Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Substrate Integrated Waveguide (SIW) Antenna

The cavity-backed slots SIW antenna that suitable with planar devices is designed, simulated, implemented, and measured. The design is about of two forms of a slotted cavity at bottom side, but the microstrip line is fed at top side. The feeding line and the cavity-backed slots can be implemented on a single substrate using standard printed circuit board (PCB) process. The idea is to merge specific slot models on the cavity back side such as lateraled and meandered slots. An SIW antenna is presented, the simulation results show a 6.35 dB gain, 7.3 dB directivity, and -0.9512 dB (80.33 %) radiation efficiency, and the measurements show that the reflection coefficient (S11) at 10.2 GHz is -37.23 dB with a bandwidth of 345 MHZ (3.38 %). The combination of cavity-back slots, planar feeding, and SIW antenna design, leads to light weight, size reduction, easy implementation, and simple integration with planar circuits.
Enhancing Photodynamic Therapy through Resonance Energy Transfer Constructed Near‐Infrared Photosensitized Nanoparticles

Photodynamic therapy (PDT) is an important cancer treatment modality due to its minimally invasive nature. However, the efficiency of existing PDT drug molecules in the deep‐tissue‐penetrable near‐infrared (NIR) region has been the major hurdle that has hindered further development and clinical usage of PDT. Thus, herein a strategy is presented to utilize a resonance energy transfer (RET) mechanism to construct a novel dyad photosensitizer which is able to dramatically boost NIR photon utility and enhance singlet oxygen generation. In this work, the energy donor moiety (distyryl‐BODIPY) is connected to a photosensitizer (i.e., diiodo‐distyryl‐BODIPY) to form a dyad molecule (RET‐BDP). The resulting RET‐BDP shows significantly enhanced absorption and singlet oxygen efficiency relative to that of the acceptor moiety of the photosensitizer alone in the NIR range. After being encapsulated with biodegradable copolymer pluronic F‐127‐folic acid (F‐127‐FA), RET‐BDP molecules can form uniform and small organic nanoparticles that are water soluble and tumor targetable. Used in conjunction with an exceptionally low‐power NIR LED light irradiation (10 mW cm−2), these nanoparticles show superior tumor‐targeted therapeutic PDT effects against cancer cells both in vitro and in vivo relative to unmodified photosensitizers. This study offers a new method to expand the options for designing NIR‐absorbing photosensitizers for future clinical cancer treatments.
Microchannel Fabrication Using A Photo-Patternable Adhesive Material for Recording Conformational Changes of KcsA Channel with the Diffracted X-ray Tracking Method

Diffracted X-ray tracking (DXT) method can trace conformational changes of KcsA potassium ion channel during gating by recording position of diffraction spot from a gold nanocrystal attached to the channel as a movie. For high-resolution imaging under controlled microenvironments for KcsA channels, we report a microfluidic device consisting of two SiN membrane windows bonded with a photo patternable adhesive material. The reduced signal-to-background ratio as well as suitable adhesive material thickness for the microchannel are discussed in the experiment at the synchrotron radiation facility.
Advanced Welding Materials and Technologies for Repair of Turbine Engine Components Manufactured of High Gamma Prime Nickel Based Superalloys

The current study reports on modification of conventional welding materials with titanium, boron and silicon to enhance weldability by reducing the solidus temperature and promoting the formation of low temperature eutectics. Melting behavior, weld microstructure, tensile and stress rupture strength are reported for several alloy compositions. Some examples of repairs of IGT and aero HPT blades using the materials and technologies are provided.
A SNARC-like effect for music tempo

The Spatial Numerical Association of Response Codes (SNARC) suggests the existence of an association between number magnitude and response position, with faster left-hand responses to small numbers and faster righthand responses to large numbers (Dehaene, Bossini, & Giraux, 1993). Moreover, Rusconi, Kwan, Giordano, Umilta, & Butterworth (2006) showed that the internal representation of pitch height is spatially organized, especially in participants with formal musical education (i.e., Spatial Musical Association of Response Codes: the SMARC effect). In the present study we investigated whether a similar association exists between music tempo (beats per minutes) and the spatial position of response execution. Participants were all musically untrained persons. To test our hypothesis they performed both an order-relevant task (i.e., time comparison task) and an order-irrelevant task (i.e., timbre judgment task). Results showed a global trend with faster left-hand responses to slower beat sequences and faster right-hand responses to faster beat sequences. From this evidences we can finally conclude that a SNARC-like effect exists for music tempo similar as for pitch height and numbers.
Pharmaceutical Particle Engineering via Nano Spray Drying - Process Parameters and Application Examples on the Laboratory-Scale

Spray drying plays a crucial role in the processing of pharmaceutical products such as pills, capsules, and tablets as it is used to convert drug-containing liquids into dried powdered forms. Nano spray drying is in particular used to improve drug formulation by encapsulating active ingredients in polymeric wall materials for protection and delivering the drugs to the right place and time in the body. The nano spray dryer developed in the recent years extends the spectrum of produced powder particles to the submicronand nanoscale with very narrow size distributions and sample quantities in the milligram scale at high product yields. This enables the economical use of expensive active pharmaceutical ingredients and pure drugs. The present paper explains the concept of nano spray drying in the laboratory-scale and discusses the influence of the main process parameters on the final powder properties like particle size, morphology, encapsulation efficiency, and drug loading. Application results of nano spray drying for the formulation and encapsulation of different drugs are reviewed.
Gaps in Transgender Medicine Content Identified Among Canadian Medical School Curricula

Abstract Purpose: The transgender community is a diverse group that requires unique consideration in the healthcare setting. However, several studies have suggested that their needs are not currently being met by our medical system. Although the reason for this discrepancy is likely multifactorial, inadequate training of healthcare professionals to manage this population has been cited as a contributing factor. Methods: To evaluate the role that Canadian medical schools play in addressing these proposed deficits, program administrators were invited to provide curricular information detailing their delivery of transgender health, and medical students were surveyed to assess the impact of current curricula on their knowledge, attitudes, and experiences with regard to transgender health. Results: Six of fourteen schools provided curricular information about their instruction in transgender health and wide variation was found; 255/1152 University of British Columbia (UBC) students and 155/2358 students from eight other Canadian medical schools responded to the survey. Greater than 95% of responders agreed that transgender issues are important and should be addressed by physicians. However, fewer than 10% of students felt that they were sufficiently knowledgeable to do so. At UBC, there was no significant improvement in the self-reported knowledge levels after receiving the transgender-related curricula, and only 24% of students felt the topic was proficiently taught. Conclusion: This study showed that the majority of students who responded do not feel comfortable addressing the needs of transgender individuals in a healthcare setting and suggests that a reevaluation of related curricula may be warranted.
Recurrent DICER1 hotspot mutations in endometrial tumours and their impact on microRNA biogenesis

DICER1 plays a critical role in microRNA (miRNA) biogenesis. Recurrent somatic 'hotspot' mutations at the four metal‐binding sites within the RNase IIIb domain of DICER1 were identified in ovarian sex cord‐stromal tumours and have since been described in other paediatric tumours. In this study, we screened the RNase IIIb domain of DICER1 in 290 endometrial tumours and identified six cases with hotspot mutations, including two cases affected by an atypical G1809R mutation directly adjacent to a metal‐binding site. Using Illumina and Sanger targeted resequencing, we observed and validated biallelic DICER1 mutations in several cases with hotspot mutations. Through in vitro DICER1 cleavage assays, small RNA deep sequencing and real‐time PCR, we demonstrated that mutations adding a positively charged side chain to residue 1809 have similar detrimental effects on 5p miRNA production to mutations at the metal‐binding sites. As expected, 5p miRNAs were globally reduced in tumours and cell lines with hotspot mutations. Pathway analysis of gene expression profiles indicated that genes de‐repressed due to loss of 5p miRNAs are strongly associated with pathways regulating the cell cycle. Using a Dicer1‐null mouse cell line model, we found that expression of DICER1 hotspot mutants promoted cell proliferation, whereas wild‐type (WT) DICER1 inhibited cell proliferation. Furthermore, targets of let‐7 family miRNAs are enriched among the up‐regulated genes, suggesting that loss of let‐7 may be impacting downstream pathways. Our results reveal that DICER1 hotspot mutations are implicated in common malignancies and may constitute a unique oncogenic pathway. Copyright © 2015 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Determination of energy barrier distributions of magnetic nanoparticles by temperature dependent magnetorelaxometry

We present a new method for the characterization of magnetic nanoparticles based on the analysis of the dependence of the Néel relaxation signal on the sample temperature. In contrast to the established characterization methods, the new method directly delivers the energy barrier distribution of the magnetic system (in the case of ferrofluid particles or their aggregates). A water based ferrofluid consisting of magnetic nanoparticles with an iron oxide core and a shell of carboxydextran has been magnetically fractionated and immobilized and the fractions have been investigated in a temperature range from 77 to 350 K. The influence of the fractionation process on the distribution of the energy barriers of the particle system has been studied qualitatively.
A New Joint Timing and Channel Estimation Method for Block Transmission UWB Systems

In this paper, a new joint timing and channel estimation scheme is proposed for orthogonal frequency division multiplexing and single carrier block transmission ultra-wideband (UWB) systems. In particular, a new preamble pattern is used for both coarse timing and channel estimation. Despite of the presence of coarse timing error, the estimated channel impulse response (CIR) is simply the cyclic shifted version of the real CIR, thanks to the unique structure of the preamble. Then a new method is proposed to search for the first channel tap in the CIR vector, which can be employed to fine tune the timing position and adjust the channel estimation for later data block detection. The proposed scheme has low complexity, saves preamble overhead by performing joint synchronization and channel estimation, and outperforms existing timing acquisition methods in the literature by a large margin in dense multipath UWB channels. Moreover, this paper presents an analysis of the effect of residual timing error on the performance of single carrier systems with frequency domain equalization.
Identifying Tweets with Implicit Entity Mentions

ALEX, ADARSH. M.S., Department of Computer Science and Engineering, Wright State University, 2016. Identifying Tweets with Implicit Entity Mentions Social networking sites like Twitter and Facebook have become a significant source of user-generated content in the past decade. Mining of this user-generated content has proved beneficial for a broad range of applications like Event Extraction, Document Retrieval, and Sentiment Analysis. Identifying entities is one of the major tasks that fuel important information for above tasks. Identification of entities is typically performed in two steps; Named Entity Recognition (NER) and Entity Linking. State of the art NER solutions focus on recognizing the entities that are mentioned explicitly in social media posts. However, entities are frequently mentioned implicitly in them. For example, the tweet ‘Didn’t know that its the same actress in Fault in our stars and Divergent. ’ contains explicit references to movies Fault in our stars and Divergent while it implicitly refers to actress Shailene Woodley. Spotting and classifying tweets with such implicit entity mentions (i.e. recognize that above tweet has implicit entity of type ACTRESS) is the initial step towards identifying the implicit mention of Shailene Woodley in this tweet. In this thesis, we propose a two step semantic driven approach to address the spotting and typing of implicit entity mentions in text. Specifically, we answer two research questions in this thesis: 1. How to find tweets that have implicit entity mentions of a given type? 2. What features help to distinguish tweets with implicit entity mentions from tweets with explicit entity mentions and tweets with no entity mentions at all? We answer the first question by developing a technique to find semantic cues that indicate the presence of implicit entity mentions in tweets. The second research question is answered by exploiting the syntactic features of the tweets, along with semantic features extracted from crowd-sourced knowledge bases like Wikipedia and DBpedia, to determine whether a tweet has an implicit entity mention or not. We evaluate our approach by creating a gold standard dataset for two domains namely movies and books.
Capacity Analysis of Coexisting TD-SCDMA / WCDMA Systems

This paper investigates the feasibility of coexistence of co-channel time division synchronous code-division multiple access (TD-SCDMA) and wideband code division multiple access (WCDMA) systems operating in a macro cell environment. A Monte-Carlo simulation is performed for a TD-SCDMA network, a WCDMA network, and the coexistence network comprising both systems for both the uplink and downlink. The impact of eight interference modes is considered. The pole capacity in each case is calculated and compared with each other. From the comparison and analysis, it is found that the combined system can achieve comparable performance to that of the individual systems, and the WCDMA cells and TD-SCDMA cells can effectively share the same spectrum resources.
Russell bodies: a general response of secretory cells to synthesis of a mutant immunoglobulin which can neither exit from, nor be degraded in, the endoplasmic reticulum

Dilated cisternae of the ER resembling Russell Bodies (RBs) are induced in light (L) chain producing myeloma cell lines by transfection of a mu heavy (H) chain gene lacking the first constant domain (mu delta CH1). RBs do not appear to be tissue specific, since they are also induced in a rat glioma cell line transfected with mu delta CH1 and L chain genes. Efficient RB biogenesis requires H-L assembly and polymerization. The mutant Ig is partially degraded in a pre-Golgi compartment. The remnant, however, becomes an insoluble lattice when intersubunit disulphide bonds are formed. The resulting insoluble aggregate accumulates in RBs. Replacing the COOH-terminal cysteine of mu delta CH1 chains with alanine reverses the RB-phenotype: the double mutant mu ala delta CH1 chains assemble noncovalently with L and are secreted as H2L2 complexes. Similarly, secretion of mu delta CH1 chains can be induced by culturing transfectant cells in the presence of reducing agents. The presence of RBs does not alter transport of other secretory or membrane molecules, nor does it affect cell division. Resident proteins of the ER and other secretory proteins are not concentrated in RBs, implying sorting at the ER level. Sorting could be the result of the specific molecular structure of the insoluble lattice. We propose that RBs represent a general response of the cell to the accumulation of abundant, nondegradable protein(s) that fail to exit from the ER.
Unfolding Semantics of the Untyped {\lambda}-Calculus with letrec

In this thesis we investigate the relationship between finite terms in λletrec, the λ-calculus with letrec, and the infinite λ-terms they express. We say that a λletrec-term expresses a λ-term if the latter can be obtained as an infinite unfolding of the former. Unfolding is the process of substituting occurrences of function variables by the right-hand side of their definition. We consider the following questions: (i) How can we characterise those infinite λ-terms that are λletrec-expressible? (ii) given two λletrec-terms, how can we determine whether they have the same unfolding? (iii) given a λletrec-term, can we find a more compact version of the term with the same unfolding? To tackle these questions we introduce and study the following formalisms: ○ a rewriting system for unfolding λletrec-terms into λ-terms ○ a rewriting system for ‘observing’ λ-terms by dissecting their term structure ○ higher-order and first-order graph formalisms together with translations between them as well as translations from and to λletrec We identify a first-order term graph formalism on which bisimulation preserves and reflects the unfolding semantics of λletrec and which is closed under functional bisimulation. From this we derive efficient methods to determine whether two terms are equivalent under infinite unfolding and to compute the maximally shared form of a given λletrec-term.
The state problem for test generation in Simulink

Search based test-data generation has proved successful for code-level testing. In this paper we investigate the application of such approaches at the higher levels of abstraction offered by Matlab-Simulink models. The presence of persistent state has been shown to be problematic at the code level and such difficulties remain when Matlab-Simulink models are to be tested. In such cases, sequences of inputs that can put the model under test into particular states are needed to enable the underlying test goals to be achieved. Simple search guidance appears to be insufficient and results in a 'flat' cost function landscape. To address this problem, we introduce a technique called tracing and deducing, which helps provide better guidance to the search, allowing our developed tools to home in on the targeted test-data.
Huoxue Rongluo Tablet reduces matrix metalloproteinase-9 expression in infarcted brain tissue

Huoxue Rongluo Tablet was made of tall gastrodis tuber, dahurian angelica root, honeysuckle stem, grassleaf sweetflag rhizome, common flowering quince fruit, figwort root, red peony root and peach seed at a ratio of 3:2:6:2:3:3:3:3. Huoxue Rongluo Tablet is a well-established and common pre-scription for the treatment of cerebral infarction. In this study, a rat model of cerebral ischemia was established and the animals were intragastrically administered Huoxue Rongluo Tablet. This treat-ment reduced infarct volume, decreased matrix metalloproteinase-9 expression, and improved neurological function. Moreover, the effects of Huoxue Rongluo Tablet were better than those of buflomedil pyridoxal phosphate. These results indicate that Huoxue Rongluo Tablet is effective in treating cerebral infarction by regulating matrix metalloproteinase-9 protein expression.
Polymer Model System for Mechanosensitivity Studies: Decoupling Mechanics from Biological and Topographical Cues

Sensing of mechanical stimuli is a basic biological process that influences a variety of cell functions such as cell division, motility, morphology, proliferation and differentiation. Especially in the case of stem cells it is of great interest to control their fate with means beside biological and chemical factors. Though, the mechanisms of mechanosensation are not completely understood. Substrate stiffness is a heavily investigated parameter, but available system pose different problems that hamper clear statement on its role in cellular functionality: Variation in substrate stiffness is linked to changes in biochemical and topographical cues. Some studies characterize stiffness at length and time scales not relevant for cellular receptors. This thesis aimed at the development of a polymer model system with tunable stiffness in terms of substrate extensibility decoupled from substrate topography and density of cell adhesive motifs. This was achieved with biofunctionalized polymer brushes displaying controlled chain lengths. Unfolding of the polymer chains led to different substrate extensibilities that gave mechanical feed-back equivalent to varying stiffness. Thereby, surfaces were constantly flat and availability of the adhesion motif was controlled via grafting density. Length and functional group of the applied polymer chains were derived from the natural archetype tropoelastin the most elastic biomolecule known. Dense polymer brushes were fabricated via surface-initiated reversible addition–fragmentation chain transfer (RAFT) polymerization and mechanically characterized with atomic force microscopy (AFM) based single molecule force spectroscopy (SMFS). Contour length could be tuned via polymerization time as mapping of the polymer growth revealed a linear dependence in the investigated time range. Moreover, unfolding behavior similar to tropoelastin was observed. Roughness measurement and determination of grafting density verified substrate extensibility as the only variable parameter. For cell experiments, biofunctionalization was achieved via click reaction with bioactive peptide sequences derived from the C-terminus of tropoelastin. While functionality of the model system was validated with spreading behavior of REF52 cells dependent on substrate extensibility, hematopoietic stem/progenitor cells (HSPCs) displayed no changes in proliferation or differentiation. In summary, a new model system for mechanosensitivity studies was established with tunable contour length that could be easily correlated to lengths of other proteins or cell compartments, which opens up new possibilities for interesting future studies.
Nonlinear dictionary learning based deep neural networks

In this paper, we demonstrate nonlinear features extracted by deep neural network have better results in the task of dictionary learning. A nonlinear dictionary learning model is constructed and the optimization algorithm is developed. In the learning algorithm, we use the deep neural network to convey raw samples to feature space and learn a nonlinear dictionary. The extensive experimental results of classification on some benchmark dataset show the proposed nonlinear dictionary significantly improves the classification performance.
October2003 Sampling and Filtering Techniques for Ip Packet Selection

This document describes sampling and filtering techniques for IP packet selection. In two information models (one for sampling, one for filtering) it defines what parameters are needed to describe the most common selection schemes and shows how techniques can be combined to build more elaborate packet selectors. The information models are used for configuring the selection technique in measurement processes and for reporting the technique in use to a collector