Miracle-dz/UniFAR-FTUs huggingface dataset:
Morningness–Eveningness and Sociosexuality from a Life History Perspective

Many human biological processes are regulated by circadian rhythms, sometimes referred to as ‘internal clocks’. These circadian rhythms apply to hormone concentrations, brain activity, heart rate, and body temperature. In humans and many other animals, a ‘master clock’ is attuned to a 24-hour cycle, and corresponds to sleep and wakefulness. The master clock in humans operates through the action of the suprachiasmatic nucleus (SCN) in the hypothalamus (Herzog et al., 1998). Although our circadian rhythms have been selected for based on a general pattern of light and dark, environmental factors can influence circadian rhythms, and rhythms can vary between people. Morningness–eveningness – or chronotype – refers to the notion that individuals vary from one another in preferences for the timing of waking up and falling asleep, as well as for diurnal peaks in activity and performance, such that some individuals tend to be more active, both cognitively and physiologically, in the morning, whereas others tend to be more active in the evening (Randler et al., 2016). Variation in morningness–eveningness tends to occur along a continuum, and the individuals at the two extremes of this continuum are often denoted as morning-types and evening-types, or ‘early birds’ and ‘night owls’. Research has shown that approximately 40% of individuals are either morningor evening-types, with the other 60% falling into a more neutral category (Adan et al., 2012). Propensities for being a morningor an evening-type are significantly heritable (e.g., Hur, 2007; Hur et al., 1998; Vink et al., 2001) but age, sex, and environment are important as well. Children are typically morning-oriented but evening orientation tends to increase in both males and females throughout adolescence (Randler, 2011; Roenneberg et al., 2004). Sex differences in morningness–eveninness also begin to appear in adolescence, with 4
Efficient Nyberg-Rueppel type of NTRU digital signature algorithm

: Message recovery is an important property in Nyberg-Rueppel type digital signature algorithms. However, 4 the security of Nyberg-Rueppel type digital signature algorithms depends on the hard problems which might be vulnerable 5 to quantum attacks. Therefore, quantum resistant Nyberg-Rueppel type digital signature algorithms with message 6 recovery property are needed. Since NTRU-based cryptosystems are one of the best studied quantum-resistant schemes, 7 using traditional NTRU encryption scheme has several advantages on the message recovery property. 8 In this paper, we deﬁne Nyberg-Rueppel type of NTRU digital signature algorithm. It is carried out by combining 9 NTRU-based encryption and signature algorithms. In the proposed scheme, eﬃcient message recovery property is 10 achieved with the help of NTRU. Then, we compare the computational cost of our Nyberg-Rueppel type signature scheme 11 with the others in terms of the arithmetic complexity. According to the asymptotic complexity results, the proposed 12 scheme has better arithmetic complexity than Nyberg-Rueppel type schemes. We also discuss the security properties of 13 the proposed scheme by modifying attacks on Nyberg-Rueppel type algorithms and lattice-based algorithms. 14
The first Russian record of Corythucha ciliata (Say) from Krasnodar (Heteroptera: Tingidae)

cidental is, etc.). It was introduced from North America to Italy, where it has been detected in Padua in 1964. Subsequently, it spread to southern and central Europe (Stehlik, 1997), but it is still not_ reported from Moldavia and Ukraine. The bug is a good flyer, but we think it is mostly transported passively. In Germany, it lives mainly on sycamore trees planted in the cities of the towns, where the microclimate conditions are apparently favorable. In central Europe, there are no tingids on the sycamore trees of avenues outside of towns, but in south­ ern Europe they are. I was not astonished, when on l . X.1996 I saw and collected males, females and nymphs of this bug on sycamore trees in the city of Krasnodar in front of the Kuban State Univer­ sity, where they were common. One could see numerous black nymphs sitting on the lower leaves of the tree, accompanied by the white imagines with their dark bodies, and the yellow stained markings of the leaves, where the bugs have sucked. In wintertime, sometimes thou­ sands of these tingids are hidden behind the loose parts of the bark. In Karlsruhe/Gerrriany, there are known a few reports about sucking of these tingids at '
Synthesis, characterization, and antimicrobial activity of novel 2-ferrocenyl- 1,3-thiazolidin-4-thiones

Synthesis of five novel 2-ferrocenyl-1,3-thiazolidin-4-thiones has been achieved in good to excellent yields through the treatment of 2-ferrocenyl-1,3-thiazolidin-4-ones with Lawesson’s reagent. The reaction was performed by refluxing the reactants mixture in toluene overnight. All prepared compounds were characterized by the IR and NMR spectral data. Further, the obtained products were evaluated for their antibacterial and antifungal activity.
Adoption Intention of Halal Traceability System among Agro-Food SMEs

Traceability system enables agro-food small and medium enterprises (SMEs) to record the information about attributes of their products along the supply chain effectively. However, a huge concern arises among consumers regarding a violation of halal food products. Halal traceability system affirms that halalness should be retained across the supply chain. The adoption of the system in which the level of complexity is the same as the traceability system is still low despite the high usage of computers and the internet by most SMEs in Malaysia. This study aimed to determine the adoption intention level of halal traceability system among agrofood SMEs. A preliminary study was conducted on randomly selected 26 agro-food SMEs. Responses from agro-food SMEs were obtained through semi-structured interviews using a structured questionnaire. The data were analysed using several statistical analyses such as descriptive analysis, mean ranking analysis, and Chi-square analysis. The results revealed that most agro-food SMEs involved in this study (15 companies, 57.7%), were categorized as a small-sized company. Further, based on the mean ranking analysis, the results showed that agro-food SMEs have a low adoption intention of halal traceability system (mean score of 3.91). The results of Chisquare analysis revealed that there was a significant association between the size of the company and the adoption intention of halal traceability system among agro-food SMEs (p=0.073). This study concludes that more Adoption Intention of Halal Traceability System among Agro-Food SMEs Nur Aminin Muhamad2, Nitty Hirawaty Kamarulzaman1, 2*, Nolila Mohd Nawi3 1,3Faculty of Agriculture, 2Halal Products Research Institute, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia *Corresponding Author nitty@upm.edu. my
ANTIBIOFILM ACTIVITIES OF EXTRACTS OF THE MACROALGA HALIMEDA SP. FROM THE RED SEA

Marine macroalgae generally keep their surface free from fouling organisms by their antifouling defence. Antifouling activity has been attributed to the production of secondary metabolites. In the present study, antifouling performance of the macroalga Halimeda sp. , collected from the Red Sea coastal waters, was assessed using extracts prepared through various methods, including surface extraction, wet sample extraction and dried sample extraction. The solvents methanol and hexane were used to assess the effect of solvents on bioactivity. Results indicated that extracts of the macroalga inhibited growth and settlement of a biofilm-forming bacterial strain. Though the extracts prepared using different methods and solvents showed inhibitory activities, considerable variation was observed between different assays. Hexane extracts showed strong bacterial growth inhibitory activities in the spectrophotometric assay. The extract of dried algal samples also showed strong growth inhibitory activity, while the extract obtained from fresh algal samples exhibited strong antibiofilm activity. GC-MS analysis showed variations in the biochemical profile of the crude extracts prepared by different methods. In conclusion, results of the present study indicated that the potential bioactive metabolites present in the crude extracts of the marine macroalga Halimeda sp. could be used as a natural antibiofilm and as an antifouling compound.
Preliminary Study on the Perception of E-Wallets Usage by Malaysian Online Users

E-wallet is a cashless payment method performed through applications. With wider accessibility to the Internet, the usage of e-wallets has increased and is believed to continuously grow among Malaysians. This preliminary study has been conducted on Malaysian online users to explore (i) background of Malaysian e-wallet users, (ii) their level of awareness, and (iii) their preference and perception on the usage of e-wallets in daily life. The self-administered survey through Google Form has been adapted based on two different surveys conducted by previous researchers. The convenience sampling method has been used so participation in the study is voluntary. A total of 119 responses from online users were collected, which found that 74% of the respondents know and use e-wallets. Majority of the users prefer to use it to pay for food and beverages. Other than that, based on the relationship testing between the users’ int ention to continue to use an e-wallet, it depends on the benefit offered by the provider. They are likely to recommend the e-wallet platform to their relatives based on the perceived easiness factors. It is also determined by the other groups of respondents that the main reason for them not using e-wallets is due to the concerned that it will lead to transaction fraud. In conclusion, it is crucial for e-wallet providers in Malaysia to continuously improve their services by identifying and fulfilling the needs of their users to ensure their sustainability in the fintech industry.
ST. MARY’S UNIVERSITY SCHOOL OF GRADUATE STUDIES THE IMPACT OF MICROFINANCE FINANCIAL SERVICES ON THE ECONOMIC EMPOWERMENT OF WOMEN: THE CASE STUDY OF WISDOM MICRO FINANCING INSTITUTION S.C, AT WOLISO WORDA BY TAYE CHIMDESSA JUNE 2014 ADDIS ABABA, ETHIOPIA

xiv CHAPTER ONE: INTRODUCTION . 1 1.1 Background of the Study . 1 1.2 Statemnet of the Problem . 3 1.3 Basic Reaserch Question.4 1.4 Objectives of Study . 4 1.4. 1 Main Objectives . 4 1.4. 2 Specific Objectives . 4
Biotechnological advances in silkworm improvement: Current trends and future prospectus

The recent advances in Biotechnology viz., recombinant DNA techniques, genetic engineering through manipulation of desirable traits, stem cell research etc., has revolutionized research in plant and animal sciences. However, the impact of Biotechnology is yet to find a place in Sericulture owing to the fact that many industrially developed countries where Biotechnology is reaping its fruits unfortunately do not practice sericulture, this has resulted in non-attempting of biotechnological approaches in sericulture. Japan, China and India, the largest producers of natural silk in the world, have invariably made few but sincere attempts to introduce biotechnology in sericulture.
FASTScan: A Fast Mobile Image Recognition SDK with Local Database Using Convolutional Neural Network

 Abstract—Image target recognition in mobile platform use cloud to perform heavy tasks as remote processing. Despite the advantages of using cloud, there are still challenges which are related to connection and time processing delay. The time will increase on sequential search in image database especially when the image label is not included in the database. This paper will present an efficient technique for image target recognition by recognizing images using a classified local database with local processing on mobile devices to reduce server dependency. Image recognition is performed using an updated local database which has been downloaded from the server and then training standard dataset using AlexNet model based on Convolutional Neural Network (CNN) to store class name in the database. The marker image captured by the mobile camera will be used in classification model to predict the image class. The technique will be tested Food101 dataset which contains 101-kind food photos and evaluated on mobile platform, iOS and Android. Compared to MyXScan, a cloud based image recognition SDK, this technique is three times more efficient in terms of time in fetching classified data and processing locally.
Transmission Properties of Passive Optical Network using Hybrid Raman Amplifiers

Abstract We have studied transmission properties of the previously proposed passive optical network (PON) using hybrid Raman amplifiers for upgrading the existing PON. We focus on the upgrading of 10G-EPON (also XG-PON) system, which uses optical burst signals for upstream transmission. This paper discusses the transmission properties of the hybrid Raman amplifiers for burst signals. In access networks, there are many splice points and connection points. These points may reflect signal waves and may interfere with themselves, which is called a multipath interference (MPI). We also study degradation due to MPI in the hybrid Raman amplification. With the obtained results, we evaluate required reflection coefficients of splices in the previously proposed PON using hybrid Raman amplifiers.
Executive Compensation and Firm Performance in Japan: The Role of Bank-appointed Monitors

This paper examines the relations between role of bank-appointed monitors and pay-performance sensitivity in Japan. Previous studies show that pay-performance sensitivity is positive and almost same as the market-oriented system like US. However, under Japanese bank-oriented system, pay-performance sensitivity are expected to be controlled by bank-appointed monitors. Our findings in this paper are summarized as follows. First, pay-performance relations are significantly positive for 1990s. Second, the discipline mechanism of bank-appointed monitors are not well functioned in Japan for 1990s. Finally, there are differences of pay-performance relations between recessionary and recovery period and bank directors help to decrease the pay-performance sensitivity in a recessionary period and to enhance the pay-performance sensitivity is effective for loss profit only in a recovery period.
Pupils’ conceptions on the relation between intensive variables and the amount of the system

In this work we study pupils’ (12 – 15 yrs) conceptions concerning the intensive physical variables. In particular we investigate if pupils relate intensive variables with the amount of the system, which they are reffered to. The intensive variables are the density and the pressure in a liquid environment, which were investigated by two written questionnaires (for density and pressure respectively), in a sample of about 300 pupils of the Greek Gymnasium. We are interested about the consistent pupils’ views, which are formed from three similar answers in four tasks, but also for the interpretation of the formation of the inconsistent answers. Our results indicate similarities and also differences in pupils’ answers concerning the two variables, while our hypothesis is verified partly for one out of six pupils. We can distinguish three types / models of consistent reasoning in pupils’ representation, which we call “intensive”, “extensive” and “compressive” types of pupils’ views.
Dispersion of Spin-Electromagnetic Waves in Ferrite- Ferroelectric N-layered Structures

Artificial multiferroics in the form of ferrite-ferroelectric multilayered structures are considered as metamaterials that could be used for increasing functionality of the microwave devices. A theory of quasi-surface spin-electromagnetic waves (SEW) is developed for multilayered ferriteferroelectric (FF) structures consisted of several ferrite and ferroelectric layers. Spectra of SEW in the multilayered structures are numerically simulated. An influence of the different FF structure parameters on the dispersion of SEW is analyzed.
Optimum Index modulation for new generation Wireless Networks

: Index modulation (IM) techniques, which consider innovative ways to convey information compared to traditional communication systems, for next-generation wireless networks due to the attractive advantages they offer in terms of spectral and energy efficiency without increasing the hardware complexity. i.e increase data rate and save energy while being simple to implement. These modulation schemes belong to two different communication methods.The first scheme known as spatial modulation (SM), is a scheme that uses multiple antennas at the transmitter side where just one antenna is activated at a time and its index is used as means to convey information. The second is known as code-index modulation (CIM), a system that uses multiple spreading codes, where a certain code is selected and its index is used as a mechanism to ferry data. In order to evaluate the advantages and disadvantages of each technique, we compare the energy efficiency, the system complexity, and the bit error rate performance of the SM and CIM schemes.
Strategies for piecing-together Local-to-Global Markov network learning algorithms

We introduce in this work a set of strategies for improving the piecing-together step in Local-to-global Markov networks structure learning algorithms. For Markov networks, Local-to-global algorithms decompose the problem of learning a complete independence structure with n variables into n independent Markov blanket learning problems. On a second step these algorithms piece-together all the learned Markov blankets into a global structure using an \OR rule". Insu(cid:14)cient data may result in incorrect learning of Markov blankets, with con(cid:13)icts in their decision on edge inclusion when, for two variables X and Y , X is in the blanket of Y , but Y is not in the blanket of X . In such cases the \OR rule" always decides to add the edge, making mistakes when such edge does not exist. Our contribution are alternative strategies. The (cid:12)rst alternative is based on the \AND rule" which proposes to add an edge between two variables X and Y to the global structure if they mutually belongs to its respective Markov blankets. The other alternative rule is based on the probability of the edges and aims to solve an inconsistency by comparing the probability of edge existence with the probability of edge absence, and taking the more probable for deciding to add or remove such edge. At the end of the work we show that inconsistencies are an important source of errors in this algorithms, and demonstrate empirically interesting improvements in the quality of learned structures, using this new piecing-together alternatives instead of the basic \OR rule".
DETECTING CONTEXTUAL ANOMALIES IN LEXICAL REASONING MACHINES

Modern day language classification employs conceptual machine learning which relies heavily on presented learning input. Most algorithms used today to classify text (Bayes, Chi-Square, Markovian Discrimination, and others) are inherently sound and accurate, however regardless of which is used, a great deal of any algorithm's accuracy is related directly to the quality of data provided – the Garbage In, Garbage Out rule. Many text samples contain a degree of malapropos data, or “noise”. This paper outlines a statistical approach for detecting and removing these anomalies within a text sample by applying a series of machine-generated contexts to small subsets of text. The disposition of each context can then be learned to provide a medium of contrast against the disposition of the underlying data. This allows a classifier to identify material which is out of context. After removed, the remaining text provides a cleaner subset of data for classification and with a higher level of confidence.
Secure electronic voting over the World Wide Web

It has only been within the past two decades that protocols for electronic voting using modern computers have been developed. Only in recent years have any of the theories actually been actually implemented. Unlike its predecessors, E-Vox, based off of Fujioka et al., is the first implementation which is both easy to use (from the standpoint of the voter) and system independent. The voter needs only click a few buttons in what can be a single stage protocol. The entire system requires only that the voter register a name and password. It does not require voters to use a public key, or other encryption/authentication system. Thesis Supervisor: Ron Rivest Title: ES Webster Professor, Department of Electrical Engineering and Computer Science Table of
Elastic (E4C) Systems for Personal Learning Service in Smart Cloud

The learning systems constitute an interesting and realistic application area of context-aware technology and cloud computing. To add those technologies into existing e- learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. This paper proposes a new notion for smart learning system by using the concept of elastic computing in cloud computing. We suggest the elastic four smarts concept (E4C) to the cloud services so smart learning services are possible. We focus on the benefits of smart computing for e-learning solution using handle intelligently to meet user's needs through collecting user's behaviors, prospecting, building, delivering, and rendering steps. The proposed smart-learning model will show the personalized and customized learning services to be possible in various fields.
DNA interaction and biological activities of Copper(II) complexes of alkylamidio-O-methylurea

Two of copper(II)complexes,bis(1-methylamidino-O-methylurea)copper(II)chloride(1) and bis(1ethylamidino-O-methyl urea)copper(II)chloride(2)were prepared. The complexes were characterized by analytical analysis, IR and UV-Vis spectroscopy. The interaction of calf thymus DNA with copper(II) complex has been investigated by using the absorption titration method and thermal denaturation method. The experimental results showed that the mode of binding is nonintercalative.The synthesized complexes were also screened for their antibacterial activity against isolated strains of Escherichia coli, Klebsiellapneumoniae and Proteus mirabilisby using disc diffusion method. Both the complexes inhibits the bacterial growth.
Modélisation d'un Système de Reconnaissance pour l'Apprentissage Automatique de Stratégies de Dialogue Optimales

This last decade, the field of spoken dialogue systems has developed quickly. However, rapid design of dialogue strategies remains uneasy. Automatic strategy learning has been investigated and the use of Reinforcement Learning algorithms introduced by Levin and Pieraccini is now part of the state of the art in this area. Obviously, the learned strategy's worth depends on the definition of the optimization criterion used by the learning agent and on the exactness of the environment model. In this paper, we propose to introduce a model of an ASR system in the simulated environment in order to enhance the learned strategy. To do so, we brought recognition error rates and confidence levels produced by ASR systems in the optimization criterion.