Miracle-dz/UniFAR-FTUs huggingface dataset:
Reacting to YouTube Videos : Exploring Differences Among User Groups

Thanks to YouTube and other video sharing websites, over a short period of time millions of ordinary people have become regular viewers and creators of user-generat ed online videos. In this paper we explore how users r act to these videos and differences among user groups. Our exploratory study of 60 YouTube users found that wo men and men, community members and non-members, and lurkers and posters differed in their reactions to usergenerated online videos, and that the user interfac may also influence user reaction. Findings suggest the design of online video technology and content should consider th socio-cultural contexts of online video use, and th ey highlight the challenges of developing inclusive technologies to meet all users' needs.
Self-thinning of leaf , wood and aboveground in overcrowded mangrove Bruguiera gymnorrhiza stands in Okinawa Island , Japan

The allometric relationships of mean tree height     w g H   and of organ mass density       w s w g H s / w d       ) 1/ ( where , to mean organ mass w were studied in Bruguiera gymnorrhiza stands. According to Weller’s allometric model, the self-thinning exponent α was estimated to be 1.11 in leaf, 1.55 in wood and 1.47 in aboveground. The self-thinning exponent α in leaf was not significantly different from 1.0, which showed that the stand leaf biomass was constant regardless of the population density ρ. The α was not significantly different from 3/2 in wood and aboveground, which concluded that the 3/2 power law of self-thinning holds in overcrowded B. gymnorrhiza stands. © 2011 Published by Elsevier Ltd.
Applying Public Auditability for Securing Cloud Data from Modification Attack

Cloud Computing has been proposed as the nextgeneration architecture of IT Enterprise. It moves the application software and databases to the integrated large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work studies the problem of ensuring the integrity of data storage in Cloud Computing. In particular, we consider the task of allowing a third party auditor (TPA), on behalf of the cloud client, to verify the integrity of the dynamic data stored in the cloud. The introduction of TPA eliminates the involvement of the client through the auditing of whether his data stored in the cloud is indeed intact, which can be important in achieving economies of scale for Cloud Computing. The support for data dynamics via the most general forms of data operation, such as block modification, insertion and deletion, is also a significant step toward practicality, since services in Cloud Computing are not limited to archive or backup data only. While prior works on ensuring remote data integrity often lacks the support of either public auditability or dynamic data operations, this paper achieves both. We first identify the difficulties and potential security problems of direct extensions with fully dynamic data updates from prior works and then show how to construct an elegant verification scheme for the seamless integration of these two salient features in our protocol design. In particular, to achieve efficient data dynamics, we improve the existing proof of storage models by manipulating the classic Merkle Hash Tree construction for block tag authentication. To support efficient handling of multiple auditing tasks, we further explore the technique of bilinear aggregate signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis show that the proposed schemes are highly efficient and provably secure.
Synthesis , characterization , purity verification , antiplasmodial activity and toxicity against Artemia salina Leach of salicylhydrazones and p-tosylhydrazones from S-( + )-carvone and

Hydazones are molecules that inhibit the developmen t of several microbes and parasites. They are known for their pharmacological activities: antimicrobial, antivira l, antitumor, antimalarial, Anticonvulsant. In this research, we synthesized with good yields(57-91%), substituted h y azones of 4'-methylacetophenone, 2-acetonaphthone , 7methoxy-1-tetralone andS (+)-carvone that formed tw o series: the series of salicylhydrazones( 1a4a) and the series of p-tosylhydrazones of ( 1b-4b). Then we checked purity of molecules by elemental and HPLC analysis. Spectrometric analyzes methods such as HRMS, HNMR and C were used to confirm their structures. Their antiparasitic properties were evaluated on Plasmodi um falciparum and the toxicity against Artemia sali n Leach. Molecules of salicylhydrazones series presented mod erate activity with good selectivity (7 ≤ SI ≤ 14). All compounds were found non-toxic to the larvae except 1a, 3b and 4b. In view of the observed activities and those alre ady known, hydrazones could be a promising approach to the tre atm nt of malaria.
Semantic Part RCNN for Real-World Pedestrian Detection

Recent advances in pedestrian detection, a fundamental problem in computer vision, have been attained by transferring the learned features of convolutional neural networks (CNN) to pedestrians. However, existing methods often show a significant drop in performance when heavy occlusion and deformation happen because most methods rely on holistic modeling. Unlike most previous deep models that directly learn a holistic detector, we introduce the semantic part information for learning the pedestrian detector. Rather than defining semantic parts manually, we detect key points of each pedestrian proposal and then extract six semantic parts according to the predicted key points, e.g., head, upper-body, left/right arms and legs. Then, we crop and resize the semantic parts and pad them with the original proposal images. The padded images containing semantic part information are passed through CNN for further classification. Extensive experiments demonstrate the effectiveness of adding semantic part information, which achieves superior performance on the Caltech benchmark dataset.
Next Item Recommendation with Self-Attentive Metric Learning

In this paper, we propose a novel sequence-aware recommendation model. Our model utilizes self-attention mechanism to infer the item-item relationship from user’s historical interactions. With self-attention, it is able to estimate the relative weights of each item in user interaction trajectories to learn better representations for user’s transient interests. The model is finally trained in a metric learning framework, taking both local and global user intentions into consideration. Experiments on a wide range of datasets on different domains demonstrate that our approach outperforms the state-of-theart by a wide margin.
Phytochemical determination of Solanum lycopersicum L. fruits irrigated with water treated with static magnetic field

The phytochemical compounds of Solanum lycopersicum L. fruits from irrigated plants under the action of water treated with a static magnetic field (SMF), between 20 and 200 mT were determined. Two experimental groups with 25 plants each were used. The control group received irrigation with untreated water and the other group was irrigated with water treated with SMF. The ripe fruits were harvested and aqueous and ethanolic extracts were prepared. These extracts were subjected to phytochemical screening. The aqueous extracts prepared from the irrigated fruits of the group with SMF showed qualitatively a marked presence of carotenoids, phenols, tannins, carbohydrates and flavonoids. These results showed that the SMF used favors the greater extraction of these metabolites which have a high nutritional value and antioxidant potential, which contributes to the pharmacological properties of the fruits of S. lycopersicum L.
SOME ASPECTS OF MINERAL NUTRITION AND FLOWERING WITH A SUMMARY

I. General introduction • • • 2 II. Review of literature 2 1. General effects of mineral nutrition on flowering 3 2. Effect of specific elements on flowering 3 2.1. Nitrogen 3 2.2. Potassium 5 2.3. Phosphorus 5 2.4. Calcium 6 2.5. Sulphur 6 III. General remarks on the experiments 7 IV. Effect of mineral déficiences on the flowering responses and the growth of long and short-day plants 8 1. Mustard (Sinapis alba; L.D.P.) 8 1.1. Experiment I: In water culture 8 1.2. Experiment II : In vermiculite 11 1.3. Discussion 15 2. Dill (Anethum graveolens; L.D.P.) Experiment III : 15 3. Perilla crispa (S.D.P.) Experiment IV: 17 V. Effect of several nitrogen levels on the flowering responses and the growth of long and short-day plants 20
Changes in 16 S rRNA bacterial community structures after C and N additions – comparison of organic farmed and conventionally farmed soils

The use of legumes has received heightened interest as an alternative to chemical fertilizers in recent years. It adds not only nitrogen (N) but also carbon (C) to soils thus it might influence the soil microbial community structures. Considering that microorganisms play a key role in N dynamics, it is important to understand the relationship between the soil microbial structure and soil N dynamics, in relation to the use of legumes. Thus, we aimed to evaluate the relationship between the long-term legume application and soil microbial community structures. Also we aimed to investigate the relationship between the microbial communities and the soils’ N immobilization potential, because N immobilization by microbes often competes with plants in terms of N availability in soils. We compared a soil with the history of the use of green manure (hairy vetch, HV) and a soil with the history of the use of N chemical fertilizer (CF). First, we investigated the microbial communities using a colony counting method and a 16S rRNA gene analysis. Then we conducted an incubation experiment where we added C and N source into soils and measured N immobilization potentials. Bacterial community structures were analyzed to investigate the interaction between N immobilization potentials and bacterial community structures. Our results showed that there was a significant difference in microbial community structures for the two soils before the addition of C and N. However, no significant difference was detected on N immobilization potential during the incubation. Moreover, the difference between the bacterial community structures in the two soils became smaller as the incubation progressed, within 14 days. According to these results, it is indicated that microbial community structures were clearly influenced by the use of hairy vetch but with added C and N, the community structure differences due to the use of hairy vetch might disappear.
Effect of different levels of farmyard manure , mineral fertilization and potassium humate on growth and productivity of garlic

This study was conducted on garlic cv. Sids-40 in Basandela Village, Dakahlia Governorate, Egypt during the two growing seasons of 2011/2012 and 2012/2013. Three levels of farmyard manure (0, 20 and 30 m/fed.) in combination with three NPK mineral fertilizer rates (50, 75 and 100 % of recommended dose) and three potassium humate levels(0, 2 and 4 kg/fed.) were evaluated to study their effect on growth, yield and chemical constituents in cloves. The obtained results showed that all individual treatments of farmyard manure levels or different NPK fertilizer rates or potassium humate levels significantly affected all studied characters. Also, the different dual and triple interactions gave significant differences. Farmyard manure (30 m/fed.), 50 % from recommended dose of NPK-fertilizers and potassium humate at 4 kg/fed. led to significant increases in all studied criteria, compared to check or other treatments. It can be concluded that fertilizing garlic plant cv. Sids-40 with (30 m/fed) farmyard manure, 50 NPK and 4 kg/fed potassium humate was effective for achieving high yield and best quality as well as decreasing the harmful effect of chemical fertilizers on environment and human health.
THE INFLUENCES OF DIFFERING DEGREES OF CLOSURE DURING INTEGRAL AND FOCUSED ATTENTION TASKS USING OBJECT DISPLAYS

THE INFLUENCES OF DIFFERING DEGREES OF CLOSURE DURING INTEGRAL AND FOCUSED ATTENTION TASKS USING OBJECT DISPLAYS Stacy Ann Canaras, M.A. University of Dayton, 1996 Major Professor: Greg C. Elvers, Ph.D. The present study serves as a follow-up to a thesis conducted by Jeffrey Schmidt of the University of Dayton. Schmidt (1992) proposed that using an object display formed by the Gestalt Law of Closure would provide a dual benefit over a normal object, and bar graph display. The results only partially supported this hypothesis. One possible explanation for the result had to do with the size of the space between the triangle vertices in the closure display. Therefore, this study attempted to answer whether there is an optimum amount of space between the triangle vertices that would increase focused attention performance, while still maintaining the subjective contour for integral task performance. Two variables were manipulated to decide the best format for presenting different types of information on an object display. One variable was display type (bar, object, 16% closure, 33% closure, and 66% closure) which was manipulated between participants. Task type, integral or focused attention tasks, was manipulated within participants. The 33% closure, the bar graph, and the object display served as controls that were used in Schmidt’s study. Percentage correct (strict and lenient), absolute error and reaction time measures all served as the dependent variables in this study. Planned comparisons and Analysis of Variance analyses were conducted on the data. The results did not support the dual benefit hypothesis of the closure display, as presented in Schmidt (1992).
Effects of electromagnetic fields produced by high voltage transmission on physiology of Juglans regia L . and Cerasus avium L

e studied the hormone contents of Juglans regia L. (walnut) and Cerasus avium L. Moench (cherry) exposed to electromagnetic fields of high voltage transmission line and the effects of the exposure on the physiology of plants. While an increase was observed in abscisic acid (ABA) contents, decreases were observed in gibberellic acid (GA3) contents and in the chlorophyll a, b quantities of these plants, compared to the control groups. The indole-3-acetic acid (IAA) content exhibited a species specific property with an increase in Juglans regia and a decrease in Cerasus avium plants. According to physiological effects, high voltage had negative effects to the growth and development of the plants and their leaf thickness and leaf mesophyll show modifications as densely packed mesophyll in leaf anatomies of plants. Oil cell increases were observed only in the anatomical cross sections of leaves of Cerasus avium L. Moench.
Fair TCP Channel Access for IEEE 802 . 11 WLANs by

TCP exhibits unfairness in IEEE 802.11 WLANs due to the high rate of channel errors, frame collisions, and delays associated with wireless transmission. While much existing work has focused on improving TCP throughput in the presence of random data loss and delays, it has not completely addressed the problems that occur when TCP segments are involved in collisions. For example, when TCP acknowledgments (ACKs) collide with data segments, the data almost always survives due to the packet capture effect, while the ACKs cannot be decoded. Excess ACK errors can create unintended behavior in TCP congestion control algorithms, leading to slow data rates and unequal throughput distribution across parallel connections. Fair TCP Channel Access (FTCA) is a comprehensive MAC-layer solution developed to fix these issues. FTCA prioritizes TCP control packets at the MAC layer using quality-of-service mechanisms in the 802.11 standard. It reduces TCP ACK delays and prevents collisions between TCP control packets and data segments that could cause improper protocol operation. FTCA is designed to be easily deployable in existing networks. Using NS-3 network simulations, we perform a thorough comparison of FTCA against other algorithms in capture-enabled WLANs. We show that FTCA significantly improves TCP fairness with minimal throughput overhead.
Functional Analysis of the Ribosomal uL6 Protein of Saccharomyces cerevisiae

The genome-wide duplication event observed in eukaryotes represents an interesting biological phenomenon, extending the biological capacity of the genome at the expense of the same genetic material. For example, most ribosomal proteins in Saccharomyces cerevisiae are encoded by a pair of paralogous genes. It is thought that gene duplication may contribute to heterogeneity of the translational machinery; however, the exact biological function of this event has not been clarified. In this study, we have investigated the functional impact of one of the duplicated ribosomal proteins, uL6, on the translational apparatus together with its consequences for aging of yeast cells. Our data show that uL6 is not required for cell survival, although lack of this protein decreases the rate of growth and inhibits budding. The uL6 protein is critical for the efficient assembly of the ribosome 60S subunit, and the two uL6 isoforms most likely serve the same function, playing an important role in the adaptation of translational machinery performance to the metabolic needs of the cell. The deletion of a single uL6 gene significantly extends the lifespan but only in cells with a high metabolic rate. We conclude that the maintenance of two copies of the uL6 gene enables the cell to cope with the high demands for effective ribosome synthesis.
Evaluation of ME predictions and the impact of feeding maize distillers dried grains with solubles with variable oil content on growth performance , carcass composition , and pork fat quality of growing-finishing pigs

A total of 432 pigs (initial BW: 25.8 ± 5.1 kg) were used to evaluate growth performance, carcass characteristics, and pork fat quality of growing-finishing pigs fed maize–soybean meal diets containing 40% distillers dried grains with solubles (DDGS) with variable ether extract (EE) content, but similar predicted ME concentration (3232 to 3315 kcal/kg predicted by a commercial service). Pigs were blocked by initial BW, and within blocks, pens were allotted randomly to 1 of 4 dietary treatments (9 pigs/pen, 12 replicates/treatment) in a 4-phase feeding program (26–50 kg, 50–75 kg, 75–100 kg, and 100–120 kg BW). Dietary treatments consisted of: (1) maize–soybean meal (CON); (2) 40% low-oil DDGS (59 g/kg EE; LOW); (3) 40% medium-oil DDGS (99 g/kg EE; MED); and (4) 40% high-oil DDGS (142 g/kg EE; HIGH). Diets contained similar concentrations of standardized ileal digestible amino acids and standardized total tract digestible P within each phase. Overall, ADFI of pigs fed CON was greater (P < 0.05) than those fed MED and HIGH, resulting in pigs fed CON having greater (P < 0.05) overall ADG than pigs fed LOW, MED, and HIGH diets. However, ADFI and ADG did not differ among DDGS treatments, but pigs fed LOW had reduced (P < 0.05) G:F compared with the other treatments. Pigs fed CON had greater (P < 0.05) HCW, carcass yield, and LM area than those fed the DDGS diets, but there were no differences among DDGS treatments. No treatment differences were observed for backfat depth and percentage of carcass fat-free lean. Back, belly, and jowl fat iodine value of pigs fed LOW and MED were less (P < 0.01) than in pigs fed HIGH but greater (P < 0.01) than in pigs fed CON. Based on the observed overall G:F responses, dietary ME content of LOW was less than MED, HIGH, and CON diets, indicating a slight overestimation of predicted ME concentration for the low-oil DDGS source using either the commercial service estimates or the Anderson et al. (2012) equations. Abbreviations: AA, amino acids; ADF, acid detergent fiber; ADFI, average daily feed intake; ADG, agverage daily gain; BF, backfat; BW, body weight; C18:2, linoleic acid; CP, crude protein; DDGS, maize distillers dried grains with solubles; DE, digestible energy; DM, dry matter; EE, ether extract; FFL, carcass fat-free lean; PUFA, polyunsaturated fatty acids; GF, gross energy; G:F, gain to feed; IV, iodine value; LMA, loin muscle area; ME, metabolizable energy; MUFA, monounsaturated fatty acids; NDF, neutral detergent fiber; SFA, saturated fatty acids; SID, standardized ileal digestible; STTD, standardized total tract digestible; TDF, total dietary fiber. ∗ Corresponding author at: University of Minnesota, 335d Animal Science/Veterinary Medicine Bldg. , 1988 Fitch Ave., St. Paul, MN 55108, USA. Fax: +1 612 625 1210. E-mail address: shurs001@umn.edu (G.C. Shurson). http://dx.doi. org/10.1016/j.anifeedsci. 2016.01. 013 0377-8401/© 2016 Elsevier B.V. All rights reserved.
The use of formic acid to control the parasitism of the introduced fly Philornis downsi on land birds nest of Galapagos : an experimental study

The introduced fly Philornis downsi is nowadays considered one of the principal threats to the survival of the land birds of Galapagos. The larvae of the fly feed on the blood and tissue of young nestlings, causing them malformations, malnutrition and death. Different control methods are being studied but preference must be given to methods that are friendlier with the environment. Formic acid is a substance naturally occurring in the Galapagos ecosystems that has been used in other parts of the world for pest management and organic meat production due to its antifungal, antibacterial, and irritant properties. A pilot study using McPhail traps indicated that a 50% formic acid solution has a significant repellent effect on P. downsi and other muscid flies, while direct application of the solution on finch nests showed a reduction of parasites inside them and the improvement of the health status of the nestlings that received the treatment. Further studies are recommended to determine if formic acid has also insecticides properties; however, this alternative method might be already used as a control tool to investigate other threats affecting land birds of Galapagos and thus influence conservation efforts.
Vehicle Re-Identification: Pushing the limits of re-identification

In this paper, we present a series of techniques which help push the limits of vehicle re-identification. First, we establish a strong baseline by using one of the best person re-identification models and applying them to vehicle reidentification. Secondly, we show improvements in four key components of re-identification: 1) detection, 2) tracking, 3) model, 4) loss function. Finally, our improvements lead to the state-of-the-art in the vehicle re-identification dataset VeRi-776, with 85.20 mean Average Precision (mAP) and 96.60% Rank-1 accuracy. This represents a +17.65 mAP and +6.37 Rank-1 improvement over the literature.