Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a Planar Eleven Antenna for Optimal MIMO Performance as a Wideband Micro Base-station Antenna

A new low-profile planar Eleven antenna is designed for optimal MIMO performance as a wideband MIMO antenna for micro base-stations in future wireless communication systems. The design objective has been to optimize both the reflection coefficient at the input port of the antenna and the 1-bitstream and 2-bitstream MIMO efficiency of the antenna at the same time, in both the Rich Isotropic MultiPath (RIMP) and Random Line-of-Sight (Random-LOS) environments. The planar Eleven antenna can be operated in 2-, 4-, and 8-port modes with slight modifications. The optimization is performed using genetic algorithms. The effects of polarization deficiencies and antenna total embedded efficiency on the MIMO performance of the antenna are further studied. A prototype of the antenna has been fabricated and the design has been verified by measurements against the simulations.
Simulation and dosimetric analysis of proton and carbon ion therapy in the treatment of uveal melanoma *

Objective: The present paper addresses the dosimetric evaluation of carbon ion radiotherapy as compared with proton therapy. Materials and Methods: Computer simulations were undertaken with the Geant4 (GEometry ANd Tracking) code. An eye model discretized into voxels and implemented in the Siscodes system (computer system for dosimetry in radiation therapy) was utilized to generate and superimpose depth dose profiles and isodose curves. Different values for beam energy were adopted in the simulations of carbon ion beams, while in the simulation with proton beams irradiation line devices were included with different absorbing material thicknesses. Results: The simulations outputs were processed and integrated into the Siscodes to generate the spatial dose distribution in the eye model, considering changes in the beam entrance position. The dose rates were normalized as a function of the maximum dose for a beam at a specific entrance position, incident particle energy and number of incident carbon ions and protons. Conclusion: The described benefits together with the presented results contribute to the development of clinical applications and researches on carbon ion and proton therapy.
Information geometry of rotor Boltzmann machines

A complex-valued Hopfield neural network is a useful model for processing multilevel data. A rotor Hopfield network is an extension of a complex-valued Hopfield neural network but much more flexible. In addition, a rotor Hopfield neural network has excellent storage capacity and noise robustness characteristics. In the present work, we investigate the rotor Boltzmann machine (RoBM), a stochastic model of a rotor Hopfield neural network, through information geometry, which is a useful tool for analyzing stochastic models. We discuss RoBM through concepts of information geometry, such as the Fisher metric, parameters and potential functions. Moreover, we provide natural gradient descent learning and emalgorithms for RoBM as applications of information geometry.
MICROCREDIT PRACTICES APPLIED DO E-SUPPLY CHAIN MANAGEMENT

Mohamed Yunnus, founder of the Grameen Bank and winner of the 2006 Noble Peace Prize, introduced a new financial strategy to the world calling it MicroCredit. The practices involve loaning small amounts of money to societies’ poorest people so as to allow them to develop small scale businesses. In this research an agent architecture emulating these practices on a competitive multi agent trading platform is presented. The agent is named MicroTeam and was a contestant in the 2007 TAC SCM competition qualifying rounds. It achieved an average final result of 1.8 million with an initial loan of only 100.000 monetary units proving the applicability of the concept even among highly competitive agents such as last year’s winner. The proposed agent adaptations mainly regard introduction of credit limits and client request analysis following the developed evaluation function.
Performing Structured Improvisations with Pre-existing Generative Musical Models

The quality of outputs produced by generative models for music have seen a dramatic improvement in the last few years. However, most models perform in “offline” mode, with few restrictions on the processing time. Integrating these types of models into a live structured performance poses a challenge because of the necessity to respect the beat and harmony. In this paper we propose a framework which enables the integration of out-of-the-box models by leveraging the musician’s creativity and expertise.
Product Fit Uncertainty and Information Provision in a Distribution Channel Monic

Most consumers considering buying experience goods have some uncertainty about the fit between their tastes and features of products being offered. Information technology has given consumers the ability to conduct research online about their potential fit with products before buying, and modern sellers the ability to disseminate product information to consumers almost costlessly through the Internet. These developments have made provision of product fit information an important strategic decision for sellers. This paper investigates a seller’s incentive to provide such product fit information to consumers when it sells through intermediaries such as retailers. We also examine retailers’ incentives for providing product fit information to consumers on their own, and how they contrast with the seller’s. (
P 5 : Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization

We present P5, a web-based visualization toolkit that combines declarative visualization grammar and GPU computing for progressive data analysis and visualization. To interactively analyze and explore big data, progressive analytics and visualization methods have recently emerged. Progressive visualizations of incrementally refining results have the advantages of allowing users to steer the analysis process and make early decisions. P5 leverages declarative grammar for specifying visualization designs and exploits GPU computing to accelerate progressive data processing and rendering. The declarative specifications can be modified during progressive processing to create different visualizations for analyzing the intermediate results. To enable user interactions for progressive data analysis, P5 utilizes the GPU to automatically aggregate and index data based on declarative interaction specifications to facilitate effective interactive visualization. We demonstrate the effectiveness and usefulness of P5 through a variety of example applications and several performance benchmark tests.
Breeding unicorns: Developing trustworthy and scalable randomness beacons

Randomness beacons are services that periodically emit a random number, allowing users to agree on the same random outcome without trusting anyone: ideally, the randomness beacon is secure (cannot be influenced) and transparent (can be monitored by users). Hence, such randomness beacons can serve as an important primitive for smart contracts in a variety of contexts. In this paper we aim to bridge the gap between theory and practice of public beacon design inspired by the unicorn protocol of Lenstra and Wesolowski using verifiable delay functions. We first present a structured security analysis, based on which we design, implement, and evaluate a trustworthy and efficient randomness beacon allowing users to join at any time. We then compare different implementation and deployment options on distributed ledgers, and report on a Ethereum smart contract-based lottery using our beacon.
GC-MS ANALYSIS OF BIOACTIVE CONSTITUENTS OF MAGNOLIA NILAGIRICA ( ZENKAR ) FIGLAR . ( MAGNOLIACEAE ) AN ENDEMIC MEDICINAL PLANT TO THE WESTERN GHATS , INDIA

The present study was carried out to determine the possible bioactive components of methanolic leaf extract of Magnolia nilagirica by using GC-MS analysis. The GC-MS analysis provides different peaks determining the presence of 55 compounds were identified from the leaf extract of M. nilagirica. The main compounds in the plant extract were identified as 1Butanol, 3 – Methyl (13.25 %), 2H-Cyclohepta[b]furan-2-one (11.11 %), 5-O-Methyl-d-gluconic acid dimethylam (7.50%), Xanthanin (3.94%), 3.alpha. ,6.alpha. -Dihydroxy-5.beta. -preAllopregnane-7.alpha. ,11.alpha. -diol-3 (3.47%) and 2,5-Anhydro-1,6-Dideoxyhexo (3.29 %), 1,3-Cyclohexadiene (3.04%) 2,3-Dihydro-5Hydroxy-6-Met4H-Pyran-4-one, 2,3-dihydro-3,5-dihyd (3.04%). The presence of various bioactivecompounds confirms the application of M. nilagirica for various ailments by traditional practitioners. However, the isolation of individual phytochemical constituents may proceed to find a noval drug.
Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach

The steady growth in the number of deployed Internet of Things (IoT) devices has been paralleled with an equal growth in the number of malicious software (malware) targeting those devices. In this paper, we build a detection mechanism of IoT malware utilizing control flow graphs (CFGs). To motivate for our detection mechanism, we contrast the underlying characteristics of IoT malware to other types of malware—Android malware, which are also Linux-based—across multiple features. The preliminary analyses reveal that the Android malware have high density, strong closeness and betweenness, and a larger number of nodes. We show that IoT malware samples have a large number of edges despite a smaller number of nodes, which demonstrate a richer flow structure and higher complexity. We utilize those various characterizing features as a modality to build a highly effective deep learning-based detection model to detect IoT malware. To test our model, we use CFGs of about 6000 malware and benign IoT disassembled samples, and show a detection accuracy of $\approx 99.66$ %.
Alternate host plants of Phenacoccus manihoti ) Matile-Ferrero ( Homoptera : Pseudococcidae ) , the cassava mealybug

Thirteen alternate host plants of Phenacoccus manihoti were identified during a field survey of cassava plots in Ibadan, Nigeria. The host plants were screened in the laboratory to determine their attractiveness to P. manihot. More eggs were laid by P. manihoti on two host plants Talinum triangulare (Portulacaceae) and Ageratum conyzoides (Compositae). These two host plants were found to support all life stages of the pest. Further laboratory studies to compare P. manihoti preference to T. triangulare (water leaf), A. conyzoides (goat weed) and the primary host plant, Manihoti esculenta (cassava) showed that while pre and post-oviposition periods were similar and shorter in P. manhoti fed with T. triangulare and M. esculenta, the periods were significantly longer (P<0.05) with A. conyzoides. The larval sizes of P. manhoti on A. conyzoides were significantly smaller and developmental period significantly (P<0.05) longer than those fed with T. triangulare and M. esculenta. The total life span of P. manihoti on A. conyzoides was significantly shorter, and its mortality rate higher than those fed with T. triangulare and M. esculenta. There was similarity between the growth rates on T. triangulare (5.40) and M. esculenta (5.10) while on A. conyzoides there was a significantly lower rate (3.10). Egg laying was significantly (P<0.05) lower on A. conyzoides (140 eggs) than on T. triangulare (393) and M. esculenta (370). Of the two alternate hosts, T. triangulare is the most attractive alternate host of P. manihoti in the Ibadan area. This study shows that some weeds could harbour the pest, pending when the primary host is available. Therefore, weeds and some vegetables especially T.triangulare should not be allowed in cassava farms.
Global Corporate Governance Practices at Crossroads : Lessons for Fiji

This study examines the nature and efficacy of principle-based corporate governance initiatives in promoting better governance in the listed companies in the South Pacific Stock Exchangei. The questions are addressed: (i) whether listed companies in Fiji have complied with the principle-based governance practices, and (ii) did compliance with principle-based recommendations lead to an improvement in the listed company’s financial performance? Results show that listed companies have adopted the Capital Market Development Authority’s recommendations, and that the recommendations of board sub-committees (Audit and Remuneration) have had positive influence on company performance measured by Tobin’s Q and MB. The findings of this study give support to the principlebased corporate governance practices adopted in Fiji
Saplioglu – Kucukerdem: Estimation of missing streamflow data using ANFIS models and determination of the number of datasets for ANFIS: the case of Yeşilırmak River

Good data analysis is required for the optimal design of water resources projects. However, data are not regularly collected due to material or technical reasons, which results in incomplete-data problems. Available data and data length are of great importance to solve those problems. Various studies have been conducted on missing data treatment. This study used data from the flow observation stations on Yeşilırmak River in Turkey. In the first part of the study, models were generated and compared in order to complete missing data using Artificial Neural Network Fuzzy Inference Systems (ANFIS), multiple regression and Normal Ratio Method. Thus, it is tried to define the usability besides the other model to complete the missing data. Likewise, in the study. It is aimed to define the minimum number of data necessary for the use age of ANFIS. For this purpose in the second part of the study, the minimum number of data required for ANFIS models was determined using the optimum ANFIS model. Of all methods compared in this study, ANFIS models yielded the most accurate results. A 10-year training set was also found to be sufficient as a data set.
DIETARY SUPPLEMENTATION OF WHEAT SPROUTS EXTRACT AND OXIDATIVE STATUS OF GROWING RABBIT

The aim of this trial was to investigate the effect of ethanol Extract of Wheat Sprouts (EWS), on in vivo oxidative status and meat quality of growing rabbit . Forty New Zealand White mixed-sex rabbits were weaned at 30 days of age, divided into two homogene ous groups and fed the same standard diet with a drinking supplementation of 1.5 mL/day of EWS for 5 0 days. The wheat sprout extracts significantly improved the lipid oxidation of rabbit plasma (43.2 vs 59.5 nmol MDA/mL, respectively), whereas the oxidation level of protein was not affected. The ch olesterol concentration was lower in plasma of EWS group. The lipid and protein oxidation of Longissimus lumborum uscle of the EWS rabbits showed lower values than control. The retinol, α-tocopherol and γ−tocotrienol amount were higher in meat of EWS than control group; whereas the γ-, δ-tocopherols, and especially α-tocotrienol were lower. The antioxidant compounds of EWS can also have an effect in reducin g cholesterol in rabbit meat (47.0 vs 42.1 mg/100g) . Even the thiols content was lower in meat of EWS. T he addition of EWS to commercial diet positively influenced the rabbit health status and modified the p ytochemical profile of meat (antioxidants, cholesterol), improving its quality.
EFFECT OF ZINC AND IRON FOLIAR APPLICATION WITH TWO LEVELS OF IRRIGATION WATER ACIDITY ON THE QUANTITATIVE AND QUALITATIVE PARAMETERS OF WHEAT ( TRITICUM AESTIVUM L . )

In addition to enhancing wheat’s photosynthesis, growth and ability to cope with stress, the foliar application of zinc and iron can play an effective role in improving consumer nutrition. Therefore, the aim of this study was investigation of zinc and iron foliar application in irrigation water acidity on wheat (Triticum aestivum L.). This experiment was conducted as a triple factorial using a randomized complete blocks design with three replications in Tehran, Iran in 2014-15 and 2015-16. The treatments were two irrigation water acidity (pH value = 8.14 and 5), and the foliar application of iron and zinc sulfate (0, 2.5, and 5 g L). The results revealed that the most grain yield was produced at a pH value = 5, with 5 g L zinc application. The main cause for increasing the grain yield was enhancement of spike length, tillers and grains per plant. The greatest grain protein content was measured at a pH value = 5, with a 5 g L zinc application. The maximum grain iron content was calculated at a pH value = 5, with 5 g L zinc usage. The highest grain zinc content was obtained at a pH value = 5, with 5 g L zinc consumption. The maximum zinc utilization efficiency was observed for the iron control treatment with 5 g L zinc consumption. Therefore, the treatments that were irrigated with water with an acidic pH of 5 along with 5 g L zinc and iron foliar application had the highest yield and the best qualitative traits.
Leap Motion Sensor for Natural User Interface

: In Human Computer Interaction (HCI) research area, there is an increasing tendency to make devices as simple and as natural as possible for use. These devices are aiming to make input and output techniques, interaction, etc., easier. In the input domain, sensors monitor and interpret head, eye, face and even whole body movements. Interacting with the computer, hands are the most effective tool of general purpose, due to their functionality in communication and manipulation. Using hands as an input device is an attractive method for ensuring interaction between man and computer. This paper gives an overview of the Leap Motion devices as a technology that enables natural interaction between man and computer in NUI (natural user interface) implementation. The main idea to maximize the naturalness of the user environment and the use of hand movements is in the application of the sensor fusion of two Leap Motion devices. Applying sensor fusion of two Leap Motion devices will increase the range of hand movement and the interaction within the environment, which will again contribute to the natural user interface (NUI). The suggested method can be used offline or in real time, and can benefit from a wide range of applications, where the gesture of the hand and fingers is the focus of significance and estimation effect.
8 Migraine : Molecular Basis and Herbal Medicine

Migraine is a common and disabling brain disorder with no single characteristic which could be used for a definite diagnosis. Usually a combination of different presentations is used as diagnostic criteria which may lead to a challenging feature of underor misdiagnosis and also under-treatment. Diagnostic criteria for migraine usually emphasize on specificity compared to sensitivity which enhances their research values but reduces their clinical worth. The criteria are subjective and the lack of objective tests to confirm migraine diagnosis raises the need of rule out of other diagnoses. For this reason a potential diagnostic biomarker for migraine would certainly find wide application and may improve current severe deficiencies in migraine diagnosis.
Correlation of Electrodiagnostic and Clinical Findings in Unilateral S1 Radiculopathy

Lumbosacral radiculopathy is a challenging diagnosis, and Electrodiagnostic study (EDX) is a good complementary test for Magnetic Resonance Imaging (MRI). Physical examination, MRI and electrodiagnosis have different diagnostic values in this regard. MRI can provide anatomical evidence and is useful in choosing a treatment process, but it could also have false positive results. In this study, we assessed the correlation of clinical and electrodiagnostic findings in patients with positive MRI findings for S1 radiculopathy. EDX was performed for 87 patients referred with clinical and MRI diagnosis of S1 radiculopathy. The consistency between EDX results, MRI, and clinical findings were evaluated by Pearson chi 2 and odds ratio. Fifty-eight percent of patients had disc protrusion, and 42% had extrusion. Physical examination revealed absent Achilles reflex in 83% and decreased S1 dermatome sensation in 65%. In this study, EDX sensitivity was about 92%. The highest consistency among EDX parameters and physical examination findings was between absent H-reflex and decreased Achilles reflex (OR=6.20, P=0.014), but there was no significant consistency between H-reflex and neither muscular weakness nor SLR test result (P>0.05). There was also no relationship between type of disc herniation in MRI and H reflex. There was correlation between H-reflex abnormalities and absent ankle reflex in patients with unilateral L5-S1 disc herniation in MRI. Results of this study showed that in patients with positive MRI for L5-S1 disc protrusion and S1 nerve root compression, it is still beneficial to perform EDX for selected patients. © 2019 Tehran University of Medical Sciences. All rights reserved. Acta Med Iran 2019;57(4):229-234.
Chapter 4 p 53 and Vascular Dysfunction : MicroRNA in Endothelial Cells

In many cancer cells, p53 gene is mutated and accumulated, which is considered as a mechanistical target of tumorigenesis. The role of p53 in non-cancerous cells has been focused on, since p53 activation diversely affects as human diseases, including vascular dysfunctions. p53 regulates vascular events, including vascular inflammation and senescence as well as cardiac dysfunction. Many researchers also have paid attention to the role of noncoding RNAs (ncRNAs), especially small-sized microRNAs (miRNAs) for the last decade and their noble biological cellular functions have been discovered. miRNAs expressed in endothelial cells (endothelial miRNAs) have been shown to control vascular events. Firstly, the importance of p53 in a variety of vascular events, such as vascular inflammation and senescence, are summarized. Secondly, the way to regulate miRNAs by p53 and the involvement of miRNAs on p53 function are demonstrated. Finally, several endothelial miRNAs that have important roles are focused on. The aim of this chapter is to understand the role of p53 in vascular diseases in the view of endothelial cell biology and the contribution of miRNAs related to p53.
Developments in Ultrasonic Guided Wave Inspection Ultrasonic Guided Wave Phased Array Inspection of Coated and Buried Pipe (part 2: Experiment)

Long range guided wave inspection of pipe is becoming commonplace today in serving as an excellent screening tool. Recent concerns, however, are associated with reduced penetration power due to viscoelastic coatings and soil loading of buried pipes. This paper discusses the problem and some new approaches to improve penetration power concerns via phased array focusing, natural focusing, and frequency tuning. Experimental efforts will be presented for various coatings and soil types including property measurements, influence on axisymmetric wave propagation, and discussions on instrumentation and sensor parameters along with sample results on defect detection and sizing.
Noise Immunity of Touchscreen Devices

Dealing with noise is an important aspect of any realworld electronic system, including a touchscreen in a cell phone or tablet. While there are many sources of noise that can interfere with capacitive touch sensing, the most prominent ones originate in displays and battery chargers. This white paper explores considerations for dealing with noise issues in touchscreen design.