Miracle-dz/UniFAR-FTUs huggingface dataset:
Raman spectroscopy-based label-free cell identification using wavelet transform and support vector machine

Wavelet transform is a powerful mathematical tool for signal processing. Its high capabilities including signal decomposition, compressing and de-noising make it useful for numerous applications, especially for processing weak signals such as in Raman spectra. Raman spectroscopy is a highly accurate and non-destructive method to identify materials, so it can be an appropriate mechanism for the analysis of circulating tumor cells (CTCs). In this paper we present a method comprising of Raman spectroscopy and wavelet transform to distinguish between different types of leukocytes and CTCs derived from breast cancer (MCF7). All types of leukocytes are isolated from the peripheral blood of healthy donors while CTCs are provided from cell cultures. All of the cells are dried on quartz discs. Raman spectra are collected from cells that are excited with a 785 nm laser. Wavelet transform is used for signal pre-processing such as background correction and signal de-noising. Then a discrete wavelet transform is used as a feature extraction tool. At the end of the process, support vector machine (SVM) is used to classify the spectra into two groups including leukocytes and CTCs. Distinguishing between the cells is achieved with an accuracy of more than 98.99%.
Spatiotemporal Reflectance Fusion Using a Generative Adversarial Network

The spatiotemporal reflectance fusion method is used to blend high-temporal and low-spatial resolution images with their low-temporal and high-spatial resolution counterparts that were previously acquired by various satellite sensors. Recently, a wide variety of learning-based solutions have been developed, but challenges remain. These solutions usually require two sets of data acquired before and after the prediction time, making them unsuitable for near-real-time predicting. The solutions are always trained band by band and thus do not consider the spectral correlation. High-resolution temporal changes are difficult to reconstruct accurately with the network structure used, which lowers the accuracy of the fusion result. To address these problems, this study proposes a novel spatiotemporal adaptive reflectance fusion model using a generative adversarial network (GASTFN). In GASTFN, an end-to-end network, including a generative and discriminative network, is simultaneously trained for all spectral bands. The proposed model can be applied to the one-pair case, consider the spectral correlation of each band, and improve the process of producing super-resolution imagery by adopting the discriminative network for image reflectance values rather than temporal changes in reflectance. The proposed model has been verified with two actual satellite data sets acquired in heterogeneous landscapes and areas with abrupt changes, with a comparison of the state-of-art methods. The results show that GASTFN can generate the most accurate fusion images with more detailed textures, more realistic spatial shapes, and higher accuracy, demonstrating that the GASTFN is effective for predicting near-real-time changes in image reflectance and preserves the most valuable spatial information.
Delay Robustness of PID Control of Second-Order Systems: Pseudoconcavity, Exact Delay Margin, and Performance Tradeoff

In this article, we study delay robustness of PID controllers in stabilizing systems containing uncertain delays. We consider second-order systems and seek analytical characterization and exact computation of the PID delay margin, where by PID delay margin we mean the maximal range of delay values within which the system can be robustly stabilized by a PID controller. Our primary contribution is threefold. First, we show that the delay margin achieved by PID control coincides with that by PD controllers. Second, we show that the PID delay margin can be computed efficiently by solving a pseudoconcave unimodal problem, i.e., a univariate optimization problem that admits a unique maximum and, hence, is a convex optimization problem in one variable. Finally, we demonstrate analytically the tradeoff between achieving delay margin and tracking performance, showing that for several canonical performance criteria, integral control reduces the delay margin. These results lend useful insights into the PID control of delay systems, and useful guidelines in the tuning and analytical design of PID controllers.
Virtdev: Towards Providing Edge Services

With the increase in the number of Internet of Things (IoT) devices, more resources can locate at the edge of the Internet. These devices not only collect data about the environment but also affect the environment after certain computations. Conventionally, an IoT application that processes the data provided by devices located in different places, often requires a hierarchical architecture that allows for the data processing and the data collection to occur in different layers. This can be complex for applications requiring direct access to the data provided by remote devices, especially when the data must be exchanged among devices utilizing various machine-to-machine protocols. In this article, an edge service-based architecture is proposed to facilitate the construction of IoT applications. By abstracting the heterogeneous components as virtual devices, it is also possible to construct an IoT application only according to the combination of the virtual devices. The evaluation of the tasks formed by the virtual device shows that it can be efficient to adopt this abstraction method for the utilization of the heterogeneous resources for edge computing.
Particle Impact Energy Variation with the Size and Number of Particles in a Planetary Ball Mill

To investigate the mechanical energy applying to the particles in a grinding process using a planetary ball mill, the impact energy of particles was estimated by simulating the behavior of the particles and grinding balls using the discrete element method (DEM) under different conditions of the size and number of particles, corresponding to their variations during milling. As the impact energy contributing to the particle breakage, we focused on the particle impact energy generated at particle-to-grinding ball/wall and particle-to-particle collisions. The particle size and the number of particles affected the level of particle impact energy at a single collision and the number of collisions of particles, respectively, resulting in an increase of the total impact energy of particles with decreasing particle size and increasing number of particles. The result suggests that milling conditions such as the size of grinding balls should be adjusted appropriately based on the variation of the size and number of particles so that the particles can receive large amounts of the impact energy during milling.
Enhancing the supercapacitor performance of NiCo2O4 microflowers by reduced graphene oxide nano-sheets

This work presented the preparation and supercapacitor performance of a spinel nickel-cobalt oxide (NiCo2O4) microflowers mixed with nano-sized reduced graphene oxide (rGO) sheets. The hybrid material (NiCo2O4/rGO), pure NiCo2O4 and nano-sized rGO samples were characterized and confirmed by several techniques, such as XRD, SEM and EDS. The supercapacitive properties of all prepared samples were also studied using an electrochemical measurement technique (CV and GCD). The results revealed that the NiCo2O4/rGO (484.1 F.g−1) hybrid electrode exhibited much higher specific capacitance than those of pristine NiCo2O4 (358.3 F.g−1) and nano-sized rGO (113.8 F.g−1) electrodes, respectively. Hence, this work indicates that the supercapacitor performance of NiCo2O4 mixed rGO hybrid materials is more superior to the pure NiCo2O4 microflowers and nano-sized rGO sheets.
Assessment of the Role of NOGO Gene Block in Enhancing the Neuro-regenerative Effect of Mesenchymal Stem Cells.

Background: Amyotrophic Lateral Sclerosis (ALS) is a fatal disease. Mesenchymal stem cells (MSCs) have a therapeutic potential in neuronal diseases, factors as NOGO-A limit axonal regeneration. In this study, gene silencing was used to suppress Nogo-A expression in MSCs to enhance its neuro-regenerative role. Methods: mouse models of motor neuron degeneration were created, effect of non-modified and plasmid transfected MSCs were studied clinically and histologically. Group 1 received no treatment. Group 2 received IV injection of non modified MSCs and sacrificed after 8 days (subgroup 2a) and 15 days (subgroup 2b) following treatment, Group 3 received IV injection of transfected MSCs and were sacrificed after 8 days (subgroup 3a) and 15 days (subgroup 3b) following treatment. Results: A significant increase in weight and motor scores of subgroups 2a & 2b occurred in comparison to subgroups1a & 1b respectively (p values <0.001, <0.001, 0.001 & 0.026 respectively), GAP43 expression in group 2 mice was significantly higher compared to group 1 mice (p value <0.001). Deformed neurons and glial cells in group 2 were significantly lower compared to group 1 mice (p value <0.001). Deformed neurons and glial cells in subgroup 2b were significantly less in comparison to subgroup 2a (p values = 0.002 and 0.03) indicating an improvement with time. GAP43 in subgroup 2b was significantly higher compared to subgroup 2a (p value = 0.030). Weight and motor power in group 3 mice was significantly higher when compared to group 1 on days; 14 and 21 (p values <0.001, <0.001, <0.001 and 0.008) respectively. Deformed neurons and glial cells in group 3 mice were significantly lower when compared to group 1 mice (p values <0.001). GAP43 expression in group 3 mice was significantly higher when compared to group1 (p value <0.001). Deformed neurons in subgroup 3b was significantly less than subgroup 3a (p value <0.001). GAP43 expression in group 3 mice was significantly increased when compared to group 2 mice (p value <0.001). Conclusion: NOGO-A gene SiRNA is a potential enhancer of the neuro-regenerative action of MSCs.
Designing an Online Appointment System for Semiliterate Users

Information and Communications Technology (ICT) has revolutionized the healthcare leading to provision of eHealth facilities remotely During the peak time of COVID-19, as the long queues at health care facilities can result in spread of the virus ICT can play an effective role especially for reducing the extended waiting time of patients to consult a medical practitioner which is considered as a source of hazard during the pandemic However, in developing countries where majority population is semiliterate so find difficulty when come into contact with appointment systems which are not particularly designed keeping in consideration the requirements of semiliterate users It is extremely important to better understand how to design user interface which allow semiliterate users to effectively perform the tasks So there is a dire need to develop a simple, effective, easy to learn user interface (UI) of an online appointment system for the productive doctor-patient consultation Therefore, this study aimed to providing an effective user interface of web based online appointment system to semi-literate users through User-Centered Design (UCD) methodology To achieve this, a prototype was designed to overcome issues in the existing appointment systems gathered through a field study The needs and expectation for semiliterate users were fulfilled by incorporating the requirements of UI development for the target users A sample of forty-two semiliterate users was used to evaluate the prototype The evaluation results showed that semiliterate users’ performance measured using— effectiveness, efficiency and satisfaction significantly improved while interacting with the prototype as compared to existing interfaces The effectiveness is measured through number of errors and tasks accomplished in UI, efficiency by the time required to complete the task and satisfaction by System Usability Scale (SUS) The SUS score improved from 50 8 to 77 6 for the prototype © 2021, Tech Science Press All rights reserved
Investigations into Foot and Mouth Disease Outbreak among Small Ruminants in Karnataka State of India

Background: Foot-and-Mouth Disease (FMD) remains a serious threat to the Indian livestock sector due to significant economic loss associated with it. Systematic vaccination of large ruminants over the years has lead to a gradual reduction in the number of disease outbreaks in India. However exposure to FMDV infection in small ruminants has been recorded during the past few years (Rout et al. 2013). Sheep and goat population have not been vaccinated so far against FMD under the FMD-Control program (FMD-CP). The present study highlighted the outbreak of FMD in small ruminants in Karnataka, India.Methods: During the period 2018-19, seven suspected FMD outbreaks among sheep population in Bellary and Tumakuru districts of Karnataka state were investigated. Tongue epithelium (oral swabs) and foot lesions (n=23) from clinically affected sheep and tissues such as heart, lung, liver, spleen, lymph nodes and kidneys from lambs during post mortem (n=67) were collected. All the samples were processed in the laboratory for the detection of FMD virus antigen by employing Serotype differentiating antigen detection ELISA and by multiplex PCR. Heart tissue samples were also collected in buffered formalin for histopathology study and processed by routine paraffin embedding technique and stained with Hematoxylin and Eosin (H and E). Serum samples from the recovered animals were collected and screened by NSP-ELISA and LPB-ELISA to check the antibody status in the affected herd. Result: A total of seven suspected outbreaks of FMD involving 688 small ruminants was investigated. The outbreak of FMD due to FMDV serotype O was confirmed by ELISA and multiplex PCR assays. Clinically, the affected adult sheep showed typical signs of FMD, while mortality in young lambs was observed without apparent signs of disease. Histologically, heart tissues from FMD affected lambs showed myocardial necrosis with marked aggregations of lymphocytes and neutrophils in the myocardium and perivascular spaces. History of FMD outbreaks in cattle and common grazing land for the livestock, as well as sheep within the reach of these villages, may be the major contributing factors for the outbreaks in sheep populations.
Energy-Efficient Frame Aggregation Scheme in IoT Over Fiber-Wireless Networks

With the tremendous growth of traffic demand caused by the conventional service and emerging Internet-of-Things (IoT) applications, it is vitally challenging to support seamlessly access for billions of IoT devices along with existing Internet service. Fiber-Wireless (FiWi) access networks is an ideal solution for the next-generation access networks to support both IoT and conventional service. One of the main challenges faced by the design of an FiWi access network is the high energy consumption due to low utilization of optical network units (ONUs) and high control overhead of data transmission. In this article, An adaptive frame aggregation scheme with load transfer is proposed to reduce the energy consumption in FiWi. By evaluating the quality of wireless channel, the proposed scheme adaptively adjusts the length of the aggregated frame to reduce the energy consumption caused by the frequent preemption of wireless channel and the numerous retransmission of data frames resulted by poor channel quality. In the optical backhaul, according to the delay requirements of services with different priorities, the proposed scheme calculates the optimal frame length for each queue and performs load transfer among ONUs to dynamically distribute network load and maximize the sleep rate of ONUs for energy saving. Simulation results and theoretical analysis both unanimously show that the proposed scheme achieves significant amounts of energy saving, while preserving delay performance of various services.
In-situ Production and Collection of Bacterial Cellulose on Jute and Flax Mats by Static Cultivation

ABSTRACT In this study, jute and flax mats were used as a support material to deposit bacterial cellulose (BC) on its surface produced by Gluconacetobacter liquefaciens (MTCC 3135) through fermentation process under static condition. Amount of BC produced during the study indicates that type of mats as support material affects the production of BC at the air-liquid interface. About 2.45 g/l and 1.85 g/l of BC was produced in presence of jute and flax mats as support, respectively. Neat BC obtained under static cultivation was found to be brittle in nature. In order to prevent brittleness in BC, mat hanging method has been proposed to deposit BC directly on the surface of the mat. FTIR peaks obtained at 3337 and 3350 cm−1 as well as at 1647 and 1654 cm−1 indicated the presence of cellulose in form of BC on both the mats. Microscopic observation, water uptake behavior and antibacterial studies of neat mats, unadhered BC and BC deposited on mats were also carried out and the results were compared. The proposed in-situ method of collecting BC on the cellulosic mats will help in fabrication of biocomposite sheets that can be further explored in packaging, medical and biomedical applications.
New Textile for Personal Protective Equipment—Plasma Chitosan/Silver Nanoparticles Nylon Fabric

Fabric structures are prone to contamination with microorganisms, as their morphology and ability to retain moisture creates a proper environment for their growth. In this work, a novel, easily processed and cheap coating for a nylon fabric with antimicrobial characteristics was developed. After plasma treatment, made to render the fabric surface more reactive sites, the fabric was impregnated with chitosan and silver nanoparticles by simply dipping it into a mixture of different concentrations of both components. Silver nanoparticles were previously synthesized using the Lee–Meisel method, and their successful obtention was proven by UV–Vis, showing the presence of the surface plasmon resonance band at 410 nm. Nanoparticles with 25 nm average diameter observed by STEM were stable, mainly in the presence of chitosan, which acted as a surfactant for silver nanoparticles, avoiding their aggregation. The impregnated fabric possessed bactericidal activity higher for Gram-positive Staphylococcus aureus than for Gram-negative Pseudomonas aeruginosa bacteria for all combinations. The percentage of live S. aureus and P. aeruginosa CFU was reduced to less than 20% and 60%, respectively, when exposed to each of the coating combinations. The effect was more pronounced when both chitosan and silver were present in the coating, suggesting an effective synergy between these components. After a washing process, the antimicrobial effect was highly reduced, suggesting that the coating is unstable after washing, being almost completely removed from the fabric. Nevertheless, the new-coated fabric can be successfully used in single-use face masks. To our knowledge, the coating of nylon fabrics intended for face-mask material with both agents has never been reported.
Stress Management on Senior High School Students in Semarang

Stress is a mental emotional disorder faced by a person due to pressure. Such pressure arises from the failure of individuals to fulfill their needs or wants. The pressure felt by someone can come from within or from outside of themselves. Individuals who experience stress need proper management, so as not to cause further harmful effects. One of the stress management method is by providing 5-finger technique therapy. The purpose of this study was to determine the effect of the 5-finger technique on the high school students’ stress level in Semarang. This study used a Quasi-Experiment Pretest-Posttest design without a control group. The instrument used was a 5-finger technique therapy worksheet, while the stress level was measured using the DASS-42 (Depression Anxiety Stress Scale). Approximately 90 respondents were chosen through simple random sampling and met the including criteria. The data analysis was conducted by using Mann Whitney statistical test, obtaining p-value <0.05 (0.00) was obtained with a decrease in the respondents’ stress level. The results showed that the 5-finger technique reduced the respondents’ stress level.
Land Use Classification With Engineered Features

We report on a methodological framework that analyzes land-use images with engineered (manually designed) features. As older feature engineering methods suffered from excessive computation of their features, we therefore, introduce techniques that are faster and also more elaborate than any previous approach. Feature extraction and description is based on contour and region information. The contour analysis comprises the detection of ridge, river, and edge contours and is based on a technique of minimal complexity (without requiring costly multiplicative operations). The traced contour segments are then partitioned and abstracted; then they are clustered to form group descriptors. The region analysis consists of the detection of brighter, darker, and flatter regions, as well as regions obtained from clustering; the clustering is carried out with minimal complexity using a hierarchical analysis. Region segments are partitioned and abstracted using a fast implementation of the symmetric-axis transform. A total of ca. 70 parameters is developed and land-use classification experiments are performed. On the UC Merced (UCMD) collection, the classification accuracy of Deep Nets is reached; on the NWPU-RESISC45 collection the accuracy still lags somewhat.
Thermodynamic calculations of chemical solubilities of gases in oxide melts and glasses

The Reddy-Blander thermodynamic model for calculating sulfide solubilities in oxide melts and glasses has been modified and extended to predict a priori solubilities of sulfide, sulfate, phosphate, carbonate and halides in multicomponent oxide melts and glasses, from a knowledge of the thermodynamic activities of the basic component oxides (SiO 2 , Na 2 O, K 2 O, CaO, etc), in most cases with no adjustable parameters. Agreement with measured solubilities is within or nearly within experimental uncertainties over wide ranges of composition in two-, three-, four- and five-component melts and glasses. Particularly good agreement is obtained for the dissolution of sulfur, SO 2 and SO 3 as sulfate. The oxide activities used in the computations are calculated from a database of model parameters obtained by optimizing thermodynamic and phase equilibrium data for oxide systems. Sulfide, sulfate, phosphate, carbonate and halides as solutes have now been included in this database. Software for Gibbs energy minimization with automatic access to this and other databases permits the calculation of solubilities in multicomponent oxide melts and glasses in equilibrium with other phases such as gases, molten salts, solids and metals, and can be useful to model evaporation processes and bubble formation.