Miracle-dz/UniFAR-FTUs huggingface dataset:
The More Complex the Feedback, the Better? A Study on the Design of Feedback Types in Educational Games

Educational games can facilitate teaching and learning. However, research on feedback types in educational games requires further investigation. Feedback in educational games could enhance students' learning, but it is not the more complex the feedback, the better. This study investigated the effects of different types of feedback in games on students' learning. The results indicated that when learning goals point to knowledge retention, receiving knowledge of correct response (KCR) or receiving elaborated feedback (EF) was better than receiving knowledge of results (KR). When learning goals point to knowledge transfer, receiving EF was better than receiving KCR or receiving KR, and receiving KCR was better than receiving KR. The results of this study integrate knowledge retention, knowledge transfer and learner cognitive load to inform the selection of educational game feedback types.
Tactile Sensing Systems for Tumor Characterization: A Review

This paper presents a review of Tactile Sensing Systems, with an emphasis on their application to the non-invasive characterization of tumors. Emulating the perceptual mechanism of the human skin, the Tactile Sensing Systems characterize tumors using touch sensors by quantifying the mechanical properties such as size and elasticity. The authors survey several tactile transduction methods: capacitive, piezoresistive, piezoelectric, magnetic, and optical. The advantages and disadvantages of different tactile sensors are discussed. The complex human sense of touch is emulated using tactile sensor data, novel data processing algorithms, and near real-time interpretation in a human-readable format. Tactile Sensing Systems utilize tactile sensors and other subsystems to come up with accurate mechanical properties of the touched objects. We review Elasticity Determination Systems, which are a special case of Tactile Sensing Systems. These systems are based on capacitive sensors, piezoelectric sensors, elastography, and optical tactile sensors. Then the optical Tactile Sensing System is discussed in detail; architecture, sensing principle, and algorithms to compute a risk score. Moreover, a survey of multimodal Tactile Sensing Systems, which broaden the capabilities of existing tactile sensing systems, is presented. The paper concludes with discussions and future research directions.
Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network

Hyperspectral imageclassification is one of the most important steps in HSI analysis and challenging task for hyperspectral data processing, hyperspectral image contains rich spatial and spectral information. The abundance of spectral and spatial information is helpful to improve the classification accuracy. In this article, we propose a spectral-spatial random patches network (SSRPNet), which directly regards the random patches taken from the image as the convolution kernels without any training. The spectral-spatial feature extracted by SSRPNet stacked into a high dimensional vector, which combined with shallow, deep, spectral, spatial feature. Then, the high dimensional vector is fed into graph-based learning methods for classification, which can achieve excellent classification performance by randomly selecting a subset of features from a small sample point to create a graph. Experimental results on three datasets show that the proposed method can achieve satisfactory classification results compared with closely related methods.
Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data

Machine learning techniques are shown to be effective for network attack detection systems in identifying malicious network behaviors. In the real-world environment, however, network attack traffic i soften hidden under a large amount of normal daily communication traffic. In this paper, to resolve such challenges that the large-scale data is difficult to be effectively labeled, we propose a data augmentation method based on generative adversarial networks. The features of flow-based network traffic are firstly pre-processed to fit the generative adversarial networks (GANs). Then, we enhance the original GANs by adopting Earth-Mover (EM) distance to catch the distribution of low dimensional subspace data and add an encoder structure to learn latent space representation. Compared to other data augmentation methods, our method generates data from learning data distribution rather than performing numerical calculations on existing data. We construct an imbalanced dataset based on the real-world dataset and compare it with other methods. Our method reports better performance in terms of the recall, F1-score, and AUC, which proved the effectiveness of our proposed method.
Improving Mobile User Interface Testing with Model Driven Monkey Search

Testing mobile applications often relies on tools, such as Exerciser Monkey for Android systems, that simulate user input. Exerciser Monkey, for example, generates random events (e.g., touches, gestures, navigational keys) that give developers a sense of what their application will do when deployed on real mobile phones with real users interacting with it. These tools, however, have no knowledge of the underlying applications' structures and only interact with them randomly or in a predefined manner (e.g., if developers designed scenarios, a labour-intensive task) - making them slow and poor at finding bugs.In this paper, we propose a novel control flow structure able to represent the code of Android applications, including all the interactive elements. We show that our structure can increase the effectiveness (higher coverage) and efficiency (removing duplicate/redundant tests) of the Exerciser Monkey by giving it knowledge of the test environment. We compare the interface coverage achieved by the Exerciser Monkey with our new Monkey++ using a depth first search of our control flow structure and show that while the random nature of Exerciser Monkey creates slow test suites of poor coverage, the test suite created by a depth first search is one order of magnitude faster and achieves full coverage of the user interaction elements. We believe this research will lead to a more effective and efficient Exerciser Monkey, as well as better targeted search based techniques for automated Android testing.
Study on Pharmacokinetics of Scutellarein in Rats

OBJECTIVE To establish a HPLC-ECD method for determining scutellarin in rat plasma and to study pharmacokinetics of scutellarein in rats.METHODS The analytical column was Kromasil C18(4.6 mm×250 mm,5 μm),and the mobile phase consisted of methanol:50 mmol·L-1 phosphate buffer(adjusted by phosphoric acid to pH 2.6):tetrahydrofuran(40∶60∶10). The flow rate was 1.0 mL·min-1.The potential was 100 mV. RESULTS The concentration-time curve of scutellarin (ig scutellarein 20 mg·kg-1) and the main pharmacokinetic parameters were showed in this study. The absolute bioavailability of scutellarein for oral administration was 7.0%. CONCLUSION Scutellarein is easy to absorb orally. Compared with scutellarin,the relative bioavailability is 301.8%.
The IL18 rs1946518 and PTPN22 rs2476601 polymorphisms are not associated with adult- and childhood-onset type 1 diabetes mellitus

Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by the destruction of pancreatic β-cells. Interleukins such as interleukin 18 (IL-18) and protein tyrosine phosphatase, nonreceptor type 22 (PTPN22) have been found to be associated with immune related diseases. We investigated a possible association of polymorphisms in IL-18 gene rs1946518 and PTPN22 rs2476601 with T1DM diagnosed in children (aged ≤14 years) and adults (aged ≥18 years) via a case-control study. In Euro-Brazilian children (n = 320) and adults (n = 291), patients with T1DM and healthy individuals (control) were genotyped for rs1946518 and rs2476601 using fluorescent probes (Taqman system). All groups were in the Hardy-Weinberg equilibrium. No significant differences were observed in the genotypes and allele frequencies for both polymorphisms. For the IL-18 rs1946518 A-allele, the minor allele frequencies for children, adults, healthy individuals, and T1DM were 49% (95% CI, 43.0–55.0), 47.5% (40–52), 47.9% (43–53), and 51% (45–57), respectively. For the PTPN22 rs2476601 T-allele in adults, controls and T1DM had frequencies of 7.3% (4–10) and 6.7% (4–10). In conclusion, these polymorphisms were not associated with T1DM onset in children or adults in this population.
Simultaneous Determination of Anserine and Carnosine in Chicken Meat by Hydrophilic Interaction Chromatography on an Aminopropyl Bonded Silica Gel Column

鶏肉中に含まれるイミダゾールペプチドの中で代表的なアンセリン（ANS : β-アラニル-1-メチルヒスチジン），カルノシン（CARN : β-アラニルヒスチジン）がある．これらアミノ酸の分析では誘導体化/高速液体クロマトグラフィー（HPLC）が一般的に用いられてきた．本研究では，誘導体化することなく抽出や希釈のみの簡便な操作で鶏肉中のANSとCARNを定量する方法として親水性相互作用を有するアミノプロピル基結合型シリカ固定相（NH2）を用いるHPLC法の検討を行った．溶離液にはアセトニトリルとリン酸二水素ナトリウム溶液（pH 4.5）をイソクラティック条件で用い，検出波長は210 nm，カラム温度は40℃，注入量は5 μLとした．分析の所要時間はベースラインの安定時間を含めて約18分であった．検量線の直線範囲は両者共に10～100 pmol μL－1，また10 pmol μL－1の試料に対する5回の繰り返し測定の相対標準偏差（RSD）はANSに対し1. 70％，CARNに対し1. 61％ であった．鶏のモモ肉とムネ肉を実試料として分析した結果，クロマトグラム上のANSとCARNのピークに対する妨害はなく，再現性に優れた結果が得られた．
CONSTITUTIVE RELATIONSHIP OF 7075 ALUMINUM ALLOY BASED ON MODIFIED ZERILLI-ARMSTRONG (M-ZA) MODEL

Z. Ma, H. C. Ji (E-mail: jihongchao@ncst.edu.cn), W. C. Pei, S. F. Wang, Y. G. Li. College of Mechanical Engineering, North China University of Science and Technology, Hebei, Tangshan, China The Gleeble – 3500 thermal simulation testing machine was used to perform isothermal tensile test on 7075 aluminum alloy at a deformation temperature of 300 – 450 °C and a strain rate of 0,01 – 1 s-1, and the true stress-strain curve of the alloy was obtained. Based on the true stress-strain data, the modified Zerilli-Armstrong (M-ZA) model was used to construct the constitutive model of the alloy, and the fitting accuracy of the model was analyzed.
A Modified Liquid Chromatographic Method Develpoment and Validation for Simultaneous Estimation of Lamivudine and Stavudine in Bulk and Tablet Dosage Form

In the present investigation a more accurate, precise and economically feasible reverse phase liquid chromatographic method was developed and validated for the quantification of simultaneous estimation of Lamivudine and Stavudine in pure and Marketed dosage forms. Quantification of drugs of choice was done with a C18 Kromasil Column using mobile phase of Acetonitrile and Phosphate buffer. The flow rate was adjusted to 1 ml/min and at 257 nm the column eluents were chromatographed. Both the drugs exhibit retention time at 3.3 min and 6.2 min. The established method was linear over a concentration range of 20-100 μg/ml for both the drugs. The established method proved as more reliable and reproducible with a relative standard deviation of less than 2 and have accuracy within the acceptance limits. Marketed formulation assay was determined and proved that formulation was within the percentage purity limits. The analytical method was validated in accordance with International Conference on Harmonization (ICH) and this method can be employed in the quantification of marketed tablet dosage forms also.
How Has Supranational (EU) Policy Shaped the Local in Ireland? A Case Study of South East Cork Area Development (SECAD)

Title How has supranational (EU) policy shaped the local in Ireland? A case study of South East Cork Area Development (SECAD) Author(s) Williamson, Matt Publication date 2020-10 Original citation Williamson, M. (2020) How has supranational (EU) policy shaped the local in Ireland? A case study of South East Cork Area Development (SECAD). Cork: Community-Academic Research Links, University College Cork. Type of publication Report Link to publisher's version https://www.ucc. ie/en/scishop/rr/ Access to the full text of the published version may require a subscription. Rights ©2020, Matt Williamson. Item downloaded from http://hdl.handle. net/10468/11034
To cited: Karatay E, Javadov M. Comparison of volumetric and cosmetic scoring changes after treatment of benign thyroid nodules using microwave ablation and ethanol ablation

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License. To cited: Karatay E, Javadov M. Comparison of volumetric and cosmetic scoring changes after treatment of benign thyroid nodules using microwave ablation and ethanol ablation therapy. Acta Med. Alanya 2021;5(1):87-92. doi:10.30565/medalanya.874438 *Corresponding Author: Emrah Karatay. Istanbul Kartal Dr. Lutfi Kirdar City Hospital, D-100 Güney
Cryptographically Strong Elliptic Curves of Prime Order

—The purpose of this paper is to generate crypto-graphically strong elliptic curves over prime ﬁelds F p , where p is a Mersenne prime, one of the special primes or a random prime. We search for elliptic curves which orders are also prime numbers. The cryptographically strong elliptic curves are those for which the discrete logarithm problem is computationally hard. The required mathematical conditions are formulated in terms of parameters characterizing the elliptic curves. We present an algorithm to generate such curves. Examples of elliptic curves of prime order are generated with Magma.
The application of gravity equation while accessing the environment of Pakistan-ASEAN technological trade flows

International trade, an important economic activity, has affected the human environment in varying degrees since its beginning. This research will carry out calculations and analyses on Pakistan-ASEAN bilateral and technological trade flows at a disaggregated level over 1995-2018. The current study found that medium-tech, high-tech, and lowtech trade flows, enhance economic growth in Pakistan and ASEAN, negatively impacting geographical distance by all technological trade flows. Similarly, the proportional element endowment confirms the Hecksher-Ohlin hypothesis. Yet, the perspective argues that countries with high production levels can exchange faster than their countries with lower output levels. Due to the variety in consumers‟ taste, increased similarity yields increased technological trade volumes, highest values received by medium-tech trade flow, and total bilateral trade flow. Depreciation in exchange rates showing a positive sign for total bilateral trade, low-tech trade, and hightech trade, whereas unenthusiastic in the case of medium-tech trade flow between Pakistan-ASEAN nations. Free trade agreement and WTO membership will also foster trade activities in conscientious and economic association in ecumenical. Pakistan trade patterns are different from ASEAN trade patterns, which increased the opportunity to enhance business activities.
Numerical Techniques Applied on Hydrostatic Bearing using Computational Fluid Dynamics

In hydrostatic bearing, the oil or lubricant is supplied to the required place in bearing from external source that place is the recess. The oil enters axially and leaves perpendicularly. The important task for the purpose of analysis is finding pressure distribution in the recess. The problem here is that, it is possible to find out analytical solution for one dimension, but it is not possible to find out pressure distribution in the recess for two-dimensions.
This paper is included

Many control-ﬂow integrity (CFI) solutions have been proposed to protect indirect control transfers (ICT), including C++ virtual calls. Assessing the security guarantees of these defenses is thus important but hard. In practice, for a (strong) defense, it usually requires great manual efforts to assess whether it could be bypassed, when given a speciﬁc (weak) vulnerability. Existing automated exploit generation solutions, which are proposed to assess the exploitability of vulnerabilities, have not addressed this issue yet. In this paper, we point out that a wide range of virtual call protections, which do not break the C++ ABI (application binary interface), are vulnerable to an advanced attack COOP LUS , even if the given vulnerabilities are weak. Then, we present a solution VScape to assess the effectiveness of virtual call protections against this attack. We developed a prototype of VScape, and utilized it to assess 11 CFI solutions and 14 C++ applications (including Firefox and PyQt) with known vulnerabilities. Results showed that real-world applications have a large set of exploitable virtual calls, and VScape could be utilized to generate working exploits to by-pass deployed defenses via weak vulnerabilities.
Length-weight relationship of black pomfret (Parastromateus niger) in the coastal waters of Qeshm Island, Hormozgan Province, Iran

Length-weight relationship (LWR) was estimated for 86 caught black pomfret by trawl net in Qeshm Island located in the Persian Gulf in in March 2017. The total length and total weight of the fish ranged from 15.8 to 56.2 cm and 69 to 3128 g, respectively. The mean total length and total weight were 25.08 ± 0.76 cm and 358.93 ± 52.22 g, respectively. LWR for black pomfret was W = 0.0267L 2.875 (R 2 = 0.975). The results obtained can be valuable for improvement of the technical performances related to fisheries management in the future. © 2018 Published by INIOAS
ENHANCING SERVICE ENGAGEMENT AND COLLABORATIVE DECISION MAKING THROUGH WEARABLE DEVICE ADOPTION

With the aid of IoT (Internet of Things) powered wearable sensors, it is possible to measure the pulse, blood pressure, and other body functions by the physicians in real-time. The study highlighted that use of wearable tracker eventually leads to improved health for patients through improved medical service engagement. Survey-based approach was implemented to collect primary data from 131 respondents using wearable devices. The statistics were evaluated using partial least squares-structural equation modeling (PLS-SEM) approach with smartPLS 3.0 software. The results revealed that information pervasiveness has no major effect on collaborative decision making, However, Patient-Provider interaction are found to be positively impacting collaborative decision-making. Key outcome came out to be an important finding as collaborative decisions did not exert significant impact on service engagement.
Identifying change points for linear mixed models: a solution through evolutionary algorithms

Linear Mixed Models; Change points; Evolutionary Algorithms. ABSTRACT Mathematical models are used to describe the relationship between two or more variables or features over the target population. Statistically, Simple Linear regression model has been extensively applied and the properties of their estimators are well known. However, this kind of model is not correctly applied in most cases, such as a longitudinal setting. Linear mixed models (LMMs) are useful when the measurements have been done over a specific interval of time. One of the most important assumptions, on both models, has been established as that the model holds for the whole data. In latter case, we could find one or several points which the function changes into. This proposal allows us to estimate the points where the model changes by minimizing a specific risk function or a loss function associated with the fitted model.
Testosterone Enanthate Induces Cell Death in Human Colon (HCT) and Gastric (AGS) Cancer Cells

Neda Amani1, Mehrdad Shariati1, Rahim Ahmadi2,3*, Mokhtar Mokhtari1 and Saeed Khatamsaz1 1Department of Biology, Kazerun Branch, Islamic Azad University, Kazerun, Iran. 2Department of Biology, Hamedan Branch, Islamic Azad University, Hamedan, Iran. 3Avicenna International College, Budapest, Hungary. Article Information Received 13 October 2020 Revised 24 October 2020 Accepted 20 November 2020 Available online 20 May 2021
Comparison between body mass index and mid upper arm circumference for classifying nutritional status of pregnant women: a prospective cohort study

Background: BMI is used to assess nutritional status of pregnant women however weight gain during pregnancy confounds the nutritional status later in pregnancy. Unlike weight, MUAC does not undergo significant change as the pregnancy advances. We aim to compare the changes in BMI and MUAC in pregnant women over various trimesters to assess whether change in MUAC is less compared to weight. Methods: In this prospective observations study, BMI and MUAC measurements were taken of 300 pregnant women during different trimesters. Chi-square tests were conducted to assess associations between socio-demographic indicators and nutritional status. Correlation coefficients were calculated between BMI and MUAC over three trimesters. ANOVA tests were conducted on BMI and MUAC to assess their respective mean differences over three trimesters. Results: Mean difference of 0.43 cm (3.2%) was noted in MUAC compared to 5.32 kg/m (23.14%) in BMI from first to third trimester. No significant differences were observed in mean MUACs between first and second (p=0.326) and second and third trimesters (p=0.143) but, it was significantly different between first and third trimesters (p=0.003). Significant differences were observed in mean BMIs between first and second (p=0.05), second and third (p<0.001) and first and third trimesters (p<0.001). Correlation between BMI and MUAC were positive and significant in all three trimesters. Conclusions: Positive correlations were found between BMI and MUAC. Less change was observed in MUAC than BMI over three trimesters. MUAC seems to be a reliable tool for assessing nutritional status of antenatal women.
Into the Abyss:

A real-world challenge was identified by the first author in how to create a bespoke athlete transition model for his professional rugby club. To guide the study a theoretical framework was sought to direct the data collection and analysis stages of the investigation. Established Talent Development (TD) research from other sports and TD environments is presented along with the authors’ reflections on the literature to demonstrate the iterative process of developing their own theoretical framework. The intention was to shine a light on this research process so that both students and novice researchers could better understand the considerations that underpin this process within such a study. The product of this process is presented, that is, the C.A. R.E. Transition Model, which embeds and reflects the various best practice TD influences explored and assimilated by the authors. This model will now form the basis of future research into this phenomenon.
Principal component regression analysis demonstrates the collinearity-free effect of sub estimated climatic variables on tree growth in the central Amazon

Introduction: Climatic variables show a seasonal pattern in the central Amazon, but the intra-annual variability effect on tree growth is still unclear. For variables such as relative humidity (RH) and air vapor pressure deficit (VPD), whose individual effects on tree growth can be underestimated, we hypothesize that such influences can be detected by removing the effect of collinearity between regressors. Objective: This study aimed to determine the collinearity-free effect of climatic variability on tree growth in the central Amazon. Methods: Monthly radial growth was measured in 325 trees from January 2013 to December 2017. Irradiance, air temperature, rainfall, RH, and VPD data were also recorded. Principal Component Regression was used to assess the effect of micrometeorological variability on tree growth over time. For comparison, standard Multiple Linear Regression (MLR) was also used for data analysis. Results: Tree growth increased with increasing rainfall and relative humidity, but it decreased with rising maximum VPD, irradiance, and maximum temperature. Therefore, trees grew more slowly during the dry season, when irradiance, temperature and VPD were higher. Micrometeorological variability did not affect tree growth when MLR was applied. These findings indicate that ignoring the correlation between climatic variables can lead to imprecise results. Conclusions: A novelty of this study is to demonstrate the orthogonal effect of maximum VPD and minimum relative humidity on tree growth.