bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hermann Brehmer’s Tuberculosis Treatment Methods: Potential Applications for Cachexia in Aids and Cancer
Authors: Bjørklund Geir 
Published: December 2024

Abstract
The innovative treatment methodologies for tuberculosis by the German physician Hermann Brehmer (1826-1889), established in the mid-19th century, achieved significant success and may offer valuable insights for the modern treatment of cachexia in AIDS and cancer. Brehmer's approach, which included hydrotherapy, a special diet, and rigorous physical activity, demonstrated impressive patient outcomes and highlighted the potential for integrating historical methods with contemporary therapeutic strategies. This paper provides a comprehensive understanding of Brehmer's methods, their evolution, and their potential applicability to modern chronic infectious diseases and conditions associated with cachexia, ensuring that the audience is well-informed and knowledgeable. By examining the interplay between nutrition, physical activity, and immune function, a holistic approach is proposed that combines Brehmer’s principles with immunotherapy to optimize treatment outcomes for HIV, tuberculosis, and cancer patients.
Deep Learning-Based Travel Time Estimation in Hiking with Consideration of Individual Walking Ability
Authors: Asako Mizuho , Tahara Yasuyuki , Ohsuga Akihiko , Sei Yuichi 
Published: December 2024

Abstract
Hiking is popular, but mountain accidents are serious problems. Accurately predicting hiking travel time is an essential factor in preventing mountain accidents. However, it is challenging to accurately reflect individual hiking ability and the effects of fatigue in travel time estimation. Therefore, this study proposes a deep learning model, “HikingTTE”, for estimating arrival times when hiking. HikingTTE estimates hiking travel time by considering complex factors such as individual hiking ability, changes in walking pace, terrain, and elevation. The proposed model achieved significantly higher accuracy than existing hiking travel time estimation methods based on the relation between slope and speed. Furthermore, HikingTTE demonstrated higher accuracy in predicting hiking arrival times than a deep learning model originally developed to estimate taxi arrival times. The source code of HikingTTE is available on github for future development of the travel time estimation task.
Billion-Scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering
Authors: Emanuilov Simeon , Dimov Aleksandar 
Published: December 2024

Abstract
This paper presents a novel approach for similarity search with complex filtering capabilities on billion-scale datasets, optimized for CPU inference. Our method extends the classical IVF-Flat index structure to integrate multi-dimensional filters. The proposed algorithm combines dense embeddings with discrete filtering attributes, enabling fast retrieval in high-dimensional spaces. Designed specifically for CPU-based systems, our disk-based approach offers a cost-effective solution for large-scale similarity search. We demonstrate the effectiveness of our method through a case study, showcasing its potential for various practical uses.
A Cost-Benefit Model for Feasible IoT Edge Resources Scalability to Improve Real-Time Processing Performance
Authors: Assaf Maen M. Al , Qatawneh Mohammad , AlRadhi AlaaAldin 
Published: December 2024

Abstract
Edge computing systems have emerged to facilitate real-time processing for delay-sensitive tasks in Internet of Things (IoT) Systems. As the volume of generated data and the real-time tasks increase, more pressure on edge servers is created. This eventually reduces the ability of edge servers to meet the processing deadlines for such delay-sensitive tasks, degrading users’ satisfaction and revenues. At some point, scaling up the edge servers’ processing resources might be needed to maintain user satisfaction. However, enterprises need to know if the cost of that scalability will be feasible in generating the required return on the investment and reducing the forgone revenues. This paper introduces a cost-benefit model that values the cost of edge processing resources scalability and the benefit of maintaining user satisfaction. We simulated our cost-benefit model to show its ability to decide whether the scalability will be feasible using different scenarios.
Software Requirement Smells and Detection Techniques: A Systematic Literature Review
Authors: Alemneh Esubalew , Berhanu Fekerte 
Published: December 2024

Abstract
One of the major reasons for software project failure is poor requirements, so numerous requirement smells detection solutions are proposed. Critical appraisal of the proposed requirement fault detection methods is crucial for refining knowledge of requirement smells and developing new research ideas. The objective of this paper was to systematically review studies that focused on detecting requirement discrepancies in textual requirements. After applying inclusion and exclusion criteria and forward and backward snowball sampling techniques using database-specific search queries, 19 primary studies were selected. A deep analysis of the studies shows that classical NLP-based requirement smells detection techniques are the most commonly used ones and ambiguity is the requirement smell that has the utmost attention. Further investigation depicts the scarcity of open-access datasets, and tools employed to detect requirement faults. The review has also revealed there is no comprehensive definition and classification of requirement smells.
The Browser-Based GLAUx Treebank Infrastructure: Framework, Functionality, and Future
Authors: Keersmaekers Alek , Pietowski Frédéric , Van Hal Toon , Depauw Mark 
Published: December 2024

Abstract
This paper presents the browser-based treebank infrastructure of GLAUx (the Greek Language AUtomated). This linguistic annotation project now has its integrated and user-friendly platform for exploring this data. After discussing the size and types of texts included in the GLAUx corpus, the contribution succinctly surveys the types of linguistic annotation covered by the project (morphology, lemmatization, and syntax). The emphasis of the contribution is on a description of the underlying SQL database structure and the search architecture. Infrastructure-related challenges faced by the GLAUx project are also discussed. Finally, the paper concludes with a discussion of future steps for the project, including additional functionality and expansion of the corpus.
An Interface for Linking Ancient Languages
Authors: Mallia Michele , Bandini Michela , Quochi Valeria 
Published: December 2024

Abstract
This paper focuses on the linking potentials offered by the EpiLexO web-based front-end for creating and editing an ecosystem of digital resources for ancient languages, developed in the context of a project on the languages of fragmentary attestation of ancient Italy. The focus is particularly on mechanisms introduced for linking lexical information to other information bits either internally or externally, e.g., for creating attestations by linking lexical forms to their variants in relevant inscriptions, as well as for linking lexical data to external independent LOD datasets available on a remote endpoint. Finally, in the conclusions, we briefly introduce some future planned or desired enhancements as well as the final platform component, a parallel interface that constitutes the fruition application, which will be open to anyone on the web and will allow for browsing, searching, cross-querying and visualizing the created set of interlinked resources.
Conceptual Modelling of a Laboratory’s Products and Some Assisted Management Applications
Authors: Iliescu Dragoș 
Published: December 2024

Abstract
The research investigates by conceptual modelling tools the requirements needed for a proper definition of a laboratory’s products or services. By using a high degree generalization modelling language, under the research scope we investigate the product/service as a material test and/or calibration for measuring equipment. The research results expressed in modelling language are later implemented in an Assisted Management Application.
Categorical Mechanisms in Modelling Multiagent Systems
Authors: Crăciunean Daniel C. 
Published: December 2024

Abstract
The main contribution that this paper brings is the specification of multiagent systems, at the metamodel level, using an appropriate categorical sketch. We will see that category theory provides all the necessary ingredients for the formal specification of multiagent systems. In our approach, a multiagent system is specified by a static dimension and a behavioural dimension. For both dimensions we have defined a metamodel based on the categorical sketch. To specify the static dimension, we used a categorical sketch whose models are the states of the multiagent system. To specify the behavioural dimension, we introduced a Kripke-type categorical metamodel, which is based on a categorical sketch with constraints equivalent to the specified logical axioms.
Logistics Optimization for Resource Allocation and Scheduling Using Time Slots
Authors: Papară Cezar-Marian , Schirliu Ștefan-Horia 
Published: December 2024

Abstract
In the field of logistics, efficient scheduling and resource allocation are essential for ensuring the seamless flow of goods through transportation networks. This paper addresses the Interval Scheduling Problem, a combinatorial optimization challenge, in the context of logistics planning for goods transportation. The study examines how optimized appointment scheduling and resource allocation can enhance the performance of transportation networks. By combining theoretical insights, algorithmic solutions, and practical applications, this work proposes a comprehensive approach grounded in mathematical models that account for time, resource, and capacity constraints, alongside a computational implementation. Utilizing advanced computational techniques and real-time data integration, the proposed solutions aim to increase operational effectiveness and competitiveness while reducing costs in transportation logistics.
A Systematic Method of Generating Intuitive Bivariate Colour Legends
Authors: Neghină Mihai , Neghină Cătălina 
Published: December 2024

Abstract
Colour is used increasingly often as quantitative indicator of combined continuous features such as temperature and humidity on geographical maps, or deformity on two axes in medical diagnosis. As such, generating flexible bivariate legends with particularly tough colour constraints for specific combinations of the variables has come to the forefront. The paper presents a systematic method of generating bivariate legends by first selecting a convenient colour subspace and then adjusting it through image processing techniques. The proposed method can generate a wide variety of legends with smart choices of parameters but remains simple enough to be worthy of consideration by specialists (in various fields) whose representations may benefit by becoming better intelligible. These legends can be used for pseudo-colouring of maps, diagrams, and many other images and graphical representations. An example is also provided for a comprehensive colouring to be used in the medical diagnosis of spine deformity.
Implementation of sensorless indirect vector control of induction motor with closed-loop current control
Authors: Crăciunaş Gabriela , Viorel Alina Cristina 
Published: December 2024

Abstract
The paper focuses on the development and testing of an advanced induction motor control method. This method, known as indirect rotor flux-oriented vector control, allows independent control of motor torque and flux, providing high dynamic performance similar to that of a DC motor. Additionally, the implemented system is sensorless, eliminating physical rotor position sensors, which reduces complexity and cost while increasing system reliability. The proposed system uses a rotor flux estimation algorithm, based on mathematical models, which provides the necessary information for vector orientation in the absence of a sensor. Additionally, closed-loop current control improves stability and accuracy of the control by correcting output current deviations from reference values. Thus, the system provides fast and accurate response in the presence of load variations and external disturbances. Simulations and experimental tests were carried out in the Simulink environment, where the proposed model was evaluated under various operating conditions. The results demonstrate the efficiency of the system and the validity of the method for industrial applications where precise and robust induction motor control is required.
Single Phase Induction Motor Electrical Performances
Authors: Viorel Alina Cristina , Crăciunaș Gabriela 
Published: December 2024

Abstract
A single-phase induction motor (SPIM) is one of the most widely used types of electric motors for applications that require small to medium power even his features don’t look very efficient energy parameters point of view. This motor runs on single-phase AC power, a real advantage for residential and light industrial applications and coupled with a DC permanent machine can emphasize its behavior in some specific situations.
Starting and running performance of single-phase induction motor depend on running torque requirements of the load. Some statements about power factor and efficiency will be done, also.
Basketry and Festival Among the Dong (Kam) People
Authors: Jackson Jason Baird , Zhang Lijun 
Published: December 2024

Abstract
While fundamental to the practical concerns of everyday life, bamboo baskets also play important roles within festivals staged by the Dong (Kam) people of Southwest China. Drawing upon fieldwork in Sanjiang Dong Autonomous County in the Guangxi Zhuang Autonomous Region and in adjacent Liping County, Guizhou Province, this article will evoke and contextualize some of the ways that bamboo baskets are bought and sold, used and put on display within festivals held in this mountainous corner of China and the Southeast Asian Massif.
Basketry Craft Practice in Southwest China: The Case of Defeng Village
Authors: Zhang Lijun , Jackson Jason Baird 
Published: December 2024

Abstract
This paper focuses on the practice of basketry craft and its relationship to changing social dynamics in Southwest China that we have observed through collaborative ethnographic projects across the region. We here focus on the case of Defeng village, a Dong (Kam) settlement where the entire community specializes in producing a particular form of basket called fanyouyou (rice basket) for a regional market. Basket making as a living form of community-based culture in Defeng is practiced, sustained, and adapted by skilled basket makers in a fast-changing social, cultural, and economic landscape. When relevant, we will also compare the basketry in Defeng to other locales that we have visited in Southwest China.
Holistic Competitive Strategy: Embracing a Holistic Approach to Establishing a Competitive Edge
Authors: Kafoe Alieu Stephen 
Published: December 2024

Abstract
This study examines the integration of Porter’s Five Forces, the Resource-Based View (RBV), and Dynamic Capabilities frameworks as a comprehensive approach for establishing and maintaining competitive advantage in today’s complex business environment. The paper presents real-world examples, including Amazon and Tesla, to demonstrate the practical application and potential challenges of implementing these integrated strategies. These case studies illustrate how successful companies leverage a multifaceted understanding of their competitive landscape, internal strengths, and resource capabilities to outperform rivals and adapt to changing market conditions. By synthesizing these three frameworks, organizations can develop a more nuanced and holistic view of their strategic position. Porter’s Five Forces provides insight into industry structure and competitive dynamics, while the RBV focuses on identifying and leveraging unique internal resources. The Dynamic Capabilities perspective adds a crucial temporal dimension, emphasizing the importance of adapting and reconfiguring resources in response to environmental changes. This integrated approach enables companies to establish and sustain their competitive advantage over time, leading to long-term organizational success. The study further explores the implications of this integrated framework for overcoming resistance to strategic changes within organizations. By providing a comprehensive understanding of external and internal factors influencing competitiveness, this approach can facilitate more effective strategic decision-making and implementation, ultimately contributing to long-term organizational success in a dynamic business.
From Residents to Hosts: Empowerment and Training of the Urban Population of Manta in Tourism
Authors: Justicia Hugo Fernando Ortiz , Zambrano Arturo Damián Rodríguez , Vera Diego Emilio Guzmán , Holguín Jhonny Saulo Villafuerte 
Published: December 2024

Objective: This study analyzed the relationship between training and tourism empowerment in the urban parishes of Manta.

Theoretical Framework: The research is supported by theories of development, sociology, and psychology, and is related to concepts such as local development, development economics, and citizen participation. Essentially, the study seeks to understand how tourism can be a positive force for social change in Ecuador's coastal communities, as long as training, empowerment, and active participation of community members are promoted.

Methodology: For the development of this study and the fulfillment of the specific objectives proposed, a quantitative, field, and correlational research was adopted. Likewise, a non-experimental research design was adopted.

Results and Discussion: The results of the quantitative research revealed a low level of English language skills and knowledge of natural and cultural heritage, as well as low participation in tourism training among the urban population of Manta. Weak relationships were also found between empowerment and training, except for the social and psychological dimensions.

Implications of the Research: The implications of this research are broad and far-reaching. By demonstrating the relationship between tourism, community empowerment, and sustainable development, this study can serve as a basis for the design of public policies and development programs that promote the active participation of local communities in tourism management.

Originality/Value: The originality of this research lies in its multidisciplinary and contextualized approach, which combines elements of economics, sociology, and anthropology to analyze the complex relationship between tourism, community development, and empowerment. Its value lies in its ability to offer a conceptual and methodological framework for future research, as well as its potential to inform public policies and management practices that promote more sustainable and equitable tourism.
Comprehensive Diagnosis and Dendrograms: Model for Understanding Students and Their Learning Styles
Authors: Hernández Javier Alonso Zambrano , García Jorge Daniel Giraldo , García Dora Marcela Rodriguez 
Published: December 2024

Objective: To characterize socially, economically and culturally, as well as analyze the learning styles of Public Accounting students through a comprehensive diagnosis, and using the VARK model (Fleming & Mills, 1992) for the generation of Dendrograms.

Theoretical Framework: The theoretical framework that includes the design of didactic units (Tamayo, Ortega, & Ruiz, 2019), the VARK model (Fleming & Mills, 1992), the theory of learning styles (Honey & Mumford, 1982) complemented by Madrigal (2015), the theory of multiple intelligences (Gardner, 1983) and dendrograms under Ward's method (Gutiérrez Cabello & Salama, 2012).

Method: The method consisted of taking samples from three courses of a population of ten semesters of a Public Accounting program, data processing was carried out using the statistical software SPSS version 26.

Results and Discussion: The findings provided key information for the knowledge of students and their learning styles, providing empirical evidence that constitutes significant contributions to the field of education, allowing teaching activity to be reoriented in favor of flexible pedagogical approaches that transform the teaching-learning process, being susceptible to replication in any other Academic Program.

Research implications: The research generates empirical evidence by deeply approaching students' knowledge and their learning styles.

Originality/Value: This original academic product contributes to changing teaching in favor of deep learning based on the knowledge of the students of the Public Accounting program.
The Role of The University in the Development of Inclusive Entrepreneurship in the City of Pedernales
Authors: Méndez Denisse Loreth Aguilar , Santana Yadira Rosanna Robles , Arauz Mayra Jasmina Espinosa 
Published: December 2024

Objective: The primary objective of this research is to demonstrate the pivotal role that universities play in promoting inclusive entrepreneurship, with a particular focus on individuals with disabilities.

Theoretical Framework: This research centers on the university's role as a catalyst for social change, specifically its capacity to foster inclusive entrepreneurship and enhance the quality of life for people with disabilities. The study is rooted in the premise that universities, as institutions of learning and knowledge creation, have a responsibility to engage with the community and address pressing social issues. In this context, social entrepreneurship emerges as a strategy for generating employment opportunities and improving the living conditions of marginalized groups.

Method: This research employs a bibliographic approach, utilizing research techniques such as observation, interviews, and surveys of two market segments. Additionally, it presents the findings and a discussion of the topic.

Results and Discussion: The research on inclusive entrepreneurship in Pedernales has uncovered a latent opportunity to transform the employment landscape for individuals with disabilities in the canton. While significant challenges exist, such as low employment rates and a lack of effective public policies, key elements have been identified that can drive positive change.

Implications: The research on inclusive entrepreneurship in Pedernales carries significant implications at both the local and national levels, extending beyond academia to impact the social and economic spheres.

Originality/Value: The research on inclusive entrepreneurship in Pedernales exhibits notable originality by focusing on a specific context and population group, allowing for a detailed analysis of their unique needs and challenges.