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Population structure,age and growth rates of conifer species and their relation to environmental variables at Malam Jabba,Swat District,Pakistan

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Journal of Forestry Research 2020年第2期31卷 429-441页

作者： Arsalan muhammad faheem siddiqui Moinuddin Ahmed Syed Shahid Shaukat Alamdar Hussain Department of Botany University of KarachiKarachi 75270Pakistan Dr.Moinuddin Ahmed Laboratory of Plant Ecology and Dendrochronology Department of BotanyFederal Urdu UniversityKarachiPakistan Institute of Environmental Studies University of KarachiKarachiPakistan Department of Botany Karakoram International UniversityGilgitGilgit-BaltistanPakistan

This study focuses on age,growth rate and diameter distribution of pine forests in the Malam Jabba area,Swat District,*** core samples were taken from twenty *** smithiana was the oldest at 234 years with a 112-cm *** pindrow was 125 years with an 80-cm diameter while the oldest Pinus wallichiana was 122 years with 75-cm *** fastest overall growth rate of 1.5±0.1 year/cm was for *** on a west-facing aspect,while the slowest 5.8±2.6 year/cm growth was *** on an eastfacing *** and *** exhibited marked differences in growth rates over a 5-year *** highest growth was by *** from 1966 to *** showed less growth over the same years,such pattern simultaneously reverse from 1911 to *** relationship between diameter and age,diameter and growth rate and age and growth rate were *** and *** ages were correlated with diameter and growth *** age was positive correlated with ***,topographic and edaphic factors did not show significant correlations with growth rates,although some appreciable correlations were *** growth of *** was correlated with elevation while *** was correlated with maximum water retaining *** and age produced uneven size classes and many size gaps,which could be the result of anthropogenic disturbances.

关键词： Dendrochronology Environmental variables Conifer species Forest structure Age classes

Deep Learning Based Efficient Crowd Counting System

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Computers, Materials & Continua 2024年第6期79卷 4001-4020页

作者： Waleed Khalid Al-Ghanem Emad Ul Haq Qazi muhammad Hamza faheem Syed Shah Amanullah Quadri Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Centre of Excellence in Cybercrime and Digital Forensics Naif Arab University for Security SciencesRiyadh14812Saudi Arabia Center of Excellence for Information Assurance(COEIA) King Saud UniversityRiyadh12372Saudi Arabia

Estimation of crowd count is becoming crucial nowadays,as it can help in security surveillance,crowd monitoring,and management for different *** is challenging to determine the approximate crowd size from an image of the crowd’s *** in this research study,we proposed a multi-headed convolutional neural network architecture-based model for crowd counting,where we divided our proposed model into two main components:(i)the convolutional neural network,which extracts the feature across the whole image that is given to it as an input,and(ii)the multi-headed layers,which make it easier to evaluate density maps to estimate the number of people in the input image and determine their number in the *** employed the available public benchmark crowd-counting datasets UCF CC 50 and ShanghaiTech parts A and B for model training and testing to validate the model’s *** analyze the results,we used two metrics Mean Absolute Error(MAE)and Mean Square Error(MSE),and compared the results of the proposed systems with the state-of-art models of crowd *** results show the superiority of the proposed system.

关键词： Crowd counting EfficientNet multi-head attention convolutional neural network transfer learning

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

Comparative Study of the Effects of Nano ZnO and CuO on the Biodegradation,Biocompatibility,and Antibacterial Properties of Micro-arc Oxidation Coating of Magnesium Alloy

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Acta Metallurgica Sinica(English Letters) 2024年第2期37卷 242-254页

作者： Ying Shen Xianfeng Shan Iniobong P.Etim muhammad Ali siddiqui Yang Yang Zewen Shi Xuping Su Junxiu Chen Key Laboratory of Materials Surface Science and Technology of Jiangsu Province Changzhou UniversityChangzhou213164China Department of Stomatology The Affiliated Xinhua Hospital of Dalian UniversityDalian116000China Department of Physics University of CalabarCalabar540242Nigeria Metallurgical Engineering Department NED University of Engineering and TechnologyUniversity RoadKarachi75270Pakistan Ningbo No.2 Hospital Ningbo315010China

This research systematically examined the degradation,antibacterial effects,and biocompatibility of micro-arc oxidation(MAO)coatings with nano CuO and ZnO on extruded Mg *** copper(Cu)and Zinc(Zn)possess antibacterial *** findings demonstrated that adding ZnO will appreciably reduce the degradation rate of MAO-coating alloy due to the self-sealing micro ***+MAO coating exhibited excellent antibacterial performance,with an antibacterial rate of over 90%within 6 h co-cultured with Staphylococcus ***,the antibacterial rate of ZnO+MAO coating reached 90%after 12 h *** test using MG63 cell indicated that the incorporation of CuO and ZnO did not notably affect the cell viability rate of the ***,after 14 days of culture,the CuO+MAO and ZnO+MAO coated samples exhibited higher alkaline phosphatase(ALP)activity than the MAO-coated and uncoated samples,suggesting favorable osteogenic properties.

关键词： Copper oxide Zinc oxide Micro-arc oxidation(MAO)coating Corrosion behavior Antibacterial characteristics

Aldosterone synthase inhibitor“Baxdrostat”for resistant hypertension:A clinical approach or futuristic idea?

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Chronic Diseases and Translational Medicine 2024年第2期10卷 146-148页

作者： muhammad Osama siddiqui Ayaan Ahmed Qureshi Arooba siddiqui Noor ul ain Liaquat National Hospital and Medical College KarachiSindhPakistan Karachi Medical and Dental College KarachiSindhPakistan

The American College of Cardiology/American Heart Association defines resistant hypertension(RH)as a clinical blood pressure(BP)reading of>130/80 mmHg in patients taking three antihypertensive drugs,including a renin–angiotensin system inhibitor,a calcium channel blocker(CCB),and a diuretic at well-tolerated doses.1,2 It is reported from multiple population-based surveys that in the United States,there is an approximately 12%–15%prevalence of RH among adults diagnosed with hypertension.2 A prospective study demonstrates that 20%of people diagnosed with RH had primary hyperaldosteronism.3,4 In addition to the classic three antihypertensive drugs,spironolactone and mineralocorticoid are also administered for ***,with respect to the safety profile of spironolactone,it has been reported to have several side effects such as low testosterone production,menstrual irregularities,and excessively raised serum potassium levels,leaving the drug unfit for the longitudinal therapeutic purpose of treating RH.

关键词： hypertension drugs hypertensive

Predicting potential invasion risks of Leucaena leucocephala(Lam.)de Wit in the arid area of Saudi Arabia

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Journal of Arid Land 2024年第7期16卷 983-999页

作者： Haq S MARIFATUL Darwish MOHAMMED Waheed muhammad Kumar MANOJ siddiqui H MANZER Bussmann W RAINER Department of Ethnobotany Institute of BotanyIlia State UniversityTbilisi 0162Georgia The Centre of Excellence on Sustainable Land Management(CoE-SLM) Indian Council of Forestry Research and EducationDehradun 248006India Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Botany State Museum for Natural HistoryKarlsruhe 76133Germany

The presence of invasive plant species poses a substantial ecological impact,thus comprehensive evaluation of their potential range and risk under the influence of climate change is *** study uses maximum entropy(MaxEnt)modeling to forecast the likelihood of Leucaena leucocephala(Lam.)de Wit invasion in Saudi Arabia under present and future climate change *** the MaxEnt modeling,we integrated climatic and soil data to predict habitat suitability for the invasive *** conducted a detailed analysis of the distribution patterns of the species,using climate variables and ecological *** focused on the important influence of temperature seasonality,temperature annual range,and precipitation *** distribution modeling used robust measures of area under the curve(AUC)and receiver-operator characteristic(ROC)curves,to map the invasion extent,which has a high level of accuracy in identifying appropriate *** complex interaction that influenced the invasion of *** was highlighted by the environmental parameters using Jackknife ***,the actual geographic area where *** was found in Saudi Arabia was considerably smaller than the theoretical maximum range,suggesting that it had the capacity to expand *** MaxEnt model exhibited excellent prediction accuracy and produced reliable results based on the data from the ROC *** and temperature were the primary factors influencing the potential distribution of ***,an estimated area of 216,342 km^(2)in Saudi Arabia was at a high probability of invasion by *** investigated the potential for increased invasion hazards in the future due to climate change scenarios(Shared Socioeconomic Pathways(SSPs)245 and 585).The analysis of key climatic variables,including temperature seasonality and annual range,along with soil properties such as clay composition and nitrogen content,unveiled their substanti

关键词： area under the curve invasive species invasion risks climate change MaxEnt model

Intelligent Breast Cancer Prediction Empowered with Fusion and Deep Learning

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Computers, Materials & Continua 2021年第4期67卷 1033-1049页

作者： Shahan Yamin siddiqui Iftikhar Naseer muhammad Adnan Khan muhammad faheem Mushtaq Rizwan Ali Naqvi Dildar Hussain Amir Haider School of Computer Science National College of Business Administration and EconomicsLahore54000Pakistan School of Computer Science Minhaj University LahoreLahore54000Pakistan Department of Computer Science&Information Technology Superior UniversityLahore54000Pakistan Department of Computer Science Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Unmanned Vehicle Engineering Sejong UniversitySeoul05006Korea School of Computational Sciences Korea Institute for Advanced Study(KIAS)85 HoegiroDongdaemunguSeoul02455Korea Department of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea

Breast cancer is the most frequently detected tumor that eventually could result in a significant increase in female mortality *** to clinical statistics,one woman out of eight is under the threat of breast *** and inheritance patterns may be a reason behind its spread among ***,some preventive measures,such as tests and periodic clinical checks can mitigate its risk thereby,improving its survival chances *** diagnosis and initial stage treatment can help increase the survival *** that purpose,pathologists can gather support from nondestructive and efficient computer-aided diagnosis(CAD)*** study explores the breast cancer CAD method relying on multimodal medical imaging and decision-based *** multimodal medical imaging fusion,a deep learning approach is applied,obtaining 97.5%accuracy with a 2.5%miss rate for breast cancer prediction.A deep extreme learning machine technique applied on feature-based data provided a 97.41%***,decisionbased fusion applied to both breast cancer prediction models to diagnose its stages,resulted in an overall accuracy of 97.97%.The proposed system model provides more accurate results compared with other state-of-the-art approaches,rapidly diagnosing breast cancer to decrease its mortality rate.

关键词： Fusion feature breast cancer prediction deep learning convolutional neural network multi-modal medical image fusion decision-based fusion

Incidence and predictors of hypocalcemia in end-stage renal disease patients on denosumab therapy: A systematic review and metaanalysis

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World Journal of Meta-Analysis 2024年第3期12卷 68-78页

作者： Abdul Hannan siddiqui Misbah Shaikh Afia Salman muhammad Ahmed Ali Fahim Fizzah Batool Tahreem Mari Sarah Musani Muneeb Fareed Rooma Rehan Amna Hassni Urooj Nizami Ayesha Amir Abdul Moeed Salim R Surani Department of Internal Medicine Dow University of Health SciencesKarachi 74200SindhPakistan Department of Medicine&Pharmacology Texas A&M UniversityCollege StationTX 77843United States

BACKGROUND Denosumab inhibits the receptor activator of nuclear factor *** markedly increases bone mineral density and has been proven to reduce the risk of ***,numerous adverse effects,notably hypocalcemia,are prevalent in patients with end-stage renal disease(ESRD).AIM To analyze the incidence and predictors of hypocalcemia caused by denosumab compared to control in patients with *** We conducted this study in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses ***,Scopus,Cochrane Central,and EMBASE were systematically searched from inception through March *** original studies investigating the effects of denosumab on patients with ESRD compared to control were *** primary outcomes of our study were the incidence of mild,severe,and very severe *** outcomes included serum levels of intact parathyroid hormone,calcium,and *** results were pooled and analyzed using a random-effects *** Seven articles comprising 3240 patients were included in our *** treated with denosumab had a significantly increased incidence of mild hypocalcemia[risk ratio(RR):2.79;95%confidence interval(CI):0.99-7.91;P=0.05;I^(2)=37%]and of very severe hypocalcemia(RR:9.58;95%CI:1.58-57.98;P=0.01;I^(2)=49%).However,an increase in the occurrence of severe hypocalcemia was non-significant(RR:4.23;95%CI:0.47-38.34;P=0.20;I^(2)=96%).Alternatively,denosumab showed a significant decrease in serum intact parathyroid hormone[mean difference(MD):-433.20,95%CI:-775.12 to-91.28,I2=98%,P=0.01],while there was a non-significant decrease in phosphate(MD:-0.47,95%CI:-1.35 to 0.41,I^(2)=88%,P=0.30)and calcium levels(MD:-0.33,95%CI:-0.95 to 0.29,I^(2)=94%,P=0.29).CONCLUSION Our study demonstrated that denosumab is significantly associated with mild and very severe hypocalcemia in patients with ESRD making it necessary to detect and prevent this side effect of treatmen

关键词： Denosumab End-stage renal disease Hypocalcemia Parathyroid hormone Dialysis

Investigation on the process parameters of TIG-welded aluminum alloy through mechanical and microstructural characterization

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Defence Technology（防务技术） 2021年第4期17卷 1234-1248页

作者： muhammad Samiuddin Jing-long Li muhammad Taimoor Mohammad Nouman siddiqui Sumair Uddin siddiqui Jiang-tao Xiong State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an710072PR China Shaanxi Key Laboratory of Friction Welding Technologies Northwestern Polytechnical UniversityXi’an710072PR China Metallurgical Engineering Department NED University of Engineering and TechnologyKarachi75850Pakistan Department of Aeronautics and Astronautics Institute of Space TechnologyIslamabad44000Pakistan

Multi-pass TIG welding was conducted on plates(15×300×180 mm^(3))of aluminum alloy Al-5083 that usually serves as the component material in structural applications such as cryogenics and chemical processing *** formation and solidification cracking are the most common defects when TIG welding Al-5083 alloy,which is sensitive to the welding heat *** the experiment,the heat input was varied from 0.89 kJ/mm to 5 kJ/mm designed by the combination of welding torch travel speed and welding ***,micro-Vicker hardness and Charpy impact tests were executed to witness the impetus response of heat input on the mechanical properties of the *** inspection was performed to assess the joint’s quality and welding *** results show that all the specimens displayed inferior mechanical properties as compared to the base *** was established that porosity was progressively abridged by the increase of heat *** results also clinched that the use of medium heat input(1-2 kJ/mm)offered the best mechanical properties by eradicating welding defects,in which only about 18.26% of strength was *** yield strength of all the welded specimens remained unaffected indica ted no influence of heat *** melted zone(PMZ)width also affected by heat input,which became widened with the increase of heat *** grain size of PMZ was found to be coarser than the respective grain size in the fusion *** impact testing revealed that the absorbed energy by low heat input specimen(welded at high speed)was greater than that of high heat input(welded at low speed)because of low porosity and the formation of equiaxed grains which induce better impact ***(-196℃)impact testing was also performed and the results corroborate that impact properties under the cryogenic environment revealed no appreciable change after welding at designated heat ***,Macro and micro fractured surfaces of tensile and impact spe

关键词： Tungsten inert gas welding(TIG) Heat input Welding defects Tensile strength Charpy impact strength Micro-vicker hardness SEM