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Experimental and computational study of annealed nickel sulfide quantum dots for catalytic and antibacterial activity

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Nano Materials Science 2024年第3期6卷 355-364页

作者： Muhammad Ikram Sawaira Moeen Ali Haider Anwar Ul-Hamid Haya Alhummiany Hamoud H.Somaily Souraya Goumri-Said Mohammed Benali Kanoun Solar Cell Applications Research Lab Department of PhysicsGovernment College University LahoreLahore54000PunjabPakistan Department of Clinical Sciences Faculty of Veterinary and Animal SciencesMuhammad Nawaz ShareefUniversity of Agriculture66000MultanPunjabPakistan Core Research Facilities King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Department of Physics Faculty of ScienceUniversity of JeddahP.O.Box 13151Jeddah21493Saudi Arabia Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Physics Department College of Science and General StudiesAlfaisal UniversityP.O.Box 50927Riyadh11533Saudi Arabia Department of Mathematics and Sciences College of Humanities and SciencesPrince Sultan UniversityP.O.Box 66833Riyadh11586Saudi Arabia

This research investigates the hydrothermal synthesis and annealing duration effects on nickel sulfide(NiS_(2) quantum dots(QDs)for catalytic decolorization of methylene blue(MB)dye and antimicrobial *** size increased with longer annealing,reducing catalytic ***–vis,XRD,TEM,and FTIR analyses probed optical structural,morphological,and vibrational *** confirmed NiS2's anorthic structure,with crystallite size growing from 6.53 to 7.81 nm during extended ***–Vis exhibited a bathochromic shift,reflecting reduced band gap energy(Eg)in NiS_(2).TEM revealed NiS_(2)QD formation,with agglomerated QD average size increasing from 7.13 to 9.65 nm with prolonged *** NiS_(2) showed significant MB decolorization(89.85%)in acidic *** NiS_(2) QDs demonstrated notable antibacterial activity,yielding a 6.15mm inhibition zone against Escherichia coli(***)compared to ***-principles computation supported a robust interaction between MB and NiS_(2),evidenced by obtained adsorption *** study highlights the nuanced relationship between annealing duration,structural changes,and functional properties in NiS_(2)QDs,emphasizing their potential applications in catalysis and antibacterial interventions.

关键词： NiS_(2) antibacterial quantum dots dye degradation DFT

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Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection

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Computers, Materials & Continua 2024年第3期78卷 4225-4241页

作者： Muhammad Armghan Latif Zohaib Mushtaq Saad Arif Sara Rehman Muhammad Farrukh Qureshi Nagwan Abdel Samee Maali Alabdulhafith Yeong Hyeon Gu Mohammed A.Al-masni Department of Computer and Information System Cleveland State UniversityOhio44115USA Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Biomedical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Artificial Intelligence College of Software and Convergence TechnologySejong UniversitySeoul05006Korea

Thyroid disorders represent a significant global health challenge with hypothyroidism and hyperthyroidism as two common conditions arising from dysfunction in the thyroid *** and timely diagnosis of these disorders is crucial for effective treatment and patient *** research introduces a comprehensive approach to improve the accuracy of thyroid disorder diagnosis through the integration of ensemble stacking and advanced feature selection *** forward feature selection,sequential backward feature elimination,and bidirectional feature elimination are investigated in this *** ensemble learning,random forest,adaptive boosting,and bagging classifiers are *** effectiveness of these techniques is evaluated using two different datasets obtained from the university of California Irvine-Machine Learning Repository,both of which undergo preprocessing steps,including outlier removal,addressing missing data,data cleansing,and feature *** experimentation demonstrates the remarkable success of proposed ensemble stacking and bidirectional feature elimination achieving 100%and 99.86%accuracy in identifying hyperthyroidism and hypothyroidism,*** enhancing detection accuracy,the ensemble stacking model also demonstrated a streamlined computational complexity which is pivotal for practical medical *** significantly outperformed existing studies with similar objectives underscoring the viability and effectiveness of the proposed *** research offers an innovative perspective and sets the platform for improved thyroid disorder diagnosis with broader implications for healthcare and patient well-being.

关键词： Ensemble learning random forests boosting dimensionality reduction machine learning smart healthcare computer aided diagnosis

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Artemisia argyi extract subfraction exerts an antifungal effect against dermatophytes by disrupting mitochondrial morphology and function

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Chinese Journal of Natural Medicines 2024年第1期22卷 47-61页

作者： CHEN Le ZHU Yunyun GUO Chaowei GUO Yujie ZHAO Lu MIAO Yuhuan DU Hongzhi LIU Dahui college of Pharmacy Hubei University of Chinese MedicineWuhan 430065China National Resource Center for Chinese Materia Medica China Academy of Chinese Medical SciencesBeijing 100700China college of Pharmacy Nanjing University of Chinese MedicineNanjing 210023China

Artemisia argyi(***),a plant with a longstanding history as a raw material for traditional medicine and functional diets in Asia,has been used traditionally to bathe and soak feet for its disinfectant and itch-relieving *** its widespread use,scientific evidence validating the antifungal efficacy of *** water extract(AAWE)against dermatophytes,particularly Trichophyton rubrum,Trichophyton mentagrophytes,and Microsporum gypseum,remains *** study aimed to substantiate the scientific basis of the folkloric use of *** by evaluating the antifungal effects and the underlying molecular mechanisms of its active subfraction against *** results indicated that AAWE exhibited excellent antifungal effects against the three aforementioned dermatophyte *** subfraction AAWE6,isolated using D101 macroporous resin,emerged as the most potent *** minimum inhibitory concentrations(MICs)of AAWE6 against ***,***,and *** were 312.5,312.5,and 625μg·mL−1,*** electron microscopy(TEM)results and assays of enzymes linked to cell wall integrity and cell membrane function indicated that AAWE6 could penetrate the external protective barrier of ***,creating breaches(“small holes”),and disrupt the internal mitochondrial structure(“granary”).Furthermore,transcriptome data,quantitative real-time PCR(RT-qPCR),and biochemical assays corroborated the severe disruption of mitochondrial function,evidenced by inhibited tricarboxylic acid(TCA)cycle and energy ***,chemical characterization and molecular docking analyses identified flavonoids,primarily eupatilin(131.16±4.52 mg·g^(−1))and jaceosidin(4.17±0.18 mg·g^(−1)),as the active components of *** conclusion,the subfraction AAWE6 from *** exerts antifungal effects against dermatophytes by disrupting mitochondrial morphology and *** research validates the traditional use of *** and provides scient

关键词： Artemisia argyi Dermatophyte Antifungal activity Mitochondrial structure Mitochondrial function Transcriptome analysis

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Targeting the RAS/RAF/MAPK pathway for cancer therapy: from mechanism to clinical studies

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Signal Transduction and Targeted Therapy 2024年第1期9卷 173-210页

作者： Md Entaz Bahar Hyun Joon Kim Deok Ryong Kim Department of Biochemistry and Convergence Medical Sciences and Institute of Medical Science Gyeongsang National UniversityCollege of MedicineJinjuSouth Korea Department of Anatomy and Convergence Medical Sciences and Institute of Medical Science Gyeongsang National UniversityCollege of MedicineJinjuSouth Korea

Metastatic dissemination of solid tumors,a leading cause of cancer-related mortality,underscores the urgent need for enhanced insights into the molecular and cellular mechanisms underlying metastasis,chemoresistance,and the mechanistic backgrounds of individuals whose cancers are prone to *** most prevalent signaling cascade governed by multi-kinase inhibitors is the mitogen-activated protein kinase(MAPK)pathway,encompassing the RAS–RAF–MAPK kinase(MEK)–extracellular signal-related kinase(ERK)*** kinase is a primary mediator of the MAPK pathway,responsible for the sequential activation of downstream targets,such as MEK and the transcription factor ERK,which control numerous cellular and physiological processes,including organism development,cell cycle control,cell proliferation and differentiation,cell survival,and *** in this signaling cascade are associated with diseases such as *** inhibitors(RAFi)combined with MEK blockers represent an FDAapproved therapeutic strategy for numerous RAF-mutant cancers,including melanoma,non-small cell lung carcinoma,and thyroid ***,the development of therapy resistance by cancer cells remains an important ***,an intracellular lysosome-dependent catabolic recycling process,plays a critical role in the development of RAFi resistance in ***,targeting RAF and autophagy could be novel treatment strategies for RAF-mutant *** this review,we delve deeper into the mechanistic insights surrounding RAF kinase signaling in tumorigenesis and ***,we explore and discuss the ongoing development of next-generation RAF inhibitors with enhanced therapeutic ***,this review sheds light on the functional interplay between RAF-targeted therapies and autophagy in cancer.

关键词： RAF insight mechanism

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Dual carbon goal and agriculture in China: Exploring key factors influencing farmers' behavior in adopting low carbon technologies

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Journal of Integrative Agriculture 2024年第9期 3215-3233页

作者： Jinpeng Zou Lulin Shen Fang Wang Hong Tang Ziyang Zhou college of Management Sichuan Agricultural University

Identifying the factors influencing farmers' adoption of low-carbon technologies(FA) and understanding their impacts are essential for shaping effective agricultural policies amied at emission reduction and carbon sequestration in China. This study employs a meta-analysis of 122 empirical studies, delves into 23 driving factors affecting FA and addresses the inconsistencies present in the existing literature. We systematically examine the effect size, source of heterogeneity, and time-accumulation effect of the driving factors on FA. We find that significant heterogeneity in the factors influencing FA, except for farming experience, sources of heterogeneity from the survey zone, methodology model, technological attributes, report source, financial support, and the sampling year. Additionally, age, farming experience, and adoption cost negatively correlate with FA. In contrast, educational level, health status, technical training, economic and welfare cognition, land contract, soil quality, terrain, information accessibility, demonstration, government promotion, government regulation, government support, agricultural cooperatives member, peer effect, and agricultural income ratio demonstrate a positive correlation. Especially, demonstration and age show a particularly strong correlation. Finally, the effect of demonstration, age, economic and welfare cognition, farming experience, land contract, soil quality, information accessibility, government promotion, and support, as well as agricultural cooperative membership and peer effects on FA, are generally stable but exhibit varying degrees of attenuation over time. The effect of village cadre, family income, farm scale, gender, health status, technical training, and off-farm work on FA show notable temporal shifts and maintain a weak correlation with FA. This study contributes to shaping China's current low-carbon agriculture policies across various regions. It encourages policymakers to comprehensively consider the st

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Performance of the EDACS-ADP incorporating high-sensitivity troponin assay:Do components of major adverse cardiac events matter?

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World Journal of Emergency Medicine 2024年第3期15卷 175-180页

作者： Yedalm Yoo Shin Ahn Bora Chae Won Young Kim Department of Emergency Medicine Asan Medical CenterUniversity of Ulsan College of MedicineSeoul 05505Republic of Korea

BACKGROUND:The accelerated diagnostic protocol(ADP)using the Emergency Department Assessment of Chest pain Score(EDACS-ADP),a tool to identify patients at low risk of a major adverse cardiac event(MACE)among patients presenting with chest pain to the emergency department,was developed using a contemporary troponin *** study was performed to validate and compare the performance of the EDACS-ADP incorporating high-sensitivity cardiac troponin I between patients who had a 30-day MACE with and without unstable angina(MACE I and II,respectively).METHODS:A single-center prospective observational study of adult patients presenting with chest pain suggestive of acute coronary syndrome was *** performance of EDACS-ADP in predicting MACE was assessed by calculating the sensitivity and negative predictive ***:Of the 1,304 patients prospectively enrolled,399(30.6%;95%confidence interval[95%CI]:27.7%–33.8%)were considered low-risk using the *** them,the rates of MACE I and II were 1.3%(5/399)and 1.0%(4/399),*** EDACS-ADP showed sensitivities and negative predictive values of 98.8%(95%CI:97.2%–99.6%)and 98.7%(95%CI:97.0%–99.5%)for MACE I and 98.7%(95%CI:96.8%–99.7%)and 99.0%(95%CI:97.4%–99.6%)for MACE II,***:EDACS-ADP could help identify patients as safe for early ***,when unstable angina was added to the outcome,the 30-day MACE rate among the designated lowrisk patients remained above the level acceptable for early discharge without further evaluation.

关键词： Chest pain Major adverse cardiac event Acute coronary syndrome Emergency department

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Potassium alleviated high nitrogen-induced apple growth inhibition by regulating photosynthetic nitrogen allocation and enhancing nitrogen utilization capacity

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Horticultural Plant Journal 2024年第1期10卷 1-14页

作者： Xinxiang Xu Guangyuan Liu Jingquan Liu Mengxue Lyu Fen Wang Yue Xing Hao Meng Min Li Yu Jiang Ge Tian Zhanling Zhu Yuanmao Jiang Shunfeng Ge State Key Laboratory of Crop Biology College of Horticulture Science and EngineeringShandong Agricultural UniversityTai'anShandong 271018China Key Laboratory of Biochemistry and Molecular Biology in Universities of Shandong College of Biological and Agricultural EngineeringWeifang UniversityWeifangShandong 261061China

There is a close relationship between potassium(K)and nitrogen(N).However,the roles of K under high N conditions remain *** a hydroponics approach,we monitored the morphological,physiological,and molecular changes in M9T337 apple(Malus domestica)rootstocks under different nitrate(10 and 30 mmol·L^(-1)NO_(3)^(-))and K supply(0.5,6,10,and 20 mmol·L_(-1)K^(+))*** revealed that high nitrate inhibited the root growth of M9T337 rootstocks,downregulated the expressions of K transporter genes(MdPT5,MdHKT1,and MdATK1),and reduced the net NO3-and K+influx at the surface of roots,thereby resulting in an N/K imbalance in *** investigation showed that 10 mmol·L^(-1)K increased the activity of N metabolic enzymes(NR,GS,NiR,and GOGAT),upregulated the expressions of genes related to nitrate uptake and transport(MdNRT1.1,MdNRT1.2,MdNRT1.5,and MdNRT2.4),promoted15N transport from the roots to the shoots,optimized leaf N distribution,and improved photosynthetic N utilization efficiency under high nitrate *** results suggest that the negative effects of high nitrate may be related to the N/K imbalance and that reducing N/K in plants by increasing K supply level can effectively alleviate the inhibition of N assimilation by high nitrate stress.

关键词： Apple rootstock K level High nitrate stress N metabolism ^(15)N

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Comparative evaluation of artificial intelligence systems'accuracy in providing medical drug dosages:A methodological study

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World Journal of Methodology 2024年第4期14卷 121-130页

作者： Swaminathan Ramasubramanian Sangeetha Balaji Tejashri Kannan Naveen Jeyaraman Shilpa Sharma Filippo Migliorini Suhasini Balasubramaniam Madhan Jeyaraman Department of Orthopaedics Government Medical CollegeOmandurar Government EstateChennai 600002Tamil NaduIndia Department of Orthopaedics ACS Medical College and HospitalDr MGR Educational and Research InstituteChennai 600077Tamil NaduIndia Department of Paediatric Surgery All India Institute of Medical SciencesNew Delhi 110029India Department of Life Sciences HealthLink Campus UniversityRome 00165Italy Department of Orthopaedic and Trauma Surgery Academic Hospital of Bolzano(SABES-ASDAA)Teaching Hospital of the Paracelsus Medical UniversityBolzano 39100Italy Department of Radio-Diagnosis Government Stanley Medical College and HospitalChennai 600001Tamil NaduIndia

BACKGROUND Medication errors,especially in dosage calculation,pose risks in *** intelligence(AI)systems like ChatGPT and Google Bard may help reduce errors,but their accuracy in providing medication information remains to be *** To evaluate the accuracy of AI systems(ChatGPT 3.5,ChatGPT 4,Google Bard)in providing drug dosage information per Harrison's Principles of Internal *** A set of natural language queries mimicking real-world medical dosage inquiries was presented to the AI *** were analyzed using a 3-point Likert *** analysis,conducted with Python and its libraries,focused on basic statistics,overall system accuracy,and disease-specific and organ system *** ChatGPT 4 outperformed the other systems,showing the highest rate of correct responses(83.77%)and the best overall weighted accuracy(0.6775).Disease-specific accuracy varied notably across systems,with some diseases being accurately recognized,while others demonstrated significant *** system accuracy also showed variable results,underscoring system-specific strengths and *** ChatGPT 4 demonstrates superior reliability in medical dosage information,yet variations across diseases emphasize the need for ongoing *** results highlight AI's potential in aiding healthcare professionals,urging continuous development for dependable accuracy in critical medical situations.

关键词： Dosage calculation Artificial intelligence ChatGPT Drug dosage Healthcare Large language models

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Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： M.Adimoolam K.Maithili N.M.Balamurugan R.Rajkumar S.Leelavathy Raju Kannadasan Mohd Anul Haq Ilyas Khan ElSayed M.Tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)*** various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

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Unraveling the role of NiSnPH@OOH/CC perovskite hydroxide for efficient electrocatalytic oxidation of methanol to formate

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Nano Research 2024年第4期17卷 2388-2399页

作者： Jing Shao Yusheng Fang Xiaobing Wu Muhammad Imran Abdullah Youkun Tao college of Chemistry and Environmental Engineering Shenzhen UniversityShenzhen 518060China School of Science Harbin Institute of TechnologyShenzhen 518055China

The sluggish kinetics of oxygen evolution reaction(OER)is the key tailback for hydrogen production from the water *** OER with thermodynamically auspicious methanol oxidation reaction(MOR)can significantly boost the H_(2) and value-added products ***,it is currently challenging to achieve a synergistic manipulation of product selectivity and performance for MOR ***,we report NiSnPH@OOH/CC(CC=carbon cloth)perovskite hydroxide nanosphere as an efficient MOR electrocatalyst with high activity,stability,and selectivity towards methanol oxidation to formate.A surface amorphous layer of defect rich NiOOH was generated in operando by selective Sn leaching with stable perovskite hydroxide bulk structure,which mitigates the oxidative power and optimizes the local coordination environment of the active NiOOH *** situ Raman combined with electrochemical studies further confirm the key active species,NiOOH,generated in operando enhance the MOR and blocking the over oxidation of methanol to CO_(2).As a result,NiSnPH@OOH/CC effectively masks the OER and attains>99%selectivity with 100%Faradic efficiency for *** results of this study show the advances of NiSnPH@OOH/CC as an efficient electrocatalyst for MOR and also suggest its potential applications for various small organic molecules oxidation.

关键词： perovskite hydroxide small organic molecules nickel oxy(hydroxide) value-added products methanol oxidation reaction

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