bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cell-free DNA as prognostic and diagnostic biomarkers for adult sepsis: a systematic review and meta-analysis
Authors: Charoensappakit Awirut , Sae-khow Kritsanawan , Rattanaliam Pongpera , Vutthikraivit Nuntanuj , Pecheenbuvan Monvasi , Udomkarnjananun Suwasin , leelahavanichkul Asada 
Published: August 2023

Abstract
Background: Although cell-free DNA (cfDNA) is an emerging sepsis biomarker, the use of cfDNA, especially as diagnostic and prognostic indicators, has surprisingly not been systemically analyzed.
Methods: Data of adult patients with sepsis that conducted cfDNA measurement within 24 h of the admission was collected from PubMed, ScienceDirect, Scopus, and Cochrane Library until October 2022. The Quality in Prognosis Studies (QUIPS) and Quality Assessment in Diagnostic Studies-2 (QUADAS-2) tools were used to reduce the risk of biased assessment. The mean difference (MD) of cfDNA concentration and the standardized mean difference (SMD) between populations was calculated using Review Manager (RevMan) version 5.4.1 package software.
Results: Pooled analysis from 18 included studies demonstrated increased serum cfDNA levels in sepsis when compared with healthy control (SMD = 1.02; 95% confidence interval (CI) 0.46-1.57) or non-sepsis patients in the intensive care unit (ICU) (SMD = 1.03; 95% CI 0.65-1.40), respectively. Meanwhile, a slight decrease in the statistical value was observed when compared with non-sepsis ICU patients with SIRS (SMD = 0.74; 95% 0.41-1.06). The lower cfDNA levels were also observed in sepsis survivors compared to the non-survivors (SMD at 1.43; 95%CI 0.69-2.17) with the pooled area under the receiver operating characteristic curve (AUC) of 0.76 (95% CI 0.64-0.87) for the mortality prediction. Levels of cfDNA showed a pooled sensitivity of 0.81 (95% CI 0.75 - 0.86) and specificity of 0.72 (95% CI 0.65 - 0.78) with pooled diagnostic odd ratio (DOR) at 25.03 (95% CI 5.48 – 114.43) for the identification of sepsis in critically ill conditions.
Conclusions: The cfDNA levels were significantly higher in patients with sepsis and being a helpful indicator for the critically ill conditions of sepsis. Nevertheless, results of the test must be interpreted carefully with the context of all clinical situations.
It’s time for bed! General procrastination and bedtime procrastination as serial mediators of the relationship between temporal perspective and sleep outcomes.
Authors: Herzog-Krzywoszanska Radoslawa , Krzywoszanski Lukasz , Jewula Beata 
Published: August 2023

Abstract

Adequate and sufficient sleep is essential for good health, effective functioning and well-being. However, recent trends indicate an increase in sleep deprivation, with adolescents and young adults being a particularly vulnerable group. General procrastination (GP) and bedtime procrastination (BP), understood as the tendency to delay going to bed without external pressure, are factors that can contribute to sleep deprivation and fatigue. In our study, we used a serial mediation model to test whether the relationship between time perspective and sleep sufficiency and daytime fatigue may be serially mediated by procrastination and bedtime procrastination. The Zimbardo Time Perspective Inventory, the Irrational Procrastination Scale, the Bedtime Procrastination Scale, and the Sleep Inventory were completed online by 399 university students between the ages of 19 and 27. Results showed that future time perspective predicted lower general procrastination, which in turn was associated with lower BP, and consequently higher sleep sufficiency and lower daytime fatigue. Past negative time perspective predicted higher GP, which in turn was associated with higher BP and consequently lower sleep sufficiency and higher daytime fatigue. These findings suggest that time perspective, general procrastination and bedtime procrastination may play an important role in predicting sleep sufficiency and daytime fatigue.
SIRT1 profile update in high-risk pregnancies and preeclampsia: A novel comprehensive cohort study
Authors: Mukminah Aisyatul , Sargowo Djanggan , Sujarwoto Sujarwoto , Raharjo Bambang , Nurwidyaningtyas Wiwit 
Published: August 2023

Abstract
The preeclampsia etiology is unclearly understood, becoming considerable concern as an aging-related disease. Accelerated prematurity of cell death associated with decreased Sirtuin (SIRT)1 activity. This study was designed to estimate the SIRT1 serum profile in high-risk pregnancies to preeclampsia development probability. This study was conducted from January to October 2020, 305 screened pregnant women with a gestational age of 4 weeks up to < 20 weeks were enrolled in a prospective cohort study up to sixth weeks postpartum. Women with existing complications during follow-up such as antenatal bleeding, placental abruption, hepatitis, abortion, death, and rejection under follow-up were excluded. Serum SIRT1 variance that was measured by ELISA at the baseline and endline of the study were investigated with the preeclampsia progression. Our results demonstrate, that constan serum SIRT1 concentration until third trimester of pregnancy tend to increased development of preeclampsia. In contrast, SIRT1 concentrations at normal pregnancy outcomes appear to be higher in late pregnancy (gestational age > 37 weeks). Importantly, we found that serum SIRT1 concentration was significantly reduced in pregnancy-developed preeclampsia than in normal pregnancy (p < 0.001). We concluded that the lack of elevating serum SIRT1 concentrations until > 20 weeks of gestation increases the likelihood of developing preeclampsia. Ultimately, we provide a translational perspective to driving accelerating SIRT1 serum concentrations in women with at-risk pregnancies from early pregnancy towards > 20 weeks gestation, becoming a further study that promises effort to prevent preeclampsia and improve women's quality of life.
Inter-relationship between residual stresses, microstructural evolutions, and mechanical responses of heat treatable aluminum alloys during welding: a numerical and experimental study
Authors: Sarmast Ardeshir , Serajzadeh Siamak 
Published: August 2023

Abstract
Welding of heat treatable aluminum alloys poses a significant challenge due to the formation of unwanted microstructural changes, inferior mechanical properties, and formation of residual stresses (RS). An understanding of the inter-relationship between these aspects is crucial for the successful design of welding procedures. Given the complexity of these materials, a combination of numerical and experimental investigations is necessary to address this inter-relationship. In this work, the effect of welding heat input on the post-weld precipitation hardening, changes in mechanical properties, RS formation, and their inter-relationship in different welding regions of the heat treatable AA2024 was numerically and experimentally studied. Two different thicknesses of the base material, 3.5 mm and 6 mm were chosen to investigate the effect of different heat inputs and geometries. The results show that the highest RS are formed in the partially melted zone (PMZ) and heat affected zone (HAZ), with values of 300 MPa and 221 MPa, respectively, for the 6 mm sample, where the mechanical properties and microstructure were most affected. These high tensile RS accelerate the age hardening process of these regions, resulting in 20 HV changes in the PMZ and 14 HV changes in the HAZ in 70 days. The strength of the material due to these microstructural evolutions determined the load bearing of each region and their maximum RS.
Association between Angiotensin Converting Enzyme Gene I/D and Promoter Polymorphisms and Diabetic Nephropathy in Type2 Diabetic Patients in Ismailia, Egypt
Authors: Hassan Nashwa R. , Tolba Shrouq M. , Leheta Ola F. , Mossad Ahmed Mohammed , Abdalla Mohamed O. 
Published: August 2023

Abstract
BACKGROUND: There is mounting evidence that the chronic activation of renal and systemic ACE, which results in the production of Angiotensin II, is a critical step in the pathogenesis of DN. Chronic ACE activation causes an increase in intraglomerular pressure, tissue damage, pro-inflammatory effects, and promotes fibrosis.
AIM: The purpose of this study was to determine if ACE polymorphisms (I/D rs4646994 and promoter SNP, rs4292) and ACE level were related to the DN development in T2DM patients in the Egyptian community.
PATIENTS AND METHODS: This study is designed as a case control study which enrolled 90 subjects divided into three groups: 30 diabetic patients without DN, 30 diabetic patients with DN and 30 healthy individuals as control group. We measured for each patient the following: serum creatinine, eGFR, ACR, lipid prolife, HbA1C, as well as serum ACE level. Genotyping of ACE I/D and promoter SNP, rs4292, polymorphisms in ACE gene were performed using conventional PCR assays.
RESULTS: The laboratory data analysis revealed that the only variables across the trial groups that indicated a significant statistical difference were serum creatinine, eGFR, ACR, HDL-C, LDL-C, and HbA1c. Total cholesterol and triglycerides did not. Between the study groups, there was a substantial statistical difference in the level of serum ACE. In our population, the genotype and allele frequencies of the ACE I/D gene polymorphism varied considerably between research groups, suggesting that it may be a risk factor for DN. In comparison to individuals of the wild type (II), the (DD) genotype considerably raised the probability of progression to T2DM by about six times and of progression to DN by about ten folds. This study found that the ACE promoter rs4292 (C/T) polymorphism is a risk factor for developing DN. The (TT) genotype is associated with increased susceptibility to DN as it was higher in diabetic patients with nephropathy than the two other study groups. However, there was no statistically significant difference in the study variables among different genotypes subgroups.
CONCLUSION:According to our research, the mutant alleles (T) of the ACE promoter rs4292 (C/T) polymorphism and the ACE I/D rs4646994 polymorphism may both be risk factors for DN in the Egyptian population.
Calcium concentration regulates interspecific interaction of algae along the nutrient gradient
Authors: Zhou Qing Shi , Hou Jing Ming , Gao Yang , Wang Tian , Li Bing Yao , Pan Zhan Peng , Sun Xue Liang , Duan Chang Hui 
Published: August 2023

Abstract
Although many studies have focused on the influence of abiotic stress gradients on biological interactions, few studies explained the effects of both resource and non-resource stress on the facilitation. We conducted a controlled experiment to study the effects of nutrient stress on the interspecific between Phormidium corium and Scenedesmus quadricauda along calcium gradient. The results showed that when the calcium concentration was high, the competitive interaction changed into positive interaction along the nutrient stress. In the stress environment, the population density is low and the encounter rate is low. Moreover, facilitation may improve the harsh environment and make it more beneficial to the beneficiary species. When the calcium concentration was low, the facilitation reached the peak under medium resource stress. This phenomenon may be caused by the interaction between salt stress and nutrient. When calcium stress was high, it may not be conducive to the absorption of nutrients by algae. While the facilitation effect may be strongest in the medium stress environment due to the relatively sufficient resource. These results emphasized the importance of non-resource stress in interspecific relationships, pointed out a new direction for the study of facilitation, and provided theoretical guidance for the prevention of freshwater blooms.
Research on digital twin modeling and monitoring technology for smoke alarm calibration system
Authors: Wu Min , Ying Wenfeng 
Published: August 2023

Abstract
Aiming at the problems of backward calibration method of smoke alarm, low production efficiency and difficult real-time monitoring, a digital twin system modeling and monitoring method of smoke alarm calibration is proposed First, through the analysis of smoke alarm calibration requirements, the overall framework design of the digital twin calibration system for smoke alarm is proposed, and then the twin model of smoke box is constructed by running the digital twin five-dimensional model The physical smoke box, geometric model, physical model, rule model and behavior model are introduced in detail; Then the communication system architecture, data acquisition and data mapping are used to construct the twin data model; Finally, the feasibility was verified by the calibration system of an enterprise Through the system, the qualified rate of smoke alarm calibration was increased from 98% to 99.6%, and the repair rate of defective products was reduced by 1.6%.
Screening and functional verification of drought resistance-related genes in castor bean seeds
Authors: Luo Rui , Wang Zhiyan , Wen Qi , Liang Xiaotian , Zhao Huibo , Zhao Yong , Yin Mingda , Wen Yanpeng , Hu Xuemei , Huang Fenglan 
Published: August 2023

Abstract
Due to its limited freshwater resources, China has large arid and semiarid regions. Drought is one of the natural stresses that greatly impact plants. Castor bean (Ricinus communis L.) is an oil crop with high economic value. Drought is one of the factors limiting castor bean growth. The drought resistance mechanisms of castor bean have become a research focus. In this study, we screened out the genes related to drought resistance in castor bean embryos at the germination stage through combined physiological measurements、proteomic and metabolomic analysis. These genes were heterologously overexpressed and complementarily expressed in Arabidopsis thaliana to analyze their roles in the response mechanism of A. thaliana to drought resistance. The experimental results are as follows: The germination stage embryos of castor oil treated with water for 48 h (S48), 60 h (S60), and 15% PEG 6000 for 48 h (P48) and 60 h (P60) were used as experimental materials, and the embryos of S48 and S60 were used as experimental materials. As a control, the physiological activity (CAT, SOD, POD, GST, T-AOC), content (MDA, H2O2, Pro) and hydroxyl radical scavenging ability of embryo samples P48 and P60 treated with 15% PEG 6000 for the same time were measured. The results showed that compared with the control, with the increase of treatment time, the CAT activity, SOD activity, POD activity, H2O2 content, Pro content and hydroxyl radical scavenging ability of castor embryos all showed an upward trend, while GST activity, T-AOC activity and T-AOC activity increased. The activity and MDA content showed a downward trend. Based on combined physiological measurements、proteomic and metabolomic analysis and RT-qPCR validation, three significantly upregulated genes, RcECP63 (LOC8274875), RcDDX31 (LOC8282119), and RcA/HD1 (LOC8277163), were finally selected for study. We compared the growth, germination, expression of RcECP63, RcDDX31, and RcA/HD1, and physiological indicators of four types (mutant, complementary-expression, wild-type, and overexpression) of A. thaliana under drought stress. The comparison showed that as the mannitol concentration increased, the A. thaliana plants on mannitol medium exhibited shorter root lengths, less lateral roots, and lower germination rates. Compared with the controls, the drought-stressed overexpression and complementary-expression transgenic plants showed an overall trend of upregulation of RcECP63, RcDDX31, and RcA/HD1. The functions of the three genes in drought stress response were further verified by the measurement of physiological indicators.
Exploring the Potency of Machine Learning Approaches in Enhancing Spam Detection Accuracy
Authors: Fathima Afrah , Devi G Shree , Faizaanuddin Mohd 
Published: August 2023

Abstract
Spam in mobile communication networks is a serious problem since it interferes with user experience and jeopardises user privacy. A precise and reliable spam detection technique is required for mobile Short Message Service (SMS) communication to successfully combat this issue. In our study, we suggest utilising machine learning-based spam detection strategies to achieve precise identification. With this technique, ham and spam messages in mobile communication are categorised using machine learning classifiers including Support Vector Machine (SVM), K Nearest Neighbour (KNN), Logistic Regression (LR), and Light GBM (LGBM). The SMS spam collection dataset, which was split into two groups for training and testing, was used in our trials to assess the methodology. In terms of classification performance, the trials' findings demonstrated that LGBM performed better than others, obtaining a remarkable accuracy of 98%. This shows how successfully we have addressed the problem of spam in mobile SMS communication.
PDIA3 knockout abrogate effects of 1,25(OH)2D3 on cellular respiration and glycolysis in squamous cell carcinoma
Authors: Nowak Joanna I. , Olszewska Anna , Król Oliwia , Żmijewski Michal A. 
Published: August 2023

Abstract

PDIA3 is an endoplasmic reticulum disulfide isomerase which is involved in the folding and trafficking of newly synthesized proteins. PDIA3 was also described as an alternative receptor for the active form of vitamin D 1,25(OH)2D3. Here, we investigated the impact of PDIA3 in mitochondrial morphology and bioenergetics in squamous cell carcinoma line A431 treated with 1,25(OH)2D3. It was observed that PDIA3 deletion resulted in changes in morphology of mitochondria including a decrease in the percentage of mitochondrial section area, maximal diameter, and perimeter. 1,25(OH)2D3 treatment of A431∆PDIA3 cells partially reversed the effect of PDIA3 deletion increasing aforementioned parameters, while in A431WT cells only an increase in mitochondrial section area was observed. Moreover, PDIA3 knockout affected mitochondrial bioenergetics and modulated STAT3 signaling. Oxygen Consumption Rate (OCR) was significantly increased, with no visible effect of 1,25(OH)2D3 treatment in A431∆PDIA3 cells. In the case of Extracellular Acidification Rate (ECAR) rate an increase was observed for glycolysis and glycolytic capacity parameters in the case of non-treated A431WT cells versus A431∆PDIA3 cells. 1,25(OH)2D3 treatment had no significant effect on glycolytic parameters. Taken together presented results suggests that PDIA3 is strongly involved in the regulation of mitochondrial bioenergetics in cancerous cells and modulation of its response to 1,25(OH)2D3, possibly through STAT3.
IoT devices and data availability optimization by ANN and KNN
Authors: Chen Zhiqiang , Song Zhihua , Zhang Tao , Wei Yong 
Published: August 2023

Abstract
To improve the availability of IoT devices and data, research has been conducted on rapid prediction of instantaneous fault rates and temperatures. An IoT device and data availability optimization scheme based on artificial neural networks and K-nearest Neighbo drivers is proposed, using artificial neural network algorithms and K-nearest Neighbo driven neural network algorithms. The preliminary algorithm for achieving availability optimization is selected, and the objectives are divided into data optimization and device optimization. Applicable models are constructed separately, and the proposed optimization model is solved using the K-neighborhood driven neural network algorithm. The validation results showed that the proposed scheme reduced the maximum temperature to 2.0750 ℃ compared to the benchmark method, availability forward fault-tolerant method, and heuristic optimization algorithm. Compared with the first three methods, the improved method can improve the average availability of IoT devices by 27.03%, 15.76%, and 10.85%; The instantaneous fault rates of the three algorithms reached 100%, 87.89%, and 84.4%. This optimization algorithm has high efficiency in eliminating fault signals and optimizing the prediction of time limited satisfaction, and has strategic foresight in the decision plans of decision implementers.
Intelligence Based Full Car with Driver Active Suspension System for Refinement of Ride Comfort
Authors: S Fahira Haseen , P Lakshmi , P Aathirai S 
Published: August 2023

Abstract
A suspension system plays an active role in balancing the conflicting requirements of stability and ride comfort in an automobile. The health of the driver is an important aspect since continuous exposure to vehicle vibrations may lead to severe health hazards in long run. In this study, full car with driver model of 13 Degrees of Freedom (DOF) is considered. The vehicle is tested under bump, pulse, half-sine and different classes of random road profiles (ISO 8608) for analysis in Matlab/Simulink environment. Initially the vehicle suspension is tested for a Proportional Integral and Derivative (PID) controller. To deal with higher complexity of the vehicle design, intelligent controllers are implemented. Fuzzy Logic Controller (FLC) is designed for the vehicle which plays a role in vibration suppression and ride comfort (ISO 2631-1 standard) improvement. This design is further enhanced by Adaptive Neuro-Fuzzy Inference System (ANFIS) controller which incorporates the advantages of both fuzzy and neural control system. The time domain analysis and ride comfort analysis show that ANFIS controller gives better control over linear PID controller, FLC and Passive Suspension System (PSS). To evaluate the effectiveness of the controller, it is tested for various classes of random road profile for varying speed condition. Simulation results show that ANFIS controller fed system gives better ride comfort and passenger safety by reducing the Root Mean Square (RMS) values of Head Acceleration (HA), Frequency Weighted RMS (FWRMS) values of HA, Vibration Dose Value (VDV) at the driver head and Power Spectrum Density (PSD) analysis of HA. Also, the proposed ANFIS controller is experimentally verified on laboratory Quarter car setup. It is tested on two road inputs namely pulse input and half-sine input. This analysis also proves that the ANFIS controller performs better than FLC and PSS.
1,3-diphenylureido hydroxamate: a promising scaffold for generation of potent antimalarial histone deacetylase inhibitors
Authors: Tavares Maurício T. , Krüger Arne , Yan Sun L. Rei , Gomes Vinícius M. , Oliveira Daffiny Sumam , Paz Franciarli , Waitman Karoline , Ruiz Claudia , Toledo Mônica F. Z. J. , Hassimotto Neuza M. A. , Machado-Neto João A. , Poso Antti , Cameron Michael D. , Bannister Thomas D. , Palmisano Giuseppe , Wrengler Carsten , Kronenberger Thales , Parise-Filho Roberto 
Published: August 2023

Abstract
We report a series of 1,3-diphenylureido hydroxamate HDAC inhibitors evaluated against sensitive and drug-resistant P. falciparum strains. Compounds 8a-d show potent antiplasmodial activity, indicating that a phenyl spacer allows improved potency relative to cinnamyl and di-hydrocinnamyl linkers. In vitro, mechanistic studies demonstrated target activity for PfHDAC1 on a recombinant level, which agreed with cell quantification of the acetylated histone levels. In silico studies suggest that the phenyl linker has an ideal length in the series for permitting effective interactions of the hydroxamate with PfHDAC1 and that this compound series could bind as well as in HsHDAC1. Taken together, these results highlight the potential of diphenylurea hydroxamates as a privileged scaffold for the generation of potent antimalarial HDAC inhibitors with improved selectivity over human HDACs.