Miracle-dz/UniFAR-FTUs huggingface dataset:
SiLo: A Similarity-Locality based Near-Exact Deduplication Scheme with Low RAM Overhead and High Throughput

Data Deduplication is becoming increasingly popular in storage systems as a space-efficient approach to data backup and archiving. Most existing state-of-the-art deduplication methods are either locality based or similarity based, which, according to our analysis, do not work adequately in many situations. While the former produces poor deduplication throughput when there is little or no locality in datasets, the latter can fail to identify and thus remove significant amounts of redundant data when there is a lack of similarity among files. In this paper, we present SiLo, a near-exact deduplication system that effectively and complementarily exploits similarity and locality to achieve high duplicate elimination and throughput at extremely low RAM overheads. The main idea behind SiLo is to expose and exploit more similarity by grouping strongly correlated small files into a segment and segmenting large files, and to leverage locality in the backup stream by grouping contiguous segments into blocks to capture similar and duplicate data missed by the probabilistic similarity detection. By judiciously enhancing similarity through the exploitation of locality and vice versa, the SiLo approach is able to significantly reduce RAM usage for index-lookup and maintain a very high deduplication throughput. Our experimental evaluation of SiLo based on real-world datasets shows that the SiLo system consistently and significantly outperforms two existing state-of-the-art system, one based on similarity and the other based on locality, under various workload conditions.
Intergenerational transmission of secure base scripts through mother -child dialogue

Stony Brook University Libraries. SBU Graduate School in Psychology. Lawrence Martin (Dean of Graduate School), Harriet Waters, PhD – Dissertation Advisor Professor of Psychology, Everett Waters, PhD - Chairperson of Defense Professor of Psychology, Amy Slep, PhD Professor of Psychology, German Posada, PhD Associate Professor of Developmental Studies Child Development and Family Studies Purdue University.
NTCIR-6 at Maryland: Chinese Opinion Analysis Pilot Task

For the Chinese opinion analysis pilot task at NTCIR-6, we tested two techniques for each of the four subtasks—identifying opinionated sentences, making polarity decisions, identifying opinion holders, and retrieving topically relevant sentences. Our opinion detection technique is based on sentiment lexicons. We explored three main issues: the effect of the size of sentiment lexicons on the accuracy of opinionated sentence identification and of polarity decisions, the effect of a simple approximation to anaphora resolution on the accuracy of opinion holder identification, and the effect of sentence expansion on the effectiveness of relevant sentence retrieval.
Factors influencing the delivery of the fundamentals of care: Perceptions of nurses, nursing leaders and healthcare consumers

AIMS AND OBJECTIVES To explore the factors described by nurses and consumer representatives influencing the delivery of the fundamentals of care. BACKGROUND An ongoing challenge facing nursing is ensuring the "basics" or fundamentals of care are delivered optimally. The way nurses and patients perceive the delivery of the fundamentals of care had not been explored. Once identified, the factors that promote the delivery of the fundamentals of care may be facilitated. DESIGN Inductive content analysis of scenario based focus groups. METHODS A qualitative approach was taken using three stages, including direct observation, focus groups and interviews. This paper reports the second stage. Focus groups discussed four patient care scenarios derived from the observational data. Focus groups were conducted separately for registered nurses, nurses in leadership roles and consumer representatives. Content analysis was used. RESULTS The analysis of the focus group data resulted in three themes: Organisational factors; Individual nurse or patient factors; and Interpersonal factors. Organisational factors include nursing leadership, the context of care delivery and the availability of time. Individual nurse and patient factors include the specific care needs of the patient and the individual nurse and patient characteristics. Interpersonal factors include the nurse-patient relationship; involving the patient in their care, ensuring understanding and respecting choices; communication; and setting care priorities. CONCLUSIONS Seeking the perspective of the people involved in delivering and receiving the fundamentals of care showed a shared understanding of the factors influencing the delivery of the fundamentals of care. The influence of nursing leadership and the quality of the nurse-patient relationship were perceived as important factors. RELEVANCE TO CLINICAL PRACTICE Nurses and consumers share a common perspective of the factors influencing the delivery of the fundamentals of care and both value a therapeutic nurse-patient relationship. Clinical nursing leaders must understand the impact of their role in shaping the delivery of the fundamentals of care.
“Beyond Emotion: Love as an Encounter of Myth and Drive” by Lubomir Lamy

The author comments on and criticizes some conclusions of the article by Lubomir Lamy entitled “Beyond Emotion: Love as an Encounter of Myth and Drive. ” In addition, she shows evidence that love may be considered an integrated neurobiobehavioral process and, as such, regulated by neural systems and circuits that underlie its emotional, cognitive, and behavioral expressions.
Warfarin Pharmacogenetics: Challenges and Opportunities for Clinical Translation

Despite its wide use over six decades, warfarin therapy remains challenging due its narrow therapeutic index. The multitude of factors interacting with warfarin makes it difficult to maintain anticoagulation within the target International Normalized Ratio (INR) range (Ageno et al., 2012). Even within this range the dose requirements vary as much as 20-fold between patients.
Pediatric Resistance Training: Benefits, Concerns, and Program Design Considerations

A growing number of children and adolescents are involved in resistance training in schools, fitness centers, and sports training facilities. In addition to increasing muscular strength and power, regular participation in a pediatric resistance training program may have a favorable influence on body composition, bone health, and reduction of sports-related injuries. Resistance training targeted to improve low fitness levels, poor trunk strength, and deficits in movement mechanics can offer observable health and fitness benefits to young athletes. However, pediatric resistance training programs need to be well-designed and supervised by qualified professionals who understand the physical and psychosocial uniqueness of children and adolescents. The sensible integration of different training methods along with the periodic manipulation of programs design variables over time will keep the training stimulus effective, challenging, and enjoyable for the participants.
Peer-to-Peer Storage Systems: A Practical Guideline to be Lazy

Distributed and peer-to-peer storage systems are foreseen as an alternative to the traditional data centers and in-house backup solutions. In the past few years many peer-to- peer storage systems have been proposed. Most of them rely on the use of erasure codes to introduce redundancy to the data. This kind of system depends on many parameters that need to be well tuned, such as the factor of redundancy, the frequency of data repair and the size of a data block. In this paper we give closed-form mathematical expressions that estimate the system average behavior. These expressions are derived from a Markov chain. Our contribution is a guideline to system designers and administrators to choose the best set of parameters. That is, how to tune the system parameters to obtain a desired level of reliability under a given constraint of bandwidth consumption. We confirm that a lazy repair strategy can be employed to amortize the repairing cost. Moreover, we propose a formula to calculate the optimal threshold value that minimizes the bandwidth consumption. Finally, we additionally discuss the impact of different system characteristics on the performance metrics, such as the number of peers, the amount of stored data, and the disk failure rate. To the best of our knowledge this is the first work to give close-form formulas to estimate the bandwidth consumption for a lazy repair, and the loss rate taking into account the repair time.
Some Challenges of Designing Shape Changing Interfaces

In this paper we describe some challenges we find in the design of shape changing user interfaces through our own work and thoughts on the current state of the art in HCI. Due to the large set of possibilities for shape changing materials we are faced with a too-large constraint system. Without a good understanding and the beginning of a standardization or physical language for shape change it will be hard to design interactions that make sense beyond those in very limited, one-off applications. We are excited by the challenge that this poses to researchers and look forward to understanding how to use programmable and shape changing materials in the future.
Multistratum space-time codes for the asynchronous uplink of MIMO-CDMA systems

We propose the use of multistratum space-time codes (MSSTC) for the asynchronous uplink of broadband MIMO-CDMA systems. This transmission scheme, originally proposed for single-user systems and flat fading channels, combines the benefits of both space-time block codes and multilayer transmission, i.e. it exploits transmit diversity and simultaneously enables high data rates with reasonable decoding complexity. Though the full potential of multistratum codes can only be achieved by using adaptive channel coding, we show by simulation results that they are a promising approach even in the uncoded case.
Impact of MapReduce Policies on Job Completion Reliability and Job Energy Consumption

Recently, MapReduce has been widely employed by many companies/organizations to tackle data-intensive problems over a large-scale MapReduce cluster. To solve machine/node failure which is inevitable in a MapReduce cluster, MapReduce employs several policies, such as input-data replication and intermediate-data replication policies. To speed up job execution, MapReduce allows reduce tasks to early fetch their required intermediate data. However, the impact of these policy combinations on the job completion reliability (JCR for short) and job energy consumption (JEC for short) of a MapReduce cluster was not clear, where JCR is the reliability with which a MapReduce job can be completed by the cluster, whereas JEC is the energy consumed by the cluster to complete the job. Therefore, in this study, we analyze the JCR and JEC of a MapReduce cluster on four policy combinations (POCs for short) derived from two typical intermediate-data replication policies and two typical reduce-task assignment policies. The four POCs are further compared in extensive scenarios, which not only consider jobs at different scales with various parameters, but also give a MapReduce cluster two extreme parallel execution capabilities and diverse bandwidths. The analytical results enable MapReduce managers to comprehend how these POCs impact the JCR and JEC of a cluster and then select an appropriate POC based on the characteristics of their own MapReduce jobs and clusters.
Using Case Prototypicality as a Semantic Primitive

A lexicon is essential to provide a proper semantic analysis of linguistic expressions. Thus, much work has been done to build one automatically. However, the results were not enough to define word meaning, but no more than a kind of thesaurus or taxonomy. In this paper, we present a new method that is not only more practical and efficient for implementing on computers, but also more reasonable in view of psycholinguistics. We first note that componential analysis is not real in our cognitive system. We define word meaning by a set of Case prototypicalities. We show that this knowledge can be constructed by supervised machine learning on the basis of Case particles and the collocational information from a large corpus.
VITAL: use and implementation of a medical communication standard in practice

Modern medicine, especially intensive care, demands the automated interaction of multiple devices for the monitoring and therapy of patients. At present, the communication between devices from various manufacturers is often impossible due to different interfaces and transmission protocols. Open system architecture and standardized communication protocols like the CEN standard ENV 13734/35 (VITAL) will resolve this issue. VITAL (now also part of the IEEE 11073 standards family) describes the design of communication specifications for the transmission of device and vital parameters, independent of device type or manufacturer as well. Additionally, VITAL defines a general data and communication model enabling access to required data - even under real-time conditions. VITAL also enables the automatic configuration and coordination of networked devices. Obviously, VITAL covers a very wide range of applications. Thus device manufacturers need assistance to implement on different platforms and systems compliant devices. To meet this requirement not only a library was designed but also a framework with a special plug-in interface was developed. This allows to program simple plug-ins for all different purposes medical devices have. Using this framework a device manufacturer is in the position to produce VITAL compliant devices without the need of knowing details of VITAL itself. The framework is platform independent and therefore usable on different systems especially small embedded devices
Interaction of Sindbis virus glycoproteins during morphogenesis

In cells infected with the Sindbis temperature-sensitive mutants ts-23 and ts-10 (complementation group D), which contain a defect in the envelope glycoprotein E1, the precursor polypeptide PE2 is not cleaved to the envelope glycoprotein E2 at the nonpermissive temperature. This defect is phenotypically identical to the defect observed in the complementation group E mutant, ts-20. The lesion in ts-23 is reversible upon shift to permissive temperature, whereas that of ts-10 is not. Antiserum against whole virus, E1, or E2 also prevents the cleavage of PE2 in cells infected with wild-type Sindbis virus. Because the cleavage of PE2 is inhibited by the lesion in mutants that are genotypically distinct and by anti-E1 or -E2 serum, it appears that PE2 and E1 exist as a complex in the membrane of the infected cell.
Observations following laser treatment for choroidal neovascularization.

Laser photocoagulation can reduce the risk of severe visual loss in patients with well-defined choroidal neovascular membranes (NVMs) that do not involve the center of the fovea. However, new or recurrent neovascularization can limit the benefits of treatment, as reported by the Macular Photocoagulation Study Group. 1 In patients with age-related macular degeneration (AMD), the average three-year posttreatment visual acuity was 20/50 without recurrence and 20/250 with recurrence. In patients with ocular histoplasmosis (OHS), the three-year posttreatment visual acuity was 20/32 without recurrence and 20/64 with recurrence. See also pp 1528 and 1533. Recent reports indicate two-year posttreatment recurrence rates of 50% to 60% in patients with AMD and 20% to 30% in patients with OHS. Because the adverse effect on visual acuity is substantial, efforts have been made to reduce the frequency of recurrence and to recognize recurrence early, when re-treatment may be possible. To detect recurrences at a
VoxaleadNews: robust automatic segmentation of video into browsable content

We present an interface to video and audio podcasts that extracts semantics from the speech content, and packages the extracted information in a variety of navigation tools. The user can jump to the relevant sections and browse from relevant section to relevant section. This interface is related to the Yahoo! Challenge: Robust Automatic Segmentation of Video According to Narrative Themes.
Group delay ripple reduction and reflectivity increase in a chirped fiber Bragg grating by multiple-overwriting of a phase mask with an electron-beam

The phase errors in electron-beam-written step-chirped masks can be reduced by using a method based on the continuous movement approach and overwriting a pattern at the same place on the substrate several times. The group delay ripple of chirped fiber Bragg gratings fabricated by a four-times-overwritten phase mask is comparable with that of gratings obtained using a holographically written chirped phase mask.
How Much Memory Does Oculomotor Search Have?

Research has demonstrated that oculomotor visual search is guided by memory for which items or locations within a display have already been inspected. In the study reported here, we used a gaze-contingent search paradigm to examine properties of this memory. Data revealed a memory buffer for search history of three to four items. This buffer was effected in part by a space-based trace attached to a location independently of whether the object that had been seen at that position remained visible, and was subject to interference from other stimuli seen in the course of a trial.
Cranial Nerve Preservation in Surgery for Large Acoustic Neuromas

Facial nerve outcomes and surgical complication rates for other cranial nerves were evaluated retrospectively after the resection of large acoustic neuromas. The charts of all patients who underwent surgical removal of an acoustic neuroma between 1992 and 2001 at New York University Medical Center were reviewed. Fifty-four patients with tumors measuring 3 cm or larger were included in the study. Four patients had neurofibromatosis type 2, two of whom underwent bilateral removal of acoustic neuromas. Translabyrinthine microsurgical removal of tumor was performed in 47 of 56 cases (84%). In all cases, EMG monitoring, improved sharp microdissection, and ultrasonic aspiration were employed. Facial nerve function was assessed using the House-Brackmann facial nerve grading system immediately after surgery and at follow-up visits. A House-Brackmann grade III or better was achieved in 90% of patients, and a grade II or better was achieved in 84% of patients. Ultimate facial nerve outcome was excellent after the surgical resection of large acoustic neuromas. Preoperative cranial nerve palsies also improved after surgery. The translabyrinthine approach for tumor removal is our treatment of choice for acoustic neuromas 3 cm or larger.
A fast and robust maximum power point tracker for photovoltaic systems using variable structure control approach

This paper presents a fast and robust maximum power point tracking scheme for photovoltaic (PV) generators. The fast dynamics is achieved by a sliding mode-plus-PI controller with a new optimal switching surface based on P-I characteristics of PV panels. The proposed controller is able to reduce the output power fluctuations during steady-state behavior while the fast response and robustness merits of the sliding mode controller are preserved. In response to a sudden change in radiation and temperature, the validity and capability of the method are verified by a grid-tied two switch flyback solar micro inverter simulation results. This topology mitigates the problem of high-voltage transients at switch turn off which commonly exists in single switch flyback inverters.
Ecology of Semiotic Space: Competition, Exploitation and the Evolution of Arbitrary Signs

L'A. propose de definir l'origine du concept de communication. L'approche critique developpee dans l'article tente d'illustrer d'une part la nature anti-evolutionniste du concept de code interspecifique et d'autre part le caractere especes specifiques des modeles meta-communicatifs qui constituent la condition d'une possibilite pour une communication interspecifique
A cable equalizer with 31 dB of adjustable peaking at 52 GHz

A differential broadband receiver equalizer targeting coaxial cable channels and data rates up to 70 Gbps was designed and fabricated in a 0. 13µm SiGe BiCMOS technology with fT of 230 GHz and fMAX of 280 GHz. The measured S-parameter response exhibits a single-ended peak gain of 12.2 dB at 52 GHz. The small signal frequency response is continuously adjustable to provide up to 31 dB of peaking between DC and 52 GHz. Equalization is performed at 70 Gbps for a coaxial cable with 7.2 dB of loss at 35 GHz and at 59 Gbps for a cable loss of 17.9 dB at 30 GHz. The circuit operates from 3.3 V and consumes 336.6 mW.
Basics of Feature Selection and Statistical Learning for High Energy Physics

This document introduces basics in data preparation, feature selection and learning basics for high energy physics tasks. The emphasis is on feature selection by principal component analysis, information gain and significance measures for features. As examples for basic statistical learning algorithms, the maximum a posteriori and maximum likelihood classifiers are shown. Furthermore, a simple rule based classification as a means for automated cut finding is introduced. Finally two toolboxes for the application of statistical learning techniques are introduced.
Reverse Engineering Approach in Molecular Evolution: Simulation and Case Study with Enzyme Proteins

We developed a method of reverse engineering to compare the behaviour the enzyme proteins with the existing standard concepts. Our work is based on the strong assumption from the evolutionary theory, about the rates of nucleotide substitutions; we use this in the reverse engineering approach to verify how far it can be justified. We applied here the simple models of nucleotide substitutions Nei and Gojobori in a more generalized form and used comparative genomic study with human, mouse and rat individually with related enzyme proteins. We then used Jukes and Cantor’s model to find out the corrected substitution rates. This paper describes the findings and the methodology in details.
Learning Templates for Artistic Portrait Lighting Analysis

Lighting is a key factor in creating impressive artistic portraits. In this paper, we propose to analyze portrait lighting by learning templates of lighting styles. Inspired by the experience of artists, we first define several novel features that describe the local contrasts in various face regions. The most informative features are then selected with a stepwise feature pursuit algorithm to derive the templates of various lighting styles. After that, the matching scores that measure the similarity between a testing portrait and those templates are calculated for lighting style classification. Furthermore, we train a regression model by the subjective scores and the feature responses of a template to predict the score of a portrait lighting quality. Based on the templates, a novel face illumination descriptor is defined to measure the difference between two portrait lightings. Experimental results show that the learned templates can well describe the lighting styles, whereas the proposed approach can assess the lighting quality of artistic portraits as human being does.
Systems Integration and Attitudes toward Greek Rural Life: A Case Study

This article addresses questions about the origin and maintenance ofattitudes toward life in the Greek village ofSami, Cephalonia, on thepart ofSami residents and circulating migrants from urban areas, as well as permanently returned migrants and Greek andforeign tourists. The interaction between local and extra-local systems is examined in an analysis ofmigration forms and processes, trade, agriculture, wage labor, other aspects ofproduction, changing consumption patterns, andfamilial and other social structures in the context of historical and present-day Greece, and the way all ofthese affect and are affected by ideas about life in Greek rural areas expressed in often contradictory negative, positive, and ambivalent attitudes. [systems theory, migration, economy, consumption, Greece]