bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating Changes in the Serum Inflammatory Factors in Alzheimer’s Disease and Their Correlation with Cognitive Function
Authors: Hao Jing , Qiao Yuchen , Li Tingting , Yang Jianwei , Song Yang , Jia Longfei , Jia Jianping
Published: September 2021

Background: Serum levels of inflammatory factors, such as C3, C4, C-reactive protein (CRP), immunoglobulin (Ig) G, IgA, and IgM, in patients with Alzheimer’s disease (AD) and their correlation with cognitive function remain unexplored. Objective: To investigate the expression of serum inflammatory factors in patients with AD and its correlation with cognitive function. Methods: Serum levels of C3, C4, CRP, IgG, IgA, and IgM in 200 patients with AD (mild, moderate, and severe) and those in 174 normal controls were assessed. Spearman’s rank correlation analysis was used to explore the relationships among biomarker levels, cognitive function, and activities of daily living (ADL). Results: Among these inflammatory factors, C3 and CRP levels were significantly lower, and IgG and IgA levels were significantly higher in the AD group than in the control group (p < 0.05). There were no significant differences in C4 and IgM levels between the two groups (p > 0.05). In all participants, CRP level was positively correlated with the Mini-Mental State Examination and Montreal Cognitive Assessment scores (p < 0.05). In the AD group, IgA level was negatively associated with ADL scores (p < 0.05). No significant correlation was detected between the other factors and different cognitive scores (p > 0.05). Conclusion: Inflammatory factors C3, CRP, IgG, and IgA have the potential to serve as biomarkers for AD. Furthermore, serum IgA was not only correlated with AD but also with ADL. These results support the hypothesis that inflammation is involved in the occurrence and development of AD.
Identification of the Neural Circuit Underlying Episodic Memory Deficit in Amnestic Mild Cognitive Impairment via Machine Learning on Gray Matter Volume
Authors: Wang Zan , Zhang Zhengsheng , Xie Chunming , Shu Hao , Liu Duan , Zhang Zhijun
Published: September 2021

Based on whole-brain gray matter volume (GMV), we used relevance vector regression to predict the Rey’s Auditory Verbal Learning Test Delayed Recall (AVLT-DR) scores of individual amnestic mild cognitive impairment (aMCI) patient. The whole-brain GMV pattern could significantly predict the AVLT-DR scores (r = 0.54, p < 0.001). The most important GMV features mainly involved default-mode (e.g., posterior cingulate gyrus, angular gyrus, and middle temporal gyrus) and limbic systems (e.g., hippocampus and parahippocampal gyrus). Therefore, our results provide evidence supporting the idea that the episodic memory deficit in aMCI patients is associated with disruption of the default-mode and limbic systems.
Long-Known Music Exposure Effects on Brain Imaging and Cognition in Early-Stage Cognitive Decline: A Pilot Study
Authors: Fischer Corinne E. , Churchill Nathan , Leggieri Melissa , Vuong Veronica , Tau Michael , Fornazzari Luis R. , Thaut Michael H. , Schweizer Tom A.
Published: September 2021

Background: Repeated exposure to long-known music has been shown to have a beneficial effect on cognitive performance in patients with AD. However, the brain mechanisms underlying improvement in cognitive performance are not yet clear. Objective: In this pilot study we propose to examine the effect of repeated long-known music exposure on imaging indices and corresponding changes in cognitive function in patients with early-stage cognitive decline. Methods: Participants with early-stage cognitive decline were assigned to three weeks of daily long-known music listening, lasting one hour in duration. A cognitive battery was administered, and brain activity was measured before and after intervention. Paired-measures tests evaluated the longitudinal changes in brain structure, function, and cognition associated with the intervention. Results: Fourteen participants completed the music-based intervention, including 6 musicians and 8 non-musicians. Post-baseline there was a reduction in brain activity in key nodes of a music-related network, including the bilateral basal ganglia and right inferior frontal gyrus, and declines in fronto-temporal functional connectivity and radial diffusivity of dorsal white matter. Musician status also significantly modified longitudinal changes in functional and structural brain measures. There was also a significant improvement in the memory subdomain of the Montreal Cognitive Assessment. Conclusion: These preliminary results suggest that neuroplastic mechanisms may mediate improvements in cognitive functioning associated with exposure to long-known music listening and that these mechanisms may be different in musicians compared to non-musicians.
Modeling the Distress of Adult-Child Caregivers of People with Dementia: The Mediating Role of Self-Efficacy
Authors: Wawrziczny Emilie , Antoine Pascal , Doba Karyn
Published: September 2021

Background: The increased tasks and responsibilities involved in supporting a parent with dementia (PWD) can induce distress in adult-child caregivers. Previous studies have shown that distress can be influenced by PWD and caregiver determinants, but few studies have considered the associations between these variables. Objective: This study tested a complex model of adult-child caregiver distress in which PWD and caregiver determinants and their associations are considered. Methods: 159 adult-child caregivers participated in this online study. PWD and caregiver determinants were assessed using questionnaires and their associations were investigated using the partial least squares path method. Results: The model showed a significant partial mediation through self-efficacy (confidence in one’s ability to organize and manage caregiving situations) between poor self-rated health and distress. Self-efficacy was a significant mediator of the relationship between informal social support and distress, and between preparedness and distress. The direct path between parental overprotection and distress was significant. The association between care and distress was significantly stronger for adult-child caregivers not living with their PWD. Conclusion: The model revealed the important mediating role of self-efficacy. Clinical interventions should improve the preparedness of adult-child caregivers and the quality of social support. The positive perception of their self-rated health may thus be promoted.
Solving target coverage problem in directional sensor networks with ability to adjust sensing range using continuous learning automata
Authors: Qarehkhani Azam , Golsorkhtabaramiri Mehdi , Mohamadi Hosein , Yadollahzadeh Tabari Meisam
Published: September 2021

Directional sensor networks (DSNs) are classified under wireless networks that are largely used to resolve the coverage problem. One of the challenges to DSNs is to provide coverage for all targets in the network and, at the same time, to maximize the lifetime of network. A solution to this problem is the adjustment of the sensors’ sensing ranges. In this approach, each sensor adjusts its own sensing range dynamically to sense the corresponding target(s) and decrease energy consumption as much as possible through forming the best cover sets possible. In the current study, a continuous learning automata-based method is proposed to form such cover sets. To assess the proposed algorithm’s performance, it was compared to the results obtained from a greedy algorithm and a learning automata algorithm. The obtained results demonstrated the superiority of the proposed algorithm regarding the maximization of the network lifetime.
Machine learning prediction of concrete compressive strength with data enhancement
Authors: Cui Xiaoning , Wang Qicai , Zhang Rongling , Dai Jinpeng , Li Sheng
Published: September 2021

The compressive strength of concrete can be predicted by machine learning. One thousand thirty samples of concrete compressive strength data were used as the dataset. Machine learning was applied to prediction of concrete compressive strength with seven machine learning algorithms. To improve data utilization and generalization ability of machine learning model, ten data sets were constructed by feature reorganization for data augmentation. Compared with other machine learning models, the XGBoost model based on Boosting tree algorithm had the highest prediction accuracy and the most robust generalization ability. With different multi-feature combination input conditions, the R2 score of the XGBoost algorithm was 0.9283, the MAE score was 3.4292, the MAPE score was 12.5656, and the RMSE score was 5.2813. The error accumulation curve of the XGBoost algorithm was analyzed. When the compressive strength of concrete is at 5–20MPa, the error contribution rate is higher. When the concrete compressive strength is at 20–40MPa, the prediction result error of the model drops sharply. When the strength reaches 40MPa, the error contribution rate of the model tends to converge and the error contribution rate is stable between 1 and 1.2, which indicates that the model has high prediction accuracy when the compressive strength is higher than 40 MPa.
An integrated approach for service quality evaluation of online health communities based on q-rung orthopair fuzzy linguistic aggregation operators
Authors: Hao Dong , Zhang Runtong , Bai Kaiyuan
Published: September 2021

Online health communities (OHCs) have emerged as a significant platform for people communicating health information and self-healthcare management. In recent, the researches focusing on its performance measurement and the service quality evaluation have drawn intensive attention. Although some qualitative methods have made evaluation and analyses for the OHCs performance, the studies based on fuzzy multi-attribute decision making theory are rarely developed in the service quality evaluation of OHCs. In view of the complexity and uncertainty of evaluation mission, this paper develops an integrated evaluation approach of the OHC service quality based on the q-rung orthopair fuzzy linguistic aggregation operators. Firstly, we propose the cross-entropy of q-rung orthopair fuzzy numbers, which is applied in solving the optimal weight of indicators by a linear programming model. Next, the q-rung orthopair fuzzy linguistic power average (q-ROFLPA) and q-rung orthopair fuzzy linguistic partitioned dual Maclaurin symmetric mean (q-ROFLPDMSM) operators are developed for aggregating the assessment information and ranking the OHCs. Based on the proposed aggregation operators, the evaluation indicator system and an evaluation framework are constructed to accomplish the service quality evaluation of OHCs. Finally, a practical evaluation case of OHCs is provided to demonstrate the reliability and advantages of the proposed approach.
Global fast terminal sliding mode based radial basis function neural network for accurate fault estimation in nonlinear systems
Authors: Shabbir Wasif , Aijun Li , Taimoor Muhammad , Yuwei Cui
Published: September 2021

The problem of quick and accurate fault estimation in nonlinear systems is addressed in this article by combining the technique of radial basis function neural network (RBFNN) and global fast terminal sliding mode control (GFTSMC) concept. A new strategy to update the neural network weights, by using the global fast terminal sliding surface instead of conventional error back propagation method, is introduced to achieve real time, quick and accurate fault estimation which is critical for fault tolerant control system design. The combination of online learning ability of RBFNN, to approximate any nonlinear function, and finite time convergence property of GFTSMC ensures quick detection and accurate estimation of faults in real time. The effectiveness of the proposed strategy is demonstrated through simulations using a nonlinear model of a commercial aircraft and considering a wide range of sensors and actuators faults. The simulation results show that the proposed method is capable of quick and accurate online fault estimation in nonlinear systems and shows improved performance as compared to conventional RBFNN and other techniques existing in literature.
A group consensus decision making based sustainable supplier selection method by combing DEMATEL and VIKOR
Authors: Wu Jian , Jin Yuting , Zhou Mi , Cao Mingshuo , Liu Yujia
Published: September 2021

Sustainable supplier selection (SSS) plays an increasingly critical role in the stability and development of the organization with increasing environmental awareness. This article proposes a linguistic multiple attribute group decision-making method to select the appropriate sustainable supplier by combing Decision Making and Trial Evaluation Laboratory(DEMATEL) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). To do that, a distribution linguistic based DEMATEL technique is developed to deal with the complexity in criteria of SSS. To eliminate the inconsistency among multiple decision-makers providing the preference information of evaluation criteria, a minimum adjusting cost feedback mechanism is utilized to reach group consensus. Therefore, the proposed weights obtaining method can not only deal with the subjectivity of evaluation criterion but also satisfy group decision-makers with different profits and backgrounds. Then, based on the evaluation matrices of supplier performance, it calculates the ranking of alternative suppliers by the VIKOR method. Hence, it can deal with the ambiguity of decision makers’ evaluation and provide the best solution for decision-makers, as a consequence, it makes the final evaluation result more feasible and operable. Finally, the effectiveness and efficiency of this method are verified based on the actual situation of ABC Company. This study proposed a linguistic multiple attribute group decision-making method to select the appropriate sustainable supplier by combing Decision Making and Trial Evaluation Laboratory(DEMATEL) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). What’s more, the proposed method considered the group consensus reaching processes.
A 20-year Clinical and Genetic Neuromuscular Cohort Analysis in Lebanon: An International Effort
Authors: Megarbane Andre , Bizzari Sami , Deepthi Asha , Sabbagh Sandra , Mansour Hicham , Chouery Eliane , Hmaimess Ghassan , Jabbour Rosette , Mehawej Cybel , Alame Saada , Hani Abeer , Hasbini Dana , Ghanem Ismat , Koussa Salam , Al-Ali Mahmoud Taleb , Obeid Marc , Talea Diana Bou , Lefranc Gerard , Lévy Nicolas , Leturcq France , El Hayek Stephany , Delague Valérie , Urtizberea J. Andoni
Published: September 2021

Background: Clinical and molecular data on the occurrence and frequency of inherited neuromuscular disorders (NMD) in the Lebanese population is scarce. Objective: This study aims to provide a retrospective overview of hereditary NMDs based on our clinical consultations in Lebanon. Methods: Clinical and molecular data of patients referred to a multi-disciplinary consultation for neuromuscular disorders over a 20-year period (1999–2019) was reviewed. Results: A total of 506 patients were diagnosed with 62 different disorders encompassing 10 classes of NMDs. 103 variants in 49 genes were identified. In this cohort, 81.4% of patients were diagnosed with motor neuron diseases and muscular dystrophies, with almost half of these described with spinal muscular atrophy (SMA) (40.3% of patients). We estimate a high SMA incidence of 1 in 7,500 births in Lebanon. Duchenne and Becker muscular dystrophy were the second most frequently diagnosed NMDs (17% of patients). These disorders were associated with the highest number of variants (39) identified in this study. A highly heterogeneous presentation of Limb Girdle Muscular Dystrophy and Charcot-Marie-Tooth disease was notably identified. The least common disorders (5.5% of patients) involved congenital, metabolic, and mitochondrial myopathies, congenital myasthenic syndromes, and myotonic dystrophies. A review of the literature for selected NMDs in Lebanon is provided. Conclusions: Our study indicates a high prevalence and underreporting of heterogeneous forms of NMDs in Lebanon- a major challenge with many novel NMD treatments in the pipeline. This report calls for a regional NMD patient registry.
Focused Ultrasound Thalamotomy in Tremor Dominant Parkinson’s Disease: Long-Term Results
Authors: Sinai Alon , Nassar Maria , Sprecher Elliot , Constantinescu Marius , Zaaroor Menashe , Schlesinger Ilana
Published: September 2021

Background: MRI-guided focused ultrasound (FUS) has established short-term efficacy in tremor relief. Objective: We report our long-term experience of treating tremor with unilateral FUS unilateral VIM-thalamotomy in tremor dominant Parkinson’s disease (TDPD) patients. Methods: We report outcome of FUS thalamotomy in TDPD patients with 1–5 years of follow-up. Outcomes: tremor reduction assessed with Clinical Rating Scale for Tremor (CRST) and Unified Parkinson’s Disease Rating Scale (UPDRS part III) overall and in the treated hemibody and safety. Results: Twenty-six TDPD patients completed 1–5 years of follow-up (median follow-up 36 months, range 12–60 months). Median age was 60 years (range 46–79), with median disease duration of 6 years (range 2–16). Immediately, treatment resulted in 100%improvement in tremor in the treated arm in 23 patients and 90%improvement in 3 patients. In 15 patients with leg tremor, 2 patients with chin tremor and 1 patient with head tremor, tremor was significantly improved. Up to 5 years, median CRST score, median UPDRS score, overall and in treated hemibody, decreased significantly as compared with baseline (p < 0.0001). In 2 patients tremor returned completely and in 8 patients there was partial return of tremor. Adverse events were mild and resolved within 3 months. At baseline 4 patients were not receiving any medication vs. 3 at last follow-up and 15 were not taking levodopa vs.9 at last follow-up. Conclusion: Unilateral FUS VIM-thalamotomy in TDPD patients was effective and safe and provided long-term tremor relief in most patients. FUS thalamotomy for tremor may delay initiation of levodopa treatment.
Ayudando a las abejas a combatir el ácaro Varroa destructor
Authors:   , Comunicación de las Ciencias Centro
Published: September 2021

La miel es uno de los productos de mayor exportación en Chile y por ende la apicultura debe ser un área prioritaria de investigación y desarrollo para el país. Las investigaciones del Dr. Patricio Vásquez apuntan al desarrollo de nuevos compuestos que permitan mejorar el control del ácaro Varroa destructor, uno de los principales parásitos que afectan a las abejas.
Hipotecando el futuro
Authors: Suazo Galdames Iván
Published: September 2021

Los ejes del presupuesto 2021 según el gobierno son la “recuperación y el empleo”, pero solo desde una mirada muy cortoplacista: crece casi 800% el monto destinado al Servicio Nacional de Capacitación y Empleo ligado a los subsidios de contratación, pero los recursos destinados al Fondo de Innovación, Ciencia y Tecnología decrecen en $16.598 millones. Seguimos en la lógica de exportar materia prima, para importar conocimiento, en vez de generarlo en el país.
Con libro y juego memorice buscan enseñar a los niños y niñas sobre biodiversidad chilena
Authors: Comunicación de las Ciencias Centro
Published: September 2021

El 50 % de las casi 4.000 especies nativas de Chile central (entre Antofagasta y Los Ríos) son únicas en el mundo, sólo se encuentran en esa zona de Chile, «tenemos que protegerlas. ¿Cómo? Mostrando sus nombres, dónde están, si están o no en peligro de extinción y sus principales características.
Cómo las variables emocionales individuales afectan en el consumo de alcohol entre adolescentes
Authors: Comunicación de las Ciencias Centro
Published: September 2021

Estudio analiza el papel de la autoestima, la impulsividad, la sensibilidad a la ansiedad y las expectativas en la presión percibida en el consumir o no alcohol en la adolescencia. Los resultados están siendo utilizados para construir un videojuego de realidad aumentada que trabaje aspectos protectores.
Infografía Humo Biomasa
Authors: Comunicación de las Ciencias Centro
Published: September 2021

El Centro de Comunicación de las Ciencias se suma a las iniciativas comunicar investigaciones científicas a través de formatos novedosos y dinámicos. Y en esta, la primera entrega, se busca concientizar sobre los efectos nocivos del humo que se produce por la combustión de leña y otros materiales de origen animal o vegetal.
COMPARATIVE STUDY –FETOMATERNAL OUTCOME IN COVID 19 PREGNANCIES BETWEEN FIRST AND SECOND WAVE
Authors: Rajendran Aarthi , Parikh Rajni , Patel Payal
Published: September 2021

Background: Many countries have seen a two-wave pattern in reported cases of coronavirus disease-19 during the 2020 pandemic.  Empirical data show that the characteristics of the effects of the virus do vary between the two periods. Differences in age range and severity of the disease have been reported, although the comparative characteristics of the two waves still remain largely unknown. This study helps in the comparison between the characteristics and severity between first and second wave.

Methods: This study is prospective and comparative study based on compiled clinical and outcome data for pregnant women infected with COVID-19 between April 2020 to October 2020 and March 2021 to July 2021  at our tertiary level hospital. A laboratory confirmed case of COVID-19 is defined as a positive result by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) assay of maternal pharyngeal and nasopharyngeal swab specimen.

Results: In our hospital, a total of 89 pregnant women were admitted in our tertiary hospital, out of which 53 of the patients were antenatal women of which 15 of the women died, 32 patients were admitted during third trimester and labour and 4 patients were delivered outside and referred here. This study, the most common age group affected was only between 20-30 years same as that of the first wave, preterm deliveries was found to be higher. The second wave had higher incidence and severity of cough (40%), fever (43%), diarrhea (28.12%) and dyspnea (38%).It also suggests that the caesarian rates(62%) were found to be higher in covid 19 patients and maternal mortality rate(25%) was also found to be higher thereby indicating the need for vaccination to reduce the severity and mortality in the upcoming waves.

Conclusion: The result of the present study suggests that the second wave among the pregnant women was found to be more severe when compared to the first wave because of the new variants. Because of this we as obstetricians and health care workers has to insist upon the vaccination during pregnancy thereby preventing the severity of the disease and reducing the maternal mortality.

Key words: covid 19, fetomaternal outcome, maternal mortality.
SPLENECTOMY IN PAEDIATRIC AGE GROUP
Authors: Maheshwari Mayur , Singh Pritanshi
Published: September 2021

Background: In view of splenectomy in dealing with certain clinical problems in paediatric age group.
Objective: To describe the profile, indications, post-operative management and outcomes of children undergoing splenectomy.
Methods: All children undergoing splenectomy from June’2019 till August’2021 at INDEX MEDICAL COLLEGE, INDORE, M.P.
Results: The mean age at surgery was 9.9 years (range 3-16). Most splenectomies were per-formed for haematological disorders and were open .The mean post-operative length of stay (LOS) in patients who underwent open surgery was 4 days. No cases of overwhelming post splenectomy infec-tion (OPSI) were noted. At study completion, haematological disorders were the most common indication for splenectomy in children.
Conclusion: Indications for paediatric splenectomy mirror those found in international litera-ture. We haven't performed splenectomy, laparoscopically. Within this short span of time, no mortal-ity was recorded. We did not have any case of OPSI.
Key words: splenectomy
Improving the Structure of a Signal Used for Real-Time Calibrating of the Receiving Channels of Digital Transceiver Modules in Digital Phased Antenna Arrays
Authors: Viet Hung Tran , Minh Thien Hoang
Published: September 2021

Introduction. Modern digital phased array antenna (DPAA) systems incorporate a large number of identical transceiver modules (TMs). These modules require real-time calibration with a high level of accuracy. In a previous work, we proposed a real-time calibration method for all receiver channels, which is based on the use of a calibration signal (CalSig) of the same frequency spectrum as the reflected signal and modulated in phase and amplitude by BPSK and OOK codes, respectively. This method was found to have a number of advantages over conventional approaches. However, the use of the same CalSig sample for all receiving channels increases the noise power gain at the output of a digital beam-forming unit (DBU). To overcome this limitation, we set out to improve the structure of CalSigs by making them pseudo-orthogonal. As a result, the noise power gain at the DBU output can be significantly reduced compared to that obtained in our previous work.Aim. To propose an improved design of a controlled amplitude modulation code OOK generator, which allows creation of pseudo-orthogonal CalSigs. As a result, the noise power gain at the output will increase insignificantly, thus having no negative effect on the quality of digital beam forming, signal processing and calibration.Materials and methods. Theory of system engineering and technology; theory of digital signal processing; system analysis; mathematical modeling.Results. An improved CalSig for calibrating the receiving channels of TMs was obtained. A structural diagram allowing the formation of pseudo-orthogonal CalSigs was synthesized.Conclusions. We proposed a new approach to improving the structure of signals used for real-time calibrating the DPAA receiving channels. A structural diagram of an amplitude-modulated OOK code generator for pseudo-orthogonal CalSigs was developed.
IR-Photometry Method for Measuring Glucose Concentration in Peritoneal Dialysis Fluid
Authors: Zhilo N. M. , Mikhailov M. O. , Litinskaia E. L. , Pozhar K. V.
Published: September 2021

Introduction. The transition of glucose into the blood during automated peritoneal dialysis with regeneration of the dialysis fluid leads to a decreased removal of excess fluid from the body and corresponding violations of the water-salt balance.Aim. To consider a system for automatically maintaining the concentration of glucose in the dialysate solution, which provides effective ultrafiltration, as well as to propose a non-contact photometric feedback sensor.Materials and methods. The sensor is an optical system of an IR laser diode with a power of 30 mW and a wavelength of 1600 nm, a photodiode and a quartz tube, through which the test solution circulates. The sensor measures the attenuation of the radiation passing through the solution in a pulsed mode and calculates the glucose concentration. The selected combination of digital filters provides compensation for the noise of the optical system. Experimental studies of the efficiency of the sensor were carried out on peritoneal dialysis solutions with various concentrations of urea, creatinine, uric acid and glucose. At the beginning of the experiments, the sensor was calibrated in a pure solution.Results. It was shown that the developed sensor makes it possible to measure the concentration of glucose in a solution for peritoneal dialysis in the range of 42…220 mmol / l with a relative error of about 15%. The time of one measurement is about 1 minute, which makes it possible to obtain up-to-date information on the current concentration of the solution.Conclusion. This combination of characteristics will allow the sensor to be used in artificial kidney wearable devices for assessing the glucose content in the solution, calculating the time to change the solution and as a feedback sensor in a system for maintaining the concentration of the osmotic agent.
Investigation of Inaccuracies in the Assessment of Ventricular Late Potentials Using 12-lead ECG Recordings
Authors: Hanadi Solieman , Nguyen Trong Tuyen
Published: September 2021

Introduction. Ventricular late potentials (VLP) are predictors of cardiac disorders such as sudden death syndrome, myocardial infarction and ventricular tachyarrhythmias. Therefore, VLP assessment allows the severity and possible dangerous consequences of such disorders to be predicted.Aim. To determine errors associated with VLP assessment by high-resolution 12-lead ECG recordings.Materials and methods. VLPs were determined by the modulus of the cardiac electrical vector using signals from orthogonal leads. The conversion error was assessed using synchronous ECG recordings of 12-channel and orthogonal leads, the method of digital filtering (to reduce noise and interference) and the method of identifying characteristic points of the QRS complex and VLPs.Results. The conversion of 12-lead ECG signals into orthogonal signals results in errors associated with the assessment of both the modulus of the cardiac electrical vector and all VLP indicators. The Kors transformation was shown to provide the minimum errors when assessing the cardiac electrical vector modulus in the QRS area, with the errors related to the VRMS assessment not exceeding 0.084 %. The estimation of the QRSd and LAS errors should consider the nature of VLP variations and the zone of uncertainty in their assessment. The ambiguity of the results of assessing the boundaries of violations and the absence of pathologies in cardiac ventricular depolarization indicates the influence of a large number of factors on research accuracy. Errors in the assessment of these factors may result in under- and overestimation of dangerous heart rhythm disturbances and incorrect prediction of the patient' state.Conclusion. The obtained results can be used for reducing errors associated with the assessment of VLP indicators, improving the diagnostic accuracy of dangerous heart rhythm disturbances and predicting disease exacerbation due to structural and morphological disorders of the myocardium.
Interdiscursivity of Biofictional Narration: the Image of Petersburg in M. Bradbury’s “To the Hermitage”
Authors: Urusova N. A.
Published: September 2021

Introduction. The present paper deals with the interdiscursivity in postmodern literary biographic narration (biofiction) in which interdiscursivity is viewed as the author’s strategy of text formation. The relevance of the study is conditioned by the interest of modern linguistics in interaction of different discourse types in literary texts. It is also relevant to study different techniques that the English author uses to represent an external linguocultural context, namely, to create the image of a Russian city in the English-language narration. The novelty of the research is implied by the choice of material under examination, as the constitutive elements of biofictional narration have not been fully defined yet.

Methodology and sources. The study is drawn on M. Bradbury’s English-language postmodern biofictional novel To the Hermitage. This biofiction depicts D. Diderot’s trip to St. Petersburg, where he was invited by Catherine the Great. It also recounts the adventures of a modern expedition, which came to the same destination to study the French philosopher’s heritage. The research of discourse interaction is based on a methodology, developed by V. Chernyavskaya. It combines traditional methods of stylistic analysis with discourse analysis.

Results and discussion. While analysing the literary space of the biofiction, the following “central” discourses have been identified: Russian-culture-oriented discourse of English as well as historical, political, and autobiographical discourses. The narration is also rich in traits of “periphery” discourses, to name just a few: economical, literary, colloquial French, etc. M. Bradbury uses the strategy of simulated interdiscursivity to make a persuasive impact on a reader’s mind, at the same time involving the reader in fact-fiction semantic game.

Conclusion. The analysis highlighted here proved the fact that interdiscursivity is one of the dominant mechanisms an author uses to construct biofictional narration. This strategy reflects some key features of postmodern texts, such as blending of literary genres, a playful montage of different discourse types and ironic mode of narration.
Analysis of Humanitarian Technologies of Expertises in Solving of Socio-Cultural Dilemmas
Authors: Kovaleva T. V.
Published: September 2021

Introduction. The aim of the article is to show the socio-philosophical basis of humanitarian expertises and to demonstrate an important role of these technologies in the life of society and the world for solving of current socio-cultural dilemmas. We set ourselves the following tasks: to conduct a socio-philosophical justification of the theoretical foundations of moral expert science, to define three types of humanitarian expertises, to identify the range of their application, to show the significance of their application for society and for professional organizations.

Methodology and sources. This work methodologically is based on a socio-philosophical analysis of the works of well-known sociologists and philosophers of the ХХ–XXI centuries who created the foundation for humanitarian expertises as well as on a comparative analysis of the three expertises with the identification of their deferential characteristics.

Results and discussion. Thanks to the developed methods and methodologies in sociology, cultural studies, etc., various new approaches were created for the scientific study of the society problems and the consequences of the influence of scientific and technological progress on it. These methods and methodologies which are the basis of humanitarian technologies, allowed us to step over the individual subjectivity and to consider objectively socio-cultural phenomena, based on facts and on the justification of social action. Suggested by Emile Durkheim’s practical sociological method of investigating facts made it possible to combine the forces of specialists in different fields to identify the causes of the appearance of normal and pathological factors and to analyze them. Whereas, M. Weber outlined the methodological foundations of social action with the help of them it is possible to objectively identify the main actions developed by this society. The methods and techniques formed the basis of the humanitarian technologies of three examinations: socio-humanitarian, humanitarian and ethical. There is still no term under which they can be combined so the author’s this article proposed the term – humanitarian. The humanitarian is from the word humanity (humanity), that is, what is inherent in all people including society and its actions. Functional analysis of social and cultural products by Robert Merton and show of ethics micro and macro order by George Ritzer had formed the foundation for modern humanitarian expertises: social humanitarian, humanitarian and ethical.

Conclusion. When the role of science in the life of society becomes dominant, it is necessary to have such methodologies with which it will be possible to control the illegal use of scientific achievements, to identify unethical behavior of scientists. The main focus of these expertise is to control the illegal activities of professionals, to protect the interests and health of people.
Sociodynamics of Students’ Digital Capital in the Context of the COVID-19 Epidemiological Crisis: an Experience of a Mixed Strategy of Empirical Research
Authors: Deryugin P. P. , Bannova O. S. , Kamyshina E. A. , Yarmak V. E. , Salfetnik K. E.
Published: September 2021

Introduction. The sociodynamics of students’ digital capital in the context of an epidemiological crisis has acquired special characteristics. The speed, focus and technologies for the formation of digital capital have changed significantly and are expressed in new content features and characteristi cs of sociodynamics.

Methodology and sources. An integrative approach to the study and analysis of the digital capital sociodynamics is used, which consists a set of theoretical and methodological positions in the study of digital capital proposed by resea rchers earlier. An approach to the sociological interpretation of the concept of digital capital, which is characterized by systemic and integrative characteristics, is presented. The formed theoretical and methodological platform served as the basis for c onstructing an empirical research methodology.

Results and discussion. Methodological approaches to the digital capital definition as an object of research are generalized. The contradictions and fragmentation in the interpretation of digital capital in private research and the relevance of sociological understanding of the essence of digital capital are shown. The tendencies and trends of the sociodynamics of digital capital during the pandemic have been empirically confirmed.

Conclusion. The article presents some trends in the sociodynamics of students’ digital capital in a pandemic: first, the stimulating role of the pandemic in the development of digital competencies; secondly, changes in the direction of mastering digital competencies; third, analysis of the activity and intensity of changes in digital competencies; fourth, the intensification of the development of digital technologies related to the social aspects of interaction in the context of a lockdown.
Artificial Intelligence in Media Discourse of 2010s
Authors: Kolianov A. Yu.
Published: September 2021

Introduction. The article examines the image of artificial intelligence in the media and its reflection in 2010s. Coverage of the fast development of technology in the mass media requires careful analysis and systematic monitoring due to not fully determined socio-ethical ideas about the place and role of artificial intelligence in human life. The paper attempts to study what media had about artificial intelligence in the second decade of the 21st century.

Methodology and sources. Based on the results of quantitative and qualitative studies of the texts of Russian and foreign media, semantic changes in the representation of artificial intelligence are analyzed. To collect empirical informa tion, we used the analysis of documents (reports and preparatory notes of UNESCO for the development of an ethical code of artificial intelligence), public opinion polls, content analysis of Russian and foreign media.

Results and discussion. According to the results of the study, correlation between intensity of references to artificial intelligence on political and economic phenomena was noted. In particular, there is a connection with the growth of economic activity of investors in advanced technologies, the launch of innovative technologies in the sphere of consumption by large companies and the strategic programs of states.

Conclusion. At the moment, artificial intelligence is seen as positive technology. Implementation of AI into social and professional spheres is irreversible. The negative consequences of the development of AI are considering as an unobvious hypothetical future. By the beginning of the third decade of the 21st century, the media discourse around AI expanded to such a state of uncertainty that it took action to establish an ethical framework for the development of technology.
Viabilidade para utilização de cinza de caldeira industrial na dosagem de concreto estrutural
Authors: Justino Lucas Diego de Souza
Published: September 2021

A industrialização e o crescimento populacional acelerado, geram efeitos colaterais sobre diversos aspectos sociais, sendo a questão ambiental preocupante devido aos impactos causados pela evolução social. A gestão de resíduos industriais é um grande desafio que envolve tanto controle de sua geração, quanto da destinação adequada, garantindo sustentabilidade ambiental. O resíduo de cinza de caldeira é encontrado em abundância nas fábricas que utilizam esse equipamento para geração de vapor. Essa abundância ocorre pela falta de local para destinação adequada ou reutilização do resíduo. Tendo em vista esse cenário, o presente artigo teve como questão norteadora: Seria possível utilizar esse resíduo na produção de concreto estrutural? O objetivo do estudo foi classificar o resíduo definindo sua possível forma de utilização na dosagem de concreto e realizar dosagens experimentais com a utilização da cinza de caldeira industrial para avaliar suas possíveis contribuições técnicas para propriedades básicas do concreto. Para isto, foi realizada a coleta de amostras cedida por uma indústria instalada no município de Uberlândia, estado de Minas Gerais, atuante em diversos setores como agricultura, nutrição animal, farmacêutico e outros. A classificação da cinza de caldeira foi realizada aplicando-se os procedimentos e parâmetros normativos brasileiros utilizados para classificação de aglomerantes e agregados para concreto. Considerando sua curva granulométrica e densidade, classificou-se o resíduo como agregado leve e muito fino, sendo assim, adotou-se a metodologia de substituição parcial do agregado fino por cinza de caldeira. Verificou-se que houve redução da trabalhabilidade do concreto no estado fresco proporcionalmente ao teor de resíduo utilizado. Portanto, é necessária a utilização de aditivos superplastificantes nesses casos, para manutenção da trabalhabilidade esperada. Notou-se redução da densidade do concreto quando utilizado o resíduo, considerando como necessária a atenção a essa propriedade do concreto com relação ao teor utilizado do resíduo na dosagem. Observou-se, também, ao comparar as dosagens com a utilização do resíduo à dosagem padrão, que houve redução de resistência a compressão. Porém, não houve grande variação de resistência a compressão entre as dosagens com diferentes teores de substituição utilizados. Concluiu-se, portanto, considerando os teores utilizados nesse estudo, como viável a utilização desse resíduo na produção de concreto estrutural.
ДЕРЖАВНЕ РЕГУЛЮВАННЯ МІГРАЦІЙНИХ ПРОЦЕСІВ В УКРАЇНІ: КОНЦЕПТУАЛЬНО-ПРИКЛАДНІ ХАРАКТЕРИСТИКИ
Authors: Свидрук Ірена , Коцупей Володимир
Published: September 2021

Стаття присвячена аспектам формування та реалізації державної політики регулювання міграційних процесів в Україні. Висвітлено актуальність державної політики в цій сфері. Показано, що високі та зростаючі обсяги міграційних процесів в Україні загрожують сталому розвитку національної економіки. Вони призводять до вимивання інтелектуально-кадрового ресурсу функціонування економіки та регіонів України. Констатовано, що попри зростання обсягів погіршується й структура міграції. В міграційних процесах, зокрема зовнішніх, все більшу частку займає молодь, високоосвічені та кваліфіковані працівники, вузькоспеціалізовані фахівці. Для України все більшого поширення набуває також й зовнішня міграція бізнесу та інтелектуальної власності. Виявлено недоліки державного регулювання міграційних процесів в Україні. Визначено інструменти забезпечення зростання ефективності регулювання міграції в Україні.
ФУНКЦІОНУВАННЯ В УКРАЇНІ РИНКУ ДЕРЖАВНИХ ОБЛІГАЦІЙ ВНУТРІШНЬОЇ ПОЗИКИ
Authors: Ватаманюк-Зелінська Уляна
Published: September 2021

Досліджено особливості та сутність облігації внутрішньої позики. Проаналізовано динаміку розміщення ОВДП на первинному ринку в Україні та динаміку обсягів коштів залучених до Державного бюджету України за терміном обігу, а також динаміку дохідності облігацій внутрішньої державної позики за період 2016-2020 рр. Встановлено проблеми функціонування ринку облігацій внутрішньої позики в Україні та представлено перспективні напрямки розвитку внутрішнього ринку державних облігацій. Розроблено рекомендації щодо покращення умов функціонування ринку облігацій внутрішньої позики в Україні. Результати дослідження можуть бути використані для розробки програми оптимального та раціонального використання державних запозичень з максимальною користю.
ЛЮДСЬКИЙ ПОТЕНЦІАЛ ЯК ФАКТОР СТРАТЕГІЧНОГО РОЗВИТКУ РЕГІОНІВ КАРПАТСЬКОГО ЕКОНОМІЧНОГО РАЙОНУ
Authors: Латинін Костянтин
Published: September 2021

Стаття присвячена дослідженню проблематики розвитку західних регіонів України, аналізу їх людського потенціалу за напрямками: освіта, зайнятість науковими та науково-дослідними роботами, ринок праці. Результати дослідження свідчать, що скорочується сфера освіти в Україні в цілому та її Карпатському економічному районі. Разом з тим, масштаб прикладання наукової праці збільшується, рівень безробіття в більшості регіонів району зменшується. Для посилення людського чинника та його ролі в процесі розвитку регіональної економіки рекомендовано: розвивати мережу навчальних закладів; впроваджувати інноваційну культуру; підтримати фінансовий супровід науки та дослідництва; розширювати коло регіональних економічних програм, які дозволять збільшити кількість робочих місць та зменшити рівень безробіття.
ІННОВАЦІЙНІ ТЕХНОЛОГІЇ ТУРИСТИЧНОЇ ДІЯЛЬНОСТІ НА СВІТОВОМУ РИНКУ ТУРИСТИЧНИХ ПОСЛУГ
Authors: Чуєва Інна , Ніколаєва Лариса , Косарєва Наталя
Published: September 2021

Розвиток сучасного туризму багато в чому залежить від розробки та впровадження інноваційних технологій, спрямованих на вдосконалення обслуговування клієнтів і розширення сервісних туристичних можливостей. Необхідно бути сучасним, йти в ногу з прогресом, щоб забезпечити ефективність і прибутковість даної сфери послуг. В даний час, в науковій літературі, розвиткові інновацій в туристичній сфері загалом і в туристичному бізнесі зокрема, приділяється настільки ж значна увага, як і інноваційному розвитку всієї економіки. Специфіка галузі така, що будь-які інновації в туризмі – це, перш за все, вивід на ринок продуктів, що володіють в той чи інший момент часу найвищими споживчими властивостями, здатними підвищити рівень задоволеності існуючого споживчого попиту. Стаття містить відомості про напрямки розвитку інноваційної діяльності в сфері туристичних послуг і їх грамотному застосуванні на підприємствах даної галузі. Також інформує про основні інноваційні технології, їх зміст, застосування і ефективності.
Manajemen Idarah dan Imarah Masjid Raya Al Hijri 2 Bogor
Authors: Firmansyah Indra Muhammad
Published: September 2021

The function of the mosque is not only as a place of worship rituals. The mosque must have the function of community empowerment, economic improvement, the organization of Baitul Mal, zakat, infaq, and alms services. Therefore, mosque managers must realize that mosques have a huge role, at least for the mosque's congregation. The purpose of this study was to determine the management of the Al Hijri 2 Bogor Grand Mosque. This research is qualitative. They were collecting data through interviews, observation and documentation. The study results found that the management of the Masjid Raya Al Hijri 2 Idarah and its Imarah has been running smoothly. However, because the mosque is expanding, the function of the mosque in social and economic terms has not been going well.

Abstrak

Fungsi masjid bukan hanya sebagai tempat ritual ibadah. Masjid harus memiliki fungsi pemberdayaan masyarakat, peningkatan ekonomi, penyelenggaraan Baitul mal, pelayanan zakat, infak, dan sedekah. Oleh karena itu, pengelola masjid harus menyadari bahwa masjid memiliki peran yang sangat besar, sekurang kurangnya bagi jamaah masjid itu sendiri. Tujuan penelitian ini untuk mengetahui Manajemen Masjid Raya Al Hijri 2 Bogor. Penelitian ini merupakan penelitian kualitatif. Pengumpulan data melalaui wawancara, observasi dan dokumentasi. Hasil penelitian menemukan bahwa Manajemen Masjid Raya Al Hijri 2 Idarah dan Imarahnya sudah berjalan dengan lancar akan tetapi disebabkan masjid dalam proses perluasan maka fungsi masjid dalam bentuk sosial dan ekonomi belum berjalan dengan baik.