Miracle-dz/UniFAR-FTUs huggingface dataset:
RUSSIAN ACADEMY OF SCIENCE INSTITUTE FOR THE HISTORY OF MATERIAL CULTURE THE STATE HERMITAGE MUSEUM SAMARA STATE ACADEMY OF SOCIAL SCIENCES AND HUMANITIES PETER THE GREAT MUSEUM OF ANTHROPOLOGY AND ETHNOGRAPHY

There aren’t enough sources to apply for illumination of the most part of Middle Paleolithic studies problems of the considered region now. Still there are no specifications, such as sources, chrono logy, development, specifics, cultural geography, historical destinies of culture. The main of this work is consideration of a current state of sources, and clearing of in what degree they can serve for illumination of the specified problems. There is a circle of questions on which it is still difficult to make the reasonable conclusions. But exist also such concerning which it is possible to speak specifically and quite definitely. For example, the ОБЗОР ИССЛЕДОВАНИЙИ СОСТОЯНИЕ ИЗУЧЕННОСТИ СРЕДНЕГО ПАЛЕОЛИТА НА СЕВЕРО-ВОСТОЧНОМ КАВКАЗЕ 62 conclusion that during the considered time the cultural complex of Eastern Micoquien didn’t extend on the territory of Dagestan will be indisputable. From the point of view of the most ancient regional history it means that, at least, throughout considerable part of the Middle Paleolithic cultural development in the Northeast and Northwest Caucasus went various ways and experienced (if came) influence of the cultural impulses having absolutely diffe rent sources and the directions of influence. The northeast Caucasus wasn’t included into the extensive territory of the Central and Eastern Europe, including the Crimea and the Northwest Caucasus on which there was a certain cultural leveling which is brightly painted by color of Eastern Micoquien. If to speak about final stages of the Middle Paleolithic, besides Eastern Micoquien dominating there in the Northwest Caucasus there is also other cultural complex called «Mustierian of Khostinsky type» (layers 3B and 4A of Matuzka cave). It is one of actually Caucasian Middle Paleolithic culture presented in the most typical form in the west of Transcaucasia. In the technological relation this industry finds broad analogies in materials of the final Caucasian Middle Paleolithic sites.
Paraconiothyrium babiogorense sp. nov., a new endophyte from fir club moss Huperzia selago (Huperziaceae)

Paraconiothyrium is a recently established genus within the order Pleosporales. Species from this genus are commonly associated with plants but can also be found in soil samples and be parasitic on fungi. Several isolates of a Paraconiothyrium sp. were obtained from Huperzia selago in Poland. Strains were characterized based on morphological characteristics and molecular data (SSU rDNA, ITS1, 5.8S rDNA, ITS2). Based on its unique morphology and DNA phylogeny, isolates were described as a new species: Paraconiothyrium babiogorense, which represents the first report of a Paraconiothyrium species from fir club moss. Comparison of characters with other Paraconiothyrium species is provided as well as a signature sequence for the new species.
Computing the proximal operator of the $\ell_1$ induced matrix norm

In this short article, for any matrix $X\in\mathbb{R}^{n\times m}$ the proximity operator of two induced norms $ \|X\|_1 $ and $ \|X\|_{\infty}$ are derived. Although no close form expression is obtained, an algorithmic procedure is described which costs roughly $\mathcal{O}(nm\log_2(n))$. This algorithm relies on a bisection on a real parameter derived from the Karush-Kuhn-Tucker conditions, following the proof idea of the proximal operator of the $ \max $ function found in Parikh(2014).
Shape derivative of sharp functionals governed by Navier-Stokes flow

The shape analysis of the Navier-Stokes equation has been already considered in the literature. Classical techniques, such as the Implicit Function Theorem, may be used to show that some functionals, the drag for example, are shape differentiable. However, this property relies on results established for the basic regularity of the pressure and the velocity fields. Many other criterions of physical interest are out of this scope: we consider here the shape analysis of such functionals, for example, the (total) force exerted by the fluid on a body or the moment of these forces. The velocity and pressure fields u and p are assumed to be solutions of the stationary incompressible Navier-Stokes equation −ν∆u + [Du]u +∇p = f in Ω with the boundary condition u|Γ = 0, Γ = ∂Ω. These new results are based on the so-called speed method which allows us to “bring back” vector fields from a perturbed domain to the initial one while preserving the divergence-free property. Regularity results are established for that correspondence and used to define and show some properties of the shape derivative u and of the boundary shape derivative u Γ . AMS subject classification: 35Q30, 49J20.
Intelligent Income prediction model

The registration Bureau of a country conducts study producing a gigantic dataset with a huge number of information focuses. The rich dataset contains itemized data about an individual's way of life including different information like his/her instruction foundation, work foundation, age, conjugal status and so on. These highlights change scarcely in an individual's life. The most every now and again changing element in an individual's life is his/her salary. Consistently individuals change occupations and get advancements which change the figures of their salary. This paper intends to foresee whether the pay of a person surpasses $50000/yr or not founded on statistics information gave by Census authority database, while considering different factors such as age, work class, gender, marital status, education, race, occupation etc. using exploratory analysis and classification algorithms. This investigation intends to utilize machine learning procedures in giving a response for the salary forecast. This model measures the accuracy of different machine learning models like Random forest classifier, Naïve Bayes classifier and Support vector classifier. The conclusions drawn might help in delivering wiser decisions. The result can be used for social purpose, commercial purpose and economic study of a region for level of economic inequality.
Ju n 20 09 Central Charges in 2 d Reduced Cosmological Massive Gravity

In the dimensionally reduced model of the 2+1 dimensional cosmological massive gravity, we obtain the central charges of the two types of the black hole based on the entropy function method. One is for the BTZ black hole and the other one is actually for the warped AdS3 black hole. PACS numbers: 04.60. Kz
The gill parasite Haemobaphes cyclopterina (Copepoda: Lernaeoceridae) in the Barents sea

Abstract A collection of specimens taken from the polar cod, Boreogadus saida Lepeghin, in the Barents Sea is described. Particular attention is paid to the anterior part of the animal and comparison with previous published descriptions suggests a high degree of plasticity. Notes on external anatomy and adult development are given. A single case of double infection is reported. A single specimen from Mallotus villosus (Muller) is reported on. This specimen had most of the body outside the gill cavity. Notes on distribution in Norwegian waters and particularly in the Barents Sea are given.
Influence of storage methods on ripening and microbial load of some Musa species

The effect of two storage methods (jute bag and open shelve) on ripening and microbial load of fruits of three cultivars of Musa (PITA 26, cooking banana and ‘agbagba’ plantain) at different stages of ripening were investigated. There was a significant difference in the fruit ripening rate of the three Musa cultivars kept under the two storage methods. The fruits stored in jute bags ripened within a shorter period of time (8 days for PITA 26 and ‘agbagba’ plantain; 11 days for cooking banana) compared with those put on open shelf in the laboratory (10 days for PITA 26 and ‘agbagba’ plantain; 14 days for cooking banana). There was a continuous increase in microbial (bacterial and fungal) count of fruits as ripening process progressed. The identified isolates were Bacillus spp. , Staphylococcus aureus, Lactobacillus species, Aspergillus flavus, Aspergillus niger, Fusarium, Saccharomyces and Penicillium species.
N ov 2 01 7 Critical behavior of the 2 D Ising model modulated by the Octonacci sequence

We investigated the Ising model on a square lattice with ferro and antiferromagnetic interactions modulated by the quasiperiodic Octonacci sequence in both directions of the lattice. We have applied the Replica Exchange Monte Carlo (Parallel Tempering) technique to calculate the thermodynamic quantities of the system. We obtained the order parameter, the associated magnetic susceptibility (χ) and the specific heat (c) in order to characterize the universality class of the phase transition. Also, we use the finite size scaling method to obtain the critical temperature of the system and the critical exponents β, γ and ν. In the low temperature limit we have obtained a continuous transition with critical temperature around Tc ≈ 1.413. The system obeys the Ising universality class with logarithmic corrections. We found estimatives for the correction exponents β̂, γ̂ and λ̂ by using the finite size scaling technique. PACS numbers: 05.50. +q,64.60. F-,75.50. Kj Submitted to: Journal of Statistical Mechanics: Theory and Experiment (JSTAT) Critical behavior of the 2D Ising model modulated by the Octonacci sequence 2
Data Coverage vs. Data Size: A comparison of two large-scale corpora in Collocation Suggestion for Japanese Second Language Learners

Natural language research ranging from automatic part-of-speech (POS) tagging to statistical machine translation (SMT), and the development of NLP applications such as grammatical error correction, utilize large amount of text. The assumption is that, a large-scale text can provide broader knowledge of the language that is useful in designing language models. Results from various researches show that by increasing the size of the data the performance scores also increase. Increasing the size of the training data in a spelling correction research improved the accuracy [1]. [2] mentioned that the size of a corpus is important in a phrased-based SMT. However, the improvement in the system is more evident for correcting errors such as articles, prepositions, and adjective errors, while not much improvement is seen for correcting agreement and tenses. Very large corpora are still necessary to obtain extensive information of the language, i.e. grammar; however is it enough to extract more complex information, such as the case of collocations? In this paper, we would like to show that data coverage of the corpora, more than corpora size, contributes to a better performance score in automatic collocation suggestion for Japanese second language learners. For collocation error suggestion/correction, enough coverage is relevant since we are dealing with substitution of open class words (nouns, verbs, adjectives and adverbs). We run two large-scale corpora, a) Mainichi Shimbun [3], and b) Balanced Corpus of Contemporary Written Japanese (BCCWJ) [4] in computing the collocation scores. We try to show that the data coverage of BCCWJ gives better collocation suggestion compared to the larger sized Mainichi Shimbun.
Does Trade Liberalization Reduce Poverty in Mali? Evidence from ARDL Bounds Testing Approach

This paper investigates the impact of trade liberalization on poverty reduction in Mali over the period 1986-2018. Like Magombeyi and Odhiambo (2017), we will use three measures of poverty (namely per capita consumption, infant mortality rate and life expectancy) to capture its multidimensional aspects. Using the ARDL bounds testing approach, the findings indicate that there is a negative relationship between trade liberalization and three proxies of poverty reduction in the long-run. However, it significantly only decreased per capita consumption. Yet, in the short-run, trade liberalization has a positive and significant effect on per capita consumption and life expectancy. In contrast, it has a negative and significant impact on the infant mortality rate. From these findings, it can be said that in Mali, the effect of trade liberalization on poverty reduction is not sensitive to poverty proxies but depends on complementary policies. Factors such as financial deepening, education, consumer price index institutional quality, and infrastructure development seem to influence the relationship between trade liberalization, and poverty reduction.
An Analysis of the Global Climatology of Ice Cloud Effective Radius using PATMOS-x

Satellite observations of thunderstorms have been documented since the advent of the Geostationary Operational Environmental Satellites (GOES) in the 1970’s. Since the 1980’s, polar orbiting satellites have been providing high resolution imagery, twice each day data over the entire globe, beginning with the NOAA6 and 7 in 1981. The high resolution data has continued through the present time with the launch of the NASA EOS satellites in 1999 and 2002, as well as NOAA-18 in 2005. Through the use of each of these satellites, there have been several studies on both the near storm environment and storm-top characteristics of severe storms (e.g., Adler and Mack, 1986; Setvák and Doswell, 1991).
Local Deviation Coefficient based Outlier detection for Scattered Data

: Outlier detection technique is applied in variety of domains like intrusion detection, health care monitoring, human gait analysis, etc. There are 2 main types of outliers: Global and local. Global outliers are the extreme data values in a dataset whereas local outliers are the data points within a range but much less or higher than other dataset values. Lot of work has been do ne in the domain of outlier detection. LOF, LOF with incremental approach, Memory efficient LOF with streaming data are well known outlier detection techniques. Existing approaches focuses on finding of the degree of deviation of local outlier point s from the clustered data and failed to find degree of dispersion. The proposed system focuses on finding local outliers on scattered data. For outlier detection, degree of deviation and degre e of dispersion is calculated. To make the system memory efficient, the dimensionality reduction and undersampling is applied. For dimension reduction principal component analysis is applied. A rough clustering based on multi-level queries algorithm is applied for safe non-outliers points’ elimination. This is undersampling method. This reduces the number of points for further processing. A density-based local outlier detection for scattered data (E2DLOS) algorithm is applied on non-safe points and top m outlier are identified. The system will be tested on various datasets downloaded from UCI repository.
Production of Reduced Calorie Mixed Fruit Based Functional Marmalade with Addition of Green Tea and Pomegranate Juice

In this study, it was aimed to produce a reduced calorie mixed fruit (22% pear, 16% apple, 16% quince, 12% kiwi, 12% strawberry, 8% carrot, 8% black carrot, 4% blueberry and 2% orange peel) based marmalade as a new functional product, which can form a basis for future studies on this subject. To increase the functionality of the products developed, pomegranate juice and green tea infusion were used instead of water. In order to reduce the calories of the products, the amount of sugar was reduced by the optimization of each fruit ratio in the formulation in a way to give to the consumer a sense of sweetness (low sugar form). In addition, two different forms were developed by using honey and commercial stevia sugar instead of table sugar in the formulation. Some physicochemical properties, total antioxidant capacity, total phenolic content and sensory properties of the marmalades were B. Acoğlu, P. Yolcı Ömeroğlu Akademik Gıda 18(2) (2020) 143-155 144 determined. Marmalades sweetened with commercial stevia sugar had the highest total amount of phenolic substance (876.34 mg gallic acid equivalent/100 g (dry basis, DM), CUPRAC (602.45 mg Trolox® Equivalent (TE)/100 g DM), DPPH (88.65 mg TE/100 g DM), and FRAP (435.38 mg TE/100 g DM) values among other marmalades. According to extensive consumer test performed to determine the sensory acceptability of the marmalades, the overall acceptability of the “low sugar” form marmalade received 8.28 points on a scale from 9 (very liked) to 1 (not liked at all) from panelists. Since the other two forms obtained score above 7, they were evaluated as generally acceptable. The form containing low sugar, as a control sample, mineral content and some physicochemical changes during storage were also found. As a result of study, it was revealed that pomegranate juice and green tea infusion can be used in the production of marmalade, and different fruit combinations, and honey and commercial stevia sugar can be used in the development of breakfast products with reduced calorie.
Issues in Chhattisgarhi to Hindi Rule Based Machine Translation System

There is an increasing demand for machine translation systems for various regional languages of India. Chhattisgarhi being the language of the young Chhattisgarh state requires automatic languages translating system. This paper proposes rule based Chhattisgarhi to Hindi machine translation (MT) system that takes Chhattisgarhi as source language and Hindi as target language. It also discusses the issues to be considered for the translation. As there is not much structural difference between these two languages so formation of production rules, adding and changing of production rule is easier in Rule Based System since rule base exists for Hindi language.
Sensory and nutritional qualities of beef sausages prepared with sweet potato puree as extender

This study investigated the effects of three varieties of sweet potato purees, that is orange-fleshed sweet potato (OFP), purple-fleshed sweet potato (PFP) and white-fleshed sweet potato (WFP) on the sensory and nutritional qualities of beef sausages. A complete randomized design was used to assign the sweet potato purees to the meat. The sweet potato purees were added to 2kg meat at 0% (TO 0%), 10% (OFP1 10%, PFP1 10% and WFP1 10%), and 15% (OFP2 15%, PFP2 15% and WFP2 15%) inclusion levels. The British Standard Institute procedure was adopted for sensory analysis. The official methods of analysis of the Association of Official Analytical Chemists was used for nutritional analysis. There were no significant differences (P>0.05) in sensory attributes of beef sausages except tenderness which were generally improved in the sweet potato beef sausages on day 14. The pH of the sweet potato beef sausages varied significantly (P 0.05) in fat content of the beef sausages. Cooking loss ranged from 8.0 ± 4.0 to 25.0 ± 13.0 and differed significantly (P 0.05) on day 7, but increased with storage time. The iron (0.1949-0.3181 mg/kg), selenium (0.0305-0.1088 mg/kg) and zinc (0.0017-0.0670mg/kg) contents of the beef sausages differed significantly (P<0.05). The inclusion of sweet potato puree as an extender did not negatively affect the sensory and nutritional qualities of the beef sausages. Keywords: Beef sausages, meat, nutrient composition, sensory properties, sweet potato varieties
Optimization of Energy Efficiency and Environmental Comfort in Broiler House

The objective of the study was to develop a design methodology involving a mixed system for better use of natural lighting and ventilation, together with electrical heating and ventilation systems that are currently used in commercial aviaries. Two building models were analyzed, one open conventional, and the other developed specifically for this study, with a cross ventilation brise-soleil system that provided greater energy efficiency in aviaries. Subsequently, the two models were compared using Autodesk’s Revit software through the Green Building Studio, to analyze the energy consumption of buildings during the year. The results showed that the model of poultry developed for the study proved to be more efficient in relation to the model of open poultry. The proposed broiler house was 21.07% more efficient than the conventional open aviary.
CARACTERIZACIÓN GENÉTICA DE LA OVEJA CANARIA CON MICROSATÉLITES DE ADN GENETIC CHARACTERIZATION OF THE CANARIAN SHEEP WITH MICROSATELLITES

Se ha caracterizado geneticamente una poblacion de oveja Canaria, raza autoctona dedicada a la produccion de leche, con 28 microsatelites de ADN. Se han calculado frecuencias alelicas, heterocigosidad y Fis. Puede concluirse que se trata de una raza ovina con elevada diversidad genetica y que es geneticamente homogenea. Este estudio es basico para cualquier estrategia de gestion de la raza pues se conoce su situacion genetica. A partir de este punto puede abordarse el control de la genealogia con marcadores moleculares pues, con los resultados obtenidos, puede disenarse un panel de microsatelites (810) para control de paternidad. Tambien se pueden estudiar sus relaciones geneticas con otras poblaciones ovinas espanolas o extranjeras, o la asignacion de individuos a poblaciones o trazabilidad de productos derivados de esta raza.
Protein Kinase C-ε (PKC-ε): Its Unique Structure and Function

: Protein kinase C (PKC)-epsilon was first discovered among novel PKC isotypes by cDNA cloning, and characterized as a calcium-independent but phorbol ester/diacylglycerol-sensitive serine/threonine kinase. PKC-epsilon is targeted to a specific cellular compartment in a manner dependent on second messengers and on specific adapter proteins in response to extracellular signals that activate G-protein-coupled receptors, tyrosine kinase receptors, or tyrosine kinase-coupled receptors. PKC-epsilon then regulates various physiological functions including the activation of nervous, endocrine, exocrine, inflammatory, and immune systems. The controlled activation of PKC-epsilon plays a protective role in the development of cardiac ischemia and Alzheimer's disease, whereas its uncontrolled chronic activation results in severe diseases such as malignant tumors and diabetes. This review summarizes recent progress in our understanding of the unique structure and physiological and pathological roles of PKC-epsilon with a focus mainly on knockout, transgenic, and mutational studies.
The productivity of marine nematodes

Abstract The productivity of marine nematodes was studied from laboratory experiments investigating the relationship between minimum generation time and temperature, the daily birth rate as calculated from life-tables taking fecundity and survivorship into account and the temperature regime in the field. The life cycle of Monhystera disjuncta is described. Females produce about 200 eggs in agnotobiotic conditions over about 70 days: this represents 17 times their own body weight. The mean generation time is 20 days at 12 °C and this species can produce 23 generations in the field each year. The maximum annual P/B is equal to 69. The annual P/B calculated from the birth rate is 60. From similar studies on five other nematode species it is concluded that the life-cycle turnover is equal to three but the number of generations annually produced in the field varies from one to twenty. Annual P/B for the species studied and from literature data on other species lies between 4 and 69. The use of a single P/B val.