Miracle-dz/UniFAR-FTUs huggingface dataset:
RACK1 and Stratifin Target ΔNp63α for a Proteasome Degradation in Head and Neck Squamous Cell Carcinoma Cells upon DNA Damage

P53 family members with a transactivation domain induce cell cycle arrest and promoteapoptosis. However, ΔNp63 isotypes lacking the transactivation (TA)- domain promote cellproliferation and tumorigenesis in vitro and in vivo. Although p53, TAp63 or TAp73 are stabilizedupon DNA damage, we found that the genotoxic stress agents induced a dramatic decrease andphosphorylation of ΔNp63α in squamous cell carcinoma cells. Further work revealed that RACK1physically associated with the p63α C-terminal domain through its WD40 domain. However,stratifin binds with phosphorylated ΔNp63α in response to cisplatin. Upon DNA damage inducedby cisplatin, stratifin mediated a nuclear export of ΔNp63α into cytoplasm and then RACK1targeted latter into a proteasome degradation pathway possibly serving as an E3 ubiquitin ligase.Moreover, siRNA knockdown of both stratifin and RACK1 inhibited a nuclear export and proteindegradation of ΔNp63α, respectively. Our data suggest that modification and down regulation ofΔNp63α is one of the major determinants of the cellular response to DNA damage in human headand neck cancers.
Continuous Time Analysis of Dynamic Matching in Heterogeneous Networks

This paper addresses the problem of dynamic matching in heterogeneous networks, where agents are subject to compatibility restrictions and stochastic arrival and departure times. In particular, we consider networks with one type of easy-to-match agents and multiple types of hard-to-match agents, each subject to its own set of compatibility constraints. Such a setting arises in many real-world applications, including kidney exchange programs and carpooling platforms, where some participants may have more stringent compatibility requirements than others. We introduce a novel approach to modeling dynamic matching by establishing ordinary differential equation (ODE) models, offering a new perspective for evaluating various matching algorithms. We study two algorithms, the Greedy Algorithm and the Patient Algorithm, which prioritize the matching of compatible hard-to-match agents over easy-to-match agents in heterogeneous networks. Our results show the tradeoff between the conflicting goals of matching agents quickly and optimally, offering insights into the design of real-world dynamic matching systems. We present simulations and a realworld case study using data from the Organ Procurement and Transplantation Network to validate theoretical predictions.
YIELD, QUALITY AND COMPETITION PROPERTIES OF GRASS PEA AND WHEAT GROWN AS PURE AND BINARY MIXTURE IN DIFFERENT PLANT DENSITIES

Mixtures of annual forage legumes with winter cereals for forage are practiced traditionally in the Mediterranean conditions. The objectives of this study were to compare grass pea and wheat pure stands as well as their mixtures in different plant densities under two seeding ratios for forage yield and quality and to estimate the effect of competition between the two species used in the intercropping systems. The experimental design was split plot in a randomized complete block with three replications. The main plot treatments were plant densities (350, 500 and 650 plant m-2) and sub-plots treatments were four sowing norm (pure grass pea (GP), 60% GP+ 40% W, 70% GP+ 30% W and pure wheat (W)). The results of the present study showed that plant densities do not have a significant effect on forage yield and quality, while the effect of mixture and pure stands on forage yield and quality were significant. According to the two-year average results, 60% GP + 40% W mixture gave the best results in terms of yield and quality. Calculated LER values showed that wheat+grass pea mixtures were more advantageous than pure stand of both species. As result of this research, 350 plant m-2 plant density and 60% GP + 40% W mixture can be recommended.
Gut flora and inflammatory bowel disease

The pathogenesis of inflammatory bowel disease involves interactions between the host susceptibility, mucosal immunity and intestinal microflora. There is therefore great interest in the changes in the endogenous flora in inflammatory bowel disease patients and in the establishment of potential genetic variations in host responses to endogenous bacteria. In this review, we summarize the modifications in the various regional ecosystems in the gastrointestinal tract during inflammatory bowel disease (luminal bacteria in faeces or inside the gastrointestinal tract, bacteria in mucus and bacteria directly attached to the mucosa). Results were obtained following a ‘candidate microorganism strategy’ and, as is occurring increasingly frequently, following a ‘full description strategy’, which has progressed largely due to the development of culture‐independent techniques. The possibility of modifying the ecosystem using prebiotics or probiotics offers hope for new treatment developments, particularly in the prevention of relapse.
A Study on the Influence of Entrepreneurial Competence Characteristics on the Sustainability of Entrepreneurs -Focused on the Mediating Effects of Entrepreneurial Mentoring

Background/Objectives: Many studies have shown that the ability of a startup to have a significant impact on the sustainability of the startup, but no studies have been conducted on whether the ability of the startup to influence startup sustainability using startup mentoring. Therefore, this study investigated whether the founder's competency characteristics influence sustainability through the medium of start-up mentoring. Methods/Statistical analysis : The study subjects were early founders, and the survey was conducted as a survey method. The survey items consisted of 62 questions including 12 demographics. The Likert 5-point scale was used for the measurement. For the empirical analysis, frequency analysis, descriptive statistical analysis, exploratory factor analysis, reliability analysis, correlation analysis, regression analysis, and mediation effect analysis were performed using SPSS Ver. 22 statistical package. Findings: The results of the study confirm that entrepreneurial competence characteristics are partially mediated by the characteristics of the technical capability and the strategic thinking capability on the impact of sustainability, and through the research, the organizational capability of entrepreneurial competence characteristics are completely mediated on the impact on the sustainability. Improvements/Applications: In order to secure the sustainability of start-ups, mentors should conduct mentoring by understanding the entrepreneurial competence characteristics. Mentoring that does not fit the entrepreneurial competence characteristics only forces the founder to regenerate time and effort. Mentors should participate in entrepreneurial mentoring with a sense of mission for the national economy and job creation, and government support policies should be tailored to the characteristics of entrepreneurs.
Parasites, Bright Males, and the Immunocompetence Handicap

It has been argued that females should be able to choose parasite-resistant mates on the basis of the quality of male secondary sexual characters and that such signals must be costly handicaps in order to evolve. To a large extent, handicap hypotheses have relied on energetic explanations for these costs. Here, we have presented a phenomenological model, operating on an intraspecific level, which views the cost of secondary sexual development from an endocrinological perspective. The primary androgenic hormone, testosterone, has a dualistic effect; it stimulates development of characteristics used in sexual selection while reducing immunocompetence. This "double-edged sword" creates a physiological trade-off that influences and is influenced by parasite burden. We propose a negative-feedback loop between signal intensity and parasite burden by suggesting that testosterone-dependent signal intensity is a plastic response. This response is modified in accordance with the competing demands of the potential costs of parasite infection versus that of increased reproductive success afforded by exaggerated signals. We clarify how this trade-off is intimately involved in the evolution of secondary sexual characteristics and how it may explain some of the equivocal empirical results that have surfaced in attempts to quantify parasite's effect on sexual selection.
THE PRAGMATICS OF CHAOS: PARSING BOLSONARO’S UNDEMOCRATIC LANGUAGE

ABSTRACT This paper unpacks different layers of Jair Bolsonaro’s pragmatics of chaos - the name I give to a reflexive, ordered and laminated method of producing a permanent sentiment of agitation, murk, and discontent in political audiences while a conservative and free market agenda is radicalized in Brazil. The communicative layers are: history, exemplified by Bolsonaro’s early career in the military: from his union-like activity, to his imprisonment and to evidences of a terrorist plot; persona, indexed by the jocular, non-serious performances that made him famous as a federal representative and that have been mediatized in his executive action as president; text and talk, characterized by a general texture of incendiary framing, smoke screens, backtracking, and avoidance of debate; audiences, seen from the perspective of the digital, pedagogic and performative populism that accrued from his campaign, almost entirely designed for being engendered on the non-public space of WhatsApp groups and in public, algorithmic social media platforms.
A kinematic calibration of the O-rich Mira variable period–age relation from Gaia

Empirical and theoretical studies have demonstrated that the periods of Mira variable stars are related to their ages. This, together with their brightness in the infrared, makes them powerful probes of the formation and evolution of highly-extincted or distant parts of the Local Group. Here we utilise the Gaia DR3 catalogue of long-period variable candidates to calibrate the period–age relation of the Mira variables. Dynamical models are fitted to the O-rich Mira variable population across the extended solar neighbourhood and then the resulting solar neighbourhood period–kinematic relations are compared to external calibrations of the age–kinematic relations to derive a Mira variable period–age relation of τ ≈ (6.9 ± 0.3) Gyr(1 + tanh ((330 d − P)/(400 ± 90)d). Our results compare well with previous calibrations using smaller datasets as well as the period–age properties of Local Group cluster members. This calibration opens the possibility of accurately characterising the star formation and the impact of different evolutionary processes throughout the Local Group.
Taxonomic identification of dolphin love charms commercialized in the Amazonian region through the analysis of cytochrome b DNA

Previous studies identified the Amazon river dolphin (Inia geoffrensis) as the species frequently traded in public markets of Pará and Amazonas State (Brazil). In order to investigate the geographic origin and the taxonomic identification of these specimens we analysed 21 samples provided by residents of the city of Belém and vicinities (Pará State, Brazil), presumably purchased in the ‘Ver-o-Peso’ Market (Belém) or the Manaus Municipal Market. DNA was extracted from dehydrated genitalia or from genitalia conserved in alcohol and the cytochrome b gene was PCR-amplified. Phylogenetic analyses showed identical topologies in both MP and NJ trees, with Sotalia splitting into two groups, one clade comprising the estuarine dolphin (S. guianensis) and all eight haplotypes from market-samples and another one, comprising the tucuxi (S. fluviatilis) haplotypes from the GenBank. Our findings indicated that the marine species is under a stronger commercial pressure than the Amazonian river dolphin (I. geoffrensis) and the tucuxi (S. fluviatilis) in the region. Therefore population dynamic studies as well as population monitoring should be carried out in order to evaluate the effects of this commercial hunting on the species and its local populations. The marine dolphins have been incidentally captured in gill-nets in the region, suggesting that these activities must also be monitored at the same time that social programmes must be implemented in order to inform and clarify local community and people involved in fishery activity to avoid that more animals might be captured and killed.
Energy-Based Yield Condition for Orthotropic Materials Exhibiting Asymmetry of Elastic Range

© 2020. The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4.0, https://creativecommons.org/licenses/by-nc/4.0/deed.en which permits the use, redistribution of the material in any medium or format, transforming and building upon the material, provided that the article is properly cited, the use is noncommercial, and no modifications or adaptations are made. Arch. Metall. Mater. 65 (2020), 2, 771-778
Identification of Meloidogyne spp. from North East Libya and comparison of their inter- and intra-specific genetic variation using RAPDs

Four techniques, i.e . , perineal patterns, isozymes, specific sequence characterised amplified region-polymerase chain reaction (SCAR-PCR) and random amplified polymorphic DNA (RAPD), were compared for the identification of species of root-knot nematode (RKN) from Libya. The RAPD technique proved superior for species diagnosis. A population from Massa that could not, because of atypical patterns, be identified using either perineal patterns or isozyme phenotypes, showed amplification patterns consistent with those of M. incognita. A new esterase phenotype is described for this population. Single egg mass lines from two other locations, Elhamma and Durnah, were identified as M. javanica , whereas those from Aun Mare were identified as M. incognita. RAPDs were used to examine the relationships between the Libyan isolates and isolates of Meloidogyne spp. from elsewhere. This technique revealed differences in the Libyan isolates of M. incognita that distinguished them from isolates from other geographic origins. The work demonstrates the potential to utilise the RAPD technique in an integrated programme to control RKN.
Physical, chemical, and toxicological characterization of fibrillated forms of cellulose using an in vitro gastrointestinal digestion and co-culture model.

Fibrillated cellulose is a next-generation material in development for a variety of applications, including use in food and food-contact materials. An alternative testing strategy including simulated digestion was developed to compare the physical, chemical, and biological characteristics of seven different types of fibrillated cellulose, following European Food Safety Authority guidance. Fibrillated forms were compared to a conventional form of cellulose which has been used in food for over 85 years and has Generally Recognized as safe regulatory status in the USA. The physical and chemical characterization of fibrillated celluloses demonstrate that these materials are similar physically and chemically, which composed of the same fundamental molecular structure and exhibit similar morphology, size, size distribution, surface charge, and low levels of impurities. Simulated gastrointestinal and lysosomal digestions demonstrate that these physical and chemical similarities remain following exposure to conditions that mimic the gastrointestinal tract or intracellular lysosomes. A toxicological investigation with an advanced intestinal co-culture model found that exposure to each of the fibrillated and conventional forms of cellulose, in either the pristine or digested form at 0.4% by weight, showed no adverse toxicological effects including cytotoxicity, barrier integrity, oxidative stress, or inflammation. The results demonstrate the physical, chemical, and biological similarities of these materials and provide substantive evidence to support their grouping and ability to read-across data as part of a food safety demonstration.
ONTOGENY OF TISSUES IN STEM AND LEAF OF CYTOCHIMERAL APPLES

MOST COLCHICINE-INDUCED POLYPLOID plants are of diplo-tetraploid chimeral nature. This has been shown in Datura (Satina et al., 1940, Satina and Blakeslee, 1941) and cranberry (Dermen and Bain, 1941, 1944, and Dermen, 1947a) and a number of other species. Einset (1950), Einset et al. (1946, 1947), Einset and Imhofe (1949), Blaser and Einset (1948, 1950), Darrow et al. (1948), Dermen and Darrow (1948), and Dermen (1948, 1951a, b, c), reported on naturally occurring large-fruited sports of apple. These sports proved to be diplotetraploid chimeral types similar to certain types of the colchicine-induced chimeras in Datura and cranberry. The types found in the apple are (a) 2-2-4 (diploid-diploid-tetraploid) chimera in which the two outermost cell layers, L-I and L-II, of the apical dome of the shoot are 2x (diploid) and the third layer, L-III, with the underlying tissue, 4x (tetraploid); (b) 2%2-2-4 type of chimera in which the outer three layers of the dome are 2x and the inner tissue is 4x; (c) 2-4-2 type in which L-II is 4x and L-I and L-III are 2x; (d) 2-4-4 type in which only L-I is 2x and all internal tissue of the dome is 4x. Only the last two types are sexually tetraploid, as the sporogenous tissue, in stamens and ovules, is derived from L-II. Another type (e) 2-2-2-2-4 was found in a colchicine-treated McIntosh apple (Dermen, 1951b) in which the outer four apical layers of the dome were 2x and the innermost tissue was 4x. Chimeral types a, b, and d were used by Blaser and Einset (1948, 1950) in their study of the ontogenesis of tissues in the leaf and the flower of the apple. The present study deals with the ontogeny of tissues in the leaf and stem of apple. A report on a similar study of the flower will be presented separately. At the outset, it may be stated that ontogenetic developments in the leaf and stem of the apple resemble very closely those in the cranberry (Dermen, 1947a); therefore, in this article descriptions of chimeral features in the apple will not be given in detail. CYTOHISTOLOGY OF APICAL DOMES OF SHOOTS OF DIPLOID AND CHIMERAL TYPES. -Four types of apical domes of shoots are shown in fig. 1-4. Boundaries between diploid and tetraploid areas are indicated by ink lines in fig. 2-4 to assist the reader in recognizing these areas, since it is difficult to see the difference in cell size between 2x and 4x portions of the domes. The difficulty indicated here appeared to be due to inherent lack of an obvious difference between cell size of diploid and tetra-
Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis

Abstract Data mining techniques have been successfully utilized in different applications of significant fields, including medical research. With the wealth of data available within the health-care systems, there is a lack of practical analysis tools to discover hidden relationships and trends in data. The complexity of medical data that is unfavorable for most models is a considerable challenge in prediction. The ability of a model to perform accurately and efficiently in disease diagnosis is extremely significant. Thus, the model must be selected to fit the data better, such that the learning from previous data is most efficient, and the diagnosis of the disease is highly accurate. This work is motivated by the limited number of regression analysis tools for multivariate counts in the literature. We propose two regression models for count data based on flexible distributions, namely, the multinomial Beta-Liouville and multinomial scaled Dirichlet, and evaluated the proposed models in the problem of disease diagnosis. The performance is evaluated based on the accuracy of the prediction which depends on the nature and complexity of the dataset. Our results show the efficiency of the two proposed regression models where the prediction performance of both models is competitive to other previously used regression models for count data and to the best results in the literature.
Transmission of Food Selectivity from Mothers to Offspring in Akodon Azarae (Rodentia, Muridae)

In mammals, selection of the appropriate food types from the available ones in the environment, is one of the main problems which offspring have to solve at weaning. Investigation of the mother's mouth by the offspring could be the best strategy for getting this information. Under laboratory conditions we studied the role played by the mother in the transmission of food selectivity to offspring in Akodon azarae. Offspring spent more time smelling the mother's mouth when she had eaten unfamiliar food (squash or potato) than when mothers had eaten familiar food (sunflower seeds). After a period of interaction between the mother and the offspring, pups ate larger quantities of being the food type that had been the most selected by their mothers, independently of preference ranking (squash and potato the less preferred type of food). We concluded that mothers in A. azarae play an active role in the transmission of food selectivity to their offspring.
Of Ciphers and Neurons - Detecting the Type of Ciphers Using Artificial Neural Networks

There are many (historical) unsolved ci-phertexts from which we don’t know the type of cipher which was used to encrypt these. A ﬁrst step each cryptanalyst does is to try to identify their cipher types us-ing different (statistical) methods. This can be difﬁcult, since a multitude of cipher types exist. To help cryptanalysts, we developed a ﬁrst version of an artiﬁ-cial neural network that is right now able to differentiate between ﬁve classical ciphers: simple monoalphabetic substitu-tion, Vigen`ere, Playfair, Hill, and transposition. The network is based on Google’s TensorFlow library as well as Keras. This paper presents the current progress in the research of using such networks for detecting the cipher type. We tried to classify all ciphers of a new MysteryTwister C3 challenge called “Cipher ID” created by Stamp in 2019. The network is able to classify about 90% of the ciphertexts of the challenge correctly. Furthermore, the paper presents the current state-of-the-art of cipher type detection. Finally, we present a method which shows that one can save about 54% computation time for classiﬁ-cation of cipher types when using our arti-ﬁcial neural network instead of trying different solvers for all ciphertext messages of Stamp’s challenge.