bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship of Self-Reported Physical Activity with Cognition in Middle-
Aged Adults
Authors: Pachava Srinivasa Rao , Shenoy Shweta 
Published: November 2023

Objective:
The increasing prevalence of age-related cognitive decline highlights the
importance of physical activity for cognitive health. Regular exercise has been associated with
improved mental health and reduced risk of cognitive decline. This study investigated the connection
between self-reported physical activity and cognitive function in middle-aged adults.

Methods:
This cross-sectional study included 56 Indian adults aged 30-55, selected based on a
health screening questionnaire. Participants reported their physical activity using the International
Physical Activity Questionnaire-Short Form (IPAQ-SF), which categorized them into low,
moderate, and high activity levels. Cognitive functions, including visual memory, executive
function, and attention, were assessed using the Cambridge Neuropsychological Automated Testing
Battery (CANTAB). Results were statistically analyzed for relationships between cognitive
domains and physical activity parameters using Pearson’s correlation and linear regression analysis.

Results:
The study showed a significant positive correlation of attention with moderate and vigorous
physical activity, while sedentary behavior negatively impacted attention. Linear regression
showed that attention is affected by moderate-intensity activity whereas executive function
and visual memory are affected by age.

Conclusion:
This study supports the view that moderate and vigorous intensity activities may positively
affect attention in middle-aged adults highlighting the benefits of physical activity.
Exploring the Efficacy of Traditional Herbs in Combating COVID-19: A
Comprehensive Review
Authors: Sao Anil , Nimbekar Tulsidas , Venkateswarlu Garla , Mishra Mohit , Kate Aditya , Chauhan Meenakshi Kanwar , Chakole Chandrashekhar Mahadeo 
Published: November 2023

Background:
The entire world witnessed the COVID-19 pandemic outbreak. It has become
deadly everywhere across the globe. COVID-19 mortality varies across age groups and has
been linked to an individual's innate immunity. In contrast, it was more lethal in immunocompromised
people. The spread of viruses is slowed by both passive immunity and vaccine-aided acquired
immunity. However, vaccine-induced immunity is transient, and there is no assurance that vaccinemediated
antibodies will be effective against all future virus mutants. As a result, natural immunity
boosters have become essential supplements that must be used nowadays to stay immunized against
such infections. In Ayurvedic medicine, traditional Indian spices have been used for a long time to
boost the immune system and fight off different diseases.

Objective:
This review aims to disseminate information about traditional natural medicine in repurposing
as an immunity booster and for antiviral effects in COVID-19.

Methods:
Using published articles from recent years, the in silico docking study, survey-based study,
and in vitro and preclinical research work on selected traditional herbs for their anti-inflammatory,
immunomodulating, and antiviral properties are summarized. Withania somnifera, Piper nigrum,
Emblica officinalis, Andrographis paniculate, Glycyrrhiza glabra, Ocimum sanctum, Piper longum,
and Curcuma longa are some of the most commonly used natural spices studied extensively and
hence selected in this review.

Results:
This context summarizes selected plants showing immunomodulatory and antiviral effects
in experimental animals, simulation, and clinical studies.

Conclusion:
By virtue of antiviral potential, the chosen herbs could be used for repurposing in
COVID-19 management after thorough clinical investigations.
Use of Assistive Technology for Persons with Psychosocial Disability: Systematic Review
Authors: Ebuenyi Ikenna D , Flocks-Monaghan Celina , Rai Sarju S , Vries Ralph de , Bhuyan Soumitra S , Pearlman Jonathan , Jones Nev 
Published: November 2023

Background
Assistive technology (AT) refers to assistive products (AP) and associated systems and services that are relevant for function, independence, well-being, and quality of life for individuals with disabilities. There is a high unmet need for AT for persons with disabilities and this is worse for persons with cognitive and mental or psychosocial disabilities (PDs). Further, information and knowledge on AT for PDs is limited.

Objective
The aim of this review was to explore the pattern of AT use among persons with PDs and its associated socioeconomic and health benefits.

Methods
The review was reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), and we conducted systematic searches in the 4 databases: PubMed, Embase.com, APA PsycInfo (Ebsco), and Web of Science (Core Collection) with the following index terms: “Assistive Technology,” “Self-Help Devices,” “Quality of Life,” “Activities of Daily Living,” “Mental Disorders.” We included only AT individuals with PDs can independently use without reliance on a provider. Identified papers were exported to EndNote (Clarivate) and we undertook a narrative synthesis of the included studies.

Results
In total, 5 studies were included in the review which reported use of different AT for schizophrenia, bipolar disorder, depression and anxiety disorders. The APs described in the included studies are Palm tungsten T3 handheld computer, MOBUS, personal digital assistant, automated pill cap, weighted chain blankets, and smartphone function. All the AT products identified in the studies were found to be easily usable by individuals with PDs. The APs reported in the included studies have broad impact and influence on social function, productivity, and treatment or management. The studies were heterogeneous and were all conducted in high-income countries.

Conclusions
Our study contributes to and strengthens existing evidence on the relevance of AT for PDs and its potential to support socioeconomic participation and health. Although AT has the potential to improve function and participation for individuals with PDs; this review highlights that research on the subject is limited. Further research and health policy changes are needed to improve research and AT service provision for individuals with PDs especially in low-income settings.

Trial Registration
PROSPERO CRD42022343735; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=343735
Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study
Authors: He Yupeng , Matsunaga Masaaki , Li Yuanying , Kishi Taro , Tanihara Shinichi , Iwata Nakao , Tabuchi Takahiro , Ota Atsuhiko 
Published: November 2023

Background
In Japan, challenges were reported in accurately estimating the prevalence of schizophrenia among the general population. Retrieving previous studies, we investigated that patients with schizophrenia were more likely to experience poor subjective well-being and various physical, psychiatric, and social comorbidities. These factors might have great potential for precisely classifying schizophrenia cases in order to estimate the prevalence. Machine learning has shown a positive impact on many fields, including epidemiology, due to its high-precision modeling capability. It has been applied in research on mental disorders. However, few studies have applied machine learning technology to the precise classification of schizophrenia cases by variables of demographic and health-related backgrounds, especially using large-scale web-based surveys.

Objective
The aim of the study is to construct an artificial neural network (ANN) model that can accurately classify schizophrenia cases from large-scale Japanese web-based survey data and to verify the generalizability of the model.

Methods
Data were obtained from a large Japanese internet research pooled panel (Rakuten Insight, Inc) in 2021. A total of 223 individuals, aged 20-75 years, having schizophrenia, and 1776 healthy controls were included. Answers to the questions in a web-based survey were formatted as 1 response variable (self-report diagnosed with schizophrenia) and multiple feature variables (demographic, health-related backgrounds, physical comorbidities, psychiatric comorbidities, and social comorbidities). An ANN was applied to construct a model for classifying schizophrenia cases. Logistic regression (LR) was used as a reference. The performances of the models and algorithms were then compared.

Results
The model trained by the ANN performed better than LR in terms of area under the receiver operating characteristic curve (0.86 vs 0.78), accuracy (0.93 vs 0.91), and specificity (0.96 vs 0.94), while the model trained by LR showed better sensitivity (0.63 vs 0.56). Comparing the performances of the ANN and LR, the ANN was better in terms of area under the receiver operating characteristic curve (bootstrapping: 0.847 vs 0.773 and cross-validation: 0.81 vs 0.72), while LR performed better in terms of accuracy (0.894 vs 0.856). Sleep medication use, age, household income, and employment type were the top 4 variables in terms of importance.

Conclusions
This study constructed an ANN model to classify schizophrenia cases using web-based survey data. Our model showed a high internal validity. The findings are expected to provide evidence for estimating the prevalence of schizophrenia in the Japanese population and informing future epidemiological studies.
High School Teachers’ Experiences of Consumer Technologies for Stress Management During the COVID-19 Pandemic: Qualitative Study
Authors: Manning Julia B , Blandford Ann , Edbrooke-Childs Julian 
Published: November 2023

Background
Stress in education is an adverse reaction that teachers have to excessive pressures or other types of demands placed on them. Consumer digital technologies are already being used by teachers for stress management, albeit not in a systematic way. Understanding teachers’ experiences and the long-term use of technologies to support stress self-management in the educational context is essential for meaningful insight into the value, opportunity, and benefits of use.

Objective
The aim of this study was first to understand teachers’ experiences of consumer technologies for stress management. They were chosen by teachers from a taxonomy tailored to their stress management. The second aim was to explore whether their experiences of use evolved over time as teachers transitioned from working at home during lockdown to working full time on school premises.

Methods
A longitudinal study intended for 6 weeks in the summer term (2020) was extended because of COVID-19 into the autumn term, lasting up to 27 weeks. Teachers chose to use a Withings smartwatch or the Wysa, Daylio, or Teacher Tapp apps. In total, 2 semistructured interviews and web-based surveys were conducted with 8 teachers in South London in the summer term, and 6 (75%) of them took part in a third interview in the autumn term. The interviews were analyzed by creating case studies and conducting cross-case analysis.

Results
The teachers described that the data captured or shared by the technology powerfully illustrated the physical and psychosocial toll of their work. This insight gave teachers permission to destress and self-care. The social-emotional confidence generated also led to empathy toward colleagues, and a virtuous cycle of knowledge, self-compassion, permission, and stress management action was demonstrated. Although the COVID-19 pandemic added a new source of stress, it also meant that teachers’ stress management experiences could be contrasted between working from home and then back in school. More intentional self-care was demonstrated when back in school, sometimes without the need to refer to the data or technology.

Conclusions
The findings of this study demonstrate that taking a situated approach to understand the real-world, existential significance and value of data generates contextually informed insights. Where a strategic personal choice of consumer technology is enabled for high school heads of year, the data generated are perceived as holistic, with personal and professional salience, and are motivational in the educational context. Technology adoption was aided by the pandemic conditions of home working, and this flexibility would otherwise need workplace facilitation. These findings add to the value proposition of technologies for individual stress management and workforce health outcomes pertinent to educators, policy makers, and designers.
Total arch extrusion with skeletal anchorage to improve inadequate maxillary incisor display in a case of vertical maxillary deficiency
Authors: Liaw Johnny J. L. , Park Jae Hyun , Tsai Fang Fang , Tsai Betty M. Y. , Liao Wendy W. T. 
Published: November 2023

ABSTRACT
Inadequate maxillary incisor display can negatively impact facial esthetics. Various treatment options exist depending on the underlying cause and severity of the condition. Skeletal anchorage was used to extrude the maxillary dentition and rotate the mandible backward, enhancing visibility of the maxillary incisors. An extrusion assembly was introduced to achieve orthodontic extrusion. Use of bite raisers and interarch elastics was also discussed. Treatment results demonstrated successful achievement of the treatment goals. In addition to optimal occlusion, the patient’s facial profile improved with increased lip fullness. There was an increase in vertical facial height, and maxillary incisor display was significantly improved, resulting in a more pleasant smile. Two-year postretention records evidenced the stability of total arch extrusion to improve maxillary incisor display.
Using open-source software GRASS GIS for analysis of the environmental patterns in Lake Chad, Central Africa
Authors: Lemenkova Polina 
Published: November 2023

Summary
Lake Chad, situated in the semi-arid region of African Sahel, plays a vital role in hydrogeological balance of regional ecosystems. It presents an essential water source and provides a habitat for rare wildlife species including migrating waterbirds. However, the lake has shrunk significantly since the 1960s and has continued to reduce in size and extent during recent decades. Trends in drying and shrinking of Lake Chad are caused by environmental factors and changed climate. The desiccation of the lake is threatening environmental sustainability. This study focused on identification of changes in the Chad Lake area, wetland extent, and associated land cover types. The methods include the Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS) for remote sensing data classification. The maximum likelihood discriminant analysis classifier was applied for analysis of multispectral Landsat 8–9 OLI/TIRS images in 2013, 2017, and 2022. Detected changes in land cover types reflect variations in water balance and wetland area and extent around Lake Chad over recent decades. Cartographic scripting tools of GRASS GIS provide an efficient method of digital image processing for monitoring endorheic lakes of Central Africa. GRASS GIS methods provide an opportunity to automatically classify Earth observation data with cartographic scripts for environmental monitoring.
Increasing Sustainability in Auckland Road Construction by Using Plastic Waste
Authors: Asrani Manoj R. , Kularatne Indrapriya 
Published: November 2023

Abstract
The purpose of this paper is to explore the use of plastic waste to increase the sustainability of road construction in Auckland. An exploratory research strategy was used based on interviews conducted with infrastructure company and waste management company managers, road construction practitioners, academic experts relevant to the roading industry and technical personnel. Thematic analysis was used to analyse the data for insights. There are some concerns regarding the quality and performance of roads affecting socio-sustainability, for which research is advised from the Auckland perspective. Research is recommended in the subject of recycling other waste material such as glass and rubber into roading all over New Zealand (NZ). Moreover, research is recommended specifically for walking and cycling tracks, which is a focus of the Auckland Council currently. The infrastructure companies and the Auckland Council must work together for incorporating plastic waste in roading. Companies can achieve higher sustainability as they will make a profit by saving costs, benefit the society by providing better quality and performance of roads and help the environment by green manufacturing. By using plastic waste, the Auckland Council can meet the targets of decarbonising the transport in Auckland by the year 2040; this is also a step towards the NZ targets of the 2030 Sustainable Development Goals.
Sampling Bias Worsen the Predictive Ability of Niche Models
Authors: Pires-Oliveira João Carlos , Bampi Hugo , Lima-Ribeiro Matheus Souza , Eisenlohr Pedro Vasconcellos 
Published: November 2023

Purpose: Ecological Niche Modeling (ENM) and Species Distribution Modeling (SDM) have become powerful tools in biology, biogeography, paleoecology and biodiversity conservation. ENM and SDM are evaluated using metrics that take into account the errors and successes of the models in predicting the presence or absence of species in certain locations. Here, we evaluate the effects of sampling bias on the relationship between evaluative metrics and the predictive capacity of models.

Theoretical framework: ENM and SDM are powerful tools with extensive potential for use, but in order for them to produce useful results, they need to be constructed and validated appropriately. The occurrence data used in both processes may not have been collected randomly, which can lead to issues. An investigation into potential problems arising from the use of non-randomly collected occurrence data is necessary, as new issues may arise from simply filtering the data and reducing the number of occurrence records.

Material and Methods: We use Virtual Species (VS) to evaluate the effect of sampling bias. Using VS is the most robust approach for this type of testing, as we know the entire VS distribution.

Results and conclusion: Our results showed that sampling bias reduces the predictive capacity of the ENM and SDM models. We did not find a consistent pattern of the effect of sampling bias on the relationship between evaluation metrics and the predictive capacity of models. The effect size varied between different bias intensities. We emphasize that reducing the strength of the bias is one of the most efficient ways to minimize this problem.
Innovations in Real Estate Enterprises in the New Development Hubs of the Metropolis of Recife
Authors: Souza Maria Angela de Almeida , Ferragut Bárbara Góes Biúm , De Lima Janaina Aparecida Gomes 
Published: November 2023

Purpose: This article aims to characterize the innovations introduced in real estate projects implemented in new centers of development in the metropolis of Recife, attracted by changes arising from the economic dynamization encouraged by means of large industrial and real estate projects by the state government in municipalities located farther from its central hub - Recife.

Theoretical framework: The text bases itself on research on real estate dynamics based on broader studies on housing provision, characterizing changes in the real estate development adopted by the private business sector through its linkage to financial capital.

Method: In addition to the bibliographic review, it highlights the impact of the expansion of the real estate sector to the peripheral municipalities in the new development poles of the Recife Metropolitan Region, based on the typological and innovation survey. It also proceeded to the geoprocessing of the referred enterprises, systematized in quantitative tables.

Results and conclusion: It highlights, as a result, the implications caused by these developments, either by the expansion of the housing supply caused, or by the socio-spatial changes caused, especially in its surroundings, resulting from the proposed innovations.

Research implications: The findings of this research points to greater pressure on municipal public authorities to change their territorial planning instruments, transforming rural and peri-urban areas into new areas of urban expansion.

Originality/value: This study presents advances in understanding the process of expansion of real estate investments in peripheral metropolitan centers through the diffusion of new housing standards, especially planned neighborhoods/cities.
Efektifitas Layanan Bimbingan Kelompok dengan Teknik Assertive Training untuk Meningkatkan Self Esteem siswa
Authors: Hana Fatimah  , , Fadhila Malasari Ardini  , Devi Nurul Fikriyani  
Published: November 2023

Tujuan penelitian ini adalah untuk mengetahui adanya keefektifan layanan bimbingan kelompok dengan teknik assertive training untuk meningkatkan self esteem siswa. Pendekatan yang digunakan yaitu pendekatan kuantitatif. Jenis penelitiannya quasi eksperimen. Desain penelitian nonequivalent control group design. Populasi dalam penelitian ini adalah siswa kelas XI SMA Negeri 9 Pandeglang Tahun Ajaran 2023/2024 sebanyak 144 siswa. Pengambilan sampel menggunakan sampling purposive berjumlah 24 orang, kemudian dibagi menjadi 2 kelompok, yaitu kelompok eksperimen yang berjumlah 12 orang dan kelompok kontrol berjumlah 12 orang. Metode pengumpulan data menggunakan angket, observasi dan dokumentasi. Teknik analisis data menggunakan analisis statistik deskriptif presentase dan analisis statistik uji t (t-test). Hasil penelitian menunjukkan bahwa penghitungan pada post test kelompok eksperimen diperoleh nilai signifikan atau sig = 0.004, yang berarti lebih kecil dari α = 0.05 atau dengan kata lain p = 0.004 < 0.05. Hasil simpulan ada keefektifan layanan bimbingan kelompok dengan teknik assertive training untuk meningkatkan Self Esteem siswa.
Medios diagnósticos digitales en ortodoncia y cirugía ortognática
Authors: Rosero Karim 
Published: November 2023

En el presente artículo se hace una revisión de la evolución en el uso de los computadores en Ortodoncia, enfocándose a los medios diagnósticos imagenológicos digitales, y su aplicación a la práctica profesional. El objetivo es brindar al especialista una introducción a los medios diagnósticos digitales que en la actualidad se está convirtiendo en la principal herramienta para el manejo personalizado con el paciente y el grupo profesional de trabajo. Se sintetizan las características esenciales tanto del hardware como del software requerido para tener acceso a esta forma de manejo diagnóstico computarizado.