bluuebunny/crossref_metadata_2025 huggingface dataset:
The discursive practices of the research program of B. F. Lomov in promotion of Soviet engineering psychology
Authors:   Moscow State Institute of International Relations (MGIMO University), Konnov Vladimir
Published: June 2022

The article discusses a series of publications by B.F.Lomov from the 1960s aimed at promoting engineering psychology, with the analysis based on discourse analysis and political sociology of science and using articles grouped and examined in terms of print to appeal to different audiences: party elite, midlevel administrators, academia, and psychologists. The emphasis is on practices used to associate engineering psychology with the interests of relevant groups. The rise of the cybernetics movement, which aimed to consolidate scientific disciplines and to expand the political influence of science, is considered as a general context for the application of Lomov’s discursive practices. In this situation, engineering psychology had the advantage of being the branch of psychological research that was closest to the approaches of cybernetics and had the best growth opportunities in the context of the expanding influence of the latter. This trend met with natural resistance from groups that initially found themselves disconnected from cybernetics. These included groups in the humanities involved in political campaigns in science of the 1940s–1950s, including the anticybernetic campaign, as well as part of the bureaucracy that dealt with economic planning, a task that could be most affected by the rise of computer technology. Lomov built his discursive strategy in such a way as to anticipate possible critical attacks. The practices he worked out in publications under examination largely predetermined the practices that he used to promote psychology, acting as director of the Institute of Psychology in the next two decades, and thus had a noticeable impact on the development of Soviet psychology as a whole.
The teacher: A few words of appreciation for Iosif Markovich Paley
Authors:   Lomonosov Moscow State University, Egorova Marina
Published: June 2022

The article explores I.M. Paley, one of the most prominent representatives of the Ananyev psychological school. The scientific life of I. M. Paley focused on studies of individual differences. He made a significant contribution to the constitution of the Leningrad / St Petersburg differential psychological school. His intensive scientific communication with representatives of Moscow and Perm differential psychological schools (especially with V. D.Nebylitsyn and V. S.Merlin) contributed to the integration of Russian differential psychology and the creation of common theoretical guidelines and comparable diagnostic methods. His psychological and psychophysiological studies were devoted to describing individual differences, explaining their origins (based on inter-level associations), and predicting behavior (how differences in properties of the nervous system, temperament, intelligence, and personality lead to variation in behavioral responses). His research interests addressed the structure and functions of personality with specific interest in the developmental stability and plasticity. Paley believed that an analysis of interlevel relations in the structure of the personality, as well as the elucidation of reasons for the relationship, are the key to understanding the integrity of the individual. In studies conducted under his leadership not only nomothetic, but also idiographic methods of analysis were used, especially micro-longitudinal studies, which allowed the estimation of intraindividual variability. He paid much attention to the methodology of psychological research: the analysis of research schemes, the development and adaptation of diagnostic methods, and the adequate use of statistical methods. Paley was a talented lecturer who taught people to see both the variety of personality manifestations and the variety of their determinants. He designed the first course of lectures in Russia dedicated to differential psychology of the personality. Perhaps his greatest strength was his scientific supervision, in which professional competence, scientific honesty, and genuine interest were combined with an amazing ability to enthrall the students. Science is a dialogue between nature and humanity. Paley knew how to hear the questions that arise in this dialogue and helped us, his students, to master this ability.
Neural network model predictions for phosphorus management strategies on tile-drained organic soils
Authors: Grenon Geneviève , Hamrani Abderrachid , Madramootoo Chandra A. , Singh Bhesram , von Sperber Christian
Published: June 2022

The organic soils of Holland Marsh, Ontario are used for intensive vegetable production, which demands high-phosphorus (P) fertilizer applications. Such high-fertilizer applications on these tile-drained lands lead to eutrophication in surrounding water bodies. This study investigated the application of neural network (NN) models for deriving P management strategies. Seven NN models were assessed using the following two approaches: a time series with 1-year training and 1-year testing of the models and a randomization analysis where a random 80% of data was used for model training and the remainder for model testing. The feed-forward model using the randomization and the long-short-term memory model using time-series outperformed all other models. Two strategies for P management were evaluated: a direct approach that predicts P loads using new fertilizer rates or controlled drainage discharge rates, and a particle swarm optimization (PSO) that used a percent reduction of actual P loads to predict an optimal water table management strategy. Overall, the direct approach identified a water table level of 30 cm from the soil surface during the spring and 80 cm during the summer period as optimal to reduce P loads. The PSO analysis showed that a reduction of P loads by 20% in the spring and up to 40% in the summer through water table control would not compromise crop production.
Date production in the Al-Hassa region, Saudi Arabia in the face of climate change
Authors: Almutawa Athari Abdulaziz
Published: June 2022

One of the major crops produced in Saudi Arabia is the date palm tree, Phoenix dactylifera L., as it can tolerate the harsh desert climate. One of the largest palm production areas in Saudi Arabia is the Al-Hassa oases, it has approximately 3 million date palms. However, by the end of the 21st century (2071–2100), climate change impacts will create a strain on the date production industry in the Al-Hassa region. Therefore, current practices need to be altered and various strategies must be adopted as changing the industry or moving regions are not viable options. This paper examines the impact of possible global warming based on various general circulation models, regional climate models, and scenarios developed by the Intergovernmental Panel on Climate Change Special Report on Emission Scenarios on the climate in Al-Hassa by mid and end of the century. This paper discusses how these effects may impact date production and its distribution in the study area based on the resources available and on an individual, community, regional, national, and global scale. Possible options for sustaining the industry and what barriers or limitations may be faced by the proposed adaptation measures are discussed in this paper.
Inactivation of Escherichia coli by atmospheric pressure plasma jet in water
Authors: Bakhshzadmahmoudi Mehdi , Morshedian Nader , Mehramiz Ahmad , Kharaghani Manijeh
Published: June 2022

The main aim of this work is inactivation of Escherichia coli in water using a laboratory-scale radio-frequency atmospheric pressure Argon plasma jet. This bacterium is widely present in the environment, especially in drinking water, and its pathogenic effects are very harmful. For this purpose, an Argon flow rate of 3.5 slm, maximum plasma power of 200 W, and discharge frequency of 13.56 MHz was conducted to generate a uniform plasma plume for water treatment. 150 ml of drinking water contaminated by E. coli was exposed to the radiation of plasma placed about 3 cm within the water, the treatment time varied from 2 to 6 minutes at 100, 150, and 200 W of plasma input power. The temperature of the plume, discharge current and voltage, and electron density were all measured to characterize the plasma. Active species such as excited molecules, ions, and radicals produced in the plasma in water were detected using the optical emission spectroscopy method. The decreasing behavior of live bacteria versus exposure time and plasma jet input power was observed, and finally, at the discharge power of 200 W and 6 min, an effective inactivation was achieved and the number of bacteria reduced from 92×104 to less than 1.7 MPN/100 ml.
Unraveling the Structure-Dependent Inhibitory Effects of Ginsenoside Series Compounds
on Human Cytochrome P450 1B1
Authors: Zhao Tingting , Chen Xiaodong , Yu Hong , Du Jie , Wang Dalong , Wang Changyuan , Meng Qiang , Sun Huijun , Liu Kexin , Wu Jingjing
Published: June 2022

Background:

Cytochrome P450 1B1(CYP1B1) is an extrahepatic P450 isoenzyme that can participate in
processes of undermining the effectiveness and safety of anti-cancer therapy. Ginsenosides are the main active ingredients
in ginseng, which possesses rich pharmacological activities, including anti-cancer activity and organ protection.
However, the effect of ginsenosides on the activity of CYP1B1 remains unclear.

Objective:

The present study aimed to investigate the inhibitory effect of ginsenosides on CYP1B1 and reveal the
structure-inhibitory activity relationship.

Methods:

Firstly, recombinant CYP1B1 and EROD reactions were used to evaluate the inhibitory effect of ginsenosides.
Secondly, molecular docking was used to simulate the interactions between ginsenosides and CYP1B1. Finally,
the structure-inhibitory activity relationship was analyzed.

Results:

The ginsenosides, Rb2, Rd, and Rg3, significantly inhibited CYP1B1; the ginsenoside Rd showed the
strongest inhibition effect, with a Ki value of 47.37 μM in non-competitive mode. Notably, ginsenoside Rd formed
hydrogen bonds with two key amino acid residues of CYP1B1, and one bond was between the glycosyl in position
20 and ALA330, which also made ginsenoside Rd close to the heme iron of CYP1B1. In contrast, ginsenosides, Rb2
and Rg3, which showed weaker inhibition, interacted with only one CYP1B1 residue by the hydrogen bond, which
was far away from the heme iron. Finally, the structure-inhibitory activity relationship analysis demonstrated that the
number of glycosyls in position 20 and the type of sapogenins in the ginsenoside structure are the key factors determining
inhibitory activity. Meanwhile, ALA330 was a vital amino acid in the potent inhibition of CYP1B1 by ginsenosides.

Conclusion:

A structure-dependent inhibitory effect on CYP1B1 was revealed for ginsenosides, among which ginsenoside
Rd showed the strongest inhibition due to its mono-glycosyl in position 20 of the ginsenoside parent structure.
These findings would provide evidence for the synthesis of novel CYP1B1 inhibitors to augment the anti-cancer
therapeutic effect.
Fabry Disease: Current and Novel Therapeutic Strategies. A Narrative
Review
Authors: Palaiodimou Lina , Kokotis Panagiotis , Zompola Christina , Papagiannopoulou Georgia , Bakola Eleni , Papadopoulou Marianna , Zouvelou Vasiliki , Petras Dimitrios , Vlachopoulos Charalampos , Tsivgoulis Georgios
Published: June 2022

Background:

Fabry disease (FD) is an inherited lysosomal storage disorder, leading to multisystemic manifestations and causing significant morbidity and mortality.

Objective:

The aim of this narrative review is to present the current and novel therapeutic strategies in FD, including symptomatic and specific treatment options.

Methods:

A systematic literature search was conducted to identify relevant studies, including completed and ongoing randomized-controlled clinical trials (RCTs), prospective or retrospective cohort studies, case series and case reports that provided clinical data regarding FD treatment.

Results:

A multidisciplinary symptomatic treatment is recommended for FD patients, personalized according to disease manifestations and their severity. During the last two decades, FD-specific treatments, including two enzyme-replacement-therapies (agalsidase alfa and agalsidase beta) and chaperone treatment with migalastat have been approved for use and allowed for symptoms’ stabilization or even disease burden reduction. More therapeutic agents are currently under investigation. Substrate reduction therapies, including lucerastat and venglustat, have shown promising results in RCTs and may be used either as monotherapy or as complementary therapy to established enzyme-replacement-therapies. More stable enzyme-replacement-therapy molecules that are associated with less adverse events and lower likelihood of neutralizing antibodies formation have also been developed. Ex-vivo and in-vivo gene therapy is being tested in animal models and pilot human clinical trials, with preliminary results showing a favorable safety and efficacy profile.
Dietary Management of Type 1 Diabetes Mellitus with Celiac Disease
Authors: Tayyem Reema F. , Al-Majali Marah Attallah , Burayzat Salma
Published: June 2022

Celiac disease is diagnosed more commonly with type 1 diabetes, and the most problematic aspect for a child with type 1 diabetes and celiac disease is that most GFD foods have a high glycemic index, while low glycemic index foods are recommended for type 1 diabetes mellitus. As a result, dietary controls becomes more difficult. Diet management could improve the elevated HbA1c levels. The aim of this review is to illustrate the clinical features and diagnostic considerations, as well as current knowledge of common pathogenic features such as genetics, environmental risk factors, and the gut microbiome of type 1 diabtes and celiac disease. Also, the importance of diet management on glycemic control and growth rate in patients with type 1 diabetes mellitus and celiac disease has been discussed. PubMed and Google Scholar databases were searched. Reports published from the years 1969 to 2021 that focused on the role of type 1 diabetes mellitus and celiac disease, and to examine the types of diet on glycemic control, growth rate, and quality of life. Only a few studies on the effects of a carbohydrate count gluten-free diet on glycemic control, growth rate, and quality of life in patients with type 1 diabetes mellitus and celiac disease have been conducted. There have been few studies showing that the dietary intervention helps to achieve and maintain normal blood glucose and blood pressure levels, a healthy lipid profile, and a healthy body weight. Studies stated that a low-carbohydrate diet had the greatest effect on improving glycemic control and insulin parameters.
Withania somnifera: The Wonder Plant with Withanolide E and J Inhibit
Inflammatory Mediator AP-1 Factor
Authors: Lamani Babu , Chavadapur Srushti Sandu , Biradar Shivaleela , Joga Rajappa
Published: June 2022

Background:

Inflammation is a natural biological response of the body tissues to harmful stimuli, such as damaged cells, irritants or pathogens and it is a protective response involving blood vessels, immune cells and molecular mediators. Activator Protein-1 (AP-1) is a dimer composed of both homo and hetero dimers with jun and fos sub families. The heterodimer cfos-cjun complex is up regulated in several inflammatory diseases such as asthma, rheumatoid arthritis, psoriasis etc. Since ancient time, several plants were used as anti-inflammatory sources. Withania somnifera is a vital plant having well documented anti-inflammatory properties. In this study, the phytochemicals of Withania somnifera are used to study the inhibitory effect on inflammatory mediator AP-1 factor.

Objective:

Determination of inhibitory effect of Withania somnifera phytochemicals against AP-1 factor (cfos-cjun complex).

Method:

In the present study, phytochemicals of Withania somnifera were retrieved from IMPPAT database and all the retrieved molecules were employed for screening of in-silico pharmacological properties using in-silico tools such as SwissADME and ProTox II. Further, Molecular interactions of receptor and the ligands were carried out by Autodock 4.1 tool.

Results:

Total 90 phytochemicals of Withania somnifera were subjected for IMPPAT database. Among those 21 Phytochemicals shown the appropriate drug similarity characteristics. Autodock 4.1 tool used to analyse the binding effectiveness of these 21 phytochemicals. The excellent inhibitory action in comparison to others was shown by Withanolide E and Withanolide J molecules. Interactions pattern showed that SER and ARG amino acids participate in the formation of drug hydrogen bonds.

Conclusion:

Among the 90 phytochemicals of Withania somnifera, only two molecules showed potential ligand binding ability. Further, in-vitro studies may validate the findings.
Management of the Development of the Travel and Hospitality Industry in the Russian Federation
Authors: Vostrova E. I.
Published: June 2022

Relevance. Our country presents a unique variety of socio-cultural traditions in different regions, ethnic groups and tourist routes in several climatic zones. The sudden COVID-19 pandemic left its mark on the functioning of the Russian tourism industry during this period. Managing the development of domestic tourism in Russia with the creation of new routes through unique natural and ethnocultural places is especially important in the context of the Covid-19 pandemic.

The purpose of the study is to identify tools for managing the development of the Russian tourism industry.

Objectives. To achieve this goal, the author studied state programs for the development of the tourism industry, modern sociological scientific approaches to the study of the regional image, key indicators of the development of the tourism sector, conducted five focus groups with a youth audience.

Methodology. In the course of work on the study, the author used the method of systemic and structural-functional approaches to the consideration of the regional image, key indicators of tourism development, as well as the focus group method.

Results. During discussions in five focus groups, the author proposed a list of tools for the development of the travel and hospitality industry and new routes for Russians to travel.

Conclusions. The Russian Federation has tremendous opportunities for the multifaceted disclosure and development of the tourism industry. The COVID-19 pandemic, which led to the closure of the borders of other states, has become another factor making it possible for Russians to open up new places within the country. For the integrated development of the Russian tourism industry, global and local solutions and tools are needed to support the development of the industry.
Modifications of Glass Ionomer Cements Using Nanotechnology: Recent Advances
Authors:   Department of Operative Dentistry, Faculty of Dentistry, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece, Dionysopoulos Dimitrios , Gerasimidou Olga ,   Department of Operative Dentistry, Faculty of Dentistry, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece, Papadopoulos Constantinos ,   Department of Operative Dentistry, Faculty of Dentistry, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
Published: June 2022

Glass ionomer cements (GICs) are dental materials that were invented by Wilson & Kent in 1972. They can chemically bond to enamel and dentin and can exhibit anti-cariogenic activity that allows the release and uptake of fluoride ions. They also possess the ability to render color. The setting reaction of GICs is a neutralization reaction that results in the formation of polycarboxylate salts. The most important GIC modification process involves the addition of resin components, resulting in the development of resin-modified glass ionomer cements (RMGICs), which contain self-and photo-curing systems. Modification of conventional GICs and RMGICs can be achieved by the incorporation of nano-sized fillers into the materials. This helps reduce the size of RMGICs. Conventional GICs and RMGICs can also be modified by introducing nano-sized bioceramics to the glass powder. It has been previously reported that the incorporation of nano-sized particles helps improve the mechanical properties of conventional GICs. Conversely, the commercially available nano-filled RMGICs do not hold any significant advantage over conventional RMGICs as far as the mechanical and adhesive properties are concerned. Glass carbomer is a novel glass ionomer material, and the bioactivity of which is better than the bioactivity of the conventional GICs. However, it is more brittle and less strong than the modern conventional GICs. Additionally, clinical techniques that can be used to transfer external energy on the surface of a GIC have also been used for modification. These techniques can be used to reduce the duration of the initial setting stage and improve the rate of the setting reactions, resulting in faster development of the mechanical properties. Premature failure of the restorations can be avoided under these conditions. The lack of long-term clinical studies limits the use of nano-modified glass ionomers and glass carbomers in daily clinical practice. More randomized clinical trials are required to justify the use of these modern modified materials.
Machine Learning in Health Promotion and Behavioral Change: Scoping Review
Authors: Goh Yong Shian , Ow Yong Jenna Qing Yun , Chee Bernice Qian Hui , Kuek Jonathan Han Loong , Ho Cyrus Su Hui
Published: June 2022

Background

Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years, alongside its ability to provide readily available personalized experience for users, holds much potential for success in health promotion and behavioral change interventions.

Objective

The aim of this paper is to provide an overview of the existing research on ML applications and harness their potential in health promotion and behavioral change interventions.

Methods

A scoping review was conducted based on the 5-stage framework by Arksey and O’Malley and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews) guidelines. A total of 9 databases (the Cochrane Library, CINAHL, Embase, Ovid, ProQuest, PsycInfo, PubMed, Scopus, and Web of Science) were searched from inception to February 2021, without limits on the dates and types of publications. Studies were included in the review if they had incorporated ML in any health promotion or behavioral change interventions, had studied at least one group of participants, and had been published in English. Publication-related information (author, year, aim, and findings), area of health promotion, user data analyzed, type of ML used, challenges encountered, and future research were extracted from each study.

Results

A total of 29 articles were included in this review. Three themes were generated, which are as follows: (1) enablers, which is the adoption of information technology for optimizing systemic operation; (2) challenges, which comprises the various hurdles and limitations presented in the articles; and (3) future directions, which explores prospective strategies in health promotion through ML.

Conclusions

The challenges pertained to not only the time- and resource-consuming nature of ML-based applications, but also the burden on users for data input and the degree of personalization. Future works may consider designs that correspondingly mitigate these challenges in areas that receive limited attention, such as smoking and mental health.
Home Telemonitoring Technology for Patients With Heart Failure: Cost-Consequence Analysis of a Pilot Study (Preprint)
Authors: Apantaku Glory , Mitton Craig , Wong Hubert , Ho Kendall
Published: June 2022

BACKGROUND

Heart failure (HF) is a costly health condition and a major public health problem. It is estimated that 2%-3% of the population in developed countries has HF, and the prevalence increases to 8% among patients aged ≥75 years. Home telemonitoring is a form of noninvasive, remote patient monitoring that aims to improve the care and management of patients with chronic HF. Telehealth for Emergency-Community Continuity of Care Connectivity via Home-Telemonitoring (TEC4Home) is a project that implements and evaluates a comprehensive home monitoring protocol designed to support patients with HF as they transition from the emergency department to home.

OBJECTIVE

The aim of this study is to assess the cost of using the home monitoring platform (TEC4Home) relative to usual care for patients with HF.

METHODS

This study is a cost-consequence analysis of the TEC4Home pilot study. The analysis was conducted from a partial societal perspective, including direct and indirect health care costs. The aim is to assess the costs of the home monitoring platform relative to usual care and track costs related to health care utilization during the 90-day postdischarge period.

RESULTS

Economic analysis of the TEC4Home pilot study showed a positive trend in cost savings for patients using TEC4Home. From both the health system perspective (Pre TEC4Home cost per patient: CAD $2924 vs post TEC4Home cost per patient: CAD $1293; P=.01) and partial societal perspective (Pre TEC4Home cost per patient: CAD $2411 vs post TEC4Home cost per patient: CAD $1108; P=.01), we observed a statistically significant cost saving per patient.

CONCLUSIONS

In line with the advantages of conducting an economic analysis alongside a feasibility study, the economic analysis of the TEC4Home pilot study facilitated the piloting of patient questionnaires and informed the methodology for a full clinical trial.
Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study (Preprint)
Authors: Couture Alexia , Iuliano A Danielle , Chang Howard H , Patel Neha N , Gilmer Matthew , Steele Molly , Havers Fiona P , Whitaker Michael , Reed Carrie
Published: June 2022

BACKGROUND

In the United States, COVID-19 is a nationally notifiable disease, meaning cases and hospitalizations are reported by states to the Centers for Disease Control and Prevention (CDC). Identifying and reporting every case from every facility in the United States may not be feasible in the long term. Creating sustainable methods for estimating the burden of COVID-19 from established sentinel surveillance systems is becoming more important.

OBJECTIVE

We aimed to provide a method leveraging surveillance data to create a long-term solution to estimate monthly rates of hospitalizations for COVID-19.

METHODS

We estimated monthly hospitalization rates for COVID-19 from May 2020 through April 2021 for the 50 states using surveillance data from the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) and a Bayesian hierarchical model for extrapolation. Hospitalization rates were calculated from patients hospitalized with a lab-confirmed SARS-CoV-2 test during or within 14 days before admission. We created a model for 6 age groups (0-17, 18-49, 50-64, 65-74, 75-84, and ≥85 years) separately. We identified covariates from multiple data sources that varied by age, state, and month and performed covariate selection for each age group based on 2 methods, Least Absolute Shrinkage and Selection Operator (LASSO) and spike and slab selection methods. We validated our method by checking the sensitivity of model estimates to covariate selection and model extrapolation as well as comparing our results to external data.

RESULTS

We estimated 3,583,100 (90% credible interval [CrI] 3,250,500-3,945,400) hospitalizations for a cumulative incidence of 1093.9 (992.4-1204.6) hospitalizations per 100,000 population with COVID-19 in the United States from May 2020 through April 2021. Cumulative incidence varied from 359 to 1856 per 100,000 between states. The age group with the highest cumulative incidence was those aged ≥85 years (5575.6; 90% CrI 5066.4-6133.7). The monthly hospitalization rate was highest in December (183.7; 90% CrI 154.3-217.4). Our monthly estimates by state showed variations in magnitudes of peak rates, number of peaks, and timing of peaks between states.

CONCLUSIONS

Our novel approach to estimate hospitalizations for COVID-19 has potential to provide sustainable estimates for monitoring COVID-19 burden as well as a flexible framework leveraging surveillance data.
An Intervention to Connect Patients With Psychosis and Volunteers via Smartphone (the Phone Pal): Development Study (Preprint)
Authors: Pinto da Costa Mariana ,   Phone Pal Advisory Groups
Published: June 2022

BACKGROUND

Intervention development is a critical stage. However, evidence indicates that the substandard reporting of intervention details is widespread.

OBJECTIVE

This study aimed to provide an overview of the guiding frameworks, methodology, and stages for the design and construction of a new complex intervention—the Phone Pal.

METHODS

The intervention development process followed the Medical Research Council framework for developing complex interventions as well as the person-based approach. The intervention was developed following the evidence synthesis of a literature review, a focus group study, and a survey after consultation and input from advisory groups with a range of stakeholders, including patients, volunteers, clinicians, and academics.

RESULTS

The developed logic model outlines the contextual factors, intervention, mechanisms of change, and short- and long-term outcomes. The operationalized intervention required matching 1 patient with 1 volunteer to communicate with each other through a smartphone via SMS text messages, WhatsApp messages or email, and audio or video calls. Each participant was encouraged to communicate with their match at least once per week for a 12-week period using informal conversation.

CONCLUSIONS

The systematic process and theoretically sound strategy through which this intervention was developed can provide insights to future researchers on the reality of developing and preparing the operationalization of a digital intervention using multiple components.
Machine Learning in Health Promotion and Behavioral Change: Scoping Review (Preprint)
Authors: Goh Yong Shian , Ow Yong Jenna Qing Yun , Chee Bernice Qian Hui , Kuek Jonathan Han Loong , Ho Cyrus Su Hui
Published: June 2022

BACKGROUND

Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years, alongside its ability to provide readily available personalized experience for users, holds much potential for success in health promotion and behavioral change interventions.

OBJECTIVE

The aim of this paper is to provide an overview of the existing research on ML applications and harness their potential in health promotion and behavioral change interventions.

METHODS

A scoping review was conducted based on the 5-stage framework by Arksey and O’Malley and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews) guidelines. A total of 9 databases (the Cochrane Library, CINAHL, Embase, Ovid, ProQuest, PsycInfo, PubMed, Scopus, and Web of Science) were searched from inception to February 2021, without limits on the dates and types of publications. Studies were included in the review if they had incorporated ML in any health promotion or behavioral change interventions, had studied at least one group of participants, and had been published in English. Publication-related information (author, year, aim, and findings), area of health promotion, user data analyzed, type of ML used, challenges encountered, and future research were extracted from each study.

RESULTS

A total of 29 articles were included in this review. Three themes were generated, which are as follows: (1) enablers, which is the adoption of information technology for optimizing systemic operation; (2) challenges, which comprises the various hurdles and limitations presented in the articles; and (3) future directions, which explores prospective strategies in health promotion through ML.

CONCLUSIONS

The challenges pertained to not only the time- and resource-consuming nature of ML-based applications, but also the burden on users for data input and the degree of personalization. Future works may consider designs that correspondingly mitigate these challenges in areas that receive limited attention, such as smoking and mental health.
Defining Event Marketing as Engagement-Driven Marketing Communication
Authors: Setiawan Romi , Wibisono Dermawan , Purwanegara Mustika Sufiati
Published: June 2022

Event marketing has been one of the popular corporate marketing strategies for decades. The method is experiential and aims to transform not only attendees' perceptions but also their behavior. Despite this, several events have failed to build loyalty or the purchase intention beyond the entertainment value. In addition, event marketing now focuses on gaining purchase and visit intentions. When a company focuses on engagement, it causes an increased usage desire and longer customer lifetime value. However, as a consequence of such communications, research into the engagement effect of an event has been lacking. This study clarifies the literature review to better understand it. This study reviews 40 relevant scholarly publications from the Scopus database to build a novel concept of engagement-driven event marketing. This article narrows the search using event marketing characteristics. Previous research has found six event types: sports, festivals, concerts, special events, trade shows, and meetings. Five factors influence the attendees: purchase intention, visit intentions, word-of-mouth, brand loyalty, and brand equity . This paper presents a new event marketing model based on Nufer (2015) and Żyminkowska (2019). Attendee engagement is defined by the relationship among the event’s content, the event’s involvement, the event-brand image congruency, and the attendee’s experience of the event’s content. There are also suggested theoretical and managerial considerations.
Comparing Mining and Palm Oil Plantation Impacts on the Human Security of Local Communities
Authors: Indriastuti Suyani
Published: June 2022

Coal mining and palm oil plantations are important sectors for supporting development in Indonesia. However, these sectors are criticized as the cause of horizontal conflicts, deforestation, and natural disasters that threaten the human security of local communities. This paper aims to compare the extent to which coal mining industries and palm oil plantations have impacted the human security of local communities. For this purpose, this study applies comparative process tracing in the case of Kalimantan Timur and Kalimantan Tengah. This research found that palm oil plantations have lower negative impacts on the human security of local communities than coal mining industries. Mining has co-opted the livelihood of local communities. Local communities, most of whom initially work as farmers, lose job opportunities due to the transfer of agriculture to mining, which does not fit with the agency of local communities. In contrast, palm oil plantations establish cooperation with local laborers and local farmers in the Nucleus Estate Smallholder scheme (NES) which prevents unemployment. Therefore, in the context of local communities’ human security, it is better for government to develop palm oil plantations than coal mining.
Sustainable Tourism Development in Indonesia: Bibliometric Review and Analysis
Authors: Kawuryan Megandaru Widhi , Fathani Aqil Teguh , Purnomo Eko Priyo , Salsabila Lubna , Azmi Novia Amirah , Setiawan Deni , Fadhlurrohman Mochammad Iqbal
Published: June 2022

Along with the many potentials in developing the tourism sector and impressive research in the tourism sector, in the last ten years, interest in studying and researching the sustainability of the development of Indonesia's tourism sector has continued to increase significantly. However, despite the increase, the scientific literature published so far has not evaluated in detail the sustainability of Indonesia's tourism development. This study analyzed 861 articles published until February 2021 in the Scopus database on Indonesia's tourism development sustainability. In conducting the analysis, the VosViewer software was used to find results about the most contributing authors, the number of citations, regions, organization, publica-tions and co-occurrences of keywords that could provide new gaps in future research. The results obtained showed trends and impacts of literature published to date, then new gaps/novelties for further research related to the themes of sport tourism, mangrove tourism, sharia tourism and Indonesia's tourism resilience were found. With these results, the next researchers should raise the theme so that Indonesian tourism's sustainability can develop adequately to have a more significant impact in the future.
Spatial Environmental Quality Assessment Of Settlement Area In Tangerang City
Authors: Martono Dwi Nowo , Saiya Halvina Grasela , Amri Saiful
Published: June 2022

This study aims to describe the role of changes in the characteristics of spatial patterns on the environmental quality in Tangerang City, Indonesia. It was carried out by detecting and explaining the effect of thermal comfort on the residential area using a combination of spatial and statistical analysis methods. The results showed that the changes in the characteristics of the spatial pattern, which include building density, vegetation area, accessibility, and road network connectivity significantly affected the spatial environmental quality index (IKLS) and temperature heat index (THI). Meanwhile, the changes in THI were caused by the continuous decline in vegetation area and an increase in population due to the urbanization process of Jakarta and other cities.
Sea Surface Temperature (SST) and Rainfall Trends in the Singapore Strait from 2002 to 2019
Authors: Mubarak Mubarak , Rifardi Rifardi , Nurhuda Ahmad , Syahputra Romi Fadli , Retnawaty Sri Fitria
Published: June 2022

Studying Singapore Strait waters condition as a form of maritime mitigation is necessary because it is an international shipping lane. The dominant weather changes include rainfall, wind flows, and sea surface temperature (SST). This study aims to reveal the relationship between rainfall and SST activity in the Singapore Strait for over 18 years, from 2002 to 2019. The results showed a negative correlation, where the SST decreases as rainfall increases and vice versa. In addition, the high rainfall and low SST distribution occur in the Western season (December–February). The low rainfall intensity and high (warm) SST distribution occur yearly in the transition from West to East (March–August). Also, the distribution pattern is influenced by rainfall intensity and the water mass from the South China Sea and the Malacca Strait, where the strait is a mixture of these masses. The neural network model confirmed the negative correlation. Hence a small change in SST causes rainfall if it is cooler, and less precipitation if warmer.
Flood Disaster Risk Model in Karawang Regency's Industrial Area, West Java Province, Indonesia
Authors: Aruminingsih Aruminingsih , Martono Dwi Nowo , Soesilo Tri Edhi Budhi , Tambunan Rudy Parluhutan
Published: June 2022

Telukjambe Barat and Telukjambe Timur Sub-Districts, Karawang Regency, have a high flood risk level due to changes in Land Use/Land Cover and the yearly occurrence of runoff water discharge. This research aims to analyze the rate and pattern of land-use change due to industrial development, examine the correlation of flood impacts with environmental-socio-economic factors, and develop a flood risk model in industrial areas. Data were collected through methods of system dynamics, remote sensing, geographic information system, questionnaire distribution, focus group discussions, and in-depth interviews with stakeholders. The results showed that floods in this regency are due to massive inland changes, such as the transition from vegetation and water bodies to industrial and residential areas and a strong relationship between environmental-social-economic factors. In other cases, areas with urban land conversion are likely to be flood-prone zones in places such as the Philippines, Belgium, and China. Based on the correlation test that has been conducted, the relationship with the highest level of closeness is the correlation between environmental factors and the impact of flooding, which has a value of 0.791. Therefore, the disaster risk model with an integrated spatial plan approach and an ecological perspective is an option for realizing sustainable development in industrial areas in Karawang Regency.
Analisis Kualitas Jagung Berbasis IoT dengan Penerapan Model SSD Mobilenet dan Histogram
Authors: Audy  , Zaini
Published: June 2022

Jagung adalah salah satu bahan pangan pokok yang dikonsumsi oleh masyarakat Indonesia. Dalam beberapa tahun terakhir, bahan pertanian makin terancam, sehingga produktivitas pangan makin sedikit, termasuk jagung. Selain peningkatan produktivitas jagung, harus diperhatikan juga peningkatan kualitas produk jagung tersebut. Hal tersebut perlu dilakukan agar jagung memiliki keunggulan kompetitif. Oleh karena itu, dilakukan penelitian mengenai hal-hal yang memengaruhi kualitas jagung, baik dari segi pertumbuhan tanaman jagung maupun segi kualitas fisik jagung. Penelitian dibagi dalam dua aspek, yaitu aspek pertumbuhan jagung yang baik dengan pemantauan berbasis internet of things (IoT) dan identifikasi jagung dengan pengolahan citra digital menggunakan model SSD Mobilenet. Penelitian pada pertumbuhan jagung mengacu pada dua macam penyakit jagung (hawar daun dan tongkol busuk) dengan memantau suhu udara, kelembapan udara untuk penyakit hawar daun, dan jarak antar tanaman jagung untuk penyakit tongkol busuk. Penelitian dilakukan menggunakan mikrokontroler Arduino Uno, sensor DHT11, sensor VL53L0X, dan ESP8266 untuk akses data ke website dengan komunikasi IoT. Klasifikasi jagung dibagi atas tiga jenis, yaitu normal, berjamur, dan busuk. Identifikasi kualitas jagung dengan pengolahan citra digital dilakukan menggunakan TensorFlow dengan model SSD Mobilenet dengan pemrograman Python pada Raspberry Pi, sebagai opsi utama dalam klasifikasi kualitas fisik jagung, dan identifikasi warna RGB jagung menggunakan Delphi 7 pada komputer sebagai opsi tambahan dalam klasifikasi fisik jagung. Jumlah sampel yang digunakan adalah 180 sampel biji jagung dengan pengujian sepuluh kali pada masing-masing tipe kualitas jagung. Didapatkan hasil yaitu pengenalan kualitas jagung normal sembilan kali benar, pengenalan kualitas jagung berjamur tujuh kali benar, dan pengenalan kualitas jagung busuk enam kali benar, dengan tingkat akurasi 73,3 %.
Analisis Sentimen terhadap Penggunaan Aplikasi MySAPK BKN di Google Play Store
Authors: Raksaka Indra Alhaqq  , I Made Kurniawan Putra  , Yova Ruldeviyani
Published: June 2022

Dalam mewujudkan kebijakan Sistem Pemerintahan Berbasis Elektronik (SPBE) dan Satu Data ASN di Indonesia, Badan Kepegawaian Negara (BKN) sebagai instansi pemerintah pembina Aparatur Sipil Negara (ASN) perlu melakukan pengelolaan data secara akurat, terkini, dan terintegrasi melalui aplikasi MySAPK berbasis Android. Seiring berjalannya waktu, pengguna mengalami berbagai kendala dalam menggunakan aplikasi dan menuliskan ulasannya pada fitur Rating & Review di Google Play Store. Dalam rentang waktu 9 Mei 2017 hingga 18 Oktober 2021, terdapat 4.778 ulasan yang dituliskan oleh pengguna. Makalah ini menganalisis sentimen pada ulasan pengguna aplikasi MySAPK. Tahapan-tahapan yang dilakukan dimulai dari pengumpulan data, pelabelan data (anotasi), prapemrosesan data, ekstraksi fitur kata, pemodelan klasifikasi, evaluasi pemodelan, analisis sentimen, hingga penyusunan hasil rekomendasi. Dari hasil pemodelan klasifikasi sentimen menggunakan naïve Bayes dan support vector machine (SVM), didapatkan tingkat akurasi masing-masing sebesar 92,47% dan 94,14%. Hasil pengukuran sentimen menunjukkan bahwa pengguna memberikan ulasan bersentimen positif sebanyak 2.118 (44,3%) dan ulasan bersentimen negatif sebanyak 2.660 (55,7%). Di antara faktor penyebab pengguna menuliskan ulasan bersentimen positif adalah aplikasi yang sangat bagus, dapat memberikan manfaat, mempermudah dalam mengisi dan menyimpan data ASN, serta ucapan terima kasih kepada BKN. Sebaliknya, faktor penyebab pengguna menuliskan ulasan bersentimen negatif di antaranya adalah meminta tolong agar aplikasi diperbaiki, kesulitan dalam mengakses, gagal dalam mengisi dan melakukan pemutakhiran data, serta terjadi kesalahan pada server. Untuk mengatasi kendala tersebut, makalah ini merekomendasikan agar kapasitas server pendukung dapat ditingkatkan dan pemutakhiran versi terbaru diluncurkan untuk memperbaiki bug aplikasi. Hasil penelitian ini diharapkan dapat menjadi acuan BKN dalam mengevaluasi dan meningkatkan kualitas pelayanan ASN melalui aplikasi MySAPK.
The Translation of Idioms from English into Indonesian: The Case of J.K. Rowling’s Harry Potter and the Half-Blood Prince
Authors: Krisandini Margarete Theda Kalyca , Sutrisno Adi
Published: June 2022

Idiom is a fixed group of words which has a particular meaning. Translating idioms to another language can be considered complicated and quite challenging because it cannot be translated word-by-word. This research aims to identify the types of idiom found in the novel Harry Potter and the Half-Blood Prince and its translation strategies in Harry Potter dan Pangeran Berdarah-Campuran. The data used in the research were idioms found in Harry Potter and the Half-Blood Prince and idioms translation in Harry Potter dan Pangeran Berdarah-Campuran. The result shows that there are 270 idioms found in the novel. These idioms were classified into three types according to Chitra Fernando (1996). Most of the idioms belong to pure idiom with 137 idioms (50.9%), followed by semi idiom with 72 idioms (26.4%), and literal idiom with 61 idioms (22.7%). Furthermore, the translation strategies of these idioms were analyzed using the theory of idiom translation strategies by Mona Baker (1992) and Peter Newmark (1991). The most frequently applied strategy is translation by paraphrase with 222 idioms (82.2%), followed by literal translation with 28 idioms (10.4%), translation by using an idiom of similar meaning and dissimilar form of 14 idioms (5.2%), and finally translation by omission of 4 idioms (1.5%). Translation by paraphrase is the most frequently applied strategy because of the difficulty in finding equal idioms in target text.
Asian Americans’ Views of their Identities as Asians in Eleanor & Park: A Socio-Psychological Approach
Authors: Afifah Aulia Nur , Rokhman Muh Arif
Published: June 2022

This research analyzes how Asian American characters, Mindy Sheridan, Park Sheridan, and Josh Sheridan,  in the novel Eleanor & Park view their identities as Asians. This research aims to understand how Asian American characters view their identities as Asians and what factors influence their views. The analysis of this research was conducted using the social psychology approach supported by Tajfel and Turner’s (2004) social identity theory and Atkinson, Morten, and Sue’s (1998) minority identity development model. This research shows that Asian American characters’ views of their identity as Asian are influenced by the values believed by the dominant group in their social environment.