Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictors of Long-Term Survival after Cardiopulmonary Resuscitation

Introduction: Survival after cardiac arrest is one of the most important issues related to the safety and quality of patient care, and unexpected events such as failure to follow guidelines can endanger the patient's safety. Objective: This study aimed to determine the long-term survival after cardiopulmonary resuscitation and its predictors in patients with cardiac arrest. Materials and Methods: In this retrospective study, individual, disease-related, and 3-day follow-up-related factors were monitored after the cardiopulmonary resuscitation (CPR) in all patients with long-term survival after cardiac arrest (CA) who were discharged from the hospital between 2016 and 2019. Patients' survival or death after CPR was followed up by telephone interviews. The patient's survival time after discharge was calculated until the interview day. The obtained data were analyzed by the Kaplan-Meier and Cox regression tests. Results: Out of 1565 CPR cases (both In-Hospital Cardiac Arrest [IHCA] and Out-of-Hospital Cardiac Arrest [OHCA]), 667 were successful, of which 156 patients had long-term survival. The mean ±SD of the survival time for patients was 30.98 ±1.78 months. Significant variables in associations with long-term survival were old age (>60 y) (HR=1.811, 95%CI;1.019-3.218, P=0.043), initial asystole rhythm (HR=4.199; 95%CI:2.129-8.282; P=0.001), ventricular tachycardia (VT) (HR=2.315; 95%CI:1.171-4.576; P=0.016), connection to mechanical ventilator (HR=1.992; 95%CI:1.229-3.229; P=0.005), cardiovascular disease (HR=1.795; 95%CI:1.111-2.901; P=0.017), and abnormal SpO2 (HR=2.447; 95%CI:1.507-3.972; P=0.001). Multivariate analysis also showed that asystole rhythm (P=0.001), VT (P=0.052), and prolonged duration of CPR (>20 min) (P=0.043) significantly increase the risk of death. Conclusions: The major predictors in this study were age, initial rhythm, connection to a mechanical ventilator, CPR duration, cardiovascular disease, and SpO2 monitoring. Therefore, introducing post-resuscitation care protocols and conducting training programs and further studies are warranted.
Simulation and Optimization of a Steam Co-generation Plant with Integrated Bio-ethanol Production

decouples food and energy production. It is as well considered a more sustainable way of using biomass for energy purposes than combustion as it sustains and recycles the potassium contents. The aim of this project was to implement second-generation bioethanol production in existing thermal power plants to reduce the costs of producing sustainable biofuel for the transportation sector while at the same time increasing the flexibility of the plants’ electric power production, allowing for higher levels of renewable power penetration in the grid. The project focused on a thermodynamic optimization of integrating second generation bioethanol production based on straw in the combined heat and power production at existing power plants. The basis is the combined heat and power plant Avedorevaerket 1 (AVV1) and a biorefinery based on the IBUS (Integrated Biomass Utilization System) process with wheat straw as feedstock. Models of both AVV1 and the IBUS plant were developed in the simulation program Dynamic Network Analysis. The AVV1 model deviations were in the range of up to 4% on all parameters, with a special electricity production deviation at Benson minimum load of +10%. The bioethanol production, CO2 generation and the water consumption at the IBUS plant are all within the ranges presented in literature. The IBUS plant feedstock upland was determined by an economy of scale estimation, stating a maximum feedstock transport distance of 50km. Based on the feedstock upland size and numbers on agricultural practices from Danmarks Statistik, the process capacity of the IBUS plant was dimensioned to be 22.4ton/h, equaling a heat consumption of 48.4 MJ/s. An exergy analysis is used to determine the thermo-energy optimal extraction point of steam from AVV1. For indirect use of the extracted steam, the Intermediate Pressure 2 (IP2) turbine inlet is best suited, while for direct use of the extracted steam, the first extraction point at the Intermediate Pressure 1 (IP1) turbine is best suited. The electricity production of AVV1 is given an extra flexibility of 6.2-6.9MW for the first option depending on the operation mode, and 6.0-6.6MW for the second option. An economic analysis of using extracted steam for an IBUS plant rather than using a gas fired boiler is yet to be finished, but present results suggests a reduction in operation cost of 10-45% for an integrated plant compared to the ‘stand alone’ scenario. Many studies have pointed out the increased sustainability in processing straw in an IBUS facility prior to combustion rather than using it for direct combustion in thermal power plants. This study shows that an integration of an IBUS plant at a thermal power plant can reduce the operation cost of the IBUS production markedly, while at the same time increasing the electric power flexibility of the power plant. The latter ability will become increasingly important in the nearest future as the newly set governmental target of 50% wind power penetration in the grid will challenge the power production at thermal power plants even further.
Induced and Evoked Brain Activation Related to the Processing of Onomatopoetic Verbs

Grounded cognition theory postulates that cognitive processes related to motor or sensory content are processed by brain networks involved in motor execution and perception, respectively. Processing words with auditory features was shown to activate the auditory cortex. Our study aimed at determining whether onomatopoetic verbs (e.g., “tröpfeln”—to dripple), whose articulation reproduces the sound of respective actions, engage the auditory cortex more than non-onomatopoetic verbs. Alpha and beta brain frequencies as well as evoked-related fields (ERFs) were targeted as potential neurophysiological correlates of this linguistic auditory quality. Twenty participants were measured with magnetoencephalography (MEG) while semantically processing visually presented onomatopoetic and non-onomatopoetic German verbs. While a descriptively stronger left temporal alpha desynchronization for onomatopoetic verbs did not reach statistical significance, a larger ERF for onomatopoetic verbs emerged at about 240 ms in the centro-parietal area. Findings suggest increased cortical activation related to onomatopoeias in linguistically relevant areas.
Transformation of Public Spaces into Emancipated Spaces by Consumers: a Longitudinal Study on the Belo Horizonte Street Carnival

Abstract The aim of this research is to understand how public spaces are transformed into emancipated spaces by consumers. To do so, we used the context of the Belo Horizonte street carnival, a collective moment that occupies the city’s public spaces, in order to question the uses commonly associated with them. A longitudinal investigation was conducted using newspaper articles, the internet, public documents, interviews, and participant observation. As a result, the research presents a theorization on the process of transformation of public spaces into emancipated spaces. In each phase of the process, the contestations regarding the forms of use and consumption of the public space among the social movements of consumers, market players, and the public authority give rise to disputes and tensions that configure the new emancipated space.
A Case Study Investigation of Year 8 Students’ Experiences with Online Learning Through the Padlet App in a State-Maintained Girls’ Grammar School

Abstract If the past two years have proven anything, it is that students today hold a tremendous capacity to adapt to incredibly difficult learning environments. This paper explores student learning experiences in one such learning environment, the period of online learning that occurred between January and March 2021 due to COVID-19-related school closures. Investigating the effectiveness of the digital learning platform Padlet in terms of student engagement with the Latin curriculum and its cultivation of Latin comprehension skills, this case study of Year 8 students in a state-maintained girls’ grammar school demonstrates the value of collaborative, discussion-based approaches to remote teaching. The value of digital learning platforms in our post-pandemic educational environment is demonstrated in its potential to bridge the communicative gap felt by many students when taught online, simulating the lively classroom climate which so often generates exciting and effective learning opportunities for each student. As this paper demonstrates, digital learning platforms hold the potential not only to assist educators in coping with the challenges of remote learning, but also to extend student learning in ways once considered unimaginable beyond the realms of the physical classroom. As a result, this paper argues that the position of such platforms in the post-pandemic classroom must be advocated and supported further.
Detecting violent scenes in movies using Gated Recurrent Units and Discrete Wavelet Transform

The easiness of accessing video on various platforms can negatively impact if not done wisely, especially for children. Parental supervision is needed so that movies platforms avoid inappropriate displays such as violence. Violent scenes in movies can trigger children to commit acts of violence, which is not desired. Unfortunately, it is not easy to supervise them fully. This study proposed a method for automatic detection of violent scenes in movies. Automatic violence detection assists the parents and censorship institutions in detecting violence easily. This study uses Gated Recurrent Units (GRU) algorithm and wavelet as feature extraction to detect violent scenes. This paper shows comparative studies on the variation of the mother wavelet. The experimental results show that GRU is robust and deliver the best performance accuracy of 0.96 while combining with mother wavelet Symlet and Coiflets8. The combination of GRU with wavelet Coiflets8 shows better results than the predecessor.
Diagnostic performance of microRNA-34a, let-7f and microRNA-31 in epithelial ovarian cancer prediction

Objective To correlate the genome-wide methylation signature of microRNA genes with dysregulated expression of selected candidate microRNA in tissue and serum samples of epithelial ovarian cancer (EOC) and control using quantitative reverse transcription polymerase chain reaction (qRT-PCR), and evaluation of EOC predictive value of candidate microRNA at an early stage. Methods We performed Methylated DNA Immunoprecipitation coupled with NGS (MeDIP-NGS) sequencing of 6 EOC and 2 normal tissue samples of the ovary. Expression of selected microRNA from tissue (EOC=85, normal=30) and serum (EOC=50, normal=15) samples was evaluated using qRT-PCR. We conducted bioinformatics analysis to identify the candidate miRNA’s potential target and functional role. Results MeDIP-NGS sequencing revealed hypermethylation of several microRNAs gene promoters. Three candidate microRNAs were selected (microRNA-34a, let-7f, and microRNA-31) from MeDIP-NGS data analysis based on log2FC and P-value. The relative expression level of microRNA-34a, let-7f, and microRNA-31 was found to be significantly reduced in early-stage EOC tissues and serum samples (p<0.0001). The receiver operating characteristic analysis of microRNA-34a, let-7f and miR-31 showed improved diagnostic value with area under curve(AUC) of 92.0 (p<0.0001), 87.9 (p<0.0001), and 85.6 (p<0.0001) and AUC of 82.7 (p<0.0001), 82.0 (p<0.0001), and 81.0 (p<0.0001) in stage III-IV and stage I-II EOC serum samples respectively. The integrated diagnostic performance of microRNA panel (microRNA-34a+let-7f+microRNA-31) in late-stage and early-stage serum samples was 95.5 and 96.9 respectively. Conclusion Our data correlated hypermethylation-associated downregulation of microRNA in EOC. In addition, a combined microRNA panel from serum could predict the risk of EOC with greater AUC, sensitivity, and specificity.
Topologically customized and surface-mounted meta-devices for Lamb wave manipulation

Lamb waves inside thin-walled structures have received extensive attention due to their great promise in applications such as structural health monitoring. Applications point at the common need for effective conditioning and manipulation of the wave propagation in terms of both frequency content and mode components. In this work, the concept of metamaterials is exploited to construct functional meta-devices (MDs). The MDs are designed to deliver prescribed functionalities after they are surface-mounted onto a structure conveying Lamb waves. To this end, a unified inverse-design scheme based on topology optimization is proposed and applied to achieve multifold functions such as frequency filtering, single-mode transmission and wave filtering at the subwavelength scale. Configuration features of the optimized MDs are extracted to reveal the mechanism governing the generation of broad Bragg scattering bandgaps. Analyses on negative effective mass density and the polarized mode explain the directional locally resonant bandgaps which exhibit strong anisotropic density. A representative MD with a finite number of unit cells is examined through finite element simulations. Temporal signals and their transmission spectra confirm the expected band features. An experiment is carried out to confirm the prescribed wave manipulation functions of the designed MD in terms of achieving selective frequency and wave mode transmission. This work provides a universal approach for topologically customizing MDs for the precise and tactic control of Lamb wave propagation.
Outspacing Planar Phased Arrays for Wireless Communications Infrastructure

The future mobile-data demand, driven by 5G and 6G wireless communications, puts enormous pressure on the required infrastructure. Especially the need for higher data rates and corresponding higher operating frequencies calls for new transmitter concepts with improved power-added efficiencies. Outspacing, which combines outphasing, also known as linear amplification with nonlinear components (LINC), a phased array, and spatial power combining, could be a promising solution for these challenging performance requirements. In this paper, an extended array-level analysis is performed on the efficiency, mutual coupling, and transmit performance of outspacing arrays supported by new performance metrics, since conventional metrics show to be insufficient for analyzing the outspacing concept. The analysis of the concept is performed on two different planar outspacing configurations. The presented outspacing concept with an element spacing of λ 0 / 2 appears to be very suited for applications that require a limited scan range, typically smaller than ±20°. A prototype is realized and characterized for a limited-scan scenario at 2.4 GHz to limit technology-related risks in the verification of the outspacing concept. The outspacing planar array is tested using an over-the-air (OTA) test concept applied in an anechoic test facility. An error vector magnitude below 3%, when transmitting a QAM16 signal, is realized in the main beam of the antenna without the use of calibration. Furthermore, an analysis is done on additional efficiency improvements. The active reflection coefficient, which is strongly related to the mutual coupling between the array elements, appears to have very interesting properties for improving amplifier drain efficiency by active load modulation.
Depression, Anxiety and Stress in Health Professionals in the COVID-19 Context

To assess the prevalence of depression, anxiety and stress symptoms in health professionals in the COVID-19 pandemic context. Method: Cross-sectional study with non-probabilistic (snow-ball) sampling method. The assessment was performed using the Depression, Anxiety, and Stress Scale (DASS-21) and the prevalence of symptoms severity was calculated by point and 95% confidence interval. The analysis of the psychometric properties of DASS-21 was performed using confirmatory factor analysis (CFA) and the following goodness of fit indices: χ2/df (chi-square ratio by degrees of freedom), Tucker–Lewis index (TLI), comparative fit index (CFI) and root mean square error of approximation (RMSEA) with a 90% confidence interval. Results: The study participants were 529 health professionals (82.4% women and 66.7% nursing professionals). CFA of the DASS-21 structural model presented adequate fit for the sample (χ2/df = 3.530; CFI = 0.979; TLI = 0.976; RMSEA = 0.069). Regarding prevalence, moderate to extremely severe symptoms of depression, anxiety and stress were found in 48.6%, 55.0% and 47.9% of the participants, respectively. Conclusion: The use of DASS-21 confirmed the validity and reliability of the data. The prevalence of depression, anxiety and stress symptoms in the participants indicated a high risk of mental illness in health professionals in the COVID-19 pandemic.
Solving a multi-objective, source & stage location-allocation problem: a case study of a bagasse and cassava pulp ethanol plant in northeastern Thailand

The objective of this research is to select the existing potential ethanol plants for developing to use raw material such as bagasse from sugar industries and cassava pulp from cassava flour industries scoped in northeastern Thailand under three objectives including economic, environmental and social risk objective. The transportation model is a multi-stage problem. Firstly, bagasse and cassava pulp is delivered from sugar mill and cassava flour plant to the ethanol plant. Secondly, ethanol is transported to a blending centre to make gasohol (E10, E20, E85) for vehicles. The computational results show that the existing potential ethanol plants are KI Ethanol Company Limited (Nakhon Ratchasima) for receiving cassava pulp and Petro Green Company Limited (Kalasin) for receiving bagasse and cassava pulp.
Electromyographic and Clinical Investigation of the Effect of Platelet-Rich Plasma on Peripheral Nerve Regeneration in Patients with Diabetes after Surgery for Carpal Tunnel Syndrome

Background Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy. Studies have shown that results of CTS surgery are poorer in patients with diabetes. In this study, the effect of platelet-rich plasma (PRP) on nerve regeneration was investigated through clinical and electromyographic findings in patients with diabetes who underwent CTS surgery. Methods A retrospective analysis of 20 patients with diabetes who had surgically decompressed CTS was conducted. Patients were divided into two groups. The study group received PRP treatment following surgery. The control group did not receive any treatment. Patients were assessed using electromyography and the Boston Carpal Tunnel Syndrome Questionnaire preoperatively as well as postoperatively at 3-month, 6-month, and 1-year follow-ups visits. Results There was a decrease in complaints and an improvement in sensory and motor examinations in both groups. The Boston Carpal Tunnel Syndrome Questionnaire scores did not show any statistically significant differences between the two groups. However, electromyographic findings showed that there were statistical differences between preoperative and postoperative (3 months, 6 months, and 1 year) results in both groups. When the two groups were compared using preoperative and postoperative (3 months, 6 months, and 1 year) electromyographic values, no statistically significant differences were seen. Conclusion Single injections of PRP did not have a significant impact on median nerve regeneration following CTS surgery in patients with diabetes. The effectiveness of multiple PRP injections can be investigated in patients with diabetes in future studies.
Multi-Mode Shape Control of Active Compliant Aerospace Structures Using Anisotropic Piezocomposite Materials in Antisymmetric Bimorph Configuration

The mission performance of future advanced aerospace structures can be synthetically improved via active shape control utilizing piezoelectric materials. Multiple work modes are required. Bending/twisting mode control receives special attention for many classic aerospace structures, such as active reflector systems, active blades, and compliant morphing wings. Piezoelectric fiber composite (Piezocomposite) material features in-plane anisotropic actuation, which is very suitable for multiple work modes. In this study, two identical macro-fiber composite (MFC) actuators of the F1 type were bonded to the base plate structure in an “antisymmetric angle-ply bimorph configuration” in order to achieve independent bending/twisting shape control. In terms of the finite element model and homogenization strategy, the locations of bimorph MFCs were determined by considering the effect of trade-off control capabilities on the bending and twisting shapes. The modal characteristics were investigated via both experimental and theoretical approaches. The experimental tests implied that the shape control accuracy was heavily reduced due to various uncertainties and nonlinearities, including hysteresis and the creep effect of the actuators, model errors, and external disturbances. A multi-mode feedback control law was designed and the experimental tests indicated that synthetic (independent and coupled) bending/twisting deformations were achieved with improved shape accuracy. This study provides a feasible multi-mode shape control approach with high surface accuracy, especially by employing piezocomposite materials.
A driving simulator study to analyze the effects of portable changeable message signs on mean speeds of drivers

ABSTRACT In the United States, between 2003 and 2012, excessive speed was a contributing factor in about one third of all fatal crashes. Intelligent transportation systems (ITS) with the potential to reduce speed and thereby improve safety are therefore of considerable interest. In this article, the mean speeds of drivers affected as a result of four different messages displayed on portable changeable message signs (PCMS) evaluated in an advance-warning area of a work zone are presented. A systematic examination of the combined effects of four sequentially placed PCMS was conducted using a driving simulator (DS). The four messages investigated include speed, state of traffic downstream, and the travel times to exit the work zone. The message sign “Prepare to Stop/Stopped Traffic Ahead” showed the largest reduction in speed relative to the other messages at a location just upstream of the lane closure. The message also showed the largest overall reduction (30.3 mph, 44.1%) in mean speed compared to a control scenario. Greatest impact on drivers' mean speeds was therefore observed resultant of a strong and clearly worded message. A post-DS experiment survey indicated drivers' ranked the message “Speed Ahead 30 mph/X Min To End of WZ” as most effective. The drivers complied closely with this message as the mean and 85th percentile speeds were 26.5 and 30.7 mph, respectively, at a location just upstream of the lane closure. This message also showed the second largest overall reduction (26.3 mph, 38.2%) in mean speed compared to a control scenario. The overall reduction in mean speeds was resultant of combined effects of four PCMS in a work zone.