bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and clinical characteristics of non-thyroidal illness syndrome with non-critically ill patients in rehabilitation specialist hospital
Authors: Wang Lunshan , Li Yinjun , Liu Wanzong , Shi Zhinong 
Published: December 2023

Abstract

Backgroud To investigate the prevalence and clinical characteristics of Non-thyroid illness syndrome(NTIS) patients in specialized rehabilitation hospital. Methods 6 799 patients admitted to our institution between January 2019 and May 2022, and analyzed retrospectively. There were 2,702 patients with NTIS and 2,207 patients with euthyroid sick syndrome (ESS). Plasma thyroid hormone was detected using chemiluminescence instrument and its associated reagents, and SPSS 21.0 was used for statistical analysis. Results the incidence of NTIS was 39.7% in rehabilitation specialized hospital, and the total length of hospitalization for patients with NTIS was substantially longer than for patients without NTIS. The incidence rates of unhealthy behaviors, such as smoking and drinking, and diseases such as diabetes and hypertension, were substantially higher in the NTIS group than in the non-NTIS group. Only BNP, APTT, and TT did not differ significantly between the two groups, all others laboratory results demonstrated statistically significant differences. Comparison of thyroid function between the two groups showed that fT3, TT4, and TSH values with the NTIS group were lower than the wtihout NTIS group, while fT4 and TT3 showed opposite results In NTIS patients, the pattern of only fT3 decreaseingwas 71.8%, followed by fT3 and fT4 simultaneously decreasing was 25.7%. Correlation analysis showed that fT3 positively correlated with TT4 was 0.811, while fT3 negatively correlated with fT4 and TT3 was − 0.703 and − 0.647, respectively, and without any correlation with TSH. PCT, WBC, hs-CRP, N/L%, and fT3 had negative correlations of -0.48, -0.46, -0.39, and − 0.35, respectively. Conclusion The incidence of NTIS patients in rehabilitation specialized hospitals is high. These patients have a lengthy hospitalization period, a state of high inflammation, impaired liver and renal function, coagulation disorders, and fibrinolytic activation.
Associations between BMI, polygenic risk score for BMI, lifestyle and the risk of upper gastrointestinal cancer
Authors: Huang Yubei , Feng Zhuowei , Ji Yuting , Duan Hongyuan , Liu Xiaomin , Zhang Yunmeng , Zhang Yu , Fan Zeyu , Liu Ya , Liu Ben , Lyu Zhangyan , Song Fangfang , Chen Kexin , Song Fengju 
Published: December 2023

Abstract

Objective
To investigate the risk of upper gastrointestinal (UG) cancer associated with BMI across different polygenic risk score for BMI (PRSBMI), and to investigate whether healthy lifestyles could attenuate this risk.
Methods
The joint association between BMI and PRSBMI [low risk: quintile 1–2; intermediate risk: quintile 3–4; high risk: quintile 5] on UG cancer risk were evaluated among 386,427 participants from the UK Biobank cohort, and stratified associations were further investigated according to the scores of lifestyle [favorable lifestyle: 0–1 score; intermediate lifestyle: 2–3 scores; unfavorable lifestyle: 4 scores].
Results
UG cancer significantly associated with BMI, PRSBMI, and numbers of unfavorable lifestyles in dose-response manners, and the adjusted hazard ratios [HRs(95%CI)] were 1.12(0.99–1.27) and 1.39(1.21–1.60) for intermediate and high BMI, 1.15(1.02–1.29) and 1.20(1.05–1.38) for intermediate and high PRSBMI, and 1.40(1.22–1.60) and 2.17(1.79–2.64) for intermediate and unfavorable lifestyles, respectively. Moreover, higher risk was observed for high BMI but low PRSBMI than high PRSBMI but low BMI. After stratifying by lifestyle, there was no obvious interaction and joint association of BMI and PRSBMI with UG cancer risk among participants with favorable lifestyle, while intermediate and unfavorable lifestyle further increased the risk, with HRs ranging from 1.37 to 4.95.
Conclusions
Generally, both high BMI and PRSBMI were associated with increased risk of UG cancer. Moreover, favorable lifestyle could attenuate the increased UG cancer risks associated with high BMI and/or high genetic predisposition of excess BMI. Adopting healthy lifestyles and keeping healthy weight are recommended to reduce UG cancer risk.
Evaluation of intrahospital test data as an indicator of SARS-CoV-2 incidence underreporting
Authors: Mees Juliane , Rauschenberger Vera , Pscheidl Tamara , Höhn Anna , Ebert Sina , Roth Nina , Reusch Julia , Wagenhäuser Isabell , Petri Nils , Kampmeier Stefanie , Eisenmann Michael , Krone Manuel 
Published: December 2023

Abstract

The incidence has been widely used to assess the epidemiological situation during the COVID-19 pandemic and guide health policy. As testing requirements changed during the pandemic, more SARS-CoV-2 infections may have remained undetected. This study aims to evaluate the use of different indicators for estimating unreported SARS-CoV-2 infections. Monthly SARS-CoV-2 incidences in the general Bavarian population were compared with three indicators: incidence in healthcare workers (HCWs), incidence of patients, and incidence in visitors. Based on this, the number of unreported SARS-CoV-2 cases in the Bavarian population was estimated. The incidence from the visitors correlated moderately with the official incidences (r = 0.63). The general population incidence and the inpatient incidence are highly correlated (r = 0.91), as are the general population incidence and the HCWs incidence (r = 0.94). Between April 2020 and June 2023, the general population incidence was on average higher than the average incidence of the three indicators, after which the relationship reversed. The reversal of the relationship between the data series of the Bavarian population and the chosen indicators in June 2022 suggests that SARS-CoV-2 infections were underreported. Inpatient screening incidence and HCWs’ incidence in settings with low-threshold test accessibility are suitable indicators of current epidemiology in the general population.
Obtaining Approximately Optimal and Diverse Solutions via Dispersion
Authors: Gao Jie , Goswami Mayank , C.S. Karthik , Tsai Meng-Tsung , Tsai Shih-Yu , YANG HAO-TSUNG 
Published: December 2023

Abstract
There has been a long-standing interest in computing diverse solutions to optimization problems. In 1995 J. Krarup posed the problem of finding $k$-edge disjoint Hamiltonian Circuits of minimum total weight, called the peripatetic salesman problem (PSP). Since then researchers have investigated the complexity of finding diverse solutions to spanning trees, paths, vertex covers, matchings, and more. Unlike the PSP that has a constraint on the total weight of the solutions, recent work has involved finding diverse solutions that are all optimal. However, sometimes the space of exact solutions may be too small to achieve sufficient diversity. Motivated by this, we initiate the study of obtaining sufficiently-diverse, yet approximately-optimal solutions to optimization problems. Formally, given an integer $k$, an approximation factor $c$, and an instance $I$ of an optimization problem, we aim to obtain a set of $k$ solutions to $I$ that a) are all $c$ approximately-optimal for $I$ and b) maximize the diversity of the $k$ solutions. Finding such solutions, therefore, requires a better understanding of the global landscape of the optimization function. Given a metric on the space of solutions, we first provide a general reduction to an associated budget-constrained optimization (BCO) problem, where one objective function is to optimized subject to a bound on the second objective function. We then prove that bi-approximations to the BCO can be used to give bi-approximations to the diverse approximately optimal solutions problem. As applications of our result, we present polynomial time approximation algorithms for several problems such as diverse $c$-approximate \emph{spanning trees, maximum matchings, $s-t$ shortest paths, global min-cut, and minimum weight bases of a matroid}. In addition, we demonstrate that the \emph{$c$-approximate minimum spanning trees} can be converted into a set of $c$-approximate TSP tours where the tours are empirically diverse, advancing a step towards achieving diverse $c$-approximate TSP tours. We also explore the connection to the field of multiobjective optimization and show that the class of problems to which our result applies includes those for which the associated DUALRESTRICT problem defined by Papadimitriou and Yannakakis, and recently explored by Herzel et al. can be solved in polynomial time.
CREB3L1 deficiency impairs odontoblastic differentiation and molar root dentin deposition partially through the TMEM30B
Authors: Chen Zhi , Li Yuanyuan , Lin Yuxiu , Guo Jinqiang , Huang Delan , Zuo Huanyan , Zhang Hanshu , Yuan Guohua , Liu Huan 
Published: December 2023

Abstract

Odontoblasts are primarily responsible for synthesizing and secreting extracellular matrix proteins, which are crucial for dentinogenesis. Our previous single-cell profile and RNAscope for odontoblast lineage revealed that cyclic adenosine monophosphate responsive element-binding protein 3 like 1 (Creb3l1) was specifically enriched in the terminal differentiated odontoblasts. In this study, deletion of Creb3l1in the Wnt1+ lineage led to insufficient root elongation and root dentin deposition. Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) and RNA sequencing were performed to revealed that in CREB3L1-deficient mouse dental papilla cells (mDPCs), the genes near the closed chromatin regions were mainly associated with mesenchymal development and the downregulated genes were primarily related to biological processes including cell differentiation, protein biosynthesis and transport, all of which were evidenced by a diminished ability of odontoblastic differentiation, a significant reduction in intracellular proteins, and an even greater decline in extracellular supernatant proteins. Dentin matrix protein 1 (Dmp1) and transmembrane protein 30B (Tmem30b) were identified as direct transcriptional regulatory targets. TMEM30B was intensively expressed in the differentiated odontoblasts, and exhibited a significant decline in both CREB3L1-deficient odontoblasts in vivo and in vitro. Deletion of Tmem30b impaired the ability of odontoblastic differentiation, protein synthesis, and protein secretion in mDPCs. Moreover, overexpressing TMEM30B in CREB3L1-deficient mDPCs partially rescued the extracellular proteins secretion. Collectively, our findings suggest that CREB3L1 participates in dentinogenesis and facilitates odontoblastic differentiation by directly enhancing the transcription of Dmp1 and other differentiation-related genes and indirectly promoting protein secretion partially via TMEM30B.
Closed-Loop Recycling of Tough Epoxy Supramolecular Thermosets Constructed by Hyperbranched Topological Structure
Authors: Zhang Junheng , Jiang Can , Deng Guoyan , Luo Mi , Ye Bang-Jiao , Zhang Hongjun , Miao Menghe , Li Tingcheng , Zhang Daohong 
Published: December 2023

Abstract

Covalent adaptable networks are critical for the recycling and reuse of cross-linked epoxy thermosets. However, a major challenge is to develop efficient recyclable strategies while maintaining the high-performance of epoxy thermosets. Here, we synthesized vanillin-based hyperbranched epoxy resin (VanEHBP) to prepare tough epoxy supramolecular thermosets. The supramolecular structures were constructed with VanEHBP via intermolecular hydrogen bonds, intramolecular and intermolecular cavities, dual dynamic covalent bonds (imine exchange and transesterification). The epoxy thermosets exhibited excellent mechanical properties, as well as fast reprocessability, which can be reprocessed at 120°C within 30 sec and maintain about 100% of tensile strength. Importantly, the epoxy thermosets can be easily fully recycled under room temperature and the recovered materials can preserve 93.5% of mechanical properties of the original samples. This wok represents a unique strategy for developing room-temperature closed-loop recyclable epoxy thermosets with superior comprehensive performance and promising practical application prospects.
Moisture and nutrient management for sustainable dryland sunflower production
Authors: Loza Alexandra Dillchneider , Noellemeyer Elke , Funaro Daniel , Delfino Cristian Emmanuel , Cardonatto Juan Ignacio 
Published: December 2023

Abstract
Background and Aims
Improving agricultural water and nitrogen resource management is a crucial global challenge for enhancing water and nitrogen use efficiency in croplands. This study aimed to understand the intricate interactions among soil, climate, and crop management to simultaneously enhance water use efficiency (WUE) and nitrogen use efficiency (NUE) in sunflower crops in semiarid environments. Additionally, the impact of nitrogen fertilization on grain oil content determination was assessed.
Methods
Two experiments were conducted at INTA Anguil Argentina, one on loamy and sandy soil (Exp.1) and another with two planting dates during three years (Exp.2). Each experiment included six fertilization treatments. WUE was calculated as the yield-to-water consumption ratio, while NUE was determined by the yield-to-available nitrogen in soil plus fertilizer ratio.
Results
Texture and available soil nitrogen explained 83% of sunflower crop yield variability. Findings revealed that as sunflower crop yield increased due to higher nitrogen availability and favorable water conditions, water use efficiency improved, while nitrogen use efficiency remained constant even at high nitrogen rates and yields. Sunflower yields in this semi-arid environment increased by up to 54% in loam and 70% in the sand. Importantly, grain oil content was not significantly affected by increased soil nitrogen availability.
Conclusion
This study demonstrates the feasibility of maximizing both crop yield and water use efficiency by optimizing nitrogen availability in the soil, without compromising grain oil content. No negative relationships were observed between WUE and NUE, highlighting the potential for sustainable agricultural practices in semiarid environments.
Prevotella copri transplantation promotes neurorehabilitation in a mouse model of traumatic brain injury through the GUO-PI3K/Akt signaling pathway
Authors: Gu Nina , Yan Jin , Tang Wei , Zhang Zhaosi , Wang Lin , Li Zhao , Wang Yingwen , Zhu Yajun , Tang Shuang , Cheng Chongjie , Zhong Jianjun , Sun Xiaochuan , Huang Zhijian 
Published: December 2023

Abstract
Background: The gut microbiota plays a critical role in regulating brain function through the microbiome-gut-brain axis (MGBA). Dysbiosis of the gut microbiota is associated with neurological impairment in TBI patients. Our previous study found that TBI results in a decrease in the abundance of Prevotella copri (P. copri). Manipulation of the gut microbiota is a promising intervention strategy, but less is known about the potential role of P. copritransplantation in TBI.
Methods: In this study, a controlled cortical impact (CCI) model was used to induce traumatic brain injury (TBI) in adult male C57BL/6 mice. Subsequently, P. copri was transplanted by intragastric gavage for 7 consecutive days. To investigate the effect of the GUO-PI3K/Akt pathway in P. copritransplantation therapy, guanosine (GUO) was administered 2 h after TBI for 7 consecutive days, and PI3K inhibitor (LY294002) was administered 30 min before TBI. Various techniques were used to assess the effects of these interventions, including quantitative PCR, neurological behavior tests, metabolite analysis, ELISA, Western blot analysis, immunofluorescence, Evans blue assays, transmission electron microscopy, FITC-dextran permeability assay, gastrointestinal transit assessment, and 16S rDNA sequencing.
Results: P. copriabundance was significantly reduced after traumatic brain injury (TBI). P. copri transplantation alleviated motor and cognitive deficits tested by the NSS, Morris water maze, and open field test. P. copri transplantation attenuated oxidative stress and blood-brain barrier damage and reduced neuronal apoptosis after TBI. In addition, P. copri transplantation resulted in the reshaping of the intestinal flora, improved gastrointestinal motility, and increased intestinal wall permeability. Metabolomics and ELISA analysis revealed a significant increase in GUO levels in feces, serum and injured brain after P. copri transplantation. Furthermore, the expression of p-PI3K and p-Akt was found to be increased after P. copritransplantation and GUO treatment. Notably, LY294002 treatment attenuated the observed improvements.
Conclusions: We demonstrate for the first time that P. copri transplantation can improve GI functions and alter gut microbiota dysbiosis after TBI. Additionally, P. copri transplantation can ameliorate neurological deficits, possibly via the GUO-PI3K/Akt signaling pathway after TBI.
Large Scale Topic Extraction from Incident Reports by Natural Language Processing
Authors: Rice Rebecca , Blundell James Edward , Mughal Aamer , Goh Jialuen , Amiruddin Nabeel 
Published: December 2023

Abstract
Background:
Events reported to the Datix database involve a wide range of contexts and processes. Common themes and underlying systemic factors contributing to multiple events are typically identified by individuals responsible for reviewing each such event. This is prone to missing genuine underlying factors. We present the use of a machine learning approach and algorithm called Top2Vec to capture the linguistic meanings and semantics within numeric sequences called word or document embeddings. These document embeddings can be aggregated into clusters representing particular themes, which we represent as wordclouds.
Method:
2112 Datix reports from Critical Care in Dudley Group Hospitals NHS Foundation Trust were imported into a Python 3.9.12 Pandas dataframe. Incident descriptions were processed through the Top2Vec algorithm. Each document was represented by a 300 long numeric vector. Regions of local density and clusters of documents were identified within Top2Vec by Hierarchical Density-Based Spatial Clustering (HDBSC). The centres of these clusters are represented by a group of words with potentially common meanings, revealing the underlying topic.
Results:
The wordcloud representations of the following topics were subjectively equated to: Pressure sores, patient aggressive behaviour, Drug prescription and administration, Isolation for loose stool, Nurse staffing capacity, Single sex breach, Safeguarding and vulnerable patients, Missed enoxaparin, Bed capacity, Blood product collection, Patient facial pressure sores, Blood product wastage.
Conclusion:
The common words within the wordclouds suggests that Top2Vec is capturing words sharing meanings within the embeddings. We propose that this is an efficient method to analyse large datasets of text and reveal deep themes contributing to many single events.
Approximating the Nuclear Binding Energy Using Analytic Continued Fractions
Authors: Moscato Pablo , Grebogi Rafael 
Published: December 2023

Abstract
Understanding nuclear behavior is fundamental in nuclear physics. This paper introduces a data-driven approach, Continued Fraction Regression (cf-r), to analyze Nuclear Binding Energy (B(A,Z)). Using a tailored loss function and analytic continued fractions, our method accurately approximates stable and experimentally confirmed unstable nuclides. We identify the best model for nuclides with A ≥ 200, achieving precise predictions with residuals smaller than 0.15 MeV. Our model's extrapolation capabilities are demonstrated as it converges with upper and lower bounds at the nuclear mass limit, reinforcing its accuracy and robustness. This data-driven approach offers valuable insights into nuclear physics and provides an illustration on the use of analytical continued fraction regression for a wide range of other possible applications.
Beyond Innovation: Assessing the Risk Terrain of Industry 5.0 Technologies
Authors: Gupta Parul , Jain Arvind Kumar , Gupta Rajesh 
Published: December 2023

Abstract
Purpose - The purpose of this study is to systematically identify, assess, and critically analyse these risks within the context of Industry 5.0 technologies. The advent of Industry 5.0 ushers in a new era of industrial operation, promising significant productivity gains but also bringing potential risks and vulnerabilities (Sharma & Joshi, 2020).
Methodology - the methodology encompasses a comprehensive survey for Failure Modes and Effects Analysis (FMEA), which is widely recognised as an effective technique for risk assessment in complex systems (Bowles, 2003). The survey was administered to a diverse cohort of industrial experts, drawing a comprehensive perspective on potential risks associated with the integration of Industry 5.0 technologies.
Findings - The findings of the study include a comprehensive list of risks involved with industry 5.0. the risks have been prioritised on the basis of the calculated RPN.
Implications – results of the study can help to devise informed, effective, and sustainable risk management strategies for Industry 5.0 technologies.
Originality - This paper provides an original contribution by using FMEA in the context of Industry 5.0, combining both the robustness of this analysis method and the domain-specific expertise of survey respondents. In doing so, the research offers a granular understanding of risks in areas such as cybersecurity, advanced automation, Internet of Things, and human-machine interfaces.
Lysosome Passivation Triggered by Ag Nanoparticles Enhances Subcellular-Targeted Drug Therapy
Authors: Wang Xueqian , Zhao Shulin , Fang Guiqian , Wang Ran , Lyu Xinxing , Shao Xintian , Ling Peixue , meng caicai , Mu Yanling , Chen Qixin , Chen Jia 
Published: December 2023

Abstract
Background: Frequently, subcellular-targeted drugs tend to accumulate in lysosomes after cellular absorption, a process termed the lysosomal trap. This accumulation often interferes with the drug's ability to bind to its target, resulting in decreased efficiency. Existing methods for addressing lysosome-induced drug resistance mainly involve improving the structures of small molecules or enveloping drugs in nanomaterials. Nonetheless, these approaches can lead to changes in the drug structure or potentially trigger unexpected reactions within organisms.
Results: To address these issues, we introduced a strategy that involves inactivating the lysosome with the use of Ag nanoparticles. In this method, the Ag nanoparticles gradually accumulate inside lysosomes, leading to permeation of the lysosomal membrane and subsequent lysosomal inactivation. Importantly, coincubating nanoparticles with various subcellular-targeted drugs was found to significantly increase the efficiency of these treatments.
Conclusion: Our strategy illustrates the potential of using lysosomal inactivation to enhance drug efficacy, providing a promising therapeutic strategy for cancer.