Miracle-dz/UniFAR-FTUs huggingface dataset:
Outcomes of catheter ablation of ventricular tachycardia in non-ischemic idiopathic dilated cardiomyopathy: A systematic review and meta-analysis

Objective To perform a systematic review and meta-analysis of available trials regarding the outcomes of ventricular tachycardia (VT) ablation in patients with non-ischemic dilated cardiomyopathy (NIDCM). Methods A comprehensive database search of large four electronic databases, including PubMed, Cochrane, Scopus, and Institute for Scientific Information network meta-analysis, identified five studies enrolling 666 patients for patients with idiopathic dilated cardiomyopathy (IDCM) underwent catheter ablation (CA) for VT. The short-term outcomes assessed included procedural success, VT non-inducibility and procedural complications, whereas the long-term outcomes assessed included VT recurrence, heart transplantation, antiarrhythmic drugs (AAD) use after ablation and death. Results A total of 5 observational studies reported outcomes in 666 patients with NIDCM undergoing VT CA. The complete procedural success was moderately high; 65.5% of the patients (95% CI 0.402- 0.857, p < 0.001) and the procedural complications occurred in 5.8% of the patients (95% CI 0.040–0.076, P = 0.685). Epicardial mapping and ablation were performed among 61.5% and 37% of patients with NIDCM respectively. During a follow up period of 12 to 45 months, there were VT recurrence in 34.2% of the patients (95% CI 0.301–0.465, p < 0.080), death in 20.2% of the patients (95% CI 0.059–0.283, p < 0.017) and heart transplantation in 12.9% of the patients (95% CI −0.026–0.245, P < 0.012). Conclusion Ventricular tachycardia CA is effective and safe approach for management of patients with NIDCM with the epicardial approach to be considered as initial strategy especially in presence of ECG and CMR findings suggestive of epicardial substrate. A multicenter randomized trial is crucial to look at the short- and long-term outcomes of VT ablation in NIDCM especially with the advances in mapping and ablation techniques and predictors of success.
Altered functional connectivity of cerebellar networks in first-episode schizophrenia

Introduction Abnormalities of the cerebellum have been displayed to be a manifestation of schizophrenia (SCH) which is a detrimental psychiatric disorder. It has been recognized that the cerebellum contributes to motor function, sensorimotor function, cognition, and other brain functions in association with cerebral functions. Multiple studies have observed that abnormal alterations in cerebro-cerebellar functional connectivity (FC) were shown in patients with SCH. However, the FC of cerebellar networks in SCH remains unclear. Methods In this study, we explored the FC of cerebellar networks of 45 patients with first-episode SCH and 45 healthy control (HC) subjects by using a defined Yeo 17 network parcellation system. Furthermore, we performed a correlation analysis between cerebellar networks’ FC and positive and negative symptoms in patients with first-episode SCH. Finally, we established the classification model to provide relatively suitable features for patients with first-episode SCH concerning the cerebellar networks. Results We found lower between-network FCs between 14 distinct cerebellar network pairs in patients with first-episode SCH, compared to the HCs. Significantly, the between-network FC in N2-N15 was positively associated with positive symptom severity; meanwhile, N4-N15 was negatively associated with negative symptom severity. Besides, our results revealed a satisfactory classification accuracy (79%) of these decreased between-network FCs of cerebellar networks for correctly identifying patients with first-episode SCH. Conclusion Conclusively, between-network abnormalities in the cerebellum are closely related to positive and negative symptoms of patients with first-episode SCH. In addition, the classification results suggest that the cerebellar networks can be a potential target for further elucidating the underlying mechanisms in first-episode SCH.
Developmental Trends for Features Contrastive between African American English and General American English

Purpose: In order to provide developmental guidelines for predicted dialect differences, trends in the use of features contrastive between General American English (GAE) and AfricanAmerican English (AAE) were explored in a representative, national sample. Method: Participants were 1130 AAEand 194 GAE-speaking typically-developing children, ages 4 to 12. A core set of distinguishing developmental features were identified and used in a focused elicitation of contrastive items in obligatory contexts. Responses were analyzed for age-related changes and demographic influences. Results: Major findings include pervasive use of zeromarked forms and predicted substitutions in young typically-developing AAE speakers through age 6. After age 6 the pattern was reversed: levels of zero-marking were lower than overtmarking, but remained distinct from GAE levels of similar forms. Moreover, total absence of overt-marking after age 7 was a-typical. Increased use of overt-marking and other GAE-like forms was observed earlier for constructions like multiple negation and regular past tense /–ed/ than invariant subject-verb agreement (e.g., she run). Parent education and region, but not gender, were significant, but small factors influencing contrastive feature use. Conclusion: Expected contrastive feature shifts were distinguished from general language development and possible clinical indicators.
Distributed Generation in Power Systems: An Overview and Key Issues

The necessity for smart electrical systems having minimum technical loss and environmental impact is providing impetus to go for Distributed Generations (DGs) which may offer several other advantages such as reduced transmission and distribution system resources, increased reliability, better power quality, etc. However, depending on the system configuration and management, these advantages may not be true. Moreover, due to structural and managerial changes in the electricity supply industry motivated with introduction of completion, the role of small generations distributed in the low/medium voltage network has gained importance. This paper adopts a systematic approach by focusing on the most important research areas related to the distributed generations. Various DG technologies are described and penetration of DGs in the Indian system has been discussed. This paper also highlights the key issues in the DG integration in power systems.
Breaking Turtles All the Way Down: An Exploitation Chain to Break out of VMware ESXi

VMware ESXi is an enterprise-class, bare-metal hypervisor dedicated to providing the state-of-the-art private-cloud infrastructures. Accordingly, the design and implementation of ESXi is of our community’s interest, yet lacking a thorough evaluation of its security internals. In this paper, we give a comprehensive analysis of the guest-to-host attack surfaces of ESXi and its recent security mitigation (i.e., the vSphere sandbox). In particular, we introduce an effective and reliable approach to chain multiple vulnerabilities for exploitation and demonstrate our approach by leveraging two new bugs (i.e., uninitialized stack usages), namely, CVE-2018-6981 and CVE-2018-6982. Our exploit chain is the first public demonstration of a virtual machine escape against VMware ESXi.
Robust switching recovery control of a quadcopter aerial vehicle model

Robust Switching Recovery Control of a Quadcopter Aerial Vehicle Model Hasan Başak This thesis presents recovery control schemes that enable a quadcopter unmanned aerial vehicle (UAV) model to cope with a faulty actuation system. First, the computational aspects of the design of fixed-order H∞ controllers are investigated along with the performance they provide for the quadcopter UAV. Double-loop control structures are developed to control the translational velocities of the UAV subject to two different intermittent actuation problems. Fixed-orderH∞ controllers are designed for the nominal and the faulty modes of operation. These closed-loop modes are modelled as a switched system for which stability is analysed using minimum dwell time theory. Average dwell times are also computed by exploiting multiple Lyapunov-like functions that account for the delays in the detection of a fault. The other key contribution of this thesis is the design of a switched recovery control scheme that does not require the explicit detection of the faults. Sufficient conditions are given in terms of linear matrix inequalities (LMIs) coupled with a scalar, and depend on modified Lyapunov-Metzler inequalities. The switched recovery scheme developed consists of jointly designed state feedback gains switched according to a min-switching strategy that preserves closed-loop stability and satisfy a prescribed H∞ or H2 performance. Finally, the inherent fast switching issue of the min-switching strategy is treated at the expense of conservative reformulated LMIs conditions. Furthermore, the state-dependent switched control scheme is extended to output feedback case. Simulation results demonstrate the potential of the developed switching recovery control schemes to overcome various actuation faults.
AN INTRICATE STRINGENT CHUNKING (ISC) DE-DUPLICATION FOR SPACE OPTIMIZATION IN PRIVATE CLOUD STORAGE BACKUP

Cloud Computing has evolved as a service as well as deployment model over the decade in catering data storage and data access technology. Many private data owners prefer utilizing cloud storage service model due to flexibility in maintaining infrastructure, cost and ability to access data over internet. The cost of cloud utilization is determined by the amount of data stored on the cloud environment. It is imperative that optimization of cloud storage for effective data usage enables saving cost, space and effective data utilization. Recent advancements have established digital data in storage medium are redundant and data compression is effective in eliminating data redundancy. Deduplication techniques have been devised to identify and eliminate identical data in cloud. As private cloud storage has limited hardware resources and infrastructure, it is essential to optimally utilize the storage space to be able to hold maximum data. In this paper, we discuss the limitations of the existing de-duplication methods and propose a new scheme for Data De-Duplication. The proposed method of Intricate Stringent Chunking (ISC) De-duplication which is the enhanced File level de-duplication provides dynamic space optimization in private cloud storage backup as well as increases the throughput and enhances the efficiency of deduplication.
The Actual Processes in the Making of Translation Works: Views of Indonesian translators

This paper elaborates the actual processes of translation viewed by Indonesian translators in the making of translation works. Twelve experienced translators having various educational backgrounds, from tourism, English, education, chemistry, pharmacy, law, to philosophy were purposively invited to get involved in this research. This research implemented a descriptive qualitative method aimed to reveal the actual processes of translation experienced by the translators in their day to day activities to deal with translation works. The data were collected through a questionnaire to identify the translators’ actual processes, a deep interview to clarify the translators’ views on their translation practices, and some relevant documents of the translators’ works to confirm the overall translation processes undertaken by the translators. The results showed that the actual processes followed by the translators in the making of translation works were reading the source documents to comprehend the overall messages of the original texts, looking for some relevant references to better understand the source texts, i.e. relevant dictionaries, glossaries in similar topics, theories to support the translator’s understanding of the materials to translate, translating from the source language to the target language, hiring proofreaders to look for some inputs and suggestions, and revising process to see whether or not some parts of the translation works should be revised. Keywords—actual processes; Indonesian translators;
Scalable algorithms for distributed beamforming and nullforming

Constant evolution requirements of Wi-Fi and cellular standards to meet the demands of better power efficiency, longer range and higher throughput of wireless networks has drawn attention to multiple antenna transmitters and receivers, i.e., multi-input multi-output(MIMO) systems. This research falls in the larger context of distributed MIMO, or DMIMO systems, wherein groups of cooperating transceivers organize themselves into virtual antenna arrays which can, in principle, emulate any MIMO technique that a centralized array can support. Beamforming and nullforming are techniques that can be employed by centralized or distributed antenna array, and can be building blocks for MIMO communication systems; these impart directionality to the array and can help cater to the demands of today’s wireless networks. In beamforming, a set of distributed transmitters in a wireless network cooperatively transmit a common message signal in such a way that their individual transmissions add up to a desired SNR level at the set of designated receivers while in nullforming, cooperative transmission ensures that the individual transmissions cancel each other at the set of designated receivers. The key bottleneck in the practical realization of DMIMO is synchronization. Distributed nullforming specifically poses challenges that call for special attention. Here, we develop a set of scalable algorithms for beamforming and nullforming using distributed transmitters by forming a virtual antenna array and overcome the involved challenges in a purely distributed fashion.
Combining 12-Lead ECG Information for a Beat Detection Algorithm

This paper proposes a beat detection algorithm specially tailored to be used with 12 channel ECG records. The algorithm first obtains beat positions on each channel, and then combines this information to get an improved estimate. The detection process involves two stages: 1) single-channel detection: implemented by improving one of the most popular methods (Pan-Tompkins) developed to detect beat positions; and 2) multichannel detection: an algorithm that combines the information of the beat positions obtained in each of the 12 channels. In this way, our results clearly improve those obtained with the single-channel detection method, discarding detection errors, false positives, and duplicated beats. Besides, our single-channel method significantly reduces the temporal error when estimating the positions of QRS complexes. In the multichannel detection, the assessment of our algorithm against one-channel based approaches shows a significant improvement in detection outcome (Se = 99.86%, P+ = 99.98%, RMS RR Interval Error = 25.98 ms, F-Score = 0.9992), making it a good starting point for automatic diagnosis of heart conditions.
SMES/battery hybrid energy storage system based on bidirectional Z‐source inverter for electric vehicles

This study proposes a novel hybrid energy storage system (HESS) composed of a battery pack and a superconducting magnetic energy storage (SMES) for electric vehicle. Typically, the SMES has a higher power density and lower energy density than other energy storage devices, while battery has higher energy density. Thus, the overall HESS performance can be increased in power and energy density by combining SMES and batteries. The proposed HESS is designed based on bidirectional Z-source inverter (ZSI). Compared to other SMES/battery-based HESS topologies that are two stage designs (including DC/DC and AC/DC converters), in this topology, SMES and battery can be incorporated into the Z-source network which results in lower cost and improved HESS performance. Furthermore, the battery converter has been eliminated due to the buck/boost feature of the ZSI. The fuzzy control method and filters are used to distribute power between the SMES and battery. This study also describes the proposed HESS performance principles and its operation in different modes.
Analysis of the Consequences of Disrupting Events on Ongoing Product Development Projects: The Cascading Effects of Severe Influences

The initial planning of the development of complicated products usually requires time and efforts. However, even the most accurate plans are not able to cope with all the uncertainties that might arise during an ongoing project. If a severe uncertainty affect the development project a critical situation arises and a disruption might happen. The present literature does not offer a comprehensive solution on how to investigate these type of events after they occurred. This contribution presents a model that aims to analyse and better understand disruptions that affect ongoing product development projects.
A systematic performance-oriented tuning for space exploration descent & landing

Abstract Descent & landing (D&L) on planetary bodies are scientifically rewarding exploration missions but also challenging due to the complex and poorly-known environment around those bodies. As an outcome of a cooperation between the University of Bristol and Airbus DS on D&L trajectory/cost optimisation, this paper proposes an industry-oriented methodology for guidance tuning. It employs systematic highfidelity simulation to generate trade-off maps on ground that can be applied once the spacecraft approaches the target, with its actual conditions in mind. This also provides a valuable understanding of the system dynamics towards the application of other industry-oriented tools including structuredH∞ optimisation. In the end, it is shown that this approach enables propellant consumption reductions of around 40% compared to state-of-practice tuning selections.
Optimal Location Model And Algorithm Of The Emergency Exits

In evacuation, the emergency exits are important. The exit’s location is a key which decides the success of evacuation. So how to build the emergency exits is worth to researching. In this paper, the effect of the emergency exit and main door are considered. The emergency exit’s ordinate is defined as the independent variable. Then a model of exits is proposed and the golden section algorithm is used to find the most suitable location. At last, it is verified that the method is effective and feasible.
Software libre de reconocimiento de billetes para personas en situación de discapacidad visual

Resumen. Los sistemas de reconocimiento de billetes para asistencia a personas con discapacidad visual presentan un alto grado de complejidad debido a la gran variedad de situaciones por resolver. El sistema descripto en el presente proyecto puede distinguir las denominaciones de billetes argentinos en diferentes posiciones, escalas y incluso en forma parcial. Los objetivos son: desarrollar un programa de software capaz de identificar billetes argentinos, su denominación y comunicar por medios auditivos esa clasificación; mejorar la calidad de vida de las personas con discapacidad visual; favorecer a la integración de las personas con discapacidad visual a la sociedad; aportar a la sociedad nuevas herramientas que ayuden a la integración de sus individuos; impulsar el desarrollo de aplicaciones de software libre y colaborativas; generar una aplicación de software accesible desde los aspectos de diseño, costo, libertad de uso, adaptabilidad, mantenibilidad en el tiempo, reusabilidad, seguridad y precisión. Actualmente se cuenta con prototipos para el reconocimiento de billetes y funcionalidades básicas en diferentes plataformas.
The role of Internet in creating, financing and integrating language resources

The article describes the manifold influence of Internet on creating and using language resources: language resources that are made available via Internet tend to be in a standard format; it is relatively easy to get sponsor money for creating language resources if they are intended to be available in the Internet; third parties often put material on-line which appears to be a language resource without the creators being aware of it; completely new applications, taking advantage of on-line language resources, become available (like translation aids); the freedom to use language resources in Internet is less hindered by the copyright problems. At present the possibilities of Internet in using language resources have not been fully realized. Internet is mostly used as a medium for transporting language resources from one local point to another. At the same time, Internet is an environment allowing smooth integration of language resources, e.g. various on-line dictionaries via their query forms; text documents with on-line language resources via hyperlinks; text corpora with dictionaries via hyperlinks. The existing technology allows for more applications than are available at the moment; it also allows for more sophisticated applications.
Decoding brain-computer interfaces

Neuroengineering Brain-computer interfaces (BCIs) can help humans with compromised motor function by using their brain activity to externally control movements. Existing methods, however, require extensive user training and effort. Ganesh et al. developed a BCI technique for decoding sensorimotor prediction errors that requires less user energy. It subliminally stimulates the user to think about an activity and then, instead of decoding what movement a user intends, decodes whether the movement that the user wants matches the sensory feedback that the stimulator induced. In 12 healthy individuals performing a wheelchair-turning task, this interface represented movements speedily (within 96 milliseconds) and without any training. Sci. Adv. 10.1126/sciadv.aaq0183 (2018).
A Novel adaptative Discrete Cuckoo Search Algorithm for parameter optimization in computer vision

Computer vision applications require choosing operators and their parameters, in order to provide the best outcomes. Often, the users quarry on expert knowledge and must experiment many combinations to find manually the best one. As performance, time and accuracy are important, it is necessary to automate parameter optimization at least for crucial operators. In this paper, a novel approach based on an adaptive discrete cuckoo search algorithm (ADCS) is proposed. It automates the process of algorithms’ setting and provides optimal parameters for vision applications. This work reconsiders a discretization problem to adapt the cuckoo search algorithm and presents the procedure of parameter optimization. Some experiments on real examples and comparisons to other metaheuristic-based approaches: particle swarm optimization (PSO), reinforcement learning (RL) and ant colony optimization (ACO) show the efficiency of this novel method.