Miracle-dz/UniFAR-FTUs huggingface dataset:
Generalized Space-Time Super-Modulation and Its Application to Grant-Free Medium Access

In this work, Generalized Space-Time Super-Modulation (GSTSM) is introduced which enables the transmission of an additional flexible-rate and highly-reliable information stream concurrently with the conventionally transmitted symbols, without the need for increasing the corresponding packet length. This is attained by jointly exploiting the spatial and temporal dimensions of multiple-antenna systems, which enables efficient detection for conventional and additional information subchannels even in highly correlated channel conditions or AWGN channels. In the context of machine-type communications, GSTSM enables grant-free medium access without transmitting additional headers to convey each machine’s signature information. Hence, it is shown that even at an extreme case where the data packets of two users are always colliding, GSTSM offers throughput gains of up to 33% compared to the best examined header-based scheme. For the same scenario, it is shown that GSTSM based on joint multi-user detection provides throughput gains of up to $2.5\times $ compared with the case where users’ signals are detected independently. In addition, it yields over 90% improvement in achievable rates compared with the schemes that require centralized medium-access coordination. For both joint and independent signal detection schemes, it is also shown that adopting an iterative detection/decoding approach allows to further improve the throughput gains.
Evaluation of Fatty Acid Indices and Fatty Acid Content Including Trans Fat of Different Fried Food Types Using Gas-Liquid Chromatography Technique

| Nowadays, fried foods gaining a worldwide popularity although deep-frying of foods leads to many adverse changes in the food constituents and fatty acid profile. These changes make fried foods more harmful to human health upon consumption especially when frying oils are used for several cycles. In this study, fatty acid profile status of the most popular fried foods sold in street restaurants and shops was assessed using gas liquid chromatography (GLC). The examined fried food types included variable items as chicken wings, nuggets, broasted chicken, fish, shrimp, octopus, French fries, mashed potato, falafel, eggplant and onion rings. Results revealed a high saturation as well as high trans fatty acids content among the examined samples which reached to 49.55% and 5.3%, respectively. Regarding fatty acid indices, nearly all samples failed to meet the international recommended guidelines of polyunsaturated/saturated “P/S” (samples had P/S ratio from 0.16 to 0.57) and Omega-6/Omega-3 “n-6/ n-3” (ratio ranged from 22.14 up to 95.28). Local legislations should set clear limits regarding saturated fats and trans fats content in fried foods. Moreover, routine supervision of fried food restaurants and street shops should be adopted to monitor their commitments towards those legislations.
An Effective Clutter Suppression Approach Based on Null-Space Technique for the Space-Borne Multichannel in Azimuth High-Resolution and Wide-Swath SAR System

In this article, an effective clutter suppression algorithm is presented for the space-borne azimuth multiantenna high-resolution and wide-swath (HRWS) synthetic aperture radar (SAR) system, which is based on the null-space technique. First, the echo of bistatic geosynchronous-low earth orbit (GEO-LEO) azimuth multiantenna HRWS SAR-ground moving target indication (GMTI) system is utilized to deduce the coarse-focused image of moving targets and clutter, where the Chirp Fourier transform (CFT) in azimuth is involved. Then, the matrix form can be utilized to describe the coarse-focused image of the multiantenna SAR system and the corresponding covariance matrix can be estimated. After that, the null-space is constructed using the covariance matrix corresponding to clutter, where at least a redundant channel freedom is required. Since the null-space vector is orthogonal to signal-space vector, it can be used to suppress the clutter. As an equivalent phase is brought by the slant velocity, the moving targets’ echo can be preserved during clutter suppression. Then, the optimization and suboptimization vectors for clutter suppression are introduced. It is worth noting that the proposed clutter suppression algorithm is robust for the antenna mismatch, that is, the antenna mismatch in phase and the corresponding position error. Finally, the theoretical investigations are validated using some simulation experiments, where the experiments for bistatic GEO-LEO and single-platform azimuth multiantenna HRWS SAR-GMTI system are both included. In addition, the real measured single-platform azimuth multiantenna HRWS SAR data experiments are also performed.
Bank Ethical Responsibility to Compensate for Services Failure and Its Revival

Background: Unlike banking development in country, banks have not been able to satisfy customers yet. Therefore, the present study aimed at investigating banks ethical responsibility to compensate for services failure and reviving it. Method: This study is applied in purpose, exploratory in approach and mixed (qualitative-quantitative) in data analysis. In qualitative phase and in order to design a model based on grounded theory, a group of experts in banking management and services marketing (including university professors, bank CEOs and banking industry marketing counselors) selected as society and 11 have been selected through snowball sampling and until reaching theoretical saturation. In-depth-interview was research instrument in this phase and data analyzed through coding. In quantitative phase, banking industry customers in Tehran considered as statistical society and 400 of them selected through cluster sampling with equal volume as statistical sample. In quantitative phase also the research instrument was researcher-made and closed questionnaire and path analysis and SPSS and Lisrel used to analyze data. Results: 134 primary concepts extracted in this study that 51 ultimate concepts classified in 31 main categories. This results lead to designing failure procedural pattern and reviving services in Iran’s banking industry (based on paradigmatic model structure) and model hypothetical relationships tested and approved in a wide society. Conclusion: Customer satisfaction and loyalty depends on organization adherence to professional ethics and responsibility that the most important sign of an organization responsibility is organized activity to compensate for services failure and reviving it.
Entrepreneurial Motivation of Street Vendors in Seruni Beach, Bantaeng Regency

Motivation to develop a new business is required not only by self-confidence in its ability to succeed, but also by its ability to access information about entrepreneurial opportunities. This study aims to determine how the motivation to entrepreneurship street vendors in Seruni Beach, Bantaeng Regency. Data collection used through observation, interview and documentation techniques. Informants in the study were seven informants with the type of research and the approach used was a qualitative description. Data collection used through observation, interview and documentation techniques. The results showed that the motivation of the street vendors on Seruni Beach, Bantaeng Regency in terms of each indicator, starting from the entrepreneurial spirit indicator displayed by the street vendors, the results showed that there was indeed enthusiasm in a trader, an indicator of creativity whose results showed the traders had creativity, an innovative indicator whose results show that traders have innovative, risk-taking indicators of courage, the results show that traders are brave enough to take all kinds of risks in entrepreneurship.
A Frequency-Reconfigurable Wearable Textile Antenna With One-Octave Tuning Range

A reconfigurable wearable textile antenna with wide frequency tuning range is demonstrated in this work. Frequency agility is realized by adding a coplanar reconfiguration module to a planar inverted-F antenna (PIFA) constructed in textile technology. The reconfiguration module consists of a small flexible printed circuit board (PCB) which integrates a tuning circuitry with commercial snap-on buttons as electronic-to-textile connectors. Using this module equipped with a varactor diode, the frequency reconfigurability of the PIFA is investigated and optimized parametrically for maximum tuning range, exploiting a smooth transition from a quarter-wave to a half-wave patch resonant mode. A fabricated prototype demonstrates a very wide tuning range of approximately 70% (or one octave) with stable directive radiation characteristics, as predicted by simulations. The robust performance and mechanical stability of the reconfigurable antenna in various on-body and bending configurations validates the viability of the antenna tuning concept and the practicality of the proposed coplanar reconfiguration module.
Trifluoromethanesulfonic acid-based DESs as extractants and catalysts for removal of DBT from model oil

A series of deep eutectic solvents (DESs) of ChCl/XCF3SO3H (X from 1.0 to 2.0) were synthesized by stirring a mixture of choline chloride (ChCl) and trifluoromethanesulfonic acid (CF3SO3H) at room temperature. The DESs were characterized by Fourier transform infrared (FT-IR) and 1H nuclear magnetic resonance (1H NMR). The oxidative desulfurization of model oil was investigated using ChCl/1.5CF3SO3H as a catalyst and extraction agent, and H2O2 as the oxidant. Some reaction parameters such as type of DES, molar ratio of CF3SO3H and ChCl in DESs, H2O2 dose, reaction temperature, DES dose and type of sulfur compound were investigated. Under the optimum conditions, the removal rate of dibenzothiophene (DBT) and 4,6-dimethyldibenzothiophene (4,6-DMDBT) can reach up to 98.65% and 96.8%, respectively. After five recycling runs, the removal rate of DBT can still reach 97.16%.
Does Budget Deficit and Political Stability Effect Real Exchange Rate in South Asian Countries?

The study investigates the effect of political stability and budget deficit on the real exchange rate. We used a panel data set of south Asian countries, including Pakistan, China, Bangladesh and India. We applied the panel unit root test, Kaos panel Cointegration and fully modified the least square in the study to reach robustness of findings. Findings reveal that real exchange rate(RER) and political stability are positively related. It supports the argument that political stability attracts foreign investment, appreciates local currency, and leads to higher RER. However, results reveal that the budget deficit is not related to RER. This study provides new empirical evidence to policymakers and government officials that political stability encourages foreign investors and appreciates exchange rate.
Assessment of the Paradox of the Formation of Economic Systems in Different Types of Countries

The modern economic system demonstrates the inconsistency of the redistribution of gross value added (GVA) and gross domestic product (GDP) in the direction of developed consumer countries. On the basis of the system of indicators that characterize the effective socio-economic development of countries and the optimal combination of statistical methods that allow us to classify and model the factors that form such a performance of the economies of countries, the authors have established the reasons for their leading positions. The article examines the systems of models of countries with different levels of socio-economic development, their social utility and different degrees of development of institutions in each group of countries: developed and developing. The evaluation and modeling showed that the Gini coefficient, which shows the degree of social differentiation, has a high correlation with 4 indicators that characterize the efficiency of economic development (consumer confidence index, human development index, inflation index, and the share of hightech industries in the GDP of countries). The authors proved that it is social utility that should ensure the multilateral development of human potential, which, in turn, contributes to economic growth. The paper also reveals the intensity of structural changes that may occur in the structures of gross value added and the employed population in order to determine the trends of their further distribution by industry.
Farmers' knowledge level and constraints faced in the adoption of weed management technologies

of technologies; which is mainly influenced by many factors such as simplicity of the technology, relative advantages, etc. Further, after the adoption of technology, the question arises that for how many years the farmers practiced the technology. In the present work, knowledge and awareness level of farmers on weed management technologies and constraints faced in the adoption of these technologies were studied. Primary data were collected from the farmers of different parts of India selected by random sampling using detailed pre-tested interview schedule and comprising a total of 412 farmers in the sample. Awareness level of farmers on weed management including chemical method were checked using statistical methods such as descriptive statistics. Parameters explaining the awareness level of the farmers on weed management, in general and chemical weed management, in particular, were subjected to factor analysis. Varimax rotation technique was used as solution pertaining to different factors. Two factors were selected for further interpretation which explained 72.6 and 84.3% variability in the level of awareness among farmers on weed management and chemical method of weed control, respectively. Study showed that the risk associated with the use of herbicides was the major constraint for non-adoption of this technology. Further, other major constraints were lack of technical knowledge about herbicides; lack of awareness about improved weed management technologies and lack of knowledge about the precautions during spray of herbicides. ABSTRACT
GAN-GLS: Generative Lyric Steganography Based on Generative Adversarial Networks

: Steganography based on generative adversarial networks (GANs) has become a hot topic among researchers. Due to GANs being unsuitable for text fields with discrete characteristics, researchers have proposed GAN-based steganography methods that are less dependent on text. In this paper, we propose a new method of generative lyrics steganography based on GANs, called GAN-GLS. The proposed method uses the GAN model and the large-scale lyrics corpus to construct and train a lyrics generator. In this method, the GAN uses a previously generated line of a lyric as the input sentence in order to generate the next line of the lyric. Using a strategy based on the penalty mechanism in training, the GAN model generates non-repetitive and diverse lyrics. The secret information is then processed according to the data characteristics of the generated lyrics in order to hide information. Unlike other text generation-based linguistic steganographic methods, our method changes the way that multiple generated candidate items are selected as the candidate groups in order to encode the conditional probability distribution. The experimental results demonstrate that our method can generate high-quality lyrics as stego-texts. Moreover, compared with other similar methods, the proposed method achieves good performance in terms of imperceptibility, embedding rate, effectiveness, extraction success rate and security.
Retrospective Assessment of Ventilator-Associated Pneumonias due to Acinetobacter baumannii in an Oncology Hospital

Objectives: Ventilator-associated pneumonia (VAP) is associated with significant morbidity and mortality in critically ill patients and leads to increases in health-care costs. However, it is preventable, and hospitals can decrease VAP rates. This study aims to retrospectively assess VAP rates in the intensive care unit of Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital of the University of Health Sciences, with reference to Acinetobacter baumannii, one of the causative organisms. Methods: This study enrolled a total of 2277 patients hospitalized between the years of 2011 and 2015. The required data were collected by reviewing medical files of the patients through computerized hospital databases. VAP rate and ventilator utilization (VU) ratio were calculated using the United States Center for Disease Control National Healthcare Safety Network methodology. Results: Of the study patients, 302 (13.26%) were seen to have developed VAP. Among these patients, 191 (63.25%) were microbiologically diagnosed VAP caused by A. baumannii. Pooled means of VU ratio and VAP rate were 0.70 and 22.91, respectively. Conclusion: The results of this study will motivate the infection control committee of the study hospital to assess current infection control program and strategies so that high VAP rate in the study intensive care unit can be reduced to the minimum possible level.
Sulfonated aromatic copoly(ether–amide) membranes II

Several aromatic sulfonated copoly(ether–amide)s, based on the aromatic diamines 4,4′-(hexafluoroisopropylidene)bis(p-phenyleneoxy)-dianiline (HFD) and 2,4-diaminobenzensulfonic acid (DABS) and 4,4′-oxybis(benzoic acid) (OBA), were synthesized through a polycondensation reaction. The sulfonation degree was controlled by introducing different concentrations of 2,4-DABS from 40 mol% up to 80 mol%. Proton nuclear magnetic resonance validated the expected concentrations of sulfonic acid groups in the sulfonated aromatic copoly(ether–amide)s. Thermal decomposition of sulfonic groups was found to initiate at 280°C, while main chain decomposition initiates at 410°C. Proton conductivity between 30°C and 75°C was 19.0 and 45.0 mS/cm, respectively, for the copolymer with the highest concentration of sulfonic groups (–SO3H). Comparison with structurally similar sulfonated copolyamides and copoly(ether–amide)s indicates that these new sulfonated copoly(ether–amide)s based on 4,4′-OBA show improved mechanical properties, but a decrease in ion exchange capacity and proton conductivity.
One-step preparation and characterization of zinc tungstate–carbon nanoparticles with application to lithium-ion batteries

ABSTRACT Zinc tungstate–carbon nanoparticles were synthesized by a one-step hydrothermal process followed by heat treatment. X-ray diffraction results indicated that the addition of glucose prevented grain growth of zinc tungstate during the hydrothermal process and subsequent heat treatment. Transmission electron microscopy images showed that the zinc tungstate nanoparticles were coated by carbon with a thickness of 1 nm following heat treatment at 550°C and a diameter of 10 nm with a homogeneous morphology. Electrochemical measurements showed that the zinc tungstate–carbon nanoparticles reached an initial discharge capacity of 990 mAh g−1 at a current density of 50 mA. g−1. The specific capacity of the zinc tungstate-carbon nanoparticles was maintained at approximately 400 mAh g−1 after 50 cycles, exhibiting better stability than pure zinc tungstate due to the carbon coating providing high conductivity with the zinc tungstate nanoparticle.
Molecular and Immunological Study of Rotaviral Infection among Children in Anbar Governorate

Background: Rotavirus infection is considered one of the most common causes of acute gastroenteritis in children less than 5 years and may be responsible for approximately 5% of all child deaths yearly. It is very contagious virus that causes diarrhoea in most babies and young children, vomiting and fever are also common. It is transmitted by fecal-oral contact and contaminated surfaces and hands also directly from person to person also. Aim of the Study: The current study aimed to study the role of rotaviral infection among all the clinically diagnosed children with watery diarrhoea, fever and vomiting detect by RT- PCR technique as a cut off molecular diagnosis tool in detection, evaluation the role of some immunological parameters in serum of rotaviral infected children act as mediators in immune response like the level of Interleukin-6 and Interferon gamma by ELISA technique. Patients and Methods: A total of (75) stool samples obtained from children <5 years with acute gastroenteritis were randomly collected from Maternity and Children at al-Anbar governorate from October 2019 January 2020. Rotavirus and Adenovirus was detected by rapid test for stool samples and Rotavirus, Norovirus and Astrovirus detect by real-time polymerase chain reaction . 5 ml of blood sample were also obtained to investigated the level of Interleukin-6 and Interferon gamma by ELISA technique. Result: Out of 75 enrolled in this study , rapid test rotavirus positive Ag was found in 75 (100%) and 28(37.3%) was adenovirus positive Ag (as mixed infection). RT-PCR were used for detection of viral genome from the total rotavirus result was 72(96.0%) as positive, 46(61.3%), Norovirus 29(38.7%) as positive result and Astrovirus 0.0(0.0%) as negative result. From 73 cases have positive rotavirus results, Interferon gamma recorded 31(43.1%) as positive results and 19(40.4%) as negative while IL-6 recorded 21(29.2%) as positive results and 51(70.8%) as negative result.
Evaluation of the right ventricular function in dogs with brachycephalic syndrome before and after rhinoplasty

Daniel Carvalho Hainfellner1*, Mário dos Santos Filho1, Bruno Alberigi2, Alexandre José Rodrigues Bendas2, Carolina do Valle Aben Athar1, Nathalia Marques de Oliveira Lemos3, Karen Denise da Silva Macambira Barbosa3, Juliana Silva Do Carmo3, Ana Maria de Barros Soares4, Aguinaldo Francisco Mendes Junior5, Cristiano Chaves Pessoa da Veiga2, Daniel de Almeida Balthazar2 & Jonimar Pereira Paiva2 1Veterinarian, MSc, Programa de Pós-Graduação em Medicina Veterinária (PPGMV), Departamento de Medicina e Cirurgia Veterinária (DMCV), Instituto de Veterinária (IV), Universidade Federal Rural do Rio de Janeiro (UFRRJ), Seropédica, RJ, Brazil 2Veterinarian DSc, DMCV, IV, UFRRJ, Seropédica, RJ, Brazil 3Veterinarian, Resident, Programa de Residência em Medicina Veterinária Cardiologia e Doenças Respiratórias de Animais de Companhia, DMCV, IV, UFRRJ, Seropédica, RJ, Brazil 4Veterinarian DSc, Centro de Ciências Médicas, Faculdade de Veterinária, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil 5Veterinarian MSc, Programa de Pós-Graduação em Medicina Veterinária – Clínica e Reprodução Animal, UFF, Niterói, RJ, Brazil
Line loss prediction method of distribution network based on long short-term memory

Power distribution network line loss rate is an important indicator for assessing power companies, which directly affects the economic benefits of power companies. Therefore, accurate detection of line loss anomalies becomes an urgent problem for power companies to solve. In this paper, a line loss rate prediction model based on long-short term memory neural network was proposed. Anomaly detection was carried out through the line loss rate residual between the predicted line loss rate and the actual line loss rate, and a set of comparative experiments were designed. The comparative prediction algorithm included BP neural network and Radial Basis Function neural network. Simulation test was made with distribution network under the jurisdiction of a city power company, and the results showed that the prediction accuracy of long-short term memory neural networks is higher than that of other neural networks in the case of large data sets.