Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Pediococcus Strains Isolated from Feces of Indonesian Infants With in vitro Capability to Consume Prebiotic Inulin and to Adhere on Mucus

The aim of this experiment was to identify isolates obtained from feces of Indonesian infants and to evaluate their capability as probiotics. Identification of isolates was carried out based on morphology, physiology and biochemical identifications, and molecular identification based on 16S rRNA sequence. Morphological and physiological identification was carried out based on Gram staining, shape, motility, spore formation and catalase production. Biochemical identifications based on production of CO2 and NH3 from glucose, the ability to grow on different temperature (10 and 45°C) and pH (4.4 and 9.6), and different salt concentration (6.5 and 18%). Probiotics capability of isolates was assayed on the ability to grow on low pH (pH 2.0), on different bile salts concentration (0.3; 0.5; 1.0 and 1.5%), the capacity to grow on media with inulin as the only carbon source, and in vitro adhesion ability on porcine mucin. Morphological, physiological and biochemical identification suggest that all of isolates belong to lactic acid bacteria. Further molecular identification of five isolates showed that isolates AA, BE and BK were strains of Pediococcus acidilactici (similarity 99%), while isolate AP and AG were strains of Lactobacillus casei (similarity 99-100%). Probiotic assays showed that more than 80% of cells of Pediococcus acidilactici isolates AA, BE and BK were viable after grown on pH 2.0 for 90 min, and around 80% of cells from the same isolates were survived on media supplemented with bile salt 1.5% for 2 h. All of isolates had high adhesion capacity as seen by more than 75% of cells attached on pig gastric mucin. Investigation of isolates to grow on inulin showed Pediococcus acidilactici isolate BE was able to consume inulin as the only carbon source. It is concluded that Pediococcus acidilactici isolate BE was a candidate probiotics and subject to further in vivo evaluation using animal models to examine their beneficial health effects. Key word : Pediococcus acidilactici, Lactobacillus casei, human origin and probiotics.
Centroid Terms and their Use in Natural Language Processing

The calculation of semantic similarities between text documents plays an important role in automatic text processing. For example, algorithms to topically cluster and classify texts heavily rely on this information. Standard methods for doing so are usually based on the bag-of-words model and thus return only rough estimations regarding the relatedness of texts. Moreover, they are unable to find generalising terms or abstractions describing the textual contents. Therefore, a new graph-based method to determine centroid terms as text representatives will be introduced. It is shown, that – among further application scenarios – this method is able to compute the similarity of texts even if they have no terms in common. In first experiments, its results and advantages will be discussed in detail.
The role of community leaders as 'Senior Managers' in place brand implementation

Brand management is now being applied to places to stimulate economic and social development. While the literature advocates the benefits, it suggests that the process of implementation is not understood. Referring to the corporate brand-place brand analogy and the important role of senior management in corporate branding, this paper examines the role of community leaders, as the senior management equivalent, in two cities which have implemented a place brand strategy. This paper provides an insight into the importance of community leaders as drivers of the place brand as well as the cultural change which may be required to ensure the desired outcome. Introduction to Place Branding The application of brand techniques to places has been described as a new field within the discipline of marketing with Anholt (2002 p. 232) identifying place branding as "marketing’s chance to create a lasting and significant future role beyond its traditional boundaries". An issue often misunderstood is that the name of a place is a brand; a brand being defined as a name, term, or symbol that identifies and differentiates (American Marketing Association, 2005). A place name complies with this definition as it identifies and differentiates one place from another. It is the meaning and communication of the place brand that can be managed. Importantly, as Gilmore (2002) claims, it is now a risk not to apply a brand strategy to a place name. She suggests that locations that do not seek to brand manage themselves run the risk of being positioned by competitors or other interest groups. The Development of Place Branding Place branding has been influenced by the practices of destination branding and corporate branding. Destination branding is related to marketing a place as a tourism destination and although some of the principles are the same, place branding takes a more holistic view (Kerr, 2006) and seeks to appeal to a broader range of markets such as new residents, investors, new businesses and corporate headquarters (Kotler, Haider and Rein, 1993; Lodge, 2002). In addition to the influence of destination branding, many of the studies into place branding have drawn from the literature on corporate branding. A number of authors (e.g. Olins, 1999; Anholt, 2002; Trueman, Klemm and Giroud, 2004; Kavaratzis, 2005) have recognised that there are similarities between the corporate brand and the place brand and that those researching the newer domain of place brands can learn from the more extensive literature and practice in corporate brands. The common features identified by Kavaratzis (2004) are that both have, multidisciplinary roots, address multiple groups of stakeholders, have a high level of intangibility and complexity, and have a need to take into account social responsibility and need to deal with multiple identities. Olins (2002) recognises that although branding businesses and nations do have a lot in common it is dangerous to take the analogy
Health State Valuation in Iran: An Exercise on Cardiovascular Diseases Using Visual Analogue Scale Method

Background: Disability Weights (DWs) are main components for computing summary measure of population health (SMPH) and economic studies. They are specific for each community, but there are no previous studies in Iran. In this study, we investigated the feasibility of health state valuation (HSV) in Iranian population. Methods: Twelve cardiologists in 3 sessions of expert panels, defined 25 states, related to cardiovascular diseases (3 major and 22 specific diseases). From January to March 2008, 80 persons in 4 groups including: physicians, patients, patients’ families and general publics (each group 20), were interviewed and valuated the states, using visual analogue scale (VAS) method. SPSS® 15 for window® (SPSS Corporation, Chicago, Illinois) was used for statistical analysis. Results: Data showed that the defined health states had various severities. All the 4 groups ranked the “3 major-diseases” and “very-mild” and “very-severe” states, similarly. Non-physicians were not able to differentiate among “valvular-diseases” and “pacemakers” properly. The reliability of responses was acceptable. Conclusion: VAS is an appropriate and reliable method for HSV in Iranian population. Non-physicians’ opinions can be consider in major cardiac diseases. Valuation of more specific situations must perform by physicians.
THE TIAN-TODOROV THEOREM OF CYCLIC A∞-ALGEBRAS

Let A be a finite-dimensional smooth unital cyclic A∞-algebra. Assume furthermore that A satisfies the Hodge-to-de-Rham degeneration property. In this short note, we prove the non-commutative analogue of the TianTodorov theorem: the deformation functor associated with the differential graded Lie algebra of Hochschild cochains of A is homotopy abelian. 1. The non-commutative Tian-Todorov Theorem Let X be a Calabi-Yau manifold, i.e. a compact complex manifold with trivial canonical bundle. It is a classical result of Tian-Todorov [10][11] that the formal deformation functor associated with the differential graded Lie algebra (DGLA)
Knodus shinahota (Characiformes: Characidae) a new species from the río Shinahota, río Chapare basin (Mamoré system), Bolivia

Knodus shinahota, new species, is described from rio Shinahota, a tributary of the upper rio Mamore basin, Provincia de Tiraque, Cochabamba State, Bolivia. The new species can be distinguished from all congeners except K. chapadae and K. geryi by having six rows of scales between the lateral line and the dorsal-fin origin (vs 4 or 5 rows of scales in the other species). Knodus shinahota differs from K. chapadae by possessing more rows of scales between the lateral line and the pelvic-fin origin (5 vs 3½ or 4, respectively) and more lateral line scales (38-41 vs 36-38, respectively). It differs from K. geryi by possessing more rows of scales between the lateral-line and the pelvic-fin origin (5 vs 4, respectively); fewer branched anal-fin rays (17-20 vs 15-17, respectively), and by lacking the two symmetric, large, dark, blotches on the basal portions of the caudal-fin lobes that characterize K. geryi.
Plasma Gasification in Environment Conservation: An Alternative Approachfor Waste Management

Solid Waste management (SWM) is an acute and complex problem in developing economies like India. Progressing states have inadequate budget for waste management, out of which major portion of which goes to collection and transportation rather than its treatment. Various techniques like land filling, incineration and composting have been used for waste management, but none of them fully assure the growing need of waste management in major cities. In this work we have compared various methods of waste management and suggested a better method of plasma gasification, in which pyrolysis of solid waste takes place at very high temperature thus ensuring syngases as the output of gasifier. The method not only treats all types of waste, but also produces many useful by-products and electricity.
ADAPTATION OF AGRICULTURAL PRODUCTION SYSTEMS TO CLIMATE VARIABILITY AND CLIMATE CHANGE: LESSONS LEARNED AND PROPOSED RESEARCH APPROACH

Societies, cultures and economies in the world's history have successfully developed by mastering their abilities to adapt to climatic conditions. However, the last decades have been characterized by a dramatic growth in human population that is imposing unprecedented pressures on natural ecosystems and on existing agricultural production systems. In addition to this pressure, societies are expected to face changes in climate at also unprecedented rate. Agricultural production systems will require effective adaptive strategies to overcome these expected pressures in the immediate future.
Better together: Integrating and fusing multispectral and radar satellite imagery to inform biodiversity monitoring, ecological research and conservation science

The availability and accessibility of multispectral and radar satellite remote sensing (SRS) imagery are at an unprecedented high. These data have both become standard source of information for investigating species ecology and ecosystems structure, composition and function at large scales. Since they capture complementary aspects of the Earth's surface, synergies between these two types of imagery have the potential to greatly expand research and monitoring opportunities. However, despite the benefits of combining multispectral and radar SRS data, data fusion techniques, including image fusion, are not commonly used in biodiversity monitoring, ecology and conservation. To help close this application gap, we provide for the first time an overview of the most common SRS data fusion techniques, discussing their benefits and drawbacks, and pull together case studies illustrating the added value for biodiversity research and monitoring. Integrating and fusing multispectral and radar images can significantly improve our ability to assess the distribution as well as the horizontal and vertical structure of ecosystems. Additionally, SRS data fusion has the potential to increase opportunities for mapping species distribution and community composition, as well as for monitoring threats to biodiversity. Uptake of these techniques will benefit from more effective collaboration between remote sensing and biodiversity experts, making the reporting of methodologies more transparent, expanding SRS image processing capacity and promoting widespread open access to satellite imagery. In the context of a global biodiversity crisis, being able to track subtle changes in the biosphere across adequate spatial and temporal extents and resolutions is crucial. By making key parameter estimates derived from SRS data more accurate, SRS data fusion promises to become a powerful tool to help address current monitoring needs, and could support the development of essential biodiversity variables.
FORMING CHONDRULES IN IMPACT SPLASHES. I. RADIATIVE COOLING MODEL

The formation of chondrules is one of the oldest unsolved mysteries in meteoritics and planet formation. Recently an old idea has been revived: the idea that chondrules form as a result of collisions between planetesimals in which the ejected molten material forms small droplets that solidify to become chondrules. Pre-melting of the planetesimals by radioactive decay of 26Al would help produce sprays of melt even at relatively low impact velocity. In this paper we study the radiative cooling of a ballistically expanding spherical cloud of chondrule droplets ejected from the impact site. We present results from numerical radiative transfer models as well as analytic approximate solutions. We find that the temperature after the start of the expansion of the cloud remains constant for a time tcool and then drops with time t approximately as T ≃ T0[(3/5)t/tcool + 2/5]−5/3 for t > tcool. The time at which this temperature drop starts tcool depends via an analytical formula on the mass of the cloud, the expansion velocity, and the size of the chondrule. During the early isothermal expansion phase the density is still so high that we expect the vapor of volatile elements to saturate so that no large volatile losses are expected.
Validity indices of the Rorschach test and Personality Assessment Inventory: a comparison in pathological and healthy subjects.

The debate about the validity of the Rorschach test, compared with psychometric inventories, is particularly relevant in the forensic evaluation. The aim of the study is to present an overview on the control indices proposed in Rorschach (e.g. R, F%, Lambda Index) and in a personality inventory ( Personality Assessment Inventory : e.g., openness, desirability, inconsistency, infrequency, negative and positive impression, malingering and defensiveness, treatment rejection) and to cross-correlate these indices. The sample consisted of 50 adult inpatients with diagnosis of severe depression or psychosis, and a control group of healthy subjects, matched by gender, age and educational level. The results show that the analytic style, as opposed to the global one, is related to greater openness to psychological assessment, less social desirability and defensive tendency. The Rorschach Lambda index demonstrates good validity in detecting tendency to defensiveness, social desirability and dissimulation, both in normal and pathological protocols.
The Mississippian in the Central and Eastern Taurides (Turkey): constraints on the tectonic setting of the Tauride- Anatolide Platform

Data from the Mississippian tectono-stratigraphic units in the Tauride-Anatolide Platform, Central and Eastern Taurides, reveal that this region underwent incipient back-arc extension during the Variscan orogeny, but that rifting failed, leaving a basin floored with highly extended continental crust. The stratigraphy of several tectono-stratigraphic units, the Geyik Daûô, Aladaû, and Bolkar Daûô Units were studied in detail in the Sultan Daûô and Hadim areas in the Central and Eastern Taurides. In the Sultan Daû area, the Geyik Daûô Unit contains shelf-type (shallow) marine clastics and carbonates of the Middle-Upper Mississippian Gökdere Member of the Harlak Formation, overlain by shales and basic volcanic/ volcaniclastic rocks of the Kuz Member of the formation. The Mississippian age rocks in the Aladaû Unit around Hadim are characterized by quartzarenites and carbonates of coastal to shallow shelf environment. The Bolkar Daûô Unit in the Hadim area includes inner shelf-type recrystallized limestones, dolomites and oolitic limestones. To the north of Konya, however, Middle Mississippian formations of the Bolkar Daûô Unit include metamorphosed olistostromal deposits with Silurian— Upper Devonian olistoliths, which were generated in an extensional basin with back-arc type bimodal volcanism. In the Cataloturan Nappe of the Bolkar Daûô Unit, in the Eastern Taurides, the Mississippian is represented by a basin/slope-toetype succession with an alternation of lithic tuffs, radiolarian cherts and pelagic limestones. It grades into Upper Mississippian shallow-marine carbonates. The data presented suggest the presence of a north-facing system with slope (Cataloturan) aborted rift basin (Konya-Bolkar Daûô) inner shelf (Hadim-Bolkar Daûô) coastal shelf (Hadim-Aladaû) and shallow-shelf (Sultan Daûô-Geyik Daûô) along the northern margin of the Tauride-Anatolide Platform during the Mississippian.
CIENCE AND R ESEARCHES CLASSIFICATION TECHNIQUES IN DATA MINING : AN OVERVIEW

CLASSIFICATION TECHNIQUES IN DATA MINING: AN OVERVIEW Mrs.Sagunthaladevi. S*1 and Dr.Bhupathi Raju Venkata Rama Raju2 *1Research Scholar, Dept of Computer Science, Mahatma Gandhi University, Meghalaya-793101, Tamilnadu, India. 2Professor, Dept of Computer Science, IEFT College of Engineering, Villupuram-605108, Tamilnadu, India. ABSTRACT Classification is a widely used technique in the data mining domain, where scalability and efficiency are the immediate problems in classification algorithms for large databases. Classification is a supervised learning technique in data mining where training data is given to classifier that builds with classification rules. Later if test data is given to classifier, it will predict the values for unknown attributes. Classification consists of predicting a certain outcome based on a given input. In order to predict the outcome, the algorithm processes a training set containing a set of attributes and the respective outcome usually called prediction attribute. The algorithm tries to discover relationships between the attributes that would make it possible to predict the outcome. In order to predict the things correctly, attribute construction is needful for solving the problems. Hence, the motivation of this study is to propose a new attribute generation approach to extend a small data set into a purpose oriented and a higher dimension feature space to enhance the classification accuracy. This paper reviews all the data mining techniques especially classification domain for attribute construction.
Simulating the interstellar medium of galaxies with radiative transfer, non-equilibrium thermochemistry, and dust

We present a novel framework to self-consistently model the effects of radiation fields, dust physics, and molecular chemistry (H2) in the interstellar medium (ISM) of galaxies. The model combines a state-of-the-art radiation hydrodynamics module with a H and He non-equilibrium thermochemistry module that accounts for H2 coupled to an empirical dust formation and destruction model, all integrated into the new stellar feedback framework SMUGGLE. We test this model on high-resolution isolated Milky-Way (MW) simulations. We show that the effect of radiation feedback on galactic star formation rates is quite modest in low gas surface density galaxies like the MW. The multiphase structure of the ISM, however, is highly dependent on the strength of the interstellar radiation field. We are also able to predict the distribution of H2, that allow us to match the molecular Kennicutt–Schmidt (KS) relation, without calibrating for it. We show that the dust distribution is a complex function of density, temperature, and ionization state of the gas. Our model is also able to match the observed dust temperature distribution in the ISM. Our state-of-the-art model is well-suited for performing next-generation cosmological galaxy formation simulations, which will be able to predict a wide range of resolved (∼10 pc) properties of galaxies.
Clinical and Medico-legal Aspects of Maxillofacial and Neck Injuries Complicated by Infection

One of the most frequent and predictable types of complications in traumas of the maxillofacial area and neck is that of infection, which renders the progression of the trauma more acute. It is infection, when it occurs, that affects the clinical picture and determines the final outcome of the trauma. Inadequate medical methods exacerbate the severity of the progression of the trauma and, consequently, complicate forensic medical assessment of the injury. Nowadays there is no clear definition of acute inflammatory process severity in terms of prevalence and characteristics of its clinical course in maxillofacial area and neck injuries. The aim of our study is to improve criteria for assessing the severity of harm to human health in patients with injuries of the maxillofacial area and neck. We carried out a retrospective analysis of medical records of the inpatients treated from 2008 to 2019 in the department of Oral and Maxillofacial Surgery of St. Petersburg City Hospital No. 15, Russia. All patients had the injuries in the maxillofacial area and neck varying in severity and complicated by infectious processes, differing in their prevalence in the cellular spaces of the maxillofacial area and neck. In all these cases surgery was attempted, but it was not always adequate and timely, which made it more difficult for medical forensics experts to assess the severity of harm to human health resulting from the injury. The results of the study confirm the need to implement the modernized criteria for assessing the severity of harm caused to human health in case of injuries in the maxillofacial area and neck complicated by infectious processes. Their implementation will help bridge the gap between practical needs and the capabilities of forensic medical examination
A semi‐parametric approach to model‐based sensitivity analysis in observational studies

When drawing causal inference from observational data, there is almost always concern about unmeasured confounding. One way to tackle this is to conduct a sensitivity analysis. One widely used sensitivity analysis framework hypothesises the existence of a scalar unmeasured confounder U and asks how the causal conclusion would change were U measured and included in the primary analysis. Work along this line often makes various parametric assumptions on U, for the sake of mathematical and computational convenience. In this article, we further this line of research by developing a valid sensitivity analysis that leaves the distribution of U unrestricted. Compared to many existing methods in the literature, our method allows for a larger and more flexible family of models, mitigates observable implications, and works seamlessly with any primary analysis that models the outcome regression parametrically. We construct both pointwise confidence intervals and confidence bands that are uniformly valid over a given sensitivity parameter space, thus formally accounting for unknown sensitivity parameters. We apply our proposed method on an influential yet controversial study of the causal relationship between war experiences and political activeness using observational data from Uganda.