bluuebunny/crossref_metadata_2025 huggingface dataset:
REALIZATION OF A UBIQUITOUS NETWORK ON THE JINI NETWORK	INFRASTRUCTURE
Authors: Watanabe Sachio
Published: November 2024

The global social structure has transformed from an Agrarian Society to an Industrial Society. The world is forming an Information Society and seeking more prosperity now. New ubiquitous computing networks are emerging and having a profound impact on every aspect of modern social and industrial life. The Internet now has a global reach and new media are emerging. The background to this paper is the fact that new and emerging information technologies (IT) are greatly altering the structure of the Japanese IT Industry. That is, mega-competition has emerged in IT markets because of the telecommunications big bang (deregulation), globalization, and the convergence of the home electronics, computing, and communications markets. Other factors, such as hardware and software price erosion and the new and emerging technological seeds of venture companies, are bringing profound changes to the IT industry in Japan. The background to this paper is the fact that a new technology called "ubiquitous computing network" has now emerged as a new and most advanced technology also in Japanese IT market. Dr. Mark D. Weiser of Xerox Palo Alto Research Center advocates the terminology called "ubiquitous computing" in 1991 The "ubiquitous computing network" is a network in which any embedded microprocessors found in automobiles, cell phones, and other intelligent home life electronic equipment, are connected to the global Internet network and communicate with each other. The network is very flexible when compared to a conventional network, which is rigid, hierarchical, and centralized. This paper presents an interesting example of application of JINI ubiquitous computing network composed of MindStorm intelligent robots.
EXPLOITING THE CONSTRUCTION OF E-LEARNER COMMUNITIES FROM A TRUST	CONNECTIONIST POINT OF VIEW
Authors: Yang Fan , Krämer Bernd J. , Han Peng , Shen Ruimin
Published: November 2024

E-learning settings such as on-line courses offered in China often involve large numbers of geographically dispersed students who have diverse professional background, learning preferences, and disparate learning needs. However, current e-learning and classroom teaching methods are extremely limited with respect to personalized learning as they typically provide the same content to all students. Hence, students are finding it difficult to make a decision about which learning materials best meet their personal demands, whilst instructors are finding it almost impossible to recommend personalized materials most appropriate to students since the individual study situations are disparate and hard to analyze. This paper proposes an e-learner Community Building strategy based on Hebbian Learning Rule, which helps learners to set up trusted neighbor connections to peer students with similar study situations. In addition, students can get useful recommendations for proper learning resources from their peers. Based on this theory a recommendation platform has been developed that enables a learner to enquire recommendations, vote on recommended resources and communicate with neighbor learners. Experimental results derived from real learner data have shown that this system can organize learners properly and efficiently, and the cooperative recommendation service indeed improves the students' learning achievements.
TOWARDS SEMANTIC INTEGRATION OF COMPONENTS USING A SERVICE-BASED	ARCHITECTURE
Authors: Jololian Leon
Published: November 2024

The post facto integration of independently developed software components has not been particularly successful. Lack of agreed upon technological standards and the absence of semantic integration models are two major contributing factors. While bridging component standards at the wiring level has been addressed through the use of adapters and proxies, no such alternatives exist for bridging the gap between components at the operational and semantic levels. In this paper we present a framework for component integration at the semantic level. Our approach is based on the creation of ontology that captures operational and semantic details about the desired components. Through automated reasoning of the ontology it will be possible to infer information about the mediation process for two components. The information is then used to create an appropriate adapter that will connect to the two components and serve as the mediator.
VRPS-I: AN INTERNET-BASED VIRTUAL RAPID PROTOTYPING SYSTEM
Authors: Xu Anping , Hou Hongye , Qu Yunxia , Gao Yanping
Published: November 2024

The part quality and cost are greatly affected by process parameters during rapid prototyping (RP). This paper proposes a Virtual Rapid Prototyping System (VRPS) and describes its functions, characteristics and realization method. Moreover, aimed at the Selective Laser Sintering (SLS) technology, an Internet-based virtual rapid prototyping system named VRPS-I is implemented using Java and Virtual Reality Modeling Language (VRML). The system resembles the physical fabrication system of SLS. With the aid of this system, not only can the visual rapid prototyping process be dynamically previewed, but the forming process and some part-quality-related parameters can also be predicted and evaluated. Therefore, the reasonable rapid prototyping parameters can be predetermined according to the simulated results without any physical RP machine. Hence, it can help optimize the prototyping process, improve part quality, enhance fabrication efficiency, and lower the model making cost significantly.
AUTOMATIC DOMAIN ONTOLOGY GENERATION FROM WEB SITES
Authors: Wong Tak-Lam , Lam Wai , Chen Enhong
Published: November 2024

Ontology plays an important role in semantic Web technology since it can effectively represent the domain knowledge. We develop a novel framework for automatically generating the domain knowledge by analyzing different Web sites in a given domain. The idea of our approach is to consider two kinds of information from the Web sites. The first kind of information is the text fragments corresponding to the concepts in the ontology. The other kind of information is the header labels corresponding to the concepts. We design a method for generating the domain ontology by measuring the similarity between the concepts in different Web sites. We have conducted extensive experiments to demonstrate the effectiveness of our approach.
EXTRACTING RELATIONS AMONG EMBEDDED SOFTWARE DESIGN PATTERNS
Authors: Kubo Atsuto , Washizaki Hironori , Takasu Atsuhiro , Fukazawa Yoshiaki
Published: November 2024

Pattern is a reusable description of knowledge. Efficient software development can be achieved by sharing and reusing knowledge using patterns and their relations. Because the manual analysis of relations among patterns is costly, we proposed an automatic relation analysis technique for software patterns. Knowledge management in embedded software design has fallen behind. However, in these days, some patterns in embedded software design have become available on the World Wide Web (WWW) and other resources.The purpose of this paper is to obtain some useful relations among embedded software design patterns and GoF's design patterns. Our technique will be useful for the automated relation analysis among patterns. As a result of experiments, some relations among different pattern catalogs (e.g., GoF's design pattern catalog and real-time system design pattern catalog) are extracted. These relations are thought to be useful in software development.
TOWARDS A SERVICE-ORIENTED DEVELOPMENT METHODOLOGY
Authors: Ivanyukovich Alexander , Gangadharan G.R. , D'Andrea Vincenzo , Marchese Maurizio
Published: November 2024

Leveraging a service-oriented paradigm would significantly affect the way people build software systems. However, to achieve this ambitious vision a solid software development methodology should be in place, comprising specific, service-context patterns as well as appropriate supporting tools which altogether integrate methods and best practices into a stable development environment. This paper presents a structured approach to analyzing software development methodologies in light of the specific features of service-oriented applications. The proposed approach is based on a critical assessment of existing software development methodologies along three methodological dimensions, namely managing change in software development, specifying the software development process and targeting the stakeholder goals. For each of this dimension we first identify suitable software methodologies capable to meet the specific challenges and then discuss their contribution towards the definition of a service-oriented development methodology.
ANALYSIS OF MEDICAL DEVICES DESIGN REQUIREMENTS
Authors: Chen Mingbin , Chen Zhenyu , Kong Lan , Zeng Yong
Published: November 2024

The design and functional complexity of medical devices have increased during the past 50 years. As device functionality is becoming complex, safety, reliability, and comfort are becoming increasingly critical in the medical devices design. Case studies show that the majority of failures of medical devices come from the ignorance of important design requirements in the design stage. Based on the environment-based design model, this paper studies the sources of medical devices design requirements and proposes a systematic approach to guiding the gathering and collection of these requirements.
DESIGN AND PERFORMANCE ANALYSIS OF IMAGE AUTHENTICATION ALGORITHM	USING WAVELET TRANSFORM BASED ON LIFTING SCHEME
Authors: Govindaswamy Umamaheswari , Shanmugam A.
Published: November 2024

As the use of digital media becomes ever more widespread, the data distribution process is becoming faster and easier, while requiring less effort to make exact copies. One of the major challenges for intellectual property protection of digital media is to discourage unauthorized copying and distribution. Digital watermarking has been proposed as a way to claim the ownership of the source and owner. To achieve maximum protection, the watermark should be perceptually invisible, statically undetectable, resistant to lossy data compression, and resistant to common image processing operations. Besides perceptual invisibility, private control of the watermark is also very important. In this paper, a private key-dependent, wavelet-based lifting scheme is proposed to improve the security of the image authentication algorithm. Experimental results show that the embedded watermark is robust against various signal processing and compression attacks.
RELIABLE AND SECURE CHIP LEVEL COMMUNICATION BY RESIDUE NUMBER	SYSTEM CODE
Authors: Hosseinzadeh Mehdi , Reshadi Midia , Khademzadeh Ahmad , Navi Keivan
Published: November 2024

Residue Number System (RNS) is an integer and non weighted number system that is useful tool for Digital Signal Processing (DSP) since it can support parallel, carry-free, high-speed and low power arithmetic. Redundant Residue Number System is an extension of RNS which also supports error detection and correction. The Multi-Level Residue Number System uses the new Residue Number System for each modulo, so in the relation of decreasing modulo the speed of operation is increased. By the combination of those systems we purpose a new numeric system which supports parallel and high speed computations, restricted carry propagation and reliable communications. This system also supports high error detection and correction capabilities. Because of design challenge of future nanoscale regime, on-chip networks have been proposed as a solution. As technology scales toward deep submicron, on-chip interconnects are becoming more sensitive to noise sources such as crosstalk or power supply noise. Therefore error detection and correction is one of the major properties of future on-chip micro networks. In this paper we propose using Redundant Multi-Level Residue Number System to increase the data transmission reliability in on-chip networks. This method achieves more optimizations in the terms of data security, error detection and correction, high speed data transmission and computation.
PERFORMANCE SIMULATION AND DESIGN OF PETRI NET SYSTEMS
Authors: Gonsalves Tad , Itoh Kiyoshi
Published: November 2024

The domain expert's heuristics are used in the performance design of collaborative systems which are modelled by client-server timed Petri nets. The collaborative system Petri net model is decomposed into basic primitive structures. The performance design rules that make up the expert system are categorized according to the primitive structure type. The rules are classified as: Diagnostic Rules, Primitive Structure Rules, Upstream Search Rules, Downstream Propagation Rules and Advisory Rules. In tuning the system operation, the expert system follows the policy of local improvement, while keeping the global propagation of adverse effects of tuning to a minimum.
AgileTecting™: A PRINCIPLED APPROACH TO INTRODUCING AGILITY IN	SYSTEMS ENGINEERING AND PRODUCT DEVELOPMENT ENTERPRISES
Authors: Madni Azad M.
Published: November 2024

Competitive market forces continue to impose challenging tradeoffs in the development of complex systems and products. On the one hand, there is great pressure to incorporate the latest breakthroughs. On the other hand, system reliability cannot be compromised. Agile systems architecting in concerned with balancing these competing requirements while determining where and how agility should be introduced to achieve a competitive advantage and/or requisite adaptability to changing circumstances. Agility in the development process is needed to rapidly and cost-effectively exploit technology breakthroughs for improving process efficiencies and costs. Agility in the end product is needed to ensure adaptability to a new environment or changing circumstances and to opportunistically upgrade component technologies to reduce lifecycle costs and improve "ilities." This paper introduces agility from several perspectives and presents "AgileTecting™," a principled approach to determining if and where agility is needed and to what degree, and subsequently guiding its introduction in the process and/or product with corresponding recommendations for infrastructure, organization and cultural changes.
ANALYSIS, MODELING AND SIMULATION OF NETWORK TRACES FOR VIDEO	TRANSMISSION OVER IP NETWORKS
Authors: Yang Ming , Bourbakis Nikolaos
Published: November 2024

In the best-effort IP network, quality of service (QoS) cannot be guaranteed, and thus packets could possibly be delayed or lost. Packet delay/loss will inevitably degrade the perceptual quality of real-time multimedia-over-IP service, such as Voice-over-IP (VoIP), Video-on-Demand (VoD), etc. In general, packet loss/delay exhibits temporal dependence. In order to efficiently conduct error recovery/concealment and improve the perceptual quality of the transmitted multimedia contents, packet loss/delay has to be precisely modeled. Different mathematical models, such as Bernoulli Model, Gilbert Model, Extended Gilbert Model, have been proposed to model network trace. However, none of them is able to precisely model the networked multimedia trace like the General Markov Model (GMM), which has rarely been applied in practice due to massive computational resource requirements. With the developments of modern computing hardware and parallel processing algorithms, GMM is becoming computationally feasible. In this paper, in order to obtain network traces for real-time VoD transmission, different connections have been setup to simulate a real VoD system. Data packets have been transmitted between the server and clients under RTP/UDP/IP protocol stack. Different models have been applied to analyze and model the obtained video transmission network traces. Specifically, a 6-state GMM has been applied to analyze the network trace, and the parameterized model has been obtained for further error recover/concealment. Compared to the other models, GMM offers the best modeling precision, in terms of loss-run distribution (LSD) and Forward Error Correction (FEC) performance prediction. The parameterized GMM is very useful to model and analyze network traces and further improve the QoS in multimedia-over-IP based on the modeling and analysis.
FORMAL MODELLING OF REAL-TIME EMBEDDED AUTOMOTIVE	ARCHITECTURE
Authors: Belarbi Mostefa
Published: November 2024

This paper proposes a formal environment for distributed embedded systems. This approach consists of modelling our embedded system in a hierarchical manner by subdividing it into levels. The first level consists of the modelled application using a task set and the operating system objects (semaphores, mailboxes, watchdogs) which schedule tasks to realise application functions. The second level consists of modelling the hardware components of our embedded system. Our distributed system consists of a network of ECU (Electronic Control Unity) in which like-CAN bus allows ECU to communicate with each other. The communication with the ECU is based on pre-emptive fixed priority scheduling. The Architecture scheme contains an OS layer. This paper suggests an approach based on abstraction to different pieces of architecture, e.g., ECU, OS, application, communicating bus, is suggested. A formal method which allows for interaction between software and hardware elements of the distributed architecture is developed. Based on IF-language, models of all these elements are proposed. The external environment of the distributed systems is also modelled. Observer automata is also suggested to specify architecture properties. These ideas are presented through exploration of an automotive case study.
OPTIMIZING COST IN SOFTWARE DEVELOPMENT PROJECTS
Authors: Gonsalves Tad , Kawabata Ryo , Itoh Kiyoshi
Published: November 2024

The development of software projects requires the co-ordination of the efforts of a team of professionals with varying skills. Given the time, quality and cost constraints, the major problem in software development is to assign the right personnel to the right job at the right time and at the right cost. In this study, we propose a skill-to-time model in which the task processing time varies in accordance with the level of skill possessed by the personnel assigned to the task. We cast the problem as a cost optimization problem with several practical constraints and find an optimal solution using the Particle Swarm Optimization (PSO).
AUTOMATIC OBJECT IDENTIFICATION USING VISUAL LOW LEVEL FEATURE	EXTRACTION AND ONTOLOGICAL KNOWLEDGE
Authors: Sirakov Nikolay Metodiev , Suh Sang C. , Attardo Salvatore
Published: November 2024

The present work is a part of research study aiming to develop an algorithm and a software system capable of quick identification of weapons and relations between human and a weapon in a scene. Bridging the semantic gap between the low level knowledge extracted from an image and the high level semantics needed to negotiate the weapon domain ontology is connected to the features extraction algorithms. Also, the ontology is anticipated to help facilitate the recognition part of the work. To accelerate the search process a hierarchy of attributes and concepts will be applied to cluster the ontology using a set of extracted features. The ontological structure, the clustering ideas and the feature extraction approaches and algorithms are introduced in the paper. Experimental results for boundary and convex hull extraction are shown as well. The paper ends with discussion and the future directions of the present work.
EXTRACTION OF DATABASE TABLE DESIGN BY TRANSACTIONS
Authors: Kamimura Manabu , Kawabata Ryo , Itoh Kiyoshi
Published: November 2024

We propose a method of designing database tables from the viewpoint of transactions. Business systems run many transactions because of the request from many people or machines, such as customers and other computer systems. The transaction is usually defined for each request, though the system has to meet all the transaction. We propose a method to define the database table for the whole system from the collection of each transaction. We transform the state diagrams of each transaction to the diagram which defines steps in the transaction and extract the database table from the step information
SET APPROXIMATION BASED COMBINATORIAL SEARCH FOR INTERACTION	NETWORK-BASED CONCEPTUAL DESIGN
Authors: Choi Keunho , Kim Kyoung-Yun , Yang Hyung-Jeong
Published: November 2024

Cross-disciplinary technologies are noticeable phenomena in modern products, as found in renewable energy and electric vehicle industries. However, current conceptual design tools have been limited to respond these cross-disciplinary technology products. One of remarkable characteristics in this technology change is transforming an existing product with multiple cross-disciplinary technologies. Interaction Networks have been designed to respond this phenomenon. The networks aim to support a design process (i.e. transformation process) to produce a new product from a base product by adding and/or converting functions/features with reference products or technologies. In this paper, we propose a set approximation technique that can search functions and structures that are beyond the existing design repository, while considering a design process context to combine multi-disciplinary functions/features. Also, to facilitate the transformation process, this paper proposes the Function-Behavior Interaction and Structure-Behavior networks, and compares a base product with multiple products via the two types of networks.
AdSCHE: DESIGN OF AN AUCTION-BASED FRAMEWORK FOR DECENTRALIZED	SCHEDULING
Authors: Wang Chun
Published: November 2024

Decentralized scheduling is one of the newly emerged avenues in scheduling research. It is concerned with allocating resources to alternative possible uses over time, where competing uses are represented by autonomous agents. Compared with classical scheduling models, decentralized scheduling is characterized with the distribution of scheduling knowledge and control, which introduces new levels of complexities, namely the coordination complexity due to the interaction problems among agents and the mechanism design complexity due to the self-interested nature of agents. These complexities intertwine and need to be addressed concurrently. This paper presents an auction-based framework which tackles coordination and mechanism design complexities through integrating an iterative bidding protocol, a requirement-based bidding language, and a constraint-based winner determination approach. Without imposing a time window discretization on resources the requirement-based bidding language allows bidders to bid for the processing of a set of jobs with constraints. Prices can be attached to quality attributes of schedules. The winner determination algorithm uses a depth-first branch and bound search. A constraint directed scheduling procedure is used at each node to verify the feasibility of the allocation. The bidding procedure is implemented by an ascending auction protocol. Experimental results show that the proposed auction framework exhibits improved computational properties compared with the general combinatorial auctions. A case study of applying the framework to decentralized media content scheduling in narrowcasting is also presented.
INTELLIGENT WIRELESS EV FAST CHARGING WITH SMFIR. TECHNOLOGY
Authors: Suh In-Soo
Published: November 2024

While introducing electric vehicles (EVs) into the massive market volume is important for the global environmental protection and reduced dependence on the petroleum depletion, the customers' acceptance on electric vehicles is one of critical elements toward future eco-friendly transportation. Transportation sectors are responsible for approximately 25% of global CO2 emissions. One of the major issues in market penetration of electric vehicles is establishing enough numbers of charging stations in view of customers' convenience. Wireless and fast charging system can contribute significantly to establishing charging stations for EV with improved safety and convenience. Applying the shaped magnetic field in resonance (SMFIR®) technology enables the EV battery charging wirelessly without having any plug or wire. The power capacity can be high enough to reduce the charging time to less than half an hour depending on the energy storage capacity of battery. In this paper, the main features of intelligent wireless EV fast charging system operating at stationary are described with the technical aspect of system architecture including the development of billing and center operational management system.
A RELATIONSHIP-CENTRIC HYBRID INTERFACE FOR BROWSING AND AUDITING	THE UMLS
Authors: Ochs Christopher , Geller James , Perl Yehoshua
Published: November 2024

The Unified Medical Language System (UMLS) is a large and complex controlled medical terminology managed by the National Library of Medicine. The UMLS combines about 160 different terminologies into the Metathesaurus containing over 2.4 million concepts linked by about 50 million relationships. The process of merging 160 terminologies with often very different structures is a complex and error-prone task. Auditing terminologies for quality assurance is an important phase of any terminology's life cycle. Previously, we developed the Neighborhood Auditing Tool (NAT), a concept-centric browser and auditing tool for the UMLS. In this paper we discuss the "Relationship, Audit Set Builder and Concept Neighborhood Auditing Tool" (RAC-NAT), an expansion of the NAT into a multi-faceted browsing and auditing tool.
COMPLEXITY MEASURES FOR NETWORK PROCESS EVOLUTION
Authors: Sobrinho Fuad Gattaz , Gattaz Cristiane Chaves , Pacheco Oscar Ivan Palma
Published: November 2024

The foundation for network process evolution research is the modeling of network structure and behavior complexity. With such a model, network systems can be directed toward acquiring good maintainability attributes according to the principles of engineering. In this paper, a Process Management Network (PMN) model is developed to acquire directly from the target process codes the knowledge hidden among and within components of network systems. With the knowledge acquired by the PMN model, network structure and behavior complexity measures in terms of partitioning, restructuring and rewriting criteria are developed; a systematic process re-modularization schema is derived, and algorithms for scheduling network changes are presented. These criteria and mechanisms are used to guide the network evolution.
Intact and Damage Stability Metamodels for the Concept Design of Naval Ships
Authors: Norcia Nicola , Utzeri Samuele , Braidotti Luca , Bertagna Serena , Bucci Vittorio , Marino’ Alberto
Published: November 2024

Naval vessel technologies are in continuous development; in recent years, new and increasingly energy-intensive weapon and detection systems, energy storage systems and new configurations of destroyer’s power and propulsion systems introduced new challenges that shall be considered during the ship design since the conceptual stage. They have a very strong impact on the technical and war performances of the vessel during its life-cycle. In this sense, the adoption of modern multi-attribute decision-based methods is essential to successfully cope with a completely new ship prototype during the concept design. Among the constraints to be satisfied in this process, intact and damaged stability is for sure among the most relevant, having a strong impact on ship subdivision and general arrangement. This work describes an approach to assess the compliance of a ship with the intact stability regulations (RINAMIL) based on the ship’s main geometrical quantities. Moreover, a metamodel based on the maximum floodable length concept (damage stability) allows for determining the feasibility of the main internal subdivision of the ship. Both the metamodels have been developed considering a database of destroyers that were generated starting from a baseline hull, varying five hull-form parameters using the design of experiment (DoE) technique.
Green and Lightweight Boat: A Case Study of Samothrace Project
Authors: Briguglio Giovanni , Brando Giuseppe , Crupi Vincenzo
Published: November 2024

The European Union guidelines require innovative solutions for reducing emissions in the maritime transport. Some investigations have been also conducted to underline the advantages of the electrification of the maritime transports, especially for medium-short range boats in comparison with traditional diesel power drives. This study is based on a lightweight boat with green propulsion system. A life cycle assessment analysis was conducted for making a comparison among three different propulsion systems for this catamaran: full electric, hybrid hydrogen and internal combustion engine cases. The obtained results could encourage the spread of a new generation of green and smart boats with onboard sensors that can contribute to the maritime decarbonization and sea digitalization. Electric powertrains are more flexible to the implementation of more sophisticated digital systems for making further efficient the whole power trains in comparison to diesel engines.
Clinical aspects of management of patients with acute and chronic pain
Authors:   Volgograd State Medical University, Volgograd, Russian Federation, Barulin А.Е. , Kurushina O.V. ,   Volgograd State Medical University, Volgograd, Russian Federation, Puchkov A.E. ,   Volgograd State Medical University, Volgograd, Russian Federation
Published: November 2024

Pain syndrome is one of the most common reasons to seek medical help. The paper considers an issue of pain syndrome in patients with
various diseases. Various pathogenetic variants of dorsalgia development in the setting of inflammatory and degenerative-dystrophic changes
are presented. The main biomechanical and biochemical processes associated with the pain syndrome are summarized. Several features of
the course and therapeutic methods of the back pain syndrome associated with ankylosing spondylitis, osteoarthritis, as well as gouty and
rheumatoid arthritis are considered. The paper outlines general principles of therapy for acute and chronic nociceptive pain syndromes.
Medicinal and non-medicinal therapeutic methods are discussed. Since specific and non-specific inflammatory reactions represent a key
pathogenetic mechanism in most of the reviewed cases of acute and chronic pain syndrome, anti-inflammatory drugs play a leading role in the
condition therapy. We considered the possibility to use nonsteroidal anti-inflammatory drugs (NSAIDs) and B vitamins.
KEYWORDS: back pain, osteoarthritis, ankylosing spondylitis, rheumatoid arthritis, chronic pain syndrome, acute pain syndrome.
FOR CITATION: Barulin А.Е., Kurushina O.V., Puchkov A.E. Clinical aspects of management of patients with acute and chronic pain. Russian
Medical Inquiry. 2024;8(10):576–581 (in Russ.). DOI: 10.32364/2587-6821-2024-8-10-5
Atypical Hirayama disease (case report)
Authors:   M.F. Vladimirskiy Moscow Regional Research and Clinical Institute, Moscow, Russian Federation, Kondratov A.A. , Kotov A.S. ,   M.F. Vladimirskiy Moscow Regional Research and Clinical Institute, Moscow, Russian Federation
Published: November 2024

Hirayama disease (HD), known as monomelic amyotrophy, is a rare benign disease. Typically, it represents progressive predominantly unilateral
atrophy of mainly distal muscles of the upper extremities in young Asian men. Although the disease pathogenesis is still unknown, most
scientists assume that a discrepancy between lengths of the spinal cord and the spinal canal caused by a rapid increase in growth, plays a key
role in its development. The clinical presentation of HD is characterized by a gradual (3-5 year-long) progression of weakness and muscular
atrophy in the distal segments of predominantly one upper limb, symptom deterioration associated with cold exposure and absence of sensory
impairments. Sometimes the disease demonstrates atypical symptoms. The main diagnostic method for HD is magnetic resonance imaging
of the cervical spine in a flexion position; additionally, stimulation electroneuromyography is performed. Both conservative and surgical
therapies are focused on symptom mitigation, rehabilitation and quality of life maintenance.
KEYWORDS: Hirayama disease, myelopathy, monomelic amyotrophy, muscular atrophy.
FOR CITATION: Kondratov A.A., Kotov A.S. Atypical Hirayama disease (case report). Russian Medical Inquiry. 2024;8(10):587–591 (in
Russ.). DOI: 10.32364/2587-6821-2024-8-10-7
Diagnosis of diabetes mellitus and variants of glucose kinetics in an intravenous glucose tolerance test
Authors:   N.A. Semashko National Research Institute of Public Health, Moscow, Russian Federation, Dreval A.V.
Published: November 2024

Using the developed mathematical model of glucose kinetics, the data of the intravenous glucose tolerance test (VTTG) obtained from 67
non-diabetic individuals, 27 patients with DM2 and 13 patients with DM1 were processed. The developed method of processing intravenous
GGT data allows not only to unambiguously separate patients with DM and those without DM, but also to assess the severity of carbohydrate
metabolism disorders and, as well as to identify DM only at the stage of glucose kinetics disorder, that is, before glucose kinetics disorders
lead to the development of hyperglycemia. The intravenous GGT data analysis method allows for separate monitoring of glucose production
by the liver and its elimination from the blood of the subject, which opens up new opportunities in the selection of hypoglycemic drugs and
evaluation of their efficacy. In particular, regimens for prescribing hypoglycemic therapy in DM have been proposed, depending on the four
glucose kinetics variants diagnosed in intravenous GGT. Two case studies show how prescribed hypoglycemic drugs affect the rate of glucose
excretion from the blood in intravenous GGT (case study 1), as well as how a disorder of glucose kinetics parameters manifests itself before
the development of hyperglycemia (case study 2).
KEYWORDS: diabetes mellitus, hyperglycemia, impaired glucose tolerance, intravenous glucose tolerance test, glucose kinetics, hypoglycemic
drugs.
FOR CITATION: Dreval A.V. Diagnosis of diabetes mellitus and variants of glucose kinetics in an intravenous glucose tolerance test. Russian
Medical Inquiry. 2024;8(9):531–536 (in Russ.). DOI: 10.32364/2587-6821-2024-8-9-5
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
Authors: Zhu Meilu , Mao Axiu , Liu Jun , Yuan Yixuan
Published: November 2024

Integrating low-rank adaptation (LoRA) with federated learning (FL) has received widespread attention recently, aiming to adapt pretrained foundation models (FMs) to downstream medical tasks via privacy-preserving decentralized training. However, owing to the direct combination of LoRA and FL, current methods generally undergo two problems, i.e., aggregation deviation, and differential privacy (DP) noise amplification effect. To address these problems, we propose a novel privacy-preserving federated finetuning framework called Deviation Eliminating and Noise Regulating (DEeR). Specifically, we firstly theoretically prove that the necessary condition to eliminate aggregation deviation is guaranteing the equivalence between LoRA parameters of clients. Based on the theoretical insight, a deviation eliminator is designed to utilize alternating minimization algorithm to iteratively optimize the zero-initialized and non-zero-initialized parameter matrices of LoRA, ensuring that aggregation deviation always be zeros during training. Furthermore, we also conduct an in-depth analysis of the noise amplification effect and find that this problem is mainly caused by the “linear relationship” between DP noise and LoRA parameters. To suppress the noise amplification effect, we propose a noise regulator that exploits two regulator factors to decouple relationship between DP and LoRA, thereby achieving robust privacy protection and excellent finetuning performance. Additionally, we perform comprehensive ablated experiments to verify the effectiveness of the deviation eliminator and noise regulator. DEeR shows better performance on public medical datasets in comparison with state-of-the-art approaches. The code is available at https://github.com/CUHK-AIM-Group/DEeR.
Towards Quantum Simulation of Lower-Dimensional Supersymmetric Lattice Models
Authors: Mendicelli Emanuele , Schaich David
Published: November 2024

Supersymmetric models are grounded in the intriguing concept of a hypothetical symmetry that relates bosonic and fermionic particles. This symmetry has profound implications, offering valuable extensions to the Standard Model of particle physics and fostering connections to theories of quantum gravity. However, lattice studies exploring the non-perturbative features of these models, such as spontaneous supersymmetry breaking and real-time evolution encounter significant challenges, particularly due to the infamous sign problem.

The sign problem obstructs simulations on classical computers, especially when dealing with high-dimensional lattice systems. While one potential solution is to adopt the Hamiltonian formalism, this approach necessitates an exponential increase in classical resources with the number of lattice sites and degrees of freedom, rendering it impractical for large systems. In contrast, quantum hardware offers a promising alternative, as it requires in principle a polynomial amount of resources, making the study of these models more accessible.

In this context, we explore the encoding of lower-dimensional supersymmetric quantum mechanics onto qubits. We also highlight our ongoing efforts to implement and check the model supersymmetry breaking on an IBM gate-based quantum simulator with and without shot noise, addressing the technical challenges we face and the potential implications of our findings for advancing our understanding of supersymmetry.
Job Involvement Mediating Organizational Intelligence, Workplace Spirituality and Work Life Quality among Red Crescent Employees
Authors:   Department of Psychology, Faculty of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran., Sheikhi Ghalehsardi Rahman , Heidari Alireza ,   Department of Psychology, Faculty of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran., Asgari Parviz ,   Department of Psychology, Faculty of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran., Eftekhar Saadi Zahra ,   Department of Psychology, Faculty of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
Published: November 2024

Background and Objectives: Spirituality in the workplace is the individual’s perception of their workplace enabling them to find their goal in life, and align their beliefs with the organization they work for. This study was conducted to investigate the relationship between the quality of work life (QWL) with organizational intelligence and workplace spirituality among employees of the Iranian Red Crescent Society mediated by job involvement.
Methods: In this descriptive-correlational study, the statistical population comprises all employees of the Red Crescent Society of Yazd Province, Iran, in 2022. Using convenience sampling, 304 employees were selected to complete the questionnaires of the study. The research instruments included the QWL questionnaire, organizational intelligence questionnaire, measurement of job and work involvement, and workplace spirituality scale. The proposed model was analyzed using path analysis.
Results: The results suggested a direct relationship between organizational intelligence and job involvement in employees of the Red Crescent Society (P<0.001). Moreover, there was a significant relationship between workplace spirituality and QWL (P<0.001), and between workplace spirituality and job involvement in employees of the Red Crescent Society (P=0.004). The relationship between job involvement and QWL was positive and significant (P<0.001). The relationship between indirect paths with the QWL was significant through job involvement (P<0.01).
Conclusion: Job involvement and workplace spirituality were positively related to the QWL of employees. Based on this model, various programs can be developed and designed to prevent career burnout and improve the quality of their work life.
Comparing the Effectiveness of Cognitive-behavioral Therapy Combined With Self-compassion and Cognitive Motor Activities and Cognitive Motor Intervention Alone on Forgiveness and Self-compassion in the Elderly
Authors:   Department of Psychology, Faculty of Literature and Humanities, Birjand Branch, Islamic Azad University, Birjand, Iran., Kashmari Anahita , Shahabizadeh Fatemeh ,   Department of Psychology, Faculty of Literature and Humanities, Birjand Branch, Islamic Azad University, Birjand, Iran., Ahi Ghasem ,   Department of Psychology, Faculty of Literature and Humanities, Birjand Branch, Islamic Azad University, Birjand, Iran., Mahmoudi Rad Alireza ,   Department of Psychology, Faculty of Literature and Humanities, Birjand Branch, Islamic Azad University, Birjand, Iran.
Published: November 2024

Background and Objectives: Forgiveness and self-compassion are essential constructs that are the opposite of high levels of anxiety and depression in older people. Their improvement can help reduce the problems of psychological symptoms in older people, therefore, this research aims to compare the effectiveness of cognitive-behavioral therapy (CBT) combined with self-compassion, cognitive-motor activities, and specific cognitive-motor intervention conducted on forgiveness and self-compassion of older people.
Methods: The research method was a quasi-experimental study with a pre-test & post-test and follow-up design with a control group. For this purpose, a sample consisting of 42 people (21 women and 21 men) over 60 years of age living in Mashhad City, Iran in 2021 who met the inclusion criteria were selected and, after random assignment in three groups of the first experiment (combined CBT intervention self-compassion with cognitive-motor activities), the second experimental group (intervention of cognitive-motor activities) and the control group (without any intervention) and underwent interventions in 18 sessions during 9 weeks.
Results: The data obtained from the questionnaires of the heartland forgiveness scale (HFS) and the self-compassion questionnaire were analyzed by the multivariate analysis of covariance method with repeated measurements, and the results showed a significant difference between the test groups and the control group, in the mean scores of forgiveness (P<0.001) and self-compassion (P<0.001) in the post-test and follow-up. Also, a significant difference was observed between the two test groups in the mean self-compassion scores in the post-test and follow-up (P<0.001).
Conclusion: Undergoing 9 weeks of CBT along with self-compassion accompanied by cognitive-motor activities, as well as 9 weeks of intervention with cognitive-motor activities alone can contribute to increasing forgiveness and self-compassion in older people.
The Relationship Between Religious Attitude and Anxiety Caused by COVID-19 in South Khorasan Province, Iran
Authors:   Department of Public Health, School of Nursing and Midwifery, Birjand University of Medical Sciences, Ghaen, Iran., Jani Mohammadreza , Nazari Hamid ,   Department of Public Health, School of Nursing and Midwifery, Birjand University of Medical Sciences, Ghaen, Iran., Arabahmadi Ali ,   Department of Public Health, School of Nursing and Midwifery, Birjand University of Medical Sciences, Ghaen, Iran.
Published: November 2024

Background and Objectives: Anxiety manifests as feelings of worry, stress, and physical changes, such as rapid heart rate and high blood pressure. According to the coronavirus prevention protocols, home quarantine is necessary to control the disease in society, but doing it causes a feeling of social isolation and, ultimately, different psychological effects, such as mood disorders, depression, anxiety, and mental disorders. This study aims to investigate the relationship between religious attitudes and anxiety caused by COVID-19 in the population of South Khorasan Province, Iran.
Methods: Using a web-based descriptive-analytical study, data from 507 people were voluntarily collected using a demographic information questionnaire, religious attitudes of Sirajzadeh (26 questions), and anxiety caused by COVID-19 disease (18 questions). Multivariate linear regression was used to identify the effect of factors affecting anxiety related to the disease.
Results: The results of this study showed no significant relationship between religious attitudes and anxiety in two-variable analysis (P>0.05), but in the presence of other variables in multivariate linear regression analysis, a significant relationship is observed between the dimension of the consequence of religious attitudes and physical anxiety (P=0.006). Also, the level of anxiety among women (P<0.001) in the age group 31-40 (P=0.003), married people (P<0.001), the unemployed (P<0.001), and people with a history of chronic diseases (P=0.003) was higher.
Conclusion: This study showed a significant relationship between the consequences of religious attitude and physical anxiety, as well as high levels of anxiety among different population groups. Our study revealed high levels of anxiety among different populations among these groups. In this regard, the health care system should reduce the level of anxiety among high-risk groups by using psychological interventions and strengthening the religious basis of the society using religious leaders.
Ethical Decision-making Model for Educators: Insights from Imam Sajjad’s Supplications
Authors:   Nursing and Midwifery Care Research Center, Iran University of Medical Sciences, Tehran, Iran., Rezaei Adaryani Mohsen , Gholamali Ahmad ,   Nursing and Midwifery Care Research Center, Iran University of Medical Sciences, Tehran, Iran., Borimnejad Leili ,   Nursing and Midwifery Care Research Center, Iran University of Medical Sciences, Tehran, Iran.
Published: November 2024

Background and Objectives: Ethical performance is essential for educational leaders, but the ethical decision-making (EDM) process is poorly understood in different contexts. Islamic countries, with a distinctive philosophy, require their theories of ethics. This study aims to explain a model of EDM based on the teachings of Sahifa Sajjadiyya, a collection of supplications and moral guidance by Imam Sajjad, the fourth Shia Imam.
Methods: This study was conducted to examine the text of Sahifa Sajjadiyya and extract all the concepts related to the ethics of managers using conventional content analysis. To ensure the accuracy of the interpretation, the researchers consulted various commentaries on the text, such as Riyad-al-Salekin (in Arabic) and several Persian explanations. The consensus of researchers and external audits also verified the validity and reliability of the results.
Results: The model derived from this study has three main categories that every manager should consider in every decision: Necessities, facilitating factors, and inhibiting factors of EDM. Each category has interrelated subcategories.
Conclusion: According to the findings of this study, the central variable of this model is faith in God’s absolute sovereignty as the basis for EDM. The influencing factors that can range from inhibition to facilitation include the manager’s individual characteristics, organizational atmosphere, and community culture. These concepts can be used to design decision-making evaluation questionnaires for managers.