bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gastrointestinal disorders in Parkinson’s disease and other Lewy body diseases
Authors: Hirayama Masaaki , Nishiwaki Hiroshi , Hamaguchi Tomonari , Ohno Kinji 
Published: May 2023

AbstractParkinson’s disease (PD) is pathologically characterized by the abnormal accumulation of α-synuclein fibrils (Lewy bodies) in the substantia nigra and other brain regions, although the role of Lewy bodies remains elusive. Constipation usually precedes the motor symptoms in PD, which is in accordance with the notion that α-synuclein fibrils start from the intestinal neural plexus and ascend to the brain in at least half of PD patients. The gut microbiota is likely to be involved in intestinal and brain pathologies. Analyses of the gut microbiota in PD, rapid-eye-movement sleep behavior disorder, and dementia with Lewy bodies suggest three pathological pathways. First, Akkermansia, which is increased in PD, degrades the intestinal mucus layer and increases intestinal permeability, which triggers inflammation and oxidative stress in the intestinal neural plexus. Second, decreased short-chain fatty acids (SCFAs)-producing bacteria in PD reduce the number of regulatory T cells. Third, SCFAs also aggravate microglial activation with an unelucidated pathway. In addition, in dementia with Lewy bodies (DLB), which is another form of α-synucleinopathies, increased genera, Ruminococcus torques and Collinsella, may mitigate neuroinflammation in the substantia nigra by increasing secondary bile acids. Interventions for the gut microbiota and their metabolites may potentially delay or mitigate the development and progression of PD and other Lewy body diseases.
Simultaneous transmission of hyper-entanglement in three degrees of freedom through a multicore fiber
Authors: Achatz Lukas , Bulla Lukas , Ecker Sebastian , Ortega Evelyn A. , Bartokos Michael , Alvarado-Zacarias Juan Carlos , Amezcua-Correa Rodrigo , Bohmann Martin , Ursin Rupert , Huber Marcus 
Published: May 2023

AbstractEntanglement distribution is at the heart of most quantum communication protocols. Inevitable loss of photons along quantum channels is a major obstacle for distributing entangled photons over long distances, as the no-cloning theorem forbids the information to simply be amplified along the way as is done in classical communication. It is therefore desirable for every successfully transmitted photon pair to carry as much entanglement as possible. Spontaneous parametric down-conversion (SPDC) creates photons entangled in multiple high-dimensional degrees of freedom simultaneously, often referred to as hyper-entanglement. In this work, we use a multicore fiber (MCF) to show that energy-time and polarization degrees of freedom can simultaneously be transmitted in multiple fiber cores, even maintaining path entanglement across the cores. We verify a fidelity to the ideal Bell state of at least 95% in all degrees of freedom. Furthermore, because the entangled photons are created with a center wavelength of 1560 nm, our approach can readily be integrated into modern telecommunication infrastructure, thus paving the way for high-rate quantum key distribution and many other entanglement-based quantum communication protocols.
Comprehensive prediction of immune microenvironment and hot and cold tumor differentiation in cutaneous melanoma based on necroptosis-related lncRNA
Authors: Zhang Miao , Yang Lushan , Wang Yizhi , Zuo Yuzhi , Chen Dengdeng , Guo Xing 
Published: May 2023

AbstractAs per research, causing cancer cells to necroptosis might be used as a therapy to combat cancer drug susceptibility. Long non-coding RNA (lncRNA) modulates the necroptosis process in Skin Cutaneous Melanoma (SKCM), even though the precise mechanism by which it does so has yet been unknown. RNA sequencing and clinical evidence of SKCM patients were accessed from The Cancer Genome Atlas database, and normal skin tissue sequencing data was available from the Genotype-Tissue Expression database. Person correlation analysis, differential screening, and univariate Cox regression were successively utilized to identify necroptosis-related hub lncRNAs. Following this, we adopt the least absolute shrinkage and selection operator regression analysis to construct a risk model. The model was evaluated on various clinical characteristics using many integrated approaches to ensure it generated accurate predictions. Through risk score comparisons and consistent cluster analysis, SKCM patients were sorted either high-risk or low-risk subgroups as well as distinct clusters. Finally, the effect of immune microenvironment, m7G methylation, and viable anti-cancer drugs in risk groups and potential clusters was evaluated in further detail. Included USP30-AS1, LINC01711, LINC00520, NRIR, BASP1-AS1, and LINC02178, the 6 necroptosis-related hub lncRNAs were utilized to construct a novel prediction model with excellent accuracy and sensitivity, which was not influenced by confounding clinical factors. Immune-related, necroptosis, and apoptosis pathways were enhanced in the model structure, as shown by Gene Set Enrichment Analysis findings. TME score, immune factors, immune checkpoint-related genes, m7G methylation-related genes, and anti-cancer drug sensitivity differed significantly between the high-risk and low-risk groups. Cluster 2 was identified as a hot tumor with a better immune response and therapeutic effect. Our study may provide potential biomarkers for predicting prognosis in SKCM and provide personalized clinical therapy for patients based on hot and cold tumor classification.
Pancreatic β-cell glutaminase 2 maintains glucose homeostasis under the condition of hyperglycaemia
Authors: Deguchi-Horiuchi Hanna , Suzuki Sawako , Lee Eun Young , Miki Takashi , Yamanaka Noriko , Manabe Ichiro , Tanaka Tomoaki , Yokote Koutaro 
Published: May 2023

AbstractGlutaminase 2 (GLS2), a master regulator of glutaminolysis that is induced by p53 and converts glutamine to glutamate, is abundant in the liver but also exists in pancreatic β-cells. However, the roles of GLS2 in islets associated with glucose metabolism are unknown, presenting a critical issue. To investigate the roles of GLS2 in pancreatic β-cells in vivo, we generated β-cell-specific Gls2 conditional knockout mice (Gls2 CKO), examined their glucose homeostasis, and validated the findings using a human islet single-cell analysis database. GLS2 expression markedly increased along with p53 in β-cells from control (RIP-Cre) mice fed a high-fat diet. Furthermore, Gls2 CKO exhibited significant diabetes mellitus with gluconeogenesis and insulin resistance when fed a high-fat diet. Despite marked hyperglycaemia, impaired insulin secretion and paradoxical glucagon elevation were observed in high-fat diet-fed Gls2 CKO mice. GLS2 silencing in the pancreatic β-cell line MIN6 revealed downregulation of insulin secretion and intracellular ATP levels, which were closely related to glucose-stimulated insulin secretion. Additionally, analysis of single-cell RNA-sequencing data from human pancreatic islet cells also revealed that GLS2 expression was elevated in β-cells from diabetic donors compared to nondiabetic donors. Consistent with the results of Gls2 CKO, downregulated GLS2 expression in human pancreatic β-cells from diabetic donors was associated with significantly lower insulin gene expression as well as lower expression of members of the insulin secretion pathway, including ATPase and several molecules that signal to insulin secretory granules, in β-cells but higher glucagon gene expression in α-cells. Although the exact mechanism by which β-cell-specific GLS2 regulates insulin and glucagon requires further study, our data indicate that GLS2 in pancreatic β-cells maintains glucose homeostasis under the condition of hyperglycaemia.
Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures
Authors: Husain Syed Sameed , Ong Eng-Jon , Minskiy Dmitry , Bober-Irizar Mikel , Irizar Amaia , Bober Miroslaw 
Published: May 2023

AbstractUnravelling protein distributions within individual cells is vital to understanding their function and state and indispensable to developing new treatments. Here we present the Hybrid subCellular Protein Localiser (HCPL), which learns from weakly labelled data to robustly localise single-cell subcellular protein patterns. It comprises innovative DNN architectures exploiting wavelet filters and learnt parametric activations that successfully tackle drastic cell variability. HCPL features correlation-based ensembling of novel architectures that boosts performance and aids generalisation. Large-scale data annotation is made feasible by our AI-trains-AI approach, which determines the visual integrity of cells and emphasises reliable labels for efficient training. In the Human Protein Atlas context, we demonstrate that HCPL is best performing in the single-cell classification of protein localisation patterns. To better understand the inner workings of HCPL and assess its biological relevance, we analyse the contributions of each system component and dissect the emergent features from which the localisation predictions are derived.
Weather anomalies more important than climate means in driving insect phenology
Authors: Guralnick R. P. , Campbell L. P. , Belitz M. W. 
Published: May 2023

AbstractStudies of long-term trends in phenology often rely on climatic averages or accumulated heat, overlooking climate variability. Here we test the hypothesis that unusual weather conditions are critical in driving adult insect phenology. First, we generate phenological estimates for Lepidoptera (moths and butterflies) across the Eastern USA, and over a 70 year period, using natural history collections data. Next, we assemble a set of predictors, including the number of unusually warm and cold days prior to, and during, the adult flight period. We then use phylogenetically informed linear mixed effects models to evaluate effects of unusual weather events, climate context, species traits, and their interactions on flight onset, offset and duration. We find increasing numbers of both warm and cold days were strong effects, dramatically increasing flight duration. This strong effect on duration is likely driven by differential onset and termination dynamics. For flight onset, impact of unusual climate conditions is dependent on climatic context, but for flight cessation, more unusually cold days always lead to later termination particularly for multivoltine species. These results show that understanding phenological responses under global change must account for unusual weather events, especially given they are predicted to increase in frequency and severity.
African biomass burning affects aerosol cycling over the Amazon
Authors: Holanda Bruna A. , Franco Marco A. , Walter David , Artaxo Paulo , Carbone Samara , Cheng Yafang , Chowdhury Sourangsu , Ditas Florian , Gysel-Beer Martin , Klimach Thomas , Kremper Leslie A. , Krüger Ovid O. , Lavric Jost V. , Lelieveld Jos , Ma Chaoqun , Machado Luiz A. T. , Modini Robin L. , Morais Fernando G. , Pozzer Andrea , Saturno Jorge , Su Hang , Wendisch Manfred , Wolff Stefan , Pöhlker Mira L. , Andreae Meinrat O. , Pöschl Ulrich , Pöhlker Christopher 
Published: May 2023

AbstractSmoke from vegetation fires affects air quality, atmospheric cycling, and the climate in the Amazon rain forest. A major unknown has remained the quantity of long-range transported smoke from Africa in relation to local and regional fire emissions. Here we quantify the abundance, seasonality, and properties of African smoke in central Amazonia. We show that it accounts for ~ 60% of the black carbon concentrations during the wet season and ~ 30% during the dry season. The African smoke influences aerosol-radiation interactions across the entire Amazon, with the strongest impact on the vulnerable eastern basin, a hot spot of climate and land use change. Our findings further suggest that the direct influence of African smoke has been historically relevant for soil fertilization, the carbon and water cycles, and, thus, the development of the Amazon forest ecosystem, even in the pre-industrial era.
Correlations Between Stuttering Severity and Satisfaction With Life, Self-Acceptance, Self-Compassion, and Avoidance in People Who Stutter: Variability by Sources of Support
Authors: Plexico Laura W. , Erath Stephen A. 
Published: May 2023

Purpose:
The primary purpose of this study was to evaluate correlations between stuttering severity and satisfaction with life (SWL), self-acceptance (SA), self-compassion (SC), and avoidance among people who stutter (PWS) and did seek support or did not seek support from family, friends, and the National Stuttering Association (NSA).

Method:
This study surveyed 47 self-identified PWS from a larger study in order to obtain information on background, avoidance, SA, SWL, and SC. Correlation analyses were used to examine concurrent associations.

Results:
Stuttering severity was significantly correlated with lower SA and higher avoidance among PWS who did not seek support from friends. Stuttering severity was not significantly correlated with lower SA, lower SC, or higher avoidance among PWS who sought support from friends or family. However, correlations between stuttering severity and lower SWL were similarly strong and significant among PWS who did and did not seek support from friends and from family. Stuttering severity was significantly correlated with lower SA and lower SWL among PWS who sought support from the NSA, but not correlated with these variables among PWS who did not seek support from the NSA.

Conclusions:
Correlations between greater stuttering severity and lowered SWL, SA, SC, and increased avoidance were not reduced with presence of formal support (i.e., NSA) but were nonsignificant with support from friends in some cases. Additional research is needed to address why a person is more or less likely to seek support and the impact support has on the life of the person. The clinical implications involve determining help-seeking behavior and the potential barriers to help-seeking.
Study on the model of university-enterprise cooperation in cultivating applied mining engineering graduates
Authors: Wei Zhongju , Yu Fangfang , Yang Junwei 
Published: May 2023

Due to society's biased perception of coal enterprises, Mining Engineering students’ cultivation faces problems such as students' unwillingness to engage in mining work and the decoupling of graduates' abilities from job demands. The teaching and research team conducted in-depth research and exploration on the cultivation model of applied mining engineering professionals, and constructed a university-enterprise cooperation model for talent cultivation guided by the spirit of "hard work, innovation, unity and selflessness." This model effectively solves the bottleneck of mining engineering talent cultivation in local colleges and universities and meets the new requirements of the current era's development. After years of exploration and practice, mining engineering students not only love enterprises but also significantly improve their comprehensive innovation abilities.
Coal is an important guarantee of energy security, and energy enterprises urgently need a large number of applied technical and management talents who love their jobs and can adapt to the needs of modern industry development. However, the talent cultivation of mining engineering majors has faced problems such as the decoupling of graduates' abilities from job demands due to society's biased perception of coal enterprises [1]. The teaching and research team adheres to the educational philosophy of "demand-oriented, student-centered, and quality-based" and conducts in-depth research and exploration on the talent cultivation model of applied mining engineering professionals. With the establishment and practice of the practical teaching system for cultivating applied mining engineering talents and the construction of an intelligent mining engineering course system for regional coal industry transformation needs, the team has constructed a university-enterprise cooperation model for talent cultivation guided by the spirit of "hard work, innovation, unity, and selflessness."
The Use of Bypassing Treatment Strategies in Hemophilia and Their Effect on Laboratory Testing
Authors: Pruthi Rajiv K. , Chen Dong 
Published: May 2023

AbstractFactor VIII and IX inhibitors in congenital hemophilia A and B, respectively, neutralize the infused coagulation factor concentrate rendering them ineffective. Bypassing agents (BPAs) that circumvent the block imposed by the inhibitors are used for the prevention and management of bleeding. Activated prothrombin complex concentrate was the original BPA, recombinant activated factor VII was then introduced, and more recently nonfactor agents that target the procoagulant and anticoagulant systems have been developed and are in clinical use (e.g., emicizumab, a bispecific antibody for hemophilia A). Other BPAs are in clinical trials (e.g., fitusiran targets antithrombin, concizumab and marstacimab target tissue factor pathway inhibitor, and SerpinPC targets activated protein C). The BPAs have a varied effect on coagulation assays, and as more patients are exposed to these agents, it is important to be aware of the effects. Herein, we present an overview of the effect of BPAs on routine and specialized coagulation assays including thrombin generation and viscoelastic assays.
The role of peers in promoting energy conservation among Chinese university students
Authors: Lin Boqiang , Jia Huanyu 
Published: May 2023

AbstractGuiding individuals to adopt pro-environmental behaviors is critical to achieving carbon neutrality goals. Public policy targeted at a small number of people may be amplified by interpersonal interaction, making peer effect a potentially useful tool for accelerating problem solving. However, previous studies have paid insufficient attention to the influence of peers on university students’ energy-saving behaviors. This paper attempts to examine the effect using a large-scale survey dataset conducted on students from Xiamen University in China and the classical linear-in-means model. The result shows that peers’ pro-environmental behaviors have positive effect on individuals. The heterogeneity of the influence and the potential mechanisms are also explored. This paper contributes to very important and still growing literature dealing with contagion processes in pro-environmental behaviors. The policy implication is that the government should make full use of the peer effect to maximize the benefits of energy-conservation campaigns.
Dimensions of wellbeing and recognitional justice of migrant workers during the COVID-19 lockdown in Kerala, India
Authors: Mathews Mishal Alice , De Neve Geert , Ayeb-Karlsson Sonja 
Published: May 2023

AbstractThe lockdown of March 2020 in India witnessed one of the largest movements of migrants in the country. The state of Kerala was quick and efficient in responding to the challenges posed by the lockdown on its migrant population and in supporting its ‘guest workers’. While many studies have researched the material resources of migrants during the pandemic, such as income and food, few have investigated the subjective measures and emphasised the lived experiences of migrant workers. Drawing on the Wellbeing in Developing Countries (WeD) approach which examines three dimensions of wellbeing, namely, (a) material, (b) relational and (c) subjective wellbeing, this article focuses on the mental health and wellbeing experiences of migrant workers during the first lockdown in Kerala. By deploying these wellbeing dimensions, the study looks at how migrant workers perceived and experienced the various interventions put in place by state and local governments, as well as voluntary initiatives aimed at supporting them. The study elaborates around migrants’ relations of love, care, and trust, and their reasons to remain in Kerala or return home during the lockdown. The study found that a paradigm shift, where ‘migrant workers’ are becoming ‘guest workers’, was at the forefront of the captured narratives. The key findings in this way contribute to the understanding of migrants’ lived experiences, wellbeing, and perceptions of the different lockdown interventions. We argue that an increased attention to subjective factors helps us understand migrant needs at times of crisis through their lived experiences and thereby enhances policy planning for disaster preparedness.
Does commerce promote theft? A quantitative study from Beijing, China
Authors: Jiang Yutian , Zhang Na 
Published: May 2023

AbstractCommerce, as both an environmental and a social factor, is essential to the study of the causes of urban crimes. This paper aims to comprehensively propose research hypotheses based on these two types of commercial factors and optimise statistical tools with which to analyse commerce’s impact on the level of theft in Beijing. Combining criminal verdicts, census data, points of interest, and information on nighttime lighting, this paper first applies a hierarchical regression model to verify the effectiveness of using commercial environmental and social factors to explain theft statistics and then constructs a structural equation model to analyse the joint influence of multiple commercial factors on those statistics. This paper finds that Beijing’s commerce does not significantly promote theft, verifies the effectiveness of two types of commercial variables and the corresponding Western theories in explaining commerce’s impact on theft in Beijing, and provides empirical data for the study of the causes of theft in a non-Western context.
Leaf formononetin content of Trifolium subterraneum increases in response to waterlogging but its proportion of total isoflavones is little changed
Authors: Enkhbat Gereltsetseg , Foster Kevin J. , Nichols Phillip G. H. , Erskine William , Inukai Yoshiaki , Ryan Megan H. 
Published: May 2023

The isoflavone formononetin (F) impacts livestock fertility and cultivars of the pasture legume Trifolium subterraneum L. (subclover) have been selected for F levels ≤0.2% of leaf dry weight. However, the impact of waterlogging (WL) on isoflavones is little studied. We investigated the response of isoflavones, biochanin A (BA), genistein (G) and F, to WL for: (1) Yarloop (high F) and eight low F cultivars each from subspecies subterraneum, brachycalycinum and yanninicum (Experiment 1); and (2) four cultivars and 12 ecotypes of ssp. yanninicum (Experiment 2). WL impacted F: estimated means increased from 0.19% (control) to 0.31% (WL) in Experiment 1 and from 0.61% to 0.97% in Experiment 2. Isoflavones under WL were highly heritable, particularly F (H2 = 95%). The proportions of BA, G and F were little changed by WL, with strong positive correlations between free-drained and waterlogged treatments. Isoflavone contents were not related to WL tolerance, as assessed by shoot relative growth rate. In conclusion, isoflavones varied among genotypes and increased with WL, but the proportion of individual isoflavones in each genotype was stable. High F under WL was unrelated with genotype tolerance to WL. Instead, it was a consequence of inherently high F for that particular genotype.
A terminological problem
Authors: Bauer Laurie 
Published: May 2023

Abstract
The term “Humboldt’s Universal”, introduced to linguistics in the 1970s, appears to be synonymous with a number of other
expressions, some of which are also used to denote different phenomena (e.g. isomorphism). In this paper, the extent of the terminological
problem is highlighted, and a plea is made for explanation of how the term is to be understood in the work of individual authors.