bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of Early Onset Dementia in Population-Based Health Administrative Data: A Validation Study Using Primary Care Electronic Medical Records
Authors: Jaakkimainen Liisa , Duchen Raquel , Lix Lisa , Al-Azazi Saeed , Yu Bing , Butt Debra , Park Su-Bin , Widdifield Jessica
Published: September 2022

Background: Early onset dementia (EOD) occurs when symptoms of dementia begin between 45 to 64 years of age. Objective: We developed and validated health administrative data algorithms for EOD and compared demographic characteristics and presence of comorbid conditions amongst adults with EOD, late onset dementia (LOD) and adults with no dementia in Ontario, Canada. Methods: Patients aged 45 to 64 years identified as having EOD in their primary care electronic medical records had their records linked to provincial health administrative data. We compared several combinations of physician’s claims, hospitalizations, emergency department visits and prescriptions. Age-standardized incidence and prevalence rates of EOD were estimated from 1996 to 2016. Results: The prevalence of EOD for adults aged 45 to 64 years in our primary care reference cohort was 0.12%. An algorithm of ≥1 hospitalization or ≥3 physician claims at least 30 days apart in a two-year period or ≥1 dementia medication had a sensitivity of 72.9% (64.5–81.3), specificity of 99.7% (99.7–99.8), positive predictive value (PPV) of 23.7% (19.1–28.3), and negative predictive value of 100.0%. Multivariate logistic regression found adults with EOD had increased odds ratios for several health conditions compared to LOD and no dementia populations. From 1996 to 2016, the age-adjusted incidence rate increased slightly (0.055 to 0.061 per 100 population) and the age-adjusted prevalence rate increased three-fold (0.11 to 0.32 per 100 population). Conclusion: While we developed a health administrative data algorithm for EOD with a reasonable sensitivity, its low PPV limits its ability to be used for population surveillance.
Path analysis of tennis ball automatic transmitter based on artificial intelligence technology
Authors: Ren Shanchang , Qie Yushi , Xie Zhicheng
Published: September 2022

In order to improve the analysis effect of tennis automatic transmitter path, this study designed a tennis automatic transmitter path analysis method based on artificial intelligence technology. Firstly, the structure of tennis automatic transmitter is designed, including five parts: ball receiving structure, ball sending structure, ball storage structure, launching structure and moving structure. Then, a grid model of the path distribution after the tennis ball is launched is constructed, and the constraint parameters of the path planning of the launcher are optimized. Finally, the force and running track of the tennis ball before and after launching are analyzed to realize the automatic launching path analysis of the tennis ball. The experimental results show that the convergence value of this method is 1.39%, and it only takes 3.5 minutes to generate the path analysis results. Therefore, this method has good application effect in terms of convergence and timeliness, and can be effectively applied to the path analysis of tennis automatic transmitter.
Abnormal motion signal detection of mobile robot based on deep learning
Authors: Zhang Hongxia
Published: September 2022

In order to solve the problem of high false positive rate and false negative rate of mobile robot motion signal anomaly detection, a new method based on deep learning is designed. The abnormal state of mobile robot is analyzed, and the feature of mobile robot running data is extracted by using correlation dimension. The PNN training is completed by adopting the multi-neural network structure of deep learning to deal with the abnormal state sample data of the robot. Based on the motion control method and double evolutionary probability neural network, the abnormal motion signal is detected by fuzzy weighting method and fuzzy matching. Experimental results show that the method can effectively solve the problem of high false alarm rate and false positive rate, and promote the development of robot motion signal anomaly detection technology.
Identifying influential observations in a time series from the frequency domain point of view
Authors: Pak Ro Jin
Published: September 2022

This study attempts to explore the influence of observations in a time series or a discrete time signal. The goal is to detect abnormal observations from a frequency domain point of view, while the most of relevant studies have been done from a time domain point of view. The concept of the influence function in the field of robust statistics is borrowed to identify influential observations in a time series. An empirical version of the influence function on the discrete Fourier transform of a time series is designed and subsequently a statistic is proposed to identify influential observations of a time series from the frequency domain point of view. Though the proposed statistic is simple enough to be calculated with simple arithmetic operations, case studies show that the proposed method is capable of identifying influential or abnormal observations of a time series. By identifying influential or abnormal observations, we would be able to gain a better understanding of the nature of a time series and to control possible future influential observations.
An EM model for analysis of discrete time competing risks data with missing failure causes
Authors: Ndlovu Bonginkosi D. , Melesse Sileshi F. , Zewotir Temesgen
Published: September 2022

Larson and Dinse (1985) have introduced the mixture model as an additional competing risks model. In the same article, the authors have suggested that this model can be upscaled to handle the presence of missing failure causes in data. We respond to this proposal in this article and develop a regression model for analysis of data that comes with this complication. We also demonstrate that, with minimal adjustments, the proposed model can be applied in discrete time. This development will be of benefit to discrete time competing risks as analysis of data with this complication is a subject that has not received adequate attention. The mixture model has two components, the incidence and the latency component. It is demonstrated that the parameters related to the model for the latency component as proposed by Larson and Dinse (1985) can be estimated by applying a certain Poisson regression.
Illustrating advantages and challenges of Bayesian statistical modelling: An empirical perspective
Authors: Sosa Juan , Buitrago Lina
Published: September 2022

We provide four case studies that use Bayesian machinery to making inductive reasoning. Our main motivation relies in offering several instances where the Bayesian approach to data analysis is exploited at its best to perform complex tasks, such as description, testing, estimation, and prediction. This work is not meant to be either a reference text or a survey in Bayesian statistical inference. Our goal is simply to provide several examples that use Bayesian methodology to solve data-driven problems. The topics we cover here include analysis of times series and analysis of spatial data.
The Dual-Dagum family of distributions: Properties, regression and applications to COVID-19 data
Authors: Biazatti Elisângela Candeias , Cordeiro Gauss Moutinho , de Lima Maria do Carmo Soares
Published: September 2022

A new Dual-Dagum-G (DDa-G) family is defined as a good competitor to the Beta-G and Kumaraswamy-G generators, which are widely applied in several areas. Some of its mathematical properties are addressed. We obtain the maximum likelihood estimates, and some simulations prove the consistency of the estimates. The flexibility of this family is shown through a COVID-19 data set. We propose a new regression based on a special distribution of the DDa-G family, and provide a sensitivity analysis by using data from 1,951 COVID-19 patients collected in Curitiba, Brazil.
An approach for data integrity authentication and protection in fog computing
Authors: Babitha M.N. , Siddappa M.
Published: September 2022

The data integrity verification process in cloud has become more promising research area in several Internet of Things (IoT) applications. The traditional data verification approaches use encryption in order to preserve data. Moreover, fog computing is considered as extensively employed virtualized platform and it affords various services including storage as well as services interconnected to computing and networking between user and data center based on standard cloud computing. Moreover, fog computing is an extensive description of cloud computing. Thus, fog servers effectively decrease the latency by integrating fog servers. In this paper, novel model for data integrity authentication and protection is designed in IoT cloud-fog model. This method mainly comprises fog nodes, cloud server, IoT nodes, and key distribution center. Here, dynamic and secure key is produced based on the request to key distribution center based on hashing, Exclusive OR (XOR), homomorphic encryption and polynomial. The fog nodes are employed to encrypt the data gathered from IoT nodes as well as allocate the nearby nodes based on Artificial Bee Colony-based Fuzzy-C-Means (ABC FCM) – based partitioning approach. The proposed data integrity authentication approach in IoT fog cloud system outperformed than other existing methods with respect to detection rate, computational time and memory usage of 0.8541, 34.25 s, and 54.8 MB, respectively.
Rel Topic : A graph-based semantic relatedness measure in topic ontologies and its applicability for topic labeling of old press articles
Authors: El Ghosh Mirna , Delestre Nicolas , Kotowicz Jean-Philippe , Zanni-Merk Cecilia , Abdulrab Habib
Published: September 2022

Graph-based semantic measures have been used to solve problems in several domains. They tend to compare semantic entities in order to estimate their similarity or relatedness. While semantic similarity is applicable to hierarchies or taxonomies, semantic relatedness is adapted to ontologies. In this work, we propose a novel semantic relatedness measure, named Rel Topic , within topic ontologies for topic labeling purposes. In contrast to traditional measures, which are dependent on textual resources, Rel Topic considers semantic properties of entities in ontologies. Thus, correlations of nodes and weights of nodes and edges are assessed. The pertinence of Rel Topic is evaluated for topic labeling of old press articles. For this purpose, a topic ontology representing the articles, named Topic-OPA, is derived from open knowledge graphs by applying a SPARQL-based automatic approach. A use-case is presented in the context of the old French newspaper Le Matin. The generated topics are evaluated using a dual evaluation approach with the help of human annotators. Our approach shows an agreement quite close to that shown by humans. The entire approach’s reuse is demonstrated for labeling a different context of articles, recent (modern) newspapers.
The relationship between Turkish women’s self-efficacy for managing work-family conflict and depression, anxiety and stress during the COVID-19 pandemic: A web-based cross-sectional study
Authors: Küçükkaya Burcu , Kahyaoğlu Süt Hatice
Published: September 2022

BACKGROUND: The COVID-19 pandemic has changed working women’s workplace and family workload. The changing workplace-family workload may cause a decrease in work-family conflict management self-efficacy. The decrease in work-family conflict management self-efficacy in women may increase their depression, anxiety, and stress levels. OBJECTIVE: This study aimed to examine the relationship between Turkish women’s self-efficacy for managing work-family conflict and their depression, anxiety, and stress during the COVID-19 pandemic. METHOD: This cross-sectional study was conducted with 244 Turkish women via social media (Facebook, Instagram, and WhatsApp). The data were collected online through a questionnaire, the Depression Anxiety Stress Scale-21 (DASS-21), and sub-scales of the Self-Efficacy for Managing Work-Family Conflict Scale (SE-WFC): Work-to-Family Conflict (WFC) and Family-to-Work Conflict (FWC). RESULTS: During the COVID-19 pandemic, 87.3% of working women experienced an increase in their family workload (100% increase in cooking and cleaning jobs). On the other hand, workplace workload of 83% of women increased. According to DASS-21, women experienced depression (55.7%), anxiety (49.6%) and stress (63.1%). A negative correlation was found between the mean scores of WFC/FWC and the mean scores of depression, anxiety, and stress. (p < 0.001). CONCLUSION: During the COVID-19 pandemic, Turkish women’s self-efficacy for managing work-family and family-work conflict decreased, and their depression, anxiety, and stress levels increased.
Identifying, classifying and prioritizing factors affecting human errors in the mine design process: A mixed methods research
Authors: Mohammadfam Iraj , Khajevandi Ali Asghar , Dehghani Hesam , Babamiri Mohammad , Farhadian Maryam , Rezaei Reza
Published: September 2022

BACKGROUND: Mines are often home to many dangers with a high rate of accidents and occupational diseases. One of the most effective ways to prevent these adverse incidents is to identify and control the influential factors causing human error in design and the ensuing negative consequences. OBJECTIVE: This study aimed to explore, categorize and prioritize factors affecting human errors in the mine design process. METHODS: The study has a mixed-method design combining qualitative and quantitative data. In the qualitative phase, the required data were collected by conducting semi-structured interviews with 12 surface mine designers. The causes of errors were extracted and categorized by the latent content analysis using MAXQDA2022 software. The identified causes in the qualitative phase were sent to expert designers in Q tables, and the data were analyzed by factor analysis. RESULTS: Of the identified codes in the qualitative phase, 40 main themes in five different categories (individual, organizational, external, task, and environmental factors) were determined as causes. The results of the quantitative phase suggest the existence of four different mental patterns regarding the causes of design errors (DEs). The data analysis also shows that organizational and personal factors, particularly supervision and inspection, experience, and technical knowledge, were the strongest causes of DEs and environmental (hotness, coldness, indoor air quality, and noise) and external (work-family conflict) factors being the weakest ones. CONCLUSION: This study not only identifies and categorizes the causes of design errors in the mining industry but also suggests some control strategies for these errors based on the mental patterns of the experts.
Detection and Estimation of Heavy Metals in Broiler Meat Available in Lahore, Pakistan
Authors: Salamat Hira , Shahbaz Sana
Published: September 2022

Cadmium (Cd) and lead (Pb) are toxic environmental pollutants. These heavy metals create serious health issues in consumers. The current study aimed to identify the quantity of lead and cadmium in broiler chicken, including in its liver  and kidneys, since the demand for chicken meat as a food source is increasing day by day. Forty (40) broiler chickens were purchased from the various markets of Lahore, Pakistan including the markets of Sadar Cantt area, Shahdra, Alkarim park, Anarkali, and Muslim town. These chickens were collected, processed, and analyzed to determine the levels of lead and cadmium in their internal organs (liver and kidneys) using atomic absorption spectrophotometer. This process was carried out in the laboratory of PCSIR after the digestion of all samples via nitric acid (HNOз) and hydrogen peroxide using the wet digestion method. The range of the mean concentration of lead (4.50 - 8.50ug /g) and cadmium (25.00 - 27.75 ug/g) in the internal organs of broiler chicken exceeded the permissible level of 0.05% recommended by the World Health Organization (WHO). ANOVA analysis revealed that the presence of heavy metals was not significant in the internal organs of broiler meat collected from different areas of Lahore, since the p-value was greater than the significance level (p > 0.05). Hence, heavy metal concentrations were recorded as above the permissible level recommended by the WHO.
Development of the Tumor Diagnosis Application for Medical Practitioners using Transfer Learning
Authors: Sarwar Nadeem , Noreen Iram , Irshad Asma
Published: September 2022

A brain tumor is the growth of abnormal cells in the tissues of brain. It affects a large number of people of different ages, worldwide. Magnetic Resonance Imaging (MRI) is the most operative and widely used technique for brain tumor detection because it provides better contrast images of the brain. However, the complexity of the problem, manual classification process, requirement of skilled medical practitioners, and a huge amount of MRI scan data are the major factors thwarting the timely classification of tumor vs. non-tumor. Early detection of brain tumors is possible by accurately applying machine learning with the aim to save time, cost, and human life. Recently, deep machine learning via transfer learning techniques was found to be highly effective for classification tasks. A tumor diagnosis application is presented with a VGG-19-based deep learning model by applying transfer learning of knowledge. Five-fold cross-validation of the model demonstrated 88% accuracy along with a 0.881 F1 score. The application could be utilized as a successful tool aid for oncologists and radiologists in the clinical diagnostics process.
Effects of “Reed A Dream” Insecticide on Selected Biomarkers of Kidney, Liver, and Lipid Profile in Wistar Rats
Authors: Joshua David , Peters Dikioye Emmanue , Ikewuchi Jude Chigozie
Published: September 2022

This study investigated the effects of “Reed A Dream” (RD) insecticide on selected biomarkers of kidney, liver, and lipid profile in Wistar rats. Twenty-five (25) rats of both sexes (weighing 50-114 g) were divided into 5 groups, comprising of control (0.5mL water), N-hexane only (0.5mL), RD(50% vol/vol) + N-hexane, RD(25% vol/vol) + N-hexane, and RD (12.5% vol/vol) + N-hexane, also labelled as groups 1-5 respectively. After 2 weeks of oral daily administration, the animals were sacrificed; blood, liver, kidney, and heart tissues were taken for biochemical and histopathological investigations. A non-significant decreased (p≥0.05) in plasma concentration of total protein, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and alkaline phosphatase (ALP) in groups 3-5, a significant decrease (p≤0.05) in albumin (groups 3-5); a non-significant increased in creatinine, gamma glutamyltranspeptidase (GGT) in groups 3-4 was observed, as compared with the control group; Moreover, a significant increased (p≤ 0.05) in urea in groups 3-5 when compared with the control group. Histology of the liver tissue (Group 3) revealed a central vein with mild congestion, while kidney tissues (groups 3-5) showed visible congestion of glomerulus, and heart tissue (group 3-5) showed interstitial deposition of collagens, as compared with the control group. RD insecticide caused acute nephrotoxicity and mild hepatotoxicity in Wistar rats on oral exposure.
IN VITRO STUDY ON NIGELLA SATIVA AS INHIBITOR OF CALCIUM OXALATE CRYSTALLIZATION
Authors: Ahmad Shafiq , Shad Muhammad Aslam , Ansari Tariq Mahmood
Published: September 2022

Objective: This study aims to test the efficacy of Nigella Sativa plant as an inhibitor of calcium oxalate crystallization. Material & Methods: Nigella Sativa alcohol extract was made by maceration of 100 grams Nigella seeds which were dried and powdered for 72 hours and then filtered, so as to produce 100 percent Nigella alcohol extract. Then make dilutions of 10 and 50 percent. The precipitation of calcium oxalate at 37 0C and pH 5.7 was studied by measurement of turbidity at 620 nm with and without inhibitor which is Nigella Sativa. Results: Tmax, the slope of nucleation (SN) and slope of aggregation (SA) was measured with control and with inhibitor. With increasing concentration of inhibitor, Tmax progressively increased, whereas SN and SA decreased. The nucleation percentage inhibition ratio was 86.0% and inhibition of crystal aggregation took place by 66.6% with 100% extract. Crystallization was inhibited (growth and aggregation) in a concentration dependent manner. Conclusion: Nigella Sativa is strong inhibitor of calcium oxalate crystallization. However, comprehensive work is needed to establish the results.
GIGANTIC ADRENAL CYST MIMICKING MESENTERIAL TUMOR: A CASE REPORT
Authors: Baskoro Ario , Caesar Khairul Walad  , Syamsu Hudaya  , Amrizal Umran
Published: September 2022

Objective: This study aims to know the effects of giant adrenal cysts and their challenges for surgeons. Case(s) Presentation: A 41 years old female was referred with a chief complaint of growing palpable mass on the left side of the abdomen since five months ago. During the past five months, the patient has also had complaints of hard narrow-caliber stools. The general conditions and vital signs have been within normal limits. Discussion: Complete resection of the tissue remains the current best treatment of choice. When available, laparoscopic adrenalectomy is the gold standard for treating giant adrenal cysts. Open adrenalectomy is an alternative when laparoscopic adrenalectomy is not available, or when there is not enough diagnostic information preoperatively. For large cysts with a size of >6cm, open surgery is the favorable treatment, because it is difficult to control the mass via the laparoscopic approach. Conclusion: The giant adrenal cyst is a rare condition that, due to its size, it could lead to moderate-severe abdominal symptoms. Localizing the origin of the cysts preoperatively poses a challenge for surgeons and diagnosticians. Intraoperative diagnostic and therapeutic with laparoscopy or open surgery is recommended for these cases.
CHARACTERISTIC CHEMOTHERAPY RESPONSE OF TESTICULAR CANCER PATIENTS IN TERTIARY HOSPITAL
Authors: Fabrianta Dio Mafazi , Seputra Kurnia Penta , Daryanto Besut
Published: September 2022

Objective: The purpose of this study was to determine the correlation of testicular tumor markers on the success of chemotherapy in my institution. Material & Methods: This research is a retrospective study single center using the medical record database at the span of the research period. The patient with testicular carcinoma who underwent complete chemotherapy between 2017 until 2022 was included. The data collected and analyzed by descriptive data and analytical correlation using SPSS Ver. 25. The comparation test using T-test and Anova. Results: A total of 31 testicular cancer patients were enrolled in the study. Fifteen patients were seminoma and 16 patients were non-seminoma. The mean age of patient at presentation of seminoma and non seminoma were 38.3 ± 17.03 and 30.74 ± 13.01. Most patients presented a karnofsky score about 79 ± 15. There was a negative correlation (r=-0.492) with a significant correlation between the types of testicular carcinoma cases and the response to chemotherapy (p=0.027).  There was a significant difference in cases of seminoma and non-seminoma to the success of the chemotherapy response (p=0.024). There was a positive correlation between serum β-HCG, AFP, LDH with serial chemotherapy result with a no significant correlation (p=0.879; p=0.242; and p=0.277). Conclusion: Most types of the testicular carcinoma responses to chemotherapy. Patients with seminoma pathology have better response to chemotherapy compared to non-seminoma.
Una Nueva Constitución Plurinacional. Bases para la discusión. Comisión 1. Sistema Político, Gobierno, Poder Legislativo y Sistema Electoral
Authors: Faundes Peñafiel Juan Jorge
Published: September 2022

El Estado de Chile no ha reconocido a los pueblos indígenas en su Constitución a 30 años del retorno a la democracia y sus derechos solo se fueron incorporando por la vía de la ratificación de instrumentos internacionales en materia de derechos humanos. Desde esa perspectiva, el “control de convencionalidad” de la Corte Interamericana de Derechos Humanos (Corte IDH) adquirió un rol central, más allá de sus luces y sombras en el debate doctrinario. Tras la “crisis social” de octubre de 2019 y el proceso constituyente que desencadenó, se instaló la cuestión del reconocimiento de los pueblos indígenas como uno de los ejes del debate constituyente. En este trabajo se plantean, varias premisas relevantes de discutir sobre el reconocimiento constitucional de los pueblos indígenas durante en el proceso constituyente −con plena participación indígena− se espera sean un insumo en la deliberación constituyente de la Convención Constitucional.
Technology of shortbread cookies of increased vitamin and mineral value
Authors:   К.G. Razumovsky Moscow State University of technologies and management (The First Cossack University), Posnova G.V. , Ivanova N.G. ,   К.G. Razumovsky Moscow State University of technologies and management (The First Cossack University)
Published: September 2022

The article presents the results of the development of a new type of shortbread, characterized by increased vitamin and mineral value. To this end, it is proposed to replace part of wheat flour with a mixture of rice flour and pumpkin seed flour, add sea buckthorn puree and chopped dried apricots, as well as replace water with drinking milk. It was noted that due to the introduction of sea buckthorn berries with high acidity into the formulation of the products being developed, the complete neutralization of alkaline compounds formed as a result of the decomposition of chemical leavening agents took place in the finished product, therefore it was recommended to determine the acidity index in them, which did not exceed 3 degrees, which ensured the appearance of a pleasant sour taste in the finished product. The calculation of nutritional value showed that in comparison with the control sample, the developed shortbread contains 1.5 times more protein, 2.6 times less fat, 3.1 times more dietary fiber, 4 times more potassium. The amount of calcium and phosphorus increased by 2.2 times, and magnesium and vitamin E – by about 5 times. The energy value of the new cookie decreased by 26.5% compared to the control. Based on the conducted research, a recipe for a new type of shortbread " Solnyshko" with a high content of minerals and vitamins has been developed, which can be recommended for inclusion in the diet of people who adhere to a healthy lifestyle, as well as those who have a deficiency in these vitamins, minerals and polyunsaturated fatty acids.
Study of the effect of activated rye sourdough on the technology of wheat-rye bread preparation
Authors:   FGBOU VO «East Siberia State University of Technology and Management» (Ulan-Ude), Zolotareva A.M. , Khalapkhanova L.V. ,   FGBOU VO «East Siberia State University of Technology and Management» (Ulan-Ude), Safronova YU.S. ,   FGBOU VO «East Siberia State University of Technology and Management» (Ulan-Ude), Vtorushina A.N. ,   FGBOU VO «East Siberia State University of Technology and Management» (Ulan-Ude)
Published: September 2022

Modern research shows that rye-wheat sourdough bread is characterized by high nutritional value and digestibility compared to yeast bread. The use of sea buckthorn meal to activate the rye starter culture of spontaneous fermentation, reduces the duration of the preparation of the starter culture by 40%. The optimal ratio for obtaining a rye starter of spontaneous fermentation is the addition of 3% sea buckthorn meal. It was found that the introduction of sea buckthorn meal intensifies the process of acid accumulation of the starter culture. A recipe for wheat-rye bread using activated rye sourdough of spontaneous fermentation has been developed. This article considers the possibility of using a starter culture of spontaneous fermentation activated by the introduction of sea buckthorn meal for the preparation of wheat-rye bread. The positive effect of the introduction of sea buckthorn meal into the starter culture on acid accumulation and fermentation time of starter cultures has been studied.
Creation of a mathematical model for the preparation of aerated dough
Authors:   FGAOU VO St. Petersburg Polytechnic Peter the Great University, Ermoshin N. A. , Romanchikov S. A. ,   FSME Institution of Higher Education «Military Aca demy of Logistics named after General of the Army A. V. Khruleva», Volkov I. E. ,   FSME Institution of Higher Education «Military Aca demy of Logistics named after General of the Army A. V. Khruleva»
Published: September 2022

For the scientific substantiation of technical solutions for the modification of technological equipment for food production, a mathematical model for the preparation of aerated dough is proposed. On this basis, new technical means and technological equipment have been developed for the production of bread products from whipped yeast-free dough. The mathematical model makes it possible to investigate the quality indicators of aerated yeast-free dough and in particular, its uniformity, which depends on the geometric characteristics of the kneading chamber, the duration of mixing, and the volume of water. The main parameter that allows mode ling the mixing process is the suspension flow density and the mixing coefficient. The process of equalizing the suspension density along the height of the kneading chamber is modeled by the chamber system is modeled by a system of differential equations. The solution of these equations allows you to determine the optimal geometric parameters of the kneading chambers. Determining the parameters of the kneading chamber for forced mixing of ingredients through the use of mechanical energy makes it possible to calculate the technical characteristics of the design of the apparatus for preparing whipped yeast-free dough, these include the characteristics of the energy source, power plant (electric motor), source of thermal energy, compressor to create pressure in the kneading chamber.
Fire hazard of production and storage of vegetable oils
Authors:   FSBI VNIIPO of the Ministry of Emergency Situations of Russia, Vogman L.P. , Zemsky G.T. ,   FSBI VNIIPO of the Ministry of Emergency Situations of Russia
Published: September 2022

The analysis of the fire hazard of the technological process of vegetable oil production, which is caused by the circulation of flammable, combustible solid and liquid substances and materials in it, is carried out. Liquid oil aerosols pose a high fire hazard when they are released from process equipment under pressure and at elevated temperatures. When a combustion source occurs in them, a sequential burnout occurs (by analogy with gas combustible mixtures), creating an explosive load. Extinguishing foams, powders can be used as extinguishing agents for spills of organic oils, and when aerosols are released from technological equipment, volumetric fire extinguishing agents – sprayed water, general purpose powders, carbon dioxide, nitrogen.
Boletín Económico Regional : Bogotá, II trimestre de 2022
Authors: Mora Dora Alicia , Mora Quiñones Rocío , Ramírez Rodríguez Carolina , Suárez Medina Carlos Alberto , Bermeo Soto Juan Carlos
Published: September 2022

La economía de la región Bogotá (Bogotá y Cundinamarca) en el segundo trimestre del año fue jalonada por un alto consumo y dinamismo en las actividades cotidianas y productivas, reflejo del fortalecimiento de la industria, el comercio, el transporte y la construcción, así como de las exportaciones e importaciones. El buen desempeño estuvo limitado por altos costos en fletes e insumos, originados en las crisis de los contenedores, la invasión de Rusia a Ucrania y la estrategia de cero covid-19 en China. En la ciudad capital la tasa de desempleo mostró señales de mejoría, mientras la inflación se mantuvo en niveles altos.
Boletín Económico Regional : Costa Caribe, II trimestre de 2022
Authors: Mora Dora Alicia , Aguilera Díaz María , Orozco Gallo Antonio , Yabrudy Vega Javier , Sarabia Tapia María Alejandra , Barcos Robles Rosemary , Reina Aranza Yuri
Published: September 2022

Atlántico, Bolívar, Cesar, Córdoba, La Guajira, Magdalena, San Andrés y Providencia, Sucre En el segundo trimestre de 2022, la economía de la región Caribe mantuvo su crecimiento anual. Este comportamiento se atribuyó en buena medida a la base comparativa que estuvo marcada por el paro nacional el año anterior. Los resultados más destacados fueron la industria, el comercio interno y externo, la venta de vivienda nueva, el transporte de pasajeros y la actividad agropecuaria, con excepción de la comercialización de ganado vacuno. Por su parte, la tasa de desempleo se redujo de la mano de un aumento en el número de ocupados y una oferta laboral estable; mientras la inflación mantuvo la tendencia alcista iniciada un año atrás.
Extraction of resveratrol from the pomace of various grape varieties using an enzyme preparation
Authors:   M. Auezov South Kazakhstan University, Saparbekova A.A.
Published: September 2022

. In the Turkestan region, there are factories for the production of wine materials and wine, the activity of which is associated with the formation of grape pomace, which can later be used as feed for cattle; making grape vinegar; in the production of alcohol; when preparing nutrient media for growing yeast. However, such use is not always advisable, given the unique biochemical composition of grape pomace. In addition, this product is not produced in Kazakhstan, and the cost of resveratrol powder produced in Russia is about 2,452.53 rubles per 50g. This article discusses methods for extracting resveratrol from different grape varieties using enzyme preparations. Resveratrol is a biologically active substance from the group of polyphenols, isolated from red grapes, grape pomace, and grape seeds, which have anticarcinogenic, antioxidant, and anti-inflammatory properties. Extraction experiments were carried out in three combinations using A. awamori F-RKM 0719 culture, Pectinol F-RKM 0719 enzyme preparation, and control. The analysis carried out has fully confirmed the effectiveness of using the enzyme preparation Pectinol F-RKM 0719. In all the experiments carried out, an increase in the amount of released resveratrol was observed almost twice as compared with the control experiments. Also, the use of the A. awamori F-RKM 0719 strain, the producer of the enzyme preparation Pectinol F-RKM 0719, showed a positive effect on the resveratrol yield. When using the Cabernet Sauvignon variety, the maximum amount of resveratrol which corresponds to the previously conducted experiments on the extraction of resveratrol from grape berries of various varieties.
Study of the self-cleaning ability of a reservoir and watercourses by hydrochemical indicators of Akmola region for 2018
Authors:   Kazakh University Technology and Business, Mamytova N.S. , Akbayeva L.Kh. ,   L.N. Gumilyov Eurasian National University, Kobetayeva N.K. ,   L.N. Gumilyov Eurasian National University, Tulegenov Y.A. ,   Kazakh National Women's Teacher Training University, Makazhanov Y.J. ,   Bashkir State Pedagogical University named after M. Akmulla
Published: September 2022

The article discusses the self-cleaning ability of lakes, rivers, and reservoirs of the Akmola region in terms of oxygen, as well as the influence of certain hydrochemical indicators such as (sulfates, chlorides, magnesium, salt ammonium, nitrite nitrogen, fluorides, total iron, zinc, manganese, copper, phenol). Among the chemical factors that inhibit the self-cleaning ability of reservoirs, one can note an increased content of salt sulfates, chlorides, calcium, magnesium, zinc, and copper phenol. ammonium, nitrite nitrogen, total iron, and copper. An assessment of the self-cleaning capacity of water bodies in the Akmola region was given based on oxygen indicators: the amount of dissolved oxygen in the water and the biological oxygen demand (BOD5). Rivers and lakes, based on the results obtained, were divided into six classes of self-cleaning ability, and a graph was also built from which among the studied water bodies, according to general annual indicators, lakes with low self-cleaning ability prevail. It has been established that the self-purification potential of waters can be influenced by both the excess of the content of individual hydrochemical components and the amount of the exceeded components, which can have a synergistic effect. Along with this, we studied which of the accompanying hydrochemical components affect the purification potential of water in lakes and rivers.
GAMBARAN DIMENSI DAN KEPUASAN SISWA DALAM PEMBELAJARAN ONLINE MENGGUNAKAN MS TEAMS
Authors: Suwastika I Wayan Kayun , Pertama Pande Putu Gede Putra
Published: September 2022

Purpose: To describe the dimensions and level of student satisfaction in online learning in MS Teams during the pandemic. Research method: this research was descriptive analysis with quantitative research. This data is categorically tested using SPSS for windows version 20, with a 95% confidence interval. Data collection dimensions and student satisfaction using an electronic questionnaire (google form). Electronic questionnaires are designed in the form of closed-ended questions. Results: SPSS results obtained are 74.1% male, 91.60% from information systems study programs, and around 64.2% using online meetings and social media applications. Based on the dimensions of Engaged Learning or student attendance, 59.8% expressed doubt about their involvement in online lectures using Ms. Teams, and the Agency dimension or student feelings, namely 57.7% expressed doubt. Meanwhile, the results of the assessments dimension are 50.6% of students doubt assessments online with MS Teams. 76.6% of students are satisfied with online lectures in Ms. Teams Originality: Microsoft Teams (Ms. Teams) is one of the learning media that can be used online. Teams is a collaboration platform that brings together chat, voice, video, and file sharing. Microsoft Teams has a role in how lecturers and students collaborate on data and information from each lecture material that is delivered. Learning using Microsoft Teams for Education is very well used to increase students' interest in learning, affecting attendance. Dimensions are a form of activity carried out by human groups with limitations on real and unreal life. The student dimension consists of 3 compone: engaged learning, agency, and assessment. these dimensions become a benchmark for student satisfaction in participating in online learning. Satisfaction is a form of consumer assessment of a product or service that can meet their needs and expectations.
Abordagem terapêutica em pacientes com fibrilação atrial: uma revisão integrativa
Authors: Veloso Thamires Mendes , Vargas Edimar Júnior Catroli , Roman Fernanda Trindade , Zanotelli Neto Geraldo , Malini Lais , Managna Mariana Pirslhner , Gava Murilo Scardini
Published: September 2022

A Fibrilação Atrial (FA) é considerada a arritmia cardíaca sustentada mais prevalente na sociedade. Em relação ao quadro clínico, os pacientes podem apresentar curso assintomático ou evidenciarem sintomas como palpitação, dor torácica, síncope e taquicardia. Ademais, destacam-se a ocorrência de eventos tromboembólicos e o crescimento das taxas de morbidade e mortalidade pela doença. O cuidado terapêutico é baseado na condição clínica e idade do doente, sendo de suma importância a adesão de mudanças no estilo de vida e a implementação da terapia medicamentosa, como primeira linha do manejo clínico. Outras abordagens são essenciais na prática médica, principalmente, em pacientes refratários à terapia medicamentosa, sendo a ablação uma das opções que evidenciam melhora do prognóstico nesses indivíduos. Diante disso, a questão norteadora para o presente estudo foi definida como: Quais são as principais abordagens terapêuticas para pacientes com FA? Este estudo tem como objetivo central descrever o manejo clínico mais adequado a ser implementado nesse grupo populacional. A metodologia utilizada tratou-se de uma revisão bibliográfica do tipo integrativa, de aspecto qualitativo e objetivo descritivo. Para elaboração e desenvolvimento deste trabalho, realizou- se um estudo bibliográfico na base de dados PubMed, MEDLINE e LILACS, na qual foram selecionados 20 artigos. Referente aos resultados dos estudos analisados, 30% (n=6) apontaram a ablação como uma importante intervenção terapêutica em pacientes com FA paroxística. Observaram melhor controle no ritmo cardíaco, sinais e sintomas, além de menores taxas de recorrência de episódios de FA quando sujeitos a esse procedimento em comparação aos usuários de fármacos antiarrítmicos. Outrossim, notou-se melhores desfechos primários e baixo risco de mortalidade em pacientes submetidos a ablação por cateter, no entanto, essa conduta foi associada a maior possibilidade de ocorrência de derrame pericárdico com tamponamento. No tocante ao tratamento para controle do ritmo, esse deve ser implementado precocemente para redução nos desfechos de eventos cardiovasculares. Destarte, o uso da terapia medicamentosa tem grande relevância na prevenção de eventos tromboembólicos, todavia, é limitada em relação a profilaxia de episódios de FA se comparada ao procedimento de ablação.
Night shift occupational risk related to breast cancer in nurses: A systematic review. [Riesgo laboral en turno nocturno relacionado al cáncer de mama en enfermeras: Una revisión sistemática]
Authors: Osorio Calle Yuli Pilar , Sebastian Aquino Katterin J. , Rodriguez  Matos Roxana L. , Meneses La Riva Mónica Elisa
Published: September 2022

Objective: To identify the scientific evidence of occupational risk in night shift related to breast cancer in nurses.

Methods: A review of the literature was carried out by consulting the following databases: PubMed, Science Direct, Scielo and Dialnet. Records were selected from 2012 to 2022, in Spanish, Portuguese and English on the topic of interest.

Results: After critical reading analysis, a total of 16 studies were identified. Most studies report the occupational risk of the nurse is related to breast cancer with night shifts more than 3 per month, melatonin, exposure to artificial light during the night, circadian rhythm among others.

Conclusions: Occupational risks are present, so the nurse in the face of increased risk of cancer should assume preventive-promotional self-care actions to promote their quality of life.
Event sequence segmentation for parallel processes
Authors: Kovács László , Polonkai Dávid
Published: September 2022

The robotic process mining focuses on the analysis of historical process sequences in order to build up a process model for the investigated field. One of the main tasks in robotic process mining is the construction of process schema for the input sequences. Usual methods are able to generate models using only baseline graph structures. In order to support high level structures like parallelism, the input event sequence structure must support additional attributes on the events. This paper presents a novel approach on sequence segmentation providing an intermediate graph structure which can be used to mine complex graph patterns. The tested prototype system contains a Python-based implementation of the proposed algorithm. In the paper, some tests are shown to illustrate the suitability of the proposed model.
Automated data-collection for personalized facial expression recognition in human-robot interaction
Authors: Adjailia Fouzia , Sincak Peter
Published: September 2022

Face recognition systems, which attempt to identify the emotions that a person is feeling, have been around for quite some time. Facial expression recognition is the technique of detecting facial expressions based on interpretations of patterns in a picture. Because every person's face is unique, when we apply these methods to pictures of people, we are able to identify their facial expressions as being unique. In this research, we build a web-based data collecting application that is completely automated and includes a virtual avatar to guide users through the procedure. The input data we dealt with included written input in the form of six emotions (anger, disgust, fear, happiness, surprise, and sorrow) plus neutral, as well as video footage with a length of 20 seconds for each. With the use of the data, a customized face expression recognition method based on deep learning architecture known as MobileNets would be developed.
General Tendencies in the Development of the Electronic Payment Services Market and the Problems of Ensuring the Economic Efficiency of Their Provision
Authors:   National University of Water Management and Natural Resources Use, Khanin Igor H. , Sopin Yevhen O. ,   National University of Water Management and Natural Resources Use
Published: September 2022

In the context of the evolvement of the digital economy, the use of digital technologies in the financial sector (FinTech) and for the purposes of payment (PayTech) is increasing. The global market of electronic payment services (EPS) is developing intensively, which actualizes the problems of its effectiveness. The aim of the study is: to determine the general tendencies in the development of the EPS market and the main problems of ensuring the economic efficiency of their provision. The study is based on an analytical frame that defined the analysis blocks and the sequence of material. Statistical, structural, functional, institutional, logical-historical analyses were used. The publication demonstrates the positive global dynamics of the EPS market development in close connection with the development of e-commerce. Structural trends in the development of the EPS market are distinguished. The specifics are defined and features of the functioning of this market are substantiated; attention is focused on the specificity of the EPS market in the EU and its elements. The peculiarities of formation of EPS market regulation systems, including in the EU, are shown. It is emphasized on the development of the EPS market in Ukraine and its integration into the international space. Strategies for the provision of EPS, types of strategies for expanding the activities of enterprises-providers of these services and the stage of their growth are singled out. The definition of problems of efficiency of EPS provision covers: adaptation to regulatory requirements, competitiveness (determinants defined), risk management, innovation activities (varieties of innovations defined), creation of payment ecosystems. The results have theoretical value, can be used in the practical activities of EPS providers, in the State regulation of this market and by the entrepreneurs interested in startups. In the future, it is planned to allocate the directions of increasing the level of economic efficiency of EPS provision, which will contribute to the development of the digital economy and cause positive social effects.