jimnoneill/paper-to-field-training huggingface dataset:
Korelasi Antara Kemandirian Dan Motivasi Belajar Dengan Prestasi Belajar Siswa SMA

Field: Psychology (Social Sciences)

This research aims to know the corelation between indepndent learning with achievement of learning math, the corelation between learning motivation with achievement of learning math, and corelation between independent learning and learning motivation with students’ achievement of learning math class XI in SMA Katolik Waikabubak. This research uses quantitative approach. The population of this research is the students of class XI SMA Katolik Waikabubak totally 132 students. Sampling technique uses by Slovin pattern and 99 students are choosen. The data collecting by questionaire. Hypothesis test uses product moment of corelation test for first hypothesis and the second, meanwhile for the third hypothesis by multiple regresion test. The instrument of validity test uses person’s product moment of corelation and the realibity tes uses Alpha Cronbach. Analysis tes for normality and linearity test apply Kolmogrov-Kmirnov. The result of this investigation, shows that: 1) there is no corelation between independent learning with students’ achievement of learning math, 2) there is corelation between learning motivation with students’ achievement of learning math, 3) there is corelation of independent learning and learning motivation from students with students’ achievement of learning math
QSARtuna: An Automated QSAR Modeling Platform for Molecular Property Prediction in Drug Design

Field: Computer Science (Physical Sciences)

Machine-learning (ML) and deep-learning (DL) approaches to predict the molecular properties of small molecules are increasingly deployed within the design-make-test-analyze (DMTA) drug design cycle to predict molecular properties of interest. Despite this uptake, there are only a few automated packages to aid their development and deployment that also support uncertainty estimation, model explainability, and other key aspects of model usage. This represents a key unmet need within the field, and the large number of molecular representations and algorithms (and associated parameters) means it is nontrivial to robustly optimize, evaluate, reproduce, and deploy models. Here, we present QSARtuna, a molecule property prediction modeling pipeline, written in Python and utilizing the Optuna, Scikit-learn, RDKit, and ChemProp packages, which enables the efficient and automated comparison between molecular representations and machine learning models. The platform was developed by considering the increasingly important aspect of model uncertainty quantification and explainability by design. We provide details for our framework and provide illustrative examples to demonstrate the capability of the software when applied to simple molecular property, reaction/reactivity prediction, and DNA encoded library enrichment classification. We hope that the release of QSARtuna will further spur innovation in automatic ML modeling and provide a platform for education of best practices in molecular property modeling. The code for the QSARtuna framework is made freely available via GitHub.
Characterization of exponential and Weibull distributions through truncated statistics

Field: Mathematics (Physical Sciences)

Abstract Let Y 1(a 1) be the result of truncating at a 1 the ±th power of each of n real random variables X 1 .... , X n. Suppose for some 1 ≤ s ≤ n − 1. (Y 1, ..., Y 1) and (Y a+l ..., Y n) are independent. Then all X 1 are mutually independent and follow the Weibull distribution it and only if EΠn j-1 Y(aj) depends on the aj only through their sum.
Fever and survival in rabbits infected with Pasteurella multocida

Field: Medicine (Health Sciences)

1. Fever and survival rate of New Zealand white rabbits, injected with two doses of live Pasteurella multocida , were compared to determine if the relation between fever and survival observed in reptiles is also seen in a mammal. Since it is known that fever is beneficial in infected reptiles, our experiments were viewed as an initial step in the investigation of a similar potentially beneficial effect in mammals. 2. There was a statistically significant correlation between the fever magnitude and survival. As fever increased up to 2·25 °C, the survival rate increased. Fevers above this level were associated with a decreased survival rate. 3. Antipyretic drugs were administered to half the rabbits. The drugs were ineffective in reducing the fevers produced by injections of large doses of bacteria. Rabbits infused with antipyretics had a decreased mortality rate. The decreased mortality rate may be due to some action of the drugs other than their antipyretic effect. 4. In vitro growth of P. multocida at normal (39 °C) and febrile (42 °C) temperatures was not significantly different. This suggests that the increased survival rate associated with higher fevers was not due to a direct inhibition of the growth of the bacteria by the increased temperature. It may be due to an enhancement of some aspect of the rabbits' immunological defences. 5. It remains to be determined whether fever causes a higher survival rate or whether fever is only correlated with survival rate.
Resilience strategies for centers and institutes focused on food systems transformation

Field: Social Sciences (Social Sciences)

University-based centers and institutes can play an important role in facilitating community-based, inter- and transdisciplinary research, and providing the capacity and expertise to address pressing issues. However, many centers and institutes face challenges related to long-term stability and resili­ence. In this paper we share recommendations on how to support centers and institutes that focus on food systems transformation. We drew these rec­ommendations from insights and stories shared by leaders of nine diverse centers and institutes that participate in the Inter-Institutional Network for Food, Agriculture, and Sustainability (INFAS). We discuss how they are structured, the work they have done, and the benefits of that work, as well as the challenges they have faced and what they rec­ommend for addressing those challenges. Their primary challenges include cultivating the support of university administrators and faculty, hiring and retaining supportive faculty, and securing sustaina­ble funding. We provide a diverse range of recom­mendations to address each of these challenges, with the hope that other centers and institutes can find some that will be relevant to their particular institutional, social, and political contexts.
Interferon induction: regulation by both virus and cell.

Field: Immunology and Microbiology (Life Sciences)

Both the virus and its host cell play significant roles in the regulation of interferon (IFN) induction and production. The virus exerts a regulatory effect through variation in its capacity to deliver an IFN inducer molecule in the form of dsRNA, and by suppressing activation of the IFN gene(s) or their subsequent expression. Regulation of IFN induction by genetically closely related viruses may encompass a 10,000-fold range of IFN yields. Viruses that fail to induce IFN express a dominant phenotype in that they suppress IFN induction in cells otherwise programed to produce IFN. The loss of the IFN induction-suppressing phenotype through non-temperature-sensitive mutations is accompanied by the acquisition of IFN inducibility from an otherwise latent state. The cell regulates production of IFN through genetically programed events as part of the developmental process in embryos, and through physiological changes that occur during incubation in vitro. In the developing chicken embryo, the acquisition of IFN inducibility may span a 1,000-fold range of IFN yields, and appears as a time-dependent process proceeding uninterrupted from in ovo to in vitro culture. Populations of established cell lines contain subpopulations (clones) that can differ 10-fold from the mean IFN yielding capacity of the parent, and may undergo physiological changes upon "aging" in vitro that also span a 10-fold range of IFN yields. During development, and most likely as a result of physiological changes brought on by aging in vitro, IFN regulatory factors themselves are regulated. This report reviews the regulation of IFN induction and production with vesicular stomatitis virus (VSV) as a model virus, and primary chick embryo cells and an established line of mouse L cells as model host cells to define systematically the extent and manner in which the virus and cell regulate IFN induction and production.
A conceptual framework for curriculum development.

Field: Social Sciences (Social Sciences)

A conceptual framework provides boundaries within which facts, concepts, theories, and propositions from three theoretical sources interact with clarity, coherence, and consistency. From the framework objectives are derived. The framework gives direction to the curriculum design. Finally, the conceptual framework serves as a background against which objectives can be tested. A conceptual framework for curriculum encourages systematic curriculum evaluation that will eventually allow us to more accurately describe, explain, predict, and control the work of curriculum.