Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent multi-agent system for DC microgrid energy coordination control

In this paper, an energy coordination control method based on intelligent multi-agent systems (MAS) is proposed for energy management and voltage control of a DC microgrid. The structure of the DC microgrid is designed to realize the mathematical modeling of photovoltaic cells, fuel cells and batteries. A two-layer intelligent MAS is designed for energy coordination control: grid-connection and islanding of a DC microgrid is combined with energy management of PV cells, fuel cells, loads and batteries. In the hidden layer and the output layer of the proposed neural network there are 17 and 8 neurons, respectively, and the “logsig” activation function is used for the neurons in the network. Eight kinds of feature quantities and 13 different actions are taken as the input and output parameters of the neural network from the micro-source and the load, and the as the control center agent’s decision-makers. The feasibility of the proposed intelligent multi-agent energy coordination control strategy is verified by MATLAB/Simulink simulation, and three types of examples are analyzed after increasing the load. The simulation results show that the proposed scheme exhibits better performance than the traditional approaches.
A Relative Agreement Model for Simulating Human Decision Making and Preventive Behavior during Epidemics

Many computational and mathematic models have been developed to understand human preventive behaviors against infectious diseases and suggest intervention policies. A majority of these models have paid attention to behavioral changes between epidemics, but those occurring within a single epidemic should not be ignored. This article proposes a disease-behavior model with a focus on short-term human decision making process during an epidemic and the resultant adoption of preventive behaviors. Based on relative-agreement rules, this model explicitly represents discrete individuals, the social interactions between individuals, their responses to disease risks, and most importantly, the individualized decision making process. The simulation results suggest that a seasonal influenza epidemic can be controlled by voluntary preventive behavior if above 60% of the population initially held positive attitude toward the adoption. This threshold percentage would elevate as the transmissibility of influenza increases, but can also be reduced by improving the efficacy of preventive behaviors or by encouraging communications between individuals. A number of preventive strategies are recommended to deal with the current circumstances that new vaccines are often insufficient to combat emerging infectious diseases.
Severe Calcific Aortic Stenosis

he physical forces that impede myocardial shortening afterload) are highly relevant to pharmacologic, mechanial, and surgical treatments for left ventricular systolic ysfunction. The maintenance of a normal or near-normal fterload, matched appropriately to robust myocardial conractility and accompanied by adequate venous return and eart rate, together ensure the teleologic cardiac function of elivering oxygen and metabolic substrate to and from the eriphery.
COMPLEXATION OF ACTIVE INGREDIENT THYMOQUINONE OF NIGELLA SATIVA (BLACK SEED) WITH CHROMIUM(VI)

Thymoquinone is a principal and active ingredient of Nigella sativa (Black seed). In the present research its complexation with Cr(VI) has been studied using cyclic voltammetry. Mentioned electrochemical study was carried out at glassy carbon as working electrode, platinum as auxiliary and saturated calomel as reference electrode. Whole practical work was performed at 25 ± 1 ̊C in aqueous medium using NaCl as supporting electrolyte. Comparison of the voltammograms of metal, ligand and the complex suggest presence of pre equilibrium charge transfer process in Cr(VI)-thymoquinone complex. In addition present study reflects effects of scan rates on the complex showing that the complex follows quasi-reversible electron transfer process. E ̊ of complex is found to be 0.260 ± 0.01 V whereas diffusion coefficient was 3.37x10 -5 cm 2 s -1 . The values of transfer coefficients (α and β) were also determined. The value of α was found to be 0.593 ± 0.02 1.231 ± 0.01 whereas values of β were found in the range of 0.750 ± 0.01 – 1.171 ± 0.01. Since present research confirms complex formation between thymoquinone and Cr(VI), it is suggested that current research could be beneficial in eliminating Cr (VI) toxicity. This can be done either by complex formation between the thymoquinone and Cr(VI) or by reduction of Cr(VI) to Cr(III) by thymoquinone. In the former case Cr(VI) in complexed form will be no more harmful whereas in the later case it would be converted into useful form.
OTT_A_250796 5807..5817

1Department of Hepatobiliary Surgery, Zhongshan Hospital, Xiamen University, Fujian Provincial Key Laboratory of Chronic Liver Disease and Hepatocellular Carcinoma, Xiamen, Fujian 361004, People’s Republic of China; 2Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich 81377, Germany; 3Mengchao Hepatobiliary Hospital of Fujian Medical University, The Liver Center of Fujian Province, Fujian Medical University, Fuzhou 350025, People’s Republic of China; 4Faculty of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, People’s Republic of China; 5Department of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, People’s Republic of China
A Gene in Ferret Pneumocystis carinii

Two ferret P. carinii gpA cDNA clones were identified that reacted identically with a panel of anti-gpA monoclonal antibodies, although their nucleotide sequences were 22% divergent. Each clone hybridized to a single mRNA species of 3,600 nucleotides only in P. carinii-mfected lung mRNA, but RT-PCR analysis demonstrated that these cDNA clones were derived from two distinct gpA mRNA transcripts. Further PCR analysis demonstrated that the ferret P. carinii genome contains at least two gpA genes lying in tandem on a single chromosome separated by a 329-bp intergenic region. Based on the terminal gene sequences of this tandem repeat and the cDNA clones, a composite full-length ferret P. carinii gpA coding sequence was constructed. The intergenic region immediately downstream of the stop codon of the first gpA gene contains three putative polyadenylation signals, and constitutes the 3' untranslated region (UTR) of the gpA mRNA. Primer extension of the gpA mRNA resulted in products extending 74 and 244 nucleotides into the 5' UTR. However, the intergenic region lying greater than 25 nucleotides upstream of the first methionine of the second gpA gene was found to be absent from the 5' UTR.
An Efficient Technique to Secure data Access for Multiple Domains using Overlapping Slicing

— Data Mining is the process of analysing data from different perspective, summarizing it into useful information and extracts the needed information from the database. Most enterprises are collecting and storing data in large database. Database privacy is a important responsibility of organizations for to protects clients sensitive information, because their clients trust them to do so. Various anonymization techniques have been proposed for the privacy of sensitive microdata. However, there is considered between the level of privacy and the usefulness of the published data. Recently, slicing was proposed as a technique for anonymized published dataset by partitioning the dataset vertically and horizontally. This paper proposes a technique to increase the utility and privacy of a sliced dataset by allowing overlapped slicing while maintaining the prevention of membership disclosure. Also provide secure data access for multiple domains. This novel approaches work on overlapped slicing to improve preserve data utility and privacy better than traditional slicing
The role of epigenetics for our understanding of nutrition Secondary plant compounds: presence and effects

A Paleolithic diet is a diet trying to mimic human eating behavior during the Paleolithic era when human ancestors lived as hunter- gatherers. “Paleo diets” have gained popularity not only from a scientific perspective, but also as part of a healthy lifestyle based on the rationale that current environmental changes are too rapid for human physiology to adapt to. The aim of this investigation was to summarize available evidence from published studies investigating the effects of Paleolithic diets on physiological parameters. author for “Paleolithic diet” .
Modeling of long-duration two-ribbon flares on M dwarf stars.

Application d'un modele d'eruption solaire de type 2 rubans avec reconnexion magnetique, aux eruptions stellaires de longue duree observees en X par les satellites Exosat et Einstein, pour 2 etoiles naines EQ Peg et Prox Cen. L'accord entre les donnees d'observation et le modele analytique resulte d'un choix de parametres bien definis pour la region d'emission
3D deep learning versus the current methods for predicting tumor invasiveness of lung adenocarcinoma based on high-resolution computed tomography images

Background Different pathological subtypes of lung adenocarcinoma lead to different treatment decisions and prognoses, and it is clinically important to distinguish invasive lung adenocarcinoma from preinvasive adenocarcinoma (adenocarcinoma in situ and minimally invasive adenocarcinoma). This study aims to investigate the performance of the deep learning approach based on high-resolution computed tomography (HRCT) images in the classification of tumor invasiveness and compare it with the performances of currently available approaches. Methods In this study, we used a deep learning approach based on 3D conventional networks to automatically predict the invasiveness of pulmonary nodules. A total of 901 early-stage non-small cell lung cancer patients who underwent surgical treatment at Shanghai Chest Hospital between November 2015 and March 2017 were retrospectively included and randomly assigned to a training set (n=814) or testing set 1 (n=87). We subsequently included 116 patients who underwent surgical treatment and intraoperative frozen section between April 2019 and January 2020 to form testing set 2. We compared the performance of our deep learning approach in predicting tumor invasiveness with that of intraoperative frozen section analysis and human experts (radiologists and surgeons). Results The deep learning approach yielded an area under the receiver operating characteristic curve (AUC) of 0.946 for distinguishing preinvasive adenocarcinoma from invasive lung adenocarcinoma in the testing set 1, which is significantly higher than the AUCs of human experts (P<0.05). In testing set 2, the deep learning approach distinguished invasive adenocarcinoma from preinvasive adenocarcinoma with an AUC of 0.862, which is higher than that of frozen section analysis (0.755, P=0.043), senior thoracic surgeons (0.720, P=0.006), radiologists (0.766, P>0.05) and junior thoracic surgeons (0.768, P>0.05). Conclusions We developed a deep learning model that achieved comparable performance to intraoperative frozen section analysis in determining tumor invasiveness. The proposed method may contribute to clinical decisions related to the extent of surgical resection.
Dynamic 3D Bounding Box Estimation for Video Segmentation from a Non-Stationary RGB-D Camera

—We present a new method for video segmentation of RGB-D video data acquired from a non-stationary RGB-D camera. Our method uses a novel method of dynamic 3D bounding box estimation for moving objects that correctly classiﬁes foreground and background elements of a scene even in the presence of high camera motion. Starting from the acquisition of a dynamic object using a non-stationary RGB-D camera, our method ﬁnds the mapping between different frames of the video data using the image features. The mapping between the image features derives our novel method of dynamic 3D bounding estimation that correctly segments the moving object in spite of the camera motion. The segmented video data can be employed in a number of applications, e.g., video editing, motion capture, action recognition, visual FX processing, or free-viewpoint video.
DEV141515 2689..2689

Fig. 2. PPH-6 and SAPS-1 associate in vivo. (A) Western blot analysis using PPH-6 antibodies on wild-type or pph-6(RNAi) embryonic extracts. The blot was reprobed with α-tubulin antibodies as a loading control (bottom). Note the presence of two species, with the lower one exhibiting the predicted molecular weight of PPH-6 (∼37 kDa). Note also that the ratio between these two species varies among extracts (compare Awith inputs in C). Similar variability is observed for SAPS1 (B,C). The variationmight be due to differences in the developmental stages of the embryos in the different preparations. (B)Western blot analysis of wild-type or saps-1(RNAi) embryonic extracts probed with SAPS-1 antibodies. Note presence of two major specific species, exhibiting the predicted molecular weight of the splice variants of SAPS-1 (∼80 kDa and 87 kDa). A non-specific band (NS) served as a loading control. (C) Coimmunoprecipitation fromwild-type, pph-6(RNAi) or saps-1(RNAi) embryonic extracts using PPH-6 antibodies. Western blots were probed with antibodies against PPH-6, SAPS-1 or α-tubulin, as indicated. In the second row, the input is exposed 10 times longer than the IP. Input/IP=1:50. In three independent experiments, we observed that PPH-6 antibodies retrievedmore PPH-6 from the saps-1(RNAi) extract than from the pph-6(RNAi) extract, despite similar depletion levels of PPH-6. Perhaps PPH-6 not bound to SAPS-1 is more accessible to PPH-6 antibodies. (D) Extract from embryos expressing GFP-SAPS-1 or from wild-type embryos immunoprecipitated with GFP antibodies and analyzed by western blot with GFP or PPH-6 antibodies, as indicated. Note that only the PPH-6 species with the lower molecular weight co-immunoprecipitates with GFP-SAPS-1. Input/IP=1:50 (overall levels of GFP-SAPS-1 protein in the embryonic lysates are low, hence the lack of detection of GFP-SAPS-1 in the input lanes).
Identi cation of Methylated Differentially Expressed Hub Genes and Immune In ltration in Diabetic Retinopathy

Qi Zhou The A liated Hospital of Southwest Medical University https://orcid.org/0000-0003-2547-5945 Xin Xiong The A liated Hospital of Southwest Medical University Min Tang The A liated Hospital of Southwest Medical University Yingqing Lei The A liated Hospital of Southwest Medical University Hongbin Lv (  oculistlhb@163.com ) The A liated Hospital of Southwest Medical University https://orcid.org/0000-0001-5167-7917
Chapter 9 Support Vector Machines and Support Vector Regression 9 . 1 Introduction to Support Vector Machine

The Support Vector Machine (SVM) is one of the most popular and efficient supervised statistical machine learning algorithms, which was proposed to the computer science community in the 1990s by Vapnik (1995) and is used mostly for classification problems. Its versatility is due to the fact that it can learn nonlinear decision surfaces and perform well in the presence of a large number of predictors, even with a small number of cases. This makes the SVM very appealing for tackling a wide range of problems such as speech recognition, text categorization, image recognition, face detection, faulty card detection, junk mail classification, credit rating analysis, cancer and diabetes classification, among others (Attewell et al. 2015; Byun and Lee 2002). Most of the groundwork for the SVM was laid by Vladimir Vapnik while he was working on his Ph.D. thesis in the Soviet Union in the 1960s. Then Vapnik emigrated to U.S. in 1990 to work with AT&T. In 1992, Bernhard E. Boser, Isabelle M. Guyon, and Vladimir N. Vapnik suggested applying the kernel trick to maximum-margin hyperplanes to capture nonlinearities in classification problems. Finally, Cortes and Vapnik (1995) introduced the SVM to the world in its more efficient mode, and since the mid-1990s, the SVM has been a very popular topic in statistical machine learning. The SVM method works by representing the observations (data) as points in space by mapping the original observations of different classes (categories) in such a way that they are divided by an evident gap that is as extensive as possible. The predictions of new observations are done by mapping these observations into the same space, and they are allocated to one or another category depending on which side of the gap they fall. SVM methods are very efficient for classifying nonlinear separable patterns in part by the use of the kernel trick, explained in the previous chapter, which consists of transforming the original input information into a high-dimensional feature space by enlarging the feature space using functions of the predictors; this makes it
Quantitative Proteomics Reveals That Hsp90 Inhibition Preferentially Targets Kinases and the DNA Damage Response*□S

Despite the increasing importance of heat shock protein 90 (Hsp90) inhibitors as chemotherapeutic agents in diseases such as cancer, their global effects on the proteome remain largely unknown. Here we use high resolution, quantitative mass spectrometry to map protein expression changes associated with the application of the Hsp90 inhibitor, 17-(dimethylaminoethylamino)-17-demethoxygeldanamycin (17-DMAG). In depth data obtained from five replicate SILAC experiments enabled accurate quantification of about 6,000 proteins in HeLa cells. As expected, we observed activation of a heat shock response with induced expression of molecular chaperones, which refold misfolded proteins, and proteases, which degrade irreparably damaged polypeptides. Despite the broad range of known Hsp90 substrates, bioinformatics analysis revealed that particular protein classes were preferentially affected. These prominently included proteins involved in the DNA damage response, as well as protein kinases and especially tyrosine kinases. We followed up on this observation with a quantitative phosphoproteomic analysis of about 4,000 sites, which revealed that Hsp90 inhibition leads to much more downthan up-regulation of the phosphoproteome (34% down versus 6% up). This study defines the cellular response to Hsp90 inhibition at the proteome level and sheds light on the mechanisms by which it can be used to target cancer cells. Molecular & Cellular Proteomics 11: 10.1074/mcp. M111.014654, 1–12, 2012.
Depositionandpostdepositionmechanismsaspossible drivers of microbial populationvariability inglacier ice

Depositionandpostdepositionmechanismsaspossible drivers of microbial populationvariability inglacier ice Shu-Rong Xiang, Tian-Cui Shang, Yong Chen & Tan-Dong Yao Institute of the Tibetan Plateau Research, Chinese Academy of Science (CAS), Beijing, China; Key Laboratory of Cryosphere and Environment, CAREERI, ITP, CAS and CAMS, Gansu, China; Department of Plant Pathology, Gansu Agricultural University, Gansu, China; and School of Life Science, Lanzhou University, Gansu, China
Self-assessment Oracles for Anticipatory Testing TECHNICAL REPORT: TR-Precrime-2021-04 Michael Weiss and Paolo Tonella UNCERTAINTY-WIZARD: Fast and User-Friendly Neural Network Un- certainty Quantification

Uncertainty and confidence have been shown to be useful metrics in a wide variety of techniques proposed for deep learning testing, including test data selection and system supervision. We present UNCERTAINTYWIZARD, a tool that allows to quantify such uncertainty and confidence in artificial neural networks. It is built on top of the industry-leading TF.KERAS deep learning API and it provides a near-transparent and easy to understand interface. At the same time, it includes major performance optimizations that we benchmarked on two different machines and different configurations. TECHNICAL REPORT iii TR-Precrime-2021-04 — UNCERTAINTY-WIZARD
Artefact-free color and contrast modiﬁcation

—This work is concerned with the modiﬁcation of the gray level or color distribution of digital images. A common drawback of classical methods aiming at such modiﬁcations is the revealing of artefacts or the attenuation of details and textures. In this work we propose a generic ﬁltering method enabling, given the original image and the radiometrically corrected one, to suppress artefacts while preserving details. The approach relies on the key observation that artefacts correspond to spatial irregularity of the so-called transportation map , deﬁned as the difference between the original and the corrected image. The proposed method draws on the non-local Yaroslavsky ﬁlter to regularize the transportation map. The efﬁciency of the method is shown on various radiometric modiﬁcations: contrast equalization, midway histogram, color enhancement and color transfer. A comparison with related approaches is also provided.
EFFECT OF FEEDING SPIRULINA DIETS ON THE RATES OF METABOLISM AND EXCRETION AND PROXIMATE COMPOSITIONS IN XIPHOPHORUS HELLERI

Spirulina diet significantly influenced the rates of metabolic and ammonia excretion and proximate composition in X. helleri. The rate of oxygen consumption decreased as the Spirulina level increased. A significant (P < 0.01) and negative correlation was obtained between rearing period and rate of oxygen consumption while ammonia excretion elicited the reverse trend in X. helleri fed all the Spirulina diets. The protein content increased with time and Spirulina levels in the diet. However, the trend was reversed in lipid and nitrogen free extract. Ovary concentrated more quantum of energy than muscle. The energy content in tissues was gradually increased with time and it elicited the better performance in fish fed with 15% Spirulina diet than other diets. Based on the results, the inclusion of Spirulina in the diet has beneficial effects on the reduction of metabolic stress and lipid level. The depression of metabolic stress conserves the feed energy and utilization of fat resulting the fish become flabby and attractive.
Co-Existence of Two Abnormal Clones: Diploidy with a Unique Inverted 5q Deletion Not Involving EGR1 and Near-Tetraploidy with Monosomy 7 in Biphenotypic Leukemia Arising from Myelodysplastic Syndrome

Biphenotypic Acute Leukemias (BAL) account for less than 5% of all cases of acute leukemias. Cytogenetic abnormalities are very common in BAL occurring in 59-91% of cases. These leukemias are generally associated with a poor prognosis with no clear consensus existing on their optimal management. We report a case of a biphenotypic acute leukemia arising in a patient with a prior history of Myelodyplastic Syndrome (MDS) expressing two cytogenetically distinct clones: a diploid clone with a unique 5q inversion/ deletion not involving EGR1 and a second clone of cells with a near -tetraploidy having monosomy 7 as the main numerical abnormality. The patient is currently alive and remains in remission seventeen months following diagnosis of his BAL after undergoing induction chemotherapy with idarubicin, cytarabine and cladribine and a consolidative double cord blood transplant.
The only person you are destined to become is the person you decide to be . –

The constructs of stress and perfectionism are detailed through consolidation of literature. Connections between the experience of stress and the personal trait of perfectionism are analyzed primarily through observed health effects, along with mechanical perspectives. Specifically, the potency of major depressive disorder and chronic fatigue syndrome are found to correlate strongly with perfectionism. An attempt to conclude as to how these associations are maintained is made by drawing information from varying sects of research, concluding that the most plausible reason is a loss of adaptability. Loss of adaptability is primarily facilitated through a malfunction in the hypothalamic-pituitary-adrenal axis, which regulates the stress response system. Future research should attempt to explore in greater detail this system and how it is affected by external loads.