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A critical review of diagnostic and prognostic markers of chronic hepatitis B infection

Medical Review 2024年第3期4卷 225-234页

作者： Shuaibu Abdullahi Hudu sa’adatu Haruna Shinkafi Abdulgafar Olayiwola Jimoh Department of Basic Medical and Dental Sciences Faculty of DentistryZarqa UniversityZarqa 13110Jordan Department of Microbiology and Parasitology Usmanu Danfodiyo University Teaching HospitalSokotoSokoto StateNigeria Department of Pharmacology and Therapeutics Faculty of Basic Clinical SciencesCollege of Health SciencesUsmanu Danfodiyo UniversitySokoto840232 Sokoto StateNigeria

A major worldwide health concern,chronic hepatitis B necessitates precise prognostic and diagnostic indicators for clinical *** article highlights the clinical importance and current issues of the major markers used in both the detection and prognosis of chronic hepatitis *** important indicator of an ongoing and persistent infection is the hepatitis B surface *** B virus DNA quantification monitoring aids in assessing viral load and hepatic cancer *** limited evidence of liver damage is provided by alanine aminotransferase levels,the hepatitis B core antibody verifies acute ***version to the hepatitis B e antibody is linked to a lower risk of disease development,and the hepatitis B e antigen status is a critical prognostic *** choices are guided by a biopsy of the liver or minimally invasive liver fibrosis *** of the hepatitis B virus and host variables influence the prognosis by adding to the disease’s *** techniques to evaluate the severity of the disease are provided by serum markers of fibrosis,such as the fibrosis score based on four criteria and the aspartate aminotransferase-to-platelet ratio *** requirement for indicators that distinguish between distinct viral phases and increase specificity in evaluating liver damage is one of the challenges facing chronic hepatitis B *** though it is quite difficult to find reliable biomarkers for resistance especially when it comes to hepatocellular cancer risk estimation,there are advanced methods,which include imaging and omics that can help in improving the accuracy of the diagnostics and *** early point that improve patient outcomes are made possible using diagnostics and prognostics as they are quite effective in managing the complicated landscape of chronic hepatitis *** in addressing these challenges today and improving the diagnostic and prognostic markers in the future,particula

关键词： chronic hepatitis prognostic scores seromarkers surrogate markers

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基于旅游生态足迹模型的山地型景区绿色发展状态评估（英文）

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Journal of Resources and Ecology 2024年第5期15卷 1324-1334页

作者：刘忠秀 Nor Kalsum MOHD isa 苏丹依德里斯教育大学人文科学学院地理与环境系临沂大学土木工程与建筑学院

本研究采用旅游生态足迹模型，对山地风景区的绿色发展状况进行细致评估，其整体目标在于全面分析旅游活动对生态环境所带来的影响。评估过程包括对生态足迹、生态承载力以及生态盈余的计算和分析。在文峰山风景区的个案研究中，研究结... 详细信息

本研究采用旅游生态足迹模型，对山地风景区的绿色发展状况进行细致评估，其整体目标在于全面分析旅游活动对生态环境所带来的影响。评估过程包括对生态足迹、生态承载力以及生态盈余的计算和分析。在文峰山风景区的个案研究中，研究结果显示，当前文峰山风景区旅游业发展阶段呈现出显著的生态盈余状态。生态足迹的盈余意味着旅游活动对文峰山风景区生态环境的影响并未超过其可持续承载能力。这说明尽管旅游活动蓬勃发展，但文峰山风景区的生态环境仍然得到有效保护和维护。生态盈余的存在标志着旅游业发展与当地生态系统保护之间的平衡，这对于该地区的可持续发展至关重要。此外，本研究对旅游生态足迹组成部分进行深入分析，提供关于各种旅游相关活动（如住宿、交通、餐饮、观光和购物等）所带来的生态足迹的详细细分。这些细致的分析为了解不同旅游相关因素所带来的生态动态提供深入分析。对文峰山风景区绿色发展状况的精细评估具有重要意义，决策者可以从中获得旅游促进和环境保护之间微妙平衡的见解。所发现的生态盈余表明目前的做法符合可持续发展目标，并为类似地区提供了一个典范。然而，本研究也凸显运用旅游生态足迹模型进行计算的关键局限性，详细的结果揭示模型适用性、数据收集以及计算方法等方面存在的挑战，强调有必要对旅游生态足迹模型进行进一步完善和验证。认识到这些限制对于改进模型并确保其在不同地理环境中的稳健应用至关重要。本研究提供对山地型风景区，尤其是文峰山风景区的绿色发展状况的深入理解。研究结果为决策者和研究人员提供丰富的参考资料，提供有关旅游相关生态影响特定方面的见解。未来的研究可以在完善评估指标和改进数据收集以及分析方法方面继续努力，以提高绿色发展评估的准确性和可靠性。

关键词：绿色发展旅游生态足迹文峰山风景区

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Hybrid Optimization Algorithm for Handwritten Document Enhancement

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Computers, Materials & Continua 2024年第3期78卷 3763-3786页

作者： Shu-Chuan Chu Xiaomeng Yang Li Zhang Václav Snášel Jeng-Shyang Pan College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China School of Information and Control Engineering Qingdao University of TechnologyQingdao266520China Faculty of electrical Engineering and Computer Science VŠB-TU OstravaOstrava70080Czech Republic Department of Information Management Chaoyang University of TechnologyTaichung41349Taiwan

The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance;however, there remains room for improvement in convergence and practical applications. This study introduces a hybrid optimization algorithm, named the adaptive inertia weight whale optimization algorithm and gannet optimization algorithm (AIWGOA), which addresses challenges in enhancing handwritten documents. The hybrid strategy integrates the strengths of both algorithms, significantly enhancing their capabilities, whereas the adaptive parameter strategy mitigates the need for manual parameter setting. By amalgamating the hybrid strategy and parameter-adaptive approach, the Gannet Optimization Algorithm was refined to yield the AIWGOA. Through a performance analysis of the CEC2013 benchmark, the AIWGOA demonstrates notable advantages across various metrics. Subsequently, an evaluation index was employed to assess the enhanced handwritten documents and images, affirming the superior practical application of the AIWGOA compared with other algorithms.

关键词： Metaheuristic algorithm gannet optimization algorithm hybrid algorithm handwritten document enhancement

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Phosphoric Acid Pretreatment and saccharification of Paper Sludge as a Renewable Material for Cellulosic Fibers

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Journal of Renewable Materials 2024年第9期12卷 1573-1591页

作者： samar el-Mekkawi Wafaa Abou-elseoud Shaimaa Fadel Enas Hassan Mohammad Hassan Chemical Engineering and Pilot Plant Department National Research CentreDokkiGiza12622Egypt Cellulose and Paper Department National Research CentreDokkiGiza12622Egypt

Recycling of paper sludge waste is crucial for establishing a sustainable green *** waste contains valuable sugars that can be converted into important chemicals such as ethanol,poly hydroxybutyrate,and lactic ***,the main challenge in obtaining sugars in high yield from paper sludge is the high crystallinity of cellulose,which hinders *** address this,pretreatment using phosphoric acid was optimized using response surface methodology to facilitate cellulose hydrolysis with minimal energy and *** created prediction model using the response surface method considered factors such as acid concentration(ranging from 60%to 85%),consistency(ranging from 4%to 10%),temperature(ranging from 25℃to 80℃),and time(ranging from 0.5 to 4 h).The results revealed that the model’s significant factors affecting the yield were acid concentration,reaction time,temperature,and the product of acid concentration and temperature,while the model’s significant factors affecting the crystallinity were the consistency,the temperature,and their *** results showed that the optimum conditions for pretreatment were using an acid concentration of 64%,temperature of 25℃,consistency of 10%,and time of 30 *** hydrolysis of the conditionally pretreated paper sludge resulted in a weight loss of 42%,compared to only 18%weight loss in non-pretreated paper ***,the optimized conditions led to low levels of furfurals and acetic acid,which are undesirable by-products that can interfere with sugar *** total sugar obtained under the optimized conditions was 0.43 g glucose/g sample(10.46 g/L),while the contents of methyl furfural,furfural,and acetic acid were 21.65,235.7,and 4.57 mg/L,*** study demonstrates the potential of phosphoric acid for pretreatment and hydrolysis of paper sludge,enabling efficient saccharification and the production of sugars with minimal undesired by-products.

关键词： Waste valorization fermentable sugars response surface methodology acid hydrolysis cellulose crystallinity

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Thermodynamic Performance Analysis of Geothermal Power Plant Based on Organic Rankine Cycle (ORC) Using Mixture of Pure Working Fluids

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Energy Engineering 2024年第8期121卷 2023-2038页

作者： Abdul sattar Laghari Mohammad Waqas Chandio Laveet Kumar Mamdouh el Haj Assad Department of Mechanical Engineering Mehran University of Engineering and TechnologyJamshoro76062Pakistan Department of Mechanical and Industrial Engineering College of EngineeringQatar UniversityDoha00000Qatar Sustainable&Renewable Energy Engineering Department University of SharjahSharjah00000United Arab Emirates

The selection of working fluid significantly impacts the geothermal ORC’s *** a mixture as a working fluid is a strategy to improve the output of geothermal *** the current study,modelling and thermodynamic analysis of ORC,using geothermal as a heat source,is carried out at fixed operating *** model is simulated in the Engineering Equation Solver(EES).An environment-friendly mixture of fluids,i.e.,R245fa/R600a,with a suitable mole fraction,is used as the operating *** mixture provided the most convenient results compared to the pure working fluid under fixed operating *** impact of varying the evaporator pressure on the performance parameters,including energy efficiency,exergy efficiency and net power output is *** system provided the optimal performance once the evaporator pressure reached the maximum *** efficiencies:Energy and Exergy,and Net Power output of the system are 16.62%,64.08%and 2199 kW for the basic cycle and 20.72%,67.76%and 2326 kW respectively for the regenerative cycle.

关键词： Organic rankine cycle internal heat exchanger moderate-temperature geothermal source mixture of the fluid exergy

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Modelling the monthly hydrological balance using Soil and Water Assessment Tool(SWAT)model:A case study of the Wadi Mina upstream watershed

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Journal of Groundwater Science and Engineering 2024年第2期12卷 161-177页

作者： Hanane Mebarki Noureddine Maref Mohammed el-Amine Dris Civil Engineering and Environmental Laboratory(LGCE) University of Djillali LiabèsFaculty of TechnologyHydraulics departmentBen M'Hidi districtP.O.Box 8922000Sidi Bel AbbèsAlgeria.

Modelling the hydrological balance in semi-arid zones is essential for effective water resource management,encompassing both surface water and *** study aims to model the monthly hydrological water cycle in the Wadi Mina upstream watershed(northwest Algeria)by applying the Soil and Water Assessment Tool(SWAT)hydrological *** modelling integrates spatial data such as the Digital elevation Model(DEM),land use,soil types and various meteorological parameters including precipitation,maximum and minimum temperatures,relative humidity,solar radiation and wind *** SWAT model was calibrated and validated using data from January 2012 to December 2014,with a calibra-tion period from January 2012 to August 2013 and a validation period from September 2013 to December *** and parameter calibration were conducted using the SWAT-sa program,and model performance evaluation relied on comparing the observed discharge at the outlet of the basin with model-simulated discharge,assessed through statistical coefficients including Nash-Sutcliffe Efficiency(NSE),coefficient of determination(R2)and Percent Bias(PBAIS).Calibration results indicated favourable objec-tive function values(NSE=0.79,R2=0.93,PBAIS=-8.53%),although a slight decrease was observed during validation(NSE=0.69,R2=0.86,and PBAIS=-11.41%).The application of the SWAT model to the Wadi Mina upstream watershed highlighted its utility in simulating the spatial distribution of different components of the hydrological balance in this *** SWAT model revealed that approximately 71%of the precipitation in the basin evaporates,while only 29%contributes to surface runoff or infiltration into the soil.

关键词： SWAT model Performance Parameters Runoff Groundwater Wadi

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Gut microbiota predicts the diagnosis of ulcerative colitis in saudi children

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World Journal of Clinical Pediatrics 2024年第1期13卷 118-124页

作者： Mohammad el Mouzan Ahmed Al sarkhy Asaad Assiri Department of Pediatrics Gastroenterology UnitKing Saud UniversityRiyadh 11461Saudi Arabia

BACKGROUND Ulcerative colitis(UC)is an immune-mediated chronic inflammatory condition with a worldwide *** the etiology of this disease is still unknown,the understanding of the role of the microbiota is becoming increasingly *** To investigate the predictive power of the gut microbiota for the diagnosis of UC in a cohort of newly diagnosed treatment-naïve saudi children with *** The study population included 20 children with a confirmed diagnosis of UC and 20 healthy *** DNA was extracted and sequenced,and shotgun metagenomic analysis was performed for bacteria and *** and bioinformatics demonstrated significant dysbiosis in the form of reduced alpha diversity,beta diversity,and significant difference of abundance of taxa between children with UC and control *** receiver operating characteristic curve,a probability curve,was used to determine the difference between the UC and control *** area under the curve(AUC)represents the degree of separability between the UC group and the control *** AUC was calculated for all identified bacterial species and for bacterial species identified by the random forest classification algorithm as important potential biomarkers of UC.A similar method of AUC calculation for all bacteriophages and important species was *** The median age and range were 14(0.5-21)and 12.9(6.8-16.3)years for children with UC and controls,respectively,and 40%and 35%were male for children with UC and controls,*** AUC for all identified bacterial species was 89.5%.However,when using the bacterial species identified as important by random forest classification algorithm analysis, the accuracy increased to 97.6%. Similarly, the AUC for all theidentified bacteriophages was 87.4%, but this value increased to 94.5% when the important bacteriophagebiomarkers were *** very high to excellent AUCs of fecal bacterial and viral species sugge

关键词： Ulcerative colitis Microbiota Area under the curve Children saudi Arabia

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Pyronaridine combined with diminazene aceturate inhibits Babesia in vitro and in vivo

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Asian Pacific Journal of Tropical Biomedicine 2024年第3期14卷 93-99页

作者： Shimaa Abd el-salam el-sayed Mohamed Z.sayed-Ahmed Shaimaa Ahmed Awad Ali Nourah Alsadaan Nawazish Alam Mahmoud S.Alkhoudary Ikuo Igarashi Mohamed Abdo Rizk National Research Center for Protozoan Diseases Obihiro University of Agriculture and Veterinary MedicineInada-ChoObihiroHokkaido 080-8555Japan Department of Biochemistry and Chemistry of Nutrition Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt Department of Clinical Pharmacy College of PharmacyJazan UniversityJazan 45142Saudi Arabia Medical-Surgical Department College of NursingJouf UniversitySakaka 72388Saudi Arabia Critical Care and Emergency Nursing Faculty of NursingMansoura UniversityEgypt College of Nursing Jouf UniversitySakaka 72388Saudi Arabia Faculty of Pharmacy Mansoura UniversityMansoura 35516DakahliaEgypt Department of Internal Medicine and Infectious Diseases Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt

Objective:To evaluate the combination therapy of pyronaridine tetraphosphate and diminazene aceturate against Babesia in vitro and in ***:Bioinformatic analysis was performed using atom pair *** in vitro combination test was performed against Babesia bovis and Theileria ***,the in vivo chemotherapeutic efficacy of pyronaridine tetraphosphate in combination with diminazene aceturate was investigated against the growth of Babesia microti in mice using a fluorescence inhibitory ***:Pyronaridine tetraphosphate and diminazene aceturate exhibited nearly similar molecular *** in vitro combination of pyronaridine tetraphosphate and diminazene aceturate was synergistic on Babesia bovis and additive on Theileria *** addition,5 mg/kg pyronaridine tetraphosphate combined with 10 mg/kg diminazene aceturate inhibited Babesia microti growth significantly compared with those observed after treatment with 25 mg/kg diminazene aceturate alone from day 6 post treatment to day 12 post *** combination therapy also normalized the hematological parameters of infected ***:An oral dose of pyronaridine tetraphosphate combined with a subcutaneous dose of diminazene aceturate inhibits Babesia in vitro and in mice,suggesting it might be a new paradigm for the treatment of babesiosis.

关键词： Babesia Pyronaridine tetraphosphate Diminazene aceturate Babesiosis Theileria

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Modern Mobile Malware Detection Framework Using Machine Learning and Random Forest Algorithm

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Computer Systems Science & Engineering 2024年第5期48卷 1171-1191页

作者： Mohammad Ababneh Ayat Al-Droos Ammar el-Hassan School of Computing Sciences Princess Sumaya University for TechnologyAmman11941Jordan

With the high level of proliferation of connected mobile devices,the risk of intrusion becomes *** Intelligence(AI)and Machine Learning(ML)algorithms started to feature in protection software and showed effective *** algorithms are nonetheless hindered by the lack of rich datasets and compounded by the appearance of new categories of malware such that the race between attackers’malware,especially with the assistance of Artificial Intelligence tools and protection solutions makes these systems and frameworks lose effectiveness *** this article,we present a framework for mobile malware detection based on a new dataset containing new categories of mobile *** focus on categories of malware that were not tested before by Machine Learning algorithms proven effective in malware *** carefully select an optimal number of features,do necessary preprocessing,and then apply Machine Learning algorithms to discover malicious code *** our experiments,we have found that the Random Forest algorithm is the best-performing algorithm with such mobile malware with detection rates of around 99%.We compared our results from this work and found that they are aligned well with our previous *** also compared our work with State-of-the-Art works of others and found that the results are very close and competitive.

关键词： Android malware detect prevent artificial intelligence machine learning mobile CICMalDroid2020 CCCSCIC-AndMal-2020

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Multi-Objective Optimization Algorithm for Grouping Decision Variables Based on Extreme Point Pareto Frontier

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Computers, Materials & Continua 2024年第4期79卷 1281-1299页

作者： JunWang Linxi Zhang Hao Zhang Funan Peng Mohammed A.el-Meligy Mohamed Sharaf Qiang Fu College of Computer Science and Technology Shenyang University of Chemical TechnologyShenyang110142China Key Laboratory of Intelligent Technology for Chemical Process Industry of Liaoning Province Shenyang University of Chemical TechnologyShenyang110142China Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia

The existing algorithms for solving multi-objective optimization problems fall into three main categories:Decomposition-based,dominance-based,and *** multi-objective optimization problemsmainly focus on objectives,treating decision variables as a total variable to solve the problem without consideringthe critical role of decision variables in objective *** seen,a variety of decision variable groupingalgorithms have been ***,these algorithms are relatively broad for the changes of most decisionvariables in the evolution process and are time-consuming in the process of finding the Pareto *** solvethese problems,a multi-objective optimization algorithm for grouping decision variables based on extreme pointPareto frontier(MOEA-DV/EPF)is *** algorithm adopts a preprocessing rule to solve the Paretooptimal solution set of extreme points generated by simultaneous evolution in various target directions,obtainsthe basic Pareto front surface to determine the convergence effect,and analyzes the convergence and distributioneffects of decision *** the later stages of algorithm optimization,different mutation strategies are adoptedaccording to the nature of the decision variables to speed up the rate of evolution to obtain excellent individuals,thusenhancing the performance of the *** validation of the test functions shows that this algorithmcan solve the multi-objective optimization problem more efficiently.

关键词： Multi-objective evolutionary optimization algorithm decision variables grouping extreme point pareto frontier

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