Miracle-dz/UniFAR-FTUs huggingface dataset:
Post‐release survival of shortfin mako (
 
 Isurus oxyrinchus
 
 ) and silky (
 
 Carcharhinus falciformis
 
 ) sharks released from pelagic tuna longlines in the Pacific Ocean

1. Substantial global population declines in pelagic sharks have led to the introduction of management and conservation measures, including gear restrictions and no-retention policies, to curb declines and encourage stock recovery. As the rate of discarding sharks increases, there is a growing need to understand prognostic factors that influence their post-release survival (PRS) outcomes. 2. PRS was measured with survival pop-up satellite archival tags attached to shortfin mako ( Isurus oxyrinchus ) and silky sharks ( Carcharhinus falciformis ) released or discarded from pelagic tuna longline fishing vessels operating in the Western and Central Pacific Fisheries Commission Convention Area. In total, 117 tags were deployed on 60 mako and 57 silky sharks captured as bycatch during commercial pelagic longline fishing trips in New Zealand ( n = 35), Fiji ( n = 58), New Caledonia ( n = 10) and the Republic of the
A Meta-Learning Based Framework for Cell-Level Mobile Network Traffic Prediction

In this paper, we propose a meta-learning based cell-level network traffic prediction framework (ML-TP), which can provide the proper initial weight vector for the learning model of a new prediction task based on the prediction task’s meta-features. In the ML-TP, each prediction task forms a base-task, and a multi-layer long short-term memory (LSTM) network is constructed as its base-learner. Through fast Fourier transform (FFT) analyses of real-world network traffic data, we find that the five most dominating frequency components can capture the cell-level traffic variations, and hence can be used as a base-task’s meta-features. We prove that the well-trained weight vector of a previous base-task’s base-learner is likely to be a proper initial weight vector of a new base-task’s base-learner if the meta-features of the two base-tasks are close to each other in the Euclidean space. Accordingly, we propose a K-nearest neighbours (KNN) algorithm based meta-learner to deal with the meta-task in the ML-TP. Numerical tests show that the ML-TP can significantly increase the base-learners’ after-training prediction accuracy and learning efficiency in terms of the number of base-samples and the number of epochs needed in each base-learner’s fine-tuning progress.
The Millimeter-Wave and Submillimeter-Wave Spectrum of Propylene (CH3CHCH2)

$^{1}$E. Hirota, {J. Chem. Phys}. 45, 1984-1990 (1957). $^{2}$ D.R. Lide, JR. and D. E. Mann, {J. Chem. Phys}. 27, 868-873 (1957).
Examination of ICD-11 PTSD and CPTSD using the International Trauma Questionnaire – Child and Adolescent version (ITQ-CA) in a sample of Danish children and adolescents exposed to abuse

ABSTRACT Background: International research has established that children and adolescents are at risk for posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) as defined by the WHO ICD-11. There is a need for a Danish language version of the International Trauma Questionnaire – Child and Adolescent (ITQ-CA) to assess symptoms of PTSD and CPTSD. Objective: To test the ICD-11 formulations of PTSD and DSO (Disturbances of Self-Organization) using the ITQ-CA version in a sample of children exposed to abuse. Additionally, to study the distribution of symptoms and probable prevalence of ICD-11 PTSD and CPTSD among the population of children exposed to violence or sexual abuse. Method: Confirmatory factor analysis of competing models of the dimensionality of the ITQ-CA was tested among a sample of 119 children and adolescents that were referred to the Danish Children Centres on suspicion of physical or sexual abuse or both. Latent class analysis (LCA) was used to study the distribution of symptoms and consequences of different operationalisations of functional impairment were explored. Results: Findings supported a two-factor second-order model corresponding to the operationalisation of CPTSD in ICD-11 as the best representation of the data. Findings from the LCA suggested that symptoms were distributed in a pattern consistent with the ICD-11 proposal for CPTSD. CPTSD was more prevalent than PTSD regardless of the operationalisation of functional impairment. Conclusion: ITQ-CA is a valid tool for identifying symptoms of ICD-11 PTSD and CPTSD among Danish children exposed to physical or sexual abuse. Further research is needed to study the relationship between ICD-11 C/PTSD symptomatology and anxiety and depression in this population. HIGHLIGHTS The International Trauma Questionnaire – Child and Adolescent version (ITQ-CA) is a valid measure of symptoms of ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD among Danish children exposed to physical or sexual violence. The structure of the ITQ-CA in the Danish sample reflects the ICD-11 diagnostic algorithm. CPTSD is a more prevalent disorder among children recently exposed to violence than PTSD.
Longitudinal Analysis of the Intestinal Microbiota among a Cohort of Children in Rural and Urban Areas of Pakistan

The profile of the intestinal microbiota is known to be altered in malnourished young children in low- and middle-income countries. However, there are limited studies longitudinally evaluating the intestinal microbiota in malnourished young children in resource-limited settings over the first two years of life. In this longitudinal pilot study, we determined the effect of age, residential location, and intervention on the composition, relative abundance, and diversity of the intestinal microbiota in a representative sample of children under 24 months of age with no diarrhea in the preceding 72 h in the urban and rural areas of Sindh, Pakistan nested within a cluster-randomized trial evaluating the effect of zinc and micronutrients on growth and morbidity (ClinicalTrials.gov Identifier: NCT00705445). The major findings were age-related with significant changes in alpha and beta diversity with increasing age. There was a significant increase in the relative abundance of the Firmicutes and Bacteroidetes phyla and a significant decrease in that of the Actinobacteria and Proteobacteria phyla (p < 0.0001). There were significant increases in the relative abundances of the major genera Bifidobacterium, Escherichia/Shigella and Streptococcus (p < 0.0001), and no significant change in the relative abundance of Lactobacillus. Using the LEfSE algorithm, differentially abundant taxa were identified between children in the first and second years of age, between those residing in rural and urban areas, and those who received different interventions at different ages from 3 to 24 months. The numbers of malnourished (underweight, wasted, stunted) or well-nourished children at each age, in each intervention arm, and at urban or rural sites were too small to determine if there were significant differences in alpha or beta diversity or differentially abundant taxa among them. Further longitudinal studies with larger numbers of well-nourished and malnourished children are required to fully characterize the intestinal microbiota of children in this region.
Evaluation of Power Transformer Thermal Performance and Optical Sensor Positioning Using CFD Simulations and Temperature Rise Test

The internal temperatures and the ability to dissipate the heat from active part influence the windings’ insulation deterioration and determine how long power transformers are able to remain in operation. Due to the great importance of this equipment for the electrical system, studies to avoid failures and early aging are needed. This article presents an evaluation of thermal performance of power transformers and the optical fiber sensor positioning to temperature monitoring. For this, an experimental and numerical methodology is performed, comparing the measurements during the temperature rise test of single-phase prototype power transformer, under oil directed and air natural (ODAN) cooling system conditions equipped with 20 optical fiber sensors along its windings, to the obtained results of computational fluid dynamics (CFD) simulations performed in ANSYS Fluent software. It was verified that the punctual temperature measured by optical sensors may not accurately represent the critical temperatures along transformers’ windings, and the windings’ arrangements impact on oil flow and temperature distribution, as the number and positioning of block washers being necessary to be considered in previous studies for a better positioning of the sensors and temperature monitoring.
Ensemble Deep Learning Network Model for Dropout Prediction in MOOCs

In the online education field, Massive open online courses (MOOCs) have become popular in recent years. Educational institutions and Universities provide a variety of specialized online courses that helps the students to adapt with various needs and learning preferences. Because of this, institutional repositories creates and preserve a lot of data about students' demographics, behavioral trends, and academic achievement every day. Moreover, a significant problem impeding their future advancement is the high dropout rate. For solving this problem, the dropout rate is predicted by proposing an Ensemble Deep Learning Network (EDLN) model depending on the behavior data characteristics of learners. The local features are extracted by using ResNet-50 and then a kernel strategy is used for building feature relations. After feature extraction, the high-dimensional vector features are sent to a Faster RCNN for obtaining the vector representation that incorporates time series data. Then an attention weight is obtained for each dimension by applying a static attention mechanism to the vector. Extensive experiments on a public data set have shown that the proposed model can achieve comparable results with other dropout prediction methods in terms of precision, recall, F1 score, and accuracy.
Biofunctionalization and Applications of Polymeric Nanofibers in Tissue Engineering and Regenerative Medicine

The limited ability of most human tissues to regenerate has necessitated the interventions namely autograft and allograft, both of which carry the limitations of its own. An alternative to such interventions could be the capability to regenerate the tissue in vivo.Regeneration of tissue using the innate capacity of the cells to regenerate is studied under the discipline of tissue engineering and regenerative medicine (TERM). Besides the cells and growth-controlling bioactives, scaffolds play the central role in TERM which is analogous to the role performed by extracellular matrix (ECM) in the vivo. Mimicking the structure of ECM at the nanoscale is one of the critical attributes demonstrated by nanofibers. This unique feature and its customizable structure to befit different types of tissues make nanofibers a competent candidate for tissue engineering. This review discusses broad range of natural and synthetic biodegradable polymers employed to construct nanofibers as well as biofunctionalization of polymers to improve cellular interaction and tissue integration. Amongst the diverse ways to fabricate nanofibers, electrospinning has been discussed in detail along with advances in this technique. Review also presents a discourse on application of nanofibers for a range of tissues, namely neural, vascular, cartilage, bone, dermal and cardiac.
Processes of (n-n')-mixing in collisions of Rydberg H*(n) atoms with H(1s) in the solar atmosphere

The significance of (n − n � )-mixing processes in H ∗ (n) + H(1s) collisions, for the principal quantum number n ≥ 4, in the Solar photosphere and lower chromosphere has been investigated. These processes have been treated by the mechanism of resonant energy exchange within the electron component of the considered collision system. These processes must have sig- nificant influence in comparison with corresponding electron-atom collision processes on the populations of hydrogen Rydberg atoms in weakly ionized layers of the Solar atmosphere (ionization degree of the order of 10 −4 ). From the results obtained it follows that the examined (n − n � )-mixing processes have to be included in any modelling and investigation of Solar plasma, especially in the region of the temperature minimum in the Solar photosphere.
Electric polarizability of a relativistic particle

A simple potential model is used to study the contribution of negative energy states to the static electric polarizability of a relativistic particle which is bound by a one-dimensional delta potential. The potential includes both Lorentz scalar and vector components. Contrary to the result based on nonrelativistic physics, we find it possible that the electric polarizability can have a negative sign.
Size dependence of the dielectric function of silicon-supported plasmonic gold nanoparticles

Gold nanoparticles (NPs) are directly deposited on a Si(111) substrate by Ar sputtering to provide a semiconductor-based plasmonic platform. The Au NPs are characterized by interband transitions at energies above 2.5 eV, whose tails extend into the surface-plasmon resonance (SPR) region, hence affecting the SPR energy, amplitude, and broadening. Herein, we report the experimental evidence of the size dependence of the interband transitions for Au NPs supported on silicon and sapphire substrates by exploiting plasmonic ellipsometry. Providing the size dependence of the dielectric function of Au NPs in the extended spectral range of 190-1700 nm, and discussing the interconnection between the SPR and the interband transitions, this study as a whole represents a step ahead in the perspective of a better understanding of nanosize effect on optical properties and standardization of nanoparticles dielectric functions to rely on more accurate modeling of NPs behavior.
Preparation of Papers in Two-Column Format

Agriculture is India's lifeblood. In our country, irrigated cropland covers approximately 215.6 million acres. Pest detection in paddy fields is a significant challenge in agriculture, so effective measures to combat the infestation while minimising pesticide use should be developed. Image analysis techniques are widely used in agricultural science, providing maximum crop protection and ultimately leading to better crop management and production. Pest infestations are currently monitored by hand, but automated monitoring is being developed to reduce human effort and errors. It is possible to accomplish this by using a camera to capture input images and then analyzing them with machine learning. A motor driver is used to build an agricultural robot, and a Raspberry Pi3 is used as the processor or embedded system. For machine learning, we use Python code to train the robot with predefined images. Pest infestations are currently monitored by hand, but automated monitoring is being developed to reduce human effort and errors. It is possible to accomplish this by using a camera to capture input images and then analyzing them with machine learning. A motor driver is used to build an agricultural robot, and a Raspberry Pi3 is used as the processor or embedded system. For machine learning, we use Python code to train the robot with predefined images. Farmers can control it without having to work in the fields or be exposed to pesticides, which is a benefit. His health does
Polar cap potential saturation: An energy conservation perspective

[1] In the long run, energy entering the magnetosphere from the solar wind must be balanced by energy dissipation in or escape from the system. It then follows that the Joule heating rate in the ionosphere statistically should be bounded from the upside by the solar wind energy input function (e.g., the Perrault-Akasofu parameter). We show that this energy constraint, coupled with some observationally motivated assumptions about the behavior of the auroral oval under escalating solar wind conditions, leads to the prediction of polar cap potential saturation.
Bound state solutions of the Klein - Gordon equation for deformed Hulthen potential with position dependent mass

We solve approximately the bound state solutions of the Klein - Gordon equation for deformed Hulthen potential with unequal scalar and vector potential for arbitrary l -state. We obtain explicitly the energy eigenvalues and the corresponding wave function expressed in terms of the Jacobi polynomials. We also discuss the energy eigenvalues of our result for three cases with equal and unequal scalar and vector potentials. Keywords: Klein-Gordon equation; Hulthen potential; bound state DOI: http://dx.doi. org/10.4038/sljp.v13i1. 3780 Sri Lankan Journal of Physics, Vol. 13(1) (2012) 27-40
Distributional differential algebraic equations

Trenn, Stephan:Distributional differential algebraic equations(Zusammenfassung, Diss., Technische Universitat Ilmenau, 2009) Lineare implizite Differentialgleichungen der Form Ex'=Ax+f werden untersucht. Da die Matrix E nicht als invertierbar angenommen wird, enthalt das Gleichungssystem neben den Differentialgleichungen auch algebraische Gleichungen. Deshalb werden diese Gleichungen differential-algebraische Gleichungen (differential algebraic equations, DAEs) genannt. Ein wesentliches Ziel der Dissertation ist es, Distributionen (oder verallgemeinerte Funktionen) als Losungen zuzulassen und gleichzeitig soll es moglich sein, zeitvariante DAEs zu untersuchen, deren Koeffizientenmatrizen Sprunge haben konnen. Dazu wird zunachst ein geeigneter Losungsraum hergeleitet. Insbesondere ist es mit diesem Losungsraum moglich, die wichtige Klasse der geschalteten DAEs (switched DAEs) zu untersuchen. Als Losungsraum wird der Raum der stuckweise glatten Distributionen (piecewise-smooth distributions) eingefuhrt. Fur diesen Raum ist es moglich, eine Multiplikation zu definieren, so dass auch DAEs betrachtet werden konnen, deren Koeffizienten ebenfalls distributionelle Eintrage haben. Eine distributionelle DAE ist eine Gleichung der Form Ex'=Ax+f, bei der die Matrizen E und A stuckweise glatte Distributionen als Eintrage enthalten und die Losungen x sowie die Inhomogenitaten f ebenfalls stuckweise glatte Distributionen sind. Fur distributionelle DAEs wird die Existenz und Eindeutigkeit von Losungen untersucht, dazu wird das Konzept der Regularitat fur distributionelle DAEs eingefuhrt. Es werden notwendige und hinreichende Bedingungen fur die Existenz und Eindeutigkeit von Losungen hergeleitet. Als Spezialfalle werden die beiden Gleichungen x'=Ax+f (so genannte distributionelle ODEs) und Nx'=x+f (so genannte reine distributionelle DAEs) untersucht, fur die explizite Losungsformeln angegeben werden konnen. Geschaltete DAEs sind distributionelle DAEs mit stuckweise konstanten Koeffizientenmatrizen. Es werden hinreichende Bedingung hergeleitet, die sicherstellen, dass die Losungen von geschalteten DAEs keine Impulse enthalten. Weiterhin wird untersucht, unter welchen Bedingungen das beliebige Schalten zwischen stabilen Teilsystemen zu einem stabilen Gesamtsystem fuhrt. Schlieslich werden Steuerbarkeit und Beobachtbarkeit fur distributionelle DAEs untersucht. Hierbei wird berucksichtigt, dass das Eingangssignal Impulse enthalten kann und damit theoretisch eine "instantane" Steuerung moglich ist. Fur eine DAE der Form N'=x+bu, y=cx, mit konstanten, nilpotenten N sowie konstanten Vektoren b und c wird eine Normalform angegeben, die eine einfache Charakterisierung der Steuerbarkeit und Beobachtbarkeit ermoglicht.
The Scattering of X-Rays by Interstellar Dust on the Microarcsecond Scale

We have calculated on a small angular scale the distribution of X-rays (e.g., as originating from a point source) scattered by interstellar dust. In addition to the well-known, large-diameter (i.e., hundreds of arcseconds) X-ray halo due to dust distributed along the line of sight to the source, we show that material clumped very close to the source gives rise to a bright, small-diameter (subarcsecond) X-ray halo. The diameter of this inner "microhalo" decreases, and the relative surface brightness increases, as the relative concentration of dust very near the source increases. For example, we expect that the 1 keV X-ray microhalo surrounding a point source in M87 would have a diameter of order 1 microarcsecond (μas) and a surface brightness relative to the point source flux of order 10-29 μas-2 cm2 (H atom)-1, while the large-diameter halo due to scattering from dust within our own Galaxy would have a diameter of order 100'' and a relative surface brightness more than 12 orders of magnitude lower than the microhalo surface brightness. We discuss the consequences of our results with regard to future high-resolution X-ray imaging observations, and also with regard to the possibility of using detailed measurements of the X-ray halo profile to determine the spatial distribution of dust along the line of sight and close to the source.
Relativistic models of anisotropic superdense star in the regime of Karmarkar’s condition

We obtained a new class of solutions for a relativistic anisotropic compact star by utilizing the Karmarkar embedding condition. To obtain the closed-form solution a suitable form of one of the gravitational potentials has been chosen to determine the other by analyzing the Karmarkar condition. The resulting solutions are found to be well-behaved and regular and could describe a compact stellar object. Considering the current estimated values of the mass and radius of the pulsar 4U1820 − 30 as input parameters, all the physically relevant parameters are shown to be well-behaved to a very good degree of accuracy.
On Defect Grading for the Relay Protection Devices Based on TF-IDF Assignment and Simple Classifiers

Accurate grading of relay protection device (RPD) defects can improve the maintenance and reliability of RPD to ensure the safety of power grid. Based on the text record of defects of RPDs in a regional power grid and the defect text dictionary, this paper analyses the defect grading method with Term Frequency-Inverse Document Frequency (TF-IDF) assignment method and simple classifiers. The details are as follows: firstly, the construction of relay protection devices defect dictionary is introduced. Secondly, the vectorization text of relay protection devices defect is formed; combined with TF-IDF assignment method, and then, the relay protection devices defect grading models based on five simple classifiers are constructed respectively. Finally, the performance of the above defect grading methods is compared and analysed based on the k-fold crossover method. The grading models constructed in the paper can provide an auxiliary to relay protection device operation.