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Transcriptome analysis reveals immune-related genes in tissues of Vibrio anguillarum-infected turbot Scophthalmus maximus

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Journal of Oceanology and Limnology 2024年第1期42卷 332-344页

作者： Yuting SONG maqsood Ahmed SOOMRO Xianzhi DONG Guobin HU College of Marine Life Sciences Ocean University of ChinaQingdao 266003China Institute of Evolution&Marine Biodiversity Ocean University of ChinaQingdao 266003China Institute of Biophysis Chinese Academy of SciencesBeijing 100101China

Turbot Scophthalmus maximus is an important mariculture fish species with high economic ***,the bacterial diseases caused by Vibrio anguillarum infection bring huge economic losses to the turbot aquaculture *** understand the immune response of the turbot against *** infection and to explore novel immune-related genes,the transcriptome analysis of turbot spleen and gills were conducted after *** *** expressed genes(DEGs)were identified in spleen and gill of the turbot amounted to 17261 and 16436,respectively.A large number of immunerelated DEGs were enriched in cytokine-cytokine receptor interaction signaling pathway,and the others by the kyoto encyclopedia of genes and genomes(KEGG)*** gene ontology(GO)classification analysis revealed that *** infection had the greatest effect on biological processes and cellular *** immune-related DEGs were identified in the spleen(cstl.1,egfl6,lamb21,v2rx4,calcr,and gpr78a)and gills(ghra,sh3gl2a,cst12,inhbaa,cxcl8,and il-1b)by heat *** proteinprotein interaction(PPI)networks were constructed to analyze the immune *** results demonstrate that the maturation and antigen processing of major histocompatibility complex(MHC)class II molecule,and calcitonin-or adrenomedullin-regulated physiological activity were important events in the immunity of turbot against *** *** the gills,the protein interactions in TGF-βsignaling pathway,production of inflammatory factors,and endocytosis regulation were most *** research laid a foundation for discovering novel immune-related genes and enriching the knowledge of immune mechanisms of turbot against *** infection.

关键词： Scophthalmus maximus Vibrio anguillarum transcriptome differentially expressed genes immune mechanism

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用接收函数方法研究巴基斯坦Moho面深度和Vp/Vs ratio（英文）

用接收函数方法研究巴基斯坦Moho面深度和Vp/Vs ratio（英文）

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2016中国地球科学联合学术年会

作者： maqsood rizwan 危自根陈凌 State Key Laboratory of Lithospheric Evolution Institute of Geology and GeophysicsChinese Academy of Sciences State Key Laboratory of Geodesy and Eartha€?s Dynamics Institute of Geodesy and GeophysicsChinese Academy of Sciences CAS Center for Excellence in Tibetan Plateau Earth Sciences

＜正＞The crustal structure beneath Pakistan is poorly known despite its importance as housing triple plate junction in the south to Indian-Eurasian collision and its resulting role in the growth of the Tibetan *** seismic studies about the crustal structure in the Pakistan were mainly from several seisimic stations

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Tribological properties of Al-GNP composites at elevated temperature

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Friction 2024年第5期12卷 1028-1041页

作者： Sunil POUDEL rizwan BAJWA Yongde XIA Zakir KHAN Yi ZHANG Yanqiu ZHU College of Engineering Mathematics and Physical SciencesUniversity of ExeterExeterEX44QFUK European Technical Centre Daido Metal Co.Ltd.Iliminster SomersetTA199PHUK

Lighter and more powerful next generation vehicles and other rotary machinery demand bearings to operate in harsher conditions for higher efficiency,and the continuous development of advanced low-wear and friction materials is thus becoming even more important to meet these *** aluminium composites reinforced with high performance lubricate phases such as graphene nanoplatelets(GNPs)are very promising and have been vigorously *** maintaining a low coefficient of friction(COF)and offering great strength against wear due to their self-lubricating capability,the solid lubricant like GNPs protect the bearing surface from wear damage and prevent change in metallurgical properties during temperature *** paper first studies the high-temperature tribological performance of aluminium matrix composites reinforced with GNP,consolidated via powder metallurgy,then elucidates their tribological *** report that the best tribological performance is achieved by the composite containing 2.0 wt%GNP,with an extraordinarily low COF of 0.09 and a specific wear rate of 3.5×10^(−2)mm^(3)·N^(−1)·m^(−1),which represent 75%and 40%reduction respectively,against the plain aluminium consolidated under identical *** in-track and out-of-track Raman analysis have confirmed the role of GNPs in creating a tribofilm on the counterpart surface which contributed to the excellent performance.

关键词： nanocomposite graphene nanoplatelet(GNP) tribology powder metallurgy

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Model Agnostic Meta-Learning(MAML)-Based Ensemble Model for Accurate Detection of Wheat Diseases Using Vision Transformer and Graph Neural Networks

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Computers, Materials & Continua 2024年第5期79卷 2795-2811页

作者： Yasir maqsood Syed Muhammad Usman Musaed Alhussein Khursheed Aurangzeb Shehzad Khalid Muhammad Zubair Department of Creative Technologies Faculty of Computing and Artificial IntelligenceAir UniversityIslamabad44000Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Department of Computer Engineering Bahria School of Engineering and Applied SciencesBahria UniversityIslamabad44000Pakistan Laboratory for Neuro&Psychophysiology KU LeuvenLeuven3000Belgium

Wheat is a critical crop,extensively consumed worldwide,and its production enhancement is essential to meet escalating *** presence of diseases like stem rust,leaf rust,yellow rust,and tan spot significantly diminishes wheat yield,making the early and precise identification of these diseases vital for effective disease *** advancements in deep learning algorithms,researchers have proposed many methods for the automated detection of disease pathogens;however,accurately detectingmultiple disease pathogens simultaneously remains a *** challenge arises due to the scarcity of RGB images for multiple diseases,class imbalance in existing public datasets,and the difficulty in extracting features that discriminate between multiple classes of disease *** this research,a novel method is proposed based on Transfer Generative Adversarial Networks for augmenting existing data,thereby overcoming the problems of class imbalance and data *** study proposes a customized architecture of Vision Transformers(ViT),where the feature vector is obtained by concatenating features extracted from the custom ViT and Graph Neural *** paper also proposes a Model AgnosticMeta Learning(MAML)based ensemble classifier for accurate *** proposedmodel,validated on public datasets for wheat disease pathogen classification,achieved a test accuracy of 99.20%and an F1-score of 97.95%.Compared with existing state-of-the-art methods,this proposed model outperforms in terms of accuracy,F1-score,and the number of disease pathogens *** future,more diseases can be included for detection along with some other modalities like pests and weed.

关键词： Wheat disease detection deep learning vision transformer graph neural network model agnostic meta learning

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New therapy for metabolic syndrome:Gut microbiome supplementation

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World Journal of Diabetes 2024年第9期15卷 1833-1836页

作者： Waseem Qureshi maqsood Ahmad Dar Mohd Younis Rather Hospital Administration Government Medical CollegeUniversity of KashmirJammu and KashmirSrinagar 190010India Department of Medicine Government Medical CollegeUniversity of KashmirJammu and KashmirSrinagar 190010India Multidisciplinary Research Unit Government Medical CollegeUniversity of KashmirJammu and KashmirSrinagar 190010India

The gut microbiota is important in the development and progression of metabolic illnesses such type 2 diabetes,cardiovascular disease(CVD),and *** diverse community of microorganisms controls a variety of physiological functions,including metabolism,inflammation,and immune *** these interactions has resulted in novel therapeutic options,including microbiome *** gut microbiome is extremely susceptible to dietary changes,which can alter its makeup and function,influencing metabolite synthesis that affects host *** metabolites,such as butyrate and propionate,have been proven to protect against metabolic illnesses,whereas trimethylamine has been linked to ***,probiotics,synbiotics,and postbiotics are being investigated by researchers as ways to change the gut microbiome and boost metabolic *** advances in therapy and lifestyle adjustments,the prevalence of metabolic syndrome is increasing,emphasizing the need for new medicines.

关键词： Probiotics Prebiotics Synbiotics Postbiotics Microbiome Type 2 diabetes mellitus Cardiovascular disease Obesity

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Adaptation of Federated Explainable Artificial Intelligence for Efficient and Secure E-Healthcare Systems

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Computers, Materials & Continua 2024年第3期78卷 3413-3429页

作者： Rabia Abid Muhammad rizwan Abdulatif Alabdulatif Abdullah Alnajim Meznah Alamro Mourade Azrour Department of Computer Science Kinnaird College for WomenLahorePakistan College of Science and Engineering University of DerbyDerbyDE221GBUK Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia STI Laboratory IDMS TeamFaculty of Sciences and TechniquesMoulay Ismail University of MeknèsMeknesMorocco

Explainable Artificial Intelligence(XAI)has an advanced feature to enhance the decision-making feature and improve the rule-based technique by using more advanced Machine Learning(ML)and Deep Learning(DL)based *** this paper,we chose e-healthcare systems for efficient decision-making and data classification,especially in data security,data handling,diagnostics,laboratories,and *** Machine Learning(FML)is a new and advanced technology that helps to maintain privacy for Personal Health Records(PHR)and handle a large amount of medical data *** this context,XAI,along with FML,increases efficiency and improves the security of e-healthcare *** experiments show efficient system performance by implementing a federated averaging algorithm on an open-source Federated Learning(FL)*** experimental evaluation demonstrates the accuracy rate by taking epochs size 5,batch size 16,and the number of clients 5,which shows a higher accuracy rate(19,104).We conclude the paper by discussing the existing gaps and future work in an e-healthcare system.

关键词： Artificial intelligence data privacy federated machine learning healthcare system security

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Multi-functional metasurface:ultra-wideband/multi-band absorption switching by adjusting guided-mode resonance and local surface plasmon resonance effects

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Communications in Theoretical Physics 2024年第6期76卷 174-184页

作者： Wenxin Li Shubo Cheng Huafeng Zhang Zao Yi Bin Tang Can Ma Pinghui Wu Qingdong Zeng rizwan Raza School of Physics and Optoelectronic Engineering Yangtze UniversityJingzhouHubei 434023China Joint Laboratory for Extreme Conditions Matter Properties Southwest University of Science and TechnologyMianyang 621010China School of Chemistry and Chemical Engineering Jishou UniversityJishou 416000China School of Microelectronics and Control Engineering Changzhou UniversityChangzhou 213164China Department of Oncology Sichuan Science City HospitalMianyangSichuan Province 621000China Office of Science and Technology Quanzhou Normal UniversityQuanzhou 362000China School of Physics and Electronic-information Engineering Hubei Engineering UniversityXiaogan 432000China Department of Physics COMSATS Institute of Information Technology 54000 LahorePakistan

This study introduces an innovative dual-tunable absorption film with the capability to switch between ultra-wideband and narrowband *** manipulating the temperature,the film can achieve multi-band absorption within the 30-45 THz range or ultra-wideband absorption spanning 30-130 THz,with an absorption rate exceeding ***,the structural parameters of the absorption film are optimized using the particle swarm optimization(PSO)algorithm to ensure the optimal absorption *** absorption response of the film is primarily attributed to the coupling of guided-mode resonance and local surface plasmon resonance *** film's symmetric structure enables polarization incoherence and allows for tuning through various means such as doping/voltage,temperature and structural *** the case of a multi-band absorption response,the film exhibits good sensitivity to refractive index changes in multiple absorption ***,the absorption spectrum of the film remains effective even at large incidence angles,making it highly promising for applications in fields such as biosensing and infrared stealth.

关键词： PSO optimization ultra-wideband/narrowband absorption switching intelligent absorption film vanadium dioxide

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Tb^(3+)-nucleic acid probe-based label-free and rapid detection of mercury pollution in food

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Food Science and Human Wellness 2024年第2期13卷 993-998页

作者： Xuhan Xia Chenxi Zhou Yulin Zhu Yi Dong Qiang He Mohammad rizwan Khan Yuanlong Chi Rosa Busquets Ruijie Deng Yao Ren College of Biomass Science and Engineering Healthy Food Evaluation Research CenterSichuan UniversityChengdu 610065China Department of Chemistry College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia School of Life Sciences Pharmacy and ChemistryKingston University LondonKingston Upon Thames KT12EEUK

Mercury is a threatening pollutant in food,herein,we developed a Tb^(3+)-nucleic acid probe-based label-free assay for mix-and-read,rapid detection of mercury *** assay utilized the feature of light-up fluorescence of terbium ions(Tb^(3+))via binding with single-strand *** ion,Hg^(2+)induced thymine(T)-rich DNA strand to form a double-strand structure(T-Hg^(2+)-T),thus leading to fluorescence *** on the principle,Hg^(2+)can be quantified based on the fluorescence of Tb^(3+),the limit of detection was 0.0689μmol/L and the linear range was 0.1-6.0μmol/*** to the specificity of T-Hg^(2+)-T artificial base pair,the assay could distinguish Hg^(2+)from other metal *** recovery rate was ranged in 98.71%-101.34%for detecting mercury pollution in three food *** assay is low-cost,separation-free and mix-to-read,thus was a competitive tool for detection of mercury pollution to ensure food safety.

关键词： Mercury pollution Food safety Nucleic acid probe Label-free Terbium

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Fentanyl and xylazine crisis:Crafting coherent strategies for opioid overdose prevention

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World Journal of Psychiatry 2024年第6期14卷 760-766页

作者： Lakshit Jain Jasleen Kaur Shahana Ayub Danya Ansari rizwan Ahmed Abdul Qadir Dada Saeed Ahmed Department of Psychiatry University of ConnecticutFarmingtonCT 06032United States Addiction Services Division Connecticut Valley HospitalMiddletownCT 06457United States Department of Psychiatry Institute of LivingHartfordCT 06102United States Department of Medicine Islamabad Medical and Dental CollegeIslamabad 44000Pakistan Department of Medicine Liaquat College of Medicine and DentistryKarachi 75290Pakistan Department of Medicine Trinity School of MedicineRoswellGA 30075United States Addiction Services and Dual Diagnosis Unit Saint Francis Hospital and Medical CenterHartfordCT 06105United States

The United States is in the throes of a severe opioid overdose epidemic,primarily fueled by the pervasive use of fentanyl and the emerging threat of xylazine,a veterinary sedative often mixed with *** high potency and long duration of fentanyl is compounded by the added risks from xylazine,heightening the lethal danger faced by opioid *** such as enhanced surveillance,public awareness campaigns,and the distribution of fentanylxylazine test kits,and naloxone have been undertaken to mitigate this ***-related overdose deaths persist despite these efforts,partly due to inconsistent policies across states and resistance towards adopting harm reduction strategies.A multifaceted approach is imperative in effectively combating the opioid overdose *** approach should include expansion of treatment access,broadening the availability of medications for opioid use disorder,implementation of harm reduction strategies,and enaction of legislative reforms and diminishing stigma associated with opioid use disorder.

关键词： Fentanyl Xylazine Opioid overdose Epidemic Opioid use disorder Buprenorphine Medications for opioid use disorder

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Depression Intensity Classification from Tweets Using Fast Text Based Weighted Soft Voting Ensemble

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Computers, Materials & Continua 2024年第2期78卷 2047-2066页

作者： Muhammad rizwan Muhammad Faheem Mushtaq Maryam Rafiq Arif Mehmood Isabel de la Torre Diez Monica Gracia Villar Helena Garay Imran Ashraf Department of Artificial Intelligence The Islamia University of BahawalpurBahawalnagar63100Pakistan Department of Information Technology Khwaja Fareed University of Engineering and ITRYKhan64200Pakistan Department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalnagar63100Pakistan Department of Signal Theory and Communications and Telematic Engineering Unviersity of ValladolidPaseo de Belén 15Valladolid47011Spain Faculty of Social Science and Humanities Universidad Europea del Atlántico Isabel Torres 21Santander39011Spain Department of Project Management Universidad Internacional IberoamericanaCampeche24560México Fundación Universitaria Internacional de Colombia Bogotá111611Colombia Universidad Internacional Iberoamericana AreciboPuerto Rico00613USA Universidade Internacional do Cuanza Cuito46703Angola Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541South Korea

Predicting depression intensity from microblogs and social media posts has numerous benefits and applications,including predicting early psychological disorders and stress in individuals or the general public.A major challenge in predicting depression using social media posts is that the existing studies do not focus on predicting the intensity of depression in social media texts but rather only perform the binary classification of depression and moreover noisy data makes it difficult to predict the true depression in the social media *** study intends to begin by collecting relevant Tweets and generating a corpus of 210000 public tweets using Twitter public application programming interfaces(APIs).A strategy is devised to filter out only depression-related tweets by creating a list of relevant hashtags to reduce noise in the ***,an algorithm is developed to annotate the data into three depression classes:‘Mild,’‘Moderate,’and‘Severe,’based on International Classification of Diseases-10(ICD-10)depression diagnostic *** baseline classifiers are applied to the annotated dataset to get a preliminary idea of classification performance on the *** FastText-based model is applied and fine-tuned with different preprocessing techniques and hyperparameter tuning to produce the tuned model,which significantly increases the depression classification performance to an 84%F1 score and 90%accuracy compared to ***,a FastText-based weighted soft voting ensemble(WSVE)is proposed to boost the model’s performance by combining several other classifiers and assigning weights to individual models according to their individual *** proposed WSVE outperformed all baselines as well as FastText alone,with an F1 of 89%,5%higher than FastText alone,and an accuracy of 93%,3%higher than FastText *** proposed model better captures the contextual features of the relatively small sample class and aids in the detection of

关键词： Depression classification deep learning FastText machine learning

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