Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring Aggregate Productivity Growth Using Plant-Level Data

We define productivity growth as the change in welfare that arises from additional output holding primary inputs constant. Using this traditional growth-accounting definition, we show that gains may arise because of plant-level technology shocks, and, in imperfectly competitive settings, from the reallocation of inputs across plants with differing markups and/or shadow values of primary inputs. With plant-level data, the alternative and most popular definition of productivity growth looks at the difference in the first moments of the productivity distribution. We show that this definition adds an additional term to the growth-accounting measure, which has been called “reallocation. ” We show there is a very weak relationship between the two indexes in almost every 3-digit manufacturing industry in both Chile from 1987-1996 and Colombia from 1981-1991 - 49 in total - primarily because this “reallocation” term is large and volatile. We explore the theoretical reasons for this sharp divergence, in the process uncovering a number of previously unnoticed and unattractive features of the first-moment definition. For example, it is not tethered to any theoretical model, it is sensitive to measured units, and it can report positive productivity growth when welfare has fallen.
‘What does it mean?’ uncertainty, trust and communication following treatment for pre‐cancerous cervical abnormalities

The early detection of pre‐cancerous cervical conditions has risen dramatically, prompting more in‐depth investigations regarding psychological implications inherent within the diagnosis and treatment of this condition. This study aimed to identify factors that influence women's experience of diagnosis and treatment of cervical abnormalities and factors that facilitate positive adjustment. Using a semi‐structured telephone interview, we interviewed 21 women (age 24–54) treated at a colposcopy clinic. Systematic recruitment of women with varying degrees of cervical abnormality (CIN 1–3) and time since treatment was undertaken to ensure representation of all relevant experiences and allow the identification of long‐term factors. Coding of audio‐taped, transcribed interviews and searching for themes was achieved by using NUD*IST software. The results identified uncertainty, trust and communication as the key factors for women following diagnosis and treatment. The primary concern following diagnosis was related to cancer but changed to a more prominent concern with future reproductive issues in the post‐treatment period. The majority of women acknowledged the importance of the doctor's empathic communication style. These findings have important implications for future studies and clinical practice. Copyright © 2006 John Wiley & Sons, Ltd.
Public and private V beta T cell receptor repertoires against hen egg white lysozyme (HEL) in nontransgenic versus HEL transgenic mice

We have previously produced a transgenic mouse line for hen egg lysozyme (HEL), an experimental model for analyzing tolerance to self- antigens at the peptide level. We have now characterized transgenic mice with HEL blood levels below 2 ng/ml, where significant T cell proliferative responses to HEL and its immunodominant peptide were observed. This HEL-low transgenic model was chosen because it mimics physiological conditions in which autoreactive T lymphocytes, recognizing self-components expressed at very low levels, persist without inducing a break in tolerance. Furthermore, in H-2d mice, HEL- specific T lymphocytes are triggered by a single immunodominant region, allowing us to compare the HEL-specific T cell V beta repertoires of transgenic and nontransgenic animals against a single peptide presented as self or foreign, respectively. We found that a V beta 8.2-D beta 1-J beta 1.5 rearrangement is found in response to HEL in all nontransgenic mice, whereas this V beta-restricted response is absent in HEL-low transgenic animals. At the nucleotide level, this rearrangement results from the trimming of the genomic segments during VDJ or DJ joining, without N additions, suggesting that the dominant rearrangement is selected early during fetal or neonatal life, before the expression of terminal deoxynucleotidyl transferase. In HEL-low transgenic mice, no dominant rearrangements are found as alternatives to the one observed in normal mice. Instead, each transgenic animal uses a different set of V beta-J beta combinations in its response to the immunodominant HEL peptide. In nontransgenic mice, besides the dominant V beta 8.2-D beta 1-J beta 1.5 combination, minor V beta repertoires were found which differed in each animal and were distinct from the rearrangements used by individual transgenic mice. These findings suggest that the T cell response to an immunodominant peptide involves a "public" V beta repertoire found in all animals and a "private" one which is specific to each individual.
Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase

Recent trends in marketing have demonstrated an increased focus on in-store expenditures with the hope of “grabbing consumers” at the point of purchase, but does this make sense? To help answer this question, the authors examine the interplay between in-store and out-of-store factors on consumer attention to and evaluation of brands displayed on supermarket shelves. Using an eye-tracking experiment, they find that the number of facings has a strong impact on evaluation that is entirely mediated by its effect on visual attention and works particularly well for frequent users of the brand, for low-market-share brands, and for young and highly educated consumers who are willing to trade off brand and price. They also find that gaining in-store attention is not always sufficient to drive sales. For example, top- and middle-shelf positions gain more attention than low-shelf positions; however, only top-shelf positions carry through to brand evaluation. The results underscore the importance of combining eye-tracking and purchase data to obtain a full picture of the effects of in-store and out-of-store marketing at the point of purchase.
Fast Online Coordinate Correction of a Multi-Sensor for Object Identification in Autonomous Vehicles

Multi-sensor perception systems may have mismatched coordinates between each sensor even if the sensor coordinates are converted to a common coordinate. This discrepancy can be due to the sensor noise, deformation of the sensor mount, and other factors. These mismatched coordinates can seriously affect the estimation of a distant object’s position and this error can result in problems with object identification. To overcome these problems, numerous coordinate correction methods have been studied to minimize coordinate mismatching, such as off-line sensor error modeling and real-time error estimation methods. The first approach, off-line sensor error modeling, cannot cope with the occurrence of a mismatched coordinate in real-time. The second approach, using real-time error estimation methods, has high computational complexity due to the singular value decomposition. Therefore, we present a fast online coordinate correction method based on a reduced sensor position error model with dominant parameters and estimate the parameters by using rapid math operations. By applying the fast coordinate correction method, we can reduce the computational effort within the necessary tolerance of the estimation error. By experiments, the computational effort was improved by up to 99.7% compared to the previous study, and regarding the object’s radar the identification problems were improved by 94.8%. We conclude that the proposed method provides sufficient correcting performance for autonomous driving applications when the multi-sensor coordinates are mismatched.
Sinistrals are rarely “right”: evidence from tool-affordance processing in visual half-field paradigms

Although current neuroscience and behavioral studies provide substantial understanding of tool representations (e.g., the processing of tool-related affordances) in the human brain, most of this knowledge is limited to right-handed individuals with typical organization of cognitive and manual skills. Therefore, any insights from these lines of research may be of little value in rehabilitation of patients with atypical laterality of praxis and/or hand dominance. To fill this gap, we tested perceptual processing of man-made objects in 18 healthy left-handers who were likely to show greater incidence of right-sided or bilateral (atypical) lateralization of functions. In the two experiments reported here, participants performed a tool vs. non-tool categorization task. In Experiment 1, target and distracter objects were presented for 200 ms in the left (LVF) or right (RVF) visual field, followed by 200 ms masks. In Experiment 2, the centrally presented targets were preceded by masked primes of 35 ms duration, again presented in the LVF or RVF. Based on results from both studies, i.e., response times (RTs) to correctly discriminated stimuli irrespective of their category, participants were divided into two groups showing privileged processing in either left (N = 9) or right (N = 9) visual field. In Experiment 1, only individuals with RVF advantage showed significantly faster categorization of tools in their dominant visual field, whereas those with LVF advantage revealed merely a trend toward such an effect. In Experiment 2, when targets were preceded by identical primes, the “atypical” group showed significantly facilitated categorization of non-tools, whereas the “typical” group demonstrated a trend toward faster categorization of tools. These results indicate that in subjects with atypically organized cognitive skills, tool-related processes are not just mirror reversed. Thus, our outcomes call for particular caution in neurorehabilitation directed at left-handed individuals.
A Novel En-route Filtering Scheme against False Data Injection Attacks in Cyber-Physical Networked Systems

In last decade, applications of wireless sensor systems (WSNs) i.e. Cyber-Physical Networked Systems (CPNS), have been expanded because of its tremendous potency to interface the physical world to the practical world. In CPNS, third party like attackers could insert wrong estimations to the controller by trading off a sensor nodes in networked system, which not just in danger the security of the system, additionally utilizes system resources. To determine such issue, various en-course filtering has been intended for wireless sensor networks. So the proposed system is a Polynomial-based Compromised-Resilient En-course Filtering plan, in this proficiently filters false data efficaciously as well as accomplish an eminent quality strength to the numeral of traded off nodes without trusting upon stable route and node lateralization. To accomplish the versatility of attackers the scheme user’s polynomials rather than message authentication codes (MAC) for underwriting measurement results. All node stores two kinds of polynomials: authentication (hallmark) polynomial (multinomial) and check polynomial got from the primitive polynomial, and used for underwriting as well as checking
The Role of Location Popularity in Multicast Mobile Ad Hoc Networks

In the asymptotic analysis of large scale mobile networks, most previous works assume that nodes move in all the cells identically. We put forward this line of research by considering location popularity, which is verified by recent experimental studies. Nodes tend to visit some popular locations and go to other locations less frequently. We first analyze its multicast capacity and delay under the traditional 2-hop store-carry and forward paradigm. With different location popularity distributions, network capacity and delay will vary according to the distribution exponent. As the popularity becomes more diverse, less concurrent transmissions are tolerated in the network, which brings down the performance. Observing that transmission opportunity is not fully utilized in popular cells for 2-hop paradigm, we put forward a 3-hop scheme, which is called store-carry-accelerate-forward scheme. In this 3-hop scheme, each packet is first sent to an initial relay, who carries the packets into the popular cells and then broadcasts to multiple nodes to accelerate the delivery. By so doing, we showed that the 3-hop scheme outperforms the 2-hop scheme for all popularity distributions. Furthermore, we study the delay-capacity tradeoffs for multicast under both schemes and the buffer needed for stability requirement. Our results reveals the joint impact of multicast and location heterogeneity on the design of transmission schemes, and may shed new insights for future studies.
Concurrent data representation synthesis

We describe an approach for synthesizing data representations for concurrent programs. Our compiler takes as input a program written using concurrent relations and synthesizes a representation of the relations as sets of cooperating data structures as well as the placement and acquisition of locks to synchronize concurrent access to those data structures. The resulting code is correct by construction: individual relational operations are implemented correctly and the aggregate set of operations is serializable and deadlock free. The relational specification also permits a high-level optimizer to choose the best performing of many possible legal data representations and locking strategies, which we demonstrate with an experiment autotuning a graph benchmark.
A Game-Theoretic Analysis of Cyber Switching Attacks and Mitigation in Smart Grid Systems

We propose a framework for the analysis of cyber switching attacks and control-based mitigation in cyber-enabled power systems. Our model of the switching attack is simple, only requiring knowledge of the sign of the local relative rotor speed, which may be estimated. The controller is modeled to be resource constrained, choosing to act only during select intervals of time. We make use of an iterated game-theoretic formulation to describe the interactions of the parties and its effect on system stability. Analytic results indicate the potential of the constrained controller to achieve transient stabilization over time using zero-determinant strategies. Numerical results of the New England 39-bus power system demonstrate the potential for such a controller to increase system resilience during cyber-attacks.
The Bayou Architecture: Support for Data Sharing Among Mobile Users

The Bayou System is a platform of replicated, highly-available, variable-consistency, mobile databases on which to build collaborative applications. This paper presents the preliminary system architecture along with the design goals that influenced it. We take a fresh, bottom-up and critical look at the requirements of mobile computing applications and carefully pull together both new and existing techniques into an overall architecture that meets these requirements. Our emphasis is on supporting application-specific conflict detection and resolution and on providing application controlled inconsistency.
Integration of Gait and Side Face for Human Recognition in Video

Combined with Two-Direction Image Matrix based Principal Component Analysis (2DIMPCA) and Multiple Discriminant Analysis (MDA), a new approach for human recognition is presented based on integrating information from gait and side face at the feature level. Feature exaction and dimension reducing is done to Gait Energy Image (GEI) and Side Face Image (SFI) respectively by 2DIMPCA, and two original feature vectors are obtained correspondingly, which are integrated into synthetic feature vectors. Then MDA is employed on the synthetic feature vectors of gait and side face to obtain fusion features vectors. Finally, the recognition process is implemented on the fusion feature vectors by nearest neighbor (NN) algorithm. The experimental results on Dataset B of CASIA gait databases show that: 1) the recognition rate of the integration of gait and side face is higher than that of the single feature of gait or side face; 2) the recognition rate of the proposed approach is slightly higher and the recognition time (not including the preprocessing time)is much shorter than that of the method.
Multiclass MTS for Saxophone Timbre Quality Inspection Using Waveform-shape-based Features

Under the highly developed automation today, the manufacture of saxophone is still a nonautomatic process and much relies on highly skilled technicians. In order to insure the timbre quality, the sound of finished saxophone must be tested in the final inspection stage. The evaluation of timbre quality mainly depends on the professional musicians' hearing judgment; however, the sensitivity of human perception can be influenced by many factors. To improve the reliability of saxophone timbre quality inspection, an automatic multiclass timbre classification system (AMTCS) is developed and used to assist in the inspection work. The AMTCS is composed of our proposed waveform-shape-based feature extraction method in parameterization phase and multiclass Mahalanobis-Taguchi system in classification phase. The numerical experiments show that the musical instrument classification accuracy obtained by our proposed AMTCS is satisfactory. Through employing the AMTCS, strong assistance was provided to the inspection of saxophone timbre quality, and a perfect identification rate on the saxophones with different timbre quality levels is achieved. Moreover, the significant tones having impact on saxophone timbre quality can also be easily identified by AMTCS.
A larger stacked layer number scalable TSV-based 3D-SRAM for high-performance universal-memory-capacity 3D-IC platforms

This work demonstrates the first fabricated TSV-based die-to-die bonding stacked-layer-number-scalable 3D-SRAM macro. This 3D-SRAM uses a semi-master-slave (SMS) structure and a self-timed differential-TSV signal transfer (STDT) scheme to 1) provide a constant-load logic-SRAM interface across various layer configurations; 2) suppress TSV-induced power and speed overheads; 3) tolerate die-to-die variation, and 4) enable pre-bonding KGD sorting, to improve the speed and yield of universal-memory-capacity platforms. Superior scalability of increasing stacked layer number with small speed overheads is demonstrated in the fabricated 3D-SRAM macro with layer-scalable test-modes. This macro has two SRAM layers that are stacked by a via-last process with die-to-die bonding.
Social Media/ted Practice @ the Interface

This research contributes to the evolving field of New Media Studies through an empirical examination of social media design in real-time practice at the computer interface. In recent years questions of technology and design have started to figure more prominently in research into Social Network Sites (SNSs) but critical analysis of design in practice, at the interface remains under-researched. The interface is becoming an increasingly important analytical concept in the digital age as it is the space where machine readable code is translated into the cultural codes which are accessible to the everyday users of digital media technology. Furthermore, there have been recent calls for an expansion of the traditional media practice paradigm encouraging practice approaches to media which take seriously the mediating role of technologies in emergent forms of digital media practice. This thesis carries out empirical research into social media/ted practice; it critically examines sites and real-time interactions at the interface, to understand the interrelationships between the specific design of platforms and evolving forms of social media/ted practice. The thesis draws on Media Studies, New Media Studies, Sociology and Social Studies of Technology to explicate an original interdisciplinary analytical framework for studying people’s interactions with social media technologies at the interface. This framework is referred to as the triple articulation of social media/ted practice. The triple articulation of social media/ted practice acknowledges the interplay between the materiality of social media technologies, the cultural coding of social media technologies and active practice with social media technologies. The term social media/ted practice has been coined specifically to emphasise the mediating role of technology in social media use. Using SNSs as a case study the thesis combines critical site analysis with interviews at the interface which illuminate the interpretive and constructive elements of the micro-interactions between people and SNSs that underpin related forms of social media/ted practice. Whilst this thesis is focused on SNSs, the analytical framework has wider applicability in New Media Studies and media-orientated Sociology. The central argument of this thesis is that design matters for social media/ted practice. Site-specific ‘micro’ architectures, affordances and algorithmic processes continue to shape social media/ted practice at the interface. The user-interface works to render aspects of the technology visible, accessible, meaningful and useful. This thesis calls attention to the user-interface as a key site for: (1), mediating social practice (2), understanding emerging social trends (3), site governance and (4), developing critical digital media literacies.
[Glioblastoma with BRAFV600E mutation and numerous metastatic foci: a case report].

Glioblastoma, the most malignant astrocytic tumour, is associated with limited survival and thus rare metastases. We analysed a particularly interesting case - a 51-year-old male diagnosed within 2 years with primary and recurrent glioblastoma, isocitrate dehydrogenase (IDH)-wild type, as well as with numerous extra-central nervous system (CNS) metastatic foci. Genetic material obtained from primary and recurrent tumours, as well as from pulmonary metastasis was analysed and compared at a molecular level. Next generation sequencing (NGS) analysis revealed BRAFV600E mutation, detected only in 2-5% of glioblastomas, in both the primary tumour and pulmonary metastases. Importantly, this mutation provides a possible therapeutic option as it constitutes a target for clinically approved inhibitors. This case study not only demonstrates a molecular comparison of primary, recurrent and metastatic glioblastoma, but also emphasizes the need for precise molecular diagnostics, which may facilitate treatment choice, especially in tumours currently lacking efficient treatment.
Magnitude of the heart rate and electrodermal response as a function of stimulus input, motor output, and their interaction.

In Part I, 20 Ss squeezed a dynamometer at various levels of rapacity. Heart rate and skin conductance were monitored during each squeeze. In part II, reactivity to the four combinations of the presence and absence of a loud noise and the presence and absence of a strong squeeze was examined. Part HI compared reactivity to the loud noise under the following conditions; as an unfamiliar, surprise stimulus; as a familiar surprise stimulus; as a familiar, expected stimulus. Major conclusions were: (1) Heart rate varies more directly and reliably with motor output than skin conductance; (2) Skin conductance is more sensitive to small cognitive than to small motor effects; (3) Skin conductance is more reactive to stimulus input than to motor output, while the opposite is true for heart rate; (4) A strong familiar stimulus presented by surprise elicits a marked heart rate declarative reaction, usually, but not always, preceded by a smaller accelerative reaction; (5) Baseline changes immediately preceding stimulus onset markedly affect the response to stimulation, and can account for the attenuated reactions observed when a noxious stimulus is preceded by a warning signal.