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Enhanced Fingerprinting Based Indoor Positioning Using Machine Learning

Computers, Materials & Continua 2021年第11期69卷 1631-1652页

作者： Muhammad Waleed Pasha mir yasir umair Alina mirza Faizan Rao Abdul Wakeel Safia Akram Fazli Subhan Wazir Zada Khan Department of Electrical Engineering National University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering National University of Modern Languages(NUML)Islamabad44000Pakistan Faculty of Computing Capital University of Science and TechnologyIslamabad44000Pakistan

Due to the inability of the Global Positioning System(GPS)signals to penetrate through surfaces like roofs,walls,and other objects in indoor environments,numerous alternative methods for user positioning have been *** those,the Wi-Fi fingerprinting method has gained considerable interest in Indoor Positioning Systems(IPS)as the need for lineof-sight measurements is minimal,and it achieves better efficiency in even complex indoor *** and online are the two phases of the fingerprinting *** researchers have highlighted the problems in the offline phase as it deals with huge datasets and validation of Fingerprints without pre-processing of data becomes a *** learning is used for the model training in the offline phase while the locations are estimated in the online *** researchers have considered the concerns in the offline phase as it deals with huge datasets and validation of Fingerprints becomes an *** learning algorithms are a natural solution for winnowing through large datasets and determining the significant fragments of information for localization,creating precise models to predict an indoor *** training sets are a key for obtaining better results in machine learning ***,an existing WLAN fingerprinting-based multistory building location database has been used with 21049 samples including 19938 training and 1111 testing *** proposed model consists of mean and median filtering as pre-processing techniques applied to the database for enhancing the accuracy by mitigating the impact of environmental dispersion and investigated machine learning algorithms(kNN,WkNN,FSkNN,and SVM)for estimating the *** proposed SVM with median filtering algorithm gives a reduced mean positioning error of 0.7959 m and an improved efficiency of 92.84%as compared to all variants of the proposed method for 108703 m^(2) area.

关键词： Indoor positioning system fingerprinting received signal strength indicator mean position error support vector machine

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GINS1 as a Novel Biomarker of Survival in Colon Adenocarcinoma Patients-A Secondary Publication

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Proceedings of Anticancer Research 2024年第3期8卷 60-67页

作者： Muhammad umair Abid yasir Hameed Department of Plant Breeding and Genetics University of Agriculture FaisalabadFaisalabadPakistan Department of Biochemistry and Biotechnology The Islamia University of BahawalpurBahawalpurPakistan

The study focused on elaborating the role of GINS1 expression and its regulatory mechanisms in colon adenocarcinoma (COAD). Using the UALCAN informational index, GINS1 expression assessment unveiled a critical up- regulation in malignant cells that stood out from normal controls, suggesting its contribution to COAD expansion. Further dismantling GINS1 expression across various boundaries revealed unsurprising up-regulation in different malignant development stages, racial groups, genders, and age classes in COAD patients, characteristics for its imperative role in cancer progression. Moreover, this study investigated the promoter methylation status of GINS1, uncovering a critical uniqueness between COAD samples and normal controls. Analyzing promoter methylation across various clinical boundaries uncovered powerful variations, with particular methylation patterns seen across cancer stages, race groups, genders, and age groups. Survival analysis using the Kaplan-Meier (KM) plotter tool showed a colossal connection between GINS1 expression levels and overall survival (OS) in COAD patients, with low GINS1 expression interfacing with higher OS. Additionally, mutational examination using the cBioPortal stage revealed that no critical change was found in COAD. Overall, these findings revealed the complex contribution of GINS1 in COAD pathogenesis, underlining its actual limit as a prognostic biomarker and supportive therapeutic agent in COAD management.

关键词： Colon adenocarcinoma Diagnosis Treatment

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Position Vectors Based Efcient Indoor Positioning System

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Computers, Materials & Continua 2021年第5期 1781-1799页

作者： Ayesha Javed mir yasir umair Alina mirza Abdul Wakeel Fazli Subhan Wazir Zada Khan Department of Electrical Engineering Military College of SignalsNational University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering National University of Modern Languages(NUML)Islamabad44000Pakistan Department of Computer Science and Information Security Jazan UniversityJazan45142Saudi Arabia

With the advent and advancements in the wireless technologies,Wi-Fi ngerprinting-based Indoor Positioning System(IPS)has become one of the most promising solutions for localization in indoor *** the outdoor environment,the lack of line-of-sight propagation in an indoor environment keeps the interest of the researchers to develop efcient and precise positioning systems that can later be incorporated in numerous applications involving Internet of Things(IoTs)and green *** this paper,we have proposed a technique that combines the capabilities of multiple algorithms to overcome the complexities experienced ***,in the database development phase,Motley Kennan propagation model is used with Hough transformation to classify,detect,and assign different attenuation factors related to the types of ***,important parameters for system accuracy,such as,placement and geometry of Access Points(APs)in the coverage area are also *** algorithm for deployment of an additional AP to an already existing infrastructure is proposed by using Genetic Algorithm(GA)coupled with Enhanced Dilution of Precision(EDOP).Moreover,classication algorithm based on k-Nearest Neighbors(k-NN)is used to nd the position of a stationary or mobile user inside the given coverage *** k-NN to provide low localization error and reduced space dimensionality,three APs are required to be selected *** this paper,we have suggested an idea to select APs based on Position Vectors(PV)as an input to the localization *** from our comprehensive investigations,it is revealed that the accuracy of indoor positioning system using the proposed technique unblemished the existing solutions with signicant improvements.

关键词： Indoor positioning systems Internet of Things access points position vectors genetic algorithm k-nearest neighbors

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Advancements and Challenges in Biomarkers for Colorectal Cancer Detection:A Comprehensive Review

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Proceedings of Anticancer Research 2024年第5期8卷 64-75页

作者： yasir Hameed Department of Biotechnology Institute of BiochemistryBiotechnologyand BioinformaticsThe Islamia University of BahawalpurPakistan

This study provides an overview of the current landscape of biomarkers for colorectal cancer(CRC)detection,focusing on genetic,proteomic,circulating microRNA(mirNA),and metabolomic *** remains a significant global health challenge,ranking among the most prevalent cancers worldwide and being a leading cause of cancer-related *** advancements in screening methods such as colonoscopy,sigmoidoscopy,and fecal occult blood tests(FOBT),the asymptomatic nature of early-stage CRC often results in late diagnoses,negatively impacting patient *** biomarkers like APC,KRAS,TP53,and microsatellite instability(MSI)play critical roles in CRC pathogenesis and *** biomarkers,detectable through polymerase chain reaction,next-generation sequencing,and other advanced techniques,guide early detection and personalized treatment *** biomarkers such as CEA,CA 19-9,and novel signatures offer insights into CRC’s physiological changes and disease status,aiding prognosis and treatment response assessments through enzyme-linked immunosorbent assay and mass *** mirNAs,including mir-21 and mir-92a,present promising non-invasive biomarkers that can be detected in blood and stool samples,reflecting CRC presence,progression,and therapeutic *** biomarkers,encompassing amino acids,lipids,and TCA cycle intermediates,provide further insights into CRC-associated metabolic alterations,which are crucial for early detection and treatment monitoring using mass spectrometry and nuclear magnetic *** these advancements,challenges such as biomarker validation,standardization,and clinical utility *** research directions include integrating multi-omics approaches and leveraging technologies like liquid biopsies and AI for enhanced biomarker discovery and clinical *** addressing these challenges and advancing research in biomarker development,CRC screening and management could pote

关键词： Colorectal cancer Biomarker Diagnosis Detection

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Morphometry of leaf and shoot variables to assess aboveground biomass structure and carbon sequestration by different varieties of white mulberry(Morus alba L.)

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Journal of Forestry Research 2021年第6期32卷 2291-2300页

作者： Ghulam Ali Bajwa Muhammad umair yasir Nawab Zahid Rizwan Pakistan Forest Institute Peshawar 25130Pakistan National Textile University Faisalabad 37610Pakistan

Mulberry is economically important and can also play a pivotal role in mitigating greenhouse *** and shoot traits were measured for Morus alba ***,*** ***,*** ***,and *** ***-1 to assess aboveground biomass(AGB)and carbon ***-specific and multivariety allometric AGB models were developed using the equivalent diameter at breast height(EDBH)and plant height(H).The completeharvest method was used to measure leaf and shoot traits and biomass,and the ash method was used to measure organic carbon *** results showed significant(p<0.01)varietal differences in leaf and shoot traits,AGB and carbon ***-1 variety had the greatest leaf density(mean±SE:1828.3±0.3 leaves tree^(-1)),Karyansuban had the largest mean leaf area(185.94±8.95 cm^(2)).A diminishing return was found between leaf area and leaf *** had the highest shoot density per tree(46.6±1.83 shoots tree^(-1)),total shoot length(264.1±2.32 m),dry biomass(16.69±0.58 kg tree^(-1)),carbon sequestration(9.99±0.32 kg tree^(-1))and CO_(2) mitigation(36.67±1.16 kg).The variety-specific AGB models b(EDBH)and b(EDBH)2 showed good fit and reasonable accuracy with a coefficient of determination(R^(2))=0.98-0.99,standard error of estimates(SEE)=0.1125-0.3130 and root mean square error(RMSE)=*** multivariety models bln(EDBH)and(EDBH)0.756 showed good-fitness and accuracy with R^(2)=0.85-0.86,SEE=1.6231-1.6445 and RMSE=*** the basis of these findings,variety Latifolia has good potential for biomass production,and allometric equations based on EDBH can be used to estimate AGB with a reasonable accuracy.

关键词： Allometry Biomass estimation CO_(2)mitigation Moraceae Mulberry Regression models

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NS1 antigen: A new beam of light in the early diagnosis of dengue infection

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Asian Pacific Journal of Tropical Medicine 2016年第12期9卷 1187-1189页

作者： Muhammad Suleman Rani Faryal Muhammad Masroor Alam Salmaan Sharif Shahzad Shaukat Uzma Bashir Aamir Adnan Khurshid Mehar Angez Massab umair Mian Muhammad Sufian yasir Arshad Ghulam Mujtaba Syed Sohail Zahoor Zaidi Department of Microbiology Quaid-i-Azam University Department of Virology National Institute of Health

Objective: To evaluate NS1 antigen detection ELISA for the early laboratory diagnosis of dengue virus infection. Methods: The present study was conducted to evaluate the overall positivity of NS1 antigen detection ELISA and its comparison with viral RNA detection via real time PCR and Ig M antibodies detection by ELISA. Results: A total of 1 270 serum samples were tested 86%(1 097/1 270) were detected positive by one or more than one diagnostic test. Out of 1 270, 64%(807/1 270) were positive by NS1 ELISA and 52%(662/1 270), 51%(646/1 270) were positive by real-time RT-PCR and Ig M ELISA ***: NS1 antigen detection ELISA is highly suitable diagnostic tools and it also has great value for use in outbreak and epidemic situation.

关键词： Dengue Pakistan Epidemiology ELISA NS1 Antigen

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Dengue outbreak in Swat and Mansehra,Pakistan 2013;an epidemiological and diagnostic perspective

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Asian Pacific Journal of Tropical Medicine 2016年第4期9卷 371-375页

作者： Muhammad Suleman Rani Faryal Uzma Bashir Aamir Muhammad Masroor Alam Nadia Nisar Salmaan Sharif Shahzad Shaukat Adnan Khurshid Mehar Angez Massab umair Ghulam Mujtaba Mian Muhammad Sufian yasir Arshad Lubna Rehman Syed Sohail Zahoor Zaidi Department of Microbiology.Quaid-i-Azam University Department of Virology National Institute of Health

Objective:To High light some epidemiological,clinical and diagnostic features of dengue fever during an outbreak and the role of different diagnostic techniques to achieve the highest level of accuracy in ***:Blood samples(n=323) were collected along with epidemiological and clinical data from suspected dengue patients who visited different hospitals in Swat and Mansehra district of Pakistan between May-November 2013 during a dengue *** were tested for the detection of viral nucleic acid by real-lime *** structural protein-1(NS1antigen and IgM antibodies by ***:Out of 323 cases with clinical dengue infection,304 were positive by one or more diagnostic parameter:201 samples were positive by real-time PCR,209 were positive by NS1 ELISA and 190 were positive by IgM *** of real-time PCR and NS1 *** were comparable for early diagnosis of dengue virus *** antibody detection assay was found useful for the diagnosis in the samples collected later than day 5 of ***:The use of real-lime PCR or detection of non stnictural protein NS 1 by ELISA followed by IgM antibodies detection can be recommended for early diagnosis of dengue virus infection with a high level of accuracy.

关键词： Dengue virus NS1 Antigen Pakistan Diagnosis Epidemiology Khyber Pakhtunkhwa

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力学敏感的mir-138-5p抑制骨形成

力学敏感的miR-138-5p抑制骨形成

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第十二届全国生物力学学术会议暨第十四届全国生物流变学学术会议

作者：陈志浩赵帆梁超胡丽芳陈蕾张琰印崇 yasir Arfat 李迪杰田野仇伍霞张科文杨超飞李晓娜陈维毅张戈骞爱荣西北工业大学生命学院空间生物实验模拟技术重点实验室骨代谢研究室西北工业大学特种医学与健康系统工程联合研究中心西北工业大学NPU-UAB骨代谢联合实验室香港浸会大学中医药学院骨与关节疾病转化医学研究所太原理工大学应用力学与生物医学工程研究所

目的力学刺激在调节骨骼生长,维持骨量稳定、骨骼健康中起重要作用。力学负荷的减少或缺失(如长期卧床、制动、失重、老龄)导致骨形成下降,引发骨质疏松。研究表明microRNA(mirNA)作为力生物学领域的一个新热点参与力学刺激调控骨形成...

目的力学刺激在调节骨骼生长,维持骨量稳定、骨骼健康中起重要作用。力学负荷的减少或缺失(如长期卧床、制动、失重、老龄)导致骨形成下降,引发骨质疏松。研究表明microRNA(mirNA)作为力生物学领域的一个新热点参与力学刺激调控骨形成过程。mirNAs是一类在真核细胞中发现的长度约为22个核苷酸的高度保守的单链小非编码RNA,在细胞分化、增殖、凋亡等多种生物学过程中发挥着至关重要的作用。有研究发现,力学负荷的

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