bluuebunny/crossref_metadata_2025_split huggingface dataset:
Restoration and preservation effects of mung bean antioxidant peptides on H2O2‐induced WRL‐68 cells via Keap1‐Nrf2 pathway
Authors: Miao Xue , Liu Xin , Chen Hongsheng , Wang Changyuan , Diao Jingjing 
Published: August 2023

AbstractMung bean antioxidant peptides (MBAPs) were prepared from mung bean protein hydrolysate, and four peptide sequences including Ser‐Asp‐Arg‐Thr‐Gln‐Ala‐Pro‐His (~953 Da), Ser‐His‐Pro‐Gly‐Asp‐Phe‐Thr‐Pro‐Val (~956 Da), Ser‐Asp‐Arg‐Trp‐Phe (~710 Da), and Leu‐Asp‐Arg‐Gln‐Leu (~644 Da) were identified. The effects of MBAPs on the oxidation‐induced normal human liver cell line WRL‐68 were analyzed to determine the mechanism protecting the oxidation‐induced injury. The results showed that the cells were subjected to certain oxidative damage by H2O2 induction, as evidenced by decreased cell number and viability, overproduction of intracellular ROS, and decreased mitochondrial membrane potential. Compared with the H2O2‐induced group, the MBAP‐treated oxidation‐induced group exhibited significantly higher cell number and viability, and the intracellular ROS was similar to that of the control group, suggesting that MBAP scavenges excessive intracellular free radicals after acting on the oxidation‐induced cells. Combined with Western blotting results, it was concluded that the MBAP‐treated oxidation‐induced group also significantly promoted the expression of proteins related to the kelch‐like ech‐related protein 1 (Keap1)/ nuclear factor e2‐related factor 2 (Nrf2) signaling pathway, which resulted in an approximately 2‐fold increase in antioxidant enzymes, and a decrease in malondialdehyde content of approximately 55% compared to oxidatively‐induced cells, leading to the recovery of both cell morphology and viability. These results suggest that MBAPs scavenge intracellular free radicals and improve oxidative stress in hepatocytes through the expression of Keap1/Nrf2 pathway‐related protein, thereby reducing oxidative attack on the liver. Therefore, MBAP is applied as a nutritional ingredient in the functional food field, and this study provides a theoretical basis for the high utilization of mung bean proteins.
Food menus within New Zealand primary school canteens: Do they meet the guidance?
Authors: Pillay Danika , Piddington Marsha , Ali Ajmol , Wham Carol 
Published: August 2023

AbstractIssue AddressedUnhealthy food and drinks are widely available in New Zealand school canteens. The aim of this study was to assess primary school canteen food menus against the newly implemented Ministry of Health ‘Food and Drink Guidance for Schools’.MethodsA convenience sample of 133 primary school canteen menus was collected in 2020 as part of the baseline evaluation of the Healthy Active Learning initiative across New Zealand. A menu analysis toolkit was developed to assess menus in accordance with the Ministry of Health's ‘Food and Drink Guidance for Schools’ which classifies food items into three food categories: ‘green’, ‘amber’ and ‘red’.ResultsMost menu items belonged to the less healthy amber (41.0%) and red (40%) food categories. Low decile schools had a lower percentage of green food items (8.6%) and a higher percentage of red food items (48.3%) compared to high decile schools. Sandwiches, filled rolls and wraps were the most commonly available items, followed by baked foods and foods with pastry. Over half of the in‐house canteen menu items were classified as ‘red’ foods (55.3%).ConclusionsMost school canteens were not meeting the guidelines for healthy food and drink provision outlined by the Ministry of Health. Improving the food environment for children in socio‐economically deprived areas needs to be prioritised to reduce inequities.So What?This study highlights the unhealthy food environments in New Zealand schools and emphasises the need for more robust national policies and mandated school guidance.
Challenges and opportunities in prostate cancer surgery in South America: Insights into robot‐assisted radical prostatectomies—A perspective
Authors: Bharadwaj Hareesha Rishab , Wireko Andrew Awuah , Adebusoye Favour Tope , Ferreira Tomas , Pacheco‐Barrios Niels , Abdul‐Rahman Toufik , Mykolayivna Nikitina Iryna 
Published: August 2023

AbstractBackground and AimsProstate cancer imposes a significant health burden, particularly in South America with its high incidence and mortality rates. This article explores the emergence of robot‐assisted radical prostatectomy (RARP) as a potential solution in the region.MethodsThis study relies on a comprehensive review of relevant literature. The analysis highlights the advantages of RARP, identifies impediments to its implementation, and proposes strategies to overcome these barriers.ResultsRARP demonstrates notable benefits, including improved functional outcomes, reduced complications, and minimized incisions. However, the integration of RARP in South America is hindered by challenges such as regional disparities, financial limitations, and data gaps. Limited healthcare infrastructure and a scarcity of skilled professionals further compound the issues.ConclusionDespite its potential, RARP faces obstacles to widespread adoption in South America. Strategic solutions encompassing technology investment, healthcare infrastructure enhancement, and workforce training are imperative. Overcoming these challenges can establish RARP as a crucial tool in managing prostate cancer in the region, ultimately enhancing patient care and treatment outcomes.
Engineering multifunctional adhesive hydrogel patches for biomedical applications
Authors: Chakraborty Aishik , Alexander Shana , Luo Wei , Al‐Salam Narisse , Van Oirschot Mia , Ranganath Sudhir H. , Chakrabarti Subrata , Paul Arghya 
Published: August 2023

AbstractTraditional patches, such as sticking plaster or acrylic adhesives used for over a hundred years, lack functionality. To address this issue of poor functionality, adhesive hydrogel patches have emerged as an efficient bioactive multifunctional alternative. Hydrogels are three‐dimensional, water‐swellable, and polymeric materials closely resembling the native tissue architecture. The physicochemical properties of hydrogels can be modified easily, allowing them to be suitable for various biomedical applications. Moreover, adhesive properties can be imparted to hydrogels through physicochemical manipulations, making them ideal candidates for supplementing or replacing traditional sticking plaster. As a result, sticky hydrogel patches are widely used for transdermal drug delivery and have even found commercial purposes. Beyond transdermal delivery, such hydrogel patches have also found applications in cardiac therapy, cancer research, and biosensing, among other applications. In this mini‐review, we critically discuss the challenges of fabricating multifunctional adhesive hydrogel patches. Furthermore, we introduce some of the chemical strategies involved with fabricating the patches. We also review their emerging biomedical applications. Finally, we explore their potential future in the flourishing field of tissue engineering and drug delivery.
Negative urgency, distress tolerance, and symptoms of substance use, eating, and borderline personality disorders in treatment‐seeking young people
Authors: Mattingley Sophie , Youssef George J. , Graeme Liam , Sloan Elise , Manning Victoria , Hall Kate 
Published: August 2023

AbstractObjectiveNegative urgency (NU) and distress tolerance (DT) are two similar yet distinct constructs with putative transdiagnostic relevance, particularly across psychopathology characterized by impulsivity (e.g., substance use disorders [SUD], eating disorders featuring binging and/or purging ED‐B/P, and borderline personality disorder [BPD]). Yet, there remains a lack of research into NU and DT across SUD, ED‐B/P, and BPD symptomatology in clinical populations. The present study sought to elucidate the transdiagnostic utility of NU and DT across impulsive‐type psychology by examining the unique and interactive roles of NU and DT across SUD, ED‐B/P, and BPD symptomatology within a treatment‐seeking sample of young people.MethodParticipants (N = 385; 62.3% female; aged 16–25 years) were recruited from youth health services across Melbourne, Australia. Participants completed an online survey including self‐report measures of NU and DT as well as SUD, ED‐B/P, and BPD symptoms. Mixed effects logistic regression was used to explore unique and interactive associations of NU and DT with symptoms.ResultsBoth NU (adjusted odds ratio [ORadj] = 1.22; 95% confidence interval [CI] = [1.16, 1.28]) and global DT (ORadj = 0.59; 95% CI = [0.47, 0.74]) uniquely predicted symptoms. However, associations with global DT and most of its components differed across psychopathology types. No significant interactions between NU and DT in predicting symptoms were found.ConclusionsThese results support the transdiagnostic utility of NU across SUD, ED‐B/P, and BPD, while suggesting the role of DT across these disorders is more nuanced. These findings have important implications for NU and DT as potential intervention targets.
Assessing posttraumatic stress disorder symptom clusters with the Minnesota Multiphasic Personality Inventory‐3 in a forensic disability sample
Authors: Kremyar Andrew J. , Ben‐Porath Yossef S. , Sellbom Martin , Gervais Roger O. 
Published: August 2023

AbstractObjectivePrevious evidence indicates that scales from the Minnesota Multiphasic Personality Inventory (MMPI) family of instruments can measure self‐reported posttraumatic stress disorder (PTSD) symptomology and differentiate symptom clusters, including in forensic disability assessments. However, limited research has examined assessment of PTSD symptoms with the MMPI‐3, the most recent MMPI instrument. The goal of the current study was to identify the strongest MMPI‐3 scale predictors of individual PTSD symptom clusters, measured via self‐report.MethodsUsing a sample of 716 disability claimants (54.2% men; Mage = 42.98, SD = 10.87; 81.8% White), correlation, regression, and dominance analyses were performed to examine associations between scores on MMPI‐3 scales and latent PTSD symptom cluster factors derived using confirmatory factor analyses from items of the Detailed Assessment of Posttraumatic Stress (DAPS), and to identify the strongest predictor of each symptom cluster when MMPI‐3 scales were concurrently considered.ResultsResults indicate that conceptually expected MMPI‐3 scale scores were meaningfully associated with PTSD symptom cluster factors, with the MMPI‐3 Anxiety‐Related Experiences (ARX) scale demonstrating the strongest and most consistent associations across symptom clusters.ConclusionsResults of the current study largely converge with previous empirical studies of self‐reported PTSD symptoms in disability claimant settings with the MMPI instruments. Interpretive implications for the MMPI‐3, limitations, and future research directions are discussed.
Longitudinal relationship between child maltreatment, bullying victimization, depression, and nonsuicidal self‐injury among left‐behind children in China: 2‐year follow‐up
Authors: Yan Ru , Ding Wan , Wang Die , Lin Xiongli , Lin Xiuyun , Li Weijian , Xie Ruibo 
Published: August 2023

AbstractBackgroundLeft‐behind childre (LBC) in China are deeply concerned by society because of their high risk of emotional and behavioral problems. Depression and nonsuicidal self‐injury are the most harmful and worrying negative emotional and behavioral problems in LBC. Unfortunately, LBCs are in unfavorable environments for a long time and are prone to negative interpersonal interactions. Child maltreatment and bullying victimization, as the two most typical negative interpersonal interactions in family and school environments, maybe the key risk factors for depression and nonsuicidal self‐injury among LBCs. However, we are less known of the longitudinal effects of child maltreatment and bullying victimization on LBC's depression and nonsuicidal self‐injury and their underlying mechanisms.AimsThis study used a two‐year longitudinal design with three‐time points to investigate the longitudinal effects of child maltreatment and bullying victimization on depression, nonsuicidal self‐injury, and the mediating role of negative thoughts and self‐compassion.Materials & MethodsA sample of 592 LBC (390 were males, Mage at time 1 = 9.56, SDage = 0.65; 202 were females, Mage at time 1 = 9.43, SDage = 0.63) completed a set of questionnaires at three‐time points. This study used SPSS software (version 25.0) and MPLUS software (version 8.3) for all analyses.Results(1) Child maltreatment not only affects depression and nonsuicidal self‐injury but also affects depression and nonsuicidal self‐injury through negative thoughts. Child maltreatment affects depression through self‐compassion and does not affect nonsuicidal self‐injury. (2) Bullying victimization affects depression and nonsuicidal self‐injury through negative thoughts and bullying victimization further affects depression through self‐compassion but does not affect nonsuicidal self‐injury.ConclusionThis study revealed the effects of negative interpersonal interactions (child maltreatment, bullying victimization) on LBC's adverse emotions and behaviors, and their underlying mechanisms, which helps to provide parents, schools, and psychoeducational workers with a new perspective on intervention.
Low‐powerFinFETbased boost converter design using dynamic threshold body biasing technique
Authors: Sharma Kulbhushan , Thakur Sandeep , Elangovan M. , Sachdeva Ashish 
Published: August 2023

AbstractThe recent development in the field of sustainable energy solution for ultra‐low power application is attracting the attention of researchers. This paper is themed on the boosting of input harvested voltage from micro thermo‐electric generator to an appropriate output voltage level. This research proposed an optimized DC–DC boost converter design comprising of cross‐coupled FinFET based LC resonant oscillator and FinFET three‐stage charge pump circuit. The design utilizes the dynamic threshold body biasing technique to control the threshold voltage of FinFET switches and enhance the performance in sub‐threshold region. This design succeeded in achieving 29.25% peak power conversion efficiency to generate 438 mV output voltage from 96 mV minimum input voltage while consuming 344 nW of power only. Further, the proposed boost converter shows peak voltage conversion efficiency of 53.51% and settling time of 121 μS for 1% band. The performance of proposed boost converter observed for rigorous process, temperature and load variations is within acceptable limits. In contrast to MOSFET technology, the adopted 18 nm FinFET technology make the proposed design excellent to tackle the challenges of short channel effects in ultra‐low power application.
Agricultural expansion and forest retreat in Mainland Southeast Asia since the late 1980s
Authors: Xiao Chiwei , Li Peng , Feng Zhiming 
Published: August 2023

AbstractAgrarian expansion and intensification in the tropical agricultural‐forest frontiers (TAFF) are continuously encroaching on forests, yet the magnitudes and processes of agricultural‐forest advances and retreats remain lacking investigation systematically and quantitatively. With over three‐decade (1987–2018) of land‐cover products, here, we revealed the spatiotemporal dynamic processes of agricultural advance and forest retreat and then quantified forest loss (FL) due to cropland and plantation expansion (PE) in Mainland Southeast Asia (MSEA). First, the agricultural expansion and FL peaked in the late 1990s to early 2000s and decelerated afterward in MSEA. Meanwhile, the continuous decline in deforestation rates was accompanied by a decline in the patches of forest fragments, while cropland and plantations first decreased and then increased. Second, 85% of cropland expansion (CE) occurred in forest frontiers of Myanmar (37%) and Thailand (32%) in particular, compared with 72% of PE in plantation‐forest frontiers, for example, 24% in Thailand and 22% in Cambodia. Third, 51% and 37% of the forests that declined were converted into cropland and plantations, respectively, with obvious national variations. In the least developed countries, such as Myanmar and Cambodia, CE dominated (65%), while the proportion of PE in Thailand and Vietnam was up to 56%. Finally, over 10% of the advances and retreats (re‐)occurred in various protected areas, with the expansion ratio of cropland and plantations nearly 1:2, particularly the Cambodia‐Thailand border. We thus appeal for more effective efforts from governments, the scientific community, and international initiatives (e.g., the UN‐REDD and Sustainable Development Goals) to further study and solve the issues of forest retreat and agricultural advance across the entire TAFF. Our new findings and insights about agricultural‐forest advances and retreats in their frontiers can enrich existing pan‐regional research of forest conversion or FL and agricultural expansion and provide an encouraging basis for action to reduce environmental degradation in tropical forests, including protected areas.
Environmental decision support system development for natural distribution prediction ofFestuca ovinain restoration of degraded lands
Authors: Saffariha Maryam , Jahani Ali , Roche Leslie M. , Hosseinnejad Zeinab 
Published: August 2023

AbstractAnthropogenic activities, species invasions, and ecological factors are driving rapid changes in rangeland ecosystems. For ensuring the richness and sustainability of plant species habitats, there is a pressing need for a reliable prediction model that can accurately forecast and map species distribution under varying ecological conditions. We aimed to compare the performance of three widely used machine learning methods: Multilayer perceptron (MLP), radial basis function (RBF), and support vector machine (SVM) in predicting the distribution ofFestuca ovinain mountainous protected rangelands. We conducted our investigation by analyzing the distribution ofF. ovinain 305 randomly selected plant sample plots. In each plot, we recorded 10 ecological variables. Three machine learning models were developed to predict the likelihood ofF. ovinadistribution. Our results demonstrated that the RBF model had a higher number of misclassifications (11 samples) compared to MLP and SVM models (10 samples), indicating that MLP and SVM models were more accurate for distribution modeling. Additionally, MLP showed a higher R‐squared value (0.87) compared to SVM (0.85), suggesting that MLP was the most accurate model for restoring degraded lands. Hence, we developed theFestuca ovinaDistribution Model (FODM) using the MLP model. Sensitivity analyses revealed that soil texture, soil depth, electrical conductivity (EC), pH, and vegetation density significantly influencedF. ovinadistribution, with respective sensitivity coefficients of 0.48, 0.47, 0.45, 0.41, and 0.41. Based on the finalized FODM, we designed an Environmental Decision Support System (EDSS) tool to assist rangeland managers in mappingF. ovinadistribution. By applying the EDSS tool, we demonstrated its practicality in using the FODM for effective decision‐making and land management. The EDSS tool serves as a valuable resource for rangeland managers, enabling them to make informed decisions regardingF. ovinarestoration and effectively use the predictive capabilities of the FODM in real‐world applications.
Convergence to equilibrium for linear parabolic systems coupled by matrix‐valued potentials
Authors: Dobrick Alexander , Glück Jochen 
Published: August 2023

AbstractWe consider systems of parabolic linear equations, subject to Neumann boundary conditions on bounded domains in , that are coupled by a matrix‐valued potentialV, and investigate under which conditions each solution to such a system converges to an equilibrium as . While this is clearly a fundamental question about systems of parabolic equations, it has been studied, up to now, only under certain positivity assumptions on the potentialV. Without positivity, Perron–Frobenius theory cannot be applied and the problem is seemingly wide open. In this paper, we address this problem for all potentials that are ‐dissipative for some . While the case can be treated by classical Hilbert space methods, the matter becomes more delicate for . We solve this problem by employing recent spectral theoretic results that are closely tied to the geometric structure of ‐spaces.
Consumer hate and boycott communications of socially irresponsible fashion brands: Applying complexity theory in psychology and marketing research
Authors: Woodside Arch G. , Akrout Houcine , Mrad Mona 
Published: August 2023

AbstractApplying complexity theory tenets, this cross‐cultural study proposes and empirically examines generalizable, asymmetric, case outcome models of consumers who respond extremely negatively to luxury and mass fashion brands that they judge to be acting socially irresponsibly—and separately, consumers who do not engage in such responses—among separate national samples of consumers in France, the UK, and USA. This study includes constructing a theory of discrete simple and complex antecedent algorithms (i.e., screens) of who perceives specific brands acting socially irresponsible, who exudes brand hate (BH), and which brand haters call versus do not call for brand boycotts. The study's findings support the following conclusions. Most consumers expressing BH advocate call for boycotting the brand (supported cross‐culturally in the study here). Among consumers who also view the brand to be very unlike themselves, most consumers recognizing a brand to be acting socially irresponsibly hate the brand. Separate tests of propositions for the models' predictive validities across three national samples of consumers support the models' generalizability. The study adds to workable approaches in psychology and marketing for complementing (or replacing) theories framed in terms of symmetric, variable, directional relationships and examined using null hypotheses significance tests.
Integrated variant allele frequency analysis pipeline and R package: easyVAF
Authors: Hu Junxiao , Alami Vida , Zhuang Yonghua , Alzofon Nathaniel , Jimeno Antonio , Gao Dexiang 
Published: August 2023

AbstractSomatic sequence variants are associated with cancer diagnosis, prognostic stratification, and treatment response. Variant allele frequency (VAF), the percentage of sequence reads with a specific DNA variant over the read depth at that locus, has been used as a metric to quantify mutation rates in these applications. VAF has the potential for feature detection by reflecting changes in tumor clonal composition across treatments or time points. Although there are several packages, including Genome Analysis Toolkit and VarScan, designed for variant calling and rare mutation identification, there is no readily available package for comparing VAFs among and between groups to identify loci of interest. To this end, we have developed the R package easyVAF, which includes parametric and nonparametric tests to compare VAFs among multiple groups. It is accompanied by an interactive R Shiny app. With easyVAF, the investigator has the option between three statistical tests to maximize power while maintaining an acceptable type I error rate. This paper presents our proposed pipeline for VAF analysis, from quality checking to group comparison. We evaluate our method in a wide range of simulated scenarios and show that choosing the appropriate test to limit the type I error rate is critical. For situations where data is sparse, we recommend comparing VAFs with the beta‐binomial likelihood ratio test over Fisher's exact test and Pearson'sχ2test.