Miracle-dz/UniFAR-FTUs huggingface dataset:
Construct validity and reliability of empathy scale on students

The purpose of this study is to analyze the construct validity and reliability of empathy and to examine the dimensions and indicators that make up this construct. Empathy is measured by four dimensions, namely empathic concern, personal distress, fantasy and perspective taking. The population in this study were all grade VII students who were in Muhammadiyah 1 Prambanan Middle School. The sample in this study were 60 students. The sampling technique used is quota sampling. The data collection method uses empathy scale. Research data were analyzed using Structural Equation Modeling (SEM) through the SmartPLS version 3.0 program. Based on the results of data analysis, the dimensions and indicators that form the construct of empathy are declared valid and reliable. The dominant dimension that reflects the construct of empathy is empathic concern with a loading factor of 0.978. The weakest dimension reflects the empathy construct is personal distress with a loading factor of 0.908. This shows that all dimensions and indicators are able to reflect and shape the construct of empathy, thus the measurement model can be accepted because the theory that describes the construct of empathy fit with empirical data obtained from the subject.
Finite Element Analysis of Porosity Effects on Mechanical Properties for Tissue Engineering Scaffold

Porosity plays a vital role in the development of tissue engineering scaffolds. It influences the biocompatibility performance of the scaffolds by increasing cell proliferation and allowing the transportation of the nutrients, oxygen, and metabolites in the blood rapidly to generate new tissue structure. However, a high amount of porosity can reduce the mechanical properties of the scaffold. Thus, this study aims to determine the geometry of the porous structure of a scaffold which exhibits good mechanical properties while maintaining its porosity at a percentage of more than 80%. Circle and square geometries were used since they are categorized as simple geometry. A unit cell of 12mm x 12mm x 12mm for square shape and pore area of 25π mm for circle shape was modeled and simulated by using Finite Element Analysis. The simulation consists of a compression test that determines which geometry exhibits better Young’s Modulus. Since the circle geometry has better Young’s Modulus, the pore size was furthered varied while maintaining the porosity of the scaffold to be above 80%. The same method of the simulation was done on the models. The result shows that the smallest pore size model has the highest Young’s Modulus, which still able to maintain the porosity at 80%.
Identification of alternative translation initiation sites : bioinformatic analysis of mammalian 5' UTR (location prediction of start sites)

OF THE THESIS Identification of Alternative Translation Initiation Sites: Bioinformatic Analysis of Mammalian 5’ UTR (Location Prediction of Start Sites) by Thomas Michael Drudge Master of Science in Computer Science San Diego State University, 2012 Alternative Translation Initiation in mammalian mRNA at non-AUG start codons is a rare but increasingly observed phenomenon. The exact method of translation initiation is not fully understood, but significant research has indicated that primary and secondary structural information is a significant determining factor in translational efficiency. In order to provide a greater understanding of alternative non-AUG translation initiation, we examine previously identified instances of alternative translation initiation from several mammalian species. Using these previously identified instances, we provide an automated classification mechanism based on an Artificial Neural Network to aid in the further discover of new instances of alternative translation. This project provides an efficient approach for the identification and location of new alternative translation initiation sites.
Knowing is Half the Battle: How Education Decreases the Fear of Terrorism

Although only 23 people on average have been killed per year by terrorist attacks in the United States since 2001, American citizens and politicians consistently rank terrorism as a top security threat, leading to costly wars abroad and the repression of civil liberties at home. To what extent can education about terrorism alter perceptions of the threat? Much existing scholarship—and consistent polling over the past two decades—suggests that it cannot, but we disagree. Evidence gathered from an extensive series of experimental and observational surveys involving students in 31 terrorism and non-terrorism related courses at 12 universities—including massive open online courses (MOOC) and online surveys—reveals that the more individuals learn about terrorism, the smaller they perceive the threat to be to themselves and to the U.S. In the fight against terrorism and the fear it inspires, knowing really is half the battle.
Proximal Splitting Algorithms: A Tour of Recent Advances, with New Twists.

Convex optimization problems, whose solutions live in very high dimensional spaces, have become ubiquitous. To solve them, proximal splitting algorithms are particularly adequate: they consist of simple operations, by handling the terms in the objective function separately. In this overview, we present a selection of recent proximal splitting algorithms within a unified framework, which consists in applying splitting methods for monotone inclusions in primal-dual product spaces, with well-chosen metric. This allows us to derive new variants of the algorithms and to revisit existing convergence results, by extending the parameter ranges in several cases. In particular, when the smooth term in the objective function is quadratic, e.g. for least-squares problems, convergence is guaranteed with larger values of the relaxation parameter than previously known. Such larger values are usually beneficial to the convergence speed in practice.
Intention On Adoption Of Industry 4.0 Technology Among Small And Medium Enterprises

Industry 4.0 is a cutting edge technology in both small and large scale industries. The present study was conducted to investigate the level of intention to adopt Industry 4.0 Technologies among small and medium enterprises (SMEs) in Malaysia’s dairy manufacturing companies. Using structured questionnaires, a total of 114 companies, out of 156, were respondents to the study. The findings revealed that attitude, subjective norm (SN) and perceived behaviour control (PBC) of Theory of Planned Behaviour (TPB) had positive effects on intention to adopt Industry 4.0 technologies. Usage level of technology (Low, mid and high) had moderating effects where attitude in low, mid and high levels did not impact intention. SN and PBC had impacted intention in low and mid-levels but not in high level usage of technology. The findings supported the assumptions of TPB and suggested managers and higher authority of SMEs to appreciate the impact of Industry 4.0 Technologies in their management of manufacturing industry.
Developing Basic Integrated Biology Book For Students Of Tadris Ipa Faculty Of Tarbiyah And Teacher Training

To increase professionalism, good facilities and infrastructure, in this case an integrated textbook, is ultimately needed by preservice teacher to get a holistic and comprehensive understanding before they are teaching. This is in accordance with the vision and mission of UIN Sulthan Syarif Kasim Riau to integrate Islam with science and technology and art. Therefore, the researcher and basic Biology lecturers would like to develop an Integrated Biology textbook that is in accordance with the Vision and Mission of UIN SUSKA RIAU. This is a research and development (R&D) study with 56 respondents who are the users of the textbook produced. The instrument used met the alpha cronbach of 0.866. The results of the analysis of the Integrated Biology Textbook description for the Aspects of the Content Feasibility (DIDUCTIVE) was M = 3.50 and SD = 0.26 that is categorized as Very Feasible. In addition, for the aspect of Presentation Eligibility (TECHNIQUE and CONSTRUCTION), M = 3.42 and SD = 0.23 that is categorized as Very Eligible. Moreover, for the aspect of Practicity, M = 3.35 and SD = 0.32, that is categorized as Very Eligible. Furthermore, for the aspect of Islamic Science Integration Component (TEMATIC), M = 3.56 and Sd = 0.28 that is categorized as Very Eligible. Thus, it can be concluded that the integrated Biology textbook is very feasible to be used and applied in classroom. This has become a new and interesting learning material and source for it displays integrated science and Islam.
Spectral (UV and NMR) Analysis Of 4-(Dimethylamino) Benzonitrile By Density Functional Theory Calculations

the energy and oscillator strength are calculated by time-dependent density functional theory (TD-DFT) with the experimental findings for 4(Dimethylamino) benzonitrile (4DMABN). 13C and 1H NMR chemical shifts results were also compared with the experimental values. Both UV and NMR shielding values calculated using B3LYP method with 6-31+G(d,p) basis set. The calculations have been performed to NLO studies also calculated by density functional theory (DFT-B3LYP) with same basis set.
Identification of a novel gene involved in Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia

Arrhythmogenic right ventricular cardiomyopathy/dysplasia (ARVC/D) is a genetic cardiac disease inherited as an autosomal dominant trait with incomplete penetrance and variable expressivity. Its main feature is the progressive substitution of the myocardium with fatty or fibro-fatty tissue, involving predominantly the right ventricle. Clinically, ARVC/D is characterized by ventricular arrhythmias, often associated with syncope and sudden cardiac death, especially in the young and athletes. Up to now, several disease genes have been identified, including 5 encoding desmosomal proteins. In this study, mutation screening for desmosomal genes performed in 80 consecutive unrelated Italian probands failed to detect mutation in about half of index cases, thus suggesting further genetic heterogeneity. On the basis of alphaT-catenin (a protein of cardiac area composita) cellular localization and function, mutation screening was then performed in CTNNA3 candidate gene in 76 affected subjects, negative for mutations in desmosomal genes. Four mutations have been detected. In vitro functional studies assessed the pathogenicity for two of them. For the first time mutations in CTNNA3 have been detected in a human disease. Particularly, the recurrence of pathogenic mutations in CTNNA3 gene in ARVC/D patients expands the concept of this disease beyond desmosomes
Computational analysis of potato (Solanum tuberosum) transcriptomic RNA-seq data quality using CLC workbench

The CLC de novo assembler is a support system for large data sets and integrated scaffolding for joining contigs based on paired reads information. It is designed to accept a combination of data from Illumina, 454, SOLiD, Ion Torrent and Sanger sequencing as a mix of paired and unpaired reads which allows the quality analysis of SRA data from different sequencing technologies, to be exploited. In the present study, transcriptome data of three different physiological stages of potato tubers i.e. Dormant tuber (DT), Dormancy release tuber (DRT) and Sprouting tuber (ST) were studied for computational quality analysis. A total no. of 38,714,870 paired sequences of DT (ID: SRR1039535), 38,669,102 paired sequences of DRT (ID: SRR1103933) and 38,753,150 paired sequences of ST (ID: SRR1103934) were downloaded from SRA database in FastQ format. The De novo assembly resulted with 50849 (DT), 44550 (DRT) and 46254 (ST) contigs. The values for N50 and average contig length recorded 1,016(DT), 1,118 (DRT), 1,015 (ST) and 680(DT), 725(DRT), 685(ST) respectively They have been analysed for quality check with the Per-sequence analysis, Per-base and Over-representation analysis using CLC workbench which includes different categories resulting in good quality of data.
Automated Patch Transplantation

Automated program repair is an emerging area that attempts to patch software errors and vulnerabilities. In this article, we formulate and study a problem related to automated repair, namely automated patch transplantation. A patch for an error in a donor program is automatically adapted and inserted into a “similar” target program. We observe that despite standard procedures for vulnerability disclosures and publishing of patches, many un-patched occurrences remain in the wild. One of the main reasons is the fact that various implementations of the same functionality may exist and, hence, published patches need to be modified and adapted. In this article, we therefore propose and implement a workflow for transplanting patches. Our approach centers on identifying patch insertion points, as well as namespaces translation across programs via symbolic execution. Experimental results to eliminate five classes of errors highlight our ability to fix recurring vulnerabilities across various programs through transplantation. We report that in 20 of 24 fixing tasks involving eight application subjects mostly involving file processing programs, we successfully transplanted the patch and validated the transplantation through differential testing. Since the publication of patches make an un-patched implementation more vulnerable, our proposed techniques should serve a long-standing need in practice.
DNA barcoding compliments morphological identification in tomato fruit borer, Helicoverpa armigera (Hubner) (Lepidoptera: Noctuidae)

Among Heliothine group of moths viz., Helicoverpa armigera (Hubner), Helicoverpa assulta (Guenee), Heliothis peltigera (Denis & Schiffermuller) and Helicoverpa rama (Bhattacharjee and Gupta), Helicoverpa armigera, is the most serious pest infesting many economically important crops. Though, Helicoverpa infesting vegetables viz., tomato, okra, cowpea, amaranthus, cucurbits etc in Kerala, their identity at species level is lacking. Hence, the larvae collected from tomato growing area were reared, preserved and subjected to further studies. Morphological characters viz., setal arrangement on prothoracic segment and genitalia structure of both the male and female adult moths were examined. Further, DNA barcoding was carried out to reveal the identity at molecular level. Both morphological characters and DNA barcoding confirmed the identity of species as Helicoverpa armigera.
Regenerative Response of Degenerate Human Nucleus Pulposus Cells to GDF6 Stimulation

Growth differentiation factor (GDF) family members have been implicated in the development and maintenance of healthy nucleus pulposus (NP) tissue, making them promising therapeutic candidates for treatment of intervertebral disc (IVD) degeneration and associated back pain. GDF6 has been shown to promote discogenic differentiation of mesenchymal stem cells, but its effect on NP cells remains largely unknown. Our aim was to investigate GDF6 signalling in adult human NP cells derived from degenerate tissue and determine the signal transduction pathways critical for GDF6-mediated phenotypic changes and tissue homeostatic mechanisms. This study demonstrates maintained expression of GDF6 receptors in human NP and annulus fibrosus (AF) cells across a range of degeneration grades at gene and protein level. We observed an anabolic response in NP cells treated with recombinant GDF6 (increased expression of matrix and NP-phenotypic markers; increased glycosaminoglycan production; no change in catabolic enzyme expression), and identified the signalling pathways involved in these responses (SMAD1/5/8 and ERK1/2 phosphorylation, validated by blocking studies). These findings suggest that GDF6 promotes a healthy disc tissue phenotype in degenerate NP cells through SMAD-dependent and -independent (ERK1/2) mechanisms, which is important for development of GDF6 therapeutic strategies for treatment of degenerate discs.
Dimension Of Social Sensitivity In Elementary School

Social sensitivity is one of the skills that children need to have. Social sensitivity is also identified as one of the social and emotional intelligence skills. This sensitivity becomes an important spotlight in today's life because of the lower sensitivity of humans to other humans along with the times. The social sensitivity referred to in this article is the sensitivity of elementary school students regarding, acts of sexual harassment. The subjects of this study were 29 students of Class VI C who were at risk of sexual harassment. This study measures the level of sensitivity of students to acts of sexual harassment that may occur with, revealing indicators that build social sensitivity, namely fantasy, personal distress, perspective-taking, and empathy. Through this research, it can be seen that overall students in class VI C 37.9% have social sensitivity in the medium category with a total of 11 people. Students with a percentage of 31.3% with a total of 9 students are in the category of high social sensitivity.
Iot Based Robot For Mine And Trespassers Detection In Defence Field

In defence fields the army people are facing many difficulties that even cause danger to their life. Considering the security of human and to reduce human efforts, a robot is developed using Internet of Things (IoT) technology. The proposed robot has the capability to detect the buried mines and also can find the trespassers with special sensors. The robot can move in all directions with the help of wheels controlled by HBridge module. It identifies the obstacles, detects the position of obstacles, and stores the information in cloud. With the IoT concept awareness is created to the nearest person by means of an alert. The robots mobility for surveillance is a boost for the visitor to move freely in the remote areas. The hardware is designed in such a way to communicate and monitor the army camp. This IoT based wirelessly controlled robot has the practical benefits of the detecting the position of obstacles and reducing the number of causalities of army people.
An analysis of the correlation between profitability and liquidity of beverage companies in Chinese market

The relationship between profitability and liquidity is still controversial since many researchers obtain different conclusions from their studies. Besides, the Chinese market is getting more and more attention and profitability and liquidity are crucial for Chinese companies to keep operation management. Consequently, this thesis analyses the relationship between liquidity, company size, corporation growth and profitability of beverage companies in Chinese market between 2015 and 2017. Desk research can be used to getting the financial data published by the companies; the relationship was studied with the help of ratio analysis, horizontal analysis, description analysis, Pearson correlation coefficient and also a regression analysis. Surprisingly it was observed weak or insignificant positive correlation between liquidity, company size, corporation growth and profitability on the short run, contradicting the main literature. The conclusions are limited to the periods examined and the sample companies. Key words: Profitability, liquidity, Chinese beverage companies, Working capital, Current Ratio, Company Size and Corporation Growth DOI: 10.7176/RJFA/11-12-17 Publication date: June 30th 2020
Recent Developments in Instrumentation of Functional Near-Infrared Spectroscopy Systems

In the last three decades, the development and steady improvement of various optical technologies at the near-infrared region of the electromagnetic spectrum has inspired a large number of scientists around the world to design and develop functional near-infrared spectroscopy (fNIRS) systems for various medical applications. This has been driven further by the availability of new sources and detectors that support very compact and wearable system designs. In this article, we review fNIRS systems from the instrumentation point of view, discussing the associated challenges and state-of-the-art approaches. In the beginning, the fundamentals of fNIRS systems as well as light-tissue interaction at NIR are briefly introduced. After that, we present the basics of NIR systems instrumentation. Next, the recent development of continuous-wave, frequency-domain, and time-domain fNIRS systems are discussed. Finally, we provide a summary of these three modalities and an outlook into the future of fNIRS technology.
A REVIEW ON JOINT IOT AND WSN SECURITY FOR ACHIEVING THE LESS ENERGY CONSUMPTION

: Wireless Sensor Network and IoT are in great demand from the recent years, as nowadays we have seen a wide growth of wireless devices including cellular phones, laptops, mobiles, PDA’s etc. Wireless Sensor Networks consists of thousands of tiny sensor nodes. In a wireless sensor network a node is no longer useful when its battery dies, so to avoid this problem many protocols were introduced but most of the rank is given to hierarchical routing protocols. Increasingly, organizations in a variety of industries are using IoT to operate more efficiently, better understand customers to deliver enhanced customer service, improve decision-making and increase the value of the business. A thing in the internet of things can be a person with a heart monitor implant, a farm animal with a biochip transponder, an automobile that has built-in sensors to alert the driver when tire pressure is low or any other natural or man-made object that can be assigned an IP address and is able to transfer data over a network. WSN and IoT need the security mechanism which efficiently works with high security methods which provide the proper authorization of nodes in the network to avoid malicious activities and provide the better performance of the ad-hoc network. To provide the better security and energy efficiency this paper presents a joint survey on security mechanism to use energy efficiently and security features of IoT.
A Brief Survey On Underwater Wireless Sensor Network Routing Protocol For Acoustic Communications Techniques

: Internet of things a monster technology that blends the virtual with the material to offer a smarter to keeps attracting market players and increments with its limitless potential. It is a growing network of objects, devices and machines. In Internet of Things (IoT) devices the Dynamic Spectrum access plays an increasingly important role to improve the spectrum efficiency. The global IoT spectrum is confusing with countless licensed and unlicensed frequency bands and regional fragments. The cross-layer design where the boundary range among the protocol layers is violated by sharing the internal information and help layers to become aware of the changes in the others and hence provide higher quality of service to the user. This paper aims to clear the cross-layer design in IoT protocol layers and the spectrum allocation technique.
A Home Intrusion Detection System using Recycled Edge Devices and Machine Learning Algorithm

This paper proposes a home intrusion detection system that makes the best use of a retired smartphone and an existing Wi-Fi access point. On-board sensors in the smartphone mounted on an entrance door records signals upon unwanted door opening. The access point is reconfigured to serve as a home server and thus it can process sensor data to detect unauthorized access to home by an intruder. Recycling devices enables a home owner to build own security system with no cost as well as helps our society deal with millions of retired devices and waste of computing resources in already-deployed IT devices. In order to improve detection accuracy, this paper proposes a detection method that employs a machine learning algorithm and an analysis technique of time series data. To minimize energy consumption on a battery-powered smartphone, the proposed system utilizes as few sensors as possible and offloads all the computation to the home edge server. We develop a prototype and run experiments to evaluate accuracy performance of the proposed system. Results show that it can detect intrusion with probability of 95% to 100%.