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Role of incretins and glucagon receptor agonists in metabolic dysfunction-associated steatotic liver disease:Opportunities and challenges

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World Journal of Hepatology 2024年第5期16卷 731-750页

作者： Chencheng Xie naim.Alkhouri Mohamed A Elfeki Department of Internal Medicine University of South Dakota Sanford School of MedicineSioux FallsSD 57105United States Department of Hepatology Avera Mckennan University Hospital and Transplant InstituteSioux FallsSD 57105United States Department of Hepatology Arizona Liver HealthChandlerAZ 85712United States Department of Hepatology Avera McKennan University Hospital and Transplant InstituteSioux FallsSD 57105United States

Metabolic dysfunction-associated steatotic liver disease(MASLD)has become the most common chronic liver disease worldwide,paralleling the rising pandemic of obesity and type 2 *** to the growing global health burden and com-plex pathogenesis of MASLD,a multifaceted and innovative therapeutic approach is *** receptor agonists,which were initially developed for diabetes management,have emerged as promising candidates for MASLD *** review describes the pathophysiological mechanisms and action sites of three major classes of incretin/glucagon receptor agonists:glucagon-like peptide-1 receptor agonists,glucose-dependent insulinotropic polypeptide receptor agonists,and glucagon receptor *** and glucagon directly or indirectly impact various organs,including the liver,brain,pancreas,gastro-intestinal tract,and adipose ***,these agents significantly improve glycemic control and weight management and mitigate MASLD ***,this study provides a summary of clinical trials analyzing the effect-iveness and safety of incretin receptor agonists in MASLD management and provides an in-depth analysis highlighting their beneficial effects on improving liver function,hepatic steatosis,and intrahepatic *** are emerging challenges associated with the use of these medications in the real world,particularly adverse events,drug-drug interactions,and barriers to access,which are discussed in ***,this review highlights the evolving role of incretin receptor agonists in MASLD management and suggests future research directions.

关键词： Metabolic dysfunction-associated steatotic liver disease Metabolic dysfunction-associated steatohepatitis Glucagon-like peptide-1 Glucose-dependent inulinotropic polypeptide Glucagon Incretin Receptor agonist

Rates, predictors, and causes of readmission after transcatheter aortic valve replacement in patients with chronic kidney disease

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World Journal of Cardiology 2024年第7期16卷 402-411页

作者： Taha Teaima Gianfranco Bittar Carlini Rohan A Gajjar Imran Aziz Sami J Shoura Abdul-Rahim Shilbayeh naim.Battikh Tareq Alyousef Division of Cardiology Department of MedicineJohn H.StrogerJr.Hospital of Cook CountyChicagoIL 60612United States

BACKGROUND Transcatheter aortic valve replacement(TAVR)is a revolutionary procedure for severe aortic *** coexistence of chronic kidney disease(CKD)and TAVR introduces a challenge that significantly impacts patient *** To define readmission rates,predictors,and causes after TAVR procedure in CKD stage 1-4 *** We used the national readmission database 2018 and 2020 to look into readmission rates,causes and predictors after TAVR procedure in patients with CKD stage *** Out of 24758 who underwent TAVR and had CKD,7892(32.4%)patients were readmitted within 90 days,and had higher adjusted odds of being females(adjusted odds ratio:1.17,95%CI:1.02-1.31,P=0.02)with longer length of hospital stay>6 days,and more comorbidities including but not limited to diabetes mellitus,anemia,and congestive heart failure(CHF).CONCLUSION Most common causes of readmission included CHF(18.0%),sepsis,and complete atrioventricular *** readmission predictors with very close followup is warranted to prevent such high rate of readmission.

关键词： Chronic kidney disease Transcatheter aortic valve replacement Readmission Predictors Rates

Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors

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Science China(Information Sciences) 2023年第2期66卷 127-141页

作者： Sumaira HUSSAIN Xiaoming XI Inam ULLAH Syeda Wajiha naim.Kashif SHAHEED Cuihuan TIAN Yilong YIN School of Software Engineering Shandong University Department of Computer Science Sindh Madressatul Islam University School of Computer Science and Technology Shandong Jianzhu University School of Computer Science and Engineering South China University of Technology School of Medicine Shandong University Health Management Center Qilu Hospital of Shandong University

Breast tumor segmentation is vital to tumor detection at the early stages. Deep learning methods are typically used in automatic tumor segmentation tasks. However, in existing methods, the difference between pixels is disregarded, and the union network architecture is used to segment all pixels; these methods involve a tradeoff between accuracy and efficiency. A novel, difficulty-aware, prior-guided hierarchical network for the adaptive segmentation of breast tumors is presented herein. A difficulty prior learning module is proposed to learn the pixel’s difficulty prior to guild adaptive segmentation in the proposed network. To achieve a more accurate segmentation of hard pixels, a hard pixel processing unit is presented to learn more discriminative features for hard pixels. Experiments are conducted based on three datasets. The experimental results show that the proposed methods outperform traditional deep learning methods and achieve a balance between accuracy and efficiency.

关键词： breast tumor ultrasound image segmentation deep neural network difficulty-awareness

AI-based small arms firing skill evaluation system in the military domain

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Defence Technology（防务技术） 2023年第11期29卷 164-180页

作者： Rezoanul Hafiz Chandan Nusrat Sharmin Muhaimin Bin Munir Abdur Razzak Tanvir Ahamad naim.Tasneem Mubashshira Mokhlesur Rahman Department of Computer Science and Engineering Military Institute of Science and TechnologyDhakaBangladesh

Evaluation system of small arms firing has an important effect in the context of military domain. A partially automated evaluation system has been conducted and performed at the ground level. Automation of such system with the inclusion of artificial intelligence is a much required process. This papers puts focus on designing and developing an AI-based small arms firing evaluation systems in the context of military environment. Initially image processing techniques are used to calculate the target firing score. Additionally, firing errors during the shooting have also been detected using a machine learning algorithm. However, consistency in firing requires an abundance of practice and updated analysis of the previous results. Accuracy and precision are the basic requirements of a good shooter. To test the shooting skill of combatants, firing practices are held by the military personnel at frequent intervals that include 'grouping' and 'shoot to hit' scores. Shortage of skilled personnel and lack of personal interest leads to an inefficient evaluation of the firing standard of a firer. This paper introduces a system that will automatically be able to fetch the target data and evaluate the standard based on the fuzzy *** it will be able to predict the shooter performance based on linear regression ***, it compares with recognized patterns to analyze the individual expertise and suggest improvements based on previous values. The paper is developed on a Small Arms Firing Skill Evaluation System, which makes the whole process of firing and target evaluation faster with better accuracy. The experiment has been conducted on real-time scenarios considering the military field and shows a promising result to evaluate the system automatically.

关键词： Machine learning Processing Firing system Artificial intelligence

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Application of Intuitionistic Z-Numbers in Supplier Selection

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Intelligent Automation & Soft Computing 2023年第1期35卷 47-61页

作者： Nik Muhammad Farhan Hakim Nik Badrul Alam Ku Muhammad naim.Ku Khalif Nor Izzati Jaini Centre for Mathematical Sciences College of Computing and Applied SciencesUniversiti Malaysia PahangLebuhraya Tun RazakGambangKuantan26300PahangMalaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA PahangJengka CampusBandar Tun Abdul Razak Jengka26400PahangMalaysia

Intuitionistic fuzzy numbers incorporate the membership and non-membership *** contrast,Z-numbers consist of restriction components,with the existence of a reliability component describing the degree of certainty for the *** combination of intuitionistic fuzzy numbers and Z-numbers produce a new type of fuzzy numbers,namely intuitionistic Z-numbers(IZN).The strength of IZN is their capability of better handling the uncertainty compared to Zadeh's Z-numbers since both components of Z-numbers are charac-terized by the membership and non-membership functions,exhibiting the degree of the hesitancy of *** paper presents the application of such numbers in fuzzy multi-criteria decision-making problems.A decision-making model is proposed using the trapezoidal intuitionistic fuzzy power ordered weighted average as the aggregation function and the ranking function to rank the *** proposed model is then implemented in a supplier selection *** obtained ranking is compared to the existing models based on *** results show that the ranking order is slightly different from the existing *** analysis is performed to validate the obtained *** sensitivity analysis result shows that the best supplier is obtained using the proposed model with 80%to 100%consistency despite the drastic change of criteria *** Z-numbers play a very important role in describing the uncertainty in the decision makers’opinions in solving decision-making problems.

关键词： Intuitionistic Z-number fuzzy decision making ranking function supplier selection sensitivity analysis

Silicon nonlinear switch as a conditional circulator for monostatic LiDAR systems

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Photonics Research 2022年第2期10卷 426-432页

作者： Mingfei Ding Yiwei Xie Hao Yan Abu naim.R.Ahmed Reza Safian Swapnajit Chakravarty Leimeng Zhuang Pengcheng Jiao Huan Li Liu Liu Daoxin Dai Centre for Optical and Electromagnetic Research State Key Laboratory for Modern Optical InstrumentationZhejiang Provincial Key Laboratory for Sensing TechnologiesZhejiang UniversityZijingang CampusHangzhou 310058China Ningbo Research Institute Zhejiang UniversityNingbo 315100China imec USA Nanoelectronics Design CenterInc.KissimmeeFlorida 34744USA Ocean College Zhejiang UniversityZhoushan 316021China

All-optical silicon-photonics-based LiDAR systems allow for desirable features in scanning resolution and speed,as well as leverage other advantages such as size, weight, and cost. Implementing optical circulators in silicon photonics enables bidirectional use of the light path for both transmitters and receivers, which simplifies the system configuration and thereby promises low system cost. In this work, to the best of our knowledge, we present the first experimental verification of all-passive silicon photonics conditional circulators for monostatic LiDAR systems using a nonlinear switch. The proposed silicon nonlinear interferometer is realized by controlling signal power distribution with power-splitting circuits, allowing the LiDAR transmitter and receiver to share the same optical path. Unlike the traditional concept requiring a permanent magnet, the present device is implemented by using common silicon photonic waveguides and a standard foundry-compatible fabrication process. With several additional phase shifters, the demonstrated device exhibits considerable flexibility using a single chip, which can be more attractive for integration with photodetector arrays in LiDAR systems.

关键词： interferometer LiDAR nonlinear

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High Vegetation of Lake Ayakagitma in Bukhara Region and Their Distribution

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American Journal of Plant Sciences 2022年第11期13卷 1373-1380页

作者： Shamsiyev naim.Amonovich Qobilov Aziz Muxtorovich Bukhara State University Bukhara Uzbekistan

More than 500 lakes are found in Uzbekistan. Ayakagitma Lake is located on the border of the Northern Gijduvon and Shafirkon districts of Bukhara region. This lake was formed in 1985-1986 at the expense of the waters of the sewage dump collector. The area of the lake is 8200 hectares, the maximum depth is 35 m, on average 10 - 15 m, the minimum is 3 - 5 meters. The chemical composition of lake water is chloride-sulfate and has a calcareous character. 67 species of high plants belonging to 22 families were found in this area. 17 of these species are found in the water of the lake and 50 species are found around it. Of the most common species, Phragmites communis reach a height of 4.5 - 5.5 meters. Phragmites communis make up the total area of the lake 8 - 10 hectares.

关键词： Mesotrophic Zooplankton Zoobentos Nectobentos Bentos Detritus Mesophytes Xerophytes Hygrophytes Biomass

A Cryptographic-Based Approach for Electricity Theft Detection in Smart Grid

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Computers, Materials & Continua 2020年第4期63卷 97-117页

作者： Khelifi naim.Benahmed Khelifa Bounaama Fateh Laboratory of Energetic in Arid Zones(ENERGARID) Department of Electrical EngineeringFaculty of TechnologyTahri Mohammed University of BecharBechar08000Algeria Department of Mathematics and Computer Science Faculty of Exact SciencesTahri Mohammed University of BecharBechar08000Algeria

In order to strengthen their security issues,electrical companies devote particular efforts to developing and enhancing their fraud detection techniques that cope with the information and communication technologies integration in smart grid *** been treated earlier by several researchers,various detection schemes adapted from attack models that benefit from the smart grid topologies weaknesses,aiming primarily to the identification of suspicious incoming *** meshes have been extensively used in smart grid communication architectures due to their facility,lightness of conception and low cost installation;however,the communicated packets are still exposed to be intercepted maliciously in order either to falsify pertinent information like the smart meter readings,or to inject false data instead,aiming at electricity theft during the communication *** this reason,this paper initiates a novel method based on RSA cryptographic algorithm to detect electricity fraud in smart *** new method consists of generating two different cryptograms of one electricity measurement before sending,after which the recipient is used to find the same value after decrypting the two cyphers in a normal ***,a fraudulent manipulation could occur during the transmission *** presented method allows us to kill two birds with one ***,satisfactory outcomes are shown:the algorithm accuracy reaches 100%,from one hand,and the privacy is protected thanks to the cryptology concept on the other hand.

关键词： Electricity consumption fraud detection RSA algorithm security smart grid

Multiperspective Analysis of Microscale Trigeneration Systems and Their Role in the Crowd Energy Concept

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Journal of Electronic Science and Technology 2015年第3期13卷 206-211页

作者： Parantapa Sawant naim.Meftah Jens Pfafferott the Institute of Energy System Technologies Offenburg University of Applies Sciences the Department of Mechanical and Process Engineering Offenburg University of Applied Sciences

The energy system of the future will transform from the current centralised fossil based to a decentralised, clean, highly efficient, and intelligent network. This transformation will require innovative technologies and ideas like trigeneration and the crowd energy concept to pave the way ahead. Even though trigeneration systems are extremely energy efficient and can play a vital role in the energy system, turning around their deployment is hindered by various barriers. These barriers are theoretically analysed in a multiperspective approach and the role decentralised trigeneration systems can play in the crowd energy concept is highlighted. It is derived from an initial literature research that a multiperspective （technological, energy-economic, and user） analysis is necessary for realising the potential of trigeneration systems in a decentralised grid. And to experimentally quantify these issues we are setting up a microseale trigeneration lab at our institute and the motivation for this lab is also briefly introduced.

关键词： Adsorption cooling decentralisation,energy efficiency energy system analysis trigeneration.

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