LLukas22/scidocs huggingface dataset:
A case study on a hybrid wind speed forecasting method using BP neural network

Wind energy, which is intermittent by nature, can have a significant impact on power grid security, power system operation, and market economics, especially in areas with a high level of wind power penetration. Wind speed forecasting has been a vital part of wind farm planning and the operational planning of power grids with the aim of reducing greenhouse gas emissions. Improving the accuracy of wind speed forecasting algorithms has significant technological and economic impacts on these activities, and significant research efforts have addressed this aim recently. However, there is no single best forecasting algorithm that can be applied to any wind farm due to the fact that wind speed patterns can be very different between wind farms and are usually influenced by many factors that are location-specific and difficult to control. In this paper, we propose a new hybrid wind speed forecasting method based on a back-propagation (BP) neural network and the idea of eliminating seasonal effects from actual wind speed datasets using seasonal exponential adjustment. This method can forecast the daily average wind speed one year ahead with lower mean absolute errors compared to figures obtained without adjustment, as demonstrated by a case study conducted using a wind speed dataset collected from the Minqin area in China from 2001 to 2006. 2011 Elsevier B.V. All rights reserved.
The Brexit Trade Disruption Revisited

The UK leaving the European Union, a ‘Brexit,’ would have economic and political implications. One of the most profound economic impacts would be on trade—the EU is the UK’s most important trade partner, with approximately half of UK total trade. A Brexit would imply looser economic integration between the UK and EU. In addition to the trade barriers that would arise from leaving the single market, there would also be negative trade policy effects. Previous analyses of the cost of a Brexit to the UK economy in terms of trade have probably underestimated the impact because they overlook the tradeenhancing role of migration. A Brexit would be likely to limit migration, which, in turn, would aggravate the exit’s trade-disruptive effect.
Implicit Dimension Identification in User-Generated Text with LSTM Networks

In the process of online storytelling, individual users create and consume highly diverse content that contains a great deal of implicit beliefs and not plainly expressed narrative. It is hard to manually detect these implicit beliefs, intentions and moral foundations of the writers. We study and investigate two different tasks, each of which reflect the difficulty of detecting an implicit user’s knowledge, intent or belief that may be based on writer’s moral foundation: 1) political perspective detection in news articles 2) identification of informational vs. conversational questions in community question answering (CQA) archives and. In both tasks we first describe new interesting annotated datasets and make the datasets publicly available. Second, we compare various classification algorithms, and show the differences in their performance on both tasks. Third, in political perspective detection task we utilize a narrative representation language of local press to identify perspective differences between presumably neutral American and British press. IMPLICIT DIMENSION IDENTIFICATION IN USER-GENERATED TEXT 3 Implicit Dimension Identification in User-Generated Text with LSTM Networks
Admissible Bases Via Stable Canonical Rules

AbstractWe establish the dichotomy property for stable canonical multi-conclusion
rules for IPC, K4, and S4. This yields an alternative proof of existence of explicit bases of admissible rules for these logics.
A Brief History of Cloud Offload: A Personal Journey from Odyssey Through Cyber Foraging to Cloudlets

O CTO B E R 2014 | Volume 18, Issue 4 GetMobile Every time you use a voice command on your smartphone, you are benefitting from a technique called cloud offload. Your speech is captured by a microphone, pre-processed, then sent over a wireless network to a cloud service that converts speech to text. The result is then forwarded to another cloud service or sent back to your mobile device, depending on the application. Speech recognition and many other resource-intensive mobile services require cloud offload. Otherwise, the service would be too slow and drain too much of your battery. Research projects on cloud offload are hot today, with MAUI [4] in 2010, Odessa [13] and CloneCloud [2] in 2011, and COMET [8] in 2012. These build on a rich heritage of work dating back to the mid-1990s on a theme that is broadly characterized as cyber foraging. They are also relevant to the concept of cloudlets [18] that has emerged as an important theme in mobile-cloud convergence. Reflecting my participation in this evolution from its origins, this article is a personal account of the key developments in this research area. It focuses on mobile computing, ignoring many other uses of remote execution since the 1980s such as distributed processing, query processing, distributed object systems, and distributed partitioning.
Combining Smartphone and Smartwatch Sensor Data in Activity Recognition Approaches: an Experimental Evaluation

DOI reference number: 10.18293/SEKE2016-040 Abstract—Activity recognition has been widely studied in ubiquitous computing since it can be used in several application domains, such as fall detection and gesture recognition. Initially, works in this area were based on research-only devices (bodyworn sensors). However, with advances in mobile computing, current research focuses on mobile devices, mainly, smartphones. These devices provide Internet access, processing, and various sensors, such as accelerometer and gyroscope, which are useful resources for activity recognition. Therefore, many studies use smartphones as data source. Additionally, some works have already considered the use of wristbands and specially-designed watches, but fewer investigate the latest marketable wearable devices, such as smartwatches, which are less intrusive and can provide new opportunities to complement smartphone data. Moreover, for the best of our knowledge, no previous work experimentally evaluates the impact caused by the combination of sensor data from smartwatches and smartphones on the accuracy of activity recognition approaches. Therefore, the main goal of this experimental evaluation is to compare the use of data from smartphones as well as the combination of data from smartphones and smartwatches for activity recognition. We evidenced that the use of smartphone and smartwatch data combined can increase the accuracy of activity recognition.
Fuzzy multi-objective model for supplier selection and order allocation in reverse logistics systems under supply and demand uncertainty

In this research, we develop a fuzzy multi-objective mathematical model to identify and rank the candidate suppliers and find the optimal number of new and refurbished parts and final products in a reverse logistics network configuration. This modeling approach captures the inherent uncertainty in customers’ demand, suppliers’ capacity, and percentage of returned products as well as existence of conflicting objectives in reverse logistics systems. The objective functions in this study are defined as total profit, total defective parts, total late delivered parts, and economic risk factors associated with the candidate suppliers whereas the uncertainties are treated in a fuzzy environment. In order to avoid the subjective weighting from decision makers when solving the multi-objective model, a Monte Carlo simulation integrated with fuzzy goal programming is developed to determine the entire set of Paretooptimal solutions of the proposed model. The effectiveness of the mathematical model and the proposed solution method in obtaining Pareto-optimal solutions is demonstrated in a numerical example from a real case study. 2015 Elsevier Ltd. All rights reserved.
Symbols, SI Units and Physical Quantities Within the Scope of Sap Flow Studies

Some confusion was observed during the 7 International Workshop on Sap Flow (Seville, Spain, 21-24 October 2008) with respect to the use of symbols, units and physical quantities in presentations and during discussions. It was therefore decided at the end of the workshop that a technical note would be very useful with the aim to summarize the basics of the “Système International des Unités (SI)” and to focus on particular aspects that are relevant for sap flow studies. Starting from a number of standard papers that have been published in the past, an extra effort was made to put sap flow nomenclature against the physical background of plant-water relationships, of water flow in the soil-plant-atmosphere continuum and of transport equations for mass, heat and hydraulic flow. Information is given on the application of SI units and the main SI conventions. Tables are included for practical use of basic and derived SI units and for common abbreviations encountered in sap flow studies. An overview of a coherent nomenclature for sap flow studies, together with definitions of sap flow quantities, symbols and units is given as well. INTRODUCTION During the 7 International Workshop on Sap Flow (Seville, Spain, 21-24 October 2008) it became clear that participants frequently did not exactly speak the same language or used the same nomenclature when they were discussing their studies on sap flow phenomena and related topics. Some confusion could be observed when symbols, units and even physical concepts were used during their presentations. Scientific communication was sometimes difficult, especially during discussions held after a presentation. At the end of the Seville meeting it was therefore concluded that a technical note would be useful with the aim to summarize the basics of the “Système International des Unités” (official English translation: “International System of Units”, or referred to as the standard system of SI units), and to focus on some particular aspects that are relevant for sap flow studies. A decimal system of weights and measures was already proposed as early as 1670 by Gabriel Mouton, a French mathematician and vicar of the St Paul’s church at Lyon (France). The metric system was finalized during the French revolution (from 1789 till 1799). At that time this system stirred considerable controversy as it illustrated the
Honey-based therapy for paediatric burns and dermal trauma compared to standard hospital protocol

Aims: To compare honey-based ointments and dressings for the treatment of paediatric partial-thickness burns and skin lesions with results from cases treated with conventional methods. Methods: Eight children (eight months–13 years) were included in the study when admitted to the emergency room (ER). Five had partial-thickness burns (2–35% total body surface area [TBSA]). The three others had necrotic ulcers, circular skin lesions and deep cervical trauma. After stabilising the patients in the ER, honey-based products were applied. Parents were given instructions on how to apply the honey ointment and dressings at home. Patients were followed up weekly on an out-patient basis. Similar cases treated with povidone iodine were collated from hospital archives for comparison. Results: All honey cases had complete epithelialisation by the end of the second week, without any adverse effects. The povidone iodine group needed on average three weeks for epithelialisation and had prolonged hospitalisation. The home care by the parents provided stress-free healing for both children and parents. Conclusions: The honey-based therapy indicates a fast (19 days vs 25–31 days), cost-effective and patient-friendlier treatment method compared to povidone iodine. Conflict of interest: None. Abstract
Clinical Nurse Leader Integrated Care Delivery to Improve Care Quality: Factors Influencing Perceived Success.

PURPOSE
Clinical nurse leader(TM) (CNL)-integrated care delivery is a new model for organizing master's-level nursing clinical leadership at the microsystem level. While there is growing evidence of improved patient care quality and safety outcomes associated with CNL practice, organizational and implementation characteristics that influence CNL success are not well characterized. The purpose of this study was to identify organization and implementation factors associated with perceived success of CNL integration into microsystem care delivery models.


METHODS
A survey was developed and administered to a nationwide sample of certified CNLs and managers, leaders, educators, clinicians, and change agents involved in planning or integrating CNLs into a health system's nursing care delivery model. Items addressed organizational and implementation characteristics and perceived level of CNL initiative success. Generalized linear modeling was used to analyze data.


RESULTS
The final sample included 585 respondents. The final model accounted for 35% of variance in perceived CNL initiative success, and included five variables: phase of CNL initiative, CNL practice consistency, CNL instructor or preceptor involvement, CNL reporting structure, and CNL setting ownership status.


CONCLUSIONS
CNL initiative success is associated with modifiable organizational and implementation factors.


CLINICAL RELEVANCE
Study findings can be used to inform the development of successful implementation strategies for CNL practice integration into care delivery models to improve care quality outcomes.
Hedgehog-Mediated Patterning of the Mammalian Embryo Requires Transporter-like Function of Dispatched

The dispatched (disp) gene is required for long-range Hedgehog (Hh) signaling in Drosophila. Here, we demonstrate that one of two murine homologs, mDispA, can rescue disp function in Drosophila and is essential for all Hh patterning activities examined in the early mouse embryo. Embryonic fibroblasts lacking mDispA respond normally to exogenously provided Sonic hedgehog (Shh) signal, but are impaired in stimulation of other responding cells when expressing Shh. We have developed a biochemical assay that directly measures the activity of Disp proteins in release of soluble Hh proteins. This activity is disrupted by alteration of residues functionally conserved in Patched and in a related family of bacterial transmembrane transporters, thus suggesting similar mechanisms of action for all of these proteins.
A review on remote data auditing in single cloud server: Taxonomy and open issues

Cloud computing has emerged as a computational paradigm and an alternative to the conventional computing with the aim of providing reliable, resilient infrastructure, and with high quality of services for cloud users in both academic and business environments. However, the outsourced data in the cloud and the computation results are not always trustworthy because of the lack of physical possession and control over the data for data owners as a result of using to virtualization, replication and migration techniques. Since that the security protection the threats to outsourced data have become a very challenging and potentially formidable task in cloud computing, many researchers have focused on ameliorating this problem and enabling public auditability for cloud data storage security using remote data auditing (RDA) techniques. This paper presents a comprehensive survey on the remote data storage auditing in single cloud server domain and presents taxonomy of RDA approaches. The objective of this paper is to highlight issues and challenges to current RDA protocols in the cloud and the mobile cloud computing. We discuss the thematic taxonomy of RDA based on significant parameters such as security requirements, security metrics, security level, auditing mode, and update mode. The state-of-the-art RDA approaches that have not received much coverage in the literature are also critically analyzed and classified into three groups of provable data possession, proof of retrievability, and proof of ownership to present a taxonomy. It also investigates similarities and differences in such framework and discusses open research issues as the future directions in RDA research. & 2014 Elsevier Ltd. All rights reserved.
Hardware support for WCET analysis of hard real-time multicore systems

The increasing demand for new functionalities in current and future hard real-time embedded systems like automotive, avionics and space industries is driving an increase in the performance required in embedded processors. Multicore processors represent a good design solution for such systems due to their high performance, low cost and power consumption characteristics. However, hard real-time embedded systems require time analyzability and current multicore processors are less analyzable than single-core processors due to the interferences between different tasks when accessing shared hardware resources. In this paper we propose a multicore architecture with shared resources that allows the execution of applications with hard real-time and non hard real-time constraints at the same time, providing time analizability for the hard real-time tasks so that they can meet their deadlines. Moreover our architecture proposal provides high-performance for the non hard real-time tasks.
Adjuvant and Salvage Radiotherapy after Radical Prostatectomy in Prostate Cancer Patients.

CONTEXT
Prostate cancer (PCa) patients found to have adverse pathologic features following radical prostatectomy (RP) are less likely to be cured with surgery alone.


OBJECTIVE
To analyze the role of postoperative radiotherapy (RT) in patients with aggressive PCa.


EVIDENCE ACQUISITION
We performed a systematic literature review of the Medline and EMBASE databases. The search strategy included the terms radical prostatectomy, adjuvant radiotherapy, and salvage radiotherapy, alone or in combination. We limited our search to studies published between January 2009 and August 2016.


EVIDENCE SYNTHESIS
Three randomized trials demonstrated that immediate RT after RP reduces the risk of recurrence in patients with aggressive PCa. However, immediate postoperative RT is associated with an increased risk of acute and late side effects ranging from 15% to 35% and 2% to 8%, respectively. Retrospective studies support the oncologic efficacy of initial observation followed by salvage RT administered at the first sign of recurrence; however, the impact of this delay on long-term control remains uncertain. Hopefully, ongoing randomized trials will shed light on the role of adjuvant RT versus observation±salvage RT in individuals with adverse features at RP. Accurate patient selection based on clinical characteristics and molecular profile is crucial. Dose escalation, whole-pelvis RT, novel techniques, and the use of hormonal therapy might improve the outcomes of postoperative RT.


CONCLUSIONS
Immediate RT reduces the risk of recurrence after RP in patients with aggressive disease. However, this approach is associated with an increase in the incidence of short- and long-term side effects. Observation followed by salvage RT administered at the first sign of recurrence might be associated with durable cancer control, but prospective randomized comparison with adjuvant RT is still awaited. Dose escalation, refinements in the technique, and the concomitant use of hormonal therapies might improve outcomes of patients undergoing postoperative RT.


PATIENT SUMMARY
Postoperative radiotherapy has an impact on oncologic outcomes in patients with aggressive disease characteristics. Salvage radiotherapy administered at the first sign of recurrence might be associated with durable cancer control in selected patients but might compromise cure in others.
High productivity of human recombinant beta-interferon from a low-temperature perfusion culture.

Recombinant human interferon-beta (β-IFN), used in the therapeutic treatment of multiple sclerosis (MS), can be produced on a large-scale from genetically engineered Chinese hamster ovary (CHO) cells. However, its hydrophobicity causes non-reversible, molecular aggregation in culture. The parameters affecting aggregation were determined to be concentration, culture residence time, temperature and glycosylation. Although the protein can be produced in Escherichia coli in a non-glycosylated form, the addition of glycans confers a reduced rate of aggregation as well as a 10-fold higher bioactivity. We report on the application of a low temperature perfusion culture designed to control the parameters that cause aggregation. In this three-phase culture system there is a transition to a low temperature (32°C) in a batch mode prior to implementing perfusion at 1 volume/day using an acoustic cell separator. Perfusion at the low temperature resulted in a 3.5-fold increase in specific productivity and a 7-fold increase in volumetric productivity compared to the batch culture at 37°C. The percentage aggregation of β-IFN was reduced from a maximum of 43% in batch culture to a minimum of 5% toward the end of the perfusion phase. The glycosylation profile of all samples showed predominantly sialylated biantennary fucosylated structures. The extent of sialylation, which is important for bioactivity, was enhanced significantly in the perfusion culture, compared to the batch culture.
A survey of multi-factory scheduling

Because of current globalization trend, production has shifted from the single factory production to multi-factory production network. To become competitive in today’s rapidly changing market requirements, factories have shifted from a centralized to a more decentralized structure, in many areas of decision making including scheduling. In multi-factory production network, each factory can be considered as an individual entity which has different efficiency and is subject to different constraints, for example, machine advances, worker cost, tax, close to suppliers, and transportation facilities, etc. Since limited resources make scheduling an important decision in the production, for several decades, researchers focused on determining an efficient schedule to improve the productivity. The recent remarkable attention in distributed production management in both academia and the industry has demonstrated the significance of multi-factory scheduling. For the first time, this paper provides a review on the multi-factory machine scheduling. For this, first, the paper classifies and reviews the literature according to shop environments, including single machine, parallel machines, flowshop, job shop, and open shop. Then the reviewed literature is quantified and measured. At the end, the paper concludes by presenting some problems receiving less attention than the others and proposes several research opportunities in the field. J. Behnamian Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran S. M. T. Fatemi Ghomi (B) Department of Industrial Engineering, Amirkabir University of Technology, 424 Hafez Avenue, 15916-34311 Tehran, Iran e-mail: Fatemi@aut.ac.ir
Risk Factors for Male Sexual Aggression on College Campuses

Risk factors for college male sexual aggression that were both theoretically and empirically based were tested using multivariate regression analyses. These included substance abuse patterns, pornography consumption, negative gender-based attitudes, and child sexual abuse experiences. Regression analyses indicated that some gender attitudes, pornography use, and alcohol abuse were significant predictors of perpetration of sexual violence. Although a number of men were sexually abused as children, this risk factor did not predict sexual aggression as an adult. Many men reported alcohol-related sexual coercion and held many rape-supportive attitudes and beliefs. These practices by college men contribute to the prorape cultures found on many campuses. Strategies are needed to identify and intervene with high-risk men to prevent sexual victimization of women in college.