Miracle-dz/UniFAR-FTUs huggingface dataset:
Comments on the Efficacy of Sign Constraints in Portfolio Construction

In active management, one of the pragmatic issues of portfolio construction is whether it is commonly appropriate to overweight securities that are expected to underperform benchmark indices, or to underweight securities that are expected to outperform benchmark indices in order to improve the diversification of portfolios. After more than twenty years of observations across thousands of portfolios, we assert that sign constraints on portfolio construction are at worst benign, and often helpful. This assertion is based on a series of arguments, both theoretical and practitioner-oriented.
Ghost in the (Hollywood) machine: Emergent applications of artificial intelligence in the film industry

This article examines the nascence of artificial intelligence (AI) applications in the film industry at the greenlighting stage, where decisions are made as to the feasibility and earning potential of film projects. Through a qualitative analysis of company case studies, interviews, and media discourse, I interrogate and tease out the ethical, cultural, and industrial implications emerging from the use of AI in influencing decisions about film production, particularly the ways the use of AI might influence notions of creativity, labour, and reception. The article sets out possible research agendas for the future to critically engage with this emerging phenomenon.
Idaho Drone League (iDrone) to Stimulate STEM workforce

The Idaho Drone League (iDrone) was launched to inspire the next generation’s 8 workforce through engagement with STEM research and education. Idaho youth (middle/high 9 school students) participated in four two-day drone workshops in locations across Idaho. The 10 workshops integrated computer science, technology, engineering, and STEM career education. 11 Students worked in groups to build, fly, and program drones and learned federal regulations and 12 safety guidelines. The students interacted with local professionals using their professional drones 13 at the workshop and in addition were introduced to drone research applications. Throughout the 14 workshops, the students also shared and explored their own creative ideas for future drone 15 applications and technologies. The preliminary results from student surveys demonstrate that 16 iDrone can improve the preparedness of Idaho youth for college and careers in STEM fields.
Power electronics in Smartgrids - Impact on power system reliability

The leading themes in the distribution network development are the cost effectiveness and system reliability. Also the requirements for reducing pollution and increasing the service quality are issues, which have led to the introduction of SmartGrids network concepts. These network solutions are mostly dependent on power electronics, applied to connection of loads, generation and storages to the independently operable low-voltage (LV) grids. One of such solutions is the low voltage DC (LVDC) distribution system, which is an interesting challenger to the AC low voltage network solutions. An often-asked question is how the shorter lifetimes of power electronics compared to the traditional network components affect on the reliability of the electricity distribution and also to its total costs. In the this paper the question about the reliability development is approached from two mainpoints of view: The component level focusing on the reliability of power electronics based network components, and the system level concentrating on the power quality experienced by the customers and the effects of converters on the entire distribution system reliability. The question of the reliability impact of large-scale utilization of power electronics in electricity distribution is relevant, when considering the direction of the technical development in electricity distribution. This paper is especially aimed at discussing the modelling of the reliability impacts in the case of the LVDC-system. (4 pages)
Global CO2 emissions from cement production, 1928–2018

Abstract. Global production of cement has grown very rapidly in recent years, and after fossil fuels and land-use change, it is the third-largest source of anthropogenic emissions of carbon dioxide. The availability of the required data for estimating emissions from global cement production is poor, and it has been recognised that some global estimates are significantly inflated. This article assembles a large variety of available datasets, prioritising official data and emission factors, including estimates submitted to the UNFCCC plus new estimates for China and India, to present a new analysis of global process emissions from cement production. Global process emissions in 2018 were 1.50 ± 0.12 Gt CO2, equivalent to about 4 % of emissions from fossil fuels. Cumulative emissions from 1928 to 2018 were 38.3 ± 2.4 Gt CO2, 71 % of which have occurred since 1990. The data associated with this article can be found at https://doi.org/10.5281/zenodo.831454 (Andrew, 2019).
Wsn Based Smart Sensor and Actuator for Power Management in Intelligent Buildings

The design and development of a smart monitoring and controlling system for household electrical appliances in real time has been reported in this paper. The system principally monitors electrical parameters of household appliances such as voltage and current and subsequently calculates the power consumed. The novelty of this system is the implementation of the controlling mechanism of appliances in different ways. The developed system is a low-cost and flexible in operation and thus can save electricity expense of the consumers. The prototype has been extensively tested in real-life situations and experimental results are very encouraging. KEYWORDS : Energy management; home automation; intelligentcontrol system;wireless sensor network; Zig Bee.
Materials Characterization of CIGS solar cells on Top of CMOS chips

In the current work, we present a detailed study on the material properties of the CIGS layers, fabricated on top of the CMOS chips, and compare the results with the fabrication on standard glass substrates. Almost identical elemental composition on both glass and CMOS chips (within measurement error). From X-ray diffraction measurement, except two peaks from the Si substrate, the diffraction peaks from CIGS solar cell CMOS chip and that on glass substrate coincide for all three temperatures. Helium ion microscope images of the cross-section and top view of the CIGS layers, shows that the grain size is suitable for high efficiency solar cells.
Waste Electrical and Electronics Equipment Classification using Deep Neural Network Sensor Fusion

The recycling of Waste Electrical and Electronic Equipment is an issue of growing importance. Classification and sorting of these products in recycling plants can be a promising approach to leverage the full value of these waste streams. We present a sensor fusion approach employing convolutional neural networks to classify WEEE products using an RGB camera with NIR capability in a waste sorting scenario. We demonstrate that convolutional neural networks trained on natural images can be used as feature extractors before a final output neural network layer that adapts to this domain of image classification. This approach means that adaptation to this domain can be done with a relatively small amount of training data. The paper presents a dataset containing 10 classes of WEEE objects, such as cellphones, blender sticks, power drills and electrical kettles, recorded in a realistic sorting scenario. The resulting sensor fusion network produces a classification accuracy of 73% for images with overlapping objects from the 10 classes.
Tropical tropopause ice clouds: a dynamic approach to the mystery of low crystal numbers

The occurrence of high, persistent ice supersaturation inside and outside cold cirrus in the tropical tropopause layer (TTL) remains an enigma that is intensely debated as the "ice supersaturation puzzle". However, it was recently confirmed that observed supersaturations are consistent with very low ice crystal concentrations, which is incompatible with the idea that homogeneous freezing is the major method of ice formation in the TTL. Thus, the tropical tropopause "ice supersaturation puzzle" has become an "ice nucleation puzzle". To explain the low ice crystal concentrations, a number of mainly heterogeneous freezing methods have been proposed. Here, we reproduce in situ measurements of frequencies of occurrence of ice crystal concentrations by extensive model simulations, driven by the special dynamic conditions in the TTL, namely the superposition of slow large-scale updraughts with high-frequency short waves. From the simulations, it follows that the full range of observed ice crystal concentrations can be explained when the model results are composed from scenarios with consecutive heterogeneous and homogeneous ice formation and scenarios with pure homogeneous ice formation occurring in very slow ( −1 ) and faster (> 1 cm s −1 ) large-scale updraughts, respectively. This statistical analysis shows that about 80% of TTL cirrus can be explained by "classical" homogeneous ice nucleation, while the remaining 20% stem from heterogeneous and homogeneous freezing occurring within the same environment. The mechanism limiting ice crystal production via homogeneous freezing in an environment full of gravity waves is the shortness of the gravity waves, which stalls freezing events before a higher ice crystal concentration can be formed.
Contention Resolution with Constant Throughput and Log-Logstar Channel Accesses

For decades, randomized exponential backoff has provided a critical algorithmic building block in situations where multiple devices seek access to a shared resource. Despite this history, the performance of standard exponential backoff is poor under worst-case scheduling of demands on the resource: (i) subconstant throughput can occur under plausible scenarios, and (ii) each of $N$ devices requires $\Omega(\log N)$ access attempts before obtaining the resource. In this paper, we address these shortcomings by offering a new backoff protocol for a shared communication channel that guarantees expected constant throughput with only $O(\log(\log^* N))$ channel accesses in expectation, even when packet arrivals are scheduled by an adversary. Central to this result are new algorithms for approximate counting and leader election with the same performance guarantees.
Ebola virus disease in the Democratic Republic of Congo.

BACKGROUND The seventh reported outbreak of Ebola virus disease (EVD) in the equatorial African country of the Democratic Republic of Congo (DRC) began on July 26, 2014, as another large EVD epidemic continued to spread in West Africa. Simultaneous reports of EVD in equatorial and West Africa raised the question of whether the two outbreaks were linked. METHODS We obtained data from patients in the DRC, using the standard World Health Organization clinical-investigation form for viral hemorrhagic fevers. Patients were classified as having suspected, probable, or confirmed EVD or a non-EVD illness. Blood samples were obtained for polymerase-chain-reaction-based diagnosis, viral isolation, sequencing, and phylogenetic analysis. RESULTS The outbreak began in Inkanamongo village in the vicinity of Boende town in Équateur province and has been confined to that province. A total of 69 suspected, probable, or confirmed cases were reported between July 26 and October 7, 2014, including 8 cases among health care workers, with 49 deaths. As of October 7, there have been approximately six generations of cases of EVD since the outbreak began. The reported weekly case incidence peaked in the weeks of August 17 and 24 and has since fallen sharply. Genome sequencing revealed Ebola virus (EBOV, Zaire species) as the cause of this outbreak. A coding-complete genome sequence of EBOV that was isolated during this outbreak showed 99.2% identity with the most closely related variant from the 1995 outbreak in Kikwit in the DRC and 96.8% identity to EBOV variants that are currently circulating in West Africa. CONCLUSIONS The current EVD outbreak in the DRC has clinical and epidemiologic characteristics that are similar to those of previous EVD outbreaks in equatorial Africa. The causal agent is a local EBOV variant, and this outbreak has a zoonotic origin different from that in the 2014 epidemic in West Africa. (Funded by the Centre International de Recherches Médicales de Franceville and others.).
Automatic Text Summarization of Chinese Legal Information

Article is devoted to a method of automatic text summarization of the legal information provided in Chinese. The structure of the abstract and the model of its formation is considered. Two approaches are suggested. First one is determination of weight of separate hieroglyphs instead of words in the texts of documents and abstracts for sentences importance level determination process. Second approach is to consider a model of document as a network of sentences for detection of the most important sentences by parameters of this network. Various methods of automatic text summarization are performed and tested. A cosine measure and Jensen-Shannon divergence are applied as two estimates of quality of the paper abstracts without participation of experts. Compared to other summarizing methods, given one on the basis of the suggested network model of the document was the best by criteria of a cosine measure and Jensen-Shannon's distances for abstracts which volume exceeds 2 sentences. The suggested approach, with minimal modifications, can be applied to texts on any subject of scientific, technical or news information.
Cosmology with anisotropic galaxy clustering from the combination of power spectrum and bispectrum

The apparent anisotropies of the galaxy clustering in observable redshift space provide a unique opportunity to simultaneously probe cosmic expansion and gravity on cosmological scales via the Alcock-Paczynski effect and redshift-space distortions. While the improved theoretical models have been proposed and developed to describe the apparent anisotropic clustering at weakly non-linear scales, the applicability of these models is still limited in the presence of the non-perturbative smearing effect caused by the randomness of the relative velocities. Although the cosmological constraint from the anisotropic clustering will be improved with a more elaborate theoretical model, here we consider an alternative approach using the statistical power of both the power spectrum and bispectrum at large scales. Based on the Fisher matrix analysis, we estimate the benefit of combining the power spectrum and bispectrum, finding that for the future spectroscopy survey DESI (Dark Energy Spectroscopy Instrument), the constraints on the cosmic expansion and growth of structure will be improved by a factor of two. This approach compensates for the loss of constraining power, using the power spectrum alone, due to the randomness of the relative velocities.
Mario Cáceres Element Inversion by a Transposable Drosophila Generation of a Widespread

clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): July 24, 2012 www.sciencemag. org (this information is current as of The following resources related to this article are available online at http://www.sciencemag.org/content/285/5426/415.full.html version of this article at: including high-resolution figures, can be found in the online Updated information and services, http://www.sciencemag.org/content/285/5426/415.full.html#ref-list-1 , 5 of which can be accessed free: cites 22 articles This article 86 article(s) on the ISI Web of Science cited by This article has been http://www.sciencemag. org/content/285/5426/415.full. html#related-urls 41 articles hosted by HighWire Press; see: cited by This article has been http://www.sciencemag. org/cgi/collection/genetics Genetics subject collections: This article appears in the following
LOCATION CHOICE BEHAVIOR MODELING OF SHRIMP FISHERMEN IN THE GULF OF MEXICO

The shrimp fishery accounts for more than one-half of the total revenues generated by commercial fishing activities in the U.S. Gulf of Mexico. Due to its historical open access nature the harvesting sector has historically been overcapitalized (from an economic perspective) resulting in a suboptimal generation of rents. Various management measures have been considered/implemented in an effort to reduce shrimp trawling externalities. The studies upon which many of these measures were based, however, have failed to account for the behavioral reaction of the shrimp fishermen to the policy. As a result, enacted regulations may not have achieved the anticipated goal(s) and proposed management measures are likely not to meet expectations. Based on sound discrete choice theory, the purpose of this paper is to develop an analysis of shrimpers_ spatial behavior under uncertainty and to provide an ex post empirical economic analysis of this behavior. Location choice decision is modeled in an effort to examine short-run behavior of the shrimp fleet in response to economic and non-economic factors of relevance including (a) proposed regulation, (b) seasonality, (c) past siting choice experience, (d) risk attitudes, (e) vessel mobility, (f) profit, and (g) crowding effects. The development and empirical testing of this model will be used to assess and forecast spatial activities of fishermen for more effective management of the Gulf of Mexico shrimp fishery.
Pressure from particle image velocimetry for convective flows: a Taylor’s hypothesis approach

Taylor’s hypothesis is often applied in turbulent flow analysis to map temporal information into spatial information. Recent efforts in deriving pressure from particle image velocimetry (PIV) have proposed multiple approaches, each with its own weakness and strength. Application of Taylor’s hypothesis allows us to counter the weakness of an Eulerian approach that is described by de Kat and van Oudheusden (2012 Exp. Fluids 52 1089–106). Two different approaches of using Taylor’s hypothesis in determining planar pressure are investigated: one where pressure is determined from volumetric PIV data and one where pressure is determined from time-resolved stereoscopic PIV data. A performance assessment on synthetic data shows that application of Taylor’s hypothesis can improve determination of pressure from PIV data significantly compared with a time-resolved volumetric approach. The technique is then applied to time-resolved PIV data taken in a cross-flow plane of a turbulent jet (Ganapathisubramani et al 2007 Exp. Fluids 42 923–39). Results appear to indicate that pressure can indeed be obtained from PIV data in turbulent convective flows using the Taylor’s hypothesis approach, where there are no other methods to determine pressure. The role of convection velocity in determination of pressure is also discussed.
Uric Acid and Vascular Complications in Type 2 Diabetes Mellitus

DOI: 10.21276/sjams.2017. 5.11. 9 Abstract: Uric acid is a risk factor for vascular disease and many experimental and epidemiological data have suggested a possible role for hyperuricemia in inducing endothelial dysfunction, which is involved in diabetes mellitus type 2. It has been associated with various complications like nephropathy, neuropathy, cardiovascular morbidity, retinopathy and other vascular complications etc. The aim of our study was to ascertain the role of serum uric acid in vascular complications of type 2 DM. 1000 patients with type 2 Diabetes Mellitus diagnosed according to ADA criteria from outpatient of diabetic clinic were taken up in the study. These were divided into 2 subgroups depending upon presence or absence of complications as AI (with vascular complications) and AII (without vascular complications). 380 diabetics were without complications, 150 had diabetic neropathy, 70 had diabetic nephropathy, 220 had cardiovascular morbidity, 60 had diabetic retionopathy or cataract while 120 had other complications like gastroparesis, triopathy, frequent UTI, perineal infections, NASH etc. The mean serum uric acid in diabetics without complication (4.43+1.40 mg/dL) was significantly less as compared to mean serum uric acid in those having cardiovascular morbidity due to diabetes (p=.014), those with diabetic retinopathy (p=.004). The mean serum uric acid in those with diabetic neuropathy (p=.027) was significantly lower as compared to those with diabetic retinopathy. The mean serum uric acid value in diabetic nephropathy (p= .005), cardiovascular morbidity due to diabetes (p<.001) and diabetic retinopathy (p<.001) was significantly higher as compared to controls while in those with other complications (p=.031) was significantly lower as compared to those having diabetic retinopathy. The association of uric acid with a particular complication was not clear . Though hyperuricemia is not directly responsible for vascular injury and simply represents a surrogate marker for high levels of damaging oxidative stress involved in pathogenesis of various complications of DM type 2.
Development and Validation of Entrepreneurship Education Interest Inventory (EEII) for Colleges of Education in North Eastern Nigeria

This study developed and validated Entrepreneurship Education Interest Inventory (EEII) in Colleges of education in North-Eastern Nigeria. The study used instrumentation as its research design. The population of the study consists of all NCE II students of schools of vocational and technical education from six colleges of education, one from each state of the region which was exactly 2898 students. Samples of 952 students were randomly selected from the study area using stratified random sampling. Hidi and Renninger&#39;s (2006) four-phase model of interest development was used to serve as theoretical basis that inform and guided the process of development and validation of the interest inventory. The study reviewed several empirical studies conducted for development and validation of instruments. Four objectives, three research questions and one hypothesis were used for the study. The instrument revealed reasonable psychometric properties in term of construct validity, reliability and standard error of measurement. Construct validity was determined using factor analysis and Average variance extracted. The result of the factor analysis confirmed the loading of the variables to the four factors as propounded by Hidi Renninger. The EEII has evidence of convergent construct validity among five items each for the four factors (Knowledge, Engagement, Emotion and Value) with average variance extracted of 0.8008, 0.7948, 0.7702, and 0.77 respectively. The instrument has high reliability index estimated to be . 878 using Cronbach&#39;s Alpha. The instrument also has a standard error of measurement (SEM) of 4.410771. The research has found a significant relationship between interest in entrepreneurship education and academic achievement in entrepreneurship education in the study area with Pearson’s correlation of 0.378 with significant value of 0.001 at 0.01 level of significance. The hypothesis “there is no significant relationship between interest in entrepreneurship education and academic achievement in entrepreneurship education in colleges of education in north Eastern Nigeria” was therefore rejected based on the significant value of 0.001 (highly significant at ˂0.05)