Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Performance and Isolation of Asymmetric Microkernel Design for Lightweight Manycores

Multikernel operating systems (OSs) were introduced to match the architectural characteristics of lightweight manycores. While several multikernel OS designs are possible, in this work we argue on one that is structured in asymmetric microkernel instances. We deliver an open-source implementation of an OS kernel with these characteristics, and we provide a comprehensive assessment using a representative benchmark suite. Our results show that an asymmetric microkernel design is scalable and introduces at most 0.9% of performance interference in an application execution. Also, our results unveil co-design aspects between an OS kernel and the architecture of lightweight manycore, concerning the memory system and core grouping.
Final Default Project

This paper proposes to approach the problem of context question answering via clever feature engineering. Building off of the baseline model, we incorporated additional training features into the word vectors to enhance our model’s answer retrieval. Finally, we used the SQuAD 2.0 dataset to evaluate the results. Our main findings revolve around the use of a TF-IDF score in feature engineering as that was the most novel and time-intensive feature that we implemented.
PMSM Vector Control Strategy Based on Active Disturbance Rejection Controller

Based on current research into the vector control principles of the permanent magnet synchronous motor (PMSM), a control strategy founded upon an Active Disturbances Rejection Controller (ADRC) is proposed. This control strategy consists of an ADRC speed loop and current controller. By studying the factors affecting the running state of a PMSM, a mathematical model is established, and the design principle of the active disturbances rejection controller is analyzed in order to design the ADRC speed loop. The speed loop considers errors caused by uncertain factors, such as external disturbances, to be the disturbance amount, which is observed and then compensated for by the ADRC, thereby improving the dynamic and static performance as well as the anti-disturbance capability of the system. In order to achieve the strong coupling of the PMSM, the current controller was also designed to decouple the d–q axis current. Our simulation and experimental results demonstrate the feasibility and practicability of this control strategy.
12-1-2016 miR-155 expression and correlation with clinical outcome in pediatric AML : A report from Children ' s Oncology Group .

Background—Aberrant expression of microRNA-155 (miR-155) has been implicated in acute myeloid leukemia (AML) and associated with clinical outcome. Procedure—We evaluated miR-155 expression in 198 children with normal karyotype AML (NK-AML) enrolled in Children's Oncology Group (COG) AML trial AAML0531 and correlated miR-155 expression levels with disease characteristics and clinical outcome. Patients were divided into quartiles (Q1–Q4) based on miR-155 expression level, and disease characteristics were then evaluated and correlated with miR-155 expression. Results—MiR-155 expression varied over 4-log10-fold range relative to its expression in normal marrow witha median expression level of 0.825 (range 0.043–25.630) for the entire study cohort. Increasing miR-155 expression was highly associated with the presence of FLT3/ITD mutations (P < 0.001) and high-risk disease (P < 0.001) and inversely associated with standard-risk (P = 0.008) Correspondence: Soheil Meshinchi, Clinical Research Division, Fred Hutchinson Cancer Research Center, D5-380, 110 Fairview Avenue North, Seattle, WA 98103. smeshinc@fhcrc.org. Ranjani Ramamurthy, Maya Hughes, and Soheil Meshinchi contributed equally to this manuscript. Portions of this data were previously presented at the 2012 and 2014 American Society of Hematology Meeting. Conflict of Interest: The authors declare that there is no conflict of interest. HHS Public Access Author manuscript Pediatr Blood Cancer. Author manuscript; available in PMC 2017 July 05. Published in final edited form as: Pediatr Blood Cancer. 2016 December ; 63(12): 2096–2103. doi:10.1002/pbc.26157. A uhor M anscript
Limestone-filled pozzolanic cement

Fillers are specially selected, natural or artificial inorganic materials, which improve the physico-chemical and mechanical properties of the cement such as workability or water retention. They can be inert or have slightly hydraulic, latent hydraulic or pozzolanic properties. They cause no appreciable increase of the water demand of the cement, in addition to not impairing the resistance of the concrete or mortar to deterioration in any way or reducing the corrosion protection of reinforcement. Fillers are normally either limestone or any inert material such as sand. The aim of this investigation is to study the effect of substitution of limestone for Homra in pozzolanic cement. The effect of limestone replacement was studied by the determination of the combined water, free lime contents, bulk density, total porosity and compressive strength. The results show that the addition of limestone reduces the initial and final setting time, as well as total porosity, whereas the free lime and combined water increase with limestone content. It can be concluded that limestone fills the pores between cement particles due to formation of carboaluminate, which may accelerate the setting of cement pastes. D 2000 Elsevier Science Ltd. All rights reserved.
Implementation of Object Detection and Tracking

This paper proposes a robust object detection and tracking method to localize and track the interesting objects from input video stream, which is consisted of 3 modules; object detecting, tracking and learning. The experimental results show that the proposed approach is more robust in the appearance changes, viewpoint changes, and rotation of the object in the view, compared to the traditional method.
Below is a simple one that comes from William Wordsworth ’ s poem “ I Wandered Lonely as a Cloud ”

In the paper, I propose that metaphor is a near-universal feature of poetry (in that most poetry operates with metaphor). A second metaphor universal in poetry (but possibly also in much of literature in general) is that the metaphors are conceptual metaphors expressed by certain linguistic manifestations. Third, the (unconscious) selection of the metaphors used by poets can be influenced by the various types of context: situational, discourse, bodily, and conceptual-cognitive. Fourth, the metaphors occur on various levels of schematicity. Fifth, the conceptual metaphors that are based on universal correlations in experience are potentially universal; they are present in the poetry of certain unrelated languages/cultures, but not in that of all languages/cultures (i.e., they are not absolute universals). At the same time, the conceptual metaphors based on resemblance tend to be highly variable cross-linguistically.
Expression of Anti-Neurodegeneration Genes in Mutant Caenorhabditis elegans Using CRISPR-Cas9 Improves Behavior Associated With Alzheimer’s Disease

Alzheimer’s is ranked as the 6th leading cause of death in the United States, and mainly presented as neurodegeneration. In order to begin to understand its physiology, the specific role of proteins in neurodegeneration, LRP1 and AQP4, need to be studied. This study tested the effect of using the CRISPR-Cas9 system to overexpress the LRP1 and AQP4 proteins, associated with transport of materials and waste across the cell membrane, in Caenorhabditis elegans to assess effects on neurodegeneration, such as chemosensation, size, and average speed phenotypes. I hypothesized that combinatorial overexpression of AQP4 and LRP1 would have the greatest effect on reducing neurodegeneration. I tested chemosensory behavior using a chemotaxis test, revealing a decrease in neurodegeneration when both LRP1 and AQP4 were overexpressed. The size of the C. elegans did not change, but the speed increased in the strain expressing amyloid beta in the muscle, suggesting that a decrease in amyloid beta allowed muscles more room to contract. These results support our hypothesis and show that the overexpression of LRP1 and AQP4 proteins decrease neurodegeneration and allow C. elegans to preserve their olfactory retention. This study will help demonstrate the role of LRP1 and AQP4 in Alzheimer’s and determine whether they benefit the system once they are overexpressed.
Generative Multi-Hop Question Answering with Compositional Attention Networks

Current state-of-the-art models in question answering tasks fail at achieving comparable accuracies in so-called multi-hop settings, which require composing multiple pieces of evidence from a context document to arrive at the correct answer. To overcome the limitations in standard attention-based approaches, I adapt the recently developed compositional attention network (MAC) architecture, originally implemented for visual question answering, and test its performance on the HotpotQA dataset for interpretable multi-hop question answering. The trained model exceeds the performance of provided baseline models and approaches state-of-the-art performance. A custom project under the mentorship of Drew Hudson (dorarad@cs.stanford.edu).
Interfaces for Farm Animals and their Caretakers in Outdoor ( and Harsh Indoor ) Computing Contexts

Growing demand on the farming industry to increase productivity has fueled the need for increased automation on modern farms, including wearable sensors on individual animals, automated habitat monitoring, and mobile computing applications for farmers and other animal caretakers. Much of these technologies are utilized in harsh outdoor conditions, and often breakdown or are difficulty to use because of extreme usage conditions. These computing situations provide unique and interesting design challenges for outdoor interface design.
Farmer Participatory Research Advances Sustainable Agriculture: Lessons from Michigan and Malawi

2681 AbstrAct Sustainable production for field crops has proved to be a challenging proposition. Farmer participatory research (FPR) is an important approach to help ensure relevance and define locally adapted solutions for enhanced adoption of sustainable agriculture (SA) technologies. The mother and baby trial (MBT) design has proved effective as a FPR approach to address challenges on smallholder farms. The MBT systematically links long-term “mother” trials, where slow and erratic processes can be monitored, to “baby” trials led by farmers to capture a wide range of farm practices and environmental contexts. Communication and learning is facilitated through MBTs as well. This distributed FPR approach documents the performance of technologies in diverse contexts and provides multiple opportunities for joint planning, observation, and reflection. We describe two MBT case studies, one within a developing country context (Malawi) and the other representing a novel application of MBT within an intensive agriculture context (Michigan). To explore tradeoffs in SA performance, multiple domains (productivity, environmental, and economic) are presented via radar charts as a visualization tool. In both FPR experiences, farmer perspectives and a wide range of practices were revealed. In Malawi, a mesic site was associated with steep SA tradeoffs compared with a marginal site. In Michigan, diversity in tillage practices, field crop performance, and soil health were found to be conditioned by the environment. Overall, the MBT approach supported the development of SA technologies adapted to local conditions.
Virtual Environment for Surgical Room of the Future.

Abstract : The goal of this project was to create a unique multimodal virtual design environment that can be used to reconceptualize current surgical environments and to anticipate changes in these environments necessitated by ongoing technological progress in surgical treatment and training. The project will serve the dual needs of both civilian and military health care by developing a design for an operating room of the future, as conceived within the context of an adaptive vision of the hospital of the future. Innovate new medical technologies currently being developed to meet military needs will be incorporated in these designs. Ultimately, a prototype of a new surgical room design is proposed to be placed at the Massachusetts General Hospital for demonstration, testing, and evaluation.
CLOSE-RANGE PHOTOGRAMMETRIC ASSESSMENT OF SPHERICAL OBJECTS

Smartphones have widened the possibilities for low-cost close-range image acquisition for three-dimensional (3D) modelling. They allow the rapid acquisition of large amounts of data for a wide range of applications. However, the accuracy of the models and the automation possibilities depend on the image acquisition conditions and application requirements. In this study, the accuracy and reliability of the derived photogrammetric 3D models are evaluated on a spherical setup for close-range applications (ca. 30 cm). Different numbers of images, network configurations, targets, devices and camera calibration methodologies are tested and evaluated. Results show that for this close-range application high accuracy (0·2 mm) and reliability can be achieved. The number of images did not significantly affect the accuracy but was vital for tie-point detection and image orientation. The use of artificial targets was found to be the key factor in increasing the final accuracy. In contrast, the image calibration strategy and the characteristics of the imaging device did not have a great impact on the results.
Cardiovascular disease and diabetes in patients with African or Asian

E-mail: a.aa@nakmi.no Norwegian Centre for Migration and Minority Health (NAKMI) Oslo University Hospital, Aker He is the author of this article. Arild Aambø (born 1949), doctor and former specialist in primary care medicine. He is a senior adviser at NAKMI and has been a member of the Norwegian Directorate of Health’s expert group for the prevention of diabetes-related macrovascular complications. The author has completed the ICMJE form and reports no conflicts of interest.
On the examination of relationship between employees' job satisfaction and Total Quality Management (Case study: Kurdistan's Telecommunications Co.)

In the modern world, the quality of communication services is thought of the most valuable subject in the telecommunications industry, such that it is highly important to measure it. On the one hand, job satisfaction affects many organizational variables. Thus, in this research, the researcher seeks to answer the question: what relationship is there between job satisfaction and Total Quality Management in the Kurdistan's telecommunications Co.? The population under study is consisted of Unit Employees of the said corporation for as many as 115 people. The research goal is applied and an analytical survey-descriptive format was used. In this research, two questionnaires were used for measuring research variables (job satisfaction as an independent variable and Total Quality Management as the dependent variable), where the reliability of the said questionnaires was estimated to be 0.87 by way of SPSS software in form of Cronbach's alpha. Research results indicated that job satisfaction in the Western Azerbaijan's Telecommunications Corporation was at a medium rate. The results also demonstrated that the said organization has now started learning a Program On Quality and Productivity. In the end, it was found out that the Kurdistan's telecommunications Co., given the medium job satisfaction among its employees and the significance of quality management in this organization as well as the relationship between these two variables, should adopt necessary measures for increasing employees' job satisfaction.
Dolor lumbar: enfoque basado en la evidencia

Low back pain is a very common reason for consultation in general practice; due to the wide offer of treatment options, it is important, in order to select the best, to resort to the concepts of evidence-based medicine. The interventions that have more solid evidence in the literature are: to keep being active, to prescribe therapeutic exercises during the subacute and chronic periods, as well as after surgery, and to use nonsteroidal antiinflammatories and antidepressants.
Decision Analysis in Situations with Conflicting Interests

Decision problems in participatory decision making involve multiple stakeholders, who often have conflicting preferences concerning the actions under consideration. Decision problems such as these can be structured as multi-criteria problems, which enables the actions to be evaluated in terms of more than one single criterion. In these situations, the complexity of the problem increases when the objective is to select a portfolio of actions. Another aspect to take into consideration is that the choice of actions often has a long-term impact on the lives of the stakeholders. It is therefore not surprising that these problems often are sources of costly and time-consuming conflicts. This thesis presents artifacts in the form of methods and applications aiding the decision maker in participatory decision making problems in highlighting stakeholder conflict. The artifacts are DANCE, XPLOR, POLA, and SENS. DANCE is a framework of methods that are used to elicit preferences, and to measure and analyze conflicts between and within stakeholder groups regarding the performance of an action. The framework uses three novel artifacts: i) CAR-CE a method for preference elicitation, ii) two indices, one for measuring the conflict within one stakeholder group, one for measuring the conflict between two stakeholder groups, and iii) an approach to portfolio optimisation and robustness analysis. XPLOR is a web-application that is used to explore and visualise stakeholder conflicts. POLA is a web-application for evaluating commercial development policy in cooperation with key stakeholders. The last artifact, SENSE, is a method for sensitivity analysis of portfolios. The artifact development followed the design science methodology, where the aim of the artifact is to solve a practical problem and where, in this case, the artifacts were evaluated against a set of requirements. The preference elicitation method, CAR-CE, was implemented in a web-questionnaire and was used in a real-world survey in cooperation with Upplands Väsby municipality. The elicited preferences were used in illustrative scenarios to demonstrate both the DANCE framework and XPLOR. POLA was demonstrated in three examples based on results from workshops that were conducted together with the municipalities of Norrköping, Katrineholm and Filipstad. Altogether, these artifacts support decision makers in modeling and analyzing decision problems, with the purpose of avoiding future costly and time-consuming conflicts in land use planning.
Hydrogen Adsorption by GC 3 N 4 and Graphene Oxide Nanosheets

How to cite this article Rostami S, Nakhaei Pour A, Izadyar M. Hydrogen Adsorption by G-C3N4 and Graphene Oxide Nanosheets. J Nanostruct, 2019; 9(3): 498-509. DOI: 10.22052/JNS.2019. 03.011 The adsorption behavior of hydrogen for synthesized graphitic carbon nitride (g-C3N4) and graphene oxide nanosheets was compared. The structure of the prepared g-C3N4 and graphene oxide samples were studied using TEM, FT-IR spectroscopy and surface area analysis. Textural results of the prepared nanosheets show that the surface area, total pore volume, and average internal diameter of g-C3N4 and graphene oxide samples are similar. The hydrogen adsorption isotherms at 298 K, up to 22 bar pressures were as Type III and the maximum hydrogen storage capacities at 22 bar and 296 K were 1.06 and 1.27 mmol/g for graphite oxide and g-C3N4 samples, respectively. The adsorption results were fitted by Freundlich model, which was related to reversible multilayer adsorption on non-uniform surface active sites with different affinities of both g-C3N4 and graphene oxide adsorbents. Isosteric heat of adsorption of hydrogen on the graphene oxide varies from 8.6 kJ.mol-1 (at low hydrogen uptake) to 4.3 kJ.mol-1. These results are the range of 10.1 to 4.8 kJ.mol-1 for the prepared g-C3N4 sample at same hydrogen uptake. The results show that the interaction between hydrogen molecules and tri-s-triazine units in g-C3N4 structure are stronger than carbon atoms in graphene oxide structure.
SPICE Model Extraction Parameters of Gamma Irradiation on Drain Current and Threshold Voltage of N-Channel MOSFETs

Sensitivity of an improved nMOSFET device was studied for energy dependence on cobalt-60 radiation measurement. Physical parameters including threshold voltage and drain current were investigated using a SPICE model level 3 to determine low field surface mobility and maximum transconductance parameters respectively. Measurements of increased gamma ray irradiation on n-channel metal oxide semiconductor field effect transistors (MOSFETs) were investigated for devices with a gate oxide thickness of 15 nanometers fabricated by 0.8-micron complementary metal-oxide-semiconductor (CMOS) technology. Characteristics of the pre-post irradiated devices regarding gamma rays emitted by a cobalt-60 source, transient dose = 290.68 Gy/hr, GC3 centre turn: 3.9 kGy/hr at total dosage varying from 1 to 10 kGy were assessed. Results suggested that n-Channel MOSFET devices were affected by increased gamma ray exposure dosage. Our findings indicated that deviation of the threshold decreased by 36.0% for short nMOSFET and 33.8% for big nMOSFET. Threshold voltage ratios between pre-irradiation and post-irradiation were approximately 0.65 and 0.63 for short and big nMOSFETs respectively, while maximum transconductance ratios between pre-irradiation and post-irradiation were approximately 0.95 and 0.63 for short and big nMOSFETs respectively. The maximum drain current IDS of big nMOSFETs increased by 8% at the highest dose rate (10 kGy) and increased by approximately 1.5% for short nMOSFETs.
Goods Distribution with Electric Vehicles : Review and Research Perspectives

Over the past decade, electric vehicles have gained in popularity in several countries, even though their market share is still relatively low. However, most gains have been made in the area of passenger vehicles and most technical and scientific studies have been devoted to this case. In contrast, the potential of electric vehicular technology for goods distribution has received less attention. The issues related to the use of EVs for goods distribution open up a wide range of relevant research problems. The aims of this survey paper are to provide transportation researchers an overview of the technical and marketing background needed to conduct research in this area, to present a survey of the existing research in this field, and to offer perspectives for future research.
Temperature Control Strategy of the Heating Furnace Used in Adsorption Desulfurization Device

Analyzed the cascade PID control scheme used to control the temperature of the adsorption desulfurization device (S Zorb) heating furnace and its big lag features, this paper propose a predictive control model that combine cascade PID and RBF neural network predictive model to control the temperature of the S Zorb heating furnace. This paper takes RBF neural network as predictive model to control the outlet temperature of the heating furnace, neural network predictive value as the feedback signal of the main loop of the cascade system and uses off-line learning to build the neural network predictive model ,on-line update to modify the parameters of the RBF neural network timely. The simulation results showed that the scheme could effectively control some dynamic performance, temperature overshoot, adjustment time and steady error, and control effects were better than those in cascade PID control scheme. The cascade-RBF neural network system has better control character and stronger robustness to overcome the disturbance and model mismatch on S zorb heating furnace.