Miracle-dz/UniFAR-FTUs huggingface dataset:
On computing three-finger force-closure grasps of polygonal objects

This paper presents a new approach to the computation of stable grasps of polygonal objects. The authors consider the case of a hand equipped with three hard fingers and assume point contact with friction. They prove a sufficient condition for force-closure grasps that leads to a system of linear constraints in the position of the fingers along the polygonal edges. All regions satisfying these constraints are found by a new projection algorithm based on linear parameter elimination accelerated by simplex techniques. Maximal object segments where fingers can be positioned independently are found by linear optimization within the grasp regions. The approach has been implemented and examples are presented. <<ETX>>
Clustering and overlapping modules detection in PPI network based on IBFO

As is known to all, traditional clustering algorithms do not work well due to the topological features of protein–protein interaction networks. An improved clustering method based on bacteria foraging optimization (BFO) mechanism and intuitionistic fuzzy set, short for improved BFO, is proposed in this paper, in which the trigonometric function is used to define the membership degrees and the indeterminacy degree is introduced to detect the overlapping modules. In chemotactic operation of BFO, the algorithm initializes a cluster center according to comprehensive network feature value of node and eliminates the isolated point in accordance with edge‐clustering coefficient. In the reproduction operation of BFO, the nodes possessing high membership degrees are merged into the cluster that the cluster center belongs to and labeled as visited nodes. Meanwhile, the nodes that also have high indeterminacy degrees are visited again when generating another cluster. The procedure of elimination–dispersal operation is equivalent to the selection of the next cluster center. Finally, the algorithm merges the clusters having high similarity. The results show that the algorithm not only determines the cluster number automatically, improves the f‐measure value of cluster results, but also identify the overlaps in protein–protein interaction network successfully.
Once you get them, how do you keep them? Millennial librarians at work

Purpose – The purpose of this paper is to draw attention to the unique characteristics of Millennial librarians. These characteristics are related to larger issues having current and future relevance to Millennial librarians, colleagues of other generations, as well as library administration.Design/methodology/approach – The paper explores training, leadership and work‐life balance in relation to Millennial librarians.Findings – Certain defining characteristics of the Millennial generation need to be recognized and discussed by library administration and librarians of all generations.Practical implications – Surveying the literature related to Millennial librarians' possible implications can assist in creating increased awareness of this group.Originality/value – Much research focuses on engaging and teaching Millennials as library users. Infrequently discussed, however, is the concept of Millennials as librarians and the paper attempts to fill this gap.
The nature and measurement of depression

Abstract: The initial goal of this study was to determine if the cognitive and affective components of depression, which are measured collectively by the BDI Cognitive-Affective subscale, could be identified as separate factors in a non-clinical population. A pool of 40 cognitive and affective depression items was adapted from the BDI and three other widely used depression measures. These items were administered with both state and trait instructions to 251 university students, who also responded to the BDI, Zung, CES-D, and trait measures of anxiety, anger and curiosity. Contrary to the expected finding of cognitive and affective factors, two very strong factors were identified, which were defined by items that described the presence or absence of state and trait depression. The best depression-present (dysthymia) and depression-absent (euthymia) items were selected to form 20-item State (S-Dep) and Trait (T-Dep) Depression scales, each with 10-item S-Dep and T-Dep Dysthymia and Euthymia subscales. The alpha coefficients for the S-Dep and T-Dep scales and subscales for the total sample, and in separate analyses for females and males, were . 90 or higher (mdn. r = .93), indicating strong internal consistency. The T-Dep Scale correlated highly with the BDI, Zung and CES-D (mdn. r = .80), providing impressive evidence of concurrent validity. The correlations of the T-Dep Scale with all three widely used depression measures were also substantially higher than the corresponding correlations of the S-Dep Scale (mdn. r = .66). These findings suggested that while the BDI, Zung and CES-D measure both state and trait depression, they appear to more accurately assess relatively persistent trait-like characteristics. Keywods: Depression. State. Trait. Instrumental study.
Modelling Access with GIS in Urban Systems (MAGUS): capturing the experiences of wheelchair users

Access and mobility are important dimensions of quality of life. For wheelchair users, everyday trips are often fraught with problems, with many barriers imperceptible to the able-bodied, hindering or totally restricting movement. This paper describes a project undertaken with wheelchair users, which has developed, tested and applied a Geographic Information System model. This model acts both as a navigational device for wheelchairs users 2013 enabling them to make informed route choices through urban places 2013 and as a decision support and planning tool for urban planners 2013 making visible the ways in which built environments are often distorted and hostile spaces for wheelchair users.
On the Impact of Defects Close to the Gate Electrode on the Low-Frequency  $\hbox{1}/f$  Noise

This letter studies the impact of defects close to the gate electrode side on low-frequency 1/f noise in the drain and gate current. Defects are selectively introduced by deposition of a submonolayer of HfO2 dielectric, which induce a large Fermi-level pinning on the gate. Contrary to the common belief that defects at the Si/SiO2 interface are the dominant effect on 1/f noise, defects at the interface and fluctuations in the poly-Si charge are also important.
Developmentally regulated mRNAs in 3T3-adipocytes: analysis of transcriptional control

We have investigated the regulation of mRNA synthesis during 3T3- adipocyte differentiation by measuring the transcription of specific genes in isolated preadipocyte and adipocyte nuclei. Transcription was assayed by hybridization of newly synthesized RNA to cDNA clones coding for glycerophosphate dehydrogenase (GPD), the induced protein of 13K which is shown here to be related to myelin protein P-2, the induced protein of 28K, actin, and two RNAs that are not developmentally regulated. Transcription of GPD and 13K was observed in adipocyte but not preadipocyte nuclei. Actin was transcribed in both types of nuclei but at a lower level in adipocytes. For most of the RNAs examined, there was a consistent relationship between amounts of nuclear transcription and the abundance of the corresponding cytoplasmic mRNA in adipocytes. However, 13K and 28K mRNAs are 10-100 times more abundant than would be predicted by their nuclear transcription alone. Preliminary mRNA turnover experiments in which 5,6-dichloro-1-beta-D- ribofuranosylbenzimidazole was used to inhibit mRNA synthesis suggest that these mRNAs are much more stable in the adipocyte cytoplasm than the other mRNAs examined. These results indicate that the transcription of specific genes is increased during adipocyte differentiation and suggest that other levels of control, particularly mRNA stability, may contribute to the relative abundance of certain developmentally- regulated mRNAs in adipocytes.
Journal of Graph Algorithms and Applications Drawing Planar Graphs with Reduced Height 434 Durocher and Mondal Drawing Planar Graphs with Reduced Height

A polyline (resp., straight-line) drawing Γ of a planar graph G on a set L k of k parallel lines is a planar drawing that maps each vertex of G to a distinct point on L k and each edge of G to a polygonal chain (resp., straight line segment) between its corresponding endpoints, where the bends lie on L k. The height of Γ is k, i.e., the number of lines used in the drawing. In this paper we establish new upper bounds on the height of polyline drawings of planar graphs using planar separators. Specifically , we show that every n-vertex planar graph with maximum degree ∆, having an edge separator of size λ, admits a polyline drawing with height 4n/9 + O(λ), where the previously best known bound was 2n/3. Since λ ∈ O(√ n∆), this implies the existence of a drawing of height at most 4n/9 + o(n) for any planar triangulation with ∆ ∈ o(n). For n-vertex pla-nar 3-trees, we compute straight-line drawings, with height 4n/9 + O(1), which improves the previously best known upper bound of n/2. All these results can be viewed as an initial step towards compact drawings of pla-nar triangulations via choosing a suitable embedding of the graph.
Predicting Crashing Releases of Mobile Applications

Context: The quality of mobile applications has a vital impact on their user's experience, ratings and ultimately overall success. Given the high competition in the mobile application market, i.e., many mobile applications perform the same or similar functionality, users of mobile apps tend to be less tolerant to quality issues. Goal: Therefore, identifying these crashing releases early on so that they can be avoided will help mobile app developers keep their user base and ensure the overall success of their apps. Method: To help mobile developers, we use machine learning techniques to effectively predict mobile app releases that are more likely to cause crashes, i.e., crashing releases. To perform our prediction, we mine and use a number of factors about the mobile releases, that are grouped into six unique dimensions: complexity, time, code, diffusion, commit, and text, and use a Naive Bayes classified to perform our prediction. Results: We perform an empirical study on 10 open source mobile applications containing a total of 2,638 releases from the F-Droid repository. On average, our approach can achieve F1 and AUC scores that improve over a baseline (random) predictor by 50% and 28%, respectively. We also find that factors related to text extracted from the commit logs prior to a release are the best predictors of crashing releases and have the largest effect. Conclusions: Our proposed approach could help to identify crash releases for mobile apps.
Smart walker development based on experts' feedback for elderly and disabled

This paper introduces a smart mobile walker which was developed for elderly and disabled. It supports three features, which are walking aid, sit-to-stand aid, and electric scooter. Implementation of each function is briefly described. The overall performance of the smart mobile walker is evaluated by experts in rehabilitation hospitals and continuously being improved.
Implementation of JVM tool interface on Dalvik virtual machine

Mobile devices such as cell phones, GPS guiding systems, and mp3 players, now become one of the most important consumer electronic products. Being an embedded system, mobile devices are highly integrated in software and hardware for robustness, high performance, and low cost. The problem is that this also makes it very difficult to understand the internal interactions of hardware as well as software modules in such devices and to identify performance bottlenecks and design faults. Profiling helps developers to understand the behaviors of a system, especially during the development of new platforms. Android is a new software platform intended for mobile devices. It is composed of Linux and a Java virtual machine called Dalvik. The ability to profile Android helps developers to familiarize with Android's features and optimize their applications. In this paper, we discuss the development of a profiling tool interface, JVM TI, on Android. With this tool interface, developers can profile their Java code running on Dalvik using JVM TI.
Social Desirability Response Bias and the Marlowe-Crowne Social Desirability Scale

The reported studies investigated two issues of importance to researchers and practitioners interested in the Marlowe-Crowne Social Desirability Scale, the sensitivity or social desirability of the individual items comprising the scale and the continued appropriateness of the original scoring scheme presented in 1960. Analysis indicates that over half of the items may no longer be sensitive enough to be useful. Also, it appears that the original keying may no longer be appropriate for a number of items. Finally, based on these findings, implications for the continued use of the Marlowe-Crowne Scale are discussed.
An intuitive class discriminability measure for feature selection in a speech recognition system

In this paper we propose an intuitive method for feature selection and dimensionality reduction of a set of selected features. We analyze the feature set by applying an intuitive class discriminability measure. For this purpose, we use the proposed schemes for the “editing” of the training datasets. Editing algorithms basically smooth the decision boundaries and improve the performance of the classiﬁcation with ﬁnite sample size. We propose that an intuitive measure for class separability or the overlap between classes can be the “number of remaining points” after editing the dataset using an algorithm with an idea similar to Wilson-editing algorithm over the total number of points. The algorithm that we aim to apply is a modiﬁca-tion of the Wilson-Gabriel editing algorithm. We apply this method to compute the overlap between phonetic classes for two different feature sets, Mel Frequency Cepstral Coefﬁcients (MFCCs), and Linear Prediction Coefﬁcients (LPCs). These feature sets are commonly used in speech recognition systems. The proposed measure indicates a higher class discriminability for MFCC feature space comparing to LPC feature space.
Subthreshold-leakage suppressed switched capacitor circuit based on super cut-off CMOS (SCCMOS)

A subthreshold-leakage suppressed switched capacitor (SC) circuit based on a super cut-off CMOS (SCCMOS) scheme is introduced. This scheme realizes low-voltage SC circuits using low threshold voltage (V/sub TH/) transistors which are superior in drivability and are compatible with digital circuits. The SC circuit cannot be operated under 0.5 V with high-V/sub TH/ devices, but, on the other hand, SC circuits with low-V/sub TH/ transistors suffer from charge loss, even in analog operations. A 0.5-V sigma-delta modulator with the proposed scheme is successfully manufactured and measured by using a 0.15-/spl mu/m FD-SOI process with 0.1-V V/sub THN/ transistors.
Unsupervised query segmentation using click data: preliminary results

We describe preliminary results of experiments with an unsupervised framework for query segmentation, transforming keyword queries into structured queries. The resulting queries can be used to more accurately search product databases, and potentially improve result presentation and query suggestion. The key to developing an accurate and scalable system for this task is to train a query segmentation or attribute detection system over labeled data, which can be acquired automatically from query and click-through logs. The main contribution of our work is a new method to automatically acquire such training data - resulting in significantly higher segmentation performance, compared to previously reported methods.
Nanomaterials and Nanotechnology Piezoelectric Energy Generation and Harvesting at the Nano-Scale : Materials and Devices Review

Continuous efforts are being made for alternative power generation techniques for use in devices with sub-micron-scale dimensions. In this work, we have perused through some of these efforts, focusing mainly on devices using materials with piezoelectric properties. In the last decade or so, nanostructured zinc oxide (ZnO) has drawn worldwide attention for its pathbreaking properties. One of its most extensively-studied properties is its ability to generate power when subjected to mechanical vibration. It can generate a potential within a wide range of frequency vibrations, from a few Hz to thousands of KHz. This can lead to extensive application prospects in many important fields, like self-power generating devices for medical applications, wireless technologies and various sensors, etc. This review looks into reports related to such technology in detail. It also takes into account certain other materials that have been reported for piezoelectric energy scavenging applications.
Why evolution is not a good paradigm for program induction: a critique of genetic programming

We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are highly suited to the process; genetic code is an effective transmitter of information and crossover is an effective way to search through the viable combinations. Evolution is not without its limitations, which are pointed out, and it appears to be a highly effective problem solver; however we over-estimate the problem solving ability of evolution, as it is often trying to solve "self-imposed" survival problems. We are concerned with the evolution of Turing Equivalent programs (i.e. those with iteration and memory). Each of the mechanisms which make evolution work so well are examined from the perspective of program induction. Computer code is not as robust as genetic code, and therefore poorly suited to the process of evolution, resulting in a insurmountable landscape which cannot be navigated effectively with current syntax based genetic operators. Crossover, has problems being adopted in a computational setting, primarily due to a lack of context of exchanged code. A review of the literature reveals that evolved programs contain at most two nested loops, indicating that a glass ceiling to what can currently be accomplished.
Trouble from the start: airway structural anomalies present at birth in the cystic fibrosis piglet.

the rise in Pra and Ppao does not mean that transmural pressures changed, but given the rise in cardiac output in the responsive group, it likely did. Furthermore, the gradient for venous return to the heart is based on the pressure difference from the systemic reservoir to Pra relative to atmospheric and not pleural pressure. Technical aspects related to the changes in pulmonary vascular resistance in the prone position also are worth considering. Calculated pulmonary vascular resistance fell in both groups. However, this was largely due to a rise in Ppao, for there was little change in mean pulmonary artery pressure. As the authors indicate, and as well described by Permutt and colleagues (8), in areas of lungs in which alveolar pressure is greater than pulmonary venous pressure, alveolar pressure is the true outflow pressure and an error is created by using left atrial pressure as the downstream value. Thus, what might have happened is that left atrial pressure was still below a critical closing pressure, so there was no real change in resistance or the critical closing pressure. What clinical message can we derive from this study? Prone positioning seems to increase the forces driving venous return by effectively lowering the heart relative to the systemic reservoir. The surprising observation that those who were not RV volume limited and had a rise in cardiac output tended to have less improvement in oxygenation and a greater increase in Ppao seems to indicate that both groups had more volume than they needed, at least in the prone position. However, the volumeresponsive group might need the volume when shifting back to the supine posture. Thus, a prone-to-supine change would be the opposite of what Lemaire and colleagues observed when removing positive pressure (9). Perhaps increasing positive end-expiratory pressure in the prone position might reduce the shift in volume and improve the oxygenation benefit of the prone position, or maybe the patients just needed less volume. Author disclosures are available with the text of this article at www.atsjournals. org.
The effects of immediate stimulus repetition on reaction time and event-related potentials in tasks of different complexity

The effect of immediate stimulus repetition was examined in lexical decision, face recognition, letter search, face/nonface discrimination, and word/number discrimination tasks using reaction time (RT), accuracy, and event-related brain potential (ERP) measures. Repetition facilitated performance in all tasks and for all stimulus types. However, ERPs were strongly affected by repetition only in lexical decision, face recognition, and letter search, when relatively long stimulus analysis and decision making processes were required. The ERP repetition effect consisted of a significant increase in P300 amplitude and a shortening of its latency. Repetition also resulted in the attenuation of a negative component that was tentatively identified as N400
Chitosan enhances disease resistance in pearl millet against downy mildew caused by Sclerospora graminicola and defence-related enzyme activation.

BACKGROUND The present study investigated the effect of chitosan seed priming on the induction of disease resistance in pearl millet against downy mildew disease caused by Sclerospora graminicola (Sacc.) Schroet. RESULTS Pearl millet seeds were primed with chitosan at different concentrations: 0.5, 1.5, 2.5 and 3 g kg(-1) seed. Of the different concentrations, 2.5 g kg(-1) was found to be optimum, with enhanced seed germination of 99% and seedling vigour of 1782, whereas the untreated control recorded values of 87% and 1465 respectively. At optimum concentration, chitosan did not inhibit sporulation and release of zoospores from sporangia. Furthermore, pearl millet seedlings raised after seed treatment with chitosan showed an increased level of the defence-related enzymes chitosanase and peroxidase as compared with the untreated pearl millet seedlings on downy mildew pathogen inoculation. The effect of chitosan in reducing downy mildew incidence was evaluated in both greenhouse and field conditions, in which respectively 79.08 and 75.8% disease protection was obtained. CONCLUSION Chitosan was effective in protecting pearl millet plants against downy mildew under both greenhouse and field conditions by inducing resistance against the pathogen. Thus, chitosan formulation can be recommended for seed treatment in the management of downy mildew disease.
Comprehension and expression of affective sentences in traumatic brain injury

The comprehension and production of affective prosody and facial expression was investigated in subjects with traumatic brain injury and matched normal subjects. Performance on tasks designed to assess the ability to recognise affect in congruous, neutral, and ambiguous sentences and the ability to portray emotions in affectively neutral sentences revealed significant impairments for the subjects with traumatic brain injury. Analysis of correct responses to ambiguous sentences found increased reliance of brain-injured subjects on verbal compared to paralinguistic cues in interpreting the emotion of the sentence. The clinical implications of the findings relative to counselling, compensation strategies, and direct intervention for patients with traumatic brain injury are discussed.