Miracle-dz/UniFAR-FTUs huggingface dataset:
Teleconnection between Cold ENSO Phases and Seasonal Rainfall Over Sri Lanka: Case Study in Kotmale Catchment

Cold ENSO phase or La-Nina is the least considered atmospheric oscillation in the hydro-meteorological sector in Sri Lanka. Therefore, this study focused on understanding teleconnection between cold ENSO phases and the seasonal rainfall over Kotmale catchment. Daily rainfall data of 9meteorological stations were used to investigate behaviour of annual rainfall climatologies of the catchment. Daily mean inflow data of Kotmale reservoir for the duration of 1984 - 2012 was analysed to understand the trends of the reservoir inflow. Sea surface temperature values were extracted from the Japan Meteorological Agency to determine cold ENSO phase. Rainfall trend for each station and inflow trend of the reservoir both declined throughout the selected time duration. However the rate of decreasing trend changes with each station. Seasonal rainfall of all the stations showed negative correlation with mean sea surface temperature over Nino 3 region for December to September. Cold ENSO phases encounter prominent above-average seasonal rainfall during and the onset of South-West monsoon. Further, onset and during of North-East monsoon rainfall over the catchment was weakened due to the impact of cold ENSO phase over Nino 3 region. However, further studies are suggested to identify hidden opposite phenomenon observed during cold ENSO phases on 1964 and 1967 in Kotmale catchment, where all the stations experienced worst below-average seasonal rainfall.
SRN : Stacked Regression Network for Real-time 3 D Hand Pose Estimation Supplementary Material

Some qualitative results for NYU [6], ICVL [5] and MSRA [4] datasets are shown in Fig. 1. specifically, in the last three columns, we show some error annotations in ICVL [5] and MSRA [4] datasets. On Hands17 [8], we chose some special cases, including low-quality images, extreme views and self-occlusion, to demonstrate the robustness of our method. As is shown in Fig. 2, for the complex cases, our method can still obtain accurate and reasonable pose, which indicates that our method can capture global constraints and correlations among different joint well.
EFFECTS OF AIR AND FUEL FLOW ON THE DYNAMIC PERFORMANCE FOR A TURBOSHAFT GAS TURBINE ENGINE PART I: MODELING AND SIMULATION

The dynamic performance of a turboshaft gas turbine engine is investigated in this paper. The air flows inlet to the engine and to the power turbine, are controlled by means of two guide vanes cascade. The displacement of the inlet guide vanes is controlled by means of two electrohydraulic servo actuators. The fuel flow rate is controlled by another electrohydraulic controller incorporating a series pressure compensated flow control valve. The equation describing the basic system subsystems and controllers were deduced and applied to develop a simulation program. The simulation program of the electrohydraulic servo controllers was validated experimentally. The engine dynamic performance is studied theoretically using the developed computer simulation program. Simulated results are shown for the transient response of the engine air and fuel flow control systems and its effect on the engine performance. The simulation results of engine air flow control show an agreement with the validated experimental results.
Mini Review Article

The tricarboxylic acid (TCA) cycle intermediate 2-oxoglutarate (2-OG) is used as an obligatory substrate in a range of oxidative reactions catalyzed by 2-OG-dependent dioxygenases.These enzymes are widespread in nature being involved in several important biochemical processes. We have recently demonstrated that tomato plants in which the TCA cycle enzyme 2-OG dehydrogenase (2-ODD) was antisense inhibited were characterized by early senescence and modified fruit ripening associated with differences in the levels of bioactive gibberellin (GA). Accordingly, there is now compelling evidence that theTCA cycle plays an important role in modulating the rate of flux from 2-OG to amino acid metabolism. Here we discuss recent advances in the biochemistry and molecular biology of 2-OG metabolism occurring in different biological systems indicating the importance of 2-OG and 2-OG dependent dioxygenases not only in glucosinolate, flavonoid and alkaloid metabolism but also in GA and amino acid metabolism. We additionally summarize recent findings regarding the impact of modification of 2-OG metabolism on biosynthetic pathways involving 2-ODDs.
A vegetation‐focused soil‐plant‐atmospheric continuum model to study hydrodynamic soil‐plant water relations

A novel simple soil‐plant‐atmospheric continuum model that emphasizes the vegetation's role in controlling water transfer (v‐SPAC) has been developed in this study. The v‐SPAC model aims to incorporate both plant and soil hydrological measurements into plant water transfer modeling. The model is different from previous SPAC models in which v‐SPAC uses (1) a dynamic plant resistance system in the form of a vulnerability curve that can be easily obtained from sap flow and stem xylem water potential time series and (2) a plant capacitance parameter to buffer the effects of transpiration on root water uptake. The unique representation of root resistance and capacitance allows the model to embrace SPAC hydraulic pathway from bulk soil, to soil‐root interface, to root xylem, and finally to stem xylem where the xylem water potential is measured. The v‐SPAC model was tested on a native tree species in Australia, Eucalyptus crenulata saplings, with controlled drought treatment. To further validate the robustness of the v‐SPAC model, it was compared against a soil‐focused SPAC model, LEACHM. The v‐SPAC model simulation results closely matched the observed sap flow and stem water potential time series, as well as the soil moisture variation of the experiment. The v‐SPAC model was found to be more accurate in predicting measured data than the LEACHM model, underscoring the importance of incorporating root resistance into SPAC models and the benefit of integrating plant measurements to constrain SPAC modeling.
Combined Uses of IP

The way in which different IP rights are combined depends on the firm, the industry in which it operates and the type of product or service it provides. While a high-tech firm may rely on a combination of patents, registered designs, trademarks and trade secrets, a web designer may have the option of choosing from copyright, trademark, and database protection, among others. Firms may also accumulate goodwill and build reputation for their product during the time the underlying patent is valid, after which they will reap benefits on the basis of the brand value and recognition thanks to trademark protection. Apple’s iPhone is a good example of such use.
Appendix – Natural continual learning

NCL learning rule As discussed in Section 2.2, we derive NCL as the solution of a trust region optimization problem. That is, we maximize the posterior loss Lk(θ) within a region of radius r centered around θ with a distance metric of the form d(θ,θ + δ) = √ δ>Λk−1δ/2. This distance metric was chosen to take into account the curvature of the prior via its precision matrix Λk−1 and encourage parameter updates that do not affect performance on previous tasks. Formally, we solve the optimization problem
HCI and sports

Sport is an area in which the number of available computing devices is growing rapidly. However, HCI has so far devoted rather little attention to the sports domain. This workshop aims to form a community around sports by gathering existing activity in the HCI domain, thus starting a discussion on what HCI can contribute to the sports domain, as well as what HCI can gain from studying sports.
PubSE : A Hierarchical Model for Publication Extraction from Academic Homepages — Supplementary Material

HTML document: We do not consider the HTML DOM tree structure because HTML tags vary significantly across different homepages. Learning the DOM tree structure of a publication string itself is a challenging task. Our initial investigation shows that, given our limited data, the DOM tree structure offers little help in the extraction task. Listing 1 shows an example of HTML source1 for a publications string. The corresponding rendered webpage is shown in Figure 1. In the HTML source, the text of a single publication string is split into multiple HTML DOM nodes. It is a nontrivial task to identify the text from these nodes that form the same publication string, especially for multi-line publication strings. The HTML font modifiers further complicate the task. For example, Listing 1 uses tag for emphasizing.
Reducing Leakage with Mixed-V_th (MVT)

We present a new method for assignment of devices with different V/sub th/ in a double-V/sub th/-process, whereas leakage is reduced and performance increases or is constant. A mixed-V/sub th/ gate type is developed, which renders new masks unnecessary. As compared with known methods, our approach achieves an additional leakage reduction of 25% while leakage reduction in raw designs is average 65%.
Evolutionary history, connectivity and habitat-use of annelids from deep-sea chemosynthesis-based ecosystems, with an emphasis on the Arctic mid-Ocean Ridge and the Nordic Seas

Ampharetid polychaetes adapted to live in chemosynthetic environments are well known from the deep Pacific and Atlantic Oceans, but to date no such species have been reported from the Arctic Ocean. Here, we describe two new species, Paramytha schanderi gen. et sp. nov. and Pavelius smileyi sp. nov., from the Arctic Loki’s Castle vent field on the Knipovich Ridge north–east of the island of Jan Mayen. The new species are both tube-builders, and are found in a sedimentary area at the NE flank of the vent field, characterized by low-temperature venting and barite chimneys. The new genus, Paramytha, is characterized by a prostomium without lobes or glandular ridges, smooth buccal tentacles, four pairs of cirriform branchiae arranged as 2þ1þ1 without median gap dorsally on segments II–IV, absence of chaetae (paleae) on segment II, and absence of modified segments. P. smileyi sp. nov. is placed in the previously monotypic genus Pavelius, primarily based on the presence of a rounded prostomium without lobes and four pairs of branchiae arranged in a single transverse row without median gap dorsally on segment III. Pavelius smileyi sp. nov. differs from the type species, Pavelius uschakovi, in the number of thoracic and abdominal chaetigers, and the absence of chaetae (paleae) on segment II. The phylogenetic position of the two new species from Loki’s Castle is further explored by use of molecular data. New sequences of mitochondrial (16S rDNA and cytochrome c oxidase subunit 1, COI) and nuclear (18S rDNA) markers have been produced for both species from Loki’s Castle, as well as for specimens identified as Paramytha sp. from Setùbal Canyon off Portugal, and for the following species: Pavelius uschakovi, Grassleia cf. hydrothermalis, Sosane wireni, Amphicteis ninonae and Samythella neglecta. Results from phylogenetic analysis, including 22 species and 12 genera of Ampharetidae, recovered Paramytha gen. nov. as monophyletic with maximum support, and a close relationship between the genera Pavelius and Grassleia which together form a well supported monophyletic clade. & 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Overview of the Celebrity Profiling Task at PAN 2019

Celebrity proﬁling is author proﬁling applied to celebrities. The focus on celebrities has several advantages: Celebrities are proliﬁc social media users supplying lots of writing samples, lots of personal details are public knowledge, and they try to build a consistent public persona either themselves or with the help of agents. In addition, a number of demographics apply only to this group of people. In this overview of the ﬁrst shared task on celebrity proﬁling at PAN 2019, we survey and evaluate eight submitted models that try to predict the gender, the year of birth, the fame, and the occupation of 48,335 English-speaking celebrities based on text obtained from their Twitter timelines. Anticipating some key results we can report that the models work well for predicting binary gender or for distinguishing the most famous celebrities from the less famous ones. Also the occupations sports, politics, and performer are easily identiﬁed. The models work less well for the prediction of rare demographics such as non-binary gender and occupations that are not single-topic (e.g., manager, science, and professional). Predicting the year of birth works best for the years between ca. 1980-2000 (i.e., ages ca. 20-40), but less well for older celebrities, and not at all for younger ones.
PIKM 2014: The 7th ACM Workshop for Ph.D. Students in Information and Knowledge Management

PIKM workshop offers to Ph.D. students the possibility to bring their work to an international and interdisciplinary research community, and create a network of young researchers to exchange and develop new and promising ideas. Similarly to the CIKM, PIKM workshop covers a wide range of topics in the areas of databases, information retrieval and knowledge management.
SPECIAL SECTION ON INNOVATION AND APPLICATION OF INTERNET OF THINGS AND EMERGING TECHNOLOGIES IN SMART SENSING

Mobile cloud computing has emerged as a promising paradigm to facilitate computationintensive and delay-sensitive mobile applications. Computation offloading services at the edge mobile cloud environment are provided by small-scale cloud infrastructures such as cloudlets. While offloading tasks to in-proximity cloudlets enjoys benefits of lower latency and smaller energy consumption, new issues related to the cloudlets are rising. For instance, unbalanced task distribution and huge load gaps among heterogeneous mobile cloudlets are becoming more challenging, concerning the network dynamics and distributed task offloading. In this paper, we propose ‘FairEdge’, a Fairness-oriented computation offloading scheme to enable balanced task distribution for mobile Edge cloudlet networks. By integrating the balls-andbins theory with fairness index, our solution promotes effective load balancing with limited information at low computation cost. The evaluation results from extensive simulations and experiments with real-world datasets show that, FairEdge outperforms conventional task offloading methods, and it can achieve a network fairness up to 0.85 and reduce the unbalanced task offload by 50%. INDEX TERMS Mobile cloudlets, load balancing, edge computing, fair task offloading.
Measuring impacts of certification on biodiversity at multiple scales: experience from the SAN/Rainforest Alliance system and priorities for the future

Voluntary certification standards (VCS) in agriculture and forestry typically include the protection of biodiversity among their objectives or requirements. This outcome is advanced through a range of mechanisms, from prohibitions on destroying certain types of natural ecosystems to requirements to conserve native species co-occurring in production systems to controls on negative externalities that can harm biodiversity, such as polluted runoff. Conservation results may be achieved at a range of scales—from smallholder farms to large landscapes—and as either direct or indirect consequences of implementing VCS. These myriad considerations point to the need for nuanced evaluation frameworks to understand effects on biodiversity across large certification portfolios while also evaluating the causality of VCS interventions on changes in biodiversity attributes. Here, we synthesize experience and perspectives from the VCS community to present a generalized assessment framework for understanding effects of VCS on biodiversity. We then use the example of the Sustainable Agriculture Network (SAN)/Rainforest Alliance certification system to illustrate the application of this framework to an agricultural standard covering about 3.5 million hectares and 1.2 million producers across 42 countries. The framework integrates evidence from multiple data sources, including basic attributes of certified operations, data on the adoption of biodiversityfriendly practices as revealed by annual audits, and research studies assessing biodiversity outcomes at farm and landscape level. Based on experience from evaluating biodiversity effects of the SAN/ Rainforest Alliance system from 2011-2014, we reflect critically on challenges, opportunities, and future priorities for evaluating and improving the biodiversity conservation benefits of VCS more broadly.
Zbornik 23. mednarodne multikonference

Multi-attribute decision analysis is an approach to decision support in which decision alternatives are assessed by multicriteria models. In this paper, we address the problem of generating alternatives: given a multi-attribute model and an alternative, the goal is to generate alternatives that require the smallest change to the current alternative to obtain a desirable outcome. We present a novel method for alternative generation based on Bayesian optimization and adapted to qualitative DEX models. The method was extensively evaluated on 42 different DEX decision models with a variable complexity (e.g., variable depth and variable attribute’s weight distribution). The method’s behavior was analyzed with respect to computing time, time to obtaining the first appropriate alternative, number of generated alternatives, and number of attribute changes required to reach the generated alternatives. The experimental results confirmed the method’s suitability for the task, generating at least one appropriate alternative within one minute. The relation between the decision-model’s depth and the computing time was linear and not exponential, which implies that the method is scalable.
Polynomial Time Corresponds to Solutions of Polynomial Ordinary Differential Equations of Polynomial Length (Journal version)

The outcomes of this paper are twofold. Implicit complexity. We provide an implicit characterization of polynomial time computation in terms of ordinary differential equations: we characterize the class PTIME of languages computable in polynomial time in terms of differential equations with polynomial right-hand side. This result gives a purely continuous elegant and simple characterization of PTIME. We believe it is the first time complexity classes are characterized using only ordinary differential equations. Our characterization extends to functions computable in polynomial time over the reals in the sense of computable analysis. Our results may provide a new perspective on classical complexity, by giving a way to define complexity classes, like PTIME, in a very simple way, without any reference to a notion of (discrete) machine. This may also provide ways to state classical questions about computational complexity via ordinary differential equations. Continuous-Time Models of Computation. Our results can also be interpreted in terms of analog computers or analog models of computation: As a side effect, we get that the 1941 General Purpose Analog Computer (GPAC) of Claude Shannon is provably equivalent to Turing machines both in terms of computability and complexity, a fact that has never been established before. This result provides arguments in favour of a generalised form of the Church-Turing Hypothesis, which states that any physically realistic (macroscopic) computer is equivalent to Turing machines both in terms of computability and complexity.
Going On-line on a Shoestring : An Experiment in Concurrent Development of Requirements and Architecture

A number of on-line applications were built for a small university using a micro-sized development team. Four ideas were tested during the project: the Twin Peaks development model, using fully functional prototypes in the requirements elicitation process, some core practices of Extreme Programming, and the use of open-source software in a production environment. Certain project management techniques and their application to a micro-sized development effort were also explored. These ideas and techniques proved effective in developing many significant Internet and networked applications in a short time and at very low cost.
WATAK POLITIK DAN DIPLOMASI API ARAB SAUD

This paper seeks to track the political nature behind the decision of Saudi Arabia Kingdom of Saudi executes Shia cleric, Nimr Baqir Al-Nimr using speech act theory. It is not a coincidence when the execu­tion of the Nimr conducted before implementation JCPOA, reached Iran with 5+1 group and the European Union. The Saudi political action born out of political character that is both personal and tribal.This paper provides a theoretical reinforcement to the previous related research, especially Hermann Frederick Eilts about the foreign policy of Saudi Arabia, also Philip S. Khoury and Joseph Kostiner that highlights the state's formation and patterns of tribal Arab country. Tracking model of diplomacy fire that relies on oil (money) and sword (military), a bit much to contribute about the urgency of understanding the political nature, including the style of diplomacy, as large maps to analyze the political action of the actors Arab kingdom of Saud in responding to the political dynamics of regional and global
XPath leashed

This survey gives an overview of formal results on the XML query language XPath. We identify several important fragments of XPath, focusing on subsets of XPath 1.0. We then give results on the expressiveness of XPath and its fragments compared to other formalisms for querying trees, algorithms, and complexity bounds for evaluation of XPath queries, as well as static analysis of XPath queries.
Technological Management of Small Crops Through Mobile Apps and Precision Agriculture

Small farmers realize that the adoption of information systems and wireless communications in the field is more than a trend it becomes a necessity. Despite having access to mobile telephony, they do not usually use mobile applications to improve their operations. This work presents a novel computational approach focused on improving the quality of Brazilian tomato crops. We present a low cost and ubiquitous computing environment based on precision agriculture principles to support small farmers to inspect tomato crops and to help them to early detect late blight, one of major disease affecting tomato plants in Brazil. Our initial results have shown that the approach is capable of handling field observations, retrospective provenance descriptiors and process images with neural networks to assit small farmers in automated detection of the foliage disease.
AIS Electronic Library (AISeL) AIS Electronic Library (AISeL)

Problems with Health Information Technology (HIT) involve human and technical factors with human factor significantly more likely to harm patients. A human factor contributing to these problems is cognitive load – the load imposed on an individual’s working memory. While the literature explored cognitive load in areas of design and use of HIT, little is discussed about it in the area of training – a prerequisite for competent use of HIT. This study subscribed to Cognitive Load Theory (CLT) and explored cognitive load in training on Electronic Medical Record (EMR) systems as a prevalent form of HIT in intensive care environments. Designers, trainers, and trainees of instructional materials for EMR systems training in a neonatal intensive care unit were interviewed in an interpretive case study. The preliminary results indicated cognitive load as a recognised phenomenon in EMR systems training but pointed to a lack of awareness of CLT techniques for managing cognitive load