Colorectal cancer(CRC)is a predominant life-threatening cancer,with liver and peritoneal metastases as the primary causes of death.Intestinal inflammation,a known CRC risk factor,nurtures a local inflammatory environ...Colorectal cancer(CRC)is a predominant life-threatening cancer,with liver and peritoneal metastases as the primary causes of death.Intestinal inflammation,a known CRC risk factor,nurtures a local inflammatory environment enriched with tumor cells,endothelial cells,immune cells,cancer-associated fibroblasts,immunosuppressive cells,and secretory growth factors.The complex interactions of aberrantly expressed cytokines,chemokines,growth factors,and matrix-remodeling enzymes promote CRC pathogenesis and evoke systemic responses that affect disease outcomes.Mounting evidence suggests that these cytokines and chemokines play a role in the progression of CRC through immunosuppression and modulation of the tumor microenvironment,which is partly achieved by the recruitment of immunosuppressive cells.These cells impart features such as cancer stem cell-like properties,drug resistance,invasion,and formation of the premetastatic niche in distant organs,promoting metastasis and aggressive CRC growth.A deeper understanding of the cytokineand chemokine-mediated signaling networks that link tumor progression and metastasis will provide insights into the mechanistic details of disease aggressiveness and facilitate the development of novel therapeutics for CRC.Here,we summarized the current knowledge of cytokine-and chemokine-mediated crosstalk in the inflammatory tumor microenvironment,which drives immunosuppression,resistance to therapeutics,and metastasis during CRC progression.We also outlined the potential of this crosstalk as a novel therapeutic target for CRC.The major cytokine/chemokine pathways involved in cancer immunotherapy are also discussed in this review.展开更多
The development of artificial intelligence(AI)has increased dramatically in the last 20 years,with clinical applications progressively being explored for most of the medical specialties.The field of gastroenterology a...The development of artificial intelligence(AI)has increased dramatically in the last 20 years,with clinical applications progressively being explored for most of the medical specialties.The field of gastroenterology and hepatology,substantially reliant on vast amounts of imaging studies,is not an exception.The clinical applications of AI systems in this field include the identification of premalignant or malignant lesions(e.g.,identification of dysplasia or esophageal adenocarcinoma in Barrett’s esophagus,pancreatic malignancies),detection of lesions(e.g.,polyp identification and classification,small-bowel bleeding lesion on capsule endoscopy,pancreatic cystic lesions),development of objective scoring systems for risk stratification,predicting disease prognosis or treatment response[e.g.,determining survival in patients post-resection of hepatocellular carcinoma),determining which patients with inflammatory bowel disease(IBD)will benefit from biologic therapy],or evaluation of metrics such as bowel preparation score or quality of endoscopic examination.The objective of this comprehensive review is to analyze the available AI-related studies pertaining to the entirety of the gastrointestinal tract,including the upper,middle and lower tracts;IBD;the hepatobiliary system;and the pancreas,discussing the findings and clinical applications,as well as outlining the current limitations and future directions in this field.展开更多
Several security solutions have been proposed to detect network abnormal behavior. However, successful attacks is still a big concern in computer society. Lots of security breaches, like Distributed Denial of Service(...Several security solutions have been proposed to detect network abnormal behavior. However, successful attacks is still a big concern in computer society. Lots of security breaches, like Distributed Denial of Service(DDoS),botnets, spam, phishing, and so on, are reported every day, while the number of attacks are still increasing. In this paper, a novel voting-based deep learning framework, called VNN, is proposed to take the advantage of any kinds of deep learning structures. Considering several models created by different aspects of data and various deep learning structures, VNN provides the ability to aggregate the best models in order to create more accurate and robust results. Therefore, VNN helps the security specialists to detect more complicated attacks. Experimental results over KDDCUP'99 and CTU-13, as two well known and more widely employed datasets in computer network area, revealed the voting procedure was highly effective to increase the system performance, where the false alarms were reduced up to 75% in comparison with the original deep learning models, including Deep Neural Network(DNN), Convolutional Neural Network(CNN), Long Short-Term Memory(LSTM), and Gated Recurrent Unit(GRU).展开更多
This paper presents a novel technique for identifying soil parameters for a wheeled vehicle traversing unknown terrain. The identified soil parameters are required for predicting vehicle drawbar pull and wheel drive t...This paper presents a novel technique for identifying soil parameters for a wheeled vehicle traversing unknown terrain. The identified soil parameters are required for predicting vehicle drawbar pull and wheel drive torque, which in turn can be used for traversability prediction, traction control, and performance optimization of a wheeled vehicle on unknown terrain. The proposed technique is based on the Newton Raphson method. An approximated form of a wheel-soil interaction model based on Composite Simpson＇s Rule is employed for this purpose. The key soil parameters to be identified are internal friction angle, shear deformation modulus, and lumped pressure-sinkage coefficient. The fourth parameter, cohesion, is not too relevant to vehicle drawbar pull, and is assigned an average value during the identification process. Identified parameters are compared with known values, and shown to be in agreement. The identification method is relatively fast and robust. The identified soil parameters can effectively be used to predict drawbar pull and wheel drive torque with good accuracy. The use of identified soil parameters to design a traversability criterion for wheeled vehicles traversing unknown terrain is presented.展开更多
One of the most critical and complicated steps in mine design is a selection of suitable mining method based upon geological,geotechnical,geographical,safety and economical parameters.The aim of this study is developi...One of the most critical and complicated steps in mine design is a selection of suitable mining method based upon geological,geotechnical,geographical,safety and economical parameters.The aim of this study is developing a Monte Carlo simulation to selection the optimum mining method by using effective and major criteria and at the same time,taking subjective judgments of decision makers into consideration.Proposed approach is based on the combination of Monte Carlo simulation with conventional Analytic Hierarchy Process(AHP).Monte Carlo simulation is used to determine the confdence level of each alternative’s score,is calculated by AHP,with the respect to the variance of decision makers’opinion.The proposed method is applied for Jajarm Bauxite Mine in Iran and eventually the most appropriate mining methods for this mine are ranked.展开更多
AIM:To develop and test an Arabic version of the National Eye Institute Visual Function Questionnaire-25(NEI-VFQ-25).METHODS:NEI-VFQ-25 was translated into Arabic according to WHO translation guidelines. We enrolled a...AIM:To develop and test an Arabic version of the National Eye Institute Visual Function Questionnaire-25(NEI-VFQ-25).METHODS:NEI-VFQ-25 was translated into Arabic according to WHO translation guidelines. We enrolled adult consenting patients with bilateral chronic eye diseases who presented to 14 hospitals across Egypt from October to December 2012, and documented their clinical findings. Psychometric properties were then tested using STATA.RESULTS:We recruited 379 patients, whose mean age was(54.5±15)y. Of 46.2% were males, 227 had cataract,31 had glaucoma, 23 had retinal detachment, 37 had diabetic retinopathy, and 61 had miscellaneous visual defects. Non-response rate and the floor and ceiling numbers of the Arabic version(ARB-VFQ-25) were calculated. Internal consistency was high in all subscales(except general health), with Cronbach-α ranging from0.702-0.911. Test-retest reliability was high(intraclass correlation coefficient 0.79).CONCLUSION:RB-VFQ-25 isareliableandvalidtool for assessing visual functions of Arabic speaking patients. However, some questions had high non-response rates and should be substituted by available alternatives. Our results support the importance of including self-reported visual functions as part of routine ophthalmologic examination.展开更多
AIM:To find a non-invasive strategy for detecting choledocholithiasis before cholecystectomy,with an acceptable negative rate of endoscopic retrograde cholangiopancreatography.METHODS:All patients with symptomatic gal...AIM:To find a non-invasive strategy for detecting choledocholithiasis before cholecystectomy,with an acceptable negative rate of endoscopic retrograde cholangiopancreatography.METHODS:All patients with symptomatic gallstones were included in the study.Patients with abnormal liver functions and common bile duct abnormalities on ultrasound were referred for endoscopic retrograde cholangiopancreatography.Patients with normal ultrasoundwere referred to magnetic resonance cholangiopancreatography.All those who had a negative magnetic resonance or endoscopic retrograde cholangiopancreatography underwent laparoscopic cholecystectomy with intraoperative cholangiography.RESULTS:Seventy-eight point five percent of patients had laparoscopic cholecystectomy directly with no further investigations.Twenty-one point five percent had abnormal liver function tests,of which 52.8%had normal ultrasound results.This strategy avoided unnecessary magnetic resonance cholangiopancreatography in 47.2%of patients with abnormal liver function tests with a negative endoscopic retrograde cholangiopancreatography rate of 10%.It also avoided un-necessary endoscopic retrograde cholangiopancreatography in 35.2%of patients with abnormal liver function.CONCLUSION:This strategy reduces the cost of the routine use of magnetic resonance cholangiopancreatography,in the diagnosis and treatment of common bile duct stones before laparoscopic cholecystectomy.展开更多
Inflammatory bowel disease(IBD)is a chronic inflammatory illness of the intes-tine.While the mechanism underlying the pathogenesis of IBD is not fully under-stood,it is believed that a complex combination of host immu...Inflammatory bowel disease(IBD)is a chronic inflammatory illness of the intes-tine.While the mechanism underlying the pathogenesis of IBD is not fully under-stood,it is believed that a complex combination of host immunological response,environmental exposure,particularly the gut microbiota,and genetic suscept-ibility represents the major determinants.The gut virome is a group of viruses found in great frequency in the gastrointestinal tract of humans.The gut virome varies greatly among individuals and is influenced by factors including lifestyle,diet,health and disease conditions,geography,and urbanization.The majority of research has focused on the significance of gut bacteria in the progression of IBD,although viral populations represent an important component of the microbiome.We conducted this review to highlight the viral communities in the gut and their expected roles in the etiopathogenesis of IBD regarding published research to date.展开更多
OBJECTIVE： There is increasing interest in complementary and alternative medicine generally, and especially by those affected by chronic diseases, such as diabetes mellitus. We aimed to determine the prevalence and p...OBJECTIVE： There is increasing interest in complementary and alternative medicine generally, and especially by those affected by chronic diseases, such as diabetes mellitus. We aimed to determine the prevalence and pattern of complementary and altemative medicine use among patients suffering from diabetes mellitus in Shiraz, southern Iran. Another objective was to explore associated factors for use of complementary and alternative medicine among patients with diabetes mellitus. METHODS： A 19-item semi-structured questionnaire （open- and close-ended） was administered to 239 patients with diabetes mellitus in this cross-sectional study. It was carried out in two outpatient diabetes clinics affiliated with the Shiraz University of Medical Sciences, Shiraz, Iran. RESULTS： One hundred and eighty patients （75.3%） used at least one type of complementary and alternative medicine in the last year prior to the interview. Patients with diabetes mellitus who were living in a large family （〉 5 members）, not taking insulin, and believed that complementary and alternative medicine have synergistic effects with conventional medicine, were independently and significantly （P values： 0.02, 0.04, and 0.01, respectively） more likely to use complementary and alternative medicine. Most of the users （97.7%） reported use of herbal preparations, and 89.4% of users did not change their medication, neither in medication schedule nor its dosage. CONCLUSION： The use of complementary and alternative medicine, especially herbal remedies, is popular among diabetes patients in Shiraz, Iran. This use is associated with patients＇ family size, type of conventional medications and their view about concomitant use of complementary and conventional medicine.展开更多
The optimum moderator geometry increases the performance of prompt gamma neutron activation analysis (PGNAA) method considerably.In this work an ^(241)Am-Be source was used in the moderator geometry for detecting buri...The optimum moderator geometry increases the performance of prompt gamma neutron activation analysis (PGNAA) method considerably.In this work an ^(241)Am-Be source was used in the moderator geometry for detecting buried landmines by PGNAA method.Experiments were done to find the best moderator geometry for the moderated ^(241)Am-Be source,by replacing the mine with a neutron detector and counting the thermal neutron flux.The flux of thermal neutrons at the place of mine was used as a determining factor to introduce the best moderator geometry.展开更多
COVID-19,being the virus of fear and anxiety,is one of the most recent and emergent of various respiratory disorders.It is similar to the MERS-COV and SARS-COV,the viruses that affected a large population of different...COVID-19,being the virus of fear and anxiety,is one of the most recent and emergent of various respiratory disorders.It is similar to the MERS-COV and SARS-COV,the viruses that affected a large population of different countries in the year 2012 and 2002,respectively.Various standard models have been used for COVID-19 epidemic prediction but they suffered from low accuracy due to lesser data availability and a high level of uncertainty.The proposed approach used a machine learning-based time-series Facebook NeuralProphet model for prediction of the number of death as well as confirmed cases and compared it with Poisson Distribution,and Random Forest Model.The analysis upon dataset has been performed considering the time duration from January 1st 2020 to16th July 2021.The model has been developed to obtain the forecast values till September 2021.This study aimed to determine the pandemic prediction of COVID-19 in the second wave of coronavirus in India using the latest Time-Series model to observe and predict the coronavirus pandemic situation across the country.In India,the cases are rapidly increasing day-by-day since mid of Feb 2021.The prediction of death rate using the proposed model has a good ability to forecast the COVID-19 dataset essentially in the second wave.To empower the prediction for future validation,the proposed model works effectively.展开更多
In the present paper,the hydrodynamic performance of stepped planing craft is investigated by computational fluid dynamics(CFD)analysis.For this purpose,the hydrodynamic resistances of without step,one-step,and two-st...In the present paper,the hydrodynamic performance of stepped planing craft is investigated by computational fluid dynamics(CFD)analysis.For this purpose,the hydrodynamic resistances of without step,one-step,and two-step hulls of Cougar planing craft are evaluated under different distances of the second step and LCG from aft,weight loadings,and Froude numbers(Fr).Our CFD results are appropriately validated against our conducted experimental test in National Iranians Marine Laboratory(NIMALA),Tehran,Iran.Then,the hydrodynamic resistance of intended planing crafts under various geometrical and physical conditions is predicted using artificial neural networks(ANNs).CFD analysis shows two different trends in the growth rate of resistance to weight ratio.So that,using steps for planing craft increases the resistance to weight ratio at lower Fr and decreases it at higher Fr.Additionally,by the increase of the distance between two steps,the resistance to weight ratio is decreased and the porpoising phenomenon is delayed.Furthermore,we obtained the maximum mean square error of ANNs output in the prediction of resistance to weight ratio equal to 0.0027.Finally,the predictive equation is suggested for the resistance to weight ratio of stepped planing craft according to weights and bias of designed ANNs.展开更多
Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal ballistics.We evaluate the performance of four popular ML-based regression mode...Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal ballistics.We evaluate the performance of four popular ML-based regression models,extreme gradient boosting(XGBoost),artificial neural network(ANN),support vector regression(SVR),and Gaussian process regression(GP),on two common terminal ballistics’ problems:(a)predicting the V50ballistic limit of monolithic metallic armour impacted by small and medium calibre projectiles and fragments,and(b) predicting the depth to which a projectile will penetrate a target of semi-infinite thickness.To achieve this we utilise two datasets,each consisting of approximately 1000samples,collated from public release sources.We demonstrate that all four model types provide similarly excellent agreement when interpolating within the training data and diverge when extrapolating outside this range.Although extrapolation is not advisable for ML-based regression models,for applications such as lethality/survivability analysis,such capability is required.To circumvent this,we implement expert knowledge and physics-based models via enforced monotonicity,as a Gaussian prior mean,and through a modified loss function.The physics-informed models demonstrate improved performance over both classical physics-based models and the basic ML regression models,providing an ability to accurately fit experimental data when it is available and then revert to the physics-based model when not.The resulting models demonstrate high levels of predictive accuracy over a very wide range of projectile types,target materials and thicknesses,and impact conditions significantly more diverse than that achievable from any existing analytical approach.Compared with numerical analysis tools such as finite element solvers the ML models run orders of magnitude faster.We provide some general guidelines throughout for the development,application,and reporting of ML models in terminal ballistics problems.展开更多
This paper presents the optimal scheduling of renewable resources using interior point optimization for grid-connected and islanded microgrids (MG) that operate with no energy storage systems. The German Jordanian Uni...This paper presents the optimal scheduling of renewable resources using interior point optimization for grid-connected and islanded microgrids (MG) that operate with no energy storage systems. The German Jordanian University (GJU) microgrid system is used for illustration. We present analyses for islanded and grid-connected MG with no storage. The results show a feasible islanded MG with a substantial operational cost reduction. We obtain an average of $1 k daily cost savings when operating an islanded compared to a grid-connected MG with capped grid energy prices. This cost saving is 10 times higher when considering varying grid energy prices during the day. Although the PV power is intermittent during the day, the MG continues to operate with a voltage variation that does not 10%. The results imply that MGs of GJU similar topology can optimally and safely operate with no energy storage requirements but considerable renewable generation capacity.展开更多
Background and Aim: The levels of thyroid hormones and their binding proteins are altered in patient with cirrhosis. We aim to study the changes in triiodothyronine level in HCV related cirrhosis and its correlation t...Background and Aim: The levels of thyroid hormones and their binding proteins are altered in patient with cirrhosis. We aim to study the changes in triiodothyronine level in HCV related cirrhosis and its correlation to the severity of liver decompensation. Patients and Methods: This study included seventy two patients with HCV related cirrhosis in three groups Group I: 24 patients with Child A class Group II: 24 patients with Child B and C classes without hepatic encephalopathy Group III: 24 patients with Child B and C classes with hepatic encephalopathy. Results: T3 level was significantly lower in group III than group I and II (0.74 ng/ml vs 1 and 1.3 ng/ml in group II and I in succession). The correlation between Child’s score and T3 level was highly significant (r = -0.64, P < 0.001). Conclusion: Triiodothyronine level is lower in cirrhosis and its level is correlated to the severity of decompensation.展开更多
Liver transplantation(LT)provides a life-saving option for cirrhotic patients with complications and hepatocellular carcinoma.Despite the increasing number of liver transplants performed each year,the number of LT can...Liver transplantation(LT)provides a life-saving option for cirrhotic patients with complications and hepatocellular carcinoma.Despite the increasing number of liver transplants performed each year,the number of LT candidates on the waitlist remains unchanged due to an imbalance between donor organ supply and the demand which increases the waitlist time and mortality.Living donor liver transplant had a great role in increasing the donor pool and shortened waitlist time for LT candidates.Nevertheless,further strategies can be implemented to increase the pool of potential donors in deceased donor LT,such as reducing the rate of organ discards.Utilizing hepatitis C virus(HCV)seropositive liver grafts is one of the expanded donor organ criteria.A yearly increase of hundreds of transplants is anticipated as a result of maximizing the utilization of HCV-positive organs for HCV-negative recipients.Direct-acting antiviral therapy's efficacy has revolutionized the treatment of HCV infection and the use of HCV-seropositive donors in transplantation.The American Society of Transplantation advises against performing transplants from HCV-infected liver donors(D+)into HCV-negative recipient(R-)unless under Institutional Review Board-approved study rules and with full informed consent of the knowledge gaps associated with such transplants.Proper selection of patients to be transplanted with HCV-infected grafts and confirming their access to direct-acting antivirals if needed is im-portant.National and international consensuses are needed to regulate this process to ensure the maximum benefit and the least adverse events.展开更多
Objective:This study aimed to evaluate the effects of foot reflexology on fatigue and sleep quality in school-aged children receiving hemodialysis.Methods:A quasi-experimental pretest-posttest design was utilized.Thir...Objective:This study aimed to evaluate the effects of foot reflexology on fatigue and sleep quality in school-aged children receiving hemodialysis.Methods:A quasi-experimental pretest-posttest design was utilized.Thirty children of ages 6-12 undergoing in-center hemodialysis were recruited.The Pittsburgh Sleep Quality Index(PSQI)and Inventory of Fatigue Symptom(IFS)scales were administered at baseline.Participants then received 30 min of foot reflexology massage before hemodialysis sessions 3 days per week for 12 weeks.Posttest administration of the sleep and fatigue scales occurred after the intervention period.Results:Reflexology massage led to significant improvements in sleep quality components,including duration(0%-30%normal sleepers),efficiency(0%-50%>85%),latency(50%-0%>60 min),disturbances,and daytime dysfunction.The mean PSQI score decreased from 18.2 to 9.7(P<0.05).Fatigue severity substantially decreased,with the mean IFS score improving from 105.7 to 64.1(P<0.05).Conclusion:Foot reflexology is an effective nursing intervention for reducing fatigue and improving sleep quality in children on hemodialysis,warranting integration into routine care.展开更多
This research focuses on the electric behavior of a mixed ferrielectric sulflower-like nanostructure.The structure includes a core with spin S_(i)^(Z)-1 atoms and a shell with spin σ_(j)^(Z)-5/2 atoms.The Blume–Cape...This research focuses on the electric behavior of a mixed ferrielectric sulflower-like nanostructure.The structure includes a core with spin S_(i)^(Z)-1 atoms and a shell with spin σ_(j)^(Z)-5/2 atoms.The Blume–Capel model and the Monte Carlo technique(MCt)with the Metropolis algorithm are employed.Diagrams are established for absolute zero,investigating stable spin configurations correlated with various physical parameters.The MCt method explores phase transition behavior and electric hysteresis cycles under different physical parameters.展开更多
This paper investigates some of the ways that Chinese medicine has been transferred to the Western world and to Islamic territories. During the Golden Age of Islam （8th to 13th century CE）, the herbal drug trade pro...This paper investigates some of the ways that Chinese medicine has been transferred to the Western world and to Islamic territories. During the Golden Age of Islam （8th to 13th century CE）, the herbal drug trade promoted significant commercial and scientific exchange between China and the Muslim world. Chinese herbal drugs have been described by medieval Muslim medical scholars such as Tabari （870 CE）, Rhazes （925 CE）, Haly Abbas （982 CE）, Avicenna （1037 CE） and Jurjani （1137 CE）. The term al-sin （the Arabic word for China） is used 46 times in Avicenna＇s Canon of Medicine in reference to herbal drugs imported from China. Cinnamon （dar sini; ＂Chinese herb＂）, wild ginger （asaron）, rhubarb （rivand-e sini）, nutmeg （basbasa）, incense tree wood （ood）, cubeb （kababe） and sandalwood （sandal） were the most frequently mentioned Chinese herbs in Islamic medical books. There are also multiple similarities between the clinical uses of these herbs in both medical systems. It appears that Chinese herbal drugs were a major component of the exchange of goods and knowledge between China and the Islamic and later to the Western world amid this era.展开更多
基金Ramalingaswami Fellowship,Grant/Award Number:D.O.NO.BT/HRD/35/02/2006the Department of Biotechnology,&Core Research grant,Grant/Award Number:CRG/2021/003805+1 种基金Science and Engineering Research Board(SERB),Govt.of India,New DelhiSidra Medicine Precision Program,Grant/Award Numbers:5081012003,5081012002。
文摘Colorectal cancer(CRC)is a predominant life-threatening cancer,with liver and peritoneal metastases as the primary causes of death.Intestinal inflammation,a known CRC risk factor,nurtures a local inflammatory environment enriched with tumor cells,endothelial cells,immune cells,cancer-associated fibroblasts,immunosuppressive cells,and secretory growth factors.The complex interactions of aberrantly expressed cytokines,chemokines,growth factors,and matrix-remodeling enzymes promote CRC pathogenesis and evoke systemic responses that affect disease outcomes.Mounting evidence suggests that these cytokines and chemokines play a role in the progression of CRC through immunosuppression and modulation of the tumor microenvironment,which is partly achieved by the recruitment of immunosuppressive cells.These cells impart features such as cancer stem cell-like properties,drug resistance,invasion,and formation of the premetastatic niche in distant organs,promoting metastasis and aggressive CRC growth.A deeper understanding of the cytokineand chemokine-mediated signaling networks that link tumor progression and metastasis will provide insights into the mechanistic details of disease aggressiveness and facilitate the development of novel therapeutics for CRC.Here,we summarized the current knowledge of cytokine-and chemokine-mediated crosstalk in the inflammatory tumor microenvironment,which drives immunosuppression,resistance to therapeutics,and metastasis during CRC progression.We also outlined the potential of this crosstalk as a novel therapeutic target for CRC.The major cytokine/chemokine pathways involved in cancer immunotherapy are also discussed in this review.
文摘The development of artificial intelligence(AI)has increased dramatically in the last 20 years,with clinical applications progressively being explored for most of the medical specialties.The field of gastroenterology and hepatology,substantially reliant on vast amounts of imaging studies,is not an exception.The clinical applications of AI systems in this field include the identification of premalignant or malignant lesions(e.g.,identification of dysplasia or esophageal adenocarcinoma in Barrett’s esophagus,pancreatic malignancies),detection of lesions(e.g.,polyp identification and classification,small-bowel bleeding lesion on capsule endoscopy,pancreatic cystic lesions),development of objective scoring systems for risk stratification,predicting disease prognosis or treatment response[e.g.,determining survival in patients post-resection of hepatocellular carcinoma),determining which patients with inflammatory bowel disease(IBD)will benefit from biologic therapy],or evaluation of metrics such as bowel preparation score or quality of endoscopic examination.The objective of this comprehensive review is to analyze the available AI-related studies pertaining to the entirety of the gastrointestinal tract,including the upper,middle and lower tracts;IBD;the hepatobiliary system;and the pancreas,discussing the findings and clinical applications,as well as outlining the current limitations and future directions in this field.
基金supported by the National Natural Science Foundation of China (No. 61872212)the National Key Research and Development Program of China (No.2016YFB1000102)。
文摘Several security solutions have been proposed to detect network abnormal behavior. However, successful attacks is still a big concern in computer society. Lots of security breaches, like Distributed Denial of Service(DDoS),botnets, spam, phishing, and so on, are reported every day, while the number of attacks are still increasing. In this paper, a novel voting-based deep learning framework, called VNN, is proposed to take the advantage of any kinds of deep learning structures. Considering several models created by different aspects of data and various deep learning structures, VNN provides the ability to aggregate the best models in order to create more accurate and robust results. Therefore, VNN helps the security specialists to detect more complicated attacks. Experimental results over KDDCUP'99 and CTU-13, as two well known and more widely employed datasets in computer network area, revealed the voting procedure was highly effective to increase the system performance, where the false alarms were reduced up to 75% in comparison with the original deep learning models, including Deep Neural Network(DNN), Convolutional Neural Network(CNN), Long Short-Term Memory(LSTM), and Gated Recurrent Unit(GRU).
基金This work was supported in part by the EPSRC (No.GR/S31402/01).
文摘This paper presents a novel technique for identifying soil parameters for a wheeled vehicle traversing unknown terrain. The identified soil parameters are required for predicting vehicle drawbar pull and wheel drive torque, which in turn can be used for traversability prediction, traction control, and performance optimization of a wheeled vehicle on unknown terrain. The proposed technique is based on the Newton Raphson method. An approximated form of a wheel-soil interaction model based on Composite Simpson＇s Rule is employed for this purpose. The key soil parameters to be identified are internal friction angle, shear deformation modulus, and lumped pressure-sinkage coefficient. The fourth parameter, cohesion, is not too relevant to vehicle drawbar pull, and is assigned an average value during the identification process. Identified parameters are compared with known values, and shown to be in agreement. The identification method is relatively fast and robust. The identified soil parameters can effectively be used to predict drawbar pull and wheel drive torque with good accuracy. The use of identified soil parameters to design a traversability criterion for wheeled vehicles traversing unknown terrain is presented.
文摘One of the most critical and complicated steps in mine design is a selection of suitable mining method based upon geological,geotechnical,geographical,safety and economical parameters.The aim of this study is developing a Monte Carlo simulation to selection the optimum mining method by using effective and major criteria and at the same time,taking subjective judgments of decision makers into consideration.Proposed approach is based on the combination of Monte Carlo simulation with conventional Analytic Hierarchy Process(AHP).Monte Carlo simulation is used to determine the confdence level of each alternative’s score,is calculated by AHP,with the respect to the variance of decision makers’opinion.The proposed method is applied for Jajarm Bauxite Mine in Iran and eventually the most appropriate mining methods for this mine are ranked.
文摘AIM:To develop and test an Arabic version of the National Eye Institute Visual Function Questionnaire-25(NEI-VFQ-25).METHODS:NEI-VFQ-25 was translated into Arabic according to WHO translation guidelines. We enrolled adult consenting patients with bilateral chronic eye diseases who presented to 14 hospitals across Egypt from October to December 2012, and documented their clinical findings. Psychometric properties were then tested using STATA.RESULTS:We recruited 379 patients, whose mean age was(54.5±15)y. Of 46.2% were males, 227 had cataract,31 had glaucoma, 23 had retinal detachment, 37 had diabetic retinopathy, and 61 had miscellaneous visual defects. Non-response rate and the floor and ceiling numbers of the Arabic version(ARB-VFQ-25) were calculated. Internal consistency was high in all subscales(except general health), with Cronbach-α ranging from0.702-0.911. Test-retest reliability was high(intraclass correlation coefficient 0.79).CONCLUSION:RB-VFQ-25 isareliableandvalidtool for assessing visual functions of Arabic speaking patients. However, some questions had high non-response rates and should be substituted by available alternatives. Our results support the importance of including self-reported visual functions as part of routine ophthalmologic examination.
文摘AIM:To find a non-invasive strategy for detecting choledocholithiasis before cholecystectomy,with an acceptable negative rate of endoscopic retrograde cholangiopancreatography.METHODS:All patients with symptomatic gallstones were included in the study.Patients with abnormal liver functions and common bile duct abnormalities on ultrasound were referred for endoscopic retrograde cholangiopancreatography.Patients with normal ultrasoundwere referred to magnetic resonance cholangiopancreatography.All those who had a negative magnetic resonance or endoscopic retrograde cholangiopancreatography underwent laparoscopic cholecystectomy with intraoperative cholangiography.RESULTS:Seventy-eight point five percent of patients had laparoscopic cholecystectomy directly with no further investigations.Twenty-one point five percent had abnormal liver function tests,of which 52.8%had normal ultrasound results.This strategy avoided unnecessary magnetic resonance cholangiopancreatography in 47.2%of patients with abnormal liver function tests with a negative endoscopic retrograde cholangiopancreatography rate of 10%.It also avoided un-necessary endoscopic retrograde cholangiopancreatography in 35.2%of patients with abnormal liver function.CONCLUSION:This strategy reduces the cost of the routine use of magnetic resonance cholangiopancreatography,in the diagnosis and treatment of common bile duct stones before laparoscopic cholecystectomy.
文摘Inflammatory bowel disease(IBD)is a chronic inflammatory illness of the intes-tine.While the mechanism underlying the pathogenesis of IBD is not fully under-stood,it is believed that a complex combination of host immunological response,environmental exposure,particularly the gut microbiota,and genetic suscept-ibility represents the major determinants.The gut virome is a group of viruses found in great frequency in the gastrointestinal tract of humans.The gut virome varies greatly among individuals and is influenced by factors including lifestyle,diet,health and disease conditions,geography,and urbanization.The majority of research has focused on the significance of gut bacteria in the progression of IBD,although viral populations represent an important component of the microbiome.We conducted this review to highlight the viral communities in the gut and their expected roles in the etiopathogenesis of IBD regarding published research to date.
文摘OBJECTIVE： There is increasing interest in complementary and alternative medicine generally, and especially by those affected by chronic diseases, such as diabetes mellitus. We aimed to determine the prevalence and pattern of complementary and altemative medicine use among patients suffering from diabetes mellitus in Shiraz, southern Iran. Another objective was to explore associated factors for use of complementary and alternative medicine among patients with diabetes mellitus. METHODS： A 19-item semi-structured questionnaire （open- and close-ended） was administered to 239 patients with diabetes mellitus in this cross-sectional study. It was carried out in two outpatient diabetes clinics affiliated with the Shiraz University of Medical Sciences, Shiraz, Iran. RESULTS： One hundred and eighty patients （75.3%） used at least one type of complementary and alternative medicine in the last year prior to the interview. Patients with diabetes mellitus who were living in a large family （〉 5 members）, not taking insulin, and believed that complementary and alternative medicine have synergistic effects with conventional medicine, were independently and significantly （P values： 0.02, 0.04, and 0.01, respectively） more likely to use complementary and alternative medicine. Most of the users （97.7%） reported use of herbal preparations, and 89.4% of users did not change their medication, neither in medication schedule nor its dosage. CONCLUSION： The use of complementary and alternative medicine, especially herbal remedies, is popular among diabetes patients in Shiraz, Iran. This use is associated with patients＇ family size, type of conventional medications and their view about concomitant use of complementary and conventional medicine.
文摘The optimum moderator geometry increases the performance of prompt gamma neutron activation analysis (PGNAA) method considerably.In this work an ^(241)Am-Be source was used in the moderator geometry for detecting buried landmines by PGNAA method.Experiments were done to find the best moderator geometry for the moderated ^(241)Am-Be source,by replacing the mine with a neutron detector and counting the thermal neutron flux.The flux of thermal neutrons at the place of mine was used as a determining factor to introduce the best moderator geometry.
基金This work was supported by the Taif University Researchers supporting Project Number(TURSP-2020/254).
文摘COVID-19,being the virus of fear and anxiety,is one of the most recent and emergent of various respiratory disorders.It is similar to the MERS-COV and SARS-COV,the viruses that affected a large population of different countries in the year 2012 and 2002,respectively.Various standard models have been used for COVID-19 epidemic prediction but they suffered from low accuracy due to lesser data availability and a high level of uncertainty.The proposed approach used a machine learning-based time-series Facebook NeuralProphet model for prediction of the number of death as well as confirmed cases and compared it with Poisson Distribution,and Random Forest Model.The analysis upon dataset has been performed considering the time duration from January 1st 2020 to16th July 2021.The model has been developed to obtain the forecast values till September 2021.This study aimed to determine the pandemic prediction of COVID-19 in the second wave of coronavirus in India using the latest Time-Series model to observe and predict the coronavirus pandemic situation across the country.In India,the cases are rapidly increasing day-by-day since mid of Feb 2021.The prediction of death rate using the proposed model has a good ability to forecast the COVID-19 dataset essentially in the second wave.To empower the prediction for future validation,the proposed model works effectively.
文摘In the present paper,the hydrodynamic performance of stepped planing craft is investigated by computational fluid dynamics(CFD)analysis.For this purpose,the hydrodynamic resistances of without step,one-step,and two-step hulls of Cougar planing craft are evaluated under different distances of the second step and LCG from aft,weight loadings,and Froude numbers(Fr).Our CFD results are appropriately validated against our conducted experimental test in National Iranians Marine Laboratory(NIMALA),Tehran,Iran.Then,the hydrodynamic resistance of intended planing crafts under various geometrical and physical conditions is predicted using artificial neural networks(ANNs).CFD analysis shows two different trends in the growth rate of resistance to weight ratio.So that,using steps for planing craft increases the resistance to weight ratio at lower Fr and decreases it at higher Fr.Additionally,by the increase of the distance between two steps,the resistance to weight ratio is decreased and the porpoising phenomenon is delayed.Furthermore,we obtained the maximum mean square error of ANNs output in the prediction of resistance to weight ratio equal to 0.0027.Finally,the predictive equation is suggested for the resistance to weight ratio of stepped planing craft according to weights and bias of designed ANNs.
文摘Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal ballistics.We evaluate the performance of four popular ML-based regression models,extreme gradient boosting(XGBoost),artificial neural network(ANN),support vector regression(SVR),and Gaussian process regression(GP),on two common terminal ballistics’ problems:(a)predicting the V50ballistic limit of monolithic metallic armour impacted by small and medium calibre projectiles and fragments,and(b) predicting the depth to which a projectile will penetrate a target of semi-infinite thickness.To achieve this we utilise two datasets,each consisting of approximately 1000samples,collated from public release sources.We demonstrate that all four model types provide similarly excellent agreement when interpolating within the training data and diverge when extrapolating outside this range.Although extrapolation is not advisable for ML-based regression models,for applications such as lethality/survivability analysis,such capability is required.To circumvent this,we implement expert knowledge and physics-based models via enforced monotonicity,as a Gaussian prior mean,and through a modified loss function.The physics-informed models demonstrate improved performance over both classical physics-based models and the basic ML regression models,providing an ability to accurately fit experimental data when it is available and then revert to the physics-based model when not.The resulting models demonstrate high levels of predictive accuracy over a very wide range of projectile types,target materials and thicknesses,and impact conditions significantly more diverse than that achievable from any existing analytical approach.Compared with numerical analysis tools such as finite element solvers the ML models run orders of magnitude faster.We provide some general guidelines throughout for the development,application,and reporting of ML models in terminal ballistics problems.
文摘This paper presents the optimal scheduling of renewable resources using interior point optimization for grid-connected and islanded microgrids (MG) that operate with no energy storage systems. The German Jordanian University (GJU) microgrid system is used for illustration. We present analyses for islanded and grid-connected MG with no storage. The results show a feasible islanded MG with a substantial operational cost reduction. We obtain an average of $1 k daily cost savings when operating an islanded compared to a grid-connected MG with capped grid energy prices. This cost saving is 10 times higher when considering varying grid energy prices during the day. Although the PV power is intermittent during the day, the MG continues to operate with a voltage variation that does not 10%. The results imply that MGs of GJU similar topology can optimally and safely operate with no energy storage requirements but considerable renewable generation capacity.
文摘Background and Aim: The levels of thyroid hormones and their binding proteins are altered in patient with cirrhosis. We aim to study the changes in triiodothyronine level in HCV related cirrhosis and its correlation to the severity of liver decompensation. Patients and Methods: This study included seventy two patients with HCV related cirrhosis in three groups Group I: 24 patients with Child A class Group II: 24 patients with Child B and C classes without hepatic encephalopathy Group III: 24 patients with Child B and C classes with hepatic encephalopathy. Results: T3 level was significantly lower in group III than group I and II (0.74 ng/ml vs 1 and 1.3 ng/ml in group II and I in succession). The correlation between Child’s score and T3 level was highly significant (r = -0.64, P < 0.001). Conclusion: Triiodothyronine level is lower in cirrhosis and its level is correlated to the severity of decompensation.
文摘Liver transplantation(LT)provides a life-saving option for cirrhotic patients with complications and hepatocellular carcinoma.Despite the increasing number of liver transplants performed each year,the number of LT candidates on the waitlist remains unchanged due to an imbalance between donor organ supply and the demand which increases the waitlist time and mortality.Living donor liver transplant had a great role in increasing the donor pool and shortened waitlist time for LT candidates.Nevertheless,further strategies can be implemented to increase the pool of potential donors in deceased donor LT,such as reducing the rate of organ discards.Utilizing hepatitis C virus(HCV)seropositive liver grafts is one of the expanded donor organ criteria.A yearly increase of hundreds of transplants is anticipated as a result of maximizing the utilization of HCV-positive organs for HCV-negative recipients.Direct-acting antiviral therapy's efficacy has revolutionized the treatment of HCV infection and the use of HCV-seropositive donors in transplantation.The American Society of Transplantation advises against performing transplants from HCV-infected liver donors(D+)into HCV-negative recipient(R-)unless under Institutional Review Board-approved study rules and with full informed consent of the knowledge gaps associated with such transplants.Proper selection of patients to be transplanted with HCV-infected grafts and confirming their access to direct-acting antivirals if needed is im-portant.National and international consensuses are needed to regulate this process to ensure the maximum benefit and the least adverse events.
文摘Objective:This study aimed to evaluate the effects of foot reflexology on fatigue and sleep quality in school-aged children receiving hemodialysis.Methods:A quasi-experimental pretest-posttest design was utilized.Thirty children of ages 6-12 undergoing in-center hemodialysis were recruited.The Pittsburgh Sleep Quality Index(PSQI)and Inventory of Fatigue Symptom(IFS)scales were administered at baseline.Participants then received 30 min of foot reflexology massage before hemodialysis sessions 3 days per week for 12 weeks.Posttest administration of the sleep and fatigue scales occurred after the intervention period.Results:Reflexology massage led to significant improvements in sleep quality components,including duration(0%-30%normal sleepers),efficiency(0%-50%>85%),latency(50%-0%>60 min),disturbances,and daytime dysfunction.The mean PSQI score decreased from 18.2 to 9.7(P<0.05).Fatigue severity substantially decreased,with the mean IFS score improving from 105.7 to 64.1(P<0.05).Conclusion:Foot reflexology is an effective nursing intervention for reducing fatigue and improving sleep quality in children on hemodialysis,warranting integration into routine care.
基金supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2020R1I1A3052258)funded by Researcher Supporting Project number (RSP2024R117), King Saud University, Riyadh, Saudi Arabia
文摘This research focuses on the electric behavior of a mixed ferrielectric sulflower-like nanostructure.The structure includes a core with spin S_(i)^(Z)-1 atoms and a shell with spin σ_(j)^(Z)-5/2 atoms.The Blume–Capel model and the Monte Carlo technique(MCt)with the Metropolis algorithm are employed.Diagrams are established for absolute zero,investigating stable spin configurations correlated with various physical parameters.The MCt method explores phase transition behavior and electric hysteresis cycles under different physical parameters.
文摘This paper investigates some of the ways that Chinese medicine has been transferred to the Western world and to Islamic territories. During the Golden Age of Islam （8th to 13th century CE）, the herbal drug trade promoted significant commercial and scientific exchange between China and the Muslim world. Chinese herbal drugs have been described by medieval Muslim medical scholars such as Tabari （870 CE）, Rhazes （925 CE）, Haly Abbas （982 CE）, Avicenna （1037 CE） and Jurjani （1137 CE）. The term al-sin （the Arabic word for China） is used 46 times in Avicenna＇s Canon of Medicine in reference to herbal drugs imported from China. Cinnamon （dar sini; ＂Chinese herb＂）, wild ginger （asaron）, rhubarb （rivand-e sini）, nutmeg （basbasa）, incense tree wood （ood）, cubeb （kababe） and sandalwood （sandal） were the most frequently mentioned Chinese herbs in Islamic medical books. There are also multiple similarities between the clinical uses of these herbs in both medical systems. It appears that Chinese herbal drugs were a major component of the exchange of goods and knowledge between China and the Islamic and later to the Western world amid this era.
