Miracle-dz/UniFAR-FTUs huggingface dataset:
PlayeRank: Multi-dimensional and role-aware rating of soccer player performance

The problem of rating the performance of soccer players is attracting the interest of many companies, websites, and the scientific community, thanks to the availability of massive data capturing all the events generated during a game (e.g., tackles, passes, shots, etc.). Existing approaches fail to fully exploit the richness of the available data and lack of a proper validation. In this paper, we design and implement PlayeRank, a data-driven framework that offers a principled multi-dimensional and role-aware evaluation of the performance of soccer players. We validate the framework through an experimental analysis advised by soccer experts, based on a massive dataset of millions of events pertaining four seasons of the five prominent European leagues. Experiments show that PlayeRank is robust in agreeing with the experts' evaluation of players, significantly improving the state of the art. We also explore an application of PlayeRank --- i.e. searching players --- by introducing a special form of spatial query on the soccer field. This shows its flexibility and efficiency, which makes it worth to be used in the design of a scalable platform for soccer analytics.
Improved Finite Volume Method for Three-Dimensional Radiative Heat Transfer in Complex Enclosures Containing Homogenous and Inhomogeneous Participating Media

ABSTRACT The paper presents a modified finite volume method for the solution of the radiative transport equation, which implements the FTn angular discretization along with the bounded high-resolution curved line advection method to alleviate ray effect and false scattering, respectively, and consequently improve the accuracy of the final results. Using the blocked-off-region procedure, the present formulation is capable of treating blockage effects caused by inner/outer obstructing bodies. The developed methodology based on the combination of the above methods is evaluated against five three-dimensional test cases considering either homogenous or inhomogeneous participating media. For all cases, the predictions reveal the mitigation of false scattering and ray effects consequently the improvement of accuracy, employing this model for solving radiation heat transfer in industrial applications. In industrial application, the radiative heat transfer problem is solved for a unity boiler furnace where an inhomogeneous medium is assumed. The effects of the scattering albedo, walls emissivity and walls temperature are investigated.
Low Complexity Spectrum Sensing Approach applying Random Sampling in Cognitive Radio Networks

—Cognitive Radio appears as a natural solution to the problems of spectrum scarcity resulting from the great popularity of wireless communications and the evolution of radio technologies. This technology allows an unlicensed user to use the licensed frequency bands in an opportunistic manner. In order to determine whether a given band is occupied or vacant, a spectrum sensing feature is required. Energy detector is the most popular technique used for spectrum sensing for its low computational requirements. In this contribution, we investigate the application of the Discrete Fourier Transform and random sampling combined with the energy detector technique in a cognitive radio system in order to reduce its complexity. We have evaluated the performance of the proposed approach in terms of the Receiver Operating Characteristics (ROC curves), the false alarm probability, complexity and losses in Signal to Noise Ratio. The obtained results are compared with an approach based on the LU (Gaussian Elimination) algorithm.
Geometric analysis-based trajectory planning and control for underactuated capsule systems with viscoelastic property

This paper proposes a novel geometric analysis-based trajectory planning approach for underactuated capsule systems with viscoelastic property. The idea is to reduce complexity and to characterize coupling by imposing a harmonic drive and then to compute the dynamics projection onto a hyper-manifold, such that the issue of trajectory planning is converted into geometric analysis and trajectory optimization. The objective is to obtain optimal locomotion performance in terms of tracking error, average capsule speed and energy efficacy. Firstly, an analytical two-stage velocity trajectory is given based on control indexes and dynamic constraints. A locomotion-performance index is then proposed and evaluated to identify the optimal viscoelastic parameters. The trajectory is optimally parameterized through rigorous analysis. A nonlinear tracking controller is designed using collocated partial feedback linearization. For the sake of efficiency in progression and energy, the proposed method provides a novel approach in characterizing and planning motion trajectory for underactuated capsule systems such that the optimal locomotion can be achieved. Simulation results demonstrate the effectiveness and feasibility of the proposed method.
Quantitative and Qualitative Analysis of Overlapping Community Detection Algorithms

—Communities are described as functional modules in complex networks. Most of the existing algorithms are dedicated to find network partition as communities although in real-life, small groups can also represent functional modules. Recently, an overlapping community finder Ego Based Merged Overlapping Communities, a.k. a EMOC, is introduced as finding small groups. In this work, we concentrate on EMOC which seems to find highly overlapping communities at small size. In real-world social systems, these types of communities correspond to small social groups such as family members or coworkers sharing some members. We evaluate an analytical and empirical comparative analysis of EMOC with foremost algorithms in the literature. First, we perform a quantitative analysis by using well-known evaluation metric; NMI. Second, differently from ordinary performance evaluation methods, we compare the topological properties of the algorithms’ estimated community structures in order to evaluate their community identification quality. Performance evaluation experiments have been done on LFR artificial network benchmark. Furthermore, we consult three real-world networks for representing the use cases of EMOC. The results show that EMOC successfully identifies small and highly overlapping communities. Its quantitative performance results are supported by qualitative results. Although some algorithms might seem highly performing according to quantitative analysis, they might estimate communities with non realistic topological properties.
Tokopedia Innovation Through Promotion and Easy to Use Applications on Community Buying Interest in the Pandemic Time Covid 19

: Promotion and ease of using applications (user friendly) from Tokopedia fostered public interest in visiting applications and buying products during the Covid 19 Pandemic. The uncertain Covid 19 pandemic has prompted Tokopedia to innovate through promotions and ease of use of applications. The research method used in this research is quantitative method with a sample of 100 respondents to the Tokopedia application users. The results show that there is an influence of Tokopedia's innovation through promotion and ease of use of the application so that people are interested and interested in shopping at Tokopedia during the Covid 19 pandemic. Innovation through continuous promotion can influence people to shop. The prolonged Covid19 pandemic has made people refrain from doing activities outside the home and Tokopedia sees this opportunity. The ease of using the application also influences the public to shop on Tokopedia. The easier it is for people to access the application, it makes them reluctant to switch to other applications.
The Association Between Serum Riboflavin and Flavin Mononucleotide With Pancreatic Cancer

Objectives Vitamin B2 (riboflavin) has a prime role in metabolic reactions imperative to cell cycle and proliferation. We investigated the associations between serum concentrations of riboflavin flavin mononucleotide with the risk of pancreatic cancer in a nested case-control study involving 58 cases and 104 matched controls. Methods The Singapore Chinese Health Study, an ongoing prospective cohort study of 63,257 Chinese Singaporeans. Conditional logistic regression method was used to evaluate these associations with adjustment for potential confounders including the level of education, body mass index, smoking status, alcohol consumption, history of diabetes, serum cotinine and pyridoxal 5′-phosphate, estimated glomerular filtration rate, and total methyl donors (ie, the sum of serum choline, betaine, and methionine). Results The risk of pancreatic cancer increased with increasing level of serum riboflavin in a dose-dependent manner, especially in men (Ptrend = 0.003). The odds ratio (95% confidence intervals) of pancreatic cancer for the second and third tertiles of serum riboflavin, compared with the lowest tertile, were 9.92 (1.65–59.77) and 25.59 (3.09–212.00), respectively. This positive association was stronger in individuals with a longer follow-up period (≥7 years). Conclusions The findings suggest a potential role of riboflavin in the development of pancreatic cancer, especially in men.
Dynamic Discounting in Decision-Making

In this paper, we explore self-control in cognitive systems using reinforcement learning. We characterize self-control in decision making based on theories of delay discounting proposed in cognitive psychology. Our model explores self-control through different discount functions and learning rates in a Capture-the-flag (CTF) game where immediate rewards are from flag control and defense actions but overall wins are based on successful return of the flag to the base. We provide empirical results using game playing agents for both static and dynamic discounting cases. Results show that hyperbolic and exponential discounting is effective in decisions that have longer time horizons for rewards, such as flag returns to base in the CTF game. We further show the impact of different combinations of dynamic and static settings for discount and learning rates on self-control in our reinforcement learning agents.
Attachment Styles as Predictors of Suicidal Behavior in School Going Adolescents

Purpose: Secondary school students face numerous challenges as they balance academic challenges, parental and peer pressures, emotional issues related to puberty changes and adolescence expectations. They also grapple about not knowing what the future holds in terms of career paths. As a result of these challenges, it is common for adolescents to have suicidal thoughts that may lead to suicide attempts. Suicide is among the leading cause of death in young people and is prevalent worldwide. Suicidal behavior has been associated with attachment security in studies but few of these studies have been done in Kenyan adolescents. This study filled this gap by investigating whether attachment styles predicted suicidal behavior in students attending secondary schools in Nairobi, Kenya. Methodology: The study was correlational in design and was based on the attachment theory. Three hundred and sixty seven randomly selected students completed self-report measures consisting of the Attachment Styles Questionnaire and a Suicidal Behavior Scale. Findings: Results of multiple regression showed that that attachment styles significantly predicted suicidal behavior (F = 36.125, P < .000) and 30% of variance in suicidal behavior was attributed to the attachment styles (R2 = .300). Preoccupied (β = .487, P < .001) and dismissing (β = .122, P = .018) attachment styles predicted suicidal behaviors. Unique Contribution to Theory, Practice and Policy: The contribution to knowledge of this paper is that it provides a theoretical and practical contribution on the importance of attachment styles in predicting suicidal behaviours. The results of the study show that attachment security plays an important role in adolescents’ suicide behavior as insecurely attached students have a higher risk of suicide.Basically, the study contributed to a theoretical enhancement of the current level of knowledge on the existing literature on attachment styles and suicidal behaviours, achieved by testing empirically the adolescent behaviour. Therefore, suicide prevention programs should take into account adolescents’ attachment styles.
Speaking of transparency: Are all Artificial Intelligence (AI) literature reviews in education transparent?

Literature reviews are considered a core research approach in developing new theories and identifying trends and gaps in a given research topic. However, the transparency level of literature reviews might hinder the quality of the obtained findings, thus limiting their implications. As transparency is one of the core elements when implementing Artificial Intelligence (AI), this study assesses the transparency level of literature reviews on AI in education. Specifically, this study used a systematic review to collect and analyze information about reports of methodological decisions and research activities in 61 literature review papers. The obtained findings highlighted that 51.9% of the conducted reviews on AI in education are descriptive. Additionally, the transparency level of the conducted literature reviews was low; 40% of the reviews were in Q1 and 32% in Q2. Particularly, the quality assessment step had the lowest transparency level. The findings of this research can advance the educational technology field by underscoring the methodological gaps when conducting a literature review on AI in education and hence enhance the transparency and trustworthiness of the obtained findings.
A real representation of complex polynomial matrices in the framework of conjugate product

ABSTRACT A real representation of complex polynomial matrices in the framework of conjugate product is first proposed, and some interesting properties of the proposed real representation are given. With the real representations as tools, alternative proofs for some properties of conjugate product are given. In addition, the concept of real determinant is proposed for complex polynomial matrices in the framework of conjugate product, and based on the real determinant the invertibility in the framework of conjugate product is investigated. These results imply that the proposed real representation has potential applications in the further investigation of conjugate product.
STRATEGI MARKETING PUBLIC RELATIONS DALAM MEMBANGUN BRAND IMAGE DAN BRAND TRUST MIE KIRO

Penelitian ini bertujuan untuk mengetahui dan memberikan informasi terkait cara membangun citra merek dan kepercayaan masyarakat terhadap produk Mie Kiro. Metode penelitian ini menggunakan pendekatan kualitatif deskriptif (wawancara dan studi kepustakaan). Hasil yang didapatkan dari penelitian ini adalah kaum muda dan generasi z pengguna aktif media sosial menjadi target utama pemasaran Mie Kiro, sehingga pembangunan citra merek Mie Kiro difokuskan melalui media sosial. Penjualannya dengan harga yang terjangkau menarik minat para konsumen, ditambah dengan kualitas pelayanan, bahan, serta rasa Mie Kiro yang baik, membuat nama Mie Kiro mendapatkan tempat di benak konsumen.Kata Kunci : Hubungan Masyarakat, Strategi Marketing, Merek
Stomatal and Non-Stomatal Turbulent Deposition Flux of Ozone to a Managed Peatland

Ozone is a key trace gas in the troposphere; because it is a greenhouse gas, it is very reactive, and it is potentially toxic to humans, fauna, and vegetation. The main sink processes for ozone are chemical reactions and the turbulent deposition flux to the earth’s surface. The deposition process itself is rather complex: The interactions between co-varying drivers such as the tropospheric ozone concentration, turbulence, and chemical reactions are not well understood. In the case of ozone deposition to vegetation, another aspect that must be studied is the role of stomatal regulation for a wide range of conditions. Therefore, we measured turbulent deposition fluxes of ozone with the eddy covariance technique during the peak of the growing season in 2014 over a managed, rewetted peatland in NW Germany. The deposition flux was large during the day (up to −15 nmol m−2 s−1) and relatively small during the night (between −1 and −2 nmol m−2 s−1). Flux partitioning by applying the surface resistance analogy and further analysis showed that the stomatal uptake was smaller than non-stomatal deposition. The correction of stomatal conductance with the gross primary production (GPP) improved the estimation of day- and nighttime stomatal deposition fluxes. Statistical analysis confirmed that the friction velocity (u*) was the single most important driver of non-stomatal ozone deposition and that relationships with other environmental drivers are not linear and highly variable. Further research is needed to develop a better process understanding of non-stomatal ozone deposition, to quantify the role of surface deposition to the ozone budget of the atmospheric boundary layer, and to estimate uncertainties associated with the partitioning of ozone deposition into stomatal and non-stomatal fluxes.
Convergence of Heston to SVI Proposed Extensions: Rational & Conjecture for the Convergence of Extended Heston to the Implied Volatility Surface Parametrization

A mathematical and a market argument on the sub-linearity of the wings for the implied variance is given. Gatheral stochastic volatility inspired (SVI) parameterization claim to have two key properties that have led to its subsequent popularity with practitioners is exposed. Namely the linearity in the log-strike k as |k| → ∞ consistent with Roger Lees moment formula as well as its connection to the Heston model are examined more in details. Though correct, the former point led to the model subsequent decommission in the industry. We explain this apparent contradiction by pointing to a mathematically convenient chosen factor in the Heston model which we expose and consequently introduce couple candidates: the p-Heston and the Inferred Correlation models instead. The link between the latter and the SVI being broken, we propose a connection to the Implied Volatility surface Parametrisation (IVP) recently introduced and propose a conjecture between a mirror convergence towards these models using the parallel between the traditional Heston to SVI convergence.
On the structure of state space systems with unit roots

Minimality of the state space representation of a stochastic process places restrictions on the rank of certain matrices that show up in the leading coecient of the principal part of the MA transfer functions implied by the system. When unit roots are allowed for, those restrictions and the reduced rank structure of the state process shape the integration and cointegration properties of the state and the observed processes. A characterization of cointegration is presented in the I(d) case and it is further found that the present results lead to a construction of the canonical form in Bauer and Wagner (2012) Econometric Theory, 28, 1313-49.
H/sup infinity / observer based force control without force sensor

The authors propose the force control of a robot manipulator without a force sensor. The proposed force control system is realized by an H/sup infinity / acceleration controller and a H/sup infinity / force observer. The H/sup infinity / acceleration controller regulates the actuator of the robot manipulator by the acceleration control command omega /sup cmd/. The H/sup infinity / force observer estimates the imposed force to the actuator. Both H/sup infinity / systems are designed by the mixed sensitivity H/sup infinity / control design method. The experimental results show the response characteristics of both the force sensor feedback force control and the H/sup infinity / force observer based force control. It is shown that the system regulates force well. <<ETX>>
Cancer Incidence and Mortalityin Newark,

New Jersey has acquired the invidious label “Cancer Alley U. S. A. ” based upon a national cancer mortality analysis. However, a cancer incidence survey conducted in Newark, the largest metropolitan industrial city in New Jersey, showed that age-adjusted Newark rates for all sites were comparable to the Third National Cancer Survey (TNCS) and Surveillance, Epidemiology and End Results (SEER) populations, except for black males who had statistically lower rates compared with the SEER population only. However, Newark did have statistically higher incidence of the following: (a) esophagus cancer among white men, black men, and black women; and (b) cervix, uterus, ovary, and bladder cancers among black women. Age-adjusted Newark cancer mortality for all sites was not statistically different from the SEER experience, except for an excessive cancer mortality among white men for stomach and esophagus; white women for stomach, colon-rectum, and uterus; black men for esophagus and colon-rectum; black women for colon-rectum, cervix, uterus, and ovary. An analysis of Newark mortality/incidence ratios suggests that the excessive cancer burden for the majority of sites studied resulted from poor end results of therapy, probably due to either late diagnosis, poor compliance, and/or suboptimal therapy. The Newark data cast doubt on the validity of the use of mortality data only in referring pejoratively to New Jersey as “Cancer Alley U. S. A. ” Cancer 47~10471053, 1981.
Integrative Biomedical Sciences Dramatic Increase of Multiresistant Microorganisms We are approaching the Postantibiotic Era?

Clinical environments provide an ideal reservoir for the growth, proliferation, and transmission of pathogenic organisms. Surfaces in hospitals e.g. hospital furniture, ECG lead wires and other cables, push buttons of infusion pumps, control knobs of ventilation machines, textiles as well as implantable biomaterials like central venous catheters, urologic catheters, endotracheal tubes are contaminated increasingly frequent with multiresistant microorganisms. These microorganisms are distributed by the hands of the nursing personnel throughout the hospital with serious, life threatening consequences. 1.8 million patients suffer from a nosociomial infection per year in Europe; approximately 180,000 deaths are attributed to these infections. The Centers for Disease Control (CDC) estimates that 2 million U.S. patients per year acquire a hospital-related infection. These infections cause 90,000 deaths each year and cost an average of $47,000 per patient to treat. The added cost to hospitals is $4.8 billion annually for extended care treatment. Microorganisms show an increasing rate of resistance against the majority of antibiotics including carbapenems as last available antibiotic. 700,000 deaths have been reported worldwide, 30 000 deaths alone in Europe during the last year due to infections where no effective antimicrobial substance was available. The use of disinfectants is ostensibly intended to remove/kill pathogens on surfaces. However studies have shown that more than one-half the time, surfaces are not adequately cleaned or are recontaminated within minutes. Much emphasis has been put therefore on hand disinfection. However there are also reports of the emergence of alcohol tolerant/insensitive microorganisms e.g., vancomycin resistant enterococci. This phenomenon has the potential to undermine the effectiveness of alcohol-based disinfectant standard precautions. The reason for this dramatic development of resistant microorganisms is still in debate. The indiscriminate use of antibiotics for viral infections is frequently incriminated, however this seems to have little impacton the occurrence of multiresistant hospital pathogens. In contrast there is increasing evidence that the widespread use of disinfectants is responsible: disinfectants - analogous to antibiotics - must be incorporated into the metabolism of microorganisms. This is inevitably associated with induction of resistance by transfer of resistance plasmids e.g. induction of efflux pumps. 7880 publications (Aug 2019) are available in the international literature which document the induction of resistance by disinfectants and 649 papers describe the cross resistance with antibiotics.