bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incorporation of TiO 2 and TiO 2 -Ag nanoparticles in recycled high-density polyethylene: Effect of the type of photocatalyst and incorporation method on photocatalytic activity for the decomposition of NO
Authors: Gavilanes Dayana , Cataño Francisco A. , Quiles-Carrillo Luis , Balart Rafael , Saavedra Marcela , Carbonnel Alexandre , Murillo Herman A. , Loyo Carlos , Zapata Paula A. 
Published: April 2024

Abstract

methods
extrusion and plasma immersion process. The first incorporation technique was introducing the nanoparticles during extrusion; this allowed us to obtain photocatalyst/HDPEr composites. The second technique was to deposit the photocatalyst nanoparticles on the surface of the polymer film by a two-step process: air plasma treatment and immersion in an aqueous photocatalyst suspension. The composites obtained by extrusion presented a higher Young’s modulus than that from neat HDPEr. It was due to the reinforcing effect of the nanoparticles, which was more significant after the incorporation of TiO2 nanoparticles. On the other hand, nanoparticle deposition on the polymeric film surface did not significantly affect Young’s modulus. Regarding the photocatalytic activity, the films obtained by extrusion exhibited poor performance; however, the photocatalyst deposition on films increased the NOx photodegradation. TiO2-Ag nanoparticles exhibited enhanced photocatalytic activity; thus, the polymeric film with TiO2-Ag nanoparticles embedded in the surface presented the highest activity (~ 23.67% of NOx photodegradation). Based on this background, this work provides valuable insights into the potential of these novel materials to be used as building panels capable of removing air pollutants through photocatalytic processes.
Nonlinear static/Transient behaviors of CNT reinforced Magneto-Electro- Mechanical smart shells considering agglomeration via dual directors shell model
Authors: Mallek H. , Mellouli H. , Louhichi R. , Dammak F. 
Published: April 2024

Abstract
The application of piezomagnetic layers on the external surfaces of passive sandwich shells has the potential to create multifunctional smart sandwich structures. This work introduces new smart magneto–electro–elastic (MEE) shells and studies its geometrically nonlinear bending and transient behavior as a first endeavor. A High-order Shear Deformation Theory (HSDT) is adopted to develop the Finite Element model of the smart MEE shells considering the multiphysics couplings, meanwhile the Lagrangian nonlinear strain-displacement relations are employed to account the geometric nonlinearity. The developed FE is modeled with nodal degrees of freedom that include displacements, rotations, electric and magnetic potentials. Moreover, the physical characteristics of aggregated CNTRC are evaluated based on micromechanics model incorporating the two agglomeration parameters. Different agglomeration schemas are considered for CNTs in nanocomposite core layer. The precision and reliability of the current FE model are confirmed through a comparison of the existing results in the open literature. The study explores the influence of parameters such CNT volume fraction and their agglomeration phenomena and various geometrical parameters of the shell on the nonlinear bending and dynamic behavior of smart MEE sandwich structures. The findings provide valuable insights into the subject.
A Stochastic Recursive Gradient Algorithm with Inertial Extrapolation for Non-convex Problems and machine learning
Authors: Mo Zhongyu , Ouyang Chen , Pham Hongtruong , Yuan Gonglin 
Published: April 2024

Abstract
In recent years, extrapolation acceleration technology has been widely employed across various algorithms; however, its application in machine learning has yielded limited achievements. Therefore, building upon the foundation of inertial acceleration technology, we conducted a study and analysis of the small-batch variant of the Stochastic Average Recursive Adaptive Hyperparameter (SARAH) algorithm. By integrating extrapolation acceleration technology into the SARAH framework, we developed an inertial stochastic recursive gradient method tailored for addressing empirical risk minimization problems in scenarios involving non-convex loss functions and machine learning. In this paper, under specific moderate assumptions, we have demonstrated the convergence of the algorithm to the global optimum. Furthermore, we have derived its linear convergence rate with respect to the non-convex objective function. The numerical results obtained from evaluating two widely utilized machine learning problems clearly illustrate the superior performance and practical feasibility of the proposed algorithm.
Keywords: extrapolation; Algorithm; non-convex; global optimum; convergence; numerical results.
Applying Language Models for Suicide Prevention: Evaluating News Article Adherence to WHO Reporting Guidelines
Authors: Elyoseph Zohar , Levkovich Inbar , Rabin Eyal , Shemo Gal , Szpiler Tal , Shoval Dorit Hadar , Belz Yossi Levi 
Published: April 2024

Abstract
Background
Suicide is a significant societal issue that affects many individuals annually. Previous research has indicated that irresponsible media coverage of suicides can promote suicidal behaviors, such as glorifying the individual who committed suicide or providing excessive details about the method used. Consequently, the World Health Organization (WHO) has established guidelines for responsible journalistic reporting on suicide, outlining both recommended and discouraged practices. However, these guidelines are often not adhered to in real-world reporting, posing a risk to public safety.
Objective
The aim of the current study was to explore the use of generative artificial intelligence (GenAI) in assessing news articles on suicide, relative to the WHO's criteria.
Methods
The evaluation involved two independent human reviewers and two AI systems, Claude.AI and ChatGPT-4, which assessed 40 suicide-related articles from online platforms based on the WHO's 15 criteria.
Results
The findings indicated strong agreement between ChatGPT-4 and the two human reviewers (0.81–0.87). Strong agreement was also found between Claude.AI and the two human reviewers (0.73–0.78). A repeated measures analysis of variance showed no significant differences in the evaluations made by the human reviewers and ChatGPT-4, but Claude.AI showed lower estimations.
Conclusions
These results suggest that GenAI has the potential to play a crucial role in promoting safe reporting practices, with implications for public health. The consistency of these findings across different languages could further enhance their significance. Potentially, this technology could be leveraged to provide immediate, automated feedback to journalists and editors, encouraging them to align their reporting with best practices. By demonstrating the capability of GenAI to contribute to mental health advocacy, not only at an individual level but also on a societal scale, this study underscores the transformative role that GenAI can play in shaping public narratives around sensitive issues like suicide.
RETRACTED: IBEDO-DE: A Novel ChatGPT-Enhanced Model for ImprovingEducational Outcomes through Data-Driven Insights and Student Perceptions
Authors: Sorour Shaymaa , Ahmed Hosnia.M.M. , Amin A.E.Amin , Abdelkader Hanan 
Published: April 2024

Abstract
The authors have requested that this preprint be removed from Research Square.
A circular bioeconomy approach for post-bioadsorbent materials from the removal of domestic wastewater contaminants as potential reinforcements
Authors: Almeida-Naranjo Cristina E. , Aguilar Alex Darío , Valle Vladimir , Bastidas‐Caldes Carlos , Debut Alexis , Sinchiguano Britanny 
Published: April 2024

Abstract
The study evaluated the performance of raw oil palm empty fruit bunch fibers (R-OPEFBF) within three different size ranges (250–425, 425–600, 600–800 µm) both before and after their utilization in biofiltration processes (as post-adsorbents, P-OPEFBF) to reinforce a polymer matrix of acrylic resin. The research examined the changes in R-OPEFBF composition and morphology caused by microorganisms in biofilters and their impact on the mechanical properties of the composites. Smaller R-OPEFBF particles (250–425 µm) demonstrated superior mechanical performance. Additionally, composites with P-OPEFBF displayed significant enhancements in mechanical properties (3.9–40.3%) compared to those with R-OPEFBF. The combination of the three fiber sizes improved the mechanical behavior of the composites, indicating the potential for both R-OPEFBF and P-OPEFBF as reinforcement materials in composite applications.
Drug Delivery System for Aflibercept delivery in Metastatic ColoRectal Cancer (MCRC)
Authors: Mousavi Seyedeh Maryam , Jalilvand Hassan , Mosaed Reza , Tabesh Hadi 
Published: April 2024

Abstract
Background: Metastatic colorectal cancer (mCRC) is a major health burden worldwide and a growing challenge in Asian countries. Treatment options include chemotherapy and a vascular endothelial growth factor (VEGF) inhibitor (such as bevacizumab, aflibercept or ramucirumab) or anti-epidermal growth factor receptor (EGFR) therapy. Aflibertcept, a recombinant fusion protein, is approved for the treatment of mCRC in combination with FOLFIRI in patients with disease progression during or after an oxaliplatin-containing regimen, based on its efficacy and tolerability profile in clinical trials. Hence, the amount and dosage and side effects of chemotherapy – even though are highly reduced - still are a counted as a great challenge. The purpose of this report is to provide an insight of the future production of a drug delivery system which can be sustainable, targeted and has less side effects. In order of achieving these goals, a DDS system was designed using electrospining method and nanoparticles filled with Aflibercept.
Mastering Complex Integrals in Multidimensional Spaces:Generalized Theorems and Broad Applications
Authors: Abu-Ghuwaleh Mohammad 
Published: April 2024

Abstract
This study presents a pioneering approach in the realm of complex analysis, focusing on the transformation of integrals that involve analytic functions in multi-dimensional complex variable spaces. At the core of our investigation are integrals characterized by functions evaluated across a spectrum of complex arguments, especially around points in n-dimensional real spaces. This research progresses mathematical understanding by advancing intricate derivations and building upon foundational work in the field. A significant aspect of our findings lies in the deep exploration of structures and interrelationships within complex integrals. Additionally, we highlight the substantial impact of this novel methodology on solving complex problems, particularly in the realm of Partial Differential Equations (PDEs). This innovative approach has far-reaching implications, promising to revolutionize problem-solving techniques in mathematical and physical sciences, and paving the way for advanced solutions in complex PDEs and other related areas.
Modeling a Water-based Concentrated Photovoltaic-Thermal (CPVT) hybrid collector: Analysis of the Influence of Mass Flow rate on Temperature and Photovoltaic Performance
Authors: SAVADOGO Mahamadi , TCHEDRE Kpéli Esso-Ehanam , SOURABIE Idrissa , ZONGO Abdul-Aziz , SAWADOGO Abdoulaye , ZERBO Issa , ZOUNGRANA Martial 
Published: April 2024

Abstract
The main objective of this paper is the modeling of a water-based concentration photovoltaic-thermal collector. This study also aims to investigate on the influence of the cooling water mass flow rate on the temperature and performances of a PV cell in such hybrid system.
On the basis of the thermal model, the thermal equation was determined at the steady-state. The numerical resolution of this equation allowed to plot the PV cell temperature profile according to light concentration and for different mass flow rates. It appears that the temperature rises with light concentration and falls down with increase in water mass flow rate towards the inlet temperature of this one. On the basis of the electrical model, diffusion parameters and electrical performance were extracted and plotted according to light concentration and mass flow rate.
The results show the decrease of the diffusion parameters with increase of light concentration and their improvement with increase of the mass flow rate. The current density and the short-circuit current density remain practically invariables under mass flow rate effect. But it appears a strong augmentation in voltage, open-circuit voltage, electrical power, electrical efficiency and fill factor when the mass flow rate increases. However, above 0.001 kg.s−1, it appears a drop in the cooling effect of water. This phenomenon is characterized by the slowing down of the favorable effect of an increasing water flow rate.
Exploring the Impacts of Digitizing Financial Products and Services in Microfinance on Entrepreneurial Innovations in Sub-Saharan Africa
Authors: ARSENE MBA FOKWA 
Published: April 2024

Abstract
This article seeks to explore the impacts of digitizing financial products and services in microfinance on entrepreneurial innovations. Utilising a recursive bivariate probit regression on panel data from 180 microfinance institutions in Sub-Saharan Africa spanning from 2019 to 2022, the primary findings are as follows: (i) a positive and significant influence of the digitization of microfinance products and services on the establishment and funding of startups; (ii) digitization stimulates the funding of the expansion of already established enterprises; (iii) these advantageous effects of digitization on entrepreneurial activities are more pronounced in urban areas than in rural areas; (iv) these digitization effects are more pronounced among men in comparison to women. Moreover, the digitization of microfinance products and services enhances startup funding by 27.35% more than the funding of the expansion of existing enterprises, by 25.36%. It is essential to augment financial innovations tailored to the needs of the clientele to nurture heightened entrepreneurial creativity.
JEL codes : D 23, G19, M13, R51
Investigation of Curvature Functions of Special Ruled Surfaces in Euclidean 3-Space
Authors: Saad M. Khalifa , Abdel-Aziz H. S. , Sorour Adel H. 
Published: April 2024

Abstract
This paper aims to study special types of ruled surfaces in three-dimensional Euclidean space E3. These surfaces are constructed by focal and slant curves, and generated by Frenet vectors of these curves. Also, some geometric properties and important results for these surfaces such as related to the curvatures of these surfaces are obtained. Finally, some computational examples that illustrate the validity of the theoretical results of this study are given and plotted.
MSC (2020). 53A04, 53A05, 53A10, 53C40.
Model optimization based on Hybrid Pneumatic Artificial Muscle Group and Its Genetic algorithm PID Control
Authors: Li Qingwei , Ma Shifei , Wu Zufen 
Published: April 2024

Abstract
Pneumatic Artificial Muscle (PAM) can be classified as mono-articular tendon and biarticular tendon in humanoid robot limb. Biarticular PAM acts on two or more joins simultaneous, while monoarticular PAM only acts on single joint. Biarticular PAM and monoarticular PAM mixed with each other and can be worked as Hybrid Pneumatic Artificial Muscle Group(HPAMG), in which two monoarticular PAM are series connected first, and then parallel connected with biarticular PAM. It's important to know how biarticular PAM and monoarticular PAM are orderly coordinated with each other in trajectory tracking with load. Optimization algorithms including ant colony algorithm optimization (ACO)and ant colony genetic algorithm optimization (ACGAO) were proposed, integrating with Proportional-Integral-Derivative (PID) control algorithm to track both monoarticular PAM and monoarticular PAM trajectories. Genetic algorithm PID (GAPID) was specifically adapted and subjected to experimental, to validate its superiority compared with PID. Experiment results indicate that ACO+PID and ACGAO+PID exhibited significant efficacy compared with the exclusive utilization of PID control algorithm. Furthermore, the ant colony genetic algorithm surpassed the performance of the ant colony algorithm. Notably, genetic PID trajectory tracking demonstrated distinct advantages over conventional PID control. The synergistic application of ACGAO and GAPID demonstrated a robust capability in achieving precise trajectory tracking.
Optimization of lubrication characteristics of wind turbine’s transmission system based on Newton Raphson method
Authors: Cao Li , Sun Wenlei , Gou Tao 
Published: April 2024

To improve the reliability and lifespan of wind turbines, this paper takes the two-stage fixed shaft gearbox experimental platform of wind turbines as the research object. Based on Hertz contact theory, the oil film pressure and thickness in the contact area are solved by combining the equations of elastohydrodynamic lubrication and the Newton Raphson method; And the lubrication characteristics of the transmission system were analyzed to verify the correctness of the method; At the same time, in response to partial load phenomenon caused by system coupling deformation, genetic algorithm was selected to modify the gear teeth. The results show that the max unit load on the tooth face and the maximum stress of tooth root decreased by up to 26.48 % and up to 20.35 % respectively after modification which can improve the uneven distribution of oil film and the lubrication performance of the tooth surface.
Spatiotemporal assessment of pathogenic Leptospira in subtropical coastal watersheds
Authors: Bridgemohan Ronell , Deitch Matthew J. , Harmon Emily , Whiles Matt R. , Wilson P. Christopher , Bean Eban , Bridgemohan Puran , Bisesi Joseph H. , Nicholas Jodel , Redhead Aaden , Bachoon Dave S. 
Published: April 2024

ABSTRACT
The World Health Organization classifies leptospirosis as a significant public health concern, predominantly affecting impoverished and unsanitary regions. By using the Pensacola Bay System as a case study, this study examines the underappreciated susceptibility of developed subtropical coastal ecosystems such as the Pensacola Bay System to neglected zoonotic pathogens such as Leptospira. We analyzed 132 water samples collected over 12 months from 44 distinct locations with high levels of Escherichia coli (&gt;410 most probable number/100 mL). Fecal indicator bacteria (FIB) concentrations were assessed using IDEXX Colilert-18 and Enterolert-18, and an analysis of water physiochemical characteristics and rainfall intensity was conducted. The LipL32 gene was used as a quantitative polymerase chain reaction (qPCR) indicator to identify the distribution of Leptospira interrogans. The results revealed 12 instances of the presence of L. interrogans at sites with high FIB over various land cover and aquatic ecosystem types. Independent of specific rainfall events, a seasonal relationship between precipitation and elevated rates of fecal bacteria and leptospirosis was found. These findings highlight qPCR's utility in identifying pathogens in aquatic environments and the widespread conditions where it can be found in natural and developed areas.
Prevalence of antimicrobial resistance, biofilm formation, efflux pump activity, and virulence capabilities in multi-drug-resistant Klebsiella pneumoniae isolated from freshwater fish farms
Authors: Suresh Kummari , Pillai Devika 
Published: April 2024

Abstract
The present study aimed to determine the antibiotic resistance, underlying mechanisms, antibiotic residues, and virulence genes involved in 32 multi-drug-resistant Klebsiella pneumoniae isolates from freshwater fishes in Andhra Pradesh, India. Antibiogram studies revealed that all isolates were multi-drug-resistant, harbored tetA (96.8%), tetC (59.3%), tetD (71.9%), nfsA (59.3%), nfsB (53.1%), sul2 (68.7%), qnrC (43.7%), qnrD (50%), blaSHV (75%), blaTEM (68.7%), and blaCTX-M (93.7%) genes. Multiple antibiotic resistance index was calculated as 0.54. Sixteen isolates were confirmed to be hyper-virulent and harbored magA and rmpA genes. In total, 46.9, 31.2, and 21.9% of the isolates were categorized as strong, moderate, or weak biofilm formers, respectively. All isolates possessed an active efflux pump and harbored acrA, acrB, acrAB, and tolC genes in 94% of the isolates, followed by mdtK (56.2%). Porins such as ompK35 and ompK36 were detected in 59.3 and 62.5% of the isolates, respectively. Virulence genes fimH-1, mrkD, and entB were present in 84.3, 81.2, 87.5% of the isolates, respectively. These findings imply a potential threat that multi-drug-resistant bacterial pathogens could transmit to surrounding environments and humans through contaminated water and the aquaculture food chain.
Benefits of Bambara Groundnut (Vigna subterranea) as a Source of Protein on Reproductive Function Related to Ghrelin-leptin in Female Mice Fed a Low Protein Diet
Authors: Gunanegara Rimonta Febby , Dewanto Agung , Sunarti  
Published: April 2024

Background:
Low protein intake during pregnancy increases maternal mortality and
blood levels of leptin and ghrelin, the hormones that regulate energy balance, affecting energy intake
and body weight. The benefits of protein depend on the amount and type of amino acids that
make up the protein. The need for L-lysine amino acids in pregnant women is reported to increase,
especially at the end of pregnancy. Bambara beans contain high levels of the amino acid
L-lysine, so they can be used as a source of protein that contains high levels of L-lysine.

Objective:
This study evaluated the Bambara groundnuts (Vigna subterranea) supplementation effects
on reproductive function related to ghrelin-leptin in female mice fed a low protein diet.

Methods:
Quasi-experimental study with a control group employing 50 female mice divided into
five groups: normal protein diet (N), low protein diet (LP), low protein diet with 100 g (LP+100);
200 g (LP+200), and 300 g (LP+300) Bambara groundnut supplementation. After 2 months of intervention,
half of the mice in each group (n=25) were terminated, and blood samples were collected
to determine albumin, ghrelin, and leptin levels. The other half mice were mated to assess gestational
age.

Results:
Supplementation with Bambara groundnuts at 200 and 300 g/kg of feed increases protein
intake and ghrelin and leptin levels. The leptin/ ghrelin ratio in the group of mice supplemented
with Bambara groundnut at a dose of 300 g/kg feed shows a similar ratio to the normal group. Although
there were no significant changes in albumin levels in all groups, protein intake, ghrelin
and leptin levels were positively correlated with gestational age.

Conclusion:
Bambara groundnuts can reduce the negative effect of a low protein diet in female
mice. It is an excellent protein source that increases the leptin/ghrelin ratio to improve gestational
age.