Miracle-dz/UniFAR-FTUs huggingface dataset:
Feasibility of retrofitting centralized HVAC systems for room-level zoning

Heating, ventilation, and cooling (HVAC) accounts for 38% of building energy usage, and over 15% of all US energy usage, making it one of the nation's largest energy consumers. Many attempts have been made to optimize the control of HVAC systems by minimizing the energy wasted in conditioning buildings that are unoccupied. Systems have been proposed that turn off HVAC systems when a house is unoccupied, or put the system into an energy saving deep-setback mode when the occupants are asleep. An area that has not been as well explored is the retrofitting of centralized HVAC systems to save energy when the residents are at home and awake. In this paper, we demonstrate how to use cheap, off-the-shelf sensors and actuators to retrofit a centralized HVAC system and enable rooms to be heated or cooled individually, in order to reduce waste caused by conditioning unoccupied rooms. We call this approach room-level zoning. Sensors are used to detect occupancy in rooms which allows the learning of occupancy patterns and prediction of room occupancy. Unoccupied rooms can be allowed to drift away from a user defined comfortable temperature if they are less likely to be used in the near future while occupied rooms are maintained at a comfortable temperature. We implement room-level zoning in a 1400 square foot house by retrofitting an existing centralized HVAC system with wireless temperature sensors to monitor room-level temperature, motion sensors to monitor occupancy, and wirelessly actuatable dampers to control the flow of conditioned air through the house. Initial analysis indicates that this method has a 20.5% energy savings over the existing single-zoned thermostat.
An improved regional stabilization method for time-delay system with actuator saturation

In this paper, the control synthesis problem of time-delay systems with actuator saturation is studied by the free-weighting matrix technique and the convex polytope idea. The improvement lies in introducing a scaling factor into the free-weighting matrix. Not only constant delays, but also internally time-varying delays for systems with actuator saturation can be handled by the new approaches. The conditions for estimating the domain of attraction of the origin are proposed in terms of linear matrix inequality. The numerical example is further presented to show the effectiveness and less conservative of the proposed methods.
PIL-EYE: Integrated System for Sustainable Development of Intelligent Visual Surveillance Algorithms

In this paper, we introduce a new platform for integrated development of visual surveillance algorithms, named as PIL-EYE system. In our system, any functional modules and algorithms can be added or removed, not affecting other modules. Also, functional flow can be designed by simply scheduling the order of modules. Algorithm optimization becomes easy by checking computational load in real time. Furthermore, commercialization can be easily achieved by packaging of modules. The effectiveness of the proposed modular architecture is shown through several experiments with the implemented system.
PLANAR GRAPHS AND COVERS

Planar locally nite graphs which are almost vertex transitive are discussed. If the graph is 3-connected and has at most one end then the group of automorphisms is a planar discontinuous group and its structure is well- known. A general result is obtained for such graphs where no restriction is put on the number of ends. It is shown that such a graph can be built up from one-ended or nite planar graphs in a precise way. The results give a classication of the nitely generated groups with planar Cayley graphs.
RNA Editome in Rhesus Macaque Shaped by Purifying Selection

Understanding of the RNA editing process has been broadened considerably by the next generation sequencing technology; however, several issues regarding this regulatory step remain unresolved – the strategies to accurately delineate the editome, the mechanism by which its profile is maintained, and its evolutionary and functional relevance. Here we report an accurate and quantitative profile of the RNA editome for rhesus macaque, a close relative of human. By combining genome and transcriptome sequencing of multiple tissues from the same animal, we identified 31,250 editing sites, of which 99.8% are A-to-G transitions. We verified 96.6% of editing sites in coding regions and 97.5% of randomly selected sites in non-coding regions, as well as the corresponding levels of editing by multiple independent means, demonstrating the feasibility of our experimental paradigm. Several lines of evidence supported the notion that the adenosine deamination is associated with the macaque editome – A-to-G editing sites were flanked by sequences with the attributes of ADAR substrates, and both the sequence context and the expression profile of ADARs are relevant factors in determining the quantitative variance of RNA editing across different sites and tissue types. In support of the functional relevance of some of these editing sites, substitution valley of decreased divergence was detected around the editing site, suggesting the evolutionary constraint in maintaining some of these editing substrates with their double-stranded structure. These findings thus complement the “continuous probing” model that postulates tinkering-based origination of a small proportion of functional editing sites. In conclusion, the macaque editome reported here highlights RNA editing as a widespread functional regulation in primate evolution, and provides an informative framework for further understanding RNA editing in human.
The Wharton Financial Institutions Center Explaining the Dramatic Changes in Performance of U.s. Banks: Technological Change, Deregulation, and Dynamic Changes in Competition Technological Change, Deregulation, and Dynamic Changes in Competition

The Wharton Financial Institutions Center provides a multidisciplinary research approach to the problems and opportunities facing the financial services industry in its search for competitive excellence. The Center's research focuses on the issues related to managing risk at the firm level as well as ways to improve productivity and performance. The Center fosters the development of a community of faculty, visiting scholars and Ph.D. candidates whose research interests complement and support the mission of the Center. The Center works closely with industry executives and practitioners to ensure that its research is informed by the operating realities and competitive demands facing industry participants as they pursue competitive excellence. Copies of the working papers summarized here are available from the Center. If you would like to learn more about the Center or become a member of our research community, please let us know of your interest. The views expressed in this paper do not necessarily represent those of the Federal Reserve Bank of Philadelphia, the Board of Governors of the Federal Reserve System, or the Federal Reserve System. We thank the editor Anjan Thakor and the anonymous referees for very helpful suggestions for improving the paper. We also thank Abstract We investigate the effects of technological change, deregulation, and dynamic changes in competition on the performance of U.S. banks. Our most striking result is that during 1991-1997, cost productivity worsened while profit productivity improved substantially, particularly for banks engaging in mergers. The data are consistent with the hypothesis that banks tried to maximize profits by raising revenues as well as reducing costs. Banks appeared to provide additional or higher quality services that raised costs but also raised revenues by more than the cost increases. The results suggest that methods that exclude revenues when assessing performance may be misleading.
Compressed Sensing

Machine generated contents note: 1. Introduction to compressed sensing Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar and Gitta Kutyniok; 2. Second generation sparse modeling: structured and collaborative signal analysis Alexey Castrodad, Ignacio Ramirez, Guillermo Sapiro, Pablo Sprechmann and Guoshen Yu; 3. Xampling: compressed sensing of analog signals Moshe Mishali and Yonina C. Eldar; 4. Sampling at the rate of innovation: theory and applications Jose Antonia Uriguen, Yonina C. Eldar, Pier Luigi Dragotta and Zvika Ben-Haim; 5. Introduction to the non-asymptotic analysis of random matrices Roman Vershynin; 6. Adaptive sensing for sparse recovery Jarvis Haupt and Robert Nowak; 7. Fundamental thresholds in compressed sensing: a high-dimensional geometry approach Weiyu Xu and Babak Hassibi; 8. Greedy algorithms for compressed sensing Thomas Blumensath, Michael E. Davies and Gabriel Rilling; 9. Graphical models concepts in compressed sensing Andrea Montanari; 10. Finding needles in compressed haystacks Robert Calderbank, Sina Jafarpour and Jeremy Kent; 11. Data separation by sparse representations Gitta Kutyniok; 12. Face recognition by sparse representation Arvind Ganesh, Andrew Wagner, Zihan Zhou, Allen Y. Yang, Yi Ma and John Wright.
Impact of Early Work Experiences on Subsequent Paid Employment for Young Adults With Disabilities

To better understand how early work experience shapes subsequent employment outcomes for young people (ages 18 to 20) with disabilities, we analyzed longitudinal data from the Youth Transition Demonstration (YTD) evaluation to test whether the employment experiences of 1,053 youth during the initial year after entry affected their employment during the third year after entry. To derive causal estimates, we used a dynamic-panel estimation model to account for time-invariant unobserved individual characteristics that may be correlated with youth’s self-selection into both early and later employment. We also controlled for other socioeconomic and health factors that may affect later employment. We found that early work experience increases the probability of being employed 2 years later by 17 percentage points. This estimate is an important advancement over the correlational approaches that characterize the current literature and provides stronger evidence that early work experience is a key determinant of subsequent labor market success.
Influences of Family of Origin and Relationship Closeness on Romantic Attachment Security

145 COPYRIGHT 2012 BY PSI CHI, THE INTERNATIONAL HONOR SOCIETY IN PSYCHOLOGY (VOL. 17, NO. 4/ISSN 2164-8204) Previous research and theories have stressed the importance of attachment throughout the life cycle. Primary attachment begins forming in an individual’s family of origin. As years go on, these patterns of attachment shape peer and romantic relationships (Bowlby, 1988). One’s family of origin is the group of people that one spends the most childhood years with emotionally and physically (Hovestadt, Anderson, Piercy, Cochran, & Fine, 1985). The goal of the present study was to examine how attachment security and closeness in young adult romantic relationships are influenced by the social and emotional environment of the family of origin. Understanding these influences can aid with the construction of effective treatments related to issues pertaining to young adult romantic relationships.
Voltage Mode Single OTRA Based Biquadratic Filters

In this paper, single operational transresistance amplifier (OTRA) based biquadratic filter configuration is proposed. The topology can be used to synthesize low pass, high pass and band pass filter functions with appropriate admittance choices. This configuration can implement filters with high quality factor which can be controlled independent of angular frequency. Workability of the proposed biquad configuration is demonstrated through PSPICE simulations using 0.5 ìm CMOS process parameters provided by MOSIS (AGILENT).
On-line learning artificial neural networks for stability classification of milling processes

For increasing the productivity in milling processes an estimation of the milling stability in dependency of critical parameters, such as spindle speed, cutting-depth and cutting-width is needed. In this paper an approach for online estimation of the milling stability classification via Artificial Neural Networks is provided. The network grows with the needs of the network and is trained with an Extended Kalman Filter. Some statistical training parameters are adapted during the training process and a first-order trust criterion is introduced to estimate the prediction quality of the network. The proposed network is capable for continuous online training with sorted input data. With the adaptive enhancements the training works well on analytical benchmark functions and with a 2-DOF milling stability simulation.
Sustained high levels of stored drinking water treatment and retention of hand-washing knowledge in rural Kenyan households following a clinic-based intervention

Nyanza Province, Kenya is characterized by poor water quality and high diarrhoea prevalence. To address these problems, nurses in a maternal and child health clinic in Homa Bay, Kenya were trained in household water chlorination with a locally available, social marketed product, and in six steps of proper hand washing. They were asked to communicate this information to their clients. Interviews immediately following the training by nurses were conducted on 220 clients, of whom 168 (76%) reported being taught both procedures during their clinic visit. After 2 weeks, free chlorine residuals were present in stored drinking water in 67 out of 98 (68%) clients' homes and, 1 year later, in 36 out of 51 (71%) clients' homes. After 2 weeks, all six hand-washing steps were correctly demonstrated by 41 (44%) out of 93 clients, and by 17 out of 51 (34%) 1 year later. This brief, practical intervention shows promise for vulnerable populations.
Assessment of Distorted Thoughts About Women and Violence of Basque-speaking Secondary School Students

Abstract The aim of the study was to assess distorted cognitions regarding women and violence in a sample of 2,919 Basque-speaking secondary school students (mean age = 14.72, SD = 1.51). To this end, the Inventory of Distorted Thoughts about Women and Violence (IDTWV) by Echeburua and Fernandez-Montalvo (1998) was validated. It was translated into Basque using the back translation method. The confirmatory factor analysis data show that the model with the best fit is made up by two factors and 21 items: beliefs about women (F1) and beliefs about the use of violence and abuse against women (F2). The IDTWV correlates with the ambivalent sexism scale (Glick & Fiske, 1996) and the sexual double standard scale (Caron, Davis, Halteman, & Stickle, 1993). Results indicate that, on the whole, girls are less sexist than boys. Also, adolescents tend to express increasingly less agreement with sexist beliefs the older they are, and finally, the social desirability bias was found to influence girls’ responses, especially among the younger age groups. In sum, it can be concluded that the IDTWV adapted to the Basque language is a valid and reliable tool.
Study of calcification during a daily cycle of the coral Stylophora pistillata: implications for `light-enhanced calcification'

SUMMARY This work, performed on the scleractinian coral Stylophora pistillata, aims at providing new information on the `light-enhanced calcification' process. In a first step, in controlled conditions of culture and constant light supply, we studied the diurnal cycle of calcification. We determined that calcification rates are constant during the day and the night with a 2.6-fold difference between day and night calcification rates. We also showed that the photosynthetic rate is constant throughout the day when a constant light intensity is applied. Our results on free-running experiments in prolonged conditions of light or dark suggest that calcification is not regulated by an endogenous circadian rhythm. In a second step, using a kinetic isotopic approach with 45Ca, we characterized the transition stages between day and night and vice versa. Under our experimental conditions, the lag-phase necessary to switch from the light to the dark calcification rate is the same as the lag-phase necessary to switch from the dark to the light calcification rate. We discuss our results in the context of two hypotheses of the light-enhanced calcification process: (1) the role of photosynthesis on the pH in the coelenteron and (2) the role of photosynthesis in supplying precursors of the organic matrix.
Alcohol-related child maltreatment

Aim: To increase understanding of alcohol-related child maltreatment on the basis of child protection cases in Lithuania. The study is based on a document content analysis of 203 case records of families at social risk. It identifies the prevalence of alcohol-related harm by analysing associations between types of drinkers and child maltreatment. It also maps the distribution of people who typically report this maltreatment. Both qualitative and quantitative analytical approaches are employed. Results: Child neglect was the most prevalent type of child maltreatment and was usually reported together with other types of child maltreatment. Child maltreatment was typically mentioned in the context of a caregiver’s heavy drinking. In 85.7% (174) of the cases, the family had at least one problem drinker. More than one problem drinker was detected in as many as a third of all cases. At least one form of child maltreatment was detected in families with a drinking mother in 60% of the cases (χ2 = 4.825, p < 0.05), with a drinking father in 36% of the cases (p > 0.05), and in 15% of the cases (p > 0.05) when there was a drinking partner in the family. The most common source of reporting by the authorities was the police (26.6%), and the most typical non-official source was the child’s relatives (16.3%). Conclusions: Alcohol-related child maltreatment needs special attention if issues of child safety in Lithuania are to be disclosed, evaluated, and responded to. Further research on this topic is needed.
THE WEAK LENSING SIGNAL AND THE CLUSTERING OF BOSS GALAXIES. I. MEASUREMENTS

A joint analysis of the clustering of galaxies and their weak gravitational lensing signal is well-suited to simultaneously constrain the galaxy–halo connection as well as the cosmological parameters by breaking the degeneracy between galaxy bias and the amplitude of clustering signal. In a series of two papers, we perform such an analysis at the highest redshift ( z ∼ 0.53 ? > ) in the literature using CMASS galaxies in the Sloan Digital Sky Survey-III Baryon Oscillation Spectroscopic Survey Eleventh Data Release (BOSS DR11) catalog spanning 8300 deg2. In this paper, we present details of the clustering and weak lensing measurements of these galaxies. We define a subsample of 400,916 CMASS galaxies based on their redshifts and stellar-mass estimates so that the galaxies constitute an approximately volume-limited and similar population over the redshift range 0.47 ≤ z ≤ 0.59 ? > . We obtain a signal-to-noise ratio (S/N) ≃ 56 ? > for the galaxy clustering measurement. We also explore the redshift and stellar-mass dependence of the clustering signal. For the weak lensing measurement, we use existing deeper imaging data from the Canada–France–Hawaii Telescope Legacy Survey with publicly available shape and photometric redshift catalogs from CFHTLenS, but only in a 105 deg2 area that overlaps with BOSS. This restricts the lensing measurement to only 5084 CMASS galaxies. After careful systematic tests, we find a highly significant detection of the CMASS weak lensing signal, with total S/N ≃ 26 ? > . These measurements form the basis of the halo occupation distribution and cosmology analysis presented in More et al. (Paper II).
Proofs with monotone cuts

Atserias, Galesi, and Pudlák have shown that the monotone sequent calculus MLK quasipolynomially simulates proofs of monotone sequents in the full sequent calculus LK (or equivalently, in Frege systems). We generalize the simulation to the fragment MCLK of LK which can prove arbitrary sequents, but restricts cut‐formulas to be monotone. We also show that MLK as a refutation system for CNFs quasipolynomially simulates LK.
Effects of Professional Development on Preschool Teachers’ Use of Embedded Instruction Practices

We conducted a randomized controlled potential efficacy trial to examine effects of two variants of the Tools for Teachers (TfT) professional development (PD) intervention on preschool teachers’ implementation of embedded instruction practices and children’s developmental and learning outcomes. Thirty-six preschool teachers recruited from three school districts were randomly assigned within each district to one of three PD conditions. Preschool children with disabilities (N = 106) from enrolled teachers’ classrooms participated in the study. Results showed that, compared with business-as-usual PD teachers, teachers who received either PD intervention wrote higher-quality learning targets for study children. Teachers who received the PD intervention that included on-site coaching implemented more embedded instruction learning trials compared to teachers in the other two conditions. Compared with children whose teachers participated in BAU PD, children whose teachers received either PD intervention had greater developmental and learning gains as measured by standardized assessments.
Use of TerraSAR-X Data to Retrieve Soil Moisture Over Bare Soil Agricultural Fields

The retrieval of the bare soil moisture content from TerraSAR-X data is discussed using empirical approaches. Two cases were evaluated: (1) one image at low or high incidence angle and (2) two images, one at low incidence and one at high incidence. This study shows by using three databases collected between 2008 and 2010 over two study sites in France (Orgeval and Villamblain) that TerraSAR-X is a good remote sensing tool for the retrieving of surface soil moisture with accuracy of about 3% (rmse). Moreover, the accuracy of the soil moisture estimate does not improve when two incidence angles (26<sup>°</sup>-28 <sup>°</sup> or 50<sup>°</sup>-52<sup>°</sup>) are used instead of only one. When compared with the result obtained with a high incidence angle (50 <sup>°</sup>-52<sup>°</sup>), the use of low incidence angle (26<sup>°</sup>-28 <sup>°</sup>) does not enable a significant improvement in estimating soil moisture (about 1%).
Adaptive 2.5D visual servoing of kinematically redundant robot manipulators

In this paper the 3-dimensional (3D) position and orientation of a camera held by the end-effector of a robot manipulator is regulated to a constant desired position and orientation despite (i) the lack of depth information of the actual or desired camera position from a target, (ii) the lack of a 3D model of the target object, and (iii) parametric uncertainty in the dynamic model of the robot manipulator. Specifically, by fusing 2D image-space and 3D task-space information (i.e., 2.5D visual servoing) while actively adapting for unknown depth information, a task-space kinematic controller is developed that is proven to ensure asymptotic regulation of the position and orientation of the camera. Based on the desire to enhance the robustness of the control design, the integrator backstepping approach is then utilized to develop a joint torque control input to ensure asymptotic regulation of the position and orientation of the camera, which is held by the end-effector of a kinematically redundant robot manipulator. despite parametric uncertainty in the dynamic model of the robot. The stability of each controller is proven through a Lyapunov-based stability analysis.