Miracle-dz/UniFAR-FTUs huggingface dataset:
Hecate/Grip2a Acts to Reorganize the Cytoskeleton in the Symmetry-Breaking Event of Embryonic Axis Induction

Maternal homozygosity for three independent mutant hecate alleles results in embryos with reduced expression of dorsal organizer genes and defects in the formation of dorsoanterior structures. A positional cloning approach identified all hecate mutations as stop codons affecting the same gene, revealing that hecate encodes the Glutamate receptor interacting protein 2a (Grip2a), a protein containing multiple PDZ domains known to interact with membrane-associated factors including components of the Wnt signaling pathway. We find that grip2a mRNA is localized to the vegetal pole of the oocyte and early embryo, and that during egg activation this mRNA shifts to an off-center vegetal position corresponding to the previously proposed teleost cortical rotation. hecate mutants show defects in the alignment and bundling of microtubules at the vegetal cortex, which result in defects in the asymmetric movement of wnt8a mRNA as well as anchoring of the kinesin-associated cargo adaptor Syntabulin. We also find that, although short-range shifts in vegetal signals are affected in hecate mutant embryos, these mutants exhibit normal long-range, animally directed translocation of cortically injected dorsal beads that occurs in lateral regions of the yolk cortex. Furthermore, we show that such animally-directed movement along the lateral cortex is not restricted to a single arc corresponding to the prospective dorsal region, but occur in multiple meridional arcs even in opposite regions of the embryo. Together, our results reveal a role for Grip2a function in the reorganization and bundling of microtubules at the vegetal cortex to mediate a symmetry-breaking short-range shift corresponding to the teleost cortical rotation. The slight asymmetry achieved by this directed process is subsequently amplified by a general cortical animally-directed transport mechanism that is neither dependent on hecate function nor restricted to the prospective dorsal axis.
Reproductive Biology and Endocrinology Open Access Isolation and Characterization of a Strain of Lichtheimia Corymbifera (ex Absidia Corymbifera) from a Case of Bovine Abortion

Background: Lichtheimia corymbifera (previously Absidia corymbifera) is a filamentous zygomycetes belonging to the order Mucorales and to the family Lichtheimiaceae. Members of genus Lichtheimia spp. are cosmopolitan and ubiquitous in nature. Lichtheimia corymbifera is a recognized agent of diseases in man and animals. In cattle it causes abortion and mastitis. Three cases of bovine abortion occurred in a herd located in the Po Valley. Serological examinations were performed on fetal and mother's blood. One of the aborted fetus was referred to our laboratory. The paper describes the isolation and characterization of Lichtheimia corymbifera from a bovine aborted fetus.
Seeking Legitimacy: The Community College Mission and the Honors College

The community college mission has been the subject of considerable review and commentary since its conception. Based on traditional concerns of access, a consensus has largely been reached regarding the inclusion of transfer, career, developmental, and community foci within a comprehensive community college. While concerns regarding access and affordability have largely driven mission, community colleges have also begun to reach out to other groups of students, including international students and honors students, raising questions about mission. Community colleges have addressed this latter group through honors sections and programs. As with four-year colleges, community colleges have also begun to institute honors colleges as a way to recruit and serve high achieving students who might otherwise go elsewhere. Based on a case study of one college's efforts to establish an honors college, we suggest a contingent model for development of honors colleges at the community college. The ultimate determinations as to whether the honors college is true to the community college mission lies in the composition of honors college participants. Districts that can use honors colleges to attract diversity in terms of underrepresented groups to their colleges may fulfill the promise of the traditional community college mission by making the transition from the community college to a selective four-year institution less onerous. The enhanced confidence, success, and social capital obtained in such an honors college simultaneously meets the egalitarian and meritocratic aims of the community college.
Self-emulsifying drug delivery systems as a tool to improve solubility and bioavailability of resveratrol

Resveratrol is a nonflavonoid polyphenolic compound which has a broad range of desirable biological actions which include antioxidant, anti-inflammatory, antidiabetic, cardioprotective, and antitumor activities. However, there is concern that the bioavailability of resveratrol may limit some of its clinical utility. So, the aim of this study was to enhance the dissolution rate and oral hypoglycemic and hypolipidemic effect of resveratrol. This was achieved using self-emulsifying drug delivery system. The solubility of resveratrol was determined in various oils, surfactants, and cosurfactants. Phase diagram was plotted to identify the efficient self-emulsification regions using olive oil, Tween 80, and propylene glycol. The prepared self-emulsifying drug delivery system formulations were tested for thermodynamic stability, emulsification efficiency, droplet size, zeta potential, and in vitro drug release. Self-emulsification time averaged 17–99 seconds without precipitation and the mean droplet sizes ranged from 285 to 823 nm with overall zeta potential of −2.24 to −15.4 mv. All formulations improved drug dissolution in relation to unprocessed drug with a trend of decreased dissolution parameters with increasing oil content. The optimized formula, F19, with dissolution efficiency of 94% compared to only 42% of pure drug was used to study the in vivo hypoglycemic and hypolipidemic effects of resveratrol in diabetic-induced albino rats and comparing these effects with that of pure resveratrol in different doses. Treatment with the optimized formula, F19, at 10 mg/kg had significant hypoglycemic and hypolipidemic effects in diabetic-induced albino rats which were nearly similar to the high dose (20 mg/kg) of unprocessed resveratrol. From the study, it was concluded that formulation F19 has good emulsification property with uniform globule size, satisfactory in vitro drug release profile, and significant in vivo hypoglycemic effects which identify future opportunities for resveratrol delivery.
Evaluation of manometric temperature measurement, a process analytical technology tool for freeze-drying: Part II measurement of dry-layer resistance

The purpose of this work was to study the factors that may cause systematic errors in the manometric temperature measurement (MTM) procedure used to determine product dry-layer resistance to vapor flow. Product temperature and dry-layer resistance were obtained using MTM software installed on a laboratory freeze-dryer. The MTM resistance values were compared with the resistance values obtained using the “vial method. ” The product dry-layer resistances obtained by MTM, assuming fixed temperature difference (ΔT; 2°C), were lower than the actual values, especially when the product temperatures and sublimation rates were low, but with ΔT determined from the pressure rise data, more accurate results were obtained. MTM resistance values were generally lower than the values obtained with the vial method, particularly whenever freeze-drying was conducted under conditions that produced large variations in product temperature (ie, low shelf temperature, low chamber pressure, and without thermal shields). In an experiment designed to magnify temperature heterogeneity, MTM resistance values were much lower than the simple average of the product resistances. However, in experiments where product temperatures were homogenous, good agreement between MTM and “vial-method” resistances was obtained. The reason for the low MTM resistance problem is the fast vapor pressure rise from a few “warm” edge vials or vials with low resistance. With proper use of thermal shields, and the evaluation of ΔT from the data, MTM resistance data are accurate. Thus, the MTM method for determining dry-layer resistance is a useful tool for freeze-drying process analytical technology.
Empirical Statistics: III. Changes in Use of Statistics in Psychology

A survey of statistical methods used in 1979 by eight journals of psychology was carried out. Results were compared to those of an identical survey in 1971. Of 76 different methods employed, only nine appeared in at least 5% of the articles. Compared to the previous survey, there was a slight decrease in the use of non-parametric techniques, a moderate increase in the use of correlational techniques and analyses of variance, and a large increase in the use of multivariate techniques.
Spline Trajectory Tracking and Obstacle Avoidance for Mobile Agents via Convex Optimization

We propose an output feedback control-based motion planning technique for agents to enable them to converge to a specified polynomial trajectory while imposing a set of safety constraints on our controller to avoid collisions within the free configuration space (polygonal environment). To achieve this, we 1) decompose our polygonal environment into different overlapping cells 2) write out our polynomial trajectories as the output of a reference dynamical system with given initial conditions 3) formulate convergence and safety constraints as Linear Matrix Inequalities (LMIs) on our controller using Control Lyapunov Functions (CLFs) and Control Barrier Functions (CBFs) and 4) solve a semi-definite programming (SDP) problem with convergence and safety constraints imposed to synthesize a controller for each convex cell. Extensive simulations are included to test our motion planning method under different initial conditions and different reference trajectories. The synthesized controller is robust to changes in initial conditions and is always safe relative to the boundaries of the polygonal environment.
Validation of the Early Childhood Ecology Scale-Revised: A Reflective Tool for Teacher Candidates

Given increasing numbers of young culturally and/or linguistically diverse (CLD) children across the United States, it is crucial to prepare early childhood teachers to create high-quality environments that facilitate the development of all children. The Early Childhood Ecology Scale-Revised (ECES-R) has been developed as a reflective tool to help early childhood teacher candidates examine their beliefs concerning classroom ecology. Using cultural responsivity and classroom management theories as the theoretical framework, the authors posit that the ECES-R identifies five dimensions that promote a high-quality, culturally responsive classroom ecology. These include the sociocognitive, sociocultural, sociolinguistic, socioemotional, and sociophysical dimensions. Evidence for reliability and validity was established. Factor analysis supported the five proposed dimensions, with the identification of an additional dimension: sociocomfort.
Decadal Variability in ENSO Predictability and Prediction

Abstract A simple coupled model is used to examine decadal variations in El Nino–Southern Oscillation (ENSO) prediction skill and predictability. Without any external forcing, the coupled model produces regular ENSO-like variability with a 5-yr period. Superimposed on the 5-yr oscillation is a relatively weak decadal amplitude modulation with a 20-yr period. External uncoupled atmospheric “weather noise” that is determined from observations is introduced into the coupled model. Including the weather noise leads to irregularity in the ENSO events, shifts the dominant period to 4 yr, and amplifies the decadal signal. The decadal signal results without any external prescribed changes to the mean climate of the model. Using the coupled simulation with weather noise as initial conditions and for verification, a large ensemble of prediction experiments were made. The forecast skill and predictability were examined and shown to have a strong decadal dependence. During decades when the amplitude of the interannua.
FACT: Functionality-centric Access Control System for IoT Programming Frameworks

Improvement in the security and availability is important for the success of the Internet of Things (IoT). Given that recent IoT devices are likely to have multiple functionalities and support third-party applications, this goal becomes challenging to achieve. Through an in-depth investigation of existing IoT frameworks, we focused on two inherent security flaws in their design caused by their device-centric approaches: (1) coarse-grained access control and (2) lack of resource isolation. Because of the coarse-grained access control, IoT devices suffer from over-privileged applications. Furthermore, the lack of resource isolation allows the possibility of Denial-of-Service attacks. In this paper, we propose a functionality-centric approach to manage IoT devices, called FACT, which has two design goals, namely, the principle of least privilege and the availability in terms of device functionalities. FACT isolates each functionality of the device using Linux Containers and grants a subject the privilege to access for each required functionality. We provide the overall framework and detailed working procedures between components that constitute FACT. We built a prototype of FACT on IoTivity and show that it accomplishes secure and efficient linkages between applications and functionalities of IoT devices through analysis and experiments.
Automatic Construction of a Large-Scale Corpus for Geoparsing Using Wikipedia Hyperlinks

Geoparsing is the task of estimating the latitude and longitude (coordinates) of location expressions in texts. Geoparsing must deal with the ambiguity of the expressions that indicate multiple locations with the same notation. For evaluating geoparsing systems, several corpora have been proposed in previous work. However, these corpora are small-scale and suffer from the coverage of location expressions on general domains. In this paper, we propose Wikipedia Hyperlink-based Location Linking (WHLL), a novel method to construct a large-scale corpus for geoparsing from Wikipedia articles. WHLL leverages hyperlinks in Wikipedia to annotate multiple location expressions with coordinates. With this method, we constructed the WHLL corpus, a new large-scale corpus for geoparsing. The WHLL corpus consists of 1.3M articles, each containing about 7.8 unique location expressions. 45.6% of location expressions are ambiguous and refer to more than one location with the same notation. In each article, location expressions of the article title and those hyperlinks to other articles are assigned with coordinates. By utilizing hyperlinks, we can accurately assign location expressions with coordinates even with ambiguous location expressions in the texts. Experimental results show that there remains room for improvement by disambiguating location expressions.
Efficient argument classification with compact language models and ChatGPT-4 refinements

Argument mining (AM) is defined as the task of automatically identifying and extracting argumentative components (e.g. premises, claims, etc.) and detecting the existing relations among them (i.e., support, attack, no relations). Deep learning models enable us to analyze arguments more efficiently than traditional methods and extract their semantics. This paper presents comparative studies between a few deep learning-based models in argument mining. The work concentrates on argument classification. The research was done on a wide spectrum of datasets (Args.me, UKP, US2016). The main novelty of this paper is the ensemble model which is based on BERT architecture and ChatGPT-4 as fine tuning model. The presented results show that BERT+ChatGPT-4 outperforms the rest of the models including other Transformer-based and LSTM-based models. The observed improvement is, in most cases, greater than 10The presented analysis can provide crucial insights into how the models for argument classification should be further improved. Additionally, it can help develop a prompt-based algorithm to eliminate argument classification errors.
Relationship between muscle strength and front crawl swimming velocity

Purpose. competitive performance in swimming depends on a number of factors including, among others, the development of relevant muscle groups. The aim of the study was to clarify the relationship between muscle strength and swimming velocity and the role of individual muscle groups in front crawl swimming. Methods. sixteen physical education university students participated in the study. The strength values, defined as torque produced during isometric contractions, of eight upper and lower extremity muscle groups were measured. Data were compared with participants' front crawl swim times in the 25m and 50m distances. Results. correlation analysis demonstrated a relationship between muscle strength and swimming velocity. statistically significant relationships were observed between swimming velocity and the torque values of the elbow flexor and shoulder extensor muscles as well as the sum of upper extremity muscle torque values (p < 0.05). Conclusions. The results indicate the need for a focus on training those muscle groups identified as having a statistically significant relationship with swimming velocity for a given distance, as the sample showed deficiencies in the strength of those muscle groups responsible for generating propulsive force in the front crawl. Additionally, the collected data can serve as a diagnostic tool in evaluating the development of muscle groups critical for swimming performance.
Modelling gesture as speech: A linguistic approach

Abstract Gesture communication, like prosody and paralinguistic voice features, strikes the attention when there is too little of it, too much of it, or when it does not seem to fit the words or the situation. The present study follows the principle that gesture is similar to some aspects of speech, particularly prosody and parts of the lexicon. Description of visual gesture articulation is therefore treated as a conservative extension of descriptions of vocal speech gesture articulation. Well-tried models of speech forms and functions are deployed, together with accounts from gesture studies from psychology to robotics. Evidence is taken from video data of story-telling in Ega, an African language, and in German, and the adequacy of descriptive and computational models of the forms and functions of speech is discussed, with a proposal for the formal modelling of speech-like timing of gesture articulators by means of Time Types in the Linear-Feature-Timing-Realtime (LFTR) model. Finally, an integrative model for combining visual and vocal gesture articulations into a comprehensive functional model of multimodal communication is proposed: the Rank Interpretation Model (RIM).
Navigating Contradictory Communities of Practice in Learning to Teach for Social Justice

In this article, I explore the contradictions that four new teachers experienced as their commitments to social justice collide with urban school culture. Framed within Jean Lave and Etienne Wenger's (1999) theory of situated learning and development concepts of identity, practice, and relationships illustrate how teachers' ideals are challenged as socializing features of two communities of practice—the universities and schools—intersect in new teachers' development. This research contributes empirical evidence of the application of critical multicultural teacher preparation into practice, a cultural representation of how educational inequities are reproduced or disrupted in the situated contexts of urban schools, an application of Lave and Wenger's theory of Legitimate Peripheral Participation that incorporates formal and informal education across multiple activity settings, and a call for collaborative communities of practice that support teachers' situated learning in creating transformative practices.
Playing by the rules: rewriting as a practical optimisation technique in GHC

We describe a facility for improving optimization of Haskell programs using rewrite rules. Library authors can use rules to express domain-speci c optimizations that the compiler cannot discover for itself. The compiler can also generate rules internally to propagate information obtained from automated analyses. The rewrite mechanism is fully implemented in the released Glasgow Haskell Compiler. Our system is very simple, but can be e ective in optimizing real programs. We describe two practical applications involving short-cut deforestation, for lists and for rose trees, and document substantial performance improvements on a range of programs.
RobotsFor . Me and Robots For You

Copyright is held by the author/owner(s). Abstract Interactive Machine Learning (IML) and Human-Robot Interaction (HRI) are rapidly expanding fields that focuses on allowing non-expert users to naturally and effectively interact and teach robots. The importance of conducting extensive user studies has become a fundamental component of this work; however, due to the nature of robotics research, such studies often become expensive, time consuming, and limited to constrained demographics. In this work we present the Robot Management System, a novel framework for bringing robotic experiments to the Web through a project known as RobotsFor.Me. We present a description of our open source system and describe the potential this and similar systems have for contributing to IML.
Characterisation of the gene encoding type II DNA topoisomerase from Leishmania donovani: a key molecular target in antileishmanial therapy.

The gene encoding type II DNA topoisomerase from the kinetoplastid hemoflagellated protozoan parasite Leishmania donovani (LdTOP2) was isolated from a genomic DNA library of this parasite. DNA sequence analysis revealed an ORF of 3711 bp encoding a putative protein of 1236 amino acids with no introns. The deduced amino acid sequence of LdTOP2 showed strong homologies to TOP2 sequences from other kinetoplastids, namely Crithidia and Trypanosoma spp. with estimated identities of 86 and 68%, respectively. LdTOP2 shares a much lower identity of 32% with its human homologue. LdTOP2 is located as a single copy on a chromosome in the 0.7 Mb region in the L.donovani genome and is expressed as a 5 kb transcript. 5'-Mapping studies indicate that the LdTOP2 gene transcript is matured post-transcriptionally with the trans-splicing of the mini-exon occurring at -639 from the predicted initiation site. Antiserum raised in rabbit against glutathione S-transferase fusion protein containing the major catalytic portion of the recombinant L.donovani topoisomerase II protein could detect a band on western blots at approximately 132 kDa, the expected size of the entire protein. Use of the same antiserum for immunolocalisation analysis led to the identification of nuclear, as well as kinetoplast, antigens for L.donovani topoisomerase II. The in vitro biochemical properties of the full-length recombinant LdTOP2 when overexpressed in E.coli were similar to the Mg(II) and ATP-dependent activity found in cell extracts of L.donovani.