Miracle-dz/UniFAR-FTUs huggingface dataset:
C1-C2 Dorsal Epidural Hematoma on Cervical Spine CT: A Novel Imaging Sign of Posterior Atlanto-Occipital Membrane Stripping Injury

Background and Purpose: Identify patients with a dorsal epidural hematoma at C1-C2 and examine the major craniocervical junction ligaments for injury on follow-up magnetic resonance imaging. Materials and Methods: Adult and pediatric trauma patients who suffered a dorsal epidural hematoma at C1-C2 were identified using Nuance mPower software (Nuance Communications, United States). The cervical computed tomography and magnetic resonance imaging exams for these patients were reviewed for craniocervical junction osteoligamentous injuries. An age-matched control group was obtained. Results: Eight trauma patients were identified with a dorsal epidural fluid collection at C1-C2. All patients with a dorsal epidural hematoma, who underwent follow-up cervical magnetic resonance imaging demonstrated a stripping injury of the posterior atlanto-occipital membrane from the C1 posterior arch with increased short tau inversion recovery signal in the posterior atlanto-occipital membrane complex. Disruption of additional major craniocervcial ligaments on magnetic resonance imaging was relatively common with the most frequently associated ligamentous injuries involving the tectorial membrane (five patients) followed by the alar ligaments and anterior altanto-occiptial membrane (four patients each). Conclusions: A C1-C2 dorsal epidural hematoma is a rare injury that may be identified on cervical spine computed tomography but may be easily overlooked by the radiologist. We propose that a C1-C2 dorsal epidural hematoma is a direct result of a significant hyperflexion-hyperextension force with subsequent stripping of the posterior atlanto-occipital membrane from the posterior C1 arch. Trauma patients with a C1-C2 dorsal epidural hematoma on cervical spine computed tomography should undergo a cervical magnetic resonance imaging examination to evaluate the integrity of the posterior atlanto-occipital membrane complex and remaining craniocervical junction ligaments for injury.
Virtualy Program for Stroke Rehabilitation - A Review

Stroke is classically characterized as a neurological deficit attributed to an acute focal injury of the central nervous system (CNS) by a vascular cause, cerebral infarction, intracerebral haemorrhage (ICH), and subarachnoid haemorrhage (SAH), and is a major cause of disability and death worldwide [1]. Stroke affects about 17 million people per year worldwide, with an increasing rate every year [2]. Stroke survivors often suffer from physical and mental disabilities, heavily impacting their quality of life. Five years after the first stroke, nearly 66% of patients exhibit different degrees of disability and only 34% are functionally independent in their activities of daily living [3]. Stroke is a disorder associated with long term disability and is more common in older people [4]. The symptoms of stroke such as cognitive, motor and emotional sequelae often impact on a person’s level of independence and quality of life [5]. The purpose of neurological rehabilitations is to promote a rapid recovery from the manifold post-stroke deficits and the attainment of a lifestyle, as close as possible to the premorbid state [6].
Immune-Mediated Cutaneous Paraneoplastic Syndromes Associated With Hematologic Malignancies: Skin as a Mirror of Hematologic Neoplasms

Malignant neoplasms may present as paraneoplastic syndromes with mucocutaneous manifestations, which may or may not be chronologically associated. The pathophysiological mechanism is complex and not completely understood; therefore, definitive diagnosis may be achieved with a precise differential diagnosis based on the morphology of skin lesions, clinical picture, and histological pattern. The complexities, and low frequency, make the therapeutic approach quite challenging; consequently, the cornerstone of therapy is the eradication of the underlying neoplasms. Corticosteroids are the therapy of choice for most of these immune-mediated manifestations, but for the most part, the successful resolution requires the eradication of the underlying malignancy.
Sub-resolution assist feature placement with generative adversarial network

Abstract. Background: As the design layout of integrated circuits (ICs) is continually scaling down, sub-resolution assist features (SRAF) have been extensively used in resolution enhancement technique applications to enhance lithography printing fidelity and widen the manufacturing process window (PW). With conventional SRAF insertion techniques, rule-based SRAF (RB-SRAF) and model-based SRAF (MB-SRAF) methods have since been widely adopted. Aim: The typical RB-SRAF is an efficient method to generate SRAFs consistently for simple designs but cannot be optimized for multiple critical patterns or complex layout schemes. Although MB-SRAF is able to achieve better PW as well as reducing conflicts between placement rules and clean-up rules, many iterations for convergence and extremely high computational costs are required. The explosion of machine learning techniques could facilitate the complex processes of mask optimization, such as SRAF insertion. Approach: Generative adversarial network was studied on a Via layer of advanced 3D NAND flash memory, by training target images and Inverse Lithography Technology (ILT) images of target patterns. GAN models, pix2pix, and CycleGAN, were first trained and then utilized to synthesize realistic ILT images. Results: These ILT images were eventually translated to polygons of SRAF with simplification process and mask manufacturing rules check constraints. The simulation results demonstrate that CycleGAN approach can place SRAF with comparable performance to mask optimization (MO) result which was optimized by the Tachyon source-mask optimizer (SMO). Conclusions: Methodologies of SRAF placement based on GANs were demonstrated in this paper. While traditional MO approach showed the best lithography performance, CycleGAN in particular was close behind and had much better performance than conventional RB-SRAF approach, whilst achieving good stability for different layout environments. Most importantly, the efficiency of SRAF insertion can be enhanced significantly through GANs.
Physical Modeling of Timpani Drums in 3D on GPGPUs

Powerful parallel hardware, such as general purpose graphical processing units (GPGPUs), is now becoming a viable tool in audio engineering research, with great potential in applications involving heavy computational loads. One particular area of interest is large scale audio rate physical modeling synthesis of instruments embedded in a full 3D environment. This paper explores the particular test case of the timpani drum using the finite difference time domain (FDTD) method, which is suitable for parallelization. The constituents of the timpani model, namely a membrane and cavity are introduced, as well as the coupling conditions to the acoustic field. FDTD methods are then developed, with special attention paid to implementation issues in parallel hardware. An analysis of performance on the Nvidia Tesla architecture, simulation results and sound examples are presented.
Double-bump surface-mount technology for very high IO interconnections

An area-distributed surface-mount technology that is suitable for the solder assembly of VLSI packages onto printed circuit boards is discussed. This double-bump technology entails the controlled overlapping of two molten solder bumps on both package and substrate to form a nearly cylindrical joint. A mechanical standoff is used to control the final separation between the IC package and the printed circuit board, and hence the solder joint height and shape. A simple analytical model, which provides a good understanding of the solder joint geometries which are achievable and how the joint geometry is influenced by the principal design and process parameters, was developed. This assembly technology offers several advantages. It is an evolutionary development of the well established solder-bump technology, but it provides a columnlike joint geometry and thus offers potential for better reliability and higher density. It provides a large process window because it allows for the inspection of wettability of package and substrate before assembly, and the assembly process itself involves the melting together of two molten solder surfaces. It offers the potential for the electrical inspection of hidden solder joints. <<ETX>>
Output power measurement of photonic millimetre-wave and sub-millimetre-wave emitter at 100-800 GHz

A photonic millimetre-wave and sub-millimetre-wave emitter (PME) that uses a log-periodic antenna and a uni-travelling carrier photodiode has been fabricated and tested. The output power and spectra of the PME were measured with a Fourier transform spectrometer and a bolometer at 100-800 GHz in a low-power excitation condition. The extrapolated output power with 15 mA photocurrent is several tens of microWatts in the 300-600 GHz range.
Significance of Traditional and Advanced Morphometry to Fishery Science

Morphometric characters of fishes are measurable or metric characters. Morphometrics is a more or less interwoven set of large statistical procedures to analyze variability in the size and shape of organisms. Morphometrics and phylogenetics of a species are combined to utilize existing phylogeny which addresses hypotheses of shape change through evolutionary time. Morphometric differences among stocks of a species are recognized as important to evaluate population structure and form a basis to identify stocks. Advancements in morphometrics used powerful tools for testing and displaying differences in shape, isolated shape from size variation and identifying stocks of species with unique morphological characteristics enabling better management of the species. Traditional or standard morphometry has been improvised from time to time with advanced methods by technological advancements like geometric morphometrics, image analysis, principal component analysis, truss network analysis and multivariate analysis as well as many more to update knowledge and get more accurate information. These advanced methods have strengthened earlier technologies to improve upgrade fishery research throughout the globe. Doi: 10.28991/HEF-2020-01-03-05 Full Text: PDF
Utilidad del Deep Learning en la predicción del fracaso empresarial en el ámbito europeo

En este trabajo pretendemos constatar la utilidad de las redes neuronales del Deep Learning en la predicción del fracaso empresarial, en particular, de las redes de alimentación hacia adelante (feedforward neuronal networks, en inglés). Se trata de una metodología caracterizada por proporcionar muy buenos resultados en términos de capacidad predictiva cuando se dispone de grandes tamaños muestrales. Para ello hemos desarrollado un modelo de predicción empresarial en empresas europeas, basado en dicho algoritmo, sobre una muestra formada por 61.624 empresas de las cuales 12.128 fueron declaradas en concurso en 2016. Como variables independientes se han considerado ratios y magnitudes económico-financieras obtenidas de las cuentas anuales del año anterior a la fecha del fracaso. Deep Learning logra una capacidad predictiva del 94%, de manera que presentan una mayor propensión al fracaso aquellas que tienen un mayor tamaño y una solvencia menor. Los resultados que se presentan se han contrastado en una submuestra de comprobación independiente y diferente a la empleada para estimar el modelo.
Pathways to polar adaptation in fishes revealed by long-read sequencing

Long-read sequencing is driving a new reality for genome science where highly contiguous assemblies can be produced efficiently with modest resources. Genome assemblies from long-read sequences are particularly exciting for understanding the evolution of complex genomic regions that are often difficult to assemble. In this study, we leveraged long-read sequencing data to generate a high-quality genome assembly for an Antarctic eelpout, Opthalmolycus amberensis, the first for the globally distributed family Zoarcidae. We used this assembly to understand how O. amberensis has adapted to the harsh Southern Ocean and compared it to another group of Antarctic fishes: the notothenioids. We showed that selection has largely acted on different targets in eelpouts relative to notothenioids. However, we did find some overlap; in both groups, genes involved in membrane structure, thermal tolerance, and vision have evidence of selection. We found evidence for historical shifts of transposable element activity in O. amberensis and other polar fishes, perhaps reflecting a response to environmental change. We were specifically interested in the evolution of two complex genomic loci known to underlie key adaptations to polar seas: hemoglobin and antifreeze proteins (AFPs). We observed unique evolution of the hemoglobin MN cluster in eelpouts and related fishes in the suborder Zoarcoidei relative to other Perciformes. For AFPs, we identified the first species in the suborder with no evidence of afpIII sequences (Cebidichthys violaceus) in the genomic region where they are found in all other Zoarcoidei, potentially reflecting a lineage-specific loss of this cluster. Beyond polar fishes, our results highlight the power of long-read sequencing to understand genome evolution.
Finite element analysis and experimental verification of SOI waveguide bending loss

Bending and transition losses in silicon‐on‐insulator rib waveguides were calculated using finite‐element analysis of equivalent straight waveguides with perfectly matched boundary layers. Experimental loss measurements of silicon‐on‐insulator waveguides with various bend radii reveal that this technique accurately predicts loss and minimum bend radius for efficient design. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 699–702, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24135
Antenna shielding method reducing interaction between user and mobile terminal antenna

A new method to decrease the effect of the hand and head on the operation of mobile terminal antennas at the 900 MHz frequency band is introduced. The proposed structure consists of two antenna elements. Depending on the use position, the better-performing antenna element is selected and the other is acting as a shield. It is shown by simulations that the proposed structure can improve the total efficiency with the hand by up to 4.8 dB and decrease the maximum specific absorption rate in the head by 30-44% compared to the traditional single element structure.
Effects of transformational leadership on teachers’ self-efficacy in education for sustainable development: A serial mediation analysis

Based on empirical evidence, this study aimed to analyze the effect of transformational leadership on teachers' self-efficacy in ESD and test mediation effects in the relationship between transformational leadership and teachers' self-efficacy in ESD. To this end, researchers constructed nine hypotheses, predicting direct effects among variables, each single mediation effect of two mediators, and serial multiple mediation effect. The participants of the research consisted of 193 Korean in-service teachers. Data analysis was conducted using descriptive statistics, the Pearson correlation coefficient, and multiple regression analysis. In addition, researchers applied serial mediation procedures with PROCESS Macro for SPSS to test specific mediate effects based on the bootstrap method. The the research, there were identified mechanisms through which the influence of the principal's transformational leadership on teachers' efficacy occurs in the context of ESD. The findings of the study were discussed in the light of relevant literature, and some suggestions were made for the future. Keywords:Education for Sustainable Development (ESD); Transformational leadership; Teachers’ self-efficacy in ESD; Teachers' attitude toward PD; Professional development; Serial Mediation Analysis
Hybrid model in accounting education: The experience of management simulation course

Due to the COVID-19 pandemic and its effects on education, he transformation of didactics and technological methods was necessary to promote students’ self-learning and motivation, alongside teachers’ tutoring, guiding students’ academic journey. This paper aims to investigate the effect of COVID-19 on digitalization accounting in higher education and explores the students’ perception of the adapted hybrid model. The study follows a qualitative approach and rely on the final-year students of the accounting and management degree of Accounting and Business of Porto Polytechnic School. Data were collected through a questionnaire from students who experienced both distance and face-to-face education and completed the course of Management Simulation. The study highlights the digitalization of accounting teaching and the pandemic’s effect on the future of digital accounting education. In sum, the hybrid model meets the needs of this practical course and can be a model to be applied in the future. Keywords: Accountant; Digitalization Accounting Education; Digital Hybrid Pedagogy; Digital Education; Human Skills.
Modelling And Manufacturing GaSb TPV Converters

A complete model for GaSb TPV converters considering multiple real conditions (spectra, temperature, ARC, size, number and characteristics of grid fingers, size of busbar, etc.) is presented. The model has been applied to GaSb TPV converters fabricated in our laboratory by single zinc diffusion. The agreement between theory and experiments is very good. Future guides of performance improvement like the passivation of the surface together with the correspondent structure optimisation and the achievement of a better GaSb quality available more widespread are suggested.
Preconditioner Circuit Analysis

Abstract : Voltages up to 10,000 volts or higher must be attenuated and measured to provide control feedback for many applications like medium voltage generators or pulsed power systems. How these medium voltage signals can be conditioned so that they can be input to analog control circuits or analog-to-digital converters is the focus of this thesis. A preconditioner circuit takes as input a medium voltage signal and outputs a low voltage conditioned signal to an analog-to-digital converter. Each of the components of the preconditioner circuit, a voltage divider and an averaging circuit designed with an operational amplifier, contributes to the signal conditioning. The theoretical computations, simulations of the circuit, and experimental data were analyzed for congruence. The 3 dB bandwidth of the experiment's frequency response was significantly reduced compared to that of the simulation's frequency response because of parasitic capacitances in the circuit board.
A Narrative Policy Framework Solution to Understanding Climate Change Framing Research

The climate change framing literature is vast. So much so that researchers—whether seasoned framing scholars or those foraying into climate change framing research for the first time—can easily be overwhelmed by the sheer volume of studies, the vast array of concepts deployed, the variation in how these same concepts are operationalized, the nuance of a barely numerable assortment of contexts, and the effects all of the aforementioned have on interpreting findings. Here we offer a synthetic review of said literature, focusing on adaptation and mitigation framing studies and findings. In so doing, we first briefly distill the overall developmental arc of climate change framing research. We then provide a conventionally styled thematic overview of the mitigation and adaptation climate change studies. Among other conclusions, we find that while there has been a proliferation of climate change framing research, the findings and the studies themselves are often quite disparate from one another. Moreover, as the literature speaks to itself intermittently and in an ad hoc fashion, it is not readily apparent how climate change framing studies holistically fit together. As a solution to this problem, we offer the Narrative Policy Framework (NPF) as a narrative heuristic to help climate change researchers and communicators organize and understand the literature. We argue that an NPF integration of this inherently unwieldy literature increases the likelihood of research utilization and improves the ability of climate change communicators to inform people about the risks of climate change.
Multi-User Dynamic Searchable Symmetric Encryption With Corrupted Participants

We study the problem of multi-user dynamic searchable symmetric encryption (DMUSSE) where a data owner stores its encrypted documents on an untrusted remote server and wishes to selectively allow multiple users to access them by issuing keyword search queries. Specifically, we consider the case where some of the users may be corrupted and <italic>colluding with the server</italic> to extract additional information about the dataset (beyond what they have access to). We provide the first formal security definition for the dynamic setting as well as forward and backward privacy definitions. We then propose <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math><alternatives><mml:math><mml:mi>μ</mml:mi></mml:math><inline-graphic xlink:href="gharehchamani-ieq1-3127546.gif"/></alternatives></inline-formula><sc>SE</sc>, the first provably secure DMUSSE scheme and instantiate it in two versions, one based on oblivious data structures and one based on update queues, with different performance trade-offs. Furthermore, we extend <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math><alternatives><mml:math><mml:mi>μ</mml:mi></mml:math><inline-graphic xlink:href="gharehchamani-ieq2-3127546.gif"/></alternatives></inline-formula><sc>SE</sc> to support verifiability of results. To achieve this, users need a secure digest initially computed by the data owner and changed after every update. We efficiently accommodate this, without relying on a trusted third party, by adopting a blockchain-based approach for the digests’ dissemination and deploy our schemes over the permissioned Hyperledger Fabric blockchain. We prototype both versions and experimentally evaluate their practical performance, both as stand-alone systems and running on top of Hyperledger Fabric.