bluuebunny/crossref_metadata_2025 huggingface dataset:
A Proposal for a Study of the Process Aspect of the Integrated Lifelong Treatment of Healthcare to Patients
Authors: Rant Živa , Kern Tomaž
Published: December 2023

Healthcare is in crisis. On the one hand, the population is ageing, on the other hand, we are faced with a lack of resources: human, spatial and financial. That means that we have to make the health system more efficient. During a period of treatment, patients come into contact with a variety of health providers at different levels of the health system. That leads to the gaps between different instances of treatment. According to experiences in other fields, such as industry, a process-oriented view of health treatment could be one of the components of a successful solution. We wonder: How does viewing the medical treatment a patient receives throughout their life as a process affect the gaps between different instances of treatment?
Understanding Psychological Contracts in the Context of Organizational Change Processes Related to Digital Government Transformation
Authors: A van Haeften Willemijn
Published: December 2023

Digital transformation has revolutionized public sector organizations, bringing both opportunities and challenges. This research proposal suggests an exploration of the impact of Digital transformation on public sector employees' psychological contracts and the challenges faced by civil servants in response to this change. The study proposes a study consisting of four parts. The research methodology combines qualitative and quantitative approaches to capture the dynamic nature of psychological contracts and psychological contract breach in the public sector. The research aims to explore the distinct characteristics of civil servants' dynamic psychological contracts in the context of digital government transformation and how they experience psychological contract breaches during continuous organizational change processes. The study highlights the need for understanding employees’ tactics to manage psychological contract breaches and improve sustainable employability during digital transformation related change. The implications of the study will contribute to the effective implementation of digital transformation in the public sector and enhances our understanding of employee perspectives on managing psychological contracts.
Presentation of the Disposition Draft
Authors: Samar Brenčič Neja
Published: December 2023

The Covid19 crisis situation heralded long-term changes in the way health services are provided and accessed. The standards on which these services are based, or should be based, play an important role in ensuring their quality. Telehealth should be regarded as the people centred holistic service not merely as a technological solution. In the thesis I will illuminate how the methods, the procedures and the protocols which form the service of telehealth, are just as important as the technological solution or infrastructure itself. For such understanding, standards of telehealth need to be considered throughout the service development and implementation. In the process the highest service quality can be achieved if we leverage the support of properly developed assessment tools, based on specific standards. This paper will present the disposition draft of the thesis that will propose a model for evaluating services in every phase of their evolution and implementation.
Malicious Insider Threat Types – An Empirical Analysis
Authors: Hofmeier Manfred , Haunschild Isabelle , Lechner Ulrike
Published: December 2023

Malicious insider threats represent a particular challenge not only for defense, but also for research, as it is estimated there is a high number of unreported cases. Current taxonomies and typologies usually focus on specific aspects, such as goal or motivation, and tend to have tight boundaries. A number of malicious insider threat attack scenarios were identified in our research through qualitative interviews, enhanced with a game-based creative approach. The resulting data was used to develop a malicious insider threat typology in an empirical bottom-up approach. We developed an analysis scheme from existing taxonomies and typologies and used it in an empirical analysis of malicious insider roles and attack scenarios. We were able to identify eleven archetypes of malicious insider threats considering multiple facettes. This paper describes the analysis and the identified types.
Quality Dimensions for Digital Twin Maturity in the Context of Dutch Public Spatial Planning
Authors: Smit Koen , Peters Rob , de Gelder Chaim , Versendaal Johan
Published: December 2023

Digital Twin (DT) technology is being increasingly adopted by local and regional governmental organizations in the Netherlands to support spatial planning decision-making, balancing contradicting policy ambitions. These DT solutions are becoming more complex as more perspectives, based on sophisticated calculations, are added to one integrated view of the problem space. To be able to validate the quality of these DT solutions, quality dimensions are to be established. This study focuses on identifying quality dimensions for DT solutions, including legal and policy perspectives, and safeguarding public value; thereby transcending the technical focus that most contributions on quality dimensions for DTs have in the current body of knowledge. Based on empirical data collection and analysis, 15 quality dimensions were identified. Future research should focus on further operationalizing these dimensions, allowing for measuring DT solution quality on a maturity scale.
DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning
Authors: Azarova D. S. , Omelyanchuk N. A. , Mironova V. V. , Zemlyanskaya E. V. , Lavrekha V. V.
Published: December 2023

To study the mechanisms of growth and development, it is necessary to analyze the dynamics of the tissue patterning regulators in time and space and to take into account their effect on the cellular dynamics within a tissue. Plant hormones are the main regulators of the cell dynamics in plant tissues; they form gradients and maxima and control molecular processes in a concentration-dependent manner. Here, we present DyCeModel, a software tool implemented in MATLAB for one-dimensional simulation of tissue with a dynamic cellular ensemble, where changes in hormone (or other active substance) concentration in the cells are described by ordinary differential equations (ODEs). We applied DyCeModel to simulate cell dynamics in plant meristems with different cellular structures and demonstrated that DyCeModel helps to identify the relationships between hormone concentration and cellular behaviors. The tool visualizes the simulation progress and presents a video obtained during the calculation. Importantly, the tool is capable of automatically adjusting the parameters by fitting the distribution of the substance concentrations predicted in the model to experimental data taken from the microscopic images. Noteworthy, DyCeModel makes it possible to build models for distinct types of plant meristems with the same ODEs, recruiting specific input characteristics for each meristem. We demonstrate the tool’s efficiency by simulation of the effect of auxin and cytokinin distributions on tissue patterning in two types of Arabidopsis thaliana stem cell niches: the root and shoot apical meristems. The resulting models represent a promising framework for further study of the role of hormone-controlled gene regulatory networks in cell dynamics.
Human_SNP_TATAdb: a database of SNPs that statistically significantly change the affinity of the TATA-binding protein to human gene promoters: genome-wide analysis and use cases
Authors: Filonov S. V. , Podkolodnyy N. L. , Podkolodnaya O. A. , Tverdokhleb N. N. , Ponomarenko P. M. , Rasskazov D. A. , Bogomolov A. G. , Ponomarenko M. P.
Published: December 2023

It was previously shown that the expression levels of human genes positively correlate with TBP affinity for the promoters of these genes. In turn, single nucleotide polymorphisms (SNPs) in human gene promoters can affect TBP affinity for DNA and, as a consequence, gene expression. The Institute of Cytology and Genetics SB RAS (ICG) has developed a method for predicting TBP affinity for gene promoters based on a three-step binding mechanism: (1) TBP slides along DNA, (2) TBP stops at the binding site, and (3) the TBP-promoter complex is fixed due to DNA helix bending. The method showed a high correlation of theoretical predictions with measured values during repeated experimental testing by independent groups of researchers. This model served as a base for other ICG web services, SNP_TATA_Z-tester and SNP_TATA_Comparator, which make a statistical assessment of the SNP-induced change in the affinity of TBP binding to the human gene promoter and help predict changes in expression that may be associated with a genetic predisposition to diseases or phenotypic features of the organism. In this work, we integrated into a single database information about SNPs in human gene promoters obtained by automatic extraction from various heterogeneous data sources, as well as the estimates of TBP affinity for the promoter obtained using the three-step binding model and predicting their effect on gene expression for wild-type promoters and promoters with SNPs. We have shown that Human_SNP_TATAdb can be used for annotation and identification of candidate SNP markers of diseases. The results of a genome-wide data analysis are presented, including the distribution of genes with respect to the number of transcripts, the distribution of SNPs affecting TBP-DNA affinity with respect to positions within promoters, as well as patterns linking TBP affinity for the promoter, the specificity of the TBP binding site for the promoter and other characteristics of promoters. The results of the genome-wide analysis showed that the affinity of TBP for the promoter and the specificity of its binding site are statistically related to other characteristics of promoters important for the functional classification of promoters and the study of the features of differential gene expression.
GBS-DP: a bioinformatics pipeline for processing data coming from genotyping by sequencing
Authors: Pronozin A. Y. , Salina E. A. , Afonnikov D. A.
Published: December 2023

The development of next-generation sequencing technologies has provided new opportunities for genotyping various organisms, including plants. Genotyping by sequencing (GBS) is used to identify genetic variability more rapidly, and is more cost-effective than whole-genome sequencing. GBS has demonstrated its reliability and flexibility for a number of plant species and populations. It has been applied to genetic mapping, molecular marker discovery, genomic selection, genetic diversity studies, variety identification, conservation biology and evolutio nary studies. However, reduction in sequencing time and cost has led to the need to develop efficient bioinformatics analyses for an ever-expanding amount of sequenced data. Bioinformatics pipelines for GBS data analysis serve the purpose. Due to the similarity of data processing steps, existing pipelines are mainly characterised by a combination of software packages specifically selected either to process data for certain organisms or to process data from any organisms.  However, despite the usage of efficient software packages, these pipelines have some disadvantages. For example, there is a lack of process automation (in some pipelines, each step must be started manually), which significantly reduces the performance of the analysis. In the majority of pipelines, there is no possibility of automatic installation of all necessary software packages; for most of them, it is also impossible to switch off unnecessary or completed steps. In the present work, we have developed a GBS-DP bioinformatics pipeline for GBS data analysis. The pipeline can be applied for various species. The pipeline is implemented using the Snakemake workflow engine. This implementation allows fully automating the process of calculation and installation of the necessary software packages. Our pipeline is able to perform analysis of large datasets (more than 400 samples).
Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium
Authors: Ivanisenko V. A. , Basov N. V. , Makarova A. A. , Venzel A. S. , Rogachev A. D. , Demenkov P. S. , Ivanisenko T.  V. , Kleshchev M. A. , Gaisler E. V. , Moroz G. B. , Plesko V. V. , Sotnikova Y. S. , Patrushev Y. V. , Lomivorotov V. V. , Kolchanov N. A. , Pokrovsky A. G.
Published: December 2023

Postoperative delirium (POD) is considered one of the most severe complications, resulting in impaired cognitive function, extended hospitalization, and higher treatment costs. The challenge of early POD diagnosis becomes particularly significant in cardiac surgery cases, as the incidence of this complication exceeds 50 % in certain patient categories. While it is known that neuroinflammation, neurotransmitter imbalances, disruptions in neuroendocrine regulation, and interneuronal connections contribute significantly to the development of POD, the molecular, genetic mechanisms of POD in cardiac surgery patients, along with potential metabolomic diagnostic markers, remain in adequately understood. In this study, blood plasma was collected from a group of patients over 65 years old after cardiac surgery involving artificial circulation. The collected samples were analyzed for sphingomyelin content and quantity using high-performance liquid chromatography coupled with mass spectrometry (HPLC-MS/MS) me thods. The analysis revealed four significantly different sphingomyelin contents in patients with POD compared to those who did not develop POD (control group). Employing gene network reconstruction, we perceived a set of 82 regulatory enzymes affiliated with the genetic coordination of the sphingolipid metabolism pathway. Within this set, 47 are assumed to be regulators of gene expression, governing the transcription of enzymes pivotal to the metabolic cascade. Complementing this, an additional assembly of 35 regulators are considered to be regulators of activity, degradation, and translocation dynamics of enzymes integral to the aforementioned pathway. Analysis of the overrepresentation of diseases with which these regulatory proteins are associated showed that the regulators can be categorized into two groups, associated with cardiovascular pathologies (CVP) and neuropsychiatric diseases (NPD), respectively. The regulators associated with CVP are expectedly related to the effects on myocardial tissue during surgery. It is hypothesized that dysfunction of NPD-associated regulators may specifically account for the development of POD after cardiac surgery. Thus, the identified regulatory genes may provide a basis for planning further experiments, in order to study disorders at the level of expression of these genes, as well as impaired function of proteins encoded by them in patients with POD. The identified significant sphingolipids can be considered as potential markers of POD.
Application of the weighted histogram method for calculating the thermodynamic parameters of the formation of oligodeoxyribonucleotide duplexes
Authors: Yushin I. I. , Golyshev V. M. , Pyshnyi D. V. , Lomzov A. A.
Published: December 2023

To date, many derivatives and analogs of nucleic acids (NAs) have been developed. Some of them have found uses in scientific research and biomedical applications. Their effective use is based on the data about their properties. Some of the most important physicochemical properties of oligonucleotides are thermodynamic parameters of the formation of their duplexes with DNA and RNA. These parameters can be calculated only for a few NA derivatives: locked NAs, bridged oligonucleotides, and peptide NAs. Existing predictive approaches are based on an analysis of experimental data and the consequent construction of predictive models. The ongoing pilot studies aimed at devising methods for predicting the properties of NAs by computational modeling techniques are based only on knowledge about the structure of oligonucleotides. In this work, we studied the applicability of the weighted histogram analysis method (WHAM) in combination with umbrella sampling to the calculation of thermodynamic parameters of DNA duplex formation (changes in enthalpy ∆H°, entropy ∆S°, and Gibbs free energy          ∆G37° ). A procedure was designed involving WHAM for calculating the hybridization properties of oligodeoxyribonucleotides. Optimal parameters for modeling and calculation of thermodynamic parameters were determined. The feasibility of calculation of ∆H°, ∆S°, and          ∆G37° was demonstrated using a representative sample of 21 oligonucleotides 4–16 nucleotides long with a GC content of 14–100 %. Error of the calculation of the thermodynamic parameters was 11.4, 12.9, and 11.8 % for ∆H°, ∆S°, and          ∆G37° , respectively, and the melting temperature was predicted with an average error of 5.5 °C. Such high accuracy of computations is comparable with the accuracy of the experimental approach and of other methods for calculating the energy of NA duplex formation. In this paper, the use of WHAM for computation of the energy of DNA duplex formation was systematically investigated for the first time. Our results show that a reliable calculation of the hybridization parameters of new NA derivatives is possible, including derivatives not yet synthesized. This work opens up new horizons for a rational design of constructs based on NAs for solving problems in biomedicine and biotechnology.
Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data
Authors: Fu X. , Tamozhnikov S. S. , Saprygin A. E. , Istomina N. A. , Klemeshova A. N. , Savostyanov A.  N.
Published: December 2023

The development of objective methods for assessing stress levels is an important task of applied neuroscience. Analysis of EEG recorded as part of a behavioral self-control program can serve as the basis for the development of test methods that allow classifying people by stress level. It is well known that participation in meditation practices leads to the development of skills of voluntary self-control over the individual’s mental state due to an increased concentration of attention to themselves. As a consequence of meditation practices, participants can reduce overall anxiety and stress levels. The aim of our study was to develop, train and test a convolutional neural network capable of classifying individuals into groups of practitioners and non-practitioners of meditation by analysis of eventrelated brain potentials recorded during stop-signal paradigm. Four non-deep convolutional network architectures were developed, trained and tested on samples of 100 people (51 meditators and 49 non-meditators). Subsequently, all structures were additionally tested on an independent sample of 25 people. It was found that a structure using a one-dimensional convolutional layer combining the layer and a two-layer fully connected network showed the best performance in simulation tests. However, this model was often subject to overfitting due to the limitation of the display size of the data set. The phenomenon of overfitting was mitigated by changing the structure and scale of the model, initialization network parameters, regularization, random deactivation (dropout) and hyperparameters of cross-validation screening. The resulting model showed 82 % accuracy in classifying people into subgroups. The use of such models can be expected to be effective in assessing stress levels and inclination to anxiety and depression disorders in other groups of subjects.
Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods
Authors: Komyshev E. G. , Genaev M. A. , Busov I. D. , Kozhekin M. V. , Artemenko N. V. , Glagoleva A.  Y. , Koval V. S. , Afonnikov D. A.
Published: December 2023

The pigment composition of plant seed coat affects important properties such as resistance to pathogens, pre-harvest sprouting, and mechanical hardness. The dark color of barley (Hordeum vulgare L.) grain can be attributed to the synthesis and accumulation of two groups of pigments. Blue and purple grain color is associated with the biosynthesis of anthocyanins. Gray and black grain color is caused by melanin. These pigments may accumulate in the grain shells both individually and together. Therefore, it is difficult to visually distinguish which pigments are responsible for the dark color of the grain. Chemical methods are used to accurately determine the presence/absence of pigments; however, they are expensive and labor-intensive. Therefore, the development of a new method for quickly assessing the presence of pigments in the grain would help in investigating the mechanisms of genetic control of the pigment composition of barley grains. In this work, we developed a method for assessing the presence or absence of anthocyanins and melanin in the barley grain shell based on digital image analysis using computer vision and machine learning algo rithms. A protocol was developed to obtain digital RGB images of barley grains. Using this protocol, a total of 972  images were acquired for 108 barley accessions. Seed coat from these accessions may contain anthocyanins, melanins, or pigments of both types. Chemical methods were used to accurately determine the pigment content of the grains. Four models based on computer vision techniques and convolutional neural networks of different architectures were developed to predict grain pigment composition from images. The U-Net network model based on the  EfficientNetB0 topology showed the best performance in the holdout set (the value of the “accuracy” parameter was 0.821).
Governmental Local Investment Fund as a Financial Instrument to Support Urban Investment by the Example of Cities with District Status in the Lodz Voivodeship
Authors: Hajdys Dagmara
Published: December 2023

The purpose of the article/hypothesis is to present the Government's Local Investment Fund as a financial tool to support municipalities and districts during the COVID-19 pandemic crisis and to provide an assessment of the support received in the context of investment expenditure incurred by cities with district rights in the Lodz Voivodeship.
Methodology: On the basis of data from the Chancellery of the Prime Minister and the financial reports of the Cities with a District Status, the amount of funding granted from the Government Local Investment Fund was reviewed. Based on data from the Local Data Bank, the basic financial data for three Cities with a District Status from the Lodz Voivodeship in the years 2019–2021 was analysed, i.e. in the context of the use of funds from the Government Local Investment Fund.
Results of the research: Local government units during the COVID-19 pandemic had an opportunity to obtain financial support from the state budget for the implementation of investment tasks from the Government Local Investment Fund. A total amount of PLN 13 billion was allocated to local governments. The funds were distributed in three rounds using two different qualification methods: algorithm and competition mode. Cities with a District Status under the competition procedure received less support than other local governments, and there were even situations in which they were deprived of this support. The distribution and the amount of support awarded caused a lot of controversy at the same time highlighting a need for changes in the system of local finances.
Dziennik 1943
Authors: Grubiński Wacław , Raźny Joanna
Published: December 2023

Prezentowana praca jest edycją krytyczną Dziennika Wacława Grubińskiego za rok 1943. W zapisie diarystycznym autor utrwala koleje swego losu po zwolnieniu z łagrów północnego Uralu i opuszczeniu razem z armią Andersa ZSRS; stamtąd przez Persję (Iran), Indie, afrykański Durban i Cape Town (Kapsztad) przedostał się do Szkocji i Anglii, a w maju 1943 r. zamieszkał na stałe w Londynie. Lektura dziennika dostarcza nowej wiedzy na temat wojennej biografii jego autora, oświetlając w subiektywnej perspektywie wydarzenia, przedsięwzięcia twórcze, kręgi środowiskowe, relacje osobowe, jakie nawiązał w pierwszych miesiącach po przybyciu do Wielkiej Brytanii, reprezentatywne dla czasu historycznego postawy i opinie. Tekst dziennika, obudowany komentarzem tekstologicznym oraz aparatem przypisów, poprzedza przedmowa, będąca syntetyczną prezentacją całokształtu biografii i dzieła Grubińskiego (1883–1973) — dramaturga, prozaika i publicysty — którego postać, znana dobrze w kręgach artystycznych młodopolskiej, a później także międzywojennej Warszawy, uległa po drugiej wojnie światowej powolnemu zapomnieniu. W oparciu o teksty wspomnieniowe, recenzje, wypowiedzi samego Grubińskiego przedstawiono podstawowe fakty z jego biografii i dorobku pisarskiego, jak również dzieje recepcji jego utworów w kraju i za granicą. Relacjonowanie dialogu Grubińskiego z literacką publicznością poprowadzono aż po ostatnie dni życia pisarza, który doczekał sędziwych lat i zmarł na emigracji w Londynie, a także zasygnalizowano pojawienie się zainteresowania jego twórczością w ostatnich dziesięcioleciach.
Publikacja została przygotowana w ramach grantu wewnętrznego pt. Twórczość Wacława Grubińskiego w świetle nowych źródeł Wydziału Filologicznego Uniwersytetu Łódzkiego oraz stypendium Narodowej Agencji Wymiany Akademickiej NAWA Lektorzy 2021/2022 i 2022/2023, realizowanego w ośrodku Uniwersytet Sorbona IV w Paryżu.
Suicídio em Adolescentes Usuários de Drogas: Variáveis Associadas
Authors: Oliveira Giseli Moretti de , Martins Raul Aragão , Bastos Elton Faria , Rondina Regina  de Cassia
Published: December 2023

Este trabalho investigou características associadas ao comportamento suicida em adolescentes usuários de drogas, atendidos em um serviço de saúde mental brasileiro. Por meio de um roteiro previamente elaborado, foram extraídas informações junto aos prontuários de 93 adolescentes, sobre: características sociodemográficas, consumo de substâncias, transtornos mentais, prática de exercícios físicos, histórico de ideação suicida e de tentativas de suicídio. Para análise das variáveis, foi utilizado o teste Qui-Quadrado e análise de variância. O percentual de prontuários contendo registro de ideação suicida foi associado significativamente às variáveis: “sexo feminino”, “não praticar atividades físicas” e “prescrição de medicamentos psicotrópicos”. Houve associação aproximada com “hipótese de transtorno psiquiátrico”. O percentual de prontuários contendo registro de tentativas de suicídio foi relacionado às variáveis “sexo feminino” e “prescrição de medicação psicotrópica”. Houve associação aproximada com “não praticar atividades físicas”. Ainda são necessários estudos sobre o assunto, levando-se em conta o papel de variáveis intervenientes.
Blending of collaborative and active learning instructional methods to improve academic performance and self-motivation of vocational students
Authors: Ruijuan Li , Srikhoa Sarit , Jantharajit Nirat
Published: December 2023

This study delves into the integration of collaborative and active learning methodologies as a means to enhance both academic achievement and self-motivation among students in the realm of vocational education. Collaborative learning, with its emphasis on teamwork, problem-solving, and social responsibility, complements the active learning approach, which fosters autonomy, deep understanding, and critical thinking. Together, these strategies form a comprehensive framework that not only facilitates academic excellence but also cultivates the lifelong learning skills imperative for sustained career success. While the potential benefits of collaborative and active learning are evident, the study acknowledges the existence of practical challenges, including limited resources and resistance from educators. Addressing these challenges is paramount for the effective implementation of these pedagogical approaches. Overcoming such obstacles will empower vocational education to harness the transformative potential of collaboration and active learning, equipping students with the necessary skills and motivation to thrive in their chosen careers. By navigating these challenges successfully, educators and institutions can create an environment that prepares students not only for the demands of their immediate professions but also for the dynamic challenges of the evolving professional landscape.
The Effect of Profit-Sharing on Productivity of Micro, Small, and Medium Enterprises (MSME) in Indonesia
Authors: Dhonna Widya Poernamasari
Published: December 2023

Research on the effect of profit-sharing on large-scale enterprise productivity has been done in many countries. But previous study found an inconsistent results, that is profit sharing is not significantly influence productivity of MSMEs. This research aims to deepen more about the reason is  this profit-sharing in its application have or don’t have a significant impact in increasing productivity of Micro and Small Enterprises in Indonesia. The qualitative research method used in this research is through in-depth interview techniques to seven respondents who are MSME entrepreneurs in the manufacturing sector with product types that vary between respondents. The purpose of this interview is to gather information about the system of wages and distribution of bonuses in MSMEs, which have different characteristics from large industries in general. The interview results show that there is profit sharing in Indonesia MSMEs, but it is not considered as financial compensation or work bonus that leads to the next performance target. However, most of them interpreted as "kindness" from MSME owners in form of financial or non-financial benefits. This research brings research implication that profit sharing on MSMEs are unique and can be applied in many forms. Even though in previous quantitative study, profit sharing is stated as not significantly influence the MSMEs productivity and performance, In some cases, profit sharing is proven to increase the motivation and loyalty of employees.
Development of Discharge Planning for Stroke Patients
Authors: Muhammad Imron Rosadi Mujib  , Fitri Arofiati
Published: December 2023

Highlights:
1. Given the frequent long-term complications of stroke, this study identified the ideal approach to discharge planning to improve the quality of life of patients and hospital care.2. This study provides evidence supporting the effectiveness of a conventional discharge planning approach that incorporates specific educational intervention with interactive learning through audiovisual media.3. The approaches presented in this study may offer valuable perspectives on enhancing health service provisions, particularly regarding the discharge planning process for nurses.
 
Abstract
The quality improvement of discharge planning is essential throughout the development of discharge planning, which guarantees a seamless transition of care for stroke patients and family preparedness. This systematic review aimed to analyze the development of discharge planning and its impact on stroke patients and their families. The research was conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eligible pieces of literature were compiled from seven electronic databases, i.e., ScienceDirect, Scopus, PubMed, EBSCOhost, ProQuest, SAGE Journals, and Google Scholar. The literature search was performed using predetermined search terms, with specific criteria that included papers exclusively published in English and studies conducted in 2018–2022. The development of discharge planning showed a significant impact on stroke patients, as it could influence various aspects of their quality of life. This included improvements in physiological function, enhanced cognitive knowledge, increased satisfaction and self-efficacy, reduced stress levels and care burden, and the opportunity for families to adequately prepare for home-based patient care. This study concluded that integrating conventional with technology-based media is effective for developing discharge plans for stroke patients. The implementation of this novel approach in a health system can improve patient outcomes, family preparedness when providing care, and the quality of hospital care.
Maternal Mid-Upper Arm Circumference as a Screening Tool to Predict Infant Birth Weight
Authors: Muhammad Rais Fathurrachman  , Sri Umijati  , Eighty Mardiyan Kurniawati  , Bagus Setyoboedi
Published: December 2023

Highlights:1. This study investigated previous research that stated there is no significant correlation between a maternal’s mid-upper arm circumference and an infant's birth weight.2. This study’s findings show that mid-upper arm circumference can be used as a screening tool to predict infant birth weight.
AbstractMid-upper arm circumference (MUAC) was commonly used in assessing chronic energy deficiency in women of childbearing age. In pregnancy, the mother's MUAC was mainly used for early detection of the possibility of low birth weight babies. However, some studies showed that maternal MUAC did not have a significant correlation with birth weight. Therefore, this study aimed to determine the relationship between nutritional status of pregnant women and birth weight. This study was conducted using an analytical observation method with a cross-sectional approach with 86 samples of mothers who gave birth at Jagir Public Health Centre, Surabaya, Indonesia, from July 2019 to December 2019 who met the inclusion and exclusion criteria. Data were obtained through secondary data from the medical records of Jagir Public Health Centre. They were analysed by Spearman test with a 95% confidence interval and 5% margin of error. Mostly (86.05%) mothers had good nutritional status (MUAC  23.5 cm). Only a few (3.49%) babies were born with low birth weight (< 2,500g) and as many as 1.16% of babies were born with large birth weight (> 4,000g). Based on the research conducted, mothers with low MUAC did not give birth to babies with low birth weights and instead gave birth to babies with normal birth weights. The results of the analysis related to the relationship of MUAC of pregnant women at Jagir Health Centre in the period July 2019-December 2019 had a significant relation to the birth weight of the baby they gave birth to. MUAC described the condition of muscle tissue and fat under the skin of the mother's arm, which was the storage of the energy for the mother. However, other factors affected the birth weight of the baby, such as the nutrient intake of the mother.
Differences in the Development of Language and Social Independence in Children with Speech Delay and Sensorineural Hearing Loss based on Age of Early Intervention and Duration of Auditory Verbal Therapy
Authors: Zamrotu Iva Purwanti  , Achmad Chusnu Romdhoni  , Ahmad Suryawan  , Nyilo Purnami  , Ninuk Dwi Ariningtyas
Published: December 2023

Highlights :1. This original research report provides information to the public about the importance of early detection, the use of hearing technology and the advantages of Auditory Verbal Therapy in delayed speech children with sensorineural hearing loss, where this therapy makes it easier for children to achieve language development on par with other children their age.2. Auditory Verbal Therapy as part of the process of learning to speak and hear deaf children is still quite new and unfamiliar among the community, so based on this study it can be seen that AVT has a positive impact on child development.
AbstractSpeech delay with sensorineural hearing loss is a delay in a child's speech process compared to normal children of the same age, mostly caused by hearing loss. It can give may affect the development of language and social independence of children. Auditory Verbal Therapy (AVT) as early intervention maximizes the use of residual hearing with hearing aids or a cochlear implant for sound detection. Therapy that is routinely and periodically conducted may affect language development to support children's independence. This study aims to analyze differences in the development of language and social independence of children with delayed speech and sensorineural hearing loss based on the age of early intervention and duration of auditory verbal therapy. This study used an analytical-observational study design with a cross-sectional approach. The samples were obtained by total sampling from all children who underwent routine AVT once a week at the Aurica Surabaya Foundation, with a total sample of 29 children. The instrument used Developmental Pre-Screening Questionnaire. Method of data analysis was bivariate analysis with the Chi-Square (p-value) proportions different test using SPSS . The results regarding language development based on the age of early intervention and the duration of AVT obtained p = value 0.013 (p < 0.05) and p = 0.019 (p < 0.05), while the results of the chi-square test analysis of the development of social independence based on the age of early intervention and duration of AVT obtained p value = 0.229 (p > 0.05) and p-value = 0.111 (p > 0.05). In conclusion, there was a difference between language development based on the age of early intervention and the duration of AVT, but no difference was found between the development of social independence based on the age of early intervention and the duration of AVT.
Automatic Detection of Escherichia coli Bacteria from Tryptic Soy Agar Image Using Deep Learning Method
Authors: Yonanda Yusril Putra , Putra Alfian Pramudita , Purwanti Endah
Published: December 2023

Escherichia coli is a normal bacterial flora that lives in the human intestine, is harmless and is part of a healthy digestive tract. However, there are several strains of pathogenic Escherichia coli that can cause infections in the digestive tract, namely diarrhea. Diarrheal disease in Indonesia needs treatment and study because most of the diagnoses are still based on clinical diagnosis. Conventional methods used for the detection of Escherichia coli bacteria include culture methods, biochemical tests, and serological tests. This method has the disadvantage of requiring a long time, a large number of samples, and a relatively high error in reading the results. Therefore, the detection process needs to be done automatically using the Faster R-CNN deep learning method. In this research, we used Faster R-CNN with Inception v2 and ResNet-50 architecture and added augmentation and Image Enhancement to the Tryptic Soy Agar image dataset. The test results show that the addition of Image Enhancement greatly affects model performance and the model that has the best performance and is most appropriate to use is the Faster R-CNN ResNet-50 architecture with the addition of Contrast Stretching and Gaussian Filters to the image dataset. This model has 91% accuracy, 90% precision, 95% recall, and 92% F-1 score.
Effect of Hydroxyapatite Filler on Mechanical Properties of PE/HAp Composite as a Candidate for Bone Repair
Authors: Qulub Fitriyatul , Wardhani Inten Firdhausi
Published: December 2023

Polymer is one material that can be used as a fixation to repair fractured or broken bones. However, polymers are soft and ductile, so modifying them by adding hydroxyapatite as a filler is necessary. Polyethylene is a high density polymer with more potent material properties to be utilized as a matrix. The PE-HAp composites were synthesized by compacting and heating the composition percentage of Hap 25%, 35% and 45%. Based on the characterization results using XRD, FTIR, and hardness test instruments, it is concluded that the addition of HAp composition results in better composite mechanical properties. The material properties are improving, increasing the hardness value (shore A) by 63 shore A. The hardness value increases because the composite properties are more compact, and the PE matrix physically binds the HAp filler. This is reinforced by XRD and FTIR characterization results, with no new compounds formed and no new molecular vibrational patterns in the FTIR spectrum.
SEVERAL PILLARS OF HEALTH TRANSFORMATION IN INDONESIA: FROM RESILIENCE PHARMACEUTICAL SUPPLY, HEALTH INSURANCE, PRIMARY HEATH CARE, TO DIGITAL HEALTH
Authors: Atika Nur
Published: December 2023

Indonesian Government is currently focusing on several efforts to accelerate the achievement of health goals through the implementation of health transformation initiatives. In November 2022, the Indonesian Minister of Heath announced six pillars for health transformation, which are: (1) transformation of primary service; (2) transformation of referral service; (3) health resilience system transformation; (4) transformation of health financing system; (5) health human resources transformation; (6) transformation of health technology.
FACTORS ASSOCIATED WITH THE UTILIZATION OF PUBLIC HEALTH CENTER IN CENTRAL JAVA
Authors: Khairunnisa Marizka , Laksono Agung Dwi , Purwoko Sidiq , Sulasmi Sri , Nursafingi Afi
Published: December 2023

Background: The Public Health Center (PHC) is a gatekeeper to formal healthcare in Indonesia. PHCs in Central Java have met the basic health facility readiness standard, but there are still numerous challenges to increasing the utilization of PHCs.
Aims: This study aimed to analyze the factors related to the utilization of PHC in Central Java.
Methods: This cross-sectional study used secondary data from the 2018 Indonesia Basic Health Research, with 63,118 total samples. The independent variables were residence, age, gender, marital status, education, insurance, and socioeconomic, while the dependent variable was the utilization of PHC. The data were analyzed using a binary logistic regression.
Results: The average rate of utilization of PHC in Central Java in 2018 was 5.7%. Those aged 46-65 and >65 years old, women, married and widowers, and those with health insurance had a higher possibility of utilizing PHC. Meanwhile, those who graduated from secondary and tertiary school, the employed, and the wealthiest group had a lower possibility of utilizing PHC.
Conclusion: The factors related to the utilization of PHC in Central Java are age group, gender, marital status, education level, working status, health insurance ownership, and socioeconomic status.
Keywords: basic health service, health service access, public health, public health center
FACTORS INFLUENCING EXPECTANT MOTHERS' CONTINUED USE OF DIGITAL HEALTH INFORMATION
Authors: Ofori Philomina Pomaah , Kubuga Kumangkem Kennedy , Louis Dominic Kofi
Published: December 2023

Background: Expectant women receive healthcare education at antenatal care (ANC) clinics, but it is noteworthy that expectant mothers tend to seek information from various sources beyond their primary healthcare providers.
Aims: The study aims to investigate determinants influencing expectant mothers' continuous use of digital media for pregnancy information. 
Methods: The study involves participants of expectant women who attend ANC clinics in five municipal hospitals. The hypotheses were tested with 580 responses using Structural Equation Modeling (SEM) via SmartPLS version 4.
Results: The findings revealed that social media healthcare information usage, perceived severity, and emotional support on social media influence expectant mothers' decisions to continue using digital media for healthcare purposes. However, the effect of perceived vulnerability on social media healthcare information usage was insignificant. 
Conclusion: This study concludes that expectant mothers will continue to adopt digital platforms to access healthcare information. The findings provide recommendations to help healthcare providers advance antenatal care.
Keywords: Emotional support, healthcare, expectant women, SMHIC, social media
A LONG AND WINDING ROAD OF THE TOBACCO-FREE AREAS IMPLEMENTATION IN SEMARANG
Authors: Handayani Novia , Widjanarko Bagoes , Cahyo Kusyogo , Ahsan Abdillah , Kusuma Dian
Published: December 2023

Background: The Tobacco-Free Areas (TFA) policy is an effective way to control the negative effects of smoking on the community, especially passive smokers. Semarang has had a TFA policy since 2013. However, some people still smoke freely in some areas, such as workplaces, kindergartens, and other public places.
Aims: Identifying the implementation of Semarang City Local Government Regulation Number 3 of 2013 concerning Tobacco-Free Areas.
Methods: This was qualitative research using the case study method. Data were collected using in-depth interviews with some key informants according to the inclusion criteria. Triangulation was conducted through observation and in-depth interviews with some informants. Data were analyzed using content analysis.
Results: Some violations still occurred, mostly at the workplace and educational places, including government offices and schools. Violations happened due to inadequate support of the office’s heads, insufficient workers and the society’s awareness, policy rejection, inadequate financial support, lack of media exposure, and obscurity of the regulation articles, which led to misinterpretation. For example, Article 7, verse 3 states that the TFA regulation will be regulated by the mayor's decree. This statement weakens the regulation itself since the mayor's decree is not as strong as the local regulation.
Conclusion: The implementation of Semarang City Local Government Regulation Number 3 of 2013 concerning Tobacco-Free Areas has not been carried out properly in all of the TFA areas. Violations were still found in many areas.
Keywords: regulation, secondhand smokers, smoking, tobacco-free areas
HUMAN RIGHTS-BASED LEGAL PROTECTION FOR HEALTH WORKERS IN CONFLICT ZONES
Authors: Ginting Maria Lusyana Br
Published: December 2023

Background: One of the human rights issues in the health sector is legal protection in conflict areas. The obstacles faced were the limited number of security personnel on guard and the long distance between the security post's location and the conflict's location.
Aims: This study aims to determine how legal protection for health workers in conflict areas is.
Methods: The method of this study is a literature review. The nature of this study is descriptive. The data collection method used is the literature study method, namely by collecting secondary data related to the issues raised.
Results: The results of this study show that the central and regional governments have not been maximal in protecting health workers in conflict areas.
Conclusion: Based on the results and discussion of this study, the recommendations are to make a grand design for health, security, and occupational safety for health workers, specifically in conflict areas, and to make standard operating procedures for handling cases of attacks on health workers in conflict areas.
Keywords: Human Rights, Legal Protection. Health Workers.