Miracle-dz/UniFAR-FTUs huggingface dataset:
Recommendation Based on Multi-product Utility Maximization Anonymous Author ( s ) Affiliation Address email

Recommender systems often recommend several products to a user at the same time, but with little consideration of the relationships among the recommended products. We argue that relationships such as substitutes and complements are crucial, since the utility of one product may depend on whether or not other products are purchased. For example, the utility of a camera lens is much higher if the user has the appropriate camera (complements), and the utility of one camera is lower if the user already has a similar camera (substitutes). In this paper, we propose multi-product utility maximization (MPUM) as a general approach to account for product relationships in recommendation systems. MPUM integrates the economic theory of consumer choice theory with personalized recommendation, and explicitly considers product relationships. It describes and predicts utility of product bundles for individual users. Based on MPUM, the system can recommend products by considering what the users already have, or recommend multiple products with maximum joint utility. As the estimated utility has monetary unit, other economic based evaluation metrics such as consumer surplus or total surplus can be incorporated naturally. We evaluate MPUM against several popular baseline recommendation algorithms on two off-line E-commerce datasets. The experimental results showed that MPUM significantly outperformed baseline algorithm under top-K evaluation metric, which suggests that the expected number of accepted/purchased products given K recommendations are higher.
BARCODES USING DIGITAL CAMERAS THROUGH IMAGE PROCESSING

About the Authors: Emre Başaran was born on 13th May 1983 in Balıkesir, Turkey. He is a last year student in the Electronic and Telecom Engineering department of Kocaeli University. Since the last year he has been working on a project based on barcode reading with image processing techniques. He enjoys computer programming with C, C# and is interested in new technologies like mobile communications. He wants to continue his studies in signal processing over mobile communications.
Origins and Evolution of the α-L-Fucosidases: From Bacteria to Metazoans

α-L-fucosidases (EC 3.2.1.51, FUC), belonging to the glycoside hydrolase family 29 (GH29), play important roles in several biological processes and are markers used for detecting hepatocellular carcinoma. In this study, a protein sequence similarity network (SSN) was generated and a subsequent evolutionary analysis was performed to understand the enzymes comprehensively. The SSN indicated that the proteins in the FUC family are mainly present in bacteria, fungi, metazoans, plants, as well as in archaea, but less abundantly. The sequences in bacteria were found to be more diverse than those in other taxonomic groups. The SSN and a phylogenetic tree both supported that the proteins in the FUC family can be classified into 3 subfamilies. FUCs in each subfamily are under the pressure of negative selection. The enzymes from metazoans, fungi, and plants separated into the three subfamilies and shared high similarity with the bacterial homologs. The multiple sequence alignment results indicated that the amino acid residues for binding α-L-fucosidase and catalysis are highly conserved in the 3 subfamilies; however, the evolutionary patterns were different, based on the coevolution analysis in the subfamily of metazoans and bacteria. Finally, gene duplication plays an important role for α-L-fucosidase evolution, not only in metazoans, but also in bacteria and fungi.
Supporting LFG Parsing with Dependency Parsing

In order to increase the coverage of the Polish LFG grammar, a novel method of combining grammar-based and data-driven parsers is proposed consisting in 1) augmenting the LFG grammar with so-called FRAGMENT rules which make it possible to obtain substructures for parsable fragments of sentences, 2) composition of such FRAGMENT substructures into a full f-structure on the basis of dependency relations proposed by an independent data-driven parser, with 2a) modification of the internal structure of FRAGMENT substructures only if absolutely necessary for independent (LFG-theoretical) reasons and 2b) modification of dependency relations in accordance with the naming and grammatical conventions of the LFG grammar.
FIV 2018-072 SELF-EXCITED OSCILLATIONS OF WIPING AIR KNIVES PART III : MITIGATION OF OPPOSING JETS OSCILLATION

During the hot-dip galvanizing process, a planar air jet is used on each side of a steel sheet to wipe away excess zinc material. This process is known to produce two distinct self-exited jet oscillations, each of which are summarized in Part I of this paper series. While Part II of this series discusses the oscillations produced by the jets impinging on the steel sheet, this paper is concerned with the oscillations near the edges of the sheet. In this region, the jets on the opposite sides of the sheet interact and exhibit robust oscillations characterized by periodic, out-of-phase lateral (or flapping) deflections of the two jet columns. Even though this phenomenon has been reported for a variety of practical applications, the underlying mechanism which sustains the oscillations is still not fully understood. Flow visualization, in conjunction with pressure field mapping, are performed to help reveal features of the flow field which are responsible for sustaining the oscillations. Periodic establishment and dissipation of circulation zones at the opposite sides of each jet and the resulting pressure oscillations in the entrainment regions are shown to be the main source which drives the jet oscillations. An effective way to eliminate the system oscillations is to disturb the flow in the circulation zones by locating small splitter plates in strategic locations far from the jet exit and the impingement region. INTRODUCTION Opposing planar jets, in their fundamental state, are two identical two-dimensional jets oriented toward each other along a common centerline, as shown in Fig. 1. The jets are oriented a distance (L) apart, defined as the impingement distance, and have identical slot widths (h) and jet exit velocities (Vm). The flow oscillations which result from the opposing jets are characterized by large lateral anti-symmetric deflecting oscillations of the jet columns, first observed by Denshchikov et al. [1]. This jet configuration is used in a variety of mixing and heat transfer applications due to the excellent mixing properties which result absent any mechanical inputs [2]. However, FIGURE 1: SCHEMATIC OF THE OPPOSING PLANAR JETS
Semiclassical versus Exact Quantization of the Sinh-Gordon Model

In this work we investigate the semiclassics of the Sinh-Gordon model. The Sinh-Gordon model is integrable, its explicit solutions of the classical and the quantum model are well known. This allows for a comprehensive investigation of the semiclassical quantization of the classical model as well as of the semiclassical limit of the exact quantum solution. Semiclassical means in this case that the key objects of quantum theory are constructed as formal power series. A quantity playing an important role in the quantum theory is the Q-function. The purpose of this work is to investigate to what extend the classical integrability of the model admits of a construction of the semiclassical expansion of the Q-function. Therefore we used two conceptual independent approaches. In the one approach we start from the exact nonperturbative solution of the quantum model and calculate the semiclassical limit up to the next to leading order. Thereby we found the spectral curve, as well as the semiclassical expansion of the Q-function and of the eigenvalue of the monodromy matrix. In the other approach we constructed the rst two orders of the semiclassical expansion of the Q-function, starting from the classical solution theory. The results of both approaches coincide. Zusammenfassung In dieser Arbeit untersuchen wir Semiklassik des Sinh-Gordon Modells. Das Sinh-Gordon Modell ist integrabel, die expliziten Lösungen der klassischen und der Quantentheorie sind bekannt. Das ermöglicht eine umfassende Untersuchung sowohl der semiklassischen Quantisierung des klassischen Modells als auch des semiklassischen Grenzwerts der exakten Quantenlösung. Semiklassisch bedeutet in dem Fall, dass die entscheidenden Grössen der Quantentheorie als formale Potenzreihe in ~ konstruiert werden. Eine Schlüsselrolle in der Lösung der Quantentheorie nimmt die Q-Funktion ein. Ziel der Arbeit ist es zu beantworten, inwieweit die klassische Integrabilität des Modells eine Konstruktion der semiklassischen Q-Funktion ermöglicht. Dabei verfolgen wir zwei konzeptionell unabhängige Wege. Zum einen gehen wir von der exakten, nicht störungstheoretischen Lösung des Quantenmodells aus und berechnen den halbklassischen Grenzwert bis zur nächstführenden Ordnung in ~. Wir nden dabei die Spektralkurve, sowie die semiklassische Entwicklung der Q-Funktion und des Eigenwerts der Monodromiematrix. Zum anderen konstruieren wir die ersten beiden Ordnungen der halbklassischen Q-Funktion ausgehend von der klassischen Lösungstheorie des Modells. Die Resultate beider Herangehnsweisen stimmen überein.
The Role of Tax on Economic Growth

The purpose of the study is to identify the role and impact of tax in economic growth. This research has used 27 selected Asian countries for 5 year time period (panel data). The relationship between the dependent variables (GDP per capita and FDI rate) and independent variables (individual income tax, corporate tax, and consumption tax) was investigated in order to identify the role of tax in economic growth. Descriptive analysis and regression analysis will be adopted to analyze the data.
M ay 2 01 9 Fractional Langevin equation from damped bath dynamics

We consider the stochastic dynamics of a system linearly coupled to a hierarchical thermal bath with two well-separated inherent timescales: one slow, and one fast. The slow part of the bath is modeled as a set of harmonic oscillators and taken into account explicitly, while the effects of the fast part of the bath are simulated by dissipative and stochastic Langevin forces, uncorrelated in space and time, acting on oscillators of the slow part of the bath. We demonstrate for this model the robust emergence of a fractional Langevin equation with a power-law decaying memory kernel. The conditions of such an emergence and the specific value of the fractional exponent depend only on the asymptotic low-frequency spectral properties of the slow part of the bath.
A SIMPLE FAST ALGORITHM FOR MINIMIZATION OF THE ELASTICA ENERGY COMBINING BINARY AND LEVEL SET

For curves or general interfaces, Euler’s elastica energy has a wide range of applications in computer vision and image processing. It is however diﬃcult to minimize the functionals related to the elastica energy due to its non-convexity, nonlinearity and higher order with derivatives. In this paper, we propose a very simple way to combine level set and binary representations for interfaces and then use a fast algorithm to minimize the functionals involving the elastica energy. The proposed algorithm essentially just needs to solve a total variation type minimization problem and a re-distance problem. Nowadays, there are many fast algorithms to solve these two problems and thus the overall eﬃciency of the proposed algorithm is very high. We then apply the new Euler’s elastica minimization algorithm to image segmentation, image inpainting and illusory shape reconstruction problems. Extensive experimental results are ﬁnally conducted to validate the eﬀectiveness of the proposed algorithm.
PROMISES AND CONS OF NANOBIOTECHNOLOGY : A CRITICAL REVIEW

Nanotechnology is a cutting-edge field of science, which allows the manipulation of materials having dimensions in nanometers. Nanotechnology has numerous applications in almost all the areas, including human health, environment, bio-diagnostics, drug delivery etc. Excessive and over-use of nanomaterials has led to the uncontrolled release of nanomaterials into the environments which are toxic to the living organisms. The present review has attempted to provide a detailed overview of the nanoparticles, their synthesis, classification, applications and toxic effects. Different methods of nanoparticles synthesis like physical, chemical and biological methods have been addressed. Physical and chemical methods for nanoparticles synthesis are less eco-friendly and contaminate the environment. Recently, biological methods have gained significant attention and are frequently used because they are eco-friendly and cost effective. Due to enormous properties of nanoparticles they are suitable for various commercial, domestic, medical and environmental applications exist in different forms. This paper also reviews exposures to toxic effects of nanoparticles on human and environment.
Information Accrual From the Period Preceding Racket-Ball Contact for Tennis Ground Strokes: Inferences From Stochastic Masking

Previous research suggests the existence of an expert anticipatory advantage, whereby skilled sportspeople are able to predict an upcoming action by utilizing cues contained in their opponent’s body kinematics. This ability is often inferred from “occlusion” experiments: information is systematically removed from first-person videos of an opponent, for example, by stopping a tennis video at the point of racket-ball contact, yet performance, such as discrimination of shot direction, remains above chance. In this study, we assessed the expert anticipatory advantage for tennis ground strokes via a modified approach, known as “bubbles,” in which information is randomly removed from videos in each trial. The bubbles profile is then weighted by trial outcome (i.e., a correct vs. incorrect discrimination) and combined across trials into a classification array, revealing the potential cues informing the decision. In two experiments (both with N = 34 skilled tennis players) we utilized either temporal or spatial bubbles, applying them to videos running from 0.8 to 0 s before the point of racket-ball contact (cf. Jalali et al., 2018). Results from the spatial experiment were somewhat suggestive of accrual from the torso region of the body, but were not compelling. Results from the temporal experiment, on the other hand, were clear: information was accrued mainly during the period immediately prior to racket-ball contact. This result is broadly consistent with prior work using nonstochastic approaches to video manipulation, and cannot be an artifact of temporal smear from information accrued after racket-ball contact, because no such information was present.
Time Spent With Parents Varies With Early-Life Condition, but Does Not Predict Survival or Sociality of Juvenile Hihi

Many young birds die soon after fledging, as they lack the skills to find food and avoid predation. Post-fledging parental care is assumed to assist acquisition of these vital skills. However, we still lack empirical examples examining the length of time fledglings spend with parents, how they associate during this critical time, or whether such variation in the fledgling dependency period has consequences for the survival and behaviour of young as they navigate their first year of independent life. Here, we make use of observations and radio frequency identity (RFID) logs of visits to supplementary feeding stations to investigate how condition of fledgling hihi (stitchbird, Notiomystis cincta), a New Zealand passerine, predicts dispersal behaviour and tendency to follow parents during their two week post-fledging dependence period. We find that thinner fledglings followed their parents more closely in time when visiting feeding stations, compared to fatter siblings (all following ranged from 3 sec to 10 min). However, broods in poorer condition tended to disperse from the natal territory up to 6.5 days earlier than broods of fatter fledglings (all dispersed within 14 days). Our results did not find that sociality or survival during the first year of life differed depending on variation in fledgling behaviour; neither following parents closely nor dispersing later predicted each bird’s number of associates (degree), or survival over winter. These results suggest that fledglings may be able to compensate for early differences in condition with behaviour, either during the post-fledging dependence period or when independent.
The Design Process of Vakfikebir River Fol Park

As the communication between quality outdoor spaces and their residents emerged as a subject of scientific study, landscape architecture has come to mean much more than the embellishment of the environment. Its importance has grown further with the increasing awareness of the rapidly depleting natural resources. Therefore, many official and private legal and natural entities started to view landscaping projects as a matter of prestige, self-expression and branding. Vakfikebir, a city located on the northeast coast of Turkey and one of the largest cities of Trabzon, is one of the cities putting forth efforts in pursuit of this goal. In search for creating opportunities for its residents to spend quality time near River Fol, a river flowing through the city, a landscaping project was commenced in response to the request of the Municipality of Vakfikebir. The most pronounced request of the Municipality was to repurpose this unused area for the use of the residents and create a distinctive silhouette that will have an international eminence. The project was prepared by Dr. Emrah YALÇINALP through the instrument of the Circulating Capital Enterprise of Karadeniz Technical University. The 45-day preliminary study was started with field analysis and interviews to determine the user profile; then, in light of the data obtained from the preliminary study, the project was first conceptually laid out and, then, delivered to the relevant municipal authorities as an application project. During the four-month sitework, the site was weekly visited and supervised to ensure the construction process is in keeping with the project. The project aims to contribute to the international renown of the city, which has been populated since 2017, by creating an authentic silhouette.
Coronary Artery Disease among Elderly Egyptian Patients: I. Socio-Demographic, Lifestyle, Psychosocial, Medical, and Biochemical Risk Factors

Background: Coronary Artery Disease (CAD) is a worldwide public health problem. Its prevalence rate is increasing all over the world including Egypt. Aims: To determine the socio-demographic, lifestyle, medical and psychosocial risk factors of CAD among elderly Egyptian patients, and to determine patients’ candidates to cardiac surgery. Patients and Methods: A case-control, hospital-based study design was chosen to conduct this research. The study was conducted on 120 patients with CAD and an equal number of controls. The patients and controls were subjected to an interview, and clinical and laboratory examinations. Results: The important significant risk factors for CAD were male gender, widow/widower, high education, profession occupations, high social class, smokers, physically inactive, high fat and salt intake, hypertension, diabetes, metabolic syndrome, chronic kidney disease, obesity, abdominal obesity, family history of CAD, stress especially general stress, depression, anxiety, aggression, absence of social support, and high levels of TG, total cholesterol, LDL-cholesterol, and low HDLcholesterol levels (OR=4.27, 5.54, 3.06, 3.29, 2.07, 3.56, 2.49, 4.42 & 3.97, 6.44, 5.5, 4.66, 2.88, 4.38, 5.7, 4.03, 3.33 & 4.96, 3.21, 10.47, 5.03, 3.14, 3.68, 4.46, 4.88, and 7.66; respectively). Conclusion: CAD is an important preventable health problem as many of its risk factors are modifiable. Modifications of lifestyle and psychosocial risk factors of CAD are the most important interventions to reduce morbidity and mortality of CAD. Recommendations: It is important to pay more attention to increase people’s and health care team’ awareness about these modifiable risk factors. This could be achieved through health education programs. Also, routine screening of subjects above age of forty for early detection of medical risk factors and psychosocial upset for better prevention and control of CAD is recommended.
Landmark recognition in VISITO : VIsual Support to Interactive TOurism in Tuscany

We present the VIsual Support to Interactive TOurism in Tuscany (VISITO Tuscany) project which offers an interactive guide for tourists visiting cities of art accessible via smartphones. The peculiarity of the system is that user interaction is mainly obtained by the use of images – In order to receive information on a particular monument users just have to take a picture of it. VISITO Tuscany, using techniques of image analysis and content recognition, automatically recognize the photographed monuments and pertinent information is displayed to the user. In this paper we illustrate how the use of landmarks recognition from mobile devices can provide the tourist with relevant and customized information about various type of objects in cities of art.
Sample Compression, Support Vectors, and Generalization in Deep Learning

Even though Deep Neural Networks (DNNs) are widely celebrated for their practical performance, they possess many intriguing properties related to depth that are difficult to explain both theoretically and intuitively. Understanding how weights in deep networks coordinate together across layers to form useful learners has proven challenging, in part because the repeated composition of nonlinearities has proved intractable. This paper presents a reparameterization of DNNs as a linear function of a feature map that is <italic>locally independent</italic> of the weights. This feature map transforms depth-dependencies into simple <italic>tensor</italic> products and maps each input to a discrete subset of the feature space. Then, using a max-margin assumption, the paper develops a <italic>sample compression</italic> representation of the neural network in terms of the discrete activation state of neurons induced by <inline-formula> <tex-math notation="LaTeX">$s$ </tex-math></inline-formula> “support vectors”. The paper shows that the number of support vectors <inline-formula> <tex-math notation="LaTeX">$s$ </tex-math></inline-formula> relates with learning guarantees for neural networks through sample compression bounds, yielding a sample complexity of <inline-formula> <tex-math notation="LaTeX">$\mathcal {O}(ns/\epsilon)$ </tex-math></inline-formula> for networks with <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> neurons. Finally, the number of support vectors <inline-formula> <tex-math notation="LaTeX">$s$ </tex-math></inline-formula> is found to monotonically increase with width and label noise but decrease with depth.