bluuebunny/crossref_metadata_2025 huggingface dataset:
Representing Concepts by Weighted Formulas
Authors: Masolo Claudio  , Porello Daniele
Published: February 2025

A concept is traditionally defined via the necessary and sufficient conditions that clearly determine its extension. By contrast, cognitive views of concepts intend to account for empirical data that show that categorisation under a concept presents typicality effects and a certain degree of indeterminacy. We propose a formal language to compactly represent concepts by leveraging on weighted logical formulas. In this way, we can model the possible synergies among the qualities that are relevant for categorising an object under a concept. We show that our proposal can account for a number of views of concepts such as the prototype theory and the exemplar theory. Moreover, we show how the proposed model can overcome some limitations of cognitive views.
Advancing Estonian Machine Translation
Authors: Rikters Matīss  , Pinnis Mārcis  , Rozis Roberts
Published: February 2025

In this paper, we present Tilde's work on boosting the output quality and availability of Estonian machine translation systems, focusing mostly on the less resourced and morphologically complex language pairs between Estonian and Russian. We describe our efforts on collecting parallel and monolingual data for the development of better neural machine translation models, as well as experiments with various model architectures with the goal to find the best-performing model for our data. We attain state-of-the-art MT results by training a multi-way Transformer model that improves the quality by up to +3.27 BLEU points over the baseline system. We also provide a publicly available translation service via a mobile phone application.
The Legal Aspects of Using Data from Linguistic Experiments for Creating Language Resources
Authors: Klavan Jane  , Tavast Arvi  , Kelli Aleksei
Published: February 2025

The present paper focuses on linguistic experiments as a source of language resources (LRs). It addresses some of the legal requirements regulating their collection. The primary focus of the paper is on processing personal data (PD), especially how the General Data Protection Regulations (GDPR) defines personal data, and what it means to anonymize personal data.
The Role of Targeted Advertising with Vertical Differentiation on Direct Sales Channel Versus Distribution Channel
Authors: Zhao Jiang  , Wu Dan
Published: February 2025

Within vertical differentiation model, the role of targeted advertising on direct sales channel and distribution channel are studied. Compared to mass advertising, the firm using targeted advertising in distinct channels can benefit the firm's equilibrium profit by reducing the waste of advertising and enhancing the price of product. The manufacturer might use the targeted advertising to control the total profit of the channel. Meanwhile, the targeted advertising might reduce the retailer's profit as well as the total channel profit.
Grey Interval Linguistic Multiattribute Group Decision–Making Model for Evaluating Traffic Pollution Control Plans
Authors: Sun Bo  , Wei Ming  , Zhou Chencan  , Tao Huairen
Published: February 2025

This study aimed to demonstrate the evaluation of traffic emission control plans based on the group decision–making model. The model assigned values in the form of grey interval linguistic variables because of the uncertainty in their multiple attributes to create a group synthesis decision matrix. The optimal plan could then be determined by calculating the possible degrees of every plan that could define the ideal situation. The model could effectively deal with inaccuracy due to the uncertainty and multiple attributes of emission control plans compared with the existing studies. It ensured scientific and rational decision-making in the management and control of traffic-related emissions. Finally, four different emission control plans in a certain city were compared to verify the effectiveness of the model via a numerical example.
Application of Fuzzy Control to Observational Error Covariance Matrices for Data Assimilation
Authors: Bai Yu-Long  , Chang Ming-heng  , Xu Bao-xiong  , Ma Yong-jie
Published: February 2025

This article reviews the characteristics of two common localization methods in ensemble Kalman filter (EnKF) systems: covariance localization (CL) and local analysis (LA). To obtain better assimilation results, a new data assimilation system coupled with fuzzy control algorithms is proposed, named CF (covariance fuzzy) and FA (fuzzy analysis). Motivated by fuzzy control concepts that have been developed in the control engineering field for years, the proposed methods improve the normal localization method which behaves like a Gaussian function but reaches zero at finite radius. To explore the effects of the two new algorithms on the background error covariance matrix and the gain matrix, numerical experiments are designed using a classical nonlinear model (i.e., the Lorenz-96 model). The experiments show that the new algorithms can eliminate spurious correlation of the background error covariance matrix. Additionally, with an increase of the assimilation intensity, the gain matrix followed by the update of the new algorithm. Finally, the experimental results demonstrate that the new algorithm has more robust performance than the common algorithm.
Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging
Authors: Buhagiar Juan  , Strisciuglio Nicola  , Petkov Nicolai  , Azzopardi George
Published: February 2025

Visual Lifelogging is the process of keeping track of one's life through wearable cameras. The focus of this research is to automatically classify images, captured from a wearable camera, into indoor and outdoor scenes. The results of this classification may be used in several applications. For instance, one can quantify the time a person spends outdoors and indoors which may give insights about the psychology of the concerned person. We use transfer learning from two VGG convolutional neural networks (CNN), one that is pre-trained on the ImageNet data set and the other on the Places data set. We investigate two methods of combining features from the two pre-trained CNNs. We evaluate the performance on the new UBRug data set and the benchmark SUN397 data set and achieve accuracy rates of 98.24% and 97.06%, respectively. Features obtained from the ImageNet pretrained CNN turned out to be more effective than those obtained from the Places pre-trained CNN. Fusing the feature vectors obtained from these two CNNs is an effective way to improve the classification. In particular, the performance that we achieve on the SUN397 data set outperforms the state-of-the-art.
Neuro-Immune Algorithm for Embedded Real-Time Control System in Transport Safety Tasks
Authors: Ribickis Leonids  , Gorobetz Mikhail  , Levchenkov Anatoly
Published: February 2025

The paper proposes the solutions for applying the adaptive real-time control algorithms, embedded devices and unmanned aerial vehicles to minimize the risk of collisions in different transport systems. The main goal of the research is to develop the adaptive algorithms for transport control and optimization. The proposed anti-collision system (TACS) is based on artificial immune system concept on the neural network basis with the real-time ability of self-training to detect potentially dangerous states of the system and perform the actions to avoid and prevent crashes caused by collisions of vehicles.
Service Robots from the Perspectives of Information and Machine Ethics
Authors: Bendel Oliver
Published: February 2025

Service robots are becoming ever more pervasive in society-at-large. They are present in our apartments and our streets. They are found in hotels, hospitals, and care homes, in shopping malls, and on company grounds. In doing so, various challenges arise. Service robots consume energy, they take up space in ever more crowded cities, sometimes leading us to collide with them and stumble over them. They monitor us, they communicate with us and retain our secrets on their data drives. In relation to this, they can be hacked, kidnapped and abused. The first section of this article presents different types of service robots—like security, transport, therapy, and care robots—and discusses the moral implications that arise from their existence. Information ethics and machine ethics will form the basis for interrogating these moral implications. The second section discusses the draft for a patient declaration, by which people can determine whether and how they want to be treated and cared for by a robot. However, individual specifications may violate personal interests or the business interests of the hospital or nursing home. The author argues such a patient declaration will be vital in a world ever more impacted by these service robots.
Segmenting U.S. Court Decisions into Functional and Issue Specific Parts
Authors: Šavelka Jaromír  , Ashley Kevin D.
Published: February 2025

In common law jurisdictions, legal research often involves an analysis of relevant case law. Court opinions comprise several high-level parts with different functions. A statement's membership in one of the parts is a key factor influencing how the statement should be understood. In this paper we present a number of experiments in automatically segmenting court opinions into the functional and the issue specific parts. We defined a set of seven types including Background, Analysis, and Conclusions. We used the types to annotate a sizable corpus of US trade secret and cyber crime decisions. We used the data set to investigate the feasibility of recognizing the parts automatically. The proposed framework based on conditional random fields proved to be very promising in this respect. To support research in automatic case law analysis we plan to release the data set to the public.
Hybrid DWT-FFT Features for Detecting Freezing of Gait in Parkinson's Disease
Authors: El-Attar Amira  , Ashour Amira S.  , Dey Nilanjan  , El-Kader Hatem Abd  , El-Naby Mostafa M. Abd  , Shi Fuqian
Published: February 2025

This work integrated several features extraction techniques for a raw sensor data from a wearable assistant consists of three accelerometers sensors for patients suffered from Parkinson's disease (PD) and Freezing of Gait (FOG) symptom during their movement. We considered three types of transformation, namely the one-dimensional Discrete Wavelet Transform (1D DWT), the two-dimensional Discrete Wavelet Transform (2D DWT), and the Fast Fourier Transform (FFT). The extracted features from these transformations were applied to machine learning methods, such as Artificial Neural Network (ANN) to detect FOG. The proposed hybrid system integrates the extracted features from 1D DWT and FFT concluding a total of fifteen extracted features. These hybrid features are then used during the classification process using the ANN that established accuracy of 96.28% for PD detection. The results established that the hybrid 1D DWT-FFT features has the ability to build a robust classification model to detect the FOG accurately.
Information on SCIE Article Output on Transportation Engineering from China
Authors: Yan Yan
Published: February 2025

Article output of Chinese transportation engineering and its international effect are the objects of this paper. The SCI online version database (SCI Expanded) as statistical original data to inspect the article output of transportation engineering issued by Chinese author. Having been data cleaning and carding, the science of bibliometric parameters and the cointegration theory are used to calculate the following key elements of research output of transportation engineering, including overall proportion, issuing trends over the years, types of WOS article, and international cooperation relationship of articles, funding institutions, issuing agency and article impact factors. A scient metric analysis of the articles published by Chinese author in the field of transportation engineering is employed. As a consequence, there is marked features in term of quantity and quality of output in transportation engineering. The paper also has quantitative analysis of the general situation of article output of Chinese transportation engineering to provide reference of scientific positioning of development level. In conclusion, this analysis could contribute to the knowledge of scientific output related to transportation engineering field in China.
Concurrent Composition of I/O Redundancy Behaviors in Go
Authors: Jensen Klaus Birkelund  , Vinter Brian
Published: February 2025

The Go programming language defines simple I/O interfaces that any data type may implement. In this paper we introduce a Go package that allows arbitrary implementations of these interfaces to be composed into RAID-like redundant (and/or) high-performance striped arrays. The package also allows spares to be added for fail-over functionality. The package is focused on providing a highly available write setting that tolerates multiple failures but can always receive data as long as a single redundant path exists. This is achieved by allowing reads to become unavailable in the presence of failures that cannot be solved while the array is operating.
Lossy Channels in Bohrium
Authors: Kristensen Mads R.B.  , Avery James E.
Published: February 2025

In this paper, we introduce a new channel to the Bohrium runtime system that supports lossy compression of data. This channel makes it possible for a local user to offload calculation and data heavy processing to a remote server and still be able to visualize the data over a modest network connection. The new lossy channel supports a fixed frame rate mode where the user can specify a desired frame rate that the lossy channel will maintain. In order to maintain a frame rate, the lossy channel will dynamically adjust the quality setting of the lossy encoding.
Deriving Reusable Go Components from Verified CSP Prototypes
Authors: Dibley James  , Bradshaw Karen
Published: February 2025

This paper presents a modelling approach and software tool support for automatically deriving reusable Go components from CSP prototypes that preserves compatibility with existing CSP verification tools. Using the example of a concurrent component that generates prime numbers, the paper demonstrates how to model and verify a parameterised concurrent component in machine-readable CSP, and presents the software tool's automatically-derived implementation of this model as a reusable Go component.
Workshop on Translating CSP-Based Languages to Common Programming Languages
Authors: Vinter Brian  , Dickson Lawrence J.  , Dibley James
Published: February 2025

Programming in CSP style has traditionally been done in occam, or languages such as CSPMfor more formal verification. Occam has been in a frozen state for almost 30 years, though a runnable toolset is still available on transputer.net, and code can be targeted to Gavin Chase's Transputer Emulator and to the Transterpreter. Getting to a setup where one may compile and run occam programs with the more recent KROC occam-Pi is non-trivial, and getting the compiled occam-Pi code to run on different platforms is even more work.
Distributed computing and storage strategy for massive high resolution image data
Authors: Li Guozhang , Alfred Rayner , Wang Yetong , Xing Kongduo
Published: February 2025

With the continuous development of science and technology, it has become possible to acquire and process massive high-resolution image data. The amount of high-resolution image data is huge, and the traditional single-machine computing and processing methods may become inefficient, which is difficult to meet the needs of real-time or large-scale data processing. This article selected a high resolution satellite remote sensing image from the Landsat dataset for processing. Gaussian filtering was used to denoise the image, followed by K-means algorithm for image segmentation. The image data was then transmitted and stored and the results of image data processing were merged. Data processing efficiency and storage space utilization were analyzed for different data segmentation and storage methods. According to the experimental results, it could be concluded that the method of image resolution segmentation not only had fast processing speed, but also produced higher data quality. The storage space utilization rate using AWS S3 (Amazon Simple Storage Service) storage solution was the highest, reaching a maximum of 0.98. The response time was the shortest, around 100 ms. AWS S3 showed the highest read speed, between 147 MB and 154 MB per second. It could be seen that when processing massive high resolution image data, appropriate segmentation methods and storage schemes should be selected. The research and application of distributed computing and storage strategies for massive high resolution image data posed certain theoretical and technical challenges, which could promote the development of distributed computing and storage technology, technological progress and innovation in related fields.
Colorism in Advertising: A Qualitative Analysis of Fairness Cream TVCs in India, Pakistan, and Bangladesh (2011–2020)
Authors: Akram Himika
Published: February 2025

This study critically examines the portrayal of fair skin as an ideal beauty standard in fairness cream television commercials (TVCs) from India, Pakistan, and Bangladesh between 2011 and 2020. Through a qualitative content analysis of 21 commercials featuring 17 brands, the research explores gendered narratives, emotional associations, and visual aesthetics used to reinforce colorism. Findings reveal a dominance of female primary characters (15 out of 21 TVCs) and a recurring association between fair skin and confidence (10 TVCs), happiness (11 TVCs), and social validation. Male-focused TVCs (5) frequently incorporated humor, while female-centric ones lacked comedic elements. Additionally, a strong correlation emerged between product packaging colors and dominant visual themes. Color grading techniques and wardrobe changes emphasized "before-and-after" transformations in 8 TVCs, subtly reinforcing fairness as a marker of success and desirability. Applying Cultivation Theory and Reinforcement Theory, this study highlights how these advertisements perpetuate societal beauty standards, gender biases, and deep-rooted cultural perceptions of skin tone. The findings underscore the need for responsible advertising and broader discussions on dismantling colorist narratives in media.
Smart Machine Fault Detection System Using IOT
Authors: Dr S Usha  , Ch Yamini Lakshmi  , D Pavani  , G Bhagya Raj  , K Vasanth Kumar
Published: February 2025

The loss of one phase of a three-phase Induction Motor (IM) is one of the main causes of motor failure due to overheating. Several protection devices protect IM against this fault, but the majority of conventional devices lack a thorough classification of this type of fault. So, this paper introduces a high-efficiency protection scheme to detect and classify in detail 15 types of faults that can occur due to a phase loss of a three-phase IM. These faults are classified according to the defective phase, fault location either from the power source or beyond the relay point, and motor action modes (standstill mode, transient mode, and steady state mode). One of the advantages of the presented protection method is that it is suitable for many motors because the inputs to the proposed scheme are the per-unit values of both RMS line-line voltages and line currents. The proposed scheme has been validated and tested using MATLAB Simulink under normal conditions and different faults for phase loss, during and after disconnecting the motor, and after pushing the restart button. The simulation results show that the proposed scheme behaves with high efficiency and it is able to detect and classify correctly the phase loss faults for three-phase IM within 1.5 cycles (30 ms) of the fault inception. Thus, the proposed scheme can be used as a simple and reliable scheme in the protection system of a 3-phase IM to detect and classify the different types of phase loss faults.
Optimizing API Gateway Performance with Serverless Architectures: A Comprehensive Analysis
Authors: Sujeeth Reddy Pasham
Published: February 2025

This article explores the optimization of API gateway performance through the implementation of serverless architectures. It delves into the fundamental concepts of serverless computing and its integration with API gateways, examining how this combination addresses key challenges in scalability, cost-efficiency, and security. The article discusses various strategies for performance optimization, including minimizing latency, implementing dynamic scaling, and reducing costs through efficient resource utilization. It also addresses critical security concerns and solutions specific to serverless environments. The article further explores the integration of cloud-native features and database strategies to enhance reliability and scalability. Through a series of real-world case studies, the article demonstrates the practical applications and benefits of serverless API gateways across different industries. While acknowledging the challenges and limitations of this approach, such as cold start issues and vendor lock-in concerns, the article also looks ahead to future developments in the field, including potential advancements in security, performance, and integration with emerging technologies like edge computing and 5G networks. Overall, this comprehensive article analysis provides valuable insights for developers, architects, and decision-makers looking to leverage serverless architectures for API management in modern, distributed applications.
Navigating the SAP Data Analysis Landscape: Opportunities and Challenges
Authors: Sadasiva Rao Athota
Published: February 2025

This article explores the opportunities and challenges associated with data analysis using SAP, a leading enterprise resource planning system. It examines how SAP's comprehensive data integration capabilities, advanced analytics tools, and real-time processing features can revolutionize organizational decision-making and operational efficiency. The article discusses key benefits such as centralized data access, holistic analysis capabilities, and scalability for growing businesses. However, it also addresses significant challenges, including implementation complexity, data quality concerns, potential for data siloing, and the need for specialized skills. The article further outlines strategies for maximizing SAP's data analysis benefits, focusing on establishing robust data governance practices and strategic implementation planning. By providing a balanced view of SAP's potential in data analysis, this article aims to guide organizations in leveraging SAP effectively, highlighting the importance of addressing challenges while capitalizing on opportunities to enhance data-driven decision-making and maintain competitiveness in the digital age.
Connected Vehicle Systems: A Comprehensive Analysis of Technological and Societal Transformations
Authors: Utham Kumar Anugula Sethupathy
Published: February 2025

Connected vehicle systems are revolutionizing transportation through comprehensive integration of vehicle-to-vehicle, vehicle-to-infrastructure, and vehicle-to-pedestrian communications. This technological transformation encompasses multiple domains, from safety and traffic management to urban development and environmental sustainability. These systems enable sophisticated collision prevention, enhance emergency response capabilities, and facilitate dynamic traffic management through real-time data exchange. In urban environments, these technologies are reshaping city development through smart infrastructure integration and optimized resource allocation. Environmental benefits are achieved through eco-driving initiatives, electric vehicle integration, and emissions reduction strategies. The implementation of these systems presents significant social and educational implications, requiring comprehensive public awareness programs and addressing digital divide considerations. Privacy and security frameworks ensure data protection while maintaining system functionality. The advancement of connected vehicle technologies represents a fundamental shift in transportation, requiring careful consideration of technical capabilities, infrastructure requirements, and societal impacts. This comprehensive analysis examines the current state of implementation, challenges, and future directions, highlighting the transformative potential of connected vehicle systems in creating safer, more efficient, and sustainable transportation networks.
ПСИХОЛОГІЧНІ ХАРАКТЕРИСТИКИ МАСОВИХ ЗАХОДІВ ТА ЇХ ВИВЧЕННЯ З МЕТОЮ ПОПЕРЕДЖЕННЯ ПЕРЕТВОРЕННЯ МАСОВИХ ЗАХОДІВ У МАСОВІ ЗАВОРУШЕННЯ
Authors: Свистович Роман
Published: February 2025

У науковій статті встановлено, що масові заходи на сьогодні є досить важливим аспектом соціального життя України. Разом з тим масові заходи можуть переростати у масові заворушення, які негативно впливають на стосовно охорони публічного порядку та публічної безпеки , а також на спокій у містах де вони проводилися. Таким чином необхідно розробляти і застосовувати різноманітні форми і методи протидії перетворення слід зазначити на масові заворушення. У статті обґрунтовано і проаналізовано цілий ряд теоретичних і практичних джерел стосовно попередження масових заворушень, які були розроблені дослідниками. Водночас, відмічено, що в процес розробки форм і методів попередження переростання масових заходів у масові заворушення розглядалися аспекти тільки з точки зору правоохоронних органів. Тому необхідно враховувати також думки психологів, соціологів, економістів та інших галузей знань, які впливають на масові заходи Обґрунтовано що психологічні характеристики учасників масових заходів мають певні співпадіння, проте в кожному конкретному випадку необхідно враховувати різноманітні фактори, які можуть призвести до переростання масових заходів у масові заворушення Зроблено висновок, що кожен масовий захід є певною мірою унікальним, але питання психологічного забезпечення протидії переростання масових заходів у масові заворушення можуть бути розроблені загальними і тому напрями такої розробки мають стати пріоритетом для науковців у сфері правоохоронних органів Розглядаючи питання переростання масових заходів у масові заворушення необхідно враховувати таких психологію натовпу, адже доведено, що людина яка перебуває у натовпі в переважній більшості розчиняється як окрема особа і під впливом натовпу може здійснювати дії, які б вона не здійснювала поза натовпом. Тому запропоновано також класифікацію натовпів, яка б допомагала у вирішенні проблеми переростання масового заходу у масові заворушення.
ПРАВОВЕ РЕФОРМУВАННЯ КІБЕРЗАХИСТУ
Authors: Флис Іван
Published: February 2025

Кібербезпека та боротьба з кіберзлочинністю в умовах інтеграційних процесів постійно потребують системних змін засобів і методів в регулюванні та впровадженні новітніх правових і високотехнологічних рішень. Закордонний досвід функціонування системи правового регулювання боротьби з кіберзлочинністю для нашої країни обумовлений загостренням ситуації зі збільшення обсягів злочинної діяльності в кібермережах і повільної на державному рівні передової розвиненості в даній сфері. Масштаби мережі Інтернет свідчать про відсутність локального функціонування окремих елементів кіберзлочинності в межах держави чи регіону, тому у будь-якому випадку національне законодавство повинно відповідати загальновизнаним, світовим стандартам у цій сфері для можливостей доцільної міжнародної співпраці. Окрім того, процес формування чи становлення системи правового регулювання протидії кіберзлочинності неможливий без урахування помилок і досягнень, допущених при формуванні концепції протистояння в окремо взятих країнах. Подальший розвиток системи захисту кіберпростору України від кібератак залежить від рівня взаємодії зацікавлених сторін: держави, громадян, науково-технічних систем, приватних господарств і полягає у розробленні новітніх інформаційно-комунікаційних технологій, законодавчої та нормативної бази, системи навчання населення безпечному використанню кіберпростору. Нині в обігу нове поняття – «кібервійна», що вказує на глобально-піратське використання мережі Інтернет, технічних та інформаційних засобів будь-якою країною-агресором, що за мету має заподіяння шкоди економічній, політичній, технічній, військовій та інформаційній безпеці та суверенітету будь-якої держави. Оцінка нормативно-правових аспектів забезпечення інформаційної безпеки як складової національної безпеки України викликає застереження до рівня безпеки її національних інтересів в інформаційній сфері, та передбачає пріоритетні заходи у нормативно-правовому впорядкуванні правотворчого процесу у сфері протидії кіберзагрозам.
INCREASED PRODUCTION OF TS-1 JET FUEL BY COMPOUNDING KEROSENE OF VARIOUS ORIGINS
Authors:   LLC «Lukoil-Nizhegorodnefteorgsintez», Karpov A.N. , Tarasov A.V. ,   Yaroslavsky State Technical University, Suleymanov A.N. ,   PJSC «Slavneft-YANOS», Borisanov D.V. ,   PJSC «Slavneft-YANOS»
Published: February 2025

Increasing the output of jet fuel is an important aspect of increasing the marginality of production at a modern refinery. The introduction of new refining processes requires high monetary and time costs, so it is necessary to take a fresh look at well-studied processes. In this work, based on an in-depth study of the dependence of the physico-chemical properties of narrow fractions of kerosene of various origins on their structural group composition, the possibility of increasing the selection of TS-1 jet fuel to 20% by weight for oil due to the expansion of the fractional composition of hydrocracking kerosene (HA) and straight-run kerosene (PG) is shown. At the same time, for these components, a number of values of indicators provided for by GOST go beyond the required ones. When the composition of kerosene HA and PG is mixed, there is mutual compensation for the insufficient properties of kerosene HA (lower heat of combustion, height of non-smoking flame, aromatics content) and PG (crystallization onset temperature, sometimes total sulfur). Thus, we can talk about the synergistic effect of mixing kerosene of various origins, which allows us to significantly increase the production of TS-1 jet fuel. The result of the work on increasing the yield of jet fuels can be used at existing oil refineries.
Paraninfo de la Universidad de Guadalajara. Tiempo, arte y espacio
Authors:   Universidad de Guadalajara, Villanueva Lomelí Ricardo , Correa Ceseña Carlos ,   Universidad de Guadalajara, Anaya Wittman Marcela Sofía , Cortes Guardado Marco Antonio , Arteaga Garibay Reynalda Maribel
Published: February 2025

El edificio Reforma, que aloja el Paraninfo de la Universidad de Guadalajara, es una de las construcciones centrales en la historia del Jalisco del siglo XX. En este libro, Carlos Correa describe con claridad las etapas de su construcción y la historia de esta edificación que es testigo de la evolución de la educación, el arte y la historia en Jalisco.

El libro hace también describe las obras pictóricas que visten al Paraninfo y además hace un recorrido por el Museo de las artes, también alojado en el edificio Reforma.

En este volumen se recorre el tiempo, el arte y el espacio de una de las insignias de Guadalajara y, sobre todo, el corazón de la Universidad de Guadalajara.
“Wish you weren’t here” – the overtourism phenomenon
Authors: Zupan Korze Sasa
Published: February 2025

The paper is focused on the multilayered phenomenon of overtourism, which is in certain attractive tourist destinations increasingly considered as excessive or harmful. Huge challenges in the daily life of local communities as well as the negative impact on the unique and precious environment and, consequentially, steadily growing anti-tourism sentiments are pushing political decision makers on local and regional levels to act with the aim of reducing tourism influx to some destinations. The research points at key drivers that causes overtourism (traditionally strong seasonality of tourist demand, the growth of world middle-income class with more time and money to be spent for travel, the emergence of low-carriers, new types of accommodations, the possibility of self-organized low-budget holidays, a huge impact of the social media/platforms). To the internationally known examples of overtourism (Venice, Dubrovnik, Amsterdam, Machu Pichu, Oahu, Galapagos, Nepal and Altamira) and countermeasures (such as entry tax to the cities/destinations and states, ban of cruise ships, high daily tourist tax, reduction of hotels and short-term rentals of private accommodations, ‘respect the city’ campaigns, discouraging certain types of tourists’ behavior, obligatory booking and specific time slot for visiting certain attractions), we added two examples of potentially overtourism sites in Slovenia.

Keywords:

Overtourism, negative impacts, countermeasures
Representaciones sociales de paternidad en jóvenes y adultos varones en contexto transfronterizo
Authors: Díaz-Flores Daniela Patricia , Torres-López Teresa Margarita
Published: February 2025

El objetivo del estudio es analizar las representaciones sociales (RS) el concepto de paternidad en jóvenes estudiantes y adultos padres de familia en contextos transfronterizos de la zona de Baja California (B.C.), México. Se utilizó metodología cualitativa con métodos de asociación libre como los listados libres y análisis de las respuestas a partir de categorías temáticas. Los jóvenes presentan una mayor preocupación por los aspectos económicos que representa la paternidad y los varones que son padres de familia identificaron la importancia del padre en la dinámica familiar.
Pensar la educación universitaria indígena desde el paradigma de la complejidad
Authors: Anchondo-Aguilar Addy , Mancera-Valencia Federico Julián , Ortega-Rodríguez Anabel
Published: February 2025

La presente investigación aborda la problemática del paradigma de la complejidad en estudiantes universitarios pertenecientes a grupos étnicos, quienes enfrentan diariamente su realidad académica dentro de las aulas universitarias. La investigación biográfico-narrativa, que incluye el diseño de trabajo de campo, considera la pertinencia de emplear tanto métodos cuantitativos descriptivos como cualitativos, a través de las historias de vida, la recolección y el almacenamiento de datos, así como su análisis e interpretación. El objetivo principal es comprender la complejidad de su entorno estudiantil. Entre los resultados obtenidos, se observa que los estudiantes Ralámuli abandonan su lugar de origen para ingresar al ámbito universitario, enfrentándose a nuevos retos para poder mantenerse dentro del sistema educativo tradicional. Esto afecta sus creencias culturales, pero, sobre todo, resalta la complejidad de ubicarse en el sistema universitario, donde se ven obligados a crear nuevas formas de sentir, pensar y actuar, generando así una nueva realidad en su entorno. Esto, a su vez, abre el debate sobre el paradigma de la complejidad.
Interpretaciones, discursos y contradicciones: Maximiliano de Habsburgo, el liberal
Authors: Peña López Andrés Eduardo
Published: February 2025

El artículo hace un análisis histórico sobre el liberalismo promovido por Maximiliano de Habsburgo durante el Segundo Imperio. Las similitudes y diferencias que mantuvo con el liberalismo decimonónico mexicano. Todo esto, a través de los principales postulados políticos del Estatuto Provisional del Segundo Imperio, las políticas que Maximiliano adoptó en favor del establecimiento del Imperio y la propia visión mexicana. Estos postulados terminaron por sufrir una serie de cambios ad hoc a las presiones del momento que lo alejaron de un proyecto nacional. El trabajo demostró las deficiencias que presenta el liberalismo como categoría de análisis y, al mismo tiempo, una suerte de problemas que el concepto ha acarreado en la producción histórica, en particular, ha imposibilitado adherir el Segundo Imperio Mexicano como un proceso formativo que es parte de la historia mexicana. En su lugar su estudio y enseñanza se ha inscrito como un episodio ajeno a la historia mexicana.
La Transición Educación-Mercado de trabajo desde la Teoría Cognitivo Social: revisión conceptual e investigación contemporánea
Authors: Ruvalcaba Coyaso Francisco Javier
Published: February 2025

El objetivo del artículo, es llevar a cabo una revisión y análisis conceptual de la transición que se presenta en jóvenes adultos, del escenario académico al mercado de trabajo. La propuesta del artículo es acercarse a las conceptualizaciones del fenómeno y particularmente del papel que ha ocupado la Teoría Cognitivo Social de Bandura. La atención en ésta Teoría, se debe a su consistencia y robustez a la hora de explicar la relación entre rasgos cognitivo sociales e incorporación laboral. La transición educación-mercado de trabajo, demanda la puesta en marcha de habilidades que la faciliten: la autoeficacia percibida, las expectativas y autoevaluaciones, en el plano cognitivo, son variables explicativas de éxito o fracaso en la incorporación laboral. En el plano social, habilidades como la socialización anticipatoria, la adopción de un rol y el capital social relacional, se asocian también con la incorporación laboral. Se lleva a cabo un análisis de los factores condicionantes de carácter social implicados en el proceso de transición educación-mercado de trabajo, una revisión conceptual del concepto transición, y una revisión conceptual de la Teoría Cognitivo Social y las aplicaciones en el campo de la investigación.
La demanda de carne bovina en el Estado de México, Ciudad de México y Jalisco, 2000-2020
Authors: Rebollar-Rebollar Eulogio , Rebollar-Rebollar Samuel , Del Moral-Barrera Laura Elena , Guzmán-Soria Eugenio
Published: February 2025

La carne de bovino es una de las más importantes en México, debido a que aporta muchos beneficios y nutrimentos al organismo, es rica en zinc, que ayuda a la cicatrización de la piel y para crear hemoglobina y Hierro. El objetivo fue cuantificar la sensibilidad de la demanda de carne bovina en tres entidades de México, se utilizó una regresión de doble logaritmo e información anual de 2000-2020. Las variables regresoras fueron precio del bovino, precio del porcino e ingreso por persona. Los resultados mostraron un efecto inelástico al precio en -0.21, -0.16 y -0.04, al ingreso (0.24, 0.58 y 0.05) y al precio del porcino (0.07, 0.52 y 0.11). Se evidenció que en el Estado de México el ingreso y precio del bovino concibieron efecto significativo; en Ciudad de México y Jalisco, el ingreso y precio del cerdo impactaron mayormente en el comportamiento del consumo de carne bovina.
Transnumeración y argumentación: Procesos clave para la construcción de evidencias cuantitativas en la investigación en estudiantes de posgrado
Authors: Eudave-Muñoz Daniel , Alfonso-Páez David , Macías-Esparza Ana Cecilia , García-Gaytán Martha Cinthia , Rodríguez-Ponce Lucía Magdalena
Published: February 2025

La transnumeración es un tipo de razonamiento estadístico que considera desde diferentes perspectivas los análisis más idóneos, así como las representaciones que comuniquen los resultados de una investigación. El objetivo del estudio es describir los procesos de transnumeración que realizan estudiantes de posgrado para dar sentido a sus datos, y para construir los argumentos con los que dan cuenta de los objetivos de su investigación-tesis. Se muestran los resultados de entrevistas basadas en tareas realizadas a 14 estudiantes de posgrado del área de las ciencias sociales y administrativas, en las que se exploran diferentes estrategias transnumerativas y tipos de argumentos ofrecidos por las y los participantes. Los resultados muestran que la transnumeración permitió revalorar la naturaleza de las variables consideradas en los análisis que hicieron los estudiantes de sus datos empíricos, así como de sus posibilidades de transformación.
Eliminación de coliformes fecales en lagunas anaerobias utilizando un método gráfico
Authors: Cortés-Martínez Facundo , Espinoza-Fraire Arturo Tadeo , Camporredondo-Reyes Francisco Luis , Zamora-Ríos Rosa Angélica
Published: February 2025

Las lagunas anaerobias realizan la remoción de materia orgánica en ausencia de oxígeno y deben diseñarse considerando lagunas facultativas o aireadas, con el fin de continuar con el tratamiento y a la vez re oxigenar el agua residual. El propósito del presente documento es determinar dos gráficas para calcular la eliminación de coliformes fecales. Se incluye un ejemplo de aplicación con el método tradicional adoptado por el Instituto Mexicano de Tecnología del Agua y la Comisión Nacional del Agua, posteriormente se utilizan las gráficas elaboradas previamente. Los resultados muestran los mismos valores calculados con el criterio tradicional.
Optimización de un intercambiador de calor tipo serpentín mediante un algoritmo genético
Authors: Del Castillo-Tinajero Ricardo , Rodríguez-Morales Esperanza , Montes-Rodríguez José Julián III
Published: February 2025

Se presenta el desarrollo de un sistema formado por un algoritmo de diseño/cálculo de intercambiadores de calor tipo serpentín y un algoritmo genético para optimización; el primero considera variables de importancia en el diseño de intercambiadores de calor, y el segundo explora aleatoriamente, en el primero, diferentes combinaciones de estas variables. El objetivo es optimizar el calor transferido y la caída de presión, expresadas a través de la relación, y el número de tubos por fila. Para el algoritmo genético las variables de entrada se restringen a rangos que estén dentro de lo físicamente funcional. Se obtuvieron valores optimizados de 11012 W para , 15.44 kPa para , y 18 tubos/fila para. El valor optimizado de  representa incrementos de 43% y 31% en comparación con el valor más alto observado en los experimentos y con el valor de diseño obtenido con un paquete computacional comercial, respectivamente.
Estudio preliminar para generar cruzas entre siete progenitores de papa
Authors: Saavedra-Guevara Claudia , Pérez-López Delfina de Jesús , González-Huerta Andrés , Franco-Martínez José Ramón Pascual
Published: February 2025

Los planes de cruzamiento son un prerrequisito para caracterizar variedades de papa que son utilizadas en programas de mejoramiento genético, producción de semilla, así como para generar, validar, aplicar y transferir tecnología. El objetivo principal del presente estudio fue realizar todos los cruzamientos entre siete progenitores, pero sólo 26 cruzas se realizaron y 12 de éstas produjeron fruto. Los mejores progenitores masculinos fueron Caesar, Fianna y Orquesta. La mejor cruza fue Atlantic x Cesar, seguida de Fianna x Cesar (147 y 135 semillas por fruto, respectivamente).
Un modelo fraccionario para el análisis de setas comestibles: Análisis y simulación usando el esquema L1
Authors: Serna-Reyes Adán Jair , Macias-Diaz Jorge Eduardo , Romo-Rodríguez Pamela
Published: February 2025

En esta investigación se presenta un método numérico de un sistema de ecuaciones diferenciales derivadas de la función logística que modela el crecimiento de poblaciones, particularmente para el crecimiento del área y radio de una especie de hongo, el modelo es una corrección fraccionaria con derivadas temporales de Caputo. El sistema tiene puntos de equilibrio: un nodo atractor y uno repulsor. Con un teorema de punto fijo, se verifica la existencia de soluciones, también se prueba la estabilidad asintótica de las mismas. Numéricamente se utilizan diferencias finitas L1 para aproximar las derivadas fraccionarias, se verifica que el orden de convergencia del método es lineal (en concordancia con el orden de consistencia de las diferencias L1), este método es explícito y converge a la solución del modelo continuo. Finalmente se realizan simulaciones del crecimiento radial y del área con diferentes valores para la derivada fraccionaria que concuerdan con el análisis previo.
Pengaruh Pelayanan Informasi Obat Tb Paru Dengan Media Audio Visual Terhadap Tingkat Pengetahuan Pengawas Menelan Obat (PMO) Tuberculosis Paru Di Puskesmas X Di Kota Jambi
Authors: Putra Rizky Yulion , Sutrisno Deny , Munti Putri Delina Cupa
Published: February 2025

Kejadian tuberkulosis masih menjadi permasalahan di Indonesia. Keberhasilan penyembuhan tuberkulosis sangat tergantung pada kepatuhan penderita dalam minum obat. Supaya penderita patuh, pengawas menelan obat (PMO) wajib mempunyai pengetahuan yang baik tentang tuberkulosis. Riset ini bertujuan buat mengenali pengaruh pelayanan data obat TB paru lewat media audio visual terhadap tingkatan pengetahuan PMO TB Paru di Puskesmas X Kota Jambi. Desain riset yang digunakan merupakan kuantitatif dengan pendekatan Quasi- eksperimental. Riset dilaksanakan di Puskesmas X Kota Jambi pada bulan Mei hingga Juni 2024. Sampel penelitian terdiri dari 35 orang PMO yang dipilih. Rata-rata skor pengetahuan sebelum pemberian informasi obat TB paru melalui media audio visual adalah 17,31 dan meningkat menjadi 19,74 setelah intervensi. Analisis bivariat menemukan adanya pengaruh signifikan dari pemberian informasi obat melalui media audio visual terhadap pengetahuan PMO TB Paru di Puskesmas X Kota Jambi( p- value=0, 000). Bersumber pada hasil riset bisa disimpulkan kalau pemberian data obat lewat media audio visual efisien tingkatkan pengetahuan PMO TB Paru. Diharapkan Puskesmas menggunakan media audio visual dalam edukasi tuberkulosis kepada masyarakat.
The Impact of the “Double Reduction Policy” on Private Supplementary Tutoring in Academic Disciplines: A Mixed Study
Authors: Li Zuer
Published: February 2025

This study investigates the impact of the "Double Reduction" policy on the demand for private supplementary tutoring in academic disciplines in China. The policy, implemented to reduce the academic burden on students, has significantly regulated private supplementary tutoring institutions. However, it remains unclear whether the policy has diminished the demand for such tutoring. Using a mixed-methods approach, including a nationwide survey and interviews with parents and educators, this research explores parents' attitudes towards the policy and their continued reliance on tutoring to support their children's education. Findings reveal that while the policy has reduced the availability of tutoring services, demand persists, particularly among urban and higher-educated parents, due to persistent concerns about academic competition and educational inequality.