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Testicular vascularization at two locations in relation to hormonal levels,and pixel echotexture in bulls at different ages

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Asian pacific Journal of Reproduction 2022年第4期11卷 193-200页

作者： Elshymaa A.Abdelnaby Ibrahim A.Emam Department of Theriogenology Faculty of Veterinary MedicineCairo UniversityEgypt Department of Surgery and RadiologyFaculty of Veterinary MedicineCairo UniversityGizaEgypt

Objective:To assess the hemodynamic changes that occurred in the main testicular artery at two different locations such as supra and marginal ones in bulls at three different ages.Methods:Eighteen Baladi bulls were divided according to their age into three different age groups:1 year[n=6;groupⅠwith bodyweight(380±10)kg],3 years[n=6;groupⅡwith bodyweight(570±10)kg],and 6 years old[n=6;groupⅢwith bodyweight(650±10)kg]Baladi bulls.Circumference of the scrotum,thickness of the mediastinum,testicular dimensions,vascularity,and hormonal levels were measured.Testicular hemodynamics were assessed by Doppler ultrasound scanning.Results:Testicular width,length,and volume were significantly different among the three age groups,with the highest in bulls of groupⅢ(P<0.05).The bulls in groupⅢhad significantly higher mediastinal line thickness and scrotal circumference than groupⅠ(P<0.05),but there was no significant difference between groupⅡand groupⅢ.Bulls in groupⅡshowed a decline in Doppler indices(resistance and pulsatility indexes)at both testicular branches compared to the other two groups(P<0.05).Supra and marginal end diastolic velocities in the three age groups were significantly different,with the highest in groupⅡ(P<0.05).Time average velocity(cm/s)was significantly elevated in groupⅡcompared to the other two groups(P<0.05).Both testicular echotextures were significantly decreased in groupⅡ(P<0.05).Estradiol and nitric oxide metabolites were significantly high in groupⅡcompared to the other two groups(P<0.05).Meanwhile,the level of plasma testosterone was maximum in groupⅢ(P<0.05).Positive correlations were found between supratesticular artery resistance and pulsatility indexes(r=0.81;P<0.001),while both resistance and pulsatility indexes had correlated negative with estradiol(r=-0.71 and r=-0.91;P<0.001),and nitric oxide metabolites(r=-0.92 and r=-0.72;P<0.001).Conclusions:Three-year old Baladi bull has the lesser Doppler indices with lesser echotexture and greater nitric oxide with estradiol concentrations,which d

关键词： Bull Doppler indices End diastolic velocity Estradiol Testicular blood flow Resistance index Pulsatility index

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Classifying rockburst with confidence:A novel conformal prediction approach

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International Journal of Mining Science and Technology 2024年第1期34卷 51-64页

作者： Bemah ibrahim Isaac Ahenkorah University of South Australia UniSA STEMSA 5000Australia

The scientific community recognizes the seriousness of rockbursts and the need for effective mitigation measures.The literature reports various successful applications of machine learning(ML)models for rockburst assessment;however,a significant question remains unanswered:How reliable are these models,and at what confidence level are classifications made?Typically,ML models output single rockburst grade even in the face of intricate and out-of-distribution samples,without any associated confidence value.Given the susceptibility of ML models to errors,it becomes imperative to quantify their uncertainty to prevent consequential failures.To address this issue,we propose a conformal prediction(CP)framework built on traditional ML models(extreme gradient boosting and random forest)to generate valid classifications of rockburst while producing a measure of confidence for its output.The proposed framework guarantees marginal coverage and,in most cases,conditional coverage on the test dataset.The CP was evaluated on a rockburst case in the Sanshandao Gold Mine in China,where it achieved high coverage and efficiency at applicable confidence levels.Significantly,the CP identified several“confident”classifications from the traditional ML model as unreliable,necessitating expert verification for informed decision-making.The proposed framework improves the reliability and accuracy of rockburst assessments,with the potential to bolster user confidence.

关键词： Rockburst Machine learning Uncertainty quantification Conformal prediction

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Outcome of percutaneous reconstruction of chronic lateral collateral ligament rupture

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Chinese Journal of Traumatology 2024年第1期27卷 58-62页

作者： Soliudeen Adebayo Arojuraye ibrahim Abolaji Alabi ibrahim Usman Mustapha Department of Orthopaedics National Orthopaedic Hospital Dala-KanoNigeria Department of Surgery Bayero University KanoNigeria

Purpose:Many techniques have been described for the reconstruction of chronic lateral collateral ligament(LCL)rupture with different autograft options.The advantages of percutaneous LCL reconstruction include small incisions,minimal soft tissue disruption,less postoperative pain,and speedy rehabilitation and recovery.The aim of this study was to report the functional outcome of percutaneous LCL reconstruction and overall patient satisfaction in Africans.Methods:This prospective and interventional study involving 51 patients with chronic LCL rupture who had percutaneous LCL reconstruction using peroneus longus autograft was conducted between January 2021 and December 2022 in National Orthopaedic Hospital,Dala-Kano,Nigeria.The inclusion criteria were patients between the ages of 18 and 45 years with chronic isolated LCL and not more than 1 injury of knee ligament.Exclusion criteria were active infection,and multi-ligament knee injury requiring 2-staged surgery.The knee functions were assessed preoperatively,3 months,6 months,and 12 months postoperatively using the Lysholm scoring system.Patient satisfaction with the outcome of the treatment was assessed using a 5-point Likert scale.Relevant information was recorded into Microsoft Excel sheet and data was analyzed using SPSS version 23.0 for windows.The paired samples t-test was used to compare the clinical outcomes as continuous variables.Statistical significance was considered at p<0.05.Results:The mean age of the patients was(30.10±5.90)years.The median time from injury to surgery was 7 months(ranging from 3 to 28 months).The mean follow-up period was(14.07±3.13)months.The mean preoperative and 1-year postoperative Lysholm scores were 44.33±12.97 and 97.96±1.23,respectively.Conclusion:Percutaneous LCL reconstruction using peroneus longus autograft significantly improves patient knee function and results in excellent patient satisfaction。

关键词： rupture ligament percutaneous

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New insights into astrocyte diversity from the lens of transcriptional regulation and their implications for neurodegenerative disease treatments

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Neural Regeneration Research 2024年第11期19卷 2335-2336页

作者： ibrahim Olabayode Saliu Guoyan Zhao Department of Genetics Washington University School of MedicineSt.LouisMOUSA Department of Neurology Department of Pathology and ImmunologyWashington University School of MedicineSt.LouisMOUSA

Astrocytes are a major glial cell type in the central nervous system,and they provide trophic and metabolic support to neurons.In addition to these roles,they play crucial roles in modulating synaptic functions,development,and pruning(Brandebura et al.,2023).Astrocytes become reactive(activated)by undergoing morphological,molecular,and functional alterations in response to neuropathology such as in injuries and neurodegenerative diseases(NDs)(Escartin et al.,2021).

关键词： degenerative injuries

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Enteric neuropathy in diabetes:Implications for gastrointestinal function

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World Journal of Gastroenterology 2024年第22期30卷 2852-2865页

作者： Mona Mohamed ibrahim Abdalla Department of Human Biology School of MedicineInternational Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia

Diabetes,commonly known for its metabolic effects,also critically affects the enteric nervous system(ENS),which is essential in regulating gastrointestinal(GI)motility,secretion,and absorption.The development of diabetes-induced enteric neuropathy can lead to various GI dysfunctions,such as gastroparesis and irregular bowel habits,primarily due to disruptions in the function of neuronal and glial cells within the ENS,as well as oxidative stress and inflammation.This editorial explores the pathophysiological mechanisms underlying the development of enteric neuropathy in diabetic patients.Additionally,it discusses the latest advances in diagnostic approaches,emphasizing the need for early detection and intervention to mitigate GI complications in diabetic individuals.The editorial also reviews current and emerging therapeutic strategies,focusing on pharmacological treatments,dietary management,and potential neuromodulatory interventions.Ultimately,this editorial highlights the necessity of a multidisciplinary approach in managing enteric neuropathy in diabetes,aiming to enhance patient quality of life and address a frequently overlooked complication of this widespread disease.

关键词： Diabetic neuropathy Gastrointestinal Insulin resistance Diabetes Enteric nervous system Enteric neuropathy

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Multiple thoracic and abdominal foregut duplication cysts:A case report

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World Journal of Clinical Cases 2024年第8期12卷 1504-1509页

作者： Tuqa Adil Alsinan Tariq ibrahim Altokhais Department of Pediatric Surgery Prince Sultan Military Medical CityRiyadh 12233Saudi Arabia Devision of Pediatric Surgery Department of SurgeryCollege of MedicineKing Saud UniversityRiyadh 4545Saudi Arabia

BACKGROUND Congenital enteric duplication cysts are tubular or cystic structures that normally lie alongside the gastrointestinal(GI)tract.Enteric duplication cysts are typically solitary lesions that occur anywhere near the GI tract from the neck to the rectum,but having multiple duplication cysts is rare,and presentation within the pancreas is extremely rare.CASE SUMMARY We herein demonstrate a case of esophageal,gastric,and gastric-type duplication cyst of the pancreas in a seventeen-month-old girl who presented with failure to thrive,abdominal pain,vomiting,hematemesis,and melena since the age of three months.The cysts were excised by thoracoscopy and laparoscopy in the same setting.To our knowledge,no such case has been published.CONCLUSION Enteric duplications can occur throughout the entire alimentary tract.When they occur in the pancreas,they present a formidable challenge in both diagnosis and treatment.Due to the risk of complications and malignant transformation,surgical removal is the recommended treatment of all duplication cysts.

关键词： Congenital Duplication cyst Foregut duplication Gastric duplication Pancreas Case report

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Relational Turkish Text Classification Using Distant Supervised Entities and Relations

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Computers, Materials & Continua 2024年第5期79卷 2209-2228页

作者： Halil ibrahim Okur Kadir Tohma Ahmet Sertbas Department of Computer Engineering Faculty of Engineering and Natural SciencesIskenderun Technical UniversityHatay31200Turkey Department of Computer Engineering Faculty of EngineeringIstanbul University-CerrahpasaIstanbul34310Turkey

Text classification,by automatically categorizing texts,is one of the foundational elements of natural language processing applications.This study investigates how text classification performance can be improved through the integration of entity-relation information obtained from the Wikidata(Wikipedia database)database and BERTbased pre-trained Named Entity Recognition(NER)models.Focusing on a significant challenge in the field of natural language processing(NLP),the research evaluates the potential of using entity and relational information to extract deeper meaning from texts.The adopted methodology encompasses a comprehensive approach that includes text preprocessing,entity detection,and the integration of relational information.Experiments conducted on text datasets in both Turkish and English assess the performance of various classification algorithms,such as Support Vector Machine,Logistic Regression,Deep Neural Network,and Convolutional Neural Network.The results indicate that the integration of entity-relation information can significantly enhance algorithmperformance in text classification tasks and offer new perspectives for information extraction and semantic analysis in NLP applications.Contributions of this work include the utilization of distant supervised entity-relation information in Turkish text classification,the development of a Turkish relational text classification approach,and the creation of a relational database.By demonstrating potential performance improvements through the integration of distant supervised entity-relation information into Turkish text classification,this research aims to support the effectiveness of text-based artificial intelligence(AI)tools.Additionally,it makes significant contributions to the development ofmultilingual text classification systems by adding deeper meaning to text content,thereby providing a valuable addition to current NLP studies and setting an important reference point for future research.

关键词： Text classification relation extraction NER distant supervision deep learning machine learning

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Image Splicing Forgery Detection Using Feature-Based of Sonine Functions and Deep Features

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Computers, Materials & Continua 2024年第1期78卷 795-810页

作者： Ala’a R.Al-Shamasneh Rabha W.ibrahim Department of Computer Science College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Science and Mathematics Lebanese American UniversityBeirut11022801Lebanon Department of Mathematics Mathematics Research CenterNear East UniversityNicosia99138Turkey Information and Communication Technology Research Group Scientific Research CenterAlayen UniversityDhi Qar64001Iraq

The growing prevalence of fake images on the Internet and social media makes image integrity verification a crucial research topic.One of the most popular methods for manipulating digital images is image splicing,which involves copying a specific area from one image and pasting it into another.Attempts were made to mitigate the effects of image splicing,which continues to be a significant research challenge.This study proposes a new splicing detectionmodel,combining Sonine functions-derived convex-based features and deep features.Two stages make up the proposed method.The first step entails feature extraction,then classification using the“support vector machine”(SVM)to differentiate authentic and spliced images.The proposed Sonine functions-based feature extraction model reveals the spliced texture details by extracting some clues about the probability of image pixels.The proposed model achieved an accuracy of 98.93% when tested with the CASIA V2.0 dataset“Chinese Academy of Sciences,Institute of Automation”which is a publicly available dataset for forgery classification.The experimental results show that,for image splicing forgery detection,the proposed Sonine functions-derived convex-based features and deep features outperform state-of-the-art techniques in terms of accuracy,precision,and recall.Overall,the obtained detection accuracy attests to the benefit of using the Sonine functions alongside deep feature representations.Finding the regions or locations where image tampering has taken place is limited by the study.Future research will need to look into advanced image analysis techniques that can offer a higher degree of accuracy in identifying and localizing tampering regions.

关键词： Image forgery image splicing deep learning Sonine functions

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Consecutive narrow and broad quasi-periodic fast-propagating wave trains associated with a flare

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Science China(Physics,Mechanics & Astronomy) 2024年第5期67卷 200-211页

作者： Xinping Zhou Yuandeng Shen Chengrui Zhou Zehao Tang Ahmed Ahmed ibrahim College of Physics and Electronic Engineering Sichuan Normal UniversityChengdu 610068China State Key Laboratory of Space Weather Chinese Academy of SciencesBeijing 100190China Yunnan Observatories Chinese Academy of SciencesKunming 650216China Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia

The excitation mechanism of coronal quasi-period fast-propagating(QFP)wave trains remains unresolved.Using Atmospheric Imaging Assembly onboard the Solar Dynamics Observatory observations,we study a narrow and a broad QFP wave trains excited one after another during the successive eruptions of filaments hosted within a fan-spine magnetic system on October 20,2013.The consecutive occurrence of these two types of QFP wave trains in the same event provides an excellent opportunity to explore their excitation mechanisms and compare their physical parameters.Our observational results reveal that narrow and broad QFP wave trains exhibit distinct speeds,periods,energy fluxes,and relative intensity amplitudes,although originating from the same active region and being associated with the same GOES C2.9 flare.Using wavelet analysis,we find that the narrow QFP wave train shares a similar period with the flare itself,suggesting its possible excitation through the pulsed energy release in the magnetic reconnection process that generated the accompanying flare.On the other hand,the broad QFP wave train appears to be associated with the energy pulses released by the successive expansion and unwinding of filament threads.Additionally,it is plausible that the broad QFP wave train was also excited by the sequential stretching of closed magnetic field lines driven by the erupting filament.These findings shed light on the different excitation mechanisms and origins of the QFP wave trains.

关键词： narrow wave excitation

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An Adaptive Hate Speech Detection Approach Using Neutrosophic Neural Networks for Social Media Forensics

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Computers, Materials & Continua 2024年第4期79卷 243-262页

作者： Yasmine M.ibrahim Reem Essameldin Saad M.Darwish Department of Information Technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandria21526Egypt Faculty of Computers and Information Technology Egyptian E-Learning University(EELU)Giza12611Egypt Faculty of Computers and Data Science Alexandria UniversityAlexandria21554Egypt

Detecting hate speech automatically in social media forensics has emerged as a highly challenging task due tothe complex nature of language used in such platforms. Currently, several methods exist for classifying hatespeech, but they still suffer from ambiguity when differentiating between hateful and offensive content and theyalso lack accuracy. The work suggested in this paper uses a combination of the Whale Optimization Algorithm(WOA) and Particle Swarm Optimization (PSO) to adjust the weights of two Multi-Layer Perceptron (MLPs)for neutrosophic sets classification. During the training process of the MLP, the WOA is employed to exploreand determine the optimal set of weights. The PSO algorithm adjusts the weights to optimize the performanceof the MLP as fine-tuning. Additionally, in this approach, two separate MLP models are employed. One MLPis dedicated to predicting degrees of truth membership, while the other MLP focuses on predicting degrees offalse membership. The difference between these memberships quantifies uncertainty, indicating the degree ofindeterminacy in predictions. The experimental results indicate the superior performance of our model comparedto previous work when evaluated on the Davidson dataset.

关键词： Hate speech detection whale optimization neutrosophic sets social media forensics

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