Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical characterization of capacitively coupled plasmas modulated by ion beam injection

This work proposes to use the Ar+ ion beam (IB) injection to modulate the properties of the single-frequency capacitively coupled plasma (CCP). The particle-in-cell/Monte Carlo collisions method is used to simulate the plasma characteristics after the IB (2 keV, 0.5 A) is injected into the discharge area from the grounded electrode. The results show that the IB can effectively increase the plasma density, reduce the electron energy, increase the self-bias voltage, and thus increase ion flux and broaden the ion energy distribution function on the electrode. Furthermore, transition from α-mode to γ-mode occurs by increasing the secondary electron emission coefficient γ and discharge pressure. In general, the IB injection can be used as a complementary tool to control the plasma properties of CCP.
Why does snowmelt-driven streamflow response to warming vary? A data-driven review and predictive framework

Climate change is altering the seasonal accumulation and ablation of snow across mid-latitude mountainous regions in the Northern Hemisphere with profound implications for the water resources available to downstream communities and environments. Despite decades of empirical and model-based research on snowmelt-driven streamflow, our ability to predict whether streamflow will increase or decrease in a changing climate remains limited by two factors. First, predictions are fundamentally hampered by high spatial and temporal variability in the processes that control net snow accumulation and ablation across mountainous environments. Second, we lack a consistent and testable framework to coordinate research to determine which dominant mechanisms influencing seasonal snow dynamics are most and least important for streamflow generation in different basins. Our data-driven review marks a step towards the development of such a framework. We first conduct a systematic literature review that synthesizes knowledge about seasonal snowmelt-driven streamflow and how it is altered by climate change, highlighting unsettled questions about how annual streamflow volume is shaped by changing snow dynamics. Drawing from literature, we then propose a framework comprised of three testable, inter-related mechanisms—snow season mass and energy exchanges, the intensity of snow season liquid water inputs, and the synchrony of energy and water availability. Using data for 537 catchments in the United States, we demonstrate the utility of each mechanism and suggest that streamflow prediction will be more challenging in regions with multiple interacting mechanisms. This framework is intended to inform the research community and improve management predictions as it is tested and refined.
Crosstalk noise aware wavelength allocation in WDM 3D ONoC

Optical Network-on-Chip (ONoC) employs Wavelength Division Multiplexing (WDM) supporting multiple transactions at same time. In this context, many senders and receivers can share the same waveguide to increase the total bandwidth utilization. However, simultaneous transmissions on closed adjacent wavelengths may introduce crosstalk noise through different optical switching elements within the network due to the low wavelength channel spacing and the large Full Width at Half Maximum (FWHM) of the resonance pic of the Microring Res-onator (MR). To address this problem, this paper proposes crosstalk noise aware wavelength allocation in WDM 3D ONoC to improve Signal to Noise Ratio (SNR) performance .
El Trastorno Límite de Personalidad desde una perspectiva estructural

La personalidad se puede entender como un complejo patrón de características psicológicas que se expresan muchas áreas del funcionamiento psicológico, implica una gama de procesos psicológicos internos, como patrones de pensamiento y sentimiento, formas de experimentarse, a sí mismo y a los demás, formas de afrontamiento y motivos. En el trastorno de la personalidad, la psicología de la persona es rígida y genera una angustia significativa a sí misma o a los demás. El Trastorno Límite de Personalidad (TLP), consiste en un patrón de inestabilidad de las relaciones interpersonales, autoimagen y afectos, marcada impulsividad, que comienza en la edad adulta temprana y se presenta en una variedad de contextos. Tiene una etiología multifactorial y pueden identificarse tres factores con un papel importante en su desarrollo, como la presencia de un temperamento vulnerable y sensible de base biológica; un entorno familiar caótico y traumático y eventos ambientales desencadenantes, generalmente asociados a relaciones interpersonales. El modelo estructural de Otto Kernberg, propone que el TLP se encuentra en una Organización Limítrofe de la Personalidad, el cual se caracteriza una prueba de realidad conservada aunque vulnerable en estados afectivos intensos, el predominio de defensas en torno a la escisión y difusión de identidad moderada a severa.
Partially delocalized charge in crystalline Co-S-Se/NiOx nanocomposites for boosting electrocatalytic oxygen evolution.

Although reasonably specified and adjustable preparation of nanostructures with specific morphologies, ordered chemical compositions and electronic structures involving advanced energy chemistries is an important research area, high-efficiency, stable, and low-cost electrocatalysts for water splitting are greatly desirable and challenging. In this study, partially delocalized Co-S-Se ultra-thin nanosheets are obtained via a liquid-liquid interface-mediated strategy at an oil-water interface. These Co-S-Se ultra-thin nanosheets exhibit different-sized lamellar structures and have an average thickness of 0.83 nm. The ternary ultra-thin Co0.45S0. 38Se0.17 nanosheets demonstrate excellent performance for the OER, accompanied by an overpotential of 290 mV (1.52 V vs. RHE) at 10 mA cm-2, and a Tafel slope of 74.5 mV dec-1. In the meantime, the catalyst recombined with a stoichiometry NiOx catalyst to form a composite interface, which also exhibited a good OER performance, with an overpotential of 260 mV at 10 mA cm-2 and a smaller Tafel slope of 53.9 mV dec-1. The nanosheets can rearrange the electronic density near the metal catalytic centers and increase the electron transfer. DFT calculations indicate that the partially delocalized charges can improve electrocatalytic performances, demonstrating modulated electroreduction properties. Due to the special atomic and electronic structure of the ternary transition metal alloy chalcogenide, the compound has great potential for energy storage, which will help in the rational design and synthesis of high-efficiency electrocatalysts.
Pancreatic cancer incidence and mortality trends: a population-based study

Objectives To analyze trends in pancreatic cancer incidence and mortality in Latin American countries. Methods An ecological study with incidence data from the International Agency for Research on Cancer and mortality data from the World Health Organization. The trend of incidence by Joinpoint regression, the variation of the annual average and the 95% confidence interval were analyzed. Results There were increasing trends in incidence in Brazil, in males, aged 40-59 years, and reduction in Costa Rica. In females, there was stability in all age groups. The mortality rates increased in the elderly in Brazil (AAPC: 1.09%; 95% CI: 0.76; 1.42), Peru (AAPC: 1.76%; 95% CI: 0.36; 3.17) and El Salvador (AAPC: 2.88%; 95% CI: 0.38; 5.43), while in Mexico, there was a reduction. In females, this rate increased in Brazil (AAPC: 1.38%; 95% CI: 1.07; 1.69), Peru (AAPC: 2.25%; 95% CI: 0.68; 3.85), Chile (AAPC: 3.62%; 95% CI:1.96; 5.31), Nicaragua (AAPC: 2.51%; 95% CI: 0.36; 4.71) and Paraguay (AAPC: 1.17%; 95% CI: 0.37; 1.98) and a downward trend was observed in Colombia and Ecuador. Conclusions Pancreatic cancer had a higher incidence in the elderly population of both sexes and an increase of the mortality trend in females was noted.
Applicability Study of a Global Numerical Weather Prediction Model MPAS to Storm Surges and Waves in the South Coast of Korea

: The south coast of Korea is vulnerable to coastal disasters, such as storm surges, high waves, wave overtopping, and coastal ﬂooding caused by typhoons. It is imperative to predict such disastrous events accurately in advance, which requires accurate meteorological forcing for coastal ocean modeling. In this study, to acquire accurate meteorological data as important forcing variables for the prediction of storm surges and waves, we examined the forecast performance and applicability of a next-generation global weather/climate prediction model, the Model for Prediction Across Scales (MPAS). We compared the modeled surface pressure and wind with observations on the south coast of Korea for three typhoons that damaged Korea in 2020—Bavi, Maysak, and Haishen—and investigated the accuracy of these observations with the MPAS prediction. Those meteorological forcing variables were then used in the tightly coupled tide-surge-wave model, Advanced CIRCulation (ADCIRC) and the Simulating Waves Nearshore (SWAN) for the simulation of a typhoon-induced storm surge and wave. We also performed the hindcast of the wave and storm surges using a parametric tropical cyclone model, the best-track-based Generalized Asymmetric Holland Model (GAHM) embedded in ADCIRC+SWAN, to better understand the forecast performance and applicability of MPAS. We compared the forecast results of the typhoon-induced wave and storm surges with their hindcast in terms of the time-series and statistical indices for both signiﬁcant wave height and storm surge height and found that wave and storm surge prediction forced by MPAS forecast provides a comparable accuracy with the hindcast. Comparable results of MPAS forcing with that of hindcast using best track information are encouraging because ADCIRC+SWAN forced by MPAS forecast with an at most four-day lead time still provides a reasonable prediction of wave and storm surges.
Sex With Robots and Human-Machine Sexualities: Encounters Between Human-Machine Communication and Sexuality Studies

Sex robots are a controversial topic. Understood as artificial-intelligence enhanced humanoid robots designed for use in partnered and solo sex, sex robots offer ample opportunities for theorizing from a Human-Machine Communication (HMC) perspective. This comparative literature review conjoins the seemingly disconnected literatures of HMC and sexuality studies (SeS) to explore questions surrounding intimacy, love, desire, sex, and sexuality among humans and machines. In particular, I argue for understanding human-machine sexualities as communicative sexuotechnical-assemblages, extending previous efforts in both HMC and SeS for more-than-human, ecological, and more fluid approaches to humans and machines, as well as to sex and sexuality. This essay continues and expands the critical turn in HMC by engaging in an interdisciplinary exercise with theoretical, design, and use/effect implications in the context of sex robots.
Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning

A hallmark of information technology use in disaster management is the wide adoption of complex information systems for risk assessment, portfolio management, and ratemaking in catastrophe insurance. Whereas the importance of catastrophe insurance to disaster preparedness is beyond dispute, catastrophe insurers are increasingly reckoning with the potential impact of inequality in insurance practices. Historically, the presence of inequalities in insurance, from redlining to pricing disparity, has had a devastating impact on minority communities. Even recently, people living in predominantly African American communities can still be charged more for the same insurance coverage than people living in other communities. Whereas the fairness of insurance ratemaking is studied in general, we identify a unique challenge for catastrophe insurance that sets it apart from other lines of insurance. Drawing upon the recent advances in machine learning for fair data valuation, we reveal striking connections between the two seemingly unrelated problems and lean on insights from machine learning to study the fairness of ratemaking methods for catastrophe insurance. Our results indicate the potential existence of disparate impact against minorities across existing methods, pointing to a unique solution that can satisfy a few commonly assumed properties of fair ratemaking for catastrophe insurance.
Controllability on a class of switched time-varying systems with impulses and multiple time delays

The problem of complete controllability is addressed for a class of switched time-varying impulsive systems under multiple input delays. Several controllability criteria are obtained with the aid of algebraic and geometric tools. Firstly, the explicit expression of solution on every impulsive interval for such systems is derived by mathematical induction and variation of parameters. Then, complete controllability is investigated for the underlying system based on the solution established. Specifically, the new necessary or/and sufficient algebraic controllability conditions are obtained without assuming that all impulse-dependent matrices are non-singular. In addition, the geometric criteria with regard to the constant matrices are further discussed when the considered system reduces to a time-invariant case. Finally, numerical examples are worked out to demonstrate the controllability tests derived in this paper. It is shown that the existence of the delayed term will potentially affect the controllability of the studied system. In contrast to the existing literatures, the criteria derived in this paper removing some constrained assumptions have less conservatism and can be used to verify the controllability of a more general linear hybrid system.
Efeito do armazenamento sobre as características químicas e sensoriais do biscoito de coco sem glúten

Due to its high consumption by the general public , the cookies are food products with a strong focus of the food industry . With long storage period the cookies lose quality due to chemical and sensory changes . Ensure the maintenance of early sensory attributes and safety for consumption is essential for the development of new food products. One of the difficulties encountered by carriers is to have access to food products without gluten with high quality sensory characteristics. The development of gluten free products with cost and sensory characteristics similar to the conventional products made with wheat flour is essential to raise the possibilities of having a diet with a new eating pattern. The objective of this study is to evaluate the effect of storage on chemical and sensory parameters of gluten-free coconut biscuit. Chemical analysis were made to analyze humidity, level of acid, peroxide content and sensory analysis through the hedonic scale test and differences by the multiple comparison test of fresh baked cookies and biscuits packaged in polyethylene bags coextrusion (PECOEX) with black internal surface, sealed and stored for 90 days at an environment temperature. During the storage period, gluten-free coconut cookies did not show any significant difference (p > 0,05) in acidity values ranging from 0,31 to 0,39 mL/100g (v/w), and showed increased humidity which ranged from 4,19 to 4,37% (w/w), and peroxide value, which ranged from 1.19 to 1.89 mEq/1000g, values that showed significant difference at the 5% level. In the hedonic scale test of fresh cookies, 97,8% of the tasters liked the cookies. Tasters found no significant difference (p > 0,05) between the fresh cookies and stored ones, so the chemical changes found during storage were not noticeable to the those who participated on the test. Based on the results of this study, it is recommended that gluten free coconut cookies, packed in PE-COEX bags and stored at environment temperature stays for sale for a period of 72 days after it´s manufacturing date.
An Intelligent Cluster-Based Routing Scheme in 5G Flying Ad Hoc Networks

Flying ad hoc network (FANET) is an application of 5G access network, which consists of unmanned aerial vehicles or flying nodes with scarce resources and high mobility rates. This paper proposes a deep Q-network (DQN)-based vertical routing scheme to select routes with higher residual energy levels and lower mobility rates across network planes (i.e., macro-plane, pico-plane, and femto-plane), which has not been investigated in the literature. The main motivation behind this work is to address frequent link disconnections and network partitions in order to enhance network performance. The 5G access network has a central controller (CC) and distributed controllers (DCs) in different network planes. The proposed scheme is a hybrid approach that allows CC and DCs to exchange information among themselves, and handle global and local information, respectively. The proposed scheme is suitable for highly dynamic ad hoc FANETs, and it enables data communication between UAVs in various applications, such as monitoring and performing surveillance of borders, and targeted-based operations (e.g., object tracking). Vertical routing is performed over a clustered network, in which clusters are formed across different network planes to provide inter-plane and inter-cluster communications. This helps to offload data traffic across different network planes to enhance network lifetime. Compared to the traditional reinforcement learning approach, the proposed DQN-based vertical routing scheme has shown to increase network lifetime by up to 60%, reduce energy consumption by up to 20%, and reduce the rate of link breakages by up to 50%.
Side Peaks Analysis and Suppression of DVB-T Signal Ambiguity Function for Passive Radar

Side peaks of digital video broadcasting-terrestrial(DVB-T) signal ambiguity function may cause false alarms in DVB-T based passive radar.Based on deducing the side peak positions and analyzing the causes of the side peaks,a method for suppressing the side peaks is proposed in this paper.Experimental results show that the proposed method can avoid false alarms of the side peaks and increase the target detection ability.
Stability of Truncated Sampled-Data Control Systems With Impulsive Effects

This article considers the stability problem of truncated sampled-data control systems with impulsive effects. We propose the concept of average sampling interval (ASI), in which the constraint on the lower/upper bound of sampling intervals is removed to handle the sampling intervals from the holistic perspective. Then, in the framework of the input delay method, we transform the addressed system into an equivalent switched time-delay system subject to the impulsive effects that result from the truncated sampled-data control law. Interestingly, it is shown that the truncation of the sampled-data control input, which is an extension of the classical zero-order hold function, can play a stabilizing role in the presence of impulsive effects. Next, based on the ASI concept, the idea of average truncated length is introduced and the corresponding relaxed stability criteria are derived for the truncated sampled-data control systems. Particularly, the potential destabilizing impact of impulsive effects on the stability is theoretically revealed. It is also shown that under certain conditions, a truncated sampled-data system can remain stable if the magnitude of the impulsive effects is sufficiently small. Finally, two illustrative examples are presented to show the validity and also the advantages of the obtained results.
Recycled Pequi (Caryocar brasiliense, Camb.) Shell Ethanolic Extract Induces Apoptosis in Canine Osteosarcoma Cells

Osteosarcoma is a mesenchymal cancer associated with high mortality in dogs and in humans. The biodiversity-rich Cerrado, the predominant biome in the Midwest region of Brazil, is native to locally appreciated fruits such as pequi ( Caryocar brasiliense , Camb). Although this plant has been frequently used in folk medicine, the pharmacological properties of pequi fruit shells have not been fully evaluated. Thus, this study aimed to determine the cytotoxic activity of ethanol extract of recycled pequi shells on canine osteosarcoma cells in vitro . Cells were cultured and treated with final extract concentrations of 0, 0.029 µg/µL, 0.29 µg/µL, and 2.91 µg/µL for 24, 48, or 72 hours. Cell viability assay using trypan blue exclusion method and tetrazolium reduction method, cell survival assay, and double labeling with annexin V and propidium iodide were performed in the treated osteosarcoma cells. These allowed the determination of IC 50 , survival fraction, and type of cell death, respectively. Pequi shell ethanol extract at a concentration of 2.91 µg/µL showed the greatest inhibition of osteosarcoma cell growth in vitro , resulting in a 71.80% decrease in growth compared to the control. The mean IC 50 was 155.2 μg/mL at 72 hours. The calculated survival fractions showed that cell growth at 72 hours was 3.33% lower in cells treated with 2.91 µg/µL extract. Results from the double labeling experiment suggest that apoptosis was the predominant type of cell death in cells treated with 2.91 µg/µL extract. These results demonstrate that ethanol extract of recycled pequi shells promotes apoptosis in canine osteosarcoma cells. iodeto de propídio para determinar o tipo de morte celular. O extrato etanólico de casca de pequi na concentração de 2,91 µg/µL apresentou a maior inibição do crescimento de células de osteossarcoma, com redução de 71,80% no crescimento em relação ao controle. A IC 50 média foi de 155,2 μg/mL em 72 horas. O crescimento celular em 72 horas foi 3,33% menor nas células tratadas com 2,91 µg/µL de extrato. A apoptose foi o tipo predominante de morte celular em células tratadas com 2,91 µg/µL de extrato. Esses resultados demonstram que o extrato etanólico de cascas de pequi recicladas promove apoptose em células de osteossarcoma canino.
Integrated Berth and Crane Scheduling Problem Considering Crane Coverage in Multi-Terminal Tidal Ports under Uncertainty

In this work, we study the integrated berth and crane scheduling problem in a tidal port with multiple terminals, considering the uncertainties, tides, maximum coverage of cranes and interference between cranes. For coping with the uncertainties, a certain number of randomly generated samples are used to evaluate the solutions, and slack variables are introduced to reduce the impact caused by the variation in vessel arrival and crane operational efficiency. A novel nonlinear mixed integer programming model is first formulated for the problem to minimize the sum of expectation and variance of costs under all samples. An improved adaptive genetic algorithm, combining a simulated annealing mechanism and greedy construction strategy, is developed and implemented by MATLAB. The feasibility and validity of the algorithm and the benefits of multi-terminal collaborative scheduling strategy under uncertainty are evaluated through numerical experiments. The results show that the algorithm can obtain feasible scheduling solutions with higher quality. Compared to the strategy that considers either the uncertainty or the multi-terminal collaborative mechanism, the resulting solution considering both can effectively reduce the cost and improve the competitiveness of the port.