bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationships between weight bias internalization and biopsychosocial health outcomes: A prospective study in Chinese adolescents
Authors: Barnhart Wesley R. , Cui Shuqi , Cui Tianxiang , He Jinbo 
Published: January 2023

AbstractObjectiveAn extensive literature has documented the deleterious effects of weight bias internalization (WBI) on biopsychosocial health outcomes. Still, this research is largely confined to the Western context. Furthermore, few studies have explored associations between WBI and biopsychosocial health outcomes, including in non‐Western adolescent populations.MethodThe present study explored the longitudinal relationships between WBI and body dissatisfaction, disordered eating, psychosocial impairment related to eating disorder features, and psychological and physical well‐being in a sample (N = 1549; aged 11–18 years at baseline) of Chinese adolescents. Relationships between study variables were examined between two waves of data measurement (Time 1, baseline, and Time 2, 6‐month). Cross‐lagged and multivariate models were used to explore prospective relationships between WBI and biopsychosocial correlates.ResultsBidirectional relationships were observed between WBI and biopsychosocial correlates in Chinese adolescents. Adjusting for covariates and other predictor variables, higher body dissatisfaction, disordered eating, psychosocial impairment, and psychological distress at Time 1 predicted higher WBI at Time 2. Furthermore, higher WBI at Time 1 predicted higher body dissatisfaction, disordered eating, psychosocial impairment, and psychological distress at Time 2.DiscussionWeight bias internalization and psychosocial correlates were interrelated across time in Chinese adolescents. Improving WBI might be promising in the prevention of eating and body image disturbances and diminished psychosocial well‐being. Similarly, reducing eating and body image disturbances and improving psychosocial well‐being might be useful prevention targets in reducing WBI in Chinese adolescents.Public SignificanceThe present study represents an initial effort to explore bidirectional relationships between WBI and biopsychosocial health outcomes in Chinese adolescents. Findings suggest bidirectional relationships between WBI and psychosocial variables, highlighting the potential utility of incorporating WBI interventions into eating pathology and poor psychosocial well‐being prevention designs for Chinese adolescents.
Bioaccumulation and Biotransformation of BDE-47 Using Zebrafish Eleutheroembryos (Danio rerio)
Authors: De Oro-Carretero Paloma , Sanz-Landaluze Jon 
Published: January 2023

Abstract
Polybrominated diphenyl ethers (PBDEs) are well-known endocrine disrupting chemicals identified as organic persistent pollutants. Their metabolites OH-BDE and MeO-BDE have been reported to be potentially more toxic than the postulated precursor PBDEs. One of the most predominant congeners of PBDEs in the environment is BDE-47, due to its high presence in industrially used mixtures. In the present study, the bioaccumulation and biotransformation of BDE-47 into its major metabolites is evaluated using zebrafish (Danio rerio) eleutheroembryos adapting a previously developed alternative method to bioconcentration official guideline Organisation for Economic Co-ordination and Development 305, which reduces the animal suffering, time, and cost. For the simultaneous determination of BDE-47 and its metabolites in larvae and exposure medium, and considering the polarity difference of the analytes and the small sample size, the development of a validated analytical method is a step to ensure quality results. In the present study, an ultrasound-assisted extraction followed by a solid phase extraction dispersive clean-up step and gas chromatography-mass spectrometry-microelectron capture detector (GC-MS-μECD) with a previous derivatization process was optimized and validated. Bioconcentration factors (BCFs) were calculated using a first-order one-compartment toxicokinetic model. The profiles found show rapid absorption in the first hours of larval development and great bioaccumulative capacity, finding BCFs of 7294 ± 899 and 36 363 ± 5702 at nominal concentrations of 10 and 1 μg L−1, respectively. Metabolization studies show increasing concentrations of the metabolites BDE-28, 2ʹ-OH-BDE-28, and 5-MeO-BDE-47 throughout the exposure time. The results obtained show the feasibility of the method for bioaccumulation and open up the possibility of metabolic studies with zebrafish eleutheroembryos, which is a very underdeveloped field without official testing or regulation. Environ Toxicol Chem 2023;42:835–845. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Detection of Diclofenac-Induced Alterations in Rainbow Trout (Oncorhynchus mykiss) Using Quantitative Stereological Methods
Authors: Birzle Christoph , Schrader Hannah , Blutke Andreas , Ferling Hermann , Scholz-Göppel Karin , Wanke Rüdiger , Schwaiger Julia 
Published: January 2023

Abstract
In 2013, the nonsteroidal anti-inflammatory drug diclofenac (DCF) was included in the watch list for emerging pollutants under the European Union Water Framework Directive. Frequently, monitoring data revealed DCF concentrations in surface waters exceeding the proposed environmental quality standards of 0.04 µg L−1 and 0.126 µg L−1. In recent literature, the possible effects of DCF on fish are discussed controversially. To contribute to a realistic risk assessment of DCF, a 28-day exposure experiment was carried on rainbow trout (Oncorhynchus mykiss). To warrant reliability of data, experiments were conducted considering the Criteria for Reporting and Evaluating Ecotoxicity Data. The test concentrations of DCF used (0.1, 0.5, 1, 5, 25, and 100 µg L−1) also included environmentally relevant concentrations. The lowest-observed-effect concentration (LOEC) for a significant decrease in the plasma concentrations of the DCF biomarker prostaglandin E2 was 0.5 µg L−1 (male fish). For objective evaluation of relevant histomorphological parameters of gills and trunk kidneys, unbiased quantitative stereological methods were applied. In the gills, significant increases in the thickness of the secondary lamella and in the true harmonic mean of barrier thickness in secondary lamellae were present at DCF concentrations of 25 µg L−1 and 100 µg L−1. In the trunk kidneys, the absolute and relative volumes of nephrons were significantly decreased, paralleled by a significant increase of the volume of the interstitial renal tissue. With regard to quantitative histomorphological alterations in the trunk kidney, the observed LOEC was 0.5 µg L−1. The quantitative histomorphological analyses that were conducted allow identification and objective quantification of even subtle but significant morphological effects and thus provide an important contribution for the comparability of study results for the determination of no-observed-effect concentrations (NOEC). Environ Toxicol Chem 2023;42:859–872. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Sustainable Reuse and Recycling of Spent Li‐Ion batteries from Electric Vehicles: Chemical, Environmental, and Economical Perspectives
Authors: Hantanasirisakul Kanit , Sawangphruk Montree 
Published: January 2023

AbstractThe rapidly increasing adoption of electric vehicles (EVs) worldwide is causing high demand for production of lithium‐ion batteries (LIBs). Tremendous efforts have been made to develop different components of LIBs in addition to design of battery pack architectures as well as manufacturing processes to make better batteries with affordable prices. Nonetheless, sustainable use of LIBs relies on the availability and cost of rare metals, which are naturally concentrated in a few countries. In addition, toxic electrolytes used in LIBs pose concerns on environmental impacts if LIBs are not handled properly after decommissioned from EVs. Therefore, it is paramount to realize effective utilization of spent LIBs, where their remaining capacities can be reused in less demanding applications. Finally, electrode materials and other valuable components of LIBs can be recovered via recycling, completing their circular life cycle. In this review, available options of LIBs after their retirement from EV applications, including battery second use, repair of electrode materials by direct regeneration, and material recovery by hydrometallurgical or pyrometallurgical processes are discussed. Throughout the review, the discussion is based around current available technologies, their environmental impacts, and economic feasibility as well as provided examples of pilot and industrial scale adoption of the processes.
Use of pesticides and risk perception of environmental contamination by farmers surrounding the Menoua River (West Cameroon)
Authors: Tache Jose Innoncent Tamdjo , Fai Patricia Bi Asanga , Tamungang Simon Awafor , Riegert Jan 
Published: January 2023

Abstract
Cameroonian farmers regularly use pesticides in farming to control pests, particularly along the riverbank of the Santchou agricultural area. The aim of this study was to assess the perception of farmers in West Cameroon (Santchou area) regarding the contamination risk in aquatic environments from the use of pesticides. A cross-sectional study via questionnaires was conducted among 150 selected farmers who cultivated fields along the banks of the Menoua River. Almost all the farmers (90%) used pesticides regularly, particularly herbicides, insecticides, and fungicides to combat pests. The main pesticides used were glyphosate, paraquat, dieldrin, chlorpyrifos-ethyl, copper oxide, and mancozeb. Farmers who cultivated larger areas of land or who had mixed culture crops tended to use pesticides more often (p &lt; 0.001). The use of river water by farmers was correlated with pesticide use (p = 0.010). Most of the pesticide users (90%) did not use protective equipment when spraying the crops. The farmers' perceptions of the risk of pesticide contamination of the river water (p = 0.002) or fish (p = 0.008) did not influence their actions. A correlation was found among pesticide users who believed that there was a risk of river contamination (45%) or fish contamination (42%) and intensive pesticide application during the rainy season (61%) or non-respect of the prescribed pesticide application doses (51%; p = 0.002). Farmers who regularly or occasionally consumed fish used pesticides more often than those who did not consume fish from the river. The findings of this study emphasize the need for education of farmers in Santchou to prevent the risk of environmental contamination and health hazards from increased dietary and/or dermal pesticide exposure. Integr Environ Assess Manag 2023;19:1600–1608. © 2023 SETAC
NE‐RDFE: A protocol and toolkit for computing relative dissociation free energies with GROMACS between dissimilar molecules using bidirectional nonequilibrium dual topology schemes
Authors: Macchiagodena Marina , Pagliai Marco , Procacci Piero 
Published: January 2023

AbstractWe describe a step‐by‐step protocol and toolkit for the computation of the relative dissociation free energy (RDFE) with the GROMACS molecular dynamics package, based on a novel bidirectional nonequilibrium alchemical approach. The proposed methodology does not require any intervention on the code and allows computing with good accuracy the RDFE between small molecules with arbitrary differences in volume, charge, and chemical topology. The procedure is illustrated for the challenging SAMPL9 batch of host–guest pairs. The article is supplemented by a detailed online tutorial, available at https://procacci.github.io/vdssb_gromacs/NE-RDFE and by a public Zenodo repository available at https://zenodo.org/record/6982932.
Why we need families in genomic research on developmental psychopathology
Authors: Cheesman Rosa , Ayorech Ziada , Eilertsen Espen M. , Ystrom Eivind 
Published: January 2023

AbstractBackgroundFundamental questions about the roles of genes, environments, and their interplay in developmental psychopathology have traditionally been the domain of twin and family studies. More recently, the rapidly growing availability of large genomic datasets, composed of unrelated individuals, has generated novel insights. However, there are major stumbling blocks. Only a small fraction of the total genetic influence on childhood psychopathology estimated from family data is captured with measured DNA. Moreover, genetic influence identified using DNA is often confounded with indirect genetic effects of relatives, population stratification and assortative mating.MethodsThe goal of this paper is to review how combining DNA‐based genomic research with family‐based quantitative genetics helps to address key issues in genomics and push knowledge further.ResultsWe focus on three approaches to obtaining more accurate and novel genomic findings on the developmental aetiology of psychopathology: (a) using knowledge from twin and family studies, (b) triangulating with twin and family studies, and (c) integrating data and methods with twin and family studies.ConclusionWe support the movement towards family‐based genomic research, and show that developmental psychologists are particularly well‐placed to contribute hypotheses, analysis tools, and data.
A hybrid intelligent model for early validation of infectious diseases: An explorative study of machine learning approaches
Authors: Bahaj Saeed Ali 
Published: January 2023

AbstractLiterature reports several infectious diseases news validation approaches, but none is economically effective for collecting and classifying information on different infectious diseases. This work presents a hybrid machine‐learning model that could predict the validity of the infectious disease's news spread on the media. The proposed hybrid machine learning (ML) model uses the Dynamic Classifier Selection (DCS) process to validate news. Several machine learning models, such as K‐Neighbors‐Neighbor (KNN), AdaBoost (AB), Decision Tree (DT), Random Forest (RF), SVC, Gaussian Naïve Base (GNB), and Logistic Regression (LR) are tested in the simulation process on benchmark dataset. The simulation employs three DCS process methods: overall Local Accuracy (OLA), Meta Dynamic ensemble selection (META‐DES), and Bagging. From seven ML classifiers, the AdaBoost with Bagging DCS method got a 97.45% high accuracy rate for training samples and a 97.56% high accuracy rate for testing samples. The second high accuracy was obtained at 96.12% for training and 96.45% for testing samples from AdaBoost with the Meta‐DES method. Overall, the AdaBoost with Bagging model obtained higher accuracy, AUC, sensitivity, and specificity rate with minimum FPR and FNR for validation.
Applications of phenyliodine(III) diacetate in heterocyclic ringformations: An updatefrom 2015 to date
Authors: Alam Mohammed Mujahid , Hussien Mohamed , Bollikolla Hari Babu , Seema Vittal , Dubasi Narsimhaswamy , Amanullah Mohammed , Varala Ravi 
Published: January 2023

AbstractDiacetoxyiodobenzene (PhI(OAc)2), commonly referred to asDAIBor phenyliodine(III) diacetate (PIDA), is one of the most frequently used hypervalent iodines employed as an oxidizing agent in organic chemistry. In this review,PIDAis highlighted exclusively in relation to its applications in organic synthesis involving heterocyclic ring formations and is critically and in‐depth examined from the summer of 2015 to the present with a specific focus on the mechanistic pathway.
The implementation checklist: A pragmatic instrument for accelerating research‐to‐implementation cycles
Authors: Prausnitz Stephanie , Altschuler Andrea , Herrinton Lisa J. , Avins Andrew L. , Corley Douglas A. 
Published: January 2023

AbstractIntroductionLearning health systems require rapid‐cycle research and nimble implementation processes to maximize innovation across disparate specialties and operations. Existing detailed research‐to‐implementation frameworks require extensive time commitments and can be overwhelming for physician‐researchers with clinical and operational responsibilities, inhibiting their widespread adoption. The creation of a short, pragmatic checklist to inform implementation processes may substantially improve uptake and implementation efficiency across a variety of health systems.MethodsWe conducted a systematic review of existing implementation frameworks to identify core concepts. Utilizing comprehensive stakeholder engagement with 25 operational leaders, embedded physician‐researchers, and delivery scientists, concepts were iteratively integrated to create and implement a final concise instrument.ResultsA systematic review identified 894 publications describing implementation frameworks, which included 15 systematic reviews. Among these, domains were extracted from three commonly utilized instruments: the Quality Implementation Framework (QIF), the Consolidated Framework for Implementation Research (CFIR), and the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE‐AIM) framework. Iterative testing and stakeholder engagement revision of a four‐page draft implementation document with five domains resulted in a concise, one‐page implementation planning instrument to be used at project outset and periodically throughout project implementation planning. The instrument addresses end‐user feasibility concerns while retaining the main goals of more complex tools. This instrument was then systematically integrated into projects within the Kaiser Permanente Northern California Delivery Science and Applied Research program to address stakeholder engagement, efficiency, project planning, and operational implementation of study results.ConclusionA streamlined one‐page implementation planning instrument, incorporating core concepts of existing frameworks, provides a pragmatic, robust framework for evidence‐based healthcare innovation cycles that is being broadly implemented within a learning health system. These streamlined processes could inform other settings needing a best practice rapid‐cycle research‐to‐implementation tool for large numbers of diverse projects.
Applying the ICT4H model to understand the challenges for implementing ICT‐based health information services in primary healthcare in South Ethiopia
Authors: Bramo Senait Samuel , Desta Amare , Syedda Munavvar 
Published: January 2023

AbstractIntroductionThe implementation of Information and Communication Technology (ICT) in the Primary Level Health Care (PLHC) of low‐income countries is at the proof‐of‐concept level. Despite the wide‐ranging efforts over the past 35 years, healthcare facilities are grappling with implementation; the essential health information sources are inaccessible. Consequently, the potential benefits are marred by various challenges. Therefore, the aim of this study is to explore the challenges in the implementation of an ICT‐Based Health Information system (ICT‐BHIS) in the PLHC facilities of Wolaita Zone, South Ethiopia.MethodsWe conducted an 8‐month ethnographic study to develop and validate the Chibs ICT4H model. More specifically, a total of 160 h of observational data along with 21 key informant interviews were collected in the form of field notes and audio records. Both data were transcribed and entered into the Qualitative Data Analysis mine software version 1.4. Building on the constant comparative method of data analysis, we identified initial themes inductively, revisited the ICT4H model, and expanded and collapsed the themes prior to interpretation to generate new meaning.ResultsThe findings of this study revealed that infrastructures, financial cost, technical constraints, human capital, stakeholders' engagement, and organizational commitment are the pressing challenges PLHC facilities face in the implementation of ICT‐based health information services.ConclusionsThis implies the need to shift the paradigm/gaze from piecemeals of multiple solo pilot projects to a unified strategy that touches multiple buttons/challenges for the successful implementation of ICT‐BHIS in the context of PLHC facilities.
Nonlinear dynamics of ascorbic acid‐KI interaction on carbon steel corrosion in acid medium
Authors: Garcia‐Ochoa Esteban , Maldonado‐Rivas Pablo , Corvo Francisco 
Published: January 2023

AbstractAscorbic acid (AA) has been reported as a corrosion inhibitor of carbon steel. The combined effect of AA and potassium iodide (KI) in the dynamics of the corrosion process of 1018 carbon steel is studied by electrochemical impedance spectroscopy (EIS) and electrochemical noise (EN) in an acid medium. EN data were used for nonlinear analysis by means of recurrence plots and their corresponding parameters, as well as by delay maps. Important information about the corrosion process of carbon steel corrosion in the presence of these two substances was obtained. AA does not behave as an inhibitor in this system, but the influence of KI is significant in inhibitor efficiency. The dynamics is established mainly by the adsorption of the I− ions on the steel surface and confirmed by the information entropy. The action of AA is to increase the degree of chaos when concentration increases. A relevant aspect determined is the relationship between the nonlinear dynamics of a corrosion process and its intensity.
Insight into polymer concentration, temperature, CO2 content, and Cl− content on corrosion of N80 steel tubing in polymer flooding
Authors: Dong Baojun , Zeng Dezhi , Favero Cédrick , Divers Thomas , Boisse Nicolas , Xu Qinglin , Ling Jing , Xie Kemin , Wang Qizhen 
Published: January 2023

AbstractThe corrosion of N80 steel in polymer flooding is studied, and the safe service life of N80 steel tubing is calculated. The results show that the temperature is the main factor affecting the corrosion of tubing during the process of polymer flooding, and the safe service life of N80 carbon steel tubing at 75°C is only 11.1 years. The polymer is connected by molecular chains to form a network structure and then adsorbed on the surface of the steel. As the polymer concentration increases, the space between polymer molecules becomes smaller; the exposed surface area decreases; and the corrosion rate of N80 steel decreases. Both temperature and Cl− ions destroy the adsorption capacity of the polymer on the carbon steel substrate. The negatively charged chloride ion repels the negatively charged polymer, leading to the resolution of the polymer and reduction of the corrosion inhibition of the polymer. High temperature destroys the polymer's intramolecular and intermolecular aggregation, and also wrecks the long molecular chain polymer structure, significantly inhibiting the corrosion inhibition effect of the polymer.
A D‐band wideband low‐cost array for antenna‐in‐package applications
Authors: Chen Boshen , Tang Yang , Yue Haikun , Chen Yapei , Zhang Dongliang , Deng Xianjin 
Published: January 2023

AbstractA wideband patch array operating at D‐band for antenna‐in‐package applications is presented in this paper. The array consists of two symmetrically positioned subarray elements and a grounded coplane waveguide feed line. Four E‐shaped patches are loaded in the array to enhance bandwidth. All geometry of the array is manufactured on a single‐layer quartz substrate without via hole, so that the difficulty and cost of fabrication are relieved greatly. Good agreements of reflection coefficient, pattern, and gain between measured and simulated results are achieved. Measurement shows that the array exhibits a −10 dB bandwidth of 19 GHz from 138 to 157 GHz and a 3‐dB gain bandwidth covering 140–159 GHz with a peak gain of 11.8 dBi at 147 GHz. Properties of wideband, moderate gain, low cost, and easy manufacture are achieved in this array.