bluuebunny/crossref_metadata_2025 huggingface dataset:
CXCR4-containing Exosomes Derived From Cancer Associated Fibroblasts Promote Epithelial Mesenchymal Transition in Ovarian Clear Cell Carcinoma
Authors: Zhang Fang , Chen Liang , Li Huijuan , Liu Naifu , Zhang Xinxin , Peng Jingwei , Chen Jinlong
Published: December 2022

Aims:

Interaction between CAFs and OCCC in the tumor microenvironment and its possible pathway.

Background:

Ovarian clear cell carcinoma (OCCC) has high invasion, metastasis and poor prognosis. Tumor invasion is facilitated by epithelial mesenchymal transition (EMT), which is associated with stromal cells of tumors that mostly consist of cancer associated fibroblasts (CAFs). Exosomes are important carriers of information exchange and transmission between cells.

Objective:

We aimed to investigate whether CAFs can induce OCCC invasion through exosomes.

Methods:

We extracted exosomes with an exosome extraction kit. Immunofluorescence staining was used to detect whether exosomes were internalized by ES2 cells. EMT-related proteins were detected, and invasion experiments were carried out to investigate whether CAFs can induce OCCC invasion through exosomes.

Results:

We found that CAF and NF exosomes could be internalized in ES2 cells. The expression of OCCC CXCR4 protein could be increased by adding the supernatant of CAFs, but there was no significant change in the expression of CXCR4 mRNA. CXCR4 protein expression in CAF exosomes was significantly higher than that in NFs. Enhanced tumor invasiveness in ES2 cells was associated with CAF exosome-mediated, increased levels of N-cadherin and β-Catenin. Inhibition of CXCR4 expression or the Wnt/β-Catenin pathway of ES2 cells potentially reverses EMT and invasion induced by CAF exosomes.

Conclusion:

This study demonstrates that CXCR4-containing exosomes derived from CAFs could promote the EMT and invasion of OCCC.
Influence of Eco-friendly Pretreatment of Cellulose Acetate Fabric with
Laccase Enzyme on the Textile Properties, Dye Adsorption Isotherms, and
Thermodynamic Parameters
Authors: Zolriasatein Ali Akbar
Published: December 2022

INTRODUCTION:

Deacetylation of cellulose acetate restores hydroxyl groups on the surface of fibers and improves hydrophilicity. From an environmental point of view, the conventional deacetylation process involves alkalinity and large effluent volume. The goal of this work is to introduce a new eco-friendly bio-treatment process.

METHOD:

In this study, cellulose acetate fabrics were bio-treated with laccase enzyme. Then, the untreated and bio-treated fabrics were dyed with direct and dispersed dyes. Laccase pretreatment improved color strength (16%) and crocking durability. After bio-treatment, the bending rigidity decreased for the warp (17.8) and weft (10.8) directions. The Freundlich model was the best model to describe the adsorption of direct dye onto the untreated fabric. In contrast, the Langmuir model better described the adsorption behavior of bio-treated fabric.

RESULT:

Nernst model was suitable for dispersed dye adsorption. The partition coefficient was increased after laccase treatment. Thermodynamic analysis showed that the dye sorption was endothermic and nonspontaneous.

CONCLUSION:

It was also found that bio-treated fabrics require less external energy. All performed experiments approved the efficiency of the deacetylation process, which led to an improvement in dyeing properties.
Using the Photostress method to determine the residual stresses
Authors: Alzyod Hussein , Ficzere Peter
Published: December 2022

Strains and stresses in loaded and photoelastically coated structural members can be determined using the PhotoStress method. The quantitative values of variations in the principal strains (stresses) and their directions could be employed to get the strain or stress components field on the entire coated surface. In the PhotoStress experiment, isochromatic fringes give qualitative and quantitative information. It provides a source of information on the directions and magnitudes of principal strain and principal normal stress on the surface of photoelastic coated parts. This article reviews the principle of using PhotoStress analysis to measure the residual stress and provides the boundary condition of using this method.
Parental Involvement and Academic Achievement: A Meta-analysis
Authors: Fatimaningrum Arumi Savitri
Published: December 2022

This study examined the relationship between parental involvement and academic achievement through the meta-analysis technique. A total of 40 studies from 18 journal articles that fulfilled the inclusion criteria were analyzed to find the correlation between variables. The result showed the correlation between parental involvement with academic achievement with r=0.251. The result could be concluded that there was a significant correlation between parent involvement and academic achievement. The estimated correlation value of this study is consistent with the previous meta-analysis studies on a similar topic.
Systematic Review of High-Dimensional Omics in Mind-Body Medicine
Authors: Schoenberg Poppy L.A. , Gonzalez Katlyn M.
Published: December 2022

The multi-dimensional measurement of complex biological systems and sub-systems is made possible by high-dimensional omics technologies. This frontier of research is promising for elucidating disease processes, physiological parameters, and therapeutic action mechanisms. Omics have potential merit for the integrative medicine field that is relatively early in terms of mechanistic research towards understanding the underlining therapeutic processes of mind-body interventions that show to affect multiple systems simultaneously. An inflammatory theory of disease has brought to light molecular and epidemiological evidence proposing that inflammation could be considered a unitary predictor across most disease typologies which may be treated as a central clinical entity. Relatively recent theorizations of disease have built upon epigenetic data showing that complex “interactomes”, or disease networks where genetic factors that have downward chain effects on transcriptional, proteomic domains, dynamically modulate in response to environmental, microbial, and immunological domains. Thus, complex conditions underlined by interactive disease networks and dynamics essentially require complex multi-levelled interventions. This is particularly germane for complex patient cases often seen in the integrative medicine clinic. Mind-body medicine may be part of such care programs that can be made accessible for all. To shed further light on the possibility of building the evidence base in integrative health towards this direction, we reviewed the current use of omics technologies in mind-body medicine within the last 5-years. Use of omics approaches within the field is still developing. Early findings appear to show beneficial impact upon genomic, transcriptional, and proteomic biomarkers across varied chronic inflammatory conditions, including disorders of the cardiovascular, central nervous, endocrine, immune, musculoskeletal, and respiratory, systems.
Identification of Key Factors for Optimized Health Care Services: Protocol for a Multiphase Study of the Dubai Vaccination Campaign
Authors: Faroun Hayette , Zary Nabil , Baqer Khalifa , Alkhaja Farida , Gad Kareem , Alameddine Mohamad , Al Suwaidi Hanan
Published: December 2022

Background

Mass vaccination of the global population against the novel COVID-19 outbreak posed multiple challenges, including effectively administering millions of doses in a short period of time while ensuring public safety and accessibility. The government of Dubai launched a mass campaign in December 2020 to vaccinate all its citizens and residents, targeting the population aged >18 years against COVID-19. The vaccination campaign involved a transformation of multiple commercial spaces into mass vaccination centers across the city of Dubai, the largest of which was the Dubai One Central (DOC) vaccination center. It was operational between January 17, 2021, and 27 January 27, 2022.

Objective

The multiphase research study aims to empirically explore the opinions of multiple health care stakeholders, elicit the key success factors that can influence the effective delivery of emergency health care services such as a COVID-19 mass vaccination center, and explore how these factors relate to one another.

Methods

To understand more about the operations of the DOC vaccination center, the study follows a multiphase design divided into 2 phases. The study is being conducted by the Institute for Excellence in Health Professions Education at Mohammed Bin Rashid University of Medicine and Health Sciences between December 2021 and January 2023. To elicit the key success factors that contributed to the vaccination campaign administered at DOC, the research team conducted 30 semistructured interviews (SSIs) with a sample of staff and volunteers who worked at the DOC vaccination center. Stratified random sampling was used to select the participants, and the interview cohort included representatives from the management team, team leaders, the administration and registration team, vaccinators, and volunteers. A total of 103 people were invited to take part in the research study, and 30 agreed to participate in the SSIs. To validate the participation of various stakeholders, phase 2 will analytically investigate one’s subjectivity through Q-methodology and empirically investigate the opinions obtained from the research participants during phase 1.

Results

As of July 2022, 30 SSIs were conducted with the research participants.

Conclusions

The study will provide a comprehensive 2-phase approach to obtaining the key success factors that can influence the delivery of high-quality health care services such as emergency services launched during a global pandemic. The study’s findings will be translated into key factors that could support designing future health care services utilizing evidence-based practice. In line with future plans, a study will use data, collected through the DOC vaccination center, to develop a simulation model outlining the process of the customer journey and center workflow.

International Registered Report Identifier (IRRID)

DERR1-10.2196/42278
Barriers and Facilitators of Obtaining Social Determinants of Health of Patients With Cancer Through the Electronic Health Record Using Natural Language Processing Technology: Qualitative Feasibility Study With Stakeholder Interviews
Authors: Alpert Jordan , Kim Hyehyun (Julia) , McDonnell Cara , Guo Yi , George Thomas J , Bian Jiang , Wu Yonghui
Published: December 2022

Background

Social determinants of health (SDoH), such as geographic neighborhoods, access to health care, education, and social structure, are important factors affecting people’s health and health outcomes. The SDoH of patients are scarcely documented in a discrete format in electronic health records (EHRs) but are often available in free-text clinical narratives such as physician notes. Innovative methods like natural language processing (NLP) are being developed to identify and extract SDoH from EHRs, but it is imperative that the input of key stakeholders is included as NLP systems are designed.

Objective

This study aims to understand the feasibility, challenges, and benefits of developing an NLP system to uncover SDoH from clinical narratives by conducting interviews with key stakeholders: (1) oncologists, (2) data analysts, (3) citizen scientists, and (4) patient navigators.

Methods

Individuals who frequently work with SDoH data were invited to participate in semistructured interviews. All interviews were recorded and subsequently transcribed. After coding transcripts and developing a codebook, the constant comparative method was used to generate themes.

Results

A total of 16 participants were interviewed (5 data analysts, 4 patient navigators, 4 physicians, and 3 citizen scientists). Three main themes emerged, accompanied by subthemes. The first theme, importance and approaches to obtaining SDoH, describes how every participant (n=16, 100%) regarded SDoH as important. In particular, proximity to the hospital and income levels were frequently relied upon. Communication about SDoH typically occurs during the initial conversation with the oncologist, but more personal information is often acquired by patient navigators. The second theme, SDoH exists in numerous forms, exemplified how SDoH arises during informal communication and can be difficult to enter into the EHR. The final theme, incorporating SDoH into health services research, addresses how more informed SDoH can be collected. One strategy is to empower patients so they are aware about the importance of SDoH, as well as employing NLP techniques to make narrative data available in a discrete format, which can provide oncologists with actionable data summaries.

Conclusions

Extracting SDoH from EHRs was considered valuable and necessary, but obstacles such as narrative data format can make the process difficult. NLP can be a potential solution, but as the technology is developed, it is important to consider how key stakeholders document SDoH, apply the NLP systems, and use the extracted SDoH in health outcome studies.
Mobilizing Patient and Public Involvement in the Development of Real-World Digital Technology Solutions: Tutorial (Preprint)
Authors: Keogh Alison , Mc Ardle Ríona , Diaconu Mara Gabriela , Ammour Nadir , Arnera Valdo , Balzani Federica , Brittain Gavin , Buckley Ellen , Buttery Sara , Cantu Alma , Corriol-Rohou Solange , Delgado-Ortiz Laura , Duysens Jacques , Forman-Hardy Tom , Gur-Arieh Tova , Hamerlijnck Dominique , Linnell John , Leocani Letizia , McQuillan Tom , Neatrour Isabel , Polhemus Ashley , Remmele Werner , Saraiva Isabel , Scott Kirsty , Sutton Norman , van den Brande Koen , Vereijken Beatrix , Wohlrab Martin , Rochester Lynn ,   Mobilise-D consortium
Published: December 2022

UNSTRUCTURED

Although the value of patient and public involvement and engagement (PPIE) activities in the development of new interventions and tools is well known, little guidance exists on how to perform these activities in a meaningful way. This is particularly true within large research consortia that target multiple objectives, include multiple patient groups, and work across many countries. Without clear guidance, there is a risk that PPIE may not capture patient opinions and needs correctly, thereby reducing the usefulness and effectiveness of new tools. Mobilise-D is an example of a large research consortium that aims to develop new digital outcome measures for real-world walking in 4 patient cohorts. Mobility is an important indicator of physical health. As such, there is potential clinical value in being able to accurately measure a person’s mobility in their daily life environment to help researchers and clinicians better track changes and patterns in a person’s daily life and activities. To achieve this, there is a need to create new ways of measuring walking. Recent advancements in digital technology help researchers meet this need. However, before any new measure can be used, researchers, health care professionals, and regulators need to know that the digital method is accurate and both accepted by and produces meaningful outcomes for patients and clinicians. Therefore, this paper outlines how PPIE structures were developed in the Mobilise-D consortium, providing details about the steps taken to implement PPIE, the experiences PPIE contributors had within this process, the lessons learned from the experiences, and recommendations for others who may want to do similar work in the future. The work outlined in this paper provided the Mobilise-D consortium with a foundation from which future PPIE tasks can be created and managed with clearly defined collaboration between researchers and patient representatives across Europe. This paper provides guidance on the work required to set up PPIE structures within a large consortium to promote and support the creation of meaningful and efficient PPIE related to the development of digital mobility outcomes.
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing (Preprint)
Authors: Lee Kyeryoung , Liu Zongzhi , Chandran Urmila , Kalsekar Iftekhar , Laxmanan Balaji , Higashi Mitchell K , Jun Tomi , Ma Meng , Li Minghao , Mai Yun , Gilman Christopher , Wang Tongyu , Ai Lei , Aggarwal Parag , Pan Qi , Oh William , Stolovitzky Gustavo , Schadt Eric , Wang Xiaoyan
Published: December 2022

BACKGROUND

Ground-glass opacities (GGOs) appearing in computed tomography (CT) scans may indicate potential lung malignancy. Proper management of GGOs based on their features can prevent the development of lung cancer. Electronic health records are rich sources of information on GGO nodules and their granular features, but most of the valuable information is embedded in unstructured clinical notes.

OBJECTIVE

We aimed to develop, test, and validate a deep learning–based natural language processing (NLP) tool that automatically extracts GGO features to inform the longitudinal trajectory of GGO status from large-scale radiology notes.

METHODS

We developed a bidirectional long short-term memory with a conditional random field–based deep-learning NLP pipeline to extract GGO and granular features of GGO retrospectively from radiology notes of 13,216 lung cancer patients. We evaluated the pipeline with quality assessments and analyzed cohort characterization of the distribution of nodule features longitudinally to assess changes in size and solidity over time.

RESULTS

Our NLP pipeline built on the GGO ontology we developed achieved between 95% and 100% precision, 89% and 100% recall, and 92% and 100% F1-scores on different GGO features. We deployed this GGO NLP model to extract and structure comprehensive characteristics of GGOs from 29,496 radiology notes of 4521 lung cancer patients. Longitudinal analysis revealed that size increased in 16.8% (240/1424) of patients, decreased in 14.6% (208/1424), and remained unchanged in 68.5% (976/1424) in their last note compared to the first note. Among 1127 patients who had longitudinal radiology notes of GGO status, 815 (72.3%) were reported to have stable status, and 259 (23%) had increased/progressed status in the subsequent notes.

CONCLUSIONS

Our deep learning–based NLP pipeline can automatically extract granular GGO features at scale from electronic health records when this information is documented in radiology notes and help inform the natural history of GGO. This will open the way for a new paradigm in lung cancer prevention and early detection.
Usability Evaluation for Mobile Health Application: Systematic Literature Review (Preprint)
Authors: Septiani Winnie , Rahmawati Novia , Safitri Dian Mardi
Published: December 2022

BACKGROUND

Health Application has unique characteristics compared to other applications. This application is needed to support the health of users/families with various facilities provided according to their functions and objectives. Usability measurement is carried out to evaluate the successful use of the application with various usability criteria.

OBJECTIVE

This study aimed to identify, analyze and synthesize the usability evaluation of a mobile health application.

METHODS

The review was carried out on 61 selected papers from 799 usability papers from the web of science and Scopus in the 2013 to 2021 time period. Reviews are limited to applications in the form of mobile applications.

RESULTS

Based on the results of the review, it was identified that the medical/health technology journal group contributed the most, with a total of 13 papers. Meanwhile, mHealth apps mostly function for treatment and self-care/self-management, such as type II diabetes.

CONCLUSIONS

Most of the reviewed papers used the general public as respondents. Most of the research aims to evaluate usability with the most widely used method the System Usability Scale, which is equipped with other supporting methods.
Spatiotemporal and multi-sensor analysis of surface temperature, NDVI, and precipitation using google earth engine cloud computing platform
Authors: Baser Qasimi Abdul , Isazade Vahid , Kaplan Gordana , Nadry Zabihullah
Published: December 2022

Vegetation, precipitation, and surface temperature are three important elements of the environment. By increasing the concerns about climate change and global warming, monitoring vegetation dynamics are considered to be crucial. In this study, the cross-relationship between vegetation, surface temperature, and precipitation, and their fluctuations over the past 21 years are evaluated. Day time LST from Terra sensor of MODIS, nir and red bands of Landsat 7 ETM+ and Landsat 8 OLI, and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) are used in this research. Data were evaluated and processed using the google earth engine cloud processing platform. According to the results, it was concluded that the correlations between the annual average of normalized difference vegetation index and precipitation are not significant. Evaluation of the cross-seasonal correlations exhibited the availability of the strong and significant correlation with a value of r2 = 0.82 between vegetation thickness and precipitation, during the spring and summer, especially from April to August. Moreover, surface temperature exposed an inverse correlation with precipitation and NDVI with the values of r2= 0.776 and r2= 0.68 respectively, these relationships are highly significant. According to the results of this study, vegetation declined sharply in particular years, and this decrease occurred due to insufficient rainfalls.
Гострий коронарний синдром у хворих на цукровий діабет: клінічні характеристики і діагностика болю
Authors: Halushko O.A. , Boliuk M.V.
Published: December 2022

Актуальність. Гострий коронарний синдром (ГКС) залишається частою причиною госпіталізації хворих на цукровий діабет (ЦД). Через частий розвиток діабетичної нейропатії вважається, що для даної категорії пацієнтів характерна висока частота атипового перебігу гострого коронарного синдрому, але дані про це досить суперечливі. Мета дослідження: визначити особливості перебігу больового синдрому та ступінь його вираженості у пацієнтів з гострим коронарним синдромом та супутнім цукровим діабетом. Матеріали та методи. У дослідженні взяли участь 36 пацієнтів з ЦД (22 чоловіки та 14 жінок) віком 44–86 років, госпіталізованих ургентно з приводу ГКС. Оцінка больового синдрому проводилася на момент госпіталізації та одразу після реваскуляризації коронарних артерій за наступними критеріями: візуально-аналоговою шкалою (ВАШ), цифровою оцінювальною шкалою (NRS), клінічними даними і біохімічними маркерами. Результати. Більша частина пацієнтів (91,67 %) на момент госпіталізації скаржилася на біль у грудях, решту не турбував жоден біль. Під час опитування хворі описували біль як «печіння» (30,56 %), «стискання» (30,56 %), «здавлення» (25,0 %), «поколювання» (5,56 %). Також були скарги на тяжкість під час дихання (13,89 %), відчуття нестачі повітря (11,1 %), серцебиття (41,67 %). Появу надмірного потовиділення відзначили 16,67 % пацієнтів. Статистично значущої відмінності між результатами оцінки болю за ВАШ та NRS не виявлено (p > 0,1). Середній рівень глікемії на момент госпіталізації становив 8,19 ± 3,45 ммоль/л (у чоловіків — 8,17 ± 3,61 ммоль/л, у жінок — 8,28 ± 3,13 ммоль/л). Глікемія більше ніж 10,0 ммоль/л виявлена у 8 пацієнтів, що становило 22,22 % усіх хворих. Серед цієї категорії пацієнтів переважали хворі із сильним больовим синдромом (62,5 %). Висновки. У пацієнтів з інфарктом міокарда та цукровим діабетом переважала типова клінічна картина ГКС (91,67 % пацієнтів) над безбольовою формою. До реваскуляризації помірний та сильний біль зустрічався з однаковою частотою; відсутня статистична відмінність між рівнями артеріального тиску, частотою серцевих скорочень та глікемії (p > 0,1) у пацієнтів з сильним та помірним больовим синдромом. Гіперглікемія (≥ 10,0 ммоль/л) виявлена у 22,22 % хворих, серед яких переважали хворі із сильним больовим синдромом.
Tren pemberitaan sonokeling dalam portal berita daring di Indonesia
Authors: Riastiwi Indira , Damayanto I Putu Gede P.
Published: December 2022

Introduction. It has never been a study on the news trend of rosewood in Indonesia. This study aimed to determine the trend of rosewood news in online news portals and to create a distribution map of rosewood planting locations in Indonesia.

Data Collection Method. Data were obtained by collecting online news related to rosewood from 2016‒2022. Data were compiled and analyzed descriptively. A distribution map of rosewood was made and superimposed with data from Global Biodiversity Information Facility.

Results and Discussions. The number of rosewood news in Indonesia on online news portals increased from 2016‒2022. The most topic of the news is criminal (illegal logging and distribution of woods), followed by the topic of economic (woods potential use), disasters (trees fallen), social (tree-planting movements), and political (wood distribution regulation), respectively. In Indonesia, rosewood was planted in Jambi, Lampung, West Java, Central Java, DI Yogyakarta, East Java, Bali, West Nusa Tenggara, and East Nusa Tenggara, which correspond to the areas of rosewood cultivation and distribution in Indonesia.

Conclusions. The number of rosewood news in Indonesia on online news portals increased from 2016‒2022, dominated by criminal topics. In Indonesia, rosewood was planted in southern Sumatra, Java, Bali, and Nusa Tenggara.
Development of the elderly health monitoring system through families and community health workers during the COVID-19 pandemic
Authors: Wicaksana Anggi Lukman , Hafidz Firdaus , Rosha Putri T , Susilaningrum Annisa Ryan , Ramadhani Anisah
Published: December 2022

Elderly people have a high risk of severe and fatal COVID-19 condition. Controlling the risk factors among the elderly is important, but health service provision during outbreaks is challenging. The elderly need increased attention to be monitored for their health status routinely. The elderly must also adjust daily activities according to the COVID-19 protocols. This program aimed to provide a practical example of a feasible system to empower community health workers and families for monitoring health among the elderly. This study used quantitative and qualitative data to identify the problems and needs of elderly health monitoring in Caturtunggal, Sleman, Indonesia. Descriptive quantitative methods used secondary data from the Sleman Health and Demographic Surveillance System and elderly health checklists to identify the issues of non-communicable diseases (NCDs) before and during COVID-19. The community health workers were interviewed to explore the needs and feasibility of programs among the elderly. As much as 16% of Caturtunggal population is elderly. One-third are 60-65 years old (33.30%) and retired (30.60%). The most common NCDs were hypertension (25.60%), diabetes mellitus (13.30%), stroke and coronary heart disease (4.40% for each). Almost all elderly (88.89%) have health insurance. Health counselling, online consultation, and monitoring were agreed on after discussion with the community health workers. Serial consultations (COVID-19 protocol for elderly, regular self-monitoring, the national health insurance mobile application, and health services during the pandemic situation) were conducted through WhatsApp groups. Free counseling was provided throughout the program for the elderly care during the outbreak. The monitoring was achieved through the WhatsApp groups by delivering instructional photos or videos of physical activity, blood pressure measurements, dietary record and stress management. The elderly and families felt more confident to check their health status and reported the results. In conclusion, development of health monitoring system was conducted through health checklists. Family and community cadres were also involved to make the program more feasible and sustainable.
Relationship of vegetable and fruit consumption with farmers' blood sugar levels in Pakusari Health Center, Jember
Authors: Fatimah Ayu Pricilia , Susanto Tantut , Susumaningrum Latifa Aini , Kholidi Mokhlas
Published: December 2022

Low consumption of vegetables and fruits are one of the causes of digestive problems, coronary heart disease, and diabetes. Farmers are a vulnerable group for consuming vegetables and fruit less than the recommended 5 portions (250 grams) a day. The aim of this study was to analyze the relationship between vegetable and fruit consumption and the level of blood sugar among farmers with non-communicable diseases in the integrated health post (Posbindu) of Pakusari Health Center, Jember Regency. A retrospective cohort study design was used to analyze secondary data of Posbindu registered patients from January to March 2020 among 140 farmers. The characteristics of participants, vegetable and fruit consumption, and blood sugar were measured through the monitoring card of Posbindu. The data were analyzed using Chi-square tests (p-value <0.05). Among 140 farmers as many as 71.4% were identified who consumed vegetables and fruit less than 5 portions a day and 35.7% who have hyperglycemia. There was a relationship between vegetable and fruit consumption and the farmer's blood sugar level (p-value: <0.001; χ2: 13.144). Farmers who consumed vegetables and fruits less than 5 portions a day were 5 times more likely to experience hyperglycemia (RR:5.727; 95% CI=2.072–15.827). Therefore, community health nurses and health care providers should provide counseling to improve the consumption of vegetables and fruits to prevent the incidence of hyperglycemia among farmers.
Feasibility of HPV vaccination program implementation: A qualitative study
Authors: Lismidiati Wiwin , Dewi Vivian Nanny Lia , Widyawati Widyawati , Nisman Wenny Artanty , Widyasari Anis , Parmawati Ika , Emilia Ova
Published: December 2022

The implementation of the Human Papillomavirus (HPV) vaccination program is still experiencing obstacles in several developing countries. This setback is related to the lack of knowledge and the high cost of the vaccine so that it affects people's behavior about the HPV vaccine. HPV vaccination in adolescents itself as primary prevention has not been widely conducted by adolescents in Indonesia. The results of previous studies showed that not many teenagers had vaccinated against HPV by using self-financing guarantees such as health savings. The obstacles faced in implementing HPV vaccination are that the vaccine is still expensive and there is lack of knowledge of parents and adolescents about the importance of HPV immunization. This formative research using qualitative methods was conducted to analyze the implementation plan of the HPV vaccination program. Data were collected through focus group discussions (FGD) and in-depth interviews. At the end of each FGD activity or interview, transcription and thematic analysis based on content were done. The FGD participants were ten teachers, while the in-depth interview participants were one school committee. This study found two main themes, namely the scheme of implementing the HPV vaccination program and obstacles to the implementation of HPV vaccination. Schools generally supported the program implementation. However, parents still question the importance of the HPV vaccination for their daughters and consider the vaccine costs expensive. Implementation of the HPV vaccination program must consider the existing program schemes in schools and possible obstacles. The results suggested that for the next HPV vaccination program, the facilitators should provide intense and relevant education to parents about the importance and side effects of HPV immunization, and are expected to build a willingness of parents to vaccinate their daughters and seek vaccination costs, one of which can be through a savings program.
Suicide trends during COVID-19 pandemic in Gunungkidul, Indonesia
Authors: Nurdiyanto F A , Puri Valendra Granitha Shandika , Putri Lisa Sunaryo
Published: December 2022

The COVID-19 pandemic had a tremendous impact on psychological burdens and may lead to suicide acts. Suicide is a global mental health problem that happens all over the world. This study was conducted to evaluate the effect of the COVID-19 pandemic on the suicide rates and estimate the category of male-female suicides. This study analyzed suicide data from the Gunungkidul Resort Police from April 2018 to April 2021. Gunungkidul Regency is one area in Indonesia with a high suicide rate. From that time of period, there were about 97 suicide cases as the sample of this study. This article estimated the suicide trend using time series forecasting and Chi-square tests to find potential differences before and after the outbreak. Chi-square analysis showed that there was no difference in the pattern of suicide before and since the COVID-19 pandemic (𝝌2 = 12.05; p > 0.05), as well as the male rates (𝝌2 = 20.17; p > 0.05). However, suicide among females has increased since the outbreak (𝝌2 = 23.43; p < 0.05), especially among the elderly. This article recommended providing a support system, strengthening social networks, and widening the access of women and the elderly to health and psychological services during the pandemic.
Review: Current Checklist of Local Names and Utilization Information of Indonesian Wild Mushrooms
Authors: Putra Ivan Permana , Nurdebyandaru Nicho , Amelya Mega Putri , Hermawan Rudy
Published: December 2022

Mushrooms have been considered an important part of human life due to their various benefits and potential. In Indonesia, many indigenous people get used to foraging and using wild mushrooms as part of their daily lives. To date, there was no update following prior local name checklist of wild mushroom and their uses in Indonesia. Thus, this review aims to provide the latest work on that information known so far in the country. A literature review was focusing on available publications containing the local names and the use of wild mushrooms in Indonesia. 107 mushrooms in total are known to have 170 local names with 36 of them having more than 1 indigenous name. Some of them: Coprinus spp., Polyporus spp., Schizophyllum commune, Scleroderma spp., Termitomyces spp., and Trametes spp. are known to have 5 local names for each region and ethnicity that uses them. 50 species of mushrooms in total are used as food and traditional medicine. The information was derived from 8 provinces and 8 tribes, of which West Kalimantan Province and Javanese ethnicity contributed to the highest number of it. The number of local names is expected to increase as more investigations are conducted in the near future.
Can language be defined in terms of being a structure or a system?
Authors: Boughoulid Mustapha
Published: December 2022

When it comes to the definition of language, many linguists take it for granted by assuming that the nature of language is easily perceived. Their pre-supposed understanding of language hinders them from viewing how it is constitutive of society. Is it then a system of communication? In fact, language cannot be defined in terms of being symmetrical because there are many symmetries in English and there are many aspects, which are not symmetrical in the sense that there are many phenomena in natural languages, which are predicted by regular rules and others, which are not. In terms of elegance, we can consider the perfect example of elegance that occurs between the reflexives himself and herself and the pronouns him and her, but this elegance disappears when it comes to the description of some idiosyncrasies in terms of the lexicon and how there are no specific rules for how many arguments each predicate should take. Hence, such phenomena make it so difficult to define language in terms of its systematicity, regularity or even elegance. However, we should assume that our act of communication should be meaningful in the sense that when we communicate, we communicate meaning by being free from any stimulus.
The role of external auditing in reducing creative cost practical in agricultural businesses
Authors: Jamil Diyar Abdulmajeed , Sabah Karkhi Khalid , Anwer Sanarya Adnan , mohammad Ahmed jawhar , Abdulrahman Bryar Sami , Bayar Gardi Bayar , Qader Khowanas Saeed
Published: December 2022

The collapse of the huge international companies around the world increased the interest of provision of appropriate mechanisms which reduce practices that lead to manipulation in financial reports. Most of the research report that these changes in financial statements which are practiced by the administrations of these companies and according to their desires, are behind their companies’ sudden collapses, and that is what called the creative cost accounting. A quantitative research method used to measure the current study, moreover, 94 auditors participated in this study. The researcher employed a simple regression analysis to measure the developed three research hypotheses. The findings revealed that the highest value was found to be for first research hypothesis which stated that (There is statistically significant relationship between the general standards of external auditing and creative cost accounting practices in agricultural businesses), moreover the lowest value was found to be for second research hypothesis which stated that (There is statistically significant relationship between the general standards of external auditing and creative cost accounting practices in agricultural businesses) as for third hypothesis was found to be moderate which stated that (There is statistically significant relationship between fieldwork standards for external auditing and creative cost accounting practices in agricultural businesses). However, the findings demonstrated that the general standards of external auditing have the most effective role in reducing creative cost accounting practices in agricultural businesses.
El tumbadillo en Amaicha del Valle. Aproximaciones a las dimensiones de análisis de una práctica constructiva
Authors: Otegui Florencia , Dorado Pablo , Rolón Guillermo
Published: December 2022

Tumbadillo is the layer of earthen ceiling that is applied to the underside of the mud (torta de barro) rooves characteristic of some regions of northwest Argentina and frequently found in Amaicha del Valle.  Examining tumbadillo simply as a construction technique restricts interpretation of the social implications and production dynamics involved in its complex construction.  To overcome this limitation, we use the concept of construction practice and address its complexity holistically.  The two-fold objective of this work is to explore the tumbadillo as a construction practice and to define the dimensions of the analysis more precisely.  The study involved participant observation of this construction practice and open, semi-structured interviews.  By disaggregating analysis of the tumbadillo ceiling into a series of dimensions, researchers identified the logic and social practices associated with this construction practice and the reasons it remains relevant despite falling demand.
A CNN and VGG- 16 Approach for Identification System Based on Ear Biometrics
Authors: Zahoor Tehniyat , Singh Ravinder Pal , Mehra Dr. Monika
Published: December 2022

cAbstract: With the increase in digitization over the entire world, there is a growing concern for security and privacy. Alphonse Bertillon, who created a technique to identify a person by precise body measures, is credited with developing biometrics for the first time in Paris during the 1800s. Since then, biometrics have greatly aided in preserving human security and privacy. The proposed study offers a through investigation of the ear as a biometric system utilising a novel taxonomy. It also provides a detailed analysis of databases, performance evaluation criteria, and cutting-edge methodologies. This research work acquired 99.8% accuracy and 0.2% loss while training and testing the model. Convolution Neural Network (CNN) is used due to its proven accuracy in object detection. To achieve better results in large scale image recognition. The research has been supported with the datasets from Kaggle. As a benchmark for comparison, the database from IIT Delhi. The results show an enhancement over the existing techniques and act as a springboard for new ear biometrics researchers.
IoT Connected Smart Pill Box
Authors: Deshpande Surabhi , Khater Disha , Dhurat Rushikesh , Dhamne Sachin
Published: December 2022

Abstract: A pill box is a container used to organize your medication doses for a set period of time. If you need to take several different prescriptions, a pill box comes in quite handy. You won't have to worry about forgetting to take your prescription. The aim of our project is to create a smart pill box that will allow patients to take all their prescribed medication on time and minimize the chances of missing any dose. Due to the current fast-paced lifestyle, the tendency to forget has risen amongst the population. As a result, many people forget to take their medication. This issue will be rectified with our smart pill box.
A Machine Learning Technique to Detect Malware
Authors: Joshi Ankit , Borkar Komesh , Dhote Rohit , Raut Saurabh , Thomare Swapnil , Kulkarni Raghavendra , Chhabria Sharda
Published: December 2022

Abstract: Organizations have been threatened by malware for a long time, but timely detection of the virus remains a challenge. Malware may quickly damage the system by doing pointless tasks that burden it and prevent it from operating efficiently. There are two ways to detect malware: the traditional method that relies on the malware's signature and the behavior-based approach. The malware's behavior is characterized by the action it conducts when active in the machine, such as executing the operating system functions and downloading infected files from the internet. Based on how it behaves, the suggested algorithm finds the virus. The suggested model in this study is a hybrid of Support Vector Machine and Principle Component Analysis. For real Malware, our suggested model obtained an accuracy of 92.70% during validation, with 96% precision, 96.32% recall, and an f1- score of .96
Analisis Belanja Daerah dan Fenomena Flypapereffect Kabupaten/Kota di Provinsi Jawa Timur
Authors: Alfatika Isma Nur , Susilowati Dwi
Published: December 2022

The purpose of this study is to analyze the basic economic sector, classify the regional spending and the phenomena flypapereffect of city/district goverment in East Java for a 5 year period from 2016-2020. The method used is to use panel data regression by using secondary data sourced from regional financial and asset management office in 9 Cities in East Java Province. The results of the research based on the panel data regression is balancing funds and regional original income have a positive effect on regional spending and experience phenomena flypapereffect as evidenced by the large value of the balancing fund coefficient compared to local revenue.
 
Tujuan dari penelitian ini adalah untuk menganalisis sektor ekonomi dasar, mengklasifikasikan belanja daerah dan fenomena flypaper effect pemerintah kota/kabupaten di Jawa Timur selama periode 5 tahun dari tahun 2016-2020. Metode yang digunakan adalah menggunakan regresi data panel dengan menggunakan data sekunder yang bersumber dari Dinas Keuangan dan Pengelolaan Aset Daerah di 9 Kota di Provinsi Jawa Timur. Hasil penelitian berdasarkan regresi data panel adalah dana perimbangan dan pendapatan asli daerah berpengaruh positif terhadap belanja daerah dan mengalami fenomena flypapereffect yang dibuktikan dengan besarnya nilai koefisien dana perimbangan dibandingkan dengan pendapatan asli daerah.
Dampak Covid-19 Terhadap Pendapatan Pedagang di Pantai Lombang di Kabupaten Sumenep Provinsi Jawa Timur
Authors: Setiawati Febrika Melly , Arifin Zainal , Sari Novi Primita
Published: December 2022

This study aims to determine the income level of street vendors during Covid-19 in Batang-Batang District, Sumenep Regency. This study uses a quantitative descriptive type of research in which the data obtained are in the form of information, both numbers and information orally and in writing. The data used includes two parts, namely primary and secondary data where primary data is data taken directly from business actors related to this researcher, while secondary data is data obtained through documentation of research objects in the form of written reports related to research. from the results of the study, it was found that the presence of covid-19 had a very large impact on traders, namely by decreasing the income of street vendors in the beach tourism area of ​​Lombang.
 
Penelitian ini bertujuan untuk mengetahui tingkat pendapatan pedagang kaki lima saat Covid-19 di Kecamatan Batang-batang Kabupaten Sumenep. Penelitian ini menggunakan jenis penelitian deskriptif  kuantitatif yang dimana data yang diperoleh berbentuk keterangan baik angka dan maupun informasi secara lisan dan tulisan. Data yang digunakan meliputi dua bagian yaitu data primer dan sekunder yang dimana data primer merupakan data yang diambil langsung dari pelaku usaha yang berhubungan dengan peneliti ini, sedangkan data sekunder merupakan data yang didapatkan melalui dokumentasi objek penelitian berupa laporan tertulis yang berhubungan dengan penelitian.dari hasil penelitian didapatkan bahwa dengan adanya covid-19 memberikan dampak yang sangat besar terhadap pedagang yaitu dengan turunnya pendapatan para pedagang kaki lima di kawasan wisata pantai lombang.
Analisis Dampak Pertumbuhan Usaha Mikro Terhadap Kesejahteraan Masyarakat di Kabupaten Pasuruan
Authors: Haryani Ariska Dwicahyani
Published: December 2022

This study aims to determine how the influence of micro-enterprise growth on the welfare of the community in Pasuruan Regency and to find out which micro-enterprise sector has the greatest impact on community welfare in Pasuruan Regency. In this study, the author uses a quantitative approach. Quantitative research is a research method based on the philosophy of positivism, used for research with a certain population or sample, data collection using research instruments, statistical data analysis with the aim of testing the established hypothesis. In this study, researchers took a sample of 30% of the districts in Pasuruan Regency, namely Bangil, Pandaan, Prigen, Purwodadi, Purwosari, Tutur, Sukorejo. The results showed that the growth of micro-enterprises in Pasuruan Regency affected and had a positive impact on the level of community welfare in Pasuruan Regency.
 
Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh pertumbuhan usaha mikro terhadap kesejahteraan masyarakat di Kabupaten Pasuruan dan untuk mengetahui sektor usaha mikro mana yang paling besar pengaruhnya terhadap kesejahteraan masyarakat di Kabupaten Pasuruan. Dalam penelitian ini, penulis menggunakan pendekatan kuantitatif. Penelitian kuantitatif adalah metode penelitian yang didasarkan pada filosofi positivisme, digunakan untuk penelitian dengan populasi atau sampel tertentu, pengumpulan data menggunakan instrumen penelitian, analisis data statistik dengan tujuan menguji hipotesis yang telah ditetapkan. Dalam penelitian ini peneliti mengambil sampel 30% kecamatan yang ada di Kabupaten Pasuruan yaitu Bangil, Pandaan, Prigen, Purwodadi, Purwosari, Tutur, Sukorejo. Hasil penelitian menunjukkan bahwa pertumbuhan usaha mikro di Kabupaten Pasuruan mempengaruhi dan berdampak positif terhadap tingkat kesejahteraan masyarakat di Kabupaten Pasuruan.