Miracle-dz/UniFAR-FTUs huggingface dataset:
Local Liver Irradiation Concurrently Versus Sequentially with Cabozantinib on the Pharmacokinetics and Biodistribution in Rats

The aim of this study was to evaluate the radiotherapy (RT)-pharmacokinetics (PK) effect of cabozantinib in concurrent or sequential regimens with external beam radiotherapy (EBRT) or stereotactic body radiation therapy (SBRT). Concurrent and sequential regimens involving RT and cabozantinib were designed. The RT–drug interactions of cabozantinib under RT were confirmed in a free-moving rat model. The drugs were separated on an Agilent ZORBAX SB-phenyl column with a mobile phase consisting of 10 mM potassium dihydrogen phosphate (KH2PO4)–methanol solution (27:73, v/v) for cabozantinib. There were no statistically significant differences in the concentration versus time curve of cabozantinib (AUCcabozantinib) between the control group and the RT2Gy×3 f’x and RT9Gy×3 f’x groups in the concurrent and the sequential regimens. However, compared to those in the control group, the Tmax, T1/2 and MRT decreased by 72.8% (p = 0.04), 49.0% (p = 0.04) and 48.5% (p = 0.04) with RT2Gy×3 f’x in the concurrent regimen, respectively. Additionally, the T1/2 and MRT decreased by 58.8% (p = 0.01) and 57.8% (p = 0.01) in the concurrent RT9Gy×3 f’x group when compared with the control group, respectively. The biodistribution of cabozantinib in the heart increased by 271.4% (p = 0.04) and 120.0% (p = 0.04) with RT2Gy×3 f’x in the concurrent and sequential regimens compared to the concurrent regimen, respectively. Additionally, the biodistribution of cabozantinib in the heart increased by 107.1% (p = 0.01) with the RT9Gy×3 f’x sequential regimen. Compared to the RT9Gy×3 f’x concurrent regimen, the RT9Gy×3 f’x sequential regimen increased the biodistribution of cabozantinib in the heart (81.3%, p = 0.02), liver (110.5%, p = 0.02), lung (125%, p = 0.004) and kidneys (87.5%, p = 0.048). No cabozantinib was detected in the brain in any of the groups. The AUC of cabozantinib is not modulated by irradiation and is not affected by treatment strategies. However, the biodistribution of cabozantinib in the heart is modulated by off-target irradiation and SBRT doses simultaneously. The impact of the biodistribution of cabozantinib with RT9Gy×3 f’x is more significant with the sequential regimen than with the concurrent regimen.
Analytical approach to relate evapotranspiration, canopyatmosphere coupling level, and water deficit sensitivity

The decoupling factor (Ω) reflects the leading mechanisms responsible for canopy transpiration and allows to know the relevance of the control of stomatal or canopy conductance on transpiration (T). The Ω is strongly dependent on water availability and can be a good approach to describe how plants minimize excessive water loss by increasing the dominance of biotic factors that controls evapotranspiration under water deficit conditions. We provided an overview of how the Ω concept can be broadly used and applied for studying the sensitivity of evapotranspiration and water conservation potential of canopies under water deficit conditions. A decoupling condition indicates that, under water deficit, the increase of canopy resistance will not have control over the transpiration. Therefore, a structural context of the canopy in which predominantly uncoupled regions will have a lower capacity to reduce evapotranspiration and avoid water losses. Furthermore, because of the water deficit, stomatal closure restricts photosynthesis more than transpiration, and water use efficiency can be lower in decoupled canopies compared to more coupled ones. Yet, we summarized the characteristics that depict structural context predisposing coupled or decoupled conditions that can indicate the capacity of canopy/crop to reduce excessive water losses and maintain a high assimilation/transpiration relation under water deficit.
Negative affect and respiratory sinus arrhythmia are differentially related to social anxiety and autism features in autistic preschoolers contrasted to fragile X syndrome

Introduction Autism spectrum disorder (ASD) is a highly heterogeneous and complex disorder with co-occurring disorders commonplace. This presents tremendous diagnostic challenges given the phenotypic overlap between autism and other diagnoses, including social anxiety, as well as variance in specific genetic disorders like fragile X syndrome (FXS). Biobehavioral measurement approaches integrate behavioral and biological data, and by so doing have the potential to address diagnostic challenges and shed light on the mechanisms underlying social impairments. Methods The present study utilized a biobehavioral approach to evaluate how biologically based indices of baseline respiratory sinus arrhythmia (RSA) and temperamental negative affect differ and predict autism and anxiety in a sample of 120 preschoolers with non-syndromic autism (nsASD) with co-occurring intellectual impairment, FXS, and neurotypical (NT) development. Results Results indicated that children with nsASD display elevated negative affect compared to both FXS and NT controls which did not differ from each other and females exhibited more negative affect relative to males. Interestingly, elevated negative affect predicted social anxiety, but not ASD in FXS. Baseline RSA did not differ across the groups; however, reduced RSA predicted elevated autism severity for the nsASD group but not those with FXS or NT development. Discussion Taken together, biobehavioral markers differentiated the groups in discrete ways that advance our understanding of autism and promote improved diagnostic clarity using objective measurement.
A Proactive Self-Adaptation Approach for Software Systems based on Environment-Aware Model Predictive Control

Modern software systems need to maintain their goals in a highly dynamic environment, which requires self-adaptation. Many existing self-adaptive approaches are reactive, they execute the adaptation behavior after the goal violation. However, proactive adaptation can adapt before the goal violation to avoid adverse consequence so it has attracted more and more attention. Model predictive control is a widely used method to implement proactive adaptation. However, these works often ignore uncertainty of environment, which makes the prediction of the system inaccurate and affect the control effectiveness. Therefore, we propose an environment-aware model predictive control method. Its main idea is to add the environment state to the system model, predict the future state of the system according to the predicted environment state and the current state of the system, and solve the optimal control strategy. We use a web application simulation platform to evaluate our method. The results show that our method can achieve better adaptation results and reduce the occurrence of goal violation.
Molecular Typing of Mastadenoviruses in Simultaneously Collected Nasopharyngeal Swabs and Stool Samples from Children Hospitalized for Acute Bronchiolitis, Acute Gastroenteritis, and Febrile Seizures

This study determines and compares the frequency of human mastadenovirus (HAdV) presence in children with acute bronchiolitis (AB), acute gastroenteritis (AGE), and febrile seizures (FS), ascertains types of HAdVs associated with each individual syndrome and contrasts the findings with a control group of children. The presence of HAdVs was ascertained in simultaneously collected nasopharyngeal (NP) swabs and stool samples amplifying the hexon gene by RT-PCR; these were sequenced to determine the types of HAdVs. HAdVs were grouped into eight different genotypes. Of these, three (F40, F41, and A31) were found solely in stool samples, whereas the others (B3, C1, C2, C5, and C6) were found in both stool samples and NP swabs. The most common genotypes in NP swabs were C2 (found in children with AGE and FS) and C1 (only in children with FS), whereas in stool samples genotypes F41 (in children with AGE) and C2 (in children with AGE and FS) prevailed, and C2 was simultaneously present in both samples. HAdVs were more often detected in stool samples than in NP swabs in patients (with the highest estimated viral load in stool samples in children with AB and AGE) and healthy controls and were more common in NP swabs in children with AGE than in children with AB. In most patients, the characterized genotypes in NP swabs and stool samples were in concordance.
Experimental Study on Electrochemical Desulfurization of Coal Liquefaction Residue

The occurrence of sulfur in coal direct liquefaction residue affects its further high quality and high value utilization. Electrochemical desulfurization is characterized by mild reaction conditions, simple operation, easy separation of sulfur conversion products and little influence on the properties of the liquefied residue. An anodic electrolytic oxidation desulphurization experiment was carried out on the liquefaction residue of the by-product of a coal-to-liquid enterprise in the slurry state. An electrochemical test and material characterization of raw materials before and after electrolysis showed that electrolytic oxidation can desulfurize the liquefaction residue under an alkaline condition. Linear sweep voltammetry (LSV) was used for the electrolysis experiments to obtain the optimal slurry concentration of 60 g/L. On this basis, the reaction kinetics were calculated, and the minimum activation energy in the interval at 0.9 (V vs. Hg/HgO) was 19.71 kJ/mol. The relationship between the electrolytic desulfurization of the liquefied residue and energy consumption was studied by the potentiostatic method. The influence of anodic potential and electrolytic temperature on the current density, cell voltage, desulfurization rate and energy consumption was investigated. The experimental results showed that the desulfurization rate and total energy consumption increase positively with the increase in reaction temperature and electrolytic potential in a certain range. The influence of the reaction temperature on the desulfurization rate and total energy consumption is more prominent than that of electrolytic potential, but the energy consumption of sulfur removal per unit mass does not show a positive correlation. Therefore, with the energy consumption per unit mass of sulfur removal as the efficiency index, the optimal experimental results were obtained: under the conditions of 0.8 (V vs. Hg/HgO) anode potential, 50 °C electrolytic temperature, 60 g/L slurry concentration and 14,400 s electrolytic time, the desulfurization rate was 18.85%, and the power consumption per unit mass of sulfur removal was 5585.74 W·s/g. The results of XPS, SEM, BET and IC showed that both inorganic and organic sulfur were removed by electrolytic oxidation, and the morphology, pore structure and chemical bond of the liquefied residue were affected by electrolytic oxidation. The research method provides a new idea and reference for the efficiency evaluation of desulfurization and hydrogen production from coal liquefaction residue.
MONTE CARLO SIMULATIONS OF TEMPERATURE DEPENDENCE OF THE KINETICS OF DIFFRACTION GRATINGS FORMATION IN A POLYMER MATRIX CONTAINING AZOBENZENE CHROMOPHORES

A simple kinetic model of temperature-dependent processes accompanying the writing and decay of diffraction gratings in a polymer matrix doped with azo-dye chromophores under illumination with spatially modulated and linearly polarized light is introduced and studied using Monte Carlo simulations. The model generalizes a recently proposed athermal kinetic model based on three-channel photoizomerization cycles of trans–cis type of azobenzene molecules and orientational redistribution and diffusion. These processes are influenced by a polymer matrix in a thermal equilibrium. The Monte Carlo simulations show the important role of temperature on the kinetic processes during building and erasure of diffraction gratings. We discuss some interesting applications for photonic devices, related to all-optical processing and storage of information using holographic methods.
Multiple-Resonance-Based Wideband Phase Shifter with High-Performance and Extended Applications

To meet the requirements in the wide scanning range, wide bandwidth, and precise radiation pattern, wideband phase shifters (PSs) with large phase shift range, small phase deviation, and compact circuit size are demanded. Recently, multiple resonance design method is proposed and developed to achieve excellent performances of the wideband PSs. In this work, the proposed multiple-resonance-based PSs are reviewed and concluded, including the working principle, design methods and examples for series and parallel topologies, and extended applications in antennas and FSSs. All of results demonstrate that multiple resonance design concept of the wideband PSs can be well employed in the modern wireless communications.
Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data

Various deep learning approaches using big multiomics data of cancer patients are being applied to identify biomarkers of diverse cancer types these days. Because multiomics data generally have a character with high dimensions compared with relatively few patient samples, this imbalance is a recognized bottleneck to apply integrated characteristics of multiomics in cancer research. Among the dimensionality reduction techniques, deep learning-based approaches, such as autoencoder, are known to have strength in handling high dimensional data with few samples. However, the black box model makes it difficult to explain which genes are essential. In this study, we develop a transformer-based representative Central tendency Gene score considering Central Dogma process information (CGCD) model to predict optimized potential anti-breast cancer therapeutic target genes. It is based on a unified representation applying the compressed features learned through Transformer using multiomics data of 105 breast cancer patients from The Cancer Genome Atlas (TCGA). Unlike other autoencoder-based models, CGCD can derive gene scores from the self-attention mechanism in the transformer model. The significant encoding genes were selected by computing the p-value per each gene based on the scores for all the patients. To verify CGCD score ability for predicting target genes, we estimated hazard ratio and p-value per gene by conducting survival analysis using Cox proportional hazard model and calculated area under the curve (AUC) with CGCD score and the p-value per patient, and performed biological functional analysis including Gene Set Enrichment Analysis (GSEA). As the CGCD score became higher, the results showed a pronounced increasing trend in the retention rate of breast cancer marker genes and pathways. From this point of view, the CGCD score that reflects harmony of multi-omics data in a gene is considered suitable as a criterion for predicting cancer diagnostic markers.
Multi-UAV Cooperative Computational Delay and Energy Consumption Modeling and DDPG Optimization

With the development of the mobile communication, how to provide better quality of service for users' task computation needs through the mobile edge computing(MEC) of unmanned aerial vehicle (UAV) is a hot issue. Therefore, this paper establishes a mobile edge computing network and proposes a service quality optimization scheme under multi-UAV collaboration. Two main works are done in this network. The first is to model the quality of service for users. The second is to use the deep deterministic policy gradient (DDPG) algorithm to increase the quality of service under different subtask quantities. Finally, the simulation results of the reward function prove the high reliability of the proposed scheme. It can be seen from the final experimental results that changing the number of subtasks and reducing the computing delay can improve the quality of user service.
Securities Portfolio Management in the Banking Sector

We develop a method to measure the securities purchasing and selling activity of banks using publicly available data from regulatory (cid:28)lings. Using this data, we document stylized empirical facts and explain securities portfolio management through the lens of contemporaneous balance sheet movements. When focusing on balance sheet changes that are exogenous from the bank’s perspective, we (cid:28)nd that deposit shocks have the greatest explanatory power. We also (cid:28)nd that banks only sell securities to meet deposit withdrawals when cash holdings are low and that, contrary to expectation, only well-capitalized banks sell their risky securities in these cases. Overall, our (cid:28)ndings demonstrate unintended consequences on bank securities management from the post-GFC changes in bank regulation and provide guidance for modeling the risk of (cid:28)nancial (cid:28)re sales in regulatory stress testing exercises
Numerical Analysis on Flame Kernel in Spark Ignition Methane/Air Mixtures

A flame kernel initiation of methane/air combustible mixtures in the spark ignition process was investigated using a two-dimensional theoretical model including a detailed description of gas-phase chemical kinetics, shock capturing scheme and diffusive molecular transport. Interactions of chemical reactions and diffusive transports of radicals in the process of the flame kernel initiation were investigated. Although the model of plasma might be oversimplified, the qualitative behavior of OH for hydrogen/air mixture agreed well with experimental one. The influences of diffusive molecular transport and ignition energy on the flame kernel initiation were discussed. As a result, in the early stage of the flame kernel development for methane/air mixture, the hot gas expansion was dominated by a flow whichwas inducedby the blastwave and the thermal gas at the electrode gapwas self-sustainedwith anapplication of minimum ignition energy. The induction time of the flame kernel initiation strongly depended on the ignition energy and effects of preferential diffusion of lighter molecules in the early phase of the flame kernel development are outstanding especially in the case of low ignition energy near the minimum.
Active Iterative Social Inference in Multi-Trial Signaling Games

Abstract Human behavioral choices can reveal intrinsic and extrinsic decision-influencing factors. We investigate the inference of choice priors in situations of referential ambiguity. In particular, we use the scenario of signaling games and investigate to which extent study participants profit from actively engaging in the task. Previous work has revealed that speakers are able to infer listeners’ choice priors upon observing ambiguity resolution. However, it was also shown that only a small group of participants was able to strategically construct ambiguous situations to create learning opportunities. This paper sets to address how prior inference unfolds in more complex learning scenarios. In Experiment 1, we examine whether participants accumulate evidence about inferred choice priors across a series of four consecutive trials. Despite the intuitive simplicity of the task, information integration turns out to be only partially successful. Integration errors result from a variety of sources, including transitivity failure and recency bias. In Experiment 2, we investigate how the ability to actively construct learning scenarios affects the success of prior inference and whether the iterative settings improve the ability to choose utterances strategically. The results suggest that full task engagement and explicit access to the reasoning pipeline facilitates the invocation of optimal utterance choices as well as the accurate inference of listeners’ choice priors.
Physicochemical Characteristics of Model Membranes Composed of Legionella gormanii Lipids

Legionella gormanii is one of the species belonging to the genus Legionella, which causes atypical community-acquired pneumonia. The most important virulence factors that enable the bacteria to colonize the host organism are associated with the cell surface. Lipids building the cell envelope are crucial not only for the membrane integrity of L. gormanii but also by virtue of being a dynamic site of interactions between the pathogen and the metabolites supplied by its host. The utilization of exogenous choline by the Legionella species results in changes in the lipids’ composition, which influences the physicochemical properties of the cell surface. The aim of this study was to characterize the interfacial properties of the phospholipids extracted from L. gormanii cultured with (PL+choline) and without exogenous choline (PL−choline). The Langmuir monolayer technique coupled with the surface potential (SPOT) sensor and the Brewster angle microscope (BAM) made it possible to prepare the lipid monomolecular films (model membranes) and study their properties at the liquid/air interface at 20 °C and 37 °C. The results indicate the effect of the choline addition to the bacterial medium on the properties of the L. gormanii phospholipid membranes. The differences were revealed in the organization of monolayers, their molecular packing and ordering, degree of condensation and changes in the components’ miscibility. These findings are the basis for further research on the mechanisms of adaptation of this pathogen, which by changing the native composition and properties of lipids, bypasses the action of antimicrobial compounds and avoids the host immune attack.
An Ethnographic Model of Stress and Stress Management in Two Canadian Inuit Communities

As part of the first stage of a community-based participatory research project with two communities in the Canadian Arctic—Kangiqsujuaq, Nunavik, and Ulukhaktok, Northwest Territories—we conducted 57 interviews eliciting residents’ perceptions of pressing issues facing their communities, problems affecting health and wellbeing, and how researchers or other organized groups could help alleviate those problems. A recurrent theme that emerged during these interviews was having “no one to talk to. ” Here, we focus on understanding why communication was a central theme using a grounded-theory approach to develop a model of Inuit stress management. Inuit in both Kangiqsujuaq and Ulukhaktok codify stress as isumaaluttuq, or excess worry, which often manifests physically and leads to social withdrawal. Because stress is believed to accumulate in the body, managing it involves decisions about whether to “Get It Out” or “Keep It In. ” Keep It In is a potentially dangerous strategy because, if the problem does not resolve itself, accumulated stress may have harmful consequences. Inuit viewed talking to others as the most effective means to Get It Out, but respondents also identified numerous barriers to doing so. One important reason for this is that stress is transferable: Talking to others about a problem potentially increases the burden of stress on them. Consequently, Inuit may choose to Keep It In to avoid the potential negative consequences (for others or for oneself) of sharing bad thoughts. Based on this preliminary model, we consider questions for further inquiry and implications for community-based mental health programming in Inuit communities.