bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of conductive polymer filler on electrical conductivity and microhardness of composites with dielectric polymeric matrices
Authors: Martyniuk G. V. , Aksimentyeva O. I.
Published: February 2021

Nowadays special attention is given to the so-called "smart-materials" or "intellectual" materials, which have the ability to purposefully change their physical and physical-chemical properties depending on changing external conditions. Сonductive conjugated polymers - polyaniline (РАNi) and its derivatives may alter their properties in response to external action - exhibit sensory sensitivity, electrochromic, thermochromic and solvachromic effects. When creating РАNi composites with industrial polymer matrices, an important issue is to determine the physical and mechanical properties, in particular, of microhardness as a material strength characteristic.

Composite samples were obtained by the method of thermal pressing of highly dispersed powders of conductive polymers dispersed in polymer matrices. The mechanical properties of the composites were studied by the method of measuring microhardness and boundary microhardness on a Heppler consistometer. The determination of the electrical conductivity of the composites in the molded samples was determined by the standard 2-contact method at a temperature T = 293 K.

The influence of the acid doped polyaniline (РАNi) as an conductive polymer filler оn on the microhardness of composites with polymer matrices of different structure (polyvinyl alcohol (PVA), polymethylmethacrylate (PMMA), polybuthylmethacrylate (PBMA), epoxy resin ED-20) was studied. It is found that the nature of the interaction between the polymer matrix and the conductive polymer filler depends on its content and the structure of the matrix, which is manifested in the growth of microhardness for composites PBMA – РАNi and ED-20 - РАNi and its reduction for composites PVA– РАNi at the contents of the filler 5-20 %.

The dielectric polymer matrix preserves the properties inherent in both high polymers (high elasticity, thermoplasticity) and the semiconductor nature of the electrical conductivity inherent in the conjugated polymers. The value of the specific conductivity of the composites obtained well correlated with changes in microhardness, which is a confirmation of the enhancing or loosening nature of the interaction between the polymer matrix and the conductive polymeric filler.
“Da noite para o dia” o ensino remoto: (re)invenções de professores durante a pandemia
Authors: Dos Santos Elzanir , Lima Idelsuite de Sousa , De sousa Nadia Jane
Published: February 2021

A pandemia da Covid-19 desvelou, de forma inconteste, problemas estruturais do nosso país, dentre tantos, aqueles ligados às condições precárias de ensino e de aprendizagem. Confrontados diuturnamente por um discurso desvalorizante, os/as docentes têm assumido, no contexto atual, importância vital no empreendimento de ações que garantam educação a milhões de estudantes. Afetados/as em sua vida pessoal e profissional, de forma disruptiva, abrangente e intensa, estes/as profissionais são lançados em um enredo que os/as convoca a operar mudanças profundas no modo de ser, pensar e fazer seu cotidiano docente, a partir do ensino remoto. Objetivamos, portanto, responder neste artigo, dentre outras, a seguinte questão: Como professores/as têm dado forma e produzido sentidos ao seu ofício no contexto do ensino remoto? Tomamos como aporte teórico Delory-Momberguer (2012, 2016); Souza e Meireles (2018); Passeggi (2010), dentre outros, e assumimos como um de nossos pressupostos que o ato de narrar é parte constitutiva do humano e possibilita aos sujeitos atribuir sentido e interpretar suas experiências. Convidamos professores/as da Educação Básica a produzirem narrativas escritas ou orais, sobre o contexto do seu trabalho nas condições atuais, os quais fizeram emergir desafios, estratégias, (re)invenções, aprendizagens e possibilidades para um vir a ser.
Deconstruyendo el relato de una experiencia en el aula: serendipia emocional
Authors: Blanc Maria Inés
Published: February 2021

Las prácticas de autoevaluación son consideradas un insumo final para la Cátedra de Didáctica Especial y Práctica Docente del profesorado en Geografía de la Facultad de Humanidades de la UNMdP. En ella implementamos la tarea de (auto)reflexión de las clases de residencia a través de relatos y en pos del desarrollo de la buena enseñanza, consideramos a esta instancia como una manera de apropiarse del conocimiento en la práctica; tarea que no es fácil para los residentes, dado que suele resultarles complejo objetivar su propio desenvolvimiento dentro del aula y analizar de manera crítica sus intervenciones. Sin embargo, esta tarea, realizada a consciencia, redunda en valiosos aportes a la propia formación. Al revisar este relato reflexivo nos sorprendimos al encontrar un texto íntimo, emotivo, y de carácter autobiográfico, que disparó la inquietud por analizar a la luz de marcos teóricos algunas de las vivencias descriptas. Nuestro objetivo es dar la palabra al sentimiento de superación que se manifiesta en este escrito breve. A partir del proceso de lectura nos proponemos analizar la escritura autobiográfica de la estudiante y en un proceso de meta-narración ubicarnos en su contexto de espacio y tiempo para interpretarla, es decir deconstruir su relato para entenderlo. A ese texto decidimos considerarlo Serendipia Emocional. Utilizaremos metodología cualitativa, biográfico-narrativa y autoetnográfica, para compartir este trabajo que tiene como objetivo analizar y enriquecernos a partir de un texto reflexivo narrado en clave biográfica de una estudiante al momento de finalizar el prácticum.
Relación entre Manejo de emociones- sentimientos y relaciones interpersonales en adolescentes escolarizados de una Institución Educativa del municipio de Pasto
Authors: Moran-Cuastumal Lisbeth Vanessa , Ortiz-Cerón Diana Sofía
Published: February 2021

Resulta pertinente el abordaje de las habilidades emocionales y sociales, específicamente el manejo de emociones-sentimientos y las relaciones interpersonales, dado que hacen parte del desarrollo integral del ser humano y se les atribuye el ser responsables de gran parte del éxito en la vida de las personas. Así pues, en esta investigación se analiza la relación entre el manejo de emociones-sentimientos y relaciones interpersonales de una muestra de 57 adolescentes escolarizados, obtenida a través de un tipo de muestreo no probabilístico, de los cuales el 59,65 % corresponde a mujeres y el 40,35 % a hombres, con una edad promedio de 15 años y una desviación estándar de 0,77. Se planteó tres objetivos específicos: determinar el nivel del manejo de emociones-sentimientos, identificar el grado de las relaciones interpersonales y establecer la relación entre el nivel del manejo de emociones-sentimientos y el grado de las relaciones interpersonales en adolescentes de una institución educativa del municipio de Pasto, con el fin de evaluar el nivel y grado de cada una de las variables, acogiendo un paradigma cuantitativo con enfoque empírico-analítico; tipo de estudio correlacional y diseño no experimental-transversal. En la recolección de información se empleó la escala TMMS-24 y el inventario ERCA II. Considerando la prueba de normalidad de Kolmogórov Smirnov, los datos fueron analizados a través del coeficiente de correlación de Pearson, debido a que las variables siguen una distribución normal; estos hallazgos permiten concluir que existe relación estadísticamente significativa entre las dimensiones ‘Claridad emocional’ r(,41), ‘Reparación emocional’ r(,52) y la variable ‘Relaciones interpersonales’, con una dirección positiva; es decir, a mayor nivel del manejo de emociones-sentimientos, mejor grado en relaciones interpersonales se presenta en los adolescentes objeto de estudio. La dimensión ‘Atención emocional’ r (,14) de la variable ‘Manejo de emociones-sentimientos’ y la variable ‘Relaciones interpersonales’ no se relacionan entre sí. El componente emocional y la habilidad para la vida relaciones interpersonales representan un papel importante en las amistades que se persigue durante la etapa de la adolescencia media.
Zero viscosity and thermal diffusivity limit of the linearized compressible Navier–Stokes–Fourier equations in the half plane
Authors: Ding Yutao , Jiang Ning
Published: February 2021

We study the zero viscosity and thermal diffusivity limit of an initial boundary problem for the linearized Navier–Stokes–Fourier equations of a compressible viscous and heat conducting fluid in the half plane. We consider the case that the viscosity and thermal diffusivity converge to zero at the same order. The approximate solution of the linearized Navier–Stokes–Fourier equations with inner and boundary expansion terms is analyzed formally first by multiscale analysis. Then the pointwise estimates of the error terms of the approximate solution are obtained by energy methods. Thus establish the uniform stability for the linearized Navier–Stokes–Fourier equations in the zero viscosity and heat conductivity limit. This work is based on ( Comm. Pure Appl. Math. 52 ( 1999 ), 479–541) and generalize their results from isentropic case to the general compressible fluid with thermal diffusive effect. Besides the viscous layer as in ( Comm. Pure Appl. Math. 52 ( 1999 ), 479–541), the thermal layer appears and couples with the viscous layer linearly.
Domotics, Smart Homes, and Parkinson’s Disease
Authors: Simonet Cristina , Noyce Alastair J.
Published: February 2021

Technology has an increasing presence and role in the management of Parkinson’s disease. Whether embraced or rebuffed by patients and clinicians, this is an undoubtedly growing area. Wearable sensors have received most of the attention so far. This review will focus on technology integrated into the home setting; from fixed sensors to automated appliances, which are able to capture information and have the potential to respond in an unsupervised manner. Domotics also have the potential to provide ‘real world’ context to kinematic data and therapeutic opportunities to tackle challenging motor and non-motor symptoms. Together with wearable technology, domotics have the ability to gather long-term data and record discrete events, changing the model of the cross-sectional outpatient assessment. As clinicians, our ultimate goal is to maximise quality of life, promote autonomy, and personalise care. In these respects, domotics may play an essential role in the coming years.
Productivity in older versus younger workers: A systematic literature review
Authors: Viviani C.A. , Bravo G. , Lavallière M. , Arezes P.M. , Martínez M. , Dianat I. , Bragança S. , Castellucci H.I.
Published: February 2021

BACKGROUND: Worldwide ageing and thus, workforce ageing, is a concern for both developed and developing nations. OBJECTIVE: The aim of the current research was to determine, through a systematic literature review, the effects of age in three dimensions that are often used to define or assess productivity at work. METHODS: PICO framework was used to generate search strategies, inclusion criteria and terms. Scopus and PubMed databases were used. Peer-reviewed journal papers written in English and published (or in press) between January 2014 and December 2018 were included. RESULTS: After filtering through inclusion criteria, 74 papers were included in the review. Considering productivity, 41%of the findings showed no differences between younger and older workers, 31%report better productivity of younger workers and 28%reported that older workers had better productivity than younger workers. Performance was better in older workers (58%), presenteeism generally showed no significant differences between age groups (61%). Absenteeism was the only outcome where younger workers outperformed older workers (43%). CONCLUSION: Overall, there was no difference in productivity between older and younger workers. Older workers performed better than younger workers, but had more absenteeism, while presenteeism showed no differences. As ageing has come to workplaces, holistic approaches addressing total health are suggested to overcome the worldwide workforce ageing phenomenon.
Classification of high knee flexion postures using EMG signals
Authors: Laudanski Annemarie F. , Acker Stacey M.
Published: February 2021

BACKGROUND: High knee flexion postures are often adopted in occupational settings and may lead to increased risk of knee osteoarthritis. Pattern recognition algorithms using wireless electromyographic (EMG) signals may be capable of detecting and quantifying occupational exposures throughout a working day. OBJECTIVE: To develop a k-Nearest Neighbor (kNN) algorithm for the classification of eight high knee flexion activities frequently observed in childcare. METHODS: EMG signals from eight lower limb muscles were recorded for 30 participants, signals were decomposed into time- and frequency-domain features, and used to develop a kNN classification algorithm. Features were reduced to a combination of ten time-domain features from 8 muscles using neighborhood component analysis, in order to most effectively identify the postures of interest. RESULTS: The final classifier was capable of accurately identifying 80.1%of high knee flexion postures based on novel data from participants included in the training dataset, yet only achieved 18.4%accuracy when predicting postures based on novel subject data. CONCLUSIONS: EMG based classification of high flexion postures may be possible within occupational settings when the model is first trained on sample data from a given individual. The developed algorithm may provide quantitative measures leading to a greater understanding of occupation specific postural requirements.
The combined effect of industrial noise type, level and frequency characteristics on hand motor skills: A lab trial study
Authors: Nassiri Parvin , Monazzam Mohammad Reza , Dehghan Somayeh Farhang , Teimori Gholamheidar , Zakerian Seyed Abolfazl , Azam Kamal , Asghari Mehdi
Published: February 2021

BACKGROUND: The study aimed to assess the interactive effects of industrial noise type, level and frequency characteristics on hand motor skills using the Minnesota Manual Dexterity Test and the Hand Tool Dexterity Test. METHODS: A total of ten nonsmoking male volunteers with normal hearing and vision were selected for this study. The study followed a full 3×3×2 factorial design. Independent variables were noise type (steady, intermittent and fluctuating), noise level (75, 85 and 95 dBA) and frequency characteristics (“roar” <2000 Hz and “hiss” >2000 Hz). RESULTS: For Minnesota Manual Dexterity Test, the lowest speed is related to steady hiss noise at 75 dBA and the highest speed is related to fluctuating roar noise at 95 dBA. The speed is being significantly affected by the frequency characteristic (P = 0.041) and noise type (P = 0.025). The effect of hiss noise on speed is greater than roar noise (P = 0.038). There is a significant difference (P = 0.035) between continuous noise and fluctuating noise. For the Hand Tool Dexterity Test, the lowest speed is related to fluctuating hiss noise at 95 dBA and the highest speed is related to steady roar noise at 95 dBA. The speed is being significantly affected by the frequency characteristic (P = 0.002), noise type (P = 0.0001) and noise level (P = 0.005). The effect of hiss noise on response variable to be greater than roar noise (P = 0.008). There is a significant difference (P = 0.0001) between steady noise and the two other types of noise, and also there is a significant difference between 75 dBA and 85 dBA level (P = 0.003). CONCLUSIONS: The results showed that on hand motor skills, speed response was influenced by three characteristics: the type of noise, frequency characteristics and noise level. Also, the effect of the hiss noise was more than the roar noise.
Presenteeism in small and medium-sized enterprises: Determinants and impacts on health
Authors: Knani Mouna , Fournier Pierre-Sébastien , Biron Caroline
Published: February 2021

Background: Small and medium sized enterprises are yet uncharted territory in terms of presenteeism. In addition, the Demand-Control-Support (DCS) and Siegrist’s Effort-Reward Imbalance (ERI) models are proposed to predict stress-related health problems, but not for sickness behaviors such as presenteeism. Objective: This study aims to examine the relationships between psychosocial risk factors, presenteeism, mental and physical health in the context of small and medium-sized enterprises (SMEs). This study also examines the moderating effect of company size on these associations. Methods: To test the association between psychosocial risks, presenteeism, and health, only people working in small and medium-sized enterprises (SMEs) of between 2 and 199 employees were included in the sample, giving a total of 2,525 SME employees surveyed. To test the differences in exposure to psychosocial risk and presenteeism, and the moderating impact of size on the relationship between psychosocial risks, presenteeism, and health, we took the original sample (4608) of the EQCOTESST. Results: The results confirm the associations between job demands, social support and effort-reward imbalance, and presenteeism. Also, the associations between presenteeism and health problems in SMEs’ context. Multi-group analyses show that the business’s size does not moderate the strength of the relationships between psychosocial risks, presenteeism and health. Conclusion: The current study highlights that SMEs are somehow protected from certain psychosocial constraints such as high job demands, and low social support, but are more exposed to others such as effort-reward imbalance.
Need for developing a security robot-based risk management for emerging practices in the workplace using the Advanced Human-Robot Collaboration Model
Authors: Zheyuan Cui , Rahman Md Arafatur , Tao Hai , Liu Yao , Pengxuan Du , Yaseen Zaher Mundher
Published: February 2021

BACKGROUND: The increasing use of robotics in the work of co-workers poses some new problems in terms of occupational safety and health. In the workplace, industrial robots are being used increasingly. During operations such as repairs, unmanageable, adjustment, and set-up, robots can cause serious and fatal injuries to workers. Collaborative robotics recently plays a rising role in the manufacturing filed, warehouses, mining agriculture, and much more in modern industrial environments. This development advances with many benefits, like higher efficiency, increased productivity, and new challenges like new hazards and risks from the elimination of human and robotic barriers. OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace. RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk. CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.
Security robot for the prevention of workplace violence using the Non-linear Adaptive Heuristic Mathematical Model
Authors: Tao Hai , Rahman Md Arafatur , AL-Saffar Ahmed , Zhang Renrui , Salih Sinan Q. , Zain Jasni Mohamad , Al-Hajri Al-Anood M.
Published: February 2021

BACKGROUND: Nowadays, workplace violence is found to be a mental health hazard and considered a crucial topic. The collaboration between robots and humans is increasing with the growth of Industry 4.0. Therefore, the first problem that must be solved is human-machine security. Ensuring the safety of human beings is one of the main aspects of human-robotic interaction. This is not just about preventing collisions within a shared space among human beings and robots; it includes all possible means of harm for an individual, from physical contact to unpleasant or dangerous psychological effects. OBJECTIVE: In this paper, Non-linear Adaptive Heuristic Mathematical Model (NAHMM) has been proposed for the prevention of workplace violence using security Human-Robot Collaboration (HRC). Human-Robot Collaboration (HRC) is an area of research with a wide range of up-demands, future scenarios, and potential economic influence. HRC is an interdisciplinary field of research that encompasses cognitive sciences, classical robotics, and psychology. RESULTS: The robot can thus make the optimal decision between actions that expose its capabilities to the human being and take the best steps given the knowledge that is currently available to the human being. Further, the ideal policy can be measured carefully under certain observability assumptions. CONCLUSION: The system is shown on a collaborative robot and is compared to a state of the art security system. The device is experimentally demonstrated. The new system is being evaluated qualitatively and quantitatively.
Design of a workstation based on a human-interfacing robot for occupational health and safety
Authors: Yu Ke , Zhang Liyun , Zhang Yanling , Yu Qian , Li Xiaohong , Krishnamoorthy Sujatha
Published: February 2021

BACKGROUND: Robots communicate with the physical world program with the mechanic’s simulations. They recommend that people-to-people robotics will prepare for cognitive models. Presently, there is a considerable concern for greater flexibility and efficiency in the scope of human-robot interfacing collaboration across hospitals. Nevertheless, interfacing is still in its infancy in manufacturing; industrial practitioners have many questions and doubts about the efficiency of the device and the health of human operators. OBJECTIVES: Therefore, research on processes and methods of design is required to ensure that the intended human-computer interaction-based workstations effectively meet system performance, human safety, and ergonomics standards for realistic applications. This study provides a design process for a workstation appropriate for occupational health and safety. This article outlines the perspectives learned from incorporation into the preparation and operation of robotics of digital cognitive models. RESULTS: This ends with an overarching game-theoretical model of contact and analyses how different approaches contribute to effective communicating activities for the robot in its interaction with people. CONCLUSION: The new feature of this design process is the approach for testing alternative workstation designs, taking into account efficiency and safety features with computer simulations.
Security and privacy issues related to the workplace-based security robot system
Authors: Guangnan Zhang , Tao Hai , Rahman Md Arafatur , Yao Liu , AL-Saffar Ahmed , Meng Qiao , Liu Wei , Yaseen Zaher Mundher
Published: February 2021

BACKGROUND: An isolated robot must take account of uncertainty in its world model and adapt its activities to take into account such as uncertainty. In the same way, a robot interaction with security and privacy issues (RISAPI) with people has to account for its confusion about the human internal state, as well as how this state will shift as humans respond to the robot. OBJECTIVES: This paper discusses RISAPI of our original work in the field, which shows how probabilistic planning and system theory algorithms in workplace robotic systems that work with people can allow for that reasoning using a security robot system. The problem is a general way as an incomplete knowledge 2-player game. RESULTS: In this general framework, the various hypotheses and these contribute to thrilling and complex robot behavior through real-time interaction, which transforms actual human subjects into a spectrum of production systems, robots, and care facilities. CONCLUSION: The models of the internal human situation, in which robots can be designed efficiently, are limited, and achieve optimal computational intractability in large, high-dimensional spaces. To achieve this, versatile, lightweight portrayals of the human inner state and modern algorithms offer great hope for reasoning.
FPLP3D: Security robot for face recognition in the workplace environment using face pose detection assisted controlled FACE++ tool position: A three-dimensional robot
Authors: Han Meifeng , Zhang Fuli , Ning Ning , Zhou Junwei , Shanthini A. , Vivekananda G.N.
Published: February 2021

BACKGROUND: In recent years, several tracker systems have been developed to monitor a 3-dimensional skull position for facial action whereas, various tracker systems simultaneously analyze the single sequence of video, which can be provided with low-quality cameras and less security. Initially, implementing a 2-D face detector and an unrepentance system has been suggested; furthermore, it has been improved using an integrated 3-D face initialized scheme for the real-time tracker in the present face recognition systems. OBJECTIVES: To overcome the present setbacks of the conventional systems, Face Pose Detection assisted controlled FACE++ tool position of Three-Dimensional Robot (FPLF3D) has been proposed in this article. Furthermore, the suggested proposed configuration has a high-end monitoring approach, which is used to improve the reliability of the robot’s human-machine contact in the workplace environment for security assistance. Additionally, the robot’s direction can be controlled by the operator’s head position assessment of the camera (or any active viewing system) using a three-dimensional robot. RESULTS: Besides, the applications that are imitated by headers like telepresence, computer-generated reality, and video competitions will directly take advantage of the strategies introduced in this paper. CONCLUSION: Finally, real video tests at the lab-scale level show the accuracy and usefulness of the approaches proposed in this research outperform the existing methods used for tracking.
Meta-Heuristic Feature Optimization for ontology-based data security in a campus workplace with robotic assistance
Authors: Gong Suning , Dinesh Jackson Samuel R. , Pandian Sanjeevi
Published: February 2021

BACKGROUND: For campus workplace secure text mining, robotic assistance with feature optimization is essential. The space model of the vector is usually used to represent texts. Besides, there are still two drawbacks to this basic approach: the curse and lack of semantic knowledge. OBJECTIVES: This paper proposes a new Meta-Heuristic Feature Optimization (MHFO) method for data security in the campus workplace with robotic assistance. Firstly, the terms of the space vector model have been mapped to the concepts of data protection ontology, which statistically calculate conceptual frequency weights by term various weights. Furthermore, according to the designs of data protection ontology, the weight of theoretical identification is allocated. The dimensionality of functional areas is reduced significantly by combining standard frequency weights and weights based on data protection ontology. In addition, semantic knowledge is integrated into this process. RESULTS: The results show that the development of the characteristics of this process significantly improves campus workplace secure text mining. CONCLUSION: The experimental results show that the development of the features of the concept hierarchy structure process significantly enhances data security of campus workplace text mining with robotic assistance.
RERS-CC: Robotic facial recognition system for improving the accuracy of human face identification using HRI
Authors: Jing Wang , Tao Hai , Rahman Md Arafatur , Kabir Muhammad Nomani , Yafeng Li , Zhang Renrui , Salih Sinan Q. , Zain Jasni Mohamad
Published: February 2021

BACKGROUND: Human-Computer Interaction (HCI) is incorporated with a variety of applications for input processing and response actions. Facial recognition systems in workplaces and security systems help to improve the detection and classification of humans based on the vision experienced by the input system. OBJECTIVES: In this manuscript, the Robotic Facial Recognition System using the Compound Classifier (RERS-CC) is introduced to improve the recognition rate of human faces. The process is differentiated into classification, detection, and recognition phases that employ principal component analysis based learning. In this learning process, the errors in image processing based on the extracted different features are used for error classification and accuracy improvements. RESULTS: The performance of the proposed RERS-CC is validated experimentally using the input image dataset in MATLAB tool. The performance results show that the proposed method improves detection and recognition accuracy with fewer errors and processing time. CONCLUSION: The input image is processed with the knowledge of the features and errors that are observed with different orientations and time instances. With the help of matching dataset and the similarity index verification, the proposed method identifies precise human face with augmented true positives and recognition rate.
Industrial Internet of Things for smart manufacturing applications using Hierarchical Trustful Resource Assignment
Authors: Pingli Duan , Muthu Bala Anand , Kadry Seifedine Nimer
Published: February 2021

BACKGROUND: The manufacturing industry undergoes a new age, with significant changes taking place on several fronts. Companies devoted to digital transformation take their future plants inspired by the Internet of Things (IoT). The IoT is a worldwide network of interrelated physical devices, which is an essential component of the internet, including sensors, actuators, smart apps, computers, mechanical machines, and people. The effective allocation of the computing resources and the carrier is critical in the Industrial Internet of Things (IIoT) for smart production systems. Indeed, the existing assignment method in the smart production system cannot guarantee that resources meet the inherently complex and volatile requirements of the user are timely. Many research results on resource allocations in auction formats which have been implemented to consider the demand and real-time supply for smart development resources, but safety privacy and trust estimation issues related to these outcomes are not actively discussed. OBJECTIVES: The paper proposes a Hierarchical Trustful Resource Assignment (HTRA) and Trust Computing Algorithm (TCA) based on Vickrey Clarke-Groves (VGCs) in the computer carriers necessary resources to communicate wirelessly among IIoT devices and gateways, and the allocation of CPU resources for processing information at the CPC. RESULTS: Finally, experimental findings demonstrate that when the IIoT equipment and gateways are valid, the utilities of each participant are improved. CONCLUSION: This is an easy and powerful method to guarantee that intelligent manufacturing components genuinely work for their purposes, which want to integrate each element into a system without interactions with each other.
Screening of COVID-19 based on the extracted radiomics features from chest CT images
Authors: Rezaeijo Seyed Masoud , Abedi-Firouzjah Razzagh , Ghorvei Mohammadreza , Sarnameh Samad
Published: February 2021

BACKGROUND AND OBJECTIVE: Radiomics has been widely used in quantitative analysis of medical images for disease diagnosis and prognosis assessment. The objective of this study is to test a machine-learning (ML) method based on radiomics features extracted from chest CT images for screening COVID-19 cases. METHODS: The study is carried out on two groups of patients, including 138 patients with confirmed and 140 patients with suspected COVID-19. We focus on distinguishing pneumonia caused by COVID-19 from the suspected cases by segmentation of whole lung volume and extraction of 86 radiomics features. Followed by feature extraction, nine feature-selection procedures are used to identify valuable features. Then, ten ML classifiers are applied to classify and predict COVID-19 cases. Each ML models is trained and tested using a ten-fold cross-validation method. The predictive performance of each ML model is evaluated using the area under the curve (AUC) and accuracy. RESULTS: The range of accuracy and AUC is from 0.32 (recursive feature elimination [RFE]+Multinomial Naive Bayes [MNB] classifier) to 0.984 (RFE+bagging [BAG], RFE+decision tree [DT] classifiers) and 0.27 (mutual information [MI]+MNB classifier) to 0.997 (RFE+k-nearest neighborhood [KNN] classifier), respectively. There is no direct correlation among the number of the selected features, accuracy, and AUC, however, with changes in the number of the selected features, the accuracy and AUC values will change. Feature selection procedure RFE+BAG classifier and RFE+DT classifier achieve the highest prediction accuracy (accuracy: 0.984), followed by MI+Gaussian Naive Bayes (GNB) and logistic regression (LGR)+DT classifiers (accuracy: 0.976). RFE+KNN classifier as a feature selection procedure achieve the highest AUC (AUC: 0.997), followed by RFE+BAG classifier (AUC: 0.991) and RFE+gradient boosting decision tree (GBDT) classifier (AUC: 0.99). CONCLUSION: This study demonstrates that the ML model based on RFE+KNN classifier achieves the highest performance to differentiate patients with a confirmed infection caused by COVID-19 from the suspected cases.
Analisis Penerapan Sistem dan Prosedur Akuntansi Aset di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kota Magelang
Authors: Fimanto Fajrie , Rani Utpala
Published: February 2021

Akuntansi aset adalah sumber daya ekonomi yang dimiliki dan dikelola oleh pemerintah daerah. Sistem akuntansi aset merupakan alat pengendali dalam mengelola aset yang digunakan oleh Unit Kerja Regional. Tujuan penelitian adalah untuk mempelajari apakah Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kota Magelang sudah menerapkan sistem dan prosedur akuntansi dengan baik seperti yang tercantum dalam Peraturan Pemerintah No. 17 tahun 2007 tentang Standar Akuntansi Pemerintahan dan Peraturan Menteri Dalam Negeri No. 64 dari 2013 tentang penerapan standar akuntansi pemerintah berbasis akrual. Metode dalam penelitian ini adalah metode analisis deskriptif. Hasil yang diperoleh dari penelitian ini mengenai Sistem dan Prosedur Akuntansi Aset yang diterapkan oleh Kantor Investasi dan Layanan Terpadu Satu Pintu Kota Magelang, sesuai dengan Peraturan Menteri Dalam Negeri Nomor 17 Tahun 2007 tentang Standar Akuntansi Pemerintahan dan Peraturan Menteri Dalam Negeri Nomor 64 Tahun 2013. Standar Akuntansi Pemerintahan Berbasis Akrual. Peneliti memberikan saran untuk lebih meningkatkan sistem dan prosedur akuntansi untuk aset sesuai dengan peraturan yang ada dan melakukan pelatihan teknis untuk meningkatkan keahlian akuntansi khususnya dalam pengelolaan aset
Keanekaragaman dan Kemelimpahan Tumbuhan Paku di Cagar Alam Donoloyo sebagai Bahan Pengembangan Multimedia Interaktif Biologi di SMA
Authors: Hasanah Fitria Nur
Published: February 2021

This study aims 1) to determine the index of species abundance, characteristics, morphology of ferns in the nature reservearea of Donoloyo, Watusomo, slogohimo 2) to obtain an alternative source of learning biology in high school about the abundance of ferns based on interactive multimedia in the form CD 3) to find out the multimedia validation of interactive learning biology of ferns. This research method is descriptive quantitative exploration, the instrument used is a direct observation technique with the quadrat method and validation sheet. The results of the study showed that in the Donoloyo nature reserve, 12 species of ferns were found in 2 classes and 5 families which showed in the medium category. Observations of ferns are used as learning resources in the form of interactive multimedia learning. The quality of interactive media assessed by 3 validators namely material experts, media experts, and biology teacher get a percentage >80% (very valid) interactive multimedia is ready to be used as a learning media for biology in high school.
Ressenyes bibliogràfiques
Authors: Autors Diversos
Published: February 2021

Ressenyes bibliogràfiques
«Pensemus qualiter viri prehonorati a propria diverterunt» (DVE, I, xiv, 5): els textos occitans d’un cercle de poetes toscans
Authors: Wells Courtney Joseph
Published: February 2021

Abstract: This article re-examines a set of Occitan texts written by a circle of Tuscan poets and their importance for understanding the reception of troubadour culture in medieval Tuscany. Often viewed as marginal, these texts have not been adequately analyzed for what
they can tell us about the use of Occitan as a literary language in Italy at the end of the thirteenth and the beginning of the fourteenth centuries. Instead of casting them as unoriginal, derivative, or linguistically incorrect attempts at Occitan composition by foreign poets, this article considers their originality, innovation, and the transformations they may have undergone in their transmission history. Arguing that these texts be viewed as invaluable evidence of a vibrant Occitanophone literary culture in Tuscany, I advocate for further inquiry into the multilingual compositions of this circle of Tuscan poets.

Keywords: Dante Alighieri, Occitan Literature in Italy, Occitan Literature in Catalonia, Medieval Multilingualism, Sonnet.
Current treatment and recent progress in gastric cancer
Authors: Joshi Smita S. , Badgwell Brian D.
Published: February 2021

Gastric cancer is not a top‐10 malignancy in the United States but represents one of the most common causes of cancer death worldwide. Biological differences between tumors from Eastern and Western countries add to the complexity of identifying standard‐of‐care therapy based on international trials. Systemic chemotherapy, radiotherapy, surgery, immunotherapy, and targeted therapy all have proven efficacy in gastric adenocarcinoma; therefore, multidisciplinary treatment is paramount to treatment selection. Triplet chemotherapy for resectable gastric cancer is now accepted and could represent a plateau of standard cytotoxic chemotherapy for localized disease. Classification of gastric cancer based on molecular subtypes is providing an opportunity for personalized therapy. Biomarkers, in particular microsatellite instability (MSI), programmed cell death ligand 1 (PD‐L1), human epidermal growth factor receptor 2 (HER2), tumor mutation burden, and Epstein‐Barr virus, are increasingly driving systemic therapy approaches and allowing for the identification of populations most likely to benefit from immunotherapy and targeted therapy. Significant research opportunities remain for the less differentiated histologic subtypes of gastric adenocarcinoma and those without markers of immunotherapy activity.
Morphogenesis lymph node of domestic pig
Authors: Gavrilina E. , Kolesnyk A.
Published: February 2021

The visceral and somatic lymph nodes of a pig of domestic 1-120 day old were examined. Found that the lymph nodes have a common connective tissue capsule and different levels of fusion of individual subunits. In the center of each subunit, the capsule forms invaginations of the capsular trabecula, dividing the parenchyma of each structural unit into «Ʊ»-shaped structures, fused with lateral and lower parts. The number and degree of fusion of subunits is different and depends on the age of the animals and the location of the lymph node. The greatest degree of fusion of individual units of the lymph node was found in the superficial cervical and axillary I ribs. In the mandibular, superficial parotid and superficial inguinal lymph nodes, the segments are clearly contoured already in newborn piglets. Segments are predominantly bean-spherical in shape with a wide base. The fusion of the segments occurs in their central part, and on the surface the gates of the subunits are clearly contoured in the form of numerous depressions. In the visceral lymph nodes, the portal and splenic lymph nodes have the smallest segmentation, and the gastric, tracheobronchial, and iliocolic lymph nodes are the largest. The number of segments varies from two in newborn piglets to five in 120-day-old pigs. The variability of the morphometric parameters of the lymph nodes of a domestic pig is due to a different number of afferent lymphatic vessels, and, accordingly, to different scales of the lymphatic basins. Thus, the lymph nodes of the domestic pig are complexes of subunits fused to varying degrees. Somatic lymph nodes are highly segmented. The degree of consolidation of subunits in the visceral lymph nodes is less pronounced. Linear measurements of organs vary depending on the age of the animals, gradually increasing up to 120 days with a tendency for these indicators to prevail in the somatic lymph nodes. Key words: domestic pig, lymph node, subunit, topography, morphometry
Risk factors for acute kidney injury in postoperative cardiac surgery
Authors: Costa Mario Augusto Cray da , Kuchller Stella , Botta Vanessa Carolina , Schuinski Adriana de Fátima Menegat , Souza Ana Carolina Mello Fontoura de
Published: February 2021

Objective: To evaluate the perioperative risk factors associated with postoperative AKI in patients undergoing cardiac surgery. Methodology: Between January 2011 and December 2017, we analyzed prospectively 544 patients, who were divided into two groups: patients with acute kidney injury associated with cardiac surgery (AKI-ACS) defined as an increase of 0.3 mg/dL or 1.5 times the baseline serum creatinine value and control group formed by patients without AKI-ACS. We compared patients and surgical variables using the chi-square test, Fisher's exact test, and mann-Whitney test and logistic regression. Results: AKI-ACS occurred in 29.8% of the patients. In the univariate analysis, the following variables presented a statistically significant difference: male gender (p=0.0087), age (p<0.0001), body mass (p=0.035), BMI (p=0.001), thoracic aortic surgery (p=0.029), use of extracorporeal circulation (p=0.012), CPB time (p=0.0001), aortic clamping time (p=0.0029), use of vasoactive drugs in post-operative  period (p=0.017), preoperative kidney function (p<0.0001), presence of diabetes mellitus (p=0.008) and NYHA functional class (p=0.041). In the multivariate analysis, the following variables presented a statistical difference: male gender (OR 2.11), higher BMI (OR 2.11), worse preoperative renal function, demonstrated by creatinine clearance (OR 0.13), longer cardiopulmonary bypass (OR 1.008). Conclusion: The independent predictors for LRA-ACC were male gender, higher body mass index, worse preoperative renal function, and more complex surgeries associated with longer cardiopulmonary bypass.
Fatores associados ao clima ético em ambiente hospitalar
Authors: Schutz Thais Costa , Lanes Tais Carpes , Villagran Camila Antunez , Bernardi Camila Milene Soares , Dalmolin Graziele de Lima
Published: February 2021

Introdução: Os profissionais apresentam diversos problemas relacionados à ética no ambiente de trabalho, logo, um clima ético positivo pode promover satisfação no trabalho e bem-estar social dos profissionais, tendo como objetivo identificar nas produções científicas os fatores associados ao clima ético em ambiente hospitalar. Método: Revisão integrativa realizada a partir da pergunta de pesquisa “Quais os fatores associados ao clima ético em ambiente hospitalar?” A busca foi realizada na base de dados Web Of Science,  SAGE Journals Online e  Nursing and Allied Health Literature, foram encontrados 399 artigos e selecionados 12 para análise. Resultados: O clima ético apresentou associação com fatores relacionados ao trabalho, como satisfação no trabalho; intensão de rotatividade; comprometimento organizacional; sofrimento moral; liderança; coragem moral; competência profissional; suporte e comportamento organizacional Discussão: Os achados mostraram que há resultados significativos e positivos em relação ao clima ético e fatores associados identificados neste estudo. Assim, apresentando resultados positivos haverá maior compatibilidade para o clima ético ser desejável no ambiente de trabalho. Conclusão: Este estudo mostra que há predomínio de associação entre clima ético e satisfação no trabalho, intensão de rotatividade, e comprometimento organizacional. Enfatiza-se a necessidade de estratégias organizacionais para proporcionar um clima ético de trabalho adequado a fim de garantir a predominância no atendimento. Além disso, é de suma importância fornecer esforços educacionais como orientação e programa de treinamento sobre ética para garantir um domínio de princípios.
Characterization of a novel ADP-ribosylation factor gene from Macrobrachium nipponense and its response to ammonia nitrogen stress
Authors: Guo L , Sun B , Chen D , Yi C , Teng J , Yu J , Wang S , Ru Y , Wang H
Published: February 2021

ADP-ribosylation factors (Arfs) are guanosine triphosphate (GTP)-binding proteins that play essential roles in membrane trafficking, and they have been recently reported to be involved in innate immunity in crustaceans. However, little information is available on Arfs in the oriental river prawn Macrobrachium nipponense and their response to ammonia nitrogen stress. In this study, we identified a novel M. nipponense Arfn gene (MnArfn). The full-length cDNA of MnArfn was 1076 bp. It contained a 537 bp open reading frame (ORF) and encoded a 178 amino acid protein with a predicted molecular weight of 19.85 kDa. Sequence and phylogenetic analyses showed that MnArfn was an unidentified Arf, sharing 55-61% identity with other known Arfs. Quantitative real-time PCR (qPCR) indicated that all examined tissues (hepatopancreas, stomach, gill, heart, muscle, and eyestalk) expressed MnArfn. Hepatopancreas and gills, 2 organs involved in environmental stress management, had the highest expression. Under conditions of ammonia nitrogen stress, MnArfn expression in hepatopancreas and gills was significantly up-regulated at 6, 12, and 24 h. Western blotting experiments also revealed that MnArfn was distributed in all examined tissues, with the highest expression in hepatopancreas and gills, consistent with qPCR results. The findings from this study indicate that MnArfn may play an important role in the response of M. nipponense to ammonia nitrogen stress, which provides a new avenue to study the resistance mechanism(s) of crustaceans to ammonia nitrogen and to screen for individuals with resistance to unfavorable environments.
Measurement of Global Value Chain (GVC) Participation in World Development Report 2020
Authors: Dutta Sourish
Published: February 2021

As we can understand with the spread of GVCs, a lot of new questions emerge regarding the measurement of participation and positioning in the globalised production process. The World Development Report (WDR) 2020 explains the GVC phenomenon and then focus on participation and the prospects especially in a world of change in technology. From the overview section, we can figure out that nowadays, goods and services flow across borders as intermediate inputs rather than final goods. In traditional trade, we need two countries with the notions of export and import. However, in GVC trade, the goods and services cross borders multiple times requiring more than two countries. Remarkable improvements in information, communication, and transport technologies have made it possible to fragment production across national boundaries. So the question is: how to conceptualise this type of new trade to justify the measurement of participation.