Miracle-dz/UniFAR-FTUs huggingface dataset:
Uji Akurasi Hasil Teknologi Pesawat Udara Tanpa Awak (Unmanned Aerial Vehicle) Dalam Aplikasi Pemetaan Kebencanaan Kepesisiran

Teknologi perolehan data spasial menggunakan sistem pesawat udara tanpa awak (UAV/Unmanned Aerial Vehicle) menjadi salah satu tekonologi pemotretan udara yang menghasilkan data spasial detil, namun penggunaannya untuk pemetaan khususnya pemetaan kebencanaan masih perlu dikaji lebih mendalam. Tujuan penelitian ialah untuk menguji ketelitian geometrik dan semantik Foto Udara Format Kecil (FUFK) dari teknologi UAV yang ke depannya data akan digunakan sebagai input pemetaan kebencanaan. Ketelitian geometrik (horizontal dan vertikal) diuji dengan membandingkan antara koordinat mosaik ortho dan Digital Terrain Model (DTM) terhadap pengukuran GNSS RTK. Data spasial yang dihasilkan dari teknologi UAV pada penelitian ini mempunyai ketelitian geometrik 0,649 m horizontal dan 1,494 m vertikal sehingga masih dapat digunakan untuk pemetaan skala besar 1:5.000 (Sutanto, 2013). Uji ketelitian semantik dengan nilai NIIRS level 6 menunjukkan bahwa FUFK hasil teknologi UAV ini mampu mempermudah interpretasi objek geografik.
Modeling of Mutually Coupled Switched Reluctance Motors Based on Net Flux Method

Modeling and accurate estimation of mutual flux in switched reluctance motors are complex due to interphase flux interactions, magnetic saturation, and harmonics. The mutual flux contributes significantly toward torque production of mutually coupled switched reluctance motors (MCSRMs); therefore, their accurate modeling directly influences the control design. In this article, a net-flux-based machine model is proposed to model MCSRMs. The model utilizes dual-phase excitation and multiphase excitation methods to generate the flux lookup tables from the finite-element model of the MCSRM. The modeling process is simple, as it does not require the segregation of the self- and mutual flux components, and machine performance can be predicted accurately using the net flux. The proposed modeling method is validated by implementing it for a fully pitched and concentrated-wound MCSRM and evaluating accuracy against the finite-element method. Details of the developed model are presented along with its comparison with existing methods. A prototype of a fully pitched MCSRM has been built, and the model is validated experimentally. Results show that the proposed model has excellent accuracy even under saturated operating conditions.
Mate selection provides similar genetic progress and average inbreeding than optimum contribution selection in the long-term

Optimum contribution selection (OCS) and mate selection (MS) are alternative strategies to maximize genetic gain under controlled rates of inbreeding. There is evidence in the literature that MS outperforms OCS in controlling inbreeding under the same expected genetic gain in the short-term. It is unclear, however, if the same would occur in the long-term. This study aimed to compare OCS and MS regarding short and long-term genetic progress and inbreeding, using simulated data. The structure of the simulated population aimed to mimic an aquaculture breeding program. Twenty discrete generations were simulated, considering 50 families and 2,000 offspring per generation, and a trait with a heritability of 0.3. OCS and MS were applied using a differential evolution (DE) algorithm, under an objective function that accounted for genetic merit, inbreeding of the future progeny and coancestry among selection candidates. For OCS, the optimization process consisted of selection based on optimum contribution followed by minimum inbreeding mating. Objective functions using different weights on coancestry were tested. For each application, 20 replicates were simulated and the results were compared based on their average. Both strategies, OCS and MS, were very effective in controlling inbreeding over the generations. In the short-term, MS was more efficient than OCS in controlling inbreeding under the same genetic gain. In the long-term, OCS and MS resulted in similar genetic progress and average inbreeding, under the same penalty on coancestry.
Chr21 protein-protein interactions: enrichment in products involved in intellectual disabilities, autism and Late Onset Alzheimer Disease

Intellectual disability (ID) found in Down syndrome (DS), which is characterized by an extra copy of 234 genes on Chr21 is poorly understood. We first used two DS mouse models that either display an extra copy of the Dyrk1A gene or of the mouse Chr16 syntenic region. Exome sequencing of transcripts deregulated in embryonic hippocampus uncovers enrichment in genes involved in chromatin and synapse respectively. Using large-scale yeast two-hybrid screen (154 distinct screens) of human brain library containing at least 107 independent fragments, we identified 3,636 novel protein-protein interactions with an enrichment of direct interactors of both Chromosome 21(Hsa21) baits and rebounds in ID-related genes. Using proximity ligation assays, we identified that Hsa21-encoded proteins are located at the dendritic spine postsynaptic density in a protein network located at the dendritic spine post synapse. We located Hsa21 DYRK1A and DSCAM that confers a ∼ 20-fold increase in Autism Spectrum Disorders (ASDs), in this postsynaptic network. We found that a DSCAM intracellular domain binds either DYRK1A or DLGs that are multimeric scaffolds for the clustering of receptors, ion channels, and associated signaling proteins. The DYRK1A-DSCAM interaction is conserved from drosophila to humans. The identified postsynaptic.network is enriched in ARC-related synaptic plasticity, ASDs and Late-Onset Alzheimer Disease. Altogether, these results emphasize links between DS and brain diseases with complex genetics.
Neuronal circuits underlying visual attention during naturalistic behaviour in zebrafish larvae

To survive, animals need to sustain behavioural responses towards specific environmental stimuli to achieve an overall goal. One example is the hunting behaviour of zebrafish larvae, which is characterised by a set of discrete visuomotor events that begin with prey detection, followed by target-directed swims and end with prey capture. Several studies have begun elucidating the neuronal circuits that govern prey detection and initiation of hunting routines, which are largely dependent on the midbrain optic tectum (OT). However, it is not known how the brain is able to sustain a behavioural routine directed towards a specific target, especially in complex environments containing distractors. In this study, I have discovered that the nucleus isthmus (NI), a midbrain nucleus implicated in visual attention in other vertebrates, is required for sustained tracking of prey during hunting routines in zebrafish larvae. NI neurons co-express cholinergic and glutamatergic markers and possess two types of axonal projection morphology. The first type targets the ipsilateral OT and AF7, a retinorecipient pretectal region involved in hunting. The second type projects bilaterally to the deep OT layers. Laser ablation of the NI followed by tracking of naturalistic hunting behaviour, revealed that while hunting initiation rates and motor kinematics were unaltered, ablated animals showed an elevated probability of aborting hunting routines midway. Moreover, 2-photon calcium imaging of tethered larvae during a closed-loop virtual reality hunting assay, showed that NI neurons are specifically active during hunting. These results suggest that the NI supports the maintenance of action
SN 2020bio: A Double-peaked Type IIb Supernova with Evidence of Early-time Circumstellar Interaction

We present photometric and spectroscopic observations of SN 2020bio, a double-peaked Type IIb supernova (SN) discovered within a day of explosion, primarily obtained by Las Cumbres Observatory and Swift. SN 2020bio displays a rapid and long-lasting initial decline throughout the ﬁrst week of its light curve, similar to other well-studied Type IIb SNe. This early-time emission is thought to originate from the cooling of the extended outer envelope of the progenitor star that is shock-heated by the SN explosion. We compare SN 2020bio to a sample of other double-peaked Type IIb SNe to investigate its progenitor properties. Analytical model ﬁts to the early-time emission give progenitor radius ( ≈ 100– 1500 R (cid:12) ) and H-rich envelope mass ( ≈ 0.01–0.5 M (cid:12) ) estimates that are consistent with other Type IIb SNe. However, SN 2020bio displays several peculiarities, including: 1) weak H spectral features and narrow emission lines indicative of pre-existing circumstellar material; 2) an underluminous secondary light curve peak which implies a small amount of synthesized 56 Ni ( M Ni ≈ 0.02 M (cid:12) ); and 3) low-luminosity nebular [O I] features. These observations are more consistent with a lower-mass progenitor (M ZAMS ≈ 12 M (cid:12) ) that was stripped of most of its H envelope before exploding. This study adds to the growing diversity in the observed properties of Type IIb SNe and their progenitors.
Heavy metal content in annually-banded coral Porites lutea at windward and leeward of Tunda Island, Banten bay, West Java Indonesia

Longterm fluctuation content of heavy metal concentrations (Sr, Cr, Fe, Zn, and Pb) was traced through the analysis of coral skeletal growth bands of massive coral core Porites lutea. Annual growth band was examined using X radiography. Heavy metal samples were extracted from each yearly layer of the core section. Seven samples of the coral skeleton were analyzed using neutron activation analysis and atomic absorption spectrometry to detect metal concentrations. The oldest layer of coring corals obtained from the windward side started from 1940, while in leeward of the island starting from 1969. All five metals from both sides were still detected until 2014. There was significant increase over time of the four metals (Cr, Fe, Zn. and Pb), while the concentrations of strontium remained relatively stable.
Digital Rock Segmentation for Petrophysical Analysis With Reduced User Bias Using Convolutional Neural Networks

Pore‐scale digital images are usually obtained from microcomputed tomography data that has been segmented into void and grain space. Image segmentation is a crucial step in the process of digital rock analysis that can influence pore‐scale characterization studies and/or the numerical simulation of petrophysical properties. This is concerning since all segmentation methods have user‐selected parameters that result in biases. Convolutional neural networks (CNNs) provide a way forward since once trained, CNN can provide consistent and reliable image segmentation with no user‐defined inputs. In this paper, a CNN is used to segment digital sandstone data, and various ground truth data sets are tested. The ground truth images are created based on high‐resolution microcomputed tomography data and corresponding scanning electron microscope data. The results are evaluated in terms of porosity, permeability, and pore size distribution computed from the segmented data. We find that watershed‐based segmentation provides a wide range of possible petrophysical values depending on user‐selected thresholds, whereas CNN provides a smaller variance when trained on scanning electron microscope data. It can be concluded that CNN offers a reliable and consistent way to segment digital sandstone data for petrophysical analyses.
A secure authenticated and key exchange scheme for fog computing

ABSTRACT Fog computing architecture is used in various environments such as smart manufacturing, vehicular ad hoc networks. However, as an extension of cloud computing, inheriting security challenges of cloud computing is inevitable. Recently, Jia et al. proposed an authenticated key exchange scheme for fog-driven IoT health care systems. Unfortunately, we discovered their scheme is vulnerable to an ephemeral secret leakage attack. In this paper, we propose an authenticated key exchange scheme for fog computing. Compared with previous schemes, our proposed scheme performs better in terms of performance and security.
Bank Competition and Enterprise Innovation

This paper makes use of the structural competition of the joint stock commercial banks and city commercial banks brought by the relaxation of China’s banking regulation at the prefecture-level level and the expansion of the number of business outlets, and empirically examines the impact of bank competition on corporate innovation activities. The study found that, overall, bank structural competition has a significant U-shaped effect on corporate innovation activities, that is, when the structural competition of banks has not exceeded the critical value, competition has a restraining effect on corporate innovation, and when the bank’s structural competition has exceeded the critical value, competition will have a positive effect on corporate innovation. The experience of this paper provides important evidence for revisiting and understanding the relationship between the Chinese banking system and corporate innovation. an in-depth understanding of the internal relations the banking system in developing countries of banking systems and corporate uniqueness this basic three types of different the joint-stock commercial and the city commercial banks in the Chinese banking system. The core characteristics of bank competition in the are abstracted into the “structural competition” of banks. On the other empirical facts research, the important finding the structural competition of banks in has a significant and stable U-shaped effect on the enterprises and the innovation activities of local enterprises. unique have found important for frontier area from
Long Distance Coach Services in France and Germany: the new European competition between Flixbus and BlaBlaBus

Long distance passenger mobility is experiencing a huge structural change in France and Germany. Based on Internet technology and customer-oriented services, new entrants in interurban coach services are diversifying the options for the travelers and have been very successful. This market has been deregulated in 2013 in Germany and 2015 in France. New actors are not only challenging rail operators in France and Germany, but also BlaBlaCar, the world leader in ridesharing and sometimes low cost airlines. Long distance coach players have also experienced in 2019 a concentration of actors: Flixbus, the leader with a market share in Germany of 95% has bought the French outsider Eurolines/Isilines. Eurolines/Isilines (Transdev Group) was the dominant operator before deregulation but had not succeeded to become a leader. Ouibus, which is a subsidiary of SNCF-the challenger of Flixbus in France, experienced high losses in operating, which was backed by public fund and debt, was sold to BlaBlaCar. Ouibus changed its name in BlaBlaBus - and is now becoming the French challenger in coach and ride-sharing operation. Flixbus and BlaBlaBus are now moving on the European market: the aim of our paper is to analyze the development strategies of these coach services leaders in France and Germany in a European perspective. What will be the balance? Which new services will emerge?
The effects of Omega-3, Omega-6 Polyunsaturated Fatty Acids (PUFAs) and Vitamin E on patients with the remitting-relapsing (RR) form of Multiple Sclerosis (MS) in Cyprus

Multiple sclerosis is an inflammatory and demyelinating multifactorial disease that results from the interplay between environmental factors and a susceptible genetic background. Omega (ω)-3/ω-6 polyunsaturated fatty acids (PUFAs) and some vitamins have been shown to reduce the number and severity of relapses and the overall progression of disability in multiple sclerosis patients, however clinical trials remain inconclusive due to a plethora of reasons. In this randomized, double blinded, placebo controlled trial aiming to provide concrete conclusions for the role of PUFAs and vitamins A and E (both gamma (γ) and alpha (α)) in multiple sclerosis. By measuring the incorporation and changes of the lipid composition in red blood cell (RBC) membranes before and after the dietary intervention, and by correlating the efficacy of the different interventions with disease progression, it was shown that supplementation with these specific molecules (that can either act on their own or synergistically) could probably cause the decrease of arachidonic acid (AA) and linoleic acid (LA) from the RBC membranes and the subsequent substitution by eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). These events parallel the clinical observations where this can be correlated with the increased number of relapse activity occurring in the first six months of treatment and later with a prolonged period of remission. Supplementation with the mixture of PUFAs (both ω3 and ω6), vitamin E as gamma tocopherol significantly reduced the annualised relapse rate (ARR) and the risk of sustained disability progression without any reported serious adverse events.
An Additive Cellular Automata Based Random Key Generation for One-Time Pad Encryption Using Luhn Method

Abstract This article attempts an additive cellular automata based random key generation using Luhn method which satisfies avalanche, confusion, and diffusion properties for public clouds. It is found that by combining additive cellular automata and Luhn mechanism, a robust master key in the public cloud could be generated. The simulation results show that the proposed scheme has large key space and prevents the traditional attacks in addition to improves execution time for accessing cloud data in the cloud server database. The mathematical analysis confirmed that the proposed scheme result provides high security and integrity in the cloud.
Social Class and Household Consumption: Experience from China

This paper empirically analyzes the influences of Chinese residents’ social class on their household consumption. According to the data of Chinese Family Panel Studies (CFPS) in 2016, considering the endogenous possibility of the social class on household consumption, the regression results of instrumental variables indicate that the social class of Chinese residents has a significant positive impact on household consumption. As for the policy implication behind this paper, when creating relevant consumption policies, responsible government departments in China should fully consider the possibility and complexity of the social class influence of residents on the policy effectiveness.
A novel nonlinear hyperspectral unmixing approach for images of oil spills at sea

ABSTRACT Hyperspectral remote sensing is currently being used to detect and monitor marine oil spills that cause damage to the environment. However, nonlinear interactions of oil and water make it difficult to extract their fractional abundances from the spectral response. Improving the modelling of nonlinear hyperspectral mixtures, which is required for a thorough and reliable characterization of the materials in an image, remains a challenging yet fundamental task. This study proposes a new model that combines polynomial and trigonometric systems to understand the nonlinear effects of oil and water spectral response. Although the model is nonlinear, unmixing is performed by solving a linear problem, thus allowing fast computation. Compared to classic polynomial models, the details of nonlinear interactions are better expressed and quantified, and the reconstruction accuracy and endmember abundance estimation are improved for both synthetic and real datasets. Both the polynomial and trigonometric parts of the model play important roles in characterizing nonlinearities, with statistically linear dependence areas covering more than 90% and 30%, respectively, in oil spill images sampled after the Deepwater Horizon explosion. Analysis of the experimental results suggests that the proposed model provides an efficient and accurate unmixing method that can be used to help design oil spill response plans.
Placing the hybrid origin of the asexual Amazon molly (Poecilia formosa) based on historical climate data

Asexual hybrids are important model organisms for addressing questions in evolution and ecology, especially for understanding the role of hybridization in speciation. They are rare in nature and several hypotheses have been suggested to explain this. We use an asexual fish, the Amazon molly (Poecilia formosa), to establish the area in which it was formed via hybridization 125 000 years ago. Using species distribution models and climate models for the Last Interglacial (LIG) we found that model projections to the LIG show a similar map to the present climate model and parental species potentially overlapped in a relatively small area near Tampico, Mexico. This makes P. formosa one of a few hybrid species for which we know the parental species, the time of hybridization, and likely the place of hybridization. Based on the small area of overlap, our data is in agreement with the idea that asexual hybrids may be rare not because they are evolutionary dead ends but are formed rarely.
Return to Skills in India: The Role of Digital Access and Usage

This article analyses the quality of labour force in India using the data from India’s Citizen Environment and Consumer Economy (ICE) 360° survey (2016), which provides a view on how Indians earn, spend, save, invest, live, think, access amenities and public goods and consume. The approach adopted here provides an alternative perspective on the quality of labour force, which depends on skill levels, education and technology. The analysis reveals that Indian labour markets depicts a clear dichotomy between higher skill levels being dominated largely by the high-skilled workers and the manual jobs with lower skill levels for the low-skilled workers. Technology and digital usage has further accentuated this earnings differential. Also, higher skill levels in India tend to have both higher average earning and education levels compared to their lower skill counterparts, leading to widening the earning inequality.Further, this analysis provides important insights into the low skill levels of the vast Indian labour force, which would require re-qualification and re-specialisation of the labour force in order to compete in fast-changing globalised India. Thus, it becomes critical for Indian policymakers to relook the skill formation and education system to be able to swiftly and effectively respond to constantly evolving skill demand in the local, national and global market.
The role of stress mindset in support provision

Funding information National Science Foundation Graduate Research Fellowships Program, Grant/ Award Number: DGE-1610403 Abstract To better understand the antecedents of support provision within relationships, this study examined the potential role of a novel individual difference; spouses' stress mindset (i.e., beliefs about whether stress-isenhancing or stress-is-debilitating). As individuals with a stress-is-enhancing mindset often underestimate other's stress, we hypothesized that those with a stressis-enhancing mindset will generally provide less and worse support compared to individuals with a stress-is-debilitating mindset. The results revealed few significant associations and the associations that were significant were contrary to predictions. For example, wives with a stress-is-enhancing mindset provided more support, and husbands who perceived their partner as having a more stress-is-enhancing mindset provided better support. Further research is needed to replicate these results and determine whether stress mindset has interpersonal consequences.