bluuebunny/crossref_metadata_2025 huggingface dataset:
STATIC ANALYSIS OF A PLATE ON ELASTIC FOUNDATION WITH THE MODELING IN PC “LIRA” AND WITH THE CALCULATION BY VARIATIONAL-DIFFERENCE METHOD
Authors: Семенюк С Д , Козунова О В , Кумашов Р В
Published: October 2020

Static analysis of a plate on elastic foundation is made in two ways on the example of a reinforced concrete road plate 2PP30.18-30 series B3.503.1-1 intended for temporary roads. The plate are calculated on the PC «LIRA». Also the plate are calculated by the variational-difference method like a construction on linearly elastic inhomogeneous foundation (in the form of criss-crossed reinforced concrete tapes). When setting up a contact problem, hypotheses and assumptions of the theory of elasticity and structural mechanics are used. The hypotheses of the theory of bending are valid for a plate. When the deformation energy functional is compiled, the work of the forces of the intrinsic weight of the elastic foundation is not taken into account. In the contact zone, the equality of the displacements of the foundation to the deflections of the plate is valid. When calculating a layered elastic medium is replaced by a rectangular design area, which is approximated by a rectangular grid of finite dimensions. For unknowns are accepted vertical and horizontal movements of the nodes of the calculation area and reactive pressures (contact stresses) in the contact zone of the plate with the base. Based on the calculated values of nodal displacements the intensity of deformations and the intensity of stresses are identifying. When calculating in a PC «LIRA», 6 loading options are considered (central and edge). When calculating the variational-difference method, only central loading is considered. There are given the results of numerical studies in comparison to the two variants of calculations in this article.
ЕКСПЕРИМЕНТАЛЬНІ ДОСЛІДЖЕННЯ ОПОРУ ЗАХИСНИХ СТІН ФОРТИФІКАЦІЙНИХ СПОРУД ДИНАМІЧНИМ ВПЛИВАМ
Authors: Філіпчук С В
Published: October 2020

Наведені результати випробування динамічною дією дослідних захисних сталефібробетонних плит. Використання високоміцних швидкотверднучих бетонів дозволяє зменшити товщину плит в 2 … 3 рази порівняно з бетонів звичайних класів.
ПІДВИЩЕННЯ СЕЙСМОСТІЙКОСТІ ГРОМАДСЬКИХ БУДІВЕЛЬ СТАРОЇ ЗАБУДОВИ
Authors: Дорофеєв В С , Пушкарь Н В
Published: October 2020

Розглянуті характерні пошкодження будівельних конструкцій у зв'язку з великим терміном експлуатації, встановлені основні причини руйнування  несучих конструкцій громадських будівель в Одеському регіоні і запропоновані методи підвищення сейсмостійкості  будівель, забудованих без урахування дії сейсмічних впливів.
ОКРЕМІ ПРОБЛЕМИ ГЛИБОКО РОЗМІЩЕНИХ БУДИНКІВ У ВЕЛИКИХ МІСЬКИХ АГЛОМЕРАЦІЯХ
Authors: Дохойда Марек , Вітковска-Добрев Йоанна , Осіньскі Пьотр
Published: October 2020

У даній роботі піднята проблема багатомісних підземних гаражів. Вказано на складність вирішення  інженерних питань, що виникають під час проектування та будівництва таких об’єктів. Крім того, здійснено аналіз окремих проблем, повязаних з процесом проектування підземних  гаражів й під час реалізації їх інвестування.
МЕТОДИКА ОЦІНКИ НАДІЙНОСТІ ЗАЛІЗОБЕТОННИХ БАЛОК, ПІДСИЛЕНИХ ЗАЛІЗОБЕТОННОЮ ОБОЙМОЮ
Authors: Титаренко Р Ю , Хміль Р Є
Published: October 2020

Розроблено принципову методику оцінки надійності прямокутних залізобетонних балок, підсилених залізобетонною обоймою при дії навантаження. Запропоновано ряд контрольованих стохастичних параметрів резерву несучої здатності, а також рівня навантаження таких конструкцій в момент підсилення.
СИСТЕМА ЗОВНІШНЬОГО ПІДСИЛЕННЯ ЗАЛІЗОБЕТОННИХ ЗГИНАльНИХ ЕЛЕМЕНТІВ І МОДЕЛЮВАННЯ ЇЇ РОБОТИ
Authors: Чеканович М Г , Романенко С М , Андрієвська Я П
Published: October 2020

Підсилення залізобетонних елементів, таких як балки та плити  широко застосовуються у будівельній практиці. В останні роки обсяги застосування підсилення високі, що обумовлено значним зростанням питомої ваги реконструкції в будівництві. Будівельні конструкції потребують підсилення, яке забезпечить  достатню роботоздатність та надійність в умовах нормальної експлуатації. Приведені результати аналізу поведінки під навантаженням згинальних залізобетонних елементів підсилених саморегульованою затяжкою і звичайною балкою та розглянуто математичну модель розрахунку системи підсилення.
ВИКОРИСТАННЯ ЗБІРНОЇ ЗАЛІЗОБЕТОННОЇ НАКЛАДНОЇ ПЛИТИ ДЛЯ РЕКОНСТРУКЦІЇ МОСТІВ СТАРОЇ ПОБУДОВИ
Authors: Стечишин С М , Кваша В Г
Published: October 2020

Описана реконструкція двох мостів старої побудови, габарит яких був розширений збірною залізобетонною накладною плитою. Показано, що збірні залізобетонні ребристі накладні плити з консолями можна використовувати для розширення різних типів прольотних будов мостів. Реконструйовані мости за експлуатаційними показниками відповідають перспективній технічній категорії автодороги, мають нормовану вантажопідйомність, пропускну здатність і забезпечують безпеку та комфортність руху.
НАПРУЖЕНО-ДЕФОРМОВАНИЙ СТАН КІЛЬЦЕВОГО ПЕРЕРІЗУ ЗАЛІЗОБЕТОННИХ ЕЛЕМЕНТІВ
Authors: Чеканович М Г
Published: October 2020

Стаття присвячена аналітичному визначенню параметрів напружень та деформацій залізобетонних елементів кільцевого перерізу, серед яких колони, стояки опор, труби, палі. Точне вирішення рівнянь напружено-деформованого стану поперечних перерізів конструкцій в межах передумов виконано на основі  рекурентної формули для  інтегралу від диференційного біному.
Time-Optimal Control Problem for a Fuzzy Object
Authors: Plotnikov Andrej , Komleva Tatyana , Plotnikova Liliya , Skripnik Natalia
Published: October 2020

In this article  one optimal control problem when the system behavior is described by linear fuzzy differential equations is considered. The conditions of its solvability are formulated, and the optimal time and optimal controls are obtained.
Modelling of an explosion impact on a deformable medium with rigid inclusions with quasiconformal mappings methods
Authors: Malash Kateryna Mykolaiivna , Bomba Andrii
Published: October 2020

The explosive process influence on the environment with the existing impenetrable fixed inclusion is investigated by quasiconformal mappings numerical methods and step-by-step parameterization of the environment and the process characteristics numerical methods. The boundaries of the crater formed by the explosion, pressed and undisturbed areas of soil are determined. Numerical experiments were performed on the basis of the developed algorithm
On solvability of the matrix equation AXB = C over a principal ideal domain
Authors: Prokip Volodymyr
Published: October 2020

In this paper we present conditions of solvability of the matrix equation AXB = B over a principal ideal domain. The necessary and sufficient conditions of solvability of equation AXB = B in term of the Smith normal forms and in term of the Hermi-te normal forms of matrices constructed in a certain way by using the coefficients of this equation are proposed. If a solution of this equation exists we propose the method for its construction.
Research and automation of the process of electrocoagulation wastewater treatment on the basis of the developed mathematical model
Authors: Safonyk Andrii , Koval Sergiy , Safonyk Olga , Batako Andre
Published: October 2020

The paper presents the principles of the construction of an automated wastewater treatment system based on a generalized spatial model. A model problem, which contains descriptions of the main processes occurring in the electrocoagulation reactor taking into account the placement of the plates was developed. To verify the adequacy, a comparison between computer simulations and the results of a field experiment was made. The influence of reactor size, current density, location of electrode plates on the efficiency of chromium extraction was investigated. As a result of the study, it was proved that the mathematical model is effective for determining the parameters of the purification process, and the obtained coefficients are effective for optimizing the purification process. Based on these studies, a scheme for automation of the process of wastewater treatment from chromium was built. With the help of SCADA - WinCC, a flexible control system with the ability to control the performance of the entire installation in real time was developed.
Modeling the Risk Level of Information Security at Enterprise
Authors: Hladka Olena Mykolayivna , Karpovych Ivan Mykolayovich , Nakonechnа Juliya
Published: October 2020

The paper is devoted to the study of cybersecurity of information resources at an enterprise. We consider some of the methods that allow you to analyze information security risks and evaluate the optimal costs for an enterprise to protect information. Addressing the cybersecurity problem of information resources requires the preparation and adoption of organizational and technical measures, the development of which is based on the approaches proposed.
System Modeling and Management of Water Resources in Ingulets Basin
Authors: Demchuk Olena , Kovalchuk Pavlo , Kovalenko Roman , Kovalchuk Volodymyr , Balykhina Hanna
Published: October 2020

Mathematical models have been developed for managing the water resources of the Ingulets River in accordance with the requirements of the EU Water Framework Directive on the establishment of cost-effective water use with ensuring good or excellent ecological river status. The structural and functional diagram of the system model includes the subsystems: water supply by the Dnipro-Ingulets canal; flushing the Ingulets River from the Karachunivske reservoir and displacing the saline prism into the Dnipro River; environmental safety when discharging pollution into the river Ingulets; water supply for irrigation in the Ingulets irrigation system, prevention of soil salinization. Integrated management is carried out by subsystems, by types of management and by a system of criteria. A system of economic and environmental criteria for evaluating integrated management by the basin principle has been developed. Simulation of scenarios based on operational management is carried out. Scenarios are optimized according to the Pareto principle. An example of evaluating the effectiveness of the proposed control system and its comparison with the existing regulations for flushing the Ingulets River is given.
Optimization of the MESH network route by means of an artificial neural model
Authors: Safonyk Andrii , Mishchanchuk Maksym , Lakus Petro
Published: October 2020

This article about system of remote-control access to the rooms and buildings based on MESH network. On MESH network for make routes used neural network developed by Tensorflow and Keras
Identification of Sex Differences in Tumor-Specific T Cell Infiltration in Bladder Tumor-Bearing Mice Treated with BCG Immunotherapy
Authors: Rousseau Matthieu , O’Brien Conan J.O. , Antequera Eduardo , Zdimerova Hana , Cansever Dilay , Canton Tracy , Zychlinsky Scharff Anna , Ingersoll Molly A.
Published: October 2020

BACKGROUND:

Bladder cancer is the fourth most common cancer for men. However, women are often diagnosed with later stage disease and have poorer outcomes. Whether immune-based sex differences contribute to this discrepancy is unclear. In addition, models to investigate tumor-specific immunity in bladder cancer, in the context of tumor development or response to therapy, are lacking.

OBJECTIVE:

To address this specific unmet need, we incorporated a commonly used model antigen, ovalbumin, into two well-established models of bladder cancer; the orthotopic MB49 cell line model and the carcinogenic BBN bladder cancer model.

METHOD:

We tested the utility of these models to investigate tumor-specific immunity in the context of immunotherapy in both sexes.

RESULTS:

We found that BCG vaccination, prior to weekly BCG instillation does not impart an immune-specific benefit to tumor-bearing mice in the context of multiple BCG instillations. Furthermore, tumors developed in the testes in male mice, precluding the use of the MB49 model to directly investigate sex-based immune differences. In the BBN model, we observed that more tumor antigen-specific CD8+ T cells infiltrated male bladders compared to female bladders in the context of BCG immunotherapy whereas regulatory T cells had higher levels of the exhaustion marker PD-1 in female mice.

CONCLUSIONS:

We propose our modified BBN model will contribute to our understanding of how tumor-specific immunity arises in bladder cancer. Additionally, the BBN bladder cancer model may help to uncover sex differences in tumor-specific immunity, which would provide valuable information for the development of new treatments or combination therapies for bladder cancer in women and men.
The Potential Contribution of Chronic Pain and Common Chronic Pain Conditions to Subsequent Cognitive Decline, New Onset Cognitive Impairment, and Incident Dementia: A Systematic Review and Conceptual Model for Future Research
Authors: Innes Kim E. , Sambamoorthi Usha
Published: October 2020

Background: Growing evidence suggests that chronic pain and certain chronic pain conditions may increase risk for cognitive decline and dementia. Objective: In this systematic review, we critically evaluate available evidence regarding the association of chronic pain and specific common chronic pain conditions to subsequent decline in cognitive function, new onset cognitive impairment (CI), and incident Alzheimer’s disease and related dementias (ADRD); outline major gaps in the literature; and provide a preliminary conceptual model illustrating potential pathways linking pain to cognitive change. Methods: To identify qualifying studies, we searched seven scientific databases and scanned bibliographies of identified articles and relevant review papers. Sixteen studies met our inclusion criteria (2 matched case-control, 10 retrospective cohort, 2 prospective cohort), including 11 regarding the association of osteoarthritis (N = 4), fibromyalgia (N = 1), or headache/migraine (N = 6) to incident ADRD (N = 10) and/or its subtypes (N = 6), and 5 investigating the relation of chronic pain symptoms to subsequent cognitive decline (N = 2), CI (N = 1), and/or ADRD (N = 3). Results: Studies yielded consistent evidence for a positive association of osteoarthritis and migraines/headaches to incident ADRD; however, findings regarding dementia subtypes were mixed. Emerging evidence also suggests chronic pain symptoms may accelerate cognitive decline and increase risk for memory impairment and ADRD, although findings and measures varied considerably across studies. Conclusion: While existing studies support a link between chronic pain and ADRD risk, conclusions are limited by substantial study heterogeneity, limited investigation of certain pain conditions, and methodological and other concerns characterizing most investigations to date. Additional rigorous, long-term prospective studies are needed to elucidate the effects of chronic pain and specific chronic pain conditions on cognitive decline and conversion to ADRD, and to clarify the influence of potential confounding and mediating factors.
A Novel Computational Proxy for Characterizing Cognitive Reserve in Alzheimer’s Disease
Authors: Zhang Ying ,   for the Alzheimer’s Disease Neuroimaging Initiative, Hao Yajing , Li Lang , Xia Kai , Wu Guorong
Published: October 2020

Background: Although the abnormal depositions of amyloid plaques and neurofibrillary tangles are the hallmark of Alzheimer’s disease (AD), converging evidence shows that the individual’s neurodegeneration trajectory is regulated by the brain’s capability to maintain normal cognition. Objective: The concept of cognitive reserve has been introduced into the field of neuroscience, acting as a moderating factor for explaining the paradoxical relationship between the burden of AD pathology and the clinical outcome. It is of high demand to quantify the degree of conceptual cognitive reserve on an individual basis. Methods: We propose a novel statistical model to quantify an individual’s cognitive reserve against neuropathological burdens, where the predictors include demographic data (such as age and gender), socioeconomic factors (such as education and occupation), cerebrospinal fluid biomarkers, and AD-related polygenetic risk score. We conceptualize cognitive reserve as a joint product of AD pathology and socioeconomic factors where their interaction manifests a significant role in counteracting the progression of AD in our statistical model. Results: We apply our statistical models to re-investigate the moderated neurodegeneration trajectory by considering cognitive reserve, where we have discovered that 1) high education individuals have significantly higher reserve against the neuropathology than the low education group; however, 2) the cognitive decline in the high education group is significantly faster than low education individuals after the level of pathological burden increases beyond the tipping point. Conclusion: We propose a computational proxy of cognitive reserve that can be used in clinical routine to assess the progression of AD.
Performance evaluation of compressive sensing matching pursuit backtracking iterative hard thresholding algorithm for improving reconstruction
Authors: Ravuri Viswanadham , Terlapu Sudheer Kumar , Nayak S. S.
Published: October 2020

Now-a-days due to advancements in technologies most of the applications in signal processing were using the models based on the sparse signal. Sub optimal strategies were used in these models to estimate the sparsest coefficients. In this work various algorithms were analyzed to address its optimal solutions. The sparsest solution can be found for the linear equations which are under determined. In this work, a complete study is carried out based on Compressive Sensing Matching Pursuit Back Tracking Iterative Hard Threshold (CMPBIHT) algorithm in the real-world scenario. As the BIHT algorithm may often fail to converge and its performance seems to be degraded if the conditions fail. To address these challenges, we have modified the BIHT algorithm to guarantee the convergence using the proposed method, even in this regime. Further the proposed CMPBIHT algorithm is evaluated and compared with the state of art techniques and it is observed that the proposed algorithm retains the similarities of the original algorithm. In this proposed model we have adopted the Compressive Sensing (CS) schemes along with Orthogonal Matching Pursuit (OMP). With this proposal we are able to solve the least squares problem for the new residual. We also investigated the reliability in sparse solutions along with compressive sensing techniques while decoding and over complete representations. An extensive research is carried out at the reconstruction side with the fundamental theme of CS, IHT and OMP techniques. The simulation results perform better efficiency at the reconstruction of the Gaussians signals by guaranteeing the productions in the residual error and noise. Further the proposed algorithm performs better at the reconstruction with nominal complexity in each of the iteration computationally.
Research on twin-SIR rumor spreading model in online social network
Authors: Yi Jing , Liu Peiyu , Wang Zhihao , Liu Wenfeng
Published: October 2020

In the study filed of rumor spreading, kill rumor or dispel rumor is very important in order to control rumor spreading and reduce the bad influence of the rumor. In the previous studies, rumor clarification is mostly finished by relying on external media or news reports instead of intervening and controlling from inside the network, which causes that the speed of rumor clarification is far lower than the speed of rumor spreading, and it is not ideal for the effect of rumor clarification. In this paper, a new Twin-SIR spreading model is proposed, in which, a rumor clarification node named as “rumor dispeller” with the spreading ability is introduced. The rumor dispeller is involved in the spreading process of the model together with the rumor spreader to control the spreading of rumor and thus to achieve the purpose of clarifying rumor. At the same time, during the process of building the model, we also apply the traditional media as a spreading parameter to the spreading process of the model. We built the mean-field equation of the model and then implemented further analysis of the model on homogeneous networks and heterogeneous networks. Through experimental simulations, the “rumor dispeller” was found to have the ability to reduce the spread of rumor spreading, and that the selection of the initial “rumor dispeller” node can affect the effect of rumor spreading, and at the same time, the external media have an important influence on rumor clarification. These conclusions have a new function for guiding us to study the mechanism of rumor spreading.
Iterative learning control algorithm for optimal path industrial manipulator
Authors: Lu Zhengjie
Published: October 2020

In this paper, a two-degree-of-freedom manipulator is taken as the research object, and the relevant dynamic model is established, the iterative learning controller is designed, and the trajectory tracking control of the manipulator is carried out by using the iterative learning control algorithm. Iterative learning control (ILC) has a better control effect on a two-degree-of-freedom manipulator with repetitive motion characteristics for its non-linear system. In the case of disturbance, a PD-type iterative learning control law is designed. With the increasing number of iterations of the system, the required correction interval is shortened by modifying the gain matrix in real time in the interval, so as to accelerate the convergence speed. The simulation results show that the convergence speed of PD-type ILC is faster than that of P-type ILC, and the convergence effect of PD-type ILC with disturbance is better than that of traditional disturbance-type ILC. The industrial robot system is guaranteed to have good dynamic performance.
Company employee quality evaluation model based on BP neural network
Authors: Tseng Tsui-Yuan , Luo Qinglan
Published: October 2020

With the development of science and technology and the continuous improvement of people’s living standards, the traditional staff quality evaluation can no longer meet the needs of production and life, and the BP neural network has also appeared many shortcomings in practical applications. This article mainly studies the company’s employee quality evaluation model based on BP neural network. This article first collects and preprocesses employees’ usual performance data, and then predicts their corresponding quality scores based on BP neural network. And use MATLAB software to simulate the constructed prediction model, and finally develop a complete set of employee performance data prediction system based on this model, so as to achieve the purpose of employee quality evaluation. The experimental data in this paper shows that the average relative error of model training output tends to be stable. After the 40th iteration of training, the average relative error of model training can reach 0.0128. After the prediction model training was completed, 15 sets of verification samples were used to verify the model. The verification results found that the average relative error of the model converged, so the model did not overfit. Experimental results show that although BP neural network has two excellent functions of adaptive and nonlinear approximation, it can solve the complex nonlinear relationship between normal performance and overall performance. But BP neural network still has its own inevitable shortcomings in some aspects. For example the redundancy between the employee scoring sample data; the problem that the input variable dimensionality is too high, which leads to the low efficiency of the model; the fuzzy neural network is easy to fall into the local optimum and it is difficult to find the global optimum.
Cloud computing resource scheduling based on improved ANN model takeaway order volume forecast
Authors: Lang Kun , Zhao Yuxin
Published: October 2020

In recent years, with the change of people’s living habits, food delivery has become more and more popular. Along with this is the rapid growth of takeaway distribution. It is significant to improve the accurate prediction of the take-out order quantity since it can reduce unnecessary losses for the merchants. The Cloud computing system is the main platform for processing massive data. Applying cloud computing resource scheduling to the forecasting of takeaway orders will greatly help merchants. The research purpose of this paper is to study the cloud computing resource scheduling based on improved ANN model takeaway order volume prediction. This paper improves the ANN model and proposes a cloud computing resource scheduling method based on improved ANN model takeaway order volume prediction. An experimental test was performed to verify the reliability of the proposed method. The results of this study show that the proposed method can accurately predict takeaway orders and contributes to reasonable resource scheduling.
Big data visualization of the quantification of influencing factors and key monitoring indicators in the refined oil products market based on fuzzy mathematics
Authors: Zhu Yu , Liu Xiantao
Published: October 2020

In this paper, an in-depth study on the quantification of influencing factors and big data visualization of key monitoring indicators in the refined oil products market is carried out through fuzzy mathematical methods, and a system for quantifying influencing factors and big data visualization of key monitoring indicators in the refined oil products market with the fuzzy mathematical background is designed and implemented. The system realizes the functions of flow visualization, attack visualization, target tracking visualization, etc., and optimizes the system from the perspectives of performance and visualization effect. It achieves the display and interaction of multi-dimensional data in space and time with multiple views, angles, and dimensions. Data tagging and data correlation for key aspects of the product production process are realized through fuzzy mathematics and other means, and a quality traceability system for the manufacturing industry is realized on this basis, through which the data of some key stages of the product production process can be displayed retrospectively. The study proves that the business model of refined oil logistics platform based on value network can significantly improve the user’s perceived value and benefit all parties within the value network, realizing the complementary advantages of refined oil production enterprises and logistics platform companies, improving the efficiency of enterprise’s logistics and maximizing the profit of each subject within the value network to achieve profitability for all parties.
Reflection of government performance from foreign exchange market through engineered mechanism using conditional copula model
Authors: Khan Y. A. , Chu Y. M. , Abbas S. Z.
Published: October 2020

This paper investigates governments’ performance in the country. We achieved this objective differently. We employed an inverse method of assessment, with the utilization of factor copula modeling technique, to study the dependence relationship of exchange rates returns as auxiliary variables, the performance of political and army government tenures in the country in the last two decades are evaluated. Through factor analysis, common factors for the exchange rate are obtained. The analysis shows that conditioned on the common factors, the dependence amongst the elected currencies are strongly asymmetric in most of the tenures except the term of Pakistan Muslim League-Nawaz, and condition on common factor Clayton copula demonstrating hypothesis is more suitable. However, we perceive high left tail reliance among foreign currency returns during Pakistan Muslim League-Nawaz tenure, and the condition on common factor Gumbel copula molding assumption is more appropriate. We are signifying the foulest government performance in the country among all occupancies under consideration.
Effect of robot-assisted gait training on motor functions in adolescent and young adult patients with bilateral spastic cerebral palsy: A randomized controlled trial
Authors: Klobucká Stanislava , Klobucký Robert , Kollár Branislav
Published: October 2020

BACKGROUND: Robot-assisted gait training (RAGT) allows an intensive gait training in patients with cerebral palsy (CP). There are few evidences on the effectiveness of RAGT in adults with CP. OBJECTIVE: To assess the effect of RAGT on gross motor function in adolescent and adult patients with bilateral spastic CP and to compare the effect of RAGT with conventional kinesiotherapy. METHODS: Forty-seven patients (mean age 21.2±5.33 years) with bilateral spastic CP were divided into two groups. Twenty-one patients underwent 20 therapeutic units of RAGT and 26 patients underwent 20 therapeutic units of conventional therapy/training (CON). The following parameters were evaluated before (V1) and after the therapy (V2): dimension A (lying and rolling), B (sitting), C (crawling and kneeling), D (standing), E (walking, running and jumping) of the Gross Motor Function Measure (GMFM-88). In patients in the experimental RAGT group, these parameters were also evaluated 3–4 months later (V3). RESULTS: Comparing the mean improvements in endpoints in both groups (RAGT vs. CON) after 20 TUs, we observed the statistically significant difference (p < 0.001) and large effect size in all GMFM dimensions and total GMFM improvement in favour of the RAGT group. In RAGT patients, the improvement persisted even 3–4 months after RAGT (p < 0.001). CONCLUSION: We demonstrated that the intensive RAGT regimen is more effective than conventional therapy in terms of improvements in gross motor functions in adolescent and adult patients with bilateral spastic CP.
Psychometric characteristics of the BEITI – an assessment scale of daily functioning
Authors: Frenkel Maya , Eckstein Nava , Frenkel-Toledo Silvi
Published: October 2020

BACKGROUND: BEITI is a comprehensive test of a wide range of basic and extended daily functioning. It was developed for physiotherapists in the community to enable increased sensitivity in detecting changes in the functioning of patients with different diagnoses. BEITI was found to be valid, reliable and valuable in terms of the time and effort involved. Its clinical properties as a measurement in inpatients with brain lesions is yet to be determined. OBJECTIVE: To translate BEITI from Hebrew into English, and explore its psychometric properties in inpatients with brain lesions in the subacute phase. METHODS: The admission and discharge records of 131 patients hospitalized in a neurological rehabilitation department were reviewed retrospectively. The internal consistency, responsiveness, and floor and ceiling effects of BEITI were assessed. RESULTS: Excellent internal consistency was found for BEITI at admission and discharge (Cronbach’s α ≥ 0.964). BEITI had high effect sizes (effect size = 1.11, standardized response mean = 1.54). Significant changes over time were found for the BEITI (p < 0.001). No floor or ceiling effects were observed. CONCLUSIONS: BEITI is a reliable and responsive scale for assessing basic and extended daily functioning in inpatients with brain injuries in the subacute phase.
Effect of trunk stabilization exercise on abdominal muscle thickness, balance and gait abilities of patients with hemiplegic stroke: A randomized controlled trial
Authors: Lee Jiyeon , Jeon Jeongwoo , Lee Dongyeop , Hong Jiheon , Yu Jaeho , Kim Jinseop
Published: October 2020

BACKGROUND: Trunk stability has been identified as an important prerequisite of functional movement. OBJECTIVE: To investigate the effectiveness of core muscle contraction training on abdominal muscle thickness, balance, and gait ability in stroke patients. METHODS: Thirty patients with stroke were randomly assigned to two experimental groups and a control group. All groups received conventional therapeutic exercise program for six weeks. The experimental groups additionally trained trunk stability exercise with abdominal hollowing or bracing maneuvers within training time. Primary outcome measures were evaluated abdominal muscle thickness using the sonography. Secondary outcome measures were evaluated by the Functional Reach Test (FRT), Berg Balance Scale (BBS), 10-meter walk test (10MWT), and Timed Up and Go test (TUG). RESULTS: Compared with the control group, the effect of trunk stability training for the experimental groups on the abdominal muscles thickness change was observed (p < 0.05). The values in balance and gait measures, BBS, FRT, 10MWT, and TUG, showed significant improvement after the intervention periods (p < 0.05), although no significant differences were found in scores of gait and balance scales among groups. CONCLUSIONS: Trunk stability training with selective abdominal muscles activation has beneficial effects on abdominal muscles, balance, and mobility in stroke patients. Our findings might provide support for introducing stroke rehabilitation.
Efficacy of task-specific circuit training on physical activity levels and mobility of stroke patients: A randomized controlled trial
Authors: Martins Júlia Caetano , Nadeau Sylvie , Aguiar Larissa Tavares , Scianni Aline Alvim , Teixeira-Salmela Luci Fuscaldi , De Morais Faria Christina Danielli Coelho
Published: October 2020

BACKGROUND: Impaired mobility is related to low physical activity (PA) levels observed after stroke. Therapeutic approaches, such as task-specific circuit training (TSCT), used to improve mobility in individuals with stroke, could also improve PA levels. OBJECTIVE: To investigate the efficacy of TSCT, focused on both upper (UL) and lower (LL) limbs, in improving PA levels and mobility (primary outcomes), as well as muscle strength, exercise capacity, and quality of life (secondary outcomes) in subjects with stroke. METHODS: A randomized controlled trial with 36 subjects with chronic stroke was conducted. Experimental group: TSCT, involving both UL and LL. Control group: global stretching, memory exercises, and education sessions. Both groups received 60 minute sessions/week over 12 weeks. Outcomes were measured at baseline, post-intervention and 16 week follow-up. RESULTS: No changes were found for primary and secondary outcomes (0.11≤p≤0.99), except for quality of life, which improved in the experimental group post-intervention and 16 week follow-up (p = 0.02). CONCLUSION: TSCT focused on both UL and LL was not effective on PA levels and mobility of individuals with chronic stroke, however, improvements in quality of life were observed. Since this is the first study to investigate this combined training aimed at improving PA levels, future studies are necessary to better understand the impact of this type of intervention.
Las empresas ante la potenciación de los recursos humanos
Authors: Pozón Lobato Enrique
Published: October 2020

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Movilidad Social del Empresariado Español
Authors: Miguel Amando De , Linz Juan José
Published: October 2020

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Criterios de Estratificación Social
Authors: Negre Pedro
Published: October 2020

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Evolución Reciente del Endeudamiento Externo de los Bancos Colombianos - Septiembre de 2020
Authors:   Departamento de Estabilidad Financiera del Banco de la República
Published: October 2020

El objetivo de este informe es describir la evolución reciente de las líneas de crédito en moneda extranjera de los bancos colombianos y presentar los principales resultados de la última encuesta de endeudamiento externo y cupos, la cual fue aplicada por el Departamento de Estabilidad Financiera del Banco de la República a una muestra representativa de bancos comerciales que tienen líneas de crédito en moneda extranjera.
Relationship Between Menarche Age and Body Mass Index (IMT) Youth in Palembang City
Authors: Linardi Felicia , Aditiawati  , Minerva Riani Kadir
Published: October 2020

AbstractConcern regarding secular trend of declining age of menarche has increased in the last few decades. Prevalence ofchildhood and adolescents obesity in Indonesia has also increased lately while some studies suggest that increasedbody mass index associates with the early onset of puberty which known to be the risk factor of many healthproblems. This study aims to investigate whether age of menarche is associated with body mass index in adolescents inPalembang. Sample of this cross sectional designed study was elementary and junior high school girls from 8 schools inPalembang taken with stratified random sampling. A total of 388 respondents met the inclusion criteria. Age ofmenarche and body mass index got from the questionnaire and anthropometric examination were analysed using Chi-square test. Out of 388 respondents, 49.5% experienced menarche at the earlier age than the mean age of menarcheof 12.36 years and 20.1% were classified as overweight and obese. The average menarcheal age of overweight andobese respondents was earlier than those classified as normal and underweight. This study proved that there is ahighly significant association between age of menarche and body mass index with the p-value of 0.000 (Chi-squaretest). There is a highly significant association between body mass index during peripubertal period and the age ofmenarche. Strict monitoring on body mass index of elementary and junior high school girls is necessary to preventearly puberty.
Features of interrogation of minors who are victims of violence
Authors: Мілорадова Н. Е. , Пашко Н. О.
Published: October 2020

The main provisions on the organization and conduction of interrogation of minors who are victims of violence have been revealed. The concept of physical, sexual and psychological violence against a child has been studied. The features of interrogation of minors who are victims of violence and their significance in criminal proceedings have been theoretically analyzed. The author has determined the subject matter, object and tasks of interrogation of minors and features of the impact of violence on the development of a child and evidence provided by this child.

Despite the large number of works focused on the study of various aspects of minors participation in different investigative actions, the legal and psychological literature does not sufficiently describe the psychological features of the interrogation of minors and does not fully analyze the factors that may affect the juvenile’s testimony while conducting such an investigative action as the interrogation.

The author has emphasized the expediency of conducting investigative (search) actions against children, based on the principles of child-friendly justice (participation of the child, ensuring the best interests of the child, dignity, protection against discrimination, rule of law).

The author has analyzed the algorithm of interrogation of a child based on the use of the following formula: “safe place + safe adult = safe child”; has provided recommendations to take into account the psychological and organizational features of different phases of the child’s interviewing; formulation of questions for minors who are victims of violence according to age and their psycho-emotional state. Examples of formulating the questions during the interviewing of children of preschool, primary school and adolescence age have been provided.

It has been noted that consideration of the described psychological features during the interrogation (interviewing) of children who are victims of violence, will reduce the protective mechanisms of the psyche, minimize re-traumatization of the child and increase the effectiveness of the interrogation.
Legal principles of counteraction to corruption and organized crime and the place of administrative and legal regulation among them
Authors: Вороний О. О.
Published: October 2020

Based on the analysis of the current domestic and international legislation, the author has provided characteristics of the legal principles for combating corruption and organized crime.

It has been established that the legal principles for combating corruption and organized crime covers currently a large number of regulatory acts of international and national importance; it has been emphasized that a key place among them belongs to administrative and legal regulation.

It has been found out that administrative and legal regulation is a form of legal influence on public relations, which is carried out on the basis of the norms of administrative branch of law. Thus, this legal influence operates in the field of public relations that arise as a result of the activities of public law entities, in particular public authorities. Besides, administrative and legal regulation is, first of all, the system of norms that regulate organizational and administrative issues, aspects of the division of competence of public law entities and their legal relationship.

The emphasis has been placed on the fact that if we consider the system of legal principles for combating corruption and organized crime, they mostly consist of the rules of administrative law, since they regulate organizational forms of combating corruption and organized crime as a special activity of public authorities, determine the competence of each of the subject of combating corruption and organized crime, establish structural and system aspects of such activities, establish features of control and supervision over the process of its implementation, etc. It has been established that administrative and legal regulation is dominant in the system of legal principles for conducting activities to combat corruption and organized crime in Ukraine.
DN Testing as a Branch of Forensic Technology: Problems of Formation and Directions of Development
Authors: Степанюк Р. Л. , Перлін С. І.
Published: October 2020

The authors of the article have studied the problems and perspectives of the formation of specific branch of forensic technology, which is devoted to DNA analysis in order to solve the tasks arising in criminal proceeding. Particular attention has been paid to the lack of a corresponding component in the domestic system of forensic technology, unlike the forensic science of foreign countries. The necessity of development of forensic DNA analysis as an independent branch of forensic technology has been argued. It is confirmed by the following main arguments: the methodology of this field of research is based on the theory of forensic identification; its objects are traces of human and other living organisms; DNA analysis technologies are developed using the achievements of different sciences and adapted to solve problems of crime detection and investigation; they are aimed to ensuring the activities of law enforcement agencies in counteracting crime; the scope of DNA analysis application in crime combating should not be limited to forensic activities; legislative regulation of collecting and using personal genetic data is essential; DNA analysis technologies in terms of practical significance and fundamental scientific basis exceed all other branches of forensic technology. The authors have offered to define forensic DNA analysis as the branch of forensic technology that studies individual genetic characteristics of living organisms contained in their DNA, in order to identify them and solve diagnostic tasks in the detection and investigation of criminal offenses. Its structure has been determined. The authors have provided perspective development directions of forensic DNA analysis: ensuring the appropriate state of legislative regulation of relations in the field of selection and use of personal genetic information; implementation of effective means and methods of detection and removal of biological traces and samples; improvement of methods of forensic DNA testing; formation of recommendations concerning the peculiarities of using DNA analysis results for proving; development of the latest technologies of forensic DNA analysis.
The genesis of forensic research of documents as the branch of forensic technology
Authors: Сезонов В. С.
Published: October 2020

The history of the falsification of various documents for illegal purposes accompanies the entire history of human civilization, so the study of the evolution of methods of documenting information and related methods of forgery is one of the methods of improving forensic knowledge. The examination of documents similarly has a long history and is directly related to the emergence and spread of writing.

At the present stage of development of forensic document research, the achievements of various sciences are actively used to reveal the patterns in the field of forensic technology and its improvement. In particular, the study of the anatomical characteristics of writing and motor skills during the analysis of certain elements of handwriting; physiological processes that form the basis of movement control and reproduce written features or their combinations. The coordination of movements in the distribution of manuscripts according to the pace of writing is separately studied. Factors influencing the formation of written speech are determined by conducting experiments. Internal and external factors are taken into account, which allow to reconstruct the psycho-physiological features of the person who wrote the document, without which the establishment of its authorship is extremely problematic. Data of physiology and psychology help in the process of substantiating the stability of handwriting elements, drawing parallels between psycho-physiological characteristics of a person and certain graphic features.

Considering the acquired historical experience, modern forensic research can be divided into three categories: 1) handwriting, where the main purpose is to establish the executor of the document; 2) auto-research – finding out the authorship of the text of the document; 3) technical and forensic, which allow to accurately establish the remaining components of the document.

Forensic examination of documents has passed a long way in historical evolution. In its modern form, it was developed in the second half of the XX century due to a combination of theoretical principles and special methods borrowed from the natural and technical sciences. It allowed to determine as accurately as possible the technical features of producing a document or its part thereof, identifying the used tools and materials.