bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peripheral and central dysregulation of the kynurenine pathway in Parkinson's disease
Authors: Jellen Leslie C , Galvis Martha L Escobar , Sha Qiong , Isaguirre Christine , Johnson Amy , Madaj Zach , Lewis Mechelle M , Sheldon Ryan D , Kong Lan , Huang Xuemei , Brundin Lena 
Published: November 2024

Abstract

We previously demonstrated that kynurenine pathway (KP) dysregulation is associated with Parkinson’s disease (PD) and its symptoms. Here, we profiled 16 KP-related markers in a second, independent cohort; plasma: n=202 (116 PD (“OFF”), 86 controls); CSF: n=183. Consistent with previous findings, we detected significantly higher concentrations of neurotoxic 3-hydroxykynurenine in plasma and lower concentrations of neuroprotective kynurenic acid along with higher neurotoxic quinolinic acid/kynurenic acid ratios in CSF of PD patients. Additionally, 10 markers showed sex-based differences, with more pronounced dysregulation in female patients. These markers loaded to a single principal component linked to higher UPDRS I and II scores. Together, this suggests a composite signature of KP dysregulation in PD associated with worse non-motor and motor symptoms and more prevalent in women. This work shows that KP dysregulation in peripheral and central compartments is linked to symptom severity in PD and warrants further systematic studies unraveling sex-dependent metabolic differences.
Android Malware Detection using TripleGuard Neural Network and Hybrid Bird Mating with Battle Royal Optimization
Authors: Alasmari Sultan , Mubarak Gaidha 
Published: November 2024

Abstract

Android malware detection is a process that identifies and mitigates malicious software targeting Android operating systems, enhancing device security and reducing unauthorized access. However, it has potential disadvantages like false positives, advanced malware evasion, and the need for regular updates. To overcome this problem, this paper proposes a DL model with meticulous data preprocessing, eliminating missing records and standardizing numerical features through Z-score normalization. Feature extraction is then carried out to capture essential patterns within the pre-processed data. A unique hybrid optimization model called Hybrid Bird Mating with Battle Royal Optimization (HBMBRO), blending the Bird Mating Optimizer (BMO) and Battle Royale Algorithm (BRO), selects the most relevant features for optimal model performance. This study introduces a robust methodology for Android Malware detection, the "TripleGuard Neural Network" (TripleGuard NN), which amalgamates three specialized neural network components: The Optimized Autoencoder, Gated Recurrent Unit (GRU), and Artificial Neural Network (ANN). The synergy between the three neural network components offers versatile and robust Android Malware detection, with the Optimized Autoencoder identifying anomalies, the GRU analyzing sequential data for temporal Android Malware patterns, and the ANN delivering general Android Malware detection capabilities. The models within the TripleGuard NN are rigorously trained using MATLAB, and achieved an accuracy of 99.1%. This methodology promises a comprehensive and adaptable approach to Android Malware detection.
Recharge Estimation of Andassa River Catchment, North-western Ethiopia
Authors: GETANEH AMARE , Gashu Yohanis , Minbiyew Teferi 
Published: November 2024

Abstract

Estimating the recharge amount and investigate the hydrogeology of a given area is essential for sustainable management of groundwater resource. The objective of this study was to estimate groundwater recharge of Andassa catchment using chloride mass balance, base flow separation, soil moisture balance, water balance methods, and hydrogeologicalcharacteristics of the catchment. Meteorological, river discharge, pump test data together with well completion reports were used to estimate the recharge value and characterize the hydrogeology of the catchment.
The average recharge value of the area is 307.3mm/year. There are tertiary and quaternary formations in the study area. The groundwater bearing formation of the area is grouped as: very low, low, moderate, high and very high aquifers based on transmissivity, yield of the borehole and springs. Very high productive aquifer in the low lands is recharged from regional groundwater flow and the middle elevated areas aquifer mainly shows local recharge.
Anti-acne Property of Octopus Skin Pigment, Xanthommatin An Insilico Evaluation
Authors: VAITHYANATHAN PRAKASH 
Published: November 2024

Abstract

Acne vulgaris and other diseases such as endocarditis, endophthalmitis and prosthetic joint infections are caused by the pathogenic bacterium, Propionibacterium acnes. In particular, Acne vulgaris affects people of all ages. Research prospects in the field of skin health has benefitted tremendously by the use of computational systems employing sophisticated docking algorithms and simulation studies to help identify right chemical compounds to target opportunistic pathogenic bacteria. Xanthommatin, an antioxidant skin pigment molecule of the marine organism, Octopus, or in general, Cephalopods, has been identified, for the first time in the world, as a potential candidate for topical application to target the acne bacterium through bioinformatics studies. Xanthommatin is shown to interact with the surface protein, Sialidase enzyme, of the P. acnes bacterium through docking studies followed by the MD simulation studies for 100 nanoseconds.
Impact of Eco-friendly and Non-Eco-friendly Thermal Barrier Coatings on the Surface Temperature of Airframes with Steel Substrates: An ANSYS APDL Simulation Study
Authors: KARTHIK MURI VENKATESWARA 
Published: November 2024

Abstract

This study investigates the influence of environmentally friendly and non-environmentally friendly thermal barrier coatings (TBCs) on the surface temperature of steel-based airframes subjected to high heat flux. Transient thermal simulations were conducted using ANSYS APDL to assess the thermal performance of ten TBC materials, five of which are environmentally friendly (Silicon Carbide, Titanium Nitride, Yttria-Stabilized Zirconia, Zirconia, and Alumina) and five non-environmentally friendly (Tantalum Carbide, Nickel-Chromium, Chromium Carbide, Tungsten Carbide, and Molybdenum Disilicide). The simulations applied a constant heat flux of 10,000 W/m2 over a period of 300 seconds, with initial conditions set to 300 K. The airframe without a TBC exhibited significantly higher temperatures compared to those with coatings. Results indicate that environmentally friendly materials achieved up to 31.75% temperature reduction, while non-environmentally friendly materials showed superior performance, reducing temperatures by up to 41.98%. This research provides valuable insights into the thermal efficiency of TBCs and highlights the trade-offs between environmental sustainability and thermal performance, emphasizing the potential for eco-friendly coatings to bridge the gap with non-eco-friendly alternatives through future material innovations.
Green nanocomposite of silica-supported CaO: synthesis by sol-gel method and characterization
Authors: Simpen I Nengah , Winaya I Nyoman Suprapta , Suarsana I Ketut , Sugita I Ketut Gede 
Published: November 2024

The sol-gel method offers several advantages over other techniques for synthesizing nanocomposites, including simplicity, cost-effectiveness, and low processing temperatures. In this study, a silica-supported CaO nanocomposite was synthesized using eggshells as the calcium source and rice husk ash as the silica support via the sol-gel method. The green silica-supported CaO nanocomposite was characterized using various techniques, including BET surface area and porosity analysis, FTIR for functional groups identification, XRD for crystallinity and crystallite size determination, SEM and TEM for surface morphology examination, as well as TGA for thermal stability assessment. The XRD and the FTIR analysis clearly demonstrated the successful synthesis of the silica-supported CaO nanocomposite. The silica-supported CaO composite had a crystalline structure combination of 55.45 % silica and 20.46 % CaO, as well as exhibited the stretching vibrations of Si-O-Si, Ca-O, Si-O-Ca, and Si-O functional groups and a bending vibration of Si-O functional group. The SEM and the TEM images revealed that the composite particles were irregularly shaped and evenly distributed compared to green-silica (G-silica) and green-CaO (G-CaO). The particle size of the composite was distributed in the range of 0.1–100 nm, with a more uniform distribution compared to G-silica (dominant in the range of 80.1–100 nm) and G-CaO (dominant in the range of 0.1–20 nm). TGA results showed that the thermal stability of the silica-supported CaO composite was enhanced by silica support compared to G-CaO. These findings demonstrate that CaO derived from eggshells and silica from rice husk ash are promising materials for the fabrication of multifunctional silica-supported CaO nanocomposite
MEPSI (Mutriss Enhanced Preference Selection Index): a novel method for ranking alternatives
Authors: Dua Tran Van , Trung Do Duc 
Published: November 2024

This paper introduces a novel method named Mutriss Enhanced Preference Selection Index (MEPSI) for ranking alternatives. MEPSI is a hybrid of MUTRISS (Multiple-Triangles Scenarios) and PSI (Preference Selection Index). In this study, PSI is utilized with two distinct functions: one as a ranking function for alternatives, also known as Multi-Criteria Decision Making (MCDM), and the other as a weighting function for criteria. The criteria weights calculated by the PSI method are used to rank the alternatives using the MUTRISS method. Thus, for each specific problem, the combination of MUTRISS and PSI provides two sets of ranking data for the alternatives: one from using PSI and the other from the hybrid MUTRISS-PSI method. This hybrid forms a new method called MEPSI. Accuracy tests for MEPSI were conducted on various problems. The tests conducted are all related to the ranking of different types of materials in various applications. Case 1 is to rank five types of materials used for manufacturing car shock absorbers, each specified by six criteria. Case 2 is to rank nine types of materials used for manufacturing gears, each with five criteria. And Case 3 is to rank four types of materials used for manufacturing connecting rods, each specified by 15 criteria. In these tests, the accuracy of MEPSI was evaluated using Spearman's rank correlation coefficient by comparing the ranking results of alternatives using MEPSI against other methods. The results indicated no significant differences in the rankings of alternatives when ranked by MEPSI compared to other methods. Most importantly, the top-ranked alternative found by MEPSI consistently matched the top rank identified by other MCDM methods. This study proposes MEPSI as a highly accurate method to the repository of MCDM methods
Study of the impact of biopolymer and geosynthetics reinforcement on soil strengthening
Authors: Tulebekova Assel , Kusbergenova Zhanar , Dosmukhambetova Balganym , Abilmazhenov Talgat , Zhumadilov Iliyas 
Published: November 2024

Under contemporary conditions, various soil reinforcement methods are employed, each possessing distinct characteristics and applications. These methods aim to improve the strength characteristics and stability of soil foundations. This study evaluates the effectiveness of combined soil reinforcement using a biopolymer (xanthan gum) and a geosynthetic (non-woven geotextile). The study included preparation of the modified soil, pH determination, and structural analysis using scanning electron microscopy to evaluate the physicochemical properties of soil, particle morphology, and interaction with the biopolymer. Unreinforced soil samples, as well as samples modified with biopolymer and combined reinforcement (biopolymer-geosynthetics), were shear tested to study their strength properties and resistance to deformation. The aim was to examine the effect of different reinforcement methods on the mechanical behavior of the soil. The test results showed that the combined reinforcement with biopolymer and nonwoven geosynthetics improved the shear strength. It was observed particularly at a low shear stress level. At the same time, soil cohesion increased significantly, while the impact on the friction angle was generally negligible. The friction angle of the soil after combined reinforcement increased by 14 %, and soil cohesion increased from 8 kPa to 23 kPa. Discussing the application of the combined reinforcement method, technological features, and advantages of the technique is important for understanding the overall effectiveness of soil stabilization. This method of soil modification has demonstrated effectiveness and represents a promising approach for enhancing soil properties
Análise do perfil dos autores da Brazilian Medical Students Journal, um periódico científico gerido por estudantes de medicina
Authors: Castro Janaína de Oliveira e , Bandeira Lidiane Gomes , Bertuci João Vitor Freitas , Pereira Julia Ferreira Gomes , Pascon Filho Alessandro , Cordeiro Giulia Carvalhal de Almeida , Ortiz Jessica Vanina 
Published: November 2024

Foi realizada uma análise entre 2021 e 2024 do perfil dos autores e das publicações da Brazilian Medical Students Journal por meio de um estudo do tipo descritivo retrospectivo bibliométrico com abordagem quantitativa. No período analisado, observou-se oscilações no número de submissões, mas com diminuição constante na taxa de aceite, refletindo um esforço editorial para elevar a qualidade do periódico. A maioria dos artigos publicados veio de regiões do Nordeste, Sul e Sudeste. A filiação dos autores é predominantemente de instituições públicas, com maior parte de artigos possuindo autoras mulheres.
The Use of Artificial Intelligence in Teaching Writing Skills
Authors: Rosdiana Siti , Noercolies Muhammad Andreansyah , Fauzan Muhammad Hendrie 
Published: November 2024

Technology has entered the educational sphere, particularly in the learning of foreign languages. The usage of artificial intelligence helps students' learning. Artificial intelligence, particularly in the writing process, can bring convenience by swiftly supplying references, paraphrasing sentences, and now checking sentence structure, which will undoubtedly improve students' writing abilities. This study used a descriptive qualitative method. This strategy seeks to provide a comprehensive and detailed description of numerous events. This study employs purposive sampling to collect data. Participants in this study are English Language Study Program students in the academic year 2023/2024 who apply artificial intelligence in their writing. Data was collected through interviews, observations, and documentation. The data analysis revealed that the most popular artificial intelligence tools among students are Quill Bot, Grammarly, Chat GPT, Deep L, Perplexity AI, and Essay Writer. Most students employ artificial intelligence during the writing process, particularly when brainstorming and drafting. Because they believe there is an urgent need for artificial intelligence in the process of finding references and composing a sentence into a paragraph, a student requires it. However, according to study, they continue to employ artificial intelligence in its natural stages, with pupils using it based on their needs and talents.
A Ética e a Moral na Tomada de Decisões na Gestão Pública: Dilemas Vivenciados
Authors: Malagi Cleverson , Bernartt Maria Lourdes , Pontarolo Edilson 
Published: November 2024

Esta resenha versa sobre a tese de doutorado intitulada A Ética da Gestão Pública à Luz da Abordagem da Racionalidade: Os Dilemas Morais Vivenciados na Gestão de Riscos e Desastres em Santa Catarina, de Laís Silveira Santos, realizada no âmbito do Programa de Pós-Graduação em Administração da Universidade do Estado de Santa Catarina (UDESC) em 2019. O estudo objetivou conhecer e caracterizar de que maneira os gestores públicos deliberam diante de dilemas morais vivenciados na gestão pública de riscos e desastres no Estado de Santa Catarina. Buscou-se com a resenha apresentar os principais pontos estudados, a metodologia utilizada, a contribuição para a administração, para o ensino, para a educação, e, aos doutorandos como forma norteadora de trabalho a ser realizado. A Tese foi premiada tanto pela Sociedade Brasileira de Administração Pública, quanto pela CAPES no ano de 2020.
Non-Integer order calculation applied in Quantum Mechanics: Particle in a one-dimensional finite well
Authors: Escudero-Gómez Joel Elías , Mendoza Álvarez Ernesto Alejandro , Fernández Anaya Guillermo , Flores-Godoy José Job , Diago Cisneros Leo 
Published: November 2024

Fractional calculus is becoming increasingly important nowadays in studying and understanding fundamental physical phenomena, both simple and complex, through the formulation of generalized models. In the present work, a treatment of non-integer order is developed for the study of the wave function that describes the accessible states of a one-dimensional particle confined in a finite well with finite and constant walls, using a conformable derivative in describing the temporal evolution of the states of the system and Caputo-Fabrizio fractional derivative in describing its spatial evolution. By plotting the complete fractional solution ψ(x,t) for given values ​​of the Kernel indices α, β, γ, we recover the flat-wave front oscillations predicted by the integer-order calculation, whose superposition represents the particle state with uniform probability in all space. However, for another range of values ​​of the indices of the integral transformation, damping effects are observed, which do not seem to have a quantum mechanical physical meaning in themselves, but they do have a special physical-mathematical interest since such effects are related to the nature of the Caputo-Fabrizio operator, which as a non-local operator saves memory, that is, non-local spatial effects entail long-range interactions in a physical region, so the generalized wave function obtained does not depend exclusively on a point in space but on a region of space. When calculating the probability density, the fractional wave function shows a definite parity when γ is unitary, just as expected for a symmetric potential well. The generalized model obtained by incorporating a greater number of free parameters can represent an appropriate alternative formulation in the description of the probabilistic behavior of simple and complex quantum mechanical systems.
Palabras clave: Ecuación de Schrödinger fraccional; Derivada fraccionaria de Caputo, derivada fraccionaria de Caputo-Fabrizio, derivada general conformable de Khalil.
Mechanisms Underlying the Therapeutic Effects of Yiqi Wenyang Huwei Decoction in Treating Asthma Based on GEO Datasets, Network Pharmacology, Experimental Validation, and Molecular Docking
Authors: Xiang Shuangdi , Lu Yujaio , Cheng Linhui , Xue Hanrong 
Published: November 2024

Purpose:
The Yiqi Wenyang Huwei Decoction (YWHD) is an herbal formula frequently
utilized to treat asthma. Despite its wide usage, the specific mechanism of action remains
unknown. Through an in-depth investigation utilizing network pharmacology, molecular
docking techniques, and experimental validation, this study aims to uncover the molecular
mechanism and material basis of YWHD in the treatment of asthma.

Methods:
The compounds and targets of YWHD were gathered from various databases such
as TCMSP, PubMed, and CNKI. Additionally, asthma-related targets were obtained by combining
the GEO dataset with GeneCards and OMIM databases. The STRING platform was
employed to establish protein-protein interactions. GO and KEGG pathway enrichment analyses
were conducted using DAVID. Molecular docking was utilized to assess the binding affinity
between potential targets and active compounds. The asthma rat model was established
through OVA induction, and a lung function meter was used to detect Mch-induced Max Rrs.
HE staining was conducted to observe pathological changes, while ELISA was used to detect
levels of inflammatory factors IL4, IL6, IL13, and IgE in BLAF. Furthermore, qPCR was
used to detect levels of IL-1β, IL-6, JUN, and PTGS2 mRNA, while Western blot assay was
employed to measure phosphorylation levels of NF-κB and IKKα.

Results:
A comprehensive study revealed that YWHD has 188 active compounds and 250
corresponding targets. After conducting a topological analysis of the PPI network, the study
identified 14 high-activity targets, including JUN, PTGS2, IL6, IL1B, CXCL8, MMP9, IL10,
ALB, TGFB1, CCL2, IFNG, IL4, MAPK3, and STAT3. Further, GO and KEGG pathway enrichment
analysis indicated that YWHD targets inflammation-related genes and regulates IL-
17 and NF-kappa B signaling pathways. Animal studies have shown that YWHD can effectively
minimize airway Max Rrs, reduce the levels of inflammatory factors IL4, IL13, IL6,
and IgE in BLAF, and improve airway inflammation in rats with asthma. Molecular experiments
have also demonstrated that YWHD achieves this by down-regulating the expression
levels of IL-1β, IL-6, JUN, and PTGS2 mRNA, inhibiting the phosphorylation modification
levels of NF-κB and IKKα, and reducing the levels of inflammatory cytokines IL4, IL13,
IL6, and IgE in BALF of rats. Interestingly, molecular docking has revealed that the active
compounds in YWHD have a strong binding ability to the screening targets.

Conclusion:
This research endeavor systematically explicated the active constituents, prospective
targets, and signaling pathways of YWHD for asthmatic intervention. The study
provides an innovative notion and dependable resource for comprehending the molecular
mechanism and pharmaceutical screening of YWHD in the context of asthma treatment.
BIOPHILIC DESIGN ELEMENTS PREFERENCES AMONG GOVERNMENT OFFICERS IN PUTRAJAYA, MALAYSIA
Authors: Abdul Munir Fadhlizil Fariz , Sapian Abdul Razak , Zulkifli Nabilah Huda , Mansor Mazlina , Ibrahim Putri Haryati 
Published: November 2024

The theory of human dependence on other living things and their processes is called the “biophilia hypothesis”, and has been discussed in various literature. The theory was then translated into design features, namely "biophilic design", to be assimilated with the built environment, including residential areas, the medical sector and commercial property such as office buildings. Through the implementation of biophilic design in office buildings, the building occupants can improve their physiological and psychological well-being as they spend a lot of time at work. The study examines the selected government office buildings in Putrajaya to identify the preferred biophilic design elements among government office workers that can be used to reduce their stress, and thus improve their productivity. Based on the questionnaire survey that was answered by 977 respondents from different types of work schemes, different working space environments, and different employment periods among the government office workers in Putrajaya, the findings have revealed that natural ventilation, external view to nature, and daylighting are the most preferred biophilic design elements that can help them feel less stressed in the office working spaces; these are followed by attraction and beauty, prospect and refuge.