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| 1 | Is it time to replace propranolol with carvedilol for portal hypertension?显示文摘Beta-adrenergic receptor antagonists(β-blockers) have been well established for use in portal hypertension for more than three decades. Different Non-selective β-blockers like propranolol, nadolol, timolol, atenolol, metoprolol and carvedilol have been in clinical practice in patients with cirrhosis. Carvedilol has proven 2-4 times more potent than propranolol as a beta-receptor blocker in trials conducted testing its efficacy for heart failure. Whether the same effect extends to its potency in the reduction of portal venous pressures is a topic of on-going debate. The aim of this review is to compare the hemodynamic and clinical effects of carvedilol with propranolol, and attempt assess whether carvedilol can be used instead of propranolol in patients with cirrhosis. Carvedilol is a promising agent among the beta blockers of recent time that has shown significant effects in portal hypertension hemodynamics. It has also demonstrated an effective profile in its clinical application specifically for the prevention of variceal bleeding. Carvedilol has more potent desired physiological effects when compared to Propranolol. However, it is uncertain at the present juncture whether the improvement in hemodynamics also translates into a decreased rate of disease progression and complications when compared to propranolol. Currently Carvedilol shows promise as a therapy for portal hypertension but more clinical trials need to be carried out before we can consider it as a superior option and a replacement for propranolol. | Shahab Abid Saadat Ali Muhammad Asif Baig Anam Akbar Waheed | 2015 | World Journal of Gastrointestinal Endoscopy2015，7，5： | 13 |
| 2 | 潜伏期和染病期均具有传染性的媒介传染病模型的全局稳定性分析(英文)显示文摘讨论潜伏期和染病期均具有传染性的媒介传染病模型.得到模型基本再生数的表达式,证明了当基本再生数小于1时,无病平衡点是全局渐近稳定的,此时疾病消亡;当基本再生数大于1时,无病平衡点是不稳定的,系统存在全局渐近稳定的地方病平衡点,此时,疾病将在人群中持续存在,数值模拟验证了理论结果. | Abid Ali Lashari Muhammad Ozair Gul Zaman 李学志 | 2012 | 应用泛函分析学报2012，14，4： | 5 |
| 3 | DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants显示文摘Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement in plants.Traditional methods typically use linear regression models with clear assumptions;such methods are unable to capture the complex relationships between genotypes and phenotypes.Non-linear models(e.g.,deep neural networks)have been proposed as a superior alternative to linear models because they can capture complex non-additive effects.Here we introduce a deep learning(DL)method,deep neural network genomic prediction(DNNGP),for integration of multi-omics data in plants.We trained DNNGP on four datasets and compared its performance with methods built with five classic models:genomic best linear unbiased prediction(GBLUP);two methods based on a machine learning(ML)framework,light gradient boosting machine(LightGBM)and support vector regression(SVR);and two methods based on a DL framework,deep learning genomic selection(DeepGS)and deep learning genome-wide association study(DLGWAS).DNNGP is novel in five ways.First,it can be applied to a variety of omics data to predict phenotypes.Second,the multilayered hierarchical structure of DNNGP dynamically learns features from raw data,avoiding overfitting and improving the convergence rate using a batch normalization layer and early stopping and rectified linear activation(rectified linear unit)functions.Third,when small datasets were used,DNNGP produced results that are competitive with results from the other five methods,showing greater prediction accuracy than the other methods when large-scale breeding data were used.Fourth,the computation time required by DNNGP was comparable with that of commonly used methods,up to 10 times faster than DeepGS.Fifth,hyperparameters can easily be batch tuned on a local machine.Compared with GBLUP,LightGBM,SVR,DeepGS and DLGWAS,DNNGP is superior to these existing widely used genomic selection(GS)methods.Moreover,DNNGP can generate robust assessments from diverse datasets,including omics data,and quickly incorporate complex and large datasets into usable models,making it a promising and practical approach for straightforward integration into existing GS platforms. | Kelin Wang Muhammad Ali Abid Awais Rasheed Jose Crossa Sarah Hearne Huihui Li | 2023 | Molecular Plant2023，16，1： | 3 |
| 4 | Why more research needs to be done on echinococcosis in Pakistan显示文摘Background:Echinococcosis has a worldwide geographical distribution with endemic foci on every inhabited continent.Due to the frequent outbreaks in different parts of Pakistan in the recent past,echinococcosis is being described as a neglected tropical disease and is considered one of the most neglected parasitic diseases in the country.In endemic regions,predominantly settings with limited resources,there are high numbers of echinococcosis patients,as these communities do not have access to appropriate treatment.In Pakistan,there are limited reports on echinococcosis.The disease is prevalent in human and livestock,but this has not been sufficiently explored yet.Pakistan is an agricultural country and due to the disease’s zoonotic mode of transmission,there is a dire need of future research on it.The present paper is an effort to highlight the importance of echinococcosis in Pakistan.Discussion:There is a dire need for future research on echinococcosis in Pakistan as very few investigations had been carried out on this topic thus far.The prevalence of the disease in neighbouring countries highlights that Pakistan might be at severe risk of this zoonotic infection and further supports the need for more research.In Pakistan,the majority of the population lives in rural areas with limited acess to proper hygienic/sanitary facilities.These conditions favour the outbreak of diseases such as echinococcosis.The limited available data could result in higher outbreaks in the future,and thus cause the already weak healthcare system to overburden.The country has a meagre annual budget for health,which is being spent on known infections such as polio,dengue fever and hepatic viral infections.A proper surveillance system for echinococcosis is required across the country as treatment is usually expensive,complicated and may require extensive surgery and/or prolonged drug therapy.Development of new/novel drugs and other treatment modalities receives very little,if any,attention.Prognostic awareness programmes against this infection involve deworming of the infected animals,improved food inspection and slaughterhouse hygiene,and public education campaigns.Conclusion:Future research on echinococcosis is anticipated to demonstrate whether the epidemiology,diagnosis and recombinant vaccines/antibodies relating to echinococcosis can meet the quality standards(purity,potency,safety and efficacy)defined by the World Health Organization.Research work should be carried out on the epidemiology and serodiagnosis of echinocossis in the different areas of Pakistan,which will be useful for the proper eradication of echinococcosis in this region.The health department should implement awareness-raising campaigns for the general public in order to reduce the burden of disease. | Haroon Ahmed Shahzad Ali Muhammad Sohail Afzal Abid Ali Khan Hamid Raza Zaheer Hussain Shah Sami Simsek | 2017 | Infectious Diseases of Poverty2017，6，1： | 2 |
| 5 | Development of bis-thiobarbiturates as successful urease inhibitors and their molecular modeling studies显示文摘Bis-thiobarbiturate derivatives 1–15 have been synthesized, characterized by1 HNMR and EI-MS and screened for urease inhibition. All compounds showed various degree of urease inhibitory activity with IC_(50) values ranging 7.45 0.12 74.24 0.81 mmol/L while the standard thiourea behaved normally(IC_(50) = 21.10 0.12). Compounds 1(IC_(50) = 7.45 0.12 μmol/L), 9(IC_(50) = 18.17 1.03 μmol/L) and 13(IC_(50) = 8.61 0.45 μmol/L) showed excellent urease inhibitory activity in the series. Molecular modeling studies were performed to understand the binding site with the bimetallic nickel center of the enzyme.Structure-activity relationship has also been established for these compounds. This study identified bisthiobarbiturate as a novel class of urease inhibitors. | Fazal Rahim Muhammad Ali Shifa Ullah Umer Rashid Hayat Ullah Muhammad Taha Muhammad Tariq Javed Wajid Rehman Aftab Ahmad Khan Obaid Ur Rahman Abid Muhammad Bilal | 2016 | Chinese Chemical Letters2016，27，5： | 2 |
| 6 | Synthesis and characterization of caprolactone based polyurethane with degradable and antifouling performance显示文摘In this work,a degradable polyurethane composed of caprolactone(CL)and L-Lactide(LLA)as soft segments,and 4,40-methylenebis(cyclohexyl isocyanate)(H12 MDI)and polytetramethylene ether glycol(PTMEG)as hard segments,was prepared.Hydrolytic degradation experiment revealed that the degradable polyurethane(PU)could be degraded in artificial seawater.It also showed that caprolactone-copolyurethane(CL-PU)copolymer with higher crystallinity degraded much slower in artificial seawater.However,the introduction of LLA resulted in an increase in the hydrophilicity and reduction in the crystallinity of degradable PU,as demonstrated by the contact angle analysis.The result of the scanning electron microscope showed that the surface of degradable PU renewed under static condition.Moreover,degradable PU was able to be used as a carrier,and it controlled the release rate of 4,5-dichloro-2-octyl-isothiazolone(DCOIT).The anti-diatom(Navicula incerta)test demonstrated that the(caprolactone-co-L-lactide)-co-polyurethane 4(CL/LAx-PU4)with DCOIT contents prevented the adhesion of diatom Navicula incerta(88.37%reduction)due to their self-polishing and the release of antifoulants.Therefore,the degradable PU consisted of CL,LLA,and DCOIT could be a durable resin with good antifouling activity for the application in the marine anti-biofouling field. | Abid Ali Lina Song Jiankun Hu Jingxian Jiang Qingqing Rao Muhammad Shoaib Shah Fahad Yongjie Cai Xiaoli Zhan Fengqiu Chen Qinghua Zhang | 2021 | Chinese Journal of Chemical Engineering2021，34，6： | 2 |
| 7 | Genetic variation in LBL1 contributes to depth of leaf blades lobes between cotton subspecies, Gossypium barbadense and Gossypium hirsutum显示文摘Leaf is a essential part of the plants for photosynthetic activities which mainly economize the resources for boll heath. Significant variations of leaf shapes across the Gossypium sp. considerably influence the infiltration of sunlight for photosynthesis. To understand the genetic variants and molecular processes underlying for cotton leaf shape, we used F_2 population derived from upland cotton genotype P30 A(shallow-lobed leaf) and sea-island cotton genotype ISR(deeplobed leaf) to map leaf deep lobed phenotype controlling genes LBL1 and LBL2. Genetic analysis and localization results have unmasked the position and interaction between both loci of LBL1 and LBL2, and revealed the co-dominance impact of the genes in regulating depth of leaf blades lobes in cotton. LBL1 had been described as a main gene and member of transcription factor family leucine zipper(HD-ZIPI) from a class I homologous domain factor Gorai.002 G244000. The qRT-PCR results elaborated the continuous change in expression level of LBL1 at different growth stages and leaf parts of cotton. Higher expression level was observed in mature large leaves followed by medium and young leaves respectively. For further confirmation, plants were tested from hormonal induction treatments, which explained that LBL1 expression was influenced by hormonal signaling. Moreover, the highest expression level was detected in brassinolides(BR) treatment as compared to other hormones, and this hormone plays an important role in the process of leaf blade lobed formation. | HE Dao-fang ZHAO Xiang LIANG Cheng-zhen ZHU Tao Muhammad Ali Abid CAI Yong-ping HE Jin-ling ZHANG Rui | 2018 | Journal of Integrative Agriculture2018，17，11： | 2 |
| 8 | In vivo laxative, anti-diarrheal, hepatoprotective and diuretic investigations of Sterculia diversifolia and its isolated compounds显示文摘OBJECTIVE:To investigated the laxative,anti-diarrheal,hepatoprotective and diuretic activity of Sterculia diversifolia and its isolated compounds.METHODS:The laxative activity was studied by counting wet stools while anti-diarrheal activity was performed by measuring gastrointestinal tract motility.Hepatoprotective activity was studied by biochemical and histo-pathological analysis while diuretic activity was performed by urine collection protocol.RESULTS:Doses of 30 and 100 mg/kg of crude methanolic extract of Sterculia diversifolia(MESD)stem bark and leaves,significantly(P<0.05,P<0.01)produced wet feces in subjects pretreated with atropine while 8-hydroxyquercetin and dihydroquercetin showed highly significant(P<0.001)results by increasing fecal weight and water contents without producing diarrhea.MESD stem bark and leaves also dose-dependently lowered diar-rhea while 8-hydroxyquercetin and dihydroquercetin showed highly significant(P<0.001)results by producing shaped stools in mice.MESD,8-hydroxyquercetin and dihydroquercetin offered significant protection against histopathological changes in the liver.Diuretic activity of Crude MESD stem bark and leaves extracts shows highly significant diuretic effect while dihydroquercetin showed better results than 8-hydroxyquercetin.CONCLUSION:It is concluded that Sterculia diversifolia and its isolated compounds bears laxative,anti-diarrheal,hepatoprotective and diuretic effects. | Fazle Rabbi Amir Zada Amna Nisar Muhammad Sohail Saifullah Khan Khalil Abid Ali Ahmad | 2021 | Journal of Traditional Chinese Medicine2021，41，5： | 2 |
| 9 | Enhanced texture,yield and safety of a ready-to-eat salted duck meat product using a high pressure-heat process显示文摘 | MUHAMMAD AMMAR KHAN SHER ALI MUHAMMAD ABID | 2014 | Innovative Food Science&Emerging Technologies2014，21，： | 1 |
| 10 | Genotyping of HCV RNA Reveals That 3a Is the Most Prevalent Genotype in Mardan, Pakistan显示文摘 | Sajid Ali Ayaz Ahmad Raham Sher Khan Sanaullah Khan Muhammad Hamayun Sumera Afzal Khan Amjad Iqbal Abid Ali Khan Abdul Wadood Taj Ur Rahman Ali Hydar Baig Jay C. Brown | 2014 | Advances in Virology2014，，： | 1 |
| 11 | Call Census,Habitat Suitability Modeling,and Local Communities’Perceptions for the Conservation of a Globally Threatened Avian Flagship Species显示文摘The Western tragopan(Tragopan melanocephalus)is recorded in the IUCN Red List of 2017 as a vulnerable bird species in Pakistan.This study provides valuable information for the conservation of Western tragopan,which is a globally threatened avian flagship species in Pakistan.This study was conducted to investigate and resolve the conservation challenges surrounding the species in two major habitat zones-Salkhala Game Reserve and Machiara National Park.The study was implemented in May-June 2020 for population density using call count data.Also,questionnaire was used for local residents’perceptions and habitat suitability modeling map was generated using the MaxEnt model based on previously recorded occurrence points as well as recorded in the survey.A total of 26 western Tragopans were identified by call count during the sampling period.Moreover,about 77.3%cited Western Tragopan they more likely to hunt while the remaining 22.6%locals recorded other pheasant.About 45.3%of this hunting for fun but only 22%for economic values and only 3%of people consider hunting as a part of their culture.Results of modeling habitat suitability of the Western tragopan showed that the species suitable habitats are small and patchy in Pakistan.We found that the Normalized Difference Vegetation Index(NDVI)with 40.6 percent contribution was the most important variable in shaping the species distribution.Our model identified some new suitable patches which can be the target of future field monitoring for finding new populations of the species and future conservation planning. | Abid Ali Iftikhar Uz Zaman Abbas Khan Masoud Yousefi Zahid Ali Muhammad Numan Khan | 2022 | Journal of Zoological Research2022，4，1： | 0 |
| 12 | Effects of Convolvulus arvensis Water Extract on Germination of Okra Under Different Seed Sizes显示文摘Convolvulus arvensis is a toxic allelopathic weed that suppresses germination and growth of crops.The prime object of present study was to investigate effect of Convolvulus arvensis water extract on germination and performance of okra with different seed sizes.The seeds of okra variety pusa green were separated into three different sizes,viz large size(4.00-5.00 mm),medium size(3.00-3.50 mm)and small size(2.00-3.50 mm),and then soaked in allelopathic plant bindweed water extract and kept in patrisdishes for germination into the germinator at 15℃.The experiment was laid out using Complete Randomized Design(CRD)with three replications.The results showed that after sowing of 12 days the highest germination was observed in non-treated seeds as compared to seeds treated in Convolvulus arvensis water extract for 1 h,further non-treated large seeds produced maximum plants as compared to treated small seeds after sowing of 24 days.Meanwhile,root length,shoot length,root fresh and dry weight,shoot fresh and dry weight were recorded higher in non-treated large seeds as compared to small seeds soaked for 1 h in Convolvulus arvensis allelopthic water extract.It could be found that Convolvulus arvensis affected germination,seed growth and overall performance of okra,further presence Convolvulus arvensis in crops could cause negative impact on germination and integrity of okra crops. | Abid Hussain Khoso Ghulam Mustafa Laghari Aziz Ahmed Laghari Ali Muhammad Bozdar Asif Ali Kaleri Nasir Ali | 2017 | Journal of Northeast Agricultural University(English Edition)2017，24，1： | 0 |
| 13 | Regulatory Genes Through Robust-SNR for Binary Classification Within Functional Genomics Experiments显示文摘The current study proposes a novel technique for feature selection by inculcating robustness in the conventional Signal to noise Ratio(SNR).The proposed method utilizes the robust measures of location i.e.,the“Median”as well as the measures of variation i.e.,“Median absolute deviation(MAD)and Interquartile range(IQR)”in the SNR.By this way,two independent robust signal-to-noise ratios have been proposed.The proposed method selects the most informative genes/features by combining the minimum subset of genes or features obtained via the greedy search approach with top-ranked genes selected through the robust signal-to-noise ratio(RSNR).The results obtained via the proposed method are compared with wellknown gene/feature selection methods on the basis of performance metric i.e.,classification error rate.A total of 5 gene expression datasets have been used in this study.Different subsets of informative genes are selected by the proposed and all the other methods included in the study,and their efficacy in terms of classification is investigated by using the classifier models such as support vector machine(SVM),Random forest(RF)and k-nearest neighbors(k-NN).The results of the analysis reveal that the proposed method(RSNR)produces minimum error rates than all the other competing feature selection methods in majority of the cases.For further assessment of the method,a detailed simulation study is also conducted. | Muhammad Hamraz Dost Muhammad Khan Naz Gul Amjad Ali Zardad Khan Shafiq Ahmad Mejdal Alqahtani Akber Abid Gardezi Muhammad Shafiq | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 14 | Industrial Automation Information Analogy for Smart Grid Security显示文摘Industrial automation or assembly automation is a strictly monitored environment,in which changes occur at a good speed.There are many types of entities in the focusing environment,and the data generated by these devices is huge.In addition,because the robustness is achieved by sensing redundant data,the data becomes larger.The data generating device,whether it is a sensing device or a physical device,streams the data to a higher-level deception device for calculation,so that it can be driven and configured according to the updated conditions.With the emergence of the Industry 4.0 concept that includes a variety of automation technologies,various data is generated through numerous devices.Therefore,the data generated for industrial automation requires unique Information Architecture(IA).IA should be able to satisfy hard real-time constraints to spontaneously change the environment and the instantaneous configuration of all participants.To understand its applicability,we used an example smart grid analogy.The smart grid system needs an IA to fulfill the communication requirements to report the hard real-time changes in the power immediately following the system.In addition,in a smart grid system,it needs to report changes on either side of the system,i.e.,consumers and suppliers configure and reconfigure the system according to the changes.In this article,we propose an analogy of a physical phenomenon.A point charge is used as a data generating device,the streamline of electric flux is used as a data flow,and the charge distribution on a closed surface is used as a configuration.Finally,the intensity changes are used in the physical process,e.g.,the smart grid.This analogy is explained by metaphors,and the structural mapping framework is used for its theoretical proof.The proposed analogy provides a theoretical basis for the development of such information architectures that can represent data flows,definition changes(deterministic and non-deterministic),events,and instantaneous configuration definitions of entities in the system.The proposed analogy provides a mechanism to perform calculations during communication, using a simpleconcept on the closed surface to integrate two-layer cyber-physical systems(computation, communication, and physical process). The proposed analogyis a good candidate for implementation in smart grid security. | Muhammad Asif Ishfaq Ali Shahbaz Ahmad Azeem Irshad Akber Abid Gardezi Fawaz Alassery Habib Hamam Muhammad Shafiq | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 15 | ETL Maturity Model for Data Warehouse Systems:A CMMI Compliant Framework显示文摘The effectiveness of the Business Intelligence(BI)system mainly depends on the quality of knowledge it produces.The decision-making process is hindered,and the user’s trust is lost,if the knowledge offered is undesired or of poor quality.A Data Warehouse(DW)is a huge collection of data gathered from many sources and an important part of any BI solution to assist management in making better decisions.The Extract,Transform,and Load(ETL)process is the backbone of a DW system,and it is responsible for moving data from source systems into the DW system.The more mature the ETL process the more reliable the DW system.In this paper,we propose the ETL Maturity Model(EMM)that assists organizations in achieving a high-quality ETL system and thereby enhancing the quality of knowledge produced.The EMM is made up of five levels of maturity i.e.,Chaotic,Acceptable,Stable,Efficient and Reliable.Each level of maturity contains Key Process Areas(KPAs)that have been endorsed by industry experts and include all critical features of a good ETL system.Quality Objectives(QOs)are defined procedures that,when implemented,resulted in a high-quality ETL process.Each KPA has its own set of QOs,the execution of which meets the requirements of that KPA.Multiple brainstorming sessions with relevant industry experts helped to enhance the model.EMMwas deployed in two key projects utilizing multiple case studies to supplement the validation process and support our claim.This model can assist organizations in improving their current ETL process and transforming it into a more mature ETL system.This model can also provide high-quality information to assist users inmaking better decisions and gaining their trust. | Musawwer Khan Islam Ali Shahzada Khurram Salman Naseer Shafiq Ahmad Ahmed T.Soliman Akber Abid Gardezi Muhammad Shafiq Jin-Ghoo Choi | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 16 | Infectious causes of fever of unknown origin in developing countries: An international ID-IRI study显示文摘Background:Fever of unknown origin(FUO)in developing countries is an important dilemma and further research is needed to elucidate the infectious causes of FUO.Methods:A multi-center study for infectious causes of FUO in lower middle-income countries(LMIC)and lowincome countries(LIC)was conducted between January 1,2018 and January 1,2023.In total,15 participating centers from seven different countries provided the data,which were collected through the Infectious DiseasesInternational Research Initiative platform.Only adult patients with confirmed infection as the cause of FUO were included in the study.The severity parameters were quick Sequential Organ Failure Assessment(qSOFA)≥2,intensive care unit(ICU)admission,vasopressor use,and invasive mechanical ventilation(IMV).Results:A total of 160 patients with infectious FUO were included in the study.Overall,148(92.5%)patients had community-acquired infections and 12(7.5%)had hospital-acquired infections.The most common infectious syndromes were tuberculosis(TB)(n=27,16.9%),infective endocarditis(n=25,15.6%),malaria(n=21,13.1%),brucellosis(n=15,9.4%),and typhoid fever(n=9,5.6%).Plasmodium falciparum,Mycobacterium tuberculosis,Brucellae,Staphylococcus aureus,Salmonella typhi,and Rickettsiae were the leading infectious agents in this study.A total of 56(35.0%)cases had invasive procedures for diagnosis.The mean qSOFA score was 0.76±0.94{median(interquartile range[IQR]):0(0–1)}.ICU admission(n=26,16.2%),vasopressor use(n=14,8.8%),and IMV(n=10,6.3%)were not rare.Overall,38(23.8%)patients had at least one of the severity parameters.The mortality rate was 15(9.4%),and the mortality was attributable to the infection causing FUO in 12(7.5%)patients.Conclusions:In LMIC and LIC,tuberculosis and cardiac infections were the most severe and the leading infections causing FUO. | Hakan Erdem Jaffar AAl-Tawfiq Maha Abid Wissal Ben Yahia George Akafity Manar Ezzelarab Ramadan Fatma Amer Amani El-Kholy Atousa Hakamifard Bilal Ahmad Rahimi Farouq Dayyab Hulya Caskurlu Reham Khedr Muhammad Tahir Lysien Zambrano Mumtaz Ali Khan Aun Raza Nagwa Mostafa El-Sayed Magdalena Baymakova Aysun Yalci Yasemin Cag Umran Elbahr Aamer Ikram | 2024 | Journal of Intensive Medicine2024，4，1： | 0 |
| 17 | Automated Speech Recognition System to Detect Babies’ Feelings through Feature Analysis显示文摘Diagnosing a baby’s feelings poses a challenge for both doctors and parents because babies cannot explain their feelings through expression or speech.Understanding the emotions of babies and their associated expressions during different sensations such as hunger,pain,etc.,is a complicated task.In infancy,all communication and feelings are propagated through cryspeech,which is a natural phenomenon.Several clinical methods can be used to diagnose a baby’s diseases,but nonclinical methods of diagnosing a baby’s feelings are lacking.As such,in this study,we aimed to identify babies’feelings and emotions through their cry using a nonclinical method.Changes in the cry sound can be identified using our method and used to assess the baby’s feelings.We considered the frequency of the cries from the energy of the sound.The feelings represented by the infant’s cry are judged to represent certain sensations expressed by the child using the optimal frequency of the recognition of a real-world audio sound.We used machine learning and artificial intelligence to distinguish cry tones in real time through feature analysis.The experimental group consisted of 50%each male and female babies,and we determined the relevancy of the results against different parameters.This application produced real-time results after recognizing a child’s cry sounds.The novelty of our work is that we,for the first time,successfully derived the feelings of young children through the cry-speech of the child,showing promise for end-user applications. | Sana Yasin Umar Draz Tariq Ali Kashaf Shahid Amna Abid Rukhsana Bibi Muhammad Irfan Mohammed A.Huneif Sultan A.Almedhesh Seham M.Alqahtani Alqahtani Abdulwahab Mohammed Jamaan Alzahrani Dhafer Batti Alshehri Alshehri Ali Abdullah Saifur Rahman | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 18 | Giardiasis in patients with dyspeptic symptoms显示文摘AIM: To investigate the prevalence of giardiasis in patients with dyspeptic symptoms.METHODS: Clinical records of consecutive patients who attended Gastroenterology Department at Aga Khan University Hospital from January 2000 to June 2003 and had esophagogastroduodenoscopy (EGD) with duodenal biopsies and international classification of diseases 9th revision with clinical modifications (ICD-9-CM) coded with giardiasis were studied.RESULTS: Two hundred and twenty patients fulfilled the above criteria. There were 44% (96/220) patients who were giardiasis positive, 72% (69/96) of them were males and 28% (27/96) of them were females.There were 65% (81/124) males and 35% (43/124)females who were giardiasis negative. The mean age of patients with giardiasis was 28±17 years, while that of giardiasis negative patients was 40±18 years (P<0.001).In patients with giardiasis, abdominal pain was present in 71% (68/96) of patients (P = 0.02) and diarrhea in 29% (28/96) (P = 0.005); duodenitis in 25% (24/96) on EGD (P = 0.006) and in 68% (65/96) on histopathology (P = 0.002).CONCLUSION: Giardiasis occurs significantly in young people with abdominal pain, while endoscopic duodenitis is seen in only 25% of giardiasis positive cases, which supports routine duodenal biopsy. | Javed Yakoob Wasim Jafri Shahab Abid Nadim Jafri Saeed Hamid Hasnain Ali Shah Lubna Rizvi Muhammad Islam Hizbullah Shaikh | 2005 | World Journal of Gastroenterology2005，11，42： | 0 |
| 19 | Ultra-Low Power Small Size 5.8 GHz RF Transceiver Design for WiMAX/4G Applications显示文摘A state of the art ultra-low power small sized transceiver design has been proposed.This device consists of four blocks,including a frequency synthesizer(FS),a crystal oscillator(XO),transmitter and receiver attached with an antenna.It has been seen that wireless information technology and systems have played a vital role in the transformation of society in different aspects of life.Mobile wireless communications including WiMAX/4G have attracted researchers and developers.WiMAX/4G applications need a transceiver that can be used in the worst channel conditions,but with low power consumption and low input voltage at the 5.8 GHz frequency.The proposed transceiver operates on 1.2 V.The operating frequency,noise figure(NF)and receiver gain are 5.8 GHz,4.0 dB and 90 dB respectively.It is a highly compatible transceiver with all the 4G technologies.Implementation details and results have revealed that the proposed transceiver is much more efficient than the previously proposed transceivers in literature. | Muhammad Yasir Faheem Shuna'n Zhong Abid Ali Minhas Muhammad Basit Azeem | 2019 | Journal of Beijing Institute of Technology2019，28，1： | 0 |
| 20 | Defending Adversarial Examples by a Clipped Residual U-Net Model显示文摘Deep learning-based systems have succeeded in many computer vision tasks.However,it is found that the latest study indicates that these systems are in danger in the presence of adversarial attacks.These attacks can quickly spoil deep learning models,e.g.,different convolutional neural networks(CNNs),used in various computer vision tasks from image classification to object detection.The adversarial examples are carefully designed by injecting a slight perturbation into the clean images.The proposed CRU-Net defense model is inspired by state-of-the-art defense mechanisms such as MagNet defense,Generative Adversarial Net-work Defense,Deep Regret Analytic Generative Adversarial Networks Defense,Deep Denoising Sparse Autoencoder Defense,and Condtional Generattive Adversarial Network Defense.We have experimentally proved that our approach is better than previous defensive techniques.Our proposed CRU-Net model maps the adversarial image examples into clean images by eliminating the adversarial perturbation.The proposed defensive approach is based on residual and U-Net learning.Many experiments are done on the datasets MNIST and CIFAR10 to prove that our proposed CRU-Net defense model prevents adversarial example attacks in WhiteBox and BlackBox settings and improves the robustness of the deep learning algorithms especially in the computer visionfield.We have also reported similarity(SSIM and PSNR)between the original and restored clean image examples by the proposed CRU-Net defense model. | Kazim Ali Adnan N.Qureshi Muhammad Shahid Bhatti Abid Sohail Mohammad Hijji | 2023 | Intelligent Automation & Soft Computing2023，，2： | 0 |
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