bluuebunny/crossref_metadata_2025_split huggingface dataset:
Movements and habitat use of native and invasive piscivorous fishes in a temperate and channelized lowland river
Authors: Nolan Emma T. , Hindes Andrew M. , Bolland Jonathan D. , Davies Peter , Gutmann Roberts Catherine , Tarkan Ali Serhan , Britton J. Robert 
Published: April 2024

AbstractLowland temperate rivers provide important habitats for piscivorous fishes, but with their year-round spatial and temporal habitat use is often poorly understood, including their use of off-channel habitats. Here, the movements and habitat use of the piscivorous native Northern pike Esox lucius and invasive pikeperch Sander lucioperca were investigated using acoustic telemetry in the highly regulated (through impoundment) lower River Severn, Western England over a 12-month period, where off-channel habitat availability was limited to a single boat marina. The movements of both species varied with season and temperature, with both species moving greater distances in spring. Increasing water temperatures up to 15 °C resulted in a higher frequency of movements of both species, but movements then decreased at temperatures higher than this. Northern pike detections in the river increased in periods of lower river discharge and warmer temperatures, with the off-channel refuge providing an important habitat all year round (78% of detections occurred there). While 63% of pikeperch detections also occurred in the marina, 89% of these detections occurred between December and April. These results thus emphasise the importance of this limited off-channel habitat as potential spawning locations for invasive pikeperch and foraging areas for native Northern pike.
Gradient projection method on the sphere, complementarity problems and copositivity
Authors: Ferreira Orizon Pereira , Gao Yingchao , Németh Sándor Zoltán , Rigó Petra Renáta 
Published: April 2024

AbstractBy using a constant step-size, the convergence analysis of the gradient projection method on the sphere is presented for a closed spherically convex set. This algorithm is applied to discuss copositivity of operators with respect to cones. This approach can also be used to analyse solvability of nonlinear cone-complementarity problems. To our best knowledge this is the first numerical method related to the copositivity of operators with respect to the positive semidefinite cone. Numerical results concerning the copositivity of operators are also provided.
When and why consumers prefer human-free behavior tracking products
Authors: Raveendhran Roshni , Fast Nathanael J. 
Published: April 2024

AbstractDespite disliking behavior tracking for marketing, consumers actively adopt technological behavior tracking products. Our research examines the psychological factors driving this adoption and the conditions under which it occurs. We theorize that consumers prefer technological (versus human-based) tracking, because human-free tracking reduces concerns about negative judgment. However, we propose that this preference is weakened, and even reversed, when immediate judgment concerns are less salient than the need for feedback from relevant humans such as when consumers pursue performance (versus personal) goals. Across four preregistered studies (n = 2,601), we found that consumers generally prefer technological (versus human) tracking due to lower negative judgment concerns (Studies 1 and 2A). Consumers’ gender, goal satisfaction, and self-efficacy influenced this effect (Study 2B). However, preference for technological tracking was reversed when consumers pursued performance goals (e.g., training for a public dance competition) versus personal goals (e.g., training to lose weight) (Study 3).
From port-based teleportation to Frobenius reciprocity theorem: partially reduced irreducible representations and their applications
Authors: Mozrzymas Marek , Horodecki Michał , Studziński Michał 
Published: April 2024

AbstractIn this paper, we present the connection of two concepts as induced representation and partially reduced irreducible representations (PRIR) appear in the context of port-based teleportation protocols. Namely, for a given finite group G with arbitrary subgroup H, we consider a particular case of matrix irreducible representations, whose restriction to the subgroup H, as a matrix representation of H, is completely reduced to diagonal block form with an irreducible representation of H in the blocks. The basic properties of such representations are given. Then as an application of this concept, we show that the spectrum of the port-based teleportation operator acting on n systems is connected in a very simple way with the spectrum of the corresponding Jucys–Murphy operator for the symmetric group $$S(n-1)\subset S(n)$$

S
(
n
-
1
)
⊂
S
(
n
)

. This shows on the technical level relation between teleporation and one of the basic objects from the point of view of the representation theory of the symmetric group. This shows a deep connection between the central object describing properties of deterministic PBT schemes and objects appearing naturally in the abstract representation theory of the symmetric group. In particular, we present a new expression for the eigenvalues of the Jucys–Murphy operators based on the irreducible characters of the symmetric group. As an additional but not trivial result, we give also purely matrix proof of the Frobenius reciprocity theorem for characters with explicit construction of the unitary matrix that realizes the reduction in the natural basis of induced representation to the reduced one.
Data-driven discovery of interpretable water retention models for deformable porous media
Authors: Suh Hyoung Suk , Song Jun Young , Kim Yejin , Yu Xiong , Choo Jinhyun 
Published: April 2024

AbstractThe water retention behavior—a critical factor of unsaturated flow in porous media—can be strongly affected by deformation in the solid matrix. However, it remains challenging to model the water retention behavior with explicit consideration of its dependence on deformation. Here, we propose a data-driven approach that can automatically discover an interpretable model describing the water retention behavior of a deformable porous material, which can be as accurate as non-interpretable models obtained by other data-driven approaches. Specifically, we present a divide-and-conquer approach for discovering a mathematical expression that best fits a neural network trained with the data collected from a series of image-based drainage simulations at the pore-scale. We validate the predictive capability of the symbolically regressed counterpart of the trained neural network against unseen pore-scale simulations. Further, through incorporating the discovered symbolic function into a continuum-scale simulation, we showcase the inherent portability of the proposed approach: The discovered water retention model can provide results comparable to those from a hierarchical multi-scale model, while bypassing the need for sub-scale simulations at individual material points.
A review on Bi2WO6-based photocatalysts synthesis, modification, and applications in environmental remediation, life medical, and clean energy
Authors: Mao Wei , Shen Xuewu , Zhang Lixun , Liu Yang , Liu Zehao , Guan Yuntao 
Published: April 2024

AbstractPhotocatalysis has emerged a promising strategy to remedy the current energy and environmental crisis due to its ability to directly convert clean solar energy into chemical energy. Bismuth tungstate (Bi2WO6) has been shown to be an excellent visible light response, a well-defined perovskite crystal structure, and an abundance of oxygen atoms (providing efficient channels for photogenerated carrier transfer) due to their suitable band gap, effective electron migration and separation, making them ideal photocatalysts. It has been extensively applied as photocatalyst in aspects including pollutant removal, carbon dioxide reduction, solar hydrogen production, ammonia synthesis by nitrogen photocatalytic reduction, and cancer therapy. In this review, the fabrication and application of Bi2WO6 in photocatalysis were comprehensively discussed. The photocatalytic properties of Bi2WO6-based materials were significantly enhanced by carbon modification, the construction of heterojunctions, and the atom doping to improve the photogenerated carrier migration rate, the number of surface active sites, and the photoexcitation ability of the composites. In addition, the potential development directions and the existing challenges to improve the photocatalytic performance of Bi2WO6-based materials were discussed.
Adaptation of the modified abbreviated math anxiety scale: its relationship with mathematics self-efficacy and academic buoyancy
Authors: Kul Ümit , Aksu Zeki , Satici Seydi Ahmet 
Published: April 2024

AbstractMathematics anxiety (MA) is a widely recognized phenomenon that refers to the negative thoughts, fears, and stress experienced by individuals when working with numbers. It has a severe impact on individuals ranging from elementary school students to college students across various countries. Despite several instruments available for measuring MA, the majority of them are in English. At this time, we first adapted the Modified Abbreviated Math Anxiety Scale (m-AMAS) to the Turkish culture to be used with early adolescent students. The m-AMAS was administered to 224 students (mean age:13.35 years, SD = 0.49, 128 girls) and was found to be a valid and reliable tool for measuring MA. The study also explored the link between MA and math self-efficacy (MSE), academic buoyancy (AB). The findings support the validity of the 9-item, two-dimensional structure of the m-AMAS used in this research, as it was found to be comparable to the original scale tested on British students. Intriguingly, the results of the mediation analysis demonstrated that MA significantly predicted MSE, which in turn significantly predicted AB. Notably, the model unveiled a significant indirect effect between MA and AB, with a partial mediating effect of MSE. However, for a comprehensive understanding of this sequence, future research endeavours, encompassing longitudinal and experimental studies, are imperative.
A psychometric evaluation of Professional Quality of Life Scale Version 5 (ProQOL 5) in a UK-based sample of allied mental health professionals
Authors: Singh Jasmeet , Karanika-Murray Maria , Baguley Thom , Hudson John 
Published: April 2024

AbstractThe Professional Quality of Life Scale Version 5 (ProQOL 5; Stamm, 2010) is often used to assess burnout, secondary traumatic stress, and compassion satisfaction in allied mental health professionals in the UK. However, vital empirical evidence assessing psychometric properties of this instrument for this occupational group or in this national context does not exist. Therefore, the aim of the present study was to conduct a confirmatory factor analysis to validate ProQOL 5 in a sample of 366 UK-based clinical psychologists, counsellors, and psychotherapists recruited via online purposive sampling. The findings indicated that in alignment with existing research, the original three-factor structure demonstrated poor fit to data. Thus, the structure was investigated further with a novel technique in network psychometrics called bootstrapped exploratory graph analysis (bootEGA). The results indicated that 21 items from the original 30-item ProQOL 5 demonstrated satisfactory levels of item stability, i.e., all items were replicated in more than 80% of bootstrapped samples. The present study is the first to evaluate the internal structure of ProQOL 5 in a sample of mental health professionals based in the UK.
Enhancing Antibacterial and Water-Repellent Properties for the Production of High-Performance Fabrics in Home Textiles
Authors: Omerogullari Basyigit Zeynep , Coskun Hatice 
Published: April 2024

AbstractIn this research, we aimed to enhance the antibacterial activity and water repellency functionalities of single-layer 100% cotton fabrics on both the face and back sides, utilizing conventional methods. Unlike conventional approaches that often rely on lamination or coating techniques to imbue fabric surfaces with distinct properties, our study pursued a cost-effective strategy using traditional textile finishing methods. By integrating double functionality into cotton fabric, we aimed to circumvent the need for additional equipment and high initial costs associated with other techniques. To achieve this, we improved the antibacterial activity of the fabrics through the incorporation of silver ions in the pad-dry process. Simultaneously, water repellency functionality was introduced through a printing application, where the printing paste, devoid of dyestuff, was combined with functional agents and applied using rotary printing to the fabric’s backside. Following these finishing applications, we conducted comprehensive tests encompassing washing durability, antibacterial efficacy, water repellency, mechanical strength, and fastness properties of the multifunctional fabrics. Characterization tests, including Fourier transform infrared attenuated total reflectance (FTIR-ATR) and scanning electron microscope analyses (SEM-EDX), were performed. The outcome of our study showcased the successful enhancement of double-functional cotton fabric, featuring water repellency and antibacterial efficiency on distinct sides. Furthermore, the results indicated that these functionalities endured up to 20 washing cycles, with fastness and performance tests consistently achieving peak levels.
Finite Element Analysis and Mechanical Assessment for the Constraint of Total Knee Replacement
Authors: Kang Kwan-Su , Jung Tae-Gon 
Published: April 2024

AbstractThe constraint level of TKR is essential for ensuring product performance to prevent knee joint dislocation. Computer modeling and simulation (CM&S) technology is widely used in the medical device industry due to its advantages such as reducing testing time and costs. However, there is a lack of research on the constraint level of TKR according to the size and flexion angle of the femoral component. In this study, the constraint levels of AP draw, ML shear, and rotary laxity were tested according to the size and flexion angle of TKR products using finite element analysis. A TKR model was constructed using a 3D scanner, and a finite element model with mechanical testing and error rates of 2.49% and 3.00% was developed through AP draw testing. In AP draw, as the size of TKR decreases, the constraint level increases by about 3.6%, and rotary laxity also increases by about 1.3%. In all tests, the constraint level increased as the bending angle of the femoral component increased. We found that the curvature and contact area of a TKR influenced the constraint level. Through this study, it is believed that CM&S technolaogy can be widely used in evaluating the unique performance of medical devices.
An integration of the numerical and soft computing approaches for determining inflow control device flow area in water injection wells
Authors: Mostakhdeminhosseini Farshad , Rafiei Yousef 
Published: April 2024

AbstractTo avoid or mitigate the unwanted water and gas content, inflow control devices (ICDs) are designed and installed in the well to disturb the water and gas breakthrough which are trying to overtake the oil inflow, water and gas coning and sand production. Smart wells with permanent downhole valves such as ICDs are used to balance production and injection in wells. A paramount issue regarding using downhole control devices is determining the required cross-sectional area of them for control of the imposed pressure drop across the device to stabilize the fluid flow. Current methods for calculating the opening size of the ICDs are mainly based on sensitivity analysis of the ICD flow area or optimization algorithms coupled with simulation models. Although these approaches are quite effective in oil field cases, they tend to be time-consuming and require demanding system models. This paper presents a fast analytical method to determine the ICD flow area validated by a genetic algorithm (GA). Analytically, a closed-form expression is introduced by manipulating Darcy’s law applicable to multi-layer injection wells with different layer properties to balance the injection profile in the reservoir pay zone, based on equalizing injected front velocity in layers with different permeability. Considering various scenarios of analytical technique, GA optimization, and sensitivity analysis scenarios for ICD cross-sectional area determination, results for oil recovery, water production, water breakthrough time, and net present value (NPV) are discussed and compared. NPV values obtained by both analytical and GA approaches are virtually identical and greater than those of other scenarios. Compared to the base field case, the analytical method improved the oil recovery by almost 1%, reduced water production by almost 91%, and synchronized the water breakthrough time of high- and low-permeability layers (from a ratio of 1.76–1.06). The proposed analytical solution proved to be capable of providing desirable results with only one reservoir simulation run in contrast to GA and sensitivity analysis scenarios which require iterative simulation runs. The proposed analytical solution outperformed the GA as it is less computationally demanding in addition to its success in case of lowering water production for the field data. The findings of this study can help for a better understanding of the situation where water injection into the oil reservoir is problematic as the layers present different permeabilities which can induce problems such as early water breakthrough from the more permeable layer and hinder the success of the water injection process. Using ICDs and a faster and more accurate approach to calculate its cross-sectional area such as the analytical method that was used in this study can greatly increase the success rate of water injection in case of oil recovery and lower the amount of the produced water.
A Novel Approach to Linear and Nonlinear Time-History Analysis of Structures: Gauss–Lobatto–Hermite 4-Point (GLH-4P) Method
Authors: Atasoy Arman , Ghalehjoogh Mehdi Babaei , Demirkapi Abdullah 
Published: April 2024

AbstractAn efficient time integration scheme has been devised for conducting time-history dynamic analysis of single-degree-of-freedom (SDOF) structural systems. The developed scheme belongs to Runge-Kuta family. The primary innovation of the new formulation lies in the constructive cooperation between the Hermite interpolation and the Gauss–Lobatto integration, linked to address the second-order ordinary differential equation of motion (DEOM). To put the idea into practice, several Hermite interpolators are generated to exploit the information of the internal points of Gauss-Lobatto integrator. The 4-point Gauss–Lobatto formula is employed to numerically integrate acceleration and velocity functions. This novel methodology has been designated the Gauss–Lobatto–Hermite 4-point (GLH-4P) method. GLH-4P furnishes a generally applicable implicit algorithm for conducting both linear and nonlinear analyses of structures subjected to seismic excitation. The advantage of the proposed algorithm over the conventional techniques is its higher accuracy level. Besides, it offers better stability compared with the conventional methods such as the Newmark-β and Wilson-θ methods. Unlike the other methods, GLH-4P can handle high-frequency systems without reducing the step size. Numerical examples reveal the efficacy of the GLH-4P method when juxtaposed against existing methodologies.
Spontaneous mutations and mutational responses to penicillin treatment in the bacterial pathogen Streptococcus pneumoniae D39
Authors: Jiang Wanyue , Lin Tongtong , Pan Jiao , Rivera Caitlyn E. , Tincher Clayton , Wang Yaohai , Zhang Yu , Gao Xiang , Wang Yan , Tsui Ho-Ching T. , Winkler Malcolm E. , Lynch Michael , Long Hongan 
Published: April 2024

AbstractBacteria with functional DNA repair systems are expected to have low mutation rates due to strong natural selection for genomic stability. However, our study of the wild-type Streptococcus pneumoniae D39, a pathogen responsible for many common diseases, revealed a high spontaneous mutation rate of 0.02 per genome per cell division in mutation-accumulation (MA) lines. This rate is orders of magnitude higher than that of other non-mutator bacteria and is characterized by a high mutation bias in the A/T direction. The high mutation rate may have resulted from a reduction in the overall efficiency of selection, conferred by the tiny effective population size in nature. In line with this, S. pneumoniae D39 also exhibited the lowest DNA mismatch-repair (MMR) efficiency among bacteria. Treatment with the antibiotic penicillin did not elevate the mutation rate, as penicillin did not induce DNA damage and S. pneumoniae lacks a stress response pathway. Our findings suggested that the MA results are applicable to within-host scenarios and provide insights into pathogen evolution.
Acquired substance-dependent compulsivity but not general compulsivity predicts increased substance use
Authors: Jones Mallory E. , Verhaeghen Paul 
Published: April 2024

Abstract
Background
Substance misuse among college students is a growing area of concern. Approximately 2 in 5 college students suffer from binge drinking disorder, the consequences of which include sexual misconduct, low grade point average (GPA), injury, and even death. Compulsivity is thought to play a key role in the initiation and maintenance of substance use disorder. We aim to clarify the role of compulsivity by evaluating several key components of this construct including rumination and “letting go.”

Methods
443 undergraduate students participated in an online survey which included measures for substance misuse as well as general measures for compulsivity and a new, adapted measure for substance-dependent compulsivity.

Results
Our findings support our hypothesis that substance-dependent compulsivity, as defined as the drive to consume drugs and/or alcohol specifically, can be used as a behavioral marker to predict substance misuse.

Conclusions
Substance-dependent compulsivity plays a significant role in an unhealthy relationship with substances, including alcohol, above and beyond predisposition for obsessive–compulsive spectrum behavior. Given the age of our study population, it seems then likely that compulsive use of mind-altering substances emerges early in the pathogenesis of substance use disorder.
Review of gypsum reinforced composites as building materials
Authors: Esan Martins Taiwo 
Published: April 2024

AbstractThe utilization of gypsum reinforced composites as building materials has garnered considerable attention owing to their exceptional amalgamation of mechanical strength, fire resistance, and versatile applications. This review initiates by introducing gypsum as a pivotal mineral in construction, subsequently exploring the concept of composite materials and elucidating the synergistic effects achieved through reinforcement. Various reinforcement types, such as fibers, polymers, and particles, are meticulously evaluated for their contributions in augmenting mechanical properties, acoustic and thermal insulation, as well as fire resistance in gypsum composites. The review extensively discusses the mechanical attributes of gypsum composites, focusing on compressive strength and flexural behavior enhancements attained through strategic reinforcement methods. Looking ahead, the review emphasizes ongoing research endeavors dedicated to refining material formulations, exploring cutting-edge technologies, and uncovering innovative applications. By addressing challenges and capitalizing on advantages, these composites stand poised to revolutionize conventional building practices, bolster sustainability, and enhance safety and efficiency in built environments.