Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Region-Extreme Convolutional Neural Network for Melanoma Malignancy Recognition

Melanoma malignancy recognition is a challenging task due to the existence of intraclass similarity, natural or clinical artefacts, skin contrast variation, and higher visual similarity among the normal or melanoma-affected skin. To overcome these problems, we propose a novel solution by leveraging “region-extreme convolutional neural network” for melanoma malignancy recognition as malignant or benign. Recent works on melanoma malignancy recognition employed the traditional machine learning techniques based on various handcrafted features or the recently introduced CNN network. However, the efficient training of these models is possible, if they localize the melanoma affected region and learn high-level feature representation from melanoma lesion to predict melanoma malignancy. In this paper, we incorporate this observation and propose a novel “region-extreme convolutional neural network” for melanoma malignancy recognition. Our proposed region-extreme convolutional neural network refines dermoscopy images to eliminate natural or clinical artefacts, localizes melanoma affected region, and defines precise boundary around the melanoma lesion. The defined melanoma lesion is used to generate deep feature maps for model learning using the extreme learning machine (ELM) classifier. The proposed model is evaluated on two challenge datasets (ISIC-2016 and ISIC-2017) and performs better than ISIC challenge winners. Our region-extreme convolutional neural network recognizes the melanoma malignancy 85% on ISIC-2016 and 93% on ISIC-2017 datasets. Our region-extreme convolutional neural network precisely segments the melanoma lesion with an average Jaccard index of 0.93 and Dice score of 0.94. The region-extreme convolutional neural network has several advantages: it eliminates the clinical and natural artefacts from dermoscopic images, precisely localizes and segments the melanoma lesion, and improves the melanoma malignancy recognition through feedforward model learning. The region-extreme convolutional neural network achieves significant performance improvement over existing methods that makes it adaptable for solving complex medical image analysis problems.
A Collaborative AI-Enabled Pretrained Language Model for AIoT Domain Question Answering

Large-scale knowledge in the artificial intelligence of things (AIoT) field urgently needs effective models to understand human language and automatically answer questions. Pretrained language models achieve state-of-the-art performance on some question answering (QA) datasets, but few models can answer questions on AIoT domain knowledge. Currently, the AIoT domain lacks sufficient QA datasets and large-scale pretraining corpora. In this article, we propose RoBERTa<inline-formula><tex-math notation="LaTeX">$_{\mathrm AIoT}$</tex-math></inline-formula> to address the problem of the lack of high-quality large-scale labeled AIoT QA datasets. We construct an AIoT corpus to further pretrain RoBERTa and BERT. RoBERTa<inline-formula><tex-math notation="LaTeX">$_{\mathrm AIoT}$</tex-math></inline-formula> and BERT<inline-formula><tex-math notation="LaTeX">$_{\mathrm AIoT}$</tex-math></inline-formula> leverage unsupervised pretraining on a large corpus composed of AIoT-oriented Wikipedia webpages to learn more domain-specific context and improve performance on the AIoT QA tasks. To fine-tune and evaluate the model, we construct three AIoT QA datasets based on the community QA websites. We evaluate our approach on these datasets, and the experimental results demonstrate the significant improvements of our approach.
Expression of a synthetic protein with a high proportion of essential amino acids by Pichia pastoris

It is widely known that an adequate intake of proteins with essential amino acids stimulates the production of essential nonprotein substances for the body, such as serotonin, thyroid hormones, and glutathione. Biotechnology applications can focus on food and its benefits for human health, either by improving the nutritional value of existing foods or developing new alternatives that can help resolve the effects of poor nutrition. The yeast Pichia pastoris has been designated as a GRAS (generally recognized as safe) microorganism and is currently used to produce a large number of recombinant proteins. In this study, a 100% synthetic protein was expressed intracellularly as a protein with high nutritional quality that contains a 75% ratio of essential amino acids using the expression system of the yeast P. pastoris. This approach might offer future possibilities for using the modified yeast as a single-cell protein source in the livestock industry and the food supplement market to reduce total protein intake.
Effects of perceived value, expectation, visitor management, and visitor satisfaction on revisit intention to Borobudur Temple, Indonesia

ABSTRACT Borobudur Temple is a World Heritage Site in Java, Indonesia, that sees millions of visitors each year. However, first-time sightseers make up the vast majority of visitors, leaving questions as to why few people decide to return to the site. This study aimed to analyze the effects of perceived service quality, perceived value, expectation, and visitor management on visitor satisfaction, and the effect of satisfaction on revisit intention. Data analysis comprised descriptive analysis to determine Borobudur visitors’ agreement level with the aforementioned variables, correlation analysis of these variables with respondents’ characteristics, and regression analysis to identify the effect of the variables on revisit intention. Country of origin was the only visitor characteristic to have a positive and significant correlation with revisit intention. Our hypothesis that all variables have a positive and significant correlation with revisit intention was confirmed, but contrary to previous studies, expectation and perceived value had a greater impact on revisit intention than satisfaction and visitor management. Based on these findings, development of Borobudur and other cultural heritage sites should primarily take visitors’ expectations into account, along with the cultural values inherent in the temple. Visitor experience should be maximized alongside maintaining the cultural significance of the site.
iRASPA: GPU-accelerated visualization software for materials scientists

A new macOS software package, iRASPA, for visualisation and editing of materials is presented. iRASPA is a document-based app that manages multiple documents with each document containing a unique set of data that is stored in a file located either in the application sandbox or in iCloud drive. The latter allows collaboration on a shared document (on High Sierra). A document contains a gallery of projects that show off the main features, a CloudKit-based access to the CoRE MOF database (approximately 8000 structures), and local projects of the user. Each project contains a scene of one or more structures that can initially be read from CIF, PDB or XYZ-files, or made from scratch. Main features of iRASPA are: structure creation and editing, pictures and movies, ambient occlusion and high-dynamic range rendering, collage of structures, (transparent) adsorption surfaces, cell replicas and supercells, symmetry operations like space group and primitive cell detection, screening of structures using user-defined predicates, and GPU-computation of helium void fraction and surface areas in a matter of seconds. Leveraging the latest graphics technologies like Metal, iRASPA can render hundreds of thousands of atoms (including ambient occlusion) with stunning performance. The software is freely available from the Mac App Store.
Chemical Characterization and in Vitro Antioxidant Activity of Honey from Different Localities of Côte D’ivoire

Aims: Although the honey produced in Côte d'Ivoire is widely used in households, there is no technical sheet mentioning its chemical composition. Thus, the present study aimed to fill this gap while studying the chemical composition and antioxidant power of eleven honey samples from nine localities in Côte d'Ivoire. Methodology: The identification of secondary metabolites in the different honey samples was carried out by TLC and by color reaction tests. The quantification of these was performed by spectrophotometry. The antioxidant power of the honey samples was studied by DPPH and FRAP methods. Results: All honey samples contains secondary metabolites from various families, with varying contents of total phenolic compounds and flavonoids. Overall, the honey samples showed a notable antioxidant profile, making them good free radical scavengers. The relationship established between the different variables analyzed showed in some cases positive and significant correlations. Conclusion: The results of this study show that the honey produced in Côte d'Ivoire is of good quality. Therefore, its recurrent consumption could contribute to fighting certain pathologies caused by oxidative stress.
Optical properties of natural dyes: prospect of application in dye sensitized solar cells (DSSCs) and organic light emitting diodes (OLEDs)

Optical properties (absorbance, fluorescence, and transmittance) of the natural dyes extracted from flower, leaf, bark and rhizome of some plant species available in Nepal have been explored, with the prospect of application in dye-sensitized solar cells (DSSCs) and organic light emitting diode (OLED) employing UV-Vis. , Fluorescence and FTIR Spectroscopy. The extraction process was carried out using solvents with a varying polarity index of ca. 0 to 10: cyclohexane (CH), dichloromethane (DCM), acetone, ethanol (EtOH), methanol (MeOH) and double distilled water (DDW). The absorbance was found to depend on the nature of solvent used; the dye samples, A. vasica Nees (in DDW, acetone, DCM and CH), N. arbor-tristis L (in MeOH and CH), U. dioica L (in EtOH, acetone, DCM and cyclohexane), O. wightiana Wall (in acetone and CH), A. vulgaris L (in DCM and cyclohexane), C. coccinea Wall (in DCM), R. anthopogon D.Don (in DCM) and W. fruticosa L (in CH), showed good absorbance in the visible-region and blue shift in the absorbance maxima was noticed with increase of the polarity index of solvents. Some plant extracts showed intense fluorescence emission in the visible region, which hints at their prospect of application in the OLED devices.
PENTINGNYA PENGENALAN VAKSIN DI MASA PANDEMI COVID-19 DESA IBUL KECAMATAN SIMPANG TERITIP

Pandemi covid-19 melanda dunia, juga memberikan dampak yang terlihat nyata dalam berbagai sektor diantaranya sosial, pariwisata, dan pendidikan. Pandemi Covid-19 masih melanda berbagai wilayah di Indonesia. Hingga 25 Februari 2021, terdata sebanyak 157.859 kasus baru sehingga secara akumulatif terdapat 1.314. 634 kasus Covid-19. Kasus sembuh bertambah 112.867 pasien sehingga total pasien sembuh sebanyak 1.121. 411 orang. Namun kasus meninggal bertambah 6.85 orang menjadi 35.518 orang. Covid-19 telah melanda 34 Provinsi dan 485 Kabupaten atau Kota (Covid19.gold.id,25februari2021). Menurut Direktorat surveilans dan karantina kesehatan dan Ditjen P2P Kementrian Kesehatan (2020) vaksin merupakan suatu senyawa (biologis) yang diberikan kepada seseorang dengan maksud untuk menghasilkan kekebalan terhadap suatu penyakit dengan cara menstimulasi produksi antibody. Pemateri Nur Azizah,S KM yang bertema “Kebijakan Pemberian Imunisasi covid-19” materi tersebut berisi tentang pengertian vaksin, penyuntikan vaksin, tujuan vaksin covid-19, sasaran vaksin covid-19, dosis dan cara pemberian vaksin covid -19, dan besrta alur pelayanan vaksinasi covid 19. Untuk saat ini sangatlah penting diadakan sosialisasi tentang vaksin covid-19 untuk memerangi berita hoax yang beredar saat ini ,agar masyarakat tidak merasa takut untuk di vaksin covid-19. Penulis melakukan penelitian ini untuk mengetahui apa saja dampak positif yang didapatkan dari hasil sosoalisasi tentang vaksin covid-19. Sosialisasi tentang vaksin covid-19 untuk memerangi berita hoax yang beredar saat ini ,agar masyarakat tidak merasa takut untuk di vaksin covid-19
Effects of Electron Beam Irradiation on 3D-Printed Biopolymers for Bone Tissue Engineering

Implanting scaffolds designed for the regeneration or the replacement of bone tissue damaged by diseases and injuries requires specially designed biomaterials that promote cell adhesion. However, the biodegradation rate of these scaffolds based on a single material is uniform. Four-dimensional printing appears to be a promising method to control this aspect by changing the shape and/or the intrinsic properties of 3D-printed objects under the influence of external stimuli. Two main classes of biomaterials and biocomposites based on biopolyesters, namely poly(lactic acid) (PLA) and poly(caprolactone) (PCL), were used in this study. Each of them was mixed with the inorganic filler hydroxyapatite (HA), which is a component of natural bone. The biocomposites and biomaterials were prepared using the melt extrusion process and then shaped using a 3D printer. Three-dimensional specimens showed a decrease in elongation at break and breaking strain due to variations of crystallinity. The crystallinity of irradiated samples increased slightly with irradiation and a new crystalline phase was observed in the case of the PLA. Four-dimensional printing of biomaterials using electron radiation shows great promise for bone tissue engineering based on biocomposite scaffolds and other medical applications.
Reliability of Seismic Performance Assessments for Individual Buildings and Portfolios

Seismic performance and loss assessments are required in areas of Insurance, Finance and Public Policy. Providers are Structural Engineers and Risk Management Firms. There are no current procedures to evaluate the epistemic and aleatory uncertainties for such assessments. The essential issue is whether or not there is sufficient reliability in the result to use the result as the basis for risk management decisions and actions. For a single building this may be whether or not a prescribed earthquake performance level is met, life safety or if a portfolio’s vulnerability level is acceptable, whether the. loss for a given time period is less than a stated value. A method based in part on Federal Emergency Management Agency P-695, is developed for evaluating the reliability of performance and/or loss assessments for both individual and portfolios of buildings. Consideration is given to how well the building investigation and corresponding evaluation process have been performed, the qualifications of the person(s) doing the assessment, the thoroughness of the building evaluation, the technical validity of the assessment procedure or model and what computational reliabilities are presented. The method characterizes the uncertainty of each component of the assessment procedure for each building by qualitative determined assignments. The resulting reliability measure is likely to be most useful for determining whether/or not a building has acceptable life safety performance, or if a portfolio has an acceptably low loss risk over a given period of time. In both cases, the reliability must either be sufficient to warrant action, or serve to indicate need for improved assessment.
Galactic Cosmic Ray increase associated to an interplanetary magnetic cloud observed by HAWC

We present the observation of an anomalous increment of the galactic cosmic ray (GCR) flux observed by the HAWC array during October 2016. We propose that this anisotropy of the GCR flux was caused by a magnetic flux rope (MFR) i. e. , by the helicoidal magnetic field of an interplanetary coronal mass ejection observed at 1 AU at the same time. We computed the trajectory of protons with energy in the range of 10 to 60 GeV, traveling inside the helicoidal magnetic field observed in situ. The direction of these particles changes towards the axis of the MFR resulting in an anisotropy of the GCR flux along this axis. This model shows that the alignment between theMFR axis and the HAWC ́s asymptotic direction, combined with the high sensitivity of HAWC, allowed us to observe the effect of the passage of the MFR on the GCR flux. We present the HAWC observation associated with the passage of the MFR as well as the heliospheric circumstances around such phenomenon.
Ferrofluid synthesis using oleic acid coated Fe3O4 nanoparticles dispersed in mineral oil for heat transfer applications

Ferrofluids are stable dispersion of iron oxide nanoparticles in a carrier fluid which find potential applications in heat transfer. Fe3O4 nanoparticles of mean size in the range of 5–10 nm were synthesized using conventional co-precipitation method. This work deals with the synthesis of ferrofluids using mineral oil as a carrier fluid and oleic acid coated Fe3O4 nanoparticles as dispersed phase. Morphology (shape and size) and crystallinity of the synthesized nanoparticle is captured using TEM and XRD. Oleic acid coating on nanoparticle is probed using FTIR for confirming the stability of ferrofluid. Thermal properties of mineral oil based ferrofluid with varying concentration of nanoparticles are evaluated in terms of thermal conductivity. It was found that the thermal conductivity of ferrofluid increases upto 2.5% (w/v) nanoparticle loading, where a maximum enhancement of ∼51% in thermal conductivity was recorded as compared to the base fluid.
Robust and High Photoluminescence in WS2 Monolayer through In Situ Defect Engineering

The photoluminescence quantum yield (PLQY) of the chemical vapor deposition (CVD) grown transition‐metal dichalcogenides (TMDs) films is often much lower than their mechanically exfoliated counterparts, making the coexistence of large‐area and high PLQY in TMDs monolayer a huge challenge. Here, an in situ defect engineering strategy is reported to fundamentally dilutes the impact of intrinsic sulfur vacancy on tungsten disulfide (WS2) monolayer. By ingeniously incorporating oxygen atoms in the sulfur vacancy sites of WS2 lattice via the CVD method, oxygen doped WS2 monolayer exhibits remarkably improved optical properties. The PLQY is uniformly enhanced by nearly two orders and can reach up to 9.3%, which is even higher than mechanically exfoliated counterparts. Besides, strong W‐O bonds endow materials with superior environment stability, and the high PLQY could persist with an endurance of up to 3 months under ambient conditions without any protection. More in‐depth insights from the first‐principle calculations illustrate that the enhancement mechanism is the synthetic action of the suppression of nonradiative recombination and conversion from trion to neutral, and the excellent stability arises from repaired saturated coordination bonds at sulfur vacancy sites. This method opens up more possibilities for both fundamental exciton physics and optoelectronics applications.
Characterization of Potential Candidate Genes for Grain Size in Wild Emmer Wheat Triticum Dicoccoides

There is an incessant need to address food security in staple crops, and the crop yield is positively correlated with grain weight. Grain size, determined by grain length and width, is an essential component of final grain weight in cereals. Wheat wild relatives are the goldmine to harness any trait of interest, including the component traits of grain size. It is crucial to understand the detailed mechanism of grain size formation and unravel underlying genes controlling grain size in these species for their proper utilization in wheat improvement. In this study, gene expression analysis was performed on developing grain in wild tetraploid progenitor Triticum dicoccoides (AABB) to identify candidate genes involved in determining grain size. Four T. dicoccoides accessions were selected, two (pau5228 and pau5322) with higher grain length and weight and two (pau14703 and pau14756) with comparatively smaller grains.Six genes out of the eight genes selected for expression study, viz., GL7, TaGL3, TaGS5, GS3, SRS3, and TaGASR7, were upregulated from 8 days post-anthesis (DPA) to 20 DPA in both the large grain accessions, while TaGW2 gene was upregulated in both small grain accessions. TGW6 was downregulated in all the accessions at all stages of grain development. The results indicated that the selected genes play an essential role in grain size formation by controlling individual morphometric components of grain length and width. Targeted introgression genes controlling grain size components will eventually aid in improving grains yield.
Isolation of Bacteria with Purifying Potential and Application in the Treatment of Effluents from an Artisanal Palm Oil Mill in the Littoral Region of Cameroon

It is with the aim of solving the problem of generating large quantities of effluents from palm oil production in the littoral region of Cameroon that this study was carried out with the general objective of reducing the pollutant load of these effluents by using bacteria. To this end, raw palm oil mill wastewater samples were taken for their characterization by evaluating the in-situ (Temperature, pH and (CND) Conductivity) and ex-situ (SS (suspended solid), COD (chemical oxygen demand), BOD (biological oxygen demand) and O/F (oil and fat)) parameters. In addition, bacterial isolation and screening were carried out from samples of contaminated soil based on the production of lipolytic enzymes, the degradation of oils and fats and the reduction of the pollutant load. Results revealed that 28 isolates were able to reduce the pollution parameters of palm oil mill effluents of which D17, D22 and D23 seemed to be the best purifying isolates. The characterization of the POME (palm oil mill effluent), basing the temperature, pH, CND, O/F, SS, BOD and COD showed us values greater than the recommended rate. Partial characterization of these isolates revealed that D17 and D23 are bacteria that could reduce the polluting parameters of the effluents belonged to the Bacillus sp. genus and D22 to the Acinetobacter sp. genus. These results are satisfactory and the bacteria strains obtained could be used in bioremediation.
The Relevance Analysis Of Accounting Information, Corporate Social Responsibility And Leverage As Moderation Variables

An investor always needs accounting information in determining an investment decision. Accounting information relates to many matters relating to the Company's activities in certain periods. The research aims to test and analyse the relevance of accounting information, corporate social responsibility and leverage as moderation variables. The study population of 11 banking companies registered in the IDX period was 2015 – 2018 with a sample number of 44 observations. This sampling technique uses the purposive sampling method. This research hypothesis test uses multiple linear regression with the Moderated Regression Analyys (MRA) approach. Independent variables in this study are the value of profit, book value, and corporate social responsibility. Leverage as a moderation variable and stock price as the dependent variable. The results of this study show that the value of profit, book value and corporate social responsibility affect the stock price. Leverage as a moderation variable can strengthen the book value relationship to the share price, but it cannot strengthen the value of profit relationship to the share price and corporate social responsibility towards the share price. It can be concluded that the value of profit, book value and corporate social responsibility has the relevance of accounting information value. Leverage as a moderation variable can only strengthen the book value relationship to the share price. The degree of research is expected to increase the amount of data samples to achieve more significant results.