Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of low frequency signals emitted by wind turbines of two different generator types

Paper presents results of comparative analysis of infrasound noise generated by wind turbines of two types: asynchronous type REPOWER MM92 with power equal to 2 MW and synchronous type Vensys 62 with power equal to 1.2 MW. Frequency spectra of sound pressure levels generated during operation by both turbines for exemplary chosen wind speed values are depicted. Within the shown spectra the resonant frequencies have been indicated, for which sound pressure variations over time are shown. Based on the achieved frequency spectra it was stated that in general the asynchronous type turbine produces lower pressure levels, which are less stable over time, and indicates higher pressure values around the resonant frequencies as compared to the synchronous type turbine. Also it was stated that the asynchronous type turbine is more influenced by the wind conditions and generates higher pressure values by higher wind speeds then the synchronous type turbine. The main contribution of this paper lies in indication that the type of wind turbine generator has significant impact on the level of infrasound noise emitted to the environment.
CLEP_A_270509 1145..1148

Introduction Cigarette smoking is a potential modifiable risk factor for breast cancer, which accounts for 30% of female cancer and is the second cause of cancer deaths in 2020. However, there are limited studies and inconsistent results on the association between smoking and breast cancer with different estrogen receptor (ER) status. In addition, the potential confoundings by alcohol use in observational studies may interfere with relation between smoking and breast cancer. Smoking is also genetically correlated with alcohol consumption. Mendelian randomization (MR) is a method using genetic variants associated with risk factors to determine the association with a disease. In the progress of heredity, the germline genetic variants are randomly assigned to the offspring and remain constant after conception, which means they are not affected by environmental factors and thus, minimizes the influence of bias and reverse causation in the observational epidemiology. Therefore, we carried out a two-sample MR analysis to explore the potential causal relationship of smoking with breast cancer and its subtypes regarding the ER status.
Creation of a universe from thermodynamic thought experiments I

We describe a thought experiment using an isolated system of known parameters and assuming the correctness of Clausius and Boltzmann descriptions of entropy. The experiment produced an astronomical increase in the number of possible ways the system can be arranged and inescapably in achieving this, an increase in the compartment volume of the system. The result may possibly be of significance to cosmology.
of the Innate Immune Response Expression: Rapid and Sensitive Modulation Protein b MicroRNA Regulation of IFN-Janice

IFN- b production is an inaugural event in the innate immune response to viral infections, with relatively small fold changes in IFN- b expressionresultingintheactivationofimportantantiviralsignalingcascades.InourrapidSIV/macaquemodelofHIVencephalitis,the virus enters the CNS within 4 d ofinfection, accompanied by a marked IFN- b response that wanes as SIV replication is controlled. The centralityof IFN- b to the innate antiviral response in the CNS combines with the potential inﬂammatory damage associated with long-term activation of this pathway to suggest that IFN- b may be subject to regulatory ﬁne-tuning in addition to well-established transcriptional and message stability mechanisms of regulation. Here, we present for the ﬁrst time evidence that microRNAs (miRNAs), including miR-26a, -34a, -145, and let-7b, may directly regulate IFN- b in human and macaque cells. In primary primate macrophages, the main cell type implicated in HIVand SIVinfection in the CNS, speciﬁc miRNAs reduce, whereas miRNA inhibitors enhance, IFN- b proteinproduction. Thepotentialbiologicsigniﬁcanceofthisregulationissupportedbyevidenceofanapparentnegativefeedbackloop, withincreased expression of threeIFN- b –regulating miRNAsbyprimate macrophagesexposed torecombinant IFN- b or stimulated to produce IFN- b . Thus, miRNAs may contribute signiﬁcantly to the regulation of IFN- b in innate immune responses. The Journal of Immunology , 2010, 184: 000–000.
RSSI Signatures for Outdoor WSN Applied to IoT and Smart Campus

- The implementation of IoT solutions in open environments brings challenges regarding the characterization of radio frequency signals, which impacts in the performance of the network. In this paper we propose the identification of radio frequency signal signatures of sensor nodes located in open environments. We analyse the results of a field test conducted in a rural property. For the signatures identification, we employed strategies that use the original signal and the signals as estimated by moving average and Kalman filters. The results indicated the feasibility of using Kalman filters and the original signal to create rules to identify the signal signature.
Mango Peel: A Potential Source of Bioactive Compounds and Phytochemicals

Mango, a highly perishable fruit generates huge amount of wastes during postharvest handling procedures. To exploit the potential value of mango peel, the present study was conducted on two mango varieties viz . Amrapali and Dasheri, which showed that the moisture content ranged from 70-80 per cent and was more in ripe mango peels. The fat, carbohydrate and crude fibre content ranged from 2.00-2.56, 12.20-25.12 and 3.80-8.40 per cent and were significantly higher in ripe peels. The raw peel had high superoxide dismutase, catalase and peroxidase activities. However, the unripe mango peel exhibited good phenolic content and antioxidant potential as depicted by DPPH and FRAP assay. The results of the present study showed that mango peels may be used as a potential rich source of natural antioxidants and can be exploited as an ingredient for functional food products with improved nutritional value.
QUALITY ASSESSMENT OF CURATIVE AND NUTRITIOUS DATE FRUCTOSE BISCUIT BAR

The demand for enhanced nutrition value biscuits is increasing to curb malnutrition syndromes among children and aged peoples. This study was undertaken to evaluate the effects of adding Indian vetch protein isolate and replacement of sucrose with date fructose on the physicochemical and sensory qualities of date fructose biscuit bars (DFBB). Five treatments of date fructose biscuit bars were prepared with different levels of sucrose replacement with date fructose. Control treatment (T 0 ) was prepared without date fructose and Indian vetch protein isolate. The results revealed that addition of protein isolate and date fructose in biscuit bars contributed desirable hardness in texture and acceptable crispness. The bars were shelf stable due to low A w . Dark color was recorded in bars containing 20% date fructose than control. Gross energy values differed significantly among treatments. Mean values ranged from 3.49±0.1 to 4.34±0.2 Kcal/g. In-vitro starch digestibility ranged from 38.90±2.88 to 48.42±1.01mg maltose/g while in-vitro protein digestibility values also showed significant variation (P>0.05) among treatments. Biscuit bars containing 15% Indian vetch protein isolate and 15% sucrose replacement with date fructose were found the best in terms of physical and sensory characteristics. Indian vetch protein isolates (IVPI) and date fructose could be utilized in biscuit bars as a cost effective diet to treat a target populace.
A Transcription Factor g MYB1 Binds to the P1BS cis -Element and Activates PLA 2 - (cid:2) Expression with its Co-Activator g MYB2

Phospholipase A 2 (PLA 2 ) hydrolyzes phospholipid molecules to produce two products that are both precursors of second messengers of signaling pathways and signaling molecules play critical roles during pollen development, pollen germination and tube growth. In this study, analysis of the PLA 2 - (cid:2) promoter using a deletion series revealed that the promoter region –153 to –1 is crucial for its pollen speciﬁcity. Using a yeast one-hybrid screening assay with the PLA 2 - (cid:2) promoter and an Arabidopsis transcription factor (TF)-only library, we isolated two novel MYB-like TFs belonging to the MYB-CC family, denoted here as g MYB1 and g MYB2. By electrophoretic mobility shift assay, we found that these two TFs bind directly to the P1BS (phosphate starvation response 1-bind-ing sequence) cis -element of the PLA 2 - (cid:2) promoter. g MYB1 alone functioned as a transcriptional activator for PLA 2 - (cid:2) expression, whereas g MYB2 directly interacted with g MYB1 and enhanced its activation. Overexpression of (cid:2) MYB1 in the mature pollen grain led to increased expression of not only the PLA 2 - (cid:2) gene but also of several genes whose promoters contain the P1BS cis -element and which are involved in the Pi starvation response, phospholipid biosynthesis and sugar synthesis. Based on these results, we suggest that the TF g MYB1 binds to the P1BS cis -element, activates the expression of PLA 2 - (cid:2) with the assistance of its co-activator, g MYB2, and regulates the expression of several target genes involved in many plant metabolic reactions.
Noise Analysis of CMOS Common-Source/Drain Active Balun

Common-source/drain active balun circuit is composed of just single transistor M1 as shown in Fig. 1, designed in complementary metal-oxide semiconductor (CMOS) technology. This active balun circuit is considered as the simplest topology amongst other active balun configurations. The input signal is fed into the gate of the transistor, and normal operation results in an inverted output signal at RFout2 and a non-inverted signal at RFout1. Ideally, the two outputs would have the same amplitude with a phase shift or difference of 180o. Load resistors R1 and R2 determine the output voltages as well as the voltage gains of the two output signals with respect to the input signal.
Providing A Flexible and Costless Solution For Transitional Sets

: Within this paper, we advise a manuscript upper bound privacy leakage constraint-based method of identify which intermediate data sets have to be encoded and that do not, to ensure that privacy-protecting cost could be saved as the privacy needs of information holders can nonetheless be satisfied. To be able to curtail the general expenses by staying away from frequent computation to acquire these data sets. Such situations are very common because data customers frequently reanalyze results, conduct new analysis on intermediate data sets, or share some intermediate results with other people for collaboration. Across the processing of these programs, a sizable amount of intermediate data sets is going to be produced, and frequently stored in order to save the price of computing them. Cloud computing provides massive computation power and storage capacity which enable customers to deploy computation and knowledge-intensive programs without infrastructure investment. However, protecting the privacy of intermediate data sets turns into a challenging problem because opponents may recover privacy-sensitive information by examining multiple intermediate data sets. Evaluation results show the privacy-protecting price of intermediate data sets could be considerably reduced with this approach over existing ones where all data sets are encoded. Encrypting ALL data takes hold cloud is broadly adopted in existing methods to address this concern. But we reason that encrypting all intermediate data sets are neither efficient nor cost-effective since it is very time intensive and pricey for data-intensive programs to en/decrypt data sets frequently while carrying out any operation in it. Finally, we design an operating heuristic formula accordingly to recognize the information sets that should be encoded.
Dual recognition of chromatin and microtubules by INC ENP is important for mitotic progression

Borealin, and the kinase Aurora B, contributes to the activation of the mitotic checkpoint. The regulation of CPC function remains un-clear. Here, we reveal that in addition to Survivin and Borealin, the single α -helix (SAH) domain of INC ENP supports CPC localization to chromatin and the mitotic checkpoint. The INC ENP SAH domain also mediates INC ENP’s microtubule binding, which is negatively regulated by Cyclin-dependent kinase–mediated phosphorylation of segments flanking the SAH domain. The microtubule-binding capacity of the SAH domain is important for mitotic arrest in conditions of suppressed microtubule dynamics, and the duration of mitotic arrest dictates the probability, but not the timing, of cell death. Although independent targeting of INC ENP to microtubules or the kinetochore/centromere promotes the mitotic checkpoint, it is insufficient for a robust mitotic arrest. Altogether, our results demonstrate that dual recognition of chromatin and microtubules by CPC is important for checkpoint maintenance and determination of cell fate in mitosis.
Impact of Climate Change on Basin Hydrological Characteristics and Thermal Structure of Reservoirs

In this study, a hydrodynamic model of water quality (CE‐QUAL‐W2) coupled with a hydrological model (SWAT) with emission scenarios predicted by general circulation models in the future were applied to examine the impact of climate change on the thermal structure of a reservoir. According to the results, the mean annual air temperature will increase from 1.47 to 1.80°C (B1) and from 2.00 to 2.11°C (A2). The average of the monthly precipitation total will also increase from 2.95 to 3.17 mm (A2) and from 5.32 to 9.67 mm (B1) in the future. The results of the hydrological model indicate river flow reduction (A2 scenario), no variation (ECHAM5‐OM B1) and increase (HadCM3 B1) in the future. Also, the occurrence time of maximum and minimum monthly discharges are projected to change. To determine the importance of upstream watershed hydrology on thermal structure modelling, the simulation was carried out twice, once with and then without the SWAT model. By comparing the results, it was concluded that by applying the coupled model, the climate change impact on upstream hydrology characteristics and temperature effect both in the surface and bottom layers, altered duration of the stratification cycle and its onset and termination, could be simulated successfully. Copyright © 2017 John Wiley & Sons, Ltd.
Generalized Dynamical Modeling of Multiple Photovoltaic Units in a Grid-Connected System for Analyzing Dynamic Interactions

This paper aims to develop the generalized dynamical model of multiple photovoltaic (PV) units connected to the grid along with the dynamic interaction analysis among different PV units. The dynamical models of multiple PV units are developed by considering three different configurations through which these PV units are connected to the grid. These configurations include: (a) the direct connection of multiple PV units to the grid; (b) the connection of multiple PV units to the grid through a point of common coupling (PCC); and (c) the connection of PV units without a PCC. The proposed modeling framework provides meaningful insights for analyzing dynamic interaction analysis where these interactions from other PV units are expressed in terms of voltages and line impedances rather than the dynamics of currents. The dynamic interactions among different PV units for all these configurations are analyzed using both analytical and simulation studies. Simulations are carried out on an IEEE 15-bus test system and dynamic interactions are analyzed from the total harmonic distortions (THDs) in the current responses of different PV units. Both analytical and simulation studies clearly indicate that the effects of dynamic interactions are prominent with the increase in PV units.
Spammer Community Used for Spam Detection in Online Social Media Reviews

: Nowadays, Social media and internet usage increases in day by day. All the facilities are available in a just a click on the internet. The daily usages of items are also available in the social media and E-Commerce websites. The peoples are given an importance to the E-commerce products. The user initially checks the social media reviews of that product and rating of product before buying a product. There is problem if you check a social media review of a product somebody are write a spam reviews of that product. The spam review gives a bad impression of the product to a user. Identifying the spammers and the spam content is an important research area and although a number of studies and different methodology is used to detect the spam reviews. The proposed work is spammer community, which is used to the decrease the negative reviews writing in a social media and E-commerce websites. The spammer community frameworks use the importance of spam features for review datasets as heterogeneous information networks to detect the spam in social media and E-commerce. Its also helps to getting better results in by using different parameters experimented on the review datasets taken from the amazon and Yelp websites.
mHealth Solution for Remote Intrapartum Monitoring: A Feasibility Study

—The primary objective of this study was to evaluate feasibility of a mHealth-based Digital Labour and Delivery Solution (DLDS) for information exchange among healthcare professionals for remote intrapartum monitoring and decision making. The inclusion criteria for the study were a live-singleton pregnancy with cervical dilatation > 4 cm but < 8 cm at the time of admission, and presenting without any complication necessitating an immediate intervention. Throughout labour, all the subjects were monitored using conventional workflows. After each assessment, the in-charge doctor took one management decision from four possible options- (1) “Wait and watch”; (2) “Accelerate the labour”; (3) go for “Assisted vaginal delivery”; and (4) go for “Caesarean section”. For each subject, clinical history, examination, and decision details were entered in the DLDS. A doctor located remotely was asked to use the DLDS application to review two records per subject and take one of the four management decisions. The effectiveness of the DLDS for intrapartum information exchange was evaluated by comparing the decisions taken by a remote doctor using the DLDS to that of decisions taken by a doctor in a labour room. In total, 110 subjects were enrolled for the study. The overall agreement between the two doctors for 220 independent decision points was 0.764 using unweighted Cohen’s kappa and 0.723 using weighted Cohen’s kappa statistic. The substantial agreement between the two doctors for intrapartum decision making demonstrates the feasibility of the DLDS for remote intrapartum monitoring and decision making. However, further investigation is required to assess effectiveness and safety of DLDS for a general purpose remote intrapartum monitoring.
Containing Late Endosomes Antigen Receptor Regulate MHC Class II Cutting Edge: Signals from the B Lymphocyte

The B lymphocyte response to protein Ag is dependent upon the successful presentation to T cells of Ag-derived, MHC class II-restricted peptides. The B cell Ag receptor (BCR) facilitates this process by internalizing ligand and delivering it to specialized compartment(s) (MHC class II peptide-loading compartments (MIIC)) where it is processed into peptides and loaded onto MHC class II. In addition to efﬁciently targeting Ag, the BCR can provide tyrosine kinase-dependent signals that augment the presentation of Ag, possibly by enhancing the generation of immunogenic peptides. However, the mechanism by which this occurs is unclear. Herein, we report that the BCR signals a reorganization, fusion, and acidiﬁcation of an MIIC-like compartment into an invariant chain- and MHC class II-rich complex of large vesicles. This complex becomes the primary target for endocytosed receptors. These data suggest that signals generated by the BCR regulate the site of Ag processing. The Journal of Immunology, 1998, 160: 5203– magniﬁcation) was obtained ( ; 75 per series, 300 total), which encom- passed the ﬁeld within the relevant grid space. Given that the orientation of cells sampled was random and therefore isotropic, volume estimations of the lamp-1 1 -staining vesicles and of the total cell were determined by point counting. To determine the surface area of the lamp-1 1 vesicles, test line intersections crossing the positive-staining vesicle membrane were counted, and the ratio of the lamp-1 1 vesicle surface area to the total cell volume was determined (23).
IRON OXIDE NANOPARTICLE (IONP): CHEMICAL SYNTHESIS AND NEUROTOXIC STUDIES IN WISTAR RAT

In the present study, Iron oxide Nanoparticles (IONPs) were synthesized using a simple chemical co-precipitation method followed by systematic characterization and neurotoxicity assessment in Wistar rats. Transmission Electron Microscopy (TEM) analysis confirmed that the average particle diameter is 16±2 nm. X-ray diffraction (XRD) stick pattern confirms the crystalline cubic spinel structure of IONPs having average diameter of 15 nm. The UV–visible spectrum of IONPs showed absorption maxima at 307–345 nm. Rats were intraperitonealy administered with low dose, moderate dose and high dose of purified and functionalized IONPs dispersed in water. These rats were autopsied on 7, 14, and 28 days post exposure. For neurotoxicity assessment, activity of superoxide dismutase (SOD) and catalase (CAT) as well as levels of Thiobarbituric acid reactive substances (TBARS) were estimated in brain sub-regions namely, frontal cortex, hippocampus, corpus striatum and cerebellum. Activity of SOD and CAT increased in treated groups as compared to control group. Though activity of SOD was found to be significantly high in hippocampus and corpus striatum sub-regions on day 14 th but there occurred no significant changes in CAT activity. TBARS level showed an elevation in all treatment groups at day 7 th and day 14 th with a significant increase in hippocampus and corpus striatum region of high dose group animals on 7 th day, whereas there was a slight decline in its level post 28 th day of IONP exposure. From this study, we conclude that more focused study is required to avoid adverse impacts of IONPs before it is used as a tool in biomedical applications.
Face recognition system

:- In present times, face recognition has become one of the best technologies for computer vision. Face recognition is always a very difficult task in computer vision, illumination, pose, facial expression. Face recognition tracks target objects in live video images taken with a video camera. In simple words, it is a system application for automatically identifying a person from a still image or video frame. In this paper we proposed an automated face recognition system. This application based on face detection, feature extraction and recognition algorithms, which automatically detects the human face when the person in front of the camera recognizing him. We used KLT Algorithm, Viola-Jones Algorithm face detection which detect human face using Haar cascade classifier, however camera is continuously detecting the face every frame, PCA algorithm for feature selection. We apply a model combining to match the geometric characteristics of the human face.