Miracle-dz/UniFAR-FTUs huggingface dataset:
A bio-inspired soft planar actuator capable of broadening its working area

Soft actuators are an integral part of many soft robots that make them compliant and adaptable. In many previous studies, soft pneumatic actuators were designed and utilized generally to create bending motions. Due to the limited capabilities becomes ineffective where axial elongation is required. Here, we introduce a planar bioinspired soft pneumatic actuator capable of increasing its working area through both longitudinal elongation and bending motions, separately and or simultaneously. The actuator consists of two similar linear soft pneumatic actuators with agap between them. To study the performance of the planar actuator, four normalized sizes of gaps were considered between the linear actuators, analyzed through FEM, and validated by conducting experimental tests. On average, experimental results on the planar actuator demonstrate that the working area is 2.40 times bigger than the working area that just resulted from the bending motion. The results also indicate that the actuator can attain stability under 0.8 s, create a blocked force up to 18 N, and a bending angle up to 240° at the pressure 3.0Bars. Broadening the working area can be an outstanding feature that enables soft robots to be versatile and advantageous in many more applications in real and unstructured environments.
Research on electrode lifting system based on recursive least square method and fuzzy PID

The electrode of calcium carbide furnace bears the function of conduction, heat transfer and furnace condition regulation. How to keep the furnace condition in the best condition by lifting and lowering the electrode has always been a hot and difficult point in the research. In this paper, based on the analysis of the equivalent circuit of calcium carbide furnace, the system model of electrode position-current is identified by the recursive least square method, and a fuzzy PID controller based on the constant control strategy of electrode current is designed to keep the furnace condition in the best state. The simulation and application results show that the designed system has good dynamic response, anti-disturbance ability and robustness.
Topology Identification Method of Urban Power Grid Based on 5G Communication

With the development of 5G communication technology and intelligent terminal technology of urban power grid, intelligent distributed control mode independent of master station will become the trend of intelligent distribution network in the future. The characteristics of flexible configuration and strong scalability make 5G communication technology provide a wireless solution, which greatly gets rid of the constraints of communication cables and promotes the popularization and application of intelligent distributed control technology. Based on 5G communication technology, this paper proposes a distributed topology identification method. In this solution, each Smart Terminal Unit (STU) only needs to configure its associated static network topology information, and each STU forms dynamic network topology information according to certain topology identification rules. The purpose of identifying topological information is to use the information to provide topological information support for advanced functions of the distribution network, such as reclosing, identification of distributed power islands, and restoration of non-faulty section power supply.
Room-temperature tunnel magnetoresistance across biomolecular tunnel junctions based on ferritin

We report exceptionally large tunnel magnetoresistance (TMR) for biomolecular tunnel junctions based on ferritins immobilized between Ni and EGaIn electrodes. Ferritin stores iron in the form of ferrihydrite nanoparticles (NPs) and fulfills the following roles: (a) it dictates the tunnel barrier, (b) it magnetically decouples the NPs from the ferromagnetic (FM) electrode, (c) it stabilizes the NPs, and (d) it acts as a spin filter reducing the complexity of the tunnel junctions since only one FM electrode is required. The mechanism of charge transport is long-range tunneling which results in TMR of 60 ± 10% at 200 K and 25 ± 5% at room temperature. We propose a magnon-assisted transmission to explain the substantially larger TMR switching fields (up to 1 Tesla) than the characteristic coercive fields (a few Gauss) of ferritin ferrihydrite particles at T < 20 K. These results highlight the genuine potential of biomolecular tunnel junctions in designing functional nanoscale spintronic devices.
Bioseparation and Purification of Hepatotoxins Microcystin–LR from Cyanobacteria species Westiellopsis prolifica.

The presents study included bioseparation and purification of hepatotoxins microcystin-LR from cyanobacteria species westeillopsis prolifica the concentration of toxin was determined by preparative high performance liquid chromatography by comparing peak area and retention time of analytical standard of microcystin-LR with peak area and retention time of extraction of each species of cyanobacteria, the retention time of analytical standard of microcystin-LR were 9.55 min and it’s concentration was 10µg/ml, W. prolifica retention time was 9.5 min, it’s concentration was 28.385 µg/ml.
Breath-holding - A Strategy in Enhancing Drug Delivery to the Lungs: A Review

After inhalation of pharmaceutical aerosols, holding of breath prior to exhalation is one of the simpler inhaler techniques when using pressurized metered-dose inhalers and dry powder inhalers. Many benefits are offered by breath holding in enhancing particle deposition, drug efficacy, reducing deposition of particles in the undesired sites and masking of hotspots. Many of the patients are not aware why this procedure is recommended by medical professionals and thus fail to get these benefits. If the breath hold step is successfully addressed, pulmonary drug delivery to the lungs will be more successful. This review addresses computer simulation studies, in particular computational fluid dynamics studies, on the influence of breath-hold in deposition patterns and behaviour of drug particles in the respiratory tract of humans. Along with the studies on breath holding reviewed here, we also briefly discuss the particle phase modelling tools like the discrete element method and discrete phase method.
Multi-target detection method based on YOLOv4 convolutional neural network

In order to solve the problems of low detection accuracy, false detection and high miss detection rate of small targets in target detection tasks, this paper is a multi-target detection method based on YOLOv4 convolutional neural network. The proposed method is based on YOLOv4. The semantic information of high-level features is first propagated to the low-level network through FPN sampling, and then it is fused with the high-resolution information of the underlying features to improve the detection effect of small target detection objects. The information transmission path from the bottom to the top is enhanced by downsampling the feature pyramid, and finally the feature maps of different layers are fused to achieve relevant predictions. Experiments prove that the method proposed in this paper has good results.
Lip Reading using Local-Adjacent Feature Extractor and Multi-Level Feature Fusion

Lip reading is a widely used technology, which aims to infer text content from visual information. To represent lip information more efficiently and reduce the network parameters, most networks will first extract features from lip images and then classify the features. In recent studies, most researchers adopt convolutional networks to extract information from pixels which contain a lot of useless information, limiting the improvement of model accuracy. In this paper, we designed a graph structures and a lip segmentation network to effectively represent changes in the shape of the lips in adjacent frames and the ROI in local frame and propose two feature extractors, named U-net-based local feature extractor and graph-based adjacent feature extractor. We proposed a very challenging dataset to simulate extreme environments, including highly variable face properties, light intensity and so on. Finally, we designed several different levels of feature fusion methods. The experimental results on the proposed challenging dataset show that the model can effectively extract the useful information from content irrelevant information very well. The accuracy of our proposed model is 9.1% higher than that of baseline. This result shows that our proposed model can better adapt to the application of the wild environment.
Assessment of indoor air suspended particulate matter in GLA University campus, Mathura

Indoor air quality represents the quality of air inside room. It affects the health and comfort of the residents. Hence it is very essential to measure the quality of air inside buildings and rooms. In this study, air quality of computer lab of GLA University has been assessed. Particulate matter (PM) is a common air pollutant, including of solid and liquid particles suspended in the air. Normally used indicators PM that are related to human well-being refer to the concentration of particles with a thickness of less than 10 μm. Therefore, for assessment of indoor air quality PM10, PM2.5 and PM1 has been monitored for one week. All observed diurnal data-sets have been represented by box plot. This research is very useful for policymakers of GLA University. Based on indoor air quality, classrooms and laboratories can be designed for good health of students
Uranium(IV) Solubility and Hydrolysis Constants Under Reduced Conditions

The solubility of UO{sub 2}(S) was examined in dilute NaCl solutions at room temperature and in the ph range from 2 to 12. Dissolution equilibrium showed good agreements between the data obtained by oversaturation and undersaturation experiments. The dissolution reactions that control the solubility of U[IV] are estimated as UO{sub 2} (s) + 4H{sup +} + 2H{sub 2}O and UO{sub 2} (s) + 2H{sub 2}O {yields} U(OH){sub 4}{sup 0}. The log K at zero ionic strength are yielded 0.34 {+-} 0.4 and {minus}8.7 {+-} 0.4, respectively. The hydrolysis constant (log {beta}{sub 14}) is calculated {minus}9.0 {+-} 0.5 for the hydrolysis reaction of U{sup 4+} + 4H{sub 2}O {yields} U(OH){sub 4}{sup 0} + 4H{sup +}. Contribution of the other uranium species to the solubility are of minor importance. The crystallization of the precipitations of UO{sub 2}(s) progressed gradually in the oversaturation experiments. Nevertheless the progress of crystallization had little effect on the solubility.
Research on Temperature Change of Reflow Furnace Based On Mathematical Modeling

After referring to many documents, this article comprehensively considers various heat transfer methods, analyzes the heat transfer process of welded components, and establishes a temperature field distribution model based on one-dimensional transient heat transfer equation by ignoring some irrelevant conditions, and useing the finite difference method. We solve it and apply it to the optimization of furnace temperature curve. Due to the many types of reflow furnaces, this article mainly considers hot-air reflow furnaces. The heating methods are mainly heat convection and heat conduction, ignoring heat radiation. The welding area is established by the transient heat transfer equation. The temperature field distribution model is established, and the initial conditions and thermal boundary conditions are determined. Related heat transfer analysis is done for the front area, back area and gap areas. Finally, through the experimental data and the idea of least squares, the parameters of the electronic devices used in this experiment are obtained, and it also provides an idea to check whether the relevant parameters of the experimental materials are accurate. In order to make it easier for the staff to operate, this article proposes a method to find the maximum speed of conveyor belt, which has great practical significance.
Fabrication of natural polysaccharide based hydrogel with utility to entrap pollutants

In the recent years of innovations hydrogels plays important role in various industrial applications. Hydrogels with combination of natural polymers are widely used for its biocompatibility and ecofriendly nature such as pectin and carboxymethyl cellulose (CMC). Plasticizers are utilized to enrich the physicochemical characteristics of hydrogels based on natural polymers. Polyethylene glycol 400 (PEG 400) is known to render thermostability. Whereas copper ions has wound healing properties and acts as biocide. These hydrogels due to its high porosity can have various utility to entrap small particles such as dust, pathogens and other pollutants and can act as very good face mask. Therefore the fabricated hydrogel is not only thermostable but also have high cytocompatibility, pH sensitivity, porosity and degree of swelling.
Calculation of Real Evapotranspiration by the Application of Metric Method on Landsat-8 Data

In geological remote sensing approaches for estimating evapotranspiration, METRIC method is among the most modern and precise approaches that many positive experiments have been reported regarding its applicability. In this study, the value of actual evapotranspiration (ET) occurred in Marvdasht farmlands, Fars province, Iran, was calculated instantaneously (hourly) and daily (24 hours), at 24 April 2017 using METRIC method and Lansat-8 data. In order to accuracy assessment of the results, estimated values were compared to the values calculated with Penman Monteith method in places that covers by alfafa crop. Our observations showed that ET values obtained via METRIC model on average, have 0.51mm difference in estimations, comparing to the Penman Manteith method.
A comparative Analysis of PV Cell Mathematical Model

Several methods are currently used to calculate the values of voltage, current, and power of a solar cell. A new method is suggested to numerically find these values using the popular methods Newton Raphson method (NRM) and the three-step method (TSM) at different values of load resistance R. Equation based on the equivalent circuit of a solar cell, so all calculations is performed in a MATLAB at room temperature. The obtained results of this new method were presented and compared with NRM. Additionally, a single diode model of a solar cell was demonstrated.
Design of Three-stage Cascaded Two-Stage Millar Compensated OTA for Wearable ECG Sensor Technologies

The use of wearable sensors to monitor vital signs is an alternative to conventional medical systems in hospitals. Patients with wearable sensors can move freely while under continuous monitoring that can stably receive ECG signals, thereby improve the quality of patient care. In this work, a wearable ECG sensor is proposed. The sensor uses a Three-stage Cascaded Operational Transconductance Amplifier (OTA) as an instrument to amplify the ECG signal. The amplifier uses a Two-stage Millar Compensated amplifier integrated with N-Metal-Oxide-Semiconductor and positive-channel-Metal-Oxide-Semiconductor. The simulation results get a CMRR of 66.84 and 3. 967μVrms noise and 0. 039μW power and 0.981 Noise Efficiency Factor. Compared with the conventional ECG monitoring system, the entire design is smaller in size, and has low power consumption and low noise. It is observed that one can receive ECG signals stably at all times during the experiment. Also, the collected ECG signal is comparable to the ECG signal obtained using conventional adhesive electrodes.
Tumor Type Prediction based on Residual Attention Model

Early detection of tumors is an important part of cancer treatment. In view of the existing algorithms: single data types, low feature extraction efficiency, and low classification network accuracy. A tumor types prediction model based on deep learning is proposed. The network model uses a Variational auto-encoder (VAE) to fuse the RNA expression and DNA methylation data of 32 tumor types, then uses the Hilbert curve to visualize it. Finally fuse data is sent to classification module: embed the attention module in the backbone network ResNet18 framework, convolutional layer instead of fully connected layer. The new sample is used to predict the tumor type. The experimental results show that this network model has excellent performance in tumor type classification and has important guiding significance for the early diagnosis of tumor patients.
A Skewness Fitting Model for Noise Level Estimation and the Applications in Image Denoising

In this paper, a novel noise level estimation technique is presented based on skewness fitting. The difference between exact skewness and observed value on each channel contributes to an objective function. The skewness concentration is helpful to guarantee the reasonability of the model. The optimal solution means an estimation of the noise variance and it is easy to be applied in some parametric denoising model. The accuracy and efficiency of proposed algorithm were verified by the numerical experiments.
Leaky wave antenna for millimeter wave utilization

The simulation of planar periodic leaky-wave antenna for ultra-wideband application is introduced here. The antenna proposed here comprises 15 matched unit cells with high directivity which provides a backward to forward beam scanning range of 80° with frequency from 24.4GHz to 27.5GHz and has filtering capability making the design simpler. The calculated efficiency is 90% which is the gain to the directivity ratio of the designed antenna. The bandwidth range is between 24.4 GHz to 27.5GHz. The work is outlined and assembled on Roger’s substrate (particularly good for 5G applications) and has a gain of 13.92dB which represents an excellent choice for communication systems.
Image recognition and blind-guiding algorithm based on improved YOLOv3

YOLOv3, a target detection algorithm based on deep learning, is widely applied in object recognition, especially in guiding the blind. The existing products of assisting the blind based on YOLOv3 can already achieve high-precision, high-real-time object recognition. But YOLOv3 also has many limitations, such as the inability to measure distances or it’s hard to recognize objects correctly in fog or haze. For these deficiencies, this paper proposes a road barrier monitoring method based on improved YOLOv3, using an image downsampling algorithm based on the dark channel to defog the image, and then with the binocular distance measurement algorithm to calculate the obstacles from the distance of the camera according to the width and height of the obstacles. The experimental results show that the improved product retains the advantages of high accuracy and fast recognition speed of YOLOv3. At the same time, it also owns the new functions of obstacle ranging and bad weather identification. The improved algorithm can meet the requirements of portability, real-time, and practicality of guide products.
Technique for classifying the social network profiles according to the psychological scales based on machine learning methods

A technique for classifying the social network users and groups by psychological scales of the Ammon’s test has been developed. To analyze user profiles, we have used several types of artificial neural networks (support vector machine, linear regression, multilayer neural network and convolutional neural network), and for group analysis, we applied text classifiers (bag of words, weighted bag of words, continuous bag of words, skip-gram and fastText classifier). The scope of the technique is identifying deviations in the psychological state of users of social networks and monitoring these changes considering users’ groups to detect destructive influences. An experiment was carried out, as a result of which it was found that a multilayer neural network with an activation function of the ReLU type has the best accuracy.
Virtual assistant constructing method for metrological measurements

The article considers a dialog service which performs a bot assistant functions for recording metrological measurements results. The project conducted research of one of the modern approach to developing chatbot — rule-based chatbot. The main approach’s features were considered and compared with analogous bot assistant in that article. The aim of the research is development of the dialog service model to ease and accelerate metrological measurements. As a result, the article proposed recommendations for developing a dialog system which performs a bot assistant with functions of performing and recording metrological measurements results typed by the user to the chat or using a voice assistant.
The Inner Solar System Chronology (ISOCHRON) Lunar Sample Return Mission Concept: Revealing Two Billion Years of History

We present the Inner SOlar System CHRONology (ISOCHRON) concept to return samples of the youngest extensive mare basalt for age-dating and geochemical analysis. The young basalt is exposed at a site southwest of Aristarchus Plateau, for which complete remote-sensing data are available for thorough landing site analysis. Data from these samples would revolutionize the ability to assign exposure ages to rocky planetary surfaces based on the samples returned by Apollo and Luna. Their petrology and geochemistry will enable assessment of the most recent voluminous lunar magmatism. Regolith evolution and mixing models such as ballistic sedimentation would be directly testable to provide crucial ground truth that would enhance the science value of current and future remotely sensed data sets. ISOCHRON’s science goals support NASA’s Artemis program to return to the Moon and its related robotic programs currently in planning.
Technology review of the biological aerated filter systems BAFs for removal of the nitrogen in wastewater

The removal of nitrogen compounds in wastewater is receiving wide attention and the effluent standards will be tougher in the near future. The overall aim of this article is a review of biological aerated filter systems BAFs for removal of the nitrogen in wastewater. The BAFs technology is based on the principle of biofiltration where can be operated either in an upflow or downflow mode depending upon the position of the influent feed, where the media which attached growth zone can be either denser than water to give sunken media or less dense than water to produce floating media. The BAFs combines biological treatment and ammonia-nitrogen and solids removal in one reactor unit, where accumulated solids are removed from the BAFs through backwashing.
Features of the implementation of artificial intelligence and digital technologies in industrial production: promising directions and modern trends in automation

The article discusses the problems of optimizing the work of modern industrial production, promising areas of automation, the industrial Internet of things. The author’s principle of optimizing the operation of automated systems through a number of promising technologies is described: a model of an improved abstract executor and distributed computing, modern machine learning tools. The application of information security methods in ensuring the search for the optimal connection between objects and subjects of an automated control system is given. The economic and technological significance and role of the potential described and considered implementations are formalized.