Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of agro-meteorological indices on growth and productivity of potato ( Solanum tuberosum L . ) in Eastern India

183 Delay in the onset and withdrawal of monsoon creates a hurdle in land preparation for the winter season crop. There is a dire need to find a suitable date of planting under variable climatic scenario. Temperature and bright sunshine hours are the most important environmental factor affecting the yield of potato in West Bengal. Bishnoi et al. (1995) suggested to assess the impact of temperature through accumulated heat unit system. Temperature based agro meteorological indices such as growing day degree (GDD), heliothermal unit (HTU) and thermal use efficiency (TUE) are very useful tools for assessing the growth and yield of the crop (Nath et al., 1999). Knowledge of accumulated GDD and HTU may be used to project the developmental stages of a crop as well as its approximate date of harvest (Bonhomme, 2000; Wurr et al., 2002; Roy et al., 2005). West Bengal experiences short and mild winter. The winter crops are highly temperature sensitive and the temperature variability alters the duration of different phenophases (Parya et al., 2010). However, no proper documentation is available to assess the impact of temperature and bright sunshine hour on potato. The present experiment has been framed to address this lacuna.
Testing potential selective agents acting on leaf shape in Ipomoea hederacea: predictions based on an adaptive leaf shape cline

Leaf shape is a highly variable phenotype, and is likely influenced by many sources of selection. Ipomoea hederacea exhibits an adaptive latitudinal cline in leaf shape, which is controlled by a single Mendelian locus: lobed individuals dominate the north with entire-shaped individuals mostly in the south. We test if the following candidate selective agents, suggested by the literature, are responsible for the cline: differential insect herbivory, genetic correlations with other clinal traits like flowering time and growth rate, and thermoregulatory differences. We planted 1680 F3 individuals, segregating for leaf shape, in the north of I. hederacea's range, where we expected lobed genotypes to have higher fitness. Individuals were assigned to insect removal or control treatments, and we scored herbivory, flowering time, growth rate, leaf temperature, and fitness (seed number). Herbivory, flowering, and growth rate had significant fitness effects, but none differed between leaf shapes. Lobed leaves were consistently warmer at night, but no performance advantage was detected. Finally, we detected no overall fitness differences between leaf shape genotypes, whether we controlled for other traits under selection or not. Our data suggest these candidate selective agents may not be important contributors to the cline, and alternative approaches to understanding the mechanisms maintaining the leaf shape cline in I. hederacea may be necessary.
Target Localization in Indoor Environment using Channel Response of WLAN

Indoor positioning systems have received increasing attention for supporting location-based services in indoor environments. Indoor localization technologies address the inadequacy of global positioning system inside a closed environment, like buildings. GPS does not perform well in urban canyons, close to walls, buildings, trees, indoors, and in underground environments as the signal from the GPS satellites is too weak to come across most buildings thus making GPS ineffective for indoor localization Although there are many radio based technologies that can be used for indoor positioning, Wi-Fi-based indoor localization has been attractive due to its open access and no overhead cost properties. Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems. However, it suffers from dramatic performance degradation in complex situations due to multipath fading and temporal dynamics. The distance estimation based on received signal strength indicator (RSSI) is easily affected by the temporal and spatial variance due to the multipath effect, which contributes to most of the estimation errors in current systems. Channel state information is detail Channel response at subcarrier level. CSI explore the frequency diversity of the subcarriers in orthogonal frequency division multiplexing systems. A novel approach is proposed to utilize Chanel state information to build propagation model and a fingerprinting system at the receiver.
Epidemiological Status and Vector Identification of Bovine Trypanosomiosis in Didesa District of Oromia Regional State, Ethiopia

A cross sectional study was conducted in Didesa district of Oromia Regional State from November 2013 to June 2014 to determine the prevalence of trypanosomosis and tsetse density. Simple random sampling was used to select 556 cattle from the purposively selected four PAs for collection of blood sample. Buffy coat technique was used to determine prevalence of bovine trypansomiosis in the study area and trap was deployed for collection of tsetse flies. Blood sample was examined and it was found that 27 (4.86%) were parasitic positive. The prevalence was insignificant (P>0.05) in sex group, age, body condition score and between peasant association. But PCV between parasitemic and aparasitaemic is significant (p< 0.05). In this study the most common trypanosome species identified were T. congolense (17/27, 62.96%) followed by T. vivax (9/27, 33.33% and mixed T. vivax and T. congolense (1/27, 3.70%). The proportional prevalence of T. congolense is significantly higher (P=0.000) than the other trypanosome species. The mean PCV values recorded were 21.52% in parasitaemic and 28.49% in aparasitaemic animals with a statistical significant difference (P<0.05). About 40 traps were deployed for 48 hours (2 days) for collection of tsetse fly. A total of 557 flies were collected from a study area, of which the higher density was for tsetse fly 382 (4.90 flies per trap per day) followed by 137 Stomoxys, 32 Tabanus and 6 haematopta. Generally, this study showed that trypanosomosis is still present and becomes a constraint for livestock production of the study area. So control and prevention mechanisms must be continued to reduce prevalence of the disease and tsetse flies population.
Functional outcome of surgical treatment of dislocated distal metaphyseal epiphyseal forearm fractures.

The purpose of this paper is to analyze and compare three surgical techniques (ORIF – open reduction, internal fixation, EF – external fixation and Kapandji) used in our department for distal forearm fractures, under the aspect of their functional outcome. From 2009 to 2013 we followed and assessed, in terms of functional status, 120 patients who experienced a trauma which resulted in a fracture with displacement of the distal radius, with or without joint involvement (according to AO Classification) and received conservative treatment consisting of closed reduction of the fracture and immobilization in a cast and / or wrist immobilization brace, for a period of six weeks. Functional evaluation was done posttraumatic (immediately after reduction and immobilization in a cast or brace), at 3, 7, 21 days, 6 weeks, 3 months, 6 months and one year, and took into account both objective assessment (ROM and tolerance to medium and large effort) and subjective (VAS scale).
Monkeys Wait to Begin a Computer Task when Waiting Makes Their Responses More Effective

Rhesus monkeys (Macaca mulatta) and capuchin monkeys (Cebus apella) performed a co mputerized inhibitory control task modeled after an "escalating interest task" fro m a recent human study (Young, Webb, & Jacobs, 2011). In the orig inal study, which utilized a first-person shooter game, hu man part icipants learned to inhib it firing their simu lated weapon long enough for the weapon"s damage potential to grow in effect iveness (up to 10 seconds in duration). In the present study, monkeys earned food pellets for eliminating arrays of target objects using a digital eraser. We assessed whether monkeys could suppress trial-in itiating joystick movements long enough for the eraser to grow in size and speed, thereby making their eventual responses more effective. Monkeys of both species learned to inhibit mov ing the eraser for as long as 10 seconds, and they allo wed the eraser to gro w larger for successively larger target arrays. This study demonstrates an interesting parallel in behavioral inhibition between human and nonhuman participants and provides a method for future comparat ive testin g of human and nonhuman test groups.
Competing influences of emotion and phonology during picture-word interference

ABSTRACT Speaking is susceptible to distraction, illustrated by slowed picture naming in the presence of taboo distractor words. However, other distractors such as phonologically related words speed picture naming. Two experiments explored the simultaneous influences of these competing factors. Participants named target pictures superimposed with taboo, negative, positive, or neutral distractor words, and filler pictures were presented after every target to investigate emotional carryover effects. Distractors were phonologically related or unrelated to the target (Experiment 1) or filler (Experiment 2). Results showed that taboo, and to a lesser extent negative, distractors slowed picture naming relative to neutral and positive distractors, and slowing from taboo distractors persisted into the filler trial. In contrast, phonological overlap between targets and distractors sped target but not filler picture naming, especially when distractors were taboo. These findings suggest that strong emotional words engage attention to influence phonological encoding during speech production, and interfering effects from taboo words are particularly long lasting. Results are interpreted within existing language production theories, using mechanisms that are sensitive to words’ emotional properties and that regulate distractor interference during speech production.
Variability in the Propagation Phase of CFD-Based Noise Prediction: Summary of Results From Category 8 of the BANC-III Workshop

The usage of Computational Fluid Dynamics (CFD) in noise prediction typically has been a two part process: accurately predicting the flow conditions in the near-field and then propagating the noise from the near-field to the observer. Due to the increase in computing power and the cost benefit when weighed against wind tunnel testing, the usage of CFD to estimate the local flow field of complex geometrical structures has become more routine. Recently, the Benchmark problems in Airframe Noise Computation (BANC) workshops have provided a community focus on accurately simulating the local flow field near the body with various CFD approaches. However, to date, little effort has been given into assessing the impact of the propagation phase of noise prediction. This paper includes results from the BANC-III workshop which explores variability in the propagation phase of CFD-based noise prediction. This includes two test cases: an analytical solution of a quadrupole source near a sphere and a computational solution around a nose landing gear. Agreement between three codes was very good for the analytic test case, but CFD-based noise predictions indicate that the propagation phase can introduce 3dB or more of variability in noise predictions.
Flutes vs. Cellos: Analyzing Mobility-Traffic Correlations in Large WLAN Traces

Two major factors affecting mobile network performance are mobility and traffic patterns. Simulations and analytical-based performance evaluations rely on models to approximate factors affecting the network. Hence, the understanding of mobility and traffic is imperative to the effective evaluation and efficient design of future mobile networks. Current models target either mobility or traffic, but do not capture their interplay. Many trace-based mobility models have largely used pre-smartphone datasets (e.g., AP-logs), or much coarser granularity (e.g., cell-towers) traces. This raises questions regarding the relevance of existing models, and motivates our study to revisit this area. In this study, we conduct a multidimensional analysis, to quantitatively characterize mobility and traffic spatio-temporal patterns, for laptops and smartphones, leading to a detailed integrated mobility-traffic analysis. Our study is data-driven, as we collect and mine capacious datasets (with 30TB, 300k devices) that capture all of these dimensions. The investigation is performed using our systematic (FLAMeS) framework. Overall, dozens of mobility and traffic features have been analyzed. The insights and lessons learnt serve as guidelines and a first step towards future integrated mobility-traffic models. In addition, our work acts as a stepping-stone towards a richer, morerealistic suite of mobile test scenarios and benchmarks.
Estimating intake of omega-3 fatty acids during pregnancy

The essential omega 3 (n-3) fatty acid alpha-linoleic acid (ALA) and the n-3 fatty acids eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) are important structural components of cell membranes. During pregnancy a steady supply of n-3 fatty acids is required to support positive fetal development (1-4) and maternal health (5-9). Over the past decade, extensive clinical research has focused on the role of DHA during pregnancy because it is incorporated into fetal brain grey matter and retina cell membranes more than any other n-3 fatty acid (4). Previous clinical research shows DHA intake during pregnancy supports positive fetal visual acuity and motor skills. No known studies have the primary objective of determining the association of the food frequency questionnaire (FFQ) estimated intakes with some other dietary assessment tool and blood biomarkers for total and individual n-3 fatty acids in pregnant women from noncoastal communities. The objective of the present study was 1) to determine the ability of the semi-quantitative FFQ to estimate intake of total n-3, ALA, EPA, DPA, and DHA and 2) to examine the relationship between the semi-quantitative FFQ and weighed 3-day diet record (3dDR) intake with plasma phospholipids (PLs) and RBC esterified fatty acids (phoshatidylethanolamine (PE) and phosphatidylcholine (PC)) for total and individual n-3 fatty acids (ALA, EPA, DPA, and DHA) in pregnant women from two non-coastal communities. It was hypothesized that 1) a significant association between the FFQ and 3dDR for total and individual n-3 fatty acid estimated intakes would be found and 2) total and individual n-3 fatty acid intakes estimated from the FFQ would show strong correlations with RBC PE and PC total and individual n-3 fatty acid compositions. Intake of total and individual n-3 fatty acids were estimated using the FFQ and weighed 3dDR in 136 healthy, pregnant women between 15-34 weeks gestation during a prospective observational study. A subset of subjects of64 pregnant women (25-31 weeks of gestation) were used to
Optimization of Process Parameters of D . I Engine by Taguchi Method for Tri Fuel

With modernization and increase in the number of automobiles worldwide, the consumption of diesel and gasoline has enormously increased. In this experiment tri fuel concept was used according to that diesel and turpentine different proportion bled introduced in diesel engine and acetylene entre in the diesel engine through intake manifold in the diesel engine. Among the many process parameters, bled ratio, injection pressure and load was selected to perform the experiment and by using Taguchi techniques L9 orthogonal array run set prepared to perform the experiment and SFC was the output parameter in this experiment after run the experiment according to run set got the optimum set of SFC. KeywordsDiesel Engine, L9 Orthogonal Array, Tri Fuel
VIMOS - Autonomous Image Analysis on Board of BIROS

Abstract Some events on the Earth's surface require a fast and well coordinated reaction, such as disasters like earthquakes, floods, the occurrence of drifting icebergs or illegal activities like piracy or cleaning of oil tankers polluting the sea. Field help and prompt intervention can be supported by the examination of images recently acquired by Earth observing satellites. The extraction of useful information out of image data in real-time directly on board a spacecraft can shorten the timespan between image acquisition and an appropriate reaction drastically. This is one of two major aspects of image analysis on board a satellite. Secondly, if the amount of unusable data and/or the degree of cloudiness of a currently acquired scene is known on board, affected images can be (partially) discarded, which leads to an optimized usage of storage and downlink capacity. VIMOS will be a collection of image processing and remote sensing algorithms, running as an experiment on board of the German satellite BIROS. The purpose of VIMOS is a first demonstration of algorithms applied to data of optical sensors, dedicated to an operation on board a satellite, like e.g. cloud detection, change detection and object recognition. VIMOS will be able to send a trigger message to the autonomous on board mission planning unit, which can check possibly modified conditions on board, and react accordingly e.g. by planning a new timeline.
Information Technology Implications of IFRS Implementation in Nigeria: Challenges to Auditors

The adoption of IFRS as the reporting standards in Nigeria has brought with it changes in the accounting systems. IT changes is one essential aspect of concern in the IFRS implementation especially considering its effects on audit practice. These issues defined the focus of this paper. The survey research design was adopted. Auditors in audit accounting firms in Anambra and Akwa Ibom states of Nigeria were the targeted respondents. 120 auditors were randomly selected using convenience and judgemental technique. Data were collected using a 5-point Likert scale questionnaire. The data were analysed using the descriptive statistic such as averages, weights and ranking. It was discovered that the technology changes as a result of IFRS implementation requires high IT expertise from auditors as they need to understand the up to date software. It was therefore recommended that auditors should take up the challenge of updating their knowledge and skills with regard to IFRS and information technology in order to brace up for the challenges ahead. Similarly, accountancy training institutions such as tertiary institutions and professional tuition homes should update their curriculum to be in tune with the demands of IFRS; IFRS training packs and software should be made affordable in Nigeria.
Learning 3D Shape Completion from Laser Scan Data with Weak Supervision

3D shape completion from partial point clouds is a fundamental problem in computer vision and computer graphics. Recent approaches can be characterized as either data-driven or learning-based. Data-driven approaches rely on a shape model whose parameters are optimized to fit the observations. Learning-based approaches, in contrast, avoid the expensive optimization step and instead directly predict the complete shape from the incomplete observations using deep neural networks. However, full supervision is required which is often not available in practice. In this work, we propose a weakly-supervised learning-based approach to 3D shape completion which neither requires slow optimization nor direct supervision. While we also learn a shape prior on synthetic data, we amortize, i.e., learn, maximum likelihood fitting using deep neural networks resulting in efficient shape completion without sacrificing accuracy. Tackling 3D shape completion of cars on ShapeNet [5] and KITTI [18], we demonstrate that the proposed amortized maximum likelihood approach is able to compete with a fully supervised baseline and a state-of-the-art data-driven approach while being significantly faster. On ModelNet [49], we additionally show that the approach is able to generalize to other object categories as well.
Geometric dynamics of optimization

This paper investigates a family of dynamical systems arising from an evolutionary re-interpretation of certain optimal control and optimization problems. We focus particularly on the application in image registration of the theory of \emph{metamorphosis}. Metamorphosis is a means of tracking the optimal changes of shape that are necessary for registration of images with various types of data structures, without requiring that the transformations of shape be diffeomorphisms. This is a rich field whose possibilities are just beginning to be developed. In particular, metamorphosis and its related variants in the geometric approach to control and optimization can be expected to produce many exciting opportunities for new applications and analysis in geometric dynamics.
Dispersion model evaluation of PM2.5, NOx and SO2 from point and major line sources in Nova Scotia, Canada using AERMOD Gaussian plume air dispersion model

Abstract AERMOD was used to model the air dispersion of point and major line emissions of PM 2.5 in Halifax and Pictou, NO X in Halifax and SO 2 in Halifax, Sydney and Port Hawkesbury, Nova Scotia, Canada. Emission inventory data for 2004 were used in simulations within four, 50 km x 50 km, domains over annual, monthly and 1–hour averaging periods. Annual averaged surface concentration maps are reported. Modeled versus observed comparisons were made within each domain at the Government, National Air Pollution Surveillance (NAPS) monitoring sites (discrete receptors). Evaluation of the model was conducted on the annual, monthly and hourly results using a number of statistical methods that included R 2 , fractional bias, normalized mean square error and the fraction of predictions within a factor of two of the observations. The AERMOD model evaluation showed that there was good agreement between the modeled and observed SO 2 concentration for the annual and monthly comparison but less skill at estimating the hourly comparisons for SO 2 in Halifax and Sydney. AERMOD showed poor model skill at predicting SO 2 in Port Hawkesbury over the same averaging periods. The model evaluation for PM 2.5 in Halifax, PM 2.5 in Pictou and NO X in Halifax showed poor agreements and model skill. The surface concentrations from the point and major lines sources in all domains from all metrics were found to be well below the National Air Quality Standards. AERMOD has shown its utility as a suitable model for conducting dispersion modeling from point and line sources in Nova Scotia with good model skill for estimating annual and monthly SO 2 concentrations in Halifax and Sydney. The study highlights the validity of using emission inventory data to estimate the surface impact of major point and line sources within domains containing complex terrain, differing land use types and with large variability within the annual meteorology.
Diversity of migratory nematode endoparasites of banana

Banana, Musa spp. is an important fruit crop of the tropics and sub-tropics grown in nearly about 107 countries of the world, primarily for their fruit, and to a lesser extent for fibre, banana wine and banana beer. India, China, Philippines and Indonesia are the major banana producers in Asia. India is contributing 48% as against 17% in China to the total production in Asia from 37% and 15% of total area, respectively. Among various continents, Asia has the lion’s share of 60% in global banana production (Mustaffa, 2011).
High accuracy and transferability of a neural network potential through charge equilibration for calcium fluoride

Somayeh Faraji,1 S. Alireza Ghasemi,1,* Samare Rostami,1 Robabe Rasoulkhani,1 Bastian Schaefer,2 Stefan Goedecker,2 and Maximilian Amsler3 1Institute for Advanced Studies in Basic Sciences, P.O. Box 45195-1159, Zanjan, Iran 2Department of Physics, Klingelbergstrasse 82, 4056 Basel, Switzerland 3Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, USA (Received 14 November 2016; revised manuscript received 15 January 2017; published 16 March 2017)