Miracle-dz/UniFAR-FTUs huggingface dataset:
Congestive Heart Failure Patients’ Pulse Rate Progression and Time to Death at Debre Tabor Referral Hospital, Ethiopia

Background. Heart failure is a progressive condition marked by worsening symptoms such as shortness of breath, coughing, exhaustion and lethargy, fluid retention with swelling of the legs and abdomen, and a reduced ability to exercise. As a result, this study aims to use a joint model application to determine the joint risk factors of longitudinal change in pulse rate and time to death of congestive heart failure patients and their association admitted to a hospital. Methods. A retrospective study was undertaken on congestive heart failure patients admitted to the Debre Tabor Referral Hospital from January 2016 to December 2019. A statistical joint modeling strategy was employed to match the repeated biomarker pulse rate and a survival outcome at the same time. A total of 271 patients with congestive heart failure were chosen. Data were analyzed with R statistical software via joineRML. Results. According to the findings, the association between longitudinal changes in pulse rate and time to death in heart failure patients is statistically significant. Sex, residence, left ventricular injection fraction, New York Heart Association class, and diabetes mellitus were all found to be significant risk factors for congestive heart failure patients’ short survival time to death. Age, sex, residence, hypertension, left ventricular injection fraction, congestive heart failure, diabetes mellitus, tuberculosis, and etiology were all significant contributors in pulse rate progression. Conclusion. The computed association parameters revealed subject-specific values. The subject-specific linear time slope of PR measurement was positively related to the hazard rate of time to death of CHF patients in the study area. To reduce the risk level of CHF, health professionals, governmental organizations, and nongovernmental organizations must promote and allocate a suitable amount of budget for the treatment of CHF patients.
Crosstalk between Sodium–Glucose Cotransporter Inhibitors and Sodium–Hydrogen Exchanger 1 and 3 in Cardiometabolic Diseases

Abnormality in glucose homeostasis due to hyperglycemia or insulin resistance is the hallmark of type 2 diabetes mellitus (T2DM). These metabolic abnormalities in T2DM lead to cellular dysfunction and the development of diabetic cardiomyopathy leading to heart failure. New antihyperglycemic agents including glucagon-like peptide-1 receptor agonists and the sodium–glucose cotransporter-2 inhibitors (SGLT2i) have been shown to attenuate endothelial dysfunction at the cellular level. In addition, they improved cardiovascular safety by exhibiting cardioprotective effects. The mechanism by which these drugs exert their cardioprotective effects is unknown, although recent studies have shown that cardiovascular homeostasis occurs through the interplay of the sodium–hydrogen exchangers (NHE), specifically NHE1 and NHE3, with SGLT2i. Another theoretical explanation for the cardioprotective effects of SGLT2i is through natriuresis by the kidney. This theory highlights the possible involvement of renal NHE transporters in the management of heart failure. This review outlines the possible mechanisms responsible for causing diabetic cardiomyopathy and discusses the interaction between NHE and SGLT2i in cardiovascular diseases.
Catalytic Process in Producing Green Aromatics through Fast Pyrolysis of Wood of Five Tropical Fast Growing Trees Species

The generation of liquid fuels and chemicals is potential through a catalytic fast pyrolysis (CFP) which is a rapid, inexpensive, and promising method utilizing tropical wood biomass as starting material. There is a little known in the potential of wood biomass from tropical fast-growing trees as starting materials for the production of liquid fuel and chemicals. In this study the formation of aromatics by pyrolytic-gas chromatography/mass spectroscopy (Py-GC/MS) is evaluated on the effect of wood species with different characteristics and its cellulose component to the formation of aromatics. Fast pyrolysis of eucalyptus wood characterized with low content of ash and high percentages of hollocellulose and α-cellulose produced much high relative peaks of levoglucosan and small relative peaks of lignin derived products. Meanwhile high content of vollatile matter and high crystallinity of cellulose attributed balsa and jabon woods as feedstock for fast pyrolysis. The catalytic process in fast pyrolysis of eucalyptus decomposed the most of oxygenated compound such as levoglucosan and furfural into aromatics in the presence of ZSM-5. Coke formation on the surface catalyst might lead partly of decomposition of levoglucosan and furfural to form aromatics in the catalytic fast pyrolysis of balsa wood. Cellulose component determined on the formation of benzene, toluene, styrene, p-xylene, indane, indene, and naphthalene in catalytic fast pyrolysis of wood.
Calibration and Stochastic Modelling of Inertial Navigation Sensor Erros

The integration of Global Positioning System (GPS) with an inertial measurement unit (IMU) has been widely used in many applications of positioning and orientation. The performance of a GPS-aided inertial integrated navigation system is mainly characterized by the ability of the IMU to bridge GPS outages. This basically depends on the inertial sensor errors that cause a rapid degradation in the integrated navigation solution during periods of GPS outages. The inertial sensor errors comprise systematic and random components. In general, systematic errors (deterministic) can be estimated by calibration and therefore they can be removed from the raw observations. Random errors can be studied by linear or high order nonlinear stochastic processes. These stochastic models can be utilized by a navigation filter such as, Kalman filter, to provide optimized estimation of navigation parameters. Traditionally, random constant (RC), random walk (RW), Gauss-Markov (GM), and autoregressive (AR) processes have been used to develop the stochastic model in the navigation filters. In this technical note, the inertial sensor errors are introduced and discussed. Subsequently, a six-position laboratory calibration test is described. Then, mathematical models for RC, RW, GM, and AR stochastic models with associated variances for gyros and accelerometer random errors are presented along with a discussion regarding ongoing research in this field. Also, the implementation of a stochastic model in a loosely coupled INS/GPS navigation filter is explained.
Conducting Ethnographic Studies, Observational Research, and Narrative Inquiry

Cultural divide: A study of African-American college-level This article presents a "conversation" among the authors about issues in writing qualitative research reports. They address potential problems researchers may face when reporting their findings and discuss how theory and methodology shape qualitative research write-ups. at different to field a This article is the report of an ethnographic study of kindergarten children which examined the relationship between their learning to write and their adapting to the culture of school. Data was collected several times per week over a fourteen week period. The researcher was a participant-observer who selected three case study children during the first phase of observation and studied them in context. of essays on qualitative methodologies. This paper addresses the advantages and disadvantages of using ethnographic studies and outlines six criteria for successfully using ethnographies in education studies. The authors also discuss five ways in which qualitative approaches can vary in terms of data collection. and limitations analysis postmodernism toward the enterprise of ethnographic research. Criteria for qualitative data as evidence for claims about social life and for a qualitative study to count as evidence. This text is a good source of examples for work done in the field of ethnography dealing with culture and literature. The work is a compilation of ethnographic studies by different authors done on topics ranging from the role played by gifts in Polish weddings to the role of art in Polish society. Through the reports included in this work, Minnich draws a clearer picture of Polish folk culture. of classroom-based research classroom-based ethnographic research. obstacles, personnel, safety, and traditional classroom orientation. experiential approaches for fieldwork as a choice of group or a single designated class project. Describes a cooperative project on homelessness.
An empirical investigation into the barriers to postponement

The need for postponement is significantly driven by today's business and marketing environment. However, currently its applications are still not as widespread as expected. Therefore, this paper empirically investigates what factors hinder the adoption and implementation of postponement, and whether postponement applications are expected to increase in practice. Following a literature review on how to prompt and progress postponement applications, we present our research design. Namely, a questionnaire survey was conducted (by way of both post and e-mail) among 368 British manufacturing companies across four industrial sectors to help build statistical generalizations on the barriers to postponement. Then, we provide demographic data and response rate, and assess the reliability and validity of the survey instruments. The results from our questionnaire survey indicate that most of the highest ranked barriers were related to how a company manages its external networks (suppliers or customers), while those barriers related to distributors were put towards the bottom of the list. The respondents also expected postponement to be less used in three years. Finally, we draw some conclusions, determine limitations of this research and make suggestions for future research.
A Unified Framework for Evolutionary Optimization with Application to Structural Engineering

Over the last few decades, major research effort has been directed towards the application of evolutionary algorithms for optimized engineering design. In this paper, we introduce a general framework to address both single- and multi-objective discrete optimization problems. The computational platform is built with a unified and modular structure to accommodate various evolutionary optimization schemes in a versatile manner. Included in this platform are enhanced algorithms that (1) utilize local and global fitness functions to maintain diversity of the population for multi-objective Pareto optimization, (2) employ a compact cellular automatabased genetic algorithm for complex single-objective search spaces, (3) introduce a multi-level approach for reduced computational effort, and (4) address inherent uncertainties in the objective function(s) and underlying physical processes. The paper gives an overall description of the platform, which is functional in a range of computing environments that extend from single processor machines to grid computing networks. Additionally, some details are provided concerning several of the enhanced algorithms noted above. As a specific application of this platform, we present results for the optimal design of civil engineering building structures subjected to multiple hazard loadings, such as those due to earthquakes and strong winds. More specifically, we attempt to find robust structural designs or retrofit alternatives by evolving the optimal sizing and distribution of advanced structural control devices under uncertain loads. In general, these protective technologies provide an effective means to reduce damage to primary structural members and non-structural components during extreme dynamic loading. Here we focus on optimizing the performance of these protected structural systems, a problem that presents significant complexity in terms of both formulation and solution.
Changes in the composition and function of the gut microbiota in celiac disease

Evidence is supported the hypothesis that any changes in the composition and function of the gut microbiota play a fundamental role in a number of chronic inflammatory diseases including celiac disease (CD). In the last decade, several culture-independent methods have been developed to identify the components of the human microbiome. The study of microbiota based on nucleic acid analysis found in feces or other biological samples allows the characterization of non-cultivable microbes. Current evidence on the composition and role of the intestinal microbiota as triggers for CD is highly variable and sometimes contradictory. However, emerging evidence suggested that gut microbiota may be associated with development of several gastrointestinal diseases such as CD. The microbiota plays a key role in function and modulation of both innate and adaptive immunity. Recent studies have shown noticeable reduction in beneficial bacteria and increase in those potentially harmful microbes in patients with CD as compared to healthy controls. Thus, in this review we tried to discuss the relationship between the intestinal microbiome and CD.
Mammalian octopus cells are direction selective to frequency sweeps by synaptic sequence detection

Octopus cells are remarkable projection neurons of the mammalian cochlear nucleus, with extremely fast membranes and wide frequency tuning. They are considered prime examples of coincidence detectors but are poorly characterized in vivo. We discover that octopus cells are selective to frequency sweep direction, a feature that is absent in their auditory nerve inputs. In vivo intracellular recordings reveal that direction selectivity does not derive from cross-channel coincidence detection but hinges on the amplitudes and activation sequence of auditory nerve inputs tuned to clusters of “hotspot” frequencies. A simple biophysical model of octopus cell excited with real nerve spike trains recreates direction selectivity through interaction of intrinsic membrane conductances with activation sequence of clustered inputs. We conclude that octopus cells are sequence detectors, sensitive to temporal patterns across cochlear frequency channels. The detection of sequences rather than coincidences is a much simpler but powerful operation to extract temporal information.
12-bit accurate voltage-sensing ADC with curvature-corrected dynamic reference

A sigma-delta analogue-to-digital converter (ADC) with a dynamic voltage reference is presented that achieves 12-bit absolute accuracy over the extended industrial temperature range (-40 to 105°C). Temperature-dependent gain errors due to the reference's curvature are digitally corrected by adjusting the gain of the ADC's decimation filter. The required correction factor is obtained by first using the reference to make a temperature measurement, and then translating the result into a correction factor by means of a lookup table and a linear interpolator. Thus, a dynamic voltage reference is realised with a measured temperature drift of less than 1.7 ppm/°C. The ADC was fabricated in 0.7 ? m CMOS technology and consumes 85 ? A from a 2.5-5.5 V supply.
La Educación en México como un Sistema Complejo

El presente trabajo permite visualizar la obligatoriedad de la educación básica y media superior, la manera en que está organizado el sistema educativo en México, así también se destacan los principales actores que participan en los procesos de ense­ñanza aprendizaje, las diversidad en las relaciones que determinan a la Educación como un sistema complejo, por lo que es necesario atender o aplicar los principios básicos de la complejidad, lo cual permitirá transformar el proceso Educativo, por medio del pensamiento sistémico, basado en la relación de los elementos principales, atendiendo la comunicación y retroalimentación, todo ello basados en la conciencia, adaptación, autoorganización, de los involucrados entre ellos las instituciones, profesores, alumnos, organizaciones privadas y sin fines de lucro, la secretaría de educación pública, el poder legislativo representado por la cámara de diputados los cuales actúan como gestores de recursos para establecer el mejor clima para desarrollar un Sistema Educativo de calidad que responda a las necesidades del entorno.
Walk-Up Acceptability vs. Real Usability? Designing User Interfaces for the Gaming Culture

While a good user interface is often defined as one which is immediately intuitive to use, this assumption can be dangerously applied. Designers of web pages know that if they don’t get a user’s interest in a few seconds, then the user will exit the site and navigate elsewhere. The gaming enthusiasts will reject a game if they cannot learn to play it in a few minutes. These types of applications require different design attributes than an application that will be used for hours by a trained employee or specialist. Many user experience design techniques involve obtaining feedback on low fidelity prototypes or think out loud protocols which emphasize the need that a user interface be immediately intuitive to use. User interface designers feel the pressure of the gaming culture to value immediate intuitivism or preference as the primary measure for design goodness. However, our study shows that the ability to learn how to use a display for some applications may be more important, especially if the less intuitive display reduces errors after minimal training times. Our study also suggests there may be a unique tendency of gamers to be less risk adverse in using a system, taking action without carefully measuring the risks. This has a tremendous influence on the design of high consequence systems where a user must perform critical tasks with high accuracy for personnel safety and task success.
Expansion of operating limits for permanent magnet motor by current vector control considering inverter capacity

The current vector control method of PM (permanent magnet) motors is examined to expand the operating limits associated with inverter capacity. This control method is optimum in the sense of deriving maximum output torque within the voltage and current constraints. The effects of motor parameters are examined by computer simulation. The operating limits are greatly expanded by controlling the d- and q-axis components of the armature current according to the rotor speed. The operating limits are examined considering the demagnetization of the permanent magnet. If the permanent magnet has a straight demagnetization curve, like a rare-earth permanent magnet, the PM motor can be safely operated until the demagnetizing coefficient becomes 1.0. If wide speed range or constant power operation is desirable, a permanent magnetic with a high coercivity and a linear demagnetization curve must be used for the PM motor. >
Training Sequence Design Based on Channel Estimation

Channel estimation is an important research direction in wireless communications; channel estimation based on the training sequence is the most commonly used method. Different training sequence is very different from the performance of channel estimation, in order to improve channel estimation accuracy. This paper analyzes the common m sequence and from the optimal channel estimated performance point design of applicable in any given length of sequence. The sequence, respectively, under the traditional channel estimated algorithm and based on compressed sensing to channel estimation algorithm has the criterion of Minimum Mean Square Error. Meanwhile, the sequence obtained after the demodulated training sequence through different modulation systems are different, so as to have greater flexibility.
A Study on Recognition of Moving Object Crowdedness Based on Ensemble Classifiers in a Sequence

Pattern recognition using ensemble classifiers is composed of strong classifier which consists of many weak classifiers. In this paper, we used feature extraction to organize strong classifier using static camera sequence. The strong classifier is made of weak classifiers which considers environmental factors. So the strong classifier overcomes environmental effect. Proposed method uses binary foreground image by frame difference method and the boosting is used to train crowdedness model and recognize crowdedness using features. Combination of weak classifiers makes strong ensemble classifier. The classifier could make use of potential features from the environment such as shadow and reflection. We tested the proposed system with road sequence and subway platform sequence which are included in "AVSS 2007" sequence. The result shows good accuracy and efficiency on complex environment.
Optimal Sizing of PMSG for Wind Turbine Applications: Methodology and Analysis

This papers describes the methodology to optimal design of the Permanent Magnet Synchronous Generator (PMSG) of wind turbine systems at the low average wind speed. In order to reduce the loss on systems and the robustness of optimal methodology, the authors used the algorithm genetic for optimization process, the method results will be analysis for characterization of control in order of protection and implementation for the wind turbine system with the power of 15- 20 kW at 6m/s average wind speed. To step up the efficiency of optimal methodology, the authors proposed the concept of PMSG for the "passive" wind turbine systems (without the control MPPT by power electronic inverter) and using the diodes rectifier for the system design and optimization process. Sample simulation results for three optimal Permanent Magnet Synchronous Generators have been presented and discussed for the fundamental issues. 
Identifying Delamination in Composite Beams Using Built-In Piezoelectrics: Part I—Experiments and Analysis

An investigation was performed on using piezoelectrics built into laminated composite structures to detect a delamination and estimate its size and location. Both experiments and analysis were conducted. In experiments, piezoceramics were attached to composite beams with and without an artificial delamination. Some of the piezoceramics were used as actuators to dynamically excite specimens while others were used as sensors to measure the beam responses. Tests showed that a delamination changed the measured piezo-induced dynamic forced response of beams. A delamination identification method is proposed which consists of a structural analysis, a response comparator, and a damage selector. The structural analysis was developed for predicting the output voltages of the sensors when a delaminated beam was excited by the actuators. The experimental results as well as the structural analysis are described in Part I of the study. In Part II, a response comparator and damage selector will be presented and will be integrated with the structural analysis for identifying delamination in composite beams with built-in piezoelectrics.
A life-threatening presentation of primary plasma cell leukemia

Background: Multiple myeloma is a relatively common type of plasma cell dyscrasia, in which monoclonal plasma cells proliferate. This frequently leads to anemia, renal failure, hypercalcemia and bone lesions. Primary plasma cell leukemia is a much rarer type of plasma cell dyscrasia, with measurable plasma cells in the blood circulation and usually more acute presenting signs. Case: A 57-year-old woman presented to the emergency department with dyspnea. Because of hypoxemia due to a hemoglobin concentration of 3.1 g/dL (1,9 mmol/L), asystole occurred, and cardiopulmonary resuscitation had to be started. The severe anemia turned out to be due to a primary plasma cell leukemia. Palliative treatment was started with combination chemotherapy with VTD (bortezomib, thalidomide and dexamethasone) with a very good partial response, after which she proceeded to an autologous stem cell transplantation with high dose melphalan conditioning. Conclusion: Primary plasma cell leukemia is a plasma cell dyscrasia with both resemblances and differences from the better-known multiple myeloma. It is less common, but presenting signs often are more acute and more severe. Currently there is no curative treatment. Keywords: Plasma cell leukemia; Hematological emergency; Multiple myeloma; VTD.