bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing the role of consumer behavior in coping with intermittent supply in water distribution systems
Authors: Abhijith Gopinathan R , Naidu Maddukuri Naveen , Boindala Sriman Pankaj , Vasan A , Ostfeld Avi 
Published: December 2022

Abstract
In developing countries, most water distribution systems (WDS) are operated as intermittent water supply (IWS) systems. A significant share of them also delivers water to consumers in irregular and unreliable ways. To meet water demands under such inconsistent WDS operations, IWS consumers commonly adapt to flexible consumption behaviors characterized by storing the limited water available during shorter supply periods in intermediate storage facilities for subsequent usage during more extended non-supply periods. Towards accounting for this characteristic behavior in understanding the IWS behavior more realistically, this paper presented the development, functioning, and application of a novel open-source PYTHON-based simulation tool (EPyT-IWS) for WDS, virtually acting like an IWS modeling extension of EPANET 2.2. EPyT-IWS integrates EPANET 2.2 solver with an independent hydraulic solver to mimic the water withdrawal during supply periods, storage in intermediate storage facilities, and subsequent use. The applicability of the simulation tool was demonstrated by performing extended-period hydraulic simulations on a typical WDS with representative IWS attributes. The simulation outcomes showed that practicing the typical consumption behavior, involving storing water within underground tanks and later pumping it into overhead tanks, allows consumers to cope with the intermittent water availability and meet their demands very suitably. Besides the water supply duration, the clock time of water supply in IWS systems was predicted to influence consumers' ability to fill the intermediate storage tanks and meet water demands. This study's overall findings can advance the state-of-the-art for planning, designing, and operating WDS with IWS characteristics.
Effects of prone position versus usual care on acute hypoxaemic respiratory failure in patients with COVID‑19: a systematic review and meta-analysis of randomized controlled trials
Authors: Peng Qing , Yang Sheng , Zhang Yu , Zhao Wenjie , Hu Man , Meng Bo , Ni Huanhuan , Min Lingfeng , Yu Jiangquan , Wang Yongxiang , Zhang Liang 
Published: December 2022

Abstract
Background: Previous studies have shown that prone position may be beneficial for the treatment of acute respiratory distress syndrome (ARDS) or acute hypoxic respiratory failure (AHRF) in COVID-19 patients, but the results are not consistent, especially in terms of oxygenation outcomes and intubation rate. This systematic review and meta-analysis assessed the effects of prone position on AHRF in COVID-19 patients with all randomized controlled trials (RCTs).
Methods: An extensive search of online databases, including MEDLINE, Embase, Web of Science and Cochrane Central Register of Controlled Trials from December 1, 2019 to October 30, 2022, with no language restrictions. This systematic review and meta-analysis are based on the PRISMA statement and has been registered on the International Prospective Register of Systematic Reviews (PROSPERO) with the registered ID: CRD42022367885. We only included RCTs and used Cochrane risk assessment tool for quality assessment.
Results: Twelve RCTs fulfilled the selection criteria and 3154 patients were included. Meta-analysis found that patients in prone position group had more significant improvement in the SpO2/FiO2 ratio (mean difference [MD]: 29.76; 95% confidence interval [CI]: 1.39 to 48.13; P=0.001) compared with usual care. Prone position also reduced the need for intubation (odd ratio [OR]: 0.72; 95% CI: 0.62 to 0.85; P＜0.0001; I2=0%). There was no significant difference in mortality, hospital length of stay, incidence of intensive care unit (ICU) admission and adverse events between the two groups.
Conclusions: Prone position was a promising intervention method, which is beneficial to improve the oxygenation of patients with ARDS or AHRF caused by COVID-19 and can reduce the need for intubation. However, prone position had no significant difference in mortality, hospital length of stay, incidence of ICU admission and adverse events.
Do blood pressure changes following a small bolus of propofol correlate with fluid responsiveness as assessed with stroke volume variation – an experimental study
Authors: Stefaniak Jan , Spychalski Piotr , Owczuk Radosław 
Published: December 2022

Abstract
Background

For many years, in everyday practice at intensive care units (ICUs) and in high-risk surgery patients, there has been a need for objective and repetitive methods to assess patients’ volemia. Hypotension consecutive to propofol administration may be dependent on volemia. In oligovolemic patients, propofol-induced sympathetic nervous system depression may cause a decrease in blood pressure greater than that in normovolemic patients. The aim of the study was to determine whether blood pressure decrease after a small bolus of propofol will correlate with fluid responsiveness evaluated with stroke volume variation (SVV) obtained with a PiCCO (Getinge AB, Göteborg, Sweden) device.

Methods

We enrolled 50 intensive care unit (ICU) patients whose lungs were mechanically ventilated. The patients were temporarily sedated with midazolam infusion for the length of the trial. Prior to propofol injection, the following parameters were acquired for every patient: heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), invasive blood pressure and infusion rate of catecholamines and noradrenergic vasopressors. The PiCCO device was calibrated, and stroke volume variation (SVV) was calculated and recorded. Each patient received consecutive propofol boluses of 0.25 mg kg− 1, 0.5 mg kg− 1, and 1.0 mg kg− 1. After each bolus, systolic and diastolic invasive blood pressure, heart rate (HR), continuous cardiac output (CCO), continuous cardiac index (CCI), stroke volume index (SI), and stroke volume variation (SVV) were recorded every fifteen seconds for ten minutes.

Results

We found a statistically significant weak-to-moderate positive correlation after propofol 1 mg kg− 1 between ΔSBP and SVV for every timepoint (p < 0.05). Additionally, we discovered statistically significant differences (t test, p = 0.004), with a mean difference of -15.42 mmHg (95% CI, -25.73 to -5.11), between ΔSBP (135) in patients receiving > 0.2 mcg kg− 1 min− 1 norepinephrine and patients receiving ≤ 0.2 mcg kg− 1 min− 1 norepinephrine.

Conclusion

We found that a 1 mg kg− 1 bolus of propofol cannot predict fluid responsiveness in ICU patients receiving norepinephrine infusion. We believe, however, that these findings open a new field for further study in noninvasive haemodynamic measurements.
Trial registration
Prior to the study, Independent Bioethical Committee consent was sought and obtained (NKKBN/91-147/2019). This study was registered at ClinicalTrails.gov (NCT03917446) on 17th April 2019, retrospectively registered.
Comparing sweet potato chloroplast genome and mitochondrial genome reveals organelle gene transfer
Authors: li Guoliang , qiu sixin 
Published: December 2022

Abstract
The increasing number of plant mitochondrial genomes (mtDNA) sequenced reveals the extent of transfer from both chloroplast (cpDNA) and nuclear genomes (nDNA). This study created a library and assembled the chloroplast and mitochondrial genomes of the leafy sweet potato Fucaishu18 better to understand the extent of mitochondrial and chloroplast gene transfer. The full-length chloroplast genome of Fucaishu18 (OM808940) is 161387 bp, with 132 genes annotated, including 87 protein-coding genes, 8 rRNA genes, and 37 tRNA genes. The mitochondrial genome (OM808941) was 269578 bp in length and contained 70 functional genes, including 41 protein-coding genes, 6 rRNA genes, and 24 tRNA genes. 68 SSR loci were found in the leafy sweet potato organelle genome, including 54 in the chloroplast genome and 14 in the mitochondria genome. In the sweet potato mitochondrial genome, most genes have RNA editing sites, and the conversion ratio from hydrophilic amino acids to hydrophobic amino acids is the highest, reaching 47.12%. Horizontal transfer occurs in the sweet potato organelle genome; 40 mitochondrial genome segments share high homology with 14 chloroplast genome segments, 33 of which may be derived from chloroplast genome horizontal transfer. The phylogenetic analysis of organelle genes revealed that the leafy sweet potato was closely related to the tetraploid wild species Ipomoea tabascana and the wild diploid species Ipomoea trifida.
Laparoscopic distal pancreatectomy may be an ideal surgical method for benign tumors in the pancreatic neck
Authors: Huang Song , Zhang Jia , Huang Yong 
Published: December 2022

Abstract
Aims
The two surgical methods that can remove pancreatic neck lesions are laparoscopic distal pancreatectomy (LDP) and laparoscopic central pancreatectomy (LCP). However, the benefits of the two surgical methods remain controversial.
Methods
We aimed to compare the benefits and drawbacks of LDP and LCP. In total 50 patients who underwent LDP (n = 34) or LCP (n = 16) between January 2014 and November 2019 were retrospectively reviewed from our database. Their preoperative characteristics, operative data, pathological features, and postoperative outcomes were analyzed.
Results
The baseline features did not significantly differ between the groups (P < 0.05). Compared to the patients in the LDP group, those in the LCP group had significantly longer operation time (392 ± 144 vs. 269 ± 130 min, P = 0.007), time to oral intake (3.8 ± 1.3 vs. 2.8 ± 0.9 days, P = 0.017), and hospital stay (19.6 ± 5.1 vs. 15.4 ± 4.1 days, P = 0.008), and higher hospital expenses (10.1 ± 6.2 vs. 6.6 ± 1.5 WanRMB, P = 0.023). However, there were no significant differences between the two groups in conversion rate (0/16 vs. 0/34), blood loss (154 ± 93 vs. 211 ± 170 ml, P = 0.224), postoperative white blood cell count (10.3 ± 2.7 vs. 11.1 ± 3.1, P = 0.432), first random blood glucose test results after operation (8.2 ± 2.1 vs. 8.6 ± 2.6 mmol/L, P = 0.696), and ascites amylase level on the third day after the surgery [5212(3110, ± 14176) vs. 3142(604,13761) U/L, P = 0.167]. There were also no significant differences in postoperative diabetes incidence (1/16 vs. 5/34) between the two groups. However, LCP was associated with significantly higher rates of pancreatic fistula grades B and C (P = 0.005) and postoperative hemorrhage (P = 0.031).
Conclusion
The only advantage of LCP is that it can retain more pancreatic tissue; however, it poses higher risks to the patients. Moreover, it does not increase postoperative diabetes incidence in patients.
The m 6 A methyltransferase METTL3 affects cell proliferation and migration by regulating YAP expression in Hirschsprung disease
Authors: Zhaorong Huang , Caiyun Luo , Xinwei Hou , Daiyue Yu , Yuqian Su , Xinxin Li , Yinyan Luo , Guoying Liao , Jianhua Mu , Kai Wu 
Published: December 2022

Abstract
Background METTL3, a mRNA m6A methyltransferase, has been implicated in various steps of mRNA metabolism, such as stabilization, splicing, nuclear transportation, translation, and degradation. However, whether METTL3 dysregulation is involved in Hirschsprung disease (HSCR) development remains unclear. In this study, we preliminarily elucidated the role of METTL3 in HSCR and sought to identify the associated molecular mechanism.
Methods The gene expression levels of YAP and several methyltransferases, demethylases, and effectors were evaluated by RT-qPCR. Protein levels were evaluated by western blot and immunohistochemistry. Cell proliferation and migration were detected by CCK-8 and Transwell assays, respectively. The overall levels of m6A modification were determined by colorimetry.
Results We found that m6A levels were reduced in stenotic intestinal tissue of patients with HSCR. When METTL3 was knocked down in SH-SY5Y and HEK-293T cells, the proliferative and migratory abilities of the cells were inhibited, m6A modification levels were reduced, and YAP expression was increased. Importantly, YAP and METTL3 expression displayed a negative correlation in both cell lines as well as in HSCR tissue.
Conclusions Our results provide evidence for an interaction between METTL3 and YAP in HSCR, and further suggest that METTL3 is involved in the pathogenesis of HSCR by regulating neural crest cell proliferation and migration upstream of YAP.
Glycyrrhizic Acid Inhibits Myeloid Differentiation of Hematopoietic Stem Cells by binding S100 Calcium Binding Protein A8 to Improve Cognition in Aged Mice
Authors: Gong Xue , Shen Haitao , Guo Liuling , Huang Ce , Su Tingting , Wang Hao , Feng Shengyu , Yang Shanshan , Huo Fenjiao , Liu Haifeng , Zhu Jianbo , Li Hongbin , Zhu Jian-Kang , Liu Hailiang 
Published: December 2022

Abstract

Background:Glycyrrhizic acid (GA), a saponin compound often used as a flavoring, can elicit anti-inflammatory and anti-tumor effects, and alleviate aging. However, the specific mechanism by which GA alters immune cell populations to produce these beneficial effects is currently unclear.Results:In this study, we systematically analyzed single-cell sequencing data of peripheral blood mononuclear cells from young mice, aged mice, and GA-treated aged mice. Ourin vivoresults show that GA reduced senescence-induced increases in macrophages and neutrophils, and increased numbers of lymphoid lineage subpopulations specifically reduced by senescence.In vitro, GA significantly promoted differentiation of Lin-CD117+hematopoietic stem cells toward lymphoid lineages, especially CD8+T cells. Moreover, GA inhibited differentiation of CD4+T cells and myeloid (CD11b+) cells by binding to S100 calcium-binding protein 8 (S100A8) protein. Overexpression of S100A8 in Lin-CD117+hematopoietic stem cells enhanced cognition in aged mice and the immune reconstitution of severely immunodeficient B-NDG mice.Conclusions:Collectively, GA exerts anti-aging effects by binding to S100A8 to remodel the immune system of aged mice.
Predicting the intestinal permeability and oral absorbable fraction of Vancomycin–loaded Eudragit RS-100 nanoparticles using single-pass intestinal perfusion in rats
Authors: Maram Nader Shakiba , Ahmady Amanollah Zarei , Jelvehgari Mitra , Nokhodchi Ali , Maram Ghazaleh Shakiba , mafakher ladan 
Published: December 2022

Abstract
One of the important factors which influence the efficacy of antibiotics is the size of the particle that affects the permeability and penetration of antimicrobial agents in infected tissue. Vancomycin hydrochloride (VCM), as a large hydrophilic antibiotic, is unable to pass through the intestinal barrier, this antibiotic is administered intravenously to treat systemic infections. One of the approaches to increasing the absorption and permeability of drugs is reducing the size of drugs. For this reason, in this study, the intestinal permeability coefficient and the oral absorbable fraction of Vancomycin nanoparticle were assessed compared to its routine form. To analyze Permeability effectiveness (Peff), absorbable fraction, and absorption number of Vancomycin in nanoparticle and solution form at a concentration of 200, 300, and 400 µg/ml and flow rate of 0.2 ml/min for 80 min, Single-pass intestinal perfusion(SPIP) method was performed. Data showed that the Effective permeability(Peff) of Vancomycin nanoparticles were 2.16, 1.43, and 2.66-fold higher than the routine form of Vancomycin at concentrations of 200, 300, and 400 µg/ml, respectively. Also, this result found a strong relationship between rat and human intestinal permeability. This means that the SPIP method could effectively predict the human Peff by rat model. Stability analysis of Vancomycin nanoparticles in 0, 1, and 2 hours illustrated no mark of corruption of the drug in nanoparticle form. Results showed that vancomycin nanoparticles had a better absorbable fraction and absorption number value than Vancomycin solution after oral drug administration.
Flexible-fabricated sensor module with programmable magnetic actuators coupled to L-cysteine functionalized Ag@Fe 3 O 4 complexes for Cu 2+ detection in fish tissues
Authors: Han Kuiguo , Jiang Bin , Tong Yanqun , Zhang Wen , Zou Xiaobo , Shi Jiyong , Su Xiaoyu 
Published: December 2022

Abstract
Heavy metal contamination for seafood, particularly fish, is arising great concerns, and consequentially it is necessary to develop a simple and direct detection method. In this work, Ag@Fe3O4 is successfully prepared by simple solvothermal method, and we present a flexible-fabricated sensor module with assembled programmable magnetic actuators. The resulting sensor integrates a three-electrode system with two programmable magnetic actuators at the bottom of the device, which regulates the amount of current by adjusting the brake to control the adsorption force and vibration. The L-Cysteine functionalized Ag@Fe3O4 is coated on the surface of the electrode, then the Cu2+ is dropped into the reaction tank. Its performance is studied by cyclic voltammetry and electrochemical impedance spectroscopy, and the key experimental conditions such as deposition potential, deposition time, and electrolyte pH are gradually optimized. Under optimal conditions, Cu2+ can be detected over a wide linear range (0.01~4 μM) and at a low LOD (0.34 nM). The results show that the proposed method has a good application prospect in the detection of Cu2+. This method is successfully applied to Cu2+ analysis in fish samples with an acceptable recovery of 93~102 %.
Immunogenic Cell Death-based prognostic model for predicting the response to immunotherapy and common therapy in lung adenocarcinoma
Authors: Zhou Xiang , Lu Tong , Wang Chenghao , Chang Xiaoyan , Xu Ran , Peng Bo , Shen Zhiping , Yao Lingqi , Wang Kaiyu , Xu Chengyu , Shi Jiaxin , Zhang Ren , Zhao Jiaying , Zhang Linyou 
Published: December 2022

Abstract
Lung adenocarcinoma (LUAD) is a malignant tumor in the respiratory system. The efficacy of current treatment modalities varies greatly, and individualization is evident. Therefore, finding biomarkers for predicting treatment prognosis and providing reference and guidance for formulating treatment options is urgent. Cancer immunotherapy has made distinct progress in the past decades and has a significant effect on LUAD.Immunogenic Cell Death (ICD) can reshape the tumor’s immune microenvironment, contributing to immunotherapy. Thus, exploring ICD biomarkers to construct a prognostic model might help individualized treatments. We used a lung adenocarcinoma (LUAD) dataset to identify ICD-related differentially expressed genes (DEGs). Then, these DEGs were clustered and divided into subgroups. We also performed variance analysis in different dimensions. Further, we established and validated a prognostic model by LASSO Cox regression analysis. The risk score in this model was used to evaluate prognostic differences by survival analysis. The treatment prognosis of various therapies were also predicted LUAD samples were divided into two subgroups. The ICD-high subgroup was related to an immune-hot phenotype more sensitive to immunotherapy. The prognostic model was constructed based on six ICD-related DEGs. We found that high-risk score patients responded better to immunotherapy. The ICD prognostic model was validated as a standalone factor to evaluate the ICD subtype of individual LUAD patients, which might contribute to more effective therapies.
A general co-simulation framework for the generation of coupling condition schemes based on a novel weak formulation at the interface
Authors: Koutras Evangelos , Paraskevopoulos Elias , Natsiavas Sotirios 
Published: December 2022

AbstractCo-simulation techniques are widely used to enable global simulation of a coupled mechanical system via composition of simulators. Within this work, the focus is initially placed on a new scheme for the numerical integration of each subsystem since the corresponding accuracy affects directly the correct solution of a decomposed model. Following that, the new co-simulation methods are introduced. Specifically, a novel coupling strategy for satisfying the coupling conditions in their integral (weak) form, in the time domain, is proposed. This formulation constitutes a general framework for the generation of coupling condition schemes with varying accuracy and stability properties, based on the choice of basis and order of polynomials for the involved quantities, thus creating a whole new perspective on the field of co-simulation. In addition, the point-collocation method, which is mainly employed in the literature, is easily recognized as a degenerate case of this general weak formulation. The essential ideas of the new techniques are initially introduced by utilizing a simple linear model of two masses, constrained with a fixed joint. Subsequently, nonlinear models of a single and a double planar pendulum are investigated for the new numerical integration and co-simulation techniques, respectively. The models examined are relatively simple, but the developed methods have general validity and can be applied for coupling arbitrary multibody or structural solvers.
Prediction of Thermal Modified Wood Color Change after Artificial Weathering Based on IPSO-SVM Model
Authors: Li Juncheng , Wang Wei , Wang Haolin 
Published: December 2022

Abstract
The support vector machine (SVM) model was applied to the prediction of the color change of heat-modified wood after artificial weathering. In order to improve the prediction performance, the improved particle swarm optimization (IPSO) algorithm was used to optimize the parameters of the SVM model, and the IPSO-SVM model was established based on the nonlinear descending weight strategy to improve the particle swarm optimization. To verify the performance of the established model, MAE, RMSE and R2 of the test set and training set were compared with the PSO-SVM model and SVM model. According to the analysis of the results, the RMSE of the training set data of IPSO-SVM model is reduced by 49% and 72%, the MAE is reduced by 52% and 78%, and the RMSE of the test set data is reduced by 6% and 24%, and the MAE is reduced by 2% and 25%, respectively. The results show that the support vector machine optimized by the improved particle swarm optimization algorithm is more accurate in predicting the color change of the heat-modified wood after artificial weathering.
Parent Involvement in Mental Health Treatment for Autistic Children: A Grounded Theory-Informed Qualitative Analysis
Authors: Chan Victoria , Albaum Carly S. , Khanlou Nazilla , Westra Henny , Weiss Jonathan A. 
Published: December 2022

Abstract
Cognitive behavior therapy (CBT) is an effective treatment for many autistic children experiencing mental health problems, and parents are particularly involved in their psychotherapy. This study presents a conceptual framework of successful parent involvement in CBT for autistic children. Seventeen therapists (94% female) and 11 mothers were interviewed about their involvement in a CBT program for autistic children ages 8-13 years. The conceptual framework depicts how parent involvement varies depending on child, parent, and environmental factors. Parents’ contributions to therapy were grouped into five main roles. Parents’ beliefs and attitudes toward therapy also influenced their involvement. This is the first study to empirically investigate how parents of autistic children contribute to the therapeutic process in CBT.
Dynamics of a Non-autonomous Predator-preysystem With Holling Type III Response
Authors: K Bharadwaj B V , Koaru Sreevatsava , K Vamsi D K 
Published: December 2022

Abstract
In this paper, we study few complex dynamics of a non-autonomous predator-prey system with a Holling type III functional response.We present conditions for boundedness, positive invariance, permanence and ultimately boundedness of solutions.