bluuebunny/crossref_metadata_2025 huggingface dataset:
Biometric Cryptosystem to Secure Smart Object Communications in the Internet of Things
Authors:   LAboratory of Mathematics, Informatics and Systems (LAMIS) University of Larbi Tebessi, Tebessa, ALGERIA, Meraoumia, Mohammed Amroune Abdallah ,   LAboratory of Mathematics, Informatics and Systems (LAMIS) University of Larbi Tebessi, Tebessa, ALGERIA, Laimech Lakhdar , Bendjenna Hakim ,   LAboratory of Mathematics, Informatics and Systems (LAMIS) University of Larbi Tebessi, Tebessa, ALGERIA
Published: February 2022

Smart cities are viewed as one of the strengths of developed countries. Despite its novelty, It has attracted a lot of attention, prompting major tech companies to invest in various aspects related to their design. In fact, the Internet of Things is the most important pillar of these cities, as it allows almost everything, including machines, animals, and people, to be connected to the Internet and interact with one another. Like any electronic application, the security aspect is one of the most difficult challenges in the creation and design of such networks. As a result, in this paper, we proposed a secure IoT framework based on cloud computing. In this study, we focused on the security aspect of connecting people to their objects using biometric cryptosystems. Our proposed cryptosystem uses the concepts of a chaotic system combined with hand-palm biometrics, and uses the oriented Basic Image Features (oBIF) as a feature extraction method. The user message is then encrypted using the AES algorithm, while the user template is encrypted by a proposed algorithm.
An optimal representation of Random Maximum kSatisfiability on a Hopfield Neural Network for High order logic(k   3)
Authors:   School of Mathematical Science Pulau Penang, Malaysia, Abubakar Hamza
Published: February 2022

This paper proposed a new logical rule by incorporating Random maximum kSatsifiability (RANMAXkSAT) in the Hopfield neural network (HNN) as a single network model (HNN-RANMAXkSAT). The purpose is to combine the optimization capacity of the Hopfield neural network (HNN) for optimal representation to random maximum kSatsifiability (MAXRANkSAT). The energy function of a Hopfield neural network has been considered as a programming language for dynamics minimization mechanism. Several optimization and search problems associated with machine learning (ML), decision Science (DS) and artificial intelligence (AI) have been expressed on the Hopfield neural network(HNN) optimally by modelling the problem into variables to minimize the objective function that corresponds to Lyapunov energy function. The computer simulation has been developed based on RANMAXkSAT to explore the feasibility of a Hopfield neural network as a neuro-symbolic integration model in carrying out RANMAXkSAT logic programming optimally. The proposed model has been compared with the existing models published in the literature in term of Global minimum ratio (zM), Fitness energy landscapes (FEL), Root Means square error (RMSE), Mean absolute errors and computation time (CPU). Hence, based on the experimental simulation results, it revealed that the RANMAXkSAT can optimally and effectively represented in the Hopfield neural network (HNN) with 85.1 % classification accuracy.
Important Female Characters in the Ramayana: Their Relevance in the Modern Society
Authors: Dr. Sreekala P. S
Published: February 2022

The Ramayana, written and composed by Valmiki, is one of the greatest works of literature in the history of ancient India. It has survived the test of time, and still continues to be one of the most critically acclaimed works of all generations. The characters in Ramayana are seemed to be inspirational figures in all our lives. Rama, Sita, Lakshmana and Hanuman epitomize all the virtues that should be present in all human beings in the planet to achieve the state of continual peace.
Sree Rama was about to be crowned as emperor.Narada arrived and reminded Rama that his sole work in this incarnation was to kill the asuras and bring peace in the universe.Sree Rama replied that he was aware of the purpose of his incarnation. Devas approached SaraswathyDevi and requested her to go to Ayodhya and enter the tongue of Mandhara.
Permeation of Artificial Seawater into Polyurethane and Its Effect on the Performance of Potted Electrical Equipment
Authors: Hack Harvey , Windgassen James
Published: February 2022

Measurements were conducted to quantify the permeation of artificial seawater into various polyurethanes and polyethylene as a function of time and temperature. Both weight gain from water absorption and an electrical current between pairs of wires embedded into the polyurethanes were measured over a period of several months at 50°C. Water was absorbed into all materials, including polyethylene, but there was no increase in the current between wire pairs embedded in the polyurethanes, indicating that the water that was able to permeate was pure water of high resistivity whereas the charged ions in the seawater were not able to permeate to the wires.
Políticas linguísticas para a pandemia de COVID-19: um olhar para os contextos de Angola, Brasil, Moçambique e Timor-Leste
Authors: Da Silveira Alexandre Cohn
Published: February 2022

Este texto traz reflexões acerca das atitudes linguísticas oficiais dos Estados de Angola, Brasil, Moçambique e Timor-Leste frente à divulgação de informações sanitárias relativas à pandemia de COVID-19. Trata-se de perceber como as políticas linguísticas institucionais veiculam informações em respeito aos direitos linguísticos humanos dos povos multiculturais e multilinguísticos que habitam os territórios analisados. A partir do depoimento de professores nativos de cada uma das nações abordadas, percebe-se que nem sempre a língua materna dos cidadãos é utilizada nas comunicações oficiais, as quais, preferencialmente, circulam em português. Tendo em conta o que advoga a Declaração Universal dos Direitos Humanos e a Declaração Universal dos Direitos Linguísticos, é possível entender que não ofertar informações essenciais para a sobrevivência em situação pandêmica na língua materna dos indivíduos é uma forma de ferir as Declarações, negando o direito à língua e à vida.
Estratégias conversacionais empregadas por Jair Bolsonaro no início da pandemia de COVID-19
Authors: De Castro Elaine , Burgo Vanessa
Published: February 2022

O objetivo deste trabalho é analisar as estratégias empregadas pelo presidente Jair Bolsonaro em suas declarações a respeito da pandemia de Covid-19 durante os meses de março e abril de 2020. O corpus é formado por excertos retirados de entrevistas, pronunciamentos e lives, selecionados e publicados em primeiro de maio do mesmo ano na seção de saúde pelo website UOL Notícias. Pautado na Análise da Conversação, este estudo traz os conceitos de face, polidez, bem como marcadores conversacionais utilizados como formas de distanciamento e de envolvimento do falante em relação ao tópico discursivo. São analisadas, portanto, nove falas do político visando a verificar os mecanismos utilizados por ele no intuito de opinar e preservar sua autoimagem pública entre seus ouvintes. De acordo com os resultados, o emprego desses recursos contribuiu para uma postura de incredulidade do falante acerca das estatísticas e orientações de órgãos de saúde nacionais e internacionais.
O que a poesia surda periférica sinaliza para as políticas linguísticas direcionadas às comunidades surdas?
Authors: Medeiros Jonatas Rodrigues , Santos Edvaldo , Santos Silvana Aguiar dos
Published: February 2022

O objetivo deste artigo foi especificar elementos que podem ser observados na poesia surda periférica, os quais sinalizam direcionamentos importantes para políticas linguísticas voltadas às comunidades surdas. Para isso, foram analisados dois textos produzidos por Edinho Poesia, os quais focalizam o papel e a relevância dessas políticas, seu estatuto jurídico e sua relação assimétrica com a Língua Portuguesa, no que tange à ordem do acesso aos bens e aos serviços públicos. A literatura pode ser utilizada como instrumento político e de tensionamento dos direitos humanos. Assim, as reflexões de Campello e Rezende (2014), Fernandes (2011), Ladd (2013) e Sutton-Spence (2020), em diálogo com as poesias analisadas, apontam para questões como: o não reconhecimento da cidadania surda pelo acesso à Língua Brasileira de Sinais (Libras); o Português como língua de maior prestígio; a constitucionalidade jurídica; e a urgência de preservar e incentivar o registro de uma memória surda, por meio de acervos em Libras.
Significado texto-imanente: abordagens integracionistas e terminológicas para a indeterminação do signo
Authors: Antia Bassey
Published: February 2022

Neste artigo, coloco os campos da terminologia e do integracionismo em discussão sobre a questão da indeterminação do signo. Emprego as lentes oferecidas por ambos os paradigmas para discutir dados sobre a indeterminação dos termos em um texto sobre processo legislativo. Eu defendo que os dados parecem confirmar várias noções integracionistas interrelacionadas, incluindo a construção do significado como contextualização idiossincrática e o princípio da reflexividade. Isso evidencia como o campo da terminologia pode alavancar a filosofia integracionista da linguagem para potencializar seu poder explicativo. No entanto, também argumento que os insights teóricos da terminologia baseada em texto podem servir como um corretivo para as percepções de indeterminação radical do signo no integracionismo.
Integrationism in context: the integrationist tradition in the contemporary landscape of linguistic research - towards a ‘critical communication studies’?
Authors: Jones Peter
Published: February 2022

In this paper I wanted to give a personal view on where I believe integrationism (Harris, 1981, 1998) sits in the current field of linguistics and applied linguistics research. In doing so I hoped to try to clarify what I see as the distinctive contribution that the integrationist tradition may make in responding to the challenge that Alastair Pennycook and Sinfree Makoni (2020) have posed of a re-made linguistics which can learn from and do justice to the struggles for both social justice and equality across both the Global South and Global North as well as for harmonious and mutually beneficial relations with our world and the other beings that share it with us.
Translanguaging space: prolegomena for an integrational critique
Authors: Yan Ruyu
Published: February 2022

Through an article entitled Translanguaging Space (2011), Li Wei, a leading scholar of the trans- framework, unfolds his primary account of translanguaging. Providing a set of much-cited definitions and influential theoretical mantras, the piece enjoys a fundamental status in translanguaing theorization (See e.g., García & Li, 2014; Li, 2018). However, this primary and influential theoretical effort is not unproblematic since, as this article will show, it epitomizes a set of paradoxical viewpoints and a hybrid understanding of language and communication. Thus, this article contends that the notion of translanguaging space and its alleged functions/values cannot be taken for granted. Taking issue with the notion of translanguaging space, the present work will outline an introductory critique from an integrational perspective (See Harris, 1996), to contest the validity of claimed functions of translanguaging space and promised values of translanguaging. The work also aims to shed light on preliminary questions about the notion of translanguaging space and hopefully could invoke further discussion. In terms of significance, this article will highlight deficiencies of translanguaging theory and contribute to an integrational critique on the hybrid linguistic theory, i.e., translanguaging.
Electric and Thermal Energy Production and Storage System by Pinecone Waste
Authors: Domingues Nuno
Published: February 2022

Rural ecosystems are the main source of biomass used in the production of renewable energy in Portugal. However, it is based on pruning residues are most of the raw material for biomass leaving other opportunities aside. This paper highlights the role of pinecone waste without pinion for the energy sector. The present paper studies different solutions to enhance the use of the pinecones for energy proposes. The present paper also presents the different principal technologies. It is possible to conclude that the use of residual biomass is a way to reduce the national dependence on energy imports (fossil specialties), decreases transport losses (by allowing local production and consumption locally) and encourages the management of forest areas (fixing people in rural areas and lowers the risk of fire).
Deep-Learning-based Human Intention Prediction with Data Augmentation
Authors: Li Shengchao , Zhang Lin , Diao Xiumin
Published: February 2022

Data augmentation has been broadly applied in training deep-learning models to increase the diversity of data. This study ingestigates the effectiveness of different data augmentation methods for deep-learningbased human intention prediction when only limited training data is available. A human participant pitches a ball to nine potential targets in our experiment. We expect to predict which target the participant pitches the ball to. Firstly, the effectiveness of 10 data augmentation groups is evaluated on a single-participant data set using RGB images. Secondly, the best data augmentation method (i.e., random cropping) on the single-participant data set is further evaluated on a multi-participant data set to assess its generalization ability. Finally, the effectiveness of random cropping on fusion data of RGB images and optical flow is evaluated on both single- and multi-participant data sets. Experiment results show that: 1) Data augmentation methods that crop or deform images can improve the prediction performance; 2) Random cropping can be generalized to the multi-participant data set (prediction accuracy is improved from 50% to 57.4%); and 3) Random cropping with fusion data of RGB images and optical flow can further improve the prediction accuracy from 57.4% to 63.9% on the multi-participant data set.
Movie Success Prediction and Performance Comparison using Various Statistical Approaches
Authors: Agarwal Manav , Venugopal Shreya , Kashyap Rishab , Bharathi R
Published: February 2022

Movies are among the most prominent contributors to the global entertainment industry today, and they are among the biggest revenue-generating industries from a commercial standpoint. It's vital to divide films into two categories: successful and unsuccessful. To categorize the movies in this research, a variety of models were utilized, including regression models such as Simple Linear, Multiple Linear, and Logistic Regression, clustering techniques such as SVM and K-Means, Time Series Analysis, and an Artificial Neural Network. The models stated above were compared on a variety of factors, including their accuracy on the training and validation datasets as well as the testing dataset, the availability of new movie characteristics, and a variety of other statistical metrics. During the course of this study, it was discovered that certain characteristics have a greater impact on the likelihood of a film's success than others. For example, the existence of the genre action may have a significant impact on the forecasts, although another genre, such as sport, may not. The testing dataset for the models and classifiers has been taken from the IMDb website for the year 2020. The Artificial Neural Network, with an accuracy of 86 percent, is the best performing model of all the models discussed.
A Novel Routing Strategy Towards Achieving Ultra-Low End-to-End Latency in 6G Networks
Authors: R. Das Satya , Sarma Sayan Sen , Khuntia Mitrabinda , Roy Indranil , Sinha Koushik , P. Sinha Bhabani
Published: February 2022

Compared to 5G, 6G networks will demand even more ambitious reduction in endto-end latency for packet communication. Recent attempts at breaking the barrier of end-to-end millisecond latencies have focused on re-engineering networks using a hybrid approach consisting of an optical-fiber based backbone network architecture coupled with high-speed wireless networks to connect end-devices to the backbone network. In our approach, a wide area network (WAN) is considered with a high-speed optical fiber grid network as its backbone. After messages from a source node enter the backbone network through a local wireless network, these are delivered very fast to an access point in the backbone network closest to the destination node, followed by its transfer to the local wireless network for delivery to the destination node. We propose a novel routing strategy which is based on distributing the messages in the network in such a way that the average queuing delay of the messages through the backbone network is minimized, and also the route discovery time at each router in the backbone network is drastically reduced. Also, multiple messages destined towards a particular destination router in the backbone network are packed together to form a mailbag, allowing further reductions in processing overheads at intermediate routers and pipelining of mailbag formation and route discovery operations in each router. The performance of the proposed approach green based on these ideas has been theoretically analyzed and then simulated using the ns-3 simulator. Our results show that the average end-to-end latency is less than 380 µs (with only 46-79 µs within the backbone network under varying traffic conditions) for a 1 KB packet size, when using a 500 Gbps optical fiber based backbone network laid over a 15 Km × 15 Km area, a 50 Mbps uplink channel from the source to the backbone network, and a 1 Gbps downlink channel from the backbone network to the destination. The significant reduction in end-to-end latency as compared to existing routing solutions clearly demonstrates the potential of our proposed routing strategy for meeting the ultra-low latency requirements of current 5G and future 6G networks, particularly for mobile edge computing (MEC) application scenarios.
Energy-efficient relaying technology in multi-hop data transmission can help the challenges faced in cellular Vehicle-to-Everything (cellular-V2X) communication. However, due to high demand of emergency service requirements of the systems such as Public Protection and Disaster Relief (PPDR), National Security and Public Safety (NSPS), Intelligent Transport System (ITS) etc., least energy consumed user equipment (UEs)/Vehicular-UEs are required which can either run real-time applications or relay the application data. To support these scenarios, we present a high way based system model in rural area and enhance its scope for applying single-hop direct, relay assisted multi-hop cellular-V2X and Store-CarryForward (SCF) modes of uplink data transmission. We compare the performance of three modes of transmissions in terms of overall energy consumption and overall transmission delay with specific delay constraints of VoIP and video applications. With the varying cell radius and irrespective type of applications, our numerical results, validated with ns-3 show that, least energy is always consumed in SCF mode due to its inherent property but applications suffer a lot due to high delay incurred whereas singlehop direct mode shows the reverse. When compared with cellular-V2X mode, overall transmission delay for single-hop direct mode is acceptable within cell radius 600m but beyond that, relay assisted multi-hop cellular-V2X mode always outperforms (with low latency and moderate energy consumption).
Authors: Nguyen Kim Tuan , Nguyen Tri Tam , Tran Nguyen Lam , Thai Truong Duy
Published: February 2022

There are many security models for computer networks using a combination of Intrusion Detection System and Firewall proposed and deployed in practice. In this paper, we propose and implement a new model of the association between Intrusion Detection System and Firewall operations, which allows Intrusion Detection System to automatically update the firewall filtering rule table whenever it detects a weirdo intrusion. This helps protect the network from attacks from the Internet.
Adaptive Sensor Sensing Range to Maximise Lifetime of Wireless Sensor Network
Authors: Naife Alauthman Almamoon , Shuhadah Wan Nik Wan Nor , Mahiddin Nor Aida
Published: February 2022

Wireless Sensor Network (WSN) is commonly used to collect information from a remote area and one of the most important challenges associated with WSN is to monitor all targets in a given area while maximizing network lifetime. In wireless communication, energy consumption is proportional to the breadth of sensing range and path loss exponent. Hence, the energy consumption of communication can be minimized by varying the sensing range and decreasing the number of messages being sent. Sensing energy can be optimized by reducing the repeated coverage target. In this paper, an Adaptive Sensor Sensing Range (ASSR) technique is proposed to maximize the WSN Lifetime. This work considers a sensor network with an adaptive sensing range that are randomly deployed in the monitoring area. The sensor is adaptive in nature and can be modified in order to save power while achieving maximum time of monitoring to increase the lifetime of WSN network. The objective of ASSR is to find the best sensing range for each sensor to cover all targets in the network, which yields maximize the time of monitoring of all targets and eliminating double sensing for the same target. Experiments were conducted using an NS3 simulator to verify our proposed technique. Results show that ASSR is capable to improve the network lifetime by 20% as compared to other recent techniques in the case of a small network while achieving an 8% improvement for the case of a large networks.
An Efficient Intrusion Detection System with Custom Features using FPA-Gradient Boost Machine Learning Algorithm
Authors: Jeyanthi D.V. , Indrani B.
Published: February 2022

An efficient Intrusion Detection System has to be given high priority while connecting systems with a network to prevent the system before an attack happens. It is a big challenge to the network security group to prevent the system from a variable types of new attacks as technology is growing in parallel. In this paper, an efficient model to detect Intrusion is proposed to predict attacks with high accuracy and less false-negative rate by deriving custom features UNSW-CF by using the benchmark intrusion dataset UNSW-NB15. To reduce the learning complexity, Custom Features are derived and then Significant Features are constructed by applying meta-heuristic FPA (Flower Pollination algorithm) and MRMR (Minimal Redundancy and Maximum Redundancy) which reduces learning time and also increases prediction accuracy. ENC (ElasicNet Classifier), KRRC (Kernel Ridge Regression Classifier), IGBC (Improved Gradient Boosting Classifier) is employed to classify the attacks in the datasets UNSW-CF, UNSW and recorded that UNSW-CF with derived custom features using IGBC integrated with FPA provided high accuracy of 97.38% and a low error rate of 2.16%. Also, the sensitivity and specificity rate for IGB attains a high rate of 97.32% and 97.50% respectively.
Process Engineering and AI Sales Prediction: The Case Study of an Italian Small Textile Company
Authors: Magaletti Nicola , Cosoli Gabriele , Leogrande Angelo , Massaro Alessandro
Published: February 2022

The paper describes the case study of a production process engineering applied to a company working in the textile sector and upgraded by digital technologies. The process engineering is performed by means the Business Process Modelling Notation (BPMN) approach. The new engineered processes are enabled by adopting a software platform able to extract data from work documents using a Robotic Process Automation (RPA) technology based on digital document features recognition. The implemented platform also integrates a Decision Support System (DSS) based on the estimation of priority rules and of Key Performance Indicators (KPIs) supporting subcontractor’s management and related activities. Furthermore, the DSS integrates sales forecasting Artificial Intelligence (AI) algorithms. A comparative analysis about regression-based algorithms and Artificial Neural Network (ANN) Multilayer Perceptron (MLP), is performed to check the best algorithm performance about the product quantity prediction in function of the price, finding ANN-MLP as a good candidate for the estimation. The ANN-MLP model is optimized to provide sales forecasting results with a low Mean Absolute Error (MAE) of 0, 00113. All the analysed algorithms are applied to an experimental dataset. The results have been developed within the framework of a Ministerial Italian project named Smart District 4.0 (SD 4.0).
Study on Emerging Applications on Data Plane and Optimization Possibilities
Authors: Altangerel Gereltsetseg , Máté Tejfel
Published: February 2022

By programming both the data plane and the control plane, network operators can adapt their networks to their needs. Thanks to research over the past decade, this concept has more formulized and more technologically feasible. However, since control plane programmability came first, it has already been successfully implemented in the real network and is beginning to pay off. Today, the data plane programmability is evolving very rapidly to reach this level, attracting the attention of researchers and developers: Designing data plane languages, application development on it, formulizing software switches and architecture that can run data plane codes and the applications, increasing performance of software switch, and so on. As the control plane and data plane become more open, many new innovations and technologies are emerging, but some experts warn that consumers may be confused as to which of the many technologies to choose. This is a testament to how much innovation is emerging in the network. This paper outlines some emerging applications on the data plane and offers opportunities for further improvement and optimization. Our observations show that most of the implementations are done in a test environment and have not been tested well enough in terms of performance, but there are many interesting works, for example, previous control plane solutions are being implemented in the data plane.
A Robust Cybersecurity Topic Classification Tool
Authors: Pelofske Elijah , M. Liebrock Lorie , Urias Vincent
Published: February 2022

In this research, we use user defined labels from three internet text sources (Reddit, StackExchange, Arxiv) to train 21 different machine learning models for the topic classification task of detecting cybersecurity discussions in natural English text. We analyze the false positive and false negative rates of each of the 21 model’s in cross validation experiments. Then we present a Cybersecurity Topic Classification (CTC) tool, which takes the majority vote of the 21 trained machine learning models as the decision mechanism for detecting cybersecurity related text. We also show that the majority vote mechanism of the CTC tool provides lower false negative and false positive rates on average than any of the 21 individual models. We show that the CTC tool is scalable to the hundreds of thousands of documents with a wall clock time on the order of hours.
Enablers to Boost Blockchain Adoption in EU
Authors: Voulkidis Artemis , Zahariadis Theodore , Papadakis Andreas , Ipektsidis Charalambos
Published: February 2022

This paper describes a framework to facilitate the adoption of the Blockchain technology and streamline the development of decentralised applications (DAPPs). It describes four enablers, as self-contained core modules, offering specific, key functionality using the Blockchain technology. The enabler functionality includes a) Blockchain-based ID management allowing for authentication and authorization, b) the storage of data in the IPFS distributed filesystem with guarantees of data integrity and authenticity, c) the trustworthy registration of entities, services, and bindings, d) the performance of trustworthy negotiations towards external marketplaces with the support of the Blockchain. The design and interactions of the enablers are described using sequence diagrams. The usage of the functionality provided by the enablers is also being evaluated. In parallel, we present the application of the Blockchain technology, mainly in the context of EU project Block.IS in three economic areas agriculture, finance, and logistics. We provide and discuss a digest of the decentralised applications designed and developed over a period of approximately 3 years (2019-2021). Key areas of interest, processes, workflows, and assets where Blockchain technology has been applied are described. Findings, in terms of Blockchain application, challenges and technical selections as well as third-party tools are also identified and discussed.
The effects of music therapy in conjunction with chiropractic management of muscle tension headaches
Authors:   , Da Silva Kendrah Leontine
Published: February 2022

This study proposes to evaluate the combined effects of music therapy and chiropractic treatment in the management of muscle tension headaches, in terms of the patients' response, in order to establish the efficacy of music therapy as an adjunct to chiropractic management of muscle tension headaches. It was hypothesized that music therapy and chiropractic treatment combined have a more beneficial effect, in that it would reduce muscle tension headaches to a greater extent than chiropractic treatment alone, thus reducing the severity, duration and frequency of muscle tension headaches. The diagnostic criteria for muscle tension headache were consistent amongst the majority of authors. The most common cause was attributed to psychological or occupational stress on the posterior neck musculature i .e. an increase in muscle tension. An increase in muscle tension in muscle tension headache sufferers measured with an electromyogram was reported on by various authors. A decrease in electromyogram readings in response to music therapy has also been measured. Certain authors have attributed muscle tension headaches to cervical facet joint dysfunction. The presence of myofascial trigger points occurring concurrently with a muscle tension headache was mentioned. The majority of authors were in agreement as to the most beneficial type of music to be used. The music is to have a
The homoeopathic treatment of recurrent headaches
Authors:   , Lilley Dorian
Published: February 2022

The purpose of this placebo controlled study was to determine the efficacy of Similimum treatment on the treatment of recurrent headaches with reference to the patient's response and perception to treatment in'order to determine the effectiveness of the treatment methods and the management of recurrent headaches in patients. Thirty patients with recurrent headaches were admitted onto the study if they suffered from recurrent headaches at least one or more a month. Patients were recruited by means of advertising in local newspapers, shopping centres and libraries. After an initial consultation which included a detailed case history and physical examination, a double blind, random procedure assured that thirty patients were allocated to one of the two experimental groups ( i.e. fifteen in each group ). One of the groups received Similimum treatment and the other received placebo treatment for a period of three months. Treatment commenced one week after the initial consultation, in order to allow for time to evaluate the case and to prescribe the remedies accurately. The patients were seen regularly during the three-month period ( every two weeks) to evaluate their progress. The patients were given two questionnaires, one describing their headache characteristics and the other their perception changes towards their headaches. The questionnaire describing their headache characteristics (Appendix A) was filled in at the initial consultation and this information was used to select each patient's simillimum remedy, these characteristics tended to stay the stay the same throughout the study.
Antioxidant activity of fermented coffee beans
Authors: Jelena Jesslyn , Yustiantara Putu Sanna
Published: February 2022

A green coffee bean contains phenolic compounds with strong antioxidant activity, such as chlorogenic acid. Fermentation is one of the ways to increase the antioxidant activity of coffee beans by using microorganisms. This review aims to study the antioxidant activity of fermented green coffee beans and the factors involved in the fermentation process. We selected original research articles providing data on the antioxidant activity of fermented green coffee beans published from 2015 to 2021. Fermented green coffee beans shows stronger antioxidant activity compared to the controls. The amount of substrate, yeast (as a starter), and fermentation duration influence the antioxidant activity of the fermented green coffee beans. The fermented green coffee beans with yeast had significantly higher antioxidant activity than those in unfermented coffee.
Análisis de decisiones financieras mediante la programación matemática
Authors: Villarreal Satama Freddy Lenin , Núñez Ribadeneira Janneth Efigenia , Montenegro Gálvez Diego Ignacio , Ullauri Betancourt Santiago Andrés , Coloma Braganza Geovanny Javier
Published: February 2022

El presente trabajo tiene el propósito de generar una propuesta de portafolio de inversiones basada en la metodología de la programación lineal con el uso del método simplex con la técnica de modelado de dos fases. Para ello se toman los datos de Forex tabla 5 de inversiones que ayudaron a establecer las seis variables del modelo, cada una representando al tipo de inversión del portafolio. Los resultados indican que luego de maximizar la inversión en la función objetivo su resultado es de USD 67.790 y que posteriormente se puede generar un análisis de sensibilidad que va en función del monto que el inversionista desee arriesgar.
A SWOT analysis on the implementation of project SCORe at Cupang elementary school main
Authors: Malubay Sheryl R. , Manuel Jeremiah Paul G
Published: February 2022

This study was conducted to analyze the implementation of Project SCORe at Cupang Elementary School Main, Muntinlupa City. The researchers sought this paper to evaluate the program and its adaptability to other institutions. Respondents of the study were the teachers who volunteered to be a part of Project SCORe from school years 2015-2020. Analysis via the SWOT System was used to help the researchers with the evaluation of the transcribed interview responses. Coded responses were analyzed and gave the researchers adequate ones to pick on Project Score 2.0.
Cultura tributaria y su influencia en la evasión de impuestos, en el sector ferretero, en el distrito de Soritor, 2021
Authors: Rodriguéz Zuta Junelly , Torres Torres Mariam Yamilei , Vallejos Tafur Juan Britman
Published: February 2022

El presente estudio, tuvo como objetivo general determinar la influencia de la cultura tributaria en la evasión de impuestos, en el sector ferretero, en el distrito de Soritor, 2021. La investigación fue de enfoque cuantitativo de tipo aplicado con un alcance descriptivo correlacional porque evaluó el grado de asociación o relación entre dos o más variables. El diseño de investigación fue no experimental de corte transversal porque se realizó sin manipular las variables. La población total fue de 15 empresas. Se concluye que, existe influencia de la cultura tributaria en la evasión de impuestos, en el sector ferretero, en el distrito de Soritor, 2021. Mediante el análisis estadístico de Pearson se obtuvo el coeficiente de 0, 949 (correlación positiva alta) y un p valor igual a 0,000 (p- valor ≤ 0.05).
ANALISIS PERHITUNGAN COST PENGELOLAAN SAMPAH (STUDI PADA BUMDES AMARTA)
Authors: Bobby Himawan
Published: February 2022

Penelitian ini bertujuan untuk menganalisis perbandingan metode fullcosting dan variable costing dalam perhitungan harga pokok produksi untukmenentukan harga jual produk pada BUMDes Amarta. Metode full costingadalah metode penentuan harga pokok produk yang memperhitungkan semuaunsur biaya produksi yang terdiri dari biaya bahan baku, biaya tenaga kerjalangsung dan biaya overhead pabrik, baik yang bersifat tetap maupun variabel.Sedangkan variable costing adalah metode penentuan harga pokok produk yanghanya memperhitungkan biaya produksi variabel yang terdiri dari biaya bahanbaku, biaya tenaga kerja langsung, dan biaya overhead pabrik. Penelitian initermasuk penelitian deskriptif. Data yang digunakan, data primer dan sekunder.Metode analisis yang digunakan metode deskriptif yaitu metode yang digunakanuntuk menggambarkan atau menganalisis suatu hasil penelitian tetapi tidakdigunakan untuk membuat kesimpulan yang lebih luas.

Hasil penelitian dan perhitungan ini menunjukkan adanya kelemahandalam perhitungan harga pokok perusahaan. Berdasarkan perbandinganmetode full costing dan variable costing dalam perhitungan harga pokokproduksi pada perusahaan, metode full costing menunjukkan harga pokok yangjauh lebih tinggi daripada metode variable costing, disebabkan karena dalamperhitungan harga pokok produksi pada metode full costing memasukkan semuaakun biaya baik yang berjenis variabel maupun tetap. BUMDes Amartasebaiknnya memasukkan akun-akun seperti biaya penyusutan mesin, biayapenyusutan gedung, biaya penyusutan kendaraan dan peralatan serta biayaasuransi dalam harga pokok produsi dan penentuan harga pokok produkmenjadi lebih tepat.
ANALISIS STRATEGI BISNIS RENTAL MOBIL PT. INTIPRIMA KARYA USAHA (STUDI KASUS PERSFEKTIF STRATEGI DAN LOYALITAS)
Authors: Adi Hermawansyah
Published: February 2022

Tujuan penelitian ini adalah untuk mengetahui gambaran strategi bisnis padausaha rental mobil tambang khususnya di PT. Intiprima Karya Usaha Balikpapan, danmerekomendasikan strategi bisnis yang dapat digunakan oleh PT. Intiprima Karya UsahaBalikpapan sehingga perusahaan dapat bertahan dalam menghadapi tekanan persaingandan menjadi unggul dalam menghadapi para pesaing bisnis di bidang yang sama. Strategibisnis atau strategi bersaing bertujuan untuk menekankan perbaikan posisi persainganproduk barang atau jasa dalam industri. Penelitian ini menggunakan metode kualitatifdeskriptif. Teknik pengumpulan data dilakukan dengan metode wawancara dan dalammemilih informan menggunakan purposive sampling. Penelitian ini dilakukan denganmenganalisa lingkungan eksternal dan internal kemudian dilakukan analisis SWOT dan dimatrikskan sehingga dapat menghasilkan strategi bisnis bagi PT. Intiprima Karya UsahaBalikpapan. Dengan strategi tersebut perusahaan dapat mencapai tujuan yang diinginkanserta dapat bertahan dalam menghadapi tekanan persaingan yang ada.
FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT IMPLEMENTASI PSAK NO. 109 PADA ORGANISASI PENGELOLA ZAKAT DI KOTA BALIKPAPAN
Authors: Selviyana  , Wahyu Junaedi
Published: February 2022

This research aims to examine the influence of attitudes, subjective norms, behavioralcontrol, and knowledge of PSAK No. 109 on the interest in implementing PSAK No. 109 inthe Zakat management organization in the city of Balikpapan. Independent variables inthis study are attitudes, subjective norms, behavioral control, and knowledge of PSAK No.109. The number of samples studied was 6 samples from the Zakat managementorganization in the city of Balikpapan. The research method used is the quantitativeresearch method and the method of analysis used in this study is to use a descriptiveanalysis with SPSS analysis tool version 20. The results of the hypothesis testing showedthat the subjective norms and knowledge of PSAK No. 109 have a significant positive effecton the interest in the implementation of PSAK No. 109. Meanwhile, the attitude andcontrol of behavior has no positive effect on the interest in the implementation of PSAKNo. 109 at Zakat Management organization in Balikpapan City
PENGARUH KEPUASAN KERJA, MOTIVASI, DAN KOMITMEN ORGANISASI TERHADAP KINERJA PEGAWAI UNIT INSTALASI GIZI RUMAH SAKIT DR. KANUJOSO DJATIWIBOWO DI BALIKPAPAN
Authors: Pudjiati  , Dian Catur Lestari
Published: February 2022

Setiap organisasi mengharapkan suatu keberhasilan, untuk mencapai keberhasilantersebut membutuhkan adanya pegawai yang berkualitas. Tujuan penelitian ini adalah untukmengetahui pengaruh kepuasan kerja, motivasi, dan komitmen organisasi secara simultandan secara parsial mempengaruhi Kinerja karyawan Unit instalasi Gizi RS Dr. KanujosoDjatiwibowo Balikpapan. Adapun penelitian dengan obyek penelitian karyawan InstalasiGizi rumah sakit dr. Kanujoso Djatiwibowo di Balikpapan dengan menggunakan sampelsebanyak 66 orang karyawan,analisis menggunakan metode Regresi Linear Berganda.Dari hasil Pengujian secara simultan dengan menggunakan analisis Fisher test yaitudiperoleh nilai Fhitung > Ftabel berarti secara simultan terbukti bahwa variabel Kepuasankerja, Motivasi, Komitmen Organisasi berpengaruh terhadap Kinerja karyawan InstalasiGizi rumah sakit Dr. Kanujoso Djatiwibowo di Balikpapan, hipotesis pertama terbuktikebenarannya. Pembuktian hipotesis kelima variabel Komitmen Organisasi yang mempunyaipengaruh dominan terhadap Kinerja karyawan Unit instalasi Gizi RS Dr. KanujosoDjatiwibowo di Balikpapan, hipotesis ini terbukti dengan hasil pengujian secara parsialdengan nilai uji secara parsial nilai thitung > ttabel dan koefisien korealsi parsial (r) lebihbesar dibanding nilai thitung dan dan koefisien korealsi parsial (r) pada kedua variabel bebaslainnya.
ANALISIS STATISTIK DESKRIPTIF SURVEI BAURAN PEMASARAN PADA TOKO BUKU KARISMA BALIKPAPAN
Authors: Sasmoyo Dimas Radityo., SE., MM
Published: February 2022

Penelitian ini bertujuan untuk menganalisis survei bauran pemasaran pada TokoBuku Karisma di Kota Balikpapan. Bauran pemasaran yang terdiri dari produk,harga, lokasi, dan promosi dapat mempengaruhi berbagai faktor dari seorangkonsumen seperti keputusan dalam pembelian dan kepuasan pelanggan.Diharapkan melalui penelitian ini, dapat diketahui indikator-indikator yang dapatditingkatkan dan diperbaiki oleh perusahaan. Metode analisis yang akandigunakan dalam penelitian ini adalah statistik deskriptif untuk mendapatkangambaran tentang bauran pemasaran yang lebih mendalam melihat dari hasilsurvei berupa jawaban kuesioner dari responden.
TINGKAT RELIGIUSITAS TERHADAP KECURANGAN AKADEMIK PADA MAHASISWA AKUNTANSI DI SEKOLAH TINGGI ILMU EKONOMI (STIE)
Authors: Chairun Nisa  , Pipin Fitriasari
Published: February 2022

This research aims to analyze the effect of fraud diamond and the level of religiosity onacademic fraud. The population of this research is STIE Madani Balikpapan bachelor degreestudents who have taken semester 4 above. The sampling technique uses purposive samplingand the total sample is 75 respondents. Data collection of this research used questionarymethod. Analysis method is Structural Equation Modeling (SEM) with Partial Least Square(PLS) and SmartPLS 3.0 as analysis tools. The results showed that capability had a positiveeffect on academic fraud. While pressure, opportunity, rasionalization, and the level ofreligiosity do not affect on academic fraud
Analisa Pengaruh Kualitas Pelayanan Terhadap Kepuasan Pelanggan Kartu Prabayar dan Pasca Bayar Pada Grapari Telkomsel
Authors: Adi Hermawansyah
Published: February 2022

Telkomsel adalah perusahaan operator seluler pertama di Indonesia yang mendukung perkembangan jaringan telepon seluler dan memiliki kios GraPARI di seluruh Indonesia, sehingga pelayanan pelanggan harus memberikan layanan yang baik kepada pelanggan, karena dengan kualitas layanan yang baik akan mempengaruhi tingkat kepuasan pelanggan. Penulis melakukan penelitian ini bertujuan untuk menganalisis pengaruh kualitas pelayanan terhadap kepuasan pelanggan kartu prabayar dan pascabayar pada GraPARI Telkomsel Penajam, hasil yang dicapai mengarah pada responden pelanggan terhadap kualitas pelayanan pelanggan GraPARI Telkomsel Penajam. Strategi promosi merupakan suatu strategi yang terencana yang kompherensif dan terpadu yang diperlukan untuk mencapai tujuan perusahaan dan sasaran promosinya. Berdasarkan pengecekan dari Aplikasi SQMO dari 550 sms survey yang dikirim kepada pelanggan telkomsel yang merespon puas sebanyak 318 pelanggan dan yang merespon tidak puas sebanyak 1 pelanggan. Hal ini menunjukkan jika strategi promosi pada GraPARI Telkomsel Penajam sudah tertata dengan baik. Dari hasil analisa yang dilakukan pada GraPARI Telkomsel penajam maka dapat seyogyanya agar lebih lagi dalam hal meningkatkan metode dan strateginya dalam promo baru Telkomsel dan selalu memberitahukan kepada seluruh masyarakat terkait produk-produk terbarukan.
O (re)significar do sujeito suicida ditados pelo/no corpo
Authors: SILVA PATRÍCIA APARECIDA DA
Published: February 2022

Resumo: Eleger o suicídio como temática para minha pesquisa de doutorado me possibilita pensar, por um viés analítico, as relações de aversões/inversões do sujeito suicida com o seu corpo, pois o ritual do sujeito com o seu corpo marca-se por um funcionamento que se acentua a partir de uma dupla inquietação: a do corpo submetido e a do corpo desviante. Nas palavras de Azevedo (2013, p. 21) [...] por um lado, a subordinação do corpo à regra e à norma [...], por outro lado [o corpo impelido] incessantemente pelo desvio, pela anormalidade e pelo caráter de ilegalidade presente nesse tipo de celebração contemporânea [...]. [Trata-se dos [...] modos como os investimentos ideológicos disciplinam e subordinam o corpo do sujeito, [através de] formas como o poder, o Estado, o direito [que] coagem o corpo, insinuam-se nele produzindo marcas, cicatrizes e suturas [...]. Logo, se faz necessário explicitar a nascedura deste corpo; como se instituiu ao longo do tempo, enquanto social e individual, por exemplo, se pensarmos a partir da Idade Média, tem o religioso Santo Tomas de Aquino, que rompeu laços com filosofia aristotélica e uniu alma e corpo em um só composto substancial, ou seja, o corpo que é educado se transforma em santuário da alma, o que revela a supremacia da alma sobre o corpo. Palavras-chave: Nomeações; Discurso; Efeitos de sentido; Abstract: Choosing suicide as the theme for my doctoral research allows me to think, through an analytical bias, of the relationships of aversions / inversions of the suicidal subject with his body, because the subject's ritual with his body is marked by a functioning which is accentuated from a double concern: that of the submitted body and that of the deviant body. In the words of Azevedo (2013, p. 21) [...] on the one hand, the subordination of the body to the rule and norm [...], on the other hand [the impelled body] incessantly by deviation, abnormality and due to the character of illegality present in this type of contemporary celebration [...]. [It is about the [...] ways in which ideological investments discipline and subordinate the subject's body, [through] ways in which power, the State, the law [which] coerce the body, insinuate themselves in it by producing marks , scars and sutures [...]. Therefore, it is necessary to explain the birth of this body; as it was instituted over time, as a social and individual, for example, if we think from the Middle Ages, there is the religious Saint Tomas de Aquino, who broke ties with Aristotelian philosophy and united soul and body in one substantial compound, or that is, the body that is educated becomes a sanctuary for the soul, which reveals the supremacy of the soul over the body. Keywords: Appointments; Speech; Sense effects;