bluuebunny/crossref_metadata_2025 huggingface dataset:
Adipose-derived mesenchymal stromal cell-derived exosomes alleviate testicular torsion injury via activation of PI3K/AKT and MAPK/ERK1/2 pathways
Authors: Liu Hengchen , Shi Manyu , Li Xiangqi , Lu Wenjun , Zhang Mingzhao , Zhang Tingting , Wu Yang , Zhang Zenan , Cui Qingbo , Yang Shulong , Li Zhaozhu
Published: July 2021

Background

Exosomes have became a new nano-scale therapeutic method in recent years. Adipose-derived mesenchymal stromal cell-derived exosomes (ADSC-Exos) have shown great potential in the treatment of ischemia-reperfusion injury. However, there is no research on whether ADSC-Exos can alleviate testicular torsion injury. Therefore, we investigated the protective effect of ADSC-Exos in alleviating testicular torsion-detorsion injury.

Methods

ADSC-Exos were isolated by ultracentrifugation and injected into the torsion-detorsion-affected testes of rats. H&E staining and sperm quality were used to evaluate the therapeutic effects of ADSC-Exos, and the level of tissue oxidative stress was determined using malondialdehyde (MDA) and superoxide dismutase (SOD). In addition, TUNEL staining and immunohistological analyses (Ki67, cleaved Caspase-3, IL-6, IL-10, CCR7, and CD163) were used to clarify the effects of ADSC-Exos on spermatogenic cell proliferation, apoptosis, and the inflammatory microenvironment in vivo . Possible signaling pathways were predicted using sequencing technology and bioinformatics analysis. The signaling pathways were validated by proliferation (EdU), migration (transwell and scratch test), and apoptosis (flow cytometry, TUNEL, and western blot) in vitro .

Results

ADSC-Exos alleviated testicular torsion-detorsion injury by attenuating oxidative stress and inflammatory responses. In addition, ADSC-Exos promoted the proliferation and migration of spermatogenic cells and inhibited their apoptosis by activating the PI3K/AKT and MAPK/ERK1/2 signaling pathways.

Conclusions

Overall, we demonstrated that ADSC-Exos can alleviate testicular torsion injury and provided a new approach for treating testicular torsion injury.
Reversing GABA polarity corrects synaptic physiology and behavioural deficits in young adolescent Syngap1+/- mice
Authors: Verma Vijaya , Kumar MJ Vijay , Sharma Kavita , Rajaram Sridhar , Muddashetty Ravi , Manjithaya Ravi , Behnisch Thomas , Clement James
Published: July 2021

Haploinsufficiency in SYNGAP1 is implicated in Intellectual Disability (ID) and Autism Spectrum disorder (ASD) and affects the maturation of dendritic spines. The abnormal spine development has been suggested to cause disbalance of excitatory and inhibitory (E/I) neurotransmission at distinct developmental periods. In addition, E/I imbalances in Syngap1+/- mice might be due to abnormalities in K+-Cl- co-transporter function (NKCC1, KCC2), in a similar manner as in the murine models of Fragile-X and Rett syndromes. To study whether an altered intracellular chloride ion concentration represents an underlying mechanism of altered function of GABAergic synapses in Dentate Gyrus Granule Cells of Syngap1+/- recordings were performed at different developmental stages of the mice. We observed that neurons at P14-15 of Syngap1+/- mice had depolarised membrane potential and a decreased Cl- reversal potential. The KCC2 expression was decreased compared to Wild-type (WT) mice at P14-15. Furtherly, the small molecule GSK-3β inhibitor, 6-bromoindirubin-3`-oxime (6BIO), was tested in an attempt to restore the function of GABAergic synapses. We discovered that intraperitoneal administration of 6BIO during the critical period or young adolescents normalized an altered E/I balance, the deficits of synaptic transmission, and behavioral performance like social novelty, anxiety, and memory of the Syngap1+/- mice. In summary, altered functionality of GABAergic synapses in Syngap1+/- mice is based on a reduced KCC2 expression and a subsequent increase in the intracellular chloride concentration that can be counteracted by the small molecule 6BIO. The 6BIO sufficiently restored cognitive, emotional, and social symptoms by pharmacological intervention, particularly, in adulthood.
Bank Transaction Analyze for Recognize of Money Laundering Using Decision Tree Algorithm (DTA)
Authors: DadashzadehFahim Somayeh , Karimi Ramin , Faghihrasoul Zahra
Published: July 2021

Bank Transaction Analyze for Recognize of Money Laundering Using DTA One of the important problems of the banking systems is illegal transactions based on fraud and money laundering that can destroy the economy and financial foundation of a country. Fraud and money laundering are used to escape from tax payment or inject dirty money to the economy cycle. The offenders use lots of transactions to show their illegal funds rightful. One important problem of fraud and money laundering recognize in banking system is high complexity of it. We need to use knowledge discover methods like learning machine and data mining. We can mostly recognize the hidden pattern of illegal transactions by using various learning machines or data mining like Bayesian Network, DT, Support Vector Machine or Artificial Neural Network. To recognize the pattern and classify the banking transactions, ML methods need to classify in two categories Normal and Abnormal to find suitable features for increase their accuracy. Actually, the feature selection is too important in bank fraud recognition and it is a kind of optimization too because the suitable feature selection causes recognize error go down by techniques like DT. In this research we use DTA to select important features related with bank fraud to decide and knowledge discovery which has a good speed in discover of bank fraud. When the features of bank fraud select in right way and with good accuracy then the accuracy of DT will be increased and we must select those features that are more important to get better accuracy in recognition of fraud and money laundering.
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
Authors: Cao Xiaoyan , Yao Yao , Li Lanqing , Zhang Wanpeng , An Zhicheng , Zhang Zhong , Guo Shihui , Xiao Li , Cao Xiaoyu , Luo Dijun
Published: July 2021

Agriculture is the foundation of human civilization. However, the rapid increase and aging of the global population pose challenges on this cornerstone by demanding more healthy and fresh food. Internet of Things (IoT) technology makes modern autonomous greenhouse a viable and reliable engine of food production. However, the educated and skilled labor capable of overseeing high-tech greenhouses is scarce. Artificial intelligence (AI) and cloud computing technologies are promising solutions for precision control and high-efficiency production in such controlled environments. In this paper, we propose a smart agriculture solution, namely iGrow: (1) we use IoT and cloud computing technologies to measure, collect, and manage growing data, to support iteration of our decision-making AI module, which consists of an incremental model and an optimization algorithm; (2) we propose a three-stage incremental model based on accumulating data, enabling growers/central computers to schedule control strategies conveniently and at low cost; (3) we propose a model-based iterative optimization algorithm, which can dynamically optimize the greenhouse control strategy in real-time production. In the simulated experiment, evaluation results show the accuracy of our incremental model is comparable to an advanced tomato simulator, while our optimization algorithms can beat the champion of the 2nd Autonomous Greenhouse Challenge. Compelling results from the A/B test in real greenhouses demonstrate that our solution significantly increases production (commercially sellable fruits) (+10.15%) and net profit (+87.07%) with statistical significance compared to planting experts. The data and source codes of our work are provided as supplementary materials, and more details are available at: https://github.com/holmescao/SmartAgricultureSolution-iGrow.
Challenges and priorities in talent management during the global pandemic caused by COVID-19
Authors: Tomcikova Luba , Svetozarovova Nella , Coculova Jana
Published: July 2021

The paper deals with the talent management issue as one of the effective human resource management practices during the global pandemic caused by COVID-19 and points to the main challenges and priorities in the research area. Talent management has undergone a dynamic development in recent years. It has recently become a frequently discussed concept among business and academics alike and one of the priorities of the modern management of all companies. The paper also presents the results of research carried out on a sample of 137 human resources managers. Respondents who participated in the questionnaire survey are human resources managers in companies operating in the Slovak Republic at national and international markets. Data were collected using the online questionnaire. For the research, two research hypotheses were established. The hypotheses aimed to determine whether there are statistically significant relationships between the scale of talent recruitment and selection process over the past year; the change in the management and organizational style of the company during the COVID-19 pandemic; the existence of the statistically significant relationship between the budget allocated to talent management and headhunting practices over the last year. The hypotheses were verified using correlation analysis and the methods of inductive statistics. Testing the statistically significant relationships verified hypothesis H1. It confirmed the existence of statistically significant relationships between the scale of the talent recruitment and selection process over the past year and the change in management and organization of the company during the COVID-19 pandemic. The hypothesis H2 was rejected. It stated the absence of statistically significant relationships between the budget for talent management in the organization during the COVID-19 pandemic and the competition for qualified talent for the last year. The questionnaire survey results pointed how human resources managers in companies operating in the Slovak Republic perceive the situation associated with the current COVID-19 pandemic. The findings identified the pandemic impact on talent management and how human resources managers see human resource management's future and priorities.
Risk-management of public-private partnership innovation projects
Authors: Boiarko Iryna , Tverezovska Oleksandra , Polcyn Jan , Miskiewicz Radoslaw
Published: July 2021

This paper recapitulates the argumentations from various scientific discussion concerning the issue of projects` risk management. The article mainly is aimed to analyze the process of risk-management of the innovation projects in the form of public-private partnership, to describe a methodologies of Failure mode, effects and criticality analysis and Fuzzy comprehensive evaluation model, to use above mentioned models in the evaluation of the stability risk of public-private partnership innovation projects. Previous research studies on the topic of public-private partnership defined the efficiency of state sector and business cooperation in a form of public-private partnership, demonstrated that it will allow making investments in the production capacity development, broaden the scope of domestic and foreign markets, accelerate industrial growth, refine the quality of goods, services and works, business activity and investment attractiveness. Especially it can be achieved through innovation project implementation. Moreover, systematization the results in the overview process of literary sources and approaches in the issue of innovation public-private projects` risk-management problem-solving specifies that a huge number of theoretical and practical problems, especially of risk evaluation is urgent, remain unsolved and still studied not enough nowadays. An underdevelopment of innovation projects’ risk-management system, especially in our country, is conditioned the relevance of that scientific problem additionally existing in the circumstances of complex public-private partnership innovation projects` risks evaluation. Investigation of the topic «Risk management of public-private partnership innovation projects» in the article is fulfilled in the following logical sequence: defining the problems while literature review, focusing on project risk-management issue, describing the methodology of the research, demonstrating the results, and making conclusions. The object of research is the chosen by creating a prototype of innovation project in the infrastructure field, suggested that it will be implemented in the form of public-private partnership.
Effect of servant leadership on the performance of a regional general hospital
Authors: Daswati  , Chintya Dewi Buntuang Pricylia , Hattab Syahruddin , Kornelius Yoberth
Published: July 2021

Currently, leadership becomes the concern of studies in public organizations. However, studies on servant leadership and its impact on hospital performance are still limited. This study aims to identify the relationship and impact of servant leadership on organizational performance (hospital). A quantitative approach was used on a sample of 729 healthcare workers at the Undata Regional General Hospital in Palu. The sampling was based on the Slovin formula with an error rate of 5%, thus it involved 258 respondents. Further, the sample was selected using a random proportional sampling technique to represent each field in the hospital. The data were analyzed using descriptive statistics and simple linear regression analysis with hypothesis testing. The results of descriptive analysis on the servant leadership variable showed that the highest mean value is the item stating that leadership in the hospital has a thorough understanding of the organization and its goals. Meanwhile, the lowest is the item stating that leaders sacrifice their interests less to meet the needs of healthcare workers. In the organizational performance variable, the highest mean value is the item that states that healthcare workers can work effectively every working day, while the lowest is the item of patients complaining about healthcare procedures. Furthermore, the results of regression analysis through hypothesis testing showed that servant leadership has a significant effect on organizational performance of hospitals with a strong level of relationships.
DESINTERESSE ESCOLAR: UM ESTUDO SOBRE O TEMA A PARTIR DE TESES E DISSERTAÇÕES
Authors: Casasanta Garcia Ana Luiza , Raquiel Halmenschlager Karine , Maurício Brick Elizandro
Published: July 2021

Este trabalho tem como objetivo apresentar um panorama da produção acadêmica a respeito da temática “desinteresse escolar” a partir do mapeamento de teses e dissertações que abordam o assunto. Metodologicamente, realizou-se uma revisão de literatura sistemática no banco de teses e dissertações da Capes, com a qual foram localizados 46 estudos. A análise foi realizada por meio da leitura do título e do resumo dos trabalhos, com base nas seguintes categorias emergentes: (1) desinteresse pela educação escolar; (2) implicações do desinteresse do aluno na atividade docente; (3) desinteresse como uma construção sócio-histórica; ligado a aspectos sociais e (4) desinteresse associado à indisciplina, abandono, evasão e desempenho escolar. Dentre os resultados, destaca-se que apesar da escola ser entendida como um espaço significativo para adquirir conhecimentos e ser uma “promessa para um futuro melhor”, a falta de interesse dos estudantes é um fenômeno presente e que marca tanto a trajetória escolar destes, quanto afeta a saúde mental do corpo docente. Foi possível inferir, ainda, que o desinteresse envolve diferentes dimensões, podendo estar relacionado tanto a disciplinas específicas quanto ao processo de aprendizagem escolar de modo geral.
Influence of diffuser design on selected operating variables for wastewater flotation systems: a review
Authors: Mukandi M. R. , Basitere M. , Okeleye B. I. , Chidi B. S. , Ntwampe S. K. O. , Thole A.
Published: July 2021

Air diffusers or spargers have been used in separation processes that include conventional wastewater treatment. Over the years, there have been advancements in diffuser design in terms of shape, pore size, orientation and materials of construction as a way of mitigating challenges such as fouling, clogging, energy consumption and poor system efficiency. Some of the available air diffusers are inadequate to solve most of these challenges due to reduced quality and increased quantity of wastewater being treated. Additionally, there is a paucity of information regarding air diffuser design and their effect on operational parameters in wastewater treatment. This review seeks to address the advancement in diffuser design and also the effects of design factors including parameters of air diffusers with a focus of their use in a column flotation system for wastewater treatment.
Photocatalytic degradation of hydroxychloroquine using ZnO supported on clinoptilolite zeolite
Authors: da Silva Patricia Lacchi , Nippes Ramiro Picoli , Macruz Paula Derksen , Hegeto Fábio Luís , Scaliante Mara Heloísa Neves Olsen
Published: July 2021

The objective of this work was to evaluate the photocatalytic activity of zinc oxide catalysts supported on natural zeolite clinoptilolite for photocatalytic degradation of the drug hydroxychloroquine, used in the treatment of malaria and which has been tested in the treatment of COVID-19. To synthesize 10%ZnOCP and 15%ZnOCP catalysts, the wet impregnation methodology was used. The raw and synthesized catalysts were characterized by XRD, SEM, XRF, BET, DRS, PCZ, FT-IR and PL. The degradation of hydroxychloroquine was calculated using UV-vis absorption from the samples before and after the photocatalytic process. The maximum percentage of degradation (96%) was obtained with the operational parameters of C0 = 10 mg L−1; Ccat = 2 g L−1 of 15%ZnOCP; pH = 7.5; UV-A radiation. Ecotoxicological tests against the bioindicators Lactuca sativa and Artemia salina confirmed the reduction of effluent toxicity after treatment.
GAG Multivalent Systems to Interact with Langerin
Authors: Rojo Javier , Nieto Pedro M. , de Paz José L.
Published: July 2021

:

Langerin is a C-type Lectin expressed at the surface of Langerhans cells, which play a pivotal
role protecting organisms against pathogen infections. To address this aim, Langerin presents at least
two recognition sites, one Ca2+-dependent and another one independent, which are capable to recognize
a variety of carbohydrate ligands. In contrast to other lectins, Langerin recognizes sulfated glycosaminoglycans
(GAGs), a family of complex and heterogeneous polysaccharides present in the cell membrane
and the extracellular matrix, at the interphase generated in the trimeric form of Langerin but absent
in the monomeric form. The complexity of these oligosaccharides has impeded the development of
well-defined monodisperse structures to study these interaction processes. However, in the last few
decades, an improvement of synthetic developments to achieve the preparation of carbohydrate multivalent
systems mimicking the GAGs has been described. Despite all these contributions, very few examples
are reported where the GAG multivalent structures are used to evaluate the interaction with
Langerin. These molecules should pave the way to explore these GAG-Langerin interactions.
The Role of SIRT1 in Neuropathic Pain from the Viewpoint of Neuroimmunity
Authors: Fan Youjia , Dong Rong , Zhang Honghai , Yu Buwei , Lu Han
Published: July 2021

:

The current clinical first-line treatment of neuropathic pain still considers only the nervous system as
the target, and its therapeutic effect is limited. An increasing number of studies support the opinion that neuropathic
pain is a result of the combined action of the sensory nervous system and the related immune system.
Under physiological conditions, both the nervous system and the immune system can maintain homeostasis by
adjusting the mitochondrial function when sensing noxious stimulation. However, in the case of neuropathic
pain, mitochondrial regulatory dysfunction occurs, which may result from the decreased expression of SIRT1.
In this study, we review the role of SIRT1 in neuropathic pain from the viewpoint of neuroimmunity.
Progress and Prospects of Developing Climate Resilient Wheat in South Asia Using Modern Pre-Breeding Methods
Authors: Sukumaran Sivakumar , Krishna Hari , Singh Kuldeep , Mottaleb Khondoker Abdul , Reynolds Matthew
Published: July 2021

:

Developing climate-resilient wheat is a priority for South Asia since the effect of climate
change will be pronounced on the major crops that are staple to the region. South Asia must
produce >400 million metric tons (MMT) of wheat by 2050 to meet the demand. However, the current
average yield <3 t/ha is not sufficient to meet the requirement. In this review, we are addressing
how pre-breeding methods in wheat can address the gap in grain yield as well as reduce the
bottleneck of genetic diversity. Physiological pre-breeding which incorporates screening of diverse
germplasm from gene banks for physiological and agronomic traits, the strategic crossing of complementary
traits, high throughput phenotyping, molecular markers-based generation advancement,
genomic prediction, and validation of high-value heat and drought tolerant lines to South Asia can
help to alleviate the drastic effect of climate change on wheat production. There are several gene
banks, if utilized well, can play a major role in breeding for climate-resilient wheat. CIMMYT’s
wheat physiological pre-breeding has delivered several hundred lines via the Stress Adapted Trait
Yield Nursery (SATYN) to the NARS in many South Asian countries; India, Pakistan, Nepal,
Bangladesh, Afghanistan, and Iran. Some of these improved germplasms have resulted in varieties
for farmer's field. We conclude the review by pointing out the importance of collaborative interdisciplinary
translational research to alleviate the effects of climate change on wheat production in
South Asia.
New Pharmacological Targets for the Treatment of Schizophrenia: A Literature Review
Authors: Ventriglio Antonio , Bellomo Antonello , Ricci Fabiana , Magnifico Giuseppe , Rinaldi Angelo , Borraccino Luisa , Piccininni Carla , Cuoco Federica , Gianfelice Giulia , Fornaro Michele , Delle Monache Sonia , De Berardis Domenico
Published: July 2021

Background:

The pharmacological treatment of schizophrenia is currently based on the
employment of antipsychotic medications showing an antagonism of dopaminergic and serotoninergic
inhibitors. 20-40% of patients are drug-resistant or residually symptomatic in the long-term antipsychotic
treatment, and new strategies are needed for improving their functional and cognitive
impairment.

Methods:

This systematic review has summarized evidences from the literature regarding the newer
pharmacological targets proposed for the treatment of psychosis. We included 128 peer-reviewed
articles and 5 other relevant sources published from 2002 to 2020 on PubMed EMBASE,
The Cochrane Library, and Google Scholar.

Results:

The possible role of glutamate and its receptors as targets of the antipsychotic mechanism
of action has been described. Glutamatergic neurotransmission and NMDA receptors hypofunction
are involved in the neurobiological explanatory model of psychosis and possibly targeted for the
successful treatment of cognitive and residual symptoms. Results show an efficacy of D-cycloserine
(antagonist at the Glycine site of the NMDA-R) in the treatment of negative symptoms of
schizophrenia as well as Memantine (NMDA- Receptor antagonist) for cognition and psychopathology.
The putative antipsychotic effect of cannabidiol on positive symptoms and cognition will also
be discussed. The action on serotoninergic and GABAergic receptors will be considered as a new
pharmacological target, with a possible efficacy of Vabicaserin on symptoms of psychosis. Mynocicline
has shown to induce improvements in cognitive symptoms in schizophrenia, as well as Erythropoietin.
Oxytocin has been reported to have an antipsychotic-like effect; moreover, COX-2 inhibitors
lead to a reduction in positive symptoms of psychosis, specifically in the first episode of illness.

Conclusion:

This narrative report suggests a promising role of new agents in the treatment of Schizophrenia;
however, more research is needed to approve their clinical employment.
AN ANALYSIS OF INDONESIAN MILKFISH UPSTREAM SUPPLY CHAIN: SYSTEM DYNAMICS APPROACH
Authors:   Universitas Brawijaya, Eunike Agustina , Sugiono Sugiono , Pambudi Tama Ishardita , Widiyawati Sri , D.A. Pramono Galih , Yuniarti Rahmi
Published: July 2021

Milkfish is common aquaculture product consumed by Indonesian people. However, the ponds of milkfish in Indonesia manage by Small Medium Enterprises scale of farmers which have problems in sustaining the business. This study proposes supply chain analysis in the upstream level to develop strategic to improve the profit of milkfish farmers. Milkfish supply chain is a network of many actors that work together to create and deliver milkfish and its culinary products to the end-user. This paper defines the partnership strategies between the farmers and suppliers as well as the support from government as facilitator and regulator. Moreover, system dynamic approach analyses the scenarios of partnership to outline the benefit obtain by the milkfish supply chain. Finally, the simulation results recommend the partnership to fertilizer supplier will give significant increase in profit of the milkfish farmers.
PRODUCTION MACHINE INFORMATION SYSTEM BASED ON TECHNOLOGY GROUP IN RELATIONAL DATABASE ENVIRONMENT
Authors:   Universitas Brawijaya, Farhan Ahmad , Sumantri Yeni , Budi Santoso Purnomo
Published: July 2021

The world is entering industry 4.0. The digital enlarges to machine maintenance known as troubleshooting. Troubleshooting is a series of actions needed to deal with machine damage treatment. Problems that often occur in troubleshooting are that technicians are not in the location, the information is still in the form of printed books, the risk of books being lost, books slipping, and the location of books far from the location of machine failure. This research was to solve this problem by developing an application called Production Machine Troubleshooting Information System (SITMEP) in relational database environment. This system was developed by integrating several methods such as machine damage knowledge obtained from tacit sourced from mechanical technicians, experts in their fields and explicit knowledge sourced from machine manual books. GT is to combine knowledge with machine hierarchies and it supports systems for database and SQL. The tool used was MS Access with VBA.
Clasificación de los murciélagos de la región de los Tuxtlas, Veracruz, respecto a su respuesta a la fragmentación del hábitat
Authors: Galindo González Jorge
Published: July 2021

I propose three types of bat species according to their response to habitat fragmentation in Los Tuxtlas region: Type I (habitat dependent), Type II (vulnerable), and Type III (adaptable). Effects of habitat fragmentation on bat genetic structure will be primarily patent on Type I bats, and the major effect will be observed at long term.
PENGEMBANGAN MODUL PEMBELAJARAN MEKANIKA TEKNIK UNTUK SMK KELAS X KOMPETENSI KEAHLIAN DESAIN PERMODELAN DAN INFORMASI BANGUNAN
Authors: Putra Yohan Adi , Hariyanto V. Lilik
Published: July 2021

Pada kegiatan pembelajaran, penggunaan modul merupakan salah satu langkah untuk meningkatkan kualitas pembelajaran pada siswa. Penelitian ini memiliki tujuan mengembangkan media pembelajaran modul Mekanika Teknik untuk kelas X SMK kompetensi keahlian Desain Permodelan dan Informasi Bangunan. Penelitian ini merupakan penelitian Research and Development (R&D) dengan model penelitian pengembangan siklus 4D (Define, Design, Development and Disseminate). Metode pengumpulan data yang digunakan adalah angket. Angket meliputi angket penilaian kelayakan media, angket penilaian kelayakan materi, angket penilaian kelayakan menurut guru mekanika teknik, dan angket penilaian proses pengembangan. Teknik analisis data yang digunakan adalah analisis statistik deskriptif. Hasil penelitian menunjukkan bahwa: (1) Tahap define dilaksanakan dengan sangat baik didapatkan skor 40 berada pada rentang 37,8 < X dan nilai konversi skala 100 sebesar 86,11; (2) Tahap design dilaksanakan dengan sangat baik didapatkan skor maksimal 20 berada pada rentang 16,8 < X dan nilai konversi sebesar 100; (3) Tahap development dilaksanakan dengan sangat baik didapatkan skor 19 berada pada rentang 16,8 < X dan nilai konversi sebesar 93,75. Hasil validasi adalah sebagai berikut: a) ahli media menyatakan modul “sangat layak” dengan skor 222 berada pada rentang 197,4 < X dan nilai konversi sebesar 93,085, b) ahli materi menyatakan modul “layak” dengan skor 163 berada pada rentang 142,8 < X < 176,4 dan nilai konversi sebesar 72,023, c) guru menyatakan modul “sangat layak” dengan skor 207 berada pada rentang 176,4 < X dan nilai konversi sebesar 98,21; (4) Tahap disseminate dilaksanakan dengan sangat baik didapatkan skor 5 berada pada rentang 4,2 < X dan nilai konversi sebesar 100.
Developing assessment in improving students' digital literacy skills
Authors: Amnie Erlida , Rosidin Undang , Herlina Kartini , Abdurrahman Abdurrahman
Published: July 2021

This research aims to develop an assessment of problem solving skills in improving students digital literacy skills. This research is directed to produce physics learning assessments that can improve students digital literacy, namely by using problem solving skills assessments. The use of assessments that refer to the problem solving skills stage is expected to improve students digital literacy. The study is an R&D research with the Borg & Gall development model. On the preliminary research, questionnaire is needed to detect need analysis of an assessment that can help improving student digital literacy skills. Questionnaires were used to collect expert review data, while cognitive tests were used to collect data on students problem solving skills. Cognitive tests by posttest form was held to find out the progress of students understanding during learning process using the products. The results of content validity by Aiken’s V is 0,80. The factor analysis is looked by The Bartlett test value with Chi-squares = 1.604 and significant at 0.659. Therefore, the problem-solving skills assessment from the aspect of content and construction has valid criteria and is suitable for use. The N-Gain test results of students problem-solving skills in the experimental class by 0.3 with a quite effective category higher than the control class of 0.12 with a quite effective category. The results show that the use of assessment of problem-solving skills effectively improved students digital literacy skills.
Practical approaches to exercise testing
Authors: Rebrov B. A. , Rebrova O. A. , Blagodarenko A. B. , Bludova N. G.
Published: July 2021

Today, regular physical activity is considered to be an important part of the treatment for many CVDs. Exercise tests are used to determine exercise tolerance and to assess cardiovascular risk. This review outlines the most common methods for assessing exercise tolerance (cycloergometric test and treadmill tests) that have a high diagnostic and prognostic value and allow the specialists to draw reliable conclusions about the patient’s physical activity. The results of stress tests are of great importance in determining further tactics of patient’s management with cardiovascular pathology. Attention is also paid to the issues of cardiopulmonary stress test, which is the most reliable research method, according to the latest international recommendations. However, it is associated with difficulties in conducting and interpreting the research results. The feasibility and effectiveness of tests with the exclusion of the pulmonary component in cardiac patients have been shown for widespread use. A systematic literature search was carried out in databases Medline, Scopus, Web of Science, and Elibrary.
Development and Evaluation of a Decision Aid to Support Patients’ Participatory Decision-Making for Tumor-Specific and Palliative Therapy for Advanced Cancer: Protocol for a Pre-Post Study
Authors: Laryionava Katsiaryna , Schildmann Jan , Wensing Michael , Wedding Ullrich , Surmann Bastian , Woydack Lena , Krug Katja , Winkler Eva
Published: July 2021

Background

To support advanced cancer patients and their oncologists in therapeutic decisions, we aim to develop a decision aid (DA) in a multiphased, bicentric study. The DA aims to help patients to better understand risks and benefits of the available treatment options including the options of standard palliative care or cancer-specific treatment (ie, off-label drug use within an individual treatment plan).

Objective

This study protocol outlines the development and testing of the DA in a pre-post study targeting a heterogeneous population of advanced cancer patients.

Methods

In the first step, we will assess patients’ information and decisional needs as well as the views of the health care providers regarding the content and implementation of the DA. Through a scoping review, we aim to analyze specific characteristics of the decision-making process and to specify the treatment options, outcomes, and probabilities. An interdisciplinary research group of experts will develop and review the DA. In the second step, testing of the DA (design and field testing) with patients and oncologists will be conducted. As a last step, we will run a pre-post design study with 70 doctor-patient encounters to assess improvements on the primary study outcome: patients’ level of decisional conflict. In addition, the user acceptance of all involved parties will be tested.

Results

Interviews with cancer patients, oncologists, and health care providers (ie, nurses, nutritionists) as well as a literature review from phase I have been completed. The field testing is scheduled for April 2021 to August 2021, with the final revision scheduled for September 2021. The pre-post study of the DA and acceptance testing are scheduled to start in October 2021 and shall be finished in September 2022.

Conclusions

A unique feature of this study is the development of a DA for patients with different types of advanced cancer, which covers a wide range of topics relevant for patients near the end of life such as forgoing cancer-specific therapy and switching to best supportive care.

Trial Registration

ClinicalTrials.gov NCT04606238; https://clinicaltrials.gov/ct2/show/NCT04606238.

International Registered Report Identifier (IRRID)

DERR1-10.2196/24954
Examination of a Canada-Wide Collaboration Platform for Order Sets: Retrospective Analysis
Authors: Javidan Arshia Pedram , Brand Allan , Cameron Andrew , D'Ovidio Tommaso , Persaud Martin , Lewis Kirsten , O'Connor Chris
Published: July 2021

Background

Knowledge translation and dissemination are some of the main challenges that affect evidence-based medicine. Web 2.0 platforms promote the sharing and collaborative development of content. Executable knowledge tools, such as order sets, are a knowledge translation tool whose localization is critical to its effectiveness but a challenge for organizations to develop independently.

Objective

This paper describes a Web 2.0 resource, referred to as the collaborative network (TCN), for order set development designed to share executable knowledge (order sets). This paper also analyzes the scope of its use, describes its use through network analysis, and examines the provision and use of order sets in the platform by organizational size.

Methods

Data were collected from Think Research’s TxConnect platform. We measured interorganization sharing across Canadian hospitals using descriptive statistics. A weighted chi-square analysis was used to evaluate institutional size to share volumes based on institution size, with post hoc Cramer V score to measure the strength of association.

Results

TCN consisted of 12,495 order sets across 683 diagnoses or processes. Between January 2010 and March 2015, a total of 131 health care organizations representing 360 hospitals in Canada downloaded order sets 105,496 times. Order sets related to acute coronary syndrome, analgesia, and venous thromboembolism were most commonly shared. COVID-19 order sets were among the most actively shared, adjusting for order set lifetime. A weighted chi-square analysis showed nonrandom downloading behavior (P<.001), with medium-sized institutions downloading content from larger institutions acting as the most significant driver of this variance (chi-gram=124.70).

Conclusions

In this paper, we have described and analyzed a Web 2.0 platform for the sharing of order set content with significant network activity. The robust use of TCN to access customized order sets reflects its value as a resource for health care organizations when they develop or update their own order sets.
Hospital Productivity After Data Breaches: Difference-in-Differences Analysis
Authors: Lee Jinhyung , Choi Sung J
Published: July 2021

Background

Data breaches are an inevitable risk to hospitals operating with information technology. The financial costs associated with data breaches are also growing. The costs associated with a data breach may divert resources away from patient care, thus negatively affecting hospital productivity.

Objective

After a data breach, the resulting regulatory enforcement and remediation are a shock to a hospital’s patient care delivery. Exploiting this shock, this study aimed to investigate the association between hospital data breaches and productivity by using a generalized difference-in-differences model with multiple prebreach and postbreach periods.

Methods

The study analyzed the hospital financial data of the California Office of Statewide Health Planning and Development from 2012 to 2016. The study sample was an unbalanced panel of hospitals with 2610 unique hospital-year observations, including general acute care hospitals. California hospital data were merged with breach data published by the US Department of Health and Human Services. The dependent variable was hospital productivity measured as value added. The difference-in-differences model was estimated using fixed effects regression.

Results

Hospital productivity did not significantly differ from the baseline for 3 years after a breach. Data breaches were not significantly associated with a reduction in hospital productivity. Before a breach, the productivity of hospitals that experienced a data breach maintained a parallel trend with control hospitals.

Conclusions

Hospital productivity was resilient against the shocks from a data breach. Nonetheless, data breaches continue to threaten hospitals; therefore, health care workers should be trained in cybersecurity to mitigate disruptions.
Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study
Authors: Marengo Davide , Sariyska Rayna , Schmitt Helena Sophia , Messner Eva-Maria , Baumeister Harald , Brand Matthias , Kannen Christopher , Montag Christian
Published: July 2021

Background

Social communication via instant messaging (IM) and social networking (SN) apps makes up a large part of the time that smartphone users spend on their devices. Previous research has indicated that the excessive use of these apps is positively associated with problematic smartphone use behaviors. In particular, image-based SN apps, such as Instagram (Facebook Inc) and Snapchat (Snap Inc), have been shown to exert stronger detrimental effects than those exerted by traditional apps, such as Facebook (Facebook Inc) and Twitter (Twitter Inc).

Objective

In this study, we investigated the correlation between individuals’ tendencies toward smartphone use disorder (SmUD) and objective measures of the frequency of smartphone usage. Additionally, we put to test the hypothesis that the pathway linking the frequency of actual smartphone usage to self-reported tendencies toward SmUD was mediated by the increased frequency of IM and SN app usage.

Methods

We recruited a sample of 124 adult smartphone users (females: 78/124, 62.9%; age: mean 23.84 years, SD 8.29 years) and collected objective information about the frequency of smartphone and SN app usage over 1 week. Participants also filled in a self-report measure for assessing the multiple components of tendencies toward SmUD. Bivariate associations were investigated by using Spearman correlation analyses. A parallel mediation analysis was conducted via multiple regression analysis.

Results

The frequency of smartphone usage, as well as the use of IM apps (Messenger, Telegram, and WhatsApp [Facebook Inc]), Facebook, and image-based apps (Instagram and Snapchat), had significant positive associations with at least 1 component of SmUD, and the cyberspace-oriented relationships factor exhibited the strongest associations overall. We found support for an indirect effect that linked actual smartphone usage to SmUD tendencies via the frequency of the use of image-based SN apps.

Conclusions

Our novel results shed light on the factors that promote SmUD tendencies and essentially indicate that image-based SN apps seem to be more strongly associated with problematic smartphone behaviors compared to IM apps and traditional SN apps, such as Facebook.
Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study
Authors: Chang Panchun , Dang Jun , Dai Jianrong , Sun Wenzheng
Published: July 2021

Background

The dynamic tracking of tumors with radiation beams in radiation therapy requires the prediction of real-time target locations prior to beam delivery, as treatment involving radiation beams and gating tracking results in time latency.

Objective

In this study, a deep learning model that was based on a temporal convolutional neural network was developed to predict internal target locations by using multiple external markers.

Methods

Respiratory signals from 69 treatment fractions of 21 patients with cancer who were treated with the CyberKnife Synchrony device (Accuray Incorporated) were used to train and test the model. The reported model’s performance was evaluated by comparing the model to a long short-term memory model in terms of the root mean square errors (RMSEs) of real and predicted respiratory signals. The effect of the number of external markers was also investigated.

Results

The average RMSEs of predicted (ahead time=400 ms) respiratory motion in the superior-inferior, anterior-posterior, and left-right directions and in 3D space were 0.49 mm, 0.28 mm, 0.25 mm, and 0.67 mm, respectively.

Conclusions

The experiment results demonstrated that the temporal convolutional neural network–based respiratory prediction model could predict respiratory signals with submillimeter accuracy.
The Associations Between Mental Health Problems and Attitudes Toward Web-Based Health and Social Care Services: Evidence From a Finnish Population-Based Study
Authors: Rantanen Teemu , Gluschkoff Kia , Silvennoinen Piia , Heponiemi Tarja
Published: July 2021

Background

The significance of web-based health and social care services has been highlighted in recent years. There is a risk that the digitalization of public services will reinforce the digital and social exclusion of vulnerable groups, such as individuals with mental health problems.

Objective

This study aims to examine the associations between mental health problems and attitudes toward web-based health and social care services in the general population. The attitudes measured include lack of interest, perceived need for face-to-face encounters, and concern for safety. The study also evaluates whether sociodemographic characteristics (age, gender, education level, and poverty) modify these associations.

Methods

Cross-sectional population-based data were collected from 4495 Finnish adults in 2017. Linear regression was used to examine the main effects and interactions of poor mental health and sociodemographic characteristics on attitudes toward web-based health and social care services.

Results

The results show that mental health was associated with attitudes toward web-based health and social care services. Individuals with mental health problems were especially concerned about the safety of web-based services. Poor mental health was independently associated with negative attitudes toward web-based services over the effects of sociodemographic factors. Some of the associations between poor mental health and negative attitudes toward web-based services were stronger among older people and men. With regard to sociodemographic characteristics, particularly higher age, low education, and poverty were associated with negative attitudes toward web-based health and social care services.

Conclusions

Poor mental health is associated with negative attitudes toward web-based health and social care services and thus indirectly with exclusion. It seems that being older and being male both reinforce the link between poor mental health and exclusion. In supporting the digital inclusion of people with mental health problems, attention should be paid to guidance and counseling, reliability, and the user-friendliness of web-based services as well as to the prevention of poverty. In addition, it is essential to see web-based services as complementary to, and not a substitute for, face-to-face services.
The Influence of Gamification and Information Technology Identity on Postadoption Behaviors of Health and Fitness App Users: Empirical Study in the United States
Authors: Esmaeilzadeh Pouyan
Published: July 2021

Background

The use of health and fitness apps has been on the rise to monitor personal fitness and health parameters. However, recent research discovered that many users discontinue using these apps after only a few months. Gamification has been suggested as a technique to increase users’ interactions with apps. Nevertheless, it is still not clear how gamification mechanisms encourage continued use and inspire user self-management.

Objective

The main objective of this study was to articulate how gamification mechanisms in studies of designing and using health and fitness apps can contribute to the realization of information technology (IT) identity and positive behavioral outcomes. The broader goal was to shed light on how gamification mechanisms will translate into positive use behaviors in the context of mobile health apps.

Methods

Data were collected from 364 users of health and fitness apps through an online survey to empirically examine the proposed model.

Results

Based on identity theories, this study suggests the fully mediating role of IT identity to describe how gamification elements can lead to continued intention to use health and fitness apps, and increase users’ tendency for information sharing through the apps. The findings indicate that perceived gamification can increase users’ IT identity. In turn, a higher IT identity would encourage users to continue using the apps and share more personal health information with others through the apps.

Conclusions

The results of this study can have practical implications for app designers to use gamification elements to increase users’ dependency, relatedness, and emotional energy associated with health apps. Moreover, the findings can have theoretical contributions for researchers to help better articulate the process in which gamification can be translated into positive use behaviors.