bluuebunny/crossref_metadata_2025 huggingface dataset:
Health Index Framework for Condition Monitoring and Health Prediction
Authors: Kamtsiuris Alexander Athanasios , Raddatz Florian , Wende Gerko
Published: July 2022

In the field of Maintenance, Repair and Overhaul (MRO), stakeholders such as operators or service providers have to keep track of the health status of fleets of complex systems. The ability to estimate the future health status of these systems and their components becomes more pivotal when seeking to efficiently operate and maintain these systems. Today, these stakeholders have access to a lot of different data sources regarding fleet, operation schedule, ambient condition, system and component information. Many different prognostic methods from different disciplines are available and will further improve henceforward. In many cases these data sources and methods function as isolated methods in their own field. This fragmentation makes a holistic prognosis very challenging in many cases. Therefore, stakeholders need information integrating methods and tools to gain an exhaustive insight into the health status development of the complex assets they are operating or maintaining, in order to make well-founded decisions regarding operation or maintenance planning. In this paper, a Python-based health index framework is presented. It enables users to integrate operation schedules of different detail levels with enriching data sources such as ambient condition data. Furthermore, it provides methods to design complex asset systems which are linked via their construction, function or degradation mechanisms/ health indices via transfer relations. It allows to monitor the asset’s condition based on operation data and to simulate different operation scenarios regarding the health index development.
Forecasting Piston Rod Seal Failure Based on Acoustic Emission Features in ARIMA Model
Authors: Pedersen Jørgen. F. , Schlanbusch Rune , Shanbhag Vignesh. V.
Published: July 2022

Fluid leakage due to piston rod seal failure in hydraulic cylinders results in unscheduled maintenance, machine downtime and loss of productivity. Therefore, it is vital to understand the piston rod seal failure at initial stages. In literature, very few attempts have been made to implement forecasting techniques for piston rod seal failure in hydraulic cylinders using acoustic emission (AE) features. Therefore, in this study, we aim to forecast piston rod seal failure using AE features in the auto regressive integrated moving average (ARIMA) model. AE features like root mean square (RMS) and mean absolute percentage error (MAPE) were collected from run-to-failure (RTF) tests that were conducted on a hydraulic test rig. The hydraulic test rig replicates the piston rod movement and fluid leakage conditions similar to what is normally observed in hydraulic cylinders. To assess reliability of our study, two RTF tests were conducted at 15 mm/s and 25 mm/s rod speed each. The process of seal wear from unworn to worn state in the hydraulic test rig was accelerated by creating longitudinal scratches on the piston rod. An ARIMA model was developed based on the RMS features that were calculated from four RTF tests. The ARIMA model can forecast the RMS values ahead in time as long as the original series does not experience any large shifts in variance or deviates heavily from the normal increasing trend. The ARIMA model provided good accuracy in forecasting the seal failure in at least two of four RTF tests that were conducted. The ARIMA model that was fitted with 15 pre-samples was used to forecast 10 out of sequence samples, and it showed a maximum moving absolute percentage error (MAPE value) of 28.99 % and a minimum of 4.950 %. The forecasting technique based on ARIMA model and AE features proposed in this study lays a strong basis to be used in industries to schedule the seal change in hydraulic cylinders.
Expert Knowledge Induced Logic Tensor Networks: A Bearing Fault Diagnosis Case Study
Authors: Radtke Maximilian-Peter , Bock Jurgen
Published: July 2022

In the recent past deep learning approaches have achieved some remarkable results in the area of fault diagnostics and anomaly detection. Nevertheless, these algorithms rely on large amounts of data, which is often not available, and produce outputs, which are hard to interpret. These deficiencies make real life applications difficult. Before the broad success of deep learning machine faults were often classified using domain expert knowledge based on experience and physical models. In comparison, these approaches only require small amounts of data and produce highly interpretable results. On the downside, however, they struggle to predict unexpected patterns hidden in data. Merging these two concepts promises to increase accuracy, robustness and interpretability of models. In this paper we present a hybrid approach to combine expert knowledge with deep learning and evaluate it on rolling element bearing fault detection. First, we create a knowledge base for fault classification derived from the expected physical attributes of different faults in the envelope spectrum of vibration signals. This knowledge is used to derive a similarity function for comparing input signals to expected faulty signals. Afterwards, the similarity measure is incorporated into different neural networks using a Logic Tensor Network (LTN). This enables logical reasoning in the loss function, in which we aim to mimic the decision process of an expert analyzing the input data. Further, we extend LTNs by weight schedules for axiom groups. We show that our approach outperforms the baseline models on two bearing fault data sets with different attributes and directly gives a better understanding of whether or not fault signals are influenced by other effects or behave as expected.
Design and validation of scalable PHM solutions for aerospace onboard systems
Authors: Federici Fabio , Tonelli Cecilia , Le Cam Mathieu , Torchio Marcello , Larsen David
Published: July 2022

In recent years, Prognostic & Health Management (PHM) has become a topic of strong interest in the aerospace domain. Health assessment and remaining useful life estimation for on-board systems provide several advantages, mainly related to the increased analysis capabilities and the reduction of maintenance interventions (and, consequently, of operating costs). For this reason, it is of interest for the aerospace industry to identify and define efficient strategies both for the introduction of native PHM capabilities in new generation on-board systems and for the retrofit of existing ones. This paper proposes a strategy for the scalable deployment of PHM techniques for on-board systems, with particular focus on edge computing capabilities. Different reference scenarios (ranging from cloud-based processing to local-only processing) are presented, and an edge-focused PHM architecture is discussed in detail, with the relative challenges addressed. The design and validation of proposed edge-based solution is described, with specific reference to its support for an existing data analytics framework. The solution is then assessed against a reference aerospace use case involving a representative aircraft braking system, focusing on computational aspects to highlight the compatibility of the proposed deployment strategy with efficient on-board computations.
Joint Autoencoder-Classifier Model for Malfunction Identification and Classification on Marine Diesel Engine Diagnostics Data
Authors: Ince Kurçat , Koçak Gazi , Genc Yakup
Published: July 2022

There has been an increasing demand on marine transportation and traveling, since the voyage of the ships are more economical and efficient than air or land-based alternatives. The propulsion of a ship is provided by a main engine system which includes the shaft, the propellers, and other auxiliary equipment. Marine diesel engine is a complex structure that the faults within these machines can cause malfunction of the whole system, which in turn inhibits the ship’s mission. It is crucial to monitor the engine and other auxiliary systems during the operation and infer their condition from their diagnostic data. In this study, we analyze monitoring data of a crude oil tanker for different ship loads and conditions. Our primary analysis includes main engine fault detection and classification for which we propose an end-to-end joint autoencoder-classifier model that contains a convolutional autoencoder, and a long-short term memory regressor connected to the latent space. Genetic algorithms optimized models gave us 93.61% accuracy for fault classification task. Further investigation on feature’s contributions to the model, we increased the accuracy up to 96%. One concern about marine transportation is the pollution of the air with greenhouse effect gases. In this study, we have developed NOx and SOx emission estimators for different faults and working conditions. Leveraging ship load, working conditions and engine faults in the models helped us to achieve 50% better estimation performance. Although there are other studies regarding gases emissions in the literature, this is the first study that took engine faults into account. We believe that the joint autoencoder-classifier model will be useful for other time series estimation task on other domains, especially where the operating condition plays a role in the process.
Severity Estimation of Faulty Bearings Based on Strain Signals From Physical Models and FBG Measurements
Authors: Ohana Ravit , Klein Renata , Bortman Jacob
Published: July 2022

Condition based maintenance (CBM) is the preferred approach in rotating machinery and aim to replace the commonly used approach of maintenance based on service time. To achieve an effective CBM, different types of sensors should be placed in the system for condition monitoring to detect the location of the fault and its severity. In this research, a Fiber Bragg Grating (FBG) has been used for condition monitoring on spalls in deep grove ball bearings. The motivation for using these sensors is the ability to get a high-noise signal (SNR) ratio. The usage of FBG sensors is relatively new for health monitoring systems of rotating machinery. Therefore, there is not enough understanding of the strain signature measured by the FBG. To examine the phenomena in the strain signals, a physics-based model of the strain signature has been developed. In this model, two complementary models were integrated, a finite element (FE) model and a dynamic model . The strain model describes the interaction between the rolling elements (REs) and the bearing housing and simulates the strain behavior measured on the bearing housing. The simulation results are validated with strain signals measured by the FBG sensor at different stages of an endurance test. The model allows simulation of a wide range of spall lengths and describes the behavior of the strain signals for different levels of misalignment. The insights from the model enabled the development of an automatic algorithm that assess the severity of the defect and to track spall length during bearing operation, based on strain signals.
Prognosis of Wear Progression in Electrical Brakes for Aeronautical Applications
Authors: Martin Andrea De , Jacazio Giovanni , Parisi Vincenzo , Sorli Massimo
Published: July 2022

The evolution towards “more electric” aircrafts has seen a decisive push in the last decade, due to the growing environmental concerns and the development of new market segments (flying taxis). Such push interested both the propulsion components and the aircraft systems, with the latter seeing a progressive trend in replacing the traditional solutions based on hydraulic power with electrical or electromechanical devices. Although more attention is usually devised towards the flight control actuation, an interesting and fast-developing application field for electro-mechanical systems is that of the aeronautical brakes. Electro-mechanical brakes, or E-Brakes hereby onwards, would present several advantages over their hydraulic counterparts, mainly related to the avoidance of leakage issues and the simplification of the system architecture. The more difficult heat dissipation, associated with the thermal issues that usually constitute one of the most significant sizing constraints for electromechanical actuators, limits so far, their application (or proposal of application) to light-weight vehicles. Within this context, the development of PHM solutions would align with the need for an on-line monitoring of a relatively unproven component. This paper deals with the preliminary stages of the development of such PHM system for an E-Brake to be employed on a future executive class aircraft, where the brake is actuated through four electro-mechanical actuators. Since literature on fault diagnosis and prognosis for electrical motors is fairly extensive, we focused this preliminary analysis on the development of PHM techniques suitable to monitor and prognose the evolution of the brake pads wear instead. The paper opens detailing the system architecture and continues presenting the high-fidelity dynamic model used to build synthetic data-sets representative of the possible operating conditions faced by the E-Brake within realistic operative scenarios. Such data are then used to foster a preliminary feature selection process, where physics-based indexes are compared and evaluated. Simulated degradation histories are then used to test the application of data-driven fault detection algorithm and the possible application of particle-filtering routines for prognosis.
Experiences of a Digital Twin Based Predictive Maintenance Solution for Belt Conveyor Systems
Authors: Al-Kahwati Kammal , Birk Wolfgang , Nilsfors Evert Flygel , Nilsen Rune
Published: July 2022

Availability of belt conveyor systems is essential in production and logistic lines to safeguard production and delivery targets to customers. In this paper, experiences from commissioning, validation, and operation of an interactive predictive maintenance solution are reported. The solution and its development is formerly presented in Al-Kahwati et.al. (Al-Kahwati, Saari, Birk, & Atta, 2021), where the principles to derive a digital twin of a typical belt conveyor system comprising component-level degradation models,estimation schemes for the remaining useful life and the degradation rate, and vision-based hazardous object detection.
Furthermore, the validation approach of modifying the belt conveyor and thus exploiting the idler misalignment load (IML) for the degradation predictions for individual components (including long-lasting ones) together with the actionable insights for the decision support is presented and assessed. Moreover, the approach to testing and validation of the object detection and its performance is assessed and presented in the same manner. An overall system assessment is then given and concludes the paper together with lessons learned.
As pilot site for the study a belt conveyor system at LKAB Narvik in northern Norway is used.
Filtering Misleading Repair Log Labels to Improve Predictive Maintenance Models
Authors: Del Moral Pablo , Nowaczyk Sławomir , Pashami Sepideh
Published: July 2022

One of the main challenges for predictive maintenance in real applications is the quality of the data, especially the labels. In this paper, we propose a methodology to filter out the misleading labels that harm the performance of Machine Learning models. Ideally, predictive maintenance would be based on the information of when a fault has occurred in a machine and what specific type of fault it was. Then, we could train machine learning models to identify the symptoms of such fault before it leads to a breakdown. However, in many industrial applications, this information is not available. Instead, we approximate it using a log of component replacements, usually coming from the sales or maintenance departments. The repair history provides reliable labels for fault prediction models only if the replaced component was indeed faulty, with symptoms captured by collected data, and it was going to lead to a breakdown.
However, very often, at least for complex equipment, this assumption does not hold. Models trained using unreliable labels will then, necessarily, fail. We demonstrate that filtering misleading labels leads to improved results. Our central claim is that the same fault, happening several times, should have similar symptoms in the data; thus, we can train a model to predict them. On the contrary, replacements of the same component that do not exhibit similar symptoms will be confusing and harm the ML models. Therefore, we aim to filter the maintenance operations, keeping only those that can be used to predict each other. Suppose we can train a successful model using the data before a component replacement to predict another component replacement. In that case, those maintenance operations must be motivated by the same, or a very similar, type of fault.
We test this approach on a real scenario using data from a fleet of sterilizers deployed in hospitals. The data includes sensor readings from the machines describing their operations and the service logs indicating the replacement of components when the manufacturing company performs the service. Since sterilizers are complex machines consisting of many components and systems interacting with each other, there is the possibility of faults happening simultaneously.
Towards Data Reliability Based on Triple Redundancy and Online Outlier Detection
Authors: Poupry Sylvain , Béler Cédrick , Medjaher Kamal
Published: July 2022

Today, air quality monitoring is a global concern. The World Health Organization (WHO) defined standards for each pollutant and each member state is committed to monitoring them continuously and reliably to protect the population. This responsibility is delegated to air quality monitoring associations. To achieve the objectives of reliable, accurate, and continuous measurements, these associations rely on conventional measuring stations with demanding specifications to serve as scientific references and decision supports for the authorities. However, because of heavy investments and required qualified staff, there are few stations and the coverage is coarse for territories of several thousand km2. To circumvent this difficulty, measurement network architectures using Low-Cost Sensors (LCS) have been deployed. Low cost and requiring less qualification, This alternative technology to conventional measuring stations makes it possible to target local pollution that could not otherwise be detected. Although it is more accurate on the spatial dimension, this technology has several drawbacks, notably in terms of measurement repeatability and hardware quality. It is also subject to measurement drifts over time. To overcome these drawbacks, a resilient and reliable architecture based on LCS and triple redundancy has been proposed. The basic principle is based on the implementation of three smart sensors (SmS) using LCS measuring the same parameters on the same perimeter. These SmS communicate with an Aggregator that aggregates the data sent by SmS. The aggregator includes also detection and voting tasks allowing to compare, cross the data, detect faults of LCS online, and provide data that are ready for processing. In this paper, a pre-processing algorithm in four steps is presented. It identifies hardware faults from one or more LCS and reports outliers for verification by an expert. It is configurable and can identify failure behaviors (LCS or air quality). Finally, the proposed algorithm excludes the outliers data from faulty LCS and presents only reliable ones.
A Hierarchical XGBoost Early Detection Method for Quality and Productivity Improvement of Electronics Manufacturing Systems
Authors: Gaffet Alexandre , Barbosa Roa Nathalie , Ribot Pauline , Chanthery Elodie , Merle Christophe
Published: July 2022

This paper presents XGBoost classifier-based methods to solve three tasks proposed by the European Prognostics and Health Management Society (PHME) 2022 conference. These tasks are based on real data from a Surface Mount Technologies line. Each of these tasks aims to improve the efficiency of the Printed Circuit Board (PCB) manufacturing process, facilitate the operator’s work and minimize the cases of manual intervention. Due to the structured nature of the problems proposed for each task, an XGBoost method based on encoding and feature engineering is proposed. The proposed methods utilise the fusion of test values and system characteristics extracted from two different testing equipment of the Surface Mount Technologies lines. This work also explores the problems of generalising prediction at the system level using information from the subsystem data. For this particular industrial case: the challenges with the changes in the number of subsystems. For Industry 4.0, the need for interpretability is very important. This is why the results of the models are analysed using Shapley values. With the proposed method, our team took the first place, capable of successfully detecting at an early stage the defective components for tasks 2 and 3.
An experimental study verification of production raw algae oil to biodiesel by industry 4.0
Authors: YAŞAR Fevzi , KOYUNOĞLU Cemil
Published: July 2022

Alglerin baca gazında karbondioksit kullanılması sonucu genel olarak biyoyakıtın fotobiyoreaktörlerde veya kabarcık yataklı biyoreaktörlerde kullanıldığı ve fotosentez prensibi olduğu bilinmektedir. Yosun büyümesi sırasında, yosun yağının esterleşme reaksiyonundan hemen sonra ekstraksiyon işlemi sonlandırılmalıdır. Günümüzde üretilen bu biyodizelin geleneksel yakıtlarla birçok yönden yaygınlaşması kaçınılmaz bir gerçektir. Bu çalışmada, alglerdeki trigliserit yağlarını serbest bırakmak için bir reaksiyon kabında deneysel olarak metanol kullanılmıştır. Karbon dioksit gazının transesterifikasyon reaksiyonu ile etkileşimi, hesaplamalı akışkanlar dinamiği kullanılarak modellenmiştir. Buhar-sıvı-sıvı faz dengesini sağlamak için mikro kabarcıkların kullanımını tanıtıyoruz. Kullandığımız Ansys simülasyon programı, düşük sıcaklık ve ara basınç değerlerinde metanolün trigliserit fazında bozunması gibi adımları stabilize etmek için biyodizel üretim hızı hesaplaması için önemli bir araçtır ancak karıştırma modülü bu süreçleri kolayca bulmamıza yardımcı olur. Basit bir deneyin hesaplamalı akışkanlar dinamiğini kullanan bu çalışma, deneysel ve ardından en son endüstriyel tesis modelleme modelini gerçek uygulamalardan önce gerçekçi ve ideal koşullar altında yorumlamamızı sağlar. Bu ders endüstriyel ölçekteki Ar-Ge çalışmalarına ışık tutacak metodolojinin uygulanabilirliğini sağlamayı amaçlamaktadır. Ayrıca ideal koşulları belirlemek ve alg tipini değiştirmek için bu çalışmanın devamında yeni reaktör geometrileri denenebilir.
Veteranos, Baby Boomers, Nativos Digitais, Gerações X, Y e Z, Geração Polegar e Geração Alfa
Authors: Zaninelli Thais , Caldeira Giseli , De Souza Fonseca Diego Leonardo
Published: July 2022

Este artigo apresenta o resultado de uma revisão de literatura realizada em torno dos termos utilizados para caracterizar as gerações, em especial, aquelas que fazem parte da comunidade universitária. O foco da pesquisa foi entender as características e os comportamentos desse grupo de usuário com o objetivo de entender as reais necessidades dos acadêmicos no que consiste na utilização dos serviços de informação das Bibliotecas Universitárias. A pesquisa de caráter teórico utilizou-se de bases de dados nacionais e internacionais na busca por artigos sem intervalo temporal. Os termos encontrados para classificar as gerações foram: Veteranos, Nativos Digitais, Geração Polegar, Millenions, Gerações Z, Y e X, Baby Boomers e Geração Alfha. Uma característica importante dos universitários é que a maioria já nasceu no mundo da web ou ciberconectados e não conhecem outra forma de realizar suas atividades e se relacionarem que não seja por meio da conexão. Dessa forma, as Bibliotecas Universitárias precisam entender em profundidade as características, necessidades e os comportamentos desses usuários de modo a desenvolver serviços informacionais inovadores que vão ao encontro, para além das necessidades dos desejos informacionais dessa geração.
Contribuições da Bibliometria ao tratamento de dados institucionais não sistematizados de produção científica
Authors: Galdino Rosangela , Garcia Leonardo Guimarães , Amaral Roniberto Morato do
Published: July 2022

De acordo com a literatura, um dos meios que as instituições podem utilizar para a compreensão em profundidade dos seus resultados, bem como as causas que os potencializam (ou limitam) é a bibliometria e a construção de indicadores bibliométricos de pesquisa. No entanto, há poucos estudos que ilustram, a partir de dados de uma instituição de pesquisa real, os benefícios que a bibliometria poderia proporcionar quando não há uma abordagem sistemática para o tratamento dos dados da produção científica realizada pela instituição. Nesse sentido, o objetivo desse trabalho foi ilustrar o potencial dos indicadores bibliométricos no tratamento de dados de produção científica de uma instituição de pesquisa que não realiza sistematicamente esse tratamento. Para tanto, o método utilizado foi o estudo de caso, a unidade caso foi o Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) e a bibliometria foi utilizada como técnica de análise das informações. Os resultados mostram a criação e a interpretação, a partir dos dados brutos, de vários indicadores bibliométricos. Conclui-se que o uso da bibliometria pode converter dados não tratados em compreensão da pesquisa realizada pela instituição, bem como gerar insights úteis à ampliação dos seus resultados.
Análise Sobre o Desenvolvimento Científico
Authors: De Paulo Alex Fabianne , Lima Breno Augusto Pinto
Published: July 2022

Este artigo tem o objetivo de mapear e caracterizar por meio de rotas de conhecimento como se dá a evolução do conhecimento científico sobre coronavírus a partir de estudos desenvolvidos por pesquisadores afiliados a instituições de pesquisa do Brasil. A base de dados foi construída a partir de artigos publicados na Web of Science até 2021. Foi construída uma rede de citações e, por meio do algoritmo SPLC, obteve-se as rotas de conhecimento. Os resultados mostram a alta concentração de publicações após 2020, demonstrando a preocupação e empenho de pesquisadores vinculados ao Brasil nas investigações deste tema. Os resultados também apontam que as áreas prioritárias são a médica seguida por aspectos referentes medidas sociais para conter a disseminação do vírus. Também apontou duas rotas de conhecimento com características diversificadas, reforçando a abrangência dos conhecimentos relacionados ao tema. Assim, este estudo contribui com a literatura ao apresentar a evolução do conhecimento científico, reforçando a qualidade e capacidade de produção de pesquisadores filiados a instituições brasileiras. Contribui ainda ao apresentar os temas mais pesquisados e apontar os perfis dos pesquisadores. Por fim, este estudo complementa a literatura vigente ao ratificar o uso de análise de rede como instrumento para representação e investigação do conhecimento, além do mapeamento e análise profunda sobre a evolução do conhecimento.
Analisis Kesulitan yang Dialami Guru dalam Pembuatan RPP di SDN 060843 Medan
Authors: Evelyn Marbun Marintan , Masri Perangin Angin Laurensia , Husna Nazuani , Khairani Ritonga Rahmi , Anshari Suhail
Published: July 2022

The 2013 curriculum is the applicable curriculum in the Indonesian Education System. Four aspects of the 2013 Curriculum assessment, namely aspects of knowledge, aspects of skills, aspects of attitudes, and behavior. There are materials that are streamlined and added to the 2013 curriculum. The streamlined material can be seen in the Indonesian language material, Social Studies, PPKn, etc. While the material added is Mathematics material. This study aims to determine the difficulties experienced by teachers in making lesson plans. The method of data collection in this study used an interview instrument. The survey research method with a quantitative approach (Quantitative Research) is the research method chosen in this study to answer research questions. The variable that became the main reference for the researcher was to conduct an interview with one of the relevant school teachers to answer questions about the difficulties of teachers in making lesson plans (RPP). The research location is at SDN 060843 Medan. The results of the study revealed that it was difficult for teachers to describe KD into indicators, difficult to arrange learning steps in lesson plans, difficult to adapt methods, difficult to make their own media, and difficulties in adapting teaching materials to students. The teacher's lack of understanding regarding matters relating to the implementation of scientific approach learning makes some activities in the scientific approach not run optimally. Since it was implemented in July 2014, many problems have been faced by teachers in developing lesson plans according to the 2013 curriculum. Another difficulty is the use of operational words Bloom's Taxonomy in the formulation of indicators in the preparation of lesson plans. Along with the governance that must be met by teachers, both assessment and management of learning based on the 2013 curriculum, so it is important to examine what difficulties are experienced by subject teachers in preparing lesson plans in accordance with the 2013 curriculum
Strategi Pengawasan Komisi Penyiaran Indonesia (KPI) Aceh Terhadap Tata Kelola Isi Siaran di Aceh
Authors: Serliana Serliana , Muzakkir Muzakkir
Published: July 2022

The Indonesian Broadcasting Commission (KPI) is an independent or stand-alone institution, this institution consists of two, namely the Central Regional Broadcasting Commission and the Regional Regional Broadcasting Commission. This study describes how the performance of the Indonesian Broadcasting Commission, especially in the Aceh region, on the management of broadcast content in Aceh, it is very useful so that later broadcasts that are widely circulated and widely enjoyed by the public can be useful and do not violate the Indonesian broadcasting law. The purpose of this study is to find out how the governance of broadcast content in Aceh is carried out by the Indonesian Broadcasting Commission (KPI), especially in the Aceh region and minimize errors so that broadcasters will comply with regulations. The method used in this research is using qualitative research methods with a qualitative descriptive approach, with data collection techniques carried out by means of observation, interviews and documentation. Data analysis was carried out by means of data reduction, data presentation, conclusion drawing and verification. The results of this study indicate that the Aceh Regional Indonesian Broadcasting Commission only acts as a regulator of content distribution in Aceh. However, the current manpower shortage and availability of experts for good governance is far from over. In addition, the lack of budget for the procurement of competent monitoring equipment is one of the main obstacles faced by the Aceh KPID. So it can be concluded that the Indonesian Broadcasting Commission in Aceh has carried out the management of broadcast content to the maximum extent possible, and is supported by several parties who have helped in monitoring the broadcast content that is disseminated.
Verticalidade e horizontalidade de sentido em Wittgenstein
Authors: De Matos Nunes Filho Lauro , Mendes Rocha Renato
Published: July 2022

Nesse artigo apresentamos uma interpretação para a mudança da noção de sentido no Tractatus Logico-Philosophicus para a noção de significado nas Investigações Filosóficas. Para nós, esta mudança de direção se baseia na mudança ontológica que ocorre entre as duas fases. No Tractatus Wittgenstein desenvolve uma ontologia extensional, enquanto nas Investigações recorre a uma ontologia intensional. Acreditamos que essa mudança ocorre porque Wittgenstein realiza uma internalização da ontologia na linguagem, o que não ocorria na primeira fase. Esta internalização da ontologia é o que chamamos de horizontalização do significado. Em oposição a esta horizontalização do significado vemos no Tractatus uma verticalização do sentido como resíduo do referencialismo fregeano. Veremos que tal mudança deve-se à implementação da noção de significado como uso (Gebraucht).
La psicología moral de Tocqueville y la filosofía política aristotélica
Authors: Presta de las Casas Francisco
Published: July 2022

En el presente artículo analizaremos la psicología moral de Tocqueville, no en función de la filosofía de la historia, sino en función de un posicionamiento tendiente a valorar las transiciones constitucionales. Nuestro enfoque busca subsumir la psicología moral de Tocqueville dentro de la filosofía política aristotélica, con la finalidad de restituir la importante conexión de los aspectos estructurales con los aspectos subjetivos, en detrimento de versiones racionalistas tendientes a escindir estas esferas.
Weber: entre convicção e responsabilidade
Authors: Menezes Luiz Maurício Bentim da Rocha
Published: July 2022

Este artigo vai se centrar na obra de Max Weber “A política como vocação” analisando a parte final da obra onde o autor trata sobre a ética da convicção e a ética da responsabilidade. Em nossa análise tentaremos demonstrar o quanto o pensamento de Weber é influenciado tanto pelo florentino Nicolau Maquiavel e o alemão Immanuel Kant. Se entendermos a ética da convicção como uma ética voltada para a escolha moralmente correta independentemente das consequências, poderemos verificar uma forte relação com o imperativo categórico kantiano desenvolvido na obra “Fundamentação da metafísica dos costumes”. Por outro lado, a ética da responsabilidade se aproxima da categorização da política como separada da moral feita por Maquiavel no “Príncipe”. Os traços dessas duas obras estão presentes na sutileza da escrita weberiana ao conceituar as características da política e sua ação através da figura principal daquele que a exerce, isto é, o político.
SACRINI, M. Introdução à análise argumentativa: teoria e prática. São Paulo: Paulus, 2016. Coleção Lógica
Authors: David Antônio
Published: July 2022

Resenha do livro Introdução à análise argumentativa, de M. Sacrini.
ОСНОВНЫЕ ЦЕННОСТИ ТРАДИЦИОННОЙ КУЛЬТУРЫ ПОВЕДЕНИЯ, ЭТИКЕТА ЧЕЧЕНЦЕВ В XIX–XX ВВ.
Authors: Хасбулатова З.И.
Published: July 2022

В представленной статье рассматриваются ценности традиционной культуры и нормы поведения чеченцев в XIX – начале XX в.
Особое внимание уделено нравственным ценностям в чеченской среде, а также межэтническим отношениям на Северном Кавказе и их влиянию на процессы сохранения и восстановления традиционной культуры и нравственных принципов.
Для изучения указанной проблемы, помимо научной литературы, были привлечены полевые материалы, собранные автором во время этнографических экспедиций в разные районы Чечни и Ингушетии, а также в республики Северного Кавказа.
ОСНОВЫ КРИМИНАЛИЗАЦИИ И КРИМИНООБРАЗУЮЩИЕ ПРИЗНАКИ НАРУШЕНИЙ ПРАВИЛ ДОРОЖНОГО ДВИЖЕНИЯ И ЭКСПЛУАТАЦИИ ТРАНСПОРТНЫХ СРЕДСТВ
Authors: Куразова Д.А. , Яхьяев Х.С.
Published: July 2022

В эпоху автомибилизации заметно повысилось количество дорожно-транспортных происшествий. В связи с этим увеличивается роль государственного регулирования нарушений в области транспортного законодательства. Усилившаяся автомобилизация приводит к более полной оценке уголовно-правовой политики в этой области, ее совершенствованию путём принятия новых нормативно-правовых актов, изменения и дополнения имеющихся, а также принятия мер, противодействующих нарушению правил дорожного движения и эксплуатации транспортных средств до непосредственного наступления самого преступного деяния. Автомобилизация, с одной стороны, является фактором развития экономики (например, посредством развития рынка автокредитования). С другой же стороны, представляет собой серьезную демографическую и социальную проблему, так как дорожно-транспортные происшествия приводят к смерти, причинению вреда здоровью и имуществу человека и другим вытекающим из этого отрицательным последствиям. В статье рассмотрены теоретические аспекты основания криминализации и криминообразующих признаков нарушения правил дорожного движения и эксплуатации транспортных средств, а также проанализированы современные тенденции в этой области.
ЕЩЕ РАЗ О ПРИНЦИПАХ РОССИЙСКОГО УГОЛОВНОГО СУДОПРОИЗВОДСТВА
Authors: Бахмадов Б.Д. , Умарова Х.Б. , Замхаев М.М.-Э.
Published: July 2022

В настоящей статье рассматриваются вопросы относительно отдельных принципов уголовного процесса, их становления за период 1922 – 2001 годы, когда эти принципы и в каком виде нашли свое законодательное закрепление в УПК РФСР и УПК РФ, как именовались они в научной и учебной литературе, их законодательное название, мнения отдельных авторов юридических изданий. Предлагаются рекомендации о внесении дополнений в УПК РФ.
РОЛЬ ИНФОРМАЦИОННО-КОММУНИКАЦИОННЫХ ТЕХНОЛОГИЙ В СОВРЕМЕННОМ СОЗНАНИИ ОБЩЕСТВА
Authors: Денильханова Р.Х.
Published: July 2022

В статье представлены результаты исследования, определяющего роль информационных, коммуникационных и компьютерных технологий в развитии современного общества. Проблемы влияния информационных, коммуникационных и компьютерных технологий рассматриваются в рамках трех теоретико-методологических подходов. Согласно технократическому подходу, информационная технология признается средством оптимизации производства и повышения производительности труда. Гуманистический подход основан на том, что информацию необходимо рассматривать как один из ресурсов, оказывающих положительное влияние на развитие всех сфер жизнедеятельности человека. И, наконец, согласно техно-пессимистическому подходу, информационные, а также информационно-компьютерные технологии рассматриваются как оружие, направленное против человечества. Для изучения информационного общества и процессов его развития, используется методология научных исследований, основу которой составляют общенаучные методы, в частности, метод анализа информационного содержания. Использование этого метода позволяет выявить закономерности развития информационных технологий и их влияние на динамику социокультурных процессов.
КОНЦЕПЦИЯ ПРОГРЕССА В СОЦИАЛЬНОЙ ТЕОРИИ
Authors: Кутаев А.Х.
Published: July 2022

Данная статья призвана показать центральное место, которое концепция прогресса явно и неявно занимает в социальной теории по отношению к теоретизированию и пониманию современности. Это также поднимает вопрос, можно ли во времена, когда к европоцентризму, логоцентризму и вообще почти к любому притязанию на превосходство, справедливо относиться с подозрением, думать о современности, не полагаясь на какую-либо интерпретацию понятия прогресса. Можно утверждать, что тема прогресса вместе с дополнительным понятием упадка может рассматриваться как ключевой компонент дискурсов о современности, играя особую роль в формировании социальной теории. Конт и Дюркгейм по-разному полагались на идею прогресса, и то же самое можно сказать о марксистских объяснениях социальных изменений. Немного позднее, социологические теории стали обращаться к современности с точки зрения прогресса, и Парсонс – является ярким примером в этом отношении. Более того, теоретические дискурсы, занимающие критическое или даже враждебное отношение к проекту модерна, часто ставят под сомнение идею прогресса, и выстраиваются вокруг представления модерна в терминах упадка и регресса. Возможно, образ прогресса определяет различие между обществом и сообществом, которое также скрыто за более поздней теорией Хабермаса об обществе, с точки зрения систем и жизненных миров. В статье используются общенаучные методы, в частности, метод анализа и обобщения.
СОСТАВ ПЛАЗМЫ КРОВИ ЖЕНЩИН В ПЕРИОД БЕРЕМЕННОСТИ
Authors: Анзоров В.А. , Атаева Ж.М. , Абуезидова З.А.
Published: July 2022

Работа посвящена изучению состава плазмы крови женщин в процессе беременности. Результаты наших исследований показывают, что беременность приводит к существенному снижению уровня общего белка, альбуминов, креатинина, сахара и значительному увеличению глобулинов, фибриногена, холестерина. Так, концентрация общего белка и альбуминов составила во втором триместре 67,2 (P < 0,01) и 32,4 г/л (P < 0,001), в третьем – 64,4 (P < 0,01) и 28,1 (P < 0,001), а у контрольных женщин – 75,8 и 44,6. Содержание глобулинов и фибриногена, постепенно снижаясь, достигло во втором триместре до 34,8 (P < 0,05) и 3,5 г/л, в третьем – 36,3 (P < 0,01) и 4,3 (P < 0,001), против исходных значений 31,2 и 2,9. Уровень креатинина и сахара в крови женщин при беременности снижается во втором триместре до 62,3 (P < 0,01) и 3,9 ммоль/л, в последнем – 48,7 (P < 0,001) и 3,6 (P < 0,02) против значений небеременных – 81,4 и 4,5. Концентрация холестерина, постепенно возрастая в процессе беременности, достигает максимальной величины – 6,1 ммоль/л (P < 0,05) в последнем триместре беременности, а исходная составила – 4,8. Количество мочевины в плазме крови женщин в период беременности незначительно снижается, билирубин изменению не подвергается. Так, содержание мочевины снизилось к концу беременности до 4,4 моль/л, а у контрольных женщин составило 5,3.
ЗАВИСИМОСТЬ АДАПТАЦИОННЫХ ВОЗМОЖНОСТЕЙ ОТ ВЕГЕТАТИВНОГО СТАТУСА
Authors: Зайналабдиева Х.М. , Арсанукаев Д.Л. , Кужулова А.Р. , Шамсуева М.Р. , Лалаева Х.М.
Published: July 2022

Изучение индивидуальности человека - основная задача, уникальная и профессионально очень ответственная. Она требует овладения специальными личностно-ориентированными технологиями, одной из которых является изучение вегетативного статуса как наиболее устойчивой и мало изменяющейся характеристики личности, проявляющейся во всех сферах ее жизни [2.4].
Для успешной учебы в учебных заведениях важно знать особенности обучения и поведения обучаемых с разными типами вегетативного статуса. Когда школьник переходит в вузовскую систему обучения, испытывает большие умственные и физические нагрузки, каждый день узнает что-то новое, вынужден выстраивать отношения с окружающими – сокурсниками и преподавателями.
Поэтому неудивительно, когда на фоне психологического неблагополучия происходит начало или обострение уже имеющихся соматических заболеваний. Этим объясняется рост нервно-психических расстройств у студентов последние несколько десятилетий [1,3].
ПЕРЕЛОМНАЯ ЭПОХА В ПРОИЗВЕДЕНИЯХ Ф.М. ДОСТОЕВСКОГО
Authors: Мерзуева Х.С.-Х. , Садулаева М.Х.
Published: July 2022

В статье речь идет о способности великого писателя Ф.М. Достоевского глубокомысленным и наглядным образом выражать сущность своего времени. Его герой восстает против несправедливого и грязного мира, но желает переустроить мир по личному усмотрению. Писатель остро ощущал особенность, избранность своей эпохи, ее переломность, приближение решающего кризиса. Высшим законом для гения является правда, главным объектом изображения он считает не событие само по себе, не летописное обозначение вызвавших его причин, а заинтересованность, страсть, страдания, столкновения, идеалы, заставляющие людей искать и действовать, несмотря на опасности и риск, и физический, и нравственный. Достоевский считал свою эпоху не просто завершающей хронологические таблицы, а вратами в преображенное и светлое будущее. Поэтому его романы, такие разнообразные, такие величественные по содержанию, по идеям, такие мирообъемлющие, прикованы к столь краткому отрезку русской истории.
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ПРЕПОДАВАНИЯ ИНОСТРАННОГО ЯЗЫКА НА НЕЯЗЫКОВЫХ ФАКУЛЬТЕТАХ
Authors: Хабалева Л.Ф. , Мазалиева Б.А.
Published: July 2022

В статье рассматриваются проблемы преподавания иностранного языка на неязыковых факультетах. В настоящее время в условиях глобализации следует обратить пристальное внимание на изучение иностранного языка, так как гораздо больше внимания уделяется обучению специальным дисциплинам. В нашем случае это нелегкая задача в условиях ограниченного количества контактных часов по дисциплине.
Исходя из личного опыта, авторы подразделяют проблемы в преподавании иностранного языка на следующие три группы: преподаватель, обучающийся и образовательная среда. В каждой из этих групп существуют различные обстоятельства, которые влияют на качество преподавания иностранного языка и быстроту усвоения его обучающимися. Авторы отмечают острую необходимость изменений в подходах и методах преподавания иностранного языка.
Faktor-Faktor yang Mempengaruhi Pertumbuhan Volume Transaksi Saham
Authors: Virginia Chyntia Augustia , Lesmana, S.Kom, MM Iwan , Rumondang Safrida
Published: July 2022

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi pertumbuhan volume transaksi saham. Variabel dalam penelitian ini adalah pertumbuhan harga saham, earning per share (EPS), return on equity (ROE), dan debt to equity ratio (DER). Sampel yang digunakan dalam penelitian ini adalah data sekunder volume perdagangan saham di Bursa Efek Indonesia periode 2016-2019. Dengan menggunakan SPSS (paket statistik untuk ilmu-ilmu sosial), metode analisis yang digunakan dalam penelitian ini meliputi toleransi dan uji VIF, Uji Kolmogorov-Smirnov, uji kointegrasi multivariat: Uji, estimasi SRESID dan ZPRED, uji t-statistik, uji F-statistik, koefisien determinasi (R2), dan Korelasi Pearson Product Moment.Hasil penelitian menunjukkan earning per share (EPS), return on equity (ROE), berpengaruh signifikan terhadap pertumbuhan volume transaksi saham, namun pertumbuhan harga dan debt to equity ratio (DER) tidak berpengaruh signifikan terhadap pertumbuhan volume transaksi saham. Semua variabel independen secara simultan dari model yang baik menjelaskan pertumbuhan volume transaksi saham karena besarnya nilai efek adalah 99,1%, sedangkan 0,9% dijelaskan oleh variabel lain selain pertumbuhan harga saham, laba per saham (EPS), return on equity (ROE), dan rasio utang terhadap ekuitas. (DER).
PENGELOLAAN RISIKO KEWAJIBAN KONTINJENSI PEMERINTAH PADA PROYEK KPBU (Studi Kasus pada Jalan Tol Layang Jakarta-Cikampek II)
Authors: Akhmadi Muhammad Heru , Syaiban Arkandisari Atmaja , Wati Erlita Nurma
Published: July 2022

Skema pembiayaan Kerjasama Pemerintah dan Badan Usaha (KPBU) menjadi alternatif dalam pengadaan infrastruktur publik dengan mengikutsertakan pihak swasta dalam pembiayaan, proses hingga pemeliharaan proyek. Dalam proyek KPBU terdapat penjaminan yang menimbulkan risiko kewajiban kontinjensi bagi pemerintah yang perlu dikelola secara baik untuk mengurangi beban APBN. Artikel ini membahas proses pengelolaan risiko kewajiban kontinjensi pemerintah pada proyek KPBU jalan tol layang Jakarta-Cikampek II dan menganalisis metode yang tepat untuk memindahkan risiko kewajiban kontinjensi pemerintah kepada pihak swasta untuk mengurangi beban kewajiban kontinjensi pemerintah pada APBN. Penelitian menggunakan metode kualitatif dengan mengeksplorasi pendapat serta menganalisis perspektif partisipan sebagai objek penelitian melalui teknik wawancara. Dari hasil penelitian diperoleh bahwa proses pengelolaan risiko kewajiban kontinjensi pemerintah pada proyek KPBU jalan tol ini sudah optimal dan menggunakan pendekatan modifikasi dari penerapan manajemen risiko berbasis ISO 31000. Selain itu, ditemukan tiga alternatif terkait metode pemindahan risiko kewajiban kontinjensi pemerintah kepada pihak swasta diikuti dengan konsekuensinya masing-masing.
ANALISIS PERAN REGULATOR DAN ASPEK BIAYA DALAM PENCEGAHAN PRAKTIK PREDATORY PRICING DI E-COMMERCE INDONESIA
Authors: Biantara Dheny
Published: July 2022

This study analyzes the role of regulators and the cost aspects that can prevent predatory pricing in an E-Commerce. Cross-border sellers who are successful in offering lower prices pose a threat to local MSMEs. The government as the regulator decided to prohibit the import of 13 product categories in the E-Commerce marketplace to anticipate unhealthy business practices. This phenomenon is also known as predatory pricing. Predatory pricing is setting very low prices to beat competitors. The phenomenon that occurs from data taken from E-Commerce Shopee which focuses on competition between sellers where there are 13 products with "overseas" location filters are no longer found. The parameters used in this study are product similarity, selling price, and other information that can be used to support research analysis. The results of this study indicate that all categories experience marketing practices, although most categories are suspected of experiencing predatory pricing.