Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-uniform Feeding Network for a Dual Circularly Polarized 16×16 Ku-Band Antenna Array for On-Move Satellite Communication

This paper presents analysis and design of a dual circularly polarized 16×16 Ku band antenna array with emphasis on its feeding network. The proposed antenna is designed for on-move satellite communication system where the radiation pattern and the side-lobe level should meet the ITU standards to avoid interference with other satellite systems. This requirement is obtained by using non-uniform feeding distribution network. In addition, dual circular polarization operation requires sequential feeding networks with appropriate phase shift sequences. The proposed antenna is divided into 16 sub-cells of 4×4 radiating elements. The elements inside the sub-cell are fed by uniform dual sequential feeding networks. These sub-cells are connected together via two non-uniform feeding networks on a single layer in the shape of two interlaced fork configurations. In addition, cascaded power dividers are used to achieve the required low power division ratios between some of the sub-cells according to the required feeding distribution. These modifications simplify the fabrication process of the proposed antenna structure and reduce the required layers while satisfying the required radiation parameters. Index Terms – Antenna array, circular polarized antenna, feeding network, Ku-band antenna, satellite antenna.
The Translation of Qur’an Non-Existent Cultural Elements in Malay Culture: An Analysis on Borrowing Approach

Many translation scholars have proposed various approaches when dealing with culture-specific items. It shows that to achieve a good quality and successful translation work, suitable and functional translation approach should be applied by the translator. Borrowing is one of the approaches applied in various texts’ genre such as sacred text which has culture-specific items. It becomes frequently used in translating word with no equivalent in target language. However, it resulted in some of translations which have applied this kind of approach did not supply adequate meaning and fallout the irrelevant text towards readership. The reason is that borrowing approach stands alone without providing compensation strategies. Therefore, this present article investigates the functionality of borrowing approach in translating Qur’an non-existent cultural elements in Malay culture. This study is qualitative, and the data are analysed descriptively using document analysis by adopting Relevance Theory initiated by Sperber and Wilson (1986). It is suggested that the relevancy of translated text can be achieved not only through borrowing as an approach, but at the same time providing adequate meaning by means of compensation strategies. Thus, the study assumes that the less the effort processing is produced to understand the meaning, the higher the contextual effect of meaning is sufficiently provided. On the other hand, if the effort processing is less produced and the contextual effect is highly provided, the optimum relevancy of translated text can be achieved. It is concluded that the combination of borrowing approach and compensation strategies can help better understanding the meaning of non-existent religious cultural items in Malay culture.
What is Science ? : An Interdisciplinary Perspective

The reference to interdisciplinarity in the subtitle raises an expectation that the book would integrate insights from various fields that have scientifically studied science: history of science, cognitive psychology, sociology of science, economics, and even recent naturalistic philosophy of science. This is not the case. Jaffe almost completely dismisses any insights provided by these fields. The reasons for this are not very clear, but apparently the fact that Hegel or Wittgenstein did not have much practical experience of experimental science is a good enough reason for him. Whatever the reasons, this inattention is regrettable. For example, Jaffe's application of the evolutionary theory would have been much less clumsy if he had taken into account some recent work in philosophy of biology. Similarly, his simplistic version of Popper's falsificationism would probably have been more sophisticated, had he considered a bit more carefully how theories are actually related to experiments.
IMPLEMENTATION OF IDENTIFICATION ALGORITHM USING RECURRENT RBF NEURAL NETWORKS FOR THE INSIDE TEMPERATURE IN A GREENHOUSE

The goal of this paper is to carry out a statistical study whose objective is the identification of time series of the greenhouse climatic parameters, in order to optimize the expenditure in cost and time of the culture under greenhouse. In this study, we showed that the inside temperature is the most influential parameters on the greenhouse. However, the automatic climate control requires the development of appropriate control laws that are based on models representing linear and nonlinear system. We are therefore forced to make a study of the system to generate a model that faithfully reproduces the operating parameters of greenhouse climate. In order to achieve the maximum benefit it is important to exploit the available data and an obvious choice here are the machine learning methods such as artificial neural networks. The use of recurrent Radial Basis Function (RBF) models is justified by employing a non-linear greenhouse system, and hence to give the possibility to identify and to control in the real time the inside temperature in the greenhouse, taking into accounts other climatic parameters within and outside the green-house. A comparison of the measured and simulated data proved that the found model can envisage correctly the inside greenhouse temperature.
Evaluation of the Antibacterial Effect of Garlic and Ginger on ESBL and KPC-Producing Pseudomonas aeruginosa Strains

Background and Aim: Due to the problems caused by the formation of biofilms in industry and medicine as well as the development of drug resistance, new methods are required to inhibit resistant microorganisms, particularly in the biofilm form. The aim of the present research was to determine the effect of garlic and ginger on the biofilm formation of Pseudomonas aeruginosa. Materials and Methods: In this study, the minimum inhibitory concentration (MIC) and the minimum bactericidal concentration (MBC) of garlic and ginger extracts against Pseudomonas aeruginosa were assessed by microtiter plate method. Biofilm formation was investigated by the use of microtiter plate method and staining with crystal violets. Results: The minimum inhibitory concentrations of garlic and ginger extracts against ATCC 27853 standard strain Pseudomonas aeruginosa were 40 and 2.5 mg / ml respectively. Moreover, it was 80 and 20 mg / ml for ESBL, KPC and ESBL + KPC generating strains respectively. The mean percentages of the biofilm inhibition of Pseudomonas aeruginosa by garlic and ginger extracts were 61.98% and 66.81% respectively. Conclusion: Garlic and ginger extract might be used in different compounds to inhibit Pseudomonas aeruginosa and its biofilm formation.
Tuberculous Choroidal Granuloma in Immunocompetent South African Indians: A Case Series

How to Cite this Article: Visser L, et al. Tuberculous Choroidal Granuloma in Immunocompetent South African Indians: A Case Series. Ann Med Health Sci Res. 2021;11:1358-1361. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. Tuberculous Choroidal Granuloma in Immunocompetent South African Indians: A Case Series
Quinoa as gelling agent in a mortadella formulation

The aim of the present work was to determine the possibility of replacing soybean flour in a mortadella formulation with high levels of quinoa flour, as gelling agent, to obtain a product with the required binding effect and good level of acceptance. The investigated variables were cooking temperature (70, 75 and 80°C), cooking time (1.5, 2.0 and 2.5 h) and the replacement level of soybean flour with quinoa flour in the formulation (80, 90 and 100%). The response variables were taste, colour, smell, hardness, chewiness and gumminess as well as the overall impression of quality from a sensory evaluation on the obtained formulations. Models for each evaluated attribute were fitted. The thermo-mechanical behaviour of the quinoa flour indicated its possible use in the formulation considered from reaching the required gelling effect. The operational conditions of 80°C, 2.5 h and 86% of soybean flour replacement corresponded to the greatest acceptance of the formulation. Soybean flour replacement was the operational variable having the greatest influence. The quality of the formulated product was comparable to a commercial product.
Environmentally Friendly Hydrogel‐Based Triboelectric Nanogenerators for Versatile Energy Harvesting and Self‐Powered Sensors

Triboelectric nanogenerators (TENGs), as a promising energy harvesting technology, have been rapidly developed in recent years. However, the research based on fully flexible and environmentally friendly TENGs is still limited. Herein, for the first time, a hydrogel‐based triboelectric nanogenerator (Hydrogel‐TENG) with high flexibility, recyclability, and environmental friendliness simultaneously has been demonstrated. The standard Hydrogel‐TENG can generate a maximum output power of 2 mW at a load resistance of 10 MΩ. The tube‐shaped Hydrogel‐TENG can harvest mechanical energy from various human motions, including bending, twisting, and stretching. Furthermore, the system can serve as self‐powered sensors to detect the human motions. Additionally, the utilized Polyvinyl Alcohol hydrogel employed in this study is recyclable to benefit for fabricating the renewable TENG. The open‐circuit voltage of renewed hydrogel‐TENG can reach up to 92% of the pristine output voltage. This research will pave a potential approach for the development of flexible energy sources and self‐powered motion sensors in environmentally friendly way.
Numerical Investigation of Sensitivity of AUV Dynamic Coefficients and Added Mass to Variations in Amplitude and Frequency of Excitation

The hydrodynamic coefficients and derivatives of a AUV are very important parameters that affect its control and maneuverability. Usually, a straight-line towing test method and forced heave and pitch motion are used to derive coefficients. In this paper, we used the CFD method with the control volume approach and commercial Fluent software, the flow is simulated around a subsurface. First, simulation was performed for straight-line towing test to by comparing the results with experimental results, to selected the grid type and suitable turbulent model. To simulate forced heave and pitch motion, a udf program is written that oscillates the model with specific amplitudes and frequencies. Software output is the time-coefficients varying that is converted to dynamic coefficients by a Matlab program. The results show that the ̇ coefficient is approximately constant with variation of amplitude and oscillation frequency of the model but the , and ̇ coefficients change with frequency and amplitude to 35%. The results show all coefficients of pitch motion increased with increasing amplitude and frequency of model oscillation that the lowest increase is related to the ̇ coefficient with less than 8% variation in its absolute value. The remaining coefficients showed up to 80%.
Gaseous Thermionic Vacuum Arc(G-TVA) - : an extension of TVA (Thermionic Vacuum Arc) input materials from solid samples to gases and liquids for carbon thin film deposition

The aim of this paper is to find out the possibilities to extend the area of applications of Thermionic Vacuum Arc technology developed by our group for high quality thin fim deposition. We named this new technology Gaseous Thermionic Vacuum Arc (G-TVA). Through using a sintered filter various gaseous flows can be obtained, a process which is similar to anode evaporation under electron bombardment of anode by electrons as in the case of TVA discharge. The first step in our programme is to generate G-TVA discharges in carbon compounds like methane, acetylene, etc and to compare the obtained results with hydrogen free carbon films obtained using TVA.
Identifying Lead Users and their Insights on Social Media

Traditional lead user identification techniques are not suitable to be employed to search for lead users on social media. To address this gap, this research inspects which metrics can help with lead user identification when Big Data is involved. The research is performed as a case study from the smartphone domain based on data from a product-oriented community forum about iPhones. The proposed metrics include metrics which have and have not been previously analyzed in relationship with lead userness. The previously analyzed metrics are outdegree centrality, indegree centrality, betweenness centrality and latent-attributes. Latent-attributes metric aims to capture the degree of user’s unfulfilled needs about missing features of a product (i.e., latent attributes) experienced prior to other people. One existing and two new approaches how to extract latent attributes from unstructured text are introduced. The existing approach is based on template matching and it is not able to extract any latent attribute. The new approaches use word embeddings of Word2vec and they enable extraction of 19 latent attributes in a short time. The metrics which have not be analyzed before are domain-interest, closeness centrality, hub, authority, pagerank, votes and specification-attributes-in-time. Domain-interest and specification-attributes-in-time are newly defined metrics. Domain-interest refers to the proportion of messages about a product category of interest. Specification-attributes-in-time scores users based on a weighted frequency count of specification attributes in users’ messages. The newly suggested attribute weighting turns out not to be useful for lead user identification. With respect to the main research focus, results show that the top 100 scoring users on indegree centrality, hub, pagerank, authority, and betweenness centrality metrics contain at least 10 lead users, a satisfactory amount for a typical project with lead user involvement. Additionally, votes, closeness centrality, outdegree centrality and specification-attributes-in-time metrics contain at least 10 lead users among 150 the top scoring users. Latent-attributes and domain-interest metrics are less useful. The correlation analysis does not reveal any significant relationship between any metric and lead userness. Finally, Lead User Search Assistant (LUSA), a tool to help domain experts to manually assess the top scoring users in terms of their lead userness is built. It is proposed it can reduce lead user identification procedure to hours.
Single Channel Speech Enhancement using a Complex Spectrum Method

— Speech enhancement plays an important role in speech communication systems. Speech signal enhancement in an additive noise environment in speech recognition and speaker verification system is still a challenging task. In speech enhancement process, the spectral analysis method has more advantageous than other methods due to its simplicity and effective localization of noise components in the signal. But, this method does not analyze the phase information for efficient speech enhancement. This present work proposes a modified phase spectrum compensation method for speech enhancement in a single channel environment that analyzes both the magnitude and phase spectrum of the speech signal. The performance of the proposed method is compared with that of three conventional methods (Spectral Subtraction (SSUB), Minimum Mean Square Error (MMSE) estimator, and Phase Spectrum Compensation (PSC)) through four different objective measures: Log spectral distance (LSD), log likelihood ratio (LLR), itakura-siato (IS) measure, and short-time objective intelligibility (STOI). The experimental results show that the three objective measures (LLR, LSD, and STOI) of the proposed method gives better results over the conventional methods in four different noise Signal to Noise Ratio (SNR).
RAAE 1/2021, Regular Article, Ali et al

Research background: There is higher level of mistrust between vegetable farmers and intermediaries in vegetable market transaction in Eastern Ethiopia. This mistrust adversely affected farmers’ livelihood which largely depended on the agriculture sector. Hence understanding factors that affect trust of farmers for intermediaries is essential. Purpose of the article: The purpose of this study is to analyse the factors determining vegetable farmers trust for intermediaries using cross sectional data collected from vegetable farmers in Eastern Ethiopia. Methods: Multistage sampling was used to select 385 households for the study. The collected data were analysed using partial least square path modelling procedure. Findings and value added: The empirical results indicated that relational investment, collaborative communication, and flexibility positively influenced trust. Moreover, collaborative communication and flexibility also positively influenced relational satisfaction. However, relational investment negatively affected opportunism. Recommendation: Intermediaries should use effective communication to improve farmers trust and relational satisfaction. They should also engage in relational investment by giving assistance and advice as this could contribute to enhancement of trust and reduction of opportunism. Intermediaries need to also attract farmers by offering satisfactory price and demonstrating flexibility where it is necessary.
Developing aerobic power and capacity for combat sports athletes

This chapter describes the physiological responses associated with aerobic power and capacity of combat sports athletes from different modalities (judo, Brazilian jiu-Jitsu, wrestling, Olympic boxing, taekwondo, karate and muay-thai) during specific and non-specific situations. Moreover, we describe the most used methods for the control and monitoring of these variables. Finally, the longitudinal studies that investigated the effects of aerobic power and capacity training for combat sports athletes are descripted.
Study and Characterization of Pump Control System Tools in Mini Open Channel Water Flow Simulator

This study aims to study the characterization of the pump control system in a mini open channel water flow simulator. This pump control system aims to facilitate operators in controlling pumps based on the Internet of Thing (IoT). The sample in this study focuses on red objects, where the sample can be monitored through a recording device that has been provided, and can be made in the form of realtime graphics. The results showed that in the simulator trial, the pump control system and the recording device were in the good category. After repairs are made, the development results are in the very good category, because they produce accurate results on the pump control system. Thus, the pump control system can be used and developed for large-scale canal water flow. Keyword: control system, simulator, Internet of Thing (IoT). Received 01 July 2020 | Revised [15 July 2020] | Accepted [27 August 2020]
Network Anomaly Detection for NSL-KDD Dataset Using Deep Learning

Deep learning based intrusion detection cyber security methods gained increased popularity. The essential element to provide protection to the ICT infrastructure is the intrusion detection systems (IDSs). Intelligent solutions are necessary to control the complexity and increase in the new attack types. The intelligent system (DL/ML) has been widely used with its benefits to effectively deal with complex and great dimensional data. The IDS has various attack types like known, unknown, zero day attacks are attractive to and detected using unsupervised machine learning techniques. A novel methodology has been proposed that combines the benefits of Isolation forest (One Class) Support Vector Machine (OCSVM) with active learning method to detect threats without any prior knowledge. The NSL-KDD dataset has been used to evaluate the various DL methods with active learning method. The results show that this method performs better than other techniques. The design methodology inspires the efforts to emerging anomaly detection.
Sustainable Tourism Development in India: Perception of Tourism Business Operators about Goa Tourism

The tourism industry is considered an engine of economic growth in both developed and developing countries. The tourism industry contributes precious foreign exchange, generates employment and helps in infrastructure development and alleviation of poverty. However, the inconsiderate tourism development brings about disastrous implications on the economy, society and environment of the tourist destinations. The massive growth of tourism and the concentration of tourist activities in certain destinations imposed a perceptible strain on local society and resources. Sustainable tourism has emerged as the most comprehensive approach to achieve sustainable development and mitigate the adverse impacts of tourism. The United Nations Commission on Sustainable Development (UNCSD) urges governments to “maximize the potential of tourism for eradicating poverty by developing appropriate strategies in cooperation with all major stakeholders including the indigenous and local communities”. The World Tourism Organization (UNWTO) defines sustainable tourism as “tourism development that meets the needs of present tourists and host regions while protecting and enhancing opportunities for the future. It is envisaged as leading to management of all resources in such a way that economic, social and aesthetic needs can be fulfilled while maintaining cultural integrity, essential ecological processes and biological diversity and life support systems”. It emphasizes a balance among economic, environmental and social aspects of tourism; the need to implement sustainability principles in all segments of tourism; and global aims such as poverty reduction. Sustainable tourism takes full account of its current and future economic, social and environmental impacts and addresses the needs of visitors, industry, environment and the host communities. India has recognised tourism as an engine of inclusive socio-economic growth and development. However, the lacunae of planning and haphazard implementation of tourism plans have brought a plethora of problems and issues, which challenge the economic, social and environmental existence of destinations. The tourism plans and programmes are planned and implemented in such a way that the fruits of economic development have benefited the tourism business operators, promoters of hotels and restaurants and big Article Publication
Spike Dynamics in the Presence of Noise\ast

We study the effect of noise on dynamics of a single spike for the classical Gierer--Meinhardt model on a finite interval. When spatio-temporal noise is introduced in the equation for the activator, we derive a stochastic ODE that describes the motion of a single spike on a slow time scale. The steady state is described by a density distribution for spike positions, obtained via the corresponding Fokker--Planck PDE. For sufficiently small noise level, the spike performs random fluctuations near the center of the domain. As noise level is increased, the spike can deviate from the domain center but remains effectively ``trapped"" within a certain subinterval that includes the center. For even larger noise levels, the spike starts to undergo large excursions that eventually collide with the domain boundary and temporarily trap the spike there. By reformulating this problem in terms of mean first passage time, we derive the expected time for the spike to collide with the boundary. Several new open problems are also presented.