bluuebunny/crossref_metadata_2025 huggingface dataset:
Long-term effects of conventional radiofrequency in cases of trigeminal neuralgia
Authors: Yılmaz Ahmet
Published: October 2024

Objective: Trigeminal neuralgia (TN) is defined as severe, episodic pain occurring in one or more branches of the trigeminal nerve. Due to its long-term effect, radiofrequency thermocoagulation (RFT) is used as a first-line treatment. The first choice in the treatment of classical trigeminal neuralgia patients is medical treatment. Additionally, pregabalin and gabapentin are frequently used drugs. Surgical treatment is an option for Trigeminal Neuralgia that cannot be treated with medication, but there is no single method for this. Various surgical methods, such as Trigeminal Radiofrequency (RF) rhizotomy may be effective in treatment.
Material and metods: The procedure is performed under operating room conditions and radiological imaging guidance. The patient is placed in the supine position, an IV line is established, and monitoring is initiated. After local field cleaning and sterile draping, optimal imaging is achieved using C-arm fluoroscopy with an ipsilateral 15° oblique and 30° caudal angle. A 22-gauge, 100 mm RF needle with a 5 mm active tip is directed towards the foramen ovale, and the tunnel view is checked.
Results: In our study, the minimum age was 41 and the maximum age was 68. Additionally, 9 of the patients were female, and 2 were male. In our series, 9 patients had mandibular nerve involvement, and 2 had maxillary nerve involvement. In our series, 6 patients were using carbamazepine, 4 were using pregabalin, and 1 was using gabapentin. Medication treatment was discontinued in all patients after the procedure. As shown in Table 1, the VAS score decreased to 0 in 6 patients on the 15th day, to 2 in 4 patients, and to 1 in 1 patient. The VAS score exceeded 5 in 1 patient in the 2nd year and in 5 patients in the 4th year, and conventional RFT was repeated for these patients. The VAS score decreased to 0 in 6 patients on the 15th day, to 2 in 4 patients, and to 1 in 1 patient. The VAS score exceeded 5 in 1 patient in the 2nd year and in 5 patients in the 4th year, and conventional RFT was repeated for these patients. Pregabalin 75 mg was started for all patients between the recurrence of pain and the interventional procedure, and it was discontinued once the pain decreased after the procedure. No side effects were observed in the patients.
Conclusion: The treatment of trigeminal neuralgia includes medical, surgical, and percutaneous interventional options. Conventional RF thermocoagulation is the first choice among other percutaneous interventional and surgical treatment options in TN treatment due to its selective lesion formation, minimally invasive nature, high success rate, low complication rate, and low cost.
Sentiment Analysis of Product Reviews using Rule-based and Deep-Learning Models
Authors: Surendra K. , Prakash K. Nithin , Kumar J. Maruthi , Goud G. Rakesh , Shanmugapriya N.
Published: October 2024

This study analyses the feelings and opinions expressed in product reviews by utilizing NLTK (Natural Language Toolkit) and deep learning models to forecast customer sentiments and evaluate the probability of product purchases based on the review information available. The study examines the sentiment analysis applied to the Flipkart product reviews using a sentiment dataset. The NLTK, VADER, and RoBERTa models are evaluated for their effectiveness in predicting the sentiment of the customers. The analysis shows that the VADER, as a rule-based model is efficient in handling short and simple reviews but faces challenges with more complex sentiments. Meanwhile, RoBERTa outperforms VADER, with a Mean Absolute Error (MAE) of 0.12 and an R2 value of 0.85. The comparative study shows the ability of RoBERTa to capture subtle emotions in customer reviews and accurately understand customer feedback, proving to be valuable in e-commerce for optimizing product recommendations and customer satisfaction.
INTERVALO DE TEMPO ENTRE ARTROSCOPIA E ARTROPLASTIA TOTAL DO JOELHO EM PACIENTES IDOSOS COM OSTEOARTRITE
Authors: Sant’Anna Aragão Iapunira Catarina , Sant’Anna Aragão Felipe Matheus , Rezende Santos André Elias , Jacó Carvalho Adler Oliveira Silva , Guerra Danilo Ribeiro , Correa Feitosa Vera Lúcia , Reis Francisco Prado , Aragão José Aderval
Published: October 2024

A presente pesquisa pretendeu verificar, por meio de uma revisão bibliográfica, o tempo necessário entre os procedimentos, ou seja, quanto tempo os pacientes acometidos por artrose e submetidos à artroscopia levaram até que fosse necessária a artroplastia total. O objetivo geral foi verificar o tempo médio entre a realização da artroscopia e da artroplastia em pacientes idosos com gonartrose. Os objetivos específicos incluem revisar a bibliografia que embasa o tema artroscopia no joelho de pacientes idosos, determinar o tempo médio entre a realização da artroscopia e a artroplastia e verificar de que modo a artroscopia retarda ou antecipa a necessidade de artroplastia. Sendo a artroplastia o tratamento mais utilizado para a gonartrose, é importante que sua eficiência seja revisada e comparada com outros métodos, no sentido de se tentar estabelecer um procedimento terapêutico que promova o bem-estar do paciente. A pesquisa foi realizada por meio de uma revisão de literatura, feita em bases de indexação científica, que incluem artigos científicos, periódicos, revistas e livros acadêmicos. Buscaram-se pesquisas realizadas por meio do uso dos descritores "artroscopia na artrose no joelho", "artroscopia na gonartrose em idosos" e "tratamentos para artrose em idosos". Trata-se de uma pesquisa qualitativa, documental e bibliográfica.
Towards the demarginalisation of African youth: Agenda 2063 – The Africa We Want – a golden opportunity or a pie in the sky?
Authors: Beukes Jacques
Published: October 2024

The phrase ‘pie in the sky’ is commonly employed to denote an appealing concept or idea that is unlikely to come to fruition. This chapter undertakes a critical examination of Aspiration 6 of the African development agenda, Agenda 2063, which is titled ‘The Africa We Want’. Aspiration 6 outlines the vision of a people-centred Africa, which leverages the potential of its citizens, particularly women and youth, while prioritising the well-being of children. The aforementioned schedule incorporates a strategic plan, an implementation plan, and a framework for monitoring and assessing progress, with the initial evaluation milestone set for 2023. This chapter investigates the potential of Agenda 2063 as a means of addressing the marginalisation of youth in Africa, or to determine if it can be considered a missed opportunity.
Exploring Government Transparency as a Path to Open Government
Authors: Oksiutycz Anna
Published: October 2024

The calls for, and declarations of, commitment to transparency by government have come from many quarters, including politicians, lawmakers, business managers, customers, activists and civil society. In South Africa, both government and business organisations are under the increased scrutiny of the public, media and civil society, and as such, there is a growing emphasis on government and public sector organisations becoming more transparent and consequently accountable to the citizens.
Contextualising the Complexities of Public Sector Communication
Authors: Sitto-Kaunda Karabo
Published: October 2024

This volume presents the overarching complexities of the interconnectedness of communication in the public sector. The importance of government communication has attracted significant academic attention; however, this book attempts to paint a broader picture of the economic and administrative structures owned, controlled and operated by the government in the context of technological disruption. We also outline public sector communication with the recognition of the three branches of government, namely the executive, the legislature and the judiciary.
ВЛИЯНИЕ ХРОНОЛОГИЧЕСКИХ ХАРАКТЕРИСТИК СЕМЕЙНОЙ СИСТЕМЫ НА ПЕДАГОГИЧЕСКУЮ КУЛЬТУРУ РОДИТЕЛЕЙ
Authors: Эхаева Р.М.
Published: October 2024

На формирование и развитие педагогической культуры родителей оказывают влияния многие факторы, среди которых ряд хронологических характеристик. К таким характеристикам относятся: история семьи, описывающая важные события в жизни не менее трех поколений; семейный сценарий, с помощью которого можно понять нерешенные проблемы семьи, передающиеся от поколения к поколению; семейный миф, позволяющий членам семьи верить в лучшие чувства и качества своих предков; семейная легенда, с помощью которой неблаговидные поступки членов семьи умышленно искажаются для облагораживания такого поведения родственника. Исторические факты семьи могут являться факторами повышающими эффективность воспитания, но могут и препятствовать ему. Педагогическая культура родителей будет повышаться, если семейная история, семейный сценарий, семейные миф и легенда будут ими критически оцениваться и, в случае негативного фона, трансформироваться для того, чтобы родители смогли осуществлять педагогическое влияние на детей на более высоком уровне, чем это делали более старшие члены семьи.
NAVIGATION IN E-GOVERNMENT: THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE FORMATION OF THE LEGAL FRAMEWORK FOR THE PROTECTION OF INTELLECTUAL PROPERTY RIGHTS
Authors:   Scientific Center of Innovative Research, Mihus Iryna , Zahorskyi Volodymyr ,   Ukrainian National Forestry University, Lipentsev Andriy ,   Ukrainian National Forestry University
Published: October 2024

The integration of artificial intelligence (AI) into electronic government (e-government) systems is revolutionizing public administration by enhancing efficiency and improving service delivery. However, the adoption of AI technologies in this context also raises complex legal challenges, particularly concerning intellectual property (IP) rights. Traditional IP laws, which were developed with human authorship in mind, struggle to accommodate the unique characteristics of AI-generated content. This article examines how AI is reshaping the legal framework for IP protection within e-government systems, highlighting the implications and challenges that arise from this technological shift. The primary aim of this study is to explore the role of AI in the formation of IP law frameworks within e-government, focusing on how current laws address—or fail to address—the challenges of AI-generated content. The methodology includes a comprehensive literature review, analysis of legislative documents, case studies, and a benchmarking analysis to compare approaches across jurisdictions. Additionally, expert interviews provide insights into practical considerations and emerging trends in the field. The results indicate that while some jurisdictions, such as the European Union, are actively adapting their IP laws to address AI's impact, most existing frameworks remain inadequate for protecting AI-generated works. Divergent approaches across countries reveal a lack of international harmonization, which complicates cross-border collaboration and legal enforcement. The analysis also highlights the importance of public-private partnerships and sector-specific IP protections, which can address the unique needs of different e-government applications. From a forward-looking perspective, the study underscores the need for flexible, AI-specific IP protections that promote innovation while safeguarding IP rights. International cooperation will be essential for establishing consistent standards, facilitating global e-government initiatives, and supporting the responsible use of AI in public services. By fostering a balanced and adaptive IP framework, policymakers and stakeholders can help build a resilient digital ecosystem that accommodates future advancements in AI technology.
THE POLITICS OF FIDESZ-KDNP OF HUNGARY UNDER V. ORBÁN IN WESTERN MEDIA, 2010-2024
Authors:   KROK University, Tkach Dmytro , Burmaka Maria ,   KROK University
Published: October 2024

This article offers a comprehensive analysis of Western media coverage of the Hungarian government's political course under Viktor Orban and the FIDESZ-KDNP coalition from 2010 to 2024. The study encompasses a wide range of aspects of Hungary's domestic and foreign policy, tracing the evolution of "Orbanism" perception in international media discourse. The author examines in detail the key themes that dominated Western media regarding Hungary, namely: The transformation of the country's democratic system and discussions around the concept of "illiberal democracy". Systematic conflicts between Hungary and the European Union, especially on issues of rule of law and democratic values. Hungary's strict migration policy and its impact on European policy in this area. Economic reforms known as "Orbanomics" and their controversial perception in the international arena. Changes in Hungary's media landscape and discussions about press freedom. Hungary's foreign policy course, including its relations with Russia, China, the USA, and neighboring countries. Special attention is paid to the impact of the Hungarian governance model on regional politics in Central and Eastern Europe, as well as its perception by right-wing and conservative movements in Europe and the USA. The article also examines the dynamics of Hungary's relations with the EU and NATO, particularly in the context of Russian aggression against Ukraine and Hungary's position on this conflict. The research is based on a wide range of Western media sources, including leading newspapers, magazines, television channels, and online publications. The author traces changes in the tone and focus of coverage of Hungarian politics during the specified period, identifying key trends and turning points in the international perception of Hungary. The article also examines Western media's reaction to Hungary's presidency of the Council of the European Union. The author summarizes the main trends in Western media coverage of Hungarian politics and assesses their impact on Hungary's international reputation and its relations with key partners.
PENGARUH SENAM QIGONG DAN RELAKSASI NAPAS DALAM TERHADAP KECEMASAN IBU HAMIL TRIMESTER 3 DI PUSKESMAS CILACAP UTARA 2
Authors: Apriani Evy , Wahyuni Sri , Prasetyani Dewi
Published: October 2024

Kecemasan dialami oleh ibu hamil akibat  berbagai perubahan baik fisik atau psikologis. Dampak buruk dari kecemasan ibu hamil memicu terjadinya rangsangan kontraksi Rahim, dapat meningkatkan tekanan darah sehingga mampu memicu terjadinya keguguran dan preeklamsi. Kecemasan terjadi pada ibu hamil trimester 3 karena menghadapi proses persalinan. Intervensi yang dapat diterapkan perawat untuk mengatasi kecemasan adalah dengan memberikan senam qigong dan relaksasi nafas dalam. Mengetahui pengaruh senam qigong dan relaksasi nafas dalam untuk penurunan kecemasan pada ibu hamil trimester 3 di Puskesmas Cilacap Utara II. Metode quasy experiment one group pretest-posttest. Sampel sebanyak 26 orang dengan Total sampling. Analisis data menggunakan uji wilcoxcon. Hasil penelitian menunjukan bahwa ibu hamil trimester 3 sesudah diberikan senam qigong di Puskesmas Cilacap Utara II terjadi penurunan tingkat kecemasan, sebelum diberikan senam qigong dan relaksasi napas dalam sebagian besar ibu hamil berada pada kategori kecemasan berat sebanyak 19 orang (73,1%) tetapi setelah diberikan senam qigong dan relaksasi napas dalam tidak ada ibu hamil yang mengalami kecemasan berat, sebagian besar berada pada kategori kecemasan ringan sebanyak 18 orang (69,2%). Hasil penelitian menunjukan bahwa ada pengaruh yang signifikan antara senam qigong dengan relaksasi nafas dalam terhadap penurunan kecemasan pada ibu hamil trimester 3 (pv = 0,000; α = 0,05 ).
Influence of Soil Moisture on Soil Temperature of Harumanis Mango Trees Under Controlled Environment
Authors: Ali Siti Syakirah , Azizan Fathin Ayuni
Published: October 2024

Soil moisture and temperature plays an essential role in plant growth and development. They are the main environmental variables controlling soil respiration and photosynthesis. For Harumanis mango grown in a controlled environment, these two variables are important in regulating the overall condition to imitate the required condition, particularly during vegetative growth. In this study, we aimed to investigate the influence of soil moisture on soil temperature in the Harumanis mango tree greenhouse. Two types of sensors: soil moisture and soil temperature sensor, were installed at 15 cm depth to monitor the in-situ readings at three specific locations in the selected greenhouse. Soil moisture and soil temperature were monitored for 20 days continuously at 10-minutes intervals. The results of linear regression indicated that an increase in soil moisture decreases the soil temperature, although there is a variation in data regarding the sampling locations. This information could help growers plan the irrigation efficiently (i.e. water amount) to initiate preferable dry conditions to induce flowering of these mango trees
Pengaruh Daun Kacang Panjang Terhadap Kelancaran Produksi ASI dan Peningkatan Berat Badan Bayi di Klinik Anugerah Mulia Bekasi Utara tahun 2020
Authors: Maryati
Published: October 2024

Air Susu Ibu atau ASI ialah Makanan terbaik yang dibutuhkan bayi, terutama pada setengah tahun pertama kehidupannya sebab ASI mengandung zat bergizi yang dibutuhkan bayi guna tumbuh kembangnya. Agar bayi selalu terpenuhi kebutuhan ASI eksklusifnya maka ibu harus melakukan kegiatan program laktasi, karena dampak ASI yang tidak lancar membuat ibu berpikir mengambil langkah berhenti menyusui juga menggantinya dengan susu formula. Tujuan Penelitian : Mengetahui pengaruh daun kacang Panjang (Lembayung) terhadap kelancaran produksi ASI dan peingkatan berat badan bayi di Klinik Anuggrah Mulia tahun 2020.Metode Penelitian : Metode Penelitian ini menggunakan pendekatan kuantitatif, metode yang digunakan dalam penelitian ini adalah quasi experiment atau eksperimen semu. Desain yang digunakan dalam penelitian ini adalah one group pretest-posttest design, yang tidak menggunakan kelompok kontrol. Pengukuran dilakukan sebelum dan sesudah pemberian perlakuan selesai. Populasi di penelitian ini ialah seluruh ibu postpartum di Klinik Anugrah Mulia Bekasi Utara pada bulan November 2023 sebanyak 56 orang Hasil Penelitian :  Dari hasil uji paired simple t test diketahui nilai signifikansi sebesar 0,000 < 0,05.  Kesimpulan dan saran : Ada pengaruh konsumsi daun kacang panjang terhadap kelancaran produksi ASI. Diharapkan kepada petugas kesehatan dapat memberikan tambahan informasi serta mensosialisasikan atau memberikan penyuluhan terkait pentingnya produksi ASI.
Rhodian Influence at Kalynda during the Hellenistic Period: Analysis of Oil Lamps from Asar Tepe Excavations (Şerefler/Dalaman)
Authors: Gerçek Hakan
Published: October 2024

This study delves into the oil lamp fragments recovered during the 2022-2023 excavation season at Kalynda. Despite not being found in their entirety, the current state of these lamps allows for the determination of their forms. Originating from Rhodes in the 3rd century BC during the Hellenistic Period, these oil lamps were encountered in various regions, particularly through maritime trade.
Rhodes, a prominent trading center in the 3rd century BC, held a leading position in maritime trade, actively engaging with the Mediterranean, islands, Egypt, and the Levant. The strong presence of Rhodes in maritime trade facilitated the widespread distribution of goods produced on the island to major trade centers across this geographical expanse. The discovery of Rhodian goods, including oil lamps, in Kalynda—a settlement situated between Lycia and Caria—underscores the city's integral role in trade. The political dominance of Rhodes in Lycia and Caria during the Hellenistic Period further contributed to an influx of Rhodian products in regional cities like Kalynda. Beyond the oil lamps, Rhodian influence in the city is notably reflected in amphora handles bearing Rhodian stamps. The lamps discussed in this study not only enrich our understanding of imported common wares in Kalynda but also illuminate the expansive trade network orchestrated by Rhodes during the Hellenistic Period.
Multiple input CNN architecture for tool state recognition in the milling process based on time series signals
Authors: Bukowski Michał , Antoniuk Izabella , Szymanowski Karol , Krupa Artur , Kurek Jarosław
Published: October 2024

The study presents a tailored application of a multiple-input convolutional neural network (CNN) for tool state recognition in the milling process. Our approach uniquely applies an 11-input CNN to classify tool wear in chipboard milling, utilizing scalogram images derived from time-series signals. The primary objective was to categorize tool wear into three classes: green, yellow, and red, signifying the progression of wear. The study involved 75 samples (25 samples per class), each comprising 11 signals transformed into scalograms via continuous wavelet transform. The dataset of 825 scalogram images enabled the development of a CNN-based diagnostic model, achieving a notable accuracy of 96.00%, which is an improvement over a previous methods (93.33%).
Comparison of multi-criteria decision-making methods with the same normalization procedure based on real-life applications
Authors: Ersoy Nazlı , Keleş Nuh
Published: October 2024

The ranking of a set of objects defined by a single data set may vary due to differences in multi-criteria decision-making (MCDM) procedures. One of these procedural differences is normalization, which is an important step in data analysis and MCDM methods. In terms of demonstrating the impact of the normalization process on the results, this study aims to compare MCDM methods with a linear normalization process. This study works on eight ranking methods (WASPAS, SECA, SAW, OWA, CODAS, MARCOS, PSI, and WPM), and three weighting methods (Entropy, EW, LOPCOW) based on three real-life applications. The study primarily explains the differences in rankings by the MCDM methods. Additionally, it is also important to demonstrate the impact of different weights on the results. The study found that the MCDM rankings obtained with the same normalization process differed, and it also observed that different criterion weights had an impact on the ranking results. This study contributes to the literature as it is the first to compare MCDM methods using linear normalization processes based on real-life applications.
A synthetic measure for ranking overall satisfaction based on multidimensional ordinal data. The case of airlines on the TripAdvisor website
Authors: Roszkowska Ewa Roszkowska , Jefmański Bartłomiej , Kusterka-Jefmańska Marta_
Published: October 2024

A multi-criteria method has been proposed to measure global consumer satisfaction by handling graphical information represented in circles or star ratings available on the website for several criteria. The Synthetic Measure for Ordinal Data (SMOD) is based on Hellwig’s framework measuring distances between the object and the ideal object. In the construction of the synthetic measure, the distance between the ideal and anti-ideal object is also used. GDM2 distance measure was used for the calculation of distances between objects evaluated by ordinal scale. The proposed framework can be an alternative for the fuzzy or intuitionistic fuzzy transformations of linguistic data into fuzzy context. The SMOD method was applied for evaluation and ranking airlines based on passengers’ reviews accessed on the TripAdvisor website. We found that the proposed multi-criteria method enables us to discriminate and rank airlines based on incomplete information presented on this website. According to SMOD, the best is Singapore Airlines, while the last is Air China when considering Star Alliance members.
Generalization of stable preference ordering towards ideal solution approach for working with imprecise data
Authors: Shekhovtsov Andrii , Dezert Jean , Sałabun Wojciech
Published: October 2024

When solving real-world decision-making problems, it is important to deal with imprecise quantitative values modeled by numerical intervals. Although a different extension of the multi-criteria decision-making methods could deal with intervals, many of them are complex and lack such properties as robustness to rank reversal. We present an extension of the stable preference ordering towards ideal solution (SPOTIS) rank reversal free method to deal with imprecise data. This extension of SPOTIS is also rank reversal-free. It offers a new efficient approach for solving multi-criteria decision-analysis problems under imprecision and can use different metrics of distance between intervals. The proposed approach is compared to the popular Interval technique for order preference by similarity to ideal solution) extension and performs very similarly to it. We also show on a practical example that the interval TOPSIS approach is not robust to rank reversal, contrary to our new SPOTIS extension approach, which offers a stable decision-making behaviour.
Influence of School Working Conditions of Teachers’ Turnover on Learning Achievement in Biology in Public Secondary Schools in Garissa County, Kenya
Authors: Makokha Terry David , Nabwire Violet , Yungungu Alice
Published: October 2024

The modern propensity toward multi-disciplinary research and the alignment of scientific knowledge from different fields has led to significant overlap of the field of Biological sciences with other scientific disciplines. Modern principles of other fields such as Chemistry, Medicine, and Physics are integrated with those of Biology in areas such as Biochemistry, Biomedicine, and Biophysics, making Biology a valuable subject to humankind. However, the government’s inability to retain qualified and experienced teachers in some schools due to high turnover impacts negatively on the students’ learning achievement in this subject. This paper looks into the influence of school working conditions of teachers’ turnover on learning achievement in Biology in public secondary schools in Garissa County. The study was conducted using pragmatic worldview and adopted a convergent mixed-methods design. With a target population of 2786 respondents from 40 public secondary schools, a sample size of 387 respondents was obtained. Using stratified random sampling, 27 schools were selected from which 336 students and 51 teachers of Biology were randomly and purposively drawn respectively. Data collection was done using Biology teacher questionnaire and document analysis guide. The quantitative data was analyzed using descriptive and inferential statistics while qualitative data was analyzed thematically. The study findings showed that school working conditions (r=0.73, p<0.05) had a positive significant correlation with students’ learning achievement in Biology. Qualitative data findings revealed that majority of the teachers intended to transfer from rural to urban schools on the basis of unsuitable working conditions and insecurity. The study concluded that school working conditions of teachers’ turnover influenced low learning achievement in Biology in the study area. The study therefore, recommended strategies that should lower teacher turnover and increase learning achievement in Biology as follows; school principals should provide good leadership and adequate instructional resources for effective teaching of Biology while the government should post security officers to every learning institution in Garissa County to safeguard the non-local teachers’ safety and security
Development of Entrepreneurial Activity Using the Integration of Human Capital and Green Technologies to Optimize the Sustainable Development of the Tourism Sector (A Case Study of the Republic of Kazakhstan)
Authors: Rakhimzhanova Gulmira , Nurgalieva Zauresh , Shayakhmetova Liliya , Tolepov Adil
Published: October 2024

The development of the tourism sector faces serious challenges, which are related to its environmental transformation, digitalization, and integration of new technologies, as well as competitiveness. Tourists’ behavior is also changing. The future demand for tourism is likely to be driven by growing environmental awareness, increased use of digital services and new technologies, a shift towards a more personalized travel experience, and ensuring well-being and better engagement with local communities and culture. Meeting the requirements of the modern tourism industry is a problem not only for the Republic of Kazakhstan but also for other countries that strive for sustainable development of the tourism sector. The purpose of the study is to identify ways to develop entrepreneurial activity by integrating human capital and green technologies to optimize the sustainable development of the tourism sector. The paper examines the basic theoretical concepts of the essence and forms of sustainable tourism and presents the concept of the integration of human capital and green technologies to achieve the principles of sustainable development. Based on an expert survey, strengths, weaknesses, opportunities, and threats analysis, and statistical methods, the main ways of promotion and development of sustainable tourism, as well as measures to integrate human capital and green technologies into entrepreneurial activities in the tourism sector in the East Kazakhstan Region, have been identified. The authors have concluded that the introduction of green technologies and the integration of human capital with them provide new standards for the quality of tourist services while preserving the natural resources of the region.
Enhancing Landslide Risk Management in the City of Guwahati: Implementing an Automated Early Warning System Utilizing Soil Moisture Sensors
Authors: Sharma Madhushree , Laskar Shakuntala
Published: October 2024

Landslides pose a significant threat to human lives, infrastructure and environment, necessitating a landslide Early Warning system. A significant change in the soil moisture sensor value is observed as the time for landslip approaches in rainfall induced landslides. This paper represents an early warning system for the city of Guwahati using a basic automated tool, Zapier. By automating the early warning system, messages can be sent to the people residing in the landslide prone areas. This method is a low cost alternative to other landslide monitoring techniques such as use of retaining walls etc.
Predictive Maintenance of Induction Motor in the Cutting Section of Paper Industry
Authors: T. Kalavathidevi , M. Madhan Mohan , K. N. Baluprthviraj , B. Sangavi , S. K. Rajaraghavendraa , K. Rajeshkanna
Published: October 2024

Induction Motors are vital to the paper industry because they power a variety of equipment needed for pulp processing, drying and cutting among other tasks. Ensuring the consistent manufacture of these motors and satisfying market demands depends heavily on their dependability. However, the extreme humidity, dust and fluctuating loads that occur in the paper sector present serious obstacles to the efficiency and durability of induction motors. To maintain continuous production and satisfy consumer demand, the paper industry significantly depends on the effective operation of a variety of machinery including induction motors in the cutting area. Unexpected malfunctions in these vital parts however might result in expensive downtime and lost output. By using data-driven strategies that anticipate and avoid breakdowns before they happen, predictive maintenance techniques provide a proactive way to reduce such risks. This report provides an extensive analysis of the application of predictive maintenance techniques designed especially for induction motors in the paper industry’s cutting division. The predictive maintenance techniques includes Random Forest Tree, Linear Regression and Support Vector Machines algorithm with these algorithm the Induction Motor’s variations in temperature, vibration, sound, and speed parameters were collected and trained for predicting the failure. Among these algorithms Support Vector Machines shows greater advantage in predicting the failure with the accuracy of 84% whereas Random Forest Tree with 75% and Linear regression with 72%. As well as the real time data’s were collected and stored in the database. The performance of the Induction Motor were efficiently improved and monitored under normal and fault condition by Machine Learning techniques.
The Relationship between Covid-19 and Consumption Patterns of Poor Households
Authors: Putri Resha Moniyana , Wahyudi Heru
Published: October 2024

Objective: This research aims to analyze the relationship between Covid-19 and Consumption Patterns of Poor Households. The phenomenon of the Covid-19 pandemic has caused various social and economic changes. Changes in behaviour and preferences are an important part of the research by emphasizing the analysis of changes in expenditure during the Covid-19 pandemic and post-Covid-19. Method:This research is in the form of quantitative descriptive, the type of data used by researchers is primary data using a questionnaire that refers to the IFLS (Indonesian Family Life Survey) questionnaire. Primary data includes questionnaires and poor people during and postpandemic in 2019 and 2022 in rural and urban areas. The research area includes several village comparisons of Bandar Lampung City, South Lampung Regency, and Pringsewu Regency. The multiple linear methods are performed with the t-test in pairs using the statistical tool Stata.

Results: The results of the study concluded that in the different tests there was no difference in food expenditure during the Covid-19 and post-Covid-19 period, between urban and rural areas, because of the tendency to have both low food expenditures during the pandemic and increase in post- pandemic. The food consumption patterns of the two regions still tend to buy the same staples. There is a difference in non- food expenditures during the rural Covid-19 period is higher because health and urban costs are lower, in the post-Covid-19 rural areas are lower and urban areas are higher.

Conclusion and suggestions: The advice to the government, as cases of the Covid-19 pandemic, rise again, is to focus on providing free health services to the poor, because the expenditure on health services is quite large during the covid-19 pandemic. The government is also expected to be able to provide prolonged food staples to poor households plus complementary ingredients such as fruits, vegetables, milk, meat, and foods with high nutrition and protein.
Measuring The Impact of Human Resources Value in Sudanese Institutions (A field study on a sample of Sudanese institutions)
Authors: Al-Hadi  Ahmed Fatima Ahmed , Mohammed Saad Adiba Abdelbage
Published: October 2024

The study aimed to demonstrate the impact of measuring the value of human resources in Sudanese institutions. The problem was represented by the study showed that the most important elements in the company are the human resource element, which is used for more than one fiscal year as capital expenditures. All expenditures related to human resources are currently treated as revenue expenditures that are used for a period of one fiscal year, taking into consideration the need of investors for information about the value of human resources in institutions. The study tested the impact of measuring the value of human resources in Sudanese institutions. The study relied on the descriptive analytical approach using the Statistical Package for Social Sciences (SPSS). The study concluded that it is difficult to measure and evaluate human assets, which is due to the nature of human resources and the lack of indicators that care about resources and the distinction between capital and revenue expenditures. The study recommended determining the value and cost of human resources based on the historical cost principle, as it is more objective and easier to apply.
Automatisiertes Post-Processing
Authors: Uhlmann Eckart , Polte Julian , Neuwald Tobias , Esser Gero
Published: October 2024

Forschende am Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK entwickeln neue Technologien, um die Wirtschaftlichkeit der Endbearbeitung additiv gefertigter Metallbauteile zu steigern.
Minimierung der Gratbildung
Authors: Siahsarani Armin , Paknejhad Masih , Azarhoushang Bahman , Khakrangin Mehdi
Published: October 2024

Ein Grat ist eine unerwünschte scharfe Kante, die an der Außenseite eines Werkstücks nach dem Fräsen verbleibt. Die Minimierung der Gratbildung verbessert die Genauigkeit der Werkstücke und reduziert den Bedarf an Nachbearbeitungsschritten wie Entgraten oder Polieren. Erläutert werden experimentelle Untersuchungen zur Gratminimierung.
Was wäre wenn?
Authors: Spieker Thomas
Published: October 2024

Kleine Ursache, große Wirkung — so lassen sich viele Zwischenfälle in der Supply-Chain-Welt zusammenfassen, wie etwa bei der Ever Given, die im März 2023 den Suezkanal, das Nadelöhr der Weltwirtschaft, blockierte. Schiffe konnten nicht mehr über das Rote Meer ins Mittelmeer gelangen und mussten kurzfristig um Südafrika fahren.
Unterstützung bei der Einführung von KI in der Produktion
Authors: Rachinger Ben , Thielen Nils , Mayr Andreas , Meier Sven , Franke Jörg
Published: October 2024

Künstliche Intelligenz (KI) bietet erhebliche Potentiale zur Optimierung von Prozessen und Geschäftsmodellen entlang der Wertschöpfungskette von produzierenden Unternehmen. Dennoch zögern viele Betriebe bei der Umsetzung von KI-Projekten.
SOCIAL PROTECTION IN MOROCCO: FROM INSTITUTIONAL GUIDELINES TO NATIONAL REALITIES
Authors: SADKAOUI MOHAMED , BOULGHALAGH MOHAMMED
Published: October 2024

Social protection has been known as a fundamental human right since decades, many organizations across the globe called for a just social protection to preserve human dignity in the worldwide, the international labor organization was the first institution to call for the recognition of that right since its creation in 1919. While multiple institutions have advocated the same determination through laid down strategies and recommendations and reports, the most prominent examples are the United Nations and World Bank Group. Following that path, and inspired by institutional guidelines and directives, Morocco has achieved a considerable level in the field, after adopting the framework law n° 09-21 about social protection in 2021 that expended the concept to cover all segments of society. The implementation of such a system exposes multiple financial and economic challenges that the state must address, in order to reach the intended goals and guarantee the prosperity of the nation.
ALGORITHMIC BIAS IN MEDIA CONTENT DISTRIBUTION AND ITS INFLUENCE ON MEDIA CONSUMPTION: IMPLICATIONS FOR DIVERSITY, EQUITY, AND INCLUSION (DEI)
Authors: OKORONKWO CHIZOROM EBOSIE
Published: October 2024

In today’s digital age, algorithms play a pivotal role in shaping media content distribution, which may possibly influence what content individuals are exposed to. Consequently, this may have implications for diversity, equity, and inclusion (DEI). Hence, this review analyzes algorithmic bias in media material distribution and its impact on media consumption and the implications for diversity, equity, and inclusion (DEI). The study concludes that algorithm bias limits the visibility of underprivileged groups and perpetuates current social injustices, posing serious problems for media distribution. Moreover, there are risks and opportunities associated with the development of artificial intelligence (AI) and machine learning in tackling algorithmic inequities. Furthermore, there is a need for collaborative efforts among different stakeholders (engineers, policymakers, and media platforms) in creating a more inclusive and equitable algorithms in order to ensure that media distribution systems promote fairness and diversity.
Measuring the Level of Digital Financial Literacy Among Generation Y and Z in Indonesia
Authors: Aidil Fadli Jul
Published: October 2024

Digital financial literacy is a new concept that is an important part of financial literacy, especially in the context of Indonesia where the majority of the population is dominated by the younger generation. This study aims to measure the level of digital financial literacy in Generation Z in Indonesia, namely those aged between 17 and 26 years. The results showed that the majority of respondents had a good understanding of digital finance, including their awareness of financial risks, rights as consumers, and their understanding and experience in using various digital financial products. However, understanding of consumer rights and protection in digital financial services still varies. Most respondents felt uninformed about these aspects. On the other hand, adoption of digital payment solutions is very high, reflecting the convenience and widespread acceptance of the technology. However, knowledge about digital asset management products and fintech services related to financing and investment is still limited. These findings indicate that although digital financial literacy has developed, further educational efforts are needed to improve consumer understanding, especially regarding consumer protection and fintech services in financing and investment.
Competências do enfermeiro hospitalar: convergências e divergências de avaliação
Authors: Menegaz Jouhanna do Carmo , Barros Aurilívia Caroline Lima , Oliveira Sebastião Magno , Pontes Dhiuly Anne Fernandes da Silva , Chaves Lucieli Dias Pedreschi , Camelo Silvia Helena Henriques
Published: October 2024

Resumo Objetivo Verificar convergências e divergências entre a autoavaliação de enfermeiros assistenciais e as avaliações de gerentes imediatos na perspectiva de rol de competências profissionais de enfermagem. Métodos Estudo descritivo de abordagem quantitativa. Participaram 58 enfermeiros de um hospital universitário federal da região Norte do Brasil. Os dados foram obtidos utilizando-se dois questionários, um de autoavaliação do profissional e um de avaliação desses profissionais por seus gerentes de enfermagem imediatos. A análise dos dados foi realizada por meio de estatística descritiva, com centralização dos dados no programa Microsoft Excel 2016. Resultados Os enfermeiros adotavam competências profissionais Gerenciais, Assistenciais, Atitudinais e de Ensino. Os grupos Gerenciais e Assistenciais obtiveram maior destaque. Trabalho em Equipe e Supervisão da Equipe foram as competências Gerenciais mais evidenciadas. A maioria das competências identificadas apresentou convergência entre a autoavaliação e a avaliação de desempenho pelos gerentes dos serviços. Educação Permanente e Dimensionamento da Equipe surgiram de forma assimétrica entre as duas modalidades de avaliação. Entre as competências Assistenciais, Sistematização da Assistência de Enfermagem e Raciocínio Clínico foram as mais evidenciadas. As competências Atitudinais foram o grupo com maior divergência entre as avaliações, seguidas da competência Ensino/Preceptoria. Conclusão Evidenciou-se subjetividade nos processos de avaliação e autoavaliação de competências profissionais de enfermagem na instituição estudada, comumente gerando dissonâncias quando realizadas. A maioria das competências identificadas estava nos grupos Gerenciais e Assistenciais, apresentando convergência entre a avaliação de desempenho dos profissionais pelos gerentes dos serviços e sua autoavaliação.
Digital tool for childhood first aid: app for professionals and caregivers
Authors: Pereira Adriana Dall’Asta , Weissheimer Amanda Schneider , Pires Márian Oleques , Rodrigues Junior Luiz Fernando , Marchiori Mara Regina Caino Teixeira , Backes Dirce Stein
Published: October 2024

Abstract Objective To describe the process of developing an app for children first aid support for professionals and caregivers. Methods Technological production study, developed in southern Brazil, between March/2022 and May/2023, based on the functionalities of the scrum method. Designed in cooperation with an interprofessional team, the software was developed based on a set of light and agile practices, the framework called Flutter and the Dart programming language. Results The app, developed in a systematic and participatory way with the participation of health and education professionals and caregivers, demonstrated plausible functionality, accessibility, feasibility and reliability in providing agile and safe information in events such as children’s first aid. Called SOS Kids, the app has an attractive interface, quick access to visual information and various commands on a single screen. The graphic elements are interactive, in order to favor visualization and prospective decision-making. Conclusion The development process of the child first aid support software for professionals and caregivers, based on a method that relies on light and agile practices, proved to be functional and has the potential to support, in an effective and safe way, health professionals, education professionals and caregivers in general.
Tuberculose latente entre pessoas vivendo com HIV e contatos num estado hiperendêmico
Authors: Silva Adriana Leal Gomes da , Sá Antônia Margareth Moita , Santos Dayanne de Nazaré dos , Lima Ingrid Bentes , Corrêa Laíze Rúbia Silva , Nogueira Laura Maria Vidal
Published: October 2024

Resumo Objetivo Avaliar a tuberculose latente entre pessoas vivendo com HIV e contatos de pessoas com tuberculose. Métodos Estudo transversal, quantitativo, realizado no estado do Pará, a partir dos casos de infecção tuberculosa latente notificados entre os anos 2019 e 2020. Os dados foram extraídos do Sistema de Informação de Infecção Latente por Tuberculose, na Secretaria de Estado de Saúde Pública, no período de novembro a dezembro de 2021. Para análise, utilizaram-se a estatística descritiva, o teste qui-quadrado e o teste G, além da razão de prevalência, no Bioestat 5.3, com nível de significância de 5%. Resultados Foram estudados 1.116 casos de tuberculose latente, sendo 653 em 2019 e 463 em 2020. O desfecho indicou baixa proporção de tratamentos completos (n=734). Entre os registros, 371 eram de pessoas vivendo com HIV e 416 contatos de casos de tuberculose. Observou-se associação da infecção latente em pessoas vivendo com HIV e contatos com as variáveis sexo, idade, procedência e situação de encerramento (p<0,0001). Conclusão A tuberculose latente em pessoas vivendo com HIV e contatos apresenta diferentes padrões quando associada ao perfil sociodemográfico, sendo necessário priorizar a identificação desses grupos para a adoção de ações estratégicas que impactem no controle da doença.