Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal time-and-level-of-use price setting for an energy retailer

This paper presents a novel price setting optimization problem for an energy retailer in the smart grid. In this framework the retailer buys energy from multiple generators via bilateral contracts, and sells it to a population of smart homes using Time-and-Level-of-Use prices (TLOU). TLOU is an energy price structure recently introduced in the literature, where the prices vary depending on the time and the level of consumption. This problem is formulated as a bilevel optimization problem, in which the energy retailer wants to set the prices that maximize the profit, anticipating the reaction of a population that wants to minimize the total cost. We explicitly consider the users load shifting preferences, their shifting decisions, and the level of consumption in the definition of the price structure. The optimization problem is reformulated as a single-level problem to be solved by off-the-shelf solvers. Computational experiments validate the performance of TLOU and show that the retailer’s economical benefit is enhanced through the implementation of this type of demand response program, while providing savings for the consumers.
Towards a Naming Quality Model

Having highly maintainable software decreases the time spent on development. Although various research eﬀorts show that the names of identiﬁers play a large role in the readability and maintainability of code, code quality assessments often do not take these names into account. Although developers can usually quickly assess the quality of a name, the abstract nature of names makes a fully automated assessment diﬃcult. This research investigates the creation of a general naming quality model. Our proposed model assesses: a) the syntactic quality of Java method names, b) how well a method body matches its name semantically. We assess this using 1) a set of guidelines from literature, 2) a machine learning algorithm trained on AST representations of method bodies. Initial results show that the combination of a rule-based approach and a deep learning model can correctly indicate what names need attention. By inspecting the names ﬂagged as a violation by both approaches we found that the combination of syntactic and semantic information yields better results than either of them by themselves. Further validation experiments on a Github commit dataset show that the model can distinguish between good
Research on the Relationship between the Competitiveness of High-tech Enterprises and Enterprise Value

Since the 1980s, enterprise management has entered the stage of value management with the goal of maximizing enterprise value. In order to achieve the goal of maximizing value, companies must compete. Therefore, how to continuously enhance the competitiveness of enterprises to maximize the value of enterprises is a major issue that enterprise managers must seriously consider. Based on whether it shows competitive advantage, this paper divides enterprise competitiveness into revealed competitiveness and dynamic capabilities. By constructing multiple linear regression models, we study the impact of revealed competitiveness and dynamic capabilities on enterprise value. The empirical results show that both revealed competitiveness and dynamic capabilities can positively affect enterprise value, but environmental dynamism will weaken the impact of both on enterprise value. Keywords—Enterprise competitiveness; enterprise value; dynamic capabilities; environmental dynamism
The association of long non-coding RNA TCF7 with tumor features, prognosis, cell proliferation and stemness in gastric cancer

This study aimed to evaluate the correlation of long non-coding RNA transcription factor 7 (lnc-TCF7) with the clinicopathological features and survivals in gastric cancer (GC) patients as well as the effect of its knockdown on GC cell proliferation and stemness. Lnc-TCF7 expression in tumor tissues from 236 GC patients and adjacent tissues from 120 GC patients were detected by RT-qPCR. Patients’ clinicopathological properties were reviewed. Meanwhile, disease free survival (DFS) and overall survival (OS) were calculated. In vitro, the effect of lnc-TCF7 knockdown on GC cell proliferation and stemness was measured by lnc-TCF7 shRNA lentivirus transfection into AGS cells. Lnc-TCF7 expression was increased in tumor tissues compared with adjacent tissues, and its high expression was correlated with advanced pathological grade, larger tumor size, higher T stage and TNM stage in GC patients. Besides, lnc-TCF7 high expression predicted worse DFS and OS in GC patients. in vitro, lnc-TCF7 was upregulated in GC cell lines (HGC-27, AGS and BGC-823) compared with human normal gastric mucosal cell line (GSE-1), and lncTCF7 knockdown suppressed cell proliferation, CD44 and CD133 expressions, CD44+CD133+ cell proportion, drug resistance to 5-fluorouracil and sphere formation efficiency in AGS cells. Lnc-TCF7 is upregulated and associates with advanced tumor features as well as poor prognosis, and its knockdown suppresses cancer cell proliferation and stemness in GC.
Rapid and Fast-Release Acetaminophen Gelcaps Dissolve Slower Than Acetaminophen Tablets

The dissolution properties of oral medicinal drugs are affected by formulation and used to market over-the-counter medications. Acetaminophen is one of the most commonly used over-the-counter pain and fever-reducing medications with an estimated global yearly market value of over $350 million US dollars [1]. Acetominophen gelcaps are, in general, sold at higher prices than companymatched standard tablets. Standard acetaminophen tablets and rapid or fast-release gelcaps from five major US companies were analyzed using the industry standard test for dissolution. Results indicate that acetaminophen gelcaps marketed as rapid or fast-release are slower acting under in vitro dissolution conditions compared to the company-matched tablet dose.
Applications of Spatially Localized Active-Intensity Vectors for Sound-Field visualization

The purpose of this article is to detail and evaluate three alternative approaches to soundfield visualization, which all employ the use of spatially localized active-intensity (SLAI) vectors. These SLAI vectors are of particular interest, as they allow direction-of-arrival (DoA) estimates to be extracted in multiple spatially localized sectors, such that a sound source present in one sector has reduced influence on the DoA estimate made in another sector. These DoA estimates may be used to visualize the sound-field by either: (I) directly depicting the estimates as icons, with their relative size dictated by the corresponding energy of each sector; (II) generating traditional activity maps via histogram analysis of the DoA estimates; or (III) by using the DoA estimates to reassign energy and subsequently sharpen traditional beamformer-based activity maps. Since the SLAI-based DoA estimates are continuous, these approaches are inherently computationally efficient, as they forego the need for dense scanning grids to attain high-resolution imaging. Simulation results also show that these SLAI-based alternatives outperform traditional active-intensity and beamformer-based approaches, for the majority of cases.
Responsibility in the age of DOHaD and epigenetics

Insights from the Developmental Origins of Health and Disease paradigm and epigenetics are elucidating the biological pathways through which social and environmental signals affect human health. These insights prompt a serious debate about how the structure of society affects health and what the responsibility of society is to counteract health inequalities. Unfortunately, oversimplified interpretations of insights from Developmental Origins of Health and Disease and epigenetics may be (mis)used to focus on the importance of individual responsibility for health rather than the social responsibility for health. In order to advance the debate on responsibility for health, we present an ethical framework to determine the social responsibility to counteract health inequalities. This is particularly important in a time where individual responsibility often justifies a passive response from policymakers.
THE EFFECTS OF (CB) NANOPARTICLES ADDITIVE ON DIELECTRIC AND AC ELECTRICAL CONDUCTIVITY OF (PEO) THIN FILM

AC electrical properties were studied using the AC impedance technique. The electrical properties of thin films made of poly (ethylene oxide) (PEO) dispersed with dopants fixed amount of carbon black (0.1wt. %) were used in this study. The prepared films by casting method have been electrically. The present study has studying the variation of AC electrical conductivity with frequency in the range (3 kHz 5 MHz) for PEO with doped 0.1wt. % carbon black as compared to that case of the un doped PEO film, and determined of some physical quantities and parameters as AC conductivity, impedance, dielectric constant. The observed values of the impedance (Z), dielectric constant ('), dielectric loss ("), and AC-conductivity (σAC) showed frequency and temperature. It was found that the dielectric constant and dielectric loss of the prepared thin films increase with doped (0.1wt. %) carbon black (CB) complexes and that it decrease with frequency according to polarization processes. The AC conductivity increases with doped carbon black, temperature and frequency.
CENTRE FOR STOCHASTIC GEOMETRY AND ADVANCED BIOIMAGING

In the present paper we develop several two-step estimation procedures for inhomogeneous shot-noise Cox processes. The intensity function is parametrized by the inhomogeneity parameters while the pair-correlation function is parametrized by the interaction parameters. The suggested procedures are based on a combination of Poisson likelihood estimation of the inhomogeneity parameters in the first step and an adaptation of a method from the homogeneous case for estimation of the interaction parameters in the second step. The adapted methods, based on minimum contrast estimation, composite likelihood and Palm likelihood, are compared both theoretically and by means of a simulation study. Two-step estimation with Palm likelihood has not been considered before. Asymptotic normality of the two-step estimator with Palm likelihood is proved.
Indoor Top-k Keyword-aware Routing Query

People have many activities indoors and there is an increasing demand of keyword-aware route planning for indoor venues. In this paper, we study the indoor top-k keyword-aware routing query (IKRQ). Given two indoor points s and t, an IKRQ returns k s-to-t routes that do not exceed a given distance constraint but have optimal ranking scores integrating keyword relevance and spatial distance. It is challenging to efficiently compute the ranking scores and find the best yet diverse routes in a large indoor space with complex topology. We propose prime routes to diversify top-k routes, devise mapping structures to organize indoor keywords and compute route keyword relevances, and derive pruning rules to reduce search space in routing. With these techniques, we design two search algorithms with different routing expansions. Experiments on synthetic and real data demonstrate the efficiency of our proposals.
A Cooperative Interdisciplinary Task Intervention with Undergraduate Nursing and Computer Engineering Students

: This study proposed a collaborative methodology among university students in different grades in order to find sustainable strategies that are an added value for students, teachers, and society. In daily professional practice, different professionals must develop skills to collaborate and understand each other. For that reality to be sustainable, we believe that experiences must begin in the context of higher education. Social network analysis offers a new perspective on optimizing relationships between university students. The main goal of this study was to analyze students’ behavior in their networks following an educational intervention and the association with academic performance, resilience and engagement. This was a descriptive quasi-experimental study with pre–post measures of a cooperative interdisciplinary intervention. Participants comprised 50 nursing and computer engineering students. We measured help, friendship, and negative network centrality, engagement, resilience, and academic performance. No significant differences were observed between pre–post-intervention centrality measures in the negative network. However, the help and friendship networks presented statistically significant differences between inDegreeN, OutDegreeN and EigenvectorN on the one hand, and resilience and engagement—but not academic performance—on the other. Academic performance was solely associated with the team to which participants belonged. Cooperative interdisciplinary learning increased the number of ties and levels of prestige and influence among classmates. Further research is required in order to determine the influence of engagement and resilience on academic performance and the role of negative networks in network formation in education. This study provides important information for proposals on sustainable assessments in the field of higher education.
Assessment of the Dependence of Renewable Penetration Level in a Weakly Connected System on Available Control and Defence Systems

The integration of non-dispatchable renewable energy sources (RES) poses serious challenges to power system planning and operation. At system level, a major issue regards the short and long-term frequency stability due to the reduction of regulating reserve margins, in turn brought about by the displacement of conventional generation and lack of contribution by the RES. This problem is especially present in isolated or weakly connected systems, and may become the limiting factor for renewable penetration. The paper proposes a fast algorithm to quantify the benefits of advanced control, protection and defense systems in increasing RES penetration in weakly connected power systems. In fact, advanced solutions relying on both system design and operating measures may be of paramount importance to allow the secure integration of more RES generation. The algorithm is tested on a 2020 scenario of the Sardinian power system and it is crossvalidated against time domain simulation.
ORR_A_204297 183..189

University of Health Sciences, Umraniye Education and Research Hospital, Department of Orthopaedics and Traumatology, Istanbul, Turkey Abstract: Most adults will experience low back pain during their lifetime, with most of these instances resolving or improving without sequelae in a few weeks. For the small number of patients with severe, recalcitrant pain, lumbar fusion may be required, particularly when concomitant leg pain or deformity is present. Lumbar interbody fusion surgery is the usual treatment for degenerative lumbar disease, but it requires a long recovery period. Many surgical techniques have been described in the literature for spondylolisthesis. The main objective is to create interbody fusion, decompression of normal structures and a stable vertebrae. TLIF surgical techniques has a long learning curve. Comorbidities of the patient may make surgery more difficult. Methods such as transforaminal lumbar interbody fusion (TLIF), posterior lumbar interbody fusion, anterior lumbar interbody fusion and lateral lumbar interbody fusion are also available for interbody fusion in the literatüre. The aim of this review is to show which patients are more suitable for TLIF surgery and to discuss the advantages and disadvantages of TLIF surgery over other techniques.
Gl ́oRí - the Glottal Research Instrument

This papers presents GlóRí - the glottal research instrument. GlóRí is a speech analysis interface which offers a ﬂexibility and multiplicity of approaches to voice analysis. The system allows for fully automatic processing, for instance for analysis of large corpora. However, for more ﬁne-grained studies, which may require precise voice source measurements, the systems facilitates manual optimisation of parameter settings. The present paper highlights the main features of the GlóRí system and provides illustrations of the usefulness of this approach.
Implication of b → cτν flavor anomalies on B s → D ∗ s τν decay observables

The experimental predictions of RD, RD∗ , RJ/ψ, P D∗ τ and F D∗ L in B decays mediated via b → c l ν quark level transition deviate significantly from the standard model expectations. The current world average of the ratio of branching ratios RD and RD∗ in B → D(∗) l ν (l ∈ e, τ) show 1. 4σ and 2. 5σ deviation from the SM expectations. Similarly, the τ polarization fraction P ∗ τ and the longitudinal polarization fraction of the D∗ meson F ∗ L in B → D∗ τ ν are found to deviate from the standard model expectations at 1. 6σ and 1. 5σ level, respectively. In addition, the ratio of branching ratio RJ/ψ in Bc → J/ψ l ν deviates from the standard model prediction at 2σ level. In this regard, we study the implication of RD, RD∗ , RJ/ψ, P D∗ τ , and F D∗ L anomalies on Bs → D∗ s τ ν decay observables in a model independent effective field theory formalism. We give predictions of several physical observables in the standard model and in the presence of various 1D and 2D new physics scenarios.
Resilience UNDeRStaNDING IN MILItaRY FaMILIeS and PROMOtING July

Understanding and Promoting Resilience in Military Families Introduction This review of scientific evidence about resilience in children and families was compiled at the request of the Office of Military Community and Family Policy in the United States Department of Defense. The purpose of the review is to examine research conducted in civilian and (where available) military settings that may provide insights about individual and family resilience in the face of events that might have impacts similar to deployment. Ultimately, such insights may provide guidance regarding strategies likely to prove successful in minimizing any negative effects of deployment on military families and children.
Appendix ii Name of the Herb Other Names Habitat Morphology Principal Constituents Achillea millefolium

This study was conducted to evaluate the ameliorative effect of Costus pictus D. Don. rhizome on mitochondrial enzymes in alcohol induced free radical toxicity male albino rats. Liver damage was induced in Wistar rats (150-200g) by administering alcohol (0.7ml/kg, orally) once daily for 7 days. CP (50mg/kg, orally) was given for 21 days. After 21 days treatment the selected enzymes such as Glucose–6–phosphate dehydrogenase (G-6PDH), Succinate dehydrogenase (SDH), Malate dehydrogenase (MDH), Glutamate dehydrogenase (GDH) and Lactate dehydrogenase (LDH) activities were assayed in the liver tissue. The activities of SDH, G-6-PDH, MDH and GDH were decreased and LDH activity was increased in alcohol treated rats, but with Costus pictus rhizome treatment in alcohol treated rats these mitochondrial enzymes restored to normal levels. These results suggest that mitochondrial enzyme activities were increased with Costus pictus rhizome treatment. We conclude that Costus pictus rhizome treatment is beneficial to improve the mitochondrial enzymes activities during alcohol induced free radical stress.
Physical processes , prey abundance , and the foraging ecology of seabirds

1 Department of Ecology and Evolutionary Biology, University of California, Irvine, 92697, USA, fax 949 824 2181, e-mail glhunt@uci.edu; 2 Norwegian Polar Institute, PO Box 5072 Majorstua, N-0301, Oslo, Norway; 3 Museum of Natural Science, Louisiana State University, Baton Rouge, LA 70803-3216, USA; 4 U.S. Fish and Wildlife Service, 1011 E. Tudor Road, Anchorage, AK 99503 USA; 5 Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge MD 21613-0775, USA; 6 Institut für Vogelforschung, An der Vogelwarte 21, D-26386 Wilhelmshaven, Germany.
Summarization Based on Hidden Topic Markov Model with Multi-Feature

Based on hidden topic markov model, the author eliminate assumption limitation in LDA (latent dirichlet allocation) to exploit the structure information during generating summary, and use multi-features based on document content to improve the summary quality. Furthermore, a method for developing single-document summarization to multi-document summarization without breaking document structure is proposed, to achieve the perfect automatic summarization system. Meanwhile, experiment results on the standard dataset DUC2007 show the advantage of HTMM and multi-feature. ROUGE values are improved by using HTMM and multi-document compared with those of LDA.
Periodic minimizers of a ternary non-local isoperimetric problem

We study a two-dimensional ternary inhibitory system derived as a sharp-interface limit of the Nakazawa-Ohta density functional theory of triblock copolymers. This free energy functional combines an interface energy favoring micro-domain growth with a Coulomb-type long range interaction energy which prevents micro-domains from unlimited spreading. Here we consider a limit in which two species are vanishingly small, but interactions are correspondingly large to maintain a nontrivial limit. In this limit two energy levels are distinguished: the highest order limit encodes information on the geometry of local structures as a two-component isoperimetric problem, while the second level describes the spatial distribution of components in global minimizers. We provide a sharp rigorous derivation of the asymptotic limit, both for minimizers and in the context of Gamma-convergence. Geometrical descriptions of limit configurations are derived; among other results, we will show that, quite unexpectedly, coexistence of single and double bubbles can arise. The main difficulties are hidden in the optimal solution of two-component isoperimetric problem: compared to binary systems, not only it lacks an explicit formula, but, more crucially, it can be neither concave nor convex on parts of its domain.
Factorization at Subleading Power and Endpoint-Divergent Convolutions in $h\to\gamma\gamma$ Decay

It is by now well known that, at subleading power in scale ratios, factorization theorems for high-energy cross sections and decay amplitudes contain endpoint-divergent convolution integrals. The presence of these divergences hints at a violation of simple scale separation, as a result of the so-called collinear anomaly. At the technical level, endpoint divergences indicate an unexpected failure of dimensional regularization and the $\bar{\rm MS}$ subtraction scheme. In this paper we start a comprehensive discussion of factorization at subleading power within the framework of soft-collinear effective theory. As a concrete example, we factorize the decay amplitude for the radiative Higgs-boson decay $h\to \gamma\gamma$ mediated by a $b$-quark loop, for which endpoint-divergent convolution integrals require both dimensional and rapidity regulators. We derive a factorization theorem for the decay amplitude in terms of bare Wilson coefficients and operator matrix elements. We show that endpoint divergences caused by rapidity divergences cancel to all orders in perturbation theory, while endpoint divergences that are regularized dimensionally can be removed by rearranging the terms in the factorization theorem. We use our result to resum the leading double-logarithmic corrections of order $\alpha_s^n\ln^{2n+2}(-M_h^2/m_b^2)$ to all orders of perturbation theory.
Log Barriers for Safe Non-convex Black-box Optimization

We address the problem of minimizing a smooth function $f^0(x)$ over a compact set $D$ defined by smooth functional constraints $f^i(x)\leq 0,~ i = 1,\ldots, m$ given noisy value measurements of $f^i(x)$. This problem arises in safety-critical applications, where certain parameters need to be adapted online in a data-driven fashion, such as in personalized medicine, robotics, manufacturing, etc. In such cases, it is important to ensure constraints are not violated while taking measurements and seeking the minimum of the cost function. We propose a new algorithm s0-LBM, which provides provably feasible iterates with high probability and applies to the challenging case of uncertain zero-th order oracle. We also analyze the convergence rate of the algorithm, and empirically demonstrate its effectiveness.