bluuebunny/crossref_metadata_2025_split huggingface dataset:
What do Emergency Department Pharmacist Practitioners know and understand about patient safeguarding?
Authors: Greenwood Daniel , Steinke Douglas , Martin Sandra , Norton Gary , Tully Mary 
Published: July 2023

Abstract
Background
Pharmacists with additional clinical skills now work in UK emergency departments. Known as Emergency Department Pharmacist Practitioners, the role was developed in response to a shortage of doctors and nurses. They carry out activities typical of traditional hospital pharmacists, but also novel ‘practitioner’ activities such as examining patients, and acting as designated care provider. The role includes a responsibility to safeguard patients from harm. Professional competence, i.e. to safeguard patients, is underpinned by knowledge of the subject, but also the ability to apply that knowledge.
Objective
To investigate what Emergency Department Pharmacist Practitioners know and understand about safeguarding vulnerable children and adults.
Methods
Emergency Department Pharmacist Practitioners were interviewed to explore their knowledge and understanding of safeguarding. Interview questions were developed from review of relevant literature, as were vignettes with variables identified and altered to produce different scenarios. Template analysis was used to code data to a priori themes for each of the stages of the initial safeguarding process, and new themes that emerged throughout the process.
Results
Six themes were identified in addition to the four a priori themes. Overall, participants frequently described how safeguarding concerns are both recognised and responded to, but seemed more comfortable when responding to medicines related concerns. Factors thought to influence the safeguarding process included: resources and setting; and education, training and experiential learning; and culture.
Conclusions
While Emergency Department Pharmacist Practitioners interviewed were aware of the safeguarding process, there were some misconceptions as to the roles of different health workers.
Geothermal energy potentiality modeling using GIS-based machine learning algorithm concept in Southwestern Nigeria: insights from geophysical and remote sensing data sets
Authors: Mogaji KEHINDE ANTHONY , Adeniyi Oluwafemi Tolulope , KOMOLAFE AKINOLA ADESUJI 
Published: July 2023

Abstract

The paucity of energy orchestrated by the demerits of non-renewable energy sources has posed significant challenges to global demand for energy. Salvaging this difficulty, geothermal renewable energy resource is considered as an alternative. This study investigated the effectiveness of a GIS-based machine learning algorithm to analyze remote sensing and geophysical datasets to address this task. The acquired remote sensing dataset was processed to derive surface-induced geothermal conditioning factors (GCFs): land use land cover, normalized difference vegetation index, lineament density, land surface temperature, and slope percent. Spectral analysis was carried out on aeromagnetic data to derive sub-surface induced GCFs, including Curie point depth, heat flow, and geothermal gradient. Geospatial analysis module, the thematic maps for the GCFs were produced in a GIS environment. With MATLAB program coding, the optimized weights for the produced GCFs thematic maps were determined using machine learning algorithms by applying adaptive neuro-fuzzy inference system (ANFIS) models incorporated with metaheuristic optimization mechanisms. The output of various metaheuristic optimization algorithms, such as Genetic Algorithm (GA), Invasive Weed Optimization (IWO), and Particle Swarm Optimization (PSO), was processed in the GIS platform to create maps of the geothermal potential predictive index (GPPI) for the study area. Receiver Operating Characteristics (ROC) curve, Root Mean Square Error (RMSE), and multifaceted geology were used to validate the produced GPPI model maps. The multifaceted geology approach validation results revealed that a high probability of geothermal manifestation predominates the Ifewara shear zone. The results of the ROC-AUC on the optimized ANFIS models, namely: IWO-ANFIS, GA-ANFIS, and PSO-ANFIS, are 77.2%, 81.1%, and 77.5%, respectively, compared to 73.5% from the ANFIS model. The observed RMSE validation results also determined the prediction values of 0.041803, 0.10281, and 0.10734 for IWO-ANFIS, GA-ANFIS, and PSO-ANFIS compared to 0.021803 for the conventional ANFIS model. The GA-ANFIS model performed better than all investigated machined learning algorithm models. The study shows that the GPPI model map created by GA-ANFIS could be employed for accurate decision-making in geothermal resource exploitation in the investigated area and other regions with comparable geologic terrain.
Incorporating Objective Measures of Sedentary Behaviour Into the Detection and Control Methods of Type 2 Diabetes Mellitus in Office Employees: Development of a Mathematical Model for Clinical Practice.
Authors: Alòs Francesc , Puig-Ribera Anna , Bort-Roig Judit , Chirveches-Pérez Emilia , Martín-Cantera Carlos , Franch-Nadal Josep , Colomer Mª Àngels 
Published: July 2023

Abstract

Introduction
: Type 2 diabetes mellitus (DM2) is one of the main public health threats of the 21st century. Identifying and predicting DM2 is the first step to stop its progression, and new strategies with low-cost, non-invasive early detection systems must be urgently implemented. Sedentary behaviour (SB) is one of the risk factors leading to the current increase in the prevalence of DM2, so incorporating the SB pattern into the detection methods of DM2 is essential.
Objective
To develop a simple mathematical model for clinical practice that allows early identification of office employees with a diagnosis of DM2 or at risk of presenting it, based on objective measurements of the SB pattern, hours of sleep and anthropometric variables.
Methods
Cross-sectional study. Anthropometric variables (sex, age and body mass index, BMI), sleep time (hours) and the SB pattern (sedentary breaks and time spent in sedentary bouts with four different lengths) of two groups of office employees (adults with and without diabetes) were measured and compared using the ActivPAL3M device. Eighty-one participants had DM2 and 132 had normal glucose metabolism (NGM). The risk of having DM2 was modelled using a generalised linear model (GLM), selecting the variables that presented a significant correlation with DM2.
Results
The DM2 prediction model used five non-invasive clinical variables -sex, age, BMI, sleep time (hours) and sedentary breaks < 20 minutes (number/day) – related to the SB pattern. The validated model correctly classified 88.89% of the participants. The model correctly classified all the office employees with NGM and 77% of office employees with DM2. It also allowed, based on the anthropometric profile of the participant, the design of a preventive tool to modify the SB pattern of office employees with DM2.
Conclusion
Understanding SB patterns by means of mathematical models could be a simple application solution for the early identification of office employees with DM2 in clinical practice. Incorporating an algorithm that contains a mathematical expression in wearable devices for monitoring the SB pattern could promote the early detection and comprehensive control of DM2 in clinical practice.
Relationship between physical activity and risk of depression in a married group
Authors: Ni Rong J. , Yu Ying 
Published: July 2023

Abstract
OBJECTIVE: To understand the relationship between physical activity behavior and depression risk in the married group from the perspective of gender differences.
METHODS: The 15,607 married people in the China Family Tracking Survey 2020 (CFPS 2020) were used to investigate the relationship between physical activity and depression risk among different groups of people in marriage.
Results: There were 527 (6.64%) women at high risk of depression, of whom 417 (7.71%) had no exercise habits, and 365 (4.76%) men at high risk of depression, of whom 279 (5.56%) had no exercise habits; physical exercise habits could influence the risk of depression among those in marriage, and after controlling for the relevant variables, physical exercise was negatively associated with the risk of depression among women (OR=0.5). After controlling for the relevant variables, physical activity was negatively associated with the risk of depression in women (OR=0.65, p<0.001), but not in men (OR=0.79, p>0.05).
Conclusion:Physical activity moderates the risk of depression in married women, but is not directly associated with the risk of depression in married men.
The Effect of Land Use and Land Cover Changes on Soil Erosion in Semi-arid Areas Using Cloud-based Google Earth Engine Platform and GIS-based RUSLE Model
Authors: Nourizadeh Maryam , Naghavi Hamed , Omidvar Ebrahim 
Published: July 2023

Abstract

Soil erosion has recently attracted the attention of researchers and managers as an environmental crisis. One of the effective factors in soil erosion is land use/land cover change (LU/LCC). Use of satellite imagery is a method for generating LU/LCC maps. Recently, Google has launched the cloud-based Google Earth Engine (GEE) platform, which enabled the processing of satellite images online. Accordingly, the purpose of the present study is to investigate the effect of LU/LCC on soil erosion in a semi-arid region in the south-west of Iran. LU/LCC map was prepared over a period of 30 years (1989–2019) using a new approach and classification of the Normalized Difference Vegetation Index (NDVI) index time series on the GEE. For classifying the NDVI time series, a non-parametric Support Vector Machine (SVM) classification method was employed. The LU/LC maps were also used as an input factor in the soil erosion estimation model. The amount of soil erosion in the region was estimated using the Revised Universal Soil Loss Equation (RUSLE) empirical model in the Geographical Information System (GIS) environment. Validation of LU/LC maps generated in GEE indicated overall accuracy higher than 86% and the kappa coefficient higher than 0.82. The study of LU/LCC trends showed that the area of ​​forests, pastures, and rock outcrop in the region has diminished, but the area of ​​agricultural and man-made LUs has been expanded. Also, the highest rate of LU/LC conversion was related to the conversion of forests to agricultural lands. Estimating the amount of soil erosion in the region using the RUSLE model revealed that the average annual erosion in 1989 and 2019 was 15.48 and 20.41 tons per hectare, respectively, which indicates an increase of 4.93 tons in hectares, while the hot spots of erosion in the area have increased at the confidence levels of 90, 95, and 99%. Matching the LU/LCC map with the soil erosion map indicated that the degradation of forests and their conversion to agricultural lands had the greatest impact on increasing soil erosion. Based on the findings, we can conclude that GEE, as an online platform, has a high capability in preparing LU/LC maps and other effective factors in soil erosion estimation models.
Study on the influencing factors of postpartum quality of life in women with heart disease
Authors: liu jialin , wang qi , qu dongying 
Published: July 2023

Abstract
Background: Heart disease women's quality of life (QoL) has been neglected. To improve clinical communication and treatment, we integrated medical data and subjective characteristics to study postpartum QoL concerns.
Methods: The study assessed QoL six weeks after birth using the 12-Item Short-Form Health Survey (SF-12). The Edinburgh Postnatal Depression Scale (EPDS), Cardiac Anxiety Questionnaire (CAQ), European Heart Failure Self-Care Behavior Scale (EHFScBS), and a self-designed questionnaire based on earlier research were also used to assess patient characteristics. Patient system data were collected. Prediction models were created using multiple linear regression.
Results: This retrospective study examined 105 postpartum cardiac patients' QoL. Postpartum QoL scores were lower (90.69 ± 13.82) than those of general women, with physical component scores (41.09 ± 9.91) lower than mental component scores (49.60 ± 14.87). Postpartum depression (33.3%), moderate anxiety (37.14%), pregnancy concerns (57.14%), offspring heart problems (57.14%), and life expectancy worries (48.6%) were all prevalent. No previous cardiac surgery, multiparity, higher sadness and cardiac anxiety, and fear of unfavorable pregnancy outcomes were strongly related to lower QoL (R2 value = 0.525).
Conclusions: Heart disease patients' postpartum QoL is linked to their physical and mental health. Our study emphasizes the need for healthcare workers to recognize and address the unique characteristics of these women while developing and implementing comprehensive management approaches during their maternity care journey.
Numerical Study on the Characteristics of Roadway Failure and Instability in Coal Seams with Rock Parting
Authors: Zhang Heng , Zhang Yu-Geng , Liu Guang-Jian , Zhu Ya-Wei , Ji Xian-Jun , Cao Wen-Hao 
Published: July 2023

Abstract
Studying the mechanism of roadway failure and instability in coal seams with rock parting is essential to the prevention and control of rockburst in the coal mine production process. In this work, based on the rockburst accident of the 1305 working face in the Zhaolou Coal Mine (ZCM), a numerical model was established using UDEC numerical simulation software to study the failure and instability process and influencing factors of a coal seam roadway containing rock partings under unloading action. We proposed a coupling instability mechanism of the rock parting slip and fracture mechanism. The failure and instability process of roadways under different influencing factors was studied. The results enrich the theory of the dynamics of surrounding rock fractures in coal mines, further clarify the potential dangers to mining-area roadways and working faces, and provide technical information to ensure the safe and efficient mining of bifurcated coal seams.
Cataract Detection Using Deep Learning
Authors: Panda Saroj Kailash , Panjwani Nikhil 
Published: July 2023

Abstract
In a human life a very common disorder that occurs is, eye disorder named CATARACT, this eye disorder is mostly common in humans within the age group of 40–50 years. If neglected can lead to eye blindness. One can avoid this type of eye disorder from getting worse by detecting it on-time. So we are proposing our model that uses Deep Learning to detect this disorder, using Fundus Images. The model contains fully connected hidden layers with cost function and activation functions to properly train the model and optimize it and to significantly reduce the computational cost compared to other models. Total 1130 affected and 1130 non affected images are feeded to model in order to train model properly so that model doesn’t get overfitted.
Effect of a Wearable Device–Based Physical Activity Intervention in North Korean Refugees: Pilot Randomized Controlled Trial
Authors: Kim Ji Yoon , Kim Kyoung Jin , Kim Kyeong Jin , Choi Jimi , Seo Jinhee , Lee Jung-Been , Bae Jae Hyun , Kim Nam Hoon , Kim Hee Young , Lee Soo-Kyung , Kim Sin Gon 
Published: July 2023

Background
Effective health interventions for North Korean refugees vulnerable to metabolic disorders are currently unelucidated.

Objective
This study aimed to evaluate the effects of digital health interventions in North Korean refugees using a wearable activity tracker (Fitbit device).

Methods
We conducted a prospective, randomized, open-label study on North Korean refugees aged 19-59 years between June 2020 and October 2021 with a 12-week follow-up period. The participants were randomly assigned to either an intervention group or a control group in a 1:1 ratio. The intervention group received individualized health counseling based on Fitbit data every 4 weeks, whereas the control group wore the Fitbit device but did not receive individualized counseling. The primary and secondary outcomes were the change in the mean daily step count and changes in the metabolic parameters, respectively.

Results
The trial was completed by 52 North Korean refugees, of whom 27 and 25 were in the intervention and control groups, respectively. The mean age was 43 (SD 10) years, and 41 (78.8%) participants were women. Most participants (44/52, 95.7%) had a low socioeconomic status. After the intervention, the daily step count in the intervention group increased, whereas that in the control group decreased. However, there were no significant differences between the 2 groups (+83 and –521 steps in the intervention and control groups, respectively; P=.500). The effects of the intervention were more prominent in the participants with a lower-than-average daily step count at baseline (<11,667 steps/day). After the 12-week study period, 85.7% (12/14) and 46.7% (7/15) of the participants in the intervention and control groups, respectively, had an increased daily step count (P=.05). The intervention prevented the worsening of the metabolic parameters, including BMI, waist circumference, fasting blood glucose level, and glycated hemoglobin level, during the study period.

Conclusions
The wearable device–based physical activity intervention did not significantly increase the average daily step count in the North Korean refugees in this study. However, the intervention was effective among the North Korean refugees with a lower-than-average daily step count; therefore, a large-scale, long-term study of this intervention type in an underserved population is warranted.

Trial Registration
Clinical Research Information Service KCT0007999; https://cris.nih.go.kr/cris/search/detailSearch.do/23622
Managing Musculoskeletal Pain in Older Adults Through a Digital Care Solution: Secondary Analysis of a Prospective Clinical Study
Authors: Areias Anabela C , Janela Dora , Molinos Maria , Moulder Robert G , Bento Virgílio , Yanamadala Vijay , Cohen Steven P , Correia Fernando Dias , Costa Fabíola 
Published: July 2023

Background
Aging is closely associated with an increased prevalence of musculoskeletal conditions. Digital musculoskeletal care interventions emerged to deliver timely and proper rehabilitation; however, older adults frequently face specific barriers and concerns with digital care programs (DCPs).

Objective
This study aims to investigate whether known barriers and concerns of older adults impacted their participation in or engagement with a DCP or the observed clinical outcomes in comparison with younger individuals.

Methods
We conducted a secondary analysis of a single-arm investigation assessing the recovery of patients with musculoskeletal conditions following a DCP for up to 12 weeks. Patients were categorized according to age: ≤44 years old (young adults), 45-64 years old (middle-aged adults), and ≥65 years old (older adults). DCP access and engagement were evaluated by assessing starting proportions, completion rates, ability to perform exercises autonomously, assistance requests, communication with their physical therapist, and program satisfaction. Clinical outcomes included change between baseline and program end for pain (including response rate to a minimal clinically important difference of 30%), analgesic usage, mental health, work productivity, and non–work-related activity impairment.

Results
Of 16,229 patients, 12,082 started the program: 38.3% (n=4629) were young adults, 55.7% (n=6726) were middle-aged adults, and 6% (n=727) were older adults. Older patients were more likely to start the intervention and to complete the program compared to young adults (odds ratio [OR] 1.72, 95% CI 1.45-2.06; P<.001 and OR 2.40, 95% CI 1.97-2.92; P<.001, respectively) and middle-aged adults (OR 1.22, 95% CI 1.03-1.45; P=.03 and OR 1.38, 95% CI 1.14-1.68; P=.001, respectively). Whereas older patients requested more technical assistance and exhibited a slower learning curve in exercise performance, their engagement was higher, as reflected by higher adherence to both exercise and education pieces. Older patients interacted more with the physical therapist (mean 12.6, SD 18.4 vs mean 10.7, SD 14.7 of young adults) and showed higher satisfaction scores (mean 8.7, SD 1.9). Significant improvements were observed in all clinical outcomes and were similar between groups, including pain response rates (young adults: 949/1516, 62.6%; middle-aged adults: 1848/2834, 65.2%; and older adults: 241/387, 62.3%; P=.17).

Conclusions
Older adults showed high adherence, engagement, and satisfaction with the DCP, which were greater than in their younger counterparts, together with significant clinical improvements in all studied outcomes. This suggests DCPs can successfully address and overcome some of the barriers surrounding the participation and adequacy of digital models in the older adult population.
Corpo e alma da literatura
Authors: Stigger Veronica 
Published: July 2023

Entrevista com a escritora, crítica de arte, curadora e professora Veronica Stigger. Doutora em Teoria e Crítica de Arte pela USP e com pós-doutorado pela Università degli Studi di Roma "La Sapienza" (2009), pelo Museu de Arte Contemporânea da Universidade de São Paulo (2009) e pelo Instituto de Estudos da Linguagem da UNICAMP, Veronica Stigger é uma das autoras brasileiras contemporâneas mais premiadas e, nessa conversa, fala sobre o seu percurso de criação, sobre suas obras ficcionais, sua pesquisa acadêmica, o modernismo e os limites (ou ausência deles) entre arte e vida.
Edição: Ana Paula Rodrigues da Silva (USP), Thiago Fonseca (TV-PUC)Música: PIPA estúdio
Revista FronteiraZ 30 - Julho/2023
Intervenção artística
Authors: Stigger Veronica 
Published: July 2023

Entrevista com a escritora, crítica de arte, curadora e professora Veronica Stigger. Doutora em Teoria e Crítica de Arte pela USP e com pós-doutorado pela Università degli Studi di Roma "La Sapienza" (2009), pelo Museu de Arte Contemporânea da Universidade de São Paulo (2009) e pelo Instituto de Estudos da Linguagem da UNICAMP, Veronica Stigger é uma das autoras brasileiras contemporâneas mais premiadas e, nessa conversa, fala sobre o seu percurso de criação, sobre suas obras ficcionais, sua pesquisa acadêmica, o modernismo e os limites (ou ausência deles) entre arte e vida.
Edição: Ana Paula Rodrigues da Silva (USP), Thiago Fonseca (TV-PUC)Música: PIPA estúdio
Revista FronteiraZ 30 - Julho/2023
Da ideia ao texto
Authors: Stigger Veronica 
Published: July 2023

Entrevista com a escritora, crítica de arte, curadora e professora Veronica Stigger. Doutora em Teoria e Crítica de Arte pela USP e com pós-doutorado pela Università degli Studi di Roma "La Sapienza" (2009), pelo Museu de Arte Contemporânea da Universidade de São Paulo (2009) e pelo Instituto de Estudos da Linguagem da UNICAMP, Veronica Stigger é uma das autoras brasileiras contemporâneas mais premiadas e, nessa conversa, fala sobre o seu percurso de criação, sobre suas obras ficcionais, sua pesquisa acadêmica, o modernismo e os limites (ou ausência deles) entre arte e vida.
Edição: Ana Paula Rodrigues da Silva (USP), Thiago Fonseca (TV-PUC)Música: PIPA estúdio
Revista FronteiraZ 30 - Julho/2023
Encontrando Heleieth Saffioti nos rastros dos arquivos da ditadura civil-militar brasileira
Authors: Moraes Samantha Camacam de , De Moraes Silva Maria Aparecida 
Published: July 2023

Este trabalho é parte do trabalho de doutoramento em curso, A trajetória de Heleieth Saffioti (1934-2010) no campo sociológico e feminista brasileiros[1], que investiga a trajetória dessa que foi pioneira nos estudos sobre a condição feminina na América Latina. Apresentaremos alguns achados inéditos no que diz respeito à sua experiência com a ditadura civil-militar brasileira. Por meio de pesquisa documental e entrevistas, visamos perscrutar o cenário político que produziu formas específicas de vigilância a movimentos e atores sociais, mas também um fazer sociológico típico da geração da qual fez parte. A análise de sua trajetória singular é um convite para aprofundar-se em sua história, mas também indagar sobre as permanências e os desdobramentos da ditadura na consolidação da extrema direita brasileira da última década.

[1] Financiada pela Fundação de Amparo à Pesquisa do Estado de São Paulo.