bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ground motion models for Fourier amplitude spectra and response spectra using Machine learning techniques
Authors: Meenakshi Yellapragada , Sreenath Vemula , STG Raghukanth 
Published: November 2023

AbstractOne of the main objectives in engineering seismology or in seismic hazard studies is to estimate the possible ground motion for a given earthquake scenario. In the sparse data regions mostly the ground motion models (GMM) are developed using either seismological models or hybrid empirical approaches. However, if these GMMs do not accommodate the regional seismological attributes, a large uncertainty in ground motion estimates is possible. To overcome this concern, scaling 5% damped Pseudo Spectral Acceleration (PSA) from Fourier amplitude spectra (FAS) proves to be physically consistent as it can capture both spatial and temporal characteristics of the ground motion. Hence, the present study aims to develop a GMM for PSA using FAS and significant duration as the predictor variables. However, since there are few GMMs available for FAS, the current study also aims to develop a GMM for FAS using the earthquake parameters as the predictor variables for intraplate regions. This article employs an Artificial Neural Network (ANN) to develop both GMMs using the Next Generation Attenuation (NGA)‐East database for both horizontal (Effective Amplitude spectra for FAS and RotD50 component for PSA) and vertical components. To verify the performance of the developed models, the residuals analysis and parametric studies have been performed. The parametric study shows that the GMMs can capture the magnitude and distance scaling consistent with the observations. Further, the PSA GMM compared with the global GMMs and it is observed that the predictions lie well within the median of all the available models, proving the models’ effectiveness in estimating the ground motion predictions for future data. The developed model can be used only within the considered ranges of the predicted variables such as rupture distances between [19.05–1000] km, the Mw ranges from [3.12–5.74] with Vs30 in the range of [209–2000] m/s.
New Zealand's braided rivers: The land the law forgot
Authors: Brower Ann , Hoyle Jo , Gray Duncan , Buelow Franca , Calkin Aimee , Fuller Ian , Gabrielsson Rasmus , Grove Philip , Brierley Gary , Louie Alice Jean Sai , Rogers Justin , Shulmeister Jamie , Uetz Kimberley , Worthington Sarah , Vosloo Renate 
Published: November 2023

AbstractThis paper highlights a disjunct between geomorphic concepts of braided riverbed lateral boundaries and legal definitions used to decide these boundaries in New Zealand—a country that hosts over 150 gravel‐bed braided rivers. These powerful morphodynamic systems are prone to recurrent bar reworking and channel shift. When parts of the riverbed are temporarily abandoned by active channels, they are vulnerable to land use intensification. Associated flood protection measures that often follow intensification constrict the rivers' capacity to adjust to ever‐changing flows of water and sediment. Despite the rivers' vulnerability and constriction, New Zealand law defines braided rivers in a way that limits local councils' authority to manage land use within the braidplain. This paper explores the relationship between the law and science of braided rivers, demonstrating how legislative reforms underway in 2023 express the ways in which particular social processes play out in the landscape.
Effect of synthesis routes on electrochemical properties as supercapacitor electrode for novel spinel (CuNiFeMnCo)3O4 high entropy oxide
Authors: Gupta Amit K. , Singh Aryan , Kumari Priyanka , Giri Neeraj K. , Shahi Rohit R. 
Published: November 2023

AbstractThe aim of the present study is to investigate the effect of synthesis routes on phase evolution, microstructure, change in ionic state and their co‐relation with electrochemical charge storage, and magnetic properties of novel (CuNiFeMnCo)3O4 high entropy spinel oxide (HESO). We successfully synthesized novel (CuNiFeMnCo)3O4 HESO through two different synthesis methods, that is, sol‐gel and reverse coprecipitation methods abbreviated as SA‐1 and SA‐2, respectively. The XRD analysis for both samples reveals the formation of inverse spinel phase (space group Fd‐3m) with the lattice constant of 8.3602 and 8.2502 Å for SA‐1 and SA‐2, respectively. The sample synthesized through the sol‐gel method possessed porous morphology, whereas the sample synthesized through the reverse coprecipitation method had spherical particles. The x‐ray photoelectron spectroscopy confirmed the presence of +2 and +3 ionic states for Fe, Ni, and Co, while Cu has a + 2 state and Mn exist in +3 and +4 states for both the synthesized samples. The ionic states of all cations remain invariant irrespective of the synthesis methods. However, the concentration of oxygen vacancy is significantly different for samples synthesized through different routes. Both the HESO electrodes show the electrochemical double‐layer capacitive type behavior in 2 M KOH electrolytic solution. The value of maximum specific capacitance is 38.46 and 34.24 F/g at a scan rate of 5 mV/s for SA‐1 and SA‐2, respectively. Moreover, the electrodes have capacity retention of 90 and 99% for 1000 cycles at a scan rate of 50 mV/s for SA‐1 and SA‐2, respectively. The magnetic property of the synthesized HESO samples was also investigated, and the found values of magnetization and coercivity are 1.79 emu/g and 54.9 Oe and 8.5 emu/g and 67.69 Oe for SA‐1 and SA‐2, respectively.
Recent advances in battery characterization using in situ XAFS, SAXS, XRD, and their combining techniques: From single scale to multiscale structure detection
Authors: Cheng Weidong , Zhao Mengyuan , Lai Yuecheng , Wang Xin , Liu Huanyan , Xiao Peng , Mo Guang , Liu Bin , Liu Yunpeng 
Published: November 2023

AbstractRevealing and clarifying the chemical reaction processes and mechanisms inside the batteries will bring a great help to the controllable preparation and performance modulation of batteries. Advanced characterization techniques based on synchrotron radiation (SR) have accelerated the development of various batteries over the past decade. In situ SR techniques have been widely used in the study of electrochemical reactions and mechanisms due to their excellent characteristics. Herein, the three most wide and important synchrotron radiation techniques used in battery research were systematically reviewed, namely X‐ray absorption fine structure (XAFS) spectroscopy, small‐angle X‐ray scattering (SAXS), and X‐ray diffraction (XRD). Special attention is paid to how these characterization techniques are used to understand the reaction mechanism of batteries and improve the practical characteristics of batteries. Moreover, the in situ combining techniques advance the acquisition of single scale structure information to the simultaneous characterization of multiscale structures, which will bring a new perspective to the research of batteries. Finally, the challenges and future opportunities of SR techniques for battery research are featured based on their current development.
The effects of the Friendship Online Intervention Program on physical activity, substance abuse, psychosomatic symptoms, and well‐being among at‐risk youth
Authors: Glaser Michal , Green Gizell , Barak Sharon , Bord Shiran , Levi Sharon , Jakobovich Ronit , Dunsky Ayelet , Zigdon Avi , Zwilling Moti , Tesler Riki 
Published: November 2023

AbstractIntroductionAt‐risk youth are those who are currently or potentially exposed to physical, mental, or emotional danger. The Friendship Online Intervention Program (FOIP) was created to encourage physical activity (PA) and reduce risky behavior among vocational secondary‐school youth in Israel. We wanted to evaluate the effect of FOIP on PA, substance abuse, and psychological factors, including psychosomatic symptoms and well‐being.MethodsFrom October 2021 to June 2022, nonrandom sampling was employed to select at‐risk youth from vocational secondary schools for participation in the FOIP. Before and after the intervention, questionnaires were administered to the intervention and control groups. The effects of FOIP were evaluated by univariate and multivariable analyses.ResultsThe intervention (n = 103) and control (n = 77) groups showed similar levels of PA, cigarette smoking, and alcohol consumption at the beginning of the study. At follow‐up, the intervention group showed a 57% increase in PA versus no change for the control group and decreased levels of smoking compared to the control group (p < .001). Similarly, in the intervention group, the number of psychosomatic symptoms decreased (effect size = 1.68) and life satisfaction increased (effect size = 0.86). Group assignment (intervention or control group) significantly predicted PA level, cigarette smoking, psychosomatic symptoms, and life satisfaction (adjusted R2 = .46, .20, .08, and .28, respectively) with participants in the intervention group showing more favorable results compared with the control group.ConclusionsFOIP was effective in increasing PA and decreasing risky behaviors among youth. FOIP may help at‐risk youth build resilience and promote their physical and mental health.
Combined in silico and in vitro approaches to identify P‐glycoprotein‐inhibiting pesticides
Authors: Guéniche Nelly , Lakehal Zeineb , Habauzit Denis , Bruyère Arnaud , Fardel Olivier , Le Hégarat Ludovic , Huguet Antoine 
Published: November 2023

AbstractThe P‐glycoprotein (P‐gp) efflux pump plays a major role in xenobiotic detoxification. The inhibition of its activity by environmental contaminants remains however rather little characterised. The present study was designed to develop a combination of different approaches to identify P‐gp inhibitors among a large number of pesticides using in silico and in vitro models. First, the prediction performance of four web tools was evaluated alone or in combination using a set of recently marketed drugs. The best combination of web tools—AdmetSAR2.0/PgpRules/pkCSM—was next used to predict P‐gp activity inhibition by 762 pesticides. Among the 187 pesticides predicted to be P‐gp inhibitors, 11 were tested in vitro for their ability to inhibit the efflux of reference substrates (rhodamine 123 and Hoechst 33342) in P‐gp overexpressing MCF7R cells and to inhibit the efflux of the reference substrate rhodamine 123 in the Caco‐2 cell monolayer. In MCF7R cell assays, ivermectin B1a, emamectin B1 benzoate, spinosad, dimethomorph and tralkoxydim inhibited P‐gp activity; ivermectin B1a, emamectin B1 benzoate and spinosad were determined to be stronger inhibitors (half‐maximal inhibitory concentration [IC50] of 3 ± 1, 5 ± 1 and 7 ± 1 µM, respectively) than dimethomorph and tralkoxydim (IC50 of 102 ± 7 and 88 ± 7 µM, respectively). Ivermectin B1a, emamectin B1 benzoate, spinosad and dimethomorph also inhibited P‐gp activity in Caco‐2 cell monolayer assays, with dimethomorph being a weaker P‐gp inhibitor. These combined approaches could be used to identify P‐gp inhibitors among food contaminants, but need to be optimised and adapted for high‐throughput screening.
Effects of mercury chloride on antioxidant and inflammatory cytokines in zebrafish embryos
Authors: Bhai Modi K. P. , Binesh Ambika , Shanmugam S. A. , Venkatachalam Kaliyamurthi 
Published: November 2023

AbstractIn this study, a zebrafish embryo toxicity model was employed, utilizing 24 h postfertilization (hpf) zebrafish embryos. These embryos were treated with varying concentrations of mercuric chloride for 96 h under static conditions. We assessed multiple parameters that reflected developmental abnormalities, behavioral alterations, morphological anomalies, antioxidant enzyme activities, including those of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPX), and glutathione S‐transferase (GST), immune messenger RNA transcription levels of key factors such as tumor necrosis factor α (TNF‐α), interleukin‐1β (IL‐1β), interleukin‐6 (IL‐6), and cyclooxygenase 2 (COX‐2), as well as protein expression of TNF‐α. The results revealed that embryos exposed to higher concentrations of mercury exhibited reduced hatchability and increased rates of morphological abnormalities and mortality at 48, 72, and 96 hpf. In addition, a concentration‐dependent increase in developmental abnormalities, including cardiac edema, reduced body length, yolk sac edema, scoliosis, and bent tails, was observed. Larval behaviors, such as touch‐induced escape responses, startle reactions, and turning actions, were found to be diminished in a concentration‐dependent manner. Additionally, the activities of various antioxidative enzymes, such as SOD, CAT, and GST, exhibited an increase at higher mercury concentrations, with the exception of GPX activity, which decreased significantly in a dose‐dependent manner (p < 0.05). Pro‐inflammatory cytokine transcription levels, specifically TNF‐α, IL‐1β, IL‐6, and COX‐2, were significantly upregulated in a dose‐dependent manner in the mercuric (II) chloride (HgCl2) treatment group compared with the control group. TNF‐α protein expression was notably elevated in the larvae group treated with 300 and 400 nM HgCl2.
Influence of desalination concentrate medium on microalgal metabolism, biomass production and biochemical composition
Authors: Matos Ângelo Paggi , Saldanha‐Corrêa Flávia Marisa Prado , Hurtado Gabriela Ramos , Vadiveloo Ashiwin , Moheimani Navid Reza 
Published: November 2023

AbstractReverse osmosis is currently the most promising method for addressing freshwater scarcity in numerous nations, enabling the production of drinkable water for human consumption. This process, however, generates a byproduct stream, known as desalination concentrate (DC), that is enriched with high concentrations of salts such as Na+and Cl−, moderate levels of SO42−, Mg2+, Ca2+and K+and trace levels of Si, Fe3+, NO3−and PO43−, which can be suitable and valuable for microalgal metabolism and growth. Salt concentration in DC can significantly influence microalgal growth via effects through osmotic shock, salt stress and cellular ionic ratios. Under certain conditions, these salinity changes can have a positive impact on microalgal metabolism, such as the synthesis of lipophilic compounds that include lipids, fatty acids and carotenoids. This mini‐review aims to provide up‐to‐date information of recent studies conducted towards the use of DC as a potential substrate for microalgal cultivation as well as to summarize the response mechanism of microalgae when cultured in DC. Several laboratory‐based studies have examined the effect of different DC concentrations on the biochemical composition of microalgae grown either in photobioreactors or in raceway ponds. These studies have uncovered significant effects of DC on the synthesis of proteins, amino acids and phycocyanin in freshwater species likeChlorella vulgarisandArthrospira platensis, where DC tends to hinder these processes. Conversely, experiments with halophilicDunaliella salinaand marineNannochloropsis gaditanahave demonstrated that increasing DC concentration can positively influence the production ofβ‐carotene, lipids and specific saturated fatty acids (C16:0and C18:0), suggesting that these species can adapt to a broader range of DC salinities. Cultivating salinity‐tolerant microalgae in DC would greatly reduce the production cost of algal‐based products, offering a promising approach to enhance the profitability of desalination and microalgal industries. © 2023 Society of Chemical Industry (SCI).
From data through discount rates to the area under the curve
Authors: Killeen Peter R. 
Published: November 2023

AbstractThe rate of discounting future goods is a crucial factor in intertemporal trade‐offs, upon which depends not only individual well‐being but also that of our planet: How much privation now for a temperate future for our grandchildren? What is the best way to measure how the value of future goods decreases with its delay? The most accurate discount functions involve several covarying parameters, making interpretation equivocal. A universal and robust measure is the area under the discount curve, the AuC. The AuC of a hyperbolic discount function is a logarithmic function of the discount rate, k. The same integral also approximates the area under a hyperboloid function. A simple technique converts each datum into estimates of the discount rate, eliminating rogue data points in the process. These trimmed estimates are converted into areas and tested against data, where they succeed at predicting the AuC and its relation to log(k).
Effects of hypermobile Ehlers‐Danlos syndrome patients on the workflow and professional satisfaction of genetic counselors
Authors: Eckstein Lauren , Helm Benjamin M. , Baud Rebecca , Francomano Clair A. , Halverson Colin 
Published: November 2023

AbstractThe Ehlers‐Danlos syndromes (EDS), a group of uncommon connective tissue disorders, are, paradoxically, an increasingly common referral to genetics specialists. Of the 13 types of EDS, the most common is hypermobile EDS (hEDS), which lacks a known genetic etiology and for which diagnosis is achieved via a robust set of clinical criteria. While previous investigations have characterized many clinical aspects of EDS as a syndrome and patients' lived experiences, a gap in the literature exists regarding clinicians' experience caring for these individuals. This study sought to understand the effects of hEDS patient referrals from genetic counselors' perspectives. To capture these novel views and values, we conducted semi‐structured interviews with 15 participants who were members of the National Society of Genetic Counselors (NSGC) and had experience working with the hEDS patient population. Interview questions explored the frequency of hEDS referrals in their clinic, investigated their roles and responsibilities as genetic counselors when working with this population, analyzed their workflow for this indication, assessed the impacts on their professional satisfaction, and explored potential options for improving workflow and care for the hEDS patient population. Reflexive thematic analysis yielded four themes: (1) Referrals for hEDS have generally increased over time and many institutions have implemented new policies to control this influx, (2) genetic counselors' primary roles include education and addressing psychosocial matters for this population, (3) genetic counselors feel both rewarded and challenged by these referrals, and (4) genetic counselors call for more education and training on hEDS for all healthcare specialties. Our findings provide a better understanding of the goals of the hEDS patient referrals to genetics specialists and the opportunities and challenges those referrals present. Genetic counselors have specific training and skills in psychosocial counseling and communication, in some ways making them ideal care providers for this population. However, they are simultaneously a scarce resource and the complex medical issues presented by many patients with hEDS make multidisciplinary management essential. We conclude with potential avenues for improving interactions with this population.
Threshold level of Peptest in diagnosing gastroesophageal reflux disease with extraesophageal symptoms: Evidence from Vietnam
Authors: Nguyen Linh T , Le Tung D , Hoang Long B , Vu Vung T , Nguyen Thang D , Luu Hue T M , Do Phuong N , Van Nguyen Anh , Van Dao Long , Larsson Mattias , Olson Linus , Dao Hang V 
Published: November 2023

AbstractBackground and AimWe aimed to evaluate the application of Peptest, a novel technique to detect pepsin in the saliva, and identify its threshold level for the diagnosis of gastroesophageal reflux disease (GERD) with extraesophageal symptoms.MethodsA cross‐sectional study was conducted in two groups: patients with extraesophageal GERD symptoms (symptomatic group divided into GERD and non‐GERD groups according to 24‐h esophageal pH‐impedance monitoring [pH‐I] results) and healthy controls. For the symptomatic group, endoscopy, pH 24 h, high‐resolution manometry (HRM), and salivary Peptest were performed. For the healthy control group, only Peptest was done. The accuracy of Peptest was compared with that of pH‐I by the Lyon consensus criteria.ResultsChronic laryngitis was the most frequent extraesophageal symptom. On saliva testing, the GERD group had a higher prevalence of positive samples and pepsin concentration than the control group. Between GERD and non‐GERD groups, the optimal threshold level was 31.2 ng/mL, with a sensitivity of 86.7% and specificity of 27.5%. The optimal threshold level was 31.4 ng/mL to differentiate GERD from healthy controls, with a sensitivity of 86.7% and specificity of 66.0%. Age, number of total refluxes, DeMeester score, post‐reflux swallow‐induced peristaltic wave (PSPW) index, and mean nocturnal baseline impedence (MNBI) were associated with pepsin concentration. Regarding HRM metrics, there was no significant difference of pepsin concentration between low/normal upper esophageal sphincter (UES) resting pressure, low/normal lower esophageal sphincter (LES) resting pressure, low/normal 4‐s integrated relaxation pressure (IRP4s), and hypomotility/normal motility.ConclusionPatients with extraesophageal symptoms had a higher prevalence of positive Peptest. The optimum threshold level of 31.4 ng/mL had high sensitivity and moderate specificity to differentiate between patients with GERD and healthy controls.
A novel anoikis‐related prognostic signature associated with prognosis and immune infiltration landscape in lung adenocarcinoma
Authors: Liu Yue , Hu Shiqi , Teng Meixin , Qing Yang , Dong Xiao , Chen Linsong , Ai Kaixing 
Published: November 2023

AbstractBackgroundOne of the most prevalent malignancies in the world is lung adenocarcinoma (LUAD), with a large number of people dying from lung cancer each year. Anoikis has a crucial function in tumor metastasis, promoting cancer cell shedding and survival from the primary tumor site. However, the role of anoikis in LUAD is still unclear.MethodsThe GeneCard database (https://www.genecards.org/) was utilized to obtain anoikis‐related genes with correlation greater than 0.4. Differential analysis was employed to acquire differential genes. Univariate, multifactorial Cox analyses and the least absolute shrinkage and selection operator were then utilized to capture genes connected to overall survival time. These genes were used to build prognostic models. The predictive model was analyzed and visualized. Survival analysis was conducted on the model and risk scores were calculated. The TCGA samples were split into groups of low and high risk depending on risk scores. A Gene Expression Omnibus database sample was used for external verification. Immunization estimates were performed using ESTIMATE, CiberSort and single sample gene set enrichment analysis. The connection between the prognostic gene model and immune cells was analyzed. Drug susceptibility prediction analysis was performed. The clinical information for samples was extracted and analyzed.ResultsWe selected six genes related to anoikis in LUAD to construct a prognosis model (CDC25C, ITPRIP, SLCO1B3, CDX2, CSPG4 and PIK3CG). Compared with cases of high‐risk scores, the overall survival of those with low risk was significantly elevated based on Kaplan–Meier survival analysis. Immune function analysis exhibited that different risk groups had different immune states. The results of ESTIMATE, CiberSort and single sample gene set enrichment analysis showed great gaps in immunization between patients in the two groups. The normogram of the risk score and the LUAD clinicopathological features was constructed. Principal component analysis showed that this model could effectively distinguish the two groups of LUAD patients.ConclusionsWe integrated multiple anoikis‐related genes to build a prognostic model. This investigation demonstrates that anoikis‐related genes can be used as a stratification element for fine therapy of individuals with LUAD.