Miracle-dz/UniFAR-FTUs huggingface dataset:
ZUMA: An Open FPGA Overlay Architecture

This paper presents the ZUMA open FPGA overlay architecture. It is an open-source, cross-compatible embedded FPGA architecture that is intended to overlay on top of an existing FPGA, in essence an ”FPGA-on-an-FPGA. ” This approach has a number of benefits, including bitstream compatibility between different vendors and parts, compatibility with open FPGA tool Hows, and the ability to embed some programmable logic into systems on FPGAs without the need for releasing or recompiling the master netlist. These options can enhance design possibilities and improve designer productivity. Previous attempts to map an FPGA architecture into a commercial FPGA have had an area penalty of 100x at best [4]. Through careful architectural and implementation choices to exploit low-level elements of the host architecture, ZUMA reduces this penalty to as low as 40x. Using the VTR (VPR6) academic tool How, we have been able to compile the entire MCNC benchmark suite to ZUMA. We invite authors of other tool Hows to target ZUMA.
An Optimization Model and Approach to the Large Complex System Based on Data Mining

For the complex system running in multi operation condition, especially the system dynamics changes suddenly from one kind of working condition to another, the controller designed is no longer valid under the premise of the same model. An optimization model and approach are proposed to the large complex system based on the data mining technique. Experimental results suggest that this technology is feasible, correct and valid. Experimental results and trend analysis has many practical significance for improving the performance of large complex systems.
Playing video games and cognitive effects: Teenagers' thinking skills and strategies

The study examines a dominant aspect of youth culture: playing video computer games. The study is interested in the recreational video game as a means of informal cognitive education. Centered within an information processing theory and introspection methodological framework, the study investigates via stimulated recall methods the thinking skills and strategies used by two teenagers when playing an action-adventure video computer game. The players used a wide range of cognitive processes that are valued in schools such as: metacognition, prediction, justification, inductive and deductive reasoning, strategy planning, and parallel processing.
Detection and prediction of distance-based outliers

In this paper we present an unsupervised distance-based outlier detection method designed to learn a model over the objects contained in a data set. The learned model, called solving set, is a small subset of the data set that is used to classify new unseen objects as outliers or not. We provide an algorithm that computes a solving set with sub-quadratic time requirements, and we give experimental evidence that the computed solving set is small and that the false positive rate, i.e. the fraction of new objects misclassified as outliers using the solving set instead of the overall data set, is negligible.
Analytical Psychology: Contemporary Perspectives in Jungian Analysis

Zabriskie, Introduction. Kirsch, History of Analytical Psycholog Hogenson, Archetypes: Emergence and the Psyche's Deep Structure. Knox, Developmental Aspects of Analytical Psychology: New Perspectives from Cognitive Neuroscience and Attachment Theory. Cambray, Carter, Analytic Methods Revisited. Wiener, Transference and Countertransference: Contemporary Perspectives. Beebe, Understanding Consciousness Through the Theory of Psychological Types. Singer, Kimbles, The Emerging Theory of Cultural Complexes. Stein, Spiritual and Religious Aspects of Modern Analysis. Cambray, Synchronicity as Emergence. Solomon, The Ethical Attitude in Analytic Training and Practice: Archetypal and Developmental Perspective and Implications for Continuing Professional Development.
Exploring Your Research : Sprinkling some Saffron on Semantic Web Dog Food

Saffron is an application that provides users valuable insight into a research community or organisation. It makes use of several heterogeneous information sources that are under diverse ownership and control: it combines structured data from various sources on the Web with information extracted from unstructured documents using Natural Language Processing techniques to show the user a personalised view of the most important expertise topics, researchers and publications. Saffron also applies semantic technology in a novel way that goes beyond pure information retrieval: the system recommends mutual contacts (both professional and social) to the user, who would be able to broker a meaningful “shortcut” introduction to an expert. An explicit design process has resulted in an attractive and functional Web interface which provides users with an experience that goes beyond a research prototype. Rigorous evaluations have taken place that demonstrate the benefits of semantic technologies and validate the results obtained.
Low Physical Activity and High Screen Time Can Increase the Risks of Mental Health Problems and Poor Sleep Quality among Chinese College Students

Objective To test the independent and interactive associations of physical activity (PA) and screen time (ST) with self-reported mental health and sleep quality among Chinese college students. Method Data were collected in October, 2013. The gender, age, residential background, body mass index (BMI), perceived family economy and perceived study burden were obtained from a total of 4747 college students (41.6% males and 58.4% females). The outcomes were self-reported PA status, ST, anxiety, depression, psychopathological symptoms and sleep quality. Analyses were conducted with logistic regression models. Results Overall, 16.3%, 15.9% and 17.3% of the students had psychological problems, such as anxiety, depression and psychopathological symptoms, respectively. The prevalence of poor sleep quality was 9.8%. High ST was significantly positively associated with anxiety (OR=1.38, 95%CI: 1.15-1.65), depression (OR=1.76, 95%CI: 1.47-2.09), psychopathological symptoms (OR=1.69, 95%CI: 1.43-2.01) and poor sleep quality (OR=1.32, 95%CI: 1.06-1.65). High PA was insignificantly negatively associated with anxiety, depression, psychopathological symptoms and poor sleep. Low PA and high ST were independently and interactively associated with increased risks of mental health problems and poor sleep quality (p<0.05 for all). Conclusion Interventions are needed to reduce ST and increase PA in the lifestyles of young people. Future research should develop and measure the impacts of interventions and their potential consequences on sleep, health, and well being.
Using Constraint Satisfaction for View Update Translation

View update is the problem of translating update requests against a view into update requests against the base data. In this paper, we present a novel approach to this problem in relational databases. Using conditional tables to represent relational views, we translate a view update problem into a disjunction of a number of constraint satisfaction problems (CSPs). Solutions to the CSPs correspond to possible translations of the view update. Semantic information to resolve ambiguity can be handled as additional constraints in the CSPs. This approach enables us to apply the rich results of the CSP research to analyze and solve an important problem in database management.
Search-based Planning : A Method for Character Behaviour

In this paper we present experiments with search-based planning as the most generic description of intelligent behaviour for virtual actors. Using a MinMin heuristic search-based planner (HSP), we demonstrate how this can be used to generate efficient plans (in terms of plan length), and how the production of these minimum length plans is performed in times suitable for the real-time 3D virtual environments. Using an extension to the classical 'dinner-date' problem, we illustrate the planning and action execution undertaken by the virtual actor.
Diagnostic efficacy of ultrasound in hepatocellular carcinoma diagnosis

Hepatocellular carcinoma (HCC) is the fifth most common cancer and the third leading cause of cancer-related death. Surviving HCC is mainly influenced by the stages of disease at the time of diagnosis [1,2]. Ultrasound (US) is a simple, noninvasive tool with no risk of radiation exposure. The advantages of US include being inexpensive, safe, and having high accessibility. Conventional US is usually used as the first choice for the surveillance of HCC. The development of contrast-enhanced US (CEUS) has promise in increasing the diagnostic accuracy of HCC. Based on current evidence, the authors review the diagnostic efficacy of US in HCC diagnosis.
The Persistence of Privacy: Autonomy and Initiative in Teachers' Professional Relations

The present enthusiasm for teacher collaboration has spawned a wide array of practical experiments. These range from various forms of coaching and consultation to shared decision making, interdisciplinary teams, subject discipline “collaboratives,” and more. It is precisely this plethora of specially designed arrangements-the fact that they are so designated-that compels attention. How central or peripheral are teachers’ relations with colleagues to their success and satisfaction with students, their engagement in their present work, and their commitment to a career in teaching? What is the contribution that teachers’ collegial involvement makes to the quality of the work force and the productivity of schools? The term collegiality has remained conceptually amorphous and ideologically sanguine. Advocates have imbued it with a sense of virtue-the expectation that any interaction that breaks the isolation of teachers will contribute in some fashion to the knowledge, skill, judgment, or commitment that individuals bring to their work, and will enhance the collective capacity of groups or institutions. Researchers have ascribed various benefits to teacher collaboration, among them student achievement in inner-city schools, teacher morale in times of stress, support for innovation, and an easing of the “reality shock” visited on beginning teachers. ’ When I attend closely to the accounts of teachers’ professional relationships that have accumulated over the past decade, however, I am confronted by certain inescapable conclusions. A few schools stand out for the achievements wrought collectively by their faculties but much “that passes for collegiality does not add up to much. “’ Teachers’ collaborations sometimes serve the purposes of well-conceived change, but the assumed link between increased collegial contact and improvement-oriented change does not seem to be warranted: Closely bound groups are instruments both for promoting change and for conserving the present. Changes, indeed, may prove sub-
Adherence to Cancer Prevention Guidelines and Cancer Risk in Low-Income and African American Populations

Background: The American Cancer Society (ACS) publishes behavioral guidelines for cancer prevention, including standards on body weight, physical activity, nutrition, alcohol, and tobacco use. The impact of these guidelines has been rarely studied in low-income and African American populations. Methods: The study included 61,098 racially diverse, mainly low-income adults who participated in the Southern Community Cohort Study and were followed for a median of 6 years. Cox models were used to estimate HRs for cancer incidence associated with behaviors and with an ACS physical activity/nutrition 0-to-4 compliance score indicating the number of body weight, physical activity, healthy eating, and alcohol guidelines met. Results: During the study period, 2,240 incident cancers were identified. Significantly lower cancer incidence was found among never smokers and non/moderate alcohol drinkers, but not among those meeting guidelines for obesity, physical activity, and diet. The ACS compliance score was inversely associated with cancer risk among the 25,509 participants without baseline chronic disease. HRs for cancer incidence among those without baseline chronic diseases and who met one, two, three, or four guidelines versus zero guidelines were 0.93 (95% confidence intervals, 0.71–1.21), 0.85 (0.65–1.12), 0.70 (0.51–0.97), and 0.55 (0.31–0.99), respectively. Associations were consistent in analyses stratified by sex, race, household income, and smoking status. Conclusions: Meeting the ACS smoking and body weight/physical activity/dietary/alcohol guidelines for cancer prevention is associated with reductions in cancer incidence in low-income and African American populations. Impact: This study provides strong evidence supporting lifestyle modification to lower cancer incidence in these underserved populations. Cancer Epidemiol Biomarkers Prev; 25(5); 846–53. ©2016 AACR.
Maximum mutual information speaker adapted training with semi-tied covariance matrices

We present re-estimation formulae for semi-tied covariance (STC) transformation matrices based on a maximum mutual information (MMI) criterion. These re-estimation formulae are different from those that have appeared previously in the literature. Moreover, we present a positive definiteness criterion with which the regularization constant present in all NMI re-estimation formulae can be reliably set to provide both consistent improvements in the total mutual information of the training set, as well as fast convergence. We combine the STC re-estimation formulae with their like for speaker-independent means and variances, and update all parameters during NMI speaker adapted training (MMI-SAT). We present the results of two sets of speech recognition experiments conducted on the the 1998 Broadcast News evaluation set, as well as a corpus of meeting room data collected at the Interactive Systems Laboratories of the Carnegie Mellon University.
Understanding the nature of science and scientific progress: A theory-building approach

In 1993 Carey and Smith conjectured that the most promising way to boost students’ understanding of the nature of science is a “theory-building approach to teaching about inquiry. ” The research reported here tested this conjecture by comparing results from two Grade 4 classrooms that differed in their emphasis on and technological support for creating and improving theories. One class followed a Knowledge Building approach and used Knowledge Forum®, which together emphasize theory improvement and sustained creative work with ideas. The other class followed an inquiry approach mediated through collaborative project-based activities. Apart from this, the two classes were demographically similar and both fell within the broad category of constructivist, inquiry-based approaches and employed a range of modes and media for investigative research and reports. An augmented version of Carey and Smith’s Nature of Science Interview showed that the Knowledge Building approach resulted in deeper understanding of the nature of theoretical progress, the connections between theories and facts, and the role of ideas in scientific inquiry.
Bis{2-[3-(hydroxyimino-κN)butan-2-ylidene]-N-methylhydrazinecarbothioamide-κ2 N 2,S}nickel(II) dichloride

The asymmetric unit of the title compound, [Ni(C6H12N4OS)2]Cl2, contains two independent NiII complex cations and four chloride anions. Each NiII ion is six-coordinated in a distorted octahedral geometry by four N atoms from the two imine and two oxime groups and two S atoms from the thione group. In the crystal, the cations and anions are linked through N—H⋯Cl and O—H⋯Cl hydrogen bonds into infinite chains propagating along [10]. Weak intermolecular C—H⋯O and C—H⋯Cl hydrogen bonds are also observed.
Parmesan: Meteor without Paraphrases with Paraphrased References

This paper describes Parmesan, our submission to the 2014 Workshop on Statistical Machine Translation (WMT) metrics task for evaluation English-to-Czech translation. We show that the Czech Meteor Paraphrase tables are so noisy that they actually can harm the performance of the metric. However, they can be very useful after extensive filtering in targeted paraphrasing of Czech reference sentences prior to the evaluation. Parmesan first performs targeted paraphrasing of reference sentences, then it computes the Meteor score using only the exact match on these new reference sentences. It shows significantly higher correlation with human judgment than Meteor on the WMT12 and WMT13 data.
Deep Least Squares Regression for Speaker Adaptation

Recently, speaker adaptation methods in deep neural networks (DNNs) have been widely studied for automatic speech recognition. However, almost all adaptation methods for DNNs have to consider various heuristic conditions such as mini-batch sizes, learning rate scheduling, stopping criteria, and initialization conditions because of the inherent property of a stochastic gradient descent (SGD)-based training process. Unfortunately, those heuristic conditions are hard to be properly tuned. To alleviate those difficulties, in this paper, we propose a least squares regression-based speaker adaptation method in a DNN framework utilizing posterior mean of each class. Also, we show how the proposed method can provide a unique solution which is quite easy and fast to calculate without SGD. The proposed method was evaluated in the TED-LIUM corpus. Experimental results showed that the proposed method achieved up to a 4.6% relative improvement against a speaker independent DNN. In addition, we report further performance improvement of the proposed method with speaker-adapted features.
Sales Force Automation and Sales Performance: Do Experience and Expertise Matter?

We examined the effect of using a knowledge management–based sales force automation (SFA) system on the sales performance of 1,340 sales representatives. We found that SFA system use was directly related to performance—the more knowledge documents that sales representatives read, the more likely they were to exceed their quota. Expertise moderated this relationship. Sales representatives who exceeded their sales quota in the previous year derived significantly greater benefit from SFA system use than did other sales representatives.
Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction

In this paper, we propose methods to extract the motion of papillary muscles from high resolution CT images, and quantitatively characterize them by extracting spatio-temporal skeletons. This method first reconstructs and visualizes detailed models of papillary muscles using a two-stage coarse-to-fine registration. To describe the model's shape and motion effectively and efficiently, high level abstractions of the models, i.e., the skeletons, are extracted with spatial and temporal constraints. Several skeleton-based indices are proposed to analyze the changes of model shapes and motions during a heart cycle. The experimental results show the robustness and efficiency of spatio-temporal skeletons, and the proposed indices are capable to demonstrate the differences between healthy and hypertrophic papillary muscles.
Performance Evaluation of Heart Sound Cancellation in FPGA Hardware Implementation for Electronic Stethoscope

This paper presents the design and evaluation of the hardware circuit for electronic stethoscopes with heart sound cancellation capabilities using field programmable gate arrays (FPGAs). The adaptive line enhancer (ALE) was adopted as the filtering methodology to reduce heart sound attributes from the breath sounds obtained via the electronic stethoscope pickup. FPGAs were utilized to implement the ALE functions in hardware to achieve near real-time breath sound processing. We believe that such an implementation is unprecedented and crucial toward a truly useful, standalone medical device in outpatient clinic settings. The implementation evaluation with one Altera cyclone II–EP2C70F89 shows that the proposed ALE used 45% resources of the chip. Experiments with the proposed prototype were made using DE2-70 emulation board with recorded body signals obtained from online medical archives. Clear suppressions were observed in our experiments from both the frequency domain and time domain perspectives.
A Geometric Graph Model of Citation Networks with Linearly Growing Node-Increment

Due to the fact that the numbers of annually published papers have witnessed a linear growth in some citation networks, a geometric model is thus proposed to predict some statistical features of those networks, in which the academic influence scopes of the papers are denoted through specific geometric areas related to time and space. In the model, nodes (papers) are uniformly and randomly sprinkled onto a cluster of circles of the Minkowski space whose centers are on the time axis. Edges (citations) are linked according to an influence mechanism which indicates that an existing paper will be cited by a new paper located in its influence zone. Considering the citations among papers in different disciplines, an interdisciplinary citation mechanism is added to the model in which some papers with a small probability of being chosen will cite some existing papers randomly and uniformly. Different from most existing models that only study the power-law tail of the in-degree distribution, this model also characterizes the overall in-degree distribution. Moreover, it presents the description of some other important statistical characteristics of real networks, such as in- and out-assortativity, giant component and clear community structure. Therefore, it is reasonable to believe that a good example is provided in the paper to study real networks by geometric graphs.
Comparative Immune Phenotypic Analysis of Cutaneous Squamous Cell Carcinoma and Intraepidermal Carcinoma in Immune-Competent Individuals: Proportional Representation of CD8+ T-Cells but Not FoxP3+ Regulatory T-Cells Is Associated with Disease Stage

Squamous Cell Carcinoma (SCC) is a type of non-melanoma skin cancer prevalent in immune-suppressed transplant recipients and older individuals with a history of chronic sun-exposure. SCC itself is believed to be a late-stage manifestation that can develop from premalignant lesions including Intraepidermal Carcinoma (IEC). Notably, while SCC regression is rare, IEC typically regresses in response to immune modifying topical treatments, however the underlying immunological reasons for these differential responses remain unclear. This study aimed to define whether IEC and SCC are associated with distinct immune profiles. We investigated the immune cell infiltrate of photo-damaged skin, IEC, and SCC tissue using 10-colour flow cytometry following fresh lesion digest. We found that IEC lesions contain higher percentages of CD3+ T-cells than photo-damaged skin, however, the abundance of CD3−CD56+ Natural Killer (NK) cells, CD11c+HLA-DR+ conventional Dendritic Cells (cDC), BDCA-2+HLA-DR+ plasmacytoid DC (pDC), FoxP3+ Regulatory T-cells (T-reg), Vα24+Vβ11+ invariant NKT-cells, and γδ Tcells did not alter with disease stage. Within the total T-cell population, high percentages of CD4+ T-cells were associated with SCC, yet CD8+ T-cells were less abundant in SCC compared with IEC. Our study demonstrates that while IEC lesions contain a higher proportion of T-cells than SCC lesions in general, SCC lesions specifically display a lower abundance of CD8+ T-cells than IEC. We propose that differences in CD8+ T-cell abundance contribute critically to the different capacity of SCC and IEC to regress in response to immune modifying topical treatments. Our study also suggests that a high ratio of CD4+ T-cells to CD8+ T-cells may be a immunological diagnostic indicator of late-stage SCC development in immune-competent patients.