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| 1 | Identification of key gene networks controlling organic acid and sugar metabolism during watermelon fruit development by integrating metabolic phenotypes and gene expression profiles显示文摘The organoleptic qualities of watermelon fruit are defined by the sugar and organic acid contents,which undergo considerable variations during development and maturation.The molecular mechanisms underlying these variations remain unclear.In this study,we used transcriptome profiles to investigate the coexpression patterns of gene networks associated with sugar and organic acid metabolism.We identified 3 gene networks/modules containing 2443 genes highly correlated with sugars and organic acids.Within these modules,based on intramodular significance and Reverse Transcription Quantitative polymerase chain reaction(RT-qPCR),we identified 7 genes involved in the metabolism of sugars and organic acids.Among these genes,Cla97C01G000640,Cla97C05G087120 and Cla97C01G018840(r^(2)=0.83 with glucose content)were identified as sugar transporters(SWEET,EDR6 and STP)and Cla97C03G064990(r^(2)=0.92 with sucrose content)was identified as a sucrose synthase from information available for other crops.Similarly,Cla97C07G128420,Cla97C03G068240 and Cla97C01G008870,having strong correlations with malic(r^(2)=0.75)and citric acid(r^(2)=0.85),were annotated as malate and citrate transporters(ALMT7,CS,and ICDH).The expression profiles of these 7 genes in diverse watermelon genotypes revealed consistent patterns of expression variation in various types of watermelon.These findings add significantly to our existing knowledge of sugar and organic acid metabolism in watermelon. | Muhammad Jawad Umer Luqman Bin Safdar Haileslassie Gebremeskel Shengjie Zhao Pingli Yuan Hongju Zhu M.O.Kaseb Muhammad Anees Xuqiang Lu Nan He Chengsheng Gong Wenge Liu | 2020 | Horticulture Research2020，7，1： | 4 |
| 2 | 黏籽西瓜、籽瓜和普通西瓜的植物学性状比较分析显示文摘西瓜属于葫芦科的重要水果作物,栽培类型丰富多样,其中黏籽西瓜、籽瓜和普通西瓜是被人类栽培和食用的主要类型,但是这3种类型西瓜的植物学性状差异并没有被系统调查过。针对18份黏籽西瓜、38份籽瓜、174份普通西瓜品种的14个植物学性状进行调查和统计分析,结果显示,供试西瓜品种的植物学性状变异范围大,不同性状在3种类型西瓜之间的差异显著,籽瓜和黏籽西瓜的表型更相似。系统聚类和PCA分析可以将3种类型的西瓜品种基本区分开来,籽瓜介于黏籽西瓜和普通西瓜之间。该研究结果有助于充分了解和利用西瓜种质资源,能够为培育理想株型和优质的西瓜新品种提供科学依据。 | 袁平丽 龚成胜 何楠 刁卫楠 Muhammad Jawad Umer 朱红菊 杨东东 Muhammad Anees 路绪强 Kaseb M O 赵胜杰 刘文革 | 2021 | 中国瓜菜2021，34，9： | 2 |
| 3 | Ret- rope ritonealapproach to abdominal aortic aneurysm repair preserves splanchnicperfusion as measured by gastric tonometry 显示文摘 | Nityanand Arya Muhammad Anees Sharif Luk Louis Lau | 2010 | Annals of Vascular Surgery2010，24，3： | 1 |
| 4 | Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates显示文摘With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades,social media platforms(such as Facebook,Twitter,and Instagram)have consumed a large proportion of time in our daily lives.People tend to stay alive on their social media with recent updates,as it has become the primary source of interactionwithin social circles.Although social media platforms offer several remarkable features but are simultaneously prone to various critical vulnerabilities.Recent studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression,anxiety,suicide commitment,and mental disorder,particularly in the young adults who have excessively spent time on socialmedia which necessitates a thorough psychological analysis of all these platforms.This study aims to exploit machine learning techniques for the classification of psychotic issues based on Facebook status updates.In this paper,we start with depression detection in the first instance and then expand on analyzing six other psychotic issues(e.g.,depression,anxiety,psychopathic deviate,hypochondria,unrealistic,and hypomania)commonly found in adults due to extreme use of social media networks.To classify the psychotic issues with the user’s mental state,we have employed different Machine Learning(ML)classifiers i.e.,Random Forest(RF),Support Vector Machine(SVM),Naïve Bayes(NB),and K-Nearest Neighbor(KNN).The used ML models are trained and tested by using different combinations of features selection techniques.To observe themost suitable classifiers for psychotic issue classification,a cost-benefit function(sometimes termed as‘Suitability’)has been used which combines the accuracy of the model with its execution time.The experimental evidence argues that RF outperforms its competitor classifiers with the unigram feature set. | Mubashir Ali Anees Baqir Hafiz Husnain Raza Sherazi Asad Hussain Asma Hassan Alshehri Muhammad Ali Imran | 2022 | Computers, Materials & Continua2022，，8： | 1 |
| 5 | Genetic analysis of peste des petits ruminants virus from Pakistan 显示文摘 | Anees M Shabbir M Z Muhammad K | 2013 | BMC Vet Res2013，9，1： | 1 |
| 6 | Retroperitoneal approach to abdominal aortic aneurysm repair preserves splanchnic perfusion as measured by gastric tonometry显示文摘 | Nityanand Arya Muhammad Anees Sharif Luk Louis Lau et ai | 2010 | Annals of Vascular Surgery2010，24，： | 1 |
| 7 | First report on molecular characterization of Leishmania species from cutaneous leishmaniasis patients in southern Khyber Pakhtunkhwa province of Pakistan显示文摘Objective: To report presence of Leishmania major in Khyber Pakhtunkhwa of Pakistan, where cutaneous leishmaniasis(CL) is endemic and was thought to be caused by Leishmania tropica only. Methods: Biopsy samples from 432 CL suspected patients were collected from 3 southern districts of Khyber Pakhtunkhwa during years 2011–2016. Microscopy on Giemsa stained slides were done followed by amplification of the ribosomal internal transcribed spacer 1 gene. Results: Leishmania amastigotes were detected by microscopy in 308 of 432 samples(71.3%) while 374 out of 432 samples(86.6%) were positive by ribosomal internal transcribed spacer 1 PCR. Subsequent restriction fragment length polymorphism confirmed Leishmania tropica in 351 and Leishmania major in 6 biopsy samples. Conclusions: This study is the first molecular characterization of Leishmania species in southern Khyber Pakhtunkhwa. It confirmed the previous assumptions that anthroponotic CL is the major CL form present in Khyber Pakhtunkhwa province. Furthermore, this is the first report of Leishmania major from a classical anthroponotic CL endemic focus identified in rural areas of Kohat district in southern Khyber Pakhtunkhwa. | Mubbashir Hussain Shahzad Munir Sultan Ayaz Bahar Ullah Khattak Taj Ali Khan Niaz Muhammad Muhammad Anees Hazir Rahman Muhammad Qasim Muhammad Ameen Jamal Irfan Ahmed Kashif Rahim Humaira Mazhar Noha Watanay Mohamed Kasbari | 2017 | Asian Pacific Journal of Tropical Medicine2017，10，7： | 1 |
| 8 | Bacterial Spectrum and Antimicrobial Profile of Pediatric Blood Stream Infection at a Tertiary Care Hospital in Pakistan显示文摘Objectives Blood stream infections(BSIs)are the main cause of morbidity and mortality in children worldwide.The present study was carried out to determine the prevalence of BSI with a focus on the identification of the causative agent of BSI,and to further evaluate the antibiotic susceptibility profile of the causing bacterial pathogens.Methods A cross-section study was carried out at the tertiary care hospital in Peshawar,Pakistan from January to December,2018.Blood samples were collected in BACTEC™botdes and standard microbiological protocols were applied for the isolation and identification of bacterial strains.The antibiotic susceptibility tests were performed using disc diffusion method as per the 2014 guideline of Clinical Laboratory Standard Institute(CLSI).Results Of 567 blood cultures in total,111(19.6%)were positive for BSI.Male children were 64%(71/111)and female children were 36%(40/111).For the causative predominant group of microorganisms,Gramnegative bacteria were identified in 79(71.1%)isolates,and Gram-positive bacteria in 32(28.9%)isolates.The common bacteria of isolates were S.typhi(n=35,31.5%),E.coli(n=19,17.1%),S.aureus(n=18,16.2%),K.pneumonia(n=12,10.8%),and Enterococcus species(n=7,6.3%).The 36.7%(29/79)isolates of Gram-negative bacteria were ESBL producers,and 61.1%(11/18)of S.aureus isolates were methicillin resistant.Overall,72.9%isolates were multidrug resistant.Conclusions Gram-negative bacteria were the main cause of pediatric BSIs,where the predominant microorganism was S.卯hi.Remarkably,majority of the S.typhi isolates were resistant to ciprofloxacin. | Anees Muhammad Sadiq Noor Khan Tahir Jamal Irshad Ul Haq Abdul Jabbar Ihsan Ali | 2020 | Chinese Medical Sciences Journal2020，35，4： | 0 |
| 9 | Blockchain Based Enhanced ERP Transaction Integrity Architecture and PoET Consensus显示文摘Enterprise Resource Planning(ERP)software is extensively used for the management of business processes.ERP offers a system of integrated applications with a shared central database.Storing all business-critical information in a central place raises various issues such as data integrity assurance and a single point of failure,which makes the database vulnerable.This paper investigates database and Blockchain integration,where the Blockchain network works in synchronization with the database system,and offers a mechanism to validate the transactions and ensure data integrity.Limited research exists on Blockchain-based solutions for the single point of failure in ERP.We established in our study that for concurrent access control andmonitoring of ERP,private permissioned Blockchain using Proof of Elapsed Time consensus is more suitable.The study also investigated the bottleneck issue of transaction processing rates(TPR)of Blockchain consensus,specifically ERP’s TPR.The paper presents systemarchitecture that integrates Blockchain with an ERP system using an application interface. | Tehreem Aslam Ayesha Maqbool Maham Akhtar Alina Mirza Muhammad Anees Khan Wazir Zada Khan Shadab Alam | 2022 | Computers, Materials & Continua2022，，1： | 0 |
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