Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Percentage of the Volume of the Electrolyt on CdO Thin Films Growth by Using Electro Deposition Method Under Magnetic Field

This work presented that percentage of the volume of the electrolyte effect on CdO thin films obtained by electrodeposition. The crystal properties were investigated by using an X-Ray diffractometer (XRD). The XRD results showed that polycrystalline structures of CdO were formed which have cubic face form. Besides, the dislocation densities, crystallite sizes and micro strains were calculated via XRD results. It is observed that when percentage of the volume of the Cd(NO3)2 was decreased, the intensity of the films diffraction peaks were increased. The energy band gaps of the samples were varied from the 2.56 to the 2.16 depends on increasing annealing temperature. The surfaces of the CdO samples were analyzed SEM photographs and these photographs showed that there are striated like CdO structure, CdO nanocrystalline grains along with some spongy clusters and CdO nanocrystalline grains on the surfaces of some films. Moreover, the spongy clusters were decreased as CdCl2 volume in the final solution was reduced.
Semilattices Category and Data Representations for Algebraic Machine Learning

Category of semilattices coincides with algebras on a corresponding monad. This statement implies Cartesian-closeness of this category. It means applicability of well-known constructions of (direct) limits of finite functors (such as Cartesian products, equalizers, amalgams, etc.). These structures are useful for representation complex attributes to describe training and test examples for algebraic (lattice-theoretic) machine learning. The paper contains an exposition of these ideas to ‘old-fashioned’ machine learning specialists.
Comparison of ATP-binding cassette transporter interactions with the tyrosine kinase inhibitors imatinib, nilotinib and dasatinib.

Although the development of tyrosine kinase inhibitors (TKIs) to control the unregulated activity of BCR-ABL revolutionized the therapy of CML, resistance to TKIs is a clinical reality. Among the postulated mechanisms of resistance is the overexpression of ATP-binding cassette (ABC) transporters, such as P-glycoprotein (ABCB1) and BCRP (ABCG2), which mediate reduced intracellular drug accumulation. We compared the interactions of the TKIs imatinib, nilotinib and dasatinib with ABCB1 and ABCG2 in ex vivo and in vitro systems. The TKIs inhibited rhodamine 123 and Hoechst 33342 efflux mediated by endogenous expression of the transporters in murine and human hematopoietic stem cells with potency ordered nilotinib>>imatinib>>dasatinib. Studies with ABCB1 -, ABCG2 -, and ABCC1 -transfected HEK 293 cells verified that nilotinib was the most potent inhibitor of ABCB1 and ABCG2. Cytotoxicity assays in stably transduced K562-ABCG2 and K562-ABCB1 cells confirmed that the TKIs were also substrates for the two transporters. Like imatinib, both nilotinib and dasatinib decreased ABCG2 surface expression in K562-ABCG2 cells. Finally, we found all TKIs were able to compete labeling of ABCB1 and ABCG2 by the photocrosslinkable prazosin analog [ 125 I]-iodoarylazidoprazosin, suggesting interaction at the prazosin-binding site of both proteins. Our experiments support the hypothesis that all three TKIs are substrates of ABC transporters and that, at higher concentrations, TKIs overcome transporter function. Taken together, the results suggest that therapeutic doses of imatinib and nilotinib may diminish the potential of ABCB1 and ABCG2 to limit oral absorption or confer resistance. Clinical data are required to definitively answer the latter question. in increasing concentrations of imatinib, nilotinib and dasatinib. Cells were harvested after 14 h, washed twice in ice-cold PBS and then incubated with phycoerythrin-conjugated anti-human ABCG2 antibody or isotype control (both from eBiosicence) in 2% BSA in PBS for 30 min. After staining, samples were subsequently analyzed by flow cytometry in cold PBS containing 2 μ g/mL propidium iodide. Mean channel values of anti-ABCG2 and isotype control histograms were subtracted and calculated relative to untreated control. and multidrug resistance proteins. Trypsinized HEK 293 cells transfected with ABCG2 , ABCB1 or ABCC1 were incubated with the desired fluorescent substrate (1 µM pheophorbide a or 200 nM BODIPY-prazosin for ABCG2; 0.5 µg/ml rhodamine 123 or 200 nM BODIPY-prazosin for ABCB1; or 200 nM calcein AM for ABCC1) in the presence or absence of the desired inhibitor for 30 min at 37°C. Cells were subsequently washed and allowed to incubate in substrate-free medium for 60 min continuing in the absence or presence of inhibitor. FTC (10 µM) served as a positive control for inhibition of ABCG2, valspodar (3 µg/ml) for ABCB1 and MK571 (100 µM) for ABCC1.
Improving Organizational Decision Making Using a SAF-T based Improving Organizational Decision Making Using a SAF-T based Business Intelligence System Business Intelligence System

Today, companies need to quickly adapt to business changes and react to customers' tendencies and market demands in an unpredictable environment. In this field, the analytical systems represent an important asset that each company should have and use. Data Warehousing Systems (DWS) support companies' analytical needs, however, the development and integration of the data systems is a critical part. Due to specificities of the involved data, each DWS is unique, which compromises the use of reusable components or even the use of pre-built solutions. In this paper, we propose a standard skeleton for a DWS based on Portuguese Audit Tax documents (SAF-T (PT)). These documents represent a standardized procedure for every Portuguese company, providing the necessary data about billing, accounting, and taxation. Thus, they can provide the foundations to use them as a standard data representation to create a DWS that can be posteriorly explored by analytical techniques to generate useful insights.
The Tip of Brucella O-Polysaccharide Is a Potent Epitope in Response to Brucellosis Infection and Enables Short Synthetic Antigens to Be Superior Diagnostic Reagents

Brucellosis is a global disease and the world’s most prevalent zoonosis. All cases in livestock and most cases in humans are caused by members of the genus Brucella that possess a surface O-polysaccharide (OPS) comprised of a rare monosaccharide 4-deoxy-4-formamido-D-mannopyranose assembled with α1,2 and α1,3 linkages. The OPS of the bacterium is the basis for serodiagnostic tests for brucellosis. Bacteria that also contain the same rare monosaccharide can induce antibodies that cross-react in serological tests. In previous work we established that synthetic oligosaccharides, representing elements of the Brucella A and M polysaccharide structures, were excellent antigens to explore the antibody response in the context of infection, immunisation and cross reaction. These studies suggested the existence of antibodies that are specific to the tip of the Brucella OPS. Sera from naturally and experimentally Brucella abortus-infected cattle as well as from cattle experimentally infected with the cross-reactive bacterium Yersinia enterocolitica O:9 and field sera that cross react in conventional serological assays were studied here with an expanded panel of synthetic antigens. The addition of chemical features to synthetic antigens that block antibody binding to the tip of the OPS dramatically reduced their polyclonal antibody binding capability providing conclusive evidence that the OPS tip (non-reducing end) is a potent epitope. Selected short oligosaccharides, including those that were exclusively α1,2 linked, also demonstrated superior specificity when evaluated with cross reactive sera compared to native smooth lipopolysaccharide (sLPS) antigen and capped native OPS. This surprising discovery suggests that the OPS tip epitope, even though common to both Brucella and Y. enterocolitica O:9, has more specific diagnostic properties than the linear portion of the native antigens. This finding opens the way to the development of improved serological tests for brucellosis.
Raising Awareness in the Adoption of COVID-19 Preventive Measures in Higher Education Students through an Epidemiological Surveillance Mobile App

COVID-19 disease has started several levels of alert and biosafety protocols to mitigate the risk of contagion everywhere, therefore causing universities to adopt the virtual environments in their teachings, but nowadays it became a necessity to return to classrooms in a short term basis;however, how prepared are we for this “new normal”? In this research, a validated questionnaire was used to measure the knowledge of COVID-19 and preventive measures adopted by university students, before and after the use of an epidemiological surveillance mobile app, developed as a tool to raise awareness in students. The research was quantitative, quasi-experimental, it was applied in a sample of 82 students, the analysis was global and gender inferential using the non-parametric T test for paired samples. The results indicated that the epidemiological surveillance mobile app made possible to raise awareness in the students in the adoption of preventive measures, proposing awareness strategies that allow establishing alerts and timely controls. © 2020 Copyright for this paper by its authors.
CYP3A TIME DEPENDENT INHIBITION RISK ASSESSMENT VALIDATED WITH 400 REFERENCE DRUGS

Although reversible CYP3A inhibition testing is well established to predict the drug to drug interaction potential of clinical candidates, it is only recently that time dependent inhibition (TDI) became the focus of drug designers. Failure of several late stage clinical candidates has been attributed to TDI, and this mechanism is also suspected to play a role in liver toxicities often observed in preclinical species. Measurement of enzyme inactivation rates (k inact and K I ) is technically challenging and a great deal of variability can be found in the literature. In this paper we have evaluated the TDI potential for 400 registered drugs using a high throughput assay format based on determination of inactivation rate (k obs ) at a single concentration of test compound (10 µM). The advantages of this new assay format are highlighted by comparison to data generated using the IC 50 shift assay, a current gold standard approach for preliminary assessment of TDI. Using an empirically defined positive/negative k obs bin of 0.02 min -1 , 4% of registered drugs only were found positive. This proportion increased to more than 20% when in-house lead optimization molecules were considered, emphasizing the importance of filtering this property out when selecting promising drug candidates. Finally, it is suggested that the data and technology described here may be a good basis for building structure activity relationships and in silico modeling.
Original Contribution Alcohol and Risk of Breast Cancer by Histologic Type and Hormone Receptor Status in Postmenopausal Women The NIH-AARP Diet and Health Study

Little is known about the association between alcohol and breast cancer by different tumor characteristics. The study consisted of 184,418 postmenopausal women aged 50–71 years in the National Institutes of Health-AARP Diet and Health Study (1995–2003). Alcohol use, diet, and potential risk factors for cancer were assessed with a mailed questionnaire at baseline. The relative risks and 95% confidence intervals were estimated by using Cox proportional hazards regression. Breast cancer cases and estrogen receptor and progesterone receptor status were identified through linkage to state cancer registries. During an average of 7 years of follow-up, 5,461 breast cancer cases were identified. Alcohol was significantly positively associated with total breast cancer: Even a moderate amount of alcohol (>10 g/day) significantly increased breast cancer risk. In a comparison of>35 g versus 0 g/ day, the multivariate relative risks were 1.35 (95% confidence interval (CI): 1.17, 1.56) for total breast cancer, 1.46 (95% CI: 1.22, 1.75) for ductal tumors, and 1.52 (95% CI: 0.95, 2.44) for lobular tumors. The multivariate relative risks for estrogen receptor-positive/progesterone receptor-positive, estrogen receptor-positive/progesterone receptor-negative, and estrogen receptor-negative/progesterone receptor-negative tumors were 1.46 (95% CI: 1.12, 1.91) for >35 g versus 0 g/day, 1.13 (95% CI: 0.73, 1.77) for >20 g versus 0 g/day, and 1.21 (95% CI: 0.79, 1.84) for >20 g versus 0 g/day, respectively. Moderate consumption of alcohol was associated with breast cancer, specifically hormone receptor-positive tumors.
DeepFake Detection using InceptionResNetV2 and LSTM

“Seeing is believing” is simply not true anymore and has huge ramifications for many different aspects of our life. As technology is improving, it’s becoming easier and easier to develop deepfakes. In fact, some of it is even possible at the palm of hand with app. It’s not easy to detect deepfakes. It has become difficult for the human eye to detect deepfakes. But meanwhile some researchers are working on finding ways to recognize deepfake. Deepfakes are the media which are synthesized using the algorithms of AI. The algorithms of AI are made to learn the attributes of the target image and the source image. The target image is then superimposed on the source image. We aim in detection of video deepfakes using deep learning neural networks like LSTM and InceptionResNetV2. We succeeded to build deepfake detection model by using transfer learning where the pretrained InceptionResNetV2 CNN is used to extract features and for vector formation. The LSTM layer has been trained using the features and the resultant confusion matrix provides us the validation and testing accuracy. The respective model achieved 84.75 percent and 91.48 percent accuracy for 20 and 40 epochs respectively.
False Data Injection Attack Clearance in Microgrid Load Frequency Control

Microgrids are composed of renewable energy sources (RESs) such as wind and solar energy, along with inverters. This device reduces total system inertia due to the lack of rotational mass.In the face of uncertainty, the low system inertia issue may have an impact on microgrid stability and resiliency. The use of Information and Communication Technology (ICT) infrastructure in a power system raises concerns about cyber security.Discrete False Data Injection Attacks (DFDIA) againstAutomatic Generation Control(AGC) systems are studied to see the robustness of proposed controller.In this study, fuzzy logic, Proportional Integral Derivative (PID), Adaptive Neuro Fuzzy Inference System(ANFIS) controller method is applied in power system connected with Virtual Inertia to remove the fluctuations of electric energy and effect of DFDIA
Comparative Analysis of Deep Learning Techniques for Aspect Level Opinion Mining

- Customer reviews seek to determine algorithmically the product aspects and their equivalent views from a assortment of opinions. Therefore, it is very important to create methods for the e-commerce, online shopping of online going to places of interest, which are very important to analyze the good amount of social data that are present on the Web routinely. Opinion mining is defined as mining and analyzing routinely from the text, big data and talk of opinions and reviews by means of various methods, views, emotions, and opinions. In this paper, different deep learning techniques are compared and discussed for mining online reviews those are placed by customers. Our major theme is the establishment of a scheme to analyze opinions that involve judging various consumer products.
SIMULATED PERFORMANCE COMPARISON OF HFC-32 IN FINNED TUBE AND PARALLEL FLOW CONDENSER

Associate Professor, School of Mechanical Engineering Dr. Vishwanath Karad MIT World Peace University, Pune, India ________________________________________________________________________________________________________ Abstract : HFC-32 is being considered as one of the replacement option for HCFC-22 in room air conditioners. HFC-32 is non ODS and its GWP is 675. HFC-32 is moderately flammable and is classified under A2L under latest ASHRAE 34 standard. The volumetric capacity of HFC-32 is about 60% higher compared to HCFC-22. This demands smaller size compressor for HFC-32 for equivalent capacity of HCFC-22. HFC-32 operating pressures (condensing and evaporating) are higher in the range of 60% to 80% than HCFC-22. HFC-32 gives lower pressure drop in heat exchangers than both HCFC-22 and R410A. The pressure drop for HFC-32 in evaporator is about 8% lower than R-410A, and 36% lower than HCFC-22. In condenser, pressure drop are much lower than pressure drop in evaporator. The discharge temperature of HFC-32 is higher than HCFC-22. In this paper, the simulated performance of split air conditioners (SAC) using HFC-32 with nominal cooling capacity of 5.2 kW is compared with finned tube condenser (FTC) and parallel flow condenser (PFC). The simulation has been carried out for SAC using test conditions prescribed in Indian Standards IS 1391 (1992) Part I. PFC gives about 4% and 6.3% higher cooling capacity and EER respectively than that of FTC. PFC gave 9 C lower discharge temperature compared to FTC. HFC-32 charge inside the SAC is about 17.3% lower compared to FTC.
Deep Learning-Based User Feedback Classification in Mobile App Deep Learning-Based User Feedback Classification in Mobile App Reviews

As online users are interacting with many mobile apps under different usage contexts, user needs in an app design process has become a critical issue. Existing studies indicate timely and constructive online reviews from users becomes extremely crucial for developers to understand user needs and create innovation opportunities. However, discovering and quantifying potential user needs from large amounts of unstructured text is a nontrivial task. In this paper, we propose a domain-oriented deep learning approach that can discover the most critical user needs such as app product new features and bug reports from a large volume of online product reviews. We conduct comprehensive evaluations including quantitative evaluations like F-measure a, and qualitative evaluations such as a case study to ensure the quality of discovered information, specifically, including the number of bug reports and feature requests. Experimental results demonstrate that our proposed supervised model outperforms the baseline models and could find more valuable information such as more important key words and more coherent topics. Our research has significant managerial implications for app developers, app customers and app platform providers.
Abstractive Text Summarization Using Attention

: The world we live in is full of text which is increasing day by day but people these days don’t have time to read big paragraphs, articles, reviews or any larger body of text. People want to grasp things but in small summaries. So, our project aims to solve this problem by providing short summaries of the given text using Natural Language Processing that is NLP. Among the many tasks of NLP, text summarization is the most difficult task especially Abstractive summarization. Many Extractive summarization models based on text rank algorithm are available but their summaries are just collection of important words from the text and are not humane, like those of Abstractive model. In this project we have implemented Attention-based Seq2Seq (LSTM/GRU) and Transformer based Abstractive Summarization models which would summarize paragraphs, articles, reviews or any English text in abstractive manner. As a part of UI for the user, a webpage is shown wherein a provision to enter the text is provided. The text is then used as an input to our respective models and the result is an abstractive summary corresponding to the user input.
An implementation Analysis of Risk Mitigation in Software Reusability using Matrix Approach

Component-based programming is one of the most efficient and reliable parameters to improve software development capabilities. The reusable components not only speed up the development process but also increase the software's reliability. But this reliability and efficiency depend on the number of components used along with interfacing with new components. In this work, a weighted approach is defined to perform the analysis and to identify the effectiveness and risk minimization of software reusability and done using Matlab simulations
The runaway greenhouse radius inflation effect-An observational diagnostic to probe water on Earth-sized planets and test the habitable zone concept

Planets similar to Earth but slightly more irradiated are expected to enter into a runaway greenhouse state, where all surface water rapidly evaporates, forming an optically thick H2O-dominated atmosphere. For Earth, this extreme climate transition is thought to occur for an increase of only ∼6% in solar luminosity, though the exact limit at which the transition would occur is still a highly debated topic. In general, the runaway greenhouse is believed to be a fundamental process in the evolution of Earth-sized, temperate planets. Using 1D radiative-convective climate calculations accounting for thick, hot water vapor-dominated atmospheres, we evaluate the transit atmospheric thickness of a post-runaway greenhouse atmosphere, and find that it could possibly reach over a thousand kilometers (i.e., a few tens of percent of the Earth’s radius). This abrupt radius inflation resulting from the runaway-greenhouse-induced transition could be detected statistically by ongoing and upcoming space missions. These include satellites such as TESS, CHEOPS, and PLATO combined with precise radial velocity mass measurements using ground-based spectrographs such as ESPRESSO, CARMENES, or SPIRou. This radius inflation could also be detected in multiplanetary systems such as TRAPPIST-1 once masses and radii are known with good enough precision. This result provides the community with an observational test of two points. The first point is the concept of runaway greenhouse, which defines the inner edge of the traditional habitable zone, and the exact limit of the runaway greenhouse transition. In particular, this could provide an empirical measurement of the irradiation at which Earth analogs transition from a temperate to a runaway greenhouse climate state. This astronomical measurement would make it possible to statistically estimate how close Earth is from the runaway greenhouse. Second, it could be used as a test for the presence (and statistical abundance) of water in temperate, Earth-sized exoplanets.
Karyological studies in Hieracium baeticum (Asteraceae) from

Aparicio, A. : Karyological studies in Hieracium baeticum (Asteraceae) from the "Parque Natural de la Sierra de Grazalema" (Southem Spain). - FI. Medit. 4: 25-34. 1994. - ISSN 1120-4052. Hieracium baeticum is a triploid (2n = 27) species restricted to Iimestone mountains in Sand E Spain. 80th developing capitula and root tips from seedlings were used for the study. The karyotype suggests an allopolyploid ori gin of the taxon, and a relative close affinity between its parental is indicated by the possibility of partial pairing of most chromosomes during microsporogenesis. This process is completely disturbed starting from the first phases to degenerative pollen forrnation: none is forrned or shed. In more than 60 % of the f1owers, some kind of synapsis occurs in pollen mother cells, while there is total univalence in the rest. The species is considered strictly agamosperrnous in ali the studied populations.