Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconstructive Surgery & Anaplastology

Fat autotransplants are one of the more frequently used treatments in Plastic Surgery nowadays, such in reconstructive surgery to augment the soft tissue defects of malformated and deformated faces after surgical operations, traumatisms and tumors; as in aesthetic surgery to fill and disimulate the wrinkles and grooves of the aging faces in order to get a younger aspect.
BRDF importance sampling for polygonal lights

With the advent of real-time ray tracing, there is an increasing interest in GPU-friendly importance sampling techniques. We present such methods to sample convex polygonal lights approximately proportional to diffuse and specular BRDFs times the cosine term. For diffuse surfaces, we sample the polygons proportional to projected solid angle. Our algorithm partitions the polygon suitably and employs inverse function sampling for each part. Inversion of the distribution function is challenging. Using algebraic geometry, we develop a special iterative procedure and an initialization scheme. Together, they achieve high accuracy in all possible situations with only two iterations. Our implementation is numerically stable and fast. For specular BRDFs, this method enables us to sample the polygon proportional to a linearly transformed cosine. We combine these diffuse and specular sampling strategies through novel variants of optimal multiple importance sampling. Our techniques render direct lighting from Lambertian polygonal lights with almost no variance outside of penumbrae and support shadows and textured emission. Additionally, we propose an algorithm for solid angle sampling of polygons. It is faster and more stable than existing methods.
From Logic to Gates: A Versatile Mapping Approach to Restructure Logic

—This paper proposes a versatile mapping approach for restructuring logic that has two objectives: i) it can map from one technology-independent graph representation to another; ii) it can map to a cell library. Our mapping approach for (i) uses a database of structures obtained using exact synthesis to map into a graph representation. Depending on the database, arbitrary 2 -input and 3 -input graph representations are supported (e.g. AIGs, XAGs, MIGs, etc.). The method is cut-based and uses Boolean matching to assign each cut to the available structures in the database before mapping. Consequently, the mapper is size-and depth-aware with respect to the ﬁnal representation. Moreover, this process helps to mitigate logic sharing issues of LUT-based mapping approaches. The mapper supports delay-and area-oriented mapping for a global optimization objective. In the experiments, we show that our approach enables an average reduction up to 27 . 10 % and 40 . 07 % in size and depth respectively when mapping for size reduction from AIGs to MIGs in the EPFL benchmark suite. We then show that our approach leads to better results when used for logic restructuring reducing the average size by 10 . 24 % and 14 . 63 % more compared to LUT-based rewriting and cut rewriting methods. Finally, we map to a standard cell library and compare it to ABC showing an average improvement of 1 . 75 %, 0 . 10 %, and 18 % in area, delay, and total run-time respectively.
Complete Genome Sequence of the Fenitrothion-Degrading <named-content content-type='genus-species' xlink:type='simple'>Burkholderia</named-content> sp. Strain YI23

Department of Agricultural Biotechnology, Seoul National University, Seoul, Republic of Koreaa; National Instrumentation Center for Environmental Management, Seoul National University, Seoul, Republic of Koreab; Clean Energy Research Center, Korea Institute of Science and Technology, Seoul, Republic of Koreac; and Department of Molecular and Environmental Bioscience, Graduate School, Hanyang University, Seoul, Republic of Koread
DNA methylation changes in glial cells of the normal-appearing white matter in Multiple Sclerosis patients

ABSTRACT Multiple Sclerosis (MS), the leading cause of non-traumatic neurological disability in young adults, is a chronic inflammatory and neurodegenerative disease of the central nervous system (CNS). Due to the poor accessibility to the target organ, CNS-confined processes underpinning the later progressive form of MS remain elusive thereby limiting treatment options. We aimed to examine DNA methylation, a stable epigenetic mark of genome activity, in glial cells to capture relevant molecular changes underlying MS neuropathology. We profiled DNA methylation in nuclei of non-neuronal cells, isolated from 38 post-mortem normal-appearing white matter (NAWM) specimens of MS patients (n = 8) in comparison to white matter of control individuals (n = 14), using Infinium MethylationEPIC BeadChip. We identified 1,226 significant (genome-wide adjusted P-value < 0.05) differentially methylated positions (DMPs) between MS patients and controls. Functional annotation of the altered DMP-genes uncovered alterations of processes related to cellular motility, cytoskeleton dynamics, metabolic processes, synaptic support, neuroinflammation and signaling, such as Wnt and TGF-β pathways. A fraction of the affected genes displayed transcriptional differences in the brain of MS patients, as reported by publically available transcriptomic data. Cell type-restricted annotation of DMP-genes attributed alterations of cytoskeleton rearrangement and extracellular matrix remodelling to all glial cell types, while some processes, including ion transport, Wnt/TGF-β signaling and immune processes were more specifically linked to oligodendrocytes, astrocytes and microglial cells, respectively. Our findings strongly suggest that NAWM glial cells are highly altered, even in the absence of lesional insult, collectively exhibiting a multicellular reaction in response to diffuse inflammation.
Wall-Wall boundary detection

Recently, there has been growing interest in developing learning-based methods to detect global structures for 3D scene modeling and understanding. As a student, practice is a good opportunity to learn and understand technological development. It is a key step for 3D scene reconstruction to accurately extract room structure lines. The purpose of this exercise is to extract the wall boundary in panoramic room images. For learning purposes, three different methods have been tried: basic image processing, computer vision image processing and image processing with deep learning . The three are a progressive relationship with each other. A pre-trained model [9] is used in deep learning image processing, and in the end the boundary line between the wall is accurately identified.
An Effective Encr yption Algor ithm for 3D Pr inting Model Based on Discr ete Cosine Tr ansfor m

In this paper, we present an effective encryption algorithm for 3D printing models in the frequency domain of discrete cosine transform to prevent illegal copying, access in the secured storage and transmission. Facet data of 3D printing model is extracted to construct a three by three matrix that is then transformed to the frequency domain of discrete cosine transform. The proposed algorithm is based on encrypting the DC coefficients of matrixes of facets in the frequency domain of discrete cosine transform in order to generate the encrypted 3D printing model. Experimental results verified that the proposed algorithm is very effective for 3D printing models. The entire 3D printing model is altered after the encryption process. The proposed algorithm is provide a better method and more security than previous methods.
International Journal of Management Sciences and Business Research, Jan-2021 ISSN (2226-8235) Vol-10, Issue 1

The objective of the study is to identify factors that affect the professional skepticism (PS) of auditors in Vietnamese auditing firms. Research using mixed research methods. Using PLS-SEM analysis technique to test hypotheses with support from software SPSS 23.0 and SmartPLS 3.2. 8. The model with data from 318 practicing technicians shows that PS is directly affected by 07 factors belonging to 3 groups, including the group of auditor factors: auditor capacity, professional ethics, personal motivation; Group of factors of audit firms: influence of superiors, pressure of time; customer factor: relationship with customers; External factors: liability. The results show that 4 factors including auditor capacity, professional ethics, personal motivation, and superior influence have positive effects on PS.
Towards the Development of a Brain Semi-controlled Wheelchair for Navigation in Indoor Environments

Several technological advancements emerged providing the technical assistance supporting people with special needs in tackling their everyday tasks. Particularly, with the advancements in cost-effective Brain-Computer Interfaces (BCI), they can be very useful for people with disabilities to improve their quality of life. This paper investigates the usability of low-cost BCI for navigation in an indoor environment, which is considered one of the daily challenges facing individuals with mobility impairment. A software framework is proposed to control a wheelchair using three modes of operations: brain-controlled, autonomous and semi-autonomous, taking into consideration the usability and safety requirements. A prototype system based on the proposed framework was developed. The system can detect an obstacle in the front, right and left sides of the wheelchair and can stop the movement automatically to avoid collation. The usability evaluation of the proposed system, in terms of effectiveness, efficiency and satisfaction, shows that it can be very helpful in the daily life of the mobility impaired people. An experiment was conducted to assess the usability of the proposed framework using the prototype system. Subjects steered the wheelchair using the three different operation modes effectively by controlling the direction of motion.
Challences Facing Tutors in the Teaching of Visual Arts Education in National Teacher Colleges in Uganda

The study examined the challenges faced by tutors in the teaching of the visual arts education (VAE) in national teachers’ colleges (NTCs) in Uganda. The study adopted a qualitative approach where tutors’ and pre-service visual arts teachers’ (PVATs) views about the challenges facing them in the teaching and learning in visual arts were expressed. Data were collected from two pur­posively selected NTCs, and ten tutors. Yet, the 48 second year PVATs who participated in this study, were randomly selected from the many who were available. The researchers used interviews, document reviews and focus group discussions to collect data. The findings show that the challenges facing tutors in the teaching of visual arts have a great impact on what PVATs learn. Some visual art disciplines have too much content to be covered within a short period of two years. There is a general lack of teaching resources, such as art materials, tools and equipment, textbooks, and inadequate teaching space. The researchers recommended the reduction of the content of some visual art disciplines to fit the available time; provide art materials, tools and equipment as well as adequate teaching space which would allow the use of more appropriate teaching methods which would avail tutors with the opportunity to perform to their expectations in visual arts teaching.
The Interest of Circulating DNA in the Management of Infertility, Especially in Men

The use of extracellular or circulating nucleic acids (cfDNA), as a diagnostic or prognostic tool in oncology, has been widely documented. However, their use in gynecology and obstetrics as non-invasive biomarkers in the management of infertility has become recurrent. Circulating nucleic acids are made up of: free DNA which can be a long or short strand of DNA resulting from apoptotic or necrotic processes, free RNA containing it: micro-RNAs (miRNA) which are ribonucleic acids (RNA) short single-stranded capable of inhibiting the production of proteins from a gene, Piwi interacting RNAs (piRNAs) which are small RNAs expressed in germ cells or even in early embryos, and small RNAs interfering (siRNA) which are small RNAs capable of binding specifically to a messenger RNA sequence and of preventing gene expression by cleaving that RNA. The presence of circulating nucleic acids in many biological fluids such as urine, seminal plasma and serum, the fact that they are easy to detect, the variation in their level depending on the pathophysiological conditions of the body and their involvement in many biological processes such as folliculogenesis, steroidogenesis and spermatogenesis make circulating nucleic acids important and interesting biomarkers for the management of male infertility. They constitute a real complementary aid for the practitioners of medically assisted procreation. Therefore, circulating nucleic acids are a promising avenue in the prevention of implantation failures. In this article we will seek to further assert their importance in the management of male infertility, highlighting their different uses.
Examining the Sports Tourism Infrastructure in Two Major Cities of Northern Cyprus

This paper provides the results of a study into the sport facilities, amenities and environmental conditions that exist in Kyrenia and Famagusta in Northern Cyprus. Questionnaires were completed by respondents to obtain their views on the potential that their city has for the development of sports tourism. It was discovered in both Kyrenia and Famagusta that improving sports facilities and amenities can generate business activities, reinvigorate sport in the community, create new jobs, increase a sense of belonging and enhance their image. The findings show that both cities are better equipped to facilitate outdoor adventure sports and festivals. Respondents explained that efforts to increase sports tourism needs to be an ongoing process. It is argued throughout the paper that each city forms a sport tourism project team that is committed to improving the overall sports tourism experience. It is anticipated that the findings of this study will augment the formation of a knowledge base that can contribute towards strengthening the tourism infrastructure of Kyrenia and Famagusta.
Evaluation of Using LaNi0.6Fe0.4O3–δ Contact Layer Between La0.6Sr0.4FeO3 Cathode and Crofer22APU Interconnect for Solid Oxide Fuel Cells

Interconnect‐cathode interfacial adhesion is important for the durability of solid oxide fuel cell (SOFC). Thus, the use of a conductive contact layer between interconnect and cathode could reduce the cell area specific resistance (ASR). The use of La0.6Sr0. 4FeO3 (LSF) cathode, LaNi0.6Fe0. 4O3–δ (LNF) contact layer and Crofer22APU interconnect was proposed as an alternative cathode side. LNF‐LSF powder mixtures were heated at 800 °C for 1,000 h and at 1,050 °C for 2 h and analyzed by X‐Ray power diffraction (XRD). The results indicated a low reactivity between the materials. The degradation occurring between the components of the half‐cell (LSF/LNF/Crofer22APU) was studied. XRD results indicated the formation of secondary phases, mainly: SrCrO4, A(B, Cr)O3 (A = La, Sr; B = Ni, Fe) and SrFe12O19. Scanning electron microscopy with energy dispersive X‐Ray spectroscopy (SEM‐EDX) and the X‐Ray photoelectron spectroscopy (XPS) analyzes confirmed the interaction between LSF/LNF and the metallic interconnect due to the Cr vaporization/migration. An increment of the resistance of ∼0.007 Ω cm2 in 1,000 h is observed for (LSF/LNF/Crofer22APU) sample. However, the ASR values of the cell without contact coating, (LSF/Crofer22APU), were higher (0.31(1) Ω cm2) than those of the system with LNF coated interconnect (0.054(7) Ω cm2), which makes the proposed materials combination interesting for SOFC.
How do natural changes in flow magnitude affect fish abundance and diversity in temperate regions? A systematic review protocol

1. Natural flow regimes play important roles in maintaining the ecological integrity and diversity of aquatic ecosystems. Wildlife and effect modifiers. A narrative synthesis will describe the quantity and characteristics of the available evidence, and where sufficient numbers of similar studies are available, a meta-analysis will be conducted to estimate an overall mean and vari-ance of effect.
A Joint Training Framework for Open-World Knowledge Graph Embeddings

Knowledge Graphs(KGs) represent factual information as graphs of entities connected by relations. Knowledge graph embeddings have emerged as a popular approach to encode this information for various downstream tasks like natural language inference, question answering and dialogue generation. As knowledge bases expand, we are presented with newer (open-world) entities, often with textual descriptions. We require techniques to embed new entities as they arrive using the textual information at hand. This task of open-world KG completion has received some attention in recent years. However, we ﬁnd that existing approaches suﬀer from one or more of four drawbacks – 1) They are not modular with respect to the choice of the KG embedding model 2) They ignore best practices for aligning two embedding spaces 3) They do not account for diﬀerences in training strategy needed when presented with datasets with diﬀerent description sizes and 4) They do not produce entity embeddings for use by downstream tasks. To address these problems, we propose FOlK ( F ramework for O pen-Wor l d K G embeddings) - a technique that jointly learns embed-dings for KG entities from descriptions and KG structure for open-world knowledge graph completion. Additionally, we modify existing data sources and make available YAGO3-10-Open and WN18RR-Open two datasets that are well suited for demonstrating the eﬃcacy of open-world KG completion approaches. Finally, we empirically demonstrate the eﬀec-tiveness of our model in improving upon state-of-the-art baselines on several tasks resulting in performance increases of up to 72% on mean reciprocal rank.
CAMBRIDGE WORKING PAPERS IN ECONOMICS Market segmentation through information

An information designer has precise information about consumers' preferences over products sold by oligopolists. The designer chooses what information to reveal to differentiated firms who, then, compete on price by making personalized offers. We ask what market outcomes the designer can achieve. The information designer is a metaphor for an internet platform who collects data about users and sells it to firms who can, in turn, target discounts and promotions towards different consumers. Our analysis provides new benchmarks demonstrating the power that users' data can endow internet platforms with. These benchmarks speak directly to current regulatory debates. Reference Details CWPE 2105 Published 14 January 2021 Updated 13 December 2021
The effects of perceived discrimination, social support and ethnic identity on mental health of immigrant adolescents

Abstract Background: The number of immigrants has been increasing. Immigrant adolescents experience an acculturation process that affects particularly their ethnic identity, perceived discrimination, and relationships with their peers, which would have significant impact on their mental health. The ethnic composition of social environments might affect this relationship. Objective: The main purpose of the current research is to examine the effect of peer attachment, social support, ethnic identity, and perceived discrimination on immigrant adolescents’ mental health. Method: The sample included 226 Syrian immigrants (X̄ age = 13.31, SD=1.67, 70.8 % girls). Adolescents live in a homogenous social environment where proportion of Syrian is higher. Two hierarchical regression models were used to predict depression and emotional problems. In both models, the predictive roles of social and psychological factors were examined in separate steps. Results: The regression analysis results for depression emphasized peer attachment, social support, and ethnic identity did not affect the depression after controlling the effect of emotional problems. Similarly, regression analysis results for emotional problems showed that peer attachment, social support, and ethnic identity did not affect depression after controlling the effect of emotional problems. The results also revealed that perceived discrimination was a risk factor for both depression and emotional problems. Conclusions: The results underlined the importance of psychological variables on immigrant adolescents’ depression. Past research emphasized that ethnic identity and peer support had a buffering effect on mental health. The current study participants were living in a different area where they attended schools for only immigrants. The social environment was totally different from the host culture. These reasons may account for why social support from ethnic peers and ethnic identity development did not emerge as a protective factor in the present study. The results will further be discussed in terms of the importance of interaction between ethnic and host culture.
Drawn to Distraction: Anxiety Impairs Neural Suppression of Known Distractor Features in Visual Search

Abstract When searching for a target, it is possible to suppress the features of a known distractor. This suppression may prevent distractor processing altogether or only after the distractor initially captures attention (i.e., search and destroy). However, suppression may be impaired in individuals with attentional control deficits, such as in high anxiety. In this study (n = 48), we used ERPs to examine the time course of attentional enhancement and suppression when participants were given pretrial information about target or distractor features. Consistent with our hypothesis, we found that individuals with higher levels of anxiety had lower neural measures of suppressing the template-matching distractor, instead showing enhanced processing. These findings indicate that individuals with anxiety are more likely to use a search-and-destroy mechanism of negative templates—highlighting the importance of attentional control abilities in distractor-guided search.
Modifying Wave Function Collapse for more Complex Use in Game Generation and Design

Wave Function Collapse (WFC) is an image-based Procedural Content Generation (PCG) algorithm that uses constraints extracted from an input image to generate a similar, yet novel output. The goal of this thesis is to modify WFC with extra constraints and parameters that would allow a game designer to have more control over the algorithm to produce more varied and specific results. This thesis introduces the field of Procedural Content Generation (of which Wave Function Collapse is a part) and details the WFC algorithm. It then examines past work done in these two topics, along with developments in the field of content generation for the game Super Mario Bros. and developments of heuristics used to analyze PCG content. The thesis next explains the specifics of WFC’s core algorithm, introduces the new modifications made to it, and details heuristics used to analyze its output. Finally, experiments are run using these modifications to generate content using levels from the original Super Mario Bros. as input, and previously introduced heuristics are used to assess the results.
How Close is your Function to Depending on a Small Number of its Inputs?

This thesis focuses on the following question: if we have query access to some f : {− 1 , 1 } n → {− 1 , 1 } (meaning we can query any of its 2 n outputs at will), how many queries do we need to discern whether f is “close” or “far” from depending on only a subset of k of its inputs? Such functions are known in the ﬁeld as “ k -juntas”. The main results come from the recent work of [ITW21], which gave an improved upper bound on the query complexity of this problem. Namely, it was shown that only 2 (cid:101) O ( √ k ) queries to f suﬃce to answer this question. Along the way, we will provide a more detailed and leisurely survey of the other results and progress in this area, examining other techniques and the strongest known upper and lower bounds for variants of this problem.