Miracle-dz/UniFAR-FTUs huggingface dataset:
Analytical RTT Estimation of a 3-D Elevator System by Exact Stop Positions - Extension to Multi-floor and Non-uniform Population Applications

3-dimensional (3-D) elevator systems will be the industrial trend. Traditionally, designers first perform a calculation on traffic analysis to get an overall concept and then go ahead to carry out simulation to obtain details. This tradition is still maintained throughout the world. In one previous article, a “Scanner” approach was adopted to convert a 2-D or 3-D path of scanning to a 1-dimensional line and a sophisticated origin/destination stops matrix was generated to calculate the round trip time (RTT). A probability matrix was generated with an assumption that only one floor was served in one round trip. In a more recent article, by using order statistics, a method to break down a series of repeatable stops in a 3-D system into several series of non-repeatable stops was developed for easy reasoning by designers. Here, a uniform population distribution of all potential stops and a single floor service were assumed. In this article, by following the concept of the most recent article, RTT calculation could be extended to non-uniform population distribution of stops and multi-floor applications which may be the most general approach to calculate the RTT of a truly 3-D elevator system.
Anti-inflammatory effect and isolation of phenylethanoid and acylated flavone glycosides from Panzeria alaschanica

Abstract The phytochemical study of the EtOAc extract from Panzeria alaschanica resulted in the isolation of two new acylated flavone glycosides, 5,7,4′-trihydroxyflavone-7-O-(6″-O-[E]-coumaroyl)-β-glucopyranoside (1) and 5,7,4′-trihydroxyflavone-7-O-(2″,6″-O-[E]-dicoumaroyl)-β-glucopyranoside (2), as well as of a known phenylethanoid (verbascoside, 3). The structure of the isolated compounds was elucidated by spectroscopic methods, including ultraviolet spectrophotometry, infrared absorption spectroscopy, electrospray ionization mass spectrometry and 1D nuclear magnetic resonance spectroscopy, and by comparison with those reported in the literature. All compounds were investigated for their effect against inflammation induced by egg albumin and carrageenan in rats.
Prospects for using silicon nanoparticles fabricated by laser ablation in hyperthermia of tumours

The efficiency of using silicon nanoparticles, produced by laser ablation of porous silicon in liquids, as agents for hyperthermia of tumours using laser radiation with wavelengths of 633 and 800 nm is evaluated. Using the optical parameters of the nanoparticles suspensions determined earlier by the spectrophotometry measurements, the heating of tumour tissue with embedded nanoparticles is numerically modelled. The heat transfer equation is solved by the finite element method which considers the volumetric distribution of the absorbed light power, calculated by the Monte Carlo technique, as a distributed heat source. The simulations performed indicate that embedding silicon nanoparticles with a concentration of up to 5 mg mL−1 into a tumour allows its maximum temperature to be increased by 0.2–4 °C in comparison with heating the tumour without nanoparticles depending on the irradiation wavelength and intensity.
Alternative migratory tactics in brown trout (Salmo trutta) are underpinned by divergent regulation of metabolic but not neurological genes

Abstract The occurrence of alternative morphs within populations is common, but the underlying molecular mechanisms remain poorly understood. Many animals, for example, exhibit facultative migration, where two or more alternative migratory tactics (AMTs) coexist within populations. In certain salmonid species, some individuals remain in natal rivers all their lives, while others (in particular, females) migrate to sea for a period of marine growth. Here, we performed transcriptional profiling (“RNA‐seq”) of the brain and liver of male and female brown trout to understand the genes and processes that differentiate between migratory and residency morphs (AMT‐associated genes) and how they may differ in expression between the sexes. We found tissue‐specific differences with a greater number of genes expressed differentially in the liver (n = 867 genes) compared with the brain (n = 10) between the morphs. Genes with increased expression in resident livers were enriched for Gene Ontology terms associated with metabolic processes, highlighting key molecular–genetic pathways underlying the energetic requirements associated with divergent migratory tactics. In contrast, smolt‐biased genes were enriched for biological processes such as response to cytokines, suggestive of possible immune function differences between smolts and residents. Finally, we identified evidence of sex‐biased gene expression for AMT‐associated genes in the liver (n = 12) but not the brain. Collectively, our results provide insights into tissue‐specific gene expression underlying the production of alternative life histories within and between the sexes, and point toward a key role for metabolic processes in the liver in mediating divergent physiological trajectories of migrants versus residents.
A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care

Due to the outbreak of COVID-19, the Internet of Medical Things (IoMT) has enabled the doctors to remotely diagnose the patients, control the medical equipment, and monitor the quarantined patients through their digital devices. Security is a major concern in IoMT because the Internet of Things (IoT) nodes exchange sensitive information between virtual medical facilities over the vulnerable wireless medium. Hence, the virtual facilities must be protected from adversarial threats through secure sessions. This article proposes a lightweight and physically secure mutual authentication and secret key establishment protocol that uses physical unclonable functions (PUFs) to enable the network devices to verify the doctor’s legitimacy (user) and sensor node before establishing a session key. PUF also protects the sensor nodes deployed in an unattended and hostile environment from tampering, cloning, and side-channel attacks. The proposed protocol exhibits all the necessary security properties required to protect the IoMT networks, like authentication, confidentiality, integrity, and anonymity. The formal AVISPA and informal security analysis demonstrate its robustness against attacks like impersonation, replay, a man in the middle, etc. The proposed protocol also consumes fewer resources to operate and is safe from physical attacks, making it more suitable for IoT-enabled medical network applications.
Applicability of the single-scattering approximation for the ocean acoustic sounding

A mathematical model in the work that describes the process of pulsed high-frequency acoustic sounding in a fluctuating ocean is considered. The inverse problem for the non-stationary equation of acoustic radiative transfer is investigated. It consists in finding the coefficient of volume scattering from the angular distribution of the radiation flux density at a given point in space. In the single scattering approximation, a formula is obtained to find the scattering coefficient. A series of computational experiments was carried out to substantiate its use in acoustic sensing of a fluctuating water medium. A numerical analysis has shown that the application of the single scattering approximation is justified at least at a sensing range of the order of 100 meters. Moreover, double and triple scattered fields have the main effect on the error.
Response to Reviewer 2

Major sudden stratospheric warmings (SSWs) are extreme wintertime circulation events of the Arctic stratosphere that are accompanied by a breakdown of the polar vortex and are considered an important source of predictability of tropospheric weather on subseasonal to seasonal time scales over the Northern Hemisphere midand highlatitudes. However, SSWs themselves are difficult to predict, with a predictability limit of around one to two weeks. The predictability limit for determining the type of event, i.e., wave-1 or wave-2 events, is even shorter. Here we analyze the dynamics of the vortex break5 down and look for early signs of the vortex deceleration process at lead times beyond the current predictability limit of SSWs. To this end, we employ a mode decomposition analysis to study the potential vorticity (PV) equation on the 850 K isentropic surface by decomposing each term in the PV equation using the empirical orthogonal functions of the PV. The first principal component (PC) is an indicator of the strength of the polar vortex and starts to increase from around 25 days before the onset of SSWs, indicating a deceleration of the polar vortex. A budget analysis based on the mode decomposition is then used to 10 characterize the contribution of the linear and nonlinear PV advection terms to the rate of change (tendency) of the first PC. The linear PV advection term is the main contributor to the PC tendency at 25 to 15 days before the onset of SSW events for both wave-1 and wave-2 events. The nonlinear PV advection term becomes important between 15 to 1 days before the onset of wave-2 events, while the linear PV advection term continues to be the main contributor for wave-1 events. By linking the PV advection to the PV flux, we find that the linear PV flux is important for both types of SSWs from 25 to 15 days prior 15 to the events but with different wave-2 spatial patterns, while the nonlinear PV flux displays a wave-3 wave pattern, which finally leads to a split of the polar vortex. Early signs of SSW events arise before the one to two week prediction limit currently observed in state-of-the-art prediction systems, while signs for the type of event arise at least one week before the event onset.
Relative logic cell placement for mitigation of charge sharing-induced transients

Design of modern integrated circuits increasingly requires consideration of radiation effects, especially in space and other high-risk environments. With fabrication technologies scaling down both feature sizes and critical charge, a radiation strike in sub-100 nm technologies may affect multiple, physically adjacent nodes. With increasing clock speeds, transient errors in the processing datapath also increase in risk. Modeling single-event multiple-transients (SEMT) for pre-fabrication reliability characterization has become a more common design step, and this work adds to the state-of-the-art by providing a fast and physically-informed characterization flow that captures the effects of single-event multiple-node charge collection through experimentally observed transport mechanisms. Beyond characterization, the study of SEMT vulnerabilities reveals the electronic design automation (EDA) step of standard logic cell placement as a design space for hardening against SEMT-induced errors. This work: (1) analyzes the vulnerability of benchmark circuits against SEMT errors, (2) evaluates the impact of logic on transient propagation, (3) explores EDA placement techniques, and (4) builds an automated design flow for relative placement of cells to mask transient errors, while maintaining compatibility with other radiation hardening techniques. Zero cost to area and marginal impact on timing enable this new cell placement algorithm that masks 30% of SEMT-induced errors.
New geography in old territories: a multivariate approach based on Portuguese regions

ABSTRACT This paper studies the strongly asymmetrical distribution of the population, quality of life and economic development in Portugal. It identifies homogeneous areas supported by an analysis of competitiveness, cohesion and environmental quality dimensions. Drawing on a multivariate approach, its findings reveal differences in terms of development across the country. The study identified groups of regions with common characteristics that go beyond the standard north–south or coastal–inland distinctions. Metropolitan areas and export-oriented regions are clearly distinguishable from the remainder of the country. Economic agglomeration indicators, as gross domestic product per capita, population density, resident foreign population and youth index, among others, are those that reveal greater diversity across the country.
Volunteering in palliative care during COVID-19 pandemic

COVID-19 pandemic significantly changed situation of volunteering in palliative care units all over the world. The involvement of volunteers who formed and supported hospices and were involved in palliative care provided to patients and families was significantly hampered. According to multicenter CovPall study conducted in 2020 a total of 79% palliative care units explored significantly rarer utilized volunteers support. In spite of difficult epidemiology situation in some palliative care units volunteers provided psycho-social and spiritual support to patients after being training regarding rules of protection against being infected, although with less frequency compared before pandemic.
LDA-based Topic Mining of Microblog Comments

Microblog comments express the public’s views and attitudes on Microblog hot topics and hot events. Therefore, by excavating the theme of Microblog comments, we can help people understand the trend of public opinion and the attitude of the public towards the event. In view of Microblog comment topic mining, the problem we need to solve is how to use simple methods to quickly and efficiently obtain Microblog comment content, and how to use what methods to mine the theme of Microblog hot events to a great extent. First of all, we construct dynamic links through static web pages, write Microblog comment web crawler program in Python language, and solve the problem of crawling Microblog dynamically loading web page comments. Secondly, we use the Latent Dirichlet Allocation model, which is the implicit Dirichlet distribution, to mine the text.
Pure diethylamine phosphate from crude phosphoric acid

Pure diethylamine dihydrogen phosphate was prepared from crude wet-process phosphoric acid (WPA). The prepared samples were characterized by chemical analysis, potentiometric titration, thermal analysis, and X-ray diffraction to show good purity levels comparable to those of the standard samples. The obtained results indicate that the prepared salt could be a suitable source for the phosphate value to produce pure orthophosphates of alkali metals and other important monophosphates.
Droop Method Development for Microgrids Control Considering Higher Order Sliding Mode Control Approach and Feeder Impedance Variation

Due to the growing power demands in microgrids (MGs), the necessity for parallel production achieved from distributed generations (DGs) to supply the load required by customers has been increased. Since the DGs have to procure the demand in parallel mode, they are faced with several technical and economic challenges, such as preventing DGs overloading and not losing network stability considering feeder impedance variation. This paper presents a method that upgrades the droop controller based on sliding mode approach, so that DGs are able to prepare a suitable reactive power sharing without error even in more complex MGs. In the proposed strategy, the third-order sliding mode controller significantly reduces the V-Q error and increases the accuracy in adjusting the voltage at the DG output terminals. Various case studies conducted out in this paper validate the truthfulness of the proposed method, considering the stability analysis using Lyapunov function. Finally, by comparing the control parameters of the proposed technique with existing methods, the superiority, simplicity and effectiveness of the 3rd order sliding mode control (SMC) method are determined.
Experimental and Theoretical Studies of Inhibitive Behaviour of Millet Starch on the Corrosion of Aluminium in Sulphuric Acid Environment

The corrosion inhibition of aluminium in 2 M H2SO4 by millet starch was investigated using gravimetric technique at 35-65OC and theoretical quantum chemical computations. The results indicate that millet starch functioned as a good inhibitor for acid induced corrosion of aluminium. It was found that increase in inhibition efficiency of the inhibitor was concentration dependent and also addition of potassium iodide increased inhibitive performance of the inhibitor synergistically. Furthermore, the mode of adsorption process of the inhibitor was best modeled using Langmuir adsorption isotherm at all inhibitor concentrations and temperatures studied. The trend of inhibition efficiency with temperature, calculated values of free energy, activation energy and enthalpy of adsorption was used to propose the inhibition mechanism. Theoretical chemical quantum computations were carried out using density functional theory to underscore the relationship existing between the inhibitive performance of millet starch and electronic properties of millet starch. Finally, Molecular dynamic simulations were performed using Forcite quench molecular dynamics to model lowest energy adsorption configurations of the starch molecule on Al surface and to determine the binding energy of adsorption
Study on the application of LSTM-LightGBM Model in stock rise and fall prediction

This paper proposes a hybrid financial time series forecast model based on LSTM and LightGBM, namely LSTM_LightGBM model. Use the LightGBM model to train the processed stock historical data set, and save the training results. Then the opening price, closing price, highest price, lowest price, trading volume and adjusted closing price are separately input into the LSTM model for prediction. The prediction result of each attribute is used as the test set of the prediction after LightGBM training. Constantly adjust the parameters of each model, and finally get the optimal stock price forecast model. The model is validated with the rise and fall of AAPL stock. Through the comparison of evaluation index root mean square error RMSE, mean absolute error MAE, prediction accuracy Accuracy and f1_score. It is found that the LSTM_LightGBM model exhibits stable and better prediction performance in the stock prediction. That is to say, the LSTM_LightGBM model proposed in this paper is stable and feasible in the stock price fluctuation forecast.
Functional relationship between woody plants and insect communities in response to Bursaphelenchus xylophilus infestation in the Three Gorges Reservoir region

Abstract To study the effect of the invasion of Bursaphelenchus xylophilus on the functional relationship between woody plants and insect communities, the populations of tree species and insect communities were investigative in the Masson pine forests with different infestation durations of B. xylophilus. In this study, the number of Pinus massoniana began to decrease sharply, whereas the total number of other tree species in the arboreal layer increased gradually with the infestation duration of B. xylophilus. The principal component analysis ordination biplot shows that there was a significant change in the spatial distribution of woody plant species in different Masson pine forest stands. Additionally, a total of 7,188 insect specimens were obtained. The insect population showed an upward trend in stand types with the increase of pine wilt disease infection periods, which demonstrated that the insect community had been significantly affected by the invasion of B. xylophilus. However, the insect diversity indexes were not significantly different among Masson pine forest stands. The structure of insect functional groups changed from herbivorous (He) > omnivorous (Om) > predatory (Pr) > parasitic (Pa) > detritivorous (De) in the control stand to He > Pa > Om, De > Pr after B. xylophilus infestation in the forests. The results showed that the populations of He, Pa, and De increased after the invasion of B. xylophilus, but the populations of Pr decreased. Moreover, the redundancy analysis ordination biplots reflected the complicated functional relationship between woody plant communities and insects after the invasion of B. xylophilus. The present study provides insights into the changes in the community structure of woody plants and insects, as well as the functional relationship between woody plant communities and insect communities after invasion of B. xylophilus.
Obstacle avoidance and model‐free tracking control for home automation using bio‐inspired approach

This article proposes a control algorithm for obstacle avoidance and trajectory tracking for a redundant‐manipulator in smart‐homes. The redundancy provides dexterity and flexibility for the applications like picking, dropping, and transporting objects, tracking predefined paths while avoiding obstacles. The obstacle avoidance is one of the critical problems that need to be addressed. Our proposed algorithm, zeroing neural network with beetle antennae search (ZNNBAS), unifies these two problems into a single constrained optimization problem, which includes a penalty function to reward the optimizer on avoiding obstacles while tracking the reference trajectory. The penalty function is based on the principle of maximizing the minimum distance between the joints of the manipulator and the obstacles. Gilbert Johnson Keerthi (GJK) algorithm is used to calculate the distance between the manipulator and the obstacle as it uses the 3D geometry of the object and manipulator. To test the working of ZNNBAS, we simulated the model of the KUKA LBR robotic manipulator. We used two reference trajectories, that is, hypotrochoid and a character “M,” with an arbitrarily shaped obstacle. The simulation results show that ZNNBAS was able to trace the reference path while successfully avoiding the obstacle accurately.
Direct Harmonic Current Control Scheme for Dual Three-Phase PMSM Drive System

The performance of model predictive control mainly depends on the accuracy of model and parameters, such as the back electromotive force (EMF) harmonics in dual three-phase permanent magnet synchronous motors (PMSMs). However, the back EMF harmonics would vary with the operation conditions. Thus, the parameter mismatches in the harmonic subspace would be inevitable. In this article, a direct harmonic current control scheme is proposed to provide further harmonic current suppression under parameter mismatches in the xy subspace. First, deadbeat control concept is applied to calculate the reference voltage in the αβ subspace. This reference voltage vector is utilized to generate a group of control sets with different voltage vectors in the xy subspace. Then, a slide mode control scheme is provided to deal with the inaccurate parameters in the xy subspace. The reference voltage vector in the xy subspace is obtained with this slide mode control scheme without the remaining inductance parameters. Third, a two-step modulation method and cost function are discussed to further suppress the harmonic currents. The control sets generated by deadbeat control are optimized with the cost function. Moreover, a switching pattern with fixed switching frequency is proposed in this section. Finally, experimental results verify that proposed control scheme could further suppress the harmonic currents.