Miracle-dz/UniFAR-FTUs huggingface dataset:
3DSwap: curated knowledgebase of proteins involved in 3D domain swapping

Three-dimensional domain swapping is a unique protein structural phenomenon where two or more protein chains in a protein oligomer share a common structural segment between individual chains. This phenomenon is observed in an array of protein structures in oligomeric conformation. Protein structures in swapped conformations perform diverse functional roles and are also associated with deposition diseases in humans. We have performed in-depth literature curation and structural bioinformatics analyses to develop an integrated knowledgebase of proteins involved in 3D domain swapping. The hallmark of 3D domain swapping is the presence of distinct structural segments such as the hinge and swapped regions. We have curated the literature to delineate the boundaries of these regions. In addition, we have defined several new concepts like ‘secondary major interface’ to represent the interface properties arising as a result of 3D domain swapping, and a new quantitative measure for the ‘extent of swapping’ in structures. The catalog of proteins reported in 3DSwap knowledgebase has been generated using an integrated structural bioinformatics workflow of database searches, literature curation, by structure visualization and sequence–structure–function analyses. The current version of the 3DSwap knowledgebase reports 293 protein structures, the analysis of such a compendium of protein structures will further the understanding molecular factors driving 3D domain swapping. Database URL: http://caps.ncbs. res.in/3dswap
MEMS sensors signal preprocessing for vehicle monitoring systems

In the article characteristics of signals recorded by 3-axis MEMS accelerometers and gyroscopes during driving a car was presented. The method of acquisition was discussed as well as the structure of Logger Box measurement system and conditions of conducting experimental research. Signal bands were assigned, typical for maneuvers, vibrations from the road pavement surface and disruptions generated by working engine. Methods of signals filtration and assignment of characteristics describing vehicle's movement were presented. Data processing was proposed, which can be useful for assessment of driving technique. The developed algorithms were verified on signals recorded in trucks and passenger cars in real conditions of driver's work.
Large-Scale Machine Learning

Course Outline: This course will explore the mathematical foundations of a rapidly evolving new field: large-scale machine learning and optimization. We will focus on recent texts in machine learning, optimization, and randomized algorithms, with the goal to understand the tradeoffs that are driving algorithmic design in this new discipline. These trade-offs will revolve around statistical accuracy, scalability, algorithmic complexity, and implementation.
A novel remote sensing image change detection algorithm based on Markov random field theory

Image change detection is based on the analysis in different time from the same area of two or more images, detect the feature in the region information changes over time. Remote sensing image change detection has been widely used in such as the dynamic monitoring of forest resources monitoring, the change of land cover and use, agricultural resources survey, urban planning layout, environmental monitoring and analysis, assessment of natural disasters, geographic data update and military reconnaissance in the strategic objectives (such as roads, Bridges, airports) of dynamic monitoring and many other fields. Markov generally is short for Markov property. It refers to a random variable sequence in relations, in turn, displaces, the distribution characteristics of N + 1 time, has nothing to do with the value of a random variable N moments ago. Due to the change detection task is aimed at a single time series scales images, applying Markov random field theory which can obtain better testing result.
A simply integrated dual-sensor based non-intrusive iris image acquisition system

We describe an image acquisition system based on an integrated dual-sensor with a visible and infrared spectrum, which enables a multimodal biometric system, including non-intrusive iris recognition. To implement this as capable of simultaneously acquiring facial and iris images, a beam splitter for reflecting or transmitting visible and infrared light representing an image of a target object is used along an identical ray path divided into different bands. Namely, the beam splitter divides incident light from an object into the dual-sensor. Accordingly, an image of the iris area and an image of the facial region can be simultaneously acquired from a single image acquisition system, and an iris image can be acquired from a relatively long distance. The iris biometric system is implemented by using the facial detection and iris recognition SDK. In experiments, we have successfully evaluated the performance of the proposed image acquisition system with a non-intrusive iris recognition algorithm.
Modified Multiply and Accumulate Unit with Hybrid Encoded Reduced Transition Activity Technique Equipped Multiplier and Low Power 0.13µm Adder for Image Processing Applications

This paper explores the design approach of a low power high performance Multiply and Accumulate (MAC) unit with Hybrid Encoded Reduced Transition Activity Technique (HERTAT) equipped multiplier and low power 0.13'm adder. The developed low power MAC unit is verified for image processing systems exploiting insignificant bits in pixels values and the similarity of neighboring pixels in video streams. The proposed technique reduces dynamic power consumption by analyzing the bit patterns in the input data to reduce switching activities. If the number of 1’s less than or equal to three the proposed encoding technique used otherwise go for Booth technique. The proposed adder cell used in the MAC block consumes less power than the other previous adder techniques. This high performance low power MAC can be used in image processing. It is observed from the device level simulation using TANNER 12.6 EDA, that the proposed scheme helps to reduce the switching activities in the MAC unit up to 19% and saves power up to 46%.
Reluctant learners: social work students and work with older people

Abstract Reflective learning requires active, motivated learners. Stimulating reflective learning when the student is uninterested in the subject is problematic. In the case of social work students an example of such disinterest is their negative attitude towards work with older people. Many studies have shown a hierarchy of students' client group preferences with children and families at the top and older and disabled people at the bottom. In Britain, older people are the major group of users of social services. There is a mismatch between users' (and agencies') needs and social work students' client group preferences. Reasons for students' disinterest in this area of work are considered, alongside more general barriers to learning. The use of a repertory grid technique with a group of first-year social work students undergoing professional training is discussed, with the aim of assisting students to articulate their views about work with older people. Such techniques can enhance reflective learning in other contexts, and engage reluctant learners.
Contribution of right hemisphere to visual imagery: A visual working memory impairment?

Visual Imagery is the ability to generate mental images in the absence of perception, that is, “seeing with the mind's eye. ” We describe a patient, IM, who suffered from an acute ischemic stroke in the right anterior choroidal artery who appeared to demonstrate relatively isolated impairment in visual imagery. Her cognitive function, including her performance on tests of semantic function, was at ceiling, apart from a deficit in visual memory. IM failed in tasks involving degraded stimuli, object decision involving reality judgments on normal animals, and drawings from memory. By contrast, she was able to match objects seen from an unfamiliar viewpoint and to perform tasks of semantic and visual association. We hypothesize that IM has a visual working memory deficit that impairs her ability to generate full visual representations of objects given their names, individual feature, or partial representations. The deficit appears to be the result of damage to connections between the right thalamus and the right temporal lobe. Our findings may help to clarify the role of the thalamus in the cortical selective engagement processes that underlie working memory. (JINS, 2008, 14, 902–911.)
An Anonymous Endorsement System

The expression of one’s opinion through endorsement is one of the simplest methods of democratic participation. The result of an endorsement can be used to evaluate whether a certain subject should deserve a higher attention. In some cases, the endorsers desire privacy protection. However, conventional paper-based endorsement systems provide neither convenience nor well privacy protection for the endorsers. In addition, current electronic anonymous voting schemes are unsuitable for anonymous endorsement. This motivates us to develop an anonymous endorsement system that can be realized on computer networks. The proposed system satisfies completeness, soundness, privacy, unreusability, eligibility, and verifiability. In practice, the proposed system can be integrated with the conventional paper-based endorsement system.
Accessing Pedagogical Territories That Can't Be Put into Words: Using Video to Build Understandings of Children's Multimodal Meaning-Making

This article outlines ways in which video can further our understanding of how different modes of communication and meaning-making shape learning and learners in the early years. It focuses on a dramatic play and writing episode videoed during a three-year action research study investigating children's use of different semiotic modes in the curriculum of a New Zealand kindergarten. It highlights the capacity of video to enable closer attention to be paid to the pedagogical significance of modes such as the visual, gestural, mimetic, spatial and kinaesthetic as well as the verbal. It explores how differences in media (e.g. computer, video, book, screen) interact with differences in mode, and the ways in which the collaborative viewing of video recordings of ‘everyday’ episodes in early childhood settings, by teachers, researchers and parents, can serve as a platform for inquiry about children's meaning-making processes.
Placing the Stakes: The Enactment of Territorial Stakeholders in Planning Processes

This paper is an investigation into processes of becoming-stakeholder. It focuses specifically on strategic spatial planning where the stakeholder concept has become one of the linchpins of much contemporary theory and practice. Through drawing upon the sociology of attachments and scholarship on subjectification, it is argued that the enactment of stakeholders in strategic planning processes can be gainfully understood as the production of stakeholder subjectivities by way of practices of ontological choreography which can generate territorial attachments and rearticulate existing attachments into a specifically territorial format. From this perspective, stakeholderness is never an ontologically pregiven property to be uncovered by diligent analysis. Rather, we might come to see that stakeholder subjectification is a process through which actors learn to be affected, and where these affections further come to be articulated as territorial attachments engendering, or at least prompting, a ‘caring for place’. Still, as relational effects, subjectivities are always potentially precarious achievements and it is important not to take for granted that the subjectivities enacted in a specific situation or setting will be easily transposable to other contexts.
Using the NEO Personality Inventory in Child Custody Evaluations: A Practitioner's Perspective

Since the 1980s the Five-Factor Model (FFM) has become increasingly prominent as a systematic and comprehensive description of normal personality. Since the 1990s investigators using the FFM have shown that individual differences in normal personality are associated with parenting behavior and child outcomes. Yet custody evaluators are not using FFM measures in their work. The NEO PI-R/PI-3 is recommended as a reliable FFM measure with widespread use in both research and applied settings. The greatest challenge evaluators face with the NEO PI-R/PI-3 is weighing the impact of custody litigant impression management. Support is available via child custody litigant norms presented here, validity scales from other sources, and the correlation of a litigant's score profile with the modal self-favorable profile calculated from research into impression management on the NEO PI-R.
Asadal/sim : a Simulation-based Methodology for Behavioral Analysis and Validation of Real-time Software Speciication

Despite considerable advancements in software engineering method during the past three decades, requirement engineering of large and complex software systems still remains to be one of the more diicult and active research problems. One such diiculty is in developing correct and useful methods for analysis and validation of real-time software speciications. Formal methods have been applied in an attempt to analyze real-time properties of software speciications, however, users have diicult time in comprehending formal specii-cations and visualizing the nal system behavior. In addition, because of its computational complexity, formal methods may not be a practical for even systems of moderate size and complexity. On the other hand, simulation is one eeective method for verifying various characteristics of real-time systems and validating user requirements during early software development stages. Although not as complete as the formal approaches, simulation may provide a rough picture of the nal system behavior. This paper introduces a simulation-based behavioral analysis and validation method (and a tool) for real-time software speciications called ASADAL/SIM. It is a subsystem of a larger computer-aided real-time software development environment called ASADAL developed at POSTECH 13]. First, requirements are speciied by software developers using various formal languages. Simulation primitives are then added to these speciications in order to assign stochastic behaviors to external entities and internal processes, and to build a simulation model. ASADAL/SIM executes the model and, at the same time, provides a \look and feel" of the nal system behavior by graphically showing the internal workings of the system and presenting various analytical results and system statistics. An elevator control system is used throughout the paper to illustrate the method.
When Naı̈ve Bayes Nearest Neighbours Meet Convolutional Neural Networks

Since Convolutional Neural Networks (CNNs) have become the leading learning paradigm in visual recognition, Naive Bayes Nearest Neighbour (NBNN)-based classifiers have lost momentum in the community. This is because (1) such algorithms cannot use CNN activations as input features; (2) they cannot be used as final layer of CNN architectures for end-to-end training , and (3) they are generally not scalable and hence cannot handle big data. This paper proposes a framework that addresses all these issues, thus bringing back NBNNs on the map. We solve the first by extracting CNN activations from local patches at multiple scale levels, similarly to [1]. We address simultaneously the second and third by proposing a scalable version of Naive Bayes Non-linear Learning (NBNL, [2]). Results obtained using pre-trained CNNs on standard scene and domain adaptation databases show the strength of our approach, opening a new season for NBNNs.
Histone H4-K16 Acetylation Controls Chromatin Structure and Protein Interactions

Acetylation of histone H4 on lysine 16 (H4-K16Ac) is a prevalent and reversible posttranslational chromatin modification in eukaryotes. To characterize the structural and functional role of this mark, we used a native chemical ligation strategy to generate histone H4 that was homogeneously acetylated at K16. The incorporation of this modified histone into nucleosomal arrays inhibits the formation of compact 30-nanometer–like fibers and impedes the ability of chromatin to form cross-fiber interactions. H4-K16Ac also inhibits the ability of the adenosine triphosphate–utilizing chromatin assembly and remodeling enzyme ACF to mobilize a mononucleosome, indicating that this single histone modification modulates both higher order chromatin structure and functional interactions between a nonhistone protein and the chromatin fiber.
Constructing Bridges of Support: School Counsellors’ Experiences of Student Suicide

School counsellors are professionals with specialized training in personal counselling who work in school settings. They are usually the front-line school personnel required to deal with youth suicide. Despite the important roles of school counsellors, there is little research that explores the experiences of school counsellors who have lost clients to suicide. In this study, seven school counsellors were individually interviewed, and data were analyzed using a basic interpretative qualitative method informed by grounded theory. Themes related to training and practice standards, support resources, and self-care were identified by participants as critical to personal well-being and continued effective professional functioning. Personal and professional implications are discussed.
On-Site 3D Vision Tracking of Construction Personnel

Open construction sites are highly complex environments for onsite tracking. The large amount of items present along with the amounts of occlusions/obstructions, make efficient onsite personnel tracking very difficult. Current tracking methods rely mostly on Radio Frequency technologies, such as Radio Frequency Identification (RFID), Global Positioning Systems (GPS), Bluetooth and Wireless Fidelity (Wi-Fi, Ultra-Wideband, etc). These technologies require manual deployment of tags and record keeping of the people they are placed on. In open construction sites with numerous people working simultaneously, sensor installations and maintenance increases the cost and time needed to implement these tracking methods. This paper presents a new, less obtrusive method for open site tracking of personnel using video cameras. Video feeds are collected from on site video cameras and presented to the user. The user can then select the person that is to be tracked. The person is subsequently tracked in each video using 2D vision tracking. In each frame, epipolar geometry is used to calculate the depth (3D position) of the person. This method addresses the limitations of radio frequency methods since it uses existing construction site equipment (security cameras) to perform tracking. The method has been implemented in a C++ prototype and preliminary results show effective 3D positioning of personnel in construction sites.
Specificity of the Receptor for the Major Sex Pheromone Component in Heliothis virescens

Abstract In a previous study, the Drosophila melanogaster OR67dGAL4;UAS system was used to functionally characterize the receptor for the major component of the sex pheromone in the tobacco budworm, Heliothis virescens Fabricius (Lepidoptera: Noctuidae), HvOR13. Electrophysiological and behavioral assays showed that transgenic flies expressing HvOR13 responded to (Z)-11-hexadecenal (Z11-16:Ald). However, tests were not performed to determine whether these flies would also respond to secondary components of the H. virescens sex pheromone. Thus, in this study the response spectrum of HvOR13 expressed in this system was examined by performing single cell recordings from odor receptor neuron in trichoid T1 sensilla on antennae of two Or67dGAL4 [1]; UAS-HvOR13 lines stimulated with Z11-16:Ald and six H. virescens secondary pheromone components. Fly courtship assays were also performed to examine the behavioral response of the Or67dGAL4[1]; UAS-HvOR13 flies to Z11-16:Ald and the secondary component Z9-14:Ald. Our combined electrophysiological and behavioral studies indicated high specificity and sensitivity of HvOR13 to Z11-16:Ald. Interestingly, a mutation leading to truncation in the HvOR13 C-terminal region affected but did not abolish pheromone receptor response to Z11-16:Ald. The findings are assessed in relationship to other HvOR13 heterologous expression studies, and the role of the C-terminal domain in receptor function is discussed. A third line expressing HvOR15 was also tested but did not respond to any of the seven pheromone components.
Energy efficient illumination optimization for indoor visible light communication

Communication, illumination, and energy saving are three basic objectives of visible light communication (VLC) system. However, it's difficult to simultaneously optimize these performances. Therefore, this paper jointly optimizes energy consumption and illumination while communication and other constraints are satisfied. The problem is formulated using multi-objective and multi-control-variable optimization. A novel p-optimality based clonal selection algorithm (CLONALG) is developed to solve it. Compared with conventional Pareto optimality method, our algorithm exerts prior preference on optimization objectives, enabling multiple search directions towards the optimal solution set. Simulation results prove that illumination uniformity is improved while LED power consumption is reduced. Also, advantages of p-optimality are identified and validated by comparing with Pareto optimality method.
A 45nm CMOS 0.35v-optimized standard cell library for ultra-low power applications

Ultra-low voltage is now a well known solution for energy constrained applications designed using nanometric process technologies. This work is focused on setting-up an automated methodology to enable the design of ultra-low voltage digital circuits exclusively using standard EDA tools. To achieve this goal, a 0.35V energy-delay optimized library was developed. This library, fully compliant with standard library design flow and characterization, was verified through the design and fabrication of a BCH decoder circuit, following a standard front-end to back-end flow. It performs at 457 kHz, with a total energy consumption of 2.9fJ per cycle.
Whose Choice is It? Contemplating Challenge-by-Choice and Diverse-Abilities

This article examines the ethical dilemmas experienced by the authors that arose during a challenge course event with a child with special needs. Through written narrative accounts of this event, the authors offer their perspectives of questions and considerations surrounding the Challenge-by-Choice philosophy when working with children with special needs. Core values of Challenge-by-Choice are discussed, as well as basic philosophical tenets surrounding aspects of choice. Lessons learned from the personal experience are offered in the hopes of sparking discussions among other practitioners, and preventing similar situations from arising elsewhere.
A Fast and Memory Efficient Huffman Decoding Method for the MPEG-4 AAC Standard

Huffman coding is an efficient coding technique that is largely used in applications that need a lossless data compression. We present in this paper a novel method for Huffman decoding that increases the performance and keeps the memory consumption low. The main idea is to add information about the number of bits necessary to search for the next possible symbol in the Huffman tree. The proposed method has been used in the implementation of an MPEG-4 AAC decoder, and has proven to be extremely fast to decode short symbols that are the ones with higher probability to occur in a bitstream.