Miracle-dz/UniFAR-FTUs huggingface dataset:
GENERATING ALBEDO BOUNDARY CONDITIONS FOR NODAL DIFFUSION CODES USING SERPENT 2

We use the Serpent Monte Carlo code to produce total and partial albedo boundary conditions that can be used to model the Loviisa NPP VVER-440 core with the nodal neutronics tools of Fortum. The albedo generation process is described in detail. The dependence of the generated albedos on boron content and water density is investigated and a clear distinction is noted in water density dependence between regions containing mostly water and those containing mostly structural materials. The Serpent generated albedos are currently used in production calculations for modeling the Loviisa reactors at Fortum.
SAPEM: Secure Attestation of Program Execution and Program Memory for IoT Applications

: Security is one of the major challenges that devices connected to the Internet of Things (IoT) face today. Remote attestation is used to measure these devices’ trustworthiness on the network by measuring the device platform’s integrity. Several software-based attestation mechanisms have been proposed, but none of them can detect runtime attacks. Although some researchers have attempted to tackle these attacks, the proposed techniques require additional secured hardware parts to be integrated with the attested devices to achieve their aim. These solutions are expensive and not suitable in many cases. This paper proposes a dual attestation process, SAPEM, with two phases: static and dynamic. The static attestation phase examines the program memory of the attested device. The dynamic program flow attestation examines the execution correctness of the application code. It can detect code injection and runtime attacks that hijack the control-flow, including data attacks that affect the program control-flow. The main aim is to minimize attestation overhead while maintaining our ability to detect the specified attacks. We validated SAPEM by implementing it on Raspberry Pi using its TrustZone extension. We attested it against the specified attacks and compared its performance with the related work in the literature. The results show that SAPEM significantly minimizes performance overhead while reliably detecting runtime attacks at the binary level.
Integrated analysis of the Brazilian nuclear energy system

National energy planning aims to develop short to long‐term strategies based on a holistic assessment of all available energy sources, guiding trends, and delimiting alternatives to expand the energy segment. In order to maintain the expansion of the electricity supply system while reducing greenhouse gas emissions, it is essential to use alternative low‐carbon energy sources. The present work aims to use the modeling tool MESSAGE to analyze and evaluate a system of electricity generation from nuclear sources since nuclear energy is an important complementary option for the national energy mix. Thus, this work assesses in an integrated way the national nuclear energy system from its beginning (1983) until 2050. The use of this modeling tool allows a comprehensive analysis of the energy system including energy demand from domestic resources, energy conversion technologies, money flows, investment requirements, and emissions. Therefore, these results provide a basis to support decision‐makers to choose the most appropriate energy mix for national energy planning.
Preparation and Characterization of Polyimide/TiO2 Nano-composites for Non-lethal Weapon

A series of Polyimide/TiO2 (PI/TiO2) nano-composites were successfully prepared by incorporating different nano-sized TiO2 contents into PI which derived from pyromellitic dianhydride (PMDA) and a flexible diamine 4,4-bis(3-aminophenoxy)biphenyl (4,3-BAPOBP) via in-situ polymerization and a thermal imidization method. The micromorphology, chemical structure of samples were investigated by scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared (FTIR). The SEM results show that when the content of nano-TiO2 is lower, the nano-TiO2 can be distributed uniformly in the matrix by the method of this experiment scheme, and signs of agglomeration have begun to appear when the TiO2 content is 12 wt. %. XRD patterns reveal the crystal structure of TiO2 remains unchanged and stable after being doped into PI matrix, and the TiO2 nano-particles have good compatibility with PI matrix
On a Pseudo-Formal Linearization Method Based on Fourier Series Expansion

This paper is concerned with a pseudo-formal linearization method using the Fourier series expansion. The given nonlinear dynamic system is piecewisely linearized into some augmented linear systems with respect to a linearization function that consists of the state variables and their trigonometric functions. The resulting linear systems are smoothly united into a single system. Its application to a nonlinear observer and numerical examples are also included.
MCFINet: Multidepth Convolution Network With Shallow-Deep Feature Integration for Semantic Labeling in Remote Sensing Images

Semantic labeling in remote sensing images is an important and challenging technique, which has attracted increasing attention recently in earth detection, environmental protection, land utilization, and so on. However, it remains a challenge on how to effectively label objects with varied scales and similar textures in literature. Addressing this challenge, we propose a multidepth convolution network with shallow-deep feature integration, called MCFINet, which could effectively integrate multiscale contexts and shallow-layer/deep-layer features for labeling various objects. In the proposed network, we design two new modules—a multidepth convolutional module (MDCM) and an adaptive feature integration module (AFIM). The MDCM employs multilayer convolutions with varied layer numbers but fixed small-sized kernels in parallel to capture multiscale contexts, while the AFIM adaptively integrates the shallow-layer and deep-layer features of the proposed network to capture more discriminant features for segmenting objects with similar textures. Extensive experimental results on two benchmark data sets demonstrate that MCFINet could achieve better performances than seven existing methods in most cases.
Molecular mechanism of the selectivity between BAFF/APRIL and their receptors by molecular simulations

Abstract B-cell activating factor (BAFF) and a proliferation-inducing ligand (APRIL) belonging to the tumour necrosis factor (TNF) ligand family can bind three unusual TNF receptors (BCMA, TACI and BR3) with various binding affinities. BAFF and APRIL are regarded as promising therapeutic targets for autoimmune diseases because of their pivotal roles in cell survival and immune regulation. In this work, we carried out molecular dynamics calculations to explore the structural and chemical features responsible for ligand recognition by extracellular functional segments of TNF receptors. We found that the conserved pocket Dcons of BAFF/APRIL contacted the DxL motif of TNF receptors, while the Dspe1–3 sub-domains were responsible for their different affinities, especially Dspe1 and Dspe2. The residues at position II–V of DxL motif were wrapped into the Dcons pocket via salt-bridge and hydrophobic interactions. The hydrophobic residues of strand3 and helix1 in TNF receptors provided remarkable contributions for the affinities to BAFF/APRIL. Additionally, ArgVI of DxL motif played a key role in the binding selectivity via salt-bridge interaction with residue D275B in BAFF. Arg27 in BCMA contributed to the high affinity for APRIL so that BCMA showed a preference for APRIL. Our studies indicated that Arg84 and Gln95 in TACI2 played an important role in the selectivity of two cysteine-rich domain segments in TACI, leading to the higher binding affinities of TACI2 than those of TACI1. The primary cause of the disability to bind APRIL was the space conflict with the rigid conformation of the C-terminus coil of BR3. These thorough understanding of the molecular mechanism for BAFF/APRIL recognition by their receptors provides new insights for guiding inhibitor design.
High‐frequency pulse width modulation noise reduction for permanent magnet synchronous motors using hybrid asymmetrical regular sampled modified space‐vector pulse width modulation

Correspondence Yongxiang Xu, School of Electrical Engineering, Harbin Institute of Technology, Harbin 150006, China. Email: xuyx@hit.edu. cn Abstract This paper proposes a strategy called hybrid asymmetrical regular sampled modified spacevector pulse width modulation technique in two-level voltage source inverters. Based on the existing modified space-vector pulse width modulation, the presented strategy further changes the phase voltage waveform and carrier period, therefore not only eliminating the pulse width modulation noise nearby odd-order carrier frequency but also reducing the noise around even-order carrier frequency. Moreover, the frequency band is not elevated due to the periodical varying switching frequency. Under the condition of achieving similar high-frequency harmonic performance, the proposed strategy will save at least 25% switching loss compared with conventional space-vector pulse width modulation. Moreover, the dynamic performance of the drive system using the hybrid asymmetrical regular sampled modified space-vector pulse width modulation can also be improved by asymmetrical regular sample. Implementation process has been introduced and the noise elimination principle has been analysed by mathematical demonstration. Finally, the effectiveness of the proposed strategy has been confirmed by simulation and detailed experimental results.
The DISCO App: Evaluating an Electronic Patient Intervention to Reduce The Financial Burden of Cancer Through Improved Cost Communication In A Non-Randomized Pilot Trial

Background: Financial toxicity affects 30-50% of people with cancer in the US. Although experts recommend patients and oncologists discuss treatment cost, cost discussions occur infrequently. Using a non-randomized pre-test post-test design, we pilot-tested the feasibility, acceptability and preliminary effectiveness of the DIScussions of COst (DISCO) App, a patient communication intervention designed to improve the frequency of cost discussions and related outcomes. Methods: While waiting to see their oncologist, patients (n=32) used the DISCO App on a tablet. Clinic visits were video recorded and patients completed pre- and post-intervention measures of self-efficacy for managing treatment costs, self-efficacy for interacting with oncologists, cost-related distress, and perceptions of the DISCO App. Coders observed the recordings to determine the presence of cost discussions, initiators, and topics. Results: Most patients (84%) reported needing <15 minutes to use the DISCO App. Patients reported the DISCO App made it easier to ask cost-related questions. Findings showed increased self-efficacy for managing treatment costs (p=.02) and for interacting with oncologists (p=.001). All clinic visits included a cost discussion. Conclusion: The DISCO App is feasible, acceptable, and effective in prompting cost discussions and improving outcomes. Prompting patients to discuss costs before meeting with an oncologist may improve treatment cost discussions and related outcomes.Trial registration: Clinical Trials.gov registration number: NCT03676920 (September 19, 2018)
Dielectric Characterization of Ex Vivo Ovine and Human Adrenal Glands for Microwave Thermal Ablation Applications

Historically, adrenal glands diseases causing hypertension, such as Primary Aldosteronism (PA), have been treated through pharmacotherapy or surgical resection. Given the shortcomings of the available treatment options, the interest in alternative and less invasive treatment modalities such as microwave ablation (MWA), has increased. In order to develop and optimize this novel electromagnetic-based therapy, an accurate knowledge of the dielectric properties of human adrenal glands, as well as preclinical animal models, is crucial. In particular, ovine models represent a feasible animal model to test the safety and performances of MWA. In this study, the dielectric properties of ovine adrenal glands and of normal and diseased human adrenal glands are characterized ex vivo in the microwave frequency range. The dielectric properties of the two functional tissues (cortex and medulla) composing ovine adrenal glands are measured using the open-ended coaxial probe technique and represented with a two pole Cole-Cole model in the frequency range from 0.5 GHz to 8 GHz. This paper presents the first dielectric data of normal and diseased human adrenal tissues, including a functioning adenoma responsible for PA and it compares the human data with data from the animal model.
Self-assessment and Peer-assessment in EFL Context: An Investigation of Writing Performance and Writing Self-efficacy

The significance of alternative assessment in second language (L2) has been widely acknowledged in the literature. However, the implementation of alternative assessment in English as a Foreign Language (EFL) context has not been much welcome by L2 educators and practitioners. To contribute to this line of inquiry, the aim of the present research was set to explore the impact of implementing self-assessment and peer-assessment practices on writing performance and writing self-efficacy of EFL learners in Iran. To this end, a total number of 36 homogeneous intermediate learners were selected as the participants who were then randomly assigned to a self-assessment group (N= 17) and a peer-assessment group (N= 19). As for the treatment of the present study, the participants of the self-assessment group were taught to self-assess their writing tasks, whereas the participants of the peer-assessment group were taught to assess the writings of their peers. Two timed-writing essays and the Writing Self-Efficacy Scale (WSES) wereadministered to collect the data. The results obtained from performing paired-samples t-tests and ANCOVA indicated that both self- and peer-assessment activities significantly contributed to improving writing performance and writing self-efficacy of the participants. Nevertheless, it was revealed that the participants of the peer-assessment group performed better than those in the self-assessment group in terms of both writing performance and writing self-efficacy, showing that peer-assessment activities were more effective than self-assessment activities in increasing writing competencies and self-efficacy of the participants. The findings of the study offer theoretical and pedagogical implications for L2 researchers and practitioners.
Indoor Visible Light Localization Based on Finite State Markov Chain

In the study of indoor visible light localization, the variance of the RSS(Received Signal Strength) distribution will be affected by environmental noise, resulting in a larger range of RSS value fluctuations. A method is proposed to decompose the RSS value into the disturbance component caused by the target and the noise component caused by the environment, and then a linear transfer model based on the finite state Markov chain is used to extract the disturbance component in RSS value. Finally, the DTW(Dynamic Time Warping) algorithm is used to match the real-time disturbance component with the fingerprint database to achieve target positioning.
Synthesis and Biological Evaluation of Pyrazolyl Isoxazolines as Antimicrobial Agents

Pyrazolyl isoxazolines were synthesized by 1,3-dipolar cycloaddition of pyrazolyl nitrile oxide with various activated alkene such as acrylonitrile, methyl acrylate and vinyl acetate in the presence of iodobenzene diacetate in methanol containing a catalytic amount of TFA at room temperature with an aim to explore their effect on in vitro growth of microorganism causing microbial infection. Eleven compounds were tested in vitro for their antibacterial activity against two Gram-positive bacteria namely, Staphylococcus aureus , Bacillus subtilis and two Gram-negative bacteria namely, Escherichia coli and Pseudomonas aeruginosa . All the synthesized compounds were also tested for their inhibitory action against two strains of fungus.
The ENEA-REG system (v1.0), a multi-component regional earth system model. Sensitivity to different atmospheric component over Med-CORDEX region

Abstract. In this study, a new regional Earth system model is developed and applied to the Med-CORDEX region. The ENEA-REG system is made up of two interchangeable regional climate models as atmospheric components (RegCM and WRF), a river model (HD), and an ocean model (MITgcm); processes taking place at the land surface are represented within the atmospheric models with the possibility to use several land surface schemes of different complexity. The coupling between these components is performed through the RegESM driver. Here, we present and describe our regional Earth system model and evaluate its components using a multidecadal hindcast simulation over the period 1980–2013 driven by ERA-INTERIM reanalysis. We show how the atmospheric components are able to correctly reproduce both large-scale and local features of the Euro-Mediterranean climate, although some remarkable biases are relevant for some variables. In particular, WRF has a significant cold bias during winter over North-Eastern bound of the domain, while RegCM systematically overestimates the wind speed over the Mediterranean Sea. This latter bias has severe consequences on the ocean component: we show that when WRF is used as the atmospheric component of the Earth system, the performances of the ocean model are remarkably better compared with the RegCM version. Our regional Earth system model allows studying the Euro-Mediterranean climate system and can be applied to both hindcast and scenario simulations.
Effect of different Jeevamrut based liquid organic formulations on biochemical properties of soil and on plant growth of blackgram [Vigna mungo (L.) Hepper] under pot culture conditions

A pot culture experiment was conducted at organic farming unit, Rajasthan College of Agriculture, MPUAT, Udaipur, to study the effect of different jeevamrut based liquid organic formulations on biochemical properties of soil and on plant growth of blackgram during kharif 2019. The various types of liquid organic formulations were prepared from plant and animal origin wastes and are effective in the promotion of growth and fruiting in blackgram. Jeevamruth promotes immense biological activity in soil and enhance nutrient availability to crop. Similarly, beneficial effects of silicon, vermiwash and leaf extracts (of lemon grass and Aleo vera) have been reported to protect the crop from soil borne and seed borne pathogens and also improves seed germination. In the present study, significant highest plant growth and root length was recorded with the application of jeevamrut + lemon leaf extract (2.5%) + Aloe vera leaf extract (2.5%) + silica (1%) + vermiwash (5%) and it was found to be significantly superior over other treatments. The N, P, and K concentration of plants and microbial population and dehydrogenase activity of soil was significantly highest in the treatment given jeevamrut + lemon leaf extract (2.5%) + Aloe vera leaf extract (2.5%) + silica (1%) + vermiwash (5%).
MANAGEMENT USING CLUSTERING ALGORITHMS

Document management systems are complex systems, which offer services as storage, versioning, metadata, security, as well as indexing and retrieval capabilities. Large numbers of documents could be automatically grouped into classes of documents, which contain similar information. Therefor we propose to use clustering methods in order to group the documents. Clustering is an important process in text mining used for groping documents based on their contents in order to extract knowledge. In this paper we will present some requirements for clustering algorithms for a document management system
Conservation of Natural Resource Management in the Buffer Village Community of Alas Purwo Banyuwangi National Park East Java Indonesia Based on Local Wisdom

This research describes the life of the people around the buffer village area of Alas Purwo National Park which has local wisdom in the form of a number of traditions, in the form of rules or restrictions that are still valid for generations. This local wisdom has the value of ecological intelligence that is maintained and developed so as not to be driven by modernization. Local wisdom owned by the community is used as a reference in the management of forest areas, both myths, abstinence. The type of research used is descriptive qualitative with sociological approach with case study design. The results showed that the community around Alas Purwo National Park area has local wisdom in the form of a number of traditions, rules or restrictions that are still valid for generations that are then maintained and obeyed until now. The restriction is in the form of a ban on killing peacocks and menco and abstinence in the payang system. DOI: https://doi.org/10.26905/lw.v13i1. 5109
Moisture Removal Techniques for a Continuous Emission Monitoring System: A Review

A continuous emission monitoring system (CEMS) is a well-known tool used to analyze the concentrations of air pollutants from stationary sources. In a CEMS, the presence of a high moisture level in a sample causes a loss of analytes due to artifact formation or absorption. This issue brings about a bias in the measurement data. Thus, moisture removal is an important pretreatment step. Condensation and permeation methods have been widely employed to remove moisture from the CEMS for gaseous compounds. In terms of particulate matter, dilution methods have been applied to reduce the moisture level in the gas stream. Therefore, condensation, permeation, and dilution methods are critically reviewed in this work. The removal efficiencies and recovery rates of analytes are discussed, as well as the advantages and disadvantages of each technique. Furthermore, the suitable applications of each technique are determined. Condensation methods have not been well documented so far, while permeation and dilution methods have been continuously studied. Many types of permeation materials have been developed. The limitations of each method have been overcome over the years. However, the most reliable technique has not yet been discovered.
The relation between CEO equity incentives and the quality of accounting disclosures: New evidence

Abstract This paper provides new evidence on the negative relation between CEO equity incentives and accounting disclosure quality. We analyze a comprehensive set of disclosure quality variables, including discretionary accruals quality, the quantity and quality of voluntary disclosures, fineness of reported financial statement information, and the narrative quality of regulatory filings, and use them to create information disclosure quality indices. We address the potential endogeneity of CEO equity incentives by conducting two-stage least squares/IV models and natural experiments created by situations in which there is an exogenous shock to the use or value of CEO stock options. Our results are robust to subsample analyses and to alternative measures of the incentives created by CEO options.