bluuebunny/crossref_metadata_2025 huggingface dataset:
Avant-garde heritage of the regions: Use and development prospects in a museum context (on the example of the museums of Saratov and Smolensk)
Authors:   Gallery “One’s Mind”, Pushenkova Sofia A. , Lavrov Dmitriy E. ,   St. Petersburg State University
Published: September 2022

In the wake of the growing interest in the history of the Russian avant-garde, leading Russian museums become initiators, organizers and partners of large-scale exhibition projects dedicated to both individual personalities of the avant-garde era and iconic cultural institutions. In this regard, it is also important to understand how the museum community in Russia reacts to the given trend of turning to the heritage of the avant-garde era, and how regional museums are involved in this process. The artistic avant-garde was never limited to capitals, new trends penetrated all cities of the country, one way or another leaving a mark on the appearance of the city, its history and, of course, in museum collections. This is why researchers need to see the fullest possible picture of how regions are using their avant-garde heritage. The article is devoted to the study of the experience of using the avant-garde heritage in Russian regions on the example of the Saratov State Art Museum named after A.N.Radishchev and the Art Gallery of the Smolensk State Museum-Reserve. Based on sources of museum origin, electronic catalogs of museums, texts by regional authors, Internet sources (in particular, the State Catalog of the Museum Fund of the Russian Federation, and the Constructivist Project portal), as well as local news sources the article reviews the avant-garde collections of these museums, considers cultural and educational activity of urban cultural institutions and independent curatorial projects on this topic. An important part of this study is the assessment of the development prospects in the actualization of the avant-garde heritage of the regions, as well as the role of independent cultural institutions of cities in the actualization and use of the avant-garde heritage of these regions.
To the 100th anniversary of Irina Antonova
Authors:   The Russian State University for the Humanities, Bakanova Irina V.
Published: September 2022

Pushkin Museum was often ahead of its time, laying the groundwork for major changes. For example, with the opening of the Museum of Private Collections as part of the State Museum of Fine Arts, the rehabilitation of private collecting in the country took place. The December Nights festival created by Irina Antonova in collaboration with the brilliant pianist Svyatoslav Richter in 1981 became a matrix of art festivals that took place in various museums of the country during the following decades. The Pushkin State Museum of Fine Arts was charged with promoting Western art in the USSR, of which it brilliantly took the advantage when started displaying works by Picasso, Matisse, Leonardo da Vinci’s Mona Lisa, masterpieces of drawing from the Albertina Museum in Vienna, Western European and American paintings from American museums and others famous exhibitions. This is the visible part of Irina Antonova’s dynamic activity. She approached academic work no less thoroughly, as well as the organization of study and cataloguing of the collection of the State Museum of Fine Arts. And, of course, much credit must go to Irina Antonova for preparing the program for the development and reconstruction of the Pushkin Museum, which has been repeatedly revised and is being finalized before our very eyes under the direction of Marina Loshak.
Monetizing online museum products: Mechanisms, strategies, and examples
Authors:   HSE University, Sizova Irina A.
Published: September 2022

The quarantine and post-quarantine restrictions have forced museums to pay close attention to digital content. Initially, this was done to maintain their audience and public interest, and after that, they began to think about monetizing these products. Monetizing digital content can help them recover lost revenue. Monetization of online museum products refers to the process of converting free or paid online products and services developed by museums themselves or in collaboration with developers. In this article, the author identifies mechanisms and strategies for monetizing museum online products that can also apply to museums in modern times. The case study was the main method of analysis. Four possible methods for monetizing museum online products were identified as a result of the study. Several factors should be considered before developing museum online products. In addition, six strategies for monetizing virtual initiatives were identified, whose development must take into account such factors as time, human and material resources of the museum as well as the uniqueness and quality of the content. Therefore, we can conclude that the introduction of monetization was a difficult process for museums, accompanied by a number of problems related to the distribution of time and significant human resources, as well as financial costs; lack of motivation for museum staff; using outdated software; the dual nature of the online product, which works both outside the museum and draws visitors directly into the museum halls.
Comparative study on stream flow prediction using the GMNN and wavelet-based GMNN
Authors: Agarwal Shivam , Roy Parthajit , Choudhury Parthasarathi , Debbarma Nilotpal
Published: September 2022

Flood flow forecasting is essential for mitigating damage in flood-prone areas all over the world. Advanced actions and methodology to optimize peak flow criteria can be adopted based on forecasted discharge information. This paper applied the models of the integrated wavelet, multilayer perceptron (MLP), time-delay neural network (TDNN), and gamma memory neural network (GMNN) to predict hourly river-level fluctuations, including storage rate change variable. Accordingly, the researchers initially used the discrete wavelet transform to decompose the water discharge time-series into low- and high-frequency components. After that, each component was separately predicted by using the MLP, TDNN, and GMNN models. The performance of the proposed models, namely wavelet–MLP, wavelet–TDNN, and wavelet–GMNN, was compared with that of single MLP, TDNN, and GMNN models. This analysis affirms that precision is better in the case of integrated models for forecasting river reach levels in the study region. Furthermore, multiple inputs–multiple outputs (MIMO) networks (MIMO-1 artificial neural network (ANN) and MIMO-2 ANN), along with multiple inputs–single output (MISO) ANN were employed for obtaining flow forecasts for several sections in a river basin. Model performances were also evaluated using the root mean squared error having less than 10% of the average mean value, with the coefficient of correlation being more than 0.91 and with the peak flow criteria showing the chances of flash floods being low to moderate with values not more than 0.15.
La educación en contexto de encierro y su aporte a la reinserción social
Authors:   Universidad de Chile, Santiago, Chile., Campos Ibáñez Myrtha , Welsch Chahuán Gherman ,   Universitat Pompeu Fabra, Barcelona, España.
Published: September 2022

El presente trabajo aborda el derecho a la educación de las personas privadas de libertad y cómo ésta es reconocida en el marco normativo como un factor que favorece el proceso de reinserción social. De esta manera, la normativa penitenciaria nacional ha incluido a la educación como un elemento para medir los avances de las personas condenadas en este proceso, y así acceder a una serie de derechos y beneficios. Para estos efectos es necesario analizar cómo la educación produce un efectivo impacto respecto a la reincidencia y la forma en que el sistema de educación pública chilena ha considerado el contexto de encierro en el desarrollo de la política pública educacional en la reciente modificación a la Ley General de Educación.
La libertad condicional en el sistema de justicia chileno. Funcionamiento actual y principales modificaciones al decreto ley 321.
Authors:   Universidad de Sevilla, Sevilla, España., Figueroa Ossa Ulda Omar
Published: September 2022

En enero de 2019, mediante la promulgación de la ley 21.124 se modificaron las reglas del sistema de justicia penal Chileno en materia de libertad condicional. Con miras a valorar la utilidad de esto cambios en materia de prevención del delito y reinserción social este trabajo sistematiza información sobre las funciones de la libertad condicional en los sistemas de justicia penal, las características que se han dado a este mecanismo en la experiencia comparada, la regulación y funcionamiento de la libertad condicional en Chile hasta el año 2018, y las principales modificaciones realizadas al decreto ley 321 por la ley 21.124. Se concluye que la incorporación de informes psicosociales con referencias a los factores de riesgo de los postulantes como requisito legal para optar al beneficio, así como la regulación de la figura de delegados mandatos para realizar seguimiento e intervención psicosocial a los beneficiados son elementos que contribuirán a la prevención del delito y la reinserción social. Asimismo se identifican como obstaculizadores a la aspiración de aumentar el número de beneficiarios, la injustificada incorporación de algunos delitos al catálogo de exclusión (artículo 3 de la ley), la regla de retroactividad de los requisitos de postulación (artículo 9 de la ley), la falta de adecuación de las normas sobre calificación de conducta, y la ausencia de estimaciones sobre volumen de demanda y necesidades de intervención de los usuarios que anteceda la regulación reglamentaria de la ley.
Mujeres y privación de libertad en Chile. Dimensiones de lo punitivo y discriminaciones
Authors:   Universidad de Buenos Aires, Buenos Aires, Argentina., Alonso Merino Alicia
Published: September 2022

El artículo es un acercamiento a la realidad de las mujeres privadas de libertad y las discriminaciones que supone el sistema penitenciario para ellas. Comienza con una caracterización sobre el perfil de las reclusas, y sigue con un análisis de los aspectos relacionados con la transgresión social del delito. A continuación, se efectúa un estudio de los efectos que tiene para ellas el ingreso en prisión, finalizando con un análisis de las discriminaciones que les afectan a nivel de infraestructura, maternidades, derechos sexuales y reproductivos, salud, sanciones y formación. Las duras condiciones que impone la cárcel se agravan considerablemente en su caso, generando un daño irreparable no solo para ellas y su descendencia sino para toda la sociedad.
Los artículos 937 y 2.333 del código civil como nuevos argumentos frente a soluciones preventivas ante el ruido
Authors:   Universidad Andrés Bello, Talcahuano, Chile., Elso Kotzing Christofher
Published: September 2022

El presente artículo tiene por objeto servir de apoyo a los fundamentos ya indicados por la doctrina en orden a establecer soluciones frente a actos inmateriales en el suelo que se posee y en lo particular a las molestias generadas por ruido. Lo anterior se centrará en nuevos fundamentos que vienen en señalar que, nuestro Código Civil, junto con las acciones protectoras de la posesión, posee otras herramientas de protección contenidas en los artículos 937 y 2333 respectivamente.
Exploring Anti-osteoporosis Medicinal Herbs using Cheminformatics and
Deep Learning Approaches
Authors: Lin Ziying , Wang Shengjun , Liu Zhihong , Liu Bingdong , Xie Liwei , Zhou Jingwei
Published: September 2022

Background:

Osteoporosis is a prevalent disease for the aged population. Chinese herb-derived natural compounds have anti-osteoporosis effects. Due to the complexity of chemical ingredients and natural products, it is necessary to develop a high-throughput approach with the integration of cheminformatics and deep-learning methods to explore their mechanistic action, especially herb/drug-gene interaction networks.

Methods:

Ten medicinal herbs for clinical osteoporosis treatment were selected. Chemical ingredients of top 10 herbs were retrieved from TCMIO database, and their predicted targets were obtained from SEA server. Anti-osteoporosis clinical drugs and targets were collected from multi-databases. Chemical space, fingerprint similarity, and scaffold comparison of the compounds between herbs and clinical drugs were analyzed by RDKit and SKlearn. A network of herb-ingredient-target were constructed via Gephi, and GO and KEGG enrichment analysis were performed using clusterProfiler. Additionally, the bioactivity of compounds and targets were predicted by DeepScreening. Molecular docking of YYH flavonoids to HSD17B2 was accomplished by AutoDockTools.

Results:

Cheminformatics result depicts a pharmacological network consisting of 89 active components and 30 potential genes. The chemical structures of plant steroids, flavonoids, and alkaloids are key components for anti-osteoporosis effects. Moreover, bioinformatics result demonstrates that the active components of herbs mainly participate in steroid hormone biosynthesis and the TNF signaling pathway. Finally, deep-learning-based regression models were constructed to evaluate 22 anti-osteoporosis-related protein targets and predict the activity of 1350 chemical ingredients of the 10 herbs.

Conclusion:

The combination of cheminformatics and deep-learning approaches sheds light on the exploration of medicinal herbs mechanisms, and the identification of novel and active compounds from medical herbs in complex molecular systems.
Effective Cancer Management: Inimitable Role of Phytochemical Based Nano-
Formulations
Authors: Upaganlawar Aman , Polshettiwar Satish , Raut Sushil , Tagalpallewar Amol , Pande Vishal
Published: September 2022

Background:

Global cancer statistics defines the severity of disease even after significant research
worldwide.

Problem:

Failure of the currently available treatment approaches, including surgery, radiation therapy and traditional
chemotherapy.

Aim:

The aim of this review is to discuss the role of phytochemical based nano-formulations for treatment of cancer.

Discussion:

In the past few decades, phytochemicals have gained popularity for acting as a potential anticancer treatment
with low systemic toxicity, especially in terms of cell cycle control and cancer cell killing. Natural resources, with
their immense structural variety, serve as a vital source of fresh, therapeutically useful new chemical entities for the
treatment of cancer. Vinca alkaloids (VCR), vinblastine, vindesine, vinorelbine, taxanes (PTX), podophyllotoxin and its
derivatives (etoposide (ETP), teniposide, camptothecin (CPT) and its derivatives (topotecan, irinotecan), anthracyclines
(doxorubicin, daunorubicin, epirubicin, idarubicin, as natural products or their derivatives account for half of all anticancer
drugs approved worldwide, and they have been developed utilising the knowledge learned from the natural small
molecules or macromolecules. Trabectedin, an epothilone derivative, ixabepilone, and temsirolimus, three new anticancer
medications launched in 2007, were derived from microbial origins. Current therapy regimens require selective
drug targeting to enhance efficacy against cancer cells while normal cells remain unharmed. Modified medications and
systems for drug delivery based on nanotechnology are in the process of being explored and launched in the industry for
enhanced therapy and management of cancer, along with promising outcomes. Many obstacles related to cancer cell
drug delivery can be overcome by using nano-particulate drug carriers, including enhancing the stability and solubility of
the drug, prolonging half-lives of the drug in the blood, decreasing side effects to undesired organs, and increasing medication
concentration at the desired site. The scientific initiatives and studies concerning the use of nanotechnology for
some selective compounds derived from plants are discussed in this review article.

Conclusion:

The present review highlights the phytochemical-based nanoformulations and their strategies in the
development of novel systems of drug delivery such as nano-liposomes, functionalized nanoparticles (NPs), and
polymer nano-conjugates, SNEDDS (Self nano emulsifying drug delivery system) as this review paper depicts, as
well as their rewards over conventional systems of drug delivery, as evidenced by improved biological activity depicted
in their in vitro and in vivo anticancer assays.
Predictors of Healthcare Utilization Among Older Adults with Moderate
to Severe Cognitive Limitations in Ghana: A Cross-Sectional Analysis of
the WHO Study on Global Ageing and Adult Health (SAGE) Wave 1
Authors: Dai Baozhen , Larnyo Ebenezer , Larnyo Abigail , Nutakor Jonathan Aseye , Amerley Amarteifio Edwina Naa , Frimpong Yaw , Addai-Dansoh Stephen
Published: September 2022

Background:

As the number of older adults in Ghana keeps increasing, so does the prevalence
of aging-related diseases and conditions that tend to lead to cognitive decline. However,
knowledge on the predicting factors of healthcare utilization among older adults with cognitive limitations
is still scarce.

Objective:

This study examines the predictive factors of healthcare-seeking behavior among older
adults with moderate-to-severe cognitive limitations in Ghana.

Methods:

Based on Andersen's behavioral model of health service utilization, the study analyzed data
from 3106 older adults with moderate to severe cognitive limitations in Ghana aged 50+ using Bivariate
Probit Regression and the Heckman Selection Model.

Results:

Results showed that individuals who were aged 75+, living in urban settlements, educated,
higher income levels and parents who had some level of education, pension benefits, and both mandatory
and voluntary health insurance were more likely to seek inpatient care.
Enabling resources such as the national health insurance scheme and other types of medical insurance,
household income, pension benefits, and predisposition factors like education influenced outpatient
and inpatient healthcare consumption for older adults with moderate to severe cognitive limitations
but had little influence on the choice of healthcare facility except for health insurance.

Conclusion:

Since the healthcare-seeking behavior of older adults with moderate-to-severe cognitive
limitations is driven by an amalgamation of several internal and external factors, there is a need for
policy change to understand and cautiously incorporate these factors into the decision to improve equitable
access to healthcare services for these individuals, as not all sizes fit all in providing quality
care for them.
Gliotoxin Induced Ferroptosis by Downregulating SUV39H1 Expression in
Esophageal Cancer Cells
Authors: Zhang Shengqiang , Guo Jida , Zhang Hongyan , Tong Lu , Zhang Linyou
Published: September 2022

Background:

Gliotoxin, a secondary metabolite isolated from marine-derived Aspergillus
fumigatus, has demonstrated anti-tumor properties in several cancers. Ferroptosis, a recently
discovered type of programmed cell death that depends on the accumulation of iron and lipid peroxides,
participates in the occurrence and development of various diseases, including cancer. A
recent patent, US20200383943, has suggested that the promotion of ferroptosis is a method of
cancer treatment. Therefore, the development of drugs that induce ferroptosis in cancer cells
would constitute a novel therapeutic approach.

Objective:

Gliotoxin is a natural compound which has exhibited anti-tumor properties in multiple
cancers, however, studies of the effect of gliotoxin on esophageal cancer are lacking. Although
cancer treatment has shown great progress, including traditional surgery, chemotherapy, radiotherapy,
and immunotherapy, the prognosis of esophageal cancer is still poor. Therefore, the development
of new treatment approaches for esophageal cancer is necessary.

Methods:

The effects of gliotoxin on esophageal cancer cells were determined by functional assays,
such as CCK-8, wound healing and transwell assays. We used online tools to predict the target
genes of gliotoxin, followed by further verification using Western blotting assays. To assess
the role of gliotxin in inducing ferroptosis in esophageal cancer, we detected characteristics associated
with ferroptosis including ROS, MDA, GSH and Fe2+.

Results:

Using online tools SEA and SwissTargetPrediction, we predicted that SUV39H1 was the
gliotoxin target gene. Furthermore, in esophageal cancer tissues, SUV39H1 was expressed at
higher levels than in normal tissues, while in patients with Esophageal Squamous Cell Carcinoma
(ESCC), high expression levels of SUV39H1 indicated a poor prognosis. In vitro, we observed
that gliotoxin increased ESCC cell death and inhibited cell migration. We treated ESCC cells with
pan-caspase inhibitor Z-VAD-FMK or ferroptosis inhibitors, including Fer-1 and DFO. Our results
showed that Fer-1 and DFO reduced the toxic effects of gliotoxin, while Z-VAD-FMK did
not. Furthermore, gliotoxin treatment reduced tumor weight and volume in the xenograft tumor
mouse model.

Conclusion:

In summary, our findings indicate that gliotoxin downregulated SUV39H1 expression
in ESCC cells and induced ferroptosis, suggesting a novel natural therapy for ESSC.
O Livro de Galaaz e a ideologia da linhagem
Authors: Miranda José Carlos Ribeiro
Published: September 2022

The Arthurian prose cycle of romances, written in France in the early 13thcentury, was soon to be known throughout Europe, namely in Portugal. On the one hand, this cycle is the acme of Romanesque writing featuring King Arthur and his knights; yet, on the other hand, these texts also expose the outpacing of the chivalric model as they formalize and describe a specific mind frame of coeval aristocracy, built around the concept of lineage. Memory of the ancestors and blood kinship are the basis of a particular bondage between individuals that confers legitimacy to the dispute for social supremacy at a time when, throughout Europe, monarchy prepares the tools that will serve the historical prevailing of royal power
Dialectical Islamic and Confucian traditions within ASEAN to hinder the clash of civilization
Authors: Rochmat Saefur
Published: September 2022

In the globalization era the clash of civilizations becomes our concern due to culture being the only aspect of human living not affected by globalization. But all aspects of human living are substantially related to culture for their meaning as well as the identity of certain groups differing from others. The clash of civilization discourses was ignited by Samuel P. Huntington who perceives the unification of Islamic Civilization and Confucian Civilization as the greatest threat to America. Inevitably the US has tried to attract the Confucian Civilization as its ally, leaving its former allies, the ASEAN countries, with their strong Islamic influence. However the ASEAN members have strong internal cohesion so they are able to manage the challenge and increase their bargaining power. Then ASEAN is able to moderate the clash of civilization.This essay tries to analye ASEAN’s success in protecting its Moslem members from the clash of civilization, such as interventions and pre-emptive strikes imposed by the US. This is due to the ASEAN’s model of security community which enabled dialogue amongst civilizations possible, especially Confucian and Islamic ones. ASEAN provides the opportunity for its Moslem members to have better bargaining power, such as in the case of Indonesia which has relatively strong power in the ASEAN to direct the courses of the organization. As result the US’s realist approach in the form of security regime had been modified to suit the Indonesian case. Indeed the US should develop dialogue with Moslem in formulating terrorism policies in Indonesia n order to have effective policies that do not endanger human security.
THE ESTABLISHMENT OF GEREJA KRISTEN JAWI WETAN (GKJW) TUNJUNGREJO YOSOWILANGUN SUBDISTRICT LUMAJANG
Authors: Fitroh Ismaul
Published: September 2022

Tunjungrejo is one of the unique village located in the region of Lumajang. The uniqueness of the village can be seen in the presence of Protestant religion. Other uniqueness are their house of worship, namely Gereja Kristen Jawi Wetan (GKJW). Brontodiwirjo has an important role to the development of Protestant in Tunjungrejo. Brontodiwirjo as forest loggers Tunjungrejo is also a teacher of the gospel in this region. Along Tunjungrejo forest clearing, many newcomers who are Christians and non Christians. To maintain the existence of Protestant Christianity, Brontodiwirjo as forest loggers Tunjungrejo apply the rule that people who want to settle in the region Tunjungrejo be Protestant. From this Tunjungrejo society formed by the belief in one religion. As a result of the continued development of the Protestant Christian church he built a house of worship that is GKJW Tunjungrejo.Keywords: Gereja Kristen Jawi Wetan (GKJW), Tunjungrejo, Brontodiwirjo.
Effectiveness of social problem solving model in improving social skills of transvestites in the special regions Yogyakarta
Authors: Aman Aman , Sudrajat Ajat , Yuliana Lia
Published: September 2022

This study aims to find out: the effectiveness of character education models in improving social skills for transvestites in Yogyakarta Special Region. This research uses Research and Development method which consists of four stages, namely: (1) preliminary stage, (2) the planning stage of character education models for transgender as the development of the initial product form, (3) the testing, evaluation and revision stages through practical learning improvement of social skills, and (4) implementation phase. The number of transsexuals who were sampled in the one-on-one trial in 2015 was 5 transvestites selected by purposive sampling. In the second year the trial was expanded to 1 management of Kebaya Shelter house and involved 22 transvestites. Whereas field operational trials were conducted on 32 transvestites in Kebaya and Iwayo. Data collection techniques use FGD techniques, questionnaires, interviews, observation, and documentation techniques. Data validity uses expert validation, while the validity of qualitative data with source triangulation techniques, theory and methods. Quantitative data analysis with descriptive analysis techniques and qualitative data with interactive models. The results showed that: Field operational trials of 32 transvestites, it can be seen that there was an increase in transvestites' social skills after training the character education model of SPS models for waria. The pretest results showed a good average classification with a mean of 3.20. While the posttest results indicate an increase to a good classification with a mean of 3.58. Based on these data shows that all aspects that are considered good regarding social skills show a good and good classification.  Keywords: Problem Solving, social skills, of transvestites
Influences, Barriers, and Facilitators to COVID-19 Vaccination: Cross-sectional Survey on Vaccine Hesitancy in 2 Rural States
Authors: Nguyen Elaine , Wright Melanie , Holmes John , Cleveland Kevin , Oliphant Catherine , Nies Mary , Robinson Renee
Published: September 2022

Background

Vaccination remains one of the most effective ways to limit the spread of infectious diseases such as that caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for COVID-19. Unfortunately, vaccination hesitancy continues to be a threat to national and global health. Further research is necessary to determine the modifiable and nonmodifiable factors contributing to COVID-19 vaccine hesitancy in under-resourced, underserved, and at-risk rural and urban communities.

Objective

This study aimed to identify, understand, and address modifiable barriers and factors contributing to COVID-19 vaccine hesitancy among vaccine-eligible individuals with access to the vaccine in Alaska and Idaho.

Methods

An electronic survey based on the World Health Organization (WHO) Strategic Advisory Group on Experts (SAGE) on Immunization survey tool and investigators’ previous work was created and distributed in June 2021 and July 2021. To be eligible to participate in the survey, individuals had to be ≥18 years of age and reside in Alaska or Idaho. Responses were grouped into 4 mutually exclusive cohorts for data analysis and reporting based on intentions to be vaccinated. Respondent characteristics and vaccine influences between cohorts were compared using Chi-square tests and ANOVA. Descriptive statistics were also used.

Results

There were data from 736 usable surveys with 40 respondents who did not intend to be vaccinated, 27 unsure of their intentions, 8 who intended to be fully vaccinated with no doses received, and 661 fully vaccinated or who intended to be vaccinated with 1 dose received. There were significant differences in characteristics and influences between those who were COVID-19 vaccine-hesitant and those who had been vaccinated. Concerns related to possible side effects, enough information on long-term side effects, and enough information that is specific to the respondent’s health conditions were seen in those who did not intend to be fully vaccinated and unsure about vaccination. In all cohorts except those who did not intend to be fully vaccinated, more information about how well the vaccine works was a likely facilitator to vaccination.

Conclusions

These survey results from 2 rural states indicate that recognition of individual characteristics may influence vaccine choices. However, these individual characteristics represent only a starting point to delivering tailored messages that should come from trusted sources to address vaccination barriers.
Communicating Health Literacy on Prescription Medications on Social Media: In-depth Interviews With “Patient Influencers” (Preprint)
Authors: Willis Erin , Friedel Kate , Heisten Mark , Pickett Melissa , Bhowmick Amrita
Published: September 2022

BACKGROUND

Historically, pharmaceutical companies have struggled with trust and brand reputation among key stakeholders and have adopted innovative marketing strategies to reach patients directly and rebuild those relationships. Social media influencers are a popular strategy to influence younger demographics, including Generation Z and millennials. It is common for social media influencers to work in paid partnerships with brands; this is a multibillion-dollar industry. Long have patients been active in online health communities and social media platforms such as Twitter and Instagram, but in recent years, pharmaceutical marketers have noticed the power of patient persuasion and begun to leverage “patient influencers” in brand campaigns.

OBJECTIVE

This study aimed to explore how patient influencers communicate health literacy on pharmaceutical medications on social media to their communities of followers.

METHODS

A total of 26 in-depth interviews were conducted with patient influencers using a snowball sampling technique. This study is part of a larger project using an interview guide that included a range of topics such as social media practices, logistics of being an influencer, considerations for brand partnerships, and views on the ethical nature of patient influencers. The constructs of the Health Belief Model were used in this study’s data analysis: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, and self-efficacy. This study was approved by the institutional review board of the University of Colorado and adhered to ethical standards in interview practice.

RESULTS

As patient influencers are a new phenomenon, it was our goal to identify how health literacy on prescription medications and pharmaceuticals is being communicated on social media. Using the constructs of the Health Belief Model to guide the analysis, 3 themes were identified: understanding disease through experience, staying informed on the science or field, and suggesting that physicians know best.

CONCLUSIONS

Patients are actively exchanging health information on social media channels and connecting with other patients who share similar diagnoses. Patient influencers share their knowledge and experience in efforts to help other patients learn about disease self-management and improve their quality of life. Similar to traditional direct-to-consumer advertising, the phenomenon of patient influencers raises ethical questions that need more investigation. In a way, patient influencers are health education agents who may also share prescription medication or pharmaceutical information. They can break down complex health information based on expertise and experience and mitigate the loneliness and isolation that other patients may feel without the support of a community.
Predicting Habitual Use of Wearable Health Devices Among Middle-aged Individuals With Metabolic Syndrome Risk Factors in South Korea: Cross-sectional Study (Preprint)
Authors: Ha Jaeyoung , Park Jungmi , Lee Sangyi , Lee Jeong , Choi Jin-Young , Kim Junhyoung , Cho Sung-il , Jeon Gyeong-Suk
Published: September 2022

BACKGROUND

Prevention of the risk factors for metabolic syndrome (MetS) in middle-aged individuals is an important public health issue. Technology-mediated interventions, such as wearable health devices, can aid in lifestyle modification, but they require habitual use to sustain healthy behavior. However, the underlying mechanisms and predictors of habitual use of wearable health devices among middle-aged individuals remain unclear.

OBJECTIVE

We investigated the predictors of habitual use of wearable health devices among middle-aged individuals with risk factors for MetS.

METHODS

We proposed a combined theoretical model based on the health belief model, the Unified Technology of Acceptance and Use of Technology 2, and perceived risk. We conducted a web-based survey of 300 middle-aged individuals with MetS between September 3 and 7, 2021. We validated the model using structural equation modeling.

RESULTS

The model explained 86.6% of the variance in the habitual use of wearable health devices. The goodness-of-fit indices revealed that the proposed model has a desirable fit with the data. Performance expectancy was the core variable explaining the habitual use of wearable devices. The direct effect of the performance expectancy on habitual use of wearable devices was greater (β=.537, P<.001) than that of intention to continue use (β=.439, P<.001), and the total effect estimate of the performance expectancy was 0.909 (P<.001), including the indirect effect (β=.372, P=.03) on habitual use of wearable devices via intention to continue use. Furthermore, performance expectancy was influenced by health motivation (β=.497, P<.001), effort expectancy (β=.558, P<.001), and risk perception (β=.137, P=.02). Perceived vulnerability (β=.562, P<.001) and perceived severity (β=.243, P=.008) contributed to health motivation.

CONCLUSIONS

The results suggest the importance of the users’ performance expectations for wearable health devices for the intention of continued use for self-health management and habituation. Based on our results, developers and health care practitioners should find better ways to meet the performance expectations of middle-aged individuals with MetS risk factors. They also should generate device use easier and find a way to encourage users’ health motivation, thereby reducing users’ effort expectancy and resulting in a reasonable performance expectancy of the wearable health device, to induce users’ habitual use behaviors.
A Multi-kernel and Multi-scale Learning Based Deep Ensemble Model for Predicting Recurrence of Non-small Cell Lung Cancer (Preprint)
Authors: Kim Gihyeon , Choi Jang-Hwan
Published: September 2022

BACKGROUND

Predicting recurrence in patients with non-small cell lung cancer (NSCLC) prior to treatment is crucial as this may guide to personalized medicine.

OBJECTIVE

In this study, we developed a deep learning-based ensemble network for recurrence prediction using a dataset of 530 NSCLC patients.

METHODS

This network assembles two-dimensional (2D) convolutional neural network (CNN) models with various input slices, scales, and convolutional kernels through a deep learning-based ensemble strategy. The proposed framework is uniquely designed to benefit from (i) multiple 2D in-plane slices, providing more information than a single central slice, (ii) multi-scale networks and multi-kernel networks capturing the local and peritumoral features, (iii) ensemble design, enabling final prediction to be based on various features from different networks, and (iv) the best combination of 2D CNN models comprising various inputs and model architectures.

RESULTS

The ensemble of five 2D CNN models, three slices, and two multi-kernel networks achieved the best performance with a high F1 score and recall of 73% and 74.15%, respectively. Furthermore, the proposed method achieved competitive results compared with the 2D and 3D CNN models for cancer outcome prediction in the benchmark studies.

CONCLUSIONS

The proposed model has potential as an adjuvant treatment tool for identifying NSCLC patients with a high risk of recurrence.
Pathophysiologic Basis of Connected Health Systems (Preprint)
Authors: Shaikh Yahya , Gibbons Michael Christopher
Published: September 2022

UNSTRUCTURED

Since the start of the COVID-19 pandemic, there has been a rapid transition to telehealth across the United States, primarily involving virtual clinic visits. Additionally, the proliferation of consumer technologies related to health reveals that for many people health and care in the contemporary world extends beyond the boundaries of a clinical interaction and includes sensors and devices that facilitate health in personal environments. The ideal connected environment is networked and intelligent, personalized to promote health and prevent disease. The combination of sensors, devices, and intelligence constitutes a connected health system around an individual that is optimized to improve and maintain health, deliver care, and predict and reduce risk of illness. Just as modern medicine uses the pathophysiology of disease as a framework for the basis of pharmacologic therapy, a similar clinically reasoned approach can be taken to organize and architect technological elements into therapeutic systems. In this work, we introduce a systematic methodology for the design of connected health systems grounded in the pathophysiologic basis of disease. As the digital landscape expands with the ubiquity of health devices, it is pivotal to enable technology-agnostic clinical reasoning to guide the integration of technological innovations into systems of health and care delivery that extend beyond the boundaries of a clinical interaction. Applying clinical reasoning in a repeatable and systematic way to organizing technology into therapeutic systems can yield potential benefits including expanding the study of digital therapeutics from individual devices to networked technologies as therapeutic interventions; empowering physicians who are not technological experts to still play a significant role in using clinical reasoning for architecting therapeutic networks of sensors and devices; and developing platforms to catalog and share combinations of technologies that can form therapeutic networks and connected health systems.
Ascertaining Whether an Intelligent Voice Assistant Can Meet Older Adults' Health-Related Needs in the Context of a Geriatrics 5Ms Framework: A Qualitative Study (Preprint)
Authors: Lifset Ella T , Charles Kemeberly , Farcas Emilia , Weibel Nadir , Hogarth Michael , Chen Chen , Johnson Janet G , Draper Mary , Moore Alison Ahern
Published: September 2022

BACKGROUND

Older adults are the fastest growing digital technology users. IVAs embodied in smart speakers are popular and they are accessible to people with sensory, physical and cognitive impairments. The geriatrics 5Ms: Medications, Mind, Mobility, what Matters most and Multicomplexity, addresses the complex care needs of older adults.

OBJECTIVE

We examined data on older adults’ views of how an IVA may address their health-related needs and ascertained their fit into the geriatrics 5Ms framework.

METHODS

We analyzed qualitative data from interviews among 16 older adults. Two authors independently assigned a subset of the original codes into themes corresponding to the 5Ms.

RESULTS

We sorted 111 codes into the 5Ms. Representative themes for each of the 5Ms and potential IVA uses are: 1) Medication: difficulty remembering complex medication schedules. Use: medication reminders. 2) Mind: isolation, depression, anxiety and memory loss. Use: companionship, behavioral interventions and memory aids. 3) Mobility: barriers to exercise. Use: reminders, incentives, ideas for exercise. 4) Matters most: participant health concerns (e.g., nutrition). Use: suggesting nutritious foods, and ordering them from local stores. 5) Multicomplexity; managing multimorbidity. Use: symptom tracking and communicating with health care professionals and care partners.

CONCLUSIONS

Older adult participants’ needs and recommendations for a health-related IVA can be put into a 5Ms framework. Moreover, we identified numerous uses for an IVA utilizing this older adult needs-focused framework.
Incorporating the 5Ms framework into IVA design will improve their ability to address health care priorities of older adults and their care partners.
The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: A systematic review (Preprint)
Authors: Somé Nibene Habib , Noormohammadpour Pardis , Lange Shannon
Published: September 2022

BACKGROUND

Machine learning is a promising tool in the area of suicide prevention due to its ability to combine the effects of multiple risk factors and complex interactions. The power of machine learning has led to an influx of studies on suicide prediction, as well as a few recent reviews. However, the existing systematic reviews did not differentiate between data sources, and have largely failed to summarize the most important risk factors.

OBJECTIVE

The objective of our study was to assess the degree to which machine learning techniques capture incidents of suicidal thoughts and behaviors, and ascertain the most important predictors of suicidal thoughts and behaviors identified via machine learning.

METHODS

A systematic literature search of PubMed,‎ Medline, Embase, PsycINFO, Web of Science,‎ Cumulative Index to Nursing and Allied Health Literature‎ (CINAHL)‎, and Allied and Complementary Medicine Database (AMED) to identify all studies that have used machine learning to predict suicidal thoughts and behaviors using administrative or survey data‎ was performed. The search was conducted for articles published between January 1, 2019 and May 11, 2022. In addition, all articles identified in three recently published systematic reviews (the last of which included studies up until January 1, 2019) were retained, if they met our inclusion criteria. To evaluate the predictive power of machine learning methods in predicting suicidal thoughts and behaviors box plots were used to summarize the distribution of the area under the receiver operating characteristic curve (AUC) values by suicide outcome (i.e., suicidal thoughts, suicide attempt, and death by suicide, as well as all suicide outcomes combined) and machine learning method. Mean AUCs with 95% confidence intervals (CIs) were computed for each suicide outcome by study design, study data source, total sample size, and sample size of cases, and machine learning methods employed. The most important risk factors identified were summarized.

RESULTS

The search strategy identified a total of 2,200 unique records, of which 104 articles met the inclusion criteria. Machine learning algorithms achieved good prediction of suicidal thoughts and behaviors (i.e., an AUC between 0.80 and 0.89); however, their predictive power appears to differ across suicide outcomes. The AUCs for boosting algorithms achieved good prediction of suicidal thoughts, death by suicide, and all suicide outcomes combined, while neural network algorithm achieved good prediction of suicide attempt. The risk factors for suicidal thoughts and behaviors differed depending on the data source and the population under study.

CONCLUSIONS

The predictive utility of machine learning for suicidal thoughts and behaviors is largely dependent on the approach used. The findings of the current review should prove helpful in preparing future machine learning models.

CLINICALTRIAL

N/A
La montaña rusa emocional: Trastorno Límite de la Personalidad (TLP) - Borderline o F60.31 DSM- 5: Sección III
Authors: Guillén Riebeling Raquel del Socorro
Published: September 2022

Sin resumen
Pero… ¡Si estoy a DIETA!
Authors: Morales Salinas Maricruz
Published: September 2022

Sin resumen
Revisión de la epidemiología del sobrepeso y obesidad
Authors: Ramos Villa Erich Axel , Reyes Monje Roberto Gabriel , Vieyra Rivera Julio Ivan
Published: September 2022

El exceso de peso corporal (sobrepeso y obesidad) se reconoce como uno de los retos más importantes de la Salud Pública a nivel mundial debido a su magnitud, la rapidez de su incremento y el efecto negativo que ejerce sobre la salud de la población que la padece. Además, incrementan significativamente el riesgo de padecer enfermedades crónicas no transmisibles, la mortalidad prematura y el costo social de la salud. Se estima que 90 % de los casos de diabetes mellitus tipo 2 se atribuyen al sobrepeso y la obesidad. México ocupa uno de los primeros lugares en la prevalencia mundial de obesidad en población adulta, la cual es diez veces mayor que la en países como Japón y Corea. En nuestro país, más del 70 % de la población adulta tiene exceso de peso. La prevalencia de sobrepeso es más alta en hombres que en mujeres, mientras que la prevalencia de obesidad es mayor en las mujeres que en los hombres. Respecto a la población infantil, México ocupa el cuarto lugar de prevalencia mundial de obesidad, superado por Grecia, Estados Unidos e Italia. Por lo anterior, es necesario planear e implementar estrategias de acción efectivas, dirigidas a la prevención y control de la obesidad del niño, el adolescente y el adulto. La experiencia global indica que la atención correcta de la obesidad y el sobrepeso, requiere coordinar estrategias multisectoriales eficientes, las que permiten potenciar los factores de protección hacia la salud, particularmente con la modificación el comportamiento de los individuos, y de los ámbitos familiar y comunitario.
Consecuencias sociales y psicológicas de presentar obesidad
Authors: Guillén Riebeling Raquel del Socorro
Published: September 2022

Sin resumen