bluuebunny/crossref_metadata_2025 huggingface dataset:
Efisiensi Waktu Pemberian Pupuk Nitrogen terhadap Pertumbuhan dan Produksi Jagung Lokal Kuning
Authors: Lihiang Anatje , Lumingkewas Sonny
Published: October 2022

ABSTRAK Jagung (Zea mays L) ialah tanaman serealia yang bernilai ekonomis dan dapat dikembangkan sebagai sumber utama karbohidrat, vitamin dan mineral, serta sebagai pakan ternak dan bahan baku industri. Di Sulawesi Utara banyak dikembangkan  jagung varietas lokal Manado kuning yang memiliki keunikan yaitu rasanya manis, rendemen nasi tinggi, dan tahan disimpan. Namun di tingkat petani produktivitasnya rendah berkisar 1-2 ton/ha. Oleh karena itu perlu dilakukan penelitian untuk meningkatkan pertumbuhan dan produksi jagung lokal Manado kuning dengan aplikasi waktu pemberian pupuk urea yang tepat.Hasil menunjukkan tanaman jagung menghasilkan luas daun, berat kering, indeks luas daun, laju tumbuh tanaman, dan laju asimilasi bersih tertinggi pada perlakuan N4 dan N5 yaitu 3 kali pemberian pupuk urea 1/3 saat tanam, 1/3 umur tanaman 15 hari, dan 1/3 umur tanaman 45 HST (N4) serta 1/3 saat tanam, 1/3 saat tanaman berumur 30 hari dan 1/3 tanaman berumur 45 hari. Bobot pipilan kering tertinggi sebesar 3,24 t ha-1 pada perlakuan aplikasi waktu pemberian pupuk 3 kali yaitu 1/3 saat tanam, 1/3 pada saat tanaman berumur 30 HST dan 45 HST. Dengan demikian, aplikasi waktu pemberian pupuk 3 kali menghasilkan pertumbuhan dan produksi jagung lokal Manado kuning tertinggi. Penelitian selanjutnya perlu diuji pada lokasi-lokasi dengan ketinggian berbeda. Kata kunci: Jagung lokal kuning, pupuk urea, efisiensi waktu ABSTRACTCorn (Zea mays L) is a cereal crop that has economic value and can be developed as a main source of carbohydrates, vitamins and minerals, as well as animal feed and industrial raw materials. In North Sulawesi, many local varieties of Manado yellow maize have been developed, which are unique in that they taste sweet, have high rice yield, and are resistant to storage. However, at the farmer level, the productivity is low, around 1-2 tonnes/ha. Therefore it is necessary to conduct research to increase the growth and production of local Manado yellow maize with the appropriate application of urea fertilizer time. The weight, leaf area index, plant growth rate, and net assimilation rate in N4 and N5 treatments, namely 3 times urea fertilizer 1/3 when planting, 1/3 plant age 15 days, and 1/3 plant age 45 HST (N4) and 1/3 when planting, 1/3 when the plants are 30 days old and 1/3 plants are 45 days old. The highest dry weight was 3.24 t ha-1 in the 3 times application of fertilizer, namely 1/3 when planted, 1/3 when the plants were 30 HST and 45 HST. Thus, the application of 3 times fertilizer application resulted in the highest growth and production of local Manado yellow corn. Further research needs to be tested at locations with different heights. Keywords: Yellow local corn, urea fertilizer, time efficiency
Cartographic provision for the study of territorial features of student immigration in Russia
Authors: Sopnev Nikolai , Soloviev Ivan
Published: October 2022

In the article, based on the statistical data of the Ministry of Internal Affairs of the Russian Federation, a spatial analysis of modern student immigration in Russia is carried out at different territorial levels: subregions and countries of the world, federal districts and constituent entities of the Russian Federation. One of the most effective ways to study these processes is their mapping using geoinformation tools. A series of thematic maps has been constructed that reflect the territorial features of student international migration in Russia based on the principle of multi-scale. At each territorial level, maps were built for 2016 and 2021. three ways: quantitative background, dot and map charts. The main trend of recent years is the growth of student immigration in Russia, which has a beneficial effect on the sustainability of the demographic development of the state. The positive dynamics of international student flows in Russia was interrupted only in the first year of the covid-19 pandemic. The former countries of the Soviet Union, as well as non-CIS countries located in Asia and Africa, play a dominant role for Russia in terms of the exit of foreign students. The latest trend in student immigration flows in Russia is the declining role of Western countries. The geography of international student migration in Russia is characterized by significant territorial differentiation. A significant part of the flow of foreign students is concentrated in the capital universities of Russia (Moscow, St. Petersburg), as well as in Tatarstan. In Asian Russia, the leadership in the admission of foreign students belongs to the Novosibirsk, Tomsk and Omsk regions. The main trend of recent years is an increase in the concentration of foreign students in many regional centers of Russia, which will increase the impact of student immigration on the sustainability of the demographic development of Russia’s provincial regions.
Cartographic interpretation of the study of rural lifestyle in Сrimea
Authors: Volkhin Denis , Shvets Alexandra , Yakovenko Irina
Published: October 2022

The method of obtaining and cartographic interpretation of information revealed in the process of studying rural areas of Crimea is considered. The rural territories of this region are presented as an alternative space to the traditional recreational use of the Crimean Peninsula. This approach made it possible to single out the geoconcept “Other Crimea”. The boundaries of this territory have a complex—natural and administrative—character, which allowed us to identify key points of research with reference to the main landscape and geomorphological regions of Crimea. The program of research of rural territories of Crimea on two thematic blocks is proposed: identification of the transformational dynamics of the rural settlement system within the borders of the whole Crimea and identification of the problems of rural lifestyle within the “Other Crimea”. The result of the study of the spatial-temporal picture of the rural settlement system in the Crimea was the map “Rural settlement of Crimea”. The map illustrates the changes in the population of rural settlements and the density of rural settlement according to the results of the 1989–2014 censuses. Conclusions are drawn about the reduction of the network of rural settlements and depopulation of Crimean villages in the post-Soviet period; an increase in the proportion of small villages with a population of less than 200 people (28 %) and rural settlements with a population of more than 3,000 people (6 %); a change in the functions of coastal rural settlements from agricultural to recreational, which had a positive impact on their demographic situation; preservation of spatial unevenness of rural settlement of Crimea. The results of a sociological opinion poll of residents of 30 rural settlements in 14 municipal districts of the Republic of Crimea and in rural settlements within the boundaries of the federal city of Sevastopol are proposed. The rural lifestyle is illustrated by maps of the structure of the problem field of rural territories of Crimea and the prospects for residents of the peninsula to live in them; estimated income maps of rural residents and the typology of rural territories by income level. The main problems of the rural lifestyle in the non-recreational territories of the Crimea are revealed: the washing out of the peasant lifestyle, the reduction of personal farms of rural residents, increased mobility of rural residents, the perception of emigration from the villages of Prisivashye and the Kerch Peninsula as the main way to solve everyday, social and economic problems, the preservation of the severity of the problem of preserving the values of rural lifestyle among young people.
Development of a geoinformation system for monitoring the reproduction of the Russian population
Authors: Esikova Viktoriya
Published: October 2022

In the last decades of the XX–XXI centuries. in Russia, the nature of the formation of the population as a whole in the country and in its regions in particular has changed. During the post-Soviet period, the country is undergoing a deep demographic crisis, depopulation processes have been actively developed. In this regard, it becomes relevant to conduct a study on monitoring the reproduction of the Russian population. Monitoring based on geographic information systems has a number of advantages in processing and interpreting a large array of spatial data. The article shows the experience of creating a conceptual scheme of a geoinformation monitoring system, methods of geoinformation modeling, formation of the structure of a spatial database, a necessary element of geoinformation monitoring. The conceptual scheme of the geoinformation monitoring system is based on the development of a geoinformation modeling technique, the creation of a spatial data base and the formation of a geoinformation monitoring structure. The creation of a geoinformation monitoring system is supposed to be based on the Esri ArcGis Online platform, a database management system (DBMS)—PostgreSQL 10. The geoinformation modeling technique used in the work includes the creation of a spatial database, building models in geoinformation systems, and analyzing the results of geomodeling. For geomodeling and the subsequent creation of maps, a number of the most common methods and methods are used: typological, the method of cartographic anamorphic images, the method of qualitative and quantitative background, methods of areas, cartograms, ranges of values, the method of movement of arrows, etc. The spatial database is a subsystem for geoinformation monitoring of regional features of the reproduction of the Russian population and is designed to collect, organize, store and update data. The possibilities of geoinformation systems for monitoring the reproduction of the Russian population, methods and methods of modeling in geoinformation systems are considered. As a result, a database of spatial data “Reproduction of the population in Russia” was created and a series of spatio-temporal models was built. The trends in the reproduction of the population of the post-Soviet period are analyzed with the identification of the main periods in the transformation of the reproduction of the population, a typology of regions is carried out, taking into account the ratio of natural and migration growth and their contribution to the dynamics of the total population.
Mapping of inter-settlement interaction of border territories (on the example of Yakutia and Krasnoyarskiy kray)
Authors: Filippova Viktoriya
Published: October 2022

The article considers the settlements of the Taimyr-Yakut borderland: the villages of Saskylakh and Yuryung-Khaya of the Anabar national (Dolgan-Evenki) ulus (district), the village of Zhilinda of the Olenek Evenki National District of Sakha Republic (Yakutia) and the settlements included in the rural settlement of Khatanga of the Taimyr Dolgan-Nenets municipal district of the Krasnoyarsk Territory: Popigay and Syndassko. The eastern part of Taimyr and the northwest of Yakutia is the territory of the Dolgan and Evenk ethnic groups—the indigenous peoples of the Arctic. Until the 1930s, this region was a single administrative region. According to the results of field work carried out in 2020–2022. It was found that despite the absence of official transport networks, communication between the local communities of the studied settlements did not stop. Interaction is carried out by informal roads, which are winter roads, along which the local population rides snowmobiles. The following inter-settlement interactions have been established: Yuryung-Khaya–Syndassko, Saskylakh–Popigay, Saskylakh–Zhilinda, Popigay–Zhilinda. The following types of interaction of local communities have been identified: labor activity, family ties, sale/exchange of reindeer and fish, buying of consumer goods and food, of fuel and leisure. In the study, using GIS technologies, the inter-settlement interaction of the studied settlements was mapped using ArcGIS Pro, ArcGIS Online. The created geoinformation database is updated with information about the types of interaction, thematic layers are formed, a legend and design are developed. The map showing inter-settlement relations of border local communities contributes to the identification and systematic analysis of sectoral and territorial disproportions, contributes to ensuring the effective organization of productive forces, planning and forecasting of the situation.
Police deviance: causes and possibilities of overcoming
Authors: Nikulenko Andrey
Published: October 2022

In modern Russia, the problem of the balance between the implementation of law enforcement activities (firstly, police ones) and ensuring the rights and freedoms of man and citizen is becoming increasingly relevant. Special significance is attached to the legal regulation of the activities of the police and representatives of other law enforcement agencies so that they have clear and understandable legal mechanisms for restricting civil rights at their disposal. However, the desire to provide a legal basis for policing, in our opinion, has led to excessive regulation of the possible and proper behavior of the police officers. Moreover, the regulatory legislation of various «law enforcement» agencies differs significantly in terms of the use of physical force, special means and firearms, in other words, means of restricting rights and freedoms. That seems reasonable, since each department solves its own tasks, but in the same situations, representatives of, for example, the FSB of Russia (the Federal Security Service of the Russian Federation), the police and the National Guard of Russia have different grounds for using weapons. The legislators’ efforts to regulate this area as much as possible have led to contradictions between various regulatory legal acts, especially in criminal legislation.

This circumstance generates various forms of deviant behavior of police officers when they face with stressful situations in their law enforcing.

In our opinion, the current norms (particularly of Chapter 8) of the Criminal Code of the Russian Federation are clearly insufficient. In addition, their statutory wording is not perfect. They make it possible to shift the blame for causing harm on persons who cause this harm under circumstances without criminality of the act.
Correlation between presbycusis with quality of life based on hearing handicap inventory for the elderly screening version (HHIE-S)
Authors: Nazarudin Nurbaiti , Priasty Vania Nanda , Ma’mur Iwan Darmawan
Published: October 2022

Presbycusis is an age-related hearing loss caused by a degeneration process which is a
cumulative effect of various risk factors. Hearing Handicap Inventory for the Elderly-Screening
version (HHIE-S) questionnaire is a questionnaire that can be used to measure the quality of
life in patients with hearing loss. This study aimed to determine the relationship between
presbycusis with the quality of life. The research uses cross sectional analytical research
methods. The data used in form of primary data is the result of filling in the guided questionnaire
and the results of the audiogram, while secondary data is in the form of medical records of
presbycusis patients at Dustira Hospital in the period January 2017-December 2018. Data were
analyzed by Chi-Square and Spearman Correlation Test. The incidence of presbycusis in the
period January 2017-December 2018 at Dustira Hospital was 2,6%. The result showed most of
the patients were 65-74 years old (61,8%), male (52,7%), married (58,2%), economic were
similar between moderate and low economic status (49.1%), had a history of chronic diseases
(76, 4%), had a moderate degree of hearing loss (61,8%) and had a mild-moderate degree of
quality of life (52,7%). Based on HHIE-S questionnaire the results showed that there was a
significant and strong relationship between presbycusis and patients’ quality of life (p <0.001)
and r=0,509. In conclusion, degrees of hearing loss in presbycusis patients will correspond to
degrees of decrease in quality of life.
Capacity for financial management of the Duitama empresaries
Authors:   Universidad Nacional Abierta y a Distancia UNAD, Duitama Castro Gloria Nancy
Published: October 2022

This article arises as a result of the reflection of the research "Development of Financial Management of employers of industrial SMEs in the city of Duitama" developedby the Research Group -Ideas en Acción-which is part of the School of Administrative Accounting Sciences Economic and Business "ECACEN" of the UNAD, one of the questions that guided the present study is What financial management capabilities do entrepreneurs of industrial MSMEs in the city of Duitama have? Hypothesis H2 was raised-There are factors related to the capacities that influence a better financial management of the industrial MSMEs of the city of Duitama, the internal processes of the financial management of the companies studied are analyzed and it is recognized if these decisions are taken based on knowledge, skills or culture. The research is framed within a mixed approach, using the descriptive study as a research type. The quantitative survey is proposed as a data collection instrument to know the knowledge, attitudes and opinions of businessmen regarding financial management. In their companies, for the implementation, the Mipymes companies of the city of Duitama that are currently registered in the Chamber of Commerce were taken. In conclusion, entrepreneurs are trained in financial management for decision making that helps to empower companies from the administration and the adoption of a business culture
Characterization of cellular mobile operating systems: Android, Symbian, iphone and Windows phone
Authors:   Escola Superior Aberta do Brasil (Brasil), Universidad Europea del Atlántico (España), Cassinda Quissanga Fernando
Published: October 2022

The present theme refers to the characterization of cellular mobile operating systems: Android, Symbian, iPhone, Windows Phone. To present which of the cellular mobile operating systems, is the most secure and the most susceptible to computer viruses, the qualitative methodology based on the bibliographic reference, data collected in books, technical manuals, manufacturer information and on internet sites; to the analysis of the documentary data, done in tables. However, it is concluded that not all types of computer viruses infect cell phones, it depends on the kernel of the operating system. It was possible to know that Symbian is the operating system most prone to contamination of computer viruses, this operating system is made of a C ++ programming language coming from the C language one of the most popular and has many developers. Android is a mobile operating system, not so secure, based on the kernel of Linux, being free software allows more number of developers of the technology. Windows phone is the least susceptible to virtual pests. And Microsoft has invested heavily in their security system, restricted access to the app store to prevent the user from downloading programs out of the market, since every day are placed numerous applications. Bluetooth technology represents a major form of virus transmission.
Design of an integral model to manage social interest housing construction projects with emphasis in socio-environmental variables in family compensation boxes
Authors:   Universidad Militar Nueva Granada (Colombia), Velasquez Camilo Andres
Published: October 2022

At present, the construction sector has an important weight within the trade world economy, in the last decadetheconstruction has had a higher growth than otherseconomicsaspects of the nations, different countries have chosen to increase and improve their processes of housing construction.In Colombia, it has been identified that construction encourages at least 32 sectors of the economy, being one of the main actors in the economic leverage of the nation; in which resources are mobilized, jobs are usedand the level of quality of life ismoreimproved. However, social interest housing construction projects (VIS) face various problems throughout their life cycle, due to the large part that there is notspecialized model that allows the monitoring of the project in each of its stages and that consider the project as a global aspect, it is for this reason that it is proposed within this study the formulation of a model that establishes clear principles under international guidelines and that meet, among other things, the main objectives of the project without set aside socio-environmental variables, thus giving a powerful and very solid tool for project managers, generating value and knowledge for project management.
Multi-Kernel based Adaptive Support Vector Machine for Scalable Predictive Maintenance
Authors: Manjunatha Koushik , Agarwal Vivek
Published: October 2022

Application of data-driven solutions across an industry is challenging, since the data are often stored locally, and increasing privacy and security concerns restrict access to the data. Because it is highly unlikely that all potential data patterns are captured in a single data source, machine learning (ML) models developed from a single source cannot be robust enough. An alternative is to train local ML model at each source and at the central location combine all the local models to generate a global model. In this work, we develop a proof-of-concept of distributed machine learning model, federated transfer learning, using a multi-kernel-based adaptive support vector machine. For federated learning, the multikernel approach enables feature-specific model aggregation under data heterogeneity; whereas for transfer learning the adaptive model enables utilization of an aggregated model from a different task. The proposed approach is validated using nuclear power plant vertical motor-driven pump data to predict the health condition of vertical motor-driven pumps as an anomaly detection. The efficiency of the proposed approach is also quantified and compared with neural network.
Data Analytics and Visualization Application for Asset Health Monitoring
Authors: Carley Richard , Fuller Sara , Bond William , Jones Parker , Allen David , Jordan Adam , Falls Terrill
Published: October 2022

Much of the research on predictive maintenance has focused on statistical and machine learning techniques, while there has been significantly less focus on the human computer interaction or visualization aspects of PHM.  Human computer interaction and visualization techniques can quickly help identify interesting data sub-domains, both time periods and sensors, provided the data can be queried, retrieved and displayed in a timely manner. Augmenting visualization and interaction with a visual, aggregative fleet-based query system adds a further dimension, highlighting the ability of the fleet to carry out its mission. In the age of big data, effectively visualizing data from an asset with a multitude of sensors can be difficult, and that difficulty is compounded as you add additional assets.

In this paper, we propose a scalable framework that is capable of visualizing past, current, and prognosticated health from the individual sensor up to the fleet or group level.   In addition to viewing near real time sensor data, maintenance logs, fault information, and data aggregations will be merged with the sensor data to make the analysis and visualizations more valuable.  This framework is scalable in regard to how much data can be collected, stored, and processed, as well as to the different organizational levels within a fleet of assets.  The framework is built as a web-application primarily using the following visualizations: a collapsible tree graph for asset information; 2D charts for temporal sensor data, fault data, and maintenance data; and 3D digital twins of critical components. 

The current dataset used to build and demonstrate the capability of the web-application has data from over 3000 vehicles and contains approximately 9TB of data. Vehicle information such as model, make, sub-component, and fleet organization are presented in a configurable, collapsible tree structure. This allows the user to visualize the fleet and to select the asset and sensor combinations needed to display the temporal sensor data that will answer the question at hand. Information regarding each vehicle’s health status is displayed then aggregated and displayed for each of the higher tree nodes.   A 3D digital twin is also available to highlight sensor locations and current health status of the component.  These component models can be viewed and manipulated with and without a virtual reality headset. As health status monitoring for asset subcomponents are developed, they can be added to the system, allowing for complete health status reporting.
Self adaptive learning scheme for Fault prognosis in oil wells and production & service lines
Authors: Harrouz Aymen , Toubakh Houari , Kafi Redouane , Sayed-Mouchaweh Moamar , Salem Hajer
Published: October 2022

The production of Oil & Gas from underground reservoirs involves chemical and mechanical processes that affect well drilling and operation. Many of these processes may eventually cause a problem with the well, resulting in a decrease in production or in equipment failure. This paper deals with fault prognosis during the practical operation of Oil & Gas wells. This work focus on the remaining useful life prediction of the “Spurious Closure of the Downhole Safety Valve” fault.  This paper proposes a scheme based on the use of unsupervised machine learning approach and a drift detection mechanism is employed in order to predict the time to failure, real fault scenarios data are used, the proposed scheme is evaluated using different prognosis performance metrics.
Online Battery SOH Prediction under Intra-Cycle Variation of Discharge Current and Non-Standard Charging and Discharging Practices
Authors: Kim Areum , Lee Sukhan
Published: October 2022

Online SOH prediction of a battery is essential for battery management in real-world applications. Although many approaches have been proposed to date, most conventional approaches to SOH prediction neither incorporate intra-cycle variation of discharge currents nor consider non-standard charging and discharging practices along cycles. For real-world applicability, the above two factors, varying discharge current and non-standard practices, are crucial to deal with. This paper presents an approach to online SOH prediction based on charging and discharging cycles under intra-cycle variation of discharge current and non-standard charging and discharging practices. Here, for online SOH prediction, we represent a cyclic history of terminal voltages and currents by a vector sequence formed by four indices: total charge, voltage-time entropy, average and variance of current, where average and variance of current are intended to deal with varying discharge current.  Furthermore, we identify various minimum ranges of charging and discharging voltages that can provide accurate relation between four indices and SOH under non-standard practices, while transforming this relation into that of standard practices. For experiments, an LSTM stack is implemented for the proposed online SOH prediction. The results indicate that the proposed approach is capable of accurate online SOH prediction even under randomly varying discharging currents and non-standard practices with RMSE errors of about 0.5% as well as  of about 95%.
Evaluation of NVIDIA Jetson System for Vibration HUMS
Authors: Nenadic Nenad , Valant Christopher , McConky Sean , Thurston Michael , Horney Patrick , Jones Allen
Published: October 2022

An NVIDIA Jetson graphical processing unit was evaluated for utilization in a health and usage monitoring system by computing vibration-based condition indicators, evaluating autoencoders for anomaly detectors, and comparing the computational performances to the related performance when the computations were performed on the central processing unit. The comparison included signal preprocessing computations. Two distinct cases of interest were considered with neural network autoencoders: model evaluation and model adaptation with limited training. The experiments found that computations associated with signal preprocessing and computing of condition indicators performed faster on the central processing unit, but neural network model evaluation and adaptation were faster on the graphical processing units. Utilizing the GPU capability of the Jetson Nano, it was determined that 42 accelerometer signals could be evaluated through an autoencoder per second.
Enabling in-time prognostics with surrogate modeling through physics-enhanced Dynamic Mode Decomposition method
Authors: Jarvis Katelyn , Corbetta Matteo , Teubert Christopher , Schuet Stefan
Published: October 2022

Computational models provide essential quantitative tools for assessing and predicting the health and performance of physical systems. However, high-fidelity models are rarely used in real-time operations or large optimization loops, due to their time-intensive nature. A common approach to improving computational efficiency of prognosis is to employ surrogate models. Such models can significantly decrease computation time for some accuracy loss. In this context, use of Dynamic Mode Decomposition (DMD) is proposed to generate surrogate models for lithium-ion (Li-ion) battery discharge. DMD has been suggested and used successfully in the area of fluid dynamics for over a decade, but it has not been applied to the Prognostics and Health Management domain, where farahead prediction of nonlinear behavior is crucial to propagate faults or predict Remaining Useful Life (RUL). For Li-ion battery health management, the standard application of DMD using only the observable quantities of interest was unable to capture the nonlinear discharge of batteries exhibited in lab testing. A potential solution was found by implementing Koopman theory, which considers the dynamics of nonlinear systems. Koopman theory provides a mechanism to trade-off low dimensional nonlinear models with high-dimensional linear ones in a DMD framework, by augmenting nonlinear state variables into the system representation. For battery health management, we augmented the observable variables with the hidden states of a higher-fidelity physics model to build the DMD surrogate. In comparison to a high-fidelity model, the surrogate improved computational efficiency with only a minimal loss of accuracy, and enabled long-term prognostics horizons. A generalized method for this was implemented in the ProgPy python packages.
An Assessment of Different Reinforcement Learning Methods for Creating a Decision Support System Based on the Petri Net Model
Authors: Saleh Ali , Chiachio Manuel
Published: October 2022

Having an optimal decision support system (DSS) is beneficial for decreasing the lifecycle costs and increasing the lifespan of any system. Reinforcement learning can serve as a good tool for evaluating the benefit of taking decisions and controlling actions to reach an optimal policy. Besides, Petri nets are adequate for modeling complex systems while taking minimal assumptions due to their capabilities of simulating heterogeneous information, parallel operations, and synchronization. In addition to having the benefit of providing a visual interpretation based on a well-formulated mathematical model. Combining the two concepts of Reinforcement learning and Petri net is fruitful for creating an intelligent DSS that can decide on the right actions with minimal human intervention. RL is powerful in doing so because it considers the final goal without getting into the rules of the problem, relations between events, or any other complications. It simplifies the problem of setting rewards and finding an optimal policy for increasing them. This study proposes a methodology for creating a DSS for modeling and optimizing maintenance strategy by merging RL and PN models. It also compares the advantages and disadvantages of using each of the Monte Carlo and Q-learning RL techniques and investigates the power of the n-step bootstrapping method which is a generalization of the latter methods that considers both of them at the same time.
Model Based Approach to Extract Health Information from Textual Data
Authors: Mandelli Diego , Wang Congjian
Published: October 2022

In current nuclear power plants (NPPs) a large amount of condition-based data is being generated and stored to assess and monitor component health and performance. The format of this data can be either numeric (e.g., pump vibration data) or textual (e.g., condition report which assess component health). While assessing component health from numeric data can be performed with a large variety of methods, the extraction of information from textual data still remains a challenge. Natural language processing (NLP) methods are starting to be deployed in current NPPs mainly to filter out incident reports (IRs) that are not safety related by employing supervised machine learning methods. However, these methods do not really provide the quantitative information that might be contained in IRs. This paper presents an approach to extract information from textual data (e.g., from IRs, maintenance reports) that is based on NLP data analytics methods coupled with model based system engineer (MBSE) models. NLP methods are employed to perform syntactic and semantic analyses. Syntactic analysis analyzes the grammatical structure of a sentence; such analysis includes: part of speech (POS) tagging (i.e., identification of grammatic elements of each string - e.g., nouns, verbs), named entity recognition (i.e., identification of text entities - e.g., names, dates, events), and relation extraction (e.g., coreference resolution). On the other hand, semantic analysis is designed to analyze the logic structure of a sentence. Through a specific set of rules, our methods can identify whether a sentence contains health information of a component (e.g., degraded performance, anomaly behavior) or the causal relationship between two events (i.e., a cause-effect pair). An innovative element of our approach is that semantic analysis relies on MBSE models to identify links between textual elements. MBSE are diagrams designed to represent system and component dependencies (from both a form and functional point of view). In our approach, MBSE models emulate system engineer knowledge about component/system architecture. This paper presents in detail how the integration of NLP methods and MBSE models is performed. Few analysis examples focusing on centrifugal pumps will be presented.
Methodology for Online Sensor Recalibration
Authors: Pradeep Ramuhalli , Muhlheim Michael , Guler Yigitoglu Askin , Huning Alex , Saxena Abhinav
Published: October 2022

A significant contributor to nuclear power plant operations and maintenance (O&M) costs is the periodic calibration check of sensors. Periodic calibration checks provide the necessary confidence that the measurements from these sensors are correct, with the data used to monitor and verify proper operation of the reactor. The periodicity of calibrations in the nuclear industry can range from once in several weeks for some instrument channels to once every refueling outage (~18 months) for certain safety-significant pressure and level transmitters. With expected longer refueling intervals in many advanced reactor/small modular reactor concepts, fewer opportunities are expected to be available for manual calibration checks and recalibration for many instrument channels.

Presently, periodic sensor calibration checks are performed manually, with manual recalibration performed if the sensor is found to be out of calibration. Although studies have shown that most (over 90%) sensors are found to stay within calibration specifications over a calibration cycle (~18 months), labor must still be spent to verify that these sensors are within calibration. Given the large number of sensors (anywhere between 100–2400 sensors) in a typical nuclear power plant, the ability to identify sensors that are failing/failed or drifting out of calibration and limit recalibration to those specific sensors has the potential to save between $0.5–1M per year per plant. The cost of calibration checks and recalibration are expected to be of greater significance to advanced reactors and small modular reactors, given the industry focus on reducing O&M costs for these reactor concepts as part of improving the economic viability of advanced nuclear power.

Methods that can compensate for calibration drift by adjusting the calibration automatically and in real-time may be able to further reduce costs associated with recalibration. Such autocalibrations or online automated recalibrations reduce unavailability of instrumentation and improve online maintenance planning flexibility from both resource allocation and online risk evaluation perspectives.

This paper describes an initial set of algorithms developed for the purpose of detecting drift and correcting for it through an online recalibration method. Initial results on laboratory-scale experimental data indicate the potential of these algorithms to detect calibration drift and update calibrations with prediction and drift correction accuracy exceeding 95%.
मानव जीवन के कल्याण हेतु यज्ञ - वैदिक वांग्मय के सन्दर्भ में
Authors: Pathak Tanushee , Kishor Gayatri
Published: October 2022

भारतीय परंपराओं के प्रचलन में तत्वदर्शी ऋषियो ने यज्ञ को भारतीय धर्म का पिता कहा गया है जिसमें मनुष्य जीवन का भी समग्र दर्शन समाहित है। मानव जीवन में यज्ञ की अनिवार्यता वैदिक वांग्मय का निर्देश है। मनुष्य जीवन के विविध आयाम में यज्ञ लाभ को वैदिक वांग्मय के सन्दर्भ में समझना प्रस्तुत अध्ययन का मूल उद्देश्य है। यज्ञ जीवन ही कल्याण कारक है। यह सृष्टि यज्ञ के सिद्धांतो पर चलती है। मनुष्य जीवन इसे सृष्टि है और सृष्टि की उन्नति ही मनुष्य जीवन की  उन्नति है। यज्ञमय जीवन जीने वाले से सत्प्रवृत्तियाँ का संवर्धन होता रहता है और इससे देव शक्तिया संतुष्ट रहती है और उसकी सकल कामनाएं पूर्ण होती है अर्थात वह आप्तकाम होता है। जिससे मनुष्य का सांसारिक जीवन मंगलमय बनता है। यज्ञमय जीवन से मनुष्य जीवन जो त्रिविध ताप आध्यात्मिक, आधिदैविक (व्यक्तित्व एवं प्रतिभा) एवं आधिभौतिक (सांसारिक समृद्धि) से मुक्ति अर्थात लाभ प्रदान करता है, जिससे मनुष्य जीवन सफल और कल्याणकारी बनता है। जब तक घर-घर में यज्ञ की प्रतिष्ठा थी, तब तक भारत भूमि स्वर्ग-सम्पदाओं की स्वामिनी थी। आज यज्ञ एवं यज्ञमय जीवन को त्यागने से ही मनुष्य जीवन की दुर्गति हो रही है।
Kedisiplinan Belajar Siswa Kelas V SD Negeri Pondok Bahar 05 Kota Tangerang
Authors: Hidayah Amilanadzma , Mawardi Mawardi , Suhendar Asep
Published: October 2022

The purpose of this research is to find out how the student learning discipline is and how to improve the fifth grade student learning discipline at Pondok Bahar 05 Public Elementary School, Tangerang City. This study uses a qualitative descriptive method, namely, the researcher analyzes and describes the learning discipline of the students of SD Negeri Pondok Bahar 05 Tangerang City as it is in the condition of a natural object. Data collection techniques through observation, interviews and documentation using data analysis techniques, namely: data reduction (data reduction), data presentation (data display), and draw conclusions/verification (Conclusion/ Verification). The results of this study indicate that student learning discipline in the discipline of study time, discipline in doing assignments, discipline in dressing neatness, discipline in class cleanliness and discipline in the process of learning activities in class is good. There are several factors that cause student discipline in Class 5 SD Negeri Pondok Bahar 05 Tangerang City, one of which is the teacher who always motivates students in the form of rewards, such as small gifts or praise, which makes students more enthusiastic in learning. The school also gives prizes to students who excel to improve student learning achievements.
Prospek, Problematika dan Strategi Baitul Mal Wat Tamwil (BMT) Al-Karomah Menghadapi Era Disrupsi 5.0
Authors: Azzaidi Muh Rizwan , Zikri Sri Nirwana Sarowati
Published: October 2022

This study aims to determine how the prospects and problems as well as the development strategy of BMT Al-Karomah. This research is a field research, which was conducted at BMT Al-Karomah. This type of research is descriptive research using a qualitative approach. The results of this study indicate that the prospect of BMT Al-Karamah is to encourage economic growth, absorb labor and employment. The problems with developing BMT are the increase in BMM prices that affect BMT operational costs, public perception and knowledge of BMT is still low, similar business competition and the existence of other financial institutions that have started to follow the BMT system, namely the pick-up ball system. The strategy for developing BMT Al-Karomah is the development of human resources, Product Marketing of BMT Al-Karomah
Esensi Guru Menurut Pendidikan Nasional dan Pendidikan Islam
Authors: Muntaha Arif Ali , Suyuti Ahmad , Nursikin Mukh.
Published: October 2022

The teacher is a figure who plays a role in transferring knowledge to his students, both general knowledge and religious knowledge to cause behavior that reflects good morals to students. As Muslims we can see the essence of teachers according to Islamic education, and as citizens we can also see the essence of teachers according to national education. Departing from these two views, the ideas that are written about the essence of teachers according to national education and Islamic education. This research is using library research with literacy study methods, data collected from sources of books, documents and scientific articles relevant to the discussion, namely a description of the essence of teachers according to national education and Islamic education. The results of this study are First, in national education the essence of the teacher is the person who provides teaching and education to students to form good, with graduate qualifications that must meet to become a teacher and teacher is considered a position. Second, the essence of the teacher according to Islamic education, Islam views the teacher as someone who has knowledge of a science and practices his knowledge by providing teaching and education to students as a sign of the usefulness of the knowledge they have, in Islam the teacher is devotion.
Sexual Educational Values for Teenagers and the Role of Parents in Juno Movie
Authors: Setianingsih Tri , Nafisah Bq Zuhrotun
Published: October 2022

This Study aims to determine the values of sexual education and the role of parents in “Juno” movie. The object of this research was the values of sexual education and the role of parents. This research method used was descriptive qualitative. This technique of data collection used were documentation, watching, re-watching, identification. The data analysis technique used in this research was the Milen and Huberman model method: data reduction, data display, conclusions drawing/verification. Researcher found the values of sexual education and the role of parents in Juno movie. The results of this study found 5 values of sexual education: keep yourself from lust for the opposite sex, there will be a negative risk that will be accepted, to tell the dangers of abortion, teach to be responsible for yourself, impact of early pregnancy on teenagers and 2 roles of parents in Juno movie:  protect, support, look after and help Juno solve the serious problem she faced, reminds Juno of the mistake she made.
Manajemen Praktikum Bahasa Arab Mahasiswa Prodi Pendidikan Bahasa Arab Fakultas Tarbiyah dan Keguruan UIN Mataram
Authors: Maujud Fathul
Published: October 2022

One of the problem in education that is getting attention by government's is the problem of improving the quality of education. The improvement programs of education quality can be achieved when the process of teaching and learning can take place properly, efficiently and effectively, and supported by practicum programs as a medium to strengthen and apply the skills which have possessed by students. To guiding the students of Arabic language and as a part of the efforts to improve the quality of academic services and the quality of graduates in higher education, it is very important to build strategically to develop practicum programs by study programs and lecturers. The research approach is using qualitative research with descriptive method with data collection techniques are observation, interviews and documentation. Meanwhile, the data analysis uses an interactive data analysis pattern using the Miles and Hubermans model. The result is the implementation of practicum program management is carried out in some stages; the preparation of the practicum program, the implementation, the evaluation of the practicum and the management of the practicum which have implications for development of Arabic language especially for students of the Arabic Language Education Program.
Optimalisasi Manajemen Masjid pada Masjid Aisyah Islamic Center Al-Hunafa Lawata sebagai Lembaga Dakwah dan Pendidikan Islam
Authors: Tahir M.
Published: October 2022

The mosque of Aisyah Islamic Center Al-Hunafa Lawata has a multifunctional role , such as a center of workship, da’wah and education. As a worship center, it is open to local residents and the public for both obligatory and recommended prayers and I’tikaf. Also, it is a da’wah center where it is used for routine studies carried out after dawn and dusk prayers. Additionally, its role as a center for formal and non-formal education was accomplished through the establishment of the Religious High School (MAK) and the Qur’an Education Park (TPA). In additionally, this place is a center of social activities like the distribution of nine main food and qurban meat as well as providing free iftar in Ramadhan. Ths study is qualitative where the mosque administrators are the main data sources gathered using observation, interviews, and documentation. Data mining is closely related to the formulation of research problemswhich is how the role and management of the mosque as a center of da’wah and education. The study found that the mosque remains a multifunctional place as a center of worship da’wah, and formal and non-formal education and has developed as social service activities. The overall optimization of the mosque’s role is carried out by optimizing all management function including planning, actuating or implementing, organizing, and evaluating as well.
Persepsi Masyarakat Tentang Radikalisme Agama (Studi di Kecamatan Mpunda Kota Bima)
Authors: Rahmah Nurmawadah , Zubair Muh. , Alqadri Bagdawansyah
Published: October 2022

This study aims to determine the public's perception of religious radicalism and the role of religious leaders in anticipating religious radicalism in Mpunda District, Bima City. This study uses a qualitative approach with the type of research is descriptive. This research was conducted in Mpunda District, Bima City for one month, the subjects of this research were the people in Mpunda District, Bima City, and the research informants were government officials, community leaders, and religious leaders. Data collection techniques used in this study were observation, structured interviews, and documentation. To analyze the data using 3 methods according to Miles and Huberman, including data reduction (Data Reduction), data presentation (Data Display), Verification/Conclusion Drawing. The results showed that people's perceptions of religious radicalism: (1) Religious radicalism arises because of a lack of understanding of religion, (2) The view that only Islam adheres to radical movements is wrong because radicalism can potentially be carried out by all religions. The role of religious leaders in anticipating religious radicalism is to provide counseling to the public about the dangers of radicalism.