Miracle-dz/UniFAR-FTUs huggingface dataset:
Literature review: Decision to Choose Non-Subsidized Home Ownership Loans at PT. Bank Tabungan Negara for North Sumatra Region

The goal of this study's literature review is to address the theoretical needs of the decision to choose non-subsidized home ownership loans at PT. Bank Tabungan Negara for the North Sumatra Region. The fundamental theory employed in this study is called Service Dominant Logic, and it focuses on a way of thinking that can lead to numerous opportunities for innovation and the design of service business models. It also emphasizes networking and working with different parties to create value for a particular class of customers. The Middle Theory that is employed is the Theory of Reasoned Action, which is concerned with a person's desire to act in a particular manner in a given circumstance. The areas of purchasing choices, marketing mix, digital transformation, and banking innovation are the focus of applied theory. As one of the State-Owned Enterprises, PT. Bank Tabungan Negara for the North Sumatra Region can use this concept to make it easier for them to operationalize services that meet local demands. PT. Bank Tabungan Negara for North Sumatra Region currently offers a wide range of product facilities, including service products, funds, and other credit products in addition to home ownership loan products. Basically, BTN concentrates on funding mortgages. PT. Bank Tabungan Negara for North Sumatra Region can undertake commercial operations in the future using the principles found in this research as a research foundation. conclusion that the decision to choose non-subsidized home ownership loans can be developed through the Marketing Mix; Banking Innovation; Digital Transformation; and Choosing Decision as an integrated approach for PT. Bank Tabungan Negara for the North Sumatra Region is reached based on the survey results from the study of scientific literature.
Patient behavior detection based on time-frequency fusion of FMCW radar

This paper proposes a novel time-frequency feature fusion method to recognise patients’ behaviours based on the Frequency Modulated Continuous Wave (FMCW) radar system, which can locate patients as well as recognise their current actions and thus is expected to solve the shortage of medical staff caused by the novel coronavirus pneumonia (COVID-19). To recognise the patient’s behaviour, the FMCW radar is utilised to acquire point clouds reflected by the human body, and the micro-Doppler spectrogram is generated by human motion. Then features are extracted and fused from the time-domain information of point clouds and the frequency-domain information of the micro-Doppler spectrogram respectively. According to the fused features, the patient’s behaviour is recognised by a Bayesian optimisation random forest algorithm, where the role of Bayesian optimisation is to select the best hyper-parameters for the random forest, i.e. the number of random forest decision trees, the depth of leaves, and the number of features. The experimental results show that an average accuracy of 99.3% can be achieved by using the time-frequency fusion with the Bayesian optimisation random forest model to recognise six actions.
Analysis of pressure at transition zone of valve plate of radial piston pump

In present studies focuses on the characteristics of flow-pressure of piston cylinder barrel and silencing groove chambers near the transition zone of valve plate of a fixed displacement radial piston pump. The designing of silencing groove of valve plate of the pump is carried out with appropriate geometrical configuration, compute the orifice area of piston kidney over the silencing grooves and manifolds, the interaction area make a key role in fluid flow interaction. The pressure and flow of pump is analyzed in consideration the silencing groove as separate control volume from manifold, each silencing groove chamber is connected to the both end of the manifold chamber, the shape of the silencing groove is an asymmetric tetrahedron. The radial piston pump is modelled in simulation with consideration of five pump pistons barrel, analyses the pressures near at transition zone with different bridge angle. The flows interaction of pump piston cylinder barrel with silencing groove chamber and manifold chamber are also carried out. The overall pump volumetric efficiency, flow and pressure fluctuation of radial piston pump are analyzed to optimize the pump.
Time-Print: Authenticating USB Flash Drives with Novel Timing Fingerprints

Universal Serial Bus (USB) ports are a ubiquitous feature in computer systems and offer a cheap and efficient way to provide power and data connectivity between a host and peripheral devices. Even with the rise of cloud and off-site computing, USB has played a major role in enabling data transfer between devices. Its usage is especially prevalent in high-security environments where systems are ‘air-gapped’ and not connected to the Internet. However, recent research has demonstrated that USB is not nearly as secure as once thought, with different attacks showing that modified firmware on USB mass storage devices can compromise a host system. While many defenses have been proposed, they require user interaction, advanced hardware support (incompatible with legacy devices), or utilize device identifiers that can be subverted by an attacker. In this paper, we present Time-Print, a novel timing-based fingerprinting method, for identifying USB mass storage devices. We create a fingerprint by timing a series of read operations from different locations on a drive, as the timing variations are unique enough to identify individual USB devices. Time-Print is low overhead, completely software-based, and does not require any extra or specialized hardware. To validate the efficacy of Time-Print, we examine more than 40 USB flash drives and conduct experiments in multiple authentication scenarios. The experimental results show that Time-Print can (1) identify known/unknown brand/model USB devices with greater than 99.5% accuracy, (2) identify seen/unseen devices of the same brand/model with 95% accuracy, and (3) classify USB devices from the same brand/model with an average accuracy of 98.7%.
Charge-based interactions through peptide position 4 drive diversity of antigen presentation by human leukocyte antigen class I molecules

Abstract Human leukocyte antigen class I (HLA-I) molecules bind and present peptides at the cell surface to facilitate the induction of appropriate CD8+ T cell-mediated immune responses to pathogen- and self-derived proteins. The HLA-I peptide-binding cleft contains dominant anchor sites in the B and F pockets that interact primarily with amino acids at peptide position 2 and the C-terminus, respectively. Nonpocket peptide–HLA interactions also contribute to peptide binding and stability, but these secondary interactions are thought to be unique to individual HLA allotypes or to specific peptide antigens. Here, we show that two positively charged residues located near the top of peptide-binding cleft facilitate interactions with negatively charged residues at position 4 of presented peptides, which occur at elevated frequencies across most HLA-I allotypes. Loss of these interactions was shown to impair HLA-I/peptide binding and complex stability, as demonstrated by both in vitro and in silico experiments. Furthermore, mutation of these Arginine-65 (R65) and/or Lysine-66 (K66) residues in HLA-A*02:01 and A*24:02 significantly reduced HLA-I cell surface expression while also reducing the diversity of the presented peptide repertoire by up to 5-fold. The impact of the R65 mutation demonstrates that nonpocket HLA-I/peptide interactions can constitute anchor motifs that exert an unexpectedly broad influence on HLA-I-mediated antigen presentation. These findings provide fundamental insights into peptide antigen binding that could broadly inform epitope discovery in the context of viral vaccine development and cancer immunotherapy.
Validación de una Versión Breve del Test de Empatía Cognitiva y Afectiva en Población Universitaria Argentina

El objetivo de este trabajo fue examinar diferentes evidencias de validez de una versión breve del Test de Empatía Cognitiva y Afectiva (TECA) para población universitaria argentina. Se realizaron 2 estudios. En el Estudio 1 mediante un muestreo no probabilístico, participaron 1135 jóvenes universitarios de entre 18 y 30 años, de tres universidades y tres provincias argentinas. Se evaluó la discriminación de los ítems, la estructura subyacente del TECA mediante análisis factorial confirmatorio, y la consistencia interna de la escala. En el Estudio 2, mediante un muestreo no probabilístico, participaron 425 jóvenes universitarios de entre 18 y 30 años, de tres universidades de la provincia de Santa Fe, Argentina. Se evaluaron diferentes evidencias de validez externa (comparación de grupos, validez convergente y de relación entre constructos teóricos). Los resultados indicaron índices de ajuste más satisfactorios para la versión reducida. La fiabilidad compuesta fue adecuada y los indicadores de validez resultaron en línea con lo teóricamente esperado. Es posible concluir que la versión breve del TECA presenta adecuadas propiedades psicométricas y posibilita una evaluación práctica y ágil de los componentes cognitivos y afectivos de la empatía en jóvenes universitarios argentinos, resultando especialmente útil en contextos de investigación
Enterprise Complementarity Based on Patent Information

The combination of complementary patents can better promote the advancement of technology, and complementary companies can help companies bring better benefits. This topic has carried out patent complementarity research and proposed a patent complementarity algorithm based on patent technology tree. By calculating the complementarity calculation method of a given patent, the company with the strongest complementarity with known patents is obtained. First, the patent text is represented sentence vectors by LSTM model. Second, the generated sentence vectors are clustered, and the patent information is marked with different categories. Then, the patent word vector is obtained by the CNN text classification model to obtain the confidence that the patent belongs to the corresponding category. Finally, the confidence of the patent and the complementarity coefficient based on the patent classification number are combined to obtain the interpatent complementarity. Calculate the average of the complementarity between all patents and a given patent under the same company, and the company with the greatest complementarity is the complementary company sought. The method combines the patent text and the patent classification number, obtains the similarity of the text semantics through the deep learning model, and quantifies the complementarity of the patents, and the discriminating basis is more accurate and reliable.
Feedback Control of Karman Vortex Shedding

Abstract : A direct numerical simulation of the Navier-Stokes equations of a feedback controlled cylinder wake flow at the Reynolds number of 60 is presented. The simulation shows that vortex shedding behind a circular cylinder is suppressed to a significant degree by applying a feedback forcing with an appropriate phase via blowing/suction slots located at +/-110 deg from the leading edge. Depending on the phase of the feedback forcing relative to the vortex shedding phase, the shedding of the vortices is either suppressed (stabilized) or further enhanced (destabilized). Active control, Torpedo.
Lexicographic Maximum Flow Allowing Intermediate Storage

In a capacitated network, an optimum solution of the maximum flow problem is to send as much flow as possible from the source node to the sink node as efficiently as possible by satisfying the capacity and conservation constraints. But, because of the limited capacity on the arcs, total amount of flow out going from the source may not reach to the sink. If the excess amount of flow can be stored at the intermediate nodes, total amount of flow outgoing from the source can be increased significantly. Similarly, different destinations have their own importance with respect to some circumstances. Motivated with these scenarios, we introduce the lexicographic maximum flow problems with intermediate storage in static and dynamic networks by assigning the priority order to the nodes. We extend this notion to arc reversals approach, a flow maximization technique, which is widely accepted in evacuation planning as it increases the outbound arc capacities by using the arc capacities on the opposite direction as well. Travel times along the anti-parallel arcs is considered to be unequal and we take into account the travel time of the reversed arcs to be equal to the travel time of the non-reversed arc towards which the arc is reversed. We present polynomial time algorithms for the solution of these problems.
Integrated design of residual generation and evaluation for fault detection of networked control systems

In this paper, integrated design of residual generation and evaluation is proposed to fault detection (FD) of networked control systems. Both the imperfect network transmissions and the sampling effects are considered under the assumption that no stochastic network model is available. By deriving a linear discrete time‐varying system equivalent to the sampled plant, the continuous‐time behaviors of disturbances and faults during sampling intervals are captured. Moreover, the effects of unknown but bounded packet delays and dropouts in the controller‐to‐actuator link are described by uncertain input delays with finite number of possibilities. A parity relation‐based FD module with multiple residuals is constructed for the derived system model. For the constructed FD module, the set of undetectable faults is obtained from integrated analysis of residual generation and evaluation and then designed to achieve its worst‐case minimal geometrical size while guaranteeing zero false alarms. Simulation results on a networked three‐tank system are provided to show the merits of the proposed integrated design approach. Copyright © 2015 John Wiley & Sons, Ltd.
Effective Antioxidant Activities of Anthocyanins as Affected by pH of Antioxidant Assays

This study analyzed the effect of pH on antioxidant activities of anthocyanins. Five black glutinous rice bran crude extracts (BBCs) with different anthocyanin content were compared. They were referred to as Moo Ser (MS), Saked (SK), Phayao (PY), Phichit (PC) and Kao Kor (KK). The antioxidant activities were evaluated using 2 in vitro antioxidant assays conducted at different pH, DPPH (pH 5.5) and FRAP (pH 3.6). Total anthocyanin content (TAC) of KK (23 g/kg) was the highest, followed by PC (13 g/kg), PY and SK (both 11 g/kg), and MS (10 g/kg). The pH of the assays affected the activity of the anthocyanins as the KK showed DPPH scavenging activity comparable to other BBCs but exhibited significantly greater FRAP antioxidant activity. To eliminate possible interference by other active components in the BBC, anthocyanin-rich isolate (ARI) was then isolated from KK. The ARI contained 90 % cyanidin-3-glucoside as analyzed by HPLC. The ARI was dissolved in 5 different buffer solutions (pH 1, 3, 5, 7, and 9) and incubated for 1 h, 3 days, and 1 week before the evaluation of antioxidant activities. All ARI-containing buffer solutions exhibited comparable DPPH scavenging activity. However, the ones at pH 5 and 7 solutions were less reactive than others when tested with the FRAP assay. These results indicated that anthocyanin is a good antioxidant not only in an acidic environment but also in higher pH ranges. This suggests that the utilization of anthocyanins as natural antioxidants in products such as food and cosmetics is not limited by the pH of the products.
Microseismic wavefield propagation in a fracture‐induced anisotropic medium based on a general dislocation source model

The propagation of microseismicity in subsurface media is complex. We developed an anisotropic petrophysical model based on an empirical formula, linear slip theory and the bond transform method considering real underground conditions. Using Biot's equations, the seismic response to a general dislocation source in fracture‐induced anisotropic two‐phased media was solved using a staggered grid high‐order finite‐difference algorithm. To understand the relationship between the microseismic wave and fracture parameters, we then designed several different models to calculate the wavefield snapshots and analyse the effect of the fracture volume ratio and orientation. The modelling results indicate that the shear faulting source generates three types of waves in two‐phase media. Fractures can render homogeneous media anisotropic, and anisotropy becomes more noticeable with an increase in the fracture volume ratio. This decreases the velocity of the fast longitudinal and transverse waves in the vertical direction and increases the velocity of the slow longitudinal wave in a certain range. The fracture orientation mainly influences the moment tensor and then affects the wavefronts. These simulations lay the foundation for further studies on microseismic wave propagation in fracture‐induced anisotropic media.
Defining Youth Environmental Value Towards First Class Mindset Component: A Scale Development

One of the elements to creating a first-class mindset among youth is environmental value. The present study was conducted to validate the component to build the model of environmental values amongst Malaysian youths with first-class minds. One thousand Malaysian youths were selected from five geographical zones (North, Central, South, East Coast, and East Malaysia). The sample was chosen using a stratified random sampling technique that considered gender, age, and location. A questionnaire was used as the research instrument. The environmental value constructs generated via exploratory factor analysis (EFA) were anthropocentric, ecocentric, and egocentric. The data were analysed to determine reliability using Cronbach’s alpha. Confirmatory factor analysis (CFA) was used to obtain a three-factor solution with SPSS Version 22 and AMOS Version 20. The analysis showed that Cronbach’s alpha was greater than 0.7, indicating high reliability. According to the recommended fit indices, the CFA analysis for the measurement model revealed that the three-factor solution was acceptable (CMIN=58.739, DF=32, CMIN/DF=3.967, GFI=.905, CFI=.966, TLI=.965, and RMSEA=.092). Therefore, the 28-item measurement model developed was appropriate for assessing the level of environmental value amongst youths with first-class minds. It could be used as a backup when developing environmental value instruments.
Sequential downscaling of GRACE products to map groundwater level changes in Krishna River basin

ABSTRACT We propose a deep learning model: long short-term memory (LSTM) networks to spatially downscale Global Recovery and Climate Experiment (GRACE)-derived terrestrial water storage anomalies (TWSA) with an objective to map groundwater level anomalies (GWLA) at 0.25° resolution for basin-scale applications. Monthly TWSA from global spherical harmonic (GSH) and global mascons (GM) during 2002 to 2017 were obtained at 1° scales for the Krishna River. Eleven hydro-climatic variables were considered to observe their dependence on TWSA and further reduced to three principal components. The LSTM’s recurrent neural networks, with a 12-month lag to control flow of information in the memory units, were applied to downscale TWSA. At basin scale, downscaled GWLA from the two GRACE solutions have reasonably captured the observed trends (r > 0.6); however, GSH has underestimated the peaks (BIAS = 7.83 cm). The strong signal amplitude resulting from reduced leakage made GM a better choice over GSH in downscaling TWSA, particularly for the land–ocean mixed pixels (rGM = 0.74, rGSH = 0.62).
Transparency through Explanations and Justifications in Human-Robot Task-Based Communications

Abstract Transparent task-based communication between human instructors and robot instructees requires robots to be able to determine whether a human instruction can and should be carried out, i.e., whether the human is authorized, and whether the robot can and should do it. If the instruction is not appropriate, the robot needs to be able to reject it in a transparent manner by including its reasons for the rejection. In this article, we provide a brief overview of our work on natural language understanding and transparent communication in the Distributed Integrated Affect Reflection Cognition (DIARC) architecture and demonstrate how the robot can perform different inferences based on context to determine whether it should reject a human instruction. Specifically, we discuss four task-based dialogues and show videos of the interactions with fully autonomous robots that are able to reject human commands and provide succinct explanations and justifications for their rejection. The proposed approach can form the basis of further algorithmic developments for adapting the robot’s level of transparency for different interlocutors and contexts.
A Unified Treatment for the Inverses of M-Matrices and Scalars

Abstract It is interesting to find conditions under which matrices follow the same algebraic rules as scalars. For example, conditions that guarantee if two nonsingular matrices A and B are ordered as , then their inverses satisfy , where the ordering is understood to be element-wise. In this article, we provide an elementary proof for such a theorem.
Open ocean and coastal strains of the N2-fixing cyanobacterium UCYN-A have distinct transcriptomes

Decades of research on marine N2 fixation focused on Trichodesmium, which are generally free-living cyanobacteria, but in recent years the endosymbiotic cyanobacterium Candidatus Atelocyanobacterium thalassa (UCYN-A) has received increasing attention. However, few studies have shed light on the influence of the host versus the habitat on UCYN-A N2 fixation and overall metabolism. Here we compared transcriptomes from natural populations of UCYN-A from oligotrophic open-ocean versus nutrient-rich coastal waters, using a microarray that targets the full genomes of UCYN-A1 and UCYN-A2 and known genes for UCYN-A3. We found that UCYN-A2, usually regarded as adapted to coastal environments, was transcriptionally very active in the open ocean and appeared to be less impacted by habitat change than UCYN-A1. Across habitats and sublineages, genes for N2 fixation and energy production had high transcript levels, and, intriguingly, were among the minority of genes that kept the same schedule of diel expression. This might indicate different regulatory mechanisms for genes that are critical to the symbiosis for the exchange of nitrogen for carbon from the host. Our results underscore the importance of N2 fixation in UCYN-A symbioses across habitats, with consequences for community interactions and global biogeochemical cycles.
Analysis of circular data in the dynamic model and mixture of von Mises distributions

Analysis of circular data becomes more and more popular in many fields of studies. In this report, I present two statistical analysis of circular data using von Mises distributions. Firstly, the maximization-expectation algorithm is reviewed and used to classify and estimate circular data from the mixture of von Mises distributions. Secondly, Forward Filtering Backward Smoothing method via particle filtering is reviewed and implemented when circular data appears in the dynamic state-space models.