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Personalising pancreas cancer treatment:When tissue is the issue

World Journal of Gastroenterology 2014年第24期20卷 7849-7863页

作者： Katrin m Sjoquist Venessa T Chin Lorraine A Chantrill Chelsie O'Connor Chris Hemmings David K Chang Angela Chou marina Pajic Amber L Johns adnan m nagrial Andrew V Biankin Desmond Yip NHmRC Clinical Trials Centre University of SydneySydney NSW 1450Australia Cancer Care Centre St George HospitalKogarah NSW 2217Australia The Kinghorn Cancer Centre and the Cancer Research ProgramGarvan Institute of Medical ResearchSydney NSW 2010Australia macarthur Cancer Therapy Centre Campbelltown HospitalCampbelltown NSW 2560Australia St Vincents Hospital Clinical School Sydney UNSW 2010Australia Cancer Therapy Centre Liverpool HospitalLiverpool NSW 2170Australia St John of God Pathology Subiaco WA 6904Australia Department of Surgery Bankstown HospitalEldridge RoadBankstownSydney NSW 2200Australia Faculty of medicine South Western Sydney Clinical SchoolUniversity of NSWLiverpool NSW 2170Australia Wolfson Wohl Cancer Research Centre Institute of Cancer SciencesUniversity of GlasgowGlasgow G61 1BDUnited Kingdom Department of Anatomical Pathology St.Vincent’s HospitalDarlinghurstSydney NSW 2010Australia West of Scotland Pancreatic Unit Glasgow Royal InfirmaryGlasgow G4 0SFUnited Kingdom Department of medical Oncology The Canberra HospitalGarran ACT 2605Australia ANU medical School Australian National UniversityActon ACT 2601Australia

The treatment of advanced pancreatic cancer has not moved much beyond single agent gemcitabine until recently when protocols such as FOLFIRINOX(fluorouracil,leucovorin,irinotecan and oxaliplatin)and nab-paclitaxelgemcitabine have demonstrated some improved *** in technology especially in massively parallel genome sequencing has progressed our understanding of the biology of pancreatic cancer especially the candidate signalling pathways that are involved in tumourogenesis and disease *** has allowed identification of potentially actionable mutations that may be targeted by new biological *** heterogeneity of pancreatic cancer makes tumour tissue collection important with the aim of being able to personalise therapies for the individual as opposed to a one size fits all approach to treatment of the *** paper reviews the developments in this area of translational research and the ongoing clinical studies that will attempt to move this into the everyday oncology practice.

关键词： Pancreatic neoplasms molecular targeted therapy Genomics Tissue banks Chemotherapy

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Detailed analysis of the relativistic configuration of Bardeen anisotropic spheres in modified f(G)gravity

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Communications in Theoretical Physics 2024年第6期76卷 45-56页

作者： adnan malik Ayesha Almas Tayyaba Naz Rubab manzoor m Z Bhatti School of mathematical Sciences Zhejiang Normal UniversityJinhuaZhejiangChina Department of mathematics University of Management and TechnologySialkot CampusLahorePakistan National University of Computer and Emerging Sciences Lahore CampusPakistan Department of mathematics University of Management and TechnologyJohar Town CampusLahore 54782Pakistan Department of mathematics University of the PunjabQuaid-i-Azam CampusLahore-54590Pakistan

The aim of this work is to investigate anisotropic compact objects within the framework of f(G)modified theory of *** our present work,we utilize Krori-Barua metrics,i.e.,λ(r)=Xr^(2)+Y andβ(r)=Zr^(2).We use some matching conditions of spherically symmetric spacetime with Bardeen's model as an exterior ***,we establish some expressions of energy density and pressure components to analyze the stellar configuration of Bardeen compact stars by assuming viable f(G)*** examine the energy conditions for different stellar structures to verify the viability of our considered ***,we also investigate some other physical features,such as equilibrium condition,equation of state parameters,adiabatic index,stability analysis,mass function,surface redshift,and compactness factor,*** is worthwhile to mention here for the current study that our stellar structure in the background of Bardeen's model is more viable and stable.

关键词： Bardeen compact stars f(G)modified gravity Krori-Barua potential

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Two mADS-box proteins,AGL9 and AGL15,recruit the FIS-PRC2 complex to trigger the phase transition from endosperm proliferation to embryo development in Arabidopsis

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molecular Plant 2024年第7期17卷 1110-1128页

作者： Shen Zhang Devasantosh mohanty adnan muzaffar min Ni Department of Plant and microbial Biology University of Minnesota at Twin CitiesSaint PaulMinnesota MN 55108United States of AmericaUSA

Spatiotemporal regulation of gene expression by polycomb repressive complex 2(PRc2)is critical for animal and plant *** Arabidopsis fertilization independent seed(FIS)-PRC2 complex functions specifically during plant reproduction from gametogenesis to seed *** a double fertilization event,triploid endosperm proliferates early,followed by the growth of a diploid embryo,which replaces the endosperm in Arabidopsis and many *** genes critical for endosperm proliferation such as IKkU2 and mINI3 are activated after *** we report that two mADS-box AGAmOUS-LIKE(AGL)proteins associate with the key endosperm proliferation loci and recruit the FIS-PRC2 repressive complex at 4-5 days after pollination(DAP).Interestingly,AGL9 and AGL15 only accumulate toward the end of endosperm proliferation at 4-5 DAP and promote the deposition of H3K27me3 marks at key endosperm proliferation *** of AGL9 and AGL15 or overexpression of AGL9 or AGL15 significantly influence endosperm proliferation and ***-wide analysis with cleavage Under Targets and tagmentation(CUT&Tag)sequencing and RNA sequencing revealed the landscape of endosperm H3K27me3 marks and gene expression profiles in Col-0 and agl9 ***&Tag qPCR also demonstrated the occupancy of the two mADS-box proteins and FIS-PRC2 on a few representative target *** studies suggest that mADS-box proteins could potentially recruit PRc2 to regulate many other developmental processes in plants or even in fungi and animals.

关键词： AGL9 AGL15 embryo endosperm IKU2 mEDEA mINI3

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Cervical Cancer Prediction Empowered with Federated machine Learning

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Computers, materials & Continua 2024年第4期79卷 963-981页

作者： muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy m.A.Khan Khan muhammad adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi20009UAE Department of Computing Skyline University CollegeSharjah999041UAE Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam13120Korea

Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in thefourth position because of the leading death cause in its premature stages. The cervix which is the lower end of thevagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumorin the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approachuses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer totrain the weights with varying neurons empowered fuzzed techniques to align the neurons, Internet of medicalThings (IomT) to fetch data and blockchain technology for data privacy and models protection from hazardousattacks. The proposed approach achieves the highest cervical cancer prediction accuracy of 99.26% and a 0.74%misprediction rate. So, the proposed approach shows the best prediction results of cervical cancer in its early stageswith the help of patient clinical records, and all medical professionals will get beneficial diagnosing approachesfrom this study and detect cervical cancer in its early stages which reduce the overall death ratio of women due tocervical cancer.

关键词： Cervical cancer federated machine learning neurons blockchain technology

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Smart Energy management System Using machine Learning

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Computers, materials & Continua 2024年第1期78卷 959-973页

作者： Ali Sheraz Akram Sagheer Abbas muhammad adnan Khan Atifa Athar Taher m.Ghazal Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and machine Learning Lab Department of SoftwareGachon UniversitySeongnamGyeonggido13120Korea Department of Computer Science COMSATS University IslamabadLahore CampusLahore54000Pakistan School of Information Technology Skyline University CollegeSharjah1797United Arab Emirates Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Energy management is an inspiring domain in developing of renewable energy ***,the growth of decentralized energy production is revealing an increased complexity for power grid managers,inferring more quality and reliability to regulate electricity flows and less imbalance between electricity production and *** major objective of an energy management system is to achieve optimum energy procurement and utilization throughout the organization,minimize energy costs without affecting production,and minimize environmental *** energy management is an essential and complex subject because of the excessive consumption in residential buildings,which necessitates energy optimization and increased user *** address the issue of energy management,many researchers have developed various frameworks;while the objective of each framework was to sustain a balance between user comfort and energy consumption,this problem hasn’t been fully solved because of how difficult it is to solve *** inclusive and Intelligent Energy management System(IEmS)aims to provide overall energy efficiency regarding increased power generation,increase flexibility,increase renewable generation systems,improve energy consumption,reduce carbon dioxide emissions,improve stability,and reduce energy *** Learning(mL)is an emerging approach that may be beneficial to predict energy efficiency in a better way with the assistance of the Internet of Energy(IoE)*** IoE network is playing a vital role in the energy sector for collecting effective data and usage,resulting in smart resource *** this research work,an IEmS is proposed for Smart Cities(SC)using the mL technique to better resolve the energy management *** proposed system minimized the energy consumption with its intelligent nature and provided better outcomes than the previous approaches in terms of 92.11% accuracy,and 7.89% miss-rate.

关键词： Intelligent energy management system smart cities machine learning

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Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol

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Tsinghua Science and Technology 2024年第4期29卷 985-1001页

作者： N.meenakshi Sultan Ahmad A.V.Prabu J.Nageswara Rao Nashwan adnan Othman Hikmat A.m.Abdeljaber R.Sekar Jabeen Nazeer SRm Institute of Science and Technology KattankulathurChennai 603203India Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj 11942Saudi Arabia University Center for Research and Development(UCRD) Department of Computer Science and EngineeringChandigarh UniversityGharuanMohali 140413India Department of ECE Koneru Lakshmaiah Education FoundationVaddeswaramGuntur 522502India Department of Computer Science and Engineering Lakireddy Balireddy College of Engineering(A)NTR District 521230India Department of Computer Engineering College of EngineeringKnowledge UniversityErbil 44001Iraq Department of Computer Science Faculty of Information TechnologyApplied Science Private UniversityAmman 11937Jordan Department of Electronics and Communication Engineering(ECE) School of EngineeringPresidency UniversityBangalore 834001India

The Wireless Sensor Network(WSN)is a network that is constructed in regions that are inaccessible to human *** widespread deployment of wireless micro sensors will make it possible to conduct accurate environmental monitoring for a use in both civil and military *** make use of these data to monitor and keep track of the physical data of the surrounding environment in order to ensure the sustainability of the *** data have to be picked up by the sensor,and then sent to the sink node where they may be *** nodes of the WSNs are powered by batteries,therefore they eventually run out of *** energy restriction has an effect on the network life span and environmental *** objective of this study is to further improve the Engroove Leach(EL)protocol’s energy efficiency so that the network can operate for a very long time while consuming the least amount of *** lifespan of WSNs is being extended often using clustering and routing *** meta Inspired Hawks Fragment Optimization(mIHFO)system,which is based on passive clustering,is used in this study to do *** cluster head is chosen based on the nodes’residual energy,distance to neighbors,distance to base station,node degree,and node *** on distance,residual energy,and node degree,an algorithm known as Heuristic Wing Antfly Optimization(HWAFO)selects the optimum path between the cluster head and Base Station(BS).They examine the number of nodes that are active,their energy consumption,and the number of data packets that the BS *** overall experimentation is carried out under the mATLAB *** the analysis,it has been discovered that the suggested approach yields noticeably superior outcomes in terms of throughput,packet delivery and drop ratio,and average energy consumption.

关键词： wireless sensor networks energy efficient engroove leach protocol meta inspired Hawks fragment optimization heuristic wing antfly optimization

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Graphene oxide-coated microbottle resonators for relative humidity sensing

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Optoelectronics Letters 2024年第7期20卷 400-405页

作者： Huda adnan Zain malathy Batumalay md Ashadi md Johari Hazli Rafis Abdul Rahim Sulaiman Wadi Harun Department of Electrical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur 50603Malaysia Faculty of Data Science and Information Technology INTI International UniversityNilai 71800Malaysia1 Faculty of Electrical and Electronic Engineering Technology Universiti Teknikal Malaysia MelakaMelaka 76100Malaysia Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia MelakaMelaka 76100Malaysia

Graphene oxide(GO)is a 2D coating material used to improve fiber optics sensors’response to relative *** resonators(mBRs)have garnered more attention as sensing media *** mBR with a 190μm diameter was coated with ***,tapered fiber light coupling was used to investigate the relative humidity sensing performance in the range of 35—70%RH at 25℃.The mBR showed a higher Q factor before and after GO *** sensitivity of 0.115 dB/%RH was recorded with the 190μm GO-coated mBR sample compared to a sensitivity of 0.022 dB/%RH for the uncoated mBR *** results show that the mBR can be used in fiber optic sensing applications for environmental sensing.

关键词： humidity oxide bottle

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m_(4)X_(3) mXenes:Application in Energy Storage Devices

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Nano-micro Letters 2024年第10期16卷 522-542页

作者： Iftikhar Hussain Waqas Ul Arifeen Shahid Ali Khan Sikandar Aftab muhammad Sufyan Javed Sajjad Hussain muhammad Ahmad Xi Chen Jiyun Zhao PRosaiah Khaled Fahmi Fawy adnan Younis Sumanta Sahoo Kaili Zhang Department of mechanical Engineering City University of Hong Kong83 Tat Chee AvenueKowloon TongHong KongPeople's Republic of China School of mechanical Engineering Yeungnam UniversityDaehak-roGyeongsan-siGyeongbuk-do 38541South Korea Department of Semiconductor Systems Engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea School of Physical Science and Technology Lanzhou UniversityLanzhou 730000People's Republic of China Department of Nanotechnology and Advanced materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Physics Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ThandalamChennai 602105India Department of Chemistry Faculty of ScienceKing Khalid UniversityP.O.Box 900461413 AbhaSaudi Arabia Department of Physics College of ScienceUnited Arab Emirates UniversityP.O.Box 15551Al-AinUnited Arab Emirates School of Chemical Engineering Yeungnam UniversityGyeongsanGyeongbuk 38541South Korea

mXene has garnered widespread recognition in the scientific com-munity due to its remarkable properties,including excellent thermal stability,high conductivity,good hydrophilicity and dispersibility,easy processability,tunable surface properties,and admirable *** have been categorized into different families based on the number of m and X layers in m_(n+1)X_(n),such as m_(2)X,m_(3)X_(2),m_(4)X_(3),and,recently,m_(5)X_(4).Among these families,m_(2)X and m_(3)X_(2),par-ticularly Ti_(3)C_(2),have been greatly explored while limited studies have been given to m_(5)X_(4)mXene ***,studies on the m_(4)X_(3)mXene family have developed recently,hence,demanding a compilation of evaluated ***,this review provides a systematic overview of the latest advancements in m_(4)X_(3)mXenes,focusing on their properties and applications in energy storage *** objective of this review is to provide guidance to researchers on fostering m_(4)X_(3)mXene-based nanomaterials,not only for energy storage devices but also for broader applications.

关键词： mXene m_(4)X_(3)mXenes 2D materials Energy storage Properties

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某废弃冶炼场地土壤不同粒径组分重金属的特征及其对修复策略的启示

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Journal of Central South University 2024年第4期31卷 1076-1091页

作者：赵鹏 muhammad adnan 肖佩文杨雪枫王海燕肖保华薛生国 State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China University of Chinese Academy of Sciences Beijing 100049China School of metallurgy and Environment Central South UniversityChangsha 410083China

颗粒粒径组分对土壤重金属的分布与赋存具有重要影响,而当前对受冶炼活动影响的不同区域间土壤各粒径组分重金属分布的比较研究较少。本研究以某废弃铅冶炼场地为研究对象,选取三个土壤剖面(冶炼固废堆存区、交通区和邻近的农田),对比... 详细信息

颗粒粒径组分对土壤重金属的分布与赋存具有重要影响,而当前对受冶炼活动影响的不同区域间土壤各粒径组分重金属分布的比较研究较少。本研究以某废弃铅冶炼场地为研究对象,选取三个土壤剖面(冶炼固废堆存区、交通区和邻近的农田),对比研究了不同土壤颗粒粒径组分(>150、45~150和m)中重金属的地球化学分布特征及赋存形态。结果显示,冶炼场地与周边农田土壤各粒径组分重金属的分布特征具有明显差异。随着粒径的增大,冶炼固废堆存区土壤重金属的富集因子从0.78增至1.14,这与该区粗粒废渣的堆放与机械混合相关;而农田土壤重金属的富集因子从1.49降至0.60,这与冶炼过程释放富集重金属的细颗粒沉降有关。同时,冶炼场地土壤的较粗组分(>45μm)具有较高的重金属质量负载量(>50%),且废渣颗粒对土壤重金属的贡献显著,故物理分离技术可用于该场地的土壤污染修复。此外,石膏和莫来石可能是该场地受冶炼活动影响土壤的指示矿物。本研究将冶炼活动影响与土壤不同粒径组分重金属的赋存形态相关联,对修复策略具有一定的指导意义。

关键词：废弃铅冶炼场地土壤重金属颗粒粒径组分地球化学形态废渣物理分离技术

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Personalized nutrition to mitigate inflammation in genetically predisposed individuals: a secondary analysis of the Danish PREVENTOmICS intervention

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Food Science and Human Wellness 2024年

作者： Sebastià Galmés Andreu Palou-march Kristina Pigsborg mona adnan Aldubayan Sophia m.O.Gormsen Alberto Calleja Joan Trabal Vanesa martínez Biotza Gutiérrez Josep m.Del Bas Faidon magkos Francisca Serra Eurecat， Centre tecnològic de Catalunya， Biotechnology Area Avd Universitat 1 Laboratory of molecular Biology， Nutrition and Biotechnology (Nutrigenomics， Biomarkers and Risk Evaluation-NuBE)， University of the Balearic Islands Health Research Institute of the Balearic Islands (IdISBa) CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN)， Carlos III Health Institute (ISCIII) Alimentómica S.L.， Camí de na Pontons.s/n (Pol.11，Parc 3) Department of Nutrition， Exercise and Sports， Faculty of Science， University of Copenhagen Department of Clinical Nutrition， College of Applied medical Sciences， King Saud bin Abdulaziz University for Health Sciences R&D， Food & Culinary Department Simple Feast Leitat Technological Center C/Innovació 2 Creaciones Aromáticas Industriales SA， Cuatrecasas i Arumí， Sant Quirze del Valles

Deep phenotyping and genetic characterization of individuals are fundamental to assessing the metabolic status and determining nutrition-specific requirements. This study aimed to ascertain the utmost effectiveness of personalized interventions by aligning dietary adjustments with both the genotype and metabolotype of individuals. Therefore， we assessed here the usefulness of a polygenic score (PGS) characterizing a potential pro-inflammatory profile (PGSi) as a nutrigenetic tool to discern individuals from the Danish PREVENTOmICS cohort that could better respond to precision nutrition (PN) plans， specifically targeted at counteracting the low-grade inflammatory profile typically found in obesity. The cohort followed a PN plan to counteract the pro-inflammatory profile (PNi group) or generic dietary recommendations (Control) for 10 weeks. PGSi was applied for genetic stratification (Low/High). The effects of the intervention on anthropometrics and biomarkers related to inflammatory profile and carbohydrate metabolism were assessed. Around 30% of subjects had a high genetic predisposition to pro-inflammatory status (high-PGSi). These individuals demonstrated the most effective response to the dietary plan， experiencing improved body composition， with significant decreases in body weight (△: -4.84%; p=0.039) and body fat (△: -4.86%; p=0.007)， and beneficial changes in pro- and anti-inflammatory biomarkers， with significant increases in IL-10 (△: 71.3%; p=0.025) and decreases in TNF-α (△: -3.0%; p=0.048)， CRP (△: -31.1%)， ICAm1 (△: -5.8%)， and mCP1 (△: -4.2%) circulating levels， compared to low-PGSi individuals. Both phenotypic and genetic stratification contributed to a better understanding of metabolic heterogeneity in response to diet. This approach allows for refinement of the prediction of individual requirements and potentially for better management of obesity.

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