bluuebunny/crossref_metadata_2025_split huggingface dataset:
Publishing in local ELT journals: A way to decolonialize knowledge Publicar en revistas locales de enseñanza del Inglés: Una forma de descolonizar el conocimiento
Authors: Cárdenas Melba Libia 
Published: September 2023

AbstractEducational institutions, particularly those for higher education, seek to ensure their visibility and valid indicators for institutional accreditation processes through the publications of their teachers. Their projection is intimately associated with the circulation of their production in accredited publications whose reputations depend on their positions in prestigious rankings, databases, and indexing systems. That is why Colombia, in recent years, has experienced an increase in the number of scientific journals published in the country. This phenomenon was a reaction by academics to the obstacles for publishing in renowned journals, generally edited in hegemonic or central contexts, where it is presumed that knowledge is disseminated for the whole world. In this article, the author analyzes the role played by locally edited journals in the decolonialization of knowledge. She bases her analysis on studies carried out in the fields of the English teacher as researcher and writer, academic writings, and the publication of scientific journals. She identifies the contributions, suggestions, and challenges for publications in the English language teaching area. She also stresses the importance of strengthening professional communities, encouraging greater participation by teachers in the dissemination of their work, and the need to value knowledge generated in peripheral contexts, without ignoring links with the global world.
Modified expression for hydraulic conductivity according to Mualem–van Genuchten to allow proper computations at low‐pressure heads
Authors: Heinen Marius 
Published: September 2023

AbstractWater retention and hydraulic conductivity characteristics are key input data in studies on soil water dynamics in the vadose zone. The most well‐known analytical functions to describe these characteristics are those given by Mualem and van Genuchten, where van Genuchten showed that both can be described by a limited set of shared parameters. Analytically, there are no restrictions on the range of pressure heads for which these characteristics can be used. Experience, however, has shown that for certain sets of parameters, the hydraulic conductivity cannot be computed accurately at low‐pressure heads. This is due to the accuracy of (double precision) floating point operations in computer code. It is shown that for low‐pressure heads, the Mualem function approaches a power function. An adapted version of the Mualem–van Genuchten (MvG) expression for the hydraulic conductivity is proposed: between saturation and a soil‐dependent critical pressure head, the classical Mualem expression is valid and below this critical pressure head a power function is used. The power function is defined such that it matches the Mualem value at the critical pressure head. No accuracy problems will occur when using the power function until the result approaches the smallest possible (double precision) floating point value that significantly differs from zero.
Ghost authors revealed: The structure and function of human N6‐methyladenosine RNA methyltransferases
Authors: Breger Kurtis , Kunkler Charlotte N. , O'Leary Nathan J. , Hulewicz Jacob P. , Brown Jessica A. 
Published: September 2023

AbstractDespite the discovery of modified nucleic acids nearly 75 years ago, their biological functions are still being elucidated. N6‐methyladenosine (m6A) is the most abundant modification in eukaryotic messenger RNA (mRNA) and has also been detected in non‐coding RNAs, including long non‐coding RNA, ribosomal RNA, and small nuclear RNA. In general, m6A marks can alter RNA secondary structure and initiate unique RNA–protein interactions that can alter splicing, mRNA turnover, and translation, just to name a few. Although m6A marks in human RNAs have been known to exist since 1974, the structures and functions of methyltransferases responsible for writing m6A marks have been established only recently. Thus far, there are four confirmed human methyltransferases that catalyze the transfer of a methyl group from S‐adenosylmethionine (SAM) to the N6 position of adenosine, producing m6A: methyltransferase‐like protein (METTL) 3/METTL14 complex, METTL16, METTL5, and zinc‐finger CCHC‐domain‐containing protein 4. Though the methyltransferases have unique RNA targets, all human m6A RNA methyltransferases contain a Rossmann fold with a conserved SAM‐binding pocket, suggesting that they utilize a similar catalytic mechanism for methyl transfer. For each of the human m6A RNA methyltransferases, we present the biological functions and links to human disease, RNA targets, catalytic and kinetic mechanisms, and macromolecular structures. We also discuss m6A marks in human viruses and parasites, assigning m6A marks in the transcriptome to specific methyltransferases, small molecules targeting m6A methyltransferases, and the enzymes responsible for hypermodified m6A marks and their biological functions in humans. Understanding m6A methyltransferases is a critical steppingstone toward establishing the m6A epitranscriptome and more broadly the RNome.This article is categorized under:
RNA Interactions with Proteins and Other Molecules > Protein‐RNA Recognition
RNA Interactions with Proteins and Other Molecules > RNA‐Protein Complexes
RNA Interactions with Proteins and Other Molecules > Protein‐RNA Interactions: Functional Implications
Database Internals: Algorithmic Optimizations
Authors: Mendes Felipe Cardeneti , Sarna Piotr , Emelyanov Pavel , Dunlop Cynthia 
Published: September 2023

AbstractIn the performance world, the hardware is always the unbreakable limiting factor—one cannot squeeze more performing units from a system than the underlying chips may provide. As opposed to that, the software part of the system is often considered the most flexible thing in programming—in the sense that it can be changed at any time given enough developers’ brains and hands (and investors’ cash).
Unemployment: A Case for Medicine and Psychology?
Authors: Linden Philipp , Reibling Nadine 
Published: September 2023

AbstractUnemployment is one of the classical social risks that are covered by the welfare state. For cases in which unemployment stems from ill health, welfare states have long provided specific medicalized benefits (e.g., sickness and incapacity benefits). However, the boundary between unemployment and sickness/incapacity has received an increasing level of attention in the context of activation and retrenchment reforms. In this chapter, Linden and Reibling present the most recent literature on the medicalization of unemployment from the last two decades and illustrate how institutional setups and reforms have led to both the medicalization and de-medicalization of unemployment in Germany. Moreover, the authors reveal how medicalizing unemployed individuals affects labor market reintegration, health status, and public attitudes toward unemployed people.
Poverty: More Than Just a Lack of Material Resources?
Authors: Krayter Stephan , Ariaans Mareike 
Published: September 2023

AbstractKrayter and Ariaans empirically demonstrate how poverty is becoming increasingly connected to medical and psychological language as well as to medicalized and psychologized institutional categories. By first showing that poverty is a social construct whose meaning has developed throughout the decades, the authors reveal that scientific publications have contributed to an increasingly medical and psychological definition of poverty. Drawing on the example of Germany, the authors explain how political actors have medicalized and psychologized the issue of poverty as well as how German institutions have increasingly frequently drawn on medical and psychological labels and categories.
Larvae of Sasakia charonda (Lepidoptera: Nymphalidae: Apaturinae) and three related species use oral odorants to repel ants and wasps
Authors: Hayashi Taro , Holikawa Kaori , Akiba Hisako , Inoue Takashi A. , Niihara Kinuko , Fukuda Tatsuya 
Published: September 2023

AbstractWe incidentally discovered that the larvae of Sasakia charonda (Hewitson, 1863) (Lepidoptera: Nymphalidae: Apaturinae) disturbed by ants, wasps, or humans release volatile compounds orally. To identify these substances, we collected oral odorant samples directly from the mouths of S. charonda larvae into volatile-collecting tubes. The trapped oral odorant samples were subjected to gas chromatography–mass spectrometry (GC–MS). We confirmed the identity of 19 substances by comparing them to GC results of known standards and inferred them to mainly be alcohols and aldehydes/ketones, with main chains of 4–5 carbons. Three of the chemicals in the oral odorant samples, 2-butanol, 1-penten-3-ol, and 3-pentanone, showed a repellant effect on the ants Pristomyrmex punctatus (Smith, 1860) and Formica japonica Motschoulsky, 1866 (Hymenoptera: Formicidae). We also examined the effects of these 19 volatiles on Polistes spp. (Hymenoptera: Vespidae) and confirmed that some of them were effective repellants against these wasps. We propose that the substances we identified in this study can be used as defensive chemicals, analogous to the osmeterium emissions specific to Papilionidae butterflies. Furthermore, we examined the oral odorants of three related Japanese Apaturine species, Hestina assimilis (Linnaeus, 1758), H. persimilis (Westwood, 1850), and Apatura metis (Freyer, 1829) using the same approach. The chemical compositions of the oral odorants of H. assimilis and H. persimilis were similar to that of S. charonda, whereas that of A. metis differed. Some of the oral substances also induced a defensive response in conspecific Apaturinae larvae. We consider these substances to also act as alarm pheromones in these larvae.
Performance benchmark of deep learning human pose estimation for UAVs
Authors: Kalampokas Theofanis , Krinidis Stelios , Chatzis Vassilios , Papakostas George A. 
Published: September 2023

AbstractHuman pose estimation (HPE) is a computer vision application that estimates human body joints from images. It gives machines the capability to better understand the interaction between humans and the environment. For this accomplishment, many HPE methods have been deployed in robots, vehicles, and unmanned aerial vehicles (UAVs). This effort raised the challenge of balance between algorithm performance and efficiency, especially in UAVs, where computational resources are limited for saving battery power. Despite the considerable progress in the HPE problem, there are very few methods that are proposed to face this challenge. To highlight the severity of this fact, the proposed paper presents a brief review and an HPE benchmark from the aspect of algorithms performance and efficiency under UAV operation. More specifically, the contribution of HPE methods in the last 22 years is covered, along with the variety of methods that exist. The benchmark consists of 36 pose estimation models in 3 known datasets with metrics that fulfill the paper aspect. From the results, MobileNet-based models achieved competitive performance and the lowest computational cost, in comparison with ResNet-based models. Finally, benchmark results are projected in edge devices hardware specifications to analyze the appropriateness of these algorithms for UAV deployment.
Type of medial meniscus tear does not affect the clinical and radiological outcomes of medial opening‐wedge high tibial osteotomy
Authors: Kim Chang‐Wan , Lee Chang‐Rack , Son Gyu‐Ha 
Published: September 2023

AbstractPurposeThe current study aimed to evaluate the effect of medial meniscus posterior root tear (MMPRT) on radiological and clinical outcomes after medial opening‐wedge high tibial osteotomy (MOWHTO).MethodsThis retrospective cohort study included patients who underwent MOWHTO (113 knees) at our hospital between September 2012 and June 2020 and who were followed up for > 2 years. The radiological and clinical outcomes were compared between the MMPRT group (52 knees), who included patients with MMPRT, and the non‐MMPRT group (61 knees), who comprised patients without meniscal tear or with any type of meniscal tear other than MMPRT. Logistic regression analysis was performed to evaluate factors affecting osteoarthritis (OA) progression after MOWHTO.ResultsThe mean follow‐up period was 40.6 ± 14.2 months. The mean ages of the MMPRT and non‐MMPRT groups were 56.9 ± 6.4 and 54.4 ± 6.1 years, respectively (p = 0.031). There was no significant difference in the last follow‐up radiological and clinical outcomes between the two groups. In the logistic regression analysis, the postoperative hip–knee–ankle angle was a risk factor of OA progression after MOWHTO (odds ratio 0.7; 95% confidence interval 0.5–0.9; p = 0.006), and the type of medial meniscus tear was not associated with OA progression (p = n.s.).ConclusionsIn the short‐ to mid‐term follow‐up of MOWHTO, the radiological or clinical outcomes of patients with MMPRT were not inferior to those of patients without MMPRT. Postoperative lower extremity alignment, but not MMPRT, was a factor influencing MOWHTO prognosis. Concurrent root repair in HTO will restore the anatomy better; however, its effect on progression of OA is yet to be proven.Level of evidenceIV.
T-structures on unbounded twisted complexes
Authors: Genovese Francesco 
Published: September 2023

AbstractThis paper is a sequel to T-structures and twisted complexes on derived injectives by the same author with W. Lowen and M. Van den Bergh. We define a dg-category of unbounded twisted complexes on a dg-category, which is particularly interesting in the case of dg-categories of derived injectives or derived projectives associated to a t-structure. On such unbounded twisted complexes we define a natural “injective” and dually a “projective” t-structure. This is intended as a direct generalization of the homotopy categories of injective or projective objects of an abelian category.
Concurrence of seizures and peri-ictal delirium in the critically ill - its frequency, associated characteristics, and outcomes
Authors: Frei Anja I. , Wagner Anna S. , Baumann Sira M. , Grzonka Pascale , Berger Sebastian , Hunziker Sabina , Rüegg Stephan , Marsch Stephan , Sutter Raoul 
Published: September 2023

Abstract
Background
To assess the frequency, clinical features, and outcome of peri-ictal delirium in adult patients experiencing seizures during intensive care.

Methods
This observational study was conducted at a Swiss intensive care unit from 2015 to 2020. Patients aged ≥ 18 years with seizures were categorized as peri-ictal delirious (Intensive Care Delirium Screening Checklist [i.e., ICDSC] ≥ 4) or not (i.e., ICDSC < 4) within 24 h of seizures. The frequency of peri-ictal delirium and in-hospital death were defined as the primary endpoints. Illness severity and treatment characteristics between delirious and non-delirious patients were secondary endpoints. Logistic regression was used to compare in-hospital death and differences regarding clinical characteristics between delirious and non-delirious patients.

Results
48% of 200 patients had peri-ictal delirium for a median of 3 days. Delirious patients were older (median age 69 vs. 62 years, p = 0.002), had lower Simplified Acute Physiology Scores II (SAPS II; median 43 vs. 54, p = 0.013), received neuroleptics more frequently (31 vs. 5%, p < 0.001), were mechanically ventilated less often (56% vs. 73%, p = 0.013) and shorter (median 3 vs. 5 days, p = 0.011), and had decreased odds for in-hospital death with delirium (OR = 0.41, 95% CI 0.20–0.84) in multivariable analyses.

Conclusions
Delirium emerged in every second patient experiencing seizures and was associated with lower SAPS II, shorter mechanical ventilation, and better outcomes, contradicting assumptions that altered cerebral function, from seizures and delirium, are linked to unfavorable outcomes.
Short- and long-term effects of nutritional state on IGF-1 levels in nestlings of a wild passerine
Authors: Lodjak Jaanis , Boonekamp Jelle , Lendvai Ádám Z. , Verhulst Simon 
Published: September 2023

AbstractGrowth trajectories of young animals are intimately connected to their fitness prospects, but we have little knowledge of growth regulation mechanisms, particularly in the wild. Insulin-like growth factor 1 (IGF-1) is a central hormone in regulating resource allocation, with higher IGF-1 levels resulting in more growth. IGF-1 levels generally increase in conjunction with nutritional state, but whether IGF-1 levels are adjusted in response to current nutrient availability or to the nutrient availability integrated over a longer term is not well known. We tested for such effects by supplementary feeding the jackdaw (Corvus monedula) nestlings in experimentally reduced or enlarged broods with either water (control) or a food solution; these manipulations have long- and short-term effects on the nutritional state, respectively. Baseline plasma IGF-1 levels were higher in reduced broods. Food supplementation induced an increase in plasma IGF-1 levels measured one hour later, and this effect was significantly more substantial in nestlings in reduced broods. Changes in plasma IGF-1 levels increased with increased retention of the supplementary food, which was higher in reduced broods, explaining the stronger IGF-1 response. Thus, IGF-1 levels respond to short-term variations in the nutritional state, but this effect is amplified by longer-term variations in the nutritional state. We discuss our findings using a graphical model that integrates the results of the two treatments.
Impacts of climate change on dogsledding recreation and tourism in Arctic Sweden
Authors: Nilsson Robert O. , Demiroglu O. Cenk 
Published: September 2023

AbstractThe range of Arctic tourism supply is continuously increasing with a variety of tourism products on offer. However, climate change is becoming a more prominent issue threatening the operations of tourism businesses and the livelihood of some tourism actors, such as dogsledders. This article aims to fill the descriptive research gap that exists regarding the dependency on the physical environment, climate, and weather for dogsledding activities. This is achieved by studying how climate change may threaten possible climate and weather thresholds for these activities, and how climate change may affect the future opportunities for dogsledding in northern Sweden. The study is based on interviews with dogsledders in Arctic Sweden and climate projections from the Swedish Meteorological and Hydrological Institute (SMHI). The results demonstrate the following thresholds for dogsledding activities: (1) dogsledding requires 10–20 cm of packed snow and/or solid ice on bodies of water, (2) above 15 °C is too hot for dogs to pull (wheeled) sledges, (3) cold weather thresholds are determined by visitors’ preferences and are not considered a problem for dogsledders or dogs, and (4) rain can cancel tours for all dogsledders, and strong wind can cancel tours for dogsledders located in the mountain regions. Finally, extreme events such as heatwaves, storms, thunderstorms, forest fires, heavy rain, floods, and more rapid weather changes have already affected some dogsledders. These necessary thresholds for dogsledding activities could already be jeopardized for the southern and coastal locations of Arctic Sweden. In addition, the climate projections from SMHI show that warmer days and more precipitation in the form of rain will become more common in the future, especially in the absence of global mitigation measures. However, further research on vulnerability/resilience and adaption strategies for dogsledding activities is necessary to truly understand the impact of climate change.
The effect of weather conditions on scores at the United States Masters golf tournament
Authors: Jowett Harry , Phillips Ian D. 
Published: September 2023

AbstractThis paper investigates the sensitivity of golfers’ performance to meteorological conditions at the men’s US Masters tournament over the 40-year period 1980–2019. The mean and standard deviation of round scores are related to local temperature, humidity, wind speed and direction, and concurrent and antecedent precipitation. Mean scores are more dependent on weather conditions than the variability of scores in a given round. The best predictor of mean scores is the wet-bulb temperature in rounds one and two, and the zonal wind speed in rounds three and four. Across both sets of rounds (1 and 2, and 3 and 4), the wet-bulb temperature is a better predictor of mean scores than the air temperature, which implies that atmospheric moisture content affects scores. In general, golfers take fewer shots and so perform better in warmer and calmer conditions. The synergestic effect of several weather variables explains over 44% of the variance in mean scores. Mean meteorological conditions during play are a much better predictor of the players’ average performance than the standard deviation of the weather variables. The golfers’ performance becomes more variable in cooler conditions with a wider range of scores. Precipitation during play and the dampness of the ground (as quantified by rainfall up to ten days before play) do not have a consistent and statistically significant effect on the competitors’ performance. In short, this paper demonstrates that golf scores are dependent on weather conditions.
Deep learning: systematic review, models, challenges, and research directions
Authors: Talaei Khoei Tala , Ould Slimane Hadjar , Kaabouch Naima 
Published: September 2023

AbstractThe current development in deep learning is witnessing an exponential transition into automation applications. This automation transition can provide a promising framework for higher performance and lower complexity. This ongoing transition undergoes several rapid changes, resulting in the processing of the data by several studies, while it may lead to time-consuming and costly models. Thus, to address these challenges, several studies have been conducted to investigate deep learning techniques; however, they mostly focused on specific learning approaches, such as supervised deep learning. In addition, these studies did not comprehensively investigate other deep learning techniques, such as deep unsupervised and deep reinforcement learning techniques. Moreover, the majority of these studies neglect to discuss some main methodologies in deep learning, such as transfer learning, federated learning, and online learning. Therefore, motivated by the limitations of the existing studies, this study summarizes the deep learning techniques into supervised, unsupervised, reinforcement, and hybrid learning-based models. In addition to address each category, a brief description of these categories and their models is provided. Some of the critical topics in deep learning, namely, transfer, federated, and online learning models, are explored and discussed in detail. Finally, challenges and future directions are outlined to provide wider outlooks for future researchers.