Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizando a computação paralela para alavancar a pesquisa científica no IFPB

A computação paralela vem sendo amplamente utilizada como ferramenta para acelerar o processo de obtenção de resultados em pesquisas experimentais. Neste artigo apresentamos o sistema OurGrid, que é uma grade computacional peer-to-peer (P2P) e oferece um ambiente de computação paralela apropriado para a realização de experimentos científicos. O sistema serve como ferramenta útil para realização de simulações científicas, possibilitando acelerar o processo de obtenção dos resultados. Descrevemos um caso de uso onde o sistema foi utilizado para resolver um problema de otimização na alocação de antenas de comunicação sem fio no estado da Paraíba. Pelos resultados obtidos podemos concluir que a ferramenta é realmente eficaz, acelerando a obtenção dos resultados em um fator de aproximadamente 30 vezes. O nosso principal objetivo é difundir esta ferramenta para que a mesma possa ser utilizada em diferentes áreas do conhecimento (Engenharia Elétrica, Química, Mineração etc.) e que isso possa alavancar a pesquisa científica nos Institutos Federais em todo o país.
A Compact Pentagonal Ring CPW-Fed Zeroth Order Resonating Antenna with Gain Enhancement

Abstract In this work, a pentagonal ring CPW-fed zeroth order resonating (ZOR) antenna with gain enhancement is proposed. Gain enhancement is achieved by means of electromagnetic bandgap structures (EBG) loaded on patch. The proposed antenna is operated in series resonant mode, therefore resonance frequency is dominated by series parameters of the conventional CRLH transmission line. The antenna comprises of a circular patch which is imposed by interdigital capacitor and EBG structures. Meandered line inductor is connected between patch and pentagonal ground plane in order to ensure miniaturization using CRLH resonant approach. Measurement results shows that proposed antenna offers ZOR resonance at 2.7 GHz with 4.81 %, 10 dB fractional bandwidth. The antenna offers simulated gain of 1.63 dBi and 80.6 % radiation efficiency at ZOR frequency. Surface current distribution shows that how these CRLH – TL components responsible for origination of ZOR mode. Proposed antenna exhibits excellent radiation patterns with cross polarization level of −53 dB in the boresight direction.
Higher order Larmor radius corrections to guiding-centre equations and application to fast ion equilibrium distributions

An improved set of guiding-centre equations, expanded to one order higher in Larmor radius than usually written for guiding-centre codes, are derived for curvilinear flux coordinates and implemented into the orbit following code VENUS-LEVIS. Aside from greatly improving the correspondence between guiding-centre and full particle trajectories, the most important effect of the additional Larmor radius corrections is to modify the definition of the guiding-centre’s parallel velocity via the so-called Baños drift. The correct treatment of the guiding-centre push-forward with the Baños term leads to an anisotropic shift in the phase-space distribution of guiding-centres, consistent with the well-known magnetization term. The consequence of these higher order terms are quantified in three cases where energetic ions are usually followed with standard guiding-centre equations: (1) neutral beam injection in a MAST-like low aspect-ratio spherical equilibrium where the fast ion driven current is significantly larger with respect to previous calculations, (2) fast ion losses due to resonant magnetic perturbations where a lower lost fraction and a better confinement is confirmed, (3) alpha particles in the ripple field of the European DEMO where the effect is found to be marginal.
Bioinspired design of stimuli-responsive artificial muscles with multiple actuation modes

Artificial muscles that can reproduce the functions and biomimetic motions of natural muscles are widely used to construct soft robots with applications in various fields. However, it is still challenging to develop stimuli-responsive artificial muscles with multiple-mode actuation. Inspired by the forearm muscles, we propose a new type of stimuli-responsive artificial muscles with multiple-mode actuation using liquid crystal elastomers (LCEs), named FILAMs (forearm muscle-inspired LCE-based artificial muscles). The proposed FILAMs consist of active LCE driving units, a passive silicone rubber flexible skeleton and two quick connectors. By selectively actuating different types of LCE driving units, the FILAMs can achieve multiple-mode actuation, such as twisting, bending, combined twisting and bending. We introduce prototypical designs for the FILAMs and demonstrate that they can be used as ‘building blocks’ to reconfigure different soft robots. Three kinds of soft robots are constructed to show extensive applications through the cooperation of a combination FILAMs, i.e. a soft assembly robot, a soft crawling robot, and a soft flexible wrist.
Probiotics formulated from indigenous bacteria from goat digestive tract and fed with fermented mixed feed Eichhornia crassipes and Zea mays cobs

Abstract. Isnawati, Muhaimin FI, Rahayu DA, Fitrihidajati H, Ratnasari E. 2023. Probiotics formulated from indigenous bacteria from goat digestive tract and fed with fermented mixed feed Eichhornia crassipes and Zea mays cobs. Biodiversitas 24: 2906-2911. The provision of cellulolytic bacteria as probiotics in goat feed is crucial to their growth and health. Therefore, this study aimed to monitor the effects of providing cellulolytic bacteria isolated from the digestive tract of goats as probiotics in feed rations. Probiotic cellulolytic bacteria were isolated from the digestive tract of goat food fed with a fermented feed containing a combination of hyacinth and corn cob. In this study, the probiotic types are also different from other studies, namely Bacillus pumilus, Bacillus brevis, and Pseudomonas diminuta. Therefore, its effects on the vegetative and generative growth from various age groups and sexes of test goats are investigated. The goats tested were divided into two groups: fed with and without probiotics, with subgroups based on their sexes (male and female) and age groups (baby, juvenile, and adult). The tested goats were fed for 35 days, and their weight gain and sperm quality were observed; in general, weight gain was observed in goats fed the probiotics. Furthermore, the quality of spermatozoa in adult male goats fed with probiotics is higher than without probiotics, which includes its viability (52.2% to 36.9%), motility (48.1% and ++++ to 33.2% and ++), volume and concentration (1.05 mL/ejaculate with 3.7×109 cells/mL to 0.55 mL/ejaculated with 2.6×109 cells/mL). Based on the results, adding cellulolytic bacterial probiotics to the feed promotes the vegetative growth of goats in different age groups, in male and female goats. Also, it improves reproductive performance in adult male test goats.
Composite finite element approximation for nonlinear parabolic problems in nonconvex polygonal domains

We study a new class of finite elements so‐called composite finite elements (CFEs), introduced earlier by Hackbusch and Sauter, Numer. Math., 1997; 75:447‐472, for the approximation of nonlinear parabolic equation in a nonconvex polygonal domain. A two‐scale CFE discretization is used for the space discretizations, where the coarse‐scale grid discretized the domain at an appropriate distance from the boundary and the fine‐scale grid is used to resolve the boundary. A continuous, piecewise linear CFE space is employed for the spatially semidiscrete finite element approximation and the temporal discretizations is based on modified linearized backward Euler scheme. We derive almost optimal‐order convergence in space and optimal order in time for the CFE method in the L∞(L2) norm. Numerical experiment is carried out for an L‐shaped domain to illustrate our theoretical findings.
Fluctuations of the Northern Hemisphere Mean Surface Air Temperature during Recent 100Years, Estimated by Optimum Interpolation

Analyses of the hemispherical or global network data of the surface air temperature during recent 100 years have been performed by several authors. Some quantitative disagreements are noticed among their results. Most of the previous works indicate no reliability of the results which is indispensable to confirm any time changes. In the present paper, the optimum interpolation is applied to the northern hemisphere network of the seasonal mean surface air temperature anomaly, and the value and its error for each season from 1876 to 1975 are determined at the grid points on 10* latitude and 30* longitude (45* longitude at 80*N only). These grid point values and their errors make possible to compute easily the northern hemisphere mean temperature anomaly, together with the errors. General tendencies of the warming from the 1880s and the cooling from the 1940s are noticed in the time series of the northern hemisphere mean, similarly to those by Mitchell (1963) and Budyko (1969). However, comparing with their results, the magnitude of range of the temperature change in the present work is much small. On this disagreement, some discussions are given.
Bone Morphogenetic Protein 13 Has Protumorigenic Effects on Hepatocellular Carcinoma Cells In Vitro

Activated hepatic stellate cells (HSCs) play a key role in hepatic fibrosis and, thus, build the “soil” for hepatocarcinogenesis. Furthermore, HSCs are known to promote the progression of hepatocellular carcinoma (HCC), but the molecular mechanisms are only incompletely understood. Recently, we newly described the expression of bone morphogenetic protein 13 (BMP13) by HSCs in fibrotic liver tissue. In addition, BMP13 has mostly been studied in the context of cartilage and bone repair, but not in liver disease or cancer. Thus, we aimed to analyze the expression and function of BMP13 in HCC. Expression analyses revealed high BMP13-expression in activated human HSCs, but not in human HCC-cell-lines. Furthermore, analysis of human HCC tissues showed a significant correlation between BMP13 and α-smooth muscle actin (α-SMA), and immunofluorescence staining confirmed the co-localization of BMP13 and α-SMA, indicating activated HSCs as the cellular source of BMP13 in HCC. Stimulation of HCC cells with recombinant BMP13 increased the expression of the inhibitors of differentiation 1 (ID1) and 2 (ID2), which are known targets of BMP-signaling and cell-cycle promotors. In line with this, BMP13-stimulation caused an induced SMAD 1/5/9 and extracellular signal-regulated kinase (ERK) phosphorylation, as well as reduced expression of cyclin-dependent kinase inhibitors 1A (CDKN1A) and 2A (CDKN2A). Furthermore, stimulation with recombinant BMP13 led to increased proliferation and colony size formation of HCC cells in clonogenicity assays. The protumorigenic effects of BMP13 on HCC cells were almost completely abrogated by the small molecule dorsomorphin 1 (DMH1), which selectively blocks the intracellular kinase domain of ALK2 and ALK3, indicating that BMP13 acts via these BMP type I receptors on HCC cells. In summary, this study newly identifies stroma-derived BMP13 as a potential new tumor promotor in HCC and indicates this secreted growth-factor as a possible novel therapeutic target in HCC.
DDoS Attack Detection and Classification Using Hybrid Model for Multicontroller SDN

A software-defined network (SDN) brings a lot of advantages to the world of networking through flexibility and centralized management; however, this centralized control makes it susceptible to different types of attacks. Distributed denial of service (DDoS) is one of the most dangerous attacks that are frequently launched against the controller to put it out of service. This work takes the special ability of SDN to propose a solution that is an implementation run at the multicontroller to detect a DDoS attack at the early stage. This method not only detects the attacks but also identifies the attacking paths and starts a mitigation process to provide protection for the network devices. This method is based on the entropy variation of the destination host targeted with its IP address and can detect the attack within the first 250 packets of malicious traffic attacking a particular host. Then, fine-grained packet-based detection is performed using a deep-learning model to classify the attack into different types of attack categories. Lastly, the controller sends the updated traffic information to neighbor controllers. The chi-squared ( x 2 ) test feature selection algorithm was also employed to reveal the most relevant features that scored the highest in the provided data set. The experiment result demonstrated that the proposed Long Short-Term Memory (LSTM) model achieved an accuracy of up to 99.42% using the data set CICDDoS2019, which has the potential to detect and classify the DDoS attack traffic effectively in the multicontroller SDN environment. In this regard, it has an enhanced accuracy level to 0.42% compared with the RNN-AE model with data set CICDDoS2019, while it has improved up to 0.44% in comparison with the CNN model with the different data set ICICDDoS2017.
ISARS 2014 Special Issue

The 17th International Symposium for the Advancement of Boundary Layer Remote Sensing (ISARS, 2014), was hosted at The University of Auckland, Auckland, New Zealand from 28–31 January 2014. ISARS is an informal association of scientists from all over the world which organizes a symposium every second year. The focus is the use of acoustical, optical and microwave techniques to probe the lower part of the atmosphere from the ground. The first ISARS symposium was in Calgary in 1981, and since then the symposium has been held in Rome (1983), Paris (1985) Canberra (1988), New Delhi (1990), Athens (1992), Boulder (1994), Moscow (1996), Vienna (1998), Auckland (2000), Rome (2002), Cambridge (2004), Garmisch-Partenkirchen (2006), Roskilde (2008), Paris (2010), Boulder (2012) and most recently in Auckland (2014). The conference series provides an opportunity for researchers to present the latest research developments in remote sensing of the atmospheric boundary layer. At ISARS 2014 there were eight sessions covering turbulent processes, complex terrain, urban environments, modeling for remote sensing, boundary layer observations, instrumentation, wind energy applications, and new techniques. There were a total of 66 presentations. The Auckland symposium also afforded an opportunity for the delegates to get together during breaks in the pleasant Neon Foyer outside the conference lecture theatre. The Icebreaker on the first afternoon included a traditional Maori welcome and performance of dances and songs. An afternoon social event in the grand Old Government House building was hosted by conference sponsors, and the Conference Dinner at the Fale Pasifica included entertainment from a pacific island group. The smaller number of delegates, compared with the number attending the Boulder symposium, allowed for much more interaction and discussion. Many delegates also took advantage of the summer weather to make tours of parts of New Zealand following the conference. Papers from the Garmisch-Partenkirchen ISARS were published in issues 4 and 5 of volume 16 (2007) of Meteorologische Zeitschrift and papers from the Roskilde ISARS were published in issues 2 and 3 of volume 18 (2009) of Meteorologische Zeitschrift. Following this tradition, a total of 7 papers from the Auckland ISARS 2014 have been extended and selected for the current Special Issue series in Meteorologische Zeitschrift. These include 4 papers on applications of lidars: wake dynamics (Trabucchi et al., 2015), wind evolution (Schlipf et al., 2015), marine boundary-layer winds (Peña et al., 2015), and LiDAR-mast deviations in complex terrain (Klaas et al., 2015). Measurements in complex terrain by both lidars and sodars is the basis of a review article (Bradley
Application of Vertical-cavity Surface-emitting Lasers for Simultaneous Laser Speckle Contrast and Intrinsic Optical Signal Imaging: Toward Chronic Portable Cortical Hemodynamic Imaging

We demonstrated simultaneous intrinsic optical signal imaging (IOSI) and laser speckle contrast imaging (LSCI) using coherence modulation of vertical-cavity surface-emitting laser (VCSEL) diodes. The unique properties of VCSELs were exploited to deliver rapidly switched coherent and non-coherent illumination suitable for high resolution LSCI and IOSI, respectively. Utilizing three near-infrared VCSELs we were able to map changes in cortical blood oxygenation and flow during ischemia. Additionally, the subtle reflectance changes associated with cortical spreading depression were imaged using non-coherent VCSEL illumination. We are currently using two-photon laserscanning microscopy to quantify the accuracy of LSCI and IOSI implementations. The small size and efficiency of VCSELs and modern photo diodes, makes the development of implantable dual-mode imaging devices feasible. Devices capable of chronic imaging of cortical hemodynamics could significantly enhance the range of studies available to neuroscientists and significantly aid clinicians postoperatively. The research presented in this thesis significantly furthers this objective.
IDEAL Model Education to Increase Knowledge and Self-Care Practices for People with HIV/AIDS (PLWHA): Quasi-Experimental Study

People with HIV/AIDS (PLWHA) often have problems with self-care processes due to a lack of knowledge and support from those around them. Education development is needed with the IDEAL model (Include, Discuss, Educate, Assess, Listen), which aims to ensure the continuity of the independent care process at home that PLHIVs carries out with their families. This study aims to determine the effect of providing IDEAL model education on increasing knowledge and self-care practices of people living with HIV/AIDS. The study used a quasi-experiment with a non-equivalent control group using a purposive sampling technique with a total sample of 46 respondents. The results of the t-test in the experimental group's level of knowledge were p-value = 0.000 and self-care p-value = 0.0001 (<0.005); the meaning was an effect before and after giving the intervention. The Manova test results obtained a p-value of 0.133 (> 0.005), meaning interventions. That there was no difference. Educational development using the IDEAL model has been proven to increase the knowledge, abilities, and self-care skills of PLWHA.
Unraveling the Information Crisis: the Implications of Advanced Technology Usage on Creativity and Imitation

This paper explores the imminent information crisis disaster surrounding advanced technologies, including Google, AI, Facebook, Twitter, and others. It sheds light on the current state of affairs, where genuine creativity is gradually being overshadowed by a proliferation of half-hearted imitations. As these advanced technologies become more pervasive, there is a growing concern that the pursuit of originality and innovation will be stifled, leading to a detrimental impact on society. This paper highlights the need to address this issue and suggests that imitative features are being increasingly rewarded over genuine creativity. By examining the implications of this trend, the paper seeks to provoke discussions on how to navigate the evolving landscape of advanced technology and preserve the essential elements of creativity in the face of the impending information crisis.
U-Shaped Assembly Line Balancing by Using Differential Evolution Algorithm

The objective of this research is to develop metaheuristic methods by using the differential evolution (DE) algorithm for solving the U-shaped assembly line balancing problem Type 1 (UALBP-1). The proposed DE algorithm is applied for balancing the lines (manufacturing a single product within a fixed given cycle time), where the aim is to minimize the number of workstations. After establishing the method, the results from previous research studies were compared with the results from this study. For the UALBP, two groups of benchmark problems were used for the experiments: (1) For the medium-sized UALBP (21–45 tasks), it was found that the DE algorithm DE/best/2 to Exponential Crossover 1 produced better solutions when compared to the other metaheuristic methods: it could generate 25 optimal solutions from a total of 25 instances, and the average time used for the calculation was 0.10 seconds/instance; (2) for the large-scale UALBP (75–297 tasks), it was found that the basic DE algorithm and improved differential evolution algorithm generated better solutions, and DE/best/2 to Exponential Crossover 1 generated the optimal solutions and achieved the minimum solution search time when compared to the other metaheuristic methods: it could generate 36 optimal solutions from a total of 62 instances, and the average time used for the calculation was 4.88 seconds/instance. From the comparison of the DE algorithms, it was found that the improved differential evolution algorithm generated optimal solutions with a better solution search time than the search time of the basic differential evolution algorithm. The basic and improved DE algorithm are the effective methods for balancing UALBP-1 when compared to the other metaheuristic methods.
Adaptive synchronization control of networked robot systems without velocity measurements

This paper addresses the adaptive synchronization control problem of networked robot systems characterized by the Lagrangian function, where exact dynamic models are unknown and velocity measurements are unavailable. A class of distributed observers, comprised of multiple dynamic variables and static variables, are established based on no a priori restriction on the boundness of the observer states. The observer is compatible for different control schemes with or without structure uncertainties. Using the estimated states given by the observer, adaptive distributed control input is developed, and then, closed‐loop dynamic models for filtered vectors are established. It is proven that our proposed control scheme permits global exact state estimation and global asymptotic synchronization while compensating for structure uncertainties. Simulations are provided to demonstrate the effectiveness of the results.
Epidemiology and risk factors for ovarian cancer

Ovarian cancer is a complex disease, mostly observed in postmenopausal women, and is associated with poor survival rates. It is the sixth most common cancer and the fifth most common cause of death due to cancer among women in developed countries. Thus, despite representing less than one third of all gynaecologic cancers, deaths due to ovarian cancer account for more than two thirds of deaths due to gynaecologic cancers. Its prevalence is higher in Western Europe and Northern America than Asia and Africa. In sub-Saharan Africa, there is a considerably lower prevalence of ovarian cancer than other parts of Africa. Ovarian cancer is multifaceted, involving many factors, complex biological processes and unpredictable consequences. Unlike other female cancers that have early warning symptoms, ovarian cancer’s symptoms are non-specific. As a result, ovarian cancers are normally undetected until advanced stages (III or IV). The major risk factors for ovarian cancer include older age, genetics, family history, hormone replacement therapy, nulliparity, and dietary fat. Controversial factors include obesity, infertility, talc powder, radiation exposure, fertility medications and in vitro fertilization. The current review discusses the aetiology, epidemiology and risk factors for ovarian cancer. Nevertheless, identification of the main risk factors for ovarian cancer may increase the awareness among women of the general population. This should help to decrease the incidence rate of ovarian cancer and increase the five-year survival rate.