Miracle-dz/UniFAR-FTUs huggingface dataset:
SENTIMENT ANALYSIS ON BANGLA YOUTUBE COMMENTS USING MACHINE LEARNING TECHNIQUES

: Sentiment Analysis (SA) is an opinion mining study analysing people’s opinions, sentiments, evaluations and appraisals towards  Societal entities such as products, services, individuals, organizations, events, etc. Of late, most of the research works on SA in natural language processing (NLP) are focused on English language. However, it is noted that Bangla language does not have a proper dataset that is both large and standard. As a result, recent research works with Bangla language in SA have fallen short to produce results that can be both comparable to works done by others in other languages and reusable for further prospective research. In this work, a substantial textual dataset of both Bangla and Romanized Bangla texts have been provided which is first of this kind and post-processed, multiple validated, and ready for SA implementation and experiments. Further, in this project scraping video information from YouTube and validate the data samples into one of three categories: positive (1), negative (0) and neutral. In this work used real-time analytics, simply means that data is analyzed right after data becomes available. Real-Time Analytics can produce insights without any delay.
Picosecond Self-Induced Thermal Lensing from Colloidal Silver Nanodisks

The optical and nonradiative relaxation dynamics of 5 nm thick silver nanodisks with a 25 nm diameter have been investigated in an organic solvent by continuous wave (cw) and femtosecond pump−probe time-resolved spectroscopies. Several surface plasmon absorption bands are observed due to the disk shape of these particles. In the time-resolved experiments, the time dependence of the bleach resulting from femtosecond pulsed excitation is studied. On the 1−3 ps time scale, a decay resulting from electron−phonon relaxation is observed. On a longer time scale (>20 ps), a rise rather than a further decay of the bleach intensity is observed. This is shown to result from the formation of a thermal lens due to the induced thermal gradients produced from heating the organic solvent by the phonon−phonon relaxation processes of the photoexcited nanodisks.
Accurate measurements of the silicon intrinsic carrier density from 78 to 340 K

The intrinsic carrier density in silicon has been measured by a novel technique based on low‐frequency capacitancemeasurements of a p +‐i‐n + diode biased in high injection. The major advantage of the method is its insensitivity to uncertainties regarding the exact values of the carrier mobilities, the recombination parameters, and the doping density. The intrinsic carrier density was measured in the temperature range from 78 to 340 K. At 300 K the value of n i was found to be (9.7±0.1)×109 cm−3.
Eudragit RL and RS Pseudolatices: Properties and Performance in Pharmaceutical Coating as a Controlled Release Membrane for Theophylline Pellets

AbstractTheophylline Active pellets were coated with Eudragit RL and RS pseudolatices in a fluidized bed. The effects of polymer ratio, additional oven drying, addition of dispersed solids, and addition of water miscible organic solvents on sustained drug release through the lates film were determined by using a modified U.S.P. Paddle dissolution method.The release rate of theophylline can be varied by changing the polymer ratio. permeability to the drug increases with an increase in the content of Eudragit RL. Additional oven drying at 60°C for 10 hours caused no significant change in the dissolution profiles. The addition of dispersed solids such as talcum and silica resulted in an increase in drug release rate. There is no significant change in dissolution profiles when 50% methanol or acetone was added to the Eudragit RS pseudolatex.
Electrochemically Synthesized Polypyrrole/Graphene Composite Film for Lithium Batteries

A polypyrrole/reduced graphene oxide (PPy/r‐GO) composite film is prepared by inducing electrochemical reduction of graphene oxide incorporated into PPy as the dopant. This film has a wrinkled surface morphology with a porous structure as revealed by scanning electron microscopy. Its porous structure is attributed to the physical nature of the GO sheets, providing a templating effect during PPy deposition. This PPy/r‐GO composite is characterized using in‐situ UV–visible spectroelectrochemistry as well as Raman and Fourier‐transform IR spectroscopy. The PPy/r‐GO material shows greatly improved electrochemical properties, i.e., a high rate capability and excellent cycling stability when used as a cathode material in a lithium ion battery. It also delivers a large reversible capacity when used as an anode material, and this is mainly attributed to the reduced graphene oxide (r‐GO) component.
Researchment of Mainlobe Anti-jamming Algorithms

Main lobe interferences usually cause the distortion and peak offset of main lobe and the heighten of side lobe level in adaptive beamformers. The block matrix algorithm utilized the direction vector which was determined by both the antenna arrays and the direction of interference to eliminate the main lobe interference. But this algorithms is sensitive to the error occurred in the interference arrive angle and would consume the array of degrees of freedom. In this paper a new algorithm is proposed which projects the receive signal into a space which is orthogonal to the signal subspace to achieve the goal. The space can get by three steps. Frist we obtain eigenvalues by the decomposition of the covariance matrix of the snapshots to evaluate the noise power. Then we get a new matrix by removing the noise from the covariance matrix of the snapshots. At last we get the target space by conducting the singular value decomposition to the new matrix. Performance is mainly assessed in terms of the beamforming gain and the signal to interference and noise (SINR) ratio. The computer simulation shows the effective of this method.
Effect of Properties of Silver Nanoparticles Coated with Polar Material and the Antibacterial Activity on Marine Pathogenic Bacteria

Silver nanoparticles (Ag NPs) have become one of the current research hotspots and are used in many fields such as electrochemistry, energy, bioanalysis, and environmental monitoring, especially in the field of antibacterial research. In this study, we investigated the effect of properties of Ag NPs coated with polar materials. Ag NPs covered by a dispersant that was triethylene glycol monoethyl ether was stable and conquered the aggregation of Ag NPs. The effect of the dispersant on biocompatibility was explored through interaction experiments between Ag NPs and DNA sequence. The coated Ag NPs could adsorb DNA, and the fluorescence of FAM-DNA could be quenched by Ag NPs. The adsorption and desorption experiments of DNA showed that the order of DNA functional groups on the interaction process was phosphate>T>C>A>G. Moreover, we selected marine pathogenic bacteria to test the antibacterial effect of Ag NPs coated with a polar dispersant. The polar material had a certain inhibitory effect on the antibacterial activity of Ag NPs. However, small molecules such as bases could interact on the surface Ag NPs and release Ag+ to perform the antibacterial activity. The results could contribute to the further application of Ag NPs.
The Real Effects of Mandatory Corporate Social Responsibility Reporting in China

We investigate the real effects of corporate social responsibility (CSR) reporting regulation enacted in China in 2008 covering both state‐owned enterprises (SOEs) and non‐state‐owned enterprises (NSOEs). As the CSR reporting requirement applies only to select firms, the regulation presents a unique setting that provides us with a suitable control sample of firms not subject to the regulation. Using a difference‐in‐differences approach, we document that relative to firms that are not affected by the regulation, NSOEs and SOEs with low state ownership subject to the mandate are associated with increases in CSR expenditures. Moreover, the real effects manifest in non‐core initiatives for these firms, whereas they manifest in core operating activities for SOEs with high state ownership. Finally, the effects of the mandatory CSR reporting on profitability and shareholder value are negative.
Application of neural network to predict mutations in proteins from influenza A viruses - A review of our approaches with implication for predicting mutations in coronaviruses

The recent outbreak of COVID-19 pandemic is attributed to cross-species transmission of new coronavirus from bats to humans through unknown intermediate hosts, and the essence of the transmission is closely related to the mutations in coronaviruses. Furthermore, the effort to develop the vaccines against coronaviruses always faces the challenge of unexpected mutations in coronaviruses. In fact, it is very difficult to predict the mutations in any virus and bacterium, although mutations are a process of evolution. Over years, we have been applied the neural network to predict the mutations in proteins from influenza A viruses in comparison with the predictions using logistic regression. Our results are encouraging, but our approaches still need the improvements, for example, to upgrade to using machine learning and artificial intelligence instead of neural network. In this review, we summarize the rationales of neural network modelling, its strength and weakness, with the hope that we can apply the improved methods to predict the mutations in coronaviruses, thus to explore the origin of SARS-CoV-2, to find its intermediate host, and eventually to predict its mutations.
A new approach to predict the indirect tensile strength of Portland cement concretes

ABSTRACT: The indirect tensile strength (ITS) of portland cement concrete (PCC) is commonly predicted using several existing empirical equations that relate this property to the compressive strength. Based on the compressible packing model (CPM), a new approach for predicting ITS of PCC was developed. The proposed approach is based on knowing the ITS of the cementitious paste and other parameters related to aggregate properties. Compared to existing models, the proposed approach showed the best predictability as the root mean square error between its predictions and experimental values for a wide range of concretes, having different sources of aggregates, types of cement and water to cement ratio, did not exceed 0.2 MPa.
Estimation of ligand-field parameters from Mössbauer spectra

Computer programmes are described for the calculation of the temperature-dependence of the Mossbauer quadrupole splitting of complexes containing octahedral and tetrahedral high-spin Fe2+ and octahedral low-spin FeIII. The derivation of ligand-field parameters from experimental data is critically considered, and contributions from the crystal lattice and covalency are also discussed. An iterative method for fitting trial models to experimental data is described and tested, and can be generally applied to the minimisation of any matrix solution.
An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence

Artificial Intelligence (AI) is currently changing how people live and work. Its importance has prompted educators to begin teaching AI in secondary schools. This study examined how Chinese secondary school students’ intention to learn AI were associated with eight other relevant psychological factors. Five hundred and forty-five secondary school students who have completed at least one cycle of AI course were recruited to participate in this study. Based on the theory of planned behavior, the students’ AI literacy, subjective norms, and anxiety were identified as background factors. These background factors were hypothesized to influence the students’ attitudes towards AI, their perceived behavioral control, and their intention to learn AI. To provide more nuanced understanding, the students’ attitude towards AI was further delineated as constituted by their perception of the usefulness of AI, the potential of AI technology to promote social good, and their attitude towards using AI technology. Similarly, the perceived behavioral control was operationalized as students’ confidence towards learning AI knowledge and optimistic outlook of an AI infused world. Relationships between the factors were theoretically illustrated as a model that depicts how students’ intention to learn AI was constituted. Two research questions were then formulated. Confirmatory factor analysis was employed to validate that multi-factor survey, followed by structural equational modelling to ascertain the significant associations between the factors. The confirmatory factor analysis supports the construct validity of the questionnaire. Twenty-five out of the thirty-three hypotheses were supported through structural equation modelling. The model helps researchers and educators to understand the factors that shape students’ intention to learn AI. These factors should be considered for the design of AI curriculum.
Inherent Safety Analysis and Sustainability Evaluation of Chitosan Production from Shrimp Exoskeleton in Colombia

Waste valorization strategies are key to achieve more sustainable production within the shrimp industry. The crustacean exoskeletons can be potentially used to obtain value-added products such as chitosan. A comprehensive analysis including both safety and sustainability aspects of chitosan production from shrimp shells is presented in this study. The inherent safety analysis and sustainability evaluation was performed using the Inherent Safety Index (ISI) methodology and the Sustainable Weighted Return on Investment Metric (SWROIM), respectively. The process was designed for a processing capacity of 57,000 t/year. The return on investment (%ROI), potential environmental impact (PEI output), exergy efficiency, and the total inherent safety index (ITI) were used as indicators to evaluate process sustainability. The total inherent safety index was estimated at 25 indicating that the process is inherently unsafe. The main process risks were given by handling of flammable substances, reactivity, and inventory subindices. The overall sustainability evaluation showed a SWROIM of 36.33% indicating that the case study showed higher weighted performance compared to the return on investment metric of 18.08%.
The Formation of a Comfortable Urban Environment

The concept of “smart city” and the need to follow this direction in the light of current trends, so as not to miss the chance to improve life in cities. The development and improvement of cities allows humanity to reach a new level in the quality of life and intellectual development. Hence, the population has more prospects to change the surrounding life and their personal. The article reflects the main ideas in the formation of a comfortable urban environment, their relationship and impact on a favorable social climate. The scenario algorithm of practical action for the active citizen on determination of the direction of improvement of comfort of the city environment, establishment of communications of objects of infrastructure of the city environment, Association of the used methods of changes in the concept is offered. The results of the project “;Formation of a comfortable urban environment” on the example of the Sverdlovsk region. The stages of organizational procedures are analyzed, the data of analysts are analyzed, conclusions are drawn about the need to involve citizens in the implementation of projects initiated by citizens.
Interface characterization of nickel contacts to bulk bismuth tellurium selenide

Transmission electron microscopy (TEM) characterization of nickel contacts to bulk bismuth tellurium selenide [Bi2(Te,Se)3] is reported. Samples were prepared in a dual column focused ion beam/scanning electron microscope (FIB/SEM) system using a lift‐out technique, with ion beam energy and exposure times carefully optimized to minimize sample damage. Diffusion of Ni into Bi2(Te,Se)3 was observed and the formation of a nickel telluride (NiTe) interfacial region confirmed after heat treatment at 200 °C. Selected area diffraction patterns provided evidence of a modified bismuth telluride–like structure at the interface, identified by analytical electron microscopy to be composed of Ni and Bi2(Te,Se)3. Copyright © 2009 John Wiley & Sons, Ltd.
Dynamic Gesture Recognition Based on iCPM and RNN

Aim to solve the problem that continuous complex actions are difficult to be recognized by computer vision technology in actual production, this paper collects gesture video from single-and double-viewpoint, constructs gesture joint point coordinate recognition network model by improved Convolutional Pose Machine(iCPM) model, obtains gesture Gauss heat map and joint point coordinates in each frame of video, and then inputs joint point coordinates with time series into gesture sequence recognition network. Finally, the gesture sequence is obtained. The experimental results show that the recognition accuracy of gesture recognition model based on double-viewpoint is 4.18% ∼ 6.92% higher than that of the single-viewpoint gesture recognition model, which verifies that the gesture recognition model based on dual-viewpoint has better recognition effect. In addition, the video samples of Tin-Lead Soldering including continuous and complex actions verify that the model has ideal recognition ability for dynamic gesture in actual production process.
Design of internal dynamics based MMC controller for HVDC transmission

Currently, the modular multilevel converter (MMC) is the most advanced voltage source converter topology. Because the MMC is a converter topology, the most common approach for controller design is considering the conventional converter model to design the controller accordingly. Though this approach ignores the internal dynamics of the MMC, the modular structure enables distribution of the capacitors in six arms of the MMC. However, this distribution leads to a complex internal dynamic that affects the controller operation and cannot be disregarded. In this study, a detailed fundamental and circulating current model of the MMC is developed while considering its internal dynamics. The detailed modelling reveals cross- and inter-couplings. On the basis of the detailed model and analysis of the couplings, three controllers have been proposed. More-over, the performances of the proposed and conventional controllers have been analysed and compared under steady-state and active and reactive power changes. The proposed controllers are observed to achieve improved decoupling compared to that achieved by the conventional controller.
Preliminary Caesium Data From A Cooperative Us/Ussr Monitoring Survey for Chernobyl Radioactivity in the Black Sea

Abstract In June 1990, scientists from the US Environmental Protection Agency's (EPA) Office of Radiation Programs (ORP), and the Woods Hole Oceanographic Institution (WHOI), travelled to Sevastopol in the Soviet Union to work with radioecologists and marine scientists from the USSR Institute of Biology of the Southern Seas (IBSS). the purpose of this cooperative programme was to conduct a monitoring survey for radioactivity in the northwestern Black Sea. Samples of sediment, surface and in-situ water, and biota were collected from fourteen stations for post-survey radionuclide analyses to determine levels of radioactivity in the Black Sea environment resulting from the Chernobyl nuclear power plant explosion and subsequent transport of radioactivity via the Dnepr and Danube rivers. This paper presents the preliminary data for caesium-137 and caesium-134 in sediment samples analyzed by the EPA/ORP. Caesium-137 was measured at four shallow (20–114 m) stations on the shelf near the mouth of the Dnepr and Da.
Formulation, Characterization and in-vitro Evaluation of Famciclovir Loaded Solid Lipid Nanoparticles for Improved Oral Absorption

Famciclovir loaded Solid Lipid Nanoparticles (SLNs) using triglycerides as solid lipids were successfully prepared using the double emulsion-solvent evaporation technique. Formulation parameters like amount and type of lipid and level of surfactants affected the nanoparticle characters. It was observed that nanoparticle characters like average particle size and distribution, drug content, entrapment efficiency and release pattern were dependent on these formulation variables. The optimized formulations depicted the desired characters of low particle size, in the range of 140-170 nm in case of Glyceryl monostearate (GMS) and glyceryl distearate (GDS) SLNs and 250-340 nm in case of glyceryl behenate (GB) SLNs and entrapment efficiencies in the range of 35-48%. In vitro drug release was extended upto 8 h and the release profile was explained by the Baker-Lonsdale model for spherical particles. Morphological examination by Scanning Electron Microscope (SEM) and Transmission Electron Microscope (TEM) displayed homogenous solid, spherical and non- porous particles. The formulations depicted good redispersibility after lyophilization and presence of residual solvents in the formulations within the prescribed limits suggested suitability of the preparation technique. Freeze- dried formulations were found to be stable in terms of particle size and drug loading even after 6 months of storage at refrigerated conditions.
Coach awareness, knowledge and practice in relation to growth and maturation and training load in competitive, young gymnasts

Growth-related and overuse injuries are commonly reported in young gymnasts. Two risk factors of these injuries are growth and maturation, and training load. However, little is known regarding current coaching knowledge and practice in relation to these risk factors. To help understand current knowledge and practice, 44 coaches of competitive, young gymnasts, from 3 gymnastics disciplines (men’s artistic, women’s artistic, trampoline) took part in focus groups. The focus groups explored the awareness, experience and practice of coaches in relation to growth and maturation, training load and injury in competitive, young gymnasts. Data were analysed manually using an inductive thematic approach to identify core themes. The findings showed that coaches were aware of the physical changes and injuries that occur during the adolescent growth spurt. Both psychological changes and skill loss/confusion were also identified as challenges during this time. The knowledge and practice of monitoring growth and maturation, and training load did however differ between disciplines. Sports science and medicine practitioners were recognised as key stakeholders in helping manage and reduce the risk of injuries during growth. There appears to be gap between coach knowledge of growth and maturation, and training load, and practices such as monitoring training load and growth. Educating coaches and further research in these areas will aid coaches in reducing the risk of injuries in young, competitive gymnasts.
The preparation and characterization of nearly hysteresis‐free metal‐nitride‐silicon capacitors on both p‐ and n‐type silicon substrates

The hysteresis in metal‐nitride‐silicon (MNS) capacitors can be reduced to nearly zero by using nitrogen‐rich silicon nitride as the gate dielectric and treating the silicon substrate by an ammonia plasma before dielectric deposition. However, the ammonia plasma treatment step also causes an increase in interface state density, especially in the middle of the silicon band gap. Without the ammonia plasma treatment, the virgin flat‐band voltage V*FB is always negative. With the ammonia plasma treatment, V*FB can be shifted from a negative value to zero for MNS capacitors on n‐type silicon, whereas V*FB will be shifted from a negative value to a more negative value for MNS capacitors on p‐type silicon. These effects can be explained by postulating that the interface states generated by the ammonia plasma treatment step are amphoteric defects similar to Pb centers at the oxide/silicon interface in metal‐oxide‐silicon capacitors.