Miracle-dz/UniFAR-FTUs huggingface dataset:
Unpredictable Malnutrition and Short-Term Outcomes after Single Anastomosis Sleeve Ileal (SASI) Bypass in Obese Patients

Background/Introduction. The single anastomosis sleeve ileal (SASI) bypass is a novel metabolic/bariatric surgery operation based on minigastric bypass operation and Santoro’s operation. Objectives. The aim of this study is to present the clinical outcomes of SASI bypass as a treatment alternative for patients with morbid obesity. Methods. This study was a prospective follow-up of morbidly obese patients who underwent SASI bypass at Helwan University Hospital between March 1, 2019, and March 2020. The surgical procedure involved sleeve gastrectomy, followed by the anastomosis of the ileum, which was brought and hand-sewn 4 cm length side to side with the antrum, at a distance of 250 cm from the ileocecal valve. The data collected for the study included the resolution of comorbidities, incidence of gallstones, and one-year morbidity. Results. The mean age of the studied patients (n = 30) was 44.13 ± 8.9 years. The mean BMI of the studied patients was 47.3 ± 7.6 kg/ht2. All patients were morbidly obese for an average of 24 years. Postoperatively, 48% of the patients (n = 13) developed gallstones (GS), and the formation of GS was significantly higher in patients with longer durations of obesity ( P = 0.009) and rapid weight loss. There was a significant decrease in the incidence of GS after 12 months postoperatively ( P < 0.05). 63% of the patients (n = 19) had malnutrition, and 15 cases required revision due to the fear of further weight loss. Revision and malnutrition were significantly higher among male patients than female patients and among patients with longer durations of obesity ( P ≤ 0.001). Conclusion. The SASI bypass may be an effective bariatric and metabolic surgery that can achieve satisfactory weight loss and improvement in medical comorbidities. However, our study highlights the potential risks of severe malnutrition and unpredictable weight loss; patient selection and duration of obesity may play a role in mitigating these risks.
Optimal laser wavelength for efficient laser power converter operation over temperature

A temperature dependent modeling study is conducted on a GaAs laser power converter to identify the optimal incident laser wavelength for optical power transmission. Furthermore, the respective temperature dependent maximal conversion efficiencies in the radiative limit as well as in a practically achievable limit are presented. The model is based on the transfer matrix method coupled to a two-diode model, and is calibrated to experimental data of a GaAs photovoltaic device over laser irradiance and temperature. Since the laser wavelength does not strongly influence the open circuit voltage of the laser power converter, the optimal laser wavelength is determined to be in the range where the external quantum efficiency is maximal, but weighted by the photon flux of the laser.
Uncovering Hidden Insights with Long-Memory Process Detection: An In-Depth Overview

Long-memory models are frequently used in finance and other fields to capture long-range dependence in time series data. However, correctly identifying whether a process has long memory is crucial. This paper highlights a significant limitation in using the sample autocorrelation function (ACF) to identify long-memory processes. While the ACF establishes the theoretical definition of a long-memory process, it is not possible to determine long memory by summing the sample ACFs. Hassani’s −12 theorem demonstrates that the sum of the sample ACF is always −12 for any stationary time series with any length, rendering any diagnostic or analysis procedures that include this sum open to criticism. The paper presents several cases where discrepancies between the empirical and theoretical use of a long-memory process are evident, based on real and simulated time series. It is critical to be aware of this limitation when developing models and forecasting. Accurately identifying long-memory processes is essential in producing reliable predictions and avoiding incorrect model specification.
Locally preserving PCA method based on manifold learning and its application in fault detection

A novel dimensionality reduction and feature extraction method based on manifold learning,locally preserving principal component analysis(LPPCA) is proposed.In order to overcome the defects that the traditional PCA can only keep the structure in global and can not maintain the manifold structure in local,the idea of locality preserving is incorporated into the optimization goals of the PCA.The fault detection based on LPPCA is researched.The validity and superiority of the LPPCA are verified by the S-Curve numerical simulation,Swiss-roll surface numerical simulation and TE process simulation.
V , I and Gunn z photometry of faint bulge globular clusters: Terzan 10, ESO 456 SC 38 and UKS 1 ?

We present optical colour-magnitude dia- grams for the faint bulge globular clusters Terzan 10, ESO 456 SC 38 and UKS 1. The giant branches are detected but the horizontal branch is near the observa- tional cuto for the former two clusters and is not detected in UKS 1. We provide estimates of metallicity, reddening and distance for these clusters, some of these values de- termined for the rst time.
Retrieval of ozone profiles from geostationary infrared sounder observations using principal component analysis

The present work proposes a novel method to derive vertical profiles of ozone from infrared measurements on board geostationary sounders. The methodology is based on Principal Component Analysis (PCA) and has been applied over a large geographical region from 45°S to 45°N. It has been found that the first two principal components (PCs) together explain 71% of the total variance of the ozone profiles and are statistically significant and quite stable. Therefore, an algorithm for the retrieval of the first two PCs has been proposed. The magnitude of the retrieval error using PCA is significantly smaller than the variance of the dataset in the atmospheric layer from 200.0 to 5.0 hPa, indicating that the skill of the new algorithm is very high. The new algorithm was applied to the sounder observations from GOES‐13 (Geostationary Operational Environmental Satellite) and INSAT‐3D (Indian National Satellite) for the validation study. The validation of GOES‐13 retrieved profiles with the ozonesonde has shown that the algorithm is working better in the stratosphere than in the troposphere. Furthermore, the GOES‐13 retrieved ozone was also compared with the SBUV/2 (Solar Backscatter Ultraviolet) ozone. Overall the %RMSD (percentage root‐mean‐square deviation) values were within 30%. However, the values were within 10% above 20 hPa for most of the cases. The comparison of INSAT‐3D retrieved profiles with SBUV/2 and OMPS (Ozone Mapping and Profiler Suite) profiles have shown results almost similar to GOES‐13. The ozone values retrieved by using the existing algorithms and the algorithm presented in this work have been compared. It is found that the ozone retrieval has improved significantly with the algorithm presented in this work.
Numerical analysis of 2D vortex‐induced oscillations of a circular cylinder

A finite element version of the direct Laplacian method is applied to flows around an oscillating body, using the arbitrary Langrangian-Eulerian (ALE) formulation for the partial domain around the body. This numerical calculation has been successfully conducted for vortex-induced cross-flow oscillations of a circular cylinder under the same conditions as for Anagnostopoulos and Bearman's experiment, in which the Reynolds number ranged between 90 and 150, a regime where the vortex street is fully laminar. The numerical calculation results have been compared with the experimental data in order to check the calculational accuracy.
Normative echocardiography data of myocardial adaptation to extrauterine life: a review of prospective studies

Recent research has increased focus and interest in characterizing the physiology of the transition circulation using echocardiography. Critique of published normative neonatal echocardiography data among healthy term neonates has not been performed. We have performed a comprehensive literature review using the key terms: cardiac adaptation, hemodynamics, neonatal transition, term newborns. Studies were included if they had reported echocardiography indices of cardiovascular function in the presence of maternal diabetes, intrauterine growth restricted newborns and prematurity and had a comparison group of healthy term newborns within first seven postnatal days. Sixteen published studies evaluating transitional circulation in healthy newborns were included. There was marked heterogeneity in the methodologies used; specifically, inconsistency in time of evaluation and imaging techniques used makes it challenging to determine specific trends of expected physiologic changes. Some studies revealed nomograms for echocardiography indices, though limitations persist in terms of sample size, number of reported parameters and consistency of measurement technique. A comprehensive standardized echocardiography framework which includes consistent techniques for assessment dimensions, function, blood flow, pulmonary/systemic vascular resistance, and shunts pattern is warranted to ensure consistency in the use of echocardiography to guide care of healthy and sick newborns.
New equation for the speed of sound in natural waters (with comparisons to other equations)

A new equation for the speed of sound in sea water has been developed with validity not only for realistic combinations of the parameters salinity, temperature, and pressure, but with extension to pure water as well. This new equation, referred to as NRL II, has a standard deviation of 0.05 m/sec. Tables are presented comparing calculations using this new model to each of eight earlier equations. Graphs are also included indicating approximate corrections that could be applied to existing sound speed profiles, but it is recommended that such profiles be recalculated and new ones obtained according to NRL II.
Addressing structural hurdles for metadata extraction from environmental impact statements

Natural language processing techniques can be used to analyze the linguistic content of a document to extract missing pieces of metadata. However, accurate metadata extraction may not depend solely on the linguistics, but also on structural problems such as extremely large documents, unordered multi‐file documents, and inconsistency in manually labeled metadata. In this work, we start from two standard machine learning solutions to extract pieces of metadata from Environmental Impact Statements, environmental policy documents that are regularly produced under the US National Environmental Policy Act of 1969. We present a series of experiments where we evaluate how these standard approaches are affected by different issues derived from real‐world data. We find that metadata extraction can be strongly influenced by nonlinguistic factors such as document length and volume ordering and that the standard machine learning solutions often do not scale well to long documents. We demonstrate how such solutions can be better adapted to these scenarios, and conclude with suggestions for other NLP practitioners cataloging large document collections.
TV COMERCIAL PRODUCTION STRUCTURE FOR LIMITED BUDGET

Making a great television commercial is an art in itself. Twenty years ago, there was no official available information about the steps to follow to prepare a TV commercial throughout all phases. The main reason for that knowledge gap is that the old method used was based on multiple agencies and vendors working on the same campaign, so the single groups do not have to know everything; they just needed to understand their own role and responsibility. In the last years, video production and post-production industries are changing very fast. Digital retooling is taking place, causing dramatic industry restructuring. The old player’s large post-production facilities using dedicated, proprietary equipment are being replaced by new players, small production companies, using personal computers to produce a different type of production media with the same professional result, at a lower cost. Nowadays, the significant reduction of video production costs, the more and more disappearing barriers to access video, as well as brands looking to spend less and get more has forced many advertisers to renounce to big agencies. Actually, with the new technology decreasing the cost of cameras and computers is possible to produce a TV commercial in all its phases (starting from concept, writing, production, and post-production (including animation and compositing) to final video), with a small group of professionals. The one-stop-shop is becoming a growing business model. Many creative artist and directors from big agencies have resigned to establish their own production companies, and groups of talented young people are constantly gathering from all over the world. This study will help to understand the structure and workflow of producing a TV commercial, starting from the copywriting stage until the final product, and passing through the classical production steps of cinematography and motion pictures, such as pre-production, production and post-production, understanding and analyzing every significant step of structure until the initial written concept will become a motion image. In order to reach the objective of this study, I read and reviewed several books and web materials on different topics about stages of the production, planning, budgeting, shooting and editing, equipment and techniques, communication and documentation.
Bayesian Calibration of Inexact Computer Models

ABSTRACT Bayesian calibration is used to study computer models in the presence of both a calibration parameter and model bias. The parameter in the predominant methodology is left undefined. This results in an issue, where the posterior of the parameter is suboptimally broad. There has been no generally accepted alternatives to date. This article proposes using Bayesian calibration, where the prior distribution on the bias is orthogonal to the gradient of the computer model. Problems associated with Bayesian calibration are shown to be mitigated through analytic results in addition to examples. Supplementary materials for this article are available online.
Performance scaling of inductive pulsed plasma thrusters with coil angle and pulse rate

A circuit model for an inductive pulsed plasma thruster was developed in order to investigate the performance of thrusters with conical coils; the model can accommodate cone-angles from 0° (a straight theta-pinch coil) to 90° (a planar coil). The plasma is treated as a deformable slug that moves both radially and axially in response to the force applied by the coil. The radial equation of motion includes a restoring force due to the plasma pressure, which is derived under the assumption that the electron population is isothermal, while the ions are isothermal, adiabatic, or shock-heated depending on the magnitude and sign of the radial velocity. The inductance of the coil and the plasma slug, and their mutual inductance, was determined using QuickField. A local maximum in efficiency and specific impulse was found for angles less than 90°; however the absolute maximum for both these quantities occurs at 90°. High pulse-rate operation was found to yield dynamic efficiencies (excluding ionization cost) as high as 60–70% for ISP in the range of 3000–5000 s, even for a device with modest jet-power (5 kW). This mode of operation also permits elimination of the pulsed gas valve, which would be a significant system-level simplification. An alternate mode of inductive recapture, in which the current is interrupted at the second zero-crossing, was found to result in a sacrifice of only 1–2% in efficiency, while offering other significant system-level benefits for this kind of thruster.
Piezoelectricity in tungsten bronze crystals

The range of piezoelectric properties available in tungsten bronze crystals reviewed includes both longitudinal and shear mode responses. Specific crystal compositions investigated include Sr1-xBaxNb2O6 (SBN), Ba2-xSrxK1-yNayNb5O15 (BSKNN), K3Li2Nb5O15 (KLN), (Ba, Sr)6Ti2Nb8O30 (BSTN), Sr2-x-CaxNaNb5O15 (SCNN), Sr2KNb5O15 (SKN) and Pb1-xBaxNb2O6 (PBN). SBN, SCNN and SKN exhibit large piezoelectric d33 coefficients, while BSKNN, PBN:60 and KLN have large d15 shear coefficients. In La3+ -modified SBN:60, d33 can exceed 1000 pC/N, although its relaxor character increases with increasing La3+ content. The role of dopants in the 12-, 9- and 6-fold coordinated crystallographic sites is described with respect to the relaxor character of SBN crystals. The high piezoelectric and dielectric constants in these single crystals suggest their use in high frequency ultrasonic tomography. Both piezoelectric and electrostrictive options would appear to be available in the bronzes and the very high perfection of the availa.
Rapid fabrication and packaging of AlGaN/GaN high-temperature ultraviolet photodetectors using direct wire bonding

Cost-effective fabrication and rapid packaging of AlGaN/GaN ultraviolet (UV) photodetectors was demonstrated using direct wire bonding between aluminum wires and a GaN surface. The fabricated photodetectors showed stable dark current levels through the highly conductive 2D electron gas (2DEG), which was electrically connected to aluminum bonding wires. At room temperature, the current passing through the 2DEG rapidly increased upon exposure to UV light because of the generated electrons excited in the AlGaN/GaN layers. In addition, the devices showed consistent and reliable operation at high temperatures up to 100 °C with mechanically stable bonding wires (pull strength of 3–5.2 gram-force), supporting the use of direct wire bonding techniques to fabricate simple AlGaN/GaN sensors for UV detection within harsh environments, such as downhole and space exploration applications.
Alginate-Chitosan Microgel Particles, Water–Oil Interfacial Layers, and Emulsion Stabilization

In this work, alginate-chitosan microgel particles were formed at different pH levels with the aim of using them as viscoelastic interfacial layers, which confer emulsion stability to food systems. The particles’ size and structural characteristics were determined using laser diffraction, confocal laser microscopy (CLSM), and time-domain nuclear magnetic resonance (TD-NMR). The pH affected the microgel characteristics, with larger particles formed at lower pH levels. T2 relaxation measurements with TD-NMR did not reveal differences in the mobility within the particles for the different pH levels, which could have been related to the more or less swollen structure. The rate of adsorption of the particles at the sunflower oil–water interface differed between particles formed at different pH levels, but the equilibrium interfacial tension of all systems was similar. Higher interfacial dilatational viscoelasticity was obtained for the systems at lower pH (3, 4, 5), with G’ reaching 13.6 mN/m (0.1 Hz) at pH 3. The interfacial rheological regime transitioned from a linear elastic regime at lower pH to a linear but more viscoelastic one at higher pH. The thicker, highly elastic interfacial layer at low pH, in combination with the higher charges expected at lower pH, was related to its performance during emulsification and the performance of the emulsion during storage. As revealed by laser diffraction and CLSM, the droplet sizes of emulsions formed at pH 6 and 7 were significantly larger and increased in size during 1 week of storage. CLSM examination of the emulsions revealed bridging flocculation with the higher pH. Nevertheless, all emulsions formed with microgel systems presented macroscopic volumetric stability for periods exceeding 1 week at 25 °C. A potential application of the present systems could be in the formation of stable, low-fat dressings without the addition of any emulsifier, allowing, at the same time, the release of the bioactive compounds for which such particles are known.
Computations and Moduli Spaces for Non-archimedean Varieties

Tropical geometry and non-archimedean analytic geometry study algebraic varieties over a field K with a non-archimedean valuation. One of the major goals is to classify varietiess over K by intrinsic tropical properties. This thesis will contain my work at UC Berkeley and my joint work with others towards the goal.Chapter 2 discusses some moduli spaces and their tropicalizations. The image of the complement of a hyperplane arrangement under a monomial map can be tropicalized combinatorially using matroid theory. We apply this to classical moduli spaces that are associated with complex reflection arrangements. Starting from modular curves, we visit the Segre cubic, the Igusa quartic, and moduli of marked del Pezzo surfaces of degrees 2 and 3. Our primary example is the Burkhardt quartic, whose tropicalization is a 3-dimensional fan in 39-dimensional space. This effectuates a synthesis of concrete and abstract approaches to tropical moduli of genus 2 curves.Chapter 3 develops numerical algorithms for Mumford curves over the field of p-adic numbers. Mumford curves are foundational to subjects dealing with non-archimedean varieties, and it has various applications in number theory. We implement algorithms for tasks such as: approximating the period matrices of the Jacobians of Mumford curves; computing the Berkovich skeleta of their analytifications; and approximating points in canonical embeddings.Chapter 4 discusses how to tropicalize del Pezzo surfaces of degree 5, 4 and 3. A generic cubic surface P^3 is a Del Pezzo surface of degree 3, which is obtained by blowing up the plane at 6 points. We study its tropicalization by taking the intrinsic embedding of the surface surface minus its 27 lines. Our techniques range from controlled modifications to running gfan on the universal Cox ideal over the relevant moduli space. We classify cubic surfaces by combinatorial properties of the arrangement of 27 trees obtained from the image of the 27 lines under this tropicalization.Chapter 5 discusses the classical Cayley-Bacharach theorem, which states that if two cubic curves on the plane intersect at 9 points, then the 9th point is uniquely determined if 8 of the points are given. The chapter derives a formula for the coordinates of the 9th point in terms of the coordinates of the 8 given points. Furthermore, I will discuss the geometric meaning of the formula, and how it is related to del Pezzo surfaces of degree 3.
Clasificación de eventos en bitácoras de perforación de pozos petroleros empleando técnicas de clasificación de textos

Uno de los procesos de mayor importancia en la exploración y explotación de hidrocarburos es la perforación de pozos. Los costos asociados al proceso son muy altos por lo que las compañías que desarrollan esta actividad buscan estrategias que les permita disminuir los tiempos de perforación de sus pozos, garantizando de esta forma la reducción de los costos. Una forma de lograr la reducción de los tiempos de perforación es tener la posibilidad de predecir o detectar eventos que ocasionen retrasos. Teniendo en cuenta esta problemática, en este trabajo se aplicaron técnicas de clasificación de texto y aprendizaje automatizado para clasificar los eventos que se registran en las bitácoras del Sistema de Información Operativa de Perforación (SIOP) de PEMEX Exploración y Producción. Para tratar con el problema de la alta dimensionalidad presente en este tipo de proceso de clasificación de texto se empleó un enfoque de envoltura que utiliza un algoritmo genético como herramienta para la selección de características.