bluuebunny/crossref_metadata_2025 huggingface dataset:
The insert and revolve technique: a novel approach for inserting cages during unilateral biportal endoscopic assisted fusion surgery for effective spinal alignment restoration
Authors: Ha Ji Soo , Kulkarni Shreenidhi , Kim Do-Hyoung , Kim Chang-Wook , Sakhrekar Rajendra , Han Hee-Don
Published: August 2024

Study Design: Retrospective study.Purpose: This study aimed to propose a method of performing unilateral biportal endoscopy (UBE)-assisted interbody cage insertion for fusion using the “insert and revolve” technique and analyze the clinico-radiological outcomes.Overview of Literature: UBE-assisted lumbar interbody fusion (ULIF) is a rapidly evolving technique combining the advantages of minimally invasive technique with ease of learning. The limited size of cages was a result of the narrow insertion channel. We propose a technique in which large extreme lateral interbody fusion cages can be inserted through the same opening.Methods: This study included 104 patients who underwent ULIF using the “insert and revolve technique” between July 2019 and September 2022. The patients were followed up for at least 12 months postoperatively. The clinical outcomes were assessed using the Visual Analog Scale (VAS) for leg pain and back pain, Oswestry Disability Index (ODI), and modified McNab’s criteria. Changes in segmental lordosis (SL), intervertebral disc height (IVDH), segmental coronal alignment (SCA), cage subsidence, and fusion grade were evaluated at 6- and 12-month follow-up.Results: The VAS scores for leg and back pain and ODI score showed significant improvement. Based on the Macnab’s criteria, 97 patients showed excellent outcomes and seven demonstrated good outcomes at 12 months. The mean IVDH increased from 6.3±2 to 10±2.1 mm immediately after surgery and 10±1.1 mm at 6 months. SL improved from 9.3°±11.5° to 17.78°±8.1°, while SCA improved from 7.7°±2.1° to 3.4°±1.2° at 1 year. Moreover, 92 and 11 patients showed grade 1 and 2 fusion, respectively, according to the Bridwell grading at 1 year.Conclusions: The “insert and revolve technique” facilitates the successful insertion of large cages, contributing to the restoration of disc height and coronal and sagittal spinal correction with favorable fusion rates.
Adjacent segment degeneration at a minimum 2-year follow-up after posterior lumbar interbody fusion: the impact of sagittal spinal proportion: a retrospective case series
Authors: Wei Xuepeng , Yamato Yu , Hasegawa Tomohiko , Yoshida Go , Banno Tomohiro , Oe Shin , Arima Hideyuki , Ide Koichiro , Yamada Tomohiro , Kurosu Kenta , Matsuyama Yukihiro
Published: August 2024

Study Design: A retrospective cohort study.Purpose: To investigate the sagittal plane configuration of the entire spine and its association with the risk of adjacent segment degeneration (ASD) after posterior lumbar interbody fusion (PLIF).Overview of Literature: Although PLIF has demonstrated satisfactory clinical outcomes, it is associated with ASD. However, the geometric mechanical changes that contribute to the occurrence of ASD are not well characterized.Methods: Radiological parameters were extracted from the whole lateral radiographs. Patients were divided into two groups: the ASD group (segmental kyphosis of ≥10º, and/or a ≥50% loss of disc height, and/or ≥3 mm of anteroposterior translation) and the non-ASD group.Results: All 112 included patients underwent PLIF for lumbar degenerative diseases. The minimum follow-up period was 2 years, with an average follow-up time of 63.6 months. Fifty-two patients (46.4%) were classified into the ASD group and of these, 13 required reoperation due to failure of conservative treatment. Patients with ASD exhibited significantly more caudal and posterior inflection vertebrae (IV), while the lumbar apical vertebra was significantly more caudal immediately after surgery. The IV position was identified as a significant risk factor for ASD, and the ASD incidence was significantly higher in the group where IV ≤5 (L1 vertebral body) than in the group where IV ≥5.5 (T12–L1 disc) (69.0% vs. 38.6%).Conclusions: The IV position is a significant risk factor for ASD development. Although it is difficult to control intraoperative IV levels, we note a high risk of ASD in patients with IV lower than T12–L1.
Ansiedad Estudiantil y Percepción de la Gestión en Instituciones de Educación Superior en Iberoamérica durante la Pandemia
Authors: Said-Hung Elias , Matarín Rodríguez-Peral Eva
Published: August 2024

Introducción: El estudio tiene como objetivo medir, desde la perspectiva de los estudiantes universitarios, el nivel de ansiedad formativa y valoración de la gestión llevada a cabo por las instituciones de educación superior en Iberoamérica durante las primeras semanas de confinamiento ante la COVID-19. Metodología: El trabajo se basa en una encuesta online aplicada a 523 estudiantes de instituciones de educación superior de Argentina, Colombia, Chile, España, México y Puerto Rico. Conclusiones: El estudio apunta a la necesidad de las instituciones de educación superior de promover acciones institucionales (académicas y administrativas) que mejoren el bienestar psico-social de sus estudiantes.
El papel mediador del autoconcepto académico en la relación burnout y satisfacción con la vida
Authors: Bastidas Guerrón Jeaneth Lucía , Cárdenas Fierro Tanya Malena , Cárdenas Fierro Gisselle Mariuxi , Mora Lucero Ana Cristina , Curiel López Evelyn Marlene
Published: August 2024

Introducción: El propósito de este artículo es demostrar si el autoconcepto académico media la relación entre el burnout y la satisfacción con la vida en estudiantes de la Universidad Politécnica Estatal del Carchi. Metodología: Se contó con la participación efectiva de 502 estudiantes. La información se analizó mediante el modelado de ecuaciones estructurales y para probar el efecto de mediación se empleó el método Monte Carlo. Resultados: Los principales hallazgos indican que el burnout se relaciona negativamente tanto con el autoconcepto académico, como con la satisfacción con la vida. También se encontró que el efecto indirecto del autoconcepto en la relación del burnout y la satisfacción con la vida fue estadísticamente significativo. Discusión: Se trata de una mediación parcial que confirma que los recursos personales (como el autoconcepto) pueden mitigar los efectos negativos del burnout sobre la satisfacción con la vida, sin embargo, se necesitan más estudios que controlen otras variables como el tipo de actividades estudiantiles que generan el burnout. Conclusiones: El burnout es un problema con implicaciones serias para la salud de los estudiantes, por lo tanto, los responsables universitarios en la toma de decisiones deben tomarlo en cuenta en sus políticas de bienestar estudiantil.
La resignificación de la Llorona a través de las épocas: de mito a performance política
Authors: Sartini Ilaria
Published: August 2024

Introducción: La Llorona es una figura legendaria de la cultura oral mexicana y latinoamericana, la madre condenada a vagar por la eternidad en busca de sus hijos. En el tiempo, por razones sociopolíticas, la Llorona ha pasado por diferentes resignificaciones. Metodología: Este texto, a través de un análisis bibliográfico cualitativo de fuentes primarias, secundarias y canciones, quiere hacer una aproximación a la evolución simbólica de esta figura. Además, a través de un enfoque en la evolución del producto cultural actual, en relación con el contexto que lo ha generado, analizar quién es la Llorona de nuestro tiempo. Resultados: Desde la madre todopoderosa precolombina, hasta hoy en día, a las madres de los y las desaparecidxs de México, que llegan a identificarse y revindicar la Llorona, como hicieron los familiares de los estudiantes de Ayotzinapa. Hoy las madres de las víctimas se unen en movimientos sociopolíticos, buscando justicia. Conclusiones: Una figura tan remota como la Llorona, desvela su actualidad convirtiéndose en lente para analizar la realidad sociopolítica y cultural mexicana, gracias a un cruce interdisciplinario entre el análisis cultural y la política.
RECONSTRUCTION OF FACTORY BUILDING WITH A STEEL FRAME
Authors:   National Aviation University, Holodnov O. , Tkachuk I. ,   "Ost-West Express" LLC
Published: August 2024

The reconstruction of the existing industrial building with a steel frame was carried out due to the need to convert the premises into a warehouse in order to increase the volume of the building for the storage of medical goods. The current state of the issue is summarized, research tasks are set, and the methodologyfor assessing the technical condition of the building's structures in use has been developed.
Search for neurophysiological mechanisms of configurational learning
Authors: Chernyshev B. V. , Ushakov V. L. , Poznyak L. A.
Published: August 2024

Configural learning is a form of associative learning in which the conditioned stimulus is a holistic set of stimulus elements rather than individual stimuli or their isolated properties. Successfully solving the task of such associative learning requires a holistic analysis of the entire configuration as a whole. The ability to analyze not only individual physical aspects of a stimulus or single objects in a visual scene, but also their holistic combinations, offers significant evolutionary advantages, as configurations often have substantially greater predictive power compared to individual stimulus elements or features. Moreover, the ability to holistically analyze combinations of stimulus field elements or features can be considered an initial, primitive manifestation of consciousness. In the present review, we consider the history of the development of the concept of configural learning, the main methodological avenues of investigation, and currently available neurophysiological data on the putative neural basis of this phenomenon. We find it most interesting to study the processes of configural learning in humans using modern neuroimaging methods, as they provide a glimpse into the holistic brain functioning. Finally, we consider the future tasks aimed to provide a more complete understanding of the neurophysiology of the configural learning phenomenon.
Mechanisms of adaptation of the hypothalamic-pituitary-adrenal axis in male mice under chronic social defeat stress
Authors: Sapronova А. А. , Ryabushkina Y. A. , Kisaretovа P. E. , Bondar N. P.
Published: August 2024

The hypothalamic-pituitary-adrenal axis (HPA) plays an important role in the mechanisms of adaptation to chronic stress. A model of chronic social defeat stress (CSDS), based on the experience of defeat in daily agonistic interactions, causes the development of a depressive-like state in mice, which is often accompanied by an increase in blood corticosterone levels. In this work, we assessed what changes occur in the central (hypothalamus) and peripheral (adrenal glands) parts of the HPA axis under the influence of chronic social stress, which can affect the regulation of corticosterone synthesis and its level in the blood. The experience of chronic social stress causes an increase in the relative weight of the adrenal glands, an increase in the expression level of Crh gene in the hypothalamus and the expression of the genes for the corticosterone synthesis enzymes Star, Cyp11a1, Cyp11b1 in the adrenal glands. At the same time, in the hypothalamus the expression of Fkbp5 and Nr3c1 decreases and the expression of Crhbp increases, and in the adrenal glands the expression of the Mc2r and Hsd11b1 genes decreases, which is ultimately aimed at reducing the amount of corticosterone secreted by the adrenal glands, and thus limiting the glucocorticoid response. Thus, chronic stress leads to an imbalance of the activating and stabilizing mechanisms of HPA axis regulation and a possible inadequate response to additional stress stimuli.
Determination of lithium concentration in formation water by NMR relaxometry method
Authors: Byzov I. V. , Zhakov S. V. , Mysik A. A. , Kunakkuzhin I. A.
Published: August 2024

A procedure has been proposed for determining the concentration of lithium in formation waters using NMR relaxometry. The method allows to determine quickly lithium content at concentrations of industrial interest. Experiments showed good agreement of the proposed method with the inductively coupled plasma (ICP) method.
Assesment risk factor for tuberculosis transmission among children: Case study in Medan
Authors: Saragih Izzah Dienillah , Tumanggor Winni Ramadhani Elistria , Chahaya Indra , Siregar Cholina Trisa
Published: August 2024

Tuberculosis (TB) is a contagious illness caused by Mycobacterium tuberculosis and can affect individuals of all age groups. According to the Global Tuberculosis Report in 2022, approximately 1.2 million children and adolescents under the age of 15 were diagnosed with TB. Additionally, a significant increase in TB incidence among children in Indonesia was observed, rising from 42,187 cases in 2021 to 100,726 new cases in 2022. Based on Riskesdas data from 2018, North Sumatra ranks second among provinces with the highest incidence of tuberculosis cases. The aim of this study was to identify the risk variables associated with the occurrence of pulmonary tuberculosis in children residing in Medan. An analytical observational study with a case-control study design was employed. The results indicated that TB cases were present in 21 out of 42 community health centers in Medan city. Participants included children aged 5-14 years and parents with incomes below the Minimum Wage. The majority of the participants had parents who smoked, were exposed to contact transmission, and lived in inadequate housing conditions. The findings also revealed that transmission through direct contact was the primary and most significant risk factor for TB among the children. The risk factors for tuberculosis transmission among children were identified as gender, number of persons living per room, and a history of contact with TB sufferers. It is recommended that efforts be made to prioritize contact tracing, community education, family intervention, and continuous surveillance to strengthen contact tracing programs.
Patient satisfaction with nursing care and information received from nurses
Authors: Lleshi Samir , Mustafa Besim
Published: August 2024

The satisfaction of patients receiving medical services has been found to depend on the type of hospital, with this correlative dimension influenced by various other factors impacting the relationship. The structure of these influencing factors varies according to the type and form of medical service provided. However, a crucial factor for patients is the provision of the highest quality and most timely medical services, which includes the qualifications of the medical staff. In recent years, health care satisfaction has gained importance due to changes in the health care system, advances in medicine, and the development of new technologies. Additionally, patient satisfaction is recognized as a measure of the efficiency and quality of the health care system, serving as a fundamental tool for improving health care standards. The importance of patient satisfaction lies in its ability to enhance the positive perception and relationship between patients and medical staff, contributing to the efficiency and effectiveness of medical services. The purpose of this research was to examine the level of patient satisfaction in nursing care and to collect information via questionnaires to address the research questions and hypotheses. A descriptive research design was employed, utilizing notes from previously developed questionnaires and primary data to analyze patient satisfaction. Parametric and nonparametric statistical tests were used in the research. It was found that demographic and other factors did not significantly affect the level of patient satisfaction. The results revealed no difference in satisfaction between older and younger patients. A possible explanation for these findings is the readiness of nurses to address patient needs, which may be influenced by higher education and practice levels. Additionally, patient satisfaction was shown to be influenced by other factors, such as the health environment of hospitals.
Identifikasi Karakteristik dan Pengetahuan Lokal Nelayan Ikan Terubuk di Pulau Bengkalis Provinsi Riau
Authors: Djunaidi Djunaidi , Kelana Perdana Putra , Pramesthy Tyas Dita , Nur Arkham Muhammad , Rangga Bayu Kusuma Haris
Published: August 2024

Fishermen play a crucial role in the 2016 national action plan for terubuk. Accordingly, conducting a study on fishermen is imperative. The primary objective of this research is to discern the characteristics and knowledge of local fishermen pertaining to terubuk. The employed method involved conducting interviews with 30 fishermen who specialize in catching terubuk. The collected data underwent descriptive quantitative analysis. The research findings revealed that all respondents were within the productive age range, and those engaged in supplementary occupations outnumbered the Bengkalis minimum salary. Local respondents exhibited a commendable level of knowledge, demonstrating an ability to articulate scientific concepts accurately, although utilizing diverse linguistic styles. In conclusion, this study posits that fishermen perceive the necessity of exploring alternative livelihoods that leverage their local knowledge. The expectation is that this approach can not only augment fishermen's income but also contribute to terubuk conservation endeavors.
Karakteristik Asap Cair dari Kulit Buah Nipah (Nypa fruticans) dan Potensinya Sebagai Antibakteri Staphylococcus aureus
Authors: Mardiyana  , Evila Purwanti Sri Rahayu Theresia , Prasetya Vicky
Published: August 2024

Skin of Nipah fruit (Nypa fruticans) contains cellulose, hemicellulose and lignin compounds, so it has the potential to be used as raw material for making liquid smoke. The urgency of this research is that until now the use of palm fruit skin to make liquid smoke is still very rare or non-existent. This research aims to characterize the contents of liquid smoke from Nipah fruit skin and determine its potential as an antibacterial against Staphylococcus aureus bacteria. The research stages were divided into 3 stages, namely the liquid smoke production stage, the liquid smoke characterization stage and its antibacterial potential, and the data processing stage. The data obtained was analyzed comparatively descriptively. The research results showed that the compounds contained in liquid smoke included total acids (as acetic acid), total phenolics and carbonyls. With the compounds contained and its acidic pH value, liquid smoke from Nipah fruit peel (Nypa fruticans) has very strong antibacterial capabilities at a concentration of 100%. Thus, this liquid smoke has the potential to be used as an antibacterial agent against Staphylococcus aureus bacteria
Assessing Oral Communication Skills of Students in Business Administration Department
Authors: ASTUTY Ani Dyah
Published: August 2024

This research article presents an assessment of the oral communication skills of students in the Business Administration Department. A questionnaire was used to measure 95 students' self-perceived ability in oral communication for various activities. The study aimed to identify areas of strengths and weaknesses in students' oral communication skills and highlight potential areas for improvement. The findings revealed that students rated themselves low in the category of "Providing training through discussions, workshops," suggesting a need for focused attention in this particular skill area. These results have implications for curriculum development and instructional strategies, emphasizing the importance of incorporating targeted training methods to enhance students' oral communication skills in the Business Administration program
Mastering Workplace English: A Book Review of 'English for Business Communication' by Mable Chan
Authors: MOFFATT Piangchan , UKE Waode Ade Sarasmita
Published: August 2024

Although business English books have been extensively published during the last two decades (Bhatia & Bremner, 2012; Emmerson, 2010; Sweeney, 2003; Talbot, 2009), this book, "English for Business Communication" by Mable Chan (2020), is a comprehensive textbook designed for students and professionals studying English for business or workplace communication. It covers both spoken and written English and incorporates up-to-date research in business communication. The book focuses on the realities of communication in the business world today, including the use of English in social media and the concept of communicative competence. It also includes analysis of email communication, informal English, and English for socialization. Additionally, the book explores persuasive messages and provides an e-resources website with authentic workplace genres and relevant research studies.
The Implementation of Hybrid Learning Approach in English for Business Communication in Indonesian Vocational Higher Education
Authors: MUSDARIAH Andi
Published: August 2024

This article investigates the implementation of hybrid learning in BusinessCommunication at the vocational education level. The study adopts a virtual casestudy approach utilizing digital narrative inquiry to collect data on teachers'strategies for hybrid learning aimed at enhancing students' businesscommunication performance. Findings reveal that one teacher successfullydeveloped a self-initiated hybrid learning model during explorations in this field.The teacher integrated traditional instruction with diverse online platforms likeMoodle, web-cloud video conferencing, Google Classroom, and social mediaplatforms such as Facebook and WhatsApp to teach English for businesscommunication. In contrast, other teachers demonstrated limited implementationof hybrid learning. Notably, the level of hybrid learning implementation wassignificantly linked to students' business English performance outcomes. Greaterutilization of hybrid learning strategies correlated with improved studentperformance in business communication. The research carries implications forpedagogy, underscoring the significance of employing diverse hybrid learningstrategies in English teaching.Â
Corpus Linguistics Today: A Qualitative Approach
Authors: MISNAWATI Misnawati , NUR Sahril , TAHIR Saidna Zulfikar Bin
Published: August 2024

Corpus linguistics, the study of language form and function using computerized corpora, involves collecting extensive electronic texts to analyze language usage. It serves various objectives: qualitative analysis, exploring nuances in language use, and quantitative analysis, identifying patterns in word usage and collocations. Corpus linguistics tracks language variation over time, aids language teaching, supports lexicography, and contributes to discourse analysis. Its evolution grew from the 1950s to the present day, marked by technological advancements and theoretical integration. The article underscores the significance of qualitative analysis in providing contextual insights into language use. The systematic creation of a corpus involves steps like text selection, data collection, preprocessing, annotation, and quality control. Various qualitative analysis techniques, from discourse analysis to lexical semantics, offer diverse perspectives for studying linguistic phenomena. This article provides a concise overview of corpus linguistics, its evolution, the importance of qualitative analysis, corpus creation, and qualitative analysis techniques.
A Comparative Study on the Impact of Technology-Enhanced Language Learning on ESL and EFL Students: A Systematic Review
Authors: UKE Waode Ade Sarasmita , NONI Nurdin , BASRI Muhammad
Published: August 2024

The goal of the study was to get a deeper understanding of how technology-enhanced language learning is utilized to teach and learn languages in higher education. This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. The review begins with a description of the identification process. The best articles published between 2000 and 2022 have been selected to demonstrate how to compare significant aspects and valuable strategies. These articles were selected in accordance with EFL and ESL students. The results are organized into three categories, with the following topics occurring most frequently in the reviewed publications. Researchers may apply task-based learning, communicative, flipped classroom, and other instructional strategies. The second section deals with research instruments. The questionnaire, interview, test, forum group discussion, and observation were utilized to collect data. In conclusion, researchers have compiled a list of publications to be analyzed based on their most current research queries.
An Investigation of Sociometric Status on Students’ Achievement in Indonesian EFL Speaking Class
Authors: SARLIN Sarlin , ABDULLAH Abdullah , BAKRI Fitriyani , HASBI Muhammad
Published: August 2024

The relationship among peers that occur in the teaching and learning process becomes essential to be investigated where it might influence students’ academic achievement. In depth, Sociometric Status is an indicator to categorize the relationship of individual among groups of friends whether he or she is liked or disliked by his or her peers. The purpose of this study is to investigate sociometric status on students’ achievement especially in the speaking skill. Thirty students at the twelfth grade of social science class are study consists of observation checklist, rating-scale measurement, and students speaking score. Observation checklist is used to observe students’ behaviors with their peers during the teaching process and rating scale measurement is given to students before conducted observation. In addition, students speaking score is collected through the result of students speaking test after doing observation. The result of this study indicates positive and negative influence of the sociometric status on the students’ achievement. This study is hoped to give beneficial contribution about how the sociometric status of the students affects their achievement in EFL speaking class. Therefore, teacher would be able to do appropriate treatment to help students overcome their psychological problems and also to make the good atmosphere among the students in the speaking class.
The Influence of Gadgets on EFL Student’s Desire to Learn: Transcending the Digital Realm
Authors: PUTRI Auliya Andira , ARHAM Muhammad
Published: August 2024

The widespread availability of mobile devices and the increasing integration of technology into language education have led to significant changes in the learning landscape. This study examines the impact of gadgets on students' desire to learn and identifies both positive and negative influences, thus providing access to a vast amount of information, facilitating interactive learning experiences, and enhancing motivation through gamification and personalization. Excessive gadget use can lead to distraction, hinder focus, and foster dependence on technology, potentially undermining students' intrinsic motivation and engagement. This systematic literature review aimed to explore the students’ use of gadgets in language education, including their benefits, drawbacks, and effective implementation strategies. As a result, the findings showed that gadgets had a positive influence on students' desire to learn by increasing their engagement and fostering a positive attitude towards their learning. Therefore, educators should adopt a balanced approach that incorporates technology thoughtfully into the learning process. This includes establishing clear guidelines for gadget usage, promoting mindful technology engagement, and fostering a culture of critical thinking and digital literacy.
Hubungan Pengetahuan Ibu, Pola Asuh dan Sanitasi Lingkungan dengan Kejadian Wasting pada Balita
Authors: Hawazen Hawazen , Nurhamidi  , Anwar Rosihan
Published: August 2024

Balita adalah orang yang rentan terkena masalah gizi salah satunya adalah wasting karena pada usia tersebut mereka sudah mulai mengenal dan mengikuti pola makan orang dewasa. Wasting merupakan masalah gizi yang terjadi pada balita di usia 0-59 bulan. Balita yang mengalami ini umumnya memiliki berat badan yang tidak sesuai dengan tinggi badannya. Wasting juga di sebabkan oleh beberapa faktor yang sangat komplek mulai dari rumah tangga, lingkungan, pengaruh masyarakat, sosial ekonomi budaya, bahkan praktik pemberian makan anak serta adanya penyakit infeksi. Penelitian ini bertujuan untuk mengetahui hubungan antara pengetahuan, pola asuh ibu dan sanitasi lingkungan dengan kejadian wasting pada balita di Wilayah Kerja Puskemas Martapura Barat Kabupaten Banjar. Metode penelitian ini menggunakan observasional analitik dengan rancangan cross sectional. Populasi adalah balita usia 0-59 bulan dengan sampel penelitian 101 orang yang diambil menggunakan teknik purposive sampling. Variabel penelitian ini yaitu pengetahuan ibu, pola asuh, sanitasi lingkungan dan kejadian wasting. Pengambilan data dengan cara kuesioner dan wawancara serta analisis data menggunakan uji Chi-Square. Hasil penelitian ini menunjukkan 43,6% balita mengalami wasting, 58,4% pengetahuan ibu kurang, 60,4% pola asuh cukup dan 50,5% sanitasi lingkungan kurang baik. Penelitian menunjukkan ada hubungan pengetahuan ibu (r<0,000), pola asuh (r<0,008), dan sanitasi lingkungan (r<0,000) dengan kejadian wasting. Bagi ibu atau orang tua harus memperhatikan pemenuhan gizi balita, memanfaatkan pengetahuan yang ada untuk dapat mengolah dan memilih makanan yang bergizi dan berkualitas baik serta menentukan jenis makanan dan jumlah makanan dan jadwal makan sesuai dengan kebutuhan anak seusianya, yang terpenting pemenuhan nutrisi dengan prinsip gizi seimbang dan beragam.
Neuro-symbolic Predicate Invention: Learning relational concepts from visual scenes
Authors: Sha Jingyuan , Shindo Hikaru , Kersting Kristian , Dhami Devendra Singh
Published: August 2024

The predicates used for Inductive Logic Programming (ILP) systems are usually elusive and need to be hand-crafted in advance, which limits the generalization of the system when learning new rules without sufficient background knowledge. Predicate Invention (PI) for ILP is the problem of discovering new concepts that describe hidden relationships in the domain. PI can mitigate the generalization problem for ILP by inferring new concepts, giving the system a better vocabulary to compose logic rules. Although there are several PI approaches for symbolic ILP systems, PI for Neuro-Symbolic-ILP (NeSy-ILP) systems that can handle 3D visual inputs to learn logical rules using differentiable reasoning is still unaddressed. To this end, we propose a neuro-symbolic approach, NeSy-π, to invent predicates from visual scenes for NeSy-ILP systems based on clustering and extension of relational concepts, where π denotes the abbrivation of Predicate Invention. NeSy-π processes visual scenes as input using deep neural networks for the visual perception and invents new concepts that support the task of classifying complex visual scenes. The invented concepts can be used by any NeSy-ILP system instead of hand-crafted background knowledge. Our experiments show that the NeSy-π is capable of inventing high-level concepts and solving complex visual logic patterns efficiently and accurately in the absence of explicit background knowledge. Moreover, the invented concepts are explainable and interpretable, while also providing competitive results with state-of-the-art NeSy-ILP systems. (github: https://github.com/ml-research/NeSy-PI)
On the multiple roles of ontologies in explanations for neuro-symbolic AI
Authors: Confalonieri Roberto , Guizzardi Giancarlo
Published: August 2024

There has been a renewed interest in symbolic AI in recent years. Symbolic AI is indeed one of the key enabling technologies for the development of neuro-symbolic AI systems, as it can mitigate the limited capabilities of black box deep learning models to perform reasoning and provide support for explanations. This paper discusses the different roles that explicit knowledge, in particular ontologies, can play in drawing intelligible explanations in neuro-symbolic AI. We consider three main perspectives in which ontologies can contribute significantly, namely reference modelling, common-sense reasoning, and knowledge refinement and complexity management. We overview some of the existing approaches in the literature, and we position them according to these three proposed perspectives. The paper concludes by discussing some open challenges related to the adoption of ontologies in explanations.
Physicians’ Experiences of EHR Technical Quality: Results from Four Large Cross-Sectional Surveys in 2010–2021
Authors: Lääveri Tinja , Viitanen Johanna , Reponen Jarmo , Renko Jari
Published: August 2024

Unexpected downtime and long response times of electronic health record (EHR) systems not only impact user satisfaction and clinicians’ work efficiency but also bring about potential harm for patients. Despite improvements in the performance of EHR systems’ architecture, hardware, and networks, technical challenges continue to cause problems. We explored the end-user experiences of EHR technical functionality and quality from four large national cross-sectional surveys conducted among Finnish physicians in 2010–21. The results were analyzed by healthcare sector/specialty groups. In most groups, the experiences of stability and reaction speed became worse in 2010–17, which is readily explained by the implementation of the national patient data repository services, but improvements were seen in 2021, suggesting that EHR vendors have solved at least some of the slowness problems. The proportion of physicians reporting having experienced faulty system function with potential or actualized harm for the patient had decreased in operative and medical specialties and in the private sector but remained stable in other groups. Our findings underline the importance of continuing to develop technical qualities – including the implementations of national integrations.
Exploring User Views on Telemedicine to Support Cancer Patients: Insights from Focus Group Discussions in the Context of the eCAN Joint Action
Authors: Farmaki Anastasia , Schmitt Tugce , Natsiavas Pantelis
Published: August 2024

This paper provides insights into user perspectives on telemedicine for cancer based on Focus Group Discussions (FGDs) within the eCAN Joint Action. Two FGDs centered on the eCAN mobile app and the eCAN dashboard, aiming to confirm user acceptance and understand cancer patients’ and healthcare professionals’ views. The findings highlight the importance of personalized deployment of telemedicine technologies to meet the specific needs of end users.
The Tromsø Study: Lessons Learnt About Searching for Information About Health and Illness
Authors: Wynn Rolf , Ellingsen Gunnar , Garcia Fernandez Lorena , Traver Vicente , Bellika Gustav , Oyeyemi Sunday O. , Gabarron Elia
Published: August 2024

Introduction: Norway has a high use of e-health. Methods: This paper summarizes and discusses the published data from the Tromsø 7 Study, conducted between 2015 and 2016, focusing on e-health utilization in the Norwegian population aged 40 and above. Results: More than half of the participants reported using the Internet for health purposes. The main channels for obtaining information were search engines, apps, social media platforms, and online videos. The respondents frequently acted upon the information obtained online, and online health information influenced decisions regarding healthcare utilization and treatment management. Most respondents indicated a positive reaction to the information found online. Conclusions: The Tromsø 7 Study highlights the widespread utilization of e-health in Norway. The study also emphasizes the significant impact of e-health on individuals’ decision-making processes related to their health. The findings suggest that the use of e-health overall does not replace the use of traditional health services, but rather functions as a supplement. Most respondents report positive reactions to online health information, highlighting the importance and relevance of e-health in modern healthcare practices.
Usability Evaluation of a Web-Based Remote Patient Monitoring Application: An Ongoing Study
Authors: Secher Pernille H. , Egmose Julie , Hejlesen Ole , Hangaard Stine
Published: August 2024

This study aims to discover problems and user experiences in a new released version of Sleepiz web application using heuristic evaluation and eye-tracking retrospective think-aloud performed by domain experts and end users. The web application is designed to support healthcare professionals in decision-making and monitoring of elderly people diagnosed with chronic respiratory diseases. Identification of usability problems and user experiences might contribute to improve the platform and will be reported to the developers.
Factors Influencing the Strategic Governance of EHR Interoperability: A Rapid Literature Review
Authors: Chiba Fuko , Nowak Alessia , Frey Nicolas , Klopfenstein Sophie , Meyer-Eschenbach Falk , Poncette Akira-Sebastian
Published: August 2024

While the importance of Electronic Health Records (EHR) interoperability is widely recognised in the healthcare digitalisation context, its optimal governance structure remains controversial, requiring further research. Through the rapid literature review of 32 articles retrieved from PubMed and EBSCO, 47 distinct factors under ten categories were established. The three most cited factors in the reviewed 32 articles were “Robust inter-institutional connections, trust, and the technologies to ensure security”, “Legal adaptations to the evolving digitalisation needs”, and “Standardisation of terminologies and codes, and harmonised data structure”. This review contributes preliminary results for the ongoing research to optimise EHR interoperability governance.
Digital Health Empowerment in Surgery: Exploring Total Hip Arthroplasty as a Model for Transformation
Authors: Hickmann Emily , Weimann Thure Georg , Richter Peggy , Hoehne Attila , Burwitz Martin , Bornholdt Malte , Lee Hosun , Schlieter Hannes
Published: August 2024

In the realm of modern healthcare, digital health solutions are poised to transform patient care, particularly in surgical interventions such as Total Hip Arthroplasty. Through a scoping review of 40 studies, this paper identifies six categories of digital interventions tailored for pre- and post-operative care in THA, spanning (Tele-)Rehabilitation, (Tele-)Monitoring and -Communication, Mobile Applications and Patient Portals, Digital Patient Assessment and Outcome Measurement, as well as Biomechanics and Robotics. These solutions, ranging from AI-driven communication tools to weight-shifting robot control systems, promise a more patient-centered, efficient, and accessible healthcare model. The paper concludes by advocating for continued exploration and development of digital health solutions to improve surgical outcomes and patient experiences across various medical contexts.
Advancing Healthcare Through Interoperability: Implementing Scalable Solutions for Patient Data Integration
Authors: Gour Shramika , Peake Ashley , Tong Chao , Churm James , Ahmad Bilal , Pournik Omid , Arvanitis Theodoros N.
Published: August 2024

Healthcare faces significant challenges in exchanging and utilizing health information across diverse providers, necessitating innovative solutions for improved interoperability. This study presents a comprehensive exploration of scalable technical and semantic solutions for patient care integration, emphasizing the implementation of these solutions within the framework of the Fast Healthcare Interoperability Resources (FHIR) standard. Our approach revolves around the development and deployment of Technical Interoperability Suite (TIS) and Semantic Interoperability Suite (SIS) technology solutions to disparate health information systems, predominantly Electronic Health Records (EHRs) into a unified Patient Care Platform, fostering comprehensive data exchange and utilization. The integration process involves importing data from various EHR systems and transforming imported patient data into FHIR-standardized formats. The provided solution supports various functionalities, including automatic and manual importation of patient data, through standard computer-readable templates. The integration of TIS and SIS solutions is underpinned by a robust technological framework, incorporating technologies such as Typescript, Deno, and document-oriented databases such as MongoDB. The effectiveness of our interoperability solutions was validated through deployment in multinational EU projects: ADLIFE and CAREPATH. The scalability and generalizability of our approach underscore its potential for diverse healthcare settings.
Digital Health in Brazil: Trends and Opportunities
Authors: Portillho Luciana , Marin Heimar F. , Senne Fabio , Barbosa Alexandre
Published: August 2024

The aim of this paper is to present the evolution of Digital Health (DH) in Brazil, in relation to the adoption of DH as a basis for the development of public policies, with a focus on improving the delivery of health care to patients and expanding its coverage. Data from the ICT in Health survey from the Regional Centre for Studies on the Development of the Information Society (Cetic.br) were analysed. The main challenges identified are related to gaps in patient information, which requires interaction between different facilities and to more complex functionalities related to guidelines and guidance in patient care.
Standardized Reasons for Consultations on a French Telemedicine Platform
Authors: Melot Bénédicte , Drouet Florian , Gérard Céline , Mahé Bérénice , Cousin Samuel , Salomon Julie , Grosjean Julien , Duclos Catherine
Published: August 2024

Thirteen standardized reasons for e-visits were implemented in March 2024 on a French telemedicine platform to improve the analysis of needs in telemedicine, educate patients on what is possible in e-visit and adapt the offer. Patients could select 1 to 3 reasons for consultations among a list of 13 reasons. Our aim was to evaluate their impact on use of e-visits. The main reasons for consultations in teleconsultations were more linked to acute care, specifically involving a large majority of upper respiratory tract infections, back pain, and urinary tract infections. They were mostly concordant with the physician’s conclusion and they may have simplified the preparation of the e-visits.
Balancing Acts: Tackling Data Imbalance in Machine Learning for Predicting Myocardial Infarction in Type 2 Diabetes
Authors: Ozturk Berk , Lawton Tom , Smith Stephen , Habli Ibrahim
Published: August 2024

Type 2 Diabetes (T2D) is a prevalent lifelong health condition. It is predicted that over 500 million adults will be diagnosed with T2D by 2040. T2D can develop at any age, and if it progresses, it may cause serious comorbidities. One of the most critical T2D-related comorbidities is Myocardial Infarction (MI), known as heart attack. MI is a life-threatening medical emergency, and it is important to predict it and intervene in a timely manner. The use of Machine Learning (ML) for clinical prediction is gaining pace, but the class imbalance in predictive models is a key challenge for establishing a trustworthy deployment of the technology. This may lead to bias and overfitting in the ML models, and it may cause misleading interpretations of the ML outputs. In our study, we showed how systematic use of Class Imbalance Handling (CIH) techniques may improve the performance of the ML models. We used the Connected Bradford dataset, consisting of over one million real-world health records. Three commonly used CIH techniques, Oversampling, Undersampling, and Class Weighting (CW) have been used for Naive Bayes (NB), Neural Network (NN), Random Forest (RF), Support Vector Machine (SVM), and Ensemble models. We report that CW overperforms among the other techniques with the highest Accuracy and F1 values of 0.9948 and 0.9556, respectively. Applying the most appropriate CIH techniques for the ML models using real-world healthcare data provides promising results for helping to reduce the risk of MI in patients with T2D.
Bridging Gaps with Generative AI: Enhancing Hypertension Monitoring Through Patient and Provider Insights
Authors: Andreadis Katerina , Rodriguez Danissa V. , Zakreuskaya Anastasiya , Chen Ji , Gonzalez Javier , Mann Devin
Published: August 2024

This study introduces a Generative Artificial Intelligence (GenAI) assistant designed to address key challenges in Remote Patient Monitoring (RPM) for hypertension. After a comprehensive needs assessment from clinicians and patients, we identified pivotal issues in RPM data management and patient engagement. The GenAI RPM assistant integrates a patient-facing chatbot, clinician-facing smart summaries, and automated draft portal messages to enhance communication and streamline data review. Validated through six rounds of testing and evaluations by ten participants, the initial prototype was positively received, highlighting the importance of personalized interactions. Our findings demonstrate GenAI’s potential to improve RPM by optimizing data management and enhancing patient-provider communication.
Large Language Models in Nursing Education: State-of-the-Art
Authors: Rodrigues Daniel , Cruz-Correia Ricardo
Published: August 2024

This study explores the integration of Large Language Models (LLMs) into nursing education, highlighting a paradigm shift towards interactive learning environments. We aimed to analyze the literature to identify how large language models are being implemented in nursing education, as well as key opportunities and limitations that need to be addressed. English records published since 2022 were retrieved from 4 databases including LLMs in nursing education. A total of 19 records were eligible. As LLMs advanced natural language processing capabilities enable interactive learning experiences, nursing educators are presented with unique opportunities to enhance curriculum delivery, foster critical thinking, and simulate complex clinical scenarios. Through a comprehensive analysis of current applications, limitations and future research, this paper navigates the complexities of adopting LLMs (eg ChatGPT) in nursing education. This paper concludes with a call for action to advance the integration of AI in nursing, enhancing educational outcomes while ensuring ethical, effective use.
Integrated and Interoperable Platform for Detecting Masses on Mammograms
Authors: Chatzopoulos Edouard , Jodogne Sébastien
Published: August 2024

The screening and diagnosis of breast cancer is a major public health issue. Although deep learning models are proving highly effective in breast imaging, these models are not yet readily accessible to a wide audience. In order to promote the widespread dissemination of such models, this article introduces a free and open-source, integrated platform for the automated detection of masses on mammograms. A state-of-the-art RetinaNet model is trained on this task and the results of the inference are encoded using the DICOM-SR interoperable format. These contributions present a significant step towards overcoming the accessibility gap in deep learning for breast imaging.