Miracle-dz/UniFAR-FTUs huggingface dataset:
Photoinhibition and photosynthetic pigment reorganisation dynamics in light/darkness cycles as photoprotective mechanisms of Porphyra umbilicalis against damaging effects of UV radiation

Porphyra umbilicalis L. Kutzing collected from the upper intertidal zone at Helgoland, North Sea, was exposed to different spectral ranges of UV radiation under both 12/12 h light/dark cycles and continuous irradiation. In light/dark cycles, oscillations of the optimal quantum yield (F v /F m ) were observed during the experiments, reaching maximal values at the end of the light phase followed by lower values during the dark phase. Decreased F v /F m was observed in thalli illuminated with photosynthetic active radiation (PAR) plus UV-A and PAR+UV-A+UV-B, compared with the PAR control, indicating a certain degree of UV-induced photoinhibition. In addition, a decrease in the percentage of change of the linear initial slope and maximum electron transport rate (ETR) estimated from ETR vs. irradiance curves was induced by UV radiation during the light phase. Recovery during the 12 h dark phase was almost completed in UV-A treated plants. PAR+UV-A seemed not to affect the photosynthesis, measured as O 2 production. However, a decrease in O 2 production was observed in the PAR+UV-A+UV-B treatment, but it recovered to initial values after 48 h of culture. No changes in total content of photosynthetic pigments were observed. However, thallus absorptance and the in vivo absorption cross-section in the PAR range (400-700 nm) normalised to Chl a (a* parameter) fluctuated during light/dark cycles and were positively correlated with changes in the optimum quantum yield, thus indicating that daily pigment reorganisation in the light-harvesting complex may play a key role in the photosynthetic performance of the algae. Both UV-A and UV-B treatments under continuous irradiation induced a significant reduction in the optimal quantum yield, ETR efficiency and photosynthetic oxygen production during the first 36 h to values around 30% of the initial ones. Thus, different protective mechanisms against UV stress can be observed in P. umbilicalis : dynamic photoinhibition when UVA is combined with PAR, followed by full recovery of photosynthesis during the dark phase, and a more pronounced photoinhibition under UV-B, with only partial recovery after longer time periods, in which photosynthetic pigment reorganisation plays an important role.
Development and Reproduction of Propylaea japonica (Coleoptera: Coccinellidae) Raised on Aphis gossypii (Homoptera: Aphididae) Fed Transgenic Cotton

A laboratory experiment was designed to evaluate the effects of transgenic cotton containing Bacillus thuringiensis (Berliner) Cry1Ac toxin on the survival, development, and fecundity of a predatory ladybeetle, Propylaea japonica (Thunberg), through a food chain using cotton aphid, Aphis gossypii Glover as an herbivorous prey. No significant differences were observed in total survival from hatching to adult, or in larval and pupal durations of P. japonica supplied with aphids fed on either transgenic or non-transgenic cotton. Similarly, no significant differences in longevity, reproduction, weight, or fatty acid contents of adult beetles were detected. Our results suggest that this type of transgenic cotton might have little effect on the survival, development, and fecundity of P. japonica through this food chain.
Effect of Heat Moisture Treatment Using Different Solvents and Incubation Times on Resistant Starch Formation of Rice Flour

The thermal and pasting properties and Resistant Starch (RS) formation of high amylose rice flour were investigated at 121Â°C using different solvents and storage times. The samples treated with water and lactic acid 10 mmol/L with storage times 0, 24, 48 and 72 h had the highest degree of gelatinization, ranging from 98.64 to 99.86%. The samples treated with ethanol and lactic acid 10 mmol/L (in ethanol) had degrees of gelatinization varying between 58.25 and 59.91%. For the study on the thermal properties, the onset temperature (To), peak temperature (Tp), conclusion temperature (Tc) and enthalpy (âH) of resistant starch preparation (retrograded rice flour) using water and lactic acid 10 mmol/L were not observed, but those of heated flour using ethanol and lactic acid in ethanol (10 mmol/L) were detected. The endothermic peaks of the amylose-lipid complex and resistant starch were also observed at higher temperatures from the Differential Scanning Calorimeter (DSC), with no effect of treatments on To, Tp and Tc. Rice flour heated in water and then stored for 24 h showed a favorable effect on formation of RS at 10.80%. Significant reductions were observed in all Rapid Visco Analyzer (RVA) viscosities of the retrograded rice flours.
From Electrical Engineering and Computer Science to Fuzzy Languages and the Linguistic Approach of Meaning: The non-technical Episode: 1950-1975

In this paper we illuminate the first decade of Fuzzy Sets and Systems (FSS) where nobody thought that this theory would be successful in the field of applied sciences and technology. We show that especially Lotfi A. Zadeh, the founder of the theory of FSS, expected that his theory would have a role in the future of computer systems as well as humanities and social sciences. When Mamdani and Assilian picked up the idea of FSS and particularly Fuzzy Algorithms to establish a first Fuzzy Control system for a small steam engine, this was the Kick-off for the “Fuzzy-Boom” in Japan and later in the whole world and Zadeh’s primary intention trailed away for decades. Just in the new millennium a new movement for Fuzzy Sets in Social Sciences and Humanities was launched and, hopefully, will persist!
Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers

Several classic problems in graph processing and computational geometry are solved via incremental algorithms, which split computation into a series of small tasks acting on shared state, which gets updated progressively. While the sequential variant of such algorithms usually specifies a fixed (but sometimes random) order in which the tasks should be performed, a standard approach to parallelizing such algorithms is to relax this constraint to allow for out-of-order parallel execution. This is the case for parallel implementations of Dijkstra's single-source shortest-paths (SSSP) algorithm, and for parallel Delaunay mesh triangulation. While many software frameworks parallelize incremental computation in this way, it is still not well understood whether this relaxed ordering approach can still provide any complexity guarantees. In this paper, we address this problem, and analyze the efficiency guarantees provided by a range of incremental algorithms when parallelized via relaxed schedulers. We show that, for algorithms such as Delaunay mesh triangulation and sorting by insertion, schedulers with a maximum relaxation factor of k in terms of the maximum priority inversion allowed will introduce a maximum amount of wasted work of O(łog n poly(k)), where n is the number of tasks to be executed. For SSSP, we show that the additional work is O(poly(k), dmax / wmin), where dmax is the maximum distance between two nodes, and wmin is the minimum such distance. In practical settings where n >> k, this suggests that the overheads of relaxation will be outweighed by the improved scalability of the relaxed scheduler. On the negative side, we provide lower bounds showing that certain algorithms will inherently incur a non-trivial amount of wasted work due to scheduler relaxation, even for relatively benign relaxed schedulers.
Empowering video players in cellular: throughput prediction from radio network measurements

Today's HTTP adaptive streaming applications are designed to provide high levels of Quality of Experience (QoE) across a wide range of network conditions. The adaptation logic in these applications typically needs an estimate of the future network bandwidth for quality decisions. This estimation, however, is challenging in cellular networks because of the inherent variability of bandwidth and latency due to factors like signal fading, variable load, and user mobility. In this paper, we exploit machine learning (ML) techniques on a range of radio channel metrics and throughput measurements from a commercial cellular network to improve the estimation accuracy and hence, streaming quality. We propose a novel summarization approach for input raw data samples. This approach reduces the 90th percentile of absolute prediction error from 54% to 13%. We evaluate our prediction engine in a trace-driven controlled lab environment using a popular Android video player (ExoPlayer) running on a stock mobile device and also validate it in the commercial cellular network. Our results show that the three tested adaptation algorithms register improvement across all QoE metrics when using prediction, with stall reduction up to 85% and bitrate switching reduction up to 40%, while maintaining or improving video quality. Finally, prediction improves the video QoE score by up to 33%.
The Case for Split Unaccusativity Hypothesis

The purpose of this paper is to review the previous treatments of English unaccusative verbs in English syntactic theories and to propose a new hypothesis, in which the conventional unaccusatives should be split into unaccusatives proper (i.e., unaccusatives) and unaccusative hybrids (i.e., ergatives). To make a case for the split unaccusativity hypothesis, ergatives are redefined in terms of four syntactic and semantic properties, and supporting evidence from the areas of syntax, lexical semantics, and psycholinguistics is presented. The projected theoretical relevance is that the separate treatment of unaccusatives and ergatives will help to resolve some issues in the puzzle of unaccusatives and mismatches, as well as contribute to highlighting the interface between syntax and semantics in explaining linguistic phenomena.
The Arm Triple Core Lock-Step (TCLS) Processor

The Arm Triple Core Lock-Step (TCLS) architecture is the natural evolution of Arm Cortex-R Dual Core Lock-Step (DCLS) processors to increase dependability, predictability, and availability in safety-critical and ultra-reliable applications. TCLS is simple, scalable, and easy to deploy in applications where Arm DCLS processors are widely used (e.g., automotive), as well as in new sectors where the presence of Arm technology is incipient (e.g., enterprise) or almost non-existent (e.g., space). Specifically in space, COTS Arm processors provide optimal power-to-performance, extensibility, evolvability, software availability, and ease of use, especially in comparison with the decades old rad-hard computing solutions that are still in use. This article discusses the fundamentals of an Arm Cortex-R5 based TCLS processor, providing key functioning and implementation details. The article shows that the TCLS architecture keeps the use of rad-hard technology to a minimum, namely, using rad-hard by design standard cell libraries only to protect the critical parts that account for less than 4% of the entire TCLS solution. Moreover, when exposure to radiation is relatively low, such as in terrestrial applications or even satellites operating in Low Earth Orbits (LEO), the system could be implemented entirely using commercial cell libraries, relying on the radiation mitigation methods implemented on the TCLS to cope with sporadic soft errors in its critical parts. The TCLS solution allows thus to significantly reduce chip manufacturing costs and keep pace with advances in low power consumption and high density integration by leveraging commercial semiconductor processes, while matching the reliability levels and improving availability that can be achieved using extremely expensive rad-hard semiconductor processes. Finally, the article describes a TRL4 proof-of-concept TCLS-based System-on-Chip (SoC) that has been prototyped and tested to power the computer on-board an Airbus Defence and Space telecom satellite. When compared to the currently used processor solution by Airbus, the TCLS-based SoC results in a more than 5× performance increase and cuts power consumption by more than half.
Developments in Business Simulation & Experiential Exercises , Volume 8 , 1981 113 PARTICIPANT TYPE DIFFERENCES IN RESPONSE TO EXPERIENTIAL METHODS : AN INFORMAL LOOK

Experiential techniques were employed and evaluated in two non-degree granting university operations: a continuing education program and a management development project. Existence of sufficient structural similarities in both of these undertakings permitted a reasonable contrast and comparison of the operational results achieved. Based on this inquiry it would appear that the setting might well be a significant determinant of the effectiveness and efficiency of the use of experiential techniques in ancillary instructional situations. Further, the study suggests the potential need for companion sets of contingency operating instructions to accompany experiential exercises.
Relationship between Earnings Quality and External Audit Quality

During the recent years, the accounting scandals have multiplied (Enron, World com, Xerox,.). Several factors have contributed to these scandals. Among these factors we find the quality of audit. This paper examines the impact of audit quality on earning quality. Audit quality is measured by financial statements audited by the Big 4 accounting firms. Earning quality is measured by the investors' ability to predict future earnings for profitable and unprofitable firms. We use a sample of around 4,417 firm-year observations in the U.K. market for the period 1996-2002. We document evidence that investors are able to better anticipate future earnings when financial statements are audited by the big four accounting firms. However, the findings are not applicable for unprofitable firms.
Social influence effects on remote group interactions

This paper discusses the results of an experiment exploring the effects of information technology intervention on decision making groups. Specifically, the study examines the effects communication modality {remote vs. face-to-face) and information load on the types of social influence used by group members and the amount of group polarization or choice shift exhibited by group members. The findings suggest that face-to-face groups use more informational influ­ ence than remote groups and that this difference increases as information load increases. Also, face-to-face groups experienced greater choice shift than remote groups at high information loads.
A concise method for modeling profiles using semantic approach

The web is a huge collection of unstructured data, where a large amount of data is added each and every day from multiple sources in various forms. We are actually drowning in information and starving for knowledge. The present day web (web 2.0) helps us to fetch any type of information what we wanted. But most of the information is irrelevant to the user’s perspective. The user has to refine, extract knowledge from the obtained bulk of information. Hence web is not smart enough to fetch the exact information for the user. To make the web smarter, efficient and effective, semantics have been introduced to the web, which can fetch the exact information what a user wanted. To achieve smartness in web 3.0 few components like XML, RDF, Ontology, and Owl are used. One of the most important challenges faced by the web developers is personalizing a social web, it means extracting data from different sources of information. Ontology based representations are used to obtain relevant information to create meaningful relations among those data. The main aim of this paper is to generate profiles for a person, from a scientific point of view. The generated profile shows all the research made by the person, and with whom he has done the research and the time period to complete research. This model is based on FOAF (Friend of a Friend) model. The generated profiles are made for a small community which belongs to the computer science domain. The information present in the profile consists of the research activity of the person and his / her area of interests and publi198 Senduru Srinivasulu and P. Sakthivel cations of that person. The publications can be added by the author to his profile with some access policies to restrict the access to the full document. Some information's based on scientific performance extract from digital libraries, for example DBLP and ACM digital libraries. This paper demonstrates a user friendly graphical interface which allows the client to perform their actions. On one hand the client enters the name of the person and the server shows the FOAF profile of the name which is entered and it also highlights the attributes and collaborations of that person. On the other hand client can give a list of people and they can receive the articles which are common between them. The main impact of this approach has kept track of the research activities within us and also the relations and collaborations between people within their community. The paper must have abstract.
Bullying Hurts: A Survey on Non-Supervised Techniques for Cyber-bullying Detection

The contemporary period is scarred by the predominant place of social media in everyday life. Despite social media being a useful tool for communication and social gathering it also offers opportunities for harmful criminal activities. One of these activities is cyber-bullying enabled through the abuse and mistreatment of the internet as a means of bullying others virtually. As a way of minimising this occurrence, research into computer-based researched is carried out to detect cyber-bullying by the scientific research community. An extensive literature search shows that supervised learning techniques are the most commonly used methods for cyber-bullying detection. However, some non-supervised techniques and other approaches have proven to be effective towards cyber-bullying detection. This paper, therefore, surveys recent research on non-supervised techniques and offers some suggestions for future research in textual-based cyber-bullying detection including detecting roles, detecting emotional state, automated annotation and stylometric methods.
A Game-Level Analysis: How Does Trade Affect Team Performance in NBA?

Using game-level panel data on the National Basketball Association for 2015-2016 season, I examine the relationship between trade and team performance. In my study, trade is measured by a game-minute-adjusted salary dispersion. I construct a fixed effect model to analyze the effect of salary dispersion on team performance. The results show that salary dispersion is negatively related to team performance. To verify whether different team characteristics will affect this relationship, I categorize the teams into two groups twice based on their playoff likelihood and number of trades made. The results provide additional evidence that salary dispersion influence team performance negatively. The findings suggest that a compressed salary structures lead to more productivity in the NBA.
Modulation of monocyte/macrophage-derived cytokine and chemokine expression profile by persistent Hepatitis C virus (HCV) infection leads to chronic inflammation

with more than 170 million people infected worldwide. Chronicity and persistence of infection constitute the hallmark of the disease. Although HCV is a hepatotropic virus, subsets of immune cells have been found to be permissive to infection and viral replication. Peripheral blood monocytes, attracted to the site of infection and differentiated into macrophages, and resident hepatic macrophages, known as Kupffer cells, are important mediators of innate immunity, through production of several chemokines and cytokines in addition to their phagocytic activity. HCV proteins have been shown to modulate the cytokine and chemokine production profile of monocytes/macrophages, as it is suggested by both in vitro and clinical studies. This modified expression profile appears crucial for the establishment of aberrant inflammation that leads to liver cirrhosis and hepatocellular carcinoma. Review
Analysis of the Great Divergence under a Unified Endogenous Growth Model

Recently published research that attempts to explain the Great Divergence mainly focuses on geography, technological progress, and international trade. However, we do not believe these are its only - or even the most basic - causes. Instead, we submit that the 'social culture' of a country or a region is the most fundamental reason and incorporates these other causes, thereby providing a reasonable unified explanation. This paper is mainly based on a very simple two-sector benchmark model that simulates the economic characteristics of England and the Yangzi Delta of China during 1400-1850. It explores aspects of this transition period, and obtains many meaningful results that are consistent with Unified Growth theory, which is usually based on very complex models.
Yttria rich TBCs as candidates for CMAS resistant top coats

State of the art thermal barrier coatings (TBC) commonly made of 7-8 wt. % yttria stabilized zirconia (7YSZ) are used in modern gas turbines to generate a thermal protection to the underlying super alloy components. TBCs allow higher operating temperatures for hot gas path components, thus, generating higher engine efficiency. The infiltration of molten glassy mineral deposits composed of CaO-MgO-Al2O3-SiO2 (CMAS) represents one of the major threats in reducing performance and service life in aero and land based gas turbine engines. The CMAS deposits are ingested into the engine carried commonly in sand, runways debris, fly ash and volcanic ash. The ingested particles melt on the engine’s hot gas path components infiltrating the porous TBC, this infiltration generates detrimental effects on the coating such as microstructural degradation and strain tolerance reduction. The present work studied in detail the CMAS infiltration resistance of EB-PVD –yttria (Y2O3) coatings which can be used as a top coat on standard 7YSZ TBC layer. Studies were made with Y2O3 rich ZrO2 coatings with an yttria content ranging in 65 wt. % (rest is zirconia). CMAS infiltration experiments were performed at 1250 oC -at time intervals from 1 to 20 hours for long term infiltration and 5 minutes for rapid infiltration using real volcanic ash and a model CMAS source for results comparison. The results show that the studied yttria coatings induced the crystallization of the CMAS melt by forming stable oxyapatite and garnet phases. These layers exhibit a minimal growth making yttria rich coatings promising candidates for CMAS resistant multilayer TBCs. The results also proved a dependency of coating microstructure for infiltration resistance suggesting that the infiltration resistance can be further improved by refining the TBC microstructure by maintaining a densified morphology.
Power Analysis of Low Power Virtex 6 FPGA based Communication FloSwitch Design

Flosolver designed and developed Mk 8 parallel super computer with computing power of 10 TFLOPS. Mk8 used 1024 processor as processing elements (PE’s). Communication device called FloSwitch used for Data transfer across the processing elements [1]. Communication speed, power utilization and flexibility in the interconnectivity have always scope of improvement. In this report Power section has been addressed to improve further by bringing down the total power in the FloSwitch design. Theoretical analysis has been done to reduce FloSwitch power as a whole. Major change in the design is to replace external DPM with internal memory of FPGA (BLOCK RAM). Power analysis has been done on low power Virtex 6 FPGA and Virtex 5 FPGA using Xilinx power estimator (XPE) and power calculation for the entire board. FPGA’s power utilization has been analyzed in detail and overall board power calculations have been done. Comparative analysis results give the considerable power reduction for the new design.