bluuebunny/crossref_metadata_2025_split huggingface dataset:
What are the Key Determinants of Child Malnutrition in India? Empirical Evidence from NFHS-4
Authors: Seth Payal , Jain Palakh 
Published: March 2023

India hosts the highest number of malnourished children in the world. Tackling this challenge requires urgent implementation of targeted policies. However, the current research is not clear on which specific interventions the policymakers should undertake to yield the biggest improvement in child malnutrition in India. Hence, our study aims to contribute to the existing literature by using a novel regression decomposition technique, called the Shapley–Owen decomposition which can estimate the relative contribution of the factors influencing malnutrition. Using the NFHS-4 data, we classify the drivers of child undernutrition (besides age and gender) into different groups, such as infections and medicines, birth characteristics, food intake, child’s environment, mother’s anthropometry, her characteristics, environment, and socio-economic factors. The decomposition informs us that the child’s age and the mother’s anthropometry are the most important determinants of child height and weight outcomes (respectively). This means that access to adequate nutritional provision during the early years of the child’s life is critical to reducing the burden of malnutrition in India. Further, targeting young girls as the beneficiaries of the welfare schemes will improve their anthropometry, which will ensure healthier children in the future. Given the rising challenge of malnutrition in India, there has been a push to enhance investment in a combination of interventions that ensure optimal food intake, its absorption, adequate sanitation, betterment of maternal nutrition as well as education and access to social safety nets. It is in this context that our study is among the first to provide rigorous econometric analysis to determine which among these is the most important. Hence, this guides policymakers to the specific sectors they could target to improve the nutritional well-being of children in India. JEL Codes: C01, D69, I15, I30, O20, P46
Implementation of clinical guidelines in specialized palliative care—results from a national improvement project: A national register-based study
Authors: Rojas-Concha Leslye , Hansen Maiken Bang , Adsersen Mathilde , Petersen Morten Aagaard , Groenvold Mogens 
Published: March 2023

Background: Knowledge about the process and the results of the implementation of clinical guidelines to improve palliative care is limited. A national project aimed at improving the quality of life of advanced cancer patients admitted to specialized palliative care services in Denmark by implementing clinical guidelines for the treatment of pain, dyspnea, constipation, and depression. Aim: To investigate the degree of clinical guideline implementation by evaluating the proportion of patients treated according to guidelines among those who qualified (i.e. reported severe symptom level) before and after the 44 palliative care services implemented the guidelines, and how often different types of interventions were provided. Design: This is a national register-based study. Setting/participants: Data from the improvement project were stored in and later obtained from the Danish Palliative Care Database. Adult patients with advanced cancer admitted to palliative care between September 2017 and June 2019 who answered the EORTC QLQ-C15-PAL questionnaire were included. Results: In total 11,330 patients answered the EORTC QLQ-C15-PAL. The proportions of services that implemented the four guidelines ranged 73%–93%. Among services that had implemented guidelines, the proportion of patients receiving interventions was roughly constant over time reaching between 54% and 86% (lowest for depression). Pain and constipation were frequently treated pharmacologically (66%–72%), whereas dyspnea and depression were frequently treated non-pharmacologically (61% each). Conclusions: Implementing clinical guidelines was more successful for physical symptoms than for depression. The project generated national data on interventions provided when guidelines were followed, which may be used to understand differences in care and outcomes.
Investigation of self-treatment with lysergic acid diethylamide and psilocybin mushrooms: Findings from the Global Drug Survey 2020
Authors: Kopra Emma I , Ferris Jason A , Winstock Adam R , Kuypers Kim PC , Young Allan H , Rucker James J 
Published: March 2023

Background: Growing numbers of people are using psychedelics for personal psychotherapy outside clinical settings, but research on such use is scarce. Aims: This study investigated the patterns of use, self-reported outcomes and outcome predictors of psychedelic ‘self-treatment’ of mental health conditions or specific worries/concerns in life. Methods: We use data from the Global Drug Survey 2020, a large online survey on drug use collected between November 2019 and February 2020. In all, 3364 respondents reported their self-treatment experiences with lysergic acid diethylamide ( N = 1996) or psilocybin mushrooms ( N = 1368). The primary outcome of interest was the 17-item self-treatment outcome scale, items reflecting aspects of well-being, psychiatric symptoms, social-emotional skills, and health behaviours. Results: Positive changes were observed across all 17 outcome items, with the strongest benefits on items related to insight and mood. Negative effects were reported by 22.5% of respondents. High intensity of psychedelic experience, seeking advice before treatment, treating with psilocybin mushrooms and treating post-traumatic stress disorder were associated with higher scores on the self-treatment outcome scale after averaging values across all 17 items. Younger age, high intensity of experience and treating with LSD were associated with increased number of negative outcomes. Conclusions: This study brings important insights into self-treatment practices with psychedelics in a large international sample. Outcomes were generally favourable, but negative effects appeared more frequent than in clinical settings. Our findings can help inform safe practices of psychedelic use in the community, and inspire clinical research. Future research can be improved with utilisation of prospective designs and additional predictive variables.
Laser sintering of polyether sulfone/carbon black composite powders using near-infrared laser
Authors: Meng Deyu , Guo Yanling , Li Jian , Guo Shuai 
Published: March 2023

Low-cost miniaturized laser sintering equipment remains lacking at present; therefore, the development of laser sintering technology and its widespread applications are significantly hindered. Traditional laser sintering equipment is composed of a carbon dioxide laser, water cooling system, powder-box-heating device, and thermal insulation device. Such requirements are the main factors limiting the miniaturization and economic efficiency of laser sintering equipment. Herein, a laser-sintered material was fabricated by sintering using a near-infrared laser light source with a wavelength of 1064 nm without heating, and its microstructure and properties were systematically studied. Polyether sulfone (PES) and carbon black (CB) powders were selected as the raw materials for preparing PES/CB composites by mechanical mixing. For synthesizing the PES/CB composite powders, the CB powder content was varied within the range of 0.25%–1.5%. The PES/CB powders with different component ratios were subjected to laser sintering treatment, and the corresponding microstructural evolutions of the sintered parts were analyzed. The effects of different component ratios on the mechanical properties and dimensional accuracy of the sintered part were investigated, and the optimal content of CB powders of the PES/CB composite material was determined. Additionally, the effects of laser power (10–18 W), scanning speed (1200–1600 mm/s), and scanning spacing (0.04–0.08 mm) on the forming quality of the sintered parts of the PES/CB composite powders were evaluated. The processing parameters of the laser sintering of PES/CB composite powders were explored using orthogonal experimental tests and optimized using the comprehensive weighted method.
Context effects in the L2: Evidence for compensatory mechanisms
Authors: Norman Tal , Degani Tamar 
Published: March 2023

Aims and objectives: We examined how context is used to facilitate reading in the second language (L2) compared with the first language (L1), and how L2 availability and age modulate these context effects. Methodology: Using self-paced reading, participants read high- and low-constraint Hebrew sentences. In Experiment 1, L1 ( n = 45) and L2 ( n = 48) Hebrew readers were compared, whereas in Experiment 2, only L2 readers ( n = 131) were examined, testing modulations by L2 availability and age. Data and analysis: Reading times of target, post target, and sentence final words were analyzed using linear-mixed-effects models. Findings: In Experiment 1, L2 readers differed from L1 readers in contextual processing, as evident in the significant interaction between context type and language background on the final word measure. In Experiment 2, L2 readers with lower L2 availability scores differed from those with higher scores, and younger readers differed from older ones, in the way high- and low-constraining context affected their reading behavior in the target word and in the final word of the sentence. These differences were indicated by significant interactions between context type and L2 availability as well as between context type and age group. These findings are best understood under a compensatory processing account. Originality: By complementing L1–L2 group comparisons with in-depth examination of the L2 profile, the current study reveals a continuous effect of L2 availability, such that a lower L2 availability is associated with a greater reliance on context. Furthermore, the inclusion of older and younger adults provides converging evidence to the use of contextual support as a compensatory mechanism when lexical processing is more effortful.
Ethnic differences in stroke outcomes in Aotearoa New Zealand: A national linkage study
Authors: Denison Hayley J , Corbin Marine , Douwes Jeroen , Thompson Stephanie G , Harwood Matire , Davis Alan , Fink John N , Barber P Alan , Gommans John H , Cadilhac Dominique A , Levack William , McNaughton Harry , Kim Joosup , Feigin Valery L , Abernethy Virginia , Girvan Jackie , Wilson Andrew , Ranta Anna 
Published: March 2023

Background: Ethnic differences in post-stroke outcomes have been largely attributed to biological and socioeconomic characteristics resulting in differential risk factor profiles and stroke subtypes, but evidence is mixed. Aims: This study assessed ethnic differences in stroke outcome and service access in New Zealand (NZ) and explored underlying causes in addition to traditional risk factors. Methods: This national cohort study used routinely collected health and social data to compare post-stroke outcomes between NZ Europeans, Māori, Pacific Peoples, and Asians, adjusting for differences in baseline characteristics, socioeconomic deprivation, and stroke characteristics. First and principal stroke public hospital admissions during November 2017 to October 2018 were included (N = 6879). Post-stroke unfavorable outcome was defined as being dead, changing residence, or becoming unemployed. Results: In total, 5394 NZ Europeans, 762 Māori, 369 Pacific Peoples, and 354 Asians experienced a stroke during the study period. Median age was 65 years for Māori and Pacific Peoples, and 71 and 79 years for Asians and NZ Europeans, respectively. Compared with NZ Europeans, Māori were more likely to have an unfavorable outcome at all three time-points (odds ratio (OR) = 1.6 (95% confidence interval (CI) = 1.3–1.9); 1.4 (1.2–1.7); 1.4 (1.2–1.7), respectively). Māori had increased odds of death at all time-points (1.7 (1.3–2.1); 1.5 (1.2–1.9); 1.7 (1.3–2.1)), change in residence at 3 and 6 months (1.6 (1.3–2.1); 1.3 (1.1–1.7)), and unemployment at 6 and 12 months (1.5 (1.1–2.1); 1.5 (1.1–2.1)). There was evidence of differences in post-stroke secondary prevention medication by ethnicity. Conclusion: We found ethnic disparities in care and outcomes following stroke which were independent of traditional risk factors, suggesting they may be attributable to stroke service delivery rather than patient factors.
Self-care Management in Heart Failure Using Roy Adaptation Theory-guided Intervention in the United Arab Emirates
Authors: Roussia Soufiane , Muthu Priyalatha , Ilesanmi Rose Ekama 
Published: March 2023

Purpose To assess the knowledge and practice of self-care management among patients with heart failure (HF) after Roy adaptation theory-guided educational program. Methodology One group quasi-experimental pretest–posttest design of 30 purposively selected patients with HF was conducted. Outcomes were examined under three domains: knowledge, self-care maintenance, and monitoring pre- and post-intervention, using a validated instrument based on four adaptive modes of Roy's theory. Major results Most of the respondents were male (76.6%) and 56.7% were over 60 years of age. At the pretest, only 16.7% demonstrated adequate knowledge of self-care, and 76.7% reported poor practices in the domains of self-care maintenance and monitoring. Also, 90% scored poorly in self-care management. Knowledge of self-care practices increased at post-test (93.3%). There was a significant difference in knowledge ( t = 15.79, df = 29, p < .001) and practice ( t = 9.35, df = 29, p < .001) pre- and post-intervention. However, there was no significant association between selected demographic characteristics, knowledge, and self-care practice ( p > .05). Conclusion Knowledge and practice of self-care management are poor among patients with HF. However, theory-driven practice can enhance care and patients’ quality of life.
3D genomics and its applications in precision medicine
Authors: Chen Mengjie , Liu Xingyu , Liu Qingyou , Shi Deshun , Li Hui 
Published: March 2023

AbstractThree-dimensional (3D) genomics is an emerging discipline that studies the three-dimensional structure of chromatin and the three-dimensional and functions of genomes. It mainly studies the three-dimensional conformation and functional regulation of intranuclear genomes, such as DNA replication, DNA recombination, genome folding, gene expression regulation, transcription factor regulation mechanism, and the maintenance of three-dimensional conformation of genomes. Self-chromosomal conformation capture (3C) technology has been developed, and 3D genomics and related fields have developed rapidly. In addition, chromatin interaction analysis techniques developed by 3C technologies, such as paired-end tag sequencing (ChIA-PET) and whole-genome chromosome conformation capture (Hi-C), enable scientists to further study the relationship between chromatin conformation and gene regulation in different species. Thus, the spatial conformation of plant, animal, and microbial genomes, transcriptional regulation mechanisms, interaction patterns of chromosomes, and the formation mechanism of spatiotemporal specificity of genomes are revealed. With the help of new experimental technologies, the identification of key genes and signal pathways related to life activities and diseases is sustaining the rapid development of life science, agriculture, and medicine. In this paper, the concept and development of 3D genomics and its application in agricultural science, life science, and medicine are introduced, which provides a theoretical basis for the study of biological life processes.
RGT: a toolbox for the integrative analysis of high throughput regulatory genomics data
Authors: Li Zhijian , Kuo Chao-Chung , Ticconi Fabio , Shaigan Mina , Gehrmann Julia , Gusmao Eduardo Gade , Allhoff Manuel , Manolov Martin , Zenke Martin , Costa Ivan G. 
Published: March 2023

Abstract
Background
Massive amounts of data are produced by combining next-generation sequencing with complex biochemistry techniques to characterize regulatory genomics profiles, such as protein–DNA interaction and chromatin accessibility. Interpretation of such high-throughput data typically requires different computation methods. However, existing tools are usually developed for a specific task, which makes it challenging to analyze the data in an integrative manner.

Results
We here describe the Regulatory Genomics Toolbox (RGT), a computational library for the integrative analysis of regulatory genomics data. RGT provides different functionalities to handle genomic signals and regions. Based on that, we developed several tools to perform distinct downstream analyses, including the prediction of transcription factor binding sites using ATAC-seq data, identification of differential peaks from ChIP-seq data, and detection of triple helix mediated RNA and DNA interactions, visualization, and finding an association between distinct regulatory factors.

Conclusion
We present here RGT; a framework to facilitate the customization of computational methods to analyze genomic data for specific regulatory genomics problems. RGT is a comprehensive and flexible Python package for analyzing high throughput regulatory genomics data and is available at: https://github.com/CostaLab/reg-gen. The documentation is available at: https://reg-gen.readthedocs.io
coda4microbiome: compositional data analysis for microbiome cross-sectional and longitudinal studies
Authors: Calle M. Luz , Pujolassos Meritxell , Susin Antoni 
Published: March 2023

AbstractBackgroundOne of the main challenges of microbiome analysis is its compositional nature that if ignored can lead to spurious results. Addressing the compositional structure of microbiome data is particularly critical in longitudinal studies where abundances measured at different times can correspond to different sub-compositions.ResultsWe developedcoda4microbiome, a new R package for analyzing microbiome data within the Compositional Data Analysis (CoDA) framework in both, cross-sectional and longitudinal studies. The aim ofcoda4microbiomeis prediction, more specifically, the method is designed to identify a model (microbial signature) containing the minimum number of features with the maximum predictive power. The algorithm relies on the analysis of log-ratios between pairs of components and variable selection is addressed through penalized regression on the “all-pairs log-ratio model”, the model containing all possible pairwise log-ratios. For longitudinal data, the algorithm infers dynamic microbial signatures by performing penalized regression over the summary of the log-ratio trajectories (the area under these trajectories). In both, cross-sectional and longitudinal studies, the inferred microbial signature is expressed as the (weighted) balance between two groups of taxa, those that contribute positively to the microbial signature and those that contribute negatively. The package provides several graphical representations that facilitate the interpretation of the analysis and the identified microbial signatures. We illustrate the new method with data from a Crohn's disease study (cross-sectional data) and on the developing microbiome of infants (longitudinal data).Conclusionscoda4microbiomeis a new algorithm for identification of microbial signatures in both, cross-sectional and longitudinal studies. The algorithm is implemented as an R package that is available at CRAN (https://cran.r-project.org/web/packages/coda4microbiome/) and is accompanied with a vignette with a detailed description of the functions. The website of the project contains several tutorials:https://malucalle.github.io/coda4microbiome/
Genomic and evolutionary relationships among wild and cultivated blueberry species
Authors: Manzanero Byron R. , Kulkarni Krishnanand P. , Vorsa Nicholi , Reddy Umesh K. , Natarajan Purushothaman , Elavarthi Sathya , Iorizzo Massimo , Melmaiee Kalpalatha 
Published: March 2023

Abstract
Background
Blueberries (Vaccinium section Cyanococcus) are an economically important fruit crop in the United States. Understanding genetic structure and relationships in blueberries is essential to advance the genetic improvement of horticulturally important traits. In the present study, we investigated the genomic and evolutionary relationships in 195 blueberry accessions from five species (comprising 33 V. corymbosum, 14 V. boreale, 81 V. darrowii, 29 V. myrsinites, and 38 V. tenellum) using single nucleotide polymorphisms (SNPs) mined from genotyping-by-sequencing (GBS) data.

Results
GBS generated ~ 751 million raw reads, of which 79.7% were mapped to the reference genome V. corymbosum cv. Draper v1.0. After filtering (read depth > 3, minor allele frequency > 0.05, and call rate > 0.9), 60,518 SNPs were identified and used in further analyses. The 195 blueberry accessions formed three major clusters on the principal component (PC) analysis plot, in which the first two PCs accounted for 29.2% of the total genetic variance. Nucleotide diversity (π) was highest for V. tenellum and V. boreale (0.023 each), and lowest for V. darrowii (0.012). Using TreeMix analysis, we identified four migration events and deciphered gene flow among the selected species. In addition, we detected a strong V. boreale lineage in cultivated blueberry species. Pairwise SweeD analysis identified a wide sweep (encompassing 32 genes) as a strong signature of domestication on the scaffold VaccDscaff 12. From this region, five genes encoded topoisomerases, six genes encoded CAP-gly domain linker (which regulates the dynamics of the microtubule cytoskeleton), and three genes coded for GSL8 (involved in the synthesis of the cell wall component callose). One of the genes, augustus_masked-VaccDscaff12-processed-gene-172.10, is a homolog of ArabidopsisAT2G25010 and encodes the protein MAINTENANCE OF MERISTEMS-like involved in root and shoot growth. Additional genomic stratification by admixture analysis identified genetic lineages and species boundaries in blueberry accessions. The results from this study indicate that V. boreale is a genetically distant outgroup, while V. darrowii, V. myrsinites, and V. tenellum are closely related.

Conclusion
Our study provides new insights into the evolution and genetic architecture of cultivated blueberries.