Miracle-dz/UniFAR-FTUs huggingface dataset:
Leaf area of sugarcane varieties and their correlation with biomass productivity in three cycles

The objective of this work is to study the leaf area and biomass production of 4 sugarcane varieties in cane plant cycles, first and second regrowth. The experiment was conducted at Fazenda Jequiá in the state of Alagoas, Brazil. A randomized block design with 5 replications was used. The treatments were 4 cultivars: RB92579, SP813250, RB867515 and VAT90212. The length and width of the sheet + 3 were determined as well as the following parameters; the number of tillers per square meter, the number of green leaves, leaf area, and leaf area index in most growing sugarcane in the three crop cycles. The productivity of shoot dry biomass was determined at the time of cane maturity in 3 cycles. Univariate and multivariate analyses were performed. The larger leaf area index of 4.46 m 2 m -2 was observed for RB92579 in plant cane cycle. The dry biomass yield was not influenced by varieties having average values of 47, 41 and 31 t ha -1 in the sugarcane plant cycles in the first and second regrowth, respectively. The principal component analysis enabled us to identify from Current Population Survey (CPs) variance which component can contribute to the explanation of the data.
Decontamination of 4-chloro-2-nitrophenol from aqueous solution by graphene adsorption: equilibrium, kinetic, and thermodynamic studies

Chloro-2-nitrophenol (4C2NP) is an important chemical widely used in the pharmaceuticals, herbi- cide, and pesticide industries. The ability of graphene to remove 4C2NP from aqueous solutions was per- formed as a function of contact time, amounts of adsorbent, pH, initial 4C2NP concentrations, and tempera- tures using a batch technique. Based on the results, the amount of 4C2NP adsorption increased with increas- ing initial concentration, whereas the alkaline pH range, higher graphene dosage, and higher temperature were unfavorable. Non-linear regression methods suggest that the isotherm data can be well described by the Freundlich isotherm equation. The adsorption kinetic data were analyzed using the non-linear rate equations of pseudo-first and pseudo-second order. It was found that the pseudo-second-order kinetic model was the most appropriate model, describing the adsorption kinetics. The observed changes in the standard Gibbs free energy (ΔGo), standard enthalpy (ΔHo), and standard entropy (ΔSo) show that the adsorption of 4C2NP by graphene is feasible, spontaneous, and exothermic in the temperature range 298-328 K.
ACRYLAMIDE RESULTING FROM HEAT-TIME TREATMENT IN CAJANUS CAJAN

The influence that heat-time treatment has on the concentration of acrylamide in roasted Cajanus cajan was analysed. The study focussed on optimising the roasting conditions using Response Surface Methodology (RSM) to minimise concentration of acrylamide in roasted Cajanus cajan. The raw Cajanus cajan was soaked in solvent containing an additive of either citric or phosphoric acid in the range 0.1 – 1.0 (g or mL). The soaked Cajanus cajan was then dried and roasted. The roasting conditions used were temperatures from o 80 – 120 C and time of 10 60 min. Response Surface Methodology (RSM) analysis of the data showed that the concentration of acrylamide significantly increased as the roasting temperature and roasting time for processing increased (p<0.05). Citric acid and phosphoric acid used as additives in soaking the Cajanus cajan had no significant effect on acrylamide formation. The optimization of process parameters to give low concentration of acrylamide resulted in roasting temperature of 80 oC, roasting time of 10 min and 0.1 g of citric acid with the maximum desirability of 0.972. Acrylamide concentration in roasted Cajanus cajan produced with optimized condition (80 oC, 10 min and 0.1 g citric acid) was 1.757 g/kg.
Thermodynamics of a Carbon NanoMaterials Based Icing Protection System for Unmanned Aerial Vehicle

Changes to the aerodynamic surfaces due to ice accretion are common causes for unmanned aerial vehicle (UAV) incidents in regions where the environmental conditions sustain icing conditions. For fixed wing UAVs the leading edge of airfoil surfaces is one of the primary surfaces exposed to these changes, causing a significant reduction in aerodynamic ability, i.e. decreasing lift and manoeuvrability, and increasing drag, weight, and consequently power consumption. Mitigating or altogether preventing ice accretion could potentially prevent icing related UAV incidents and increase the operability of UAVs. In recent years, proposed mitigating solutions to ice accretion (ice protection systems IPS) make use of an electrically powered thermal source applied to the leading edge of airfoils. Such solutions are naturally highly susceptible to energy dissipation, i.e. energy lost to the surroundings and airfoil, due to thermal flux. This paper investigates the thermodynamic system, consisting of the aircraft aifoil, a thermal source, and ambient conditions, as energy is supplied to the thermal source, by an external energy supply. The thermal source, referred to in the work presented here, is an electrically conductive coating (or paint) based on carbon nano-materials which is part of an IPS that has been proposed for small UAVs. The investigation is based on numerical simulations applying a transient finite element approach to account for the multidimensional boundary conditions that vary along the chord of the airfoil.
A novel SNP (c.258+43C>T) in LPL gene and association with milk production in buffaloes

Buffalo milk is the most preferred commodity in Pakistan due to high fat contents. Hydrolysis of circulating triglycerides and uptake of fatty acids in the mammary gland is regulated by lipoprotein lipase (LPL). T his study is designed to identify single nucleotide polymorphisms (SNPs) in LPL gene among high and low milk producing buffalo breeds of Pakistan. We selected samples (n=50) of each Nili-Ravi a high milk producing and Azakheli a low milk producing buffalo breeds. Blood samples were collected for DNA extraction. LPL region of exon 2 region along with exon/intron boundaries were sequenced and data was analyzed for variation detection. Allele frequency was calculated using Hardy-Weinberg equation and in-silico analysis was performed for functional prediction and genetic diversity assessment. We found one single nucleotide polymorphism c.258+43C>T in the intronic region of LPL gene. This polymorphism followed the Hardy-Weinberg equilibrium in both Nili-Ravi (P-value = 0.538) and Azakheli (P-value = 0.077). Association of T-allele analysis predicted it significantly higher (P-value = 0.009) in Nili-Ravi. We found one novel SNP (c.258+43C>T) in the LPL gene in both high and low milk producing buffalo breeds of Pakistan but high in Nili-Ravi. Lower splice site effect suggests its less strength of association with milk producing trait.
An Empirical Study on the Impact of Operational Asset Quality on Firm Value

Based on the financial data of new energy listed companies from 2011 to 2015, this paper studies the impact on the value of the enterprise by using the panel data to have an empirical research, and constructs the regression model of Tobin’s Q from four aspects—the existence, the turnover, the value-added and the realization. The results show that the characteristic attribute of operating assets has a significant effect on the enterprise value of new energy listed companies.
IMPACT OF WORKING CAPITAL MANAGEMENT ON PROFITABILITY

The main purpose of this study is to empirically test the impact of working capital management on profitability . To investigate this relationship between these two, the author collected secondary data from Glaxo Smith Kline pharmaceutical company registered in Karachi stock exchange for the period of 1996-2011. For this purpose, in this study we use variable of return on assets ratio to measure the profitability of company and variables of account receivable turnover, creditors turnover, inventory turnover and current ratio as working capital management criteria. The results of the research show that there is a significant impact of the working capital management on profitability of company. Therefore, managers may enhance the profitability of their firms by minimizing the inventory turnover, account receivables ratio and by decreasing creditors turnover ratios but there is no significant effect of increasing or decreasing the current ratio on profitability. So, the results indicate that through proper working capital management the company can increase its profitability. This study will benefit the Pharmaceutical companies in the management of their working capital in such an efficient manner so that they can multiply their profitability.
DFT Simulation of Dynamic Charge States in Double Silicon Quantum Dots

Satoshi Higashijima†, Shunichiroh Sawai, Yoshishige Tsuchiya , Masakuni Okamoto, Hiroshi Mizuta , and Shunri Oda 3, 4 Quantum Nanoelectronics Research Center, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8552, Japan Mechanical Engineering Research Lab. , Hitachi Ltd., Ibaraki, Japan Department of Physical Electronics, Tokyo Institute of Technology, Tokyo, Japan SORST, JST (Japan Science and Technology) *Phone: +81-3-5734-3854 FAX: +81-3-5734-2542 E-mail: higashi@neo.pe. titech.ac. jp
Teachers' perspective on the Namibian portfolio for languages: three years after implementation

The Namibian Portfolio for Languages (NPL) was conceived in 2013 by five Namibian educators and distributed to seven Namibian secondary schools to approximately 500 pupils learning French as a foreign language. Since its implementation, the impact of the NPL is researched both on pupils and teachers by the University of Namibia French section, in order to assess its learner-centered pretensions, its formative assessment capacity, and its support in self-assessment. This paper looks into teachers’ feedback on the NPL practicality in and outside the classroom environment after three years of implementation. Furthermore, it aims at assessing NPL’s relevance as a tool to the benefit of self-assessment and formative assessment.
EFFECT OF DIETARY ENERGY AND CORN GLUTEN FEED ON THE PERFORMANCE OF GROWING WHITE PEKIN DUCKS.

A factorial design experiment (3x3) was performed to study the effect of three levels of energy (2800, 3000 and 3200 Kcal ME/Kg) and three levels of corn gluten feed, CGF (0, 8 and 16%) on growth performance and economical efficiency of White Pekin ducklings. A total number of 270 unsexed two-weeks-old White Pekin ducklings were randomly distributed among 9 treatment groups (30 ducklings each) nearly equal in average live body weight. Each group was subdivided into three replicates each of 10 ducklings. Growth performance, some carcass traits, blood constituents and economical efficiency were studied. The results obtained could be summarized as follows: Live body weight and daily weight gain were significantly (P<0.05) higher with the 3000 Kcal ME/Kg diet energy level at most experimental period. During the starter (2 to 7 weeks age) and the whole experimental (2 to 12 weeks age) periods, improved (P<0.05) feed conversion values were noticed with the 3000 Kcal ME/Kg diet energy level. Ducklings fed the level of 8% corn gluten feed possessed significantly (P<0.05) higher live body weight at 7 and 12 weeks of age than those fed 0 or 16% corn gluten feed. The best feed conversion value was found with ducklings fed 8% CGF. Liver, heart, total giblets and abdominal fat percentages were significantly (P<0.05) affected by dietary energy level. The previous carcass traits increased with increasing dietary energy level in Pekin duckling diets. However, no significant effects of dietary energy level on gizzard, carcass and dressing weight percentages of Pekin ducklings were observed. It is worth to note that, liver, heart, carcass and dressing percentages were increased significantly (P<0.05) with the increasing the dietary corn gluten feed from 0 to 16%. Increasing the dietary energy level from 2800 to either 3000 or 3200 Kcal ME/Kg diet caused a significant (P<0.05) increase in cholesterol blood values. Ducklings fed the diet
Edinburgh Research Explorer Situational Object Boundary Detection

Intuitively, the appearance of true object boundaries varies from image to image. Hence the usual monolithic approach of training a single boundary predictor and applying it to all images regardless of their content is bound to be suboptimal. In this paper we therefore propose situational object boundary detection : We ﬁrst deﬁne a variety of situations and train a specialized object boundary detector for each of them using [10]. Then given a test image, we classify it into these situations using its context, which we model by global image appearance. We apply the corresponding situational object boundary detectors, and fuse them based on the classiﬁcation probabilities. In experiments on ImageNet [35], Microsoft COCO [24], and Pascal VOC 2012 segmentation [13] we show that our situational object boundary detection gives signiﬁcant improvements over a monolithic approach. Additionally, our method substantially outperforms [17] on semantic contour detection on their SBD dataset.
Inhibition of immobilized acetylcholinesterase by aflatoxin B1 in a potentiometric biosensor

© 2016 K. V. Stepurska et al.; Published by the Institute of Molecular Biology and Genetics, NAS of Ukraine on behalf of Biopolymers and Cell. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited
Staphylococcus aureus Bacteremia Complicated by Psoas Abscess

Staphylococcus aureus (S. aureus) is a versatile pathogen capable of producing several types of toxins often associated with food poisoning and life-threatening infections. We herein describe the case of a 69-year-old non-diabetic woman presented with diarrhea, buttock pain and fever, which was finally identified as an iliopsoas abscess. Blood and pus cultures were positive for methicillin-resistant S. aureus. Following a full course of antibiotics and abscess drainage, our patient recovered uneventfully. Complications of S. aureus bacteremia are often difficult to identify. Clinical picture of psoas abscess is nonspecific and the common role of S. aureus playing for septic manifestations is complicated. Raised awareness, early diagnosis, and appropriate treatment are crucial to avoid debilitating complications and mortality associated with S. aureus infection.
Analysis and Compensation About Temperature Influence to Optical-Fiber Gyro Zero Bias

Abstract Compared to other gyro the dynamic performance of optical-fiber gyro was better and the price was cheap. Optical-fiber gyro was suit to build SINS. By the way, zero bias of optical-fiber gyro was sensitive to temperature, and the compensation technique was a hot point in INS research. According to the above situation, based on one type optical-fiber gyro, the influence mechanism about temperature to optical-fiber gyro zero bias was studied, and a test method was designed, the experiment results was analyzed, finally based on multinomial simulation a compensation math model was established, and the research result discovered that temperature was a big influence to optical-fiber gyro zero bias, and it can be fixed by a compensation math model based on multinomial simulation.
Fully Integrated 60 GHz Power Amplifiers in 45 nm SOI CMOS by

With the rapid growth of consumer demand for high data rates and high speed communications, the wireless spectrum has become increasingly precious. This has promoted the evolution of new standards and modulation schemes to improve spectral efficiency. The allocation of large bandwidths is an alternative to increase the channel capacity and data rate, however the availability of spectrum below 10 GHz is very limited. Recently, the 60 GHz spectrum has emerged as a potential candidate to support multi-Gb/s applications. It offers 7 GHz of unlicensed spectrum, for development of Wireless Personal Area Networks (WPAN) and Wireless HD streaming. Meanwhile, the scaling and advancement of low-cost complementary metal-oxide semiconductor (CMOS) technologies has enabled the use of CMOS devices at millimeter wave frequencies and the integration of analogue and digital circuitry has created platform for single chip radio development. However, low power density, low optimum load resistance and poor quality integrated passives (due to lossy silicon substrate) make CMOS technology a poor candidate for power amplifier (PA) design, compared to silicon germanium and Group III-V technologies (gallium nitride, gallium arsenide and indium phosphide). In order to overcome the above mentioned challenges in CMOS, this thesis explores FET-stacking as a power combining technique at 60 GHz using 45nm silicon-on-insulator (SOI) CMOS for millimeter-wave PAs. The stacking approach enables the use of higher supply voltages to obtain higher output power, and its higher load line resistanceRopt allows for the use of low impedance transformation matching networks. The reliability of CMOS PA under large signal operation is also addressed and improved with the FET-stacking approach applied in this work. This thesis divides the millimeter-wave PA design problem in to two areas, active and passive, both of which are critically designed for optimum performance in terms of efficiency and output power while taking device and substrate parasitics into consideration. A transistor unit cell combination topology, the ’Manifold’, has been analyzed and applied in 45 nm SOI CMOS for large RF power transistor cells. Moreover, various topologies of slow wave coplanar waveguide (CPW) lines are analyzed and implemented on the SOI substrate to synthesize inductors for matching networks at 60 GHz. To demonstrate the active and passive design performance in 45nm SOI CMOS at 60 GHz, a two-stage cascode PA is presented. Measurement under continuous wave (CW) stimulus shows 18.1 dB gain, a 3 dB bandwidth of 19%, 14 dBm saturated output power at 21% peak power-added efficiency (PAE). Moreover, to validate the FET-stacking analysis, a three-stack PA is designed with an output performance of 8.8 dB gain, a 3 dB bandwidth
CFD simulations of a full-scale tidal turbine: comparison of LES and RANS with field data

CFD simulations have been performed for a geometry-resolved full-scale tidal-stream turbine and compared with experimental data from the EMEC test site in the Orkney Isles. The mesh comprises two regions: a rotating part, containing the turbine, and a stationary outer part, including the support tower. A sliding-mesh interface couples the two parts. Initially, Reynolds-averaged Navier-Stokes and large-eddy simulations were performed using an inflow velocity profile representative of the test site but low inflow turbulence, yielding satisfactory mean power coefficients. LES with synthetic turbulence prescribed at inlet was then employed to try to predict realistic load fluctuations. Load fluctuations (power, thrust and blade bending moments) may arise from onset mean velocity shear, influence of the support tower, blade-generated turbulence, approach-flow turbulence and waves. Inflow statistics were prescribed to match the vertical distribution of mean velocity, Reynolds stresses and length scales determined from a channel-flow simulation, with additional factoring of stresses and length scales to match as far as possible those measured on-site. LES simulations with synthetic turbulence at inflow satisfactorily reproduces the spectral distribution of blade bending moments provided that spectra are normalised by variance to reflect the relatively small number of rotations computed. Keywords— Tidal-stream turbine; computational fluid dynamics; large-eddy simulation; synthetic-eddy modelling; load spectra.
Neural Networks and the Study of Time Series: An Application in Engineering Education

Time series are an important object of study in sciences, engineering and business, especially in cases where it is expected to know, predict and optimize behaviors. In this context, we intend to show the feasibility of using artificial neural networks in the study of several time series in an engineering course, especially those that have no overt behavior or are not able to be modeled mathematically in a simple way and have direct application in the education of future engineers.
A Radio Frequency Study of the Accreting Millisecond X-ray Pulsar, IGR J16597–3704, in the Globular Cluster NGC 6256

We present Karl G. Jansky Very Large Array radio frequency observations of the new accreting millisecond X-ray pulsar (AMXP), IGR J16597−3704, located in the globular cluster NGC 6256. With these data, we detect a radio counterpart to IGR J16597−3704, and determine an improved source position. Pairing our radio observations with quasi-simultaneous Swift/XRT X-ray observations, we place IGR J16597−3704 on the radio–X-ray luminosity plane, where we find that IGR J16597−3704 is one of the more radio-quiet neutron star low-mass X-ray binaries known to date. We discuss the mechanisms that may govern radio luminosity (and in turn jet production and evolution) in AMXPs. Furthermore, we use our derived radio position to search for a counterpart in archival Hubble Space Telescope and Chandra X-ray Observatory data, and estimate an upper limit on the X-ray luminosity of IGR J16597−3704 during quiescence.
Peptidomic and Bioinformatic Analysis to Evaluate the Application of Peptides from Latex of Hevea brasiliensis Clone BPM24

Peptidomic analysis coupled with mass spectrometry identification was employed to investigate the constitutively expressed peptides in latex serum Phytophthora-resistant rubber tree (Hevea brasiliensis), BPM24. The utilization of proteins and peptides as a strategy to study new methods can lead to a therapeutic application. However, a high-efficiency method to extract peptides from latex serum is not well established. After optimization of latex serum isolation from natural rubber latex, using of lysis solution for peptide extraction exhibited superior serum peptide recovery than using other chemical reagents. Ultrafiltration followed by solid-phase extraction was selected to achieve high extraction yield of low molecular weight proteins and peptides. Mass spectrometric and bioinformatics analysis characterized and predicted the identified protein and peptide contents. All latex serum peptide fractions from C18 reversed-phase chromatography possessed effectiveness of antifungal activity against three tested plant fungal including A. brassicicola, C. lunata and M. grisea with different MIC in the range 250-2,000 μg/ml from different peptide fraction. Moreover, Etotal (E1-E5 pooled together) from lysis solution extraction was found to able to inhibit three tested plant fungal at MIC 500 μg/ml. Moreover, B. cereus and E. faecium were the sensitive gram-positive bacteria with MIC in the range 250-4,000 μg/ml. However, all gram-negative bacteria were not affected by 4,000 μg/ml. Among these tested pathogens, plant fungal was quite sensitive to our peptide product. Etotal from lysis solution extraction will be the best candidate for using further in antifungal testing of other plant fungal both in vitro and in vivo. The further investigation and application will lead to possible use of latex serum as a great biotechnological resource to develop peptide –based product for the treatment of plant infection.