Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonextensive distributions of asteroid rotation periods and diameters

Context. We investigate the distribution of asteroid rotation periods from different regions of the solar system and diameter distributions of near-Earth asteroids (NEAs). Aims. We aim to verify if nonextensive statistics satisfactorily describes the data. Methods. Light curve data were taken from the Planetary Database System (PDS) with Rel ≥ 2. We also considered the taxonomic class and region of the solar system. Data of NEA were taken from the Minor Planet Center. Results. The rotation periods of asteroids follow a q-Gaussian with q = 2.6 regardless of taxonomy, diameter, or region of the solar system of the object. The distribution of rotation periods is influenced by observational bias. The diameters of NEAs are described by a q-exponential with q = 1.3. According to this distribution, there are expected to be 994 ± 30 NEAs with diameters greater than 1k m.
Emotion-Focused Therapy: Coaching Clients to Work Through Their Feelings

This handbook offers therapists an approach to helping clients live in harmony with head and heart. Leslie Greenberg proposes that, rather than controlling or avoiding emotions, clients can learn from their own bodily reactions and begin to act sensibly on them. Expressing emotion in ways that are appropriate to context is a highly complex skill. Offering clinical wisdom, practical guidance and case illustration, the volume presents an empirically-supported model of training clients to attain emotional wisdom.
Wellness of Undergraduates: Comparisons of Traditional and Nontraditional Students

Wellness scores of 1,249 traditional and 318 nontraditional undergraduate college students revealed low levels of wellness in multiple areas in comparison with non-student adults and within-group differences according to demographic variables. Profiles of wellness for traditional- and nontraditional-age students revealed significant differences on 4 subscales. Nontraditional students of color scored lower than traditional Caucasian students on Total Wellness and several component indices. Implications for student development and counseling programs are discussed.
Investigating the dependence of the calibration parameter M on echo time

The calculation of the calibration parameter M, which represents the maximum theoretically possible blood oxygen level dependent (BOLD) signal increase, is an essential intermediate step in any calibrated fMRI experiment. To better compare M values obtained across different studies, it is common to scale M values from their original BOLD echo time (TE) to a different echo time according to the theory that M is directly proportional to TE. To the best of our knowledge, this relationship has never been directly tested.
Considering Reading Cognitively: A Review

Several studies of reading are reviewed with particular reference to the type of code, visual or phonological, adopted by the reader to obtain meaning from printed symbols. Integrated into the review are reports of recent studies on phonological encoding in children, skilled readers, poor readers, and the deaf. The role of orthography in pre- and postlexical encoding is also reviewed and it is concluded that phonological encoding takes place and is prelexical for pronunciation tasks, but when sentences rather than single words are presented to the reader, phonological encoding, if it occurs at all, is probably postlexical.
Regeneration of Uterine Horn Using Porcine Small Intestinal Submucosa Grafts in Rabbits

Tubal factor infertility may be reversed using porcine small-intestinal submucosa (SIS). The method uses as a model the New Zealand White rabbit uerine horn. In surgery, SIS grafts were prepared from porcine jejunum; the uterine horn segment was resected and a graft was placed; then the contralateral adnexa was resected. Fecundability was tested with natural mating. Three out of six rabbits became pregnant. Gross and microscopic examination confirmed regeneration of all tissue layers. Thus, this study determined that SIS facilitates successful regeneration of uterine horn morphology in a manner similar to that observed in other tissues and species.
Nested Conjugate Gradient Algorithm With Nested Preconditioning for Non-Linear Image Restoration

We develop a novel optimization algorithm, which we call nested non-linear conjugate gradient (CG) algorithm (NNCG), for image restoration based on quadratic data fitting and smooth non-quadratic regularization. The algorithm is constructed as a nesting of two conjugate gradient iterations. The outer iteration is constructed as a preconditioned non-linear CG algorithm; the preconditioning is performed by the inner CG iteration that is linear. The inner CG iteration, which performs preconditioning for outer CG iteration, itself is accelerated by an another FFT-based non-iterative preconditioner. We prove that the method converges to a stationary point for both convex and non-convex regularization functionals. We demonstrate experimentally that proposed method outperforms the well-known majorization-minimization method used for convex regularization, and a non-convex inertial-proximal method for non-convex regularization functional.
Traffic Classification Technique in Computer Networks

-Traffic classification enables a variety of applications and topics, including Quality of Service, security, monitoring, and intrusion-detection that are of use to researchers, accountants, network operators and end users. Capitalizing on network traffic that had been previously hand-classified provides with training and testing data-sets. The classification of network traffic can be done using Machine Learning Method, for this the use of simulating tools like NS2 can be used. It requires network protocol headers and the properties of unknown traffic for a successful classification stage.
Expression pattern and action analysis of genes associated with the responses to chemical stimuli during rat liver regeneration.

AIM To study the genes associated with the responses to chemokines, nutrients, inorganic substances, organic substances and xenobiotics after rat partial hepatectomy (PH) at transcriptional level. METHODS The associated genes involved in the five kinds of responses were obtained from database and literature, and the gene expression changes during liver regeneration in rats were checked by the Rat Genome 230 2.0 array. RESULTS It was found that 60, 10, 9, 6, 26 genes respectively participating in the above five kinds of responses were associated with liver regeneration. The numbers of initially and totally expressed genes occurring in the initial phase of liver regeneration (0.5-4 h after PH), G(0)/G(1) transition (4-6 h after PH), cell proliferation (6-66 h after PH), cell differentiation and structure-functional reconstruction (66-168 h after PH) were 51, 19, 52, 6 and 51, 43, 98, 68 respectively, illustrating that the associated genes were mainly triggered in the initiation and transition stages, and functioned at different phases. According to their expression similarity, these genes were classified into 5 groups: only up-regulated (47), predominantly up-regulated (18), only down-regulated (24), predominantly down-regulated (10), and up- and down-regulated (8). The total times of their up-regulated and down-regulated expression were 441 and 221, demonstrating that the number of up-regulated genes is more than that of the down-regulated genes. Their time relevance and gene expression patterns were classified into 14 and 26 groups, showing that the cell physiological and biochemical activities were staggered, diversified and complicated during liver regeneration in rats. CONCLUSION The chemotaxis was enhanced mainly in the forepart and metaphase of LR. The response of regenerating liver to nutrients and chemical substances was increased, whereas that to xenobiotics was not strong. One hundred and seven genes associated with LR play important roles in the responses to chemical substances.
Vehicular Node Localization Using Received-Signal-Strength Indicator

Vehicle-to-vehicle communications via dedicated-short-range-communication (DSRC) devices will enable safety applications such as cooperative collision warning. These devices use the IEEE 802.11p standard to support low-latency vehicle-to-vehicle and vehicle-to-infrastructure communications. However, a major challenge for the cooperative collision warning is to accurately determine the location of vehicles. In this paper, we present a novel cooperative-vehicle-position-estimation algorithm which can achieve a higher accuracy and more reliability than the existing global-positioning-system-based positioning solutions by making use of intervehicle-distance measurements taken by a radio-ranging technique. Our algorithm uses signal-strength-based intervehicle-distance measurements, vehicle kinematics, and road maps to estimate the relative positions of vehicles in a cluster. We have analyzed our algorithm by examining its performance-bound, computational-complexity, and communication-overhead requirements. In addition, we have shown that the accuracy of our algorithm is superior to previously proposed localization algorithms.
A Multi-Focus Zoomable Interface for Multi-Facet Exploration of Music Collections

A common way to support exploratory music retrieval scenarios is to give an overview using a neighborhood-preserving projection of the collection onto two dimensions. However, neighborhood cannot always be preserved in the projection because of the dimensionality reduction. Furthermore, there is usually more than one way to look at a music collection and therefore different projections might be required depending on the current task and the user’s interests. We describe an adaptive zoomable interface for exploration that addresses both problems: It makes use of a complex non-linear multi-focal zoom lens that exploits the distorted neighborhood relations introduced by the projection. We further introduce the concept of facet distances representing different aspects of music similarity. Given user-specific weightings of these aspects, the system can adapt to the user’s way of exploring the collection by manipulation of the neighborhoods as well as the projection.
Planning equational verification in CCS

Most efforts to automate the formal verification of communicating systems have centred around finite-state systems (FSSs). However, FSSs are incapable of modelling many practical communicating systems, and hence there is interest in a novel class of problems, which we call VIPSs (Value-passing Infinite-state Parameterised Systems). Existing approaches using model checking over FSSs are insufficient for VIPSs, due to their inability both to reason with and about domain-specific theories, and to cope with systems having an unbounded or arbitrary state space. We use the Calculus of Communicating Systems (CCS) with parameterised constants to express and specify VIPSs. We use the laws of CCS to conduct the verification task. This approach allows us to study communicating systems, regardless of their state space, and the data such systems communicate. Automating theorem proving in this system is an extremely difficult task. We provide automated methods for CCS analysis; they are applicable to both FSSs and VIPSs. Adding these methods to the Clam proof-planner, we have implemented an automated theorem prover that is capable of dealing with problems outside the scope of current methods. This paper describes these methods, gives an account as to why they work and provides a short summary of experimental results.
NOTCH 1 mutations influence survival in chronic lymphocytic leukemia patients

Background: NOTCH1 PEST domain mutations in chronic lymphocytic leukemia have recently been shown to be of prognostic relevance. Both NOTCH1 and NOTCH2 are constitutively activated in B-cell CLL but not expressed in normal B cells and may be involved in survival and resistance to apoptosis in CLL. We screened for mutations in different parts of both NOTCH1 and NOTCH2 genes and related the changes to survival and other known risk factors. Methods: In a cohort of 209 CLL patients, we used single strand conformation analysis to determine which of the samples carrying the NOTCH mutations and direct dideoxy sequencing was used to determine the exact nucleotide changes. Kaplan-Meier curves and log rank test were used to determine overall survival for NOTCH1 mutated cases and Cox regression analysis was used to calculate hazardous ratios. Results: In the present study, we found NOTCH1 PEST domain mutations in 6.7% of the cases. A shorter overall survival was found in patients with NOTCH1 mutations compared to wildtype (p = 0.049). Further, we also examined the extracellular and the heterodimerisation domains of the NOTCH1 gene and the PEST domain and heterodimerisation domain of the NOTCH2 gene, but no mutations were found in these regions. NOTCH1 mutations were most commonly observed in patients with unmutated IGHV gene (10/14), and associated with a more aggressive disease course. In addition, NOTCH1 mutations were almost mutually exclusive with TP53 mutations. In the combined group of NOTCH1 (6.7%) or TP53 (6.2%) mutations, a significant difference in overall survival compared to the wildtype NOTCH1 and TP53 was found (p = 0.002). Conclusions: Both NOTCH1 and TP53 mutations seem to be independent predictive markers for worse outcome in CLL-patients and this study emphasizes the contention that NOTCH1 mutations is a novel risk marker.
Adaptive Processing of User-Defined Aggregates in Jaql

Adaptive techniques can dramatically improve performance and simplify tuning for MapReduce jobs. However, their implementation often requires global coordination between map tasks, which breaks a key assumption of MapReduce that mappers run in isolation. We show that it is possible to preserve faulttolerance, scalability, and ease of use of MapReduce by allowing map tasks to utilize a limited set of highlevel coordination primitives. We have implemented these primitives on top of an open source distributed coordination service. We expose adaptive features in a high-level declarative query language, Jaql, by utilizing unique features of the language, such as higher-order functions and physical transparency. For instance, we observe that maintaining a small amount of global state could help improve performance for a class of aggregate functions that are able to limit the output based on a global threshold. Such algorithms arise, for example, in Top-K processing, skyline queries, and exception handling. We provide a simple API that facilitates safe and efficient development of such functions.
Robust Micromachined Gyroscopes for Automotive Applications

This paper reports a micromachined gyroscope with a 2-DoF sense-mode oscillator that provides a flat region in the sense-mode frequency response curve, where the amplitude and phase of the response are insensitive to parameter fluctuations. The sensitivity is also improved by utilizing dynamical amplification of oscillations in the 2-DoF sense-mode oscillator. Thus, improved long-term stability and robustness to fabrication variations, structural and thermal parameter fluctuations and vacuum degradations are achieved, solely by the mechanical system design. Bulk micromachined prototype gyroscopes exhibited a measured noise-floor of 0.64 0 /s/ √ Hz over a 50Hz bandwidth at atmospheric pressure. The sensemode response in the flat operating region was also experimentally demonstrated to be inherently insensitive to pressure, temperature and DC bias variations.
DCatch: Automatically Detecting Distributed Concurrency Bugs in Cloud Systems

In big data and cloud computing era, reliability of distributed systems is extremely important. Unfortunately, distributed concurrency bugs, referred to as DCbugs, widely exist. They hide in the large state space of distributed cloud systems and manifest non-deterministically depending on the timing of distributed computation and communication. Effective techniques to detect DCbugs are desired. This paper presents a pilot solution, DCatch, in the world of DCbug detection. DCatch predicts DCbugs by analyzing correct execution of distributed systems. To build DCatch, we design a set of happens-before rules that model a wide variety of communication and concurrency mechanisms in real-world distributed cloud systems. We then build runtime tracing and trace analysis tools to effectively identify concurrent conflicting memory accesses in these systems. Finally, we design tools to help prune false positives and trigger DCbugs. We have evaluated DCatch on four representative open-source distributed cloud systems, Cassandra, Hadoop MapReduce, HBase, and ZooKeeper. By monitoring correct execution of seven workloads on these systems, DCatch reports 32 DCbugs, with 20 of them being truly harmful.
Activity Recognition Applications from Contextual Video-Text Fusion

In this paper, we propose a demonstration of our capabilities in fusing information extracted from correlated video and text documents. We generate a probabilistic association between entities mentioned in text and detected in video data by jointly optimizing the measure of appearance and behavior similarity. We manage uncertainty that arises from non-overlapping (conflicting) features in the sources by maintaining multiple hypotheses. In work on synthetic data that have few overlapping features between sources, we have shown that our method of soft fusion has increased activity recognition scores over both single source processing and non-probabilistic (hard) fusion. When sources have over 60% overlapping features, hard fusion outperforms single source and soft fusion. Our approach is flexible to determine whether soft or hard fusion is appropriate for a dataset and selects the correct fusion algorithm to yield the highest activity recognition results.
Social Environment Contexts of Trait Emotional Intelligence

Two studies set out to provide information regarding social environment contexts of trait emotional intelligence. In an initial exploratory study, participants with higher emotional intelligence were associated with close others of high emotional intelligence. A second longitudinal study examined the effect of social environments comprising higher or lower emotional intelligence on changes in emotional intelligence of residents in these environments. This study assessed the emotional intelligence and subjective well-being of residents of colleges at the start of a semester and again three months later. A higher composite college residence emotional intelligence index predicted an increase in participants' emotional intelligence and positive affect. These effects were especially strong for first-semester residents. The results offer new information regarding social environment contexts of trait emotional intelligence and extend findings regarding contagion of emotion and transmission of individual differences in complex emotion processing.
The contribution of international studies on Educational Effectiveness: Current and future directions

This paper discusses the contribution of international studies on educational effectiveness in the light of 4 papers presented at the new ICSEI Methodology of Research and Effectiveness (MORE) Network in Barcelona in January 2005 and published in this issue of the journal. A brief historical overview is used to provide a context for these papers and a number of themes are identified in relation to the secondary analysis of international datasets such as TIMSS and PISA. The value of creating a new international teacher observation and feedback instrument to facilitate collaborative international research is discussed. In addition, the paper discusses the value of comparative studies of education policy in different national systems using the example of a high profile study of successful countries (in terms of PISA 2000 results) initiated by the Deutsches Institut für Internationale Pädagogische Forschung to inform a review of the German system.
A Mobility Model with Group Partitioning for Wireless Ad Hoc Networks

In this paper, we propose a novel group mobility model, called reference region group mobility (RRGM) model, which can be used in the description of group motion behavior as well as individual movement. This model is designed to be applicable to many different scenarios, such as military operation, search and rescue, exhibition hall visiting, building search, etc., where a group may be partitioned into a number of smaller groups and groups may merge whenever necessary. Moreover, by using the density-based approach, our model can control the size of the region to be covered by a group. Our main contribution is on the effectiveness of modeling group mobility scenarios with group partitioning and merging, which are most likely to be found in ad hoc networks
Self-perceived popularity in early adolescence

This study examined the accuracy of sixth- and seventh-grade boys’ and girls’ self-perceived popularity within a group of same- and opposite-gender peers. The links between popularity, self-perceived popularity, and the interaction of these variables in relation to girls’ and boys’ loneliness was also explored. The results showed that boys and girls overestimated their popularity but overestimations were greater when self-perceptions were compared with perceptions of opposite- rather than same-gender peers. Perceiving oneself as popular, as well as actually being perceived as popular by others, was related to less loneliness in both boys and girls. The interaction between self-perceived popularity and actual popularity did not explain significant variance in loneliness above and beyond the contributions of actual and self-perceived popularity.
The development and evaluation of the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP©) for use by healthcare staff.

BACKGROUND The early identification of malnutrition and nutrition risk through nutrition screening is common practice in adult clinical care but, in children, this has been hampered by the lack of an appropriate nutrition screening tool. The present study aimed to develop and evaluate a simple, child-specific nutrition screening tool for administration by non-nutrition healthcare professionals. METHODS In a two-phase observational study, significant predictors of nutrition risk were identified using a structured questionnaire. These were then combined to produce a nutrition screening tool. For evaluation purposes, the reliability, sensitivity and specificity of the newly-developed Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP(©)) were estimated by comparing the classification of nutrition risk using the tool with that determined by a full nutritional assessment by a registered dietitian. RESULTS A total of 122 children were recruited for development phase and a separate cohort of 238 children was recruited for the evaluation phase. Low percentile weight for age, reported weight loss, discrepancy between weight and height percentile and recently changed appetite were all identified as predictors of nutrition risk. These predictors, together with the expected nutrition risk of clinical diagnoses, were combined to produce STAMP(©). Evaluation of STAMP(©) demonstrated fair to moderate reliability in identifying nutrition risk compared to the nutrition risk classification determined by a registered dietitian (κ = 0.541; 95% confidence interval = 0.461-0.621). Sensitivity and specificity were estimated at 70% (51-84%) and 91% (86-94%), respectively. CONCLUSIONS The present study describes the development and evaluation of a new nutrition screening tool specifically for use in a UK general paediatric inpatient population.