bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent Environments and Assistive Technologies For Assisting Visually Impairment People: A Systematic Literature Review
Authors: de Souza Leandro Sossetti , Francisco Rosemary , Tavares João Elison da Rosa , Barbosa Jorge Luis Victória 
Published: September 2023

Abstract

Intelligent Environments (IE) refer to fisical spaces imbued with pervasive and seamless intelligence, created to proactively support individuals in their daily routines. Developments in technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) have taken these environments from theoretical notions to practical realities. Simultaneously, the field of Ambient Assisted Living (AAL) has made significant strides. Evolving from Assistive Technology (AT), AAL represents an application of IE that specifically seeks to enable individuals —especially those with disabilities or the elderly— to lead healthier, more independent, and dignified lives through the assistance of technology integrated within their living environments.
The confluence of IE and AAL has led to the rise of innovative solutions aimed at enhancing the lives of individuals with special needs,such as the Visually Impaired People (VIP). This research presents a systematic literature review investigating the utilization of IE, underpinned by AAL principles, in supporting VIPs.
Initially, a pool of 14,760 studies was obtained from 9 databases, all published up to December 2022. After applying specific inclusion and exclusion criteria, this pool was reduced to 101 articles. Each of these articles was reviewed, analyzed, and categorized into four functional and operating principle categories to address five research questions.
The study proposes multiple taxonomies as an approach to holistically synthesize the various technologies and devices categorized in the reviewed articles.
Emerging research challenges and trends in this domain are highlighted, with a substantial trend being the escalating use of Deep Learning (DL) techniques. These techniques have been pivotal in the development of systems focused on object detection, path recognition, and navigation for devices, particularly smartphones, geared towards enhancing the lives of VIPs.
Application of a new MDCKII-MDR1 cell model to measure the extent of drug distribution in vitro at equilibrium for prediction of in vivo unbound brain-to-plasma drug distribution.
Authors: Langthaler Kristine , Jones Christopher R , Saaby Lasse , Bundgaard Christoffer , Brodin Birger 
Published: September 2023

Abstract
Intro: Reliable estimates of drug uptake from blood to brain parenchyma are crucial in CNS drug discovery and development. While in vivo Kp,uu,brain estimates are the gold standard for investigating brain drug disposition, animal usage is a limitation to high throughput application. This study investigates an in vitro model using P-gp expressing MDCKII-MDR1 cells for predicting in vivo brain drug penetration.
Methods: In vitro equilibrium distribution studies were conducted in apical and basolateral solutions with high protein content to estimate Kp,brain and Kp,uu,brain values. The correlation between in vitro and in vivo Kp,brain values for a set of compounds was examined.
Results: We observed a good correlation between in vitro and in vivo Kp,brain values (R2=0.69, Slope: 1.6), indicating that the in vitro model could predict in vivo drug brain penetration. The ‘Uni-L’ in vitro setup correctly classified 5 out of 5 unrestricted compounds and 3 out of 5 restricted compounds. Possible reasons for the observed disparities for some compounds have been discussed, such as difference in transport areas between in vitro and in vivo settings and effect of pH changes.
Conclusion: The in vitro assay setup developed in this study holds promise for predicting in vivo drug brain penetration in CNS drug discovery. The correlation between in vitro and in vivo Kp,brain values, underscores that the model may have potential for early-stage screening. With minor refinements, this in vitro approach could reduce the reliance on in vivo experiments, accelerating the pace of CNS drug discovery and promoting a more ethical research approach.
Comparing Predictive Value of CT Perfusion and ASPECTS for Prognosis in Large core Patients Receiving Endovascular Therapy：Focusing on CTP-based Model Development
Authors: chang Yanting , Sui Yi , Lin Longting , Parsons Mark 
Published: September 2023

Abstract
Background and Purpose
—We aimed to compare the ability of non-contrast computed tomography Alberta Stroke Program Early CT Score (NCCT ASPECTS) with CT perfusion (CTP) combined clinical factors, in predicting functional outcome in large core patients who underwent EVT.
Methods
—Patients were retrospectively selected from International Stroke Perfusion Registry. We used manual NCCT ASPECTS and CTP MISTAR software to estimate ischemic status. Multivariate regression was conducted to determine independent predictors for unfavorable outcome. We then constructed a nomogram by incorporating these independent predictors. Receiver operating curve was calculated to determine its predictive value.
Results
—Fifty-five patients were included in the analysis. Unfavorable outcome was associated with ASPECTS and CTP in univariable analysis (P = 0.009 and P = 0.018, respectively). CTP was associated with unfavorable outcome in multivariable analysis (P = 0.02) while ASPECTS did not show significance. (P = 0.087). Multivariate logistic regression demonstrated that CTP ≥ 70mL (OR = 42.56, 95% CI 4.19 − 116.28), sex (OR = 10.55 95% CI 1.48 − 127.75), atrial fibrillation (OR = 39.60, 95% CI 3.48 − 116.23) and baseline NIHSS (OR = 9.70, 95% CI 1.76 − 80.72) were independent predictors for unfavorable outcome. CTP-combined model predicted unfavorable outcome with an AUC of 0.929 (95% CI: 0.87–0.99, P < 0.001, Se = 0.81, Sp = 0.89, PPV = 0.88, NPV = 0.83). The Hosmer − Lemeshow test showed the combined model was a good fit (P = 0.98).
Conclusions
—Relying solely on imaging to predict outcome is not reliable. Ischemic core volume assessed on CTP, combined with clinical indicators, is a better predicting tool for clinical outcome than ASPECTS-based model in patients with large infarct cores receiving EVT.
Color-changeable chewing gum indicates the type of masticable food
Authors: Yashiro Toshihiro , Wada Shinichi , Kawate Nobuyuki 
Published: September 2023

Abstract
Purpose: Masticatory performance is confirmed with color-changeable chewing gum that changes yellow-green to red when chewed. Previous studies have used a colorimeter to reveal the cut-off a* values of the gum’s color (a* represents the degree of color between red and green) to determine which foods are masticable (masticable meat, masticable soft side dish, and inadequate masticatory performance). Since a more convenient method is required, we examined the validity and reliability of visual measurement using the existing color scale to indicate masticable foods by observing the chewing gum’s color.
Methods: Fifty patients aged ≥ 65 years were enrolled. Using color-changeable chewing gum, three groups were formed according to the cut-off a* values: masticable meat, masticable soft side dish, and inadequate masticatory performance. For the color scale classification, one physiatrist and dietitian simultaneously, individually, visually determined the chewing gum color and classified it as belonging to one of the three groups. Criterion-related validity was evaluated using the kappa coefficient of agreement between the results from the two methods. Inter-rater reliability was examined using the kappa coefficient of agreement between the three groups judged by the two raters on a color scale.
Results: The kappa coefficients of the agreement for the classifications were 0.908 and 0.909 for the physiatrist and dietitian, respectively. The inter-rater agreement between two raters on the color scale was 0.938 for the kappa coefficient.
Conclusion: The color scale indicated the masticable foods without a colorimeter. This method can be useful in older adult facilities and homes.
Twitter Conversations on Sustainable Development Goals in Brazilian Public Universities Using Natural Language Processing
Authors: Costa Abimael de Jesus Barros , Gomes Sonia Maria da Silva , Kouloukoui Daniel , de Marcellis-Warin Nathalie , Warin Thierry 
Published: September 2023

Abstract
This study aims to provide insight into the behavior of Twitter conversations related to the Sustainable Development Goals (SDGs) by Brazilian public universities (UPBs) using Natural Language Processing (NLP). To achieve this goal, it was decided to develop descriptive research as it explores the characteristics of conversations focused on Twitter, one of the world's most used social media channels. Natural language processing (NLP) techniques based on the R programming language were used to extract and treat conversations held by the UPBs about the SDG objectives on Twitter. The study period is comprised of the creation of the first Twitter account by the universities until the data collection date, that is, between 2008 and 2022, therefore, 15 years of study, during this period, 326,114 tweets were identified. Evidence points to a substantial evolution in tweet publications by universities over the 15 years of studies. Thus, the practically zero publications in 2008 jumped to more than 15 thousand tweets in 2020. These findings show and confirm that universities use this social media to interact with their stakeholders. In addition, the results indicate that the analyzed universities make few publications on their Twitter about SDGs. In fact, of the 46 universities, only 6 tweeted about the subject, representing 13%. During the 15 years of studies, only 31 tweets were made on the subject. We found that the conversations and positions of universities on this subject in their social networks are few, insufficient, timid, and weak. As a second practical implication of this study, universities as centers of research, knowledge construction, and humanistic training urgently need to position themselves more on this subject in their social networks in order to demonstrate the relevance of the subject and inform about their accomplishments, and the need to everyone got involved in the theme.
Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Ocular Fluids to Assess Potential Biomarkers of Age-related Macular Degeneration
Authors: Guo Hanmu , Li Jianqing , Lu Peirong 
Published: September 2023

Abstract
Background: Age-related macular degeneration (AMD) is a significant cause of severe vision loss. The main purpose of this study was to identify mass spectrometry proteomics-based potential biomarkers of AMD that contribute to understanding the mechanisms of disease and aiding in early diagnosis.
Methods: Following PRISMA guidelines, a search was performed for studies that used mass Spectrometry (MS) proteomics approaches to identify proteomic differences between AMD patients and healthy control groups (PROSPERO database: CRD42023388093). Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes Pathway Analysis (KEGG) were performed on differentially expressed proteins (DEPs) in the included articles using the DAVID database. DEPs were included in a meta-analysis when their effect size could be computed in at least two research studies. The effect size for each measured protein was standardized to thelog2-fold change. Protein‒protein interaction (PPI) analysis was conducted on proteins that were statistically significant in the meta-analysis using the String online database.
Results: Eleven studies fulfilled the inclusion criteria, and 161 DEPs were identified. The GO analysis showed that AMD is closely associated with proteolysis, extracellular exosomeand protein binding. In KEGG, the most significant pathway was the complement and coagulation cascades. Meta-analysis results suggested that eight proteins were statisticallysignificant, and according to PPI results, the most significant four proteins were serotransferrin(TF), apolipoprotein A1 (APOA1), complement C3 (C3) and lipocalin-1 (LCN1).
Conclusions: Four possible biomarkers, TF, APOA1, C3 and LCN1, were found to be significant in the pathogenesis of AMD and need to be further validated. These proteins should be further studied in larger cohorts to evaluate their potential for disease diagnosis and intervention.
The Impact of Food Safety Incidents on Consumers’ Perceived Food Safety Risk: A Case Study of Jiangsu Province
Authors: Kuai Tingting , Xie Jian , Tang Shufeng 
Published: September 2023

Abstract
The article utilizes survey data from consumers in Jiangsu Province to quantitatively study the factors influencing consumers' perceived food safety risk after food safety incidents using an ordered Logit model. The research findings indicate that female consumers are more likely to worry about food quality and safety compared to male consumers. Age, education level, income, and consumer satisfaction with government and corporate emergency response measures also significantly affect consumers' perceived food quality and safety. Furthermore, consumers' occupation, knowledge of food safety, and perception of the safety of alternative products also influence their perceived food quality and safety.
Bio-Emulsion Liquid Membrane (Bio-ELM) Synthesis, by using seven different vegetable oils for wastewater treatment
Authors: Wakle Manisha , Khuntia Snigdha 
Published: September 2023

Abstract
Generally, Emulsion Liquid Membrane (ELM) consists of two phases the first one is the mobile phase consists of three components surfactant, carrier, and diluent. The second phase is an internal phase which consists of a stripping agent. In ELM use of bio-based materials can make membranes environmentally friendly called Bio-Emulsion Liquid Membrane (Bio-ELM). The utilization of Bio-ELM, for dye removal from aqueous solution. In this work, an emulsifier/surfactant span80, carrier n-heptane, and diluent jojoba, clove, sesame, soybean, olive, rosemary, and peppermint oil were used. Jojoba oil-based ELM removed maximum methylene blue dye as compared with other oils, so throughout work, jojoba oil ELM was used. Influence of operating conditions that affect Bio-ELM performance; Effect of surfactant concentration, carrier and stripping agent concentration, emulsification time, treat ratio, stirring speed, etc. together with initial dye concentration were investigated.
Autism Spectrum Disorder prevalence in Italy: A nationwide study promoted by the Ministry of Health
Authors: Scattoni Maria Luisa , Fatta Laura Maria , Micai Martina , Sali Maria Enrica , Bellomo Marina , Salvitti Tommaso , Fulceri Francesca , Castellano Angela , Molteni Massimo , Gambino Giovanna , Posada Manuel , Romano Giovanna , Puopolo Maria 
Published: September 2023

Abstract
Background
This nationwide study aimed to estimate Autism Spectrum Disorder (ASD) prevalence in 7 to 9-year-old Italian children. Promoted by Italy's Ministry of Health and coordinated by the National Observatory for Autism at the National Institute of Health, it covered schools in northern (Lecco and Monza-Brianza), central (Rome and its province), and southern (Palermo and its province) regions from February 24, 2016, to February 23, 2018, using a multi-stage approach defined by the European Union's ASD network.
Methods
Phase one identified ASD-diagnosed children in mainstream schools through local Ministry of Education (MoE) disability registries. Phase two had a subset of schools screen 7 to 9-year-olds using the Social Communication Questionnaire-Life version (SCQ-L). Those with SCQ-L scores of 15 + underwent clinical consultation for ASD symptoms, cognitive abilities, and life skills. To counter potential false negatives, 20% scoring 11 to 14 were randomly assessed via Autism Diagnostic Interview-Revised (ADI-R).
Results
MoE data revealed 9.8 per 1,000 certified ASD children in the north, 12.2 in the central, and 10.3 in the south. In phase two, 35,823 SCQ-L questionnaires were distributed across 198 schools (northern: 11,190 in 49 schools, central: 13,628 in 87 schools, southern: 11,005 in 62 schools). Of SCQ-L respondents, 2.4% (n = 390) scored above the 15 cutoff. Among these, 100 had ASD diagnoses, 50 had other diagnoses. Among 115 families assessed, 16.5% (n = 19) received ASD diagnoses.
Conclusions
Conclusions: The estimated prevalence of ASD in Italy was 13.4 (11.3–16.0) per 1,000 children aged 7–9 years, with a male-to-female ratio of 4.4:1. It will guide national policies in emhancing services tailored to the specific needs of autistic children.
“We help people change harmful norms”: Working with key opinion leaders to influence MNCH+N behaviors in Nigeria.
Authors: Adetunji Adetayo , Etim Eno-Obong E. , Adediran Mayokun , Bazzano Alessandra N. 
Published: September 2023

Abstract
Background: Nigeria’s Maternal, newborn, and child health and nutrition (MNCH+N) outcomes rank among the world’s poorest. Engaging traditional and religious leaders shows promise in promoting related behaviors. The Breakthrough ACTION/Nigeria project worked with leaders in northern Nigeria to implement the Advocacy Core Group (ACG) model, a social and behavior (SBC) approach aimed at influencingcommunity norms and promoting uptake of MNCH+N behaviors. Qualitative assessment of the model contributes to evidence on SBC approaches for enhancing integrated health behaviors.
Methodology: This qualitative study was conducted in Nigeria's Bauchi and Sokoto states in May 2021. It involved 51 in-depth interviews and 24 focus group discussions. The study was grounded in the social norms exploration (SNE) technique to examine normative factors influencing behavior change within the ACG model context. Data analysis used a reflexive thematic analysis approach. Ethical approvals were received from all involved institutions and informed consent was obtained from participants.
Results: The ACG model was vital in the uptake of MNCH+N behaviors. The influence of ACG members varied geographically with greater impact observed in Sokoto State. Normative barriers to improving MNCH+N outcomes included perceived religious conflicts with family planning, preference for traditional care in pregnancy, misinformation on exclusive breastfeeding (EBF), and gender-based violence resulting from women's decision-making. The study demonstrated positive progress in norm shifting, but EBF and GBV norms showed slower changes. Broader challenges within the health system, such as inadequate services, negative attitudes of healthcare providers, and workforce shortages, hindered access to care.
Conclusion: The ACG model increased awareness of health issues and contributed to potential normative shifts. However, slower changes were observed for EBF and GBV norms and broad health system challenges were reported. The model appears to be a promising strategy to further drive SBC for better health outcomes, especially where it is combined with supply-side interventions.
Construction and validation of a nomogram for predicting lateral lymph node metastasis in Pediatric and Adolescent with differentiated thyroid carcinoma
Authors: Dan Jiaqiang , Tan Jingya , Guo Yao , Xu Yang , Zhou Lin , Huang Junhua , Yuan Zhiying , Ai Xiang , Li Junyan 
Published: September 2023

Abstract
Background
In the pediatric and adolescent populations, the occurrence of lateral lymph node metastasis (LNM) in cases of differentiated thyroid carcinoma (DTC) is a significant risk factor associated with unfavorable prognosis. However, limited research has been conducted to specifically investigate the identification of risk factors and the development of prediction models for lateral LNM in DTC among the pediatric and adolescent populations.
Methods
In this study, we conducted a retrospective analysis of the clinical characteristics of pediatric and adolescent patients diagnosed with DTC. The data was obtained from the Surveillance, Epidemiology, and End Results (SEER) database for the period between 2000 and 2020. Additionally, we included patients treated at the Departments of Breast and Thyroid Surgery in the Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine and The General Hospital of Western Theater Command from 2010 to 2020.
Results
A cohort of 2,631 patients from the SEER database, along with an additional 339 patients from our departments who met the specified inclusion criteria, were included in this study. Subsequently, four clinical variables, namely age, tumor size, multifocality, and extrathyroidal invasion, were identified as being significantly associated with lateral LNM in pediatric and adolescent patients with DTC. These variables were then utilized to construct a nomogram, which demonstrated effective discrimination with a concordance index (C-index) of 0.731. Furthermore, the performance of this model was validated through both internal and external assessments. yielding C-index values of 0.721 and 0.712, respectively. Afterward, a decision curve analysis was conducted to assess the viability of this nomogram in predicting lymph node metastasis.
Conclusion
The present study successfully developed a nomogram model based on visualized multipopulationsal data. Our findings indicate that several clinical characteristics are significantly correlated with lateral LNM in pediatric and adolescent DTC patients. These results have important implications for clinicians, as they can utilize this model to make personalized clinical decisions for pediatric and adolescents populations.
Effect of physical exercise on sleep quality of college students: The intermediary role of Mobile phone Addiction
Authors: Zhou NaiRun , Huang YuanLing , Zou XiaoJu 
Published: September 2023

Abstract
Background: The low sleep quality of college students due to excessive use of cell phones has become a social health problem. Physical exercise has been emphasized by the public as an effective means to reduce mobile phone addiction and improve sleep quality. Therefore, this study explored the mediating role of mobile phone addiction in the effect of physical exercise on college students' sleep quality.
Methods: Using a convenience random sampling method, Five colleges and universities in Guangzhou City were selected, and two classes in each college and university were randomly chosen to select survey subjects, The mobile phone addiction index scale, sleep quality scale, and physical exercise scale were used to conduct the survey, and the final questionnaire of 538 valid subjects was analyzed.
RESULTS： Correlation analysis showed that college students' mobile phone addiction was significantly positively correlated with sleep quality (r=0.24, P＜0.001) and negatively correlated with physical exercise (r=-0.109, 0.01＜P＜0.05). Sleep quality showed a significant negative correlation with physical exercise(r =-0.157, P＜0.001). The mediating effect test showed that mobile phone addiction partially intermediaries the effect between physical exercise and sleep quality, with an intermediating effect value of 15.42%.
Conclusion: Physical exercise can directly affect the sleep quality of college students, and also indirectly affect the sleep quality of college students by reducing their mobile phone addiction.