bluuebunny/crossref_metadata_2025 huggingface dataset:
Schorzenia gałki ocznej jako pierwszy objaw lub pierwsze ujawnienie się choroby COVID-19: przegląd literatury
Authors: Ulaszewska Katarzyna , Chamernik Alan , Różycka Katarzyna , Bakalarski Krystian , Różycka Małgorzata , Nesterowicz Piotr , Różycki Radosław
Published: November 2024

Celem niniejszego przeglądu jest analiza dostępnej literatury naukowej dotyczącej wpływu COVID-19 na zdrowie oczu. Przeprowadzono systematyczny przegląd literatury z wykorzystaniem medycznych baz danych. Skoncentrowano się na publikacjach dotyczących okulistycznych przejawów COVID-19, analizując raportowane objawy i mechanizmy patofizjologiczne. Analiza literatury wykazała, że COVID-19 może przybierać postać różnych schorzeń oczu, takich jak zapalenie spojówek, keratopatia, zapalenie błony naczyniowej oka (uveitis), retinopatia oraz neuropatia nerwu wzrokowego. Ponadto opisano przypadki związane z mikroangiopatią i zakrzepicą naczyń siatkówki, które mogą prowadzić do trwałej utraty wzroku. Wyniki te sugerują, że SARS-CoV-2 może bezpośrednio lub pośrednio wpływać na różne struktury narządu wzroku przez mechanizmy zapalne i zakrzepowe.
Redefining educational paradigms: Integrating generative AI into society 5.0 for sustainable learning outcomes
Authors: Baskara FX. Risang , Vasudevan Asokan , Sain Zohaib Hassan , Tee Mcxin , Arumugam Vasumathi , Parahakaran Suma , Balakrishnan Rajani
Published: November 2024

The digital era has ushered in significant advancements in Generative Artificial Intelligence (GAI), particularly through Generative Models and Large Language Models (LLMs) like ChatGPT, revolutionizing educational paradigms. This research, set against the backdrop of Society 5.0 and aimed at sustainable educational practices, utilizes qualitative analysis to explore the impact of Generative AI in various learning environments. It highlights the potential of LLMs to offer personalized learning experiences, democratize education, and enhance global educational outcomes. The study finds that Generative AI revitalizes learning methodologies and supports educational systems’ sustainability by catering to diverse learning needs and breaking down access barriers. In conclusion, the paper discusses the future educational strategies influenced by Generative AI, emphasizing the need for alignment with Society 5.0’s principles to foster adaptable and sustainable educational inclusion.
Technosociopreneurship as a productivity—Increasing strategy based on community potential
Authors: Amaliyah Amaliyah , Abdullah Siti Intan Nurdiana Wong , Deli Mazzlida Mat , Suryawati Rindah Febriana , Nangkula Utaberta
Published: November 2024

Madura Island, with more than half of its population, are women encountering socio-economic problems, which eventually create high poverty and unemployment rates. However, the Madurese are also well-known for their resiliency and entrepreneurial characteristics. The effort to solve the issues by empowering the community, women in particular, has been taken seriously primarily by entrepreneurs who were born and raised in the community. Therefore, this research aims to gain insight into the current Madurese entrepreneur’s business pattern and their social concerns in order to propose a strategy to increase productivity as an effort to empower women’s communities. The methodology is qualitative research, which collects data using semi-structured interviews with representatives of the Madurese entrepreneurs in four areas of Madura Island. Their responses are then transcripted and coded for content analysis based on the designed themes. The result shows that they recognise and practise the social entrepreneurship (SE) pattern, although they do not understand the term. Subsequently, the technological application for business operations in general is still limited to the usage of digital technology (DT) for marketing and transaction activities, which helps increase business performance or productivity. Hence, the initiation of technosociopreneurship as a strategy to further develop SE activities with the hope of increasing productivity in empowering women’s communities is proposed. Further research development is advised using quantitative methods for generalisable findings.
Future of Jordanian traditional media in light of AI: A qualitative study
Authors: Al-Kadi Amjad Bader
Published: November 2024

The research aims to investigate the prospective implications of Artificial Intelligence (AI) on traditional media, and to elucidate the conceptualization of AI within the discourse of media professionals, governmental and private media stakeholders in Jordan, alongside media scholars and IT experts. Employing the focus group method, a specialized interview tool distinguished by its purpose, design, and procedures, two distinct cohorts were engaged: media practitioners and officials on one hand, and academics and experts on the other. The investigation revealed the absence of a universally agreed upon terminology concerning AI, attributable to its nascent nature and rapid evolution. Notably, AI, leveraging its diverse and highly proficient tools, demonstrates significant potential for transformative impacts across various facets of the media landscape. These encompass the facilitation of exceptional content production, the empowerment of journalists to express their creative capacities, and substantial reductions in time, labor, and procedural overheads in media product development. Concurrently, the integration of AI within media environments is anticipated to pose formidable challenges to existing institutional frameworks. Additionally, the imperative of curriculum development in academic institutions, both public and private, is underscored to acquaint students with AI methodologies.
Antecedents of tourist loyalty in China’s Kangyang tourism: The influence of destination image, service quality, tourist satisfaction, and affective commitment
Authors: Li Qiang , Phakdeephirot Nutteera , Tan Chai Ching
Published: November 2024

Background: Kangyang tourism, a wellness tourism niche in China, integrates health preservation with tourism through natural and cultural resources. Despite a growing interest in Kangyang tourism, the factors driving tourist loyalty in this sector are underexplored. Methods: Using a sample of 413 tourists, this study employed Covariance-Based Structural Equation Modeling (CB-SEM) to examine the influence of destination image, service quality, tourist satisfaction, and affective commitment on tourist loyalty. Results: The findings reveal that destination image and service quality positively affect tourist satisfaction, affective commitment, and loyalty. Tourist satisfaction and affective commitment are identified as critical drivers of tourist loyalty. Notably, affective commitment plays a stronger role in fostering loyalty compared to satisfaction. Conclusion: These results highlight the importance of a positive destination image and high service quality in enhancing tourist loyalty through increased emotional and psychological attachment. The findings inform strategies for stakeholders to improve Kangyang tourism’s growth by focusing on emotionally engaging experiences and service excellence.
Incidence of unemployment and poverty on migration flows in the South-North international corridor (1990–2022). An econometric panel data approach
Authors: Navarro-Chávez César Lenin
Published: November 2024

The aim of this research is to determine the incidence of socioeconomic variables in migration flows from the main countries of origin that form part of the international South-North migration corridor, such as Mexico, China, India, and the Philippines, during the 1990–2022 period. The independent variables considered are GDP per capita, unemployment, poverty, higher education, and public health, while the dependent variable is migration flows. An econometric panel data model is implemented. The tests conducted indicate that all variables have an integration order of I (1) and exhibit long-term equilibrium. The econometric models used, Dynamic Ordinary Least Squares (DOLS) and Fully Modified Ordinary Least Squares (FMOLS), reveal that unemployment and poverty had the strongest influence on migration flows. In both models, within this international migration corridor, GDP per capita, higher education, and health follow in order of importance.
Computational analysis of the Logistics Supply Chain from a global trade perspective
Authors: Althaqafi Torky
Published: November 2024

Global trade is based on coordinated factors, that means labor and products are moved from their point of origin to the point of use. Strategies have a significant impact on global trade because they enable the effective development of goods across international borders. The decision making is an important task for the development of Logistics Supply Chain (LSC) infrastructure and process. Decisions on supplier selection, production schedule, transportation routes, inventory levels, pricing strategies, and other issues need to be made. These decisions may have a big influence on customer service, profitability, operational efficiency, and overall competitiveness. The Artificial Intelligence (AI) approach of Fuzzy Preference Ranking Organization Method for Enrichment Evaluation (Fuzzy-Promethee-2) is used to assess the priority selection of the factors associated with the LSC and evaluate the importance in global trade. The role of AI is very useful compare to statistical analysis in terms of decision making. The computational analysis placed promotion of exports as the most important priority out of five selected attributes in LSC, with infrastructure development. The result suggests that LSC depends heavily on export promotion as the most significant attribute. Infrastructural development also appeared another factor influencing LSC. The foreign investment was ranked the lowest. The evaluated results are useful for the policy makers, supply chain managers and the logistics professionals associated with the supply chain management.
Feasibility of ultrasound-guided cervical intervertebral disc injection to aid in intraoperative site identification in dog cadavers
Authors: Ficheroulle Jérémie , Picavet Pierre P. , Gommeren Kris , Monseur Justine , Bolen Géraldine E.
Published: November 2024

OBJECTIVE

To study the feasibility of ultrasound-guided intervertebral disc (IVD) injection of contrast medium and methylene blue to aid in intraoperative identification of cervical IVD spaces in dogs.

METHODS

This was a single-center experimental cadaver study using randomly chosen skeletally mature dog cadavers from January 2, 2023, to March 23, 2023. For each cadaver, 1 cervical IVD was randomly selected. The ventral cervical region was ultrasonographically examined, pushing the trachea leftwards. A 50/50 contrast medium (iohexol, 300 mgI/mL) and methylene blue mixture was injected under ultrasound guidance in the IVD and ventral soft tissues. The x-rays and CT scans were performed before and after injection. Each cadaver was dissected using a ventral slot procedure. The cadavers and IVD characteristics, the success rate in ultrasonographically identifying the correct IVD space, time to injection, most caudal IVD space feasibly injectable, and semiquantitative imaging and surgical scores were recorded.

RESULTS

20 canine cadavers were used. The IVD injections were successfully performed in the correct IVD space in all cadavers. The median time to injection was 3.95 minutes (Q1 to Q3, 3.22 to 5.88 minutes). The contrast medium was clearly visible on at least 1 radiographic projection in all but 1 case and on the CT in all cases. During surgical dissection, the dye was clearly visible in all but 1 case. The dogs’ weight was significantly different between most caudal IVD spaces feasibly injectable.

CONCLUSIONS

Ultrasonographical cervical IVD space identification and mixture injection are feasible and might help intraoperative cervical IVD space identification in dogs.

CLINICAL RELEVANCE

This technique could be used presurgically in patients with cervical IVD diseases.
Impact of production practices and sanitary management on the prevalence of Neospora caninum and bluetongue virus in Creole goats from the tropical dry forest of Utcubamba, Peru
Authors: Gutiérrez Lucinda Tafur , Alva Gudelio , Godoy David J. , Frías Hugo , Arista Miguel A. , Bardales William , Encina Ricardo , Portocarrero Segundo M. , Saucedo José A. , Cruz Juancarlos A. , Murga Nilton L.
Published: November 2024

OBJECTIVE

This study aimed to report the impact of production practices and sanitary management on the prevalence of Neospora caninum (N caninum) and bluetongue virus (BTV) in Creole goats from the tropical dry forest of Utcubamba, Peru.

METHODS

354 blood samples were obtained from male and female goats of diverse ages reared under an extensive productive system. The diagnosis of N caninum and BTV was conducted through a commercial ELISA kit (iD.vet) with readings taken on a Bio-Rad iMark microplate reader at 450 nm. Additionally, a survey was conducted with 18 goat producers to categorize them based on social, technical (production, health, reproduction, nutrition, and infrastructure), environmental, and economic factors.

RESULTS

The overall seroprevalence of N caninum and BTV in goats was 6.21% and 7.06%, respectively, Notably, group II farmers had the highest prevalence rates at 7.69% for N caninum and 23.08% for BTV. This group comprises producers with fewer than 21 goats, while group III includes 14.3% of producers with over 60 goats and better infrastructure.

CONCLUSIONS

This study confirms the presence of N caninum and BTV in goats of Utcubamba, Peru. Group II displayed the highest prevalence rates, suggesting that herd size and management infrastructure influence disease prevalence.

CLINICAL RELEVANCE

In the tropical dry forest of Utcubamba, inadequate management of N caninum carrier agents (eg, nondewormed dogs) heightens transmission risk, while the tropical climate supports BTV vectors. Effective diagnosis and health management strategies, including vector control and biosecurity practices, are crucial for ongoing herd health monitoring.
Development of LaTeX Book Template for Submitting Assignments to Support Paperless Movement
Authors: Saefan* Joko , Rini Nur Widya , Marianti Aditya , Rahayuningsih Margareta
Published: November 2024

Paperless movement is a conservation effort. This refers to transitioning from conventional paper-based processes to replacing them with digital alternatives. The paperless movement has been globally implemented in various sectors, ranging from the corporate world to the educational sector. This movement is still little applied as a student's monumental work. This research aims to develop a book template using LaTeX for submitting assignments in the Computational Physics course. This template is designed to support the paperless movement as a conservation effort. We designed and developed a platform based on available LaTeX templates and then adapted it to the needs of computational physics courses. Instructions for using this template were also created and disseminated in learning classes. Next, we apply this template as a medium for collecting assignments and don't forget to ask students for responses regarding the use of this template. The outcome of the research is a book template that has already been used in the class. The students were very enthusiastic about learning the LaTeX program and they have been using it for document writing, especially related to mathematical equations. We hope that the development of this book template that we have carried out can become one of the conservation efforts in learning classes.
Analysis of Total Anthocyanin Levels in Hibiscus (Hibiscus rosa-sinensis L.) Preparations by Differential pH Method Using UV-Vis Spectrophotometry
Authors: Suryani* Elsa , Muna Laili Nailul
Published: November 2024

Red hibiscus is a plant that contains anthocyanins and flavonoids which act as natural dyes and preservatives. Anthocyanins are attractive coloring substances and are not harmful to health, therefore they are widely used in the food and pharmaceutical industries. The maximum allowable daily intake of anthocyanins is 0.25 mg/kg body weight. Excessive intake of anthocyanins can cause poisoning. This study aims to determine the total anthocyanin content in hibiscus extract. The method used to analyze anthocyanin levels is the differential pH method using UV-Vis spectrophotometry. The main advantage of this method is that it provides a simple way to measure very small amounts of substances. The results of the research explained that the qualitative analysis showed that the sample was positive for containing anthocyanins because the acid reagent HCl remained red, this was due to the formation of flavilium. The sample with the base reagent (NaOH) changes color to green due to the formation of a carbinol pseudobase structure. Quantitative analysis of anthocyanins showed that in 10.8876 grams of extract there was an anthocyanin content of 72.4731 mg/L at a dilution of 10 ml. The high level of total anthocyanin in the thick hibiscus extract preparation can be influenced by several things such as the temperature during the drying process, the length of maceration time, the concentration of the solvent used, and the high intensity of light
COSTS OF MAINTAINING ECOLOGICAL CORRIDORS FOR WILDLIFE AFFECTED BY A LARGE INFRASTRUCTURE PROJECT: CASE STUDY ON THE CRAIOVA – TÂRGU JIU MOTORWAY
Authors:   Bucharest University of Economic Studies, Romania, EPC Consultanţă de mediu, BORLEA Silvia
Published: November 2024

One of the main types of impacts generated by transport infrastructure is the fragmentation of habitats and ecological corridors. This impact can be addressed through the proposal of certain impact mitigation measures, for improving the proposed projects. This paper examines the costs associated with maintaining ecological corridors for wildlife affected by a large infrastructure project, specifically the Craiova – Târgu Jiu motorway in Romania. The analysis comprises a case study on the permeability characteristics of the proposed motorway, considering specific parameters. The findings highlight the sectors of the project where permeability criteria are not met, and where wildlife is unlikely to be able to pass freely from one side of the motorway to the other. The paper proposes several types of potential impact mitigation measures, aimed at addressing this impact, and provides a financial estimation for the implementation of these measures. The study emphasizes the significance of integrating environmental measures into infrastructure development to minimize the impact on wildlife and ensure the long-term viability of ecosystems.
ANALYSIS OF FISH FOREIGN TRADE IN EUROPEAN UNION
Authors:   Bucharest University of Economic Studies, Romania, Mocanu Steliana , Tudorache Claudiu ,   Bucharest University of Economic Studies, Romania
Published: November 2024

Given the fact that at the level of European Union, in 2022, 5.317 thousand tons of fish and seafood were produced, result that this sector is one very important in European Union and deserve to be investigated. The present paper aims to portray the current situation regarding the fish foreign trade in European Union (between 2003 and 2022). For this purpose, a descriptive research method was used to present the picture of imports, exports and trade balance of fish among all countries of the European Union. Research findings have highlighted that 7 out of the total number of countries members of European Union present a positive trade balance of fish in 2022. For a better understanding of this market, a bibliometric analysis was made using VOSviewer software, based on Web of Science database, query that revealed 12.297 scientific documents that contains the term "fish market". We consider that our paper is useful and brings an important status about the situation of fish foreign trade in European Union especially because it continues the investigations on this field, taking into account that, querying Web of Science database only 62 results that include the term “analysis of fish foreign trade” were found.
RISK MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE
Authors:   Bucharest University of Economic Studies, Romania, ISTUDOR Nicolae , IGNAT Raluca ,   Bucharest University of Economic Studies, Romania, DEACONU Elena-Mădălina ,   Bucharest University of Economic Studies, Romania, CONSTANTIN Marius ,   Bucharest University of Economic Studies, Romania
Published: November 2024

In recent years, the agricultural industry has experienced significant advancements through the integration of artificial intelligence (AI). The utilization of artificial neural networks and deep learning algorithms, in conjunction with Internet of Things devices and data analysis methodologies, holds significant potential for revolutionizing risk management approaches and practices in the field of agriculture. As a result, there has been a significant rise in scientific inquiries and published literature exploring the intersection of risk management and artificial intelligence in the agriculture sector. This academic paper examines the potential of AI in the field of risk management in the agriculture industry, as well as its implications for improving productivity, profitability, and sustainability. The utilization of AI technologies has led to significant progress in the domains of precision agriculture, resource management, and decision-making protocols. The findings of this study suggest that the incorporation of AI into risk management strategies in the agricultural industry holds promise for improving resilience and adaptability. Nevertheless, the application of AI holds the potential to improve agricultural practices, hence increasing output and promoting the development of sustainable and efficient food production systems. This article provides a comprehensive overview of the potential applications AI in risk management within the agriculture industry and examines the implications it holds for the future of the sector.
ANALYZING THE DECADE-LONG EVOLUTION OF THE WHEAT MARKET: A COMPREHENSIVE STUDY ON PRICE TRENDS, PRODUCTION, TRADE DYNAMICS, AND FOOD CONSUMPTION (2013-2022) IN ROMANIA
Authors:   Bucharest University of Economic Studies, Romania, BĂJAN Mihai-Radu , TOMA Cosmin-Mihai ,   Bucharest University of Economic Studies, Romania
Published: November 2024

The article offers a comprehensive examination of Romania's wheat market over the past decade, spanning from 2013 to 2022. We delve into key aspects such as price evolution, total wheat production, production on a per-hectare basis, import and export ratios, and average net food consumption per capita. This study provides crucial insights into the dynamics shaping Romania's wheat market and their implications for local food security and economic stability. Through this detailed examination, we aim to shed light on the intricate interplay of factors influencing the world's wheat market and its implications for global food security and economic stability.
MARKET RESEARCH OF MILK AND DAIRY PRODUCTS IN ROMANIA
Authors:   Bucharest University of Economic Studies, Romania, Center for Study and Research for AgroForestry Biodiversity ", GROSU (SIMION) Petruța-Simona ,   Acad. David Davidescu", LUPAŞCU Georgeta ,   Bucharest University of Economic Studies, Romania, MARIN (PASCU) Florentina Emilia ,   Bucharest University of Economic Studies, Romania
Published: November 2024

This article analyzes the evolution of the milk and dairy products market in Romania between 2015 and 2021, using data from the National Institute of Statistics and the Center for International Trade. The study highlights the importance of the dairy sector in the European Union and investigates Romania's specific challenges, including declining exports and increased dependence on imports. Using bibliometric analysis, a decrease in research interest is observed after 2016. The research methodology is descriptive and includes the analysis of key indicators such as total resources, domestic consumption, self-sufficiency rate, import dependence and trade balance. The results show an increase in total resources but greater dependence on imports, contributing to a negative trade balance and a decrease in self-sufficiency. The conclusions underline the need to increase domestic production and reduce dependence on imports to ensure the competitiveness and sustainability of Romania's dairy industry.
EVALUATING THE ECONOMIC IMPORTANCE OF FISHERIES SERVICES: THE CASE OF THE BELGARDE ECOSYSTEM
Authors:   Institute of Agricultural Economics,  Belgrade, Serbia, SUBIĆ Jonel , JELOČNIK Marko ,   Institute of Agricultural Economics,  Belgrade, Serbia
Published: November 2024

Sustainability is a core of any natural or social activity. Observing the forests’ ecosystems, its complexity most often involves some additional services such are the hunting and fishery. In essence it relies on adequate managing and maintaining biodiversity of available wild animal and fish species at predefined area. The main goal of research is to evaluate the economic effects of ecosystems services linked to fishery activities at the territory of Belgrade in next several decades. Using the classic static and dynamic assessment methods, as well as assuming the certain change in gained incomes or made expenditures, derived results show strong positive economic trends within the sector of fishery at the territory of Belgrade.
Water Sensitive Urban Design Construction Systems Performance Due to Water Retention
Authors: Cambra María del Mar Pérez , Santafé Dolors Martínez , Cladera Josep Roca
Published: November 2024

Objectives: The main goal of this research is to analyze and quantify reduction of surface temperatures (Ts) in systems which retain and especially harvest water with the focus on blue roofs and to check if just infiltrating water is enough to reduce surface temperatures.
 
Theoretical Framework: ODS13, Climate action; ODS11 Sustainable Cities and communities; Water Sensitive Urban Design construction systems thermal behavior and Cooling water effect implemented by Governments and Municipalities.
 
Method: it’s experimental, based on the quantification of different WSUD construction systems which infiltrate, retain and harvest water during a first year and focused on a blue roof prototype during a second year. Tools used are a thermal camera, a hygrometer and an anemometer.
 
Results and Discussion: Surface temperatures gradients were from 5.3ºC at the infiltration basin, to 6ºC in the blue roof prototype to 14.6ºC in the built blue roof.
 Construction systems which could retain and harvest water had a Ts underneath the environmental one. They also retain less heat during the night contributing less to UHI than those which can’t retain water.
 
Research implications: this research provides the information about water powerful effect in construction systems which infiltrate and harvest water. They contribute to the decrease of UHI.
 
Originality/value: results demonstrate water cooling effect in infiltrating surfaces which can retain it. Results offer one more construction systems choice criteria in urban design.
Airway Management in Patients With Severe Traumatic Brain Injuries in the Emergency Unit: Integratva Review
Authors: López Andrés Santiago Quizhpi , Silva Carine Vitória Lemes da , Oliveira Heluza Monteiro de , Nascimento Thiago Ruam , Santos Kateryne de Jesus , Gomes Maria José Tatiane dos Santos , Guimarães Hugo Henrique dos Santos Dantas , Véras Saul Felipe Oliveira , Véras Raul Felipe Oliveira , Oliveira Kelly Albuquerque de , Pedrosa Gabriel de Albuquerque , Pedrosa Gabriel de Albuquerque , Cruz Adriano Nogueira da , Costa Michelle Karoline
Published: November 2024

Objective: The present study aims to analyze the best practices, risk factors, and challenges involved in airway management in patients with severe TBI, both in the prehospital and hospital settings, in order to identify interventions that optimize clinical outcomes.
 
Method: An integrative literature review was conducted based on studies published between 2019 and 2024. The research was structured by the PICo (Population, Interest and Context) strategy, focusing on patients with severe TBI, airway management and ventilation. After screening 325 articles, 10 studies were selected for critical analysis, following the PRISMA guidelines.
 
Results and Discussion: It was observed that early intubation, although crucial, presents significant variations in effectiveness depending on the training and experience of the team. Complications such as excessive hyperventilation, aspiration, and difficulties in airway management in patients with cervical spine injuries were recurrent in the studies. The implementation of standardized protocols and the use of advanced devices, such as videolaryngoscopy, have been identified as essential measures to reduce complications and improve outcomes. The need for a trained multidisciplinary team and the use of evidence-based guidelines was also highlighted as critical to treatment success.
 
Conclusion: Airway management in patients with severe TBI is complex and requires a careful and well-trained approach. The review emphasizes the importance of well-defined protocols and continuous training of emergency responders to optimize survival and neurological outcomes for these patients.
Integration of Gamification and Mobile Applications to Promote Inclusive Education: a Techno Pedagogical Approach
Authors: Guerrero Jonathan Ernesto Mora , Manzaba Jéssica Beatriz Plaza , Sánchez Kevin William Guadalupe , Salazar Pedro Antonio Cedeño , Robles Lileana Carolina Saavedra , Jiménez Kevin Andrés Sánchez , Escobar Juan Ernesto Fernández , Palacios Carlos Eduardo Coello , Meza David Vicente Lauzó
Published: November 2024

Objective: The aim of this study is to analyze, through a document-based synthesis of existing literature, the integration of gamification and mobile applications in inclusive education, focusing on their potential to support the academic development of students.
 
Theoretical Framework: The research presents key concepts and theories that underpin the implementation of gamification and mobile applications in the context of inclusive education, providing a solid theoretical framework that aids in understanding the study's context.
 
Method: Through the review of 20 scientific articles, several effective strategies for implementing various technological tools (mobile applications) in the teaching-learning process are identified, with a special focus on inclusive education.
 
Results and Discussion: It was shown that the use of playful elements and technological resources enhances active student participation, particularly for those with special educational needs, facilitating the development of soft skills such as collaboration, problem-solving, and self-efficacy.
 
Research Implications: The implications of this research span various areas of education, highlighting the need to integrate innovative pedagogical approaches that promote equitable access and inclusion.
Originality/Value: This study contributes to the literature by analyzing innovative approaches to the integration of gamification and mobile applications in emerging educational models. Its value lies in the need to develop projects that break educational monotony, promoting interactive experiences that empower both learners and educators.
Research Competencies From the Socio-Formative Approach Seen in Undergraduate Students at a Peruvian and Mexican University
Authors: Sánchez Aracelli del Carmen Gonzales , Navarro Catalina del Rosario Barrio , Mariño Nancy Rita Trujillo , Díaz Carlos Mario Fernández , Retamozo Noemí Mendoza
Published: November 2024

Objective: To compare research competencies from the socioformative approach observed in undergraduate students at a Peruvian and Mexican university.
 
Theoretical Framework: From the initial stages of education, students should receive a holistic training that makes them capable of facing the challenges demanded by the changing world and the knowledge society. Under the protection of socioformation in higher education, it is essential to train new generations to develop more authentic competencies that allow them to confront the working world. Socioformation offers a perspective on knowledge management, recommending breaking with traditional patterns of how education is delivered. In the face of complex situations, students at all levels must adopt critical thinking.
 
Method: The purpose of this research was to compare research competencies from the socioformative approach observed in undergraduate students at a Peruvian and Mexican university. It was a joint study with professors from another Mexican university, using a quantitative approach with a descriptive-comparative scope. The study included the participation of 64 Mexican and 65 Peruvian students, all of whom are in the early semesters of the education program at a public university in Peru and Mexico.
 
Results and Discussion: Descriptive statistics, considering the percentage level of the results for the research competencies variable between Peru and Mexico, showed that 54.7% of Mexican students demonstrated autonomy, compared to 52.3% of Peruvian students. Inferential statistics confirmed that there are differences between both groups, taking into account the Mann-Whitney U test.
 
Research Implications: The academic community demands studies that consider the development of competencies in students, such as socioformation, linking it to research competencies, as critical professionals are needed in the future.
 
Originality/Value: To provide the academic community with a Likert scale instrument with 24 items, allowing the collection of perceptions regarding the development of research competencies.
School Inclusion at the Federal Institute of Amapá: a Case Study at the Macapá Campus
Authors: Cortes André Luis da Silva e Silva , Paula Lucília Augusta Lino de , Guimarães Luciana Carlena Correia Velasco , Ribeiro Adriana Barbosa
Published: November 2024

Objective: The objective of this study is to analyze the perceptions of teachers and students about the school inclusion of students with special educational needs (SEN) at the Federal Institute of Amapá (IFAP), Macapá campus, focusing on the adequacy of pedagogical practices and institutional infrastructure.
 
Theoretical Framework: The research is based on the concepts of school inclusion, accessibility, and teacher training for specialized services. References such as the Salamanca Declaration and Brazilian legislation on inclusive education provide theoretical support.
 
Method: A descriptive study with a qualitative approach was conducted, using semi-structured interviews. Participants included 7 students with SEN, 18 teachers, and the coordinator of the Nucleus for the Support of People with Special Educational Needs (NAPNE). Data analysis followed Bardin’s content analysis method (2016).
 
Results and Discussion: The included students expressed satisfaction with the physical and pedagogical structure but identified areas for improvement. Teachers, on the other hand, pointed to a lack of training and capacity as barriers to full inclusion. The discussion highlights the need for ongoing adjustments to ensure a more inclusive educational environment.
 
Research Implications: The study emphasizes the importance of educational policies that promote continuous teacher training and the adjustment of educational institutions, contributing to the construction of a more inclusive school environment.
 
Originality/Value: This study contributes to the literature by providing a comparative analysis of the perceptions of teachers and students regarding school inclusion in the context of technical and technological education, expanding the debate on challenges and progress in this field.
Enhancing and Explaining Energy Management in Smart Manufacturing Production via ML Within the Context of Industry 4.0
Authors: Belghiti Imane Daha , Jaadouni Hatim , Saadi Chaimae
Published: November 2024

Objectives: This study aims to explore the integration of big data and machine learning to enhance energy efficiency in manufacturing, focusing on the opportunities presented by Industry 4.0 and cyber-physical production systems.
 
Theoretical Framework: The research leverages supervised learning techniques to analyze and predict machine-specific energy consumption patterns, utilizing energy disaggregation as a foundational concept.
 
Method: Various machine learning algorithms, including Lasso regression, Linear regression, and Decision Tree, will be employed to develop predictive models for energy usage. Additionally, Explainable Machine Learning (XML) techniques will be utilized to ensure interpretability and clarity in the prediction outcomes.
 
Results and Discussion: The proposed framework aims to elucidate the relationship between equipment utility and energy consumption, providing comprehensible explanations that enhance decision-making processes within intelligent industrial environments.
 
Research Implications: This work highlights the significant potential of XML in transforming machine learning applications in manufacturing, paving the way for improved energy efficiency and operational effectiveness.
 
Originality/Value: The introduction of an innovative framework that combines machine learning with explainability in the context of energy consumption marks a valuable contribution to the fields of manufacturing and sustainable industry practices.
Analysis of local community ecological knowledge on mangrove ecotourism development in Donggala Regency, Central Sulawesi, Indonesia
Authors: Trianto Manap , Adnan Bahana Aditya
Published: November 2024

The mangrove area in Donggala Regency is a unique and potential area, but the area tends to be threatened by increasing mining activities in the area. Management of the mangrove area in Donggala Regency as an ecotourism area is an alternative form as an innovative effort to maintain environmental functions as a provider of environmental services in order to remain sustainable. This study was aimed at analyzing the Local Community Ecological Knowledge (LCEK) pertaining to mangrove ecosystems and ecotourism development in Donggala Regency. The study used a survey method, utilizing the analysis of the tourism suitability index (IKW) and the carrying capacity of the area (DDK). Community knowledge and perceptions were based on a Likert scale scoring system. The results of the study and the discussion showed that people in Donggala Regency had local ecological knowledge of mangrove forests, especially mangrove habitats, mangrove damage factors and the impact of mangrove damage was better than the function of mangroves. Utilization of mangrove ecosystems in Donggala Regency is very diverse, ranging from the utilization of mangrove stems, fruits, leaves and roots and fishery products such as small fish and shellfish. The community's understanding of ecotourism activities was very good and they agreed with the ecotourism activities that were carried out.
Conservation of local resources: The role of kepok banana blossom in supporting breast milk production
Authors: Heryani Sri , Ningrum Widya Maya , Mukti Arifah Septiane , Rohmah Siti
Published: November 2024

Optimal production of breast milk is essential to support the health and development of babies. One of the efforts that can be made to increase breast milk production is through the nutrition of breastfeeding mothers. This study aims to determine the effect of consumption of banana kepok blossoms on breast milk production. The study was conducted at PMB Midwife Fitri, Ciamis, using a pre-test and post-test design in an intervention group consisting of 15 breastfeeding mothers. The results showed that the consumption of banana kepok blossoms could significantly increase breast milk production, from an average of 54 mL before the intervention to 99 mL after the intervention. These findings provide an alternative to natural ingredients-based nutrition to support breast milk production in breastfeeding mothers.
Penanganan Preeklampsi Berat di RSUD dr. Soekardjo Kota Tasikmalaya
Authors: Hidayah Nurul , Rohmah Siti , Sumiati Eet
Published: November 2024

Preeklampsia - Eklampsia adalah penyakit pada wanita hamil, yang secara langsung disebabkan oleh kehamilan. Preeklamsia adalah hipertensi disertai proteinuri dan edema, akibat kehamilan setelah usia kehamilan 20 minggu atau segera setelah persalinan. Gejala ini dapat timbul sebelum 20 minggu. Eklamsia adalah timbulnya kejang pada penderita preeklamsia, yang disusul dengan koma. Kejang di sini bukan akibat kelainan neurologis. Secara umum penangan pada preeklampsi berat dapat dilakukan dengan segera rawat penderita dan lakukan pemeriksaan klinis terhadap keadaan umum. Penanganan yang dilakukan di RSUD dr. Soekardjo Kota Tasikmalaya meliputi membina hubungan baik dengan ibu dan keluarga, menjelaskan hasil pemeriksaan, melakukan informed concent, melakukan kolaborasi dengan dokter jaga IGD (untuk ponek), memasang infuse RL dengan canul IV besar (ukuran 16 atau 18), memasang kateter foley untuk memantau produksi urine (periksa setiap 4 jam), produksi urine normal > 100 cc/4 jam dan Kolaborasi dengan DSOG untuk pemberian terapi dan tindakan (sesuai protap), Kolaborasi dengan petugas laboratorium untuk pemeriksaan darah dan urine, Memberikan terapi sesuai advis dokter, Kolaborasi dengan dokter internis dan neurolog serta Mengobservasi intake dan output.
Nonpharmacological Spine Pain Management in Clinical Practice Guidelines: A Systematic Review Using AGREE II and AGREE-REX Tools
Authors: Lim Ting Ho , Mak Hui Yeung , Man Ngai See Moriah , Man Yeuk Tsin , Tang Ching Ho , Wong Arnold Y.L. , Bussières André , Al Zoubi Fadi M.
Published: November 2024

OBJECTIVE: To summarize the content and critically appraise the quality and applicability of recent clinical practice guidelines (CPGs) for nonpharmacological, nonsurgical management of spine pain.

DESIGN: Systematic review of CPGs.

LITERATURE SEARCH: Six databases and seven guideline clearinghouses.

STUDY SELECTION CRITERIA: Included de novo CPGs for nonpharmacological, nonsurgical management of spine pain designed for any primary health care providers, published in English, Arabic, French, or traditional Chinese within the past 12 years.

DATA SYNTHESIS: Five reviewers independently appraised the guidelines using AGREE II and AGREE-REX. Interrater agreements were calculated for each domain and the total score of these tools using the intraclass correlation coefficient (2, 1) with absolute agreement.

RESULTS: We included 30 CPGs, primarily (90%) developed in Western countries, which contained 404 recommendations. High-quality CPGs consistently recommended exercise therapy and multimodal care, encompassing a combination of exercises, mobilization/manipulation, education, alternative medicine, and cognitive-behavioral treatments. Generally, CPGs did not recommend assistive (eg, corsets and orthosis) devices or electro/thermotherapies (eg, therapeutic ultrasound and transcutaneous electrical nerve stimulation). Approximately half of the CPGs demonstrated good methodological quality according to AGREE II, whereas the rest were of poor quality. On the AGREE-REX assessment, one third of the recommendations were of excellent quality.

CONCLUSION: Although recent guidelines frequently recommended exercise therapy and multimodal care for the management of spine pain, their recommendations often overlooked demographics and comorbidities. Despite methodological improvements, most CPGs lacked simple clinical applicability and considerations of knowledge users’ values. J Orthop Sports Phys Ther 2025;55(1):12-25. Epub 4 November 2024. doi:10.2519/jospt.2024.12729
Achilles Pain, Stiffness, and Muscle Power Deficits: Midportion Achilles Tendinopathy Revision – 2024
Authors: Chimenti Ruth L. , Neville Christopher , Houck Jeff , Cuddeford Tyler , Carreira Dominic , Martin Robroy L.
Published: November 2024

The Academy of Orthopaedic Physical Therapy (AOPT) has an ongoing effort to create evidence-based clinical practice guidelines (CPG) for orthopaedic physical therapy management of patients with musculoskeletal impairments described in the World Health Organization's International Classification of Functioning, Disability, and Health (ICF). The 2024 Achilles Pain, Stiffness, and Muscle Power Deficit: Midportion Achilles Tendinopathy Clinical Practice Guideline (CPG) is a revision of the 2018 CPG and represents the third CPG from AOPT on this topic. The goals of the revision were to provide a concise summary of the contemporary evidence and to develop new recommendations or revise previously published recommendations to support evidence-based practice. This current CPG covers prevalence, pathoanatomical features, risk factors, clinical course, diagnosis, examination, imaging and physical therapy interventions for the management of midportion Achilles tendinopathy.
Architectured Silicone Vitrimers with Light-Tunable Mechanical and Self-Healing Behavior
Authors: Menasce Stefano , Coulter Fergal , Libanori Rafael
Published: November 2024

Architectured materials synergistically harness chemical and microstructural features to create monoliths with antagonistic properties. Although it is a hallmark of biological composites, this material design concept has only recently been applied to synthetic elastomers and vitrimers. Here, we propose a light-based platform to manufacture architectured silicone vitrimers with locally tunable mechanical properties. Vitrimers are created through photocuring of polymer mixtures containing silica particles, silicone prepolymers and thiol crosslinkers. Dioxaborolane groups are incorporated in the silicone prepolymers to form dynamic bonds in the covalent adaptive network. Experiments showed that the mechanical properties and self-healing behavior of the silicone vitrimers are strongly influenced by the illumination conditions used during photo-curing. This dependence is exploited to manufacture architectured silicone vitrimers combining high stretchability and locally programmable mechanical stiffness. The high stretchability, tunable local properties and adaptive nature of these polymers makes them attractive for applications in soft robots, biomedical implants, and wearable devices.
Universal and Updatable Artificial Intelligence-Enhanced Quantum Chemical Foundational Models
Authors: Chen Yuxinxin , Hou Yi-Fan , Isayev Olexandr , Dral Pavlo O.
Published: November 2024

Quantum chemical methods developed since 1927 are instrumental in chemical simulations but human expertise has been still essential in choosing a suitable method. Here we introduce a paradigm shift to universal and updatable artificial intelligence-enhanced quantum mechanical (UAIQM) foundational models with an online platform auto-selecting the models with the best accuracy for the given system, available time, and moderate computational resources (see https://xacs.xmu.edu.cn/docs/mlatom/tutorial_uaiqm.html for instructions). The platform hosts a growing library of state-of-the-art UAIQM models with calibrated uncertainties and provides a mechanism for improving the foundational models continuously with more usage. We demonstrate how the UAIQM platform can be used for massive accurate simulations within hours on a commodity hardware which would take days or weeks on high-performance computing centers with less accurate workhorse quantum chemical methods. We also show that UAIQM sets a new standard for infrared spectra, reaction barriers, and energetics whose accurate predictions can have far-reaching consequences in molecular simulations.