bluuebunny/crossref_metadata_2025 huggingface dataset:
Design Innovation and User Experience of Sensory Interactive Experience in Museum Exhibition Space
Authors: Ji Yijing , Lin Qianqian , Yin Wenjuan , Han Bing , Jiang Yirui
Published: November 2024

This research examines the influence of multi-sensory experiences on visitor engagement within museums in the United Kingdom, with particular emphasis on the roles of physical design elements, technological integration, and sensory stimuli. Utilizing a comprehensive literature review, along with observational studies and surveys across 12 specialized museums, this study identifies critical factors that enhance visitor interaction and satisfaction. The findings reveal that the incorporation of interactive and multi-sensory elements, such as augmented reality and tactile exhibits, significantly augments visitor engagement. This study highlights the evolving function of museums as dynamic educational platforms that amalgamate entertainment and learning. It underscores the imperative for future museum designs to adapt to the digital era and cater to the diverse expectations of visitors. The results suggest that a strategic integration of sensory experiences can transform museums into more inclusive and immersive environments, thereby enriching the educational and cultural experiences of their audiences.
Research on Green Design in the Internet Ecosystem
Authors: Ma Yanyang , Su Xiaohan
Published: November 2024

With the rapid development of the Internet, network information, as a core element of the information society, has seen the widespread adoption and acceleration of green principles. This paper, based on the analysis of the concept of the information ecosystem, summarizes its theoretical development status. On this basis, it proposes three elements of green design in the Internet information society: comprehensive information ecological position, a user-centric information service mindset, and the construction of a secure network environment. The goal is to analyze green design in the context of the information society, present specific green design elements and implementation approaches, and construct a harmonious online information ecosystem.
The Application of Digital Technology in Modern Smart Distribution Network Management Model
Authors: Chen Diyu , Wang Linmei , Liang Qiu , Zang Yuqing
Published: November 2024

In order to solve the problems of inaccurate investment management and extensive process control of distribution network projects, the application of digital technology in modern intelligent distribution network management mode was proposed. Based on the SG-UAP platform, the basic data and safety management and control content in the construction process of distribution network engineering are integrated, and the design idea of lean management and control system for distribution network engineering is proposed. The test results show that only one of the concurrent transactions operated by 50 users failed to be simulated; The longest and average response times reached 9s and 3s respectively, and the CPU utilization reached 60%. When simulating the concurrent transaction operations of 100 users, only 4 failed. The maximum and average response times were 14 seconds and 7 seconds, respectively. The CPU utilization reached 68%.
An Analysis of Labor Education Factors Based on the Smith Model of Policy Implementation
Authors: Zhang Wei
Published: November 2024

Based on Smith’s policy implementation model, this paper analyzes the difficult problems in policy implementation in the reform and development of labor education in colleges and universities. The experimental results show that the correlation coefficient between the development of labor education in colleges and the labor education of students is 0.584, and the significance test result is 0.000, indicating the two are moderately positive.
Deep Learning-Based Performance Optimization of English Machine Translation
Authors: Song Yuping
Published: November 2024

This article proposes a performance optimization method for English machine translation based on deep learning and introduces the Bahdanau attention mechanism. Using a parallel corpus of approximately 30,923 sentences for training and testing, the model achieved an average BLEU score of 45.83, showing excellent English translation results. Research results show that this method effectively improves translation accuracy, helps enhance global communication efficiency, and brings new development ideas to the field of language translation.
The Construction of Problem Discovery of Students’ Ideological Education and Its Management Platform in Universities Based on Data Mining
Authors: Li Xi
Published: November 2024

In order to cultivate the sound personality of college students, the problem discovery and management platform of ideological and political education for college students based on data mining was proposed. Rely on the relevant technologies of data mining and database, establish a prevention platform for ideological and political education problems of college students. It aims to overcome the limitations of time and space, analyze the ideological and political education problems of all college students with accurate data, and find and solve problems in time. The system test results show that the average score index standard, based on a score greater than 1.5, calculates the number of students with abnormal symptoms. The Apriori algorithm of association rules is used to mine the relationship between 10 ideological and political factors in the selected dataset. Conclusion: To better help higher colleges carry out prevention and treatment of ideological and political education problems.
Research on the Governance Mechanism of Urban Functional Areas Under the Perspective of Corporatism
Authors: Peng Xiongliang , Lai Zhe
Published: November 2024

Urban functional zones are integral components of national spatial governance systems. Unlike rigid administrative district governance, functional zones allow local governments to flexibly transcend administrative spatial constraints. This approach enhances the government’s ability to coordinate spatial resource governance while addressing national regional development strategies. This paper examines the construction of a “government-market-society” governance framework, asserting that balancing construction and ecological spaces is prerequisite to establishing an effective spatial governance system. We propose that local governments should strengthen institutional foundations and coordinate the development of various urban functional areas. This coordination should result in a functional zone system comprising “new urban districts,” “characteristic towns,” and “rural garden complexes.” This system, embedded across different administrative levels, integrates market and social forces to refine governance structures. Ultimately, this approach promotes the development of a systematic and standardized spatial governance pattern for functional zones.
Problems and Countermeasures in Computer-Assisted Nursing Teaching and Learning
Authors: Li Yanyan , Wang Tongtong , Zheng Xiuyun , Wang Yinping
Published: November 2024

In order to explore the application effect of scenario simulation combined with computer-assisted instruction (CAI) in orthopedic nursing practice and provide a basis for further teaching promotion, problems and countermeasures in computer-assisted nursing teaching were put forward. 120 undergraduate intern nursing students from a medical university were randomly selected and divided into an experimental group and a control group of 60 students each; the experimental group used scenario simulation combined with CAI teaching, and the control group used traditional teaching. After the internship, the internship theory test with unified propositions, the Chinese version of the Exploratory Factors of Nursing Student Core Competency Scale (CINS), and the Nursing Practice Teaching Satisfaction Questionnaire were conducted to evaluate the effectiveness of the internship. The experimental results show that: there is no statistically significant difference in the theoretical performance of the experimental group and the control group; the critical thinking, general clinical skills and lifelong learning scores of the core competency scale of the experimental group are higher than those of the control group; the teaching satisfaction of the experimental group is better than that of the control group (P<0.05). Conclusion: Scenario simulation combined with computer-assisted teaching can effectively solve the teaching contradiction of insufficient clinical practice opportunities, and has a good effect on improving students’ learning autonomy, comprehensive ability and teaching satisfaction.
Research on the Standard System and Key Technologies of Digital Substation Technology
Authors: Yang Weihong , Huang Zhiming , Zhang Li , Chen Qiulin , Qian Hai
Published: November 2024

This paper proposes a digital substation standard system to enhance management efficiency. It introduces a model for comprehensive digital information perception and Bayesian algorithms for monitoring. Wireless sensor identification collects subsystem data, analyzed by decision tree clustering. Key meta-data scheduling and fusion methods integrate digital information across the substation. Digital twin technology enables dynamic data fusion and sharing, optimizing substation management.
Associated risk and resilience factors of Alzheimer’s disease in women with early bilateral oophorectomy: Data from the UK Biobank
Authors: Calvo Noelia , McFall G Peggy , Ramana Shreeyaa , Galper Michelle , Fuller-Thomson Esme , Dixon Roger A , Einstein Gillian
Published: November 2024

Background:

Bilateral oophorectomy (BO) confers immediate estradiol loss. We examined prevalence and predictors of Alzheimer's disease (AD) in women with early BO comparing their odds ratios of AD to those of women with spontaneous menopause (SM).

Methods:

A cohort from UK Biobank (n = 34,603) included women aged 60 + at baseline with and without AD who had early BO or SM. AD was determined based on AD related ICD-10 or ICD-9 code. We used logistic regression to model the association of menopause type with AD. Model predictors included age, education, age at menopause, hormone therapy (HT), APOE4, body mass index (BMI), cancer history, and smoking history.

Results:

Those with early BO had four times the odds of developing AD (OR = 4.12, 95% CI [2.02, 8.44]) compared to those with SM. APOE4 (OR = 4.29, 95% CI [2.43, 7.56]), and older age (OR = 1.16, 95% CI [1.05, 1.28]) were associated with increased odds of AD in the BO group. Greater years of education were associated with reduced odds of AD for both BO (OR = 0.91, 95% CI [0.85, 0.98]), and SM (OR = 0.95, 95% CI [0.90, 0.99]), while ever use of HT was associated with decreased odds of AD only for the BO group (OR = 0.43, 95% CI [0.23, 0.82]).

Conclusions:

Women with early BO, particularly with an APOE4 allele, are at high risk of AD. Women with early BO who use HT and those with increased education have lower odds of developing AD.
Over-the-air testing of LTE-A PHY layer in reverberation chamber
Authors: Lodro Mir , Korunur Engiz Begum , Thomas David W.P.
Published: November 2024

Reliable, repeatable, and flexible testing is crucial for assessing system performance and ensuring the quality of communication. In reverberation chambers (RC), real-life propagation environments can be emulated by loading absorbers, facilitating controlled testing of the system. This work presents over-the-air (OTA) testing of the LTE-A PHY layer in the RC. We assessed the performance of the LTE-A link using key performance indicators (KPIs) such as error vector magnitude (EVM), bit error rate (BER), and signal-to-noise ratio (SNR) for varying transmitter (Tx) and receiver (Rx) gains. Additionally, we have compared the results both in an empty RC and when the RC was loaded with RF absorbers. We used software-defined radio (SDR) for OTA transmission of LTE-A frames. The measurement results indicate that loading the RC with RF absorbers improves EVM, BER, and SNR. We also quantified the performance of the LTE-A link by changing the position of RF absorbers. Results showed that loading absorbers yielded up to 72.8% improvement in EVM, and placing absorbers closer to Rx helped reduce the amount of multipath, resulting in better transmission performance.
STATECHARTS COMPOSITION TO MODEL TOPOLOGICALLY DISTRIBUTED	APPLICATIONS
Authors: Banci Michele , Fantechi Alessandro , Gnesi Stefania
Published: November 2024

Many real-world systems can be conveniently modelled by the replication and interconnection of simple components of a few types: different configurations of the same system may vary just for the number of components and for the topology of their interconnections. In industrial practice of formal modelling the tedious work of such a manual instantiation has to be automated, allowing the inexpensive production of new configurations for the same product. This paper presents a methodology to build statechart models of topologically distributed systems by instantiating generic components; the method is able to replicate as needed statechart components and to expand the terms that drive their behaviour to create complex interconnection patterns along the required topology. The methodology is illustrated on the example of a classical distributed algorithm (Byzantine Agreement) in order to show the potential of dealing with parameterized distributed structures. The proposed methodology is shown to be able to find several interesting industrial applications.
PROCESS MAINTENANCE THROUGH COMPONENT-PROCESS REPLACEMENT
Authors: Manzer Ayesha , Dogru Ali H.
Published: November 2024

An enterprise is represented by its process model that is constructed by the integration of smaller processes corresponding to value-added contributors. Replacing the sub-processes can modify the super-process. Component processes are represented in task systems in order to discover how process attributes will be preserved after integration. This approach is especially versatile if virtual enterprises are formed over the Internet through integrating the published processes of core competencies. The virtually constructed super-process can be exercised as a simulation before the real process is enacted. A final process is thus a composition of core-competency processes that is believed to yield an optimal enterprise operation. Core-competency processes from individual organizations are expected to be available to form value-added chains. Once matured, such a market of processes will offer alternatives by different organizations.
TOWARDS A DYNAMIC HEALTHCARE PROCESS: FROM REQUIREMENT CAPTURE TO	SIMULATION
Authors: Jin X. , Kagioglou M. , Aouad G.
Published: November 2024

Both process modelling and simulation play an important role in understanding healthcare processes. Since IDEF0 can effectively capture requirements and is relatively easy to communicate, combining IDEF0 with simulation provides a promising way to analyse processes dynamically and to assist in decision-making. This paper explores the feasibility of building an environment that can be used to simulate real IDEF0 models for healthcare processes. EXPRESS language is used to capture the required information that would make an IDEF0 model capable of simulation. An example IDEF0 model simulator is developed in order to explore some of the issues in simulating healthcare processes. A prototype system structure for this simulator is provided in the paper. The healthcare process is used as an example application in this paper. An example IDEF0 model for "Identify Patient Safety Hazards" process represented by XML is loaded and simulated.
A GRID-BASED APPROACH TO PARALOADING USING MIRRORED CORBA	SERVERS
Authors: Sadasivam G. Sudha
Published: November 2024

Internet and Intranet repositories are store houses for multi-gigabit movie files and large multimedia documents. It thus necessitates the development of scalable architectures to locate these resources and to distribute the downloading efficiently among them. Traditionally the documents are downloaded entirely from a single server by establishing parallel connections between the clients and servers. The proposed method of parallel access downloading, i.e. paraloading, is a process that downloads parts of a document in parallel from different mirrored Common Object Request Broker Architecture (CORBA) servers. It considers the load of the servers and their distance from the clients. It is also tolerant to server failures and hence it is highly suitable for a grid-based environment. The proposed method is implemented as a service in Zen, an open source, embedded CORBA implementation based on real time CORBA, as well as real time Java specifications. Test results show that the proposed method consistently downloads files faster then the traditional method.
TRANSDISCIPLINARITY: REACHING BEYOND DISCIPLINES TO FIND	CONNECTIONS
Authors: Madni Azad M.
Published: November 2024

We live in an era in which the world is becoming increasingly more connected or, as Tom Friedman puts it, "flat." The inevitable consequence of this interconnectedness trend is that problems are becoming much too complex to successfully solve by applying methods from within a single discipline. This recognition is most evident in the growing trend toward multidisciplinary and interdisciplinary collaboration among traditionally independent disciplines. As such collaboration intensifies, existing disciplines are being enriched and occasionally new disciplines are beginning to emerge. At the same time, the knowledge gaps among the disciplines are beginning to surface. What appears to be lacking is a new way of thinking that strives to harmonize traditional disciplines by reaching beyond their traditional boundaries to fill the knowledge gaps not addressed by them. Transdisciplinary thinking promises to reach beyond disciplinary boundaries to identify and overcome knowledge voids and incompatibilities in the quest for knowledge unification. Achieving these objectives is key to fostering new relationships among traditionally independent disciplines and, in so doing, begin to address problems of national and global significance. This paper discusses the aims of transdisciplinarity, the road to transdisciplinarity, successes resulting from transdisciplinary thinking, and recommendations for a research and education agenda embracing trandsdisciplinary thinking.
DESIGNING AGAINST HEAD INJURY WHILE CONSIDERING NECK INJURY
Authors: Hsiang Simon M. , Ekwaro-Osire Stephen , Jang Taek Hyun
Published: November 2024

Without a doubt, the major concern of vehicle design is safety ¨C increasing the survival chance of driver and passenger during a crash and decreasing the risk of injury. Safety features, such as seat belt, seat cushion with crash tubing, or frontal and side impact airbags, have been proposed to protect the occupants from the secondary impacts. This study adapts a transdisciplinary approach, combining research from epidemiology and injury biomechanics as a basis for identifying design problem areas and variable trade-offs. The objectives of this paper are to review literature on head injury and neck injury, and to provide suggestions for designing against head injury while considering neck injury. Since the head injury is mainly caused by contact, the fundamental design principle is to minimize any hard surface protrusion. Especially sharp objects, such as dash shade and mirrors, must be removed or kept outside the striking range in any configuration. There are several principles that can be used, in any combination, to achieve the required crush depth: (1) to prevent skull damage and brain trauma, locally modifying the design by removing rigid high points and moving hard assemblies down or under; (2) to decelerate head and torso at the same rate (which will also decrease the risk of neck injury) by modifying hard structures to make them crush or collapsible and obtaining as much clearance. There is a need to design and construct test equipment that can be used to test neck injury and head injury simultaneously.
VALIDATION OF INTERFACE SYSTEM ARCHITECTURE
Authors: Westermann William Evan , Tanik Murat M.
Published: November 2024

In this research, an interface-driven system architecture is validated and then decomposed into interface subsystems. The system is modeled and simulated in order to validate the system architecture prior to design and implementation. In addition to its emphasis on interfaces between components and its partitioning ability, the method presented has the following advantages over other design and analysis techniques: (1) It lays the foundation of interfaces as the primary emphasis of requirements; thus, categorizing the objects to be developed for any design. (2) The method validates an interface-based system architecture by modeling and simulating it, providing feedback at the architectural and requirements levels. (3) It permits the development of subsystems separated by a minimum number of edges and minimum capacity utilization across the cuts. The flows on the edges are based on bits per second as specified in the system requirements.
A GRAPH-BASED FRAMEWORK FOR RAPID CONSTRUCTION OF DOCUMENT	INTEGRATION TOOLS
Authors: Körtgen Anne-Thérèse , Becker Simon M. , Herold Sebastian
Published: November 2024

In development processes, multiple tools are used to describe different aspects of the product to be developed. Resulting information is stored in heterogeneous documents that are technically independent but whose contents are closely related on the semantic level. Thus, if one document is changed, these changes have to be propagated to dependent documents in order to restore mutual consistency. There is a need for integration tools which assist developers with consistency maintenance, because this is error-prone work if done manually due to complex and big documents. Due to the nature of development processes, these tools have to work incrementally and bidirectionally, and have to support user interaction. Driven by this need, we developed an approach for the realization of such tools which is currently being used in the chemical engineering domain. The core idea of the approach is to define graph-based rules that control change propagation. In (Becker et al, 2002) we gave an overview of the overall approach and in (Becker et al, 2003) we introduced the underlying rule models. The rule execution formalism is described in (Becker et al, 2004). In this paper, we present the architecture and the implementation of a framework realizing the approach and outline how the approach is going to be transferred into practice together with an industrial partner from the chemical engineering domain.
Digital Twin Types and Applications in Healthcare
Authors: Pop Eugen , Iliuţă Miruna-Elena , Moisescu Mihnea Alexandru
Published: November 2024

Digital Twins, represents an innovative approach consisting of real-time digital replicas of physical entities. This innovative concept has already many applications in Industry, automotive, business environment and is also transforming the healthcare industry. Digital Twins have the potential to provide comprehensive models of individual patients, hospital facilities, and medical processes, integrating data from various sources such as electronic health records, wearable devices, and imaging systems. This paper discusses Digital Twin models and their application in healthcare, focusing on care coordination, treatment planning and hospital management development.
Supporting Pharmacist-GP Collaboration in Medication Review Using Argumentation
Authors: Boudegzdame Nada , Sedki Karima , Lamy Jean-Baptiste
Published: November 2024

Medication review is a collaborative process between pharmacists and general practitioners (GPs) aimed at optimizing patient care by identifying and eliminating harmful medications. This paper proposes a collaborative platform to enhance pharmacist-GP interactions, assess drug-drug interactions, evaluate adverse effects, and manage dosages. The platform uses the issue mapping function of IBIS to structure dialogues and systematically evaluates proposed actions using the QuAD framework to support decision-making. An ontology based on medical knowledge ensures consistency, while visual enhancements such as varying edge width, color coding, and highlighting preferred actions enable swift, informed decisions. These tools improve collaboration and patient care outcomes.
Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes
Authors: Shah-Mohammadi Fatemeh , Finkelstein Joseph
Published: November 2024

This research investigates the application of a hybrid Retrieval-Augmented Generation (RAG) and Generative Pre-trained Transformer (GPT) pipeline for extracting and categorizing substance use information from unstructured clinical notes. The aim is to enhance the accuracy and efficiency of identifying substance use mentions and determining their status in patient documentation. By integrating RAG to pre-filter and focus the input for GPT, the pipeline strategically narrows the scope of analysis to the most relevant text segments, thereby improving the precision and recall of the extraction. Utilizing the Medical Information Mart for Intensive Care III dataset, the performance of the pipeline was evaluated through manual verification, assessing various metrics including recall, precision, F1-score, and accuracy. The results demonstrated high precision rates (up to 0.99 for drug and alcohol mentions), and substantial recall (0.88 across all substances for status of the usage).
A Neurosurgical Instrument Segmentation Approach to Assess Microsurgical Movements
Authors: Danilov Gleb , Pilipenko Oleg , Kostyumov Vasiliy , Trubetskoy Sergey , Maloyan Narek , Nutfullin Bulat , Ilyushin Eugeniy , Pitskhelauri David , Zelenova Alexandra , Bykanov Andrey
Published: November 2024

The ability to recognize anatomical landmarks, microsurgical instruments, and complex scenes and events in a surgical wound using computer vision presents new opportunities for studying microsurgery effectiveness. In this study, we aimed to develop an artificial intelligence-based solution for detecting, segmenting, and tracking microinstruments using a neurosurgical microscope. We have developed a technique to process videos from microscope camera, which involves creating a segmentation mask for the instrument and subsequently tracking it. We compared two segmentation approaches: (1) semantic segmentation using Visual Transformers (pre-trained domain-specific EndoViT model), enhanced with tracking as described by Cheng Y. et al. (our proposed approach), and (2) instance segmentation with tracking based on the YOLOv8l-seg architecture. We conducted experiments using the CholecSeg8k dataset and our proprietary set of neurosurgical videos (PSNV) from microscope. Our approach with tracking outperformed YOLOv8l-seg-based solutions and EndoViT model with no tracking on both CholecSeg8k (mean IoT = 0.8158, mean Dice = 0.8657) and PSNV (mean IoT = 0.7196, mean Dice = 0.8202) datasets. Our experiments with identifying neurosurgical instruments in a microscope’s field of view showcase the high quality of these technologies and their potential for valuable applications.
Generating Synthetic Healthcare Dialogues in Emergency Medicine Using Large Language Models
Authors: Moser Denis , Bender Matthias , Sariyar Murat
Published: November 2024

Natural Language Processing (NLP) has shown promise in fields like radiology for converting unstructured into structured data, but acquiring suitable datasets poses several challenges, including privacy concerns. Specifically, we aim to utilize Large Language Models (LLMs) to extract medical information from dialogues between ambulance staff and patients to populate emergency protocol forms. However, we currently lack dialogues with known content that can serve as a gold standard for an evaluation. We designed a pipeline using the quantized LLM “Zephyr-7b-beta” for initial dialogue generation, followed by refinement and translation using OpenAI’s GPT-4 Turbo. The MIMIC-IV database provided relevant medical data. The evaluation involved accuracy assessment via Retrieval-Augmented Generation (RAG) and sentiment analysis using multilingual models. Initial results showed a high accuracy of 94% with “Zephyr-7b-beta,” slightly decreasing to 87% after refinement with GPT-4 Turbo. Sentiment analysis indicated a qualitative shift towards more positive sentiment post-refinement. These findings highlight the potential and challenges of using LLMs for generating synthetic medical dialogues, informing future NLP system development in healthcare.
Use and Evaluation of GANs for Synthetic Data Generation in Pharmacogenetics
Authors: Aeschbacher Dominic , Meisner Jessica , Miletic Marko , Sariyar Murat
Published: November 2024

Pharmacogenetics (PGx) explores the influence of genetic variability on drug efficacy and tolerability. Synthetic Data Generation (SDG) has emerged as a promising alternative to the labor-intensive process of collecting real-world PGx data, which is required for high-qualitative prediction models. This study investigates the performance of two Generative Adversarial Network (GAN) models, CTGAN and CTAB-GAN+, in generating synthetic PGx data. The benchmarking is based on utility metrics (Hellinger distance and Random Forest accuracy) and ϵ-identifiability. Results demonstrate that synthetic data generated by CTAB-GAN+ can surpass the original dataset in terms of utility. For instance, CTAB-GAN+ achieves higher Random Forest accuracy compared to the original data, indicating better predictive performance. These improvements suggest that synthetic data not only capture the essential patterns of the original data but also enhance model generalization and prediction capabilities, providing a more robust training ground for machine learning models. Consequently, SDG offers a promising solution to address data scarcity and imbalance in pharmacogenetic research.
Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation
Authors: Gal-Nadasan Norbert , Stoicu-Tivadar Vasile , Gal-Nadasan Emanuela , Raluca Dinu Anca
Published: November 2024

This paper proposes to create an Robotic Process Automation style application that can digitalize and extract data from handwritten medical forms. The RPA robot uses OpenAI ChatGPT4o model to extract handwritten medical data and transform it into typed data. The handwritten data is transcribed correctly at a rate of 100%. The data interpretation is accomplished by the UiPath machine learning API. By creating new nonstandard form templates and associated taxonomies the system can be scaled as desired. After the data extraction process the saved data can be sent to a database, spreadsheet. The access to this medical data is restricted to the physicians and medical nurses employed at the medical facility.
A Collection of Data Quality Indicators for Health Research: Rationale for an Update
Authors: Stausberg Jürgen , Harkener Sonja , Bünz Solveig
Published: November 2024

Structured data are the capital of empirical health research. The value of these data relates to their quality and to their fit for use. A German guideline for the management of data quality in registries and cohort studies lists 51 quality indicators organized into the categories organization, integrity, and trueness. An update of the guideline will take into account the current view on dimensions of data, the appropriate structure for the definition of an indicator, and the collection of quality indicators itself. In the next version, the collection will explicitly address measures of metadata quality. The first step of a literature review revealed a high number of potential sources of evidence. These will be categorized into the topics dimensions, structure, and indicators respectively. Special attention will be paid to new challenges of data quality control arising from big data and artificial intelligence.
18th-Century Smallpox Inoculation Based on Susanna C. Heath’s Diary
Authors:   The Korean Association for the Social History of Medicine, Lee Hyon Ju
Published: November 2024

This article explores late 18th-century smallpox inoculation from the patient’s perspective, based on an inoculation journal written by Susannah Craft Heath. A resident of Brookline, Massachusetts, Heath was inoculated at the William Aspinwall’s Inoculation Hospital in her hometown during the 1792 smallpox epidemic. Due to the scarcity of patients’ records, the methods and processes of smallpox inoculation have been reconstructed mainly from published medical books, which present a detailed record of doctors’ perspectives on the medical procedure while underrepresenting or disregarding those of patients. In such a historiography, an inoculated patient appears as a passive object whose experience and opinions are conveyed only through their doctors’ records in a limited manner. Taking advantage of Heath’s hospitalization record, this study gives voice to an 18th-century inoculation patient’s physical and emotional responses to inoculation technology in its unique 18th-century medical context. In doing so, this article presents smallpox inoculation as a complex procedure and experience involving the intermingling of various aspects, including medical intervention, community activities, and caring for the sick.
Risks of Coronavirus Infectious Disease 19 (SARS-COV2) in Companion Animals
Authors: AL-Farwachi Maab Ibrahim , Albadrani Basima Abdulfatah , AL-Obadi Qaes Talb , Daher Hassan Saddam , Iqbal Muhammad Naeem
Published: November 2024

The epidemiological situation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV2) in humans and animals is continually evolving. Given the probable animal origin of SARS-COV2 and the recent case reports in pets, especially cats and dogs, and their close contact with humans, it is critical to comprehend how sensitive SARS-COV2 is to humans and vice versa in order to control the coronavirus infectious disease 19 (COVID-19) pandemic. The most susceptible companion animals to get SARS-COV2 infection include cats, ferrets, and hamsters. The virus SARS-COV2 that is carried from pets to humans is generally thought to have little to no effect on the viral transmission across the broader community, and there is little evidence of mutations. Thus, there is no requisite for specialized surveillance programs for SARS-COV2 infection in pets; in most cases, testing should only be done on pet owners or veterinarians who interact with these animals. It is recommended to properly dispose of human waste in order to lower the probability of SARS-COV2 spreading to animals. Additionally, it is best to avoid contact with pets, particularly if they are ill or deceased. In addition to evaluating animals exhibiting clinical indications, monitoring is advised for household pets. In conclusion, while there is evidence supporting the correlation between receptor profiles and SARS-CoV-2 infection rates in pets, further studies are warranted to clarify the implications for public health and animal health management.
Digital Natives in Preschool: Mexican Teachers’ Perspectives on Technology-Influenced Learning
Authors: Martínez Ramírez Karina Alejandra
Published: November 2024

The purpose of this cross-sectional phenomenological study is to explore and understand the impact that the use of technology and social media at home has on preschoolers, and how such technology outside the classroom influences their reactions and attitudes to traditional materials. This study explored the perspectives of five preschool teachers, who are the ones who have observed and lived this phenomenon in preschool classrooms, generation after generation. The instruments used for data collection were questionnaires and semi-structured interviews. After conducting a thematic analysis, the results suggest that digital resources and materials obtained more positive responses due to their engaging and interactive nature, whereas traditional materials were often met with boredom or disinterest by preschoolers.
A study on French public discourse on the Korean Wave
Authors:   United European Research Society, Kim Yoo-Joung
Published: November 2024

This study aimed to provide a comprehensive diagnosis of Europeans' empathy and perception of the Hallyu phenomenon by analyzing Hallyu-related articles reported in French newspapers. To fulfill this research purpose, the study analyzed articles related to Hallyu reported in French newspapers and academic journals. The primary goals were to identify the issues that French society is focusing on and to examine the construction of meaning and the direction of societal discussions regarding these issues. The analysis focused on Hallyu-related coverage in the French press from 2011 to 2021, a period when the Hallyu phenomenon expanded from Asia to Europe. The study conducted a thorough examination of French media using keywords such as Hallyu, Korea, Korean culture, and K-pop. The results of the analysis revealed a shift from past discourses that consistently portrayed Korea as the 'land of religious converts' and a 'passive kingdom of seclusion.' Instead, in today's French media, Korea is depicted as a dynamic cultural exporter, a small but influential cultural powerhouse that acts as a subject in dynamic cultural exports and exercises global influence through soft power. In this way, French media reproduced discussions about Korean society exerting influence globally through Hallyu, constructing a strong image of Korea.
Evaluation of resistance of collection samples of winter wheat to stress factors of the winter period
Authors: Afanasyeva Yu. V.
Published: November 2024

Relevance. The main grain food crop of the Central Black Earth Region is winter wheat. Annually, the crop occupies 2.2–2.5 million ha in the crops of the region, which is about 20% of all sown areas in the Russian Federation. As a result of the variability of climatic conditions in the region, which adversely affects the quantitative and qualitative indicators of winter wheat grain production, yields and gross grain yields can vary significantly from year to year. Depending on the combination of temperature, soil and air humidity, snow cover and its condition, a set of conditions for overwintering wheat is formed.

The purpose of the research is to study and isolate winter — hardy and resistant to damaging factors of the cold season samples of soft winter wheat in the conditions of the Moscow region.

Methods. The research was carried out in 2021–2023 in the village of Mikhnevo, Moscow region, in the fields of the Department of the gene pool and Plant Bioresources of the Federal State Budgetary Scientific Research Center for Horticulture.

Results. The objects of research were samples of winter wheat from the World Collection of VIR of domestic and foreign breeding, which were divided into 13 groups depending on the ecological and geographical origin. In 2021–2023, there were insufficiently favorable conditions for overwintering winter soft wheat, the average resistance in the nursery was 5.3 points (50–70% survival rate). A high level of overwintering was noted in the groups of varieties: Belarus (5.7 points), Latvia (5.9 points), Finland (5.6 points). The Danish varieties showed the least resistance to overwintering conditions (4.3 points). A high level of resistance to snow mold was noted in samples from Belarus, Denmark, Norway, Russia and Finland (from 7.0 to 9.0 points).
Digital technologies in vegetable seed quality assessment
Authors: Musaev F. B. , Ivanova M. I. , Priyatkin N. S.
Published: November 2024

Relevance. The shape determined by its linear parameters, the color of the surface are the most important characteristics of seed quality. The optical imaging method combined with the automatic analysis of digital scanned images allows statistically reliable differentiation of vegetable seeds by size and color parameters. The Federal Scientific Center of Vegetable Growing, together with employees of the Agrophysical Research Institute and “ArgusSoft” LLC, is developing a modern instrumental method of digital morphometry of seeds.

The purpose of the work is to determine the morphometric parameters of the seeds of three vegetable crops by digitally analyzing scanned images and establish their relationship with viability and quality indicators.

Methods. Digital images of the seeds were obtained using an HP Sasanjet 200 flatbed scanner, JPG file format, 600 DPI resolution. Morphometric analysis of digital scanned images of seeds was performed on the basis of the Agrophysical Research Institute using Argus-BIO software manufactured by “ArgusSoft” LLC, St. Petersburg.

Results. It is shown that by selecting onion and radish seeds in size and density, their quality indicators can be significantly improved: up to 75.5% germination in onions, up to 100% in radishes with maximum batch alignment estimated by digital morphometry. The ideal shape for cabbage seeds has been determined: for full-fledged cabbage seeds, the roundness index should be more than 0.9. Further development of the technique will allow determining the optimal parameters of the size and shape of seeds for various types of vegetable crops and linking them with qualitative indicators.
Technological properties of grain of new varieties of ancient wheat species
Authors: Temirbekova S. K. , Begeulov M. Sh. , Baida I. D. , Zverev S. V. , Politukha O. V.
Published: November 2024

Spelt wheat is an ancient species that has almost disappeared from the culture. The higher grain productivity of turgid wheat compared to other species and the similarity in grain characteristics to durum wheat attracts the attention of breeders.

Interest in spelt, spelt and turgid wheat is growing as environmentally friendly crops that are superior to wheat in protein, fiber, B vitamins and minerals. Currently, interest in filmy wheat — spelt and spelt — has increased in Western Europe and the United States. There is information that using them in food reduces the risk of cardiovascular diseases and some cancers, which is explained by the higher fiber content in it than in the flour of other types of wheat. The technological characteristics of grain of spelled varieties Runo, Gremme, Gremme 2U, spelled variety Alkoran and promising variety sample Znamenie, durum wheat variety sample Pobeda 70 and turgid wheat variety Kanysh were determined. The conducted research confirmed the possibility of using spelled flour, produced from spelled grain of the Gremme variety, for the production of bakery products of increased biological and nutritional value and with a high organoleptic assessment. The possibility of using grain of new varieties of ancient wheat species in the production of whole and crushed cereals obtained by abrasive grinding has been determined.
Transformation of interorganizational relations in integrated formations of the agricultural sector of the economy
Authors: Vertakova Ju. V. , Katkov Yu. N. , Romanova A. A.
Published: November 2024

The article substantiates management methods in integrated formations of the agricultural sector of the economy, shows the directions of the transformations currently taking place.

Agribusiness is undergoing significant changes due to increased innovation potential, increased knowledge intensity of agricultural production, digitalization and automation of processes. Under the influence of a number of economic and non-economic factors, interorganizational relations in the agro-industrial complex are changing. The integration of agribusiness leads not only to horizontal or vertical integration of agricultural producers with scientific and educational organizations, but also to the formation of new ecosystems and platforms.

The study of various factors that influence the transformation of integration interactions in the agro-industrial complex has allowed us to develop a model of interorganizational relations based on the implementation of a dichotomous approach to agribusiness management. The dichotomous approach made it possible to use complex system features and build an ecosystem organizational structure. The typology of Mitchell and Wood stakeholders based on Fassin›s classification was adopted as the basis of the formed organizational structure.

The study presents the model of interorganizational relations developed by the authors on the example of the integrated structure of the agroindustrial complex “TRIO”. It is shown that dichotomous division helps to streamline interaction within the corporate network and with the external environment. This division can be used to optimize management processes, improve coordination of activities and increase the effectiveness of external and internal communications.
Analysis of changes in the microbiome of the large intestine of sows and suckling pigs
Authors: Filatov A. V. , Ivanov D. N. , Sapozhnikov A. F.
Published: November 2024

The article is devoted to the study of the role of the probiotic complex “LiquaFid” on the formation of a microbial community in the large intestine of sows and piglets at the lactation stage. The mechanism of action of probiotic strains is due to the antagonistic effect to a wide range of pathogenic microorganisms, pathogens of lung infections, infections of the gastrointestinal tract, in particular to pathogens of salmonellosis, as well as immunomodulatory effects on the body. In the course of the experiment, we studied the quantitative and qualitative composition of the microbial community in lactating sows and suckling piglets in the large intestine. The biomaterial was selected from clinically healthy animals. Fecal examination was carried out in the molecular genetic laboratory of the “BIOTROF” company by real-time PCR using special diagnostic kits for the study of the biocenosis of “Femoflor®”. During the work, he beneficial effect of the probiotic complex “LiquaFid” on the formation of the microbiota of the large intestine of both sows and suckling piglets was noted, namely, it was found that the total microbial mass in the experimental group of sows increased by 74%. Against the background of the use of probiotics, the number of representatives of pathogenic microflora in the large intestine in both groups of experimental animals decreased significantly, the most noticeable of which was a 3-fold reduction in representatives of Streptococcus spp. piglets of the experimental group are in the feces.
Weight growth and safety of calves against the background of the use of mineral feed additives
Authors: Uryumtseva T. I. , Gorelik O. V. , Gorelik A. S. , Rebezov M. B. , Kharlap S. Yu.
Published: November 2024

Relevance. Insufficient feeding has a negative effect on the metabolism and health of the cow, as well as on the condition of the offspring being born. Weak calves that have not accumulated reserve nutrients by birth are susceptible to various diseases.

The purpose of the work is to study the effect of the use of mineral feed additives when feeding heifers on the growth and development, safety of newborn young.

Methods. To conduct the study in a typical breeding plant for the region, 3 groups of heifers (10 heads each) were formed — a control group and two experimental ones based on the principle of pairs of analogues. The safety of calves and their weight growth were assessed by weighing individually and calculating growth indicators according to generally accepted methods and formulas. The impact of the use of mineral feed additives when feeding heifers during the deadwood period on the health of calves was evaluated.

Results. It was found that the use of such mineral feed additives as zeolite from the Karinsky deposit and “Mineral Active” to heifers in the third trimester of pregnancy had a positive effect on the growth and safety of newborn calves. Calves of the experimental groups had a live birth weight significantly higher than calves obtained from heifers of the control group. To some extent, this had an impact on the live weight of calves at 3 months of age (p < 0.01). Despite the significant difference in live weight and average daily live weight gains in favor of calves of the experimental groups, the relative increase (or growth intensity) turned out to be higher in calves of the control group with almost unchanged growth multiplicity.