bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of friction between metal-polymer material pairs with different speeds and surface pressures
Authors: Kohlhéb R. , Horváth R , Réger M. 
Published: October 2024

Abstract
Engineering design requires accurate knowledge of the friction conditions of material pairs. The friction coefficient (static or dynamic) depends on many parameters in addition to the pairs of materials used (e.g. surface roughness, temperature, humidity, surface pressure, etc.). In this study, based on our own measurements, we present the friction conditions of an aluminum (Al 6082-T6) – polypropylene homopolymer surface pair under different surface loads (5-15 MPa) and different relative speed differences (4-8–48-96 mm/min). The results of the experiments show that the static and dynamic friction coefficients decrease with the increase of surface load. As relative speed increases, the dynamic coefficient of friction increases, while the static coefficient of friction can be considered constant.
The challenges of 3D metal printing and the machinability characteristics of additively produced materials: a review of hybrid machining
Authors: Balazs B Z , Jacso A , Tancsa V , Takacs M 
Published: October 2024

Abstract
Recently, 3D metal printing technologies are rapidly spreading. The various types of additive manufacturing (powder bed fusion, directed energy deposition, binder jetting, and sheet lamination) use very different approaches to produce materials/geometries. The material properties (e.g. porosity/density, strength, surface roughness, hardness) of additively manufactured materials differ from the traditional ones and strongly depend on the applied 3D printing parameters. Therefore, a crucial research direction is how the parameters affect the material properties. Currently, 3D metal printing technologies have limitations in the achievable geometrical accuracy and surface roughness. Therefore, they can rarely be used for part production without further machining. For high-quality requirements, an additional subtractive machining procedure is usually required. Consequently, another intensively researched topic is the machinability of 3D metal printed materials. The industry is increasingly demanding to integrate different manufacturing processes (additive and subtractive technologies) into one machine. These hybrid machines have the advantage that they can produce high-quality parts in one step.
Adhesive Bonding of Carbon Fiber Reinforced Polymer Composite
Authors: Kovács P I 
Published: October 2024

Abstract
Carbon fiber reinforced polymer composites are important and widely used material in today’s manufacture and automotive. It produces a high demand to research the material, therefore industrial sectors can improve. Developing industry and strict requirements leads us to use this type of material in different applications where we need to use bonding technologies. The exploration of bonding technologies is necessary, and adhesive bonds offer a promising alternative. This paper examines the adhesive bonding of carbon fiber composites using a high strength two-component epoxy.
Ultra-thin V2O5 nanowires: synthesis and gas sensing characteristics
Authors: Do Quang Dat , Chu Manh Hung , Nguyen Van Duy , Lam Van Nang , Vo Thi Lan Phuong , Chu Thi Xuan , Nguyen Duc Hoa 
Published: October 2024

Abstract
This study presents the synthesis of vanadium oxide nanowires via a simple hydrothermal method and explores their potential as high-performance sensors for monitoring harmful gases, with a particular focus on NO2. The microstructure and morphology of the nanowires were characterized using scanning electron microscopy, powder x-ray diffraction, and Raman spectroscopy. The vanadium oxide nanowire material demonstrates outstanding NO2 gas sensing capabilities, detecting 5 ppm with a rapid response and high sensitivity at an optimal working temperature of 150 °C. It exhibits a relative resistance change of 70%, showcasing a sub-ppm detection limit. The V2O5 nanowires exhibited good stability and high gas selectivity for NO2 over other interfering gases (H2S, NH3, C2H4, and CO). The ultrathin structure of the nanowires holds promise for practical applications in developing NO2 gas sensors. The study sheds light on the superior sensitivity of the V2O5 gas sensor toward NO2 at low temperatures, emphasizing the influence of the 1D structure on the sensing mechanism.
Two simple modifications to the World Falls Guidelines algorithm improves its ability to stratify older people into low, intermediate and high fall risk groups
Authors: Hicks Cameron , Menant Jasmine , Delbaere Kim , Sturnieks Daina L , Brodaty Henry , Sachdev Perminder S , Lord Stephen R 
Published: October 2024

Abstract

Background
We conducted a secondary analysis of a cohort study to examine the World Falls Guidelines algorithm’s ability to stratify older people into sizable fall risk groups or whether minor modifications were necessary to achieve this.

Methods
Six hundred and ninety-three community-living people aged 70–90 years (52.4% women) were stratified into low, intermediate and high fall risk groups using the original algorithm and a modified algorithm applying broader Timed Up and Go test screening with a &gt;10-s cut point (originally &gt;15 s). Prospective fall rates and physical and neuropsychological performance among the three groups were compared.

Results
The original algorithm was not able to identify three sizable groups, i.e. only five participants (0.7%) were classified as intermediate risk. The modified algorithm classified 349 participants (50.3%) as low risk, 127 participants (18.3%) as intermediate risk and 217 participants (31.3%) as high risk. The sizable intermediate-risk group had physical and neuropsychological characteristics similar to the high-risk group, but a fall rate similar to the low-risk group. The high-risk group had a significantly higher rate of falls than both the low- [incidence rate ratio (IRR) = 2.52, 95% confidence interval (CI) = 1.99–3.20] and intermediate-risk groups (IRR = 2.19, 95% CI = 1.58–3.03).

Conclusion
A modified algorithm stratified older people into three sizable fall risk groups including an intermediate group who may be at risk of transitioning to high fall rates in the medium to long term. These simple modifications may assist in better triaging older people to appropriate and tailored fall prevention interventions.
Elevational shifts in reproductive ecology indicate the climate response of a model chasmophyte, Rainer’s bellflower (Campanula raineri)
Authors: Villa Sara , Magoga Giulia , Montagna Matteo , Pierce Simon 
Published: October 2024

Abstract

Background and aims
Elevation gradients provide ‘natural experiments’ for investigating plant climate change responses, advantageous for the study of protected species and life forms for which transplantation experiments are illegal or unfeasible, such as chasmophytes with perennial rhizomes pervading rock fissures. Elevational climatic differences impact mountain plant reproductive traits (pollen and seed quality, sexual vs. vegetative investment) and pollinator community composition; we investigated the reproductive ecology of a model chasmophyte, Campanula raineri Perp. (Campanulaceae), throughout its current elevational/climatic range to understand where sub-optimal conditions jeopardise survival. We hypothesised that: 1) reproductive fitness measures are positively correlated with elevation, indicative of the relationship between fitness and climate; 2) C. raineri, like other campanulas, is pollinated mainly by Hymenoptera; 3) potential pollinators shift with elevation.

Methods
We measured pollen and seed quality, seed production, the relative investment in sexual vs. vegetative structures and vegetative (Grime’s CSR) strategies at different elevations. Potential pollinators were assessed by combining molecular and morphological identification.

Key results
Whereas CSR strategies were not linked to elevation, pollen and seed quality were positively correlated, as was seed production per fruit (Hypothesis 1 is supported). The main pollinators of C. raineri were Apidae, Andrenidae, Halictidae (Hymenoptera) and Syrphidae (Diptera), probably complemented by a range of occasional pollinators and visitors (Hypothesis 2 partially supported). Potential pollinator communities showed a taxonomic shift towards Diptera with elevation (particularly Anthomyiidae and Muscidae) and away from Hymenoptera (Hypothesis 3 was supported).

Conclusions
Pollinator availability is maintained at all elevations by taxon replacement. However, reduced pollen quality and seed production at lower elevations suggest an impact of climate change on reproduction (especially &lt;1200 m a.s.l., where seed germination was limited). Aside from guiding targeted conservation actions for C. raineri, our results highlight problems that may be common to mountain chasmophytes worldwide.
scPanel: a tool for automatic identification of sparse gene panels for generalizable patient classification using scRNA-seq datasets
Authors: Xie Yi , Yang Jianfei , Ouyang John F , Petretto Enrico 
Published: October 2024

Abstract
Single-cell RNA sequencing (scRNA-seq) technologies can generate transcriptomic profiles at a single-cell resolution in large patient cohorts, facilitating discovery of gene and cellular biomarkers for disease. Yet, when the number of biomarker genes is large, the translation to clinical applications is challenging due to prohibitive sequencing costs. Here, we introduce scPanel, a computational framework designed to bridge the gap between biomarker discovery and clinical application by identifying a sparse gene panel for patient classification from the cell population(s) most responsive to perturbations (e.g. diseases/drugs). scPanel incorporates a data-driven way to automatically determine a minimal number of informative biomarker genes. Patient-level classification is achieved by aggregating the prediction probabilities of cells associated with a patient using the area under the curve score. Application of scPanel to scleroderma, colorectal cancer, and COVID-19 datasets resulted in high patient classification accuracy using only a small number of genes (&lt;20), automatically selected from the entire transcriptome. In the COVID-19 case study, we demonstrated cross-dataset generalizability in predicting disease state in an external patient cohort. scPanel outperforms other state-of-the-art gene selection methods for patient classification and can be used to identify parsimonious sets of reliable biomarker candidates for clinical translation.
MLSNet: a deep learning model for predicting transcription factor binding sites
Authors: Zhang Yuchuan , Wang Zhikang , Ge Fang , Wang Xiaoyu , Zhang Yiwen , Li Shanshan , Guo Yuming , Song Jiangning , Yu Dong-Jun 
Published: October 2024

Abstract
Accurate prediction of transcription factor binding sites (TFBSs) is essential for understanding gene regulation mechanisms and the etiology of diseases. Despite numerous advances in deep learning for predicting TFBSs, their performance can still be enhanced. In this study, we propose MLSNet, a novel deep learning architecture designed specifically to predict TFBSs. MLSNet innovatively integrates multisize convolutional fusion with long short-term memory (LSTM) networks to effectively capture DNA-sparse higher-order sequence features. Further, MLSNet incorporates super token attention and Bi-LSTM to systematically extract and integrate higher-order DNA shape features. Experimental results on 165 ChIP-seq (chromatin immunoprecipitation followed by sequencing) datasets indicate that MLSNet consistently outperforms several state-of-the-art algorithms in the prediction of TFBSs. Specifically, MLSNet reports average metrics: 0.8306 for ACC, 0.8992 for AUROC, and 0.9035 for AUPRC, surpassing the second-best methods by 1.82%, 1.68%, and 1.54%, respectively. This research delineates the effectiveness of combining multi-size convolutional layers with LSTM and DNA shape-based features in enhancing predictive accuracy. Moreover, this study comprehensively assesses the variability in model performance across different cell lines and transcription factors. The source code of MLSNet is available at https://github.com/minghaidea/MLSNet.
A systematic review and meta-analysis of psychiatric diseases in individuals with primary hyperhidrosis
Authors: Henning Mattias A S , Barati Farnam , Jemec Gregor B E 
Published: October 2024

Abstract
Primary hyperhidrosis is associated with a substantial mental burden. In this study, the objective was to compare the occurrence of psychiatric diseases in individuals with and without primary hyperhidrosis by systematically reviewing the literature and conducting a meta-analysis. The PRISMA statement and the MOOSE checklist were employed. Cochrane Library, Embase and PubMed were searched. The risk of bias was determined by the Newcastle–Ottawa Scale. A random effects model was employed in the meta-analysis. Fifteen studies met the eligibility criteria, encompassing 50 429 participants with hyperhidrosis and 182 464 control participants. Hyperhidrosis was associated with increased odds of anxiety (odds ratio 3.5, 95% confidence interval 1.0–11.8) and depression (odds ratio 2.4, 95% confidence interval 1.4–4.0). Studies using outcome definitions for anxiety and depression and not included in the meta-analysis showed similar results. Studies reporting on other morbidities (i.e. body dysmorphic disorder, social phobia and stress) found a higher occurrence of these outcomes in the individuals with hyperhidrosis than in the control participants. Primary hyperhidrosis is associated with anxiety and depression. These results acknowledge the psychiatric burden that patients with primary hyperhidrosis experience.
Design and cohort characteristics of TRACK, a prospective study of hyperkalaemia management decision-making
Authors: Hsia Judith , Shivappa Nitin , Bakhai Ameet , Bover Jordi , Butler Javed , Ferraro Pietro Manuel , Fried Linda , Schneider Markus P , Tangri Navdeep , Winkelmayer Wolfgang C , Bishop Meredith , Chen Hungta , Sundin Anna-Karin , Bonaca Marc P 
Published: October 2024

ABSTRACT

Background
Guideline-recommended hyperkalaemia management includes dietary potassium (K+) restriction, bicarbonate correction, diuretics and K+ binders with dose reduction of renin–angiotensin–aldosterone system inhibitors as a last resort. The extent to which these recommendations are implemented is uncertain, as real-world data on hyperkalaemia management are limited. The Tracking Treatment Pathways in Adult Patients with Hyperkalemia (TRACK) study is a multinational, prospective, longitudinal study that is being conducted to address this knowledge gap. We report the design and baseline cohort characteristics of this real-world study of hyperkalaemia management decision-making.

Methods
This study enrolled participants within 21 days of an episode of hyperkalaemia in four European countries (UK, Spain, Germany, Italy) and the USA. During the 12-month follow up, data collected will include participant and healthcare provider characteristics (specialty and practice setting), hyperkalaemia treatment objectives and strategies, rationale for management decisions and indicators of response and patient-reported perceptions of their hyperkalaemia treatment.

Results
The enrolled cohort includes 1330 participants, mean age 68 years, of whom 31% were women. At baseline, 6% reported heart failure, 55% chronic kidney disease, 29% both and 9% neither. Most participants (57%) were taking an angiotensin-converting enzyme inhibitor, angiotensin receptor blocker or angiotensin receptor/neprilysin inhibitor at baseline. Mineralocorticoid receptor antagonist use was lower (14%).

Conclusions
The prospective TRACK study will shed light on practitioners’ hyperkalaemia management decision-making and assess the impact of their decisions on hyperkalaemia recurrence. Understanding practitioners’ underlying thought processes will facilitate efforts to improve hyperkalaemia management.
ClinicalTrials.gov: NCT05408039
N-terminal pro-B-type natriuretic peptide, eGFR, and progression of kidney disease in chronic kidney disease patients without heart failure
Authors: Lu Yi , Chen Junzhe , Su Licong , Lukwaro Andrew Fanuel , Zhou Shiyu , Zheng Shaoxin , Luo Yuxin , Fu Sha , Nie Sheng , Tang Ying 
Published: October 2024

ABSTRACT

Background
Cardiorenal syndrome highlights the bidirectional relationship between kidney and heart dysfunction. N-terminal pro-B-type natriuretic peptide (NT-proBNP), which is the gold standard biomarker in heart failure (HF), may be an important biomarker for chronic kidney disease (CKD) progression. However, NT-proBNP is negatively related with estimated glomerular filtration rate (eGFR). In this study, we investigated the association of NT-proBNP, eGFR, and progression of kidney disease in CKD patients without HF.

Methods
This multicentric retrospective cohort study recruited 23 860 CKD patients without HF, who had at least one NT-proBNP record from China Renal Data System database. Linear regression model evaluated the relationship between eGFR and NT-proBNP. Cox regression analysis assessed the association between NT-proBNP and CKD progression. Sensitivity analysis examined the robustness of the main findings.

Results
This study involved 23 860 CKD patients without HF, distributed across different CKD stages: 10 526 in stages G1-2, 4665 in G3a, 3702 in G3b, 2704 in G4, and 2263 in G5. NT-proBNP was negatively correlated with eGFR, particularly in stages 4–5 CKD. A 15-unit decrease in eGFR was associated with increases in log (NT-proBNP) levels by 1.04-fold, 1.27-fold, 1.29-fold, 1.80-fold, and 3.50-fold for stages 1–2, 3a, 3b, 4, and 5, respectively. After excluding patients who developed CKD progression within 1 year, the Cox regression analysis revealed that the relationship between NT-proBNP and CKD progression was not significant in stages 4 and 5. However, for stages 1–3, each standard deviation increase in log (NT-proBNP) was associated with a 26%, 36%, and 28% higher risk of CKD progression, with P interaction ≤.001. The hazard ratios were 1.26 (95% confidence intervals (CI), 1.18 to 1.35), 1.36 (95% CI, 1.22 to 1.51), and 1.28 (95% CI, 1.14 to 1.43) for stages 1–2, stage 3a, and stage 3b, respectively.

Conclusions
Despite its strong inverse association with eGFR, NT-proBNP was positively associated with the risk of progression of kidney disease in CKD patients with stages 1–3 without HF. Future studies should investigate the effectiveness of NT-proBNP as a predictive biomarker for the progression of kidney disease across diverse racial groups and healthcare settings.
In vitro and in vivo evaluation of a novel wired transmission pH-combined photographic catheter for ambulatory gastroesophageal reflux monitoring (with videos)
Authors: Hu Xiaoyu , Tang Bofu , Zhang Yifan , Hao Jinyong , Feng Jie , Huang Xiaojun 
Published: October 2024

Summary
Twenty-four-hour pH-impedance monitoring is an important diagnostic approach for gastroesophageal reflux disease (GERD). Reflux monitoring results cannot be synchronized with ambulatory motility imaging of the esophageal sphincter. We have designed a novel wired transmission pH-combined photographic catheter (WT-CPC) for the synchronous acquisition of reflux image and pH. Different patterns of reflux events were simulated to perform in a porcine gastroesophageal reflux model in vitro. The live porcine model of gastroesophageal reflux was established in three Bama pigs. Monitoring was conducted with the WT-CPC and pH-impedance catheter simultaneously. Measurements included the number and proportion of reflux events, as well as acid exposure time (AET). The detection rates of WT-CPC for distal and horizontal acid reflux events were significantly higher compared to those of pH-impedance catheters (100% vs. 14.29%, 100% vs. 57.14%, P &lt; 0.05). There was no significant difference between the two methods in proximal acid reflux events (P = 0.217). Regarding mixed reflux events, WT-CPC exhibited higher detection rates for distal events than pH-impedance catheter (100% vs. 42.86%, P &lt; 0.05). However, there was no significant difference between the two methods for proximal reflux events (P &gt; 0.05). Both methods showed similar results for horizontal reflux events. A porcine gastroesophageal reflux model was successfully established and utilized for reflux monitoring. A total of 28 episodes of reflux were detected within 6.5 min. The detection rate achieved by WT-CPC for reflux events was significantly higher than that obtained by pH-impedance (100% vs. 78.57%, P = 0.023). The WT-CPC has demonstrated reflux monitoring capabilities in an isolated reflux organ model. It also showed good operability and performance in the porcine model. The WT-CPC holds promising potential to provide valuable diagnostic evidence for GERD.
The efficacy of loco-regional ropivacaine analgesia via intercostal catheters after lung resection: a randomized, double-blind, placebo-controlled, superiority study
Authors: Hojski Aljaz , Krämer Monica , Gecas Paulius , Djakovic Zeljko , Tsvetkov Nikolay , Mallaev Makhmudbek , Bolliger Daniel , Lampart Andreas , Lardinois Didier 
Published: October 2024

Abstract

OBJECTIVES
Postoperative pain remains a burden for patients after minimally invasive anatomic lung resection. Current guidelines recommend the intraoperative placement of intercostal catheters to promote faster recovery. This trial aimed to determine the analgesic efficacy of continuous loco-regional ropivacaine application via intercostal catheter and establish this method as a possible standard of care.

METHODS
Between December 2021 and October 2023, patients were randomly assigned to receive ropivacaine 0.2% or a placebo through an intercostal catheter with a flow rate of 6–8 ml/h for 72 h after surgery. Patients were undergoing anatomic VATS lung resection under general anaesthesia for confirmed or suspected stage I lung cancer (UICC, 8th edition). The sample size was calculated to assess a difference in numerical rating scale associated with pain reduction of 1.5 points.

RESULTS
Fourteen patients were included in the ropivacaine group, whereas the placebo group comprised 18 participants. Patient characteristics and preoperative pain scores were similar in both groups. There was no statistically significant difference in postoperative pain scores and morphine consumption between the 2 groups. The mean numerical rating scale when coughing during the first 24 h postoperatively was 4.9 (SD: 2.2) in the ropivacaine group and 4.3 (SD: 2.4); P = 0.47 in the placebo group. We were unable to determine any effect of administered ropivacaine on the postoperative pulmonary function (FEV1, PEF).

CONCLUSIONS
Our preliminary results suggest that continuous loco-regional ropivacaine administration via surgically placed intercostal catheter has no positive effect on postoperative pain scores or morphine requirements.

CLINICAL REGISTRATION NUMBER
NCT04939545