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Retroperitoneal bronchogenic cyst:A case report and review of literature

World Journal of Clinical Cases 2024年第15期12卷 2586-2596页

作者： Abdul Malik Qais ahmad Naseer Muhammad Asad Iqbal Shi-Ya Han Sheng-Chun Dang Department of General Surgery The Affiliated Hospital of Jiangsu UniversityZhenjiang 212001Jiangsu ProvinceChina Department of Preventive Medicine and Public Health Laboratory Science School of MedicineJiangsu UniversityZhenjiang 212013Jiangsu ProvinceChina Department of Laboratory Medicine School of MedicineJiangsu UniversityZhenjiang 212013Jiangsu ProvinceChina Department of Clinical Pharmacy Shenyang Pharmaceutical UniversityShenyang 110000Liaoning ProvinceChina Department of Surgery Siyang HospitalSuqian 223700Jiangsu ProvinceChina

BACKGROUND Bronchogenic cysts are rare developmental anomalies that belong to the category of congenital enterogenous *** arise from lung buds and are present at *** embryonic foregut is their ***,they are located within the chest cavity,particularly in the cavum mediastinale of the thoracic cavity or lodged in the pulmonary parenchyma,and are considered a type of lung bud *** SUMMARY A 49-year-old male patient was admitted to the hospital due to the detection of a retroperitoneal mass during a physical *** weeks before admission,the patient underwent a physical examination and routine laboratory tests,which revealed a space-occupying mass in the retroperitoneal *** patient did not report any symptoms(such as abdominal pain,flatulence,nausea,vomiting,high fever,or chills).The computed tomography(CT)revealed a retroperitoneal spaceoccupying lesion with minimal enhancement and a CT value of approximately 36 Hounsfield *** lesion was not delineated from the boundary of the pancreatic body and was closely related to the retroperitoneum *** Following a series of tests,an abdominal mass was identified,prompting the implementation of a laparoscopic retroperitoneal mass excision *** the investigation,an 8 cm×7 cm cystic round-shaped mass with a distinct demarcation was identified in the upper posterior region of the ***,full resection of the mass was *** pathological examination reveled a cystic mass characterized by a smooth inner *** cystic mass was found to contain a white,viscous liquid within its capsule.

关键词： Bronchogenic cyst Retroperitoneal space Excision Laparoscopic surgery Case report

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Abomasal infusion of branched-chain amino acids or branched-chain keto-acids alter lactation performance and liver triglycerides in fresh cows

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Journal of Animal Science and Biotechnology 2024年第3期15卷 1145-1157页

作者： Kristen Gallagher Isabelle Bernstein Cynthia Collings David Main Ghayyoor ahmad Sarah Naughton Jayasimha Daddam Vengai Mavangira Mike Vandehaar Zheng Zhou Department of Animal Science Michigan State UniversityEast Lansing 48824USA Department of Veterinary Diagnostic and Production Animal Medicine Ames 50011USA

Background Dairy cows are at high risk of fatty liver disease in early lactation,but current preventative measures are not always *** with fatty liver have lower circulating branched-chain amino acid(BCAA)concentra-tions whereas cows with high circulating BCAA levels have low liver triglyceride(TG).Our objective was to determine the impact of BCAA and their corresponding ketoacids(branched-chain ketoacids,BCKA)on production performance and liver TG accumulation in Holstein cows in the first 3 weeks *** Thirty-six multiparous Holstein cows were used in a randomized block design *** were abomasally infused for the first 21 d postpartum with solutions of 1)saline(CON,n=12);2)BCA(67 g valine,50 g leu-cine,and 34 g isoleucine,n=12);and 3)BCK(77 g 2-ketovaline calcium salt,57 g 2-ketoleucine calcium salt,and 39 g 2-ketoisoleucine calcium salt,n=12).All cows received the same *** effects were determined using PROC GLIMMIX in *** No differences were detected for body weight,body condition score,or dry matter intake averaged over the first 21 d *** receiving BCK had significantly lower liver TG concentrations compared to CON(6.60%vs.4.77%,standard error of the mean(SEM)0.49)during the first 3 weeks of *** of BCA increased milk yield(39.5 vs.35.3 kg/d,SEM 1.8),milk fat yield(2.10 vs.1.69 kg/d,SEM 0.08),and lactose yield(2.11 vs.1.67 kg/d,SEM 0.07)compared with *** to CON,cows receiving BCA had lower plasma glucose(55.0 vs.59.2 mg/dL,SEM 0.86)but higherβ-hydroxybutyrate(9.17 vs.6.00 mg/dL,SEM 0.80).Conclusions Overall,BCAA supplementation in this study improved milk production,whereas BCKA supplementa-tion reduced TG accumulation in the liver of fresh cows.

关键词： Branched-chain amino acids Branched-chain ketoacids Fatty liver Fresh cow

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Radiography Image Classification Using Deep Convolutional Neural Networks

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Journal of Computer and Communications 2024年第6期12卷 199-209页

作者： ahmad Chowdhury Haiyi Zhang Department of Computer Science Acadia University Wolfville Canada

Research has shown that chest radiography images of patients with different diseases, such as pneumonia, COVID-19, SARS, pneumothorax, etc., all exhibit some form of abnormality. Several deep learning techniques can be used to identify each of these anomalies in the chest x-ray images. Convolutional neural networks (CNNs) have shown great success in the fields of image recognition and image classification since there are numerous large-scale annotated image datasets available. The classification of medical images, particularly radiographic images, remains one of the biggest hurdles in medical diagnosis because of the restricted availability of annotated medical images. However, such difficulty can be solved by utilizing several deep learning strategies, including data augmentation and transfer learning. The aim was to build a model that would detect abnormalities in chest x-ray images with the highest probability. To do that, different models were built with different features. While making a CNN model, one of the main tasks is to tune the model by changing the hyperparameters and layers so that the model gives out good training and testing results. In our case, three different models were built, and finally, the last one gave out the best-predicted results. From that last model, we got 98% training accuracy, 84% validation, and 81% testing accuracy. The reason behind the final model giving out the best evaluation scores is that it was a well-fitted model. There was no overfitting or underfitting issues. Our aim with this project was to make a tool using the CNN model in R language, which will help detect abnormalities in radiography images. The tool will be able to detect diseases such as Pneumonia, Covid-19, Effusions, Infiltration, Pneumothorax, and others. Because of its high accuracy, this research chose to use supervised multi-class classification techniques as well as Convolutional Neural Networks (CNNs) to classify different chest x-ray images. CNNs are extr

关键词： CNN Radiography Image Classification R Keras Chest X-Ray Machine Learning

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Modelling of debris-flow susceptibility and propagation: a case study from Northwest Himalaya

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Journal of Mountain Science 2024年第1期21卷 200-217页

作者： Hamza DAUD Javed Iqbal TANOLI Sardar Muhammad ASIF Muhammad QASIM Muhammad ALI Junaid KHAN Zahid Imran BHATTI Ishtiaq ahmad Khan JADOON Badong National Observation and Research Station of Geohazards China University of GeosciencesWuhan 430074China Department of Earth Sciences COMSATS University IslamabadAbbottabad Campus 22010Pakistan Department of Earth Sciences Sultan Qaboos UniversityAl-KhoudMascat 123Oman Faculty of Engineering China University of Geosciences(Wuhan)Wuhan 430074China Department of Earth Sciences Abbottabad University of Science and TechnologyHavelian 22500Pakistan

The geological and geographical position of the Northwest Himalayas makes it a vulnerable area for mass movements particularly landslides and debris flows. Mass movements have had a substantial impact on the study area which is extending along Karakorum Highway(KKH) from Besham to Chilas. Intense seismicity, deep gorges, steep terrain and extreme climatic events trigger multiple mountain hazards along the KKH, among which debris flow is recognized as the most destructive geohazard. This study aims to prepare a field-based debris flow inventory map at a regional scale along a 200 km stretch from Besham to Chilas. A total of 117 debris flows were identified in the field, and subsequently, a point-based debris-flow inventory and catchment delineation were performed through Arc GIS analysis. Regional scale debris flow susceptibility and propagation maps were prepared using Weighted Overlay Method(WOM) and Flow-R technique sequentially. Predisposing factors include slope, slope aspect, elevation, Topographic Roughness Index(TRI), Topographic Wetness Index(TWI), stream buffer, distance to faults, lithology rainfall, curvature, and collapsed material layer. The dataset was randomly divided into training data(75%) and validation data(25%). Results were validated through the Receiver Operator Characteristics(ROC) curve. Results show that Area Under the Curve(AUC) using WOM model is 79.2%. Flow-R propagation of debris flow shows that the 13.15%, 22.94%, and 63.91% areas are very high, high, and low susceptible to debris flow respectively. The propagation predicated by Flow-R validates the naturally occurring debris flow propagation as observed in the field surveys. The output of this research will provide valuable input to the decision makers for the site selection, designing of the prevention system, and for the protection of current infrastructure.

关键词： North Pakistan Debris flow Flow-R Propagation Susceptibility mapping Debris-flow inventory Weighted Overlay Method

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Q-switched giant pulsed erbium-doped all-fiber laser with V_(2)ZnC MAX phase saturable absorber

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Optoelectronics Letters 2024年第6期20卷 321-329页

作者： Kawther M Musthafa Azura Hamzah Ooi Wei Ling ahmad Haziq Aiman Rosol Norliza Mohamed Sulaiman Wadi Harun Malaysia-Japan International Institute of Technology Universiti Teknologi MalaysiaKuala Lumpur 54100Malaysia Razak Faculty of Technology and Informatics Universiti Teknologi MalaysiaKuala Lumpur 54100Malaysia Department of Electrical Engineering University of MalayaKuala Lumpur 50603Malaysia1

MXenes,drawn from MAX phases,are special two-dimensional substances with numerous advantages in nonlinear optics,specifically in giant and ultrashort pulsed-laser ***_(3)C_(2)T_(x)and Ti_(2)CT_(x)nanosheets however rapidly deteriorate under ambient conditions,limiting their *** paper demonstrates how excellent modulation depth of one of the MAX phase compounds vanadium zinc carbide(V_2ZnC)makes it a brilliant saturable absorber(SA)in passively Q-switched all-fiber pulsed lasers,integrated such that a 16.73-μm V_(2)ZnC-polyvinyl alcohol(PVA)thin film acts as SA in the *** and non-saturable absorptions were found to be 13.2%and 10.47%,while saturation optical intensity and modulation depth were 6.25 k W/cm^(2)and 12.43%,respectively,illustrating the optical *** superiority of MAX-PVA,fabricated in four distinct ratios,was demonstrated by the fact that it self-starts a giant pulsed laser at pump power as low as 22.5 mW and firmly accomplished 120.6 kHz repetition rate with a pulse width of 2.08μ*** is a fine SA for the use of pulsed-laser production using all-fiber laser due to fabrication simplicity and great optical,thermophysical,and mechanical qualities.

关键词： MAX Q-switched giant pulsed erbium-doped all-fiber laser with V_(2)ZnC MAX phase saturable absorber

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Optimizing the utilization of maize silage in forage blends-based rations to improve production performance and reduce methane emissions from fattening calves

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 75-81页

作者： Khalid Farooq Asad Sultan Assar Ali Shah Rifat Ullah Khan Rajwali Khan Ghazala Yasmeen Nazir ahmad Khan Faculty of Animal Husbandry and Veterinary Sciences The University of AgriculturePeshawar 25130Pakistan Pakistan Scientific and Technological Information Center(PASTIC) Islamabad 44000Pakistan

This research investigated the effect of various mixtures of maize silage and ryegrass fodder on nutrient digestibility,production performance,and methane(CH4)emission of fattening ***-four fattening calves((228±10)kg body weight(BW),(280±5)d of age)were allocated to 8 diets for 84 d,according to a randomized complete block design,and the blocks were balanced for BW,age,and *** diets consisted of 4 levels of maize silages,i.e.,40%(MS40),50%(MS50),60%(MS60),and 70%(MS70)in the maize silage and ryegrass fodder mixture on a dry matter(DM)basis,and each of the mixture was supplemented with either low(LC,1.0%BW)or high(HC,1.5%BW)levels of fattening *** results revealed greater(p<0.05)intakes of DM(8.35 kg/d),organic matter(OM,7.85 kg/d),and metabolizable energy(ME,12.00 Mcal/d)in calves fed with MS70-LC *** highest(p<0.05)digestibility(g/100 g)of DM(65.2),OM(67.3),crude protein(69.1),and neutral detergent fibre(56.3)was recorded for MS40-HC *** maximum(p<0.05)average daily gain(ADG,571 g/d)was recorded for diet *** lowest value(p<0.05)of CH4 emission was recorded in MS70-LC,MS70-HC,and MS60-HC as compared to other *** 70%maize silage in the ryegrass-maize silage based diet improved ADG by 174 g/d with LC *** is concluded that the optimum inclusion level of maize silage and ryegrass in the fattening ration can improve animal production performance and reduces CH4 production and concentrate requirements of fattening calves.

关键词： average daily gain farm-grown forages forage mixture fattening calves maize silage ryegrass fodder

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Distinct gut microbiomes in Thai patients with colorectal polyps

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World Journal of Gastroenterology 2024年第27期30卷 3336-3355页

作者： Thoranin Intarajak ahmad Nuruddin Khoiri Kanthida Kusonmano Weerayuth Kittichotirat Sawannee Sutheeworapong Supapon Cheevadhanarak Wandee Udomchaiprasertkul Chinae Thammarongtham Bioinformatics Unit Chulabhorn Royal AcademyLak Si 10210BangkokThailand Bioinformatics and Systems Biology Program School of Bioresources and Technologyand School of Information TechnologyKing Mongkut’s University of Technology ThonburiBang Khun Thian 10150BangkokThailand Bioinformatics and Systems Biology ProgramSchool of Bioresources and Technologyand School of Information TechnologyKing Mongkut’s University of Technology ThonburiBang Khun Thian 10150BangkokThailand Systems Biology and Bioinformatics Unit Pilot Plant Development and Training InstituteKing Mongkut’s University of Technology ThonburiBang Khun Thian 10150BangkokThailand Molecular Genomic Research Laboratory Chulabhorn Royal AcademyLak Si 10210BangkokThailand National Center for Genetic Engineering and Biotechnology King Mongkut's University of Technology ThonburiBang Khun Thian 10150BangkokThailand School of Bioresources and Technology King Mongkut’s University of Technology ThonburiBank Khun Thian 10150BangkokThailand Fungal Biotechnology Unit Pilot Plant Development and Training InstituteKing Mongkut’s University of Technology ThonburiBang Khun Thian 10150BangkokThailand

BACKGROUND Colorectal polyps that develop via the conventional adenoma-carcinoma sequence[e.g.,tubular adenoma(TA)]often progress to malignancy and are closely associated with changes in the composition of the gut *** is limited research concerning the microbial functions and gut microbiomes associated with colorectal polyps that arise through the serrated polyp pathway,such as hyperplastic polyps(HP).Exploration of microbiome alterations asso-ciated with HP and TA would improve the understanding of mechanisms by which specific microbes and their metabolic pathways contribute to colorectal *** To investigate gut microbiome signatures,microbial associations,and microbial functions in HP and TA *** Full-length 16S rRNA sequencing was used to characterize the gut microbiome in stool samples from control participants without polyps[control group(CT),n=40],patients with HP(n=52),and patients with TA(n=60).Significant differences in gut microbiome composition and functional mechanisms were identified between the CT group and patients with HP or *** techniques in this study included differential abundance analysis,co-occurrence network analysis,and differential pathway *** Colorectal cancer(CRC)-associated bacteria,including Streptococcus gallolyticus(***),Bacteroides fragilis,and Clostridium symbiosum,were identified as characteristic microbial species in TA *** gnavus,associated with dysbiosis and gastrointestinal diseases,was significantly differentially abundant in the HP and TA *** pathway analysis revealed that HP patients exhibited enrichment in the sulfur oxidation pathway exclusively,whereas TA patients showed dominance in pathways related to secondary metabolite biosynthesis(e.g.,mevalonate);*** was a major ***-occurrence network and dynamic network analyses revealed co-occurrence of dysbiosis-associated bacteria in HP patients,wh

关键词： Gut microbiome Colorectal adenoma Hyperplastic polyp Full-length 16s rRNA Microbial correlation networks Predicted functional mechanisms

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Design of a Lightweight Compressed Video Stream-Based Patient Activity Monitoring System

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Computers, Materials & Continua 2024年第1期78卷 1253-1274页

作者： Sangeeta Yadav Preeti Gulia Nasib Singh Gill Piyush Kumar Shukla Arfat ahmad Khan Sultan Alharby Ahmed Alhussen Mohd Anul Haq Department of Computer Science&Applications Maharshi Dayanand UniversityRohtak124001India University Institute of Technology Rajiv Gandhi Proudyogiki VishwavidyalayaBhopal462033India Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia

Inpatient falls from beds in hospitals are a common *** falls may result in severe *** problem can be addressed by continuous monitoring of patients using *** advancements in deep learning-based video analytics have made this task of fall detection more effective and *** with fall detection,monitoring of different activities of the patients is also of significant concern to assess the improvement in their *** computation-intensive models are required to monitor every action of the patient *** requirement limits the applicability of such ***,to keep the model lightweight,the already designed fall detection networks can be extended to monitor the general activities of the patients along with the fall *** by the same notion,we propose a novel,lightweight,and efficient patient activity monitoring system that broadly classifies the patients’activities into fall,activity,and rest classes based on their *** whole network comprises three sub-networks,namely a Convolutional Neural Networks(CNN)based video compression network,a Lightweight Pose Network(LPN)and a Residual Network(ResNet)Mixer block-based activity recognition *** compression network compresses the video streams using deep learning networks for efficient storage and retrieval;after that,LPN estimates human ***,the activity recognition network classifies the patients’activities based on their *** proposed system shows an overall accuracy of approx.99.7% over a standard dataset with 99.63% fall detection accuracy and efficiently monitors different events,which may help monitor the falls and improve the inpatients’health.

关键词： Fall detection activity recognition human pose estimation accuracy

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Effect of various aromatic compounds with different functional groups on enzymatic hydrolysis of microcrystalline cellulose and alkaline pretreated wheat straw

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Journal of Bioresources and Bioproducts 2024年第2期9卷 211-221页

作者： Yufeng Yuan Xinyu Guo Bo Jiang Wenjuan Wu Tingwei Zhang Michael Sweeney Mehraj ahmad Yongcan Jin Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources International Innovation Center for Forest Chemicals and MaterialsJiangsu Provincial Key Lab of Pulp and Paper Science and TechnologyNanjing Forestry UniversityNanjing 210037China School of Chemistry and Chemical Engineering Queen’s University BelfastBelfast BT71NNNorthern Ireland United Kingdom Department of Food Science and Engineering College of Light Industry and Food EngineeringNanjing Forestry UniversityNanjing 210037China

Low molecular aromatic compounds are detrimental to the enzymatic hydrolysis of ***,the specific role of their functional groups remains ***,a series of nine aromatic compounds as additives were tested to understand their effect on the hydrolysis yield of microcrystalline cellulose(MCC)and alkaline pretreated wheat *** on the results,the inhibition of aldehyde groups on MCC was greater than that of carboxyl groups,whereas for the alkaline pretreated wheat straw case,the inhibitory effect of aldehyde groups was lower than that of carboxyl *** methoxyl groups of aromatic compounds reduced the inhibitory ef-fect on enzymatic hydrolysis of both *** inhibition of aromatic compounds on MCC hydrolysis was detected in comparison with the alkaline pretreated wheat straw,indicating that the substrate lignin can offset the inhibition to a certain *** all aromatic com-pounds,syringaldehyde with one aldehyde group and two methoxyl groups improved the glucan conversion of the alkaline pretreated wheat straw.

关键词： Aromatic compound Functional group Enzymatic hydrolysis Alkaline pretreated wheat straw Microcrystalline cellulose

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AI-Based Helmet Violation Detection for Traffic Management System

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 733-749页

作者： Yahia Said YahyaAlassaf Refka Ghodhbani Yazan ahmad Alsariera Taoufik Saidani Olfa Ben Rhaiem Mohamad Khaled Makhdoum Manel Hleili Department of Electrical Engineering College of EngineeringNorthern Border UniversityArar91431Saudi Arabia Department of Civil Engineering College of EngineeringNorthern Border UniversityArar91431Saudi Arabia Faculty of Computing and Information Technology Northern Border UniversityRafha91911Saudi Arabia College of Science Northern Border UniversityArar91431Saudi Arabia Department of Mathematics Faculty of Sciences of TabukUniversity of TabukTabuk71491Saudi Arabia

Enhancing road safety globally is imperative,especially given the significant portion of traffic-related fatalities attributed to motorcycle accidents resulting from non-compliance with helmet *** the critical role of helmets in rider protection,this paper presents an innovative approach to helmet violation detection using deep learning *** primary innovation involves the adaptation of the PerspectiveNet architecture,transitioning from the original Res2Net to the more efficient EfficientNet v2 backbone,aimed at bolstering detection *** rigorous optimization techniques and extensive experimentation utilizing the India driving dataset(IDD)for training and validation,the system demonstrates exceptional performance,achieving an impressive detection accuracy of 95.2%,surpassing existing ***,the optimized PerspectiveNet model showcases reduced computational complexity,marking a significant stride in real-time helmet violation detection for enhanced traffic management and road safety measures.

关键词： Non-helmet use detection traffic violation safety deep learning optimized PerspectiveNet

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