Miracle-dz/UniFAR-FTUs huggingface dataset:
Transforming teachers' temporality: futures in curriculum practices

There is much rhetoric around the notion that schools educate for the future. This research is an interrogation of the ways in which explicit futures time perspectives exists within school practices. This study investigates the ways in which these perspectives appear within curriculum documents and do/do not influence the ways that teachers think about, and plan for, student learning. Moreover, through ongoing and supported professional learning, this research identifies the ways in which teacher practice and student learning is transformed through increased temporal consciousness. This study has sought to identify and examine the ways in which futures and temporality influence schools and school curricula and the ways in which schools and school curricula influence teachers’ perceptions and enactment of futures and temporality. It was framed within the contexts of:  Invisible fields of study within mainstream educational practices: futures education and futures studies  Psychological understandings about how human capacities of temporality and time perspectives develop  Curriculum documents which demonstrate temporal bias in the ways they are traditionally oriented towards the past, yet simultaneously claim a role in educating for the future  A school with a time machine which did not go to the future (Wooranna Park Primary School). This research is based on an individual case study undertaken at Wooranna Park Primary School, Dandenong North, Victoria, Australia. It incorporates the perspectives and experiences of six teachers situated within the Grade 5/6 Autonomous Learning Unit [ALU]. In this study, the participant action researcher facilitated two types of targeted professional learning to increase the teachers’ futures consciousness and understandings of how futures studies could occur within a learning environment. In the first instance, through directed Professional Development [PD] the teachers were introduced to the field of futures studies. Through this PD
General covariance and supersymmetry without supersymmetry.

An unusual four-dimensional generally covariant and supersymmetric SU(2) gauge theory is described. The theory has local degrees of freedom, and is invariant under a local (left-handed) chiral supersymmetry, which is half the supersymmetry of supergravity. The Hamiltonian 3 + 1 decomposition of the theory reveals the remarkable feature that the local supersymmetry is a consequence of Yang-Mills symmetry, in a manner reminiscent of how general coordinate invariance in Chern-Simons theory is a consequence of Yang-Mills symmetry. It is possible to write down an infinite number of conserved currents, which strongly suggests that the theory is classically integrable. A possible scheme for nonperturbative quantization is outlined. This utilizes ideas that have been developed and applied recently to the problem of quantizing gravity.
Genome-Wide Association Study Identifies Two Major Loci Affecting Calving Ease and Growth-Related Traits in Cattle

Identifying quantitative trait loci (QTL) underlying complex, low-heritability traits is notoriously difficult. Prototypical for such traits, calving ease is an important breeding objective of cattle (Bos taurus)-improving programs. To identify QTL underlying calving ease, we performed a genome-wide association study using estimated breeding values (EBVs) as highly heritable phenotypes for paternal calving ease (pCE) and related traits. The massively structured study population consisted of 1800 bulls of the German Fleckvieh (FV) breed. Two pCE-associated regions on bovine chromosomes (BTA) 14 and 21 (P = 5.72 × 10−15 and P = 2.27 × 10−8, respectively) were identified using principal components analysis to correct for population stratification. The two most significantly associated SNPs explain 10% of the EBV variation. Since marker alleles with negative effect on pCE have positive effects on growth-related traits, the QTL may exert their effects on the birthing process through fetal growth traits. The QTL region on BTA14 corresponds to a human chromosome (HSA) region that is associated with growth characteristics. The HSA region corresponding to the BTA21 pCE QTL is maternally imprinted and involved in the Prader–Willi and Angelman syndromes. Resequencing of positional candidate genes on BTA14 revealed a highly significantly (P = 1.96 × 10−14) associated polymorphism ablating a polyadenylation signal of the gene encoding ribosomal protein S20 (RPS20). Our study demonstrates the leverage potential of EBVs in unraveling the genetic architecture of lowly heritable traits.
Effects of brief stimulus duration on the amplitude of the occipital late positive component associated with verbal and non-verbal tasks

Amplitude characteristics of visually evoked potentials to alphanumeric and checkerboard stimuli were examined in this experiment. Subjects, 17 male college students, were exposed to a series of trials consisting of the presentation of seven successive stimuli-a warning stimulus (WS) followed by a first triplet of three identical stimuli (stimulus positions 1-3) and a second triplet of another three identical stimuli (position 4-6). A subject's task was either to report the numbers presented (verbal task) or match the checkerboard patterns (non-verbal task) in the two triplets. Each stimulus was illuminated by two 20 is discharges of xenon tubes with the interval of either 25 or 50 ms. Analysis of occipital P260 amplitudes revealed significant differences between WS and position 1 for both alphanumeric and checkerboard stimuli when the interval between two 20 ps discharges was 50 ms but not when it was 25 ms. These fi ndings indicated that there may be a critical interval between 25 and 50 ms which is effective in producing task specific perceptual activities at position 1.
Efficient Authentication and Key Management Mechanisms for Smart Grid Communications

A smart grid (SG) consists of many subsystems and networks, all working together as a system of systems, many of which are vulnerable and can be attacked remotely. Therefore, security has been identified as one of the most challenging topics in SG development, and designing a mutual authentication scheme and a key management protocol is the first important step. This paper proposes an efficient scheme that mutually authenticates a smart meter of a home area network and an authentication server in SG by utilizing an initial password, by decreasing the number of steps in the secure remote password protocol from five to three and the number of exchanged packets from four to three. Furthermore, we propose an efficient key management protocol based on our enhanced identity-based cryptography for secure SG communications using the public key infrastructure. Our proposed mechanisms are capable of preventing various attacks while reducing the management overhead. The improved efficiency for key management is realized by periodically refreshing all public/private key pairs as well as any multicast keys in all the nodes using only one newly generated function broadcasted by the key generator entity. Security and performance analyses are presented to demonstrate these desirable attributes.
Implementation of real-time system on FPGA board for human's face detection and tracking author

Face detection and tracking has been an important and an active research field because it offers many applications, especially in video surveillance, biometrics, or video coding. The goal of this project was to implement a real-time system on an FPGA board to detect and track a human face. The face detection algorithm involved color-based skin segmentation and image filtering. The face location was determined by calculating the centroid of the detected region. A software version of the algorithm was independently implemented and tested on still pictures in MATLAB. Although the transition from MATLAB to Verilog was not as smooth as expected, experimental results proved the accuracy and effectiveness of the real-time system, even under varying conditions of lights, facial poses and skin colors. All calculation of the hardware implementation was done in real time with minimal computational effort, thus suitable for power-limited applications.
Application of learning to rank to protein remote homology detection

MOTIVATION Protein remote homology detection is one of the fundamental problems in computational biology, aiming to find protein sequences in a database of known structures that are evolutionarily related to a given query protein. Some computational methods treat this problem as a ranking problem and achieve the state-of-the-art performance, such as PSI-BLAST, HHblits and ProtEmbed. This raises the possibility to combine these methods to improve the predictive performance. In this regard, we are to propose a new computational method called ProtDec-LTR for protein remote homology detection, which is able to combine various ranking methods in a supervised manner via using the Learning to Rank (LTR) algorithm derived from natural language processing. RESULTS Experimental results on a widely used benchmark dataset showed that ProtDec-LTR can achieve an ROC1 score of 0.8442 and an ROC50 score of 0.9023 outperforming all the individual predictors and some state-of-the-art methods. These results indicate that it is correct to treat protein remote homology detection as a ranking problem, and predictive performance improvement can be achieved by combining different ranking approaches in a supervised manner via using LTR. AVAILABILITY AND IMPLEMENTATION For users' convenience, the software tools of three basic ranking predictors and Learning to Rank algorithm were provided at http://bioinformatics.hitsz. edu.cn/ProtDec-LTR/home/ CONTACT bliu@insun.hit. edu.cn SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
The Q uest for C ompetitive S ustainability : From T echnology S ourcing to K nowledge M anagement

This study undertakes an analysis of external sourcing of knowledge by biotechnology companies. It suggests that biotechnology companies need to be more realistic about R&D operational models in a context where technological changes are only incremental and companies based solely on single technology platforms are highly inefficient. It is argued that in order to build, preserve or enhance their knowledge creation capabilities in a fast changing environment, firms increasingly combine internal ‘‘core’’ capabilities with externally acquired ‘‘complementary’’ ones. Knowledge creation requires in reaching the right balance between exploration and exploitation. It consists of activities within the firm in order to create knowledge from its own experience and from the experience of other firms, and on the exploitation of that knowledge to fulfill the mission of the firm. Thus, a biotechnology company’s ability to choose technologies wisely will have a large impact on the performance of its R&D organization in terms of time to market, productivity, and product quality.
Can mass loss and overshooting prevent the excitation of g‐modes in blue supergiants?

Thanks to their past history on the main-sequence phase, supergiant massive stars develop a convective shell around the helium core. This intermediate convective zone (ICZ) plays an essential role in governing which g-modes are excited. Indeed, a strong radiative damping occurs in the high-density radiative core but the ICZ acts as a barrier preventing the propagation of some g-modes into the core. These g-modes can thus be excited in supergiant stars by the κ-mechanism in the superficial layers due to the opacity bump of iron, at log T = 5.2. However, massive stars are submitted to various complex phenomena such as rotation, magnetic fields, semiconvection, mass loss, overshooting. Each of these phenomena exerts a significant effect on the evolution and some of them could prevent the onset of the convective zone. We develop a numerical method which allows us to select the reflected, thus the potentially excited, modes only. We study different cases in order to show that mass loss and overshooting, in a large enough amount, reduce the extent of the ICZ and are unfavourable to the excitation of g-modes.
Metaphors of Terror

In These Times September 17, 2001 Metaphors of Terror by George Lakoff 1: Our Brains Had to Change Everything we know is physically instantiated in the neural system of our brains. What we knew before September 11 about America, Manhattan, the World Trade Center, air travel, and the Pentagon was intimately tied up with our identities and with a vast amount of what we took for granted about everyday life. It was all there physically in our neural synapses. Manhattan: the gateway to America for generations of immigrants—the chance to live free of war, pogroms, religious and political oppression! The Manhattan skyline had meaning in my life, even more than I knew. When I thought of it, I thought of my mother. Born in Poland, she arrived as an infant, grew up in Manhattan, worked in factories for twenty-five years, and had family, friends, a life, a child. She didn't die in concentration camps. She didn't fear for her life. America was not all that she might have wanted it to be, but it was plenty. I grew up in Bayonne, N.J., across the bay from that skyline. The World Trade Center wasn't there then, but over the years, as the major feature of the skyline, it became for me as for others the symbol of New York—not only of the business center of America, but also the cultural center and the communications center. As such, it became a symbol for America itself—a symbol for what it meant to be able go about your everyday life free of oppression and just do your job and live your life, whether as a secretary or an artist, a manager or a fireman, a salesman or a teacher or a TV star. I wasn't consciously aware of it, but those images were intimately tied to my identity, both as me and as an American. And all that and so much more was there physically as part of my brain on the morning of September 11. The devastation that hit those towers that morning hit me. Buildings are metaphorically people. We see features—eyes, nose, and mouth—in their windows. I now realize that the image of the plane going into South Tower was for me an image of a bullet going through someone's head, the flame pouring from the other side blood spurting out. It was an assassination. The tower falling was a body falling. The bodies falling were me, relatives, friends. Strangers who had smiled as they had passed me on the street screamed as they fell past me. The image afterward was hell: ash, smoke, and steam rising, the building skeleton, darkness, suffering, death.
The Effects of Property and Contractual Rights on Economic Performance by

This study augments the neoclassical growth model proposed by Mankiw, Romer, and Weil (1992) to analyze the effects of the property rights protection on the levels of economic performance, measured by per capita GDP, across countries. The augmented model predicts that (1) the accumulation of physical and human capital, and therefore the level of per capita GDP in a country, is positively related with the degree of property rights protection as well as with the saving rates and (2) the effects of the saving rates on the level of per capita GDP in a country are positively related with the degree of property rights protection. Empirical evidence shows that the predictions of the augmented model are consistent with the variations in the levels of per capita GDP across countries.
Reward Processing Following Mindfulness-Based Cognitive Therapy and Cognitive-Behavioral Therapy for Wellbeing

The aim of this study was to examine: (a) treatment-related changes in the reward system following two interventions designed to prevent the recurrence of depression, MindfulnessBased Cognitive Therapy (MBCT) and Cognitive Behavioral Therapy with Wellbeing focus (CBT-WB); (b) changes following treatment that relate to relapse status at a two-year follow-up. Previously depressed patients were randomly assigned to 8-week MBCT (N=43) or CBT-WB (N=34) and scanned using fMRI while completing a card gambling task before and after treatment. Whole-brain analyses found that an increased neural sensitivity in the reward system following treatment to winning trials (outcome phase) and reduced sensitivity to the anticipation of a win were associated with relapse status. Differences between interventions were found for the anticipatory phases of winning. Overall, these findings suggest that maintenance interventions may derive their therapeutic effects from preserving baseline responses, rather than heightening reward sensitivity to outcome. REWARD PROCESSING AND RELAPSE IN MBCT CBT iii Table of
Investigating the Moderating Effects of Age of Joint Venture in the Relationship between Relationship Characteristics and Degree of Inter-Firm Technology Transfer

The main objective of this paper is to empirically examine the moderating effect of age of joint venture in therelationships between relationship characteristics: relationship quality and mutual trust and two distinctdimensions of degrees of technology transfer: degrees of tacit and explicit knowledge within IJVs. Using themoderated multiple regression (MMR), the theoretical models and hypotheses in this study were tested based onempirical data gathered from 128 joint venture companies registered with the Registrar of Companies ofMalaysia (ROC). The results revealed that age of JVs has significantly affected the relationship betweenrelationship characteristics (relationship quality and mutual trust) and degree of tacit knowledge; where therelationship was found stronger for young JVs than old JVs. However, age of JVs did not significantly moderatethe relationship between relationship characteristics and degree of explicit knowledge. The study has bridged theliterature gaps in such that it offers empirical evidence and new insights on the moderating effect of age of jointventures in the relationships between relationship characteristics and two distinct degrees of technology transfer:degrees of tacit and explicit knowledge using the Malaysian sample.
Palmprint Biometrics using Feed Forward Back Propagation Neural Network

biometric system provides more efficient and reliable means of identity verification. By this biometric verification it can be decided whether print based identity verification system has been widely used in various applications like access control, two characteristics belongs to the same person or not. Human palm print images contain some unique objects that can easily identify people, which make it a very competitive topic in biometric research. This paper proposes a new method for human identification using palm print based biometrics. In this approach, first of all, the images of the palm are to be captured using digital camera. Then extract some special features for palm print images of human using image processing. Here special region based features are extracted that are more efficient. Dataset is to be created for using such features. Neural network is used here for the similarity matching. Back propagation algorithm is used here.
Fusing Multiple Features for Depth-Based Action Recognition

Human action recognition is a very active research topic in computer vision and pattern recognition. Recently, it has shown a great potential for human action recognition using the three-dimensional (3D) depth data captured by the emerging RGB-D sensors. Several features and/or algorithms have been proposed for depth-based action recognition. A question is raised: Can we find some complementary features and combine them to improve the accuracy significantly for depth-based action recognition? To address the question and have a better understanding of the problem, we study the fusion of different features for depth-based action recognition. Although data fusion has shown great success in other areas, it has not been well studied yet on 3D action recognition. Some issues need to be addressed, for example, whether the fusion is helpful or not for depth-based action recognition, and how to do the fusion properly. In this article, we study different fusion schemes comprehensively, using diverse features for action characterization in depth videos. Two different levels of fusion schemes are investigated, that is, feature level and decision level. Various methods are explored at each fusion level. Four different features are considered to characterize the depth action patterns from different aspects. The experiments are conducted on four challenging depth action databases, in order to evaluate and find the best fusion methods generally. Our experimental results show that the four different features investigated in the article can complement each other, and appropriate fusion methods can improve the recognition accuracies significantly over each individual feature. More importantly, our fusion-based action recognition outperforms the state-of-the-art approaches on these challenging databases.
Comparison of percutaneous cryosurgery and surgical resection for the treatment of small hepatocellular carcinoma

The present study aimed to compare the outcome of percutaneous cryosurgery (PC) with surgical resection (SR) in the treatment of solitary, small hepatocellular carcinoma (HCC), by performing a retrospective cohort study on 82 patients with solitary HCCs who had received either PC (24 patients) or SR (58 patients). All patients underwent pretreatment blood chemistry tests and an imaging evaluation and were regularly followed up with blood and radiological tests following treatment at The Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. The primary endpoint was overall survival (OS) and the secondary endpoints were those of recurrence-free survival (RFS) and adverse events. In the study, the one-, three- and five-year OS rates following surgery were 100, 75.00 and 66.67%, respectively, in the PC group, and 100, 77.59 and 70.69%, respectively, in the SR group. The corresponding RFS rates at one, three and five years after PC and SR were 83.33, 45.83 and 29.17%, respectively, in the PC group and 84.48, 48.28 and 32.76%, respectively, in the SR group. There were no significant differences between these two groups in terms of OS and RFS. There were also no significant differences between the two groups in terms of OS and RFS when comparing the patients with liver cirrhosis (LC) in the PC group (n=16) and the patients with LC (n=39) in the SR group. No significant factors were identified in the multivariate analysis of the risk factors contributing to OS and RFS. Although there were no statistically significant differences between the two groups in terms of the rate of serious adverse events (P=0.82), the incidence of serious adverse events in the SR group was noticeably higher compared with the PC group. Moreover, the duration of hospitalization in the SR group was significantly longer compared with the PC group (P<0.01). These results suggested that PC is as effective as SR in the treatment of solitary, small HCC, while being less invasive, with a shorter duration of hospitalization and a reduction in patient expenditure compared with SR. Thus, PC may be the first choice for the treatment of solitary, small HCC.
Design and Analysis of a Fault-Tolerant Web Retrieval Algorithm

In this paper we describe an algorithm which allows users to access documents over replicated World Wide Web Servers in a fault-tolerant way. The algorithm breaks the request for a Web document W , which is assumed to be replicated among N different servers, into N requests such that any K replies are sufficient to reconstruct the whole page. In this way, the algorithm downloads the document from the K fastest servers. The impact of the value of K on the performances of the retrieval algorithm is evaluated using a simple analytical model for the network connections between the client machine and the servers. Results show that, under the model’s assumptions, a correctly tuned value for K can improve significantly the probability of completing earlier the transfer of W .