Miracle-dz/UniFAR-FTUs huggingface dataset:
Skin Cancer Classification Application using Flask

Melanoma is one of the predominant types of skin cancer. The affected number has been increasing year after year. Although the deaths can be minimized by early detection and there is where the problem exists and consulting a dermatologist may not always guarantee the success of early detection and diagnoses. At first, the dermatologist examines the skin visually and decides whether it’s a type of skin cancer or a skin allergy. The accuracy of the diagnosis directly corresponds to the experience of the dermatologist. Even a small error in the inspection of the skin might end a life of a person so it is really necessary to have a standard and supporting system which can help dermatologists to identify and diagnose the patients is necessary. So with the advancements in image processing and deep learning algorithms have unleashed the potential to classify and identify the type of skin cancer with a single click of an image. The traditional method involves a lot of pre-processing steps and if something goes wrong in that step the model doesn’t perform well. The accuracy won’t be up to the mark this is where the Convolutional Neural Networks come into the picture. These models don’t require any feature extraction or with some minimal pre-processing steps to be done and it consumes a huge amount of data to be well trained. In this paper, we will compare the transfer learning with end-to-end trained custom deep learning models. It classifies the images into seven different classes. The model is deployed on the web locally which will be handy for the dermatologist to use it as a User Interface for assisting with the identification. The model with the transfer learning shows good results than the one which is trained from scratch. The plots show the difference between them and the way in which they train.
Cytomorphological changes and microorganisms in Pap smear in Type II Diabetes Mellitus - A prospective study

Background: People with diabetes mellitus are more prone to infections like vaginal candidiasis, bacterial vaginosis, etc, due to increased glucose levels in the body. Pap smear testing is a method of cervical screening used to detect potentially pre-cancerous and cancerous lesions in the cervix. While the test may also detect infections caused by various organisms like bacterial vaginosis, candida, trichomonas, Actinomycosis, Chlamydia, etc. Aim: This study aims to analyze the cytomorphological changes and microorganisms in cervical and vaginal cytology and to correlate between them. Objectives: To correlate between the clinical symptoms and microorganisms in the smears to analyze the type of organisms present in diabetic patients and to correlate with the cytomorphological changes in vaginal and cervical smears. Methodology: Cervical smears from diabetic female patients were taken in the department of gynecology. The Pap smear material was obtained using cytobrush and placed immediately into a vial of pap spin collection fluid Liquid Based Cytology (LBC) preparations were made with the cytospin 4 cytocentrifuge (Nanocyt). The smears were stained with Papanicolaou's method and analyzed by a pathologist based on the Bethesda system and all these findings were tabulated and analyzed. Results: The most common organism is candidiasis followed by bacterial vaginosis, and Trichomonas vaginalis with or without inflammation. Reactive changes in the squamous cells are seen. No precancerous or cancerous lesions
Explaining SSD Failures using Anomaly Detection

NAND flash based solid-state drives (SSDs) represent an important storage tier in data centers holding most of today’s warm and hot data. Even with the advanced fault tolerance techniques and low failure rates, large hyperscale data centers utilizing 100,000’s of SSDs suffer from multiple device failures daily. Data center operators are interested in predicting SSD device failures for two main reasons. First, even with RAID [2] and replication [5] techniques in place, device failures induce transient recovery and repair overheads, affecting the cost and tail latency of storage systems. Second, predicting near-term failure trends helps to inform the device acquisition process, thus avoiding capacity bottle-necks. Hence, it is important to predict both the short-term individual device failures as well as near-term failure trends.
Improving Classification of Crisis-Related Social Media Content via Text Augmentation and Image Analysis

performance and better reflect a human annotator’s assessment of the data. Here, we describe how we select image data from the TREC-IS dataset, featurize it, and augment our extant text-based models with this data. We anticipate the image data presents a different view of the data, so we integrate our image-and text-based pipelines by taking the union of all labels generated by both pipelines.
Cryo-EM Structure of a Yeast Centromeric Nucleosome at 2.7 Å resolution

Kinetochores mediate chromosome segregation during cell division. They assemble on centromeric nucleosomes and capture spindle microtubules. In budding yeast, a kinetochore links a single nucleosome, containing the histone variant Cse4CENP-A instead of H3, with a single microtubule. Conservation of most kinetochore components from yeast to metazoans suggests that the yeast kinetochore represents a module of the more complex metazoan arrangements. We describe here a streamlined protocol for reconstituting a yeast centromeric nucleosome and a systematic exploration of cryo-grid preparation. These developments allowed us to obtain a highresolution cryo-EM reconstruction. As suggested by previous work, fewer base pairs are in tight association with the histone octamer than there are in canonical nucleosomes. Weak binding of the end DNA sequences may contribute to specific recognition by other inner kinetochore components. The centromeric nucleosome structure and the strategies we describe will facilitate studies of many other aspects of kinetochore assembly and chromatin biochemistry.
Soot Formation in Propane/Air Diffusion Flames

Soot formation and growth in propane/air diffusion flames in a wide range of mole ratio of propane to air from 0.01 to 0.1 have been studied experimentally and theoretically. The concentration of acetylene, soot yield and particle size have been measured and the growth of soot particle has been simulated from surface growth and nucleation processes. The rate coefficient of surface growth has been correlated with the mole ratio of propane to air and the comparisons of particle size between measured and calculated results have been made.
Characterizing discretization and filter effects on LES via DNS-assisted evaluations

The current investigation looks at the effect of discretization and filtering schemes on LES numerical errors. Specifically, the impact of lowversus high-order central differencing stencils is judged relative to employing non-unity filter-to-grid ratios via explicit filtering; in addition, the use of smooth versus scale-discriminant filter formulations is considered. A quasi a-priori approach that utilizes data from a tandem DNS calculation is used to perfectly close the LES equations and evolve the set of filtered governing equations on the coarser LES grid. As a result, modeling errors are avoided and the role of the numerical treatment (i.e., discretization and the LES filter) is isolated. The quasi a-priori technique is applied to the full reactive Navier-Stokes system, for which a premixed flame test case is considered, thus providing evaluations of the schemes in the presence of sharp gradients.
Multiresidue mycotoxin analysis in wheat, barley, oats, rye and maize grain by high-performance liquid chromatography-tandem mass spectrometry.

A method has been developed for the simultaneous analysis of 22 mycotoxins in wheat, barley, oats, rye and maize grain. Analysis is carried out with liquid chromatography-electrospray ionisation tandem mass spectrometry. The compounds included in this analysis are aflatoxins, sterigmatocystin, cyclopiazonic acid, tricothecenes, ochratoxin A, fumonisins, zearalonone, and ergot alkaloids. Sample extraction (2 g) with acetonitrile:water (8 ml, 80:20) was carried out for 2 min using a commercial sample preparation apparatus (Stomacher®). The extract was then centrifuged, filtered and analysed. Extraction of fumonisins from maize (2 g) was optimised by first extracting the maize with acetonitrile: water (5 ml, 80:20) followed by the addition of water (3 ml), which permitted extraction of the 22 mycotoxins, including the fumonisins. Chromatography was carried out with a minicolumn (7.5×2.1 mm, 5 µm) (5 µl sample injection) and in 11 min, including column reconditioning. Analysis was carried out with 2 MRM transitions for the precursor ions. All method detection limits were below current maximum Canadian residue limits. Matrix effects for each compound in each of the 5 matrices were estimated and ranged from 70 to 149%, but most were 100±10%. Accuracy, repeatability and ruggedness were established. Proficiency samples from FERA (Food and Environment Research Agency, Sand Hutton, York, UK) were tested and are reported. Finally, 100 field samples of the various grains were tested with this method and are reported with the observation of numerous mycotoxins in all matrices, including ergotamine in winter wheat.
Molecular characterization of four Mullet species based on SCoT and ISSR markers

Fish production play a great role in the nutritional foods of the human because of its high source polyunsaturated fatty acids (PUFAs) especially omega-3, omega-6, vitamins and minerals, and relatively low caloric content. These properties could limit atherosclerosis and thrombosis. Also, fishs have different minerals,i.e iron (Fe), Calcium (Ca), Zinc (Zn), Phosphorus (P), Selenium (Se), Fluorine (F) and Iodine (I). These minerals are with high ARTICLE INFO ABSTRACT Article History: Received: Sept. 23, 2020 Accepted: Dec, 30, 2020 Online: Jan. 30, 2021 _______________
Modeling and Control of Hybrid Systems

Hybrid systems are heterogeneous systems that exhibit both continuous dynamics (difference or differential equations) and discrete dynamics (automata, logic transitions and switching, piecewise linear mappings, quantized commands, etc.). In this talk we introduce a modeling framework for hybrid systems that is directly tailored to the synthesis of stabilizing model predictive controllers based on combinatorial optimization and multiparametric programming. We show that hybrid optimal control laws can be computed in closed-form and that they are piecewise affine state-feedback functions, a very attractive feature for fast-sampling applications. We also propose the combined use of convex programming and constraint satisfaction techniques as an efficient approach to solve complex optimal control problems for hybrid systems. The effectiveness of the techniques will be illustrated through a few industrial case studies.
Nowa: A Wait-Free Continuation-Stealing Concurrency Platform

It is an ongoing challenge to efficiently use parallelism with today’s multi- and many-core processors. Scalability becomes more crucial than ever with the rapidly growing number of processing elements in many-core systems that operate in data centres and embedded domains. Guaranteeing scalability is often ensured by using fully-strict fork/join concurrency, which is the prevalent approach used by concurrency platforms like Cilk. The runtime systems employed by those platforms typically resort to lock-based synchronisation due to the complex interactions of data structures within the runtime. However, locking limits scalability severely. With the availability of commercial off-the-shelf systems with hundreds of logical cores, this is becoming a problem for an increasing number of systems.This paper presents Nowa, a novel wait-free approach to arbitrate the plentiful concurrent strands managed by a concurrency platform’s runtime system. The wait-free approach is enabled by exploiting inherent properties of fully-strict fork/join concurrency, and hence is potentially applicable for every continuation-stealing runtime system of a concurrency platform. We have implemented Nowa and compared it with existing runtime systems, including Cilk Plus, and Threading Building Blocks (TBB), which employ a lock-based approach. Our evaluation results show that the wait-free implementation increases the performance up to 1.64× compared to lock-based ones, on a system with 256 hardware threads. The performance increased by 1.17× on average, while no but one benchmark exhibited performance regression. Compared against OpenMP tasks using Clang’s libomp, Nowa outperforms OpenMP by 8.68× on average.
Flexible Partial MDS Codes

—The partial MDS (PMDS) code was introduced by Blaum et al. for RAID systems. Given the redundancy level and the number of symbols in each node, PMDS codes can tolerate a mixed type of failures consisting of entire node failures and partial errors (symbols failures). Aiming at reducing the expected accessing latency, this paper presents ﬂexible PMDS codes that can recover the information from a ﬂexible number of nodes according to the number of available nodes, while the total number of symbols required remains the same. We analyze the reliability and latency of our ﬂexible PMDS codes.
Maximum heart rate obtained and calculated in maximum cycloergometer tests

resumo Objetivo: Avaliar a validade de seis equações preditivas de Frequência Cardíaca Máxima (FCM) em ambos os gêneros submetidos a dois testes máximos com metodologias diferentes, além de comparar a reprodutividade da FCM obtida (FCMobt). Material e métodos: Foram avaliados 40 jovens aparentemente saudáveis, sendo 20 homens e 20 mulheres. Foram aplicados dois testes máximos em ciclo, um com progressão a cada 1 minuto (TCM-1) e o outro a cada 2 minutos (TCM-2). Para determinar as diferenças entre a FCMobt nos protocolos e a estimada pelas equações utilizou-se o teste Anova One Way, associado ao teste de Tukey ( P < 0,05). Utilizou-se o teste de correlação de Pearson para comparar a FCMobt nos protocolos. Resultados: Nas mulheres, a FCMobt foi 180,5 + 8,7 bpm (TMC-1) e 181,8 + 10,2 bpm (TMC-2), sem diferença significativa; nos homens 181,5 + 10,2 bpm (TMC-1) e 177 + 6,9 bpm (TMC-2) com diferenças significativas, sem reprodutividade na FCMobt. Nas mulheres, a FCM pela equação de Fernahll et al. foi adequada para o TMC-1, enquanto no TMC2 a equação de Jones et al. foi apontada como adequada; nos homens houve uma situação de inversão das equações consideradas válidas. Conclusão: A seleção das equações para predizer a FCM deve ser específica, segundo o protocolo de cicloergometria selecionado.
Influence of Power Take-Off Modelling on the Far-Field Effects of Wave Energy Converter Farms

The study of the potential impact of wave energy converter (WEC) farms on the surrounding wave field at long distances from the WEC farm location (also know as “far field” effects) has been a topic of great interest in the past decade. Typically, “far-field” effects have been studied using phase average or phase resolving numerical models using a parametrization of the WEC power absorption using wave transmission coefficients. Most recent studies have focused on using coupled models between a wave-structure interaction solver and a wave-propagation model, which offer a more complex and accurate representation of the WEC hydrodynamics and PTO behaviour. The difference in the results between the two aforementioned approaches has not been studied yet, nor how different ways of modelling the PTO system can affect wave propagation in the lee of the WEC farm. The Coastal Engineering Research Group of Ghent University has developed both a parameterized model using the sponge layer technique in the mild slope wave propagation model MILDwave and a coupled model MILDwave-NEMOH (NEMOH is a boundary element method-based wave-structure interaction solver), for studying the “far-field” effects of WEC farms. The objective of the present study is to perform a comparison between both numerical approaches in terms of performance for obtaining the “far-field” effects of two WEC farms. Results are given for a series of regular wave conditions, demonstrating a better accuracy of the MILDwave-NEMOH coupled model in obtaining the wave disturbance coefficient (Kd) values around the considered WEC farms. Subsequently, the analysis is extended to study the influence of the PTO system modelling technique on the “far-field” effects by considering: (i) a linear optimal, (ii) a linear sub-optimal and (iii) a non-linear hydraulic PTO system. It is shown that modelling a linear optimal PTO system can lead to an unrealistic overestimation of the WEC motions than can heavily affect the wave height at a large distance in the lee of the WEC farm. On the contrary, modelling of a sub-optimal PTO system and of a hydraulic PTO system leads to a similar, yet reduced impact on the “far-field” effects on wave height. The comparison of the PTO systems’ modelling technique shows that when using coupled models, it is necessary to carefully model the WEC hydrodynamics and PTO behaviour as they can introduce substantial inaccuracies into the WECs’ motions and the WEC farm “far-field” effects.
Quantitative in vivo absorption spectra of phytoplankton: Detrital absorption and comparison with fluorescence excitation spectra'

Spectra1 absorption of phytoplankton from cultures and natural samples was measured on filters with various optical setups including collimated and diffuse irradiation and measurements ofwetted filters within an integrating sphere. In suspensions within an integrating sphere, specific absorption coefficients for laboratory cultures varied by a factor of only two. Measurements on filters yielded values dependent on filter load. Specific absorption coefficients derived from measurements of sample filters were considerably higher than values obtained from suspensions in an integrating sphere due to increased diffuseness of irradiance and to pathlength amplification by filter-particle and particle-particle interactions. Measured absorption of phytoplankton in the blue can be increased greatly by absorption of detritus, evident from absorption spectra of depigmented samples on filter. After subtracting detrital absorption, absorption spectra of phytoplankton are qualitatively similar to the corresponding quantum-corrected fluorescence excitation spectra. The detritus-corrected ratio of absorption at 440 vs. 675 nm shows average values between 1 and 1.5. Comparison with published values shows that specific in vivo absorption coefficients of phytoplankton arc mostly overestimated as a result of the methodology applied. In the blue region of the spectrum, overestimation of phytoplankton absorption in field samples is possible if detrital absorption is neglected.
DNA Based Hybrid Approach for Data Integrity on Integrated Cloud Based Smart Environment: An Analysis

: Cloud computing is outsourcing IT’s costly infrastructures over the web. Increasing the convenience of IT users, one of its major contributions is storage. Though storage's over the internet make cost efficiency in IT tasks, there exist risks. Fixing the risks relies on the bed of the algorithms that can also keep cloud storage safe and secure. Few security issues that threaten cloud include, theft of data, Integrity of data, data availability, and security at vendor level. As algorithms could determine the complexity and execution time, it also has the property of identifying the efficiency of the system. As the algorithm is presently used highly in the security of data and storage and there is a lack of data integrity in the cloud environment, this paper is intended to make a detailed study on the existing algorithms used to enhance the security of the data on storage. The study is conducted in various dimensions to explore the facts, such as level of security, efficiency, and speed. The algorithms considered for the study include symmetric, Asymmetric, hashing, and hybrid including DNA cryptography. It is believed that, the work would be helpful for the researchers intending to work on securing data at rest.
Analysis of Social Class Inequality Based on the Movie Parasite

This paper aims to study the gap between the rich and poor reflected in movie Parasite. Through the analysis of the audio-visual language of the movie, this article starts with the storytelling of Parasite, enumerates and analyses the elements that appear in the movie to reflect the gap between the rich and poor. The visual effects in the movie scenes to show the big difference in the living conditions of rich and poor families are analyzed. Based on the movie, this article focuses on researching the impact of the gap between the rich and the poor in real modern society, especially in aspects of education and employment. Through the investigation, it is concluded that in modern society, the rich have the vast majority of high-quality resources, and the uneven distribution of social resources makes it difficult for the poor to enter the rich class by their own efforts. The gradual consolidation of the social class has made the gap between the rich and the poor more obvious from generation to generation.
Z OT B OT : Using Reading Comprehension and Commonsense Reasoning in Conversational Agents

We describe the Z OT B OT system for open-ended conversations, designed for the Alexa Prize competition. We focus on two main shortcomings in existing conversational agents: lack of awareness in commonsense reasoning when responding to user utterances (resulting in nonsensical or uninteresting responses) and inability to understand semantics and converse naturally about fact-based articles in a compelling manner. First, we combine existing work in commonsense KBs, pretrained language models, and graph completion models to generate natural and intuitive responses, consistent with our commonsense knowledge, for open-domain utterances. Second, we utilize question generation models for both reading comprehension and conversational followups for discussing fact-based articles. These contributions are implemented within a system engineered to be modular, allowing easy injection of manually-scripted responses, as well as supporting a detailed logging and analysis system. We present examples and analyses highlighting the beneﬁts and shortcomings of Z OT B OT , and conclude with the lessons learned for future research.
Title: Geometry mismatch and reticular chemistry: strategies to assemble metal-organic frameworks with non-default topologies Authors: Vincent Guillerm†* and Daniel Maspoch†‡* Affiliations: † Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and The Barcelona

The past 20 years have witnessed tremendous advances in the field of porous materials, including the development of novel metal-organic frameworks (MOFs) that show great potential for practical applications aimed at addressing global environmental and industrial challenges. A critical tool enabling this progress has been reticular chemistry, through which researchers can design materials that exhibit highly regular (i.e. edge-transitive) topologies, based on the assembly of geometrically-matched building blocks into specific nets. However, innovation sometimes demands that researchers steer away from default topologies to instead pursue unusual geometries. In this perspective, we cover this aspect and introduce the concept of geometry mismatch, in which seemingly incompatible building blocks are combined to generate non-default structures. We describe diverse MOF assemblies built through geometry mismatch generated by use of ligand bend-angles, twisted functional groups, zigzag ligands and other elements, focusing on carboxylate-based MOFs combined with common inorganic clusters. We aim to provide a fresh perspective on rational design of MOFs and to help readers understand the countless options now available to achieve greater structural complexity in MOFs.