Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolution of Power System CIM to Digital Twins - A Comprehensive Review and Analysis

Common Information Model (CIM) is a well established open standard in the power systems domain due to its common shared vocabulary used to communicate messages between various applications. CIM needs to be extended as and when new business requirements arise. CIM has multiple utilisation in power system application ranging from developing an interoperable software application to a cyber-physical system. The latest power system digital twins' trend to establish smarter energy grids highlights new requirements for CIM utilisation. In this context, this paper presented a comprehensive understanding of advancements in CIM research in segments of power generation, transmission, distribution, electricity markets, and consumers. Further, paper discussed the role of digital twins in the emerging power systems.
Fabrication of a mechanical antireflection switch for fiber-to-the-home systems

We present the methods used to fabricate a micromechanical silicon optical modulator for use in a fiber-to-the-home applications. We emphasize the efforts made to realize a practical, robust, manufacturable, and easily packaged device. In addition, recent speed, temperature stability, and reliability results are presented. Rise and fall times of 132 and 125 ns, respectively, have been observed in response to a square wave drive signal. The device has been temperature cycled from -50/spl deg/C to 90/spl deg/C and shown greater than 10-dB optical contrast ratio over this temperature range. Finally, the device has been cycled at 500 kHz for a period of nearly two months (two-trillion cycles) without a noticeable loss in performance.
Simple LSI image acquisition system analysis

Our goal in this paper is to make a study about a simple optical images acquisition system. We focus our analyses to optoelectronic aspects using Fourier optics to compute PSF (point spread function) and MTF (modulation transfer function). We use an optical sensor and a CCD (charge coupled device) image sensor to make an image acquisition sensor. Optical sensor is made by a lens and image sensor has an appropriate pixel aperture dimension to reduce Nyquist frequency needed to eliminate alias in CCD image sensor. We compute the PSF and MTF for lens which has two aberration power and coma and for CCD image sensor optical part. We present an image at each checking point and we see how the original image is transformed as it propagates to optical and image sensors.
Sequential homotopy-based computation of multiple solutions for selected harmonic elimination in PWM inverters

The selected harmonic-elimination (HE) method, which is widely used for efficient inverter control, forms the basis of off-line digital PWM modulation techniques in the power electronics field. The method is based on numerical solutions of a set of selected HE equations which are often considered to be impractical to solve. Up to now, any effective method for this subject has not been reported. This paper proposes a systematic method which makes it possible to solve and analyze the equations sequentially by applying a homotopy method and a mathematical induction algorithm even if there are multiple solutions. According to the proposed method, unique HE solutions for single-phase cases and multiple solutions for three-phase cases are computed and reported.
Spontaneous Recovery of Circadian Organization in Mice Lacking a Core Component of the Molecular Clockwork

Circadian rhythms are generated by interlocked transcriptional-translational feedback loops of circadian clock genes and their protein products. Mice homozygous for a functional deletion in the Period-2 gene (Per2m/m mice) exhibit short free-running circadian periods and eventually lose behavioral circadian rhythmicity in constant darkness (DD). We investigated Per2m/m mice in DD for several months and identified a categorical sex difference in the dependence on Per2 for maintenance of circadian rhythms. Nearly all female Per2m/m mice became circadian arrhythmic in DD, whereas free-running rhythms persisted in 37% of males. Remarkably, with extended testing, Per2m/m mice did not remain arrhythmic in DD, but after varying intervals spontaneously recovered robust, free-running circadian rhythms, with periods shorter than those expressed prior to arrhythmia. Spontaneous recovery was strikingly sex-biased, occurring in 95% of females and 33% of males. Castration in adulthood resulted in male Per2m/m mice exhibiting female-like levels of arrhythmia in DD, but did not affect spontaneous recovery. The circadian pacemaker of many gonad-intact males, but not females, can persist in DD for long intervals without a functional PER2 protein; their circadian clocks may be in an unstable equilibrium, incapable of sustaining persistent coherent circadian organization, resulting in transient cycles of circadian organization and arrhythmia.
Left Atrial Dysfunction in Patients with Coronary Slow Flow

Coronary slow flow phenomenon (CSFP) is not an infrequent angiographic finding in patients scheduled for coronary angiography. The incidence varies from 1% to 5.5% [1-3], although some cardiologists believe it is often underrecognized, its incidence could be as high as 34% [4]. The CSFP was firstly described by Tambe in 1972 in 6 subjects presenting with chest pain syndromes [5], and now it attracted intensive attention among interventional cardiologists since its original description. The current adapted diagnostic criteria was proposed by John Beltrame in 2012 [6] where CSFP is defined as delayed distal vessel opacification of contrast in the absence of significant epicardial coronary stenosis (coronary artery stenosis ≤40%), with the Thrombolysis in Myocardial Infarction (TIMI) blood flow grade of 2 or corrected TIMI frame count (cTFC) of greater than 27 frames in one or more epicardial vessel. Currently, it’s believed that CSFP is not just a simple angiographic curiosity, it has significant implications in clinical setting. Its pathophysiological mechanism remains unclear, although several possible mechanisms were proposed. In this article, we will summarize the clinical implications, possible mechanisms, and the alteration of cardiac function, especially the changes of left atrial functions in patients with CSFP according to our research and existing literature. Our purpose is to provide further insight into its clinical significance and pathophysiological mechanisms.
Social and Spatio-Temporal Learning for Contextualized Next Points-of-Interest Prediction

Location-based recommendation tools assist users in discovering attractive Points-of-Interest (POIs). Next POIs recommendation is of great importance and benefit. In this paper, we propose an attention-CNN based network named Deep-POIs for next POIs prediction by modeling several features such as spatio-temporal, sequential, social and context features. In Deep-POIs model, users’ mobility behavior is modeled as images and then a CNN architecture is employed to capture the spatio-temporal patterns considering the social relations connecting users. An attention mechanism is then employed to extract the sequential features which are essential to describe the user behaviors. The model also integrates context feature extraction. We evaluate our model on two real location-based networks, Foursquare and Gowalla, and show that it significantly outperforms eight existing methods.
On the Performance of Hybrid RF/UWOC System

A hybrid radio frequency/underwater wireless optical communication (RF/UWOC) system is considered in this paper. UWOC link provides high data rate and secure communication for various underwater applications, i.e. climate monitoring, underwater explorations and disaster management making it suitable mode of communication and the RF link increases the reliability of the system. The proposed system leverage Selection Combining of the RF and UOWC, which are represented by Nakagami-m and Exponential Generalized Gamma (EGG) faded UOWC link, respectively. Air bubbles, salinity, and thermal fluctuations in the water causes underwater optical turbulence (UOT) affecting the communication system. In this work, the outage and error analyses of the considered hybrid RF/UWOC system is performed. The error performance for different modulation schemes is analysed for the hybrid system. The outage and the error performance is affected by the RF fading parameter, the air bubble concentration, the temperature gradient, and the salinity of the water source.
Differential acclimation responses to irradiance and temperature in two co-occurring seaweed species in Arctic fjords

The Arctic is characterized by a dynamic climate history, which has been marked by several glacial processes (Miller et al. 2009). The current warming process in the Arctic is two times higher than the global average, and this condition is strongly related to the increase in surface air temperature (He et al. 2019), also called Arctic Amplification (Serreze & Francis 2006; He et al. 2019). The Svalbard archipelago is currently considered as a model Abstract
Effect of anneal temperature on Si/buried oxide interface roughness of SIMOX

Examination of the interface roughness between the device silicon layer and the buried oxide of the SOI structure is an active area of materials research and development. In this work, we have used atomic force microscopy (AFM) to measure the interface roughness of SIMOX SOI substrates as a function of anneal parameters. This study has shown that the silicon/buried oxide interface roughness is a strong function of the post implant annealing temperature.
The Effect of Different Decision-Making Methods on Multi-Objective Optimisation of Predictive Torque Control Strategy

Abstract Today, a clear trend in electrification process has emerged in all areas to cope with carbon emissions. For this purpose, the widespread use of electric cars and wind energy conversion systems has increased the attention and importance of electric machines. To overcome limitations in mature control techniques, model predictive control (MPC) strategies have been proposed. Of these strategies, predictive torque control (PTC) has been well accepted in the control of electric machines. However, it suffers from the selection of weighting factors in the cost function. In this paper, the weighting factor associated with the flux error term is optimised by the non-dominated sorting genetic algorithm (NSGA-II) algorithm through torque and flux errors. The NSGA-II algorithm generates a set of optimal solutions called Pareto front solutions, and a possible solution must be selected from among the Pareto front solutions for use in the PTC strategy. Unlike the current literature, three decision-making methods are applied to the Pareto front solutions and the weighting factors selected by each method are tested under different operating conditions in terms of torque ripples, flux ripples, cur-rent harmonics and average switching frequencies. Finally, a decision-making method is recommended.
Autonomous Electric Vehicle Routing Problem using Ant Colony Optimization with consideration of the Battery State-of-Health

Freight transportation is evolving with the development of electric vehicle to carry out goods delivery rounds. In addition to the technological developments that make electric vehicles more and more suitable for long-distance traffic, the legislative framework also imposes these developments, such as the announced end of thermal vehicles in France in 2040. However, it is not possible to use an electric vehicle in the same way as an internal combustion vehicle. This technology impose to take into account the aging of the battery in order to define its use.
Evaluation of Changes to the Oral Microbiome Based on 16S rRNA Sequencing among Children Treated for Cancer

Simple Summary Childhood cancer survivors suffer from many oral complications during and after primary therapy. Our study focuses on changes in the oral microbiome of cancer survivors. Using 16S rRNA sequencing, we observed global and distinct changes in oral microbiome associated with a patient’s age and therapy duration, but not antibiotic therapy or cancer type. Observed changes in the oral microbiome could differentiate patients at higher risk of long-term oral complications. Abstract A child’s mouth is the gateway to many species of bacteria. Changes in the oral microbiome may affect the health of the entire body. The aim of the study was to evaluate the changes in the oral microbiome of childhood cancer survivors. Saliva samples before and after anti-cancer treatment were collected from 20 patients aged 6–18 years, diagnosed de novo with cancer in 2018–2019 (7 girls and 13 boys, 7.5–19 years old at the second time point). Bacterial DNA was extracted, and the microbial community profiles were assessed by 16S rRNA sequencing. The relative abundances of Cellulosilyticum and Tannerella genera were found to significantly change throughout therapy (p = 0.043 and p = 0.036, respectively). However, no differences in the alpha-diversity were observed (p = 0.817). The unsupervised classification revealed two clusters of patients: the first with significant changes in Campylobacter and Fusobacterium abundance, and the other with change in Neisseria. These two groups of patients differed in median age (10.25 vs. 16.16 years; p = 0.004) and the length of anti-cancer therapy (19 vs. 4 months; p = 0.003), but not cancer type or antibiotic treatment.
Nutritional status of elderly and its association with frailty among them

Background: Malnutrition among geriatrics remain undetected. The present study was conducted to assess the prevalence of malnutrition among geriatric outpatients and various factors associated with it.Methods: This cross-sectional study was done in Mamata medical college, Khammam, Telangana, in which we included geriatric patients (more than 60 years of age) who visited the outpatient clinic between January 2021 till March 2021. All study participants were evaluated for the following two domains of frailty: physical frailty and psychological frailty.Results: During the study period, we included 185 participants in the study. Based on mini nutritional assessment (MNA), 20% participants had normal nutrition, 55% were at risk of malnutrition and 25% had malnutrition. We observed that 59% of the participants with malnutrition were aged more than 80 years, 35% were smokers, 67% were living alone and 83% had comorbidities. It was observed that 67% and 57% of the study participants with malnutrition had impaired activities of daily living and impaired instrumental activities of daily living respectively. 54% of those malnutrition were depressed, which was significantly higher as compared to those with normal nutrition and those at risk of malnutrition (p value <0.05). Conclusions: The results of the present study demonstrate the nutritional status of geriatric outpatients is associated with physical as well as psychological frailty. Therefore, it is recommended that detailed nutritional assessment of patients of geriatric age groups should be conducted when they present in the outpatient clinic for any reason or complaint.
Active site-specific quantum tunneling of hACE2 receptor to assess its complexing poses with selective bioactive compounds in co-suppressing SARS-CoV-2 influx and subsequent cardiac injury

Objective: This research aims to study the target specificity of selective bioactive compounds in complexing with the human angiotensin-converting enzyme (hACE2) receptor to impede the severe acute respiratory syndrome coronavirus 2 influx mechanism resulting in cardiac injury and depending on the receptor’s active site properties and quantum tunneling. Materials and Methods: A library of 120 phytochemical ligands was prepared, from which 5 were selected considering their absorption, distribution, metabolism, and excretion (ADMET) and quantitative structure–activity relationship (QSAR) profiles. The protein active sites and belonging quantum tunnels were defined to conduct supramolecular docking of the aforementioned ligands. The hydrogen bond formation and hydrophobic interactions between the ligand–receptor complexes were studied following the molecular docking steps. A comprehensive molecular dynamic simulation (MDS) was conducted for each of the ligand–receptor complexes to figure out the values – root mean square deviation (RMSD) (Å), root mean square fluctuation (RMSF) (Å), H-bonds, Cα, solvent accessible surface area (SASA) (Å2), molecular surface area (MolSA) (Å2), Rg (nm), and polar surface area (PSA) (Å). Finally, computational programming and algorithms were used to interpret the dynamic simulation outputs into their graphical quantitative forms. Results: ADMET and QSAR profiles revealed that the most active candidates from the library to be used were apigenin, isovitexin, piperolactam A, and quercetin as test ligands, whereas serpentine as the control. Based on the binding affinities of supramolecular docking and the parameters of molecular dynamic simulation, the strength of the test ligands can be classified as isovitexin > quercetin > piperolactam A > apigenin when complexed with the hACE2 receptor. Surprisingly, serpentine showed lower affinity (−8.6 kcal/mol) than that of isovitexin (−9.9 kcal/mol) and quercetin (−8.9 kcal/mol). The MDS analysis revealed all ligands except isovitexin having a value lower than 2.5 Ǻ. All the test ligands exhibited acceptable fluctuation ranges of RMSD (Å), RMSF (Å), H-bonds, Cα, SASA (Å2), MolSA (Å2), Rg (nm), and PSA (Å) values. Conclusion: Considering each of the parameters of molecular optimization, docking, and dynamic simulation interventions, all of the test ligands can be suggested as potential targeted drugs in blocking the hACE2 receptor.
Non-linear dynamic analysis of cantilever whipping pipes

Abstract This paper presents the results of numerical dynamic analyses of a number of pipe whip problems based on non-linear shell theory using the DYNA3D (version 6.0) finite element code. The calculations are mainly concerned with the transient deformation of the pipes during the whipping process. The main purpose of the study is to check the efficacy of a recently published theoretical elastic-plastic, hardening-softening (e-p-h-s) model for pipe whip developed by Reid et al. [1, 2]. This model is based upon beam theory but allows for the effects of ovalization of the pipe cross-section on the moment-curvature constitutive behaviour of the pipe. It is shown that the results using DYNA3D are in good agreement with both experimental data and the e-p-h-s model predictions and confirms the accuracy of the latter. While the DYNA3D study is not exhaustive, the localized shell bending deformation of whipping pipes in which ‘kinks’ are formed is reproduced with reasonable accuracy and it has permitted the effect of the strain-rate sensitivity of the yield stress of the pipe material to be examined in a preliminary manner.
A Novel SVM-Based Method for Seismic First-Arrival Detecting

First arrivals detecting on seismic record is important at all times. A novel support vector machine (SVM)-based method for seismic first-arrival pickup is proposed in this research. Firstly, the multi-resolution wavelet decomposition is used to de-noise the seismic record. And then, feature vectors are extracted from the denoise data. Finally, both SVM and artificial neural network (ANN) models are employed to train and predict the feature vectors. Experimental results demonstrate that the SVM model gives better accuracy than the ANN model. It is promising that the novel method is very prospective.
Ionization Radiation Shielding Effectiveness of Lead Acetate, Lead Nitrate, and Bismuth Nitrate-Doped Zinc Oxide Nanorods Thin Films: A Comparative Evaluation

The fabrication of Nano-based shielding materials is an advancing research area in material sciences and nanotechnology. Although bulky lead-based products remain the primary choice for radiation protection, environmental disadvantages and high toxicity limit their potentials, necessitating less costly, compatible, eco-friendly, and light-weight alternatives. The theme of the presented investigation is to compare the ionization radiation shielding potentialities of the lead acetate (LA), lead nitrate (LN), and bismuth nitrate (BN)-doped zinc oxide nanorods-based thin films (ZONRs-TFs) produced via the chemical bath deposition (CBD) technique. The impact of the selected materials’ doping content on morphological and structural properties of ZONRs-TF was investigated. The X-ray diffractometer (XRD) analyses of both undoped and doped TFs revealed the existence of hexagonal quartzite crystal structures. The composition analysis by energy dispersive (EDX) detected the corrected elemental compositions of the deposited films. Field emission scanning electronic microscope (FESEM) images of the TFs showed highly porous and irregular surface morphologies of the randomly aligned NRs with cracks and voids. The undoped and 2 wt. % BN-doped TFs showed the smallest and largest grain size of 10.44 nm and 38.98 nm, respectively. The linear attenuation coefficient (µ) values of all the optimally doped ZONRs-TFs measured against the X-ray photon irradiation disclosed their excrement shielding potency. The measured µ values of the ZONRs-TFs displayed the trend of 1 wt. % LA-doped TF > 1 wt. % LN-doped TF > 3 wt. % BN-doped TF > undoped TFs). The values of μ of the ZONRs-TFs can be customized by adjusting the doping contents, which in turn controls the thickness and morphology of the TFs. In short, the proposed new types of the LA-, LN- and BN-doped ZONRs-TFs may contribute towards the development of the prospective ionization radiation shielding materials.
Seismic response of multi-drum classical columns of Apollo Temple at Claros

This paper presents a small scale experiment investigation on the seismic response of multi drum classical columns. The model of a 1:10 scale replica of a multi drum column of the Temple of Apollo at Claros in Turkiye was analyzed with MSC Marc Mentat software and tested by shaking table applying several earthquake motions and harmonic excitation. In the experimental study, the base motions were applied only in horizontal direction. Experimental results indicated that small scale multi drum models were capable to make large deformations without collapse due to lead poles between drums. The responses of the test model were also compared with the computer-simulation results. This comparison and the overall evaluation of the results obtained throughout the study showed that the results were compatible, effect of the poles between drums was considerably high and any application that increased the frictional force between drums increased the rigidity and linearity of the columns. Observations and the results may indicate a safe way to rebuild the ancient classical structures and to protect afterwards.
A W-band high-power predistorted direct-conversion digital modulator for transmitter applications

This letter presents a W-band high-power direct-conversion transmitter using digital predistortion techniques for digital modulation applications. The transmitter is a direct-conversion configuration that employs a reflection-type IQ modulator module and a power amplifier module. With the predistortion function in digital signal processing (DSP), this transmitter demonstrated an output channel power of greater than 19 dBm, and the adjacent channel power ratio (ACPR) was improved by 10 and 18 dB for QPSK and /spl pi//4-DQPSK modulation, respectively. To the best of our knowledge, this is the first demonstration of linearization techniques for W-band high-power digital modulation transmitters.