Miracle-dz/UniFAR-FTUs huggingface dataset:
For Deliberation Sake, Show Some Constructive Emotion! How Different Types of Emotions Affect the Deliberative Quality of Interactive User Comments

Deliberation is classically understood as a communication process where equal participants justify their positions in a respectful, reciprocal, argumentative manner. However, critical scholars have argued for a concept of deliberation that incorporates other forms of communication beyond argumentation, for example, expressions of emotions. While previous research focused on differences between positive and negative emotions, we introduce a distinction between constructive and non-constructive expressions of emotions. Whilst constructive emotions focus on the discussed issue, non-constructive emotions refer to other participants. We draw on a quantitative relational content analysis of user comments written in an online-participation platform. The results show a positive effect of constructive expressions of emotions on the deliberative quality of interactive user comments and a negative effect of non-constructive expressions of emotions. Overall, we conclude that emotions can promote the deliberative quality of interactive user comments if they are not focused on other participants but on the discussed issue.
Development of an in vitro microfluidic model to study the role of microenvironmental cells in oral cancer metastasis

Metastasis occurs when cancer cells leave the primary tumour and travel to a secondary site to form a new lesion. The tumour microenvironment (TME) is recognised to greatly influence this process, with for instance the vascular system enabling the dissemination of the cells into other tissues. However, understanding the exact role of these microenvironmental cells during metastasis has proven challenging. Indeed, in vitro models often appear too simplistic, and the study of the interactions between different cell types in a 3D space is limited. On the other hand, even though in vivo models incorporate the TME, observing cells in real-time to understand their exact role is difficult. Horizontal compartmentalised microfluidic models are a promising new platform for metastasis studies. These devices, composed of adjacent microchannels, can incorporate multiple cell types within a 3D space. Furthermore, the transparency and thickness of these models also enables high quality real-time imaging to be performed. This paper demonstrates how these devices can be successfully used for oral squamous cell carcinoma (OSCC) metastasis studies, focusing on the role of the vascular system in this process. Conditions for co-culture of OSCC cells and endothelial cells have been determined and staining protocols optimised. Furthermore, several imaging analysis techniques for these models are described, enabling precise segmentation of the different cell types on the images as well as accurate assessment of their phenotype. These methods can be applied to any study aiming to understand the role of microenvironmental cell types in cancer metastatic dissemination, and overcome several challenges encountered with current in vitro and in vivo models. Hence, this new in vitro model capable of recapitulating important aspects of the cellular complexity of human metastatic dissemination can ultimately contribute to replacing animal studies in this field.
Utilization of Whatsapp Business in Marketing Strategy to Increase the Number of Sales Through Direct Interaction with Customers

In the business world, effective communication is essential to achieve success in establishing relationships with clients, business partners, and co-workers. In today's ongoing digital age, technology has changed the way we communicate making it easier for individuals or groups to connect with each other remotely. One of the most popular chat apps today is WhatsApp, and in the business world, WhatsApp Business can provide many benefits. The purpose of this study is to provide an overview of what features can be used on WhatsApp Business for business purposes. The data collection method used in this study is to use secondary data, namely through literature review obtained from journals or supporting articles. WhatsApp Business offers a variety of features, such as contact lists, sending messages with interesting content, using automated messages, offering special promotions, and providing customer support. These features are very useful in increasing sales, saving time and effort, and maintaining consistent communication with customers.
On some slope-limiter methods for the linear advection equation

In this paper, we propose two slope-limiter methods for solving hyperbolic conservation laws. The methods are developed through flux formulation with piecewise linear construction and applied to solve the Linear Advection Equation using two initial conditions. The results which were compared with those of the Lax-Wendroff method, and the minmod method demonstrate the accuracy of the proposed methods.
Skew correction method for document image based on projection

Aiming at the skew correction of document image,a novel skew correction method based on projection is proposed. Firstly,it projects the document image from different views using an efficient pixels traversal algorithm.Then,it calculates the sum of projection data and the skew angle can be determined by comparing these sums of different views.Since only very few part of the document image is projected during the procedure of projection,large amount of operations are saved.Based on the character of this method,a strategy of projection from rough to fine is proposed,which can greatly improve the speed and ensure the accuracy of detection.The experimental results show that the proposed method is very effective and can achieve very high accuracy.
Health assessment of wind turbines based on output power modelling

Machine learning based performance assessment of wind turbines using the widely available SCADA data has been receiving growing interest. This work proposes a pragmatic health evaluation approach of wind turbines based on output power modelling. For that, random forests regression models to predict output power are trained respectively by ‘normal’ and ‘under-performance’ samples. The trained two models are used to predict output power of testing data. By comparing the absolute values of the residuals of testing data, the working state is identified at each time point. A health index, which is based on the percentiles of ‘normal’ samples in a defined period, is introduced to evaluate the health condition of the wind turbine. The degradation of the HI can give an early warning of the wind turbine. The proposed approach successfully give an early warning for the potential fault around 6 hours prior the traditional SCADA system.
Development of the new multi-beam 100 GHz band SIS receiver FOREST for the Nobeyama 45-m Telescope

We report the development of the new 4-beam, 2-polarization, 2-sideband, 100 GHz band SIS receiver "FOREST" (FOur beam REceiver System on the 45-m Telescope) and the results from commissioning and observations on the Nobeyama 45-m Telescope operated by Nobeyama Radio Observatory, a branch of National Astronomical Observatory of Japan. FOREST aims to add new capabilities of large-area mapping and simultaneous multi-line observation at 80 { 116 GHz band to the Nobeyama 45-m Telescope, which is one of the largest millimeter radio telescopes in the world. The configuration of the four beams is a quadrate of 2 x 2 with the separation between adjacent beams of 50". Beam size of each beam is ~ 15" at 115 GHz. Receiver noise temperature is as low as that of ALMA Band 3 receivers, so that mapping speed is more than four times as high as that of the other 100 GHz band receivers on the 45-m Telescope. The IF bandwidth is 8 GHz (4 { 12 GHz) realizing simultaneous 12CO(J = 1-0), 13CO(J = 1-0), and C18O(J = 1-0) observations. Cooled components inside of cryostat are modularized per beam. IF signals from the cryostat are processed by the room temperature IF system, and then passed to spectrometers. We have installed the FOREST receiver into the Nobeyama 45-m Telescope, evaluated its performance, and made large area mapping observations. These demonstrate the excellent performance of the FOREST receiver and the Nobeyama 45-m Telescope.
Three Dimensional Boundary Conforming Delaunay Mesh Generation

This work is motivated by the aim to support numerical methods to solve partial differential equations. Among them are finite element and finite volume methods. For these, a given domain must first be subdivided into many simple cells. The quality of the subdivision will tremendously affect the accuracy and convergence of the method. A boundary conforming Delaunay mesh is a partition of a polyhedral domain into Delaunay simplices and all boundary simplices satisfy the Gabriel property. It is important in Voronoi-box based finite volume schemes. It allows to carry important qualitative properties from the continuous to the discrete level. In this work, we study meshing problems for the generation of three-dimensional good quality boundary conforming Delaunay meshes. A simple and efficient algorithm to generate boundary conforming Delaunay meshes is Delaunay refinement. Shewchuk’s algorithm is reanalyzed, achieving new results on the termination (angle) condition, on the bounds on characteristics of the tetrahedral shape and on the mesh size distribution. In practice, it is observed that this algorithm usually greatly outperforms the proven estimates. Next we propose an adaptive Delaunay refinement algorithm which guarantees the termination for all valid inputs. It is known that not all polyhedra can be tetrahedralized without using additional points (so-called Steiner points). The three-dimensional boundary conforming Delaunay mesh generation problem has many difficulties. An algorithm to construct constrained Delaunay tetrahedralizations is presented. This algorithm adds few Steiner points on the domain boundary. The correctness is proven for an arbitrary valid polyhedral domain. The complexity issues are discussed. It is practically efficient.
New Anti-Hypoxic Metabolites from Co-Culture of Marine-Derived Fungi Aspergillus carneus KMM 4638 and Amphichorda sp. KMM 4639

The KMM 4639 strain was identified as Amphichorda sp. based on two molecular genetic markers: ITS and β-tubulin regions. Chemical investigation of co-culture marine-derived fungi Amphichorda sp. KMM 4639 and Aspergillus carneus KMM 4638 led to the identification of five new quinazolinone alkaloids felicarnezolines A–E (1–5), a new highly oxygenated chromene derivative oxirapentyn M (6) and five previously reported related compounds. Their structures were established using spectroscopic methods and by comparison with related known compounds. The isolated compounds showed low cytotoxicity against human prostate and breast cancer cells but felicarnezoline B (2) protected rat cardiomyocytes H9c2 and human neuroblastoma SH-SY5Y cells against CoCl2-induced damage.
Intelligent Servo Tuning of High-Speed Machine Tools Using Circular Test

PID control and multiloop control schemes are widely used in machine-tool computer numerical control servo systems. However, fast and efficient tuning methods for solving mismatches are uncommon. Servo mismatch is an important source of error owing to its effect on positioning accuracy. A circular test using a double ball bar is used to access such errors. This study proposed a simple, model-free, and inexpensive approach without add-on measurement to solve the servo-mismatch system by the measurement of simultaneous movements in two axes. Based on the proposed features, our approach is established by iterative tuning using Lagrange interpolation polynomials for the position and velocity loops parameters. The system performance can be improved to iteratively minimize the mismatch of servo systems by tuning the servo parameters of multiaxis feed-drive systems. The proposed approach is based on the linear scale signals of iterative circular tests, which avoids using expensive measurement instruments. The experimental results demonstrate the accuracy of feed-drive system diagnosis and the performance improvement. (Mismatch is improved from 0.67 to 0.01 ms.)
Empirical Modeling of Pressure Spectra in Adverse Pressure Gradient Turbulent Boundary Layers

This study investigated the unsteady aerodynamic forcing that occurs near the trailing edge of airfoils with chordwise Reynolds numbers between 2 and 6 million. Static pressure, unsteady surface pressure, and velocity measurements were made throughout the trailing-edge region of an airfoil model with three interchangeable, symmetric trailing-edge sections. The data of the present study were used to develop a new model for estimation of fluctuating surface pressure autospectra beneath two-dimensional turbulent boundary layer flow experiencing an adverse pressure gradient of variable strength. This new model has been used to compare with data from six separate experimental investigations from literature, and has been compared against a separately developed empirical model of the fluctuating surface pressure. Additional empirical modeling of the coherent extents of the fluctuating pressure field in the longitudinal and lateral directions, as well as the convection velocity, is presented as a function of nond.
Math in Music

The great mathematician Felix Klein conceived of geometry as the study of the properties of objects which are invariant (i.e., unchanged) under certain groups of transformations. For high-school plane geometry, those transformations are translations; rotation about a point; reflection in a line. These form the group of Euclidean transformations in the plane. (I’ll get more precise about what a group is later.) Klein’s idea means that when we study geometric objects (e.g., lines, triangles, circles) we focus on those features, like lengths and angles, that are unchanged under the above transformations. So, in a way, the transformation group defines the geometry.
Fractional Replication for Mixed Series

The type of experimental designs to be described in this paper was necessitated by a situation which often occurs in engineering research. In such situations, a considerable number of independent variables are involved, and project engineers are accustomed to presenting their results in the form of large numbers of families of curves obtained by keeping all independent variables constant except one. Since each independent variable (factor) is assigned several values (levels) the number of test points to be obtained becomes large, sometimes forbiddingly so. Virtually all the test saving experimental designs which appear in statistical literature require either that the factors involved are at a convenient number of levels (for example, much has been written on designs in which all factors are at the same number of levels), or that some or all of the two factor initeractions are zero. These conditions rarely obtain in engineering experimentation and hence the standard designs ,cannot be used except in special situations. However, the method known as fractional replication gives promise of alleviating this situation. Using fractional replication, it is possible, under certain conditions, to test only a portion of all the possible combinations of levels of factors; and yet be able to test hypotheses on the existence of all main effects and all two factor interactiolns. What is
REAL-TIME RECOGNITION OF INFRARED SMALL TARGETS IN COMPLICATED IR BACKGROUND

A new method for infrared (IR) warning system to recognize small targets in IR image sequences in real time in complicated IR background was presented. The system employs two dimensional digital filtering using Field Programmable Gate Array (FPGA), parallel processing of high speed Digital Signal Processor (DSP) and target recognition algorithm based on target movement analysis. The system not only improves dim moving target capture capability in complicated background, accomplishes moving multi target automatic recognition, but also is capable of target overlapping prediction and target recapture. The system processing rate reaches 25 frames per second, and the system responding time is less than 1 second.
Durable Consumption-Based Asset Pricing Model with Foreign Factors for the Korean Stock Market

This paper explores the implications of consumption heterogeneity between domestic and foreign investors on the cross-section of stock returns in a host country. We argue that foreign investors in a small open economy integrated into global financial markets may face consumption risk, which could result in risk premia being reflected in stock returns. To account for the potential influence of foreign investors on asset prices in a host country, we develop a two-country durable consumption model under market incompleteness, which extends the one-country durable consumption model. The proposed model includes both domestic and foreign pricing factors. We investigate the empirical performance of our model with Fama–French portfolios for Korea, taking U.S. investors as representative foreign investors. The empirical results advocate the two-country durable consumption model, confirming the significant role of foreign factors in the cross-section of domestic stock returns. Additionally, R2 tests conducted with different sets of test assets show that the explanatory power of our model is comparable to that of the Fama–French three-factor model.
Journal of Research on the College President Journal of Research on the College President

The typical image of the academic president is shifting, with women occupying more presidential offices at colleges and universities, constituting an upward trend toward gender equity. An analysis of communication competencies and behaviors of academic presidents and governing board members in the context of hiring was conducted via interviews and surveys. Universities and colleges in the U.S. that had recently hired new presidents were sampled. Communication skills were identified as important factors that influenced board member’s perceptions of the candidates. Correspondence
The genome sequence of the Phoenix, Eulithis prunata (Linnaeus, 1758)

We present a genome assembly from an individual male Eulithis prunata (the Phoenix; Arthropoda; Insecta; Lepidoptera; Geometridae). The genome sequence is 263.1 megabases in span. Most of the assembly is scaffolded into 30 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 15.9 kilobases in length. Gene annotation of this assembly on Ensembl identified 16,023 protein coding genes.
Development of Matrix Type Transdermal Patches of Lacidipine: Evaluation of Physicochemical, in vitro, ex vivo and Mechanical Properties

Transdermal patches were developed for a low oral bioavailable drug, lacidipine (LCDP) employing ethyl cellulose/Eudragit RL100 and polyvinyl pyrollidone (PVP) as polymeric matrices. The effect of binary mixtures of polymers on physicochemical properties such as thickness, moisture absorption and moisture content; in vitro release, ex vivo permeation and mechanical properties was evaluated. Ex vivo permeation studies across rat abdominal skin were conducted using Franz diffusion cells. Binary mixture of polymer, ethyl cellulose-PVP and Eudragit RL100-PVP at 2.5:7.5 (LE4) and 5:5 (LP3) showed maximum amount of drug release and ex vivo permeation (LE4, 2282.3 μg; LP3, 2765.7 μg). Different kinetic models used to interpret the release kinetics and mechanism indicated that release from all formulations followed zero order release kinetics with fickian diffusion pattern. The flux of LE4 and LP3 formulations showed a flux of 17 and 21.1 μg cm2 h−1, which could meet the target flux. The tensile strength of LE4 and LP3 were found to be 0.6 and 1.1 Kg mm−2. Matrix type transdermal patches having suitable mechanical properties for LCDP were developed and evaluated.
Short-Term 4D Trajectory Prediction Based on Parameter Identification

Due to various uncertain factors existed in the actual flight process,short-term 4D trajectory prediction of aircraft must be used to master the real time dynamic operation of the aircraft and ensure the safety and patency of air traffic. We establish the kinematics model of the constant speed cruise phase and the isometric track forecast model of aircraft. In the model,we use Maximum likelihood rule and Newton-Ralph iterative algorithm to identify the calibrated air speed with the real-time track data which are received by ADS-B( automatic dependent surveillance broadcast) receiver. Aircraft short-term trajectory is calculated with the identified result and isometric track forecast model. Case study shows that this method can accurately predict the short flight trajectory of the constant speed cruise phase,and point-passing time error can be controlled within 5 s in2 min.
Groundwater flow reversal between small water bodies and their adjoining aquifers: A numerical experiment

The countless kettle holes in the Late Pleistocene landscapes of Northern Europe are hotspots for biodiversity and biogeochemical processes. As a rule, they are hydraulically connected to the shallow groundwater system. The rapid, intensive turnover of carbon, nutrients and pollutants in the kettle holes therefore has a major impact on the quality of the shallow groundwater downstream. As a result of high‐evapotranspiration rates from their riparian vegetation or strong storm events, the process of downstream groundwater flow may stagnate and reverse back towards the kettle hole, making interactions between the groundwater and kettle hole more complex. Furthermore, the highly heterogeneous soil landscape in the catchment contributes to this complexity. Therefore, the present study aims to enhance our understanding of this complicated interaction. To this end, 24 model variants were integrated into HydroGeoSphere, capturing a wide range of uncertainties in quantifying the extent and timing of groundwater flow reversal between a kettle hole and the adjacent aquifer. The findings revealed that the groundwater flow reversal lasted between 1 month and 19 years at most and occurred in a distance of more than 140 m downstream of the kettle hole. Our results demonstrated that the groundwater flow reversal arises especially often in areas where the shallow aquifer possesses low‐hydraulic conductivity. There may also be a recurrent circulating flow between the groundwater and kettle hole, resulting in solute turnover within the kettle hole. This holds particularly true in dry periods with medium to low‐water levels within the kettle hole and a negative water balance. However, shallow groundwater flow reversals are not necessarily a consequence of seasonal effects. In this respect, the properties of the local shallow aquifer by far outweigh the effect of the kettle hole location in the regional flow regime.