Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-Frequency Analysis of the Pri Modulated and Frequency Hopping Radar Signals Using Spectrogram

Electronic warfare (EW) is drawing more attention in recent years. This is due to the dependency on electronic communication by both civilian and military worldwide. Despite all the measures to secure electronic communication, hostile parties such as terrorist groups, religious sects and multi-national corporations attack electronic communication. This paper proposes a set of algorithms to efficiently analyse the pulse width (PW), pulse repetition interval (PRI) and center frequency of radar signals. The aim is to use these accurately determined time and frequency parameters to determine capability of the emitted electromagnetic radar wave. The method involve the use of spectrogram time-frequency distribution (TFD) and other related statistical signal processing tools such as Hilbert transform and instantaneous frequency to process these radar signals using the MATLAB. The validation using the Monte Carlo simulation shows that probability of correct parameter estimation (POCPE) of 100% was achieved at signal to noise ratio (SNR) greater than (or equal to) -11dB and -1dB for time-based and frequency-based parameters respectively. The results obtained also show the method developed is efficient for signal analysis in the field of EW.
Density Function Theory and Hartree-Fock Study on the Electronic Structure of β-Sitosterol

In this study, a comparative Density Functional Theory (DFT) and Hartree- Fock (HF) calculations were preformed to understand the dynamic behaviour and bioactivity of β-Sitosterol (beta-Sitosterol) to gain insights about its electronic structural properties, and reactivity. This research article deals with theoretical study of structural and electronic properties such as Highest Occupied Molecular Orbitals (HOMO) and Lowest Unoccupied Molecular Orbitals (LUMO), molecular structure, energy surfaces, orbital energies, energy gap, electron affinity, ionization potential, vibrational spectra, of β-Sitosterol; a well-known natural product from medicinal plants. HOMO, LUMO of β-Sitosterol were generated and interpreted with Density Functional Theory (DFT) and Hartree-Fock (HF) calculations following full structure optimization. HOMO, LUMO generated with DFT and HF calculations were compared and a detailed visualization of orbitals and their energies were presented. Contour plots and energy maps were also generated, analyzed and interpreted for potential activity. The similarities and differences between the DFT and HF calculations for β-Sitosterol were studied and highlighted. Thermodynamic calculations were performed with the DFT methods using B3LYP/6-31G: PM3 level of theory.
University of Birmingham Resolution of the Oberwolfach problem

The Oberwolfach problem, posed by Ringel in 1967, asks for a decomposition of K 2 n +1 into edge-disjoint copies of a given 2-factor. We show that this can be achieved for all large n . We actually prove a signiﬁcantly more general result, which allows for decompositions into more general types of factors. In particular, this also resolves the Hamilton-Waterloo problem for large n .
PRBM_A_277435 1123..1134

Research Centre of Brain Function and Psychological Science; Center for Language and Brain, Shenzhen Institute of Neuroscience; Shenzhen Key Laboratory of Affective and Social Cognitive Science, School of Psychology, Shenzhen University, Shenzhen, 518060, People’s Republic of China; Exercise and Mental Health Laboratory, School of Psychology, Shenzhen University, Shenzhen 518060, People’s Republic of China; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, People’s Republic of China; Institute for Health and Sport, Victoria University, Melbourne, VIC, 8001, Australia; Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, UK; Department of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University, College Station, TX 77843, USA; Metabolism, Nutrition, and Exercise Laboratory, Londrina State University, Londrina, Paraná 86010-580, Brazil; Superior School of Physical Education, University of Pernambuco, Recife, PE, Brazil; Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo 90100, Italy; Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, New Territories 999077, Hong Kong; Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, 1090 Wien, Austria; The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge CB1 1PT, UK; Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA 02114, USA
OVERVIEW OF DENGUE FEVER SYMPTOMS, AND PREVENTION IN CHILDREN

: This review highlights the current understanding of dengue in children, including its clinical manifestations, diagnostic tests, management and prevention. We searched five databases (PubMed, EMBASE) to identify studies concerning dengue fever symptoms, and prevention in children published through, 2018. Dengue is accountable for considerable morbidity and death in children residing in tropical and subtropical regions and in kids visiting friends and family members living in these regions. Health problem can arise from infection with any of the 4 dengue virus serotypes and arrays from mild fever to possibly fatal dengue shock disorder. Babies with primary dengue infections whose mothers have some immunity versus dengue and youngsters that end up being infected with a 2nd dengue serotype after a preliminary primary dengue infection are at high threat for severe dengue. The widely accepted explanation for the development of severe illness is the antibody-dependent improvement design, which suggests that cross-reactive non-neutralizing antibodies increase viral infectivity. However, recent study into devices liable for the development of extreme dengue obstacle the antibody-dependent enhancement concept.
Deception improves TT performance in well-trained cyclists without augmented fatigue

Purpose: To investigate the effects of feedback, in the form of a virtual avatar paced at 100 and 102% of baseline performance, on neuromuscular fatigue following a 4 km cycling time trial (TT). We hypothesised that improved cycling performance would occur due to participants exceeding a previously established critical threshold, and experiencing greater neuromuscular fatigue. Methods: Following familiarisation, ten well-trained cyclists performed a baseline 4 km TT without feedback (BASE), followed by two, 4 km TT where they raced against an avatar (set at 100% [accurate ACC] and 102% [deception DEC] of baseline power output), in a randomised and counterbalanced order. Before and after each TT, neuromuscular fatigue was assessed using maximal isometric voluntary contractions (MVC) of the quadriceps, and supramaximal electrical stimulation of the femoral nerve, during and 2 s after MVCs to assess voluntary activation and potentiated twitch force. Blood lactate was taken preand post-trials and rating of perceived exertion (RPE) was taken throughout each TT. Results: TT performance improved following deception of feedback compared to baseline performance (−5.8 s, P = 0.019). Blood lactate increased following DEC compared to BASE (+1.37 mmol·L, P = 0.019). Despite this, there was no difference in any measures of exercise-induced neuromuscular fatigue (P > 0.05). Similarly, RPE was not different between trials. Conclusion: Welltrained male cyclists can improve cycling TT performance when competing against an avatar increased to 102% of a previously established best effort. However, this improvement is not associated with a measurable augmentation of neuromuscular fatigue.
A User Study on the Capability of Three Geo-Based Features in Analyzing and Locating Trajectories

Visual analysis is widely applied to study human mobility due to the ability of integrating contextual information from multiple data sources. Analyzing trajectory data through visualization improves the efficiency and accuracy of the analysis, yet it may induce exposure of the location privacy. To balance the location privacy and analysis effectiveness, this work focuses on the behaviors of different geo-based contexts in the process of trajectory interpretation. Three types of geo-based contexts are identified after surveying 94 related literatures. We further conduct experiments to investigate their capability by evaluating how they benefit the analysis, and whether they lead to location privacy exposure. Finally, we report and discuss interesting findings, and provide guidelines to the design of privacy-preserving analysis approaches for human periodic trajectories.
Impact of Loading Protocol on the Performance of the Steel Moment Frame Connections

Today, for the moment frame structures, seismic provisions of the structural engineering design codes depend on the inelastic deformation as well as inelastic capacity of the connections. A cyclic loading protocol is normally exercised for measuring such capability. This paper investigates the deformation capacity of steel moment resisting frame’s connections subjected to different loading protocols. To evaluate the performance of the connections subjected to various cyclic loads, behavior of three types of connections is studied. Behavior and capacity of each connection are assessed subjected to different loading protocols; namely ATC, FEMA and SAC. The results from this research indicate that the ATC and FEMA loading make greater demands on the connections; while SAC basic loading shows a better agreement with the target values of the loading protocol. A loading protocol has been developed taking some criteria into account in order to match the target values presented in SAC study for steel moment connection’s bam to column sub-assemblies. Then the connections were subjected once again to the proposed loading protocol and results compared to those of other loading protocols. The results reveal that the connections subjected to the proposed loading protocol provide greater deformation and strength capacity. Also, lower equivalent plastic strain and lower dissipated energy were observed when the connection is subjected to the proposed loading protocol.
Distributed Resource Allocation In 5g Networks With Multi-Agent Reinforcement Learning

In this paper, we propose using Multi-agent Reinforcement Learning (MARL) for distributed resource allocation in 5G networks. We consider the case where the resource allocation is performed by each User Equipment (UE). The goal will be to learn a joint policy that can be executed by the UEs in a distributed manner. Such policy can achieve a minimum data rate for each user and maximize the sum rate of the users in the network. We consider two different MARL paradigms, namely, Independent Learners (ILs) and Value Function Factorization (VFF). In the latter, we adopt the QTRAN algorithm, which is a value function decomposition-based algorithm that is categorized under the Centralized Training with Distributed Execution (CTDE) regime. Results show that MARL algorithms can be used to learn a joint policy that can be used by UEs for distributed resource allocation.
Image restoration via nonlocal Mumford-Shah regularizers

We wish to recover an image corrupted by blur and Gaussian or impulse noise in a variational framework. We use two data-ﬁdelity terms depending on the type of noise, and several local and nonlocal reg-ularizers. Inspired by Buades, Coll, Morel and Gilboa-Osher, we propose nonlocal versions of the Ambrosio-Tortorelli and Shah approximations to the Mumford-Shah regularizing functionals, with applications to image deblurring in the presence of noise. In the case of impulse noise model, we propose a necessary preprocessing step for the computation of the weight function. Experimental results show that these nonlocal MS regularizers yield better results than the corresponding local ones (proposed for de-blurring by Bar et al.) for both noise models; moreover, these perform better than the nonlocal total variation in the presence of impulse noise. Characterization of minimizers is also given.
Sample size planning for replication studies: The devil is in the design.

Replication is central to scientific progress. Because of widely reported replication failures, replication has received increased attention in psychology, sociology, education, management, and related fields in recent years. Replication studies have generally been assessed dichotomously, designated either a "success" or "failure" based entirely on the outcome of a null hypothesis significance test (i.e., p < .05 or p > .05, respectively). However, alternative definitions of success depend on researchers' goals for the replication. Previous work on alternative definitions for success has focused on the analysis phase of replication. However, the design of the replication is also important, as emphasized with the adage, "an ounce of prevention is better than a pound of cure. " One critical component of design often ignored or oversimplified in replication studies is sample size planning, indeed, the details here are crucial. Sample size planning for replication studies should correspond to the method by which success will be evaluated. Researchers have received little guidance, some of which is misguided, on sample size planning for replication goals other than the aforementioned dichotomous null hypothesis significance testing approach. In this article, we describe four different replication goals. Then, we formalize sample size planning methods for each of the four goals. This article aims to provide clarity on the procedures for sample size planning for each goal, with examples and syntax provided to show how each procedure can be used in practice. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Aronia Melanocarpa: Identification and Exploitation of Its Phenolic Components

The phenolic components of Aronia melanocarpa were quantitatively recovered by three successive extractions with methanol. They comprise anthocyanins (mainly cyanidin glycosides) phenolic acids (chlorogenic and neochlorogenic acids) and flavonols (quercetin glycosides). Approximately 30% of the total phenolic compounds are located in the peel and the rest in the flesh and seeds. Peels contain the major part of anthocyanins (73%), while the flesh contains the major part of phenolic acids (78%). Aronia juice, rich in polyphenols, was obtained by mashing and centrifugation, while the pomace residue was dried and subjected to acidified water extraction in a fixed bed column for the recovery of residual phenolics. A yield of 22.5 mg gallic acid equivalents/g dry pomace was obtained; however, drying caused anthocyanins losses. Thus, their recovery could be increased by applying extraction on the wet pomace. The extract was encapsulated in maltodextrin and gum arabic by spray drying, with a high (>88%) encapsulation yield and efficiency for both total phenols and anthocyanins. Overall, fresh aronia fruits are a good source for the production of polyphenol-rich juice, while the residual pomace can be exploited, through water extraction and spray drying encapsulation for the production of a powder containing anthocyanins that can be used as a food or cosmetics additive.
Non-Line-of-Sight Transient Rendering

Transient imaging methods often analyze time-resolved light transport for applications such as range imaging, reflectance estimation and, especially, non-line-of-sight (NLOS) imaging, which targets the reconstruction of hidden geometry using measurements of indirect diffuse reflections emitted by a laser. Transient rendering is a key tool for developing such new applications. In this work, we introduce a set of simple, yet effective subpath sampling techniques targeting transient light transport simulation in occluded scenes. We analyze the usual capture setups of NLOS scenes, where the light and camera indirectly aim at hidden geometry through a secondary surface. We leverage that configuration to reduce the integration path space. We implement our techniques in our modified version of Mitsuba 2, adapted for transient light transport, allowing us to support parallelization, polarization, and differentiable rendering.
Plasticizer for controlling single‐walled carbon nanotube fibers and zincophilic sites of microfiber supercapacitor

In the past few decades, single‐walled carbon nanotube (SWCNT) fibers have been considered for various applications, from aerospace to electronics including flexible devices. Here, we report an effective way of controlling the viscosity of the liquid crystal SWCNT phases for fiber spinning. By applying Tris(hydroxymethyl)aminomethane (THA)‐functionalization to single‐walled carbon nanotubes (SWCNT_CONH), we enhanced the free volume of individual SWCNTs, which synergistically affected the formation of nematic liquid crystal phases. As a result, we were able to precisely control the viscosity and phase transformation of the nematic liquid crystal phases for fiber spinning. The SWCNT fiber spun from those nematic phases with plasticizer (BP30CONH5; 30 mg/mL of SWCNT_BP with 5 wt% of SWCNT_CONH) exhibited noticeably higher mechanical properties (tensile strength, 1.44 GPa and tensile modulus, 169 GPa) with higher electrical conductivity (1899 S m2/kg). These fibers were also exceptionally flexible and showed endurable performance as wearable and flexible electronic electrode devices from well‐distributed zincophilic sites (CONH). As an Zn‐ion supercapacitor, the SWCNT fiber exhibited linear and volumetric capacitances of 14.33 mF cm−1 and 22.55 F cm−3 at 0.1 mA cm−1 with capacitance retention of 98% after over 30 000 bending tests.
Is Nigella sativa an Effective Bodyweight Lowering Agent and a Mitigator of Obesity Risk? A Literature Review

Abstract Obesity is one of the major health-threatening conditions nowadays. Nigella sativa (NS) is a medicinal plant that demonstrates multiple therapeutic effects. In the current review, we aim to evaluate the weight lowering effect of NS in both clinical trials and experimental studies and to explore the possible reported mechanisms of this effect. We searched PubMed and Web of science and retrieved 14 clinical trials and 5 experimental studies that justify our inclusion criteria. After the analysis of these articles, we can conclude that long-term administration of NS for 6–12 weeks can significantly lower bodyweight and other anthropometric indices. NS-oil is more potent than NS-powder in lowering bodyweight probably due to the higher concentration of fatty acids and thymoquinone. The weight lowering effect of NS is not a toxic effect, it conversely and preferably lowers the elevated liver enzymes in condition of fatty liver. It is also frequently accompanied by positive metabolic modifications, such as enhancement of lipid profile, lowering blood glucose and improving insulin resistance. Possible mechanisms for NS-bodyweight lowering effect might include an appetite-suppression effect, lowering caloric-intake and inhibition of intestinal glucose absorption. However, further experimental evidence is required to support these mechanisms or unveil new ones.
Climate change in Nova Scotia: temperature increases from 1961 to 2020

An analysis of temperature in Nova Scotia, using climate normals for 1961-1990 and temperature records from 1961 to 2020, is presented for 16 sites across the province. These records show a slight warming trend in the first 40 years from 6.0 ± 0.5 °C (1961-1990), followed by a more significant increase in average temperature post-1990 of 1.0 °C to 6.7 ± 0.5 °C, and to 7.0 ± 0.5 in the post-1998 period. A jump in average temperature in 1998 is such that in only a few following years did the mean annual temperature fall below the average annual temperature for the previous period. A step change was coincident with La Niña events and increasing Atlantic Ocean temperatures associated with a shift of the Atlantic Multi-decadal Oscillation into a positive phase. The increase in mean monthly temperatures was more apparent in the Autumn when first frosts were later and there were fewer days with frost. This led to a significant increase in continuous frost-free days of 9.2 ± 7.9 days, with increases ranging from 0.4 to 30.6 days. Relative to other sites, Yarmouth had the smallest annual increase in mean temperature, of 0.5 °C, but this was associated with a major increase in continuous frost-free days, of 11.3. Because overall temperature change was based largely on a step change post-1998, rather than a continuous, gradual change (seen only in frost-free days), it is difficult to calculate a rate, or to predict future patterns of temperature increases. We suggest a significant influence of El Niño Southern Oscillation and Atlantic Multi-decadal Oscillation as potential contributors to the temperature increase. Increases in annual temperature and seasonality are discussed in terms of flowering phenology, including flowering in the Spring of 2021 when 31 species were blooming by the end of April.Keywords: climate change, climate normal, flowering phenology, Nova Scotia, temperature, weather
A Hybrid Scheme for Drowsiness Detection Using Wearable Sensors

The problem addressed in this paper is the detection of drowsiness based on signals acquired using non-invasive and wearable sensors. A combination of signals from electroencephalography (EEG) electrodes, accelerometer, and gyroscope is acquired through a commercially available off-the-shelf headband to achieve this goal. The aim is to substitute the use of intrusive sensors and cameras by extracting both physiological and behavioral features for drowsiness detection using a lightweight wearable headband. A dataset is acquired from 50 volunteers using the MUSE headband for both fresh and drowsy behavior in the resting state, where subjects stare at a slow moving object on a screen and no external stimuli is used. The drowsy state is induced by sleep deprivation. The data are labeled subjectively using the Karolinska sleepiness scale. Complementary features extracted from spectral signals, head movement, and blink analysis are combined to form a feature vector for classifiers to improve the robustness and detection accuracy of the system. The implemented system is validated on the data collected in fresh and drowsy states using a leave-one-out cross-subject and 25% hold-out level testing. A detection accuracy of 92% is achieved using selected features and a linear support vector machine classifier. The results show that the accuracy of drowsiness detection is improved by using a hybrid feature vector acquired from data using multiple sensors.