Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of high‐efficiency continuous resistive‐reactive class‐J power amplifier

This paper presents an ultra‐wideband, high‐efficiency continuous resistive‐reactive class‐J power amplifier. The design space is extended by controlling the second harmonic with impedance component and multiple harmonics of a continuous class‐J PA, enabling it to achieve efficient output in multiple octave bandwidths. Based on this theory, a GaN HEMT transistor CGH40010F is used to achieve a 0.6 to 3.2 GHz, average efficiency of 65%, ultra‐wideband PA with output power greater than 40 dBm. The simulation results are consistence with the measurement results and respond to the expectations.
On Multidimensional Congestion Games

We introduce multidimensional congestion games, that is, congestion games whose set of players is partitioned into d+1 clusters C0,C1,…,Cd. Players in C0 have full information about all the other participants in the game, while players in Ci, for any 1≤i≤d, have full information only about the members of C0∪Ci and are unaware of all the others. This model has at least two interesting applications: (i) it is a special case of graphical congestion games induced by an undirected social knowledge graph with independence number equal to d, and (ii) it represents scenarios in which players have a type and the level of competition they experience on a resource depends on their type and on the types of the other players using it. We focus on the case in which the cost function associated with each resource is affine and bound the price of anarchy and stability as a function of d with respect to two meaningful social cost functions and for both weighted and unweighted players. We also provide refined bounds for the special case of d=2 in presence of unweighted players.
TAYLOR DIRICHLET PROCESS MIXTURE FOR SPEECH PDF ESTIMATION AND SPEECH RECOGNITION

A BSTRACT . For a backward Markova particle ﬁlter, the estimation of noise sequences and a strategy for modelling of speech probability distribution function using Taylor hybrid Dirichlet Process Mixture are deliberated in this manuscript. Generally, the speech identiﬁcation rate, drastically reduces due to the effect of circumstance noises, echo signal, white noise and so on. The improvement of speech identiﬁcation rate is required to increase by estimating the sequence of noises. In this manuscript, instead of using a traditional methods of Gaussian Mixture Model (GMM), the clear speech is modelled using Taylor-DPM method. With the help of parameters such as standard deviation, covariance and mean created using Taylor-DPM, a sequence of speech signal will be generated. This method uses Kalman ﬁlter to improve the identiﬁcation of speech in Signal to Noise ratio and estimates the noise signal sequences using backward Markova particle ﬁlter.
Investigation on the Tip Positioning Accuracy of Cable-Driven Serpentine Manipulators

Cable-driven serpentine manipulators (CDSMs), having strong compliance and flexibility, are suitable for flexible operation in confined workspace. Like many other manipulators, it is an important issue to sense the tip pose of CDSMs. In much previous research, the manipulator’s tip pose is usually determined by the driving cable lengths. However, little literature has talked about the tip positioning accuracy. This paper focused on this issue, and investigated the effect of the cable hole location error and cable length error on the tip positioning accuracy of CDSMs. For this aim, we firstly established the kinematic model, and then analyzed the influence factors of the tip positioning accuracy. Simulation results show that the cable hole location error and cable length error have significant effects on the tip positioning accuracy, and especially in certain configurations, it can cause an approximate 30 mm deviation in position. Therefore, in order to improve the tip positioning accuracy of CDSMs, it is necessary to compensate for the cable hole location error and cable length error in the modeling.
A Wideband Slotted Spherical Waveguide Antenna Based on Multi-Mode Concept

A wideband slotted spherical waveguide antenna based on the multi-mode concept is presented. The proposed design starts from a metallized spherical cavity fed by a rectangular waveguide. Then, two groups of slots are symmetrically cut on the shell. By suitably choosing the slot dimensions and locations, four radiation modes can be excited in a single radiator and merged with each other, resulting in a wideband radiation characteristic. To verify this, a prototype is designed and fabricated using stereolithography apparatus to achieve a light weight. As the measured fractional bandwidth (FBW) of the proposed antenna can be increased to 70.1% while maintaining stable radiation patterns and high gain, a simple and effective design of wideband slotted waveguide antennas with good radiation characteristics can be validated.
Prolonged Inhibition of BCR Signaling and Suppression of B Cell Lymphoma through Irreversible Inhibition of Bruton’s Tyrosine Kinase

B-cell receptor (BCR) signaling is essential for normal B cell development and proliferation. In addition, functional BCR signaling contributes to the proliferation and survival of many B cell lymphomas through constitutive low level or tonic signaling. Disruption of this tonic signaling pathway results in cell death or decreased viability in many B cell lymphoma cells. Bruton’s tyrosine kinase (Btk) is a member of the Tec family of protein tyrosine kinases and plays a crucial role in the development and activation of B cells through association with the BCR signalosome. We have developed a novel, potent, irreversible inhibitor of Btk that selectively disrupts the BCR signaling pathway as measured by inhibition of both Btk Y223 autophosphorylation and phosphorylation of the Btk substrate PLCg2. AVL101 inhibits Btk but leaves upstream BCR kinase activity intact; both Syk phosphorylation at Y525/526 and transphosphorylation of Btk on residue Y551 are unaltered. By mass spectrometry, we have shown that AVL101 covalently modifies Btk specifically at Cys-481, and in cell-based assays, this irreversible binding leads to prolonged inhibition of Btk kinase activity. After removal of the compound, inhibition of Btk activity is maintained in cultured B cell lymphoma cells for > 8 hours. This prolonged inhibition correlates with the half-life of the Btk protein, which we have found to be greater than 8 hours, irrespective of BCR activation state or modification by the inhibitor. We have demonstrated that AVL101 functionally inhibits BCR signaling in vitro and in vivo. In vitro , AVL101 inhibits BCR ligand-induced calcium flux as well as proliferation of the B cell lymphoma cell lines DOHH2 and WSU-DLCL2. In vivo , we have shown AVL101 is orally bioavailable and can inhibit Btk-dependent B cell function. Our data demonstrate that Btk is a valid therapeutic target for B cell lymphomas and other disorders dependent on BCR signaling. Furthermore, irreversible inhibition of Btk enables complete and prolonged inactivation of the target kinase, and suggests that clinically, a rapid and sustained therapeutic response may be possible using an orally available, irreversible Btk inhibitor.
Deacclimation of Winter Oilseed Rape—Insight into Physiological Changes

Climate changes, which result in the occurrence of periods with relatively high temperatures during the winter, can lead to the deacclimation of cold-hardened plants and cause problems with their winter survival. The aim of these studies was to investigate the physiological changes (photosynthesis and water relations including aquaporin expression) that accompany deacclimation process in the economically important winter oilseed rape plants. The effect of deacclimation on frost tolerance was also estimated for two tested cultivars: semi-dwarf and plants of a normal height. After cold acclimation at 4 °C (compared to the unacclimated control) the typical changes that accompany cold acclimation such as an increase in the content of water-soluble sugars or a lower water content in the leaves, which lead to an increased frost tolerance, were observed. Deacclimation partially or completely reversed these changes, which resulted in a decreased frost tolerance that was accompanied by a decrease in the content of sugars and an increase of the osmotic potential. The chemical composition of the leaves, which was measured using FT-Raman spectroscopy also clearly confirmed the metabolic differences between the cold-acclimated and deacclimated plants. The plants were significantly different in regard to the content of the various pigments as well as fatty acids and polysaccharides. The phenomenon of a deacclimation-induced decrease in aquaporin PIP1 accumulation, which was accompanied by unchanged PIP1 transcript accumulation, will be discussed in the aspects of the water relations and decreased frost tolerance in deacclimated plants.
Does Hopi Religious Harvest of Eaglets Affect Golden Eagle Territory Occupancy and Reproduction on the Navajo Nation?

Abstract The Golden Eagle (Aquila chrysaetos) has great religious importance to many indigenous North American peoples, including the Hopi Tribe and Navajo Nation of the southwestern United States. Hopi oral traditions indicate their ancestors harvested nestling Golden Eagles prior to the arrival of Europeans to the region, and this religious practice continues today. Despite contemporary conservation concern for Golden Eagles, no studies have evaluated potential negative effects of religious harvest on populations of this species. We conducted aerial and ground searches for Golden Eagle nesting territories on the Navajo Nation from 1996–2005, and monitored occupancy and reproductive rates of territories in three study areas: one area where Hopi annually harvested eaglets, and two areas without harvest. We analyzed 9 yr of data (1997–2005) using multi-season occupancy models and generalized linear mixed models to test for differences among study areas in occupancy dynamics, and production of early-season and fledging-age nestlings. We found no significant differences in probabilities of occupancy, persistence, or colonization of territories between study areas. Territories in harvest and control areas produced similar numbers of nestlings early in the season; however, significantly fewer (53%) reached fledging age in the harvested area, suggesting collection of nestlings led to locally depressed fledgling production. Given possible declining trends of Golden Eagle populations in the southwestern U.S., we recommend continued monitoring and more intensive demographic studies to better understand the effects of religious harvest on the population of Golden Eagles nesting on the Navajo Nation.
Reduced-order resonant regulator-based position harmonic error suppression for sensorless permanent magnet synchronous motor drives

In this article, to improve the accuracy of rotor position estimation in sensorless permanent magnet synchronous motor drives, a reduced-order resonant regulator for the rotor position sliding mode observer is proposed. Since fundamental back electromotive force can be utilized to calculate the rotor position, a mathematical model for the observer is first established based on the analysis of estimation fluctuation error, where a reduced-order resonant regulator is applied to extract the fundamental back electromotive force. Then, the phase-locked loop with back electromotive force normalization is used to compute the rotor position and speed. Finally, the experimental bench of permanent magnet synchronous motor driving system is built. The experimental results verify that the proposed strategy can effectively reduce the estimation error and meanwhile improve estimation accuracy.
Cross-examining Polyurethane Nanodomain Formation and Internal Structure

Structural and morphological interplay between hard and soft phases determine the bulk properties of thermoplastic polyurethanes. Commonly employed techniques rely on different physical or chemical phenomena for characterizing the organization of domains, but detailed structural information can be difficult to derive. Here, total scattering pair distribution function (PDF) analysis is used to determine atomic-scale insights into the connectivity and molecular ordering and compared to the domain size and morphological characteristics measured by AFM, TEM, SAXS, WAXS, and solid-state NMR 1H–1H spin-diffusion. In particular, density distribution functions are highlighted as a means to bridging the gap from the domain morphology to intradomain structural ordering. High real-space resolution PDFs are shown to provide a sensitive fingerprint for indexing aromatic, aliphatic, and polymerization-induced bonding characteristics, as well as the hard phase structure, and indicate that hard phases coexist in both ordered and disordered states.
Premature Adult Mortality and Years of Life Lost Attributed to Long-Term Exposure to Ambient Particulate Matter Pollution and Potential for Mitigating Adverse Health Effects in Tuzla and Lukavac, Bosnia and Herzegovina

Ambient air pollution is one of eight global risk factors for deaths and accounts for 38.44 all causes death rates attributable to ambient PM pollution, while in Bosnia and Herzegovina, it is 58.37. We have estimated health endpoints and possible gains if two policy scenarios were implemented and air pollution reduction achieved. Real-world health and recorded PM pollution data for 2018 were used for assessing the health impacts and possible gains. Calculations were performed with WHO AirQ+ software against two scenarios with cut-off levels at country-legal values and WHO air quality recommendations. Ambient PM2.5 pollution is responsible for 16.20% and 22.77% of all-cause mortality among adults in Tuzla and Lukavac, respectively. Our data show that life expectancy could increase by 2.1 and 2.4 years for those cities. In the pollution hotspots, in reality, there is a wide gap in what is observed and the implementation of the legally binding air quality limit values and, thus, adverse health effects. Considerable health gains and life expectancy are possible if legal or health scenarios in polluted cities were achieved. This estimate might be useful in providing additional health burden evidence as a key component for a clean air policy and action plans.
Local and Systemic Effects of Blood Flow Restriction Therapy in an Animal Model

Background: Blood flow restriction therapy (BFRT) has been increasingly applied to improve athletic performance and injury recovery. Validation of BFRT has lagged behind commercialization, and currently the mechanism by which this therapy acts is unknown. BFRT is one type of ischemic therapy, which involves exercising with blood flow restriction. Repetitive restriction of muscle blood flow (RRMBF) is another ischemic therapy type, which does not include exercise. Hypothesis/Purpose: The purpose was to develop a rat model of ischemic therapy, characterize changes to muscle contractility, and evaluate local and systemic biochemical and histologic responses of 2 ischemic therapy types. We hypothesized that ischemic therapy would improve muscle mass and strength as compared with the control group. Study Design: Controlled laboratory study. Methods: Four groups of 10 Sprague-Dawley rats were established: control, stimulation, RRMBF, and BFRT. One hindlimb of each subject underwent 8 treatment sessions over 4 weeks. To simulate exercise, the stimulation group underwent peroneal nerve stimulation for 2 minutes. The RRMBF group used a pneumatic cuff inflated to 100 mm Hg with a 48-minute protocol. The BFRT group involved 100–mm Hg pneumatic cuff inflation and peroneal nerve stimulation for a 5-minute protocol. Four methods of evaluation were performed: in vivo contractility testing, histology, immunohistochemistry, and ELISA. Analysis of variance with post hoc Tukey test and linear mixed effects modeling were used to compare the treatment groups. Results: There was no difference in muscle mass among groups (P = .40) or between hindlimbs (P = .73). In vivo contractility testing showed no difference in maximum contractile force among groups (P = .64) or between hindlimbs (P = .30). On histology, myocyte cross-sectional area was not different among groups (P = .55) or between hindlimbs (P = .44). Pax7 immunohistochemistry demonstrated no difference in muscle satellite cell density among groups (P = .06) or between hindlimbs (P = .046). ELISA demonstrated the RRMBF group as eliciting elevated GH levels as compared with the other groups (P < .001). Conclusion: Ischemic therapy did not induce gains in muscle mass, contractility strength, fiber cross-sectional area, or satellite cell density locally or systemically in this model, although the RRMBF group did have elevated GH levels on ELISA. Clinical Relevance: This animal model does not support ischemic therapy as a method to improve muscle mass, function, or satellite cell density.
Recycling of municipal solid waste into valuable organic fertilizer towards rejuvenation of crop physiology, yield and soil health

ABSTRACT Though application of chemical fertilizers has contributed significantly to the huge increase in the world food production, the adverse impacts of it are well known. To develop an organic farming system an experiment was conducted on paddy, in old alluvial soil zone, with vermicompost prepared from screened municipality solid waste and different doses of bio-fertilizer and chemical fertilizer which is productive, profitable, enhances soil health and conserves the natural resource. We compared crop yields, crop morphological and morpho-physiological characters along with economical analysis obtained from three consecutive years experiment (2017 to 2019) along with long-term soil sustainability. It has been observed that 25% NPK fertilizer can safely be supplemented by low cost and natural resource-based vermicompost at 2.5 t ha−1 to achieve long-term sustainability in paddy cultivation that is more productive and profitable.
Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports.

Purpose To evaluate publicly available de-identification tools on a large corpus of narrative-text radiology reports. Materials and Methods In this retrospective study, 21 categories of protected health information (PHI) in 2503 radiology reports were annotated from a large multihospital academic health system, collected between January 1, 2012 and January 8, 2019. A subset consisting of 1023 reports served as a test set; the remainder were used as domain-specific training data. The types and frequencies of PHI present within the reports were tallied. Five public de-identification tools were evaluated: MITRE Identification Scrubber Toolkit, U.S. National Library of Medicine‒Scrubber, Massachusetts Institute of Technology de-identification software, Emory Health Information DE-identification (HIDE) software, and Neuro named-entity recognition (NeuroNER). The tools were compared using metrics including recall, precision, and F1 score (the harmonic mean of recall and precision) for each category of PHI. Results The annotators identified 3528 spans of PHI text within the 2503 reports. Cohen κ for interrater agreement was 0.938. Dates accounted for the majority of PHI found in the dataset of radiology reports (n = 2755 [78%]). The two best-performing tools both used machine learning methods-NeuroNER (precision, 94.5%; recall, 92.6%; microaveraged F1 score [F1], 93.6%) and Emory HIDE (precision, 96.6%; recall, 88.2%; F1, 92.2%)-but none exceeded 50% F1 on the important patient names category. Conclusion PHI appeared infrequently within the corpus of reports studied, which created difficulties for training machine learning systems. Out-of-the-box de-identification tools achieved limited performance on the corpus of radiology reports, suggesting the need for further advancements in public datasets and trained models.Supplemental material is available for this article.See also the commentary by Tenenholtz and Wood in this issue. © RSNA, 2020.
Predicting Model Improvement by Accounting for Spatial Autocorrelation: A Socioeconomic Perspective

In geographical literature, numerous studies have demonstrated the differences that arise if spatial autocorrelation (SAC) is incorporated into a conventional nonspatial modeling procedure, but little is known about when these differences might be magnified. This study addressed this query by conducting two sets of regression modeling for 561 variables representing housing prices, metropolitan industry, health, crime, education, and (un)employment across various parts of the United States: (1) nonspatial ordinary least squares (OLS) using a set of selected independent variables and (2) spatial regression incorporating spatial filters into the nonspatial OLS as additional independent variables. This incorporation generally improved the model outcomes through decreases in residual autocorrelation and Akaike’s information criterion (AIC). The degree of improvement correlated positively with the level of SAC inherent in the dependent variables. That is, strongly autocorrelated socioeconomic variables underwent greater decreases in residual autocorrelation and AIC than those variables with weaker SAC. The results imply that spatial modeling outcomes are sensitive to and potentially predictable by the level of SAC possessed by dependent variables. Therefore, the degree of SAC present in a socioeconomic variable can serve as a direct indicator of how much improvement a nonspatial OLS will experience if that SAC is properly accounted for.
Plasmonic Materials: Opportunities and Challenges on Reticular Chemistry for Photocatalytic Applications

Solar‐light harvesting materials currently represent a hot topic in catalysis due to the several applications where they can be used. Among the recent strategies to enhance the photocatalytic performance of semiconductor materials, plasmonic metals are trending. Coupling plasmonic metal nanoparticles with a semiconductor material can give unique synergistic effects and properties. Especially when reticular materials, like metal organic frameworks, are used to generate these plasmonic nanocomposites. Herein, a brief introduction to the localized surface plasmon resonance and reticular materials design and fabrication is given. Also, the advantages of plasmonic with reticular nanostructures are discussed. The following highlights summarize recent advances in sunlight‐driven plasmonic reactions (CO2 photoreduction, water depollution, gas sensing, and optical reactions). Theoretical and experimental approaches are discussed, regarding mechanistic phenomena of nanocomposites with reticular materials and surface plasmon metals. A proper discussion and perspective of the remaining challenges and future opportunities for plasmonic metals with reticular materials in the field of photocatalysis is given in the overview and conclusion.