Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust OLED displays dimming algorithm based on visual perceptual analysis techniques

Mobile devices have become an indispensable part of our live. Hence, to increase the battery life of mobile devices has become a crucial research topic to interdisciplinary fields. In this paper, we propose a subjective-visual-perception-based (SVPB) OLED displays dimming technique to reduce the power consumption when displaying videos on mobile devices. First, we extract the motion vectors (MV) from the video's bitstream and transform it into a saliency map. Then, we formulate an SVPB pixel dimming algorithm to obtain how great of pixel's value can be reduced with respect to its intensity of salience, based on the principle of human visual system (HVS). Finally, a subjective experiment is conducted to determine the parameter in the algorithm to ensure the good visual quality. Experimental results show that our method achieved on average 16% of power-saving.
Insights into Role of Bromodomain, Testis-specific (Brdt) in Acetylated Histone H4-dependent Chromatin Remodeling in Mammalian Spermiogenesis*

Background: Brdt is a double bromodomain containing, testis-specific protein known to recognize acetylated H4. Results: Smarce1, identified as a novel Brdt interacting partner, shows enhanced interaction upon hyperacetylation of histone H4. Conclusion: Brdt, a chromatin remodeling factor, associates with Smarce1 in haploid spermatids. Significance: This study sheds light on the molecular events underlying global chromatin remodeling during mammalian spermiogenesis. Mammalian spermiogenesis is of considerable biological interest especially due to the unique chromatin remodeling events that take place during spermatid maturation. Here, we have studied the expression of chromatin remodeling factors in different spermatogenic stages and narrowed it down to bromodomain, testis-specific (Brdt) as a key molecule participating in chromatin remodeling during rat spermiogenesis. Our immunocytochemistry experiments reveal that Brdt colocalizes with acetylated H4 in elongating spermatids. Remodeling assays showed an acetylation-dependent but ATP-independent chromatin reorganization property of Brdt in haploid round spermatids. Furthermore, Brdt interacts with Smarce1, a member of the SWI/SNF family. We have studied the genomic organization of smarce1 and identified that it has two splice variants expressed during spermatogenesis. The N terminus of Brdt is involved in the recognition of Smarce1 as well as in the reorganization of hyperacetylated round spermatid chromatin. Interestingly, the interaction between Smarce1 and Brdt increases dramatically upon histone hyperacetylation both in vitro and in vivo. Thus, our results indicate this interaction to be a vital step in the chromatin remodeling process during mammalian spermiogenesis.
Paraprofessionals: Gatekeepers of Authentic Art Production

Paraprofessionals are increasingly utilized in inclusive art classrooms to support the art production of students with disabilities. For this descriptive qualitative study, we observed 18 paraprofessionals across elementary, middle, and high school inclusive art classrooms in Central New York. The findings suggest that these support staff act as gatekeepers, either denying or allowing access to authentic art production by facilitating or impeding access to the art curriculum. Implications for practicing art teachers and art teacher preparation programs are included.
DPLL for Phase Noise Cancellation in Ring Oscillator-Based Quadrature Receivers

In this paper, a low overhead phase noise cancellation technique for ring oscillator (RO)-based quadrature receivers is presented. The proposed technique operates in background and extracts RO phase noise as well as supply-induced phase noise from the digital phase-locked loop. The obtained phase noise information is then used to restore the randomly rotated baseband signal in digital domain. A receiver prototype is fabricated in standard 65-nm CMOS technology. It demonstrates a phase noise reduction from −88 to −109 dBc/Hz at 1-MHz offset and an integrated phase noise reduction from −16.8 to −34.6 dBc when operating at 2.4 GHz.
Measurement and Analysis Study of Congestion Detection for Internet Video Streaming

A measurement study was conducted of video streaming across a testbed with routers typical of those found at bottlenecks on the wired Internet. During ‘bursty’ traffic packet loss was not always fairly distributed between background flows and a video stream. The paper shows that packet-by-packet end-to-end delay, an alternative metric, has the ability to closely track queuing delay, responding to available bandwidth in a timely manner. A wider issue considered by the paper is to what extent one-way delay across a network path that includes bottleneck links can act to detect congestion.
Scale and space dependencies of soil nitrogen variability

Abstract. In this study, we use multifractal analysis, through generalized dimensions (Dq) and the relative entropy (E(δ)), to investigate the residual effects of fertigation treatments applied to a previous crop on wheat and grain biomass and nitrogen content. The wheat crop covered nine subplots from a previous experiment on melon responses to fertigation. Each subplot had previously received a different level of applied nitrogen (Napp), and the plants from the previous melon crop had already taken up part of it. Many factors affect these variables, causing them to vary at different scales and creating a non-uniform distribution along a transect. Correlations between the four variables and Napp showed high volatility, although the relationships between grain weight and wheat weight versus wheat nitrogen content presented a statistically significant logarithmic trend. The Dq values were used to study the relation between scales and E(δ) values, and their increments between scales were used to identify the scale at which the variable had the maximum structure and were compared with the scaling behaviour of the Napp. E(δ) is particularly appropriate for this purpose because it does not require any prior assumptions regarding the structure of the data and is easy to calculate. The four variables studied presented a weak multifractal character with a low variation in Dq values, although there was a distinction between variables related to nitrogen content and weight. On the other hand, the E(δ) and the increments in E(δ) help us to detect changes in the scaling behaviour of all the variables studied. In this respect, the results showed that the Napp through fertigation dominated the wheat and grain biomass response, as well as the nitrogen content of the whole plant; surprisingly, the grain nitrogen content did not show the same structure as Napp. At the same time, there was a noticeable structure variation in all the variables, except wheat nitrogen content, at smaller scales that could correspond to the previous cropping root arrangement due to uptake of the Napp.
The analogical mind : perspectives from cognitive science

Analogy has been the focus of extensive research in cognitive science over the past two decades. Through analogy, novel situations and problems can be understood in terms of familiar ones. Indeed, a case can be made for analogical processing as the very core of cognition. This is the first book to span the full range of disciplines concerned with analogy. Its contributors represent cognitive, developmental, and comparative psychology; neuroscience; artificial intelligence; linguistics; and philosophy. The book is divided into three parts. The first part describes computational models of analogy as well as their relation to computational models of other cognitive processes. The second part addresses the role of analogy in a wide range of cognitive tasks, such as forming complex cognitive structures, conveying emotion, making decisions, and solving problems. The third part looks at the development of analogy in children and the possible use of analogy in nonhuman primates. Contributors: Miriam Bassok, Consuelo B. Boronat, Brian Bowdle, Fintan Costello, Kevin Dunbar, Gilles Fauconnier, Kenneth D. Forbus, Dedre Gentner, Usha Goswami, Brett Gray, Graeme S. Halford, Douglas Hofstadter, Keith J. Holyoak, John E. Hummel, Mark T. Keane, Boicho N. Kokinov, Arthur B. Markman, C. Page Moreau, David L. Oden, Alexander A. Petrov, Steven Phillips, David Premack, Cameron Shelley, Paul Thagard, Roger K.R. Thompson, William H. Wilson, Phillip Wolff.
Comprehensive classification of nucleotidyltransferase fold proteins: identification of novel families and their representatives in human

This article presents a comprehensive review of large and highly diverse superfamily of nucleotidyltransferase fold proteins by providing a global picture about their evolutionary history, sequence-structure diversity and fulfilled functional roles. Using top-of-the-line homology detection method combined with transitive searches and fold recognition, we revised the realm of these superfamily in numerous databases of catalogued protein families and structures, and identified 10 new families of nucleotidyltransferase fold. These families include hundreds of previously uncharacterized and various poorly annotated proteins such as Fukutin/LICD, NFAT, FAM46, Mab-21 and NRAP. Some of these proteins seem to play novel important roles, not observed before for this superfamily, such as regulation of gene expression or choline incorporation into cell membrane. Importantly, within newly detected families we identified 25 novel superfamily members in human genome. Among these newly assigned members are proteins known to be involved in congenital muscular dystrophy, neurological diseases and retinal pigmentosa what sheds some new light on the molecular background of these genetic disorders. Twelve of new human nucleotidyltransferase fold proteins belong to Mab-21 family known to be involved in organogenesis and development. The determination of specific biological functions of these newly detected proteins remains a challenging task.
Multiple-Bit Upset Protection in Microprocessor Memory Arrays Using Vulnerability-Based Parity Optimization and Interleaving

We propose a technology-independent vulnerability-driven parity selection method for protecting modern microprocessor in-core memory arrays against multiple-bit upsets (MBUs). As MBUs constitute over 50% of the upsets in recent technologies, error correcting codes or physical interleaving are typically employed to effectively protect out-of-core memory structures, such as caches. Such methods, however, are not applicable to high performance in-core arrays, due to computational complexity, high delay, and area overhead. Therefore, we investigate vulnerability-based parity forest formation as an effective mechanism for detecting errors. Checkpointing and pipeline flushing can subsequently be used for correction. As the optimal parity tree construction for MBU detection is a computationally complex problem, an integer linear program formulation is introduced. In addition, vulnerability-based interleaving (VBI) is explored as a mechanism for further enhancing in-core array resiliency in constrained, single parity tree cases. VBI first physically disperses bitlines based on their vulnerability factor and then applies selective parity to these lines. Experimental results on Alpha 21264 and Intel P6 in-core memory arrays demonstrate that the proposed parity tree selection and VBI methods can achieve vulnerability reduction up to 86%, even when a small number of bits are added to the parity trees.
Recognition of adult video by combining skin detection features with motion information

This paper presents a novel approach for video adult detection using skin detection features with motion information. The goal of combining skin-color and motion information is to select the appropriate color model that allows verifying pixels under different lighting conditions and other variations. Then, the output videos are classified by neural network. The simulation shows that this system achieved 90% of the true rate.
A Proficient Way to Avert Malicious Transactions in Database Management System

In recent years database security has become one of the major issues in computer security. Database security is concerned with preventing unauthorized and malicious access into a database. A number of mechanisms needed to defend information, such as verification, user privileges, data encryption, and auditing, are available in DBMS. In reality, malicious access of databases by unauthorized users by detecting system vulnerabilities and unauthorized database transactions done by authorized users cannot be handled by a simple database security mechanism. So, Database Intrusion detection systems have turn out to be a crucial matter for computer systems security infrastructures. This paper raised a proficient mechanism to avert malicious transaction in the database indemnity system. Keyword — Database, Malicious, Intrusion, Benign, Transaction.
How intelligent are convolutional neural networks?

Motivated by the Gestalt pattern theory, and the Winograd Challenge for language understanding, we design synthetic experiments to investigate a deep learning algorithm's ability to infer simple (at least for human) visual concepts, such as symmetry, from examples. A visual concept is represented by randomly generated, positive as well as negative, example images. We then test the ability and speed of algorithms (and humans) to learn the concept from these images. The training and testing are performed progressively in multiple rounds, with each subsequent round deliberately designed to be more complex and confusing than the previous round(s), especially if the concept was not grasped by the learner. However, if the concept was understood, all the deliberate tests would become trivially easy. Our experiments show that humans can often infer a semantic concept quickly after looking at only a very small number of examples (this is often referred to as an "aha moment": a moment of sudden realization), and performs perfectly during all testing rounds (except for careless mistakes). On the contrary, deep convolutional neural networks (DCNN) could approximate some concepts statistically, but only after seeing many (x10^4) more examples. And it will still make obvious mistakes, especially during deliberate testing rounds or on samples outside the training distributions. This signals a lack of true "understanding", or a failure to reach the right "formula" for the semantics. We did find that some concepts are easier for DCNN than others. For example, simple "counting" is more learnable than "symmetry", while "uniformity" or "conformance" are much more difficult for DCNN to learn. To conclude, we propose an "Aha Challenge" for visual perception, calling for focused and quantitative research on Gestalt-style machine intelligence using limited training examples.
Decisions in Research Review Boards

This article examines how individual characteristics and choice of communication medium influence the acceptance of research proposals by institutional review boards. Lab experiments were used to assess subject decisions in simulated review board processes regarding four mock research proposals. Results indicate that participants were less likely to approve risky scientific research proposals than those with lower risk and fewer ethical issues, but still the evaluations varied. Females had less likelihood of approving risky scientific research with ethical concerns. When demographic characteristics were controlled, the visual presentation of proposals increased the odds that participants would approve high-risk scientific research. This study contributes to the review board reform debate by empirically examining how personal characteristics and communication medium influence board members' reviews of proposals.
An User-Driven Slight Ontology Framework Based on Meta-Ontology for Change Management

With the rapid development of e-government services, change management has become a main focus. Today, the most system management tasks are still performed manually. This can be easier error-made, high time-consuming and more human-needed. So we present a slight ontology framework (SOF) to solve it. It combines itself with business process modeling theory to make the process part of SOF and introduces the meta-modeling theory to analysis of the features of changes based on ontologies used to describe services for semi-automatic change management. Although we use e-government domain as the example, the approach is a general solution in other domains.
Active Class Discovery and Learning for Networked Data

With the recent explosion of social network applications, active learning has increasingly become an important paradigm for classifying networked data. While existing research has shown promising results by exploiting network properties to improve the active learning performance, they are all based on a static setting where the number and the type of classes underlying the networked data remain stable and unchanged. For most social network applications, the dynamic change of users and their evolving relationships, along with the emergence of new social events, often result in new classes that need to be immediately discovered and labeled for classification. This paper proposes a novel approach called ADLNET for active class discovery and learning with networked data. Our proposed method uses the Dirichlet process defined over class distributions to enable active discovery of new classes, and explicitly models label correlations in the utility function of active learning. Experimental results on two real-world networked data sets demonstrate that our proposed approach outperforms other state-of-the-art methods.
Rejection-based classification for action recognition using a spatio-temporal dictionary

This paper presents a method for human action recognition in videos which learns a dictionary whose atoms are spatio-temporal patches. We use these gray-level spatio-temporal patches to learn motion patterns inside the videos. This method also relies on a part-based human detector in order to segment and narrow down several interesting regions inside the videos without a need for bounding boxes annotations. We show that the utilization of these parts improves the classification performance. We introduce a rejection-based classification method which is based on a Support Vector Machine. This method has been tested on UCF sports action dataset with good results.
The nutritional status of patients admitted to Priest Hospital.

OBJECTIVES To determine the prevalence of malnutrition in the Buddhist Priest Patients on admission to Priest Hospital. MATERIAL AND METHOD During September 2007, 97 Buddhist Priest admitted to Priest Hospital were assessed for their nutritional status by using Subjective global assessment (SGA) and Body mass index (BMI). Serum albumin, hematocrit, and total lymphocyte count (TLC) were also evaluated. RESULT The status of Protein-calorie malnutrition was found to be 41.3% due to subjective global assessment and 39.2% due to body mass index. Overweight patient found to be 16.5%. There were 16.5%, 83.5% and 20.6% of patients who had serum albumin, hematocrit, and total lymphocyte count below acceptable level. CONCLUSION Malnutrition status in priests admitted to the Priest Hospital should be concerned and be properly managed for improved clinical outcome.
Young Children's Story Recall as a Product of Play, Story Familiarity, and Adult Intervention.

Two concerns in play research were addressed: the degree of adult intervention and the cognitive constructive nature of play. It was hypothesized that the de gree of adult intervention would not make a difference in play treatments and that thematic-fantasy play would serve to construct metalinguistic understand ings. Experiment 1, using 505 subjects, indicated that thematic-fantasy play ex periences facilitated ability to recall a story that was not acted out (p < .001). A significant Age X Treatment interaction (p < .05), indicating play was facilitative for younger subjects but not older, supported the hypothesis that young children gained metalinguistic "story" knowledge through thematic-fantasy play. Experi ment 2, with 340 subjects, replicated the play effect of Experiment 1 and exam ined the effects of adult intervention in play. Although play remained facilitative for recall (p < .001), no differences were found between facilitative and direc tive play intervention. A significant interaction between adult intervention and children's familiarity with the thematic-fantasy play story indicated that recall was aided by directive intervention for unfamiliar stories and facilitative inter vention for familiar stories.
Numerical solution of shock and ramp compression for general material properties

A general formulation was developed to represent material models for applications in dynamic loading. Numerical methods were devised to calculate response to shock and ramp compression, and ramp decompression, generalizing previous solutions for scalar equations of state. The numerical methods were found to be flexible and robust, and matched analytic results to a high accuracy. The basic ramp and shock solution methods were coupled to solve for composite deformation paths, such as shock-induced impacts, and shock interactions with a planar interface between different materials. These calculations capture much of the physics of typical material dynamics experiments, without requiring spatially-resolving simulations. Example calculations were made of loading histories in metals, illustrating the effects of plastic work on the temperatures induced in quasi-isentropic and shock-release experiments, and the effect of a phase transition.
The effect of 7.2% hypertonic saline solution on echocardiographic parameters of healthy horses.

REASONS FOR PERFORMING STUDY The cardiovascular effects and duration of action of hypertonic saline are not yet fully understood in the horse. OBJECTIVE To determine the effects of hypertonic saline on cardiac measurements derived from echocardiography over a period of 90 min after infusion in euvolaemic and healthy horses. STUDY DESIGN Experimental study. METHODS Five healthy conscious euvolaemic horses were infused with 5 ml/kg bwt hypertonic saline via a jugular catheter over 1 h. Immediately prior to infusion and at 0, 20, 40, 60 and 90 min after the completion of the infusion, echocardiographic images were obtained from the right parasternal window. The left ventricular internal diameter at end diastole and left ventricular internal diameter in peak systole were measured and ventricular volume measurements were calculated by the Teicholz method. Data were analysed using a mixed effects model, which included horse as a random effect. The effect of observation time was assessed accounting for correlation between observations. RESULTS Fractional shortening and ejection fraction increased significantly 40 min after completion of infusion. Left ventricular internal diameter at end diastole, end diastolic volume and stroke volume all followed the same pattern and were increased at 20, 40 and 60 min compared to preinfusion values. There were also significant differences between the 0 and 40, 40 and 90, 60 and 90 time points. Other parameters did not differ significantly between time points. CONCLUSIONS Hypertonic saline increases end-diastolic and stroke volume for approximately 1 h after completion of a 60 min infusion in euvolaemic horses. This adds to the evidence available to clinicians regarding the duration of action of hypertonic saline.