Miracle-dz/UniFAR-FTUs huggingface dataset:
Coverage Analysis of Indonesia Sustainability Assessment Tools: Similarity in Dimension and Assessment Results

The number of sustainability assessment tools in Indonesia is growing rapidly, concerns are raised on whether the assessment results of different tools present similar and valid conclusion about the sustainability performance in manufacturing industry. In this paper, we analyze dimensions of sustainability assessment tools and compare the structures of sustainability tools in Indonesia. Using a coverage analysis to demonstrate the similarity and differences between two sustainability assessments in Indonesia (PROPER and Industri Hijau) we then compare the results of both and analyze it. This study shows that two sustainability assessment tools in Indonesia which are PROPER and Industri Hijau have high variations in their structures, indicators, criteria, and sub-themes despite their similar dimension and purpose. Consequently, these sustainability assessment tools show differences in assessment results and conclusions on the sustainability performance of firms. Future research may propose a new integrated sustainability assessment tool so there will be only one sustainability assessment tool in Indonesia.
Photovoltaic Power Station Extraction from High-Resolution Satellite Images based on Deep Learning Method

As an important part of the renewable energy, photovoltaic power generation industry has developed rapidly all around China in recent years, however some land use problems have also emerged. Therefore it is of great significance to monitor the number and distribution of photovoltaic power stations timely and accurately with high-resolution satellite images for the healthy development of photovoltaic industry. Combined with the improved DeepLab V3+ model and the ResNeSt-50 backbone network, the paper designs an effective photovoltaics extraction semantic segmentation algorithm and trains the new extraction model iteratively by making full use of big and various photovoltaic land samples. Photovoltaics are extracted accurately all over China with Chinese high-resolution satellite images, following a series of post-processing algorithms, such as binarizing, small and pseudo targets automatic removing, etc. Results show that the accuracy rate of photovoltaic land extraction is about 72.36% and the recall rate is about 91.06%. This precision is good enough for photovoltaic land extraction nationwide annually and the proposed deep learning model is efficient, small and can widely be used with other natural resources target extraction.
A BIO-ELECTRICAL MODEL FOR PHYSIOLOGICAL EVALUATION OF NADI PARIKSHA (AYURVEDIC PULSE DIAGNOSIS)

Physiology of the traditional Ayurvedic diagnostic technique of Nadipariksha has always been a matter of controversy. This diagnostic skill is based on a fine tactile sensitivity of the physician to distinguish varied intensities of mechanical vibrations elicited by radial artery pulsation, normally perceived as Pulse Pattern Variability (PPV). Ancient exponents of Yoga and Ayurveda define Nadi as the â€˜channelâ€™ of Prana which is known as the very basis of bio-energy dynamics of the body. To the modern physician Nadipariksha indicates an assessment of cardiac function which is an important aspect of vascular physiology. The above concept has been re-examined in this article, in the light of whole body bio-electrical activity pattern. The study suggests Nadi as the Energy Pulsating Pathway (EPP) encompassing cellsâ€™ Pulsating Bio-Electrical Response (PBER). The observed varying intensities of PPV in Nadipariksha are proposed to be due to collision of weak threshold PBER with the mechanical vibration of pulsating radial artery. The underlying mechanism of Nadipariksha has been proposed to be associated with energy dynamics of bio-electrical waveform activity at the cellular level. This approach points at its possible implications in developing a more objective diagnostic method in assessing psycho-physiological abnormalities of a patient without having to depend on the subjective diagnostic judgment of a physician. Further, this study hints at the possible experimental evidence towards a physiological evaluation of Nadipariksha through the measures of bio-impedance, bio-reactance and bio-phase angle. Â
Cell-mediated immunity in recent-onset type 1 diabetic children

Background: The ability to suppress an immune response makes regulatory T-cells (T-reg) an attractive candidate as a novel therapeutic agent for treating autoimmune diseases. The mechanisms involved in maintenance of peripheral tolerance include a specialized subset of regulatory-T-cells (Treg) within the T-cell population. The CD4 + CD25 + T-cells may be important in modulating the risk for autoimmunity. Auto-reactive cytotoxic T-cells recognize peptide epitopes displayed on the beta cells surface in the context of HLA class1 molecules. A population of CD8+ regulatory T-cells characterized by expression of CD25 and FOXP3 have been identified and induced in the human peripheral blood cells. The regulatory activity of these cells is on autologous, antigen-reactive CD4 + T-cells in a cell contactdependent manner. These findings provide an evidence for a new mechanism for induction of immune regulation in human. Objective: This study was aiming to assess the cellular immune parameters including the percentage of CD4 + , CD8 + , CD4 + /CD8 + ratio,CD4 + CD25 + , CD8 + CD25 + lymphocytes, which may have its application in developing immune therapy based tools for halting disease progression. Methods: This study was conducted on 20 children of recent onset type 1 diabetes (disease duration 0.05) between the two groups. A significant inverse correlation was found between CD4 + CD25 + T-cells and HbA1c percentage among patients group (p < 0.05). Also a significant difference in the percentage of CD4 + CD25 + T-cells was found when patients with HbA1c8% (the latter group had significantly lower percentage of CD4 + CD8 + T-cells). Conclusion: Type 1diabetes is characterised at its onset by a lowered percentage of CD8 + and CD8 + CD25 + T-cells in peripheral blood, a normal percentage of CD4 + and CD4 + CD25 + T-cells. There may be an inverse correlation between percentage of CD4 + CD25 + T-cells at disease onset and HbA1c level after three months. These data support the hypothesis that a defect in function or deficiency in number of T- regulatory cells may affect the pathogenesis of type 1 diabetes. Keywords: Type 1 diabetes, cell-mediated immunity, children Egypt J Pediatr Allergy Immunol 2008; 6(2): 69-76
Taphonomic aspects and the Lilliput Effect on Devonian discinoids of the Paraná Basin , Apucarana Sub-basin , Brazil

The discinoids are extinct marine invertebrates belonging to the Family Discinidae. The representatives of this group have epibenthic behavior and a shell formed by two valves. The group is common in middle shoreface sandstones and siltstones successions as well as in offshore-transition to offshore shales. Discinoids have stratigraphic distribution between the Ordovician and Holocene. The present study presents the occurrence of five species of discinoids:
Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud

Abstract. We present a direct Lagrangian simulation that computes key warm-rain processes in a vertically developing cloud, including cloud condensation nuclei (CCN) activation, condensational growth, collisional growth, and droplet gravitational settling. This simulation, which tracks the motion and growth of individual particles, is applied to a kinematic simulation of an extremely vertically elongated quasi-one-dimensional domain, after which the results are compared with those obtained from a spectral-bin model, which adopts the conventional Eulerian framework. The comparison results, which confirm good bulk statistical agreement between the Lagrangian and conventional spectral-bin simulations, also show that the Lagrangian simulation is free from the numerical diffusion found in the spectral-bin simulation. After analyzing the Lagrangian statistics of the surface raindrops that reach the ground surface, back-trajectory scrutiny reveals that the Lagrangian statistics of surface raindrops contains the information about the sky where the raindrops grow like the shape does for snow crystals.
Effects of high CO 2 andwarming on a Baltic Seamicrozooplankton community

Henriette G. Horn1*, Maarten Boersma1,2, Jessica Garzke3, Martin G. J. Löder1‡, Ulrich Sommer3, and Nicole Aberle1 Biologische Anstalt Helgoland, Alfred-Wegener-Institut Helmholtz-Zentrum für Polarund Meeresforschung, Postfach 180, 27483 Helgoland, Germany University of Bremen, Bremen, Germany GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany *Corresponding author: tel: + 49 4725 819 3372; fax: + 49 4725 819 3369; e-mail: henriette.horn@awi.de Present address: University of Bayreuth, Animal Ecology I, Universitätsstraße 30, 95440 Bayreuth, Germany.
Migration of Bulgarian Population – Characteristics and Relations to the Regional Socio-economic Disparities

The paper suggests a short overview of migration processes in Bulgaria since the start of its democratization and transition to market economy. The socio-demographic structure of both potential and return migrants is evaluated empirically using a large sample data for 2013 representative for Bulgarian population aged 18-65. On the basis of a ranking of Bulgarian regions and districts by an integral score of their socio-economic development (involving a set of development indicators) a range of regional disparities are revealed in respect of migration potential, return migration, and remittances allocation and utilization. The rich empirical evidence suggests that Bulgarian migration policies should emphasize substantially on the issues of regional disbalances in order to offset the evaluated distortions.
Supernova Remnant-Cosmic Ray connection: a modern view

Abstract The Cosmic Ray (CR) physics has entered a new era driven by high precision measurements coming from direct detection (especially AMS-02 and PAMELA) and also from gamma-ray observations (Fermi-LAT). In this review we focus our attention on how such data impact the understanding of the supernova remnant paradigm for the origin of CRs. In particular we discuss advancement in the field concerning the three main stages of the CR life: the acceleration process, the escape from the sources and the propagation throughout the Galaxy. We show how the new data reveal a phenomenology richest than previously thought that could even challenge the current understanding of CR origin.
Seismic Surface Wave Investigation of the Lake Erie Bluffs

Both natural and human activities contribute to bluff erosion along the Lake Erie coastline. Bluff erosion may become problematic over time because structures have been built on the bluff. Many factors contribute to bluff erosion; processes such as wave, ground water, surface water and human activity all play a role. A further understanding of the local geology may aid in identifying areas that are at greater risks of high rates of erosion. Geophysical methods are non-invasive techniques that have been used to investigate the near-surface for more than thirty years. There are several seismic methods used to explore the near-surface and seismic surface wave analysis is one such method. The Multichannel Analysis of Surface Waves (MASW) relies on the use of seismic surface waves, in particular Rayleigh waves, to investigate the upper several meters of the subsurface. The end result of the MASW method is to produce a 2-D shear-wave velocity profile of the subsurface. Because shear-wave velocities give an indication of subsurface material stiffness they may be used to help in understanding near-surface conditions and potential influences on erosion.
Carbon balance in East European tundra

We studied the carbon dioxide and methane fluxes from early June to mid‐September 2001 in the Russian tundra of northeast Europe. Gas fluxes were measured with chamber techniques to determine the seasonal (100 days) carbon gas balance for terrestrial ecosystems representing various vegetation types. Also, the gas balance for aquatic ecosystems in the region was measured. The 2001 fluxes were compared to colder and wetter season fluxes from 1999. The Sphagnum sp. dominated peat plateau fen and Carex sp. and Sphagnum sp. dominated intermediate flarks were carbon sinks of 106 and 110 g C m−2, respectively. In addition, methane emissions were highest from these sites. Other terrestrial surfaces lost carbon to the atmosphere (28–118 g C m−2). The thermokarst lake and the river had seasonal carbon losses of 15 and 34 g C m−2, respectively. For areal integration, the distributions of the various functional surfaces were classified based on Landsat TM satellite image and on‐site validation. This data was used to integrate the carbon fluxes for the entire Lek Vorkuta catchment. The upscaling indicated that the catchment (114 km2) lost 4 (±3.5) Gg C to the atmosphere in summer 2001. The results suggest that predicted warming in the tundra region would induce a substantial loss of carbon. In the warm summer of 2001, the carbon gas released from the whole northeast European tundra (area 205,000 km2) was 8 Tg C when calculated from the Lek Vorkuta data.
Induction of systemic resistance and defense-related enzymes in tomato plants using Pseudomonas fluorescens CHAO and salicylic acid against root-knot nematode Meloidogyne javanica

Root-knot nematodes (Meloidogyne spp.) are the most economically important group of plant parasitic nematodes on many crops worldwide. Resistance-based management is considered as one of the most sound and effective strategies against these patho- gens. Plant-mediated systemic resistance against the M. javanica in tomato cv. CALJN3 was triggered using salicylic acid (SA) and Pseudomonas fluorescens CHAO as elicitors. The effect of each elicitor was assayed by (1) the calculation of nematode indices including the number of nematode galls, egg masses and eggs/egg mass; (2) the analysis of changes in the concentration of reactive oxygen species (ROS); and (3) monitoring the activities of their scavenging enzymes viz. superoxide dismutase (SOD), peroxidase (POX), and catalase (CAT). The results indicated that SA/bacterial elicitors induced the removal of high concentrations of the toxic ROS via an increase in the activity of their scavenging antioxidant enzymes, especially that of catalase. Moreover, pre- or post-treatment applica- tion of the elicitors significantly reduced the number of galls, egg masses or eggs of M. javanica in infected tomato plants as compared to the control. The results of the present study support the involvement of the elicitor-induced ROS and related scavenging enzymes for stimulating plant defense reactions in a moderately resistant tomato challenged with M. javanica.
The shocked outflow in NGC 4051-momentum-driven feedback, ultrafast outflows and warm absorbers

An extended XMM-Newton observation of the Seyfert 1 galaxy NGC 4051 in 2009 revealed an unusually rich absorption spectrum with outflow velocities, in both RGS and EPIC spectra, up to ~ 9000 km/s (Pounds and Vaughan 2011). Evidence was again seen for a fast ionised wind with velocity ~ 0.12c (Tombesi 2010, Pounds and Vaughan 2012). Detailed modelling with the XSTAR photoionisation code now confirms the general correlation of velocity and ionisation predicted by mass conservation in a Compton-cooled shocked wind (King 2010). We attribute the strong column density gradient in the model to the addition of strong two-body cooling in the later stages of the flow, causing the ionisation (and velocity) to fall more quickly, and confining the lower ionisation gas to a narrower region. The column density and recombination timescale of the highly ionised flow component, seen mainly in Fe K lines, determine the primary shell thickness which, when compared with the theoretical Compton cooling length, determines a shock radius of ~ 10^17 cm. Variable radiative recombination continua (RRC) provide a key to scaling the lower ionisation gas, with the RRC flux then allowing a consistency check on the overall flow geometry. We conclude that the 2009 observation of NGC 4051 gives strong support to the idea that a fast, highly ionised wind, launched from the vicinity of the supermassive black hole, will lose much of its mechanical energy after shocking against the ISM at a sufficiently small radius for strong Compton cooling. However, the total flow momentum will be conserved, retaining the potential for a powerful AGN wind to support momentum-driven feedback (King 2003; 2005). We speculate that the `warm absorber' components often seen in AGN spectra result from accumulation of shocked wind and ejected ISM.
Comparision of Imagej Analysis of Structure of Two Constructional Steel

An image analysis processing method for the measurement of structure of Federated and Ukraine steel from optical microscope images using imagej program is studied. Some parameters like calculation of area, pixel value statistics, distances and angles measurements, edge detection, such as the circularity, ferret angle, solidity and perimeter, average area and the percentage area was examined. Federated grain count was 114 with perimeter of 447.15 and also has a standard deviation of 7.306 and mean of 27.526. While Ukraine, has a grain count to be 1248 with perimeter of 67.243 and a standard deviation of 5.886 and mean of 28.039. From the mechanical analysis result, 12 mm of Federated steel has the hardness value of 150.8BHN and also has the highest impact value of 66.37J. From the Coefficient of Friction (COF) analysis, Ukraine has a better COF which means the Ukraine steel has a better wear resistance compares with Federated steel.
Spray dried aqueous extract of Orthosiphon aristatus Blume (Java tea)

Orthosiphon aristatus (Lamiaceae) is an herb medicinal found mainly in China, Indian and South East Asia. The purpose of this work was to develop a technological process for obtaining dry extract of Orthosiphon aristatus by spray dry. A process for the obtaining of dry extract from aqueous extract of Orthosiphon aristatus was studied. Response Surface Methodology experimental design was applied to evaluate the effects of inlet and outlet air temperature on drying yield (%). Mixture experimental design was applied to evaluate the drying adjuvant - total solids relation. Maltodextrin was evaluated as drying adjuvant. The best results were obtained when applying an inlet temperature of 120 °C and outlet temperature of 80 °C and a drying adjuvant - total solids relation (w/w) of 60:40. Under these conditions it was demonstrated that the process is reproducible scale studied.
Review of Ontology Evolution Process

Ontologies are formal artifacts that are designed to represent the knowledge related to a specific or generic domain in terms of the relevant concepts, relationships between these concepts and the instances of these concepts. Ontology evolution can be defined as the process to adapt and change the ontology in a timely and consistent manner. In this paper, we present a brief description of ontology evolution process of recent research.
Emulation of Synthetic Hyperspectral Sentinel-2-Like Reflectance Images Using Neural Networks

Hyperspectral satellite images provide highly-resolved spectral information for large areas. However, spaceborne imaging spectrometers are expensive and currently only a few hyperspectral satellites are in operation. This is a strong limitation, since hyperspectral satellite data provide vital information for numerous fields of application. To overcome this, we developed an emulator using machine learning techniques to generate a synthetic hyperspectral satellite image based on the relationship of a Sentinel-2 (S2) scene and a hyperspectral HyPlant airborne image. The proposed approach was tested on data sets recorded from an agricultural region in western Germany and the results show that a reliable hyperspectral image with the spectral resolution of HyPlant and the spatial extent of the S2 scene can be generated. We systematically tested the approach for different spatial resolutions, including and excluding the S2 spectral bands B1 (coastal aerosol band) and B10 (cirrus band), different machine learning regression algorithms and different numbers of training samples. The best performing parameters were: excluding B1 and B10 bands, resample to 20m and train the emulator with a Neural Networks (NN) with 100'000 samples. That emulator was then applied to the L2A (bottom-of-atmosphere reflectance) S2 subset, and obtained hyperspectral reflectance data were then compared to a reference HyPlant reflectance image of the same region. The synthetic hyperspectral S2-like map was generated quickly and a good agreement with the reference reflectance was achieved. To evaluate the result image we selected the band located at 760 nm due to its importance for the retrieval of solar-induced fluorescence. Goodness-of-fit results (R2 of 0.92 and NRMSE of 3.87%) suggest that hyperspectral S2-like reflectance scenes can be produced with high accuracy. The emulator was then applied to a full S2 tile to generate a hyperspectral S2-like reflectance scene (60 Gb), which took less than one hour.
Genetic gain , increase in inbreeding rate and generation interval in alternatives of Pinzgau breeding program

The aim of this paper was to analyse alternatives of Pinzgau breeding program. Alternatives were optimised for genetic gain of selection index composed of parameters of milk efficiency traits and increase in inbreeding per generation. A scheme using the mating of 70% old proven sires led to a lower increase in inbreeding per generation from 0.248% to 1.903% than a young sires scheme with 0.313–2.177% or 0.303–2.18% without MOET when 2, 5, 10 and 20 proven sires were used in the population. Schemes using 70% mating of young sires resulted in a shorter generation interval of 3.46 years in comparison with proven sires scheme with 4.06 years. Young sires breeding program yielded lower genetic gain from 420.1 SKK per year when 20 proven sires were used to 578.44 SKK per year when 2 proven bulls were selected in the population. Proven sires breeding program led to higher genetic gain from 400.17 SKK (with 20 proven bulls) to 629.72 SKK (2 proven bulls). In a group with 20 proven bulls young sires breeding program with MOET resulted in genetic gain 466.38 SKK comparable to young sires breeding program without MOET with 10 proven sires. In groups with 10 or 5 proven bulls this alternative led to the highest genetic gain 515.45 SKK and 565.25 SKK, respectively. A group with 2 proven bulls in MOET scheme achieved similar genetic gain (629.14 SKK) like the proven sires scheme.
Fixed-dose combinations at the front line of multimodal pain management: perspective of the nurse-prescriber

1Department of Pain Medicine, Beaumont Hospital, Beaumont, Dublin, Ireland; 2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Association of Chronic Pain Patients, Houston, TX; Department of Pharmacology, Temple University School of Medicine, Philadelphia, PA, USA; 3Arthritis Center Twente, Enschede, The Netherlands; 4Department of Endocrinology, Diabetology and Osteology, Kantonsspital St Gallen, Switzerland; 5Centro de Salud Universitario Goya, Madrid, Spain; 6Kansas University Medical Center, Kansas City, and International Clinic Research, Leawood, KS, USA; 7Service de Medecine Interne et Consultation de la Douleur, Hopital Hotel Dieu, Paris Descartes University, Paris, France; 8Department of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia PA, USA