Miracle-dz/UniFAR-FTUs huggingface dataset:
A Deep Reinforcement Learning-Based Multi-Agent Framework to Enhance Power System Resilience Using Shunt Resources

Existing power system resilience enhancement methods, such as proactive generation rescheduling, movable sources dispatch, and network topology reconfiguration, do not explore the capability and flexibility of shunts to maintain voltage stability during and after disrupting events. Besides, existing methods rely on accurate system models that are not easily scalable for large integrated power grids. In this paper, a data-driven multi-agent framework based on a deep-reinforcement-learning algorithm is proposed to overcome the computation and scalability concerns related to precise system models and to plan for the deployment of shunts for power system resilience enhancement. Specifically, voltage violations due to outages of multiple lines during windstorms are taken as an example of a power system resilience improvement problem. Then, a multi-agent based hybrid soft actor critic (HSAC) algorithm is developed for offline siting and sizing as well as online controlling of shunt reactive power compensators to enhance voltage resilience. The HSAC algorithm is derived from the fundamental SAC algorithms that contain both continuous and discrete action spaces. The proposed multi-agent framework learns from previous experiences and eventually gets trained to determine proper locations and sizes for shunts to avoid voltage violations during multiple line failures. The proposed approach is demonstrated on the IEEE 57-bus and IEEE 300-bus systems. The results show that the proposed multi-agent framework is effective for installation planning and controlling of shunts to enhance power system resilience.
Molecular Insight and Mode of Inhibition of α‐Glucosidase and α‐Amylase by Pahangensin A from Alpinia pahangensis Ridl.

The inhibition of carbohydrate‐hydrolyzing enzymes in human digestive organs is crucial in controlling blood sugar levels, which is important in treating type 2 diabetes. In the current study, pahangensin A (1), a bis‐labdanic diterpene characterized previously in the rhizomes of Alpinia pahangensis Ridl. , was identified as an active dual inhibitor for α‐amylase (IC50=114.80 μm) and α‐glucosidase (IC50=153.87 μm). This is the first report on the dual α‐amylase and α‐glucosidase inhibitory activities of a bis‐labdanic diterpene. The Lineweaver‐Burk plots of compound 1 indicate that it is a mixed‐type inhibitor with regard to both enzymes. Based on molecular docking studies, compound 1 docked in a non‐active site of both enzymes. The dual inhibitory activity of compound 1 makes it a suitable natural alternative in the treatment of type 2 diabetes.
Sex-specific relationship between long-term maintenance of physical activity and cognition in the Health ABC Study: Potential role of hippocampal and dorsolateral prefrontal cortex volume.

BACKGROUND Being physically active (PA) is a promising strategy for the promotion of brain health, although substantial variation exists in the effects of PA at the individual level. Given the greater prevalence and faster progression of Alzheimer's disease in women compared to men, and known sex differences in brain architecture, analysis of sex differences in the relationship between PA, cognition, and brain region volumes, is warranted. METHODS To address this, we conducted secondary analyses of data from the Health, Aging, and Body Composition Study. To determine whether longitudinal changes in PA over 10-years predicted declines in global cognitive functioning and executive functions and processing speed differently in males and females, latent growth curve modeling was utilized. Magnetic resonance imaging was performed at year 10 and the hippocampus and dorsolateral prefrontal cortex were identified as regions of interest. RESULTS Maintaining PA over 10-years predicted less declines in executive functions and processing speed in females but not males. Maintaining PA over 10-years was significantly associated with greater volume of the left dorsolateral prefrontal cortex, a brain region involved in executive functions, in year 10 in females only. Maintaining physical actitivity was associated with better global cognitive function in both males and females, and also predicted volume of the left hippocampus, albeit in different directions with females showing a negative relationship and males showing a positive relationship. CONCLUSIONS These findings suggest that the relationship of PA with cognition and its neurobiological correlates differ by sex, with females apparently benefiting from PA to a greater extent than males. Development of personalized, tailored exercise recommendations to promote healthy brain aging should account for sex differences.
Norms matter: U.S. normative data under-estimate cognitive deficits in Norwegians with schizophrenia spectrum disorders

Abstract Objective: To illustrate and quantify how using different normative systems influences the accuracy of identifying cognitive impairment in people with schizophrenia spectrum disorders. Participants and methods: A convenience sample of 315 patients between 18 and 38 years of age referred for neuropsychological assessment at a psychiatric inpatient hospital in Bergen, Norway, was included. All completed the Norwegian version of the Repeatable Battery for the Assessment of Neuropsy-chological Status (RBANS). Results: There were statistically significant differences between the Immediate Memory, Visuospatial/Constructional, Language, Delayed Memory, and Total Scale Index scores when comparing the U.S. normative scores with the Scandinavian normative scores. The effect sizes were medium. The patient samples scored higher when using the U.S. normative data, suggesting less cognitive impairment. Conclusions: United States normative data yielded less impaired scores for Norwegians with schizophrenia spectrum disorders. The implications of using U.S. versus Scandinavian normative data are discussed.
Curcumin ameliorates gestational diabetes in mice partly through activating AMPK

Abstract Context: In vitro and in vivo research has shown that curcumin can alleviate diabetes and the relevant complications. Objective: To investigate the effect of curcumin on gestational diabetes (GD). Materials and methods: C57 BL/KsJdb/+(db/+) mice and C57 BL/KsJ+/+ mice (10–12 weeks old) were divided into four groups (n = 15): normal pregnancy (C57 BL/KsJ+/+), GD (C57 BL/KsJdb/+), GD plus low dose curcumin (50 mg/kg, orally gavage every day) and GD plus high dose curcumin (100 mg/kg, orally gavage every day). The tolerance of glucose and insulin were measured on gestation day 10. Body weight at birth and litter size of offspring were investigated, and the expression of oxidative stress factors [thiobarbituric acid reactive substance (TBARS), glutathione (GSH), superoxide dismutase (SOD) and catalase (CAT)] and AMP-activated protein kinase (AMPK), phospho-AMPK, histone deacetylases 4 (HDAC4), pHDAC4 and glucose-6-phosphatase (G6Pase) in the livers were analyzed by ELISA and Western blot on gestation day 20. Results: High dose curcumin could partly ameliorate the intolerance of glucose and insulin, and completely restore the litter size and the body weight of GD mice through decreased TBARS expression (p < 0.05) and increased GSH, SOD and CAT expression (p < 0.05). Enhanced AMPK activation, accompanied with decreased HDAC4 and G6Pase expression (p < 0.05) were partly contributed to the alleviation of GD mediated by curcumin. Conclusions: Although further detailed mechanism needs to be deciphered, curcumin can be considered as an alternative treatment for gestational diabetes.
Procedure for the assessment of cognitive complexity: Development and implementation in the topic "Hydrolysis of salts"

The aim of this research was the creation and validation of a procedure for determining the cognitive complexity of problem tasks in the field of salt hydrolysis. The procedure created included an assessment of the difficulty of concepts and an assessment of their interactivity. One of the research tasks was to determine whether there were misconceptions by students that might have influenced their achievement. There were 50 Bachelor of Science in Chemistry students who participated in the study. A knowledge test was used as a research instrument to assess the performance and a seven-point Likert scale to evaluate the invested mental effort. The validity of this instrument for the assessment of cognitive complexity was confirmed by a series of regression analyses, where acceptable and statistically significant correlation coefficients were obtained among the examined variables: student performance and invested mental effort as dependent variables and cognitive complexity as independent variable
Modeling the Influence of Online Social Media Information on Post-Disaster Mobility Decisions

Disaster risk management, including response and recovery, are essential elements of sustainable development. With the recent increase in natural hazards, the importance of techniques to understand, model and predict the evacuation and returning behavior of affected individuals is rising. Studies have found that influence from real world social ties affects mobility decisions during disasters. Despite the rapid spread of social media platforms, little has been quantitatively understood about the influence of social ties on online social media on such decisions. Information provided by who at what timing influences users’ decision-making process by how much during disasters? In this study, we answer these research questions by proposing a data-driven framework that can predict post-disaster mobility decisions and simultaneously unravel the influence of various information on online social media. More specifically, our method quantifies the influence of information provided by different types of social media accounts on the peoples’ decisions to return or stay displaced after evacuation. We tested our approach using real world data collected from more than 13 million unique Twitter users during Hurricane Sandy. Experiments verified that we can improve the predictive accuracy of return and displacement behavior, and also quantify the influence of online information. In contrast to popular beliefs, it was found that information posted by the crowd influenced the decisions more than information disseminated by official accounts. Improving our understanding of influence dynamics on online social media could provide policy makers with insights on how to disseminate information on social media more effectively for better disaster response and recovery, which may contribute towards building sustainable urban systems.
Understanding the escape of LyC and Lyα photons from turbulent clouds

Understanding the escape of Lyman continuum (LyC) and Lyman alpha (Lya) photons from molecular clouds is one of the keys to constraining the reionization history of the Universe and the evolution of galaxies at high redshift. Using a set of radiation-hydrodynamic simulations with adaptive mesh refinement, we investigate how photons propagate and escape from turbulent clouds with different masses, star formation efficiencies (SFEs), and metallicities, as well as with different models of stellar spectra and supernova feedback. We find that the escape fractions in both LyC and Lya are generally increasing with time if the cloud is efficiently dispersed by radiation and supernova feedback. When the total SFE is low (1% of the cloud mass), 0.1-5% of LyC photons leave the metal-poor cloud, whereas the fractions increase to 20-70% in clouds with a 10% SFE. LyC photons escape more efficiently if gas metallicity is lower, if the upper mass limit in the stellar initial mass function is higher, if binary interactions are allowed in the evolution of stars, or if additional strong radiation pressure, such as Lya pressure, is present. As a result, the number of escaping LyC photons can easily vary by a factor of $\sim4$ on cloud scales. The escape fractions of Lya photons are systemically higher (60-80%) than those of LyC photons despite large optical depths at line centre ($\tau_0\sim10^6-10^9$). Scattering of Lya photons is already significant on cloud scales, leading to double-peaked profiles with peak separations of $v_{\rm sep}\sim400\,{\rm km\,s^{-1}}$ during the initial stage of the cloud evolution, while it becomes narrower than $v_{\rm sep} \le 150 \, {\rm km\,s^{-1}}$ in the LyC bright phase. Comparisons with observations of low-redshift galaxies suggest that Lya photons require further interactions with neutral hydrogen to reproduce their velocity offset for a given LyC escape fraction.
A Simple Joint Model for Improved Contextual Neural Lemmatization

English verbs have multiple forms. For instance, talk may also appear as talks, talked or talking, depending on the context. The NLP task of lemmatization seeks to map these diverse forms back to a canonical one, known as the lemma. We present a simple joint neural model for lemmatization and morphological tagging that achieves state-of-the-art results on 20 languages from the Universal Dependencies corpora. Our paper describes the model in addition to training and decoding procedures. Error analysis indicates that joint morphological tagging and lemmatization is especially helpful in low-resource lemmatization and languages that display a larger degree of morphological complexity.
Health Related Quality of Life of Children Infected with HIV in Agra Region, India

Objective and Methods: HIV specific health related quality of life (HRQOL) instrument based on PedQLTM4.0 generic scale was prepared and named HIV-QOL. It was validated and used to evaluate HRQOL in HIV infected children in an observational,crossectional study conducted in the Department of Pediatrics, Sarojini Naidu Medical College, Agra, India. Results:Cronbach’s alpha score > 0.7,supported acceptable internal consistency of the instrument.The correlation coefficient of more than 0.8 indicated that the instrument was valid for application. Study included 40 HIV infected children between age 8 to 18 years.Their mean scores were calculated in all four domains (viz physical, social, emotional and school functioning) and comparison of HRQOL scores was done with respect to various social and demographic parameters. CD4 counts, clinical stage of the disease and living status of the parents and anti retroviral therapy (ART) had significant influence on the HRQOL scores. Conclusion: HIV QOL is a valid instrument to assess the health related quality of life of HIV infected children in India. It can help in assessing their health status, as well as in evaluating the impact of various medical and social programmes aimed at improving their quality of life.
Discovery goals and opportunities in high energy physics: a defense of BSM-oriented exploration over signalism

Discoveries come through exclusions, confirmations or revolutionary findings with respect to a theory canon populated by the Standard Model (SM) and beyond the SM (BSM) theories. Guaranteed discoveries are accomplished only through pursuit of BSM exclusion/confirmation, and thus require investment in the continual formation and analysis of a vibrant theory canon combined with investment in experiment with demonstrated capacity to make BSM exclusions/confirmations. Risks develop when steering away from BSM-oriented work toward its methodological rival, "signalism," which seeks to realize SM falsification or revolutionary discoveries outside the context of any BSM rationale. It is argued that such an approach leads to inscrutable exertions that reduce prospects for all discovery. The concepts are applied to the European Strategy Update, which seeks to identify future investments in forefront experiment that bring a balance of guaranteed and prospective value.
Structure formation in dark energy cosmologies described by PADE parametrization

We study the imprints on the formation of cosmic structures of a particular class of dark energy parameterizations dubbed PADE parameterization. Here we investigate how dark energy can affect the growth of large scale structures of the universe in framework of spherical collapse model. The dynamics of the spherical collapse of a dark matter halo depends on the properties of the dark energy model. We show that the properties of spherical collapse scenario are directly affected by the evolution of dark energy. We obtain the main parameters of spherical collapse for two different DE parameterizations in two different approaches: first the homogeneous DE approach, in which dark energy does not exhibit fluctuations on cluster scales and the other, clustered DE scenario in which, dark energy components inside the overdense region collapses similar to dark matter. Using the Sheth-Tormen mass function, we investigate the abundance of virialized halos in the framework of PADE parameterizations. Specifically, the present analysis shows that the number count of dark matter halos depends on the evolution of DE parameterizations and clustering properties of dark energy. Also we show that perturbations in phantom DE components enhance the growth of matter perturbations. This result were obtained in the literature for dark energy parameterizations that are phantom at all redshifts. But we obtained same results for dark energy parameterizations which are in phantom regime and enter in quintessence region at relatively low redshifts. We also show that in parameterizations under study, low mass halos were formed before massive halos.
Synthesis of Highly Luminescent InP/ZnS Quantum Dots with Suppressed Thermal Quenching

InP quantum dots (QDs) are promising down-conversion phosphors for white light LEDs. However, the mainstream InP QDs synthesis uses expensive phosphorus source. Here, economic, in situ-generated PH3 is used to synthesize InP QDs and a two-step coating of ZnS shells is developed to prepare highly luminescent InP/ZnS/ZnS QDs. The QDs show a photoluminescence quantum yield as high as 78.5%. The emission can be tuned by adjusting the halide precursor and yellow emissive InP/ZnS/ZnS QDs are prepared by judiciously controlling the synthetic conditions. The yellow QDs show suppressed thermal quenching and retain >90% room temperature PL intensity at 150 °C for the growth solution. Additionally, the PL spectrum matches with the eye sensitivity function, resulting in efficient InP QD white light LEDs.
Improving SMEs' Service Innovation Performance in the Face of Uncertainty Through IT Ambidexterity: A Configurational Approach

Taking a configurational approach, this paper investigates the causal configurations of IT ambidexterity, dynamic capabilities, and environmental uncertainty that are associated to service innovation performance in SMEs. Results from a qualitative comparative analysis (QCA) of 63 industrial service SMEs show that these firms attain service innovation performance when they dispose of an IT capability for exploration, accompanied by an IT capability for exploitation in one configuration, whereas the IT capability for exploitation is absent in other configurations. These results also support the implications of the configurational approach: different configurations of the three elements equally lead to service innovation performance, the same element can both enable or inhibit service innovation performance, configurations leading to the outcome are different than those leading to its absence, and configurations might show different permutations of peripheral conditions. Such results are discussed in light of the current literature and implications for research and practice are explained.
Investigating the Use Profile of Kigelia africana (Lam.) Benth. through Market Survey in Benin.

The aim was to gather ethnobotanical knowledge on Kigelia africana in Benin where it is widely used in traditional medicine but receives little attention and recently recorded as threatened. A semi-structured questionnaire served to collect data from herbal traders. Thirty-six percent of respondents obtained parts of the species by purchase in their own markets and by travelling far. The same proportion travel very far before buying parts. None mentioned harvesting parts from wild populations. A high proportion of informants sold fruits and bark whereas a relatively low proportion of them sold fruits, bark and leaves. Bark was recorded as most sold followed by fruits. Respondents mostly confirmed the species scarcity. Thirteen diseases and disorders were recorded and the majority of traders mentioned the use of bark in treating stomach infections and gynecological disorders. Fruits were mainly used in magic rituals and stomach infections treatment. Five preparations were recorded and 54% of traders mentioned bark decoctions, 27% highlighted infusion of fruits in water. Kigelia africana is important in local ethnomedicine; harvesting and trade of its parts are threats and urgent conservation tools are needed.
Non-axisymmetric component of the photospheric magnetic field

The longitudinal asymmetry of the photospheric magnetic field distribution is studied on the basis of the data of the Kitt Peak National Solar Observatory (synoptic maps for the period 1976 - 2016). The method of vector summing of magnetic fields is used, which allows to decrease the influence of the stochastic components uniformly distributed over the whole longitude interval, and to stress a steady non-axisymmetric component of the field. The distributions of magnetic fields of different intensity are considered separately for the strong (B > 50 G), weak (B B > 5 G) fields. It is shown that the longitudinal asymmetry for all groups of fields changes in phase with the 11-year cycle of solar activity. The asymmetry of strong and medium fields changes in phase with magnetic fluxes of these fields, while the asymmetry of weak fields is in antiphase with the flux of weak fields. The distributions of strong and medium magnetic fields over the longitude are similar in the shape: The maximum of distribution is located at the longitude ~180° during the period of ascent - maximum of solar cycle and at the longitude ~360° during the period of descent - minimum. The weak fields exhibit the opposite picture: the maximum of their distribution is always observed at the longitude, where the strong and medium fields show minimum.
Estimation of Monge Matrices

Monge matrices and their permuted versions known as pre-Monge matrices naturally appear in many domains across science and engineering. While the rich structural properties of such matrices have long been leveraged for algorithmic purposes, little is known about their impact on statistical estimation. In this work, we propose to view this structure as a shape constraint and study the problem of estimating a Monge matrix subject to additive random noise. More specifically, we establish the minimax rates of estimation of Monge and pre-Monge matrices. In the case of pre-Monge matrices, the minimax-optimal least-squares estimator is not efficiently computable, and we propose two efficient estimators and establish their rates of convergence. Our theoretical findings are supported by numerical experiments.