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Journal of Tuberculosis Research 2024年第2期12卷 57-72页

作者： Khalid Mahmood Razia Fatima Aashifa Yaqoob Faheem Jan zia Samad Mahboob ul Haq National Tuberculosis Control Program Islamabad Pakistan

Background: Tuberculosis (TB) is one of the major killer diseases among infectious diseases. The success of TB control depends on the capability of the health care system to detect and accurately manage TB cases. Tuberculosis in children remained a low public health priority with limited epidemiologic studies. Struggles for TB control in children need to be enhanced as children are providing the reservoir for future cases to develop. Objectives: The study evaluated diagnostic and treatment practices related to childhood pulmonary tuberculosis in Gilgit Baltistan (GB), Pakistan. Methods: A descriptive, cross-sectional study based on retrospective record review of childhood Pulmonary Tuberculosis patients registered in the year 2020 with self-administered questionnaire. Results: Data of 557 childhood cases were collected. Most childhood cases were in age group 1 - 4 years (54%) with male predominance. More than 90% were diagnosed and treated at public sector facilities. 99% of the cases were clinically diagnosed with passive case finding. Cough was considered as a symptom of childhood Tuberculosis (TB) by 94% of physicians. Other important features included failure to thrive (13%), contact with a family history of TB (15%), Malnutrition(24%) and respiratory signs (21%). 99% physicians advised chest X-ray, Complete blood count (CBC) (95%) and Erythrocytes sedimentation rate (ESR) (72%) for diagnosis and fewer physicians (2%) used sputum smear microscopy and induced sputum (0.1%). Combining data on dosage, frequency and duration for drugs, 99% of the cases were found receiving correct regimen. The treatment outcomes of the cases were cured 4 (0.8%), treatment completed 551 (99.3%) and died 2 (0.4%) with no lost to follow up. Conclusions: The study highlights inappropriate diagnostic and treatment practices for managing childhood pulmonary TB among physicians in public and private sectors of Gilgit Baltistan. Most of the cases are managed by general practitioners with no

关键词： Childhood Tuberculosis Management Respiratory Signs

Long-term outcomes of titanium-nitride-oxide coated stents and drug-eluting stents in acute coronary syndrome:A systematic review and meta-analysis

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World Journal of Cardiology 2024年第5期16卷 293-305页

作者： Muhammad Ahmed Ali Fahim Afia Salman Hira Anas Khan Syed Muhammad Hasan Muskan FatimaBhojani Sarah Aslam Amna zia ul Haq Vishal Reddy Bejugam Beena Muntaha Nasir Wajiha Gul Abdul Moeed Abdelrahman S Abdalla Muhammad Majid Muhammad Sohaib Asghar Md Al Hasibuzzaman Department of Internal Medicine Dow University of Health SciencesKarachi 74200Pakistan Department of Internal Medicine North Central Bronx HospitalBronxNY 10467United States Department of Urology Center for Academic MedicineStanford University School of MedicinePalo AltoCA 33872United States Department of Cardiovascular Imaging Cleveland ClinicClevelandOH 44195United States Division of Nephrology and Hypertension Mayo Clinic RochesterRochesterMN 55905United States Institute of Nutrition and Food Science University of DhakaDhaka 1000Bangladesh

BACKGROUND In severe cases of coronary artery disease,percutaneous coronary intervention provide promising *** stent used could be a drug-eluting stent(DES)or a titanium-nitride-oxide coated stent(TiNOS).AIM To compare the 5-year effectiveness and safety of the two stent *** The following systematic review and meta-analysis was conducted in accordance with the preferred reporting items for systematic reviews and meta-analysis guidelines,and PubMed/MEDLINE,Scopus,and Cochrane Central were searched from inception till August *** outcomes were major adverse cardiac events(MACE),cardiac death,myocardial infarction(MI),cardiac death or MI,and ischemia-driven total lesion revascularization(ID-TLR).RESulTS Four randomized controlled trials(RCT),which analyzed a sum total of 3045 patients with acute coronary syndrome(ACS)after a median follow-up time of 5 years were *** statistically insignificant,an increase in the ID-TLR was observed in patients receiving TiNOSs vs *** addition,MI,cardiac death and MI,and definite stent thrombosis(DST)were significantly decreased in the TiNOS *** analysis revealed no significant results with meta-regression presenting non-ST elevated MI(NSTEMI)as a statistically significant covariate in the outcome of *** TiNOS was found to be superior to DES in terms of MI,cardiac death or MI,and DST outcomes,however,the effect of the two stent types on ID-TLR and MACE was not significant.A greater number of studies are required to establish an accurate comparison of patient outcomes in TiNOS and DES.

关键词： Stents Drug-eluting Major adverse cardiac events All-cause death Meta-analysis

Enhancing Dielectric and Mechanical Behaviors of Hybrid Polymer Nanocomposites Based on Polystyrene,Polyaniline and Carbon Nanotubes Coated with Polyaniline

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Chinese Journal of Polymer Science 2016年第12期34卷 1500-1509页

作者： Tanveer ul Haq zia Ahmad Nawaz Khan Majid Hussain Ibrar Hassan Iftikhar Hussain Gul Department of Materials Engineering School of Chemical and Materials EngineeringNational University of Sciences and Technology

The dielectric and mechanical properties of hybrid polymer nanocomposites of polystyrene/polyaniline/carbon nanotubes coated with polyaniline （pCNTs） have been investigated using impedance analyzer and extensometer. The blends of PS/PANI formed the heterogeneous phase separated morphology in which pCNTs are dispersed uniformly. The incorporation of a small amount of pCNTs into the blend of PS/PANI has remarkably increased the dielectric properties. Similarly, the AC conductivity of PS/PANI is also increased five orders of magnitude from 1.6 × 10^-10 to 2.0×10^-5 ***-1 in the hybrid nanocomposites. Such behavior of hybrid nanocomposites is owing to the interfacial polarization occurring due to the presence of multicomponent domains with varying conductivity character of the phases from insulative PS to poor conductor PANI to highly conductive CNTs. Meanwhile, the tensile modulus and tensile strength are also enhanced significantly up to 55% and 160%, respectively, without much loss of ductility for three phase hybrid nanocomposites as compared to the neat PS. Thereby, the hybrid nanocomposites of PS/PANI/pCNTs become stiffer, stronger and tougher as compared to the neat systems.

关键词： Nanocomposites Carbon nanotubes Dielectric behavior Mechanical properties Polystyrene.

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Bioactivity analysis of the Ta(Ⅴ) doped SiO2–Ca O–Na2O–P2O5 ceramics prepared by solid state sintering method

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Progress in Natural Science:Materials International 2016年第1期26卷 41-48页

作者： Rehana zia Madeeha Riaz Nida ul nasir Farhat Saleemi Zora Kayani Safia Anjum Farooq Bashir Tousif Hussain Department of Physics Lahore College for Women University 2. Government College for Women University 3. CASP Government College

The main objective of the study was to control the degradation rate of material at a higher degradation rate improving the chemical stability of the material. Ta is known to have good chemical resistance, biocompatibility and show no adverse biological response. In the present study, Si O–NaO–Ca O–PObioceramics with different TaOcontents was prepared by solid state sintering method at 1000 °C. The as-sintered ceramics were subjected to immersion studies in stimulated body fluid(SBF) for 21 days under static condition and characterized by XRD, FTIR, SEM, and AAS. The findings of the research indicate that the addition of TaOcontrolled degradability, and all samples showed sufficient bioactivity.

关键词： Crystallization Bioactivity Ta2O5 Degradation rate Bioceramic

Drought Stress Impairs Grain Yield and Quality of Rice Genotypes by Impaired Photosynthetic Attributes and K Nutrition

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Rice science 2020年第1期27卷 5-9页

作者： Muhammad Zahid MUMTAZ Muhammad SAQIB Ghulam ABBAS Javaid AKHTAR zia ul-QAMAR Institute of Soil and Environmental Sciences University of Agriculture Institute of Molecular Biology and Biotechnology The University of Lahore Department of Environmental Sciences COMSATS University Plant Breeding and Genetics Division Nuclear Institute for Agriculture and Biology

Drought is one of the most prevalent abiotic stresses that adversely affect rice productivity(Petrozza et al, 2014). Rice is very sensitive to drought stress and drought can cause 50% reduction in rice production globally(Yang et al, 2008). To meet the food needs for global population, 63% more agricultural production will be required by the year 2050 than.

关键词： drought Yield globally

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Inhibitor tolerance and bioethanol fermentability of levoglucosan-utilizing Escherichia coli were enhanced by overexpression of stress-responsive gene ycfR:The proteomics-guided metabolic engineering

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Synthetic and Systems Biotechnology 2021年第4期6卷 384-395页

作者： Dongdong Chang zia ul Islam Junfang Zheng Jie Zhao Xiaoyong Cui Zhisheng Yu College of Resources and Environment University of Chinese Academy of SciencesBeijing100049PR China Department of Chemistry Mississippi State UniversityMississippi StateMS 39762USA Department of Biochemistry and Molecular Biology School of Basic Medical SciencesCapital Medical UniversityBeijing100069PR China Yanshan Earth Critical Zone and Surface Fluxes Research Station Chinese Academy of SciencesNo.380 Huaibei TownHuairou DistrictBeijing101408PR China RCEES-IMCAS-UCAS Joint-Lab of Microbial Technology for Environmental Science Beijing100085PR China

Pretreatment of lignocellulosic biomass is crucial for the release of biofermentable sugars for biofuels production,which could greatly alleviate the burgeoning environment and energy crisis caused by the massive usage of traditional fossil *** is a cost-saving pretreatment process that can readily decompose biomass into levoglucosan,a promising anhydrosugar;however,many undesired toxic compounds inhibitory to downstream microbial fermentation are also generated during the pyrolysis,immensely impeding the bioconversion of levoglucosan-containing ***,we took the first insight into the proteomic responses of a levoglucosan-utilizing and ethanol-producing Escherichia coli to three representative biomass-derived inhibitors,identifying large amounts of differentially expressed proteins(DEPs)that could guide the downstream metabolic engineering for the development of inhibitor-resistant *** up-and eight down-regulated DEPs were further identified as the biomarker stress-responsive proteins candidate for cellular tolerance to multiple *** these biomarker proteins,YcfR exhibiting the highest expression fold-change level was chosen as the target of overexpression to validate proteomics results and develop robust strains with enhanced inhibitor tolerance and fermentation ***,based on four plasmid-borne genes encoding the levoglucosan kinase,pyruvate decarboxylase,alcohol dehydrogenase,and protein YcfR,a new recombinant strain *** LGE-ycfR was successfully created,showing much higher acetic acid-,furfural-,and phenol-tolerance levels compared to the control without overexpression of *** specific growth rate,final cell density,ethanol concentration,ethanol productivity,and levoglucosan consumption rate of the recombinant were also remarkably *** the proteomics-guided metabolic engineering and phenotypic observations,we for the first time corroborated that YcfR is a stress-induced protein responsi

关键词： Lignocellulosic biomass Levoglucosan Inhibitor Proteomics Gene overexpression Bioethanol

Weed growth, herbicide efficacy, and rice productivity in dry seeded paddy field under different wheat stubble management methods

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Journal of Integrative Agriculture 2019年第4期18卷 907-926页

作者： Muhammad zia-ul-Haq Abdul Khaliq Qiang Sheng Amar Matloob Saddam Hussain Saba Fatima Zeshan Aslam Department of Agronomy University of AgricultureFaisalabad Weed Research Laboratory College of Life Sciences Nanjing Agricultural University Department of Agronomy Muhammad Nawaz Shareef University of Agriculture Department of Economics National College of Business Administration and Economics Pesticide Residue Laboratory Kala Shah Kaku Institute of Soil Chemistry and Environmental Sciences Government of Punjab

To ascertain the influence of wheat stubble management options and chemical weed control methods on weed growth and productivity of dry direct-seeded fine rice, a two years' field study was undertaken at the Agronomic Research Farm, University of Agriculture, Faisalabad, Pakistan in 2013 and 2014. Different wheat stubble management methods, viz., incorporation, burning and retention were executed during seed-bed preparation. While, herbicide treatments comprised of a weed check, weed free, pendimethalin followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl, and bispyribac sodium followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl. Results revealed that weed control efficacy of both herbicide treatments ranged from 84 to 94%. Herbicide treatments significantly reduced weed density(88–90%) and dry weight(86–88%), while improved the rice growth attributes compared with weed check. Application of bispyribac sodium followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl in stubble retention recorded 226 and 273% increase in kernel yield over weedy check in 2013 and 2014, respectively. In stubble incorporation, pendimethalin followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl was more effective in increasing(256–293%) rice yields over weedy check. Among different treatment combinations, the maximum net benefits(1 397.49^(–1) 472.22 USD ha^(–1)), net returns(636–700 USD ha^(–1)), benefit cost ratio(1.77^(–1).83) and marginal rate of return(2 187–2 330%) were recorded with the application of bispyribac sodium followed by fenoxaprop p-ethyl+ethoxysulfuron ethyl in stubble retention. In crux, application of bispyribac sodium followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl in stubble retention is efficient approach to control weeds, and get maximum rice productivity and net economic returns under dry seeded system.

关键词： herbicide mixture weedy check stubble management weeds density and dry weight DSR

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Understanding the Language of ISIS:An Empirical Approach to Detect Radical Content on Twitter Using Machine Learning

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Computers, Materials & Continua 2021年第2期66卷 1075-1090页

作者： zia ul Rehman Sagheer Abbas Muhammad Adnan Khan Ghulam Mustafa Hira Fayyaz Muhammad Hanif Muhammad Anwar Saeed School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences Bahria UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Systems and Technology University of Management and TechnologyLahore54000Pakistan Department of CS&IT Virtual University of PakistanLahore54000Pakistan

The internet,particularly online social networking platforms have revolutionized the way extremist groups are influencing and radicalizing *** research reveals that the process initiates by exposing vast audiences to extremist content and then migrating potential victims to confined platforms for intensive ***,social networks have evolved as a persuasive tool for extremism aiding as recruitment platform and psychological ***,recognizing potential radical text or material is vital to restrict the circulation of the extremist *** aim of this research work is to identify radical text in social *** contributions are as follows:(i)A new dataset to be employed in radicalization detection;(ii)In depth analysis of new and previous datasets so that the variation in extremist group narrative could be identified;(iii)An approach to train classifier employing religious features along with radical features to detect radicalization;(iv)Observing the use of violent and bad words in radical,neutral and random groups by employing violent,terrorism and bad words *** research results clearly indicate that incorporating religious text in model training improves the accuracy,precision,recall,and F1-score of the *** a variation in extremist narrative has been observed implying that usage of new dataset can have substantial effect on classifier *** addition to this,violence and bad words are creating a differentiating factor between radical and random users but for neutral(anti-ISIS)group it needs further investigation.

关键词： Radicalization extremism machine learning natural language processing twitter text mining

Deep Learning-Based Digital Image Forgery Detection Using Transfer Learning

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Intelligent Automation & Soft Computing 2023年第12期38卷 225-240页

作者： Emad ul Haq Qazi Tanveer zia Muhammad Imran Muhammad Hamza Faheem Center of Excellence in Cybercrimes and Digital Forensics(CoECDF) Naif Arab University for Security Sciences(NAUSS)Riyadh14812Saudi Arabia School of Engineering Information Technology and Physical SciencesFederation UniversityBrisbaneQLD 4000Australia

Deep learning is considered one of the most efficient and reliable methods through which the legitimacy of a digital image can be *** the current cyber world where deepfakes have shaken the global community,confirming the legitimacy of a digital image is of great *** the advancements made in deep learning techniques,now we can efficiently train and develop state-of-the-art digital image forensic *** most traditional and widely used method by researchers is convolution neural networks(CNN)for verification of image authenticity but it consumes a considerable number of resources and requires a large dataset for ***,in this study,a transfer learning based deep learning technique for image forgery detection is *** proposed methodology consists of three modules namely;preprocessing module,convolutional module,and the classification *** using our proposed technique,the training time is drastically reduced by utilizing the pre-trained *** performance of the proposed technique is evaluated by using benchmark datasets,i.e.,BOW and BOSSBase that detect five forensic types which include JPEG compression,contrast enhancement(CE),median filtering(MF),additive Gaussian noise,and *** evaluated the performance of our proposed technique by conducting various experiments and case scenarios and achieved an accuracy of 99.92%.The results show the superiority of the proposed system.

关键词： Image forgery transfer learning deep learning BOW dataset BOSSBase dataset