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Comprehensive Analysis of Estrogen Receptor 1 Dysregulation in Liver Hepatocellular Carcinoma: Implications for Prognosis and Therapeutic Targeting - A Secondary Publication

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Proceedings of Anticancer Research 2024年第3期8卷 51-59页

作者： syed Hussain raza Yasir Hameed Department of Biochemistry and Biotechnology The Islamia University of BahawalpurBahawalpurPakistan

The study investigates the expression pattern and regulatory mechanisms of estrogen receptor 1 (ESR1) in liver hepatocellular carcinoma (LIHC) through comprehensive bioinformatics analysis. Utilizing UALCAN and GEPIA2 databases, significant down-regulation of ESR1 expression is observed in LIHC samples compared to normal controls, indicating its potential role in tumor progression. Further analysis reveals consistent down-regulation across different clinical variables including patient age, gender, race, and various stages of LIHC, affirming the regulatory role of ESR1 in tumor development and progression. Additionally, promoter methylation analysis demonstrates hypermethylation of ESR1 in LIHC samples, negatively correlating with its expression. This association persists across different clinical parameters, emphasizing the inverse relationship between ESR1 methylation and expression levels. Survival analysis indicates that up- regulation of ESR1 is associated with better overall survival, suggesting its potential as a prognostic biomarker in LIHC. Furthermore, genetic mutation analysis using cBioPortal reveals a spectrum of alterations in ESR1, including amplification, missense mutation, deep deletion, splice mutation, and truncating mutation, highlighting the genetic complexity of ESR1 in LIHC. These findings collectively contribute to a deeper understanding of ESR1 dysregulation in LIHC and its clinical implications as a potential therapeutic target and prognostic marker.

关键词： Estrogen receptor 1 Liver hepatocellular carcinoma Biomarker Prognosis

Formal Modeling of Self-Adaptive Resource Scheduling in Cloud

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Computers, Materials & Continua 2023年第1期74卷 1183-1197页

作者： Atif Ishaq khan syed asad raza k.zmi Awais Qasim Department of Computer Science Government College UniversityLahore54000Pakistan

A self-adaptive resource provisioning on demand is a critical factor in cloud *** selection of accurate amount of resources at run time is not easy due to dynamic nature of ***,a self-adaptive strategy of resources is required to deal with dynamic nature of requests based on run time change in *** this paper we proposed a Cloud-based Adaptive Resource Scheduling Strategy(CARSS)Framework that formally addresses these issues and is more expressive than traditional *** decision making in CARSS is based on more than one ***-k based framework determines the state of the resources based on their current ***-Arc Petri Net(TAPN)is used to model system formally and behaviour is expressed in TCTL,while TAPAAL model checker verifies the underline properties of the system.

关键词： Formal modeling multi-agent self-adaptive cloud computing

Management of distal cholangiocarcinoma with arterial involvement: Systematic review and case series on the role of neoadjuvant therapy

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World Journal of Gastrointestinal Surgery 2024年第8期16卷 2689-2701页

作者： Lewis A Hall Duncan Loader Santiago Gouveia Marta Burak James Halle-Smith Peter Labib Moath Alarabiyat Ravi Marudanayagam Bobby V Dasari keith J Roberts syed S raza Michail Papamichail David C Bartlett Robert P Sutcliffe Nikolaos A Chatzizacharias Department of Hepatopancreatobiliary Surgery and Liver Transplantation University Hospitals Birmingham NHS Foundation TrustBirmingham B152GWUnited Kingdom Institute of Immunology and Immunotherapy University of BirminghamBirmingham B152TTUnited Kingdom College of Medical and Dental Sciences University of BirminghamBirmingham B152TTUnited Kingdom Institute of Clinical Sciences University of BirminghamBirmingham B152TTUnited Kingdom

BACkGROUND The use of neoadjuvant therapy(NAT)in distal cholangiocarcinoma(dCCA)with regional arterial or extensive venous involvement,is not widely accepted and evidence is *** To synthesise evidence on NAT for dCCA and present the experience of a highvolume tertiary-centre managing dCCA with arterial *** A systematic review was performed according to PRISMA guidance to identify all studies reporting outcomes of patients with dCCA who received *** patients from 2017 to 2022 who were referred for NAT for dCCA at our centre were retrospectively collected from a prospectively maintained *** characteristics,NAT type,progression to surgery and oncological outcomes were *** Twelve studies were *** definition of“unresectable”locally advanced dCCA was *** studies reported outcomes for 9 patients who received NAT for dCCA with extensive vascular involvement.R0 resection rate ranged between 0 and 100%but without survival benefit in most *** studies considered either NAT in resectable dCCA or inclusive with extrahepatic *** presented case series includes 9 patients(median age 67,IQR 56-74 years,male:female 5:4)referred for NAT for borderline resectable or locally advanced *** patients progressed to surgery and 2 were *** patient died at 14 months with evidence of recurrence at 6 months and the other died at 51 months following recurrence 6 months *** Evidence for benefit of NAT is *** on criteria for uniform definition of resectability for dCCA is *** propose using the established National-Comprehensive-Cancer-Network®criteria for pancreatic ductal adenocarcinoma.

关键词： Cholangiocarcinoma Neoadjuvant therapy Arterial involvement Locally advanced Systematic review

Influence of Cu doping in Magnesium Hydroxide Nanoparticles for Bandgap Engineering

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Journal of Wuhan University of Technology(Materials Science) 2023年第3期38卷 485-489页

作者： syed Masood raza S NASEEM Shah ADEEL Tahir YASMEEN Bibi Department of Physics Federal Urdu University of ArtsScience&TechnologyKarachiPakistan Department of Chemistry Federal Urdu University of ArtsScience&TechnologyKarachiPakistan

Cu doped Mg(OH)_(2) nanoparticles were synthesized with varying concentrations from 0 to 10%by a chemical synthesis technique of coprecipitation.X-rays diffraction (XRD) of the samples confirms that all the samples acquire the hexagonal crystal *** results indicated the solubility limit of dopant in the host material and the secondary phase of CuO was observed beyond 3%Cu doping in Mg(OH)_(2).The reduction in the size of nanoparticles was observed from 166 to 103 nm for Mg(OH)_(2) and 10% Cu doped Mg(OH)_(2)samples,*** shift in absorption spectra exhibited the systematical enhancement in optical bandgap from 5.25 to 6.085 eV.A good correlation was observed between the bandgap energy and crystallite size of the nanocrystals which confirmed the size induced effect in the *** transformation in the sample morphology was observed from irregular spherical particles to sepals like shapes with increasing the Cu concentration in the host *** energy dispersive X-Ray (EDX) analysis confirmed the purity of mass percentage composition of the elements present in the samples.

关键词： Cu doped Mg(OH)_(2) nanoparticles phase purity optical band gap morphologies

A classification of genes involved in normal and delayed male puberty

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Asian Journal of Andrology 2023年第2期25卷 230-239页

作者： Maleeha Akram syed Shakeel raza Rizvi Mazhar Qayyum David J Handelsman Department of Zoology Wildlife and FisheriesPir Mehr Ali Shah Arid Agriculture University RawalpindiShamsabadMurree RoadRawalpindi 46300Pakistan Andrology Laboratory The ANZAC Research InstituteHospital RoadConcordNSW 2139Australia

Puberty is a pivotal biological process that completes sexual maturation to achieve full reproductive *** is a major transformational period of life,whose timing is strongly affected by genetic makeup of the individual,along with various internal and external *** the exact mechanism for initiation of the cascade of molecular events that culminate in puberty is not yet known,the process of pubertal onset involves interaction of numerous complex signaling pathways of hypothalamopituitary-testicular(HPT)*** developed a classification of the mechanisms involved in male puberty that allowed placing many genes into physiological *** include(i)hypothalamic development during embryogenesis,(ii)synaptogenesis where gonadotropin releasing hormone(GnRH)neurons form neuronal connections with suprahypothalamic neurons,(iii)maintenance of neuron homeostasis,(iv)regulation of synthesis and secretion of GnRH,(v)appropriate receptors/proteins on neurons governing GnRH production and release,(vi)signaling molecules activated by the receptors,(vii)the synthesis and release of GnRH,(viii)the production and release of gonadotropins,(ix)testicular development,(x)synthesis and release of steroid hormones from testes,and(xi)the action of steroid hormones in downstream effector *** in components of this system during embryonic development,childhood/adolescence,or adulthood may disrupt/nullify puberty,leading to long-term male infertility and/or *** review provides a list of 598 genes involved in the development of HPT axis and classified according to this ***,this review identifies a subset of 75 genes for which genetic mutations are reported to delay or disrupt male puberty.

关键词： delayed puberty gonadotropin releasing hormone hypogonadism male puberty puberty testosterone

Intelligent Dynamic Gesture Recognition Using CNN Empowered by Edit Distance

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Computers, Materials & Continua 2021年第2期66卷 2061-2076页

作者： Shazia Saqib Allah Ditta Muhammad Adnan khan syed asad raza k.zmi Hani Alquhayz Department of ComputerScience Lahore Garrison UniversityLahore54000Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54000Pakistan GC University Lahore54000Pakistan Department of Computer Science and Information College of Sciencein ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Human activity detection and recognition is a challenging *** surveillance can benefit greatly by advances in Internet of Things(IoT)and cloud *** intelligence IoT(AIoT)based devices form the basis of a smart *** research presents Intelligent dynamic gesture recognition(IDGR)using a Convolutional neural network(CNN)empowered by edit distance for video *** proposed system has been evaluated using AIoT enabled devices for static and dynamic gestures of Pakistani sign language(PSL).However,the proposed methodology can work efficiently for any type of *** proposed research concludes that deep learning and convolutional neural networks give a most appropriate solution retaining discriminative and dynamic information of the input *** research proposes recognition of dynamic gestures using image recognition of the keyframes based on CNN extracted from the human *** distance is used to find out the label of the word to which those sets of frames belong *** simulation results have shown that at 400 videos per human action,100 epochs,234×234 image size,the accuracy of the system is 90.79%,which is a reasonable accuracy for a relatively small dataset as compared to the previously published techniques.

关键词： Sign languages keyframe edit distance misrate accuracy

Automated File Labeling for Heterogeneous Files Organization Using Machine Learning

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Computers, Materials & Continua 2023年第2期74卷 3263-3278页

作者： Sagheer Abbas syed Ali raza MAkhan Muhammad Adnan khan Atta-ur-Rahman kiran Sultan Amir Mosavi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science GC University LahorePakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Software Pattern Recognition and Machine Learning LabGachon UniversitySeongnam13120Korea Department of Computer Science College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal University(IAU)P.O.Box 1982Dammam31441Saudi Arabia Department of CIT The Applied CollegeKing Abdulaziz UniversityJeddah31261Saudi Arabia John von Neumann Faculty of Informatics Obuda UniversityBudapest1034Hungary Institute of Information Engineering Automation and MathematicsSlovak University of Technology in BratislavaBratislava81107Slovakia Faculty of Civil Engineering TU-DresdenDresden01062Germany

File labeling techniques have a long history in analyzing the anthological trends in computational *** situation becomes worse in the case of files downloaded into systems from the ***,most users either have to change file names manually or leave a meaningless name of the files,which increases the time to search required files and results in redundancy and duplications of user ***,no significant work is done on automated file labeling during the organization of heterogeneous user files.A few attempts have been made in topic ***,one major drawback of current topic modeling approaches is better *** rely on specific language types and domain similarity of the *** this research,machine learning approaches have been employed to analyze and extract the information from heterogeneous corpus.A different file labeling technique has also been used to get the meaningful and`cohesive topic of the *** results show that the proposed methodology can generate relevant and context-sensitive names for heterogeneous data files and provide additional insight into automated file labeling in operating systems.

关键词： Automated file labeling file organization machine learning topic modeling

Content Based Automated File Organization Using Machine Learning Approaches

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Computers, Materials & Continua 2022年第10期73卷 1927-1942页

作者： syed Ali raza Sagheer Abbas Taher M.Ghazal Muhammad Adnan khan Munir Ahmad Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science GC University LahorePakistan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Riphah School of Computing&Innovation Faculty of ComputingRiphah International University Lahore CampusLahore54000Pakistan Department of Software Pattern Recognition and Machine Learning LabGachon UniversitySeongnam13120GyeonggidoKorea Cyber-Physical Systems Khalifa UniversityAbu Dhabi127788UAE

In the world of big data,it’s quite a task to organize different files based on their *** with heterogeneous data and keeping a record of every single file stored in any folder is one of the biggest problems encountered by almost every computer *** of file management related tasks will be solved if the files on any operating system are somehow categorized according to their ***,the browsing process can be performed quickly and *** research aims to design a system to automatically organize files based on their similarities in terms of *** proposed methodology is based on a novel strategy that employs the charactaristics of both supervised and unsupervised machine learning approaches for learning categories of digital files stored on any computer *** results demonstrate that the proposed architecture can effectively and efficiently address the file organization challenges using real-world user *** results suggest that the proposed system has great potential to automatically categorize almost all of the user files based on their *** proposed system is completely automated and does not require any human effort in managing the files and the task of file organization become more efficient as the number of files grows.

关键词： File organization natural language processing machine learning

Anti-obesity effect and UHPLC-QTOF-MS/MS based metabolite profiling of Solanum nigrum leaf extract

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Asian Pacific Journal of Tropical Biomedicine 2022年第4期12卷 164-174页

作者： Zain Ul Aabideen Muhammad Waseem Mumtaz Muhammad Tayyab Akhtar Muhammad Asam raza Hamid Mukhtar Ahmad Irfan syed Ali raza Muhammad Nadeem Yee Soon Ling Department of Chemistry University of GujratGujratPakistan Institute of Industrial Biotechnology GC University LahoreLahorePakistan Department of Chemistry College of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Department of Chemistry GC University LahoreLahorePakistan Sabah Occupational Safety Health and Environment AssociationLot331st FloorBlock EIramanis CenterJalanLinatas88450Kota KinabaluSabahMalaysia

Objective:To evaluate the antioxidant potential and pancreatic lipase inhibitory action of optimized hydroethanolic extracts of Solanum ***:Optimized extraction for maximum recovery of metabolites was performed using a combination of freeze-drying and ultrasonication followed by determination of antioxidant and antiobesity *** ultra-high performance liquid chromatography equipped with mass spectrometry was used to analyze metabolite profiling of Solanum *** studies were performed using molecular docking and electrostatic potential analysis for individual *** hypolipidemic potential of the most potent extract was assessed in the obese mice fed on fat rich ***:The 80%hydroethanolic extract exhibited the highest extract yield,total phenolic contents,total flavonoid contents along with the strongest 2,2-diphenyl-1-picrylhydrazyl scavenging activity,total antioxidant power,and pancreatic lipase inhibitory *** 80%hydroethanolic extract not only regulated the lipid profile of obese mice but also restricted the weight gain in the liver,kidney,and *** 80%hydroethanolic extract also reduced alanine transaminase and aspartate transaminase concentrations in *** effects of plant extract at 300 mg/kg body weight were quite comparable with the standard drug ***:Solanum nigrum is proved as an excellent and potent source of secondary metabolites that might be responsible for obesity mitigation.

关键词： Solanum nigrum Ultrasonication Metabolite profiling Total phenolic contents Total flavonoid content Antioxidant DPPH Total antioxidant power Pancreatic lipase UHPLC-QTOF-MS/MS Antiobesity Mice Hypolipidemic Molecular docking