Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF INTERNAL, EXTERNAL FACTORS ON CORPORATE PERFORMANCE AND ITS IMPACT ON CORPORATE VALUES IN INDONESIA MANUFACTURING COMPANIES IN THE AUTOMOTIVE SUB SECTOR AND ITS COMPONENTS IN 2008-2017

This study aims to find out: (1) Effect of Current Ratio (CR), Debt to Equity Ratio (DER), inflation and the IDR exchange rate on Return on Assets (ROA); (2) Effect of Current Ratio (CR), Debt to Equity Ratio (DER), inflation and the IDR exchange rate against Price to Book value (PBV); (3) Effect of Return on Assets (ROA) on Price to Book value (PBV); (4) Role of Return on Assets ROA as an intervening variable between Current Ratio (CR), Debt to Equity Ratio (DER), inflation and the IDR exchange rate with Price to Book value (PBV). The research sample is the automotive sub-sector manufacturing company and its components in the period 2008-2017 as many as 9 companies. The results of the study with panel data show that simultaneously CR, DER, inflation and the rupiah exchange rate affect ROA, partially CR and inflation have no significant effect on ROA, while DER and the IDR exchange rate have a significant effect on ROA. Simultaneously CR, DER, inflation and the IDR exchange rate affect PBV, partially CR, DER and inflation have no significant effect on PBV, while the IDR exchange rate has a significant effect on PBV. 12. The role of ROA as an intervening variable is very important in increasing the influence of CR, DER, inflation and the IDR exchange rate against Price to Book Value (PBV).
Liriomyza huidobrensis in Yunnan, China: current distribution and genetic structure of a recently established population

Liriomyza huidobrensis Blanchard (Diptera: Agromyzidae) is a very serious and economically important pest around the world. Liriomyza huidobrensis in China was first reported from Kunming of Yunnan province in 1993. We report here that this pest has recently expanded its distribution, along with a host plant range extension and population explosion. The mitochondrial cytochrome oxidase II gene was sequenced for eight populations from Yunnan. All individuals were identical: no genetic variation was observed between populations either from different geographical localities or from different host plants. The phylogenetic analysis shows that the Yunnan population is grouped into the South American clade, which also includes other recently introduced Asian populations. Together with ecological data and colonization history of this pest, our results suggest that Yunnan population might have an ultimate, albeit not immediate, origin from South American populations.
Adaptabilidad de híbridos triples de maíz y de sus progenitores para la región tropical del sureste de México.

Adaptabilidad de hibridos triples de maiz y de sus progenitores para la region tropical del sureste de Mexico. Durante los ciclos primavera-verano de 1998 y 1999 y otono-invierno de 1997/98 y 1998/99, se condujo una investigacion en los campos experimentales del INIFAP, Cotaxtla e Isla, Veracruz, Huimanguillo, Tabasco, y Apatzingan, Michoacan, para conocer el rendimiento, adaptabilidad y las caracteristicas agronomicas de hibridos triples de maiz y sus progenitores. Se establecieron siete experimentos bajo disenos alfa-latice con dos repeticiones, en parcelas de un surco de 5 m de largo separados a 80 cm, con una densidad de 62.500 plantas por hectarea. Con los hibridos sobresalientes se establecieron parcelas de validacion durante los anos 1999, 2002 y 2003, en los estados de Veracruz y Tabasco. Hubo hibridos triples estables, que superan en rendimiento e igualaron en caracteristicas agronomicas al testigo comercial H-513. Dentro de los sobresalientes se encuentran: (1) H-513 x CABG3’- 10-1-6-1-1-1, el cual ha sido propuesto para su liberacion oficial como H-520, (2) (CML247 x CML254) x CABG3’-3-4-2-1-3-1, (3) (LRB14 x D539) x CML254, H-513 x LT157, propuesto para su liberacion como H-518 y la cruza. En la etapa de validacion, los hibridos H-518 y H-520 registraron rendimientos similares al hibrido de cruza simple H-513, usado como progenitor hembra en la formacion de estos hibridos. Se concluye que la formacion de hibridos triples estables y de buen rendimiento, representa una alternativa de aprovechamiento de la heterosis con las ventajas adicionales en la produccion de semillas.
Effects of graded levels of crude glycerine addition to diets on growth performance, carcass traits and economic efficiency in broiler chickens.

The aim of the current study was to evaluate the effects of graded levels of crude glycerine addition to diets on growth and economic performance, carcass yield, organ weights and moisture levels of meat in broiler chickens. For this purpose, a total of 270 one day old male chicks (Ross 308) were randomly divided into 3 equal groups which fed with isocaloric and isonitrogenous diets with graded levels (0%, 5% and 10%, respectively) of crude glycerine. Each of experiment group was constituted by 5 subgroups with 18 birds each. The birds had ad libitum access to feed and water until termination of the experiment at d 42. Results indicated that 5% dietary crude glycerine addition improved body weight, body weight gain and feed conversion ratio compare with birds fed with basal diet at d 42 (P<0.01). Similarly, dietary 10% crude glycerine supplementation also increased growth performance and improved FCR in broiler chickens at 28th and 42nd days of experiment (P<0.05 and P<0.001, respectively). Moreover, birds fed with 5% dietary crude glycerine had showed over 20% higher relative economic efficiency compare than birds fed basal diet. As a conclusion, dietary crude glycerine addition improved growth and economic performance and Feed Conversion Ratio of broilers in both supplementation levels.
Baseline, diurnal variations, and stress‐induced changes of stress hormones in three captive beluga whales, Delphinapterus leucas

Concentrations of plasma adrenocorticotropic hormone (ACTH), cortisol, and aldosterone were investigated in three adult beluga whales (Delphinapterus leucas), held in a large outdoor public aquarium exhibit. The purpose of this study was to evaluate resting concentrations of these hormones and associated diurnal variations with routine interactions and medical procedures. Resting blood samples were collected voluntarily from the ventral fluke veins at predetermined times of the day to evaluate diurnal changes in analyte concentrations. In addition, hematology and serum chemistry analyses were performed to monitor health status and evaluate changes related to physical exam procedures. Analogous sampling was conducted during out-of-water physical examinations and before and after wading-contact sessions (WCS). Baseline stress hormone concentrations (X ± SD) were as follows: plasma ACTH (8.41 ± 5.8 pg/mL), serum cortisol (1.80 ± 0.71 g/dL), and serum aldosterone (11.42 ± 5.5 pg/mL). Plasma ACTH and cortisol concentrations were consistently higher in early morning than evening, while aldosterone was higher in the evening. All stress-related hormones were significantly elevated during physical examination. Plasma ACTH concentrations were most increased, 5―10-fold, during physical examination, whereas cortisol and aldosterone showed 2—4—fold elevations. Stress response analytes measured during the WCS did not differ significantly from baseline concentrations.
Predictive Validity of the SAVRY With Indigenous and Caucasian Female and Male Adolescents on Probation

Indigenous people and the courts have emphasized that it is important to examine whether violence risk assessment tools are valid and appropriate for Indigenous youth. However, studies are scarce. Therefore, we examined the predictive validity of youth probation officers’ SAVRY ratings for 744 Canadian youth, including 299 Indigenous youth (219 male, 80 female), and 445 Caucasian youth (357 male, 88 female) in a prospective field study. The SAVRY summary risk ratings and risk total scores significantly predicted violent and any reoffending for Indigenous female and male youth with medium effect sizes. Relatively few significant differences in the predictive validity emerged for Indigenous and Caucasian youth. However, Historical, Protective, and Risk Total scores predicted any recidivism better for Caucasian males than Indigenous males. Also, Indigenous youth scored significantly higher on all risk domains than Caucasian youth. Opposite to predictions, the rates of false positives were higher for Caucasian youth than for Indigenous youth. Based on the results, the SAVRY appears to be a reasonable tool to use for assessing risk in youth who are Indigenous. However, assessors should take steps to ensure that they use the SAVRY in a culturally appropriate manner, such as considering cultural factors in case formulations and treatment planning as the SAVRY does not ground assessments in an understanding of factors such as colonialism. In addition, future research should examine culturally salient risk factors (e.g., discrimination) and examine potential causes of higher risk scores in Indigenous youth, particularly the role of both past and present-day colonialism.
EVALUATION OF APPLICATION OF THE INTENSIVE RABBIT PRODUCTION SYSTEM UNDER THE SUB-TROPICAL CONDITIONS OF EGYPT.

The study included 747 litters obtained from 173 New Zealand White (NZW) does, during one calendar year. Mating was carried out at the start of the breeding season (October), then on the second day after kindling. Pregnancy diagnosis was carried out ten days after service and the empty does were rebred in the some day. The results showed that the highest percentage of litters carne from atings carried out within the first ten days after kindling (55.4%), llowed by those matad> 30 days (18.1%), 11 - 20 days (14.7%) 1d 21 - 30 days (11.9%) after kindling. The effects of open days amating interval) on most of the studied traits were not significant. The average theoretical number of litters/year (classified according to kindling intervals) was 8.7. The study of the litter size showed that 5 -kits was the most frequent size (47.5%), followed by ≥ 8 (28.4%) and: ≤ 4 (24.1%) kits/litter. The traits which were significantly (P<0.001) correlated with litter size were milk yield, milk intake and milk conversion ratio, kit's weight at birth and at weaning and kit's weight gain. The highest litter size (≥8) was accompanied by the highest milk yield (148 g/d) and the lowest individual milk intake per day (20.9 g), kit's weight at birth (61.5 g) and at weaning (443 g), kit's weight gain (13.6 g/d) and milk conversion ratio (1.5 g milk/g galn). Average litter size at birth was 6.4. Year season effect showed that the highest percentage of litters was recordad in autumn (32.8%), followed by spring (30.4%), winter (24.4%) and summer (12.4%). The effects of year season on most of the studied traits were significant. lnteractions between main factors were not significant on most of the studied traits.
Dominance of Indirect Causality in Ecosystems

Par un developpement theorique, les auteurs montrent l'importance quantitative des effets indirects et leur dominance probable dans les ecosystemes naturels sur les effets directs, afin de repondre a la critique de la theorie de Patton par Wiegert et Kozlowski (1984)
Animals in the Restoration Process—Progressing the Trends

A survey of fauna‐focused papers in Restoration Ecology indicates that increased attention is being paid to this component of the biota. Although much of this work is for monitoring, a growing number of studies relate to the economic or ecological value of animals in restored land. There is still a bias toward vertebrates over invertebrates, although the proportion of invertebrate‐focused papers is steadily increasing. Analysis of these papers suggests that greater synergy would have been obtained if standardized protocols had been used and, in the case of invertebrates, studies would have been more informative if species‐level identifications had been obtained. Partnerships with industry should allow long‐term studies to be performed, which would provide more reliable information than that yielded from chronosequence‐type investigations.
Water Stress Reveals Effects of Elf Magnetic Fields on the Growth of Seedlings

We studied the effects of weak and extremely low-frequency (ELF) magnetic fields (MFs) on the growth of spruce seedlings Picea abies that were exposed simultaneously to stress conditions. The drought environmental stress conditions were simulated by watering the seedlings with polyethylene glycol (PEG) at two different concentrations: 88 and 176 g/L. The experiments showed that a weak, sinusoidal magnetic field (50 Hz, 26 and 105 μT, 12 h/day), which was computer controlled and was generated by a system of Helmholtz-like coils, inhibited the germination and the growth of seedlings, whereas under normal conditions (without PEG), the effects were either zero or stimulatory. When the seeds were soaked in water, the effects of MFs were reversed; i.e., they were stimulatory. This strongly supports some findings that biological systems under stress may demonstrate higher sensitivity to ELF EMFs. Our experiments demonstrate that the inhibition of germination was greater at the greater concentration of PEG (at 10.
Stealth UAV through Coandă Effect

This paper uses CoandăEffect to reduce motors, the source of noise, and finds low noise materials with sufficient lift force so that it can achieve acoustical stealth UAVs.According to NASA research [1], the noise of UAVs is better heard to people. But there must be some moments when we need to operate the drones quietly, so how can we reduce the noise? In previous research, there have also been steady attempts to produce UAVs using CoandăEffect, but have never tried to achieve Acoustic Stealth through Coanda UAVs. But Coanda Effect uses only one motor and is structurally quiet. So we tried to find quiet methods (materials, structures) while at the same time having sufficient stimulus through the CoandăEffect. Verification went through experiments. The control group used the most common type of Quadrone, and determine if the hypothesis is correct by testing various structures and materials under the same conditions, and measuring noise. UAVs using CoandăEffect are not of any shape or structure that is not changeable, and internal space is also empty. That's why the CoandăEffect UAV we present can be improved through follow-up research. That's why the CoandăEffect UAV could open up a new frontier for the Stealth UAVs.
Fair Classification via Unconstrained Optimization

Achieving the Bayes optimal binary classification rule subject to group fairness constraints is known to be reducible, in some cases, to learning a group-wise thresholding rule over the Bayes regressor. In this paper, we extend this result by proving that, in a broader setting, the Bayes optimal fair learning rule remains a group-wise thresholding rule over the Bayes regressor but with a (possible) randomization at the thresholds. This provides a stronger justification to the post-processing approach in fair classification, in which (1) a predictor is learned first, after which (2) its output is adjusted to remove bias. We show how the post-processing rule in this two-stage approach can be learned quite efficiently by solving an unconstrained optimization problem. The proposed algorithm can be applied to any black-box machine learning model, such as deep neural networks, random forests and support vector machines. In addition, it can accommodate many fairness criteria that have been previously proposed in the literature, such as equalized odds and statistical parity. We prove that the algorithm is Bayes consistent and motivate it, furthermore, via an impossibility result that quantifies the tradeoff between accuracy and fairness across multiple demographic groups. Finally, we conclude by validating the algorithm on the Adult benchmark dataset.
Quantifying the statistics of CMB-lensing-derived galaxy cluster mass measurements with simulations

CMB lensing is a promising, novel way to measure galaxy cluster masses that can be used, e.g., for mass calibration in galaxy cluster counts analyses. Understanding the statistics of the galaxy cluster mass observable obtained with such measurements is essential if their use in subsequent analyses is not to lead to biased results. We study the statistics of a CMB lensing galaxy cluster mass observable for a Planck-like experiment with mock observations obtained from an N-body simulation. We quantify the bias and intrinsic scatter associated with this observable following two different approaches, one in which the signal due to the cluster and nearby correlated large-scale structure is isolated, and another one in which the variation due to uncorrelated large-scale structure is also taken into account. For our first approach we also quantify deviations from log-normality in the scatter, finding them to have a negligible impact on mass calibration for our Planck-like experiment. We briefly discuss how some of our results change for experiments with higher angular resolution and lower noise levels, such as the current generation of surveys obtained with ground-based, large-aperture telescopes.
Erasure Broadcast Channels With Intermittent Feedback

Achievable data rates in wireless systems rely heavily on the available channel state information (CSI) throughout the network. However, feedback links, which provide this information, are scarce, unreliable, and subject to security threats. In this work, we study the impact of having intermittent feedback links on the capacity region of the canonical two-user erasure broadcast channels. In our model, at any time instant, each receiver broadcasts its CSI, and at any other node, this information either becomes available with unit delay or gets erased. For this setting, we develop a new set of outer bounds to capture the intermittent nature of the feedback links. These outer bounds depend on the probability that the CSI from both receivers are erased at the transmitter. In particular, if at any time, the CSI from at least one of the two receivers is available at the other two nodes, then the outer-bounds match the capacity with global delayed CSI. We also provide capacity-achieving transmission strategies under certain scenarios, and we establish a connection between this problem and Blind Index Coding with feedback.
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation

Although secular, handwritten signature is one of the most reliable biometric method used by most countries. In the last ten years, the application of technology for verification of handwritten signatures has evolved strongly, including forensic aspects. Some factors, such as the complexity of the background and the small size of the region of interest - signature pixels - increase the difficulty of the targeting task. Other factors that make it challenging are the various variations present in handwritten signatures such as location, type of ink, color and type of pen, and the type of stroke. In this work, we propose an approach to locate and extract the pixels of handwritten signatures on identification documents, without any prior information on the location of the signatures. The technique used is based on a fully convolutional encoder-decoder network combined with a block of refinement layers for the alpha channel of the predicted image. The experimental results demonstrate that the technique outputs a clean signature with higher fidelity in the lines than the traditional approaches and preservation of the pertinent characteristics to the signer’s spelling. To evaluate the quality of our proposal, we use the following image similarity metrics: SSIM, SIFT, and Dice Coefficient. The qualitative and quantitative results show a significant improvement in comparison with the baseline system.
Uniform Diophantine approximation related to beta-transformations

For any $\beta>1$, let $T_\beta$ be the classical $\beta$-transformations. Fix $x_0\in[0,1]$ and a nonnegative real number $\hat{v}$, we compute the Hausdorff dimension of the set of real numbers $x\in[0,1]$ with the property that, for every sufficiently large integer $N$, there is an integer $n$ with $1\leq n\leq N$ such that the distance between $T_\beta^nx$ and $x_0$ is at most equal to $\beta^{-N\hat{v}}$. This work extends the result of Bugeaud and Liao \cite{YLiao2016} to every point $x_0$ in unit interval.
Doubly robust estimation of average treatment effect revisited

The research described herewith is to re-visit the classical doubly robust estimation of average treatment effect by conducting a systematic study on the comparisons, in the sense of asymptotic efficiency, among all possible combinations of the estimated propensity score and outcome regression. To this end, we consider all nine combinations under, respectively, parametric, nonparametric and semiparametric structures. The comparisons provide useful information on when and how to efficiently utilize the model structures in practice. Further, when there is model-misspecification, either propensity score or outcome regression, we also give the corresponding comparisons. Three phenomena are observed. Firstly, when all models are correctly specified, any combination can achieve the same semiparametric efficiency bound, which coincides with the existing results of some combinations. Secondly, when the propensity score is correctly modeled and estimated, but the outcome regression is misspecified parametrically or semiparametrically, the asymptotic variance is always larger than or equal to the semiparametric efficiency bound. Thirdly, in contrast, when the propensity score is misspecified parametrically or semiparametrically, while the outcome regression is correctly modeled and estimated, the asymptotic variance is not necessarily larger than the semiparametric efficiency bound. In some cases, the "super-efficiency" phenomenon occurs. We also conduct a small numerical study.
Using Large Pretrained Language Models for Answering User Queries from Product Specifications

While buying a product from the e-commerce websites, customers generally have a plethora of questions. From the perspective of both the e-commerce service provider as well as the customers, there must be an effective question answering system to provide immediate answer to the user queries. While certain questions can only be answered after using the product, there are many questions which can be answered from the product specification itself. Our work takes a first step in this direction by finding out the relevant product specifications, that can help answering the user questions. We propose an approach to automatically create a training dataset for this problem. We utilize recently proposed XLNet and BERT architectures for this problem and find that they provide much better performance than the Siamese model, previously applied for this problem. Our model gives a good performance even when trained on one vertical and tested across different verticals.