Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPARISON OF DEMS DERIVED FROM INSAR AND OPTICAL STEREO TECHNIQUES

Optical stereo and Interferometric Synthetic Aperture Radar (InSAR) techniques were used to process the IRS-1C PAN stereo and ERS-1&2 tandem data respectively over Koyna and Mumbai test sites for digital elevation model (DEM) generation. For processing the data sets of opti cal stereo and InSAR, PCI OrthoEngine and Gamma softwares were used respectively. Heights from Survey of India topomaps (SOI) and GPS were used as ground control points in the process of DEM generation. A comparison was made between the DEMs of optical stereo and InSAR. It is observed that RMS error in the estimation of height of GCPs are 20 m and 9 m using optical stereo and InSAR respectively for Koyna test site. The same for Mumbai test site are 11 m and 16 m for the two techniques. By selecting random points from SOI maps, the RMS errors for koyna test site are 16 m and 30 m in height for optical stereo and InSAR respectively. The same for Mumbai test site using GPS data are 10 m and 13 m respectively. The DEMs were also compared in terms of contours drawn with an interval of 20 m. From the contours, we observed that optical stereo gave better contours than that of InSAR for Koyna test site. However, for Mumbai test site, the contours from InSAR are better than that of optical stereo. To exploit the com plementarities of the two techniques, DEMs were fused by replacing holes in the InSAR data with the DEM derived from optical stereo technique. We did not observe much change in the contours of InSAR DEM after fusion. It is concluded that better data sets are required for DEM generation using optical stereo. Using better phase unwrapping techniques, one may get better DEM using InSAR technique.
Modern Compiler Implementation in C

From the Publisher: This textbook describes all phases of a modern compiler: lexical analysis, parsing, abstract syntax, semantic actions, intermediate representations, instruction selection via tree matching, dataflow analysis, graph-coloring register allocation, and runtime systems. It includes good coverage of current techniques in code generation and register allocation, as well as functional and object-oriented languages, that is missing from most books. The most accepted and successful techniques are described in a concise way, rather than as an exhaustive catalog of every possible variant. Detailed descriptions of the interfaces between modules of a compiler are illustrated with actual C header files. A unique feature of the book is a well designed compiler implementation project in C, including front-end and "high-tech" back-end phases, so that students can build a complete working compiler in one semester.
Features extraction from hyperspectral images: an approach based on spectral, textural and spatial information applied to urban environments

A method to automatically extract features from hyperspectral images is presented. The technique has been tested on two images: one from MIVIS airborne sensor and the other from AHS airborne sensors. The methodology has been organized in two parts: the first one performed a cluster extraction based on Kohonen’s neural networks (unsupervised); the second used the pixels belonging to the extracted clusters to train a supervised neural network (supervised approach). Both neural networks have been trained with spectral and textural parameters. Segmentation parameters have been also considered to help road discrimination. The obtained results showed the advantages of automatic classification in urban areas with neural networks, achieving a satisfactory accuracy in feature extraction
A REVIEW OF PALATOGRAPHIC MEASUREMENT DEVICES DEVELOPED AT THE TU DRESDEN FROM 2011 TO 2022

Electropalatography is an established measurement technique in speech research and therapy. While it captures the time-varying pattern of contact between the tongue and the hard palate in great detail, it provides no information about the tongue position at places where the tongue does not touch the palate. Over the past 12 years, the authors of this paper developed several artiﬁcial palate prototypes that include optical distance sensors to capture additional information about the position of the tongue. Here, six of these prototypes are reviewed. At the end, a palate design is proposed that takes into account all the lessons learned from the developmental process.
Efficacy of non-medicinal approaches in treating side effects associated with cancer treatment

In the United States, the golden standard of treatment for patients afflicted with cancer is adjuvant chemotherapy treatment. Chemotherapy treatment has proven efficacy in eradicating cancer cells, but the treatment itself is associated with a variety of negative side effects. Side effects such as nausea and vomiting have been effectively treated with anti-emetics, but other negative side effects, such as fatigue and reduced quality of life, have no proven pharmacologic agents that effectively treat them. The goal of this paper is to identify alternative approaches to treat the side effects associated with chemotherapy treatment. This paper reviewed a large collection of literature concerned with determining the efficacy of exercise, music therapy, and spiritual techniques in reducing the magnitude of the negative symptoms associated with chemotherapy treatment. The data showed that exercise was the most effective therapy in reducing fatigue in cancer patients; meanwhile music therapy and spiritual techniques displayed efficacy in improving a patient’s overall quality of life. However, further studies are needed in order
Estimation of Rainfall Curve by using Functional Data Analysis and Ordinary Kriging Approach

Rainfall is an interesting phenomenon to investigate since it is directly related to all aspects of life on earth. One of the important studies is to investigate and understand the rainfall patterns that occur throughout the year. To identify the pattern, it requires a rainfall curve to represent daily observation of rainfall received during the year. Functional data analysis methods are capable to convert discrete data intoa function that can represent the rainfall curve and as a result, try to describe the hidden patterns of the rainfall. This study focused on the distribution of daily rainfall amount using functional data analysis. Fourier basis functions are used for periodic rainfall data. Generalized cross-validation showed 123 basis functions were sufficient to describe the pattern of daily rainfall amount. North and west areas of the peninsula show a significant bimodal pattern with the curve decline between two peaks at the mid-year. Meanwhile,the east shows uni-modal patterns that reached a peak in the last three months. Southern areas show more uniform trends throughout the year. Finally, the functional spatial method is introduced to overcome the problem of estimating the rainfall curve in the locations with no data recorded. We use a leave one out cross-validation as a verification method to compare between the real curve and the predicted curve. We used coefficient of basis functions to get the predicted curve. It was foundthatthe methods ofspatial prediction can match up with the existing spatial prediction methods in terms of accuracy,but it is better as the new approach provides a simpler calculation.
Innovations in Software Engineering Education: An Experimental Study of Integrating Active Learning and Design-based Learning

Significant advancements have been made in engineering education in recent years. An important outcome of these advancements is the integration and extension of fundamental pedagogies as part of engineering curricula, as well as the need for continued research into the effectiveness of these pedagogies on students’ learning within engineering knowledge domains. In this paper, we focus on an engineering educational research study in the domain of software engineering. This study considers the important research question of the efficacy of traditional lecture-homework-project teaching approaches compared to peer-to-peer active learning when combined with design-based learning approaches. The focus of the study is on participants’ qualitative assessment and self-reported motivation for learning fundamental programming and software engineering principles when comparing the teaching approaches. The participants are divided into a control group focusing on a traditional teaching approach and an experimental group where the teaching includes a unique integration of peer-to-peer learning and designbased pedagogy. Results from this study demonstrate that software engineering concepts taught in either pedagogical framework are well received by the students, and both groups show distinct improved performance relative to entering the course. However, a peer-to-peer active environment and designbased learning framework are received with much greater interest, engagement, sense of relevance, and intrinsic motivation, especially related to particular classroom and lab experiences.
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow

Hardware. We implemented our models in Python3.8 and Pytorch1.10 [7]. Experiments are run on NVIDIA GTX3060 GPUs. Baseline method. We train our baseline model on 256× 256 image. During all experiments, the training batch size is fixed to 2. Model parameters are updated using Adam optimizer [6] with a constant learning rate of 2× 10−4, epsilon of 1× 10−4, weight decay of 1×10−5, and beta parameters of (0.5, 0.9). In addition, we apply gradient clipping with a maximum gradient of 1.0 for training stability. Pre-trained method. For the pre-trained version of PyramidFlow, we used ImageNet-pretrained ResNet18 from torchvision. The pre-trained encoder is the first two layers of ResNet18 for extracting the features from 1024× 1024 image to 256× 256 features with 64 channels.
Divergence Time Estimation using BEAST v2.2.0 Dating Species Divergences with the Fossilized Birth-Death Process

Estimating branch lengths in proportion to time is confounded by the fact that the rate of evolution and time are intrinsically linked when inferring genetic differences between species. A model of lineage-specific substitution rate variation must be applied to tease apart rate and time. When applied in methods for divergence time estimation, the resulting trees have branch lengths that are proportional to time. External node age estimates from the fossil record or other sources are necessary for inferring the real-time (or absolute) ages of lineage divergences (Figure 1).
Some perspectives on hydrological prediction and the role of PUB

This chapter is an outgrowth of an invited “perspectives” talk at the PUB JapanAustralia Workshop held at the University of Western Australia in February 2004. For that presentation, I was asked to offer “personal perspectives” on PUB, and its planned activities. I selected three problems in hydrological prediction that I believe have implications for PUB, and the hydrological community more generally. These problems are: (a) prediction of the hydrological consequences of land use/land cover change; (b) understanding factors that control hydrological predictability in the context of seasonal streamflow forecasting; and (c) development of improved methods for predicting the hydrological consequences of climate change in a management setting. For each area, I summarize the role of the specific problem for “ungauged basins”, which I interpret somewhat broadly (i.e. specification of hydrological conditions at a point within a river basin that is ungauged qualifies, even if gauges do exist somewhere in the river basin). While my focus here is on water quantity, all three problems have implications for water quality as well. I should note that, in this chapter, I write in a less structured format than I would for a formal journal publication. My intent is to be somewhat speculative as to how research in hydrology relevant to PUB is evolving in these three particular areas, and where opportunities lie. While I cite publications where they are relevant, I make no attempt to review exhaustively work that has been published to date. Instead, the citations I include are meant to be illustrative.
Banco Central de Chile Documentos de Trabajo Central Bank of Chile Working Papers

Saving rates display considerable variation across countries and over time. This paper investigates the factors behind these broad saving disparities using a large cross-country time-series data set constructed for the World Bank Saving project. The paper assesses empirically the policy and nonpolicy determinants of saving. It follows the empirical literature on saving by using an encompassing empirical approach including a number of potentially relevant saving determinants. However, the paper extends the literature in several dimensions. It uses the largest data set on aggregate saving measures assembled to date. It explores both national and private saving determinants. It uses panel instrumental variable techniques that allow correcting for endogeneity and heterogeneity through “internal” instruments. Finally, it performs a variety of robustness checks to changes in estimation procedures, data samples and model specification. _________________________ We thank Orazio Attanasio, Angus Deaton, Roberto Rigobón, Fabio Schiantarelli and Jaume Ventura for helpful discussions, and seminar participants at MIT and the Econometric Society meetings in Lima and Berlin for comments on previous drafts. However, they are not responsible for any errors. We are also grateful to Humberto López and George Monokroussos for excellent assistance. The views expressed in this paper are ours only and do not necessarily represent those of the Central Bank of Chile, The World Bank, its Executive Directors, or the countries they represent. Email address: nloayza@condor.bcentral. cl ; kschmidt@condor.bcentral. cl
Beta-blockers in congestive heart failure. A Bayesian meta-analysis.

PURPOSE Congestive heart failure is an important cause of patient morbidity and mortality. Although several randomized clinical trials have compared beta-blockers with placebo for treatment of congestive heart failure, a meta-analysis quantifying the effect on mortality and morbidity has not been performed recently. DATA SOURCES The MEDLINE, Cochrane, and Web of Science electronic databases were searched from 1966 to July 2000. References were also identified from bibliographies of pertinent articles. STUDY SELECTION All randomized clinical trials of beta-blockers versus placebo in chronic stable congestive heart failure were included. DATA EXTRACTION A specified protocol was followed to extract data on patient characteristics, beta-blocker used, overall mortality, hospitalizations for congestive heart failure, and study quality. DATA SYNTHESIS A hierarchical random-effects model was used to synthesize the results. A total of 22 trials involving 10 135 patients were identified. There were 624 deaths among 4862 patients randomly assigned to placebo and 444 deaths among 5273 patients assigned to beta-blocker therapy. In these groups, 754 and 540 patients, respectively, required hospitalization for congestive heart failure. The probability that beta-blocker therapy reduced total mortality and hospitalizations for congestive heart failure was almost 100%. The best estimates of these advantages are 3.8 lives saved and 4 fewer hospitalizations per 100 patients treated in the first year after therapy. The probability that these benefits are clinically significant (>2 lives saved or >2 fewer hospitalizations per 100 patients treated) is 99%. Both selective and nonselective agents produced these salutary effects. The results are robust to any reasonable publication bias. CONCLUSIONS beta-Blocker therapy is associated with clinically meaningful reductions in mortality and morbidity in patients with stable congestive heart failure and should be routinely offered to all patients similar to those included in trials.
Understanding and predicting size selection in diamond-mesh cod ends for danish seining: A study based on sea trials and computer simulations

Danish seining is an important ﬁ shing method used to harvest demersal species. Knowledge about the size selectivity of different demersal species with this type of ﬁ shing gear is therefore of importance for managing the exploitation of marine resources. However, there are only limited data on size selection in cod ends in this ﬁ shery. Sea trials were therefore carried out to collect size selectivity data for Atlantic Cod Gadus morhua , Haddock Melanogrammus aegle ﬁ nus , and Witch Flounder Glyptocephalus cynoglossus for a diamond-mesh cod end. For all three species, the data were best described by a double logistic selection curve, implying that two different size selection processes occur in the cod end. The double selection process could be explained by an additional selection process occurring through slack meshes. The results imply that the escapement of 46% and 34% of the larger Atlantic Cod and Haddock (those above 48 cm), respectively, would be through wide-open or slack meshes. Since these mesh states are only likely to be present in the latest stage of the ﬁ shing process (e.g., when the cod end is near the surface), a large fraction of the bigger ﬁ sh probably escaped near the surface, which might in ﬂ uence their likelihood of survival. Furthermore, based on the models established for explaining the experimental size selection, we were able to predict the effect of changing the mesh size on cod end size selection in the Danish seine ﬁ shery.
Digital Light Processing 3D Printing for Micro�uidic Chips with Enhanced-resolution via Dosing-and Zoning-controlled vat Photopolymerization

Conventional manufacturing techniques to fabricate micro�uidic chips like soft lithography and hot embossing processes show limitations including di�culty in preparing multiple-layered structures, cost-and labor-consuming fabrication process, and low productivity. Digital light processing (DLP) technology has recently emerged as a cost-ecient microfabrication approach for 3D printing of micro�uidic chips, wherein, however, the fabrication resolution for microchannel is still limited to sub-100 microns at best. We hereby developed an innovative DLP printing strategy for high-resolution and scalable microchannel fabrication via dosing-and zoning-controlled vat photopolymerization (DZC-VPP). Speci�cally, we proposed a modi�ed mathematical model to precisely predict the accumulated UV irradiance for resin photopolymerization, thereby providing guidance for the fabrication of microchannel with enhanced resolution. By ne-tuning the printing parameters including optical irradiance, exposure time, projection region and step distance, we can precisely tailor the penetration irradiance stemming from the photopolymerization of the neighboring resin layers, therefore avoiding channel blockage due to UV over-exposure or compromised bonding stability owing to insu�cient resin curing. Remarkably, this strategy can enable scalable and biocompatible fabrication of micro�uidic drop-makers that can be used for cell encapsulation. In general, the current DZC-VPP method can enable major advances in precise and scalable microchannel fabrication, and represents a signi�cant step forward for widespread applications of the microuidics-based techniques in biomedical �elds.
Towards a Deeper Understanding of the Graduate Student and Faculty-Advisor Relationship

The relationship between graduate students and faculty members is a topic of great interest in higher education. While there is a wealth of theoretical and empirical research on the subject, discussions overlook the social dynamics that shape these relationships. This article seeks to fill this gap by presenting a conceptual framework that considers crucial components, including interpretations, reciprocal roles and responsibilities, relational factors, and effects, in analysing graduate student-faculty advisor relationships. By exploring these elements, the article offers a comprehensive framework that accounts for the nuances and limitations of these relationships and provides recommendations for best practices.
to Arrhythmogenic Substrate in Postinfarction Ventricular Tachycardia: Assessment of Regional Myocardial Wall Thinning at Multidetector Computed Tomography Correlates

Background —A majority of patients undergoing ablation of ventricular tachycardia have implanted devices precluding substrate imaging with delayed-enhancement MRI. Contrast-enhanced multidetector computed tomography (MDCT) can depict myocardial wall thickness with submillimetric resolution. We evaluated the relationship between regional myocardial wall thinning (WT) imaged by MDCT and arrhythmogenic substrate in postinfarction ventricular tachycardia. Methods and Results —We studied 13 consecutive postinfarction patients undergoing MDCT before ablation. MDCT data were integrated with high-density 3-dimensional electroanatomic maps acquired during sinus rhythm (endocardium, 509±291 points/map; epicardium, 716±323 points/map). Low-voltage areas (<1.5 mV) and local abnormal ventricular activities (LAVA) during sinus rhythm were assessed with regard to the WT. A significant correlation was found between the areas of WT <5 mm and endocardial low voltage (correlation-R =0.82; P =0.001), but no such correlation was found in the epicardium. The WT <5 mm area was smaller than the endocardial low-voltage area (54 cm 2 [Q1–Q3, 46–92] versus 71 cm 2 [Q1–Q3, 59–124]; P =0.001). Among a total of 13 060 electrograms reviewed in the whole study population, 538 LAVA were detected and analyzed. LAVA were located within the WT <5 mm (469/538 [87%]) or at its border (100% within 23 mm). Very late LAVA (>100 ms after QRS complex) were almost exclusively detected within the thinnest area (93% in the WT<3 mm). Conclusions —Regional myocardial WT correlates to low-voltage regions and distribution of LAVA critical for the generation and maintenance of postinfarction ventricular tachycardia. The integration of MDCT WT with 3-dimensional electroanatomic maps can help focus mapping and ablation on the culprit regions, even when MRI is precluded by the presence of implanted devices. ( Circ Arrhythm Electrophysiol . 2013;6:342-350.)
Bird's Head approaches : Irian Jaya sudies- a programme for interdisciplinary research

The environment and geologic setting of the Bird's Head, Irian Jaya preliminary report on Makbon archaeology, the bird's Head, Irian Jaya room with a view - an excavation in Toe cave, Ayamaru district, Bird's Head, Irian Jaya Kria cave - an 8000-year occupation sequence from the Bird's Head, Irian Jaya notes on some lowland rainforests of Bird's head peninsula, Irian Jaya initial results of a botanical species richness study in the Ayawasi area, Irian Jaya New Guinea, orchid paradise. (Part contents).