bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical Evaluation of Cerebrospinal Fluid p217tau and Neurofilament Light Chain Levels in Patients with Alzheimer’s Disease or Other Neurological Diseases
Authors: Kawarabayashi Takeshi , Nakamura Takumi , Miyashita Kazuya , Segawa Tatsuya , Fukamachi Isamu , Sugawara Takashi , Oka Hironori , Ishizawa Kunihiko , Amari Masakuni , Kasahara Hiroo , Makioka Kouki , Ikeda Yoshio , Takatama Masamitsu , Shoji Mikio
Published: November 2023

Background: The cerebrospinal fluid (CSF) levels of tau phosphorylated at threonine 217 (p217tau) or 181 (p181tau), and neurofilament light chain (NfL) are definite biomarkers of tauopathy and neurodegeneration in Alzheimer’s disease (AD). Objective: To validate their utility in excluding other neurological diseases and age-related changes in clinical settings. Methods: We developed monoclonal antibodies against p217tau and NfL, established novel ELISAs, and analyzed 170 CSF samples from patients with AD or other neurological diseases. Results: In AD, p217tau is a more specific and abundant CSF component than p181tau. However, CSF NfL levels increase age-dependently and to a greater extent in central and peripheral nervous diseases than in AD. Conclusions: CSF p217tau correlates better with AD neurodegeneration than other tau-related biomarkers and the major phosphorylated tau species. The clinical usage of NfL as a neurodegeneration biomarker in AD requires exclusion of various central and peripheral neurological diseases.
Evaluation of Cognitive and Physical Function Among Older Adults by Their Physical Activity: A Cross-Sectional Kasama Study, Japan
Authors: Yoon Jieun , Sasaki Kazunori , Tateoka Korin , Arai Tetsuaki , Isoda Hiroko , Okura Tomohiro
Published: November 2023

Background: The amyloid-β1-42 (Aβ42) level is a biomarker that is widely used to evaluate individual cognitive dysfunction early in neurodegenerative diseases, as well as differentiate between normal cognitive function, mild cognitive impairment, Alzheimer’s disease, and vascular cognitive impairment. Objective: Our cross-sectional study evaluated the association between daily exercise and physical and cognitive function and Aβ42 levels among a subsample of 325 older adults from the Kasama Study. Methods: Participants (age: 74.5 [range 65–90] years) were classified into three exercise groups: the dual-task (DEG, n = 128), single-task (SEG, n = 122), and non-exercise (NEG, n = 75) groups. The main outcomes were the plasma Aβ42 levels and the scores of the five cognitive (5-COG) tests and five cognition-related physical function (5-PHYS) tests. Results: The Aβ42 levels and 5-COG and 5-PHYS scores were higher in the SEG and DEG than in the NEG. The Aβ42 levels were higher in the DEG than in the NEG (p = 0.008). Conclusions: Physical activities such as regular exercise may benefit older adults, improving their cognitive and physical function.
How Can We Use Mathematical Modeling of Amyloid-β in Alzheimer’s Disease Research and Clinical Practices?
Authors: Chu Chenyin , Low Yi Ling Clare , Ma Liwei , Wang Yihan , Cox Timothy , Doré Vincent , Masters Colin L. , Goudey Benjamin , Jin Liang , Pan Yijun
Published: November 2023

The accumulation of amyloid-β (Aβ) plaques in the brain is considered a hallmark of Alzheimer’s disease (AD). Mathematical modeling, capable of predicting the motion and accumulation of Aβ, has obtained increasing interest as a potential alternative to aid the diagnosis of AD and predict disease prognosis. These mathematical models have provided insights into the pathogenesis and progression of AD that are difficult to obtain through experimental studies alone. Mathematical modeling can also simulate the effects of therapeutics on brain Aβ levels, thereby holding potential for drug efficacy simulation and the optimization of personalized treatment approaches. In this review, we provide an overview of the mathematical models that have been used to simulate brain levels of Aβ (oligomers, protofibrils, and/or plaques). We classify the models into five categories: the general ordinary differential equation models, the general partial differential equation models, the network models, the linear optimal ordinary differential equation models, and the modified partial differential equation models (i.e., Smoluchowski equation models). The assumptions, advantages and limitations of these models are discussed. Given the popularity of using the Smoluchowski equation models to simulate brain levels of Aβ, our review summarizes the history and major advancements in these models (e.g., their application to predict the onset of AD and their combined use with network models). This review is intended to bring mathematical modeling to the attention of more scientists and clinical researchers working on AD to promote cross-disciplinary research.
Neural metamodels and transfer learning for induction heating processes (TEAM 36 problem)
Authors: Di Barba Paolo , Dughiero Fabrizio , Forzan Michele , Lowther David A. , Marconi Antonio , Mognaschi Maria Evelina , Sykulski Jan K.
Published: November 2023

The authors explore the possibility of applying a convolutional Naeural Network (CNN) to the solution of coupled electromagnetic and thermal problem, focusing on the classical problem of induction heating systems, traditionally solved by resorting to Finite Element (FE) models. In fact, FE modelling is widely used in the design of induction heating systems due its accuracy, even if the solution of a coupled nonlinear problem is expensive in terms of computational time and hardware resources, notably in 3D analysis. A model based on CNN could be an interesting alternative; in fact, CNN is a learning model selected for its excellent ability to converge, even when trained with a limited dataset. CNNs are able to treat images as input and they are used here as follows: given a temperature map in the workpiece, identify the corresponding vector of current, frequency and process heating time; this mapping is a model of the inverse induction heating problem. Specifically, we consider as an example the induction heating of a cylindrical steel billet, made of C45 steel, placed in a solenoidal inductor coil exhibiting the same axial length of the billet (TEAM 36 problem). A thorough heating process is usually applied before hot working of the billet, as in an extrusion process, but this methodology can be applied also in the design of induction hardening processes. First, a CNN has been trained from scratch by means of a dataset of FE solutions of coupled electromagnetic and thermal problems. For the sake of a comparison, a transfer learning technique is applied using GoogLeNet, i.e. a Deep Convolutional Neural Network able to classify images: starting from the pre-trained GoogLeNet, its training has been subsequently refined with the dataset of solutions from FE analyses. When the training dataset contains a limited number of samples, GoogleNet shows good accuracy in predicting the process parameters; in the case of a high number of samples in the training set, namely beyond a threshold like e.g. 1500, both CNNs show good accuracy of the result.
DSLR–: A low-overhead data structure layout randomization for defending data-oriented programming
Authors: Wei Jin , Chen Ping
Published: November 2023

By developing a Turing-complete non-control data attack to bypass existing defenses against control flow attacks, Data-Oriented Programming (DOP) has gained significant attention from researchers in recent years. While several defense techniques have been proposed to mitigate DOP attacks, they often introduce substantial overhead due to the blind protection of a large range of data objects. To address this issue, we focus on selecting and protecting the specific target data that are of interest to DOP attackers, rather than securing the entire non-control data in the program. In this regard, we perform static analysis on 20 real-world applications and identify the target data, verifying that they constitute only a small percentage of the overall program, averaging around 3%. Additionally, we propose a semi-automated tool to analyze how to chain operations on the target data in these 20 applications to achieve Turing-complete attacks. Furthermore, we introduce DSLR-: a low-overhead Data Structure Layout Randomization (DSLR) method, which modifies the existing DSLR technique to only randomize the selected target data for DOP. Experimental results demonstrate that DSLR- effectively mitigates DOP attacks, reducing performance overhead by 71.2% and memory overhead by 82.5% compared to the original DSLR technique.
Frailty and Associated Environmental Factors Only Have Small Effects on Age of Onset in Huntington’s Disease
Authors: Jeyakumar Niroshan , Hilmer Sarah N. , Teixeira-Pinto Armando , Loy Clement T.
Published: November 2023

Background: Over one third of age of onset variation in Huntington’s disease is unexplained by CAG repeat length. In Alzheimer’s disease, frailty partly modulates the relationship between neuropathology and dementia. Objective: We investigated whether a multi-domain frailty index, reflecting non-genetic factors in Huntington’s disease, similarly modulates the relationship between CAG repeat length and age of onset. Methods: We created a frailty index assessing comorbidities, substance abuse, polypharmacy, and education. We applied multiple linear regression models to 2,741 subjects with manifest Huntington’s disease from the Enroll-HD cohort study, including 729 subjects with late-onset (post-60 years) disease, using frailty index or constituent item scores and CAG repeat length as independent variables. We used actual and “residual” ages of onset (difference between actual and CAG-based predicted onset) as dependent variables, the latter offsetting the increased time available to accumulate comorbidities in older subjects. Results: Higher frailty index scores were associated with significantly lower residual ages of onset in the late-onset subgroup (p = 0.03), though the effect was small (R2 = 0.27 with frailty as a predictor vs. 0.26 without). Number of comorbidities was also associated with significantly lower residual ages of onset in the late-onset subgroup (p = 0.04). Drug abuse and smoking were associated with significantly earlier ages of onset in the whole cohort (p < 0.01, p = 0.02) and late-onset subgroup (p < 0.01, p = 0.03). Conclusions: The impact of non-genetic factors on age of onset, assessed using a frailty index or separately, in Huntington’s disease is limited.
Pricing and coordination in a dual-channel supply chain considering internet celebrity’s sales effort and personal influence
Authors: Chen Tianwen , Zhou Ronghu , Chen Haoliang , Liu Changqing
Published: November 2023

The main purpose of this paper is to study the coordination, price and sales effort decisions of a dual channel supply chain under live streaming commerce mode. In nowadays’ e-commerce age, more and more people have interest in live streaming especially after the outbreak of COVID-19, but the research on live streaming supply chain is lacking. To fill this gap, a supply chain composed of a manufacturer and an internet celebrity is established, in which the demand is affected by the internet celebrity’s sales effort and personal influence. Considering different power structures of the supply chain, price and sales effort decisions are studied in four models: Nash, manufacturer dominant (MD), internet celebrity dominant (KD) and cooperative game models. Subsequently, the feasible region of bargaining game is discussed in terms to share the extra profits and coordinate the supply chain. The manufacturer and the internet celebrity can be coordinated through bargaining problem in the cooperation model, and the extra profits sharing ratio is depend on each other’s bargaining power. Numerical analysis is further provided to test the propositions and show the impacts of market share rate, internet celebrity’s commission rate and personal influence on supply chain’s performance.
TOPSIS method based on connection number of set pair analysis subject to bipolar fuzzy environment with application in decision making
Authors: Arif Waqar , Khan Waheed Ahmad , Khan Asghar , Mahmood Tariq , Rashmanlou Hossein
Published: November 2023

In this manuscript, we develop TOPSIS (Technique for order of preference by similarity to ideal solution) method in the setting of bipolar fuzzy environment which has the ability to deal the data while keeping in view the positive and negative aspects. By using bipolar fuzzy sets, we establish the novel concept of rating the numerous preferences of any object described through the connection number(CN) of set pair analysis(SPA). In this regard, we extend the TOPSIS method based on the connection number(CN) of set pair analysis(SPA) in the frame of bipolar fuzzy sets. For the sake of verification, effectiveness and superiority of our method, we conduct the comparative study of some real life problem related to decision making theory. Moreover, we observe that our proposed method also fulfills the existing test criterions.
Design of data center system for immersed liquid-cooled computer room with improved deep learning algorithm
Authors: Lai Yibo , Fan Libo , Sun Zhiqing , Fang Xiang , Shen Bin , Tu Yongwei
Published: November 2023

Aiming at the problems of low convective heat transfer coefficient and high energy consumption in the air-cooled data center of immersed liquid cooling, an improved deep learning algorithm is proposed for the data center system of immersed liquid cooling equipment room. By improving the design of the immersed liquid cooling system, heat exchange is carried out between the immersed liquid cooling system and heating components such as the central processing unit of the server. The insulation coolant and cooling water achieve server heat dissipation through energy exchange, achieving data management of the immersed liquid cooling room. The proposed algorithm improves data management efficiency while ensuring computational accuracy by conducting in-depth training and learning on the obtained immersed liquid cooling data, thus achieving the management of data in the immersed liquid cooling room. Through experiments, it has been proven that the immersed liquid cooling system in this study has high data management efficiency and low error, and can maintain server memory heat below 37 ° C, with a research accuracy of up to 92%.
Axiomatic representations for nonadditivity and nonmodularity indices: describing interactions of fuzzy measures
Authors: Wu Jian-Zhang , Zhang Xue , Beliakov Gleb
Published: November 2023

Both the nonadditivity index and nonmodularity index have emerged as valuable indicators for characterizing the interaction phenomenon within the realm of fuzzy measures. The axiomatic representation plays a crucial role in distinguishing and elucidating the relationship and distinctions between these two interaction indices. In this paper, we employ a set of fundamental and intuitive properties related to interactions, such as equality, additivity, maximality, and minimality, to establish a comprehensive axiom system that facilitates a clear comprehension of the interaction indices. To clarify the impact of new elements’ participation on the type and density of interactions within an initial coalition, we investigate and confirm the existence of proportional and linear effects in relation to null and dummy partnerships, specifically concerning the nonadditivity and nonmodularity indices. Furthermore, we propose the concept of the t-interaction index to depict a finer granularity for the interaction situations within a coalition, which involves subsets at different levels and takes the nonadditivity index and nonmodularity index as special cases. Finally, we establish and discuss the axiomatic theorems and empirical examples of this refined interaction index. In summary, the contributions of this work shed light on the axiomatic characteristics of the t-interaction indices, making it a useful reference for comprehending and selecting appropriate indices within this category of interactions.
Prediction of stock market using grey wolf optimization with hybrid convolutional neural network and bi-directional long-short term memory model
Authors: Harikumar Yedhu , Muthumeenakshi M.
Published: November 2023

The Indian stock market is a dynamic, complicated system that is impacted by many different variables, making it difficult to anticipate its future. The utilization of deep learning and optimization techniques to forecast stock market movements has gained popularity in recent years. To foresee the Indian stock market, an innovative approach is presented in this study that combines the Grey Wolf Optimization algorithm with a hybrid Convolutional Neural Network (CNN) and Bi-Directional Long-Short Term Memory (Bi-LSTM) framework. The stock market information is first pre-processed utilizing a CNN to extract pertinent features. The Bi-LSTM system, that is intended to capture the long-term dependencies and temporal correlations of the stock market statistics, is then fed the CNN’s outcome. The model parameters are then optimized utilizing the Grey Wolf Optimization (GWO) technique, which also increases forecasting accuracy. The findings demonstrate that, in terms of forecasting accuracy, the suggested method outperforms a number of contemporary methods, including conventional time series models, neural networks, and evolutionary algorithms. Thus, the suggested methodology provides an effective way to forecast the Indian stock market by combining deep learning and optimization approaches.
Research on environmental reliability test and assessment of AI devices under vibration stress1
Authors: Li Xingge , Zhang Shufeng , Chen Xun , Wang Yashun , Fan Zhengwei
Published: November 2023

The proliferation of artificial intelligence (AI) devices has generated an increasing demand for reliability in their utilization. Nevertheless, the significant concern persists regarding the absence of suitable assessment and testing techniques to evaluate the performance of these intelligent systems in real-world conditions. In response to these issues, this paper conducts research on the reliability testing and assessment of AI visual perception systems under vibration stress. The paper introduces the working mechanism of the visual perception system and the various testing methods for AI devices. Based on this, a reliability assessment method for intelligent devices is proposed, which uses the Fréchet distance as the measurement function and environmental adaptability as the reliability metric. Additionally, a vibration test platform for the visual perception system is established, which offers a cost-effective and reliable solution to the high cost issue of field testing for AI devices. Finally, the reliability level of the visual perception system under various vibration conditions is tested through vibration testing. The research findings indicate that the reliability of AI models decreases as the degradation caused by vibration increases, following a normal distribution.
Automatic verification method of relay protection equipment setting value combining cell image gray enhancement and AI recognition
Authors: Sun Xianshan , Sheng Yuefeng , Mao Hongfei , Qian Qingfeng , Cai Qingnan
Published: November 2023

In order to solve the problems of tedious, insufficient manpower, low efficiency, and easy to cause human errors in the verification of relay protection equipment settings with the development of the power grid, an automatic verification method of relay protection equipment settings combining cell image gray enhancement and AI recognition is studied. In this method, Gaussian mixture and particle swarm algorithm are used to enhance the gray level of the original image captured, and the binary method is used to further denoise the image; The histogram is used to segment the cells in the denoised constant value image one by one; The OCR technology in AI technology uses the maximum width backtracking segmentation algorithm to segment a coherent text in a cell into multiple single words, and collects the 13 dimensional characteristics of the text to be detected to compare with the text in the database. The text with the smallest error is the detected text, which completes the text extraction in the cell; Store the extracted text data in the database, check the data in the notification constant value sheet and the device constant value sheet, and give an abnormal prompt of different data. The experimental results show that the image pre processed by this method is clear, the fixed value single cell segmentation is accurate, and the OCR text extraction efficiency is high. Through a large number of data experiments, the final verification accuracy can reach 99.8%.
Gestures recognition based on multimodal fusion by using 3D CNNs
Authors: Zhu Yimin , Gao Qing , Shi Hongyan , Liu Jinguo
Published: November 2023

Gestures have long been recognized as an interaction technique that can provide a more natural, creative, and intuitive way to communicate with computers. However, some existing difficulties include the high probability that the same type of movement done at different speeds will be recognized as a different category of movement; cluttered, occluded, and low-resolution backgrounds; and the near-impossibility of fusing different types of features. To this end, we propose a novel framework for integrating different scales of RGB and motion skeletons to obtain higher recognition accuracy using multiple features. Specifically, we provide a network architecture that combines a three-dimensional convolutional neural network (3DCNN) and post-fusion to better embed different features. Also, we combine RGB and motion skeleton information at different scales to mitigate speed and background issues. Experiments on several gesture recognition public datasets show desirable results, validating the superiority of the proposed gesture recognition method. Finally, we do a human-computer interaction experiment to prove its practicality.
Construction of real-time sharing model of energy big data based on end cloud collaboration technology
Authors: Wang Feng
Published: November 2023

A real-time sharing model of energy big data based on end cloud collaboration technology is built to safely and efficiently share energy big data in all fields. Through the collaboration between the client layer and the cloud platform layer in the end cloud collaboration module, combined with the vertical federation learning algorithm and the homomorphic encryption algorithm, the energy big data knowledge in various fields is extracted and encrypted, and the encrypted knowledge is stored in the cloud platform as shared data. After the blockchain module combines the smart contract identification coding and parsing of such shared ciphertext, the ciphertext key is provided to the data user, and the shared energy big data plaintext is obtained after decryption, so as to realize the real-time security sharing of energy big data. According to the result analysis, the model performs well in data knowledge extraction and encryption, and has a good effect in ensuring the security and reliability of energy big data sharing. At the same time, the identification coding and analysis time of shared data knowledge is relatively short, making energy big data can be shared in real time. These results demonstrate the potential and feasibility of the model in facilitating big data sharing in the energy sector.
Outlier detection using conditional information entropy and rough set theory
Authors: Li Zhaowen , Wei Shengxue , Liu Suping
Published: November 2023

Outlier detection is critically important in the field of data mining. Real-world data have the impreciseness and ambiguity which can be handled by means of rough set theory. Information entropy is an effective way to measure the uncertainty in an information system. Most outlier detection methods may be called unsupervised outlier detection because they are only dealt with unlabeled data. When sufficient labeled data are available, these methods are used in a decision information system, which means that the decision attribute is discarded. Thus, these methods maybe not right for outlier detection in a a decision information system. This paper proposes supervised outlier detection using conditional information entropy and rough set theory. Firstly, conditional information entropy in a decision information system based on rough set theory is calculated, which provides a more comprehensive measure of uncertainty. Then, the relative entropy and relative cardinality are put forward. Next, the degree of outlierness and weight function are presented to find outlier factors. Finally, a conditional information entropy-based outlier detection algorithm is given. The performance of the given algorithm is evaluated and compared with the existing outlier detection algorithms such as LOF, KNN, Forest, SVM, IE, and ECOD. Twelve data sets have been taken from UCI to prove its efficiency and performance. For example, the AUC value of CIE algorithm in the Hayes data set is 0.949, and the AUC values of LOF, KNN, SVM, Forest, IE and ECOD algorithms in the Hayes data set are 0.647, 0.572, 0.680, 0.676, 0.928 and 0.667, respectively. The advantage of the proposed outlier detection method is that it fully utilizes the decision information.
Proportional intuitionistic fuzzy AHP method: Wind turbine selection application
Authors: Kahraman Cengiz
Published: November 2023

The direct assignment of decimal numbers for membership and non-membership degrees of an element in intuitionistic fuzzy sets is not practical. The problem is that the expert cannot assign the same values to the degrees of membership, non-membership and hesitancy in decimal numbers for the same proposition in every attempt. Rather than the former, the assignment of proportional relationships between membership and non-membership degrees is more appropriate. We propose proportion-based models for intuitionistic fuzzy sets that include arithmetic and aggregation operators. Proportional intuitionistic fuzzy (PIF) sets require only the proportion relations between an intuitionistic fuzzy set’s parameters. These models will make it easier to define intuitionistic fuzzy sets with more accurate data that better represents expert judgments. We transform AHP method, one of the traditional multi-criteria decision making methods, to PIF AHP using PIF sets. We compare the proposed PIF AHP method by interval-valued intuitionistic fuzzy AHP method existing in the literature. A wind turbine selection problem is handled to show the validity of the proposed PIF AHP method.
RETRACTED: A novel technological system for enhancing the learning capabilities of intellectually challenged children using electrical stimulations
Authors: Paul Milner , Adhikari Shuma , Singh Loitongbam Surajkumar , Parekkattil Adarsh V. , Athappilly George
Published: November 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Remote Delivery of Allied Health Therapies in Parkinson’s Disease
Authors: Duncan Ryan P. , Earhart Gammon M.
Published: November 2023

Remote delivery of allied health therapies has long been possible, but adoption has been limited in some disciplines until relatively recently. The COVID-19 pandemic drove dramatic increases in use of remote delivery within allied health. This review summarizes the latest evidence on remotely-delivered physical therapy, occupational therapy, and speech therapy and discusses associated challenges and opportunities.
Delayed cord clamping versus cord milking in vigorous neonates ≥35 weeks gestation born via cesarean: A Randomized clinical trial
Authors: Murali Mithuna , Sethuraman Giridhar , Vasudevan Jaishree , Umadevi L. , Devi Usha
Published: November 2023

BACKGROUND:

Delayed cord clamping (DCC) is the recommended strategy in neonates not requiring resuscitation, but umbilical cord milking (UCM) can also be used in term babies. DCC has been found to offer advantages more than just placental transfusion.

OBJECTIVE:

To compare the neonatal outcomes of DCC and UCM at birth in vigorous neonates ≥35 weeks born via cesarean section.

METHODS:

We included all vigorous neonates born ≥35 weeks of gestation through the cesarean section in this open-label randomized controlled trial. They were randomized into Group-A (DCC-cord was clamped 60 s after birth) or Group B(UCM). For neonates in Group B, the intact cord was milked at 25 cm from the stump 3 times towards the neonate and then clamped. The primary outcome was hematocrit at 72 h of life. Secondary outcomes were serum ferritin between 6 and 10 weeks of life, serum bilirubin at 72 h of life, need and duration of phototherapy, respiratory distress, hypoglycemia, hypotension, and sepsis.

RESULTS:

Baseline characteristics were similar in both the groups. The mean hematocrit at 72 h was more in the DCC group compared to the UCM group [(55.60±4.50) vs (53.89±4.44), MD (95% CI) = 1.71 (0.26, 3.16); p = 0.021]. There was no significant difference in median serum ferritin between the groups [102.88(84.67–173.24) vs 137.93(85.15–230.40); p = 0.173]. There was no significant difference in clinical outcomes.

CONCLUSION:

In neonates born via cesarean section, DCC resulted in improved hematocrit levels by 72 hours compared to UCM. DCC results in better placental transfusion.
Neural mechanosensitivity findings in patients with adhesive capsulitis
Authors: Matsui Kazuhisa , Suzuki Risako , Nakai Keiko , Kuwashima Runa , Tachibana Takashi
Published: November 2023

BACKGOURND:

The pathophysiology of adhesive capsulitis may be associated with increased neural mechanosensitivity in upper limb neurodynamic test.

OBJECTIVE:

To investigate the findings of neurodynamic assessment in patients with more than four month history of adhesive capsulitis.

METHODS:

Thirty-five patients with more than four month history of adhesive capsulitis were participated in this study. A physiotherapist performed the Upper Limb Neurodynamic test 1 procedure on the participant’s upper limb. Elbow extension range of motion at the end of the Upper Limb Neurodynamic test 1 was compared with the participant’s elbow extension at the end of Upper Limb Neurodynamic test 1 performed on the opposite upper limb and to elbow extension on the symptomatic side performed with the arm by the side.

RESULTS:

The intensity of pain in Upper Limb Neurodynamic test 1 increased with lateral flexion of the neck to the unaffected side and eased with lateral flexion to the affected side in all participants. A marked restriction of the elbow passive extension range of motion in Upper Limb Neurodynamic test 1 on the affected side (–54.6±17.8°) compared to the unaffected side was found (–7.3±10.7°) ( p < 0.001).

CONCLUSIONS:

Restriction of elbow passive extension range of motion at the end of the Upper Limb Neurodynamic 1 test reproduced patients’ familiar adhesive capsulitis associated pain and the pain changed with structural differentiation using cervical lateral flexion. Neurodynamic assessment may need to be considered to assess neural mechanosensitivity in patients with adhesive capsulitis.
Popularisation of Bibliographic Products as an Important Component of Advertising and Information Activities of Libraries
Authors: Antoniuk Oksana
Published: November 2023

The purpose of the research is to analyse effective methods and tools for promoting bibliographic products by leveraging the Internet capabilities within the context of libraries, particularly by examining existing practices and innovative strategies in the online space to enhance the accessibility of bibliographic resources. Research methodology. To study this problem, general scientific methods (analysis, synthesis, deduction, and induction) were used in relation to the use of marketing tools, social communications, Internet opportunities for the exchange and distribution of the resources bibliographic products in the modern library space of Ukraine. As a result of applying these methods, we have gained a deep understanding and analysis of the problems and opportunities in using marketing tools, social communications, and Internet capabilities for the exchange and dissemination of bibliographic production in modern libraries in Ukraine. The scientific novelty of the study arises from the fact that the subject of bibliographic production popularisation in Ukrainian libraries remains insufficiently developed, particularly in terms of promoting publications by means of the Internet, necessitating a comprehensive approach to studying all possibilities and identifying pathways for the development of library activity. Such a comprehensive approach will allow us to identify optimal pathways and development strategies for libraries in the digital age, which, in turn, will contribute to improving access to cultural heritage and information for the public, increasing information literacy, and supporting libraries as crucial agents of education and cultural development in society. Conclusions. The research examines the effectiveness of libraries’ promotional and informational activities in popularising bibliographic production through extensive Internet resources. Special attention is paid to primary tools for promoting bibliographic production in social media and incorporating crowdfunding instruments.
Keywords: bibliographic products, advertising and information activities, library marketing, popularisation, Internet marketing, blog, book trailer, social media, SMM (Social Media Marketing), digital marketing, reputation marketing, event marketing, guerrilla marketing, crowdfunding.
Digitalisation of Archive Funds, Museum and Library Collections as a Factor of the Preservation of the National Cultural Heritage of Ukraine
Authors: Tur Oksana , Shabunina Viktoriia , Sarancha Viktor
Published: November 2023

The purpose of the article is to analyse the problems of protection and rescue of cultural objects, in particular, to determine the role of digitisation of archival funds, museum and library collections as a factor of the preservation of national cultural heritage. The methodological basis of the research consists of general scientific and special methods of studying the problem, the use of which made it possible to achieve the goal. The applied methods made it possible to outline the problems of protection and rescue of cultural objects, in particular, to determine the role of digitisation of archival funds, museum and library collections. The principle of historicism, which involves considering any phenomenon in its self-development under the influence of various factors, became the main one. The historical-systemic method is aimed at the analysis of society as a whole and transformations within it, caused by changes in the political, cultural and informational and communication space. Quantitative methods were used to process the results of analytical studies, as well as to diagnose the studied phenomena, in particular, to present digitised collections in the network and rank them according to the purpose of digitisation. The scientific novelty of the work consists in the expansion of ideas about the scale of digitisation of archival funds, museum and library collections, its role in the preservation of cultural objects. Thanks to the research carried out by the authors, projects, scientific and popular scientific events are presented, the purpose of which was to discuss the problems of loss, rescue and protection of the national cultural heritage of Ukraine. The authors state that the problems of preservation of cultural values, transfer, promotion and development of cultural heritage in Ukraine are now issues of national security. Conclusions. The research have proved that the implementation of information technologies and large-scale digitization are becoming absolutely necessary for modern archives, libraries and museums, have great significance and are carried out in order to ensure accessibility, preservation and dissemination of knowledge and cultural heritage.
Keywords: digitisation, archival fund, museum and library collection, national cultural heritage.
Educational Institutions in Genealogical Studies on the History of Science and Technology
Authors: Tverytnykova Olena
Published: November 2023

The purpose of the study is to analyse the peculiarities of using the archives of research and educational institutions as an integral part of the source base of genealogical research on the history of science and technology and to identify the degree of digitalisation of archival collections. The research methodology is based on theoretical developments in history and related sciences, as well as the use of basic approaches to cognition and dialectics, the application of the principles of historical science such as objectivity, scientificity, historicism, universality, systematicity, specificity; the principle of a specific historical approach – historicism – the integrity of the source. The organic blending of general scientific and special research methods in the complex makes it possible to carry out a comprehensive analysis of the topic. The methods of generalisation, analogy, synthesis, analysis, formal logic, as well as historical and chronological, historical and comparative, historical and genetic, historical and typological methods were used in the scientific search, which contributed to obtaining new results in the study of this topic. The scientific novelty of the article is to actualise the issue of using the funds of archives of research and educational centres in conducting genealogical research on the history of science and technology. The systematisation of historiographical sources containing information of genealogical nature is proposed, their information potential is characterised. The reliability degree of the identified sources and the need to introduce new components of the source base of genealogical research on the history of science and technology are determined. The methodological foundations for reconstructing the genealogies of Ukrainian scientists on the basis of representative, diverse sources have been further developed. The necessity of digitalisation of the archival collections of scientific and educational centres, the introduction of information technologies as the main factor in improving the quality of scientific research is substantiated.
Keywords: archive, source base, genealogical research, electronic resources, information technology, librarianship, document.
Multimedia Content of the Blogosphere as a Tool for Informational Influence
Authors: Komova Maria , Primakova Dariia
Published: November 2023

The purpose of the study is to determine the resources of the information influence of the content of the blogosphere of the Internet publication "Censor.NET". To realise this goal, it is necessary to solve the following tasks: perform a thematic analysis of the multimedia content of the blogosphere; analyse the performance of content topics; establish a typology of visual materials; determine the productivity and artistic features of using different types of content visualisation. The research methodology lies in the use of general scientific methods of analysis, synthesis, logical generalisations, the application of which made it possible to establish the thematic focus, typology of visualisation of textual information, their role in the implementation of informational influence on users of the blogosphere of the Internet publication "Censor.NET". The use of synchronous slice and statistical methods made it possible to establish quantitative indicators of the leading topics of posts in the blogosphere and types of visualisation of the analysed text. The synchronous slice is formed on the basis of a sample population. Visualisation was used to present the results of the study, in particular, regarding the topic of posts in the blogosphere and the types of visualisation of the analysed text. The scientific novelty of the work consists in the synchronous monitoring of the thematic direction and forms of visualisation of the content of the online publication, which makes it possible to evaluate its possibilities of exerting an informational influence on readers. Conclusions. The content of the blogosphere on the "Censor.NET" platform is a combination of textual and visual information. The thematic structure of the blogs indicates the top problems that are related to the political, military, socio-economic conditions of life in the country caused by the Russian-Ukrainian war. The content of the blogs indicates a high level of social instability, the expectation of aggression, as well as the activities of the Ukrainian authorities in relation to today's complex challenges. The most common visualisation methods include photos, screenshots, and videos. The specificity of the multimedia content of the blog is determined by the features of the blog platform and the nature of the publications. A blog with an optimal ratio of text and visual information helps to attract a wide target audience of readers, to exert an informational and emotional influence on them.
Keywords: blog, blogosphere, thematic text structure, content visualisation, photography, video content.
Modern Concepts of Documentary and Information Science as an Educational Component of Master's Training
Authors: Matvienko Oksana , Tsyvin Mykhailo
Published: November 2023

The purpose of the work is to characterise the content, outline methodical and didactic approaches to teaching the educational component "Modern Concepts of Documentary and Information Science". The methodology of the work is based on the use of a systematic approach to the analysis of the didactic phenomenon, which is the educational component "Modern Concepts of Documentary and Information Science", the methods of analysis and synthesis made it possible to carry out a mental reconstruction of the researched object, to study its structure, to highlight the most significant features and properties, connections and relations, methods of generalisation, abstraction, and concretisation were also used. The scientific novelty consists in the formulation of the term "documentary and information science", its characteristics as a component of the educational component of the master's training "Modern Concepts of Documentary and Information Science", the outline of the content and methodological approaches in teaching the educational component, as well as the proposal of the structure of the content of the educational component "Modern Concepts of documentary and Information Science". Conclusions. "Modern Concepts of Documentary and Information Science" is an educational component of the training of those obtaining the "master's" educational and qualification level, which covers the interdisciplinary field of document and information activity, is based on the logical system of scientific knowledge created in the field of research in librarianship, bibliography, document studies, archival studies and bibliography as the sciences of the document and information cycle, their methods and means of knowledge, which are constantly developing. The purpose of the educational component is the formation of future master's students with a holistic view of the development of theories, concepts, provisions that reflect the role and place of documents and information in society, as well as the development of knowledge in the field of modern document and information sciences. In the field of professional competences, future masters develop the ability to monitor trends in the development of the subject area by analysing information flows and arrays and the ability to use knowledge of scientific principles and methods of archival science and library science in their professional activities.
Keywords: documentary and information science, documentary and information activity, master's training, educational component.
HUBUNGAN NILAI-NILAI AGAMA ISLAM DENGAN KEBIASAAN POLA HIDUP SEHAT
Authors: Laksana Sigit Dwi , Sumaryanti Lilis
Published: November 2023

Abstract: Health topic has been popular again recently, this is supported by the adaptation of new habits (new normal) that were implemented after the world was hit by pandemic. This article describes the relationship between Islamic religious values and healthy lifestyle habits originating from verses Al-Qur'an and Hadith of the Prophet Muhammad Shallallahu 'Alaihi Wasallam. The method used is library research, carried out by collecting and researching data from books or writings that are in accordance with the discussion into primary sources and secondary sources. The results of this study are based on the research of two books with the same theme, namely there is a relationship between Islamic religious values and a healthy lifestyle. This is in accordance with what has been explained by health experts and even the World Health Organization (WHO), which must balance physical (physical) health and mental (spiritual) health to carry out activities in the world. Keywords: Islamic values, Healthy Lifestyle, Health Abstrak: Topik kesehatan kembali populer akhir-akhir ini, hal ini didukung dengan adanya adaptasi kebiasaan baru (new normal) yang diterapkan pasca dunia dilanda pandemi. Penelitian ini bertujuan menguraikan hubungan nilai-nilai agama Islam dengan kebiasaan hidup sehat yang bersumber dari ayat Al-Qur'an dan Hadits Nabi Muhammad Shallallahu 'Alaihi Wasallam. Metode yang digunakan adalah penelitian kepustakaan, dilakukan dengan cara mengumpulkan dan meneliti data dari buku-buku atau tulisan yang sesuai dengan pembahasannya ke dalam sumber primer dan sumber sekunder. Hasil penelitian ini berdasarkan penelitian dua buku dengan tema yang sama yaitu ada hubungan nilai-nilai agama islam dengan pola hidup sehat. Hal ini sesuai dengan apa yang telah dijelaskan oleh para ahli kesehatan bahkan Organisasi Kesehatan Dunia (WHO) yang harus menyeimbangkan kesehatan jasmani (fisik) dan kesehatan mental (spiritual) untuk menjalankan aktivitas di dunia. Katakunci:  nilai-nilai Islam, gaya hidup sehat, kesehatan
DAMPAK PEMBINAAN AKHLAK TERHADAP SELF CONTROL REMAJA
Authors: Hafifah Wafiq , Hamdanah Hamdanah , Surawan Surawan
Published: November 2023

Abstract: The teenage phase is a process of searching for one's identity or identity, but the fact is that not all teenagers are able to exercise good self-control. One of the efforts made for teenagers to be able to control themselves is through moral development. The aim of this research is to analyze the impact of moral development on self-control in adolescents. This research uses a qualitative approach regarding the impact of moral development on adolescents in controlling themselves. The aim of this research refers to the impact of moral development on adolescent self-control. The results of the research show that there is a positive impact of moral development on adolescent self-control, namely changes in thought patterns and thought patterns, changes in principles, changes in behavior. Meanwhile, the positive impact on other people is the impact on family and society. Keywords:  Moral Development, Self Control, Youth  Abstrak: Fase remaja merupakan proses pencarian jati diri atau identitas diri, namun faktanya tidak semua remaja mampu melakukan pengendalian diri dengan baik. Salah satu upaya yang dilakukan pada remaja agar mampu mengendalikan diri adalah melalui pembinaan akhlak. Tujuan penelitian ini adalah untuk menganalisis dampak pembinaan akhlak terhadap self-control pada remaja. Penelitian ini menggunakan pendekatan kualitatif mengenai dampak perkembangan moral pada remaja dalam mengendalikan diri. Tujuan penelitian ini mengacu pada dampak perkembangan moral terhadap pengendalian diri remaja. Hasil penelitian menunjukkan adanya dampak positif dari adanya perkembangan moral terhadap pengendalian diri remaja yaitu perubahan pola pikir dan pola pikir, perubahan prinsip, perubahan perilaku. Sedangkan dampak positifnya bagi orang lain adalah dampaknya terhadap keluarga dan masyarakat. Kata Kunci: Pembinaan Akhlak, Self Control, Remaja