Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of a Direct Microcontroller Interface for Capacitively Coupled Resistive Sensors

A novel approach to directly interface a capacitively coupled resistive sensor to a microcontroller is presented in this article. The existing measurement schemes for such sensors are complex. In addition, the coupling capacitance often also holds important data. The proposed simple measurement system, for such series RC sensors, is capable of measuring both the resistance and the coupling capacitance. A detailed analysis on the effect of the nonidealities on the resistance measurement showed that it is independent of the accuracy of the charging capacitor, supply voltage, and preset threshold voltage. The performance of the proposed scheme has been evaluated by building suitable prototypes. Initially, a setup was designed such that the measurement was not limited by the nonidealities of the microcontroller. The test results from this showed a maximum error of 0.28% and 0.96% for the resistance and capacitance measurement, respectively. The subsequent study with the microcontroller interface exhibited a maximum error of 0.91% (resistance) and 2.94% (capacitance). Noise and resolution studies have also been conducted and the results are presented. The accuracy of the prototype is promising, with a measurement time of 5 ms per parameter. This is a practical, low-power, low-cost measurement system as it provides digital data on the resistance and capacitance, in series, using only a microcontroller, and a couple of passive components.
Optimal Dispatch With Transformer Dynamic Thermal Rating in ADNs Incorporating High PV Penetration

Under the high penetration of distributed photovoltaic (PV) resources, distribution networks face great transfer capacity and voltage rise challenges, which drives the transformation to active distribution networks (ADNs). Transformers are critical and costly components that are generally hard to reinforce or replace. Dynamic thermal rating (DTR) is an effective strategy that can enhance the transfer capacity of existing transformers according to the thermal condition of the equipment. In this article, an optimal dispatch model of ADNs incorporating transformer DTR and active management strategies is proposed. The thermal ratings of transformers are determined by the hot-spot temperature and loss of life (LOL) instead of the nameplate rating. Both the operation cost and transformer LOL are cooptimized in the model to avoid considerable insulation damage while enhancing the transfer capacity. The optimization model is transformed into a mixed-integer second-order cone programming (MISOCP) that can be easily solved. Numerical results demonstrate that the proposed model can significantly promote distributed PV accommodation by the synergy of transformer DTR and active management strategies and effectively address the tradeoff between higher utilization of transfer capacity and increased transformer insulation damage.
Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition

Synthetic aperture radar automatic target recognition (SAR ATR) is a key technique of remote-sensing image recognition, which has many potential applications in the fields of military surveillance, national defense, civil application, and so on. With the development of science and technology, deep convolutional neural network (DCNN) has been widely applied for SAR ATR. However, it is difficult to use deep learning to train models with limited ray SAR images. To resolve this problem, we proposed an effectively lightweight attention mechanism CNN (AM-CNN) model for SAR ATR. Extensive experimental results on the Moving and Stationary Target Acquisition and Recognition (MSTAR) data set illustrate that the AM-CNN model can achieve a superior recognition performance, and the average recognition accuracy can reach 99.35% on the classification of 10 class targets. Compared with the traditional CNN and the state-of-the-art method, our model is significantly superior to improve performance and efficiency.
Design and Analysis of an Omnidirectional Dual-Band Wireless Power Transfer System

The wireless power transfer system (WPT) is becoming increasingly important for smart home automation, in which an array of wireless sensors is used to monitor and manage smart devices and furniture. Charging the sensors, which may require different frequencies, at any position in the home is a challenge. In this article, a dual-band omnidirectional 3-D WPT system is introduced for the sensors in a smart home. The power transmitted by the transmitter can be received by any receivers operating at 13.56 and 27.12 MHz located at any position. The dual-band 3-D square and circular transmitters are designed and demonstrated. In particular, an equivalent circuit model of the proposed system is derived and numerically analyzed. In addition, the efficiency of the dual-band 3-D WPT system is evaluated based on the receiving angle through simulation and measurement. At a 16 cm distance, the system can achieve efficiencies of 61.6% and 65.4% (57.15% and 61.2%) for rotating 360° at 13.56 and 27.12 MHz without a null value in the square (circular) system. Furthermore, the effect of the angular misalignment of the receiver on efficiency is also analyzed. Finally, the performance of the WPT system in a concrete structure is validated for practical scenarios.
X-ray diffraction study of a recently identified phase transition in fatty acid Langmuir monolayers

Using Brewster angle microscopy to study fatty acid Langmuir monolayers, Overbeck and Mobius (J. Phys. Chem. 1993, 97, 7999) have observed changes of texture indicating a new phase boundary not visible in monolayer isotherms. We have studied Langmuir monolayers of CH[sub 3](CH[sub 2])[sub 17]COOH at 30[degrees]C using X-ray diffraction. We find that the monolayer undergoes a first-order phase transition from the known L[sub 2] phase in which molecules tilt toward a nearest neighbor to a phase with tilt toward a next-nearest neighbor. Both before and after the transition, the structures are hexagonal in the plane perpendicular to the molecules. Neither the intermolecular spacing in this plane ([approx] 4.85 [angstrom], close to that seen in the Rotator II phase) nor the tilt magnitude has an observable discontinuity at this transition; only the tilt direction changes. As a result, the isotherm area/molecule is also continuous across the transition. 10 refs., 5 figs.
Effect of potato peel, pumpkin seed, and quinoa flours on sensory and chemical characteristics of gluten-free breads

Abstract Celiac disease is characterized by the body’s inability to digest gluten in the small intestine, and the dietary treatment consists of avoiding foods that contain this protein. Potato peel, pumpkin seeds, and quinoa are ingredients that can be used to produce gluten-free bread. The aim of this work was to evaluate chemical and sensory characteristics of gluten-free breads consisting of the idea to compare both made with traditional ingredients and with the addition of Potato Peel Flour (PPF), Pumpkin Seed Flour (PSF), and Quinoa Flour (QF). Sensory analysis of the prepared gluten-free breads and chemical analysis of the alternative flours were performed, as well as the formulations developed. The bread formulation with traditional flours and starches that obtained the highest acceptance in the sensory evaluation was used as a base to prepare three bread formulations, with 2.5%, 5.0%, and 7.5% of each alternative flours. Regarding the chemical analysis of the flours, carbohydrate concentrations of PPF and QF did not differ statistically. Lipid, protein, and ash levels in PSF were significantly higher than those in the other flours. Carbohydrate, ash, and lipid contents of the three formulations made with alternative flours showed no significant differences. The formulation with 5.0% of the alternative flours had higher sensory acceptance. The results showed that the alternative flours used are viable alternatives for the production of gluten-free breads, making it possible to improve the diet of part of the population with celiac disease by increasing the nutritional contents of minerals, lipids, and proteins.
Formation of Control Programs in the Structural Support of the Organization's Entrepreneurial Activity

Aim of the study: Information and evidence about the origin and application of controlling in practice has a long history, during which both the types and forms and methods of this type of economic activity have changed. At the initial stage of its development, controlling activity was considered, first of all, a separate, specifically defined type of management tool, the task of which was to carry out analytical assessments of completed processes. With the growing role of long-term planning and, especially, forecasting, and, accordingly, the need to expand the field for information support of long-term management decisions, this tool is gradually becoming a means of overcoming the information deficit not only of an operational but also of a predictive nature. Methodology: The very first main functions of controlling consisted in in-depth content of calculation construction and its analysis, and therefore its types, forms and methods were aimed at providing these functions. Rapid and dynamic changes in the environment and the need for more extensive information with its projections on expectations, which led to a shift and orientation of controlling to strategy, greater subordination to the goals of the enterprise. As for practice, it can be noted that the function of controlling activities in domestic enterprises is mainly associated with income, expenses and financial results in the future. In accordance with this, the most common methods of controlling activities are those that detail the composition and structure of expenses and revenues for individual objects, and establish the profitability of certain types of activities. Conclusion: In General, the types, forms and methods of controlling activities at various enterprises and in the context of specific economic conditions of their operation are considered differently. In many cases, the position is held that currently controlling can be defined as a system for managing the process of achieving final goals, mainly classifying it as a system for managing the financial result (profit) of an enterprise. At the same time, controlling methods find their expression in the totality of specific tools involved, which makes it possible to practically implement the goal of controlling in enterprises of a particular industry.
Formation and Property of Yttrium and Yttrium Silicide Films as Low Schottcky Barrier material for n-Type Silicon

As the candidate for the low Schottky barrier material for n-type silicon, physical and electrical properties of yttrium and its silicide were investigated. In order to prevent both Si surface and easily-oxidized low work function metals from being oxidized, N2 sealed cleaning and transfer system and capping layer on low work function metals were employed. Fabricated Al/Y/p-type silicon Schottky barrier diode showed an excellent n-value. The extracted Schottky barrier height for electrons of yttrium silicide is as low as 0.3 eV. This result can be applied to form low contact resistivity silicide/n-type silicon contact, and contribute to lower the parasitic source drain series resistance of metal–oxide–semiconductor devices.
Formation Control of Multi-Agent Systems With Orientation Noises

Orientation noises in sensors always spontaneously occur in the distributed process of information transmission or measurement, e.g., aperture radar, ultrasonic and laser sensors. This kind of noises may result in the unalignment of any pair of agents communicated with each other. In this paper, the formation control problem is investigated, where the orientation noises are modeled by some random sequences. To realize the specified formation shape, the considered problem is transformed into a convergence problem with respect to the orientation noises. The main idea of the method in this paper is to construct several convex polytopes to analyze this convergence problem, and design some martingale sequences to deal with the effect of orientation noises. Then, a sufficient criterion is derived to ensure the specified formation shape in mean square and almost surely (a.s.), respectively. Finally, a numerical example is given to illustrate the derived result.
Spoken notifications in smart environments using Croatian language

Speech technologies have advanced significantly in the last decade, mostly due to rise in available computing power combined with novel approaches to natural language processing. As a result, speech-enabled systems have become popular commercial products, successfully integrated with various environments. However, this can be stated for English and a few other ? big? languages. From the perspective of a minority language, such as Croatian, there are many challenges ahead to achieve comparable results. In this paper, we propose a model for natural language generation and speech synthesis in a smart environment using Croatian language. The model is evaluated on 27 users to estimate the quality of user experience. The evaluation goal was to determine what users perceive to be more important ? generated speech quality or grammatical correctness of the spoken content. It is shown that most users perceived grammatically correct spoken texts as being of the highest quality.
Histological changes in the uterus of rabbits after an administration of cadmium

Abstract The effects of cadmium on the uterus of rabbits were studied by light microscopy with morphometry. The experiment involved 32 animals. Cadmium was applied intraperitoneally (i.p.) to group A (1.5 mg/kg body weight), perorally (p.o.) to group B (1.0 mg/kg b.w.) for a 5‐month period, and also p.o. (1.0 mg/kg b.w.) for a 5‐month period of application followed by a 7‐month cessation of application for group C. All experimental groups were compared to a control group (K), as well as to other experimental groups. Animals were examined after the experimental period. In the uterus, the amount of endometrium was in the range of 48.42% to 50.37%, and that of myometrium of 51.58% to 49.63%. The percentage of glandular epithelium in the endometrium was significantly lower in group A in comparison with group C (P<0.05). Amount of stroma was significantly higher in the group receiving i.p., in comparison with the group receiving p.o. administration for a 5‐month period (P<0.01). From the photographed pictures .
EFFECT OF DIFFERENT CHEMICAL RIPENERS ON SUGARCANE (SACCHARUM OFFICINARUM L.) QUALITY, SUGAR YIELD AND RATOONING ABILITIES

Field experiments were conducted to evaluate the impact of various chemical ripeners (Ethephon, Glyphosate, Sulfometuron-methyl) on sugarcane cultivars (HSF-242, NSG-311, HSF-240, NSG-555). Each chemical ripener (200 ppm) was applied as a foliar spray 15, 30 and 45 days before cane harvesting for planted crops and ratoons were collected. Chemical ripeners significantly enhanced the quality and sugar yielding traits including harvest index, juice extraction and purity, sugar recovery % cane and total sugar yield for planted crop especially when treatment was applied 45 days before cane harvesting. Changes in antioxidant activities indicated the influence of various chemical ripeners on the planted crop. Chemical ripeners were imperative to create short-term changes for early cane maturity and sugar yielding abilities. Performance of ratooning crop was normal concerning growth, yield and antioxidant activities according to its existing genetic makeup showing non-significant effect of chemical ripeners. It was concluded that chemical ripeners can be suitable to boost up sugar yielding characteristics by inducing early cane maturity for a short duration before cane harvesting and it will have no effect on lateral life cycle span and its ratooning abilities.
Harmonization of technical demands to paint coatings as a component of competitiveness increase on the international market

The specific feature of modern Russian paintwork material (PWM) market is an import share rise along with foreign manufactures extensive expansion. Russian market range of PWM contents above 3000 items, considering both PWM being used in household and foreign products. Import products are 25-30% of Russian PWM market volume. High level of rivalry, marketing battle between foreign and domestic manufactures is common for it. Major PWM exporting countries in Russia are: German (14% of total amount), Finland (11%), Belarus (9,7%), Estonian (9%), USA(8,9%), Korea (7,5%), Lithuania (7%). According to «Symbol Marketing» agency data, Tikkurila (Finland), AkzoNobel (Sweden), Meffest AG (German), PPG-Helios (Italy-Slovenia), BASF (German), Jobi (German), Teknos (Finland), Marshall (Turkey), DuPont (USA) lead among the manufacturing companies exporting their PWM in Russia. The main domestic PWM competitiveness rise condition is establishment of common quality, endurance, ecological safety and evaluating methods standards accepted as in Russia so in other countries. This scientific research made for PWM manufacturers and consumers solves International Organization for Standardization (ISO) and Russian National Standart (GOST) interaction problem in order to standardize Russian PWM output and increase its competitiveness at the international market.
Suicidality and other severe psychiatric events with duloxetine: Re-analysis of safety data from a placebo-controlled trial for juvenile fibromyalgia.

BACKGROUND In antidepressant trials for pediatric patients with depression or anxiety disorders, the risk of suicidal events and other severe psychiatric adverse events such as aggression and agitation is increased with antidepressants relative to placebo. OBJECTIVE To examine whether largely mentally healthy adolescents treated for a non-psychiatric condition are also at increased risk of suicidality and other severe psychiatric disorders. METHODS This is a re-analysis of a placebo-controlled duloxetine trial for juvenile fibromyalgia based on the main journal article and additional data published in the online supplementary material and on ClinicalTrials.gov. Both serious adverse events related to psychiatric disorders and adverse events leading to treatment discontinuation were defined as severe treatment-emergent psychiatric adverse events. RESULTS We found that a significant portion of adolescents had treatment-emergent suicidal ideation and behaviour as well as other severe psychiatric adverse events with duloxetine, but no such events were recorded on placebo. The incidence of severe treatment-emergent psychiatric adverse events was statistically significantly higher with duloxetine as compared to placebo. CONCLUSIONS Antidepressants may put adolescents at risk of suicidality and other severe psychiatric disorders even when the treatment indication is not depression or anxiety.
Partial Crystallization Behavior during Spray Drying: Simulations and Experiments

Simulations of crystallization behavior in a spray dryer have been performed using modifications to a model developed by previous workers and applied to a Buchi-290 laboratory-scale dryer. The potential crystallization behavior has been modeled using Williams-Landel-Ferry kinetics. Explorations using the model have suggested that the air inlet temperature is an important variable affecting crystallization in the dryer. The explorations suggested drying conditions that permitted reasonable drying while controlling the degree of crystallization. These conditions were examined and tested experimentally, also showing that the apparent degree of crystallinity was affected by the inlet air temperature over the range of inlet temperatures from 134°C (∼55% crystalline) to 210°C (∼76% crystalline). The simulation also predicted the trends in the experimental results from previous workers where their experimental results are considered in terms of the measurement techniques used in each case, suggesting that the simulation is a reasonable tool for developing operating conditions for drying equipment to give low or high degrees of crystallinity in the products.
A Probability-Based Short-Term Velocity Prediction Method for Energy-Efficient Cruise Control

Numerous automotive control systems depend on the prediction of the velocity of the controlled vehicle or other road users in close proximity. A forecast is indispensable for the design and operation of model predictive control strategies which are utilized for example in order to optimize fuel economy in cruise control systems. In this article, a novel velocity time series prediction method, which depends exclusively on past velocity measurements, is presented and analyzed. It is based on conditional probabilities of acceleration and deceleration, which are estimated from real driving data. The proposed velocity prediction is used in a new model predictive control algorithm for an adaptive cruise control system for heavy duty vehicles, where the predicted future velocity of a preceding vehicle is needed, as well as its probability distribution. Simulation results show that an accurate velocity prediction is crucial for achieving energy-efficiency goals.
Optimizing Resource Allocation for Joint AI Model Training and Task Inference in Edge Intelligence Systems

This letter considers an edge intelligence system where multiple end users (EUs) collaboratively train an artificial intelligence (AI) model under the coordination of an edge server (ES) and the ES in return assists the AI inference task computation of EUs. Aiming at minimizing the energy consumption and execution latency of the EUs, we jointly consider the model training and task inference processes to optimize the local CPU frequency and task splitting ratio (i.e., the portion of task executed at the ES) of each EU, and the system bandwidth allocation. In particular, each task splitting ratio is correlated to a binary decision that represents whether downloading the trained AI model for local task inference. The problem is formulated as a hard mixed integer non-linear programming (MINLP). To tackle the combinatorial binary decisions, we propose a decomposition-oriented method by leveraging the ADMM (alternating direction method of multipliers) technique, whereby the primal MINLP problem is decomposed into multiple parallel sub-problems that can be efficiently handled. The proposed method enjoys linear complexity with the network size and simulation results show that it achieves near-optimal performance (less than 3.18% optimality gap), which significantly outperforms the considered benchmark algorithms.
Analysis of Traffic Performance on Network Slicing Using Complex Network Theory

In order to provide various customized services, network slicing as a key technology for fifth-generation mobile networks enables wireless infrastructure to be sliced into multiple isolated logical networks. Thanks to the softwarization and virtualization, slices which often in competition for physical resources are realized in standardized servers. Despite the advances in the realization of network slicing, analyzing the impact of resource allocation on the traffic performance of slices still faces some challeges. In this paper, a multilayer complex network model is introduced to catch the results of resource allocation and slice deployment. This model facilitates real-time resource monitoring and topology information updating for infrastructure network providers. With this model, we investigate the impact of changing resource allocation parameters by modelling the traffic data which are transmitted within the slices. To avoid the traffic congestion caused by the resource competition, the traffic performance of slices is analyzed. The analysis results enable us to propose two cost-effective control strategies which are increasing the capacity of hub nodes and enlarging the scale of the infrastructure network by adding more servers. These strategies aim to suppress the congestion while guaranteeing the traffic performance of slices. Simulation results demonstrated the effectiveness of the proposed strategies.