bluuebunny/crossref_metadata_2025 huggingface dataset:
Electromagnetic Field Transformations of Near-Field Data Without Global Reference for Magnitude and Phase
Authors: Paulus Alexander , Kornprobst Jonas , Eibert Thomas F.
Published: July 2022

Some innovative near-field antenna measurement setups, e.g., UAV-based, have limited capabilites for providing a phase and magnitude reference to the receiver. Phaseless antenna measurements have always been an important topic for such scenarios, but they often suffer from the unreliability of nonconvex phase retrieval algorithms, necessity of extremely accurate magnitude measurements and strong oversampling requirements. A similar problem arises if the measured magnitudes are impaired, i.e., if the global magnitude reference is unreliable for instance due to drift. We present a linearized method to reconstruct the phases for measurements without a global phase reference as well as an inherently linear method to reconstruct the magnitudes for measurements without a global magnitude reference. The underlying assumption is that a drift in either the phase or the magnitude occurs during the field measurement. With the reconstructed, thus, fully consistent observation vector, standard electromagnetic field transformations are possible and yield accurate and reliable results.
Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions
Authors: Thakur Nirmalya
Published: July 2022

The exoskeleton technology has been rapidly advancing in the recent past due to its multitude of applications and diverse use-cases in assisted living, military, healthcare, firefighting, and industry 4.0. The exoskeleton market is projected to increase by multiple times of its current value within the next two years. Therefore, it is crucial to study the degree and trends of user interest, views, opinions, perspectives, attitudes, acceptance, feedback, engagement, buying behavior, and satisfaction, towards exoskeletons, for which the availability of Big Data of conversations about exoskeletons is necessary. The Internet of Everything style of today's living, characterized by people spending more time on the internet than ever before, with a specific focus on social media platforms, holds the potential for the development of such a dataset by the mining of relevant social media conversations. Twitter, one such social media platform, is highly popular amongst all age groups, where the topics found in the conversation paradigms include emerging technologies such as exoskeletons. To address this research challenge, this work makes two scientific contributions to this field. First, it presents an open-access dataset of about 140,000 tweets about exoskeletons that were posted in a 5-year period from May 21, 2017, to May 21, 2022. Second, based on a comprehensive review of the recent works in the fields of Big Data, Natural Language Processing, Information Retrieval, Data Mining, Pattern Recognition, and Artificial Intelligence that may be applied to relevant Twitter data for advancing research, innovation, and discovery in the field of exoskeleton research, a total of 100 Research Questions are presented for researchers to study, analyze, evaluate, ideate, and investigate based on this dataset. 
Low Mutual Coupling with High Efficiency Circularly Polarized MIMO DRA for On-Chip mm-Wave Applications
Authors: Kshetrimayum Rakhesh Singh , Mishra Mohit , Kongari Saikiran
Published: July 2022

 A low mutually coupled multiple-input multiple-output (MIMO) antenna is designed for on-chip millimetre-wave (mm-Wave) application. Two circularly polarized (CP) cylindrical dielectric resonator antennas (CDRA) with polarization diversity are placed over a double substrate silicon layer. Herein, a simple decoupling approach is applied to inhibit mutual coupling by introducing a metal plate in the substrate between the two DRAs. According to the simulation results, the inserted metallic plate improved isolation by 4-5 dB in the desired CP bandwidth. This is achieved while maintaining excellent radiation efficiency and gain, making the suggested antenna appropriate for mm-wave on-chip MIMO applications. (This paper has been submitted to  Asia-Pacific Microwave Conference 2022 (APMC 2022) )
Outage Probability Analysis of Hard-Switching based Mixed FSO/IRS-aided RF Communication
Authors: Mondal Soumen , Bhowal Anirban , Kashyap Salil , Kshetrimayum Rakhesh Singh , Patra Moumita
Published: July 2022

The performance analysis of hard-switching based mixed free space optical (FSO)/ intelligent reflecting surface (IRS)-aided radio frequency (RF) communication system is carried out in terms of outage probability (OP). The FSO link with larger bandwidth is considered as primary link, it is active for transmission when the FSO channel condition is good enough. The RF link referred to as the back-up link is activated for transmission whenever the FSO link is poor. Further, the transmission via RF link is assisted by an IRS consisting of reflecting elements that are programmable and passive in nature. For this setup, the OP is evaluated for different numbers of reflecting elements at the IRS. In order to obtain 0:001 OP with 28 dB transmit SNR of the RF link, the required transmit SNR of the FSO link with 90 elements at the IRS in the RF link is 27 dB whereas, with 100 elements at the IRS, the required SNR is 18 dB. Thus, it has been observed that the use of 10 IRS elements can reduce the required SNR of FSO link by 9 dB while keeping the OP fixed. The impact of the IRS on the OP is significant specifically when the FSO link is weak. Further, the OP performance of hard-switching scheme based mixed IRS-aided RF/FSO system has been analyzed considering both strong and moderate atmospheric turbulences, and different link distances. (This paper has been submitted to IEEE GLOBECOM Workshop 2022)
Outage Probability Analysis of Hard-Switching based Mixed FSO/IRS-aided RF Communication
Authors: Mondal Soumen , Bhowal Anirban , Kashyap Salil , Kshetrimayum Rakhesh Singh , Patra Moumita
Published: July 2022

The performance analysis of hard-switching based mixed free space optical (FSO)/ intelligent reflecting surface (IRS)-aided radio frequency (RF) communication system is carried out in terms of outage probability (OP). The FSO link with larger bandwidth is considered as primary link, it is active for transmission when the FSO channel condition is good

enough. The RF link referred to as the back-up link is activated for transmission whenever the FSO link is poor. Further, the transmission via RF link is assisted by an IRS consisting of reflecting elements that are programmable and passive in nature.

For this setup, the OP is evaluated for different numbers of reflecting elements at the IRS. In order to obtain 0:001 OP with 28 dB transmit SNR of the RF link, the required transmit SNR of the FSO link with 90 elements at the IRS in the RF link is 27 dB whereas, with 100 elements at the IRS, the required

SNR is 18 dB. Thus, it has been observed that the use of 10 IRS elements can reduce the required SNR of FSO link by 9 dB while keeping the OP fixed. The impact of the IRS on the OP is significant specifically when the FSO link is weak. Further, the OP

performance of hard-switching scheme based mixed IRS-aided RF/FSO system has been analyzed considering both strong and moderate atmospheric turbulences, and different link distances. (This paper has been submitted to IEEE GLOBECOM Workshop 2022)
Locality Preserving Projections with Autoencoder
Authors: Ran Ruisheng , Feng Ji , Li Zheng , Wang Jinping , Fang Bin
Published: July 2022

The proposed LPPAE method in this paper combines the conventional LPP and Autoencoder creatively. The idea of LPPAE can be made as a general framework and then extended to variants of LPP, so a series of new methods of LPP can be derived. And, the idea of LPPAE can also be extended to the other manifold-based dimensionality reduction methods, for example IsoP, NPE, LLTSA, etc., so that these methods will have new versions and achieve better performance. 
Image Caption Bot with Keras and Speech Generation for Visual Aid
Authors: Patel Dhananjay
Published: July 2022

How image classification is done and how it can be helped out for visual aid
High throughput bit pattern matching implemented on FPGA
Authors: Nikolaidis Dimitris
Published: July 2022

 Bit-pattern detection is essential to network intrusion detection systems. In this paper we are  attempting to offer a universal solution to the problem of bit pattern detection through the use of a  throughput focused architecture. The circuit presented is an accelerator implemented on an FPGA. By  exploiting the technique of pipelining, we achieve throughput in the magnitude of Terabits while  minimizing hardware consumption. Two versions of the circuit are presented. The first version  consumes very little in terms of hardware but has limited throughput and detection capabilities. The  second version uses the first as a building block to increase the size of inputs per clock cycle. It  consumes more resources; however, it is the version which can provide the highest throughput. 
Energy-Efficient Data Collection and Resource Allocation in Age-Aware IoV
Authors: Chen Fangzhe , Liwang Minghui , Gao Zhibin , Huang Lianfen
Published: July 2022

The emergence of Internet of Vehicles (IoV) has facilitated many
attractive vehicular applications that require massive sensed data and
timely data analysis. Data collection and resource allocation are
critical issues in IoV for timely data processing in dynamic network
environments. However, the energy consumption of IoV infrastructure and
vehicles pose challenges to developing sustainable vehicular
communication and networking infrastructure. Moreover, the communication
and computing resources are generally insufficient to support the
transmission and analysis of the excessive data. Vehicular data are
often updated periodically, which makes much of which outdated, or
useless for vehicular applications, and thus leads to large latency and
tremendous energy consumption. To this end, age of Information (AoI) has
been introduced as a novel metric to characterize data freshness.
Satisfying the state update AoI constraint is of great significance to
guarantee the freshness of the IoV system. In this paper, we design a
sampling strategy with responsive transmission and computing (e.g., no
waiting latency), and investigate an energy minimization problem under
peak AoI constraints in age-aware vehicular networks. We decouple the
problem as a minimum set cover problem, and a convex problem, and
propose a joint sampling selection and resource allocation (JSRA)
algorithm to obtain the approximate optimal solution. We evaluate the
proposed sampling selection and resource allocation strategy and JSRA
algorithm by experiments on the simulation of urban mobilty (SUMO).
Numerical results show that the proposed sampling strategy and algorithm
outperform existing methods in terms of energy consumption, especially
for the scenario with dense vehicles and pedestrians.
Towards Differential Static Magnetic Localization of Commercial Capsule Endoscopes: An Evaluation Using Different Ring and Cylindrical Magnets
Authors: Zeising Samuel , Chen Lu , Thalmayer Angelika , Fischer Georg , Kirchner Jens
Published: July 2022

Capsule endoscopy is a promising diagnostic tool for the entire gastrointestinal tract. Since a patient swallows the capsules, their size must be sufficiently small. The principal built-in components are cameras, silver-oxide batteries, light emitting diodes, and an antenna for transmitting the video. For diagnosis and treatment, the precise localization of the capsules for specific video frames is required. Recently, static magnetic localization of these  apsules with an integrated permanent magnet showed promising results. However, in the state-of-the-art, relatively large magnets compared to the small capsules were used. Therefore, in this extended paper, the localization performance of a recently proposed optimized differential static magnetic localization method for different-sized discs and ring magnets was evaluated. The ring magnets were designed for integration with the two batteries of commercial capsules. The magnets were evaluated in static and dynamic scenarios to evaluate the performance of the method in a patient’s daily life. It was revealed that the mean position and orientation errors did not exceed 5 mm and 4°, respectively, for all applied magnets except for the 1.5 mm and 3 mm long disc magnets. Moreover, the results indicated that the ferromagnetic batteries of capsule endoscopes increase the localization performance when they are centered within a diametrical ring magnet. Overall, it was revealed that the localization performance of the optimized differential method is significantly better than the state-of-the-art even when the magnet volume is significantly reduced compared to previous work. Therefore, it was concluded that a 5 mm long disc magnet or a ring magnet are excellent candidates for integration into a commercial capsule for magnetic localization and yield the advantage of being passive magnetic sources.
Some aspects of Blockchain-Enabled Radio Access Networks (B-RAN) modeling: review and theoretical study
Authors: Kontorovich Valeri
Published: July 2022

The impressive growth of the demand for wireless services for 5G and beyond, particularly encouraged by the Internet of Things, Internet of Everything, etc., raised up the importance of the problems related to the drastic increase (among others) of spectrum efficiency of the systems. In this regard two opportunistic trends were recently discussed by practical professionals and academicians: non-orthogonal spectrum sharing (NOMA transmission) for user equipment (UE) at physical layer level and decentralized Blockchain-enabled Radio Access (B-RAN) paradigm at network layer label. Both of them promise a significant growth on the transmission rate and the spectrum efficiency with low latency, etc. not only for 5G networks, but further, towards 6G networks and so on. 

Moreover, it is a fact that the number of published works for B-RAN (some of them considered hereafter) is very impressive, however, the attention to its modeling aspects is rather limited.

The following material is dedicated to present several theoretical aspects of the small-scale modeling of B-RAN based on two well-known principles: continuous time Markov stochastic processes with discrete set of states for B-RAN modeling and self-similar processes for its traffic modeling.
Cybersecurity of Electric Vehicles Charging Systems By Using Residual Generation Technique
Authors: Anvaripour Mohammad , Alavi S.M.Mahdi , HAYES MARTIN , Saif Mehrdad
Published: July 2022

With the rapid penetration of electric vehicles (EVs), the security of EV charging systems is becoming an important issue. This paper addresses cyber-physical protection of EV charging systems from the perspective of control theory. By using a residual generation technique, an attack-resilient EV charging system is designed, which detects false data injection under the denial of service (DOS) attack. The effectiveness of the proposed attack-resilient EV charging system is verified experimentally by using a hardware-in-the-loop testbed, developed by the IEEE 802.15.4 wireless sensors.
An Analytical Model for Stepwise Adiabatic Driver Energy Consumption
Authors: Carlson Eric , Smith Joshua
Published: July 2022

This paper presents a complete closed-form analytical model for determining the per-cycle energy consumption of a stepwise adiabatic drivers used for driving a capacitive load such as a power FET gate. The model takes into account the number of steps used, the stepwise driver tank capacitance, the load capacitance, and the stepwise driver switch resistance and on-time. Model accuracy is compared to that of simulation and models from previous work.
Adversarial Image Perturbation: A Survey
Authors: Sabharwal Kanav , Kabir Mohimenul , Chatterjee Kushagra
Published: July 2022

Over the past decade, neural networks have shown commendable performance in complex tasks such as Image Recognition, Natural Language Processing, and game playing. At the same time, these networks have unfortunately been proven to be susceptible to minor changes to their inputs, commonly called adversarial perturbations. For example, an otherwise accurate DNN model can be deceived into misclassifying a given image by making slight alterations to the image, invisible to human eyes. Such adversarial attacks make it challenging to deploy them in security-sensitive applications such as autonomous vehicles. It is, therefore, crucial to understand adversarial attacks to test the robustness of a model and come up with suitable defense techniques. This paper aims to survey popular works in this domain. In our discussion, we broadly classify the attacks as image-dependent or independent and targeted or untargeted. We also cover some interesting defense techniques. We discuss real life or physical attacks where an attacker can perturb the image in real life, for instance, by painting a stop sign or pasting stickers on objects. We also show some experimental results, as we test the performance of two adversarial attacks against a pre-trained VGG19 model on Imagenet dataset.
Multi-User Linearly-Separable Distributed Computing
Authors: Khalesi Ali , Elia Petros
Published: July 2022

In this work, we explore the problem of multi-user linearly-separable distributed computation, where N servers help compute the desired functions (jobs) of K users, and where each desired function can be written as a linear combination of up to L (generally non-linear) subtasks (or sub-functions). Each server computes some of the subtasks, communicates a function of its computed outputs to some of the users, and then each user collects its received data to recover its desired function. We explore the computation and communication relationship between how many servers compute each subtask vs. how much data each user receives.

For a matrix F representing the linearly-separable form of the set of requested functions, our problem becomes equivalent to the open problem of sparse matrix factorization F=DE over finite fields, where a sparse decoding matrix D and encoding matrix E imply reduced communication and computation costs respectively. This paper establishes a novel relationship between our distributed computing problem, matrix factorization, syndrome decoding and covering codes. To reduce the computation cost, the above D is drawn from covering codes or from a here-introduced class of so-called `partial covering' codes, whose study here yields computation cost results that we present. 
Performance of Integrated Ground-Air-Space FSO Links over Various Turbulent Environments
Authors: Ata Yalçın , Alouini Mohamed-Slim
Published: July 2022

We analyze the outage probability of integrated ground-air-space free-space optical (FSO) communication links for different atmospheric turbulence channel models. The performance of ground to high altitude platforms (HAPS), HAPS to geostationay Earth orbit (GEO) satellite, HAPS to HAPS and ground to GEO satellite is investigated for various link configurations (downlink, horizontal, and uplink) and parameters such as zenith angle, channel state, horizontal and vertical deviations, altitude, beam waist, receiver aperture diameter, wind speed, and visibility. The atmospheric attenuation (the effects of fog, cloud and volcanic activities), atmospheric turbulence, angle of arrival (AOA) fluctuations and pointing error are included in the considered model. Closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) are obtained for Lognormal, Gamma and exponentiated Weibull distributed channel models. The benefit of using HAPS is shown by comparison of outage probabilities for direct ground to GEO satellite and HAPS assisted ground to GEO satellite links.
Shared Network Function Placement for Cloud Native 5G Core Networks
Authors: YILMAZ Ömer Zekvan , Alagöz Fatih
Published: July 2022

Cloud Native Sharing Model and A Heuristic Approach are proposed.
Replication Robust Payoff Allocation in Submodular Cooperative Games
Authors: Han Dongge , Wooldridge Michael , rogers alex , OHRIMENKO OLGA , Tschiatschek Sebastian
Published: July 2022

Submodular functions have been a powerful mathematical model for a wide range of real-world applications. Recently, submodular functions are becoming increasingly important in machine learning (ML) for modelling notions such as information and redundancy among entities such as data and features. Among these applications, a key question is payoff allocation, i.e., how to evaluate the importance of each entity towards the collective objective? To this end, classic solution concepts from cooperative game theory offer principled approaches to payoff allocation. However, despite the extensive body of game-theoretic literature, payoff allocation in submodular games are relatively under-researched. In particular, an important notion that arises in the emerging submodular applications is redundancy, which may occur from various sources such as abundant data or malicious manipulations where a player replicates its resource and act under multiple identities. Though many game-theoretic solution concepts can be directly used in submodular games, naively applying them for payoff allocation in these settings may incur robustness issues against replication. In this paper, we systematically study the replication manipulation in submodular games and investigate replication robustness, a metric that quantitatively measures the robustness of solution concepts against replication. Using this metric, we present conditions which theoretically characterise the robustness of semivalues, a wide family of solution concepts including the Shapley and Banzhaf value. Moreover, we empirically validate our theoretical results on an emerging submodular ML application, i.e., the ML data market.
Pengembangan Destinasi Wisata Masjid Kapal Safinatun Najah dengan Komponen Pariwisata 3A di Kota Semarang
Authors: Palupiningtyas Dyah , Supriyadi Andhi , Yulianto Heru , Dewi Maria Aletta
Published: July 2022

Development of tourism destination of Masjid Kapal safinatun najah with 3A tourism component in Semarang City
The research was designed to understand and to explain potential and tourist attraction at Safinatun Najah Mosque based on 3A of tourism component and explanation of development efforts by the administrator, government, and community as well as knowing the benefit of Safinatun Najah Mosque development. Qualitative description research is mentioned as research that produce scientific research that use description data in the form of words written or verbally off people or behaviour which observe to a group of people or an object and group of culture (Maleong J, 1991). Developing of attraction at Safinatun Najah Mosque by optimising the empty space. Developing and maintaining of amenity by continuous care and developing of accessibility by enlargement of the street traffic sign and giving the transportation of public. This development gives an economic impact such also gives a social and cultural impact.
Atraksi Pencaksilat Merpati Putih Sebagai Daya Tarik Wisata Dalam Upaya Melestarikan Warisan Budaya Indonesia
Authors: Pramana Widagda Sidiq , Prasetyanto Hermawan , Suharto Totok , Yuwono Suselo Heru
Published: July 2022

ABSTRACT

Merpati putih is a pencak silat which is an original Indonesian cultural heritage that is very feasible to be preserved and developed. The existence of Merpati Putih has proven that this pencak silat school provides enormous benefits for fitness, health and the good name of the nation. This paper is carried out in order to explore data and information regarding the history of the development of PPS Merpati Putih, and how the development of Merpati Putih Pencak Silat as a cultural attraction and how to maintain it so that it becomes a martial art as it emerged. With a descriptive literature method, this paper was developed through a qualitative approach, where various data are collected, studied, reduced, described, analyzed, then interpreted. From the research conducted, it can be concluded that Merpati putih is a Pencak Silat of the Empty Hand (Betako) Martial Arts which has existed since the first colonial period, then de facto and de jure was inaugurated on April 2, 1963 in Yogyakarta. Merpati Putih is one of the pencak silat schools that originated from the Mataram Sultanate and then developed to become a member of IPSI, the Martial Arts Federation for World Peace (MAFWP), and the International Pencak Silat Federation or Persilat (International Pencak Silat Federation). Merpati Putih has been used as a medium and medium in introducing Indonesia to the international scene. In many existing activities, there is always a positive content, in order to maintain and develop Merpati Putih pencak silat as a cultural heritage from the ancestors of the Indonesian nation.

 

Key words: pencak silat, white dove, cultural heritage
Business Model Canvas
Authors: Muhammad Diaudin  , Nasikh
Published: July 2022

Business Model Canvas: Strategy Planning For The Development Of Karangsari Star Agro-Tourism In Blitar City During The Covid-19 Pandemic. This study aims to determine a strategic plan for the development of Karangsari Starfruit Agrotourism during the COVID-19 pandemic. The method in this research is descriptive qualitative with a Business Model Canvas approach and SWOT analysis. The results of this study are an overview of the current Business Model Canvas from Karangsari Belimbing Agrotourism and a development strategy plan that is prepared based on a SWOT analysis on each Business Model Canvas block. The resulting strategic plan is to expand the target audience, add photo spot facilities and rest areas, add new social media for marketing, utilize social media to establish good relations with visitors, manage social media content consistently, increase collaboration, utilize empty areas and improve quality. HR, reducing variable costs according to priority needs, and increasing income from existing sources.
印尼大学生猜词策略探究 Study on the Guessing Strategies of Indonesian’s College Students
Authors: Hongguang Deng , Juliana Juliana
Published: July 2022

摘要阅读活动是一个多因素作用、多向交流和反应的复杂解码过程。解码过程需要文字、语言、语境、文化等方面知识的共同作用。因此词汇知识、文化知识以及语言环境常常影响我们阅读的准确率和阅读效率。二语阅读难于母语阅读的原因是来自多方面的。大学生群体是一个特殊的学习群体。他们往往思维活跃，掌握比较完备的知识体系，对外部世界的变化更加敏感。阅读文本中的材料，他们都能通过各种途径获得。这给猜词策略的进行提供了必要的知识背景。另外，汉语使用的书写符号是象形文字这种符号既有表音又能表义功能，这给阅读提供了一个非常有利的猜词因素。笔者还做了猜词策略内部之间的比较，比较了词汇知识和语境知识哪个在阅读中的产生的影响比较大。关键词：猜词策略；词汇知识；语境知识；大学生
ANALISIS PERUBAHAN MAKNA LEKSIKAL DALAM PENERJEMAHAN KOSAKATA PADA MESIN PRODUKSI BAJA DENGAN MENGGUNAKAN GOOGLE TRANSLATE
Authors: Avenida Quinta , Aviani Lza Austie
Published: July 2022

AbstrakMenurut Soemarno dalam Masduki(2011:9), makna dalam penerjemahan tidak hanya bisadirunut dari kata per kata secara individual, tetapi makna penerjemahan harus dilihat darirangkaian antarkata yang saling berkaitan secara utuh yang terbungkus dalam suatu prosodiatau dengan situasi di mana kata-kata itu digunakan. Dalam penerjemahan ada beberapajenis makna, diantaranya makna leksikal, makna gramatikal, makna tekstual dan maknaimplisit. Penelitian ini menitikberatkan analisa perubahan makna leksikal hasil terjemahankosakata mesin produksi baja yang diterjemahkan dengan menggunakan Google Translatedari bahasa Mandarin ke dalam bahasa Indonesia. Dari data kosakata mesin produksi bajayang dimiliki oleh Gunung Steel Group, Cikarang penulis mengambil sebanyak 13 sampel datauntuk dianalisis. Penelitian ini menggunakan metode analisis isi dengan pendekatan secarakualitatif, dengan objek penelitian daftar kosakata mesin produksi baja di Gunung Steel Group.Kata kunci: Penerjemahan; Perubahan Makna; Mesin Produksi Baja; Google Translate
Métodos e dados visuais em Investigação Qualitativa: Natureza, Função e Exemplo Prático com uso de Fotografias
Authors: Ana Isabel Rodrigues
Published: July 2022

O contexto social nos dias de hoje profundamente marcado por uma cultura visual torna o universo da imagem omnipresente. Partindo desta premissa, toda a representação visual tem potencial para ser estudada e analisada em projetos de investigação qualitativa, permitindo ‘visualizar’ as dimensões intangíveis da atividade humana. Um estudo que utilize dados visuais pode ser revelador de novas perspetivas que muitas vezes não estão acessíveis através da utilização de outro tipo de dados. Novas abordagens, métodos e técnicas de análise de dados visuais são hoje uma realidade. O presente capítulo inicia com uma reflexão sobre a utilização de métodos e dados visuais em investigação qualitativa, procurando compreender o seu campo de atuação. Este trabalho explora, ainda, alguns exemplos de métodos visuais e ferramentas analíticas aplicadas a dados visuais para, de seguida, partilhar um exemplo prático de aplicação de método e dado visual numa investigação desenvolvida pela autora, tendo por base um conjunto de etapas, explicando cada uma delas, com o propósito de tornar mais claro e organizado o pensamento e metodologia adotada. No final, são igualmente discutidos alguns contributos e limitações no uso do elemento visual em projetos de investigação.
COMPARAÇÃO DO PERFIL ANTROPOMÉTRICO DE JOGADORES PROFISSIONAIS E AMADORES DO FUTEBOL 7
Authors: Lima Guilherme Martins , Schons Pedro , Klein Lucas Moraes , Vargas Guilherme Droescher de , Preissler Artur Avelino Birk
Published: July 2022

O futebol 7 é um dos esportes derivados do futebol de campo com um crescimento notório no cenário nacional, culminando na profissionalização de jogadores através de grandes clubes do panorama nacional e consequentemente aumentado suas exigências fisiológicas e cuidados com a parte física dos atletas. Sendo assim, o objetivo do estudo foi descrever e comparar o perfil antropométrico de jogadores amadores e profissionais do futebol 7. A amostra foi constituída de 16 atletas profissionais e 14 jogadores amadores de futebol 7 masculinos. Foi realizada uma avaliação antropométrica, mensurando estatura, massa corporal e dobras cutâneas. Posteriormente, foram estimados os valores percentuais de gordura, massa muscular e realizado o somatório das dobras cutâneas. Os jogadores profissionais obtiveram em média 78,03 ± 12,21 de massa corporal, menor que atletas amadores que obtiveram 88,81 ± 9,93 em média, apresentando uma diferença significativa (p=0,013). Por fim, os jogadores profissionais de futebol 7 apresentaram menor massa corporal se comparados a atletas amadores na região de Porto Alegre-RS.
A DETAILED REVIEW ON NATURAL BIOPOLYMERS FOR TABLET AND PELLETS COATING
Authors: Kavitha Choudhary  , Snahasis Adhikari  , Moumita Banerjee
Published: July 2022

Natural polymers are one of the important scopes of pharmaceutical formulation as they provide various precedence over synthetic polymers like they are biodegradable, non-toxic, biocompatible, and easily available. There are various natural polymers available like collagen, fibrinogen, soya protein, polysaccharide, starch, chitin, alginate, chitosan, agar, and zein. Similarly, this present review will focus on biopolymer and their probable pharmaceutical uses. As per the detailed literature search, it has been found that naturally available biopolymers are having multiple pharmaceutical applications along with pharmacological activities and advantages, above mentions polymers composition, origin, uses and activities and future uses are discussed in detail in this review. This review also focuses on the use of the biopolymers in different types of covering in the tablets formulation
Keywords- natural polymer, coating material, pharmaceutical excipients, natural coating materials, Eco friendly.
EPONYMOUS TERMS IN THE MORPHOLOGY OF ANGIOARCHITECTONICS OF THE HUMAN HEAD
Authors: Hryn Volodymyr , Yudina Kseniia , Donchenko Viktoriia , Zhamardiy Valeriy , Horoshko Viktoriia
Published: July 2022

The aim: The aim of the study is to investigate and describe eponymous terms of angioarchitectonics of the human head and to determine their features and possibilities of their functioning in modern medical terminology.
Materials and methods: The work uses general philosophical and general scientific research methods: dialectical, historical-chronological, bibliographic-descriptive, analytical, etc. This bibliographic analysis is based on published peer-reviewed articles, books, textbooks, monographs. The search period covered the period from 2010 to 2021.
Conclusions: The study of eponymous terms contributes to the disclosure of the evolution of clinical disciplines, the diagnostic process of thinking, as well as the formation of terminological competence in applicants for higher medical education, their mastery of the language of the specialty.
Teatro, historia e identidad tallán en Sullana
Authors: Arrizabalaga Lizárraga Carlos
Published: July 2022

It offers a series of comments, clarifications and suggestions based on the publication of the scripts that were developed to celebrate the annual commemoration of the first foundation of the city of San Miguel in Tangarará in Sullana (Peru) at a school festival. Information is provided about the main promoters of the celebration and the authors of the script and the interpretation offered by Luis Millones and Renata Mayer is questioned. Despite some inconsistencies and errors, the representation of Tangarará aims to offer a version quite adjusted to historical reality, of brief resistance and peaceful submission between Spanish rule and the original population. It aims to affirm a feeling of local pride for being the first Spanish city, as well as promoting regional autonomy based on the differential identity of the Tallanes, as opposed to the centralism of the departmental capital.
Análisis del planeamiento arquitectónico en el Horizonte Medio
Authors: Sulca Huarcaya Nils Ramiro
Published: July 2022

La sociedad wari (600 d. C.-1000 d. C.) reflejó un cambio socio político fundamental en el territorio andino, desarrollando novedosas técnicas de planeamiento arquitectónico de gran relevancia para el entendimiento de la naturaleza de su expansión. Wiracochapampa y Pikillaqta, fueron reflejo de la instalación del dominio Imperial en dos extremos del territorio. La similitud del patrón arquitectónico de ambos hace pensar que habrían sido edificados por un aparato regulador, donde posiblemente se utilizaron instrumentos como, modelaciones arquitectónicas en cerámica, representaciones simbólicas en textiles e incluso quipus.
The Influence of Storage Conditions on the Microbial Quality of Daucus carots (Carrots) and Capsicum annuum (Green Pepper)
Authors: Nnenna Jennifer.P Omorodion , Lilian Oge,
Published: July 2022

The influence of different storage conditions on the microbial quality carrot (Daucus carots) and green pepper (Capsicum annuum) was determined using standard microbiological method from day zero to day ten. Total bacteria count for carrot stored at room temperature ranged from Log10Cfu/g 3.22 to 7.45 and for carrot stored at refrigeration temperature ranged from Log10 Cfu/g 2.13 - 3.14. Total bacteria count for green pepper stored at room temperature ranged from Log10Cfu/g 4.22 to 7.45 and for green pepper stored at room temperature ranged from 1.12 to 4.14 for refrigeration temperature. Bacteria isolated includes E.colI (4%), Bacillussp. (8%), Pseudomonas (16%), Proteus vulgaris (4%), Staphylococcus sp. (28%), Klebsiella (8%), Salmonella (12%), Micrococcus sp. (12%) and Acinetobacter (8%). Fungal count for carrot at room temperature ranged from Log10 2.22 to 2.54 Cfu/g and 2.01 to 2.34 Cfu/g for refrigeration temperature. Fungal count for green pepper at room temperature ranged from Log10 Cfu/g 3.02 to and 7.45, Log101.81 Cfu/g to 3.34 for refrigerationtemperature. Fungal isolated includes Penicillium (33.3%), Aspergillus (53.3%), and Candida (13.4%). Proximate composition indicates that moisture, ash, carbohydrates, lipid and fibre are lower at room temperature compared to refrigeration temperature. Temperature and storage duration have been said to affect the content of fruits and vegetables, therefore constant temperature and appropriate storage condition should be maintained.
The Effect of Role Playing Strategy on Students’ Speaking Ability At Eighth Grade of SMP Negeri 9 Pematangsiantar
Authors: Purba Ridwin , Aritonang Cindy Nirvana
Published: July 2022

The objective of this research was to find the effect of role play strategy on students’ speaking ability at eighth grade of SMP Negeri 9 Pematangsiantar.This research was conducted at SMP Negeri 9 Pematangsiantar with method of this research used quantitative methhod with true experimental method. Population of this research was eighth grade students and sample of this research was two class of eighth grade divide into control and experimental class that consist of 64 students. The technique of collecting data was pre-test and post-test. The technique of analyzing data was use SPSS version 21.0. The result of this test. If the tcount value is higher than the ttable at the significance level 0.05 and the degree fredoom (df) N-1, thus the alternative hypothesis (Ha) was accepted and null hypothesis (Ho) is rejected. The researcher found that tcount 4.50 > ttable 1.66 at significance level 0.05 with the degrees of fredoom (df) (32-1=31) for each class so the degrees of freedom is 62. It means that Ho is rejected and Ha is accepted.Using role play strategy is able to develop the students’ speaking ability at the eighth grade students of Smp Negeri 9 Pematangsiantar. It can be seen in the result of the analysis data which shows that there is a significant progress between the students’ speaking ability before and after the researcher given the trearment. The score in experimental class is more significant increase than in control class because of the researcher give the treatment
Multilevel inverter D-STATCOM for reducing total harmonic distortion in a non-linear loads electrical distribution system
Authors: Callacando Marlon , Pavón Wilson , Ortíz Leony
Published: July 2022

El paper presenta el análisis de rendimiento de un Inversor Multinivel en Cascada D-STATCOM para reducir la distorsión armónica total, que basa su control en la estrategia del marco de referencia síncrono.                                                

La distorsión armónica es recurrente en las redes de distribución eléctrica actuales debido a la presencia de cargas no lineal, como electrodomésticos u otros dispositivos que tengan en sus componentes electrónica de potencia.

El funcionamiento del sistema es evaluado antes y después de implementar la compensación.   La simulación y análisis de los resultados de esta investigación está validado en el sistema de pruebas de la IEEE de 13 barras, en MATLAB y Simulink, alcanzando excelentes resultados en reducción del contenido armónico del sistema.
,,Anprangerung feudalabsolutistischer Unterdrückung“? : Zur Rezeption der Lyrik Ewald Christian von Kleists in der DDR
Authors: Willmitzer Christoph
Published: July 2022

Abstract Die literarische wie politische Rezeption von Werk und Leben Ewald Christian von Kleists (1715–1759) in der DDR deutet den Lyriker der Frühaufklärung mitunter zum Kritiker des preußischen Militärstaats um. Die Ausgabe von Kleists Werken
in der Reihe Märkischer Dichtergarten und verschiedene Kleist-Bezugnahmen der Reihenherausgeber Gerhard Wolf und Günter de Bruyn bilden weitere Schwerpunkte der Studie.
PENERAPAN MANAGING CHANGE PADA PERUBAHAN SISTEM KREDIT MIKRO OLEH PT. BANK RAKYAT INDONESIA - UNIT GUNUNGSARI SURABAYA
Authors: Ariyani Komang Avidia
Published: July 2022

Abstrak: Pada era globalisasi saat ini, setiap perusahaan dituntut untuk terus mengikutiperkembangan zaman, dengan terus melakukan perubahan tiap tahunnya, mulai dariperubahan kecil hingga perubahan besar yang berkaitan dengan internal karyawan,costumer, lingkungan dan perusahaan milik pemerintah. Untuk mendukung programpemerintah di era industry 4.0 PT. Bank Rakyat Indonesia meluncurkan system baru padasystem kredit mikro yang bernama “BRISPOT”. Penerapan “Managing Change” adalahcara yang tepat dalam menanggapi adanya permasalahan tentang perubahan yang adapada suatu perusahaan. Aktivitas Managing Change yang diterapkan meliputi MotivatingChange dan Sustaining Momentum. Penelitian ini bertujuan untuk mengetahui bagaimanadampak dari penerapan Managing Change pada perubahan system kredit mikro PT.BankRakyat Indonesia, serta bagaimana BRI dapat tetap mempertahankan keunggulannyadalam persaingan di dunia perbankan Indonesia. Penelitian ini merupakan penelitiandeskriptif kualitatif dengan data diperoleh melalui observasi dan wawancara mendalam (indepth interview). Berdasarkan hasil penelitian dengan menerapkan Managing Changepada perubahan system kredit mikro oleh PT. Bank Rakyat Indonesia - Unit GunungsariSurabaya dapat memberikan kemudahan bagi seluruh jajaran pegawai menanggapiperubahan yang terjadi serta dapat menerapkan dengan baik perubahan tersebut untukmempertahankan keunggulan BRI di dunia perbankan Indonesia.Kata Kunci: BRI, BRISPOT, Kredit Mikro, Industry 4.0, Managing ChangeAbstract: In this globalization era, every company is required to keep abreast of the times,by continuesly changes in each year, from small changes to major changes relating tointernal employees, customers, the environment and government-owned companies. Tosupport government programs in the industrial era 4.0 PT. Bank Rakyat Indonesialaunched a new system in the micro credit system called "BRISPOT". Implementation of"Managing Change" is the right way in responding to the problems of changes that exist ina company. Managing Change activities that are applied are Motivating Change andSustaining Momentum. This study aims to determine the impact of the implementation ofManaging Change on changes in the micro credit system of PT Bank Rakyat Indonesia, aswell as how companies can continuesly maintain the good position in Indonesian bankingworld competition. This research is a qualitative descriptive study with data obtainedthrough observation and in-depth interviews. Based on the results of research byimplementing Managing Change on changes in the micro credit system by PT. BankRakyat Indonesia – Unit Gunungsari Surabaya can make all employees are easily torespond to the changes that occur and can apply these changes properly to maintain BRI'sfirst position in the Indonesian banking world.Keywords: BRI, BRISPOT, Credit Micro, Industry 4.0, Managing Change
Contemporary Technical Solutions for Milking Stalls and Dairy Barns with AMS
Authors: Paunova-Hubenova Elena , Karastoyanov Dimitar , , Trichkova-Kashamova Elisaveta
Published: July 2022

In recent years, there has been an increase in dairy consumption in many countries. For this reason, the number of dairy farms and herds' sizes is also increasing. To reduce the work of operators, many innovative solutions are developed in animal husbandry. The present paper describes and analyzes different technologies applied in cow farms, focusing on robotic and automated milking systems (AMS). The cost of purchasing an AMS is high, and the robot should be used at its highest possible capacity. This paper provides guidelines for increasing the capacity of AMS by reviewing and analyzing information from various articles on this topic. Also, here are presented different types of parlor configurations, dairy farm management, and the most frequently used elements of barns and milking stalls.
A Review on Microarray technology in molecular diagnostics
Authors: Sezer Abas
Published: July 2022

Advances in technology opened many doors, increased opportunities in various research fields, and helped create tools and devices required for many analyses. One of them is microarray technology. It is widely used in numerous research areas including infection biology, detection of small noncoding RNAs, microarray-based gene expression profiling, and many more. Microarray implementation in molecular diagnostics and their use as diagnostic devices are considered a step closer to precision medicine. Further advances in microarray technology can potentially help with the identification of new pathogens, improvement in medicine, and better drug delivery.
A retrospective look at influenza during the COVID-19 pandemic
Authors: KERGET Ferhan , KERGET Buğra
Published: July 2022

Aim: Influenza is the main cause of acute respiratory disease worldwide and is transmitted via the respiratory secretions of infected individuals. The aim of this study was to retrospectively investigate influenza, a virus with which we have a longer history, during a period in which the COVID-19 pandemic has dominated current events in terms of viral infections.

Material and Method: Epidemiological and laboratory data of patients over 18 years of age who tested positive for influenza infection and received inpatient treatment in the Erzurum Regional Training and Research Hospital between January 1, 2019 and December 31, 2020 according to the influenza management algorithm of the Public Health Institution of Turkey were evaluated retrospectively.

Results: Of the 164 patients included in our study, 129 were hospitalized due to influenza A and 35 due to influenza B. Procalcitonin, aspartate transaminase, alanine transaminase, creatine kinase, total bilirubin, and direct bilirubin levels were significantly higher in the influenza A group compared to the influenza B group (p=0.002, 0.005, 0.006, 0.030, 0.010, and 0.004, respectively). Ten of the patients in the study died; there was no significant difference in mortality based on influenza subtype or presence of comorbidity (p=0.999 and 0.756, respectively). Forty-one (54.7%) of the patients with comorbidities had received an influenza vaccine.

Conclusion: Although COVID-19 has dominated the global stage since the pandemic started, the effects of periodic pandemics of our old acquaintance influenza still continue. Vaccination, which is our strongest weapon against pandemics, can reduce mortality in patients with comorbidities, as seen in our study.
Loss of smell in COVID-19 patients: is it related to clinical-radiological disease severity?
Authors: BAYKAL Hüsnü , ÇELİK Deniz , BULUT Sertan , KURT Hasret Gizem , ÜLGER Ayşe Füsun
Published: July 2022

Objective: Olfactory dysfunction (OD) is one of the most prominent predictive symptoms in the early detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) disease (COVID-19), it may be the first symptom or accompany other symptoms. The predictive value of OD is unknown in terms of the overall prognosis of COVID-19. We aimed to investigate the relationship between OD and the clinical-radiological severity of the disease.

Material and Method: Data of 208 COVID-19 patients (105 inpatients and 103 outpatients) who had positive Real-Time Polymerase Chain Reaction (PCR) tests between December 1, 2020, and January 15, 2021, were collected retrospectively. Presence of OD, symptoms on admission other than OD, days of hospital stay, peripheral blood analysis values, COVID-19 disease severity [World Health Organization (WHO) 2020 “Clinical management of COVID-19”] and radiologic classifications [Radiological Society of North America Expert Consensus Statement on Reporting (RSNA) Chest CT Findings Related to COVID-19] were retrospectively collected.

Results: Analysis of 208 patients revealed that there were 105 (50.48%) inpatients and 103 (49.52%) outpatients. Among 102 patients who had OD, 68 were outpatients and 34 were inpatients. It was determined that the patients with OD were mostly followed up on an outpatient basis, and they did not need hospitalization (p