bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic properties of the Frontal Assessment Battery (FAB) in Huntington’s disease
Authors: Solca Federica , Aiello Edoardo Nicolò , Migliore Simone , Torre Silvia , Carelli Laura , Ferrucci Roberta , Priori Alberto , Verde Federico , Ticozzi Nicola , Maffi Sabrina , Ceccarelli Consuelo , Squitieri Ferdinando , Silani Vincenzo , Ciammola Andrea , Poletti Barbara 
Published: November 2022

BackgroundThis study aimed at assessing the diagnostic properties of the Frontal Assessment Battery (FAB) as to its capability to (1) discriminate healthy controls (HCs) from patients with Huntington’s disease (HD) and (2) identify cognitive impairment in this population.MaterialsThirty-eight consecutive HD patients were compared to 73 HCs on the FAB. Patients further underwent the Montreal Cognitive Assessment (MoCA) and the Unified Huntington’s Disease Rating Scale (UHDRS). Receiver-operating characteristics (ROC) analyses were run to assess both intrinsic—i.e., sensitivity (Se) and specificity (Sp), and post-test diagnostics, positive and negative predictive values (PPV; NPV) and likelihood ratios (LR+; LR–), of the FAB both in a case–control setting and to identify, within the patient cohort, cognitive impairment (operationalized as a below-cut-off MoCA score). In patients, its diagnostic accuracy was also compared to that of the cognitive section of the UHDRS (UHDRS-II).ResultsThe FAB and UHDRS-II were completed by 100 and 89.5% of patients, respectively. The FAB showed optimal case–control discrimination accuracy (AUC = 0.86–0.88) and diagnostic properties (Se = 0.68–0.74; Sp = 0.88–0.9; PPV = 0.74–0.8; NPV = 0.84–0.87; LR+ = 5.6–7.68; LR– = 0.36–0.29), performing even better (AUC = 0.9–0.91) at identifying cognitive impairment among patients (Se = 0.73–1; Sp = 0.86–0.71; PPV = 0.79–0.71; NPV = 0.82–1; LR+ =5.13–3.5; LR– = 0.31–0) and comparably to the UHDRS-II (89% vs. 85% of accuracy, respectively; p = 0.46).DiscussionIn HD patients, the FAB is highly feasible for cognitive screening aims, being also featured by optimal intrinsic/post-test diagnostics within both case-control and case-finding settings.
The impact of CSR on green purchase intention: Empirical evidence from the green building Industries in Taiwan
Authors: Tao Yi-Tien , Lin Min-Der , Khan Asif 
Published: November 2022

IntroductionWorldwide supplies are being utilized at a disturbing rate and to a significant degree, the building business has been accountable for this ecological deprivation, particularly because of its elevated level of energy expenditure. Hence, this research paper targets the customers of green building industries in Taiwan and developed a framework based on Carroll’s corporate social responsibility (CSR) model, theory of planned behavior (TPB), and cognitive consistency theory (CCT), to measure the impact of CSR on green purchase intention (GPI). Furthermore, it analyzes the impact of CSR on green word of mouth (GWOM), green attitude (GA), green concern (GC), and green trust (GT). Moreover, it explores the roles of GA, GC, GWOM, and GT on GPI. Finally, to study the mediating roles of GC, GA, and GWOM, with the relationship between CSR and GPI.MethodsThe data for this study was collected from 600 customers of green building businesses located in Taiwan with the help of a convenience sampling technique.ResultsAs per the results of this research, CSR was discovered to have a positive impact on GPI, GWOM, GA, GC, and GT. Furthermore, GWOM had a significant impact on GPI. Moreover, GC and GT were in a significant relationship with GPI. Consequently, all the relationships were significant except the relationship between GA and GPI. Furthermore, GT, GWOM, and GC fully mediate the relationship between CSR and GPI. However, GA was not found to significantly mediate the relationship between CSR and GPI.DiscussionThe findings of this study provide practical implications regarding the impact of CSR on GPI and the trending issue of sustainable career development.
Meta-analysis and systematic review of physical activity on neurodevelopment disorders, depression, and obesity among children and adolescents
Authors: Peng Sanying , Fang Yuan , Othman Ahmad Tajuddin , Liang Jinghong 
Published: November 2022

BackgroundNo consensus on whether physical activity (PA) is related to physical and mental health among pediatric population remains has been reached to date. To further explore their association, our study assessed the effect of PA on physical and mental health of children and adolescents through a systematic review and meta-analysis of randomized controlled studies (RCTs).MethodsSeveral databases(Web of science, PubMed, Embase, Cochrane Central register of controlled trials, CINAHL) were searched from inception to 1st, December 2020 without language restrictions.Results38,236 records were identified primitively and 31 included studies with 1,255 participants eventually met our inclusion criteria, all of which exhibited a relatively low-moderate risk of bias of overall quality. In regard to mental health, the administration of PA, compared with the control group, led to moderate improvements in Autism Spectrum Disorder(ASD)[Standard mean difference (SMD) = −0.50, Confidence interval(CI): −0.87, −0.14)] and depression(SMD = −0.68, CI: −0.98, −0.38) among children and adolescents. Similarly, significant result was observed in obesity (SMD = −0.58, CI: −0.80, −0.36). No significant differences were observed in Attention deficit hyperactivity disorder (ADHD) (SMD = −0.29, CI: −0.59, 0.01).ConclusionAltogether, PA may have a beneficial effect on children and adolescents with ASD, depression and obesity; nevertheless, there is insufficient evidence to confirm its efficacy in ADHD. More large-scale population based randomized controlled trials are needed to explore more reliable evidence between them.
Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing
Authors: Wang Kangtao , Tan Fengbo , Zhu Zhiming , Kong Lingyu 
Published: November 2022

ObjectiveThis study aims to construct and use natural language processing and other methods to analyze major depressive disorder (MDD) and radiology studies’ publications in the PubMed database to understand the historical growth, current state, and potential expansion trend.MethodsAll MDD radiology studies publications from January 2002 to January 2022 were downloaded from PubMed using R, a statistical computing language. R and the interpretive general-purpose programming language Python were used to extract publication dates, geographic information, and abstracts from each publication’s metadata for bibliometric analysis. The generative statistical algorithm “Latent Dirichlet allocation” (LDA) was applied to identify specific research focus and trends. The unsupervised Leuven algorithm was used to build a network to identify relationships between research focus.ResultsA total of 5,566 publications on MDD and radiology research were identified, and there is a rapid upward trend. The top-cited publications were 11,042, and the highly-cited publications focused on improving diagnostic performance and establishing imaging standards. Publications came from 76 countries, with the most from research institutions in the United States and China. Hospitals and radiology departments take the lead in research and have an advantage. The extensive field of study contains 12,058 Medical Subject Heading (MeSH) terms. Based on the LDA algorithm, three areas were identified that have become the focus of research in recent years, “Symptoms and treatment,” “Brain structure and imaging,” and “Comorbidities research.”ConclusionLatent Dirichlet allocation analysis methods can be well used to analyze many texts and discover recent research trends and focus. In the past 20 years, the research on MDD and radiology has focused on exploring MDD mechanisms, establishing standards, and constructing imaging methods. Recent research focuses are “Symptoms and sleep,” “Brain structure study,” and “functional connectivity.” New progress may be made in studies on MDD complications and the combination of brain structure and metabolism.
Burnout, resilience and the quality of life among Malaysian healthcare workers during the COVID-19 pandemic
Authors: Marzo Roy Rillera , Khaled Yassmein , ElSherif Mohamed , Abdullah Muhd Siv Azhar Merican Bin , Zhu Thew Hui , Chong Collins , Soh Shean Yih , Siau Ching Sin , Chauhan Shekhar , Lin Yulan 
Published: November 2022

BackgroundHealthcare workers have to deal with highly demanding work situations, making healthcare as one of the most challenging professions. Up to now, far too little attention has been paid to burnout, resilience and the quality of life among Malaysian healthcare workers. Therefore, this paper explores the correlation between burnout, resilience and quality of life among Malaysian healthcare workers during the COVID-19 pandemic.MethodA total of 394 healthcare workers reported their responses on Maslach Burnout Inventory questionnaire, World Health Organization Quality of Life (WHOQOL)-BREF, and Brief Resilience Scale. Respondents were contacted through convenience sampling method and targeted population constituted Malaysian healthcare workers aged 18 years and above.ResultsFor occupational exhaustion, about 50.5% of participants have moderate degree, 40.6% have high degree, and 8.9% have low degree of burnout. Health workers from age 25 to 35 years have lower physical health compared to health workers aged &lt;25 years (coefficient = −0.77, p = 0.021). Similarly, healthcare workers who were working more than 10 h every day were more likely to report poor psychological health (coefficient = −2.49, p = 0.06). Positive correlation between physical and psychological health was observed. Further, a negative correlation was found between occupational exhaustion and the quality of life.ConclusionIt is important to target physical as well as psychological wellbeing of the healthcare workers. Also, it is important to understand the contribution of long working hours in declining the quality of life of the healthcare workers. Thus, allocating fixed working hours for healthcare workers would bring a much-required change.
Comparison of longitudinal changes in four surrogate insulin resistance indexes for incident T2DM in middle-aged and elderly Chinese
Authors: Pan Liang , Gao Yu , Han Jing , Li Ling , Wang Miyuan , Peng Hongye , Liao Juan , Wan Hua , Xiang Guohua , Han Yangyun 
Published: November 2022

AimsPrevious studies suggested a significant relationship between four surrogate indexes of insulin resistance and subsequent type 2 diabetes mellitus (T2DM). But the association of longitudinal changes (denoted as -D) in CVAI (Chinese visceral adiposity index), LAP (lipid accumulation product), TyG (triglyceride-glucose), and TG/HDL-C (triglyceride/ high-density lipoprotein cholesterol) indexes with the risk of T2DM remained uncertain. We aimed to compare the changes in those four surrogate indexes for predicting T2DM in middle-aged and elderly Chinese.MethodsWe extracted data from the China Health and Retirement Longitudinal Study (CHARLS). Multivariate logistic regression models were used to estimate odds ratio (OR) with 95% confidence interval (CI) of incident T2DM with four surrogate indexes. The restricted cubic spline analysis was used to examine potential non-linear correlation and visualize the dose-response relationship between four indexes and T2DM. The receiver operator characteristic curve was used to compare the performance of the four indexes to predict T2DM.ResultsWe enrolled 4,596 participants in total, including 504 (10.97%) with T2DM. Analysis results showed that four surrogate indexes were associated with T2DM, and the multivariate-adjusted ORs (95% CIs) of T2DM were 1.08 (1.00–1.16), 1.47 (1.32-1.63), 1.12 (1.00–1.25), and 2.45 (2.12–2.83) for each IQR (interquartile range) increment in CVAI-D, LAP-D, TG/HDLC-D, and TyG-D, respectively. Restricted cubic spline regression showed a non-linear correlation between four surrogate indexes and the risk of T2DM (p for non-linear &lt; 0.001). From the ROC (receiver operating characteristic) curve, TyG-D had the highest AUC (area under curve), and its AUC values were significantly different from other three indexes both in male and female (all P &lt; 0.001).ConclusionCompared with other indexes, TyG-D was a better predictor in the clinical setting for identifying middle-aged and elderly Chinese with T2DM. Monitoring long-term changes in TyG might help in the early identification of individuals at high risk of T2DM.
Two-stage hemoglobin prediction based on prior causality
Authors: Chen Yuwen , Zhong Kunhua , Zhu Yiziting , Sun Qilong 
Published: November 2022

IntroductionPerioperative hemoglobin (Hb) levels can influence tissue metabolism. For clinical physicians, precise Hb concentration greatly contributes to intraoperative blood transfusion. The reduction in Hb during an operation weakens blood's oxygen-carrying capacity and poses threats to multiple systems and organs of the whole body. Patients can die from perioperative anemia. Thus, a timely and accurate non-invasive prediction for patients' Hb content is of enormous significance.MethodIn this study, targeted toward the palpebral conjunctiva images in perioperative patients, a non-invasive model for predicting Hb levels is constructed by means of deep neural semantic segmentation and a convolutional network based on a priori causal knowledge, then an automatic framework was proposed to predict the precise concentration value of Hb. Specifically, according to a priori causal knowledge, the palpebral region was positioned first, and patients' Hb concentration was subjected to regression prediction using a neural network. The model proposed in this study was experimented on using actual medical datasets.ResultsThe R2 of the model proposed can reach 0.512, the explained variance score can reach 0.535, and the mean absolute error is 1.521.DiscussionIn this study, we proposed to predict the accurate hemoglobin concentration and finally constructed a model using the deep learning method to predict eyelid Hb of perioperative patients based on the a priori casual knowledge.
Production of kurut (kurt) using probiotic Lacticaseibacillus rhamnosus GG strain in combination with a yeast isolated from Kazakhstan kurut
Authors: Tuganbay Aigerim , Yousefvand Amin , Saris Per Erik Joakim 
Published: November 2022

Kuruts are traditional acid-coagulated fermented dairy products in semisolid or dried form. The present study used probiotic Lacticaseibacillus rhamnosus GG (LGG) and Cryptococcus laurentii yeast, a kurut isolate, to make mixed-fermentation kurut. In addition, kurut was fermented with L. rhamnosus GG as starter. Kurut was also fermented with kefir grains representing a traditional way to initiate the fermentation. The viability of probiotic L. rhamnosus GG strain and physicochemical properties of semisolid kurut products were monitored during storage over 22 days at 4°C. The tested probiotic strain showed viability higher than 7 log CFU/mL in both mixed-fermentation and single-strain-fermentation kurut during storage at 4°C. When prepared with probiotic bacteria, the syneresis values of mixed-fermentation kurut were lower (p &gt; 0.05) than single-strain-fermentation kurut. The flavor and overall acceptability scores for kurut prepared using the combination of probiotic LGG and C. laurentii yeast as starter culture were higher than for the other samples at 11 days of storage (p &gt; 0.05). Taking the above into consideration, probiotic kuruts obtained by milk fermentation inoculated with co-culture of L. rhamnosus GG and C. laurentii yeast could be potential probiotic products to be produced in the dairy industry.
Inulin supplementation prior to mild traumatic brain injury mitigates gut dysbiosis, and brain vascular and white matter deficits in mice
Authors: Yanckello Lucille M. , Chang Ya-Hsuan , Sun McKenna , Chlipala George , Green Stefan J. , Lei Zhentian , Ericsson Aaron C. , Xing Xin , Hammond Tyler C. , Bachstetter Adam D. , Lin Ai-Ling 
Published: November 2022

IntroductionMild traumatic brain injury (mTBI) has been shown to negatively alter bacterial diversity and composition within the gut, known as dysbiosis, in rodents and humans. These changes cause secondary consequences systemically through decreased bacterial metabolites such as short chain fatty acids (SCFAs) which play a role in inflammation and metabolism. The goal of the study was to identify if giving prebiotic inulin prior to closed head injury (CHI) could mitigate gut dysbiosis, increase SCFAs, and improve recovery outcomes, including protecting cerebral blood flow (CBF) and white matter integrity (WMI) in young mice.MethodsWe fed mice at 2 months of age with either inulin or control diet (with cellulose as fiber source) for two months before the CHI and continued till the end of the study. We analyzed gut microbiome composition and diversity, determined SCFAs levels, and measured CBF and WMI using MRI. We compared the results with Naïve and Sham-injury mice at 24 hours, 1.5 months, and 3-4 months post-injury.ResultsWe found that both CHI and Sham mice had time-dependent changes in gut composition and diversity after surgery. Inulin significantly reduced the abundance of pathobiont bacteria, such as E. coli, Desulfovibrio spp and Pseudomonas aeruginosa, in Sham and CHI mice compared to mice fed with control diet. On the other hand, inulin increased SCFAs-producing bacteria, such as Bifidobacterium spp and Lactobacillus spp, increased levels of SCFAs, including butyrate and propionate, and significantly altered beta diversity as early as 24 hours post-injury, which lasted up to 3-4 months post-injury. The mitigation of dysbiosis is associated with protection of WMI in fimbria, internal and external capsule, and CBF in the right hippocampus of CHI mice, suggesting protection of memory and cognitive functions.DiscussionThe results indicate that giving inulin prior to CHI could promote recovery outcome through gut microbiome modulation. As inulin, microbiome analysis, and MRI are readily to be used in humans, the findings from the study may pave a way for a cost-effective, accessible intervention for those at risk of sustaining a head injury, such as military personnel or athletes in contact sports.
Translating primary care to telehealth: analysis of in-person consultations on diabetes and cardiovascular disease
Authors: Lane Jared , David Katrina , Ramarao Jayashanthi , Ward Kanesha , Raghuraman Sunayana , Waheed Moomna , Lau Annie YS 
Published: November 2022

BackgroundThe COVID-19 pandemic had a considerable impact on primary care, resulting in rapid uptake of telehealth. Patients with chronic conditions, such as type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD), relied heavily on telehealth consultations during this period. It is important to assess whether tasks observed during T2DM or CVD in-person consultations are translatable to telehealth.AimTo explore the extent to which in-person GP consultations are translatable to telehealth for patients with T2DM or CVD.Design & settingThis study screened 281 GP consultations conducted in 2017 within the UK general practice setting for consultations pertaining to T2DM or CVD. Seventeen in-person consultations (in deidentified video and transcript) were selected for further analysis.MethodDetailed reporting of tasks, physical artefacts, and physical examinations observed during in-person GP consultations. A new scoring method, applying two key metrics, supporting definitions and examples, was designed to assess translatability of clinical tasks to telehealth.ResultsAcross the 17 T2DM or CVD in-person consultations analysed, 23 clinical tasks, 21 physical artefacts, and nine physical examinations were observed. Sixty per cent of tasks analysed were deemed either easily or relatively easily translatable to telehealth. Twenty-six per cent of tasks were rated as ‘moderately translatable to telehealth’ but may require a patient obtaining their own equipment. Thirteen per cent of tasks were rated as ‘potentially translatable to telehealth’. No clinical tasks for these cohorts were rated as untranslatable to telehealth.ConclusionThe majority of tasks observed during T2DM or CVD in-person GP consultations are translatable to telehealth. Further research is warranted to investigate emergent safety concerns from increased uptake of telehealth.
Del estado actual de los estudios quechuas
Authors: Parker Gary John 
Published: November 2022

Whereas the total bibliography of Quechua studies covers more than four centuries, it is only in the last fifteen years that scientifically trained linguist have begun to seriously study this group of languages which constitutes the most important language family of the western hemisphere (in terms of the number of its speakers, with the corresponding economic and political implications).
This article surveys the current state of Quechua studies, noting research in progress as well as the publications which I considered most important with regard to each dialect area and to the various subdisciplines of modern linguistics.
Section I treats bibliographic sources and the specialized institutions and periodical publications which have appeared in recent years.
In section 2, historical-comparative and dialectological research is discussed and the conclusions of these studies are presented in some detail since they strongly challenge many popular notions concerning Andean Ethnohistory. Section 3 is concerned with synchronic descriptive studies, with special emphasis on the dialects of central Peru —those forms of Quechua which had been totally ignored for centuries but which have now been proven to hold the key to an entirely new theory of the evolution of Quechua.
Section 4 mentions the few socio and psycholinguistic investigation which have been or are being carried out.
Section 5 lists the major pedagogical grammars.
El patrón urbano incaico según el prof. Zuidema y su relación con Incallacta
Authors: Ellefsen Bernardo 
Published: November 2022

L'A. analyse la théorie de Zuidema quant à la relation de la place centrale et des quatre principaux quartiers qui divisent la ville incaïque. Les principaux sanctuaires occupaient dans ce schéma une situation prédéterminée.
Sur cette base, Zuidema conclut que l'ensemble de la ville incaïque suivait une orientation fixe avec le temple principal a Wiracocha qui occupait toujours la même situation par rapport à la place et, au Nord de la ville, toujours, un sommet fortifié. L'A. montre une disposition urbaine semblable entre le Cuzco et Incallacta et, à partir de là, observe que cette ressemblance se retrouve entre les diverses villes incaïques connues.
Recherches archéologiques dans la moyenne vallée du Chillon
Authors: Guffroy Jean 
Published: November 2022

A series of borings and prospections effectuated from May to July 1976 allowed us to recognize 19 sites of human occupation situated between 1000 and 1400m, in the middle valley of the Chillón (department of Lima, Peru). The oldest traces of occupation are dating from the Early Horizon. This region has known also an important peopling at the Early Intermediate, at the late Intermediate and during the late Horizon.
The present study is divided in two parts : in the first one are analyzed the sites and the archaeological met ; in the second one, there is a discussion on the relations of the sites between them and with the others establishments of the valley.