bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adequate Green: A Study on the Impact of Continuous Green Landscape, Both Indoors and Outdoors, on the Physiological and Psychological Recovery of Adolescents
Authors: Wu LinJia , LI DI , Dong Qidi , Mao MeiQin , Yang Qiyong 
Published: February 2024

Abstract
The benefits of green spaces as a public health resource for people's physical and mental well-being are being supported by a growing body of evidence. While most studies only employ limited-duration testing to examine a specific type of green space, our utilization of these resources is continuous and ever-changing. This study takes a unique approach by embracing a continuous green perspective, integrating the beauty of external forest greenery with the concept of vertical green buildings indoors. Using the Recovery Results Scale (ROS), 78 college students were examined for changes in markers while continuously watching a green landscape under stress, with a focus on exploring the relationship between EEG data and stress recovery. The results indicate that β waves, θ waves, RAB, and ROS indicators have a temporal influence, and the trends of physiological and psychological indicators change over time. The beta wave and reactive oxygen species (ROS) readings increase over time. The θ wave peaks at T2 and then gradually decreases, while RAB also decreases over time. EEG channels in the β wave (FP2 and T4), α wave (FP1, F3, F4), and θ wave (FP1, T5, F3, and T6) exhibit significant variations across three time periods.The research findings provide valuable insights into promoting perceptual recovery among adolescents in a continuous green environment. They encourage natural participation and interaction from a dynamic perspective to activate the green conditions of the temporal main effect. The study offers guidance for urban environmental planning and management to create a healthy environment that fosters positive emotions.
Effectiveness of inspiratory muscle training in difficult to wean patients with neuromuscular diseases: A protocol for a randomized controlled trial
Authors: Qiu Xiang , Chen Chanjuan , Lv Lan , Chen Xinyuan , Yang Bihui , Wang Zhiqiang , Ni Jun 
Published: February 2024

Abstract
Background:
Respiratory failure is the main reason for patients with neuromuscular diseases (NMDs) admitted to the intensive care unit (ICU) for mechanical ventilation. Most of these patients have prolonged ventilation time and difficulty in weaning, resulting in prolonged ICU stay and increased medical costs. Inspiratory muscle training, a treatment method for weaning, has been proven by studies to assist weaning, but few studies have included patients with neuromuscular disease. The aims of this study is to investigate whether inspiratory muscle training can help patients with NMDs who have difficulty weaning from ventilators, and to compare the efficacy of inspiratory muscle strength training and endurance training methods in patients with NMDs.
Methods:
This is a 4-week, double-blind, prospective randomized controlled study. 150 patients will be recruited and randomly assigned to either inspiratory muscle strength training (IMST) group or inspiratory muscle endurance training (IMET) group, in a 1:1 ratio. Patients, investigators, and outcome assessors are unaware of treatment allocation. The IMST group receives high-intensity training (5 sets of 6 breaths at a minimum of 50% of maximum inspiratory pressure, MIP) once per day, five days per week for four weeks. The IMET group receives low-intensity training (2 sets of 30 breaths at 30% of MIP) once per day, five days per week for four weeks. The primary outcome measure is the weaning success difference between the IMST group and IMET groups. The Secondary outcomes are the duration of weaning process, length of stay in the ICU, duration of mechanical ventilation, MIP, diaphragm mobility, diaphragm thickness, diaphragm thickening fraction and Rapid Shallow Breathing Index.
Discussion:
The results of the study will provide evidence-based basis for weaning training treatment for patients with neuromuscular diseases and will identify the optimum IMT method for such patients.
Trial registration:
The study was registered on Chinese Clinical Trial Registry: ChiCTR2300071173 on May 6,2023, https://www.chictr.org.cn/bin/project/edit?pid=195557.
High level of soluble tumor necrosis factor receptors is a contributing factor of lower diuresis volume in hemodialysis patients: An exploratory study
Authors: Gonçalves Gabriele T , Santos Luciana M M , Figueiredo Pedro Henrique S , Freitas Jaqueline Paula C , Junior Fidelis Antônio da S , Santos Jousielle Márcia dos , Alves Frederico L , Rodrigues Vanessa G B , Maciel Emílio , Sañudo Borja , Taiar Redha , Bernardo-Filho Mario , Caputo Danúbia Cunha de Sá , Lima Vanessa P , Costa Henrique S , Santos Joyce Noelly Vitor , Gripp Victor L , Mendonça Vanessa A , Lacerda Ana Cristina Rodrigues 
Published: February 2024

Abstract
Objective
The objective of this study was to explore the possible link between inflammatory parameters and diuresis volume in hemodialysis patients.
Methods
Blood samples were collected from sixty hemodialysis patients for the analysis of soluble receptors: 1) tumor necrosis factor (sTNFR1), 2) tumor necrosis factor (sTNFR2), and 3) leptin. Confounding variables, such as gender, age, duration of hemodialysis, Kt/v (a measure of dialysis adequacy), and body composition assessed using the gold standard method (i.e., dual-energy X-ray absorptiometry - DXA), were also systematically evaluated. Data analyses were conducted using both single and multiple regression models, adjusted for the confounding parameters.
Results
Of the total participants, 27 (45%) were classified as anuric, and 33 (55%) as non-anuric. A high sTNFR1 plasma level was associated with a lower volume of diuresis, irrespective of adjustments for confounding parameters (R2 = 25.4%; β = 0.504; p < 0.001).
In conclusion:
Our research supports the hypothesis that a high systemic sTNFR1 level may contribute to the reduced diuresis volume observed in hemodialysis patients.
Unlocking the Carbon Sequestration Potential of Agricultural Soils through Deep Tillage —A Dynamic Life Cycle Analysis Perspective
Authors: Quijano Cindy Carrillo , Filipiak Matthias , Nieder Rolf , Stichnothe Heinz 
Published: February 2024

Abstract
Background
This study assessed deep tillage (DT) as a climate change mitigation strategy, focusing on its historical implementation in Lower Saxony, Germany. Four sites (Drüber, Salzgitter, Elze, and Essemühle) where DT was applied in the 1960s were investigated, and the CANDY carbon balance (CCB) model was used to simulate soil organic carbon (SOC) changes after DT implementation. Additionally, a dynamic life cycle assessment (DLCA) was utilised to evaluate the environmental implications and to quantify the carbon (C) sequestration potential of DTs.
Results
The CCB model accurately captured spatial variations in SOC changes after DT implementation, highlighting Drüber and Salzgitter as the sites with the highest C sequestration. The model's predictions closely matched the measured values, with a relative error between -6.25 and 4.8% and a root mean square error between 0.4 and 0.6, indicating a robust fit of the CCB model at all sites. The sensitivity analysis of the marginal effects revealed that when DT is applied to optimise the SOC increase, crop residues should be retained in the field.
Using the DLCA to assess the long-term effects at all sites after DT was applied, the carbon footprint (CF) of the sequestered SOC ranged from 11.14 t CO2e to 48.73 t CO2e ha-1 for almost 50 years if 100 years was considered the time horizon. Compared to traditional LCA, there was an overestimation of the SOC sequestered, oscillating between 12 and 16% at the sites studied.
Conclusion
Evaluating whether DT can be implemented as an effective strategy for sequestering C involves understanding key factors, including soil processes after DT, and employing precise impact assessments such as DLCA. While soil type and texture (in particular, clay and silt contents) are primary indicators of SOC sequestration, this study revealed that DT, combined with retained crop residues, was positively correlated with SOC increase. Moreover, DT has emerged as an intriguing climate change mitigation strategy for the agricultural sector.
Study on the effects of the diagnosis-related group system on cost control in gastric malignant tumor based on propensity score matching
Authors: An Wenxiu , Bao Lijie , Wang Chenyu , Zheng Mingxin , Zhao Yan 
Published: February 2024

Abstract
Background: The study design evaluates the effects of the diagnosis-related group (DRG) system on the hospitalization expenses of patients with gastric malignancies in China and suggests measures to better control hospitalization expenses and reasonably apply the DRG system.
Methods: The inpatient information of patients with gastric malignant tumors was collected; descriptive statistical analysis, propensity score matching, rank sum test, and other statistical methods were performed; differences in covariates between cases were determined, and the effect of DRG on cost control was analyzed.
Result: Significant differences in age (p < 0.001), the average hospitalization duration (p < 0.001), and the presence or absence of surgical interventions (p = 0.003) were observed the DRG and non-DRG groups. After matching, these differences became insignificant (p > 0.05). The DRG system had a significant effect on controlling the hospitalization expenses of patients with gastric malignant tumors (p < 0.001). Simultaneously, no significant difference in the discharge situation was observed between the DRG and non-DRG groups (p = 0.202).
Conclusions: The DRG system can help effectively control the hospitalization expenses of patients with gastric malignant tumors. We must accelerate the reform of the DRG system and continuously improve medical insurance policies to optimize resource allocation.
Based on multi omics analysis of gut microbiota characteristics in patients with acute pancreatitis and exploring the possible mechanism of its exacerbation trend from the level of microbiota and its metabolites
Authors: Wang Zhenjiang , Guo Mingyi , Yang Sen , Chen Yuping , Cheng Jianbin , Huang Zaiwei , Wang Tongxu , Zhang Weifan , Gama Lamu , Zhaxi Cuomu , Luo Xiaobei , Wang Dali , Xu Xiaohong 
Published: February 2024

Abstract

Specific intestinal metabolites are closely associated with the classification, severity, and necrosis of acute pancreatitis (AP), providing novel insights for in-depth clinical investigation of AP. In this study, the gut microbiota and metabolites of 49 AP patients at different treatment stages and severities were analyzed using 16s RNA sequencing and untargeted metabolomics to investigate the trends observed in severe AP based on gut microbiota composition and metabolome profiles. The findings revealed an imbalance in intestinal flora homeostasis among AP patients characterized by a decrease in probiotics and an increase in opportunistic pathogens, leading to damage to the intestinal mucosal barrier through reduced short-chain fatty acid (SCFA) secretion and disruption of the intestinal epithelium. This dysbiosis further influenced energy metabolism, anti-inflammatory responses, and immune regulation while also highlighting significant differences in energy metabolic pathways. These results suggest that differential composition of intestinal flora along with alterations in intestinal metabolites and metabolic pathways contribute to compromised integrity of the intestinal mucosal barrier as well as disturbances in energy metabolism within severe AP patients.
Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning
Authors: Nwokoro Chukwudi Obinna , Akinnuwesi Boluwaji Ade , Shastri Sourabh , Uzoka Faith-Michael , Inyang Udoinyang G. , Eyoh Imo J. , Duke Onyeabochukwu Augustine , Nwokoro Kelechi Cynthia , Joseph Kingsley U. 
Published: February 2024

Abstract
The significance of maternal health cannot be overemphasized, and the ability to predict maternal outcomes accurately is critical to ensuring the well-being of both mothers and infants. This study presents ConvXGB, a novel predictive model that utilizes a combination of XGBoost, a potent gradient boosting algorithm, and deep learning to extract intricate features. The objective is to enhance precision and robustness of maternal outcome predictions. The study sourced diverse maternal health data from the southern region of Nigeria and implemented Synthetic Minority Over-sampling Technique (SMOTE) to address any dataset imbalances. Results obtain demonstrate a significant improvement in model performance, with an accuracy rate of 97.96% across various maternal outcome classes. The recommendations from this study highlight the potential of ConvXGB in advancing maternal health predictive analytics, supporting informed clinical decision-making, and improving resource allocation. Further studies are warranted to explore the broader applicability of ConvXGB in different healthcare domains through outcome analyses and methodological advancements.
Laboratory Parameters as Determinants for The Course of Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS)
Authors: Galvani Riska Suryani , Danarti Retno , Chu Chia-Yu , Rahman Ferdy Firmansyah , Maharani Cynthia , Febriana Sri Awalia 
Published: February 2024

Abstract

Objective
Drug reaction with eosinophilia and systemic symptoms (DRESS) is a form of severe cutaneous adverse reactions (SCAR) characterized by skin rash, multiorgan involvement and hypereosinophilia. Early prognostic factors identification is essential to prevent an advanced state of the disease. The severity of the disease is in accordance to the duration of the clinical manifestation. Laboratory findings such as lymphocyte count, eosinophils and hepatic transaminase enzyme levels have been reported to affect the symptom duration of DRESS syndrome. This study aimed to determine the correlation between the laboratory findings and the symptom duration of DRESS syndrome at Dr. Sardjito General Hospital, Yogyakarta, Indonesia.
Results
Data were extracted from patients’ medical records and Dr. Sardjito hospital ACDR register of inpatients of the Dermatology and Venereology ward who were treated during January 2016 - December 2020. The total number of patients was 39. Maculopapular erythema, exfoliation, and confluent erythema were the most common types of skin lesions. Eosinophilia and elevated of transaminase enzymes levels were the most common haematological disorders. The most common aetiology was cephalosporin antibacterial drugs. There is a significant positive correlation between the number of lymphocytes, eosinophils, liver transaminase enzyme levels and the symptom duration of DRESS syndrome (p < 0.05).
Exploratory Sensor-based Outcome Measures Show Divergent Slopes of Motor Sign Progression in Parkinson’s Disease Patients Treated with Prasinezumab
Authors: Taylor Kirsten , Lipsmeier Florian , Scelsi Marzia , Volkova-Volkmar Ekaterina , Rukina Daria , Popp Werner , Lambrecht Stefan , Anzures-Cabrera Judith , Summers David , Abt Markus , Monnet Annabelle , Kilchenmann Timothy , Schjodt-Eriksen Jens , Essioux Laurent , Kustermann Thomas , Zago Wagner , Svoboda Hanno , Nikolcheva Tania , Postuma Ronald , Pagano Gennaro , Lindemann Michael 
Published: February 2024

Abstract
Digital health technology (DHT) tools for Parkinson’s disease (PD) such as smartphones and wearable sensors enable remote and frequent measurement of motor signs which may facilitate research on novel treatments for PD. Here, we report the effect of the anti-alpha-synuclein monoclonal antibody prasinezumab on two-year motor sign progression in an early-stage PD population as measured with the Roche PD Mobile Application DHT. 316 early-stage PD participants of the phase 2 PASADENA study (NCT03100149) were randomized to treatment with placebo, 1500 mg, or 4500 mg prasinezumab for 52 weeks (Part 1); and placebo treated patients in Part 1 were re-randomized to 1500 mg or 4500 mg prasinezumab for the ensuing 52 weeks (Part 2, delayed-start group). Patients performed daily motor ‘active tests’ on provisioned study smartphones, carried the phone and wore a smartwatch throughout the day for passive monitoring, over two years. Change from baseline on 17 pre-specified individual sensor features and a summary Simple Sum score were analyzed with linear random slope and intercept models or mixed models for repeated measures, censoring patient data following the start of dopaminergic treatment. Adherence to active testing averaged 5.7 and 5.0 days/week in Parts 1 and 2, respectively. Bilateral speeded tapping variability and hand turning, U-turn speed, the power of passively monitored non-gait hand movements, and the Simple Sum score progressed less in prasinezumab-treated vs placebo at week 52. All findings except hand turning persisted at week 104. While the primary outcome for Part 1 PASADENA (MDS-UPDRS sum of Parts I, II and III) showed no significant difference from placebo, exploratory sensor-based outcome measures showed reduced motor sign progression in prasinezumab-treated individuals with early-stage PD.
Recycling of Poly (Methyl Methacrylate) Waste Sheets to Synthesize Catalyst-Free Bi- Functional Cation Exchange Resin for Sequestering of Toxic Pollutant
Authors: Arif Ruba , Ali Syed Wasim , Saifullah Muhammad , Shahida Shabnam , Iqbal Sajid 
Published: February 2024

Abstract
A simple and green method for the recovery of methyl methacrylate (MMA) has been developed by recycling waste sheets of poly (methyl methacrylate) without using any catalyst. The liquefaction yield was 97.33% while the purity of recovered MMA was up to 92%. The recovered monomer utilized for the synthesis of methylmethacrylate-copolymer-divinylbenzene at 20% cross-linking in the presence of different porogens (methyl isobutylketone, cyclohexane, toluene, and cyclohexanone) by suspension polymerization. The same copolymer was also synthesized but with different cross-linking percentages such as 4, 10, 15, 20, 25, 30, and 40% in the presence of a single porogen (methyl isobutylketone). Different copolymers having pore volumes in the range of 0.120 to 0.682 mL/g were obtained. The pendant –COOCH3 groups within the polymeric chain were converted to –COOH groups via acid hydrolysis, accompanied by the attachment of –SO3H groups to phenyl rings. FTIR, UV-Vis spectrometry and HPLC techniques were used for qualitative and quantitative analyses of–COOH and –SO3H groups. The obtained results were compared with copolymers and resin synthesized using commercial MMA, displaying similar behavior. The resin derived from the recovered monomer was utilized for Co2+ ion removal at various pH levels, demonstrating excellent performance.
FUZRUF-onto: a Methodology to Develop Fuzzy Rough Ontologies
Authors: sanyour rawan 
Published: February 2024

Abstract
Nowadays, semantic web technologies play a crucial role in knowledge representation paradigm. With the raise of imprecise and vague knowledge, there is an upsurge demand in applying a concrete well-established procedure to represent such knowledge. Ontologies, particularly fuzzy ontologies are increasingly applied in application scenarios in which handling of vague knowledge is significant. However, such fuzzy ontologies utilize fuzzy set theory to provide quantitative methods to manage vagueness. In various cases of real-life scenarios, people need to express their everyday requirements using linguistic adverbs such as very, exactly, mostly, possibly, etc. The aim is to show how fuzzy properties can be complemented by Rough Set methods to capture another type of imprecision caused by approximation spaces. Rough sets theory offers a qualitative approach to model such vagueness via describing fuzzy properties at multiple levels of granularity using approximation sets. Using rough-set theory, each fuzzy concept is represented by two approximations. The lower approximation PL(C) consists of a set of fuzzy properties that are definitely observable in the concept. The upper approximation PU(C) on the other hand contains fuzzy properties that are possibly associated with the concept but may not be observed. This paper introduces a methodology named FUZRUF-onto methodology, which is a formal guidance on how to build fuzzy rough ontologies from scratch using extensive research in the area of fuzzy rough combination. Fuzzy set and rough set theories are applied to capture the inherently fuzzy relationships among concepts expressed by natural languages. The methodology provides a very good guideline for formally constructing fuzzy rough ontologies in terms of completeness, correctness, consistency, understandability, and conciseness. To explain how the FUZRUF-onto works, and demonstrate its usefulness, a practical step by step example is provided.
Interfacial thermal transport in combustion-dissociation process at different environments for methane hydrate
Authors: Meng Shuangshuang , Han Jihao , Yuan Kunpeng , Wang Zhaoliang 
Published: February 2024

Abstract
Currently, there is a considerable lack of research on the dissociation of methane hydrate combustion at the microscopic level. In this study, ReaxFF molecular dynamics simulations were used to accurately locate the phase transition interface during methane hydrate combustion-dissociation, and the interfacial heat transport was analyzed for different oxygen-fuel ratios and different combustion atmospheres. The time evolution of interfacial heat flux, interfacial thermal resistance and combustion production is extracted, finding that different ratios of oxygen-fuel and combustion atmospheres have different degrees of influence on the combustion-decomposition of hydrate. The larger ratio of oxygen-fuel, the greater the heat flux at solid-liquid interface, and the faster the dissociation rate of hydrate. Combustion is carried out more stably at the ratio of oxygen-fuel of 0.5. The value of solid-liquid interfacial heat flux at different atmospheres is O2/CO2 > O2/CH4 > O2. During the entire decomposition, the heat flux of burning boundary is greater than the solid-liquid interface under O2/CH4 atmosphere, lasting for about 1600 fs, which is 2.3 times than the pure O2 atmosphere. The heat flux of two interfaces at O2/CO2 atmosphere is the same, and the reactivity of CO2 plays a critical role in the decomposition driving of hydrate by reaction of CO2 + H→CO + OH at high temperature. The study reveals the heat and mass transfer mechanism of the combustion-dissociation process of methane hydrate under different combustion environments, which is of theoretical guidance for the stable combustion and controlled decomposition of hydrate.