Miracle-dz/UniFAR-FTUs huggingface dataset:
Lump and Lump–Kink Soliton Solutions of an Extended Boiti–Leon–Manna–Pempinelli Equation

Abstract In this paper, the extended Boiti–Leon–Manna–Pempinelli equation (eBLMP) is first proposed, and by Ma’s [1] method, a class of lump and lump–kink soliton solutions is explicitly generated by symbolic computations. The propagation orbit, velocity and extremum of the lump solutions on (x,y) plane are studied in detail. Interaction solutions composed of lump and kink soliton are derived by means of choosing appropriate real values on obtained parameter solutions. Furthermore, 3-dimensional plots, 2-dimensional curves, density plots and contour plots with particular choices of the involved parameters are depicted to demonstrate the dynamic characteristics of the presented lump and lump–kink solutions for the potential function v = 2ln( f(x))x.
AUTOMATIC LUNG CANCER DETECTION USING ARTIFICIAL AUTOMATIC LUNG CANCER DETECTION USING ARTIFICIAL INTELLIGENCE INTELLIGENCE

By far, lung cancer is the prominent cause of cancer deaths for both men and women around the world. In 2018, statistics for WCRF (Worldwide Cancer Research Fund) showed that out of 2.09 million people diagnosed with this disease, 1.76 million people died. The survival rate increases if detected in its earlier stages. Taking into consideration the complexity of the problem, many computer-aided diagnosis systems that increase the survival rate have been proposed and developed. Driven by the notable success of deep learning in the area of complex image classification problems, this paper presents the use of VGG16, VGG19, ResNet34, and ResNet50 convolutional neural network architectures or classifying images of patients with cancer. Moreover, to compare the performance evaluation Accuracy, Precision, Area Under Curve, and F1 score were calculated. In conclusion, ResNet50 architecture exhibited the best result for this classification problem, with 95.83 Precision, 88.89% Accuracy, and 88.46% F1 score. The strategy of using pre-trained deep learning models proved to be pertinent to this problem.
Professional Development for Science Teachers on Integrating STEM: A Case Study

In the United States, the Next Generation Science Standards (NGSS) bring both commitment and challenges to science education in K-12 schools. New focus areas within the NGSS are engineering education and the integration of multiple disciplines as seen in science, technology, engineering and mathematics (STEM). Providing professional development (PD) is necessary in order to assist K-12 teachers with the implementation of the NGSS in their classrooms (NGSS Lead States, 2013). This case study shares the results of a unique style of PD workshops provided for K-12 teachers on the NGSS and engineering design where participants were immersed in inquiry-based STEM activities with an earth and space science theme. Twenty-six teachers agreed to participate in the study. This qualitative research focused on self-reported data through surveys, interviews, focus groups, and observation of participants during the workshops. Findings from this case study revealed self-reported increases in teachers’ dispositions and self-efficacy regarding their implementation of the NGSS in an integrated STEM teaching context.
Effect of Ga and Zr Substitution on the Properties of Dy2Fe17−XZrX and Dy2Fe16Ga1−xZrx (0 ≤ x ≤ 1) Intermetallic Compounds Prepared via Arc Melting Process

The effects of substitution of Zr and Ga on the structural and magnetic properties of Dy2Fe17 intermetallic compound were investigated in this study. The Rietveld analysis confirmed that the crystalline system was a Th2Ni17 structure. Lattice parameters a (Å) and c (Å), unit cell volume (Å3), and bonding distance (Å) were calculated using Rietveld analysis. The unit cell volume of Dy2Fe17−xZrx and Dy2Fe16Ga1−xZrx increased linearly with Zr and Ga substitution. The Curie temperature (Tc) of Dy2Fe17−xZrx and Dy2Fe16Ga1−xZrx was found to be Zr content-dependent. The maximum Curie temperatures were observed at 510 K (x = 0.75 Zr content) for Dy2Fe17−xZrx and 505.1 K (x = 0.5 Zr content) for Dy2Fe16Ga1−xZrx, which are 102 K and 97 K higher than the value found for Dy2Fe17, respectively. The room-temperature Mössbauer analysis showed a decrease in the average hyperfine field and increases in the isomer shift with Zr doping. The overall improvement in Curie temperature with the substitution strategy of Zr–Ga substitution in 2:17 intermetallic compounds could find potential use of these magnetic compounds in high-temperature applications.
Physiological quality evaluation of Piptadenia stipulacea (Benth.) Ducke seeds by
 tetrazolium test

The tetrazolium test is one of the promising alternatives to determine the viability of dormant, recalcitrant and slow-germinating seeds. The objective of this study was to adapt the tetrazolium test methodology to estimate the viability and vigor of Piptadenia stipulacea (Benth.) Ducke seeds. For this, a sample of seeds was classified into three sublots using round sieves, corresponding to six, five and four millimeters in diameter, respectively. Moisture content, imbibition curve, germination, emergence, germination and emergence speed indices, mean germination time and seedling emergence were initially evaluated. The second stage was conducted using a completely randomized experimental design, in 3 x 9 factorial scheme, corresponding to three sublots and nine combinations between concentrations and time of immersion in tetrazolium salt (0.05%/2 h; 0.05%/4 h; 0.05%/6 h; 0.075%/2 h; 0.075%/4 h; 0.075%/6 h; 0.1%/2 h; 0.1%/4 h; 0.1%/6 h), totaling twenty-seven treatments with four replicates of 25 seeds, evaluated separately at 35 and 40 °C. For each treatment, the seeds were divided into four classes: viable and vigorous seeds (class I), viable and non-vigorous (class II), unviable (class III) and dead (class IV). The period of 8 h of pre-imbibition and 4 h of staining in tetrazolium solution at 0.075%, under 35 or 40 °C, is adequate to estimate the viability and vigor of P. stipulacea seeds.
Lane‐changing and freeway capacity: A Bayesian inference stochastic model

This article presents a new stochastic computational model for determining freeway capacity reduction as a result of lane‐changing activity. The probability density function for the maximum flow that can be sustained on a freeway for a given lane‐changing level is obtained. The results can be used to support freeway management strategies aiming to mitigate the negative consequences of lane‐changing in freeway capacity. A pilot test using empirical data obtained from the B‐23 freeway accessing the city of Barcelona proves the validity of the modeling approach.
Stereo vision-based obstacle avoidance module on 3D point cloud data

This paper deals in building a 3D vision-based obstacle avoidance and navigation. In order for an autonomous system to work in real life condition, a capability of gaining surrounding environment data, interpret the data and take appropriate action is needed. One of the required capability in this matter for an autonomous system is a capability to navigate cluttered, unorganized environment and avoiding collision with any present obstacle, defined as any data with vertical orientation and able to take decision when environment update exist. Proposed in this work are two-step strategy of extracting the obstacle position and orientation from point cloud data using plane based segmentation and the resultant segmentation are mapped based on obstacle point position relative to camera using occupancy grid map to acquire obstacle cluster position and recorded the occupancy grid map for future use and global navigation, obstacle position gained in grid map is used to plan the navigation path towards target goal without going through obstacle position and modify the navigation path to avoid collision when environment update is present or platform movement is not aligned with navigation path based on timed elastic band method.
Edge Property Based Stream Order Reduce the Performance of Stream Edge Graph Partition

The graph data is found everywhere in various disciplines, such as in social networks, biological networks, chemical compounds, and computer vision, etc. Currently, the size of graph data has dramatically increased; all disciplines have extracted knowledge from a graph by partitioning and distributing large-scale graph into different clusters using the distributed graph processing system or graph database. However, the graph partitioning has impacted to speed up or slow down the performance of those systems. Even if the stream edge graph partition has shown better partition quality than vertex graph partition for skew degree distribution of a graph and supports big graph partitioning, stream graph edge partitioners are affected by stream orders. In this study, we propose two edge properties based stream order models, TFB(Tree edges First, then Backward edges follow) and BFT(Backward edges First, then Tree edges follow). And study the effect of stream order on stream graph edge partitioners. The results show that TFB and BFT models significantly affect the quality of stream edge partition, except hashing. All algorithms show the best partitioning quality by Random order than other orders, TFB, BFT, BFS(Breadth-First Search), and DFS(Depth-First Search).
Otolith shape as a stock discrimination tool for ling (Genypterus blacodes) in the fjords of Chilean Patagonia

ABSTRACT Genypterus blacodes, in terms of its fishing history and local economic importance, is an emblematic species harvested in Chilean Patagonia (41°00’–57°00’S). Most of the current fisheries and biological knowledge of this species come from the open ocean, whereas information about the species in fjords and inner channels is fragmentary. In 2018, two research surveys targeting G. blacodes were conducted in the fjords and inner channels of Chilean Patagonia. A total of 253 pairs of sagittal otoliths were sampled at three different localities, and their contours were modelled using wavelet analysis as a tool for stock discrimination. Contours were compared using canonical analysis, and classification was performed using linear discriminant and Random Forest analyses. The results indicated that the wavelet method is efficient in modelling otolith contours, and the discriminant analyses showed differences among fishing grounds across the latitudinal gradient, thus confirming the hypothesis that G. blacodes conform to at least two separate stock units in Chilean Patagonia. Fishing grounds that were closer in space showed higher levels of misclassification. The discussion focuses on how environmental variables and the geography of fjords shape stock differences and how this information can be used for the sustainable management of G. blacodes.
Long‐term effect of mowing on the restoration of Pannonian sand grassland to replace invasive black locust plantation

Invasive species are among the main threats to grassland biodiversity, and nature conservation management seeks the best methods to eliminate them and to restore natural habitats. We studied the long‐term effect of mowing on the restoration of Pannonian sand grassland after elimination of invasive black locust (Robinia pseudo‐acacia) plantation in Hungary, Europe. Stands of R. pseudo‐acacia at three sites were felled and stumps herbicide‐treated in the winter of 1994–1995. Mowing with hay removal treatment was applied twice a year in 1995–2001 to assist grassland recovery. A block of 12 adjacent plots of 10 m by 10 m was assigned for the experiment at each site, with six control (unmowed) and six treatment (mowed) plots randomly selected. Vegetation was sampled in June and August yearly in 1995–1999 in all sites, plus in seminatural reference grasslands then re‐sampled six times until 2017 in two sites. Herbicide application with repeated mowing successfully eliminated R. pseudo‐acacia. In the unmowed plots, dense woody cover developed at all sites. Vegetation of mowed plots approached the reference grasslands in sites with better propagule availability of target species according to trajectory analyses. In these sites, higher cover of target species was found in mowed compared to unmowed plots, though still significantly lower than in the reference. Mowed plots were more prone to secondary invasion than the unmowed. The long‐term monitoring revealed that initial mowing assisted the restoration of Pannonian sand grassland, but further management is needed to control secondary invasion and increase target species cover.
Ground‐Based Auroral Hiss Recorded in Northern Finland with Reference to Magnetic Substorms

Very low frequency (VLF) auroral hiss at Kannuslehto (KAN), Finland, was analyzed with reference to the progress of 98 isolated magnetic substorms measured during the winter months of 2015–2018. Of these, 91 were accompanied by auroral hiss during the substorm growth phase. No auroral hiss was recorded during the expansion and recovery phases. We found that auroral hiss was observed under rising polar cap (PC) index, showing an increased solar wind energy input into the magnetosphere during the substorm growth phase. We also found that in 58 of the 65 events studied, KAN was located in the vicinity of enhanced field‐aligned currents (FACs) during auroral hiss occurrence. For the first time, it was established that auroral VLF hiss generation in the equatorial part of the auroral oval is a typical signature of a substorm growth phase.
Speaking of Ink: What Motivates Young Adults to Disclose Their Tattoos.

FOULKE, MEREDITH CLAIRE. Speaking of Ink: What Motivates Young Adults to Disclose Their Tattoos. (Under the direction of Dr. Lynsey Romo). Although tattoos provide ways for people to create an identity and communicate with the public and getting inked has become more mainstream, tattoos are predominantly viewed negatively. Young adults (aged 18 -24) with tattoos are at a particular disadvantage of being heavily stigmatized, because the rate that they are getting tattoos and the number of tattoos they have is rising faster than other age groups. Using Communication Privacy Management Theory (Petronio, 2002) as a theoretical framework, this study examines what motives young adults to reveal or conceal that they have a tattoo. This study found that young adults are aware of the repercussions that tattoo stigma has on perceived perceptions from others and carefully managed their privacy depending on whether they believed revealing they had a tattoo was risky or not. Young adults verbally revealed their tattoo status when they perceived disclosing helped to develop their personal identity and helped to build relationships. However, young adults concealed having tattoos when they feared disclosing could harm their professional identity and/or result in judgement from their family and friends. This research provides unique insight into the communication boundary management of young adults with tattoos. © Copyright 2018 by Meredith Foulke All Rights Reserved Speaking of Ink: What Motivates Young Adults to Disclose Their Tattoos by Meredith Claire Foulke A thesis submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the degree of Master of Science
A Multi-Attribute Group Decision-Making Method Based on Linguistic Intuitionistic Fuzzy Numbers and Dempster-Shafer Evidence Theory

In this paper, we propose a multi-attribute group decision-making (MAGDM) method based on Dempster–Shafer Evidence Theory (DST) and linguistic intuitionistic fuzzy numbers (LIFNs), in which both the expert weights and attribute weights are unknown. Firstly, we represent LIFNs as basic probability assignments (BPAs) by DST based on linguistic scale function (LSF), and a linear programming model is proposed to combine the objective weights and subjective weights of attributes to obtain the combined weights. At the same time, the experts’ weights are obtained through Jousselme distance. Secondly, we use the weights to correct the evidence, and the comprehensive evaluation value of each alternative is calculated by the combination rule of evidence. Further, a new MAGDM approach with DST and LIFNs is presented. Finally, we give an example to explain the proposed method and compare it with other methods to show the feasibility and superiority.
Comparative analysis of low-temperature PVD-based TiN nano-thin-film-coated and -uncoated TNMG inserts in dry machining

ABSTRACT Titanium nitride (TiN) is a hard-ceramic material having excellent wear and corrosion resistance properties. In this study, TiN coating has been deposited on carbide cutting inserts by a low-temperature cathodic arc phsical vapor deposition (PVD) system. Comparative analysis of machining performance, based on tool life and work piece surface roughness, has been done between the TiN-coated carbide cutting inserts and uncoated carbide cutting inserts in dry machining of medium carbon AISI 1045 steel. Design of experiments (DOE) technique along with response surface regression has been used for the optimization of machining parameters. The most significant factor affecting the surface roughness of the work piece in dry machining was found to be the feed rate. TiN-coated carbide cutting inserts showed 15% improvement in the surface roughness of work piece and 60% improvement in tool life as compared to uncoated carbide cutting inserts.
Biomimetic synthesis of nanogold using Bidens tripartitus extract and evalution of their antimicrobial and catalytic activities

Abstract This work presents the biomimetic method for synthesizing nanogold using Bidens tripartitus extract. The obtained Au nanoparticles were characterized by UV–vis spectrophotometry (UV-VIS), Transmission electron microscopy (TEM), Scanning electron microscopy (SEM) with EDS profile and Atomic Force Microscopy (AFM). The techniques used in the study confirmed the presence of Au nanoparticles with the size of about 20 nm. In order to assess the presence of biologically active compounds, Fourier transform infrared spectroscopy (FTIR) was used. The synthesized gold nanoparticles possess excellent activity against different bacteria, both Gram-positive (S. aureus) and Gram-negative (E. coli, P. aeruginosa), and fungi (yeast: C. albicans; molds: A. niger; dermatophites: T. rubrum). The study of the catalytic properties showed the excellent activity of nanogold in the reduction of organic dyes: methylene blue (MB) and methyl orange (MO).
The Continually Stable Subduction, Iron‐Spin Transition, and the Formation of LLSVPs From Subducted Oceanic Crust

Large low shear velocity provinces (LLSVPs) in the lower mantle beneath Africa and the Pacific Ocean have been widely accepted as compositionally distinct zones characterized by their large spatial scale, distinctive geometry (high topography and steep side boundaries), and long‐term stability. One possible explanation for the chemical origin of the LLSVPs is that they formed from subducted oceanic crust. However, some previous geodynamic models suggest that it is difficult for a sufficient quantity of recycled crust to accumulate in the deep mantle and form chemical structures matching those of LLSVPs. Here we show that the continually stable subduction can significantly enhance the gathering of recycled oceanic crust above the core‐mantle boundary. The resulting chemical structures in our model show high elevations and steep sides similar to those of the seismically observed LLSVPs when the effects of iron‐spin transition in ferropericlase are incorporated. These LLSVP‐like structures usually emerge 1–1.5 billion years (Gyr) after the model starts and remain recognizable at 3 Gyr. The total volume of these structures first increases to approximately double the current LLSVPs' volume and then gradually decreases over time. With a subduction pattern corresponding to extroversion supercontinent cycles, two antipodal chemical structures form similar to the current LLSVPs and survive longer than 1 Gyr.
Tranexamic acid in melasma: Why and how?

Melasma is a chronic, acquired symmetrical pigmentary disorder characterized by gray‐brown macules and patches affecting photodistributed part of the face such as the bridge of the nose, cheek, upper lip, forehead, and mandible. It is seen mostly in women of reproductive age group and has an onset usually after pregnancy. However, in around 10% of the cases, males are also affected. Causative factors that have been implicated in aggravating or precipitating melasma include sex hormones, genetic susceptibility, ultraviolet (UV) light exposure, oral contraceptive pills, cosmetics, and phototoxic drugs. [1] Epidemiologically, melasma is found in all geographical and ethnic groups but occurs more commonly in Asians and Middle Easterners. [2]
Thermomechanically induced post-buckling analysis of functionally graded material plates with circular cut-outs resting on elastic foundations

Post-buckling analysis of functionally graded material (FGM) plates resting on Winkler and Pasternak elastic foundations subjected to thermomechanical loadings with circular cut-outs at centre and random material properties is presented. The material properties of each constituent’s materials, volume fraction index, thermal expansion coefficients, foundation stiffness parameters and thermal conductivities are taken as independent basic random input variables. The basic formulation is based on applying Reddy’s higher order shear deformation theory, which requires C1 continuous element approximation. A modified form C0 continuity is applied in the present investigation. A serum-free expansion medium with mean-centred first-order regular perturbation technique for composite plates is extended for FGM plates to solve the random eigenvalue problem. Typical numerical results are presented to examine the second-order statistics for effect of the volume fractions index, plate length-to-thickness ratios, plate aspect ratios, types of loadings, amplitude ratios, support conditions and various shape and size of holes with random thermomechanical properties. The results obtained by the present solution approach are validated with published papers and the robust method of simulation. It is found that the laminates with round cuts (FGM plates resting on Winkler and Pasternak elastic foundations) have a significant influence on the post-buckling response under Thermomechanical loading conditions. Present investigations are useful for the applications and further research.
Estimació del risc de neoplàsia colorectal avançada a partir de la quantificació de l’hemoglobina fecal en el cribratge del càncer de còlon i recte

ADVERTIMENT. La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX (www.tdx.cat) i a través del Dipòsit Digital de la UB (diposit.ub.edu) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d’investigació i docència. No s’autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d’un lloc aliè al servei TDX ni al Dipòsit Digital de la UB. No s’autoritza la presentació del seu contingut en una finestra o marc aliè a TDX o al Dipòsit Digital de la UB (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora.