bluuebunny/crossref_metadata_2025 huggingface dataset:
Acute Pancreatitis and the Risk of Dementia in Diabetes: A Nationwide Cohort Study Using Korean Healthcare Claims Database
Authors: Paik Woo Hyun , Jang Dong Kee , Cho Soyoung , Choi Jin Ho , Kim Min Kyu , Cho In Rae , Ryu Ji Kon , Kim Yong-Tae , Han Kyung-Do , Lee Sang Hyub
Published: May 2023

Background:

Diabetes is a major risk factor for the development of dementia, which has been proven to be associated with systemic inflammation. Acute pancreatitis, also a local and systemic inflammatory disease, is the most common gastrointestinal disease requiring acute hospitalization.

Objective:

The effect of acute pancreatitis on dementia was investigated in type 2 diabetic patients.

Methods:

Data was collected from the Korean National Health Insurance Service. The study sample included type 2 diabetes patients who received general health examination from 2009 to 2012. Cox proportional hazard regression analysis was used to evaluate the association between acute pancreatitis and dementia with adjustment of confounders. Stratified subgroup analysis by age, sex, smoking, alcohol consumption, hypertension, dyslipidemia, and body mass index was conducted.

Results:

Among the 2,328,671 participants in total, 4,463 patients had a history of acute pancreatitis before the health examination. During a median follow-up of 8.1 (IQR, 6.7–9.0) years, 194,023 participants (8.3%) developed all-cause dementia. Previous history of acute pancreatitis was a significant risk factor for dementia after adjustment of confounding variables (HR 1.39 [95% CI 1.26–1.53]). In the subgroup analysis, patient characteristics such as age under 65 years, male, current smoker, and alcohol consumption were significant risk factors for dementia in patients with a history of acute pancreatitis.

Conclusion:

The history of acute pancreatitis was associated with the development of dementia in patients with diabetes. Because the risk of dementia increases with alcohol consumption and smoking in diabetic patients with history of acute pancreatitis, abstinence from alcohol and smoking should be recommended.
Men Are at Higher Risk of Screening Positive for Vascular Cognitive Impairment Compared to Women after Stroke and Transient Ischemic Attack
Authors: Zinman Julia , Kapoor Arunima , Si Kevin , Sujanthan Sajeevan , Southwell Alisia , Cayley Megan L. , Sicard Michelle N. , Lien Karen , Murray Brian J. , Lanctôt Krista , Herrmann Nathan , Dowlatshahi Dar , Sahlas Demetrios J. , Saposnik Gustavo , Mandzia Jennifer L. , Casaubon Leanne K. , Hassan Ayman , Perez Yael , Swartz Richard H.
Published: May 2023

While women have greater incidence of dementia, men have higher prevalence of vascular risk factors. This study examined sex differences in risk of screening positive for cognitive impairment after stroke. Ischemic stroke/TIA patients (N = 5969) participated in this prospective, multi-centered study, which screened for cognitive impairment using a validated brief screen. Men showed a higher risk of screening positive for cognitive impairment after adjusting for age, education, stroke severity, and vascular risk factors, suggesting that other factors may be contributing to increased risk among men (OR = 1.34, CI 95% [1.16, 1.55], p < 0.001). The effect of sex on cognitive impairment after stroke warrants further attention.
Evaluation of drying kinetics and quality parameters of rosehip pestils dried by three different methods
Authors: Özkan-Karabacak Azime
Published: May 2023

BACKGROUND:

Rosehip fruits cannot be eaten as entire fruits in their fresh feature so they processed into various products including pestils.

OBJECTIVE:

In the current work, rosehip pestil as a new healthy snack food was developed by using hot air (HA) drying at 55, 65 and 75°C, vacuum (VC) drying at 55, 65 and 75°C with 25 kPa and microwave (MCW) drying at 90 and 180 W.

METHODS:

The effect of three different drying methods on drying kinetics and quality parameters i.e., total phenolic content (TPC), antioxidant capacity (AC), Hydroxymethylfurfural (HMF) formation, lycopene, β-carotene content, element composition, color, texture and sensorial properties of rosehip pestils was studied.

RESULTS:

Wang and Singh model was best fitted for MCW drying at 90 W, however Page and Modified Page models were best fitted for other drying conditions. The rosehip pestils dried by MCW drying method had highest drying rate, TPC, AC, lycopene and β-carotene content, element concentration, color values, whereas their HMF content and sensorial properties were not acceptable. Sensory evaluation results indicated that rosehip pestils dried with HA was rated the most acceptable.

CONCLUSIONS:

It was concluded that rosehip pestil with its sensorial and nutritive properties could be an alternative product for the functional food market. However, it has been seen that the drying methods used alone have some disadvantages. For this reason, it may be possible to eliminate these disadvantages if hybrid drying methods (for example MCW drying followed by HA or VC drying) are preferred in future studies.
Tissue engineering in periodontal regeneration: A future paradigm in inflammatory disorder
Authors: Sachdeva Shivani , Saluja Harish , Mani Amit
Published: May 2023

Periodontitis is an inflammatory disorder that results in tissue destruction when there are too many germs present or when the host’s normal inflammatory response is disrupted. The fight against periodontal regeneration is a titanic one. Tissue engineering was suggested by Langer and colleagues as a potential method for replacing the missing periodontal tissues. The development of functional and long-lasting periodontal tissues will take the role of sick tissues thanks to the science of tissue engineering, which combines engineering and the life sciences.

Tissue engineering is an emerging specialisation in the realm of medical health and sciences. It is advancing, spreading its wings over numerous facets of molecular biology, physiology, surgery, regeneration, and molecular medicine. Cell biologists, molecular biologists, biomaterial engineers, experts in microscopic imaging, robotics engineers, computer-assisted designers, and developers of equipment such as bioreactors, where tissues are grown and nurtured, are just a few of the medical and technical specialties that make up the field. Finally, legal advisors and marketing research specialists (product development, and medical implementation) are also involved in the practical process of tissue engineering. New biological organs will be created in the future using engineering and biological techniques.
Predicting Progression of Type 2 Diabetes Using Primary Care Data with the Help of Machine Learning
Authors: Ozturk Berk , Lawton Tom , Smith Stephen , Habli Ibrahim
Published: May 2023

Type 2 diabetes is a life-long health condition, and as it progresses, A range of comorbidities can develop. The prevalence of diabetes has increased gradually, and it is expected that 642 million adults will be living with diabetes by 2040. Early and proper interventions for managing diabetes-related comorbidities are important. In this study, we propose a Machine Learning (ML) model for predicting the risk of developing hypertension for patients who already have Type 2 diabetes. We used the Connected Bradford dataset, consisting of 1.4 million patients, as our main dataset for data analysis and model building. As a result of data analysis, we found that hypertension is the most frequent observation among patients having Type 2 diabetes. Since hypertension is very important to predict clinically poor outcomes such as risk of heart, brain, kidney, and other diseases, it is crucial to make early and accurate predictions of the risk of having hypertension for Type 2 diabetic patients. We used Naïve Bayes (NB), Neural Network (NN), Random Forest (RF), and Support Vector Machine (SVM) to train our model. Then we ensembled these models to see the potential performance improvement. The ensemble method gave the best classification performance values of accuracy and kappa values of 0.9525 and 0.2183, respectively. We concluded that predicting the risk of developing hypertension for Type 2 diabetic patients using ML provides a promising stepping stone for preventing the Type 2 diabetes progression.
Breaking Barriers for Interoperability: A Reference Implementation of CSV-FHIR Transformation Using Open-Source Tools
Authors: Alkarkoukly Samer , Kamal Md. Mostafa , Beyan Oya
Published: May 2023

FHIR is a widely accepted interoperability standard for exchanging medical data, but data transformation from the primary health information systems into FHIR is usually challenging and requires advanced technical skills and infrastructure. There is a critical need for low-cost solutions, and using Mirth Connect as an open-source tool provides this opportunity. We developed a reference implementation to transform data from CSV (the most common data format) into FHIR resources using Mirth Connect without any advanced technical resources or programming skills. This reference implementation is tested successfully for both quality and performance, and it enables reproducing and improving the implemented approach by healthcare providers to transform raw data into FHIR resources. For ensuring replicability, the used channel, mapping, and templates are available publicly on GitHub (https://github.com/alkarkoukly/CSV-FHIR-Transformer).
Assessing Quality of Life Using FHIR – How to Combine Patient Reported Outcome with Patient Generated Data for Better Compliance
Authors: Beutter Chantal N.L. , Werner Patrick , Sigle Stefan , Martens Uwe Marc , Fegeler Christian
Published: May 2023

Quality of life (QoL) is affected by environmental influences and varies between patients. A combined measurement through Patient Reported Outcomes (PROs) and Patient Generated Data (PGD) may enhance the detection of QoL impairments by a longitudinal survey. Leveraging different approaches of QoL measurement techniques, the challenge is to combine data in a standardized, interoperable way. We developed an app (Lion-App) to semantically annotate data from sensor systems as well as PROs to be merged in an overall analysis of QoL. A FHIR implementation guide was defined for a standardized assessment. To access sensor data the interfaces of Apple Health or Google Fit are used instead of integrating various provider directly into the system. Since QoL cannot be collected exclusively via sensor values, a combination of PROs and PGD is necessary. PGD enable a progression of QoL which offers more insight into personal limitations whereas PROs give insight about personal burden. The use of FHIR enables structured exchange of data while personalized analyses might improve therapy and outcome.
Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features
Authors: Shaik Gadda Abdul Aleem , Vedantham Dhanvi , Thomas John , Rajamanickam Yuvaraj , Menon Ramshekhar N. , Agastinose Ronickom Jac Fredo
Published: May 2023

Epilepsy is a neurological disorder characterized by recurrent seizures. Automated prediction of epileptic seizures is essential in monitoring the health of an epileptic individual to avoid cognitive problems, accidental injuries, and even fatality. In this study, scalp electroencephalogram (EEG) recordings of epileptic individuals were used to predict seizures using a configurable Extreme Gradient Boosting (XGBoost) machine learning algorithm. Initially, the EEG data was preprocessed using a standard pipeline. We investigated 36 minutes before the onset of the seizure to classify between the pre-ictal and inter-ictal states. Further, temporal and frequency domain features were extracted from the different intervals of the pre-ictal and inter-ictal periods. Then, the XGBoost classification model was utilized to optimize the best interval for the pre-ictal state to predict the seizure by applying Leave one patient out cross-validation. Our results suggest that the proposed model could predict seizures 10.17 minutes before the onset. The highest classification accuracy achieved was 83.33 %. Thus, the suggested framework can be optimized further to select the best features and prediction interval for more accurate seizure forecasting.
Local Data Quality Assessments on EHR-Based Real-World Data for Rare Diseases
Authors: Tahar Kais , Verbuecheln Raphael , Martin Tamara , Graessner Holm , Krefting Dagmar
Published: May 2023

The project “Collaboration on Rare Diseases” CORD-MI connects various university hospitals in Germany to collect sufficient harmonized electronic health record (EHR) data for supporting clinical research in the field of rare diseases (RDs). However, the integration and transformation of heterogeneous data into an interoperable standard through Extract-Transform-Load (ETL) processes is a complex task that may influence the data quality (DQ). Local DQ assessments and control processes are needed to ensure and improve the quality of RD data. We therefore aim to investigate the impact of ETL processes on the quality of transformed RD data. Seven DQ indicators for three independent DQ dimensions were evaluated. The resulting reports show the correctness of calculated DQ metrics and detected DQ issues. Our study provides the first comparison results between the DQ of RD data before and after ETL processes. We found that ETL processes are challenging tasks that influence the quality of RD data. We have demonstrated that our methodology is useful and capable of evaluating the quality of real-world data stored in different formats and structures. Our methodology can therefore be used to improve the quality of RD documentation and to support clinical research.
Protocol of Validation Mechanisms Within the Design of an Electronic Case Report Form for the MULTI-SITA Project
Authors: Di Meco Gabriele ,   SITA (Italian Society of Anti-Infective Therapy), Giacobbe Daniele Roberto , Mora Sara , Dettori Silvia , Bassetti Matteo , Giacomini Mauro
Published: May 2023

With the wide diffusion of web technology, dedicated electronic Case Report Forms (eCRFs) became the main tool for collecting patient data. The focus of this work is to thoroughly consider the data quality in every aspect of the design of the eCRF, with the result of having multiple steps of validation that should produce a diligent and multidisciplinary approach towards every step of data acquisition. This goal affects every aspect of the system design.
Scale Up Multilingualism in Health Emergency Learning: Developing an Automated Transcription and Translation Tool
Authors: Utunen Heini , Staubitz Thomas , George Richelle , Zhao Yu (Ursula) , Serth Sebastian , Tokar Anna
Published: May 2023

World Health Organization’s (WHO) emergency learning platform OpenWHO provided by Hasso Plattner Institut (HPI) delivered online learning in real-time and in multiple languages during the COVID-19 pandemic. The challenge was to move from manual transcription and translation to automated to increase the speed and quantity of materials and languages available. TransPipe tool was introduced to facilitate this task. We describe the TransPipe development, analyze its functioning and report key results achieved. TransPipe successfully connects existing services and provides a suitable workflow to create and maintain video subtitles in different languages. By the end of 2022, the tool transcribed nearly 4,700 minutes of video content and translated 1,050,700 characters of video subtitles. Automated transcription and translation have enormous potential as a public health learning tool, allowing the near-simultaneous availability of video subtitles on OpenWHO in many languages, thus improving the usability of the learning materials in multiple languages for wider audiences.
On the Effective Dissemination and Use of Learning Objectives Catalogs for Health Information Curricula Development
Authors: Bott Oliver J. , Berger Ursula , Egbert Nicole , Herrmann Carolin , Schneider Birgit , Sellemann Björn , Spreckelsen Cord , Strahwald Brigitte , Varghese Julian , Winter Alfred
Published: May 2023

Catalogs of competency-based learning objectives (CLO) were introduced and promoted as a prerequisite for high-quality, systematic curriculum development. While this is common in medicine, the consistent use of CLO is not yet well established in epidemiology, biometry, medical informatics, biomedical informatics, and nursing informatics especially in Germany. This paper aims to identify underlying obstacles and give recommendations in order to promote the dissemination of CLO for curricular development in health data and information sciences. To determine these obstacles and recommendations a public online expert workshop was organized. This paper summarizes the findings.
Quantitative Study of a Regional Patient Portal Usage in the Pandemic Period
Authors: Quiles Javier , López Ricardo , Rosón Benigno
Published: May 2023

In 2013 using a Public Procurement of Innovation procedure the Region of Galicia developed a patient portal called “E-Saúde”, that went live in 2015. COVID situation in 2019 produced a high demand of e-health services, scaling by 10x the number of users in 2021. Objective: In this study a quantitative description of patient portal usage from 2018 to 2022 is made to show the behaviour of usage trends of a patient portal before, during and after COVID pandemic. Methods: Two main data sets were obtained from patient portal logs to obtain: 1) Enrolment of new users and number of sessions opened in the portal. 2) Detailed usage of relevant functionalities. Descriptive statistical methods were applied to show the usage of the portal in a biannual time series description. Results: Prior to the pandemic, the portal was gradually being introduced to citizens. During pandemics, more than 1 million users were registered and a peak of 15x usage could be observed. After COVID, the level of usage of portal services decreased, but kept a sustained trend five times higher than in Pre-COVID situation. Conclusion: There is limited information available on metrics, functionalities and acceptability for general purpose patient portals, but the analysis performed on usage levels shows that after a high peak reached during COVID period, explained by the need of direct access to clinical information, the level of usage of the patient portal remains five times higher than in pre-pandemic situation for all functionalities of the patient portal.
Enhancing Inclusive mHealth Design for People Living with Dementia: Examples from Literature
Authors: Engelsma Thomas , Jaspers Monique , Peute Linda
Published: May 2023

The availability of mHealth technologies for older adults living with dementia is increasing. However, due to highly complex and varying clinical presentations of dementia, these technologies do not always meet their needs, wishes and capabilities. An exploratory literature review was performed to identify studies that applied evidence-based design principles or provide design choices that aim to improve mHealth design. These were categorized as a unique design choice to tackle barriers to mHealth use related to cognition, perception, physical ability, frame of mind, or speech- and language. Through thematic analysis, themes of design choices were summarized per category in the MOLDEM-US framework. Thirty-six studies were included for data extraction, leading to seventeen categories of design choices. This study pushes the need to further investigate and refine inclusive mHealth design solutions for populations with highly complex symptoms, such as those living with dementia.
Observational Cohort Study Dedicated to Autism Spectrum Disorder: Milestone Steps, Results Updates, Perspectives
Authors: Ben Said Mohamed ,   TEDIS Study Group, Robel Laurence , Kpenou Fanny , Jais Jean-Philippe , Speranza Mario
Published: May 2023

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by persistent difficulties in two domains: social communication and interaction, alongside with restricted, repetitive pattern of behaviors. It affects children and persists into adolescence and adulthood. Its causes and underlying psychopathological mechanisms are unknown and remain to be discovered. TEDIS cohort study developed over the decade 2010–2022, in Ile-de-France region, includes 1300 patients’ files up to date, with valuable health information drawn from ASD evaluation. It provides researchers and decision makers with reliable data source to improve knowledge and practice in the context of ASD patients.
Digital Disease Surveillance for Emerging Infectious Diseases: An Early Warning System Using the Internet and Social Media Data for COVID-19 Forecasting in Canada
Authors: Yang Yang , Tsao Shu-Feng , Basri Mohammad A. , Chen Helen H. , Butt Zahid A.
Published: May 2023

Background: Emerging Infectious Diseases (EID) are a significant threat to population health globally. We aimed to examine the relationship between internet search engine queries and social media data on COVID-19 and determine if they can predict COVID-19 cases in Canada. Methods: We analyzed Google Trends (GT) and Twitter data from 1/1/2020 to 3/31/2020 in Canada and used various signal-processing techniques to remove noise from the data. Data on COVID-19 cases was obtained from the COVID-19 Canada Open Data Working Group. We conducted time-lagged cross-correlation analyses and developed the long short-term memory model for forecasting daily COVID-19 cases. Results: Among symptom keywords, “cough,” “runny nose,” and “anosmia” were strong signals with high cross-correlation coefficients >0.8 ( rCough = 0.825, t - 9; rRunnyNose = 0.816, t - 11; rAnosmia = 0.812, t - 3 ), showing that searching for “cough,” “runny nose,” and “anosmia” on GT correlated with the incidence of COVID-19 and peaked 9, 11, and 3 days earlier than the incidence peak, respectively. For symptoms- and COVID-related Tweet counts, the cross-correlations of Tweet signals and daily cases were rTweetSymptoms = 0.868, t - 11 and tTweetCOVID = 0.840, t - 10, respectively. The LSTM forecasting model achieved the best performance (MSE = 124.78, R2 = 0.88, adjusted R2 = 0.87) using GT signals with cross-correlation coefficients >0.75. Combining GT and Tweet signals did not improve the model performance. Conclusion: Internet search engine queries and social media data can be used as early warning signals for creating a real-time surveillance system for COVID-19 forecasting, but challenges remain in modelling.
Automated Classification of Exercise Exertion Levels Based on Real-Time Wearable Physiological Signal Monitoring
Authors: Smiley Aref , Havrylchuk Ihor , Tsai Te-Yi , Zakashansky Elena , Gabriel Aileen , Xhakli Taulant , Cui Wanting , Parvanova Irena , Cui Hu , Finkelstein Joseph
Published: May 2023

This study aimed to build machine learning (ML) algorithms for the automated classification of cycling exercise exertion levels using data from wearable devices. The best predictive features were selected using the minimum redundancy maximum relevance algorithm (mRMR). Top selected features were then used to build and assess the accuracy of five ML classifiers to predict the level of exertion. The Naïve Bayes showed the best F1 score of 79%. The proposed approach may be used for real-time monitoring of exercise exertion.
Tracking of Nutritional Intake Using Artificial Intelligence
Authors: Petković Marko , Maas Joyce , Petković Milan
Published: May 2023

In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating disorders. We demonstrate feasibility of applying deep learning based image analysis to a single picture of a food dish to recognize food types and make a volume estimation.
Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives
Authors: Chen Xiaoyi , Faviez Carole , Vincent Marc , Saunier Sophie , Garcelon Nicolas , Burgun Anita
Published: May 2023

In the context of medical concept extraction, it is critical to determine if clinical signs or symptoms mentioned in the text were present or absent, experienced by the patient or their relatives. Previous studies have focused on the NLP aspect but not on how to leverage this supplemental information for clinical applications. In this paper, we aim to use the patient similarity networks framework to aggregate different phenotyping modalities. NLP techniques were applied to extract phenotypes and predict their modalities from 5470 narrative reports of 148 patients with ciliopathies (a group of rare diseases). Patient similarities were computed using each modality separately for aggregation and clustering. We found that aggregating negated phenotypes improved patient similarity, but further aggregating relatives’ phenotypes worsened the result. We suggest that different modalities of phenotypes can contribute to patient similarity, but they should be aggregated carefully and with appropriate similarity metrics and aggregation models.
How Good Is ChatGPT for Medication Evidence Synthesis?
Authors: Liu Hao , Peng Yifan , Weng Chunhua
Published: May 2023

With its seeming competence to mimic human responses, ChatGPT, an emerging AI-powered chatbot, has spurred great interest. This study aims to explore the role of ChatGPT in synthesizing medication literature and compare it with a hybrid summarization system. We tested ten medications’ effectiveness with reference to their definitions and descriptions extracted from DrugBank. ChatGPT could generate coherent summaries that are not backed by evidence. In contrast, our approach can provide a highly structured and concise synthesis of related evidence, but the resulting summary is not as fluent and convincing as ChatGPT. Therefore, we recommend integrating both techniques to achieve the best performance.
Migrants, Families, and Religion: An Intriguing Research Agenda. Book’s Content and Introduction
Authors: Zanfrini Laura
Published: May 2023

This chapter introduces the collection of essays presented in the book, starting by describing the challenging and exploratory meaning of the relationship between family, religion, and immigration. In the European landscape, only recently has the religion of migrants started to be investigated in new ways, that are careful to grasp the complexity of the religious experience and to avoid pre-conceived and stereotyped readings: a sort of “normalisation” in the approach to the topic, fed by both migration studies and religion studies. The chapter presents a reading of a selected sample of recent studies, adopting an approach based on the de-instrumentalization of religion and on the re-humanization of migrants, enabling them to express their subjective outlook on their own experience and on the significance of religious belonging. Lastly, the contents of the following chapters are presented and discussed.
“Doing Family” and Religious Belonging of Immigrants. Case Studies in South Italy
Authors: Ferrante Lorenzo
Published: May 2023

This contribution is focused on the immigrant’s re-shaping identity in the integration process through the phenomena of the “doing family” and religious belonging. It provides both theoretical analysis and empirical evidence of relationships between immigrants, the role of religion as a significant dimension of contemporary family migration and integration processes. What happens when people of diverse cultures, values, religion live together? Immigrants who “arrive” continue their life in a place where they do not passively participate over time but become actors. Pressed by the hegemonic culture of the host society, immigrants do not cease to practice their religious and origin cultural expressions. They do not renounce to constitute a family in a foreign contest in which they have to adapt, assimilate lifestyles, observe local laws. Considering the impact of religion and cultural origin values on public and private expression of differences, it is important to consider their role in the integration process. These dynamics have been analyzed in a research study on immigrants’ integration process in Palermo. The analysis, focused on super-conformism and ethnic persistence of the most numerous immigrant communities in the context of analysis (Islamic Ummah and the Indian Dharma) delineated the integration declinations through syncretism and cultural contagions. Immigrants, participate in the construction of a local model of integration in which immigrants, free to express their religious and cultural differences, tend to reduce their perception of minority.
Subjective visual vertical and head position in patients with idiopathic scoliosis
Authors: Kučerová Klára , Šafářová Marcela , Illinger Vojtěch , Koutná Sára , Šonská Kristýna , Levínská Kateřina , Čakrt Ondřej
Published: May 2023

BACKGROUND: Idiopathic scoliosis (IS) is a structural spinal deformity that can affect the position of the head. One of the etiological hypotheses is that it can be caused by dysfunction of the vestibular system, which can cause abnormal perception of subjective visual vertical (SVV). OBJECTIVE: This study aimed to evaluate the differences in head position and its possible correlation with the perception of SVV in children with IS. METHODS: We examined 37 patients with IS and 37 healthy individuals. The position of the head was evaluated from digital photographs, where we compared the coronal head tilt and the coronal shoulder angle. Measurement of SVV perception was performed using the Bucket method. RESULTS: Coronal head tilt values were significantly different between the groups (median 2.3° [interquartile range 1.8–4.2] vs 1.3° [0.9–2.3], p = 0.001; patients vs. controls). There was a significant difference in SVV between the groups (2.33° [1.40–3.25] vs 0.50° [0.41–1.10], p < 0.001; patients vs controls). There was a correlation between the side of head tilt and the side of SVV in patients with IS (χ2 = 5.6, p = 0.02). CONCLUSIONS: Patients with IS had a greater head tilt in the coronal plane and impaired SVV perception.
Pembelajaran IPS Berbasis Literasi dalam Meningkatkan Keterampilan Berpikir Kritis Siswa
Authors: Tusriyanto Tusriyanto , Nadiroh Nadiroh , Japar Japar
Published: May 2023

Penelitian ini merupakan bagian dari disertasi bertujuan menumbuhkan budaya literasi bagi peserta didik di Sekolah Dasar khususnya pada tahap pembiasaan. Berdasarkan hasil persurvey yang dilakukan oleh peneliti di SDN 06 Metro Utara diperoleh data disetiap kelas belum ada ruang pojok baca, sehingga kebiasaan membaca 15 menit sebelum/sesudah selesai pembelajaran tidak dilakukan.  Literasi sangat penting bagi individu serta mendukung kemajuan suatu negara dalam berbagai bidang, seperti ekonomi, sosial, ilmu pengetahuan dan teknologi. Penelitian ini dilaksanakan di SDN 06 Metro Utara menggunakan pendekatan kualitatif dan alat pengumpul data yang digunakan adalah observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwasanya setelah diberikan pengertian tentang pentingnya kegiatan literasi, seperti tempat pojok baca di kelas, melakukan pembiasaan membaca sebelum/sesudah membaca sudah dilaksanakan khususnya di kelas V SDN 06 Metro Utara. Selain itu, buku yang dibaca oleh peserta didik ditulis judul, pengarang serta membuat catatan terkait apa yang telah dibaca. Kegiatan literasi harus terus digalakkan mengingat salah satu tolak ukur keberhasilan pendidikan adalah banyaknya anak yang gemar membaca. Kegiatan pembelajaran IPS berbasis literasi terbukti memberikan peningkatan pada ketarampilan berpikir kritis peserta didik. Hal ini dapat dilihat pada data keterampilan berpikir kritis peserta didik (memberikan penjelasan sederhana, membangun keterampilan dasar, membuat inferensi, memberi penjelasan lanjut, mengatur strategi dan taktik).
Fisioterapia nas Disfunções Miccionais em Mulheres Tratadas de Cânceres Pélvicos: Revisão Sistemática da Literatura
Authors: Santos Ariane Maria Dias dos , Reis Gabriela de Jesus , Giron Patrícia Santolia , Rizzi Samantha Karlla Lopes de Almeida
Published: May 2023

Introdução: Os tratamentos cirúrgicos ou adjuvantes dos cânceres ginecológicos podem desencadear sequelas, entre elas, as disfunções miccionais: incontinência urinária, retenção urinária e bexiga hiperativa. A primeira linha de tratamento dessas disfunções consiste em tratamentos conservadores, incluindo a fisioterapia, o que torna importante revisar a literatura vigente sobre o tema. Objetivo: Revisar na literatura a atuação do fisioterapeuta nas disfunções miccionais em mulheres tratadas de cânceres pélvicos. Método: Revisão sistemática, com estratégias de busca nas bases de dados PubMed, Embase e Cochrane, utilizando a ferramenta PICO: P – mulheres tratadas de cânceres pélvicos, I – fisioterapia ou eletroterapia, C – “nenhum/não se aplica”, e O – disfunções pélvicas. Resultados: Foram encontrados 93 estudos. Destes, selecionaram-se sete para leitura do texto completo e extração de dados. Dos três artigos que abordam o manejo da incontinência urinária, todos utilizaram o treinamento da musculatura do assoalho pélvico como pelo menos um dos procedimentos fisioterapêuticos, tendo metodologia semelhante. Dos quatro artigos que abordam a retenção urinária, em dois, houve utilização de estimulação elétrica transcutânea e, nos outros dois, treinamento funcional da musculatura do assoalho pélvico. Os estudos mostraram uma melhora dos sintomas relacionados à incontinência e retenção urinária, no entanto, a qualidade metodológica de alguns estudos foi baixa. Conclusão: A fisioterapia é um tratamento promissor no manejo de disfunções miccionais no pós-tratamento de cânceres pélvicos. No entanto, a evidência atual deve ser vista com parcimônia em razão da qualidade metodológica dos estudos.
Identifikasi Morfologi Ulva intestinalis dan Acanthophora spicifera di Kawasan Pantai Tanjung Layar, Sawarna, Bayah, Kabupaten Lebak, Banten
Authors: RAMDAN MUHAMAD RAIF , NURAENI ENI
Published: May 2023

Di wilayah pesisir Indonesia terdapat kekayaan dan keanekaragaman sumber daya alam yang melimpah. Kekayaan keanekaragaman sumber daya alam, khususnya keanekaragaman hayati (biodiversity) laut Indonesia, merupakan yang terbesar di dunia, karena memiliki ekosistem pesisir seperti hutan mangrove, terumbu karang, dan padang lamun yang sangat luas dan beragam. Alga laut (seaweed) belum memiliki bagian akar, batang, dan daun sejati, namun masih berupa tallus. Salah satu daerah penyebaran keanekaragaman alga terdapat di kawasan Pantai Tanjung Layar, Sawarna, Bayah, Kabupaten Lebak, Banten. Alga yang dapat ditemukan di daerah tersebut, diantaranya Ulva intestinalis dari divisi Chlorophyta dan Acanthophora spicifera dari divisi Rhodophyta. Tujuan penelitian ini adalah untuk mengidentifikasi morfologi Ulva intestinalis dan Acanthophora spicifera yang ditemukan di kawasan Pantai Tanjung Layar. Penelitian  dilakukan pada Desember 2020 dengan metode eksplorasi. Teknik pengambilan sampel yang digunakan adalah purposive sampling. Pada masing-masing sampel diidentifikasi morfologinya di laboratorium menggunakan lup atau mikroskop stereo. Sampel dideskripsikan berdasarkan ciri-ciri morfologi yang diamati. Hasil penelitian menunjukkan bahwa morfologi Ulva intestinalis terdiri dari talus yang menyerupai lembaran-lembaran kecil pipih, berwarna hijau, mengandung kloroplas, bercabang-cabang, dan holdfast berbentuk serabut. Adapun morfologi Acanthophora spicifera terdiri dari talus yang pendek, berwarna hijau kecokelat-cokelatan, bercabang-cabang, berbentuk seperti duri dan silindris, dan holdfast (rizoid) berbentuk serabut.
Identifikasi Morfologi Marchantia polymorpha dan Leucobryum glaucum di Bojong Menteng, Kecamatan Cijeruk, Kabupaten Bogor, Jawa Barat
Authors: SOLIHAT SITI SUMIATI , KURNIA MUHAMMAD FARHAN
Published: May 2023

Bogor merupakan salah satu kota di Jawa Barat yang dikenal sebagai ‘kota hujan’. Hal ini dikarenakan daerah tersebut memiliki curah hujan yang tinggi, sehingga memungkinkan Bogor memiliki banyak tempat yang lembap. Hal ini menjadikan wilayah Bogor memiliki keanekaragaman hayati yang tinggi. Berbagai jenis tumbuhan mudah ditemukan di daerah tersebut, salah satu diantaranya lumut. Penelitian ini bertujuan untuk mengidentifikasi karakter morfologi lumut di kampung Bojong Menteng, Desa Cibalung, Kecamatan Cijeruk, Kabupaten Bogor, Jawa Barat. Pengambilan sampel dilakukan pada Januari 2021 menggunakan metode eksplorasi dengan teknik purposive sampling. Berdasarkan hasil penelitian diperoleh dua spesies lumut yang dapat dikelompokkan ke dalam dua divisi yang berbeda, yaitu Marchantia polymorpha dari divisi Marchantiophyta dan Leucobryum glaucum dari divisi Bryophyta.
Keanekaragaman, Status Konservasi, dan Potensi Suku Fabaceae Koleksi Kebun Raya Bogor
Authors: HARIRI MUHAMMAD RIFQI , PENIWIDIYANTI PENIWIDIYANTI , IRSYAM ARIFIN SURYA DWIPA , ASTUTI RATNA SUTI
Published: May 2023

Fabaceae merupakan salah satu suku tumbuhan berbunga terbesar di dunia. Sebanyak 547 spesimen tercatat sebagai koleksi hidup di Kebun Raya Bogor. Sebagian koleksi memiliki manfaat yang telah banyak diketahui, sedangkan sebagian lain masih perlu dikaji lebih mendalam. Kajian ini bertujuan untuk mengungkap keragaman jenis Fabaceae di Kebun Raya Bogor, status konservasi, dan potensi yang dimiliki. Penelitian ini dilakukan melalui pengamatan secara langsung dan analisis database registrasi Kebun Raya Bogor. Koleksi hidup suku Fabaceae di Kebun Raya Bogor terbagi menjadi 5 anak suku, yakni Caesalpinioideae, Cercidoideae, Detarioideae, Dialioideae, dan Papilionoideae. Anak suku Caesalpinioideae memiliki jumlah anggota paling banyak yakni 35 marga, sedangkan anak suku dengan anggota paling sedikit adalah Cercidoideae dan Dialioideae yakni 2 marga. Pemanfaatan, potensi, dan status konservasi koleksi Kebun Raya Bogor dipaparkan pada makalah ini.
КОНЦЕПТУАЛЬНА ОСНОВА МОНІТОРИНГУ В СИСТЕМІ СТРАТЕГІЧНОГО УПРАВЛІННЯ ОСВІТНЬОЇ ГАЛУЗІ
Authors:   International Scientific and Technical University named after Academician Yuri Bugay, Bazhenkov Ievgen
Published: May 2023

The article considered the conceptual basis of monitoring in the system of strategic management of the educational sector. The essence of monitoring in the system of strategic management of the educational sector was defined. The concept of "Monitoring" was defined. The role of monitoring in intra-branch management was determined. The subject of monitoring in the educational sector was singled out. Subjects that can be monitored in the educational sector were listed. The general goal of monitoring was noted, which consists in obtaining analytical or synthetic information that will contribute to the adoption of strategic management decisions to ensure increased efficiency of the intra-branch system. The main functions of monitoring in the system of strategic management of the educational sector were analyzed. The principles of monitoring in the system of strategic management of the educational sector were determined. Such principles are systematicity, planning, comprehensiveness, independence and accuracy. The main stages, which provide for monitoring in the system of strategic management of the educational sector, were listed. The most important stage of monitoring in the system of strategic management of the educational sector was determined. Such a stage is the formation of the monitoring program, which is the basis of the study. The functions performed by the monitoring program in the system of strategic management of the educational sector were defined. The general model of the monitoring program in the system of strategic management of the educational sector was illustrated. The areas covered by the monitoring of the intra-branch environment of the educational sector as a holistic management tool were listed. The importance of the monitoring report in the intra-industry environment, which consists in providing clearly structured and objectively displayed information, was analyzed. The characteristics that need to be performed during monitoring in the conditions of digitization of management processes have been singled out. The main tasks that must be performed to achieve the effectiveness of monitoring were listed. Conclusions were made regarding monitoring in the system of strategic management of the educational sector, its importance and role.
STATE AND REGIONAL INVESTMENT IN THE DEVELOPMENT OF RURAL AREAS (INFRASTRUCTURAL ASPECT)
Authors:   National Academy of Management, Shtuler Iryna , Serzhanov Vitaly ,   Uzhhorod National University
Published: May 2023

The article is devoted to the study of state and regional investment in the development of rural areas, taking into account the infrastructural aspect In today's conditions of rapid development of digital technologies, structural economic changes and changes in the state of the surrounding natural environment, it becomes especially important when the environment in which the development of rural areas is characterized by a high degree of uncertainty and unpredictability, the availability of their state and regional support is extremely important.It was established that life in rural areas has its own specifics and features, and its infrastructural support is characterized by the following aspects.It was determined that the issues of state and regional investment require the solution of special problems faced in rural areas, but these problems have, surprisingly, a number of advantages. The main internal factors of state and regional investment with regard to the infrastructural aspect include: level of qualification, intellectual potential, motivation, family traditions, religion, belonging to the social environment, etc. The main external factors of state and regional investment with regard to the infrastructural aspect include: demographic processes, legal norms, infrastructure, the state support system, the level of production development, the state of the natural environment, etc. A comparison of the rural areas of the oblasts was made in terms of infrastructure. The highest level of infrastructural provision is characterized by such regions as: Lviv, Ternopil, and Poltava. Mykolaiv, Kirovohrad and Transcarpathian regions are characterized by the lowest level of infrastructure support. Also, one of the painful issues noted not only by scientists or practitioners, but by all citizens is the unsatisfactory condition of road surfaces in rural areas. Although in some regions the "Major Construction" Program is being implemented quite successfully.
УТОЧНЕННЯ СУТНОСТІ КАТЕГОРІЇ «ЯКІСТЬ»
Authors:   Zhytomyr Polytechnic State University, Svitlyshyn Ihor , Svitlyshina Iryna ,   Zhytomyr Polytechnic State University
Published: May 2023

At the current stage of the development of the national and world economy, the problem of the quality of products and services, as well as the functioning of enterprises in general, has become particularly relevant, which is caused by the action of the objective economic laws of the development of society. The effectiveness and efficiency of the functioning of business entities largely depend on the level of quality they achieve, which ensures their competitiveness in a highly dynamic business environment. All of the above attracted the attention of scientists and practitioners, which led to the appearance of a significant number of works on this problem. However, the results of the study of the scientific literature indicate the existence of differences in the views of scientists regarding the theoretical, methodological, methodical and practical aspects of the quality problem. This complicates the process of quality management, makes it impossible to form an effective approach to improving quality in existing business conditions. Therefore, further thorough research is necessary, first of all, of the essence of this category, which will make it possible to form a theoretical basis for this problem in the future. By conducting a theoretical analysis, systematization and generalization of existing scientific and regulatory provisions, the essence of the category "quality" was clarified. Philosophical, social, ecological, technical, economic and legal positions regarding the essence of the "quality" category, as well as provisions of international and domestic standards of the ISO series, were applied in the research process. It was established that quality is the result of compliance of the object's own characteristics with the requirements that constantly progress and shape these own characteristics. The reasons for changing the requirements for the object can be not only the influence of environmental factors on them, but also the influence of the object's own characteristics. This interpretation of the essence of the "quality" category is, in our opinion, more complete compared to those available in the scientific literature. It reflects two sides of quality: as a result of meeting requirements with the object's own characteristics and as a result of forming the object's own characteristics according to progressive requirements. In addition, the interpretation of quality in the proposed edition makes it possible to form an approach to ensuring and improving quality - as a continuous process, on the one hand, meeting requirements that are constantly changing (progressing) by the object's own characteristics, on the other hand, as improving its own characteristics of the object based on the discovery of new, more complex (progressive) requirements.
The Value of Dynamic Contrast-Enhanced MRI in Predicting the Response of Idiopathic Granulomatous Mastitis to Steroid Therapy and Comparison of Clinical and Radiological Outcomes
Authors: Rona Günay , Arifoğlu Meral , Çetin Kenan , Kündeş Muhammet Fikri
Published: May 2023

Background: The aim of this study was to investigate the value of pre-treatment dynamic contrast-enhanced MRI (DCE-MRI) findings in predicting clinical and radiological response to treatment in patients with idiopathic granulomatous mastitis (IGM) receiving steroid therapy and to compare clinical and DCE-MRI results after treatment.
Methods: Pre- and post-treatment MRI examinations of 86 patients (with a mean age of 33.8 years; range, 20–57 years) diagnosed with IGM between January 2014 and September 2022 were retrospectively evaluated. Lesion characteristics and longest diameter, number of involved quadrants, retroareolar involvement, and presence of fistula or lymphadenopathy were noted. Patients were categorized into clinical complete response (CCR), clinical non-response (CNR) groups based on clinical response and into radiological complete response (RCR) and radiological non-response (RNR) groups based on radiological response. 
Results: The analyses revealed no relationship between the lesion type (abscess, NME, abscess, and NME), presence of lymphadenopathy or fistula, number of involved quadrants, retroareolar involvement, and treatment response on pre-treatment MRI (p>0.05). The longest lesion diameter was smaller in the CCR group than in the CNR group (p = 0.02). After treatment, 40.7% (35/86) of the patients achieved RCR + CCR, while 16.3% (14/86) achieved RNR + CNR. On the other hand, 43% (37/86) of the patients achieved CCR + RNR.
Conclusion: CCR is more common in patients with smaller lesions. Other pre-treatment MRI findings were not correlated with radiological or clinical response. A significant proportion of patients with CCR had residual lesions radiologically.