bluuebunny/crossref_metadata_2025_split huggingface dataset:
Laissez les morts ensevelir les morts
Authors: Allioux Yves-Marie 
Published: June 2019

Dans son article « Changements post mortem, contrôle étatique et transmission de l’impossible en psychanalyse », le professeur Shingû cite un célèbre poème zen : « Vivant devenir mort et une fois devenu mort librement accompli tout acte sera bon ». N’est-ce pas justement la position d’Antigone telle que Lacan l’analyse dans un de ses séminaires ? À l’opposé, le Christ dit à ses disciples : « Laissez les morts ensevelir leurs morts ! » Cette parole, où l’on voit d’habitude une néantisation de la mort et du deuil à la lumière de l’espérance d’une vie éternelle, semble condamner non seulement Antigone, mais aussi la plupart des sagesses antiques ou non chrétiennes. Cependant, cette injonction ne pourrait-elle pas nous encourager à admettre et accueillir au plus profond de nous, plutôt que dans d’étatiques cimetières, la présence encombrante de nos morts ?
Anaphors and text structure in Romance and Germanic languages: Typologies in comparison
Authors: Korzen Iørn 
Published: June 2019

L’article examine les différences au niveau textuel entre langues exocentriques et langues endocentriques. Il prend son point de départ dans les relations anaphoriques en italien et en danois, et dans la distribution des anaphores coréférentielles, associatives et résomptives. La valeur informationnelle et textuelle des anaphores semble correspondre à la distribution lexicale du « poids informationnel » dans les noms et les verbes exocentriques et endocentriques ; la distribution des anaphores révèle, de plus, des différences typologiques dans les structures textuelles. L’article montre que plusieurs de ces particularités structurales s’expliquent par des différences entre les « schémas cognitifs » dues à des divergences entre les systèmes lexicaux. Des variations socio-culturelles entre les deux communautés linguistiques contribuent également à la distinction qu’on peut établir entre les structures exocentriques et endocentriques.
Modes monolingues dans des écologies multilingues : les études phonologiques des français africains
Authors: Nimbona Gélase , Bordal Steien Guri 
Published: June 2019

Dans cet article, nous nous intéressons aux études phonologiques des français africains effectuées dans le cadre du projet Phonologie du français contemporain ( pfc ). L’objectif de l’article est double : d’une part, nous discutons de l’application en terrains africains du protocole d’enquête du projet et, d’autre part, nous proposons une synthèse de ces études et quelques réflexions sur leur intérêt scientifique notamment pour le domaine des contacts de langues. Nous avançons l’idée que ces données doivent avant tout être considérées comme une source d’information sur la façon dont les locuteurs multilingues s’expriment dans un mode monolingue et qu’elles constituent, pour cette raison, un intéressant point de départ pour une discussion sur les phénomènes de multilinguisme individuel et sociétal.
Quand les Toubabs parlent avec un accent ivoirien : une pratique stylisée de l’entre-soi
Authors: Van den Avenne Cécile 
Published: June 2019

Cet article analyse des usages stylisés de « français ivoirien » dans des performances orales de Français blancs, anciens expatriés en Côte d’Ivoire. Ces usages permettent d’envisager la variété « français ivoirien », comme une ressource stylistique d’un répertoire verbal, dont il s’agit de saisir, le plus finement possible, les effets dans des usages situés, selon une démarche s’inscrivant dans le cadre d’une sociolinguistique interactionnelle.
Mettre en scène l’exclusion de l’histoire. Les femmes à l’université et le concours Miss Quartier latin (1950-1963)
Authors: Poitras Daniel 
Published: June 2019

De 1950 à 1963, un concours annuel particulier, le « Miss Quartier Latin », a eu lieu à l’Université de Montréal. L’objectif était d’élire l’étudiante idéale, celle qui allait représenter tout le campus et surtout, y répandre la bonne humeur. Je fais l’hypothèse que le concours, beaucoup plus qu’une activité frivole, mettait en fait en scène, à coup de représentations matérielles et de discours normatifs, l’exclusion des femmes de l’histoire. À l’Université, les étudiantes étaient maintenues dans un régime temporel différent, caractérisé par l’éternel féminin, ce qui autorisait leurs compagnons à les disqualifier comme agents historiques. Les étudiantes utilisèrent le concours pour répliquer, notamment en subvertissant les discours tenus sur elles. Elles ont ainsi réussi à créer des brèches dans les discours normatifs sur leur nature et à mettre en valeur les processus (ceux du développement personnel, ceux de l’histoire) qui ébranlaient le plafond de verre universitaire et ouvraient leur horizon d’attente. Mais ces efforts, s’ils ont éveillé des consciences, ébréché certains postulats sexistes et renversé momentanément les rôles, ont très peu retenus l’attention des historien.ne.s du mouvement étudiant, qui se sont pour la plupart concentré.e.s sur les leaders masculins et sur l’éthos volontariste et émancipateur qu’ils promouvaient. Ceci nous invite à réfléchir sur ces enchaînements qui ont fait des exclusions d’hier des angles morts aujourd’hui.
Prevalence and Predictors of Lower Extremity Peripheral Artery Disease among Adults with Type 2 Diabetes Mellitus Attending a Tertiary Hospital in Owerri, Nigeria
Authors: Obi Patrick Chinedu , Anyanwu Anthony Chinedum , Nwatu Chidimma Brenda , Ekwueme Chinonso , Mbaike Adaure , Nwako Francis Okechukwu , Ebirim Dan Victor , Okafor Christian , Oputa Reginald Nnamdi 
Published: June 2019

Background: Lower extremity peripheral artery disease [LEAD] is common among patients with Diabetes mellitus (DM) and is under-diagnosed and under-treated. Early diagnosis and treatment will prevent associated cardiovascular events, minimize long term disability and improve quality of life. There is paucity of data on LEAD in Owerri and Southeastern Nigeria in general.
Study Objectives: To determine the prevalence and predictors of LEAD among adults with type 2 diabetes mellitus (T2DM).
Study Design: Cross-sectional analytical.
Study Site: Endocrinology Clinic, Federal Medical Centre, Owerri, Nigeria.
Methodology: Two hundred and seventy (270) T2DM patients and 135 non-diabetic controls were recruited consecutively between January and June, 2016. Questionnaires were used to collect relevant information, followed by focused physical examination and anthropometry. A portable Ankle Brachial Index (ABI) kit was used for measurement of ABI and participants with values < 0.9 were diagnosed as having LEAD. For participants with ABI ≥ 1.3, a toe pressure kit was used to measure their toe systolic pressure and those with toe brachial index (TBI) ≤ 0.7 were diagnosed as having LEAD. Fasting blood samples were also collected for assessment of glycated haemoglobin (HbA1c), fasting plasma glucose (FPG) and lipid profile. Data analysis was performed with SPSS version 22 and p-value < 0.05 was considered significant.
Results: The mean ages of the T2DM and control participants were 59.8 ± 10.7 and 59.6 ± 12.3 years respectively (P = 0.89) while their mean ABIs were 0.97 ± 0.18 and 0.99 ± 0.16 respectively (P = 0.26). The prevalence of LEAD was 31.1% and 27.4% among T2DM and control participants respectively (P = 0.44) while among the T2DM participants that had LEAD, 57 (67.8%), 26 (31.0%) and 1 (1.2%) had mild, moderate and severe LEAD respectively. The only predictor of LEAD among T2DM participants was absent/reduced dorsalis pedis artery pulsation (AOR = 3.57, CI = 1.13 – 11.29, P = 0.03).
Conclusions and Recommendations: There is a high prevalence of LEAD among adults with T2DM but this is not significantly higher than the prevalence among non-diabetic individuals. Regular screening of T2DM patients for LEAD should be encouraged. There is also need for regular palpation of dorsalis pedis artery among adults with T2DM to identify those with absent or reduced pulsation which may be an indication of the presence of LEAD.
Estimated Reduction in Health Care Spending Associated With Weight Loss in Adults
Authors: Thorpe Kenneth E. , Joski Peter J. 
Published: December 2024

ImportanceRecent data from federal surveys show that more than 70% of adults have either overweight or obesity. Overweight and obesity are associated with several expensive chronic conditions, such as type 2 diabetes, heart disease, hypertension, and hyperlipidemia. The prevalence of chronic disease is a key driver of rising health care spending among employers and the Medicare program.ObjectiveTo estimate health care spending among adults with overweight or obesity and have employer-sponsored insurance or Medicare and examine the association of higher and lower body mass index (BMI).Design, Setting, and ParticipantsThis cross-sectional study included privately insured adults and adult Medicare beneficiaries with a BMI of 25 and higher. Data from the Medical Expenditure Panel Survey–Household Component were used to tabulate total annual health care spending. Data were analyzed from April 1 to June 20, 2024.Main Outcomes and MeasuresThe primary intended measures were total annual health care spending, controlling for patient demographics, income, education, and BMI. The baseline health care spending as a percentage reduction in BMI. An instrumental variable regression model with estimated total spending at various levels of BMI was used.ResultsThis study included 3774 adults who were insured with Medicare (mean [SD] age, 63.1 [11.1] years; mean [SD] percentage female, 50.4% [49.7%]; mean [SD] percentage non-Hispanic Black adults, 17.4% [37.7%]; mean [SD] percentage non-Hispanic White adults, 61.3% [48.4%]). The study also included 13 435 adults who had employer-sponsored insurance (mean [SD] age, 46.3 [6.9] years; mean [SD] percentage female, 47.6% [48.9%]; mean [SD] percentage non-Hispanic Black adults, 11.1% [30.7%]; mean [SD] percentage non-Hispanic White adults, 73.1% [43.4%]). Overall, adults with employer-sponsored insurance with a weight loss of 5% were estimated to spend a mean of $670 (95% CI, $654-$686) less on health care (8% less), and those with a weight loss of 25% spent an estimated mean of $2849 (95% CI, $2783-$2916) less on health care (34% less). Among adults with Medicare who had 1 or more comorbid conditions, a 5% weight loss was estimated to reduce spending by $1262 (95% CI, $1217-$1306) (7% less) and a 25% weight loss was estimated to reduce health care spending by a mean of $5442 (95% CI, $5254-$5629) (31% less).Conclusions and RelevanceIn this cross-sectional study, projected annual savings from weight loss among US adults with obesity were substantial for both Medicare and employer-based insurance.
Construct a Quasi‐High‐Entropy Interphase for Advanced Low‐Temperature Aqueous Zinc‐Ion Battery
Authors: Li Feifan , Luo Wendi , Fu Hongwei , Zhou Wenjin , Gao Caitian , Liu Yanfang , Xia Hang , Shi Zude , Wang Hong , Zhou Jiang , Lu Bingan 
Published: December 2024

AbstractThe advancement of aqueous zinc‐ion batteries (AZIBs) faces significant obstacles due to the typically loose and unstable solid electrolyte interphase (SEI), which fosters dendrite formation and undermines cycling performance, especially in cold environments. Here, a quasi‐high‐entropy solid electrolyte interphase (QHE‐SEI) formulated is introduced with diverse and functional inorganic compounds, achieved through the incorporation of dual salts and a blend of solvents. Shielded by the QHE‐SEI, AZIBs exhibit uniform zinc deposition and attain remarkable cycling stability, enduring for 1300 h in Zn||Zn symmetric cells under conditions of 3 mA cm−2 and 3 mAh cm−2 at room temperature. Furthermore, the full cell maintains over 4300 cycles at −20 °C with nearly full capacity retention. Notably, the pouch cell maintains a high capacity of ≈25 mAh across 50 cycles, even at −20 °C. This study offers a novel approach to designing a stable SEI and elevates the performance of AZIBs.
Highly Strong and Tough Transparent Aramid Nanofiber Aerogel Films for Passive Heating Energy‐Efficient Windows
Authors: Wu Bing , Hu Peiying , Chen Yanan , Liu Ling , Hu Xueyan , Ge Sijia , Wang Jin 
Published: December 2024

AbstractAerogel energy‐efficient glass can effectively reduce building energy consumption, but the low light transmission and weak mechanical properties greatly limit the application of aerogel in energy‐efficient windows. Herein, a modified aramid nanofiber aerogel with outstanding mechanical strength (1.80 MPa, pull over 30000 times its weight), transparency (94.38% in the infrared region), and resistance to extreme environments (thermal insulation, frost resistance, flame retardancy, and self‐extinguishing) is designed and synthesized using nanowire domain space structure strategy. The aerogel used for energy‐efficient windows to reduce energy consumption in buildings is demonstrated. When the aerogel energy‐efficient windows are applied in winter, the average temperature of the energy‐efficient windows during the period from 10:00 a.m. to 4:00 p.m. is 4.01 and 7.01 °C higher than the ordinary glass house and the outdoor temperature, respectively. Carbon reduction calculations show that even in the coldest provinces of China, poly(terephthaloyl chloride‐co‐phenylenediamine‐co‐2‐(4‐Aminophenyl)‐1H‐benzimidazol‐5‐amine) (PTPA) aerogel for passive heating can reduce CO2 emissions by 94.14 Kg m−2 per year. This study provides a new strategy for synthesizing transparent aramid aerogels and a new way to develop passive heating and warming energy‐efficient windows for the next generation of energy‐efficient and environmentally friendly buildings.
P‐WEV: PSO Based Weighted Ensemble Technique for Agricultural Food Price Volatility Modeling
Authors: Singh Ankit Kumar , Yeasin Md , Paul Ranjit Kumar , Sarkar Anita , Paul A. K. 
Published: December 2024

ABSTRACTPrice volatility in agricultural commodities adds uncertainty for farmers, traders, and other stakeholders in the agricultural supply chain. Sudden price changes can disrupt income predictions, making it difficult to plan and access financing. This affects not only the farming community but also rural economies and livelihood of people involved in agriculture. The present study focused on important aspect of agricultural economic stability, that is, modeling and prediction of food price volatility. Volatility models, namely, the Generalized autoregressive conditional heteroscedastic (GARCH) model, Glosten, Jagannatan, Runkle‐GARCH (GJR‐GARCH) model, exponentially weighted moving average (EWMA) model and multiplicative error model (MEM), have been explored. In recent time, as the data becomes more complex and varied, it is difficult to fully understand price fluctuations with just one model. To tackle this, a novel approach called the Particle swarm optimization‐based weighted ensemble volatility model (P‐WEV) has been developed by combining predictions from four different models. To investigate the supremacy of the proposed model, data from 19 agricultural commodities, including cereals, pulses, oilseeds, vegetables, and spices, from various markets of India have been used. Interestingly, it has been found that the proposed model outperformed the other benchmark models. Moreover, an R package “PWEV” has also been developed for the implementation of the proposed model.
Latent Solvent‐Induced Inorganic‐Rich Interfacial Chemistry to Achieve Stable Potassium‐Ion Batteries in Low‐Concentration Electrolyte
Authors: Yang Qian , Zhou Xunzhu , Huang Tingting , Chen Zhuo , Zhang Yu , Shi Shuo , Zhang Wen , Li Lin , Wang Jiazhao , Dou Shixue , Lei Kaixiang , Zheng Shijian 
Published: December 2024

AbstractLow‐concentration electrolytes (LCEs) have attracted great attention due to their cost effectiveness and low viscosity, but suffer undesired organic‐rich interfacial chemistry and poor oxidative stability. Herein, a unique latent solvent, 1,2‐dibutoxyethane (DBE), is proposed to manipulate the anion‐reinforced solvation sheath and construct a robust inorganic‐rich interface in a 0.5 M electrolyte. This unique solvation structure reduces the desolvation energy, facilitating rapid interfacial kinetics and K+ intercalation in graphite. Additionally, enhanced anion‐cation interactions promote the formation of a thin and robust interfacial layer with excellent cycling performance of potassium‐ion batteries (PIBs). Graphite||perylene‐3,4,9,10‐tetracarboxylic dianhydride full cell exhibits a good capacity retention of 80.3 % after 300 cycles, and delivers a high discharge capacity of 131.3 mAh g−1 even at 500 mA g−1. This study demonstrates the feasibility of latent solvent‐optimized electrolyte engineering, providing a pathway of superior electrochemical energy storage in PIBs.
Interesterification of fat blends containing high oleic oils: Physical properties and dialkyl‐ketones formation assessment
Authors: Karra Sirine , Vionne Alistaire , Mascrez Steven , Purcaro Giorgia , Gibon Véronique , Danthine Sabine 
Published: December 2024

AbstractIn view of the nutritional disadvantages of partial hydrogenation (production of unhealthy trans fats) interesterification (IE) has emerged to produce suitable fats for trans‐free formulations that have improved physicochemical properties. In this context, both chemical (CIE) and enzymatic (EIE) interesterification techniques can be used. However, it has been found that CIE technology may produce process‐related by‐products known as dialkyl‐ketones (DAK). The current study aims at investigating the formation of DAK during IE. Therefore, five edible oils and fats were selected based on their potential use in IE: Elaeis Guineensis palm stearin (POSt), high oleic palm stearin (HOPSt), palm kernel stearin (PKSt), high oleic sunflower oil (HOSO) and high oleic palm oil (HOPO). The investigated blends were divided into HOPO‐based blends (POSt:HOPO 50:50, PKSt:HOPO 50:50, HOPSt:HOPO 50:50 and 30:70 wt:wt%) and HOSO‐based blends (POSt:HOSO 30:70, 50:50 and 70:30 wt:wt%). They were all subjected to both CIE (using sodium methoxide) and EIE (using TLIM lipase as catalyst); analyses of physical properties and determination of DAK content were performed before and after IE. This study demonstrates that DAK were not formed during the EIE process regardless of the investigated matrix, whereas they were produced during CIE, and that they require sufficient rearrangement of triglycerides (TAG) to be formed. It has also been shown that unsaturated fatty acids are more prone to form DAK regardless of the fat matrix. However, there is no linear relationship between the amount of DAK and the amount of unsaturated fat in the matrix.
Can supply chain digitalization open the way to sustainable development? Evidence from corporate ESG performance
Authors: Tian Lin , Tian Weilun , Guo Mengqi 
Published: December 2024

AbstractIn the digital economy era, the supply chain digitalization has become a crucial factor driving sustainable development. Based on the Chinese A‐share listed companies from 2011 to 2021, we use supply chain innovation and application pilots as a quasi‐natural experiment to empirically examine the impact of supply chain digitalization on corporate environmental, social, and governance (ESG) performance via a double machine learning (DML) model. The results indicate that supply chain digitalization significantly enhances corporate ESG performance, this conclusion remains valid after various robustness tests. Mechanism analysis shows that supply chain digitalization improves corporate ESG performance by enhancing internal operational efficiency, increasing interfirm trade credit, and enhancing external supervision. Finally, the promotion effect of supply chain digitalization on ESG performance is mainly present in corporates with stronger cooperative culture, stronger innovation capabilities, party organization, and those operating in heavily polluting industries.
Assessing the Association Between Animal Color and Behavior: A Meta‐Analysis of Experimental Studies
Authors: Ruckman Sarah N. , Humphrey Eve A. , Muzzey Lily , Prantalou Ioanna , Pleasants Madison , Hughes Kimberly A. 
Published: December 2024

ABSTRACTColor varies in pattern and degree across the tree of life. In animals, genetic variation in color is hypothesized to have pleiotropic effects on a variety of behaviors due to shared dependence on underlying biochemical pathways. Such pleiotropy can constrain the independent evolution of color and behavior. Although associations between color and behavior have been reported, this relationship has not yet been addressed across a broad taxonomic scale with a formal meta‐analysis. We used a phylogenetic meta‐analytic approach to examine the relationship between individual variation in aggressive behavior and variation in multiple colors. Seventy‐four studies met our inclusion criteria (vertebrates = 70; invertebrates = 4). After accounting for phylogeny and correcting for publication bias, there was a positive association between measures of aggression and degree or area of coloration (mean = 0.248, 95% CI = (0.044, 0.477)). Because this positive association was not restricted to melanin‐based coloration, we conclude that this pattern does not strongly support the melanin pleiotropy hypothesis. Because the association was also not affected by moderators accounting for individual condition, social rank, or age, the results do not strongly support hypotheses that condition dependence accounts for relationships between color and aggressive behavior. The badge of status hypothesis predicts that arbitrary traits can evolve to signal aggression or social dominance. We propose that this is the most parsimonious explanation for the patterns we observe. Because of the lack of evidence for condition dependence in the association between color and aggression, we further propose that the genetic covariation between traits contributes to the evolution of the badges of status.
m5C‐TNKmer: Identification of 5‐Methylated Base Cytosine of Ribonucleic Acid Using Supervised Machine Learning Techniques
Authors: Qazi Shahid , Shah Dilawar , Khan Mohammad Asmat Ullah , Ali Shujaat , Abrar Mohammad , Khan Asfandyar , Tahir Muhammad 
Published: December 2024

ABSTRACT5‐Methylcytosine (m5C) is a widely recognized epigenetic modification in ribonucleic acid (RNA), catalyzed by methyltransferases. This modification is crucial for various biological functions. While the role of m5C in deoxyribonucleic acid (DNA) has been extensively studied, its role in RNA is still in its early stages of exploration. Accurate and systematic detection and classification of m5C sites in RNA remain challenging tasks. Machine learning techniques offer an efficient alternative to traditional laboratory methods for identifying m5C sites in Homo sapiens. This study introduces a novel computational model m5C‐TNKmer, which utilizes k‐mer feature extraction to enhance the identification of m5C sites in RNA sequences. Four sub‐datasets derived from the primary dataset Di‐nucleotide (DNC), Tri‐nucleotide (TNC), Tetra‐nucleotide (Tetra‐NC), and Penta‐nucleotide (Penta‐NC) were used to train the model. The results demonstrated that m5C‐TNKmer achieved an impressive accuracy of 96.15%. This model provides a powerful tool for scientists to accurately identify RNA m5C sites, contributing to a deeper understanding of genetic functions and regulatory mechanisms.