Miracle-dz/UniFAR-FTUs huggingface dataset:
Computing Restricted Voronoi Diagram on Graphics Hardware

The 3D restricted Voronoi diagram (RVD), defined as the intersection of the 3D Voronoi diagram of a pointset with a mesh surface, has many applications in geometry processing. There exist several CPU algorithms for computing RVDs. However, such algorithms still cannot compute RVDs in realtime. In this short paper, we propose an efficient algorithm for computing RVDs on graphics hardware. We demonstrate the robustness and the efficiency of the proposed GPU algorithm by applying it to surface remeshing based on centroidal Voronoi tessellation.
fNIRS for Tracking Brain Development in the Context of Global Health Projects

Over the past 25 years, functional near-infrared spectroscopy (fNIRS) has emerged as a valuable tool to study brain function, and it is in younger participants where it has found, arguably, its most successful application. Thanks to its infant-friendly features, the technology has helped shape research in the neurocognitive development field by contributing to our understanding of the neural underpinnings of sensory perception and socio-cognitive skills. Furthermore, it has provided avenues of exploration for markers of compromised brain development. Advances in fNIRS instrumentation and methods have enabled the next step in the evolution of its applications including the investigation of the effects of complex and interacting socio-economic and environmental adversities on brain development. To do this, it is necessary to take fNIRS out of well-resourced research labs (the majority located in high-income countries) to study at-risk populations in resource-poor settings in low- and middle-income countries (LMICs). Here we review the use of this technology in global health studies, we discuss the implementation of fNIRS studies in LMICs with a particular emphasis on the Brain Imaging for Global Health (BRIGHT) project, and we consider its potential in this emerging field.
An Evaluation of Methods for Combining Univariate Time Series Forecasts

This thesis presents and evaluates nineteen methods for combining up to eleven automated univariate forecasts. The evaluation is made by applying the methods on a dataset containing more than 1000 monthly time series. The accuracy of one period ahead forecasts is analyzed. Almost 3.2 million forecasts are evaluated in the study. Methods that are using past forecasts to optimally produce a combined forecast are included, along with methods that do not require this information. A pre-screening procedure to get rid of the poorest performing forecasting methods before the remaining ones are combined is evaluated. The results confirm that it is possible to achieve a superior forecast accuracy by combining forecasts. The best methods that utilize past forecasts tend to outperform the best methods that are not considering this data. Including a pre-screening procedure to remove inferior forecasts before combining forecasts from the top five ranked methods seems to increase the forecast accuracy. The pre-screening procedure consists of ranking the automated univariate forecasting methods using an independent, but relevant, dataset. The four best performing methods utilize the pre-screening procedure together with past forecasts to optimally combine forecasts. The best method computes the historical mean squared error of each individual method and weights them accordingly. Demand for automated procedures is growing as the size of datasets increases within organizations. Forecasting from a large set of time series is an activity that can take advantage of automated procedures. However, choosing which forecasting method to use is often problematic. One way of solving this is by combining multiple forecasts into a single forecast. (Less)
Maximal element with applications to Nash equilibrium problems in Hadamard manifolds

ABSTRACT The purpose of this paper is to study the existence of maximal elements with applications to Nash equilibrium problems for generalized games in Hadamard manifolds. By employing a KKM lemma, we establish a new maximal element theorem in Hadamard manifolds. As applications, some existence results of Nash equilibria for generalized games are derived. The results in this paper unify, improve and extend some known results from the literature.
Flexible Graphene‐, Graphene‐Oxide‐, and Carbon‐Nanotube‐Based Supercapacitors and Batteries

Flexible energy‐storage devices increasingly attract attention owing to their advantages of providing lightweight, portable, wearable, or implantable capabilities. Many efforts are made to explore the structures and fabrication processes of flexible energy‐storage devices for commercialization. Here, the most recent advances in flexible energy‐storage devices based on graphene, graphene oxide (GO), and carbon nanotubes (CNTs), are described, including flexible supercapacitors and batteries. First, properties, synthesis methods, and possible applications of those carbon‐based materials are described. Then, the development of carbon‐nanotube‐based flexible supercapacitors, graphene/graphene‐oxide‐based flexible supercapacitors, and graphene‐ and carbon‐nanotube‐based flexible battery electrodes are discussed. Finally, the future trends and perspectives in the development of flexible energy‐storage devices are highlighted.
Size-Dependent Protein Adsorption on a Nanoparticle

This study presents the mechanism of adsorption of a model protein within an electrical double layer (EDL) of a charged silica NP in an aqueous salt medium. In contrast to previous works, the charge regulation model analyzes the surface chemistry and electrostatic charge within the EDL by considering polarization, morphology, topography, and protonation/deprotonation. This model is coupled with the three protein adsorption models, such as Classical Langmuir (CLM), Extended Langmuir (ELM), and Two-State (TSM). By this means, surface curvature, conformational changes, and size- and pH-dependent characteristics of protein adsorption are allowed to be observed together in the present numerical model. For a parametric investigation, ionic concentration and pH of the solution, surface charge density, initial protein concentration, electrostatic charge of the protein, and the diameter of the NP are varied systematically. The validation studies with the experimental data agree well with the literature. The size-dependent protein adsorption is simulated and revealed with the current numerical model. Space charge density, chemistry, and morphology of NP’s surface profoundly influence adsorption characteristics.
Almost local generation of Einstein-Podolsky-Rosen entanglement in nonequilibrium open systems

local driving. The immediate effect of local driving on modes A and B is single-mode squeezing. Dissipation in the reduced dynamics of the bipartite system transforms this single-mode squeezing into two-mode squeezing (when viewing symmetric and antisymmetric modes) or entanglement (when viewing local modes A and B). This effect is found over a wide temperature range. Suitable pulse shapes yielding significant entanglement can be found even for the case of driving only mode A. These findings are of potential relevance for current experiments with superconducting circuits. They also open new possibilities for teleportation without an explicit state transfer.
On 3D Cluster-Based Channel Modeling for Large-Scale Array Communications

With the rapid development of wireless communications, the understanding of three-dimensional (3D) propagation channels becomes essential for design and testing of some new wireless technologies, e.g., massive multiple-input multiple-output (MIMO) and full dimensional beamforming. To not only fully exploit the 3D multiplexing but also circumvent the size limitation of base station (BS), antenna elements in massive MIMO are usually arranged both horizontally and vertically. Based on an elaborate channel measurement campaign conducted at 11 GHz in a lobby environment, a 3D extended cluster-based channel model is proposed in this paper for massive multiple-input single-output (MISO) multi-user communications. In the model, the channel characteristics in both azimuth and elevation dimensions, and the visibility regions which are parametrized by observed cluster lengths across the large-scale array in both horizontal and vertical directions, are taken into consideration. Moreover, the spherical wavefront phenomenon observed from the measurements is also incorporated in the model. Model parametrization, implementation, and validation are presented in detail. Validations show that the proposed model can accurately reflect the realistic channel, and the spatial non-stationarity and the spherical wavefront should be carefully considered in the channel models for large-scale array communications.
CVD VE PECVD TEKNİĞİ KULLANILARAK BAKIR FOLYOLAR ÜZERİNDE GRAFEN NANOYAPILARIN ELDE EDİLMESİ VE KARAKTERİZASYONU

Bu calismada, CH 4 gazi kullanilarak bakir folyolar uzerinde grafen ince filmlerin sentezlenmesi amaclanmistir. Ince filmlerin elde edilebilmesi icin plazma destekli kimyasal buhar biriktirme (PECVD) ve kimyasal buhar biriktirme (CVD) yontemi kullanilmistir. Bakir alt-taslar, standart on temizlik yapildiktan sonra kuvars camdan yapilmis reaktore yerlestirilmistir. Vakum odasinin taban basinci 5-10 mTorr’a dusuruldukten ve hidrojen gazi ile tavlama islemi yapildiktan sonra, CH 4 gazi ortama gaz akis kontrol unitesi yardimiyla gonderilmistir. PECVD sisteminde; RF guc kaynagi (13,56 MHz), kontrol unitesi vasitasiyla aktif hale getirilerek, uretilen enerji ortama gonderilmistir. Islem basinci 100 mTorr, sicaklik 600 ˚ C, RF gucu 50 W ve kaplama suresi ise 20 dakika olarak ayarlanmistir. CVD tekniginde ise, RF gucu ortadan kaldirilmis ve buyutme sicakligi 1000 ˚ C olarak belirlenmistir. Elde edilen Grafen nanoyapilarin karakterizasyonu icin Raman, SEM ve TEM analizleri gerceklestirilmistir. Raman sonuclarina gore, CVD yontemiyle elde edilen yapilar, tek tabaka grafen yapisini dogrulamistir. Bununla beraber PECVD teknigi ile tek tabaka grafen nanoyapilardan ziyade cok tabakali yapi elde edildi.
Validation des propriétés d'un scénario UML/OCL à partir de sa dérivation en B

La derivation de specifications UML vers B est consideree comme une approche appropriee pour utiliser conjointement UML et B dans un developpement unifie, pratique et rigoureux de logiciels. On peut utiliser la specification UML/OCL pour modeliser un systeme et il est possible d'utiliser des outils supports puissants de B comme AtelierB pour analyser les specifications B derivees afin d'identifier les defauts au sein de specifications UML/OCL. Cet article aborde le couplage UML et B a l'aide d'un scenario presente sous la forme d'un diagramme de classes, d'expressions OCL et de diagrammes de collaboration. En se basant sur l'analyse des obligations de preuves de B, la specification UML et des contraintes OCL, nous construisons une derivation d'un scenario UML en B en ameliorant et resolvant les limites de la derivation de diagrammes de collaboration proposee par Ledang et verifions egalement les proprietes de specifications UML/OCL.
Closed-Loop Neuromuscular Electrical Stimulation Method Provides Robustness to Unknown Time-Varying Input Delay in Muscle Dynamics

Neuromuscular electrical stimulation (NMES) is commonly used to rehabilitate people with motor impairment (e.g., following stroke or spinal cord injury). Closed-loop NMES holds the promise to facilitate coordinated limb motion, but technical challenges remain. In particular, there is a potentially destabilizing delay between the application of the electrical stimulation and the ensuing muscle contraction, which changes as muscle fatigues. In this brief, a closed-loop NMES method is developed to yield lower limb tracking, despite an unknown time-varying input delay, uncertain nonlinear limb dynamics, and additive bounded disturbances. A novel filtered error signal is designed using the past states in a finite integral over a constant estimated delay interval. The control development is based on an approach that uses Lyapunov–Krasovskii functionals in a Lyapunov-based stability analysis to prove ultimately bounded tracking. Experimental results in healthy individuals and participants with neurological conditions are provided to demonstrate the performance of the developed controller.
Wirelessly-Powered Sensor Networks: Power Allocation for Channel Estimation and Energy Beamforming

Wirelessly-powered sensor networks (WPSNs) are becoming increasingly important in different monitoring applications. We consider a WPSN where a multiple-antenna base station, which is dedicated for energy transmission, sends pilot signals to estimate the channel state information and consequently shapes the energy beams toward the sensor nodes. Given a fixed energy budget at the base station, in this paper, we investigate the novel problem of optimally allocating the power for the channel estimation and for the energy transmission. We formulate this non-convex optimization problem for general channel estimation and beamforming schemes that satisfy some qualification conditions. We provide a new solution approach and a performance analysis in terms of optimality and complexity. We also present a closed-form solution for the case where the channels are estimated based on a least square channel estimation and a maximum ratio transmit beamforming scheme. The analysis and simulations indicate a significant gain in terms of the network sensing rate, compared to the fixed power allocation, and the importance of improving the channel estimation efficiency.
WOMEN ENTREPRENEURS IN THE COFFEE PROCESSING AND RETAIL INDUSTRYIN THE PROVINCE OF KALINGA,PHILIPPINES.

This research aims to probe and describe the journey of five women coffee entrepreneurs-their beginnings, their mindset, motivation, and experiences, to find why women engage in the coffee industry and how they succeeded. The researcher found that the participants engaged in the coffee industry because of their family's history of poverty, determination to have a better future, and in pursuit of their passion. Success and Prosperity are the focus of their mindset. They all envision themselves living a successful and prosperous position 10 to 20 years from now because of the industry they have chosen. They all want to raise their standard of living, from an impoverished life to a more comfortable situation. The initial observations and interviews led to the idea that they start a business to gain independence and gain fulfillment with work, but it turns out that the main reason that motivates women to start a business is to make money and increase their income. The researcher, therefore, recommends that there should be an enhancement of present policies associated with women's welfare in entrepreneurship and the current government projects and programs relating to the latter should be advanced. Moreover, a prolific and relevant compilation of other success stories of women in the field of entrepreneurship who exemplified passion in business is encouraged to inspire students
Massive MIMO for Drone Communications: Case Studies and Future Directions

Unmanned aerial vehicles (UAVs), also known as drones, are proliferating. Applications, such as surveillance, disaster management, and drone racing, place high requirements on the communication with the drones in terms of throughput, reliability, and latency. The existing wireless technologies, notably Wi-Fi, that are currently used for drone connectivity are limited to short ranges and low-mobility situations. New, scalable technology is needed to meet future demands on long connectivity ranges, support for fast-moving drones, and the possibility to simultaneously communicate with entire swarms of drones. Massive multiple-input and multiple-output (MIMO), the main technology component of emerging 5G standards, has the potential to meet these requirements.
Psychophysiology of Chronic Stress: An Example of Mind-body Interaction

We present an example of mind-body interaction through the psychophysiology of chronic stress. We show the dynamic pattern of effects on the mind and body associated with chronic stress response and recognize how the mind coordinates the body systems to sustain internal equilibrium for optimal function. In fact many other bodily illnesses are caused by an interaction of mental and physical subtleties. It is important to note that these psychophysiological disorders bring actual physical damage. This review provides a clear direction in understanding how the mind controls the stress response, facilitates positive change, and improves the ability to cope with stress that can be the key to successful healing for overall physical and mental health.
Indonesian-English Machine Translation Using Rule-Based Method

Rule-Based Machine Translation (RBMT) used a set of linguistic information to translate source language to target language. POS tagger and Shift-Reduce-Parsing (SRP) could be used to get the linguistic information. POS tagger was used to get word class of each word in sentence and SRP was used to get the function of each word in sentence. SRP was also used to get the structure of sentence. In this research, POS tagger and SRP were used to get the linguistic information of source sentence. Translation process was done by using billingual dictionary. Last, a set of rules was used to generate the target sentence. The accuracy of Indonesian-English machine translation was 100% for the S-P-Adv pattern, but for the S-P pattern and S-P-O pattern is 93,33%.
Decomposition-Based Multiobjective Optimization with Invasive Weed Colonies

In order to solve the multiobjective optimization problems efficiently, this paper presents a hybrid multiobjective optimization algorithm which originates from invasive weed optimization (IWO) and multiobjective evolutionary algorithm based on decomposition (MOEA/D), a popular framework for multiobjective optimization. IWO is a simple but powerful numerical stochastic optimization method inspired from colonizing weeds; it is very robust and well adapted to changes in the environment. Based on the smart and distinct features of IWO and MOEA/D, we introduce multiobjective invasive weed optimization algorithm based on decomposition, abbreviated as MOEA/D-IWO, and try to combine their excellent features in this hybrid algorithm. The efficiency of the algorithm both in convergence speed and optimality of results are compared with MOEA/D and some other popular multiobjective optimization algorithms through a big set of experiments on benchmark functions. Experimental results show the competitive performance of MOEA/D-IWO in solving these complicated multiobjective optimization problems.
The making of hypervirulent Klebsiella pneumoniae

Klebsiella pneumoniae is a notorious bacterium in clinical practice. Virulence, carbapenem‐resistance and their convergence among K. pneumoniae are extensively discussed in this article. Hypervirulent K. pneumoniae (HvKP) has spread from the Asian Pacific Rim to the world, inducing various invasive infections, such as pyogenic liver abscess, endophthalmitis, and meningitis. Furthermore, HvKP has acquired more and more drug resistance. Among multidrug‐resistant HvKP, hypervirulent carbapenem‐resistant K. pneumoniae (Hv‐CRKP), and carbapenem‐resistant hypervirulent K. pneumoniae (CR‐HvKP) are both devastating for their extreme drug resistance and virulence. The hypervirulence of HvKP is primarily attributed to hypercapsule, macromolecular exopolysaccharides, or excessive siderophores, although it has many other factors, for example, lipopolysaccharides, fimbriae, and porins. In contrast with classical determination of HvKP, that is, animal lethality test, molecular determination could be an optional and practical method after improvement. HvKP, including Hv‐CRKP and CR‐HvKP, has been progressing. R‐M and CRISPR‐Cas systems may play pivotal roles in such evolutions. Hv‐CRKP and CR‐HvKP, in particular the former, should be of severe concern due to their being more and more prevalent.
Estabilidad estructural y dinámica de Fe, Fe3S y aleaciones FexS1-x a condiciones del núcleo terrestre

En este trabajo se discuten las propiedades estructurales de varias fases cristalinas de Fe y Fe3S, su estabilidad estructural, dinamica, magnetica y el comportamiento de dichas estructuras bajo presion. Nuestros resultados muestran que la fase hexagonal de Fe asi como aquella de tipo tetragonal de Fe3S son las mas estables a condiciones de alta presion. Adicionalmente, se estudia el efecto de la inclusion sistematica de S en fases solidas de Fe para la composicion del nucleo interno terrestre y asi comparar con estimados experimentales derivados de estudios sismologicos. Nuestros resultados muestran que el S incorporado en bajas concentraciones estabiliza la fase BCC del Fe a 350 GPa y 0 K, que las estructuras dinamicamente estables corresponden al Fe puro HCP, Fe3S y FeS, asi como aleaciones de FexS1-x con una concentracion menor a 9.1 wt %. Con base en estos resultados de estabilidad se discuten las implicaciones para la maxima cantidad de S presente en el nucleo interno y su composicion. Finalmente se hace un estudio de la incorporacion de Fe entre dos fases solidas y se da un estimado del componente solido del particionamiento de S, relevante para el entendimiento de la composicion y distribucion de S entre el nucleo interno solido y el externo liquido. Esta cantidad es fundamental para comprender el proceso de distribucion de S, los diagramas de fase de aleaciones y asi el entendimiento de la evolucion de la tierra y su proceso de diferenciacion.
A SURVEY ON ATTACKS AND APPROACHES OF INTRUSION DETECTION SYSTEMS

- Now a day’s information of an organization floating over the internet that increases the traffic on the network, heavily uses of the internet give rise in traffic on the network as well as made the network data vulnerable. All this happened because of easy to access the data on the internet. So we needed a security mechanism to protect the sensitive data over the network. For protecting that information Intrusion Detection System (IDS) is placed in the system. IDS is a software or hardware device that deals with attacks by collecting information from a variety of system and network sources, then analyzing the symptoms of security problems. Network Intrusion Detection (NID) is an Intrusion Detection mechanism that attempts to discover unauthorized access to a computer network by analyzing traffic on the network. Host based Intrusion Detection (HID) analyses the user activities and decides that the user is authorized or not. There are lots of ways to implement an IDS system, and it depends on the usage of the systems or the requirements of an organization. This paper describes some or all of the main techniques to implement IDS. This paper aims towards the proper survey of intrusion detection system, the attacks and techniques to implement IDS, so that researchers can make use of it and can find the new techniques or ways to efficient implementation of IDS.