Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis of zirconia colloidal dispersions by forced hydrolysis

Different zirconia colloidal dispersions (sols) were prepared from zirconyl oxynitrate and zirconyl oxychloride solutions by forced hydrolysis. Vigorously stirred acidic solutions of these salts were refluxed at 102 o C for 24 h. Characteriza- tion of the obtained sols (pH, solid phase content, crystal structure) was performed by potentiometric, XRD, TGA/DTA and SEM measurements. The prepared sols contained almost spherical monoclinic hydrated zirconia particles 7-10 nm in diam- eter.
Malpedia: A Collaborative Effort to Inventorize the Malware Landscape

For more than a decade now, a perpetual influx of new malware samples can be observed. To analyze this flood effectively, static analysis is still one of the most important methods. Thus, it would be highly desirable to have an open, freely accessible, curated, and cleanly labeled corpus of unpackedmalware samples for research on static analysis methods. In this paper, we introduceMalpedia, a collaboration platform for curating a malware corpus. Additionally, we provide a baseline for a cleanly labeled malware corpus consisting of 607 families divided into 1792 samples. This corpus offers a plethora of possibilities for researchers, including using it as a testbed for evaluations on detection and analysis methods, quality assurance for classification, and contextualization of new malware. To ensure the quality of our corpus, we adapted the requirements by Rossow et al. [1], derive specific requirements for the context of static malware analysis, and evaluate our corpus against them. Based on our corpus, we show that looking beyond packers dramatically reduces the size needed for a corpus to be representative, as the number of distinct malware families and versions after unpacking is orders of magnitude smaller than the number of unique packed samples. Additionally, we perform a comprehensive study of the Windows malware in the corpus, scrutinizing its structural features. This analysis clearly illustrates that Malpedia offers a wealth of information, readily available for indepth investigations.
Proteomic analysis of H3K36me3 and PSIP1/p75 (LEDGF)

Trimethylation at histone H3 at lysine 36 (H3K36me3) is Background: associated with expressed gene bodies and recruit proteins implicated in transcription, splicing and DNA repair. PC4 and SF2 interacting protein ( ) is a transcriptional coactivator, possesses a H3K36me3 PSIP1/LEDGF reader PWWP domain. Alternatively spliced isoforms of PSIP1 binds to H3K36me3 and suggested to function as adaptor proteins to recruit transcriptional modulators, splicing factors and proteins that promote homology directed repair (HDR), to H3K36me3 chromatin. We performed chromatin immunoprecipitation of H3K36me3 Methods: followed by quantitative mass spectrometry to identify proteins associated with H3K36 trimethylated chromatin in mouse embryonic stem cells (mESCs). Furthermore, we performed stable isotope labelling with amino acids in cell culture (SILAC) for a longer isoform of PSIP1 (p75) and MOF/KAT8 in mESCs and mouse embryonic fibroblasts (MEFS). Proteomic analysis of H3K36me3 chromatin show association of Results: proteins involved in transcriptional elongation, RNA processing and DNA repair with H3K36me3 chromatin. Furthermore, we show DNA repair proteins like PARP1, gamma H2A.X, XRCC1, DNA ligase 3, SPT16, Topoisomerases and BAZ1B are predominant interacting partners of PSIP1/p75. We validated the association of PSIP1/p75 with gamma H2A.X, an early marker of DNA damage and also demonstrated accumulation of damaged DNA in PSIP1 knockout MEFs. In contrast to the previously demonstrated role of Conclusions: H3K36me3 and PSIP1/p75 in promoting HDR in mammals, our data supports the wider role of H3K36me3 and PSIP1 in maintaining the genome integrity by recruiting several DNA repair proteins to transcribed gene bodies.
Order Submission Strategy and the Curious Case of Marketable Limit Orders

Abstract We provide empirical evidence on order submission strategy of investors with similar commitments to trade by comparing the execution costs of market orders and marketable limit orders (i.e., limit orders with the same trading priority as market orders). The results indicate the unconditional trading costs of marketable limit orders are significantly greater than market orders. We attribute the difference in costs to a selection bias and provide evidence suggesting the order submission strategy decision is based on prevailing market conditions and stock characteristics. After correcting for the selection bias, the results show the average trader chooses the order type with lower conditional trading costs.
Monroig O, Wang S, Zhang L, You C, Tocher DR & Li Y (2012) Elongation of long-chain fatty acids in rabbitfish Siganus canaliculatus: Cloning, functional characterisation and tissue distribution of Elovl5- and Elovl4-like elongases, Aquaculture,

Elongation of long-chain fatty acids in rabbitfish Siganus canaliculatus: Cloning, functional characterisation and tissue distribution of Elovl5-and Elovl4-like elongases, Aquaculture, 350-353, pp. 63-70. NOTICE: this is the author's version of a work that was accepted for publication in Aquaculture. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Aquaculture,
Beyond Dataflow

This paper presents some recent advanced dataflow architectures. While the dataflow concept offers the potential of high performance, the performance of an actual dataflow implementation can be restricted by a limited number of functional units, limited memory bandwidth, and the need to associatively match pending operations with available functional units. Since the early 1970s, there have been significant developments in both fundamental research and practical realizations of dataflow models of computation. In particular, there has been active research and development in multithreaded architectures that evolved from the dataflow model. Also some other techniques for combining control-flow and dataflow emerged, such as coarse-grain dataflow, dataflow with complex machine operations, RISC dataflow, and micro dataflow. These developments have also had certain impact on the conception of highperformance superscalar processors in the “post-RISC” era.
Regional variation of morphology of organized convection in the tropics and subtropics

Properties of organized convection with large horizontal area (> 1000 km2) and with different horizontal structures in the tropics and subtropics are investigated by using 14 years of Tropical Rainfall Measuring Mission observations. First, the convective features (CFs) are defined as contiguous areas of convective precipitation detected by the Tropical Rainfall Measuring Mission precipitation radar. Using the minor and major axes of fitted ellipses, the morphology of the CFs are described as closer to a circular or a line shape. Regional variations and the properties of organized convection are examined with CFs with area>1000 km2 after categorizing them by their shapes. Organized convection tends to have larger extent and a higher fraction of near‐circular shapes over land than over ocean. Shallow organized convection with maximum radar echo top height below 4.5 km is found mainly over ocean and some coastal regions. Of all tropical oceans, most shallow organized convection is found over the east Pacific. The fraction of line shaped organized convection is higher over the ocean than over land, and is higher in the subtropics than in the tropics. More convective lines are found in winter than in summer over oceans, but more in summer over land. Organized convective lines are slightly less convectively intense indicated by lower 30 dBZ echo top heights and warmer 37 GHz brightness temperatures than those with near‐circular shapes. Orientations of organized convective lines are often aligned with fronts, dry lines, warm ocean currents, coastlines, and mountain slopes. Over the subtropics, organized convective lines are tilted more east‐west over land, and more north‐south over oceans. The largest and the most intense convective lines are found over central Africa, Argentina, and southeast U.S. over land, and over several warm currents in subtropical oceans.
Rules for Role Play in Virtual Game Worlds Case Study: The Pataphysic Institute

The Pataphysic Institute (PI) is a prototype MMORPG de- veloped in order to experiment with game mechanics en- hancing the playing experience. In this paper aspects of the design the prototype which support players' expression of consistent interesting characters are reported. The design of these features builds upon results of user tests of a pre- vious iteration of the prototype. The game-play in PI is based on the semiautonomous agent-architecture the Mind Module.
Sensitization of Prostate Cancer Cells to Androgen Deprivation and Radiation via Manipulation of the MDM2 Pathway

Abstract : MDM2 is a feedback regulator of p53 and is central to apoptotic response of prostate cancer cells to radiotherapy (RT), androgen deprivation (AD) and RT+AD. Our in vitro measurements demonstrate that antisense-MDM2 (AS-MDM2) significantly enhances apoptosis in response to all of these treatments. The increase in apoptosis translates into an increase in overall cell death, determined using clonogenic assay. An orthotopic model using LNCaP cells injected into the prostates of nude mice corroborates the in vitro findings, particularly in terms of sensitization to AD. The mouse model involves determinations of growth inhibition through measurements of serum PSA and micro-MRI-based tumor volume. Treatment with AS-MDM2+AD and AS-MDM2+AD+RT resulted in the greatest growth inhibition, compared to the other groups. All prostate cancer risk groups stand to benefit. We have also measured MDM2 expression using immunohistochemistry in men treated on Radiation Therapy Oncology group trials 86-10 and 92-02. MDM2 overexpression is associated with a higher rate of distant metastasis and mortality, independent of conventional factors, treatment, ki-67 and p53. We now have a method not only for identifying men at high risk of treatment failure, but also for selecting men who would have the greatest potential benefit from therapeutically targeting MDM2.
InVivo Imaging of Myelination for Drug Discovery and Development in Multiple Sclerosis

Abstract : During the first funding cycle, we have worked closely with Dr. Miller to develop a series of animal models to assess the efficacy of the imaging compounds that he has developed to detect demyelination and remyelination in the intact brain and spinal cord. We have also begun to test the ability of the imaging probes to assay remyelination in response to potential therapeutic treatments. The key research accomplishments are highlighted below: 1. Design, synthesis and evaluation of coumarin-based molecular probes for imaging of myelination. (Wang et al, J. Med. Chem. 2011) 2. Longitudinal imaging of myelination using a near infra-red probe. (Wang et al, J. Neuroscience 2011) 3. Longitudinal [11C]CIC-PET Imaging in the spinal cord of a rat model of focal demyelination.
Design of PPG-Based Heart Rate Sensor Enabling Motion Artifact Cancellation

We have proposed a photoplethysmography (PPG)-based heart rate sensor which is equipped with a normal PPG sensor and a motion artifact sensor to be able to cancel motion artifact induced during exercise. It has two critical design parameters such as the height of the motion artifact sensor and the distance between the motion artifact sensor and the normal PPG sensor. This paper tries to determine the two parameters by experiments with a subject.
Simulating Deflagrations and Detonations with Detailed Chemistry

Simulating Deflagrations and Detonations with Detailed Chemistry Florian ETTNER, Klaus G. VOLLMER, Thomas SATTELMAYER When simulating detonations or the transition from a deflagration to a detonation (DDT), recent publications are often focused on high spatial resolution while chemistry is reduced to a one-step or two-step mechanism. This leads to good results when simulating established detonations, but in the case of DDT reaction parameters usually require a fit to the specific problem. Moreover, experiments have shown that quenching and reignition can play an important role for the onset of DDT. For this reason a reliable numerical tool for the investigation of DDT should include a chemical mechanism as accurate as possible. In the present paper a model including a detailed reaction mechanism is used to simulate clellayialions and detonations in tubes. The computational effort solving chemical reaction is minimized by an on-the-fly reaction mapping technique which can be combined with any reaction mechanism. It is demonstrated that this model is capable of qualitatively simulating both deflagrations and detonations and especially the transition between both regimes.
Microring and microdisk resonator integrated circuits on a silicon chip

We report our latest experimental and numerical work on silicon microresonator passive and electro-optic active devices. On the passive device front, we demonstrate an electrically tunable silicon microring notch filter for converting 3.6-Gbps non-return-to-zero (NRZ) data format to return-to-zero (RZ)-like data format. We show that the converted RZ-like data quality highly depends on the notch filter extinction ratios. On the active device front, we demonstrate a silicon microring modulator using a double-coupled U-bend waveguide as a feedback and a pair of laterally integrated injectiontype p-i-n diodes for bias/signal modulation. We show that the microring modulator extinction ratios are electrically controlled by applying a DC-bias across either the feedback-waveguide or the microring while applying a modulation signal across the other p-i-n diode. We also propose silicon microdisk modulators with selectively integrated depletiontype Schottky diodes. Our numerical simulations suggest that the microdisk structures can be advantageous compared with microring structures. We show that electrical rise time on the order of a few ps is feasible using microdisks. We also allude to on-going work on extending the microresonator devices discussed here to building functional silicon optoelectronics integrated circuits.
CRESUS : A Tool to Support Collaborative Requirements Elicitation Through Enhancing Shared Understanding and Simulation

Communicating an organisation's requirements in a semantically consistent and understandable manner and then reflecting the potential impact of those requirements on the IT infrastructure presents a major challenge among stakeholders. Initial research findings indicate a desire among business executives for a tool that allows them to communicate organisational changes using natural language and a simulation of the IT infrastructure that supports those changes. Building on a detailed analysis and evaluation of these findings, the innovative CRESUS tool was designed and implemented. The purpose of this research was to investigate to what extent CRESUS both aids communication in the development of a shared understanding and supports collaborative requirements elicitation to bring about organisational, and associated IT infrastructural, change. This paper presents promising results that show how such a tool can facilitate collaborative requirements elicitation through increased communication around organisational change and the IT infrastructure.
The Association of Multiple Biomarkers of Iron Metabolism and Type 2 Diabetes - the EPIC-InterAct Study Short running title: Iron Metabolism and Type 2 Diabetes Incidence

Clara Podmore MD, MPhil(1), Karina Meidtner PhD(2), Matthias B Schulze DrPH(2), Robert A Scott PhD(1), Anna Ramond PharmD, MSc(3), Adam S Butterworth PhD(3), Emanuele Di Angelantonio MD, PhD(3), John Danesh DPhil, FRCP(3), Larraitz Arriola MD, MSc(4,5,6), Aurelio Barricarte PhD(6,7), Heiner Boeing PhD(8), Françoise Clavel-Chapelon PhD(9,10), Amanda J Cross PhD(11), Christina C Dahm PhD(12), Guy Fagherazzi PhD(9,10), Paul W Franks PhD(13,14), Diana Gavrila MD MPH(6,15), Sara Grioni BSc(16), Marc J Gunter PhD(11), Gaelle Gusto PhD(9,10), Paula Jakszyn MPH, PhD(17), Verena Katzke PhD(18), Timothy J Key DPhil(19), Tilman Kühn PhD(18), Amalia Mattiello MD(20), Peter M Nilsson PhD(13), Anja Olsen MSc, PhD(21), Kim Overvad PhD(12,22), Domenico Palli MD(23), J. Ramón Quirós MD(24), Olov Rolandsson MD, PhD(14), Carlotta Sacerdote PhD(25,26), Emilio Sánchez-Cantalejo MD, PhD(6,27), Nadia Slimani PhD(28), Ivonne Sluijs PhD(29), Annemieke MW Spijkerman PhD(30), Anne Tjonneland Dr. Med. Sci(21), Rosario Tumino MD, MSc, DLSHTM(31,32), Daphne L van der A PhD(30), Yvonne T van der Schouw PhD(29), Edith JM Feskens PhD(33), Nita G Forouhi FFPHM(1), Stephen J Sharp MSc(1), Elio Riboli MD, MPH, ScM(11), Claudia Langenberg MD, PhD(1), Nicholas J Wareham MD, PhD(1)
A Framework on the Critical Success Factors of E-Learning Implementation in Higher Education: A Review of the Literature

— This paper presents a conceptual framework on the critical success factors of e-learning implementation in higher education, derived from an in-depth survey of literature review. The aim of this study was achieved by identifying critical success factors that affect for the successful implementation of e-learning. The findings help to articulate issues that are related to e-learning implementation in both formal and non-formal higher education and in this way contribute to the development of programs designed to address the relevant issues.
The Signature of Risk: Agent-based Models, Boolean Networks and Economic Vulnerability

Neoclassical economic theory, which still dominates the science, has proven inadequate to predict financial crises. In an increasingly globalised world, the consequences of that inadequacy are likely to become more severe. This article attributes much of the difficulty to an emphasis on equilibrium as an idealised property of economic systems. Alternatively, this article proposes that actual economies are typically out of balance, and that any equilibrium which may exist is transitory. That single changed assumption is central to complexity economics, a view which is presented in detail. It is suggested that economic crises will be most effectively avoided when economists utilise methods, grounded in complexity theory, which can identify threat in an early stage. As a programmatic example, the use of Agent-Based Models (ABMs) combined with Boolean networks (BNs), is defended as a promising method for recognising vulnerability.
Clarifying “ Disorder ” in Attachment : An Overview

In the past decade, attachment theory has undergone an intense expansion of both its original scientific foundations as well as its applications to clinical work. Bowlby’s original description occurred during a period of behaviorism and then an emphasis on secure base behaviors gave way to dominance of cognitive perspectives. The article then describes another model that draws from both these theories and integrates a psychopathological component of attachment using a developmental and information processing perspective. The discussion leads to the role of trauma and the inherent omission from the Diagnostic and Statistical Manual of Mental Disorders (DSM-V, 2013) criteria for reactive attachment disorder (RAD) even though empirical work has documented the significant and negative impact this has on the development of RAD. The shift moves from the pathology within the individual child to the caregiver’s inability to mentalize or provide a safe environment; the latter constitutes as a type of ‘trauma’ and has been shown to have neurological effects responsible for secure attachment in the child.
Evaluation of control systems for automated aircraft wing manufacturing

The Boeing Company is looking to bring aircraft manufacturing technology into the 21 century. As part of this process, several projects have been started to develop the technologies required to achieve Boeing’s vision for the future of aircraft manufacturing. To date, much of this work has focused on hardware, including robotic and other automation technologies. However, in order to use this hardware, a significant effort must also be made in the area of factory control and coordination. This thesis advances knowledge in this area by evaluating the suitability of different control system approaches for aircraft wing box assembly. First, general classes of control systems are discussed and several criteria are proposed for evaluating their performance in an aircraft manufacturing environment. The current wing box assembly process is then examined in order to develop simplified but representative task networks to which various algorithms can be applied. The Tercio algorithm, developed at MIT, is used to generate schedules for several problem structures of interest in order to characterize the algorithm’s performance in this context. The Tercio algorithm is then benchmarked against the Aurora scheduling tool, showing that Tercio can generate more efficient schedules than Aurora, but at the cost of increased computation time. Next, management considerations with respect to product design, manufacturing technology development, and implementation associated with advanced manufacturing technologies are discussed. Finally, recommendations are provided for how Boeing can accelerate the development of useful and practical advanced, automated manufacturing systems. Thesis Supervisor: Julie A. Shah Title: Boeing Assistant Professor of Aeronautics and Astronautics Thesis Supervisor: Roy E. Welsch Title: Eastman Kodak Leaders for Global Operations Professor of Management
PLoRa: a passive long-range data network from ambient LoRa transmissions

This paper presents PLoRa, an ambient backscatter design that enables long-range wireless connectivity for batteryless IoT devices. PLoRa takes ambient LoRa transmissions as the excitation signals, conveys data by modulating an excitation signal into a new standard LoRa "chirp" signal, and shifts this new signal to a different LoRa channel to be received at a gateway faraway. PLoRa achieves this by a holistic RF front-end hardware and software design, including a low-power packet detection circuit, a blind chirp modulation algorithm and a low-power energy management circuit. To form a complete ambient LoRa backscatter network, we integrate a light-weight backscatter signal decoding algorithm with a MAC-layer protocol that work together to make coexistence of PLoRa tags and active LoRa nodes possible in the network. We prototype PLoRa on a four-layer printed circuit board, and test it in various outdoor and indoor environments. Our experimental results demonstrate that our prototype PCB PLoRa tag can backscatter an ambient LoRa transmission sent from a nearby LoRa node (20 cm away) to a gateway up to 1.1 km away, and deliver 284 bytes data every 24 minutes indoors, or every 17 minutes outdoors. We also simulate a 28-nm low-power FPGA based prototype whose digital baseband processor achieves 220 μW power consumption.
Real-Time Mouth Defects Detection on Military Cartridge Cases

A military cartridge includes four elements; case, capsule, ammunition and powder. While manufacturing, defects may occur in the case. These defects should be detected and the defected cases should be separated. Defects could occur in the mouth, surface and primer parts of the case. This paper proposes the methodology that involves the real-time inspection of the defects in the mouth part of the cases using image processing techniques. The algorithms of the proposed methodology were implemented on real images and the obtained results have showed that common defects such as split and dent defects occurring on the mouth part of the case can be detected with high accuracy.