bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is it possible to recruit HIV self-test users for an anonymous phone-based survey using passive recruitment without financial incentives? Lessons learned from a pilot study in Côte d’Ivoire
Authors: Simo Fotso Arlette , Kra Arsène Kouassi , Maheu-Giroux Mathieu , Boye Sokhna , d’Elbée Marc , Ky-zerbo Odette , Rouveau Nicolas , N’Guessan Noel Kouassi , Geoffroy Olivier , Vautier Anthony , Larmarange Joseph ,   for the ATLAS Team
Published: January 2022

Abstract
Background
Due to the discreet and private nature of HIV self-testing (HIVST), it is particularly challenging to monitor and assess the impacts of this testing strategy. To overcome this challenge, we conducted a study in Côte d’Ivoire to characterize the profile of end users of HIVST kits distributed through the ATLAS project (AutoTest VIH, Libre d’Accéder à la connaissance de son Statut). Feasibility was assessed using a pilot phone-based survey.

Methods
The ATLAS project aims to distribute 221300 HIVST kits in Côte d’Ivoire from 2019 to 2021 through both primary (e.g., direct distribution to primary users) and secondary distribution (e.g., for partner testing). The pilot survey used a passive recruitment strategy—whereby participants voluntarily called a toll-free survey phone number—to enrol participants. The survey was promoted through a sticker on the HIVST instruction leaflet and hotline invitations and informal promotion by HIVST kit-dispensing agents. Importantly, participation was not financially incentivized, even though surveys focussed on key populations usually use incentives in this context.

Results
After a 7-month period in which 25,000 HIVST kits were distributed, only 42 questionnaires were completed. Nevertheless, the survey collected data from users receiving HIVST kits via both primary and secondary distribution (69% and 31%, respectively).

Conclusion
This paper provides guidance on how to improve the design of future surveys of this type. It discusses the need to financial incentivize participation, to reorganize the questionnaire, the importance of better informing and training stakeholders involved in the distribution of HIVST, and the use of flyers to increase the enrolment of users reached through secondary distribution.
Linoleic acid as corpse recognition signal in a social aphid
Authors: Shibao Harunobu , Kutsukake Mayako , Matsuyama Shigeru , Fukatsu Takema 
Published: January 2022

AbstractSocial insect colonies constantly produce dead insects, which cause sanitary problems and potentially foster deadly pathogens and parasites. Hence, many social insects have evolved a variety of hygienic behaviors to remove cadavers from the colonies. To that end, they have to discriminate dead insects from live ones, where chemical cues should play important roles. In ants, bees and termites, such corpse recognition signals, also referred to as “death pheromones” or “necromones”, have been identified as fatty acids, specifically oleic acid and/or linoleic acid. Meanwhile, there has been no such report on social aphids. Here we attempted to identify the “death pheromone” of a gall-forming social aphid with second instar soldiers, Tuberaphis styraci, by making use of an artificial diet rearing system developed for this species. On the artificial diet plates, soldiers exhibited the typical cleaning behavior, pushing colony wastes with their heads continuously, against dead aphids but not against live aphids. GC-MS and GC-FID analyses revealed a remarkable increase of linoleic acid on the body surface of the dead aphids in comparison with the live aphids. When glass beads coated with either linoleic acid or body surface extract of the dead aphids were placed on the artificial diet plates, soldiers exhibited the cleaning behavior against the glass beads. A series of behavioral assays showed that (i) soldiers exhibit the cleaning behavior more frequently than non-soldiers, (ii) young soldiers perform the cleaning behavior more frequently than old soldiers, and (iii) the higher the concentration of linoleic acid is, the more active cleaning behavior is induced. Analysis of the lipids extracted from the aphids revealed that linoleic acid is mainly derived from phospholipids that constitute the cell membranes. In conclusion, we identified linoleic acid as the corpse recognition factor of the social aphid T. styraci. The commonality of the death pheromones across the divergent social insect groups (Hymenoptera, Blattodea and Hemiptera) highlights that these unsaturated fatty acids are generally produced by enzymatic autolysis of cell membranes after death and therefore amenable to utilization as a reliable signal of dead insects.
Sweep-tracing algorithm: in silico slip crystallography and tension-compression asymmetry in BCC metals
Authors: Bertin Nicolas , Zepeda-Ruiz L.A. , Bulatov V.V. 
Published: January 2022

AbstractDirect Molecular Dynamics (MD) simulations are being increasingly employed to model dislocation-mediated crystal plasticity with atomic resolution. Thanks to the dislocation extraction algorithm (DXA), dislocation lines can be now accurately detected and positioned in space and their Burgers vector unambiguously identified in silico, while the simulation is being performed. However, DXA extracts static snapshots of dislocation configurations that by themselves present no information on dislocation motion. Referred to as a sweep-tracing algorithm (STA), here we introduce a practical computational method to observe dislocation motion and to accurately quantify its important characteristics such as preferential slip planes (slip crystallography). STA reconnects pairs of successive snapshots extracted by DXA and computes elementary slip facets thus precisely tracing the motion of dislocation segments from one snapshot to the next. As a testbed for our new method, we apply STA to the analysis of dislocation motion in large-scale MD simulations of single crystal plasticity in BCC metals. We observe that, when the crystal is subjected to uniaxial deformation along its [001] axis, dislocation slip predominantly occurs on the {112} maximum resolved shear stress plane under tension, while in compression slip is non-crystallographic (pencil) resulting in asymmetric mechanical response. The marked contrast in the observed slip crystallography is attributed to the twinning/anti-twinning asymmetry of shears in the {112} planes relatively favoring dislocation motion in the twinning sense while hindering dislocations from moving in the anti-twinning directions.
Parallel-GPU-accelerated adaptive mesh refinement for three-dimensional phase-field simulation of dendritic growth during solidification of binary alloy
Authors: Sakane Shinji , Takaki Tomohiro , Aoki Takayuki 
Published: January 2022

AbstractIn the phase-field simulation of dendrite growth during the solidification of an alloy, the computational cost becomes extremely high when the diffusion length is significantly larger than the curvature radius of a dendrite tip. In such cases, the adaptive mesh refinement (AMR) method is effective for improving the computational performance. In this study, we perform a three-dimensional dendrite growth phase-field simulation in which AMR is implemented via parallel computing using multiple graphics processing units (GPUs), which provide high parallel computation performance. In the parallel GPU computation, we apply dynamic load balancing to parallel computing to equalize the computational cost per GPU. The accuracy of an AMR refinement condition is confirmed through the single-GPU computations of columnar dendrite growth during the directional solidification of a binary alloy. Next, we evaluate the efficiency of dynamic load balancing by performing multiple-GPU parallel computations for three different directional solidification simulations using a moving frame algorithm. Finally, weak scaling tests are performed to confirm the parallel efficiency of the developed code.
Pinning of dislocations in disordered alloys: effects of dislocation orientation
Authors: Zaiser Michael , Wu Ronghai 
Published: January 2022

AbstractThe current interest in compositionally complex alloys including so called high entropy alloys has caused renewed interest in the general problem of solute hardening. It has been suggested that this problem can be addressed by treating the alloy as an effective medium containing a random distribution of dilatation and compression centers representing the volumetric misfit of atoms of different species. The mean square stresses arising from such a random distribution can be calculated analytically, their spatial correlations are strongly anisotropic and exhibit long-range tails with third-order power law decay (Geslin and Rodney 2021; Geslin et al. 2021). Here we discuss implications of the anisotropic and long-range nature of the correlation functions for the pinning of dislocations of arbitrary orientation. While edge dislocations are found to follow the standard pinning paradigm, for dislocations of near screw orientation we demonstrate the co-existence of two types of pinning energy minima.
Machine learning-assisted high-throughput exploration of interface energy space in multi-phase-field model with CALPHAD potential
Authors: Attari Vahid , Arroyave Raymundo 
Published: January 2022

AbstractComputational methods are increasingly being incorporated into the exploitation of microstructure–property relationships for microstructure-sensitive design of materials. In the present work, we propose non-intrusive materials informatics methods for the high-throughput exploration and analysis of a synthetic microstructure space using a machine learning-reinforced multi-phase-field modeling scheme. We specifically study the interface energy space as one of the most uncertain inputs in phase-field modeling and its impact on the shape and contact angle of a growing phase during heterogeneous solidification of secondary phase between solid and liquid phases. We evaluate and discuss methods for the study of sensitivity and propagation of uncertainty in these input parameters as reflected on the shape of the Cu6Sn5 intermetallic during growth over the Cu substrate inside the liquid Sn solder due to uncertain interface energies. The sensitivity results rank σSI,σIL, and σIL, respectively, as the most influential parameters on the shape of the intermetallic. Furthermore, we use variational autoencoder, a deep generative neural network method, and label spreading, a semi-supervised machine learning method for establishing correlations between inputs of outputs of the computational model. We clustered the microstructures into three categories (“wetting”, “dewetting”, and “invariant”) using the label spreading method and compared it with the trend observed in the Young-Laplace equation. On the other hand, a structure map in the interface energy space is developed that shows σSI and σSL alter the shape of the intermetallic synchronously where an increase in the latter and decrease in the former changes the shape from dewetting structures to wetting structures. The study shows that the machine learning-reinforced phase-field method is a convenient approach to analyze microstructure design space in the framework of the ICME.
Examining the vintage effect in hedonic pricing using spatially varying coefficients models: a case study of single-family houses in the Canton of Zurich
Authors: Dambon Jakob A. , Fahrländer Stefan S. , Karlen Saira , Lehner Manuel , Schlesinger Jaron , Sigrist Fabio , Zimmermann Anna 
Published: January 2022

AbstractThis article examines the spatially varying effect of age on single-family house (SFH) prices. Age has been shown to be a key driver for house depreciation and is usually associated with a negative price effect. In practice, however, there exist deviations from this behavior which are referred to as vintage effects. We estimate a spatially varying coefficients (SVC) model to investigate the spatial structures of vintage effects on SFH pricing. For SFHs in the Canton of Zurich, Switzerland, we find substantial spatial variation in the age effect. In particular, we find a local, strong vintage effect primarily in urban areas compared to pure depreciative age effects in rural locations. Using cross validation, we assess the potential improvement in predictive performance by incorporating spatially varying vintage effects in hedonic models. We find a substantial improvement in out-of-sample predictive performance of SVC models over classical spatial hedonic models.
Prevalence and clinical implication of adverse childhood experiences and their association with substance use disorder among patients with schizophrenia
Authors: Yousef Amira Mohamed , Mohamed Amany Elshabrawy , Eldeeb Seham Mahmoud , Mahdy Rehab S. 
Published: January 2022

Abstract
Background
Adverse childhood experiences (ACEs) and substance use disorder (SUD) are well-known risk factors for psychosis and dramatically affect schizophrenia. In this research, we aimed to measure the prevalence of adverse childhood experiences and substance use disorder in patients with schizophrenia and assess the effect of ACEs on the clinical presentation and overall functioning and the association between them and SUD in patients with schizophrenia. A cross-sectional study included a random sample of 165 schizophrenic patients who were examined by doing drug screen in urine, structured questionnaire to collect Socioeconomic characteristics, history of schizophrenia, structured clinical interview for Diagnostic and Statistical Manual of Mental Disorders-fifth edition, Positive and Negative Syndrome Scale (PANSS), Adverse Childhood Experiences International Questionnaire (ACE-IQ), World Health Organization Disability Assessment Schedule 2.0, compliance rating scale, addiction severity index fifth edition (ASI) for individuals with positive urine drug screen.

Results
Only 14.4% of the studied patients had no adverse childhood experiences. The prevalence of positive substance abuse screening was 18.2%. There were statistically significant negative correlations between total ACE score and educational level, socioeconomic level, and the onset of schizophrenia. On the other hand, statistically significant positive correlations were found between the total ACE score and PANSS score and ASI score. The first most frequent ACE was significantly associated with female gender, lower education levels, low and middle socioeconomic classes, lifetime substance use, smokers, and positive drug screening. Emotional neglect and contact sexual abuse were significantly associated with positive drug screening. At the same time, Physical abuse was significantly associated with both lifetime substance use and positive drug screening.

Conclusion
The current study’s findings indicate that childhood adverse experiences and substance abuse are prevalent problems in patients with schizophrenia. Given that there is an association between both issues, they may affect the symptomatology of the disorder, the prognosis, and the therapeutic plan. It is advised that a greater emphasis on and identification of childhood trauma and drug use disorder may be a necessary step in assessing patients with schizophrenia.
Concurrent pulmonary arteriovenous malformation and pulmonary embolism causing stroke: a therapeutic dilemma
Authors: Cha Jung Guen , Hong Jihoon 
Published: January 2022

Abstract
Background
As pulmonary arteriovenous malformation (PAVM) include a right-to-left shunt, it can be accompanied by fatal complications such as stroke and brain abscess due to paradoxical embolism. A concurrent PAVM and pulmonary embolism (PE) is a rare condition. Therefore, the sequence of management has not been established.

Case presentation
A 62-year-old female patient was transferred to our hospital with a sporadic simple PAVM and concurrent bilateral PE. On chest computed tomography (CT), the acute PE was extended to the segmental pulmonary artery where the feeding artery of PAVM originated. Despite the anticoagulation, the patient complained of left sided weakness on the fifth day of admission, and magnetic resonance imaging revealed an acute infarction in the right lateral thalamus, which was thought to be caused by paradoxical embolism. This situation could lead to a dilemma between the risk of thrombus migration during PAVM embolization and another embolic event due to delayed shunt occlusion during anticoagulation. After a multidisciplinary discussion, a delayed endovascular embolization was performed for PAVM after confirming the complete resolution of PE with 4 months of anticoagulation. The cause of PE in this patient was eventually diagnosed as antiphospholipid syndrome.

Conclusion
The authors reported a rare case of concurrent PAVM and PE that led to an embolic stroke during hospitalization. This patient was managed with delayed endovascular embolization for PAVM after an anticoagulation for PE and stroke. It is thought to be valuable in deciding for a treatment plan for this rare condition.
Alternative pathways for hydrogen sink originated from the ruminal fermentation of carbohydrates: Which microorganisms are involved in lowering methane emission?
Authors: Pereira Ana Margarida , de Lurdes Nunes Enes Dapkevicius Maria , Borba Alfredo E. S. 
Published: January 2022

AbstractAgriculture is responsible for a great share of the anthropogenic sources of greenhouse gases that, by warming the earth, threaten its biodiversity. Among greenhouse gas emissions, enteric CH4 from livestock is an important target to slow down climate changes. The CH4 is originated from rumen fermentation and its concentration is affected by several factors, including genetics and nutrition. Ruminants have an extraordinary symbiosis with microorganisms (bacteria, fungi, and protozoa) that ferment otherwise indigestible carbohydrates, from which they obtain energy to grow and continue actively producing, among other products, volatile fatty acids, CO2 and H2. Detrimental ruminal accumulation of H2 is avoided by methanogenesis carried out by Archaea methanogens. Importantly, methanogenesis is not the only H2 sink pathway. In fact, other bacteria can reduce substrates using metabolic hydrogen formed during carbohydrate fermentation, namely propionate production and reductive acetogenesis, thus lowering the CH4 produced. Although the complexity of rumen poses challenges to mitigate CH4 production, the emergence of sequencing techniques that allow the study of microbial communities, gene expression, and metabolome are largely contributing to unravel pathways and key players in the rumen. Indeed, it is now recognized that in vivo emissions of CH4 are correlated to microbial communities, and particularly with the abundance of methanogens, several bacterial groups, and their genes. The goal of CH4 mitigation is to work in favor of the natural processes, without compromising rumen function, animal health, and productivity. Notwithstanding, the major challenge continues to be the feasibility and affordability of the proposed solutions.
Dynamics of indigenous community’s food and culture in the time of climate change in the Himalayan region
Authors: Das Suraj , Mishra Anindya Jayanta 
Published: January 2022

AbstractGlobal climate change has become the most significant challenge of modern times, confronting the lives and security of vulnerable societies around the world. The anticipated impact of climatic variability will be severe on local communities, particularly those residing near high-risk prone zones such as coastal areas and mountain regions. The indigenous knowledge and locally-held beliefs act as a refuge, which also prompt and prohibit the responsiveness towards climatic instabilities. Subsequently, ensuring food and nutritional security is the primary task of strategy makers. Hence, comprehensive knowledge of the indigenous traditional food habits and cultural values, beliefs, and gendered norms need to be explored on a priority basis to address the adverse impact of environmental changes, emphasizing the urgency of the Himalayan societies. Despite that, the integration of indigenous knowledge is not on the priority list of the researcher. Thus, this article reviews the existing literature on customary food habits to analyze the bidirectional association between climate change and the dietary practice of the indigenous communities for adaptation policy. PRISMA Statement technique is used for a systematic review of Scopus and Web of Science databases identified 24 related studies from 14 countries, with a specific focus on the Himalayan region, which resulted into four themes viz. impact of climatic variability of indigenous societies, the impact of climate change on community’s customary food beliefs, the impact of climate change on gender defined norms, climate change adaption strategies. The findings show that the current literature has failed to include the socio-ecological beliefs of traditional communities associated with dietary habits. Thus, the focus should be given to integrate the locally held beliefs of customary societies for the successful adoption of climate change adaptation and food security programs.
The key characteristics of project-based learning: how teachers implement projects in K-12 science education
Authors: Markula Anette , Aksela Maija 
Published: January 2022

AbstractThe aim of this multiple-case study was to research the key characteristics of project-based learning (PBL) and how teachers implement them within the context of science education. K-12 science teachers and their students’ videos, learning diaries and online questionnaire answers about their biology related PBL units, within the theme nature and environment, were analysed using deductive and inductive content analysis (n = 12 schools). The studied teachers are actively engaged in PBL as the schools had participated voluntarily in the international StarT programme of LUMA Centre Finland. The results indicate that PBL may specifically promote the use of collaboration, artefacts, technological tools, problem-centredness, and certain scientific practices, such as carrying out research, presenting results, and reflection within science education. However, it appeared that driving questions, learning goals set by students, students’ questions, the integrity of the project activities, and using the projects as a means to learn central content, may be more challenging to implement. Furthermore, although scientific practices had a strong role in the projects, it could not be defined how strongly student-led the inquiries were. The study also indicated that students and teachers may pay attention to different aspects of learning that happen through PBL. The results contribute towards a deeper understanding of the possibilities and challenges related to implementation of PBL and using scientific practices in classrooms. Furthermore, the results and the constructed framework of key characteristics can be useful in promoting research-based implementation and design of PBL science education, and in teacher training related to it.