bluuebunny/crossref_metadata_2025_split huggingface dataset:
Habitual Water Intake Impacted the Body Composition of Young Male Athletes in Free-Living Conditions: A Cross-Sectional Study
Authors: ZHANG Jianfen , ZHANG Na , LI Yibin , HE Hairong , Song Ge , Chen Junying , YAN Yi , Ma Guansheng 
Published: April 2023

Abstract
The study aimed to explore the associations between water intake and body composition, and to investigate the differences of body composition among young male athletes. A cross-sectional study was conducted among 111 young male athletes in Beijing, China. Total drinking fluids (TDF) and water from food were assessed by a 7-day, 24-hour fluid intake record questionnaire and duplicate portion method, respectively. The osmolality of 24-hour urine and blood samples were tested. The body composition was tested with a bioelectrical impedance analyzer (BIA) twice at 5 minutes interval. According to the recommendations of total water intake (TWI) and TDF of China, participants were divided into two groups, respectively. Participants were divided into three groups according to 24h urine osmolality. Pearson’s correlation coefficients were performed to determine the relationship between water intake and body composition. Chi-square tests and Students’ t tests were used to compare the differences. A total of 109 subjects completed the study. TDF and TWI were positively correlated with total body water (TBW), intracellular water (ICW) and extracellular water (ECW), respectively (r=0.230, p=0.016; r=0.234, p=0.014; r=0.242, p=0.011; r=0.275, p=0.004; r=0.243, p=0.011; r=0.243, p=0.011). The TBW/BW was positively associated with TDF percentage of body weight (TDF/W), water from food percentage of body weight and TWI percentage of body weight (TWI/W), respectively (r=0.267, p=0.005; r=0.217, p=0.024; r=0.316, p=0.001). Participants achieved the recommendation of TDF of China had 1.3kg, 0.9kg, 0.5% higher skeletal muscle mass (SMM), ICW and TBW/BW than those who did not, respectively (all p < 0.05); with the FFM and TBW tended higher (p=0.051; p=0.050). Those met the recommendation of TWI of China had 1.3kg, 2.4 kg, 1.1 kg, 0.6kg and 1.7kg higher SMM, free fat mass (FFM), ICW, ECW and TBW than their counterparts, respectively (all p < 0.05). There were no significant differences in values of body composition among subjects in different hydration groups (all p> 0.05). Moderate associations were found between water intake and body composition. Participants met the recommendation of TWI or TDF had better distribution of body composition than their counterparts. Habitual water intake affected the body composition among athletes in free-living conditions.
Infodemic: Challenges and solutions in topic discovery and data process
Authors: Zhang Jinjin , Pan Yang , Lin Han , Sun Zoubao , Wu Pingping , Tu Juan 
Published: April 2023

Abstract
Background
The COVID-19 pandemic was a huge shock to society, and the ensuing information problems had a huge impact on society at the same time. The urgent need to understand the infodemic, i.e. the importance of the spread of misinformation and rumors related to the epidemic, has been highlighted. However, while there is a growing interest in this phenomenon, studies on the subject discovery, data collection, and data preparation phases of the information analysis process have been lacking.
Objective
Since the epidemic is unprecedented and has not ended to this day, we aimed to examine the existing infodemic-related literature from the beginning of the epidemic to December 2022.
Methods
We have systematically searched ScienceDirect and IEEE Xplore databases with some search limitations. From the searched literature we selected titles, abstracts and keywords, and limitations sections. We conducted an extensive structured literature search and analysis by filtering the literature and sorting out the available information.
Results
A total of 47 papers ended up meeting the requirements of this review. Researchers in all of these literatures encountered different challenges, most of which were focused on the data collection step, with few challenges encountered in the data preparation phase and almost none in the topic discovery section. The challenges were mainly divided into the points of how to collect data quickly, how to get the required data samples, how to filter the data, what to do if the data set is too small, and how to pick the right classifier. In addition, researchers have proposed partial solutions to the challenges, and we have also proposed possible solutions.
Conclusions
This review found that information epidemics is a rapidly growing research area that attracts the interest of researchers from different disciplines. The number of studies in this field has increased significantly in recent years, with researchers from different countries, including the United States, India, and China. Infodemic topic discovery, data collection, and data preparation are not easy, and each step faces different challenges. While there is some research in this emerging field, there are still many challenges that need to be addressed. These findings highlight the need for more articles to address these issues and fill these gaps.
Does month of birth influence colorectal cancer prognosis?
Authors: Martín-Arévalo Jose , Moro-Valdezate David , Pla-Martí Vicente , García-Botello Stephanie , Pérez-Santiago Leticia , Moya-Marcos Pablo , Izquierdo-Moreno Ana , Casado-Rodrigo David , Roselló-Keränen Susana , Espí-Macías Alejandro 
Published: April 2023

Abstract
Purpose
The main aim of this study was to identify a possible association between month of birth of colorectal cancer (CCR) patients and overall survival (OS) or disease-free survival (DFS).
Methods
This observational study included all consecutive adult patients diagnosed with CRC undergoing oncological surgery from January 2005 to December 2019 with a minimum follow-up of 36 months. The outcome variables were locoregional recurrence, death due to cancer progression, OS and DFS. Non-supervised learning techniques (K-means) were conducted to identify groups of months with similar oncologic outcomes. Finally, OS and DFS were analysed using Kaplan-Meier and Cox regression tests.
Results
A total of 2520 patients were included. Three birth month groups with different oncologic outcomes were obtained. Survival analysis showed between-group differences in OS (p < 0.001) and DFS (p = 0.03). The multivariable Cox proportional hazards model identified the clusters obtained as independent prognostic factors for OS (p < 0.001) and DFS (p = 0.031).
Conclusion
There is an association between month of birth and oncologic outcomes of CRC. Patients born in the months of August, September, and November had better OS and DFS than those born in different months of the year.
Prediction and optimal control of fungal contamination of food under the influence of temperature and water content
Authors: Wang Li , Feng Shanfang , Zheng Lang , Jin Xuebo , Wang Xiaoyi , Yu Jiabin , Bai Yuting , Xu Jiping 
Published: April 2023

Abstract
The mildew phenomenon and mycotoxin pollution caused by the mass reproduction of grain fungi seriously endanger food security and people's health. The existing fungal growth models are difficult to accurately describe and predict the fungal growth trend, and can't optimally control the temperature and water content of grain storage environment. This paper constructs a fungal growth model with temperature and water content as the influencing factors to predict the fungal growth trend, and puts forward the optimal control method of temperature and water content during grain storage. Firstly, on the basis of the existing temperature-based microbial growth dynamics model, water influencing factors were added, and the transformation relationship model between colony diameter and fungal spore number was put forward by improving the two-dimensional normal distribution model. Then, the growth trend of fungi was predicted by discretizing and incrementing the model. On this basis, according to the characteristics of grain fungus pollution, the predictive control theory was improved, and the optimal control objective function with fungus growth as the predictive variable and temperature and water as the control variables was established. The fixed point method was used for iterative solution to achieve the global minimization of colony growth rate, temperature and water control cost. The experimental data of rice storage were used to verify the proposed method, and it was verified that the prediction accuracy of the established fungal growth model was high, and by optimizing the control of temperature and water content, the fungal growth could be significantly reduced.
A multicenter retrospective study of Clostridium difficile infection in Ningxia, China
Authors: Zang Yiming , Fu Hui , Zou Cuimei , Zhao Mei , Ren Zheng , Mao Yongjuan , Yuan Mingli , Li Gang , Jia Wei 
Published: April 2023

Abstract
Background: The toxigenic stool culture (TC) was used as the gold standard to evaluate the performance of C. Diff Quick Check Complete and Xpert C. difficile to support the detection of clinical CD. The clinical data of the patients were also retrospectively analyzed to explore the susceptibility factors and susceptible population of Clostridium difficileinfection (CDI) in Ningxia region.
Methods: 432 stools were collected from September 2020 to December 2021 from patients who presented with diarrhea after admission to several hospitals in Ningxia, China. CD was detected by enzyme immunoassay (C. Diff Quick Check Complete) and Xpert C. difficile. The results were compared and evaluated with those detected by TC. We also retrospectivelyanalyzed the clinical data and treatment history of patients with definite CDI.
Results: C. Diff Quick Check Complete suggested 35 cases of CD, Xpert suggested 31 cases. The Statistical data of two methods were both statistically significant(P<0.05). 25.81% of 31 TC-positive patients had gastrointestinal diseases and hepatobiliary diseases, 22.58% of them were with malignant tumors. 16 (51.61%) of the patients used antibiotics during hospitalization, of which cephalosporins were the most common, accounting for 75.00%.
Conclusion: Both Xpert C. difficile and C. Diff Quick Check Complete can be used for the rapid detection of CD, but not as an independent diagnostic method. Clinicians should establish early screening mechanisms to reduce the incidence of CDI in high-risk groups who are elderly, have gastrointestinal diseases, a history of antimicrobial drug use, and a history of recent hospitalization.
Telling the whole truth to patients before hip fracture repair surgery. Cross sectional study.
Authors: Masarwa Rawan , Natan Merav Ben , Berkovich Yaron 
Published: April 2023

Abstract
Background

Hip fracture repair surgery is associated with a certain mortality risk. However, there is evidence that orthopedic surgeons tend to refrain from discussing this issue with their patients prior to surgery.

Aim

To examine whether orthopedic surgeons raise the issue of one-year post-surgery mortality before hip fracture repair surgery. Moreover, this study examined factors related to the decision whether to inform patients of the mortality risk one-year post-surgery.

Method

The study is a cross sectional study, where validated digital questionnaires were administered to 150 orthopedic surgeons.

Results

A minority of the orthopedic surgeons reported that they always inform the patients of the risk of mortality in the year following a hip fracture surgery. The wish to avoid frightening the patient, lack of time, and the concern of causing patients to lose hope were found to be the most prevalent causes of not informing patients of the one-year risk of mortality after hip fracture repair surgery. Orthopedic surgeons reported a medium-high level of perceived self-efficacy. Higher self-efficacy was found to reduce the likelihood that the orthopedic surgeon would inform the patient of the one-year mortality risk after hip fracture surgery. Moreover, older age and being an expert were found to increase the likelihood that the surgeon would inform the patient of the one-year mortality risk after hip fracture surgery.

Conclusions

It seems that orthopedic surgeons tend to refrain from revealing to their patients the issue of mortality following hip fracture repair surgery, conduct that appears to be affected by personal, professional, and organizational factors. It is necessary to raise the awareness of orthopedic surgeons regarding this tendency. As part of their studies, medical students should be given tools for dealing with these barriers.

Trial registration

The study doesn`t reports the results of a health care intervention.
A Sustainable Resource-Constrained Project Selection and Scheduling Model using Scenario-Based Stochastic Programming: A case study of industrial projects
Authors: Rahimi Fatemeh , Davari-Ardakani Hamed , Ameli Mariam , Beheshtkhah Mahdi Kabiri 
Published: April 2023

Abstract
Due to a wide variety of real-world constraints, proper project portfolio selection is a critical issue for project-oriented organizations. In this paper, a bi-objective stochastic mixed-integer linear program is developed to cope with the resource-constrained project selection and scheduling problem in the presence of greenhouse gas emissions, and non-hazardous and hazardous wastes regulatory restrictions. Moreover, reinvesting proceeds of projects as well as loans are allowed to finance projects over the planning horizon. The proposed model maximizes the net present value of the expected project portfolio's terminal wealth under uncertain conditions, as well as the sustainability score of the project portfolio, simultaneously. The sustainability score is calculated by one of the recent multi-criteria decision-making methods, SECA, based on seven qualitative sustainability indicators and by solving a non-linear optimization model. To assess the performance of the proposed model, a case study of eighteen industrial projects is applied. Since the duration of industrial projects is usually uncertain, the proposed model is reformulated as a scenario-based stochastic programming model. Furthermore, the CPLEX solver and Branch and Benders algorithm are used to solve the problem. Results show that the Branch and Benders algorithm is much more efficient than the Cplex solver. In the end, according to the performed sensitivity analysis, in some cases, increasing the carbon and landfill tax rates, does not significantly reduce the negative environmental effects, while making the projects less attractive for investment. This highlights the importance of coping with the problem under consideration for managers, legislators, and policymakers.
Charge cluster occurrence in land plants’ mitochondrial proteomes with functional and structural insights
Authors: Ayadi Imen , Nebli Syrine , Marzoug Riadh Ben , Rebai Ahmed 
Published: April 2023

Abstract
The Charge Clusters (CCs) are involved in key functions and are distributed according to the organism, the protein’s type, and the charge of amino acids. In the present study, we have explored the occurrence, position, and annotation as a first large-scale study of the CCs in land plants mitochondrial proteomes. A new python script was used for data curation. The Finding Clusters Charge in Protein Sequences Program was performed after adjusting the reading window size. A 44316 protein sequences belonging to 52 species of land plants were analysed. The occurrence of Negative Charge Clusters (NCCs) (1.2%) is two times more frequent than the Positive Charge Clusters (PCCs) (0.64%). Moreover, 39 and 30 NCCs were conserved in 88 and 41 proteins in intra and in inter proteomes respectively, while 14 and 21 PCCs were conserved in 53 and 85 protein sequences in intra and in inter proteomes consecutively. Sequences carrying mixed CCs are rare (0.12%). Despite this low abundancy, CCs play a crucial role in protein function. The CCs tend to be located mainly in the terminal regions of proteins which guarantees specific protein targeting and import into the mitochondria. In addition, the functional annotation of CCs according to Gene Ontology shows that CCs are involved in binding functions of either proteins or macromolecules which are deployed in different metabolic and cellular processes such as RNA editing and transcription. This study may provide valuable information while considering the CCs in understanding the environmental adaptation of plants.
Soybean leaf estimation based on RGB images and machine learning methods
Authors: li xiuni , xu xiangyao , xiang shuai , chen menggen , he shuyuan , wang wenyan , liu chunyan , Yu liang , Liu Weiguo , yang wenyu 
Published: April 2023

Abstract
Background: RGB photographs are a powerful tool for dynamically estimating crop growth. Leaves are related to crop photosynthesis, transpiration, and nutrient uptake. Traditional blade parameter measurements were labor-intensive and time-consuming. Therefore, based on the phenotypic features extracted from RGB images, it is essential to choose the best model for soybean leaf parameter estimation. This research was carried out to speed up the breeding procedure and provide a novel technique for precisely estimating soybean leaf parameters.
Results: The findings demonstrate that using an Unet neural network, the IOU, PA, and Recall values for soybean image segmentation can achieve 0.98, 0.99, and 0.98, respectively. Overall, the average testing prediction accuracy (ATPA) of the three regression models is Random forest> Cat Boost > Simple nonlinear regression. The Random forest ATPAs for leaf number (LN), leaf fresh weight (LFW), and leaf area index (LAI) reached 73.45%, 74.96%, and 85.09%, respectively, which were6.93%, 3.98%, and 8.01%, respectively, higher than those of the optimal Cat Boost model and 18.78%, 19.08%, and 10.88%, respectively, higher than those of the optimal SNR model.
Conclusion: The results show that the Unet neural network can separate soybeans accurately from an RGB image. The Random forest model has a strong ability for generalization and high accuracy for the estimation of leaf parameters. Combining cutting-edge machine learning methods with digital images improves the estimation of soybean leaf characteristics.
Quantitative speech assessment in ataxia- Consensus recommendations by the Ataxia Global Initiative Working Group on Digital-motor Biomarkers
Authors: Vogel Adam , Grobe-Einsler Marcus , Vasco Gessica , Sobanksa Anna , Borel Stephanie , Summa Susanna , Gupta Anoopum 
Published: April 2023

Abstract
Dysarthria is a common and debilitating symptom of many neurodegenerative diseases, including those resulting in ataxia. Changes to speech lead to significant reductions in quality of life, impacting the speaker in most daily activities. Recognition of its importance as an objective outcome measure in clinical trials for ataxia is growing. Its viability as an endpoint across the disease spectrum (i.e., pre-symptomatic onwards) means that trials can recruit ambulant individuals and later-stage individuals who are often excluded because of difficulty completing lower limb tasks. Here we discuss the key considerations for speech testing in clinical trials including hardware selection, suitability of tasks and their role in protocols for trials and propose a core set of tasks for speech testing in clinical trials. Test batteries could include forms suitable for remote short, sensitive, and easy to use, with norms available in several languages. The use of artificial intelligence also could improve accuracy and automaticity of analytical pipelines in clinic and trials.
Real-world data of clazosentan for aneurysmal subarachnoid hemorrhage: a multicenter retrospective cohort study
Authors: Muraoka Shinsuke , Asai Takumi , Fukui Takahiko , Ota Shinji , Shimato Shinji , Koketsu Naoki , Nishizawa Toshihisa , Araki Yoshio , Saito Ryuta 
Published: April 2023

Abstract
Aneurysmal subarachnoid hemorrhage (aSAH) may lead to cerebral vasospasm which is significantly associated with morbidity and mortality. Clazosentan, an endothelin-1 receptor antagonist, has been shown to reduce cerebral vasospasm-related morbidity and all-cause mortality compared to placebo in patients with aSAH. To investigate effectiveness of clazosentan combination therapy we conducted a multicenter, retrospective, observational cohort study of Japanese patients with aSAH (35 female; age 64.4 ± 15.0 years old) between June 2022 and March 2023. Of the 47 cases, 29 (61.7%) had favorable outcomes and 9 (19.1%) had unfavorable outcomes. For postoperative aSAH management, clazosentan, cilostazol, and statins were typically used. Fasudil and ozagrel were used in 18 (38.3%) and 15 cases (31.9%), respectively. In 16 cases (34.0%), vasospasm occurred, but vasospasm-related delayed cerebral ischemia (DCI) was reported in only 4 cases (8.5%). Complications of pulmonary edema and hypotension occurred in 19 cases (40.4%) and 16 cases (34.0%), respectively. Risk factors of pulmonary edema were older age, clazosentan discontinuation, positive fluid balance, and lower serum albumin levels. Lower BMI, higher WFNS grade, lower urine output, lower serum albumin were risk factors of hypotension. The risk factors of vasospasm-related DCI were clazosentan discontinuation and positive fluid balance. Hypotension and vasospasm-related DCI were related to unfavorable outcomes. Combination therapy with clazosentan could be effective in preventing post-aSAH vasospasm-related DCI. However, caution must be taken as combination therapy may increase the risk of hypotension and pulmonary edema compared with clazosentan single therapy. Perioperative fluid balance management may be critical for preventing unfavorable outcomes.
Do Investors Reward Countries for Participating in Climate Agreements?
Authors: Saxena Konark , Singh Mandeep 
Published: April 2023

Abstract
Yes. The reward is a decline in sovereign bond yields of countries that commit to reducing greenhouse gas emissions under a climate agreement. This decrease is likely due to climate-aware investors incentivizing governments for such climate-friendly decisions. Transition and regulatory climate risks are expected to increase after signing a climate agreement, so they cannot explain a decrease in yields. Exposures to physical climate risks play a role, but their effect is weaker than the incentive effect. Overall, our findings suggest that climate-aware investors are nudging governments to cooperate in international climate agreements.