Miracle-dz/UniFAR-FTUs huggingface dataset:
Cri-du-Chat Syndrome: Revealing a Familial Atypical Deletion in 5p

Introduction: Cri-du-chat syndrome is generally diagnosed when patients present a high-pitched cry at birth, microcephaly, ocular hypertelorism, and prominent nasal bridge. The karyotype is useful to confirm deletions in the short arm of chromosome 5 (5p–) greater than 10 Mb. In cases of smaller deletions, it is necessary to resort to other molecular techniques such as fluorescence in situ hybridization, multiplex ligation-dependent probe amplification (MLPA) or genomic array. Case Presentation: We report a family with an atypical deletion in 5p (mother and 2 children) and variable phenotypes compared with the literature. We applied a P064 MLPA kit to evaluate 5p– in the mother and the 2 children, and we used the Infinium CytoSNP-850K BeadChip genomic array to evaluate the siblings, an 11-year-old boy and a 13-year-old girl, to better define the 5p breakpoints. Both children presented a high-pitched cry at birth, but they did not present any of the typical physical features of 5p– syndrome. The MLPA technique with 5 probes for the 5p region revealed that the patients and their mother presented an atypical deletion with only 4 probes deleted (TERT_ex2, TERT_ex13, CLPTM1L, and IRX4). The genomic array performed in the siblings’ samples revealed a 6.2-Mb terminal deletion in 5p15.33p15. 32, which was likely inherited from their mother, who presented similar molecular features, seen in MLPA. Discussion: The sparing of the CTNND2 gene, which is associated with cerebral development, in both siblings may explain why these 2 patients had features such as better communication skills which most patients with larger 5p deletions usually do not present. In addition, both patients had smaller deletions than those found in patients with a typical 5p– phenotype. This report demonstrates the utility of genomic arrays as a diagnostic tool to better characterize atypical deletions in known syndromes such as 5p– syndrome, which will allow a better understanding of the genotype-phenotype correlations.
An automated system for detecting systematic defect in memory cell array

As the technology node shrinks, the systematic defects such as the missing and extra pattern are generated in the process of cell patterning. The defect such as the extra and missing pattern can lead to a critical failure on device. Subsequently, the systematic defect in the UBE could be an etch-gas path on proceeding the etch process and cause the quality degradation of device. In this paper, we propose an automated system to inspect the systematic defect in the cell array with the scanning electron microscope (SEM) image and the physical design. The method consists of conversion, matching, and detection. In the conversion method, the SEM image is converted into the layout using image processing such as noise reduction, segmentation and contour tracing. In the following matching method, gradient descent optimization is used to match the coordinate of layout converted from the SEM image with the coordinate of physical design. In the final detection method, the defect is detected by inspecting the patterns of two layouts. On the test of 2,500 data, we confirmed that the accuracy improved from 97% to 100% as a result of comparing the engineer's visual inspection method with the proposed method. In addition, the turnaround time (TAT) is improved by approximately 40 times. The proposed system is currently applied to DRAM products and used for the field of design for manufacturing (DFM) and manufacturing process.
Gradiency vs. categoricity: How French speakers perceive accentual information in their native language?

Previous works have suggested that French speakers have difficulties to process accentual information at an abstract level of processing when they are confronted to lexical stress found in languages such as English or Spanish. However, the way they process accentual information in their own language (a language without lexical stress) deserves further investigation. In this experiment, we address the issue of the nature of the perception of native accentual information by French speakers in a categorical perception paradigm. French speakers had to identify lexical sequences on an acoustic continuum ranging from an unaccented first syllable [depl a 'se ] ‘moved’ to an accented first syllable [ 'de ] [pl a 'se ] ‘a dice placed’. Results showed that, when tested on an acoustic continuum, French speakers perceive accentual information in a gradual manner. These results corroborate previous studies on the perception of non-native stress patterns by French speakers showing that, in simple perception tasks, their perception of accentual information is acoustically-based and not categorical.
Twin-width: theory and applications

Partner Name First Current Role and Involname Position responsibilities vement LIP, MC2 BONNET Édouard CR Coordinator 36p·month LIP, MC2 CHAKRABORTY Dibyayan postdoc (É. B.) 12p·month LIP, MC2 DÉPRÉS Hugues PhD student (É. B.) 32p·month LIP, MC2 GENIET Colin PhD student (S. T.) 32p·month LIP, MC2 THOMASSÉ Stéphan PR 24p·month LIP, MC2 WATRIGANT Rémi MCF 18p·month LIP, MC2 ? 1 or 2 postdocs 24p·month LAMSADE KIM Eunjung CR 7p·month G-SCOP ESPERET Louis CR 10p·month G-SCOP GIOCANTI Ugo PhD student (L. E. & S. T.) 14p·month
Ga doping induced structural and optical modiﬁcation in Ge 2 Sb 2 Te 5 thin ﬁlms

Ge 2 Sb 2 Te 5 (GST) is considered a promising candidate for next-generation data storage devices due to its unique property of non-volatility and low power consumption. In present work, the bulk alloys and thin ﬁlms of (Ge 2 Sb 2 Te 5 ) 100 (cid:2) x Ga x ( x = 0, 3, and 10) are prepared using melt quenching and thermal deposition method, respectively. The effect of Ga doping on host composition is investigated by analyzing X-ray diffraction patterns and ﬁeld emission scanning electron microscope images. From obtained results, it is found that all doped thin ﬁlms retained the amorphous nature and exhibited uniform and smooth morphology. In Raman spectra, the appearance of a new peak in 10% Ga-doped GST thin ﬁlm indicated an alteration in the atomic arrangement of host lattice. Transmission spectra revealed the highly transparent nature of all deposited thin ﬁlms in the near-infrared region. The optical band gap of Ga-doped GST thin ﬁlm is lower than that of the pure GST thin ﬁlm which can be correlated with an increase in band tailing, attributed to an increase in localized defect states in the band gap. Due to the pronounced electronegativity difference between the Ga and Te element, new Ga–Te bonds with a higher number of wrong bonds (Ge–Ge, Sb–Sb, and Ge–Sb) are expected to thermally stabilize the amorphous phase. Such results predict the better performance of Ga-doped GST composition for better performance of phase-change random access memory.
Issues associated with sound exposure experiments in tanks

For practical reasons it is often necessary to carry out sound exposure experiments on marine animals in tanks or pools that may have dimensions ranging from less than one meter to a few tens of meters. The boundaries of such tanks are almost invariably highly reflective to underwater sound, resulting in a sound field that can vary spatially in unexpected ways, and in which the relationship between pressure and particle velocity is quite different from that in an animal’s natural environment. In this paper a numerical simulation based on the finite difference method is used to illustrate these effects. The results show that, at frequencies below the tank’s lowest resonant frequency, the particle velocity and pressure fields vary smoothly in space and with changes in frequency, but that both the ratio of the particle velocity to the pressure and the way in which their amplitudes vary with distance from the source are different than in a free-field situation. At frequencies above the lowest resonant frequen.
Title: Lightweight Graph Neural Networks for Image and Action Recognition

[29], [30] aims at removing groups of connections, channels or entire sub-networks. Whereas structured pruning may reach high speed-up on dedicated hardware resources, its downside resides in the rigidity of the class of learnable lightweight networks. On another side, unstructured pruning is more flexible, but may result into topologically inconsistent sub-networks (i.e., either partially or completely disconnected), and this may lead to limited generalization especially at very high pruning rates. The goal of this thesis subject, is to devise novel approaches for very lightweight GCN design that gathers the advantage of both structured and unstructured pruning, and discards their inconvenient; i.e., the proposed methods should impose constraints on the structure of the learned sub-networks (namely their topological consistency) while also ensuring their flexibility at some extent. The proposed solutions may consider network connections using different criteria (highest magnitudes, connectivity and predefined topologies, etc.) while guaranteeing their accessibility (i.e., their reachability from neural network inputs) and their co-accessibility (i.e., their actual contribution in the evaluation of neural network outputs) [31]. Hence, only topologically consistent sub-networks should be considered when selecting network connections. Applications include image classification and human action recognition in large video collections. We consider both raw videos and already extracted skeleton data described with graphs, where nodes correspond to human joints, and edges to their spatial and temporal relationships.
Distribution of Treatments by Age of Patients at an Academic Dental Center

Objective To identify the most common dental treatments in each age group at the University of Michigan School of Dentistry by evaluating electronic health record data at the University of Michigan School of Dentistry clinics. Methods All American Dental Association Code on Dental Procedures and Nomenclature data were extracted from the electronic health record at the University of Michigan School of Dentistry for the period 2014-2020. Results Comprehensive oral examination (D0150) and periodic oral evaluation (D0120) were the most common procedures for age bracket 0-9 years at 1,497 and 1,786 per 10,000 patients respectively. Ages 30-39 experienced a surge in extractions (D7140) (4,680 extractions per 10,000 patients). In age 50-59, adult prophylaxis (D1110) is highest with 9,124 per 10,000 patients Conclusions With proper care and treatment at every stage of life, teeth can stay healthy and strong for a lifetime.
Mistrust Plugins You Must: A Large-Scale Study Of Malicious Plugins In WordPress Marketplaces

Modern websites owe most of their aesthetics and functionalities to Content Management Systems (CMS) plugins, which are bought and sold on widely popular marketplaces. Driven by economic incentives, attackers abuse the trust in this economy: selling malware on legitimate marketplaces, pirating popular plugins, and infecting plugins post-deployment. This research studied the evolution of CMS plugins in over 400K production webservers dating back to 2012. We developed YODA , an automated framework to detect malicious plugins and track down their origin. YODA uncovered 47,337 malicious plugins on 24,931 unique websites. Among these, $41.5K had been spent on 3,685 malicious plugins sold on legitimate plugin marketplaces. Pirated plugins cheated developers out of $228K in revenues. Post-deployment attacks infected $834K worth of previously benign plugins with malware. Lastly, YODA informs our remediation eﬀorts, as over 94% of these malicious plugins are still active today .
Scalable Digital CMOS Comparator using a Parallel Prefix Tree

: Comparators are the key design elements for a wide range of applications like scientific computation (graphics and image/signal processing),test circuit applications (jitter measurements, signature analyzers, and built-in self test circuits) and for general-purpose processor components (associative memories, load-store queue buffers, translation look-aside buffers, branch target buffers) and many other CPU argument comparison blocks . In this project a 16,32,64 bit comparator architectures is designed by using parallel prefix structure . This project evaluates the successful results as per requirement and specifications. In existing system ,the parallel prefix structure is designed for 16 ,32 and 64 bit architectures and the reports from the Xilinx tool concludes that for every bit range doubles the delay , memory , LUT and power has not doubled up to the mark. But In the proposed design of my project, each and every element in the parallel prefix structure will be replaced by universal logic (multiplexer) and the obtained results will be compared with existed design for the same device specifications. By performing this modification in the architecture will leads to reduction in power consumption and in delay parameters.
Video-zilla: An Indexing Layer for Large-Scale Video Analytics

Pervasive deployment of surveillance cameras today poses enormous scalability challenges to video analytics systems operating over many camera feeds. Currently, there are few indexing tools to organize video feeds beyond what is provided by a standard file system. Recent video analytic systems implement application-specific frame profiling and sampling techniques to reduce the number of raw videos processed, leveraging frame-level redundancy or manually labeled spatial-temporal correlation between cameras. This paper presents Video-zilla, a standalone indexing layer between video query systems and a video store to organize video data. We propose a video data unit abstraction, semantic video stream (SVS), based on a notion of distance between objects in the video. SVS implicitly captures scenes, which is missing from current video content characterization and a middle ground between individual frames and an entire camera feed. We then build a hierarchical index that exposes the semantic similarity both within and across camera feeds, such that Video-zilla can quickly cluster video feeds based on their content semantics without manual labeling. We implement and evaluate Video-zilla in three use cases: object identification queries, clustering for training specialized DNNs, and archival services. In all three cases, Video-zilla reduces the time complexity of inter-camera video analytics from linear with the number of cameras to sublinear, and reduces query resource usage by up to 14× compared to using frame-level or spatial-temporal similarity built into existing query systems.
On accumulation of water droplets in piezoelectric energy harvesting

Recent studies have demonstrated that it is feasible to harvest energy from raindrop. A challenge in designing a raindrop energy harvester is the rain droplet would accumulate on the surface of the harvester and affect its performance. In a previous work, we have modelled the dynamics of a piezoelectric beam subjected to water droplet impacts with a water layer formed on the surface. This work presents a theoretical model to describe the transient dynamics during the formation of water layer on the beam. The average water droplet impact force is described by a partially inelastic impact coefficient that varies during the formation of water layer. The maximum root mean square voltage measured experimentally is 0.05 V with an average percentage error of 6.94% compared to the theoretical model. Experimental result revealed that the optimal performance of the harvester occurs before the water layer spreads to the width end of the beam.
GoPose

This paper presents GoPose, a 3D skeleton-based human pose estimation system that uses WiFi devices at home. Our system leverages the WiFi signals reflected off the human body for 3D pose estimation. In contrast to prior systems that need specialized hardware or dedicated sensors, our system does not require a user to wear or carry any sensors and can reuse the WiFi devices that already exist in a home environment for mass adoption. To realize such a system, we leverage the 2D AoA spectrum of the signals reflected from the human body and the deep learning techniques. In particular, the 2D AoA spectrum is proposed to locate different parts of the human body as well as to enable environment-independent pose estimation. Deep learning is incorporated to model the complex relationship between the 2D AoA spectrums and the 3D skeletons of the human body for pose tracking. Our evaluation results show GoPose achieves around 4.7cm of accuracy under various scenarios including tracking unseen activities and under NLoS scenarios.
Towards a Sociological Understanding of Love: Insights from Research

approach which practices? This paper presents the epistemological premises and the oper-ational steps of an original approach to love, the goal thereof is to understand personal and relational love experiences within the framework of historical change and cultural diversity, and to allow for rigorous empirical applica-tion. I discuss the theoretical foundations of this approach, that is the concept of “integrated semantics”, the latter’s empirical emergence form a pilot case-study, and its implementation in an ongoing research project focusing on the Canadian general population.
Mesenchymal Stem Cell-Mediated Restoration of Ventricle Function Stem Cell & Regenerative Medicine

Mesenchymal Stem cells (MSCs) based interventions in heart failure cases have gained significant interest among researchers and clinicians over the last decade. The ease of their isolation, expansion, high proliferation rate and storage has made MSCs an attractive candidate. MSCs transplanted in patients with ischemic heart disease have been demonstrated to play a significant role in cardiac regeneration through plethora of processes including angiogenesis, myogenesis, immune modulation, anti-apoptotic- and anti-fibrotic-activities. In present study, we have discussed a case of a male patient with severe ventricular dysfunction after an incidence of myocardial infarction. The primary clinical findings demonstrated that the patient had dilated left ventricle (LV) with global LV hypokinesia. The LV ejection fraction (LVEF) was 25%-30%, which is significantly lower than a healthy individual. The patient was treated with adipose derived MSCs, injected through intravenous route. A significant recovery was observed post 5 months with LVEF of 35%. After nine months of follow-up, LVEF improved to 50 % with fair LV systolic function. The LV size was normal, and no regional wall motion abnormality was observed. The study suggests that MSCs infusion can help in restoration of ventricular function.
Orthogonal pulse based wideband communication for high speed data transfer in sensor applications

There has been an ever increasing demand and need for high speed and reliable data transfer between a remote transmitter and a receiver station. We have proposed a novel scheme for Ultra Wide Band (UWB) communication technology, to enhance the data rate in single user scenario and to increase the number of sources for simultaneous data transmission in the multi-source scenario. We have proposed to exploit the orthogonal property of Modified Hermite Pulse (MHP) by transmitting the composite pulse (Pulse shape modulation, PSM) instead of transmitting a single orthogonal pulse. With the proposed scheme for data modulation with 4 different orthogonal pulses, the data rate in the single user scenario was increased by 4 folds and in the case of multisource scenario, it supported 12 sources for simultaneous data transmission. With a threshold value of 21 %, the simulated Bit Error Performance (BER) showed no errors for Eb/No value greater than 10 dB. Operational Transconductance Amplifier (OTA) is the building block of the modified Hermite pulse generator circuit. Commercially available OTA would not satisfy the design constraints like low power, high bandwidth, high slew rate etc. In the second part of the research, a custom OTA was designed to
SOLAR-POWERED AIRCRAFT DESIGN

Beginning with the present state-of-the-art in cost-efficient solar technology, optimization of a solar-powered aircraft has shown possibilities of this new technique. The following developments have improved solar-flight technology: high-precision aircraft construction of minimum weight; integration of the solar cells in the upper wing surface without aerodynamic or other losses; high-efficiency drive and propulsion system with variable pitch propeller, automatically controlled to attain maximum photovoltaic power output; a buffer battery of high power output for safe take-off and difficult flight incidents. All these features have already been successfully tested on a model aircraft. A design proposal will be presented involv­ing a high-efficiency solar powered aircraft with 25m wing­ span capable of taking off and climbing up to an altitude of 450m equipped with a buffer battery. Above this altitude, the aircraft is to fly and climb up further (up to 0.45m/sec.) by solar power alone.
An improved Pareto front modeling algorithm for large-scale many-objective optimization

A key idea in many-objective optimization is to approximate the optimal Pareto front using a set of representative non-dominated solutions. The produced solution set should be close to the optimal front (convergence) and well-diversified (diversity). Recent studies have shown that measuring both convergence and diversity depends on the shape (or curvature) of the Pareto front. In recent years, researchers have proposed evolutionary algorithms that model the shape of the non-dominated front to define environmental selection strategies that adapt to the underlying geometry. This paper proposes a novel method for non-dominated front modeling using the Newton-Raphson iterative method for roots finding. Second, we compute the distance (diversity) between each pair of non-dominated solutions using geodesics, which are generalizations of the distance on Riemann manifolds (curved topological spaces). We have introduced an evolutionary algorithm within the Adaptive Geometry Estimation based MOEA (AGE-MOEA) framework, which we called AGE-MOEA-II. Computational experiments with 17 problems from the WFG and SMOP benchmarks show that AGE-MOEA-II outperforms its predecessor AGE-MOEA as well as other state-of-the-art many-objective algorithms, i.e., NSGA-III, MOEA/D, VaEA, and LMEA.
Poster: Style Pooling: Automatic Text Style Obfuscation for Hiding Sensitive Attributes

—Text style can reveal sensitive attributes of the author (e.g. race or age) to the reader, which can, in turn, lead to privacy violations and bias in both human and algorithmic decisions based on text. For example, the style of writing in job applications might reveal protected attributes of the candidate which could lead to bias in hiring decisions, regardless of whether hiring decisions are made algorithmically or by humans. We propose a VAE-based framework that obfuscates stylistic features of human-generated text through style transfer by automatically re-writing the text itself . Our framework operationalizes the notion of obfuscated style in a ﬂexible way that enables two distinct notions of obfuscated style: (1) a minimal notion that effectively intersects the various styles seen in training, and (2) a maximal notion that seeks to obfuscate by adding stylistic features of all sensitive attributes to text, in effect, computing a union of styles. Our style-obfuscation framework can be used for multiple purposes, however, we demonstrate its effectiveness in improving the fairness of downstream classiﬁers. We also conduct a comprehensive study on style pooling’s effect on ﬂuency, semantic consistency, and attribute removal from text, in two and three domain style obfuscation. 1 This paper