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Diet and feeding behavior of a group of high-altitude rhesus macaques: high adaptation to food shortages and seasonal fluctuations

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Current Zoology 2023年第3期69卷 304-314页

作者： Kechu Zhang fazal Karim Zuxiang Jin Hongtao Xiao Yongfang Yao Qingyong Ni Bajin Li Wangjia Pu-Cuo Zhonghao Huang Huailiang Xu College of Life Science Sichuan Agricultural UniversityNo.46 Xinkang RoadYucheng DistrictYa'anSichuan 625014China Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection(Guangxi Normal University) Ministry of EducationNo.1Yanzhong RoadYanshan DistrictGuilingGuangxi 541006China College of Animal Science and Technology Sichuan Agricultural UniversityNo.211 Huimin RoadWenjiang DistrictChengduSichuan 611130China Gexigou National Nature Reserve Administration Yajiang Forestry and Grassland AdministrationNo.88 Jiefang RoadYajiang CountyGanziSichuan 627450China

Diet and feeding behavior data are crucial to a deep understanding of the behavioral response and adaptation of primates to a high-altitude *** August 2019 to June 2021,we collected data on the feeding behavior of a high-altitude rhesus macaque Macaca mulatta group from Yajiang County,Western Sichuan Plateau,which has an altitude of over 3,500 *** results showed that feeding(33.0±1.8%)and moving(28.3±2.6%)were the dominant behavior of rhesus *** ate 193 food items,comprising 11 food categories from 90 *** study found that plant roots(30.9±30.1%)and young leaves(28.0±33.1%)were the main foods eaten by *** preferred foods of rhesus macaques were young leaves,fruits,and seeds,and the consumption of these items was positively correlated with its food *** the availability of preferred foods was low,macaques took plant roots,barks,and fallen leaves as fallback *** particular,roots were a dominant food item in winter,and this way of feeding became a key survival *** results suggest that,facing the relative scarcity and strong seasonal fluctuations of food resources in high-altitude habitat,macaques adopt active foraging strategies,relying on a variety of food species and adjusting flexibly their food choices based on food availability,which may help to maximize the energy efficiency of high-altitude macaques.

关键词： diet foraging strategy fallback food high-altitude habitat Macaca mulatta

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Epidemiology of hepatitis B virus in Bangladeshi general population

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Hepatobiliary & Pancreatic Diseases International 2008年第6期7卷 595-600页

作者： Mamun-Al Mahtab Salimur Rahman Md.fazal Karim Mobin Khan Graham Foster Susannah Solaiman Shahrin Afroz Department of Hepatology Bangabandhu Sheikh Mujib Medical University Digestive Diseases Research Centre Bart's and the London Queen Mary's School of Medicine and Dentistry Department of Gastroenterology Bangabandhu Sheikh Mujib Medical University

BACKGROUND:Hepatitis B virus(HBV)is encountered sporadically the year round in *** results in a wide range of liver diseases,with asymptomatic acute hepatitis at one end to hepatocellular carcinoma(HCC)at the other end of the spectrum. METHODS:All 1018 individuals of different age groups and sex with varied religious,educational and social backgrounds were tested for HBsAg by *** positive samples were further tested by ELISA for *** testing,blood samples were preserved at-20℃.The study was conducted in a semi-urban location on the outskirts of Dhaka. RESULTS:Of the 1018 individuals,5.5%tested positive for *** were tested positive for *** the HBsAg-positive population,58.93%were HBeAg- positive and the rest 41.07%*** was a male predominance and those who were tested positive were mostly between 16 and 50 years of *** risk factors for exposure to HBV appeared to be injudicious use of injectable medications,treatment by unqualified, traditional practitioners,mass-vaccination against cholera and smallpox,barbers and body piercing. CONCLUSION:HBV remains a major cause of morbidity and mortality in Bangladesh and we have a long way to go before we may bid farewell to this deadly menace.

关键词： hepatitis B virus prevalence general population Banglandesh

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Dataset of Large Gathering Images for Person Identification and Tracking

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Computers, Materials & Continua 2023年第3期74卷 6065-6080页

作者： Adnan Nadeem Amir Mehmood Kashif Rizwan Muhammad Ashraf Nauman Qadeer Ali Alzahrani Qammer H.Abbasi fazal Noor Majed Alhaisoni Nadeem Mahmood Faculty of Computer and Information System Islamic University of MadinahMadinah42351Saudi Arabia Department of Computer Science and Information Technology Sir Syed University of Engineering and TechnologyKarachi75300Pakistan Department of Computer Science Federal Urdu University of ArtsScience&TechnologyIslamabad45570Pakistan Department of Physics Federal Urdu University of ArtsScience&TechnologyKarachi75300Pakistan James Watt School of Engineering University of GlasgowGlasgowG128QQUK Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science University of KarachiKarachi75270Pakistan

This paper presents a large gathering dataset of images extracted from publicly filmed videos by 24 cameras installed on the premises of Masjid Al-Nabvi,Madinah,Saudi *** dataset consists of raw and processed images reflecting a highly challenging and unconstraint *** methodology for building the dataset consists of four core phases;that include acquisition of videos,extraction of frames,localization of face regions,and cropping and resizing of detected face *** raw images in the dataset consist of a total of 4613 frames obtained fromvideo *** processed images in the dataset consist of the face regions of 250 persons extracted from raw data images to ensure the authenticity of the presented *** dataset further consists of 8 images corresponding to each of the 250 subjects(persons)for a total of 2000 *** portrays a highly unconstrained and challenging environment with human faces of varying sizes and pixel quality(resolution).Since the face regions in video sequences are severely degraded due to various unavoidable factors,it can be used as a benchmark to test and evaluate face detection and recognition algorithms for research *** have also gathered and displayed records of the presence of subjects who appear in presented frames;in a temporal *** can also be used as a temporal benchmark for tracking,finding persons,activity monitoring,and crowd counting in large crowd scenarios.

关键词： Large crowd gatherings a dataset of large crowd images highly uncontrolled environment tracking missing persons face recognition activity monitoring

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Biology and distribution of butterfly fauna of Hazara University, Garden Campus, Mansehra, Pakistan

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Open Journal of Animal Sciences 2013年第2期3卷 28-36页

作者： Farzana Perveen Fatima fazal Department of Zoology Shaheed Benazir Bhutto University (SBBU) Main Campus Sheringal Pakistan

The butterflies are beautiful creature of nature with great economic importance as pollinator as well as bio-indicator of environments. The present survey was conducted to determine the biology and distribution of butterfly fauna of Hazara University, Garden Campus, Mansehra, Pakistan during March-June 2012. The study area was divided into 3 quadrates, i.e., residential area, administration area and main campus. A total of 170 specimens were collected, 10 species were identified belonging to 3 different families and falling in 8 genera. The species were identified. The painted lady, Cynthia cardui (Linnaeus);blue pansy, Junonia orithya Linnaeus;and plain tiger, Danaus chrysippus (Linnaeus) were belonging to family Nymphalidae. The lime butterfly, Papilio demoleus Linnaeus and com-mon mormon, P. polytes Linnaeus were belonging to family Papilionidae. The dark clouded yellow, Colias croceus (Geoffroy);common grass yellow, Eumera hecab (Linnaeus);Murree green-veined white, Pieris ajaka Moore;green-veined white, P. napi (Linnaeus) and Bath white, Pontia daplidice (Linnaeus) were belonging to family Pieridae. The body sizes of E. hecabe and J. orithya were minimum, i.e., 1.4 cm (n = 4 - 13), however, D. chrysippus was maximum, i.e., 2.5 cm (n = 1). The wingspan of E. hecabe was minimum, i.e., 3.7 cm (n = 4), however, P. polytes was maximum, i.e., 7.5 cm (n = 1). Proper preventive measures should be taken into consideration in order to minimize the natural habitat loss, as butterfly fauna is dependent upon proper environmental conditions.

关键词： Biology Butterfly Distribution Hazara University Nymphalidae Papilionidae Pieridae

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Morpholine hydrazone scaffold： Synthesis, anticancer activity and docking studies

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Chinese Chemical Letters 2017年第3期28卷 607-611页

作者： Muhammad Taha Syed Adnan Ali Shah Muhammad Afifi Manar Zulkeflee Sadia Sultan Abdul Wadood fazal Rahim Nor Hadiani Ismail Atta-ur-Rahman Institute for Natural Product Discovery (AuRlns) Universiti Teknologi MARA Puncak Alam Campus 42300 Bandar Puncak Alam SelangorD. E. Malaysia Faculty of Applied Science UiTM Shah Alam 40450 Shah Alam Selangor D.E. Malaysia Faculty of Pharrnacy Universiti Teknologi MARA Puncat~ Alam Campus 42300 Baadar Puncak Alam Selangor D.E. Malaysia Department of Biochemistry Abdul Wali Khan University Mardan 23200 Pakistan Department of Chemistry Hazara University Mansehra 21300 Pakistan

In this paper, synthesis and anticancer activities of morpholine hydrazones scaffold（1-17） thoroughly studied. Small series of morpholine hydrazones synthesized by treating 5-morpholinothiophene-2-carbaldehyde with different aryl hydrazides to form morpholine hydrazones scaffold（1-17）. The in vitro anticancer potential of all these compounds was checked against human cancer cell lines like Hep G2（human hepatocellular liver carcinoma） and MCF-7（human breast adenocarcinoma）. Analogs 13 had similar substantial cytotoxic effects towards Hep G2 with IC_（50） value 6.31±1.03μmmol/L when compared with the standard Doxorubicin（IC_（50）value 6.00±0.80μmmol/L）; while compounds 5,8 and 9 showed potent cytotoxicity against MCF-7 with IC_（50） value 7.08±0.42μmmol/L, 1.26±0.34μmmol/L and11.22±0.22μmmol/L respectively when compared with the standard Tamoxifen（IC_（50）= 11.00±0.40μmol/L）. Molecular docking studies also performed to understand the binding interaction.

关键词： Morpholine hydrazones Synthesis HepG2 MCF-7 Molecular docking

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Fault Tolerant Suffix Trees

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Computers, Materials & Continua 2021年第1期66卷 157-164页

作者： Iftikhar Ahmad Syed Zulfiqar Ali Shah Ambreen Shahnaz Sadeeq Jan Salma Noor Wajeeha Khalil fazal Qudus Khan Muhammad Iftikhar Khan Department of Computer Science and Information Technology University of Engineering and TechnologyPeshawar25120Pakistan Department of Computer Science Shaheed Benazir Bhutto Women UniversityPeshawar25000Pakistan Department of Information Technology FCITKing Abdulaziz UniversityJeddahSaudi Arabia Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan

Classical algorithms and data structures assume that the underlying memory is reliable,and the data remain safe during or after ***,the assumption is perilous as several studies have shown that large and inexpensive memories are vulnerable to bit ***,the correctness of output of a classical algorithm can be threatened by a few memory *** tolerant data structures and resilient algorithms are developed to tolerate a limited number of faults and provide a correct output based on the uncorrupted part of the *** tree is one of the important data structures that has widespread applications including substring search,super string problem and data *** fault tolerant version of the suffix tree presented in the literature uses complex techniques of encodable and decodable error-correcting codes,blocked data structures and fault-resistant *** this work,we use the natural approach of data replication to develop a fault tolerant suffix tree based on the faulty memory random access machine *** proposed data structure stores copies of the indices to sustain memory faults injected by an *** develop a resilient version of the Ukkonen’s algorithm for constructing the fault tolerant suffix tree and derive an upper bound on the number of corrupt suffixes.

关键词： Resilient data structures fault tolerant data structures suffix tree

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Automatic Detection of Outliers in Multi-Channel EMG Signals Using MFCC and SVM

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Intelligent Automation & Soft Computing 2023年第4期36卷 169-181页

作者： Muhammad Irfan Khalil Ullah fazal Muhammad Salman Khan Faisal Althobiani Muhammad Usman Mohammed Alshareef Shadi Alghaffari Saifur Rahman Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Software Engineering University of MalakandDir LowerPakistan Department of Electrical Engineering University of Engineering and TechnologyMardan23200Pakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science University of Engineering and TechnologyMardan23200Pakistan

The automatic detection of noisy channels in surface Electromyogram(sEMG)signals,at the time of recording,is very critical in making a noise-free EMG *** an EMG signal contaminated by high-level noise is recorded,then it will be useless and can’t be used for any healthcare *** this research work,a new machine learning-based paradigm is proposed to automate the detection of low-level and high-level noises occurring in different channels of high density and multi-channel sEMG signals.A modiﬁed version of mel fre-quency cepstral coefﬁcients(mMFCC)is proposed for the extraction of features from sEMG channels along with other statistical parameters i-e complexity coef-ﬁcient,hurst exponent,and root mean *** state-of-the-art classiﬁers such as Support Vector Machine(SVM),Ensemble Bagged Trees,Ensemble Sub-space Discriminant,and Logistic Regression are used to automatically identify an EMG channel either bad or good based on these extracted ***-based analyses of these classiﬁers have also been considered based on total classi-ﬁcation accuracy,prediction speed(observations/sec),and processing *** proposed method is tested on 320 simulated EMG channels as well as 640 experi-mental EMG *** is used as our main classiﬁer for the detection of noisy channels which gives a total classiﬁcation accuracy of 99.4%for simulated EMG channels whereas accuracy of 98.9%is achieved for experimental EMG channels.

关键词： Machine learning surface electromyography support vector machine classiﬁcation features

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Dubin-Johnson syndrome with systemic lupus erythematosus: a case report

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Hepatobiliary & Pancreatic Diseases International 2006年第4期5卷 617-619页

作者： Mamun-Al Mahtab Md. fazal Karim Salimur Rahman Abul Barkat Muhammad Adnan Department of Hepatology Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh

BACKGROUND: Dubin-Johnson syndrome (DJS) is a rare clinical entity. We describe a case of DJS complicated by systemic lupus erythematosus (SLE). METHODS: A case of congenital hyperbilirubinemia with SLE was evaluated systematically including review of history, physical examination for the stigmata of chronic liver disease, and other investigations. RESULT: Liver biopsy revealed a black liver with preserved architecture suggestive of DJS. CONCLUSIONS: SLE may develop in DJS. The relationship between DJS and SLE in this case is most likely a chance occurrence.

关键词： Dubin-Johnson syndrome systemic lupus erythematosus conjugated hyperbilirubinemia autoimmune disorder chance occurrence

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Liver Ailment Prediction Using Random Forest Model

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Computers, Materials & Continua 2023年第1期74卷 1049-1067页

作者： fazal Muhammad Bilal Khan Rashid Naseem Abdullah A Asiri Hassan A Alshamrani Khalaf A Alshamrani Samar M Alqhtani Muhammad Irfan Khlood M Mehdar Hanan Talal Halawani Department of Electrical Engineering University of Engineering and TechnologyMardan23200Pakistan City University of Science and Information Technology PeshawarPakistan Department of IT and Computer Science Pak-Austria Fachhochschule Institute of Applied Sciences and TechnologyHaripurPakistan Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajranSaudi Arabia Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Anatomy Department Medicine CollegeNajran UniversityNajranSaudi Arabia Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajranSaudi Arabia

Today,liver disease,or any deterioration in one’s ability to survive,is extremely common all around the *** research has indicated that liver disease is more frequent in younger people than in older *** the liver’s capability begins to deteriorate,life can be shortened to one or two days,and early prediction of such diseases is *** several machine learning(ML)approaches,researchers analyzed a variety of models for predicting liver disorders in their early *** a result,this research looks at using the Random Forest(RF)classifier to diagnose the liver disease early *** dataset was picked from the University of California,Irvine ***’s accomplishments are contrasted to those of Multi-Layer Perceptron(MLP),Average One Dependency Estimator(A1DE),Support Vector Machine(SVM),Credal Decision Tree(CDT),Composite Hypercube on Iterated Random Projection(CHIRP),K-nearest neighbor(KNN),Naïve Bayes(NB),J48-Decision Tree(J48),and Forest by Penalizing Attributes(Forest-PA).Some of the assessment measures used to evaluate each classifier include Root Relative Squared Error(RRSE),Root Mean Squared Error(RMSE),accuracy,recall,precision,specificity,Matthew’s Correlation Coefficient(MCC),F-measure,and *** has an RRSE performance of 87.6766 and an RMSE performance of 0.4328,however,its percentage accuracy is *** widely acknowledged result of this work can be used as a starting point for subsequent *** a result,every claim that a new model,framework,or method enhances forecastingmay be benchmarked and demonstrated.

关键词： Liver ailment random forest machine learning

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Impairments Approximations in Assembled mmWave and Radio Over Fiber Network

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Computers, Materials & Continua 2022年第12期73卷 4885-4895页

作者： Muhammad Irfan Farman Ali fazal Muhammad Saifur Rahman Ammar Armghan Yousaf Khan Faisal Althobiani Rehan Shafiq Mohammed Alshareef Mohammad E.Gommosani Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Electrical Engineering Qurtuba University of Science and ITDera Ismail Khan29050Pakistan Department of Electrical Engineering University of Engineering TechnologyMardan23200Pakistan Department of Electrical Engineering College of EngineeringJouf UniversitySakakaSaudi Arabia Faulty of Electrical Engineering University of Engineering and TechnologyPeshawarPakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical Engineering Sarhad University of Science and Information TechnologyPeshawar25220Khyber PukhtunkhwaPakistan Ports&Maritime Transportation Faculty of Maritime Studies King Abdulaziz University JeddahSaudi Arabia Nautical Science Department Faculty of Maritime StudiesKing Abdulaziz UniversityJeddahSaudi Arabia

The fiber nonlinearity and phase noise(PN)are the focused impairments in the optical communication system,induced by high-capacity transmission and high laser input *** channels include high-capacity transmissions that cannot be achieved at the end side without aliasing because of fiber nonlinearity and PN ***,addressing of these distortions is the basic objective for the 5G mobile *** this paper,the fiber nonlinearity and PN are investigated using the assembled methodology of millimeter-wave and radio over fiber(mmWave-RoF).The analytical model is designed in terms of outage probability for the proposed mmWave-RoF *** performance of mmWave-RoF against fiber nonlinearity and PN is studied for input power,output power and length using peak to average power ratio(PAPR)and bit error rate(BER)measuring *** simulation outcomes present that the impacts of fiber nonlinearity and PNcan be balanced for a huge capacity mmWave-RoF model applying input power carefully.

关键词： Fiber nonlinearity phase noise radio over fiber network advanced modulation system

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