Miracle-dz/UniFAR-FTUs huggingface dataset:
Simultaneous Estimation of Facial Landmark and Attributes with Separation Multi-task Networks

Multi-task learning is a machine learning approach in which multiple tasks are solved simultaneously. This approach can improve learning efficiency and prediction accuracy for the task-specific models. Furthermore, it has been used successfully across various applications such as natural language processing and computer vision. Multi-task learning consists of shared layers and task-specific layers. The shared layers extract common low-level features for all tasks, the task-specific layers diverge from the shared layers and extract specific highlevel features for each task. Hence, conventional multi-task learning architecture cannot extract the low-level task-specific feature. In this work, we propose Separation Multi-task Networks, a novel multi-task learning architecture that extracts shared features and task-specific features in various layers. Our proposed method extracts lowto high-level task-specific features by feeding task-specific layers in parallel to each shared layer. Moreover, we employ channel-wise convolution when concatenating feature maps of shared layers and taskspecific layers. This convolution allows concatenation even if layers have a different number of channels of feature maps. In experiments on CelebA dataset, our proposed method outperformed conventional methods at facial landmark detection and facial attribute estimation.
Microleakage Comparison among Three Orthodontic Brackets and Two Orthodontic adhesives

AIMS:To evaluate and compare the microleakage occlusally and gingivally under bracket-composite interface of sapphire ceramic, stainless steel and composite orthodontic brackets bonded with two different generations of orthodontic adhesives.MATERIALS AND METHODS: Seventy-two freshly extracted premolars were utilized in this study. Three types of orthodontic brackets were used as follows: sapphire ceramic, composite and stainless steel. The samples were divided into two main groups of 36 samples; one group was bonded with Resilience® adhesive, while the other was bonded with Biofix adhesive. Each group was further subdivided into three subgroups of 12 samples according to bracket types. After photopolymerization, the samples were thermocycled. Samples were sealed with nail varnish, stained with 2% methylene blue dye then sectioned occlusogingivally, examined under a stereomicroscope and measured for microleakage at the bracket-adhesive interface from both occlusal and gingival margins, evaluated statistically with ttests at p≤0.05 levels of significance. RESULTS: All groups showed various degrees of microleakage, however, no significant differences either between the two adhesives or among the three bracket types were recorded. Microleakage beneath sapphire brackets was significantly higher under the Biofix adhesive at the gingival side.CONCLUSION: No significant differences were recorded between the occlusal and gingival sites in all of the study groups.However, the 5th generation adhesive showed higher microleakage with significant difference under sapphire ceramic brackets at the gingival margin. AlHamidi MM, Al-Khatib AR, Microleakage Comparison among Three Orthodontic Brackets and Two orthodontic adhesives. Al–Rafidain Dent J. 2014; 14(2):312319 . Received: 26/2/2014 Sent to Referees: 10/3/2014 Accepted for Publication: 6/4/2014
Accurate Expressions of Mutual Inductance and Their Calculation of Archimedean Spiral Coils

Considering the helicity of Archimedean spiral coils, this paper proposes accurate expressions of mutual inductance and their numerical calculation methods, which can be applied in the wireless power transmission field, etc. Accurate expressions of mutual inductance are deduced respectively for two coils that are coaxial, laterally misaligned, or non-parallel, and numerical calculations are performed using Gaussian integration as well. In the case of coaxial coils, the calculation results are verified by the 3D finite element method (3D FEM) and compared with the results gained by the traditional method that approximates two spiral coils to two clusters of series-connected circular coils ignoring helicity. The comparison of the three methods shows that results achieved by the proposed expression are close to that of 3D FEM, while there is increasing error with the screw pitches of the coils when using the traditional circular coil approximation method. The influence of relative position on the mutual inductance of the two coils is also studied and it is further explained through magnetic field distribution. Finally, the validity of the proposed expressions of mutual inductance is verified by experimental results.
Gilteritinib for the treatment of patients with FLT3 mutated relapsed or refractory acute myeloid leukemia

ABSTRACT Introduction: FLT3 mutations are identified in 20–30% of acute myeloid leukemia (AML) and are associated with a poor prognosis due to chemotherapy refractory disease and short relapse-free survival. Numerous FLT3 tyrosine kinase inhibitors have been evaluated. The first FLT3 inhibitor approved for therapy of FLT3 mutant relapsed/refractory AML (RR-AML) is gilteritinib. Areas covered: We discuss how gilteritinib represents the next generation of FLT3 tyrosine kinase inhibitors with highly potent and specific activity against FLT3 activating mutations (ITD and TKD) found in AML. We review how gilteritinib differs from prior FLT3 inhibitors, which exhibited broad-spectrum kinase activity but poor in vivo pharmacokinetics, off-target toxicities, and no clinically meaningful single agent responses. We discuss clinical trial results demonstrating the safety and improved clinical activity of gilteritinib over standard chemotherapy in FLT3 mutant RR-AML patients. Lastly, we discuss ongoing trials of gilteritinib with chemotherapy and other targeted approaches. Expert opinion: Gilteritinib represents the next generation of FLT3 inhibitors for AML therapy. Upfront regimens incorporating this agent are likely to become the new standard of care for FLT3 mutant de novo AML, and newer combinations hold promise to further transform the therapeutic landscape for this AML subset in the near future.
Bost-Connes type dynamics and arithmetic of function fields

The work of this thesis falls within two main themes: the analogy between number fields and function fields of an algebraic curve over a finite field; and the recovery of arithmetic information from the Bost-Connes system associated to such global fields. We present a new construction for Bost-Connes systems for function fields based on the ring of S-integers and show that it provides a suitable framework to generalize the work of Takeishi to the function field case and thus recover class numbers. Further, we investigate an analogue of the Deligne-Ribet topological dynamical system that appears in Bost-Connes systems and show that isomorphisms that respect these dynamics are equivalent to arithmetic equivalences of the related global fields.
Interspecific morphological variation among members of the genus Cyprinion Heckel, 1843 (Teleostei: Cyprinidae) in Iran, using landmark-based geometric morphometric technique

Morphological variation among Cyprinion species in Iran was studied using landmark-based geometric morphometrics. A total of 848 specimens were caught from five basins throughout Iran during 2013-2015. A total number of 15 landmark-points were defined and digitized on 2D pictures. Despite of intraspecific differences among Cyprinion fishes, CVA divided all populations into three major groups viz. C. macrostomum , C. kais and C. tenuiradius (group X), C. watsoni and C. microphthalmum (group Y ) and C. milesi (group Z). According to the results, C. macrostomum group can be distinguished from other groups by having deeper body, least head length and depth, the longest dorsal-fin base and least caudal peduncle length. Cyprinion milesi has the longest anal-fin base, least body depth, deepest caudal peduncle and longest head. Cyprinion watsoni has the longest caudal peduncle and least dorsal-fin base and C. microphthalmum is distinguished by having the least caudal peduncle length and depth. The main reasons of observed intraspecies morphological diversity among the fishes is proposed to be some phenotypic plasticity related to climatic and zoogeographical factors. The results suggest that the most possible factor influencing morphological variations among Iranian Cyprinion species is habitat related differences.
Design and Experimental Characterization of a Shoulder-Elbow Exoskeleton With Compliant Joints for Post-Stroke Rehabilitation

This paper presents the design and experimental characterization of a 4-degree-of-freedom shoulder-elbow exoskeleton, NeuroExos Shoulder-elbow Module (NESM), for upper-limb neurorehabilitation and treatment of spasticity. The NESM employs a self-aligning mechanism based on passive rotational joints to smoothly self-align the robot's rotational axes to the user's ones. Compliant yet high-torque series-elastic actuators allow the NESM to safely interact with the user, particularly in response to sudden unpredicted movements, such as those caused by spastic contractions. The NESM control system provides a variety of rehabilitation exercises, enabling the customization of therapy to patients exhibiting a range of movement capabilities. Available exercises include passive mobilization, active-assisted, active-resisted, and active-disturbed training modes. The experimental characterization of two NESM actuation units demonstrated position and torque control performance suitable for use in neurorehabilitation applications, including up to 7 Hz of bandwidth in torque control. An algorithm for online detection of spastic contractions or sudden object collisions has been implemented and tested as well, with results suggesting that the current system can ensure safe interaction with patients.
Levels of Psychological Distress of Canadian University Student-Athletes

The mental health of Canadian university students is fairly well researched, but there is relatively little evidence concerning the mental health of Canadian university student-athletes. Recent research in the United States and Canada has suggested that mental health (e.g., anxiety and depression) differs between student-athletes and student non-athletes. However, the results are ambivalent as to whether student-athletes experience more or less psychological distress than their non-athlete peers. To address this gap, the purpose of the current study was to measure the levels of psychological distress in a national sample of 284 university student-athletes. Each athlete completed the Kessler Psychological Distress Scale (K6; Kessler et al., 2002) via a secure online platform. The average score on the K6 for student-athletes was 8.2 out of 24; 19.8% of the sample surpassed the cut-off for assessing the prevalence of severe mental illness. A regression analysis found that gender, starting status, and scholarship status significantly predicted levels of psychological distress. Females, non-starters, and student-athletes without a scholarship were associated with increases in K6 scores.
Heuristic algorithms for distributed processor scheduling with limited memory

HEURISTIC ALGORITHMS FOR DISTRIBUTED PROCESSOR SCHEDULING WITH LIMITED MEMORY, by Timothy A. Gonsalves. This thesis studies a heuristic approach to scheduling •on a 2-processor distributed system when one processor has a limited memory. A program is assumed to consist of a set of sequentially executing modules and is represented by Stone's graph model. It is desired to assign these modules to the processors so as to minimize interprocessor communication while taking advantage of specific capabili¬ ties of the two processors. This optimization problem is NP-complete. It is shown that the corresponding 'abso¬ lute approximation' problem is as hard. For the classes of constant degree and constant connectivity graphs statistics are presented to support the conjecture of Rao, Stone and Hu that use of the 'inclusive-cuts graph' can appreciably simplify this scheduling problem. Asymptotic upper and lower bounds on the expected cost of the optimum assignment are derived for the class of constant degree graphs. These results motivate the development and assist the evaluation of two polynomial-time heuristic algorithms for 2-processor scheduling with limited memory. For constant degree graphs it is shown that the heuristics can be use¬ ful scheduling tools. It is also shown that use of the inclusive-cuts graph can lead to an improvement in perform¬ ance, but at the expense of additional scheduling overhead. An ancillary result proved is a relationship between scheduling with limited memory and scheduling when one processor is multiprogrammed and has a variable load factor. Some implications of this relationship are discussed.
Hydraulic Fracture Stimulated Zone Analysis With a FEM Upscaled Model

The development of a stimulated volume during hydraulic fracturing in a naturally fractured rock mass is singularly challenging to simulate mathematically. At the discrete level there are strong fabric issues (oriented joint sets, perhaps faults, and weak bedding planes), different joint properties, Biot coupling, advective-conductive heat transfer, and flow in joint arrays with changing apertures. Complex discrete interaction laws for joints involve sliding Mohr-Coulomb friction with joint dilation (i.e. aperture increase), cohesion loss related to sliding and to extensional displacements across joints, strongly non-linear block contact stiffness behavior that deviates from Hertzian behavior, and loss of contacts during hydraulic fracturing when some natural fractures become non-contacting. Furthermore, the rock blocks delineated by the joints in the stimulated volume possess anisotropic properties, and large-scale heterogeneity also exists. A novel upscaled HF model for stimulated volume simulation of a naturally fractured rock has been developed using a typical Galerkin Finite Element Method approach with full Biot coupling, but using a non-local plasticity formulation with dilation to track the evolution of bulk stiffness and fluid transmission properties. First, the evolution of the stimulated volume is quantified for an example of a 3D hydraulic fracturing propagation in the naturally fractured rock. After creation of a sufficiently large stimulated volume the well is shut-in and pressure is allowed to fall-off. We use the pressure decline analysis to relate the post shut-in behavior of the stimulated volume to the geomechanics of fracturing. Preliminary results are promising: we will show interesting results that show this approach may be highly useful in analyzing hydraulic fracturing data and incorporating damage mechanics approaches into design in geomaterials.
Types of metaphors and mechanisms of comprehension

Abstract Describing the processes of metaphor comprehension has been a hot topic of discussion among researchers throughout the past four decades. One of the major challenges has been to find a mechanism that can describe the processes involved in the comprehension of various kinds of metaphors. This article suggests that different types of metaphors could be understood through rather different mechanisms. To demonstrate this point, two different groups of metaphors are discussed. The first group includes those metaphors that are used to describe highly abstract concepts. In many cases, these abstract concepts are understood in terms of motion or non-motion events in the three-dimensional space. The second group includes those metaphors which are used to describe concepts with a higher degree of concreteness. In many cases, these metaphors are understood by attributing a salient feature of a metaphorical category to the topic of the metaphor. Because of their nature, the first group of metaphors can be understood in terms of a set of elements in a three-dimensional space. This can be done by the mapping of relations in the source domain into relations in the target domain. Therefore, this group of metaphors is understood through a more complex type of processing. However, degree of complexity of metaphor processing could be dependent on a range of factors, including the number of elements that are involved in the source and target domain, the nature of relations among elements in the source and target domains, degree of abstractness of the concept that is described by the metaphor, and semantic features of source and target domains.
Analisis Pengaruh Kualitas Website Terhadap Sistem Informasi Akademik Berbasis Web Menggunakan Technology Acceptance Model (Studi Kasus di Program Studi Teknik Informatika Universitas Suryakancana)

Penelitian dilakukan menggunakan theory acceptance model (TAM) dan kualitas website sebagai variabel eksternal terhadap penggunaan sistem informasi akademik berbasis web di Program Studi Teknik Informatika Fakultas Teknik Universitas Suryakancana Cianjur. Model awal yang diusulkan terdiri dari tujuh konstruk dan 33 indikator. Konstruk-konstruk yang yang digunakan yaitu terdiri dari variabel-variabel endogen yaitu persepsi kegunaan, persepsi kemudahan, sikap menggunakan, niat menggunakan, dan penggunaan secara aktual . Sedangkan kualitas sistem dan kualitas informasi dari sistem menjadi variabel-variabel eksogen. Hipotesis untuk menguji hubungan yang terjadi sebanyak 10 hipotesis. Hasil pengolahan data dengan SEM (structural equation modeling) menghasilkan bahwa semua indikator dapat menjelaskan konstruk dan dari 10 hipotesis yang diajukan, terdapat 8 hubungan yang signifikan dan positif yaitu persepsi kegunaan dipengaruhi oleh persepsi kemudahan (0,398) dan kualitas informasi (0,301) , persepsi kemudahan dipengaruhi oleh kualitas sistem (0,692), sikap menggunakan dipengaruhi oleh persepsi kegunaan (0,399) dan persepsi kemudahan (0,233), niat menggunakan dipengaruhi oleh sikap (0,119) dan persepsi kegunaan (0,186) ,sedangkan penggunaan aktual dipengaruhi oleh niat menggunakan (1,103).
Over 30% External Quantum Efficiency Light‐Emitting Diodes by Engineering Quantum Dot‐Assisted Energy Level Match for Hole Transport Layer

In the study of hybrid quantum dot light‐emitting diodes (QLEDs), even for state‐of‐the‐art achievement, there still exists a long‐standing charge balance problem, i.e., sufficient electron injection versus inefficient hole injection due to the large valence band offset of quantum dots (QDs) with respect to the adjacent carrier transport layer. Here the dedicated design and synthesis of high luminescence Zn1−x CdxSe/ZnSe/ZnS QDs is reported by precisely controlled shell growth, which have matched energy level with the adjacent hole transport layer in QLEDs. As emitters, such Zn1−xCdxSe‐ based QLEDs exhibit peak external quantum efficiencies (EQE) of up to 30.9%, maximum brightness of over 334 000 cd m−2, very low efficiency roll‐off at high current density (EQE ≈25% @ current density of 150 mA cm−2), and operational lifetime extended to ≈1 800 000 h at 100 cd m−2. These extraordinary performances make this work the best among all solution‐processed QLEDs reported in literature so far by achieving simultaneously high luminescence and balanced charge injection. These major advances are attributed to the combination of an intermediate ZnSe layer with an ultrathin ZnS outer layer as the shell materials and surface modification with 2‐ethylhexane‐1‐thiol, which can dramatically improve hole injection efficiency and thus lead to more balanced charge injection.
Genetic diversity analysis of black gram (Vigna mungo L.)

Twenty two genotypes of black gram were used to study the nature and magnitude of genetic divergence using Mahalanobis’s D Statistics. The data for ten important quantitative traits were recorded. D analysis grouped 22 genotypes into five clusters. Cluster IV was largest with 10 followed by cluster V with 6 genotypes. The average intra-cluster distance between the genotypes was maximum for the cluster IV (49.2) and minimum for clusters I and II (1.00), respectively. The highest inter-cluster distance was noted between clusters I and II (16.77). The genotypes grouped in these clusters indicate their diverse nature. Number of branches per plant followed by biological yield per plant and plant height showed maximum per cent contribution towards total divergence among the genotypes. Ward cluster analysis grouped genotypes into two clusters, cluster I and II that were found apart at 25 rescaled values. The study provides scope for selection, further subsequent utility of the genotypes in future crop improvement programmes.
ALACRI2TY: Lossless Data Compression for Analytics-driven Query Processing.

ARKATKAR, ISHA. ALACRI2TY: Lossless Data Compression for Analytics-driven Query Processing. (Under the direction of Nagiza F. Samatova.) Analysis of scientific simulations is highly data-intensive and is becoming an increasingly important challenge. Peta-scale data sets require us to look for alternative ways of performing query-driven analyses. This thesis is an attempt in the direction of query processing over losslessly compressed scientific data. We propose ALACRI2TY (Analytics-driven Lossless dAta Compression for Rapid In-situ Indexing, sToring, and querYing), which at its core consists of two components: lossless compressor and query processing engine over compressed data. ALACRI2TY’s compression component performs compression of double precision scientific data by unique value-based binning. Based on significant bit splitting, ALACRI2TY improves compression ratios over general-purpose compression utilities. It then indexes the metadata about the compression rather than the data to enable light-weight index storage. The query processing engine answers range queries over this compressed data with a low degree of unnecessary decompression. ALACRI2TY’s methodology involving compression and binning enables (1) Indexing with a total storage requirement (data+index) of less than 135% (versus 200-300% in existing scientific database systems); (2) Data access at multiple precision levels of detail necessitated by the varying sensitivity of analytical kernels (e.g., low-precision for histograms and descriptive statistics, medium-precision for clustering, and full-precision for Fourier analysis); (3) Robust performance across univariate as well as multi-variate query constraints via efficient bitmapbased aggregation of partial results. Altogether, these capabilities yield a multi-fold improvement in query response time over state-of-the-art systems such as FastBit, MonetDB, and SciDB when tested on several realworld data sets from scientific simulations and using the high-end compute clusters and Lustre file system at Oak Ridge National Laboratory. c © Copyright 2012 by Isha Arkatkar