Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of long-term training adaptation on isokinetic strength in college male volleyball players

Background and Study Aim: Most of this study focused on endurance, power, and anthropometric measurements but no research declared isokinetic strength changes during two years. The purpose of this study was to assess the effect of resistance exercises on two seasonal alters in isokinetic strength of knee muscles at different angular velocities, in college volleyball players. Material and Methods: Thirteen college volleyball players, (age: 21.75 years, body mass: 78.60 kg, and height: 187.0 cm) participated in the study. All college volleyball players take part in the two-year (8 month each year) volleyball-specific training and competitions. The measurement of peak isokinetic concentric knee extension and knee flexion torque in both legs were taken at 2 angular velocities of movement, low at 60° s-1, and intermediate at 180° s-1. Results: The pre- and post-test values of the peak isokinetic strength found that statistical significance difference, at 60° s-1 and 180° s-1 for knee extensor-flexor both dominant and non-dominant in favor of post-tests. Significant enhances were observed in the baseline dominant knee extensor-flexor muscle strength (extensor knee strength 60° s-1: 19.0%, 180° s-1: 20.5%, flexor knee strength, 60° s-1: 33.4%, 180° s-1: 31.4%) respectively. Non-dominant knee extensor-flexor muscle strength increased significantly over the two-year period (extensor knee strength 60° s-1: 21.3%, 180° s-1: 23.0%, flexor knee strength, 60° s-1: 37.4%, 180° s-1: 33.9%) respectively. Conclusion: As a result, our data suggests that the two-year planned program of specific volleyball and resistance training can increase the knee muscle extensor-flexor strength and H:Q ratios of volleyball players. Especially, at a 60° s-1 and 180° s-1 angular velocities, whilst the knee muscle extensor-flexor strength and H:Q ratios for dominant and non-dominant legs were increasing, also H:Q ratios disproportion were decreasing. Therefore, these alters indicated that regular specific-volleyball and resistance training can increase knee muscle extensor-flexor strength and H:Q ratios for dominant and non-dominant legs.
Electrodeposition of indium on W and Cu electrodes in the deep eutectic solvent choline chloride-ethylene glycol (1_2)

A procedure for drying the deep eutectic solvent (DES) choline chloride ethylene glycol, ChCl-EG (1:2), based on the use of molecular sieves has been developed, being the final water content of the electrolyte 145± 5 ppm. In this dried DES, the stability of InCl and InCl3 as well as the electrochemical behaviour of their solutions has been investigated using electrochemical techniques, X-ray diffraction analysis (XRD) and scanning electron microscopy (SEM). Experiments performed under a N2 atmosphere show that InCl3, dissolved in the rich chloride media as InClp, is reduced on a tungsten electrode to indium metal via only one electrochemical step. Conversely, InCl undergoes the following disproportionation reaction when dissolved in the eutectic ChCl-EG (1:2) + − ⇌ + − − ( ) ( ) ( ) 3InCl s p 3 Cl 2In 0 InClp p generating In(0) and giving place to identical electrochemical signals as those obtained after the addition of InCl3 to the DES. On a tungsten electrode, nucleation and crystal growth of In plays an important role in the electrodeposition process. Chronoamperometric results were consistent with instantaneous three dimensional nucleation on a finite number of active sites with diffusion controlled growth of the nuclei, whatever the applied overpotential and temperature. Mass transport towards the electrode is a diffusion process, and the following empirical expression for the temperature dependence of the diffusion coefficient was calculated. = − ± ± − ( . . )–( ) 1 LnD 3 58 0 22 3665 76 T The electro-reduction of In(III) solutions was also investigated at a copper substrate. The resulting cyclic voltammograms evidenced the formation of In-Cu intermetallic compounds. Hence, In-Cu alloy films were obtained by continuous potentiostatic electrolysis and intensiostatic pulse electrolysis. The obtained samples, characterized by XRD and SEM, revealed the formation of the metastable CuIn phase that could be transformed into Cu11In9 by thermal annealing.
Performance Evolution Matrix: Visualizing Performance Variations Along Software Versions

Software performance may be significantly affected by source code modifications. Understanding the effect of these changes along different software versions is a challenging and necessary activity to debug performance failures. It is not sufficiently supported by existing profiling tools and visualization approaches. Practitioners would need to manually compare calling context trees and call graphs. We aim at better supporting the comparison of benchmark executions along multiple software versions. We propose Performance Evolution Matrix, an interactive visualization technique that contrasts runtime metrics to source code changes. It combines a comparison of time series data and execution graphs in a matrix layout, showing performance and source code metrics at different levels of granularity. The approach guides practitioners from the high-level identification of a performance regression to the changes that might have caused the issue. We conducted a controlled experiment with 12 participants to provide empirical evidence of the viability of our method. The results indicate that our approach can reduce the effort for identifying sources of performance regressions compared to traditional profiling visualizations.
CONSEQUENCES OF GROUP COMPOSITION FOR THE I NTERPERSONAL DYNAMICS OF STRATEGIC ISSUE PROCESSING

The upper echelons perspective for studying strategic leadership has drawn attention to how the composition of top management teams can influence nizational outcomes. A strategic issue processing perspective would lenient current research on top management team composition by improving our understanding of the processes through which composition has its effects. The r echelons and strategic issue processing perspectives are described. Then, research relevant to the latter perspective is reviewed and propositions the role of group composition in strategic issue processing are posed. result of pushing back the boundaries that now define strategic leadership arch, many new questions and challenges are brought to light.
Extending the durability of old books by atomized deacidification and reinforcement treatments

Old books suffer from aging and deterioration spurred by acidification, oxidation, and other factors. To preserve these important historical documents, it is important to implement deacidification and reinforcement methods to extend their durability. In this study, microdroplets of 75 g/L sodium hydroxide solution were atomized before being utilized to neutralize acidity in the paper. As well, styrene acrylic latex was diluted to 10 times for atomization to function as a reinforcing agent. In addition to studying these methods individually, the effects of simultaneous deacidification and reinforcement were also studied.
Touch dynamics for affective states recognition: your smartphone knows how you feel since you unlock it

Touch Dynamics is the behavioral biometric trait that regards how the user interacts with devices equipped with touch displays, the dynamic patterns drawn through the swipe movement can be used to identify the user who is accessing the smartphone. In this paper we investigated whether the same data could be used also to recognize some emotional states. To this aim, an Android App was designed to simulate the unlock patterns and collect data needed to calculate numeric features that have been used not only for identification purposes but also to classify three negative affective states: anxiety, stress and depression. Results obtained so far are encouraging and indicate that Random Forest is capable to reach good classification accuracy both on touch numerical features and on negative emotional states classification also exploiting behavior information such the hand and the finger used in the execution. Keywords—touch dynamics, swipe features, affective classification, emotions, machine learning.
Facial Feature Detection despite of the disguise

This paper proposes a multiple histograms-based approach for detecting facial organs from a color image, which is resist to some changes, e.g., wearing glasses, having a beard, facial expressions, or face scaling, translation, slight rotation, and partially invariant to illumination changes. The multiple histograms include skin color similarity, hair color similarity, and edge strength and edge orientation. By using these histograms, we can detect the exact face region that only contains all facial organs. And then we will check the possibility that a person is wearing glasses, by using the Chebyshev inequality of ratio values of the edge and skin color information in the cheek area and the outside area of eyes. Judging from the result above, we detect the rectangle of facial organs by different algorithms. In order to acquire a stable and exact extraction result, after predicting the organ’s position from the information of both the exact face region and the detected facial organs based on the facial geometric relationship, we decide the facial features by using those histograms. The extensive experiments over many real images and AR face database [1] demonstrate the robustness of our method.
GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images

At the core of most three-dimensional alignment and tracking tasks resides the critical problem of point correspondence. In this context, the design of descriptors that efficiently and uniquely identifies keypoints, to be matched, is of central importance. Numerous descriptors have been developed for dealing with affine/perspective warps, but few can also handle non-rigid deformations. In this paper, we introduce a novel binary RGB-D descriptor invariant to isometric deformations. Our method uses geodesic isocurves on smooth textured manifolds. It combines appearance and geometric information from RGB-D images to tackle non-rigid transformations. We used our descriptor to track multiple textured depth maps and demonstrate that it produces reliable feature descriptors even in the presence of strong non-rigid deformations and depth noise. The experiments show that our descriptor outperforms different state-of-the-art descriptors in both precision-recall and recognition rate metrics. We also provide to the community a new dataset composed of annotated RGB-D images of different objects (shirts, cloths, paintings, bags), subjected to strong non-rigid deformations, to evaluate point correspondence algorithms.
DETECTING AND ESTIMATING ATTRIBUTES FOR SINGLE TREES USING LASER SCANNER

This paper demonstrates extensively for the first time that high-pulse-rate laser scanners are capable to detect single trees in boreal forest zone, and characteristics of single trees, such as height, location, and crown dimensions can be determined providing accurate standwise estimates for stem volume and mean height. In the boreal forest zone and in many forest areas, there exists gaps between the forest crowns. For example, in Finland, more than 30 % of the first pulse data reflect directly from the ground without any interaction with the canopy. By increasing the number of pulses, it is possible to have samples from each individual tree and also from the gaps between the trees. Basically this means that several laser pulses can be recorded per m 2 . This allows detailed investigation of forest areas and the creation of a 3dimensional tree height model. Tree height model can be calculated from the digital terrain and crown models both obtained with the laser scanner data. By analysing the 3-dimensional tree height model by using image vision methods, e.g. segmentation, it is possible to locate individual trees, estimate individual tree heights, crown area and, by using that data, to derive the stem diameter, number of stems, basal area and stem volume. The advantage of the method is the capability to measure directly physical dimensions from the trees and use that information to calculate the needed stand attributes. It is shown that tree heights of individual trees in the dominating storey can be obtained with less than 1 m standard error. In addition, the following standard errors were obtained for mean height, basal area and stem volume at stand level: 2.3 m (13.6 %), 1.9 m 2 /ha (9.6 %), and 16.5 m 3 /ha (9.5 %), respectively. The accuracy was better than the accuracy of conventional standwise field inventory.
TMACS: A ROBUST AND VERIFIABLE THRESHOLD MULTI-AUTHORITY ACCESS CONTROL SYSTEM IN PUBLIC CLOUD STORAGE

Storage-as-a-Service presented by cloud service providers (CSPs) is a paid talent that enables organizations to outsource their perceptive data to be stored on secluded servers. In this paper, we suggest a cloud-based storage design that allows the data owner to promote from the facilities offered by the CSP and enables indirect mutual trust between them. The proposed scheme has four significant features: (i) it allows the owner to delegate sensitive data to a CSP, and do full block-level energetic operations on the outsourced data, i.e., block modification, insertion, deletion, and append, (ii) it ensures that authorized users (i.e., those who have the right to access the owner ’ s file) obtain the newest version of the outsourced data, (iii) it enables circuitous communal trust between the owner and the CSP, and (iv) it allows the owner to grant or revoke access to the outsourced data.
Modeling and Contextualizing Claims

Understanding societal debates on the Web and how they are impacted by the spread of biased narratives and falsehoods are becoming increasingly important issues. The notion of a claim is central in a number of related studies into fake-news propagation or computational fact-checking. While the understanding of this notion varies from one ﬁeld to another, there are few studies that have focused on the conceptual modeling of claims and their context. We attempt to contribute to this area by proposing a novel conceptual model for claims and re-lated notions, such as attitudes, reviews and annotations, that aims to take into consideration the claims inherent complexity, distinguishing between their meaning, linguistic representation and context. We provide an example of an implementation of this model by using established vocabularies, such as schema.org, Open Annotation and PROV-O, and discuss the challenges related to this work. 1
Controlled Growth of CdS Nanostep Structured Arrays to Improve Photoelectrochemical Performance

CdS nanostep-structured arrays were grown on F-doped tin oxide-coated glasses using a two-step hydrothermal method. The CdS arrays consisted of a straight rod acting as backbone and a nanostep-structured morphology on the surface. The morphology of the samples can be tuned by varying the reaction parameters. The phase purity, morphology, and structure of the CdS nanostep-structured arrays were characterized by X-ray diffraction and field emission scanning electron microscopy. The light and photoelectrochemical properties of the samples were estimated by a UV-Vis absorption spectrum and photoelectrochemical cells. The experimental results confirmed that the special nanostep structure is crucial for the remarkable enhancement of the photoelectrochemical performance. Compared with CdS rod arrays, the CdS nanostep-structured arrays showed increased absorption ability and dramatically improved photocurrent and energy conversion efficiency. This work may provide a new approach for improving the properties of photoelectrodes in the future.
CEOR_A_204276 465..475

Laura Sánchez-Cenizo Javier Aller José Manuel MartínezSesmero Nuria Mir Carmen Peral Darío Rubio-Rodríguez Carlos Rubio-Terrés 1Medical Department, Pfizer, S.L. U, Madrid, Spain; 2Endocronology Department, Hospital Universitario Puerta De Hierro, Majadahonda, Madrid, Spain; 3Hospital Pharmacy Department, Hospital Clinico San Carlos, Madrid, Spain; 4Pharmacoeconomics Department, Health Value, Madrid, Spain Objective: To evaluate the burden of diabetes mellitus (DM) in adult patients with acromegaly treated with second-line pharmacotherapy, from the perspective of the Spanish National Health System (NHS). Methods: A Markov model was developed including three states: normal glucose metabolism, DM and death. The evolution of a hypothetical cohort of acromegaly patients requiring second-line pharmacological treatment (pegvisomant or pasireotide) after first generation somatostatin analogues therapy was analyzed. Direct healthcare costs regarding acromegaly management, diabetes management and drugs costs were obtained from Spanish sources. Transition probabilities between health states were obtained from published studies. Deterministic and probabilistic sensitivity analyses were undertaken. Results: Compared to pasireotide, pegvisomant increased the likelihood of glucose normalization and reduced the likelihood of DM. Consequently, in a cohort of 1,000 patients with acromegaly, treatment with pegvisomant compared to pasireotide would prevent 243, 413 and 453 cases of DM after 1, 2 and 5 years, respectively, and would reduce mortality by 0.1% after 5 years of treatment. This would result in 1 million euros savings for the NHS in 5 years. These health benefits would be obtained with savings of €1,512, €3,422 and €10,162 per patient treated with pegvisomant, after 1, 2 and 5 years, respectively. After 5 years of treatment, the probability that pegvisomant generated savings versus pasireotide would be 65.3%. Conclusion: The favorable effects of pegvisomant on glucose metabolism would allow a considerable number of cases of DM to be avoided compared to pasireotide, resulting in savings for the NHS in Spain.
Determinants of the economic viability of mallee eucalypts as a short rotation coppice crop integrated into farming systems of Western Australia

Mallee eucalypts are being developed as a short rotation coppice crop for integration into agricultural systems in the south‐west of Western Australia. These have potential for biomass production for bioenergy, eucalyptus oil and generating carbon credits and to help control the extensive occurrence of dryland salinity. Some 12,000 ha of mallee planting has been undertaken since 1994, mostly in the form of wide‐spaced, narrow belts within the annual agricultural system. Production and market data were used to estimate levelized costs (LC) of mallee biomass production under different harvest regimes across 11 sites from 2006 to 2012. We found LC ranged from AUD40 to AUD257 fresh Mg−1. LC was most strongly determined by mallee production, followed by the crop/pasture rotation decisions of the landholder. Mallee harvest regime had minor impact on LC. Crop and pasture yield loss due to competition from the mallee belts accounted for 38% of costs, harvesting biomass was 32%, opportunity cost of the land occupied by the mallee belts was 16% while establishment and maintenance costs accounted for 14% of the costs. When income from carbon sequestered in mallee root biomass was included, the LC dropped by an average of 11% at the current Australian price of AUD15 Mg−1 CO2 equivalent (CO2e). The income from carbon sequestered in root biomass alone is unlikely to make mallee agroforestry economically viable. Hence, income from harvested biomass in the form of feedstocks for industry or carbon credits is necessary to make mallee agroforestry commercially attractive. LC for unharvested mallee belts ranged from AUD33 to AUD237 Mg−1. Where above‐ and below‐ground biomass is converted to CO2e at AUD15 Mg−1, the LC drops to AUD11–AUD64, with three of 11 sites likely to be profitable. These three sites were characterized by high biomass production with low agricultural gross margins.
BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R

Vector autoregression (VAR) models are widely used models for multivariate time series analysis, but often suffer from their dense parameterization. Bayesian methods are commonly employed as a remedy by imposing shrinkage on the model coefficients via informative priors, thereby reducing parameter uncertainty. The subjective choice of the informativeness of these priors is often criticized and can be alleviated via hierarchical modeling. This paper introduces BVAR, an R package dedicated to the estimation of Bayesian VAR models in a hierarchical fashion. It incorporates functionalities that permit addressing a wide range of research problems while retaining an easy-to-use and transparent interface. It features the most commonly used priors in the context of multivariate time series analysis as well as an extensive set of standard methods for analysis. Further functionalities include a framework for defining custom dummy-observation priors, the computation of impulse response functions, forecast error variance decompositions and forecasts.
EFFECT OF SOME FERTILIZATION TREATMENTS ON GROWTH OF TREES, PRODUCTIVITY AND QUALITY OF GUAVA (Psidium guajava l.) FRUITS CV. "ETMANI". I. UNDER THE CONVENTIONAL FLOOD IRRIGATION SYSTEM.

A set of field experiments was conducted in a private orchard at Qalyob district, Qalubia governorate, Egypt during 2012, 2013 and 2014 seasons of 6-years-old uniform trees of guava (Psidium guajava L.) cv. Etmani grown on clay loam soil at 5 x 5 m apart and irrigated with the ordinary flood system to study the response of trees to organic compost at either full, 3⁄4 or 1⁄2 the recommended dose (40, 30 and 20 kg/tree, respectively) + feldspar at either full, 3⁄4, 1⁄2 or 1⁄4 the recommended dose (1200, 900, 600 and 300 g/tree, respectively) + rock phosphate at either full, 3⁄4, 1⁄2 or 1⁄4 the recommended dose (1300, 975, 650 and 325 g/tree, respectively) + mixture of bisofertilizers (Nitropeine + phosphoreine + potasseine at 120, 25 g. and 134 cm./tree, respectively) in 12 combined treatments, besides the control. The obtained results indicated that all fertilization treatments used in this study caused a marked improvement in the means of shoot length, number of leaves/m, leaf area and number of flower buds/m with various significant differences as compared to means of control in the three seasons. A similar trend was also obtained regarding No. of fruits/m, fruit weight, length and diameter, fruit volume, yield and flesh thickness. The percent of TSS was increased in fruits of fertilized trees, while that of acidity was decreased in most cases of the three seasons. So, TSS/acidity ratio was often higher in fruits of treated trees than that in fruits of untreated ones. Moreover, vitamin C content in fruit flesh and fruit firmness were also increased. The leaf content of N, P, K, Ca and Mg was markedly improved as a result of applying fertilization combinations used in such investigation. However, the mastery in most previous parameters was for a combination of 100 % compost + 50 % feldspar + 50 % rock phosphate + bio-fertilizers mixture, which gave the best values in most cases of the three seasons. Accordingly, it can be recommended to fertilize the 6-years-old irrigated trees of guava cv. "Etmani" with the combination of 100 % compost + 50 % feldspar + 50 % rock phosphate plus mixture of biofertilizers to attain the highest growth, yield and fruit quality from commercial point of view.