Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of tobacco consumption on periodontal health: A stratified analysis based on type of tobacco use

Introduction: Though the negative influence of tobacco consumption on the periodontal status of an individual is established, the magnitude of this association based on the type of tobacco used is seldom investigated. Aim: The aim of this study is to check the differences in the periodontal status of individuals based on their current tobacco consumption status and type of tobacco consumption. Materials and Methods: This study was conducted among subjects attending a teaching dental institution in Andhra Pradesh. Subjects were divided into three groups based on their current tobacco consumption status. The following parameters were recorded after examination by two calibrated investigators: number of sites with bleeding on probing; number of teeth with periodontal pockets; number of teeth with clinical attachment loss of ≥5 mm; number of teeth lost. SPSS version 20 software was used to analyze the data. Results: While current users demonstrated poor periodontal status than the former and nonusers, there was a significant difference in periodontal health between former users and nonusers in all the study parameters except the mean number of teeth lost. Among current users, the mean percentage of sites with bleeding and attachment loss >5 mm were found to be least among smokers compared to tobacco chewers and those who consume both smoke and smokeless forms of tobacco. Conclusion: The study confirms the negative influence of tobacco consumption on periodontal health and also establishes the increased destruction of clinical attachment levels among tobacco chewers compared to smokers.
The prevalence of partial edentulism and complete edentulism among adults and above population of Riyadh city in Saudi Arabia

Objectives: The present study was conducted to investigate the prevalence of complete edentulism and partial edentulism among adults and above population in Riyadh city, in relation to gender, age, and education level. Baseline information related to edentulism will help us take action to promote oral health. Methods: A cross-sectional stratified cluster study was carried out in 2018–2019 in several dental care centers across Riyadh city. A total of 618 subjects aged 35–74 years were selected through convenient sampling and information related to edentulism was gathered followed by clinical examination. Results: Of the total sample, 349 (56.5%) were males and 261 (43.5%) were females. In the overall assessment of edentulism, it was found that the majority of the subjects 426 (69%) had one or more teeth missing. Among these subjects, there was (2.6%) who were completely edentulous, which represented (1.8%) of the total sample. Conclusion: A high percentage of adult patients have missing teeth and complete edentulism was found mostly in elderly people. Frequenting a dental center had an inverse relation with edentulism.
Robust PIDA Controller Design by Cuckoo Search for Liquid-Level Control System

The three-tank (3-tank) liquid-level control system commonly exists in industries under the proportional-integral-derivative (PID) control loop. However, the proportional-integral-derivative-accelerated (PIDA) can yield better responses than the PID for higher order plant. In this paper, the robust PIDA controller design by the cuckoo search (CS) for the 3-tank liquid-level control system is proposed. Results obtained will be compared with the PID controller designed by the CS. As results, the responses of the 3-tank liquid-level controlled system with the robust PIDA controller optimally designed by the CS are better than the PID controller designed by the CS. Due to model uncertainty within ±10% of each parameter of the nominal plant model, the robust PIDA controller optimized by the CS can provide the very satisfactory responses in both time and frequency domains with robust performance and robust stability.
TELEME PRODUCTION BY PURIFIED FICIN

Fig tree latex (ficin) was stepwise purified by ion exchange chromatography on carboxymethyl (CM)-cellulose and gel filtration chromatography on Sephadex G-100, and then utilized in the production of teleme. Following ion exchange chromatography, the milk clotting to proteolytic activity ratio (MCA/PA) increased from 1.97 to 3.1 and following gel filtration, to 7.4. The purified fraction gave better chemical and sensory properties than teleme made by fig tree latex. The protein content of teleme made by fig tree latex and the purified fraction were 3.90 and 6.50%, respectively. Syneresis in teleme decreased from 95% to 85% upon purification of the proteolytic enzymes. Exclusion of proteolytic activity appears to be essential to improve the quality of teleme.
Early History of Hungarian Ballet in Virtual Reality

In this paper, we describe a system of threedimensional virtual spaces, which presents objects, facts, documents, and people connected to the beginning of Hungarian ballet, in particular to the first Hungarian prime ballerina and choreographer, Em´ılia Aranyv´ary. The venue of the visualization is the contemporary, virtually reconstructed building of the National Theater of Hungary.
EEGs as potential predictors of virtual agents’ acceptance

Over the last decade, much effort has been made to develop robots and virtual agents acting as assistants of elderly people in order to support them in their daily activities. In this context users’ acceptance of such virtual assistants is fundamental for engaging them in order to maximize the assistance’s effectiveness and users’ comfort. Therefore, improving assessment techniques for elders’ acceptance of virtual agents is necessary for understanding the impressions they arouse and determining their design accordingly. This paper is a proposition to introduce an EEG emotion detection procedure to gain further insight in implementing effective virtual agents’ acceptance.
Adversary Model for Attacks Against IEC 61850 Real-Time Communication Protocols

Adversarial models are well-established for cryptographic protocols, but distributed real-time protocols have requirements that these abstractions are not intended to cover. The IEEE/IEC 61850 standard for communication networks and systems for power utility automation in particular not only requires distributed processing, but in case of the generic object oriented substation events and sampled value (GOOSE/SV) protocols also hard real-time characteristics. This motivates the desire to include both quality of service (QoS) and explicit network topology in an adversary model based on a π-calculus process algebraic formalism based on earlier work. This allows reasoning over process states, placement of adversarial entities and communication behaviour. We demonstrate the use of our model for the simple case of a replay attack against the publish/subscribe GOOSE/SV subprotocol, showing bounds for non-detectability of such an attack.
A Game-Based Learning Approach on Robotics Visualization for Loops in Programming Concepts

With the great benefits of robotics, it is noticeable as a powerful medium of instruction in computer programming. Likewise, game-based learning (GBL) is a promoting solution for active education. This paper proposes an alternative approach that applies GBL based on Robotics Visualization for improving students’ comprehension of loop concept in the academic course. The pilot study was conducted to investigate the learning performance of university students regarding the coding practices and programming exercises through systematic activities in the new approach frame. The experiment was designed composing of a pre-test and post-test. The results from the participants represented the effectiveness of the methodology. This approach distinctly aided lesson achievements as well as progressive skill improvement. The indicated finding reflects that learners had positive responses and better well-understanding in the class; furthermore, the approach accelerated their learning proficiency.
PREPARATION OF PROTEASE FROM MIXED RUMEN MICROORGANISMS AND ITS USE FOR THE IN VITRO DETERMINATION OF THE DEGRADABILITY OF TRUE PROTEIN IN FEEDSTUFFS

Mixed rumen microorganisms present in bovine rumen fluid were extracted with butanol-acetone to provide a dry powder which retained 75–80% of the proteolytic activity of strained rumen fluid (SRF). Sixty percent of the proteolytic activity of the powder was extracted with water and concentrated on an Amicon XM-300 filter to give a protease preparation which had about 30% of the activity present in the SRF. The protease preparation was used for the determination of the rates of feed protein degradation in vitro by incubating at pH 6.8 in 0.1 M potassium phosphate buffer and measuring the rate of amino acid (and ammonia) production by the ninhydrin method. The relative degradation rates of the true proteins from feedstuffs tested were: soybean meal > fish meal > linseed meal and blood meal > canola meal > corn gluten meal. Substituting Streptomyces griseus protease for the rumen protease gave results which were very different from those obtained with the rumen enzyme. The advantages of using the rumen prote.
Machine Learning Techniques for Network Anomaly Detection: A Survey

Nowadays, distributed data processing in cloud computing has gained increasing attention from many researchers. The intense transfer of data has made the network an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. Therefore, many intrusion detection techniques have been evolving to protect cloud distributed services by detecting the different attack types on the network. Machine learning techniques have been heavily applied in intrusion detection systems with different algorithms. This paper surveys recent research advances linked to machine learning techniques. We review some representative algorithms and discuss their proprieties in detail. We compare them in terms of intrusion accuracy and detection rate using different data sets.
16 Ovulation and pregnancy rates in postpartum Bos indicus cows treated with progesterone vaginal devices and estradiol benzoate, with or without eCG and temporary weaning.

Two experiments were designed to compare the effects of eCG treatment and temporary weaning on ovulation and pregnancy rates in postpartum cows. In Experiment 1, 39 lactating multiparous crossbred Bos indicus cows, 60 to 80 d postpartum with a body condition score (BCS) between 2.0 to 2.5 out of 5 were randomly allocated to one of four treatment groups in a 2 × 2 factorial design. On Day 0, all cows received a progesterone (P4) intravaginal device (DIB; Syntex, Argentina) and 2 mg estradiol benzoate (EB) i.m. (Syntex). On Day 8, DIB devices were removed and all cows received 150 µg D(+)cloprostenol i.m. (Ciclase; Syntex) and were randomly divided to receive 400 IU eCG i.m. (Novormon 5000; Syntex) at the same time or no treatment. In addition, half of the cows in each group had their calves weaned temporarily (TW) for 56 h at the time of DIB removal; the other half remained with their calves. All cows received 1 mg EB i.m. on Day 9 and were examined every 8 h by ultrasonography from the time of DIB removal until ovulation. Data were analyzed by ANOVA and chi-square test. The diameter of the dominant follicle on Day 8 (eCG: 7.8 ± 0.5 mm vs. no eCG: 8.2 ± 0.4 mm, and TW: 7.6 ± 0.4 mm vs. no TW 8.4 ± 0.5 mm), the proportion of cows that ovulated (eCG: 12/20, 60% vs. no eCG: 9/19, 47%; and TW: 13/20, 65% vs. no TW: 8/19, 42%, and the interval to ovulation (eCG: 72.0 ± 1.4 h vs. no eCG: 75.6 ± 2.0 h, and TW: 73.8 ± 1.6 h vs. no TW: 73.0 ± 1.8 h) did not differ among groups (P > 0.05). Although there was no effect of eCG treatment or eCG by TW interaction (P > 0.3) on the size of the preovulatory follicle (eCG: 11.1 ± 0.4 mm vs. no eCG: 10.1 ± 0.6 mm), it was smaller in cows TW (9.9 ± 04 mm), compared to those not TW (11.8 ± 0.3 mm; P 8 mm, and 47.5% with follicles 0.7) by TW (TW: 141/397, 37.2% vs. no TW: 141/390, 36.1%) or the TW by eCG interaction (P > 0.7). However, pregnancy rates were higher (P < 0.05) in cows treated with eCG (154/377, 40.8%) than in those not treated with eCG (128/392, 32.6%). The use of eCG but not TW improved pregnancy rates following FTAI in postpartum Bos indicus cows. Results also suggest that the eCG-related increase in pregnancy rates may be due to the final growth rate of the ovulatory follicle.
Eye tracking based usability evaluation of the MaxWhere virtual space in a search task

The generations of the past decades are addicted to the information and the internet. The ICT devices determine their everyday lives. Several studies suggest that such tools are needed to teach these generations effectively, to make the learning process easier and quicker. The corresponding facts must be chosen, filtered and utilized from a constantly growing set of information by the students. They had to think and then Figure out the answer from these information. The ability of algorithmic thinking, the development of analytical thinking, and the promotion of thinking in the system play a key role. The involvement of 3D virtual spaces in education is investigated by more and more studies nowadays. In this article, through an example of a search task, an eye-tracking system is used to find out how much a 3D virtual space is more effective than a conventional LMS system.
A Dual Quaternion-Based Approach for Coordinate Calibration of Dual Robots in Collaborative Motion

Coordinate calibration accuracy is a prerequisite for the achievement of collaborative motion of dual robots, and visual positioning. In the case of AXB=YCZ, the associated hand-eye (X), robot-robot (Y), and tool-flange (Z) coordinate relationships need to be determined in order to provide accurate data for dual-robot manipulation. The classical independent estimations and separable solving of rotational and translational components, inevitably induce certain levels of inaccuracy and inconsistency. To this end, the work presented herein describes an efficient approach based on dual quaternion (DQ), to the calibration of the hand-eye (X), robot-robot (Y), tool-flange (Z) transformations, corresponding to the dual-robot collaborative motion. After establishing a closed-form kinematic equation for dual robots in DQ form, the calibration process is divided into two steps: 1) the hand-eye transformation (X) calibration is performed by letting the one robot with the visual sensor move freely, while keeping the other robot with the end-tool in a fixed configuration, thereby allowing the calibration result to be obtained by solving the DQ-based linear equations with the SVD algorithm; 2) the simultaneous calibration of robot-robot (Y) and tool-flange (Z) is transformed into a DQ-based equation, and the results are obtained in a similar way. A simulation analysis is carried out, accounting for the presence of noise levels and different data pairs, while calibration experiments are also conducted to verify the accuracy and efficacy of the proposed method.
Pilot Sequence Design for mmWave Cellular Systems With Relay Stations in the Presence of Blockage

Due to short wavelength and weak diffraction ability, millimeter-wave (mmWave) signals are highly susceptible to blockage, which results in significant degradation in received signal power. As a possible solution for overcoming the blockage problem in millimeter-wave communication systems, the deployment of a relay station (RS) has been considered in recent years. In this paper, we discuss the problems to be considered in a relay-assisted mmWave cellular system based on orthogonal frequency division multiplexing. We describe a frame structure and a pilot-based training method to achieve efficient RS selection during blockage. In addition, a method designed to overcome the inter-symbol interference problem caused by different symbol time offsets of pilot signals received from adjacent RSs in the relay-assisted mmWave cellular system is discussed. Then, we propose two different types of pilot sequences that allow a mobile station to distinguish among the pilot sources in multi-cell multi-relay environments: pilot signals based on the Zadoff-Chu sequence (PS1) and pilot signals based on the m-sequence (PS2). The correlation property of PS2 is derived and compared with that of PS1 and another sequence (Gold sequence). Simulations are performed using a blockage model to verify the properties, constraints, and advantages and disadvantages of the proposed pilot sequences in RS-assisted mmWave cellular systems.
Locality Preserved Joint Dictionary and Classifier Learning for Speech Emotion Recognition

This paper presents a novel approach for speech emotion recognition named multilevel locality preserving K-SVD (MLP-KSVD). The proposed MLP-KSVD is designed to use with the coupled features, which are low-level and high-level features. In this study, the spectrogram and the Mel-spectrogram are regarded as the low-level and the high-level features, respectively. Our Idea is that the acoustic information behind the low-level feature contains more implicit information than those of the high-level feature. In contrast, the high-level feature even has lower dimensions but has the relatively explicit information. To explore collaboratively the advantages of the coupled features, the concept of coupled dictionary learning is applied to construct the dictionary. To preserve the geometric structure of low-level feature signals, a locality term is incorporated into our objective function. The experimental results on the extended MHMC dataset show that the proposed method outperforms all baselines including SRC, CRC, D-KSVD, LC-KSVD, and LP-KSVD.
A 25-GHz Power Amplifier Using Three-Stage Antiphase Linearization in Bulk 65-nm CMOS Technology

This letter presents a 25-GHz power amplifier (PA) in bulk 65-nm CMOS technology. To ensure improved efficiency, the proposed PA was implemented using a three-stage antiphase linearization technique. The circuit of the three-stage antiphase linearization technique consisted of the predistortion drive stage, interstage, and the power stage. The positive-signed third-order intermodulation distortion (IMD3) is produced in the predistortion drive stage with subthreshold bias condition and is compensated with the negative-signed IMD3 divided by the interstage and power stage. Consequently, as the class burden of the power stage is reduced, the overall efficiency can be increased. The proposed CMOS PA was operated within a frequency range of 24–27 GHz. For a supply voltage of 1 V, the proposed PA achieved an average output power of 10.3 dBm, power-added efficiency (PAE) of 6.8%, and error vector magnitude (EVM) of 5.17% at 25 GHz for a 20-MHz bandwidth, 64 QAM, and 10.55-dB peak to average power ratio (PAPR) Long Term Evolution (LTE) signal. The proposed PA achieved a 32-dB peak gain, 33% peak PAE, 17.7-dBm saturated output power ( $P_{\text {sat}}$ ), and 16.3-dBm output 1-dB compression point.
Design of $2\times 2$ Microstrip Patch Antenna Array at 28 GHz for Millimeter Wave Communication

In wireless technology, the use of microstrip patch antenna (MPA) has greatly expanded due to its low cost, low profile and ease of manufacturing in the circuit boards. But in some case poor performance such as low capacity handling, narrow bandwidth, low gain limit their application. The purpose of this work is to solve such limit through designing an efficient $2\times 2$ MPA array according to 5G applications. In designing antenna, Foam is used as substrate material having substrate height $\text{Hs}=1.5$ mm and inset feeding technique used to feed the antenna. The recommended $2\times 2$ antenna array exhibited quality performance having the bandwidth, return loss, realized gain, VSWR and antenna efficiency are 4 GHz, −74 dB, 23.8 dBi, 1.01 and 99% at frequency band 28GHz respectively. After analyzing the previous works, it can be seen that the intended antenna array showed efficient performance than the previous works and covered all lacking's according to 5G applications.
On the use of ”Active Breaks” to perform Eye Exercises for more Comfortable VR Experiences

Prolonged use of virtual reality (VR) head-mounted display (HMD) systems without removing the HMD remains a challenge, due to many factors. One is the fact that the eyes of the user suffer visual fatigue caused by stereoscopic HMDs. In clinics, people with eye-fatigue symptoms or who have difficulty seeing in daily life, are recommended to perform specific exercises, such as ”Thumbmoving” for focal changes and making a ”Figure-eight” by rolling the eyeballs. These practices efficiently help the eyes rapidly recover back to a normal state. In VR, existing solutions for visual comfort include adaptation practices, or taking breaks at different times: at the beginning (prior to exposure), in between by simply removing the HMD, and post-experiment with adaptation practices or natural decay. In this work, we mainly focus on the introduction of a recovery form called ”Active Breaks”, which briefly take place in between VR sessions, and are very different from passive methods. Our first motivation for this work is to bring eye exercises into VR experiences to enhance well-being. The second objective is to virtualize and deploy those exercises into the virtual environment for the user to practice without having to remove their HMD as in other approaches. These correspond to real-world exercises (RWE) after removing the HMD, and VR exercises (VRE) while still wearing the HMD, along with a Baseline (no exercises) condition. After an evaluation of user preference on the helpfulness of the introduced exercises, a majority of subjects rated both approaches as ”Helpful” or ”Very much helpful”, and rated RWE as more preferred over VRE. In terms of support for the superiority of VRE over RWE, we did not find significant differences in terms of eye-blink rate, eye tiredness, sense of presence, or VR sickness. However, we found one significant difference for a sub-component of IPQ: the RWE condition showed significantly higher levels of General Presence compared to VRE.
Multimodal Data Value Chain (M-DVC): A Conceptual Tool to Support the Development of Multimodal Learning Analytics Solutions

Multimodal Learning Analytics (MMLA) systems, understood as those that exploit multimodal evidence of learning to better model a learning situation, have not yet spread widely in educational practice. Their inherent technical complexity, and the lack of educational stakeholder involvement in their design, are among the hypothesized reasons for the slow uptake of this emergent field. To aid in the process of stakeholder communication and systematization leading to the specification of MMLA systems, this paper proposes a Multimodal Data Value Chain (M-DVC). This conceptual tool, derived from both the field of Big Data and the needs of MMLA scenarios, has been evaluated in terms of its usefulness for stakeholders, in three authentic case studies of MMLA systems currently under development. The results of our mixed-methods evaluation highlight the usefulness of the M-DVC to elicit unspoken assumptions or unclear data processing steps in the initial stages of development. The evaluation also revealed limitations of the M-DVC in terms of the technical terminology employed, and the need for more detailed contextual information to be included. These limitations also prompt potential improvements for the M-DVC, on the path towards clearer specification and communication within the multi-disciplinary teams needed to build educationally-meaningful MMLA solutions.