bluuebunny/crossref_metadata_2025 huggingface dataset:
Edukasi, Pemeriksaan Kesehatan Dan Pemberian Terapi Akupuntur Untuk Mengatasi Taiyang Dan Yangming Headache Kepada Masyarakat Kelurahan Renon
Authors: Harditya Kadek Buja , Widiatmaja Gusti Panji , Wulansari Nadya Treesna , Damayanti Ida Ayu Manik , Antari Ni Wayan Sukma , Dharmapatni Ni Wayan Kesari , Adiana I Nengah , Strisanti Ida Ayu Suptika
Published: May 2024

Headache merupakan gejala dari suatu gangguan kesehatan yang dirasakan oleh seseorang berupa nyeri kepala dengan berbagai macam sensasi. Headache sering dihadapi masyarakat dan juga diabaikan, hal ini dapat dipengaruhi berbagai faktor seperti kurangnya pengetahuan, kesadaran masalah kesehatan yang dialami dan motivasi masyarakat dalam mencari informasi dan cara penangananya. Tujuan dari pengabdian masyarakat yang dilakukan adalah untuk meningkatkan pengetahuan masyarakat dan meningkatkan kemandirian kesehatan masyarakat dalam penanganan headache dengan akupuntur terapi. Metode yang digunakan yaitu pendekatan personal berupa edukasi dan pembagian kuisioner pengetahuan sebelum dan sesudah materi edukasi serta pemberian terapi akupuntur yang dihadiri sebanyak 103 peserta. Hasil pengabdian menunjukkan sebagian besar peserta memiliki diagnosis taiyang headache sebanyak 64 peserta (62,1%), pengetahuan yang baik pada pretest sebanyak 72 peserta (69,9%), sedangkan hasil post tes menunjukkan adanya peningkatan jumlah pengetahuan dan mayoritas memiliki pengetahuan yang baik sebanyak 86 peserta (83,4%) serta adanya perbedaan yang signifikan terhadap tingkat pengetahuan peserta sebelum diberikan edukasi (M=80.27, SD=23.62) dan setelah diberikan edukasi (M=96,13, SD=18,43), p<0. Pemberian edukasi dan pemeriksaan kesehatan ini sangat bermanfaat bagi masyarakat untuk mengetahui tentang akupuntur dan masalah kesehatan taiyang dan yangming headache. Peningkatan pengetahuan diharapkan dapat meningkatkan kepedulian dan kemandirian tentang kesehatan di masyarakat serta motivasi perubahan perilaku pola hidup sehat.
 
Kata kunci : Akupunktur, Diagnosis, Headache
Light on the sustainable preparation of aryl-cored dibromides
Authors: Roncaglia Fabrizio , Ughetti Alberto , Porcelli Nicola , Anderlini Biagio , Severini Andrea , Rigamonti Luca
Published: May 2024

Both aryl and benzyl polybromides have gained significant importance as reactive building blocks in polymer and materials chemistry. Their preparation primarily relies on established synthetic methods using molecular bromine or N-bromosuccinimide, known for their reliability and effectiveness. However, from a sustainability perspective, these methods suffer from the generation of stoichiometric amounts of byproducts and often encounter selectivity troubles. To mitigate these issues, we extended the greener peroxide-bromide halogenation method, initially developed for monobromides, to afford aryl-cored polybromides in high yields. The same method can be employed in two variants modulated by light irradiation. This external switch can be used to selectively trigger side-chain or core halogenation.
Assessing the Role of Advertising and Sales Promotion on Brand Equity
Authors: Jose Leroy Muandumba
Published: May 2024

The study investigates the role of advertising and sales promotion on brand equity. An identical number of questionnaires were administered for the study of which 269 were accurately completed and returned. Descriptive analysis was carried out and the Statistical Package for Social Science was used to test the study’s hypothesis. Structural equation modelling (SEM) has been used to test the measurement and structural models. Advertising spends has a positive effect on brand loyalty and perceived quality and which are significant. More so, the advertising spends has a positive effect on band association, but insignificant. On the contrary, the advertising spends showed a negative effect on the perceived quality. Likewise, Attitudes toward advertisements have a negative effect on perceived quality, brand awareness and brand loyalty and significant. However, the Attitudes toward advertisements had a positive effect on brand association and significant. Monetary promotions have a positive effect on perceived quality and brand loyalty and significant. Also, monetary promotions had a negative association with brand association and brand awareness and significant. There is a positive effect of non-monetary promotions on brand associations and brand awareness and significant. However, non-monetary promotions positively influence perceived quality and brand loyalty but not significant.
Succession Planning and the Sustainability of Gaming Companies in Nigeria
Authors: Olabisi I. Dominic , Abidemi Soladoye , Nasamu Gambo , Hauwa Lamino Abubakar
Published: May 2024

Organisations throughout the world are founded to remain in existence forever. This is particularly typical of incorporated businesses, which are primarily distinguished by their eternal life. Few studies on succession planning have focused on small and medium-sized companies, with less emphasis paid to larger businesses, especially foreign-backed businesses as seen in the gaming industry. As a result, there is a knowledge gap in succession-planning lingo. The purpose of this research is to investigate the impact of succession planning on the sustainability of gaming enterprises in Nigeria. For this paper, a survey design was used. The study's population was 434 employees of gaming enterprises located in Lagos. Yamane's (1967) sampling algorithm was used to pick a representative sample from the general community, and primary data was collected using a structured questionnaire tailored to the study and validated. The Cronbach's alpha coefficients for the questionnaire varied from 0.850 to 0.775, with a rate of acceptance of 92.20%, and the data was analysed using descriptive and inferential statistics. According to the data analysis, succession planning had a significant effect on gaming business sustainability (R= 0.833a, R2 = 0.693, Adj. R2 = 0.691, F (298.475); p.000. Among the predictors, Career Development has a substantial impact, with a coefficient of 0.612 and a high level of statistical significance (p = 0.000), indicating that for each unit increase in Career Development, Business Profitability is expected to increase by 0.612 units. Similarly, Strategic Staffing and Performance Management Systems also show significant positive effects on Business Profitability, with coefficients of 0.089 (p = 0.001) and 0.222 (p = 0.000) respectively. These findings suggest that improvements in Career Development, Strategic Staffing, and Performance Management Systems are associated with higher Business Profitability. The researcher suggests that succession planning is crucial for the sustainability of gaming companies, ensuring adequate career progression and development for employees.
Condiciones laborales de Personas Trans en la ciudad de Cuenca, como resultado de la pandemia COVID 19, durante el período marzo-julio 2020
Authors: Mejía Cabrera Daniel Santiago
Published: May 2024

El presente trabajo de investigación visibiliza la transformación de las condiciones laborales de Personas Trans en la ciudad de Cuenca, como resultado de la pandemia por COVID-19, durante el período marzo – julio 2020. Se toma como perspectiva de análisis, el aporte crítico de las teorías feministas con los enfoques de género y derechos humanos. La metodología empleada para conocer los factores de riesgo, y los factores de protección en torno al derecho al trabajo, fue un estudio con enfoque cualitativo, aplicando entrevistas a profundidad con actores clave. Las personas participantes del estudio fueron Mujeres Trans, mayores de edad, que radican en la ciudad de Cuenca y que han estado inmersas en diferentes actividades económicas en los últimos dos años. Entre los resultados se describe que, los principales factores de riesgo, son la exclusión y limitación de oportunidades por identidad de género, la discriminación, la violencia, la falta de seguridad social y de estabilidad laboral. Entre los factores de riesgo que se agravaron con la presencia de la pandemia en el área laboral, se encontraron que, las situaciones y percepción de inseguridad aumentaron, se conoció sobre la agudización de la presencia de mafias de narcotráfico y explotación sexual, el nivel de ingresos económicos disminuyó a cifras alarmantes comprometiendo la subsistencia de algunas Mujeres Trans. Se evidenció que las Mujeres Trans no confían en la normativa vigente, en la atención de las autoridades, ni en la policía como ente rector de justicia y protección de su integridad y dignidad; sin embargo, se identificaron factores de protección individuales, colectivos e institucionales, a saber: valores de resiliencia, redes de solidaridad y un soporte organizativo de colectivos y organizaciones GLBTI y de mujeres.
SINAIS, SINTOMAS E DIAGNÓSTICO DE GRAVIDEZ:
AVALIAÇÃO FÍSICA E OBSTÉTRICA
Authors: Orvalho Ana , Figueiredo Carolina , Frias Ana
Published: May 2024

O diagnóstico precoce de uma gestação é essencial para que haja uma assistência pré-natal de qualidade. Este diagnóstico pode ser baseado em dados clínicos, como a anamnese e o exame físico, e em testes laboratoriais, permitindo a promoção da saúde materno-fetal e a correta identificação da idade gestacional, que é um dado fundamental para situações clínicas e obstétricas ao longo da gestação.A avaliação clínica de sinais e sintomas fornece dados iniciais acerca do grau de probabilidade de haver uma gestação, podendo existir necessidade de complementá-la com diagnósticos adicionais. Estes sinais e sintomas podem ser classificados como sinais de presunção, sinais de probabilidade e sinais de certeza de gestação.O Enfermeiro Especialista em Enfermagem de Saúde Materna e Obstétrica (EEESMO) é responsável pela assistência à grávida, atuando nos vários estádios da vida reprodutiva, nomeadamente durante a gestação.
The Students’ Confession toward Common English Classroom Expressions
Authors: Hasby Muhammad , Supraba Ardhy , Indah Opik Dwi
Published: May 2024

This research aims to find out the students’ confession toward common English classroom expressions. The population of this research is the third-year students of Senior High School 10 Luwu in academic year 2022/2023. The sample of this research is selected through purposive sampling technique. One class represented as the sample that is class XII Exact 1. Questionnaire was used as the instrument of this research. The result of this research shows that the students’ confession toward common English classroom expressions gained very positive confession. It revealed most students stated that the material about common English classroom expressions is very effective for the improvement of their English. In other words, most of them confessed that common English classroom expression could improve and develop their English. Finally, the researcher concluded that common English classroom expressions are good material especially for improving the students’ English competence.
Translation Methods Used in Preface of English Textbook
Authors: Fikri Abdul , Roza Veni
Published: May 2024

Translation plays a vital role in modern world. By the aid translation, people are able to overcome communication boundaries. Translating English textbook is one of the applications of translation. This research is descriptive qualitative research which aims to describe translation methods used by author in translating preface of Work in Progress English textbook. The researcher classified the data by using the theory of Newmark, (1988) which divided translation method into eight categories. This research reveals that the translation methods used in translating English textbook are free, semantic, faithful, communicative, and literal translation. The highest frequency of translation method used by the author in translating preface is free and semantic translation. The lowest frequency is literal translation.
Investigation of the Relationship Between Exercise Barriers, Quality of Life, Physical Performance, and Range of Motion in Patients with Total Hip Arthroplasty
Authors: Uysal İsmail , Özden Fatih , Tümtürk İsmet , Özkeskin Mehmet , Özyer Fatih
Published: May 2024

Aim: This study aimed to demonstrate the relationship between exercise barriers-benefits with joint range of motion (ROM), quality of life, and physical performance in individuals with total hip arthroplasty (THA).
Material and Method: A cross-sectional observational study was conducted with fifty older individuals with THA. Patients were evaluated with the 5-Times Sit and Stand Test (5TSTS), Exercise Benefits and Barriers Scale (EBBS), and EuroQol (EQ-5D-5L) Quality of Life Scale. In addition, the patient's active ROM was measured with a universal goniometer.
Results: There was a significant low correlation between body mass index (BMI) and EBBS-Benefits sub-score (r=-0.286 p
The Relationship Between Pain Intensity, Pain Beliefs, and Emotion Regulation Skills in Non-Surgical Spinal Pathology Pain
Authors: Koç Apaydın Zuhal , Demir Nefise , Apaydın Aydın Sinan
Published: May 2024

Aim: Chronic pain, particularly spinal pain, presents a significant health concern globally. This study aims to investigate the interplay between pain beliefs, emotion regulation strategies, and pain severity in individuals with complaints of spinal pain.
Material and Method: A sample of 100 participants presenting with back and neck pain, without indications for surgery, completed measures assessing pain beliefs, emotion regulation strategies, and pain severity.
Results: Results indicated that individuals with higher levels of psychological pain beliefs reported lower pain severity, while those employing maladaptive emotion regulation strategies experienced greater pain severity.
Conclusion: These findings underscore the importance of considering psychological factors in pain management and highlight the potential utility of targeting emotion regulation strategies in clinical interventions. Future research should further explore the impact of pain beliefs and emotion regulation on treatment outcomes and the pain experience, providing valuable insights for enhancing pain management approaches.
One-part geopolymer binder based on boron wastes: Effects of calcination temperature and NaOH dosage on strength and microstructure
Authors: Kızıltepe Cavit Çağatay , Yüksel İsa , Aydın Serdar
Published: May 2024

Boron Enterprise Facilities are located Kütahya-Emet, Eskişehir- Kırka and Balıkesir-Bigadiç regions in Türkiye. Waste materials containing a sum of boron (15-20%) occur during boron beneficiation with different mining procedures. Boron mine wastes are not evaluated completely in any sector. In the scope of this study, boron mine wastes from Kırka Boron Enterprise Facility were used as raw material in the production of one-part geopolymer binder by alkali fusion method. The effect of sodium hydroxide dosage (%4, %6, %8 and %10) and calcination temperature (600 °C, 650 °C and 700 °C for 4h) on compressive strength and microstructure was investigated. Test results showed that one-part geopolymer binder can be produced from boron wastes using alkali fusion method. The highest compressive strength of 29,1 MPa was obtained by using 4% NH and calcination at 650 C for 4h. Furthermore, the formation of new crystalline phases in geopolymer binders at higher calcination temperature caused a decrease in compressive strength values. The main reaction product of the one-part geopolymer based on boron wastes is Mg and Na incorporated C-(Mg, Na)S-H structure.
AN ACCURATE NUMERICAL SCHEME FOR THREE-DIMENSIONAL VARIABLE-ORDER TIME-FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS IN TWO TYPES OF SPACE DOMAINS
Authors: Dehestani Haniye , Ordokhani Yadollah , Razzaghi Mohsen
Published: May 2024

We consider the discretization method for solving three-dimensional variable-order (3D-VO) time-fractional partial differential equations. The proposed method is developed based on discrete shifted Hahn polynomials (DSHPs) and their operational matrices. In the process of method implementation, the modified operational matrix (MOM) and complement vector (CV) of integration and pseudooperational matrix (POM) of VO fractional derivative plays an important role in the accuracy of the method. Further, we discuss the error of the approximate solution. At last, the methodology is validated by well test examples in two types of space domains. In order to evaluate the accuracy and applicability of the approach, the results are compared with other methods.
Review of the genera Glabromantis, Paraoxypilus and Phthersigena (Mantodea: Nanomantidae: Fulciniinae)
Authors: Milledge Graham A.
Published: May 2024

Three genera of the mantis subfamily Fulciniinae (Mantodea: Nanomantidae: Fuliciniinae) are revised. In the genus Glabromantis two species are recognized, in Paraoxypilus five species and in Phthersigena one species is recognized. The genus Myrmecomantis is synonymized with Paraoxypilus. Paraoxypilus laticollis is a new synonym of P. kimberleyensis. P. distinctus and P. flavifemur are new synonyms of P. tasmaniensis. Phthersigena centralis, Phthersigena insularis, Phthersigena minor, Phthersigena timorensis and Paraoxypilus insularis are new synonyms of Phthersigena conspersa. Glabromantis melania is a new synonym of Glabromantis nebulosa and Glabromantis pallidifemur is a new synonym of Glabromantis unicornis.
A replacement name for the endemic Rattus (Muridae, Mammalia) of the island of Obi, Indonesia
Authors: Fabre Pierre-Henri , Portela Miguez Roberto , Holden Mary Ellen , Fitriana Yuli S. , Semiadi Gono , Musser Guy G. , Helgen Kristofer M.
Published: May 2024

The name Rattus obiensis Fabre, Portela Miguez, Holden, Fitriana, Semiadi, Musser, & Helgen, was recently applied to a newly discovered species of Rattus known to date only from the Moluccan island of Obi in Indonesia. However, this name is preoccupied by Rattus rattus obiensis Sody, 1941, a name applied to a commensal rat and currently recognized as a synonym of Rattus tanezumi Temminck, 1844. A replacement name, Rattus ombirah Fabre et al., 2024. nom. nov., is here proposed for the endemic Rattus of Obi.
A non-native fish species reaches the south-western European waters: the Atlantic croaker, Micropogonias undulatus (Acanthuriformes, Sciaenidae) and its invasion history in Europe
Authors: de Carvalho-Souza Gustavo , Gómez Cristóbal , González-Ortegón Enrique
Published: May 2024

The Atlantic croaker Micropogonias undulatus, a sciaenid fish native to the North Atlantic American coast, holds importance in recreational and commercial fisheries. Moreover, its potential as an invasive species should be noted, given its expansion and establishment in Atlantic European waters. This study reports its southernmost occurrence in Europe, in the Gulf of Cadiz. Morphological and molecular analysis confirmed its identity, revealing genetic similarities to US sequences. A comprehensive review of historical non-native distribution records underscored the species' expansion throughout European waters, suggesting human-mediated introduction. The escalating frequency of such arrivals emphasises the critical need for effective monitoring and management efforts in order to control non-native species in this region.
Pyridostigmine induced symptomatic bradycardia in a patient with atonic bladder
Authors: Kolev Zh. , Topalov D. , Angelov A. , Ilieva Zh.
Published: May 2024

Drug induced bradycardia is a frequent reason for hospitalization in cardiology clinic. Knowing the causes of this type of bradycardia is important for the proper management of these patients. Pyridostigmine bromide is an indirect parasympathomimetic drug, inhibitor of the cholinesterase enzyme. Pyridostigmine decrease the breakdown of acetylcholine, which is the natural neurotransmitter of the electrical impulses send by the somatic and parasympathetic nervous systems. Despite its relative safety and effectiveness, in rare cases there have been reports of conduction disturbances of the heart. In this clinical case report, we present a patient with atonic bladder treated with pyridostigmine. The patient developed a rare adverse reaction of the drug with an induced second-degree аtrioventricular block 2:1 type. The bradycardia caused pronounced symptoms which forced hospitalization in intensive cardiology clinic.
Acceptance factors of telemedicine in times of COVID-19: Case Argentina
Authors: Schlottke Jorge Anibal , Alvarez-Risco Aldo , Bertiche Ezequiel Leandro , López Rocío Belén , Torletti Carla Vanesa , del Hoyo Facundo Yamil , Del-Aguila-Arcentales Shyla , Mejia Christian R. , Rojas-Osorio Mercedes , Davies Neal M. , Yáñez Jaime A.
Published: May 2024

We performed an analytical, cross-sectional study of 285 consumers to assess the influence of social influence, resistance to use, facilitators to use, perceived ease of use and perceived usefulness of telemedicine on the intention to use telemedicine of citizens of Argentina in times of the pandemic by COVID-19. The proposed research model was analyzed using partial least square structural equation modeling (PLS-SEM). Perceived ease of use had a positive effect (0.624) on perceived usefulness; facilitating conditions had a positive effect (0.476) on usage intention; perceived risk (-0.062) and social influence (0.072) did not have an effect on usage intention. Bootstrapping showed that the beta coefficients were statistically significant. The outcomes may provide ideas to healthcare managers to know what an expectation about telemedicine is and develop new services directed to patients.
Biophenolic compounds and metal ions associated with the antioxidant and antibacterial activity of the ethanolic extract of Heliotropium arborescens L. leaves from the Andean region of Ayacucho-Peru
Authors: Alvarado Angel T. , Chávez Haydee , García Jorge A. , Bendezú María R. , Surco-Laos Felipe , Molina-Cabrera Aura , Laos-Anchante Doris , Vega-Ramos Nelly , Palomino-Jhong Juan J. , Yarasca-Carlos Paulina Eliades , Loja-Herrera Berta , Pineda-Pérez Mario , Bolarte-Arteaga Mario
Published: May 2024

Heliotropium arborescens (Galán de Mera et al. 2022) is a herbaceous plant that contains various biophenolic compounds that exhibit antibacterial property and antioxidant activity that could prevent diseases caused by free radicals. The objective was to study the biophenolic compounds and metal ions associated with the in vitro antioxidant and antibacterial activity of the ethanolic extract of Heliotropium arborescens L. leaves from the Andean region of Ayacucho-Peru. The total polyphenolic content (TPC) was determined by the Folin-Ciocalteu method; Total flavonoid content (TFC) was determined by spectrophotometry at 510 nm, TFC was expressed in mg quercetin/g sample (mg QE/g). Antioxidant activity by three in vitro methods; determination of metals by flame atomic absorption spectrophotometry (FAAS) and antibacterial activity by agar diffusion method. The values ​​obtained from the TPC were 306.80±0.05 mg GAE/g, TFC 111.53±0.25 mg QE/g. Antioxidant activity: DPPH IC50 37.55±0.04 µL and 65.64±0.10 µL, at 0.47 and 0.93 mg/mL extract, respectively; ABTS 0.20±0.01 mM TEAC/g (0.41 mg/mL extract) and 0.47±0.01 (0.82 mg/mL extract); FRAP 0.24±0.01 mM TEAC/g (0.94 mg/mL extract) and 0.46±0.02 mM TEAC/g (1.88 mg/mL extract). Correlation relationship TFC/DPPH (r=0.9994; R2 0.9989), TFC/ABTS (r = 0.9572; R2 0.9998) and TFC/FRAP (r = 09933; R2 0.9868). Calcium 1.22±0.04, copper 0.77±0.05, magnesium 851.7±3.06 and zinc 20.63±1.19 mg/100 g were found in all cases. Antibacterial activity on Bacillus subtilis (ATCC 6633) and Staphylococcus aureus (ATCC 25923) with a minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) > 400 μg/mL. It is concluded that the total biophenolic components and metals of the ethanolic extract of the leaves of H. arborescens L. show potential antioxidant activity, and moderate antibacterial activity against Bacillus subtilis and Staphylococcus aureus.

Graphical abstract:
A novel and efficient multi-scale feature extraction method for EEG classification
Authors: Lu Ziling , Wang Jian
Published: May 2024

Electroencephalography (EEG) is essential for diagnosing neurological disorders such as epilepsy. This paper introduces a novel approach that employs the Allen-Cahn (AC) energy function for the extraction of nonlinear features. Drawing on the concept of multifractals, this method facilitates the acquisition of features across multi-scale. Features extracted by our method are combined with a support vector machine (SVM) to create the AC-SVM classifier. By incorporating additional measures such as Kolmogorov complexity, Shannon entropy, and Higuchi's Hurst exponent, we further developed the AC-MC-SVM classifier. Both classifiers demonstrate excellent performance in classifying epilepsy conditions. The AC-SVM classifier achieves 89.97% accuracy, 94.17% sensitivity, and 89.95% specificity, while the AC-MC-SVM reaches 97.19%, 97.96%, and 94.61%, respectively. Furthermore, our proposed method significantly reduces computational costs and demonstrates substantial potential as a tool for analyzing medical signals.
Double fuzzy $ \alpha $-$ \eth $-continuous multifunctions
Authors: Abu_Shugair M. N. , Abdallah A. A. , Abbas S. E. , Ibedou Ismail
Published: May 2024

Various types of double fuzzy continuity of fuzzy multifunctions are introduced in this paper. These types are double fuzzy upper and lower $ \alpha $-$ \eth $-continuous, almost $ \alpha $-$ \eth $-continuous, weakly $ \alpha $-$ \eth $-continuous and almost weakly $ \alpha $-$ \eth $-continuous multifunctions. Double fuzzy ideals are playing the main role in defining these types of continuous multifunctions. All implications associated with these types are ensured; also, many examples are introduced to illustrate these implications, and to explain the advantages of these new types of continuity for some previous definitions.
Proximity algorithms for the $ {\mathit{L}}^{1}{\mathit{L}}^{2}/{\mathit{T}\mathit{V}}^{\mathit{\alpha }} $ image denoising model
Authors: Zhao Donghong , Huang Ruiying , Feng Li
Published: May 2024

Inspired by the ROF model and the $ {L}^{1}/TV $ image denoising model, we propose a combined model to remove Gaussian noise and salt-and-pepper noise simultaneously. This model combines the $ {L}^{1} $ -data fidelity term, $ {L}^{2} $ -data fidelity term and a fractional-order total variation regularization term, and is termed the $ {L}^{1}{L}^{2}/{TV}^{\alpha } $ model. We have used the proximity algorithm to solve the proposed model. Through this method, the non-differentiable term is solved by using the fixed-point equations of the proximity operator. The numerical experiments show that the proposed model can effectively remove Gaussian noise and salt and pepper noise through implementation of the proximity algorithm. As we varied the fractional order $ \alpha $ from 0.8 to 1.9 in increments of 0.1, we observed that different images correspond to different optimal values of α.
On linear transformation of generalized affine fractal interpolation function
Authors: Attia Najmeddine , Amami Rim
Published: May 2024

In this work, we investigate a class of generalized affine fractal interpolation functions (FIF) with variable parameters, where ordinate scaling is substituted by a real-valued control function. Let $ {\mathcal S} $ be an iterated function system (IFS) with the attractor $ G_\Delta $, where $ \Delta $ is a given data set. We consider an affine transformation $ \omega(\Delta) $ of $ \Delta $, and we define the IFS $ \hat {\mathcal S} $ with the attractor $ G_{\omega(\Delta)} $. We give a sufficient condition so that $ G_{\omega(\Delta)} = \omega(G_\Delta) $. In addition, we compare the definite integrals of the corresponding FIF and study the additivity property. Some examples will be given, highlighting the effectiveness of our results.
Attitudes of Secondary Technical School Students towards Their Choice of Educational Path
Authors: Serafín Čestmír , Mrázek Michal , Sedláček Michal
Published: May 2024

This paper addresses the challenges regarding the choice of educational pathway for an adolescent from primary to secondary education. The aim is to highlight comparative differences in student decision-making when choosing a technically oriented study program. One sub objective is to emphasise the evolving preferences and roles of students in the decisionmaking process. The introduction provides the reader with a definition of decision-making processes and the choice of an educational pathway in the context of the Czech Republic. The following chapters present the main findings of the study. In Chapter 4, the risks associated with choosing a study path are presented, and the transition to the research part of the article is smooth. Three research hypotheses were defined to conduct the research. The study was conducted using a specifically designed non-standardised questionnaire. Details of the questionnaire design and the sample for the new research are provided. Subsections 4.3–4.6 present an overview of the results from the confirmatory and exploratory analyses. The discussion and conclusion summarise the results within a broader professional context. The primary findings indicate that students seem to be more independent in selecting technical schools. Students most often consider three criteria when making their choice: 1. the prospect of a career as a technician or a professional; 2. professional advantages in the job market; and 3. interest in the field and its study. We also present one of the possible correlation models of students’ personal preferences when choosing a secondary technical school.
Predicting Global Education Quality: A Comprehensive Machine Learning Approach Using World Bank Data
Authors: El Hatimi Rabab , Choukhan Cherifa Fatima , Moussaid Abdellatif , Esghir Mustapha
Published: May 2024

This paper introduces an innovative approach to predicting the quality of education on a global scale. It leverages a comprehensive dataset spanning multiple years and countries from the World Bank. Our methodology involves two key steps: first, unsupervised clustering using the K-means model to categorize countries based on their educational quality levels; and second, employing supervised classification techniques to develop a predictive model. Through training and optimizing various machine learning (ML) algorithms, we aim to identify the most accurate model for predicting education quality. The outcomes highlight the efficacy of our approach, with the KNN algorithm demonstrating superior performance after hyperparameter optimization. It achieved precision, recall, accuracy, and AUC values of 0.9740, 0.9721, 0.9711, and 0.9959, respectively. These findings provide valuable insights for policymakers, educational institutions, and researchers, helping to identify areas that require attention and to design targeted interventions.
The Gesta Guillelmi of William of Poitiers: The Dynamics of a Failed Publication
Authors: Leinonen Lauri
Published: May 2024

This article explores William of Poitiers’ Gesta Guillelmi for its failed manuscript transmission. In spite of possessing various advantages, literary and social, the work found very few readers and was soon forgotten. It is proposed that the transmission relied on, or consisted of, an untidy autograph, lost in the eighteenth century. According to Orderic Vitalis, William did not complete the work due to “unfavourable circumstances”, probably related to the latter’s connection to the Conqueror. The essay contributes to two burgeoning scholarly discussions, on authorial publishing and on why some works failed to find readers.
Fraud in Insurance and the Application of Artificial Intelligence (AI) in Preventing Fraud
Authors: Singh Dharmendra , Al Mamari Rasha Ahmed , Al-Zadjali Amal Khalil , Al Ansari Omar AbdulAziz
Published: May 2024

This research investigates insurance fraud, with a specific focus on the role of artificial intelligence (AI) in detection and prevention. It begins by defining key terms and providing an overview of insurance fraud. The study recognizes the global significance of insurance fraud in various insurance lines and the limitations of traditional fraud prevention methods. The research underscores the importance of clear legal frameworks and consistent enforcement in deterring insurance fraud. While previous research has acknowledged the potential of technology in fraud prevention, this study delves deeper into the application of AI. In summary, this research underscores the critical importance of addressing insurance fraud comprehensively and highlights the potential of AI as a powerful tool in safeguarding the integrity of the insurance industry, protecting policyholders, and mitigating the broader economic impact of fraud.
Impact of Social Media Influencer Credibility on M-Banking Acceptance
Authors: Arora Prerna , Rupali  , Sharma Natasha , Singh Anurupa Bagchi
Published: May 2024

Mobile banking is a new form of payment service that aims to acquire the underserved market of prospective mobile banking consumers. Social media influencers are used as a means of disseminating ideas through social media. However, the influence of financial literacy is still not known. This study aims to examine the impact of influencer credentials on mobile banking acceptance. The results demonstrate that influencer reliability has a significant favourable impact on m-banking acceptability as evaluated by attention, interest, desire, and action depicting the cognitive stages of mobile bank acceptance as well as the moderating effect of financial knowledge on this relationship. The results indicate that financial literacy plays a notably positive role in the acceptance of mobile banking. Therefore, it is crucial to scrutinize how financial literacy influences the influencer's credibility on the adoption of mobile banks, providing a nuanced perspective on the intricate relationship between online influence and financial decision-making.
Multidimensional Perspective to Data Preprocessing for Model Cognition Verity
Authors: Ajakwe Simeon Okechukwu , Deji-Oloruntoba Opeyemi , Olatunbosun Samuel O. , Duorinaah Francis Xavier , Bayode Israel A.
Published: May 2024

Reliable data analysis depends on effective data preparation, especially since AI-driven business intelligence depends on unbiased and error-free data for decision-making. However, developing a reliable dataset is a difficult task that requires expertise. Due to the costly damage a negligible error in data can cause to a system, a good understanding of the processes of quality data transformation is necessary. Data varies in properties, which determines how it is generated, the errors in it, and the transformations it needs to undergo before it is fed into a model. Also, most data used for analytics is sourced from public stores without means to verify its quality or what further steps need to be taken in preprocessing it for optimal performance. This chapter provides a detailed description of practical and scientific procedures to generate and develop quality data for different models and scenarios. Also, it highlights the tools and techniques to clean and prepare data for optimal performance and prevent unreliable data analytics outcomes.
Machine Learning and Emotions
Authors: Orduño-Osuna Jesús Heriberto , Raygoza L. María E. , Jiménez-Sánchez Roxana , Limón-Molina Guillermo M. , Murrieta-Rico Fabian N.
Published: May 2024

This chapter immerses the reader in the world of emotion recognition, revealing its revolutionary potential through machine learning techniques. From affective computing to sentiment analysis, human-computer interaction to healthcare, this technology has a vast array of practical uses. This journey, therefore, sets out to explore the many possibilities and obstacles in the progression of emotion recognition. Key areas include cross-cultural sensitivity, context-specific recognition, ethical concerns, developing a comprehensive emotional taxonomy, real-time capabilities, and the incorporation of multiple modes of detection. The chapter provides insights into future research opportunities, underscoring the importance of culturally sensitive, ethically sound, and comprehensive emotion recognition systems. By addressing these considerations, this chapter looks to contribute to the ongoing evolution of machine learning and emotions, laying the foundation for more robust and diverse real-world applications.
Deep Learning for Emotion Detection in Speech
Authors: Bhaal Nipurn , Usha G. , Verma Ananya , Aruna S.
Published: May 2024

This chapter delves into the pivotal role of deep learning-based emotion detection in speech, shaping human-computer interactions. The authors guide readers through crucial stages, encompassing data collection, preprocessing, feature extraction, model architecture selection, and performance evaluation. Exploring diverse deep learning architectures like CNNs, RNNs, and CRNNs, the chapter highlights their efficacy in decoding sequential speech patterns. Practical aspects, including fine-tuning parameters and real-time optimization, enhance efficiency. Ethical considerations, addressing privacy and data biases, ensure responsible deployment. Real-world applications spanning human-computer interaction, customer service, and mental health underscore the transformative impact of deep learning in daily life. This chapter offers a comprehensive exploration of applying deep learning techniques to analyze emotions in speech, catering to researchers and practitioners alike.
Multifunctional and Multistandard Compact Antenna Design Using Hybridization of Fractals and Artificial Neural Network
Authors: Kaur Manpreet
Published: May 2024

Specified wireless communication techniques and tools are employed to transfer useful information among multiple users. This chapter reveals a comprehensive analysis of a unique multi-standard hybrid fractal antenna designed by exploiting the advantages of distinct fractal geometries. In this work, a novel hybrid fractal design is produced by iterating two specific fractal patterns consecutively. One pattern is applied at the boundary of the structure, and the other pattern is applied at the inner portion. The designed structure exhibits an area of 32 x 32 mm2. On the back-side, a reduced ground plane of area 15 x 32 mm2 is placed. Based on few geometric parameters, FR4 epoxy material is selected. The design evolution of the sophisticated structure is revealed step by step in the chapter. The geometrical construction of a resultant antenna begins with a square patch of sidelength 26 mm. Same procedure is followed further, and the suggested radiator adopts three iterations. The microstrip feed is located at the point that is computed using artificial neural network. Results demonstrate that the resonances appear at 10.68, 14.31, 17.34, 20.47, 24.26, and 28.65 GHz. At the respective resonances, the related S11 value is -18.03, -14.67, -22.86, -25.66, -54.10, and -13.36 dB. The reported -10 dB impedance bandwidth at the respective bands is 650, 2060, 6040, 2220, and 1300 MHz. The frequency points are precisely controlled. The achieved gain values are admirable. For better understanding, surface current distribution is also illustrated that describes radiation behavior of an antenna.
Challenges and Future Prospects of Intelligent Decision Making
Authors: Shaikh Heena Irfan , Mirza Imran Baig
Published: May 2024

Data analytics, AI, and machine learning are driving intelligent decision making, which is becoming more and more important across a range of industries, including technology, business, and healthcare. This chapter explores the challenges faced in intelligent decision making and discusses the promising prospects that lie ahead in the realm of data-driven, intelligent decision support systems. To overcome the challenges facing IDM, it is important that the data used to train and implement IDM systems needs to be carefully curated and cleaned. Despite the challenges, the future prospects for IDM are very bright. As IDM systems continue to improve and become more widely adopted, they have the potential to improve decision-making, automate routine decision-making tasks, augment human decision-making, etc. We can make sure that IDM systems are used to improve the world by addressing these issues.
Ethnobotanical assessment of medicinal plants in Trans-Himalaya of Nepal
Authors: Adhikari D. , Timilsina S. , Miya M. S. , Prasai R. , Pageni B. D. B. G.C. , Thapa R. , Bhandari J.
Published: May 2024

Nepal harbors many ethnomedicinal plants distributed throughout the country’s diverse geography. It is crucial to document plants’ ethnobotanical knowledge for further research and conservation. This study aimed to conduct a quantitative ethnobotanical analysis of the medicinal plants used in the Varagung Muktichhetra Rural Municipality of Mustang District, Nepal. Data were collected through a household survey (N = 101), using snowball sampling with 40% sampling intensity, 12 Key Informant Interviews (KIIs), and two Focus Group Discussions (FGDs). The data was analyzed using different quantitative tools: Informant consensus factor (Fic), Fidelity Level (FL), and Use Values (UV). A total of 54 medicinal plants belonging to 32 families were documented, which were used to treat 40 different ailments. The family Asteraceae represented the maximum number of plants being used. Herbs were most frequently used (59%), and root (n =10) was the most used plant part. Neopicrorhiza scrophulariiflora was the most frequently used and preferred species (FL = 65% and UV = 0.62). Fever (Fic = 0.88) and gastrointestinal disorder (Fic = 0.86) were the major ailment categories treated. Oral (76%) was the main route of administration of medicines in the body, and the most used form of medicine preparation was paste (46%). Unsustainable harvesting, illegal collection, and forest fire were the major threats to medicinal plants and were highly significant after applying the non-parametric Friedman test. Enactment of a policy that focuses on conservation, sustainable harvesting, and domestication of highly valued medicinal plants is recommended to policymakers.
A snapshot of alien cyanobacteria found in northeastern European freshwaters - Lithuania case
Authors: Šuikaitė Izabelė , Karosienė Jūratė , Koreivienė Judita
Published: May 2024

In recent years, cyanobacterial invasions have increased in European temperate lakes. Climate warming is highlighted as a key driver of the distribution and establishment of alien cyanobacteria, and water bodies in poor ecological status, characterized by meso-eutrophic conditions, are underlined as a suitable habitat for invasion. The establishment of newly arrived species is directly related to fluctuating physicochemical factors such as temperature, and nutrient concentrations, especially phosphorus and nitrogen, or biotic factors such as competition. Cyanobacterial invasions can have profound ecological impacts, such as displacing native species, causing the biodiversity loss of local communities, and modifying the ecosystem’s cyanotoxins profile. This study presents the occurrence of four alien bloom-forming potentially toxic cyanobacteria - Chrysosporum bergii, Cuspidothrix isstaschenkoi, Raphidiopsis raciborskii and Sphaerospermopsis aphanizomenoides - in the northern parts of their current range in temperate Europe and provides insights into their ecology. Special attention was paid to the lakes of Lithuania (Simnas, Jieznas and Gineitiškės), which is the northernmost location of distribution zone for some alien cyanobacteria and provides as a dispersion route to Norther Europe via the continental area. We i) described dynamics of indigenous cyanobacteria community invaded by alien cyanobacteria; ii) assessed concentrations of cyanotoxins in field and culture samples, and suggested toxin producers; and iii) detailed the correlation between the biomass of alien cyanobacteria and environmental conditions. These species were found in three human-affected shallow hyper-eutrophic lakes during warm period of the year; however, their biomass was low. We assume that present temperatures do not limit the occurrence of these alien species but are insufficient for their successful proliferation. In addition, we provided the first evidence of anatoxin-a production by isolated strains of C. issatschenkoi in Lithuania. Alien cyanobacteria were detected at an early stage of their development, however, a rise in global temperatures and the spread of strains with toxigenic potential could lead to increased proliferation and further northward expansion of these alien species.
"Frankenstein" e Tecnologia
Authors: Arbo Jade Bueno , Marques Eduardo Marks de
Published: May 2024

Quando o filósofo Yuk Hui (2020a) introduz o conceito de tecnodiversidade no universo das discussões acerca da tecnologia, ele abre caminho para entendermos esse termo e outros que o cercam – como a ideia de progresso – como sendo sempre “localizado”, ou seja, como fruto de nossas visões de mundo, imbricado nas condições materiais, sociais, históricas e políticas da produção do saber. O presente trabalho busca contribuir com essa discussão a partir de uma análise de “Frankenstein”, de Mary Shelley, como um exercício de crítica da ciência moderna ocidental, o qual surge justamente no momento de consolidação desse ideal de ciência no século XIX. O romance, ao revelar tensões fundamentais entre o desejo de conhecer e suas consequências, questiona as alianças da ciência com ideais igualmente situados de progresso e natureza, desafiando a visão tradicional da ciência como algo separado do humano e, assim, separado das Humanidades. A obra proporciona reflexões importantes sobre a construção de epistemologias que integram ciência e humanidades como igualmente produtos das culturas nas quais estão situadas; tanto as ciências quanto as humanidades estariam, portanto, igualmente enraizadas em seus contextos socio-históricos-políticos específicos. Dessa forma, ao examinarmos as páginas de “Frankenstein”, somos convidados a refletir sobre as implicações de nossos modos de conhecer e habitar o mundo, o que torna a literatura no geral e a ficção científica em específico ferramentas potentes para pensar as ciências, humanas ou não, e suas tecnologias.
ideologia da transformação digital
Authors: Silveira Sergio Amadeu
Published: May 2024

O texto aborda a importância de considerar as interações sociais e as relações de poder ao analisar a evolução das tecnologias e suas implicações sociotécnicas. Critica a mistificação da Inteligência Artificial promovida pelo marketing das grandes empresas e destaca a necessidade de compreender os sistemas algorítmicos e suas influências econômicas, políticas e ideológicas. Aponta a alienação técnica e o solucionismo como elementos que limitam a compreensão das tecnologias e propõe uma abordagem crítica e propositiva para construir outras tecnologias que atendam às necessidades e visões de mundo das sociedades.
Editorial
Authors: Martins Gomes Emanoel Pedro , Arruda Hissa Débora Liberato , Campanerut da Silva Robson , Ferreira da Cruz Carlos Eduardo
Published: May 2024

Editorial