bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship dynamics associated with emotional IPV perpetration and victimization: A meta‐analysis
Authors: Keilholtz Brooke M. , Spencer Chelsea M. , Vail Summer , Palmer Megan
Published: January 2023

Emotional intimate partner violence (IPV) is the most common form of IPV and frequently co‐occurs with other forms of IPV. Risk factors of IPV can give insight to potential pathways and consequences associated with IPV, enhancing treatment efforts. This meta‐analysis examined relationship dynamics associated with IPV perpetration and victimization. Our study found victimization of controlling behavior, demand/withdrawal relationship pattern, perpetration of controlling behavior, jealousy, relationship distress, perpetrator's power in the relationship, anxious attachment, and traditional gender roles were all significantly associated with IPV perpetration. For IPV victimization, victimization of controlling behaviors, fear of the perpetrator, relationship distress, anxious and avoidant attachment, and traditional gender roles were all found to be significantly associated. Relationship satisfaction was found to be negatively associated with emotional IPV perpetration and victimization. Implications for clinicians are discussed.
A method for reproducible high‐resolution imaging of 3D cancer cell spheroids
Authors: Phillips Thomas A. , Caprettini Valeria , Aggarwal Nandini , Marcotti Stefania , Tetley Rob , Mao Yanlan , Shaw Tanya , Chiappini Ciro , Parsons Maddy , Cox Susan
Published: January 2023

Multicellular tumour cell spheroids embedded within three‐dimensional (3D) hydrogels or extracellular matrices (ECM) are widely used as models to study cancer growth and invasion. Standard methods to embed spheroids in 3D matrices result in random placement in space which limits the use of inverted fluorescence microscopy techniques, and thus the resolution that can be achieved to image molecular detail within the intact spheroid. Here, we leverage UV photolithography to microfabricate PDMS (polydimethylsiloxane) stamps that allow for generation of high‐content, reproducible well‐like structures in multiple different imaging chambers. Addition of multicellular tumour spheroids into stamped collagen structures allows for precise positioning of spheroids in 3D space for reproducible high‐/super‐resolution imaging. Embedded spheroids can be imaged live or fixed and are amenable to immunostaining, allowing for greater flexibility of experimental approaches. We describe the use of these spheroid imaging chambers to analyse cell invasion, cell–ECM interaction, ECM alignment, force‐dependent intracellular protein dynamics and extension of fine actin‐based protrusions with a variety of commonly used inverted microscope platforms. This method enables reproducible, high‐/super‐resolution live imaging of multiple tumour spheroids, that can be potentially extended to visualise organoids and other more complex 3D in vitro systems.
Morinda officinalis extract exhibits protective effects against atopic dermatitis by regulating the MALAT1/miR‐590‐5p/CCR7 axis
Authors: Yu Huan‐Huan , Zhao Wei , Zhang Bu‐Xin , Wang Ying , Li Jie , Fang Yu‐Fu
Published: January 2023

Background

Atopic dermatitis (AD) is a chronic inflammatory skin disease with a genetic predisposition, and the traditional Chinese medicine Morinda officinalis and its roots are characterized with anti‐inflammatory effects and have been used for the treatment of various disease. However, it is still largely unknown whether Morinda officinalis extract (MOE) can be used for the treatment of AD.

Objectives

In our study we aimed to determine whether MOE could ameliorate 2,4‐dinitrochlorobenzene (DNCB)‐induced AD and elucidate molecular mechanisms.

Methods

We established an AD mouse model by using DNCB. Skin pathological analysis and ELISA assay were used to detect the effect of MOE on the inflammation of AD model mouse skin and the expression changes of inflammatory factors, and further functional verification was performed in TNF‐α/IFN‐γ‐induced HaCaT cells.

Results

Our in vivo experiments confirmed that MOE remarkably reduced DNCB‐induced AD lesions and symptoms, such as epidermal and dermal thickness and mast cell infiltration and inflammatory cytokines secretion in the mice models. In addition, the underlying mechanisms by which MOE ameliorated AD had been uncovered, and we verified that MOE inhibited MALAT1 expression in AD, resulting in attenuated expression of C‐C chemokine receptor type 7 (CCR7) regulated by MALAT1‐sponge miR‐590‐5p in a competing endogenous RNA (ceRNA) mechanisms‐dependent manner, thereby inhibiting TNF‐α/IFN‐γ‐induced cellular proliferation and inflammation.
Loan‐to‐value limits as a macroprudential policy tool: Developments in theory and practice
Authors: Gatt William
Published: January 2023

I analyze the development of the loan‐to‐value (LTV) ratio limit for households as a macroprudential policy tool in both theory and practice, by surveying theoretical and empirical literature. I argue that the practical implementation of LTV caps preceded theoretical studies, but research has caught up since the global financial crisis, including research on which indicators seem to work best in flagging a potential future crisis. In practice, LTV ratio limits tend to be effective tools in buffering credit and house price growth, although attributing casual effects in empirical studies is not always straightforward. The benefits of LTV policy seem to outweigh some potential side‐effects, such as the output costs of tightening credit. I then survey the recent success with LTV policy in New Zealand and Ireland, particularly by targeting the riskier borrowers. Their experience reveals that learning and fine‐tuning of LTV policies along the way are inevitable.
Cytomorphology and immunocytochemical features of ovarian granulosa cell tumors in ascites or peritoneal washings: A retrospective review
Authors: Zhang Xinying , Pang Shujie , Liu Yixin
Published: January 2023

Aim

To summarize the cytomorphology and immunocytochemistry features of OGCT in ascites or peritoneal washings.

Methods

All cases of histology sections, cytology smears, cell block slides and immunohistochemical staining were reviewed. A panel of immunohistochemistry antibodies consisting of Inhibin, Calretinin, BerEP4 and MC was performed for diagnosis and differential diagnosis.

Results

Seven positive cases (21.2%) in ascites and peritoneal washings were identified in 33 patients with OGCT, which is higher than early studies with positive rate of 7.4%. Clinicopathologic features including tumor size and the incidence of endometrial atypical hyperplasia or carcinoma (EAH/EC) displayed no statistical difference between groups with positive and negative cytology. Immunocytochemical results usually showed typical staining pattern with α‐inhibin, calretinin positive and BerEP4, MC negative. Features of granulosa cells, including nuclear hyperplasia and overlapping, can be observed in all seven positive cases. Nuclear grooves or small conspicuous nucleoli were occasionally observed in the smear. However, features of cell clusters mimicking Call‐Exner bodies, cytoplasmic vacuoles or single cell necrosis were not found on smear. Call‐Exner bodies and mitosis can only be found on cell blocks. All cases of follow‐up information were available and three cases displayed progression and there was a statistical difference between groups with positive and negative cytology.

Conclusion

OGCT with positive cytology in ascites and peritoneal washings tend to have a larger tumor size and higher rates of disease progression. A panel of complementary biomarkers can greatly increase the detection rate and help in differential diagnosis in ascites or peritoneal washings of OGCT.
A Person Without a Past: Robert Michels and Alfred Schutz and the Sociology of the “Stranger”
Authors: Adair‐Toteff Christopher
Published: January 2023

Robert Michels and Alfred Schutz might not seem to have much in common. Michels was a political sociologist and Schütz was a philosopher of phenomenology, but they shared one crucial thing: they were both strangers in foreign countries. Michels left Germany for Italy and Switzerland because he was not permitted to complete the second degree necessary to teach at the university level while Schutz was compelled to leave Austria for France and the United States because of his Jewish background. Their experiences of trying to adapt in a foreign country prompted them to reflect on what it means to be “the stranger” (“Der Fremde”). Michels wrote “Materialien zu einer Soziologie des Fremden” in 1925 and Schutz published “The Stranger: An Essay in Social Psychology” in 1944. While Schutz’ article has been repeatedly cited, there does not seem to be a study devoted to it. Michels' article remains among his most neglected writings. However, both works offer a theoretical and contextual account of the obstacles the stranger encounters when trying to understand and to acclimate oneself to a new environment. As Schutz noted, the stranger is a person “without a past”, and Michels suggested, is also a person with an uncertain future.
Effectiveness of sound and darkness interventions for critically ill patients' sleep quality: A systematic review and component network meta‐analysis
Authors: Fang Chiu‐Shu , Tu Yu‐Kang , Chang Shih‐Lun , Kuo Chia‐Chi , Fang Ching‐Ju , Chou Fan‐Hao
Published: January 2023

Background

Noise and lighting are prime factors of poor sleep quality in critically ill patients, which impair recovery and increase the risk of delirium or complications.

Aim

To identify and rank the effectiveness of sound and darkness interventions on the sleep quality of critically ill patients.

Study Design

This systematic review and component network meta‐analysis was based on the Preferred Reporting Items for Systematic Reviews incorporating the Network Meta‐Analyses (PRISMA‐NMA) Statement. The Embase, MEDLINE, Cochrane CENTRAL, CINAHL, Airiti Library, and Google Scholar databases were searched from inception to August 10, 2021, for randomized controlled trials (RCTs) on sound and darkness interventions targeting critically ill patients' sleep quality. We applied standard and component NMA to determine the effects of interventions. The certainty of evidence was evaluated using the Cochrane risk‐of‐bias tool (V.2.0) and the online Confidence in Network Meta‐Analysis (CINeMA) application.

Results

Twenty‐four RCTs with 1507 participants who used combined interventions constituting seven competing interventions were included in the standard NMA. The combination of earplugs, eye masks, and music; eye masks alone; earplugs combined with eye masks; and music alone had beneficial intervention effects. The combination of earplugs, eye masks, and music was the best intervention, and these components had no interaction effect. An eye mask had the best relative effect, followed by music, quiet time, and earplugs.

Conclusions

This study provides clinical evidence of the effectiveness of using eye masks, music, and earplugs to improve sleep quality in critically ill patients. We also recommend future research using bedtime music, nocturnal eye masks, and quiet time, which had the best relative effects on sleep quality.

Relevance to clinical practice

This study provides recommendations for interventions that nurses can use to improve critically ill patients' sleep quality.
Emotions, crisis, and institutions: Explaining compliance with COVID‐19 regulations
Authors: Guo Danqi , Habich‐Sobiegalla Sabrina , Kostka Genia
Published: January 2023

Amid the COVID‐19 pandemic, citizens' compliance with government preventive measures was one of the top policy priorities for governments worldwide. This study engages with socio‐legal and psychological theories on compliance and proposes an analytical framework to explore the role of different psychological factors on individual‐level compliance during global health crises. Using the results of three national surveys, we argue that various negative emotional states, perceptions of the ongoing crisis, and of the institutional settings are major factors influencing individual compliance across countries. Most importantly, while increased panic, anxiety, and sadness lead to higher compliance, rising anger, loneliness, and impatience decrease compliance levels. Notably, perceptions of the COVID‐19 crisis—especially health concerns and a worsening financial situation—tend to elicit anger among citizens across countries, thereby further hampering their obedience with pandemic regulations. Furthermore, perceptions of public institutions also influence individual compliance. Overall, in order to ensure compliance, we suggest that policymakers and those implementing government measures take individual psychological factors into account both within and beyond the public crisis context.
Macroeconomic volatility and anti‐refugee violence in developing countries: Evidence from commodity price shocks
Authors: Lehmann Michael Christian
Published: January 2023

I investigate the effect of macroeconomic (output) volatility on anti‐refugee violence in developing countries. Opportunity cost, rapacity, and state capacity theories predict ambiguous effects. For causal inference I leverage output volatility caused by plausibly exogenous commodity price shocks. I find that adverse commodity price shocks increase both violence of natives against refugees and violence between refugees. My results suggest that anti‐refugee violence increases during recessions and decreases during economic booms.
Dualisation, education and the knowledge economy: Comparing Germany and South Korea
Authors: Fleckenstein Timo , Lee Soohyun Christine , Mohun Himmelweit Samuel
Published: January 2023

In post‐war Germany and South Korea, not only was vocational education and training key to the two countries' export‐oriented growth models, it also promoted social inclusion. More recently, the knowledge economy has put this skills‐based, inclusive growth model under pressure, and we see labour market dualisation calling into question the social contracts in the two countries. Studying education reform in Germany and Korea, we analyse government capacity to reconcile efficiency and inclusion in the knowledge economy, in the context of twin pressures from firms (with changing skills needs) and parents (with high aspirations for their children). We show that the German government, drawing on its corporatist past, has been more successful in mediating these pressures than Korea, where hierarchical business relations undermined employer engagement and more inclusive policies.
Descriptive Epidemiology of Campus Recreation Injuries
Authors: Morogiello Jenna , Roessler Rebekah , Flowers Maddison
Published: January 2023

Campus recreation is an underserved population lacking specific medical standards, access to on-site medical personnel, and a universal injury surveillance system. The purpose of this study was to retrospectively examine injury epidemiology within a campus recreation center across 4 years. A total of 1,680 injuries were analyzed from one U.S. university with the greatest number of injuries occurring in intramural sports, informal recreation, and club sports, respectively. Of all injuries reported, 73% were musculoskeletal in nature and 9% were from concussions. As most injuries fall outside the scope of basic first aid, on-site medical services should be considered for all campus recreation settings.
The Association of Sport Specialization With Youth Ice Hockey Position and Youth Ice Hockey Parents’ Perceptions of Sport Specialization
Authors: Winans Madeline , Biese Kevin M. , Rudek Grace , Renner Madison N. , Stamm Julie M. , Bell David R.
Published: January 2023

Attitudes and beliefs of parents about sport specialization may indicate why youth athletes decide to specialize. The purpose of this study was to determine the association between sport specialization level, ice hockey position, and the parent/guardians’ attitudes and beliefs on sport specialization. Our results demonstrate that goalies were the most likely to specialize, and parents of specialized ice hockey players tend to believe that sport specialization helps their child achieve future sporting aspirations. Increased sport specialization may put ice hockey goalies at an increased risk for overuse injuries, and parents’ beliefs about sport specialization may impact their child’s sporting behaviors.
The Associations Between Talent Development Environments and Psychological Skills in Iranian Youth Athletes: A Variable and Person-Centered Approach
Authors: Martindale Russell , Li Chunxiao , Andronikos Georgios , Jafari Marziyeh , Badami Rokhsareh
Published: January 2023

The environment plays a significant role in the development of talent athletes. A big part of this is preparing athletes with the psychological skills to cope and thrive through the challenges of their sporting journey. Understanding which features of the talent development environment (TDE) best facilitate psychological skill use would be extremely useful for coaches to understand. As such, the main aim of this research was to investigate the relationships between TDE factors and psychological skills through a variable and person-centered approach (i.e., use of both regression and cluster analyses). A second aim was to examine the psychometric properties of the Persian Talent Development Environment Questionnaire-5 (TDEQ-5) providing an initial validation for its use in Persian speaking cultures. To this end, the TDEQ-5 and Psychological Skills Inventory for Sports—Youth version—Short Form were administered to 371 Iranian athletes. The results showed that higher quality TDEs predicted higher psychological skill use. Specifically, holistic quality preparation predicted all five psychological skills, while long-term development predicted anxiety control and alignment of expectations predicted self-confidence. The Persian TDEQ-5 was found to be a valid and reliable tool. Implications for coaches and those in charge of TDEs are discussed.
A Narrative Literature Review About the Role of Microsaccades in Sports
Authors: Piras Alessandro , Raffi Milena
Published: January 2023

In many daily and sport situations, people have to simultaneously perceive and process multiple objects and scenes in a short amount of time. A wrong decision may lead to a disadvantage for a team or for a single athlete, and during daily life (i.e., driving, surgery), it could have more dangerous consequences. Considering the results of different studies, the ability to distribute visual attention depends on different levels of expertise and environment-related constraints. This article is a narrative review of the current scientific evidence in the field of eye movements in sports, focusing on the role of microsaccades in sporting task situations. Over the past 10 years, microsaccades have become one of the most increasing areas of research in visual and oculomotor studies and even in the area of sport science. Here, we review the latest findings and discuss the relationships between microsaccades and attention, perception, and action in sports.
Development of unified p–y curve model for clays using finite element analysis of laterally loaded piles
Authors: Souri Ahmad , Amirmojahedi Mohsen , Abu-Farsakh Murad , Voyiadjis George Z.
Published: January 2023

In this study, a unified p–y curve model is developed for clays in undrained conditions using the results of 3D finite element (FE) modeling. The p–y curves are primarily used in the analysis of laterally loaded piles. Formulas for the ultimate lateral bearing capacity factor ( Np), and the reference deflection in the p–y curve ( y50), were obtained using the results of parametric studies and regression analysis. The tangent hyperbolic function was used to model the p–y curve shape. In the FE models, the clay soil material was modeled as elastic-perfectly plastic material using Mohr–Coulomb criteria, and the pile material was modeled as elastic only. The parametric study results show that Np varies nonlinearly with depth. The proposed model for Np is composed of two regions: a nonlinear zone and a linear zone. The model for Np used the undrained shear strength ( su), effective unit weight of soil ( γ′), and pile width ( D) as parameters. Further, the proposed model for y50 was found to be dependent on the soil stiffness ( Es), D, and Np. The dependency of y50 on Np was often overlooked in previous studies. Finally, the proposed model was imported in LPILE program and the results from previous case studies were compared with the proposed model predictions.
Ontology-Based Driving Simulation for Traffic Lights Optimization
Authors: Zaji Amirhossein , Liu Zheng , Bando Takashi , Zhao Lihua
Published: January 2023

Traffic lights optimization is one of the principal components to lessen the traffic flow and travel time in an urban area. The present article seeks to introduce a novel procedure to design the traffic lights in a city using evolutionary-based optimization algorithms in combination with an ontology-based driving behavior simulation framework. Accordingly, an ontology-based knowledge base is introduced to provide a machine-understandable knowledge of roads and intersections, traffic rules, and driving behaviors. Then, a simulation environment is developed to inspect car behavior in real time. To optimize the traffic lights, a sine-based equation was defined for each traffic light, and the total travel time of the vehicles was considered as the cost function in the optimization algorithm. The optimization was performed with 5, 10, 15, 20, 25, and 30 vehicles in the urban areas. Based on the results, in contrast to uncontrolled intersections without traffic lights, optimized traffic lights can significantly contribute to total travel time-saving. To conclude, due to an escalation in the number of vehicles, the significance of optimized traffic lights has encountered an increase, and unoptimized traffic lights could increase total travel time even more than a city deprived of any traffic light.
Temporal Cascade Model for Analyzing Spread in Evolving Networks
Authors: Haldar Aparajita , Wang Shuang , Demirci Gunduz Vehbi , Oakley Joe , Ferhatosmanoglu Hakan
Published: January 2023

Current approaches for modeling propagation in networks (e.g., of diseases, computer viruses, rumors) cannot adequately capture temporal properties such as order/duration of evolving connections or dynamic likelihoods of propagation along connections. Temporal models on evolving networks are crucial in applications that need to analyze dynamic spread. For example, a disease spreading virus has varying transmissibility based on interactions between individuals occurring with different frequency, proximity, and venue population density. Similarly, propagation of information having a limited active period, such as rumors, depends on the temporal dynamics of social interactions. To capture such behaviors, we first develop the
Temporal Independent Cascade (T-IC)
model with a spread function that efficiently utilizes a hypergraph-based sampling strategy and dynamic propagation probabilities. We prove this function to be submodular, with guarantees of approximation quality. This enables scalable analysis on highly granular temporal networks where other models struggle, such as when the spread across connections exhibits arbitrary temporally evolving patterns. We then introduce the notion of “reverse spread” using the proposed T-IC processes, and develop novel solutions to identify both sentinel/detector nodes and highly susceptible nodes. Extensive analysis on real-world datasets shows that the proposed approach significantly outperforms the alternatives in modeling both
if
and
how
spread occurs, by considering evolving network topology alongside granular contact/interaction information. Our approach has numerous applications, such as virus/rumor/influence tracking. Utilizing T-IC, we explore vital challenges of monitoring the impact of various intervention strategies over real spatio-temporal contact networks where we show our approach to be highly effective.
Mechanised Operational Reasoning for C11 Programs with Relaxed Dependencies
Authors: Wright Daniel , Dalvandi Sadegh , Batty Mark , Dongol Brijesh
Published: January 2023

Verification techniques for C11 programs have advanced significantly in recent years with the development of operational semantics and associated logics for increasingly large fragments of C11. However, these semantics and logics have been developed in a restricted setting to avoid the
thin-air-read
problem. In this article, we propose an operational semantics that leverages an intra-thread partial order (called
semantic dependencies
) induced by a recently developed denotational event-structure-based semantics. We prove that our operational semantics is sound and complete with respect to the denotational semantics. We present an associated logic that generalises a recent Owicki–Gries framework for RC11 RAR (repaired C11) with relaxed and release-acquire accesses. We describe the mechanisation of the logic in the Isabelle/HOL theorem prover, which we use to prove correctness of a number of examples.
Efficient On-Device Session-Based Recommendation
Authors: Xia Xin , Yu Junliang , Wang Qinyong , Yang Chaoqun , Hung Nguyen Quoc Viet , Yin Hongzhi
Published: January 2023

On-device session-based recommendation systems have been achieving increasing attention on account of the low energy/resource consumption and privacy protection while providing promising recommendation performance. To fit the powerful neural session-based recommendation models in resource-constrained mobile devices, tensor-train decomposition and its variants have been widely applied to reduce memory footprint by decomposing the embedding table into smaller tensors, showing great potential in compressing recommendation models. However, these model compression techniques significantly increase the local inference time due to the complex process of generating index lists and a series of tensor multiplications to form item embeddings. The resultant on-device recommender fails to provide real-time responses and recommendations. To improve the online recommendation efficiency, we propose to learn compositional encoding-based compact item representations. Specifically, each item is represented by a compositional code that consists of several codewords, and we learn embedding vectors to represent each codeword instead of each item. Then the composition of the codeword embedding vectors from different embedding matrices (i.e., codebooks) forms the item embedding. Since the size of codebooks can be extremely small, the recommender model is thus able to fit in resource-constrained devices and save the codebooks for fast local inference. Besides, to prevent the loss of model capacity caused by compression, we propose a bidirectional self-supervised knowledge distillation framework. Extensive experimental results on two benchmark datasets demonstrate that compared with existing methods, the proposed on-device recommender not only achieves an 8x inference speedup with a large compression ratio but also shows superior recommendation performance. The code is released at https://github.com/xiaxin1998/EODRec.
Genetic Diversity and Population Structure of Selected Ethiopian Indigenous Cattle Breeds Using Microsatellite Markers
Authors: Bora Shelema Kelbessa , Tessema Tesfaye Sisay , Girmay Gebrerufael
Published: January 2023

Background. In Ethiopia, livestock contributes 45% of agricultural GDP. Despite the economic role played by the sector, there have been little efforts to genetically improve the indigenous cattle. Morphological characterization of selected Ethiopian indigenous cattle has been made for (Bonga, Jimma, and Kerayu) cattle types. But, the selected indigenous cattle were not characterized at molecular level (genetic diversity information). Hence, this work was initiated to detect and determine the genetic diversity and population structure of selected Ethiopian indigenous cattle ecotypes using microsatellite markers. Results. Different alleles were identified (131) and thirty-three of these alleles were unique to specific ecotypes. All loci used were informative with PIC values ranging from 0.5 (TGLA126) to 0.84 (ETH10) with a mean of 0.70 per locus. The Shannon information index ranged from (I = 1.02) ILST006 to (I = 1.63) ETH10 with an average of 1.28 revealing there is genetic diversity. Moreover, analysis of molecular variance (AMOVA) revealed 84% genetic variation within a population and 13% variation among populations. The value of F-statistics (Fst) (0.129 = 13%) indicated that there was moderate genetic differentiation among ecotypes. The (UPGMA) revealed, Bonga and Jimma clustered together while Kerayu cattle were relatively distinct, Principal coordinates analysis (PCOA) and structure analysis grouped the individual into different clusters confirming the presence of ecotype admixture due to geographical origins and uncontrolled mating. Conclusion. In general, this study has successfully characterized the genetic diversity and population structure of Bonga, Jimma, and Kerayu cattle ecotypes using high polymorphic/informative microsatellite markers. According to this study, Kerayu cattle have high AR and PA when compared to Bonga and Jimma cattle populations. So, the Kerayu population is more diverse than others and it is the hotspot for genetic diversity study. The generated information is very relevant for breeder and genetic conservation.
Vitamin D Supplementation for the Outcomes of Patients with Gestational Diabetes Mellitus and Neonates: A Meta-Analysis and Systematic Review
Authors: Wu Chunfeng , Song Yang , Wang Xueying
Published: January 2023

Background. Prevention and timely treatment of gestational diabetes mellitus (GDM) are important to the prognosis of pregnant women and neonates. We aimed to conduct a meta-analysis to evaluate the effects and safety of vitamin D supplementation on GDM patients and neonates, to provide insights into clinical GDM treatment. Methods. Two authors searched the Medline, PubMed, Cochrane Library, Web of Science, Embase, CNKI, and Wanfang databases for randomized controlled trials (RCTs) on the effects and safety of vitamin D supplementation in GDM patients. The quality of the included RCTs was evaluated according to Cochrane handbook. RevMan 5.3 software was used for statistical analysis. Results. A total of 20 RCTs involving 1682 GDM patients were finally included, of whom 837 received vitamin D supplementation. Vitamin D supplementation in GDM patients increased the serum 25(OH)D level (SMD = 4.07, 95% CI: (2.73, 5.41)) and HDL level (SMD = 0.41, 95% CI: (0.23, 0.58)) and reduced serum LDL (SMD = −0.49, 95% CI: (−0.68, −0.29)), TG (SMD = −0.59, 95% CI: (−1.01, −0.17)), and TC (SMD = −0.67, 95% CI: (−1.19, −0.14)) levels in GDM patients (all

P
<
0.05

). Besides, vitamin D supplementation reduced the risk of premature birth (OR = 0.37, 95% CI: (0.22, 0.62)), hyperbilirubinemia (OR = 0.38, 95% CI: (0.25, 0.58)), and neonatal hospitalization (OR = 0.38, 95% CI: (0.25, 0.58)) of neonates (all

P
<
0.05

). No significant publication bias in synthesized results was found (all

P
>
0.05

). Conclusions. Vitamin D supplementation improves the blood lipid level in GDM patients and reduces adverse neonatal outcomes. The dose and duration of vitamin D supplementation for safety need to be further investigated in future high-quality studies.
Oppositional Cat Swarm Optimization‐Based Feature Selection Approach for Credit Card Fraud Detection
Authors: Prabhakaran N. , Nedunchelian R.
Published: January 2023

Credit card fraud has drastically increased in recent times due to the advancements in e‐commerce systems and communication technology. Falsified credit card transactions affect the financial status of the companies as well as clients regularly and fraudsters incessantly try to develop new approaches to commit frauds. The recognition of credit card fraud is essential to sustain the trustworthiness of e‐payments. Therefore, it is highly needed to design effective and accurate credit card fraud detection (CCFD) techniques. The recently developed machine learning (ML) and deep learning (DL) can be employed for CCFD because of the characteristics of building an effective model to identify fraudulent transactions. In this view, this study presents a novel oppositional cat swarm optimization‐based feature selection model with a deep learning model for CCFD, called the OCSODL‐CCFD technique. The major intention of the OCSODL‐CCFD technique is to detect and classify fraudulent transactions using credit cards. The OCSODL‐CCFD technique derives a new OCSO‐based feature selection algorithm to choose an optimal subset of features. Besides, the chaotic krill herd algorithm (CKHA) with the bidirectional gated recurrent unit (BiGRU) model is applied for the classification of credit card frauds, in which the hyperparameter tuning of the BiGRU model is performed using the CKHA. To demonstrate the supreme outcomes of the OCSODL‐CCFD model, a wide range of simulation analyses were carried out. The extensive comparative analysis highlighted the better outcomes of the OCSODL‐CCFD model over the compared ones based on several evaluation metrics.
Incidental Papillary Microcarcinoma and Papillary Thyroid Carcinoma in Multinodular Goiter
Authors: Arican Cigdem D. , Ozturk Tulin , Sager Muhammet Sait , Sertbudak Ipek , Teksoz Serkan , Saricoban Cansu Turker , Uygur Abdulkerim
Published: January 2023

Introduction. This study aimed to examine the incidence of incidental papillary microcarcinoma (PMC) and papillary thyroid carcinoma (PTC) in patients with benign multinodular goiter (MNG) and to compare their relationship with some prognostic factors from a new perspective. Methods. Bilateral total thyroidectomy (BTT) was used to evaluate the data of 716 patients who underwent a surgery for MNG. The prognostic data for these tumors and the relationship between patients with bilateral and multifocal tumors were evaluated using statistical tests. Results. Papillary carcinomas were detected in 201 patients, PMC in 134 of them, and PTCs in 67. Bilaterality was more common in patients with PTCs than in those with PMC. The incidence of bilaterality in male patients with PTC was statistically more common. The presence of intra‐tumoral lymphocytes was higher in multifocal PTC cases than in unifocal PTC cases. Conclusion. The results revealed that the number of PMC s was high in incidental tumors, and patients with PTC with male sex, bilaterality, multifocality, and tumor capsule invasion were associated with poor prognosis.
Accelerating Flow of Carbon Nanotubes with Carboxymethyl Cellulose and Blood Base Materials with Comparative Thermal Features: Prabhakar Fractional Model
Authors: Raza Ali , Al-Khaled Kamel , Muhammad Taseer , Khan Sami Ullah
Published: January 2023

A fractional model is developed to investigate the thermal onset of carbon nanotubes containing single‐wall carbon nanotubes (SWCNTs) and multiwall carbon nanotubes (MWCNTs). The blood and carboxymethyl cellulose (CMC) are utilized to report the characteristics of the base material. The thermal phenomenon is further supported with inclined magnetic force and mixed convection features. The vertical plate with an oscillatory nature induced the flow. After formulating the problem in view of flow assumptions, the fractional framework is carried out via the Prabhakar technique. The validation of the fractional model is ensured in view of previous studies. The comparative thermal aspect of carbon nanotubes and base materials by varying flow parameters is tested.
Effects of Different Vegetable Oils on the Nonalcoholic Fatty Liver Disease in C57/BL Mice
Authors: Manca Camila Sanches , Cordeiro Simões-Ambrosio Lívia Maria , Ovídio Paula Payão , Ramalho Leandra Zambelli , Jordao Alceu Afonso
Published: January 2023

Background. Nonalcoholic fatty liver disease (NAFLD) is the most common hepatic disorder, affecting 22–28% of the adult population and more than 50% of obese people all over the world. Modulation of the fatty acids in diet as a means of prevention against nonalcoholic fatty liver disease in animal models (NAFLD) remains unclear. The treatment of NAFLD has not been described in specific guidelines so far. Thus, the justification for the study is to check modifications in macronutrients composition, fatty acids, in particular, play a significant role in the treatment of NAFLD regardless of weight loss. Aim. To investigate different vegetable oils in prevention and progression of NAFLD in animal models. Methods. For the experiment were used fifty C57BL/6J mice male fed with high fat and fructose diet (HFD) to induce the NAFLD status and they received different commercial vegetable oils for 16 weeks to prevent steatosis. Liver steatosis and oxidative stress parameters were analyzed using biochemical and histological methods. Fatty acids profile in the oils and in the liver samples was obtained. Results. The high fat and fructose diet led to obesity and the vegetable oils offered were effective in maintaining body weight similar to the control group. At the end of the experiment (16 weeks), the HFHFr group had a greater body weight compared to control and treated groups (HFHFr: 44.20 ± 2.34 g/animal vs. control: 34.80 ± 3.45 g/animal; p < 0.001; HFHFr/OL: 35.40 ± 4.19 g/animal; HFHFr/C: 36.10 ± 3.92 g/animal; HFHFr/S: 36.25 ± 5.70 g/animal; p < 0.01). Furthermore, the HFD diet has caused an increase in total liver fat compared to control (p < 0.01). Among the treated groups, the animals receiving canola oil showed a reduction of hepatic and retroperitoneal fat (p < 0.05). These biochemical levels were positively correlated with the hepatic histology findings. Hepatic levels of omega‐3 decreased in the olive oil and high fat diet groups compared to the control group, whereas these levels increased in the groups receiving canola and soybean oil compared to control and the high fat groups. Conclusion. In conclusion, the commercial vegetable oils either contributed to the prevention or reduction of induced nonalcoholic fatty liver with high fat and fructose diet, especially canola oil.
Spatial Clustering of Tuberculosis-HIV Coinfection in Ethiopia at Districts Level
Authors: Gemechu Leta Lencha , Debusho Legesse Kassa
Published: January 2023

Background. Tuberculosis (TB) is a preventable and treatable disease but it is the leading cause of death among people living with HIV (PLHIV). In addition, the emergence of the HIV pandemic has also had a major impact on TB incidence rates. There are studies in spatial patterns of TB and HIV separately in Ethiopia; there is, however, no information on spatial patterns of TB-HIV coinfection in the country at the districts level at least using yearly data. This paper, therefore, aimed at determining the spatial clustering of TB-HIV coinfection prevalence rates in the country at the districts level on an annual basis over a four-year period, 2015–2018. Methods. District-level aggregated data on the number of TB-HIV infections were obtained from the Ethiopian Federal Ministry of Health for 2015 to 2018. The univariate and bivariate global Moran’s index, Getis-Ord

G
i
∗

local statistic, a chi-square test, and a modified

t

-test statistic for Spearman’s correlation coefficient were used to evaluate the spatial clustering and spatial heterogeneity of TB among PLHIV and HIV among TB patients prevalence rates. Results. The district-level prevalence rate of HIV among TB patients was positively and significantly spatially autocorrelated with global Moran’s

I

values range between 0.021 and 0.134 (

p

value

<
0.001

); however, the prevalence of TB among PLHIV was significant only for 2015 and 2017 (

p

value

<
0.001

). Spearman’s correlation also shows there was a strong positive association between the two prevalence rates over the study period. The local indicators of spatial analysis using the Getis–Ord statistic revealed that hot-spots for TB among PLHIV and HIV among TB patients have appeared in districts of various regions and the two city administrations in the country over the study period; however, the geographical distribution of hotspots varies over the study period. Similar trends were also observed for the cold-spots except for 2017 and 2018 where there were no cold-spots for TB among PLHIV. Conclusions. The study presents detailed knowledge about the spatial clustering of TB-HIV coinfection in Ethiopia at the districts level, and the results could provide information for planning coordinated district-specific interventions to jointly control both diseases in Ethiopia.
The Value of Peripheral Blood Leukocyte Parameters in the Early Diagnosis and Clinical Prognosis of Sepsis
Authors: He Yuandan , Liu Qianqian , Wei Lianhua , Sun Zhipeng , Li Wenjuan , Geng Fangmin , Lu Zhangping , Zhang Hongwei
Published: January 2023

Background. Early diagnosis of sepsis is the key to timely, targeted treatment. Cell population data (CPD) has been widely used in many diseases, but its predictive value for early diagnosis and the clinical outcome of sepsis remains unclear. Therefore, this paper discusses whether peripheral blood leukocyte parameters can be used as predictive indicators for early diagnosis and the clinical outcome of sepsis. Methods. A retrospective study of 45 patients with sepsis, 53 patients with nonseptic infections, and 86 healthy check-ups admitted to Gansu Provincial Hospital from January 2021 to June 2022 was done using a hematology analyzer. Results. The results of LYMPH#, HFLC#, IG#, NE-WX, LY-WX, LY-WY, and MO-WX showed better diagnostic efficiency in the sepsis group and nonseptic infection group. When the seven differential leukocyte parameters were used to establish diagnostic models, the sensitivity and specificity were 82.20% and 77.40%, respectively. Correlation analysis showed that LYMPH# and HFLC# were positively correlated with PCT (

P
<
0.05

). The clinical outcome of sepsis showed that the leukocyte parameters of discharged WBC and LY-X had better predictive efficacy. When the two differential leukocyte parameters were used to establish diagnostic models, the sensitivity and specificity were 90.90% and 100.00%. Cox regression analysis showed that leukocyte parameters of discharged WBC and LY-X were independent predictors of clinical outcomes (

P
<
0.05

). Conclusion. Leucocyte parameters HFLC#, IG#, NE-WX, LY-WX, LY-WY, and MO-WX had a certain auxiliary effect on the early diagnosis of sepsis leukocyte parameters of discharged WBC and LY-X were independent predictors of clinical outcomes in patients with sepsis. Therefore, peripheral blood leukocyte parameters may have predictive value for early diagnosis and the clinical outcome of sepsis, but large-scale retrospective studies are still needed to prove our preliminary results.
Development and Application Evaluation of a Nursing Simulation Teaching Information System Based on Hospital Information Systems
Authors: Zhang Lei , Wu Jing , Yang Jie , Chen Shao-Shi , Liu Jing-Ping , Zhang Ping , Chu Jing , Luo Chen-Ling
Published: January 2023

Background. The extensive application of hospital information systems in the current information-driven era suggests that nursing education should focus on information education. Methods. The newly developed hospital information system was used and evaluated by 544 students to explore the feasibility and necessity of such applications for teaching. Results. Overall, 97.1% of the students expressed satisfaction, and 96.0% supported simulated information education for nursing. The usability was good, with the system receiving a usability score of 72.625 ± 13.0907. The junior students had a higher score than the sophomores regarding system availability, and the difference was statistically significant. Conclusions. Students generally had a high degree of satisfaction with the simulated information nursing education system and highly approved of the teaching method. However, the system needs to be upgraded.
Research on Partner Selection of High-Speed Railway Dynamic Logistics Alliance Based on the Dynamic Programming Model
Authors: Wu Haixia , Wang Yinghui , Zhang Pei , Yu Jiang , Du Yuxuan
Published: January 2023

Traditional railway transportation can no longer meet people’s demand for logistics services. This paper takes advantage of high speed to propose a high-speed railway dynamic logistics alliance based on a cloud platform to make up for the lack of transport capacity at both ends of the high-speed railway logistics trunk line. Selecting partners is crucial to the high-speed rail logistics alliance. This paper uses the methods of multiobjective fuzzy optimization and dynamic programming to conduct multistage optimization of high-speed railway dynamic logistics alliance partners. When the market demand changes, in order to optimize the overall interests of the alliance, this paper uses the efficiency profit field method to achieve the dynamic selection of alliance partners or potential partners. The case study shows that the establishment of the high-speed railway dynamic logistics alliance can optimize the interests of the members of the alliance, verify the effectiveness of the method, and provide a reference for the better development of high-speed railway logistics.
Influence of BFRP Mesh on UHPC Wet Bonding Performance
Authors: Yin Yushi , Zhang Min , Zhang Guan-hua
Published: January 2023

As an effective method of strengthening concrete in the marine environment, wet bonding has maintained an efficient application mode for many years. At present, research on the wet bonding behavior of UHPC is very rare, so in order to investigate the interfacial bonding performance between basalt fiber-reinforced plastic (BFRP) mesh cloth and ultra-high performance concrete (UHPC) under wet bonding conditions, forty-eight BFRP-UHPC specimens were carried out to investigate the influence of dry/wet bonding type, mesh depth, and mesh thickness on the interfacial bonding performance between BFRP and UHPC, and the failure mechanism of the BFRP-UHPC interface was revealed by SEM detection. The test results show that the interfacial wet bonding performance between BFRP and UHPC is better than that of the dry bonding process. With the increasing thickness of BFRP mesh, the interfacial bonding stress of dry and wet bonding shows the opposite trend, respectively. The fiber interlayer structure is the weak link of BFRP; with the increase in mesh depth, the bonding normal stress decreases gradually. When the mesh depth of wet-bonded BFRP is 5 mm, the reinforcement effect is the best, the maximum increase of interfacial bonding stress is 74%, and the tensile strength ratio is as high as 1.74. Compared with the traditional FRP reinforced construction without fiber mesh, the BFRP mesh structure can greatly improve the wet bonding performance, which can provide a theoretical and experimental basis for the design and construction of UHPC wet bonded with BFRP reinforcement engineering. Due to the form and distribution direction of steel fiber, a mechanical occluding effect will be generated at the BFRP mesh, so these two factors are very valuable for this wet bonding research field, for which the related work needs to further proceed.