Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolic Consequences of Resistive Force Selection During Cycle Ergometry Exercise

The purpose of this study was to compare power outputs and blood lactate concentrations ([La−]B) following 30 s of maximal cycle ergometry when resistive forces were derived from total-body mass (TBM) or fat-free mass (FFM). Differences (P < 0.05) in peak power output (PPO), pedal velocity (PV) and resistive forces (RF) were observed when the TBM and FFM protocols were compared (953 ± 114 W vs. 1020 ± 134 W; 134 ± 8 rpm vs. 141 ± 7 rpm; 6 ± 1 kg vs. 5 ± 1 kg, respectively). Blood lactate values ([La−]B) increased (P < 0.01) postexercise for both protocols and were significantly greater for TBM (10.6 ± 1.2 mmol.l−1 vs 11.6 ± 1.1 mmol.l−1, P < 0.05). These findings indicate that the FFM resistive force protocol may maximise adenosinotriphosphate-phosphocreatine (ATP-PC) utilisation with smaller contributions from anaerobic glycolysis when compared with TBM. These results may have important implications in the assessment of high intensity exercise performance.
Evaluation of spatial distribution and regional zone delineation for micronutrients in a semiarid Deccan Plateau Region of India

Emerging micronutrient deficiencies in different soils of the world is a threat for sustainability of agriculture. As distribution of micronutrients in soil varies spatially, site‐specific management of micronutrients by delineating regional zones (RZs) is an effective strategy for precision agriculture. The current investigation was performed to delineate RZs in a Deccan Plateau Region (DPR) of India by considering spatial variability of some soil properties and available micronutrients for efficient management of micronutrients. Altogether, 4,939 representative soil samples (with geographical coordinates) from surface (0–0.15 m depth) layers were obtained from Telangana state lying in DPR of India. After processing, soil samples were analysed for pH, electrical conductivity, soil organic carbon and available zinc, copper, iron, and manganese. Soil pH, electrical conductivity, and soil organic carbon content had mean values of 7.48 ± 0.95, 0.42 ± 0.22 dS/m and 0.48 ± 0.17%, respectively. Whereas, the mean values of available zinc, iron, copper, and manganese concentrations were 0.83 ± 0.36, 8.79 ± 4.15, 0.99 ± 0.43, and 8.79 ± 4.06 mg/kg, respectively. Geostatistical analysis divulged different distribution pattern of soil properties and available micronutrients with strong to moderate spatial dependency. The four principal components (with >1 eigenvalue) responsible for 73% of total variance were considered for analysis. Six RZs from the study area were created through geostatistical, principal component, and clustering analysis. The measured soil properties and available micronutrients in the RZs varied significantly highlighting the usefulness of RZ delineation technique for precise micronutrients management in DPR of India.
Identifying the clinical characteristics of older people living in care homes using a novel approach in a primary care database.

OBJECTIVES to enhance identification of older nursing and residential home residents in a national sample and describe their chronic disease prevalence. DESIGN cross-sectional analysis of an established primary care database (The Health Improvement Network). SETTING 326 English and Welsh general practices. SUBJECTS 435,568 patients aged > or = 65. Care home residents were identified by either a Read code for care home residence or multiple care home residence markers (postcode linkage, household size identifier and location of consultation). COMPARISONS: nursing and residential home residents were compared with a community control group with no markers of care home residence using age and sex standardised chronic disease prevalence ratios. MAIN OUTCOME MEASURES chronic disease prevalence using definitions from the national primary care contract. RESULTS 11,547 (2.7%) older people were identified as care home residents, of whom only 4,403 (38.1%) were directly identified by their primary care record. Mean age for nursing and residential homes was 84.9 and 86.1 years compared to 74.7 for controls. Prevalence ratios for dementia were 14.8 (95% CI 13.4-16.4) for nursing and 13.5 (12.4-14.8) for residential homes compared to controls. Stroke and severe mental illness were commoner in nursing and residential homes but hypertension, respiratory and cancer diagnoses were slightly less common. Recorded disease prevalences in nursing and residential homes were similar. CONCLUSIONS recording of care home residence is limited in primary care and this is a barrier to routine monitoring of this group. Higher dementia and stroke prevalence in care home residents confirms high clinical need, but the small differences in disease prevalence between nursing and residential homes have implications for delivering medical and nursing care to residential homes. Lower prevalence of some chronic diseases suggests incomplete recording or case finding. Routine flagging of care home residents in health care systems is a potential tool for improving monitoring and outcomes.
Gram Type-Specific Broad-Range PCR Amplification for Rapid Detection of 62 Pathogenic Bacteria

ABSTRACT Broad-range PCR has proven to be useful for the detection of bacteria. A set of broad-range PCR primers directed against conserved regions in the 16S rRNA gene was designed to specifically amplify either gram-positive or gram-negative bacteria. The gram type-specific broad-range PCR correctly classified all 62 pathogenic species tested.
Help Me to Help You: How to Learn Intentions, Actions and Plans

The collaboration between a human and a robot is here understood as a learning process mediated by the instructor prompt behaviours and the apprentice collecting information from them to learn a plan. The instructor wears the Gaze Machine, a wearable device gathering and conveying visual and audio input from the instructor while executing a task. The robot, on the other hand, is eager to learn both the best sequence of actions, their timing and how they interlace. The cross relation among actions is specified both in terms of time intervals for their execution, and in terms of location in space to cope with the instruction interaction with people and objects in the scene. We outline this process: how to transform the rich information delivered by the Gaze Machine into a plan. Specifically, how to obtain a map of the instructor positions and his gaze position, via visual slam and gaze fixations; further, how to obtain an action map from the running commentaries and the topological maps and, finally, how to obtain a temporal net of the relevant actions that have been extracted. The learned structure is then managed by the flexible time paradigm of flexible planning in the Situation Calculus for execution monitoring and plan generation.
Metabolic Profile and Inflammatory Responses in Dairy Cows with Left Displaced Abomasum Kept under Small-Scaled Farm Conditions

Simple Summary This research established an association between lactation number and milk production and metabolic and inflammatory responses in high-producing dairy cows affected by left abomasal displacement in small-scaled dairy farms. The study showed metabolic alterations, liver damage, and inflammation in the sick cows, which were further exacerbated with increasing lactation number and milk yield of the cows. Abstract Left displaced abomasum (LDA) is a severe metabolic disease of cattle with a strong negative impact on production efficiency of dairy farms. Metabolic and inflammatory alterations associated with this disease have been reported in earlier studies, conducted mostly in large dairy farms. This research aimed to: (1) evaluate metabolic and inflammatory responses in dairy cows affected by LDA in small-scaled dairy farms; and (2) establish an association between lactation number and milk production with the outcome of metabolic variables. The cows with LDA had lower serum calcium (Ca), but greater concentrations of non-esterified fatty acids (NEFA) and beta-hydroxy-butyrate (BHBA), in particular when lactation number was >2. Cows with LDA showed elevated levels of aspartate aminotransferase, glutamate dehydrogenase, and serum amyloid A (SAA), regardless of lactation number. In addition, this study revealed strong associations between milk yield and the alteration of metabolic profile but not with inflammation in the sick cows. Results indicate metabolic alterations, liver damage, and inflammation in LDA cows kept under small-scale farm conditions. Furthermore, the data suggest exacerbation of metabolic profile and Ca metabolism but not of inflammation and liver health with increasing lactation number and milk yield in cows affected by LDA.
A Role for Collapsin-1 in Olfactory and Cranial Sensory Axon Guidance

Collapsin-1 is a member of the semaphorin family of signaling molecules that acts as a repellent for growing spinal sensory axons. We have constructed a chimeric collapsin-1/alkaline phosphatase probe to visualize putative collapsin-1 receptors in vitro andin situ. As predicted by the activity profile of collapsin-1, the probe binds spinal sensory tracts, ventral spinal roots, and the sympathetic chain but does not bind retinal axons. In addition, we find that the probe binds sensory axons arising from the olfactory epithelium and some, but not all, cranial sensory nerves. As predicted by these binding studies, in vitro assays demonstrate that primary olfactory sensory, trigeminal, and jugular ganglion growth cones collapse in the presence of soluble collapsin-1. Comparing the expression pattern of collapsin-1 with the trajectories of collapsin-1 responsive axons suggests that in both the spinal cord and the olfactory bulb, collapsin-1 prevents premature entry of sensory axons into their target and helps determine the final location of sensory terminations.
Bloader - a batch loader application for MIAMExpress

UNLABELLED BLoader is a client server application for annotating and loading large amounts of Microarray data into a local installation of the MIAMExpress database. A set of nested spreadsheets is used to collect the required MIAME annotation. Controlled vocabularies are downloaded from MIAMExpress and ArrayExpress databases to guarantee MIAME compliance. AVAILABILITY The application is available from the author at http://www.ansorge-group.embl.de/bloader CONTACT schwager@embl.de SUPPLEMENTARY INFORMATION For more details on BLoader visit the above web page.
Simulation of Urban Area through Opus : Open Platform for Urban Simulation

— Many countries of the world are currently suffering problems caused by speedily growing populations in urban areas, and both governments and human being has a duty to find ways to overcome these problems. Over population of urban areas has an increasing frequent population problem. Overpopulation can lead to overcrowding and poor quality housing in many grows cities. So upcoming problems like land use, transportation, and other environment problem will be faced by urban planner in future. UrbanSim is more general software platform to support integrated modelling, and has been launched with international imposition to use it and also for further development under the Open Platform for Urban Simulation (Opus). Researchers can use it at starting level modelling system support for transportation, land, and environmental planning in metropolitan areas. In recent year some application has been developed over the system in U.S. cities and abroad, including City Salt Lake, Detroit City, Honolulu City, Zürich City, Houston, Paris, Phoenix City, Seattle City, and, Eugene-Springfield. Simulation result obtained for the Aurangabad City is also presented in the paper.
Building complete training maps for indoor location estimation

Indoor location estimation is a significant task for many ubiquitous and pervasive computing applications, with numerous solutions based on IEEE802.11, bluetooth, ultrasound and infrared technologies. Most of these techniques use the fingerprint-based approach, which needs exhaustive collection of the received signal strengths in various positions of the physical space. In the present work, we exploit the spatial correlation structure of the fingerprints and use the framework of Matrix Completion to build complete training maps from a small number of random sample fingerprints. The experimental evaluation with real data presents the localization accuracy based on complete reconstructed training maps, without making an exhaustive collection of fingerprints.
A STUDY ON THE EFFECTIVENESS OF BOBATH APPROACH VERSUS CONSTRAINT INDUCED MOVEMENT THERAPY (CIMT) TO IMPROVE THE ARM MOTOR FUNCTION AND THE HAND DEXTERITY FUNCTION IN POST STROKE PATIENTS

A STUDY ON THE EFFECTIVENESS OF BOBATH APPROACH VERSUS CONSTRAINT INDUCED MOVEMENT THERAPY (CIMT) TO IMPROVE THE ARM MOTOR FUNCTION AND THE HAND DEXTERITY FUNCTION IN POST STROKE PATIENTS Bushra Rehman 1, Praveen Rawat 2 , Vaibhav Agarwal *3, Shiv Kumar Verma 4. 1 Physiotherapist, Max Hospital, Dehradun, India. 2 Assistant Lecturer, Physiotherapy Department, Swami Rama Himalayan University, HIMS, Jolly Grant , Dehradun, India. *3,4 Lecturer Physiotherapy Department Swami Rama Himalayan University, HIMS, Jolly Grant, Dehradun, India.
Effect of solids retention time on nitrogen and phosphorus removal from municipal wastewater in a sequencing batch membrane bioreactor

ABSTRACT This study evaluated the removal of organic matter, nitrogen and phosphate from a municipal wastewater in a sequencing batch membrane bioreactor (SBMBR) operated at different solids retention times (SRTs) and subjected to different aeration profiles. The results demonstrated that SRT reduction from 80 to 20 d had a negligible effect on chemical oxygen demand (COD) removal and only a slight negative effect on nitrification. COD removal efficiency remained stable at 97%, whereas ammonium removal decreased from 99% to 97%. The total nitrogen removal efficiency was improved by SRT reduction, increasing from 80% to 86%. Although the total phosphorus (TP) removal was not significantly affected by the SRT reduction, ranging from 40–49%, the P-release and P-uptake processes were observed to increase as the SRT was reduced. The implementation of a pre-aeration phase in the SBMBR operating cycle allowed a higher TP removal performance, which reached up to 76%. Batch tests suggested that the fraction of phosphate removed anoxically from the total (anoxic + aerobic) phosphate removal decreased with the SRT reduction.
The Transcriptome Analysis and Comparison Explorer - T-ACE: a platform-independent, graphical tool to process large RNAseq datasets of non-model organisms

MOTIVATION Next generation sequencing (NGS) technologies allow a rapid and cost-effective compilation of large RNA sequence datasets in model and non-model organisms. However, the storage and analysis of transcriptome information from different NGS platforms is still a significant bottleneck, leading to a delay in data dissemination and subsequent biological understanding. Especially database interfaces with transcriptome analysis modules going beyond mere read counts are missing. Here, we present the Transcriptome Analysis and Comparison Explorer (T-ACE), a tool designed for the organization and analysis of large sequence datasets, and especially suited for transcriptome projects of non-model organisms with little or no a priori sequence information. T-ACE offers a TCL-based interface, which accesses a PostgreSQL database via a php-script. Within T-ACE, information belonging to single sequences or contigs, such as annotation or read coverage, is linked to the respective sequence and immediately accessible. Sequences and assigned information can be searched via keyword- or BLAST-search. Additionally, T-ACE provides within and between transcriptome analysis modules on the level of expression, GO terms, KEGG pathways and protein domains. Results are visualized and can be easily exported for external analysis. We developed T-ACE for laboratory environments, which have only a limited amount of bioinformatics support, and for collaborative projects in which different partners work on the same dataset from different locations or platforms (Windows/Linux/MacOS). For laboratories with some experience in bioinformatics and programming, the low complexity of the database structure and open-source code provides a framework that can be customized according to the different needs of the user and transcriptome project.
Effect of motor current sampling method on motor torque ripple in high torque permanent magnet synchronous machine drives

High torque low speed direct drive permanent magnetic synchronous machines (PMSM) powered by variable speed drives are increasingly used in applications traditionally reserved for standard induction motors with gear-boxes. Our application experience shows that in such motors resonant frequency of the common mode current path can have unusually low value (comparable with the inverter switching frequency) which is for at least a decade lower than that normally expected in standard induction machines. Thus the drive inverter switchings can excite large common mode currents which appear as a strong low frequency disturbance in the motor currents causing significant errors in the motor current measurements and related motor torque ripple induced by the drive itself. Rejection of such strong low frequency disturbance in the motor current measurements appears to be far more problematic that the rejection of the standard motor current switching ripple or high frequency noise caused by the inverter switching. Our goal in this paper is to point out to this issue and investigate practically available options appropriate for its mitigation. It will be shown and experimentally demonstrated that the averaging sampling method is suitable for this purpose.
Ant Colony Optimization Based on Estimation of Distribution for the Traveling Salesman Problem

Ant Colony System algorithm is one of the best algorithms of ant colony optimization. However, the weaknesses of premature convergence and low efficiency greatly restrict its application. In order to improve the performance of the algorithm, a new Ant Colony Optimization algorithm based on Estimation of Distribution (ED-ACO) is presented. ED-ACO uses probabilistic model based on estimating the distribution of promising edges to adjust the state transition rule and the global updating rule. Furthermore, ED-ACO is significantly improved by extending with a local search procedure. We apply ED-ACO to traveling salesman problems and compare it to the previous finding. The results show that ED-ACO is an effective and efficient way to solve combinatorial optimization problems.
A gamma radiation dose calculation method for use with Lagrangian puff atmospheric dispersion models used in real-time emergency response systems

The paper presents the development of a model for the calculation of the gamma radiation dose rate from a cloud or plume of radionuclides. The model has been implemented in the Lagrangian puff dispersion model DIPCOT which is used in the framework of the RODOS system for nuclear emergency management. The basic characteristics of the model are its speed of execution and its ability to calculate the gamma dose rates from clouds or plumes of random shape formed under non-homogeneous meteorological conditions or over complicated topography. The three-dimensional integral that would normally have to be numerically calculated in such circumstances has been transformed to a one-dimensional one through a coordinate transformation for each model puff and by using a separation of variables technique. The resulting one-dimensional integrals have been pre-calculated and their values stored for a range of parameters that cover the possible ranges of photon energies, puff dimensions and distances encountered in cases of atmospheric dispersion. During runtime the model calculates the exact values by interpolation from stored tables of values. This is a very fast and accurate method, as the evaluation study has proved. The model performance has been evaluated through simulations of a real-scale experiment involving routine emissions of 41Ar from a reactor and comparisons of model predictions with measured fluence rates. The comparisons have revealed a satisfactory level of agreement and the model performance statistical indices are well above the acceptance criteria that are suggested in the literature.
VEHICLE DETECTION FROM AN IMAGE SEQUENCE COLLECTED BY A HOVERING HELICOPTER

This paper addresses the problem of vehicle detection from an image sequence in difficult cases. Difficulties are notably caused by relatively small vehicles, vehicles that appear with low contrast or vehicles that drive at low speed. The image sequence considered here is recorded by a hovering helicopter and was stabilized prior to the vehicle detection step considered here. A practical algorithm is designed and implemented for this purpose of vehicle detection. Each pixel is identified firstly as either a background (road) or a foreground (vehicle) pixel by analyzing its gray-level temporal profile in a sequential way. Secondly, a vehicle is identified as a cluster of foreground pixels. The results of this new method are demonstrated on a test image-sequence featuring very congested traffic but also smoothly flowing traffic. It is shown that for both traffic situations the method is able to successfully detect low contrast, small size and low speed vehicles.
An evaluation of current high-performance networks

High-end supercomputers are increasingly built out of commodity components, and lack tight integration between the processor and network. This often results in inefficiencies in the communication subsystem, such as high software overheads and/or message latencies. In this paper we use a set of microbenchmarks to quantify the cost of this commoditization, measuring software overhead, latency, and bandwidth on five contemporary supercomputing networks. We compare the performance of the ubiquitous MPI layer to that of lower-level communication layers, and quantify the advantages of the latter for small message performance. We also provide data on the potential for various communication-related optimizations, such as overlapping communication with computation or other communication. Finally, we determine the minimum size needed for a message to be considered 'large' (i.e., bandwidth-bound) on these platforms, and provide historical data on the software overheads of a number of supercomputers over the past decade.