Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Q675H Mutation in Improving SARS-CoV-2 Spike Interaction with the Furin Binding Pocket

Genotype screening was implemented in Italy and showed a significant prevalence of new SARS-CoV-2 mutants carrying Q675H mutation, near the furin cleavage site of spike protein. Currently, this mutation, which is expressed on different SARS-CoV-2 lineages circulating worldwide, has not been thoughtfully investigated. Therefore, we performed phylogenetic and biocomputational analysis to better understand SARS-CoV-2 Q675H mutants’ evolutionary relationships with other circulating lineages and Q675H function in its molecular context. Our studies reveal that Q675H spike mutation is the result of parallel evolution because it arose independently in separate evolutionary clades. In silico data show that the Q675H mutation gives rise to a hydrogen-bonds network in the spike polar region. This results in an optimized directionality of arginine residues involved in interaction of spike with the furin binding pocket, thus improving proteolytic exposure of the viral protein. Furin was predicted to have a greater affinity for Q675H than Q675 substrate conformations. As a consequence, Q675H mutation could confer a fitness advantage to SARS-CoV-2 by promoting a more efficient viral entry. Interestingly, here we have shown that Q675H spike mutation is documented in all the VOCs. This finding highlights that VOCs are still evolving to enhance viral fitness and to adapt to the human host. At the same time, it may suggest Q675H spike mutation involvement in SARS-CoV-2 evolution.
Design of intelligent container identification system

In this paper, a design of an intelligent container identification system is carried out. The system realizes pre-processing the video of a container, identifying the containers in the video, identifying the container number and container specification code, and determining the landing or transportation state of the container and recording the time. By using the actual video for verification, the system can well realize the above functions and can be applied in the actual scene.
Finite-element model calibration of a railway vehicle based on experimental modal parameters

This article describes the experimental calibration of a three-dimensional numerical model of an Alfa Pendular train vehicle based on modal parameters. The dynamic tests of the carbody and bogie of the vehicle allowed the determination of the frequencies and modal configurations of 13 vibration modes, by applying the data-driven stochastic subspace identification method. In addition, a dynamic characterisation test of the passenger-seat system was also conducted. The calibration of the model was performed using a submodelling/multistep approach involving two phases, the first one focused on the calibration of the model of the bogie under test conditions and the second one focused on the calibration of the complete model of the vehicle. The calibration was performed through an iterative method based on a genetic algorithm and allowed to obtain optimal values of 17 parameters of the numerical model. For the pairing of the vibration modes, real and complex, a recent technique was used based on the calculation of the modal strain energy. The stability of a significant number of parameters considering different initial populations demonstrated the robustness of the algorithm. The comparison of experimental and numerical responses before and after calibration revealed significant improvements in the numerical model and a very good correlation between the responses obtained with the calibrated model and the experimental responses.
Study on High Thermal Conductive BN/Epoxy Resin Composites

In contemporary electronic technology era, the volume of electronic equipment and printed circuit board reduced so dramatically that the requirements of heat dissipation and insulation increase thereafter. In this research, γ-aminopropyltriethoxysilane (KH550)-treated boron nitride (BN) powder was used as a filler to modify epoxy composites. Effects of the BN particle size and concentration on the thermal conductivity of composites were investigated. SEM image showed the treated BN filler dispersed well in the composite matrix. Moreover, the thermal conductivity was enhanced as the BN concentration was increased. Similar phenomenon was also observed when the filler particle size was reduced. Results indicated that with increasing amount of BN addition, the composites’ thermal conductivity showed a nearly linear increase. When the mass fraction of BN was 30% and its particle size was 220 nm, the thermal conductivity reached 3.4 W/(m•k), which was 17 times as high as that of pure EP resin.
Advances and perspectives of mechanomyography

INTRODUCTION: The evaluation of muscular tissue condition can be accomplished with mechanomyography (MMG), a technique that registers intramuscular mechanical waves produced during a fiber's contraction and stretching that are sensed or interfaced on the skin surface. OBJECTIVE: Considering the scope of MMG measurements and recent advances involving the technique, the goal of this paper is to discuss mechanomyography updates and discuss its applications and potential future applications. METHODS: Forty-three MMG studies were published between the years of 1987 and 2013. RESULTS: MMG sensors are developed with different technologies such as condenser microphones, accelerometers, laser-based instruments, etc. Experimental protocols that are described in scientific publications typically investigated the condition of the vastus lateralis muscle and used sensors built with accelerometers, third and fourth order Butterworth filters, 5-100Hz frequency bandpass, signal analysis using Root Mean Square (RMS) (temporal), Median Frequency (MDF) and Mean Power Frequency (MPF) (spectral) features, with epochs of 1 s. CONCLUSION: Mechanomyographic responses obtained in isometric contractions differ from those observed during dynamic contractions in both passive and functional electrical stimulation evoked movements. In the near future, MMG features applied to biofeedback closed-loop systems will help people with disabilities, such as spinal cord injury or limb amputation because they may improve both neural and myoelectric prosthetic control. Muscular tissue assessment is a new application area enabled by MMG; it can be useful in evaluating the muscular tonus in anesthetic blockade or in pathologies such as myotonic dystrophy, chronic obstructive pulmonary disease, and disorders including dysphagia, myalgia and spastic hypertonia. New research becomes necessary to improve the efficiency of MMG systems and increase their application in rehabilitation, clinical and other health areas.
CORRELATIVE ANALYSIS ON ENHANCED DESCENDENTS OF LEACH PROTOCOL FOR WIRELESS SENSOR NETWORKS

Wireless sensor networks (WSN) consist of a collection of sensor nodes sensing and storing data. In the WSN, the sensor nodes have limited transmission power and processing capability due to the limited energy resources. Infrastructure creation and data dissemination process in the Wireless sensor networks have been conventionally treated as the independent problems. Cluster Head selection plays a vital role in design of routing protocols. In this routing protocol individual and random mobile nodes are connected with the solar panel. Though we have many number of mobile hosts in the wireless network, connected with solar equipped system are capable to act as Cluster Head. To reduce the computational and communication costs we invoke an on-demand Cluster Head selection. However, the challenge is about to choose the Cluster Head among solar connected nodes and also various hierarchical routing protocol that are derived from Low Energy Adaptive Clustering Hierarchy (LEACH) have been analysed and surveyed. This paper also highlights the advantages and drawbacks of various Hierarchical routing protocols. The performance is evaluated using Network Simulator-2 and the results are shown.
Amplification of terahertz radiation in quantum cascade structures

We explore the use of quantum cascade structures as amplifiers for terahertz radiation. For this purpose, two section devices were fabricated, in which the output from a ν∼2.3 THz laser section is amplified in a subsequent stage. For relatively short devices we obtain an amplification of 1.5×, in good agreement with the calculated level. Based on these results we predict that amplifications of up to 13 dB could be obtained for such structures using increased amplifier lengths of a few millimeters.
The Building of Marketing Decision Support System Based on Data Warehouse

An outline of marketing decision supporting date warehouse system based on the existing databases is proposed. The application of data warehouse technique and multi-agent systems to modern marketing decision support system may assist supervisors of enterprise to make an analysis of strategic decision and to improve the competitive power of the enterprise. Finally, the developing tools and the implementation of the Web-enabled data warehouse were discussed.
Ultra-Short-Term Wind Power Forecasting Based on Attention Mechanism

Ultra-short-term wind power forecasting can realize real-time situational awareness of wind power, improve the share of wind power in a grid and reduce grid instability. Existing models often show limited capability to extract key time-series features for forecasting. This paper proposes an ultra-short-term wind power forecasting (4 hour-ahead) model (Attention Model) based on an encoder-decoder structure with integrated attention mechanism. Multi-head self-attention is used in the encoder, and the decoder is built by a Recurrent Neural Network (RNN) with improved Bahdanau attention. With the attention mechanism, Attention Model can automatically extract important sequential information from the time-series historical power data, and can be explainable to some extent. Compared with other state-of-the-art models, Attention Model demonstrates improved accuracy for the first forecasting step (15 minute-ahead) by 27%∼58%, by 1%∼12% for the last step (4 hour-ahead) and 4%∼20% for 4-hour average.
Dielectric multilayer thin-film filters for WDM transmission systems

Dielectric multilayer thin-film (DMF) filters for a wavelength-division-multiplexing (WDM) system are discussed. It was found that a 23-layer 3-cavity bandpass-type DMF-filter made of TiO 2 and SiO 2 is most suitable for this type of system. An optical multi/demultiplexer employing this type of bandpass DMF-filter is applicable to a two-way WDM transmission system.
Determination and Improvisation of Innumerable Aspects of the Concert of Workforces and the Proprietor

The Worker Assessment and Fulfillment Structure mostly focus on the Workers who are the utmost significant resources of the concern. A concern’s achievement regularly is determined by on its employee’s concert. An employee will achieve best every time they have fulfillment in their work. There is an opportunity that a worker looks dissimilar difficulties in an Atmosphere, Crew and Development etc. The administration of Employee response structure has been maintained by paper-based Systems, Records, and Worksheets. Regrettably, in today’s fastmoving world maximum of these are unbending to variation and cannot reply rapidly sufficient. So it is challenging for the society to content the hope of workers. This paper offers a resolution for the contests faced by numerous organizations that is how to fulfil their workers. The Organization also gets contract with workers how to propose their objections to the specific individual which would be recognized to others. This arrangement also offers numerous other welfares [15] , that are employees has a handy expression about the eminence of their criticism and when it might be resolved. This structure supports the organization to control the several issues which really makes the Workers to progress their concert . It would outcome in advanced
Coordinated charging strategy for PEVs charging stations

Under the constraints of distribution transformer capacity and satisfying customers charging needs, a two-stage plug-in electric vehicles (PEVs) coordinated charging optimization formulation for charging stations is proposed. In the first stage optimization, the economic profits of the charging stations are maximized and customers' charging demands are satisfied as much as possible. Furthermore, the peak load of the distribution transformer is minimized in the second stage optimization under the constraints based on the results obtained in the first stage optimization. Monte Carlo Simulation method is utilized to sample the charging behaviors of customers. The profits of charging stations and loading of distribution transformer are simulated under coordinated charging strategy with peak load control, coordinated charging strategy without peak load control and uncoordinated charging scenarios correspondingly. The simulation results in Beijing and Shanghai in China indicate that by responding Time of Use (TOU) electricity rates, the profits of the charging stations can be significantly improved without sacrificing the customers' service quality under coordinated charging. Furthermore, the coordinated charging strategy with peak load control which goes through the second stage optimization effectively lowers the peak load of distribution transformer and prevents the possible charging concentration during the late night.
Validating Student Feedback through Review of Online Program Delivery Best Practices

This paper reports the experiences of faculty members in a fully online master‟s program as they seek to validate student feedback on their online learning experiences by conducting a brief literature review on best practices in online program delivery. The findings of independently conducted focus groups are reported, with students identifying four key areas for improvement in their online experience: interaction, material delivery, expectations, and technological and “other” support. Each area is then considered in light of current research in the field of online learning to inform suggestions for improvement.
Design improvement by a simulative investigation of the locomotion of a snake‐like soft robot

This work aims to improve the design of a snake‐like soft robot in terms of its velocity of locomotion by a geometric model. Therefore, we determine the locomotion of the snake‐like soft robot as the result of a given excitation curvature and a given friction anisotropy between the robot and the ground.
Fake News Detection using Machine Learning and Natural Language Processing

everyone depends on numerous online resources for news in today’s world, where the internet is used as a medium. As the use of social media sites such as Facebook, Twitter, and others has grown, news has spread quickly between a large number of users in a tiny snap of time. The dissemination of false news has the implications, from swaying voting results in favour of some parties to creating skewed opinions. Furthermore, spammers use enticing news stories to generate revenue from click-bait ads. Our goal in this paper is to use AI, and ML principles to implement binary classification of different news contents available on social media sites. Our goal is to give the user the ability to identify news as fake or actual, as well as to verify the legitimacy of the website that published the news.
SAFETY CRITICAL MARITIME INFRASTRUCTURE SYSTEMS RESILIENCE: A CRITICAL REVIEW

Safety Critical Maritime Infrastructure (SCMI) systems are vulnerable to diverse risks in their challenging field of operations due to their interactions and interdependence. In addition, the multiplicity of stakeholders in these systems and the complex operational scenarios are often associated with a high level of uncertainty because they usually operate in a dynamic environment in which the boundaries of safety are pushed, leading to the disruption of operations. Therefore, the safety of these systems is very important to ensuring resilience of their operations. This research is focus on the background analysis of SCMI systems. This includes operational processes of SCMI systems, security threats and estimates of economic damage to the system, resilience engineering literature relevant to maritime operations; regulatory overview including risk governance of the systems, lessons learnt from major accidents and a concluding remark is drawn.
An Improved Leaf Area Measurement Based on Image Processing

This paper concerns the plant leaf area measurement based on improved image processing. Firstly, the referenced rectangle was detected with 2-side scanning method. Then the leaf region was segmented according to 2G-R-B of every pixel with two different thresholds, and by using of dilatation operation, the trimap of leaf image was got. Next the pixels in unknown area were classified to the foreground or background area with improved knockout method and the exact leaf was segmented. Lastly, the leaf area was calculated according to the pixels proportion between leaf region and the referenced rectangle. Experiment results show this method has good accuracy and rapid speed.
Comparison of the broadband performance of two‐way power dividers and combiners

A comparison of the broadband performance of four different microwave power divider/combiner networks is presented. Each network is designed to have a Butterworth (maximally flat magnitude) response versus frequency, and each is limited to approximately the same physical size and number of elements. The analysis of the four networks is presented, and is followed by their performance characteristics in terms of s-parameters. Certain superior characteristics are noted for each network, and measured results are presented to confirm the theory. © 1998 John Wiley & Sons, Inc. Microwave Opt Technol Lett 17: 29–37, 1998.
Estimation models for the preliminary design of electromechanical actuators

This article presents estimation models for the model-based preliminary design of electromechanical actuators. Models are developed to generate all the parameters required by a multi-objective design, from a limited number of input parameters. This is achieved using scaling laws in order to take advantage of their capability to reflect the physical constraints driving the actuator’s component sizing. The proposed approach is illustrated with the major components that are involved in aerospace electromechanical actuator design. The established scaling laws provide the designer with parameters needed for integration into the airframe, power sizing, thermal balance, dynamics, and reliability. The resulting estimation models are validated with industrial data.
Developing a hybrid evaluation process for product acceptability: An empirical study in automobile industry

Product acceptability has become a very important issue as manufacturers have to decide whether product factors influence consumer decision on the purchase. In recent years, the evaluation of product acceptability has been a topic of continuous and extensive research. Unfortunately, manufacturers and designers often misunderstand what consumers really want. Hence, how to evaluate the acceptability of product is one of the key problems of product development. In this study, we proposed a hybrid evaluation process for acceptability problem in an attempt to evaluate product acceptability with better performance. A real case, car evaluation, was tested to show that the product acceptability problem can be easily evaluated and predicted using the proposed approach. The results show that it can solve the product acceptability problems and could be extended to other industries. Key words: Acceptability evaluation, product acceptability, product development, consumer decision.
Performance of coherent PSK receivers using adaptive combining, beamforming and equalisation in 50 km underwater acoustic channels

During the first phase of trials, undertaken in the Mediterranean by the MAST2 project "LORACOM", PSK modulated data was transmitted over a 50 km underwater acoustic channel. The objectives of LORACORM are to achieve reliable underwater acoustic transmission over long ranges for applications such as remote instrumentation and ocean buoy monitoring. The test data were received on both a short vertically aligned transducer array (AV1), and on a number of widely spaced hydrophones in the water column (F1). This paper describes the results of processing this data using a number of digitally implemented coherent receiver structures based on adaptive equalisation, adaptive beamforming, and adaptive multichannel combining.
CHANGES IN VERTICAL JUMP PERFORMANCE AS A RESULT OF ALTERING THE FORCE-TIME CURVE TO EXHIBIT A SMOOTH RISE TO PEAK FORCE

INTRODUCTION Many individuals exhibit vertical jumping forcetime profiles that have multiple maxima. Based upon the discussions of Hochmuth (1984), the perfect force-time curve exhibited in a vertical jump, is one that exhibits an immediate rise to maximum force followed by a maintenance of maximum force for as long as possible until force application to the ground immediately ceases. Graphically, force with respect to time would resemble a square impulse. Physically this type of force production is impossible to generate by the human body. Pilot work examining force-time curves in vertical jumping indicated that some individuals generated smooth rises to a single maximum peak force. Continuing Hochmuth's argument, a smooth rise to a single peak force is most likely the best performance that one could exhibit. The exploratory question then becomes: Do smooth rises to peak force enhance performance? The purpose of this investigation was to examine the effects of altering existing force-time curves mathematically to produce a smooth rise to a single peak force. METHOD Smooth rises to peak force were attained by fitting a parabolic trajectory to the force record of 43 individuals. It was hypothesized that Effective Integration of the System (EIS) scores and vertical jump heights would improve as a result of fitting a parabolic rise to peak force. Variables with respect to time of jump, magnitude of maximum force, time of eccentric and concentric contractions were not altered. RESULTS AND CONCLUSIONS In every instance, EIS and vertical jump heights improved. EIS improved from 18.96% to 40.43% after creating a smooth rise to peak force. Vertical jump height improved from an average of 33.66cm to 50.08cm as a result of altering the forcetime profile. The result of manipulating force-time curves to exhibit a smooth rise to peak force resulted in improved performance (i.e., hypothetically) for all individuals (n=43). The prediction model for skillfulness also increased significantly E IS and vertical jump height following parabolic fitting. Admittedly, altering force-time curves to obtained a smooth rise to peak force does not offer significant insights into what to alter or how to alter movement in vertical jumping to elicit smooth rises to peak force. However, increased hypothetical performance measures certainly indicate that future investigations should examine other force-time patterns effects on performance and determine variables (e.g., in the kinematic record) that are conducive to assisting performers in producing smooth rises to maximum force application to the ground.
MR seat suspension for vibration control of a commercial vehicle

This paper presents vibration control of a commercial vehicle utilising a magnetorheological (MR) seat damper. A cylindrical type of MR seat damper is manufactured and its field-dependant damping forces are experimentally evaluated. The MR seat damper is then incorporated with a full-vehicle model in which conventional passive dampers are installed for primary and cabin suspension, respectively. After formulating the governing equations of motion of the full-vehicle model, a semi-active skyhook controller is realised by adopting a hardware-in-the-loop-simulation (HILS) methodology. Control responses such as acceleration at the driver's seat are evaluated under both bump and random road conditions.