bluuebunny/crossref_metadata_2025 huggingface dataset:
Une décennie d’essor des enseignements sur l’existant dans les ENSA vue à travers les intitulés de cours
Authors: Bidaud Camille , Cisel Matthieu
Published: January 2025

Entre 2005 et 2018, plusieurs décrets, rapports et stratégies ministérielles encouragent les ENSA à former les étudiants à la réhabilitation, en s’appuyant notamment sur le réseau pédagogique et scientifique Architecture Patrimoine et Création. En parallèle, les pratiques architecturales sur l’existant sont devenues majoritaires depuis une quinzaine d’années et la prise de conscience écologique encourage la réhabilitation comme levier pour la transition écologique. L’objet de cet article est de questionner le bilan des injonctions ministérielles et des possibles effets du réseau APC sur les programmes pédagogiques des écoles d’architecture française. Dans cette étude portant sur la décennie écoulée, nous réalisons une analyse textométrique des programmes d’enseignement de licence et master d’un échantillon représentatif des ENSA. Nous constatons un essor considérable des occurrences dans les titres des enseignements des termes liés à la réhabilitation, avec par exemple le quadruplement des occurrences du mot « existant », et une hausse de plus de 50 % des termes « réhabilitation » et « transformation ». Ainsi, nous pouvons observer une augmentation du nombre des enseignements sur l’existant, même s’ils ne remplissent pas encore l’intégralité des besoins en la matière.
El populismo de Vox: valores tradicionales/reaccionarios y polarización afectiva
Authors: Palau Alexandra
Published: January 2025

This paper proposes an analysis of communication strategies implemented by the party Vox during the 2019 general elections. The objective is to identify what values were mobilized by this far-right populist group to elaborate its political message and what emotional structures were used to convince its electoral basis. Our text corpus includes the discourses that Santiago Abascal –the leader of Vox– gave during the campaign for the 28th april 2019 ballot, and the electoral ads shared on the party’s Twitter account for the 28th april and 10th november 2019 ballots. This approach highlights the complementary aspect of using both conventional means of communication and new technologies which favor virality and interactivity. This analysis will explore mechanisms which aim at generating a sense of communitarian belonging by focusing on two elements: on the one hand, Vox’s main ideological references –the exaltation of both patriotic sentiments and the Nation, nativism, anti-elitism– and, on the other hand, the mobilization of conflictual emotions in the imagery and rhetoric of the party.
Artificial Intelligence and Financial Stability
Authors: Andrae Silvio
Published: January 2025

The financial system is rapidly expanding and becoming more interconnected in the digital age. It is moving at an ever-increasing speed and growing in complexity, presenting myriad challenges. The widespread use of artificial intelligence (AI) is driving significant improvements in the efficiency of financial services. However, examining whether this progress comes at the expense of financial stability or creative destruction is crucial. The chapter delves into the conceptual challenges of using AI and identifies the transmission channels that can lead to systemic risks. A simple model is presented and tested using the example of high-frequency trading (HFT) to quantify systemic risk. The stochastic and nonlinear nature of AI risks makes the routine application of conventional risk assessment methods challenging. The focus on systemic risks underscores the urgency and importance of comprehensively understanding AI risks, particularly in the face of the financial system's complexity.
AI Innovations and Silicon Valley
Authors: Günar Didem Öztürk
Published: January 2025

In our age of digital transformation and innovations spreading to every aspect of life, transformative technological innovations originating from Silicon Valley structurally transform financial markets and financial activities. This study examines the transformative effect of technological innovations emerging from Silicon Valley—specifically innovative artificial intelligence, blockchain, or cloud technologies—on Wall Street through their integration into financial markets. Through a historical literature review, it was found that technologies and technology experts from Silicon Valley significantly influenced transaction volume, the training of new finance specialists or engineers, the development of financial tools, the rise of financial literacy, the institutionalisation of entrepreneurs who facilitate the integration of technology into financial markets, and the reduction of risks by enabling secure, fast, and cost-effective transactions through technologies such as blockchain or artificial intelligence.
Deepfakes
Authors: Thirupathi Lingala , Reddy Alumalla Shivani , Vardhan Visnu , Panchagnula Tapasvi , Miriyala Nata Sheker Reddy , Gattoju Saritha , Kanth T. V. Rajini
Published: January 2025

With sophisticated machine learning, deep fakes are made so real that they undermine political processes of trust by manipulating public opinion to destabilize economic stability. Persons can create false videos or audio of public figures, hence swaying elections or spreading disinformation. They can be used in defrauding, manipulating markets, and damaging reputations. Deepfake detection requires intricate algorithms to distinguish manipulation in media. Mitigation includes legal frameworks, educational initiatives, and technological solutions. Legal measures have to address misapplications with clear regulations and penalties. Academic activities are necessary to increase the media literacy of the public to identify deep fakes. However, by implementing such strategies, deep fakes could be significantly reduced in their capacity to make destabilizing influences on politics and the economy through democratic processes and create trust in digital interactions.
Multimorbidity in adult patients diagnosed with atopic dermatitis
Authors: Mućka Szymon , Miodonska Martyna , Mróz Dybowska Magdalena , Zyźlik Anna , Grzanka Alicja , Pawłowicz Robert , Bożek Andrzej
Published: January 2025

Atopic dermatitis (AD) may be associated with other diseases, which could impact the patient's overall health. The aim of this study was to assess the comorbidities observed in patients diagnosed with AD and psoriasis compared to healthy patients. Patients over 18 years old were recruited using the medical databases of dermatology clinics. Initially, 378 patients were selected via an analysis of the ICD-10 codes. Ultimately, 231 patients with atopic dermatitis were included in the study group based on their fulfillment of the Hanifin and Rajka criteria. They included 104 women and 127 men with an age range of 18-62. In patients with AD, selected lifestyle diseases such as obesity and atherosclerosis occurred significantly less frequently than in patients without AD, including those with other dermatoses. In addition, allergic asthma and type 2 diabetes occurred significantly more often in AD patients than in those without AD (p<0.05). In some AD patients, comorbidities are more prevalent, and these are often associated with allergic asthma and type 2 diabetes.
SUNCT and SUNA, Distinct Disorders or Spectrum of a Single Clinical Entity? A Meta-analysis
Authors: Osiowski Aleksander , Osiowski Maksymilian , Taterra Dominik , Klepinowski Tomasz
Published: January 2025

ABSTRACT

This study aimed to evaluate and compare the relative frequencies of clinical features between SUNCT and SUNA. Recently, many researchers tried to investigate the relationship between them and disputed whether those two headache entities appear distinct or should be reconsidered as a single disorder. PubMed and Embase were searched for observational studies that reported clinical characteristics in adults diagnosed with SUNCT and SUNA, in accordance with ICHD-3 β and/or ICHD-3. To determine the pooled prevalence estimates of the clinical features, a random-effects meta-analysis was performed. The between-study heterogeneity was measured with I2
statistics. The study structure followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Risk of bias was assessed using Joanna Briggs Institute Checklist for Studies Reporting Prevalence Data. Of the initial 3834 records, 7 studies met eligibility criteria. The mean age of onset did not differ between the groups. A total of 22.9% (95% confidence interval [CI]: 9.5–45.6) subjects with SUNA present with conjunctival injection and 67.0% (95% CI: 29.4–90.9) with lacrimation. The next three most common cranial autonomic symptoms in both SUNCT and SUNA were rhinorrhea, nasal congestion, and ptosis. Restlessness and agitation were present in more than 40.0% of both entities. Single stab attacks were significantly more common in SUNCT (74.3%, 95% CI: 43.2–91.7) than in SUNA (21.8%, 95% CI: 11.3–37.8). In addition, subjects with SUNCT were more likely to benefit from topiramate (37.5%, 95% CI: 27.6–48.4) than SUNA patients (10.0%, 95% CI: 3.8–23.8). The results of our study showed that there were no major differences between SUNCT and SUNA and thus suggesting their common nature.
Elliptic hyperlogarithms
Authors: Enriquez Benjamin , Zerbini Federico
Published: January 2025

Let

${\mathcal {E}}$

be a complex elliptic curve and S be a non-empty finite subset of

${\mathcal {E}}$

. We show that the functions

$\tilde {\Gamma }$

introduced in [BDDT] out of string theory motivations give rise to a basis (as a vector space) of the minimal algebra

$A_{{\mathcal {E}}{\smallsetminus } S}$

of holomorphic multivalued functions on

${\mathcal {E}}{\smallsetminus } S$

which is stable under integration, introduced in [EZ]; this basis is alternative to the basis of

$A_{{\mathcal {E}}{\smallsetminus } S}$

constructed in loc. cit. using elliptic analogs of the hyperlogarithm functions.
Antioxidant Capacity and Protein contents of Five Marine Microalgae
Authors: Yaman Halil , Eker Develi Elif , Keles Yuksel , Orek Hasan , Kideys Ahmet Erkan
Published: January 2025

Antioxidant capacity, chlorophyll, marker pigment, and protein contents of four diatoms (Helicotheca tamesis, Haslea silbo, Nitzschia navis-varingica, and Asterionellopsis glacialis) and one cyanobacterium (Spirulina subsalsa) have been investigated. N. navis-varingica exhibited the highest chlorophyll a, fucoxanthin, ascorbic acid, and total antioxidant capacity (TAC) among the five species studied. Cupric-reducing antioxidant capacities of N. navis-varingica and H. silbo were higher than other species studied. A. glacialis exhibited the highest total superoxide dismutase (SOD) activity, H. silbo displayed the highest ascorbate peroxidase (APX) activity, and Spirulina subsalsa had the maximum phenolic and protein contents. Overall, compared to other studies in the literature, the contents of phenolics were at a moderate level, and ascorbic acid content, APX activity, and TAC were remarkably high. These findings emphasize the potential for novel applications of the microalgal species used in this study in biotechnology including pharmaceutical, cosmeceutical, food, and feed industries.
Application of Image Processing for Gastropod Identification: Analysis of Shell Morphology
Authors: Yılmaz Hasan Emre , Güven Olgaç
Published: January 2025

Gastropods, a diverse group of invertebrates with single shells, are often identified through their unique shell shapes and patterns. Computer-assisted taxonomic assessments from shell morphology can save time and eliminate human error in taxonomic studies on Gastropods. Recently computer-based applications have focused on species identification based on visual records of individuals, reducing errors and biases due to human interpretation. This study evaluated the applicability of data library created from images of 10 individuals of six different Gastropod species taken from four different angles using a stereo microscope for species identification. These images were processed into digital data with SqueezeNet and Inception v3 algorithms and analyzed using cosine distance and hierarchical clustering techniques. Analysis carried out with the library data showed that images of the same species in our library dataset were clustered together. When the analyses were repeated using visual records of the species being aimed for identification, it was observed that 90% of the newly considered individuals were classified under their respective species clades. This suggests that taxonomic identification is an applicable methodology that can be applicable quickly from images taken in field or laboratory conditions, potentially serving as a preliminary evaluation in advanced species identification studies.
A Prediction Model for Maritime Accidents and Associated Risks in Arctic Routes Using Deep Learning
Authors: Demir Mengü , Erol Sercan , Yildiz Serdar
Published: January 2025

Climate change led to a global effort to seek for new trade routes in the Arctic, significantly altering the maritime sector and increasing maritime activities. Attempt to search and navigate on new routes brought likelihood to a rise in ship accidents, therefore presenting substantial associated risks. Study employed deep learning techniques to predict accidents and outcomes, focusing on the likelihood of occurrences. Accident dataset covering 2005-2017, including variables such as vessel length, age, tonnage, and weather conditions. Dataset was divided into 70% training and 30% testing, using a k-fold cross-validation approach on 511 input-output combinations with 1000 trials each. Results demonstrate that ship tonnage, length, and age are crucial predictors. Highest F1 score (0.89) and lowest standard deviation were achieved using all features. Removing features like minimum daily temperature significantly reduced model performance, reliability improved when combined with weather forecasts. Model can aid planning and management of Arctic maritime operations by predicting associated risks and optimizing insurance premiums. Future research should incorporate additional data sources, test the model under diverse maritime conditions, and focus on specific ship types to develop specialized mitigation strategies. Implementing Polar Code regulations into model predictions can expand the model's applicability and offer insights for policymakers.
Pigment-based Phytoplankton Size Classes and Community Composition along the Western Antarctic Peninsula during the Turkish Antarctic Expedition of 2019
Authors: Ağırbaş Ertuğrul , Feyzioğlu Ali Muzaffer , Başar Ersan , Terzi Yahya , Yıldız Ilknur , Öztürk Rafet Çağrı
Published: January 2025

This study investigates the spatial variability of phytoplankton size classes (PSCs) and community composition along the western Antarctic Peninsula (WAP) during the Turkish Antarctic Expedition (TAE-III) in 2019. Using high-performance liquid chromatography (HPLC) pigment analysis, microscopy, and hydrographic data, we characterized phytoplankton communities across 11 stations during the Turkish Antarctic Expedition (TAE-III). The results revealed substantial regional differences, with nanophytoplankton contributing the most to the total phytoplankton biomass (23–78%), followed by microphytoplankton (3–53%) and picophytoplankton (1–69%). Prominent pigments, including chlorophyll-a, fucoxanthin, and 19-hexanoloxyfucoxanthin, indicated diatom and haptophyte dominance in specific areas. Variations in community composition were strongly influenced by sea surface temperature, salinity, and nutrient availability, driven by regional hydrographic conditions and ice melt dynamics. These findings enhance our understanding of phytoplankton adaptive strategies under changing environmental conditions and highlight their crucial role in the WAP`s polar marine ecosystem. This study provides baseline data essential for monitoring climate-driven changes in Antarctic phytoplankton communities.
Re-mapping Zagreb‘s Urban Space
Authors: Jakovčić Martina , Mak Karlo
Published: January 2025

Areas with a higher concentration of queer population are a well-established feature of the spatial structure in major cities across the Global North. However, there is a conspicuous lack of research on queer population within post-socialist cities. This paper addresses this gap by exploring the possibility of a higher concentration of queer men population in the Croatia’s capital, Zagreb. Based on the analysis of various spatial datasets, we assumed the existence of a queer men’s residential core in Zagreb, described its position within the city’s spatial structure, and examined the spatial dynamics of its development. Our findings reveal that the urban geography of Zagreb is less heterosexual than is usually perceived. Additionally, we demonstrate how the global patterns of the queer community spatialization have adapted within the post-socialist context with all its local specificities that enabled the unique integration of queer man spaces into Zagreb’s post-socialist urban structure.
Souboj vůle s náklonností
Authors: Navrátilová Olga
Published: January 2025

In his practical philosophy, Kant reveals the principles of ethics that are based on pure reason and are therefore independent of both empirical anthropology and theology. Nevertheless, it can be argued that his reflections on the nature of morality are conditioned by the concept of humanity as it was shaped by Christian theology, especially in the Lutheran tradition. In this article, the author wants to show that this theological background is not only present in the work Religion within the Boundaries of Mere Reason, which offers Kant’s rational interpretation of the basic Christian theologoumena, but that Kant also builds on it in the Critique of Practical Reason and in his practical philosophy in general. Consequently, neither the concept of radical evil, which represents Kant’s interpretation of the doctrine of original sin, nor the concept of a “revolution in the disposition of the human being,” which is an interpretation of the theological concept of grace, can be understood as a denial of the principles of Kant’s practical philosophy. On the contrary, by elaborating both concepts, Kant makes explicit the implicit theological background of these principles, which does not deprive them, nevertheless, of their philosophical persuasiveness.
LA GESTIÓN DEL RIESGO TRIBUTARIO EN LA EMPRESA FAMILIAR: DE LOS CÓDIGOS DE BUEN GOBIERNO A LA RELACIÓN COOPERATIVA CON LA ADMINISTRACIÓN
Authors:   Universidad de Zaragoza, Bueno M.ª Cristina
Published: January 2025

La necesidad de gestionar el riesgo tributario surgió en los usos empresariales –códigos de buen gobierno– dando lugar a reformas legislativas. La empresa familiar no ha sido ajena al fenómeno que ha contribuido al cambio de paradigma en las relaciones con la Administración. El CBPT es a las grandes empresas lo que los programas de compliance serán a las pymes. Se evidencia, no obstante, la falta de atractivos para la pyme familiar y la inadecuación de los contenidos de los códigos de buenas prácticas a la regulación general tributaria pudiendo afectar incluso al principio de igualdad ante la ley.
LA IMPLEMENTACIÓN DE LAS NUEVAS AUTOLIQUIDACIONES RECTIFICATIVAS: DERECHO AL ERROR Y PRINCIPIO DE BUENA ADMINISTRACIÓN FRENTE A LA MERMA DE GARANTÍAS
Authors:   Universidad CEU San Pablo, Gorospe Juan Ignacio
Published: January 2025

Las nuevas autoliquidaciones rectificativas se justifican por el legislador en mejorar la gestión tributaria con un sistema único para corregir las autoliquidaciones. En suma, simplificación, agilidad y reducción de las cargas administrativas. Sin embargo, el desarrollo reglamentario lo exceptúa en determinados casos. Además, genera inseguridad jurídica frente al anterior sistema de pago previo y solicitud de rectificación, ante la posibilidad de error y ser sancionado por solicitud u obtención indebida de devoluciones, sin posibilidad de explicar las discrepancias ni adjuntar documentación en el modelo normalizado, restringiendo el derecho a la tutela judicial efectiva y el principio de buena administración.
Harnessing Artificial Intelligence for Environmental Sustainability: Ethical Considerations and Practical Implications in Achieving SDG 9 And SDG 16
Authors: Al-Adwan Majed Ahmed Saleh
Published: January 2025

Objectives: This study investigates the role of Artificial Intelligence (AI) in promoting environmental sustainability, exploring its applications in climate risk modeling, wildlife habitat monitoring, and renewable energy optimization. It also examines the ethical, moral, and legal implications of AI in achieving sustainable outcomes.
 
Theoretical Framework: The research is grounded in the intersection of AI technology and sustainability, with a focus on justice, equity, and the principles of green AI. It aligns with the Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure) and SDG 16 (Peace, Justice, and Strong Institutions).
 
Method: A comprehensive review of existing literature and case studies was conducted to analyze AI applications and their implications in environmental sustainability. Ethical considerations, including algorithmic bias, energy consumption, and data privacy, were critically examined.
 
Results and Discussion: The findings highlight AI’s potential to optimize ecosystems, combat climate change, and improve resource utilization. However, challenges such as data discrimination, unequal access, and ethical concerns must be addressed. The discussion emphasizes the need for frameworks that integrate AI’s capabilities with sustainable practices to achieve equitable outcomes.
 
Research Implications: This study underscores the importance of adopting strategic approaches to AI deployment, encouraging policymakers and businesses to align AI innovations with sustainability goals.
 
Originality/Value: By addressing both the opportunities and challenges of AI in sustainability, this research provides a novel perspective on leveraging AI for environmental and societal benefits, offering actionable insights for future developments.
Hyperbaric Therapy for Auto Immune Diseases
Authors:   Assistant professor PharmD, CMR College of pharmacy, Hyderabad, India., Lahari Samudrala , Singh Bhanu Pratap ,   Student, CMR College of pharmacy, department of PharmD, Hyderabad, India., laxmi Papasani Rajya ,   Student, CMR College of pharmacy, department of PharmD, Hyderabad, India., Tharun Bashaboina ,   Student, CMR College of pharmacy, department of PharmD, Hyderabad, India., Ramarao Tadikonda ,   Principal, CMR College of pharmacy, Hyderabad, India.
Published: January 2025

An autoimmune disease arises when the immune system mistakenly targets the body’s own tissues, causing damage rather than providing protection. Hyperbaric oxygen therapy (HBOT) involves the administration of 100% pure oxygen within a specialized environment known as a hyperbaric chamber. While atmospheric air contains only 21% oxygen, HBOT leverages increased air pressure within the chamber to enhance the lungs’ ability to absorb oxygen. This elevated oxygen intake delivers vital oxygen to tissues, promoting healing and aiding in the fight against certain infections.

HBOT operates through multiple mechanisms: it reduces inflammation, combats infections, and facilitates the repair of damaged tissues. The therapy’s pure oxygen content supports the immune system in combating bacteria while stimulating the production of stem cells. These stem cells play a pivotal role in generating various cell types essential for bodily functions, including blood cells, brain cells, and muscle cells. In essence, HBOT fosters tissue repair and enhances overall immune functionality.
Enhancing Gender Equality, Disability and Social Inclusion through Farmer Managed Natural Regeneration in Central Rift, Kenya
Authors: Too Prisca , Chesire Michael , Kigen Charles , Korir Janet , Munyao Carol
Published: January 2025

This paper examines how World Vision’s project “Central Rift Farmer-Managed Natural Regeneration Scale-up project (CRIFSUP)” carried out between 2017 and 2021 used Gender Equality, Disability and Social Inclusion (GEDSI) approach and transformation power relations among farmers. The Study areas were Ndabibi in Nakuru County, Marigat in Baringo County, and Ng’oswet in Elgeyo Marakwet. Methodology adopted was mixed method approach and data collected using collective brainstorming sessions with communities, key informant interviews, Household questionnaire, focused group discussions for adults and children, and observation. Purposive sampling was employed to identify farmers to participate in focus group discussions and key informants. Apart from examining the field reports on this project, this study reviewed secondary related literature. The theory of change and agency and employed to how the implementation of FMNR created a conducive environment for the transformation of gender, disability and social inclusion. Enhancement of gender, disability and social inclusion is traced by examining the changes that transpired between the time the baseline report was conducted, CRIFSUP GESI Report and the end of term report. The focus is on decision making, time use, roles, responsibilities and economic empowerment. The findings showed that the time spent on collecting firewood was reduced to 30 minutes. Energy saving measures such as jikos and biogas were introduced by CRIFSUP. Savings for transformation groups enabled women and people with disabilities to access resources that enabled them to diversify their roles and engage in income generating activities such as bee keeping. However, mainstreaming gender, disability and social inclusion considerations has been partially successful, for instance land ownership and access is still heavily weighted towards men and this affects women access and use of trees. This influences the time women spend to look for firewood.
Farmer Managed Natural Regeneration and Community Development: An analysis of Impact in Selected Countries
Authors: Chesire Michael , Kigen Charles , Munyao Carol , Korir Janet , Too Prisca
Published: January 2025

Purpose: This paper explores the relationship between community development and Farmer-Managed Natural Regeneration (FMNR) as a strategy for resource conservation and community empowerment. It highlights how FMNR contributes to ecological sustainability and rural household livelihoods in selected countries in West and East Africa, including Niger, Ghana, Mali, Uganda, Tanzania, and Kenya.
Methodology: A content review of FMNR practices was conducted, focusing on their adoption, spread, and impact on community development. The analysis emphasized economic empowerment, ecological sustainability, best practices, challenges, and mitigation strategies.
Findings: The study found that FMNR enhances community livelihoods by promoting sustainable natural resource use and reducing environmental degradation. It strengthens community capacity for resource management and supports rural economic development. However, challenges such as land fragmentation, technological gaps, and limited adoption were noted.
Unique Contribution to Theory, Practice and Policy: To scale up FMNR, stakeholders should prioritize community training, strengthen institutional frameworks, and provide policy support for sustainable resource management. Addressing technological and socio-economic barriers is essential to maximize FMNR's potential in improving livelihoods and achieving ecological sustainability.
AN INSPIRATION FOR ALL TIME: PIONEER VERENA HOLMES’ IMPACT ON FUTURE ENGINEERING PRACTICE
Authors:   Canterbury Christ Church University, U K, SAEIDLOU Salman
Published: January 2025

Verena Holmes is a pioneer for women in the industry as arguably
the first female in the UK to have a full-time career as a professional
mechanical, design and biomedical engineer. She was an advocate for
widening participation in engineering and dedicated to the development
of female engineers. In 1932, Verena Holmes filed a patent for a poppet
valve for fluid pressured systems, which in 2022 has provided
inspiration for students to conceive, design, implement and operate their
own design. The poppet valve project challenges first-year biomedical,
mechanical and product design engineering students to consider
engineering materials, manufacturing, fixes and fittings, and tolerance
considerations. This paper will provide qualitative analysis of the level
of practical engineering learning, and the depth of student learning.
There is also a quantitative analysis of the students’ evaluation of the
learning opportunity, to inspire, develop and stimulate them to be the
next generation of engineers.
Marketing Strategy in Increasing High Class Motorcycle Sales Volume at PT. Astra Motor Palembang
Authors: Winarti Winda , Helmi Sulaiman , Gunarto Muji
Published: January 2025

This study aims to determine marketing strategies to increase sales volume inHigh Class Motorbikes at PT. Astra Motor Palembang. This research method is descriptive qualitative based on experts is a thought that describes the situation or direction of events, does not test hypotheses or make predictions. Descriptive research aims to describe systematically and accurately the facts about a particular field. In this research process, researchers use 4 factors that need to be considered, namely product, promotion, price, and place. The results of this study are the factors that inhibit sales are high motorbike prices, although very efficient with product quality, finding the right target is quite a challenge. The second is the number of viewers, or followers who fluctuate tend to be small because of content competition with various existing content.
The Influence of Influencer Endorsement, Content Marketing and Live Streaming on Sales Turnover Online Shop in Palembang
Authors: Veranda Dela , Gunarto Muji , Helmi Sulaiman
Published: January 2025

This study aims to analyze the impact of influencer endorsement, content marketing, and live streaming on the sales revenue of online shops in Palembang City. The method used is regression analysis involving 100 respondents who are the owners and managers of online shops in Palembang. The results show that all three digital marketing strategies have a significant effect on increasing sales revenue, with live streaming having the greatest impact. As many as 85% of respondents stated that the live streaming feature allows them to interact directly with consumers, demonstrate products, and offer special promotions. Influencer endorsement and content marketing also prove to be effective in attracting consumer attention and increasing trust in the products sold. This study emphasizes the importance of implementing integrated digital marketing strategies to face the increasingly competitive online market in Palembang City.
Technology Integration in Education: A Review and Analysis of SAMR Model
Authors: Zamri Mohd Taufik , Azlan Mohamad Syamsul Nor
Published: January 2025

The rapid advancement of technology and the unprecedented challenges posed by the COVID-19 pandemic have compelled educators to reconsider their teaching methodologies and embrace technology integration in education. This research paper reviews the prominent Technology Integration Models, with a special focus on the Substitution, Augmentation, Modification, and Redefinition (SAMR) Model proposed by Ruben Puentedura. The paper discusses the application, benefits, criticisms, and empirical findings related to the SAMR Model in educational contexts. While the SAMR Model has gained significant popularity, it faces criticisms related to context, focus, and hierarchical structure. This paper emphasizes the importance of understanding these limitations and suggests a context-driven approach for effective technology integration.
The Contribution of Purchasing Management Practices to Enterprise Growth of Micro Restaurant in Uganda
Authors: Kabuye Nansereko Racheal , Mande Wilson Muyinda , Lutaaya Sadat
Published: January 2025

Purpose – The purpose of this paper was to examine the contribution of purchasing management practices to enterprise growth. Micro restaurants always start with little capital, they earn little profits, and for that matter do not show substantive economic worth to the owners. The only viable option is to grow to small, medium and later to large scale restaurants. So, it was important to investigate on how much purchasing practices contributed to the growth of the micro restaurants.

Design/methodology– In this study, a cross-sectional design was used. Data was gathered from a sample of 300 participants who were mainly restaurateurs. A questionnaire was the main tool used to collection the perceptions of respondents.

Results – Results showed that purchasing management and micro restaurant growth had a clear relationship. The better the purchasing, the more it contributed to micro restaurant growth. Through a simple linear regression, it was found out that purchasing management practices contributed 26% of micro restaurant growth in KCCA markets.

Recommendation: Since 26% was rather low, it was recommended that micro restaurant growth being a function of purchasing management practices restaurateurs form a purchasing cooperative which would yield the benefits of cooperative game theory.

Originality – The research on the micro restaurants in KCCA markets plus the proposal of managing restaurateurs purchasing practices illustrate the fact that this work was original.
Analysis of Homestay Development Potential in the Marine Tourism Area of Sanrobengi Island, Takalar Regency
Authors: Rahman Kurnia Yusniar
Published: January 2025

This study aims to evaluate homestay standards in community houses on Sanrobengi Island, Boddia Village, Takalar Regency, with reference to the Minister of Tourism Regulation No. 9 of 2014. The methods used include qualitative and quantitative approaches, including surveys, interviews, and secondary data analysis, to analyze homestay assessment indicators as well as identify factors that influence their development potential. The results show that although some homestays have not fully met the set standards, there are great opportunities for development, supported by the uniqueness of the local culture, the friendliness of the community, and the potential for natural tourism. The findings provide important insights for stakeholders in designing sustainable development strategies and enhancing the attractiveness of homestays on Sanrobengi Island.
Legislative Oversight in Nigeria’s Democracy: Roles, Challenges and Way Forward
Authors: Olaogun Micheal Sunkanmi , Iwuoha Ijeoma, Joy , Ememobong Umoren , Silas Oduh Idoko, , Chiazor Anthonia E.
Published: January 2025

Legislative oversight is a robust mechanism institutionalized to check the excesses of the executive arm of government and government agencies, for accountability, to minimise waste in governance, corruption and absolutism in the exercise of political power. This institution has, however, come under serious criticism mainly to perceived misuse of their constitutional powers. This study examines legislative oversight in Nigeria’s democracy based on it roles, challenges and way forwards. The study is underpinned under structural functionalism theory. Data for the study were generated from documentary materials and analysed through descriptive content analysis. The article argues that the legislature in the Fourth Republic has increasingly used its oversight function not only in controlling the executive but it has contributed in the stabilization of politics, reduction of corruption and increasing the quality of democracy. However, the study reveals that oversight functions critical aspect of the legislature have severely been compromised and wit challenges. The study established that the legislative organ is incapacitated from carrying out effective oversight for good governance because of inadequate autonomy, the executive usurpation of legislative powers by involving in oversight function, the problem of god-fatherism and corrupt tendencies of most members of the legislative houses. It then suggest way forward as legislative oversight can become more effective once again if greater value is given to citizenship through a reformed electoral process which gives more power to the vote and, ultimately, enhance the capacity of voters to control public officers through the possibility of rejection at the polls. The legislature should be checkmated to reduce misconduct in some of their activities. To ensure effective legislation that will bring about good governance in the polity, there should be independent choice of candidates, free and fair election, financial autonomy of the legislature and regular oversight function, devoid of financial and material benefits or inducement by members of the legislative arm.
El pulque de Jiquipilco, Estado de México, y sus productores
Authors: Franco-Mora Omar , Malváis-Guzmán Laura , Castañeda-Vildózola Álvaro , Sánchez-Pale Jesús Ricardo
Published: January 2025

Para actualizar información del sistema producto maguey pulquero en Jiquipilco, Estado de México, en marzo de 2023, 32 maestros pulqueros de dicho municipio contestaron un cuestionario dirigido sobre el cultivo de maguey y la producción de pulque. Las respuestas indicaron que los productores cultivan sus magueyes principalmente en monocultivo y planifican la siembra continua para mantener la producción de pulque estable en el futuro. Sin embargo, los magueyes presentan limitado manejo agronómico, de manera general se elimina la maleza y se aplica estiércol de bovino. El valor moda del precio por litro de pulque fue de $15. Por otro lado, se determinaron variables del pulque ofertado en la feria del pulque Jiquipilco 2023. Las mayores diferencias se observaron en las variables dulzor (13.2 a 3.7 ̊Bx), contenido de alcohol (12.5 a 7 ̊GL) y contenido de sedimentos (11 a 2 % p/v).
Estimating percentiles of time-to-failure distribution obtained from a Weibull accelerated degradation model
Authors: Ebrahem Mohammed Al-Haj , Abedalqader Mohammad
Published: January 2025

We propose a nonparametric kernel estimation method to estimate the percentiles of the time-to-failure distribution under the usual use condition obtained from a Weibull accelerated degradation model. We discuss some of the well-known parametric method that used to estimate the time-to-failure distribution and its percentile under the usual use condition including ordinary least square method and maximum likelihood method. The different exiting methods were compared with the kernel method through simulation by using the mean square error and the bootstrap confidence interval length. In general, when the distributional assumption is available, the maximum likelihood estimator performs better than the other two estimators, while the kernel estimator performs better than the other two estimators when the distributional assumption is not available. Application to real data set was disscuced.
On characterization of a continuous distribution through lower record values
Authors: Khan M. I.
Published: January 2025

The characterization results via conditional expectation of lower record and truncation moments are considered for a new family of probability distribution. Several probability distributions can be characterized by the proposed method.
Selection of EMQ, quality investment, and parameters of acceptance sampling
Authors: Chen C. H. , Lee T. H.
Published: January 2025

This work discusses the inventory model under EMQ, quality investment, parameters of acceptance sampling, PCI and AOQL.
Early fire hazard risk management model in urban environments : Leveraging optimized deep learning techniques
Authors: Goyal Vishal , Unhelkar Bhuvan , Shankar S. Siva , Chakrabarti Tulika , Chakrabarti Prasun , Sivaneasan B. , Margala Martin
Published: January 2025

The rapid growth of IoT technology has revolutionized smart city applications, improving societal functionalities. This integration offers real-time applications for predicting crime events, monitoring environmental conditions, and managing health. However, current IoT-based smart city implementations face challenges in technological capacity and skill readiness. To address this, they propose a framework combining RNN with ALO to predict fire hazard risks early. IoT sensor devices are deployed across smart cities to monitor environmental conditions like drought code, temperature, and humidity. Data is securely stored in Firebase for processing with MATLAB. The model’s effectiveness is validated against conventional methods, demonstrating superior accuracy and minimal errors. This framework addresses technological challenges and offers promising outcomes in predicting and mitigating fire hazards through advanced data analysis.
An intelligent framework for credit card fraud detection through data analytics
Authors: Chakrabarti Y. Ravi Kumar , Unhelkar Bhuvan , Shankar S. Siva , Chakrabarti Tulika , Chakrabarti Prasun , Sivaneasan B. , Margala Martin
Published: January 2025

An intelligent framework combining Autoencoder Neural Networks and the Dragonfly optimization algorithm, which would be put forth to this research to combat effective credit card fraud by detecting fraudulent transactions quickly through extracting important features and patterns in transactional data with the help of Autoencoder Neural Networks. The Dragonfly optimization algorithm enhances the recital of the archetypal in question by refining the hyperparameters of the autoencoder archetypal. In doing so, the algorithm improves adaptability to emerging fraud patterns and always gives strong generalizations. Critical experiments are conducted that show that the framework has enormous precision, accuracy, F1 score, specificity, as well as recall while trying to detect credit card fraud as accurately as possible, reaching a maximum accuracy of 98%. This framework, therefore, will prove to be a good defence against credit card fraud by finally protecting financial interests, based on drawing the benefits of Autoencoder Neural Networks and Dragonfly optimization.
The Marshall-Olkin Type II exponentiated half logistic family of distributions with properties and applications
Authors: Oluyede Broderick , Gabankgosi Morongwa
Published: January 2025

A new Marshall-Olkin Type II Exponentiated Half Logistic-G (MO-TIIEHL-G) distribution is developed. Some properties and special models together with estimates of the parameters are presented. The effectiveness of the estimation process is evaluated using Monte Carlo simulation. Lastly, by applying a special case to actual data sets, the flexibility and significance of the new family of models are shown.
Diagnosis and training of neuro-visual functions in rehabilitation and sports training
Authors: Kolář Jáchym , Veselý Viktor , Kolář Pavel , Kobesová Alena
Published: January 2025

Sensory integration plays a crucial role in the smooth execution of movements. However, the repeated intake of suboptimal information from our surroundings can disrupt the motor learning process. Sight stands out as the dominant human sense, providing visual information that is integrated at the central nervous system (CNS) level. This integration occurs alongside inputs from other sensory organs, constantly influencing motor activity. The term “neuro-visual system” (NVS) is now widely recognized in the fields of rehabilitation and sports, highlighting the crucial eye–brain–body axis connection. This article provides an overview of recent findings on the NVS exploring diagnostic procedures relevant to NVS in clinical settings. These procedures include tests for visual acuity, eye motility, and the near point of convergence. Drawing on existing literature, it identifies specific patient groups for whom neuro-visual training (NVT) could significantly enhance rehabilitation outcomes. Additionally, it discusses the potential benefits of NVT for athletes as an integral part of their sports training regimen. Included in the publication are two case studies illustrating NVS assessment and the application of NVT in clinical practice. The first case involves an adolescent with attention disorder and congenital diplopia, and the second, a young tennis player suffering from headaches. These examples underscore the practical value of NVS diagnostics and neuro-visual training in addressing specific health and performance issues.
Procesos de enseñanza aprendizaje en la materia de lengua indígena de educación primaria
Authors: Sánchez García Lucila
Published: January 2025

El objetivo del presente artículo es analizar tres procesos de enseñanza aprendizaje (instruccional, comunitario y colaborativo) que se producen en la materia de lengua indígena para enseñar a leer y a escribir una variante del zapoteco que no tiene, hasta ahora, una grafía consensuada, por lo que tanto los maestros como los estudiantes enfrentan diferentes retos. Aunque la investigación tiene una fuerte conexión con la lingüística, es un análisis pedagógico-didáctico. Se utilizó una metodología cualitativa con un enfoque etnográfico en la escuela primaria indígena bilingüe multigrado “Emiliano Zapata”, ubicada en la comunidad de San Baltazar Guelavila del estado de Oaxaca, México. El enfoque teórico que sustenta este estudio es la propuesta de Michel de Certeau (2000) sobre las tácticas y estrategias en las maneras de hacer. Los resultados revelan métodos novedosos y creativos para la enseñanza de las lenguas originarias de México, dentro y fuera del aula, que ponen en marcha los docentes, los alumnos, sus familias y la comunidad en la que se desenvuelven, ante el reducido material para la lectoescritura de su idioma.
Desafíos de la enseñanza remota de lenguas extranjeras en tiempos de pandemia
Authors: Ortiz Lovillo María del Pilar , Gidi Martí Daniel Jacobo , Libreros Cortez Héctor
Published: January 2025

La enseñanza remota de emergencia implementada durante la pandemia de Covid-19 impuso desafíos pedagógicos a los docentes de diversos contextos geográficos. El presente estudio cualitativo tiene por objetivo explorar las experiencias de ocho profesores de lenguas extranjeras provenientes de cinco universidades sobre la enseñanza remota durante la pandemia, con la finalidad de documentar vivencias educativas procedentes de contextos socioculturales diversos. Para la recolección de la información se utilizó una adaptación virtual de la clásica entrevista semiestructurada. Los hallazgos muestran que los maestros desarrollaron experiencias diferenciadas sobre la modalidad virtual y enfrentaron retos asociados la enseñanza de la pronunciación, la revisión de actividades de escritura, la comprensión auditiva, la interacción y la expresión orales durante la formación. La reflexión de estos puntos podría ser útil para analizar posibles escenarios futuros, en vista del panorama mundial climático-sanitario y de la posibilidad de emplear nuevamente la enseñanza remota para la formación.
perspectiva cognitiva corporizada y ecológica: otros abordajes posibles de lo ambiental
Authors: Holz Silvia Cristina
Published: January 2025

En este artículo queremos enriquecer una mirada integrativa de los procesos formativos en el nivel educativo superior, a través de una perspectiva cognitiva corporizada y ecológica, para proponer abordajes didácticos que cultiven transformaciones hacia modos más cuidadosos de relacionarnos con nosotros mismos, con los demás y con el entorno humano y no humano. Partimos presentando los supuestos cognitivos que predominan actualmente en nuestros sistemas educativos, y subrayamos la creciente relevancia de las perspectivas cognitivas emergentes corporizadas y ecológicas. Introducimos un diálogo entre elementos claves de las didácticas críticas y de la cognición corporizada y ecológica, planteando algunas estrategias posibles para construir prácticas formativas integrativas y con potencial transformador, que contribuyan a ampliar nuestra conciencia en relación con lo ambiental y a cultivar modos de habitar solidarios, basados en la profunda interconexión que tenemos en la red de la vida. Ponemos en relevancia la importancia de cultivar prácticas formativas que integren la experiencia sensible directa.