Miracle-dz/UniFAR-FTUs huggingface dataset:
Out-of-Sample Validity of the PROLOGUE Score to Predict Neurologic Function after Cardiac Arrest

Background: The clinical value of a prognostic score depends on its out-of-sample validity because inaccurate outcome prediction can be not only useless but potentially fatal. We aimed to evaluate the out-of-sample validity of a recently developed and highly accurate Korean prognostic score for predicting neurologic outcome after cardiac arrest in an independent, plausibly related sample of European cardiac arrest survivors. Methods: Analysis of data from a European cardiac arrest center, certified in compliance with the specifications of the German Council for Resuscitation. The study sample included adults with nontraumatic out-of-hospital cardiac arrest admitted between 2013 and 2018. Exposure was the PROgnostication using LOGistic regression model for Unselected adult cardiac arrest patients in the Early stages (PROLOGUE) score, including 12 clinical variables readily available at hospital admission. The outcome was poor 30-day neurologic function, as assessed using the cerebral performance category scale. The risk of a poor outcome was calculated using the PROLOGUE score regression equation. Predicted risk deciles were compared to observed outcome estimates in a complete-case analysis, a best-case analysis, and a multiple-data-imputation analysis using the Markov chain Monte Carlo method. Results: A total of 1051 patients (median 61 years, IQR 50–71; 29% female) were analyzed. A total of 808 patients (77%) were included in the complete-case analysis. The PROLOGUE score overestimated the risk of poor neurologic outcomes in the range of 40% to 100% predicted risk, involving 63% of patients. The model fit did not improve after missing data imputation. Conclusions: In a plausibly related sample of European cardiac arrest survivors, risk prediction by the PROLOGUE score was largely too pessimistic and failed to replicate the high accuracy found in the original study. Using the PROLOGUE score as an example, this study highlights the compelling need for independent validation of a proposed prognostic score to prevent potentially fatal mispredictions.
Acute and Chronic Sympathomimetic Effects of E-Cigarette and Tobacco Cigarette Smoking: Role of Nicotine and Non-Nicotine Constituents Arastoo: Cardiac Effects of Electronic & Tobacco Cigarettes

Electronic cigarettes(ECs) and tobacco cigarettes(TCs) both release nicotine, a sympathomimetic drug. We hypothesized that baseline heart rate variability(HRV) and hemodynamics would be similar in chronic EC and TC-smokers, and that after acute EC use, changes in HRV and hemodynamics would be attributable to nicotine, not non-nicotine constituents in EC aerosol. In 100 smokers, including 58 chronic EC-users and 42 TC-smokers, baseline HRV and hemodynamics (blood pressure[BP] and heart rate[HR]) were compared. To isolate the acute effects of nicotine vs non-nicotine constituents in EC aerosol, we compared changes in HRV, BP and HR in EC-users after using an EC-with-nicotine(ECN), EC-without-nicotine(EC0), nicotine inhaler(NI), or sham-vaping(control). Outcomes were also compared to TC smokers after smoking one TC. Baseline HRV and hemodynamics were not different in chronic EC-users and TC-smokers. In EC-users, BP and HR, but not HRV outcomes, increased only after using the ECN, consistent with a nicotine effect on BP and HR. Similarly, in TC-smokers, BP and HR, but not HRV outcomes increased after smoking one TC. Despite a similar increase in nicotine, the hemodynamic increases were significantly greater after TC-smokers smoked one TC compared to the increases after EC-users used the ECN. In conclusion, chronic EC and TC-smokers exhibit a similar pattern of baseline HRV. Acute increases in BP and HR in EC-users are attributable to nicotine, not non-nicotine constituents, in EC aerosol. The greater acute variance or and errors
Can Volunteer Tourism be a sub-segment of Wellness Tourism?

Wellness tourism is a segment of tourism that has been widely studied, including the motivations that undertake the trip. Throughout the literature review it was possible to observe that the motivations that are the origin of this type of tourism are diverse, highlighting, the achievement of physical and mental well-being, self-development and personal reward, relaxation and escape, exploration and reflection, and enjoyment of a new experience. Smith and Kelly, 2006 approach the concept from a broader perspective, encompassing several segments: new age tourism, nature tourism, adventure tourism, yoga tourism, spiritual and religious tourism, and voluntary tourism. Also, Ali-Knight (2009) and GWI (2018) consider voluntary tourism an integral segment of wellness tourism as well as thermal tourism, spa tourism, nature tourism, retreat tourism, and social tourism. In addition to the fact that the authors mentioned above consider voluntary tourism a sub-segment of wellness tourism, a study by Coghlan (2015) found, through a project of travel experience in the context of volunteering, in which various social activities were carried out, which can achieve a beneficial health outcome, in addition to an improvement in the well-being and mental health of participants. However, throughout the literature review, it was found that studies addressing the motivations of volunteer tourists are scarce, and none are known to address the relationship between the motivations of wellness tourists and volunteer tourists. In order to fill this gap, a qualitative approach was developed based on semi-structured interviews with individuals who have travelled in the field of voluntary tourism. Thus, we were able to compare the motivations recognized in these interviews with those verified in the literature review in the field of wellness tourism, and to realize that, from an altruistic perspective, the motivations of tourists from both segments are coincident. This finding allows us to consider that, from the perspective of motivations, voluntary tourism can comprise one of the sub-segments of wellness tourism. This study will contribute to increase knowledge about the motivations of wellness and voluntary tourism and understand the similarities between these types of tourism.
Cutaneous hypersensitivity reaction to low molecular weight heparins in pregnancy, cross reactivity and prednisolone treatment: A case report

In pregnant women, low molecular weight heparin is recommended as the preferred agent for venous thromboembolism prophylaxis and treatment. Despite their widespread application, heparin-induced skin lesions are probably under-reported and under-estimated. We present a case report of a primigravida treated with low molecular weight heparin for deep vein thrombosis, who developed a delayed-type hypersensitivity reaction to enoxaparin, tinzaparin and dalteparin. As the patient was pregnant, treatment options were restricted. Tolerance was achieved with dalteparin with adjuvant administration of prednisolone. An attempt to decrease prednisolone dose triggered delayed-type hypersensitivity reaction recurrence that was solved by keeping the initial prednisolone prescription. To the best of our knowledge, there are no described cases using this approach. In cases of delayed-type hypersensitivity reaction to low molecular weight heparin during pregnancy our case suggests that switching low molecular weight heparin and adjuvant administration of prednisolone can be an option.
A Treatise on English Teaching Android Applications

Mobile phones have an indispensable role in the wide extensive growth of communication. The advent of the mobile operating system called Android, currently developed by Google, plays god for myriad conducive communication in the fields of commerce, medicine, engineering, technology and education. To state its role in education, there are umpteen teaching learning apps existing in the Google play store for a free- download to our android mobiles. Deploying one's discretion in making the right choice of downloading the tutorial apps from the play store is indeed, possible with minimal technical knowledge and an attitude for learning. Factually speaking, technology aided English teaching is end-focused and it is result oriented. Moreover, the noteworthy advantage of android aided English teaching is the availability of extensive English teaching apps for discrepant levels of learners namely Beginner, Intermediate and Advanced. Precisely, learning English from BBC besides, getting prepared for competitive exams like TOEFL and IELTS are made easy through these apps available in android mobile phones. In fact, this article is an effort to edify the possibility of enhancing one's English language proficiency exclusively through the regular access of learner to some of the effective English teaching android applications.
Modulation Methods and Comparison

Pulse-width modulation (PWM) control methods for ZSI/qZSI have been proposed to achieve a wider modulation range, lower voltage stress on the switches, and simpler real-time implementation. The PWM method is essential for operating impedance source inverters/converters. They can be summarized as carrier-based sinewave pulse-width modulation (SPWM), space vector modulation (SVM), and pulse-width amplitude modulation (PAM). This chapter presents the continuous algorithms of SPWM and SVM and their comparison, and PAM. There are three classic carrier-based PWM methods for the qZSI: simple boost control (SBC), maximum boost control (MBC), and maximum constant boost control (MCBC). In the SVM technique of qZSI, the total shoot-through time interval in one switching cycle is divided into several identical parts and each part is distributed to the transition moment of the active vector and traditional zero vector, without any extra switching operations.
Investigating the Resilience of Accessibility to Emergency and Lifesaving Facilities under Natural Hazards

Studying accessibility, including the resilience of city transportation networks, is critical to understand how these networks influence individuals’ mobility and lives. This study developed an analytical research framework to examine the resilience of accessibility to emergency and lifesaving facilities under the threats of natural hazards such as earthquakes and wildfires. With a cumulative-opportunity approach, the authors measured accessibility by counting emergency and lifesaving facilities (including parks, schools, hospitals, roads, and fire stations) that can be reached by driving at the census tract level in San Fernando Valley, CA. With the calculated accessibility, the authors run simulations to collect data showing what would happen if an area were affected by a selected disaster. They then used statistical analysis to identify those areas where accessibility is significantly reduced compared to the original status. A normalized difference accessibility index (NDAI) was further created to suggest plans and strategies to help those vulnerable areas through adding facilities/services or improving transportation infrastructure.
Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network

Atmospheric disturbance, sensor malfunctions, and other factors can cause serious gap pixels in the Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference snow index (NDSI) products. In this article, MODIS NDSI gap pixels are reconstructed in a highly heterogeneous area with drastic snow accumulation and melting changes using a long short-term memory (LSTM) network. Three LSTM-based MODIS NDSI gap pixel reconstruction schemes, i.e., forward, backward, and bidirectional LSTM networks that separately use earlier, subsequent, and integrated earlier and subsequent timestamp information, are developed. NDSI information for the gap pixel is restored using the long-term spatiotemporal information for this pixel and its adjacent pixels. A case study of NDSI reconstruction in the source area of the Yellow River, northwestern China, during the 2018–2019 snow season, demonstrates that all three LSTM-based schemes can reliably generate spatiotemporally continuous NDSI data with an accuracy comparable to that of the original MODIS NDSI products under clear-sky conditions. The bidirectional LSTM-based scheme, which has the best performance, can achieve a desirable overall accuracy of 89.93%, with an omission error of 3.82% and a commission error of 6.25%, in terms of dichotomous evaluation based on in situ snow depth observations. The $R^{2}$ , average RMSE, overestimation error, and underestimation error are 0.95, 5.13%, 5.39, and 6.40%, respectively, in terms of the continuous value assessment based on the gap pixels assumption. Our results demonstrate the reliability and feasibility of the LSTM-based schemes in recovering the missing values in MODIS NDSI products by deeply excavating the spatial continuity and long-time series dependence of the snow cover.
PERFORMANCE OF CYCLIC CODE WITH SPACE- TIME BLOCK CODE FOR MULTIPLE ANTENNA SYSTEMS

We construct a simple scheme which is a combination of Orthogonal Space-Time Block Codes (OSTBCs) with liner block code for two transmitting antennas to achieve high diversity order with a simple decoding algorithm on Rayleigh fading channel of Multiple Input/Multiple Output (MIMO) systems. The scheme is designed by using the cyclic code with rate 1/2 and 1/3, leading to a flexible and exploit of OSTBC for multiple antenna systems. Our proposed scheme minimizes the average Bit Error Ratio (BER) and improves the system diversity even if only a Maximum Likilihood (ML) receiver is used. The simulation models have been developed using Matlab V 7.0 software and send them through a Raleigh channel to analyze the performance in terms of BER vs. Signal to Noise Ratio (SNR). It has been shown that the Alamouti scheme using cyclic code is extremely robust against MIMO Rayleigh fading channel and thus outperforms other transmission schemes.
Banana Pi Cookbook

Over 25 recipes to build projects and applications for multiple platforms with Banana Pi About This BookDesign, develop, and customize real-world applications and projects rapidly and easily using Banana PiQuick solutions to the most common real-world problems on the amazing Banana PiStep-by-step recipes to help you experience the vast possibilities of the device by setting up interesting applicationsWho This Book Is ForThis book is intended for anybody who wants to learn how they can utilize the capabilities of the Banana Pi to its full potential. It's full of step-by-step guides and detailed descriptions for the whole range of possibilities in a language that is appropriate for computer enthusiasts and experts alike. It would be helpful to have a basic knowledge of Unix-like operating systems or programming, but no prior experience is required as every concept is explained in the appropriate sections.What You Will Learn Discover how to configure and maintain your Banana Pi device Install Android and a Linux-based distribution onto Banana Pi Attach external drives to your Banana Pi by using the USB or SATA interfaces Share files between your Banana Pi and other devices either in your internal network or over the Internet Connect remotely to your Banana Pi using SSH and VNC Build simple electrical circuits and connect simple hardware elements such as LEDs, resistors, and buttons to the GPIO pins Configure a multimedia center that is able to play high-definition content In DetailBanana Pi is a dual core single board microcomputer like Raspberry Pi but is much faster, more cost-effective, and performs more efficiently than Raspberry Pi.Banana Pi Cookbook is a practical guide that starts with setting up Banana Pi and moves on to exploring the more advanced capabilities of the device. You will learn to build a decent Linux-based operating system that can resolve common server tasks (Samba, Web, DLNA) and multimedia challenges. Also, you will see how to use the GPIO opportunities by building simple but straightforward circuits.By the end of this book, you will be an expert in using Banana Pi to deploy a variety of hardware and software applications.
Multisign Health Monitoring Technology of Athletes Based on Artificial Intelligence

In order to improve the monitoring efficiency of physical fitness characteristics of athletes in training state, this paper proposes the research on athletes’ multisign health monitoring technology based on artificial intelligence sensor technology. Taking six excellent boxers as the experimental objects, four weeks of heavy load training and 10 training courses per week were arranged from six weeks before the competition to two weeks before the competition. The 4-week training is divided into two stages. From the first week to the fourth week, the training amount remains unchanged and the training intensity increases. The artificial intelligence sensor technology is used to design the athlete training state pulse test system. The athlete training state pulse sensor is responsible for collecting the athlete training state pulse data. The athlete pulse sensor in this system adopts zn17-kg200 pulse vibration sensor as the pulse sampling sensor. After 4 weeks of heavy load training, before and after adjusting for rest, venous blood was taken fasting on the next morning. White blood cells (WBC), red blood cells (RBC), hemoglobin (hemoglobin, Hb), testosterone (hemoglobin, H), cortisol (cortisol), and testosterone/cortisol ratio were measured. The experimental results showed that T and T / C of athletes were significantly lower than those before training ( P < 0.01 ), 37.99% and 52.69%, respectively. C and morning pulse were significantly higher than those before training ( P < 0.05 ), with an increase range of 32.39% and 20.39%. There was no statistical significance in the changes of WBC, RBC, and Hb. HRV indexes lnLF and LF/HF were significantly higher than those before training. Athletes carry the designed portable athlete training state pulse test for heavy load training and display the current training state pulse data of each athlete in real time. The experimental data show that the system designed in this paper can monitor the pulse information of athletes in the training state in real time. The monitoring has good real-time result and accuracy and can realize the abnormal pulse alarm, which has a certain practical value.
Intuitive Interaction research – new directions and possible responses

This paper discusses and compares older and newer approaches to intuitive interaction research over the past fifteen years and asks how we can move forward from here. Outcomes from the different research endeavours are discussed and explained. Existing continua of intuitive interaction are discussed, and a new suggested framework for understanding these various approaches and how the different ideas and findings relate to each other is presented, as a first step to forming a solid platform from which new move forward in various new directions. The framework shows the relationships, differences and commonalities between these ideas and discusses the implications for researchers and designers.
Biocrusts increase the resistance to warming‐induced increases in topsoil P pools

Ongoing global warming and alterations in rainfall patterns driven by climate change are known to have large impacts on biogeochemical cycles, particularly on drylands. In addition, the global increase in atmospheric nitrogen (N) deposition can destabilize primary productivity in terrestrial ecosystems, and phosphorus (P) may become the most limiting nutrient in many terrestrial ecosystems. However, the impacts of climate change on soil P pools in drylands remain poorly understood. Furthermore, it is unknown whether biocrusts, a major biotic component of drylands worldwide, modulate such impacts. Here we used two long‐term (8–10 years) experiments conducted in Central (Aranjuez) and SE (Sorbas) Spain to test how a ~2.5°C warming, a ~30% rainfall reduction and biocrust cover affected topsoil (0–1 cm) P pools (non‐occluded P, organic P, calcium bound P, occluded P and total P). Warming significantly increased most P pools—except occluded P—in Aranjuez, whereas only augmented non‐occluded P in Sorbas. The rainfall reduction treatment had no effect on the soil P pools at any experimental site. Biocrusts increased most soil P pools and conferred resistance to simulated warming for major P pools at both sites, and to rainfall reduction for non‐occluded and occluded P in Aranjuez. Synthesis. Our findings provide novel insights on the responses of soil P pools to warming and rainfall reduction, and highlight the importance of biocrusts as modulators of these responses in dryland ecosystems. Our results suggest that the observed negative impacts of warming on dryland biocrust communities will decrease their capacity to buffer changes in topsoil P driven by climate change.
Osteomyelitis, Oxidative Stress and Related Biomarkers

Bone is a very dynamic tissue, subject to continuous renewal to maintain homeostasis through bone remodeling, a process promoted by two cell types: osteoblasts, of mesenchymal derivation, are responsible for the deposition of new material, and osteoclasts, which are hematopoietic cells, responsible for bone resorption. Osteomyelitis (OM) is an invasive infectious process, with several etiological agents, the most common being Staphylococcus aureus, affecting bone or bone marrow, and severely impairing bone homeostasis, resulting in osteolysis. One of the characteristic features of OM is a strong state of oxidative stress (OS) with severe consequences on the delicate balance between osteoblastogenesis and osteoclastogenesis. Here we describe this, analyzing the effects of OS in bone remodeling and discussing the need for new, easy-to-measure and widely available OS biomarkers that will provide valid support in the management of the disease.
Insolation evolution and ice volume legacies determine interglacial and glacial intensity

Abstract. Interglacials and glacials represent low and high ice volume end-members of ice age cycles. While progress has been made in our understanding of how and when transitions between these states occur, their relative intensity has been lacking an explanatory framework. With a simple quantitative model, we show that over the last 800 000 years interglacial intensity can be described as a function of the strength of the previous glacial and the summer insolation at high latitudes in both hemispheres during the deglaciation. Since the precession components in the boreal and austral insolations counteract each other, the amplitude increase in obliquity cycles after 430 000 years ago is imprinted in interglacial intensities, contributing to the manifestation of the so-called Mid-Brunhes Event. Glacial intensity is also linked to the strength of the previous interglacial, the time elapsed from it, and the evolution of boreal summer insolation. Our results suggest that the memory of previous climate states and the time course of the insolation are crucial for understanding interglacial and glacial intensities.