Miracle-dz/UniFAR-FTUs huggingface dataset:
Protection coordination scheme for distribution networks with high penetration of photovoltaic generators

The installation of photovoltaic (PV) systems is gaining great attention due to the matured PV technology and the lowered price of PV modules. With an increasing penetration of PV systems, the selectivity of distribution network protection may be affected which results in undesirable de-energisation of loads, damage of network equipment, and reduction of reliability. This study presents a method to preserve the protection coordination considering future PV systems installation with any penetration level and different locations along the distribution feeder. Depending on the accessibility of protection device settings or PV control parameters, the proposed method modifies the existing characteristic curve of overcurrent devices or limits the output current of PV sources, respectively. The proposed strategy does not change the structure of existing distribution network protection system and can also be implemented in the old and non-programmable relays. Meanwhile, it does not need the communication links. The merits of the proposed method are demonstrated through several case studies using the Isfahan distribution network.
DEEP LEARNING BASED BREAST CANCER DETECTION USING ULTRASOUND IMAGE

- In the fields of healthcare and bioinformatics, the definition of breast cancer has been the topic of concern, since this is the second principal explanation for death from cancer in women. This form of study will only be achieved if a sample of breast tissue is extracted from the breast, evaluated, and analyzed under a microscope. In the histopathology lab, problems are detected by examining the specimens using trained and qualified pathologists, and identified with further investigation using special techniques. However, the ultrasound can incorrectly identify pathological changes or conditions because they have practiced in this specialty before. Several pattern recognition studies have recently identified a lot of areas for potential for improvement, and, hence there is now an increased focus on constructing powerful image processing experiments to create a highly-and improving existing diagnoses. Let’s use the histology and image recognition techniques to identify the disease types of breast through the use of the image feature extraction technique and deep learning approaches for the image feature. This picture can be expanded using ultrasound processing and CNN technique is available before ultrasound feature extraction is applied and the final classification in ultrasound feature extraction.
PHENOLIC BIOCHEMICAL PATHWAY IN PLANTS CAN BE USED FOR THE BIOINDICATION OF HELIOGEOPHYSICAL FACTORS

The ecological significance of secondary plant metabolites of phenolic structure in adaptation of boreal plants to environmental changes induced by definite geophysical events or processes is considered. According to results obtained, the total flavonoids in some indicative plant species can be used as a geophysical factor dependent bio indicator for either monitoring background natural environment or assessment of biological effects of the industrial electromagnetic emissions.
Single‐fed 4G/5G multiband 2.4/5.5/28 GHz antenna

In this study, a single-fed printed multiband antenna for 4G/5G wireless communication systems is presented. The proposed multiband antenna consists of Franklin strip monopole antenna to cover 4G, and wireless applications (WLAN and WiMAX), and a rectangular patch antenna that is designed to cover 5G band. Furthermore, a modified compact microstrip resonant cell low-pass filter is printed between the antenna parts to allow feeding the Franklin antenna at low-frequency bands while isolating the Franklin antenna from the rectangular patch at the 5G band. The proposed antenna is designed on Rogers 5880 with compact size 45 × 40 × 0.508 mm 3 . The proposed antenna is utilised to operate at triple band: 2.4, 5.5 and 28 GHz with wide impedance bandwidth (15.8, 23.5 and 11.3%) and the gain reaches (1.95, 3.76 and 7.35 dBi).
DMSO_A_252867 1753..1762

Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao 066000, Hebei Province, People’s Republic of China Aim: To develop and validate a model, which combines traditional risk factors and glycosylated hemoglobin A1c (HbA1c) for predicting the risk of type 2 diabetes (T2DM). Materials and Methods: This is a historical cohort study from a collected database, which included 8419 males and 7034 females without diabetes at baseline with a median follow-up of 5.8-years and 5.1-years, respectively. Multivariate cox regression analysis was used to select significant prognostic factors of T2DM. Two nomograms were constructed to predict the 5-year incidence of T2DM based on traditional risk factors (Model 1) and traditional risk factors plus HbA1c (Model 2). C-index, calibration curve, and time-dependent receiver-operating characteristic (ROC) curve were conducted in the training sets and validation sets. Results: In males, the C-index was 0.824 (95% CI: 0.795–0.853) in Model 1 and 0.867 (95% CI: 0.840–0.894) inModel 2; in females, the C-index was 0.830 (95%CI: 0.770–0.890) inModel 1 and 0.856 (95% CI: 0.795–0.917) in Model 2. The areas under curve (AUC) in Model 2 for prediction of T2DMdevelopment were higher than inModel 1 at each time point. The calibration curves showed excellent agreement between the predicted possibility and the actual observation in both models. The results of validation sets were similar to the results of training sets. Conclusion: The proposed nomogram can be used to accurately predict the risk of T2DM. Compared with the traditional nomogram, HbA1c can improve the performance of nomograms for predicting the 5-year incidence of T2DM.
Tissue Specific Regulation of ACE/ACE2 and AT 1 /AT 2 Receptor Gene Expression By Estrogen in ApoE/ER α Knock-Out Mice

Summary ACE and ACE2 and the AT 1 and AT 2 receptors are pivotal points of regulation in the renin-angiotensin system. ACE and ACE2 are key enzymes in the formation and degradation of Ang II and Ang-(1-7). Ang II acts at either the AT 1 or the AT 2 receptor to mediate opposing actions of vasoconstriction/vasodilation. While it is known that estrogen (E2) acts to down-regulate ACE and the AT 1 receptors, its regulation of ACE2 and the AT 2 receptor and the involvement of a specific estrogen receptor subtype are unknown. To investigate the role of estrogen receptor- α (ER α ) in estrogen’s regulation of ACE/ACE2 and AT 1 /AT 2 mRNAs in lung and kidney, ovariectomized female mice lacking apolipoprotein E (ee) with the ER α (AAee) or without the ER α ( αα ee) were treated with 17- β estradiol (6 µg/day) or placebo for 3 months. ACE,ACE2 and AT1/AT2 receptor mRNAs were measured using reverse transcriptase, real-time polymerase chain reaction (RT/RT-PCR). In the kidney, 17- β estradiol showed 1.7 fold down-regulation of ACE mRNA in AAee mice, with 2.1-fold up-regulation of ACE mRNA in αα ee mice. 17- β estradiol showed 1.5 and 1.8 fold down-regulation of ACE2 and AT 1 receptor mRNA in AAee mice; this regulation was lost in αα ee mice. 17- β estradiol showed marked (81-fold) up-regulation of the AT 2 receptor mRNA in AAee mice. In the lung 17- β estradiol treatment had no effect on AT 1 receptor mRNA in AAee mice, but resulted in a 1.5-fold decreased regulation of AT 1 mRNA in αα ee. There was no significant interaction of estrogen with ER in the lung for ACE, ACE2, and AT2 receptor genes. These studies reveal tissue specific regulation by 17- β estradiol of ACE/ACE2 and AT 1 /AT 2 receptor genes with the ER α receptor primarily responsible for the regulation of kidney ACE2 , AT 1 receptor, and AT 2 receptor genes.
The Structural Relationship of Customer Relationship Management In Direct Sales Business

: The direct sales business was the important business that drive the Thai’s economic. The direct sales businessused the personal selling to marketing tool that difference from retail store and it had an ability to rapidly growing in Thailand. This study was quantitative research method and data collection from 2,000 direct sales businessman by questionnaire that improvement by content validity and reliability analysis. The hypothesis was the information technology, market orientation and organization had direct effect to customer relationship management implementation and indirect effect to business performance. The result indicated that the information technology (IT), market orientation (MO) and organization (ORG) had positive direct effect to customer relationship management implementation and positive indirect effect to business performance. In addition, the customer relationship management implementation had strong positive direct effect to business performance.
Periodikusan gerjesztett gázbuborék bifurkációs struktúrája Bifurcation structure of a periodically excited gas bubble

In the present paper the structure of the oscillation of a periodically driven gas bubble is investigated analytically and numerically as well. To describe the bubble radius evolution in time the Keller-Miksis equation is used. Results show that the liquid dynamic viscosity and the surface tension have significant effect on the oscillation. In water the first one is negligible, and the latter one has a greater effect for bubble radius lower than about 5µm.
An Experimental Study of the Pseudo-Local Flexibility Method for Damage Detection of Hyper-Static Beams

Many vibration-based structural damage detection techniques which perform damage diagnosis of a structure based on structural dynamic characteristic parameters have been proposed in the last two decades. One of the promising approaches proposed recently is the local flexibility method. The local flexibility method, which is founded on virtual forces that cause nonzero stresses in a local part of the structure, can estimate damage locations and local stiffness variations of beam structures. It does not require a finite element model of the beam structure. The structural modal parameters identified from the ambient vibration signals both before and after damage are the key information for the local flexibility method. The number of modes necessary for the local flexibility method is usually quite small, especially for a simply supported beam where only the first mode could be sufficient. However, for a hyperstatic beam, the number of modes required for estimation of the damage could be much higher. This makes the feasibility of the local flexibility method much lower because in practice only the first few modes could be identified with high quality using ambient vibration signals. Therefore, in this study, non-local virtual forces which cause concentrated stresses in a local part and nonzero stresses in the other parts of a structure are employed. The theoretical basis of the proposed method which uses non-local virtual forces is derived. The proposed method is validated with a continuous steel beam experiment. The results illustrate that the non-local virtual forces can determine the local variations of stiffness more accurately with less identified modes. Therefore, the feasibility of the proposed method is higher because limited number of high quality modes can be identified in real world application.
Application of Nanotechnology in Modern Textiles: A Review

Nanotechnology is considered as one of the most promising technologies for the 21st century. Nanoscience along with nanotechnology encompasses the study and application of very small things and can be used across all the other science fields such as physics, chemistry, biology, materials science, and engineering. This technology overcomes the drawback of applying traditional methods to impart certain properties to textile materials. There is no hesitation that in the upcoming years, nanotechnology will break through into every vicinity of the textile industry. Application of nanotechnology in modern textile lies in areas where innovative principles will be combined into long-lasting, multifunctional textile structures without compromising the intrinsic textile properties including aesthetic, breathability, flexibility etc. The current condition of nanotechnological use in textiles arena is reviewed with an emphasis on improving various properties of textiles.
CloudSim Estimation of a Simple Particle Swarm Algorithm

-This paper gives an evolutionary concept of execution of Particle Swarm Algorithm over cloudsim toolkit and propose a new method of searching of cloudlet in future. The paper has five parts. First part covered up the introduction. Second part of this paper focused on Cloud computing and cloudsim toolkit. The use of real infrastructures such as Amazon EC2, limits the experiments to the scale of the infrastructure, and makes the reproduction of results an extremely difficult undertaking. The main reason for this being the conditions prevailing in the Internet-based environments are beyond the control of developers of resource allocation and application scheduling algorithms. That’s why we preferred CloudSim. This toolkit assisted the modeling and generation of virtual machines in a simulated manner such that datacenters, jobs and their mapping to VMs can be done on a same node whereas provide the desirable result. This toolkit can also be helpful when there are more than two datacenters exists or mapping of VMs are required. Third part of the paper explained PSO algorithm and PSO with cloud model with a little result analysis. PSO is based on swarm intelligence and id a good algorithm to find the near optimum. This algorithm is not only gives a good search mechanism but also used for load balancing and for mapping of workflow among other jobs. The fourth part of paper gives the detailed explanation of execution of PSO over cloudsim with results and finally the fifth part covers the conclusion and future scope of the proposed concept.
The sense of nonsense lies in the nonsense of sense. Comment on Paolillo’s

: The present work puts into perspective claims that have been made in a recent article by Paolillo (1998). It is pointed out that the conclusions drawn are based on misrepresentation and misunderstanding of our general approach as well as the aims of the criticized study by Kohler and Ruch (1994) in particular. Different ways of taxonomizing hunter are discussed and it is concluded on the basis of both studies that Far Side humor falls well within the boundaries of the taxonomy of humor we developed. Abstract Thepresent workputs into perspective claims that have been made in a recent article by Paolillo (1998). It is pointed out that the conclusions drawn are based on misrepresentation and misunderstanding of our general approach äs well äs the aims of the criticized study by Köhler and Ruch (1994) in particular. Different ways of taxonomizing humor are discussed and it is concludedon the basis ofboth studies that Far Side humor falls well within the boundaries ofthe taxonomy of humor we developed.
The Metamorphosis of Community Information Service in Rural Areas

Community news and information services continue to slide into a state of disruptive decline as social media platforms transform the way citizens consume news. National organizations, such as the Pew Research Center, offer valuable empirical data and are often first to identify macro-trends. However, unique circumstances faced by community news and information service providers in rural areas do not always mirror the national trends. The purpose of this study is to explore attitudes and strategies among rural area media providers as they grapple with dwindling public support for news and information delivered via local television, radio, and newspapers
A study of the dual problem of the one-dimensional L-infinity optimal transport problem with applications

The Monge-Kantorovich problem for the W ∞ distance presents several peculiarities. Among them the lack of convexity and then of a direct duality. We study in dimension 1 the dual problem introduced by Barron, Bocea and Jensen in [2]. We construct a couple of Kantorovich potentials which is non trivial in the best possible way. More precisely, we build a potential which is non constant around any point that the restrictable, minimizing plan moves at maximal distance. As an application, we show that the set of points which are displaced at maximal distance by a “locally optimal” transport plan is shared by all the other optimal transport plans, and we describe the general structure of all the one-dimensional optimal transport plans.
A Website Selection Model in Programmatic Advertising using Fuzzy Analytic Hierarchy Process and Similarity Methods

—The Web has already become a platform that reshapes business models, thus spawning new opportunities for growth. Furthermore, the Web constitutes an effective media rich communication channel for businesses to contact their customers, support their transactions and promote their products and service through digital marketing. This paper focuses on the applicability of fuzzy logic techniques to assessing web sites performance with respect to digital marketing objectives. This research utilizes the Fuzzy Delphi Method (FDM) the Fuzzy Analytic Hierarchy Process (FAHP) and similarity methods in order to select the web sites that mostly satisfy digital marketing targets that are set by a Communications Company (CC) in Greece. Data on a large number of digital marketing parameters is collected, representing the performance of the CC on the web over a period of time. This paper aims to identify the criteria that can be used for assessing web sites, to determine their relative importance and to rank web sites according to their contribution to CC objectives. Fuzzy logic is utilised to deal with the subjectivity inherent in setting a company’s priorities. FDM is used to capture the managers’ views regarding the assessment criteria and the FAHP is used for determining the criteria’s weights.
Covariance matrix synthesis using maximum ratio combining in coherent mimo radar with frequency diversity

Reliable detection and parameter estimation of a radar cross section(RCS) fluctuating target have been known as a difficult task. To reduce the effect of RCS fluctuation, various diversity techniques have been considered. This paper presents a new method for synthesizing a covariance matrix applicable to a coherent multi-input multi-output(MIMO) radar with frequency diversity. It is achieved by efficiently combining covariance matrices corresponding to different carrier frequencies such that the signal-to-noise ratio(SNR) in the combined covariance matrix is maximized. The value of a synthesized covariance matrix is assessed by examining the phase curves of its entries and the improvement on direction of arrival(DOA) estimation.
The combination of three autoantibodies, ACPA, RF and anti-CarP antibodies is highly specific for rheumatoid arthritis: implications for very early identification of individuals at risk to develop rheumatoid arthritis.

Objective In rheumatoid arthritis(RA), the autoantibodies anti-citrullinated protein antibodies(ACPA) and rheumatoid factor(RF) are commonly used to aid RA diagnosis. Although these autoantibodies are mainly found in RA, their specificity is not optimal. It is therefore difficult to identify RA patients, especially in very early disease, based on the presence of ACPA and RF alone. Also, anticarbamylated protein(anti-CarP) antibodies have diagnostic and prognostic value as the presence of anti-CarP antibodies associates with joint damage in RA patients and with future RA development in arthralgia patients. Therefore, we aimed to investigate the value of combined antibody testing in relation to prediction and diagnosis of (early) RA. Methods A literature search resulted in twelve studies, consisting of RA patients, pre-RA individuals, disease controls, healthy first-degree relatives of RA patients or healthy controls, in which data on RF, ACPA and anti-CarP antibody-status was available. Random effects meta-analyses were carried out for several antibody combinations. Results The individual antibodies are highly prevalent in RA(34%-80%) compared to the control groups, but are also present in non-RA controls(0%-23%). To classify most people correctly as RA or non-RA, the combination of ACPA and/or RF often performs well(specificity:65-100, sensitivity:59-88). However, triple positivity for ACPA, RF and anti-CarP antibodies results in a higher specificity(98-100) (accompanied by a lower sensitivity(27-39). Conclusions As the rheumatology field is moving towards very early identification of RA and possible screening for individuals at maximum risk in populations with a low pre-test probability, triple positivity provides interesting information on individuals at risk to develop RA.
Effect of Manufacturing on Stator Core Losses

Manufacturing processes like cutting, pressing, welding and casing, during the production of cores, significantly increases the core losses of an electrical machine. A modified calorimeter and a special test setup that has same flux density distribution as the actual machine in no-load, is u sed to accurately measure the stator core loss. Finally, t he measured losses are compared with the losses computed by FEM simulation.
Infl uence of Polyphenol Extract from Evening Primrose (Oenothera Paradoxa) Seeds on Proliferation of Caco-2 Cells and on Expression, Synthesis and Activity of Matrix Metalloproteinases and Their Inhibitors

metalloproteinases, cancer Evening primrose ( Oenothera paradoxa Hudziok) seeds are a rich source of not only a valuable oil containing an essential fatty acid -  -linolenic acid (GLA) - but also polyphenols which can be obtained from the biomass remaining after oil pressing. The aim of our studies was to evaluate the in ﬂ uence of a polyphenol extract from defatted seeds of evening primrose on human colorectal adenocarcinoma Caco-2 cell proliferation and matrix metalloprotein- ases (MMPs) synthesis and activity. To assess the effect of evening primrose extract on Caco-2 cell proliferation, crystal violet staining and sulforhodamine B (SRB) assays were used whereas mRNA expression and activity of MMPs were evaluated by RT-PCR and gelatin zymography. The results revealed that the examined polyphenol extract had little in ﬂ uence on Caco-2 proliferation, but effectively in a time- and dose-dependent manner inhibited MMP-1, MMP-7, MMP-9 and MMP-14 mRNA synthesis induced by TNF-  and TPA. Additionally, zymographic analysis revealed that after 24 h, the polyphenol extract at a concentration of 50  mol/L GAE caused a 10-fold reduction in MMP-9 synthesis. Moreover, this extract might be a potent inhibitor of MMP activity. The results showed that polyphenol extract from evening primrose inhibited PBMC-derived MMP-2 and MMP-9 enzymatic activity in dose-dependent manner. The obtained results indicate that the polyphenol extract from evening primrose