Miracle-dz/UniFAR-FTUs huggingface dataset:
A COMPARISON OF RELATIVE GROWTH RATES OF DIFFERENT INDIVIDUAL PLANTS AND DIFFERENT CULTIVARS OF ONION OF DIVERSE GEOGRAPHIC ORIGIN AT TWO TEMPERATURES AND TWO LIGHT INTENSITIES

SUMMARY (1) The relative leaf growth rates (RA) and relative growth rates (Rw) of seedlings of eight onion cultivars of diverse geographic origin were compared at 10 IC and 20 0C under 120 Wm-2 of irradiation and also under 40 Wm-2 at 10 0C. (2) Growth rates were estimated from successive destructive samples from each cultivar in the first series of experiments and in a second series of experiments from the leaf area of each individual plant successively determined non-destructively. Different seed stocks of the cultivars were used in the two series of experiments. (3) There was a wide range in RA between different individual plants. This range depended on cultivar and environment. Because of this the non-destructive measurement technique proved more useful than the more conventional destructive sampling. (4) In the second series of experiments there were highly significant differences between cultivars in mean RA. In the first series there was evidence for cultivar differences of mean RA and Rw, but the differences were smaller and did not show exactly the same ranking as in the second more precise experiments. Therefore the differences between populations in mean RA may have been associated with seed stock rather than cultivar. (5) There was no relation between mean RA and the latitude of origin, normal sowing date, or whether the cultivar was open-pollinated or a hybrid. (6) In the second series of experiments differences in RA accounted for 61% of the variation in log final dry wt. (7) It was shown that RA could be satisfactorily estimated from just two non-destructive measurements during the course of growth and it is suggested that this could form the basis of a screening programme to select genotypes with a high mean RA under low temperature conditions.
15-BODY FAT PROFILE AND METABOLIC DISORDERS BETWEEN MILITARIES OF II CENTER OF AIR DEFENSE AND CONTROL OF AIR TRAFFIC CINDACTA II

INTRODUCTION It is a fact that excessive quantities of fat in the human body can threaten the human health, being directly responsible for a large number of cardiovascular diseases, hypertension, diabetes and cancer, to name but a few (KATZMARZYK, 2005; RAHMOUNI,2005; ROBINSON, 2005; St-Pierre, 2005). Due to this fact, an effective, fast and inexpensive method of detecting and fighting the prevalence of overweight, obesity and metabolic alteration risks has been established the Body Mass Index (BMI) as it is more commonly referred to. The American College of Sports Medicine (2006) makes use of this system and warns that high scores in the height/weight relation in human beings is undoubtedly connected to the occurrence and development of heart diseases. The overall distribution of fat in the human body is one of the aspects of adiposity that has been drawing the attention of the medical world in recent years. Vague (1956) has developed a male differentiation index that classified body fat in android fat and gynoid fat. Android fat is the name given to the fat found in male individuals, mostly in the abdominal area, while gynoid fat is the name given to the fat which is commonly found in female individuals, concentrated in the hips and thigh areas. Years later, Larsson et al., (1984) discovered connections between the ratio wait-to-hip circumference and the occurrence of heart attacks, strokes and even premature death cases. The topography of the body fat has appealed to the attention of the medical society worldwide. Doctors specialized in obesity and overweight cases have been studying it and found out a large number of metabolic complications associated with the abdominal fat, as well as with the fat which can be found in the upper areas of the human body, such as coronaryan diseases risk, glucose intolerance, diabetes, hypertension and others (SIRONI, 2004; BECKLEY, 2005; POIRIER, 2005). This study aims at verifying the profile of the body fat found in militaries of both sexes, and the risks of metabolic alterations.
Spectral X-ray CT for Fast NDT Using Discrete Tomography

We present progress in fast, high-resolution imaging, material classification, and fault detection using hyperspectral X-ray measurements. Classical X-ray CT approaches rely on data from many projection angles, resulting in long acquisition and reconstruction times. Additionally, conventional CT cannot distinguish between materials with similar densities. However, in additive manufacturing, the majority of materials used are known a priori. This knowledge allows to vastly reduce the data collected and increase the accuracy of fault detection. In this context, we propose an imaging method for non-destructive testing of materials based on the combination of spectral X-ray CT and discrete tomography. We explore the use of spectral X-ray attenuation models and measurements to recover the characteristic functions of materials in heterogeneous media with piece-wise uniform composition. We show by means of numerical simulation that using spectral measurements from a small number of angles, our approach can alleviate the typical deterioration of spatial resolution and the appearance of streaking artifacts.
Optimal Precursors Identification for North Atlantic Oscillation using CESM and CNOP Method

Abstract. The North Atlantic Oscillation (NAO) is the most prominent atmospheric seesaw phenomenon in the North Hemisphere. It has a profound influence on the westerly wind strength and storm tracks in North Atlantic, which further affect the winter climate in Northern Hemisphere. Therefore, the identification for optimal precursor (OPR) of the NAO event is of research value and practical significance. In this paper, the conditional nonlinear optimal perturbation (CNOP) method, which has been widely used in research on the OPR of climatic event, is adopted to explore which kind of initial perturbation is most likely to trigger the NAO anomaly pattern in the Community Earth System Model (CESM). Since the adjoint model of CESM has yet to be developed, this kind of problem cannot be solved using traditional strategies based on gradient information provided by the adjoint model. We utilize an adjoint-free algorithm to solve CNOP in such a high dimensional numerical model, and OPRs of the NAO can be successfully identified. The results reveal that OPRs obtained by CNOP can cause the basic state to develop into typical dipole mode, and the nonlinear process plays an important role in the last stage of the prediction period. The algorithm adopted in this work can avoid falling into a local optimum and is accelerated with multiple parallel frameworks to enhance performance. The solution scheme can also be generalized to the OPR research of other climate events or other complex numerical models.
DFT Study on Adsorption of Volatile Organic Compounds on Silicene

Cancer can be regarded as a rising threat towards modern societies. Detecting cancer at an early stage significantly improves the curability of the disease; unfortunately, currently available methods for early diagnosis of cancer are scarce and inefficient. In fact, the concentration of Volatile Organic Compounds (VOCs) in cancer patients in the breath is different from that in normal people. Therefore, development of new sensors that can detect VOCs with low concentrations at the early stage of cancer, is desirable. 2D materials are expected as attractive materials for these sensors due to their large surface area to volume ratio. In this work, we investigated the adsorption mechanism of some small-to-medium VOCs on the surface of silicene by the quantum simulation method. The images of the potential energy surfaces for different positions of the adsorbate on the silicene surface were explored by Computational DFT-based Nanoscope for determination of the most stable configurations and diffusion possibilities. The adsorption energy profiles were calculated by three approximations of van der Waals interation: revPBE-vdW, optPBE-vdW, and vdW-DF2. It is found that the adsorption energies of the VOCs in question vary in the range of 0.6-1.0 eV, which indicates that silicene is considerably sensitive with these VOCs. The charge transfer between the substrate and VOCs was also addressed.
Estimation of the error covariance matrix for IASI radiances and its impact on ozone analyses

Abstract. In atmospheric chemistry retrievals and data assimilation systems, observation errors associated with satellite radiances are chosen empirically and generally treated as uncorrelated. In this work, we estimate inter-channel error covariances for the Infrared Atmospheric Sounding Interferometer (IASI) and evaluate their impact on ozone assimilation with the chemical transport model MOCAGE (MOdele de Chime Atmospheric a Grand Echelle). The method used to calculate observation errors is a diagnostic based on the observation and analysis residual statistics already adopted in numerical weather prediction centers. We used a subset of 280 channels covering the spectral range between 980 and 1100 cm−1 to estimate the observation error covariance matrix. We computed hourly 3D-Var analyses and compared the resulting O3 fields against ozonesondes and the measurements provided by the Microwave Limb Sounder (MLS). The results show significant differences between using the estimated error covariance matrix with respect to the empirical diagonal matrix employed in previous studies. The validation of the analyses against independent data reports a significant improvement especially in the tropical stratosphere. The computational cost has also been reduced when the estimated covariance is employed in the assimilation system.
Human Resources Mining for Examination of R&D Progress and Requirements

The amount of job advertisement data is rapidly growing, and this rich dataset is expected to have implications for the employment market, sector trajectories, and the education sector. Most significantly, human resources (HR) data has never previously been examined with the lens of tech mining for science and technology analyses. This article is the first to examine job advertisement data considering research and development (R&D) progress and requirements, and hereafter, we refer to this as HR mining. The aim of this article is to use HR mining with the purpose of R&D and human capital intelligence using the job advertisement data of Turkey for the 2015–2017 period. The method of this study follows classification as part of the preprocessing step to determine R&D, engineering, and high-tech industry-related job advertisements. Afterward, we use clustering methods to identify areas where key human capital is required, and investments are made by R&D-oriented companies. The results show that it is possible to identify sector-oriented skill requirements and that the significance of the R&D skills varies. For the case of Turkey, we can clearly show the national human capital and R&D by identifying nine key clusters that indicate R&D progress and directions.
Comments on the Subspecies of Australian Native and Introduced Finches

Finches of the families Passeridae (Estrildinae; Passerinae: Ploceini, Passerini) and Fringillidae (Fringillinae: Fringillini, Carduelini; Emberizinae) are represented in Australia and its island dependencies by 18 native and 12 introduced species. Subspecies recognised in recent years have been largely confirmed; changes proposed here are the merger of Neochmia phaeton albiventer with N. p. evangelinae; N. p. iredalei with N. p. phaeton; and Lonchura castaneothorar assimilis with L. c. custaneothorax. The subspecific status of Poephila cincta nigrotecta and P. acuticauda hecki is supported. Seven species are monotypic and three polytypic species have only one Australian subspecies. Introduced species are mainly either the result of acclirnatisation societies or presumably of self-colonisation from New Zealand; the latter have been recorded only from island territories and are assumed to belong to the subspecies found in New Zealand. Subspecific assignment has not been made for Passer rnontanus on Christmas Island.
Speed of rolling droplets 1

7 We analyze the near-rolling motion of two-dimensional nonwetting drops down a gently inclined plane. Inspired by the scaling analysis of Mahadevan & Pomeau [Phys. Fluids 11, 2449 (1999)], we focus upon the limit of small Bond numbers, B 1, where the drop shape is nearly circular and the internal flow is approximately a rigid-body rotation except close to the flat spot at the base of the drop. Our analysis reveals that the leading-order dissipation is contributed by both the flow in the flat-spot region and the correction to rigid-body rotation in the remaining liquid domain. The resulting leading-order approximation for the drop velocity U is given by μU γ ∼ α 2B ln 1 B , wherein μ is the liquid viscosity, γ the interfacial tension and α the inclination angle. 8
Parents’ Knowledge of Neonatal Danger Signs and Associated Factors at Health Centers in Kigali, Rwanda

Background Globally, nearly half of all under-five deaths occur during the neonatal period. About two million dies within the first week, of which 75% come from low-resource countries, such as Rwanda. Many neonatal deaths are preventable or avoidable if parents are knowledgeable of Neonatal Danger Signs (NDS), and do not delay seeking care at a health facility. Objective To assess the parents’ knowledge of NDS and associated factors within the neonatal period at four health centers in Kigali. Method This study was a descriptive cross-sectional design. A proportionate stratified probability sampling strategy was used to select 209 parents who attended selected health centers in Kigali. Data analysis used descriptive and inferential statistics. Results The findings showed that 67% of participants had some information on NDS. Logistic regression showed that educational level, parity, number of antenatal visits, and information from healthcare providers was significantly associated with parents' knowledge of NDS. Conclusion Our findings indicate the need to enhance education of parents’ knowledge of NDS in the study population. Educational efforts also should target NDS in health centers where most Rwandan women attend antenatal care. Rwanda J Med Health Sci 2020;3(2):128-138
System Stability Improvement through Optimal Control Allocation in VSC HVDC Links

Control of both active and reactive power in voltage source converter (VSC) based High Voltage Direct Current (HVDC) links could be very effective for system stability improvement. The challenge, however, is to properly allocate the overall control duty among the available control variables in order to minimize the total control effort and hence allow use of less expensive converters (actuators). Here relative gain array (RGA) and residue analysis are used to identify the most appropriate control loops avoiding possible interactions. Optimal allocation of the secondary control duty between the two ends of the VSC HVDC link is demonstrated. Active and reactive power modulation at the rectifier end, in a certain proportion, turns out to be the most effective. Two scenarios, with normal and heavy loading conditions, are considered to justify the generality of the conclusions. Subspace-based multi-input-multi-output (MIMO) system identification is used to estimate and validate linearized state-space models through pseudo random binary sequence (PRBS) probing. Linear analysis is substantiated with non-linear simulations in DIgSILENT PowerFactory with detailed representation of HVDC links.
Examining knowledge transfer activities in UK universities: advocating a PROMETHEE-based approach

Purpose: The purpose of this study is to examine the portfolio of knowledge transfer (KT) activities in 162 UK higher education institutions. In doing so, this study creates an index and ranking, but more importantly, it identifies specific groupings or strategic profiles of universities defined by different combinations and strengths of the individual KT activities from which the overall rankings are derived. Previous research, concentrating on entrepreneurial universities, shows that individual knowledge transfer (KT) activities vary substantially among UK universities. The broad portfolio of universities' KT activities, however, remains underexplored, creating gaps in terms of the relative strength, range, focus and combination of these activities, and the degree to which there are distinct university strategic KT profiles. By examining KT activities and grouping universities into KT “types”, this research allows universities and policymakers to better develop and measure clearer KT-strategies. Design/methodology/approach: The present study applied the Preference Ranking Organization Method for the Enrichment of Evaluations (PROMETHEE) to rank universities based on their portfolio of KT activities. It utilised data from the 2015–2016 Higher Education Business and Community Interaction Survey dataset. Findings: Findings show that universities differ substantially in their portfolios of KT activities. By using PROMETHEE, a new ranking of universities is generated, based on their KT portfolio. This paper also identifies four distinct types or groups of universities based on the diversity and intensity of their KT activities: Ambidextrous, broad, focused and indifferent. Originality/value: The study contributes to the entrepreneurship literature, and more specifically entrepreneurial activities of universities through new knowledge generated concerning university KT activity. The research extends the existing literature on university archetypes (including those concerned with the Entrepreneurial University) and rankings using a new technique that allows for more detailed analysis of the range of university KT activities. By applying the PROMETHEE approach, results illustrate a more nuanced definition of university KT activities than before, by simultaneously evaluating their overall strength, range, focus and combination, allowing us to identify the universities' strategic profiles based on their KT portfolios. Implications of the findings for key stakeholders include a potential need for government higher education policymakers to take into account the different mixes of university archetypes in a region when considering how best to support higher education and its role in direct and indirect entrepreneurship promotion through regional policy goals.
FoxO3a suppresses neuropeptide W expression in neuronal cells and in rat hypothalamus and its implication in hypothalamic-pituitary-adrenal (HPA) axis

FoxO3a, a forkhead family member of transcription factors, is involved in the regulation of cell metabolism, proliferation, differentiation and apoptosis. However, whether FoxO3a participates in the regulation of glucocorticoids induced-hypothalamic-pituitary-adrenal (HPA) dysfunction is still unknown. Our present results indicate that dexamethasone(DEX) increased FoxO3a expression in PC12 and hypothalamic neuronal cultures in correlation to reduced expression of NPW, a process that could be blocked by GR2 antagonist. DEX restrained the phosphorylation of Akt and FoxO3a, but not ERK1/2 phosphorylation, resulting with FoxO3a nuclear localization. Overexpression of FoxO3a inhibited NPW expression, while FoxO3a knockdown by siRNA had the opposite effect. The regulatory region of NPW promoter contains multiple FoxO3a binding sites, and FoxO3a bonding to these sites inhibited its transcriptional activity. In a rat model, chronic administration of corticosterone reduced animals' body weight and sucrose consumption and caused stress- depression like behavior. Corticosterone treatment induced a marked increase in FoxO3a levels, while decreased the expression of NPW protein in the hypothalamus. Immunofluorescent double labeling demonstrated that FoxO3a and NPW were collocated in the hypothalamus. Taken together, these data indicate that NPW is a new direct downstream target gene of FoxO3a. FoxO3a suppressed the transcription of NPW and modulated glucocorticoids-induced HPA dysfunction by directly regulating the expression of NPW. Thus, present findings suggest that FoxO3a and NPW may be potential therapeutic targets for endocrine and psychiatric disorders.
PII: S0269-7491(98)00130-4

Decreased root biomass in forest trees in response to anthropogenic pollutants is believed to be one of the ®rst steps in forest health degradation. Although decreased root biomass has been observed in controlled experiments, ozone eects on mature tree roots in natural stands has not previously been documented. Here we report standing root biomass of ponderosa pine at three sites in the San Bernardino Mountains distributed along a known, long-term pollution gradient of ozone and nitrogen deposition. Trees at each site were assessed for foliar ozone injury and below-ground attributes, in addition to other environmental factors known to in ̄uence root growth. During the period of peak root growth in the spring, root biomass at the least polluted site was 6±14 times greater than that observed at the most polluted site. Known dierences in climatic and edaphic factors among the sites potentially contributing to the observed response were discounted as primary contributors to the response since in most cases the site dierences would have driven the patterns of root growth in the opposite direction to that observed. Dierences in biotic competitive interactions, also known to aect root growth, did not explain the observed pattern for the same reason. The data suggests that elevated ozone, high nitrogen deposition, and possibly other contributing factors such as soil acidi®cation are primarily responsible for lowering root biomass in ponderosa pine stands in the San Bernardino Mountains. Published by Elsevier Science Ltd.
Pathogenicity of the Entomopathogenic Fungi Beauveria bassiana and Metarhizium anisopliae to the Striped Rice Stem Borer, Chilo suppressalis

DOI: 10.21276/sjavs.2017. 4.12. 7 Abstract: The striped stem borer, Chilo suppressalis is one of the most important pests in the rice fields distributed in all rice producing regions of Iran (except for Khuzestan province). Three strains of Beauveria bassiana and Metarhizium anisopliae were evaluated for potential use as bio-control agents against C. suppressalis. Virulence of three isolates were tested based on dose-response mortality bioassays and showed that B. bassiana isolate Mcb18 had the lowest LC 50 values to egg, larva and pupa of 6.64 × 10 4 , 1.78× 10 3 and 4.94 × 10 4 conidia mL -1 , and with lower LT50 values ranged from 5.22 to 11.90 days, from 5.07 to 11.53 and from 6.09 to 19.08 days for concentrations that resulted in 50% mortality during three weeks for B. bassiana Mcb18, for egg, larva and pupa of C. suppressalis, respectively. Based on these results B. bassiana strain Mcb18 has the highest potential as a bio-control agent for C. suppressalis. However, B. bassiana Mcb18 isolate showed the ability to grow, sporulate and produce mycosis under laboratory conditions, indicating the potential for causing an epizootic in treated rice fields.
Complete Chloroplast Genome Sequence of a Black Spruce (Picea mariana) from Eastern Canada

Here, we present the chloroplast genome sequence of black spruce (Picea mariana), a conifer widely distributed throughout North American boreal forests. This complete and annotated chloroplast sequence is 123,961 bp long and will contribute to future studies on the genetic basis of evolutionary change in spruce and adaptation in conifers. ABSTRACT Here, we present the chloroplast genome sequence of black spruce (Picea mariana), a conifer widely distributed throughout North American boreal forests. This complete and annotated chloroplast sequence is 123,961 bp long and will contribute to future studies on the genetic basis of evolutionary change in spruce and adaptation in conifers.