Miracle-dz/UniFAR-FTUs huggingface dataset:
Forecasting emerging technologies with deep learning and data augmentation: convergence emerging technologies vs non-convergence emerging technologies

： Forecasting emerging technologies can help governments and enterprises in various countries to grasp the key to success in a new round of technological competition. The emergence of emerging technologies has multiple patterns and the development of emerging technologies with different emerging patterns will have fundamentally different requirements for governments and enterprises. Technological innovation based on multi-field technology convergence which can create numerous opportunities for development has leaded to great attention. The current research to convergence emerging technologies forecasting is mainly network analysis, text mining and evolution path clustering. We can’t achieve a full automation forecast process to utilize these unsupervised methods, due to a large amount of domain knowledge is required to analyze the characteristics of the convergence emerging technologies. Supervised learning can automatically obtain forecasting results that use the already trained model, however, which requires the selection of excellent features and a large amount of labeled data to train forecast model. In this paper, we transform the forecasting question of emerging technologies into a multi-classification supervised machine learning question and propose an approach that forecasting convergence emerging technologies, non-convergence emerging technologies with deep learning and data augmentation . Our evaluation reveals that our proposed approach can forecast the convergence emerging technologies and non-convergence emerging technologies 1 year before they emerge with high precision.
YAGO+F - Aligning Freebase with the YAGO Ontology

Linked Open Data (LOD) has emerged as the de-facto standard for publishing data on the Web. The cross-domain large scale Freebase and YAGO datasets represent central hubs and reference points for the LOD cloud. Freebase is an open-world large scale dataset which contains about 22 million entities and more than 350 million facts in more than 100 domains. The scale of Freebase makes it difﬁcult for the users to get an overview of the data and efﬁciently retrieve the desired information. Integration of Freebase with the YAGO ontology that contains more than 360,000 concepts enables us to provide more semantic information for Freebase and to facilitate novel applications, such as efﬁcient query construction, over large scale data. In this paper we analyze the structure of YAGO in more depth and show how to match YAGO and Freebase categories. The new YAGO+F structure that results from our matching tightly connects both datasets and provides an important next step to systematically interconnect LOD subcollections. We make our YAGO+F structure available online in the hope that it can provide a good starting point for future applications, which can build upon a wide variety of Freebase data clearly arranged in the semantic categories of YAGO.
Comparison of Hand Gesture Techniques for Telemetry

: Gesture Signal acknowledgment has built up a ton in most recent couple of decades. It empowers Human Computer Interface (HCI) with no mechanical gadgets. Gesture Signal acknowledgment is a system for PCs to understanding human non-verbal communication, along these lines interacting a wealthier expression amongst machines and people than GUIs (graphical UIs), that limit the majority of input to keyboard and mouse.HCI makes PC working more easy and compatible. Gesture Signal might include hand; confront face detection and so on. This paper mainly centers on Hand Gesture Recognition. A hand motion gives an effective method for communicating ones thoughts with the PC collaboration framework. This paper accentuation on various hand signal methodologies, innovations and applications.
University of Groningen Gender differences in the impact of family background on leaving the parental home Blaauboer,

We address the question to what extent characteristics of the family of origin influence the timing of leaving the parental home and to what extent these effects differ between men and women. We use data from the Netherlands Kinship Panel Study to examine the effects of parental resources, atmosphere in the family of origin and family structure on leaving home to live without a partner and leaving home to live with a partner. The results indicate that a pleasant atmosphere in the parental home decreases the risk of leaving home and living in stepfamilies or single-parent families increases this risk. The availability of parental resources leads to a decreased risk of leaving home at young ages, but an increased risk at later ages. Many of these effects are found for both men and women and for both pathways out of the home. Furthermore, we find evidence that women are affected more strongly by family background characteristics than men are.
Pressure Injury Prevention and the Role of the Patient: A Mixed Methods Study

Pressure injuries are acknowledged worldwide as a quality care indicator and a patient safety issue. Pressure injuries have negative impacts for patients, nurses and healthcare organisations in terms of physical and emotional distress, increased workloads and economic burden. Additionally, pressure injuries result in reduced community confidence in the healthcare system. Internationally and in Australia, pressure injury prevalence rates are concerning, with sustained reductions difficult to achieve despite the availability of prevention resources. International clinical practice guidelines recommend pressure injury prevention strategies that are widely adopted by clinicians. There is agreement these strategies may help prevent the development of pressure injuries, however, nurses’ planning and implementation of these strategies often does not reflect best practice standards, possibly placing patients at risk. This mixed methods, multicentre study had two aims: first, to describe the pressure injury prevention clinical practices in hospitalised adult medical patients with reduced mobility; and second, to describe patients’ perceptions of their current and future role in pressure injury prevention care. Utilising a sequential, explanatory research design, this study used a priority-sequence model whereby the quantitative data was collected first, followed by the qualitative data. A consecutive sample of 241 participants with reduced mobility was recruited to the study. Chart audits and semi-structured observations were used to collect the quantitative data; with the observations conducted at 30-minute intervals over a continuous 24-hour period.
WOUND HEALING POTENTIAL OF MEDICINAL PLANTS FROM PERIYAKOMBAI HILL AREA, NAMAKKAL DISTRICT, TAMIL NADU

The herbal medicines occupy distinct position right from primitive period to the present-daytime. The utilization of biologically diverse plant resources for various ailments is the lifelong struggle of human race. This paper documents the traditional knowledge of medicinal plants that are in use by the indigenous Malayali tribes residing in few isolated pockets of south India. The present study was done through structured questionnaires in consultations with the tribal practitioners and has resulted in the documentation of 41 medicinal plants belonging to 23 families and 40 genera. For curing wounds, the use of aboveground plant parts was higher (73.80%) than the underground plant parts (26.20%). Of the aboveground plant parts, leaf, stem, bark, fruits, seed and flowers. Different underground plant forms such as root, tuber and rhizome were also found to be in use by the Malayali tribe as a medicine. The study shows a high degree of ethnobotanical novelty and the use of plants among the Malayali reflects the revival of interest in traditional folk medicine.
Applying Group Research Framework to Knowledge Management

This paper describes the similarities shared between group research and knowledge management research, and proposes a framework derived from group research which consists of five contextual variables: individual, group (team), task, environment and knowledge type. More-over, it examines the relationships among these five variables, behavior setting (i.e. patterned relations among group, task, and knowledge types), and knowledge interaction processes (e.g. knowledge creation, transfer, application and others), then sums up several existing KM studies within this framework. Lastly, this paper shows that the existing KM frameworks could fit in with this new framework.
Tapping on the Move: Fitts’ Law Under Mobile Conditions

Stylus-based interactions are a critical interaction technique for PDA devices due to their compact size. The validity of the classic Fitts’ Law model is unclear under mobile conditions. We conducted a study, investigating the efficacy of a basic stylus operation, tapping, when performed under normal seated conditions as well as when participants walked either slow or fast on a treadmill. Although walking causes instability and difficulties coordinating PDA device with stylus, resulting in challenges with tapping tasks that require precision, Fitts’ Law remained an effective tool explaining over 90% of the variance under both walking conditions. Our results indicate that the selection times for mobile interactions can be estimated by using a smaller IP value in the equation obtained under seated condition. Practical design strategies are derived to guide the development of solutions that can be used effectively under mobile conditions.
Jasmonate-responsive Allene Oxide Cyclase gene expression in Arabidopsis is regulated by the AP2/ERF-domain transcription factor ORA47

Jasmonic acid (JA) and its cyclic precursors and derivatives, collectively referred to as jasmonates (JAs), constitute a family of bioactive oxylipins that regulate plant responses to wounding, herbivory and pathogen infection. Genes encoding JA biosynthesis enzymes are themselves responsive to JA. Here we studied the mechanism of JA-responsive expression of a small gene family in Arabidopsis encoding the JA biosynthesis enzyme allene oxide cyclase (AOC). Previously it was shown that the AP2/ERF-domain transcription factor ORA47 activates the expression of a whole suite of JA biosynthesis genes including AOC2 when overexpressed (Pré, 2006). Here we show that the expression of all four members of the AOC gene family was induced by overexpression of ORA47. A GCC-like box in the AOC2 promoter interacted specifically with ORA47 in vitro and in vivo, and this GCC box is important for ORA47-mediated activity of the AOC2 promoter. In addition we show that ORA47 interacted with the AOC1 promoter in vivo and that ORA47 can trans-activate the AOC1 promoter in a transient assay.
Fármacos inibidores da REDUTASE da HMGCOA

This article is a short review of the pharmacological profile of the 3-hydroxy-3methylglutaryl-coenzyme A reductase inhibitors - also known as statins - marketed in Portugal. The mechanism of action, the pharmacodynamic activities on serum lipids (LDL-cholesterol, HDL-cholesterol and tryglicerides) according to different doses, the absorption and metabolism, the safety and drug-drug interactions profiles are described. Initial therapeutic doses, as well as recommendations for dose titrations, are also presented, along with a brief presentation of other potential pharmacological effects of statin drugs, beyond serum lipid levels modifications.
Wholesale Price Discrimination and Consumer Search∗

We analyze the incentives behind wholesale price discrimination in a vertically related market with heterogeneous consumer search. By engaging in wholesale price discrimination, a manufacturer creates asymmetries between ex-ante symmetric retailers and indirectly screens searching consumers. Low-cost retailers sell to a disproportionate share of low search cost consumers, giving them stronger incentives to compete; high-cost retailers also lower their margins given they have a smaller customer base as low search cost consumers leave. We show that this pricing practice creates more competition in the retail market and increases manufacturer’s profit, but leads to lower consumer welfare. Without commitment, it is not an equilibrium outcome, however. Legislation requiring recommended retail prices to attract positive sales serves as a commitment device enabling the manufacturer to engage in price discrimination. Without legislation aiming to protect them, consumers are better off. JEL Classification: D40; D83; L13
Performance, Power and Area Exploration of Cache for Embedded Applications

- Power dissipation, and the resulting heat issues, has become possibly the most critical design constraint of modern and future processors that contain caches. This concern only grows as the semiconductor industry continues to provide more transistors per chip in pace with Moore’s Law. Industry has already shifted gears to deploy architectures with multiple cores, multiple threads , and large caches so that processors can be clocked at a lower frequency and burn less power, while still getting better overall performance. Controlling power and temperature in future multi-core and many-core processors will require even more novel architectural approaches. In this paper we find out the optimum performance per power consumption points for cache sizes based on design space exploration using a new energy model considering dynamic and leakage energy of cache for embedded applications. Full exploration is performed based on different parameters to find out the optimum and best cache configuration. Results show that in different feature sizes 30% of static power and 43 % of total power of an embedded core is consumed in the cache hierarchy in average. It means based on this work in smaller feature sizes and for embedded application that can tolerate performance lose up to 3%, we should select smaller cache hierarchy to deliver better performance per power as the most important parameter in designing embedded systems.
NATO’s Comprehensive Approach in Afghanistan: Origins, Development, and Outcome

The international effort in Afghanistan has been plagued by the presence of too many intervening actors with different interests and approaches going about their specific tasks without proper coordination with each other. This has made the combined international effort in Afghanistan ineffectual at providing security, development and governance. NATO, in recognizing that this lack of coordination was a problem and in trying to solve it, adopted the so-called ‘Comprehensive Approach’ (CA). The CA entails that political, civilian and military instruments are necessary for effective crisis management, and that NATO (which has primarily been focused on the military dimension) needs to work closer with political and civilian actors, and even develop civilian capabilities of its own.
Survival and recovery characteristics of Arcobacter butzleri in groundwater microcosms

SURVIVAL AND RECOVERY CHARACTERISTICS OF ARCOBACTER BUTZLERI IN GROUNDWATER MICROCOSMS Robert Darrell McElwain The genus Arcobacter is considered by many public health officials as an etiological agent of gastroenteritis in individuals consuming contaminated food or water. However, relatively little is known about the persistence, detection, and ecology of this genus, particularly in groundwater. In laboratory microcosm studies it was determined that the survival of A. butzleri in nutrient-limited groundwater can exceed that of the traditional water quality indicator organism, Escherichia coli. An inverse relationship between survival and water temperature was observed for both organisms, but the persistence of A. butzleri exceeded that of E. coli at 5, 15, and 25°C. Selective media for the isolation of Arcobacter spp. , while sensitive enough to recover stressed A. butzleri cells, proved ineffective at selectively reducing background flora for quantification. At best, only a 10-fold reduction in indigenous microflora was observed with antibiotic-containing selective media. Efforts were made to detect A. butzleri from raw sewage, poultry fecal matter, and poultry waterers comparing molecular methods and conventional plating on selective media. Cultural methods using selective plating media proved inferior to molecular methods. Molecular detection, though effective, also had limitations. Selective enrichment followed by nucleic acid purification may prove to be an important step in increasing sensitivity and reducing detection limits.
Hiroshima Math. J. 35 (2005), 47–92

It is known that the incompressible spanning surfaces for a fibred knot are unique. Also for a 2-bridge knot its incompressible spanning surfaces were classified by Hatcher and Thurston. In this paper we shall give the classification of the incompressible spanning surfaces for prime knots of 10 or less crossings, which include many non-fibred and non-2-bridge knots. Furthermore, we determine the associated simplicial complex ISðKÞ for each prime knot K of 10 or less crossings, which describes the relations between equivalence classes of incompressible spanning surfaces for K .
Partly Uncoupled Siamese Model for Change Detection from Heterogeneous Remote Sensing Imagery

This paper addresses the problematic of detecting changes in bitemporal heterogeneous remote sensing image pairs. In different disciplines, multimodality is the key solution for performance enhancement in a collaborative sensing context. Particularly, in remote sensing imagery there is still a research gap to fill with the multiplication of sensors, along with data sharing capabilities, and multitemporal data availability. This study is aiming to explore the multimodality in a multi-temporal set-up for a better understanding of the collaborative sensor wide information completion; we propose a pairwise learning approach consisting on a pseudo-Siamese network architecture based on two partly uncoupled parallel network streams. Each stream represents itself a Convolutional Neural Network (CNN) that encodes the input patches. The overall Change Detector (CD) model includes a fusion stage that concatenates the two encodings in a single multimodal feature representation which is then reduced to a lower dimension using fully connected layers and finally a loss function based on the binary cross entropy is used as a decision layer. The proposed pseudo-Siamese pairwise learning architecture allows to the CD model to capture the spatial and the temporal dependencies between multimodal input image pairs. The model processes the two multimodal input patches at one-time under different spatial resolutions. The evaluation performances on different real multimodal datasets reflecting a mixture of CD conditions with different spatial resolutions, confirm the effectiveness of the proposed CD architecture.
Development of Improved Catfish Germplasm at the Warmwater Aquaculture Research Unit, DSDA-ARS

Farm-raised catfish is the largest aquaculture enterprise in the U.S. in terms of both production volume and value. The USDA-ARS Warmwater Aquaculture Research Unit (WARU) mission includes development and release to farmers of catfish germplasm improved for economically important traits. Historically, the channel catfish (Ictalurus punctatus) comprised nearly all U.S. farm-raised catfish production, but in the last 10 years, production of the F1 hybrid between the channel catfish and blue catfish (Ictalurus furcatus) has increased to about 50% of total production. Therefore, the WARU breeding program is focused on genetic improvement of purebred channel catfish and F1 hybrid catfish performance. The channel catfish improvement program has used selection on BLUP breeding value estimates to improve growth rate and carcass yield. We started with a diverse population of channel catfish derived from 10 commercial farms in 2006 and have evaluated over 21,000 animals from 750 full-sib families produced by 408 sires and 624 dams between 2008 and 2015. Heritabilities for harvest weight and residual carcass weight are 0.29 and 0.36, respectively, and fish are selected based on an index that puts equal weight on individual breeding values for growth and family average breeding values for residual carcass weight. Improvements in growth have been 8 10% per generation and are in agreement with expected improvements. Increases in residual carcass weight have been less substantial (-2 g per generation) than those for harvest weight due, at least in part, to the necessity for selection on less accurate family average breeding values for carcass weight. The hybrid catfish improvement program has focused on evaluation, identification and selection of blue catfish sires that produce superior performing hybrid progeny. We initiated a program to collect several blue catfish populations and evaluate performance of their purebred and hybrid progeny. Initial evaluations suggest the majority of genetic variance for growth in hybrid progeny is additive in nature, and populations and individual sires that produce purebred blue catfish progeny with faster growth also produce hybrid progeny with faster growth. We have ongoing experiments to estimate heritabilities and genetic correlations in the purebred blue and hybrid catfish, which will give us direction in selecting purebred blue catfish for improved hybrid catfish performance. We use DNA markers to identify parentage and establish pedigrees in our populations and are developing a SNP chip to be used for genomic selection to improve our breeding value accuracy and rate of improvement, particularly for carcass yield. We are evaluating other traits for inclusion in our selection index, and are collecting and cryopreserving sperm from superior channel and blue catfish sires for future use. This combination of traditional animal breeding, genomic selection and cryopreservation will result in improved catfish germplasm, improved production efficiency and greater profitability for catfish farmers.
Summer Start: Supporting Success for Conditionally Admitted Students in a Summer Bridge Program

Summer bridge programs on college campuses vary in terms of focus, activities, and the students they serve. Common goals include enhancing enrollment and diversity, and improving retention rates and timely graduation through better preparation of the admitted class. In 2016, Purdue University piloted “Summer Start,” a credit-bearing, five-week program for conditionally admitted students that includes enhanced support services. These students did not qualify for the traditional fall admission because their profiles included at-risk characteristics (such as low high school GPA or low standardized test score), so they were admitted on the condition that they attended Summer Start. To gauge the impact of Summer Start, we compared the conditionally admitted students to a nearly comparable at-risk group of new beginner students who started in the fall semester. While the first-semester performance of these conditionally admitted students was slightly below that of the near-comparison group, as would be expected, their overall performance was better than predicted based on their entry characteristics. The inaugural Summer Start showed that conditionally admitted students can thrive at Purdue with the extra support provided by the program. Additionally, the popularity of the program’s benefits (a jump start on courses, moving in early, getting comfortable with campus before thousands of others come, being in a learning community, etc.), combined with campus interest in reducing stress on fall courses, led us to add an opt-in for fall admits for the second summer of Summer Start.