Miracle-dz/UniFAR-FTUs huggingface dataset:
Bullshit Makes the Art Grow Profounder

Across four studies participants (N = 818) rated the profoundness of abstract art images accompanied with varying categories of titles, including: pseudo-profound bullshit titles (e.g., The Deaf Echo), mundane titles (e.g., Canvas 8), and no titles. Randomly generated pseudo-profound bullshit titles increased the perceived profoundness of computer generated abstract art, compared to when no titles were present (Study 1). Mundane titles did not enhance the perception of profoundness, indicating that pseudo-profound bullshit titles specifically (as opposed to titles in general) enhance the perceived profoundness of abstract art (Study 2). Furthermore, we find that these effects generalize to artist-created abstract art (Study 3). Finally, we report a large correlation between profoundness ratings for pseudo-profound bullshit and “International Art English” statements (Study 4), a mode and style of communication commonly employed by artists to discuss their work. This correlation suggests that these two independently developed communicative modes share underlying cognitive mechanisms in their interpretations. We discuss the potential for these results to be integrated into a larger, new theoretical framework of bullshit as a low-cost strategy for gaining advantages in prestige awarding domains.
KAKAO YAĞI ALTERNATİFLERİ ve FRAKSİYONE KRİSTALİZASYON YÖNTEMİ İLE KAKAO YAĞI İKAMESİ ÜRETİMİ

Cikolatanin sertlik, kirilganlik, agizda hizli ve tam erimesi, parlaklik ve raf omru gibi parametrelerinden sorumlu olan kakao yagi, cikolatadaki en pahali hammaddedir. Cikolata ve sekerleme endustrisinde kakao yagi yerine daha ekonomik olusu, yag ciceklenmesi, yag kusmasi gibi problemleri onlemesi, depolama direncini artirmasi gibi avantajlari nedeniyle kakao yagi ikameleri kullanilmaktadir. Genellikle kakao yagi esdegerleri, kakao yagi benzerleri veya kakao yagi yerini tutanlar olarak siniflandirilan kakao yagi ikameleri cesitli modifikasyon yontemleri ile uretilmektedir. Bu yontemlerin baslicalari; hidrojenasyon, interesterifikasyon (kimyasal veya enzimatik) ve fraksiyone kristalizasyondur. Hidrojenasyon ve interesterifikasyon yagin kimyasal yapisinda geri donusumsuz degisimler meydana getirirken, fraksiyonasyon farkli bilesen gruplarinin secici bir fiziksel seperasyonla ayrilmasidir. Tamamen fiziksel bir yontem olan fraksiyone kristalizasyon yontemi ile kakao yagi ikamesi uretiminde genellikle palm yagi kullanilmakta ve palm yaginda eksik olan yag asidi ve triacilgliseroller shea yagi gibi farkli bir yag ya da yaglar ile pacallama yapilarak tamamlanmaktadir.
Centimeter-class Augmentation System Utilizing Quasi-Zenith Satellite

We present a centimeter-class augmentation system utilizing the Quasi-Zenith Satellite System (QZSS). The QZSS is a Japanese satellite navigation system that broadcasts GPS interoperable signals and GPS augmentation signals from an inclined, elliptical geosynchronous orbit. Users around Japan and Oceania can make use of seamless positioning, navigation and timing services even in urban canyons and mountainous areas. As one of the augmentation signals, centimeter-class augmentation information for the main islands of Japan and its surrounding ocean area is allocated to a Japanese original experimental signal (LEX signal: 1278.75MHz) and broadcasted. The centimeter-class augmentation system estimates the individual GPS error components using the undifferenced observables by a State Space Model (SSM) and generates a State Space Representation (SSR) that is a functional and stochastic description of the state. The SSR is compressed to less than 2kbps (1695bps) to transmit as the augmentation information to users through the LEX signal. Users correct their observables with corrections calculated from the augmentation information, and perform RTK operations with the corrected observables. We carried out the stationary and mobile positioning experiments by using the augmentation information, broadcasted using the LEX signal of the first Quasi-Zenith Satellite (QZS), ‘MICHIBIKI’. The results show that the real time accuracy is less than 3cm (drms) in the horizontal direction and 6 cm (rms) in the vertical direction and Time to First Fix (TTFF) is 35 seconds.
Situation-aware Adaptive Cryptography

The matter of security is often a trade-off between protection and performance. The fact that more and more small, battery powered and computationally weak devices are connected to the Internet, makes this matter more relevant than ever. Such devices could be smart-watches, smart smoke detectors, IP Cameras, etc. While some of these devices completely lack data protection, other devices have implemented classic security schemes which are not optimized for such devices. This thesis investigates the concept of situation-aware adaptive cryptography in an IP Camera, where different security schemes can be used depending on the current situation of a device. A number of different security schemes are implemented, tested and compared to each other. From this, different protection levels are proposed not only containing classic cryptographic functions but also lightweight cryptographic schemes specialized for this new type of small devices. Different parameter measurements, relevant for assessing the situation of a device, are also implemented and compared to each other in terms of power consumption, time, and data sent. Finally, the results from these two studies are put together into a complete concept solution, implementing the full situation-aware adaptive cryptography scheme. This particular implementation can save up to 53% of the power used for encryption and sending of data, in an average use case about 26% is saved.
Object-Orientation, Abstraction, and Data Structures Using Scala

Praise for the first edition: "The well-written, comprehensive book[is] aiming to become a de facto reference for the language and its features and capabilities. The pace is appropriate for beginners; programming concepts are introduced progressively through a range of examples and then used as tools for building applications in various domains, including sophisticated data structures and algorithmsHighly recommended. Students of all levels, faculty, and professionals/practitioners. D. Papamichail, University of Miami in CHOICE Magazine Mark Lewis Introduction to the Art of Programming Using Scala was the first textbook to use Scala for introductory CS courses. Fully revised and expanded, the new edition of this popular text has been divided into two books. Object-Orientation, Abstraction, and Data Structures Using Scala, Second Edition is intended to be used as a textbook for a second or third semester course in Computer Science. The Scala programming language provides powerful constructs for expressing both object orientation and abstraction. This book provides students with these tools of object orientation to help them structure solutions to larger, more complex problems, and to expand on their knowledge of abstraction so that they can make their code more powerful and flexible. The book also illustrates key concepts through the creation of data structures, showing how data structures can be written, and the strengths and weaknesses of each one. Libraries that provide the functionality needed to do real programming are also explored in the text, including GUIs, multithreading, and networking. The book is filled with end-of-chapter projects and exercises, and the authors have also posted a number of different supplements on the book website. Video lectures for each chapter in the book are also available on YouTube. The videos show construction of code from the ground up and this type of "live coding" is invaluable for learning to program, as it allows students into the mind of a more experienced programmer, where they can see the thought processes associated with the development of the code. About the Authors Mark Lewis is an Associate Professor at Trinity University. He teaches a number of different courses, spanning from first semester introductory courses to advanced seminars. His research interests included simulations and modeling, programming languages, and numerical modeling of rings around planets with nearby moons. Lisa Lacher is an Assistant Professor at the University of Houston, Clear Lake with over 25 years of professional software development experience. She teaches a number of different courses spanning from first semester introductory courses to graduate level courses. Her research interests include Computer Science Education, Agile Software Development, Human Computer Interaction and Usability Engineering, as well as Measurement and Empirical Software Engineering.
Generating Pseudo-Skill Tags by Extension of Deep Knowledge Tracing

Recent progress of EdTech raise attention on the research of the Knowledge Tracing(KT), which tries to estimate the knowledge-level of students by learning log data. On this context, the method so called Deep Knowledge Tracing (DKT), which leverage deep neural network to estimate students’ knowledge-level, shows remarkable performances; however, most of existing KT methods, including DKT, requires skill tags that shows what skill is required to solve a question, and it harms the applicability of KT to real world data, which often not organized by skill tags. In this paper, we extend the DKT model to generate pseudo-skill tags inside the model by enforcing the weight matrix of first layer could be regarded as translation matrix from questions to skills. This paper empirically validate the efficacy of the proposed extension using public two datasets, ASSISTments 2009-2010 and Bridge to Algebra 2006-2007. The results shows our extension gives almost similar or slightly higher performance compared with original DKT model without requiring any pre-defined skill tags. We also analyze the property of generated pseudo-skill tags with statistics and network analysis, and found that they have more hierarchical and information-efficient structure than the pre-defined skill tags.
Physical and sensorial characteristics of avocado spread added with different types of food hydrocolloids

Avocado spread is an alternative condiment for a healthy consumption due to the abundance of unsaturated fatty acids in the avocado flesh. The avocado spread mixed with food hydrocolloids (guar gum, inulin, carboxymethyl cellulose) at 3% (w/w) was studied on rheology, texture, colour and sensory evaluation in comparison with no hydrocolloid addition. For the flow analysis, all spread formulations are the non-Newtonian shear thinning fluids. Addition of food hydrocolloids increased the viscosity, oscillation stability, and heat resistance. Inclusion guar gum with the fruit spread strongly affected the hardness and work of shear. The avocado spread added with inulin showed higher greenness than the other treatments. Among the spread samples containing 3% carboxymethyl cellulose secured the highest score for spreadability, colour, flavour, taste, and overall acceptability. Keywords—Avocado spread; food hydrocolloids; rheology and texture; colour; sensory
A Quick Test Method Based On Requirements Traceability Matrix

This paper presents a requirement traceability matrix model, which can help to achieve rapid regression test. By combines rapid filtering test case and automated execution case functions to validate effective test performance. Introduction Before the software product formal commission, it usually need to go through multiple versions of iterations, and after the product on-line also need to constantly maintain management. This process has a large proportion of the test, especially when the test case base is larger, the repetitive execution of unfiltered test case sets will consume more time and cost. Therefore, to improve the efficiency of regression testing [1] and maintenance is the problem for all software development enterprises. This paper presents a requirement traceability matrix model, which can be used to quickly filter test cases. Finally, a test management platform based on the requirement traceability matrix model [2] is presented, the platform combines rapid filtering test case and automated execution case functions to validate effective test performance. Requirements Traceability Matrix Model Requirements Traceability Relationship The software requirements specification is one of the most important software process products, and is the baseline for software system compliance. When the requirements specification is extracted and tailored to a specific system requirement, the system requirements can be associated with the software process products by the way of a retrospective relationship [3-4] , and system requirements also have a horizontal correlation between each other. A plurality of system requirements and traceability chain together to form the requirement traceability matrix, refer with Fig. 1. Requirement Traceability Chain Of Requirement Customer Original Requirements Software Requirements Specification(System Requirements) Test requirements Test Case Test Execution Package Defect
Practical Troubles Appear on Computer Architecture on the Interface User (Desktop) Operations

This paper describes the troubles and problems appear by indication of what are occurring on the Graphic User Interface (GUI). Any operation happen indication for system case and the Architectural case for the users. During use operations and the usual programs are used speed and response could see the global case of machine system. Every peripheral storage device (main or secondary) also could be indication for system state need troubleshooting or not. Opening and closing some programs and type of operation could check what is problem and trouble what is. Practical operations in a network or not could appear the irregularity of this proposal. The Used Methodology is checking operations users use like storage, inputting and outputting, data transferring, doing equations and connect the peripherals devices. These operations are done with considering global computer system case and another conditions regard system controlling of other units.
Flexible Spatial Resolution for Preshaping with a Modular Capacitive Tactile Proximity Sensor

In this work we integrate a novel capacitive tactile proximity sensor into a 2-jaw-gripper. We show that its capability for a flexible spatial resolution enables closedloop control techniques for preshaping the gripper in 6D to an object. Additionally, we show that the sensor shows good performance in a self- and mutual-capacitive configurations, meaning it can detect conducting as well as non-conducting materials.
Security Issues and Solutions in Multicast Environment through Tree based Scheme

: Multicast is the delivery of a message or information to a group of destination computers simultaneously in a single transmission from the source creating copies automatically in other network elements, such as routers, only when the topology of the network requires it. Multicasting security is hard because of Open group membership, everyone gets same packets, Senders need not be members. We first present taxonomy of multicast scenarios on the Internet and point out relevant security concerns. Next we address two major security problems of multicast communication: source authentication, and key revocation. Maintaining authenticity in multicast protocols is a much more complex problem than for unicast, in particular known solutions are prohibitively inefficient in many cases. We present a solution that is reasonable for a range of scenarios. Our approach can be regarded as a midpoint between traditional Message Authentication Codes and digital signatures. We also present an improved solution to the key revocation problem.
The method of transforming algorithms’ graphs for tasks mapping in the dynamically reconfigurable computer systems

This article is dedicated to resolves the problem of reducing time overheads of task mapping process on dynamically reconfigurable computing structure in the reconfigurable computer systems based on FPGA. The proposed mathematical models for the basic stages of the data processing take into account the influence of the configuration data loading delay on the efficient of the reconfigurable computation. Based on these models we propose the method of transforming algorithms’ graphs for tasks adaptive mapping in the dynamic reconfigurable computer systems. Simulation of the proposed means showed that the proposed approach allows reducing time overheads and improving the efficiency of reconfigurable computing for resolving tasks with frequent repetitions of the same type of functions.
An Investigation of the Potential Benefits and Challenges of Business Intelligence Adoption in the Retail Sector in Gweru, Zimbabwe

The research explores the business intelligence tools that are being utilised by retailers in Gweru in a bid to find the extent of business intelligence (BI) adoption in this sector through comparison with other business intelligence models and frameworks. It further finds the benefits and challenges of adopting business intelligence in the retail sector. The information was collected using questionnaires, interviews and observations. The research findings revealed that there is no integration of data sources used by the current BI tools in the retail sector. Most of the external and internal data sources for business intelligence are being underutilized and there is no adoption of Enterprise Resource Planning (ERP) systems. The research recommends the following to the retail sector organizations in Gweru: adoption of ERP systems, adequate budgets for infrastructure and networking equipment, training of staff, and integration of data sources for BI systems and adoption of integrated BI tools amongst others to circumvent most of the challenges of BI adoption in the retail sector of Gweru.
UTILIZATION OF FLAVOR NETWORK ANALYSIS FOR A NEW RECIPE IN MARMARA REGION

Dogal lezzet bilesikleri gida malzemelerine karakteristik tat ve koku ozelliklerini vermektedir. Gida eslestirme teorisine gore, yuksek sayida ortak lezzet bilesigi iceren gida malzemeleri birbiriyle uyum icerisinde guzel tat veren bir yemek olusturabilir. Bu calismada, Marmara Bolgesi’nde yeni bir tarif olusturmak icin, malzemeler icerdikleri ortak bilesik sayisina gore degerlendirilip tat bilesikleri ag analizi metodu kullanildi. Yuksek sayida ortak bilesik iceren eslestirmelerden pirinc, sut, kuru fasulye ve incir malzemelerini ihtiva eden yeni bir tatli gelistirildi. Ortak bilesiklerden sekiz tanesinin dort malzemede de bulundugu ve sasirtici bir sekilde birbiriyle benzer tat ve koku maddeleri icerdigi goruldu ki bu da lezzet eslestirme teorisinin bu bolgedeki yeni bir tarif icin kullanilabildigini gostermektedir. 9-noktali hedonik skala testine gore, 20 panelistin %80’i ‘Fevkalade begendim’ secenegini isaretlemistir. Lezzet bilimi ve gida eslestirme teorisinin bilinmesi, tuketimi cok tercih edilen yeni gida formulasyonlarinin gelistirilmesi imkânini bize verebilecektir.
Security for Virtualization in Cloud Services using Duplication Method

Cloud computing is the way of computing, where all the computing resources are available as a service over the internet based on requirements of the users. Virtualization is the concept which plays very important role in reducing the cost of investment and increases utilization and allows multi-tenancy. This concept helps to create virtual resources out of existing physical resources. When the virtual resources are created, they may face the problems due to various reasons and may not work properly. Providing the protection to these virtual resources and make them to work without any problem is the important. Here we introduce an approach called duplication method which allows the users to create more number of same virtual resources, so that if one of the resources fail due to some reason, users may have some more same resources to continue without disturbing their work and provide the security at different levels to make Virtual resources secure.
Estimating user interaction probability for non-guaranteed display advertising

Billions of advertisements are displayed to internet users every hour, a market worth approximately $110 billion in 2013. The process of displaying advertisements to internet users is managed by advertising exchanges, automated systems which match advertisements to users while balancing conflicting advertiser, publisher, and user objectives. Real-time bidding is a recent development in the online advertising industry that allows more than one exchange (or demand-side platform) to bid for the right to deliver an ad to a specific user while that user is loading a webpage, creating a liquid market for ad impressions. Real-time bidding accounted for around 10% of the German online advertising market in late 2013, a figure which is growing at an annual rate of around 40%. In this competitive market, accurately calculating the expected value of displaying an ad to a user is essential for profitability. In this thesis, we develop a system that significantly improves the existing method for estimating the value of displaying an ad to a user in a German advertising exchange and demand-side platform. The most significant calculation in this system is estimating the probability of a user interacting with an ad in a given context. We first implement a hierarchical main-effects and latent factor model which is similar enough to the existing exchange system to allow a simple and robust upgrade path, while improving performance substantially. We then use regularized generalized linear models to estimate the probability of an ad interaction occurring following an individual user impression event. We build a system capable of training thousands of campaign models daily, handling over 300 million events per day, 18 million recurrent users, and thousands of model dimensions. Together, these systems improve on the log-likelihood of the existing method by over 10%. We also provide an overview of the real-time bidding market microstructure in the German realtime bidding market in September and November 2013, and indicate potential areas for exploiting competitors’ behaviour, including building user features from real-time bid responses. Finally, for personal interest, we experiment with scalable k-nearest neighbour search algorithms, nonlinear dimension reduction, manifold regularization, graph clustering, and stochastic block model inference using the large datasets from the linear model .
A Novel Wireless TCP for 5G Mobile Network

Transmission control protocol (TCP) was originally designed for use in wired networks, so all packet losses are considered to be due to network congestion. However, in wireless networks, packet losses are mainly caused by transmission failure in wireless channel, and in such a situation, a sudden congestion window reduction causes a deterioration of performance of the entire system. The disadvantage of TCP in 5G wireless communication providing high-speed data transmission service will result in a fatal degradation of the system performance. For highly reliable and efficient data communication, wireless TCP for 5G mobile network should have ability to distinguish network congestion from packet transmission failure. In this paper, a novel TCP for 5G mobile network is proposed. The proposed TCP is designed considering the essential requirements of 5G wireless mobile network, and simulation results demonstrate that the throughput performance of proposed TCP outperforms that of other TCPs.