Miracle-dz/UniFAR-FTUs huggingface dataset:
The Rate of Internalization of the Gonadotropin Receptors Is Greatly Affected by the Origin of the Extracellular Domain*

Previous results from this laboratory have shown that human kidney (293) cells transfected with the rat follitropin receptor (rFSHR) internalize agonist (i.e. human follitropin, hFSH) at a rate similar to that of other agonist-G protein-coupled receptor complexes while 293 cells transfected with the rat lutropin/choriogonadotropin receptor (rLHR) internalize agonist (human choriogonadotropin, hCG) at a rate that is about 1 order of magnitude slower. Taking advantage of this difference and the high degree of homology between the rLHR and rFSHR, we have now used chimeras of these two receptors to begin to delineate structural features that influence their internalization. Analysis of six chimeras that exchanged only the transmembrane domains (designated FLF and LFL), only the COOH-terminal domains (FFL or LLF) or both domains (FLL or LFF) show that the origin of the extracellular domain is at least as important, if not more, than the origin of the transmembrane and COOH-terminal domains in determining the rate of internalization of the gonadotropin receptors. Thus, the rates of internalization of agonist internalization mediated by FFL, FLF, and FLL more closely resemble rFSHR than rLHR, while the rates of agonist internalization mediated by LLF, LFL, and LFF more closely resemble rLHR than rFSHR. The importance of the extracellular domain was also evident even upon overexpression of arrestin-3, a protein that enhances the rate of internalization of the wild-type receptors and chimeras by binding to their intracellular regions.
A multistrategy approach to improving pronunciation by analogy

Pronunciation by analogy (PbA) is a data-driven method for relating letters to sound, with potential application to next-generation text-to-speech systems. This paper extends previous work on PbA in several directions. First, we have included full pattern matching between input letter string and dictionary entries, as well as including lexical stress in letter-to-phoneme conversion. Second, we have extended the method to phoneme-to-letter conversion. Third, and most important, we have experimented with multiple, different strategies for scoring the candidate pronunciations. Individual scores for each strategy are obtained on the basis of rank and either multiplied or summed to produce a final, overall score. Five strategies have been studied and results obtained from all 31 possible combinations. The two combination methods perform comparably, with the product rule only very marginally superior to the sum rule. Nonparametric statistical analysis reveals that performance improves as more strategies are included in the combination: this trend is very highly significant (p < 0:0005). Accordingly for letter-to-phoneme conversion, best results are obtained when all five strategies are combined: word accuracy is raised to 65.5 relative to 61.7 for our best previous result and 63.0 for the best-performing single strategy. These improvements are very highly significant (p 0 and p < 0:00011 respectively). Similar results were found for phoneme-to-letter and letter-to-stress conversion, although the former was an easier problem for PbA than letter-to-phoneme conversion and the latter was harder. The main sources of error for the multistrategy approach are very similar to those for the best single strategy, and mostly involve vowel letters and phonemes.
Comparison of the metabolic responses to ingestion of hydrothermally processed high-amylopectin content maize, uncooked maize starch or dextrose in healthy individuals

Optimal carbohydrate ingestion strategies as nutritional therapy for glycogen storage diseases have not been fully realised, in part, due to difficulties in accessing patient cohorts, alongside limited details on metabolic effects and insight into working mechanisms. The present pilot study compared glycaemic and fuel oxidation responses following the ingestion of a hydrothermally processed maize starch (HPMS), an uncooked maize starch (UCMS) and maize-derived dextrose (DEX) at rest and during and after exercise in healthy individuals. A total of eight participants (seven males and one female; body mass (BM) 76·9 (sem 5·2) kg) visited the laboratory on three occasions. During each visit, the participants ingested 1 g/kg BM of HPMS (Glycosade™), UCMS (Argo™) or DEX as a 10 % solution. Blood samples were collected over a 2 h rest period and for 2 h after a 60 min treadmill run at 65 (sem 1) % VO2max. Mean values with their standard errors were analysed using repeated-measures ANOVA. Blood glucose concentrations under the HPMS condition were significantly elevated from resting values at 90 min (P= 0·02) after ingestion compared with those under the UCMS (60 min; P= 0·02) and DEX (30 min; P= 0·001) conditions. The rate of carbohydrate use during exercise after the ingestion of HPMS was 7–9 % lower compared with that after the ingestion of either DEX or UCMS (P< 0·05). The total amount of lipids oxidised during exercise was greater under the HPMS condition (26·2 (sem 2·8) g) compared with that oxidised under the UCMS (19·6 (sem 2·7) g; P= 0·04) or DEX (20·6 (sem 3·6) g; P= 0·07) condition. The results demonstrated a glycaemic advantage to the ingestion of HPMS over that of UCMS or DEX. Carbohydrate oxidation was reduced after the ingestion of HPMS compared with that after the ingestion of UCMS or DEX, with a corresponding higher rate of endogenous lipid use during exercise.
Simulations of implosions with a 3D, parallel, unstructured-grid, radiation-hydrodynamics code

An unstructured-grid, radiation-hydrodynamics code is used to simulate implosions. Although most of the problems are spherically symmetric, they are run on 3D, unstructured grids in order to test the code�s ability to maintain spherical symmetry of the converging waves. Three problems, of increasing complexity, are presented. In the first, a cold, spherical, ideal gas bubble is imploded by an enclosing high pressure source. For the second, we add non-linear heat conduction and drive the implosion with twelve laser beams centered on the vertices of an icosahedron. In the third problem, a NIF capsule is driven with a Planckian radiation source.
A transformed input-domain approach to fuzzy modeling

This paper presents an explanation of a fuzzy model considering the correlation among components of input data. Generally, fuzzy models have a capability of dividing an input space into several subspaces compared to a linear model. But hitherto suggested fuzzy modeling algorithms have not taken into consideration the correlation among components of sample data and have addressed them independently, which results in an ineffective partition of the input space. In order to solve this problem, this paper proposes a new fuzzy modeling algorithm, which partitions the input space more effectively than conventional fuzzy modeling algorithms by taking into consideration the correlation among components of sample data. As a way to use the correlation and divide the input space, the method of principal component is used. Finally, the results of the computer simulation are given to demonstrate the validity of this algorithm.
Rupture-Associated Changes of Cerebral Aneurysm Geometry: High-Resolution 3D Imaging before and after Rupture

BACKGROUND AND PURPOSE: Comparisons of geometric data of ruptured and unruptured aneurysms may yield risk factors for rupture. Data on changes of geometric measures associated with rupture are, however, sparse, because patients with ruptured aneurysms rarely have undergone previous imaging of the intracranial vasculature. We had the opportunity to assess 3D geometric differences of aneurysms before and after rupture. The purpose of this study was to evaluate possible differences between prerupture and postrupture imaging of a ruptured intracranial aneurysm. MATERIALS AND METHODS: Using high-quality 3D image data, we generated 3D geometric models before and after rupture and compared these for changes in aneurysm volume and displacement. A neuroradiologist qualitatively assessed aneurysm shape change, the presence of perianeurysmal hematoma, and subsequent mass effect exerted on aneurysm and parent vessels. RESULTS: Aneurysm volume was larger in the postrupture imaging in 7 of 9 aneurysms, with a median increase of 38% and an average increase of 137%. Three aneurysms had new lobulations on postrupture imaging; 2 other aneurysms were displaced up to 5 mm and had changed in geometry due to perianeurysmal hematoma. CONCLUSIONS: Geometric comparisons of aneurysms before and after rupture show a large volume increase, origination of lobulations, and displacement due to perianeurysmal hematoma. Geometric and hemodynamic comparison of series of unruptured and ruptured aneurysms in the search for rupture-risk-related factors should be interpreted with caution.
An algorithm for linear programming which requires O(((m+n)n2+(m+n)1.5n)L) arithmetic operations

AbstractWe present an algorithm for linear programming which requires O(((m+n)n2+(m+n)1.5n)L) arithmetic operations wherem is the number of constraints, andn is the number of variables. Each operation is performed to a precision of O(L) bits.L is bounded by the number of bits in the input. The worst-case running time of the algorithm is better than that of Karmarkar's algorithm by a factor of $$\sqrt {m + n} $$ .
Increasing patient adherence to gastroenterology treatment and prevention regimens

Many gastroenterology treatments would be minimally effective if patients did not adhere to prescribed therapeutic regimens. However, considerable evidence exists that patients often do not adhere. Factors associated with nonadherence include the physician's or other health care provider's behavior, the prescribed regimen, and the illness. These factors affect patient adherence such that: 1) patients do not have the skills or knowledge necessary to complete an assignment; 2) patients do not believe that they will be helped by the prevention or intervention activity, or they do not accept the activity because they do not believe that its value will outweigh its costs; and 3) patients’ environments are not supportive of, or interfere with, adherence. Strategies that can increase adherence include attention to the physician/patient relationship, direct skill training, setting up a reward structure, and reminders, among others. Specific methods that gastroenterology health care providers can utilize to enhance adherence in their practice are presented.
Field-Evolved Resistance in Corn Earworm to Cry Proteins Expressed by Transgenic Sweet Corn

Background Transgenic corn engineered with genes expressing insecticidal toxins from the bacterium Bacillus thuringiensis (Berliner) (Bt) are now a major tool in insect pest management. With its widespread use, insect resistance is a major threat to the sustainability of the Bt transgenic technology. For all Bt corn expressing Cry toxins, the high dose requirement for resistance management is not achieved for corn earworm, Helicoverpa zea (Boddie), which is more tolerant to the Bt toxins. Methodology/Major Findings We present field monitoring data using Cry1Ab (1996–2016) and Cry1A.105+Cry2Ab2 (2010–2016) expressing sweet corn hybrids as in-field screens to measure changes in field efficacy and Cry toxin susceptibility to H. zea. Larvae successfully damaged an increasing proportion of ears, consumed more kernel area, and reached later developmental stages (4th - 6th instars) in both types of Bt hybrids (Cry1Ab—event Bt11, and Cry1A.105+Cry2Ab2—event MON89034) since their commercial introduction. Yearly patterns of H. zea population abundance were unrelated to reductions in control efficacy. There was no evidence of field efficacy or tissue toxicity differences among different Cry1Ab hybrids that could contribute to the decline in control efficacy. Supportive data from laboratory bioassays demonstrate significant differences in weight gain and fitness characteristics between the Maryland H. zea strain and a susceptible strain. In bioassays with Cry1Ab expressing green leaf tissue, Maryland H. zea strain gained more weight than the susceptible strain at all concentrations tested. Fitness of the Maryland H. zea strain was significantly lower than that of the susceptible strain as indicated by lower hatch rate, longer time to adult eclosion, lower pupal weight, and reduced survival to adulthood. Conclusions/Significance After ruling out possible contributing factors, the rapid change in field efficacy in recent years and decreased susceptibility of H. zea to Bt sweet corn provide strong evidence of field-evolved resistance in H. zea populations to multiple Cry toxins. The high adoption rate of Bt field corn and cotton, along with the moderate dose expression of Cry1Ab and related Cry toxins in these crops, and decreasing refuge compliance probably contributed to the evolution of resistance. Our results have important implications for resistance monitoring, refuge requirements and other regulatory policies, cross-resistance issues, and the sustainability of the pyramided Bt technology.
ROLE OF ENDOPHYTE CHAETOMIUM GLOBOSUM LK 4 IN GROWTH OF CAPSICUM ANNUUM BY PRODUCION OF GIBBERELLINS AND INDOLE ACETIC ACID

Endophytic fungi represent a trove of unexplored natural source of plant hormones like gibberellins (GAs) and indoleacetic acid (IAA). In present study, we isolated eight endophytes from the roots of drought stressed pepper (Capsicum annuum L.) plants. To assess phytohormones secreting potential, culture filtrates (CF) of endophytes were screened on GAs biosynthesis mutant Waito-C rice. Endophyte CAC-1G significantly promoted the shoot growth, chlorophyll content and biomass of Waito-C rice seedlings as compared with CF of Fusarium fujikuroi and distilled water. CAC-1G was identified as strain of Chaetomium globosum LK4 by sequencing internal transcribed spacer regions and phylogenetic analysis of similar sequences. The CF analysis of C. globosum showed the presence of GAs (GA1 0.67±0.13 ng/ml; GA4 21.8±1.2 ng/ml; GA9 0.51±0.11 ng/ml; GA1213.4±0.41 ng/ml; GA20 1.11±0.2 ng/ml) and IAA (16.71+1.42 μg/ml). The CF of C. globosum had higher GA4, GA12 and GA20 than the CF of F. fujikuroi. The CF containing propagules of C. globosum was applied to the host-pepper plants. The results revealed significantly higher shoot growth, chlorophyll content, plant biomass and leaf area as compared to fungal-free medium and water applied plants. The present results of C. globosum can be reciprocated for improved plant growth and yield at field levels.
Design and Implementation of a Two-Channel Interleaved Vienna-Type Rectifierbr With >99% Efficiency

In this paper, the design and implementation of a 3 kW, three-phase, two-channel interleaved Vienna-type rectifier with greater than 99% efficiency is presented. The operating principle of the interleaved Vienna-type rectifier is introduced, with particular attention paid to the switching-frequency circulating current generated by the interleaved operation, as well as effective mitigation methods. An optimized design procedure for the converter is then presented to achieve maximum efficiency, for which detailed loss calculation models and hardware design guidelines are developed and introduced. Finally, experimental results obtained with a 3 kW experimental prototype are presented for validation purposes, demonstrating the 99.28% extreme efficiency attained by the converter at nominal load, in close agreement with the 99.32% predicted by the design procedure developed.
Improved diffusion imaging through SNR‐enhancing joint reconstruction

Quantitative diffusion imaging is a powerful technique for the characterization of complex tissue microarchitecture. However, long acquisition times and limited signal‐to‐noise ratio represent significant hurdles for many in vivo applications. This article presents a new approach to reduce noise while largely maintaining resolution in diffusion weighted images, using a statistical reconstruction method that takes advantage of the high level of structural correlation observed in typical datasets. Compared to existing denoising methods, the proposed method performs reconstruction directly from the measured complex k‐space data, allowing for Gaussian noise modeling and theoretical characterizations of the resolution and signal‐to‐noise ratio of the reconstructed images. In addition, the proposed method is compatible with many different models of the diffusion signal (e.g., diffusion tensor modeling and q‐space modeling). The joint reconstruction method can provide significant improvements in signal‐to‐noise ratio relative to conventional reconstruction techniques, with a relatively minor corresponding loss in image resolution. Results are shown in the context of diffusion spectrum imaging tractography and diffusion tensor imaging, illustrating the potential of this signal‐to‐noise ratio‐enhancing joint reconstruction approach for a range of different diffusion imaging experiments. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.
An Adaptive Interacting Wang–Landau Algorithm for Automatic Density Exploration

While statisticians are well-accustomed to performing exploratory analysis in the modeling stage of an analysis, the notion of conducting preliminary general-purpose exploratory analysis in the Monte Carlo stage (or more generally, the model-fitting stage) of an analysis is an area that we feel deserves much further attention. Toward this aim, this article proposes a general-purpose algorithm for automatic density exploration. The proposed exploration algorithm combines and expands upon components from various adaptive Markov chain Monte Carlo methods, with the Wang–Landau algorithm at its heart. Additionally, the algorithm is run on interacting parallel chains—a feature that both decreases computational cost as well as stabilizes the algorithm, improving its ability to explore the density. Performance of this new parallel adaptive Wang–Landau algorithm is studied in several applications. Through a Bayesian variable selection example, we demonstrate the convergence gains obtained with interacting chains. The ability of the algorithm’s adaptive proposal to induce mode-jumping is illustrated through a Bayesian mixture modeling application. Last, through a two-dimensional Ising model, the authors demonstrate the ability of the algorithm to overcome the high correlations encountered in spatial models. Supplemental materials are available online.
A BPSK/QPSK Timing-Error Detector for Sampled Receivers

A simple algorithm for detection of timing error of a synchronous, band-limited, BPSK or QPSK data stream is proposed. The algorithm requires only two samples per symbol for its operation. One of the two samples is also used for the symbol decision. Derivation of the s curve reveals a sinusoidal shape.
Which face is more attractive?

People are fond of sharing their photos of life experience in social networks, where the majority of photos are containing faces, especially in selfies. In fact, we are spontaneously evaluating the attractiveness of faces we see in daily life with personality and emotional traits within a single glance. Can we make a comparison on attractiveness between two face images automatically? In this paper, we capitalize on the fact that the difficulties in comparing the attractiveness of various face image pairs are not even and propose a hierarchical structure integrated with multiple comparative convolutional neural networks (CCNNs). First, five synthetic part faces are generated for each original face image to highlight the influences of parts in attractiveness. Both the original and synthetic face pairs are displayed to the subjects for attractiveness labeling. Multiple CCNNs are then trained on the labeled data with different kinds of pairs. Finally, all the CCNNs are combined to make a weighted comparison result for an input pair. The experimental results in two datasets show CCNNs can achieve significant performance improvement over other state-of-the-art methods. Quantifying the attractiveness of face images lends to many useful applications, such as choosing a better selfie and improving the results of related searching tasks.
Mapping and localization using surround view

Intelligent vehicles heavily rely on robust and accurate self-localization. Global navigation satellite systems (GNSS) are not reliable in urban environments due to multipath and shadowing effects. Vision-based localization offers a promising alternative. We present a high-precision six degrees of freedom self-localization method using multiple cameras covering the surrounding environment. First, a point feature map is created using images from a previous pass of the area to map. Thereafter, the map is used for high-precision localization in real-time. While localization, a rough prior estimate of the current pose is used to shrink the search space for feature matching by projecting mapped landmarks into current images. Then, stored observations of the projected landmarks are matched to actual observations and the egopose is estimated by back-projection error minimization. Thereby, our map structure provides mapped landmarks efficiently towards localization with multiple cameras. In real-world experiments we show that our approach provides reliable localization results while passing the mapped area in arbitrary orientation.
The Arabidopsis SPIKE1 Gene Is Required for Normal Cell Shape Control and Tissue Development Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.010346.

Regulated growth and cell shape control are fundamentally important to the function of plant cells, tissues, and organs. The signal transduction cascades that control localized growth and cell shape, however, are not known. To better understand the relationship between cytoskeletal organization, organelle positioning, and regulated vesicle transport, we conducted a forward genetic screen to identify genes that regulate cytoskeletal organization in plants. Because of the distinct requirements for microtubules and actin filaments during leaf trichome development, a trichome-based morphology screen is an efficient approach to identify genes that affect cytoplasmic organization. The seedling lethal spike1 mutant was identified based on trichome, cotyledon, and leaf-shape defects. The predicted SPIKE1 protein shares amino acid identity with a large family of adapter proteins present in humans, flies, and worms that integrate extracellular signals with cytoskeletal reorganization. Both the trichome phenotype and immunolocalization data suggest that SPIKE1 also is involved in cytoskeletal reorganization. The assembly of laterally clustered foci of microtubules and polarized growth are early events in cotyledon development, and both processes are misregulated in spike1 epidermal cells.