bluuebunny/crossref_metadata_2025 huggingface dataset:
Opioid Addiction what's Going on and what Might Stop it
Authors: Hendricks LaVelle
Published: December 2023

Though opiates are the most effective form of painkillers, they are highly addictive and many of these opiate addictions lead to heroin addictions or death. The medical community has worsened this problem by over prescribing and prescribing strong painkillers for routine surgeries in which patients do not need high-strength medication. Because opiates are expensive, many abusers sum to heroin instead which is cheaper and does not require a prescription, and heroin usage often results in overdose and fatality. However, research being conducted in the medical research field shows signs of optimism in the development of alternative, Jess addictive painkillers. In confronting the issue at hand, lives will be saved and addiction rates will be significantly lowered by maintaining strict prescribing parameters to patients who actually need the opiates.
DIMENSIONS OF ISLAMIC PHILOSOPHY IN OBSERVING RELIGIOUS MODERATION
Authors: Vick Ainun Haq  , Achmad Khudori Soleh  , Asti Amelia
Published: December 2023

ABSTRACT

One of the problems that happens regarding religious moderation is that many people do not claim a particular religion, whether or not religious moderation only applies to individuals or groups who have a religion. The role of Islamic Philosophy seems to be urged to solve the problem. To explore the variety of Islamic philosophical thoughts led this article to discuss the thoughts of Suhrawardi, the founder of Isyraqi philosophy. This article aimed to analyze the concept of Isyraqi philosophy related to the esoteric concept of religious pluralism and its relationship to human tolerance in the discourse of religious moderation. This research applied a literature review, collecting information sourced from books and journal articles, especially about Suhrawardi’s thoughts as the primary source and relevant studies as the secondary source. The results of the research showed that; (1) Allah SWT is the main source for the creation of knowledge, religions and beliefs (2) Isyraqi philosophy acknowledges the esoteric nature of pluralism as the basis of ethical concepts (3) Tolerance is based on the awareness to decline every single fanaticism towards reality. Thus, because of the implications of the philosophical thinking above, religious moderation should cover all levels of society, both the believers and non-believers.

ABSTRAK

Pada faktanya masih banyak masyarakat yang tidak mengklaim agama tertentu, disinilah masalah moderasi beragama, apakah moderasi beragama hanya berlaku untuk seseorang atau kalangan  yang memiliki agama? Peran Filsafat Islam seakan didesak untuk menjawab pertanyaan tersebut. Menelusuri ragam pemikiran Filsafat Islam mengantarkan artikel ini untuk mendiskusikan pemikiran Suhrawardi, sosok pencetus Filsafat Isyraqi. Artikel ini bertujuan menganalisis konsep Filsafat Isyraqi terkait konsep esoteris pluralisme agama dan kaitannya dengan toleransi umat manusia dalam wacana moderasi beragama. Proses penelitian ini menggunakan tinjauan pustaka, pengumpulan informasi bersumber dari buku maupun artikel jurnal, terutama tentang pemikiran Suhrawardi sebagai sumber primer dan yang relevan dengan tema-tema terkait sebagai sumber sekunder. Hasil dari penelitian ini menunjukan bahwa; (1) Allah Swt merupakan sumber utama atas terciptanya ilmu, agama-agama dan keyakinan (2) Filsafat Isyraqi mengakui hakikat esoteris pluralis sebagai dasar konsep etika (3) Toleransi didasari dengan kesadaran menolak fanatisme tunggal terhadap realitas. Dengan demikian sebabagai implikasi pemikiran filsafat di atas maka selayaknya Moderasi Beragama harus mencakup seluruh lapisan masyarakat baik bagi penganut agama maupun tidak (penganut kepercayaan)
Protecting healthcare privacy: Analysis of data protection developments in India
Authors: Naithani Paarth
Published: December 2023

Patient privacy is essential and so is ensuring confidentiality in the doctor-patient relationship. However, today’s reality is that patient information is increasingly accessible to third parties outside this relationship. This article discusses India's data protection framework and assesses data protection developments in India including the Digital Personal Data Protection Act, 2023.
Classification of the technical condition of rolling bearing by the scalar indicators and support vector machines
Authors: Puzyr Volodymyr , Mykhalkiv Serhii
Published: December 2023

Background: the necessity to classify the technical condition of rolling bearings by machine learning methods to reduce the influence of the human factor and to reduce the duration of diagnostics;
Objective: determining an acceptable combination of scalar indicators to provide high accuracy of the binary classification;
Methods: for the acquired signals of the fault free axle-bearing of rolling stock and the bearing with the damaged roller, four scalar indicators were calculated: root mean square, crest factor, asymmetry and kurtosis, which were grouped into the corresponding datasets and used for training the support vector machines;
Results: learning accuracy was calculated for the four datasets with two different predictors in each dataset;
Conclusions: the properties of the behavior of the root mean square and kurtosis of vibration were taken into account, and it was possible to achieve 100 % accuracy of learning the support vector machines in the corresponding combinations of the scalar indicators
Polishing of precision parts from polymer optical materials
Authors: Filatov Yuriy , Sidorko Volodymyr , Kovalev Sergiy , Kovalev Viktor , Yurchishin Oksana
Published: December 2023

The conducted research concerns the study of the laws influence of the physicochemical properties the processed material and the polishing dispersion system on the productivity of removing the processed material and the roughness the processed surfaces during the polishing of polymeric optical materials. The research was carried out according to a special methodology, the parameters of the roughness of the polished surfaces were determined using elements of computer modeling. As a result of the study, it was determined that during the polishing precision parts made of polystyrene and polymethyl methacrylate with the help of a dispersed system of micro- and nanoparticles non-abrasive organic materials, the removal performance of the processed material and the parameters the roughness of the treated surfaces are achieved, which meet the requirements extending to the optical surfaces.
Advantages of multivariate regression analysis over ANOVA
Authors: Bondarenko Artem , Lapach Sergiy
Published: December 2023

When modeling technological processes nowadays, it is necessary to take into account a large number of factors. Until now, analysis of variance (ANOVA) is often used in educational courses and in practical activities, although the possibility of using regression analysis instead, especially with a large number of factors, has been shown for quite some time. The paper examines in detail, using an example, the advantages of regression analysis over ANOVA in the modeling of technological processes. As an example, modeling of the manufacture of fiberglass bolts taking into account three factors is taken. Models of regression analysis and ANOVA, their statistical characteristics are given. A detailed comparative analysis of their application for modeling and optimization of technological processes was performed. Significant advantages of regression analysis compared to dispersion analysis for modeling technological processes are shown.
The model of nonlinear deformation of layered materials
Authors: Shikula Olena , Zhukova Nataliia
Published: December 2023

The model of nonlinear deformation of a layered material with physically nonlinear layers is proposed. The laminate is considered a two-component material with random layers. The basis is the stochastic differential equations of the physically nonlinear theory of elasticity by L.P. Khoroshun. The solution to the problem of the stress-strain state and effective properties of the composite material is constructed by the averaging method. An algorithm for determining the effective deformable properties of a layered material with physically nonlinear layers has been developed. The solution of nonlinear equations taking into account their physical nonlinearity is constructed by an iterative method. The law of the relationship between macrostresses and macrostrains in a layered material and the dependence of average strains and stresses in its layers on macrostrains has been established. Curves of material deformation are plotted for different values of the volumetric content of its filler. The dependence of the effective deformative properties of the laminated material on the volumetric content of the filler has been studied. The effect of nonlinearity of layers on the deformation of a layered composite material is investigated. It was found that the nonlinearity of the layers have significant influence on the effective deformative properties and the stress-strain state of laminated materials.
Identification of the dynamic characteristics of the technological machining system
Authors: Petrakov Yuriy , Ohrimenko Oleksandr , Sikailo Maksym
Published: December 2023

The method of experimental determination of the dynamic characteristics of the technological machining system, taking into account the generalized structural scheme of the process, is presented. An equivalent elastic system under the influence of a force disturbance can be represented as a one-mass model with two or three degrees of freedom. The mathematical model should contain three main parameters: frequency of natural oscillations, stiffness and damping coefficient of oscillations, which are determined experimentally. An example of identification for the end milling operation on the 6M13 vertical milling machine is presented. The created stand contains a multi-component MCS10-005-3C sensor, ClipX BM40 signal amplifiers and a computer with a special interface and allows you to determine stiffness based on the results of "load-displacement" measurements. To determine the frequency of self-oscillations, a signal in the form of an impulse response is used from a special PCD Piezotronics Impact Hammer connected to a storage oscilloscope. During the experiment, a file is created in Excel format, which is presented in the form of an amplitude-frequency characteristic using standard Fourier transforms. The obtained spectrum is approximated by the typical amplitude-frequency characteristic of the oscillating link, from which the frequency of natural oscillations is determined.
Application of cryptocurrency as a method of payment in tourism
Authors: Mujačević Elvis
Published: December 2023

Purpose - The paper summarizes the theoretical and empirical knowledge on the use and transactions of cryptocurrencies in tourism and examines the use of cryptocurrencies as a means of payment in Croatian tourism. Methodology/Design/Approach – The empirical research examines the attitudes and opinions of tourists in Croatian tourism regarding their willingness to pay with cryptocurrencies while travelling. Findings - The research results show a low level of payment for tourism services with cryptocurrencies in the Republic of Croatia, but a fairly open acceptance of cryptocurrencies as a means of payment for tourism services. The study found no correlation between the profile of respondents and the motivation to pay with cryptocurrencies. However, a correlation was found between the age of the respondents and the intention to pay, but there were no statistically significant differences in the intention to pay according to the age group of the respondents. No correlation was also found between motivation and intention to pay with cryptocurrencies. Originality of the research – The study can serve as a basis for further research on the use of cryptocurrencies in tourism. It helps to expand knowledge about the motivation and intention to use cryptocurrencies on a tourism trip and to understand tourists’ behavior.
A Modified Slicing Method with Multi-Dimensional Unfolding to Measure Hadron-Argon Cross Sections
Authors: Liu Yinrui
Published: December 2023

Liquid argon technology is widely used by many previous and current neutrino experiments, and it is also promising for future large-scale neutrino experiments. When detecting neutrinos using liquid argon, many hadrons are involved, which can also interact with argon nuclei. In order to gain a better understanding of detection processes, and to simulate neutrino events, knowledge of hadron-argon cross sections is needed. This paper describes a new procedure, which improves upon the previous work with a multi-dimensional unfolding, to measure hadron-argon cross sections in a liquid argon time projection chamber. Through a simplified version of simulation, we demonstrate the validity of this procedure.
Examining Cross-Industry Clusters among Airlines and Tourism: An Island Context Perspective
Authors: Liasidou Sotiroula
Published: December 2023

Cross-industry clusters are important for the economic prosperity of a region. However, studies are lacking to address competitive clusters among the aviation and tourism industries. Thus, this paper considers the case of both industries in terms of clusters and synergies formed. This research aim is to provide an understanding of both industries' protagonists' involvement in contributing to knowledge insights on the establishment of synergies or clusters among the two industries. Cyprus is highly dependent on tourism and aviation because they facilitate connectivity. The research is filled with semi-structured interviews with the main players and organizations of the airline and tourism industries (government bodies, airports, airlines, tour operators, and hotels). The results are indicative and suggest that, in a small geographical context, the notion of clusters involves a synergetic relationship among tourism stakeholders. Airlines’ role is important because it has an effect on all stakeholders involved in tourism.
A Place for Women and Women's Issues: An Examination of Narratives on Postpartum Depression Self-Disclosure on Pinterest
Authors: Fenton Annika , Erak Aleksandra , Konkle Anne TM
Published: December 2023

This study aimed to expand and inform the growing body of research on Postpartum Depression, from a netnographic standpoint, for the social media platform of Pinterest. More specifically, it aimed to assess the type of content present on Pinterest regarding Postpartum Depression shared by women in 2018 and 2021, as well as examine the subjective experience of women who have experienced this mood disorder. Data were collected following a search using the keywords “Postpartum Depression” on Pinterest on two separate timestamps (2018 and 2021); pins were limited to those in English or French. Master themes were identified among all pins and those identified as “self-disclosure” were subsequently further analyzed. Self-disclosure data were separately analysed using thematic analysis, specifically adopting a deductive thematic approach for the 2021 data set stemming from the coding scheme created from analysis of the 2018 data. Major themes were identified, and an analysis of frequency was performed for each sub-theme, along with qualitative examples associated with each theme. A total of 483 Pinterest pins from two different time points of 2018 (169 pins) and 2021 (314 sample pins) were analyzed. Five primary categories were identified in both 2018 and 2021, with five additional categories being identified in the 2021 dataset. Comparative results from 2018 and 2021 self-disclosure pins show individuals’ varying yet similar subjective manifestations of PPD, the potential need to adopt a multidisciplinary treatment approach, and the societal fears, such as mental health stigma, that are playing a part in help-seeking behavior hesitancies. Our findings provide imperative insight into individuals’ subjective experiences with PPD; experiences that involve a sensitive and vulnerable topic. Netnographic research, along with Pinterest, must be taken into consideration for future work delving into women’s health issues, including those surrounding perinatal mental health.
Association of Parkinson’s Disease and Cancer: New Findings and Possible Mediators
Authors: Surguchov Andrei , Surguchev Alexei
Published: December 2023

Epidemiological evidence points to an inverse association between Parkinson's disease (PD) and almost all cancers except melanoma, for which this association is positive. The results of many studies have found that patients with PD are at reduced risk of the majority of neoplasm occurrence and death. Several potential biological explanations exist for the inverse relationship between cancer and PD. Recent results identified several PD-associated proteins and factors mediating cancer development and cancer-associated factors affecting PD. Accumulating data points to the role of genetic traits, members of the synuclein family, neurotrophic factors, ubiquitin-proteasome system, circulating melatonin, and transcription factors as such mediators. We present recent data about shared pathogenetic factors and mediators that might be involved in the association between these two diseases. We also discuss how these factors, individually or in combination, may be involved in pathology, serve as links between PD and cancer, and affect the prevalence of these disorders. Identification of these factors and investigations of their mechanisms will lead to the discovery of new targets for the treatment of both diseases
Quaternion-Spin and Some Consequences
Authors: Sanctuary Bryan
Published: December 2023

Changing the symmetry of spin from SU(2) to the quaternion group, $Q_8$, has many ramifications. In this paper we first summarize the properties of Q-spin and then discuss some of those resulting changes.
A Novel Compact Broadband Quasi-Twisted Branch Line Coupler Based on Double-Layered Microstrip Line
Authors: Ahmed Fayyadh A. H , Saad Rola , Khamas Salam K
Published: December 2023

A novel quasi-twisted miniaturized wideband Branch Line Coupler (BLC) is proposed. The design is based on bisecting the conventional microstrip line BLC transversely and folding bisected sections on double-layered substrates with a common ground plane in between. The pair of quarter wavelength horizontal parallel arms is converted to a Z-shape meandered microstrip line in the designed structure. On the other hand, the pair of quarter wavelength vertical arms are cut by half into two lines and converted to a periodically loaded slow wave structure. The bisected parts of BLC are placed on the opposite side of the doubled-layer substrate and connected through four vias passing through the common ground plane. This technique enabled a compact BLC size of 6.4×18 mm2, which corresponds to a surface area miniaturization by ~50% as compared to the classical BLC size of 10×23 mm2 at 6GHz, Moreover, the attained relative bandwidth is 73.9% (4.6-10 GHz) for S11, and 75.8% (4.5-10 GHz) for S33 as compared to 41% for the ordinary BLC at the same resonant frequency. The circuit is constructed on a double-layered low-cost FR4 substrate with a relative permittivity of 4.3, and a loss tangent of 0.025. An isolation of -13dB was realized in both S13 and S31 demonstrating an excellent performance. The transmission coefficients between input/output ports S21, S41, S23, and S43 are between -3.1dB to -3.5dB at the frequency of 6GHz. Finally, the proposed BLC provides phase differences between output ports of 90.5o and 94.8o at the frequency of 6GHz when the input ports 1 and 3 are excited, respectively. The presented design offers the potential of being utilized as a unit cell for building a Butler-matrix (BM) for sub-6GHz 5G beamforming networks.
Assessing the precision of point-of-care immunological analyzer for swift progesterone measurement and guidance for determining the optimal breeding time in bitches
Authors: Suwannachote Thanikran , Wutthiwitthayaphong Supphathat , Arayatham Saengtawan , Prasitsuwan Wisut , Ruenphet Sakchai
Published: December 2023

The measurement of sP4 often varies due to different laboratory methodologies and individual canine characteristics. In this investigation, sP4 outcomes obtained from a commercial POC analyzer, designed for efficient sP4 assessment in bitches, were compared with results derived from CMIA, the reference laboratories in Thailand. Thorough documentation encompassed various parameters: mean, standard deviation (SD), 95% confidence interval (CI), minimum and maximum sP4 concentration values. Additionally, we meticulously recorded the Pearson’s correlation coefficient, Lin’s concordance correlation coefficient, and the bias correction factor. Interestingly, there was no significant difference (p > 0.05) in the means obtained by the POC and CMIA. The Pearson’s correlation coefficient between POC and CMIA stood at 0.957, with Lin’s concordance correlation coefficient for POC recorded as 0.949. Furthermore, the bias correction factor was established at 0.991. This investigation followed established CMIA guidelines, modified to incorporate the mean and 95% CI as criteria for optimal breeding time using the POC analyzer. In conclusion, the commercial POC immunologic analyzer emerges as a valuable tool, aiding in precisely determining the optimal timing for natural mating or artificial insemination in bitches.
The Push Forward in Rehabilitation; Validation of a Machine Learning Method for Detection of Wheelchair Propulsion Type
Authors: Slikke Rienk van der van der , Leeuw Arie-Willem de , Rooij Aleid de , Berger Monique
Published: December 2023

Within rehabilitation, there is great need for a simple method to monitor wheelchair use, especially whether it is active or passive. For this purpose, an existing measurement technique was extended with a method for detecting self or attendant pushed wheelchair propulsion. The validity was determined by comparison with manual annotation of wheelchair use. Twenty-four amputation and stroke patients completed a semi-structured course of active and passive wheelchair use. Based on a machine learning approach, a method was developed that detected the type of movement. The machine learning method was trained based on the data of a single wheel sensor as well as a setup using an additional sensor on the frame. The method showed high accuracy (F1 = 0.886, frame and wheel sensor) even if only a single wheel sensor was used (F1 = 0.827). The developed and validated measurement method is ideally suited to easily determine wheelchair use and the corresponding activity level of patients in rehabilitation.
A Deep Sequencing Strategy for Investigation of Virus Variants Within African Swine Fever Virus-infected Pigs
Authors: Johnston Camille Melissa , Olesen Ann Sofie , Lohse Louise , Madsen Agnete le Maire , Bøtner Anette , Belsham Graham J. , Rasmussen Thomas Bruun
Published: December 2023

African swine fever virus (ASFV) is the causative agent of African swine fever, an economically important disease of pigs, often with a high case fatality rate. ASFV has demonstrated low genetic diversity among isolates collected within Eurasia. To explore the influence of viral variants on clinical outcomes and infection-dynamics in pigs experimentally infected with ASFV, we have designed a deep sequencing strategy. Variant analysis revealed 3 distinct SNPs present in the virus inoculum (at 2.4%, 0.7%, and 13% frequency, respectively) that were maintained within all infected pigs (1-6 % frequency, and the latter at 16-21%). Several pigs displayed other unique SNPs at <10% frequency. In addition, a deletion of 10487 bp (resulting in the complete loss of 21 genes) was present at nearly 100% frequency in the ASFV DNA from one pig at position 6362-16849. This deletion was also found to be present at low levels in the virus inoculum and in two other infected pigs. The current methodology can be used for the currently circulating Eurasian ASFVs and also adapted to other ASFV strains and genotypes. Comprehensive deep sequencing is critical for following ASFV molecular evolution, especially for identification of modifications that affect virus virulence.
Seismic Vulnerability Assessment at Urban Scale by Means of Machine Learning Techniques
Authors: Ferranti Guglielmo , Greco Annalisa , Pluchino Alessandro , Rapisarda Andrea , Scibilia Adriano
Published: December 2023

Seismic vulnerability assessment in urban areas would in principle require the detailed modeling of each single building and the implementation of complex numerical calculations. This procedure is clearly difficult to apply at urban scale where many buildings have to be considered and therefore it is essential to have simplified, but at the same time reliable, approaches to vulnerability assessment. Among the proposed strategies, one of the most interesting concerns the application of machine learning algorithms, able to classify buildings according to their vulnerability on the basis of training procedures applied to existing datasets. In this paper machine learning algorithms will be applied to a dataset which collects and catalogs the structural characteristics of a large number of buildings and reports the damage observed in L’Aquila territory during the intense seismic activity occurred in 2009. A combination of a trained neural network and a random forest algorithm allows to identify an opportune “a-posteriori” vulnerability score, deduced from the observed damage, which is compared to an “a-priori” vulnerability one, evaluated taking into account characteristic indexes for building’s typologies. By means of this comparison an inverse approach to seismic vulnerability assessment, which can be extended to different urban centers, is proposed.
Quality Changes Monitoring of Fresh-Cut Apples during Distribution in Real-Time Cold Chain Systems Application
Authors: Laksana Andri Jaya , Kim Jong-Hoon , An Jae-Hwan , Kim Ji-Young
Published: December 2023

Fresh-cut apple is commonly known as minimally processed agriculture products because of their convenience and ease of consumption. However, during storage, the quality of the apple rapidly changes after the cutting process due to enzymatic and non-enzymatic processes. This study aimed to monitor the quality changes of fresh-cut apples at various temperatures and different types of products in the application of a cold chain system during distribution and storage. The results showed that the total viable count in fresh-cut apples initially differed between apple only and mixed products (apple, orange, and tomato) during storage (p < 0.05). Moreover, there are no significant differences (p > 0.05) in physicochemicals except firmness, titratable acidity, and pH, which are highly correlated to microbial growth (total viable count and total coliform number). Furthermore, the optimal temperature for extending the shelf-life of fresh-cut apples was at 4°C.
Ultra-Wideband Vivaldi Antennas Designed on an Economical Substrate for 5G Base Stations
Authors: T Thyagaraj , Prasanna Keshava , S A Hariprasad
Published: December 2023

in this article, an ultra-wideband traveling wave antenna with antipodal topology is proposed. The proposed design is realized on an economical substrate with minimum thickness. The proposed design offers an ultra-wide bandwidth of 26 to 40 GHz, translating to 42%. The dimensions of the antenna are 20mm x10mm x 0.5mm indicating an electrically compact structure. The proposed antenna offers high front to back ratio of at least 10dB across the bandwidth of operation. The forward gain of the antenna varies from 4 to 7dBi in the afore-mentioned band. The pattern integrity is maintained throughout the band. The antenna is fabricated using the commercial photolithography process. A mutli-step topology of the antennas is also proposed for wide angular coverage. The coverage is greater than 150º with mutual coupling less than 25dB. These performance metrics is achieved with a very small footprint. Simulated and experimental results are presented in this paper.
The Relationship between Exercise Participation Satisfaction, Exercise Commitment, and Exercise Adherence Intention according to Peer Relationships among Korean School Sports Club Participants
Authors: Jung Tae Gyeom , Jung Myung Kyu , Lee Ji Hae
Published: December 2023

Introduction: This study explored the structural relationship between peer relations, exercise participation satisfaction, exercise commitment, and adherence to intention to exercise among Korean sports club participants. The objective was to offer insights that can enhance intentions for continuous exercise participation. Methods: To fulfill this objective, data were gathered using snowball sampling from teenagers at middle schools in Seoul and Gyeonggi, South Korea, who either currently participate in school sports clubs or have participated in the past. A total of 261 responses were analyzed using frequency, technical statistics, and confirmatory factor, reliability, correlation, and structural equation model analyses. Results: Through these analyses, this study found that peer relationships, exercise participation satisfaction, and exercise commitment were significant as both direct and indirect influences on exercise adherence intentions. Discussion: Intervention strategies should focus on fostering the positive emotions that stem from peer relationships.
Thermal performance assessment of aerogel application in additive construction of energy-efficient buildings
Authors: Kotov Evgeny Vladimirovich , Nemova Darya , Sergeev Vitaly , Dontsova Anna , Koryakovtseva Tatyana , Andreeva Darya
Published: December 2023

The main development direction of energy efficiency technologies in construction is the creation of various materials with a complex structure and unique strength, thermal and other properties. The aerogel is a material with high porosity and excellent thermal insulation properties. This paper provides the state-of-the-art of aerogel applications for the additive manufacturing of energy efficient buildings. This work provides the experimental and numerical assessment results of thermal conductivity of aerogel-enhanced blanket, the experimental assessment results of thermal performance of aerogel-enhanced building structure, the experimental assessment results of the aerogel application as mixture powder component of the concrete mixture to printing building and the experimental assessment results of the aerogel application as parget powder component. Experimental results show the effect of aerogel powder component application: thermal conductivity decreased by 25%.
Missense Variants in COL4A1/2 Are Associated with Cerebral Aneurysms: A Case Report and Literature Review
Authors: Uemura Masahiro , Tanaka Natsuki , Ando Shoichiro , Yanagihara Takehiko , Onodera Osamu
Published: December 2023

Background: Although cerebral aneurysm (CA) is a defining complication of COL4A1/2-related vasculopathy, the specific factors influencing its onset remain uncertain. This study aimed to identify and analyze these factors. Methods: We described a family presenting with a novel variant in the COL4A1 gene complicated with CA. Concurrently, an exhaustive review of previously documented patients with COL4A1/2-related vasculopathy was conducted by sourcing data from PubMed, Web of Science, Google Scholar, and Ichushi databases. We compared the variant types and locations between patients with CA (positive group) and those without CA (negative group). Results: This investigation encompassed 53 COL4A1/2 variants in 76 patients. Except for one start codon variant, all the identified variants in CA were missense variants. Otherwise, CA was not associated with other clinical manifestations, such as small-vessel disease or other large-vessel abnormalities. A higher frequency of missense variants (95.5% vs 58.1%, p = 0.0035) was identified in the CA positive group. Conclusions: CA development appears to necessitate qualitative alterations in COL4A1/2, and the underlying mechanism seems independent of small vessel disease or other large vessel anomalies. Our findings suggest that a meticulous evaluation of CA is necessary when missense variants in COL4A1/2 are identified.
Microalgae as an Alternative Mineral Source in Poultry Nutrition
Authors: Costa Mónica M. , Spínola Maria P. , Prates José A. M.
Published: December 2023

This review explores the potential of microalgae as a sustainable and nutritionally rich alternative for mineral supplementation in poultry diets, addressing both the opportunities and challenges in this emerging field. Poultry nutrition, pivotal to the health and productivity of birds, traditionally relies on inorganic and organic mineral sources, which, while effective, raise environmental and economic concerns. Microalgae offer a promising solution with their high content of essential minerals, proteins, vitamins, and bioactive compounds. The review delves into the nutritional profile of various microalgae, highlighting their rich mineral content, crucial for physiological processes in poultry. It examines the bioavailability of these minerals and their impact on poultry health and productivity. Furthermore, it evaluates the environmental sustainability of microalgae cultivation and acknowledges the challenges in using microalgae in poultry diets, particularly in terms of the economic viability of large-scale production and the consistency of nutrient composition. It discusses the importance of rigorous safety assessments and regulatory compliance, given the potential risks of toxins and heavy metals. Overall, this analysis aims to provide a clear understanding of the role microalgae could play in poultry nutrition and address sustainability challenges in animal agriculture, while also considering future perspectives and advancements needed in this field.
Organizational Communication in Times of Crisis and Psychological Experience of Hospital Staff: Case of Hospitals in Morocco
Authors: Amjahed Hicham Hicham Amjahed , Elouafa Jamal Elouafa , Mohamed bendahan Mohamed Bendahan
Published: December 2023

Since the start of the COVID-19 pandemic, the world has witnessed a digital revolution that has transformed the way information are broadcast and consumed. This rapid evolution was accompanied by an “infodemic” (Beaulieu, 2019), a transformation of workplaces (Lulli LG, 2021)and difficulties in managing information flows (Bendahan & Nader, 2020). In this scientific article, we examine the communication strategies adopted by hospital structures as they are perceived by staff, highlighting their psychological and professional experiences throughout the crisis period. The results of the study carried out among hospital staff (n=200) demonstrate that the perception of communication strategies is generally positive for 78.56% of participants (M=1.85). The assessments of the staff interviewed as for the effect of this communication on the psychological experience and on the management of professional tasks have a positive trend respectively (M=2.15) and (M=1.86)
Impact of Flooding Attack on Wireless Sensor Networks: Framework and Toolkit
Authors: AlGhofaili Rakan , Albinali Hussah , Azzedin Farag Ahmed
Published: December 2023

IoTs and WSNs utilize their connectivity to enable solutions supporting a spectrum of industries in different and volatile environments. To effectively enhance the security and quality of service of networks, empirical research should take into account a variety of factors and be structured in a replicable manner. This will not only ensure scalability but also enable verification of conclusions, leading to more constructive outcomes. Cooja offers limited performance analysis capabilities of simulations, which are often extracted and calculated manually. In this paper, we introduce a framework and a toolkit that enable researchers to conduct structured and conclusive experiments considering different factors and metrics, experiment design to results analysis. Besides, this tool summarizes multiple network metrics and allows multiple scenarios. As proof of concept, this paper studies the flooding attacks on IoT and illustrates their impact on the network, leveraging the proposed framework and tools.
Rational arithmetic with a round-off
Authors: Varin Victor Petrovich
Published: December 2023

Computations on a computer with a floating point arithmetic are always approximate. Conversely, computations with the rational arithmetic (in CAS, for example) are always absolutely exact and reproducible both on other computers and (theoretically) by hand. Consequently, these computations can be demonstrative in a sense that a proof obtained with their help is no different from a traditional one (computer assisted proof). However, usually such computations are impossible in a sufficiently complicated problem due to restricted resources of memory and time. We propose a mechanism of rounding off rational numbers in computations with rational arithmetic, which solves this problem, i.e., computations can still be demonstrative but do not require unbounded resources. We give some examples of implementation of standard numerical algorithms with this arithmetic. The results have applications to analytical number theory.
Robust Posegraph Optimization Using Proximity Points
Authors: Tazaki Yuichi , Wada Kotaro , Nagano Hikaru , Yokokohji Yasuyoshi
Published: December 2023

This paper proposes a robust posegraph optimization (PGO) method for posegraphs with keypoints. In the conventional PGO formulation, a loop constraint is defined between a pair of nodes, whereas in the proposed method, it is defined between a pair of keypoints. In this manner, robust PGO based on switch variables can be realized in a more fine-grained manner. Loop constraint is defined based on the unique geometric property of proximity point, and implemented as a new edge type of the g2o solver. The proposed method is compared with other robust PGO methods using real world data recorded in Nakanoshima Robot Challenge 2021.
Application of Object Grasping Using Dual-Arm Autonomous Mobile Robot—Path Planning by Spline Curve and Object Recognition by YOLO—
Authors: Mukai Naoya , Suzuki Masato , Takahashi Tomokazu , Mae Yasushi , Arai Yasuhiko , Aoyagi Seiji
Published: December 2023

In the trash-collection challenge of the Nakanoshima Robot Challenge, an autonomous robot must collect trash (bottles, cans, and bentos) scattered in a defined area within a time limit. A method for collecting the trash is to use machine learning to recognize the objects, move to the target location, and grasp the objects. An autonomous robot can achieve the target position and posture by rotating on the spot at the starting point, moving in a straight line, and rotating on the spot at the destination, but the rotation requires stopping and starting. To achieve faster movement, we implemented a smooth movement approach without sequential stops using a spline curve. When using the training data previously generated by the authors in their laboratory for object recognition, the robot could not correctly recognize objects in the environment of the robot competition, where strong sunlight shines through glass, because of the varying brightness and darkness. To solve this problem, we added our newly generated training data to YOLO, an image-recognition algorithm based on deep learning, and performed machine learning to achieve object recognition under various conditions.
Simplified System Integration of Robust Mobile Robot for Initial Pose Estimation for the Nakanoshima Robot Challenge
Authors: Umetani Tomohiro , Takeda Seo , Yamamoto Ryusei , Shirakata Yuki
Published: December 2023

This paper describes a study of the simple system integration of a mobile robot in the Nakanoshima Robot Challenge 2022. To improve the operability of the robot at the start of its journey, we studied the solution to the problem of initial localization during the experimental run and the setting of virtual obstacles on the map to be used by the mobile robot. This method reduces the amount of time and manual operation required to estimate the initial position and orientation of a mobile robot in mobile robot experiments. In this study, a mobile robot is implemented using open-source products such as robot operating system (ROS) and i-Cart mini. Experimental runs in the Extra Challenge of the Nakanoshima Robot Challenge 2022 demonstrate the feasibility of the method.
Navit(oo)n: Open Source Mobile Robot Project for Nakanoshima Robot Challenge
Authors: Hara Shunya , Shimizu Toshihiko , Ozawa Masayoshi , Sakai Masahiko , Oyama Tadahiro , Samuel Amar Julien
Published: December 2023

Recently, the legislation regarding autonomous mobile robots for outdoor pedestrian areas have been advancing, leading to increased expectations for task automation such as transportation and cleaning. Outdoor environments like parks, where vehicles cannot enter, present many three-dimensional terrains such as stairs and inclined surfaces, causing difficulty in achieving accurate environment recognition and autonomous movement. Furthermore, robots that navigate pedestrian walkways must be smaller and lighter than cars and also have a robust system capable of traversing steps and uneven surfaces and withstanding rainy weather. Currently, robots designed for paved roads are commercially available; however, robots capable of navigating park walkways are still in the research and development stage. Therefore, to accelerate the research and development of outdoor autonomous mobile robots, this study proposes the Navit(oo)n platform, designed for use in outdoor environments. This robot can be manufactured using easily obtainable parts, and all CAD data, circuit design data, and autonomous movement software are provided as open source. This paper introduces an overview of Navit(oo)n that successfully completed the course and achieved all tasks in the recent Nakanoshima Robot Challenge.
Learning Variable Admittance Control for Human-Robot Collaborative Manipulation
Authors: Yamawaki Tasuku , Tran Liem Duc , Yashima Masahito
Published: December 2023

Human-robot collaboration has garnered significant attention in the manufacturing industry due to its potential for optimizing the strengths of both human operators and robots. In this study, we present a novel variable admittance control method based on iterative learning for collaborative manipulation, aiming to enhance operational performance. This proposed method enables the adjustment of admittance to meet task requirements without the need for heuristic designs of admittance modulation strategies. Furthermore, the incorporation of dynamic time warping in human operational detection assists in mitigating the learning performance decline caused by fluctuations in human operations. To validate the effectiveness of our approach, we conducted extensive experiments. The results of these experiments highlight that the proposed method enhances human-robot collaborative manipulation performance compared to conventional methods. This approach also exhibits the potential for addressing complex tasks that are typically influenced by diverse human factors, including skill level and intention.
An Inchworm Robot with Self-Healing Ability Using SMA Actuators
Authors: Fukuchi Haruya , Sawada Hideyuki
Published: December 2023

In this paper, we propose an inchworm-type soft robot using a self-healing gel as its body and shape-memory alloy (SMA) wires as its actuators. To realize inchworm-like locomotion, two coiled SMA wires are placed in parallel in the gel-fabricated body. The bottom-side wire and the upper-side wire reciprocally bend by applying electric current to the actuators. To realize the self-restoration automatically, the robot consists of a self-healing body equipped with magnets. The paper introduces the structure of the inchworm-shaped robot with its inchworm-like locomotion performance, together with the self-healing function.
How the KOB SIA case altered the Member States’ margin of appreciation: with particular attention to the judgment’s possibly consistent characteristics and the relevant provisions of Directive 123/2006
Authors: Korom Ágoston
Published: December 2023

Several studies and scientific workshops have considered the member states’ rules – within the framework of EU law – on the ownership and use of agricultural and forest property, considering that this area is significant not only for the member states that acceded after 2004, such as Hungary but also for the founding members. These examinations have focused on the public interests acknowledged by the Court of Justice of the European Union (CJEU), such as the preservation of the rural population, the promotion of small- and middle-sized, livable properties, and the easing of speculative pressure on the land market, which should be achieved in practice without compromising EU law – especially its fundamental freedoms. This characteristic of the CJEU’s relevant case law primarily led to the application of the free movement of capital; nevertheless, the CJEU’s judgment in the KOB Sia case resulted in a significant change in this area, the main subject of the current examination. This article will consider how the CJEU was altered. Moreover, we examine whether this change could be consistent. We find that the judgments referred by the CJEU in the KOB  Sia case and Directive 123/2006's relevant provisions can serve as a starting point in deciding how the member states' margin of appreciation was altered.
On the amplitude of vibrations of atoms of components of hard alloys under aerodynamic influence
Authors: Ivanova L. V.
Published: December 2023

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About solid solutions of alloys
Authors: Marukovich E. I. , Stetsenko V. Yu. , Stetsenko A. V.
Published: December 2023

It is shown that the open pores of the crystal lattices of iron, manganese, titanium, cobalt cannot contain hydrogen, oxygen, nitrogen and carbon atoms. In solid solutions of alloys, hydrogen and oxygen atoms are present in the adsorbed state. Nitrogen atoms are mainly included in metal nitrides. Carbon atoms are found in elementary graphite nanocrystals. In solid solutions of alloys consisting of metals, their atoms are part of nanocrystals. They mainly consist of metal alloys. The formation of solid solutions of alloys is a nanostructural process.
The experience of producing low‑carbon steel with low silicon content of grade Sv‑08A
Authors: Morozov V. O. , Konovalenko S. V. , Kovalev A. A. , Derevyanko G. V. , Mitrichenko K. N. , Shatovsky A. V.
Published: December 2023

Current paper examines the problem of low‑carbon steel producing with low silicon content, which is associated with the formation of sub‑surface bubbles during crystallization. The work results are presented.
Spatial Correlations between the Terrain Features, Gravitational Field and Seismic Velocity Anomalies in the Central Kamchatka Region
Authors: Esin E.I. , Vasilevskiy A.N. , Bushenkova N.A.
Published: December 2023

––Different approaches to tectonic zoning and different types (complexes) of used data, on the basis of which the zoning is performed, are the plurality of tectonic schemes of Kamchatka and the Kamchatka region previously obtained by different authors. In this work, a joint analysis of gravity field anomalies, gravity field and relief transforms, magnetic field and modern seismotomographic models of velocity anomalies was used to study spatial relationships of tectonic manifestations of geological processes. As a result of this study, a linear-block type tectonic scheme was constructed. The obtained linear structural elements are in good agreement with the data of potential fields, seismic constructions and previously published materials. The productivity of the presented method of complex analysis of geophysical fields for revealing their spatial relations and block structures of the environment is shown. The analysis outcomes can be used to establish spatial constraints for gravity field sources when solving inverse problems, potential field separation problems and their detailed geological interpretation.