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metabolic complications of psychotropic medications in psychiatric disorders:Emerging role of de novo lipogenesis and therapeutic consideration

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World Journal of Psychiatry 2024年第6期14卷 767-783页

作者： mohammad m Khan Zaw Ali Khan mohsin Ali Khan Laboratory of Translational Neurology and molecular Psychiatry Department of BiotechnologyEra’s Lucknow Medical College and Hospitaland Faculty of ScienceEra UniversityLucknow 226003India Era’s Lucknow medical College and Hospital Era UniversityLucknow 226003India

Although significant advances have been made in understanding the pathophysiology of psychiatric disorders(PDs),therapeutic advances have not been very *** psychotropic medications can reduce classical symptoms in patients with PDs,their long-term use has been reported to induce or exaggerate various pre-existing metabolic abnormalities including diabetes,obesity and non-alcoholic fatty liver disease(NAFLD).The mechanism(s)underlying these metabolic abnormalities is not clear;however,lipid/fatty acid accumulation due to enhanced de novo lipogenesis(DNL)has been shown to reduce membrane fluidity,increase oxidative stress and inflammation leading to the development of the aforementioned metabolic ***,emerging evidence suggest that DNL dysregulation and fatty acid accumulation could be the major mechanisms associated with the development of obesity,diabetes and NAFLD after long-term treatment with psychotropic medications in patients with *** support of this,several adjunctive drugs comprising of anti-oxidants and antiinflammatory agents,that are used in treating PDs in combination with psychotropic medications,have been shown to reduce insulin resistance and development of *** conclusion,the above evidence suggests that DNL could be a potential pathological factor associated with various metabolic abnormalities,and a new avenue for translational research and therapeutic drug designing in PDs.

关键词： Psychotropic medications metabolic complications De novo lipogenesis Obesity Diabetes Non-alcoholic fatty liver disease

Recent progress in two-dimensional metallenes and their potential application as electrocatalyst

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Journal of Energy Chemistry 2024年第7期94卷 577-598页

作者： Umer Shahzad mohsin Saeed muhammad Fazle Rabbee Hadi m.marwani Jehan Y.Al-Humaidi muhammad Altaf Raed H.Althomali Kwang-Hyun Baek md.Rabiul Awual mohammed m.Rahman Department of Chemistry Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Biotechnology Yeungnam UniversityGyeongsanSouth Korea Center of Excellence for Advanced materials Research(CEAmR) King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Chemistry College of SciencePrincess Nourah Bint Abdulrahman UniversityP.O.BOX 84428Riyadh 11671Saudi Arabia Department of Chemistry Center of Excellence for Innovation in Chemistry(PERCH-CIC)Center of Excellence in Materials Science and TechnologyFaculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Department of Chemistry College of Art and SciencePrince Sattam Bin Abdulaziz UniversityWadi Al-Dawasir 11991Saudi Arabia Western Australian School of mines:minerals Energy and Chemical EngineeringCurtin UniversityGPO Box U 1987PerthWA 6845Australia

In this article,we looked at metallenes,a novel class of two-dimensional(2D)metals that are attracting interest in the energy and catalysis *** is one area where their exceptional physicochemical and electrical characteristics might be *** are unique because they include several metal atoms that are not in a coordinated *** makes them more active and improves their atomic uti-lization,which in turn increases their catalytic *** article delves into the potential of two-dimensional metals as electrocatalysts for carbon dioxide reduction,fuel oxidation,oxygen evolution,and oxygen reduction reactions in the context of sustainable energy *** to the exception-ally high surface-to-volume ratio,large surface area as well as their optimized atomic use efficiency,2D materials defined by atomic layers are crucial for surface-related sustainable energy *** to its exceptional properties,such as high conductivity and the ability to enhance the exposure of active metal sites,2D metallenes have recently attracted a lot of interest for use in catalysis,electronics,and energy-related *** their highly mobility,adjustable surface states,and electrical struc-tures that can be fine-tuned,2D metallenes are promising nanostructure materials for use in energy con-version with the sustainable applications.

关键词： metallenes Electrocatalysts Electrochemical processes Atomically thin structure

Comparison of resistive index and shear-wave elastography in the evaluation of chronic kidney allograft dysfunction

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World Journal of Transplantation 2024年第1期14卷 154-163页

作者： Ameet Kumar Jesrani Syed m Faiq Rahma Rashid Tariq Ali Kalwar Rehan mohsin Tahir Aziz Nida Amin Khan muhammed mubarak Department of Radiology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan Department of Pathology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan Department of Transplantation Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan Department of Urology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan

BACKGROUND Detection of early chronic changes in the kidney allograft is important for timely intervention and long-term *** and novel ultrasound-based investigations are being increasingly used for this purpose with variable *** To compare the diagnostic performance of resistive index(RI)and shear wave elastography(SWE)in the diagnosis of chronic fibrosing changes of kidney allograft with histopathological *** This is a cross-sectional and comparative study.A total of 154 kidney transplant recipients were included in this study,which was conducted at the Departments of Transplantation and Radiology,Sindh Institute of Urology and Transplantation,Karachi,Pakistan,from August 2022 to February *** consecutive patients with increased serum creatinine levels and reduced glomerular filtration rate(GFR)after three months of transplantation were enrolled in this *** and RI were performed and the findings of these were evaluated against the kidney allograft biopsy results to determine their diagnostic *** The mean age of all patients was 35.32±11.08 *** these,126(81.8%)were males and 28(18.2%)were *** mean serum creatinine in all patients was 2.86±1.68 mg/dL and the mean estimated GFR was 35.38±17.27 mL/min/1.73 *** allograft biopsy results showed chronic changes in 55(37.66%)*** sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NPV)of SWE for the detection of chronic allograft damage were 93.10%,96.87%%,94.73%,and 95.87%,respectively,and the diagnostic accuracy was 95.45%.For RI,the sensitivity,specificity,PPV,and NPV were 76.92%,83.33%,70.17%,and 87.62%,respectively,and the diagnostic accuracy was 81.16%.CONCLUSION The results from this study show that SWE is more sensitive and specific as compared to RI in the evaluation of chronic allograft *** can be of great help during the routine follow-up of kidney transplant recipients for screening a

关键词： Shear wave Sonoelastography Resistive index Chronic allograft changes Biopsy Histopathology

An Improved Perturb and Observe maximum Power Point Tracking Algorithm for Photovoltaic Power Systems

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Journal of modern Power Systems and Clean Energy 2023年第4期11卷 1165-1175页

作者： Rasool Kahani mohsin Jamil m.Tariq Iqbal Department of Electrical and Computer Engineering Memorial University of NewfoundlandSt.John’sA1B 3X5Canada

This paper aims to improve the performance of the conventional perturb and observe(P&O)maximum power point tracking(mPPT)*** the oscillation around the maximum power point(mPP)is the main disadvantage of this technique,we introduce a modified P&O algorithm to conquer this *** new algorithm recognizes approaching the peak of the photovoltaic(PV)array power curve and prevents the oscillation around the *** key to achieve this goal is testing the change of output power in each cycle and comparing it with the change in array terminal power of the previous *** a decrease in array terminal power is observed after an increase in the previous cycle or in the opposite direction,an increase in array terminal power is observed after a decrease in the previous cycle;it means we are at the peak of the power curve,so the duty cycle of the boost converter should remain the same as the previous ***,an optimized duty cycle is introduced,which is adjusted based on the operating point of PV ***,a DC-DC boost converter powered by a PV array simulator is used to test the proposed *** the irradiance changes,the proposed algorithm produces an averageηmPPT of nearly 3.1%greater than that of the conventional P&O algorithm and the incremental conductance(In C)*** addition,under strong partial shading conditions and drift avoidance tests,the proposed algorithm produces an averageηmPPT of nearly 9%and 8%greater than that of the conventional algorithms,respectively.

关键词： Photovoltaic system maximum power point tracking(mPPT) perturb and observe(P&O) boost converter steady-state performance

Raising capital amid economic policy uncertainty:an empirical investigation

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Financial Innovation 2022年第1期8卷 2013-2044页

作者： Dawood Ashraf mohsin Khawaja m.Ishaq Bhatti Islamic Development Bank Institute(A member of Islamic Development Bank Group) 8111 King Khalid StreetJeddah 22332-2444Saudi Arabia School of Business Studies Institute of Business Administration(IBA)KarachiPakistan S P Jain School of Global management SydneyNSW 2141Australia La Trobe Business School La Trobe UniversityMelbourneAustralia

This paper investigates how economic policy uncertainty affects firms’frequency and their choice of financial instruments to raise *** applying a three-step sequential framework over a sample of 6834 publicly listed US non-financial firms,we find that during periods of high economic uncertainty,firms raise capital more frequently with a preference toward debt *** empirical findings suggest that firms prefer debt financing over equity financing to avoid ownership dilution and high equity *** rise in leverage during periods of high economic uncertainty highlights the importance of scrutinizing policy tools used to stabilize the economy during such times.

关键词： Economic policy uncertainty Political uncertainty Capital issuance Debt and equity markets Ownership structure Governance mechanisms

Nanoscaled mnSnO_(2)@CsPbBr_(3) quantum dots heterostructure photocatalyst as efficient organic pollutants degradation by peroxymonosulfate;DFT calculation

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Journal of materials Science & Technology 2023年第22期153卷 41-55页

作者： Raqiqa Tur Rasool Ghulam Abbas Ashraf mohsin Pasha muhammad Farooq Saleem Djamel Ghernaout mohammed m.Fadhali Hai Guo Department of Physics Zhejiang Normal UniversityJinhuaZhejiang 321004China School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative MoleculesShanghai Jiao Tong UniversityShanghai 200240China GBA branch of Aerospace Information Research Institute Chinese Academy of SciencesGuangzhou 510700China Chemical Engineering Department College of EngineeringUniversity of Ha’ilPO Box 2440Ha’il 81441Saudi Arabia Chemical Engineering Department Faculty of EngineeringUniversity of BlidaPO Box 270Blida 09000Algeria Department of Physics Faculty of ScienceJazan UniversityJazan 45142Saudi Arabia Department of Physics Faculty of ScienceIbb University 70270Yemen

In this work,we developed a promising photocatalyst in CsPbBr_(3) quantum dots(QDs)because of their exceptional optoelectronic ***,QDs applications in the field of photocatalysis were mainly hampered by their poor stability and insufficient charge transfer ***,a novel and efficient mnSnO_(2)@CsPbBr_(3)(mSO@QDs)nanocomposite was first time effectively designed and synthe-sized by a wet impregnation method for peroxymonosulfate(PmS)activation under the *** newly generated interface phase of QDs between mnSnO_(2)(mSO)showed great potential to improve light ab-sorption,leading to effective separation and transfer of photoelectron-hole *** novel nanocompos-ite mSO@QDs showed great Flurbiprofen(FL)removal efficiency under the PmS/Light *** should be noted that this nanocomposite removed 85.74%of FL in just 70 min,which was almost 1.11 and 2.51 times greater than using pure QDs and pure mSO,*** on thorough measurements of structural analysis,Brunauer-Emmett-Teller(BET),UV-vis spectra,electrochemical impedance spec-troscopy(EIS),transient photocurrent response,and a potential mechanism for organic pollutants degra-dation over mSO@QDs nanocomposite was *** principal reactive species of photoinduced holes(h^(+)),i.e.O_(2)^(˙−),SO_(4)^(˙−),^(˙)OH,and non-radical(^(1)O_(2))were characterized via scavengers’technique and electron paramagnetic resonance(EPR)*** highest photocatalytic performance for the re-moval of mO,mB,and IBU was demonstrated by mSO@QDs nanocomposite/PmS,revealing their excellent ability to remove organic pollutants through ***,the developed nanocompos-ite exhibited good stability in an aqueous *** to computational investigation using the density functional theory(DFT)method,the site’s higher Fukui index f^(0) value corresponds to a greater propensity to be attacked by reactive *** work offers a fresh perspective on developi

关键词： CsPbBr_(3)QDs mnSnO_(2) Peroxymonosulfate Nanocomposite Photocatalyst Organic pollutants DFT

Bio-Inspired Computational methods for the Polio Virus Epidemic model

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Computers, materials & Continua 2022年第8期72卷 2357-2374页

作者： Fatimah Abdulrahman Alrawajeh F.m.Allehiany Ali Raza Shaimaa A.m.Abdelmohsen Tahir Nawaz Cheema muhammad Rafiq muhammad mohsin Department of mathematics Faculty of Science CollegeImam Abdulrahman Bin Faisal University(IAU)Dammam31441Saudi Arabia Department of mathematical Sciences College of Applied SciencesUmm Al-Qura UniversityP.O.Box 715Makkah21955Saudi Arabia Department of mathematics Govt.Maulana Zafar Ali Khan Graduate College Wazirabad52000Punjab Higher Education Department(PHED)Lahore54000Pakistan Department of Physics College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of mathematics University of GujratGujrat50700Pakistan Department of mathematics Faculty of SciencesUniversity of Central PunjabLahore54600Pakistan Department of mathematics Technische Universitat Chemnitz6209111Germany

In 2021,most of the developing countries are fighting polio,and parents are concerned with the disabling of their *** transmits from person to person,which can infect the spinal cord,and paralyzes the parts of the body within a matter of *** to the World Health Organization(WHO),18 million currently healthy people could have been paralyzed by the virus during 1988–*** all countries but Pakistan,Afghanistan,and a fewmore have been declared *** mathematical modeling of poliovirus is studied in the population by categorizing it as susceptible individuals(S),exposed individuals(E),infected individuals(I),and recovered individuals(R).In this study,we study the fundamental properties such as positivity and boundedness of the *** also rigorously study the model’s stability and equilibria with or without *** numerical study,we design the Euler,Runge–Kutta,and nonstandard finite difference ***,the standard techniques are time-dependent and fail to present the results for an extended *** nonstandard finite difference method works well to study disease dynamics for a long time without any ***,the results of different methods are compared to prove their effectiveness.

关键词： Poliovirus modeling stability results computational methods

Deep Learning-based Environmental Sound Classification Using Feature Fusion and Data Enhancement

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Computers, materials & Continua 2023年第1期74卷 1069-1091页

作者： Rashid Jahangir muhammad Asif Nauman Roobaea Alroobaea Jasem Almotiri muhammad mohsin malik Sabah m.Alzahrani Department of Computer Science COMSATS University IslamabadVehari CampusPakistan Department of Computer Science University of Engineering and Technology LahorePakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21974Saudi Arabia

Environmental sound classification(ESC)involves the process of distinguishing an audio stream associated with numerous environmental *** common aspects such as the framework difference,overlapping of different sound events,and the presence of various sound sources during recording make the ESC task much more complicated and *** research is to propose a deep learning model to improve the recognition rate of environmental sounds and reduce the model training time under limited computation *** this research,the performance of transformer and convolutional neural networks(CNN)are *** audio features,chromagram,mel-spectrogram,tonnetz,mel-Frequency Cepstral Coefficients(mFCCs),delta mFCCs,delta-delta mFCCs and spectral contrast,are extracted fromtheUrbanSound8K,ESC-50,and ESC-10,***,this research also employed three data enhancement methods,namely,white noise,pitch tuning,and time stretch to reduce the risk of overfitting issue due to the limited audio *** evaluation of various experiments demonstrates that the best performance was achieved by the proposed transformer model using seven audio features on enhanced *** UrbanSound8K,ESC-50,and ESC-10,the highest attained accuracies are 0.98,0.94,and 0.97 *** experimental results reveal that the proposed technique can achieve the best performance for ESC problems.

关键词： Environmental sound classification convolutional neural network deep learning transformer data augmentation

Examination of Pine Wilt Epidemic model through Efficient Algorithm

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Computers, materials & Continua 2022年第6期71卷 5293-5310页

作者： Ali Raza Emad E.mahmoud A.m.Al-Bugami Dumitru Baleanu muhammad Rafiq muhammad mohsin muneerah Al Nuwairan Department of mathematics Govt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Department of mathematics College of ScienceTaif UniversityTaif21944Saudi Arabia Department of mathematics Cankaya UniversityBalgatAnkara06530Turkey Department of medical Research China Medical UniversityTaichung40402Taiwan Department of mathematics Faculty of SciencesUniversity of Central PunjabLahore54600Pakistan Department of mathematics Technische Universitat Chemnitz6209111Germany Department of mathematics and Statistics King Faisal UniversityAl Ahsa31982Saudi Arabia

Pine wilt is a dramatic disease that kills infected trees within a few weeks to a few *** cause is the pathogen Pinewood *** plant-parasitic nematodes are attached to plant roots,but pinewood nematodes are found in the tops of *** kill the tree by feeding the cells around the resin *** modeling of a pine wilt disease is based on six compartments,including three for plants(susceptible trees,exposed trees,and infected trees)and the other for the beetles(susceptible beetles,exposed beetles,and infected beetles).The deterministic modeling,along with subpopulations,is based on Law of mass *** stability of the model along with equilibria is studied *** authentication of analytical results is examined through well-known computer methods like Non-standard finite difference(NSFD)and the model’s feasible properties(positivity,boundedness,and dynamical consistency).In the end,comparison analysis shows the effectiveness of the NSFD algorithm.

关键词： Pine wilt disease modeling NSFD algorithm linearization of NSFD algorithm results