bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Association of Vitamin D Deficiency, Age and Depression in US Adults: A Cross-Sectional Analysis
Authors: Mo Hongfei , Zhang Jipeng , Huo Chiwei , Zhang Mengying , Xiao Jiang , Peng Junge , Wang Guirong , Li Yan 
Published: December 2022

Abstract
Background
Depression is an important public health burden, vitamin D deficiency is associated with mood disorders. The risk of depression may increase with increasing age. Serum vitamin D levels and age are closely related.
Objective
This study is to investigate the association between vitamin D deficiency, age, and depression in a representative sample of US adults and the combined effect of vitamin D deficiency and aging on depression.
Materials and Methods
We extracted data from NHANES 2013–2018, including demographic characteristics, depression level, vitamin D level, physical activity, and body measures. Depression was screened by PHQ-9. Vitamin D was measured using the CDC method (test principle utilizing high performance liquid chromatography-tandem mass spectrometry to quantify 25OHD3, epi-25OHD3 and 25OHD2 in human serum). We performed binary logistic regression models to analyze the association between vitamin D, age and depression, respectively.
Results
A total of 15156 adults aged 20 years or older (mean age 49.81 ± 17.67 years, 7301 males and 7855 females) were included. Vitamin D levels were negatively associated with depression (P < 0.001). Vitamin D had a significant effect on depression (OR = 0.776, 95%Cl: 0.682–0.884, P < 0.001), the effect remained significant after adjusted for confounding variables (OR = 0.761, 95%Cl: 0.663–0.874, P < 0.001). Age was positively associated with depression (P < 0.001) and had a significant effect on depression (OR = 1.079, 95%Cl: 1.032–1.128, P = 0.001), the effect remained significant after adjusted for confounding variables (OR = 1.085, 95%Cl: 1.034–1.138, P = 0.001). Age and vitamin D levels were positively correlated (P < 0.001), and aging had a significant effect on vitamin D level (OR = 1.526, 95%Cl: 1.416–1.645, P < 0.001), the effect remained significant after adjusted for confounding variables (OR = 1.371, 95%Cl: 1.263–1.487, P < 0.001). In addition, the detection rate of depression was higher in females (2312/7855, 29.43%) than in males (1571/7301, 21.52%), and the difference was statistically significant (P < 0.001).
Conclusions
Vitamin D deficiency is a risk factor for depression; aging is a protective factor for vitamin D deficiency; Vitamin D and age synergetically affect the incident risk of depression: younger populations are more likely to present an increased risk of depression due to vitamin D deficiency; elderly females who are unmarried and living alone are the highest risk group for depression.
Fluorescence lifetime as a universal marker of solid tumors following injection of indocyanine green: First-in-human results
Authors: Pal Rahul , Lwin Thinzar , Chan Corey , Krishnamoorthy Murali , Collins Hannah , Shukla Shriya , Kendall Amy , Carp Stefan , Nasrallah MacLean , Prilutskiy Andrey , Hung Yin , Alvarez Maria , Zukerberg Lawrence , Sadow Peter , Faquin William , Marshall Michael , Nahed Brian , Feng Allen , Emerick Kevin , Lee John , Rankin Kenneth , Lozano-Calderon Santiago , Tanabe Kenneth , Varvares Mark , Kumar Anand 
Published: December 2022

Abstract
The ability to precisely label and visualize tumors in tissues can improve the accuracy of surgical resections compared to standard of care, which relies on visual inspection and palpation. While fluorescence intensity-based imaging is being evaluated for surgical guidance, variable tumor uptake and incomplete clearance of fluorescent probes reduces tumor vs. normal classification accuracy. Here we demonstrate that the fluorescence lifetime (FLT) of multiple types of solid tumors is longer than the FLT of healthy tissues in patients systemically injected with indocyanine green (ICG), an FDA approved near infrared dye. We show that this cancer-specific lifetime shift can distinguish tumor from normal tissue both at a cellular level using microscopy and in large specimens using wide-field imaging, with an accuracy of over 97% across multiple patients. Unlike intensity, which is a system-specific parameter that depends on tumor dye uptake and depth in tissue, FLT is a system-independent photophysical property that can be quantified in thick tissues. Our study suggests that FLT imaging with ICG can be immediately used to improve the accuracy of cancer surgeries.
Suicidal Behaviours among School-Going Adolescents in Saint Lucia: Prevalence, Risks and Protective Factors
Authors: Sarfo Jacob Owusu , Obeng Paul , Gbordzoe Newton Isaac , Amoadu Mustapha , Ofori Crescens Osei Bonsu , Debrah Timothy Pritchard 
Published: December 2022

Abstract
Background
Suicide poses a debilitating threat to various aspects of adolescents’ lives worldwide. Although suicide prevention efforts are evident globally through the upsurge of literature on this subject matter, there is limited evidence on the prevalence and correlates of suicidal behaviours among school-going adolescents in Saint Lucia.
Methods
Authors data set from the Global School-based Student Health Survey to examine the prevalence, predisposing and protective factors of suicidal behaviours among 1,864 students from schools in Saint Lucia.
Results
We found a prevalence of 25.5%, 22.1%, and 17.5% for suicidal ideation, suicidal plan and suicidal attempt, respectively. After adjusting for other factors, we found that being a male and having understanding parents were protective of suicidal behaviours. However, suicidal ideation was predicted by being physically attacked, bullied, parental/guidance tobacco use, loneliness, and worrying. Also, being a victim of physical attack and bullying, having close friends, being lonely, and worrying were predictive of making suicidal plans among adolescents. The risk of attempting suicide was predicted by cigarette smoking, current use of tobacco and related products, bullying, having close friends, being lonely, and worrying.
Conclusion
The findings of this study posit the need for school-based interventions to help address triggers of suicidal behaviours among adolescents in Saint Lucia to attain the global Sustainable Development Goals targets of suicide prevention.
Analysis of risk factors leading to multiloculated breast abscesses during lactation
Authors: Ding Song-tao , Gao Ya-jun , Zhang Yi , He Xiang-ping 
Published: December 2022

Abstract
Few studies on the factors associated with multiloculated breast abscesses during lactation have been performed. We collected data on 1805 patients with breast abscesses during lactation, who were divided into single-cavity breast abscess (N = 1298) and multiloculated breast abscess groups (N = 507). Fifteen variables were compared between the groups. The results showed significant differences between the two groups in (1) whether in the puerperium, (2) separated from the baby > 12 h in the last week, (3) exclusively breastfeeding or not in the last 2 weeks, (4) inverted nipple on the affected side or not, (5) history of fever or not, (6) breast skin redness and swelling on the affected side or not, (7) nipple pain or not in the last 2 weeks, and (8) whether the breasts had been massaged by non-medical staff in the last month, with (1), (5), (6), and (8) being independent risk factors. Patients in the puerperium, separated from the baby, not exclusively breastfeeding, having an inverted nipple on the affected side, accompanied by fever, with breast skin redness and swelling on the affected side, nipple pain, and having undergone a breast massage by non-medical staff are more likely to develop multiloculated breast abscesses.
Research on the fatty acid metabolism gene FN1 and establishment of a model to guide immunotherapy of bladder cancer
Authors: Bai Kexin , Song Qiang , Zhou Zhengdong , Bai Jinming , Liu Ning 
Published: December 2022

Abstract
Background
Fatty acid metabolism plays an important role in many biological activities, such as cell membrane formation, energy storage, and signal molecule generation in tumorigenesis. Lipid metabolism affects the progression and treatment of bladder cancer (BLCA). Therefore, it is imperative to explore the function and prognostic value of lipid metabolism-related genes in BLCA patients.
Methods
In this study, we collected gene expression profiles and clinical information in The Cancer Genome Map (TCGA) database and two independent Group on Earth Observations (GEO) datasets. Gene interaction information was obtained from ENCORI database. Based on these databases, the expression patterns of genes and proteins involved in fatty acid metabolism and their matched clinicopathological characteristics were analyzed. In addition, we conducted a series of experiments to verify the relevant findings.
Results
A total of 310 fatty acid metabolism-related mRNA were found in TCGA, 91 of which were differentially expressed in BLCA patients. According to the correlation between DGEs and patients’ characteristics, we established a clinical prognosis related model and verified the accuracy of the model according to the information of GEO database. Survival analysis based on TCGA database showed that among the top 10 differentially expressed genes (DEGs), the expression of FN1 was statistically significant for the survival of BLCA patients. In addition, clinical correlation analysis showed that the increase of FN1 level was highly related to the stage, grade, and infiltration of immune cells in BLCA. Finally, our experimental results are consistent with bioinformatics analysis.
Conclusion
The fatty acid metabolism gene FN1 is closely related to the prognosis of BLCA patients and plays an important role in the occurrence, development, and immune response of BLCA. Further research will make it a powerful prognostic marker and therapeutic target for BLCA.
Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis
Authors: Park Changhyun , Jung Wonsik , Suk Heung-Il 
Published: December 2022

Abstract
The identification of Alzheimer's disease (AD) using structural magnetic resonance imaging (sMRI) has been studied based on the subtle morphological changes in the brain. One of the typical approaches is a deep learning-based patch-level feature representation. For this approach, however, the predetermined patches before learning the diagnostic model can limit classification performance. To mitigate this problem, we propose the BrainBagNet with a position-based gate (PG), which applies position information of brain images represented through the 3D coordinates. Our proposed method represents the patch-level class evidence based on both MR scan and position information for image-level prediction. To validate our proposed method, we conducted experiments comparing our methods with state-of-the-art methods and evaluating the robust performances of two publicly available datasets: 1) ADNI and 2) AIBL. Furthermore, our proposed method outperformed classification performance in both AD diagnosis and mild cognitive impairment conversion prediction tasks over the comparative methods and analyzed our results from diverse perspectives. Based on our experimental results, we believe that the proposed method has the potential to provide new insights and perspectives in deep-learning based patch-level feature representation studies. Code is available at: github.com/ku-milab/PG-BrainBagNet.
The Effects of Large Roughness Elements on the In-stream Transport and Retention of Polystyrene Microplastics
Authors: Ijaz Usama , Baki Abul B.M. , Abdul-Aziz Omar I. , Zhang Wenming , Christian Alan D. 
Published: December 2022

Abstract
The dominant mechanisms controlling the concentration and transport of microplastics (MPs) in riverine systems are not fully understood yet. Polystyrene (PS) is a highly abundant MP in streams and rivers. This study investigated the impact of large roughness elements (LREs) on in-stream transport and retention patterns of polystyrene-microplastics (PS-MPs). Experiments were conducted with and without LREs under a range of shear Reynolds numbers (𝑅𝑒∗) in an eco-hydraulics flume. We found a clear dependence of MPs’ velocity on 𝑅𝑒∗ in LREs-dominated channel. The results also revealed that the LREs-generated turbulence kinetic energy (TKE) can be a good predictor of PS-MPs transport and retention rate. This indicates the effectiveness of TKE in retaining PS-MPs as they travel through streams and rivers. The presence of LREs increases the PS-MPs capture and decreases their velocity of transport. This suggests that PS-MPs retention can be increased by increasing the LRE density in reverine systems.
A case of unilateral development of subacute thyroiditis used as a hallmark of the nervous nature of its pathogenesis
Authors: Ushakov Andrey V. 
Published: December 2022

Abstract

Despite the prevailing view that the factors underlying the development of subacute thyroiditis (ST) have an infectious origin, its viral and bacterial pathogeneses remain unclear. Moreover, the hypothesis of genetic predisposition to ST is nonabsolute. In previous studies, approximately 24%-40% patients with ST manifested unilateral thyroid disease; however, the assessment of the pathogenesis of ST did not consider this fact. Nevertheless, the involvement of the nervous system in the inflammatory process and the possibility that unilateral nerve conduction affects only one of the thyroid lobes, as demonstrated in the present case, indicate that the autonomic nervous system plays a leading role in ST development.
An Improved Monarch Butterflfly Spectrum Allocation Algorithm for Multi-Source Data Stream in Complex Electromagnetic Environment
Authors: Liu Yuchao , Cao Chenggang , Han Yu 
Published: December 2022

Abstract
In the era of the Internet of Everything, various wireless devices and sensors use spectrum, which is a precious and non-renewable resource, to communication. Due to the characteristics of massive, heterogeneous, and multi-source, the generated multi-source data stream brings diffiffifficulties to spectrum cognition. As a result, unreasonable spectrum allocation strategy leads to low utilization of spectrum resources. Optimizing spectrum allocation strategy can effffectively improve spectrum utilization. Aiming at the problem of trapped local optimum solution in the genetic algorithm(GA) and particle swarm optimization algorithm(PSO), an improved monarch butterflfly algorithm is proposed. Firstly,this paper employs the simulated annealing algorithm to select the migration rate, which increases the diversity of monarch butterflfly population. Secondly, chaos mapping algorithm is utilized to improve the optimization ability and convergence speed. Finally, for the non-renewal mechanism of monarch butterflfly algorithrm, the wandering behavior of wolf pack algorithm is introduced to update the population and improve the population diversity. The experimental results show that the improved monarch butterflfly algorithm outperforms the other two algorithms in terms of convergence speed and system revenue.
Current vehicle emission standards will not mitigate climate change or improve air quality
Authors: Law Andrew Jiaxuan , Martinez-Botas Ricardo , Blythe Phil 
Published: December 2022

Abstract
The vehicle emissions testing programme was conducted by the UK Department of Transport in 2016 in response to emissions tampering exposed in the Volkswagen (VW) emissions scandal. The programme identified large emissions discrepancies between real-world and in-lab testing across a range of Euro 5 and Euro 6 diesel passenger vehicles. The large vehicle test fleet reflects the current challenges faced in controlling vehicle emissions. This paper presents the following findings: NOx emissions are potentially altered due to exhaust gas recirculation mismanagement. A new Real-Life Emissions methodology is introduced to improve upon the current Real Driving Emissions standard. A large and concerning emissions divergence was discovered between the achieved NOx improvement and deterioration of CO2. The findings act as catalysts to improve vehicle emissions testing beyond standards established since the VW scandal, aiding in the development of better climate change mitigation strategies and bring tangible air quality improvements to the environment.
Computational methods of EEG signals analysis for Alzheimer's disease classification
Authors: Vicchietti Mário Lucas , Ramos Fernando Manuel , Betting Luiz Eduardo , Campanharo Andriana Susana Lopes de Oliveira 
Published: December 2022

Abstract
Alzheimer's disease (AD) is a progressive neurological illness that causes neuron cells degeneration, resulting in cognitive impairment, which includes loss of memory and space-time perception. While there is no cure for AD, early diagnosis is critical to improving the management and helping in the selection of new therapies, which leads to a better quality of life for the affected individuals, their relatives and caregivers. EEG is a non-invasive technique that can be employed in the investigation of AD, and computational analysis of EEG signals has revealed promising results in detecting AD. In this sense, the main goal of this article is to apply different computational methods to detect AD in order to compare them in terms of distinguishing AD patients from healthy elderly subjects and in terms of computational cost.
Application of a Smart Pilot Electrochemical Systems for Recycling Aquaculture Seawater
Authors: Shen Yaqin , Chen Chen , Li Pengquan , Huang Xianfeng , Li Yubao 
Published: December 2022

Abstract
The energy cost and the harm of the residual chlorine by-produced in the electrochemical processes are main hinders for the extensive use of the electrochemical recirculating aquaculture systems (ERAS). The present study conducted shrimp-culture experiments using pilot electrochemical systems to investigate the effects of current density, geometric feature, timing, and other parameters on the effective control of inorganic nitrogen, pathogens, and residual chlorine in aquaculture water. The 50-L electrochemical batch reactor, which featured 154 cm2 (area) of Ti-RuO2 / Ti electrodes and 66 mA/cm2 of current density, eliminated inorganic nitrogen and Vibrio in rearing seawater collected from a shrimp farm with an initial ammonia concentration of 1.2–4.0 mg/L in 5 min. Air strippings were used to resolve residual chlorine derived from electrooxidation, finding hypochlorous acid decreased from 5.0 mg/L initially to 2.5 mg/L in 2 h of continuous of air aeration to the batch reactor. In the experiments of shrimp culture, The ERAS equipped with a 50-L batch reactor and 500-L shrimp tank effectively keep the inorganic nitrogen concentration in rearing water as required when applying 4.3 g of nitrogen loads transformed from a daily quota of commercial prawn feeds. By precisely controlling the times of intermittent processes of electrooxidation and air stripping, an electrochemical recirculating aquaculture system can achieve both the removal of inorganic nitrogen and residual chlorine, disinfection and reduction of energy cost.
Beta variant COVID-19 protein booster vaccines elicit durable cross-neutralization against SARS-CoV-2 variants of concern in non-human primates
Authors: Pavot Vincent , Berry Catherine , Kishko Michael , Anosova Natalie , Li Lu , Tibbitts Tim , Raillard Alice , Gautheron Sylviane , Gutzeit Cindy , Koutsoukos Marguerite , Chicz Roman , Lecouturier Valerie 
Published: December 2022

Abstract
Rapid spread of the SARS-CoV-2 Omicron subvariants despite the implementation of booster vaccination has raised questions about the durability of protection conferred by current vaccines. Vaccines that can induce broader and more durable immune responses against SARS-CoV-2 post-booster are urgently needed. We recently reported that our Beta-containing protein-based SARS-CoV-2 spike booster vaccine candidates with AS03 adjuvant (CoV2 preS dTM-AS03) elicited robust cross-neutralizing antibody responses up to 3 months in macaques primed with mRNA or protein-based subunit vaccine candidates. Here we demonstrate that the AS03-adjuvanted Beta-containing vaccine formulations induce durable cross-neutralizing antibody responses against Omicron (BA.1) and SARS-CoV-1, and are detectable in all macaques 6 months post-booster. We also describe the induction of consistent and robust memory B cell responses, independent of the levels measured post-primary immunization. These data suggest that a booster dose with a Beta-containing CoV2 preS dTM-AS03 vaccine can induce robust and durable cross-neutralizing responses against a broad spectrum of variants.
Entropy Minimization &amp; DomainAdversarial Training guided by LabelDistribution Similarity for DomainAdaptation
Authors: Xu Fangzheng , Bao Yu , Li Bingye , Hou Zhining , Wang Lekang 
Published: December 2022

Abstract
In domain adaptation, entropy minimization are widely used. However, entropy minimization will bring negativetransfer when the pseudo-labels are inconsistent with the real labels. We hope to increase pseudo-label accuracy to counternegative transfer in entropy minimization. To this end, we introduce domain adversarial training into entropy minimization.Furthermore, we consider the misalignment caused by domain adversarial training under severe label shift. Therefore, wepropose method called entropy minimization and domain adversarial training guided by label distribution similarity. Throughdomain adversarial training which focus more on class-aligned divergence, our method improves pseudo-label accuracy andreduce negative transfer in entropy minimization. Extensive experiments demonstrate the effectiveness and robustness of ourproposed method.
Rotation related systematic effects in a cold atom
interferometer onboard a Nadir pointing satellite
Authors: Beaufils Quentin , Lefebve Julien , Baptista Joel Gomes , Piccon Raphaël , Cambier Valentin , Sidorenkov Leonid , Fallet Christine , Lévèque Thomas , Santos Franck Pereira Dos 
Published: December 2022

Abstract
We study the effects of rotations on a cold atom accelerometer onboard a Nadir pointing satellite. A simulation of the satellite attitude combined with a calculation of the phase of the cold atom interferometer allow us to evaluate the noise and bias induced by rotations. In particular, we evaluate the effects associated to the active compensation of the rotation due to Nadir pointing. This study was realized in the context of the preliminary study phase of the CARIOQA Quantum Pathfinder Mission.