Miracle-dz/UniFAR-FTUs huggingface dataset:
Fair value and environmental disclosure impact on agricultural company financial performance

AbstractBiological assets are growing assets owned by a company and can provide economic benefits in the future. In Indonesia, biological assets are recorded and recognized based on PSAK 69. The PSAK 69 requires the use of the fair value method to measure biological assets that were previously measured using the historical cost method. This study aims to determine the impact of PSAK 69 implementation on financial performance. This study also investigates the effect of environmental reporting on financial performance. The agricultural listed company on the Indonesia Stock Exchange was chosen as the sample in this quantitative study. The data was obtained from the financial reports from 2015 to 2020. The environmental reporting data was measured by a PROPER rating. The data was then analysed using panel data regression. The findings of this study indicated that the implementation of PSAK 69 did affect the financial performance. The environmental reporting using the PROPER rating however did not affect the financial performance. The result of this study can be used as a basis for decision making for management to improve the company’s financial performance and environmental reporting.AbstrakAset biologis adalah aset bertumbuh yang dimiliki oleh perusahaan dan dapat memberikan manfaat ekonomi di masa mendatang. Di Indonesia, aset biologis dicatat dan diakui berdasarkan PSAK 69 mulai tahun 2018. PSAK 69 meminta aset biologis diukur dengan metode fair value, yang sebelumnya diukur dengan historical cost. Penelitian ini bertujuan untuk mengetahui dampak penerapan PSAK 69 tentang aset biologis terhadap kinerja keuangan. Selain itu, penelitian ini juga ingin mengetahui dampak pelaporan lingkungan pada kinerja keuangan. Penelitian ini merupakan penelitian kuantitatif dengan perusahaan sektor agrikultur yang terdaftar pada Bursa Efek Indonesia sebagai sampelnya. Data penelitian bersumber dari laporan keuangan perusahaan tahun 2015-2020. Data tentang pelaporan lingkungan diambil dari peringkat PROPER. Data diolah dengan menggunakan analisis regresi data panel. Hasil dari penelitian ini menunjukkan bahwa perubahan pengukuran pada aset biologis berpengaruh pada kinerja keuangan perusahaan. Pelaporan lingkungan menggunakan peringkat PROPER tidak berpengaruh terhadap kinerja keuangan perusahaan. Penelitian ini dapat dijadikan dasar pengambilan keputusan bagi manajemen untuk meningkatkan kinerja keuangan perusahaan serta meningkatkan pelaporan lingkungan.
Temporal Foraging and Ranging Patterns Suggested the Niche Partitioning of Two Sympatric Herbivores, Axis axis and Bubalus bubalis, in the Nijhum Dweep National Park of Bangladesh

For proper conservation measures and to elucidate coexistence mechanism of sympatric herbivore, we assessed the temporal foraging and ranging patterns of the Axis axis (spotted deer) and feral and/or semi domesticated Bubalus bubalis (buffalos) in the Nijhum Dweep National Park (NDNP) of Bangladesh. We have collected the data by day long scan sampling method for 12 months. We found that spotted deer and buffalos, respectively, spent 50.34% and 36.41% of their total day time in foraging. To avoid clash with the larger sized buffalos in the grazing ground, the spotted deer choose a slightly different time for grazing. At least three foraging peaks were found for spotted deer, whereas, buffalos showed two foraging peaks in a day. More importantly, spotted deer relied more on browsing for their food collection although they are natural gazer, whereas, buffalos relied more on their natural grazing habit for food collection. Spotted deer spent most of their time inside the forest and forest edges, whereas, buffalos mostly spent their time in the open grazing grounds. The range of total distance moved (TDM) per day for spotted deer and buffalos was 1.56 to 2.67 km and 1.02 to 3.30 km, respectively. The total area ranged (TAR) per day were 0.23 km2 to 0.8 km2 for spotted deer and 0.03 km2 to 0.35 km2 for buffalos. Although, these two parameters varied seasonally for both species, only in case of TAR of spotted deer the variation was statistically significant ( P < 0.05 ). We conclude that because of the presence of a larger sympatric herbivore, the spotted deer did some alterations in their temporal foraging and ranging pattern (TFRP) to survive in the small island which has very limited resources for their existence and survival.
Container Session Level Traffic Prediction From Network Interface Usage

Provisioning cloud native services via containers has been regarded as a promising way to promote the cloud elasticity. A container may simultaneously sustain multiple services with a number of different communication sessions. It is of great importance to predict them for fine-grain system management. However, this is a non-trivial task as the session traffics are all invisible. The only thing we can get is the container network interface usage as the total traffic of all coexisting sessions. In this paper, we propose a machine learning based session level traffic prediction framework called X-Rayer, to predict respective session traffics from the network interface usage. Via a sliding-window based ensemble empirical mode decomposition algorithm, X-Rayer first accurately predicts the interface usage, which is then decomposed into session traffics by an invented ConvGRU formed by convolutional neural network and gated recurrent unit. Specially, the spatial-temporal correlations of the interface usages are abstracted via an attention strategy and explored for accurate session traffic decomposition. Through extensive trace-driven experiments, we show that our X-Rayer provides more accurate results by decreasing the average RMSE in the interface usage prediction by 33.25% and 33.71%, and session traffic estimation by 18.05%, 27.04%, 21.91%, and 16.43%, compared to state-of-the-art approaches.
Validity generalization procedures using sample-based estimates: A comparison of six procedures.

This Monte Carlo study examined the accuracy of 6 validity generalization (VG) procedures when the procedures were applied without a set of assumed artifact distributions. Because in most cases the relevance of the artifact distributions is difficult if not impossible to establish, it is important to investigate the accuracy of VG procedures when these are based only on available data
3D locations of the object directly from in-line holograms using the Gabor transform

In-line holography is a simple way for small object imaging. The Gabor transform is used for object characterization directly from in-line holograms. Three-dimensional locations of an object can be determined from the Gabor transform spectrum of its in-line hologram. The relationship between the Gabor angle and the location of the object is established, Computer simulations and experimental result have been presented to demonstrate the validity of this method for object charactering. The promising application of this method is particle field analysis.
Morphological, histological, and histochemical study of the adult golden hamster (Mesocricetus auratus) spleen

Background: The golden hamster is a choice model for investigating many visceral and splenic infections and neoplastic and retrospective lesions. Aim: To study hamsters' spleen's morphological, histological, and histochemical structure. Methods: Samples were collected from eight healthy adult golden hamsters and then fixed with 10% buffered formalin. Later, samples were processed, sectioned, and stained with Hematoxylin and Eosin as well as Masson’s Trichrome stain. Other slides were further stained with Periodic Acid Schiff and Alcian blue 2.5 stain (PAS) for histochemical evolution; the gross measurement was performed for the splenic length, width, and thickness, while the histological measures included the splenic capsular and trabecula thickness, diameter of white pulp follicles, splenic sinusoids and central arteries and proportion of white and red pulps. Results: The macroscopic findings revealed that the spleen was red-brown lanciform on the left side of the dorsolateral abdominal wall. The morphological measurements for splenic length, width, and thickness were 26.6 ± 7.67, 4.17 ± 1.65, and 1.70 ± 0.01 mm, respectively. The histological observations showed that the splenic capsule was composed of two layers (serosal and subserosal). The inner layer sends trabeculae dividing the splenic parenchyma irregularly, and the splenic parenchyma comprises the white and red pulp. The white pulp follicles included the mantle, marginal zones, and the PALS (periarterial lymphatic sheath), while the red pulp constituted splenic cords and sinuses. The histomorphological findings showed that white pulp follicles and the central artery mean diameter were 252.62 ± 8.07 µm and 54.45 ± 0.36 µm respectively, the proportion of white to a red pulp was 0.49 ± 0.01, the splenic capsule, trabecula and the wall of splenic arteries showed an intense positive activity to PAS stain and negative or weak in other splenic structures. Conclusion: The similarities and differences in the spleen between the laboratory animals and hamsters were apparent in this article, so understanding the morphological and histological structure of the spleen presents significant assistance with species identification to select the appropriate experimental animal model in future medical research
ALGEBRA PAIRS ASSOCIATED TO McKAY QUIVERS

ABSTRACT It is known that preprojective algebras are related to the McKay quiver of the finite subgroups of . In this note we relate two algebras to the McKay quiver of a finite subgroup of for any . Some properties of the McKay quiver are also studied with these algebras.
Arithmetic complexity of the Stirling transforms

Abstract For the linear Stirling transforms of both kinds, which are well-known in combinatorics, we obtain close to optimal estimates of the complexity of computation by vector addition chains and non-branching programs composed of arithmetic operations over real numbers. A relation between these problems and the Lagrange and Newton interpolation is discussed.
QUANTITATIVE METHODS IN PSYCHOLOGY Correlation and the Coefficient of Determination

It is common practice in psychological statistics to use the square of the correlation as a coefficient of determination or a percentage measure of variance accounted for. This use of the correlation coefficient requires the adoption of a particular model and attendant assumptions. In a variety of circumstances where the square of the correlation coefficient is used, the required assumptions are not tenable. An alternative, less well-known interpretation of the correlation coefficient is described. In this model, the absolute value of the correlation provides a coefficient of determination . Similarities and differences between these two models are described, and conditions for the appropriate use of each model are discussed. The correlation coefficient and not the correlation squared is recommended for use as an effect size indicator, because evaluating effect size in terms of variance accounted for may lead to interpretations that grossly underestimate the magnitude of a relation. Pearson coefficients of correlation and other derivative statistics (e.g., phi, point-biserial correlations) are used with considerable frequency in the analysis of psychological data. One reason for computing these statistics is to determine the size or magnitude of the relation between two variables. When used for this purpose, it is common to use the square of the correlation coefficient as an index of the size of the relation. This index, referred to by Guilford (1936) as the coefficient of determination , is interpreted as the percentage of variance in one variable that is predicted or explained by the other. Amount of explained variance is one way of expressing the degree to which some relation or phenomenon is present—what Cohen (1969) refers to as effect size. Effect size estimation is an important concern, providing a basis for evaluating the effectiveness of an experimental treatment or perhaps even the success of a basic research program.
Comparison of two 8-week training interventions on the athletic performance of padel
players

Padel is an intermittent racket sport played in pairs (2 vs. 2) on a small-sized grass court (20 x 10 m), involving high physical fitness demands for the players. Therefore, this study aims to compare the effect of two 8-week in-season training programs on the athletic performance of male padel players. Participants (age, 22.1±0.8; body height, 182.0±1.0; body mass, 74.7±0.7) were randomly assigned to the integrated training group (IG, n=12) and non-integrated training group (NIG, n=12). The IG trained inside the padel court, integrating neuromuscular exercises with sport-specific (i.e., use of the racket) technical actions. The NIG trained outside the padel court, performing the same neuromuscular exercises and sport-specific technical actions as the IG, although not simultaneously. Before and after the intervention, athletes were assessed for their hand-grip strength, two legged and one-legged Abalakov jump, bench press performance, padel stroke velocity, cardiorespiratory endurance (30-15IFT), 5-m and 10-m linear sprint time and change of direction ability at 90º and 180º using left and right leg. Both groups improved their scores on Abalakov jump tests, bench press performance, stroke velocity, cardiorespiratory endurance (30-15IFT), and change of direction ability at 90º and 180º (all changes p<.05; effect size = 0.22-2.58). The IG improved stroke velocity compared to NIG (p<.05), and only the IG showed pre-post improvements (p<.05; effect size = 0.30-0.76) in change of direction ability at 90º and 180º involving the non-dominant leg (i.e., turn to the right). An 8-week in-season integrated training approach and a non-integrated training approach may induce similar improvements in athletic performance among highly trained male padel players. However, the neuromuscular training program involving an integration of padel-specific and non-specific training exercises may induce greater improvements in padel-specific performance (i.e., stroke velocity) and change of direction speed ability, particularly in movements involving the non-dominant leg.
Neural-Hill: A Novel Algorithm for Efficient Scheduling IoT-Cloud Resource to Maintain Scalability

The age of the Fourth Industrial Revolution (4IR) is the era of smart technologies and services. The Internet of Things (IoT) is at the heart of these smart services. The IoTs are resource-constrain devices. They act as middleware in intelligent systems and maintain communications between cloud servers and smart services. Processing related to intelligent decision-making, including data processing, cleaning, feature extraction, and analysis, is performed on the cloud servers. The IoT devices respond according to the decisions the applications run on the cloud servers make. The massive number of internet-connected devices is increasing by 8% per year. The cloud infrastructure backing these enormous numbers of IoT devices must be scheduled efficiently to maintain Quality of Service (QoS). An optimized scheduling scheme is essential to minimize the cost and enhance scalability. This paper proposes an innovative and novel algorithm, Neural-Hill, which combines the Deep Neural Network (DNN) and Random Restart variant of the Hill Climbing algorithm to schedule IoT-Cloud resources efficiently and ensure scalability. It is a preemptive scheduling algorithm designed to operate in dynamic task scheduling. The performance of the Neural-Hill algorithm has been evaluated in terms of optimal solution-finding time, execution time, routing overhead, and throughput. The experimental results demonstrate the significant quality of service improvement with the assurance of better scalability.
Deep Learning-Based Prediction of Diabetic Retinopathy Using CLAHE and ESRGAN for Enhancement

Vision loss can be avoided if diabetic retinopathy (DR) is diagnosed and treated promptly. The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a deep learning (DL) model is presented that diagnoses all five stages of DR with more accuracy than previous methods. The suggested method presents two scenarios: case 1 with image enhancement using a contrast limited adaptive histogram equalization (CLAHE) filtering algorithm in conjunction with an enhanced super-resolution generative adversarial network (ESRGAN), and case 2 without image enhancement. Augmentation techniques were then performed to generate a balanced dataset utilizing the same parameters for both cases. Using Inception-V3 applied to the Asia Pacific Tele-Ophthalmology Society (APTOS) datasets, the developed model achieved an accuracy of 98.7% for case 1 and 80.87% for case 2, which is greater than existing methods for detecting the five stages of DR. It was demonstrated that using CLAHE and ESRGAN improves a model’s performance and learning ability.
Scaling properties of three-dimensional isotropic magnetohydrodynamic turbulence

A comprehensive picture of three-dimensional (3D) isotropic magnetohydrodynamic (MHD) turbulence is presented based on the first 5123-mode numerical simulations performed. Both temporal and spatial scaling properties are studied. For finite magnetic helicity H the energy decay is governed by the constancy of H and the decrease of the ratio of kinetic and magnetic energy Γ=EK/EM. A simple model consistent with a series of simulation runs predicts the asymptotic decay laws E∼t−1/2, EK∼t−1. For nonhelical MHD turbulence, H≃0, the energy decays faster, E∼t−1. The energy spectrum follows a k−5/3 law, clearly steeper than k−3/2 previously found in 2D MHD turbulence. The scaling exponents of the structure functions are consistent with a modified She–Leveque model ζpMHD=p/9+1−(1/3)p/3, which corresponds to a basic Kolmogorov scaling and sheet-like dissipative structures. The difference between the 3D and the 2D behavior can be related to the eddy dynamics in 3D and 2D hydrodynamic turbulence.
Quantitative feedback theory applied to the design of a rotorcraft flight control system

Quantitative feedback theory describes a frequency-domain technique for the design of multiple-inpu t multiple-output control systems that meet time- or frequency-domain performance criteria when specified uncertainty exists in the linear description of the vehicle dynamics. Quantitative feedback theory is applied to the design of the longitudinal flight control system for a linear model of the AH-64 rotorcraft incorporating uncertainty. In this model, the uncertainty is assigned and is assumed to be attributable to actual uncertainty in the dynamic model and to the changes in the vehicle aerodynamic characteristics that occur near hover. The model includes an approximation to the rotor and actuator dynamics. The design example indicates the manner in which handling qualities criteria may be incorporated into the design of realistic rotorcraft control systems in which significant uncertainty exists in the vehicle model.
Protection and Repair of the Nigrostriatal Pathway with Stem-Cell-Derived Carotid Body Glomus Cell Transplants in Chronic MPTP Parkinsonian Model

Antiparkinsonian carotid body (CB) cell therapy has been proven to be effective in rodent and nonhuman primate models of Parkinson’s disease (PD), exerting trophic protection and restoration of the dopaminergic nigrostriatal pathway. These neurotrophic actions are mediated through the release of high levels of glial-cell-line-derived neurotrophic factor (GDNF) by the CB transplant. Pilot clinical trials have also shown that CB autotransplantation can improve motor symptoms in PD patients, although its effectiveness is affected by the scarcity of the grafted tissue. Here, we analyzed the antiparkinsonian efficacy of in vitro-expanded CB dopaminergic glomus cells. Intrastriatal xenografts of rat CB neurospheres were shown to protect nigral neurons from degeneration in a chronic MPTP mouse PD model. In addition, grafts performed at the end of the neurotoxic treatment resulted in the repair of striatal dopaminergic terminals through axonal sprouting. Interestingly, both neuroprotective and reparative effects induced by in vitro-expanded CB cells were similar to those previously reported by the use of CB transplants. This action could be explained because stem-cell-derived CB neurospheres produce similar amounts of GDNF compared to native CB tissue. This study provides the first evidence that in vitro-expanded CB cells could be a clinical option for cell therapy in PD.
Effects of Three-Dimensional Photon Transport on the Radiative Forcing of Realistic Contrails

Estimatesoftheglobalradiativeforcing(RF)ofline-shapedcontrailsandcontrailcirrusexhibitahighlevel of uncertainty. In most cases, 1D radiative models have been used to determine the RF on a global scale. In thispapertheeffectofneglectingthe3Dradiativeeffectsofrealisticcontrailsisquantified.Calculatingthe3D effects of an idealized elliptical contrail as in the work of Gounou and Hogan with the 3D radiative transfer modelMYSTIC(for‘‘MonteCarlocodeforthephysicallycorrecttracingofphotonsincloudyatmospheres’’) produced comparable results: as in Gounou and Hogan’s work the 3D effect (i.e., the difference in RF between a 3D calculation and a 1D approximation) on contrail RF was on the order of 10% in the longwave and shortwave. The net 3D effect, however, can be much larger, since the shortwave and longwave RF largely cancel during the day. For the investigation of the 3D effects of more realistic contrails, the microphysical input was provided by simulations of a 2D contrail-to-cirrus large-eddy simulation (LES) model. To capture some of the real variability in contrail properties, this paper examines two contrail evolutions from 20 min up to 6 h in an environment with eitherhigh or no vertical windshear.This studyreveals thatthe 3Deffects show a high variability under realistic conditions since they depend strongly on the optical properties and the evolutionary state of the contrails. The differences are especially large for low elevations of the sun and contrails spreading in a sheared environment. Thus, a parameterization of the 3D effects in climate models would need to consider both geometry and microphysics of the contrail.