Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Modeling Technique for Operational Amplifier Using RBF - ELM

This paper formulates a new modeling technique for the analog circuits like OPAMP (Operational Amplifier). One of the fastest learning techniques, extreme learning machine along with best suitable kernel Radial Basis Function has been implemented for modeling. The simulated result shows that the training speed is very high and can handle a large set of data without compromising accuracy.
Color negatives at the demise of silver halides

We are experiencing a technological revolution in photography – digital photography. Comput-ers, electronic sensors and the Internet have al-most completely replaced the analogous chemi-cal photography based on silver gelatin. Today, all this material can be regarded as historical. It is an interesting fact to note, however, that we know relatively little about the photographic materials of the second half of the 20th century, i.e. the modern materials. This is especially true for color negatives. The goal of this work is to find information about the color negative process, to collect and characterize these materials, and to publish all data in a database.
Saraca indica L. leaves, Phytochemical, invitro Antioxidant and Cytotoxic Activities

Saraca indica L. (Saraca asoca) is reported for its important biological benefits in Indian folk medicine. The powdered leaves were extracted with 70% ethanol to obtain total ethanol extract(TEE) that was successively fractionated to get petroleum ether(pet. ether),chloroform(CHCl3), ethyl acetate (EtOAc) and methanol extracts.The antioxidant activityof TEE by three methods of assay, as well as,the antioxidant activity of TEE and successive extracts by DPPHmethod at two dose were done.Total phenolics and total flavonoids content of the plant were determined. The cytotoxic evaluation revealed that EtOAc extract exhibited activity against HCT-116 andMCF-7, Hela& HEPG-2 . GC/MS analysis of the unasponifiable(USF) and saponifiable (SF)fractions of the non-polar extractwas carried out. 34 Compounds with phytol, dodecane, BHT and α -amyrin as the major compoundsin the USFand 25 compounds with methyl palmitateM gallic acid, methylgallate, rutin, quercetin -3-O-rhamnoside, quercetin and kaempeferol
Advanced Ceramic Materials Sintered by Microwave Technology Advanced Ceramic Materials Sintered by Microwave Technology

Processing of ceramic materials has also a strong impact in the quality of the consolidated body, as it plays a key role in the resulting microstructure and, as a consequence, in its final properties. Advanced ceramic materials are commonly processed as powders and densified via a high-temperature process. Traditional processing techniques include hot isostatic pressing, mold casting, and sintering in conventional ovens. As ceramics require very high processing temperatures compared to metals and polymers, these processes tend to be very energy intensive and result in higher production costs to the manufactur- ers. Therefore, new technologies known as nonconventional sintering techniques, such as microwave technology, are being developed in order to reduce energy consumption, while maintaining or even improving the characteristics of the resulting ceramic material. This novel and innovative technology aims at helping industrial sectors lower their production costs and, at the same time, lessen their environmental impact. On the other hand, it is interesting and necessary to know and explore the basic principles of micro- waves to advance in the development of materials that demand, every day more, the different industrial sectors. This chapter presents the most recent advances of two materials with a great industrial future: zirconia and lithium aluminosilicate.
The Influence of Parental Expectations on the Self-efficacy and Academic Possible Selves of Adolescents from Economically Disadvantaged Families in China

Previous studies have found that families’ socioeconomic status has significant impact on parents’ academic expectations towards their children, and students’ in low-SES families tend to have lower self-efficacy and less positive possible selves. The current study examining the effect of parental expectations on students’ self-efficacy and their academic possible selves, as well as testing the possible mediating effect of self-efficacy in the relationship between parental expectations and possible selves, especially in economically disadvantaged families in China.
PSYCHOLOGICAL ABUSE AND LEARNED HELPLESSNESS: A SYSTEMATIC LITERATURE REVIEW

The aim of this work was to review the existing research on the relation between psychological abuse and learned helplessness. A total of 9 articles met the search criteria. Results revealed themes regarding the prevalence and consequences of psychological abuse and learned helplessness. Findings suggested that psychological abuse and learned helplessness are frequently reported among racial/ethnic minorities, survivors of intimate partner violence, victims of childhood neglect, and victims of workplace abuse. Within each of the major themes, instances of prolonged psychological abuse were examined. Further research is needed to determine what methods of treatment, interventions, and services would best alleviate the experience of learned helplessness after prolonged psychological abuse. Further research would also need to indicate the appropriate education for clinicians and professionals seeking to work with such populations. Implications for future research are discussed.
The Bordetella Adenylate Cyclase Toxin RTX Domain is Immunodominant and Elicits Neutralizing Antibodies

Capsule Background: The protective antigen adenylate cyclase toxin (ACT) has not been included in current pertussis vaccines partly due to incomplete understanding of its protective epitopes. Results: The repeat-in-toxin (RTX) domain is immunodominant in mice and contains neutralizing epitopes. Conclusion: The RTX domain induces similar neutralizing antibody responses as ACT. Significance: The RTX domain may be an alternative to ACT for inclusion in future vaccines. ABSTRACT The adenylate cyclase toxin (ACT) is a multifunctional virulence factor secreted by Bordetella species. Upon interaction of its C terminal hemolysin moiety with the cell surface receptor α M β 2 integrin, the N -terminal cyclase domain translocates into the host cell cytosol
Semantic Segmentation of Cardiac MR Images using Convolutional Neural Network

– In this paper, a deep learning approach using Fully Convolutional Network(FCN) for semantic segmentation of cardiac MR image is proposed. Pre-trained neural network within the Matlab Neural Network toolbox, VGG-16 was used to train the FCN. The approach is comparable to state of the art techniques.
Eclogites and related high-pressure rocks from North-East Greenland

Eclogite, gamet c1inopyroxenite, gamet websterite and websterite bodies were dis covered within the Skært]orden gneiss complex during recent mapping in North-East Greenland. These eclogitic pods extend from Danmarkshavn (c. 76° 40'N) to the nortbern limit of the area mapped (78°N), and attest to widespread high-pressure metamorphism. Eclogites with the assemblage omphacite + garnet ± quartz ± futile are common. The protoliths of some of the eclogites were xenoliths within the precursor batholiths to the gneisses. Field relations, regional correlations and preliminary geo chronology indicate that the eclogite facies metamorphism is CaJedonian. The eclogites forrned at minimum pressures between 10-15 kilobars and temperatures between 600-900°C, and hence are the medium-temperature type typically formed in over thickened crust during continent collision.
Displaced Event Classiﬁcation Using Graph Networks

Long-lived massive particles, predicted in numerous Standard Model extensions, are a particularly diﬃcult target for online event reconstruction. This work presents a study of detecting the presence of displaced vertices in a collider experiment in several environmental conditions. In particular Graph Neural Networks performing classiﬁcation on input hit-level data are shown to perform well in the task of separating prompt against displaced events with results translating, with some degradation, into more busy environments. Furthermore, promising results are shown for identifying events from a benchmark supersymmetric process with future work investigating higher pileup environments. network architecture consists of four dense networks. The input network transforms the initial input hits, labelled X, to a hidden representation, labelled P. A separate graph construction step yields candidate segments for the input hits. The collection of segments is labelled G. The edge network outputs classiﬁcation predictions for each segment, labelled E, while the node network reﬁnes the hidden representation for each hit. The application of the edge and node networks are repeated for a set number of times. Finally the hidden representation is passed to an aggregation network producing an event wide prediction, labelled A. The ﬁnal output comprises the edge predictions and the event prediction during training during training while during evaluation the output consists solely of the aggregation network output.
Performance Enhancement of Wireless Networks Using Cooperative Diversity Techniques

Channel weakening is one among the significant issues in wireless communication which can be overcome by the exploiting diversity gain, achieved via cooperation between nodes and relays. In order to improve the gain, generally, we require more than one transmitting antenna in a node, which is not too common due to the limits in size and complexity of wireless mobile devices. Anyway by offering reception apparatuses to other single-receiving wire hubs in a multi-client condition i.e., agreeable decent variety, a virtual multi-radio wire cluster is framed and transmit-assorted variety is cultivated. In our proposed work, a network containing a sender, a destination and a fixed relay, is analyzed with modified cooperative diversity scheme such as Amplify-Quantize and Forward (AFQ) and compared with existing cooperative communication protocol i.e., Amplify and forward (AF). Moreover the performance of the proposed work is evaluated in terms of Bit-Error Rate, SNR and Outage Probability.
Phylogenetic relationships and genetic diversity of the USDA Phylogenetic relationships and genetic diversity of the USDA VignaVigna germplasm collection revealed by gene-derived markers germplasm collection revealed by gene-derived markers and sequencing and sequencing

and gene-derived from legumes were employed. Some high-quality amplicons were sequenced. Indels (insertion/deletions) were discovered from the sequence alignments that were specific identifiers for some Vigna species. With regard to revealing polymorphisms, intron-spanning markers were more effective than exon-derived markers. These gene-derived markers were more successful in revealing interspecific polymorphisms than intraspecific polymorphisms at both the DNA fragment and sequence levels. Two different dendrograms were generated from fragment data and sequence data, respectively. The results from these two dendrograms supported each other and showed similar phylogenetic relationships among the Vigna species investigated. The accessions clustered into four main groups and 13 subgroups. Each subgroup represents a subgenus or a species. Phylogenetic analysis revealed that an accession might be misclassified in our collection. putative Limited intraspecific genetic
DDDT_A_253293 3951..3963

Department of Orthopedics, China-Japan Union Hospital, Changchun, Jilin 130031, People’s Republic of China Background: Circular RNAs (circRNAs) play an important role in the progression of intervertebral disc (IVD) degeneration (IVDD). Using bioinformatics analysis, we have found that the expression of circRNA hsa_circ_0059955 was significantly downregulated in IVDD tissues. However, the relevant mechanism of hsa_circ_0059955 in the progression of IVDD remains unclear. Methods: CCK-8 and flow cytometry assays were used to evaluate cell proliferation and apoptosis. In addition, Western blot assay was used to detect the expressions of ITCH, p73, CDK2 in nucleus pulposus (NP) cells. Moreover, a puncture-induced IVDD rat model was established to explore the role of hsa_circ_0059955 in IVDD. Results: The level of hsa_circ_0059955 was significantly decreased in IVDD tissues from IVDD patients. Itchy E3 ubiquitin protein ligase (ITCH) is the host gene of hsa_circ_0059955, and downregulation of hsa_circ_0059955 significantly decreased the expression of ITCH in NP cells. In addition, downregulation of hsa_circ_0059955 markedly inhibited proliferation and induced apoptosis and cell cycle arrest in NP cells. Moreover, in vivo study illustrated that overexpression of hsa_circ_0059955 ameliorated IVDD in rats. Conclusion: Downregulation of hsa_circ_0059955 could induce apoptosis and cell cycle arrest in NP cells in vitro, while overexpression of hsa_circ_0059955 attenuated the IVDD in a puncture-induced rat model in vivo. Therefore, hsa_circ_0059955 might serve as a therapeutic target for the treatment of IVDD.
Identiﬁcation of a Central DNA Flap in Feline Immunodeﬁciency Virus

A duplication of the polypurine tract (PPT) at the center of the human immunodeﬁciency virus type 1 (HIV-1) genome (the cPPT) has been shown to prime a separate plus-strand initiation and to result in a plus-strand displacement (DNA ﬂap) that plays a role in nuclear import of the viral preintegration complex. Feline immunodeﬁciency virus (FIV) is a lentivirus that infects nondividing cells, causes progressive CD4 (cid:1) T-cell depletion, and has been used as a substrate for lentiviral vectors. However, the PPT sequence is not duplicated elsewhere in the FIV genome and a central plus-strand initiation or strand displacement has not been identiﬁed. Using Southern blotting of S1 nuclease-digested FIV preintegration complexes isolated from infected cells, we detected a single-strand discontinuity at the approximate center of the reverse-transcribed genome. Primer extension analyses assigned the gap to the plus strand, and mapped the 5 (cid:1) terminus of the downstream (D (cid:1) ) segment to a guanine residue in a purine-rich tract in pol (AAAAGAAGAGGTA G GA). RACE experiments then mapped the 3 (cid:1) terminus of the upstream plus (U (cid:1) )-strand segment to a T nucleotide located 88 nucleotides downstream of the D (cid:1) strand 5 (cid:1) terminus, thereby identifying the extent of D (cid:1) strand displacement and the central
Development of Triangular Microstrip Antenna for Sensor Application Using Circularly Polarized-Synthetic Aperture Radar

Recently, many missions of Synthetic Aperture Radar (SAR) sensors are operated in linear polarization (HH, VV, and its combination) with high power, sensitive to Faraday rotation effect, etc. Newly, the development of radar technology, SAR and Unmanned Aerial Vehicle (UAV) are relatively fast which can generate data processed with high resolution and a better image for all types of terrain explored. The interest in the SAR system is expected to increase the research about the antenna which can be applied for developing SAR system. Circularly Polarized-Synthetic Aperture Radar (CP-SAR) is as active sensor that could transmit and receive the C , S , and L -band chirp pulses for remote sensing application. The sensor is designed as a low cost, light, low power, low profile configuration to transmit and receive Left-Handed Circular Polarization (LHCP) and Right-Handed Circular Polarization (RHCP). Then, these circularly polarized waves are employed to generate the Axial Ratio Image (ARI), ellipticity and tilted angle images, etc. Hence, many information can be obtained from the earth and be able to overcome some limitations of the SAR sensor, such as high power, sensitive to Faraday rotation effect, the unwanted backscatter modulation signal and redistribution random back signal-energy, blurring and defocusing spatial variants, ambiguous identification, and low different features of backscatter. In this research, we design triangular microstrip antennas both as basic construction and configuration of CP-SAR operated and embedded at the S -band and L -band on Low Earth Orbit (LEO) microsatellite and UAV having additional advantages such as a compact size, lightweight, conformability of the substrate surface, low cost, easier to integrate with other circuits, flexible, and well established. The investigation triangular microstrip antennas and its radiation characteristics are performed by numerical simulations and partly experiments aimed at CP-SAR sensor application. The values of gain, axial ratio ( Ar ) and its bandwidth, azimuth and elevation beamwidth of gain and Ar , and antenna efficiency of triangular microstrip antennas are sufficient performances to meet the requirement of the specification of CP-SAR system using LEO microsatellite and UAV.
al-time tors F

Military training utilizing serious games or virtual worlds potentially generate data that can be mined to better understand how trainees’ learn in experiential exercises. Few data mining approaches for deployed military training games exist. Opportunities exist to collect and analyze these data, as well as to construct a full-history learner model. Outcomes discussed in the present document include results from a quasi-experimental research study on military game-based experiential learning, the deployment of an online game for training evidence collection, and results from a proof-of-concept pilot study on the development of individualized training vectors. This Lab Directed Research & Development (LDRD) project leveraged products within projects, such as Titan (Network Grand Challenge), Real-Time Feedback and Evaluation System, (America’s Army Adaptive Thinking & Leadership, DARWARS Ambush! NK), and Dynamic Bayesian Networks to investigate whether machine learning capabilities could perform real-time, in-game similarity vectors of learner performance, toward adaptation of content delivery, and quantitative measurement of experiential learning.
Parameter estimation from multinomial trees to jump diffusions with k means clustering

Ever since the pioneering work of Cox, Ross and Rubinstein, tree models have been popular among asset pricing methods. On the other hand, statistical estimation of parameters of tree models has not been studied as much. In this paper, we use K Means Clustering method to estimate the parameters of multinomial trees. By the weak convergence property of multinomial trees to continuous-time models, we show that this method can be in turn used to estimate parameters in continuous time models, illustrated by an example of jump-diffusion model.
University of Birmingham The Relation between Luminous AGNs and Star Formation in Their Host Galaxies

We study the relation of active galactic nuclei (AGNs) to star formation in their host galaxies. Our sample includes 205 Type-1 and 85 Type-2 AGNs, 162 detected with Herschel , from ﬁelds surrounding 30 galaxy clusters in the Lo cal C l u ster S ubstructure S urvey (LoCuSS). The sample is identiﬁed by optical line widths and ratios after selection to be brighter than 1 mJy at 24 µ m. We show that Type-2 AGN [OIII] λ 5007 line ﬂuxes at high z can be contaminated by their host galaxies with typical spectrograph entrance apertures (but our sample is not compromised in this way). We use spectral energy distribution (SED) templates to decompose the galaxy SEDs and estimate star formation rates, AGN luminosities, and host galaxy stellar masses (described in an accompanying paper). The AGNs arise from massive black holes ( ∼ 3 × 10 8 M (cid:12) ) accreting at ∼ 10% of the Eddington rate and residing in galaxies with stellar mass > 3 × 10 10 M (cid:12) ; those detected with Herschel have IR luminosity from star formation in the range of L SF , IR ∼ 10 10 − 10 12 L (cid:12) . We ﬁnd that: 1. ) the speciﬁc star formation rates in the host galaxies are generally consistent with those of normal star-forming (main sequence) galaxies; 2. ) there is a strong correlation between the luminosities from star formation and the AGN; and 3. ) however, the correlation may not result from a causal connection, but could arise because the black hole mass (and hence AGN Eddington luminosity) and star formation are both correlated with the galaxy mass.
ISHMT USA 015 OPTIMIZATION OF MULTI-PRESSURE HUMIDIFICATION-DEHUMIDIFICATION DESALINATION USING THERMAL VAPOR COMPRESSION AND HYBRIDIZATION

Humidiﬁcation-dehumidiﬁcation (HD or HDH) desalination, and speciﬁcally HD driven by a thermal vapor compressor (TVC), is a thermal desalination method that has the potential to produce potable water efﬁciently in order to address the growing demand for water. This article presents a numerical study and optimization of two HD-TVC cycle conﬁgurations in order to determine the best achievable thermal performance. Through the use of nonlinear programming, it is found that the simplest conﬁguration of HD-TVC has performance comparable to a traditional single-stage, single-pressure HD cycle (GOR ≈ 0.8–2.0), while the hybridized HD-TVC cycle with reverse osmosis (RO) has thermal performance that is competitive with existing large scale desalination systems (GOR ≈ 11.8– 28.3).
BIOINFORMATICS Optimal algorithms for haplotype assembly from whole-genome sequence data

Motivation: Haplotype inference is an important step for many types of analyses of genetic variation in the human genome. Traditional approaches for obtaining haplotypes involve collecting genotype information from a population of individuals and then applying a haplotype inference algorithm. The development of high-throughput sequencing technologies allows for an alternative strategy to obtain haplotypes by combining sequence fragments. The problem of ‘haplotype assembly’ is the problem of assembling the two haplotypes for a chromosome given the collection of such fragments, or reads, and their locations in the haplotypes, which are pre-determined by mapping the reads to a reference genome. Errors in reads signiﬁcantly increase the difﬁculty of the problem and it has been shown that the problem is NP-hard even for reads of length 2. Existing greedy and stochastic algorithms are not guaranteed to ﬁnd the optimal solutions for the haplotype assembly problem. Results: In this article, we proposed a dynamic programming algorithm that is able to assemble the haplotypes optimally with time complexity O ( m × 2 k × n ) , where m is the number of reads, k is the length of the longest read and n is the total number of SNPs in the haplotypes. We also reduce the haplotype assembly problem into the maximum satisﬁability problem that can often be solved optimally even when k is large. Taking advantage of the efﬁciency of our algorithm, we perform simulation experiments demonstrating that the assembly of haplotypes using reads of length typical of the current sequencing technologies is not practical. However, we demonstrate that the combination of this approach and the traditional haplotype phasing approaches allow us to practically construct haplotypes containing both common and rare variants.