bluuebunny/crossref_metadata_2025_split huggingface dataset:
Homocysteine thiolactone and other sulfur-containing amino acid metabolites are associated with fibrin clot properties and the risk of ischemic stroke
Authors: Sikora Marta , Bretes Ewa , Perła-Kaján Joanna , Utyro Olga , Borowczyk Kamila , Piechocka Justyna , Głowacki Rafał , Wojtasz Izabela , Kaźmierski Radosław , Jakubowski Hieronim 
Published: March 2024

Abstract
Homocysteine (Hcy) and Hcy-thiolactone (HTL) affect fibrin clot properties and are linked to cardiovascular disease. Factors that influence fibrin clot properties and stroke are not fully understood. To study sulfur-containing amino acid metabolites, fibrin clot lysis time (CLT) and maximum absorbance (Absmax) in relation to stroke, we analyzed plasma and urine from 200 stroke patients (45.0% women, age 68±12 years) and 291 healthy individuals (59.7% women, age 50±17 years). Plasma and urinary levels of sulfur-containing amino acid metabolites and fibrin slot properties were significantly different in stroke patients compared to healthy individuals. Fibrin CLT correlated with fibrin Absmax in healthy males (R² = 0.439, P = 0.000), females (R² = 0.245, P = 0.000), female stroke patients (R² = 0.187, P = 0.000), but not in male stroke patients (R² = 0.008, P = ns). Fibrin CLT correlated with age in healthy females but not males while fibrin Absmax correlated with age in both sexes; these correlations were absent in stroke patients. In multiple regression analysis in stroke patients, plasma (p)CysGly, pMet, and MTHFR A1298C polymorphism were associated with fibrin Absmax, while urinary (u)HTL, uCysGly, and pCysGly were significantly associated with fibrin CLT. In healthy individuals, uHTL and uGSH were significantly associated with fibrin Absmax, while pGSH, and CBS T833C 844ins68 polymorphism were associated with fibrin CLT. In logistic regression, uHTL, uHcy, pCysGly, pGSH, MTHFR C677T polymorphism, and Absmax were independently associated with stroke. Our findings suggest that HTL and other sulfur-containing amino acid metabolites influence fibrin clot properties and the risk of stroke.
Characterizing the omics landscape based on 10,000+ datasets
Authors: Brombacher Eva , Schilling Oliver , Kreutz Clemens 
Published: March 2024

Abstract

The characteristics of data produced by omics technologies are pivotal, as they critically influence the feasibility and effectiveness of computational methods applied in downstream analyses, such as data harmonization and differential abundance analyses. Furthermore, variability in these data characteristics across datasets plays a crucial role, leading to diverging outcomes in benchmarking studies, which are the basis for guiding the selection of appropriate analysis methods in all omics fields. At the same time, downstream analysis tools are developed and used in distinct omics communities due to the presumed differing data characteristics arising from the respective omics technology.
We investigate on over ten thousand datasets how proteomics, metabolomics, transcriptomics, and microbiome data vary in specific data characteristics.
We were able to show patterns of data characteristics specific to the investigated omics types and provide a tool, which allows researchers to characterize and assess how representative a given omics dataset is for an omics discipline. Moreover, we illustrate how data characteristics can impact analysis at the example of normalization in the presence of sample-dependent proportions of missing values.
Due to the varying nature of the investigated omics data characteristics, we encourage the inspection of data characteristics in the context of benchmark studies and for downstream analyses to prevent suboptimal method selection and unintended bias.
Investigation of Lawsuit Process Duration: A Machine Learning and Process Mining Approach
Authors: Vercosa Luiz , Silva Vinicius , Cruz Jaqueline , Bastos-Filho Carmelo , Leite Byron 
Published: March 2024

Abstract
Delays in legal proceedings can significantly harm both corporate finances and individual lives. While many jurisdictions rely on subjective criteria such as reasonable process duration to manage case processing times, machine learning offers an alternative approach by estimating lawsuit durations and assessing the impact of multiple variables on these timelines. This study explores the use of machine learning to estimate lawsuit duration, considering multiple variables, including control-flow characteristics. We observed that the sequences of procedural movements exhibit complex patterns, making them suitable for analysis using clustering techniques employed in process mining. We framed the problem as a supervised learning regression task, incorporating clustering results as additional features. Employing linear regression, support vector regression, and gradient boosting methods, we analyzed over 60,000 cases from Brazilian labor courts. The gradient boosting model achieved an R2-score of 0.87, and feature importance analysis revealed that clustering techniques features emerged among the most significant in time estimation.
Effect of Laser Beam Power on AA6082 Plates Joined by Wobbling Mode Remote Laser Welding
Authors: AVCI UĞUR , Franciosa Pasquale 
Published: March 2024

Abstract
The advancement of technology has led to an increased need for new materials, which has necessitated the development of new joining techniques. With the adaptation of advanced automation technology, remote laser welding, which has become increasingly widespread, has facilitated the joining of desired complex structures. In this context, the determination of the laser beam power, which is the locomotive of the welding parameters, before the joining process has played an important role in the weld quality. In this study, 2 mm thick AA6082 plates were joined with a wobling mode remote laser welding system using 4 kW, 3 kW and 2.5 kW laser beam powers. Except for the laser beam power, other parameters were optimized by preliminary studies. The welding process was performed in circular oscillation mode and the time-dependent motion of the laser beam was calculated in advance. The seam geometry, microstructure and hardness properties of the weld line initial, middle and end regions of each joining plate were investigated. As a result of the investigations, full penetration was achieved in the joints made with 4 kW and 3 kW laser powers, but the use of 4kW laser power reduced the weld quality. As a result of using 2.5 kw laser power, full penetration was not achieved and porosity formations were observed. In addition, seam geometry values, HAZ distance and compound dimensions close to the fusion line decreased and weld zone element values changed with decreasing laser power. The transformation in structural and elemental values caused regional hardness changes.
Navigating the Diagnostic Maze: A Case Report and Narrative Review of Reversible Cerebral Vasoconstriction Syndrome
Authors: Yao Xuefan , Li Yuzhe , He Aini , Zhao Benke , Sun Wei , Wu Xiao , Song Haiqing 
Published: March 2024

Abstract

Background: Reversible cerebral vasoconstriction syndrome (RCVS) is a condition characterized by thunderclap headaches (TCHs), namely sudden and severe headaches that peak within few seconds. These headaches present diagnostic difficulties due to their diversity and low specificity, often leading to misdiagnoses and patient dissatisfaction.
Case presentation: Our case focused on a 52-year-old female who was initially misdiagnosed with migraines. Her journey from misdiagnosis to accurate identification of RCVS involved a series of key steps: initial misunderstanding, careful reconsideration, thorough re-examination, and finally conclusive diagnosis for treatment revision. This progression highlighted the challenges of distinguishing RCVS from other headache disorders, especially when the initial symptoms mimic more common conditions such as migraines. There was a significant shift in the patient's attitude throughout her entire treatment. Initially frustrated with the misdiagnosis, she eventually understood the complexities of diagnosing such atypical cases. It is worth noting that she expressed reluctance toward invasive treatments and favoured conservative management approaches.
Conclusion: This case emphasized the crucial role of timely diagnosis, detailed clinical evaluation and advanced imaging in RCVS diagnosis, highlighting the importance of effective doctor-patient communication in managing expectations and understanding patient preferences for treatment. By focusing on the unique features of RCVS and promoting open dialog with patients, healthcare professionals can improve diagnostic accuracy and patient satisfaction, thereby achieving better overall outcomes in managing this complex condition.
Stable Cross -Section Index (SCSI): a new method to describe channel stability- A case study of the Ichamati River in a selected stretch along the Indo-Bangladesh international border
Authors: MONDAL MADHAB 
Published: March 2024

Abstract

The Ichamati river is an important drainage system of the district of North 24 Parganas, India, and as well as the Satkhira district of Bangladesh, flows southward indicating a common international boundary a 30 km long reach and thus posses an international character. The decaying condition of the river is the consequence of the miseries of the people of both countries. The river claims holistic management, but this common section is the hindrance of it. This article based on the unpublished secondary data, collected through a field visit by Ministers of Water Resources of both countries in September 2006, and besides this the hydraulic data were collected by the author by AA price Current meter. This paper has focused on a new method, Stable Cross–Section Index (SCSI) which is the numerical representation of the 2D standard form of any cross-section. To justify the SCSI, different parameters and methodology (ADAI) also have been implemented. The hydrological parameters such as discharge, Froude number, specific energy established a constant hydraulic regime in this section. The width, area, hydraulic radius remained insignificantly unchanged throughout the reach but significantly it is noticed that depth has been changed with the hydrological coefficient. The SCSI identified the stability of the river as average and below-average, which is constant throughout the reach with respective discharge.
Exclusion of third-party arthropods conditions the efficiency of an attract and reward strategy against Dysaphis plantaginea in apple orchards
Authors: Yguel Benjamin , Peñalver-Cruz Ainara , Heintz Christelle , Braud Ferreol , Cattaneo Christian , Gaucher Matthieu , Brisset Marie-noelle , Didelot Frederique , Jaloux Bruno , Moindziwa Ismael , Bricout Margot 
Published: March 2024

Abstract

The rosy apple aphid is a major pest of apple orchards, potentially ant tended. The use of generalist insecticides is the principal management method to control this pest. Lately, the attract and reward strategy has emerged as a promising conservation biological control method, combining semiochemicals as attractant, and companion plants as natural enemies’ supplementary food sources. Because of complex trophic and mutualistic interactions within the agroecosystem between the pest and other arthropod species, this strategy has to be carefully evaluated. We conducted a sentinel plant experiment in apple orchards to investigate the individual and combined efficiency of the attract and reward strategies to control rosy apple aphid in early and late spring. The proximate environment of each potted apple sentinel plants was manipulated by the addition of potted semiochemicals-emitting apple seedlings and/or a potted extrafloral nectar producing plant. An exclosure factor was added to evaluate the role of ground dwelling predators and ants. We observed that the attract and reward strategy significantly increased the biological control of the rosy apple aphid only when third party arthropod were excluded and in early spring. Exclusion did exclude ants in early and late spring; we did not find any effect of the exclusion nor of the individual or combined attract and reward strategies on Araneae and Syrphidae. Attract and reward components combined appears to be an effective strategy, if third party arthropods are excluded. This study emphasizes that understanding trophic, competitive and mutualistic interactions is needed to design effective conservation biological control strategy.
H2S-driven Chemotherapy and Mild Photothermal Therapy Induced Mitochondrial Reprogramming to Promote Cuproptosis
Authors: Qiao Lihong , Ou Yijing , Li Lin , Wu Shuzhen , Guo Yanxian , Liu Mu , Yu Dongsheng , Chen Qinghua , Yuan Jianmin , Wei Chuanqi , Ou Chiyi , Li Haowen , Cheng Du , Yu Zhiqiang , Li Zhongjun 
Published: March 2024

Abstract

The high level of hydrogen sulfide (H2S) in colon cancer hinders complete cure with a single therapy. However, excess H2S also offers a treatment target. A multifunctional cascade bioreactor based on the H2S-responsive mesoporous Cu2Cl(OH)3-loaded hypoxic prodrug tirapazamine (TPZ), in which the outer layer was coated with hyaluronic acid to form TPZ@Cu2Cl(OH)3-HA (TPZ@CuO) nanoparticles (NPs), demonstrated enhanced efficacy for H2S-driven chemotherapy and mild photothermal therapy induced mitochondrial reprogramming to promote cuproptosis. The drug was injected through the caudal vein and concentrated in colon cancer through its enhanced permeability, retention effects, and active targeting. The photothermic agent copper sulfide (Cu9S8) was prepared in situ by reacting with excess H2S and near-infrared II, thereby releasing TPZ. When H2S content was sufficiently depleted, the induction of mitochondrial reprogramming stimulated oxygen consumption by colonic epithelial cells. Activation of the hypoxic prodrug TPZ yielded activated TPZ-ed for chemotherapeutic treatment of colon cancer. Further exacerbation of hypoxia inhibited the synthesis of adenosine triphosphate, leading to decreased expression of heat shock proteins and improving the effectiveness of mild photothermal therapy. Additionally, copper ions were enriched in colon cancer, and Cu2+ bound to lipoacylated dihydrolipoamide S-acetyltransferase (DLAT), inducing DLAT heteromerization. The increase in insoluble DLAT led to cytotoxicity and cell death, followed by cuproptosis. Simultaneously, Cu2+ generated highly catalytic Cu+ under conditions of increased GSH expression, which catalyzed H2O2 to produce highly toxic hydroxyl radicals (·OH) during chemodynamic therapy, inducing apoptosis. These results offer a new NP-based treatment modality that can promote copper-related synergistic combination therapy in various ways.
Data governance and ethics in digital health surveillance for emerging infectious diseases
Authors: Thiongane¹ Oumy , Martin² Louise , Thys¹ Séverine , Arsevska¹ Elena 
Published: March 2024

Abstract
Epidemic intelligence, and in particular, its component of digital health surveillance, combines multiple large, heterogeneous datasets, often by using artificial intelligence (AI) systems to detect, monitor, and assess threats relevant to public and animal health. This could raise significant ethical issues regarding data sources, natural language processing, user privacy and consent, among others. The European Commission is highly engaged in how European projects using AI for health data and digital health surveillance comply with the General Data Protection Regulation and ethical principles. This work aimed to better understand the governance of data in the H2020 MOOD (Monitoring Outbreak for Disease Surveillance in Data Science Context) project. The authors also studied the perceptions and views of researchers on ethical risks and suggested actions to mitigate these risks in an international multisource Big Data Analytics and One Health project. First, a data mapping approach was used to determine the origin and destination of the data in the project. Participatory observations were conducted to understand the data scientists at work. Information was also collected through a qualitative study using semi-structured interviews with eight project researchers ranging from data scientists to epidemiologists and ethics experts; a quantitative survey of all consortium members complemented this process. Big data and AI systems have enormous potential for strengthening healthcare delivery, including deploying different public health interventions such as disease surveillance, outbreak response and health system management. However, some risks and constraints could hamper the reliability of data analysis and AI systems, such as the deidentification, lack of privacy, compliance with Twitter Application Programming Interfaces terms of use, and the risk of reproducing bias and stigmatisation of minorities. Our findings suggest that few researchers could be reluctant to work and establish action to mitigate ethical risk depending on the approach used in ethical counselling for European and transdisciplinary projects. The philosophical and comprehensive approach to ethics is judged softer when comparing the legal and more constraining requirements to comply with the law. Using Big, multisource EI data in a One Health framework requires consideration of strong ethical principles that safeguard users’ privacy and constant ethical support for researchers.
Research on Three-Dimensional Pose Reconstruction of Experimental Mice with Depth Information Fusion
Authors: Hu Chunhai , Liu Xiaonan , Liu Bin 
Published: March 2024

Abstract
The 2D video analysis technology has propelled research in rodent behavioral studies towards automated and high-fidelity analysis of behavioral data. Precise posture detection serves as a crucial prerequisite for behavior quantification. However, 2D video analysis falls short in determining the three-dimensional pose of mice. Existing methods for three-dimensional pose reconstruction often rely on multi-view cameras, which are costly and lack real-time capabilities. Therefore, this paper introduces a method that integrates depth information for three-dimensional pose reconstruction of experimental mice. The approach involves constructing a skeletal model of experimental mouse poses based on multiple keypoints. Utilizing a single low-cost depth camera, the Intel RealSense D455, data is collected from a top-down perspective as RGB-D data. To address the keypoint detection challenge, this study designs and improves the YOLOv7 network model. Omni-dimensional dynamic convolutions and coordinate attention mechanisms are respectively introduced into the feature extraction and fusion layers to enhance detection accuracy. Ghost convolutions are incorporated into the feature extraction layer to achieve a lightweight network design. Through ablation experiments, this network model achieves high precision and real-time keypoint detection performance on RGB images. The network model attains an average PCK (Probability of Correct Keypoint) of 97.71$\%$ for ten mouse keypoints, with a real-time frame rate of 70.47 frames. Subsequently, the depth information provided by the depth camera is optimized. Two-dimensional keypoint coordinates are employed as indices to retrieve corresponding depth values, completing the three-dimensional pose reconstruction. The reconstructed three-dimensional poses are then utilized for the analysis of mouse behavior in the vertical dimension during open field experiments. This research method offers a more comprehensive and accurate representation of experimental mouse motion, posture, and behavior, thereby contributing to a more detailed and profound understanding of behavioral studies.
A Comparison of Quantitative and Semi-quantitative Methods for Assessing Cartilage Status and Change Over Time; Data from the Osteoarthritis Initiative
Authors: Ray Aaron , Brett Alan D. , Dube Bright , Bowes Michael A. , Rowbothom Emma , Conaghan Philip G. 
Published: March 2024

Abstract

Introduction:
The aim of this study was to compare the cross-sectional relationship and longitudinal responsiveness of the semi-quantitative MRI Osteoarthritis Knee Score (MOAKS) with automated quantitative cartilage thickness measures.
Methods:
Images and MOAKS scores from 297 participants with evidence of radiographic progression (groups 1 and 2) from the OAI FNIH sub-cohort were included. To facilitate direct comparison, novel quantitative measures of cartilage loss (termed Q-MOAKS) were matched to MOAKS regions. Mean normative cartilage thickness was computed for each subregion using OAI non-OA controls. The Q-MOAKS thickness loss score was based on the proportion of cartilage thickness over a subregion that was <95% normative thickness, the denudation score was based on <5% normative thickness. Q-MOAKS area proportions were categorised into scores as for MOAKS. Quantitative cartilage thickness (ThCtAB) was also measured in MOAKS subregions. We compared MOAKS against Q-MOAKS and ThCtAB cross-sectionally using Spearman’s rank correlation and descriptive statistics including proportions and boxplots. Longitudinally, responsiveness was assessed at 1 and 2 years using standardised response means (SRM).
Results:
Cross-sectionally, there was a poor correlation between MOAKS and Q-MOAKS thickness loss and denudation scores in all regions except central medial femur (cMF) and tibia (cMT) with moderate correlation for thickness loss scores cMF, ρ=0.59, (95%CI:0.51, 0.66) cMT, ρ=0.58, (0.50, 0.65). In cMF, despite the broad range for the MOAKS thickness loss score = 2 (10-75% region surface area), only 56% (89/159) of knees were Q-MOAKS = 2 and 23% of MOAKS denudation = 2 were represented in Q-MOAKS = 2. In cMT, the results for similar comparisons were 61% and 66% respectively. MOAKS appeared to overestimate grades 2 and 3. Over 2-year follow-up MOAKS thickness loss and denudation scores were less responsive than Q-MOAKS in most subregions. MOAKS thickness loss was most responsive in cMT (SRM=0.47, (95%CI:0.41, 0.54)). ThCtAB was substantially more responsive: SRM=-0.84, (-0.96, -0.73) in this region.
Conclusion:
Though MOAKS status scores showed reasonable correlation with quantitative measures of thickness in medial compartments, concordance between MOAKS and quantitative cartilage area loss was poor. Quantitative measures of thickness loss were substantially more responsive as MOAKS scores over a 1 and 2-year period.