bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of Sleeve Flange Connection of Cold Formed Steel Channel Under Bending Test
Authors: R. Muhammad Alif I. , F. Kamarudin A. , Hakim Seyed , Dtauwel S. J. Mohamad , Faisal M. N. Ade 
Published: October 2024

Abstract

Cold-formed steel (CFS) is gaining popularity due to its lightweight construction, high strength, and sustainability. CFS is produced without heat, and it is utilized in construction, automobiles, and appliances. Sleeve flange (SF) connections are commonly used in civil and structural constructions like trusses, wall panels, flooring, etc. involving a sleeve that is used to connect over two CFS members by screwing them together. However, lack of engineering evident was focusing on this type of connection method previously. In this study, the bending performance of a 75 mm (D) x 35 mm (B) x 7 mm (S) lipped CFS C-section sleeve flange connection that is connected by M5.5 mm-diameter self-drilling screws with 20 mm length was investigated. Two main variables were considered for the laboratory testing which were the thickness and the number of screws. At the initial stage, the mechanical properties of the CFS C-section and screw fasteners were determined according to the ASTM E8 laboratory testing procedure. Twelve samples with CFS C-section thicknesses of 0.75 mm and 1.00 mm connected by two and four numbers of screws underwent a four-point bending test using 100 tn of Universal Testing Machine. The ultimate load (Pu) and failure mechanisms were investigated. From the laboratory finding, it was found that 1.00 mm thickness of CFS C-section samples was able to increase the minimum of 1.5 times of the ultimate moment against the 0.75 mm thickness for both two and four screw type of connections. Besides, the analytical calculations of moment resistance and buckling resistance were also carried out based on EC3 EN1993-1-3 and EC3 EN 1993-1-1 for comparison with the laboratory outcomes. The percentage of discrepancy between both analytical and experimental is inconsistent between both variables. It must be emphasized that there must be enough screws, especially for 0.75 mm thickness of CFS C-section, in order to make sure the resistance on both moment and buckling is satisfactory. Finally, all samples experienced two modes of failure, which were lateral torsional buckling (LTB) and local buckling failures.
Improved Bispectrum Adaptive Power Adjustment Algorithm for Power Detection HPLC Channel Diagnosis
Authors: Sun Yongqiang , Li Jianbin , Han Yonglu , Zhang Zhi 
Published: October 2024

Abstract

In response to the frequent issues of signal power loss and poor channel balance in High Power Line Communication (HPLC), this study proposes an improved dual spectrum adaptive power regulation algorithm model. This algorithm uses the bi spectral quadratic feature model method to establish a sparse observation model. By constructing a signal parameter database, the communication signal processing problem is transformed into an estimation problem of signal motion parameters. By matching the digital information in the input-output HPLC signal data pairs, a set of IF-THEN rules is constructed, and an adaptive power regulation algorithm model is incorporated into the data information rules. The experiment shows that its communication delay reaches a minimum of 280ms, greatly improving the HPLC channel equalization capability.
Digital Divide in the Hospitality Industry: Perspective from Türkiye
Authors: Baltacı Furkan , Özlü Bünyamin 
Published: October 2024

Abstract

This study aims to address the variables that cause the digital divide in the hospitality industry within the framework of Technology Readiness (TR). In this context, a comparative analysis of Generations Y (GEN Y) and Z (GEN Z) was conducted. An online survey was conducted with 880 people living in Gaziantep/Türkiye who had previously experienced tourism. The data obtained was analyzed using SPSS and AMOS. As a result, it was determined that the TR levels of GEN Y and Z were different from each other. GEN Y evaluates technology as discomfort and insecurity. GEN Z focuses on the innovative and practical aspects. According to the Tri-reference point (TRP) theory, the condition for using technology for GEN Y individuals is to feel trust and comfort. GEN Z, on the other hand, does not pay as much attention to these two factors as GEN Y. The prerequisites for GEN Z are utilitarianism and innovation. According to TRP, security and comfort should be prioritized to direct GEN Y to usage behavior. For GEN Z, plans should be made to emphasize the innovative and utilitarian aspects.
Eggshell-Derived Particle Composites with Epoxy Resin for Enhanced Radiation Shielding Applications
Authors: Tochaikul Gunjanaporn , Moonkum Nutthapong 
Published: October 2024

Abstract

This study explores the development and efficacy of eggshell-derived particle composites with epoxy resin for enhanced radiation shielding applications. Eggshells, predominantly composed of calcium carbonate were processed into particles of three distinct sizes: small, medium, and large. These particles were integrated into epoxy resin at a 50% weight ratio and characterized using a Laser Particle Size Distribution Analyzer. The mechanical properties and radiation shielding effectiveness of the composites were rigorously tested. Composites with large particles showed the weakest mechanical performance, with a maximum force of 5,674 N and stress of 52 MPa. Notably, small particle composites demonstrated superior results among the composites, with a maximum force of 9,125 N and stress of 97 MPa. Regarding radiation shielding properties, the small particle composites were the most effective, achieving the highest linear attenuation coefficient and the greatest reduction in radiation dose. This superior performance is attributed to the uniform dispersion and increased surface area of the smaller particles, which enhance radiation attenuation. These findings highlight the potential of using finely ground eggshell particles to create cost-effective, environmentally friendly materials for radiation protection, underscoring the importance of particle size optimization in the development of advanced composite materials.
Structural cohesion in online Web-based expertise-sharing communities
Authors: Perekhodko Eugenia 
Published: October 2024

Abstract

In this paper, we take a network-analytic approach to analyzing structural cohesion in online expertise-sharing communities. We investigate how the densification of structural cohesion inside online expertise-sharing communities is connected with the expertise propagation within the communities. Our findings show that increased structural cohesion is associated with increased levels of expertise in online expertise-sharing communities. We demonstrate the distribution of the experts within the first and second levels of cohesion of several online expertise-sharing communities and show how the most valuable experts in online expertise-sharing communities are distributed. Our findings enhance online communities with the theory of structural cohesion in online expertise-sharing communities and help to locate the experts.
Senegalese laterites for the treatment of arsenic-contaminated mining waters
Authors: DIOP Tidiane , Anne Gaudin , Lebeau Thierry 
Published: October 2024

Abstract

Arsenic contamination of water is a global issue with significant health consequences in many countries. Several treatment solutions exist, but they are often costly. In this study, the adsorption of arsenic was tested using two natural laterites from Eastern Senegal (Massawa (MASS) and Sabodala (SAB) locations). Their mineralogy consists of kaolinite (23-40%), quartz (23-39%), hematite (23-16%), and goethite (5-8%). Several conditions of arsenic adsorption by these two laterites were tested using batch experiments, including contact time, pH, and the ratio between the mass of laterite and the volume of arsenic-contaminated solution. Results indicate high removal rates of arsenic over a wide range of pH conditions (2-7, 8) for both laterites. For a laterite mass/water volume ratio of 0.1 g/50 ml, arsenic sorption reaches equilibrium within 60 minutes of contact time for MASS, whereas this time is between 60 and 120 minutes for SAB. A volume of 50 ml of arsenic-contaminated solution containing 5.69 mg/l of arsenic (V) is treated in 60 minutes with 1.5 g of both laterites. This short equilibrium time, compared to many studies reported on laterites worldwide, allows for higher water throughput, making the treatment of arsenic-contaminated water more efficient. The adsorption kinetics are slow and follow the pseudo-second-order model, suggesting the presence of chemisorption (inner-sphere adsorption) for both laterites. These results provide valuable insights into the practical suitability of Senegalese laterites for treating mine waters, particularly in the context of Senegal.
DI-AODV Model with Sustainable Data Management Scheme to Improve Performance and Data Accessibility in VANET
Authors: Mahajan Poonam M. , Patil Gouri M. 
Published: October 2024

Abstract

Cooperation and coordination between mobile nodes (vehicles) and static nodes (roadside infrastructure) are crucial in vehicular ad hoc networks (VANETs). Rapid topological modifications and the perception and transmission of physical environment parameters are the main problems of VANETs. Effective routing is a difficult problem in VANETs because to the vehicles' selfishness and the absence of a central coordinator. Effective routing requires optimal resource allocation, and this work suggested the DI-AODV model to boost VANET performance. In DI-AODV model, AODV protocol is modified by using Dijkstra Shortest Path Algorithm. Then, Data Replication method which is Sustainable Data Management Scheme is provided to ensure data delivery. The experimental result shows the proposed DI-AODV model provides better performance compared with other existing protocols in VANET.
HyperArc jako nowoczesna metoda radiochirurgii stereotaktycznej leczenia zmian wewnątrzczaszkowych
Authors: Kijeska Weronika , Graczyk Kinga , Skrobała Agnieszka 
Published: October 2024

Single-fraction SRS stereotactic radiosurgery is commonly used for brain tumors and intracranial metastases. It uses high-dose ionizing radiation while sparing healthy tissues. The aim of this study was to present and analyze the modern HyperArc stereotactic technique implemented on a classic linear accelerator with an MLC multileaf collimator. HyperArc is a special type of VMAT (Volumetric modulated arc therapy) technique that is an alternative solution to stereotactic radiosurgery (SRS). It enables the use of the isocentric technique for the simultaneous irradiation of many tumors in the brain area on a classic linear accelerator with a multileaf MLC collimator and also allows you to set different dose values ​​for individual tumors in one treatment plan. Through optimization, we avoid high doses in healthy tissue and between target volumes. Compared to other stereotactic techniques, it enables a much shorter irradiation time, similar to the treatment time in dynamic VMAT or IMRT Intensity modulated radiation therapy) techniques.
Metody kompensacji ruchomości oddechowej
Authors: Kijeska Weronika , Kosmowska Justyna , Świątek Katarzyna , Skrobała Agnieszka 
Published: October 2024

The motion of the patient's anatomical structures may affect the accuracy of its delivery. There are different methods of dealing with organ movement while delivering treatment. The aim of the study was to review solutions dealing with the respiratory motions of patients. Compensation of this motion during irradiation with external beams and control and monitoring systems have been presented and discussed. In addition to the methods used on classical linear accelerators, the respiratory tracking technique used on the CyberKnife was presented.
Comparative analysis of cloud properties over drought- and flood-prone regions of western India using machine learning techniques
Authors: Mevada Niyati , Srivastava Rohit 
Published: October 2024

ABSTRACT

Cloud properties are pivotal in analyzing rainfall patterns in monsoon-dependent countries such as India. The impact of climate change becomes more important in regions susceptible to hydrometeorological events due to different monsoon regimes. To examine regional heterogeneity of cloud properties, this study investigates long-term trends and predictive capabilities for cloud properties in drought- and flood-prone regions of western India, utilizing satellite data and employing machine learning (ML) models to comprehend intricate data patterns and enhance predictive accuracy. The results show higher mean and variability in cloud parameters over the flood-prone area due to favorable rain conditions, reflecting higher cloud microphysical and optical properties. These parameters negatively correlate with some cloud macrophysical properties and aerosol property in the drought-prone area. A moderate correlation exists between certain cloud characteristics of one region and another. Employing ML for regression analysis and comparing them for cloud effective radius across regions shows promising results, with random forest demonstrating high coefficient of determination (0.86, 0.93) and low root mean squared error (0.76, 1.15) due to its robustness and high accuracy. This research enhances the understanding of regional heterogeneity in India and shows that ML can help in predicting future cloud dynamics and climate by suitable model.
Confirmatory factor analysis for the implementation of Green Lean Six Sigma (GLSS) in Malaysia's wastewater treatment industry
Authors: Ishak Anuar , Mohamad Effendi , Rahman Muhammad Arfauz A. 
Published: October 2024

ABSTRACT

This study investigates the critical enablers influencing the implementation of Green Lean Six Sigma (GLSS) in Malaysia's wastewater treatment industry. Through an extensive literature review and insights from the industry, 30 distinct enablers were identified and categorized based on their characteristics within wastewater treatment plant (WWTP) organizations, aimed at ensuring successful GLSS execution. Structural equation modelling was employed to validate the research model, utilizing data from 296 certified professionals in Malaysia. The analysis revealed five significant enablers, indicating moderate to high levels of GLSS adoption within the industry, with the ‘strategic’ and ‘resource’ enablers emerging as particularly influential factors. Subsequent confirmatory factor analysis further affirmed the validity and reliability of these enablers. Moreover, the findings demonstrated both convergent and discriminant validity, reinforcing the efficacy of these factors in measuring GLSS implementation in Malaysian WWTPs. The study highlights the critical importance of strategic planning and resource allocation while emphasizing the need to address cultural and environmental factors for successful GLSS adoption in the industry. However, enablers based on linkages, particularly those pertaining to supplier relationships and customer satisfaction, garnered the least consensus among respondents, indicating areas necessitating further attention and improvement.
Boosting BOD/COD biodegradability of automobile service stations wastewater by electrocoagulation
Authors: Herrera Luis , Sigcha Pavlova , Banchón Carlos 
Published: October 2024

ABSTRACT

This study investigates the application of electrocoagulation for enhancing the biodegradability of organic matter in automobile service station wastewater, notorious for its contamination with polyaromatic hydrocarbons, heavy metals, and surfactants. Optimization of key variables such as electrode material, current density, and electrical consumption is conducted, with correlation analysis assessing their impact on water quality. Experimental setups utilize a vertical configuration comprising eight monopolar steel electrode plates as cathodes and eight counter electrodes (either iron or aluminum) connected in parallel. Results indicate that employing iron as the sacrificial electrode significantly increases the biochemical oxygen demand/chemical oxygen demand (BOD/COD) ratio, highlighting the efficacy of heightened power levels in enhancing organic matter degradation. Optimal removal efficiencies, including 87.5 for COD, 96.01 for BOD, and 92.2% for total solids, are achieved at a current density of 42 A/m2 and energy consumption of 360 kWh/m3, while maintaining pH levels between 6 and 9. The findings underscore the potential of electrocoagulation with Fe, Al as anodes, and stainless-steel cathodes as an efficient wastewater treatment approach, particularly for COD, BOD, and solid particle removal, thus contributing significantly to environmental sustainability.
Design, Synthesis, Molecular Docking, Pharmacokinetic Properties, and Molecular Dynamics Simulation of Sulfonyl Derivatives of Benzimidazole against Parkinson’s Disease
Authors: Roy Subarna , Basak Subhankar , Roy Shristi , Dey Paromita , Barman Hema , Singh Bhagat , Sarkar Kaushik , Sen Subhadeep , Das Rajesh Kumar , Debnath Sudhan , Biswas Goutam 
Published: October 2024

Introduction:
The disability and mortality related to Parkinson's disease (PD), a
neurodegenerative disease, are increasing globally at a faster rate than other neurological disorders.
With no permanent cure for PD, there is an urgent need to develop novel and effective
anti-PD drugs.

Method:
Targeting monoamine oxidases (MAO), which catalyze the breakdown of
neurotransmitters, is one way to treat neurodegenerative diseases. In this context, an initial molecular
docking of twenty designed sulfonyl derivatives of benzimidazole against monoamine
oxidase B (MAO-B) associated with PD was conducted using AutoDock Vina.

Result:
The results were compared with those of the conventional inhibitors, selegiline and
rasagiline. Based on the docking score, the in-silico pharmacokinetic properties (ADME),
drug-likeness, and toxicity profiles of the newly synthesized molecules were examined using
SwissADME, PreADMET, ProTox-3.0, vNN, and ADMETlab web tools. Then, twelve potential
derivatives were synthesized and characterized by IR, 1H-NMR, 13C-NMR, 19F-NMR
(for some compounds), and mass spectrometry. Derivatives 2cj and 1bj were the two molecules
having the best binding affinity of -11.9 and -11.8 kcal/mol, respectively, against MAOB,
exhibiting a higher binding affinity compared to that of some commercially available drugs.
A 50 ns MD simulation run was performed to observe the stability of the top two docked
complexes, MAO-B-2cj and MAO-B-1bj, in order to further validate the efficacy of those two
substances. Moreover, the MM-PBSA method was used to calculate the final, binding free energy
of the simulated (MAO-B-2cj) complex.

Conclusion:
This study indicates that the binding affinity of most of the hits was superior to
that of known MAO inhibitors; therefore, these newly synthesized benzimidazole derivatives
may be developed into essential drug candidates for the treatment of PD.
Distribution Of Microrna Counts Across Human Chromosomes
Authors: Wang Hsiuying 
Published: October 2024

Introduction:
microRNAs (miRNAs) are a class of non-coding RNAs that
play important roles in gene regulation. miRNAs are transcribed from DNA sequences
into primary miRNAs and then processed into precursor miRNAs and mature miRNAs.
miRNA gene counts in chromosomes for different species have been studied.

Method:
Certain chromosomes have higher numbers of miRNA genes in all species,
such as the X chromosome, while the Y chromosome has the fewest or no miRNA
genes. miRNA counts in different chromosomes might have a positive correlation with
coding gene counts in many species. In this study, a regression model was used to find
the relationship between the miRNA count and the coding gene count across human
chromosomes, and miRNA counts for 23 human chromosomes were predicted based on
this regression model. In addition, the chromosome locations for the miRNA biomarkers
of major depression, diabetes, Parkinson’s disease, and COVID-19 are discussed.

Results:
The results reveal that miRNA biomarkers of these diseases are located in various
chromosomes. The dispersion of miRNA locations across different chromosomes
might explain the complication of the pathology of these diseases. Moreover, diabetes
and COVID-19 have the largest number of miRNA biomarkers from Chromosome X.

Conclusion:
As Chromosome X is a sex chromosome, this phenomenon may explain
the gender difference in the prevalence or severity of diabetes and COVID-19. The significant
gender difference in the prevalence or severity of diabetes and COVID-19 might
be due to the regulation function of their miRNA biomarkers from Chromosome X.
Machine Learning-based Macrophage Signature for Predicting Prognosis and Immunotherapy Benefits in Cholangiocarcinoma
Authors: Huang Junkai , Chen Yu , Tan Zhiguo , Song Yinghui , Chen Kang , Liu Sulai , Peng Chuang , Chen Xu 
Published: October 2024

Aims:
We aimed to develop a macrophage signature for predicting clinical
outcomes and immunotherapy benefits in cholangiocarcinoma.

Background:
Macrophages are potent immune effector cells that can change phenotype
in different environments to exert anti-tumor and anti-tumor functions. The role of
macrophages in the prognosis and therapy benefits of cholangiocarcinoma was not fully
clarified.

Objective:
The objective of this study is to develop a prognostic model for cholangiocarcinoma.

Methods:
The macrophage-related signature (MRS) was developed using 10 machine
learning methods with TCGA, GSE89748 and GSE107943 datasets. Several indicators
(TIDE score, TMB score and MATH score) and two immunotherapy datasets (IMvigor210
and GSE91061) were used to investigate the performance of MRS in predicting
the benefits of immunotherapy.

Results:
The Lasso + CoxBoost method's MRS was considered a robust and stable model
that demonstrated good accuracy in predicting the clinical outcome of patients with
cholangiocarcinoma; the AUC of the 2-, 3-, and 4-year ROC curves in the TCGA dataset
were 0.965, 0.957, and 1.000. Moreover, MRS acted as an independent risk factor
for the clinical outcome of cholangiocarcinoma cases. Cholangiocarcinoma cases with
higher MRS scores are correlated with a higher TIDE score, higher tumor escape score,
higher MATH score, and lower TMB score. Further analysis suggested high MRS score
indicated a higher gene set score correlated with cancer-related hallmarks.

Conclusion:
With regard to cholangiocarcinoma, the current study created a machine
learning-based MRS that served as an indication for forecasting the prognosis and therapeutic
advantages of individual cases.
Clinical Characteristics and Outcomes in Tracheobronchopathia Osteochondroplastica: A Scoping Review
Authors: Nyanti Larry Ellee , Huan Nai Chien , Ramarmuty Hema Yamini , Ho Rong Lih , Lansing Meryl Grace , Chua Chia Zhen , Ng Wai Hoe , Khor Cheng Zhi , Low Jun Lyn , Mathew Ashwin , Cheah Kok Choon , Menon Saieeshwaran , Shanmugam Vikneshwara , Soe May Zoe , Kannan Kunji Kannan Sivaraman 
Published: October 2024

Background and Objective:
Tracheobronchopathia osteochondroplastica (TBOCP) is a
rare, benign condition characterised by the presence of multiple bony and cartilaginous nodules in
the tracheal and bronchial submucosa. Its etiology remains unknown, and clinical presentations
and management vary.

Methods:
We conducted a scoping review to evaluate clinical and radiological characteristics, diagnostic
investigations and prognostic outcomes of TBOCP in adults by exploring Pubmed and
SCOPUS databases.

Results:
From the search results of 675 studies, 98 were included in this scoping review. TBOCP
has a myriad of presenting symptoms and clinical severity but is notably an asthma mimic, displaying
an obstructive pattern on spirometry. Bronchoscopic tools were the most common interventional
diagnostic or management tool.

Conclusion:
While the etiology of TBOCP remains unknown, clinicians are alerted to its varied
presentations and classical histopathological and gross morphological appearance.