bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heparin anticoagulant reduces mortality in patients with cardiac arrest: A retrospective cohort study from the eICU database
Authors: Wang Yan , Zhang Jing , Lu Miao , Xu Chi , Zhang Jiaming , Zhang Yun 
Published: May 2024

Abstract

Background Improving the survival rate of patients with cardiac arrest (CA) remains a major challenge. This study is aimed at investigating the effects of treatment with heparin anticoagulants, including unfractionated heparin (UFH) and low-molecular-weight heparin (LMWH), on hospitalized patients with CA. Methods Electronic intensive care unit (eICU) data of patients diagnosed with CA were retrospectively analysed. Propensity score matching (PSM) was performed between alive and expired groups. Univariate and multivariate logistic regression analyses were performed to identify risk factors influencing ICU and hospital mortality among these patients. They were also performed on matched data to determine the effect of anticoagulants on mortality risk. Clinical outcomes were compared between anticoagulant and non-anticoagulant groups after PSM. Subgroup analyses were performed to assess differences in anticoagulant effect. Log-rank tests were performed to evaluate the influence of anticoagulants versus non-anticoagulants and UFH versus LMWH on mortality rates and hospital stay length. Results This study included 5,858 patients (3,445 men; average age of 64.23 ± 15.88 years), of whom 2,866 died. Among the deceased, 969 (16.54%) received anticoagulant treatment. Multivariate logistic regression analysis revealed an association between the anticoagulants and a protective effect against ICU and hospital mortality, persisting after PSM. The anticoagulant group exhibited significantly lower ICU and hospital mortality rates than the non-anticoagulant group (P < 0.01) before and after PSM. Subgroup analysis demonstrated that anticoagulant therapy provided better protection in individuals not receiving antiplatelet therapy and without acute coronary syndrome. No significant differences in ICU or hospital mortality were observed between UFH and LMWH groups (P > 0.05). Conclusions Heparin anticoagulant treatment reduces mortality rate and prolongs survival time among patients experiencing CA.
Health status Monitoring of cutting arm of Anchor excavator based on Digital Twin
Authors: LIU Zhixiang , LI Zhenyu , ZOU Kang , XIE Chunxue 
Published: May 2024

Abstract

Considering that the traditional finite element method takes a long time to calculate and can not meet the real-time stress analysis of complex equipment such as anchor-digging machine, this paper takes the cutting mechanism of anchor-digging machine as the research object. in this paper, a fast analysis method of mechanical characteristics based on digital twinning is proposed, and this method is combined with digital twinning technology. In this paper, a digital twin model is established, which can be used to analyze the real-time mechanical characteristics of the cutting arm of the excavating and anchoring machine. Firstly, based on dimensional analysis and similarity principle, the simulation model of cutting mechanism test-bed of anchor-digging machine is established, and the model is used in finite element simulation and digital twin model. Secondly, the finite element analysis of the cutting arm of the integrated digging and anchoring machine is carried out, and the finite element calculation results are evaluated. Then, a fast analysis method of mechanical characteristics of cutting mechanism of anchor-digging integrated machine based on agent model is put forward, and an agent model for mechanical characteristic analysis of anchor-digging integrated machine is established. After verifying the fitting accuracy of the surrogate model, the established surrogate model is applied to analyze the mechanical characteristics of the cutting arm of the integrated digging and anchoring machine, and the necessary evaluation of the analysis results is made. Finally, the agent model of rapid analysis of mechanical characteristics is applied to the digital twin model, and the digital twin monitoring platform of cutting mechanism of anchor-digging machine is built in Unity, which realizes the real-time mechanical characteristic analysis, real-time residual life analysis and health monitoring of the cutting mechanism of anchor-digging machine.
Protocol of a nation-wide post-bereavement survey on quality of hospice and palliative care: J-HOPE 5 study
Authors: Aoyama Maho , Mori Masanori , Morita Tatsuya , Tsuneto Satoru , Miyashita Mitsunori 
Published: May 2024

Abstract

Background:
Maintaining quality of care and improving the quality of life (QOL) of patients and their families are important issues in palliative care. Therefore, there is a need to continuously evaluate the quality and outcomes of the care provided. In Japan, the Japan hospice and palliative evaluation (J-HOPE) study series has been conducted every three to four years since 2010, and we will conduct the fifth J-HOPE study (J-HOPE5). In the present paper, we describe the protocol of the J-HOPE5 study. The main objectives are: 1) to evaluate the processes, structures and outcomes of care at hospices or palliative care units; 2) to examine bereaved family members' self-reported psychosocial condition, such as grief and depression as bereavement outcomes; 3) to provide data to ensure and improve the quality of care provided by participating institutions via feedback based on the results from each institution; and 4) to provide clinical and academic information regarding the implications of various issues in palliative care by conducting specific research.
Methods:
We will conduct a cross-sectional, anonymous, self-reported questionnaire survey. In total, 153 institutions have agreed to participate in this study, meaning that approximately 12,240 bereaved family members (n = 80/institution) will be sent a questionnaire.
Discussion:
This is one of the largest cross-sectional bereavement surveys to evaluate the quality of specialized palliative care for patients with cancer, both in Japan and worldwide. The large sample size of this study will enable wide analyses of specific targets and topics.
Numerical modeling the process of deep slab dehydration and magmatism
Authors: Wu Hao , Lei Jiacheng , Jia Zeyu , Sheng Jian , Zhu Yinan , Wang Jian 
Published: May 2024

Abstract

This study utilizes a two-dimensional high-resolution thermodynamic-mechanical coupled model to explore the intricate processes of deep-seated plate hydration and dehydration, as well as the consequent magmatic activities within ocean-continent subduction zones. The research illuminates the mechanism by which hydrated plates release water during profound subduction phases. Notably, dehydration processes at depths exceeding 300 kilometers play an essential role in driving the magmatic activities of the mantle. Moreover, these processes significantly catalyze the partial melting of the mantle, leading to pronounced magmatic activities and the subsequent rise of molten material, culminating in the formation of magma chambers beneath remote continental plates. These insights could potentially contribute to a deeper understanding of the intricate hydrothermal interactions within subduction zones and how they might influence the Earth's internal dynamics.
Neurocognitive dysfunction in adolescents with recent onset MDD - a cross-sectional comparative study
Authors: Bienek Olga , Allott Kelly , Antonucci Linda , Bertolino Alessandro , Bonivento Carolina , Borgwardt Stephan , Brambilla Paolo , Chisholm Katharine , Dannlowski Udo , Haidl Theresa K. , Kambeitz Joseph , Kambeitz-Ilankovic Lana , Koutsouleris Nikolaos , Lencer Rebekka , Griffiths Siân Lowri , Maggioni Eleonora , Meisenzahl Eva , Pantelis Christos , Rosen Marlene , Ruhrmann Stephan , Salokangas Raimo K. R. , Stainton Alexandra , Upthegrove Rachel , Wenzel Julian , Wood Stephen J. , Romer Georg , Müller Jörg Michael 
Published: May 2024

Abstract

Objectives
The aim of this study was to examine the neurocognitive deficits associated with recent onset major depressive disorder (ROD) in adolescents as compared to adult patients.
Methods
Cross-sectional neurocognitive data from the baseline assessments of the PRONIA study with N = 650 (55.31% females) were analyzed. We built an overall neurocognitive performance (NP) score based on a battery of eleven neurocognitive tests. We examined mean score differences in NP between the groups of healthy controls (HC) and ROD and between adolescents (15–21 years) and adults (22–40 years) within a GLM approach for unbalanced data with focus on interaction effects while controlling for effects of medication and educational years.
Results
We found lower NP for the ROD as compared to the HC group (d=-0.29, p = .046) and lower NP for the adolescent group as compared to the adult group (d=-0.29; p < .039). We did not find an interaction between these two group effects (F = 1.11; p = .29). Educational years explained most of the variance in the model. An aggregated score of two subtests was highly correlated with the overall score of NP (r = 0.82)
Discussion
Our findings suggest that the detrimental effect of ROD on neurocognitive functioning is comparable in adolescent and adult patients, since lower scores in adolescent patients are explained by effects of age and education. This has theoretical, diagnostic and treatment implications for both age groups.
Conclusion
Neurocognitive impairment should be seen as an important factor in ROD, however, the implications of this has so far been under addressed in clinical treatment guidelines for adolescent MDD. Neurocognitive impairment should be considered an important diagnostic issue in adolescent mental health care. Our data further suggests that efficient monitoring of neurocognitive impairment could be implemented in clinical practice by using a subset of two short tests.
Understanding the Deltoid Phenomenon in the Perspective 3-Point (P3P) Problem
Authors: Rieck Michael 
Published: May 2024

Abstract

Concerning the Perspective 3-Point (P3P) Problem, Grunert's system of three quadratic equations has a repeated solution if and only if the cubic polynomial introduced by Finsterwalder has a repeated root. This polynomial is here shown to be obtainable from a particularly simple cubic polynomial with complex coefficients via a simple Mobius transformation. This provides surprising geometric insight into the P3P problem. In particular, (1) the discriminant of Finsterwalder's polynomial can be written using the formula for the standard deltoid curve, and (2) this discriminant, when regarded as a function of camera position, vanishes on a surface that approaches a deltoid shape when the camera is moved infinitely far from the control points in a direction perpendicular to the control points plane (the ''limit case"). These two facts have been previously reported, but obscure reasoning was required to establish them. In contrast, the present article uses the newly discovered cubic polynomial to easily produce the first fact, which then provides a basis for better understanding the second fact. Also presented are quartic polynomials whose real roots are the P3P solution point coordinates. A detailed geometric description of the P3P solution points in the ''limit case" is also supplied.
Flexibility in Choosing Decision Policies in Gathering Discrete Evidence Over Time
Authors: Golmohamadian Masoumeh , Faraji Mehrbod , Fallah Fatemeh , Sharifizadeh Fatemeh , Ebrahimpour Reza 
Published: May 2024

Abstract

The brain can remarkably adapt its decision-making process to suit the dynamic environment and diverse aims and demands. The brain’s flexibility can be classified into three categories: flexibility in choosing solutions, decision policies, and actions. We employ two experiments to explore flexibility in decision policy: a visual object categorization task and an auditory object categorization task. Both tasks required participants to accumulate discrete evidence over time, with the only difference being the sensory state of the stimuli. We aim to investigate how the brain demonstrates flexibility in selecting decision policies in different sensory contexts when the solution and action remain the same. Our results indicate that the decision policy of the brain in integrating information is independent of inter-pulse interval across these two tasks. However, the decision policy based on how the brain ranks the first and second pulse of evidence changes flexibly. We show that the sequence of pulses does not affect the choice accuracy in the auditory mode. However, in the visual mode, the first pulse had the larger leverage on decisions. Our research underscores the importance of incorporating diverse contexts to improve our understanding of the brain’s flexibility in real-world decision-making.
Agent Optimization for “Open Platform for Innovation in Logistics“ (OPIL)
Authors: Körösi Ladislav , Duchoň František 
Published: May 2024

Abstract

This manuscript presents the development of an innovative module intended for integration into the Open Platform for Innovation in Logistics (OPIL) library, which plays a pivotal role in the European Union Horizon 2020 initiative, codenamed “Grow your manufacturing business“ (commonly referred to as Better Factory). The primary aim of this module is to perform efficient computations to determine the optimal number of agents required for material transportation within logistics operations. This task holds considerable importance, particularly during the nascent stages of logistics automation or subsequent phases of expansion. The recently developed module has been designed as an autonomous Docker image. To demonstrate the effectiveness of the proposed approach, this manuscript provides two examples. The first example showcases the module’s application in logistics. The second example demonstrates the module’s broader scope by applying it to an inspection task. These examples serve to underscore the versatility and practicality of the newly created module in addressing diverse challenges within logistics and beyond.
Identification of tomato cultivars resistant to Ralstonia pseudosolanacearum
Authors: Costa Ester da Silva , Varjão Luís Felipe Barbosa , Silva Ranniele Luíza Ventura da , Araújo Bianca Galúcio Pereira , Silva Fabian Santana , Souza Almir Rogério Evangelista , Filho José Luiz Sandes de Carvalho , Costa Kleyton Danilo Silva 
Published: May 2024

Abstract

The bacterium Ralstonia pseudosolanacearum is responsible for one of the main tomato diseases, bacterial wilt. The only effective control measure for this disease is the use of resistant cultivars. The aim of this study was to identify tomato cultivars resistant to Ralstonia pseudosolanacearum. The experiment was conducted in a greenhouse at the Federal Institute of Alagoas - Piranhas Campus. The experimental design used was entirely randomized in a factorial scheme (10 x 2), containing 10 tomato cultivars and two isolates of the species Ralstonia pseudosolanacearum, totaling 20 treatments in three replications, resulting in 60 experimental plots, each containing four plants. Using the diagrammatic scale of bacterial wilt scores, phytopathometry of the disease was carried out using the following variables: Incidence (INC), Bacterial Wilt Index (BWI), Disease Index (DI), Latency Period (LP50), Area Under the Disease Progress Curve (AUDPC) and Infection Rate (IR). These variables were obtained for the 5th − 10th and 15th − 20th day of evaluation. There was a significant interaction between Cultivars x Isolates for the following variables: BWI, AUDPC, IR (5th − 10th day of evaluation) and for BWI, DI and IR (15th − 20th day of evaluation). The variables LP50, INC, IR and AUDPC characterized the start of the bacterial wilt epidemic from the first evaluation interval, regardless of the cultivars and isolates. The cultivar Havaí 7996 was classified as resistant to the isolate CRMRs108, and the cultivar Bartô was classified as moderately resistant to both isolates.
GALNT6 promotes bladder cancer malignancy and immune escape by epithelial-mesenchymal transition and CD8+T cells
Authors: Sun Xiaoxin , Wu Haotian , AL-DANAKH ABDULLAH , Jian Yuli , Gong Li , Li Congchen , Yu Xiao , Tang Ling , Zeng Guang , Chen Qiwei , Yang Deyong , Wang Shujing 
Published: May 2024

Abstract

Bladder cancer (BC) ranks as the fourth cancer in males and the tenth most common cancer worldwide. Conventional treatment modalities, including surgery, radiation, chemotherapy, and immunotherapy, have limited efficacy in certain advanced instances. The involvement of GALNT6-mediated aberrant O-glycosylation modification in several malignancies and immune evasion is a subject of speculation. However, its significance in BC has not been investigated. Through the integration of bioinformatics analysis and laboratory experimentation, we have successfully clarified the role of this GALNT6 in BC. Our investigation revealed that GALNT6 has significant expression in BC, and its expression level correlates with advanced stage and high grade, leading to poor overall survival. Moreover, both in vitro and in vivo tests demonstrate a strong correlation between elevated levels of GALNT6 and tumor growth, migration, and invasion. Furthermore, there is a negative correlation between elevated GALNT6 levels, the extent of CD8+T cell infiltration in the tumor microenvironment, and the prognosis of patients. Functional tests have shown that the increased expression of GALNT6 could enhance the malignant characteristics of cancer cells by activating the epithelial-mesenchymal transition (EMT) pathway. Ultimately, a bioinformatics study demonstrated that GALNT6 has the ability to engage with immunosuppressive receptors located on the outer layer of immune cells via MUC1. In brief, this study examined the impact of GALNT6-mediated abnormal O-glycosylation on the occurrence and progression of bladder cancer and its influence on immune evasion. It also elucidated the molecular mechanism underlying the interaction between tumor cells and immune cells, as well as the bidirectional signaling involved. These findings offer a novel theoretical foundation rooted in glycobiology for the clinical application of immunotherapy in BC.
Identification of goldenseal (Hydrastis canadensis L.) habitat and indicators in Pennsylvania, U.S.A: the influence of climate and site on in situ conservation of an edge of range plant species
Authors: Houston Ezra , Burkhart Eric P. , Zuiderveen Grady , Chen Xin 
Published: May 2024

Abstract

Goldenseal (Hydrastis canadensis L.) is a perennial herbaceous plant native to forestlands in eastern North America. In Pennsylvania (PA), a U.S. state within the northeastern edge of its range, commercial harvesting for medicinal markets and habitat loss have led to conservation concerns. A better understanding of habitat predilections could help guide in situ conservation efforts including locating extant populations, forest farming adoption, and assisted migration. In this study, GIS-based Maximum Entropy (Maxent) modeling using occurrences (n=51) was combined with field plot data (n=28) to determine factors governing goldenseal’s distribution in PA and identify floral indicators of supportive habitat. The Maxent model suggested that winter temperature and bedrock type were the most important characteristics governing habitat suitability. The model identified base-rich bedrock types as most suitable; a trait confirmed in the field by soil test results showing high calcium and pH levels. However, the influence of bedrock is complicated by overlapping land use legacy, particularly in the Piedmont and Ridge-and-Valley physiographic provinces. Community analysis identified 159 woody and herbaceous associates, including indicators of the following supportive rich mesic forest types: “Tuliptree-Beech-Maple,” “Red Oak-Mixed hardwood,” and “Central Appalachian Rich Cove”. Thirteen so called “invasive” taxa were encountered, of which at least one was present in 83% of plots. These results suggest that goldenseal habitat is widespread in the state, and species absences may be due to abiotic factors, most importantly the severity of winter temperatures. Additionally, future negative impacts on extant goldenseal populations might be anticipated resulting from the continued spread of invasive taxa.
Hederagenin from Hedera helix promotes fat browning in 3T3-L1 adipocytes
Authors: Choi Seung Min , Lee Ho Seon , Lim Sung Ho , Choi Gayoung , Choi Chang-Ik 
Published: May 2024

Abstract

Background
Currently, the regulation of energy homeostasis through increased energy consumption is attracting attention to treat obesity. White adipose tissue is known to play a role in accumulating energy by storing excess energy, while brown adipose tissue consumes energy and maintains body temperature. Thus, the browning of white adipose tissue has been confirmed to be effective in controlling obesity. Hedera helix (H. helix) has been widely used as a traditional medicine for various diseases. In several previous studies, hederagenin (HDG) from H. helix has demonstrated many biological activities. In this study, we investigated the anti-obesity effect of HDG on fat browning in 3T3-L1 adipocytes.
Methods
Cytotoxicity was assessed in 3T3-L1 cells through the Dimethyl sulfoxide and thiazolyl blue tetrazolium bromide (MTT) assay, while the extent of lipid accumulation was compared using the Oil red O (ORO) assay. Protein expression and mRNA expression were compared using Western blot and quantitative real-time polymerase chain reaction (qRT-PCR).
Results Consequent to HDG treatment, a reduction in lipid accumulation was confirmed through oil red O staining. In addition, this study confirmed that HDG increases heat production by upregulating the expression of several targets related to thermogenesis, including uncoupling protein 1 (UCP1). This process is closely related to the inhibition of lipogenesis through the adenosine monophosphate-activated protein kinase (AMPK) phosphorylation signaling pathway and lipolysis through the protein kinase A (PKA) signaling pathway.
Conclusions
HDG is expected to be effective in promoting fat browning, indicating its potential as a natural anti-obesity candidate.
ARIA-QA: AI-Agent based Requirements Inspection and Analysis through Question Answering
Authors: Biswas Chitrak , Das Souvick 
Published: May 2024

Abstract

Due to their predominant use of natural language (NL), requirements are prone to defects like inconsistency and incompleteness. Consequently, quality assurance processes are commonly applied to requirements manually. However, manual execution of these processes can be laborious and may inadvertently overlook critical quality issues due to time and budget constraints. This paper introduces ARIA, an innovative question-answering (QA) approach designed to automate support for stakeholders, including requirements engineers, during the analysis of NL requirements. The ability to pose questions and receive instant answers proves invaluable in proves beneficial in numerous quality-assurance scenarios, particularly in detecting incompleteness. The challenge of automating the answering of requirements-related questions is considerable, given the potential scope of the search for answers extending beyond the provided requirements specification. To overcome this challenge, ARIA integrates support for mining external domain knowledge resources like internet search results. Evaluation on seven diverse use cases drawn from the PURE dataset demonstrates ARIA's robustness and applicability across a range of real-life scenarios, highlighting its potential to significantly improve the quality and effectiveness of requirements analysis processes. This work represents one of the initial endeavors to seamlessly blend QA and external domain knowledge, effectively addressing complexities in requirements engineering.