Miracle-dz/UniFAR-FTUs huggingface dataset:
An Evaluation of Jet Impingement Heat Transfer Correlations for Piccolo Tube Application

ABSTRACT Greek Letters Impinging jets have been used for a wide variety of applications where high rates of heat transfer are desired. This report will present a review of heat transfer correlations that have been published. The correlations were then added to the LEWICE software to evaluate the applicability of these correlations to a piccolo tube anti-icing system. The results of this analysis were then compared quantitatively to test results on a representative piccolo tube system. NOMENCLATURE A Area ratio (dimensionless) c chord (m) c n spanwise distance between holes (m) c x chordwise distance between holes (m) C p heat capacity (kJ/kgK) d jet hole diameter (m) D diameter of semi-cylinder (m) G mass flux (kg/m 2 s) h Heat transfer coefficient (kW/m 2 K) k Thermal conductivity (kW/mK) m  Mass flow rate per unit span (kg/ms) N r Number of jet rows Nu Nusselt number = hdk a Nu average Nusselt number q" Heat flux (kW/m 2 ) Pr Prandtl number = C p µ a k a leading edge through small holes drilled in a pipe. Ice r radial distance from hole (m) Re Reynolds number
MetaboCraft: building a Minecraft plugin for metabolomics

Motivation: The rapid advances in metabolomics pose a significant challenge in presentation and interpretation of results. Development of new, engaging visual aids is crucial to advancing our understanding of new findings. Results: We have developed MetaboCraft, a Minecraft plugin which creates immersive visualizations of metabolic networks and pathways in a 3D environment and allows the results of user experiments to be viewed in this context, presenting a novel approach to exploring the metabolome. Availability and implementation: https://github.com/argymeg/MetaboCraft/; https://hub.docker. com/r/ronandaly/metabocraft/ Supplementary information: Supplementary data are available at Bioinformatics online.
Edge-aware facial skin beautification based on skin tone probability

In this paper, we propose a novel facial skin beautification method which can smooth out skin textures in a natural manner. More specifically, the smoothing process of the proposed method is mainly focus on uniform skin textures while preserving the edges and boundaries of facial features or non-skin parts, thereby preventing from generating the so-called blurry facial images. For this, the proposed method utilizes a pixel-wise blurry mask which combines both edgeness and skin tone probability of each pixel. In various experiments, the proposed method shows very promising performance in terms of both the processing speed and the beautification results.
Green Security Plugin for Pervasive Computing Using the HADAS Toolkit

Energy is a critical resource in pervasive computing devices. However, information about energy consumption is not directly accessible through software development environ- ments, making it difficult to reuse the knowledge provided by existing energy-consumption experimental studies. To address this limitation, this paper presents a solution to enrich An- droid Studio with energy consumption information. We have developed a Green Security Plugin that provides energy-aware information to developers that make use of Android Security API. This plugin has been developed taking advantage of the functionalities provided by the HADAS toolkit. HADAS is a repository of energy consuming concerns in which researchers can store the energy measures obtained during their exper- imental studies and developers can perform a sustainability analysis to make green design/implementation decisions.
Amorphous/crystalline silicon heterojunction solar cells with black silicon texture

Excellent passivation of black silicon surfaces by thin amorphous silicon layers deposited with plasma enhanced chemical vapor deposition is demonstrated. Minority charge carrier lifetimes of 1.3 milliseconds, enabling an implied open‐circuit voltage of 714 mV, were achieved. The influence of amorphous silicon parasitic epitaxial growth and thickness, as well as of the texture depth is investigated. Furthermore, quantum efficiency gains for wavelengths above 600 nm, as compared to random textured solar cells, are demonstrated in 17.2% efficient amorphous–crystalline silicon heterojunction solar cells with black silicon texture. (© 2014 WILEY‐VCH Verlag GmbH &Co. KGaA, Weinheim)
Automatic Online Lecture Highlighting Based on Multimedia Analysis

Textbook highlighting is widely considered to be beneficial for students. In this paper, we propose a comprehensive solution to highlight the online lecture videos in both sentence- and segment-level, just as is done with paper books. The solution is based on automatic analysis of multimedia lecture materials, such as speeches, transcripts, and slides, in order to facilitate the online learners in this era of e-learning - especially with MOOCs. Sentence-level lecture highlighting basically uses acoustic features from the audio and the output is implemented in subtitle files of corresponding MOOC videos. In comparison with ground truth created by experts, the precision is over 60 percent, which is better than baseline works and also welcomed by user feedbacks. On the other hand, segment-level lecture highlighting works with statistical analysis, mainly by exploring the speech transcripts, the lecture slides and their connections. With the ground truth created by massive users, an evaluation process shows that general accuracy can reach 70 percent, which is fairly promising. Finally, we also attempt to find potential correlation between these two types of lecture highlights.
Fracture resistance force of primary molar crowns milled from polymeric computer-aided design/computer-assisted manufactured resin blocks

Purpose: To compare fracture resistance force (FRF) and failure types of crowns milled from resin nanoceramic (Lava Ultimate)-, and modified polymethylmethacrylate (PMMA) (Vita computer-aided design (CAD)-Temp)-, and PMMA (Telio CAD)-based CAD/computer-assisted manufactured (CAM) blocks. Materials and Methods: Three experimental groups of 10 milled crowns were arranged: Group-1 (Lava Ultimate), Group-2 (Vita CAD-Temp), and Group-3 (Telio CAD). Crowns were machined in sizes similar to a primary second molar stainless steel crown (SSC) and stored in water at 37°C for 30 days. The crowns were seated on Cr-Co dies. Their FRFs were measured using a universal test machine until fracture. FRFs and failure types were recorded and statistically analyzed (P < 0.05). Results: There were statistically significant differences among the groups for both FRFs and failure types. The sources of significant differences for FRFs and failure types were Group-3 and Group-1, respectively. Conclusion: Crowns milled from different chemical structural CAD/CAM blocks may be used for restoration of primary molar teeth.
Teacher-Evaluated Self-Regulation Is Related to School Achievement and Influenced by Parental Education in Schoolchildren Aged 8–12: A Case–Control Study

There are major inter-individual differences in the school achievements of students aged 8–12. The determinants of these differences are not known. This paper investigates two possible factors: the self-regulation of the student and the educational levels obtained by their parents. The study first investigates whether children with high and low academic achievement differ in their self-regulation. It then evaluates whether there are differences in the self-regulation of children with high and moderate-to-low level of parental education (LPE). The focus was on the self-regulation of students as judged by their teacher. Teacher evaluations were assessed using an observer questionnaire: the Amsterdam Executive Functioning Inventory. Results showed that students with low school achievement had substantially lower teacher-perceived self-regulation than children with high school achievement. Furthermore, teacher-perceived self-regulation was lower for children with moderate-to-low LPE than for children with high LPE. The findings suggest that interventions on the domain of self-regulation skills should be developed and used, particularly in students at risk of poor school achievement.
A Forensic Investigation of the Robot Operating System

The Robot Operating System (ROS) is a framework that is mostly used in industrial applications such as automotive, healthcare and manufacturing and it is not immune from potential future hacking. By carrying out various types of cyber-attacks, hackers can disrupt the normal operation of a robot. It is easy to get control of communication between a robot and a human due to the open communication network after carrying out malicious attacks to jam the network. As a result, hackers can change commands which are sent by an operator to the robot, making usual activities impossible. For instance, in a case of ROS hacking, man-in-the-middle attacks, Trojans, backdoor attacks, and so on, can change the behaviour of robots to something completely different than expected.Therefore, forensic analysts require a specific method to forensically investigate ROS. This is a new area in the computer forensics field. Therefore, it is proposed to create an analytical framework to facilitate the forensic investigation of the Robot Operating System and methodologies and standards for acquiring related digital evidence using forensic tools. This study addresses a formalized and structured methodology that would assist the forensic investigation approach.This research will help to enhance the gathering, identification and preservation of evidence related to forensics investigations of the Robot Operating System. The forensic analysts could adapt the examination procedure of hacked ROS with a focused, crime-specific, forensics framework.
Evaluation of a commercially‐available block for spatially fractionated radiation therapy

In this paper, we present the dosimetric characteristics of a commercially‐produced universal GRID block for spatially fractioned radiation therapy. The dosimetric properties of the GRID block were evaluated. Ionization chamber and film measurements using both Kodak EDR2 and Gafchromic EBT film were performed in a solid water phantom to determine the relative output of the GRID block as well as its spatial dosimetric characteristics. The surface dose under the block and at the openings was measured using ultra thin TLDs. After introducing the GRID block into the treatment planning system, a treatment plan was created using the GRID block and also by creating a GRID pattern using the multi‐leaf collimator. The percent depth doses measured with film showed that there is a shift of the dmax towards shallower depths for both energies (6 MV and 18 MV) under investigation. It was observed that the skin dose at the GRID openings was higher than the corresponding open field by a factor as high as 50% for both photon energies. The profiles showed the transmission under the block was in the order of 15–20% for 6 MV and 30% for 18 MV. The MUs calculated for a real patient using the block were about 80% less than the corresponding MUs for the same plan using the multileaf collimator to define the GRID. Based on this investigation, this brass GRID compensator is a viable alternative to other solid compensators or MLC‐based fields currently in use. Its ease of creation and use give it decided advantages. Its ability to be created once and used for multiple patients (by varying the collimation of the linear accelerator jaws) makes it attractive from a cost perspective. We believe this compensator can be put to clinical use, and will allow more centers to offer GRID therapy to their patients. PACS number: 87.53. Mr
Heterologous Complementation Studies With the YscX and YscY Protein Families Reveals a Specificity for Yersinia pseudotuberculosis Type III Secretion

Type III secretion systems harbored by several Gram-negative bacteria are often used to deliver host-modulating effectors into infected eukaryotic cells. About 20 core proteins are needed for assembly of a secretion apparatus. Several of these proteins are genetically and functionally conserved in type III secretion systems of bacteria associated with invertebrate or vertebrate hosts. In the Ysc family of type III secretion systems are two poorly characterized protein families, the YscX family and the YscY family. In the plasmid-encoded Ysc-Yop type III secretion system of human pathogenic Yersinia species, YscX is a secreted substrate while YscY is its non-secreted cognate chaperone. Critically, neither an yscX nor yscY null mutant of Yersinia is capable of type III secretion. In this study, we show that the genetic equivalents of these proteins produced as components of other type III secretion systems of Pseudomonas aeruginosa (PscX and PscY), Aeromonas species (AscX and AscY), Vibrio species (VscX and VscY), and Photorhabdus luminescens (SctX and SctY) all possess an ability to interact with its native cognate partner and also establish cross-reciprocal binding to non-cognate partners as judged by a yeast two-hybrid assay. Moreover, a yeast three-hybrid assay also revealed that these heterodimeric complexes could maintain an interaction with YscV family members, a core membrane component of all type III secretion systems. Despite maintaining these molecular interactions, only expression of the native yscX in the near full-length yscX deletion and native yscY in the near full-length yscY deletion were able to complement for their general substrate secretion defects. Hence, YscX and YscY must have co-evolved to confer an important function specifically critical for Yersinia type III secretion.
Does Oral Implant Design Affect Marginal Bone Loss? Results of a Parallel-Group Randomized Controlled Equivalence Trial

Objective To test whether or not the modified design of the test implant (intended to increase primary stability) has an equivalent effect on MBL compared to the control. Methods Forty patients were randomly assigned to receive test or control implants to be installed in identically dimensioned bony beds. Implants were radiographically monitored at installation, at prosthetic delivery, and after one year. Treatments were considered equivalent if the 90% confidence interval (CI) for the mean difference (MD) in MBL was in between −0.25 and 0.25 mm. Additionally, several soft tissue parameters and patient-reported outcome measures (PROMs) were evaluated. Linear mixed models were fitted for each patient to assess time effects on response variables. Results Thirty-three patients (21 males, 12 females; 58.2 ± 15.2 years old) with 81 implants (47 test, 34 control) were available for analysis after a mean observation period of 13.9 ± 4.5 months (3 dropouts, 3 missed appointments, and 1 missing file). The adjusted MD in MBL after one year was −0.13 mm (90% CI: −0.46–0.19; test group: −0.49; control group: −0.36; p = 0.507). Conclusion Both implant systems can be considered successful after one year of observation. Concerning MBL in the presented setup, equivalence of the treatments cannot be concluded. Registration This trial is registered with the German Clinical Trials Register (ID: DRKS00007877).
On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization

Tchebycheff decomposition represents one of the most widely used decomposition approaches that can convert a multiobjective optimization problem into a set of scalar optimization subproblems. Nevertheless, the geometric properties of the subproblem objective functions in Tchebycheff decomposition have not been explicitly studied. This paper proposes a Tchebycheff decomposition with <inline-formula> <tex-math notation="LaTeX">${l_{p}}$ </tex-math></inline-formula>-norm constraint on direction vectors in which the subproblem objective functions are endowed with clear geometric property. Especially, the Tchebycheff decomposition with <inline-formula> <tex-math notation="LaTeX">${l_{2}}$ </tex-math></inline-formula>-norm constraint on direction vectors is taken as an example to illustrate its advantage. A new unary <inline-formula> <tex-math notation="LaTeX">${R_{2}}$ </tex-math></inline-formula> indicator is also introduced to approximate the hyper-volume metric and justify the efficiency of the proposed Tchebycheff decomposition. A resultant Tchebycheff decomposition-based multiobjective evolutionary algorithm (MOEA) with <inline-formula> <tex-math notation="LaTeX">${l_{2}}$ </tex-math></inline-formula>-norm constraint and a new population update strategy is proposed to solve multiobjective optimization problems. The experimental results on both benchmark and real-world multiobjective optimization problems show that the proposed algorithm is capable of obtaining high quality solutions compared with other state-of-the-art MOEAs.
Detecting application update attack on mobile devices through network featur

Recently, a new type of mobile malware applications with self-updating capabilities was found on the official Google Android marketplace. Malware applications of this type cannot be detected using the standard signatures approach or by applying regular static or dynamic analysis methods. In this paper we first describe and analyze this new type of mobile malware and then present a new network-based behavioral analysis for identifying such malware applications. For each application, a model representing its specific traffic pattern is learned locally on the device. Machine-learning methods are used for learning the normal patterns and detection of deviations from the normal application's behavior. These methods were implemented and evaluated on Android devices.
Polyvinyl Alcohol with Superior Flooding Properties to Enhance Oil Recovery Process

Polymer flooding is one of most important Enhance Oil Recovery (EOR) processes. This study concerns two key parameters influencing polymer flooding efficiency. As it is expected, some of key parameters such as: salinity and reservoir temperature and pressure, play important roles in improving oil recovery through polymer flooding. Regarding the fact that Hydrolyzed Poly Acryl Amid (HPAM) decomposes in high temperature and pressure conditions, only reservoirs with medium temperature and pressure are suitable for polymer flooding technique. On the other hand, viscosity of polymer solution decreases in high reservoir salinity, therefore HPAM is not effective for reservoirs with high salinity and temperature . We strongly believe that Poly vinyl Alcohol (PVA), as a viscous surfactant and IFT reducer, would be stable in extreme conditions of high salinity and high temperature (above 480o F) and therefore, it can be used for reservoirs with high salinity and temperature.
Actor and Observer: Joint Modeling of First and Third-Person Videos

Several theories in cognitive neuroscience suggest that when people interact with the world, or simulate interactions, they do so from a first-person egocentric perspective, and seamlessly transfer knowledge between third-person (observer) and first-person (actor). Despite this, learning such models for human action recognition has not been achievable due to the lack of data. This paper takes a step in this direction, with the introduction of Charades-Ego, a large-scale dataset of paired first-person and third-person videos, involving 112 people, with 4000 paired videos. This enables learning the link between the two, actor and observer perspectives. Thereby, we address one of the biggest bottlenecks facing egocentric vision research, providing a link from first-person to the abundant third-person data on the web. We use this data to learn a joint representation of first and third-person videos, with only weak supervision, and show its effectiveness for transferring knowledge from the third-person to the first-person domain.
Elevated serum vascular endothelial growth factor in treatment-resistant schizophrenia treated with electroconvulsive therapy: Positive association with therapeutic effects

Abstract Objectives: As the name implies, vascular endothelial growth factor (VEGF) enhances angiogenesis, promotes vascular permeability, and stimulates neurogenesis in the adult brain. Furthermore, animal model studies have shown that electroconvulsive therapy (ECT), which is primarily utilised in cases of treatment-resistant schizophrenia (TRS), regulates the expression of VEGF. The current study focuses largely on the effect of ECT on VEGF serum concentration, and the relationship between VEGF and therapeutic effects in patients diagnosed with TRS. Methods: Participants comprised 40 TRS patients and 43 healthy controls. Clinical severity was assessed (i.e. 1 day before commencement of ECT and 1 day following ECT) using the positive and negative syndrome scale (PANSS). Blood samples were also collected for VEGF measurements at corresponding time points. Results: Pre-treatment serum VEGF levels were significantly lower in TRS patients compared to healthy controls. VEGF concentrations increased significantly following ECT, whereas no difference was found in controls. Moreover, there was a positive correlation between the change in VEGF and therapeutic effects. Conclusions: Elevated serum VEGF in TRS treated with ECT is positively associated with therapeutic effects, suggesting that alterations in VEGF levels may constitute an index by which to evaluate the improvement in clinical condition.
Coupled Low Rank Approximation for Collaborative Filtering in Social Networks

Recommending items and friends are equally important in social recommendation applications. Current works usually consider them as two independent tasks and address them separately. This paper presents a new method to collaboratively perform the two tasks, in which three types of sparse data, ratings, trust, and distrust, are complemented with each other by a coupled low-rank approximation model. The data sparsity problems, which greatly decline prediction quality in respective tasks, are well mitigated in this way. The recovery conditions regarding the low-rank approximation are provided. Empirical studies on real data also support our theoretical models and analysis. To the best of our knowledge, this is the first attempt to raise and address such a problem.
Approximate Air-Fluid Interactions for SPH

Computing the forces acting from a surrounding air phase onto an SPH free-surface fluid is challenging. For full multiphase simulations the computational overhead is significant and stability issues due to the high density ratio may arise. In contrast, the air-fluid interactions can be approximated efficiently by employing a drag equation. Here, for plausible effects, the parameterization is important but challenging. We present an approach to calculate the parameters of the used drag equation in a physically motivated way. We approximate the deformation and occlusion of particles to determine their drag coefficient and exposed surface area. The resulting effects are validated by comparing them to the results of a multiphase SPH simulation. We further show the practicality of our approach by combining it with different types of SPH solvers and by simulating multiple, complex scenes.