bluuebunny/crossref_metadata_2025 huggingface dataset:
Autómata Evolutivo (AE) para el mercado accionario usando Martingalas y un Algoritmo Genético
Authors: Gómez Vilchis Jaime Alberto , Hernández Álvarez Federico , Román de la Sancha Luis Ignacio
Published: June 2021

El objetivo de este trabajo es desarrollar un Autómata Evolutivo (AE) que opera con base a un modelo de martingalas con el que se definen estrategias de inversión, las cuales utilizan información inmediata histórica, límites de ganancia, pérdida y tiempos de permanencia; brinda señales de compra, venta o mantener la posición del activo basadas en la combinación óptima de medias móviles seleccionadas mediante un algoritmo genético. Se probó para dos índices accionarios antes, durante y después de la crisis subprime, mostrando que, cuando los mercados estaban en fase alcista, la estrategia comprar-manter (BH) generó un rendimiento superior al AE; en contraste, para el periodo de crisis observado, el AE logró un rendimiento mayor; finalmente, en todo el periodo de prueba, el rendimiento del AE fue superior. El AE tiene la restricción que solo puede ser usado por una acción/índice por periodo, aunque esto puede ser solventado al ciclarlo por el número de instrumentos del portafolio. La autenticidad del trabajo radica en la combinación de modelos que se complementan para generar un sistema que ayuda en la toma de decisiones.
La productividad del sector manufacturero: caso Colombia 2005-2016
Authors: Becerra-Peña Diana L. , Lemos Mejía María Ximena
Published: June 2021

El objetivo de este trabajo es analizar empíricamente la evolución de la productividad total de los factores (PTF) en la industria manufacturera colombiana de 2005 a 2016, a través de la estimación del Índice de Malmquist (IM), con un panel de veintinueve subsectores productivos. Los resultados muestran una caída promedio en la PTF de la manufactura colombiana de 1.1%, derivado de un retroceso en el componente tecnológico. Se recomienda a los hacedores de política promover el uso de Tecnologías de la Información y la Comunicación, así como innovaciones tecnológicas. La limitación encontrada corresponde a la falta de información desagregada a nivel empresa de la totalidad de unidades económicas del sector durante el período de análisis. La originalidad de la investigación recae en el monitoreo de los cambios en la productividad de la manufactura y su descomposición en eficiencia y tecnología a lo largo del tiempo. En conclusión, durante el período de estudio se vislumbra una desindustrialización temprana del sector manufacturero, donde los componentes de eficiencia y de tecnología no fueron en la misma dirección.
A Health Information Quality Assessment Tool for Korean Online Newspaper Articles: Development Study
Authors: Lee Naae , Oh Seung-Won , Cho Belong , Myung Seung-Kwon , Hwang Seung-Sik , Yoon Goo Hyeon
Published: June 2021

Background

Concern regarding the reliability and accuracy of the health-related information provided by online newspaper articles has increased. Numerous criteria and items have been proposed and published regarding the quality assessment of online information, but there is no standard quality assessment tool available for online newspapers.

Objective

This study aimed to develop the Health Information Quality Assessment Tool (HIQUAL) for online newspaper articles.

Methods

We reviewed previous health information quality assessment tools and related studies and accordingly developed and customized new criteria. The interrater agreement for the new assessment tool was assessed for 3 newspaper articles on different subjects (colorectal cancer, obesity genetic testing, and hypertension diagnostic criteria) using the Fleiss κ and Gwet agreement coefficient. To compare the quality scores generated by each pair of tools, convergent validity was measured using the Kendall τ ranked correlation.

Results

Overall, the HIQUAL for newspaper articles comprised 10 items across 5 domains: reliability, usefulness, understandability, sufficiency, and transparency. The interrater agreement for the article on colorectal cancer was in the moderate to substantial range (Fleiss κ=0.48, SE 0.11; Gwet agreement coefficient=0.74, SE 0.13), while for the article introducing obesity genetic testing it was in the substantial range, with values of 0.63 (SE 0.28) and 0.86 (SE 0.10) for the two measures, respectively. There was relatively low agreement for the article on hypertension diagnostic criteria at 0.20 (SE 0.10) and 0.75 (SE 0.13), respectively. Validity of the correlation assessed with the Kendall τ showed good correlation between tools (HIQUAL vs DISCERN=0.72, HIQUAL vs QUEST [Quality Evaluation Scoring Tool]=0.69).

Conclusions

We developed a new assessment tool to evaluate the quality of health information in online newspaper articles, to help consumers discern accurate sources of health information. The HIQUAL can help increase the accuracy and quality of online health information in Korea.
Content Analysis and Quality Evaluation of Cesarean Delivery–Related Videos on YouTube: Cross-sectional Study
Authors: Lee Kyong-No , Joo Yeon Ji , Choi So Yeon , Park Sung Taek , Lee Keun-Young , Kim Youngmi , Son Ga-Hyun
Published: June 2021

Background

YouTube is one of the most popular open-access video-sharing websites, and it is also used to obtain health care information. Cesarean delivery is the most common major surgical intervention in many countries. Videos related to cesarean delivery have also been uploaded to YouTube. However, no study has explored the overall quality of cesarean delivery videos on the platform.

Objective

The objective of this study was to analyze the content and evaluate the quality of the most frequently viewed videos related to cesarean delivery that are accessible on YouTube.

Methods

We searched for a total of 18 terms by combining the 6 terms retrieved from Google AdWords and the 3 terms c section, cesarean section, and cesarean delivery, which are used interchangeably. Videos were sorted by view count, and the 100 videos with the highest view counts were chosen. The number of views, duration, likes and dislikes, content type, and source of each video were recorded. In evaluating the quality of the videos, we referred to a previous study. Additionally, we developed a detailed scoring method that comprehensively evaluates the videos related to cesarean delivery by including the necessary information for each element of the cesarean delivery and whether scientific evidence was presented.

Results

Of the 100 videos analyzed, the most prevalent content (n=28) was videos that contained the actual surgical procedure of a cesarean delivery, and the most common source of cesarean delivery videos was physicians (n=30). Videos directly related to cesarean delivery, such as explanation of the surgery and the actual surgical procedure, were mainly uploaded by medical groups and scored higher than the videos indirectly related to cesarean delivery, which were mainly uploaded by nonmedical groups. In addition, videos directly related to cesarean delivery were more often uploaded earlier in time, with lower like ratios compared to indirect videos.

Conclusions

YouTube is currently not an appropriate source for patients seeking information on cesarean delivery.
A Determinants-of-Fertility Ontology for Detecting Future Signals of Fertility Issues From Social Media Data: Development of an Ontology
Authors: Lee Ji-Hyun , Park Hyeoun-Ae , Song Tae-Min
Published: June 2021

Background

South Korea has the lowest fertility rate in the world despite considerable governmental efforts to boost it. Increasing the fertility rate and achieving the desired outcomes of any implemented policies requires reliable data on the ongoing trends in fertility and preparations for the future based on these trends.

Objective

The aims of this study were to (1) develop a determinants-of-fertility ontology with terminology for collecting and analyzing social media data; (2) determine the description logics, content coverage, and structural and representational layers of the ontology; and (3) use the ontology to detect future signals of fertility issues.

Methods

An ontology was developed using the Ontology Development 101 methodology. The domain and scope of the ontology were defined by compiling a list of competency questions. The terms were collected from Korean government reports, Korea’s Basic Plan for Low Fertility and Aging Society, a national survey about marriage and childbirth, and social media postings on fertility issues. The classes and their hierarchy were defined using a top-down approach based on an ecological model. The internal structure of classes was defined using the entity-attribute-value model. The description logics of the ontology were evaluated using Protégé (version 5.5.0), and the content coverage was evaluated by comparing concepts extracted from social media posts with the list of ontology classes. The structural and representational layers of the ontology were evaluated by experts. Social media data were collected from 183 online channels between January 1, 2011, and June 30, 2015. To detect future signals of fertility issues, 2 classes of the ontology, the socioeconomic and cultural environment, and public policy, were identified as keywords. A keyword issue map was constructed, and the defined keywords were mapped to identify future signals. R software (version 3.5.2) was used to mine for future signals.

Results

A determinants-of-fertility ontology comprised 236 classes and terminology comprised 1464 synonyms of the 236 classes. Concept classes in the ontology were found to be coherently and consistently defined. The ontology included more than 90% of the concepts that appeared in social media posts on fertility policies. Average scores for all of the criteria for structural and representations layers exceeded 4 on a 5-point scale. Violence and abuse (socioeconomic and cultural factor) and flexible working arrangement (fertility policy) were weak signals, suggesting that they could increase rapidly in the future.

Conclusions

The determinants-of-fertility ontology developed in this study can be used as a framework for collecting and analyzing social media data on fertility issues and detecting future signals of fertility issues. The future signals identified in this study will be useful for policy makers who are developing policy responses to low fertility.
Using a Smartphone Application for the Accurate and Rapid Diagnosis of Acute Anterior Intracranial Arterial Occlusion: Usability Study
Authors: Komatsu Teppei , Sakai Kenichiro , Iguchi Yasuyuki , Takao Hiroyuki , Ishibashi Toshihiro , Murayama Yuichi
Published: June 2021

Background

Telestroke has developed rapidly as an assessment tool for patients eligible for reperfusion therapy.

Objective

To investigate whether vascular neurologists can diagnose intracranial large vessel occlusion (LVO) as quickly and accurately using a smartphone application compared to a hospital-based desktop PC monitor.

Methods

We retrospectively enrolled 108 consecutive patients with acute ischemic stroke in the middle cerebral artery territory who underwent magnetic resonance imaging (MRI) within 24 hours of their stroke onset. Two vascular neurologists, blinded to all clinical information, independently evaluated magnetic resonance angiography and fluid-attenuated inversion recovery images for the presence or absence of LVO in the internal carotid artery and middle cerebral artery (M1, M2, or M3) on both a smartphone application (Smartphone-LVO) and a hospital-based desktop PC monitor (PC-LVO). To evaluate the accuracy of an arterial occlusion diagnosis, interdevice variability between Smartphone-LVO and PC-LVO was analyzed using κ statistics, and image interpretation time was compared between Smartphone-LVO and PC-LVO.

Results

There was broad agreement between Smartphone-LVO and PC-LVO evaluations regarding the presence or absence of arterial occlusion (Reader 1: κ=0.94; P<.001 vs Reader 2: κ=0.89; P<.001), and interpretation times were similar between Smartphone-LVO and PC-LVO.

Conclusions

The results indicate the evaluation of neuroimages using a smartphone application can provide an accurate and timely diagnosis of anterior intracranial arterial occlusion that can be shared immediately with members of the stroke team to support the management of patients with hyperacute ischemic stroke.
Optimizing the Periconception Lifestyle of Women With Overweight Using a Blended Personalized Care Intervention Combining eHealth and Face-to-face Counseling (eFUSE): Protocol for a Randomized Controlled Trial
Authors: van der Windt Melissa , Schoenmakers Sam , Willemsen Sten , van Rossem Lenie , Steegers-Theunissen Régine
Published: June 2021

Background

Maternal overweight has a substantial impact on reproductive, maternal, pregnancy, and neonatal outcomes with long-term and transgenerational health consequences. Interventions that aim to optimize periconception maternal lifestyle can improve maternal and fetal health during pregnancy and throughout the life course. However, it remains difficult to change and adopt adequate lifestyle behaviors. We hypothesize that additional psychological therapy targeting cognitive and affective factors substantially contribute to the effectiveness of these interventions.

Objective

The proposed study aims to examine the feasibility and effectiveness of a blended personalized periconception lifestyle care intervention with additional psychological therapy aimed at women with a BMI≥25 and who are contemplating pregnancy or are already pregnant (≤12 weeks) in reducing inadequate lifestyle behaviors and improving early and late pregnancy outcome.

Methods

The eHealth and Face-to-face Counseling (eFUSE) study follows a single-center two-arm randomized controlled trial design at the Erasmus MC, University Medical Center, with a multicenter regional referral. The female patients with overweight (BMI≥25), together with their male partner, will be stratified by pregnancy status (preconception vs pregnant) and randomized to receive either the blended personalized periconception lifestyle care intervention with additional psychological therapy (n=313) or usual care (n=313). The primary outcome is a change in the lifestyle risk score (between baseline and 24 weeks) between the randomization arms (difference in differences). Secondary outcomes include measurements defined as most relevant by the International Consortium for Health Outcomes Measurement, including behavioral determinants, patient satisfaction, provider feasibility, and maternal pregnancy and neonatal complications.

Results

The study will be open for recruitment from Fall 2021 onward. Data collection is expected to be completed by the beginning of 2023, and the results are expected to be published by Fall 2023.

Conclusions

This study will evaluate the feasibility and effectiveness of a blended periconception lifestyle intervention with additional psychological therapy, aimed at women with a BMI≥25. Positive results of this innovative care approach will be used for implementation in routine medical care of all women with overweight, with the ultimate aim to improve clinical outcomes of these high-risk pregnancies.

Trial Registration

Netherlands Trial Register NL9264; https://www.trialregister.nl/trial/9264

International Registered Report Identifier (IRRID)

PRR1-10.2196/28600
Use of Live Community Events on Facebook to Share Health and Clinical Research Information With a Minnesota Statewide Community: Exploratory Study (Preprint)
Authors: Cha Jinhee , West Ian W , Brockman Tabetha A , Soto Miguel Valdez , Balls-Berry Joyce E , Eder Milton , Patten Christi A , Cohen Elisia L
Published: June 2021

BACKGROUND

Community engagement can make a substantial difference in health outcomes and strengthen the capacity to deal with disruptive public health events such as the COVID-19 pandemic. Social media platforms such as Facebook are a promising avenue to reach the broader public and enhance access to clinical and translational science, and require further evaluation from the scientific community.

OBJECTIVE

This study aims to describe the use of live community events to enhance communication about clinical and health research through a Facebook platform case study (Minnesota [MN] Research Link) with a Minnesota statewide community. We examined variables associated with video engagement including video length and type of posting.

METHODS

From June 2019 to February 2021, MN Research Link streamed 38 live community events on its public Facebook page, MN Research Link. Live community events highlighted different investigators’ clinical and health research in the areas of mental health, health and wellness, chronic diseases, and immunology/infectious diseases. Facebook analytics were used to determine the number of views, total minutes viewed, engagement metrics, and audience retention. An engagement rate was calculated by the total number of interactions (likes, shares, and comments) divided by the total length of the live event by the type of live community event.

RESULTS

The 38 live community events averaged 23 minutes and 1 second in duration. The total time viewed for all 38 videos was 10 hours, 44 minutes, and 40 seconds. Viewers’ watch time averaged 23 seconds of content per video. After adjusting for video length, promotional videos and research presentations had the highest engagement and retention rates. Events that included audience participation did not have higher retention rates compared to events without audience participation.

CONCLUSIONS

The use of live community events showed adequate levels of engagement from participants. A view time of 23 seconds on average per video suggests that short informational videos engage viewers of clinical and translational science content. Live community events on Facebook can be an effective method of advancing health promotion and clinical and translational science content; however, certain types of events have more impact on engagement than others.
Assessing the Views of Professionals, Patients, and Care Partners Concerning the Use of Computer Tools in Memory Clinics: International Survey Study (Preprint)
Authors: van Gils Aniek M , Visser Leonie NC , Hendriksen Heleen MA , Georges Jean , Muller Majon , Bouwman Femke H , van der Flier Wiesje M , Rhodius-Meester Hanneke FM
Published: June 2021

BACKGROUND

Computer tools based on artificial intelligence could aid clinicians in memory clinics in several ways, such as by supporting diagnostic decision-making, web-based cognitive testing, and the communication of diagnosis and prognosis.

OBJECTIVE

This study aims to identify the preferences as well as the main barriers and facilitators related to using computer tools in memory clinics for all end users, that is, clinicians, patients, and care partners.

METHODS

Between July and October 2020, we sent out invitations to a web-based survey to clinicians using the European Alzheimer’s Disease Centers network and the Dutch Memory Clinic network, and 109 clinicians participated (mean age 45 years, SD 10; 53/109, 48.6% female). A second survey was created for patients and care partners. They were invited via Alzheimer Europe, Alzheimer’s Society United Kingdom, Amsterdam Dementia Cohort, and Amsterdam Aging Cohort. A total of 50 patients with subjective cognitive decline, mild cognitive impairment, or dementia (mean age 73 years, SD 8; 17/34, 34% female) and 46 care partners (mean age 65 years, SD 12; 25/54, 54% female) participated in this survey.

RESULTS

Most clinicians reported a willingness to use diagnostic (88/109, 80.7%) and prognostic (83/109, 76.1%) computer tools. User-friendliness (71/109, 65.1%); Likert scale mean 4.5, SD 0.7), and increasing diagnostic accuracy (76/109, 69.7%; mean 4.3, SD 0.7) were reported as the main factors stimulating the adoption of a tool. Tools should also save time and provide clear information on reliability and validity. Inadequate integration with electronic patient records (46/109, 42.2%; mean 3.8, SD 1.0) and fear of losing important clinical information (48/109, 44%; mean 3.7, SD 1.2) were most frequently indicated as barriers. Patients and care partners were equally positive about the use of computer tools by clinicians, both for diagnosis (69/96, 72%) and prognosis (73/96, 76%). In addition, most of them thought favorably regarding the possibility of using the tools themselves.

CONCLUSIONS

This study showed that computer tools in memory clinics are positively valued by most end users. For further development and implementation, it is essential to overcome the technical and practical barriers of a tool while paying utmost attention to its reliability and validity.
Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose (Preprint)
Authors: Alam Mohammad Arif Ul
Published: June 2021

BACKGROUND

Drug overdose has become a public health crisis in United States with devastating consequences. However, most of the drug overdose incidences are the consequence of recitative polysubstance usage over a defined period of time which can be happened by either the intentional usage of required drug with other drugs or by accident. Thus, predicting the effects of polysubstance usage is extremely important for clinicians to decide which combination of drugs should be prescribed. Although, machine learning community has made great progress toward using such rich models for supervised prediction, precision medicine problem such as polysubstance usage effects on drug overdose requires heterogeneous causal models, for which there is significantly less theoretical and practical guidance available. Recent advancement of structural causal models can provide ample insights of causal effects from observational data via identifiable causal directed graphs.

OBJECTIVE

Develop a system to identify heterogeneous causal effect of polysubstance usage from large electronic health record data

METHODS

We propose a system to estimate heterogeneous concurrent drug usage effects on overdose estimation, that consists of efficient co-variate selection, subgroup selection, generation of and heterogeneous causal effect estimation. Although, there has been several association studies have been proposed in the state-of-art methods, heterogeneous causal effects have never been studied in concurrent drug usage and drug overdose problem. We apply our framework to answer a critical question, ”can concurrent usage of benzodiazepines and opioids has heterogeneous causal effects on opioid overdose epidemic?”

RESULTS

Using Truven MarketScan claim data collected from 2001 to 2013 have shown significant promise of our proposed framework’s efficacy. Our efficient causal inference model estimated that the causal effect is higher (19%) than the regression studies (15%) to estimate the risks associated with the concurrent usage of opioid and benzodiazepines on opioid overdose.

CONCLUSIONS

Our generic framework can be a foundation of investigating concurrent events’ causal effects on any outcome that involves heterogeneity
Columbia Open Health Data for COVID-19 Research: Database Analysis (Preprint)
Authors: Lee Junghwan , Kim Jae Hyun , Liu Cong , Hripcsak George , Natarajan Karthik , Ta Casey , Weng Chunhua
Published: June 2021

BACKGROUND

COVID-19 has threatened the health of tens of millions of people all over the world. Massive research efforts have been made in response to the COVID-19 pandemic. Utilization of clinical data can accelerate these research efforts to combat the pandemic since important characteristics of the patients are often found by examining the clinical data. Publicly accessible clinical data on COVID-19, however, remain limited despite the immediate need.

OBJECTIVE

To provide shareable clinical data to catalyze COVID-19 research, we present Columbia Open Health Data for COVID-19 Research (COHD-COVID), a publicly accessible database providing clinical concept prevalence, clinical concept co-occurrence, and clinical symptom prevalence for hospitalized patients with COVID-19. COHD-COVID also provides data on hospitalized patients with influenza and general hospitalized patients as comparator cohorts.

METHODS

The data used in COHD-COVID were obtained from NewYork-Presbyterian/Columbia University Irving Medical Center’s electronic health records database. Condition, drug, and procedure concepts were obtained from the visits of identified patients from the cohorts. Rare concepts were excluded, and the true concept counts were perturbed using Poisson randomization to protect patient privacy. Concept prevalence, concept prevalence ratio, concept co-occurrence, and symptom prevalence were calculated using the obtained concepts.

RESULTS

Concept prevalence and concept prevalence ratio analyses showed the clinical characteristics of the COVID-19 cohorts, confirming the well-known characteristics of COVID-19 (eg, acute lower respiratory tract infection and cough). The concepts related to the well-known characteristics of COVID-19 recorded high prevalence and high prevalence ratio in the COVID-19 cohort compared to the hospitalized influenza cohort and general hospitalized cohort. Concept co-occurrence analyses showed potential associations between specific concepts. In case of acute lower respiratory tract infection in the COVID-19 cohort, a high co-occurrence ratio was obtained with COVID-19–related concepts and commonly used drugs (eg, disease due to coronavirus and acetaminophen). Symptom prevalence analysis indicated symptom-level characteristics of the cohorts and confirmed that well-known symptoms of COVID-19 (eg, fever, cough, and dyspnea) showed higher prevalence than the hospitalized influenza cohort and the general hospitalized cohort.

CONCLUSIONS

We present COHD-COVID, a publicly accessible database providing useful clinical data for hospitalized patients with COVID-19, hospitalized patients with influenza, and general hospitalized patients. We expect COHD-COVID to provide researchers and clinicians quantitative measures of COVID-19–related clinical features to better understand and combat the pandemic.
Short Form of the Pediatric Symptom Checklist-Youth Self-Report (PSC-17-Y): Spanish Validation Study (Preprint)
Authors: Piqueras Jose A , Vidal-Arenas Verónica , Falcó Raquel , Moreno-Amador Beatriz , Marzo Juan C , Holcomb Juliana M , Murphy Michael
Published: June 2021

BACKGROUND

The short form, 17-item version of the Pediatric Symptom Checklist-Youth Self-Report (PSC-17-Y) is a validated measure that assesses psychosocial problems overall (OVR) and in 3 major psychopathological domains (internalizing, externalizing, and attention-deficit/hyperactivity disorder), taking 5-10 min to complete. Prior research has established sound psychometric properties of the PSC-17-Y for English speakers.

OBJECTIVE

This study extends psychometric evidence for the acceptability of the PSC-17-Y in a large sample of Spanish adolescents, providing proof of its reliability and structure, convergent and discriminant validity, and longitudinal and gender invariance.

METHODS

Data were collected on 5430 adolescents, aged 12-18 years, who filled out the PSC-17-Y twice during 2018-2019 (7-month interval). We calculated the Cronbach alpha and the McDonald omega coefficients to test reliability, the Pearson correlation for convergent (distress) and criterion validity (well-being, quality of life, and socioemotional skills), confirmatory factor analysis (CFA) for structure validity, and multigroup and longitudinal measurement invariance analysis for longitudinal and gender stability.

RESULTS

Within structural analysis for the PSC-17-Y, CFA supported a correlated 3-factor solution, which was also invariant longitudinally and across gender. All 3 subscales showed evidence of reliability, with coefficients near or above .70. Moreover, scores of PSC-17-Y subscales were positively related with convergent measures and negatively related with criterion measures. Normative data for the PSC-17-Y are presented in the form of percentiles (75th and 90th).

CONCLUSIONS

This work provides the first evidence of the reliability and validity of the Spanish version of the PSC-17-Y administered over the internet to assess mental health problems among adolescents, maintaining the same domains as the long version.
Exploring Associations of Housing, Relocation, and Active and Healthy Aging in Sweden: Protocol for a Prospective Longitudinal Mixed Methods Study (Preprint)
Authors: Zingmark Magnus , Björk Jonas , Granbom Marianne , Gefenaite Giedre , Nordeström Frida , Schmidt Steven M , Rantanen Taina , Slaug Björn , Iwarsson Susanne
Published: June 2021

BACKGROUND

While housing and neighborhood features have the potential to impact opportunities for active aging, there is a lack of knowledge related to how older people reason regarding their housing situation and how housing and fulfillment of relocation are associated with active and healthy aging.

OBJECTIVE

The objectives of Prospective RELOC-AGE are to study housing choices and relocation and explore effects on active and healthy aging among men and women aged 55 years and older in Sweden considering relocation.

METHODS

The estimated sample (2800) will include people aged 55 years and older being listed for relocation at either of two housing companies: a local public housing company in Southern Sweden and a national condominium provider. Prospective RELOC-AGE has a 2-level longitudinal mixed methods design and includes quantitative surveys (implemented by a professional survey company) and a telephone interview for baseline data collection in 2021, with follow-ups with the same procedures in 2022 and 2023. The survey and interviews include questions related to present housing and neighborhood, relocation plans and expectations, a range of perspectives on active and healthy aging, and demographics. Linking to national registers will provide additional data on home help and health care use, objective housing, and neighborhood characteristics. To explore what housing attributes older adults considering relocation find important and to what extent when making their decisions on housing, we will develop a discrete choice experiment to be implemented with a subsample of participants. Further, a grounded theory approach will be applied to collect in-depth interview data from participants who have moved to another dwelling, within 6 months of the move. A follow-up interview 12 months later will focus on participants’ deepened experience over time in terms of fulfilled expectations and relocation experiences.

RESULTS

As of submission of this protocol (June 2021), recruitment has commenced with approximately 960 respondents to the survey and ongoing telephone interviews. We anticipate recruitment and data collection based on surveys and interviews to continue during 2021.

CONCLUSIONS

Prospective RELOC-AGE has the capacity to generate new policy-relevant knowledge on associations of housing, relocation, and active and healthy aging. Such knowledge is relevant for the development of proactive approaches to housing in old age on the individual, group, and societal levels.

CLINICALTRIAL

ClinicalTrials.gov NCT04765696; https://clinicaltrials.gov/ct2/show/NCT04765696

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/31137
Examining Tweet Content and Engagement of Users With Tweets About Hikikomori in Japanese: Mixed Methods Study of Social Withdrawal (Preprint)
Authors: Pereira-Sanchez Victor , Alvarez-Mon Miguel Angel , Horinouchi Toru , Kawagishi Ryo , Tan Marcus P J , Hooker Elizabeth R , Alvarez-Mon Melchor , Teo Alan R
Published: June 2021

BACKGROUND

Hikikomori is a form of severe social withdrawal that is particularly prevalent in Japan. Social media posts offer insight into public perceptions of mental health conditions and may also inform strategies to identify, engage, and support hard-to-reach patient populations such as individuals affected by hikikomori.

OBJECTIVE

In this study, we seek to identify the types of content on Twitter related to hikikomori in the Japanese language and to assess Twitter users’ engagement with that content.

METHODS

We conducted a mixed methods analysis of a random sample of 4940 Japanese tweets from February to August 2018 using a hashtag (#hikikomori). Qualitative content analysis included examination of the text of each tweet, development of a codebook, and categorization of tweets into relevant codes. For quantitative analysis (n=4859 tweets), we used bivariate and multivariate logistic regression models, adjusted for multiple comparisons, and estimated the predicted probabilities of tweets receiving engagement (likes or retweets).

RESULTS

Our content analysis identified 9 codes relevant to tweets about hikikomori: personal anecdotes, social support, marketing, advice, stigma, educational opportunities, refuge (ibasho), employment opportunities, and medicine and science. Tweets about personal anecdotes were the most common (present in 2747/4859, 56.53% of the tweets), followed by social support (902/4859, 18.56%) and marketing (624/4859, 12.84%). In the adjusted models, tweets coded as stigma had a lower predicted probability of likes (−33 percentage points, 95% CI −42 to −23 percentage points; P<.001) and retweets (−11 percentage points, 95% CI −18 to −4 percentage points; P<.001), personal anecdotes had a lower predicted probability of retweets (−8 percentage points, 95% CI −14 to −3 percentage points; P=.002), marketing had a lower predicted probability of likes (−13 percentage points, 95% CI −21 to −6 percentage points; P<.001), and social support had a higher predicted probability of retweets (+15 percentage points, 95% CI 6-24 percentage points; P=.001), compared with all tweets without each of these codes.

CONCLUSIONS

Japanese tweets about hikikomori reflect a unique array of topics, many of which have not been identified in prior research and vary in their likelihood of receiving engagement. Tweets often contain personal stories of hikikomori, suggesting the potential to identify individuals with hikikomori through Twitter.
Особливості когнітивних порушень при COVID-19
Authors: Kopchak O.O.
Published: June 2021

У статті детально висвітлені патогенетичні механізми розвитку когнітивних порушень у хворих на COVID-19, описані особливості когнітивної дисфункції залежно від періоду й тяжкості захворювання, вираженості гіпоксії, застосування штучної вентиляції легенів. Зазначено, що розуміння патогенетичних аспектів, що лежать в основі розвитку когнітивних порушень у пацієнтів, які перенесли COVID-19, є надзвичайно важливим для їх адекватної корекції. Наголошено на доцільності застосування чутливих інструментів когнітивного тестування для моніторингу результатів функціонального відновлення хворих на COVID-19; на необхідності проведення оцінки довгострокового впливу SARS-Cov-2 на когнітивні функції в пацієнтів з COVID-19. Розглянуто місце препаратів з мембраностабілізуючими, нейропротекторними й антиоксидантними властивостями й наведено патогенетичне обґрунтування доцільності їх застосування для лікування когнітивних порушень при COVID-19.
Machine Learning Technique for Rainfall Prediction
Authors: Waghmare Dr. Vivek
Published: June 2021

Rain prediction is one of the most challenging and uncertain tasks that has a profound effect on human society. Timely and accurate forecasting can help significantly reduce population and financial losses. This study presents a collection of tests involving the use of conventional machine learning techniques to create rainfall prediction models depending on the weather information of the area. This Comparative research was conducted focusing on three aspects: modeling inputs, modeling methods, and prioritization techniques. The results provide a comparison of the various test metrics for these machine learning methods and their reliability estimates in rain by analyzing weather data. This study seeks a unique and effective machine learning system for predicting rainfall. The study experimented with different parameters of the rainfall from various regions in order to assess the efficiency and durability of the model. The machine learning model is focused on this study. Rainfall patterns in this study are collected, trained and tested for achievement of sustainable outcomes using machine learning models. The monthly rainfall predictions obtained after training and testing are then compared to real data to ensure the accuracy of the model The results of this study indicate that the model has been successful in it predicting monthly rain data and specific parameters.
Reseña: De contrabando y mojado. La frontera imaginada (México-Estados Unidos)
Authors:   Colegio de la Frontera Norte, Solís Pérez Marlene
Published: June 2021

El libro que nos presenta Humberto Félix Berumen es una brújula para quienes estudiamos las fronteras. Nos ofrece coordenadas precisas para entender su dimensión simbólica, pero, sobre todo, para dar el justo valor al carácter cultural de éstas. De cierto modo, es una actualización de la discusión que da lugar a lo que se ha llamado el giro cultural, que es el reconocimiento de la importancia de los sistemas de significación en la construcción de la realidad social, como él mismo señala: “[...] las fronteras también existen por y a través de los discursos que las imaginan, las articulan y las representan” (p.7).
OBSTÁCULOS E BENEFÍCIOS NA ADOÇÃO DE PRÁTICAS DE COMPRAS SUSTENTÁVEIS
Authors: Jacob Antonio Aparecido , Ferreira Denise Helena Lombardo , Sugahara Cibele Roberta , Jannuzzi Celeste Aída Sirotheau Corrêa
Published: June 2021

A compra sustentável é uma importante ferramenta em prol do desenvolvimento social, econômico e ambiental e, no entanto, sua prática é relativamente reduzida no Brasil. Diante desse relevante cenário, o objetivo desta pesquisa é identificar os obstáculos e os benefícios na adoção de práticas de compras sustentáveis no sentido de verificar quais são os mais recorrentes. O método utilizado consiste em uma pesquisa exploratória de abordagem qualitativa, cuja leitura dos dados é orientada pela análise de conteúdo. Com o estudo foi possível identificar que as barreiras financeiras geralmente constituem os principais obstáculos às compras sustentáveis, seguidas da incipiência de fornecedores preparados para atender a demanda de produtos e serviços sustentáveis. Os aspectos relacionados à motivação e cultura organizacional também compõem um conjunto de barreiras importantes e presentes na adoção das compras sustentáveis. Esse estudo evidenciou que a prática de compras sustentáveis pode ser dificultada por entraves como: o desconhecimento acerca do conceito de compras sustentáveis, a falta de informações sobre o mercado de produtos sustentáveis e a falta de conscientização dos envolvidos no processo. Por outro lado, benefícios significativos para a sociedade podem ser gerados ao se implantar as práticas de compras sustentáveis, tais como a redução do impacto ambiental, com efeitos positivos sobre a saúde e bem-estar; geração de emprego; aumento da conscientização sobre temas socioambientais pela comunidade local e ganho reputacional das organizações.
Materiales didácticos digitales: proceso de creación de un video animado como apoyo al quehacer docente
Authors: Orellana-Guevara Catty , Castro Araya Hazel
Published: June 2021

Este artículo trata la experiencia del estudiantado en formación docente con la creación de un video animado Powtoon® como material audiovisual para el desarrollo de sus clases. La experiencia de aprendizaje tiene como objetivo diseñar propuestas didácticas a partir de la creación de materiales digitales y, se lleva a cabo con una cantidad de estudiantes en formación docente, en un curso de la Escuela de Administración Educativa, con el apoyo del Programa de Tecnologías Educativas para el Aprendizaje (PROTEA) de la Facultad de Educación de la Universidad de Costa Rica. La metodología desarrollada se basa en un enfoque cualitativo por medio de la técnica de taller, esto porque propicia conocer la percepción del estudiantado con respecto al proceso creativo de un recurso que apoye el proceso educativo. Se destaca que la creación de los recursos promueve una experiencia de aprendizaje en virtud de los objetivos específicos. Tras la experiencia, el principal hallazgo ha consistido en que cuando la persona docente produce los MDD, se incorporan elementos los cuales contextualizan con propiedad su contenido hacia las necesidades del proceso de enseñanza; por consiguiente, se desarrollan habilidades creativas, se obtiene la aprehensión del conocimiento y se optimizan los resultados del proceso de aprendizaje del estudiantado.
El cine-foro virtual en la formación docente: experiencia didáctica con estudiantes de Educación Primaria en la Universidad de Costa Rica, Sede Rodrigo Facio
Authors: Ibarra-Vargas Esteban Francisco
Published: June 2021

La sistematización de este trabajo presenta los resultados de la valoración efectuada por el estudiantado participante en la experiencia didáctica Cine-foro virtual, llevada a cabo en el curso Educación Rural y Escuela Unidocente, en la Universidad de Costa Rica. La ejecución correspondió con la necesidad de sustituir una gira educativa de inmersión presencial en el contexto rural unidocente, debido a la pandemia ocasionada por el virus responsable de la COVID-19. Para efectuar esta labor, se parte del enfoque socio-crítico y la pedagogía crítica, se propone abordar los conceptos de estrategia didáctica y portafolio de evidencias, para argumentar el uso del Cine-foro virtual; además se describen aspectos de la escuela unidocente y la persona docente. En el marco de una investigación cualitativa que estudia la perspectiva del estudiantado participante en la experiencia, se destacan como principales resultados que: a pesar de la no inmersión en el contexto de desempeño deseado, la experiencia virtual fue exitosa para el alcance del objetivo propuesto; facilitó, por medio del diálogo social participativo, la construcción de una comunidad de aprendizaje donde fue posible compartir conocimientos, experiencias e inquietudes respecto a la realidad educativa rural unidocente; que la secuencia de actividades innova en la práctica docente universitaria y esta se puede adaptar a diversos cursos y contextos de aprendizaje en el área educativa.
Ambientes Virtuales de Aprendizaje construidos socialmente con Herramientas de Autor de GeoGebra
Authors: Rubio-Pizzorno Sergio , Montiel Espinosa Gisela
Published: June 2021

A GeoGebra principalmente se le conoce por su software, el cual permite explorar y trabajar de manera dinámica e interactiva con diferentes áreas de las matemáticas, tal como: geometría, cálculo, álgebra, entre otros. No obstante, GeoGebra también representa un conjunto de herramientas para la creación y la gestión de recursos educativos en ambientes digitales, las cuales se denominan Herramientas de Autor, a saber: Actividad, Libro, Grupo, Notas y Classroom.  En este artículo se presenta un análisis sobre la construcción social de la tecnología digital, lo cual permite mostrar cómo estas herramientas se construyen socialmente, en tanto surge una interacción entre las diferentes interpretaciones sobre la tecnología que manifiestan los grupos sociales relevantes que la construyen.  Con base en el análisis apuntado en el párrafo anterior, resulta posible mostrar que las herramientas de autor de GeoGebra se integran y articulan para configurar un Ambiente Virtual de Aprendizaje construido socialmente por su comunidad, el cual perfila un enfoque educativo que busca impulsar la Educación Abierta, con base en los Recursos Educativos Abiertos. A modo de ilustración, se presenta el ejemplo de un recurso educativo abierto sobre construcciones geométricas, –elaborado con las herramientas de autor de GeoGebra– y permite una interacción en línea y sincrónica entre profesorado y estudiantado, para el desarrollo de tareas geométricas, tales como construcción, exploración y conjetura.
Tendencias re-educativas para la Enseñanza de la Matemática
Authors: Fernández Bravo José Antonio
Published: June 2021

En este editorial científico se enuncian criterios básicos y principios fundamentales de metodología didáctica para la enseñanza de la matemática, recogidos durante más de treinta años mediante la experiencia como docente e investigador. El desarrollo de la capacidad de escucha y la necesidad de añadir a las constantes “sentido” y “significado” para la adquisición del conocimiento matemático, la variable “sensibilidad” son –junto con otros valores– imprescindibles en la función que determina los resultados de aprendizaje.
Health Information Technology Investments, Patient Experience, and Hospital Bad Debt
Authors: Wang Yangmei , Wang Tiankai , Cook Kirsten A.
Published: June 2021

In this study, we examine the effect of health information technology (HIT) investments on hospital bad debt via improved patient experience. Using data from California Hospital Reports and Definitive Healthcare, we first expect and find that HIT investments decrease hospital bad debt. Next, following Baron and Kenny's (1986) approach and the bootstrap approach of Zhao, Lynch, and Chen (2010), we study whether patient experience mediates the relationship between HIT investments and hospital bad debt. We find that HIT improves patient experience which, in turn, reduces bad debt at hospitals. Taken together, our findings provide evidence that patient experience is important as a means to affect the relationship between HIT investments and hospital bad debt.
Modelo teórico de empresarialidad rural y su influencia en la competitividad de las mipymes
Authors: Delia Inda Alma , Muñoz del Real Gloria , Gutierrez Gutierrez Olga Lidia
Published: June 2021

Este estudio propone un modelo teórico de empresarialidad rural que se analiza a través del modelo nacional para las mipymes competitivas presentado por el Instituto para el Fomento a la Calidad Total [IFCT] (2010). El objetivo consiste en determinar si la planeación estratégica contribuye sobre la empresarialidad de las empresas rurales, así como en medir el grado de influencia que la empresarialidad tiene sobre las actividades de alianzas estratégicas, relación con sus clientes y recursos humanos. El método que se utilizó fue de corte cuantitativo, no experimental, de tipo transversal. El sujeto de estudio fueron las mipymes del medio rural del valle de Mexicali, Baja California, México. Para el análisis estadístico, se aplicó el método multivariante de segunda generación denominado modelación de ecuaciones estructurales con mínimos cuadrados parciales (PLS-SEM). El modelo estructural presentó como resultado que la variable dependiente Empresarialidad sí es influenciada por la variable independiente Planeación Estratégica, es decir, las acciones de estrategias de mercado, infraestructura, innovación de nuevos productos y mercados, así como imagen empresarial, sí influyen en el proceso de empresarialidad, particularmente en el plan de sucesión, comunicación empresa-familia y la integración de trabajadores-familia. De igual manera, cuando las empresas familiares del medio rural desarrollan su empresarialidad, esta ejerce influencia sobre la generación de alianzas estratégicas, relación con sus clientes y su integración del recurso humano, lo que significa que una mipyme del medio rural debe adoptar acciones de planeación para que su competitividad se vea fortalecida.