Miracle-dz/UniFAR-FTUs huggingface dataset:
Multigranularity Building Energy Consumption Prediction Method Based on Convolutional Recurrent Neural Network

For the building energy consumption models with complex scale sensitivity, it is difficult to achieve ideal prediction effect with single-granularity prediction model. Therefore, this paper proposed a multigranularity MgHa-LSTM model based on convolutional recurrent neural network, including a multigranularity feature extraction module and a long-term dependency capture module. Multigranularity feature extraction included granularity segmentation, feedback mechanism, and parallel convolutional modules, which can capture short-term scale sensitivity dependencies. Long-term dependency capture consists of a hybrid attention mechanism and long-short term memory layers, which are able to capture long-term dependencies. For building energy consumption patterns with different scale sensitivity, MgHa-LSTM, MLP, CNN, LSTM, and MsC-LSTM models were constructed on the IHEPC building energy consumption dataset used in this paper for comparative experiments. The experimental results showed that on the IHEPC dataset, the MSE of the building energy consumption prediction model is 0.2821 based on the MgHa-LSTM model proposed in this paper, which is equivalent to 93.72% of the MsC-LSTM model with the smallest MSE among other deep learning prediction models. Compared with other deep learning prediction models, the prediction results of the MgHa-LSTM building energy consumption prediction model are more accurate.
Commercial and phytochemical quality in biofortified ‘Orejona’ lettuce with zinc oxide nanoparticles

Crop biofortification is a recent strategy based on the production of plants rich in micronutrients for human consumption. The biofortification of plants with minerals is considered one of the least expensive and most efficient ways to improve the commercial and nutritional quality of horticultural products, in addition to improving crop yields. The objective of the research was to evaluate commercial and phytochemical quality, physiological parameters, and zinc concentration in lettuce leaves (Lactuca sativa L.) after foliar application of zinc oxide nanoparticles (NPsZnO) produced under a hydroponic system. The experiment was carried out with six treatments (0, 5, 10, 15, 20, and 25 mg.L-1 NPsZnO) of five replicates each, under a completely randomized design. Five applications every 15 days of each concentration of NPsZnO were made through the crop cycle. The results show no statistical differences in physiological parameters (height, number of leaves, leaf size, crown perimeter, fresh and dry weight), but that do show a slight tendency to increase on the treated lettuce mainly at concentrations of 20 and 25 mg.L-1. A positive correlation was found between the phytochemical variables (phenolics and total flavonols) and the concentration of NPsZnO. Even though there was not a clear correlation between NPsZnO concentration and the variables of commercial quality; Zn content in the plant tissue was improved, thereby obtaining a biofortified product for the final consumer.
Designs for Variance Components Estimation: Past and Present

This article provides (1) a comprehensive coverage of the literature on designs for estimating variance components, and (2) a review of recent applications of such designs in genetics, statistical process control, and quality improvement. In addition, recent methods of estimation of variance components and model forms, other than the linear, are discussed. The latter developments have a direct effect on the choice of design. Some suggested ideas for future research directions are also given.
OPN Promotes Cell Proliferation and Invasion through NF-κB in Human Esophageal Squamous Cell Carcinoma

Background Osteopontin (OPN) is a phosphorylated glycoprotein. There is increasing evidence that the OPN gene played a major role in the progression of solid organ tumors. However, few studies have clarified how OPN regulated the functional role of human esophageal squamous cell carcinoma (ESCC). This study was designed to investigate the effect of OPN in esophageal squamous cell carcinoma. Methods First, we screened Eca-109 and KYSE-510 cells to construct OPN silencing and overexpression models. Endogenous OPN of Eca-109 and KYSE-510 were knocked down or overexpressed using small interfering RNAs. QRT-PCR, Western blot, flow cytometry, and CCK-8 were used to detect the function of Eca-109 and KYSE-510 cells. Tumor formation in nude mice was used to measure tumor growth after OPN inhibition. Results Eca-109 and KYSE-510 cells contain the si-OPN arrest cell cycle in the S-phase and increase apoptosis. These changes were OPN downregulation of the NF-κB pathway that significantly reduced the protein levels of TNF-α, IL-1β, and p-p65. However, the activity of Eca-109 and KYSE-510 cells was enhanced in OPN overexpressing cells. Then, the in vivo tumor formation experiment in nude mice showed that the tumor volume and weight of nude mice after silencing OPN were significantly reduced. Conclusion This study contributed to understanding the vital role of OPN in ESCC development and progression. This could be a promising molecular target for developing new ESCC diagnostic and therapeutic strategies.
Role of orbital symmetry in high-order harmonic generation from aligned molecules

High-order harmonic generation has been explored theoretically and experimentally in ${\text{CO}}_{2}$, a linear molecule characterized by doubly antisymmetric highest-occupied molecular orbitals. For the first time to our knowledge, the high-harmonic yield is studied as a function of the angle between the molecular axis and the polarization direction. A minimum yield is found at $0\ifmmode^\circ\else\textdegree\fi{}$ for all harmonics, which constitutes evidence for destructively interfering terms in the ionization probability amplitude playing an important role in strong-field phenomena in molecules. The maximum yield is always found at intermediate angles, but the detailed behavior is harmonic specific. Numerical simulations reproduce the main features observed in the experiment.
Journal of Quantitative Analysis in Sports Univariate and Multivariate Autoregressive Time Series Models of Offensive Baseball Performance : 1901-2005

This paper sets out to estimate univariate time series models on a selected set of offensive baseball measures from 1901 to 2005. The measures include homeruns, bases on balls, runs batted in, doubles, and stolen bases. The paper next estimates the trends in these statistics simultaneously using a vector autoregressive time series model. Along the way, tests of assumptions underlying the time-series models are provided. Univariate time series results suggest that simple lag--1 models fit these offensive statistics quite well. The multivariate results show that a simple lag--1 vector autoregressive model also fits quite well. The results of the vector time series model indicate that most statistics are strongly predicted by their prior values. However, certain temporal dependencies among baseball measures are observed, suggesting the importance of examining covariation in baseball data over time.
Sunyaev–Zel'dovich fluctuations in the cold dark matter scenario

Calcul des fluctuations en temperature dans le rayonnement de fond microonde par le gaz chaud confine par les puits de potentiel de matiere sombre a travers l'effet Sunyaev-Zel'dovich. On montre que les fluctuations devraient etre dominees par les amas massifs rares a redshifts moderes. Les fluctuations (ΔT/T) rms sont calculees comme fonctions de l'echelle angulaire et l'accroissement du a l'agencement des amas est quantifie. Des cartes simulees du ciel, montrant le caractere non Gaussien des fluctuations sont produites et la fonction de distribution pour les fluctuations en est deduite
A system of integro-differential-difference equations in risk theory, using compound birth-death processes

Abstract We model the inforce process of an insurance concern as a birth-death process operating in a finite and constant population of insurable risks. These risks are assumed to be homogeneous. Upon the expiry of an insured risk a positive claim occurs. This claim is random in size and results in an out-flow of capital from the risk reserve. By using the Chapman-Kolmogorov backward equations we develop a system of integro-differential-difference equations for the probability of non-ruin in a finite time interval. Conditions for the existence of solutions to this system of equations are investigated.
Association between maternal dietary intake classified according to its degree of processing and sex-specific birth weight for gestational age

ABSTRACT Objective To assess the association between the maternal diet, according to the degree of processing of food consumption, and birth weight for gestational age and sex. Methods A cross-sectional study with 300 women was conducted from February 2009 to 2011 from a maternity ward in Mesquita, Rio de Janeiro. The outcome was based on sex-specific birth weight for gestational age: small, adequate, or large. A validated food frequency questionnaire was used to estimate the food consumption during the 2nd and 3rd trimesters of pregnancy. The food intake was classified into three groups according to the degree of processing: 1) unprocessed or minimally processed foods and culinary ingredients (oil, fats, salt, and sugar), 2) processed foods, and 3) ultra-processed foods. Descriptive analyses were made to assess the tertiles of the percentage of energy intake of each food group on the outcome and on maternal and infant characteristics. Multinomial logistic regressions were used to test the association of the tertiles of food according to the degree of processing on the outcome (adequate, small, or large birth weight for gestational age and sex). Results The analysis of the food frequency questionnaire from the 300 women indicated that the mean percentage of kcal consumed from unprocessed and minimally processed food and culinary ingredients was 54.0%, while the percentages of energy from processed foods and ultra-processed foods were 2.0% and 44.0%, respectively. The highest tertile of consumption of unprocessed and minimally processed food and culinary ingredients had a protective effect on the prevalence of newborn large for gestational weight in relation to the lowest (OR: 0.13; 95% IC: 0.02 to 0.89; p=0.04). Conclusion High consumption of unprocessed and minimally processed food and culinary ingredients during the last six months of pregnancy might be a protective factor against having a newborn large for gestational weight when compared to mothers with the lowest consumption.
Constraints of the Kadomtsev-Petviashvili hierarchy

For the Kadomtsev–Petviashvili (KP) hierarchy constructed in terms of the famous Sato theory, a ‘‘k constraint’’ is proposed that leads the hierarchy to the nonlinear system involving a finite number of dynamical coordinates. The eigenvalue problem of the k‐constrained system is naturally obtained from the linear system of the KP hierarchy, which takes the form of kth‐order polynomial coupled with a first‐order one, thus we are able to derive the correspondent Lax pair, recursion operator, bi‐Hamiltonian structures, and conserved quantities. The constraints for the BKP hierarchy are also sketched.
Charging Station Management Strategy for Returns Maximization via Improved TD3 Deep Reinforcement Learning

Maximizing the return on electric vehicle charging station (EVCS) operation helps to expand the EVCS, thus expanding the EV (electric vehicle) stock and better addressing climate change. However, in the face of dynamic regulation scenarios with large data, multiple variables, and low time scales, the existing regulation strategies aiming at maximizing EVCS returns many times fail to meet the demand. To handle increasingly complex regulation scenarios, a deep reinforcement learning algorithm (DRL) based on the improved twin delayed deep deterministic policy gradient (TD3) is used to construct basic energy management strategies in this paper. To enable the strategy to be more suitable for the goal of real-time energy regulation strategy, we used Thompson sampling strategy to improve TD3’s exploration noise sampling strategy, which greatly accelerated the initial convergence of TD3 during training. Also, we use marginalised importance sampling to calculate the Q-return function for TD3, which ensures that the constructed strategies are more likely to learn high-value experiences while having higher robustness. It is shown in numerical experiments that the charging station management strategy (CSMS) based on the modified TD3 obtains the fastest convergence speed and the highest robustness and achieves the largest operational returns compared to the CSMS constructed using deep deterministic policy gradient (DDPG), actor-critic using Kronecker-factored trust region (ACKTR), trust region policy optimization (TRPO), proximal policy optimization (PPO), soft actor-critic (SAC), and the original TD3.
Modes of vortex formation and frequency response of a freely vibrating cylinder

In this paper, we study the transverse vortex-induced vibrations of an elastically mounted rigid cylinder in a fluid flow. We use simultaneous force, displacement and vorticity measurements (using DPIV) for the first time in free vibrations. There exist two distinct types of response in such systems, depending on whether one has a high or low combined mass–damping parameter (m*ζ). In the classical high-(m*ζ) case, an ‘initial’ and ‘lower’ amplitude branch are separated by a discontinuous mode transition, whereas in the case of low (m*ζ), a further higher-amplitude ‘upper’ branch of response appears, and there exist two mode transitions. To understand the existence of more than one mode transition for low (m*ζ), we employ two distinct formulations of the equation of motion, one of which uses the ‘total force’, while the other uses the ‘vortex force’, which is related only to the dynamics of vorticity. The first mode transition involves a jump in ‘vortex phase’ (between vortex force and displacement), ϕvortex, at which point the frequency of oscillation (f) passes through the natural frequency of the system in the fluid, f ∼ fNwater. This transition is associated with a jump between 2S [harr ] 2P vortex wake modes, and a corresponding switch in vortex shedding timing. Across the second mode transition, there is a jump in ‘total phase’, phis;total , at which point f ∼ fNvacuum. In this case, there is no jump in ϕvortex, since both branches are associated with the 2P mode, and there is therefore no switch in timing of shedding, contrary to previous assumptions. Interestingly, for the high-(m*ζ) case, the vibration frequency jumps across both fNwater and fNvacuum, corresponding to the simultaneous jumps in ϕvortex and ϕtotal. This causes a switch in the timing of shedding, coincident with the ‘total phase’ jump, in agreement with previous assumptions. For large mass ratios, m* = O(100), the vibration frequency for synchronization lies close to the natural frequency (f* = f/fN ≈ 1.0), but as mass is reduced to m* = O(1), f* can reach remarkably large values. We deduce an expression for the frequency of the lower-branch vibration, as follows: formula here which agrees very well with a wide set of experimental data. This frequency equation uncovers the existence of a critical mass ratio, where the frequency f* becomes large: m*crit = 0.54. When m* < m*crit, the lower branch can never be reached and it ceases to exist. The upper-branch large-amplitude vibrations persist for all velocities, no matter how high, and the frequency increases indefinitely with flow velocity. Experiments at m* < m*crit show that the upper-branch vibrations continue to the limits (in flow speed) of our facility.
Analysis of the Relationship Between Corporate Social Responsibility and Good Corporate Governance on Fee Audit and Firm Value

Purpose : This study aims to determine whether Corporate Social Responsibility (CSR) and Good Corporate Governance (GCG) affect audit costs and firm value, and to analyze the mediation relationship between audit costs and firm value. Design/methodology/approach : Data collection through this case is on companies in Indonesia that are listed on the Corporate Governance Perception Index (CGPI) between 2016 and 2018 with 33 firmyears observations. Findings: The results of the path analysis show that CSR has no effect on audit costs, CSR programs carried out and disclosed by the company are not included in the client's business audit by the auditor. The size of the CSR disclosure cannot affect the audit fee. Even though GCG has a positive effect on audit fees, companies with high CGPI scores can pay more audit fees because they have higher financial standards, so they choose the Big four KAP that are more integrated and have quality. Meanwhile, CSR and audit fees do not affect firm value. However, GCG has a significant negative effect on firm value. The analysis of the effect of mediation shows that audit fees cannot mediate between CSR and GCG on firm value. Research limitations/implications: Overall, the audit fee cannot reflect the company's risk which is taken into consideration in making investment decisions. This happens because in investment decisions, investors look more at short-term profits such as daily stock prices and profitability. Practical implications : This research can provide important implications for management and regulators, namely as an alternative in making investment decisions that can increase firm value. Paper type: This research is a development research that tries to analyze the indirect effect, so that researchers have a little difficulty determining the theories used to link the interplay of components that influence each other, so researchers must make an opinion to strengthen this research.
Chopping techniques for low-frequency nanotesla spin-dependent tunneling field sensors

Three chopping techniques to address 1/f noise in spin-dependent tunneling magnetoresistive sensors are investigated. These include modulation of the sensitivity using orthogonal fields, modulation, and second-harmonic generation using the nonlinear response of the magnetoresistive element and modulation of the flux concentrator permeability. Of these, only the second technique resulted in a slight reduction in low-frequency noise. In order to achieve significant noise reduction by chopping, domain noise will have to be reduced.
Recent (2018–2021) glaciological, hydrological and geomorphological landscape changes of Hailuogou Glacier tongue, southeastern Tibetan Plateau

ABSTRACT Glaciers in the Tibetan Plateau are melting at an unprecedented recently rate in the context of global warming. Time-sequenced landform mapping for the Hailuogou Glacier, a partly debris-covered glacier in the southeastern Tibetan Plateau, shows the detailed evolution of glacier changes as the ice recedes. This study presents four maps of the Hailuogou Glacier tongue, a partly debris-covered glacier in the southeastern Tibetan Plateau, documenting the spatial evolution of glaciological, hydrological, and geomorphological features from 2018 to 2021. Structure from Motion with Multiview Stereo software was applied to images captured by from uncrewed aerial vehicles were used to produce digital surface models and orthophoto mosaics. These datasets were used, and then to identify and map the features based on pre-defined mapping criteria. From 2018 to 2021, the glacier underwent continuous recession, with the terminus retreating, intense crevassing in the lower part of the ablation zone, and continuous expansion of the terminal disintegration area. The recent evolution of the glacier implies that the gradual disintegration of the lower glacier tongue is likely to be exacerbated over the next decades by the continuous climate warming.
‘Why is survival with triple negative breast cancer so low? insights and talking points from preclinical and clinical research’

ABSTRACT Introduction Triple negative breast cancer is typically related to poor prognosis, early metastasis, and high recurrence rate. Intrinsic and extrinsic biological features of TNBC and resistance mechanisms to conventional therapies can support its aggressive behavior, characterizing TNBC how extremely heterogeneous. Novel combination strategies are under investigation, including immunotherapeutic agents, anti-drug conjugates, PARP inhibitors, and various targeting agents, exploring, in the meanwhile, possible predictive biomarkers to correctly select patients for the optimal treatment for their specific subtype. Areas covered This article examines the main malignity characteristics across different subtype, both histological and molecular, and the resistance mechanisms, both primary and acquired, to different drugs explored in the landscape of TNBC treatment, that lead TNBC to still has high mortality rate. Expert opinion The complexity of TNBC is not only the main reason of its aggressivity, but its heterogeneity should be exploited in terms of therapeutics opportunities, combining agents with different mechanism of action, after a correct selection by biologic or molecular biomarkers. The main goal is to understand what TNBC really is and to act selectively on its characteristics, with a personalized anticancer treatment.
On-chip targeted single cell sonoporation with microbubble destruction excited by surface acoustic waves

We demonstrate that a surface acoustic wave at tens of megahertz frequency is capable of inducing microbubble cluster destruction at a desired location to achieve a single cell's reparable sonoporation. By controlling the position of the microbubble cluster relative to the targeted cell precisely, the effective size of the collapsing microbubbles is measured to be less than 0.68 times the diameter of microbubble cluster. Furthermore, the sonoporation efficiency and the cell viability are 82.4% ± 6.5% and 90% ± 8.7%, respectively, when the targeted cell is within the effective microbubble destruction region.
HIV‐associated Burkitt lymphoma in the combination antiretroviral therapy era: Real‐world outcomes and prognostication

We performed a retrospective study to analyze the clinical characteristics and outcomes of human immunodeficiency virus–associated Burkitt's lymphoma in Chongqing University Cancer Hospital, southwest China, from March 2012 to February 2022. In the entire cohort, the median age was 36 years (range, 28–60 years), and more patients were male (82.4%). The median CD4+ T cell count was 214/μl (range, 54–601), of whom 47.1% had a CD4+ T cell count below 200/μl. Most patients had elevated lactate dehydrogenase (LDH), elevated β2‐MG, extranodal involvement and advanced Ann Arbor stage at diagnosis. With a median follow‐up of 11.5 months (range, 1.6–94.9 months), the overall 1‐year progression‐free survival and overall survival (OS) rates were 27.6% and 47.6%, respectively. The 1‐year OS times in the LDH < 3 upper limit of normal and LDH ≥ 3 upper limit of normal groups were 62.5% and 31.3%, respectively (p = 0.008). The 1‐year OS times in the received <4 cycles and ≥4 cycles groups were 0% and 77.8%, respectively (p < 0.001). These results demonstrated that LDH < 3 upper limit of normal and received ≥4 cycles of chemotherapy were significantly associated with improved outcomes. However, rituximab administration was not significantly associated with improved outcomes.