bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating the Social Visibility of Abortions in Uganda and Ethiopia Using the Game of Contacts
Authors: Giorgio Margaret , Shiferaw Solomon , Makumbi Fredrick , Seme Assefa , Kibira Simon Peter Sebina , Nabukeera Sarah , Anjur‐Dietrich Selena , Yihdego Mahari , Tadele Niguse , Sully Elizabeth 
Published: November 2024

AbstractSocial network–based data collection methods that rely on third‐party reporting have emerged as a promising approach for measuring abortion in restrictive settings. In order for these methods to accurately measure abortion incidence, they must also assess the visibility of abortions within social networks. Failure to do so may result in estimates affected by transmission bias, caused by imperfect knowledge of all abortions within one's social network. In this paper, we present exploratory research that uses respondent‐driven sampling (RDS) and the game of contacts method to measure abortion visibility in four sites in Uganda and Ethiopia. We assess the existence of potential biases in the game of contacts estimate of abortion visibility in each site by conducting several internal and external validity tests. While these tests provided some promising results, other factors such as the representativeness of the RDS samples, direct versus indirect abortion knowledge transfers, and the generalizability of the study sites may have introduced biases into the final estimates of abortion visibility in this study. We conclude by making recommendations on how applications of this methodology could be improved to better estimate abortion‐related transmission bias.
Daily and Peak Monitor Independent Movement Summary (MIMS) Values Associated With Metabolic Syndrome: NHANES 2011–12 and 2013–14
Authors: Aguiar Elroy J. , Turner Dusty T. , Pleuss James D. , Zheng Peixuan , Benitez Cristal J. , Ducharme Scott W. 
Published: November 2024

ABSTRACTThe U.S. National Health and Nutrition Examination Survey (NHANES) physical activity monitor datasets for 2011–12 and 2013–14 were released in late 2020. To date, there has been limited interpretation of these nationally representative wrist‐worn accelerometer data (summarized and reported in Monitor Independent Movement Summary [MIMS] units) and their relationships with health‐related outcomes. This study examined the associations between free‐living DailyMIMS (volume), Peak 1MIMS and Peak 30MIMS (intensity), and risk of Metabolic Syndrome (MetS). Data from adults (N=3787; 18–80+ years) in the 2011–12 and 2013–14 NHANES cycles with health examination and accelerometry data were included. Accelerometer data were processed into Peak 1MIMS and Peak 30MIMS (MIMS/min), and DailyMIMS (MIMS/day). Design‐based generalized linear and logistic regressions, and a sample‐weighted decision tree, were used to examine associations between MIMS variables and MetS risk factors. Lower Peak 1MIMS, Peak 30MIMS, and DailyMIMS were observed for every one‐unit increase in the number of risk factors −3.9 [95% CI: −4.3, −3.4] and −2.3 [−2.6, −2.1] MIMS/min, (−672.1 [−772.7, −571.5] MIMS/day, respectively, all p< 0.001). The Decision Tree classified individuals ≥ 46.5 years with a DailyMIMS ≥ 12 245 MIMS/day and a Peak 30MIMS < 45.1 MIMS/min as having MetS (≥ 3 risk factors). Individuals < 46.5 years with a Peak 1MIMS ≥ 62.9 MIMS/min were classified with 0 risk factors. Higher DailyMIMS and PeakMIMS were associated with an absence of MetS risk factors, with a progressive decline as the number of risk factors increased. These findings may be considered as preliminary benchmarks for DailyMIMS and PeakMIMS associated with cardiometabolic risk.
Academic Air Travel: Debates, Tensions and the Need for a Sociology of Science Perspective
Authors: Rödder Simone , Braun Max 
Published: November 2024

ABSTRACTTraveling to conferences is a central feature of academic life. Yet recently, academic air travel has been called into question in the context of climate change, and the digital transformation has facilitated the spread of virtual alternatives to face‐to‐face meetings. The near‐total halt in air travel associated with the COVID‐19 pandemic has solidified the use of technologies of virtual meetings. However, the return to in‐person conferences after the pandemic suggests that these are not as easily replaced by virtual alternatives as is sometimes assumed. While this is increasingly coming into focus in the behavioral sciences, the sociology of science is largely absent in this debate. As a first step toward bringing this debate into conversation with the sociology of science, this review article examines the literature on academic air travel for key tensions, current debates and politicizations. It concludes that academic conference travel is an emerging, timely and relevant, yet under‐studied area of interest for sociologists of science, and suggests some avenues for future inquiry.
Why Fromm now? Envisioning a saner society
Authors: Chancer Lynn , McLaughlin Neil 
Published: November 2024

AbstractErich Fromm has long been a forgotten intellectual despite his status as a major critical theorist and sociologist in the 1930s, 1940s and 1950s but his work is being returned to with new enthusiasm because of events in the world, developments within sociology and new interest in psychosocial analysis dealing with emotions. This paper theorizes Fromm's return to scholarly influence now, offering analysis of both his reputational fate in light of the rise of global Trumpism and right wing‐populism and the value of the tools his unique merger of Freud, Marx and sociology offers in the contemporary moment.
Quantifying HLA Mismatches at Epitope Level in Haplo‐HSCT: Impact in the Outcome in Strategies Using PTCy
Authors: Gil‐Etayo Francisco Javier , Niño‐Ramírez Jairo Eduardo , Fonseca‐Santos Marta , Arroyo‐Sánchez Daniel , Navarro‐Bailón Almudena , Vicente Parra Ariadna , Jiménez Hernaz Isabel , Terradillos Sánchez Pilar , Boix Francisco , Alcoceba Miguel , Marín Luis , Pérez‐López Estefanía , Cabrero Mónica , Martín‐López Ana África , López Miriam , Baile Mónica , Avendaño Alejandro , Cabero Almudena , García‐Bacelar Ana , Vázquez Lourdes , Sánchez‐Guijo Fermín , García‐Sanz Ramón , López‐Corral Lucía , Tejeda Velarde Amalia 
Published: November 2024

ABSTRACTHaploidentical haematopoietic stem cell transplantation (haplo‐HSCT) is one of the most effective therapies for treating malignant haematological disorders. However, HLA disparities are significant barriers to the success of this process since they increase the risk of graft versus host disease (GvHD). HLA disparities quantification could help to anticipate the probability and degree of GvHD, but the best tool for such quantification remains a challenge. The aim of this study was to quantify the degree of HLA epitope incompatibilities using PIRCHE (Predicted Indirectly Recognisable HLA Epitopes) algorithm for immunogenicity prediction and their potential relationship with GvHD degree and clinical outcome. We studied 145 patients who underwent a haplo‐HSCT with post‐transplant cyclophosphamide (PTCy) from a related donor between 2013 and 2020 at our centre evaluating molecular HLA mismatches by PIRCHE‐algorithm. Patients with PIRCHE Score (PS) I + II > 38 in GvH direction, developed acute GvHD grade II–IV earlier than their counterparts (HR: 1.71, 95% CI: 1.02–2.87, p = 0.032). In addition, PS‐B > 1 in GvH direction was an independent risk factor for chronic GvHD, (HR: 2.51, 95% CI 1.17–5.36, p = 0.017). A higher incidence of relapse was found for patients with PS‐II > 28 HvG (HR: 9.16, 95% CI: 2.47–33.92, p < 0.001) which also favoured a worse GvHD/relapse‐free survival in patients with PS‐II > 27 in HvG direction (HR: 1.88, 95% CI: 1.11–3.18, p = 0.017). These findings indicate that the alloreactivity inferred by epitope HLA disparities is associated with post‐transplant outcomes. Thus, analysing PS could benefit the selection of the most suitable donors allowing patient stratification based on HLA mismatches in the context of haplo‐HSCT with PTCy.
Characterisation of the Novel HLA‐A*02:1189 Allele by Sequencing‐Based Typing
Authors: Blandin Lucie , Wojciechowski Elodie , Ralazamahaleo Mamy , Lemal Richard , Rouzaire Paul 
Published: November 2024

ABSTRACTHLA‐A2*02:1189 differs from HLA‐A*02:01:01:01 by one nucleotide substitution in codon 275 in exon 5.
The Novel HLA‐DQB1*04:01:01:03 Allele Identified Using HLA‐Targeted HiFi Sequencing
Authors: Li Yankun , Zhao Yuanli , Chen Yingjie , Wang Caili , Gao Peng 
Published: November 2024

ABSTRACTHLA‐DQB1*04:01:01:03 differs from HLA‐DQB1*04:01:01:01 by a 10‐nucleotide fragment insertion in intron 1.
The Novel HLA‐DPB1*05:01:22 Allele, Identified by Sanger Dideoxy Nucleotide Sequencing in a Chinese Individual
Authors: Xie Nan‐Nan , He Yan , Wu Danlei , Zhou Ying , Zheng Zhong‐Zheng 
Published: November 2024

ABSTRACTHLA‐DPB1*05:01:22 differs from HLA‐DPB1*05:01:01:01 by one nucleotide in exon 3.
The Novel HLA‐DRB1*04:388 Allele, Identified by Sanger Dideoxy Nucleotide Sequencing in a Chinese Individual
Authors: Liu Na , Wang Li Jun , Sun Tie Cheng , Jia Yan Jun 
Published: November 2024

ABSTRACTThe HLA‐DRB1*04:388 allele differs from HLA‐DRB1*04:01:01:01 by one nucleotide substitution in codon 44 in exon 2.
The Novel HLA‐B*40:585 Allele, Identified by Sanger Dideoxy Nucleotide Sequencing in a Chinese Individual
Authors: Liu Na , Wang Dong Mei , Jia Yan Jun , Sun Tie Cheng 
Published: November 2024

ABSTRACTThe HLA‐B*40:585 allele differs from HLA‐B*40:01:02:01 by one nucleotide substitution in codon 130 in exon 3.
The effects of deductive versus inductive pronunciation instruction in combination with captioned video on the acquisition of incongruent grapheme‐phoneme correspondences in L2 German
Authors: Jolitz Carolin , Mally Natacha Hélène Gilberte 
Published: November 2024

AbstractPrior research indicates that first language (L1) orthography can adversely affect second language (L2) phonological acquisition, yet studies on orthographic interference and pedagogical strategies to mitigate these effects remain sparse. Addressing these research gaps, this study investigates the impact of orthographic interference on L2 German pronunciation among L1 English speakers, employing a technology‐based homework intervention with EdPuzzle, an educational video platform, in three beginner courses. Students in two experimental groups engaged with captioned video clips and were guided through questions using either an inductive or deductive approach, while a control group focused solely on meaning. Analysis of a pre‐intervention production task revealed German grapheme‐phoneme correspondences < v > ‐ /f/, < s > ‐ /z/, and < z > ‐ /ts/ were most frequently mispronounced. Comprehensibility ratings by native German speakers suggest that both experimental groups significantly improved in their word‐level productions, with the inductive group also significantly improving in their sentence‐level productions. This study also sheds light on student perceptions of these instructional activities, enhancing our understanding of engaging L2 German pronunciation pedagogy. This research underscores the potential of integrating technology and accessible content in homework assignments to enrich and supplement L2 German pronunciation instruction in the classroom.
Effects of burial in soil on seed longevity and germinability of the winter annual weed wild barley (Hordeum spontaneum)
Authors: Nozarpour Elham , Edalat Mohsen , Soltani Elias , Baskin Carol C. , Baskin Jerry M. , Kazemeini Seyed AbdolReza 
Published: November 2024

AbstractHordeum spontaneum is a winter annual weed that reduces crop yields in Iran. The aim of this study was to quantitatively analyze the effects of burial on seed longevity and germinability and of water potential and temperature on germination. Seeds were placed in nylon‐mesh bags and buried in soil in a semi‐arid region on 1 July 2018 and exposed to natural temperature regimes. After 2 months of burial, seed viability started to decline with a slope of 0.0169%, and after 9 months all seeds were nonviable. Fresh seeds were dormant, but became non‐dormant during summer via dry after‐ripening. Thus, by late autumn (December) the seeds germinated to 100% in dark at 5 and 15°C. The base, optimum, and ceiling temperatures were 0.27, 17.5, and 25°C, respectively, at a water potential of 0 MPa. The hydrotime constant was 50.6–426.9 MPa h, base water potential −1.23 to −0.333 MPa and hydrothermal constant 1350.5 MPa °C h. These results can be used to predict timing and extent of weed emergence of H. spontaneum in crops and in planning for sustainable management strategies.
Direct conversion of dissolved air flotation sludge to mannosylerythritol lipids by Moesziomyces aphidis
Authors: Akkermans Veerle , D'aes Jolien , Dries Jan 
Published: November 2024

AbstractDissolved air flotation (DAF) sludge from wastewater treatment plants is often a lipid‐rich waste stream, which is now mostly being converted to biogas. Due to its high carbon content, DAF sludge has great potential in biotechnological applications. MEL production with floated grease from a sauce producer as substrate resulted in the accumulation of 1.1 ± 0.1 g/L MEL. With enhanced aeration through the use of baffled shaking flasks, MEL titres increased up to 9.7 ± 0.5 g/L. An adaptation period of 9 days was observed, after which the specific productivity reached 0.20 g/L.h. This study shows for the first time biosurfactant production from DAF sludge, with promising titres. Further research should focus on reducing the lag phase to increase productivity.
Site‐specific weed management on organic grain farms using variable rate seeding and data driven simulation
Authors: Loewen Sasha , Maxwell Bruce D. 
Published: November 2024

AbstractIntegrated weed management is integral to organic farming, with increased crop seeding rates as one effective weed suppression tactic. Precision agriculture, which uses guidance and sensor technologies to direct site‐specific management, could allow for targeted weed management using variable seeding rates. On farm precision experimentation (OFPE) can be used to predict site‐specific sub‐field weed biomass response to a range of varied crop and cover crop seed rates across whole fields to provide decision support directly to farmers. We used OFPE to compare five simulated precision seeding strategies to either maximize net return or minimize weed biomass. Five site‐years of OFPE data were collected from organic farms in Manitoba, Canada and Montana, USA. Seeding rate, weed biomass, crop yield, topographic variables and other remotely sensed data were collected on a 10‐m grid to model yield and weed response to seeding rates for each field. Simulated site‐specific variable seeding rate net returns improved upon farmer chosen uniform seeding rate net returns on average by $115 ha−1. When variable seeding rates were optimized to minimize weed biomass, simulated weeds were reduced on average by 10 kg ha−1 relative to the farmer chosen uniform seed rates. A combined variable rate approach which balanced net return and weed minimization improved both net return and weed suppression compared to farmer‐chosen seeding rates in every site‐year. The various seeding rate strategies represent different methods from which farmers can choose to implement OFPE to optimize sub‐field‐specific planting rates and to increase their field‐scale ecological knowledge.
Partitioning problems via random processes
Authors: Anastos Michael , Cooley Oliver , Kang Mihyun , Kwan Matthew 
Published: November 2024

AbstractThere are a number of well‐known problems and conjectures about partitioning graphs to satisfy local constraints. For example, the majority colouring conjecture of Kreutzer, Oum, Seymour, van der Zypen and Wood states that every directed graph has a 3‐colouring such that for every vertex , at most half of the out‐neighbours of have the same colour as . As another example, the internal partition conjecture, due to DeVos and to Ban and Linial, states that for every , all but finitely many ‐regular graphs have a partition into two non‐empty parts such that for every vertex , at least half of the neighbours of lie in the same part as . We prove several results in this spirit: in particular, two of our results are that the majority colouring conjecture holds for Erdős–Rényi random directed graphs (of any density), and that the internal partition conjecture holds if we permit a tiny number of ‘exceptional vertices’. Our proofs involve a variety of techniques, including several different methods to analyse random recolouring processes. One highlight is a personality‐changing scheme: we ‘forget’ certain information based on the state of a Markov chain, giving us more independence to work with.
Recalibrating R$\mathbb {R}$‐order trees and Homeo+(S1)$\mbox{Homeo}_+(S^1)$‐representations of link groups
Authors: Boyer Steven , Gordon Cameron McA. , Hu Ying 
Published: November 2024

AbstractIn this paper, we study the left‐orderability of 3‐manifold groups using an enhancement, called recalibration, of Calegari and Dunfield's ‘flipping’ construction, used for modifying ‐representations of the fundamental groups of closed 3‐manifolds. The added flexibility accorded by recalibration allows us to produce ‐representations of hyperbolic link exteriors so that a chosen element in the peripheral subgroup is sent to any given rational rotation. We apply these representations to show that the branched covers of families of links associated to epimorphisms of the link group onto a finite cyclic group are left‐orderable. This applies, for instance, to fibred hyperbolic strongly quasi‐positive links. Our result on the orderability of branched covers implies that the degeneracy locus of any pseudo‐Anosov flow on an alternating knot complement must be meridional, which generalises the known result that the fractional Dehn twist coefficient of any hyperbolic fibred alternating knot is zero. Applications of these representations to order detection of slopes are also discussed in the paper.
Experimental and Simulation Investigation of J-Shaped and Kammtail Virtual Airfoils in Small-Scale Horizontal Axis Wind Turbines
Authors: Al Hamad Saif , Abousabae Mohamed , Shaker Omar , Amano Ryoichi S. 
Published: November 2024

Abstract
In this work, the performance of new wind blade designs for small-scale horizontal axis wind turbines (HAWTs) was studied and compared with the performance of a baseline design. Three J-shaped pressure-side truncation ratios (1/3, 1/2, and 2/3) and two Kammtail Virtual Foil (KVF) truncation ratios (1/8 and 1/4) were studied. The baseline design was experimentally investigated. Output power was measured using a digital rotary torque sensor at three different wind speeds. Tip speed ratio (TSR) was calculated after measuring each wind speed's free-rotating revolutions per minute (RPM). Three wind speeds and experimental TSRs were used in three-dimensional simulations to capture the performances of the proposed cases and compare them with the baseline. The simulation investigation was carried out for lab-scale and scaled cases. The three-dimensional study found that the J-shaped blades enhanced the performance of the HAWTs for both lab-scale and scaled cases. J-shaped blades with a 1/3 opening ratio yielded an average power coefficient enhancement of around 1.56% and 4.16% for lab-scale and scaled cases, respectively. J-shaped blades with a 1/2 opening ratio yielded an average power coefficient enhancement of around 1.15% and 4.23% for lab-scale and scaled cases, respectively. On the other hand, J-shaped blades with a 2/3 opening ratio yielded an average power coefficient enhancement of around −0.12% and 2.54% for lab-scale and scaled cases, respectively. Furthermore, it was found that the KVF blades diminished the performance for both lab-scale and scaled cases.
Physics-Constrained Convolutional Recurrent Neural Networks for Solving Spatial-Temporal PDEs With Arbitrary Boundary Conditions
Authors: Li Guangfa , Lu Yanglong , Liu Dehao 
Published: November 2024

Abstract
The inception of physics-constrained or physics-informed machine learning represents a paradigm shift, addressing the challenges associated with data scarcity and enhancing model interpretability. This innovative approach incorporates the fundamental laws of physics as constraints, guiding the training process of machine learning models. In this work, the physics-constrained convolutional recurrent neural network is further extended for solving spatial-temporal partial differential equations with arbitrary boundary conditions. Two notable advancements are introduced: the implementation of boundary conditions as soft constraints through finite difference-based differentiation, and the establishment of an adaptive weighting mechanism for the optimal allocation of weights to various losses. These enhancements significantly augment the network’s ability to manage intricate boundary conditions and expedite the training process. The efficacy of the proposed model is validated through its application to two-dimensional problems in heat transfer, phase transition, and fluid dynamics, which are pivotal in materials modeling. Compared to traditional physics-constrained neural networks, the physics-constrained convolutional recurrent neural network demonstrates a tenfold increase in prediction accuracy within a similar computational budget. Moreover, the model’s exceptional performance in extrapolating solutions for the Burgers’ equation underscores its utility. Consequently, this research establishes the physics-constrained recurrent neural network as a viable surrogate model for sophisticated spatiotemporal PDE systems, particularly beneficial in scenarios plagued by sparse and noisy datasets.
Improving Knowledge Capture, Access, and Reuse by a Model-Based and Data-Driven Management Using the Example of Aviation’s Retrofit
Authors: Laukotka Fabian N. , Krause Dieter 
Published: November 2024

Abstract
The retrofit of aircraft - the design and installation of new cabins into existing planes, comes with challenges, particularly regarding access to the necessary information. Although aircraft are generally similar, each single one becomes unique over time due to its individual usage and maintenance. While certification requires the changes made to be documented, this is typically done through numerous individual documents that are differentiated by domain, area within the aircraft, revision, and other factors that lead to a fragmentation of information. Engineers rely on implicit knowledge gained from years of experience and common knowledge as well as established structures like the ATA-Chapters, to tediously re-join these fragments and gain an overview of the current state of the aircraft and the relevant documents. This work presents an approach that utilizes ontologies to capture implicit knowledge and combines it with system models defining generic information as well as the definitions of standards that are identical for certain types of aircraft. A web application that functions as an access system is introduced to help engineers filter and identify required information and documents more easily when planning a new cabin. Finally, together with a partner from the industry, this approach is applied to a case study.