bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Flow Liquefaction Susceptibility in Non-Plastic Silty Soils Using the Seismic Cone
Authors: Nierwinski Helena Paula , Schnaid Fernando , Odebrecht Edgar
Published: January 2024

The state parameter allows the evaluation of the in situ state of soils, which can be particularly useful in tailings impoundments where flow liquefaction is the most common failure model. Positive state parameter values characterize a contractive response during shearing and, for non-plastic soils, can indicate flow liquefaction susceptibility. This paper presents a methodology to classify and estimate the state parameter (Ψ) for non-plastic silty soils based on seismic cone penetration measurements. The method expands on a previous methodology developed for sands that use the ratio of the small strain shear modulus and the cone tip resistance G0/qt for classification and Ψ assessment. For non-plastic silty soils, drainage conditions during cone penetration must be accounted for and are used to allow soil classification and correct the cone tip resistance. An empirical formulation is proposed to correct qt for partial drainage measurements and predict Ψ for non-plastic silty soils. Mining tailings results of in situ and laboratory tests were used to validate the proposed methodology producing promising responses. The Ψ value estimated through the proposed methodology are in the range of those obtained from laboratory tests, indicating an adequate prediction of behavior for non-plastic silty soils.
Preliminary Study on Total Component Analysis and In Vitro Antitumor Activity of Eucalyptus Leaf Residues
Authors: Wu Juanjuan , Wang Zixuan , Cheng Xinying , Lian Yunhe , An Xiaodong , Wu Di
Published: January 2024

Eucalyptus globulus is widely introduced and cultivated in Yunnan province. Its foliage is mainly used to extract eucalyptus oil, but the by-product eucalyptus residue has not been fully utilized. Based on the above reasons, in this study, we sought to explore the comprehensive utilization potential of eucalyptus resources. The total composition of eucalyptus residue was analyzed by ultra performance liquid chromatography-time-of-flight mass spectrometry (UPLC-Q/TOF MS), and the active components and nutrient components of eucalyptus leaf residue were determined by chemical methods and liquid phase techniques. Meanwhile, the antitumor activity of triterpenoids in eucalyptus leaves was evaluated by tetramethylazazole blue colorimetric assay (MTT). The results of qualitative analysis indicated that 55 compounds were identified from eucalyptus residue, including 28 phloroglucinols, 17 terpenoids, 3 flavonoids, 5 fatty acids, 1 amino acid and 2 polyphenols. Among them, the pentacyclic triterpenoids, in eucalyptus residue, were mainly oleanane type and urthane type. The results of quantitative determination indicated that the content of triterpenoid compounds was 2.84% in eucalyptus residue, which could be enhanced to 82% by silicone separation. The antitumor activity results showed that triterpenoid compounds have moderate inhibitory effects on human breast cancer cell MDA-MB-231, gastric adenocarcinoma cell SGC-7901 and cervical cancer cell Hela. The half maximal inhibitory concentration (IC50) was 50.67, 43.12 and 42.65 μg/mL, respectively. In this study, the triterpenoids from eucalyptus leaf residues were analyzed to reveal that the triterpenoids from eucalyptus leaf have antitumor effects and have potential to be developed as antitumor drugs.
Modeling Peptide–Protein Interactions by a Logo-Based Method: Application in Peptide–HLA Binding Predictions
Authors: Doytchinova Irini , Atanasova Mariyana , Fernandez Antonio , Moreno F. Javier , Koning Frits , Dimitrov Ivan
Published: January 2024

Peptide–protein interactions form a cornerstone in molecular biology, governing cellular signaling, structure, and enzymatic activities in living organisms. Improving computational models and experimental techniques to describe and predict these interactions remains an ongoing area of research. Here, we present a computational method for peptide–protein interactions’ description and prediction based on leveraged amino acid frequencies within specific binding cores. Utilizing normalized frequencies, we construct quantitative matrices (QMs), termed ‘logo models’ derived from sequence logos. The method was developed to predict peptide binding to HLA-DQ2.5 and HLA-DQ8.1 proteins associated with susceptibility to celiac disease. The models were validated by more than 17,000 peptides demonstrating their efficacy in discriminating between binding and non-binding peptides. The logo method could be applied to diverse peptide–protein interactions, offering a versatile tool for predictive analysis in molecular binding studies.
Aromas: Lovely to Smell and Nice Solvents for Polyphenols? Curcumin Solubilisation Power of Fragrances and Flavours
Authors: Schmidt Michael , Huber Verena , Touraud Didier , Kunz Werner
Published: January 2024

Natural aromas like cinnamaldehyde are suitable solvents to extract curcuminoids, the active ingredients found in the rhizomes of Curcuma longa L. In a pursuit to find other nature-based solvents, capable of solving curcumin, forty fragrances and flavours were investigated in terms of their solubilisation power. Aroma compounds were selected according to their molecular structure and functional groups. Their capabilities of solving curcumin were examined by UV–Vis spectroscopy and COSMO-RS calculations. The trends of these calculations were in accordance with the experimental solubilisation trend of the solubility screening and a list with the respective curcumin concentrations is given; σ-profiles and Gibbs free energy were considered to further investigate the solubilisation process of curcumin, which was found to be based on hydrogen bonding. High curcumin solubility was achieved in the presence of solvent (mixtures) with high hydrogen-bond-acceptor and low hydrogen-bond-donor abilities, like γ- and δ-lactones. The special case of DMSO was also examined, as the highest curcumin solubility was observed with it. Possible specific interactions of selected aroma compounds (citral and δ-hexalactone) with curcumin were investigated via 1H NMR and NOESY experiments. The tested flavours and fragrances were evaluated regarding their potential as green alternative solvents.
Quantitative Predictive Studies of Multiple Biological Activities of TRPV1 Modulators
Authors: Wei Xinmiao , Huang Tengxin , Yang Zhijiang , Pan Li , Wang Liangliang , Ding Junjie
Published: January 2024

TRPV1 channel agonists and antagonists, which have powerful analgesic effects without the addictive qualities associated with traditional analgesics, have become a focus area for the development of novel analgesics. In this study, quantitative structure–activity relationship (QSAR) models for three bioactive endpoints (Ki, IC50, and EC50) were successfully constructed using four machine learning algorithms: SVM, Bagging, GBDT, and XGBoost. These models were based on 2922 TRPV1 modulators and incorporated four types of molecular descriptors: Daylight, E-state, ECFP4, and MACCS. After the rigorous five-fold cross-validation and external test set validation, the optimal models for the three endpoints were obtained. For the Ki endpoint, the Bagging-ECFP4 model had a Q2 value of 0.778 and an R2 value of 0.780. For the IC50 endpoint, the XGBoost-ECFP4 model had a Q2 value of 0.806 and an R2 value of 0.784. For the EC50 endpoint, the SVM-Daylight model had a Q2 value of 0.784 and an R2 value of 0.809. These results demonstrate that the constructed models exhibit good predictive performance. In addition, based on the model feature importance analysis, the influence between substructure and biological activity was also explored, which can provide important theoretical guidance for the efficient virtual screening and structural optimization of novel TRPV1 analgesics. And subsequent studies on novel TRPV1 modulators will be based on the feature substructures of the three endpoints.
Similar Patterns of Dysautonomia in Myalgic Encephalomyelitis/Chronic Fatigue and Post-COVID-19 Syndromes
Authors: Ryabkova Varvara A. , Rubinskiy Artemiy V. , Marchenko Valeriy N. , Trofimov Vasiliy I. , Churilov Leonid P.
Published: January 2024

Background: There is a considerable overlap between the clinical presentation of post-COVID-19 condition (PCC) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Many of their common symptoms can be linked to dysregulation of the autonomic nervous system (dysautonomia). This study aimed to objectively assess autonomic function in a general group of patients with PCC and in a group of patients with ME/CFS whose disease was not related to COVID-19. We hypothesize that the similarity in the chronic symptoms of patients with PCC and ME/CFS extends to objective autonomic nervous system abnormalities. Methods: Synchronous recordings of an electrocardiogram and continuous dynamics of blood pressure in the digital artery using the Penaz method were obtained using the spiroarteriocardiorhythmography method in 34 patients diagnosed with ME/CFS, in whom the onset of the disease was not associated with COVID-19, 29 patients meeting the PCC definition and 32 healthy controls. Heart rate variability (HRV) and systolic and diastolic blood pressure variability (BPV) were assessed at rest and in tests with fixed respiratory rates. Indicators of baroreflex regulation (baroreflex effectiveness index and baroreflex sensitivity) were additionally determined at rest. Results: The total power and power of low-frequency and high-frequency of RR interval variability at rest as well as baroreflex sensitivity were significantly lower both in PCC and ME/CFS patients compared to healthy controls. Several diagnostic prediction models for ME/CFS were developed based on HRV parameters. During slow breathing, the HRV parameters returned to normal in PCC but not in ME/CFS patients. The correlation analysis revealed a close relationship of HRV, BPV parameters and baroreflex sensitivity with fatigue, but not with HADS depressive/anxiety symptoms in the ME/CFS and PCC patients. Conclusions: A similar pattern of HRV and baroreflex failure with signs of a pathological acceleration of age-dependent dysautonomia was identified in the ME/CFS and PCC patients. The clinical, diagnostic and therapeutic implications of these findings are discussed, in light of previously described relationships between inflammation, vascular pathology, atherosclerotic cardiovascular disease and autonomic dysfunction.
Cooperative Terrestrial–Underwater FSO System: Design and Performance Analysis
Authors: Álvarez-Roa Carmen , Álvarez-Roa María , Raddo Thiago R. , Jurado-Navas Antonio , Castillo-Vázquez Miguel
Published: January 2024

In this paper, we propose, design, and evaluate a new hybrid terrestrial–underwater optical communication link for providing high-speed connectivity between land and underwater systems. A device based on an amplify-and-forward strategy is considered and used for the hybrid optical link. A performance analysis of the proposed hybrid system is then carried out, taking into account both the atmospheric and underwater channels and their respective degradation sources. Different networking scenarios and conditions are evaluated. To this end, the channel model of the terrestrial free-space optical (FSO) link is modeled using the Gamma–Gamma distribution, while the underwater optical link is modeled using the Weibull distribution. The former takes into account atmospheric and turbulence attenuation, geometric spread and pointing errors, while the latter takes into account underwater and turbulence attenuation and geometric spread. Accordingly, a new analytical closed-form expression for the bit error rate (BER), which depends on the cumulative distribution function of the holistic hybrid system, is derived. Analytical results show that pointing errors as well as atmospheric and oceanic turbulence seriously degrade the performance of the hybrid system. In addition, ocean turbulence leads to the occurrence of a BER floor in some scenarios. This is the first time that such a network is proposed and modeled under the assumption of critical channel impairments.
Differences between Germans in the ‘Young’, ‘Adult’, and ‘Over-40s’ Age Groups Regarding Symptoms of Depression and Anxiety and Satisfaction with Life
Authors: Herbertz Felix Viktor , Zimmermann Tanja
Published: January 2024

Depression and anxiety, the most prevalent mental disorders worldwide, are among the top four mental disorders in Germany, and both impact life satisfaction. The prevalence of depression, anxiety, and life satisfaction in different age groups has not been sufficiently examined. The present cross-sectional study of a non-clinical sample of a German-speaking population analyzes the links between age—specifically, certain life stages—as predictors for depression and anxiety symptoms and life satisfaction. Therefore, three age groups were formed from all the participants (N = 478): ‘Young’ (18–24 years), ‘Adult’ (25–39 years), and ‘Over-40s’ (40 years and older). The German versions of the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder Scale-7 (GAD-7), and the German Quality of Life Questionnaire (FLZ-A) were used for our analysis. Our statistical analysis consisted of χ2 tests and an ANCOVA for determining the associations between categorical variables. The Over 40s age group showed statistically significantly higher life satisfaction than the ‘Adult’ age group. Comparing levels of depressive or anxiety symptoms, there were no statistically significant differences across the age groups. These findings highlight the significance of considering age as a factor in understanding mental health and well-being. Further research is warranted to investigate supplementary factors that could potentially contribute to the variations observed within the different age groups.
Exploring the Link between Mindful Eating, Instagram Engagement, and Eating Disorders: A Focus on Orthorexia Nervosa
Authors: Christodoulou Efstratios , Markopoulou Verra , Koutelidakis Antonios E.
Published: January 2024

Mindful eating is an increasingly popular dietary practice that may mediate the symptomatology of eating disorders. Orthorexia nervosa is a recently proposed eating disorder characterized by excessive concern for body image, healthy eating, and calorie control. The purpose of this study is to investigate the relationship between mindful eating, Instagram engagement, and eating disorders, with a focus on orthorexia nervosa. This cross-sectional study involving 407 adults explored the interplay between mindful eating, psychological distress, and eating disorders, notably orthorexia nervosa and their association with Instagram use. The data extraction and analysis were conducted employing SPSS v28 and R-Statistics. Utilizing Mindful Eating Scale (MES-16), Eating Disorder Examination Questionnaire Short (EDE-QS), Orthorexia Nervosa Questionnaire-Revised (ORTO-R), and Depression Anxiety Stress Scale (DASS-21) validated scales, alongside inquiries into Instagram usage, significant correlations emerged. MES-16 demonstrated a robust negative association with both EDE-QS (r = −0.501, p < 0.001) and ORTO-R (r = −0.519, p < 0.001), while EDE-QS and ORTO-R showed significant correlations with depression, anxiety, and stress (p < 0.001). Variations in ORTO-R mean scores were notably distinct across different mindful eating adherence categories (p < 0.001), emphasizing the negative relationship between mindful eating and orthorexia nervosa. Additionally, participants with extensive daily Instagram use displayed significantly higher ORTO-R scores compared to minimal users (p < 0.05). These findings suggest a negative link between mindful eating with eating disorders and orthorexia nervosa, highlighting mindful eating’s potential role in reducing orthorexia nervosa tendencies. Furthermore, Instagram use seems associated with psychological distress and elevated orthorexia nervosa levels.
Boreal (Eemian) Transgression in the Northeastern White Sea Region: Multiproxy Evidence from Bychye-2 Section
Authors: Taldenkova Ekaterina , Ovsepyan Yaroslav , Rudenko Olga , Stepanova Anna , Bauch Henning A.
Published: January 2024

Reconstructing interglacial marine environments helps us understand the climate change mechanisms of the past. To contribute to this body of knowledge, we studied a high-resolution 455 cm-thick sediment sequence of the Boreal (Eemian) marine beds directly overlying Moscovian (Saalian) moraine in the Bychye-2 section on the Pyoza River. We analyzed lithological and microfossil (foraminifers, ostracods, pollen, aquatic palynomorphs) variations at the studied site. Stratigraphical zonation is based on the local and well-established regional pollen zones, correlated with the western European pollen zones. The studied marine beds accumulated from the end of the Moscovian glacial (>131 ka) until ca. 119.5 ka. We distinguished three successive phases: a seasonally sea-ice-covered, relatively deep, freshened basin in the initial rapid flooding stage (>131–130.5 ka); a deep basin in the maximum flooding phase with less extensive sea ice cover (130.5–130.25 ka); and a shallow basin with reduced sea ice cover (130.25–119.5 ka). According to a pollen zone comparison with other sites, the regional glacioisostatic rebound started ca. 130 ka. The diverse warm-water assemblages of benthic foraminifers and ostracods containing typical Baltic Sea species occurred during the regression, mainly 128–124 ka, thus giving evidence for a relatively long-lasting connection between the White and Baltic Seas.
The Miracle of Vitamin B12 Biochemistry
Authors: Spataru Tudor
Published: January 2024

For decades, the comparison of experimental data with theoretical results in studying the biochemistry of vitamin B12 has been very confusing. While the methylcobalamin cofactor-dependent Methionine Synthase process can undergo unlimited turnovers, and some of the adenosylcobalamin-dependent processes run with close-to-unity equilibrium constants (e.g., with close-to-zero energy barriers), the DFT and QM/MM based on density functional theory, the most used and appreciated methods for calculating the electronic structure of molecules, have been showing a much shorter than experimental-determined Co-N distances in the vitamin B12 cofactors of Co+2 and the inadequate large energetic barriers of their enzymology bioprocesses. The confusion was even larger since some in vitro experimental data showed large barriers to the vitamin B12 cofactor reactions (which in fact play a destructive role in the Methionine Synthase process and which barriers were caused mostly by the influence of the solvents in which the reaction took place). It reached the point where solid contributions to the study of the biochemical processes of vitamin B12 were almost officially questioning the correctness of the experimental determination of the Co-N chemical bond distances in the cobalt(II) cofactors of vitamin B12. Unexpectedly, all the theoretical biochemistry of the vitamin B12 cofactors began to agree with all in vivo experimental data only when they were treated with the MCSCF method, the method that considers the orbital mixing, or in other words, the Pseudo-Jahn–Teller Effect. MCSCF data establish unknown mechanistic details of the methyl radical and hydrogen transfers, the origin of the electronic transfers between bioreagents, and the nature and the relationship between the bioreactions. The Pseudo-Jahn–Teller Effect, e.g., orbital mixing, governs vitamin B12 chemistry in general and provides insight into particular details of vitamin B12-dependent reactions in the human body. It turns out that the DFT or QM/MM based on DFT method theoretical data are incongruent with the experimental data due to their limitations, e.g., the unaccounted-for effects of orbital mixing.
Effective Utilization of Sulfur Wastewater by Photocatalytic System Using B/CuO/ZnO
Authors: Tateishi Ikki , Furukawa Mai , Katsumata Hideyuki , Kaneco Satoshi
Published: January 2024

B-doped zinc oxide/copper oxide composites prepared using a simple method showed high photocatalytic hydrogen production activity in the presence of aqueous sulfide solutions. Co-modification of the CuO composite with B-doping caused an increase in the charge separation efficiency and light absorption capacity. The sacrificial effect was thermodynamically enhanced by manipulating the composition of the sulfide solution. A maximum hydrogen production activity of 224 μmol g−1 h−1 was achieved under 450 nm light irradiation in a photocatalytic system with optimized B doping, a CuO composite, and a sulfide sacrificial agent concentration.
Mortality Trend of Severe COVID-19 in Under-Vaccinated Population Admitted to ICU in French Amazonia
Authors: Matheus Séverine , Houcke Stéphanie , Lontsi Ngoulla Guy Roger , Higel Nicolas , Ba Abesetou , Cook Fabrice , Gourjault Cyrille , Nkontcho Flaubert , Demar Magalie , Nacher Mathieu , Djossou Félix , Hommel Didier , Résiere Dabor , Pujo Jean Marc , Kallel Hatem
Published: January 2024

(1) Background: Until December 2021, French Guiana (FG), located in South America, faced four consecutive COVID-19 epidemic waves. This study sought to analyze the mortality trend of severe COVID-19 patients admitted to the referral ICU of FG. (2) Methods: We conducted a prospective, observational, and non-interventional study in ICU at Cayenne Hospital. We included 383 patients older than 18 admitted with SARS-CoV-2-related pneumonia hospitalized from May 2020 to December 2021. The study covers three periods. Period 1 (Waves 1 and 2, original variant), period 2 (Wave 3, Gamma variant), and period 3 (Wave 4, Delta variant). (3) Results: The median age was 63 years (52–70). Frailty was diagnosed in 36 patients over 70 (32.4%). Only 4.8% of patients were vaccinated. The median ICU LOS was 10 days (6–19). Hospital mortality was 37.3%. It was 30.9% in period 1, 36.6% in period 2 (p = 0.329 vs. period 1), and 47.1% in period 3 (0.015 vs. period 1). In multivariate analysis, independent factors associated with hospital mortality included age greater than 40 years (]40–60 years] OR = 5.2, 95%CI: 1.4–19.5; (]60–70 years] OR = 8.5, 95%CI: 2.2–32; (]70+ years] OR = 17.9, 95%CI: 4.5–70.9), frailty (OR = 5.6, 95%CI: 2.2–17.2), immunosuppression (OR = 2.6, 95%CI: 1.05–6.7), and MV use (OR = 11, 95%CI: 6.1–19.9). This model had an overall sensitivity of 72%, a specificity of 80.4%, a positive predictive value of 68.7%, and a negative predictive value of 82.8%. (4) Conclusions: The mortality of severe COVID-19 patients in French Amazonia was higher during the Delta variant wave. This over-death could be explained by the virulence of the responsible SARS-CoV-2 variant and the under-vaccination coverage of the studied population.
A Three-Dimensional Fully-Coupled Fluid-Structure Model for Tsunami Loading on Coastal Bridges
Authors: Baragamage Dilshan S. P. Amarasinghe , Wu Weiming
Published: January 2024

A three-dimensional (3D) fully-coupled fluid-structure model has been developed in this study to calculate the impact force of tsunamis on a flexible structure considering fluid-structure interactions. The propagation of a tsunami is simulated by solving the 3D Navier–Stokes equations using a finite volume method with the volume-of-fluid technique. The structure motion under the tsunami impact force is simulated by solving the motion equation using the generalized alpha method. The structure motion is fed back into the fluid solver via a technique that combines a sharp-interface immersed boundary method with the cut-cell method. The flow model predicts accurate impact forces of dam-break flows on rigid blocks in three experimental cases. The fully coupled 3D flow-structure model is tested with experiments on a large-scale (1:5) model bridge under nonbreaking and breaking solitary waves. The simulated wave propagation and structure restoring forces generally agree well with the measured data. Then, the fully-coupled fluid-structure model is compared with an uncoupled model and applied to assess the effect of flexibility on structure responses to tsunami loading, showing that the restoring force highly depends on the dynamic characteristics of the structure and the feedback coupling between fluid and structure. The maximum hydrodynamic and restoring forces decrease with increasing structure flexibility.
Asynchronous Robust Aggregation Method with Privacy Protection for IoV Federated Learning
Authors: Zhou Antong , Jiang Ning , Tang Tong
Published: January 2024

Due to the wide connection range and open communication environment of internet of vehicle (IoV) devices, they are susceptible to Byzantine attacks and privacy inference attacks, resulting in security and privacy issues in IoV federated learning. Therefore, there is an urgent need to study IoV federated learning methods with privacy protection. However, the heterogeneity and resource limitations of IoV devices pose significant challenges to the aggregation of federated learning model parameters. Therefore, this paper proposes an asynchronous robust aggregation method with privacy protection for federated learning in IoVs. Firstly, we design an asynchronous grouping robust aggregation algorithm based on delay perception, combines intra-group truth estimation with inter-group delay aggregation, and alleviates the impact of stragglers and Byzantine attackers. Then, we design a communication-efficient and security enhanced aggregation protocol based on homomorphic encryption, to achieve asynchronous group robust aggregation while protecting data privacy and reducing communication overhead. Finally, the simulation results indicate that the proposed scheme could achieve a maximum improvement of 41.6% in model accuracy compared to the baseline, which effectively enhances the training efficiency of the model while providing resistance to Byzantine attacks and privacy inference attacks.
Research on the Optimal Leasing Strategy of Electric Vehicle Manufacturers
Authors: Wu Doudou , Li Jizi
Published: January 2024

In the context of actively and steadily implementing the “dual carbon” strategy, two competing electric vehicle manufacturers (manufacturers m1 and m2) were selected as research objects to construct two different leasing strategy models for electric vehicle manufacturers, namely, m1 provided a unit rental electric vehicle strategy and m2 provided a fixed rental electric vehicle strategy. We studied the optimal car rental strategy and pricing of the two manufacturers under the situation of m2 providing and not providing rental service efforts, and the influence of relevant factors on the optimal decision are explored. It shows that the price of electric vehicles rented by consumers per unit increases with the combined effect of the coefficient of rental service effort and the marginal cost of the rental service effort, while the price of fixed rental electric vehicles decreases with the combined effect of both. When the unit rental preference coefficient is large, the unit rental of electric vehicles will give m1 maximum profit. When the rental service effort coefficient is high, m2 is the most profitable. The efforts to provide leasing services of m2 increase their own interests to a certain extent. The greater the effort coefficient of leasing services, the smaller the marginal cost of leasing services, and the optimal social welfare reaches the maximum. The conclusion of the article can provide relevant leasing insights for electric vehicle manufacturers and also provide certain theoretical guidance for promoting electric vehicle leasing service strategies.
An Efficient Fuzzy Clustering Algorithm for Mining User Session Clusters on Web Log Data
Authors: Mallik Moksud Alam , Zulkurnain Nurul Fariza
Published: January 2024

Data mining is extremely vital to get important information from the web. Additionally, web usage mining (WUM) is essential for companies. WUM permits organizations to create rich information related to the eventual fate of their commercial capacity. The utilization of data that is assembled by Web Usage Mining gives the organizations the capacity to deliver results more compelling to their organizations and expanding of sales. Client access patterns can be mined from web access log information using Web Usage Mining (WUM) techniques. Because there are so many end-user sessions and URL resources, the size of web user session data is enormous. Human communications and non-deterministic browsing patterns increment equivocalness and dubiousness of client session information. The fuzzy set-based approach can solve most of the challenges listed above. This paper proposes an efficient Fuzzy Clustering algorithm for mining client session clusters from web access log information to find the groups of client profiles. In addition, the methodologies to preprocess the net log data as well as data cleanup client identification and session identification are going to be mentioned. This incorporates the strategy to do include choice (or dimensionality decrease) and meeting weight task assignments
Mapping Visualization Analysis of Computer Science Research data in 2017-2021 on the Google Scholar database with VOSviewer
Authors: Al Husaeni Dwi Fitria , Nandiyanto Asep Bayu Dani
Published: January 2024

The purpose of this research is to examine the development and interrelationships between terms in computer science research using mapping analysis with VOSviewer. The research data was collected from the Google Scholar database for the period 2017-2021 using the Publish or Perish 7 application. Data collection was based on the keyword "Computer Science". The data search results found 992 articles that were considered relevant. The results showed that computer science research experienced high popularity in 2018 with a total of 232 articles. Computer science research experienced a decline in research in 2019-2021. Based on the mapping analysis that has been done using the VOSviewer application, computer science terms are connected to 4 main terms in each cluster, namely student, computer science education, education, and skills. Computer science research is mostly associated with the term student, namely the strength of link 221. This research can be used as a reference in determining the research theme or research discussion topic in the field of computer science.
Development of Pec Based Electrical Load Schedule Software
Authors: Alvaro Ralph G. , B. Cabrera Eric Kenneth , G. Gutierrez Raineir Ryan , D. Punzalan Joshua , G. Serrano Louie , L. Tangcuangco Alma
Published: January 2024

This paper presents the development of PEC-based electrical load schedule software for residential electrical services design. All the sources that will be used for the computation and data will be based on PEC. The testing of the project will be carried out in accordance with PEC as well as other approved codes. Calculating tools to help you understand the process of accurately sizing a commercial electrical panel based on proposed loads. To emphasize, accurate load sizing is best performed by an electrical engineer, which is reviewed by the building department in your jurisdiction. The software was developed using Visual Basic (VB. net) programming language. Vb.net, or Visual Basic, is a development of the BASIC programming language. It is intended to be used in conjunction with an Integrated Development Environment (IDE). Prior to the development of IDEs, programming languages like BASIC relied significantly on the DOS command-line. A load schedule for different operating scenarios will show when peak consumption occurs and provide an opportunity to find out if all the high loads must operate at this time. It serves as a valuable calculation tool for electrical engineers, students, and technicians by providing a faster, easier, and more accurate means of carrying out some basic calculations, such as determination of the size of wire; conduit sizes; circuit breaker ratings; the main feeder size of wires; main circuit breaker ratings; voltage drop; and riser diagram using Philippine Electrical Code Tables. The results of these calculations help the designer to make vital decisions such as cable sizing and nominal ratings of protective devices required by each circuit and by the entire installation, in line with appropriate standards and regulations.
Design and Implementation of a Cloud Based Decentralized Cryptocurrency Transaction Platform
Authors: Kommey Benjamin , Tchao Eric Tutu , Osae-Addo Emmanuel , Kofi Yeboah Asiedu Biney , Biney Derick
Published: January 2024

Trading in the crypto-currency market has seen rapid growth and adoption, as well as the interest in crypto related technologies like blockchain and smart contracts. Smart contracts have gained popularity in building so called Decentralized Applications (dApps) and Decentralized Finance (DeFi) apps, mainly because they are more secure, trustworthy, and largely distributed (removes centralized control). DeFi applications run on the blockchain technology and are secured by blocks (nodes) connected by cryptographical hash links. DeFi applications have a great potential in the crypto-currency trading domain, providing more secure and reliable means of trading, and performing transactions with crypto-currencies. Only verified transactions are added to the blockchain after being approved by miners through a consensus mechanism and then it is replicated (distributed) among the nodes on the blockchain network. This research paper proposes a DeFi Crypto Exchange by integrating a numerous-signature stamp with a crypto API. A numerous-signature stamp solves the issue of transaction verifiability and authenticity. A crypto API provides the data about each crypto currency with which trades and transactions will be performed. This paper also discusses the technical background of the technology and a few related works. Decentralization of transactions through smart contracts on the blockchain will improve trust, security and reliability of transactions and trades.
Phishing Website Detection Using Several Machine Learning Algorithms: A Review Paper
Authors: Veach Alexander M. , Abualkibash Munther
Published: January 2024

Phishing is one of the major web social engineering attacks. This has led to demand for a better way to predict and stop them in a commercial environment. This paper seeks to understand the research done in the field and analyse the next steps forward. This is done by focusing on what goes into the selection of proper features, from manual selection to the use of Genetic Algorithms such as ADABoost and MultiBoost. Then a look into the classifiers in use, Neural Networks and Ensemble algorithms which were prominent alongside some novel approaches. This information is then processed into a framework for cloud-based and client-based phishing website detection, alongside suggestions for possible future research and experiments that could help progress the field.
A Computational Bibliometric Analysis of E-Groceries Analysis Using VOSviewer
Authors: Lesmana Rudhi , Rifaldi M Ihsan
Published: January 2024

The purpose of the research is to combine mapping analysis with VOSviewer as well as Publish or Perish software to do a computerized bibliometric analysis of the topic "E-Groceries Analysis." The method used descriptive-quantitative approach in conjunction with bibliometric analysis in which the data were retrieved from Google Scholar. Based on the results, E-Groceries Analysis research decreases every year, proven by the fact that 2018 have 25 articles and increased to 32 articles in 2019, 49 articles in 2020, and 98 articles in 2021. Based on further findings of this research, it can be concluded that there are several understudied sectors in E-Groceries Analysis that may be examined further to increase the efficacy of E-Groceries analysis. This research is also anticipated to serve as a reference for future research in defining and assessing the research subject, as well as a reference for field to be studied in E-Groceries analysis.
ICT Application as A Supervisory Tool for Effective Instructional Delivery Approach for Secondary Schools in Kwara State
Authors: Yahaya Ajoke Kudirat , Bolaji Hameed Olalekan
Published: January 2024

Information and communication technology (ICT) has become an integral part of modern society, and its applications are not limited to the business and industry sectors alone. The effective use of ICT in schools depends on the availability of appropriate infrastructure and resources. The current research aims to examine the extent to which ICT tools enhance the effectiveness of instructional delivery in secondary schools in Kwara State. This study used a survey research method to conduct a systematic inquiry into a subject. Five research questions will guide the study using qualitative data collection methods. The study will be conducted in three randomly selected secondary schools in Kwara State with a sample of 150 teachers and 60 school leaders participating. The questionnaire used was titled ICT Applications as supervisory tools for effective instructional delivery. The qualitative data will be collected through in-depth interviews with 150 teachers and 60 school administrators in the selected schools. The findings advocate that ICTs have the potential to improve the quality of education and enhance the learning experiences of students. The study also highlights the challenges that teachers face in the use of ICT and the need for the government and other stakeholders to address these challenges to ensure the effective use of ICTs in education.
PENGARUH PERMAINAN JENGA TERHADAP PENURUNAN KECEMASAN PESERTA PELATIHAN UKOM PERDAGANGAN EKSPOR
Authors: Aminoto Toto , Agustina Dwi
Published: January 2024

Tingkat kecemasan seringkali muncul akibat tekanan psikologis. Salah satu bentuk olahraga untuk menurunkan tingkat kecemasan adalah permainan Jenga (menumpuk dan menarik balok kayu untuk membentuk menara). Penelitian ini bertujuan untuk mengetahui pengaruh permainan Jenga terhadap penurunan tingkat kecemasan peserta pelatihan di Pusdiklat ASI Kota Bekasi. Penelitian ini dilaksanakan pada bulan April sampai dengan Bulan Juni 2023. Desain penelitian pada penelitian ini adalah kuasi dengan tipe two groups pre and post test design. Sampel yang berjumlah 24 orang dipilih secara purposive sampling, dan dibagi menjadi 2 kelompok yaitu kelompok intervensi dan kelompok kontrol, masing-masing kelompok terdiri dari 12 responden. Variabel terikatnya adalah kecemasan sedangkan variabel bebasnya adalah permainan Jenga. Analisis data meliputi univariat dan bivariat dengan menggunakan Uji-T. Intervensi berhasil menurunkan mean kecemasan pada kelompok intervensi dari 29,50 menjadi 10,58 dengan nilai p value sebesar 0,000. Mean kelompok intervensi sebesar 17,58 lebih rendah dibandingkan kelompok kontrol dengan p-value sebesar 0,000. Dengan demikian dapat disimpulkan bahwa permainan Jenga efektif dalam menurunkan kecemasan. Permainan Jenga sebaiknya diberikan kepada peserta pelatihan pada saat proses pelatihan berlangsung sebagai salah satu alternatif untuk mengurangi rasa cemas, sehingga tingkat kelulusan uji kompetensi meningkat lebih tinggi.
Juventudes y constitución subjetiva
Authors: Szapu Ezequiel
Published: January 2024

En el presente artículo se expone parte de los resultados de una investigación socioeducativa en torno a las experiencias emocionales de estudiantes secundarios de la Provincia de Buenos Aires, Argentina. Mediante entrevistas en profundidad y grupos focales se recupera la voz de las/os jóvenes con el objetivo de comprender las relaciones de significado entre los lazos afectivos que se establecen en la escuela y la constitución de subjetividad. Las juventudes, atravesadas por condiciones materiales y simbólicas en una trama de desigualdades, se encuentran en un período de construcción identitaria. La obtención de reconocimiento se torna imprescindible para tramitar el dolor social y avanzar en la búsqueda de sentido vital que caracteriza a este grupo. La intención de este escrito es poner sobre la mesa el modo en que la institución escolar, como espacio de socialización por excelencia, puede colaborar en la reparación simbólica de las heridas sociales mediante el establecimiento de lazos que operen como soportes en las trayectorias vitales de sus estudiantes.
La Violencia y homofobia pos-pandemia entre estudiantes universitarios
Authors: Prieto Quezada María Teresa , Carrillo Navarro José Claudio
Published: January 2024

Esta es una investigación de campo exploratorio cuyo principal objetivo, es analizar la violencia homofóbica que se presenta entre estudiantes de nivel superior del Centro Universitario de Ciencias Económico Administrativas (CUCEA) de la Universidad de Guadalajara (UdeG) y los significados que los hombres le dan en su convivencia cotidiana. Con este análisis se pudo identificar la incidencia de homofobia en este nivel educativo, y se hizo mediante entrevistas tomadas de una muestra por conveniencia de 532 personas masculinas. La muestra probabilística se procesó mediante técnicas de estadística descriptiva y las entrevistas se llevaron a cabo de febrero a septiembre de 2022. Los resultados dieron cuenta del nivel de violencia, discriminación y homofobia que persiste entre los estudiantes (hombres), lo cual desmitifican el imaginario social de que la homofobia es un fenómeno exclusivo de los niveles sociales no escolares. Las evidencias encontradas nos muestran no solo su existencia, sino los matices específicos que esta realidad adquiere en el ámbito de la educación superior pos-pandemia.
Dynamic Governance in increasing Millennial Participation Food Independent South Sumatra Movement Program (GSMP)
Authors: Anthony Steven , Iriani Artika , Nofrima Sanny , Basista Ronny
Published: January 2024

Appropriate measures to address food security at the local level can be designed and implemented, understanding people's perceptions and judgments about their food security, will have practical implications for designing better interventions to improve community food security. This study uses a qualitative methodology through interviews, and then the data is coded using Nvivo 12 Plus. To realize this, the Province of South Sumatra implemented the South Sumatra Self-Sufficient Food Movement through efforts to change the community's mindset from "buyers" to "producers" covering the cultivation of plants, fish, and poultry. However, its implementation is still experiencing many obstacles, including beneficiaries still focusing on their main activities to earn income so that the assistance received has not been utilized optimally, GSMP socialization has not been optimal for beneficiaries, field assistance related to plant and fish cultivation has not been optimal, as well as assistance provided services provided have not been fully adapted to field conditions and beneficiary skills. So, it is expected to be able to recommend solutions for implementing the South Sumatra Independent Food Movement Program (GSMP), especially in Palembang City. This study concludes that millennial participation in the South Sumatra Independent Food Movement is relatively high and is influenced by factors such as interest, knowledge, and community involvement. Thus, further efforts are needed to increase interest, knowledge, and community involvement in this program to achieve the goals of the South Sumatra Independent Food Movement.
Implementation of the Electronic System for Collection of Value-Added Tax on Trade: Appointing Foreign and Local Companies as Collectors
Authors: Arif Wildan , Rahayu Ning
Published: January 2024

The large number of offers of services and goods in utilizing digitalization is the background for the PMSE VAT policy in increasing state income broadly and evenly. PSME's VAT policy is also faced with the challenge of creating equality in terms of paying state contributions between traditional businessmen and economic activities that use the internet or among domestic businesses. Selection Appointment of entrepreneurs to collect electronic trade with PKP who have not been appointed as collectors creates inequality in terms of paying taxes and reporting SPT where every company appointed as PMSE collector is required to report reporting in accordance with rules and policies. This study aims to determine the PMSE VAT collection policy through the appointment of local digital companies that have and have not been appointed as PMSE VAT collectors in paying attention to the principles of a good taxation system and knowing the level playing field of local companies that have and have not been appoint PMSE VAT collector based on the theory of fairness. The type of assessment in this thesis uses qualitative methods with literature studies and interviews. Informants in this study were staff of the fiscal policy agency, staff of the directorate general of taxation, lecturers and tax consultants. The conclusions obtained explain that the policy in collecting electronic sales tax to pay attention to the principles of a good taxation system has not been properly fulfilled.
Comparative Public Law in the United Kingdom
Authors: Bell John
Published: January 2024

In the UK, comparative law is an influence but not a determining one in judicial decisions, unless it comes from a familiar source, mainly from the common law. Scholarly comparative law, which is substantial and thriving, contributes in a more indirect fashion to create an environment in which some decisions become thinkable to judges and legislators. In the current atmosphere of a retreat from European-wide legal rules, comparing different national legal systems will be more influential than the appeal to pan-European standards in both judicial decisions and in inspiring legislation.
Developments in Comparative Public Law in South Africa
Authors: Quinot Geo
Published: January 2024

In South Africa, the study and practice of law involve comparing different legal systems due to the complex historical blend of Roman-Dutch, English, indigenous, and religious laws. Constitutional supremacy since 1994 has amplified the importance of comparative legal method. The 1996 Constitution itself drew from various legal systems, endorsing the use of foreign law in interpreting rights. Comparative legal method is vital across all legal domains, and has greatly grown in relevance in constitutional and administrative law following constitutionalisation. This contribution explores the use of comparative legal method in South African constitutional and administrative law. It uses Herwig Hofmann’s three categories of comparative frameworks, namely “law as category”, “law as source” and “law as variable”, to consider the continuity and discontinuity between historical reliance on comparative method in South Africa and comparative legislative and judicial practices under the Constitution in the areas of constitutional and administrative law.
L’état du droit public comparé : la tradition romano-germanique
Authors: Bottini Eleonora , Gómez Fernández Itziar , Passaglia Paolo , Ragone Sabrina
Published: January 2024

Cette contribution analyse l’état du droit public comparé dans différents pays relevant de la tradition romano-germanique (Allemagne, Espagne, France et Italie), sous la forme de réponses à des questions concernant les rapports de cette discipline avec le droit privé comparé, le rôle qui lui est propre au sein des universités, ainsi que son impact sur le droit positif et sur la jurisprudence.
Le droit chinois peut-il se comparer ?
Authors: Chaigne Christine
Published: January 2024

Le « droit public » ou du moins les lois administratives sont prédominantes dans le paysage juridique chinois actuel. Le « droit   public » comparé, en tant que discipline ou pratique, occupe une place plus récente mais bien vivante. Il faut toutefois entrer profondément dans la matière et comprendre la logique du discours officiel chinois pour saisir les limites de la comparaison. Le droit constitutionnel comparé, manié par de grands noms de la doctrine ou par le Parti-État, est utilisé en vue de la justification des systèmes politique et juridique de la République Populaire de Chine. Ce constat s’étend au droit administratif. S’il peut y avoir pour le Parti-État chinois une comparaison avec les lois étrangères, voire de larges emprunts (dans le domaine de la sécurité biologique par exemple), c’est sur des points techniques précis ou dans des domaines nouveaux, dont la maitrise est garante de la légitimité du système.