Miracle-dz/UniFAR-FTUs huggingface dataset:
Searching for the GOAT of tennis win prediction

Abstract Sports forecasting models – beyond their interest to bettors – are important resources for sports analysts and coaches. Like the best athletes, the best forecasting models should be rigorously tested and judged by how well their performance holds up against top competitors. Although a number of models have been proposed for predicting match outcomes in professional tennis, their comparative performance is largely unknown. The present paper tests the predictive performance of 11 published forecasting models for predicting the outcomes of 2395 singles matches during the 2014 season of the Association of Tennis Professionals Tour. The evaluated models fall into three categories: regression-based, point-based, and paired comparison models. Bookmaker predictions were used as a performance benchmark. Using only 1 year of prior performance data, regression models based on player ranking and an Elo approach developed by FiveThirtyEight were the most accurate approaches. The FiveThirtyEight model predictions had an accuracy of 75% for matches of the most highly-ranked players, which was competitive with the bookmakers. The inclusion of career-to-date improved the FiveThirtyEight model predictions for lower-ranked players (from 59% to 64%) but did not change the performance for higher-ranked players. All models were 10–20 percentage points less accurate at predicting match outcomes among lower-ranked players than matches with the top players in the sport. The gap in performance according to player ranking and the simplicity of the information used in Elo ratings highlight directions for further model development that could improve the practical utility and generalizability of forecasting in tennis.
Young stellar populations in type II quasars: timing the onset of star formation and nuclear activity

Despite the emerging morphological evidence that luminous quasar-like active galactic nuclei (AGN) are triggered in galaxy mergers, the natures of the triggering mergers and the order of events in the triggering sequence remain uncertain. In this work, we present a detailed study of the stellar populations of the host galaxies of 21 type II quasars, with the aim of understanding the sequence of events between the onset of the merger, the triggering of the associated starburst and the initiation of the quasar activity. To this end, we model highquality, wide spectral coverage, intermediate-resolution optical spectra of the type II quasars. We find that of the 21 objects, the higher order Balmer absorption lines, characteristic of young stellar populations (YSPs), are directly detected in ∼62 per cent of the sample. We also fit these spectra using a number of combinations of stellar and/or power-law components, representative of viable formation histories, as well as including the possibility of scattered AGN light. We find that ∼90 per cent of the type II quasar host galaxies require the inclusion of a YSP to adequately model their spectra, whilst 71 per cent of the sample require the inclusion of a YSP with age <100 Myr. Since the ages of the YSP in most type II quasar host galaxies are comparable with the expected lifetimes of the AGN activity, these results provide strong evidence that the quasars are triggered close to the peaks of the merger-induced starbursts.
Analytical Design Space of Power Amplifiers Including the Class-A/B/J Continuum for Dynamic Load Modulation

In this paper, an analytical design space of power amplifiers (PAs) including the Class-A/B/J continuum for dynamic load modulation (DLM) at the current generator plane (CGP) is proposed based on the theory of load modulated (LM) continuous Class-B/J PAs. By introducing a biasing operation factor $\rho $ , the theory of DLM PAs provides an analytical design space for all the operation modes from Class-B/J mode to Class-A mode. The analytical design space of DLM PAs shows that high efficiency is maintained at a large dynamic range of output power back-off (OPBO) with a purely resistive load modulation at the CGP when Class-B/J mode is performed. For deep Class-AB mode, the analytical design space of the DLM PAs shows that a combination of resistive and reactive load modulation at the CGP is used to maintain the high efficiency at the OPBO. The effectiveness of the proposed analytical design space is validated by load-pull measurements of a bare-chip gallium nitride (GaN) device.
Simple Multi-RAT RoF System With $2\times2$ MIMO Wireless Transmission

A simple multi-radio access technology (multi-RAT) capable radio over fiber (RoF) system with <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> multiple-input-multiple-output (MIMO) wireless transmission is proposed and experimentally demonstrated. The transmission of sub-6 GHz and 60 GHz millimeter-wave (MMW) services is enabled by a dual-drive Mach–Zehnder modulator (DDMZM) and an optical interleaver. In the central office (CO), sub-6 GHz and 30 GHz signals are applied to the dual branches of the DDMZM which is biased at the quadrature point. After transmission over single-mode fiber (SMF), the two services are separated by the optical interleaver. One output port of the interleaver is used for delivering the sub-6 GHz signal while the other one is used for the generation and transmission of the 60 GHz MMW signal. Furthermore, we also demonstrate the MIMO technology can be used in the proposed architecture to improve the capacity. A proof-of-concept experiment is performed to verify the feasibility of the proposed scheme. In the experiment, a 1.3 Gb/s orthogonal frequency division multiplexing (OFDM) signal at 55 GHz is transmitted over 25 km of SMF and 1 m <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> MIMO wireless distance while a 675 Mb/s OFDM signal at 0.375 GHz is delivered over 25 km of SMF at the same time.
The effect of feed additives in pheasants fattening: A review

Fattening pheasants for the production of quality meat is a relatively recent development. With its high protein and low fat content, meat of pheasant is a highly nutritious food whose value exceeds that of broiler chickens meat. Despite the fact that the intensive rearing of pheasants has developed relatively quickly in recent years, information on the fattening capabilities and slaughter values of pheasants is often insufficient in the current literature. The length of the fattening period also differs in the literature and reported from 13 to 20 weeks while highest weight gains of pheasants to occur between 4 and 12 weeks of age. Growth of pheasants is also reflected in the weight and dimensions of internal organs, crop, oesophagus, gizzard and intestine grow up to 12 weeks of age, after which they develop their physiological ability. The structure, weight and length of the digestive tract and other internal organs of pheasants depend on housing system, gender and nutrition. Relatively few investigations were conducted to determine the influence of feed additives on fattening performance of pheasants. One of the possibilities is the use of humic acids in nutrition pheasant. Humic acids are organic compounds naturally present in soil and they positively affected growth ability, feed conversion and reducing mortality.
A Case Report of Sarcoptes scabiei Infection in Ahwaz, Iran

prevalence of Sarcoptes in rural areas has been investigated by many investigators. Sarcoptes infestation in areas with poor education and hygienic is higher than urban areas. In this study, one severe case of Sarcoptes scabiei in- festation is described from a four months old child. Confirmation of scabies was done by clinical examination of child and by the identification of the mite by microscopically examining scrapings from the scabies lesions. The prevalence of scabies is high in children in rural regions, suggesting that it is a serious public health problem. This phenomenon may be due to the fact that certain environmental conditions such as overcrowding, poor personal hy- giene, poverty, and ignorance, which are conducive to the spread of scabies, tend to be quite common in rural re- gions. Control programs should be put in place and implemented in an integrated manner, by reducing overcrowding, and by improving health education, personal hygiene, treatment and surveillance among high-risk populations.
Use of Multitemporal Indexes in the Identification of Forest Fires - A Case Study of Southern Chile

When mapping burned areas, the use of indexes such as: NDVI, NDII, SAVI, GEMI and IAQ (BAI)allow the classification of vegetation status, of which the IAQ index has been designed to clearer identification of areas affected by fires. Another alternative is the multitemporal analysis, which detects changes from one image already classified to another, corresponding to the same surface on different dates. The common denominator applies both techniques separately in order to take advantage of the characteristics of a classified image. Therefore, the current study aims to combine multi-temporality and different indexes to integrate both characteristics and facilitate the identification of burned areas. The study area is located in southern Chile with the corresponding dates from January 15 to 30,2017, where fires consumed much of the endemic forestation of the area. The methodology applied has been based on obtaining and correcting Landsat 8 satellite images prior and after the event. Following this, the different indexes have been calculated to apply the change detection. Thereafter, the results have been integrated to make a multitemporal RGB combination of the new bands where, in the red quill corresponds to the indexes before the event, the green quill to the indexes after the event and the blue quill to the multitemporal difference. As a result of the multi-temporal index combinations, the outstanding index is the SAVI-Multitemporal, which allows 93% visual discrimination of the areas affected by the fires, unlike the SAVI, BAI, GEMI, BAI indexes -Multitemporal and GEMI-Multitemporal with a percentage of discrimination of about 73.33%, 66.67%, 80%, 20% and 86.67%, respectively. Finally, we identified that 157,116,173 hectares of forest have been affected by the fires that occurred in Chile in the studied time period.
Automatic Pollen Grains Counter

This paper deals with the problem of counting the amount of pollen grains (density of pollen) in a view acquired on a daily basis by a dedicated device. The grains are stuck on a ribbon which is analyzed by a microscope. This task is currently performed by a human operator who has to analyze quite 300 microscopic slides representing 10% of the ribbon. This task requires a particularly high concentration. Moreover, the viewer has to identify the pollen grains among water drops and soot spots. We propose an algorithm composed of four main steps to perform this task automatically. The basic detection of pollen grains, relying on their shape and color, is completed by pre-processing and post-processing operations to handle specific cases like broken grains or grains at the border of images. Finally the efficiency is improved by using a neural network to refine the results. Our automatic counter has been compared with the pollen density obtained by the manual counting and our program has proved its high accuracy.
Positivity of global branches of fully nonlinear elliptic boundary value problems

We consider a bifurcation problem for a general class of fully nonlinear, second-order elliptic equations on a regular bounded domain in R n and subject to homogeneous Dirichlet boundary data. We assume that the linearized problem about the trivial solutions possesses a positive solution for at least one isolated parameter value. With no other growth or sign conditions imposed upon the nonlinearity, we establish the existence of a global branch of nontrivial positive solutions. Moreover, if there is only one such isolated value of the parameter, we deduce that the branch of positive solutions is unbounded
Measuring caring : international research on caritas as healing

Jean Watson's Theory of Human Caring (Caritas) is now used in approximately 300 clinical institutions in the United States and other institutions worldwide. This new addition to Springer's Watson Science Caring Institute Library is the first international compendium of Caritas research. Presenting the findings of 41 studies from 12 countries, it examines similarities and differences in the ways in which countries apply Watson's Theory regarding relationships between nurses and patients, and nurses and their colleagues, and how it is used to resolve outcome issues system-wide. The book also includes the Caring Factor Survey, a primary research tool for those using the Caritas process, which identifies constructs that either support or impede caring in multiple settings. It is offered, along with five adaptations, for use as a written or digital adjunct. The volume serves as a complement to Watson's Assessing and Measuring Caring in Nursing and Health Care as well as the forthcoming Creating a Caring Science Curriculum: An Emancipatory Pedagogy for Nursing. A co-publication with the Watson Caring Science Institute, this volume: Comprises the first international research compendium on using Watson's Theory of Caring in health care institutions. Presents cutting-edge tools derived from the Caring Factor Survey for measuring caring in multiple contexts Serves as a primary resource for nurse leaders, managers, and administrators in academia including unit managers, and for hospitals with or seeking Magnet status Documents intervention outcomes in each country Discusses similarities and differences in caring contexts across countries Designed for use by graduate educators and students and nursing leaders Includes Caring Factor Survey tools in digital form
Size, physiological quality, and green seed occurrence influenced by seeding rate in soybeans

A densidade de semeadura, por influenciar na competicao intraespecifica, pode afetar o desenvolvimento e a qualidade das sementes de soja produzidas. Entretanto, o impacto da densidade de semeadura sobre a qualidade fisica e fisiologica das sementes de soja precisa ser melhor elucidado. Objetivou-se avaliar os efeitos da densidade de semeadura sobre o tamanho das sementes produzidas e a interacao entre a densidade de semeadura e o tamanho das sementes sobre a massa, a ocorrencia de sementes verdes e a qualidade fisiologica das mesmas. O experimento foi conduzido nas safras 2013/14 e 2014/15, em um Latossolo Vermelho distroferrico, sob o delineamento de blocos casualizados, utilizando-se a cultivar NK7059 RR, com seis repeticoes. Os tratamentos consistiram de quatro densidades de semeadura (150, 300, 440 e 560 mil sementes viaveis ha-1). Apos a classificacao em peneiras das sementes produzidas, adotou-se o esquema fatorial 4 x 4, com 4 densidades e 4 tamanhos de sementes. Avaliaram-se a massa de mil sementes, porcentagem de sementes verdes, germinacao e vigor. O aumento na densidade de semeadura reduz a porcentagem de sementes verdes e incrementa o tamanho e a massa de sementes, em condicoes de estresse termico e hidrico durante a fase de formacao das mesmas. O tamanho e massa de sementes nao sao alterados pela densidade de semeadura na ausencia de estresse termico e hidrico e, nesses casos, nao ha ocorrencia de sementes verdes de soja.
The Build of Tourism Well-being Index System

The pursuit of happiness in life is our ultimate goal. In recent years, with the increasing income and leisure time, together with changes in consumer attitudes, tourism has become an important part in people's lives. This study constructed a model of tourism well-being index. Tourist well-being index includes comfortable, affordable, safe, novelty, satisfaction, a sense of worth and sense of happiness. In together they constitute tourist happiness index indicators. Rationally regulating the content of each index to build a comprehensive and easy-measured tourism Index System can not only improves the tourism discipline system and develops the tourism economy, but also has more important guiding significance for how to improve the national tourism well-being index.
Predictive Maintenance and Performance Optimisation in Aircrafts using Data Analytics

Airline industry has provided a significantly conventional, faster and reliable mode of transportation for passengers and freight over the decades in which the industry has been in service despite the pressure being applied especially in maintaining operational affordability. The study critically reviews the techniques and tools, infrastructure and general application architecture for discussing the applicability of data analytics based on both batch processing and real time stream data in general aviation for health monitoring and predictive analysis in order to predict maintenance and optimize the performance of aircrafts. In this respect, the study further evaluates the significant capability in addressing contemporary problems which are uniquely addressed by data analytics system.
The Experiences of Youth Who Identify as Trans* in Relation to Health and Social Care Needs: A Scoping Review

There is an increased interest in the experiences of youth who identify as trans* to promote individual human rights and provide socially inclusive health and social care. This scoping review aimed to explore the experiences of youth who identify as trans*. A full search of relevant electronic databases was undertaken from the years 2006 to 2016. The search resulted in 1,656 hits and following the application of rigorous criteria, 20 papers were included in the final review. Date extraction was executed by two of the authors and a quality assessment tool was used to review the papers. The data were analyzed, and the key themes that emerged included the following: stigma, discrimination, and mental health; family relationships and supports; educational concerns; health care experiences; and vulnerability and health risks. The findings from the review are discussed, and the implications for policy, research, education, and practice are highlighted.
Equidistribution and the heights of totally real and totally p-adic numbers

C.J. Smyth was among the first to study the spectrum of the Weil height in the field of all totally real numbers, establishing both lower and upper bounds for the limit infimum of the height of all totally real integers and determining isolated values of the height. Later, Bombieri and Zannier established similar results for totally p-adic numbers and, inspired by work of Ullmo and Zhang, termed this the Bogomolov property. In this paper, we use results on equidistribution of points of low height to generalize both Bogomolov-type results to a wide variety of heights arising in arithmetic dynamics.
Corporate Finance and Risky Inalienable Human Capital

We analyze a dynamic optimal contracting model where the entrepreneur has risky inalienable human capital and investors have limited liability protection. The inabilities for the entrepreneur and investors to commit generate signicant distortions for corporate investment, nancing, and risk management decisions and inuence corporate valuation. We show that corporate risk management and liquidity management are critical components of optimal corporate nancial policies. We derive endogenous debt capacity that ties to the entrepreneur? s risky inalienable human capital. We show that investment dynamics is highly nonlinear especially when the rm? s liquidity is low. Investment distortions via asset sales are critical parts of risk management for rms
The Effect of Comprehensible Input and Comprehensible Output on the Accuracy and Complexity of Iranian EFL Learners’ Oral Speech

This study aimed at investigating the relative impact of comprehensible input and comprehensible output on the development of grammatical accuracy and syntactic complexity of Iranian EFL learners’ oral production. Participants were 60 female EFL learners selected from a whole population pool of 80 based on the standard test of IELTS. To investigate the research questions, the participants were randomly divided into three groups: Input group, output group, and control group. The study involved two phases: the pre-task phase, and the main-task phase. During the pre-task phase, the input group received comprehensible input. In the same phase, the output group was pushed to be engaged in comprehensible output production. The control group neither received input, nor was engaged in output production. In the main-task phase, all subjects performed monologues that were separately recorded, and later transcribed and coded in terms of accuracy and complexity through Bygate's (2001) standard coding system and finally scored. The statistical analysis of the results revealed that while the output group outperformed the input group in grammatical accuracy, the input group proved to be more rigorous and influential in developing speech complexity. The study supports Swain’s (1985) claim that there are roles for comprehensible output that are different from and independent of comprehensible input, and Skehan & Foster's (2001) theory regarding human beings’ limited attentional capacities that can be devoted to one aspect of oral speech at the expense of the other. Generally, it is implied that the most effective way for improving oral speech, based on the literature and the results obtained from this study, is an eclectic approach which conflates both comprehensible input and comprehensible output.
Password-Based Authenticated Key Exchange Based on Signcryption for the Internet of Things

Password-based Authenticated Key Exchange (PAKE) is an attractive solution for secure authentication and key agreement between two parties over insecure networks by using only a human-memorable password. Introduced by Bellovin, the approach has been receiving much attention from researchers and motivating many follow-up works. In this paper, we introduce a new paradigm of designing PAKE protocols using signcryption scheme. The proposed protocol, called Password-based Signcryption Key Exchange (PSKE), not only formally fulfills all security requirements but also is able to provide outstanding computational efficiency over some patented protocols, which target two-party setting such as EKE, J-PAKE, and SRP. These features make PSKE suitable for remote user authentication in the Internet of Things (IoT) context where remote users need to authenticate to IoT devices before securely retrieving real-time raw data at any time from these devices.
Towards More Scalable and Secure LPWAN Networks Using Cryptographic Frequency Hopping

The Internet of Things (IoT) vision has recently given rise to low-power wide area networks(LP-WAN) which offer multi-km communication range. Ericsson and Cisco Internet Business Solutions Group (IBSG) predict that by 2025, more than 50 billion devices will be connected through LPWAN technologies to collect real world data [1]. LoRaWAN is being deployed by many countries around the globe and gaining rapid acceptance and popularity in the LPWAN space. LoRa technology has enabled a new type of low data-rate services that are suitable for wide geographical areas with several years of battery life. However, the technology has limitations that need to be addressed. The high-density development of end devices transmitting using uncoordinated messaging makes the network more vulnerable to selective jamming and network contention. This paper proposes a solution to mitigate these effects through secure random frequency selection on end devices(i.e. cryptographic frequency hopping). In particular, proper time, spreading factor (SF) and frequency selection may allow multiple unconfirmed communications to occur concurrently while minimizing opportunities for contention and jamming. This was done by implementing cryptographic frequency hopping technique to select N-possible number of evenly optimized channels from available frequency spectrum (EU863-870MHz). The results were implemented and evaluated using commodity hardware.