Miracle-dz/UniFAR-FTUs huggingface dataset:
Range values for external and internal intensity monitoring in female soccer players: A systematic review

Background The range values of different training and match intensity measures obtained to define benchmarks in female soccer players are needed. Usually, cohort studies analyse only one team with a relatively small sample size, which brings forth the need for a systematic review to generalise training and match intensity evidence. Objectives This review aimed to identify and summarise studies that have examined external and internal training or match intensity monitoring to provide range values for the main measures in female soccer players. Methods A systematic review of EBSCO, PubMed, Scielo, Scopus, SPORTDiscus and Web of Science databases was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results From the 2853 studies searched, 44 were analysed in which the following range intervals were found for training: rated perceived exertion (RPE, 1–7 AU), session-RPE (s-RPE, 51–721 AU), total distance (2347–6646 m) and distance >19.4 km·h−1 (9–543 m). For matches, the range values were s-RPE (240–893 AU), total distance (5480–10581 m), distance ≥14 km·h−1 (543–2520 m), ≥ 18 km·h−1 (96–1680 m), number of accelerations (49–240) and deceleration (21–85) and player load (848–1096 AU). Conclusions This study provides range values of s-RPE, RPE, TRIMP, total distance and distance >19.4 km·h−1 regarding training; range intervals of s-RPE, heart rate average and maximum, total distance, distance ≥ 14 km·h−1, ≥ 18 km·h−1, ACC and DEC (> 2 ms−2) regarding matches for professional female players that can be used by coaches, practitioners or researchers to achieve similar training and competitive levels.
Polyhedral Tools for Control

Polyhedral operations play a central role in constrained control. One of the most fundamental operations is that of projection, required both by addition and multiplication. This thesis investigates projection and its relation to multi-parametric linear optimisation for the types of problems that are of particular interest to the control community. The first part of the thesis introduces an algorithm for the projection of polytopes in halfspace form, called Equality Set Projection (ESP). ESP has the desirable property of output sensitivity for non-degenerate polytopes. That is, a linear number of linear programs are needed per output facet of the projection. It is demonstrated that ESP is particularly well suited to control problems and comparative simulations are given, which greatly favour ESP. Part two is an investigation into the multi-parametric linear program (mpLP). The mpLP has received a lot of attention in the control literature as certain model predictive control problems can be posed as mpLPs and thereby pre-solved, eliminating the need for online optimisation. The structure of the solution to the mpLP is studied and an approach is pre- sented that eliminates degeneracy. This approach causes the control input to be continuous, preventing chattering, which is a significant problem in control with a linear cost. Four new enumeration methods are presented that have benefits for various control problems and comparative simulations demonstrate that they outperform existing codes. The third part studies the relationship between projection and multi-parametric linear programs. It is shown that projections can be posed as mpLPs and mpLPs as projections, demonstrating the fundamental nature of both of these problems. The output of a multi-parametric linear program that has been solved for the MPC control inputs offline is a piecewise linear controller defined over a union of polyhedra. The online work is then to determine which region the current measured state is in and apply the appropriate linear control law. This final part introduces a new method of searching for the appropriate region by posing the problem as a nearest neighbour search. This search can be done in logarithmic time and we demonstrate speed increases from 20Hz to 20kHz for a large example system.
Dative alternation in Brazilian Portuguese: typology and constraints

The aim of this paper is to contribute to the discussion on dative alternation in natural languages. Dative alternation in BP shows four structural possibilities: VP[V SN1 PP]; VP [V PP SN1]; VP [V SN1 SN2]; VP [V SN2 SN1]. These configurations involve two independent but related processes: variable position of the complement within the VP and variable use of the preposition in the dative complement. These processes are independent in the sense that the use of the preposition is possible with both positions of the indirect complement. They are related in the sense that adjacency of the complement to the verb tends to favor absence of the preposition. We posit that the four observed configurations can be treated as a variable process in the sense of Labov (1972) and investigate the variable position of the complement within the VP and the variable use of preposition. For complement position, we examine competing structural constraints such as size, structural complexity, and certain semantic properties (material or perceptual transfer between complements) of both the accusative and dative complements as well as discourse level constraints such as given/new information in the dative complement. Diachronic data show that the synchronic configurations are the effect of a process of change that involves the decline of the IO DO order. Variable use of the preposition is constrained by adjacency and semantic properties of the verb. Dative alternation in BP exhibits characteristics related to increase of abstractness following the pattern proposed by Heine (1981).
An adaptive approach to the range‐only station‐keeping problem

With the use of concepts from switched adaptive control theory plus a special parameterization of the class of 2 × 2 nonsingular matrices, a tractable and provably correct solution is given to the three landmark station‐keeping problems in the plane in which range measurements are the only sensed signals upon which station keeping is to be based. The performance of the overall system degrades gracefully in the face of increasing measurement and misalignment errors, provided that the measurement errors are not too large. Copyright © 2012 John Wiley & Sons, Ltd.
Two-Material Ridged Substrate Integrated Coaxial Line for Monomode Bandwidth Improvement

The ridged substrate integrated coaxial line (RSICL) supports transverse electromagnetic (TEM) wave with small size, broadband, and good shielding performance. This article presents a two-material RSICL, which has two different dielectric materials filled in its substrate layers. Compared with the conventional RSICL with only one dielectric material, the two-material RSICL shows a higher cutoff frequency of the first higher order mode. Hence, the monomode bandwidth of the two-material RSICL can be improved accordingly. Based on the printed circuit board (PCB) process, the two-material RSICL with feeding structures is designed and fabricated. In the experiment, the first two-order modes of the two-material RSICL are excited with two types of transitions. The measured monomode bandwidth of the two-material RSICL is from dc to 44 GHz, which is 14.9% wider than that of the one-material RSICL.
Metabolic profiling of Kaempferia galanga leaf and rhizome extract using GC-MS

Kaempferia galanga Linn. is an endangered rhizomatous medicinal plant belonging to the Zingiberaceae family. It has evolved as an emerging industrial crop and dominates pharma as well as aroma sector. Though the extracts of this species have been extensively used in herbal medicine across the globe for the treatment of numerous diseases, but still the composition of the extract is not characterized properly. Thus, methanol extracts of K. galanga leaves and rhizomes were subjected to phytochemical screening, total phenolic content (TPC), total flavonoid content (TFC), and Gas Chromatography-Mass Spectrometry (GC-MS) to analyze the phytoconstituents. Leaf extract contained more TPC and TFC values as compared to rhizome extract. A total of eight and ten compounds were identified in the leaf and rhizome extract accounting for 61.44% and 96.97% of the total peak area respectively. Ethyl p-methoxycinnamate was found as the main constituent in rhizome extract covering 80.39% of the total area. Other important compounds like ethyl cinnamate (9.61±0.45%), pentadecane (3.12±0.2%) were also found in the rhizome extract, whereas leaf extract contained 2-(3,4-dimethoxyphenyl)-7-hydroxy-3-methoxy-4H-chromen-4-one (18.26%), 2-(3-hydroxy-4- methoxyphenyl)-3,7-dimethoxy-4H-chromen-4-one (14.01%), octamethylcyclotetrasiloxane (11.79%). The study indicated that K. galanga is a good source of phytoconstituents which can be used at the industrial level to produce pharmaceuticals, perfumes and flavouring agents.
Role of a ZF-HD Transcription Factor in miR157-Mediated Feed-Forward Regulatory Module That Determines Plant Architecture in Arabidopsis

In plants, vegetative and reproductive development are associated with agronomically important traits that contribute to grain yield and biomass. Zinc finger homeodomain (ZF-HD) transcription factors (TFs) constitute a relatively small gene family that has been studied in several model plants, including Arabidopsis thaliana L. and Oryza sativa L. The ZF-HD family members play important roles in plant growth and development, but their contribution to the regulation of plant architecture remains largely unknown due to their functional redundancy. To understand the gene regulatory network controlled by ZF-HD TFs, we analyzed multiple loss-of-function mutants of ZF-HD TFs in Arabidopsis that exhibited morphological abnormalities in branching and flowering architecture. We found that ZF-HD TFs, especially HB34, negatively regulate the expression of miR157 and positively regulate SQUAMOSA PROMOTER BINDING–LIKE 10 (SPL10), a target of miR157. Genome-wide chromatin immunoprecipitation sequencing (ChIP-Seq) analysis revealed that miR157D and SPL10 are direct targets of HB34, creating a feed-forward loop that constitutes a robust miRNA regulatory module. Network motif analysis contains overrepresented coherent type IV feedforward motifs in the amiR zf-HD and hbq mutant background. This finding indicates that miRNA-mediated ZF-HD feedforward modules modify branching and inflorescence architecture in Arabidopsis. Taken together, these findings reveal a guiding role of ZF-HD TFs in the regulatory network module and demonstrate its role in plant architecture in Arabidopsis.
DEVELOPING A PRIVACY-AWARE MAP-BASED CROSS-PLATFORM SOCIAL MEDIA DASHBOARD FOR MUNICIPAL DECISION-MAKING

Abstract. Social media (SM) has become a principal information source and the vast amounts of generated data are increasingly used to inform various disciplines. Most platforms, such as Instagram, Twitter or Flickr, offer the option to tag a post with a location or a precise coordinate, which also fosters applications of data in the geospatial fields. Notwithstanding the many ways in which these data could be analyzed and applied, scandals such as Cambridge Analytica have also shown the risks to user privacy that seem inherently part of the data.Is it possible to mitigate these risks, while maintaining the collective usability of this data for society questions? We identify urban planning as a key field for socio-spatial justice and propose an open source map-based cross-platform dashboard, fueled by geospatial SM, as a supporting tool for municipal decision-makers and citizens alike. As a core part of this tool, we implement a novel privacy-aware data structure that allows for both, a more transparent, encompassing data ground for municipalities, and a reduced data collection footprint, preventing the misuse of data or compromising user privacy.
Tracking plan implementation using elected officials’ social media communications and votes

Plans can only impact practice when elected officials adopt, enact, and approve funding for specific strategies. We explore ways to track implementation from the planning documents to elected officials’ priorities and to their voting patterns to identify the consistencies and gaps that may limit the impact of plans. We use Twitter data mining, text content analysis, and voting records from the digitized council minutes in Calgary, Alberta, between the 2017 municipal election and the last quarter of 2020. We connect the expressed preferences to votes for each councilor over the study period. On the two most salient topics—transit and affordable housing—those who expressed support on Twitter also supported investments. With one exception of an anti-tax councilor, over time, the rest of the councilors reached agreements on public investments (supra-local funding lightened the financial burdens for the city facilitating “yes” votes). Planners can derive meaningful information from the elected officials’ social media communication, such as concerns and support for specific planning initiatives, to promote successful plan implementation. This information can also enhance voters’ awareness of local officials’ views and actions on planning initiatives.
Evaluating the Technical and Environmental Capabilities of Geothermal Systems through Life Cycle Assessment

In these days of heightened environmental consciousness, many countries are shifting their focus towards renewable energy sources for both large-scale uses (such as power plants that generate electricity) and smaller-scale applications (e.g., building heating and cooling). In this light, it is not surprising that there is a growing interest in technologies that are reliant on non-conventional sources of power, such as geothermal energy. This study is making an effort to provide a comprehensive understanding of the possible advantages and multiple uses of geothermal energy systems, in the context of their technical and environmental evaluation through Life Cycle Assessment. A brief description of the analyzing methods and the tools used to study a particular system or application is presented. The geothermal technologies and the applications of specific systems are discussed in detail, providing their environmental advantages and their technical barriers as well. District and domestic heating systems cover a significant fraction of the geothermal energy potential. The majority of the discussed studies cover the electricity production as the most important application of geothermal energy. The overall conclusion of the current work is that geothermal energy is an extremely viable alternative that, combined with other renewable energy systems, may mitigate the negative effects of the existing energy mix worldwide.
Effect of Surface Texture on the Steady-state Characteristics of Journal Bearing and Its Comparisons

: The journal bearing has been an important mechanical part of the mechanical system, and over the decade's researchers have been investigating how to analyse and enhance its performance. In order to improve the bearing performance, the surface texture and texture shape have the potential to improve its performance efficiently. Therefore, the present paper investigates the effect of different types of texture such as elliptical, cylindrical for the steady-state characteristics of journal bearing. It has been found that the incorporation of texture on the inner side surface of the bearing has a significant influence on the steady-state characteristics of the bearing. The resultsare obtained in terms of non-dimensional Sommerfeld number (S), attitude angle (ф), friction variable (µ), and flow coefficient (q z ), by using the finite difference method and Gauss-Seidel method. The successive over-relaxation (SOR) technique has been applied to satisfy the boundary conditions. The obtained reluts show the improvement in tribological performance of the bearing characteristics through incorporation of texture. In addition, a comparative analysis of textured bearings i.e., elliptical, cylindrical is also done withplain journal bearing. It has been investigated that elliptical surfacestexturehas superior performance in contrast to cylindrical and plain textures.
Material for “Calibrated Adversarial Algorithms for Generative Modeling”

We provide several comments. First, the same result was previously obtained as Proposition 3.1 in Uehara et al. (2016), using Bregman divergences of density ratios. As shown in our proof, this result can also be deduced directly from the variational lower bound ofDf(p∗||pθ) in Nowozin et al. (2016). Second, from Proposition S1, we also see that Kf(θ, β) is a proper objective function in training discrimination model (3) for any fixed θ. In other words,−Lf(y,Dβ) in (9) is a proper scoring rule for binary classification Buja, Stuetzle, and Shen (2005), which is defined as a loss function satisfying the consistency condition: the expected loss,−E{Lf(y,Dβ)|x} = − 1 2Kf(θ, β), is minimized overDβ(x) at the true probabilityD ∗(x) = P(y = 1|x). Therefore, the objectiveKf(θ, β) provides a direct link between f-divergences for probability density estimation and proper scoring rules (or losses) for estimation of binary response probabilities. Such connections are also discussed in Mohamed and Lakshminarayanan (2017). Third, we list several common divergences and the corresponding discrimination losses in Table S1. As mentioned in the paper, use of the log-likelihood loss for discrimination leads to GAN and hence the following divergence Goodfellow et al. (2014)
A Comparative Study to Predict Student’s Performance Using Educational Data Mining Techniques

Student’s performance prediction is essential to be conducted for a university to prevent student fail. Number of student drop out is one of parameter that can be used to measure student performance and one important point that must be evaluated in Indonesia university accreditation. Data Mining has been widely used to predict student’s performance, and data mining that applied in this field usually called as Educational Data Mining. This study conducted Feature Selection to select high influence attributes with student performance in Department of Industrial Engineering Universitas Islam Indonesia. Then, two popular classification algorithm, Bayesian Network and Decision Tree, were implemented and compared to know the best prediction result. The outcome showed that student’s attendance and GPA in the first semester were in the top rank from all Feature Selection methods, and Bayesian Network is outperforming Decision Tree since it has higher accuracy rate.
“Maladies of Infinite Aspiration”: Smartphones, Meaning-Seeking, and Anomigenesis

Smartphones have become a ubiquitous part of everyday life, and attachment to these devices is a felt reality for many Americans. This paper describes the link between smartphone attachment and the pursuit of meaning and purpose in life. Analyses reveal meaning-seeking as a positive correlate of smartphone attachment. However, while interaction effects suggest that meaning-seeking through heavy social media and Internet use decreases the odds of smartphone attachment, meaning-seeking is strongly related to attachment at lower levels of daily media use. Also, having a satisfying life purpose decreases the odds of smartphone attachment, though this protective effect is not as strong as meaning-seeking in the final models. We conclude that smartphone attachment, within a context of latent anomie, could be anomigenic, inadvertently exacerbating feelings of despair while simultaneously promising to resolve them. Findings provide a sociological link between smartphone attachment and the negative psychosocial outcomes described in the literature.
An ıntelligent system for detecting Mediterranean fruit fly [Medfly; Ceratitis Capitata (Wiedemann)]

Nowadays, the most critical agriculture-related problem is the harm caused in fruit, vegetable, nut, and flower crops by harmful pests, particularly the Mediterranean fruit fly, Ceratitis capitata, named in short as Medfly. Medfly existence in agricultural fields must be monitored systematically for effective combat against it. Special traps are utilized in the field to catch Medflies which will reveal their presence, and applying pesticides at the right time will help reduce their population. A technologically supported automated remote monitoring system should eliminate frequent site visits as a more economical solution. In this paper, a machine learning system that can detect Medfly images on a picture and count their numbers is developed. A special trap equipped with an integrated camera that can take photos of the sticky band where Medflies are caught daily is utilized. Obtained pictures are then transmitted by an electronic circuit containing a SIM card to the central server where the object detection algorithm runs. This study employs a faster region-based convolutional neural network (Faster R-CNN) model in identifying trapped Medflies. When Medflies or other insects stick on the sticky band of the trap, they continue to spend extraordinary effort trying to release themselves in a panic until they die. Therefore, their shape is badly distorted as their bodies, wings, and legs are all buckled. The challenge here is that the machine learning system should detect these Medflies of distorted shape with high accuracy. Therefore, it is crucial to utilize pictures that contain trapped Medfly images that possess distorted shapes for training and validation. In this paper, the success rate in identifying Medflies when other insects are also present is approximately 94% that is achieved by the machine learning system training process, owing to the considerable amount of purpose-specific photographic data. This rate may be seen as quite favorable when compared to the success rates provided in the literature.
Intertwine Connection-Based Routing Path Selection for Data Transmission in Mobile Cellular Networks and Wireless Sensor Networks

In a network setting, a sensor node's round-trip delay time over hostile nodes compromises the node's ability to transmit data from the sender node to the destination node. Minimum distance path discovery causes the path failure, since aggressive nodes are available. Node connectivity is poor which should cause the packet loss; it does not control more energy consumption, since packet broadcasting is repeated for many times using that path. So, the proposed intertwine connection-based routing path selection (ICBRPS) technique allows only energy efficient routing path, path connectivity is important, and routing path is damaged because of the presence of aggressive nodes. It hacks the information from sensor and operates unpredictable manner. The objective of this presented ICBRPS scheme is to improve the routing path in efficient manner. If any damages occur during the transmission of data, then the alternate best node connectivity path is created by energetic route discovery method. The performance metrics of parameters are delay, network overhead, energy consumption, packet loss, packet delivery ratio, and connectivity ratio. It enhances the connectivity rate and reduces the energy consumption.