Miracle-dz/UniFAR-FTUs huggingface dataset:
Engineering Probiotic E. Coli With a Type III Secretion System for Targeted Delivery of Therapeutic VHH

To combat severe disease manifestations in the gut from both pathogenic and autoimmune insults, we are engineering probiotic microbes to release therapeutics into the gut as a novel method of treatment delivery. A bacterial protein delivery system was designed based upon the Shigella flexneri type III secretion system (T3SS) to secrete therapeutic proteins both inside and in the vicinity of mammalian cells. The T3SS is a nanomachine that traditionally delivers effector proteins into the host cell to mediate pathogenesis. Fusion of a type III effector secretion sequence to therapeutic proteins results in variants that are recognized as secreted substrates. We recently developed probiotic E. coli strains that express a T3SS. These probiotic T3SS competent E. coli strains can deliver therapeutic proteins modified with type III secretion signals into host cells. This work describes the development of engineered probiotic T3SS competent E. coli that can secrete VHH proteins. VHH are therapeutic antibody fragments that effectively bind and block activity of target antigens. We demonstrate that DH10B E. coli can use the T3SS to directly secrete VHH, modified with the OspC3 effector secretion sequence, into mammalian cells. These bacteria successfully deliver a variety of VHHs, including those that bind to inflammasome ASC protein and a heterotetrameric VHH-based neutralizing agent (VNA) designed to neutralize Shiga toxin (Stx). A remaining question is whether VHH or VNA secreted via the T3SS maintain their function. If evidence indicates αASC VHH
Acoustic loss in langasite and langanite

Resonant ultrasonic loss Q/sup -1/ in plano-convex unplated Y-cut disks of langasite and langanite was measured as a function of frequency and temperature with the aim of identifying dominant internal mechanisms that will degrade the performance of electronic oscillators. In both materials, the dependence on temperature is similar to that previously reported for langatate. An anelastic peak appears with maxima in the 150-280 K range at frequencies between 2 MHz and 14 MHz. The dependencies of this peak on temperature and frequency is consistent with a point-defect relaxation. The width of the peak is greater than that of a Debye peak, which indicates that the relaxation has a distribution of activation energies. The peak appears at higher temperatures in langasite than in langatate, and this may explain the lower room-temperature Q/sup -1/ reported thus far in langatate. Additional anelastic peaks appear at elevated temperatures. The peaks are superimposed on a component of the loss that increases monotonically with temperature according to an approximate Arrhenius expression.
Fast optical signal detected in the prefrontal lobe with near-infrared spectroscopy during sleep

If near-infrared spectroscopy (NIRS) is to be used in clinical applications such as the localization of epileptic foci, it must be capable of recording large amplitude transients of which only a few samples are available. With this in mind, we attempted to record the NIRS correlate of isolated delta waves during normal human sleep. Largeamplitude, isolated delta waves in the electroencephalogram (EEG) were selected and the corresponding optical responses were measured. Signal-averaging trials of delta waves revealed fast optical intensity changes ranging from 0.05% to 0.3% but of unstable morphology. Measuring from the positive peak of the delta wave to the nadir of the individual optical responses, we were able to detect a latency of approximately 130 to 180 ms in 75% of the channels. Although encouraging, the results implied that the signalto-noise ratio of NIRS is not yet adequate for clinical application.
Conflicts of Interest and the Role of Financial Advisors in M&A Transactions: Empirical Evidence from the Private Equity Industry

Financial advisors play an important role in M&A transactions. Private equity (PE) firms, in turn, are highly sought-after clients for financial advisors as they promise lucrative business due to their frequent engagements in acquisitions. We find that PE firms pay, on average, less for portfolio companies when their sell-side advisor has worked for the acquiring PE firm on the buy-side in past transactions. We refer to this as indirect relationships and argue that conflicts of interest be-tween financial advisors and their clients are the main driver for our results. Strategic acquirers do not benefit from these previous indirect relationships altogether.
Design Optimization of Hybrid-Integrated 20-Gb/s Optical Receivers

This paper presents a 20-Gb/s optical receiver circuit fabricated with standard 65-nm CMOS technology. Our receiver circuits are designed with consideration for parasitic inductance and capacitance due to bonding wires connecting the photodetector and the circuit realized separately. Such parasitic inductance and capacitance usually disturb the high-speed performance but, with careful circuit design, we achieve optimized wide and flat response. The receiver circuit is composed of a transimpedance amplifier (TIA) with a DC-balancing buffer, a post amplifier (PA), and an output buffer. The TIA is designed in the shunt-feedback configuration with inductive peaking. The PA is composed of a 6-stage differential amplifier having interleaved active feedback. The receiver circuit is mounted on a FR4 PCB and wire-bonded to an equivalent circuit that emulates a photodetector. The measured transimpedance gain and 3-dB bandwidth of our optical receiver circuit is 84 dBΩ and 12 GHz, respectively. 20-Gb/s 2 31 −1 electrical pseudo-random bit sequence data are successfully received with the bit-error rate less than 10 −12 . The receiver circuit has chip area of 0.5 mm × 0.44 mm and it consumes excluding the output buffer 84 mW with 1.2-V supply voltage.
Attitude toward and Consumption of Fish in Vietnam

This study uses theory of planned behaviour (TPB) as a conceptual framework to investigate the attitude and intention toward the consumption of fish in a cross-sectional survey of Vietnamese consumers. Structural equation modelling (SEM) is used to test the reliability, validity, and relationships in the proposed model. The results show that the variation in the frequency of fish consumption is significantly explained by intention and perceived behavioural control. Intention to consume fish is significantly determined by subjective norms and attitude toward consuming fish as a meal. Perceived behavioural control is significantly related to fish consumption, but not to the intention to consume fish, indicating that there may be a difference between perceived control and actual control. At the specific-belief level, the study found that negative affect, perceived quality, and price are significant indicators that explain 60% of the variation in attitude. Perceived price, time needed to cook and prepare fish as a meal, and the availability of fresh fish are important factors explaining 63% of the variation of the perceived control over fish consumption. The study also provides some managerial implications and suggestions for the seafood sector to expand the domestic markets and gives recommendations for future research.
2 Bayesian Generalized Method of Moments 2 . 1 Generalized Linear Model

We propose the Bayesian generalized method of moments (GMM), which is particularly useful when likelihood-based methods are difficult. By deriving the moments and concatenating them together, we build up a weighted quadratic objective function in the GMM framework. As in a normal density function, we take the negative GMM quadratic function divided by two and exponentiate it to substitute for the usual likelihood. After specifying the prior distributions, we apply the Markov chain Monte Carlo procedure to sample from the posterior distribution. We carry out simulation studies to examine the proposed Bayesian GMM procedure, and illustrate it with a real data example.
Improved Model for Transmission and Interference Ranges

Transmission range (Rtx), carrier sensing range (Rcs), and interference range (Ri) are three important radio ranges in wireless networks. These parameters are defined in [1] and the authors proposed the first analytical model for the interference range based on which new protocols has been proposed [2]–[5]. In this paper, we improve on this model by relaxing some of the simplifying assumptions. A new formula for interference range is derived, where noise is not ignored as it was done in [1]. Our formula shows that interference range obtained by ignoring the noise is a good approximation, only for receivers close to the transmitter. While for receivers closer to the transmission range, which suffer from hidden terminal problem, ignoring the noise results in substantially underestimating the interference range. We also study the effect of physical layer parameters on Rtx and Ri, by introducing more general definitions for these ranges. Our study indicates that both Rtx and Ri are influenced by variations in packet size, modulation, and coding. This implies that RTS/CTS packets may have a different Rtx and Ri compared to data packets. Thus, we expect the performance analysis based on the assumption of similar Rtx and Ri for RTS/CTS and data packets, to be inaccurate. Moreover, effects of small-scale fading on Rtx and Ri for the case where fading value is constant during a packet investigated.Our case study indicates that Rayleigh fading has a negative effects on both Rtx and Ri.
CHAMPS (chemical-mechanical planarization simulator)

Simulation of chemical-mechanical polishing is important because the chip-level planarity and wafer-level uniformity dependent on many dynamic factors are difficult to control. CHAMPS (chemical mechanical planarization simulator) has been developed for predicting and optimizing the thickness distribution after the CMP process using the chip level pattern density and an elastic spring model including equipment parameters. In this work, the results of CMP simulation are shown to agree well with the measured data. This simulator can be used to optimize CMP process conditions and to generate design rules for filling dummy patterns which are used to improve planarity and uniformity.
A high resolution oxygen A-band and water vapor band spectrometer and its applications

[1] A prototype high-resolution oxygen A-band and water vapor band spectrometer (HAWS) and new theoretical framework have been developed and demonstrated to study the applicability of photon path length statistics in the remote sensing of clouds, aerosols, and water vapor, particularly in addressing current challenges such as the detection of thin layers of clouds and aerosols especially over surfaces with high albedo, reducing retrieval errors due to the presence of non-spherical particles, and enhancing the vertical resolution of retrieved atmospheric constituents. This work also provides a basis for the application of path length distribution in the development and validation of radiative transfer parameterizations that account for the effects of cloud inhomogeneity. The HAWS successfully achieves an out-of-band rejection of better than 10−5, a resolution of better than 0.5 cm−1, and high signal-to-noise ratio, which are crucial to retrieval of atmospheric information through high-resolution spectrometry in the A-band and water vapor band. A field campaign was conducted to demonstrate the capabilities of HAWS and the new retrieval algorithm at the cloud and radiation testbed at ARM SGP site in Oklahoma, where a comprehensive set of radiometric, passive, and active sensors provide continuous and concurrent measurements of clouds, aerosols, water vapor, and other atmospheric properties. Results show that in the A-band thick and multiple layer clouds significantly enhance the mean and variance of the photon path length distribution, thin cirrus condition produce relatively small mean distribution and variance, and mean path lengths comparable to or smaller than the solar airmass were associated with clear sky cases at large solar zenith angles. The mean path length and variance in the water vapor band differs from that in the A-band due to the spatial inhomogeneity of water vapor amounts, particularly in association with cloud layers.
Microfinance: Does it Hold its Promises? A Survey of Recent Literature

Poverty alleviation has been the main target of developmental projects world-wide. However, only a few ideas have stirred so much attention in the last two decades as that of the provision of microfinance through specialised institutions. This paper provides a survey of the vast literature that has developed in this field. Though most of the evidence and literature on the subject appears self-praising, nonetheless there is much more to the concept than one can imagine. The establishment of microfinance institutions (MFIs) world-wide for the provision of collateral free loans to the poor through mechanisms and instruments not known to normal commercial banks has set new milestones in the field of financial services. With 900 million households in the less developed countries left without any access to formal financial services, this might just be the key to address market failures in the financial landscape.
R-factor Prediction for Australian and the U.S. Sites Using Weather Generators

CLIGEN is a stochastic weather generator to produce daily variables to drive process-based runoff and erosion prediction models such as WEPP. Algorithms were developed to compute the R-factor, its monthly distribution, and 10-year storm erosion index (EI) needed to apply the revised Universal Soil Loss Equation (RUSLE) using stochastically generated weather variables. Measured R-factor and 10-year storm EI for 43 sites in Australia and 75 sites in the United States were used to test whether CLIGEN can be used to produce necessary climate inputs for RUSLE. It was found that R-factor calculated using CLIGEN- generated weather sequences is well related to the measured R-factor for these sites (r 2 = 0.94, n = 118). In addition, CLIGEN-generated precipitation data can be used to predict 10-year storm EI (r 2 = 0.82), and monthly distribution of rainfall erosivity for a wide range of climate environments (average discrepancy about 1.9%). CLIGEN can be used to generate a range of climate inputs for runoff and soil erosion predictions. This represents considerable improvement over existing methods to estimate climate inputs for RUSLE. Keywords: CLIGEN, WEPP, RUSLE, rainfall erosivity
Online Review Mining : Identification of Important Features and Their Satisfaction Levels of Mobile Phones

With the advancement of mobile phone technologies, recent mobile phones such as smartphones have become more sophisticated. The purpose of our study is to grasp the importance of the mobile phone features and the satisfaction of each feature in the online reviews. In order to identify the importance and satisfaction of each feature, various text analysis methods such as term frequency analysis and network analysis were used to quantify the importance of features and the degree of consumers’ emotions in the online reviews. And, we compare the results with actual survey results using conjoint analysis and analytic hierarchy process analysis. As a result, the most important feature in the conjoint analysis method was the “Display Resolution” followed by “Display Size. ” In contrast to the conjoint analysis method, the most important feature in the AHP method was “Price” followed by “Internal Memory. ” The highest correlation coefficient with conjoint analysis is 0.465, which is the correlation coefficient between STF and conjoint analysis. In contrast to the above conjoint analysis results, we found that there is almost no correlation between the three methods and AHP results. Second, we evaluate satisfaction score of each feature from the online reviews. As a result, the mobile phone features with highest satisfaction value in cluster 1 are “Camera Resolution” and “Display Resolution. ” Also, the mobile phone feature with highest satisfaction value in cluster 2 is “Camera Resolution. ”
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 Invited Paper:
 Out‐Foldable Smartphone Will Be Real?: Challenges for Developing Glass‐like Cover Plastic Films

An out-foldable smartphone is more favorable for consumers’ convenience but technologically more difficult than an in-foldable one. Particularly, for the out-foldable one, a large elongation of cover window film induced by tensile stress outside display module is required. However, it is difficult to realize the large elongation in the hard coating on the cover film. This invited paper deals with the issues of hard coating and proposes newly developed solution with high scratch-resistance for out-foldable smartphone.
Knowledge Flows, R&D Spillovers and Innovation

Knowledge flows within and across countries should be carriers of important learning spillovers. We use data on 1.5 million patents and 4.5 million citations to analyze knowledge flows across 147 subnational regions. We estimate that only 15% of average knowledge is learned outside the average region of origin, and only 9% outside the country of origin. However, knowledge in highly technological sectors flows substantially farther and knowledge generated by technological leaders does also. If compared to trade flows, knowledge flows reach much farther. Moreover, external accessible knowledge has very strong external impact on innovation for a panel of 113 European and North American regions over 22 years.
Reliability Analysis on Protection Devices Inclusion in LV Residential Distribution Network

The inclusion and arrangement of protection devices within the LV distribution network often neglected. By exemption of protection devices during network modelling, may result in overestimation of reliability performances. Detail network representation of UK LV residential model is used to assess network reliability performance. The analytical and improved Monte-Carlo Simulation (MCS) approaches are used to estimate system-related reliability indices.
Conflict Management Strategies in Higher Education Institutions: Public Sector Universities in Kpk Province, Pakistan

Conflict is a vital thing in any organization and no organization is safe from it. Higher education institutions are also not free from this. The conflict mostly takes place between the faculty and administration. Many scholars have urged that the educators must learn the conflict management skills so as to overcome it, every individual use different type of conflict styles. This research aims to cover the different conflict management strategies used by faculty and administrations of different universities of Khyber Pukhtoonkhwa including the causes of conflict, demographic characteristics of individuals concerned (age, gender, designation, experience, type of university), the nature of conflict (type and intensity) and the result of these differing styles leads to different consequences such as positive and negative effect on the planning, organizational effectiveness, job quality, creativity, decision quality, trust, anxiety, satisfaction, commitment, fear and anger. A detailed questionnaire is designed using lickerd scale in order to collect the data. Three public universities will be selected in which questionnaire will be distributed. Description, correlation and chi square are used for analysis. Key words : Conflict, management, strategies, Administration, Human resource management
Neural network conversational model for small dataset with sequence to sequence model

This Paper We Purpose Conversational Model For Specific Domain which Generates New Text for two-way conservation. Conversational Modeling is an Important Task in Machine Intelligence and Natural Language. In This Paper We Used a Recently Proposed Sequence To Sequence Model for predicting the next sentence and the previous sentence or sentences in a conversation. Conservational Model is able to extract knowledge from specific Domain and noisy DataSet. Main Dataset subtitles. Our Domain for a Conservational model is Movie Conversation Dataset. The Open-Domain Movies transcript are noisy. The expert model can perform Simple forms of common sense reasoning. Our Conversational model can be end-to-end trained and Required Changeable rules. We Expected Our Model Pass the lack of consistency in our model And Conversation Process have been successfully applied in sequence- to-sequence mapping task.
AtCLO4, a stress responsive calcium binding protein, interacts with the heterotrimeric Gα subunit in Arabidopsis thaliana.

Heterotrimeric G-proteins have been shown to be involved in plant responses to abiotic stress. Recent evidence has shown that a caleosin, RD20/AtCLO3, is involved in stomate and root responses to ABA treatment in addition to interacting with the G alpha subunit (GPA1) in Arabidopsis thaliana. The role of the other caleosin gene family members and their interaction with G-proteins still remains largely unknown. This work demonstrated the interaction of another caleosin, AtCLO4, with GPA1 by Bimolecular Fluorescence Complementation (BiFC). Phenotypic analysis of clo4 mutants showed significantly less inhibition of lateral root formation during salt and mannitol stress compared to wild type; while CLO4 gene expression was characterized in the roots by GUS staining during periods of stress. These results present a novel interaction between CLO4 and GPA1 and indicate a role for CLO4 in regulating GPA1 during periods of stress that culminate in inhibition of lateral root formation.
Seeking a Reference Frame for Cartographic Sonification

Sonification of geospatial data must situate data values in two (or three) dimensional space. The need to position data values in space distinguishes geospatial data from other multi-dimensional data sets. While cartographers have extensive experience preparing geospatial data for visual display, the use of sonification is less common. Beyond availability of tools or visual bias, an incomplete understanding of the implications of parameter mappings that cross conceptual data categories limits the application of sonification to geospatial data. To catalyze the use of audio in cartography, this paper explores existing examples of parameter mapping sonification through the framework of the geographic data cube. More widespread adoption of auditory displays would diversify map design techniques, enhance accessibility of geospatial data, and may also provide new perspective for application to non-geospatial data sets.
Stellar coronagraphy with prolate apodized circular apertures

This paper generalizes to circular apertures the theoretical study of stellar coronagraphy with prolate apodized rectangular entrance apertures of Aime et al. (2002). The main difference between the two studies is that circular prolate spheroidal functions are used for a circular aperture instead of linear prolate spheroidal functions for rectangular apertures. Owing to the radial property of the problem, the solution to the general equation for coronagraphy is solved using a Hankel transform instead of a product of Fourier transforms in the rectangular case. This new theoretical study permits a better understanding of coronagraphy, stressing the importance of entrance pupil apodization. A comparison with the classical unapodized Lyot technique is performed: a typical gain of 10 4 to 10 6 can be obtained theoretically with this technique. Circular and rectangular apertures give overall comparable results: a total extinction of the star light is obtained for Roddier & Roddier's phase mask technique whilst optimal starlight rejections are obtained with a Lyot opaque mask. A precise comparison between a circular aperture and a square aperture of same surface favors the use of a circular aperture for detection of extrasolar planets.