bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electronic Decoupling and Single‐Molecule Charging of C60 on h‐BN/Rh(111)
Authors: Bommert Max , Günzburger Gino , Widmer Roland , Schuler Bruno , Gröning Oliver 
Published: June 2023

AbstractA detailed understanding of the interaction between molecules and 2D materials is crucial to implement molecular films into next‐generation 2D material‐organic hybrid devices effectively. In this regard, energy level alignment and charge transfer processes are particularly relevant. This work investigates the interplay between a hexagonal boron nitride (h‐BN) monolayer on an Rh(111) single crystal and self‐assembled C60 thin films. The influence of the corrugated topography and electrostatic surface potential originating from the h‐BN/Rh(111) Moiré superstructure on the electronic level alignment and charging characteristics of C60 is being studied. A combination of scanning tunneling microscopy/spectroscopy (STM/STS) and a theoretical tight‐binding approach is used to gain insight into the C60 bandstructure formation and electronic decoupling of specific C60. This decoupling results from adsorption site‐dependent variations of the molecular energy level alignment, which controls the strength of intermolecular hybridization. The decoupling of specific C60 enables the direct observation of single‐electron charging processes via STS and Kelvin probe force microscopy. The charging of the C60 is enabled by combining two gating mechanisms: the electrostatic surface potential of the monolayer h‐BN/Rh(111) Moiré and the electric field of the STM tip.
Speech‐in‐noise perception in autistic adolescents with and without early language delay
Authors: Ruiz Callejo Diego , Wouters Jan , Boets Bart 
Published: June 2023

AbstractSpeech‐in‐noise perception seems aberrant in individuals with autism spectrum disorder (ASD). Potential aggravating factors are the level of linguistic skills and impairments in auditory temporal processing. Here, we investigated autistic adolescents with and without language delay as compared to non‐autistic peers, and we assessed speech perception in steady‐state noise, temporally modulated noise, and concurrent speech. We found that autistic adolescents with intact language capabilities and not those with language delay performed worse than NT peers on words‐in‐stationary‐noise perception. For the perception of sentences in stationary noise, we did not observe significant group differences, although autistic adolescents with language delay tend to perform worse in comparison to their TD peers. We also found evidence for a robust deficit in speech‐in‐concurrent‐speech processing in ASD independent of language ability, as well as an association between early language delay in ASD and inadequate temporal speech processing. We propose that reduced voice stream segregation and inadequate social attentional orienting in ASD result in disproportional informational masking of the speech signal. These findings indicate a speech‐in‐speech processing deficit in autistic adolescents with broad implications for the quality of social communication.
Circular supply chain strategy in Industry 4.0: The canned food industry in Vietnam
Authors: Bui Tat‐Dat , Tseng Jiun‐Wei , Tran Thi Phuong Thuy , Ha Hien Minh , Lim Ming K. , Tseng Ming‐Lang 
Published: June 2023

AbstractThis study contributes to investigating the interrelationships among circular supply chain strategy (CSCY) attributes in Industry 4.0 (I4.0), and it provides practical implications for the canned food industry. Prior studies are inadequate in determining CSCY attributes in I4.0 with a thorough viewpoint under qualitative information. To fill this gap, this study aims to determine the crucial CSCY attributes in I4.0 together with their interrelationships. A hybrid method including text mining, cluster analysis, the fuzzy Delphi method (FDM), the fuzzy decision‐making trial and evaluation laboratory (FDEMATEL), and the analytical network process (ANP) is utilized. Five aspects and 25 criteria from the original set of attributes are validated. In the results, the causal group consists of circular production strategy and technological advancement, while the effect group includes waste circulation, a circular product‐service system (PSS), and circular integration. The critical criteria cover cleaner production, resource efficiency, the Internet of Things (IoT), robotics applications, and industrial symbiosis.
Cost‐effectiveness of adjuvant chemotherapy for high‐risk stage II and stage III colon cancer in South Africa
Authors: Tan Sarah Xinhui , Pumpalova Yoanna , Rogers Alexandra M. , Bhatt Kishan , Herbst Candice‐lee , Ruff Paul , Neugut Alfred I. , Hur Chin 
Published: June 2023

AbstractBackgroundColon cancer incidence is rising in low‐ and middle‐income countries (LMICs), where resource limitations and cost often dictate treatment decisions. In this study, we evaluate the cost‐effectiveness of adjuvant chemotherapy for high‐risk stage II and stage III colon cancer treatment in South Africa (ZA) and illustrate how such analyses can inform cancer treatment recommendations in a LMIC.MethodsWe created a decision‐analytic Markov model to compare lifetime costs and outcomes for patients with high‐risk stage II and stage III colon cancer treated with three adjuvant chemotherapy regimens in a public hospital in ZA: capecitabine and oxaliplatin (CAPOX) for 3 and 6 months, and capecitabine for 6 months, compared to no adjuvant treatment. The primary outcome was the incremental cost‐effectiveness ratio (ICER) in international dollars (I$) per disability‐adjusted life‐year (DALY) averted, at a willingness‐to‐pay (WTP) threshold equal to the 2021 ZA gross domestic product per capita (I$13,764/DALY averted).ResultsCAPOX for 3 months was cost‐effective for both patients with high‐risk stage II and patients with stage III colon cancer (ICER = I$250/DALY averted and I$1042/DALY averted, respectively), compared to no adjuvant chemotherapy. In subgroup analyses of patients by tumor stage and number of positive lymph nodes, for patients with high‐risk stage II colon cancer and T4 tumors, and patients with stage III colon cancer with T4 or N2 disease. CAPOX for 6 months was cost‐effective and the optimal strategy. The optimal strategy in other settings will vary by local WTP thresholds. Decision analytic tools can be used to identify cost‐effective cancer treatment strategies in resource‐constrained settings.ConclusionColon cancer incidence is increasing in low‐ and middle‐income countries, including South Africa, where resource constraints can impact treatment decisions. This cost‐effectiveness study evaluates three systemic adjuvant chemotherapy options, compared to surgery alone, for patients in South African public hospitals after surgical resection for high‐risk stage II and stage III colon cancer. Doublet adjuvant chemotherapy (capecitabine and oxaliplatin) for 3 months is the cost‐effective strategy and should be recommended in South Africa.
Association of blood pressure variability with target organ damage in older patients with essential hypertension
Authors: Jing Zhiquan , Wang Gang , Li Zeya , Wu Shanshan , Qiu Xiang , Huang Rongchong 
Published: June 2023

AbstractBackgroundAlthough multiple measures of blood pressure variability (BPV) have been proposed, whether they are better than mean blood pressure in predicting target organs is unclear. We aimed to determine the relationship between short term BPV and target organ injury.MethodsThis study was a retrospective study, and 635 inpatients in the Department of Cardiology from 2015 to 2020 were selected. We divided participants into four groups on the basis of the quartiles of BPV. One‐way analysis of variance was used to compare the differences between the groups, and linear regression was used to analyze the relationship between BPV and target organ damage.ResultsThe average age of 635 patients was 74.36 ± 6.50 years old. Among them, 354 of 627 patients had diminished renal function (56.5%), 221of 604 patients had associated left ventricular hypertrophy (36.6%), and 227 of 231 patients had carotid plaque formation (98.3%). The baseline data indicated significant differences in fasting glucose, total cholesterol, low‐density lipoprotein, creatinine, glomerular filtration rate, sex, calcium channel blocker use, and the rate of diminished renal function. Multiple linear regression analysis showed that BPV was negatively correlated with renal injury (creatinine: r = 0.306, p < 0.01; estimated glomerular filtration rate: r = 0.058, p < 0.01), and BPV is positively correlated with cardiac injury (r = 0.083, p < 0.01). Elevated BPV was not found to be associated with vascular injury.ConclusionRenal function decreases with increasing BPV and left ventricular mass increases with increasing BPV.
Enhanced Dissolution of Metal Oxides in Hydroxylated Solvents – Towards Application in Lithium‐Ion Battery Leaching
Authors: Bastos Henrique , Schaeffer Nicolas , Pringle Jennifer M. , Coutinho João A. P. , Pozo‐Gonzalo Cristina 
Published: June 2023

AbstractThe recovery of critical metals from spent lithium‐ion batteries (LIBs) is rapidly growing. Current methods are energy‐intensive and hazardous, while alternative solvent‐based strategies require more studies on their ‘green’ character, metal dissolution mechanism and industrial applicability. Herein, we bridged this gap by studying the effect of dilute HCl solutions in hydroxylated solvents to dissolve Co, Ni and Mn oxides. Ethylene glycol emerged consistently as the most effective solvent, dissolving up to four times more Co and Ni oxides than using aqueous acidic media, attributed to improved chloro‐complex formation and solvent effects. These effects had a significant contribution compared to acid type and concentration. The highest Co dissolution (0.27 M) was achieved in 0.5 M HCl in 25 % (v/v) glycerol in water, using less acid and a significant amount of water compared to other solvent systems, as well as mild temperatures (40 °C). This solvent was applied to dissolve battery cathode material, achieving 100 % dissolution of Co and Mn and 94 % dissolution of Ni, following what was concluded to be a mixed mechanism. These results offer a simple alternative to current leaching processes, reducing acid consumption, enhancing atomic efficiency, and paving the way for optimized industrial hydrometallurgical processes leaning to ‘greener’ strategies.
Utilization of superconducting magnetic energy storage and doubly fed induction generator for enhancing stability of interconnected power system
Authors: Waheed Kumar Abdul , din Mufti Mairaj Ud , Yaqoob Zargar Mubashar 
Published: June 2023

SummaryAs the share of wind power keeps on increasing, the interaction between synchronous and wind generators pose a challenging issue on power system stability. In order to investigate the impact of wind penetration on stability of power system, appropriate modeling of wind energy conversion systems (WECSs) is necessary. Moreover, it is needed to comprehensively study the impact of wind penetration on power system oscillations. This paper presents a didactic approach for integrating a doubly fed induction generator (DFIG)‐based wind farm from SimPower Systems library to a five‐area 68‐bus power system modeled in Simulink. Inter‐area oscillations with and without wind power penetration are investigated for their characteristics. Renewable energy sources are connected to the grid via power electronics converters at the cost of a reduction in inertia. The concept of virtual synchronous generator (VSG) produces virtual inertia by exchanging active power with the power system. The impact of superconducting magnetic energy storage (SMES) and DFIG on enhancing damping performance of inter‐area is investigated. The increase in damping ratios of inter‐area oscillatory modes verifies the enhancement in small signal stability by connecting SMES and DFIG to the power system. The usage of SMES operating in VSG mode to improve the dynamic stability with highly erratic wind profile is also investigated. The developed MATLAB/SIMULINK‐based DFIG model is simple to use and can be expanded to build efficient controllers. The fidelity of the DFIG model and VSG technology is verified in real time by Opal‐RT (OP4510).
Reproductive asynchrony within social groups of female eastern wild turkeys
Authors: Ulrey Erin E. , Chamberlain Michael J. , Collier Bret A. 
Published: June 2023

AbstractCoordination in timing of reproduction is driven by multiple ecological and sociobiological processes for a wide array of species. Eastern wild turkeys (Meleagris gallopavo silvestris) use a male dominance polygynous mating system, where males communicate with females via elaborate courtship displays and vocalizations at display sites. Most females prefer to mate with dominant males; therefore, asynchronous breeding and nesting may occur which can disproportionately influence individual fitness within breeding groups. For female wild turkeys, there are reproductive advantages associated with earlier nesting. As such, we evaluated reproductive asynchrony within and between groups of GPS‐tagged female eastern wild turkeys based on timing of nest initiation. We examined 30 social groups with an average of seven females per group (range 2–15) during 2014–2019 in west central Louisiana. We found that the estimated number of days between first nest initiation across females within groups varied between 3 and 7 days across years, although we expected 1–2 days to occur between successive nesting attempts of females within groups based on observations of captive wild turkeys in the extant literature. The number of days between successive nest attempts across females within groups was lower for successful than failed attempts, and nests with an average of 2.8 days between initiation of another nest were more likely to hatch. Our findings suggest that asynchronous reproduction may influence reproductive success in female wild turkeys.
Variations in soil microbial community structure and extracellular enzymatic activities along a forest–wetland ecotone in high‐latitude permafrost regions
Authors: Fu Lingyu , Xie Ruifeng , Ma Dalong , Zhang Man , Liu Lin 
Published: June 2023

AbstractPermafrost degradation by global warming is expected to alter the hydrological processes, which results in changes in vegetation species composition and gives rise to community succession. Ecotones are sensitive transition areas between ecosystem boundaries, attract particular interest due to their ecological importance and prompt responses to the environmental variables. However, the characteristics of soil microbial communities and extracellular enzymes along the forest–wetland ecotone in high‐latitude permafrost region remain poorly understood. In this study, we evaluated the variations of soil bacterial and fungal community structures and soil extracellular enzymatic activities of 0–10 cm and 10–20 cm soil layers in five different wetland types along environmental gradients, including Larix gmelinii swamp (LY), Betula platyphylla swamp (BH), Alnus sibirica var. hirsute swamp (MCY), thicket swamp (GC), and tussock swamp (CC). The relative abundances of some dominant bacterial (Actinobacteria and Verrucomicrobia) and fungal (Ascomycota and Basidiomycota) phyla differed significantly among different wetlands, while bacterial and fungal alpha diversity was not strongly affected by soil depth. PCoA results showed that vegetation type, rather than soil depth explained more variation of soil microbial community structure. β‐glucosidase and β‐N‐acetylglucosaminidase activities were significantly lower in GC and CC than in LY, BH, and MCY, while acid phosphatase activity was significantly higher in BH and GC than LY and CC. Altogether, the data suggest that soil moisture content (SMC) was the most important environmental factor contributing to the bacterial and fungal communities, while extracellular enzymatic activities were closely related to soil total organic carbon (TOC), nitrate nitrogen () and total phosphorus (TP).
Digitization of natural history collections: A guideline and nationwide capacity building workshop in Malaysia
Authors: Ong Song‐Quan , Mat Jalaluddin Nurzatil Sharleeza , Yong Kien Thai , Ong Su Ping , Lim Kooi Fong , Azhar Suhaila 
Published: June 2023

AbstractNatural history museum collections are the most important sources of information on the present and past biodiversity of our planet. Most of the information is primarily stored in analogue form, and digitization of the collections can provide further open access to the images and specimen data to address the many global challenges. However, many museums do not digitize their collections because of constraints on budgets, human resources, and technologies. To encourage the digitization process, we present a guideline that offers low‐cost and technical knowledge solutions yet balances the quality of the work and outcomes. The guideline describes three phases of digitization, namely preproduction, production, and postproduction. The preproduction phase includes human resource planning and selecting the highest priority collections for digitization. In the preproduction phase, a worksheet is provided for the digitizer to document the metadata, as well as a list of equipment needed to set up a digitizer station to image the specimens and associated labels. In the production phase, we place special emphasis on the light and color calibrations, as well as the guidelines for ISO/shutter speed/aperture to ensure a satisfactory quality of the digitized output. Once the specimen and labels have been imaged in the production phase, we demonstrate an end‐to‐end pipeline that uses optical character recognition (OCR) to transfer the physical text on the labels into a digital form and document it in a worksheet cell. A nationwide capacity workshop is then conducted to impart the guideline, and pre‐ and postcourse surveys were conducted to assess the confidence and skills acquired by the participants. This paper also discusses the challenges and future work that need to be taken forward for proper digital biodiversity data management.
Analyzing the impact of loan features on bank loan prediction using Random Forest algorithm
Authors: Dansana Debabrata , Patro S Gopal Krishna , Mishra Brojo Kishore , Prasad Vivek , Razak Abdul , Wodajo Anteneh Wogasso 
Published: June 2023

AbstractLoans are a crucial source of income for the financial sector, but they also come with significant financial risks. The interest on loans constitutes a significant portion of a bank's assets. The demand for loans is growing worldwide, and organizations are devising efficient business strategies to attract more clients. Every day, a large number of people apply for loans for various reasons, but not all of them can be approved due to the risk of loan default. It is not uncommon for people to default on their loans, causing significant losses to banks. The purpose of this article is to determine whether to grant loans to specific individuals or organizations. The Random Forest Regressor model has been utilized to measure performance and identify suitable customers for loan approval. The model suggests that banks should not only target affluent clients but also consider other customer characteristics that are critical in credit granting and predicting loan default. The research examines various loan approval parameters such as gender, educational qualification, employment type, business type, loan term, and marital status. Additionally, the study analyzes the number of approved, drawn, and rejected loans, which provides valuable insights into loan approval and prediction.
Early life corticosteroid overexposure: Epigenetic and fetal origins of adult diseases
Authors: Briceño‐Pérez Carlos , Briceño‐Sanabria Liliana , Briceño‐Sanabria Carlos , Reyna‐Villasmil Eduardo 
Published: June 2023

AbstractThe relationship between events occurring during intrauterine development and later‐life predisposition to long‐term disease, has been described. The fetus responds to excess intrauterine exposure to high levels of corticosteroids, modifying their physiological development and stopping their growth. Fetal exposure to elevated levels of either endogenous (alterations in fetal hypothalamic‐pituitary‐adrenal axis) or synthetic corticosteroids, is one model of early‐life adversity; to developing adult disease. At the molecular level, there are transcriptional changes in metabolic and growth pathways. Epigenetic mechanisms participate in transgenerational inheritance, not genomic. Exposures that change 11β‐hydroxysteroid dehydrogenase type 2 enzyme methylation status in the placenta can result in transcriptional repression of the gene, causing the fetus to be exposed to higher levels of cortisol. More precise diagnosis and management of antenatal corticosteroids for preterm birth, would potentially decrease the risk of long‐term adverse outcomes. More studies are needed to understand the potential roles of factors to alter fetal corticosteroid exposure. Long‐term infant follow‐up is required to determine whether methylation changes in placenta may represent useful biomarkers of later disease risk. This review, summarize recent advances in the programming of fetal effects of corticosteroid exposure, the role of corticosteroids in epigenetic gene regulation of placental 11β‐hydroxysteroid dehydrogenase type 2 enzyme expression and transgenerational effects.
Cooking mode and ripening stage influence physicochemical and nutritional properties of boiled plantain pulps
Authors: Vepowo Cédric Kendine , Ngoh Newilah Gérard , Mananga Marlyne‐Joséphine , Kamgo Dallonnes Fangueng , Ngouno Annie Takam , Gouado Inocent , Dufour Dominique , Bouniol Alexandre 
Published: June 2023

AbstractBACKGROUNDPlantains are of major importance in the diet of many African populations. Plantains undergo many processing techniques at different ripening stages. Boiling is the most common method of processing plantains in Cameroonian households. The present study was undertaken to evaluate the effect of cooking mode and ripening stage on the physicochemical and nutritional parameters of two Musa genotypes. Fruits from genotypes, Batard and CARBAP K74, at three ripening stages (unripe, semi‐ripe and ripe) were studied. Physicochemical and nutritional analyses were performed on raw and cooked pulps with and without peel at different cooking times (from 10 to 60 min).RESULTSSignificant variations (P < 0.05) were observed in the parameters assessed during cooking at each ripening stage according to cooking time. Plantain pulps boiled with peel exhibited high firmness (0.7–1.7 kgf), high soluble solids (7.4–22.4°Brix) and high dry matter content (29.8–38.3%) at all ripening stages. This cooking method yielded high protein (3.0–4.8%), lipid (0.2–1.8%), total starch (32–73%) and total carbohydrate (18–32%) contents. Boiling with or without peel had no significant effect (P > 0.05) on the pH of Batard pulps, nor the ash content of the pulps of both genotypes.CONCLUSIONIrrespective of the ripening stages used, during cooking by immersion in boiling water, cooking with peel best preserves the physicochemical and nutritional parameters of the analysed genotypes. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.