Miracle-dz/UniFAR-FTUs huggingface dataset:
LLM Adaptive PID Control for B5G Truck Platooning Systems

This paper presents an exploration into the capabilities of an adaptive PID controller within the realm of truck platooning operations, situating the inquiry within the context of Cognitive Radio and AI-enhanced 5G and Beyond 5G (B5G) networks. We developed a Deep Learning (DL) model that emulates an adaptive PID controller, taking into account the implications of factors such as communication latency, packet loss, and communication range, alongside considerations of reliability, robustness, and security. Furthermore, we harnessed a Large Language Model (LLM), GPT-3.5-turbo, to deliver instantaneous performance updates to the PID system, thereby elucidating its potential for incorporation into AI-enabled radio and networks. This research unveils crucial insights for augmenting the performance and safety parameters of vehicle platooning systems within B5G networks, concurrently underlining the prospective applications of LLMs within such technologically advanced communication environments.
Assessment of the strength of kinetic effects of parallel electron transport in the SOL and divertor of JET high radiative H-mode plasmas using EDGE2D-EIRENE and KIPP codes

The kinetic code for plasma periphery (KIPP) was used to assess the importance of the kinetic effects of parallel electron transport in the scrape-off layer (SOL) and divertor of JET high radiative H-mode inter-ELM plasma conditions with the ITER-like wall and strong nitrogen (N2) injection. Plasma parameter profiles along a magnetic field from one of the EDGE2D-EIRENE simulation cases were used as an input for KIPP runs. Profiles were maintained by particle and power sources. KIPP generated electron distribution functions, fe, parallel power fluxes, electron–ion thermoforces, Debye sheath potential drops and electron sheath transmission factors at divertor targets. For heat fluxes in the main SOL, KIPP results showed deviations from classical (e.g. Braginskii) fluxes by factors typically of ∼1.5, sometimes up to 2, with the flux limiting for more upstream positions and flux enhancement near entrances to the divertor. In the divertor, at the same time, for radial positions closer to the separatrix, very large heat flux enhancement factors of up to ten or even higher, indicative of a strong nonlocal heat transport, were found at the outer target, with heat power flux density exhibiting bump-on-tail features at high energies. Under such extreme conditions, however, contributions of conductive power fluxes to total power fluxes were strongly reduced, with convective power fluxes becoming comparable, or sometimes exceeding, conductive power fluxes. Electron–ion thermoforce, on the other hand, which is known to be determined mostly by thermal and subthermal electrons, was found to be in good agreement with Braginskii formulas, including the Zeff dependence. Overall, KIPP results indicate, at least for the plasma conditions used in this modelling, a sizable, but not dominant, effect of kinetics on parallel electron transport.
On Nim-like games whose Sprague-Grundy functions are the same

Some games have the same Sprague-Grundy functions. For a mixed radix numeral system $b$, let $\sigma^b$ be the function that maps $(x^0, \ldots, x^{m - 1}) \in \mathbb{N}^m$ to $x^0 \oplus_b \cdots \oplus_b x^{m - 1}$, where $\oplus_b$ is addition without carry in $b$. We present variants of Nim whose Sprague-Grundy functions equal $\sigma^b$. Let $\Delta^b$ be the set of such games. When $b$ is the binary numeral system, we determine $\Delta^{b}$. In general, we give a characterization of $b$ such that $\Delta^{b}$ has a unique minimal element, and a construction of the maximum element of $\Delta^{b}$.
Quantum simulation of strongly correlated condensed matter systems

We review recent experimental and theoretical progress in realizing and simulating many-body phases of ultracold atoms in optical lattices, which gives access to analog quantum simulations of fundamental model Hamiltonians for strongly correlated condensed matter systems, such as the Hubbard model. After a general introduction to quantum gases in optical lattices, their preparation and cooling, and measurement techniques for relevant observables, we focus on several examples, where quantum simulations of this type have been performed successfully during the past years: Mott-insulator states, itinerant quantum magnetism, disorder-induced localization and its interplay with interactions, and topological quantum states in synthetic gauge fields.
Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities

Interestingly, why is math so hard for some children the nature and origins of mathematical learning difficulties and disabilities that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.
Perceived Organizational Support and Job Embeddedness in Startup Employees

Job embeddedness has proven to have an effect on the effectiveness and productivity of companies, including startups. Employees who have job embeddedness in their work tend to feel more attached to colleagues, work and the organization and express attachment by maintaining organizational membership in the workplace.This study analyzes the perceived organizational support and job embeddedness. The subjects in this study were 105 employees at a startup company in Yogyakarta. Sampling using random sampling technique. Data were collected job embeddedness scale and perceived organizational support scale. The data analysis method uses correlation techniques and the results, there is a positive relationship between perceived organizational support and job embeddedness in startup employees. One way that companies can use to improve job embeddedness is to provide positive support for employees. The perception of organizational support has an important role in increasing employee job embeddedness.Keterikatan kerja terbukti berpengaruh pada efektifitas dan produktifitas perusahaan, termasuk startup. Karyawan yang memiliki job embeddedness dalam pekerjaan cenderung merasa lebih melekat pada kolega, pekerjaan dan organisasi dan mengekspresikan keterikatan dengan mempertahankan keanggotaan organisasi di tempat kerja. Penelitian ini bertujuan untuk mengetahui hubungan persepsi dukungan organisasi dengan keterikatan kerja. Subjek dalam penelitian ini sejumlah 105 karyawan di salah satu perusahaan startup di Yogyakarta. Pengambilan sampel menggunakan teknik random sampling. Pengumpulan data dilakukan dengan dua alat ukur, yaitu skala keterikatan kerja dan skala persepsi dukungan organisasi. Metode analisis data menggunakan teknik korelasi dan hasil analisis menunjukkan terdapat hubungan positif antara persepsi dukungan dengan job embeddedness pada karyawan startup. Salah satu cara yang dapat digunakan oleh perusahaan untuk meningkatkan job embeddednes adalah memberikan dukungan positif terhadap karyawan. Hal ini menunjukkan bahwa persepsi dukungan organisasi memiliki peranan penting dalam meningkatkan Keterikatan kerja pada karyawan.
Response-Based Sampling for Binary Choice Models With Sample Selection

Sample selection models attempt to correct for non-randomly selected data in a two-model hierarchy where, on the first level, a binary selection equation determines whether a particular observation will be available for the second level (outcome equation). If the non-random selection mechanism induced by the selection equation is ignored, the coefficient estimates in the outcome equation may be severely biased. When the selection mechanism leads to many censored observations, few data are available for the estimation of the outcome equation parameters, giving rise to computational difficulties. In this context, the main reference is Greene (2008) who extends the results obtained by Manski and Lerman (1977), and develops an estimator which requires the knowledge of the true proportion of occurrences in the outcome equation. We develop a method that exploits the advantages of response-based sampling schemes in the context of binary response models with a sample selection, relaxing this assumption. Estimation is based on a weighted version of Heckman’s likelihood, where the weights take into account the sampling design. In a simulation study, we found that, for the outcome equation, the results obtained with our estimator are comparable to Greene’s in terms of mean square error. Moreover, in a real data application, it is preferable in terms of the percentage of correct predictions.
Grasp It Like a Pro 2.0: A Data-Driven Approach Exploiting Basic Shape Decomposition and Human Data for Grasping Unknown Objects

With the improvements in their computational and physical intelligence, robots are now capable of operating in real-world environments. However, manipulation and grasping capabilities are still areas that require significant improvements. To address this, we introduce a new data-driven grasp planning algorithm called Grasp it Like a Pro 2.0. This algorithm utilizes a small number of human demonstrations to teach a robot how to grasp arbitrary objects. By decomposing objects into basic shapes, our algorithm generates candidate grasps that can generalize to different object's geometry. The algorithm selects the grasp to execute based on a selection policy that maximizes a novel grasp quality metric introduced in this article. This metric considers the complex interdependencies between the predicted grasp, the local approximation produced by the basic shape decomposition, and the gripper used. We evaluate our approach against multiple baselines using different grippers and objects. The results demonstrate the effectiveness of our method in generating and selecting high-quality and reliable grasps. With a soft underactuated robotic hand, our algorithm achieves a 94.0% success rate in 150 grasps across 30 different objects. Similarly, with a rigid gripper, it achieves an 85.0% success rate in 80 grasps across 16 different objects.
Anti-Fibrotic Effects of RF Electric Currents

Hypertrophic scars and keloids are two different manifestations of excessive dermal fibrosis and are caused by an alteration in the normal wound-healing process. Treatment with radiofrequency (RF)-based therapies has proven to be useful in reducing hypertrophic scars. In this study, the effect of one of these radiofrequency therapies, Capacitive Resistive Electrical Transfer Therapy (CRET) on biomarkers of skin fibrosis was investigated. For this, in cultures of human myofibroblasts treated with CRET therapy or sham-treated, proliferation (XTT Assay), apoptosis (TUNEL Assay), and cell migration (Wound Closure Assay) were analyzed. Furthermore, in these cultures the expression and/or localization of extracellular matrix proteins such as α-SMA, Col I, Col III (immunofluorescence), metalloproteinases MMP1 and MMP9, MAP kinase ERK1/2, and the transcription factor NFκB were also investigated (immunoblot). The results have revealed that CRET decreases the expression of extracellular matrix proteins, modifies the expression of the metalloproteinase MMP9, and reduces the activation of NFκB with respect to controls, suggesting that this therapy could be useful for the treatment of fibrotic pathologies.
Adolescent Perception of Mental Health: It’s Not Only about Oneself, It’s about Others Too

Adolescents are at an increased risk of mental health problems due to the natural processes of development and maturation. Given that their mental health is mainly assessed by adults and not by the adolescents themselves, the purpose of this study is to reveal adolescents’ perceptions of mental health. Semi-structured, in-depth interviews were conducted, and an inductive qualitative approach with thematic analysis was used. The qualitative study consisted of 19 adolescents aged 11–17 years. Five themes were identified: (1) What does mental health mean to you? (subthemes: realm of emotions, customary behavior, and relationships with others); (2) needs (subthemes: communication and support, self-expression and freedom of decision-making, and a safe and personal environment); (3) risk factors (subthemes: un-healthy relationships and social media dangers); (4) red flags (subthemes: self-exclusion from social life and self-destructive behavior); and (5) role of mental health professionals (subthemes: attentiveness to and proper pace for adolescent and acceptance of adolescent’s life in its entirety). This study revealed that adolescents view their mental health not only from their own emotional and behavioral perspectives but also through the prism of relationships with other people.
Statistical Methods in Network Traffic

The analysis of network traffic data is of considerable interest for those working with computer networks and road transport systems. This article provides a brief overview of the modeling frameworks commonly used for describing network traffic. It covers stochastic models to describe variation in patterns of traffic flow in time, including a comparison of methods commonly used for electronic and road networks. Statistical inference for traffic models can be challenging, because the most readily available data are traffic counts observed at various network locations, but these typically provide only indirect information about the quantities of interest (e.g., traffic rates on routes through the network). We discuss methods of network tomography that address this kind of problem. Finally, we look at stochastic traffic assignment models (primarily for road traffic systems), which seek to describe the route flow dynamics of systems in which travelers attempt to minimize their own travel time.
Media in mental health: an approach to conceptualize the media’s role in the help-seeking of people suffering from mental health issues

ABSTRACT Talking about mental health conditions is still not commonplace in contemporary societies. This is despite data suggesting that many people around the globe suffer from diverse mental health issues. This submission offers a comprehensive theoretical model–the Media in Mental Health Model (MMH Model)–that conceptualizes the role of the media in explaining why some people with mental health issues seek help while others do not. In doing so, it proposes one possible explanation for how media consumption can influence help-seeking behavior by introducing, reducing, or reinforcing existing stigma, influencing thwarted belongingness, and impacting perceived burdensomeness. Finally, this paper proposes an agenda for future research that primarily aims to unravel the media’s potential to dismantle existing stigma and support help-seeking behavior.
Design and Implementation of Printed Spiral Coils used in Wireless Power Transmission Systems for Implantable Biomedical Devices

This paper proposed a small size and efficient square-shaped printed spiral coils (PSCs) at 13.56 MHz to be used for implantable biomedical devices. Detailed modeling of PSCs is presented. A design methodology has been applied to theoretical closed-form equations using MATLAB to optimize the wireless link of a 12×12 mm2 implantable coil example with 10 mm relative distance. All results are validated with the simulation using an electromagnetic field solver HFSS 14.1. Also, the PSCs has been implemented for verification using FR4 printed circuit board. The results show that optimized coil pairs achieved efficiency up to 80% at face to face relative distance of 10 mm in the air.
An novel integrated optimization approach for reconfiguring distribution network with distributed generation

This paper presents a modified immune particle swarm optimization (MIPSO) algorithm and a new voltage stability difference index (VSDI) to solve distribution network reconfiguration (DNR) and distributed generation (DG) allocation problems, whose objectives are to reduce total real power loss, enhance the voltage stability and improve the voltage profile of a distribution system. The VSDI is put forward to determine the most sensitive buses to voltage collapse as candidate installation buses of DG allocation. The proposed MIPSO algorithm and VSDI are applied to IEEE 33- and 69-bus distribution systems considering eight different scenarios, and the obtained results demonstrate the effectiveness of the proposed MIPSO algorithm and VSDI on solving DNR and DG allocation problems of the distribution system.
MAPD: An FPGA-Based Real-Time Video Haze Removal Accelerator Using Mixed Atmosphere Prior

Real-time video dehazing plays a key role in helping autonomous driving detect pedestrians or obstacles in severe foggy weather to prevent potential hazards. Existing video dehazing methods achieve good restoration performance but still suffer from oversaturation and low dehazing speed, especially for high-definition (HD, high-resolution) videos. In this article, we propose a mixed atmosphere prior information video dehazing accelerator (MAPD) and implement it on field programmable gate array (FPGA) to achieve real-time haze removal for HD video. MAPD provides a mixed atmospheric light model by applying heterogeneous atmospheric light in the foreground area to balance brightness deviation, and maintaining the global atmospheric light in the background region. Considering the parallel characteristics of FPGA, MAPD leverages the redundant information between adjacent frames to accelerate the dehazing process and designs an indirect transmission estimation to decrease resource consumption. For comparison, we also implement six dehazing solutions (DCP, color ellipsoid prior (CEP), RDCP, FFVD, MHVD, and REFD) on FPGA, and deploy a graphics processing unit (GPU)-based method $(D^{4})$ on the platform with Nvidia 3080 GPU. Experiments using two widely used benchmarks show that MAPD increases the performance by up to 36.5%, 53.5%, 36.3%, 33.3%, 11.9%, and 23.3%, decreases resource consumption by up to 79.7%, 75.0%, 74.8%, 25.6%, 22.6%, and 73.9% and enhances FPS for HD videos by up to 241.6%, 145.9%, 151.7%, 68.6%, 50.6%, and 62.4%, compared with DCP, CEP, RDCP, FFVD, MHVD, and REFD. Compared to $D^{4}$ , MAPD also promotes the dehazing performance by up to 21.8%, and increases FPS by up to 487.0%.
Factors related to preoperative uncertainty among patients with breast cancer in Wenzhou, China: A cross-sectional study

Background One of the most prevalent psychological signs of breast cancer is uncertainty, which is more prevalent in Chinese patients during the preoperative period. Despite the numerous factors contributing to preoperative uncertainty, there is limited relevant research conducted in China. Objective This study aimed to describe the current state of preoperative uncertainty and to investigate the relationship between anxiety, illness perception, social support, and preoperative uncertainty in patients with breast cancer in Wenzhou, China. Methods This cross-sectional research used a simple random sampling technique to select 122 participants from a university hospital in Wenzhou, China, from July 2022 to December 2022, employing validated instruments. Descriptive statistics and Pearson’s correlation coefficient were utilized to analyze the data. Results The average preoperative uncertainty scores of the patients fell within a moderate range (M = 61.92, SD = 7.51). Significant correlations were found between anxiety (r = 0.638, p <0.01), illness perception (r = 0.704, p <0.01), social support (r = -0.481, p <0.01), and preoperative uncertainty. Conclusions The results can assist healthcare professionals, especially nurses, in recognizing the factors contributing to uncertainty before surgery in patients with breast cancer. This knowledge enables them to promptly address and minimize this issue, leading to improved outcomes.
Solar Light Radiometry Calibration Unit for a ScanPol Polarimeter of the Aerosol-UA Space Mission

The Aerosol-UA space mission will study aerosol microphysical characteristics in the Earth’s atmosphere based on the multispectral scanning polarimeter (ScanPol) and imaging polarimeter (MSIP). Both polarimeters must be precisely calibrated on the ground and in orbit to provide correct measurements. This paper considers the results of developing an experimental device for the radiometric calibration of the ScanPol. We consider the calibration unit design and operation principle to form a luminous flux with unchanged or well-predicted characteristics in a specified direction. The construction of the radiometric calibration unit is based on a sun-illuminated reflective diffuser made from the white opal glass MS20. We evaluated the scattering and polarization characteristics of the diffuser in laboratory experiments at a wide range of wavelengths. The results suggest that the polarization properties of the diffuser are negligible. The diffuser scattering parameters are close to Lambertian for illuminance conditions, which is necessary for radiometric calibration. The calibration unit was manufactured and tested during field observations of solar radiation. The results will be used for its improvement, mainly to reduce the observed stray scattered radiation entering the telescopes of the ScanPol polarization state analyzer.
Suppression of parametric instabilities induced by lower hybrid waves

In the framework of the study of parametric instabilities involving lower hybrid wave propagation in a magnetized plasma, this work presents a new nonlinear parametric dispersion equation, based on a kinetic model, taking into account the collisional effects, useful to analyze the instabilities emerging in the outer layers of a tokamak plasma. For typical parameters of present day LHCD experiments, we compare the numerical solutions of the full parametric dispersion equation in collisionless plasma with the numerical solutions obtained in both collisional and collisionless case, considering only the particle dynamics parallel to the equilibrium magnetic field. The role of the electron temperature and the ion composition are also investigated in order to find outer plasma conditions useful to suppress the parametric instabilities in future fusion reactor scenarios. Introduction Microwave power coupled to tokamak plasmas produces high frequency (HF) density perturbations which may nonlinearly couple with low frequency (LF) plasma density fluctuations, driving them unstable [1,2]. These instabilities may grow in space and in time, broadening the incident pump wave spectrum versus the parallel wavenumber and causing the lower hybrid (LH) absorption near the surface of the plasma column, preventing its penetration to the interior [3,4]. Thus it is of great importance to know for present day LHCD experiments under which circumstances parametric instabilities occur. In this paper we improve our previous modeling of parametric instabilities [5,6] deriving a full kinetic description of the LH wave propagation, taking into account the collisional effects, along with a more accurate modeling of the nonlinear mode coupling of the pump wave with ion-sound modes. This was achieved performing a more accurate perturbative analysis of the kinetic equations retaining terms up to the third order and taking into account the self-consistent electric field with the charge density perturbation. As in previous works [5,6,7], in order to describe the nonlinearity in the outer layers of a tokamak plasma, we consider dominant the particle dynamics parallel to the equilibrium magnetic field. Then, we evaluate the growth rates of the parametric instabilities in different edge plasma conditions concerning the electron temperature and the ion composition. 44 EPS Conference on Plasma Physics P1.147