bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insomnia is associated with reduced quality of life in inflammatory bowel disease
Authors: Barnes Alex , Bryant Robert , Mukherjee Sutapa , Spizzo Paul , Mountifield Réme 
Published: January 2024

Abstract
Quality of life is reduced in people with inflammatory bowel disease and poor sleep is prevalent in people with inflammatory bowel disease. This study aimed to investigate the influence of sleep on quality of life in people with inflammatory bowel disease.
Methods
An online questionnaire was administered through three tertiary IBD centres, social media and through Crohn’s Colitis Australia. The questionnaire included the EQ-5D-5L measures of health-related quality life of, the insomnia severity index (ISI), the Pittsburgh sleep quality index (PSQI). IBD activity was assessed using validated patient reported scores. Demographic data and mental health scores were also obtained.
Results
Quality of life was lower in people with IBD than the general South Australian population. Poor sleep and clinically significant insomnia were associated with lower quality of life (EQVAS, and utility score) and moderately correlated with the domains of pain, usual activities and depression-anxiety. After adjusting for demographic variables, IBD anxiety, depression and anxiety, the pain domain continued to be influenced by sleep quality, sleep disturbance and sleep duration, and the usual activities domain continued to be influenced by daytime dysfunction. Insomnia resulted in a reduction in quality of life (EQVAS, utility score) independent of IBD activity and of a similar magnitude to that seen with IBD activity.
Conclusion
Health related quality of life in IBD is influenced by aspects of sleep quality irrespective of IBD activity and mental health conditions. The presence of insomnia is associated with a significant reduction in health-related quality of life. Consideration should be given to sleep targeting interventional studies in an IBD population.
Encryption and decryption algorithm with the ability of different computing layers to send and receive data in the network (Encryption Decryption Multi-Layer Algorithm)
Authors: Bukani Ahmad Karami 
Published: January 2024

Abstract
Encryption Decryption Multi-Layer algorithm is in the form of several layers and each layer performs a specific action, in total, this algorithm has eight layers, four layers are for encryption and four layers are for decryption, and these layers guarantee that the best The method of encryption and decryption of very important data.
Clinical and immunological characterization of IgG subclass deficiency reveals that low levels of pneumococcal antibodies associate with need of immunoglobulin replacement therapy
Authors: Wågström Per , Hjorth Maria , Appelgren Daniel , Björkander Janne , Dahle Charlotte , Nilsson Mats , Nilsdotter-Augustinsson Åsa , Skattum Lillemor , Ernerudh Jan , Nyström Sofia 
Published: January 2024

Abstract
Immunoglobulin G subclass deficiencies (IgGsd) comprise a wide clinical spectrum from no symptoms to repeated respiratory infections and risk for the development of lung damage. In Sweden, immunoglobulin replacement therapy (IgRT) is considered in IgGsd patients with a high burden of infections. Our aims were to characterize immunological parameters in IgGsd on and off IgRT, and to identify factors that can predict the need of IgRT in IgGsd. Thirty-five patients with IgGsd were included in this prospective study and followed up to 36 months, when on and off IgRT. We analyzed possible associations between need of continuous IgRT and levels of immunoglobulins, IgG-subclasses, 21 serotype-specific pneumococcal antibodies, complement function and other factors that may predispose for a severe clinical course or increased exposure to airway pathogens. In-depth lymphocyte phenotyping was performed when on and off IgRT and compared to 34 healthy controls. Seventeen of the patients needed continuous IgRT. The prevalence of protective levels of serotype-specific antibodies was lower in IgGsd with need of IgRT. T cell and B cell subsets were similar irrespective of the need of IgRT. A combination of factors including age, autoimmunity, lung disease, fatigue, and a profession associated with increased risk of infections could predict the need of IgRT. In conclusion comorbidities due to dysregulated immunsystem in combination with low IgG subclass levels and presence of low levels of serotype specific IgGs, have a higher impact on the need of IgRT than aberrations in T cell and B cell subsets.
When organizational models influence the intention to leave of professionals. The case of Family and Community Nurses in the Tuscan healthcare system
Authors: barchielli chiara , vainieri milena , taddeucci lorenzo 
Published: January 2024

Abstract
Background
To describe Nurses’ Intention to Leave (ITL) their job across Tuscany -Italy- after a major healthcare structural policy redesign of the community organizational care delivery model, namely the Family and Community Nurse (FCN) model.
Methods
In this organizational case study, we evaluate the differences in the effects on Nurses’ ITL through the comparison between non-FCNs and FCN’s answers to the region-wide administered Organizational Climate Survey (OCS) conducted in 2023, after the model’s implementation.
Results
A general decrease in all ITL dimensions was registered, indicating, therefore, a higher FCNs’ intention to stay. There are variations in the answers from Nurses working in different Local Health Authorities (LHAs), and it is due to the uniqueness of organizations and to the dissimilar levels of maturity of the organizational models within them.
Conclusions
The effects of structural policy redesign on Nurses’ ITL highlight the importance of tailored, region-specific approaches to improve Nurses’ retention in the healthcare sector, which is currently experimenting the worst Nursing shortage crisis ever.
Optimal depth for left atrial pressure monitoring in pediatric open-heart surgery
Authors: Zhang Shuiting , Chen Xiaofeng , Wu Zhongshi , Li Hui , Dai Ruping , Zhang Yanling 
Published: January 2024

Abstract
Background
Monitoring the left atrial pressure (LAP) is an important perioperative management tool for maintaining adequate cardiac output. This study aimed to devise a simple formula of left atrial catheterization to quantify the LAP in infants based on strongly correlated demographic and clinical characteristics.
Methods
62 open-heart surgery infant patients, aged ≤ 1 year, who underwent right internal jugular vein (RIJV) catheterization to monitor the LAP, were enrolled in this study. Pearson correlation coefficient and multiple regression analysis were used to determine the association between the optimal depth and characteristics. A new simple formula was developed using regression analysis to predict the depth for the LAP measurement.
Results
The participants comprised 39 (62.9%) males and 23 (37.1%) females, of which 10 (16.1%) were preterm. The average age was 4.3 months; average weight, 5.4 kg; and average height, 60.0 cm. Age, height, and weight were strongly associated with the optimal depth, with height having the highest corrected determination coefficient (R2 = 0.832) and the most significant difference in multiple regression model (P < 0.001). Thus, we established a new height-based formula: depth (cm) = 5 + 0.1 × height (cm). The proportion of optimal depth determined by the new simplified formula was 88.7%.
Conclusions
Height was the most significant individual predictor of optimal depth in this study. The novel formula, depth = 5.0 + 0.1 × height (cm), is feasible and can be used to determine the optimal depth for monitoring the LAP via RIJV catheterization in pediatric open-heart surgery.
Using an Enhanced Recovery After Surgery (ERAS) guided Multimodal Pathway to Reduce Opioid Consumption in Lumbar Spine Surgery
Authors: Brown La Donna , Ardisson Michelle 
Published: January 2024

Abstract

Background: Spinal pathologies are increasingly prevalent among the aging population in the United States, leading to back pain as a common reason for adults seeking emergency care and necessitating surgical interventions. Lumbar and spinal fusions have been associated with high rates of opioid use, contributing to the opioid public health crisis. Enhanced Recovery After Surgery (ERAS) protocols have successfully reduced complications and hospital length of stay (LOS) across various surgical specialties, but their potential in spine surgery remains unexplored. The primary aim of this quality improvement project was to assess the impact of an ERAS multimodal pathway on opioid consumption rates in patients undergoing lumbar spine surgery.
Methods: Patients undergoing lumbar spine surgery were included between August 30 and September 30, 2017 (PRE-ERAS Group n=12) and August 30 and September 30, 2018 (POST-ERAS Group n=13). Before the implementation of ERAS, there was no consistent use of multimodal pain modalities. The new ERAS multimodal pathway included non-opioid medications such as Acetaminophen, NSAIDs, gabapentinoids, and local anesthetics. Data were collected from electronic medical records, including demographics, intraoperative opioids, PACU LOS, pain scores, and opioid consumption in the recovery room until discharge.
Results: Implementing an ERAS multimodal pathway was associated with significantly lower postoperative pain scores (p = .003) and a trend towards decreased patient opioid administration dosages(p=.22). Post-operative nausea and vomiting (PONV) scores were zero in both PRE- and POST-ERAS groups, while postoperative LOS increased (p=.02) in the POST-ERAS group.
Conclusion: Implementing an ERAS multimodal pathway is associated with improved pain scores and may reduce opioid consumption in elective lumbar spine surgery.
Systemic cytokines and risk of periodontitis: A two-sample Mendelian randomization study
Authors: Wang Zheqin , Wang Shengnan , Zhang Jinming , Hu Min 
Published: January 2024

Abstract
Background: This study aims to investigate the bidirectional causal relationship between systemic cytokines and periodontitis.
Methods: We conducted a bidirectional two-sample Mendelian randomization study of the relationship between systemic cytokines and periodontitis using inverse variance weighted, weighted median and MR-Egger regression. The genome-wide association study data included information on 41 cytokines in 8293 individuals and periodontitis in 456,348individuals.
Results: Increased systemic granulocyte colony-stimulating factor (G-CSF) levels were found to be a risk factor for periodontitis (Odds ratio =1.564, 95% confidence interval = 1.137-2.150, P = 0.006). Heterogeneity and horizontal pleiotropy were not detected.
Conclusions: Our findings suggest that G-CSF may have an essential role in the progression of periodontitis.
Combination of mutations in genes controlling DNA repair and high mutational load plays a prognostic role in pancreatic ductal adenocarcinoma (PDAC): a retrospective real-life study in Sardinian population
Authors: Sini MariaCristina , Doro MariaGrazia , Frogheri Laura , Zinellu Angelo , Paliogiannis Panagiotis , Porcu Alberto , Scognamillo Fabrizio , Delogu Daniele , Santeufemia Davide Adriano , Persico Ivana , Palomba Grazia , Maestrale GiovanniBattista , Cossu Antonio , Palmieri Giuseppe 
Published: January 2024

Abstract
Background
Patients with pancreatic ductal adenocarcinoma (PDCA) carrying impaired mismatch repair mechanisms seem to have an outcome advantage under treatment with conventional chemotherapy, whereas the role for the tumor mutation burden on prognosis is controversial. In this study, we evaluated the prognostic role of the mutated genes involved in genome damage repair in a real-life series of PDAC patients in a hospital-based manner from the main Institution deputed to surgically treat such a disease in North Sardinia.
Methods
A cohort of fifty-five consecutive PDAC patients with potentially resectable/border line resectable PDAC (stage IIB-III) or oligometastatic disease (stage IV) and tumor tissue availability underwent next-generation sequencing (NGS)-based analysis using a panel containing driver oncogenes and tumor suppressor genes as well as genes controlling DNA repair mechanisms.
Results
Genes involved in the both genome damage repair (DR) and DNA mismatch repair (MMR) were found mutated in 17 (31%) and 15 (27%) cases, respectively. One fourth of PDAC cases (14/55; 25.5%) carried tumors presenting a combination of mutations in repair genes (DR and MMR) and the highest mutation load rates (MLR-H). After correction for confounders (surgery, adjuvant therapy, stage T, and metastasis), multivariate Cox regression analysis indicated that mutations in DR genes (HR = 3.0126, 95% CI 1.0707 to 8.4764, p = 0.0367) and the MLR (HR = 1.0018, 95%CI 1.0005 to 1.0032, p = 0.009) were significantly related to worse survival.
Conclusions
The combination of mutated repair genes and MLR-H, which is associated with a worse survival in our series of PDAC patients treated with conventional chemotherapy protocols, might become a predictive biomarker of response to immunotherapy in addition to its prognostic role in predicting survival.
Co-treatment with atorvastatin and bevacizumab improved antitumor efficacy and biochemical status in lung cancer in vivo
Authors: El-Said Karim S. , Attia Merna S. , Salim Elsayed I. 
Published: January 2024

Abstract
Lung cancer is one of the most common cancers worldwide. Atorvastatin (ATOR), an anti-cholesterol drug, was shown recently to employ a probable effect against lung cancer. Bevacizumab, a vascular endothelial growth factor (VEGF) monoclonal antibody antagonist, is a known lung cancer remedy. This study aimed to address the effects of co-treatment of ATOR and bevacizumab against mouse lung cancer. Male mice were divided into 5 groups. Group 1 (G1), was used as a normal control. Groups 2-5 were administered with urethane (Ure) (1mg/g) and butylated hydroxy-toluene (BHT) (150 or 200 mg/kg) for lung cancer initiation and promotion respectively. G2 was a carcinogen-only control. G3 was post-treated with 10 mg/kg ATOR. G4 was treated with 5 mg/kg bevacizumab. G5 was co-treated with ATOR and bevacizumab. Co-treatment with ATOR and bevacizumab significantly decreased the tumor incidences, multiplicities, and sizes as compared with each treatment alone. Also, the combination treatment has reduced the immunohistochemical proliferating cell nuclear antigen labeling indexes (PCNA LI%) in lung parenchyma and tumors. Further, the treatment with ATOR/bevacizumab has significantly caused a G0/1 cell cycle arrest, induced apoptosis in cells and tumors, and ameliorated the antioxidative stress parameters in lung tissues. Furthermore, co-treatment with ATOR/bevacizumab has shown upregulation of mitogen-activated protein kinase (MAPK) and downregulation of Heme oxygenase (HMOX1), nitric oxide synthase 2 (NOS2), and VEGF genes. Collectively, ATOR co-treatment has significantly improved bevacizumab's efficacy against lung cancer in mice, through induction of apoptosis, inhibition of cell proliferation, and causing G0/1 cell cycle arrest, without adverse side effects.
A novel meta-heuristic algorithm for high-dimensional problems: Rhinopithecus Swarm Optimization
Authors: Zhou Guoyuan , Wang Dong , Zhou Guoao , Du Jiaxuan , Guo Jia 
Published: January 2024

Abstract
This paper introduces a novel meta-heuristic algorithm know as Rhinopithe-cus Swarm Optimization (RSO) to deal with the high-dimensional problems. The RSO is inspired by the different social behaviors of different subgroups in the rhinopithecus swarm. This algorithm categorizes the population into king, matures, adolescences and infancy based on fitness values before each iteration. At iterations they are given different search methods including vertical migration , concerted search and mimicry due to their social division of labor. The experiment was independently conducted 36 times on the highest dimension recommended by CEC2017. The results show that comprehensive performance of RSO is higher than 8 well-known meta-heuristic algorithms including DBO, BWO, SSA, AVOA, WOA, ARBBPSO, GTO, and HHO. RSO ranked first in the CEC2017 with a score of 1.655 on 29 benchmark functions using Ferideman test, which is 42.8% better than the second-ranked algorithm SSA. Overall, it 1 is concluded that RSO outperforms well-known algorithms and can better solve high-dimensional optimization problems
Hybrid Energy Storage Configuration of Wind Power Microgrid: A Strategy based on the EMD technique and Two-stage Robust Method
Authors: Yang Xiuyu , YE Xiaoyyu , Li Zhongzheng , Wang Xiaobin , Song Xinfu , Liao Mengke , Liu Xueyuan , Guo Qi 
Published: January 2024

Abstract
Data centers are usually characterized by high energy loads, which raises increasing sustainability concerns in both academic and daily usage. To mitigate the uncertainty and high volatility of distributed wind energy generation, this paper proposes a hybrid energy storage allocation strategy by means of the Empirical Mode Decomposition (EMD) technique and the two-stage robust method. First, this paper conducts the evolution analyses for the over- and under-evaluated uncertainty of wind power fluctuation under different time scales. Second, we employ the EMD technique to configure a high-frequency flywheel energy storage device, realizing the wind power transformation from large fluctuations to small fluctuations and the convergence of the wind power fluctuation curves in minute- and hour levels. Finally, based on the hour-level wind energy stable power curves, we carry out two-stage robust planning for the equipment capacity of low-frequency cold storage tanks and lithium bromide chillers. The case study on a data center microgrid in northeastern China confirms the effectiveness of our proposed strategy.
Exploratory analysis of suicidal tendency in depression investigation social media post
Authors: MOBIN MD IFTEKHARUL , MRIDHA MUHAMMAD FIROZ , MAHMUD S. M. HASAN 
Published: January 2024

Abstract
Depression and suicide are interconnected. A depressive condition influences the chance of suicide. Though, to what extent of depression level triggers suicidal attempt is a scrutiny. The traditional interview-based clinical diagnostic approach is not effective for predicting a depressed person’s psychiatric status. Since patients often prefer not to disclose their emotions, they are reluctant to seek help from psychotherapists or doctors. Social media’s footprint often sees people discussing things that are not disclosed publicly. Emotionally distressed people often disclose themselves, seek empathy, and reveal physiological states. Hence, it has become a valuable source of research for depression and suicidal behaviors. This study uses social media datasets for exploratory data analysis to estimate the degree of suicidal thoughts within a depressed person’s post. The objective is to determine if a depressed individual has a suicidal tendency, determine the degree of intensity, or do the opposite. This study presents an unsupervised feature analysis using the topic model approach followed by supervised classification to quantify significance. Latent suicidal intents,cross-topic co-occurrence patterns, and dominant high-impact keywords of suicide are revealed from unsupervised Latent Dirichlet Allocation (LDA) modeling. Furthermore, supervised machine learning classifier models are applied to determine the severity of suicide tendencies. To get the best results, cutting-edge text embedding vectorization techniques and machine learning estimators are applied. Statistical measurements depict the degree of suicide intensity within the depressed label post. From the analysis, it is revealed that suicidal tendency among people with depression is extremely high. The depressed person’s post showed 60% similarities in various categories of suicidal intensity.
A High-Sensitivity Cryogenic Radio Receiver: Design, Performance and Polarization Analysis
Authors: Mohammadian Babak , McCulloch Mark , Gilles Valerio , Amiri Shahram , Piccirillo Lucio 
Published: January 2024

Abstract
Large reflector antennas are subjected to testing for calibration accuracy and precision, ensuring signal reception sensitivity and consistent performance across an extended frequency range. In this paper, we introduce a cryogenic radio receiver which is placed on a 5.3 m reflector with a gain of 60.19 dB. This antenna serves as the reference antenna for holographic calibration measurements with the measured G/Tsys ~42 dB/K. The receiver provides a bandwidth of 2 GHz (21-23 GHz), the receiver's noise temperature is 19.55, and The polarization conversion yields an Axial Ratio (AR) of less than 1.3 dB.
Experimental study on unsteady aerodynamics of an oscillating three-dimensional prism in uniform and turbulent boundary layer flows using forced vibration technique
Authors: Fu Guoqiang , Quan Yong , Feng Chengdong , Gu Ming 
Published: January 2024

Abstract
Unsteady aerodynamic forces play a crucial role in phenomena such as vortex-induced vibration and galloping. However, the influence of turbulence on unsteady aerodynamics remains far from been fully understood. In this study, a series of forced vibration model and rigid model wind tunnel tests were conducted in both a uniform flow and three different turbulent boundary layer flows with varying turbulence conditions to investigate the unsteady aerodynamic forces of a slender three-dimensional prism. Turbulence effects on the along-wind and across-wind unsteady wind pressure, local and generalized aerodynamic force coefficients, Strouhal number, correlations and coherence functions of unsteady aerodynamic forces, and aeroelastic parameters were comparatively investigated, and the underlying mechanisms were further discussed. The results show remarkable differences in unsteady aerodynamics between the uniform and turbulent flows due to the complex coupling effects among the turbulence, vibration amplitude, and reduced wind speed. The vibration has a significant impact on the unsteady aerodynamics in the same direction. Additionally, along-wind vibration could influence across-wind unsteady aerodynamic forces, while across-wind vibration has minimal effects on along-wind aerodynamic forces. Increasing the amplitude of across-wind vibration significantly increases vertical correlation coefficients within the lock-in region but notably reduces the separation length, weakening horizontal correlation coefficients on the sideward face. Nonetheless, the unsteady aerodynamics are mainly determined by the quasi-steady states beyond the lock-in region, and the influence of vibration is generally negligible. As turbulence intensity increases, the power spectra densities of across-wind aerodynamic forces become wider, and the across-wind aerodynamic force coefficients and aeroelastic parameters exhibit more moderate variations with reduced wind speeds. Both the vertical and horizontal correlation coefficients decrease noticeably at a high level of turbulence intensity, and the end effect and the formation of nonlinear aerodynamics are also suppressed. The Strouhal number of the three-dimensional oscillating prism is little affected by turbulence. However, the lock-in region is extended in turbulent flows compared to uniform flow.