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Performance evaluation of laterite soil embankment stabilized with bottom ash,coir fiber,and lime

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Journal of Mountain Science 2024年第7期21卷 2334-2351页

作者： yunusa Hamdanu SANI Amin EisaZADEH School of Civil Engineering and Technology Sirindhorn International Institute of TechnologyThammasat UniversityPathum Thani 12120Thailand

In tropical regions,heavy rainfall induces erosion and shallow landslides on road ***-based stabilization methods,common in these regions,contribute to climate change due to their high carbon *** study explored the potential application of coir fiber-reinforced laterite soil-bottom ash mixtures as embankment materials in the *** objective is to enhance engineered embankment slopes'erosion resistance and stability while offering reuse options for industrial *** study examined various mix designs for unconfined compressive strength(UCS)and permeability,utilizing 30%bottom ash(BA)and 1%coir fiber(CF)with varying sizes ranging from 10 to 40 mm,6%lime,and laterite soil(LS),followed by microstructural *** results demonstrate that the compressive strength increases as the CF length increases to 25 *** contrast,permeability increases continuously with increasing CF ***-treated mixtures exhibit superior short-and long-term strength and reduce permeability owing to the formation of cementitious materials,as confirmed by microstructural analyses.A lab-scale slope box was constructed to evaluate the surface erosion of the stabilized laterite soil *** on the rainfall simulation results,the LS-BA-CF mixtures show better resistance to erosion and deformation compared to untreated LS,especially when lime is added to the top *** study provides insights into a sustainable and cost-effective approach for slope stabilization using BA and CF,offering a promising solution for tropical regions susceptible to surface erosion and landslides.

关键词： Lateritic soil Bottom ash Coir fiber lime Unconfined compressive strength Permeability FESEM/EDS Rainfall simulation tests

A whole-building data-driven fault detection and diagnosis approach for public buildings in hot climate regions

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Energy and Built Environment 2024年第6期5卷 911-932页

作者： Ashraf Alghanmi Akilu yunusa-Kaltungo Department of Mechanical Aerospace and Civil Engineering(MACE)University of ManchesterM139PLUK Department of Mechanical Engineering Technology Yanbu Industrial CollegeYanbu Al-Sinaiyah City 41912Saudi Arabia

Fault detection and diagnosis(FDD)approaches comprise three main pillars:model-based,knowledge-based,and data-driven ***-driven approaches prioritise operational data and do not necessitate in-depth understanding of the system’s background;yet,significant amounts of data is required,which often poses challenges to *** simulated data is inexpensive and can run numerous faults types with varying severities and time periods,it has been used in data-driven FDD ***,the majority of FDD approaches are implemented at the system level of ***,most buildings have numerous systems with distinct ***,using individualised system-level analysis makes it difficult to see system-to-system ***,there is a significant underrepresentation of research that investigate the applications of FDD models under whole-building scenarios,so as to identify a wider range of energy consumption related faults in ***,since data-driven approaches significantly depend on the quantities of training data,it becomes challenging to diagnose faults that have limited *** a result,this study diagnoses numerous building systems faults,including single and simultaneous faults with limited *** is implemented within the context of the whole-building energy performance of religious buildings in hot climatic areas,employing data-driven FDD *** multi-class classification approaches were investigated to classify both the normal condition and faulty ***,feature extraction methodologies were compared to quantify their potential for improving the *** addition to the classification evaluation metrics,one-way ANOVA and Tukey-Kramer tests were implemented to examine the significance of the reported performance *** classifier obtained highest classification accuracy during validation and testing with about 90%,indicating a promising performance in w

关键词： Building energy performance Building maintenance Fault detection and diagnosis(FDD) Multi-class classification Feature extraction

The Effects of Shade Tree Types on Light Variation and Robusta Coffee Production in Vietnam

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Engineering（科研） 2015年第11期7卷 742-753页

作者： Nguyen Van Long Nguyen Quang Ngoc Nguyen Ngoc Dung Paul Kristiansen isa yunusa Chris Fyfe The Black Pepper Research & Development Centre Pleiku City Vietnam The University of New England Armidale NSW Australia

Vietnam is well-known as the second largest global coffee producer and the largest worldwide exporter of Robusta coffee. However, the Robusta coffee sector in Vietnam is facing many problems, including low quality, high external inputs and water shortages as a result of shade tree eradication. A six-month research project was conducted that focused on effects of shaded tree types on variation of light intensity and aspects of Robusta production. Three shade tree species at different planting densities and shade provision were investigated, including 46 trees of Durian ha–1 (14% shade), 35 trees of Sennaha–1 (17% shade), and 60 trees of Leucaena ha–1 (34% shade), and unshaded site (Open) was used as a control. The study found that light intensity declined 50% with Durian, 58% with Senna and 60% with Leucaena compared with the Open site (2096 μmol?m–2?s–1). Within the coffee canopy, a significant decline in light intensity was observed from the top of the canopy to the bottom. The percentage of light at the middle (90 cm above ground) and bottom (30cm) levels of the coffee canopy was declined by 81% and 88% respectively for the Open site, and 86% and 92% for the Leucaena site. There were no differences in the number of flowers branch–1 tree–1 and fruit set between shaded and unshaded coffee sites. However, a significant difference in first fruit drop was observed.

关键词： Robusta Coffee Shaded Coffee Light Intensity Coffee Production Vietnam

Reproductive Biology of a Blue-tail Skinks(Plestiodon)Population from a Temperate Forest,East-central Puebla,México

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Asian Herpetological Research 2024年第3期15卷 183-193页

作者： Manuel FERIA-ORTIZ isaías hazarmabeth SALGADO-UGARTE Museo de Zoología Facultad de Estudios Superiores ZaragozaUniversidad Nacional Autónoma de MéxicoIztapalapaMéxico Laboratorio de Biometría y Biología Pesquera Facultad de Estudios Superiores ZaragozaUniversidad Nacional Autónoma de MéxicoIztapalapaMéxico

We studied the cycles of reproduction and fat bodies of a blue-tailed skink population of an undescribed species of the Plestiodon brevirostris *** maturity is attained by females and males as they both reach about 59 mm of *** started in June-July,with ovulation occurring during late-October to mid-November,and parturition in *** size varied from two to six,with a mean of 3.86±0.15 embryos in uterus,and showed a positive correlation with female body mass and *** gestation,a significant increase in the average wet mass of embryos in uterus was *** comparison,there were no notable changes in the average dry *** growth data suggest that sexual maturity,both males and females,is reached at 16-17 months of *** and epididymides exhibited maximal weight during *** regression occurred in *** apparently takes place from mid-summer to early *** stored in female fat bodies are used for vitellogenesis and for nutrition during the winter *** males,the stored lipids appear to be used in reproductive activities during the mating season.

关键词： growth litter size minimum size at maturity reproduction Scincidae viviparity

Fever assessment in children under five: Are we following the guidelines?

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World Journal of Clinical Pediatrics 2024年第1期13卷 62-72页

作者： Hasan M isa Ahmed J isa Murtadha A Alnasheet Mahmood M Mansoor Department of Pediatrics Salmaniya Medical ComplexManama 26671Bahrain Department of Pediatrics Arabian Gulf UniversityManama 26671Bahrain Department of General Surgery Salmaniya Medical ComplexManama 26671Bahrain

BACKGROUND Fever is a common cause of medical consultation and hospital admission,particularly among ***,the United Kingdom’s National Institute for Health and Care Excellence(NICE)updated its guidelines for assessing fever in children under five years of *** efficient assessment and management of children with fever are crucial for improving patient *** To evaluate fever assessment in hospitalized children and to assess its adherence with the NICE Fever in under 5s *** We conducted a retrospective cohort review of the electronic medical records of children under five years of age at the Department of Pediatrics,Salmaniya Medical Complex,Bahrain,between June and July *** data,vital signs during the first 48 h of admission,route of temperature measurement,and indications for admission were *** was defined according to the NICE *** children were divided into five groups according to their age(0-3 months,>3-6 months,>6-12 months,>12-36 months,and>36-60 months).Patients with and without fever were compared in terms of demography,indication for admission,route of temperature measurement,and other vital *** with the NICE Fever in the under 5s guideline was *** compliance was defined as>95%,partial compliance as 70%-95%,and minimal compliance as≤69%.Pearson’sχ^(2),Student’s t test,the Mann-Whitney U test,and Spearman’s correlation coefficient(rs)were used for *** Of the 136 patients reviewed,80(58.8%)were *** median age at admission was 14.2[interquartile range(IQR):1.7-44.4]months,with the most common age group being 36-60 ***-six(26.4%)patients had fever,and 100(73.6%)were *** commonest age group for febrile patients(>12-36 months)was older than the commonest age group for afebrile patients(0-3 months)(P=0.027).The median weight was 8.3(IQR:4.0-13.3)*** with fever had higher weight than those without fever[10.2(IQR:7.3-13.0)vs 7

关键词： Fever Pediatrics Admission patterns Temperature measurement Guidelines Bahrain

Value Function Mechanism in WSNs-Based Mango Plantation Monitoring System

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Computers, Materials & Continua 2024年第9期80卷 3733-3759页

作者： Wen-Tsai Sung Indra Griha Tofik isa Sung-Jung Hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung411030TaiwanChina Department of Informatics Management Politeknik Negeri SriwijayaPalembang30139Indonesia Department of Information Technology Takming University of Science and TechnologyTaipei City11451TaiwanChina

Mango fruit is one of the main fruit commodities that contributes to Taiwan’s *** implementation of technology is an alternative to increasing the quality and quantity of mango plantation product *** this study,a Wireless Sensor Networks(“WSNs”)-based intelligent mango plantation monitoring system will be developed that implements deep reinforcement learning(DRL)technology in carrying out prediction tasks based on three classifications:“optimal,”“sub-optimal,”or“not-optimal”conditions based on three parameters including humidity,temperature,and soil *** key idea is how to provide a precise decision-making mechanism in the real-time monitoring system.A value function-based will be employed to perform DRL model called deep Q-network(DQN)which contributes in optimizing the future reward and performing the precise decision recommendation to the agent and system *** WSNs experiment result indicates the system’s accuracy by capturing the real-time environment parameters is 98.39%.Meanwhile,the results of comparative accuracy model experiments of the proposed DQN,individual Q-learning,uniform coverage(UC),and NaÏe Bayes classifier(NBC)are 97.60%,95.30%,96.50%,and 92.30%,*** the results of the comparative experiment,it can be seen that the proposed DQN used in the study has themost optimal *** with 22 test scenarios for“optimal,”“sub-optimal,”and“not-optimal”conditions was carried out to ensure the system runs well in the real-world *** accuracy percentage which is generated from the real-world data reaches 95.45%.Fromthe resultsof the cost analysis,the systemcanprovide a low-cost systemcomparedtothe conventional system.

关键词： Intelligent monitoring system deep reinforcement learning(DRL) wireless sensor networks(WSNs) deep Q-network(DQN)

Analyzing co-infection dynamics:A mathematical approach using fractional order modeling and Laplace-Adomian decomposition

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Journal of Biosafety and Biosecurity 2024年第2期6卷 113-124页

作者： isa Abdullahi Baba Fathalla A.Rihan Evren Hincal Department of Mathematical Sciences Bayero UniversityKanoNigeria Department of Mathematical Sciences College of ScienceUAE UniversityAl Ain 15551United Arab Emirates Department of Mathematics Faculty of ScienceHelwan UniversityCairo 11795Egypt Department of Mathematics Near East University TRNCMersin 10Turkey

The co-infection of HIV and COVID-19 is a pressing health concern,carrying substantial potential *** study focuses on the vital task of comprehending the dynamics of HIV-COVID-19 coinfection,a fundamental step in formulating efficacious control strategies and optimizing healthcare ***,we introduce an innovative mathematical model grounded in Caputo fractional order differential equations,specifically designed to encapsulate the intricate dynamics of *** model encompasses multiple critical facets:the transmission dynamics of both HIV and COVID-19,the host’s immune responses,and the influence of treatment *** approach embraces the complexity of these factors to offer an exhaustive portrayal of co-infection *** tackle the fractional order model,we employ the Laplace-Adomian decomposition method,a potent mathematical tool for approximating solutions in fractional order differential *** this technique,we simulate the intricate interactions between these variables,yielding profound insights into the propagation of ***,we identify pivotal contributors to its *** addition,we conduct a meticulous analysis of the convergence properties inherent in the series solutions acquired through the Laplace-Adomian decomposition *** examination assures the reliability and accuracy of our mathematical methodology in approximating *** findings hold significant implications for the formulation of effective control ***,healthcare professionals,and public health authorities will benefit from this research as they endeavor to curtail the proliferation and impact of HIV-COVID-19 co-infection.

关键词： COVID-19 Human immuno deficiency virus Co-infection Laplace-Adomian decomposition method Series solution Convergence

Computational modeling and inhibition of SARS-COV-2 Papain-like protease enzyme:A potential therapeutic approach for COVID-19

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Journal of Biosafety and Biosecurity 2024年第3期6卷 211-221页

作者： Auwal Rabiu Auwal isa Abdullahi Baba Evren Hincal Fathalla ARihan Department of Biochemistry Faculty of ScienceChulalongkorn UniversityBangkok 10330Thailand Department of Mathematical Sciences Bayero University KanoKanoNigeria Department of Mathematics Near East UniversityNorth CyprusCyprus Department of Mathematical Sciences College of ScienceUAE UniversityAl Ain 15551United Arab Emirates Department of Mathematics Faculty of ScienceHelwan UniversityCairo 11795Egypt

This study aims to investigate the potential impact of inhibitors targeting the papain-like protease(PLpro)of SARS-CoV-2 on viral replication and the host immune response.A mathematical model was developed to simulate the interaction among susceptible cells,infected cells,PLpro,and immune cells,incorporating data on PLpro *** numerical simulations using MATLAB,the model parameters were estimated based on available statistical *** results indicate that strategically positioned inhibitors could impede the virus’s access to host cellular machinery,thereby enhancing the immune response and gradually reducing susceptible and infected cells over *** dynamics of the viral enzyme PLpro showed reduced activity with the introduction of the inhibitor,leading to a decline in viral ***,the immune cell population exhibited functional recovery as the inhibitor suppressed PLpro *** findings suggest that inhibitors targeting PLpro may serve as therapeutic interventions against SARS-CoV-2 by inhibiting viral replication and bolstering the immune response.

关键词： COVID-19 Viral replication Papain-like protease(PLpro) Mathematical modeling Noncovalent inhibitors Immune response Interferon stimulated gene product 15(ISG-15)

Seasonal variation and host sex affect bat–bat fly interaction networks in the Amazonian savannahs

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Integrative Zoology 2024年第3期19卷 400-416页

作者： Paulo MEJIA Gustavo Lima URBIETA Bruna da Silva XAVIER isaíJorge de CASTRO JoséJúlio DE TOLEDO Gustavo GRACIOLLI Lucio AndréVIANA DIAS William Douglas CARVALHO Programa de Pós-Graduação em Biodiversidade Tropical Universidade Federal do Amapá(UNIFAP)MacapáAPBrazil Programa de Pós-Graduação em Ecologia Instituto de BiologiaCentro de Ciências da SaúdeUniversidade Federal do Rio de Janeiro(UFRJ)Rio de JaneiroRJBrazil Laboratório de Mamíferos Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá(IEPA)MacapáAPBrazil Programa de Pós-Graduação em Biologia Animal Laboratório de SistemáticaEcologia e Evolução(LSEE)Instituto de BiociênciasUniversidade Federal de Mato Grosso do Sul(UFMS)Campo GrandeMTBrazil Terrestrial Ecology Group(TEG-UAM) Departamento de EcologíaFacultad de CienciasUniversidad Autónoma de MadridMadridSpain Centro de Investigación en Biodiversidad y Cambio Global(CIBC-UAM) Universidad Autónoma de MadridMadridSpain

Bats are the second-most diverse group of mammals in the world,and bat flies are their main ***,significant knowledge gaps remain regarding these antagonistic interactions,especially since diverse factors such as seasonality and host sex can affect their network ***,we explore the influence of such factors by comparing species richness and composition of bat flies on host bats,as well as specialization and modularity of bat–bat fly interaction networks between seasons and adult host *** captured bats and collected their ectoparasitic flies at 10 sampling sites in the savannahs of AmapáState,northeastern region of the Brazilian *** female bats being more parasitized and recording greater bat fly species richness in the wet season,neither relationship was statistically *** pooled network could be divided into 15 compartments with 54 links,and all subnetworks comprised>12 *** total number of links ranged from 27 to 48(for the dry and wet seasons,respectively),and female and male subnetworks had 44 and 41 links,*** values were very low for the pooled network and for all *** results revealed higher bat fly species richness and abundance in the wet season,whereas specialization and modularity were higher in the dry ***,the subnetwork for female bats displayed higher specialization and modularity than the male ***,both seasonality and host sex contribute in different ways to bat–bat fly network *** studies should consider these factors when evaluating bat–bat fly interaction networks.

关键词： Amapá Amazon biome bat flies bats interaction networks