Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinico-pathologic determinants of non-e-curative outcomes following en-bloc endoscopic submucosal dissection in patients with early gastric neoplasia

Endoscopic submucosal dissection (ESD) is gaining enormous popularity in the treatment of early gastric cancers (EGCs) across many institutions in the world. However, appropriate selection of patients for endoscopic resection is crucial to su�ciently mitigate non-e-curative (NEC) resection. This study aims at identifying the various clinico-pathologic factors that independently predict the depth of submucosal invasion and NEC resection following ESD in patients with EGCs. Multiple logistic regression analysis was applied to investigate factors that independently predict the level of submucosal invasion and NEC resection in patients with early gastric neoplasia. Statistical Packages for the Social Sciences version 23 was used for analysis. ESD = Endoscopic Submucosal Dissection, EGC = Early Gastric Cancers, Group 1 = lesions with Protruding (0-I), Purely superficial flat (0-IIb) and Mixed variants with 0-IIb predominant, Group 2 = Purely superficial elevated (0-IIa) or depressed (0-IIc) or mixed variants with either 0-IIa or 0-IIc predominant.
Stable FDTD for the Time-Domain Wave Equation Resulted from Spherical Harmonic Expansions

In this paper, the solution of the time-domain wave equation involved in spherical harmonic expansion (SHE) is revisited. The finite difference time domain (FDTD) method is a preferred choice for the second-order time-domain wave equation, while the traditional Courant–Friedrich–Levy (CFL) condition cannot be applied directly. It is found that the stability condition of the wave equation is associated with the degree $n$. As the degree $n$ increases, the upper limit of the time step declines. However, due to the strictness of the derived stability condition, we opted to verify it using non-uniform spatial sampling. Numerical results obtained from this approach provide justification for our analysis.
NB-IoT: Review, Comprehensive Study & Open Issues

IoT is the way of future. The rapid development in this field of technology has left a lasting remark of life that people live & the way that people live it. The IoT’s growth has not only paved a way for new technologies & services but also pumped up their efficiency & productivity. With all these pros, there are also cons to be considered such as security, privacy & even the simple distribution of deployment of this technology to various parts of the world. This study discusses how Nb-IoT, a 3GPP technology acts as a perfect companion for deployment & connectivity of devices in IoT Network. This study also mentions its physical properties, deployment techniques, security features, advantages & disadvantages, applications & open issues.
PHYSICAL PROPERTIES OF MARINE SEDIMENTS

Abstract : The unconsolidated sediments that blanket the ocean floor are of widely varying thickness but seismic observations indicate that 200 to 400 meters in the Pacific and one kilometer in the Atlantic are fairly typical values for deep water. At present direct observation of these sediments is limited to such samples as may be recovered by dredging or coring operations, for drilling has been carried out only in the shallow waters of the coastal shelves. Knowledge of the physical properties of the great bulk of the sediments deeper than the few tens of feet reached by coring equipment is thus necessarily derived from geophysical observations.
Two-Stage Dual Augmentation with CLIP for Improved Text-to-Sketch Synthesis

We introduce an improved text-to-sketch synthesis method using two-stage dual augmentation based on the large-scale pre-trained CLIP and CLIPDraw models. In the first stage, the input text is fed to CLIPDraw to produce text augmentation adaptively. In the second stage, attention mechanisms and structural images with lower strokes are adopted for image augmentation enhancement. Parameters of the Bezier drawing curves are optimized using global and local loss terms. Our method produces visually plausible drawings with better stroke layouts and improved drawing details. There is no need for model re-training or parameter tuning. We further utilize CLIPScore, a reference-free metric, to evaluate the matching of the generated image against the input text description. Experimental results show that the proposed method produces improved drawing sketches.
King of the Australian Coast: The Work of Phillip Parker King in the Mermaid and Bathurst 1817-1822

Phillip Parker King has been described as the greatest of Australia's early marine surveyors. But while the achievements of Cook and Flinders are widely known, this is the first telling of King's story. Unlike Cook and Flinders, King was Australian-born-the son of Philip Gidley King, governor of New South Wales. In a series of gruelling voyages between 1817 and 1822, King charted most of the north-west coast of Australia from the eastern tip of Arnhem Land all the way round to Cape Leeuwin and King George Sound. He surveyed Macquarie Harbour in Van Diemen's Land and the treacherous waters inside the Great Barrier Reef, filling gaps in the work of his famous predecessors. Marsden Hordern, a splendid storyteller, creates for the reader a sense of following, engrossed, in King's wake. The hazards of reefs, shoals and tides are ever-present, as is delight in unfamiliar wildlife and curiosity about the Aboriginal people. The question left hanging is whether King might be better known today had he been a less capable, good and faithful servant of the Crown, and more inclined to the excess and ineptitude of certain other early explorers. Winner of the New
Adaptive Dynamic Programming for Finite-Horizon Networked Control System with Packet Loss and Delay

This paper presents a novel approach to adaptive optimal control of networked control systems with packet loss and delay using adaptive dynamic programming. The impact of stochastic packet loss and delay is first considered. The relationship between the stochastic Riccati equation and the deterministic Riccati equations is established via simulations that result from sampling the original system. It enables the implementation of stochastic approximate optimal control by means of an off-policy iterative strategy. The effectiveness of proposed procedures is finally demonstrated through an example.
Application of Chaotic Particle Swarm Optimization to Maximum Power Point Tracking of Photovoltaic Arrays under Partial Shading Conditions

Aiming at the maximum power point tracking (MPPT) of photovoltaic (PV) arrays under partial shading conditions, this paper proposes a chaotic particle swarm optimization (PSO) algorithm, which can obtain the maximum output power of PV arrays by finding the voltage value corresponding to the maximum output power. The core idea of the proposed method is to generate stochastic disturbance through chaotic variables so that particles can carry out traversal searches in the search space, which contributes to solving the problem of particle position setting. When the chaotic states of the particles end, strategies such as local extremum discrimination and accelerated convergence are introduced to realize global fast optimization in the search space. In this paper, a large number of simulations are conducted by setting up several groups of partial shadows and continuously changing scenes. The simulation results show that the MPPT of PV arrays under partial shading conditions can be effectively and quickly obtained through the algorithm.
Demographic Factors of Entrepreneurs as Predictor of Batik SMEs Performance Mediated by Entrepreneurial Orientation

The purpose of this study was to determine the mediation role of entrepreneurial orientation on the relationship between entrepreneur’s demographic characteristics (gender, age and education level) on business performance of batik SMEs in Semarang city. The questionnaire was prepared using a 5 point Likert Scale. The number of samples that were collected from 75 SME batik owners/managers. The analytical tool used is Path Analysis and testing the effect of mediation using the Sobel test. From the results of the analysis show that demographic variabels have positive and signiﬁcant effect on the entrepreneurial orientation variable. The demographic variabels and entrepreneurial orientation has a positive and signiﬁcant effect on the performance of batik SMEs except education level variable. Entrepreneurial orientation variable is able to mediate the relationship between demographic characteristics of entrepreneurs with the business performance of batik SMEs in Semarang city.
End-to-end Solar Energy Optimization Platform and Scalability Test

Utilities and aggregators are facing operational challenges due to the rising integration of distributed energy resources (DERs), especially behind-the-meter solar or edge devices to the grid. This paper provides detailed information on the End-to-end Solar Energy Optimization Platform (ESEOP), including internal communication architecture, information architecture, and a visualization dashboard. ESEOP acts as a centralized platform to communicate and control edge devices to mitigate adverse impacts. The design of ESEOP aims to bridge the gap between utility enterprise systems and customer DER management systems. ESEOP was developed with the necessary interfaces to integrate with edge devices. The ESEOP prototype is on the cloud server. The project team initially performed an end-to-end communication test and passed all requirements. This paper also provides a setup for cloud-to-cloud scalability tests with the data simulator. Results from the scalability test met and exceeded the performance targets of this project. This paper demonstrates the technological feasibility of ESEOP on a large scale and paves the way for future scalable deployments.
Hydrogeologic reconnaissance of the Mekong Delta in South Vietnam and Cambodia

Rl Introduction 2 Purpose and scope of report 2 Location and extent of area 2 Previous investigations 3 Acknowledgments 4 Climate 4 Hydrologic features of the Mekong Delta region 5 Water supply 7 Surface water 7 Rainwater cisterns 8 Dug wells and pits 8 Drilled wells 9 Geologic setting of the Mekong Delta region 9 Ground water in Quaternary alluvium of the Mekong Delta 12 Holocene Alluvium 13 Shallow freshwater in ancient beach and dune ridges 14 Old Alluvium 16 Area southwest of the Song Hau Giang including the Ca Mau Peninsula 16 Bac Lieu 100-metre aquifer 16 Bai Xau 450-metre aquifer 18 Interfluve between the Song Hau Giang and the Mekong River . 18 Area north of the Song My Tho and the Mekong River 19 Saigon Tri-Partite sands 19 Long An 200-metre aquifer 21 Aquifer in outcrop area of Old Alluvium northwest of Saigon . 22 Conclusions 23 References 24
Extracting Psychological Features out of Drawings of HTP test

The House-Tree-Person (HTP) test is extensively used in different contexts to assess personality related issues. At test time, the respondent is requested to draw a house, a tree and a person. The drawings are later interpreted by therapists to assess emotional indicators. Due to its simplicity, this test is used with individuals aged over 3 years. This paper presents the first results of a bigger project, which aims to use artificial intelligence and image processing techniques to classify House-Tree-Person pictures, to extract psychological features out of those drawings and to find the optimal combination of those signs that may be indicative of psychological maladjustment. Having done the initial HTP classification task, this research focuses on the pictures of houses, searching for the presence/absence of the roof. This work used sketches provided by the department of Psychology of Istanbul Bilgi University and other drawings retrieved from multiple resources and from the internet. In the HTP classification task, the reached performance is 96.81% and 98.84% in the validation and test sets, respectively. In the roof detection task, the achieved accuracy is 70.73%, over a test set of 41 "house" images from which 29 were correctly classified.
Reducing Fixation Error Due to Natural Head Movement in a Webcam-Based Eye-Tracking Method

The detection and monitoring of cognitive decline has emerged as an important research topic as the global population ages. Here, we present work towards the goal of using a webcam as a low-cost and non-invasive sensor to detect oculomotor changes associated with prodromal or early dementia. Specifically, we implement a method of 3D gaze tracking to account for natural head movement during the data collection. In a user study, we show that this method decreases gaze estimation error in a fixation task by 11 %, when compared with a standard 2D method. Performance improvements are greater in the horizontal direction than vertical direction, indicating the predominance of horizontal head movements in our users. Correcting for naturalistic head movements will be critical in the deployment of this technology, particularly in older user populations.
A Performance Comparison of Two Portable NIRS Technologies for Olive Oil Adulteration

To date, the development of low-cost, easy to use real time and no-invasive sensors for safety and quality controls in agrifood is needed. One of the most promising techniques that complies with these requirements is Near Infrared spectroscopy (NIRS). In this work, two portable NIRS (Nanoscan Texas Instruments, and MicroNIR 1700, Viavi). have been tested as a feasible sensor to detect frauds in olive oils (olive oils adulterated with low-cost seed oils). Spectra of 99 oils were scanned in transmittance (Nanoscan) and reflectance (MicroNIR) modes. After transforming raw data with derivative and scattering math pretreatments, Partial Least Square regression models were developed. Results of Principal Component analysis (PCA) with Nanoscan raw data showed that exist differences between Olive oil and adulterated oils. In both portable NIRS devices, the coefficients of determination for calibration for all adulterations were at least 0.8.
A model study of the influence of the quasi‐biennial oscillation on trace gas distributions in the middle and upper stratosphere

The dominant tracer transport processes in the equatorial and subtropical latitudes of the middle and upper stratosphere are investigated. Distributions of water vapor in Northern Hemisphere winter from the Microwave Limb Sounder onboard the Upper Atmosphere Research Satellite are employed, together with a three-dimensional Stratosphere Mesosphere Model that incorporates a representation of the quasi-biennial oscillation (QBO). The model reproduces the observed tracer distributions, in particular a “staircase” feature that is present in northern winter of 1992 (easterly QBO phase) but not in 1993 (westerly QBO phase). This feature is highly asymmetric about the equator. The model circulation is diagnosed to show that while the induced QBO circulation in the lower stratosphere of the model is relatively symmetric about the equator, in the middle and upper stratosphere it is highly asymmetric and in the correct sense to give rise to the staircase feature. Model experiments are compared in which trajectories are advected by (1) the full three-dimensional circulation and (2) the residual mean circulation only, thereby removing the local effects of isentropic mixing by planetary waves on the trajectory distributions. These confirm the importance of advection by the QBO circulation at equatorial and subtropical latitudes. However, sharpening of the tracer gradients at the subtropical edge of the surf zone by the action of planetary waves is shown to be important in the formation of a subtropical “cliff ” between 10 and 20 mbar at 20°–30°N. The model results also suggest that the prominence of the summer subtropical peak in easterly phase years compared with westerly phase years is not entirely due to increased summer upwelling of the large-scale global circulation caused by the stronger planetary wave driving. The depression of the winter half of the equatorial peak by the local asymmetric QBO circulation is also shown to be important.
Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor

Random-based approaches and heuristics are commonly used in kernel concurrency testing due to the massive scale of modern kernels and corresponding interleaving space. The lack of accurate and scalable approaches to analyze concurrent kernel executions makes existing testing approaches heavily rely on expensive dynamic executions to measure the effectiveness of a new test. Unfortunately, the high cost incurred by dynamic executions limits the breadth of the exploration and puts latency pressure on finding effective concurrent test inputs and schedules, hindering the overall testing effectiveness. This paper proposes Snowcat, a kernel concurrency testing framework that generates effective test inputs and schedules using a learned kernel block-coverage predictor. Using a graph neural network, the coverage predictor takes a concurrent test input and scheduling hints and outputs a prediction on whether certain important code blocks will be executed. Using this predictor, Snowcat can skip concurrent tests that are likely to be fruitless and prioritize the promising ones for actual dynamic execution. After testing the Linux kernel for over a week, Snowcat finds ~17% more potential data races, by prioritizing tests of more fruitful schedules than existing work would have chosen. Snowcat can also find effective test inputs that expose new concurrency bugs with higher probability (1.4×~2.6×), or reproduce known bugs more quickly (15×) than state-of-art testing tools. More importantly, Snowcat is shown to be more efficient at reaching a desirable level of race coverage in the continuous setting, as the Linux kernel evolves from version to version. In total, Snowcat discovered 17 new concurrency bugs in Linux kernel 6.1, of which 13 are confirmed and 6 are fixed.
Impact of viruses on bacterial communities in marine systems

Memoria de tesis doctoral presentada por Julia Anna Boras para optar al grado de Doctora por la Universitat de Barcelona (UB), realizada bajo la direccion de la Dra. Ma Dolors Vaque Vidal y la Dra. Maria Montserrat Sala Farre del Institut de Ciencies del Mar (ICM-CSIC) y la Dra. Montserrat Vidal. -- 222 pages
Comparison of Node-Centered and Cell-Centered Unstructured Finite-Volume Discretizations: Inviscid Fluxes

Discretization of the viscous terms in current finite-volume unstructured-grid schemes are compared using node-centered and cell-centered approaches in two dimensions. Accuracy and efficiency are studied for six nominally second-order accurate schemes: a node-centered scheme, cell-centered node-averaging schemes with and without clipping, and cell-centered schemes with unweighted, weighted, and approximately mapped least-square face gradient reconstruction. The grids considered range from structured (regular) grids to irregular grids composed of arbitrary mixtures of triangles and quadrilaterals, including random perturbations of the grid points to bring out the worst possible behavior of the solution. Two classes of tests are considered. The first class of tests involves smooth manufactured solutions on both isotropic and highly anisotropic grids with discontinuous metrics, typical of those encountered in grid adaptation. The second class concerns solutions and grids varying strongly anisotropically over a curved body, typical of those encountered in high-Reynolds number turbulent flow simulations. Results from the first class indicate the face least-square methods, the node-averaging method without clipping, and the node-centered method demonstrate second-order convergence of discretization errors with very similar accuracies per degree of freedom. The second class of tests are more discriminating. The node-centered scheme is always second order with an accuracy and complexity in linearization comparable to the best of the cell-centered schemes. In comparison, the cell-centered nodeaveraging schemes are less accurate, have a higher complexity in linearization, and can fail to converge to the exact solution when clipping of the node-averaged values is used. The cell-centered schemes using least-square face gradient reconstruction have more compact stencils with a complexity similar to that of the node-centered scheme. For simulations on highly anisotropic curved grids, the least-square methods have to be amended either by introducing a local mapping of the surface based on a distance function commonly available in practical schemes or modifying the scheme stencil to reflect the direction of strong coupling. The major conclusion is that accuracies of the node centered and the best cell-centered schemes are comparable at equivalent number of degrees of freedom.
The environment, biogeography, and origin of the southern African Recent brachiopod fauna

The brachiopod fauna that presently lives in the seas off the coasts of Namibia, South Africa, and southern Moçambique comprises 35 named plus seven unnamed species belonging to 26 genera, making it one of the most diverse in the world. Within the fauna are some species that are confined to the warm waters of the east coast, some that are restricted to the cold west coast waters, and others that enjoy a more widespread distribution. The geographic distribution of species is believed to be controlled by the two major oceanographic systems operating off southern Africa, namely, the Agulhas Current on the east and the Benguela Upwelling System on the west. Among the species that live off the west and south coasts are many that appear to have evolved in situ during times of pronounced environmental stress since the late Miocene. The fauna living off the east coast shows strong similarity with others in the Indian Ocean and it is inferred that many of the species migrated into the South African region by way of the ocean current systems that were established by the mid-Pliocene. Descriptions of Xenobrochus naudei and the previously undescribed Argyrotheca sp. and Amphithyris cf. A. richardsonae are provided.
Strategy and game framing

The news media’s tendency to cover politics as a strategic game has long been a key concern among many political communication scholars (see, e.g., Cappella and Jamieson 1997; Farnsworth and Lichter 2011). When news coverage is focused on winners and losers, politicians’ and parties’ performances, and campaign strategies and tactics, scholars have argued that these frames ‘deprive’ the public of quality journalism, which provides political substance and insight into real issues.