bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic Utility of Galectin-3 in Papillary Lesions of Thyroid
Authors: Dwarampudi Raga Sruthi , B.R. Yelikar , Vallabha Tejaswini , D Rodrigues Lynda 
Published: September 2022

Introduction: Papillary thyroid carcinoma (PTC) is the most common malignant neoplasm of the neck. Most cases of PTC are diagnosed based on pathologic criteria. However, few thyroid lesions that mimic nuclear features or the architecture of PTC pose diagnostic problems. Papillary projections may be encountered in benign papillary hyperplasia of multinodular goiter, Hashimoto’s thyroiditis, and Graves’ disease. For this reason, the approach to these challenging lesions should include immunohistochemistry. Galectin-3(Gal-3) is an immunohistochemical marker that shows positivity in PTC. The present study was undertaken to investigate whether strong galectin-3 expression is an essential hallmark of PTC or papillary thyroid hyperplasia.
Material and Methods: Gal-3 expression was sought by immunohistochemistry in 33 cases of papillary patterns (on microscopy) of thyroid specimens received at our institution. The results obtained were statistically analysed.
Result and Conclusion: Of the 33 cases studied, 17 were PTC, and 16 were papillary hyperplasia. Immunohistochemical stain with Galectin -3 revealed a statistically significant P – value, which proves the tendency for Galectin -3 expression is higher in PTC than in papillary hyperplasia.
Practices, Perceived Benefits, and Barriers Among Medical Students and Health Care Professionals Regarding the Adoption of eHealth in Clinical Settings: Cross-sectional Survey Study
Authors: Nguyen Long Hoang , Nguyen Lien Thi Khanh , Nguyen Tham Thi , Trong Dam Vu Anh , Vu Thuc Minh Thi , Nguyen Hao Anh Si , Vu Giang Thu , Latkin Carl A , Ho Roger C M , Ho Cyrus S H 
Published: September 2022

Background
eHealth is increasingly becoming an indispensable part of health practice and policy-making strategies. However, the use of eHealth tools in clinical practice and the perceptions of eHealth among medical students and health care professionals in Vietnam are not well understood.

Objective
This study aims to investigate perceptions and practices regarding eHealth and their associated factors among medical students and health care professionals.

Methods
A web-based cross-sectional study was conducted on 523 medical students and health care professionals. Information about the practices for, perceived barriers to, and benefits of eHealth application in clinical practices was collected. Multivariate Tobit and logistic regression models were used to determine factors associated with perceptions and practices.

Results
In total, 61.6% (322/523) of participants used eHealth tools in clinical practices, with moderate levels of eHealth literacy. The score for the perceived benefits of eHealth tools was low. The most common barrier for eHealth utilization was human resources for IT (240/523, 45.9%), followed by security and risk control capacity (226/523, 43.2%) and no training in eHealth application (223/523, 42.6%). Age, eHealth literacy, and the use of the internet for updating medical knowledge were positively associated with using eHealth tools in clinical practices.

Conclusions
eHealth tools were moderately used in clinical practices, and the benefits of eHealth were underestimated among health care professionals and medical students in Vietnam. Renovating the current medical education curriculum to integrate eHealth principles should be required to equip health care professionals and medical students with essential skills for rapid digital transformation.
Motive-Oriented, Personalized, Internet-Based Interventions for Depression: Nonclinical Experimental Study
Authors: Bücker Lara , Berger Thomas , Bruhns Alina , Westermann Stefan 
Published: September 2022

Background
The low level of adherence in internet-based self-help interventions for depression suggests that in many existing programs, the motivational fit between the program and the user is unsatisfactory (eg, the user seeks autonomy, but the program provides directive guidance). Personalized, motive-oriented, self-help interventions could enable participants who interact with a program and its contents to have more engaging and less aversive experiences and thus increase adherence.

Objective
In an experimental study with a nonclinical analogue sample, we aimed to test the hypotheses that a better motivational person-program fit is linked with higher anticipated adherence, working alliance, and satisfaction with the program.

Methods
Motivational person-program fit was examined with respect to the 2 contrasting motives being autonomous and being supported. The hypotheses were tested by specifically varying the motivational person-program fit in a nonclinical sample (N=55), where participants were asked to work on, and subsequently evaluate, a limited set of individual pages of a self-help program with guidance (in the form of text messages) for depression. The sections of the self-help program were redesigned to either particularly address the autonomy motive or the support motive. For the quasi-experimental variation of the motivational person-program characteristics, we divided the 55 participants into 2 groups (autonomy group: n=27, 49%; support group: n=28, 51%) by screening method (using the Inventory of Approach and Avoidance Motivation), corresponding to the 2 motives. Both groups evaluated (in randomized order) 2 excerpts of the program—one that matched their motive (fit) and one that was contrary to it (no fit). Immediately after the evaluation of each excerpt, anticipated adherence, working alliance, and treatment satisfaction were assessed.

Results
Regarding being supported, the satisfaction with or violation of this motive had an impact on (optimal) anticipated adherence as well as working alliance and satisfaction with the intervention; a congruent person-program fit resulted in significantly higher anticipated adherence (t27=3.00; P=.006), working alliance (t27=3.20; P=.003), and satisfaction (t27=2.86; P=.008) than a noncongruent fit. However, a similar impact could not be found for the motive being autonomous. Several correlations were found that supported our hypotheses (eg, for the congruent person-program fit autonomy motive and autonomy group, support satisfaction negatively correlated with optimal anticipated adherence).

Conclusions
This first experimental study gives reason to assume that motive orientation may have a positive influence on adherence, working alliance, and satisfaction in internet-based self-help interventions for depression and other mental disorders. Future studies should conduct randomized controlled trials with clinical samples and assess clinical outcomes.
Informatics in Undergraduate Medical Education: Analysis of Competency Frameworks and Practices Across North America
Authors: Chartash David , Rosenman Marc , Wang Karen , Chen Elizabeth 
Published: September 2022

Background
With the advent of competency-based medical education, as well as Canadian efforts to include clinical informatics within undergraduate medical education, competency frameworks in the United States have not emphasized the skills associated with clinical informatics pertinent to the broader practice of medicine.

Objective
By examining the competency frameworks with which undergraduate medical education in clinical informatics has been developed in Canada and the United States, we hypothesized that there is a gap: the lack of a unified competency set and frame for clinical informatics education across North America.

Methods
We performed directional competency mapping between Canadian and American graduate clinical informatics competencies and general graduate medical education competencies. Directional competency mapping was performed between Canadian roles and American common program requirements using keyword matching at the subcompetency and enabling competency levels. In addition, for general graduate medical education competencies, the Physician Competency Reference Set developed for the Liaison Committee on Medical Education was used as a direct means of computing the ontological overlap between competency frameworks.

Results
Upon mapping Canadian roles to American competencies via both undergraduate and graduate medical education competency frameworks, the difference in focus between the 2 countries can be thematically described as a difference between the concepts of clinical and management reasoning.

Conclusions
We suggest that the development or deployment of informatics competencies in undergraduate medical education should focus on 3 items: the teaching of diagnostic reasoning, such that the information tasks that comprise both clinical and management reasoning can be discussed; precision medical education, where informatics can provide for more fine-grained evaluation; and assessment methods to support traditional pedagogical efforts (both at the bedside and beyond). Assessment using cases or structured assessments (eg, Objective Structured Clinical Examinations) would help students draw parallels between clinical informatics and fundamental clinical subjects and would better emphasize the cognitive techniques taught through informatics.
Examining the Twitter Discourse on Dementia During Alzheimer’s Awareness Month in Canada: Infodemiology Study
Authors: Bacsu Juanita-Dawne , Cammer Allison , Ahmadi Soheila , Azizi Mehrnoosh , Grewal Karl S , Green Shoshana , Gowda-Sookochoff Rory , Berger Corinne , Knight Sheida , Spiteri Raymond J , O'Connell Megan E 
Published: September 2022

BackgroundTwitter has become a primary platform for public health campaigns, ranging from mental health awareness week to diabetes awareness month. However, there is a paucity of knowledge about how Twitter is being used during health campaigns, especially for Alzheimer’s Awareness Month.ObjectiveThe purpose of our study was to examine dementia discourse during Canada’s Alzheimer’s Awareness Month in January to inform future awareness campaigns.MethodsWe collected 1289 relevant tweets using the Twint application in Python from January 1 to January 31, 2022. Thematic analysis was used to analyze the data.ResultsGuided by our analysis, 4 primary themes were identified: dementia education and advocacy, fundraising and promotion, experiences of dementia, and opportunities for future actions.ConclusionsAlthough our study identified many educational, promotional, and fundraising tweets to support dementia awareness, we also found numerous tweets with cursory messaging (ie, simply referencing January as Alzheimer’s Awareness Month in Canada). While these tweets promoted general awareness, they also highlight an opportunity for targeted educational content to counter stigmatizing messages and misinformation about dementia. In addition, awareness strategies partnering with diverse stakeholders (such as celebrities, social media influencers, and people living with dementia and their care partners) may play a pivotal role in fostering dementia dialogue and education. Further research is needed to develop, implement, and evaluate dementia awareness strategies on Twitter. Increased knowledge, partnerships, and research are essential to enhancing dementia awareness during Canada’s Alzheimer’s Awareness Month and beyond.
La conectividad un factor clave para la competitividad económica. El caso de la región del Bajío, México
Authors: Zúñiga Arrieta Verónica Del Rocío , Suárez Paniagua Susana 
Published: September 2022

Objetivo: analizar el papel quedesempeña la conectividad en la Región del Bajío, México para el logro de su competitividad económica, establecer si es un factor que le otorga una ventaja competitiva absoluta.   Diseño Metodológico: se realizó una revisión de los planteamientos teóricos sobre globalización, competitividad y conectividad, particularmente de los que establecen una relación entre conectividad y competitividad, se recopiló información sobre la disposición de la conectividad con la que cuenta la región, así como sobre algunas variables económicas referidas a la exportación (subsectores de mayor volumen de exportación, personal ocupado, empresas y su aportación PIB). Luego se elaboró un índice de conectividad de la región con base en la obtención del índice de conectividad terrestre, del índice de conectividad de vías áreas y del índice de conectividad marítima y por último se calculó el coeficiente de correlación y el coeficiente de Pearson entre la conectividad y las variables económicas.  Resultados: se encontró que existe una relación entre el índice de conectividad con la competitividad de la región -medida a través de las exportaciones-, por medio de la obtención del coeficiente de correlación y el coeficiente de Pearson entre estas variables, los cuales indican una correlación positiva, pero no robusta en la región.  Limitaciones de la investigación: la falta de información documental referente a las vías de comunicación por parte de fuentes oficiales.  Hallazgos: se encontró que la conectividad con la que cuenta la región no es igual en todos los estados que la integran, y ello propicia que las empresas se concentren en aquellos lugares donde existe mayor cobertura y accesibilidad de infraestructura física, por lo que si bien la conectividad constituye una ventaja competitiva absoluta, se advierte que no todos los territorios cuentan en la misma medida con esta ventaja.
Optimization of Parameters of a Vibroconveyor System for Infrared Drying of Soy
Authors: Malkina Vira , Kiurchev Sergey , Hutsol Taras , Verkholantseva Valentуna , Kiurcheva Lyidmila , Miroshnichenko Mykola , Biliuk Mykola , Pidlisnyj Vitaliy , Gürgülü Hatice , Kowalczyk Zbigniew 
Published: September 2022

Abstract
This paper proposes a method to determine the optimal parameters for the drying of soybean using a kinematic vibration dryer. Among the main parameters of the investigated vibroconveyor are heat and mass transfer, physical and mechanical. The paper presents a mathematical model of the dependence of parameters of the soybean drying process of soybean built based on experimental data obtained by organizing an effective experiment plan with a sufficiently large number of factor levels. To determine the rational parameters for drying soybean, it is important to build the most accurate and adequate mathematical model, which will determine the most accurate values of the required parameters. For this purpose, it is recommended to conduct an experiment with as many levels of factors as possible. The article proposes an experiment established on a dedicated balanced orthogonal plan, which is optimal according to the D-efficiency criterion. Based on the experimental data, an adequate mathematical model of the dependence of the drying characteristics of soybean (moisture of the processed material (%), temperature inside the product layer (°С) on the parameters – vibration amplitude (mm), distance from the conveyor surface (mm), radiation power (Wt), weight (g·min−1). Following the analysis of the constructed mathematical model, optimal parameters of the developed vibroconveyor infrared dryer were substantiated. The main characteristics of the vibroconveryor mechanism of interoperational transportation of bulk products in the working area were also determined, and a technical and economic analysis of the developed oscillatory system was conducted.
Commercial Real Estate Rental Variation in Ilorin, Nigeria
Authors: Abdulmalik Fatimah Binta , Udoekanem Namnso Bassey 
Published: September 2022

Abstract
The goal of any real estate investor is to maximize return. This can be achieved through the generation of rental income. Thus, it is pertinent that the nature and characteristics of rental value are understood by investors to enhance real estate market penetration. This study examined commercial real estate rental variation in Ilorin, Nigeria, with specific focus on commercial complexes. For data collection, the study area was delineated into three commercial zones. Primary data for the study were collected from occupiers of commercial complexes and property valuers operating within these areas through structured questionnaire, based on purposive sampling technique. The study utilised an analysis of variance (ANOVA) technique to analyse the variation in rental values of commercial complexes in the study area. Results of data analysis revealed a statistically significant variation in rental values of commercial complexes in the study area (F ꞊ 16.70809, p ≤ 0.05) and an increasing trend of the rental values over the years under study as indicated by the rental index. This variation is perceived to be caused by the safety and quality of location, building visibility and lease term (RII ꞊ 0.97, 0.93 and 0.88, respectively). The study recommends that real estate investors should consider these factors when investing in commercial complexes across the commercial zones in Ilorin.
Measuring and Mapping Micro Level Earning Inequality towards Addressing the Sustainable Development Goals – A Multivariate Small Area Modelling Approach
Authors: Guha Saurav , Chandra Hukum 
Published: September 2022

Abstract
The earning inequality in India has unfavorably obstructed underprivileged in accessing elementary needs like health and education. Periodic labour force survey conducted by National Statistical Office of India generates estimates on earning status at national and state level for both rural and urban sectors separately. However, due to small sample size problem, these surveys cannot generate reliable estimates at micro-level viz. district or block. Thus, owing to unavailability of district-level estimates, analysis of earning inequality is restricted to the national and the state level. Therefore, the existing variability in disaggregate-level earning distribution often goes unnoticed. This article describes multivariate small area estimation method to generate precise and representative district-wise estimate of earning distribution in rural and urban areas of the Indian State of Bihar by linking Periodic labour force survey data of 2018–2019 and 2011 Population Census data of India. These disaggregate-level estimates and spatial mapping of earning distribution are essential for measuring and monitoring the goal of reduced inequalities related to the sustainable development of 2030 agenda. They expected to offer insightful information to decision-makers and policy experts for identifying the areas demanding more attention.
Pseudo Bayesian Mixed Models under Informative Sampling
Authors: Savitsky Terrance D. , Williams Matthew R. 
Published: September 2022

Abstract
When random effects are correlated with survey sample design variables, the usual approach of employing individual survey weights (constructed to be inversely proportional to the unit survey inclusion probabilities) to form a pseudo-likelihood no longer produces asymptotically unbiased inference. We construct a weight-exponentiated formulation for the random effects distribution that achieves approximately unbiased inference for generating hyperparameters of the random effects. We contrast our approach with frequentist methods that rely on numerical integration to reveal that the pseudo Bayesian method achieves both unbiased estimation with respect to the sampling design distribution and consistency with respect to the population generating distribution. Our simulations and real data example for a survey of business establishments demonstrate the utility of our approach across different modeling formulations and sampling designs. This work serves as a capstone for recent developmental efforts that combine traditional survey estimation approaches with the Bayesian modeling paradigm and provides a bridge across the two rich but disparate sub-fields.
Detection of a new emerging strain of rabbit haemorrhagic disease virus 2 (GI.2) in China
Authors: Chen Wanting , Tu Teng , Luo Yan , Yang Zexiao , Yao Xueping , Wu Xulong , Wang Yin 
Published: September 2022

Abstract

Introduction
In May 2020, an outbreak of rabbit haemorrhagic disease 2 (RHD2) caused by the rabbit haemorrhagic disease virus 2 (RHDV2, GI.2) occurred in Sichuan, China. The acute onset and short disease course resulted in rabbit mortality as high as 42.86%. Currently, basic research on the aetiology and genetic characteristics of GI.2 is lacking in China.

Material and Methods
Pathological changes in various tissues from infected rabbits were investigated and the viral genome was characterised. This study used RT-PCR, histopathology and scanning electron microscopy to identify the pathogen in samples from infected rabbits that had died. Phylogenetic trees were constructed based on whole genome sequence analysis, and recombination events were analysed.

Results
RT-PCR identified the presence of GI.2. Histopathology revealed liver cell necrosis and haemorrhaging into lung alveoli. Electron microscopy demonstrated spherical GI.2 particles that were 40 nm in size. The gene sequence length of the isolate was 7,445 bp (GenBank accession number MW178244). A phylogenetic analysis based on the genome of the isolated strain and 60 reference strains showed that the isolate was grouped together with GI.2 strain MT586027.1 in a relatively independent sub-branch. The results of the recombination analysis showed that the strain was recombined from the MT586027.1 (major parent) and MN90145.1 (minor parent) strains, and recombination breakpoints were at locations in the 2858–5137 nt range.

Conclusion
The results of this study extend our understanding of the molecular epidemiology of GI.2.
Enflasyon ve İşsizlik Arasındaki İlişki: Türkiye için Ampirik Bir Araştırma
Authors: BUYRUKOĞLU Ayşin , ALTUNAKAR MERCAN Şehnaz 
Published: September 2022

Enflasyon ve işsizlik arasındaki ilişki ilk olarak 1958'de İngiltere'de işsizlik ve parasal ücret artışı arasında negatif bir ilişki bulan Phillips tarafından ortaya atılmıştır. Bu hipotezin savunucuları, enflasyon ve işsizlik arasında, işsizlik oranını azaltabilmek için kullanılabilecek bir değişim oranı olduğunu iddia etmektedirler.
Bu makale Türkiye ekonomisinde Mayıs 2009’dan Kasım 2021’e kadar olan aylık verileri kullanarak işsizlik ve enflasyon arasındaki ilişkiyi incelemektedir. Değişkenlerin durağanlıkları Augmented Dicky-Fuller ve Phillips- Perron testleri kullanılarak incelenmiş, daha sonra geleneksel birim kök testlerinin yapısal kırılmaları dikkate almamasına yönelik getirilen eleştiriler doğrultusunda geliştirilen Zivot-Andrews birim kök testi de uygulanmıştır. Çalışmada yalnızca iki değişkenin yer alması nedeniyle serilerin birlikte hareketinin olup olmadığını ortaya koymak üzere Engle-Granger eş bütünleşme testi uygulanmıştır.
Yapılan analizler neticesinde, değişkenler arasında eşbütünleşme ilişkisinin var olduğu ve enflasyondan işsizliğe doğru nedensellik ilişkisinin varlığı doğrultusunda Phillips Eğrisi’nin Türkiye’nin 2009M05 –2021M11 dönemi için geçerli olduğu ve enflasyondaki %1’lik artışın, işsizlikte %2,6’lık azalış sağladığı sonucuna ulaşılmıştır.