bluuebunny/crossref_metadata_2025 huggingface dataset:
The comparison of Zn(II) arginine dithiocarbamate cytotoxicity in T47D breast cancer and fibroblast cells
Authors: Prihantono Prihantono , Irfandi Rizal , Raya Indah
Published: May 2021

BACKGROUND: With essential metals being studied and developed as anticancer agents, this study aims to explore the anticancer activity of Zn(II) arginine dithiocarbamate in the T47D and fibroblast cell lines. METHOD: The Zn(II) arginine dithiocarbamate complex was prepared by the in situ method and characterized using infra-red spectroscopy, melting point, X-ray fluorescence, and X-ray diffraction instruments. The complex compound was tested for its cytotoxicity to the T47D breast cancer and fibroblast cell lines. RESULTS: The cytotoxicity of the Zn(II) arginine dithiocarbamate complex to the T47D breast cancer cell line obtained IC50 = 3.16 μg/mL, while cisplatin obtained IC50 = 28.18 μg/mL. The cytotoxicity of the Zn(II) arginine dithiocarbamate complex to fibroblast cells obtained IC50 = 8709.63 μg/mL. CONCLUSION: The Zn(II) arginine dithiocarbamate complex has increased active cytotoxicity compared to cisplatin in inducing morphological changes in the T47D breast cancer cell line and is relatively non-toxic to fibroblast cells.
The expression of programmed death-ligand 1 and its association with histopathological grade, stage of disease, and occurrence of metastasis in breast cancer
Authors: Pranoto Agung Sindu , Haryasena Haryasena , Prihantono Prihantono , Rahman Septiman , Sampepajung Daniel , Indra Indra , Syamsu Salman Ardy , Sampepajung Elridho , Nelwan Berti Julian , Faruk Muhammad
Published: May 2021

INTRODUCTION: Programmed death ligand 1 (PD-L1) plays a role in tumor escape and progression by inactivating T lymphocytes. The aim of the study reported here was to determine the relationship between the expression of PD-L1 and histopathological grade, stage of disease, and the occurrence of metastasis in breast cancer. METHODS: The observational cross-sectional study involved analyzing the expression of PD-L1 by immunohistochemistry. RESULTS: PD-LI was expressed in 43 of 60 patients with breast cancer (71.6%), mostly with a moderate histopathological grade (58.3%) and at an advanced stage (50%). Associations between the expression of PD-L1 and histopathological grade (p = 0.011), stage of disease (p = 0.009), and the occurrence of metastasis (p = 0.01) were significant, with an odds ratio of 5. CONCLUSION: The associations between the expression of PD-L1 and histopathological grade, disease stage, and occurrence of metastasis were all significant in cases of breast cancer in the sample. Those findings suggest that the expression of PD-L1 increases the progression of breast cancer.
The effect of apis Dorsata honey as a complementary therapy to interleukin-6 (IL-6) levels and T lymphocytes of post-chemotherapy breast cancer patients
Authors: Syam Yuliana , Prihantono Prihantono , Majid Sintawati , Sjattar Elly L. , Kana Mery , Usman Andi Nilawati
Published: May 2021

BACKGROUND: The overproduction of interleukin-6 (IL-6) in breast cancer cases can aggravate metastases. In comparison, the production of T lymphocytes plays a role in suppressing the development of tumor cells. Honey as a complementary therapy is expected to reduce the overproduction of IL-6 and facilitate the production of T lymphocytes in breast cancer cases. OBJECTIVE: This study aims to determine the effect of Dorsata honey (DH) as a complementary therapy to IL-6 levels and T lymphocytes of post-chemotherapy in breast cancer. METHODS: This study was a quasi-experimental approach that employed a pretest-posttest group control design. As many as 30 post-chemotherapy breast cancer patients at the Central Hospital in Eastern Indonesia were randomly selected into a control group of 15 participants. Additionally, an intervention group of 15 participants was given DH orally three times a day at a dose of 15 ml. The blood sample was taken two times, day 0 of the chemotherapy and day 16 (post-chemotherapy). The level of IL-6 was measured by ELISA, while the data were analyzed by Wilcoxon, independent T-test, and Mann–Whitney test. RESULTS: The results showed that DH did not significantly affect IL-6 levels (p = 0.17). However, there was an increase in T lymphocyte levels with statistically significant differences (p = 0.01) in intervention groups. There was no difference in Il-6 and T lymphocyte levels between the intervention and control groups (p > 0.05). CONCLUSIONS: Il-6 levels tend to be constant in the intervention group. However, there is a significant increase in the T lymphocyte levels which can indirectly increase the immune system and inhibit tumor cell growth in patients with breast cancer.
Mild Microglial Responses in the Cortex and Perivascular Macrophage Infiltration in Subcortical White Matter in Dogs with Age-Related Dementia Modelling Prodromal Alzheimer’s Disease
Authors: Thomsen Barbara Blicher , Madsen Cecilie , Krohn Katrine Tækker , Thygesen Camilla , Schütt Trine , Metaxas Athanasios , Darvesh Sultan , Agerholm Jørgen Steen , Wirenfeldt Martin , Berendt Mette , Finsen Bente
Published: May 2021

Background: Microglia contribute to Alzheimer’s disease (AD) pathogenesis by clearing amyloid-β (Aβ) and driving neuroinflammation. Domestic dogs with age-related dementia (canine cognitive dysfunction (CCD)) develop cerebral amyloidosis like humans developing AD, and studying such dogs can provide novel information about microglial response in prodromal AD. Objective: The aim was to investigate the microglial response in the cortical grey and the subcortical white matter in dogs with CCD versus age-matched cognitively normal dogs. Methods: Brains from aged dogs with CCD and age-matched controls without dementia were studied. Cases were defined by dementia rating score. Brain sections were stained for Aβ, thioflavin S, hyperphosphorylated tau, and the microglial-macrophage ionized calcium binding adaptor molecule 1 (Iba1). Results were correlated to dementia rating score and tissue levels of Aβ. Results: Microglial numbers were higher in the Aβ plaque-loaded deep cortical layers in CCD versus control dogs, while the coverage by microglial processes were comparable. Aβ plaques were of the diffuse type and without microglial aggregation. However, a correlation was found between the %Iba1 area and insoluble Aβ 42 and N-terminal pyroglutamate modified Aβ(N3pE)-42. The %Iba1 area was higher in white matter, showing phosphorylation of S396 tau, versus grey matter. Perivascular macrophage infiltrates were abundant in the white matter particularly in CDD dogs. Conclusion: The results from this study of the microglial-macrophage response in dogs with CCD are suggestive of relatively mild microglial responses in the Aβ plaque-loaded deep cortical layers and perivascular macrophage infiltrates in the subcortical white matter, in prodromal AD.
Handwriting in Alzheimer’s Disease
Authors: Delazer Margarete , Zamarian Laura , Djamshidian Atbin
Published: May 2021

Background: Agraphia is a typical feature in the clinical course of Alzheimer’s disease (AD). Objective: Assess the differences between AD and normal aging as regards kinematographic features of handwriting and elucidate writing deficits in AD. Methods: The study included 23 patients with AD (78.09 years/SD = 7.12; MMSE 21.39/SD = 3.61) and 34 healthy controls (75.56 years/SD = 5.85; MMSE 29.06/SD = 0.78). Both groups performed alphabetical and non-alphabetical writing tasks. The kinematographic assessment included the average number of inversions per stroke (NIV; number of peaks in the velocity profile in a single up or down stroke), percentage of automated segments, frequency (average number of strokes per second), writing pressure, and writing velocity on paper. Results: A total of 14 patients showed overt writing difficulties reflected by omissions or substitutions of letters. AD patients showed less automated movements (as measured by NIV), lower writing velocity, and lower frequency of up-and-down strokes in non-alphabetical as well as in alphabetical writing. In the patient group, Spearman correlation analysis between overt writing performance and NIV was significant. That means patients who had less errors in writing a sentence showed a higher automaticity in handwriting. The correctness of alphabetical writing and some kinematographic measures in writing non-alphabetical material reached excellent diagnostic values in ROC analyses. There was no difference in the application of pressure on the pen between patients and controls. Conclusion: Writing disorders are multi-componential in AD and not strictly limited to one processing level. The slow and poorly automated execution of motor programs is not bound to alphabetical material.
An urban metro network-based method to evaluate carbon emission and distribution cost of express delivery
Authors: Guo Junhua , Xiao Xiaofang , Ye Yutao , Yan Lixin
Published: May 2021

A novel green delivery method for express delivery based on the urban metro network, referred to as Green metro express delivery (GMED), is presented. A multi-objective mathematical programming model is first proposed to maximize the search for the best transportation costs and lowest carbon emissions. To solve the GMED model e-ciently, a two-layer coding method is used to encode the path and the non-dominated sorting genetic algorithm II (NSGA-II) is adopted. Finally, a numerical experiment was conducted with Ningbo Metro Network as a case to prove the effectiveness and stability of NSGA-II in solving the GMED model. The result shows that: (a) Compared with the vehicle express delivery method (VED), GMED has lower carbon emissions and vehicle mileage. (b) For the same quantity of express delivery, the transportation costs of GMED and VED have their own advantages over different transportation distances. (c) For delivery distances with the same transportation cost, the lager the quantity of express delivery, the lower the transportation cost of GMED compared to VED.
Transformations and information granularity of knowledge structures in set-based granular computing
Authors: Du Wen Sheng
Published: May 2021

Granular computing is a relatively new platform for constructing, describing and processing information or knowledge. For crisp information granulation, the universe is decomposed into granules by binary relations on the universe, say, preorder, tolerance and equivalence relations. A knowledge structure is composed of all information granules induced by a relation that corresponds to the granulation. This paper establishes a novel theoretical framework for the measurement of information granularity of knowledge structures. First, two new relations between knowledge structures are introduced through the use of their respective Boolean relation matrices, where the granular equality relation is defined based on an orthogonal transformation with the transformation matrix being a permutation matrix, and the granularly finer relation is presented by combining the classical finer relation and the orthogonal transformation. Then, it is demonstrated that the simplified knowledge structure base with the granularly finer relation is a partially ordered set, which can be represented by a Hasse diagram. Subsequently, an axiomatic definition of information granularity is proposed to satisfy the constraints regarding these two relations. Moreover, a general form of the information granularity is given, and some existing measures are proved to be its special cases. Finally, as an application of the proposed measure, the attribute significance measure is developed based on the information granularity.
Dynamic model estimating and designing controller for the 2-DoF planar robot in interaction with cable-driven robot based on adaptive neural network
Authors: Bahrami Vahid , Kalhor Ahmad , Masouleh Mehdi Tale
Published: May 2021

This study intends to investigate the dynamic model estimation and the design of an adaptive neural network based controller for a passive planar robot, performing 2-DoF motion pattern which is in interaction with an actuated cable-driven robot. In fact, the main goal of applying this structure is to use a number of light cables to drive serial robot links and track the desired reference model by the robot’s end-effector. The under study system can be used as a rehabilitation setup which is helpful for those with arm disability. In this way, upon applying sliding mode error dynamics, it is necessary to determine a vector that contains the matrices related to the robot dynamics. However, finding these matrices requires the use of computational approaches such as Newton-Euler or Lagrange. In addition, since the purpose of this paper is to express comprehensive methods, so with increasing the number of links and degrees of freedom of the robot, finding the dynamics of the robot becomes more difficult. Therefore, the Adaptive Neural Network (ANN) with specific inputs has been used for estimation unknown matrices of the system and the controller design has been performed based on it. So, the main idea in using an adaptive controller is the fact there is no pre-knowledge for the dynamic modeling of the system since the human arm could have different dynamic properties. Hence, the controller is formed by an ANN and robust term. In this way, the adaptation laws of the parameters are extracted by Lyapunov approach, and as a result, as aforementioned, the asymptotic stability of the whole of the system is guaranteed. Simulation results certify the efficiency of the proposed method. Finally, using the Roots Mean Square Error (RMSE) criteria, it has been revealed that, in the presence of bounded disturbance with different amplitude, adding the robust term to the controller leads to improve the tracking error about 34% and 62%, respectively.
A framework of decision making based on bipolar fuzzy competition hypergraphs
Authors: Shahzadi Sundas , Rasool Areen , Sarwar Musavarah , Akram Muhammad
Published: May 2021

Bipolarity plays a key role in different domains such as technology, social networking and biological sciences for illustrating real-world phenomenon using bipolar fuzzy models. In this article, novel concepts of bipolar fuzzy competition hypergraphs are introduced and discuss the application of the proposed model. The main contribution is to illustrate different methods for the construction of bipolar fuzzy competition hypergraphs and their variants. Authors study various new concepts including bipolar fuzzy row hypergraphs, bipolar fuzzy column hypergraphs, bipolar fuzzy k-competition hypergraphs, bipolar fuzzy neighborhood hypergraphs and strong hyperedges. Besides, we develop some relations between bipolar fuzzy k-competition hypergraphs and bipolar fuzzy neighborhood hypergraphs. Moreover, authors design an algorithm to compute the strength of competition among companies in business market. A comparative analysis of the proposed model is discuss with the existing models such bipolar fuzzy competition graphs and fuzzy competition hypergraphs.
Wearable energy efficient fitness tracker for sports person health monitoring application
Authors: Huang Yongyue , Hu Min , Muthu BalaAnand , Gayathri R.
Published: May 2021

Continuous evaluation of biological and physiological metrics of sports personalities, evaluating general health status, and alerting for life-saving treatments, is supposed to enhance efficiency and healthy performance. Wearable devices with acceptable form factors compact, flexibility, minimal power consumption, etc., are needed for continuous monitoring to avoid affecting everyday operations, thereby retaining functional effectiveness and consumer satisfaction. This research focuses on the acceleration tracker for particularizing the work. Acceleration data is typically collected on battery-powered sensors for activity detection, referring to an exchange between high-precision detection and energy-efficient processing. From a feature selection perspective, the paper explores this trade-off. It suggests an Energy-Efficient Behavior Recognition System with a comprehensive energy utilization model and the Multi-objective Algorithm of Particle Swarm Optimization (EEBRS-MPSO). Therefore, using Random Forest (RF) classifiers, the model and algorithm are tested to measure the precision of identification and obtain the task’s best performance with the lowest energy consumption, among other biologically-inspired algorithms. The findings indicate that energy consumption for data storage and data processing is minimized with magnitude relative to the raw data method by choosing suitable groups of attributes. Thus, the platform allows a scalable range of feature clusters that require the authors to provide an adequate power adjustment for given target use.
Energy-efficient IoT based improved health monitoring system for sports persons
Authors: Shan’an Yu , Qin Yunfei
Published: May 2021

Nowadays, wearable technology and the Internet of Things (IoT) are transforming the healthcare sector by refining the way how devices, applications, and people connect and interact with each other. IoT applications in sports are tremendously useful to monitor health and reduce the risk factor. The battery life of wearable and accurate monitoring has been considered a significant challenge in sports medicine. Hence, in this paper, Energy Efficient IoT based Improved Health Monitoring system (EEIoT-IHMS) has been proposed for accurate and continuous sports person’s health monitoring system. This paper determines the optimal set of clusters based on sensor features, in which power usage has been minimized by duty cycling with optimized prediction accuracy. The experimental results demonstrate that the proposed (EEIoT-IHMS) enhances accuracy ratio, improves battery life, and reduces energy consumption compared to other popular methods.
Hybrid fuzzy interface model of sports rehabilitation activities
Authors: Shoujiang Wu
Published: May 2021

At present, the relevant test data and training indicators of athletes during rehabilitation training lack screening and analysis, so it is impossible to establish a long-term longitudinal tracking research system and evaluation system. In order to improve the practical effect of sports rehabilitation activities, this paper successively introduces the matrix normal mixed model and the fuzzy clustering algorithm based on the K-L information entropy regularization and the matrix normal mixed model. Moreover, this paper uses the expectation maximization algorithm to estimate the parameters of the model, discusses the framework, key technologies and core services of the development platform, and conducts certain research on the related technologies of the three-tier architecture. At the same time, according to the actual needs of sports rehabilitation training, this paper designs the functions required for exercise detection and prescription formulation. In addition, this paper analyzes and designs the database structure involved in each subsystem. Finally, this paper designs experiments to verify the performance of the model constructed in this paper. The research results show that the performance of the model constructed in this paper meets the expectations of model construction, so it can be applied to practice.
Improved support vector machine model in the prediction of tuberculosis incidence
Authors: Li Zhikai , Hao Chen
Published: May 2021

Tuberculosis, as a more common infectious disease with serious physical damage to humans, has been relatively vacant in predictive model research. In order to improve the accuracy of pulmonary tuberculosis, this study combined the incidence of tuberculosis, collected data using data collection methods, used a single data model for predictive analysis, and compared with the actual situation. At the same time, through the comparative analysis, the paper draws the shortcomings of the traditional single model algorithm, constructs a combined model for the prediction of tuberculosis, and collects the incidence of tuberculosis. In addition, this paper draws it into a statistical chart, and analyzes its pathological characteristics and the dynamic trend of the onset. Through experimental research, it can be seen that the prediction accuracy of the combined model of this study is high, which can provide theoretical reference for subsequent related research.
Intelligent control of complex traffic conditions based on machine learning
Authors: Li Zhe
Published: May 2021

In order to improve the simulation effect of complex traffic conditions, based on machine learning algorithms, this paper builds a simulation model. Starting from the macroscopic traffic flow LWR theory, this paper introduces the process of establishing the original CTM mathematical model, and combines it with machine learning algorithms to improve it, and establishes the variable cell transmission model VCTM ordinary transmission, split transmission, and combined transmission mathematical expressions. Moreover, this paper establishes a road network simulation model to calibrate related simulation parameters. In addition, this paper combines the actual needs of complex traffic conditions analysis to construct a complex traffic simulation control model based on machine learning, and designs a hybrid microscopic traffic simulation system architecture to simulate all relevant factors of complex road conditions. Finally, this paper designs experiments to verify the performance of the simulation model. The research results show that the simulation control model of complex traffic conditions constructed in this paper has certain practical effects.
Healthcare Utilisation and Satisfaction with Care in Patients with Amyotrophic Lateral Sclerosis - An Observational Study
Authors: Kierkegaard Marie , Gottberg Kristina , Johansson Sverker , Littorin Susanne , Sandstedt Petter , Ytterberg Charlotte , Holmqvist Lotta Widén
Published: May 2021

Background: Patients with amyotrophic lateral sclerosis (ALS) need a large amount of healthcare services. Knowledge on use of and satisfaction with healthcare is, however, scarce. Objective: The objectives were to explore use and satisfaction of healthcare in patients with ALS. Methods: The sample consisted of patients with ALS, recruited from the ALS clinic at the Karolinska University Hospital, Stockholm, Sweden, participating in a three-year observational study. Data on healthcare utilisation were retrieved from the computerised register at Region Stockholm, Sweden. Information regarding disability, contextual factors and satisfaction with care was collected by home visits. Results: Over time, half, or less of the patients used inpatient care, whereas all used outpatient care. Half of all outpatient contacts were with providers of advanced healthcare in the home and one-fifth with allied health professionals. Nurses performing home visits composed the largest proportion of outpatient contacts. A small amount of the utilised outpatient care emerged from the ALS clinic. Patients with severe disease and longer time since diagnosis had fewer contacts with the ALS clinic. Satisfaction with care was in general stable over time with around two-thirds or more of patients being satisfied. Most patients wanted to participate in care planning, but few had. Conclusion: Patients with ALS use hospital-based specialist care and other outpatient care in parallel with many healthcare providers involved. Our findings highlight the need for implementation of person-centred care to improve both coordination of care, care transitions and satisfaction with healthcare services.
Short Pulse and Conventional Deep Brain Stimulation Equally Improve the Parkinsonian Gait Disorder
Authors: Seger Aline , Gulberti Alessandro , Vettorazzi Eik , Braa Hanna , Buhmann Carsten , Gerloff Christian , Hamel Wolfgang , Moll Christian K.E. , Pötter-Nerger Monika
Published: May 2021

Background: Gait disturbances and balance remain challenging issues in Parkinsonian patients (PD) with deep brain stimulation (DBS). Short pulse deep brain stimulation (spDBS) increases the therapeutic window in PD patients, yet the effect on gait and postural symptoms remains unknown. Objective: We assessed the efficacy of spDBS compared to conventional DBS (cDBS) within the subthalamic nucleus (STN) on Parkinsonian gait. Methods: The study was a single-centre, randomized, double-blind, clinical short-term trial. 20 PD patients were studied postoperatively in three different conditions (DBS stimulation switched off (off DBS), spDBS with 40μs pulse width, cDBS with 60μs pulse width) on regular medication. The primary endpoint was the relative difference of gait velocity at self-paced speed during quantitative gait analysis between stimulation conditions. Secondary endpoints were changes of further measures of quantitative gait analysis, Ziegler course, Berg balance scale, FOG questionnaire, MDS-UPDRS, PDQ-39, and HADS. Mixed-model analysis and post-hoc t-tests were performed. Results: Both spDBS and cDBS improved gait velocity at self-paced speed compared to off DBS, however, there was no significant difference between both stimulation modes. Still, 40% of the patients preferred spDBS over cDBS subjectively. Both stimulation modes were equally effective in improving secondary endpoints of gait, balance, motor and non-motor performances. Conclusion: The use of spDBS and cDBS is equally effective in improving gait and balance in PD and might be beneficial in specified cohorts of PD patients.
Investigation of the nuclear magnetic resonance spectra of potassium ions in aqueous solutions and estimation of the magnetic moment of the nucleus 39K
Authors: Neronov Yuryi I. , Pronin Anton N.
Published: May 2021

The problem of increasing the accuracy of determining the magnetic moment of the potassium 39K nucleus, which is used in studies of the norm and pathology of living tissues by nuclear magnetic resonance methods, is considered. The paper presents experimental results for determining the resonance frequency ratio of water protons and 39K nuclei for KCl and KNO3 solutions at concentrations from 0.5 to 2 mol/kg of water. NMR signals from water protons and potassium nuclei were recorded simultaneously, which minimizes random and systematic errors in determining the ratio of the resonance frequencies to units of the eighth sign. When extrapolating the content of potassium salts in water to zero concentrations for single ions in water, it was determined 21.4300226(10). Using the known data for the magnetic moment of the proton and the data for proton shielding in water, we obtained 0.390962111(18). Shielding of potassium ions in water was previously calculated in the work of Antisera and others. When using these data on the shielding of potassium ions in water, the magnetic moment of the potassium core was obtained 0.391471(8). The comparison of the new result for μ(39K) with the data of previous works is discussed.
Development and creation of zeta potential reference material of the particles in a liquid medium
Authors: Belenkii Dmitrii I. , Averkin Dmitry V. , Vishnevetskii Dmitry V. , Khizhnyak Svetlana D. , Pakhomov Pavel M.
Published: May 2021

A comprehensive study to develop and create standard samples of the zeta potential unit of particles in a liquid in accordance with the requirements of GOST ISO 13099-2-2016 in the range of measured values from minus 150 mV to plus 150 mV was carried out. The existing standard samples of zeta potential in Russia and the world have been investigated; the analysis of the applicability of the starting materials and components for the creation of new standard samples has done. Samples based on modified polystyrene latex microspheres, bovine serum albumin and supramolecular systems based on aqueous solutions of L-cysteine, N-acetylcysteine, and silver acetate were considered as promising standard samples of the zeta potential of particles. All studies were carried out on equipment from the State Primary Standard of Dispersed Parameters of Aerosols, Suspensions and Powder Materials GET 163-2020 using the method of electrophoretic light scattering and measuring the pH value. It was found that polystyrene latex microspheres do not correspond to the requirements of the work in terms of developing a set of standard samples. Samples based on suspensions of bovine serum albumin do not correspond to the requirements of GOST ISO 13099-2-2016. Supramolecular systems based on aqueous solutions of L-cysteine, N-acetylcysteine, and silver acetate were proposed as standard samples. Such systems are characterized by the ability to modify the initial potential-determining layer of particles without changing their aggregate stability. Studies of the long-term stability of the developed standard samples of the zeta-potential unit of particles in a liquid have been carried out.
Measuring complex for monitoring carbon dioxide in air
Authors: Ageev Igor M. , Rybin Yuri M.
Published: May 2021

The advantages and disadvantages of infrared and electrochemical gas analyzers for carbon dioxide CO2 are described. The possibility of using conductometric sensors with distilled water for monitoring the CO2 content in the air has been investigated. Two identical measuring systems were manufactured, each containing two open-type conductometric cells, a matching device and a personal computer. With the help of these complexes, experiments were carried out on the simultaneous measurement of the CO2 content in the air in two places (a laboratory room and a building in a forest, located at a distance of 15 km from each other) with deliberately different daily dynamics of the CO2 level change. A special experiment was carried out, which made it possible to obtain an estimate of the inertia of conductometric cells and a conversion factor for the values of CO2 content into standard units of measurement. It is shown that the daily dynamics of changes in the electrical conductivity of distilled water in open cells corresponds to the expected dynamics of changes in the CO2 content in the rooms where the measurements were carried out. The operability of the measuring complex and the possibility of creating on its basis a device for long-term monitoring of the CO2 content in the air mixture of gases has been confirmed. The principal high selectivity of the measuring complex to CO2 in relation to other gases of the atmosphere has been established.
The measurement problem of calibration of measuring instrument under specified conditions
Authors: Levin Sergey F.
Published: May 2021

The problem of calibration of measuring instruments for given conditions based on the correction function is considered as a measurement problem of structural-parametric identification of the calibration diagram. It is shown, that the correction function allows at the first stage to obtain a ratio for correcting the readings, and at the second stage to obtain a corrected measurement result, it is necessary to identify the probability distribution of possible deviations from it. An example of solving the measurement problem of calibration for given conditions is given. Negative aspects of the practice of calibration of measuring instruments are noted: carrying out calibration under normal conditions according to the methods of verification of measuring instruments; presentation of calibration results by tables of joint readings of measuring instruments and standards; the presence in the calculations of the calibration diagram of significant restrictions on the mathematical apparatus of the «Guidelines for the expression of measurement uncertainty», specified by ISO/IEC 31010:2019 “Risk management – Risk assessment techniques”.
Globigen Jump Start usage as a replacer for blood plasma in prestarter feed for piglets
Authors: Prudius T. Y. , Gutsol A. V. , Gutsol N. V. , Mysenko O. O.
Published: May 2021

At the current stage of development of the feed industry a lot of feed additives are used for animal feeding. Everyone knows that period of piglet’s weaning from sows is always the most critical in the process of pigs’ raising. The further result of fattening depends on this period. Therefore, it is important that the diet is adapted to the age of the piglets and the development of their digestive tract. In recent years, either in the world or in Ukraine, the African swine fever (ASF) has become a widespread disease, leading to the decline and closure of a number of pig farms. This prompted the process of safe feed preparation review, and especially the use of a number of make up feed ingredient. The risk group includes porcine blood plasma and its products, which since 2018 have been temporarily banned for use in pig feed in China and a number of European countries. A positive factor in this is the reduction of new outbreaks of this disease. But the lack of blood plasma in prestarter feed for piglets can lead to reduced productivity of piglets due to the lack of animal protein, reduced feed intake, as blood plasma affects the taste of feed. The article presents the results of the feed additive Globigen Jump Start use instead of blood plasma in pre-starter feed for piglets from birth to 42 days of age and in the conditions of industrial inspection. It was found that the replacement of , blood plasma in pre-starter feed for suckling piglets and piglets after weaning for feed additive Globigen Jump Start contributed to an increase in daily intake by 6 g or by 2.6 %. At the same time, the cost of feed per weight gain 1 kg decreased in the experimental group by 7.89 %. As a result of industrial testing when replacing blood plasma with immunological feed additive in the ratio of 42 kg to 2 kg, respectively, has a significant economic impact on the cost of prestarter feed. This has a positive effect on the piglets' eating and digestibility of feed, which is reflected in better average daily gains, final weight and improved feed conversion and piglet safety.
Keynes E O Fenômeno Da Crise
Authors: Pereira Emelson Macedo Martins
Published: May 2021

A Teoria Geral do Emprego, do Juro e do Dinheiro reformulou o entendimento da economia em todo o mundo, apesar de falsas compreensões que envolvem interesses ideológicos acerca do real objetivo de Keynes. Após a crise econômica mundial de 2008, a teoria keynesiana voltou ao centro dos debates. E, erroneamente, sua política é comumente interpretada apenas como um instrumento governamental de contenção à crise. Deste modo, sempre é pertinente fazer um retrocesso à concepção original de sua teoria para entender o papel do Estado no movimento de reestabelecimento ou continuidade do estado de convenções. Dito isso, o presente artigo objetiva investigar as questões relacionadas ao fenômeno da crise do sistema capitalista, no que diz respeito às suas causas, consequências e soluções, utilizando o paradigma keynesiano e suas vertentes como norte desta pesquisa. Trata-se de uma revisão literária descritiva e de cunho quantitativo que, como resultado, verificou o papel supremo do Estado sobre à política fiscal, constatando-se a necessidade de uma rigorosa atuação quanto o controle administrativo econômico do sistema de produção, objetivando o equilíbrio e a estabilidade do mesmo sob um cenário bastante instável.
Educação Inclusiva: Uma Análise Sobre Os Avanços E Os Desafios Enfrentados No Contexto Atual Da Educação Básica No Brasil
Authors: Santos Alessandra Ferreira Dos
Published: May 2021

Neste artigo, propor-se-á uma discussão de cunho teórico sobre os aspectos históricos relevantes sobre a Educação Inclusiva e, a partir desta, verificar-se-á as mudanças ocorridas no sistema público de ensino brasileiro, incentivadas pela luta das pessoas com deficiência e pela criação de legislações que garantem o acesso, a permanência e a aprendizagem de alunos com deficiência nas escolas em salas regulares de ensino. A escola deve ser um ambiente inclusivo, não só em sua estrutura, mas também nas práxis, e, para que isso ocorra, é primordial que haja investimento na formação continuada voltada aos professores. O que é observado, muitas vezes, é um aumento da responsabilização do professor mediante a demanda posta pela inclusão escolar. Atualmente, o Brasil tem criado estratégias que contribuem e valorizam os alunos e suas peculiaridades, mas foi constatado que existem muitos outros fatores elencados a essa temática que necessitam de um olhar mais direcionado.
A Literatura De Mãos Dadas Com A Interdisciplinaridade No Processo De Ensino E Aprendizagem No Ensino Fundamental
Authors: Santos Alessandra Ferreira dos
Published: May 2021

Dois elementos fundamentais que podem auxiliar na alfabetização das séries iniciais são a literatura e a interdisciplinaridade. A literatura é um construto interdisciplinar, considerando as diferenças de sentidos suplementares que são atribuídos às obras por parte dos autores, como também do leitor, ao gerar os diálogos com as demais áreas do conhecimento. Diante dessa simbiose, esse trabalho trata-se de resultados de uma intervenção sistemática, por meio de oficina ocorrida na Escola Municipal Vinícius de Moraes utilizando um método alternativo e auxiliando os professores nas práticas pedagógicas. Sendo assim, o objetivo do presente artigo, é uma reflexão sobre os dados colhidos por meio dessa pesquisa de campo. Buscou-se, também, mostrar como a literatura chega à educação infantil e a importância do livro na vida criança, bem como o real papel e importância da interdisciplinaridade na aprendizagem e como ela contribui para novas práticas. Além disso, o presente estudo se justifica ante a necessidade dessa pesquisa para relatar como os professores podem melhorar sua didática, estabelecer ligações entre a prática e a teoria, abrir um novo olhar e tornar o professor como um grande articulador e mediador de uma nova proposta pedagógica. Por fim, o percurso metodológico utilizado foi com as bases de dados: Google Acadêmico e Scielo (Scientific Eletronic Library Online), além de livros, teses e dissertações, entre os anos 2010 a 2020, sendo utilizados como critério os idiomas: Português e Inglês. Ressalta-se, ainda, que o presente estudo se trata de uma pesquisa de cunho qualitativo, que buscou coletar dados sem a intervenção do pesquisador, realizada em uma turma de primeiro ano, do Ensino Fundamental, na Escola de Ensino Fundamental Vinicius de Morais, de Lucas do Rio Verde.
Cuentas medioambientas monetarias
Authors: Fuentes José Antonio , Egido María Luisa
Published: May 2021

Las Cuentas Medioambientales Monetarias registran en unidades monetarias las operaciones entre unidades económicas que se consideran ambientales, esto es, las actividades para proteger y preservar el medio ambiente, y comprenden la protección ambiental, la gestión de los recursos naturales, así como los instrumentos de política económica destinados a esos fines. Las cuentas de gasto en protección, impuestos, y sector de los bienes y servicios ambientales, más consolidadas en estos momentos, que son el objeto de este artículo, en un futuro se completarán con otras áreas, como subvenciones y transferencias similares, subvenciones o medidas de apoyo potencialmente perjudiciales y gasto en gestión de los recursos naturales.
The Length Of Stay In Patients Undergoing Diagnostic MRI And CT-Scan With Intravenous Anesthesia At Outpatient Clinic Dr. Soetomo General Hospital: An Overview
Authors: Maharani Virda , Utariani Arie , Andriyanto Lucky , Harjono Bambang
Published: May 2021

Background: Magnetic Resonance Imaging (MRI) and Computerized Tomography (CT) Scans might be challenging for children or patients with anxiety or claustrophobia. The use of general anesthesia aims to increase the success rate, but inadequate management can result in longer length of stay. Purpose: To analyze patients' length of stay on MRI and CT-scan with intravenous anesthesia. Methods: A descriptive observational study. The datas were collected retrospectively from the medical records in General Diagnostic Center. Total of 721 patients who underwent MRI or CT Scan procedures with intravenous anesthesia during 2017-2018. The data obtained were patients' age, sex, the type of procedure, physical status, comorbid, type of anesthesia drug, diagnostic procedure duration, length of observation in the Post Anesthesia Care Unit (PACU), and overall length of stay. Results: All MRI procedures used midazolam-propofol combination, and only one CT scan procedure used this combination, while the other used only propofol. Patients undergoing MRI had length of stay with a mean duration of 6,6,3±1,26 hours, compared to CT scans with 5,20 ±1,38 hours, due to the more prolonged procedure and observation duration in the PACU. Conclusion: Patients undergoing MRI had a longer length of stay than the ones doing CT scans.
The Role Of Family Support And Self-Efficacy On Self-Care Behavior In The Elderly With Type 2 Diabetes
Authors: Sari Ratna Yunita , Soleha Umdatus , Chandra Dewi Erika
Published: May 2021

Introduction: Diabetes self-care is an effort to control type 2 diabetes mellitus. Family support and self-efficacy are needed for elderly people with type 2 diabetes mellitus to increase independence in managing their disease. This study aims to determine the relationship between family support and self-efficacy with self-care behavior in the elderly with type 2 diabetes mellitus at the Elderly Posyandu in Wadungasri Village. Methods: This study is a quantitative study with a correlational analytic research design using a cross-sectional approach. The population in this study was 132 elderly with type 2 diabetes mellitus using a probability sampling method with a technique used simple random sampling and obtained a sample of 100 elderly DM type 2. Results: The results showed that most of the elderly have family support and good self-efficacy. with less self-care behavior. The results of the analysis using the Spearman rank test showed that family support was associated with self-care for people with diabetes mellitus type 2 (p-value = 0.006, ɑ = 0.05). The results of the Spearman rank test analysis showed that self-efficacy was related to self-care for people with diabetes mellitus type 2 (p-value = 0.001, ɑ = 0.05). Conclusion: Family support and self-efficacy gave to elderly people with type 2 diabetes mellitus can influence health behavior patterns that will make self-care behavior well.
The Effect Of Listening To Quran Recitation On Social-Emotional Development In Pre-School Children During Covid-19 Pandemic
Authors: Firdaus Firdaus , Aditya Putri Rahmadaniar , Hardiningrum Andini
Published: May 2021

Pandemics, which are elements of non-natural disasters, often have a prolonged impact on children, such as traumatic power. The biggest challenge for children with a pandemic is the growing risk that affects the development of cognitive, behavioral and emotional abilities. The purpose of this study was to analyze the effect of murottal Al-Qur'an therapy on social development in preschool children during the pandemic at TPQ Baitul Karim. The research design used Quasy-Experiment with pretest-posttest approach with control group design. The study population was all mothers and preschool children at TPQ Baitul Karim of 54 respondents. A sample size of 48 respondents was taken using the Cluster Sampling technique. The independent variable is Murottal Al-Quran therapy and the dependent variable is social emotional development. The instrument uses a questionnaire sheet. Data were analyzed by Mc.Nemar test and Chi-Square test with a significance ɑ = 0.05. The results showed that before being given murottal Al-Qur'an therapy, most of the treatment groups (66.6%) and control (58.3%) had unattainable social emotional development. The results after being given murottal Al-Qur'an therapy, most of the treatment groups (91.6%) and control (70.8%) had achieved social-emotional development. The results of the Mc.Nemar test analysis found ρ = 0,000, meaning ρ <ɑ then H0 was rejected, which means that there was an effect of Murottal Al-Qur'an therapy on social development. Chi Square test analysis showed that the value of ρ = 0.088, ρ> ɑ, then H0 is accepted, which means there is no difference in social emotional development between the treatment and control groups. Murottal Al-Quran therapy is effective for improving social emotional development. It is hoped that therapy can be applied to preschool children whose social emotional development is not achieved.
Bacterial Identification And Antibiotics Sensitivity Of Ventilator-Associated Pneumonia (VAP) Patients At RSD Dr. Soebandi Jember
Authors: Shodikin Muhammad Ali , Ramadhanty Mira Haninda , Semita I Nyoman
Published: May 2021

ABSTRACT

Ventilator-Associated Pneumonia (VAP) is pneumonia in patients who use mechanical ventilator. The empirical antibiotic therapy is given to VAP patients based on bacterial mapping and its antibiotic sensitivity. The aim of this study is to determine bacterial identification and antibiotic sensitivity of VAP patients at RSD dr. Soebandi Jember. This study is a retrospective study, the data collected from medical record of VAP patients from September to October 2019. All samples that is meet the inclusion and exclusion criteria was recruited in this study. Data analysis was use Microsoft Excel 2010. This study obtained 15 samples. The most frequents bacteria that causes VAP is Acinetobacter baumanii. It is also caused by Klebsiella pneumoniae, Pseudomonas aeruginosa, Enterobacter aerogenes, Burkholderia cepacia, Pseudomonas fluorescence, Salmonella arizonae, and Escherichia coli. The bacteria are most sensitive to amikacin, meropenem, and piperacillin-tazobactam and most resistant to cefixime, cefotaxime, and ceftriaxone.
The Correlation Between Patient Satisfaction Regarding Nutrition Service And Hospital Length Of Stay With Food Waste In Covid–19 Patients
Authors: Setianto Budhi , Adriansyah Agus Aan , Hanik Umi , Bistara Difran Nobel
Published: May 2021

Patient satisfaction is one indicator of the success of food delivery in the hospital. In the condition of the Covid-19 patient, there are several symptoms which will affect the length of stay in the hospital so that the patient’s nutrition greatly affects the patient’s improvement. This study aims to determine the relationship between food serving satisfaction and length of stay on leftover food in Covid-19 patients. This study used a quantitative method with observational and cross-sectional research method in the isolation room of RSI Surabaya in July-September. The data were processed using chi square test. The results showed that there was a relationship between the satisfaction of serving food and leftovers (P= 0,000), while the length of stay in Covid-19 patients had no relationship with food waste (P= 0,517). There is a relationship between the satisfaction of the patient’s food presentation and the food waste, this shows that the better the patient’s assessment of the assessment of the food presentation, the are no food waste. Meanwhile, the length of stay of patient in the Covid-19 isolation room did not have a relationship with food waste so that the length of stay did not affect the food waste.
A Pin1/PML/P53 axis activated by retinoic acid in NPM-1c acute myeloid leukemia
Authors: Hleihel Rita , El Hajj Hiba , Wu Hsin-Chieh , Berthier Caroline , Zhu Hong-Hu , Massoud Radwan , Chakhachiro Zaher , El Sabban Marwan , De The Hugues , Bazarbachi Ali
Published: May 2021

Retinoic acid (RA) was proposed to increase survival of chemotherapy- treated patients with nucleophosmin-1 (NPM-1c)-mutated acute myeloid leukemia. We reported that, ex vivo, RA triggers NPM-1c degradation, P53 activation and growth arrest. PML organizes domains that control senescence or proteolysis. Here, we demonstrate that PML is required to initiate RA-driven NPM-1c degradation, P53 activation and cell death. Mechanistically, RA enhances PML basal expression through inhibition of activated Pin1, prior to NPM-1c degradation. Such PML induction drives P53 activation, favoring blast response to chemotherapy or arsenic in vivo. This RA/PML/P53 cascade could mechanistically explain RA-facilitated chemotherapy response in patients with NPM-1c mutated acute myeloid leukemia.