Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-Term Outcomes after Catheter Ablation of Ventricular Tachycardia in Dilated vs. Ischemic Cardiomyopathy

Ischemic (ICM) and dilated cardiomyopathy (DCM) represent the two main underlying heart diseases in patients referred for catheter ablation of ventricular tachycardia (VT). While VT ablation in ischemic cardiomyopathy is relatively well-studied, data in patients with DCM are still scarce. The study aimed to compare the acute and long-term outcomes in patients with ICM and DCM who underwent VT ablation at a high-volume center. Consecutive patients who underwent VT ablation from April 2018 to April 2021 were included retrospectively. Patients with ischemic cardiomyopathy were compared to those with dilated cardiomyopathy. The primary endpoint was rate of VT recurrences, the secondary endpoints included overall mortality, rehospitalization because of cardiac condition (VT, acute heart failure, acute myocardial infarction, heart transplantation or implantation of left ventricular assisting device), and major adverse cardiac events (MACE) at long-term follow-up. A total of 225 patients admitted for first VT ablation were included. A total of 156 patients (69%) revealed ICM and 69 (31%) DCM. After a mean follow-up of 22 months, the primary endpoint of VT recurrence occurred significantly more often in the patients with dilated cardiomyopathy (ICM n = 47; 37% vs. DCM n = 34; 64%; p = 0.001). In regard to the secondary endpoint of overall mortality, there was no difference between the two patient cohorts (DCM n = 9; 15% vs. ICM n = 22; 16%; p = 0.677); the patients with DCM showed significantly higher rehospitalization rates due to cardiac conditions (75% vs. 59%; p = 0.038) and more frequent MACE (68% vs. 52%; p= 0.036). In a Cox regression model, electrical storm at admission was shown to be a predictor for VT recurrence after successful catheter ablation (HR = 1.942: 95% CI 1.237–3.050; p = 0.004), while the ablation of every induced VT morphology during the procedure (HR = 0.522; 95% CI = 0.307–0.885; p = 0.016) contributed to a positive long-term outcome. DCM is associated with a higher risk of VT recurrence after catheter ablation compared to ICM. Furthermore, patients with DCM are more frequent re-hospitalized in the majority of cases due the VT recurrence. There is no difference in the long-term mortality between the two cohorts.
Post Occupancy Evaluation of Sustainable Schools and Children's ways of Knowing: New Directions in Teaching and Research

INTRODUCTION Architecture is now more than ever dominated by scientific method. This paper examines what is really at stake when designing sustainable architecture. It is a methodological study and focused on science as understood in Post Occupancy Evaluation (POE) of sustainable buildings, specifically school buildings. Questions raised in this paper include the very real problem of designing for children’s comfort and education in school architecture, but also much wider issues than simply those of the design of children’s environments. Children's ways of knowing, thinking and feeling, represent the antithesis of what might be considered reliable feedback about the performance of a building. Children are not considered to have the same status as adult human beings; the truth of their experience, their understanding of reality, the reliability of their data, is in question. Diverse ways of constructing knowledge are recognized by researchers, even in the field of construction, but even from the perspecti.
Design and Control of a Miniature Bipedal Robot with Proprioceptive Actuation for Dynamic Behaviors

As the study of humanoid robots becomes a world-wide interdisciplinary research field, the demand for a cost-effective bipedal robot system capable of dynamic behaviors is growing exponentially. This paper presents a miniature bipedal robot named Bipedal Robot Unit with Compliance Enhanced (BRUCE). Each leg of BRUCE has five degrees of freedom (DoFs), which includes a spherical hip joint, a knee joint, and an ankle joint. To lower the leg inertia, a cable-driven differential pulley system and a linkage mechanism are applied to the hip and ankle joints, respectively. With the proposed design, BRUCE is able to achieve a similar range of motion to a human's lower body. The proprioceptive actuation and contact sensing further prepare BRUCE for interactions with unstructured environments. For real-time control of dynamic motions, a convex formulation for model hierarchy predictive control (MHPC) is introduced. MHPC plans with whole-body dynamics in the near horizon and simplified dynamics in the long horizon to benefit from both model accuracy and computational efficiency. A series of experiments were conducted to evaluate the overall system performance including hip joint analysis, walking, push recovery, and vertical jumping.
Fetal Lung Volumes in Pregnancies that Deliver Very Preterm: a Pilot Study

Background Infants born preterm are at increased risk of pulmonary morbidity. The contribution of antenatal factors to impairments in lung structure/function has not been fully elucidated. This study aimed to compare standardized lung volumes from fetuses that delivered<32 weeks gestation with fetuses that delivered >37 weeks. Fourteen women who delivered <32 weeks gestation and 56 women who delivered >37 underwent a fetal MRI. Slice-volume reconstruction was then used and the fetal lungs were then segmented using multi-atlas approaches. Body volumes were calculated by manual segmentation and lung:body volume ratios generated. novel findings and suggest an antenatal aetiology of insult and possible focus for future preventative therapies.
Caught between COVID-19, Coup and Conflict—What Future for Myanmar Higher Education Reforms?

On 1 February 2021, Myanmar military dictators seized power from the elected government and halted the country’s budding reform process. This article explores how Myanmar’s higher education (HE) sector was affected by the coup and COVID-19 and how this has resulted in societal conflict. The article reviews first the history of military coups, then the education reforms in general and what was done in HE, before discussing the effects of COVID-19 and the coup on the sector. Voices from HE teaching staff show the tension in the role of HE as a vehicle for reform and promulgation of those in power. The article argues that the national vision propagated by Myanmar’s HE sector is juxtaposed to that propagated by the Tatmadaw, both claiming to represent Myanmar’s future. This research highlights the dual forces of the COVID-19 pandemic and military coup at a crucial time for HE reforms in a fragile, conflict-affected state, with the future of the reform goals of equity and equality of the sector at stake.
Smurf Security Defense Mechanism with Split-protocol

— Network intrusion has been a difficult problem to solve due to the rapid growth of the Internet in recent years. Securing computers from harmful attacks are becoming the unprecedented challenging issues for internet users. Every day the recognition of new attacks is becoming a harder problem to crack in the field of Computer Network Security. Currently, Denial of Service (DoS) attacks is affecting the large number of computers in the world on a daily basis. Detecting and preventing computers from DoS attacks is a major research topic for researchers throughout the world. The migratory nature and role changeover abilities of servers in Split-protocol avoid bottleneck on the server side. It also offers the unique ability to avoid server saturation and compromise from DoS attacks. The goal of this paper is to present the idea of Split-protocol as a protection technique against DoS attacks.
background baroque music help to improve the memorability of graphical passwords? In: Image analysis and recognition:

Graphical passwords have been proposed as an alternative to alpha-numeric passwords with their advantages in usability and security. However, they still tend to follow predictable patterns that are easier for attackers to exploit, probably due to users’ memory limitations. Various literatures show that baroque music has positive effects on human learning and memorizing. To alleviate users’ memory burden, we investigate the novel idea of introducing ba-roque music to graphical password schemes (specifically DAS, PassPoints and Story) and conduct a laboratory study to see whether it is helpful. In a ten minutes short-term recall, we found that participants in all conditions had high re-call success rates that were not statistically different from each other. After one week, the music group coped PassPoints passwords significantly better than the group without music. But there was no statistical difference between two groups in recalling DAS passwords or Story passwords. Further more, we found that the music group tended to set significantly more complicated PassPoints passwords but less complicated DAS passwords.
Pengembangan Media Pembelajaran Sistem Pencernaan Manusia Untuk Kelas 8 SMP Dengan Fitur Augmented Reality Berbasis Android (Studi Kasus : SMPN 7 Depok)

Kurangnya media pembelajaran yang memudahkan dalam mempelajari materi sistem pencernaan manusia menjadi kendala tersendiri bagi guru dan murid sehingga dilakukan penelitian yang bertujuan untuk mengembangkan dan mengetahui keefektifan media pembelajaran sistem pencernaan manusia untuk kelas 8 SMP dengan fitur Augmented Reality berbasis Android dengan mengambil studi kasus di SMPN 7 Depok. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan ADDIE yang terdiri dari lima tahapan yaitu Analisis (Analyze), Perancangan (Design), Pengembangan (Development), Penerapan (Implementation), dan Evaluasi (Evaluation). Instrumen yang digunakan dalam menguji kelayakan dan keefektifan media pembelajaran adalah angket dan soal tes. Media pembelajaran diuji kelayakannya oleh ahli materi dan ahli media dengan hasil media pembelajaran layak untuk digunakan oleh siswa. Untuk menguji keefektifan media pembelajaran dilakukan melalui pretest dan posttest serta angket tanggapan siswa setelah menggunakan media pembelajaran, dengan hasil tes terdapat peningkatan hasil belajar signifikan setelah menggunakan media pembelajaran serta hasil angket yang mendapatkan total presentase 88,56% dengan keterangan sangat baik. Berdasarkan hasil evaluasi, media pembelajaran layak dan efektif untuk digunakan dalam pembelajaran materi sistem pencernaan manusia untuk kelas 8 SMP.
The Use of ICTs in English Reading of Thai EFL MBA Students in Thailand

This study aimed to explore the levels of ICT skills and attitudes towards the benefits and problems of ICT use in English reading. The surveyed participants were 240 Thai EFL MBA students enrolled at eight major universities in Bangkok and four major universities outside of Bangkok. Twelve students were also selected for an in-depth interview based on a purposeful sampling of the maximum variation. Grounded in multiliteracies and English reading frameworks, the study was an explanatory mixed-method study that combined quantitative and qualitative studies. Major data sources included the edited Information and Communication Technology Use and Skills for Learning English Questionnaire and face-to-face interviews. The quantitative results demonstrated that the interviewed participants rated themselves as unskilled in most activities except Word processing, Presentation software, Spreadsheets, and Securing their electronic devices. According to the qualitative results, the benefits of ICTs included the convenience of ICT use, the use of an equalizer, the motivation to learn, authentic language, and open-mindedness while the challenges of ICTs included some limited Internet access, less face-to-face interaction, health issue, and Internet dependency.
A Wavenet for Music Source Separation

Currently, most successful source separation techniques use magnitude spectro-grams as input, and are therefore by default discarding part of the signal: the phase. In order to avoid discarding potentially useful information, we propose an end-to-end learning model based on Wavenet for music source separation. As a result, the model we propose directly operates over the waveform – enabling, in that way, to consider any information available in the raw audio signal. Provided that the original Wavenet model operates sequentialy (i.e., is not parallelisable and hence slow), in this work we make use of a discriminative non-causal adaptation of Wavenet capable to predict more than one sample at a time – thus permitting to overcome the undesirable time-complexity that the original Wavenet model has. Further, we investigate several data augmentation techniques and architectural changes to provide some insights on which are the most sensitive hyper-parameters for this family of Wavenet-like models. Our experimental results show that it is possible to approach the problem of music source separation in a end-to-end learning fashion, since our model performs on par with DeepConvSep – a state-of-the-art method based on processing magnitude spectrograms.
An Ultra Low Power Voltage Reference using Charge-pump and Switched Capacitor Network

of the Thesis An Ultra Low Power Voltage Reference using Charge-pump and Switched Capacitor Network by Shikhar Tewari Master of Science in Electrical and Computer Engineering Northeastern University, August 2018 Prof. Aatmesh Shrivastava, Advisor With millions of new Internet of Things (IoT) devices getting interconnected in the existing network, operating IoT systems on harvested energy is the only feasible option to eliminate the cost of millions of battery replacements. Operating IoT systems by harvesting energy from available ambient sources necessitate ultra low power (ULP) consumption of all new IoT systems, which are made up of a number of different analog/mixed signal blocks. An essential element of all these analog/mixed signal blocks is a stable and precise voltage reference. The thesis presents an ultra low power sub-bandgap voltage reference implemented in 130nm BiCMOS process. It consumes 32.8nW, and is operational from a 600mV supply. The design uses charge-pumps to bias parasitic Bipolar Junction Transistors (BJTs) and generate a reference voltage at the output of a switched capacitor network. Use of BJTs ensures less drift in the reference voltage across process corners when compared to other CMOS-only voltage references also consuming ultra low power. The voltage reference of 500mV is achieved with a temperature variation of 46.7ppm/◦C, and PSRR (Power Supply Rejection Ratio) of -59dB at DC using current source architecture. The circuit has an area of 0.0436mm2. The design also incorporates trimming circuits for process variation and a temperature based trimming scheme to reduce the temperature variation of the reference voltage. The thesis also presents a switched capacitor based reference voltage scaling circuit, to provide dynamic voltage scaling (DVS) capabilities.
An Ontology for User Proﬁle Modelling in the Field of Ambient Assisted Living

—The lack of social integration of elderly people, especially with impairments like restricted mobility, is a huge problem. Often, these people become isolated and social contacts become impoverished. Ambient Assisted Living (AAL) IT systems should support elderly people to stay in contact with their social environment and should be adaptable exactly to their personal needs. In this paper, we present a platform offering assistance in communication, information acquisition and learning for elderly people to allow them to stay longer at their own familiar homes. The services of this platform are context aware and personal-izable. Many AAL systems are context aware, but often focus on the environmental context and not on the users themselves and their personal characteristics, like health condition, interests, needs, etc. In this work, the context is modelled as an ontology, where the user is the central concept of the platform, in order to realize personalization of services and a better assistance by the system. The ontology developed by the project Person Centered Environment for Information, Communication and Learning (PCEICL) offers a historical view of the user’s changing characteristics and environment, is simply expandable and is used within the platform by software agents to communicate between single services to adapt to the users needs.
IL-6 Response Element -Fibrinogen Gene Functions as an g of Human A SAF Binding Site in the Promoter Region

Expression of ﬁbrinogen is highly induced during inﬂammation, and such abnormal expression of this protein is considered as a major cardiovascular risk factor. IL-6 is one of the main mediators of abnormal expression of ﬁbrinogen leading to the pathogenic conditions. Transient transfection and EMSA were performed to investigate the molecular mechanism of IL-6-induced g -ﬁbrin-ogen gene expression in hepatic cells. Using progressively deleted 5 * fragments of the g -ﬁbrinogen promoter coupled to chloramphenicol acetyltransferase gene, an IL-6 responsive element located between positions 2 273 and 2 259 was identiﬁed. Mutation of this element abrogates IL-6 responsiveness of the g -ﬁbrinogen promoter. Interaction of this promoter with a zinc ﬁnger transcription factor, serum amyloid A activating factor (SAF)-1, was demonstrated by EMSA. Furthermore, overexpression of wild-type SAF-1 in transfected liver cells can increase transcription of the g -ﬁbrinogen promoter. These data show that transcription factor SAF-1 is involved in the regulation of IL-6-mediated induction of the human g -ﬁbrinogen gene in liver cells. The Journal of Immunology, 2000, 165: 3411–3417. the of ﬁbrin that is in blood Statistical analyses of clinical ﬁndings show that high circulating levels of ﬁbrinogen an increased of myocardial infarction and stroke (1, 2). In ﬁbrinogen levels higher in patients hypertension, among smokers. constitutively several fold in
Low power modulo reduction technique and its application in residue-to-binary converters

In this thesis, novel modulo reduction algorithms are proposed that considerably simplify a large modulo operation to the sum of a number of small modulo operations. By applying the proposed modulo reduction algorithms to the modified Chinese Remainder Theorem (CRT), the complexity of modulo operation in the modified CRT is reduced significantly. The modulo reduction technique and the modulo reduced modified CRT are applied to derive R/B algorithms for two existing three-moduli sets and four newly found three-moduli sets. A novel R/B converter for N 1 = {2 n , 2 n + 1, 2 n - 1} with reduced modulo operations is proposed to show the efficiency of the proposed modulo reduction technique. Novel MUX-based designs of some components needed for constructing the new converter are developed. New unsigned and signed-2's complement incrementer/decrementer are designed to implement the operation of Z ± 1. The new modulo incrementer and decrementer are developed to implement the operations of [Special characters omitted. ] and [Special characters omitted. ] . (Abstract shortened by UMI.)
A. Proofs of Geometric Properties

Consider the same setup as in A.1. The visibility field satisfies a similar property: ⇠(p+ v, v) = ⇠(p, v), as the visibility cannot change when moving along the same view line (away from S). Thus, we get rp⇠(p, v)T v = 0. A.2. Property II: Surface Normals Consider a coordinate system with origin q0 2 S, with a frame given by (bi,bj,bk) where bk = n(q0) andbi,bj 2 Tq0(S) spans the tangent space at q0. Locally, near q0, reparameterize S in this coordinate system via
Supplementary Materials: Multimodal Token Fusion for Vision Transformers

More input modalities. In Table 7, we further evaluate our TokenFusion with more modality inputs from 1 to 4. When the number of input modalities is larger than 2, we adopt the group allocation strategy as proposed in Sec. 3.4 of our main paper. By comparison, the performance is consistently improved when using more modalities, and TokenFusion is again noticeably better than CEN [5], suggesting the ability to absorb information from more modalities. Network sharing. As mentioned in Sec. 3.4 of our main paper, we adopt shared parameters in both Multi-head SelfAttention (MSA) and Multi-Layer Perception (MLP) for the fusion with homogeneous modalities, and rely on modalityspecific Layer Normalization (LN) layers to uncouple the normalization process. Such network sharing technique is evaluated by our experiments including multimodal imageto-image translation (in Sec. 4.1) and RGB-depth semantic segmentation (in Sec. 4.2), which largely reduces the model size, and also enables the reuse of attention weights for different modalities. In Table 8, we further conduct ablation studies to demonstrate the effectiveness of our network sharing scheme. Fortunately, the comparison indicates that our default setting (i.e., Shared MSA and MLP, individual LN) achieves a win-win scenario: apart from the advantage on storage efficiency, also achieves better results than using individual MSA and MLP on both tasks. Note that further sharing LN layers leads to the performance drop, especially on the image-to-image translation task. In addition, we adopt shared Positional Embeddings (PEs) by default for the fusion with homogeneous modalities, and we observe that sharing/unsharing PEs can achieve comparable performance in practice. Combining TokenFusion with channel-wise fusion. Our TokenFusion detects uninformative tokens and re-
Instabilities in threshold-diusio n equations with delay

The introduction of delays into ordinary or partial dierential equation models is well known to facilitate the production of rich dynamics ranging from periodic solutions through to spatio-temporal chaos. In this paper we consider a class of scalar partial dierential equations with a delayed threshold nonlinearity which admits exact solutions for equilibria, periodic orbits and travelling waves. Importantly we show how the spectra of periodic and travelling wave solutions can be determined in terms of the zeros of a complex analytic function. Using this as a computational tool to determine stability we show that delays can have very dierent eects on threshold systems with negative as opposed to positive feedback. Direct numerical simulations are used to conrm our bifurcation analysis, and to probe some of the rich behaviour possible for mixed feedback.
Lecture 4: NNGP, Dual Activations, and Over-parameterization

Having established the kernel regression framework, we now make explicit the connection between kernel regression and training the last layer of infinitely wide neural networks given by the Neural Network Gaussian Process (NNGP). We will develop the machinery to compute the NNGP for 1 hidden layer nonlinear networks, and present examples of applying kernel regression with the NNGP for varying activation functions. We will lastly introduce the double descent curve, which demonstrates that using higher dimensional feature maps (e.g. using wider neural networks) leads to improved generalization. Our derivation of the NNGP for 1 hidden layer neural networks lays the foundation for the derivation of the NNGP and Neural Tangent Kernel for networks of arbitrary depth in the upcoming lectures.