Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical Activity after High Tibial Osteotomy for Treatment of Medial Compartment Knee Osteoarthritis

Background: High tibial osteotomy (HTO) is the preferential treatment for the symptomatic osteoarthritis of the medial compartment of the knee. Even though HTO is recommended for the active patient, there is few information describing sports and recreational activities after HTO. Purpose: The objective of this study is to evaluate the physical activity and functional outcome of a group of patients presenting with medial compartment osteoarthritis of the knee. Methods: 174 patients who had been submitted to HTO were evaluated after a mean follow-up period of 47.9 months by interview and questionnaire. Functional and physical activities were scored according to published rating systems. Results: 142 (81.6%%) patients were satisfied (mean satisfaction 2) with the outcome of surgery, 64.3% of the patients had normal work duties after surgery without limitation or decline in performance and 58.6% had resumed physical activities at pre-operative levels: some patients had started the exercises (18.4%). The mean preoperative score for physical activity according to the Tegner and Lysholm scale was 2.9 ± 1.9, while the mean postoperative score was 3.2 ± 2.9 (p>0.05). According to Lysholm and Gillquist ratings, the mean preoperative score for physical performance was 57.1 ± 16.2 while the mean postoperative score had increased to 77.3 ± 17.5 (p<0.05). Conclusion: Based on this study, HTO allow the resumption of physical activities for many individuals with symptomatic osteoarthritis of the medial compartment of the knee, resulting in improvements of the clinical conditions and, consequently, in their daily working and recreational activities.
SCALABLE PHOTOGRAMMETRIC MOTION CAPTURE SYSTEM “MOSCA”: DEVELOPMENT AND APPLICATION

Wide variety of applications (from industrial to entertainment) has a need for reliable and accurate 3D information about motion of an object and its parts. Very often the process of movement is rather fast as in cases of vehicle movement, sport biomechanics, animation of cartoon characters. Motion capture systems based on different physical principles are used for these purposes. The great potential for obtaining high accuracy and high degree of automation has vision-based system due to progress in image processing and analysis. Scalable inexpensive motion capture system is developed as a convenient and flexible tool for solving various tasks requiring 3D motion analysis. It is based on photogrammetric techniques of 3D measurements and provides high speed image acquisition, high accuracy of 3D measurements and highly automated processing of captured data. Depending on the application the system can be easily modified for different working areas from 100 mm to 10 m. The developed motion capture system uses from 2 to 4 technical vision cameras for video sequences of object motion acquisition. All cameras work in synchronization mode at frame rate up to 100 frames per second under the control of personal computer providing the possibility for accurate calculation of 3D coordinates of interest points. The system was used for a set of different applications fields and demonstrated high accuracy and high level of automation.
Combined TOPEX/Poseidon TEC and ionosonde observations of negative low-latitude ionospheric storms

Ionospheric storms showing a strong depression in daytime fo F2 values were sought which penetrated to low-latitudes, as identified by vertical ionosondes operating at Darwin and Townsville over the period 1992-1998. The 32 storms thus identified showed a seasonal occurrence peaking near the equinoxes with a bias to the summer side. Of these storms, three (27 March 1995, 25 October 1997, 8 November 1997) combined Australian and South East Asian ionosonde observations with local afternoon TOPEX/Poseidon measurements of TEC. The equatorial anomaly is usually well developed at this time of day and consequently these storms were chosen for detailed study. The TOPEX/Poseidon satellite provided vertical profiles of the ionosphere across both hemispheres, thus allowing the totality of storm behaviour to be observed for the first time at low-latitudes and related directly to the ionosonde observations. The three storms were remarkably consistent in their behaviour, the negative ionospheric storm day followed some 24-36h after the beginning of a magnetic storm and the development of the equatorial anomaly was suppressed. However, the suppression of the equatorial anomaly was not the main cause of the strong depression in fo F2 observed by the Southern Hemisphere ionosondes. The latter was associated with an additional bite-out in both TEC and fo F2 that occurred on the southern side of the magnetic equator. None of the three storms produced any major negative disturbance outside the range of normal variability of TEC and fo F2 at the northern latitude sites for which data was available, despite the absence of the anomaly. The satellite measurements show the strength of the anomaly to be highly variable from day-to-day and anomaly peaks are frequently not present even on magnetically quiet days. Thus, an absence of anomaly peaks is contained within the normal variability of non-storm days. The north-south asymmetry and seasonal occurrence are consistent with an enhancement of the normal summer-to-winter system carrying compositional changes induced by energy inputs at auroral latitudes to equatorial latitudes not usually reached. The ability of associated atmospheric and/or electric field changes to coincidentally switch off the equatorial E region electrojet remains to be explained, as indeed does the large range of variability in equatorial anomaly development from day-to-day evident in the TEC measurements outside periods of geomagnetic disturbance. Some possible positive storm effects occurring on the day preceding the negative storm phase are also noted.
IA-SpGEMM: an input-aware auto-tuning framework for parallel sparse matrix-matrix multiplication

Sparse matrix-matrix multiplication (SpGEMM) is a sparse kernel that is used in a number of scientific applications. Although several SpGEMM algorithms have been proposed, almost all of them are restricted to the compressed sparse row (CSR) format, and the possible performance gain from exploiting other formats has not been well studied. The particular format and algorithm that yield the best performance for SpGEMM also remain undetermined. In this work, we conduct a prospective study on format-specific parallel SpGEMM algorithms, and analyze their pros and cons. We then propose IA-SpGEMM, an input-aware auto-tuning Framework for SpGEMM, that provides a unified programming interface in the CSR format and automatically determines the best format and algorithm for arbitrary sparse matrices. For this purpose, we set-up an algorithm set and design a deep learning model called MatNet that is trained by over 2,700 matrices from the SuiteSparse Matrix Collection to quickly and accurately predict the best solution by using sparse features and density representations. We evaluate our framework on CPUs and a GPU, and the results show that IA-SpGEMM is on average 3.27x and 13.17x faster than MKL on an Intel and an AMD platform, respectively, and is 2.23x faster than cuSPARSE on an NVIDIA GPU.
Evaluation of fruit leather made from two cultivars of papaya

Two papaya cultivars were used to manufacture fruit leather. The objective of this study was to formulate papaya leather from locally grown papaya using natural ingredients like pectin, honey and citric acid. The fresh fruits were pureed and mix with natural ingredients, and dried in an oven at 60°C for 12 hours. The physicochemical properties and antioxidant activity were determined. The results showed that fruit leather made from Hongkong cultivar is significantly (P<0.05) higher in sensory parameters as well as physicochemical properties and antioxidant activity. The phenolics content and antioxidant activity increased by process of drying the fruit leather compared to fresh fruits in both papaya cultivars. Therefore, the consumer requirements for healthy and safe food products were respected.
Relationships of Body Composition and Fat Partition with Body Condition Score in Serra da Estrela Ewes

Twenty eight non-lactating and non-pregnant adult Serra da Estrela ewes, ranging in body condition score (BCS) from 1 to 4 were used to study the relationships between BCS, live weight (LW), body composition and fat partition. Ewes were slaughtered and their kidney knob and channel fat (KKCF), sternal fat (STF) and omental plus mesenteric fat (OMF) were separated and weighed. Left sides of carcasses as well as the respective lumbar joints were then dissected into muscle, bone and subcutaneous (SCF) and intermuscular fat (IMF). The relationship between LW and BCS was studied using data from 1,396 observations on 63 ewes from the same flock and it was found to be linear. Regression analysis was also used to describe the relationships among BCS and/or LW and weights (kg) and percentages in empty body weight (EBW) of dissected tissues. The prediction of weights and percentages in EBW of total fat (TF) and of all fat depots afforded by BCS was better than that provided by LW. Only the weight of muscle and the percentage of bone in the EBW were more efficiently predicted by LW than by BCS. IMF represented the largest fat depot with a BCS of 1 and 2, whereas SCF was the most important site of fat deposition with a BCS of 3 and 4. Allometric coefficients for each fat depot in TF suggest that the fat deposition order in ewes from this breed is: IMF, OMF, SCF and KKCF. Results demonstrate that BCS is a better predictor than LW of body reserves in this breed and that LJ is a suitable anatomical region to evaluate BCS.
The Case for More Active Management ofEndometrial Development in IVM: Decreasingthe Miscarriage Rate and Increasing theClinical Pregnancy Rate

This review looks at the problem of pregnancy loss after in vitro maturation IVF (IVM) cycles as it may relate to the development of the endometrium during that cycle. The management of the endometrial lining in IVM cycles is currently primarily informed by what has worked in the past rather than by designed experimental studies. The IVF literature on the use of estradiol in artificial cycles prior to cryopreserved embryo transfer cycles and fresh donor-recipient cycles can provide some context in which to evaluate practices in IVM. Endogenous estradiol, exogenous estradiol, and estradiol induced by FSH priming all potentially effect the development of the endometrium during an IVM cycle. These vary in part between programs based on patient selection and cycle management choices, making it harder to use the medical literature to guide decision making in this area. In particular, the short duration of functional estrogen exposure and the diminished endometrial thickness typical of many IVM cycles may contribute to an increased pregnancy loss rate and a lower implantation rate than seen with conventional IVF.
Biochemical composition and calorific value of zooplankton from the coastal waters of South Andaman

Estimation of biochemical composition of zooplankton is important in understanding their metabolism, nutritive value and energy transfer which are relevant to the marine ecosystem. Zooplankton biomass and their biochemical composition were estimated from the coastal waters of South Andaman during October 2011 to September 2012. The dry weight biomass and chlorophyll a discerned a positive correlation (p<0.05; one-way ANOVA) in two stations. Protein formed the major fraction of the organic constituents. Seasonal variation in the protein content of zooplankton was observed. Carbohydrate was the minor component and ranged from 1.1-12.2% ( = 3.4±1.1) in terms of dry weight. Neither lipid nor carbohydrate appeared to be significant source of energy for these organisms. Caloric value obtained in this study ranged from 1.35 to 2.72 kcal/g dry weight ( =1.8±0.2). Relatively higher values were attributed to the dominance of calanoid copepods in the zooplankton population almost throughout the year. Zooplankton did not show an extensive lipid storage suggesting that protein may serve as metabolic reserve. It is therefore evident that zooplankton can be utilized as nutritional live feed for the cultivable species of fish and prawn in aquaculture farms. The variations in biochemical composition of zooplankton are influenced by species composition and feeding activities of zooplankton, which is in accordance with the previous studies. This study is the first report on Biochemical Composition and Calorific Value of Zooplankton from the coastal waters of Port Blair, South Andaman.
DATA MINING TECHNIQUE TO ANALYZE SOIL NUTRIENTS BASED ON HYBRID CLASSIFICATION

Data mining methods are greatly admired in the research field of agriculture. The agriculture factors weather, rain, soil, pesticides and fertilizers are the main responsible aspect to raise the production of yields. The fundamental basic key aspect of agriculture is Soil for crop growing. Examination of soil is a noteworthy part of soil asset management in horticulture. The soil investigation is exceptionally useful for cultivators to discover which sort of harvests to be developed in a specific soil condition. The main target of this work is to investigate soil supplements utilizing data mining classification techniques. A large data set of soil nutrients status database was collected from the Department of Agriculture, Cooperation and Farmers Welfare. The database contains measurement of soil nutrients for all different states. This work takes some district of Tamil Nadu in India to analyze the soil nutrients. Distinctive sort's soil has diverse variety of supplements. This paper chooses Nitrogen, Phosphorus, Potassium, Calcium, Magnesium, Sulfur, Iron, Zinc, and so forth, nutrients for investigating the soil supplements utilizing Naive Bayes, Decision Tree and Hybrid approach of Naive Bayes and Decision Tree. The performance of the classification algorithms are compared based on the following two factors: accuracy and execution time.
Cognitive Radio Spectrum Sensing andSecondary User Allocation

The increased demand of services and applications on the wireless communication networks in the future requires wider ranges of spectrum. This enforces the designers to develop new techniques and solutions to use the scarce spectrum efficiently. One of the proposed solutions is moving to new higher frequencies, but it is observed that the licensed spectrum is not completely used where some parts are unused and others are not utilized. Cognitive radio is an intelligent technique used in wireless networks to take advantage of unused or underutilized spectrum. This may be performed by allocating secondary users in the spectrum holes in order to enhance the efficiency of radio resource allocations. In this paper; spectrum sensing methods and secondary user allocation are performed to utilize the spectrum holes. The simulation Model is carried out using Matlab simulation program in order to study the performance of the proposed cognitive radio system.
Anaerobic Threshold Level in Cyclic and Acyclic Sports Procedures

Purpose: The Anaerobic Threshold (AT) and VO2max are both indistinctly used to evaluate the athlete’s cardiovascular performance however; they do not correspond to the same metabolic modifications. Despite this aspect could partially depends on the different static and dynamic work-load of the sports practiced, it can also derive from the training variety, where the “cyclic and acyclic” component can be diversely represented. The aim of this study is to evaluate any possible difference of these parameters, among sports at different dynamic and static component undergoing to a diverse kind of training with prevalent cyclic or acyclic preparation. Methods: A group of 44 athletes from three different sports was submitted to a Cardio Pulmonary Test (CPT) and to a 2D echocardiography exam calculating the AT and VO2max and the standard heart systo-diastolic parameters. The statistical analysis was performed using Anova Test (P< 0.05 significant). Results: Only in cyclists, at high dynamic component and cyclic training, both the parameters were statistically highest (p<0.01). In soccer players, at the lowest static class and practicing an acyclic training, the values of AT and VO2max were higher than the basketball. A negative relationship of CMI and CPT parameters has been found in them. Conclusions: The results support the hypothesis that both AT and VO 2max, resulted to be strongly related to the dynamic component of the sport practiced while the AT value can partially depends on the kind of the cyclic or acyclic training. This single parameter can therefore be employed particularly during the follow–up of the athletes training.
Controlled Pore Diameter in Porous Anodic Aluminium Oxide Templates for Nanotube/Nanowire Fabrication

A porous anodic aluminium oxide (AAO) templates were fabricated on aluminium by electrodeposition method using a two-step anodization process. The AAO templates were anodized in 0.3 M oxalic acid solution by applying a constant voltage of 40V, which was afterward treated with chemical etching process in a mixed solution of 6% phosphoric acid and 1.8% chromic acid, respectively. The temperature was kept constant in 15oC during the anodization process and the anodization time were done between 20 to 60 min. All the samples were characterized using by scanning electron microscopy (SEM) to study the surface morphology of AAO templates. It was found that the pore diameters of AAO templates can be controlled by changing the anodizing time. The influence of the electropolishing were also discussed. Highly uniform self-ordered AAO template were effectively formed from these polished foils via an anodizing process.
Skills and Immigration: A Short Run Trade Theoretical Approach

I examine the political economy of immigration in a specific factor trade model with an arbitrary number of sectors, where labor is considered the short run immobile factor. I show that the liberalization of certain immigration restrictions depends on the host country’s stock and distribution of capital, the number of groups of skilled workers within each country, and the number of types of goods produced by each country. In particular, the more diverse in skills is the population of each country, or the more types of goods both countries produce, the more liberal the host country would be toward immigration.
3D Semantic Modeling of Indoor Environments based on Point Clouds and Contextual Relationships

Contexto: Se propone una metodologia para identificar y etiquetar los componentes de la estructura de un ambiente interior tipico y asi generar un modelo semantico de la escena. Nos interesamos en la identificacion de: paredes, techos, suelos, puertas abiertas, puertas cerradas que forman un pequeno hueco con la pared y ventanas parcialmente ocultas. Metodo: Los elementos a ser identificados deben ser planos en el caso de paredes, pisos y techos y deben tener una forma rectangular en el caso de puertas y ventanas, lo que significa que la estructura del ambiente interior es Manhattan. La identificacion de estas estructuras se determina mediante el analisis de las relaciones contextuales entre ellos, paralelismo, ortogonalidad y posicion de la estructura en la escena. Las nubes de puntos de las escenas fueron adquiridas con un dispositivo RGB-D (Sensor Kinect de Microsoft). Resultados: Los resultados obtenidos muestran una precision de 99.03% y una sensibilidad de 95.68%, usando una base de datos propia. Conclusiones: Se presenta un metodo para el etiquetado semantico 3D de escenas en interiores basado en relaciones contextuales entre los objetos. Las reglas contextuales usadas para clasificacion y etiquetado permiten un buen entendimiento del proceso y, tambien, una identificacion de las razones por las que se presentan algunos errores en el etiquetado. El tiempo de respuesta del algoritmo es corto y la exactitud alcanzada es satisfactoria. Ademas, los requerimientos computacionales no son altos.
UvA-DARE ( Digital Academic Repository ) Asteroseismology from multi-month Kepler photometry : the evolved Sun-like stars KIC 10273246 and KIC 10920273

Context. The evolved main-sequence Sun-like stars KIC 10273246 (F-type) and KIC 10920273 (G-type) were observed with the NASA Kepler satellite for approximately ten months with a duty cycle in excess of 90%. Such continuous and long observations are unprecedented for solar-type stars other than the Sun. Aims. We aimed mainly at extracting estimates of p-mode frequencies – as well as of other individual mode parameters – from the power spectra of the light curves of both stars, thus providing scope for a full seismic characterization. Methods. The light curves were corrected for instrumental effects in a manner independent of the Kepler science pipeline. Estimation of individual mode parameters was based both on the maximization of the likelihood of a model describing the power spectrum and on a classic prewhitening method. Finally, we employed a procedure for selecting frequency lists to be used in stellar modeling. Results. A total of 30 and 21 modes of degree l = 0, 1, 2 – spanning at least eight radial orders – have been identified for KIC 10273246 and KIC 10920273, respectively. Two avoided crossings (l = 1 ridge) have been identified for KIC 10273246, whereas one avoided crossing plus another likely one have been identified for KIC 10920273. Good agreement is found between observed and predicted mode amplitudes for the F-type star KIC 10273246, based on a revised scaling relation. Estimates are given of the rotational periods, the parameters describing stellar granulation and the global asteroseismic parameters Δν and νmax.