bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quasi‐Solid‐State Aluminum–Air Batteries with Ultra‐high Energy Density and Uniform Aluminum Stripping Behavior
Authors: Lv Chaonan , Li Yixin , Zhu Yuanxin , Zhang Yuxin , Kuang Jialin , Zhao Qing , Tang Yougen , Wang Haiyan 
Published: August 2023

AbstractAqueous aluminum–air batteries are attracting considerable attention with high theoretical capacity, low‐cost and high safety. However, lifespan and safety of the battery are still limited by the inevitable hydrogen evolution reaction on the metal aluminum anode and electrolyte leakage. Herein, for the first time, a clay‐based quasi‐solid‐state electrolyte is proposed to address such issues, which has excellent compatibility and a liquid‐like ionic conductivity. The clay with uniform pore channels facilitates aluminum ions uniform stripping and reduces the activity of free H2O molecules by reconstructing hydrogen bonds network, thus suppressing the self‐corrosion of aluminum anode. As a result, the fabricated aluminum–air battery achieves the highest energy density of 4.56 KWh kg−1 with liquid‐like operating voltage of 1.65 V and outstanding specific capacity of 2765 mAh g−1, superior to those reported aluminum–air batteries. The principle of constructing quasi‐solid‐state electrolyte using low‐cost clay may further promote the commercialization of aluminum–air batteries and provide a new insight into electrolyte design for aqueous energy storage system.
Impact of COVID‐19 pandemic on short‐term outcomes after low anterior resection in patients with rectal cancer: Analysis of data from the Japanese National Clinical Database
Authors: Seishima Ryo , Endo Hideki , Hibi Taizo , Takeuchi Masashi , Nakano Yutaka , Yamamoto Hiroyuki , Miyata Hiroaki , Maeda Hiromichi , Hanazaki Kazuhiro , Taketomi Akinobu , Kakeji Yoshihiro , Seto Yasuyuki , Ueno Hideki , Mori Masaki , Kitagawa Yuko 
Published: August 2023

AbstractAimThe Coronavirus Disease 2019 (COVID‐19) pandemic affected the allocation of various medical resources to several areas, including intensive care units (ICUs). However, currently, its impact on the short‐term postoperative outcomes of gastrointestinal cancer surgeries remains unclear. We aimed to evaluate the impact of the pandemic on the incidence of complications occurring after low anterior resection in patients with rectal cancer in Japan.MethodsData from the Japanese National Clinical Database between 2018 and 2021 were retrospectively examined. The primary outcome of the study was the postoperative morbidity and mortality rates before and after COVID‐19 pandemic. Moreover, the postoperative ICU admission rate was assessed. Morbidity and mortality rates were also assessed using a standardized morbidity/mortality ratio (SMR, the ratio of the actual number of incidences to the expected number of incidences calculated by the risk calculator).ResultsThis study included 74 181 patients, including 43 663 (58.9%) from COVID‐19 epidemic areas. The mean actual incidences of anastomotic leakage (AL) and pneumonia during the study period were 9.2% and 0.9%, respectively. The SMRs of these complications did not increase during the pandemic but those of AL declined gradually. The mean 30‐day mortality and operative mortality rates were 0.3% and 0.5%, respectively. Moreover, SMRs did not change significantly in the pandemic or regional epidemic status. The ICU admission rate temporarily decreased, especially in the epidemic areas.ConclusionAlthough the pandemic temporarily decreased the ICU admission rate, its impact on short‐term outcomes following low anterior resection in patients with rectal cancer was insignificant in Japan.
Artificial intelligence for dementia drug discovery and trials optimization
Authors: Doherty Thomas , Yao Zhi , Khleifat Ahmad A.l. , Tantiangco Hanz , Tamburin Stefano , Albertyn Chris , Thakur Lokendra , Llewellyn David J. , Oxtoby Neil P. , Lourida Ilianna ,   for the Deep Dementia Phenotyping (DEMON) Network, Ranson Janice M. , Duce James A. 
Published: August 2023

AbstractDrug discovery and clinical trial design for dementia have historically been challenging. In part these challenges have arisen from patient heterogeneity, length of disease course, and the tractability of a target for the brain. Applying big data analytics and machine learning tools for drug discovery and utilizing them to inform successful clinical trial design has the potential to accelerate progress. Opportunities arise at multiple stages in the therapy pipeline and the growing availability of large medical data sets opens possibilities for big data analyses to answer key questions in clinical and therapeutic challenges. However, before this goal is reached, several challenges need to be overcome and only a multi‐disciplinary approach can promote data‐driven decision‐making to its full potential. Herein we review the current state of machine learning applications to clinical trial design and drug discovery, while presenting opportunities and recommendations that can break down the barriers to implementation.
Research on torsional laminated extrusion for improving the permeability and mechanical properties ofHDPE/PA6composite for typeIVstorage tank liners
Authors: Wang Xiulei , Chen Xuedong , Yang Jianing , Xie Pengcheng , Yang Weimin 
Published: August 2023

AbstractPolymers are advantageous in increasing hydrogen storage density of tanks due to their lightweight. Moreover, a uniform aggregate structure can enhance their advantages. However, achieving such as structure solely through screw extrusion can be challenging in liner moldings. This study reported a micro‐nano torsional laminated extrusion equipment that can be used before the die to effectively improve the composite orientation and reduce intercrystalline defects through divides, laminated thinning, and biaxial stretching of the melt with a strong drag flow field. The resulting HDPE/PA6 achieved a reduced helium permeation coefficient by up to 20.1% with a more pronounced effect on the diffusion than that on the dissolution. The mechanical property tests demonstrated an improvement in strength by up to 24.5% and modulus by up to 49.1% with the expanded range of toughness fracture. However, PA6 and HDPE exhibited limitations in terms of the moldable size and storage ability owing to their melt strength and gas barrier properties, respectively. Based on the analysis of the melt strength thresholds of HDPE/PA6, the PA6 content in the composites should be <70 wt% for blow molding and <50 wt% for welding. This study provides a novel approach for forming large‐diameter and thin‐walled liner billets through extrusion and welding.
Synthesis and characterization of hydrogels from alginate and ora‐pro‐nóbis (Pereskia aculeata Miller) mucilage
Authors: de Morais Larissa Carolina , Ferreira Iasmin Aparecida Furtado , de Oliveira Meira Ana Cristina Freitas , Veríssimo Lizzy Ayra Alcântara , de Resende Jaime Vilela 
Published: August 2023

AbstractThis study aimed to synthesize and characterize hydrogels prepared with alginate (ALG) and ora‐pro‐nobis mucilage (MOPN) by ionic gelation. The hydrogels were produced from solutions containing 0.5, 0.75, 1.0, and 1.25% (w/v) sodium alginate, 0.25, 0.5, 0.75, 1.0 and 1.25% (w/v) MOPN and 1.5 and 3.0% (w/v) CaCl2. The hydrogels were characterized in terms of mechanical strength, degree of swelling, morphology, chemical groups by Fourier transform infrared spectroscopy (FTIR) and x‐ray diffraction (XRD); and their thermal properties were assessed by differential scanning calorimetry (DSC) and thermogravimetric and differential thermal analysis (TG/DTA). The results indicated that MOPN acted with ALG in chain crosslinking, confirming its ability to interact with other polymers to form gels. The control hydrogel, composed of only ALG (1.5%), showed a more crosslinked and less amorphous structure with greater thermal resistance, while the hydrogel composed of ALG (1.25%) and MOPN (0.25%) showed a more amorphous, porous structure with lumps. However, these treatments were statistically equal in terms of mechanical strength and degree of swelling, indicating that ALG and MOPN hydrogels are an economically viable alternative to ALG‐only hydrogels, where 0.25% (w/v) of the ALG can be replaced by MOPN without significant changes in its mechanical and swelling properties.
Electrospun nylon‐66 nanofiber coated filter media for engine air filtration applications
Authors: Johnson Jipson , Muzwar Mohammed , Ramakrishnan Surya , Chetty Raghuram , Karaiyan Arul Prakash 
Published: August 2023

AbstractAir filtration plays a vital role in the performance and operations of engines, especially for heavy‐duty combat vehicles operating in the desert environment. Conventional cellulose media comprises micro‐fibers exhibiting low filtration efficiency for particles within the range of 0.1 to 0.5 μm (most penetrating particle size, MPPS). Nanofiber coating on cellulose media can increase the filtration efficiency, however, with the penalty of an increase in pressure drop. The features of nylon‐66 nanofibers, such as high mechanical strength, greater thermal stability, and high surface‐to‐volume ratio, will be beneficial for developing nano‐coated filter media. In this study, electrospun nylon‐66 nanofibers were coated over two cellulose‐based filter media and tested on an air filtration test rig that employs a suction‐type blower replicating the realistic condition of a heavy‐duty engine intake. The test rig was fabricated to evaluate the performance of the nano‐coated filter media in terms of pressure drop, filtration efficiency, and quality factor (Q‐factor). The experimental results demonstrated that the nylon‐66 nano‐coated media have higher Q‐factor (in the MPPS range) than the cellulose media due to the increased filtration efficiency compared to the rise in pressure drop. Therefore, such electrospun nylon‐66 nanofiber‐coated air filters can be an alternative to conventional cellulose media.
Porpoises, by‐catch and the ‘pinger’ conundrum
Authors: Pinn Eunice H. 
Published: August 2023

AbstractThe UK is committed to reducing or eliminating the by‐catch of protected species in fisheries. Of key concern is the by‐catch of harbour porpoise in static nets. Fishers do not want to catch harbour porpoise, and the only proven effective mitigation measure currently available is an acoustic device known as a ‘pinger’.Legislative requirements for the mandatory use of pingers on larger vessels (i.e. those greater than 12 m in length) has resulted in a by‐catch reduction of approximately 17% for the UK fleet annually. In most areas where the risk of by‐catch is high (i.e. the southern North Sea, English Channel, and Bristol Channel), smaller inshore vessels (i.e. less than 12 m in length) account for over 90% of the fishing effort (determined as days at sea).Small inshore vessels are not permitted to use pingers without a licence. The information required for a licence, however, makes it extremely difficult for fishers to obtain one. Without access to effective mitigation in most of the static net fleet, it seems unlikely that the UK will meet its ambition to minimize or eliminate harbour porpoise by‐catch.Finding workable and effective solutions for smaller vessels is essential. As harbour porpoise by‐catch is such a rare event, it is unlikely that the mandatory use of pingers on all static net vessels will be cost‐effective. Nor is such widespread deployment considered desirable because of the potential consequences on the conservation status of harbour porpoise. A potential solution within the current UK legislative framework is proposed that would facilitate the use of pingers in small‐scale localized fisheries with a high risk of by‐catch until a suitable mitigation alternative to pingers becomes available.
Re‐assessing regional chronologies for island southeast Asian voyaging to Aboriginal Australia
Authors: Urwin Chris , Bradley John J. , McNiven Ian J. , Russell Lynette , Yulianti Farid Lily 
Published: August 2023

ABSTRACTAccording to written histories, trepang fishers from Island Southeast Asia (“Makassans”) frequented coastal northern Australia from c.1750 to 1907 CE. Yolŋu oral traditions and old Austronesian borrow words in coastal Aboriginal languages suggest a long and complex history of foreign voyaging to northern Australia. Yet archaeological radiocarbon chronologies for the Southeast Asian trepang industry and earlier voyaging encounters are few and the dates have never been comprehensively reviewed. Only one Arnhem Land trepang fishery site has been dated extensively, and others have produced unusually old dates of c.1200–1500 CE. The Groote Eylandt rockshelter of Dadirrigka yielded an enigmatic sherd of friable earthenware above a radiocarbon date of c.1100 CE. Here we have compiled, reviewed and recalibrated all 49 radiocarbon dates directly associated with Southeast Asian contact sites, stratigraphy and rock art in northern Australia. We discuss the dates and their archaeological contexts region by region to assess their reliability. We also report for the first time Yanyuwa (southwest Gulf of Carpentaria) oral traditions which shed light on their past kinship and exchange relationships with Makassan visitors. The radiocarbon dates provide tentative support for four phases of interaction in northwest Arnhem Land and Groote Eylandt, including pre‐Makassan encounters and the organised trepang industry of the eighteenth and nineteenth centuries. There is a paucity of archaeological excavations and radiocarbon data from northeast Arnhem Land, the Kimberley and the southwest Gulf of Carpentaria, where historical writings, linguistics and oral traditions are still the most reliable indicators of the timing and nature of cross‐cultural interaction.
Incidentally elicited multiple, discrete emotions have differential effects on risky behavior: The action priming perspective
Authors: Matsumoto David , Wilson Matthew 
Published: August 2023

AbstractWe present a novel theoretical framework called the Action Priming Perspective to predict effects of discrete emotions on judgment and decision‐making and report results from two studies examining five discrete emotions (anger, disgust, fear, happiness, and sadness) and neutral on a behavioral task of risky decision‐making. We tested two hypotheses concerning single and combinatorial effects of the emotions based on previous theoretical and empirical work delineating the action priming functions of discrete emotions. As predicted, a fear–sadness combination, elicited separately but combined for analyses, produced the highest risk‐taking behavior, higher than an anger–disgust combination (also elicited separately but combined for analyses). Sadness also produced more risky behavior than did disgust, as predicted. These effects, however, did not occur when the task was less uncertain. These findings were discussed vis‐à‐vis understanding implications of specific, discrete emotions on risky, ambiguous judgment and decision‐making.
Considerations on brain age predictions from repeatedly sampled data across time
Authors: Korbmacher Max , Wang Meng‐Yun , Eikeland Rune , Buchert Ralph , Andreassen Ole A. , Espeseth Thomas , Leonardsen Esten , Westlye Lars T. , Maximov Ivan I. , Specht Karsten 
Published: August 2023

AbstractIntroductionBrain age, the estimation of a person's age from magnetic resonance imaging (MRI) parameters, has been used as a general indicator of health. The marker requires however further validation for application in clinical contexts. Here, we show how brain age predictions perform for the same individual at various time points and validate our findings with age‐matched healthy controls.MethodsWe used densely sampled T1‐weighted MRI data from four individuals (from two densely sampled datasets) to observe how brain age corresponds to age and is influenced by acquisition and quality parameters. For validation, we used two cross‐sectional datasets. Brain age was predicted by a pretrained deep learning model.ResultsWe found small within‐subject correlations between age and brain age. We also found evidence for the influence of field strength on brain age which replicated in the cross‐sectional validation data and inconclusive effects of scan quality.ConclusionThe absence of maturation effects for the age range in the presented sample, brain age model bias (including training age distribution and field strength), and model error are potential reasons for small relationships between age and brain age in densely sampled longitudinal data. Clinical applications of brain age models should consider of the possibility of apparent biases caused by variation in the data acquisition process.
Textural features of the frontal white matter could be used to discriminate amnestic mild cognitive impairment patients from the normal population
Authors: Zheng Wei , Mu Ronghua , Liu Fuzhen , Qin Xiaoyan , Li Xin , Yang Peng , Li Xin , Liang Yahui , Zhu Xiqi 
Published: August 2023

AbstractObjectiveWe aim to develop a radiomics model based on 3‐dimensional (3D)‐T1WI images to discriminate amnestic mild cognitive impairment (aMCI) patients from the normal population by measuring changes in frontal white matter.MethodsIn this study, 126 patients with aMCI and 174 normal controls (NC) were recruited from the local community. All subjects underwent routine magnetic resonance imaging examination (including 3D‐T1WI ). Participants were randomly divided into a training set (n = 242, aMCI:102, NC:140) and a testing set (n = 58, aMCI:24, NC:34). Texture features of the frontal lobe were extracted from 3D‐T1WI images. The least absolute shrinkage and selection operator (LASSO) was used to reduce feature dimensions and develop a radiomics signature model. Diagnostic performance was assessed in the training and testing sets using the receiver operating characteristic (ROC) curve analysis. The area under the ROC curve (AUC), sensitivity, and specificity were also calculated. The efficacy of the radiomics model in discriminating aMCI patients from the normal population was assessed by decision curve analysis (DCA).ResultsA total of 108 frontal lobe texture features were extracted from 3D‐T1WI images. LASSO selected 58 radiomic features for the final model, including log‐sigma (n = 18), original (n = 8), and wavelet (n = 32) features. The performance of radiomic features extracted from 3D T1 imaging for distinguishing aMCI patients from controls was: in the training set, AUC was 1.00, and the accuracy, sensitivity, and specificity were 100%, 98%, and 100%, respectively. In the testing set, AUC was 0.82 (95% CI:0.69–0.95), and the accuracy, sensitivity, and specificity were 69%, 92%, and 55%, respectively. The DCA demonstrated that the model had favorable clinical predictive value.ConclusionsTextural features of white matter in the frontal lobe showed potential for distinguishing aMCI from the normal population, which could be a surrogate protocol to aid aMCI screening in clinical setting.
Psychometric properties of the Big Three Perfectionism Scale‐Short Form (BTPS‐SF) among Iranian University students
Authors: Neshat Zahra , Bijari Azam Farah , Dehshiri Gholamreza 
Published: August 2023

AbstractIntroductionPerfectionism is a common personality trait, particularly among university students. As awareness of this trait increases, research seeks to update tools for measuring it. The psychometric properties of the three‐dimensional perfectionism scale‐short form (BTPS‐SF) have not been studied in the Iranian population. Therefore, this study aims to investigate the psychometric properties of this 16‐item scale among Iranian university students.MethodsThe statistical population for this research included all students in Tehran. From this population, 528 students were selected, and data analysis was performed using SPSS 26 and AMOS 24 software.ResultsThe findings showed that the BTPS‐SF has acceptable validity and reliability. Furthermore, a positive and significant correlation was found between perfectionism and interpersonal sensitivity, whereas a negative and significant correlation was found between perfectionism and self‐compassion.ConclusionGiven the desirable psychometric properties of the Persian version of the BTPS‐SF, its use can be recommended to psychology experts in research and clinical evaluation situations.
Green is the new black: How research and development and green innovation provide businesses a competitive edge
Authors: Bataineh Mohammad Jamal , Sánchez‐Sellero Pedro , Ayad Fayssal 
Published: August 2023

AbstractAs part of the burgeoning research on green innovation (GI) and its influence on competitive advantage (CA), this paper examines the moderating effect of research and development (R&D) on this nexus. Our framework identifies five critical capabilities that contribute to CA, namely, firm image, labor costs, product differentiation, product quality, and market share. Using a novel bias‐correction methodology, we examined the Spanish Technological Innovation Panel (PITEC in Spanish) database from 2003 to 2016 to determine whether GI practices foster CA. Treatment‐effects analyses, including propensity score matching and fuzzy difference‐in‐differences (DiD), demonstrated that R&D expenditures have a positive moderating effect on CA when controlling for the covariates GI practices, firm age, and firm size. This research advances our understanding of the interplay between GI practices, R&D investments, and CA and, as such, has implications for decision makers aiming to create sustainable CA through GI. Our findings are also highly relevant for firms seeking to remain competitive in today's evolving business climate.
The digitalization of sustainability reporting processes: A conceptual framework
Authors: Pizzi Simone , Mastroleo Giovanni , Venturelli Andrea , Caputo Fabio 
Published: August 2023

AbstractBuilding on the contingency theory, the paper aims to shed light on the contribution provided by technological innovation on sustainability reporting quality. A fuzzy expert system (FES) was developed to evaluate the cumulative effects related to the adoption of digital devices in sustainability reporting practices. The analysis underlined the enabling role covered by Sustainable Enterprise Resources Planning (S‐ERP) systems on sustainability reporting processes. In detail, we found that the disclosure of environmental information using technological platforms can lead analysts to a more accurate evaluation.