Miracle-dz/UniFAR-FTUs huggingface dataset:
The Visions of Luciano Perez, Contemporary Native American Shaman

Abstract This paper presents an interview on the visions of the contemporary Native American shaman Luciano Perez. Born of southern Mexican Indian (P'urepecha) ancestry in Laredo, Texas, on 31 December 1950, he was trained in shamanic practice by the Lakota Sioux spiritual leader Leonard Crow Dog. He begins the interview with general comments on visions, how he experiences them and how they have matured him as a visionary providing him with spirit contact, revelation and power. He then remembers visions in childhood of the 'little people' and of hearing voices calling him. His first adult experience was a revelatory vision at the beginning of his spiritual quest (1973). Finally, he reports a healing vision from 1989 in a chiropractor's office where he sought medical help for severe back pain.
Interaction of gamma radiation on the functionality of the molluscicidal extract of Anacardium occidentale Linn

Biological control of Biomphalaria glabrata that is the intermediate host of Schistosoma mansoni, through molluscicides has been an alternative against schistosomiasis. Many studies have been developed to obtain molluscicide products, from plants. Anacardium occidentale L. (cashew), a plant rich in phenolic compounds shows molluscicidal activity in earlier assays. However there is an interest of enhancing the action of bioactive substances in order to use it in small concentrations, reducing costs in their utilization. This study were conducted using ethanolic extracts of bark and leaves of A. occidentale, before and after exposure to gamma radiation from 60 Co, checking their secondary metabolites, their biological activity against Biomphalaria glabrata and environmental toxicity. The extracts of A. occidentale were obtained by cold maceration in 70% ethanol, filtered, dried and divided into two experimental groups: control (0 kGy) and irradiated at a dose of 10 kGy. The quantification of metabolites was performed in six replicates for the determination of total phenols by Folin-Ciocalteau method and tannins, the precipitation of casein. Tests for biological control of embryos and adults of B. glabrata snails and assessment of environmental toxicity (using Artemia salina larvae) were performed in triplicate, following a period of 24 hours of exposure to extracts at a concentration of 100 mg/L and its respective controls. Data were expressed as percentages of means and standard deviations. The results showed that the gamma radiation from 60 Co resulted in leaf extracts, increased levels of total phenols and tannins, which enhanced the lethality for embryos and adults of B. glabrata. There was a reduction of the toxicity of leaf extracts after irradiation in the Artemia salina. Since in extracts of bark, gamma radiation did not alter the levels of total phenols and tannins, however, it was noted potentiation of lethality of adult snails of B. glabrata. The analysis showed an increase in molluscicidal action, especially from leaf extracts of A. occidentale exposed to 60 Co gamma radiation, which suggests the process of irradiation, as an efficient tool for lethal activity of extracts of A. occidentale in biological control of vector snails of schistosomiasis, to replace synthetic pesticides.
The Mammalian Myocardium

The distinguished editors of The Mammalian Myocardium have assembled a list of contributors that proclaims the quality of this comprehensive exploration of cardiac ultrastructure and what might be termed "ultrafunction. " The stupendous advances of the past decade in subcellular anatomy, physiology, and chemistry are discussed in depth and integrated by consummate authorities in ten separate but mutually related essays. Indeed, it is quite impossible to cite one or another contribution as outstanding because of the uniform standard of excellence achieved. Moreover, the sections are not the familiar train of review articles, but rather based largely on the work of each contributor. Finally, there are no multiauthored chapters, a particularly refreshing quality, since the reader is never in doubt regarding the authority for the facts, theories, hypotheses, and conclusions presented. This book is enriched by contributions by the editors themselves (Brady on myocardial electrophysiology and mechanics; Langer on ionic movements in
Batch studies on the removal of Ni (II) from aqueous solution by Azolla filiculoides

There are many plants which have the ability to accumulate large amounts of heavy metals and one of them is the aquatic fern, Azolla filiculoides . Toxic metals constitute a serious health risk because they accumulate in soils, water and organisms. One of the methods for removing these pollutants from water and soil is the use of plants. The aim of this study was to test the ability of A. filiculoides to adsorb Ni from polluted waters. The maximum uptake of nickel ions by the collected A. filiculoides biomass under the optimal conditions was approximately 45.32 mg/g dry Azolla . Desorption experiments indicated that EDTA was an efficient desorbent for recovery from nickel ions. Key words: Nickel, Azolla filiculoides, wastewater, biosorption.
Events as Grammatical Objects: The Converging Perspectives of Lexical Semantics and Syntax

Introduction Carol Tenny and James Pustejovsky Part I. Foundational Issues in Event Semantics: 1. What lexical semantics reveals about the nature of events Beth Levin 2. Events, predication, and Qualia structure James Pustejovsky Part II. Grammatical Components of Complex Events: 3. The Quantization puzzle Hana Filip 4. Events and thematic role assignments to affected objects Gregory Carlson Part III. Event Structure and the Syntax and Semantics of Adverbs: 5. Some effects of manner adverbials on meaning June M. Wickboldt 6. Manners and events Tom Ernst 7. Core events and adverbial modification Carol Tenny Part IV. Event Structure and Morphosyntax: 8. Event structure in syntax Lisa Travis 9. Verb Frame alternations in Dutch and their acquisition Angeliek Van Hout 10. Ergativity and event structure Elizabeth Ritter and Sara Rosen 11. On lexical verb meanings: evidence from Salish Henry Davis and Hamida Demirdache Part V. Grammaticalization of Events and Non-Events: 12. On the internal structure of stative psychological causatives in Finnish Liina Pylkkanen 13. Anti neo-Davidsonianism Graham Katz Part VI. Thoughts: 14. Where we are in the study of events in natural language Barbara Partee.
Committees as strategic practice: The role of strategic conversation in a public administration

This longitudinal qualitative study examined the role of committees as strategic practice during the implementation of personnel development in a public administration. The results show that the interaction between the management levels is not only organized in formal committees where the middle managers undertake strategic initiatives and the strategic context is set by the senior managers. Rather, the middle managers and the senior managers organize the discussion on strategic issues in informal interactions around committees. These close informal interactions can be understood as a strategic conversation that entails the micro-mechanisms of generating an understanding, aligning towards an issue and making prearrangements which give support for the flow of discussion. The findings show that the strategic conversations are beneficial within shaping strategy as they frame the committee as strategic practice and enable the strategic context to be reshaped and redefined.
THE ICEBERGS OF ADULT LEARNING : FINDINGS OF THE FERST CANADIAN SURVEY OF INFORMAL LEARNING PRACTICES

This paper provides empirical estimates of the extent and distribution of selfreported learning activities in the current Canadian adult population, based on a recent country-wide survey, and briefly addresses some implications of these adult learning patterns. The basic finding from the survey is that most Canadian adults are spending a great deal and increasing amount of time in learning activities, most of this in informal learning on their own. The major implications are that Canada is an increasingly knowledge-based society in any reasonable sense of the term and that Canadian adults' informal learning practices should more explicitly be taken into account in shaping educational, economic, and other social policies. As well, adult educators should take this detectable informal learning into greater account to develop more responsive further education opportunities.
Non-parametric confidence intervals for shift effects based on paired ranks

Non-parametric approaches to derive confidence intervals for the shift effect in paired samples are discussed. These approaches are based on the sign statistic, Wilcoxon’s signed ranks (WSR) and paired ranks. While the intra-individual differences of the observations are ranked for the WSR approach, the observations are first ranked and the differences are considered afterwards for the paired rank approach. Confidence intervals by using paired ranks are derived by iterating the possible shift effects. In this context, an asymptotic as well as an exact approach is proposed. In simulation studies, the performance of all approaches are compared. Finally, an example from a clinical study is analysed. For all approaches the results are almost equal under hypothesis and under alternative. The differences between the asymptotic and the exact version of the paired rank test are negligible. In the case of normal distributions, the approaches based on paired ranks and signed ranks lose only little efficiency while a huge gain in efficiency can be expected in other situations. This is especially true for the paired rank approach, which is more efficient than the approach based on the sign statistic in all investigated situations and more efficient than the signed rank approach in very most situations.
A low-phase-noise CMOS ring oscillator with differential control and quadrature outputs

This paper presents a two-stage 3.3V ring VCO in a 0.35/spl mu/m CMOS technology with differential control and quadrature outputs. The measured common mode noise rejection at 1MHz is 32dB better than for a single-ended control topology. It also has improved supply noise rejection which is 38dB better than conventional differential ring oscillator at 320MHz. The measured phase noise is -117dBc/Hz at a 1MHz offset from the 973MHz center frequency. Since the trend of low-voltage operation degrades oscillator phase noise, our design is particularly well suited for low voltage high performance systems.
Performance analysis and optimization of a mobility support ATM switch

In wireless communication networks, handoff management is one of the challenging areas in order to maintain the connectivity and its efficiency in handling the mobile users. A handoff switch is defined as a point in the network from which a new sub-path to new base station is established. It should have functions for rerouting and buffering. We propose an asynchronous transfer mode (ATM) switch with handoff support functions, which may perform buffering and rerouting efficiently, achieves in-sequence cell transmission and minimizes the cell loss during a handoff. Buffering is needed in the mobility support ATM switch to reduce the cell loss probability (CLP) with tolerable delay maintaining in-sequence cell delivery, which is not available in ATM switch. A mobility support ATM switch with fully shared input buffer functionality is analyzed with required optimum buffer size under bursty (on-off) traffic maintaining the quality of service (QoS) contract.
Diagnosis of Diabetes Using an Intelligent Approach Based on Bi-Level Dimensionality Reduction and Classification Algorithms

Objective: Diabetes is one of the most common metabolic diseases. Earlier diagnosis of diabetes and treatment of hyperglycemia and related metabolic abnormalities is of vital importance. Diagnosis of diabetes via proper interpretation of the diabetes data is an important classification problem. Classification systems help the clinicians to predict the risk factors that cause the diabetes or predict people who are at risk of developing diabetes. Materials and Methods: In this study, Pima Indian diabetes dataset taken from the UCI machine learning repository was used which contains 786 samples of normal and diabetes with 8characteristics.Selection of efficient features of this dataset was analyzed using correlation criterion, information gain and CfsSubsetEval. Then diagnosis of diabetes diseases on Pima dataset was considered using proposed by-level dimensionality reduction method and classification algorithms. Classification algorithms used in this study are KNN, quadratic, Naïve Bayes, nearest mean classifier, non-parametric Gaussian and Mahalonobis kernel and linear discriminant. Results: In all feature selection methods, plasma glucose concentration a 2-hours in an oral glucose tolerance test, body mass index and age have been selected as the top-ranked features in intelligent diagnosis of diabetes. Proposed method has achieved the accuracy of 82.09 using KNN and quadratic methods and bi-level dimensionality reduction on Pima dataset. The best performance has been achieved by performing PCA algorithm on the features, namely, number of pregnancy, plasma glucose concentration a 2 hours in an oral glucose tolerance test, body mass index, diabetes pedigree function and Age. Conclusion: The results of this study showed that bi-level dimensionality reduction and classification algorithm scan be very helpful in assisting the physicians to diagnosis diabetes.
CORRELATION BETWEEN GLYCEMIC CONTROL AND LIPID PROFILE IN TYPE 2 DIABETIC PATIENTS: HbA1c AS AN INDIRECT INDICATOR OF DYSLIPIDEMIA

Objectives: Dyslipidemia is one of the major risk factor for cardiovascular disease in Type 2 Diabetes mellitus, characterized by elevated Total cholesterol (TC), Triglycerides (TG), Low density lipoprotein (LDL) and decreased High density lipoprotein (HDL). Hemoglobin A1c (HbA1c) is widely used as an index of mean glycaemia, a measure of risk for the development of diabetes complications and a measure of the quality of diabetes care. The aim of this study was to determine the impact of glycemic control on lipid profile and to know utility of HbA1c as an indirect indicator of dyslipidemia. Methods: A total of 490 Type 2 Diabetes mellitus patients (males 258, females 232) mean age 53.17 years standard deviation (S.D) 10.50 were included in this study. Results: The age of type 2 diabetic patients were not significantly correlated with fasting blood glucose and HbA1c. The level of HbA1c was highly direct significant correlation with fasting blood glucose. The Age of Type 2 Diabetic patients were highly significant and inversely correlated with Total cholesterol, Triglycerides, Low-density Lipoprotein, where it was not significantly correlated with High-density Lipoprotein. The level of HbA1c was highly direct significant correlation with TC, TG, LDL, where it was not correlated with HDL. Conclusion: The findings of this study clearly showed that HbA1c is not only a reliable glycemic index but also as an indirect indicator of dyslipidemia. Keywords: Type 2 diabetes mellitus, HbA1c, Lipid profile, Dyslipidemia.
ACAUSALITY AND THE MACHIAN MIND

In this paper we propose a mechanism in the brain for supporting consciousness. We leave open the question of the origin of consciousness itself, although an acausal origin is suggested since it should mesh with the proposed quasi-acausal network dynamics. In particular, we propose simply that fixed-point attractors, such as exemplified by the simple deterministic Hopfield network, correspond to conscious moments. In a sort of dual to Tononi's Integrated Information Theory, we suggest that the "main experience" corresponds to a dominant fixed point that incorporates sub-networks that span the brain and maximizes "relatedness. " The dynamics around the dominant fixed point correspond in some parts of the system to associative memory dynamics, and to more binding constraint satisfaction dynamics in other areas. Since the memories that we are familiar with appear to have a conscious origin, it makes sense that a conscious moment itself corresponds in effect to what amounts to memory recollection. Furthermore, since Hopfield-like networks are generative, a conscious moment can in effect be seen as a living, partially predicted memory. Another primary motivation for this approach is that alternative states can be naturally sensed, or contrasted, at the fixed points. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:. 0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:. 0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}
Research on stock similarity and community division based on user attention sequence

We conduct research from the perspective of user groups and analyze the differences in the users' attention and posting order in different time periods to vectorize stocks and build relationships from the generated vectors. This provides a new perspective for the complex network construction and community division of network public opinion space. The experiment result show that we can get the community division consistent with reality using our model.
Model-based Automatic Segmentation of Ascending Aorta from Multimodality Medical Data

Automatic Ascending Aorta Segmentation is one of the important steps towards automatic segmentation of the whole cardiac tree. This paper presents a novel approach for the automatic segmentation of the ascending aorta from two imaging modalities: CTA (Computed Tomography Angiography) and PC-MRI (Phase-Contrast Magnetic Resonance Images). The novel approach is an algorithm that works without the need for setting manual seed points or applying preprocessing steps or setting a region of interest. Instead, the proposed algorithm automatically detects and segments the ascending aorta using an ascending aorta model built from its anatomical features. The proposed segmentation algorithm begins with aorta detection through features model fitting augmented with Hough transform, where the ascending aorta is identified from the descending aorta and any other circular structures based on the proposed model. After detection, the whole ascending aorta is segmented up from the aortic arch down to the ostia points using a novel automatic seeded region growing algorithm. The proposed algorithm is fully automatic, works in real-time and robust as parameters used are the same for all the tested datasets. The detection and segmentation of the ascending aorta succeeded in all test cases acquired from the two imaging modalities; proving the robustness of the proposed ascending aorta model and algorithm for the automatic segmentation process even on data from different modalities and different scanner types. The accuracy of the segmentation has a mean Dice Similarity Coefficient (DSC) of 94.72% for CTA datasets and 97.13% for PC-MRI datasets.
Phytochemical Study, Antimicrobial and Anticancerous Activity of Cassia tora Linn

The knowledge of using herbal flora in the ethnic communities is descended from one generation to another. Ethno medicinal plants are the area of research to find out alternative medicine of drugs to avoid emergence of multidrug resistance. Now a day, it is becoming a threat to people in most of clinical cases. A traditional Indian medical practice using plants is known as Ayurveda. Lots of plants used to cure different diseases using their natural healing and restoring properties are mentioned in the Ayurveda. People of different tribal communities inhabiting in India follow different cultures, rituals and knowledge of using traditional medicinal plants. Vast ranges of organic compounds present in the plants have been classified as primary and secondary metabolites. Primary metabolites of plants played essential roles in photosynthesis, respiration, growth and development. Phytosterols, acyl lipids, nucleotides, amino acids and organic acids are the major primary metabolites. Some other phytochemicals accumulated in the plant species are known as secondary metabolites. Some secondary metabolites are playing a major role in plant defence system as they provide protection against herbivores, microbial infection, pollinators and seed dispersing animals. Some secondary metabolites are used as dyes; fibres, glues, oils, waxes, drugs, perfumes as well as they are considered as sources of new natural drugs, antibiotics, insecticides and herbicides [1]. Cassia tora Linn. is an ayurvedic plant, belongs to the family Leguminaceae and sub-family Caesalpiniaceae [2]. So, the present research has been selected to study the pharmacological activities of the plant such as antimicrobial and anticancer activities.
Neurogenic neuroprotection: Future perspectives

IntroductionNeurogenic neuroprotection elicited by deep brain stimulation is emerging as a promising approach for treating patients with ischemic brain lesions. In rats, stimulation of the fastigial nucleus, but not dentate nucleus, has been shown to reduce the volume of focal infarction. Protection of neural tissue is a rapid intervention that has a relatively long-lasting effect, rendering fastigial nucleus stimulation (FNS) a potentially valuable method for clinical application.MethodsWe review some of the main findings of animal experimental research from a clinical perspective. Results: Although the complete mechanisms of neuroprotection induced by FNS remain unclear, important data has been presented in the last two decades. The acute effect of electrical stimulation of the fastigial nucleus is likely mediated by a prolonged opening of potassium channels, and the sustained effect appears to be linked to inhibition of the apoptotic cascade.ConclusionA better understanding of the cellular and molecular mechanisms underlying neurogenic neuroprotection by stimulation of deep brain nuclei, with special attention to the fastigial nucleus, can contribute toward improving neurological outcomes in ischemic brain insults.