Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploiting Dialogue Act for Knowledge Selection and Response Generation

Dialogue act (DA) is the description of the in-001 tention or function of a dialogue utterance. In 002 document-grounded dialogue, correctly under-003 standing the dialogue context is crucial for mod-004 els to select knowledge and inject knowledge 005 into responses. Leveraging dialogue act can 006 help to understand the dialogue context and 007 consequently assist the utilization of document 008 information. In this paper, we propose a novel 009 framework leveraging two different kinds of 010 DAs (model-annotated and human-annotated) 011 for Knowledge Selection (KS) and Response 012 Generation (RG). The framework consists of 013 two modules: the prediction module is trained 014 with multi-task learning and learns to select 015 knowledge and predict the next DA; the gen-016 eration module uses the selected knowledge 017 and the predicted DA for the RG. Our model 018 achieves new state-of-the-art performance on 019 three public datasets and the results verify that 020 leveraging DA can help KS and RG. Our code 021 and data will be released on github.com. 022
H IGH T EMPORAL R ESOLUTION R AINFALL R UNOFF M ODELLING U SING L ONG -S HORT -T ERM -M EMORY (LSTM) N ETWORKS

LSTM model improved (test Nash-Sutcliffe model efﬁciency from 0.666 to 0.942) when a selected subset of rainfall gages based on the model performance, were used as input instead of all rainfall gages. error extracted from the LSTM model and the physical distance between the rainfall gages and the USGS gage was signiﬁcant with a p-value of 3.5E-31 and r =0.77. This results show that similar to the process-driven model, where precipitation drives runoff and the amount of precipitation falls into the watershed is represented by the interpolation of
Solution of Problem for One Model of Relaxational Filtration by Probabilitly–Difference and Monte Carlo Methods

Filtration in relaxationaly-compressed porous layers is described by the linear Darcy’s law. Relaxation kernels of the filtration and mass flow are of formulas (1) and (2). Perturbations front set instantly passes all considered domain making it by filtration domain. Equation for pressure as a function of space ( x ) and time (t) coordinates is of the form (2), with the beginning conditions (4) and (5). Velocity vector is defined as in (3) – it is Darcy’s law. Boundary conditions are defined after Dirichlet (6), Neumann (7) and as a mixed problem (8). The probability-difference and Monte-Carlo methods (random paths) are fully presented to solve the above boundary problems.
FEM‐DEM
 bridging coupling for the modeling of gouge

We discuss the multiscale modeling of a granular material trapped between continuum elastic domains. The amorphous granular region, usually termed “gouge”, is under high confinement pressure, to represent the loading of faults at depth. We model the granularity of gouge using the Discrete Element Method (DEM), while the elastic regions surrounding it are represented with two continuum domains modeled with the Finite Element Method (FEM). We resort to a concurrent coupling of the discrete and continuum domains for a proper transmission of waves between the discrete and continuum domains. The confinement pressure results in the appearance of a new kind of ghost forces, which we address via two different overlapping coupling strategies. The first one is a generalization to granular materials of the Bridging Method , which was originally introduced to couple continuum domains to regular atomic lattices. This method imposes a strong formulation for the Lagrange constraints at the coupling interface. The second strategy considers a weak formulation. Different DEM samples sizes are tested in order to determine at which scale a convergence of the elastic properties is reached. This scale sets the minimal mesh element size in the DEM/FEM interface necessary to avoid undesirable effects due to an elastic properties mismatch. Then, the two DEM/FEM strategies are compared for a system initially at equilibrium. While the performance of both strategies is adequate, we show that the strong coupling is the most stable one as it generates the least spurious numerical noise. Finally, as a practical example for the strong coupling approach, we analyze the propagation of pressure and shear waves through the FEM/DEM interface and discuss dispersion as function of the incoming wave frequency. presence of to the decreases as the the propagation of waves confirms that a mesh size of least is to avoid a mismatch of material properties between FEM and DEM. the results confirm the aptitude of our numerical framework in the LibMultiScale software to satisfactorily different between the two
FORT: a minimal Foundational Ontological Relations Theory for Conceptual modeling tasks

Foundational relations play an important role in the ontological foundations of conceptual modeling. Their investigation has been theoretically addressed in philosophical/ontological theories, and empirically offered in foundational ontologies (FOs). FOs are comprehensive theories that model the world as top-level entities and relations. Empirically, for modelers aiming to use foundational relations without an urge for entity types, FOs seem to be complex to comprehend, comply with, and integrate in practice. And since the practice of these relations is critical for conceptual modeling tasks, we present an approach that builds a well-founded entity-type free relations theory within a first-order-logic formalization, besides large complex FOs. The theory contributes to a minimal set of foundational ontological relations (FORT) by importing extant theories (mereotopology and location) and (re-)formalizing other relations (dependence, membership, constitution, and entity-location), while no FO has compromised this set.
Pursuing Diabetic Nephropathy through Aqueous Humor Proteomics Analysis

In order to determine the possible aqueous humor (AH) proteins involved in diabetic nephropathy (DN) progression, we performed gel electrophoresis-liquid chromatography-tandem mass spectrometry protein profiling of AH samples from 5 patients with proliferative diabetic retinopathy (PDR) combined DN and 5 patients with PDR. Function enrichment analyses were carried out after the identification of differentially expressed proteins (DEPs). Protein-protein interaction networks were then built and the Search Tool for the Retrieval of Interacting Genes database and CytoNCA plugin in Cytoscape were utilized for module analysis. Ingenuity Pathway Analysis (IPA) was used to analyze disease and biological function, Tox function enrichment and upstream regulatory molecules/networks. Fifty-four DEPs were finally confirmed, whose enriched functions and pathways covered cell adhesion, extracellular exosome, complement activation, complement and coagulation cascades, etc. Nine hub genes were identified, including NCAM1, PLG, APOH, C3, PSAP, RBP4, CDH2, NUCB1, and GNS. IPA showed that C3 and PLG are involved in renal and urological system abnormalities. Conclusively, DEPs and hub proteins confirmed in this exploratory AH proteomic analysis may help us gain a deeper understanding of the molecular mechanisms involved in DN progression, providing novel candidate biomarkers for the early detection for diagnosis of DN.
Input-Reflectionless Quasi-Elliptic-Type Single- and Dual-Band Bandpass Filters Based on Passive Channelized Principles

An approach to design quasi-elliptic-type planar filters with single- and dual-band bandpass transfer functions and input-absorptive capabilities is presented. Two-branch channelized passive circuit configurations are exploited for this purpose, in which the low-order reflective-type filtering profile of their branches is converted into the desired sharp-rejection input-reflectionless filtering action in the overall circuit. This is achieved by means of fully-destructive and frequency-selective transversal signal-interference effects at the total input and output accesses of the channelized filter, respectively. The theoretical operational principles of the proposed concept of single/dual-passband input-reflectionless two-branch channelized filter are detailed, along with design considerations for their RF transmission-line-based implementation. Besides, its generalization to $\boldsymbol {N}$ -channel architectures is also analyzed. Furthermore, as the fundamental elements of the devised channelized filtering philosophy to increase selectivity, alternative solutions to realize their output phase-delay sections for a more-flexible control of the transmission zeros in the overall transfer function are discussed. For experimental-demonstration purposes, two microstrip proof-of-concept prototypes are developed and measured. They consist of 3-GHz single-band and $2.58/3.43$ -GHz dual-band designs with input-quasi-reflectionless spectral ratio above 2.5:1 and 3:1, respectively.
A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development

In recent years, with the rise of the Internet, e-commerce has become an important field of commodity sales. However, e-commerce is affected by many factors, and the wrong judgment of supply and marketing relationships will bring huge losses to operators. Therefore, it is of great significance to establish a model that can effectively achieve high precision sales prediction for ensuring the sustainable development of e-commerce enterprises. In this paper, we propose an e-commerce sales forecasting model that considers the features of many aspects of correlation. In the first layer of the model, the temporal convolutional network (TCN) is used to extract the deep temporal characteristics of univariate sales historical data, which ensures the integrity of temporal information of sales characteristics. In the second layer, the feature selection method based on reinforcement learning is used to filter the effective correlation feature set and combine it with the temporal feature after processing, which not only improves the amount of effective information input by the model, but also avoids the high feature dimension. The third layer of the reformer model learns all the features and pays different attention to the features with different degrees of importance, ensuring the stability of the sales forecast. In the experimental part, we compare the proposed model with the current advanced sales forecasting model, and we can find that the proposed model has higher stability and accuracy.
Population Epigenetics: The Extent of DNA Methylation Variation in Wild Animal Populations

Population epigenetics explores the extent of epigenetic variation and its dynamics in natural populations encountering changing environmental conditions. In contrast to population genetics, the basic concepts of this field are still in their early stages, especially in animal populations. Epigenetic variation may play a crucial role in phenotypic plasticity and local adaptation as it can be affected by the environment, it is likely to have higher spontaneous mutation rate than nucleotide sequences do, and it may be inherited via non-mendelian processes. In this review, we aim to bring together natural animal population epigenetic studies to generate new insights into ecological epigenetics and its evolutionary implications. We first provide an overview of the extent of DNA methylation variation and its autonomy from genetic variation in wild animal population. Second, we discuss DNA methylation dynamics which create observed epigenetic population structures by including basic population genetics processes. Then, we highlight the relevance of DNA methylation variation as an evolutionary mechanism in the extended evolutionary synthesis. Finally, we suggest new research directions by highlighting gaps in the knowledge of the population epigenetics field. As for our results, DNA methylation diversity was found to reveal parameters that can be used to characterize natural animal populations. Some concepts of population genetics dynamics can be applied to explain the observed epigenetic structure in natural animal populations. The set of recent advancements in ecological epigenetics, especially in transgenerational epigenetic inheritance in wild animal population, might reshape the way ecologists generate predictive models of the capacity of organisms to adapt to changing environments.
Opportunity Based Energy Efficient Routing Algorithm for Underwater Wireless Sensor Network for Submarine Detection

The submarine detection is the most significant research area of Under Water Acoustic (UWA) environment with extensive application in commercial and navy domains. The environmental complexity and variable nature of the UWA makes Underwater Wireless Sensor Network (UWSN) to exhibit fluidity, sparse deployment, time unpredictability, frequency selectivity, limited accessible bandwidth and energy constraints pose problems in the underwater positioning technology. Thus, an adaptable, scalable, and highly efficient UWA is required for the submarine routing systems. The depth-based routing has received lots of interest as it is capable of delivering effective operation without requiring full-dimensional position information of nodes. However, it has issues of vacant regions and detouring forwards. To delineate the aforementioned problems, this paper proposes an Opportunity-based Distance Vector Routing (ODVR) technique. The distance vectors, which have lowest hop counts in the direction of sink for underwater sensor nodes are determined by ODVR through a query method. Depending on the distance vectors, a dynamic routing is created to manage the packet forwarding. In the opportunistic forwarding, the ODVR has a minimal signaling cost and minimum energy consumption with the potential of eliminating the long detours issues. The outcomes of simulations demonstrate that the ODVR outperforms the conventional routing algorithms.
Histological Changes in the Background Renal Parenchyma in Neoplastic Nephrectomies and Nephroureterectomy: A 10-Year Single-Center Experience

Background: Nephrectomies and nephroureterectomies specimen with neoplastic diagnosis provide a great opportunity to examine the background kidney parenchyma. This will help in exploring any microscopic abnormality that may affect the functional capacity of the residual renal tissue and assess the possible need for nephrologist intervention in maximizing the function of the residual renal parenchyma. Aim: Evaluation of this part of the kidney is overlooked in different centers around the world. Method: A total of 124 specimens of nephrectomies and nephroureterectomies performed at King Abdulaziz University Hospital between January 2010 and December 2019 were reviewed. The microscopic findings in the nonneoplatic parenchyma were documented. Furthermore, the extent to which these findings were initially identified, investigated, and reported was measured. Results: Hypertensive and diabetic nephropathy were among the most common findings in the diseased kidney. The nonneoplastic kidney was well sampled in 95% of the cases and mentioned in the report in 25% of the cases. Conclusion: Although, the evaluation of this part of the kidney is essential, and of great help for the patient prognosis, and quality of kidney function, it is overlooked in different centers around the world, and the causes behind this requires further exploration.
Cardiac evaluation for end-stage kidney disease patients on the transplant waitlist: a single-center cohort study

Background Cardiac evaluation before deceased donor kidney transplant (DDKT) remains a matter of debate. Data on Asian countries and countries with prolonged waiting times are lacking. This study aimed to assess the outcomes of patients referred for DDKT after a cardiac evaluation at an Asian tertiary transplant center. Methods This single-center retrospective review analyzed patients who were referred for waitlist placement and underwent cardiac stress testing between January 2009 and December 2015. Patients with cardiac symptoms were excluded. The primary outcome was three-point major adverse cardiovascular events (MACE), a composite of non-fatal myocardial infarction, non-fatal stroke, and cardiovascular death. Results Of 468 patients referred for DDKT, 198 who underwent cardiac stress testing (myocardial perfusion studies in 159 patients and stress echocardiography in 39 patients) were analyzed. MACE occurred in 20.7% of the patients over a median follow-up of 4.6 years. Cardiac stress tests were positive for ischemia in 19.7% of the patients. Coronary angiography was performed in 63 patients, including 29 patients with diabetic kidney disease and negative cardiac stress tests. Significant coronary artery disease (CAD) was detected in 27 patients (42.8%), of whom 18 underwent revascularization. MACE was associated with significant CAD on coronary angiography in the multivariable analysis. Cardiac stress test results were not associated with MACE. Amongst diabetic patients who had negative cardiac stress tests, 37.9% had significant CAD on coronary angiography. Conclusions The cardiovascular disease burden is significant amongst DDKT waitlist candidates. Pretransplant cardiac screening may identify patients with significant CAD at higher risk of MACE.
SpS5 - I. Obscured and distant clusters

Abstract This first part of Special Session 5 explored the current status of infrared-based observations of obscured and distant stellar clusters in the Milky Way galaxy. Recent infrared surveys, either serendipitously or using targeted searches, have uncovered a rich population of young and massive clusters. However, cluster characterization is more challenging as it must be obtained often entirely in the infrared due to high line-of-sight extinction. Despite this, much is to be gained through the identification and careful analysis of these clusters, as they allow for the early evolution of massive stars to be better constrained. Further, they act as beacons delineating the Milky Way's structure and as nearby, resolved analogues to the distant unresolved massive clusters studied in distant galaxies.
Study on Nano Drug Particles in the Diagnosis and Treatment of Alzheimer's Disease in the Elderly

Objective To study the clinical effect of nano drug particles in the diagnosis and treatment of Alzheimer's disease in the elderly, we promote the research on the treatment of Alzheimer's disease and provide basis. Methods 80 patients with Alzheimer's disease treated in our hospital from April 2021 to April 2022 were selected as the research objects and were divided into the reference group and the observation group by random number table method. The reference group was given traditional treatment drugs, and the observation group was given nano drug particles. The treatment effect, blood lipid level, cognitive function status, and comprehensive effective rate of the two groups were compared, and the treatment data of the patients were scored by ADL and MMSE scale to understand the intelligence level and daily living ability of the patients. Results From the comparison results, it is found that the blood lipid level of the control group was in the normal range. The cognitive function of the control group was also better than that of the reference group. The scores of ADL and MMSE in the control group were higher than those in the reference group. The effective rate of the control group was also higher than that of the reference group; P < 0.05, with statistical significance. Conclusion In the diagnosis and treatment of Alzheimer's disease in the elderly, nano drug particles have good stability and less toxic and side effects, improve the ability of daily living of patients, and have good clinical treatment effect, which is worthy of clinical application.
Deriving model-based Te-consistent chemical abundances in ionized gaseous nebulae

The derivation of abundances in gaseous nebulae ionised by massive stars using optical collisionally excited emission lines is studied in this work comparing the direct or $T_e$ method with updated grids of photoionisation models covering a wide range of input conditions of O/H and N/O abundances and ionisation parameter. The abundances in a large sample of compiled objects with at least one auroral line are re-derived and later compared with the $\chi^2$ weighted-mean abundances from the models. The agreement between the abundances using the two methods both for O/H and N/O is excellent with no additional assumptions about the geometry or physics governing the HII regions. Although very inaccurate model-based O/H are obtained when no auroral lines are considered, this can be overcome assuming empirical laws between O/H, log $U$, and N/O to constrain the considered models. In this way, for 12+log(O/H) $>$ 8.0, a precision better than 0.1dex consistent with the direct method is attained. For very low-$Z$, models give higher O/H values and a high dispersion, possibly owing to the contamination of the low-excitation emission-lines. However, in this regime, the auroral lines are usually well-detected. The use of this procedure, in a publicly available script, HII-CHI-mistry}, leads to the derivation of abundances in faint/high redshift objects consistent with the direct method based on CELs.
Quantum discord and entanglement in Heisenberg XXZ spin chain after quenches

Using the adaptive time-dependent density-matrix renormalization group method, the dynamics of entanglement and quantum discord of a one-dimensional spin-1/2 XXZ chain is studied when anisotropic interaction quenches are applied at different temperatures. The dynamics of the quantum discord and pairwise entanglement between the nearest qubits shows that the entanglement and quantum discord will first oscillate and then approach to a constant value. The quantum discord can be used to predict the quantum phase transition, while the entanglement cannot.
Decoupling electrocaloric effect from Joule heating in a solid state cooling device

We report a heat dynamics analysis of the electrocaloric effect (ECE) in commercial multilayer capacitors based on BaTiO3 dielectric, a promising candidate for applications as a solid state cooling device. Direct measurements of the time evolution of the sample’s temperature changes under different applied voltages allow us to decouple the contributions from Joule heating and from the ECE. Heat balance equations were used to model the thermal coupling between different parts of the system. Fingerprints of Joule heating and the ECE could be resolved at different time scales. We argue that Joule heating and the thermal coupling of the device to the environment must be carefully taken in to account in future developments of refrigeration technologies employing the ECE.