Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comprehensive Review on Flywheel Energy Storage Systems: Survey on Electrical Machines, Power Electronics Converters, and Control Systems

Finding efficient and satisfactory energy storage systems (ESSs) is one of the main concerns in the industry. Flywheel energy storage system (FESS) is one of the most satisfactory energy storage which has lots of advantages such as high efficiency, long lifetime, scalability, high power density, fast dynamic, deep charging, and discharging capability. The above features are necessary for electric vehicles (EVs), railways, renewable energy systems, and microgrids. Also, electrical machines, power electronics converters, and control systems are the cores of energy transfer in FESS. Therefore, they have a critical role in determining efficiency, power rating, power factor, cost, angular velocity, and volume of FESS. So, in this study, the FESS configuration, including the flywheel (rotor), electrical machine, power electronics converter, control system, and bearing are reviewed, individually and comprehensively. Additionally, the mentioned components have been categorized to be a guide for future research. The investigated electrical machines are compared by Finite Element Analysis (FEA). Subsequently, our laboratory’s measurement results are reviewed experimentally showing the progress in the field of FESS, such as designing robust control algorithms and an Interior Permanent Magnet-Synchronous Reluctance Machine (IPM-SynRM) to use in FESS.
Automated classification of age-related macular degeneration from optical coherence tomography images using deep learning approach

Early detection of macular diseases can prevent vision loss. Manual screening can be unreliable due to the similarity in the pathological presentations of common retinal illnesses like age-related macular degeneration (AMD). Researchers are becoming more interested in the accurate automated computer-based detection of macular diseases. Using healthy optical coherence tomography (OCT) images, the drusens (early stage) and choroidal neovascularization (CNV) (late stage) of AMD are thus classified using a completely different approach in this paper. The new deep learning (DL) model is proposed for multiple OCT image segmentation of ophthalmological diseases using attention-based nested U-Net (ANU-Net). The flower pollination optimization algorithm (FPOA) is used to optimize the hyperparameters of the network. The SqueezeNet-based classification can be made in the pre-processed images. A dataset from the University of California San Diego (UCSD) is used to evaluate the proposed method. 98.7% accuracy, 99.8% specificity, and 99.7% sensitivity are achieved by the proposed method. The proposed method produces better identification results for automated preliminary diagnosis of macular diseases in hospitals and eye clinics due to the positive classification results.
Gout, Hyperuricemia and Crystal-Associated Disease Network (G-CAN) consensus statement regarding labels and definitions for disease elements in gout

Objective— The language currently used to describe gout lacks standardisation. The aim of this project was to develop a consensus statement on the labels and definitions used to describe the basic disease elements of gout. Methods— Experts in gout (n=130) were invited to participate in a Delphi exercise and face-to-face consensus meeting to reach consensus on the labelling and definitions for the basic disease elements of gout. Disease elements and labels in current use were derived from a content analysis of the contemporary medical literature, and the results of this analysis were used for item selection in the Delphi exercise and face-to-face consensus meeting. Results— There were 51 respondents to the Delphi exercise and 30 attendees at the face-to-face meeting. Consensus agreement (≥80%) was achieved for the labels of eight disease elements through the Delphi exercise; the remaining three labels reached consensus agreement through the face-to-face consensus meeting. The agreed labels were: monosodium urate crystals, urate, hyperuric(a)emia, tophus, subcutaneous tophus, gout flare, intercritical gout, chronic gouty arthritis, imaging evidence of monosodium urate crystal deposition, gouty bone erosion and podagra. The face-to-face meeting achieved consensus agreement for the definitions of all 11 elements and a recommendation that the label ‘chronic gout’ should not be used. Conclusion— Consensus agreement was achieved for the labels and definitions of 11 elements representing the fundamental components of gout aetiology, pathophysiology and clinical presentation. The Gout, Hyperuricemia and Crystal-Associated Disease Network (G-CAN) recommends the use of these labels when describing the basic disease elements of gout.
A comparative analysis of construction and oil and gas industry’s health and safety practises in Nigeria

PurposeDespite the contributions of both the oil and gas and construction industries to the gross domestic product (GDP) of the country, both industries are still marred by incessant accidents. Therefore, the aim of this study is to compare the health and safety practises of the construction and oil and gas industries in Nigeria in order to suggest the best approach to health and safety practices.Design/methodology/approachA survey questionnaire was developed and administered to professionals working in the construction and oil and gas industries. Data were analysed using the relative importance index (RII). An independent sample t-test was also conducted to determine whether there was a significant difference in the construction and oil and gas industries.FindingsThe study revealed that the rate at which health and safety are practised in the oil and gas industry is comparatively high compared to how they are practised in the construction industry. Proper site layout and planning, provision of a safe working environment, proper health and safety risk assessment were more predominantly practised in the oil and gas industry, while proper site layout and planning, disallowing unauthorised entry into site and the provision of a safe working environment were predominantly practised in the construction industry.Originality/valueThis study is the first to compare the health and safety practises of the construction and oil and gas industries in Nigeria. This study was significant because it would provide insight into construction and oil and gas managers, as well as other decision-makers in both industries, on how to improve health and safety practices.
Colloidal silicon quantum dots: from preparation to the modification of self-assembled monolayers for bioimaging and sensing applications

In this paper we present recent advances in Förster resonance energy transfer (FRET) sensing and bioimaging using nontoxic silicon quantum dots. (SiQDs) In our work, we prepare SiQDs-dye conjugates, with SiQDs serving as the donor which are covalently attached to organic dye acceptors via self-assembled monolayer linkers. Enzymatic cleavage of the peptide leads to changes in FRET response which was monitored using fluorescence lifetime imaging microscopy (FLIM-FRET). The combination of interfacial design and optical imaging presented in this work opens new opportunities for bio-applications using nontoxic silicon quantum dots.
BUDGETING OF BIOMASS AND CARBON STOCK AS ECOSYSTEM SERVICE FROM HIMALAYAN DRY TEMPERATE AND ALPINE FOREST ECOSYSTEM, INDIA

The aim of the present investigation was to scrutinize the production of biomass and C storage budgeting that varies in diverse forest types of Himalayan dry-temperate and alpine forest ecosystem, India. Dry-temperate and alpine forest ecosystem is classified into nine forest types viz . , 13C 1 -Dry broad-leaved and coniferous forests (DBCF), 13C 2 a-Neoza pine forest (NPF), 13C 2 b-Dry deodar forest (DDF), 13C 3 - West Himalayan high level dry bluepine forest (DBF), 14C 1 a-West Himalayan sub-alpine birch forest (SBF), 14C 1 b-West Himalayan sub-alpine fir forest (SFF), 15C 1 - Birch-rhododendron scrub forest (BSF), 15C 3 -Alpine pasture (AP) and 16C 1 -Dry alpine scrub (DAS). Vegetative biomass (trees, shrubs and herbs) was ranged from 0.29 in AP to 252.24 t ha -1 in DDF. Total detritus biomass varied significantly among these forest types with maximum in BSF (5.99 t ha -1 ) and minimum in DAS (0.11 t ha -1 ). However, total detritus C density was recorded highest in BSF (3.00 t C ha -1 ) and lowest in DAS (0.06 t C ha -1 ). Among forest types total soil C density (humus + soil) varied significantly in 0-40 cm layer. BSF showed maximum C density (130.39 t C ha -1 ), while minimum was recorded in DAS (37.73 t C ha -1 . Total ecosystem C density (vegetation + soil + detritus) among forest types displayed highest value for DDF (212.21 t C ha -1 ), whereas minimum value (38.43 t C ha -1 ) for DAS. Hence, this investigation suggests that in dry-temperate and alpine forest ecosystem, DDF should be encouraged for augmentation of biomass and C stock in Indian Himalaya.
Computational and Experimental Determination of the R-Helix Unfolding Reaction Coordinate †

We demonstrate a calculated R-helix peptide folding energy landscape which accurately simulates the first experimentally measured R-helix melting energy landscape. We examine a 21-amino acid, mainly polyalanine peptide and calculate the free energy along the Ψ Ramachandran angle secondary folding coordinate. The experimental free energy landscape was determined using UV resonance Raman spectroscopy. The relative free energy values are very close as are the equilibrium peptide conformations. We find 2.3 kcal/mol activation barriers between the R-helix-like and PPII-like basins. We also find that the R-helix-like conformations are quite defective and the R-helix-like structure dynamically samples 310-helix and π-bulges. A detailed understanding of the mechanism(s) of protein folding requires elucidation of the reaction coordinate for the process (1-4). The multidimensionality of this process suggests that, at present, it is almost a hopeless task to develop insight into the mechanism. However, the previous successes of the scientific reductionist approach to developing insight into complex problems offers encouragement to the community of scientists studying protein folding. Probably the most important reaction coordinate for protein folding directs the formation of secondary structure. The obvious coordinates for this structural evolution are the Ramachan- dran ψ andangles. Because the most important secondary structure motifs (folded and unfolded) have widely differing ψ angles but similarangles it is probably most important to monitor the ψ angle coordinate. Recently, we developed a spectroscopic method to deter- mine the value of the peptide bond ψ angle (5-8). This novel method directly correlates the frequency of the AmIII3 vibration enhanced in the resonance Raman spectra to the ψ angle value of a particular peptide bond. The ψ angle distribution can then be related to the free energy. The AmIII3 frequencies of a mainly ala, 21-residue peptide known as AP were monitored by using UV Raman excitation at ∼200 nm exciting within the amide π f π* electronic transitions. It was found that the energy landscape along the ψ angle coordinate has modest barriers between the R-helix-like conformations and the melted PPII-like and turn conforma- tions. Indeed, the R-helix-like basin is broad and contains significant populations of defects such as 310 and π-bulges. These Raman studies were the first to experimentally determine folding energy landscapes and activation barriers; it is essential to test these experimental results to see if they can function as benchmarks for theoretical calculations that model folding. Thus, in this paper we examine a molecular dynamics simulation of R-helical melting for AP. AP is mainly R-helical at 273 K and melts fully to a PPII-like conformation as the temperature increases to 323 K. AP is an ideal model for our testing purpose due to the extensive experimental (9-13) and computational (14-17)
SOLUTION OF A GENERAL FAMILY OF FRACTIONAL KINETIC EQUATIONS ASSOCIATED WITH THE GENERALIZED MITTAG-LEFFLER FUNCTION

Fractional kinetic equations are investigated in order to describe the various phenomena governed by anomalous reaction in dynamical systems with chaotic motion. Many authors have provided solutions of various families of fractional kinetic equations involving such special functions as (for example) a generalized Bessel function of the first kind [18] and the Aleph function [6]. Here, in this paper, we aim at presenting solution of a certain general family of fractional kinetic equations associated with the generalized Mittag- Leffler function. It is also shown that the result presented here includes, as its special cases, solutions of many fractional kinetic equations which were investigated in earlier works. In our investigation, we have found it to be more convenient to use (and the closed-form results derived here appear to be considerably simpler by using) the Sumudu transform instead of the classical Laplace transform.
Mapping the Asymmetries of Graduate Programs in Brazil: Modeling, Visualization and Reporting of Estimates

The graduate programs in Brazil have shown numerical growth and its evaluation system is approved by the national and international academic community. However, even with the growth and improvement of Brazilian graduate programs, the country has continental dimensions and coexists with regional asymmetries. Additionally, until nowadays has not been presented a comprehensive study on the variations in the distribution and growth of graduation programs by small geographic regions in Brazil. This study consists of a graduate program mapping by mesoregions, and the meta-model elaborated here aims to map the existing asymmetries in Education in the country to respond to scientific and technological development.
Systemic Capillary Leak Syndrome as a Rare, Potentially Fatal Complication of COVID-19: A Case Report and Literature Review

Systemic capillary leak syndrome (SCLS), also known as Clarkson’s disease, is a rare and potentially lethal condition characterized by hypotension, hemoconcentration, and hypoalbuminemia; however, the cause of SCLS is still uncertain. We present the case of a 62-year-old male with flu-like symptoms who presented to the emergency department with shock. Initial evaluation revealed hemoconcentration, hypoalbuminemia, acute kidney failure, and positive polymerase chain reaction (PCR) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite aggressive fluid resuscitation, the shock persisted, and the patient’s condition deteriorated. After ruling out ischemia and septic shock, the patient was diagnosed with coronavirus disease 2019 (COVID-19)-associated SCLS. Treatment with remdesivir and intravenous immunoglobulin (IVIG), along with the restoration of intravascular volume, led to the gradual improvement of the patient’s condition. The patient experienced pulmonary edema, which was managed by correcting the fluid balance through continuous hemodiafiltration. Eventually, the patient recovered without any residual organ complications. SCLS is often misdiagnosed because of its rarity and non-specific symptoms. Accurate diagnosis and understanding of the disease’s pathophysiology are crucial for effective management. This report contributes to the existing literature by presenting a case of COVID-19-associated SCLS and emphasizes the need for further research on its occurrence and outcomes.
Analysis of Alpha Rhythm Electroencephalogram Based on Inner Composition Alignment Algorithm

To research on brain function network, we must firstly figure out the structure of the brain. Brain connection diagram can be drawn up on the levels of macro and microscopic scale. This paper applied inner composition alignment (iota) algorithm to construct alpha rhythm brain functional network and visualize the network topology and analysis and the difference between the old and young’s brain functional connectivity. The results show that clustering coefficient of the old brain network obviously differs from the young by calculating t testing with spss software, which proved that clustering coefficient of the old alpha rhythm, differs from the young.
Perbandingan Berbagai Model Conditionally Heteroscedastic Time Series Dalam Analisis Risiko Investasi Saham Syariah Dengan Metode Value At Risk

Value at Risk (VaR) is one of the tools recommended Bank Indonesia to gauge the risk of an investment, the VaR approach tends to be more associated with the conventional assumption of a normal distribution, while contemporary empirical findings indicate the existence of patterns of abnormality in the nature of statistical data, especially on financial data. Up to this time shares in the Jakarta Islamic Index (JII) is still heavily influenced by the dynamics of market volatility which one, so the necessary in-depth analysis to help investors make the right decisions in investing. This research addresses the issue of risk analysis model using the VaR approach using a variety of model Heterokedastic Timeseris Conditionals (CHT) and find the best model. As for the data used is the daily closing stock index data-Sharia stocks (JII) post-crisis global 2008 (January 2009 – June 2011) and the software used is E-Views 5.1 and Excel 2007. The results obtained are of 16 (sixteen) model approach to VaR-CHT used, only 5 (five) a valid model on a confidence level of 99%, i.e. Approach (2.2) GARCH, GARCH M standard deviation GARCH (1,1), M Log (Variansi) (1,1), TARCH M Log (Variansi) (1,1), EGARCH and M Log (Variansi) (1,1). The VaR Model of the CHT are the best and recommended in analyzing the risks of stock investment is Shariah (JII) is a model that gives the value of the VaR model, i.e. the smallest VaR GARCH-M standard deviation (1,1) that gives the value of VaR is equal to 3.2396%.
Arrangement of control points for sound spot generation in the multi-point control method

In this research, we considered control point arrangement by using small-scale linear loudspeaker array. The multi-point control method is proposed for sound reproduction in a limited area/direction. This method is based on boundary surface control principle. The desired signal is reproduced in the target point by the sound pressure control in the control points. According to the MINT (multiple-input/output theorem), the signal is reproduced with accuracy in the target point if the number of sound sources more than the number of control points exists. However, a lot of speakers make it difficult to use in real environment. Therefore, small-scale loudspeaker array is preferable. If the number of control points is greater than the number of sound sources, the filter coefficient is approximated by the least squares-method. This approximation affects the sound pressure suppression and sound quality depending on the arrangement of control point. We examined the number of control points arranged. The input sign.
A Control Architecture for Time‐Optimal Landing of a Quadrotor Onto a Moving Platform

We address the problem of autonomous landing of a quadrotor onto a heaving (moving vertically) platform in this paper. A control architecture that consists of a motion estimation module, a trajectory generation module and a tracking control module is proposed. The motion estimation module estimates the absolute motion of the platform and the quadrotor with the measurements from an on‐board accelerometer and vision measurements. Based on these estimates, the trajectory generation module generates a time‐optimal reference trajectory. With the reference trajectory and motion estimation, the tracking control module synthesizes a control command that enables robust tracking of the reference trajectory. Experimental results and comparison with a state‐of‐the‐art landing controller demonstrate the effectiveness of the proposed control architecture.
Nucleation for a long range magnetic model

We are interested in a local mean-field Ising model on the torus which exhibits two stable equilibria at low temperature and in the limit of infinite number of particles. Using large deviations techniques, we analyse the behaviour of the system during dynamical transitions from one equilibrium to the other: it is shown to be crucially dependent on the temperature and the interaction structure; symmetry breaking may occur, as in the asymptotic behaviour of the Gibbs measure. Mean-field, ising model, large deviations, nucleation. RESUME. On considere un modele d’Ising de champ moyen local sur le tore, qui presente deux etats d’equilibre stable, dans l’asymptotique d’un nombre infini d’aimants et a temperature suffisamment basse. A l’aide de techniques de grandes deviations, on decrit Ie comportement du systeme lors des transitions dynamiques d’un de ces equilibres a l’autre : il depend crucialement de la temperature ainsi que de la structure fine des interactions, et peut presenter une brisure de symetrie analogue a celle de la mesure de Gibbs.
BRUCHIDS INFESTATION ON SEEDS OF SOME FOREST TREES.

Ajay Singh, Shiwani Bhatnagar, Sangeeta Singh and Parveen Goran. 1. Lachoo Memorial College of Science and Technology Shastri Nagar, Jodhpur. 2. Forest Protection Division, Arid Forest Research Institute, New Pali Raod, Jodhpur. Manuscript Info Abstract . Manuscript History
High-dimensional Convolutional Networks for Geometric Pattern Recognition Supplementary Materials

In this section, we provide detailed experimental setup of the linear pattern recognition experiments. For the line detection, we first sample random noise uniformly from a hypercube with side length L = 1.5. We also translate the hypercube randomly in the interval -2 to 2. We sample dnL D points for noise where dn is the noise density per unit volume and D is the dimension of the space. To generate points on a line, we first sample parameters of the line equation tv + c. The slope v ∈ R is sampled uniformly from a unit hypercube centered at the origin and the bias (intercept) c ∈ R is also sampled from the unit hypercube, but we perturb c differently during training and testing: during training, we add 1 √ D to the first element of c; during testing, we add 1 √ D to the second and third elements of c. It slightly changes the distribution of lines sampled during training and testing to simulate unseen data during testing. Next, we sample dlL √ D points, proportional to the diagonal length of the D-dimensional hypercube, with Gaussian noise with a standard deviation of 0.001L where dl is the line density.
UNDERSTANDING FLOW CHARACTERISTICS OF SWIMMING SQUID USING 2D AXISYMMETRIC NUMERICAL MODEL

Squids in nature generate pulsed jet to be able to move by expelling high pressure water through funnel in a short period of time. In this study, unsteady jet flow of squids was investigated during its fast swimming phase. Numerical model has been generated from a real squid’s computer tomography images. 2D axisymmetric jet flow has been simulated by using dynamic mesh to mimic the motion of squid’s mantle cavity wall. Specifically, diameter of the squid’s mantle cavity decreases from 13 cm to 4 cm and a periodic sine velocity profile has been defined for squid’s mantle cavity wall. Besides, the funnel of squid seems to be a 3 cm long nozzle which has about 3 cm and 0.5 cm diameters at the inlet and outlet, respectively. Physical behaviors of jet flow has been investigated to be able to calculate change of ejected fluid’s momentum and flow energy in this study