bluuebunny/crossref_metadata_2025_split huggingface dataset:
Renal tissue oxygenation and development of AKI in preterm neonates
Authors: Condit Paige , Chuck Jennifer , Lasarev Michael , Chock Valerie , Harer Matthew 
Published: September 2023

Abstract
Objective: To evaluate the relationship between regional renal saturation of oxygen (RrSO2) changes and serum creatinine (SCr) during the first week of age for preterm neonates.
Design: Prospectively measured neonatal RrSO2 values collected during the first week of age in neonates. Acute kidney injury (AKI) was defined by the neonatal modified Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Variables were compared between groups.
Results: 109 neonates were included and 561 SCr values were obtained. 8 participants developed AKI by SCr criteria. A 10-percentage point increase in mean %RrSO2 was associated with a 40% decrease in risk of AKI (95%CI: 9.6–61%; p = 0.016).
Conclusions: Increases in mean %RrSO2 in neonates born at < 32 weeks GA were associated with a decreased risk of AKI. These findings support the design of further prospective trials utilizing renal NIRS monitoring to evaluate new therapies or clinical protocols to prevent and treat neonatal AKI.
Cholangitis with bacteremia due to Pseudomonas nitroreducens in a patient with pancreatic neuroendocrine tumors: A case report
Authors: Itoh Naoya , Akazawa Nana , Yamaguchi Makoto , Murakami Hiromi , Ohkusu Kiyofumi 
Published: September 2023

Abstract
Background: Pseudomonas nitroreducens is a non-fermenting, gram-negative, rod-shaped bacterium commonly inhabiting soil, particularly soil contaminated with oil brine. To our knowledge, no cases of human infection with P. nitroreducens have been previously reported. Here, we present the first documented case of cholangitis caused by P. nitroreducens in a patient with bacteremia.
Case presentation: A 46-year-old Japanese man with an advanced pancreatic neuroendocrine tumor was hospitalized with fever and chills. Four days before admission, the patient developed right upper abdominal pain. Two days later, he experienced fever and chills. Endoscopic retrograde cholangiopancreatography was performed on the day of admission, and the patient was diagnosed with cholangitis associated with stent dysfunction. Gram-negative rods were isolated from blood cultures, but attempts to identify the bacteria using VITEK2 and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) with VITEK MS ver. 4.7.1 (bioMérieux Japan Co. Ltd., Tokyo, Japan) were unsuccessful. Finally, the organism was identified as P. nitroreducens using MALDI-TOF MS with a MALDI Biotyper (Bruker Daltonics Co., Ltd., Billerica, MA, USA) and 16S ribosomal RNA sequencing. Despite thorough careful interviews, the patient had no exposure to contaminated soil. The patient was treated with intravenous cefepime and oral ciprofloxacin for 16 days based on susceptibility results, with good therapeutic outcome. At the outpatient follow-up on day 28, the patient was in good general condition.
Conclusions: This is the first reported human case of cholangitis with bloodstream infection caused by P. nitroreducens. This report provides clinicians with novel insights into the clinical manifestations and diagnostic methods necessary for the accurate diagnosis of P. nitroreducens, along with guidance on treatment.
Yield Gap and Water and Fertilizer Use Efficiency Gap for Maize on the Upland China
Authors: Wang Shuying , Fan Tinglu , Zhao Gang , Ma Mingsheng , Cheng Wanli , Li Shangzhong , Dang Yi , Wang Lei , Zhang Jianjun , Zhou Gang , Li Xingmao , Ni Shengli 
Published: September 2023

Abstract
Maize (Zea mays L.) is one of the main agricultural crops with the largest yield and acreage in the Upland China. The improvement of the yield and yield gap(YG) of Maize has been receiving increasing research attention. This study offers a theoretical foundation for enhancing maize yield and optimizing water use efficiencie (WUE) and fertilizer use efficiencies in major grain-producing regions. It specifically investigated the impact of various cultivation methods on maize yield and the WUE and fertilizer use efficiency in the arid regions of Gansu, ultimately identifying the most effective modes of cultivation. This study was conducted in the regions of Zhenyuan and Dingxi, Gansu Province, China, from 2018 to 2020. Dryland maize comprised four modes of cultivation management for planting density, fertilizer application, and mulching method—basic yield level (CK), farmer level (FP), high yield and high-efficiency level (HH), and super high yield level (SH). YSH, YHH, YFP, and YCK comprised 32.57%, 45.00%, 56.50%, and 67.03% (Zhenyuan) and 47.97%, 58.52%, 63.94%, and 80.06% (Dingxi) of YHR. The YG between maximum yield (YHR) and SH yield (YSH), YSH and HH yield(YHH), YHH and FP yield(YFP), and YFP and CK yield(YCK) were found to be 11.89t.ha-2 , 2.56t.ha-2 , 2.54t.ha-2 , 2.95t.ha-2. The current uncontrollable factor contribution rate for the YG was 59.12%, the contribution rate of the controllable factor for the yield gap was 40.88%. This indicates a huge scope for improvement in the maize yield per unit area in Gansu. The water use efficiency gap (WG) between SH and HH, HH and FP, and FP and CK were 7.15kg.mm-1. ha-2 , 4.34kg.mm-1 .ha-2 and 10.52kg.mm-1 .ha-2. The nitrogen partial productivity gap (PFPGN) between SH and HH, and HH and FP were determined to be 5.41kg.kg-1 and 13.13kg.kg-1 , respectively, while the phosphorus partial productivity gap (PFPGP) was 9.46kg.kg-1 and 21.43kg.kg-1. The YG exhibited a positive correlation with the WUEG while demonstrating a negative correlation with both the PFPGN and PFPGP. Among the different regions studied, Gansu Province demonstrated the highest yield and WUE for upland maize under super-high-yield conditions. The study revealed that the highest partial productivity of nitrogen and phosphate fertilizers was observed at the farmer level. Consequently, it is imperative to enhance fertilizer use efficiency in SH and HH modes to achieve further increases in crop yield. This improvement is particularly crucial for dry maize production, as it plays a significant role in safeguarding national food security.
Sentiment Analysis of Tweets Using Logistic Regression and Neural Networks with Emojis and Emoticons
Authors: KARTHIKEYA KONATHALA , YASWANTHI KANDIMALLA , SAI EMMELA JAINENDRA , Pradeepini G. , KIRAN YARABARLA N V N A SAI , Bulla Suneetha 
Published: September 2023

Abstract
Emojis and emoticons have become ubiquitous in digital communication, providing additional cues for sentiment analysis beyond just the text. This paper explores sentiment analysis specifically using emojis and emoticons in text data. We conduct experiments to determine the impact of emojis and emoticons on sentiment classification performance. Models are developed using a benchmark Twitter dataset labeled for sentiment. We compare models trained on just text data versus models trained on text data enhanced with emojis and emoticons. Results demonstrate that incorporating emoji and emoticon features leads to significant gains in sentiment classification accuracy. Further analysis provides insights into the most informative emoji and emoticon features for sentiment analysis. The findings suggest emojis and emoticons should be considered as important features in sentiment analysis systems dealing with informal digital text.
Determination of space-time-dependent source terms in the integer-fractional mobile-immobile solute transport system
Authors: Yu Chengyuan , Liu Wenyi , Li Gongsheng 
Published: September 2023

Abstract
We consider a numerical inversion problem of determining two space-time-dependent source terms in the integer-fractional mobile-immobile solute transport model by using the Dirichlet-Neumann boundary data. The unique existence of a solution to the forward problem is obtained by the inverse Laplace transform, and a dynamical system connecting the known data with the unknown sources is established by the variational method and boundary homogenization. The dynamical system is discretized to a linear system at given time in the homogenized polynomial space, and the source functions can be reconstructed by the alternative iteration and Tikhonov regularization. Two examples are presented to illustrate the validness of the inversion algorithm.
MSC(2010) 35R11; 35R30; 65N21
A Bayesian identification framework for stochastic nonlinear dynamic systems based on a new likelihood approximation
Authors: Pandey Pushpa , Khodaparast Hamed Haddad , Friswell Michael Ian , Chatterjee Tanmoy , Madinei Hadi , Deighan Tom 
Published: September 2023

Abstract

The paper introduces a Bayesian framework in conjunction with Markov Chain Monte Carlo (MCMC) sampling for parameter estimation in nonlinear stochastic dynamic systems. The proposed methodology is applied to both numerical and experimental cases. The paper commences by introducing Bayesian inference and its constituents: the likelihood function, prior distribution, and posterior distribution. Resonant decay method is employed to extract backbone curves, which capture the nonlinear behavior of the system. A mathematical model based on a single degree of freedom (SDOF) system is formulated, and backbone curves are obtained from time response data. Subsequently, MCMC sampling is employed to estimate the parameters using both numerical and experimental data. The obtained results demonstrate the convergence of the Markov chain, present parameter trace plots, and provide estimates of posterior distributions of updated parameters along with their uncertainties. Experimental validation is performed on a cantilever beam system equipped with permanent magnets and electromagnets. The proposed methodology demonstrates promising results in accurately estimating parameters of stochastic nonlinear dynamical systems. Through the use of proposed likelihood functions grounded in backbone curves, the probability distributions of both linear and nonlinear parameters are simultaneously identified. Based on this view, the necessity to segregate stochastic linear and nonlinear model updating is eliminated.
Non-interventional weight changes are associated with alterations in uric acid levels
Authors: Weinstein Shiri , Maor Elad , Kaplan Alon , Hod Tammy , Leibowitz Avshalom , Grossman Ehud , Shlomai Gadi 
Published: September 2023

Abstract
Background
uric acid is an emerging cardiovascular risk factor. Obesity is associated with higher serum UA.
Objective
we aimed to assess whether non-interventional weight changes affect serum UA.
Design
a retrospective analysis of subjects referred to annual medical screening. Body mass index (BMI) and uric acid were measured annually.
Participants
19,193 patients were divided to five groups according to the change in BMI between visits (large reduction, moderate reduction, unchanged, moderate increase, and large increase).
Main Measure
the primary outcome was the change in uric acid levels between visits.
Key Results
uric acid levels were progressively lower or higher as BMI decreased or increased, respectively. The proportion of patients with at least 10% rise in uric acid progressively increased with the relative increase in BMI, while the proportion of patients with at least 10% decrease in uric acid decreased with the relative increase in BMI.
Conclusions
even modest non interventional weight changes are associated with serum uric acid.
Causal effect of serum magnesium on the risk of 9 respiratory diseases: a Mendelian randomization study
Authors: Zhang Jingtao , Li Yang , Huang Zhaohao , Chen Zhiguo , Wu Xuxing , Zou Wei 
Published: September 2023

Abstract
Objective: Although the association between serum magnesium and respiratory diseases has been explored, the causal effects of serum magnesium on respiratory diseases are largely unknown. Here we performed a Mendelian randomization(MR) analysis to investigate the association between serum magnesium concentrations and risk of 9 respiratory diseases.
Methods: Mendelian randomization was conducted using single-nucleotide polymorphisms(SNPs) associated with serum magnesium as instrumental variables.To select SNPs, we used publicly available summary-level data from Genome-wide association studies (GWASs). We used inverse-variance weighted (IVW), weighted median, MR-Egger regression approaches in this analysis.The IVW method was used in the primary analysis to obtain the causal estimates.
Results: Genetically predicted serum magnesium was inversely associated with the risk of asthma.The odds ratios in genetically predicted serum magnesium concentrations was 0.229 (95% confidence interval [CI] 0.065-0.806; p=0.022),which was further confirmed by multiple sensitivity analyses. Other diseases such as pulmonary embolism, lobar pneumonia, COVID-19, lung adenocarcinoma, lung squamous cell carcinoma, bronchiectasis, tuberculosis and interstitial lung disease did not yield statistically significant results.
Conclusions: High genetically predicted serum magnesium was causally associated with a decreased risk of asthma and suggested that serum magnesium concentrations may be crucial to prevent the onset of asthma.
SkewEngine: Enhancing Performance of Intensive Calculations on Regular Meshes
Authors: Romero Felipe , Ortigosa Pilar M. , Bandera Gerardo , Romero Luis F. 
Published: September 2023

Abstract

In various applications such as hyperspectral data manipulation, MRI data exploration, or viewshed identification in digital elevation models, performing arithmetic operations on each point of a data mesh that involves other points can lead to computationally intractable problems. This paper presents SkewEngine, a tool designed to improve the performance of intensive calculations on regular 2D data meshes, such as images, multispectral data volumes, or digital elevation models. SkewEngine addresses this problem by reorganizing the mesh in memory according to a preferred spatial direction, enabling more efficient execution of intensive calculations. It is demonstrated that SkewEngine offers significant speed improvements for various test cases, suggesting its usefulness in a broader range of applications requiring intensive data processing on regular meshes.
Anti-Müllerian Hormone (AMH) level in poor-responder women and its correlates with lifestyle and socio-demographic characteristics
Authors: Hakimi Parvin , Tabatabaei Fatemeh , Namin Fatemeh Kazemi , Fattahi Amir , Ghaffari Roya , Azizi Hosein , Kabodmehri Roya , Alborzi Mahshid 
Published: September 2023

Abstract
Background
Anti-Mullerian hormone (AMH) is an indicator of women ovarian reserve or the number of follicles remaining in a woman's ovaries. Unlike other groups of women, AMH level is poorly understood in poor-responders women. We aimed to investigate AMH level in poor-responder women and how it’s related to reproductive factors, lifestyle and socio-demographic characteristics.
Methods
A total of 119 poor-responder women were randomly selected from the infertility clinic of Al-Zahra Hospital, Tabriz, in 2022. Lifestyle and reproductive factors were measured using trained interviews and valid instruments. Linear regression analysis was carried out to estimate predictors of AMH level among poor-responder women in the presence of effective factors.
Results
There was a significant negative correlation between advanced age (year) and AMH level (r= -0.35, P = 0.001). After adjusting for the potential confounders, advanced age (β= -0.162), never/seldom (β= -0.199), and less than 2-items (β= -0.041) vegetable intake per day were significantly decreased AMH levels among poor-responder women (P < 0.05). Furthermore, passive smoking; never/seldom and low physical activity levels decreased AMH levels but no significantly.
Conclusion
The study found that AMH level was associated with age and lifestyle factors among poor-responder women. Lifestyle promotion can help to improve poor-responder women's ovarian reserve and the likelihood of fertility.
Exploring Complex MPLS VPN Applications: Models and Implementations for Modern Communication Demands
Authors: Hassan Emad S. , Abdelaal Ayman E. A. , Oshaba Ahmed S. , El-Emary Atef , Dessouky Moawad I. , El‑Samie Fathi E. Abd 
Published: September 2023

Abstract
In the modern landscape, robust data communication is pivotal for businesses and lifestyles. This has led to intricate demands from enterprise customers for sophisticated communication solutions. As a response, MPLS (Multiprotocol Label Switching) technology is being leveraged to meet these complex connectivity needs. This paper undertakes a comprehensive exploration of intricate MPLS- Virtual Private Networks (VPN) applications. The study entails both in-depth analysis and practical application on an operational network to validate its efficacy. The research primarily delves into diverse models of complex Layer 3 VPNs over MPLS. It commences by elucidating the foundational concept of a simple VPN and subsequently navigates through various designs for deploying Layer-3 VPNs on MPLS networks. MPLS technology has expanded the horizons of VPN services, catering precisely to contemporary business and customer requirements. Beyond conventional peer-to-peer private communication, the technology facilitates sophisticated iterations like managed service VPNs and overlapping VPNs. This paper systematically navigates these intricacies, offering comprehensive insights into their mechanisms and operational feasibility.
Information Security and Privacy Challenges of Cloud Computing for Government Adoption: A Systematic Review
Authors: Ukeje Ndukwe , Gutierrez Jairo , Petrova Krassie 
Published: September 2023

Abstract
The advent of new technologies and applications coupled with the COVID-19 pandemic tremendously increased cloud computing adoption in private and public institutions (government) and raised the demand for communication and access to a shared pool of resources and storage capabilities. Governments across the globe are moving to the cloud to improve services, reduce costs, and increase effectiveness and efficiency while fostering innovation and citizen engagement. However, information security and privacy concerns raised in the past remain significant to government adoption and utilisation of cloud computing. The study conducts a systematic literature review (SLR) using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to examine information security and privacy as the fundamental challenges to government intention to adopt cloud computing.
This study screened 758 articles and included 33 articles that revealed information security and privacy as critical factors and barriers to adopting cloud computing through a systematic evaluation (PRISMA approach). The combined two factors contributed 70% of the significant gaps to the cloud computing adoption challenges. In contrast, the individual contribution of information security and privacy as a significant gap to the challenges of cloud adoption yielded 9% and 12%, respectively. Furthermore, 9% of the authors recognised the need for a framework to address the challenges but could not attempt to develop the framework. The study contributes to the information security body of knowledge, PRISMA studies and provides direction in proposing strategies and frameworks to tackle information security and privacy challenges as future research.
Intergenerational transfer of parental DNA methylation to their newborns?
Authors: Jiang Yu , Zhang Hongmei , Chen Su , Ewart Susan , Holloway John , Arshad Hasan , Karmaus Wilfred 
Published: September 2023

Abstract

Early patterning of DNA methylation (DNAm) may play an important role in later disease development. To better understand intergenerational epigenetic inheritance, we investigated the correlation between DNAm in blood in mother-newborn and in father-newborn pairs in the Isle of Wight (IoW) birth cohort. For parent-newborn pairs (n = 48), offspring DNAm was measured in cord blood and parent’s DNAm in whole blood. Mothers’ DNAm was analyzed at birth (Guthrie card), age 18, early and late pregnancy respectively, and father’s DNAm was measured during mother’s pregnancy. Linear regressions, with cell type compositions included as confounders, were applied to assess the intergenerational correlation of parental DNAm with that of offspring. Of the 338,526 CpGs studied, after controlling a false discovery rate of 0.05, among all the different stages of mother-newborn and father-newborn pairs, mother-newborn pairs with mothers’ DNAm measured at age 18 years showed the largest number of CpGs, 1829 (0.54%) in total, with intergenerational correlation in DNAm. Among the 1829 CpGs, 986 (54%) are known quantitative trait loci (QTL) for CpG methylation (methQTL). When mother’s DNAm was assessed at early pregnancy, the number of CpGs showing intergenerational correlation was the smallest (384 CpGs, 0.11%). The second smallest number of such CpGs (559 CpGs, 0.17%) were found when investigating DNAm in offspring cord blood and father pairs. The low proportions of intergenerationally correlated CpGs suggest that epigenetic inheritance is limited.
The influence of gender on the epidemiology of and outcome from sepsis associated acute kidney injury in ICU: a retrospective propensity-matched cohort study
Authors: jiang Wei , Song Lin , Zhang Yaosheng , ba Jingjing , Yuan jing , Li xianghui , Liao Ting , Zhang Chuanqing , Shao Jun , Yu Jiangquan , Zheng Ruiqiang 
Published: September 2023

Abstract
Purposes
The influence of gender on the epidemiology of and outcome from SA-AKI in ICU has not been fully clarified. Our aim is to elucidate these differences.
Methods
This study included adult patients with sepsis in MIMIC IV (V 2.2), and propensity matching analysis, cox regression and logistic regression were used to analyze gender differences in incidence, mortality and organ support rate.
Results
Of the 24,467 patients included in the cohort, 18,128 were retained after propensity score matching. In the matched cohort, the incidence of SA-AKI in males is higher than that in females (58.6% vs. 56.2%;P = 0.001).males were associated with a higher risk of SA-AKI (OR:1.10(1.04–1.17),P < 0.001;adjusted OR:1.13(1.06–1.20),P < 0.001).In SA-AKI patients, males were associated with a lower risk of ICU mortality(HR:0.873(0.754–0.933),P = 0.001;adjusted HR:0.861(0.764–0.948),P = 0.003) and in-hospital mortality(HR: 0.840(0.767–0.920),P < 0.001;adjusted HR:0.883(0.760–0.912),P < 0.001).there were no statistically significant differences between male and female patients in one-year all-cause mortality (36.9% vs. 35.8%,P = 0.243), kidney replacement therapy rate (7.9% vs.7.5%,P = 0.459), mechanical ventilation rate 55.5% vs. 55.3%,P = 0.384), and usage of vasoactive drugs (53.9% vs. 57.6%,P = 0.905).
Conclusions
Gender may affect the incidence and outcomes of SA-AKI,further research is needed to fully understand the impact of gender on SA-AKI patients.