Miracle-dz/UniFAR-FTUs huggingface dataset:
Another Look at Forecast Accuracy Metrics for Intermittent Demand

Some traditional measurements of forecast accuracy are unsuitable for intermittent demand data because they can give infinite or undefined values. Rob Hyndman summarizes these forecast accuracy metrics and explains their potential failings. He also introduces a new metric-the mean absolute scaled error (MASE)-which is more appropriate for intermittent-demand data. More generally, he believes that the MASE should become the standard metric for comparing forecast accuracy across multiple time series. Copyright International Institute of Forecasters, 2006
Adaptive Organizational Behavior of School Organizations: An Exploratory Study

Although school administrators continually have to introduce internal organizational changes that allow them to cope with changes in their environments, little research on the adaptive organizational behavior of school organizations is available. This study collected exploratory data on a group of organizational adjustment variables (procedural, personnel, process, structural, and strategic) among a group of schools and school districts. The results provide a preliminary basis for suggesting that the adaptive organizational behavior of schools and school districts may be influenced by perceived environmental uncertainty and, to a lesser extent, by organization size. School administrators appeared to choose courses of actions or adjustments that solve their problems with minimum cost to the organization. Adaptation as a factor essential to organizational performance is discussed.
Motion visual stimulus for SSVEP-based BCI system

Steady-state visual evoked potential (SSVEP)- based brain-computer interface (BCI) system is one of the most accurate assistive technologies for the persons with severe disabilities. However, the existing visual stimulation patterns still lead to the eyes fatigue. Therefore, in this paper, we propose a novel visual stimulator using the idea of the motion visual stimulus to reduce the eyes fatigue while maintaining the merit of the SSVEP phenomena. Two corresponding feature extractions, i.e. 1) attention detection and 2) SSVEP detection, are also proposed to capture the phenomena of the proposed motion visual stimulus. Two-class classification accuracy of both features is approximately 80%, where the maximum accuracy using the attention detection is 90%, and the maximum accuracy using the SSVEP detection is 100%.
Reduction of CNT Interconnect Resistance for the Replacement of Cu for Future Technology Nodes

Replacement of Cu interconnects with carbon nanotubes (CNTs) has been hindered by the high resistance of the CNTs. In this paper, methods for reducing CNT interconnect sheet resistance are presented. Functionalization with electron accepting molecules decreased sheet resistance up to 60%, giving a minimum sheet resistance of ~55 Ω/sq. Alignment of CNTs within the interconnect further reduced resistance. In contrast to nonaligned fabrics, aligned CNT interconnects maintained a constant resistance as CNT line width decreased, demonstrating a path for scaling to smaller technology nodes. In addition, interconnects made with single-walled CNTs consistently showed lower resistance than those with multiwalled CNTs. Finally, a projected RC delay was calculated that demonstrates improved performance below the 45 nm technology node for CNTs compared to Cu. To achieve the desired RC delay improvement, the aspect ratio of the CNT interconnect should be scaled appropriately and combined with an additional reduction in CNT interconnect sheet resistance to 10 Ω/sq, which is feasible based on the functionalization and alignment methods presented here.
Policy-based admission control in GMPLS optical networks

In this paper we present a policy-based admission control architecture responsible for managing the installation and aggregation of packet-based LSPs within lightpaths (optical LSPs). We have defined some policies in order to reduce the optical network overhead to remove and reroute lower priority LSPs. The architecture is composed of an admission control and a policy manager and the performed simulations indicated that the number of LSP removals is smaller when policies are applied.
The Demand for Money in Australia: New Tests on an Old Topic

The breakdown of conventional short-run demand functions for money in a number of countries, including Australia, is well known. In recent years, there has been a rush of publications, both overseas and in Australia, concerning the long-run relationships between the money stock, activity and interest rates, utilising the technique of cointegration. This paper seeks to contribute to knowledge about these empirical relationships, and their robustness. It reviews some basics of money demand theory, summarises the results of earlier papers on cointegrating relationships in the Australian data and tests for the existence of cointegration between a number of definitions of money aggregates, activity and interest rates. This very wide-ranging investigation is designed to explore the sensitivity of relationships to sensible specification changes. Cointegration between money, income and interest rates is difficult to find, and the outcomes are sensitive to the definition of activity and interest rate and to the testing procedure.
Executive dysfunction in children with neurofibromatosis type 1: A study of action planning

Abstract In this study, we tested the hypothesis that action planning is impaired in children with neurofibromatosis type 1 (NF1). Thirty-six children with NF1 were pair-matched to 36 healthy controls (HC) on age (range, 7–12 years), sex, and parental education level, and both groups were administered three action-planning tasks. To examine the relation of task performance to attention deficit hyperactivity disorder (ADHD), the NF1 group was divided into subsets of children who met or did not meet criteria for ADHD. Children with NF1 performed less well than HC on all planning tasks, and differences remained when controlling for IQ or a measure of visuospatial skill. Both the NF1 with ADHD subset and NF1 without ADHD subset performed more poorly than HC on two of the tasks, whereas only the NF1 with ADHD subset performed worse than HC on the third planning task. The results underscore the importance of evaluating executive function in children with NF1 and suggest that deficits in this domain may be only partially related to ADHD. Planning deficits in children with NF1 may be part of their cognitive phenotype. Identifying these deficits is relevant in determining factors contributing to learning problems and in developing appropriate interventions. (JINS, 2010, 16, 1056–1063.)
Conventional and Reverse Knowledge Flows in Multinational Corporations†

Leveraging knowledge from geographically disparate subsidiaries is a crucial source of competitive advantage for multinational corporations (MNCs). This study investigates the determinants of knowledge transfers to and from newly acquired subsidiaries in three transition economies in Central and Eastern Europe. It is hypothesized that the determinants of conventional knowledge transfers from MNC parents to subsidiaries and reverse knowledge transfers from subsidiaries to MNC parents are based on different transfer logics. A sample of 105 acquired subsidiaries revealed that organizational characteristics are important in conventional knowledge flows from headquarters, so that subsidiaries acquired with competence-creating objectives receive significantly larger inflows. Knowledge characteristics are important in reverse flows to headquarters so that subsidiaries whose knowledge is more relevant are able to transmit significantly larger outflows. Host country locations have significant moderating effects. The significance of the directional context in knowledge transfers is an important new finding.
A 65nm CMOS current controlled oscillator with high tuning linearity for wideband polar modulation

A highly linear oscillator is presented for wideband polar modulation. It has both varactor voltage tuning for frequency locking and temperature compensation as well as inductive current tuning for linear phase modulation. Implemented in 65nm CMOS, it achieved a gain variation less than ±2% over more than 32MHz range meeting WCDMA polar modulation requirement. At 3.8GHz and 3MHz offset, its phase noise is -136.5dBc/Hz with current consumption of 18mA from 2.1V supply.
A Study on Antagonistic Potential of Bacteria against Phytopathogenic Fungi

International Journal of Pharmaceutical Sciences Review and Research Available online at www.globalresearchonline. net © Copyright protected. Unauthorised republication, reproduction, distribution, dissemination and copying of this document in whole or in part is strictly prohibited. © Copyright protected. Unauthorised republication, reproduction, distribution, 191 Merina Paul Das*, P.Vennila Devi, Y. Yasmine Department of Industrial Biotechnology, Bharath University, 173, Agaram Road, Selaiyur, Chennai, Tamil nadu, India. *Corresponding author’s E-mail: merinadas@gmail.com
Digital corpus of santali language

In corpus preparation we do part-of-speech (POS) tagging where we add POS information into the corpus in the form of tags. The POS information contains a number of tags such as noun, pronoun, verb, adjective, adverbs, preposition, conjunction etc. Literature shows the lack of corpora for Santali language. In this paper we have created and described a Santali language corpus using Sketch Engine corpus query tool that is very much useful for linguistic research. This paper shows statistical information about the Santali corpus such as number of words, tokens and sentences. We have shown lexicons such as number of words, tags, lemmas and lempos. This paper also shows parts of speech tags and lemmatized corpus in terms of noun, numeral, preposition, pronoun, verb, adjective, adverb, conjunction. We have added 590,314 tokens, 425,238 words and 63,199 sentences in our Santali corpus.
Reliability of Concentric, Eccentric and Isometric Knee Extension and Flexion when using the REV9000 Isokinetic Dynamometer

The aim of this study was to assess the reliability of isokinetic and ISO knee extensor and flexor muscle strength when using the REV9000 (Technogym) isokinetic dynamometer. Moreover, the reliability of several strength imbalance indices and bilateral ratios were also examined. Twenty-four physically active healthy subjects (age 23±3 years) underwent three testing sessions, two on the same day and a third, 7 days later. All sessions proceeded in the same order: five concentric contractions at 60ºs-1 followed by an isometric contraction (5 seconds) and five eccentric contractions (60ºs-1). The results of this study showed a high reproducibility in eccentric (0.95-0.97), concentric (0.95- 0.96) and isometric (0.93-0.96), isokinetic strength for knee extensor and flexor muscles, thus indicating that the REV9000 isokinetic dynamometer can be used in future sports performance studies. A low-to-moderate reliability was found in the isokinetic strength bilateral ratios while the Hamstring:Quadricep concentric ratio showed moderate reliability. The highest reliability (>0.90) was observed in the dynamic control ratio (Hamstring eccentric:Quadricep concentric) which consequently confirms that it is a more valid indicator for imbalanced reciprocal parameters and can be used in rehabilitation and sports medicine.
On the Mathematical Modeling of soliton-Mediated Long-Range electron Transfer

We discuss here possible models for long-range electron transfer (ET) between a donor (D) and an acceptor (A) along an anharmonic (Morse–Toda) one-dimensional (1d)-lattice. First, it is shown that the electron may form bound states (solectrons) with externally, mechanically excited solitons in the lattice thus leading to one form of soliton-mediated transport. These solectrons generally move with supersonic velocity. Then, in a thermally excited lattice, it is shown that solitons can also trap electrons, forming similar solectron bound states; here, we find that ET based on hopping can be modeled as a diffusion-like process involving not just one but several solitons. It is shown that either of these two soliton-assisted modes of transport can facilitate ET over quite long distances.
English L2 Reading: Getting to the Bottom

I don’t usually read a book beginning with the last chapter and then reading the other chapters in reverse order, but this is how I first read Birch’s English L2 Reading: Getting to the Bottom. I then reread the entire book going from front to back. I was initially intrigued by the last chapter because it provides a brief summary of Birch’s discussion. With this introduction, I was challenged to better understand the bottom-up processing that Birch argues English language learners may need to become proficient readers
Identification of a locus for type I punctate palmoplantar keratoderma on chromosome 15q22–q24

Background: The identification of the molecular basis of disorders of keratinisation has significantly advanced our understanding of skin biology, revealing new information on key structures in the skin, such as the intermediate filaments, desmosomes, and gap junctions. Among these disorders, there is an extraordinarily heterogeneous group known as palmoplantar keratodermas (PPK), for which only a few molecular defects have been described. A particular form of PPK, known as punctate PPK, has been described in a few large autosomal dominant pedigrees, but its genetic basis has yet to be identified. Aim: Identification of the gene for punctate PPK. Methods: Clinical examination and linkage analysis in three families with punctate PPK. Results: A genomewide scan was performed on an extended autosomal dominant pedigree, and linkage to chromosome 15q22–q24 was identified. With the addition of two new families with the same phenotype, we confirmed the mapping of the locus for punctate PPK to a 9.98 cM interval, flanked by markers D15S534 and D15S818 (maximum two point lod score of 4.93 at θ = 0 for marker D15S988). Conclusions: We report the clinical and genetic findings in three pedigrees with the punctate form of PPK. We have mapped a genetic locus for this phenotype to chromosome 15q22–q24, which indicates the identification of a new gene involved in skin integrity.
Interface development for hypermedia applications in the semantic Web

The semantic Web has been gaining increasing attention, spurring a large number of initiatives to design and implement applications in this environment. This paper proposes an approach to specifying the user interface to such applications, as part of the semantic hypermedia design method. It proposes the use of an abstract interface ontology, which is mapped onto application elements on one side and onto concrete interface elements specified as instances of a concrete interface ontology. An implementation architecture, based on JSP and TagLibs, is also proposed.
Mass-spectrometry-based characterization of oxidations in proteins

Abstract Protein modifications such as oxidations have a strong impact on protein function and activity in various organisms. High-resolution mass spectrometric techniques in combination with various sample preparation methodologies allow for the in-detail characterization of protein structures and strongly contribute to a greater understanding of the impact of protein modifications in nature. This paper outlines the general workflows for the characterization of oxidation sites in proteins by mass spectrometry (MS). Different types of oxidations are taken into consideration; both qualitative and quantitative aspects of MS-based approaches are presented with respect to oxidized proteins. Both bottom-up and top-down MS approaches are described and evaluated; a wide range of the particular applications corresponding to these techniques is also presented. Furthermore, the common advantages and downsides of these techniques are assessed. The approaches for enrichment of low-abundance oxidized proteins are extensively presented for different cysteine oxidations and protein carbonylations. A short description about databases and bioinformatic software solutions for oxidative protein prediction, identification, and biological interpretation is also given in this review.
PacketTwins: A Novel Method for Capacity Estimation of a Heavy-Loaded Path

We propose a method called PacketTwins for estimating the capacity of heavy-loaded paths. Unlike popular packet pair methods, which probe a path with a series of two equal-sized packets, PacketTwins uses a series of twin probe packets that are slightly different in size. By sending twin probe packets alternately, we can obtain new information about selecting valid samples for capacity estimation when a network path is heavy loaded.
The relationship between personality and performance of Canadian women intercollegiate basketball players

\ The purpose of the study was to determine if personality characteristics related to successful participants in Canadian women's intercollegiate basketball could be identified. It was hypothesized that a personality profile for female basketball players could be identified. It was also hypothesized that differences in personality profiles existed between sub-groups related to successful performance: regular versus substitute players and members of winning teams versus members of losing teams. The Athletic Motivation Inventory and the Cattell Sixteen Personality Factor Questionnaire were administered, during a single sitting, to fifty-six female basketball players participating in the Canada West University Athletic Association. F-ratios for the multivariate test of equality of mean vectors were computed between the sub-group personality profiles. Univariate analyses of variance between individual personality traits were also computed. The results did not identify a specific female basketball personality profile. Therefore no statistical support was given to the premise that there is an identifiable relationship between personality and participation among Canadian women intercollegiate basketball players. In addition the results did not identify
Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings

Obstructive sleep apnea syndrome (OSAS) is associated with cardiovascular morbidity as well as excessive daytime sleepiness and poor quality of life. In this study, we apply a machine learning technique [support vector machines (SVMs)] for automated recognition of OSAS types from their nocturnal ECG recordings. A total of 125 sets of nocturnal ECG recordings acquired from normal subjects (OSAS- ) and subjects with OSAS (OSAS+), each of approximately 8 h in duration, were analyzed. Features extracted from successive wavelet coefficient levels after wavelet decomposition of signals due to heart rate variability (HRV) from RR intervals and ECG-derived respiration (EDR) from R waves of QRS amplitudes were used as inputs to the SVMs to recognize OSAS +/- subjects. Using leave-one-out technique, the maximum accuracy of classification for 83 training sets was found to be 100% for SVMs using a subset of selected combination of HRV and EDR features. Independent test results on 42 subjects showed that it correctly recognized 24 out of 26 OSAS + subjects and 15 out of 16 OSAS - subjects (accuracy = 92.85%; Cohen's kappa value of 0.85). For estimating the relative severity of OSAS, the posterior probabilities of SVM outputs were calculated and compared with respective apnea/hypopnea index. These results suggest superior performance of SVMs in OSAS recognition supported by wavelet-based features of ECG. The results demonstrate considerable potential in applying SVMs in an ECG-based screening device that can aid a sleep specialist in the initial assessment of patients with suspected OSAS.
Fault-localization using dynamic slicing and change impact analysis

Spectrum-based fault-localization tools, such as Tarantula, have been developed to help guide developers towards faulty statements in a system under test. These tools report statements ranked in order of suspiciousness. Unfortunately, the reported statements can often be unrelated to the error. This paper evaluates the impact of several approaches to ignoring such unrelated statements in order to improve the effectiveness of fault-localization tools.
Disseminators vs revisionists: attitudes to the ‘implementation gap’ in evidence‐based practice

Ambiguities in the term ‘evidence‐based practice’ (EBP) are often used to hide some of the tensions within the idea itself. This article seeks to clarify what EBP means and how evidence and knowledge can contribute to the development of children's services. It acknowledges the ‘implementation gap’ between evidence‐based practice and evidence‐based practitioners, and discusses two contrasting perspectives on the problem and its solution. For ‘disseminators’ the primary issue is better translation of findings into practice, illustrated here by the work of the National Institute of Health and Clinical Excellence (NICE). ‘Revisionists’ look beyond obstacles and drivers to implementation and instead advocate looking again at the relationship between research and practice and propose a number of radical proposals for how this relationship can be re‐envisioned.
A machine learning approach to keystroke dynamics based user authentication

The majority of computer systems employ a login ID and password as the principal method for access security. In stand-alone situations, this level of security may be adequate, but when computers are connected to the internet, the vulnerability to a security breach is increased. In order to reduce vulnerability to attack, biometric solutions have been employed. In this paper, we investigate the use of a behavioural biometric based on keystroke dynamics. Although there are several implementations of keystroke dynamics available, their effectiveness is variable and dependent on the data sample and its acquisition methodology. The results from this study indicate that the Equal Error Rate (EER) is significantly influenced by the attribute selection process and to a lesser extent on the authentication algorithm employed. Our results also provide evidence that a Probabilistic Neural Network (PNN) can be superior in terms of reduced training time and classification accuracy when compared with a typical MLFN back-propagation trained neural network.
HARQ in Relay-Assisted Transmission for Machine Type Communications

This letter describes the impact of unknown channel access delay on the timeline of the hybrid automatic repeat request (HARQ) process in the 3rd generation partnership project long term evolution (3GPP LTE) system when a relay node (RN) is used for coverage extension of machine type communication (MTC) devices. A solution is also proposed for the determination of unknown channel access delay when the RN operates in the unlicensed spectrum band. The proposed mechanism is expected to help MTC operation in typical coverage holes areas such as smart meters located in the basement of buildings.