bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship between psychosocial job stressors and insomnia: The mediating role of psychological capital
Authors: Du Juan , He Shi‐Zhe , Li Min‐Jie , Wu Chao , Zheng Wen‐Kai , Zhang Lin‐Yuan , Heng Chun‐Ni , Ni Chun‐Ping , Lang Hong‐Juan 
Published: March 2023

AbstractAimThis study aimed to examine the association of job‐related stressors and insomnia; to determine the association of psychological capital and insomnia; and to explore whether psychological capital mediates the association between job‐related stressors and insomnia among Chinese nurses.DesignA cross‐sectional questionnaire survey.MethodsThe STROBE statement was utilized to guide the study. A total of 810 nurses from one tertiary grade hospital in Shan Dong Province, China, were recruited for the present study and a total of 658 valid questionnaires were obtained (effective recovery rate: 81.2%). The study survey consisted of demographic variables, psychological capital, job stress and insomnia. Descriptive analysis, independent‐samples T‐test, one‐way analysis of variance, stratified regression analysis, Pearson correlation analyses, ordinary least‐squares regression and the bootstrap method were used to analyse data.ResultsFindings of the study determined that demographic, work‐related, behavioural and work setting (i.e. working hours, chronic disease, negative life events, smoking behaviour and night shift) factors were differentially associated with experiences of insomnia. The empirical study showed that psychological capital had statistically significant mediating effects between job stressors and insomnia.Public ContributionThis study explored the factors associated with nurses' psychological job stressors and insomnia. Some of the associated factors could be used for the prevention and mitigation of psychosocial dysfunction among nurses. This study found nurses in surgery, emergency department, ICU, working >40 h a week, with chronic illness, experiencing negative life events, shift work and high effort, high overcommitment and low reward had higher scores of insomnia respectively. The results of this study also showed that reward was correlated with the increase of psychological capital, and the increase of psychological capital was correlated with the decrease of insomnia in nurses. On the contrary, effort and overcommitment decreased psychological capital, and then increased insomnia among nurses. These findings have important implications for future research and policy interventions to improve sleep quality of nurses and enhance nurses' health and patients' safety. This study significantly suggests that improving nurses' psychological capital is a potential way to help nurses improve sleep quality when psychosocial job stressors are difficult external environment to change.
Engineering Saccharomyces cerevisiae for the de novo Production of Halogenated Tryptophan and Tryptamine Derivatives
Authors: Milne Nicholas , Sáez‐Sáez Javier , Nielsen Annette Munch , Dyekjær Jane Dannow , Rago Daniela , Kristensen Mette , Wulff Tune , Borodina Irina 
Published: March 2023

AbstractThe indole scaffold is a recurring structure in multiple bioactive heterocycles and natural products. Substituted indoles like the amino acid tryptophan serve as a precursor for a wide range of natural products with pharmaceutical or agrochemical applications. Inspired by the versatility of these compounds, medicinal chemists have for decades exploited indole as a core structure in the drug discovery process. With the aim of tuning the properties of lead drug candidates, regioselective halogenation of the indole scaffold is a common strategy. However, chemical halogenation is generally expensive, has a poor atom economy, lacks regioselectivity, and generates hazardous waste streams. As an alternative, in this work we engineer the industrial workhorse Saccharomyces cerevisiae for the de novo production of halogenated tryptophan and tryptamine derivatives. Functional expression of bacterial tryptophan halogenases together with a partner flavin reductase and a tryptophan decarboxylase resulted in the production of halogenated tryptophan and tryptamine with chlorine or bromine. Furthermore, by combining tryptophan halogenases, production of di‐halogenated molecules was also achieved. Overall, this works paves the road for the production of new‐to‐nature halogenated natural products in yeast.
The tough and multi‐functional stretchable device based on silicone rubber composites
Authors: Kumar Vineet , Alam Md Najib , Azam Siraj , Manikkavel Amutheesan , Park Sang‐Shin 
Published: March 2023

AbstractRecently, the advances in stretchable electronic devices have attracted great attention around the world. New technologies are constantly updated to obtain a stretchable device with high performance and robust durability. The stretchable device‐based rubber composites were prepared with the addition of room‐temperature‐vulcanized silicone rubber (RTV‐SR) and different types of nanofillers such as graphite nanoplatelets (GNP), molybdenum disulfide (MoS2), and their hybrid. The hybrid composites contain both nanofillers in 50:50 ratios. The mechanical performance of the stretchable device was studied and presented. For example, the compressive modulus was 1.86 MPa (virgin), and at 20 per hundred parts of rubber (phr) was 3.9 MPa (GNP), 2.3 MPa (MoS2), and 2.72 MPa (Hybrid). The mechanical stretching ability of the composites was 120% (virgin), and at 20 phr was 170% (GNP), 182% (MoS2), and 171% for (Hybrid). At end of the work, a novel stretchable device based on a piezo‐electric effect is presented which provides an output voltage of ~1.2 V and high durability of >0.1 million cycles without significant degradation. This device is based on a rubber composite with the inclusion of electro‐active and dielectric materials as described in the subsequent section of the paper.
Nonisothermal crystallization of poly(L‐lactic acid) promoted by polyols
Authors: Yang Biao , Wang Huifang , Wan Xinyu , Fan Baomin , Sun Hui 
Published: March 2023

AbstractThe inherent weak crystallization capacity has an impact on the processability and serviceability of poly(lactic acid) (PLA) and limits its application. D‐mannitol (DM) and xylitol (Xy), acting as a nucleation accelerant, were melt‐blended with poly(L‐lactic acid) (PLLA) and the nonisothermal crystallization behavior was investigated. At 1% dosage, the crystallization temperatures of polyol‐modified PLLAs are 10–15°C higher than those of neat PLLA in the cooling rate range of 5–20°C. The theoretical half‐time of crystallization (t1/2) of the Jeziorny model remains constant over the cooling rate range of 10–20°C min−1, in contrast to the greatly reduced t1/2 reported for heterogeneous nucleating agents. Xy is more effective than DM in promoting crystallization. It increases the crystallinity of PLLA to ~40% within the 1%–5% dosage; and the activation energy of nonisothermal crystallization calculated by the Friendman method follows the order of magnitude: neat PLLA ˃ PLLA/DM ˃ PLLA/Xy. Polyols promote the crystallization of PLLA by a mechanism different from heterogeneous nucleation, providing an efficient and biosafety approach to improve the performance of PLA.
Simulations of morphology control of self‐assembled amphiphilic surfactants
Authors: Zhu Qinyu , Tree Douglas R. 
Published: March 2023

AbstractOne of the grand challenges of amphiphilic self‐assembly is the design of ordered structures whose morphology or shape can be explicitly and dynamically controlled by adjusting the properties of the amphiphiles or their surroundings. Such a capacity would enable researchers to create synthetic systems with functionality that meets or exceeds biological cells, and provide a robust platform for a broad range of engineering applications such as artificial tissues, drug delivery, and separation membranes. Despite significant progress, important fundamental questions remain unanswered, due in part to the limited resolution and the restricted parameter spaces that are readily accessible in experiments. Computational studies thus provide an important complement to experiments, enabling in‐depth insight into underlying mechanisms and an exploration of the parameter spaces for behavior that has not yet been achieved in experiments. In this review, we briefly introduce fundamental concepts and pertinent experiments related to dynamic shape modulation in self‐assembled amphiphiles. Then, in the bulk of the review, we survey the most influential simulation studies that investigate and identify approaches to control the self‐assembled shape of amphiphiles, with an emphasis on kinetic and mechanical effects. Finally, we conclude with a perspective on future research directions in this exciting field.
Residues of pesticide co‐formulants in lettuce and parsley: Identification of decline processes using field trials in different cropping systems
Authors: Balmer Marianne E. , Janser Daniel , Schaller Ulrich , Krauss Jürgen , Geiser H. Christoph , Poiger Thomas 
Published: March 2023

AbstractBACKGROUNDAlthough co‐formulants constitute a substantial portion of the total plant protection product (PPP) mass applied to crops, data on residue formation and the behaviour of these substances on plants are scarce. In an earlier study we demonstrated that co‐formulants commonly used in PPPs can form considerable residues, i.e., in the low to medium mg/kg range, but normally decline rapidly within few days. In the field trial reported here, we aimed to identify the major decline processes of co‐formulants. Residues of co‐formulants were therefore monitored in parsley and lettuce grown in an open field as well as under foil tunnels equipped with either an overhead or a drip irrigation system.RESULTSDissipation of three anionic surfactants was markedly faster when crops (parsley and lettuce) were exposed to natural rainfall or irrigation from above compared to drip irrigation. In contrast, the decline of three volatile organic solvents was not affected by rain or irrigation, but was dependent on the crop, with much shorter half‐lives in lettuce than in parsley. Furthermore, dilution through plant growth contributed significantly to the reduction of residues over time.CONCLUSIONIn this work we substantiate earlier findings on the magnitude and dissipation of residues of anionic surfactants and solvents representing the most important co‐formulant classes. The chosen experimental setup allowed differentiation between decline processes and we confirm that foliar wash‐off is a major dissipation process for anionic surfactants. For volatile organic solvents, dissipation appears to depend on the properties not only of the substance but also of the plant (surface). © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Dendrimer Based Binders Enable Stable Operation of Silicon Microparticle Anodes in Lithium‐Ion Batteries
Authors: Dong Yanling , Zhang Biao , Zhao Fugui , Gao Feng , Liu Dong 
Published: March 2023

AbstractHigh‐capacity anode materials (e.g., Si) are highly needed for high energy density battery systems, but they usually suffer from low initial coulombic efficiency (CE), short cycle life, and low‐rate capability caused by large volume changes during the charge and discharge process. Here, a novel dendrimer‐based binder for boosting the electrochemical performance of Si anodes is developed. The polyamidoamine (PMM) dendrimer not only can be used as binder, but also can be utilized as a crosslinker to construct 3D polyacrylic acid (PAA)‐PMM composite binder for high‐performance Si microparticles anodes. Benefiting from maximum interface interaction, strong average peeling force, and high elastic recovery rate of PAA‐PMM composite, the Si electrode based on PAA‐PMM achieves a high specific capacity of 3590 mAh g−1 with an initial CE of 91.12%, long‐term cycle stability with 69.80% retention over 200 cycles, and outstanding rate capability (1534.8 mAh g−1 at 3000 mA g−1). This work opens a new avenue to use dendrimer chemistry for the development of high‐performance binders for high‐capacity anode materials.
Substituent‐Induced Supramolecular Aggregates of Edge Functionalized Nanographenes
Authors: Moriguchi Haruka , Sekiya Ryo , Haino Takeharu 
Published: March 2023

AbstractPrecisely controlled molecular assemblies often display intriguing morphologies and/or functions arising from their structures. The application of the concept of the self‐assembly for controlling the aggregation of nanographenes (NGs) is challenging. The title NGs are those carrying both long alkyl chains and tris(phenylisoxazolyl)benzene (TPIB) on the edge. The former group secures the affinity of NGs for organic solvents, and the latter group drives the 1D arrangement of NGs through the interactions between the TPIB units. The concentration‐dependent and temperature variable 1H NMR, UV–vis, and PL spectra demonstrate the aggregation of NGs in 1,2‐dichloroethane, and the aggregation is controllable by the regulation of the solvent polarity. AFM images give the stacked structures of the NGs, and these aggregates turn out to be network polymeric structures at a high concentration. These observations demonstrate that the synergy of the face‐to‐face interactions between the surfaces and the interactions between the TPIB units are effective for controlling the self‐assembly of the NGs.
A research landscape on software defect prediction
Authors: Taskeen Anam , Khan Saif Ur Rehman , Felix Ebubeogu Amarachukwu 
Published: March 2023

AbstractSoftware defect prediction is the process of identifying defective files and modules that need rigorous testing. In the literature, several secondary studies including systematic reviews, mapping studies, and review studies have been reported. However, no research work such as a tertiary study that combines secondary studies has focused on providing a landscape of software defect prediction useful to understand the body of knowledge. Motivated by this, we intend to perform a tertiary study by following a systematic literature review protocol to provide a research landscape of the targeted domain. We synthesize the quality of the secondary studies and investigate the employed techniques and the performance evaluation measures for evaluating the software defect prediction model. Furthermore, this study aims at exploring different datasets employed in the reported experimentation. Moreover, the current study intends at highlighting the research trends, gaps, and opportunities in the targeted research domain. The results indicate that none of the reported defect prediction techniques can be regarded as the best; however, the reported techniques performed better in different testing situations. In addition, machine learning (ML)‐based techniques perform better than traditional statistical techniques mainly due to the potential of discovering the defects and generating generalized results. Moreover, the obtained results highlight the need for further work in the domain of ML‐based techniques. Furthermore, publicly available datasets should be considered for experimentation or replication purposes. The potential future work can focus on data quality, ethical ML, cross‐project defect prediction, early defect prediction process, class imbalance problem, and model overfitting.
Structure Analysis, Antioxidant Activity, Anti‐Aging, and Organ Protective Effects of Pholiota adiposa Residue Polysaccharides
Authors: Hou Minjie , Li Xiaoxu , Li Xueping , Zhang Jianjun , Jia Le 
Published: March 2023

AbstractThe structure analysis, antioxidant activity in vitro, and organ repair evaluation of Pholiota adiposa residue polysaccharides (PRP) on d‐galactose‐induced aging mice in this work are carried out. The structural results show that PRP contains β glycoside bonded pyranose and is mainly composed of mannose glucose and galactose. The in vitro antioxidant assay demonstrates that PRP has superior reducing power and scavenging activities on hydroxyl, superoxide anion and DPPH radicals. The in vivo animal experiments confirmed that PRP can effectively increase organ index, reduce the levels of IL‐6 and TNF‐α and the contents of ALT, AST, ALP, CREA, and UA in serum induced by d‐galactose. It can significantly increase the content of HYP in skin. Meanwhile, the activities of SOD, GSH‐PX, and CAT are improved and the accumulation of MDA is reduced by repairing the structure and function of the damaged liver, kidney, and brain. These results demonstrate that PRP have certain organ protection effects on d‐galactose‐induced aging mice, indicating that it has potential application values in functional anti‐aging food and natural medicine.
Toxic effects of bisphenol AF on the embryonic development of marine medaka (Oryzias melastigma)
Authors: Huang Zeyin , Gao Jiahao , Chen Yuebi , Huan Zhang , Liu Yue , Zhou Tianyang , Dong Zhongdian 
Published: March 2023

AbstractBisphenol AF (BPAF), an emerging environmental endocrine disruptor, has been detected in surface waters worldwide and has adverse effects on aquatic organisms. The accumulation of BPAF in oceans and its potential toxic effect on marine organisms are important concerns. In this study, the effects of BPAF (10, 100, 1, and 5 mg/L) on marine medaka (Oryzias melastigma) were evaluated, including effects on the survival rate, heart rate, hatchability, morphology, and gene expression in embryos. The survival rate of marine medaka embryos was significantly lower after treatment with 5 mg/L BPAF than in the solvent control group. Exposure to 1 mg/L and 5 mg/L BPAF significantly reduced hatchability. Low‐dose BPAF (10 μg/L) significantly accelerated the heart rate of embryos, while high‐dose BPAF (5 mg/L) significantly decreased the heart rate. BPAF exposure also resulted in notochord curvature, pericardial edema, yolk sac cysts, cardiovascular bleeding, and caudal curvature in marine medaka. At the molecular level, BPAF exposure affected the transcript levels of genes involved in the thyroid system (dio1, dio3a, trhr2, tg, and thra), cardiovascular system (gata4, atp2a1, and cacna1da), nervous system (elavl3 and gap43), and antioxidant and inflammatory systems (sod, pparβ, and il‐8) in embryos. These results indicate that BPAF exposure can alter the expression of functional genes, induce abnormal development, and reduce the hatching and survival rates in marine medaka embryos. Overall, BPAF can adversely affect the survival and development of marine medaka embryos, and BPAF may not be an ideal substitute for BPA.
Computation of swirling hydromagnetic nanofluid flow containing gyrotactic microorganisms from a spinning disk to a porous medium with hall current and anisotropic slip effects
Authors: Umavathi Jawali Channabasappa , Bég Osman Anwar , Khan Umar Farooq , Bég Tasveer A. , Kadir Ali 
Published: March 2023

AbstractPrompted by the advancements in hybrid bio‐nano‐swirling magnetic bioreactors, a mathematical model for the swirling flow from a rotating disk bioreactor to a magnetic fluid saturating a porous matrix and containing nanoparticles and gyrotactic micro‐organisms has been developed. An axial magnetic field is administered which is perpendicular to the disk and Hall currents are included. The disk is assumed to be impervious and stretches in the radial direction with a power‐law velocity. The Buongiorno nanoscale, Kuznetsov bioconvection and Darcy porous media models are deployed. Anisotropic momentum, thermal, nanoparticle concentration and motile micro‐organism slip effects are incorporated. Stefan blowing is also simulated. The governing conservation equations are transformed with appropriate variables to ordinary nonlinear differential equations. MATLAB bvp4c shooting quadrature is used to solve the emerging nonlinear, coupled ordinary differential boundary value problem under transformed boundary conditions. Verification with earlier solutions for the non‐magnetic Von Karman bioconvection nanofluid case is conducted. Further validation of the general magnetic model is conducted with the Adomian decomposition method (ADM). Extensive visualization of velocity, temperature, nanoparticle concentration and motile microorganism density number profiles is presented for the impact of various parameters including magnetic interaction parameter, Hall current parameter, Darcy number, momentum slip, thermal slip, nanoparticle slip and microorganism slip. Computations are also performed for skin friction, Nusselt number, Sherwood number and motile micro‐organism density number gradient. The simulations provide a useful benchmark for further studies.
Computerized Adaptive Testing Without IRT for Flexible Measurement and Prediction
Authors: van der Ark L. Andries , Smits Niels 
Published: March 2023

AbstractIn education, testing procedures can be lengthy. The long duration takes up precious time and affects the quality of responses, possibly resulting in a biased diagnosis or wrong treatment. The problem can be reduced using computer adaptive testing (CAT). However, three issues prevent the use of traditional CAT: (1) the type of tests and questionnaires we focus on do not allow for the construction of large item banks, (2) the test data are usually not (approximately) unidimensional, and (3) the aim of the researchers may not only be measurement but also prediction. We propose a flexible generalization of CAT to accommodate these three issues, coined FlexCAT. First, FlexCAT estimates the (discrete) density of item-score vectors (denoted p) using any convenient model that provides a good description of p; this need not be an IRT model. Second, FlexCAT estimates test scores from
$$ \hat{\mathbf{p}} $$

p
̂

. In contrast to traditional CAT, the test score need not be a latent trait but can also be the total score, ordinal scores such as percentiles, or external criteria that the test aims to predict. We introduce FlexCAT for the case that a latent class model is used to estimate p, and the total score is used as a test score. Using a real-data example, we compare the accuracy of FlexCAT and traditional CAT. Finally, we discuss the challenges FlexCAT still faces.
Psychological and Educational Testing and Decision-Making: The Lack of Knowledge Dissemination in Textbooks and Test Guidelines
Authors: Meijer Rob R. , Niessen A. Susan M. , Neumann Marvin 
Published: March 2023

AbstractWhen it comes to decision-making based on psychological and educational assessments, there is compelling evidence that statistical judgment is superior to holistic judgment. Yet, implementing this finding in practice has proven to be difficult for both academic and professional psychologists. Knowledge transfer from research findings to practitioners and other stakeholders in psychological assessment is a necessary condition to close this gap. To obtain insight into how academic specialists in psychological testing disseminate knowledge about research findings in this area, we investigated how textbooks on testing and guidelines on test use report on, or do not to report on, decision-making in psychological and educational assessment. Second, we discuss some commonly encountered misunderstandings, and third we argue for a broader and more in-depth dissemination of research findings on this topic in textbooks and test standards; to this end we provide some suggestions.