Miracle-dz/UniFAR-FTUs huggingface dataset:
Formal versus Bounded Norms in the Psychology of Rationality: Toward a Multilevel Analysis of Their Relationship

It is often claimed that formal and optimizing norms of the standard conception of rationality and the heuristics of the bounded rationality approach are at odds with one another. This claim, I argue, is an overly complex one. In order to discuss it adequately, I introduce two sets of distinctions: (a) a system of different kinds of relations between conceptions of rationality, namely relations of elimination, compatibility, and complementarity, and (b) three different levels of possible relations between rules of different theories of rationality—the levels of empirical explanation, normative justification, and normative prescription. I argue that formal and bounded rules are compatible and complementary at the levels of explanation and justification, but probably not so at the level of prescription.
Blockchain in IoT Systems: End-to-End Delay Evaluation

Providing security and privacy for the Internet of Things (IoT) applications while ensuring a minimum level of performance requirements is an open research challenge. Recently, blockchain offers a promising solution to overcome the current peer-to-peer networks limitations. In the context of IoT, Byzantine fault tolerance (BFT)-based consensus protocols are used due to the energy efficiency advantage over other consensus protocols. The consensus process in BFT is done by electing a group of authenticated nodes. The elected nodes will be responsible for ensuring the data blocks’ integrity through defining a total order on the blocks and preventing the concurrently appended blocks from containing conflicting data. However, the blockchain consensus layer contributes the most performance overhead. Therefore, a performance study needs to be conducted especially for the IoT applications that are subject to maximum delay constraints. In this paper, we obtain a mathematical expression to calculate the end-to-end delay with different network configurations, i.e., number of network hops and replica machines. We validate the proposed analytical model with simulation. Our results show that the unique characteristics of IoT traffic have an undeniable impact on the end-to-end delay requirement.
Synthesis of planar parallel manipulators including dexterity, force transmission and stiffness index

Abstract In this article, we propose a method for the optimal dimensional synthesis of planar parallel manipulators covering a specified workspace. The proposed method aims to reduce the dimensions of the links, while maximizing the dexterity index over the workspace and it improves the rate of forces transmission and the manipulator stiffness. We study the stiffness of the manipulator through the analysis of deformations based on the finite elements method. The optimization is performed using genetic algorithms, particle swarm optimization and a hybrid method based on the combination of both methods. As study cases, we apply the propose method to the dimensional synthesis of two planar parallel manipulators. Compare to the results obtained analyzing a manipulator with links length within the design space, yet not optimal, the obtained manipulators through the proposed method meet the requirements of workspace while also showing an improved performance in terms of dexterity, forces transmission and stiffness.
Effects of deep placement of controlled-release nitrogen fertilizer on soybean growth and yield under sulfur deficiency

ABSTRACT Sulfur (S) and Nitrogen (N) metabolisms in plants are interacted and it is known that S deficiency decrease N absorption and metabolism. In leguminous plants S deficiency also decreases N2 fixation by rhizobia in the nodules. Deep placement of a controlled-release N fertilizer is a good method to provide nitrogen to soybean without inhibiting N2 fixation; thus, it was hypothesized that this method is able to provide nitrogen effectively to sulfur-deficient soybean plants. In this study effects of deep placement of coated urea on S-N physicological interaction, growth and productivity in soybean plants were examined using pot experiments. Soybean plants were grown with sulfate concentrations of 30, 100, or 1000 μM, with or without deep placement of coated urea. Shoot weights at the developing stage were not affected by S deficiency. SPAD values of leaves during the flowering stage decreased with S deficiency and increased with the deep placement of coated urea. S deficiency decreased seed weight per plant at the harvesting stage, but this decrease was attenuated by the deep placement of coated urea. N and S content in shoots at the developing stage increased with the deep placement of coated urea, whereas in seeds, only the N content increased. N2 fixation activity based on the relative ureide-N content in xylem sap indicated that the deep placement of coated urea did not inhibit N2 fixation activity at the early flowering stage. Without deep placement of coated urea, the relative ureide-N content decreased under S deficiency at the seed filling stage. These results suggest that the deep placement of coated urea is an efficient method to supply N to support soybean yield under S deficiency. Abbreviations: Deep+: with deep placement of coated urea; Deep–: without deep placement of coated urea
Comparison study of neural network and deep neural network on repricing GAP prediction in Indonesian conventional public bank

The economic condition of a country is determined by the bank condition of that country it self, so that's why the whole world keep looking for the most effective and efficient method in conducting the assessment of the bank performance condition. Risk rate is commonly used to perform an analysis of the health condition of the bank, mainly using repricing gap. This research is propose deep neural network (DNN) which is one of deep learning algorithm as a method to predict the value of the repricing gap of the bank. The experiments is do a performance comparison of two methods that are neural network - standard backpropagation (SB) and DNN, by using 10 years historical data of monthly report. In DNN is using autoencoder which is an unsupervised algorithm as initiator value gradient on the formation of the network. The experimental results of both methods is the performance of DNN is better than SB. Using 30700 iteration, obtained the MSE value for DNN is more lower than SB. At high iteration amount, DNN still consistent to press the MSE value, and it's different with SB that start slowing down at the earliest iteration point, about 5700 iteration. DNN network topology that used in the experiments is the topology that can produce a model that have the most minimum MSE value, and that is equal network topology. (Every hidden layer neuron has the same number of units).
Cyber-Physical Security Design in Multimedia Data Cache Resource Allocation for Industrial Networks

For cyber-physical industrial networks, more and more multimedia data is faced in high-speed information transmission. The explosive data brings more challenges to the architecture of modern industrial networks. In this way, cache resource allocation technology is necessary for practical applications. In order to design reasonable caching framework, how to predict the multimedia data request is an important issue. In order to keep efficient and reliable data transmission in wireless industrial networks, security design is also critical for existing cache resource allocation. Based on previous works, some promising technologies have been applied, such as heterogeneous ultradense networks, wireless edge caching, and web content popularity prediction. In this paper, we summarize these promising technologies and provide a useful guidance for security design in cyber-physical cache resource allocation system. Specially, we can divide the proposed method into three main steps. First of all, a spatio-temporal multimedia content prediction based on long short-term memory is proposed for accurate prediction on multimedia data request. After that, we make use of Zipf fitting for caching model. At last, the caching optimization considering security is put forward in this paper. Experimental results show the satisfied performance of our proposed algorithm and it has obvious potential application value in cyber-physical industrial networks with cache resource allocation technology.
Endovascular aortic repair reduces gluteal oxygenation

Background Provoked gluteal claudication is a known risk after endovascular aortic repair (EVAR). Lowered gluteal muscle oxygenation (SgmO2) may be demonstrated by near-infrared spectroscopy (NIRS). Purpose To evaluate NIRS-determined SgmO2 in EVAR patients. Material and Methods NIRS-determined SgmO2 was used in an observational study design (n = 17). From the ambulatory setting, seven EVAR patients were included with reported gluteal claudication from medical records. In 10 patients scheduled for EVAR, SgmO2 was measured before and after the procedure. NIRS sensors were applied bilaterally on the gluteal region. Treadmill walking (12% incline, 2.4 km/h) was introduced to stress gluteal muscles. Results A reduced SgmO2 with regional side difference (P < 0.05) was noted in all 10 patients following EVAR and four reported gluteal claudication. In patients with gluteal claudication (n = 7), treadmill decreased SgmO2. The time to recover the SgmO2 was prolonged for tissue exposed to occluded hypogastric artery (median = 512 s, range = 73–1207 s vs. median = 137, range = 0–643 s; P = 0.046). Conclusions EVAR affects gluteal muscle oxygenation. NIRS could be used to assess whether gluteal claudication is related to lowered SgmO2.
The Bioconductor channel in F1000Research

Bioconductor ( bioconductor.org) is a rich source of software and know-how for the integrative analysis of genomic data. The Bioconductor channel in F1000Research provides a forum for task-oriented workflows that cover a solution to a current, important problem in genome-scale data analysis. It also hosts manuscripts describing software packages, package-based vignettes, teaching labs, benchmark studies, methodological reviews and bioinformatics software oriented perspective papers.
Computation of Dynamic Operating Balancing Reserve for Wind Power Integration for the Time-Horizon 1–48 Hours

A challenge now facing utilities is how to adjust reserves in the operations-planning horizon of 0 to 48 hours ahead to mitigate the effects of wind variability and forecast uncertainties, in addition to those of load uncertainties and unavailability of generation. Reserves are maintained to ensure a high level of reliability and security to the system. They are subdivided into two groups: those responding within an intrahourly time horizon to regulate power imbalances, and those responding over a 1-48 hours ahead time horizon addressing the net forecast uncertainties. In this paper, we present a methodology for calculating reserves in the latter category, referred to as balancing reserves (BRs), following the integration of wind generation in a power system. Their computation is based on maintaining a predefined level of risk. The novelty here is that wind forecast error distributions are adjusted as a function of wind generation forecast levels. Gamma-like distributions with time-varying parameters, estimated from real data, were chosen to approximate the wind generation forecast errors. It is shown that this improved modeling significantly modifies the values of required balancing reserves and associated risk. The methodology developed is based on a clear criterion, namely risk, and it demonstrates the imperativeness of considering dynamic balancing reserves as a function of the imminent wind generation forecast.
New Design of Quantized Hall Resistance Array Device

We propose a new design for a 10-<formula formulatype="inline"><tex Notation="TeX">$\hbox{k}\Omega$</tex></formula> quantized Hall resistance (QHR) array device. This design realizes quantized resistance values that approach decade values with fewer Hall bars. In this design, the 10-<formula formulatype="inline"><tex Notation="TeX">$\hbox{k}\Omega$</tex></formula> QHR array device consists of only 16 Hall bars, and this number is about 16 times lower than that in the previous design, although the nominal value is identical to the previous one. The nominal value of this device shows a relative difference of only 0.034 <formula formulatype="inline"><tex Notation="TeX">$\mu\Omega/\Omega$</tex></formula>, based on <formula formulatype="inline"><tex Notation="TeX">$R_{K - 90}\ (=25\,812.807\ \Omega)$</tex></formula>, from the exact value of 10 <formula formulatype="inline"><tex Notation="TeX">$\hbox{k}\Omega$</tex></formula>. This fact might allow us to evaluate each Hall bar in the array device. The parameters of this 10-<formula formulatype="inline"><tex Notation="TeX">$\hbox{k}\Omega$</tex> </formula> QHR array device were measured by a conventional QHR and cryogenic current comparator using the 100- <formula formulatype="inline"><tex Notation="TeX">$\Omega$</tex></formula> standard resistor. According to the measurement, the value of the 10-<formula formulatype="inline"><tex Notation="TeX">$\hbox{k}\Omega$</tex></formula> QHR array device agrees with its nominal value within around one part in <formula formulatype="inline"><tex Notation="TeX">$10^{8}$</tex></formula>. In the same manner, new combinations of Hall bars were designed for the 100-<formula formulatype="inline"><tex Notation="TeX">$\Omega$</tex> </formula>–1-<formula formulatype="inline"><tex Notation="TeX">$\hbox{M}\Omega$</tex></formula> range.
Phase locked loop based on an observer for grid synchronization

Grid synchronization technique is essential for grid-connected power converters. Phase locked loop (PLL) has been exploited as an implementation technique. However, additional efforts are required for PLL to deal with severely distorted grid voltages. In this paper, an observer is proposed to enhance the performance of PLL. A state equation is formulated to extract positive-sequence voltage from the distorted grid voltage and is utilized to construct the observer. Guidelines are suggested to set the gains of the observer along with its internal transfer functions. The PLL combined with the proposed observer has been tested in simulations and experiments in contrast to dual second order generalized integrator frequency locked loop (DSOGI-FLL). The results have validated that the proposed method reveals better phase-tracking performance for grid synchronization.
Photonics — Electronics integration on CMOS

Silicon photonics has generated an outstanding interest for optical communications and for inter and intra-chip interconnects in electronic systems. High performance generic building blocks that can be used for a broad range of applications have already been demonstrated such as waveguides, I/O couplers, laser sources by III-V/Si heterogeneous integration, fast silicon modulators and germanium photodetectors. The paper will also review the different scenarios for integrating photonic functions with an electronic circuit, as well as the associated design, test and packaging challenges.
Niche‐based processes outperform neutral processes when predicting distance decay in co‐dominance along the Amazon – Andes rainforest gradient

QUESTION: Dispersal limitation (neutral hypothesis) and deterministic factors (niche hypothesis) shape floristic gradients including between‐site patterns of species’ dominance (co‐dominance). Because their relative importance remains poorly known, we ask how their comparative contribution to co‐dominance changes with elevation and geographical extent. LOCATION: Madidi region, NW Bolivia. METHODS: We analysed floristic composition and environmental factors of 90 plots spanning the gradient from Amazonian (<1,000 m) to montane forests at three elevations (1,200–1,500; 2,000–2,300; and 2,800–3,200 m) and two geographical extents: local (plots <12 km apart) and regional (38–120 km apart). We modelled distance decay within each elevational band with a neutral model, using two parameters (speciation rate and dispersal distance). Subsequently, we related the model's residuals to environmental differences using flexible machine learning models. RESULTS: We found that 5–44% of the variability in floristic differences along the gradient studied can be explained by a neutral model of distance decay, while 18–50% can be explained by environmental differences. Montane forests showed an overall gradient in floristic composition that is congruent with an increase in elevation for both dispersal limitation and environmental filtering. However, Amazonian forest was more niche‐structured and more dispersal‐limited relative to its elevation and topography. CONCLUSIONS: Environmental differences explained floristic differences better than the neutral model, even giving preferential attribution to the more parsimonious neutral processes.
Cognitive Behavioral Play Therapy in Behavior Consultation Treatment: Making Behavior Changes from the Inside Out in Down Syndrome

Bu makale, hafif zihinsel ozurluluge eslik eden Down Sendromuna (DS) sahip bir ogrencinin sozel ve fiziksel saldirganlik ile ortaya cikan duygu kontrolunu hedefleyerek gerceklestirilen bireysellestirilmis Bilissel Davranisci Oyun Terapisi (CBPT) mudahalesini sunmaktadir. Bu mudahale, Ankara'da bulunan gelisimsel ve fiziksel engelli cocuklar icin kurulmus ozel bir klinikte (ozel egitim ve rehabilitasyon merkezi) gerceklestirilmistir. Arastirmada yer alan mudahaleyi degerlendirmek icin tek denekli arastirma modellerinden davranislar arasi coklu baslama duzeyi modeli kullanilmistir. Down sendromu tanisina eslik eden hafif zihinsel yetersizlige sahip hem duygu durum hem de davranis bozuklugu gosteren 14 yasindaki bir kiz ogrencidir. Katilimcinin duygu duzenlemedeki zorluklari, digerlerine zarar vermek, tekmelemek ve bagirmak gibi fiziksel ve sozlu saldirgan davranislar da dahil olmak uzere, yuksek seviye problem davranislardir ve hizla artma potansiyeline sahiptir. Mudahaleyi degerlendirmek icin tek denekli arastirma modeli olan davranislar arasi coklu baslama duzeyi modeline yer verilmistir. Bilissel Davranisci Oyun Terapisi (BDOT) icindeki dinamik surec, degisimleri icten, bilissel sureclere mudahale ile baslatarak disa dogru yani acikca gorulen olumlu davranis degisikliklerinin ortaya konmasina hizmet eden bir yapi seklinde arastirmada yer almistir. Sonuclar katilimcinin yikici davranis sikliginda azalma ve iletisim becerilerinde artis seklinde yorumlanmistir. Bu calisma, DS ve hafif zihinsel yetersizligi olan bireylerle calisan danismanlar icin, ozellikle uyum davranislara yonelik etkin mudahalelerin gelistirilmesi ve onaylanmasina yonelik onemli bir adim teskil etmektedir. BDOT gibi hibrid yontemlerin disavurum davranis sorunlari icin, farkli yetersizlige sahip gruplarda davranissal konsultasyon surecleri icerisinde arastirilmasina ihtiyac vardir.
Modifying ability for biofilm formation by clinical isolates of gram-negative microorganisms under negative pressure conditions in vitro

Vacuum-assisted closure therapy has been utilized as a ubiquitous wound management resource. Current studies of the subject focus on the influence of negative pressure on the bacterial load of wound bed and the possibility to remove matured biofilm, however, its impact on the ability of microorganisms to activate or reduce the biofilm producing modality remains unexplored. The goal of the present study was to evaluate the potential effect of negative pressure on biofilm producing modality of gram-negative rods with regard of initial biofilm positive or biofilm negative phenotype. Biofilm formation was evaluated for the strains of A. baumannii, P. aeruginosa, E. cloace, K. pneumonia and P. mirabilis isolated from infected war wounds of the extremities. The changes of optical density of the biofilm produced by the same strain under normal and negative pressure conditions, as well as the number of strains, which modified their ability to biofilm production, were measured. The strains with initial biofilm negative phenotype under negative pressure switched to biofilm producing more vigorously than biofilm positive ones regardless of their taxonomical belonging. Pseudomonas strains demonstrate the highest rate of induction to biofilm producing under negative pressure conditions among all studied microorganisms. Thus, the activation of biofilm producing mechanisms under negative pressure could be considered as a protective strategy, which helps ensure persistence of microorganisms in the wound even in case the vacuum-assisted closure therapy is applied.
The Relationship between Demographic Characteristics and Organisational Commitment in Saudi Arabia

The study investigated how demographic characteristics influence well-educated, young employees and their commitment to the organisation. A sample of 376 managers from 23 international and local banks located in Saudi Arabia were surveyed and their responses analysed. The results revealed that while the respondents had a high level of organisational commitment, their demographic characteristics marginally influenced their commitment. The findings, therefore, suggest that demographic characteristics, such as employee age or tenure, were not suitable predictors of organisational commitment. Further analysis highlights that there are differences between Asian employees' behaviour and that of employees in other regions. A discussion is provided and further research opportunities are identified.
A Systematic Controller Design for a Photovoltaic Generator with Boost Converter Using Integral State Feedback Control

In this paper, a systematic controller design for a photovoltaic generator with boost converter using integral state feedback control is proposed. It is demonstrated that the state–space feedback enables the extraction of maximum available power under variable loads. For this purpose, a control-oriented state-space model of a photovoltaic array connected to a DC load by a boost converter is derived. This model is then linearized by one working point, but no further simplifications are made. The design-oriented model contains the dynamics of PV generator, boost converter, and the load. The controller design is based on the augmented model with an integral component. The controller is validated by a detailed plant model implemented in Simscape. The robustness of the controller with variable solar irradiation and DC load changes is demonstrated.
A Bidirectional Three-Phase Push–Pull Converter With Dual Asymmetrical PWM Method

This paper proposes a new bidirectional three-phase push-pull converter that has a simple structure and achieves zero-voltage switching turn-on of switches. Also, due to use of a single inductor, an imbalance among phase currents on the low-voltage high-current side is trivial in the proposed converter although no current sharing control is employed. In this paper, a new dual asymmetrical pulse width modulation (PWM) switching method is proposed for bidirectional power flow control with seamless mode change. The proposed switching method offers reduced circulating current and makes the converter easier to implement compared to the PWM plus phase shift-based control method since it is a general PWM method having two independent duty cycle controls on each side. Experimental results from a 3-kW prototype are provided to validate the proposed concept.