bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Calorie and Protein Intakes and Clinical Outcomes in Critically Ill Patients: Cross- sectional study
Authors: Badpeyma Mohaddeseh , Malekahmadi Mahsa , Sedaghat Alireza , Ostad Andisheh Norouzian , Khadem-Rezaiyan Majid , Pahlavani Naseh , Salami Fatemeh Ebrahimbay , Moghaddam Ahmad Bagheri 
Published: September 2022

AbstractBackground:Critically ill patients admitted to the intensive care unit (ICU) are often hyper-metabolic and hyper-catabolic and at risk of malnutrition. This study aimed to evaluate the amount of energy and protein intake and its correlation with the required amount in critically ill patients.Method:Seventy patients with critical conditions who were admitted to ICU were eligible (age ≥18 years and over a 3-day stay in ICU). Basic characteristics, medical history, and laboratory test results were extracted from the patients' medical records. Anthropometric indices and APACHE II questionnaire were assessed by an expert nurse. The calorie and protein requirement of patients were considered 25 kcal/kg/day and 1.2 g/kg/day, respectively.Result:Mean age in the target population was 57.69 ± 20.81 years, and 48.6% were men. The mean actual energy intake was significantly lower than the requirement (531.27 ±365.40 vs. 1583.77 ± 329.36 Kcal/day, P˂0.001). The mean actual protein intake was significantly lower than the requirement (14.94 ±18.33 vs. 74.11 ± 17.89 gr/day respectively, P˂0.001). Patients had a growing trend in providing energy and protein over time. There is a significant reverse correlation between the age of patients and total lymphocyte count (r= -0.38, P=0.003). Also, there is a significant reverse correlation between the Glasgow coma scale and the duration of mechanical ventilation (r=-0.49, P˂0.001). The lowest average calorie and protein intake are in patients with poisoning.Conclusion:The amount of calorie and protein intake in critically ill patients is significantly less than the recommended amount, therefore, it is necessary to perform routine nutritional assessments.
Identification Modelling and fault-tolerant predictive control for industrial input nonlinear actuator system
Authors: Dong Shijian , Zhang Yuzhu , Wang Xuesong , Cheng Yuhu 
Published: September 2022

Abstract
Industrial control system plays an important role in process industry, chemical production and other manufacturing industries. It has important theoretical research significance and engineering application value to establish accurate models for industrial actuator system with dead-zone input nonlinearity. The structure and order of the typical system model are determined by analyzing the mechanism relationship of the system. Based on sampled data, a data-driven identification algorithm is proposed for industrial actuator system with dead-zone input nonlinearity to describe the main dynamic characteristics of the system output. The convergence property of the proposed algorithm is also analyzed. Process faults will reduce the tracking control accuracy of industrial actuator systems. An intermediate observer is used to estimate the faults. A fault-tolerant synchronous control feedback rate based on fault estimation is designed to compensate faults. The input dead zone block will weaken the feedback control performance of the input signal and reduce the control precision of the intermediate observer. According to the dead zone model, a compensator is introduced to transform the dead zone function into a linear function passing through the origin of coordinates. The transformed linear segment and the dynamic linear segment of the system constitute the generalized linear system. The model predictive control (MPC) strategy is designed to achieve robust and precise control by eliminating the effect of measurement noise. Finally, numerical simulation example and experimental test results verify the superiority and merit of the modeling method and fault-tolerant control strategy.
Genomic selection for salinity tolerance in japonica rice
Authors: Bartholomé Jérôme , Frouin Julien , Brottier Laurent , CAO Tuong-Vi , Boisnard Arnaud , Ahmadi Nourollah , Courtois Brigitte 
Published: September 2022

Abstract
Improving plant performance in salinity-prone conditions is a major challenge in breeding programs. Genomic selection is currently integrated into many plant breeding programs as a tool for increasing selection intensity and precision for complex traits and for reducing breeding cycle length.
A reference panel (RP) of 241 japonica accessions genotyped with 20,255 SNPs grown in control and mild salinity stress conditions was evaluated at the vegetative stage for eight morphological traits and ion mass fractions (Na and K). Weak to strong genotype-by-condition interactions were found for the traits considered. Cross-validation showed that the predictive ability of genomic prediction methods ranged from 0.25 to 0.64 for multi-environment models with morphological traits and from 0.05 to 0.40 for indices of stress response and ion mass fractions. The performances of a breeding population (BP) comprising 393 accessions were predicted with models trained on the RP. For validation of the predictive performances of the models, a subset of 41 accessions was selected from the BP and phenotyped under the same experimental conditions as the RP. The predictive abilities estimated on this subset ranged from 0.00 to 0.66 for the multi-environment models, depending on the traits, and were strongly correlated with the predictive abilities on cross-validation in the RP in salt condition (r = 0.69).
We show here that genomic selection is efficient for predicting the salt stress tolerance of breeding lines. The integration of genomic prediction into breeding strategies could increase the efficiency of breeding programs for crops to be grown in salinity-prone environments.
Knowledge of the population on the influence of diet on renal lithiasis
Authors: Ramos Christiane Ishikawa , Bronzate Rodrigo Torquato , Moreira Ana Paula Nehara 
Published: September 2022

Abstract
Kidney stones is a very prevalent disease, whose morbidity is associated with the recurrence of stone formation. Food plays an important role in the prevention and treatment of the disease, but this impact is still not widespread. Objective: The present study aims to evaluate the knowledge of the general population and of individuals with nephrolithiasis regarding the formation of kidney stones and the dietary measures recommended for their prevention. Methods: This is a descriptive, cross-sectional study, with a convenient sample. Data were collected using an online questionnaire containing 39 questions [sociodemographic data (8), health data (14), and dietary treatment knowledge (17)], shared on social media. Results: The questionnaire was answered by 283 participants [76.1% women; median age 34.5 (28-75.41) years], 61. 5% reporting being lithiasic. The lythiasic group had more comorbidities than the non-lythiasic one. Most of the participants (85.9%) believed that diet could prevent the formation of kidney stones, with higher frequency in the non-lythiasic group (93.6% vs lythiasics81%, p=0.003).Lithiasics in comparison with non-lythiasics presented lower frequency of correct answers for the items "increased fluid intake" (87.9% vs 95.4%, p=0.034) and "regular consumption of fruits, vegetables and vegetables" (47.7% vs 60.6%, p=0.035), the factors that decrease stone formation; and "milk chocolate being the most indicated for individuals with oxalate-based stones" (5.7% vs 13.8%, p=0.021). However, lithiasics had a higher frequency of correct answers about "low calcium intake increases stone formation" (29.9% vs non-lithiasics: 24.8%, p=0.018). Conclusion: the present study shows that there are gaps in knowledge about dietary advice in patients with renal lithiasis, which is even more worrying about the few differences when compared to non-lithiasic individuals.
Time constant to determine PEEP levels in mechanically ventilated COVID-19 ARDS: a feasibility study
Authors: Depta Filip , Euliano Neil R. , Zdravkovic Marko , Török Pavol , Gentile Michael 
Published: September 2022

Abstract
Background: We hypothesized that the measured expiratory time constant (TauE) could be a bedside parameter for the evaluation of positive end-expiratory pressure (PEEP) settings in mechanically ventilated COVID-19 patients during pressure-controlled ventilation (PCV).
Methods: A prospective study was conducted including consecutively admitted adults (n = 16) with COVID-19-related ARDS requiring mechanical ventilation. A PEEP titration using PCV with a fixed driving pressure of 14 cmH2O was performed and TauE recorded at each PEEP level (0 to 18 cmH2O) in prone (n = 29) or supine (n = 24) positions. The PEEP setting with the highest TauE (TauEMAX) was considered to represent the best tradeoff between recruitment and overdistention.
Results: Two groups of patterns were observed in the TauE plots: recruitable (R) (75%) and nonrecruitable (NR) (25%). In the R group, the optimal PEEP and PEEP ranges were 8±3 cmH2O and 6-10 cmH2O for the prone position and 9±3 cmH2O and 7-12 cmH2O for the supine position. In the NR group, the optimal PEEP and PEEP ranges were 4±4 cmH2O and 1-8 cmH2O for the prone position and 5±3 cmH2O and 1-7 cmH2O for the supine position, respectively. The R group showed significantly higher optimal PEEP (p<0.004) and PEEP ranges (p<0.001) than the NR group. Forty-five percent of measurements resulted in the most optimal PEEP being significantly different between the positions (p < 0.01).
Conclusions: TauE may be a novel method to assess PEEP levels. There was wide variation in patient responses to PEEP, which indicates the need for personalized evaluation.
The Relationship Between Increased Intervertebral Disc Height (IDH) and Development of Postoperative Dysphagia After Single-level Anterior Cervical Discectomy and Fusion (ACDF) — A retrospective Study of 217 Cases
Authors: Gao Zhiqiang , Wang Qiang , Wang Bijun , Guo Kai , Lu Jiawei , Wu Desheng , Huang Yufeng 
Published: September 2022

Abstract
Background: One goal of the ACDF is to restore the loss of intervertebral disc height (IDH) results from the degenerative process. However, the effect of IDH on postoperative dysphagia after ACDF remain unclear.
Methods: 217 consecutive patients after single-level ACDF were enrolled. Based on the results of a one-year telephone follow-up, the patients were divided into dysphagia group and non-dysphagia group. Radiologically, IDH, spinous process distance (SP) of the operated segment and C2-7 angle (C2-7A) were measured preoperatively and postoperatively. The relationship between changes of above radiological parameters and the development of dysphagia was analyzed.
Results: 63 cases exhibited postoperative dysphagia. The mean changes in IDH, SP and C2-7A were 2.84 mm, -1.54 mm, and 4.82 degrees, respectively. Change of IDH (P=0.001) and change of C2-7A (P=0.000) showed significant differences between dysphagia and non-dysphagia patients. Increased IDH and increased C2-7A (P=0.037 and 0.003, respectively) significantly and independently influenced the incidence of postoperative dysphagia. When change of IDH ≥ 3 mm, the chance of developing postoperative dysphagia of this patient is significantly greater. No significant relationship was observed between change of spinous process distance (SP) and the incidence of dysphagia.
Conclusion: The change of IDH could be regarded as a predictive factor for postoperative dysphagia after single-level ACDF.
FBXO7, a tumor suppressor in endometrial carcinoma, suppresses INF2-associated mitochondrial division
Authors: Jin Xiaofeng , Zhang Hui , Wang Jie , Li Jinyun , Zhong Yeling , Cao Xinyi , Jin Jiabei , Lin Yan , Ma Xinyi , Yu Zongdong , Ni Xiaoqi , Li Xinming , Lin Man , He Jian , Luo Xia , Gu Chaoyu , Yang Weili , Ye Meng 
Published: September 2022

Abstract
Endometrial carcinoma (ECa) is the most common malignant gynecological cancer, with an increased incidence and fatality rate worldwide. Hyperactive INF2-associated mitochondrial division is involved in the occurrence and development of various tumors, including ECa, although the molecular mechanism is unclear. In this study, we confirmed that FBXO7, an E3 ubiquitin ligase, inhibits INF2-associated mitochondrial division through ubiquitination and degradation of INF2 and acts as a tumor suppressor in ECa. Moreover, we found that ECa-associated FBXO7 mutants were defective in the degradation of INF2, promoting ECa cell proliferation and migration through hyperactive INF2-associated mitochondrial division. In addition, our data support the possibility of using the mitochondrial division inhibitor Mdivi-1 in the treatment of FBXO7-mutated ECa. Our study revealed a novel pathogenesis of ECa and may provide a new treatment strategy for ECa patients with FBXO7 mutations.
Semipres: an Integrated Deep Learning Method of Sequence and 3d Object Detection Models for Host-microbe Interactions by Identification of Protein-protein Contact Residues
Authors: Lim Hansaim , Keskin Ozlem , Nussinov Ruth , Gursoy Attila 
Published: September 2022

Abstract
Background
Interface mimicry is an important strategy for microbes to efficiently interfere with host protein-protein interactions to maximize their survival and spread. With interface mimicry, microbial proteins with surface residues that can structurally mimic the known interactor of host proteins have a potential to interact with the host. Computationally predicting such interactions is critical to understand the mechanisms of microbe-induced diseases and drug discovery. Computational methods that do not use protein 3D structures (e.g., sequence-only methods) are generally less accurate, and those that require 3D structures are limited by the structural coverage and cannot utilize the abundant information available from sequences.
Results
Here we present a new deep learning method that integrates ALBERT, a natural language processing model with PointNet, a 3D object identification model. The ALBERT component learns from the vast amount of available sequence data, and the PointNet component makes it available to predict the contact residues. We show that a natural language processing model can combine with PointNet and be applied to the interface mimicry concept for predicting protein-protein interactions. On a benchmark, the method outperformed a graph convolutional neural network model with a similar purpose.
Conclusions
Our deep learning method for protein-protein interaction prediction is the first method that integrates sequence-based and structure-based deep learning to predict interface mimicry. Our analyses indicate that it performs better for heterodimer predictions than homodimers. This integration is a promising idea, however the method can further be optimized for better predictive performance.
Prevalence, Trends, and Characteristics of Nonalcoholic Fatty Liver Disease among the US Population Aged 12–79 Years
Authors: Shen Tsung-Hua , Wu Chung-Hsuen , Lee Yuan-Wen , Chang Chun-Chao 
Published: September 2022

Abstract
Background & Aims: Clinical observation revealed an increase in nonalcoholic fatty liver disease (NAFLD) prevalence among adults and adolescents and young adults (AYA). However, its prevalence trend in specific subgroups and its characteristics are unclear.
Approach & Results: This cross-sectional study included adults and AYA aged 20–79 and 12–19 years, respectively, from the National Health and Nutrition Examination Survey from 1999 to 2018. NAFLD was defined as US Fatty Liver Index ≥ 30 in adults and alanine amino transaminase elevation and obesity in AYA. Joinpoint and logistic regression were used to evaluate the NAFLD prevalence trend and its associated characteristics. NAFLD was diagnosed in 17,156,892 of 51,109,914 (33.6%) adults and 1,705,586 of 29,278,666 AYA (5.8%). During the study period, NAFLD prevalence significantly increased from 30.8–37.7% (P < 0.01) in adults and in subgroups of female participants, individuals aged 20–45 and 61–79 years, and non-Hispanic white individuals. Conversely, NAFLD prevalence did not significantly change in AYA (from 5.1–5.2%, P = 0.139), except in the subgroup of Mexican Americans (from 8.2–10.8%, P = 0.01). Among adults, high NAFLD prevalence was associated with male sex, Mexican American ethnicity, age > 50 years, being unmarried, poverty income ratio < 130, poor or fair health condition, obesity or overweight, and chronic conditions. Among AYA, high NAFLD prevalence was associated with male sex, poverty income ratio < 130, and education.
Conclusions: Accordingly, we concluded that health care providers should prevent and treat conditions associated with NAFLD by raising awareness of the increasing trend of NAFLD.
Early transthoracic echocardiography and long-term mortality in moderate to severe ARDS: analysis of the MIMIC-III database
Authors: Liu Qiuyu , Tang Yingkui , Tao Wu , Tang Ze , Wang Hongjin , Nie Shiyu , Wang Nian 
Published: September 2022

Abstract
Background
While the use of transthoracic echocardiography (TTE) in the intensive care unit (ICU) is rapidly expanding, the contribution of early-TTE to altering patient outcomes among ICU patients with acute respiratory distress syndrome (ARDS) has not been examined. This study aimed to analyze the effect of early TTE on long-term mortality in patients with moderate to severe ARDS in ICU.
Methods
We obtain 3425 moderate-to-severe ARDS patients who had or had not received early TTE from MIMIC-III database, after imputing missing values through the random forest model, to guarantee that our findings were robust, we utilized a variety of statistical methods including propensity score matching (PSM), inverse probability of treatment weight (IPTW), covariate balancing propensity score (CBPS), multivariable regress, doubly robust estimation to balance 39 covariates and evaluate the effect of early TTE on long-term mortality. We used t-tests for continuous outcomes and χ2 tests for categorical outcomes.
Results
Early-TTE group’s 90-day mortality exhibited a significant improvement comparing to non-early-TTE group (odds ratio = 0.77 95% CI 0.63–0.94, p-value = 0.009)), which reveal its beneficial effect. On the third day of ICU admission and throughout the hospital stay, the early-TTE group had considerably decreased net-input (845.37 vs. 1156.78 mL and 8353.90 vs. 4877.25 mL). The serum creatinine reduction exhibited a significant difference between these two groups and revealed the early-TTE’s beneficial effect on the kidney (0.57 vs. 0.84, p-value = 0.003).
Conclusions
Early application of TTE is beneficial to improving the long-term mortality of patients with moderate to severe ARDS.
Association Between the MTHFR 677C/T Polymorphism and Susceptibility to Psoriasis: An Updated Meta‑Analysis
Authors: Qi Junhua , Zhang Yu , Zhang Lvya , Nie Gang 
Published: September 2022

Abstract
The correlations between psoriasis and methylenetetrahydrofolate reductase (MTHFR) 677C/T polymorphism have been examined in a number of studies. However, the findings are still ambiguous. The present meta-analysis was conducted to comprehensively evaluate this issue. Eligible studies were searched from EMBASE, PubMed, Web of Science, Wan Fang Database and Chinese National Knowledge Infrastructure (CNKI) up to 30 November 2021. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to estimate the effects of MTHFR 677C/T polymorphism on psoriasis risk under different genetic models. A total of 11 relevant case-control studies were included in our meta-analysis, involving 2010 psoriasis cases and 1881 healthy controls. Pooled analysis suggested that MTHFR 677C/T polymorphism was associated with increased psoriasis risk under the recessive model (TT vs TC + CC, OR = 1.69, 95%CI = 1.09–2.61, P = 0.020). Stratification by ethnicity indicated that MTHFR 677C/T polymorphism was associated with increased psoriasis risk in Asian under the recessive model (TT vs TC + CC, OR = 1.64, 95%CI = 1.01–2.67, P = 0.046)and in European under the allelic model (T vs C, OR = 2.57, 95% CI = 1.02–6.48, P = 0.046). In conclusion, MTHFR 677C/T polymorphism might be associated with increased psoriasis risk. TT genotype might increase psoriasis risk in Asian. Allele T might increase psoriasis risk in European.
The Relationship between Exercise Intention and Exercise Behavior among Chinese Junior High School Students: A Moderated Mediation Model
Authors: Liu Wenxia , Guo kelei , Ma Qishuai , Jia Shubo , Ma Xiaohua 
Published: September 2022

Abstract
Purpose: This study aims to investigate the relationship between exercise intention and exercise behavior, as well as the mechanism of exercise social support and action self-efficacy in the relationship between exercise intention and exercise behavior, so as to provide theoretical and empirical support for the promotion of physical exercise for junior high school students.
Methods: Totally 1312 junior middle school students were recruited to complete Behavioral Intention Scale, Exercise Social Support Scale, Action Self-efficacy Scale and Physical Activity Rating Scale-3. The correlation analysis and the mediation and moderation analysis were conducted.
Results: (1) There was a significant positive correlation between exercise intention and exercise behavior (r=0.265, p＜0.01); (2) Exercise intention significantly positively predicted exercise social support（β=0.231, t=8.457, p＜0.01）, and exercise social support significantly positively predicted exercise behavior（β=0.207, t=8.424, p＜0.01）; (3) Exercise social support × action self-efficacy positively predicted exercise behavior of junior middle school students (β= -0.058, t= -2.422, p＜0.05); (4) In the high action self-efficacy group, exercise social support had a significant positive prediction effect on exercise behavior (β=0.19, t=5.93, p < 0.01); However, in the low action self-efficacy group, exercise social support had a stronger positive prediction effect on exercise behavior (β=0.34, t=8.90, p < 0.01).
Conclusion: (1) Exercise intention can significantly positively predict junior middle school students' exercise behavior; (2) Exercise social support partially mediated the relationship between exercise intention and exercise behavior of junior high school students; (3) Action self-efficacy plays a moderating role in the latter half of the mediating process of exercise intention -- exercise social support -- exercise behavior. Action self-efficacy can enhance the prediction effect of social support on exercise behavior, especially for junior middle school students with low action self-efficacy, with the improvement of social support level of exercise, their physical exercise level shows a rapid upward trend.