Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of the Effects of Histogram Binning on the Accuracy and Precision of Particle Sizing Measurements

Most particle sizing instruments that may be considered particle counters measure particles one at a time and populate a frequency histogram with the results. There are two common types of histograms: those that are arithmetically spaced and those that are geometrically spaced. Any histogram can be described using a range, the number of bins, and a binning constant. The binning constant may be additive (e.g., an arithmetically spaced histogram), or it may be multiplicative (e.g., a geometrically spaced histogram). Arithmetically spaced histograms are the most common and are described in any course on statistics, one example being the normal or Gaussian distribution. Geometrically spaced histograms occur very often in nature, particularly in the field of fine particle characterization. An example of a geometrically spaced histogram is that of a lognormal distribution. The statistical characterization and properties of geometrically spaced histograms are taught far less often in general statistics courses. The theoretical process of generating a statistically robust, geometrically spaced histogram is mentioned in the literature, but the algorithms to do so are absent. Instruments that measure particle size distribution work on a wide array of technologies and underlying concepts. These underlying concepts often decide the type of weighting by which the data will be reported. As some examples, sieving will produce a mass-weighted particle size distribution (1), laser diffraction will produce a volume-weighted particle size distribution (2), and dynamic light scattering (DLS) will produce an intensity-weighted particle size distribution (3). Another common class of instruments are particle counters, which produce a number-weighted particle size distribution. Particle counters are somewhat unique in that they measure several particles in serial succession, one at a time. By contrast, all other technologies will measure a given property of an ensemble of particles at the same time then relate that property to particle size. Not only are counters able This work and derivation yielded two equations of note for a geometrically spaced histogram, one for the binning constant, cb, and one for the number of bins, k. With these equations, a conservative histogram may be constructed that has minimal effect on the accuracy and peak width of a number-weighted particle size distribution. Examples including a standard reference material and a real sample are given to show the effects of using these equations. Additionally, a sample of randomly distributed values is also analyzed, both with a traditional algorithm that lead to a discontinuous, discrete distribution, an effect known as over-binning, and the proposed equations, which lead to a continuous distribution. A Study of the Effects of Histogram Binning on the Accuracy and Precision of Particle Sizing Measurements
Stable Modeling on Resource Usage Parameters of MapReduce Application

Currently, Hadoop MapReduce framework has been applied to many productive fields to analyze big data. MapReduce applications based on the MapReduce programming model are used to generate and process such huge data. Due to various computational purpose, MapReduce applications have different resource requirements. For specific applications, the resource bottleneck of the cloud computing platform must inevitably impact its executive performance. Therefore, identification of the bottleneck about the allocated resource for MapReduce applications is crucially needed from the viewpoint of either cloud operators or program developers. In this paper, we model the relationship of resource usage parameters of MapReduce applications using multiple linear regression methods and investigate the minimum sampling time for stable modeling. Based on the analysis, we propose the approach which can be used to build stable performance model to expose the bottleneck resource of Hadoop platform and give the effective optimization suggestion.
Querying Strong Labels From Oracle Unlabeled Pool Labeled Pool Object Detector Actively Sample Images Retrain using updated labeled pool Querying Weak Labels From Oracle Unlabeled Pool Labeled Pool Object Detector Adaptive Supervision Module Actively Sample Images

Active learning approaches in computer vision generally involve querying strong labels for data. However, previous works have shown that weak supervision can be effective in training models for vision tasks while greatly reducing annotation costs. Using this knowledge, we propose an adaptive supervision framework for active learning and demonstrate its effectiveness on the task of object detection. Instead of directly querying bounding box annotations (strong labels) for the most informative samples, we first query weak labels and optimize the model. Using a switching condition, the required supervision level can be increased. Our framework requires little to no change in model architecture. Our extensive experiments show that the proposed framework can be used to train good generalizable models with much lesser annotation costs than the state of the art active learning approaches for object detection.
Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019

The number of users of social media continues to grow, with nearly half of adults worldwide and two-thirds of all American adults using social networking. Advances in automated data processing, machine learning and NLP present the possibility of utilizing this massive data source for biomedical and public health applications, if researchers address the methodological challenges unique to this media. We present the Social Media Mining for Health Shared Tasks collocated with the ACL at Florence in 2019, which address these challenges for health monitoring and surveillance, utilizing state of the art techniques for processing noisy, real-world, and substantially creative language expressions from social media users. For the fourth execution of this challenge, we proposed four different tasks. Task 1 asked participants to distinguish tweets reporting an adverse drug reaction (ADR) from those that do not. Task 2, a follow-up to Task 1, asked participants to identify the span of text in tweets reporting ADRs. Task 3 is an end-to-end task where the goal was to first detect tweets mentioning an ADR and then map the extracted colloquial mentions of ADRs in the tweets to their corresponding standard concept IDs in the MedDRA vocabulary. Finally, Task 4 asked participants to classify whether a tweet contains a personal mention of one’s health, a more general discussion of the health issue, or is an unrelated mention. A total of 34 teams from around the world registered and 19 teams from 12 countries submitted a system run. We summarize here the corpora for this challenge which are freely available at https://competitions.codalab. org/competitions/22521, and present an overview of the methods and the results of the competing systems.
Nanotechnology: A Miniature Miracle

Nanotechnology is the study of extremely small structures of 0.1 to 100 nm size. It is a relatively new field of science and technology. Nanotechnology represents an important scientific advancement and can contribute several benefits to human and animal health. Nanotechnology has various applications in the field of health and medicine, electronics, energy and environment. Numerous advancements in nanotechnology helps in treatment of various neuro degenerative disorders such as Parkinson’s disease, Alzheimer’s disease which are otherwise less curable by conventional medicines. Another wonder of nanoscience is nano-pharmaceuticals which detect diseases at an earlier stage. In just few years nanotechnology has shown a great progress in human and veterinary medicine. Scientists predict that such a progress in nanotechnology could represent a measure breakthrough in addressing some technical challenges faced by human and veterinary professionalists. Nanotechnology has a bright future, when merged with other technologies resulting in the emergence of new innovative hybrid technologies. Thus nanotechnology will raise our technological capabilities to another level, improving healthcare and quality of life, increase our standard of living and will drive further economic expansion into medical and veterinary profession.
Volumetric Correspondence Networks for Stereo Matching and Optical Flow

Many classic tasks in vision, such as the estimation of optical flow or stereo disparities, can be cast as dense correspondence matching. Well-known techniques for doing so make use of a cost volume, which is typically a 3D/4D tensor of match costs between all pixels in a 2D image and their potential matches in a 1D/2D search window. However, it typically requires significant amounts of memory and compute, leading to various limitations in practice. In this thesis, we investigate efficient and effective ways of incorporating cost volume processing into deep neural networks for correspondence tasks. In particular, we show that 1) for stereo matching on high-resolution images, 3D cost volumes can be efficiently filtered in a coarse-to-fine manner, and 2) for optical flow estimation, ”true” 4D volumetric processing can be effectively utilized to improve model’s accuracy as well as generalization ability. As a result, our stereo algorithm achieves state-of-the-art performance on the high-resolution Middlebury benchmark, and our optical flow algorithm is the leading entry among two-frames methods on KITTI as well as MPI Sintel.
Phosphorus Requirement and Effect of Particle Size on Phosphorus Bioavailability from Meat and Bone Meal for Broiler Chicks

The objective of this work was to determine the nutritional requirement of available P and the effect of the particle size in the P bioavailability from meat and bone meal for broiler chicks. Two hundred and fifty and 450 Hubbard broiler chicks from 1 to 21 days of age, respectively, were allotted to a completely randomized design, with five (requirement) or nine (bioavailab il ty) treatments, with five replicates and ten birds per experimental unit. The P requirements was determined by means of a basal die t with low P level (.15% available P), supplemented with five levels of P from the dicalcium phosphate. The phosphorus availability wa s estimated using the relation of the regression coefficient, considering the P from the dicalcium phosphate as 100% available. T he estimated nutritional requirement values of available P, determined with the Linear Response Plateau (broken line) ranged from . 311% (.10 4% available P/Mcal ME), for weight gain, to . 426% (.142% available P/Mcal ME), for tibia ash (g). The average P available values for meat and bone meal with large, medium and small particle size were 106.50, 103.56 and 121.94%, respectively.
Ju l 2 01 9 Rearrangement of 2 D aggregates of droplets under compression : signatures of the energy landscape from crystal to glass

Jean-Christophe Ono-dit-Biot, Pierre Soulard, Solomon Barkley, Eric R. Weeks, Thomas Salez, 5 Elie Raphaël, and Kari Dalnoki-Veress 2, ∗ Department of Physics & Astronomy, McMaster University, Hamilton, ON, L8S 4L8, Canada UMR CNRS Gulliver 7083, ESPCI Paris, PSL Research University, 10 rue Vauquelin, 75005 Paris, France Department of Physics, Emory University, Atlanta, GA 30322, USA Univ. Bordeaux, CNRS, LOMA, UMR 5798, F-33405 Talence, France Global Station for Soft Matter, Global Institution for Collaborative Research and Education, Hokkaido University, Sapporo, Japan (Dated: July 22, 2019)
1 Mobile Devices in Crossmodal Interfaces

We describe a crossmodal ambient display framework with which we aim to bridge the gap between ambient display technology and personal mobile human-computer interaction through the exploitation of aspects of crossmodal cognition. We utilize this framework in the construction of CROSSFLOW, a crossmodal ambient display prototype for indoor navigation, and demonstrate a significant increase in the performance of users navigating with CROSSFLOW in comparison to their performance with a standard map. Based on our empirical studies there is support for both the utility and desirability of crossmodal ambient displays. Evaluation of the prototype has shown that crossmodal ambient displays can support faster, more accurate and less cognitively demanding navigation than can a traditional map.
Jurnal Teknologi Dynamic Hysteresis Based Modeling Of Piezoelectric Actuators

Piezoelectric actuators are popularly applied as actuators in high precision systems due to their small displacement resolution, fast response and simple construction. However, the hysteresis nonlinear behavior limits the dynamic modeling and tracking control of piezoelectric actuators. This paper studies a dynamic model of a moving stage driven by piezoelectric stack actuator. The Bouc-Wen model is introduced and analyzed to express the nonlinear hysteresis term. Two triangular actuating voltages with frequency of 1 Hz and amplitudes of 80 V and 90 V are applied to drive the piezoelectric stack actuator. The results demonstrate the existence of the hysteresis phenomenon between the input voltage and the output displacement of the piezoelectric stack actuator, and validate the correctness of the model.
What is the Value of Being a Superhost?

We construct a search model where sellers post prices and produce goods of unknown quality. A match reveals the quality of the seller. Buyers rate sellers based on quality. We show that unrated sellers charge a low price to attract buyers and that highly rated sellers post a high price and sell with a higher probability than unrated sellers. We fi nd that welfare is higher with a ratings system. Using data on Airbnb rentals, we show that Superhosts and hosts with high ratings: 1) charge higher prices, 2) have a higher occupancy rate and 3) higher revenue than average hosts.
Series Number 4 Product Quality Under Regulated Monopoly

A monopolist regulated via a price cap may well have an incentive to change other variables of interest to consumers, in an attempt to shift the cost and demand curves in his favour. This paper develops a model in which the monopolist can vary product quality and the terms of a warranty, in response to price regulation. The regulated and unregulated monopoly outcomes are compared with the Pareto-efficient outcome. Acknowledgements. Precursors of this paper have been presented in seminars at the University of Edinburgh, Stirling University, Queen’s University (Belfast), University of East London, Kingston University, Staffordshire University, University of Melbourne (Australia), University of Waikato (New Zealand), University of Canterbury (New Zealand), Hamilton College/Colgate University joint seminar (USA) and Queen’s University (Canada). I am grateful for the invitations to those seminars, and for the constructive comments made. I am particularly indebted to John Hardman Moore and Simon Clark. I am also grateful to the Travel and Research Committee of the Faculty of Social Sciences, University of Edinburgh for a grant. The usual disclaimer applies.
EFFECTS OF THE METHANOL EXTRACTS PHALERIA MACROCARPA (SCHEFF) BOERL FRUITS ON ANGIOTENSIN CONVERTING ENZYME (ACE) ACTIVITY

The present study was carried out to investigate the antihypertensive effect and Angiotensin Converting Enzyme activity of methanolic extract of Phaleria macrocarpa (Scheff) Boerl fruits in rats . Hypertension was induced experimentally by 10% w/v fructose diet ad libitum for 8 weeks. P. marcocarpa was given at the dose 0.5, 1 and 2 g/kg BW start at week 6 until week 8 and 1 g/kg BW for 8 weeks. Blood pressure was measured at baseline and at every weeks for 8 weeks using tail-cuff plethysmography. After completion of treatment schedule rats from each group were anesthetized with urethane (120 mg/100 gm, i. p.). Blood was collected and then centrifugated to obtain plasma and later store at-70C for analysis activity ACE plasma. The results suggests that methanol extract of Phaleria marcocarpha could prevent the development high blood pressure and normalized blood pressure in rat induced by diet rich in fructose. The results tend to suggest that methanol extracts of possesses antyhipertensive activity, through inhibition of angiotensin converting enzyme.
MALE CONTRIBUTION TO PROLIFICACY AT EARLY STAGE OF GESTATION

The objective of this research was to assess the male contribution to the number of implanted embryos and embryonic survival in a line selected for ovulation rate for 10 generations. In prolific species, these traits could be considered as fertility measurements because they indicate the number and rate of fertilized ova which are able to initiate the embryo development. Selection was based on the phenotypic value of ovulation rate estimated at day 12 of second gestation by laparoscopy. Traits recorded were ovulation rate (OR) estimated as the number of corpora lutea in both ovaries, implanted embryos (IE) estimated as the number of implantation sites and embryonic survival (ES) calculated as IE/OR. A total of 1,477 records from 900 females were used to analyze OR, whereas 1,081 records were used to analyze IE and ES. The number of animals in the pedigree was 1107. The h of the male contribution to IE and ES were low (0.05 [0.01, 0.10] and 0.07 [0.02, 0.12]). The genetic correlations between all the analyzed traits and also between male and female genetic components of EI and ES were estimated with great imprecision and it was not possible to draw any conclusion about them. As expected, the proportion of variation due to the male non-additive genetic plus permanent environmental effects for IE and ES was almost negligible (0.027 [0.001, 0.058] and 0.031 [0.002, 0.068] for EI and ES, respectively), being the repeatability for male contribution to EI and ES around 8% and 10%, respectively.
MISEV 2018 ) : a position statement of the International Society for Extracellular Vesicles and update of the MISEV 2014 guidelines

The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014. We now update these “MISEV2014” guidelines based on evolution of the collective knowledge in the last four years. An important point to consider is that ascribing a specific function to EVs in general, or to subtypes of EVs, requires reporting of specific information beyond mere description of function in a crude, potentially contaminated, and heterogeneous preparation. For example, claims that exosomes are endowed with exquisite and specific activities remain difficult to support experimentally, given our still limited knowledge of their specific molecular machineries of biogenesis and release, as compared with other biophysically similar EVs. The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific EV-associated functional activities. Finally, a checklist is provided with summaries of key points. ARTICLE HISTORY Received 20 September 2018 Accepted 25 September 2018
Explicitating semantics in Enterprise Information Systems Models

Interoperability can be defined as the ability of two or more systems to share, to understand and to consume information (IEEE, 1990). The work (Chen et al., 2006) in the INTEROP NoE project has identified three different levels of barriers for interoperability: technical, conceptual and organisational. Our research focuses on the conceptual level of interoperability, namely the ability to understand the exchanged information. Information may be defined as data linked to knowledge about this data. This research memory will show the results obtained during the Post Doc study referring to the published works. It deals with a first phase from our general research work that focuses on the study of the semantic loss that appears in the exchange of information about business concepts. In order to quantify the semantic gap between interoperating ISs, their semantics needs to be enacted and structured by enriching, normalising and analysing their conceptual models. We propose a conceptualisation approach for explicitation of the finest-grained semantics, embedded into conceptual models in order to facilitate the semantic matching between two different information systems that have to interoperate. The structure of the document represents the different steps and the research domain on which the study focused.
DEVELOPMENT OF A CONCEPTUAL TEAM BRAND EQUITy MODEL FOR THE

Introduction As sport teams continue to examine ways to extend their brand, impact revenue and create loyalty it is increasingly important to understand the power of their brand. In particular, teams must have knowledge of their overall brand equity, what influences this equity, and the potential outcomes associated with creating positive brand equity. While this has been studied considerably in general business and marketing literature, it is not until recently that this has received some attention in sport literature. In particular, advances have been made in the study of the creation of brand equity in team sport. However, one area which has not been considered is how brand equity may differ among different segments of consumers. Literature Review A variety of conceptualizations of brand equity exist outside of sport with the two most prominent attributed to Aaker (1996) and Keller (1993). While the models vary, both indicate that brand awareness and brand associations will impact brand equity. Within sport there are also a handful of models with the most commonly examined being the team based brand equity model developed by Ross (2006). This model suggests that there are a variety of antecedents (e.g., organization, market and experience induced) which impact brand equity. In turn, the creation of equity will have a variety of consequences including the ability of the team to create loyalty, gain media exposure, and generate revenue. However, the model does not indicate how it can be applied with different target segments. One such segment of the market which is important for teams to reach is the youth segment. The youth consumer continues to grow in terms of their knowledge of products, brands and decision making strategies (Roedder-John, 1999). Research has indicated that the most important development of consumer knowledge and skills occurs between the ages of 7 and 11(Roedder-John). It is at this point that children begin to develop loyalty towards brands and have a more complex understanding of advertising and branding. However, it has also been found that in some instances children as young as five years of age may develop loyalties towards sport teams (James, 2001). As such, it is important to understand what may impact the brand equity of youth consumers as they continue to develop more sophisticated consumer skills.