Miracle-dz/UniFAR-FTUs huggingface dataset:
Temperature-Dependent Study of Large-Signal Reliability of p-FET-Based Power Amplifier for mmWave Applications

For the first time, the temperature dependence of RF reliability of a power amplifier (PA) is investigated for the mmWave frequency band. The PA comprises a common source configured single pFET fabricated in 45RFSOI technology by GlobalFoundries. Temperature dependence of DC and large-signal figures of merit (FOMs) are analysed as a function of RF power levels and DC stress at the gate terminal for a continuous wave (CW) frequency of 26.5GHz. In this study, we have also investigated the relationship between temperature and the time slope exponent obtained from the % degradation in ON current <inline-formula> <tex-math notation="LaTeX">$(I_{ON})$ </tex-math></inline-formula> for different operating regions of PA. The degradation mechanism involves trapping hot holes in pre-existing traps and the generation of new traps in the oxide due to hot holes. A non-linear relationship between DC and RF FOMs <inline-formula> <tex-math notation="LaTeX">$(I_{ON}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$P_{OUT})$ </tex-math></inline-formula> is investigated for the increasing temperature. The non-linear relationship extracted from the slope between <inline-formula> <tex-math notation="LaTeX">${\Delta }I_{ON}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">${\Delta }P_{OUT}$ </tex-math></inline-formula> shows that the DC performance is impacted more than the RF performance with the increasing temperature. Degradation in output power of PA cell increases with the temperature. As a result, the lifetime of PA cell decreases with increasing temperature and fails to achieve a 10-year lifetime.
Bathymetric depth sounder with novel echo signal analysis based on exponential decomposition

We present a laser rangefinder specifically designed for bathymetric surveying tasks. The compact and lightweight instrument is capable of measuring through the water surface, ideally suited for generating profiles of waterbodies when operated from a UAV. The topo-bathymetric LiDAR sensor comprises a tilt compensation, an IMU/GNSS unit with antenna, a control unit, and supports triggering of external digital cameras. The laser range finder sends out laser pulses at a rate of 4 kHz. The echo signal for each laser pulse is digitized and recorded for the entire range gate of 50 m. This means that predetection averaging of the waveforms can be performed in post processing, increasing the depth performance. The averaging rate can be chosen after the flight on basis of measurement conditions. The waveforms are processed by a full waveform processing algorithm based on exponential decomposition which uses segments of an exponential function as base functions to model the backscatter cross-section of the target objects. Water surface, water column, and ground targets are modeled using a set of base functions of which an optimization selects the most suitable combination to fit the echo signal. This leads to high accuracy of the points and to automatic target classification.
Childhood Exposure to Violence and Nurturing Relationships: The Long-Run Effects on Black Men

Black men who witnessed a shooting before turning 12 have household earnings as adults 31 percent lower than those who did not. We present evidence that this gap is causal and is most likely the result of toxic stress; it is not mediated by incarceration and is constant across neighborhood socioeconomic status. Turning to mechanisms related to toxic stress, we study exposure to violence and nurturing relationships during adolescence. Item-anchored indexes synthesize variables on these treatments better than summing positive responses, Item Response Theory, or Principal Components, which all perform similarly. Providing adolescents with nurturing relationships is almost as beneficial as preventing their exposure to violence.
Optical levitation and feedback cooling of a nanoparticle at subwavelength distances from a membrane

We optically trap a nanoparticle in a laser beam strongly focused on a dielectric membrane in vacuum. By investigating the motion of the trapped particle, we map the position-dependent optical potential in front of the membrane while interferometrically measuring the distance between the particle and the membrane surface. Furthermore, we demonstrate feedback cooling of the particle’s motion in subwavelength proximity to the dielectric surface. The demonstrated optomechanical control of a levitated nanoparticle in close proximity of an interface at low gas pressures is an integral requirement to investigate short-range interactions in yet unexplored parameter regimes.
Elliptical, parabolic, and hyperbolic exchanges of energy in drag reducing plane Couette flows

In the present paper, we investigate the polymer–turbulence interaction by discriminating between the mechanical responses of this system to three different subdomains: elliptical, parabolic, and hyperbolic, corresponding to regions where the magnitude of vorticity is greater than, equal to, or less than the magnitude of the rate of strain, respectively, in accordance with the Q-criterion. Recently, it was recognized that hyperbolic structures play a crucial role in the drag reduction phenomenon of viscoelastic turbulent flows, thanks to the observation that hyperbolic structures, as well as vortical ones, are weakened by the action of polymers in turbulent flows in a process that can be referred to as flow parabolization. We employ direct numerical simulations of a viscoelastic finite extensible nonlinear elastic model with the Peterlin approximation to examine the transient evolution and statistically steady regimes of a plane Couette flow that has been perturbed from a laminar flow at an initial time a.
The severity of renal colic pain: Can it be predicted?

INTRODUCTION We aimed to determine whether there was a relationship between the perception of renal colic pain and different psychosocial and physiological factors. METHODS Between May 2021 and July 2022, we prospectively analyzed 320 patients who were diagnosed with renal colic occurring unilaterally and secondary to a single kidney stone of any size, over the age of 18. Body mass index (BMI), education level, hospital anxiety and depression scale (HADS), somatosensory amplification scale (SAS), and the visual analog scale (VAS) features of stone (diameter, Hounsfield value, and localization) and degree of hydronephrosis were analyzed. Correlation analysis of VAS score and these parameters were completed with Spearman's test. The regression analysis was used to determine the predictive factors of severe pain. RESULTS There was no significant difference found between sex and VAS scores of colic pain (p=0.122). We found a significant correlation between VAS score and localization of kidney stone, degree of hydronephrosis, and anxiety level of patients. High grade of hydronephrosis and high anxiety level were found to be associated with high VAS scores (p<0.001 and p=0.035, respectively). It was shown that SAS and level of depression did not correlate with pain. Only a high degree of hydronephrosis was found to be a predictive factor for severe pain (p<0.01). Conclusıons:The patient's high anxiety level and a high degree of hydronephrosis were positively correlated with renal colic pain caused by kidney stones. With this study, the severity of pain in patients with a high degree of hydronephrosis and high anxiety can be predicted and may be a criterion to select suitable treatment to reach faster response.
Two-Hop Cooperative Caching and UAVs Deployment Based on Potential Game

This paper explores the joint cache placement and 3D deployment of Unmanned Aerial Vehicle (UAV) groups, utilizing potential game theory and a two-hop UAV cooperative caching mechanism, which could create a tradeoff between latency and coverage. The proposed scheme consists of three parts: first, the initial 2D location of UAV groups is determined through K-means, with the optimal altitude based on the UAV coverage radius. Second, to balance the transmission delay and coverage, the MOS (Mean Opinion Score) and coverage are designed to evaluate the performance of UAV-assisted networks. Then, the potential game is modeled, which transfers the optimization problem into the maximization of the whole network utility. The locally coupling effect resulting from action changes among UAVs is considered in the design of the potential game utility function. Moreover, a log-linear learning scheme is applied to solve the problem. Finally, the simulation results verify the superiority of the proposed scheme in terms of the achievable transmission delay and coverage performance compared with two other tested schemes. The coverage ratio is close to 100% when the UAV number is 25, and the user number is 150; in addition, this game outperforms the benchmarks when it comes to maximizing MOS of users.
A novel hybrid total variation minimization algorithm for compressed sensing

Compressed sensing (CS) is a technology to acquire and reconstruct sparse signals below the Nyquist rate. For images, total variation of the signal is usually minimized to promote sparseness of the image in gradient. However, similar to all L1-minimization algorithms, total variation has the issue of penalizing large gradient, thus causing large errors on image edges. Many non-convex penalties have been proposed to address the issue of L1 minimization. For example, homotopic L0 minimization algorithms have shown success in reconstructing images from magnetic resonance imaging (MRI). Homotopic L0 minimization may suffer from local minimum which may not be sufficiently robust when the signal is not strictly sparse or the measurements are contaminated by noise. In this paper, we propose a hybrid total variation minimization algorithm to integrate the benefits of both L1 and homotopic L0 minimization algorithms for image recovery from reduced measurements. The algorithm minimizes the conventional total variation when the gradient is small, and minimizes the L0 of gradient when the gradient is large. The transition between L1 and L0 of the gradients is determined by an auto-adaptive threshold. The proposed algorithm has the benefits of L1 minimization being robust to noise/approximation errors, and also the benefits of L0 minimization requiring fewer measurements for recovery. Experimental results using MRI data are presented to demonstrate the proposed hybrid total variation minimization algorithm yields improved image quality over other existing methods in terms of the reconstruction accuracy.
MODELO DE CINCO FATORES: DESEMPENHO NA PRECIFICAÇÃO DE ANOMALIAS NO MERCADO DE CAPITAIS BRASILEIRO

Este estudo tem como objetivo analisar o desempenho do modelo de cinco fatores de Fama e French (2015) na explicação das variações dos retornos de portfólios de ações negociadas no mercado de capitais brasileiro. Para estimação do modelo, aplicou-se a metodologia de teste preditivo, utilizando regressões em dois passos (séries temporais e cross-section), de acordo com a metodologia desenvolvida por Fama e MacBeth (1973). Os resultados observados apontaram que o modelo de cinco fatores apresentou bom desempenho na explicação dos retornos médios, enquanto a regressão cross-section mostrou que o modelo não foi suficiente para explicar as variações dos retornos dos portfólios.
Dispersion of seeds at night and day in sub-Andean forests, Cueva Los Guacharos Park, Colombia

Introduction: Much has been argued about the importance of the role that different types of frugivores play as seed dispersers in plant communities, but few studies have been actually carried out. Objective: We evaluated and compared diurnal and nocturnal seed dispersal in a primary and secondary sub-Andean forest in Southern Colombia. Methods: We estimated number and biomass (kg/ha) of seeds dispersed over one year (2017) using 60 fruit traps that were checked before sunrise and before sunset for 10 continuous days every two months. Results: We found that from 1 874 dispersed seeds, 55.8 % (10.9 kg/ha) were collected during the day and 44.2 % (6.39 kg/ha) at night. There were no significant differences between diurnal and nocturnal seed dispersal in number of seeds or biomass. We also found no difference in between seed dispersal that in the primary forest and secondary forest over time. Within diurnal organisms, primates and fruit-eating birds appear to be primarily responsible for this ecosystem service during the day; while bats, birds (e.g. oilbirds), and probably primates did so during the night. Conclusions: Diurnal and nocturnal dispersal seem to be equal in terms of number and weight of seeds, but not in the similarity of dispersed plant species. It remains a challenge to recognize the relative importance of different fruit-eating organisms as seed dispersers using fruit trap methods.
Regression models generated by gamma random variables with long-term survivors

We propose a flexible cure rate survival model by assuming that the number of competing causes of the event of interest has the Poisson distribution and the time for the event follows the gamma-G family of distributions. The extended family of gamma-G failure-time models with long-term survivors is flexible enough to include many commonly used failure-time distributions as special cases. We consider a frequentist analysis for parameter estimation and derive appropriate matrices to assess local influence on the parameters. Further, various simulations are performed for different parameter settings, sample sizes and censoring percentages. We illustrate the performance of the proposed regression model by means of a data set from the medical area (gastric cancer).
A Case of Ticagrelor-Induced Sinus Pause

Ticagrelor is an oral antiplatelet agent commonly used following percutaneous coronary intervention (PCI). There have been many reports describing bradyarrhythmias in the setting of ticagrelor use, most notably sinus pauses. This process is thought to be related to ticagrelor’s inhibition of human equilibrative nucleoside transporter (hENT1), which reduces cellular uptake of adenosine. We present a case of a 58-year-old male who experienced prolonged sinus pauses 38 hours after starting ticagrelor following ST-elevation myocardial infarction with subsequent PCI and stent placement.
Non-Negativity Preserving Numerical Algorithms for Problems in Mathematical Finance

We give a study result to analyze a rather different, semi-analytical numerical algorithms based on splitting-step methods with their applications to mathematical finance. As certain subsistent numerical schemes may fail due to producing negative values for financial variables which require non-negativity preserving. These algorithms which we are analyzing preserve not only the non-negativity, but also the character of boundaries (natural, reflecting, absorbing, etc.). The derivatives of the CIR process and the Heston model are being extensively studied. Beyond plain vanilla European options, we creatively apply our splitting-step methods to a path-dependent option valuation. We compare our algorithms to a class of numerical schemes based on Euler discretization which are prevalent currently. The comparisons are given with respect to both accuracy and computational time for the European call option under the CIR model whereas with respect to convergence rate for the path-dependent option under the CIR model and the European call option under the Heston model.
A dynamic framework for functional parameterisations of the eddy viscosity coefficient in two-dimensional turbulence

ABSTRACT This paper puts forth a dynamic framework for investigating the subgrid scale physics of decaying two-dimensional turbulence utilising a modular approach with eddy viscosities in various functional forms. The derivation of the low-pass spatially filtered implementation of the Navier–Stokes equations is given by using the vorticity-streamfunction formulation. Two different implementations of the viscosity kernels based on the representation of the eddy viscosity terms are proposed and tested by solving a canonical two-dimensional decaying turbulence problem. It is seen that the implementation of the eddy viscosity formulation plays a distinct role in the dissipative behaviour of the different viscosity kernels. Among eddy viscosity kernels tested, we found that the Leith eddy viscosity formulation yields superior results with higher correlation coefficients.
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization

Convergence and diversity are interdependently handled during the evolutionary process by most existing many-objective evolutionary algorithms (MaOEAs). In such a design, the degraded performance of one would deteriorate the other, and only solutions with both are able to improve the performance of MaOEAs. Unfortunately, it is not easy to constantly maintain a population of solutions with both convergence and diversity. In this paper, an MaOEA based on two independent stages is proposed for effectively solving many-objective optimization problems (MaOPs), where the convergence and diversity are addressed in two independent and sequential stages. To achieve this, we first propose a nondominated dynamic weight aggregation method by using a genetic algorithm, which is capable of finding the Pareto-optimal solutions for MaOPs with concave, convex, linear and even mixed Pareto front shapes, and then these solutions are employed to learn the Pareto-optimal subspace for the convergence. Afterward, the diversity is addressed by solving a set of single-objective optimization problems with reference lines within the learned Pareto-optimal subspace. To evaluate the performance of the proposed algorithm, a series of experiments are conducted against six state-of-the-art MaOEAs on benchmark test problems. The results show the significantly improved performance of the proposed algorithm over the peer competitors. In addition, the proposed algorithm can focus directly on a chosen part of the objective space if the preference area is known beforehand. Furthermore, the proposed algorithm can also be used to effectively find the nadir points.
Comprehensive prognostic and immunological analysis of Ubiquitin Specific Peptidase 28 in pan-cancers and identification of its role in hepatocellular carcinoma cell lines

Background: Ubiquitin Specific Peptidase 28 (USP28), as a member of the DUBs family, has been reported to regulate the occurrence and development of some tumors, but its oncogenic role in tumor immunity is still unknown. Methods: The comprehensive view of USP28 expression in tumor and normal samples was obtained from public databases, including The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Cancer Cell Line Encyclopedia (CCLE). We analyzed the genomic alterations of USP28 in various cancers using the cBioPortal dataset. Besides, gene set enrichment analysis was used to analyze the associated cancer hallmarks with USP28 expression, and TIMER2.0 was taken to investigate the immune cell infiltrations related to the USP28 level. Results: USP28 is highly expressed in most tumors and has prognostic value across various cancer types. Moreover, a significant correlation exists between USP28 and immune regulators, clinical staging, checkpoint inhibitor response, MSI, TMB, CNV, MMR defects, and DNA methylation. Additionally, USP28 expression is strongly associated with the infiltration levels of neutrophils and NK cells in most tumor types. One of the most significant findings of our study was that USP28 could serve as a significant predictor of anti-CTLA4 therapy response in melanoma patients. Additionally, our molecular biology experiments validated that the knockdown of USP28 substantially reduced the proliferative and invasive abilities of the HCC cell lines. Conclusions: Our study suggests that USP28 could potentially serve as a biomarker for cancer immunologic infiltration and poor prognosis, with potential applications in developing novel cancer treatment strategies.
Effect of preoperative ibuprofen on pain after lower third molar removal: A randomized controlled trial

Aim: The aim of the study is to predict the effect of preemptive analgesics in the third molar surgery and to analyze whether the number and frequency of postoperative analgesics are reduced following the administration of preemptive analgesics. Materials and Methods: The present study was carried out on 50 patients who reported to the Department of Oral and Maxillofacial Surgery for removal of their impacted mandibular third molar. The patients were randomly divided into two groups of 25 patients each – Group A (test group) patients receiving ibuprofen (400 mg) half an hour before the surgery and placebo half an hour after surgery and the Group B (control group) patients receiving placebo half an hour before the surgery and ibuprofen (400 mg) half an hour after surgery. Both groups of patients will be instructed to avoid any drug but those prescribed (ibuprofen 400 mg SOS and rescue medication of tramadol 50 mg SOS) and not to seek any medical help elsewhere for postoperative problems. The pain was recorded using a visual analog scale. Results: Demographic data in the study show females (8%) and male (92%) patients. The average time taken for surgery was more in the control group (58.36 min) as compared to the test group (55.64 min) with no statistically significant difference. Values of pain score, medication score, number of rescue medication, and frequency at different time intervals (at baseline, after 3 h, 6 h, 24 h, and 7 days) are expressed in terms of mean and standard deviation, respectively, and the result shows the statistically significant difference for pain score at baseline and 7th-day time interval only. The distribution of different types of impaction and different types of elevation/odontotomy shows a significant association in test and control groups. Conclusion: Preoperative ibuprofen decreases the frequency and intensity of the pain. We believe that since this preoperative ibuprofen seems to be beneficial without any adverse effects, it may be used routinely in the 3rd molar surgeries and even in routine extraction.
Developing the Cooperative Agreement Efforts between the World Islamic Call Society and the Islamic Call Organization in Malaysia

This research paper proposes the development of cooperative relations between the World Islamic Call Society and the Islamic Call Charity Organization in the field of Islamic propagation in Malaysia. The paper highlights the importance of collaboration between these two organizations in promoting the Islamic faith and values in Malaysia. It outlines the challenges faced by the Islamic community in Malaysia and emphasizes the need for joint efforts to address them. The paper suggests various strategies and initiatives that could be implemented to enhance the cooperation between the two organizations, such as joint programs and events, sharing of resources and expertise, and capacity-building programs. The proposed development of cooperative relations between the two organizations is expected to contribute to the growth and strengthening of the Islamic community in Malaysia and to promote greater understanding and cooperation between Muslims worldwide
An Introduction to Projection Fuzzy Associative Memories in Complete Inf-Semilattices

In this paper we introduced a projection fuzzy associative memory (PFAM) based on complete inf-semilattice (cisl) derived from complete lattice [0, 1]n by using reference function is called a semilattice based projection fuzzy associative memory (SL-PFAM). Since the PFAM project to input pattern into the set of all max-C (C means conjunction) combination of the fundamental memories set. In experimental section, we compare the performance of SL-PFAM using fuzzy morphological associative memories (FMAMs) as reference functions for the reconstruction of gray scale images that were incomplete patterns and corrupted by different types of noise.