Miracle-dz/UniFAR-FTUs huggingface dataset:
Extended elliptic skyrmion gratings in epitaxial MnSi thin films

A detailed investigation of the magnetization processes in epitaxial MnSi thin film reveals the existence of elliptically distorted skyrmion strings that lie in the plane of the film. We provide proof that the uniaxial anisotropy stabilizes this state over extended regions of the magnetic phase diagram. Theoretical analysis of an observed cascade of first-order phase transitions is based on rigorous numerical calculations of competing chiral modulations, which shows the existence of helicoids, elliptic skyrmions, and cone phases.
Linguistic and Psychometric Validation of the Thai Version of Simplified Diabetes Knowledge Scale: A Measure of Knowledge of Diabetes in a Thai Population

Purpose To develop a linguistically and psychometrically validated Thai version of the Simplified Diabetes Knowledge Scale (T-SDKS) for adults with Type 2 diabetes mellitus (T2DM). Design A cross-sectional study was carried out among people with T2DM. Methods Consecutive sampling was undertaken to recruit participants at the outpatient diabetes clinic of a hospital in Northern Thailand. Results A total of 502 patients with T2DM were recruited. The mean age of the participants was 60.2 years, and 60.5% were female. The T-SDKS attained a reliability coefficient of . 79. The item-total correlation value was greater than 0.20 for each item, and the inter-item correlation ranged between 0.03 and 0.49. Respondents attained a mean percentage knowledge score of 42.39% ± 15.45 on T-SDKS. Discussion/conclusions The T-SDKS has demonstrated to be a brief and simple diabetes knowledge assessment tool to use in a busy clinical setting. Implication for practice The findings can be used to improve health education interventions.
Real Time Event Detection Adopting Incremental TF-IDF based LSH and Event Summary Generation

Recently, twitter users are leveraged to detect social and physical events such as festivals and traffic jam at real time. Real time event detection and summarization from Cricket sports is the process of detecting events such as boundary at real time from live Cricket tweet stream as soon as event happens and generating a quick game summary. This is an interesting, yet a complex problem. Because of the need for rapid detection of sports events and for the generation of a concise summary from huge volume of tweets for Cricket enthusiasts. In this paper, a novel framework is proposed for detecting key events from live Cricket tweets and for generating a game summary using the crawled tweets. Feature vectors of live tweets are created using incremental TF-IDF representation and tweet clusters are discovered using Locality Sensitive Hashing (LSH) where the post rate of each cluster determines the key event. A key event is recognized from that cluster using our domain specific event lexicon. Then, important moments from the crawled tweets are computed by identifying the spikes in the tweets volume. Top-k tweets from each moment are selected by ranking tweets on top-k words.
Recent Advances in Surgical Techniques for Multimodality Treatment of Malignant Pleural Mesothelioma

Malignant mesothelioma is a tumour which arises from mesothelial or possibly more primitive sub-mesothelial cells. It occurs most commonly in the pleura, but also in the peritoneum and rarely in the pericardium or tunica vaginalis testis [1]. The vast majority of cases (almost 80%) arise from the pleural mesothelium, and of these, most (60-70%) are associated with asbestos exposure [2]. The first clear evidence of a causal link between asbestos exposure and primary malignant tumours of the mesothelium was the observation by Wagner et al. (1960) of 33 cases of pleural mesothelio‐ ma in the Northwest Cape Province of South Africa, 28 in individuals who had lived close to the crocidolite mines, mostly as children [3]. Subsequent studies, especially work by Selikoff and associates (1965) and Whitwell and Rawcliffe (1971) in the United States, confirmed that asbes‐ tos exposure was the major risk factor for malignant pleural mesothelioma [4–6]. The epidemiol‐ ogy of malignant pleural mesothelioma is now well understood, but its biological behavior remains an enigma and the treatment of this cancer is still controversial.
Knowledge Sharing Behavior: The Role of Spatial Design in Buildings

Knowledge sharing during unplanned face-to-face meetings between employees is indispensable for innovation-based organizations. Spatial design of office buildings has been proven to influence the number of meetings dyads have at work, but research on the behavior during such meetings remains scarce. This article analyzes how several spatial variables relate to employee behavior during such meetings (joint activities, location, intentionality, and issues addressed). A 1-week diary of 138 employees from one research organization provided data on 918 knowledge-sharing meetings. Analysis of the building layout showed that behavior is particularly different at a very local level within the building. Chi-square tests showed that inter-visibility and proximity are most strongly associated with where knowledge was shared, while sharing a room and overhearing related significantly to how knowledge was shared.
Luminescence from bismuth-germanate glasses and its manipulation through oxidants

We report on the luminescence properties of bismuth-germanate glasses in which the speciation of bismuth is controlled via addition of CeO2 as an oxidant. A glass system with the composition (70.5-x)GeO2 – 24.5Bi2O3 – 5WO3: xCeO2, with x = 0.2. 0, is analyzed in terms of optical properties and redox states of bismuth and cerium. We show that optical transmission and luminescence in the visible to near-infrared (NIR) spectral range can be adjusted by the ratio of bismuth and cerium. Specifically, ultra-broad NIR luminescence spanning the range of 1000 – 1600 nm can be obtained for x ≤ 0.1. This is of particular interest for application of this type of glass in fiber-optical amplifiers where no additional dopants would be required.
Preliminary Monte Carlo based Inverse Model to Extract Optical Tissue Properties from Experimental Diffuse Reflectance Measurements - Coefficients Extraction for Gastrointestinal Dysplasia Detection

This work is funded by FEDER funds through the "Eixo I do Programa Operacional Fatores de Competitividade (POFC) QREN, project reference COMPETE: FCOMP-01-0124-FEDER-020241, and by FCT- Fundacao para a Ciencia e a Tecnologia, project reference PTDC/EBB-EBI/120334/2010. S. Pimenta thanks the FCT for the SFRH/BD/87605/2012 PhD grant.
NEMO : Neuro-Evolution with Multiobjective Optimization of Deep Neural Network for Speed and Accuracy

This paper proposes automatic machine learning approach (AutoML) of deep neural networks (DNNs) using multi-objective evolutionary algorithms (MOEAs) for the accuracy and run-time speed simultaneously. Traditional methods for optimizing DNNs have used Bayesian reasoning or reinforcement learning to improve the performance. Recently, evolutionary approaches for high accuracy has been adopted using a lot of GPUs. However, real-world applications require rapid inference to deploy on embedded devices while main-taining high accuracy. To consider both accuracy and speed at the same time, we propose Neuro-Evolution with Multiobjective Optimization (NEMO) algorithm. Experimental results show that proposed NEMO ﬁnds faster and more accurate DNNs than hand-crafted DNN architectures. The proposed technique is veriﬁed for the image classiﬁcation problems such as MNIST, CIFAR-10 and human status recognition.
Subsidence and uplift by slab-related mantle dynamics: a driving mechanism for the Late Cretaceous and Cenozoic evolution of continental SE Asia?

Abstract Continental SE Asia is the site of an extensive Cretaceous–Paleocene regional unconformity that extends from Indochina to Java, covering an area of c. 5 600 000 km2. The unconformity has previously been related to microcontinental collision at the Java margin that halted subduction of Tethyan oceanic lithosphere in the Late Cretaceous. However, given the disparity in size between the accreted continental fragments and area of the unconformity, together with lack of evidence for requisite crustal shortening and thickening, the unconformity is unlikely to have resulted from collisional tectonics alone. Instead, mapping of the spatial extent of the mid–Late Cretaceous subduction zone and the Cretaceous–Paleocene unconformity suggests that the unconformity could be a consequence of subduction-driven mantle processes. Cessation of subduction, descent of a northward dipping slab into the mantle, and consequent uplift and denudation of a sediment-filled Late Jurassic and Early Cretaceous dynamic topographic low help explain the extent and timing of the unconformity. Sediments started to accumulate above the unconformity from the Middle Eocene when subduction recommenced beneath Sundaland.
Effects of arbuscular mycorrhizal fungi on herbivory defense in two Solanum (Solanaceae) species

Arbuscular mycorrhizal fungi (AMF) are abundant soil organisms that have wide-ranging impacts on plants and ecosystems. About 80% of land plants form symbiotic relationships with AMF (Schüßler et al. 2001), and these associations can affect plant growth, fitness, and community diversity (Klironomos et al. 2000, Smith & Read 2008, Jung et al. 2012). AMF hyphal networks reach parts of the surrounding soil that plant roots cannot and transfer nutrients, such as phosphate and nitrogen, to the plant in exchange for carbohydrates synthesized during photosynthesis (Smith & Smith 2011). The general increase in plant fitness due to AMF was historically attributed solely to the improved nutrition AMF provide (Pfleger & Linderman 1994), but more recent studies have found that plants colonized by AMF undergo physiological changes that alter their resistance to aboveand belowground antagonists (Pozo et al. 2002, Koricheva et al. 2009, Song et al. 2013, Vannette et al. 2013, Cameron et al. 2013). AMF may influence plant defenses by interacting with the jasmonic acid (JA) pathway (Pozo & Azcón-Aguilar 2007). Jasmonic acid is an essential hormone in the immune system of plants (Bari & Jones 2009, Pieterse et al. 2009), and when a plant is attacked by an insect herbivore, JA is produced, signaling cells to begin production of defensive compounds (Pozo et al. 2004). In many plants, this induced resistance includes the general defensive chemicals peroxidase (POD), polyphenol oxidase (PPO) and protease inhibitors (PI) (Farmer & Ryan 1992, Constabel & Ryan 1998, Moore et al. 2003), enzymes that have been shown to have inhibitory effects on insect herbivores. In Populus spp. , POD inhibits herbivore growth by oxidizing phenols in the guts of caterpillars, damaging amino acids and denaturing proteins
Quadratic Programming Algorithms for Fast Model-Based Predictive Control

This thesis deals with quadratic programming (QP) algorithms for the use in fast model based predictive control applications. First, general overview of model based predictive control and quadratic programming is given. Then, several QP algorithms – active set method, fast gradient method and interior point method – are described. Then, these algorithms are tested on model predictive control example and on randomly generated QPs. We treat especially computation time required to obtain a solution, the factors that influence the run-time (condition number, correction horizon etc.) and also the typical properties related to the computation time of the above mentioned algorithms. Finally, the thesis deals with robust control performance of model predictive controller without constraints. With selected plants, the effect of plant model mismatch on the robust quality of control is studied in conjunction with correction horizon length.
Ocean‐scale prediction of whale shark distribution

Aim Predicting distribution patterns of whale sharks (Rhincodon typus, Smith 1828) in the open ocean remains elusive owing to few pelagic records. We developed multivariate distribution models of seasonally variant whale shark distributions derived from tuna purse‐seine fishery data. We tested the hypotheses that whale sharks use a narrow temperature range, are more abundant in productive waters and select sites closer to continents than the open ocean.
Tuning toroidal dipole resonances in dielectric metamolecules by an additional electric dipolar response

With the rise of artificial magnetism and metamaterials, the toroidal family recently attracts more attention for its unique properties. Here we propose an all-dielectric pentamer metamolecule consisting of nano-cylinders with two toroidal dipolar resonances, whose frequencies, EM distributions and Q factor can be efficiently tuned due to the additional electric dipole mode offered by a central cylinder. To further reveal the underlying coupling effects and formation mechanism of toroidal responses, the multiple scattering theory is adopted. It is found that the first toroidal dipole mode, which can be tuned from 2.21 to 3.55 $\mu$m, is mainly induced by a collective electric dipolar resonance, while the second one, which can be tuned from 1.53 to 1.84 $\mu$m, relies on the cross coupling of both electric and magnetic dipolar responses. The proposed low-loss metamolecule and modes coupling analyses may pave the way for active design of toroidal responses in advanced optical devices.
Compensation Characteristics of the Distorted WDM Signals Depending on the Variation Degree of RDPS Random Variables in the Optical Links with Dispersion Management and Optical Phase Conjugation

The effects of the variation degree of residual dispersion per span (RDPS) random variables on the compensation characteristics of the distorted signals in optical links with the dispersion management (DM) and the mid-way optical phase conjugator (OPC) are investigated in this paper. In order to obtain this goal, the effective launch power range and the effective net residual dispersion (NRD) range are induced as a function of the variation degree of RDPS random variables. We confirm that it is needed to select the RDPS random variables of the narrow deviation in each fiber spans for implementing the flexible optical links transmitting the relative higher launch power. Also, we confirmed that it is more advantageous to use postcompensation rather than precompensation for expanding the effective NRD range.
A Survey on Approaches Used in Classfication of Leaf Images

Plants play an important role in the earth’s ecology. Without plants, human lives cannot exists in this world. But in the recent days, people are not having knowledge about many types of valuable plants. They are at the risk of extinction. So, it is necessary to protect plants and to catalogue various types of flora diversities and it is important to maintain plant databases which pave a way towards conservation of earth’s biosphere. In the world wide, there are a huge number of plant species available. To handle such volumes of information, development of a quick and efficient classification tool using machine learning algorithms is needed. In addition to the conservation aspect, recognition of plants paves a way to use those plants as an alternative energy source. In this paper, various techniques used to classify the leaf images using machine learning algorithms are studied.
Requirements with Regard to Nursing Consultation by mental Health Consultation Liaison Nurses and Suggestions for their Intervention

Objective: This study aimed to analyze requirements with regard to nursing consultation by mental health consultation liaison nurses (MHCLNs) and examine suggestions for MHCLN intervention. Methods: Subjects included 4 MHCLNs from a university hospital with approximately 1400 hospital beds located in the Tokyo metropolitan area and 143 patients and family members who either volunteered or were requested to participate by nurses. The consultation request route common to all 4 activity record formats, age and sex of the individual requesting counseling, and diagnosis and consultation data were retrospectively studied. Results: Of the 143 subjects, 58 were male (40.6%) and 85 were female (59.4%), with a mean age of 54.2 years. Of 124 diagnoses, cancer was the most common (n = 66, 53.2%). With regard to patients’ psychiatric status, acceptance of the disease was the most common difficulty (n = 39, 27.3%), followed by adjustment disorder (n = 29, 20.3%) and mood disorder (n = 10, 7.0%). Psychiatric symptoms included anxiety (n = 75, 45.1%), depression (n = 38, 22.9%), and anger (n = 29, 17.4%). The consultation requests came most commonly from staff (n = 66, 46.2%), followed by attending physicians, psychiatrists, or the palliative care team (n = 26, 18.2%) and administrators (n = 26, 18.3%). Twenty-two (15.7%) requests were made directly by the patient or family member. MHCLNs collaborated with psychiatrists for 74 (51.7%) subjects, whereas they did not collaborate for 68 subjects (47.6%). Details of direct care included interviews using supportive psychotherapy (n = 92, 64.3%) combined with relaxation (n = 18, 12.5%) and an approach to partial recognition (n = 11, 7.7%). Nursing consultations totaled 127 (88.8%). Conclusions: Among the subjects consulted by an MHCLN, those that were counseled by a nurse alone (i.e., no liaison with the psychiatry department) often had difficulty in accepting the disease or were maladjusted with symptoms such as anxiety, depression, or anger. If these symptoms can be relieved during the early stages, medication may not be required and consultation or practice may prevent deterioration in the psychiatric condition and lead to an improvement in symptoms. In patients with somatic disorders requiring psychological care, nurses highly specialized in mental health care, such as MHCLNs, are required to serve as liaison personnel. This is especially required for patients with psychological problems caused by the stress of the disease and treatment, albeit within normal limits, or for patients in a condition requiring psychiatric treatment.
Dissonance Model Toolbox in Pure Data

This paper presents the development of a toolbox based on Dissonance Psychoacoustic Models departing from Terhardt’s theory, which includes Sharpness, Roughness, Tonalness, Root Relationship & Pitch Commonality. Dissonance perception studies are found under many approaches in psychology and musicology. There is no final word on how each parameter contributes to its perception of Dissonance. A review of the theories has been discussed by the author. Here, the theory is only briefly discussed, the implementation section carries a bit more information on each attribute before the patches and creative applications are presented.
High and Efficient Production of Nanomaterials by Microfluidic Reactor Approaches

This chapter overviews different approaches for the synthesis of nanostructured materi‐ als based on alternative methodologies to the most conventional and widespread colloi‐ dal wet chemical route and with a great potential applicability to large-scale and continuous production of nanomaterials. Their major outcomes, current progress in syn‐ thesis of micro and nanostructures by using microfluidics techniques and potential appli‐ cations for the next future are reviewed throughout three different sections. Emphasis is placed on nanomaterials production basics, nanomaterials production techniques and mi‐ crofluidic reactors (types, materials, designs). The integration of nanoparticle and micro‐ reactor technologies delivers enormous possibilities for the further development of novel materials and reactors. In this chapter, recent achievements in the synthesis of nanoparti‐ cles in microfluidic reactors are stated. A variety of strategies for synthesizing inorganic and polymeric nanoparticles are presented and compared, including continuous flow, gas–liquid segmented flow and droplet-based microreactors
On the Variability and Predictability of Eastern Pacific Tropical Cyclone Activity *

Variability in tropical cyclone activity in the eastern Pacific basin has been linked to a wide range of climate factors, yet the dominant factors driving this variability have yet to be identified. Using Poisson regressions and a track clustering method, the authors analyze and compare the climate influence on cyclone activity in this region. The authors show that local sea surface temperature and upper-ocean heat content as well as large-scale conditions in the northernAtlantic are the dominant influence inmodulating easternNorth Pacific tropical cyclone activity. The results also support previous findings suggesting that the influence of the Atlantic Ocean occurs through changes in dynamical conditions over the eastern Pacific. Using model selection algorithms, the authors then proceed to construct a statistical model of eastern Pacific tropical cyclone activity. The various model selection techniques used agree in selecting one predictor from the Atlantic (northern North Atlantic sea surface temperature) and one predictor from the Pacific (relative sea surface temperature) to represent the best possible model. Finally, we show that this simple model could have predicted the anomalously high level of activity observed in 2014.
Environmental Influences on the Spatio-Temporal Distribution of European Hake ( Merluccius merluccius ) in Izmir Bay, Aegean Sea

In Izmir Bay, Aegean Sea, the influence of abiotic environmental factors besides depth and fishing pressure on the spatio-temporal distribution of European hake, Merluccius merluccius L. 1758, abundance were analysed using a Generalized Additive Model (GAM), with the Catch Per Unit Effort (CPUE) as the response-dependent variable and a Geographic Information System (GIS) software-based approach to display relationships. Data were collected on a monthly basis from 2007-2009 using a conventional bottom trawl net in Izmir Bay. European hake is mostly abundant in Izmir Bay during summer and early autumn temporally (particularly during September) and spatially, in the region to the north of Uzunada Island and between the east coast of the island and the centre of the bay. GAM models also demonstrated that higher European hake abundances were located in waters of >50 m in depth with Sea Bottom Temperature (SBT) values ranging from 14.5-19 °C and Sea Bottom Salinity (SBS) values >38.55. In addition to this, the effects of fishing pressure were clearly evident throughout the area where bottom trawling is permitted. A better knowledge of the changes in spatio-temporal distribution of the species will allow the improved management of this important
Antioxidant Activity of the Natural Flavonoid 7-Hydroxy-5,6,4’-trimethoxyflavone Isolated from the Leaves of Lippia rugosa A. Chev

Phytochemical studies and antioxidant activities were carried out on n-hexane, ethyl acetate, ethanol and methanol extracts of the leaves of Lippia rugosa A. Chev (Verbenaceae), a medicinal plant used traditionally in the Cameroonian savannah’s region to protect foodstuffs and to cure degenerative diseases. Results indicated that theses extracts contain terpenoids, phenolic and flavonoid compounds. Except the n-hexane extract, all of the obtained extracts exhibit antioxidant activities with the ethanol extract being the most effective with an inhibition percentage of 85.668% ± 1.233% and an inhibition concentration (IC50) of 58 μg/ml (R2 = 0.987, P < 0.01) at a concentration of 100 mg/ml. Chromatographic separation on silica gel of the ethanol extract led to the isolation of a pure organic compound which was characterized as 7-hydroxy-5,6,4'-trimethox- yflavone by extensive 1D and 2D NMR spectroscopy, a flavonoid exhibiting antioxidative activity with an inhibitory percentage of 25.506% ± 0.205% and inhibition concentration (IC50) of 221 μg/ml (R2 = 0.966, P < 0.01). This is the first time that 7-hydroxy-5,6,4'-trimethoxyflavone is being isolated from L. rugosa and its antioxidant activity evaluated.