Miracle-dz/UniFAR-FTUs huggingface dataset:
Questionnaire Survey and Analysis of Mobile Phone Network's Effects on Study and Life of College Students

sz2008peak@163.com Abstract. With the rapid development of the Internet, network's effects, especially mobile network's effects on study and life of college students are increasingly valued. Through the way of the questionnaire survey and analysis, learn effects on college students from use time of mobile network, time for study, network's efficiency sense, network hot spot, network integrity etc. The result shows that the mobile network has advantageous and disadvantageous effects on study and life of college students. Only guiding them to use mobile network reasonably and scientifically can promote their healthy growth.
A better model for generating test networks

Much of the work on routing algorithms, particularly for multicast, which has been done in the past has used fairly simple models to generate the topological graph which represents the hosts in the network. Some such random graphs bear little resemblance to data communication networks which are actually deployed. This paper proposes a more realistic model, incorporating hierarchy and redundancy, and is developed into a network generation algorithm. The approach described can be developed to provide more refined models in the future.
The advantage of errorless learning for the acquisition of new concepts' labels in alcoholics

Background Previous findings revealed that the acquisition of new semantic concepts' labels was impaired in uncomplicated alcoholic patients. The use of errorless learning may therefore allow them to improve learning performance. However, the flexibility of the new knowledge and the memory processes involved in errorless learning remain unclear. Method New concepts' labels acquisition was examined in 15 alcoholic patients and 15 control participants in an errorless learning condition compared with 19 alcoholic patients and 19 control subjects in a trial-and-error learning condition. The flexibility of the new information was evaluated using different photographs from those used in the learning sessions but representing the same concepts. All of the participants carried out an additional explicit memory task and an implicit memory task was also performed by subjects in the errorless learning condition. Results The alcoholic group in the errorless condition differed significantly from the alcoholic group in the trial-and-error condition but did not differ from the two control groups. There was no significant difference between results in the learning test and the flexibility task. Finally, in the alcoholic group, the naming score in the learning test was correlated with the explicit memory score but not with the implicit memory score. Conclusions Using errorless learning, alcoholics improved their abilities to learn new concepts' labels. Moreover, new knowledge acquired with errorless learning was flexible. The errorless learning advantage may rely on explicit rather than implicit memory processes in these alcohol-dependent patients presenting only mild to moderate deficits of explicit memory capacities.
Geostatistics and remote sensing using NOAA-AVHRR satellite imagery as predictive tools in tick distribution and habitat suitability estimations for Boophilus microplus ( Acari : Ixodidae ) in South America

Remote sensing based on NOAA (National Oceanographic and Atmosphere Administration) satellite imagery was used, together with geostatistics (cokriging) to model the correlation between the temperature and vegetation variables and the distribution of the cattle tick, Boophilus microplus (Canestrini), in the Neotropical region. The results were used to map the B. microplus habitat suitability on a continental scale. A database of B. microplus capture localities was used, which was tabulated with the AVHRR (Advanced Very High Resolution Radiometer) images from the NOAA satellite series. They were obtained at 10 days intervals between 1983 and 1994, with an 8 km resolution. A cokriging system was generated to extrapolate the results. The data for habitat suitability obtained through two vegetation and four temperature variables were strongly correlated with the known distribution of B. microplus (sensitivity 0.91; specificity 0.88) and provide a good estimation of the tick habitat suitability. This model could be used as a guide to the correct interpretation of the distribution limits of B. microplus. It can be also used to prepare eradication campaigns or to make predictions about the effects of global change on the distribution of the parasite. # 1999 Elsevier Science B.V. All rights reserved.
On the Closest Vector Problem with a Distance Guarantee

We present a new efficient algorithm for the search version of the approximate Closest Vector Problem with Preprocessing (CVPP). Our algorithm achieves an approximation factor of O(n/√log n), improving on the previous best of O(n1.5) due to Lag arias, Lenstra, and Schnorr [1]. We also show, somewhat surprisingly, that only O(n) vectors of preprocessing advice are sufficient to solve the problem (with the slightly worse approximation factor of O(n)). We remark that this still leaves a large gap with respect to the decisional version of CVPP, where the best known approximation factor is O(√n/log n) due to Aharonov and Regev [2]. To achieve these results, we show a reduction to the same problem restricted to target points that are close to the lattice and a more efficient reduction to a harder problem, Bounded Distance Decoding with preprocessing (BDDP). Combining either reduction with the previous best-known algorithm for BDDP by Liu, Lyubashevsky, and Micciancio [3] gives our main result. In the setting of CVP without preprocessing, we also give a reduction from (1+∈)γ approximate CVP to γ approximate CVP where the target is at distance at most 1+1/∈ times the minimum distance (the length of the shortest non-zero vector) which relies on the lattice sparsification techniques of Dadush and Kun [4]. As our final and most technical contribution, we present a substantially more efficient variant of the LLM algorithm (both in terms of run-time and amount of preprocessing advice), and via an improved analysis, show that it can decode up to a distance proportional to the reciprocal of the smoothing parameter of the dual lattice [5]. We show that this is never smaller than the LLM decoding radius, and that it can be up to an wide Ω(√n) factor larger.
Is the Image Quality of I-124-PET Impaired by an Automatic Correction of Prompt Gammas?

Objectives The aim of this study is to evaluate the quality of I-124 PET images with and without prompt gamma compensation (PGC) by comparing the recovery coefficients (RC), the signal to noise ratios (SNR) and the contrast to F-18 and Ga-68. Furthermore, the influence of the PGC on the quantification and image quality is evaluated. Methods For measuring the image quality the NEMA NU2-2001 PET/SPECT-Phantom was used containing 6 spheres with a diameter between 10 mm and 37 mm placed in water with different levels of background activity. Each sphere was filled with the same activity concentration measured by an independently cross-calibrated dose calibrator. The “hot” sources were acquired with a full 3D PET/CT (Biograph mCT®, Siemens Medical USA). Acquisition times were 2 min for F-18 and Ga-68, and 10 min for I-124. For reconstruction an OSEM algorithm was applied. For I-124 the images were reconstructed with and without PGC. For the calculation of the RCs the activity concentrations in each sphere were determined; in addition, the influence of the background correction was studied. Results The RCs of Ga-68 are the smallest (79%). I-124 reaches similar RCs (87% with PGC, 84% without PGC) as F-18 (84%). showing that the quantification of I-124 images is similar to F-18 and slightly better than Ga-68. With background activity the contrast of the I-124 PGC images is similar to Ga-68 and F-18 scans. There was lower background activity in the I-124 images without PGC, which probably originates from an overcorrection of the scatter contribution. Consequently, the contrast without PGC was much higher than with PGC. As a consequence PGC should be used for I-124. Conclusions For I-124 there is only a slight influence on the quantification depending on the use of the PGC. However, there are considerable differences with respect to I-124 image quality.
Estimating the Parameters of Selection on Nonsynonymous Mutations in Drosophila pseudoobscura and D. miranda

We present the results of surveys of diversity in sets of >40 X-linked and autosomal loci in samples from natural populations of Drosophila miranda and D. pseudoobscura, together with their sequence divergence from D. affinis. Mean silent site diversity in D. miranda is approximately one-quarter of that in D. pseudoobscura; mean X-linked silent diversity is about three-quarters of that for the autosomes in both species. Estimates of the distribution of selection coefficients against heterozygous, deleterious nonsynonymous mutations from two different methods suggest a wide distribution, with coefficients of variation greater than one, and with the average segregating amino acid mutation being subject to only very weak selection. Only a small fraction of new amino acid mutations behave as effectively neutral, however. A large fraction of amino acid differences between D. pseudoobscura and D. affinis appear to have been fixed by positive natural selection, using three different methods of estimation; estimates between D. miranda and D. affinis are more equivocal. Sources of bias in the estimates, especially those arising from selection on synonymous mutations and from the choice of genes, are discussed and corrections for these applied. Overall, the results show that both purifying selection and positive selection on nonsynonymous mutations are pervasive.
Validitas Utrecht-Management Of Identity Commitments Scale (U-MICS) Versi Indonesia: Struktur Faktor, Invariansi Pengukuran Gender, dan Usia

The purpose of this study was to examine the psychometric properties of the Indonesian version of the U-MICS, a measure three identity dimensions. Participants were 910 adolescents (12-21 years old). The Confirmatory Factor Analyses and Multi-Group Analyses were used to examine the factor structure, gender, and age measurement invariance of the Indonesian version of the U-MICS. We further tested the gender and age differences using Multivariate Analysis of Variance. The results indicated that the factor structure of Indonesia version of the U-MICS with a solution three factors was very fit with data and there was measurement invariance across gender and age groups. Gender and age differences in identity dimensions were also found. The results suggest that the Indonesian version of the U-MICS was a measurement tool that has the consistency of structure factors when used to measure the identity dimensions in Indonesian adolescents. Abstrak : Tujuan dari penelitian ini untuk menguji properti psikometris dari U-MICS versi Indonesia yang mengukur tiga dimensi identitas. Partisipan yang terlibat sebanyak 910 remaja (12-21 tahun). Analisis konfirmatori faktor dan analisis multi-kelompok digunakan untuk menguji struktur faktor, invariansi pengukuran gender, dan usia dari U-MICS versi Indonesia. Penulis menguji perbedaan gender dan usia dengan menggunakan analisis varians multivariat. Hasil analisis mengindikasikan bahwa struktur faktor dari U-MICS versi Indonesia dengan solusi tiga faktor sesuai dengan data dan terdapat invariansi pengukuran antar kelompok gender dan usia. Perbedaan gender dan usia pada dimensi identitas juga ditemukan. Hasil menunjukkan bahwa U-MICS versi Indonesia merupakan alat ukur yang memiliki konsistensi struktur faktor ketika digunakan untuk mengukur dimensi identitas pada remaja Indonesia.
A joint utility scheduler and SDMA Resource Allocation for Mobile WiMAX networks

In this paper a jointly utility packet scheduler and SDMA-based Dynamic Resource Allocation (DRA) architecture is proposed under the framework of Mobile WiMAX networks. Besides of time and frequency domains, users can be assigned spatial beams for information transfer, provided the degradation in signal quality for users already assigned slots in the map of resources, with different spatial beams is not affected to the point of compromising the user satisfaction for the quality of service. Performance evaluation of the proposed architecture is undertaken by means of System Level Simulations for a realistic network layout, fully compatible with the IEEE802.16e standard. Performance is evaluated by means of the percentage of satisfied users for a given range of the amount of active users in the system. Simulations with the Full Queue traffic mode are performed in order to estimate the gains in cell capacity, achieved with the SDMA-based DRA, over a simpler non-SDMA-based DRA.
Entwicklung eines therapeutischen Kletterprogramms und Evaluation seiner Effekte auf Personen mit Multipler Sklerose

Die chronisch progrediente Erkrankung Multiple Sklerose betrifft uberwiegend junge Erwachsene und ist bis heute nicht heilbar. In der Rehabilitation besteht Bedarf an hochwertigen, zielgerichteten Interventionsprogrammen. Therapeutisches Klettern ist neu, hoch motivierend und erlaubt es die unterschiedlichen Symptome der Personen mit Multiple Sklerose zu adressieren. Diese Arbeit hat neben einer anwendungsorientierten Programmentwicklung im therapeutischen Klettern, eine empirische Aufarbeitung der kausalen Ursache-Wirkungsbeziehung zwischen dem therapeutischen Klettern und motorischen und psychosozialen Parametern bei Multiple Sklerose zum Ziel.
Towards Efficient Proofs of Retrievability in Cloud Storage

Proofs of Retrievability (POR) is a cryptographic method for remotely auditing the integrity of files stored in the cloud, without keeping a copy of the original files in local storage. In a POR scheme, a user Alice backups her data file together with some authentication data to a potentially dishonest cloud storage server Bob. Later, Alice can periodically and remotely verify the integrity of her data stored with Bob using the authentication data, without retrieving back the data file during a verification. Besides security, performances in communication, storage overhead and computaton are major considerations. Shacham and Waters [1] gave a fast scheme with O(s) communication bits and a factor of 1/s file size expansion. Although Ateniese et al. [2] achieves constant communication requirement with the same 1/s storage overhead, it requires intensive computation in the setup and verification. In this paper, we incorporate a recent construction of constant size polynomial commitment scheme into Shacham and Waters [1] scheme. The resulting scheme requires constant communication bits (particularly, 720 bits if elliptic curve is used or 3312 bits if a modulo group is used) per verification and a factor of 1/s file size expansion, and its computation in the setup and verification is significantly reduced compared to Ateniese et al. [2]. Essentially, Ateniese et al. [2] requires one group multiplication per each bit of the data file in the setup, while the proposed scheme requires one group multiplication per each chunk of data bits (160 bits per chunk if elliptic curve is used or 1024 bits per chunk if modulo group is used). The experiment results show that our proposed scheme is indeed efficient and practical. Our security proof is based on Strong Diffie-Hellman Assumption.
Parameter estimation for induction motors to study the effects of voltage, frequency and slip

Parameter estimation for cage-induction machines is studied by means of 2D finite-element (FE) computations. The estimation methods are based on the time-harmonic and time-stepping FE analyses. The parameters are estimated in a wide operation range. The main purpose of the paper is to study how the steady-state and small-signal parameters vary in the case of a cage-induction machine designed for a frequency converter supply. The estimation is performed at 13 different supply frequencies. At every frequency, several flux levels are studied. Slips that provide the best efficiency are looked for and the parameters are estimated at these points. For comparison, the parameters of a typical grid-supplied cage-induction machine are also estimated at several slips and flux levels.
Exploiting Technical Terminology for Knowledge Management

In the world of globalization, it is essential for companies to be able to effectively manage their knowledge capital. Being capable to effectively create, store and retrieve institutional information is a crucial competitive advantage. Readily accessible Knowledge is needed in many business’ aspect and tasks: support decision making, profile work processes, empower in-house knowledge workers (as well as external partners and clients). In this paper we focus on the importance of terminology management as one vital aspect within a corporate Knowledge Management strategy.
An Optimized EV Charging Model Considering TOU Price and SOC Curve

Large-scale deployment of electric vehicles (EVs) is anticipated in the foreseeable future. Heavy intermittent charging load of EVs will create bottlenecks in supplying capacity and expose power system to severe security risks. In this paper, we propose an intelligent method to control EV charging loads in response to time-of-use (TOU) price in a regulated market. First, an optimized charging model is formulated to minimize the charging cost. Then, a heuristic method is implemented to minimize the charging cost considering the relation between the acceptable charging power of EV battery and the state of charge (SOC). Finally, the charging cost and energy demand in different time intervals are compared for both typical charging pattern and optimized charging pattern. Results show that the optimized charging pattern has great benefit in reducing cost and flatting the load curve if the peak and valley time periods are partitioned appropriately.
Extraction of Arabic Standard Micromelody

Problem statement: In the early days of speech synthesis research the obvious focus of attention was intelligibility. But many researchers agree that the major remaining obstacle to fully acceptable synthetic speech is that it continues to be insufficiently natural. Approach: In this study, we exploited microvariations of fundamental frequency (F0) of speech (intrinsic and co-intrinsic effects) to extract micromelody effect in Standard Arabic in view to improve synthesis speech systems. Results: We found that Arabic voiced consonants micromelody effect exists and seems to be possible to be included in a prosodic generating unit by a simple model. Conclusion: This preliminary result need to be tested on larger corpora and must be following by incorporating a microprosodic model of duration and intensity.
The Storage And Analytics Potential Of HBase Over The Cloud: A Survey

Apache HBase, a mainstay of the emerging Hadoop ecosystem, is a NoSQL key-value and column family hybrid database which, unlike a traditional RDBMS, is intentionally designed to scalably host large, semistructured, and heterogeneous data. Prime examples of such data are biosignals which are characterized by large volume, high volatility, and inherent multidimensionality. This paper reviews how biomedical engineering has recently taken advantage of HBase, with an emphasis over cloud, in order to reliably host cardiovascular and respiratory time series. Moreover, the deployment of offline biomedical analytics over HBase is explored.
The CFHT Open Star Cluster Survey. I. Cluster Selection and Data Reduction

We present this paper in conjunction with a companion paper as the first results in the Canada-France-Hawaii Telescope Open Star Cluster Survey. This survey is a large BVR imaging data set of 19 open star clusters in our Galaxy. This data set was taken with the CFH12K mosaic CCD (42′ × 28′), and the majority of the clusters were imaged under excellent photometric, subarcsecond seeing, conditions. The combination of multiple exposures extending to deep (V ∼ 25) magnitudes with short (≤10 s) frames allows for studies ranging from faint white dwarf stars to bright turnoff, variable, and red giant stars. The primary aim of this survey is to catalog the white dwarf stars in these clusters and establish observational constraints on the initial-final mass relationship for these stars and the upper mass limit to white dwarf production. Additionally, we hope to better determine the properties of the clusters, such as age and distance, and also test evolution and dynamical theories by analyzing luminosity and mass functions. In order to more easily incorporate these data in further studies, we have produced a catalog of positions, magnitudes, colors, and stellarity confidence for all stars in each cluster of the survey. This reduction, along with the computed calibration parameters for all three nights of the observing run will encourage others to use these data in different astrophysical studies outside of our goals. Additionally, the data set is reduced using the new TERAPIX photometric reduction package, PSFex, which is found to compare well with other packages. This paper is intended both as a source for the astronomical community to obtain information on the clusters in the survey and as a detailed reference of reduction procedures for further publications of individual clusters. We discuss the methods employed to reduce the data and compute the photometric catalog. We reserve both the scientific results for each individual cluster and global results from the study of the entire survey for future publications. The first of these further publications is devoted to the old rich open star cluster, NGC 6819, and appears as a companion paper in the same issue of the Journal.
CACSS: Towards a Generic Cloud Storage Service

The advent of the cloud era has yielded new ways of storing, accessing and managing data. Cloud storage services enable the storage of data in an inexpensive, secure, fast, reliable and highly scalable manner over the internet. Although giant providers such as Amazon and Google have made a great success of their services, many enterprises and scientists are still unable to make the transition into the cloud environment due to often insurmountable issues of privacy, data protection and vendor lock-in. These issues demand that it be possible for anyone to setup or to build their own storage solutions that are independent of commercially available services. However, the question persists as to how to provide an effective cloud storage service with regards to system architecture, resource management mechanisms, data reliability and durability, as well as to provide proper pricing models. The aim of this research is to present an in-depth understanding and analysis of the key features of generic cloud storage services, and of how such services should be constructed and provided. This is achieved through the demonstration of design rationales and the implementation details of a real cloud storage system (CACSS). The method by which different technologies can be combined to provide a single excellent performance, highly scalable and reliable cloud storage system is also detailed. This research serves as a knowledge source for inexperienced cloud providers, giving them the capability of swiftly setting up their own cloud storage services.