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Clinical profile of gastric cancer in Khuzestan, southwest of Iran

World Journal of Gastroenterology 2006年第30期12卷 4832-4835页

作者： Hajiani Eskandar Sarmast Shoshtari mohammad Hossein Masjedizadeh Rahim Hashemi jalal Azmi Mehrdad Tahereh Rajabi Division of Gastroenterology and Hepatology Department of Internal Medicine Ahwaz Jundishapur University of Medical Sciences Ahwaz Iran Department of Surgery Ahwaz Jundishapur University of Medical Sciences Ahwaz Iran Department of Pathology Ahwaz Jundishapur University of Medical Sciences Ahwaz Iran

AIM： To analyze the characteristics of epidemiological, clinical and survival patterns among patients with carcinoma of the stomach. METHODS： We retrospectively studied the characteristics of 186 gastric adenocarcinoma patients at Ahwaz Jundishapur University Hospitals （AJSUH） from September 1, 1996 to September 1, 2002. All the patients had histopathologically-confirmed malignancy. Demographic variables, family history of gastric cancer （GC）, clinicopathologic characteristics and treatment-related variables were analyzed. Univariate analysis was performed with the log-rank test and multivariate analysis with Cox regression. P 〈 0.05 was considered statistically significant. RESULTS： Male to female ratio was 2.6：1. The mean age was 60.6 years and 14% of the patients were younger than 40 years. Adenocarcinoma, gastric lymphoma, and gastric metastasis were found in 94.5%, 2.3%, and 3% patients, respectively. There was an average of 6-mo delay between the initial symptoms and the diagnosis. Among adenocarcinoma groups, intestinal type was the commonest （55.9%） and the distal third was the most common localization （88.4%）. One hundred and thirty-four patients （72.1%） were males. Thirty-one patients （17%） had a family history of GC. Surgery was performed in 90% of patients （non-curative）. CONCLUSION： The epidemiological features of GC in south Iran mimic those in high-risk areas. There is a higher frequency of GC in young patients at our institution. Patients are detected and treated after a relatively long delay. Most patients present in advanced stages, which favors a poor overall survival, Family history of GC has a significant problem in our area, Studying the etiology of this cancer in south Iran and earlier diagnosis and subsequent better cares are recommended.

关键词： Gastric cancer Epidemiological features Khuzestan Southwest of Iran

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Exploiting Human Pose and Scene Information for Interaction Detection

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Computers, Materials & Continua 2023年第3期74卷 5853-5870页

作者： Manahil Waheed Samia Allaoua Chelloug mohammad Shorfuzzaman Abdulmajeed Alsufyani Ahmad jalal Khaled Alnowaiser Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Korea

Identifying human actions and interactions finds its use in manyareas, such as security, surveillance, assisted living, patient monitoring, rehabilitation,sports, and e-learning. This wide range of applications has attractedmany researchers to this field. Inspired by the existing recognition systems,this paper proposes a new and efficient human-object interaction recognition(HOIR) model which is based on modeling human pose and scene featureinformation. There are different aspects involved in an interaction, includingthe humans, the objects, the various body parts of the human, and the backgroundscene. Themain objectives of this research include critically examiningthe importance of all these elements in determining the interaction, estimatinghuman pose through image foresting transform (IFT), and detecting the performedinteractions based on an optimizedmulti-feature vector. The proposedmethodology has six main phases. The first phase involves preprocessing theimages. During preprocessing stages, the videos are converted into imageframes. Then their contrast is adjusted, and noise is removed. In the secondphase, the human-object pair is detected and extracted from each image *** third phase involves the identification of key body parts of the detectedhumans using IFT. The fourth phase relates to three different kinds of featureextraction techniques. Then these features are combined and optimized duringthe fifth phase. The optimized vector is used to classify the interactions in thelast phase. TheMSRDaily Activity 3D dataset has been used to test this modeland to prove its efficiency. The proposed system obtains an average accuracyof 91.7% on this dataset.

关键词： Artificial intelligence daily activities human interactions human pose information image foresting transform scene feature information

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Cochlear Synaptopathy Following Noise Exposure in Guinea Pigs: Its Electrophysiological and Histological Assessments

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Sound & Vibration 2020年第3期54卷 163-177页

作者： Parvane Mahdi Akram Pourbakht Vahid Pirhajati Mahabadi Alireza Karimi Yazdi Mahtab Rabbani Anari mohammad kamali Rehabilitation Research Center Department of AudiologySchool of Rehabilitation SciencesIran University of Medical SciencesTehran15459-13487Iran Department of Neurosciences School of MedicineIran University of Medical SciencesTehran14496-14535Iran Department of Otorhinolaryngology Tehran University of Medical SciencesTehran14197-33141Iran Department of Rehabilitation Management Iran University of Medical SciencesTehran15459-13487Iran

Exposure to high level of noise,may cause the permanent cochlear synaptic *** present study,a model of noise induced cochlear synaptopathy was established and the electrophysiological and histological metrics for its assessment was designed.6 guinea pigs were subjected to a synaptopathic noise(octave band of 4 kHz at 104 dB SPL,for 2-h).The amplitude growth curve of Auditory Brainstem Response(ABR)wave-I and wave-III latency shift in presence of noise were *** indexes were considered in pre-exposure,1 day post exposure(1DPE),1 week post exposure(1WPE)and 1 month post exposure(1MPE)to ***,the samples were histologically *** wave-I amplitude was different between pre and 1DPE(p-value≤0.05).However,at 1WPE,it was recovered at low intensities but at 70 dB SPL and above,the differences persisted even till *** masked ABR,the latency shift of wave-III was different between pre and 3 post exposure assessments(p-value≤0.05).Electro-microscopic analysis confirmed the synaptic degeneration,as the ribbons were larger than normal,hollow inside,and spherical and irregular in shape,also,the post synaptic density was abnormally thick and missed its flat *** data revealed that noise at level below that can produce permanent hearing loss,can incur synaptic ***,noise is considered to be more damaging than previously ***,designing tools for clinical assessment of synaptopathy is beneficial in comprehensive auditory evaluation of those with history of noise exposure and also in hearing protection planning.

关键词： Cochlear synaptopathy noise induced hearing loss hidden hearing loss excitotoxicity hearing protection

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Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education

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Computers, Materials & Continua 2023年第1期74卷 1607-1624页

作者： Samia Allaoua Chelloug Hamid Ashfaq Suliman A.Alsuhibany mohammad Shorfuzzaman Abdulmajeed Alsufyani Ahmad jalal Jeongmin Park Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Korea

In the past two decades,there has been a lot of work on computer vision technology that incorporates many tasks which implement basic filtering to image *** research areas of this field include object detection and object ***,wireless communication technologies are presently adopted and they have impacted the way of education that has been *** are different phases of changes in the traditional *** of three-dimensional(3D)from two-dimensional(2D)image is one of the demanding *** human can easily perceive but making 3D using software will take time ***,the blackboard has been replaced by projectors and other digital screens so such that people can understand the concept better through ***,the computer labs in schools are now more common than ***,online classes have become a ***,transferring to online education or e-learning is not without ***,we propose a method for improving the efficiency of *** proposed system consists of twoand-a-half dimensional(2.5D)features extraction using machine learning and image ***,these features are utilized to generate 3D mesh using ellipsoidal deformation *** that,3D bounding box estimation is *** results show that there is a need to move to 3D virtual reality(VR)with haptic sensors in the field of e-learning for a better understanding of real-world ***,people will have more information as compared to the traditional or simple online education *** compare our result with the ShapeNet dataset to check the accuracy of our proposed *** proposed system achieved an accuracy of 90.77%on plane class,85.72%on chair class,and car class have 72.14%.Mean accuracy of our method is 70.89%.

关键词： Artificial intelligence e-learning online education system computer vision virtual reality 3D haptic

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Differential reactivity of mouse monoclonal anti-HBs antibodies with recombinant mutant HBs antigens

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World Journal of Gastroenterology 2006年第33期12卷 5368-5374页

作者： Azam Roohi Yaghoub Yazdani jalal Khoshnoodi Seyed mohammad Jazayeri William F Carman Mahmood Chamankhah Manley Rashedan Fazel Shokri Department of Immunology School of Public Health Tehran University of Medical Sciences Tehran Iran Department of Virology School of Public Health Tehran University of Medical Sciences Tehran Iran Division of Virology Institute of Biomedical and Life Science University of Glasgow Glasgow United Kingdom Monoclonal Antibody Research Center Avesina Research Center Tehran Iran

AIM: To investigate the reactivity of a panel of 8 mouse anti-hepatitis B surface antigen (HBsAg) monoclonal antibodies (mAbs) using a collection of 9 recombinant HBsAg mutants with a variety of amino acid substitutions mostly located within the “a” ***: The entire HBs genes previously cloned into a mammalian expression vector were transiently transfected into COS7 cells. Two standard unmutated sequences of the ayw and adw subtypes served as controls. Secreted mutant proteins were collected and measured by three commercial diagnostic immunoassays to assess transfection efficiency. Reactivity of anti-HBs mAbs with mutated HBsAgs was determined by sandwich enzyme-linked immunosorbent assay (ELISA).RESULTS: Reactivity of anti-HBs mAbs with mutated HBsAgs revealed different patterns. While three mutants reacted strongly with all mAbs, two mutants reacted weakly with only two mAbs and the remaining proteins displayed variable degrees of reactivity towards different mAbs. Accordingly, four groups of mAbs with different but overlapping reactivity patterns could be envisaged. One group consisting of two mAbs (37C5-S7 and 35C6-S11) was found to recognize stable linear epitopes conserved in all mutants. Mutations outside the “a” determinant at positions 120 (P→S), 123(T→N) and 161(M→T) were found to affect reactivity of these ***: Our findings could have important implications for biophysical studies, vaccination strategies and immunotherapy of hepatitis B virus (HBV) mutants.

关键词： Hepatitis B surface antigen Hepatitis B virus Mutant Epitope mapping Vaccination Monoclonal antibody

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Semantic Segmentation and YOLO Detector over Aerial Vehicle Images

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Computers, Materials & Continua 2024年第8期80卷 3315-3332页

作者： Asifa Mehmood Qureshi Abdul Haleem Butt Abdulwahab Alazeb Naif Al Mudawi mohammad Alonazi Nouf Abdullah Almujally Ahmad jalal Hui Liu Faculty of Computing and AI Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Cognitive Systems Lab University of BremenBremen28359Germany

Intelligent vehicle tracking and detection are crucial tasks in the realm of highway ***,vehicles come in a range of sizes,which is challenging to detect,affecting the traffic monitoring system’s overall *** learning is considered to be an efficient method for object detection in vision-based *** this paper,we proposed a vision-based vehicle detection and tracking system based on a You Look Only Once version 5(YOLOv5)detector combined with a segmentation *** model consists of six *** the first step,all the extracted traffic sequence images are subjected to pre-processing to remove noise and enhance the contrast level of the *** pre-processed images are segmented by labelling each pixel to extract the uniform regions to aid the detection phase.A single-stage detector YOLOv5 is used to detect and locate vehicles in *** detection was exposed to Speeded Up Robust Feature(SURF)feature extraction to track multiple *** on this,a unique number is assigned to each vehicle to easily locate them in the succeeding image frames by extracting them using the feature-matching ***,we implemented a Kalman filter to track multiple *** the end,the vehicle path is estimated by using the centroid points of the rectangular bounding box predicted by the tracking *** experimental results and comparison reveal that our proposed vehicle detection and tracking system outperformed other state-of-the-art *** proposed implemented system provided 94.1%detection precision for Roundabout and 96.1%detection precision for Vehicle Aerial Imaging from Drone(VAID)datasets,respectively.

关键词： Semantic segmentation YOLOv5 vehicle detection and tracking Kalman filter SURF

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Effects of arbuscular mycorrhizal fungi,biochar,selenium,silica gel,and sulfur on arsenic uptake and biomass growth in Pisum sativum L.

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Emerging Contaminants 2020年第1期6卷 312-322页

作者： mohammad Zahangeer Alam Md.Anamul Hoque Golam jalal Ahammed Lynne Carpenter-Boggs Department of Environmental Science Faculty of AgricultureBangabandhu Sheikh Mujibur Rahman Agricultural University(BSMRAU)Gazipur1706Bangladesh Department of Soil Science Bangladesh Agricultural University(BAU)MymensinghBangladesh College of Forestry Henan University of Science and TechnologyLuoyang471023PR China Department of Crop and Soil Sciences Washington State University(WSU)Pullman WA99164-6420USA

Arsenic(As)is carcinogenic and highly toxic to *** accumulate As when grown in field soils irrigated with As-contaminated *** accumulation of As in roots,shoots,and grains of pea varieties can negatively affect human health via the food *** research is focused on the biomass growth and alleviation of As accumulation in roots,shoots,and grains of pea varieties in high As soil amended with arbuscular mycorrhizal fungi(AMF),biochar(BC),selenium(Se),silica gel(Si-gel),and sulfur(S).Root,shoot,and grain masses were found higher in pea grown in As soil amended with AMF,Se,Si-gel,and *** with rice husk and sawdust BC was found less effective to increase growth parameters in Bangladesh Agricultural Research Institute(BARI)Motor *** in grains was reduced by 77%,71%,and 69%by AMF,Se,and Si-gel,*** is recommended that soil amendments with AMF,S,and Se have great potential for improving biomass production of pea grown in As-contaminated soil,as well as reducing As transfer to humans through the food chains.

关键词： Arsenic Pea Food chain AMF Food safety Metal

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Multiplicity dependence of the freezeout parameters in high energy hadron-hadron collisions

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Chinese Physics C 2024年第5期48卷 124-133页

作者： Muhammad Ajaz Majid Shehzad Muhammad Waqas Haifa I.Alrebdi mohammad Ayaz Ahmad Antalov Jagnandan Shawn Jagnandan Murad Badshah jalal Hasan Baker Abdul Mosawir Quraishi Department of Physics Abdul Wali Khan University MardanMardan 23200Pakistan School of Mathematics Physics and Optoelectronic EngineeringHubei University of Automotive TechnologyShiyan 442002China Department of Physics College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Mathematics Physics and StatisticsFaculty of Natural SciencesUniversity of Guyana101110 GeorgetownGuyananSouth America Department of Physics Faculty of ScienceUniversity of TabukTabukKingdom of Saudi Arabia Department of Electrical Engineering College of EngineeringQassim UniversityUnaizahSaudi Arabia

We examined the transverse momentum(pT)spectra of various identified particles,encompassing both light-flavored and strange hadrons(π++π−,K++K−,p+p¯,ϕ,K0s,Λ+Λ¯,Ξ−+Ξ¯+,andΩ−+Ω¯+),across different multiplicity classes in proton-proton collisions(p-p)at a center-of-mass energy of s√=7 *** the Tsallis and Hagedorn models,parameters relevant to the bulk properties of nuclear matter were *** models exhibit good agreement with experimental *** our analyses,we observed a consistent decrease in the effective temperature(T)for the Tsallis model and the kinetic or thermal freeze-out temperature(T0)for the Hagedorn model,as we transitioned from higher multiplicity(class-I)to lower multiplicity(class-X).This trend is attributed to the diminished energy transfer in higher multiplicity ***,we observed that the transverse flow velocity(βT)experiences a decline from class-I to *** normalization constant,which represents the multiplicity of produced particles,was observed to decrease as we moved toward higher multiplicity *** the effective and kinetic freeze-out temperatures,as well as the transverse flow velocity,show a mild dependency on multiplicity for lighter particles,this dependency becomes more pronounced for heavier *** multiplicity parameter for heavier particles was observed to be smaller than that of lighter particles,indicating a greater abundance of lighter hadrons compared to heavier *** particle species were observed to undergo decoupling from the fireball at distinct temperatures:lighter particles exhibit lower temperatures,while heavier ones show higher temperatures,thereby supporting the concept of multiple freeze-out ***,we identified a positive correlation between the kinetic freeze-out temperature and transverse flow velocity,a scenario where particles experience stronger collective motion at a higher freeze-out *** reason for this positive correlation is th

关键词： multiplicity dependence collective properties thermal energy

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Comparison of Toxoplasma gondii seropositivity in hemodialysis and peritoneal dialysis patients

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Journal of Coastal Life Medicine 2015年第8期 621-622页

作者： Faezeh Hamidi jalal Etemadi Nader Ghabouli Mehrabani Mahmoud Mahami Oskouei Roza Motavalli mohammad reza Ardalan Department of Parasitology Faculty of MedicineTabriz University of Medical SciencesTabrizIran Student’s Research Committee Tabriz University of Medical SciencesTabrizIran Chronic Kidney Disease Research Center Tabriz University of Medical SciencesTabrizIran

Objective:To compare the seropositivity of Toxoplasma gondii in a group of peritoneal dialysis patients with hemodialysis patients and a general local population as a control group in Tabriz,Northwest ***:A total of 176 individuals were participated in the present *** them,42 were peritoneal dialysis patients,84 were hemodialysis patients and 50 were healthy ***-Toxoplasma immunoglobulin G and immunoglobulin M serologic study was administered on the collected serums and then the obtained data were analyzed using statistical ***:In the present research,70.2%of hemodialysis patients,66.6%of peritoneal dialysis patients and 68%of control group had positive results for anti-Toxoplasma immunoglobulin G *** individuals of the groups had negative serologic results for anti-Toxoplasma immunoglobulin M *** was no significant difference between Toxoplasma gondii seropositivity in hemodialysis patients and peritoneal dialysis patients and general population(P>0.05).Conclusions:The findings showed that either peritoneal dialysis or hemodialysis doesn’t increase the risk of Toxoplasma seropositivity in our region(Northwest Iran).It could be explained by the fact that the present research is carried out in a high seroprevalent area scale in which the majority of normal population had previous exposure to this parasitical infection.

关键词： Toxoplasma gondii Hemodialysis Peritoneal dialysis Seropositivity Iran

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Fault depth estimation using support vector classifier and features selection

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Applied Geophysics 2013年第1期10卷 88-96,119页

作者： mohammad Ehsan Hekmatian Vahid E. Ardestani mohammad Ali Riahi Ayyub Memar Koucheh Bagh jalal Amini Faculty of Basic Sciences of Science and Research Branch Islamic Azad University Nuclear Fuel Cycle Research School of Nuclear Science & Technology Research Institute (NSTRI) Institute of Geophysics University of Tehran Faculty of Engineering University of Tehran

Depth estimation of subsurface faults is one of the problems in gravity interpretation. We tried using the support vector classifier （SVC） method in the estimation. Using forward and nonlinear inverse techniques, detecting the depth of subsurface faults with related error is possible but it is necessary to have an initial guess for the depth and this initial guess usually comes from non-gravity data. We introduce SVC in this paper as one of the tools for estimating the depth of subsurface faults using gravity data. We can suppose that each subsurface fault depth is a class and that SVC is a classification algorithm. To better use the SVC algorithm, we select proper depth estimation features using a proper features selection （FS） algorithm. In this research, we produce a training set consisting of synthetic gravity profiles created by subsurface faults at different depths to train the SVC code to estimate the depth of real subsurface faults. Then we test our trained SVC code by a testing set consisting of other synthetic gravity profiles created by subsurface faults at different depths. We also tested our trained SVC code using real data.

关键词： depth estimation subsurface fault support vector classifier feature featuresselection

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