bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Urban Expansion and Land Use and Land Cover Dynamics of Ado-Ekiti Local Government of Ekiti State, Nigeria
Authors: Ogunlade Idowu Adewale , Olatunji Abiodun Johnson , Adegboyega Emmanuel Rotimi , Reinhard Oni Abiodun
Published: February 2025

This study examined the pattern of Land Use and Land Cover Change (LULCC) in Ado-Ekiti being the only town and headquarters of Ado-Ekiti Local Government as well as the capital of Ekiti State, Nigeria for thirty-six years between 1985 and 2021 using Remote Sensing and Geographical Information System techniques covering four epochs. Seven Land Use and Land Cover (LULC) classes including Agricultural Land (AL), Barren Land (BL), Built Up Area (BU), Forest Land (FL), Range Land (RL), Water Body (WB) and Wet Land (WL) were identified in Ado-Ekiti Local Government based on USGS/Anderson’s classification model. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI and TIRS images were acquired for the supervised digital image classification using Arc GIS 10.8, ENVI 8.3 and DIVA GIS software. The results obtained showed that between1985 to 2021 Built Up Area (BU) increased by about 80.98%, that is, by about five times. There was decline in Forest Land (FL), Water Body (WB) and Wet Land (WL) but increase in Agricultural Land (AL), Barren Land (BL) and Range Land (RL). After the presentation of the results, recommendations were made on the need for continuous collection, analysis, interpretation and updating of data in the study area to monitor developments in order to aid quick response in decision making by appropriate authorities.
A study on consumer awareness and purchasing behavior of finger millet products in Coimbatore
Authors: Monika K , Samsai T , Velavan C , Parimalarangan R , Ramalingam G S
Published: February 2025

This study investigates consumer awareness and preferences for finger millet (Eleusine coracana) products in Coimbatore, Tamil Nadu, India. As a nutritionally dense cereal crop, finger millet has gained attention for its potential to address malnutrition and lifestyle diseases. The research assessed awareness of its nutritional benefits, factors driving purchasing decisions and product preferences among urban consumers. A structured questionnaire-based survey was conducted with 150 respondents selected through simple random sampling. The study revealed higher awareness levels of finger millet's nutritional value among younger (21-30 years, 51.64 % highly aware) and female (39.77 % highly aware) consumers. Factor analysis identified product-related aspects, such as nutritional value and convenience, as key influencers in purchasing decisions, explaining 45.19 % of the variance. Preferred product forms included finger millet flour (23 %), noodles (20 %) and porridge (18 %). So, companies should focus on diversifying the millet flour category to attract consumers easily. Garrett's ranking positioned finger millet as the most favoured millet (score 69.5), followed by proso millet (66.0) and little millet (63.0). These findings provide valuable insights for agricultural researchers, plant breeders and food technologists to align crop improvement strategies and product development with consumer preferences. Companies should prioritize marketing to female consumers, who demonstrate higher awareness. Following this, they should focus on younger consumers (21-30 years), who also show significant interest. Marketing strategies should include creating innovative snack items designed to appeal to children, paired with vibrant and engaging marketing campaigns that capture their attention. Additionally, strategies should target health-conscious individuals and male consumers by highlighting finger millet's contribution to overall wellness and emphasizing that finger millet is a versatile food suitable for all demographics and dietary preferences.
Intersection of transverse foliations in 3-manifolds: Hausdorff leaf space implies leafwise quasigeodesic
Authors: Fenley Sergio R. , Potrie Rafael
Published: February 2025

Let

F
1

\mathcal{F}_{1}

and

F
2

\mathcal{F}_{2}

be transverse two-dimensional foliations with Gromov hyperbolic leaves in a closed 3-manifold 𝑀 whose fundamental group is not solvable, and let 𝒢 be the one-dimensional foliation obtained by intersection.
We show that 𝒢 is leafwise quasigeodesic in

F
1

\mathcal{F}_{1}

and

F
2

\mathcal{F}_{2}

if and only if the foliation

G
L

\mathcal{G}_{L}

induced by 𝒢 in the universal cover 𝐿 of any leaf of

F
1

\mathcal{F}_{1}

or

F
2

\mathcal{F}_{2}

has Hausdorff leaf space.
We end up with a discussion on the hypothesis of Gromov hyperbolicity of the leaves.
Investigating the effects of embodiment on presence and perception in remote physician video consultations: a between-participants study comparing a tablet and a telepresence robot
Authors: Schulz Dominik , Unbehaun David , Doernbach Tobias
Published: February 2025

Increasing life expectancy and low birth rates have led to a larger aging population requiring more care, especially in rural areas. Information and communications technology may enhance older adults’ quality of life and digital health services. Assistive robotic systems, especially telepresence robots, are increasingly used in healthcare. These robots represent a significantly higher embodiment level than tablets, as they can provide the remote person with an additional body. This work explores the effects of different embodiment levels in video consultation, focusing on Presence and Perception from a Human-Computer Interaction (HCI) perspective. For this purpose, between-participants experiments were conducted in which 18 participants assumed the role of the patient and engaged in a video consultation with a remote, medically experienced person acting as the physician. A shortened medical check-up simulated the real assessment. Qualitative and quantitative data were collected during and after the experiment focusing on presence and interaction. Results show no significant influence of embodiment level in a video consultation from a HCI perspective. However, a trend towards more natural communication with stronger embodiment was observed, suggesting it may positively influence interaction.
Forbidden subgraphs of TI-power graphs of finite groups
Authors: Li Huani , Chen Jin , Lin Shixun
Published: February 2025

Given a finite group

G

G

with identity

e

e

, the TI-power graph (trivial intersection power graph) defined on

G

G

, denoted by

Γ

(

G

)

\Gamma \left(G)

, is an undirected graph with vertex set

G

G

where distinct vertices

a

a

and

b

b

are adjacent if

⟨

a

⟩

∩

⟨

b

⟩

=

{

e

}

\langle a\rangle \cap \langle b\rangle =\left\{e\right\}

. We classify all finite groups whose TI-power graph is claw-free,

K

1
,
4

{K}_{1,4}

-free,

C

4

{C}_{4}

-free, and

P

4

{P}_{4}

-free. In addition, we classify the finite groups whose TI-power graph is a threshold graph, a cograph, a chordal graph, and a split graph.
A comprehensive review on hybrid plasmonic waveguides: Structures, applications, challenges, and future perspectives
Authors: Khodadadi Maryam , Nozhat Najmeh , Nasari Hadiseh
Published: February 2025

This article offers an in-depth overview of hybrid plasmonic waveguides (HPWs), a burgeoning area poised to transform optical communication, data processing, biosensing, and nanophotonics. HPWs address the inherent trade-off between propagation loss and confinement by merging dielectric and plasmonic waveguide advantages, enabling nanoscale light confinement beyond the diffraction limit. The review begins with a foundational look at plasmonics, covering the theoretical underpinnings and history of HPWs, followed by a detailed analysis of various HPW structures like dielectric-loaded, metal–dielectric–metal, and metal–insulator–metal waveguides. It examines their unique benefits, fabrication complexities, and limitations, offering a comprehensive perspective on their performance. The article also surveys the significant applications of HPWs and their impact on different fields, and discusses the fabrication, measurement challenges, and material constraints. Highlighting areas needing further exploration, the conclusion points toward future advancements aimed at expanding HPW applications. This review aims to ignite further innovation in the promising area of plasmonics.
Neuausrichtung der bürgerlich-rechtlichen Prospekthaftung im weiteren Sinne
Authors: Holle Philipp Maximilian
Published: February 2025

1
Die deutsche Prospekthaftung ruhte lange Zeit stabil auf einer allgemeinen, von der Rechtsprechung entwickelten bürgerlich-rechtlichen und einer spezialgesetzlichen Grundlage. Allerdings baute der Gesetzgeber die spezialgesetzliche Grundlage in der Vergangenheit immer weiter aus. Diese Verschiebung in der Tektonik wurde nun jüngst zum Ausgangspukt eines offen ausgetragenen höchstrichterlichen Kräftemessens, das die gesamte Architektur der Prospekthaftung ins Wanken gebracht hat. Konkret geht es um die Frage, ob neben den ausgebauten Spezialgesetzen noch Platz für eine allgemeine bürgerlich-rechtliche Haftung bleibt. Nunmehr versuchen sich die streitenden Senate daran, die Architektur gemeinsam und ohne Einschaltung des Großen Senats wieder zu stabilisieren. Der nachfolgende Beitrag unterzieht dieses Unterfangen einer kritischen Würdigung und zeigt auf, dass es die gewachsenen Spannungen nicht umfänglich beseitigt.
Facial Paralysis Algorithm: a tool to infer facial paralysis in awake mice
Authors: Perrusquia Hernández Elías , Villeda Arias Diego Israel , Montes Ángeles Claudia Daniela , Andrade González Rey David , Lomelí González Joel , Pérez-Martínez Isaac Obed
Published: February 2025

Facial paralysis is characterized by an injury to the facial nerve, causing the loss of the functions of the structures that it innervates, as well as changes in the motor cortex. Current models have some limitations for the study of facial paralysis, such as movement restriction, the absence of studying awake animals in behavioral contexts, and the lack of a model that fully evaluates facial movements. The development of an algorithm capable of automatically inferring facial paralysis and overcoming the existing limitations is proposed in this work. In C57/BL6J mice, we produced both irreversible and reversible facial paralysis. Video recordings were made of the faces of paralyzed mice to develop the algorithm for detecting facial paralysis applied to mice, which allows us to predict the presence of reversible and irreversible facial paralysis automatically. At the same time, the algorithm was used to track facial movement during gustatory stimulation, and extracellular electrophysiological recordings in the anterolateral motor cortex. In the basal state, mice can make facial expressions, whereas the algorithm can detect this movement. Simultaneously, such movement is correlated with the activation in the anterolateral motor cortex. In the presence of facial paralysis, the algorithm cannot detect movement. Furthermore, it predicts that the condition exists, and the neuronal activity in the cortex is affected with respect to the evolution of facial paralysis. This way, we conclude that the facial paralysis algorithm applied to mice allows for inferring the presence of experimental facial paralysis and its neuronal correlates for further studies.

Significance StatementRecording the faces of mice can help predict facial paralysis unbiasedly and identify the presence of a reduction in facial movement associated with injury to the facial nerve. It can also be used to study facial movements, like facial expressions, and their neural correlates in cortical and subcortical strata. This will not only allow a deep understanding of the magnitude of the effects that facial paralysis can produce at the peripheral and central nervous system levels but also inspire further research and the search for potential treatments.
THE 'REBORN' PHENOMENON OF A FORMER PRESIDENT: NAVIGATING LEADERSHIP LEGACY AND POLITICAL SHADOWS IN A NEW ERA
Authors: Leonanda Benny Dwika
Published: February 2025

The "reborn" phenomenon of former President Joko Widodo (Jokowi) following the conclusion of his term has introduced a new dynamic into Indonesian politics. Unlike most former leaders who opt to retreat from the public eye to focus on personal or spiritual pursuits, Jokowi remains actively engaged in various public activities. His consistent presence, warmly received by the public, has sparked speculation about the motivations behind his involvement and its implications for the new administration under President Prabowo Subianto. Jokowi’s continued visibility in the public sphere raises concerns about the potential blurring of authority between the new leadership and the perception that his political influence remains significant even after stepping down.
This article seeks to analyse the motivations and impacts of Jokowi’s post-presidency engagement from social, political, and psychological perspectives. Additionally, it explores Javanese cultural traditions, such as the concept of “lengser keprabon madeg pandito ratu,” which underscores the importance of spiritual reflection for former leaders. By understanding this historical and cultural context, this study aims to provide insights into how a former leader can maintain relevance in modern Indonesian politics and the implications for political stability and power consolidation during the transition to a new administration.
Optimizing Fall Detection System as an Early Warning System for the Elderly to Enhance Quality of Life
Authors: Syamsul Hidayat Sidiq , Fadhil  , Mujahidin Irfan , Mohammad Faizin Zaini  , Rahmalisa Suhartina
Published: February 2025

Purpose: The main objective of this research is to develop a fall detection system and improve rapid emergency response or early warning systems for falls in the elderly.
Methods: In this research, the waterfall method was used for image analysis to detect falls with high accuracy. We also used Raspberry Pi 3, and OpenCV3 to set up a server to receive fall detection alerts and forward them to email.
Results: This system integrated a camera mounted on a Raspberry Pi 3 to continuously monitor the area captured by the camera. In the fall detection system, the results of testing with data showed that the system accuracy was 72.22%, sensitivity 72.72%, and error 27.77%.
Novelty: The approach this research adopted can be used in a variety of settings, including home healthcare, elderly care facilities, or places that require safety monitoring. With this system, we hope to improve rapid response in emergency situations, thereby protecting and improving the quality of life for people in need.
Comparison of Digital Forensic Tools for Drug Trafficking Cases on Instagram Messenger using NIST Method
Authors: Nahdli Muhammad Fahmi Mubarok , Riadi Imam , Biddinika Muhammad Kunta
Published: February 2025

Purpose: Cybercrime is an unlawful act that utilizes computer technology and the development of the internet. Cybercrime can occur on all electronic devices, including Android smartphones. Forensic handling, particularly mobile forensics, has become crucial in addressing drug trafficking cases conducted through Instagram. As the primary device for accessing Instagram, smartphones store digital data that can serve as evidence in investigations. This research aims to produce a more accurate comparison of results in analyzing Instagram Messenger data containing content related to drug trafficking.
Methods: The digital evidence data used in this research included five types of data: text chat, account, image, audio, and image view once. The forensic tools for obtaining digital evidence were MOBILedit, Belkasoft, Mobile Forensic SPF, and Magnet Axiom. The method proposed in this research followed the NIST framework, which consists of four stages: collection, examination, analysis, and reporting. This research followed the NIST framework because it is widely recognized in the field of digital forensics and provides a comprehensive guideline for handling digital evidence.
Result: Research results showed that Magnet Axiom had the best performance in digital forensic analysis, with a success rate of 74.1%. MOBILedit Forensic had a success rate of 62.5%, indicating lower performance. Mobile Forensic SPF had a success rate of 44.6%. In comparison, Belkasoft had the lowest success rate of 23.2%, showing that this software could be more effective in detecting and analyzing digital data than the others.
Novelty: In this study, the analysis process was conducted using four digital forensic tools, each showing variations in terms of efficiency and effectiveness. Each tool has advantages and disadvantages regarding speed, accuracy, and ability to extract and manage data.
Brain Tumor Detection Using Improved Fuzzy Logic Classifier Model Based on K-folds Validation
Authors: Tresnawati Shandy , Alfianti Henny
Published: February 2025

Purpose: This study aims to improve brain tumor detection by integrating Fuzzy Logic with K-folds validation to enhance classification accuracy and robustness. The research addresses the challenge of distinguishing between normal and abnormal brain MRI images.
Methods: This study utilized a public dataset from Kaggle comprising 2,660 MRI images, initially categorized into four classes: Glioma, Meningioma, Pituitary, and No Tumor. For the study, Glioma, Meningioma, and Pituitary were combined into one abnormal label, resulting in two classes: Normal and Abnormal. The methodology involved pre-processing the images, applying Fuzzy Logic with K-folds validation (K=3), and evaluating the model’s performance using single prediction tests.
Result: The proposed approach achieved an exceptional accuracy of 99.88% during the K-folds validation process. The model demonstrated strong performance across all test samples, accurately classifying both normal and abnormal cases, with true positive results in single prediction tests.
Novelty: This study introduces a novel combination of Fuzzy Logic with K-folds validation, demonstrating a significant improvement in classification accuracy compared to existing methods. The integration of these techniques offers a robust framework for brain tumor detection, enhancing diagnostic precision and addressing the challenge of distinguishing between various tumor types in MRI images.
РЕАЛИЗМ И ХОЛИЗМ НАУЧНОЙ ТЕОРИИ ВОЛНЫ-ПИЛОТА И ФИЛОСОФИИ ДЭВИДА БОМА
Authors: АБРАМОВ П.Д. , НЕКРАСОВА В.М.
Published: February 2025

Цель работы состоит в том, чтобы раскрыть идеи Бома, прежде всего его представления о холизме и имплицитном порядке, и связать эти философские воззрения с причинной интерпретацией квантовой механики, или теорией де Бройля - Бома. Ключевые принципы причинной интерпретации, или теории скрытых параметров, или волны-пилота, рассматриваются в сопоставлении с принципами копенгагенской интерпретации, исторически первой и одной из наиболее распространенных интерпретаций квантовой механики. Копенгагенская интерпретация и теория де Бройл - Бома содержат разные методологические установки, дающие разные трактовки одних и тех же физических явлений. От феноменологических, не отделяющих «событие» от наблюдения принципов копенгагенской интерпретации отличен реалистический и в онтологическом, и в эпистемологическом плане подход Д. Бома. Представление о нелокальности служит научной основой холистической метафизики Д. Бома. Реальность - это целостность, но целостность, постоянно меняющаяся, в которой имплицитные процессы переходят в эксплицитные, от целостности отделяются относительно автономные и самодостаточные аспекты, составляющие частицы и поля.

The purpose of the paper is to reveal Bohm’s ideas, primarily his notions of holism and implicit order, and to relate these philosophical views to the causal interpretation of quantum mechanics, or the de Broglie-Bohm theory. The key principles of the causal interpretation, or the theory of hidden variables, or the pilot wave theory, are compared with the principles of the Copenhagen interpretation which is historically the first and one of the most widespread interpretations of quantum mechanics. The Copenhagen interpretation and the de Broglie-Bohm theory are based on different methodological approaches, which provide different interpretations of the same physical phenomena. The phenomenological principles of the Copenhagen interpretation, which do not separate the “event” from the observation, differ from Bohm’s approach, realistic in both ontological and epistemological terms. The concept of non-locality serves as the scientific basis for Bohm’s holistic metaphysics. Reality is a whole, but a constantly changing whole, in which implicit processes become explicit, and relatively autonomous and self-sufficient aspects that make up particles and fields separate from the whole.
Tuple calculus for multiset table algebra
Authors:   Mykola Gogol Nizhyn State University, Lysenko І.M.
Published: February 2025

This paper is a logical continuation of research devoted to the actual problem of developing the theoretical foundations of table (relational) databases. The issue of using multisets in table databases is important and relevant. Many database-oriented languages require a relational model with multiset semantics. There are many applied problems, the feature of which is multiplicity and repeatability of data. For example, these are sociological polls of different population groups, calculations on DNA, and others. In this context, the question of constructing a tuple calculus for a multiset table algebra is considered, in which the concept of a table is refined using the concept of a multiset. In the article, the formalization of tuple calculus for multiset table algebra is carried out. The alphabet, and the syntax of terms, atoms, and formulas are defined. A set of legal formulas is introduced through the concept of the free and bound variable. The concept of a scheme and set of attributes with which a tuple variable occurs in a formula are also introduced. The definition of tuple calculus expression for multiset table algebra is given, according to which it is a multiset of tuples that satisfy the condition defined by the legal formula. The article provides rules for determining the number of tuple duplicates in the resulting multiset. Another important result consists in proving that constructed tuple calculus is as expressive as multiset table algebra. This research opens up new possibilities for database theory development and may be useful for information technology and database professionals. It contributes to a deeper understanding of construction query principles, an important aspect of modern computer science and industry.
Modelling videocard memory performance for LLM neural networks
Authors:   Institute of Software Systems NAS of Ukraine, Rahozin D.V. , Doroshenko A.Yu. ,   Institute of Software Systems NAS of Ukraine
Published: February 2025

The paper covers the analysis of performance characteristics of neural network-based algorithms class Generative pre-trained transformer, also known as Large Language Model, for contemporary videocards. The goal is to check the application limitations for this class of neural networks for mobile computing platforms. This network class is interesting for use as control system tool, but for the bigger text corpuses the network performance degrades and the number of used computer resources grows quickly, so we need to explore if this type of network, but based on a smaller text corpus, is a feasible tool for devices with comparatively low computing capability. The performance investigation was performed with the help of GPGPUSim simulator, which can be freely configured as a virtual videocard of any computing capability. As this neural network computations are based on the calculation of a sequence of matrix multiplications, and its performance is limited by the memory bandwidth, we analyze the behavior statistics of the different cache memory levels of the videocard processor and the cache interaction with the main memory. With the help of GPGPUSim we have gathered statistics for different Generative pre-trained transformer version 2 configurations, from small to xl configurations. The level 2 cache memory access statistics, level 2 cache memory access misses, number of accesses to main memory show that even for the middle-level network configurations the number of level 2 cache memory misses exceeds the 7-8% level. This number looks high and this evidence shows that the size of the cache memory is quite small for executing this neural network configuration, also there is the substantial traffic from cache memory to main memory. Although, the minimal so-called small configuration can be computed faster and with moderated resources, and so can be used further as a part of decision-making system for computing platforms with moderate performance and resources for the case of limited text corpuses. This opens good enough perspectives for using this type of neural networks for autonomous decision making.
Developing algorithms for automatic hypoxing test chasing from the single-channel electrocardiograms: a model experiment
Authors:   Institute of Problems of Mathematical Machines and Systems NAS of Ukraine, Romanenko T.M.
Published: February 2025

As an outcome of the COVID-19 pandemic, there is a need to seek new approaches to patients’ rehabilitation, in particular, the novel monitoring technologies enabling the assessment of the functionality and fitness of the cardiovascular and respiratory systems. Hypoxic tests allow for estimating a person’s tolerability to hypoxic conditions and, eventually, for making conclusions about their fitness. Among these tests are the Stange test for which the breath is held after inhaling, and the Genchi test involving holding the breath after exhaling. The important information is the duration of the breath hold. There are methods of direct respiratory signal measurement and indirect ones to control it. They require the use of specialized equipment and specific conditions, often including the need for patient immobilization, therefore, are usually performed in hospitals. Breathing affects the electrocardiogram, which can be used to reconstruct the respiratory signal. Electrocardiogram registration is now a routine procedure performed in hospitals, outpatient clinics, and, due to various options for modern portable single- and multichannel electrocardiographs, even at home by the patients themselves. There are several types of algorithms for obtaining the cardiorespiratory information that rely on different elements of the electrocardiogram signal but they are not suitable for real-time application. This report describes the model experiment developing the optimal algorithm of hypoxic test automatization with the electrocardiogram processing in real-time conditions. We have developed the software called "Harmony" for breathing control during hypoxic test which suggests the starting moment for breath hold. Since the period of breath hold during hypoxic test has specific characteristics on the electrocardiogram that are substantially different from other breathing phases, such as inhaling, exhaling, and calm breathing, the moment of finishing the breath hold can be determined automatically. This allows us to automate hypoxic tests.
Exploring the Role of Inflammation and Fibrosis-Associated Gene Expression in Drug-Induced Gingival Enlargement and Periodontitis
Authors: JH Kuo , LW Lin
Published: February 2025

Aim: This study aimed to analyse the gene expression profile of inflammation- and fibrosis-related targets in drug-induced gingival enlargement
(DIGE) in subjects with periodontitis.
Materials and Methods: Forty-four patients were divided into four groups: N (control), P (periodontitis), A (periodontitis undertaken amlodipine),
and G (DIGE with periodontitis). Periodontal flap surgery was performed at least 6 months after therapeutic intervention and gingival tissue samples
were subjected to histomorphometric analysis.
Results: None had DIGE grades 2-3 after initial therapy. Compared to controls, inflammatory and fibrosis markers cluster of differentiation 68, matrix
metalloproteinase (MMP) 12, A disintegrin and metalloprotease (ADAM) 17, connective tissue growth factor, and cathepsin L were pronounced in
DIGE patients; SIRT1 was higher in non-responders.
Conclusion: The importance of proper dental plaque management for the treatment of DIGE with periodontitis Elevated SIRT1 may indicate
antifibrotic properties.
Results of the All-Russian consensus conference on complications in bariatric surgery
Authors: Neimark A.E. , Yashkov Yu.I. , Khatsiev B.B. , Anishchenko V.V. , Samoylov V.S. , Bordan N.S. , Fedenko V.V. , Vasilevskiy D.I. , Burikov M.A. , Askerkhanov R.G. , Krekoten A.A. , Stankevich V.R. , Zorin E.A. , Khitaryan A.G. , Elagin I.B. , Kalinichenko A.A. , Lapshina S.E. , Shulyakovskaya A.S.
Published: February 2025

Obesity remains one of the global problems of modern healthcare. Complications after bariatric surgery are a serious problem for this group of patients. This article reflects the results of the Second Consensus Conference, held on May 25, 2024 in St. Petersburg and fully devoted to the treatment of complications in bariatric patients. 99 bariatric surgeons participated in the consensus. Consensus was considered achieved when 70% of respondents agreed. The consensus determines the algorithm of actions in the development of complications in a bariatric patient and will allow surgeons who do not have specialized training and experience in the management of bariatric patients to provide effective and timely treatment.
Safety assessment of bariatric surgery in the Russian Federation according to the Russian National Bariatric Registry
Authors: Khatsiev B.B. , Gomon Yu.M. , Spichakova E.A. , Kolbin A.S. , Balykina Yu.E. , Rudin A.V. , Kvasha T.A. , Ermolyev M.V. , Yashkov Yu.I. , Neimark A.E. , Lapshina S.E. , Samoilov V.S. , Kalinichenko A.A. , Fedenko V.V. , Evdoshenko V.V. , Bordan N.S.
Published: February 2025

Background. Bariatric surgery is an effective long-term treatment for obesity and associated metabolic disorders such as type 2 diabetes mellitus (DM), hypertension, dyslipidemia, and sleep apnea. Despite the fact that the safety and effectiveness of bariatric interventions has now been proven, like any other surgical intervention, it’s associated with complications. Objective. To assess the incidence of early complications and 10-day mortality in patients undergoing bariatric surgery in the Russian Federation. Material and methods. Information on the frequency of interventions performed, associated complications and mortality was obtained from the Russian National Bariatric Registry database, containing anonymized data of patients who underwent bariatric intervention in the period from 03/03/2004 to 04/12/2023. The analysis included patients aged 18—70 years who underwent primary surgery. In addition to assessing 10-day mortality rates and the frequency of early postoperative complications, a comparative analysis of the likelihood of developing complications depending on the class of obesity, the patient’s age and the presence of comorbid conditions was carried out. Results. The analysis included 33.627 patients. The 10-day postoperative mortality rate was 0.098%. The rate of early postoperative complications was 1.77% for all types of operations and groups of patients. Bleeding and leakage were the most common: up to 1.2% and 1.5%, respectively, depending on the type of operation. The frequency of their development was statistically significantly influenced by the patient’s age, gender, BMI and the presence of concomitant pathology. Conclusion. Minimal postoperative risks of complications were observed in patients after sleeve gastrectomy. The proportion of bleeding cases in this group did not exceed 0.8%, and the failure of the stapler line did not exceed 0.5%. The 10-day postoperative mortality rate after sleeve gastrectomy was 0.05%.
Implementation of a User Anonymity Application Using a Privacy-Preserving Entropy-as-a-Service with Quantum Security
Authors: Cillero Iván , Soler David , Nóvoa Francisco J. , Dafonte Carlos , Fernández Ana , Fernández-Veiga Manuel
Published: February 2025

Key material plays a critical role in cryptography. Devices that are unable to generate high-quality keys are exposed to multiple vulnerabilities. In this work, we present an Entropy-as-a-Service (EaaS) architecture to address this problem. The proposed solution creates secure keys and sends them to a mobile application using a Quantum Random Number Generator (QRNG). Futhermore, our solution provides anonymity to the users who request a key while ensuring that the EaaS provider can still apply access control policies. Keys are sent via a quantum channel and received by the mobile application via NFC to ensure security. A certificate is generated with the key to authenticate the user in the application services. This certificate creates an identity separate from his real identity.
Web application for Generating Entity-Relationship Diagrams with Natural Language Processing
Authors: Sineiro Barreiro David , Vilares David
Published: February 2025

Entity-Relationship (ER) diagrams are widely used in software engineering to model relational databases and serve as semantic representations easily understood by humans. They convey the meaning of data, their relationships, and key modeling concepts. Despite their usefulness, designing ER diagrams requires technical expertise. This work proposes a prototype leveraging natural language processing tools, particularly large language models (LLMs), to simplify and democratize their creation. Using simple prompts, the system generates structured outputs in standard formats that can later be used for ER diagram construction. As a result, a web application was developed, offering a user-friendly interface that reduces time and effort, aiming to make diagram creation more accessible.
Autonomous Perceptual Categorization for Robotic Lifelong Learning in Dynamic Domains
Authors: Martínez Alonso Sergio , Romero Alejandro , Becerra Permuy Jose A. , Duro Richard J.
Published: February 2025

Autonomously acquiring grounded information from on-line interaction in continuous and dynamic domains unknown at design time, to allow for abstraction and high-level reasoning, is still a challenging problem in robotics. In this work we propose an approach based on the generation of task-based dynamic perceptual equivalence classes that are constantly updated and adapted during the life of the robot, using three types of algorithms within the e-MDB cognitive architecture. Results are presented for a robot interacting with different domains, demonstrating the adaptability of the approach through experiments with arbitrary domain changes. The performance of the three implemented algorithms is compared, and the possible uses of this approach within cognitive architectures are discussed.
Dimensional Control in a Shipbuilding Workshop Based on High-Density Point Clouds Using High Performance Computing
Authors: García Veiga Xián , Vidal Miramontes Constantino Sergio , Brage Leira Álvaro , Díaz Gómez David , Estévez Alonso Alfredo , Vázquez Regueiro Carlos , Amor López Margarita
Published: February 2025

In many industries, the quality control process of manufactured products has become one of the most fundamental tasks to minimize manufacturing problems and production costs. High density point clouds are often mandatory to obtain a reliable representation of the products inspected. In this work, we present a parallelization on the Key Point Characteristic extraction of a ship panel, used for the quality control process, on a shared memory system using OpenMP. Experimental results show accelerations of up to 4,1x.
Designing Scalable Software Automation Frameworks for Cybersecurity Threat Detection and Response
Authors: Jaiswal Bhargav Dilipkumar
Published: February 2025

Cybersecurity threats are rapidly evolving, posing significant challenges to organizations seeking to protect critical digital assets. Traditional security approaches, such as rule-based detection and manual incident response, have proven inadequate in addressing the complexity and scale of modern cyber threats, particularly those involving zero-day vulnerabilities, ransomware, and advanced persistent threats (APTs). In response, scalable software automation frameworks have emerged as a critical solution for real-time threat detection and response.
This paper presents a comprehensive study on designing scalable cybersecurity automation frameworks, integrating artificial intelligence (AI), machine learning (ML), cloud computing, and Security Orchestration, Automation, and Response (SOAR) systems to enhance security resilience. The study examines key architectural principles, including microservices-based security structures, cloud-native deployment models, AI-driven anomaly detection, and automated incident response mechanisms. Furthermore, the paper explores how real-time security monitoring, predictive analytics, and Zero Trust security models contribute to an adaptive cybersecurity defense strategy.
To validate the effectiveness of scalable automation frameworks, the paper presents case studies of Google Chronicle, IBM Security QRadar, and Microsoft Azure Sentinel, analyzing their efficiency in automated threat intelligence, behavioral analytics, and cloud-based security operations. Additionally, we discuss major challenges associated with scalability, performance, AI explainability, and interoperability with legacy security infrastructures.
The proposed framework offers an optimized cybersecurity automation model that enhances detection speed, minimizes false positives, and ensures seamless threat response automation. The findings indicate that integrating AI-enhanced SIEM and SOAR solutions into a cloud-native cybersecurity ecosystem significantly improves cyber threat mitigation, response times, and overall security posture. Future research should focus on advancing federated learning for distributed security intelligence, blockchain for decentralized security enforcement, and explainable AI (XAI) for more transparent cybersecurity decision-making.
This study contributes to the growing body of cybersecurity research by providing a scalable, AI-driven, and cloud-integrated framework for organizations to enhance their security resilience in an increasingly complex threat landscape.
Gender Inequality: Male Victims’ Responses to Social Media Framing of Domestic Violence Against Men in Nigeria
Authors: Olorunpomi Rebecca , Ajaegbu Oguchi , Ikpegbu Emmanuel
Published: February 2025

Domestic violence affects both men and women, crossing boundaries of race, education and ethnicity. It has evolved from a social issue into a public health concern. While much attention has been paid on domestic violence against women, less attention has been placed on women as perpetrators. This study examines how new media, particularly social media, frames domestic violence against men in Nigeria, addressing the limited research on this topic. Anchored on the media framing, agenda setting, and muted group theories, this paper adopts a qualitative research design, using a phenomenological approach and homogeneous purposive sampling technique to gather empirical data. Data was obtained from an in-depth interview with six male victims of domestic violence in Nigeria using Braun and Clarke's (2006) multistage thematic analysis. This analysis incorporates data from interview transcripts based on the research objectives. Findings reveals that social media framing of domestic violence against men in Nigeria perpetuates gender inequalities, marginalizes male victims, and reinforces harmful stereotypes as well as lack of support which discourages them from seeking help or engaging in social media discussion. The paper then recommends the promotion of inclusive narratives that validates male victimhood alongside female victimhood, thereby balancing narratives of domestic violence, as well as increase in awareness through advocacy campaigns which should be aimed at educating the public on the realities of domestic violence against men.
Impact of colchicine on inflammatory markers and pregnancy outcomes in familial Mediterranean fever patients
Authors: Tokgöz Çakır Betül , Aktemur Gizem , Karabay Gülşan , Şeyhanlı Zeynep , Vanlı Tonyalı Nazan , Akın Furkan , Afsar Salime Nur , Çelen Şevki
Published: February 2025

Objectives: The aim of this study is to evaluate the effect of colchicine use on maternal inflammatory markers and pregnancy outcomes in pregnant women diagnosed with Familial Mediterranean Fever (FMF) and receiving colchicine therapy.
Methods: This retrospective analysis included 42 pregnant women diagnosed with FMF who underwent colchicine treatment and 126 healthy pregnant controls. Neutrophil/Lymphocyte Ratio (NLR), Platelet/Lymphocyte Ratio (PLR), and Monocyte/Lymphocyte Ratio (MLR) rates in the blood of the groups in the first trimester, obstetric morbidities and pregnancy outcomes were compared.
Results: The patient cohort had markedly reduced hemoglobin levels (12.15±1.36 vs. 12.80±1.02 g/dL, P=0.001), an elevated prevalence of anemia (19% vs. 3%, P=0.002), and diminished monocyte counts (0.55 vs. 0.61 ×10⁹/L, P=0.022) as well as decreased MLR values (0.27 vs. 0.29, P=0.020) in comparison to the control group. Other inflammatory markers, pregnancy complications, and neonatal outcomes were similar between the groups (p>0.05).
Conclusions: Colchicine seems to be useful in managing inflammation during FMF pregnancies without negatively affecting pregnancy or neonatal outcomes. Thorough prenatal care, encompassing anemia monitoring, is crucial for enhancing mother and fetal health.
Aleksander Wat – (re)lektury
Authors: Pietrych Krystyna
Published: February 2025

Na książkę składa się z osiem części. Trzy pierwsze ukazują w innym świetle początki twórczej drogi Wata, poczynając poematu Ja z jednej i Ja z drugiej strony mego mopsożelaznego piecyka, poprzez nowe odczytania manifestów w perspektywie intermedialnej, po rozdział określający Wata jako twórcę nie futurystycznego, lecz dadaistycznego. Kolejne trzy teksty przynoszą rewizjonistyczne sposoby odczytania związków z tradycją. Po pierwsze, śródziemnomorską, interesuje mnie nie tyle podejmowanie przez Wata zdeponowanych w kulturze kodów, lecz, jak można by powiedzieć, Śródziemnomorze „ucieleśnione” w osobistym doświadczeniu. Drugi niezwykle ważny obszar tradycji stanowi dla mnie romantyzm. Najpierw rozpoznaję Watowską podmiotowość jako (po)romantyczną. Wyszedłszy od kwestii dotyczących ukształtowania „ja”, przechodzę do najważniejszej dykcji tak modelowanego podmiotu – do elegijności i rozpatruję ją jako specyficzną jakość Watowskiej wrażliwości i sposobu odczuwania świata. Oba „romantyczne” rozdziały prowadzą w efekcie do propozycji przesunięcia granic literatury modernistycznej. Zgodnie z moimi rozpoznaniami należałoby bowiem postrzegać formację romantyczno-modernistyczną jako nieprzerwane continuum, jako jeden obszar nowoczesności. W części ostatniej zajmuję się Notatnikami Wata. Czytam je zgodnie z postulatami krytyki genetycznej, która nie tyle zwraca uwagę na rezultat końcowy pisania, co na sam proces. Wydobyte z archiwum rękopisy Wata są czystym procesem nieustannego pisania, cechującym się nieukierunkowaną potencjalnością i ciągle odraczaną finalnością. Usytuowanie twórczości Wata w nowych kontekstach pozwala w efekcie odkryć ukryte dotąd aspekty i znaczenia jego twórczości.
THE RELATIONSHIP BETWEEN SANITATION PERCEPTION AND THE INCIDENCE OF RESPIRATORY TRACT INFECTION (RTI) IN CORRECTIONAL INSTITUTION
Authors: Satria Hardiat Dani , Budi Musthofa Syamsulhuda , Sakundoro Adi Mateus
Published: February 2025

Background: The incidence of respiratory tract infection (RTI) in Class IIA Correctional Institution (Lapas) Kendal is notably high. RTI consistently ranks as the most common illness occurring each month, accounting for over 50% of all diseases within the facility. Previous research has indicated that one of the contributing factors to RTI is poor sanitation conditions within the correctional institution. Purpose: This study aims to analyze the relationship between sanitation perceptions and the incidence of RTI in Class IIA Correctional Institution Kendal. Methods: This quantitative study uses a cross-sectional research design with a sample of 294 inmates from the Class IIA Correctional Institution Kendal. The sample was selected using total sampling, involving all inmates in the facility. A Chi-Square test was applied for bivariate analysis. Results: The variable of sanitation perception showed a significant relationship with the incidence of RTI in Class IIA Correctional Institution Kendal. The p-value for the Pearson Chi-Square test was 0.00. Sanitation perception factors included building indicators (p=0.02), room indicators (p=0.54), drinking water indicators (p=0.06), and waste indicators (p=0.00). Conclusion: Sanitation perception factors, such as building indicators and waste indicators, are associated with the incidence of RTI in Class IIA Correctional Institution Kendal. Meanwhile, room indicators and drinking water indicators were not related to the incidence of RTI. To achieve the Sustainable Development Goals (SDGs, it is necessary to implement the Water, Sanitation, and Hygiene (WASH) concept within the correctional institution to minimize the transmission of RTI.
Immigration and Ethno-Confessional Heterogeneity in Modern France: the Confrontation is Aggraving
Authors: Lapina N.
Published: February 2025

Over the past four decades, French society has changed beyond recognition. The large-scale socio-economic changes that resulted from France’s entry into the global economy were accompanied by the closure of entire industries, the growth of mass unemployment, and shifts in the social structure of society. Another consequence of joining the global economy was a massive increase in immigration. By the time it entered the global world, French society was not monoethnic. However, the policy of assimilation of foreigners pursued by the authorities was focused on the forced cultural rapprochement of new arrivals with the indigenous population, and aimed at turning foreigners into “goodу Frenchmen”. Since the mid‑1980s, the political vector has changed: the policy of assimilation has been replaced by multiculturalism and integration. In 2022, there were 7 million immigrants and 6 million Muslims living in the country. For a long time, issues of ethnocultural and religious diversity in France were kept silent. The principle of a civic nation assumes that the citizens of a country share republican values and are subject to the laws of the Republic. Life has forced us to take a fresh look at the correspondence of normative guidelines to social realities. Over the past decades, France has become a country of ethnic and religious diversity. The ethno-confessional split is increasingly acquiring a political dimension. Is it necessary to accept new immigrants? Is there a chance to integrate French-born children of immigrants and newly arrived foreigners into the host society? These issues are the focus of political debate.