bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reappraisal on the Diversity of Ticks and Their Endosymbiont Prevalent in Indo-myanmar Border
Authors: Lalawmpuii Khawlhring , Biakzuala Lal , Jacob Siju Susan , Lalmuanpuia Joy , Behera Parthasarathi , Lalrintluanga Khawlhring , Tolenkhomba Thingujam Chaa , Lalremsanga Hmar Tlawmte , Lalchhandama Chhakchhuak , Lalrinkima Hmar 
Published: January 2024

Abstract

In this study, we explored the genetic diversity of ixodid ticks for the first time from Myanmar border of India, Mizoram and investigate their genetic affinities with other Indian isolates as well as with different populations from other countries. For genetic analyses, we employed phylogenetic inferences, genetic divergence, and haplotype networks based on the mitochondrial 16S rRNA, nuclear ITS-2, and 18S rRNA markers. We also implement multivariate principal coordinate analysis to visualize the genetic differentiation across ixodid ticks. Our genetic analyses affirm the identity of the ticks infesting bovine livestock in Mizoram as Rhipicephalus microplus, Haemaphysalis bispinosa, and Amblyomma habraeum. The phylogenetic inferences drawn in this study reveal instances of polytomies within Rhipicephalus species complex which could potentially arise from incomplete lineage sorting as a consequence of rapid diversification. Moreover, the genetic analysis also dictated R. microplus s.l. populations in India, China, and Pakistan constitute a closely related matrilineal lineage and form a distinct cluster of haplotypes with respect to R. microplus s.s. Despite the study, population of R. microplus from Mizoram nested within a single haplotype, our study signified a noticeable intraspecies divergence within R. microplus s.l. across India revealing the recovery of seven distinct matrilineal haplotypes based on the mitochondrial 16S rRNA marker, while a single and three distinct haplotypes are seen in the nuclear 18S rRNA and ITS-2 markers, respectively. This study also unveiled an infection rate of 5% for bovine haemoparasites and 97% for Coxiella-like-endosymbionts among the studied tick population. In conclusion, this study addresses a significant knowledge gap by providing the first documentation report on tick diversity within Myanmar border of India, Mizoram state.
The development of a dietary nutrient density educational tool and the investigation of its acceptance by Chinese residents from Henan province
Authors: Zhai Junya , Zhang Xu , Khatun Pipasha , Wang Saiqi , Cong Minghua , Liang Rui , Yao Fangfang , Liu Huan , Qin Jin , Guo Lijun , Kong Yongxia , Wu Hongbo , Ma Baihui 
Published: January 2024

Abstract

Objectives
Helping consumers select nutrient-dense foods is a strategy to improve their diet quality. However, communications based on the nutrient-dense foods as a positive attribution have not been used widely in nutritional education. This study aimed to develop an educational tool based on the picture and guidance of “Chinese Food Guide Pagoda (2022)", and extend it with the concept of nutrient density, and to investigate its acceptance by Chinese residents.
Methods
Three examples (recipes with high, medium, and low nutrient-rich foods (NRF) 9.2 ratings, an indicator for measuring dietary nutrient density) served as the basis for creating the dietary nutrient density educational tool. A self-designed questionnaire was designed to investigate the acceptance of the "dietary nutrient density educational tool" among college students from Henan province based on the theory of planned behavior.
Results
From three recipes used in the tool, with the decrease in the NRF9.2 score of the recipes, the energy intake was increased from 1686 kcal to 2363 kcal, the dietary fat-to-energy ratio was increased from 28–42%, and the mean adequacy ratio (MAR) was decreased from 0.96 to 0.87. A total of 851 college students completed the acceptance questionnaire. The average score of acceptance was 4.07, with the total score was 5. The results showed that behavior intention to use the tool positively correlated with family residence, subjective norms, and perceptual behavior control, with the latter playing the most substantial role. These three factors can account for 83.5% of the variation in behavior intention.
Conclusion
To encourage customers to choose healthier foods, we were the first to design the dietary nutrient density educational tool, expanding the current instructional tools—the Chinese Food Guide Pagoda (2022). The acceptance questionnaire survey showed that residents had a good acceptance of the tool and family residence, subjective norms, perceptual behavior control may strongly contribute to resident's acceptance for using the educational tool.
Analysis of Parasitic Capacitance of Wireless Power Transfer Coil and its Reduction Technique
Authors: He Qing , Chen Qingbin , Yang Fenggang 
Published: January 2024

Abstract

Wireless power transfer (WPT) technology has been widely investigated and applied in recent times. Increasing operation frequency proves to be effective in enhancing power transfer distance and reducing the volume of the magnetic coupling system (MCS) in the WPT system. However, once the frequency reaches MHz, the capacitive parasitic parameters of the coil in MCS can not be ignored, as it adversely affects the output characteristics in a series/series (S/S) compensation wireless power transfer system. This paper presents a method for parasitic capacitance modelling method and introduces a technique for its reduction in MCS. The parasitic capacitance is not only determined by the coil structure, including capacitance between adjacent and nonadjacent turns, but also by the electrical potential distribution of the winding turns. Based on the mathematical model of parasitic capacitances in MCS, a distributed capacitance compensation structure is adopted, and the capacitance parameters determination method is proposed. With the method, the coil parasitic capacitance can be reduced by changing the voltage potential distribution of the coil in MCS to minimize the impact of parasitic capacitances. Experimental results verify the accuracy and effectiveness of the theoretical analysis.
Riboflavin Intake and Mortality of Patients with Chronic Kidney Disease
Authors: Ren Xiaoxu , Wang Rong , Liu Xiangchun , Liu Fen , Wang Quanzhen , Sun Dehua , Jiang Zhiming , Chen Hairong 
Published: January 2024

Abstract
Background
Current studies have not reported the association between riboflavin intake and all-cause mortality of patients with chronic kidney disease (CKD). The aim of this study is to explore whether riboflavin intake is associated with the risk of all-cause mortality of patients with CKD.
Methods
This was a retrospective cohort study, and data extraction was performed in the National Health and Nutrition Examination Survey (NHANES). Cox regression analysis was used to calculate the hazard ratio (HR) and 95% confidence interval (CI) to assess the association between riboflavin intake and the risk of all-cause mortality. Subgroup analysis was carried out according to gender, CKD stage, hypertension, hyperlipidemia, and cardiovascular disease (CVD).
Results
A total of 3,750 patients were finally included for analysis. After potential confounders, lower intake of riboflavin was associated with the higher risk of all-cause mortality (Q1: HR = 1.33, 95% CI: 1.05–1.69). The similar association was also found in patients at mild/moderate stage (HR = 1.32, 95% CI: 1.05–1.66), in female (HR = 1.35, 95% CI: 1.01–1.81), with hypertension (HR = 1.37, 95% CI: 1.07–1.75), CVD (HR = 1.48, 95% CI: 1.08–2.03), and dyslipidemia (HR = 1.29, 95% CI: 1.01–1.66).
Conclusions
This study found the association between low riboflavin intake and high risk of all-cause mortality, indicating a potential beneficial role of riboflavin in CKD patients.
Estimates of lithium mass yields from produced water sourced from the Devonian-aged Marcellus Shale
Authors: Mackey Justin , Bain Daniel J. , Lackey Greg , Gardiner James , Gulliver Djuna , Kutchko Barbara 
Published: January 2024

Abstract
Decarbonatization initiatives have rapidly increased the demand for lithium. This study uses public waste compliance reports and Monte Carlo approaches to estimate total lithium mass yields from produced water (PW) sourced from the Marcellus Shale in Pennsylvania (PA). Statewide, Marcellus Shale PW has substantial extractable lithium, however, concentrations, production volumes and extraction efficiencies vary between the northeast and southwest operating zones. Annual estimates suggest statewide lithium mass yields of approximately 1,159 (95% CI: 1139–1178) metric tons per year. Production decline curve analysis on PW volumes reveal cumulative volumetric disparities between the northeast (median = 2.89 X 107 L/10-yr) and southwest (median = 5.56 x 107 L/10-yr) regions of the state, influencing estimates for ultimate lithium yields from wells in southwest [2.90 (95% CI: 2.80–2.99) mt/ 10-yr] and northeast [1.96 (CI: 1.86–2.07) mt/10-yr] PA. Moreover, Mg/Li mass ratios vary regionally, where NE PA are low Mg/Li fluids, having a median Mg/Li mass ratio of 5.39 (IQR, 2.66–7.26) and SW PA PW is higher with a median Mg/Li mass ratio of 17.8 (IQR, 14.3–20.7). These estimates indicate lithium mass yields from Marcellus PW are substantial, though regional variability in chemistry and production may impact recovery efficiencies.
Protein Features Fusion using Attributed Network Embedding for Predicting Protein-Protein Interaction
Authors: Cao Mei-Yuan , Zainudin Suhaila , Daud Kauthar Mohd 
Published: January 2024

Abstract

Background: Protein-protein interactions (PPIs) hold significant importance in biology, with precise PPI prediction as a pivotal factor in comprehending cellular processes and facilitating drug design. However, experimental determination of PPIs is laborious, time-consuming, and often constrained by technical limitations.Methods:We introduce a novel methodology, called FFANE, amalgamates PPI networks and protein sequence data to enhance the precision of protein interactions predictions. A Gaussian kernel similarity matrix is initially established by leveraging protein structural and functional resemblances. Concurrently, protein sequence similarities are gauged using the Levenshtein distance, enabling the capture of diverse protein attributes. Subsequently, these two feature matrices are merged by employing weighted fusion to achieve an organic amalgamation of structural and sequence details. To gain a more profound understanding of the amalgamated features, a Stacked Autoencoder (SAE) is employed for encoding learning, thereby yielding more representative feature representations. Ultimately, machine-learning methodologies use harnessed features to predict protein-protein interactions.Results:When employing 5-fold cross-validation experiments, our proposed method achieved average accuracies of 94.28%, 97.69% and 84.05% in terms of Saccharomyces cerevisiae, Homo sapiens and Helicobacter pylori datasets, respectively.Conclusion:Experimental findings across various authentic datasets validate the efficacy and superiority of this approach, underscoring its potential value in bioinformatics.
Support preferences among women with and without postpartum depression and anxiety disorder
Authors: Zieß Vanessa , Seefeld Lara , Mojahed Amera , Martini Julia , Asselmann Eva , Schellong Julia , Garthus-Niegel Susan 
Published: January 2024

Abstract

Background Some women struggle with mental health problems such as postpartum depression (PPD) or postpartum anxiety disorder (PAD) after giving birth. This can have a negative impact on the new mother, the infant, and the whole family. However, many women experiencing PPD and/or PAD go unrecognized and untreated. Since appropriate support is essential, efforts should be made to facilitate women’s help-seeking behavior. The purpose of this study was to improve the mental health of postpartum women by understanding their specific support preferences. To this end, the preferences for counseling and treatment services, as well as the service delivery mode among women with PPD, PAD, comorbid PPD and PAD, and women with neither PPD nor PAD were examined. Methods In the cross-sectional study INVITE, mothers (n = 2,031) were interviewed via telephone about three to four months after birth. PPD was assessed using the Edinburgh Postnatal Depression Scale (EPDS), PAD was assessed using the anxiety scale of the Symptom-Checklist-90-Revised (SCL-90-R), and preferences for services and delivery modes were assessed using self-generated questionnaires. Analyses of variance were performed to examine differences between the symptom groups. Results All women preferred the support of(family) midwivesandfamily, friends, or colleaguesand to talk to someonein person. Analyses of variance showed that, overall, women with PPD preferred all services less than women with neither PPD nor PAD. Furthermore, women with PPD preferred psychotherapeutic services (e.g.,inpatient clinicandoutpatient clinic/treatment) less, and women with comorbid PPD and PAD preferred professional and personal confidants (e.g.,midwifeandwomen in the same situation) less than all other women. Women did not differ in their preferences for service delivery mode. Conclusions This study provides unique insight into postpartum women’s preferences for various services and delivery modes. Results showed that women differ in their preferences for services depending on their symptoms. This should be considered when making referrals, and postpartum support should be better tailored to mothers' wishes and needs to improve help-seeking behavior and ultimately postpartum mental health.
A deep learning algorithm for KOL segmentation on social media videos
Authors: Yang Cheng , Zheng Fucheng , Al-Hamid Duaa Zuhair , Chong Peter han Joo , Lam Patrick 
Published: January 2024

Abstract

Nowadays, there is high commercial demand in advertising for KOL (Key Opinion Leader) to advertise commercial products in their social media videos. One effective technique is the product replacement which places the products virtually in the videos. However, one of the challenges of placing the products virtually is the KOL segmentation. Because KOLs often hold products in front of them, which requires the segmentation to segment not only human but also different products. This paper introduces the state-of-the-art deep learning method, namely RSUDISNet, for KOL segmentation on social media video. The proposed deep convolutional neural network (CNN) can segment both KOL and different products which block the KOLs. The proposed technique integrates two CNN technologies. One is the matting objective decomposition network (MODNet), which segments KOLs well but not the products blocking the KOLs. The other one is the two-level nested U-structure network (U2Net) based on salient object detection method to segment the objects well, but not the KOL. The key technique of U2Net is the residual U-block (RSU), which can build neural network architecture deeper, while saving computing. This research employs the RSU block to embed the MODNet to overcome the problem of KOL segmentation from U2Net. Since both MODNet and U2Net are lightweights, the combined network can be used for real-time scenario. After that, the intermediate supervision (IS) training strategy is utilized to overcome the overfitting, which increases the accuracy to a higher level. The experimental results show that our proposed method outperforms the MODNet and U2Net.
Pan-cancer landscape analysis of NOP58 and its oncogenic driving role in lung adenocarcinoma
Authors: Qian Shushu , Liu huafeng , Zhang Min , Zhang Li , Dai yunlan , Ye xiangming , Wen Wanshun , Cheng Ruidong 
Published: January 2024

Abstract

Even with improvements in treatment in recent years, lung adenocarcinoma (LUAD) patients still face poor prognoses. In this study, we elucidated the possible activities of NOP58 ribonucleoprotein in pan-cancer and validated its oncogenic significance in LUAD using bioinformatics and in vitro functional tests. NOP58 was shown to be overexpressed in several kinds of tumors. It had great precision for predicting 20 distinct cancer types using receiver operating characteristic curve (ROC) as well as significant connections with the prognoses in particular cancers. NOP58 was correlated substantially with the TNM stage, pathologic stage, smoking status, and effectiveness endpoints in LUAD when we analyzed its association with clinical characteristics in LUAD. Elevated NOP58 expression was shown as connected with Th2 cell infiltration while also negatively linked with infiltrating other immune cells, such as CD8 T, cytotoxic, and Th1. By inhibiting NOP58 within the LUAD cells, we found a decrease in cells’ capability to proliferate, migrate, and invade. The tissue microarray study indicated that there was a greater expression of NOP58 in the tumor tissues of LUAD than in paracarcinoma tissues. Our findings revealed that NOP58 could be an outstanding bio-index for pan-cancer diagnosis and prognosis and an independent prognostic risk factor of LUAD.
Association between nontraditional lipid parameters and cardiovascular outcomes in patients undergoing percutaneous coronary intervention: a retrospective study
Authors: Wang Baiqiang , Mei Zeyuan , Li Yunyi , Dai Honggang , Meng Xiao , An Guipeng 
Published: January 2024

Abstract
Background Nontraditional lipid parameters, such as the atherogenic index of plasma (AIP), triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL ratio), Castelli Risk Index I (CRI-I), Castelli Risk Index II (CRI-II), fasting blood glucose to high-density lipoprotein cholesterol ratio (GHR), and lipoprotein combine index (LCI), have been implicated in cardiovascular disease. This study aims to explore the correlation between nontraditional lipid parameters and cardiovascular outcomes in patients with coronary artery disease (CAD) undergoing percutaneous coronary intervention (PCI), while also evaluating their predictive capabilities. Methods The study included 2533 consecutive patients who underwent PCI. Data from 2006 patients were analyzed using multivariate logistic models to analyze the association between nontraditional lipid parameters and major adverse cardiac and cerebrovascular events (MACCEs). Results Over a 34-month follow-up, 338 patients (16.8%) experienced MACCEs. The multivariate logistic regression analysis revealed a significant association, showing that a 1.0-SD increment in CRI-I (OR: 1.15, 95% CI: 1.03–1.30), CRI-II (OR: 1.20, 95% CI: 1.07–1.35), and LCI (OR: 1.19, 95% CI: 1.06–1.34) was significantly related to MACCEs in the overall population (all P < 0.01). Subgroup analyses revealed significant interactions between AIP, TG/HDL ratio, and GHR with sex subgroups. In female patients, after adjusting for other risk factors, AIP (OR: 1.26, 95% CI: 1.00-1.60), TG/HDL ratio (OR: 1.34, 95% CI: 1.03–1.74), and GHR (OR: 1.25, 95% CI: 1.00-1.56) were significantly associated with MACCEs (all P < 0.05). Multivariable-adjusted RCS curves illustrated a linear correlation between CRI-I, CRI-II, and LCI with MACCEs, and a nonlinear relationship between GHR and MACCEs in overall population. When CRI-II is added to the model with fully adjusting variables, its predictive performance may be enhanced (NRI = 0.158, P = 0.009; IDI = 0.005, P = 0.017). Conclusion There was a significant correlation between nontraditional lipid parameters and the risk of MACCEs in patients undergoing PCI. The CRI-II has the potential to enhance the predictive performance of traditional risk models and emerges as the most valuable among nontraditional lipid parameters.
WITHDRAWN: Spirulina C-phycocyanin: extraction, purification, stabilization, and inhibitory potential of key enzymes rRelated to pancreas inflammation, carbohydrate digestion, and glucose metabolism
Authors: Saїdi Saber Abdelkader , Al-Shaikh Turki M. , Hamden Khaled 
Published: January 2024

Abstract
Background
in recent years, it has become necessary to use natural food colorants to protect against different diseases and disorders. The present study aimed to purify, evaluate the stability, and investigate the effect of purified Spirulina C-Phycocyanin (CPC) on digestive and metabolic enzymes linked to hyperglycemia.
Methods
the purification of CPC was performed using column chromatography to isolate compounds and reversed-phase high performance liquid chromatography combined with diode array detector (DAD) and ultraviolet spectroscopy (DAD-HPLC-UV) and infrared Fourier transform (FTIR).
Results
the findings of this study indicate that CPC is stable at temperatures below 45°C and at a pH range of 5 to 7, as well as during storage at 4°C. In diabetic rats, the ingestion of CPC by diabetic rats suppressed key enzymes related to inflammation in pancreas, such as 5-Lipoxygenase (5-LO), hyaluronidase (HAase), myeloperoxidase (MPO), and NADPH oxidase (NOX2 activities) by 48, 41, 75, and 47%, respectively. Additionally, it reduced the pancreas thiobarbituric acid reactive substance rates (TBARS) by 59%, and stimulated the level of nitric oxide (NO) by approximately 164%. Moreover, CPC powerfully suppressed intestinal lipase, α-amylase, maltase, and sucrose activities, and significantly decreased glycosylated hemoglobin (HbA1c). Furthermore, CPC ingestion by diabetic rats suppressed glycogen phosphorylase (GP), stimulated Glycogen synthase (GS) activities, and regulated glycogen content in the liver of diabetic rats. In addition, CPC supplementation to diabetic rats modulated hepatic key enzymes of carbohydrate metabolism in the liver, such as hexokinase (HK), glucose-6-phosphate dehydrogenase (G6PD), glucose-6-phosphatase (G6P), and fructose-1,6-bisphosphatase (FBP), as well as average food and water intake (AFI and AWI), resulting in a decrease in blood glucose level by 56% compared to untreated diabetic rats.
Conclusion
Overall, the results of this research showed that CPC can be used as a functional food coloring as well as a compound to prevent various pathologies such as ulcers, oxidative stress, inflammation and metabolic diseases.
Forced Vibration Analysis of Dispersed Nano-CNT FRP Hybrid Composite Plate Using Refined Plate Theory
Authors: K Lalitha Bhavani , K Dileep Kumar 
Published: January 2024

Abstract
In today's applications, such as aerospace, automotive, spacecraft, boats, sporting goods, and civil infrastructure, fiber reinforced composites, or FRP, are crucial. When synthetic fibers are manufactured, they may explode and release harmful substances that irritate the skin, eyes, and respiratory tract, among other things. Because natural fibers are biodegradable, they are used to counteract the effects of synthetic fibers. This study uses spider silk and flax fiber reinforced polymer composites, and to improve the mechanical properties, a small amount of carbon nanotubes (CNT) is added to the matrix and layer-wise hybridization is performed. The Mori-Tanaka method is used to determine the properties of CNT epoxy, and the Rule of Mixtures is used to determine the elastic properties of the lamina. To get the best structural design with the best performance characteristics, a thorough analysis of the composite structure's vibration behavior with various parameters is crucial. The vibration response of laminated hybrid composite plates under various boundary and loading conditions is studied using the refined plate theory, also known as the refined shear deformation theory (RPT). Hamilton's principle establishes the governing equations, and the Galerkin solution yields the solution. The influence of loading conditions, frequency ratio, CNT percentage variation, and boundary conditions is studied parametrically.