Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Scheduling Algorithm for Data Collection through Multi-path Routing Structures in Wireless Sensor Networks

Multi-path routing is essential in wireless sensor data collection to overcome the high loss rates in wireless environments. In this paper, we propose an efficient distributed scheduling algorithm for data collection through multi-path routing structures in wireless sensor networks. The message complexity of the proposed scheduling algorithm is O(n(D+3)), where n is the number of sensor nodes in the network and D is the maximum node degree. The best existing scheduling algorithm for single-path routing structures has the message complexity of O(n(X+D+2)), where X is the number of 2-hop neighbors of a sensor node. The complexity of the proposed scheduling algorithm is a significant improvement since D is substantially smaller than X. In addition, we also develop a method for deriving a super lower bound on the shortest possible length of the data collection schedule generated by any algorithm. Extensive experimental results show that the proposed scheduling algorithm produces good data collection schedules with greatly reduced running time and less scheduling messages generated as compared to existing algorithms. The length of the data collection schedule produced by our algorithm is within 2.3 times of the lower bound estimate across a wide range of network settings.
Corticothalamic connections of the posterior parietal cortex in the rhesus monkey

Corticothalamic connections of posterior parietal regions were studied in the rhesus monkey by using the autoradiographic technique. Our observations indicate that the rostral superior parietal lobule (SPL) is connected with the ventroposterolateral (VPL) thalamic nucleus. In addition, whereas the rostral SPL is connected with the ventrolateral (VL) and lateral posterior (LP) thalamic nuclei, the rostral IPL has connections with the ventroposteroinferior (VPI), ventroposteromedial parvicellular (VPMpc), and suprageniculate (SG) nuclei as well as the VL nucleus. The caudal SPL and the midportion of IPL show projections mainly to the lateral posterior (LP) and oral pulvinar (PO) nuclei, respectively. These areas also have minor projections to the medial pulvinar (PM) nucleus. Finally, the medial SPL and the caudal IPL project heavily to the PM nucleus, dorsally and ventrally, respectively. In addition, the medial SPL has some connections with the LP nucleus, whereas the caudal IPL has projections to the lateral dorsal (LD) nucleus. Furthermore, the caudal and medial SPL and the caudal IPL regions have additional projections to the reticular and intralaminar nuclei–the caudal SPL predominantly to the reticular, and the caudal IPL mainly to the intralaminar nuclei.
An integrated system for 3D object reconstruction and recognition

This paper presents and develops an integrated system for 3D object reconstruction and recognition, which contains three key functional subsystems: superquadric based structural description extraction, multipart object reconstruction and 3D object recognition. These three subsystems are relatively independent and also connected each other, which accomplish the conversion from 3D object data to virtual 3D model and interpretation. Some experiments and subsystem running interface are demonstrated.
Opipramol dihydrochloride

The title compound (systematic name: 4-{3-[2-azatricyclo[9.4.0.03,8]pentadeca-1(15),3,5,7,11,13-hexaen-2-yl]propyl}-1-(2-hydroxyethyl)piperazine-1,4-diium dichloride), C23H31N3O+·2Cl−, is the dihydrochloride of a piperazine derivative bearing a bulky 3-(5H-dibenz[b,f]azepin-5-yl)propyl substituent. Protonation took place on both N atoms of the piperazine unit. The diazacyclohexane ring adopts a chair conformation. N—H⋯Cl, O—H⋯Cl and C—H⋯Cl hydrogen bonding as well as C—H⋯O contacts connect the components into a three-dimensional network in the crystal. Two C—H⋯π contacts are also observed.
Optimizing Features for Dialogue Act Classification

Natural language dialogue is an important component of interaction between ordinary users and complex computer applications. Short Text Semantic Similarity algorithms have been developed to improve the efficiency of producing sophisticated dialogue systems. Such algorithms are currently unable to discriminate between different dialogue acts (assertions, questions, instructions etc.), requiring the addition of efficient dialogue act classifiers to enhance them. The Slim Function Word Classifier (SFWC) has proved promising, particularly in its computational simplicity. This study optimizes the SFWC by clustering function word features using grammatical principles. Experiments show a significant improvement in classification accuracy for a selection of sentence forms which were challenging for the unoptimized SFWC. Results are expected to be applicable to many intelligent text processing applications ranging from question answering to meeting summarization.
A Hybrid Decoder for Block Turbo Codes

We propose a novel iterative decoder for block turbo codes (BTCs). The proposed decoder combines soft-input/softoutput (SISO) and hard-input/hard-output (HIHO) constituent decoders in order to obtain better error performance and reduce the computational complexity compared to classical BTC decoders. We show that the new decoder, called 'hybrid decoder', offers a better complexity/performance tradeoff than a classical BTC decoder.
Management of hypertension in adults in primary care: NICE guideline.

Hypertension is common and is one of the leading causes of cardiovascular events such as stroke and ischaemic heart disease. It is responsible for approximately 12% of consultations in primary care. This is a summary of the key points in the 2011 National Institute for Health and Clinical Excellence (NICE) hypertension guideline.1 This is an update of NICE clinical guideline 18, which was first published in 2004 and was partially updated in 2006 (clinical guideline 34). The 2006 and 2011 updates were developed in collaboration with the British Hypertension Society (BHS). The areas included for updating were selected because of new evidence that might change existing recommendations. These included the use of ambulatory blood pressure monitoring (ABPM) and home blood pressure monitoring (HBPM) in diagnosis; the place of new thresholds and targets for treatment; and a re-examination of the position of angiotensin-converting inhibitors (ACEIs), angiotensin II receptor blockers (ARBs), calcium-channel blockers (CCBs), and diuretics in the treatment algorithm. Consideration of differences in management for people of various ages and ethnicity, as well as how to treat resistant hypertension, were also included. The management of blood pressure in people with diabetes was not included in this guideline. ### Diagnosis The diagnosis of hypertension uses both clinic blood pressure monitoring (CBPM) and ABPM readings (Box 1). If blood pressure measured in the clinic is 140/90 mmHg or higher, a second measurement should be taken during the consultation. If the second measurement is substantially different from the first, take a third measurement. The lower of the last two measurements should be recorded as …
Child Temperament: New Thinking About the Boundary between Traits and Illness

Child Temperament: New Thinking About the Boundary between Traits and Illness By David Rettew. WW Norton. 2013. £25.00 (hb). 288 pp. ISBN: 9780393707304 A book on child temperament is appealing to me as a child psychiatrist, as I often have to consider whether children referred to me are
Comparison of perceived support for physical activity and physical activity related practices of children and young adolescents in Hong Kong and Australia

This study compared the self-reported physical activity, perceived social support for, and perceived barriers to, physical activity of primary and secondary school children from Hong Kong and Australia. Hong Kong boys and girls reported spending significantly less time, outside of school hours, on physical activity than their Australian contemporaries (p < .05). There was significantly higher perceived support for activity from Australian parents (p < .001), teachers (p < .001) and peers (p < .001) compared to their Hong Kong counterparts. Parental support significantly correlated with self-reported activity in Australia, but not in Hong Kong. These data add support to the notion that strategies to increase physical activity need to embed family and school.
Thermodynamic study of hydrolysis and esterification reactions with immobilized lipases

The present paper investigate about the physical significance of thermodynamic constants such as change in Gibbs free energy (∆G), enthalpy (∆H), entropy (∆S) for a simultaneous hydrolysis and esterification reactions. The hydrolysis of fish oils with immobilized Candida antarctica lipase-B (CAL-B) and esterification of tuna free fatty acids with immobilized lipases from Pseudomonas cepacia (PCL) and Thermomyces lanuginosus (TLL) have been studied. The catalytic efficiency of lipases has also been compared using turn-over number (kcat) and thermal deactivation constant (Kd). The negative magnitude of ∆G<0, ∆H<0 and ∆S<0 have been obtained; correspond to the feasibility of these reactions with thermal stability of lipases at reaction conditions. A higher of 381.02 sec -1 turn-over number with immobilized CALB and PCL have been obtained, indicating a good shell life of lipase system whereas a lower value of thermal deactivation (Kd) corresponds to good activity of lipases over multiple uses.
Word-based Partial Annotation for Efficient Corpus Construction

In order to utilize the corpus-based techniques that have proven effective in natural language processing in recent years, costly and time-consuming manual creation of linguistic resources is often necessary. Traditionally these resources are created on the document or sentence-level. In this paper, we examine the benefit of annotating only particular words with high information content, as opposed to the entire sentence or document. Using the task of Japanese pronunciation estimation as an example, we devise a machine learning method that can be trained on data annotated word-by-word. This is done by dividing the estimation process into two steps (word segmentation and word-based pronunciation estimation), and introducing a point-wise estimator that is able to make each decision independent of the other decisions made for a particular sentence. In an evaluation, the proposed strategy is shown to provide greater increases in accuracy using a smaller number of annotated words than traditional sentence-based annotation techniques.
Sensitivity of remote sensing–derived phytoplankton productivity to mixed layer depth: Lessons from the carbon‐based productivity model

Mixed layer depth (MLD) has long been recognized as having an important influence on underwater light budget and, thus, net primary productivity (NPP) of phytoplankton. The depth‐ and wavelength‐integrated carbon‐based productivity model (DWI CbPM) is one of a few productivity algorithms that explicitly use information on MLD to estimate ocean NPP from remote sensing observations. This study evaluates the sensitivity of NPP estimates from the DWI CbPM to MLD input by using MLD fields from four different ocean models. Owing to the effect of MLD on light availability, the model NPP is generally inversely related to MLD, but the strength of this relationship is highly variable. In most of the ocean, it exhibits a seasonal character. In summer, NPP at middle and high latitudes can show substantial sensitivity to subtle changes in MLD, but is largely robust to strong MLD variability in winter. An opposite seasonal pattern is encountered in subtropical ocean gyres. A lack of seasonality is observed in tropical areas, among which only the equatorial Pacific displays strong response of NPP to small or moderate changes in MLD. We find that the spatial and temporal variability of the MLD‐NPP relationship can be explained by nonlinearity and light saturation/limitation thresholds indicated in the DWI CbPM, as well as the influence of surface irradiance (I0) and diffuse attenuation coefficient for downwelling light at 490 nm (Kd(490)). NPP is sensitive to varying MLD only if coincidental I0 and Kd(490) values are such that combined with the coexisting differences in MLD estimates, they have potential to give effective differences in light saturation/limitation of photosynthesis.
Development of a consequent pole transverse flux permanent magnet linear machine with passive secondary structure

Transverse-flux machines have the advantage of high force density owing to the peculiarity of decoupling of electric loading and magnetic loading. In this paper, a novel consequent-pole transverse-flux permanent magnet linear machine (CP-TFPMLM) is proposed and investigated. The origination of the proposed machine is from an existing transverse-flux flux-reversal linear machine (TF-FRLM), by partially replacing permanent magnet poles with soft magnetic iron for further reducing the cost of magnets. The fundamental structure and operating principle are introduced at first. The electromagnetic performance, including back EMF, detent force, and thrust force, are investigated with the finite element method. The proposed machine can achieve similar performance as compared to the TF-FRLM but with half of the magnets are used.
Image segmentation with hierarchical topic assignment

Image segmentation can be viewed as the problem of topic assignment, in which pixels are grouped into regions with respect to the topic model of textures and real-world semantic meanings. In this paper, we apply a novel hierarchical topic model, which builds a multi-level image representation covers texture and semantic region, to image segmentation. Specifically, the proposed method firstly assigns texture-topic to each pixel according to the low-level model defines on visual word and neighboring constraint. Furthermore, inspired by the connection between image patch and linguistic sentence, we model semantic segments of natural scene as the combinations of texture topics. Finally, the segmentation result is achieved by finding homogeneous regions in topic field. Experimental results on natural scene images demonstrate the effectiveness of our method.
Look & Pedal: Hands-free Navigation in Zoomable Information Spaces through Gaze-supported Foot Input

For a desktop computer, we investigate how to enhance conventional mouse and keyboard interaction by combining the input modalities gaze and foot. This multimodal approach offers the potential for fluently performing both manual input (e.g., for precise object selection) and gaze-supported foot input (for pan and zoom) in zoomable information spaces in quick succession or even in parallel. For this, we take advantage of fast gaze input to implicitly indicate where to navigate to and additional explicit foot input for speed control while leaving the hands free for further manual input. This allows for taking advantage of gaze input in a subtle and unobtrusive way. We have carefully elaborated and investigated three variants of foot controls incorporating one-, two- and multidirectional foot pedals in combination with gaze. These were evaluated and compared to mouse-only input in a user study using Google Earth as a geographic information system. The results suggest that gaze-supported foot input is feasible for convenient, user-friendly navigation and comparable to mouse input and encourage further investigations of gaze-supported foot controls.
Atravesando Fronteras/Border Crossings: A Critical Ethnographic Exploration of the Consumer Acculturation of Mexican Immigrants

This article critically examines the consumption experiences of Mexican immigrants in the United States. An empirical model of Mexican immigrant consumer acculturation is derived that consists of movement, translation, and adaptation processes leading to outcomes of assimilation, maintenance, resistance, and segregation. By drawing attention to the ways in which international movements of people, companies, and products intersect within existing subcultural relations, this research provides a more satisfactory account of the complex dynamic processes through which Mexican immigrants adapt to the consumer environment in the United States.
Overcoming sink limitations in dissolution testing: a review of traditional methods and the potential utility of biphasic systems

Objectives The conventional dissolution test, particularly the USP apparatus I and II, remains an important tool in the armory of the pharmaceutical development scientist. For realistic dissolution characterization, sink conditions, where saturation solubility of a drug in the dissolution medium is at least three times more than the drug concentration, are critical. These conditions can be problematic to maintain with formulations containing poorly‐soluble actives. This review summarizes the role of the dissolution test in the pharmaceutical industry, together with some traditional techniques/additives used to enhance solubility and facilitate the achievement of sink conditions. The biphasic dissolution system, an innovative model for the treatment of poorly‐soluble species, will also be discussed.
Structural Analysis of Multivariate Point Clouds Using Simplicial Chains

Topological and geometrical methods constitute common tools for the analysis of high‐dimensional scientific data sets. Geometrical methods such as projection algorithms focus on preserving distances in the data set. Topological methods such as contour trees, by contrast, focus on preserving structural and connectivity information. By combining both types of methods, we want to benefit from their individual advantages. To this end, we describe an algorithm that uses persistent homology to analyse the topology of a data set. Persistent homology identifies high‐dimensional holes in data sets, describing them as simplicial chains. We localize these chains using geometrical information of the data set, which we obtain from geodesic distances on a neighbourhood graph. The localized chains describe the structure of point clouds. We represent them using an interactive graph, in which each node describes a single chain and its geometrical properties. This graph yields a more intuitive understanding of multivariate point clouds and simplifies comparisons of time‐varying data. Our method focuses on detecting and analysing inhomogeneous regions, i.e. holes, in a data set because these regions characterize data in a different manner, thereby leading to new insights. We demonstrate the potential of our method on data sets from particle physics, political science and meteorology.
Convective Heat Transfer Across Rotating Cylinder at Unsteady Laminar Flow Regime

This paper is devoted to convective heat transfer across the rotating cylinder at unsteady state laminar flow regime.Governing equation Navier-Stroke equation used via the finite volume method for implicit pressure based model. The convective heat transfer calculated at Reynolds number (Re) = 100 and 200 with the range of spin rate (q) = 0 to 2.5 and constant Prandtl number (Pr = 0.7). The results visualize for various spin rate and Re, which show the effect of Nusselt number and local Nusselt number variation around the cylinder surface. KeywordsHeat transfer, Rotating cylinder, Nusselt number, Laminar flow.
USING VIRTUAL HUMANS TO SIMULATE LIMITED ENGLISH PROFICIENT HUMANS

of Thesis Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Master of Science USING VIRTUAL HUMANS TO SIMULATE LIMITED ENGLISH PROFICIENT HUMANS By Doaa T. El Sheikh December 2012 Chair: Benjamin Lok Major: Computer Engineering Virtual human technology has been recently exploited in medical training. In this thesis, we propose using virtual humans to simulate limited English-proficient humans to assess the quality of health care provided to pediatric patients whose parents have limited English proficiency. Through a user study, virtual humans were used to represent parents with different levels of English proficiency in a virtual pediatric interview setting. In the user study, medical students and residents interacted with virtual parents of different levels of English proficiency. The performance of medical students and residents when interviewing an English-proficient (EP) virtual mother and a limited English-proficient (LEP) mother was analyzed to assess the quality of the provided health care. The results lead to some interesting conclusions. Firstly, virtual humans can effectively simulate different English proficiency levels. Secondly, the performance of the study participants regarding eliciting important information from patients was significantly higher with English-proficient patients. This conclusion agrees with the nationally observed fact that limited English-proficient patients get lower quality of health care than English-proficient patients mainly due to patient-provider language discordance. Thirdly, study participants learned how to recast their questions to adapt to the English proficiency level of the virtual mothers.
Development and Validation of Social Intelligence Scale for University Students

The present research was undertaken to develop and validate the social intelligence scale. Attributes of social intelligence were elicited from 35 university students. After empirical validation, 431 university students were asked to rate themselves on the 98 item on a 4-point scale. Factor analysis revealed five factors namely; Social Manipulation (SM), Social Facilitation (SF), Social Empathy (SE), Extroversion (E), and Social Adaptability (SA). SM and SA appeared to be the two ends of social skills judged to be negative and positive. SM comprising rather devious set of items used to exploit others for selfish ends. SA represented honest and sincere interaction with others resulting in mutual benefit. SF was positively related to SE and SA whereas SM was not. Extroversion correlated highly with all factors. Construct validity was established with the help of Bar-On Emotional Quotient Inventory (Bar-On, 1997) and test retest reliability was also found to be satisfactory. The findings are discussed in terms of the factor structure and function of SI in the context of the culture.
ON THE AUTOREGRESSIVE FRACTIONAL UNIT INTEGRATED MOVING AVERAGE (ARFUIMA) PROCESS

This paper presents a nonstationary fractional unit integrated moving average process that can model time series data that are not stationary after the first difference. This is autoregressive fractionally unit integrated moving average, ( ) ,, ARFUIMA p d q process with 0.5 2.5 d < < . The classical unit differencing of Box-Jenkins is combined with the semi-parametric approach to estimate the fractional difference parameter. The model when applied on quarterly Nigerian gross domestic products (GDP) series indicates that ARFUIMA model is better than the corresponding autoregressive integrated moving average (ARIMA) model when compared based on diagnostic
Introducing the LCC Metaphor Datasets

In this work, we present the Language Computer Corporation (LCC) annotated metaphor datasets, which represent the largest and most comprehensive resource for metaphor research to date. These datasets were produced over the course of three years by a staff of nine annotators working in four languages (English, Spanish, Russian, and Farsi). As part of these datasets, we provide (1) metaphoricity ratings for within-sentence word pairs on a four-point scale, (2) scored links to our repository of 114 source concept domains and 32 target concept domains, and (3) ratings for the affective polarity and intensity of each pair. Altogether, we provide 188,741 annotations in English (for 80,100 pairs), 159,915 annotations in Spanish (for 63,188 pairs), 99,740 annotations in Russian (for 44,632 pairs), and 137,186 annotations in Farsi (for 57,239 pairs). In addition, we are providing a large set of likely metaphors which have been independently extracted by our two state-of-the-art metaphor detection systems but which have not been analyzed by our team of annotators.