Miracle-dz/UniFAR-FTUs huggingface dataset:
Distribución estacional de la producción de algunas especies pratenses en Galicia

R E S U M E N Con base en las experiencias planteadas en secano fresco para la evaluacion de variedades y ecotipos de plantas pratenses, se analiza la distribucion estacional de la produccion anual de ray-grass italiano, ray-grass ingles, dactilo, festuca alta, fleo, trebol violeta y alfalfa. Las gramineas se estudian bajo dos sistemas de manejo: explotacion siega y explotacion pasto. Las gramineas dan una gran produccion en primavera, siendo escasa o nula la de verano e invierno. Las leguminosas concentran su produccion entre primavera y verano. El sistema de explotacion no modifica fundamentalmente el reparto estacional de la produccion, aunque la explotacion pasto mejora esta distribucion dentro de la primavera. S U M M A RY The evaluation of varieties and ecotypes of pasture species was carried out without irrigation in a temperate area. The seasonal distribution of the yield was analysed in Italian ryegrass, perennial ryegrass, cocksfoot, tall fescue, timothy, red clover and lucerne. Two cutting systems, i. e. cutting at hay of at grazing stage, were imposed. The grasses gave a high production in Spring, small or none in Summer and Winter. The legumes gave most of their production in Spring and Summer. The cutting system almost did not affect the seasonal distribution, although cutting at «grazing stage» improved the seasonal distribution in Spring.
The effect of different intervention programs on treatment adherence of HIV-infected children, a retrospective study

In HIV-infected children, long-term adherence to combination anti-retroviral therapy (cART) is difficult. In this retrospective study, we evaluated the effect of two different treatment adherence programs on treatment adherence (as indicated by cART failures) and the need for additional supportive care measures in a cohort of 31 HIV-infected children between 3 and 18 years of age. In a follow-up period of 6 years, we evaluated the treatment adherence at baseline (before introduction of any treatment adherence program in 2004) and compared this to cART failures during two treatment adherence programs (in respectively 2006 and 2009). The need for additional supportive care measures (the frequency of hospitalizations, daily observed treatment, use of child protection service, attendance of special schools, and placement in foster homes) was also evaluated at these three time points. The first treatment adherence program focused on increasing patient's obedience by imposing negative measures in case of treatment failure, whereas the second program aimed to increase treatment adherence by rewarding optimal medication intake. Prior to start of any treatment adherence intervention program, cART failures were observed in 29% of the pediatric patients. After introduction of the first treatment adherence program, cART failures decreased to 6%. During the second treatment adherence program, the cART failures remained equally low (10%), but the need for some specific additional supportive care measures (the frequency of hospitalizations and placement in foster homes) was importantly reduced. Treatment adherence programs are effective in increasing treatment adherence to cART in HIV-infected children. A novel reward treatment interventional program as an addition to social supportive care programs is a promising new positive enforcement program and can reduce the need for additional supportive care programs. Further prospective studies are needed to evaluate the long-term effect of this new treatment intervention program.
Node's Power Source Type Identification in Wireless Sensor Networks

Contemporary Wireless Sensor Network (WSN) nodes can use one of the three options for their power supply: the electricity grid, the batteries or the wide range of energy harvesting systems. The possibility of identification for power source type used on the WSN node provides valuable information on the node potential resources, that could be used e.g. for the improvement of the whole WSN lifetime. Additionally, the possibility of WSN node Power Source Type Identification (PSTID) allows unifying the node's software through implementing the methods for WSN node operation adaptation based on the information about identified power source type and allows the support of efficient WSN node power source changeability without node reprogramming. To the best of our knowledge, this article is the first one which focuses on the problem of WSN node PSTID and suggests the appropriate solution. The suggested method allows implementing efficient PSTID with minimum resource consumption while not requiring any hardware components added to the WSN node. The suggested method has been implemented and tested in practice using different WSN node platforms and power source options. The evaluation results are presented in the paper as well.
A fast approximation-guided evolutionary multi-objective algorithm

Approximation-Guided Evolution (AGE) [4] is a recently presented multi-objective algorithm that outperforms state-of-the-art multi-multi-objective algorithms in terms of approximation quality. This holds for problems with many objectives, but AGE's performance is not competitive on problems with few objectives. Furthermore, AGE is storing all non-dominated points seen so far in an archive, which can have very detrimental effects on its runtime. In this article, we present the fast approximation-guided evolutionary algorithm called AGE-II. It approximates the archive in order to control its size and its influence on the runtime. This allows for trading-off approximation and runtime, and it enables a faster approximation process. Our experiments show that AGE-II performs very well for multi-objective problems having few as well as many objectives. It scales well with the number of objectives and enables practitioners to add objectives to their problems at small additional computational cost.
A report on Tuberculosis in Monkeys (Macaca mulatta): A case study at Chittagong Zoo

Simian tuberculosis is one of the most important bacterial diseases of captive monkey in Bangladesh. A prevalence study to characterize Mycobacterium infecting tuberculous monkeys in captive managemental systems in Chittagong Zoo was carried out. In the present study, 14 rhesus monkeys which were newly arrived in the zoo and kept in the quarantine were used for the tuberculin skin testing (TST) to determine the prevalence of tuberculosis. An overall of 28.57% (4/14) was recorded by the TST. There were also marked differences in the prevalence of the disease within different age groups. In the tested positive animals, one was died within two days and showed tubercle in the lung and other organs in the post-mortem examination. The lung sample was collected for Zeihl-Neelsen revealed red colored tubercule bacilli.The above examination confirmed that, the macaques were suffering from tuberculosis.
Drug‐Induced Liver Injury: The Role of Drug Metabolism and Transport

Many studies have pinpointed the significant contribution of liver‐mediated drug metabolism and transport to the complexity of drug‐induced liver injury (DILI). Phase I cytochrome P450 (CYP450) enzymes can lead to altered drug metabolism and formation of toxic metabolites, whilst Phase II enzymes are also associated with DILI. The emerging role of hepatic transporters in regulating the movement of endogenous and exogenous chemicals (e.g., bile acids and drugs) across cellular and tissue membranes is critical in determining the pathophysiology of liver disease as well as drug toxicity and efficacy. Genetic and environmental factors can have a significant impact on drug metabolism and transporter proteins, consequently increasing the risk of DILI in susceptible individuals. The assessment of these factors therefore represents an important approach for predicting and preventing DILI, by better understanding the pharmacological profile of a specific drug. This review focuses on the mechanisms of DILI associated with drug metabolism and hepatic transport, and how they can be influenced by underlying factors.
Testicular and adrenocortical function in men with prostatic cancer and in healthy age-matched controls.

OBJECTIVE To compare the endocrine status of patients with prostate cancer with that of age-matched healthy controls. PATIENTS, SUBJECTS AND METHODS Basal serum concentrations of sex steroids, sex hormone-binding globulin (SHBG) and gonadotrophins, and the basal levels and response to adreno-corticotropic hormone (ACTH) of adrenocortical steroids, were measured before treatment in 72 patients with prostate cancer and in 42 age-matched healthy controls. RESULTS Patients aged < 60 years with prostate cancer had significantly elevated levels of total testosterone and unconjugated (E1) and total (tE1) oestrone while patients aged > or = 60 years had significantly elevated levels of total and non-SHBG-bound testosterone (NST). 17 alpha-hydroxyprogesterone and tE1. Gonadotrophins, SHBG levels and relationships between total testosterone and SHBG were normal in both age groups of patients, as were basal levels and ACTH-induced increments of adrenocortical steroids. The patients had normal age-related variations in SHBG and NST and in basal levels and ACTH-induced increments of adrenocortical steroids. There was a significant age-related increase in serum E1 in the control subjects but not in the patients. Patients with metastatic disease had significantly lower tE1 levels than had patients without metastases. CONCLUSIONS The results suggest an increased sensitivity of the testis to gonadotrophic stimulation, as well as an increased peripheral oestrogen synthesis in patients with prostate cancer, the latter being most pronounced in younger subjects. Men developing prostate cancer may have been exposed to a combination of elevated endogenous oestrogen and androgen levels for a long time. These findings support the theory of a synergism between oestrogens and androgens as an important factor in the aetiology of prostate cancer.
Querying combined cloud-based and relational databases

An increasing amount of data is stored in cloud repositories, which provide high availability, accessibility, and scalability. However, for security reasons enterprises often need to store the core proprietary data in their own relational databases, while common data to be widely available can be stored in a cloud data repository. For example, the subsidiaries of a global enterprise are located in different geographic places where each subsidiary is likely to maintain its own local database. In such a scenario, data integration among the local databases and the cloud-based data is inevitable. We have developed a system called BigIntegrator to enable general queries that combine data in cloud-based data stores with relational databases. We present the design and working principle of the system. A scenario of querying data from both kinds of data sources is used as illustration. The system is general and extensible to integrate data from different kinds of data sources. A particular challenge being addressed is the limited query capabilities of cloud data stores. BigIntegrator utilizes knowledge of those limitations to produce efficient query execution.
Choice-related Activity in the Anterior Intraparietal Area during 3-D Structure Categorization

The anterior intraparietal area (AIP) of macaques contains neurons that signal the depth structure of disparity-defined 3-D shapes. Previous studies have suggested that AIP's depth information is used for sensorimotor transformations related to the efficient grasping of 3-D objects. We trained monkeys to categorize disparity-defined 3-D shapes and examined whether neuronal activity in AIP may also underlie pure perceptual categorization behavior. We first show that neurons with a similar 3-D shape preference cluster in AIP. We then demonstrate that the monkeys' 3-D shape discrimination performance depends on the position in depth of the stimulus and that this performance difference is reflected in the activity of AIP neurons. We further reveal correlations between the neuronal activity in AIP and the subject's subsequent choices and RTs during 3-D shape categorization. Our findings propose AIP as an important processing stage for 3-D shape perception.
Buruli Ulcer in Ghana: Results of a National Case Search

A national search for cases of Buruli ulcer in Ghana identified 5,619 patients, with 6,332 clinical lesions at various stages. The overall crude national prevalence rate of active lesions was 20.7 per 100,000, but the rate was 150.8 per 100,000 in the most disease-endemic district. The case search demonstrated widespread disease and gross underreporting compared with the routine reporting system. The epidemiologic information gathered will contribute to the design of control programs for Buruli ulcer.
Lattice decoding and rescoring with long-Span neural network language models

With long-span neural network language models, considerable improvements have been obtained in speech recognition. However, it is difficult to apply these models if the underlying search space is large. In this paper, we combine previous work on lattice decoding with long short-term memory (LSTM) neural network language models. By adding refined pruning techniques, we are able to reduce the search effort by a factor of three. Furthermore, we introduce two novel approximations for full lattice rescoring, which opens the potential of lattice-based speech recognition techniques. Compared to 1000-best lists, we find that we can increase the word error rate improvements obtained with LSTMs from 8.2 % to 10.7 % relative over a stateof-the-art baseline, while the resulting lattices are even considerably smaller. In addition, we investigate the use of LSTMs for Babel Assamese keyword search, obtaining significant improvements of 2.5 % relative.
A Camera-Projector System for Real-Time 3D Video

In this paper, we describe a real-time 3D video system that is based on active stereo. Combining a NTSC standard camera/ projector equipment and a suitable color code, the geometric and photometric information of a scene is robustly obtained in 30fps. Our main motivation to develop this system is to create a platform for investigating the issues that will be posed by the next generation of digital video and how it can shape up new media.
Single packet IP traceback in AS-level partial deployment scenario

Tracing IP packets to their sources, known as IP traceback, is an important task in defending against IP spoofing and DoS attacks. Log-based IP traceback technique is to log packets at routers in the network and then determine the network paths which packets traversed using data extraction techniques. The biggest advantage of log-based IP traceback is the potential to trace a single packet. Tracing a single packet in the Internet using log-based IP traceback involves cooperation among all autonomous systems (AS) traversed by the packet. The single packet traceback process may not reach the packet origin if some AS on the forwarding path does not support IP traceback. IP traceback mechanisms are deployed within each AS independently. It is not reasonable to assume all ASes begin to support the same IP traceback mechanism in a short period of time. In this paper, we study the effectiveness of log-based IP traceback in tracing a single packet under the environment where not every AS supports log-based IP traceback. We propose a scheme to conduct the single packet traceback process in AS-level partial deployment scenario. We evaluate the performance of single packet IP traceback in AS-level partial deployment scenario based on our scheme through simulation.
Human adaptation to dynamic interaction forces during learning of a visuo-motor task

Abstract We tested whether humans can learn to sense and compensate for interaction forces in contact tasks. Many tasks, such as use of hand tools, involve significant interaction forces between hand and environment. One control strategy would be to use high hand impedance to reduce sensitivity to these forces. But an alternative would be to learn feed-back compensation for the extrinsic dynamics and associated interaction forces, with the potential for lower control effort. We observed subjects as they learned control of a ball-and-beam system, a visuo-motor task where the goal was to quickly position a ball rolling atop a rotating beam, through manual rotation of the beam alone. We devised a ball-and-beam apparatus that could be operated in a real mode, where a physical ball was present; or in a virtual training mode, where the ball’s dynamics were simulated in real time. The apparatus presented the same visual feed-back in all cases, and optionally produced haptic feedback of the interaction forces associated with the ball’s motion. Two healthy adult subject groups, Vision-Only and Vision-Haptics (each N=10), both trained for 80 trials on the simulated system, and then were evaluated on the real system to test for skill transfer effects. If humans incorporate interaction forces in their learning, the Vision-Haptics group would be expected to exhibit a smoother transfer, as quantified by changes in completion time of a ball-positioning task. During training, both groups adapted well to the task, with reductions of 64-70% in completion time. At skill transfer to the real system, the Vision-Only group had a significant 35% increase in completion time (p < 0.05). There was no significant change in the Vision-Haptics group, indicating that subjects had learned to compensate for interaction forces. These forces could potentially be incorporated in virtual environments to assist with motor training or rehabilitation.
Multi-temporal classification of TerraSAR-X data for wetland vegetation mapping

This paper is concerned with vegetation wetland mapping using multi-temporal SAR imagery. Whilst wetlands play a key role in controlling flooding and nonpoint source pollution, sequestering carbon and providing an abundance of ecological services, knowledge of the flora and fauna of these environments is patchy, and understanding of their ecological functioning is still insufficient for a reliable functional assessment on areas larger than a few ha. The aim of this paper is to evaluate multitemporal TerraSAR-X imagery to map precisely the distribution of vegetation formations within wetlands, in determining seasonally flooded areas of wetlands. A series of six dual-polarization TerraSAR-X images (HH/VV) were acquired in 2012 during dry and wet seasons. Polarimetric and intensity parameters, which present a temporal variation that depends on wetland flooding status and vegetation roughness, were firstly extracted. The parameters were then classified based on Support Vector Machines (SVM) techniques using a specific kernel adapted to the comparison of time-series data. The results show that the Shannon entropy parameter allows discriminating vegetation formations within wetland with more accuracy than intensity parameters.
Control of Neural Development and Function in a Thermoregulatory Network by the LIM Homeobox Gene lin-11

We show here that the lin-11 LIM homeobox gene is expressed in nine classes of head, ventral cord, and tail neurons and functions at a late step in the development of a subset of these neurons. In a lin-11 null mutant, alllin-11-expressing neurons are generated. Several of these neurons, however, exhibit neuroanatomical as well as functional defects. In the lateral head ganglion, lin-11 functions in a neural network that regulates thermosensory behavior. It is expressed in the AIZ interneuron that processes high temperature input and is required for the function of AIZ in the thermoregulatory neural network. Another LIM homeobox gene, ttx-3, functions in the antagonistic thermoregulatory interneuron AIY (Hobert et al., 1997). Thus, distinct LIM genes specify the functions of functionally related antagonistic interneurons within a neural network dedicated for thermoregulatory processes. Both ttx-3 andlin-11 expression are maintained throughout adulthood, suggesting that these LIM homeobox genes play a role in the functional maintenance of this neural circuit. We propose that particular LIM homeobox genes specify the distinct features of functionally related neurons that generate patterned behaviors.
Vacuolar protein sorting in fission yeast: cloning, biosynthesis, transport, and processing of carboxypeptidase Y from Schizosaccharomyces pombe

PCR was used to isolate a carboxypeptidase Y (CPY) homolog gene from the fission yeast Schizosaccharomyces pombe. The cloned S. pombe cpy1+ gene has a single open reading frame, which encodes 950 amino acids with one potential N-glycosylation site. It appears to be synthesized as an inactive pre-pro protein that likely undergoes processing following translocation into appropriate intracellular organelles. The C-terminal mature region is highly conserved in other serine carboxypeptidases. In contrast, the N-terminal pro region containing the vacuolar sorting signal in CPY from Saccharomyces cerevisiae shows fewer identical residues. The pro region contains two unusual repeating sequences; repeating sequence I consists of seven contiguous repeating segments of 13 amino acids each, and repeating sequence II consists of seven contiguous repeating segments of 9 amino acids each. Pulse-chase radiolabeling analysis revealed that Cpy1p was initially synthesized in a 110-kDa pro-precursor form and via the 51-kDa single-polypeptide-chain intermediate form which has had its pro segment removed is finally converted to a heterodimer, the mature form, which is detected as a 32-kDa protein on sodium dodecyl sulfate-polyacrylamide gel electrophoresis under reducing conditions. Like S. cerevisiae CPY, S. pombe Cpy1p does not require the N-linked oligosaccharide moiety for vacuolar delivery. To investigate the vacuolar sorting signal of S. pombe Cpy1p, we have constructed cpy1+-SUC2 gene fusions that direct the synthesis of hybrid proteins consisting of N-terminal segments of various lengths of S. pombe Cpy1p fused to the secreted enzyme S. cerevisiae invertase. The N-terminal 478 amino acids of Cpy1 are sufficient to direct delivery of a Cpy1-Inv hybrid protein to the vacuole. These results showed that the pro peptide of Cpy1 contains the putative vacuolar sorting signal.
Characterizing Dense Urban Areas from Mobile Phone-Call Data: Discovery and Social Dynamics

The recent adoption of ubiquitous computing technologies (e.g. GPS, WLAN networks) has enabled capturing large amounts of spatio-temporal data about human motion. The digital footprints computed from these datasets provide complementary information for the study of social and human dynamics, with applications ranging from urban planning to transportation and epidemiology. A common problem for all these applications is the detection of dense areas, i.e. areas where individuals concentrate within a specific geographical region and time period. Nevertheless, the techniques used so far face an important limitation: they tend to identify as dense areas regions that do not respect the natural tessellation of the underlying space. In this paper, we propose a novel technique, called DADMST, to detect dense areas based on the Maximum Spanning Tree (MST) algorithm applied over the communication antennas of a cell phone infrastructure. We evaluate and validate our approach with a real dataset containing the Call Detail Records (CDR) of over one million individuals, and apply the methodology to study social dynamics in an urban environment.
On the correlation distribution of the Coulter-Matthews decimation

The distribution of the cross correlation between the ternary m-sequence {s/sub t/} of period n=3/sup m/-1 and the decimated sequences {s/sub dt/} and {s/sub dt+1/} of period (3/sup m/-1)/2, where d=3/sup k/+1/2 with k odd and gcd(k,m)=1 is determined. The method to find this distribution is related to the result by Coulter and Matthews that f(x)=x/sup d/ is a planar function over GF(3/sup m/).