bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Trends and Disparities in 24-hour Movement Behaviors among US Youth with Mental, Behavioral and Neurodevelopmental Conditions
Authors: Hou Meijun , Herold Fabian , Cheval Boris , Owen Neville , Teychenne Megan , Gerber Markus , Ludyga Sebastian , Damme Tine , Hossain M. Mahbub , Yeung Albert S , Raichlen David , Hallgren Mats , Pindus Dominika , Maltagliati Silvio , Werneck André O. , Kramer Arthur F. , Smith Ashleigh E. , Collins Audrey M. , Erickson Kirk I. , Healy Sean , Haegele Justin A. , Block Martin E , Lee Eun Young , García-Hermoso Antonio , Stamatakis Emmanuel , Liu-Ambrose Teresa , Falck Ryan S. , Zou Liye 
Published: March 2024

Abstract

Background
Meeting 24-hour movement behaviors (24-HMB: physical activity [PA], screen time [ST], and sleep [SL]) recommendations may be associated with positive health outcomes among youth with specific mental, behavioral, and neurodevelopmental (MBD) conditions. However, temporal trends and disparities in meeting 24-HMB guidelines in these higher-risk groups have not been investigated, hampering the development of evidence-based clinical and public health interventions.
Methods
Serial, cross-sectional analyses of nationally representative data (including U.S. youth aged 6–17 years with MBD conditions) were conducted. The time-trends survey data was conducted between 2016 and 2021. Meeting single-behavior and integrated 24-HMB guidelines were operationalized as follows: PA ≥ 60 min/d moderate-to-vigorous-intensity PA, no more than 2 h/d of ST, and a sleep duration of 9 to 11 h/d for those aged 6 to 13 years (children) and 8 to 10 h/d for those aged 14 to 17 years (adolescents).
Results
Data on 52,634 individuals (mean age, 12.0 years [SD,3.5]; 28,829 [58.0%] boys) were analyzed. From 2016 to 2021, the estimated trend of meeting SL guideline alone increased (3.7% [95%CI,3.2–4.9%], P for trend < 0.001), whereas meeting ST guideline alone decreased (-2.0% [-2.4% to -1.5%], P for trend < 0.001). The estimated trend in meeting integrated (PA + ST + SL) guidelines declined (-0.8% [95%CI, -1.0% to -0.5%], P for trend < 0.001), whereas meeting none of 24-HMB guidelines increased (2.2% [1.8–2.6%], P for trend < 0.001). White participants, children, and boys reported higher estimated prevalence of meeting full integrated (PA + ST + SL) guidelines.
Discussion
The temporal trends observed in this study highlight the importance of consistently monitoring physical behavior among MBD youth and identifying variations by sociodemographic groups in meeting 24-HMB guidelines for health promotion within these vulnerable groups.
Synthesis of Caprolactam through Dehydration and Cyclization of 6-Hydroxycaproamide
Authors: Zhai Chenghan , Ma Zhengxiang , Wang Yanji 
Published: March 2024

Abstract
The study focuses on the dehydration and cyclization of 6-hydroxycaproamide, a key raw material, into ε-caprolactam (CPL), an important polymer precursor. A bimetallic catalyst, Ru-Co/TiO2, was prepared using the impregnation method and characterized using XRD, XPS, H2-TPR, and TEM. The investigation delves into the impact of various parameters, including metal loading, choice of solvent, solvent ratio, catalyst dosage, and reaction time, on the yield of the final product. The findings demonstrate a significant synergistic effect between Ru and Co in the bimetallic Ru5Co6/TiO2 catalyst, leading to improved catalytic performance. Under the optimized reaction conditions (250°C, 1 MPa N2, 1,4-dioxane: NH3·H2O = 2:1 as the solvent ratio), the conversion rate of 6-hydroxycaproamide (6-HCM) reaches 99.0%, with a CPL yield of 62.2%.
Correlation of protein binding pocket properties with hits’ chemistries used in generation of ultra-large virtual libraries
Authors: Song Robert X. , Nicklaus Marc C. , Tarasova Nadya I. 
Published: March 2024

Abstract
Although the size of virtual libraries of synthesizable compounds is growing rapidly, we are still enumerating only tiny fractions of the drug-like chemical universe. Our capability to mine these newly generated libraries also lags their growth. That is why fragment-based approaches that utilize on-demand virtual combinatorial libraries are gaining popularity in drug discovery. These à la carte libraries utilize synthetic blocks found to be effective binders in parts of target protein pockets and a variety of reliable chemistries to connect them. There is, however, no data on the potential impact of the chemistries used for making on-demand libraries on the hit rates during virtual screening. There are also no rules to guide in the selection of these synthetic methods for production of custom libraries. We have used the SAVI (Synthetically Accessible Virtual Inventory) library, constructed using 53 reliable reaction types (transforms), to evaluate the impact of these chemistries on docking hit rates for 39 well-characterized protein pockets. The data shows that the hit rates differ significantly for different chemistries with cross coupling reactions such as Sonogashira, Suzuki-Miyaura, Hiyama and Liebeskind-Srogl coupling producing the highest hit rates. Hit rates appear to depend not only on the property of the formed chemical bond but also on the diversity of available building blocks and the scope of the reaction. The data identifies reactions that deserve wider use through increasing the number of corresponding building blocks and suggests the reactions that are more effective for pockets with certain physical and hydrogen bond-forming properties.
Comparative Analysis of Text Mining and Clustering Techniques for Assessing Functional Dependency between Manual Test Cases
Authors: Tahvili Sahar , Hatvani Leo , Felderer Michael , Gomes Francisco , Feldt Robert 
Published: March 2024

Abstract
Text mining techniques have garnered increasing interest for qualitative data analysis in software testing, especially with the advent of machine learning for natural language processing. However, the intricate nature of text mining techniques can pose challenges to their applicability, particularly in domains characterized by safety-critical systems. In such contexts, simpler and more transparent solutions may be preferable unless they significantly compromise accuracy. This study explores the trade-off between complexity, effort, accuracy, and utility of text mining and clustering technologies. The study evaluates the performance of different techniques in the context of detecting functional dependencies between manual integration test cases within safety-critical systems. Empirical data from an industrial testing project conducted at ALSTOM Sweden is used to assess the effectiveness of these techniques. The findings shed light on the comparative effectiveness of various text mining and clustering approaches in the specific context of safety-critical systems, providing insights for practitioners and researchers.
Dynamic Changes of Intrinsic Brain Activity and Neurotransmitter Defect Profile in Patients with Lifelong Premature Ejaculation
Authors: Yuan Jiarui , Nie Dingxin , Liu Chengxiang , Wang Pinxiao , Zheng Wanxiang , Liu Kepu , Feng Jianyong , Zhang Yuntao , Wang Yanzhu , Liu Peng , Gao Junjun , Gao Ming 
Published: March 2024

Abstract
Lifelong premature ejaculation (LPE) is a vexing male sexual disorder potentially linked to brain dysfunctions, although the precise mechanisms remain unclear. Data of resting state functional magnetic resonance imaging was acquired from 46 LPE patients and 35 male healthy controls. We firstly investigated altered temporal variability of spontaneous brain activity fluctuations of LPE patients using sliding-window approach. Secondly, the correlation analysis was performed between brain areas with abnormal brain dynamics and clinical characteristics. Finally, the relationship between brain dynamic abnormalities and the impairments of specific neurotransmitter systems in LPE patients was assessed using JuSpace. Dynamic analysis revealed that LPE patients had decreased dynamic regional homogeneity (dReHo) in the precentral gyrus, supplementary motor area (SMA), frontal gyrus, rolandic operculum and increased dReHo in the lingual gyrus (LING), precuneus, calcarine cortex, fusiform gyrus. While analysis also revealed that LPE patients had decreased dynamic amplitude of low-frequency fluctuations (dALFF) in the LING gyrus, occipital cortex, and increased dALFF in the cuneus, postcentral gyrus. Correlation analysis exhibited the mean dReHo of left SMA was positive associated with the ejaculation latency time (IELT) scores. Moreover, aberrant brain dynamic was significantly associated with the spatial distribution of serotonin and endogenous opioid peptide pathways. Our study indicates LPE patients brain dynamic abnormality involved in multiple brain networks, and suggests that the LPE pathophysiology may be involved in neurotransmitter system imbalances. We hope our findings may offer fresh insights into the mechanisms of LPE and potential avenues for treatment in future.
Representation of multimorbidity and frailty in the development and validation of kidney failure prognostic prediction models: a systematic review
Authors: Walker Heather , Day Scott , Grant Christopher H. , Jones Catrin , Ker Robert , Sullivan Michael K. , Jani Bhautesh Dinesh , Gallacher Katie , Mark Patrick B. 
Published: March 2024

Abstract

Background and hypothesis: Prognostic models that identify individuals with chronic kidney disease (CKD) at greatest risk of developing kidney failure help clinicians to make decisions and deliver precision medicine. It is recognised that people with CKD usually have multiple long-term health conditions (multimorbidity) and often experience frailty. We undertook a systematic review to evaluate the representation and consideration of multimorbidity and frailty within CKD cohorts used to develop and/or validate prognostic models assessing the risk of kidney failure.
Methods: We identified studies that described derivation, validation or update of kidney failure prognostic models in MEDLINE, CINAHL Plus and the Cochrane Library – CENTRAL. The primary outcome was representation of multimorbidity or frailty. The secondary outcome was predictive accuracy of identified models in relation to presence of multimorbidity or frailty.
Results: 97 studies, reporting 121 different kidney failure prognostic models were identified. Two studies reported prevalence of multimorbidity and a single study reported prevalence of frailty. The rates of specific co-morbidities were reported in a greater proportion of studies: 67.0% reported baseline data on diabetes, 54.6% reported hypertension, and 39.2% reported cardiovascular disease. No studies included frailty in model development and only one study considered multimorbidity as a predictor variable. No studies assessed model performance in populations in relation to multimorbidity. A single study assessed associations between frailty and the risks of kidney failure and death.
Conclusions: There is a paucity of kidney failure risk prediction models that consider the impact of multimorbidity and/or frailty, resulting in a lack of clear evidence-based practice for multimorbid or frail individuals. These knowledge gaps should be explored to help clinicians know whether these models can be used for CKD patients who experience multimorbidity and/or frailty.
Systematic review registration: This review has been registered on PROSPERO (CRD42022347295).
Human Capital impact on productivity in Chinese enterprises: analyzing the mediating role of innovation
Authors: Nie Xia 
Published: March 2024

Abstract
Human capital can increase productivity by enhancing the innovation, creativity, and technological levels of enterprises. However, it can threaten productivity if inappropriately designed and structured since education and training consume resources like time and finance. This research investigates the impact of human capital on productivity among enterprises in China between 2008 and 2015, using a fixed-effects model. In addition, it measures this impact among enterprises with different levels of productivity levels using the quantile regression technique. Moreover, it examines the moderating role of innovation in this impact by employing the moderating regression method. The results confirm the beneficial impacts of human capital including education, technical skills, and work experience on productivity in Chinese enterprises in the comprehensive analysis. This impact differs in enterprises with various levels of productivity as workers with doctorate and master degrees and middle technical skills indicate higher constructive impacts on productivity. The results of the mediating examination reveal the considerable mediating role of innovation in this impact. These findings highlight the importance of human resource management in enterprises and imply that enterprises with high productivity levels involve complex and advanced systems needing further educated and skillful workers. Therefore, managers should promote investment in human resources and R&D endeavors to escalate productivity, especially in enterprises with higher levels of productivity and technology at the microeconomic level.
Measurements of White-to-White Corneal Diameter and Anterior Chamber Parameters using the Pentacam AXL Wave and their correlations in the Adult Saudi population
Authors: Alotaibi Wafa M. , Challa Naveen , Alrasheed Saif H. , Abanmi Rahaf Nasser 
Published: March 2024

Abstract
Purpose
To report the distribution and association between white-to-white corneal diameter and anterior chamber parameters in the Saudi adult population.
Methods
Cross-sectional prospective study consisting of 82 Saudi adults. White-to-white corneal diameter, anterior chamber angle, anterior chamber depth, and axial length were collected from healthy subjects using the Pentacam AXL Wave in a tertiary eye care setting.
Results
Mean white-to-white corneal diameter, anterior chamber angle, anterior chamber depth, and axial length were 11.95 ± 0.39 mm, 37.94 ± 5.01°, 2.97 ± 0.31 mm and 23.93 ± 0.97 mm, respectively. A significant moderate correlation was found between white-to-white corneal diameter and anterior chamber angle (r = 0.31, p ≤ 0.01), anterior chamber depth (r = 0.49, p ≤ 0.01), and axial length (r = 0.50, p ≤ 0.01) and between anterior chamber angle and anterior chamber depth (r = 0.71, p ≤ 0.01). Furthermore, age was moderately correlated with anterior chamber angle (r = 0.44, p 0.01) and anterior chamber depth (r = 0.39, p 0.01) and weakly correlated with white-to-white corneal diameter (r = 0.17, p = 0.12). Males had a significantly (p < 0.01) higher white-to-white corneal diameter (12.12 ± 0.38 mm) than females (11.84 ± 0.36.mm).
Conclusion
Reference values for white-to-white corneal diameter and anterior chamber parameters would help eye care professionals choose the right lenses for cataract and refractive surgeries as well as in diagnosing glaucoma and corneal disorders.
Different Lipidomic Signatures between proximal and distal adipose tissue in diabetic nephropathy
Authors: Huang Yuhong , Zheng Xiaodi , Yang Mengxue , Jin Lulu , Zhang Rui , Wu Yueyue , Li Fei , Yang Bo , Liu Jun 
Published: March 2024

Abstract
Perinephric adipose tissue (PRAT) is a component of visceral adipose tissue that is considered an important factor in maintaining renal homeostasis. PRAT has a close relationship with the kidney. Under metabolic dysfunction, PRAT inflammation may precede the damage of blood sugar to the kidney. Whether there is a difference between proximal and distal lipids of PRAT and its significance are not clear. For this reason, we used the nontargeted absolute quantitative method for lipid analysis. The nontargeted analysis method can distinguish various types of lipids in a sample. Absolute quantification of lipids against an internal standard can not only determine the difference in lipid levels between groups but also yield the absolute concentration of lipids in each group. Therefore, we compared the amount and lipid level of PRAT between diabetic kidney disease (DKD) mice and nondiabetic mice and the difference in the lipid spectrum between proximal (within 5 mm from the kidney) and distal (outside 5 mm from the kidney) PRAT in DKD mice. The results showed that DKD mice had significantly more PRAT than the control group. Lipid proteomics found that PRAT in the DKD group significantly differed from that in the control group in glycerides, sphingolipids and phospholipids. Glycerides, including TG (41:10e), TG (43:4), TG (45:7e), TG (52:6) and TG (71:5), were significantly upregulated in PRAT of DKD mice, while TG(56:8e) and TG(55:1) were downregulated. The sphingolipids cer(d36:2), cer(d36:1), cer(d34:2), cer(d34:1) and cerP(t39:3) and the phospholipids PC (38:4), PS (36:4), PS(38:4), PI(42:0), CL(85:1) and CL(76:6) were significantly upregulated in the PRAT of the DKD mice, whereas LPE(16:1e) and PG(41:0) were significantly downregulated. TG(38:3), TG(50:5), TG(52:12e) and TG(56:9e) in the proximal end of PRAT in the DKD group were higher than they were in the distal end, especially TG(38:3), but the sphingolipids and phospholipids in the proximal end of PRAT in the DKD group were downregulated. Our results show that the amount and lipid level of PRAT are significantly higher in DKD mice than non-DKD mice, and there are differences between proximal and distal PRAT. Lipid metabolism in the perirenal fat microenvironment may be related to DKD. These new insights into the mechanism of DKD may be helpful for developing therapeutic strategies for this disease.
Feasibility of Middle Colic Artery as a Landmark for Superior Mesenteric Artery – First Approach in Laparoscopic Pancreatoduodenectomy: a Prospective Study
Authors: NGUYEN Ham Hoi , NGUYEN Thanh Khiem , TRINH Hong Son , DO Hai Dang , LUONG Tuan Hiep , PHAM Hoan My , LE Van Duy , DO Van Minh , CHANTHA Pisey , PHAM Hong Quang , NGUYEN Dang Vung 
Published: March 2024

Abstract
Background
SMA-first approach in pancreatoduodenectomy (PD) has been widely applied in open surgery as well as laparoscopy. Finding the superior mesenteric artery (SMA), inferior pancreatoduodenal artery (IPDA), first jejunal artery (J1A) has become a great challenge in laparoscopic PD (LPD). Meanwhile, exposing the midde colic artery (MCA) might be a feasible approach to determine SMA, IPDA, and J1A. Our study aims to find the anatomical correlation between MCA and SMA, IPDA, J1A, especially in SMA-first approach LPD from the left.
MethodS
Uncontrolled clinical trial with 33 patients undergoing LPD had preoperative contrast abdominal CT scan to analyze the anatomical relevance between MCA and SMA, J1A, IPDA. The operation was performed starting with exposing MCA in advance to find SMA, J1A and IPDA. The data was analyzed by SPSS 25.0.
Results
90.9% of MCA started at 12–3 o’clock from SMA, the mean distance from the SMA root to the MCA and J1A was 56.4mm and 37.4mm, respectively. The distance between SMA and J1A was 19mm. 72.7% J1A started at 9–12 o’clock, 69.7% J1A and IPDA had a common trunk. 78.8% IPDA started at 3–6 o’clock. 100% of the cases had J1A controlled intraoperatively, 81.8% for IPDA when approached from the left, 3% had MCA injury. The mean time to approach from the left was 98 minutes, median blood loss was 100 ml.
Conclusion
Exposing MCA first helps determine SMA, J1A and IPDA safely, efficiently and faciliates SMA-first approach LPD from the left and complete dissection of the mesopancreas and lymph nodes.
Integrated multi-omics network analysis reveals key metabolic pathways in gastric adenocarcinoma
Authors: Xu Botao , Shi Yuying , Yuan Chuang , Wang Cheng , Chai Jie 
Published: March 2024

Abstract
Gastric adenocarcinoma is one of the most death cause cancers worldwide. Metabolomics is an effective approach for investigating the occurrence and progression of tumors and detecting prognostic biomarkers by studying the profiles of small bioactive molecules. To fully decipher the functional roles of the disrupted metabolites that modulate the cellular mechanism of gastric cancer, integrated multi-omics network methods are critical to map the associations between metabolites and genes. In this study, we constructed a knowledge-based multi-omics network of gastric cancer using the dysregulated metabolites and genes between gastric cancer patients and healthy controls. Topological pathway analysis and gene-protein-metabolite-disease association analysis were conducted, and four key gene-metabolite pathways were identified including eleven metabolites associated with modulated genes. The integrated multi-omics network enables mechanistic investigation and provides a comprehensive overview regarding the investigation of molecular mechanisms of gastric cancer, which facilitates the in-depth understanding of metabolic biomarker roles in gastric cancer.
Evaluating the low-rank coal biodegradation efficiency bioaugmented with activated sludge
Authors: Kozhakhmetova Marzhan , Akimbekov Nuraly , Tastambek Kuanysh 
Published: March 2024

Abstract
Microbiological treatment of coal is considered an effective and environmentally friendly method. In this work, the effect of microbiological impact on low-rank coal after enrichment with activated sludge was studied. Today, the search for new strategies for separating high-value products from low-quality coal represents a huge niche to explore. In connection with this need, efforts have been made to develop methods for coal solubilization through microbial activities. The microcosm was built with the addition of activated sludge and long-term cultivation. Bacterial communities of coal samples consist predominantly of the phyla Actinobacteria, and Proteobacteria, while Firmicutes and Bacteroidetes were the most abundant phyla for activated sludge. The low-quality coal and biodegradation products were characterized using infrared spectroscopy (FT-IR), and excitation-emission matrix spectrofluorimetry. Using the EEM model, the detected fluorophores were observed at specific wavelength positions at peak E, peak O, peak K, peak E1, peak O1, and peak K1. Peak O, Peak E, and Peak K of the six fluorophores showed the existence of naturally occurring organic materials with humic properties. Based on the FTIR results, it was found that in the bioaugmented microcosm, the transformation of coals was faster than that in the control variant. After incubation, the amount of carboxyl groups in the coals increased, most likely as a result of aerobic oxidation of peripheral non-aromatic structural components of brown coal. The results of CLPP showed that samples of activated sludge have a high metabolic activity of the microbial community when compared to coal. This study shows that the addition of exogenous microflora in the form of activated sludge stimulates the transformation of brown coal.