gebhart/patrepeval huggingface dataset:
Distributed LMS for Consensus-Based In-Network Adaptive Processing (2009)

Adaptive algorithms based on in-network processing of distributed observations are well-motivated for online parameter estimation and tracking of (non)stationary signals using ad hoc wireless sensor networks (WSNs). To this end, a fully <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">distributed</i> least mean-square (D-LMS) algorithm is developed in this paper, offering simplicity and flexibility while solely requiring single-hop communications among sensors. The resultant estimator minimizes a pertinent squared-error cost by resorting to i) the alternating-direction method of multipliers so as to gain the desired degree of parallelization and ii) a stochastic approximation iteration to cope with the time-varying statistics of the process under consideration. Information is efficiently percolated across the WSN using a subset of ldquobridgerdquo sensors, which further tradeoff communication cost for robustness to sensor failures. For a linear data model and under mild assumptions aligned with those considered in the centralized LMS, stability of the novel D-LMS algorithm is established to guarantee that local sensor estimation error norms remain bounded most of the time. Interestingly, this weak stochastic stability result extends to the pragmatic setup where intersensor communications are corrupted by additive noise. In the absence of observation and communication noise, consensus is achieved almost surely as local estimates are shown exponentially convergent to the parameter of interest with probability one. Mean-square error performance of D-LMS is also assessed. Numerical simulations: i) illustrate that D-LMS outperforms existing alternatives that rely either on information diffusion among neighboring sensors, or, local sensor filtering; ii) highlight its tracking capabilities; and iii) corroborate the stability and performance analysis results.
Deletion of Loss-of-Function–Intolerant Genes and Risk of 5 Psychiatric Disorders (2021)

This study examines 2 gene-level metrics of variation constraint against protein-truncating variants—probability of loss-of-function intolerance and loss-of-function observed/expected upper bound fraction—and their association with the psychiatric consequences of both recurrent and nonrecurrent gene deletions.
Syntheses of heterocyclic compounds. CCCLXXX. Azamorphinan and related compounds. III. Syntheses of 3-hydroxy-N-substituted-9-azamorphinans (1970)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSyntheses of heterocyclic compounds. CCCLXXX. Azamorphinan and related compounds. III. Syntheses of 3-hydroxy-N-substituted-9-azamorphinansTetsuji Kametani, Kazuo Kigasawa, Mineharu Hiiragi, Nagatoshi Wagatsuma, Kikuo Wakisaka, Fumio Satoh, and Setsu SaitoCite this: J. Med. Chem. 1970, 13, 6, 1064–1067Publication Date (Print):November 1, 1970Publication History Published online1 May 2002Published inissue 1 November 1970https://pubs.acs.org/doi/10.1021/jm00300a010https://doi.org/10.1021/jm00300a010research-articleACS PublicationsRequest reuse permissionsArticle Views45Altmetric-Citations8LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Figure S3 from Dopamine Receptor D5 is a Modulator of Tumor Response to Dopamine Receptor D2 Antagonism (2023)

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Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition (2020)

Affective computing and cognitive theory are widely used in modern human-computer interaction scenarios. Human faces, as the most prominent and easily accessible features, have attracted great attention from researchers. Since humans have rich emotions and developed musculature, there exist a lot of fine-grained expressions in real-world applications. However, it is extremely time-consuming to collect and annotate a large number of facial images, of which may even require psychologists to correctly categorize them. To the best of our knowledge, the existing expression datasets are only limited to several basic facial expressions, which are not sufficient to support our ambitions in developing successful human-computer interaction systems. To this end, a novel Fine-grained Facial Expression Database - F2ED is contributed in this paper, and it includes more than 200k images with 54 facial expressions from 119 persons. Considering the phenomenon of uneven data distribution and lack of samples is common in real-world scenarios, we further evaluate several tasks of few-shot expression learning by virtue of our F2ED, which are to recognize the facial expressions given only few training instances. These tasks mimic human performance to learn robust and general representation from few examples. To address such few-shot tasks, we propose a unified task-driven framework - Compositional Generative Adversarial Network (Comp-GAN) learning to synthesize facial images and thus augmenting the instances of few-shot expression classes. Extensive experiments are conducted on F2ED and existing facial expression datasets, i.e., JAFFE and FER2013, to validate the efficacy of our F2ED in pre-training facial expression recognition network and the effectiveness of our proposed approach Comp-GAN to improve the performance of few-shot recognition tasks.
Elvân Çelebi'nin Şiirlerinde Dinî Duygu Temaları (2020)

Elvân Çelebi; devrinde oldukça tanınmış ve halk tarafından büyük bir veli olarak kabul edilmiş bir zattır. Kesin olmamakla birlikte Baba İlyas’ın torunu olduğu için, Baba İlyas, Muhlis Paşa, Aşık Paşa sırasını takip ederek aile içerisinde şeyhlik makamına geçtiği tahmin edilmektedir. Elvân Çelebi’nin büyük dedesi Baba İlyas tarafından temsil edilen Vefâîlik tarikatına mensup olduğu sanılmaktadır. Halk arasında hem sağlığında hem de ölümünden sonra uzun boylu, zarif görünümlü genç bir adam ya da nur yüzlü yaşlı bir ihtiyar suretinde muhtaç insanlara yardım ettiğine dair halk arasında menkıbeler anlatılmıştır. Ayrıca şöhretinin vefatından sonra da devam ettiği kayıtlardan anlaşılmaktadır. Çeşitli eserlerde onun büyük bir veli oluşunun ve mutasavvıf yönünün yanı sıra şair yönüne de vurgular yapılmıştır. Elvân Çelebi’nin Menâkıbu’l-Kudsiyye ve kendisine atfedilen bazı şiirler dışında günümüze kadar ulaşan bir eseri bulunmamaktadır. Bu çalışmada; ona atfedilen şiirlerden bazıları ele alınmış ve söz konusu şiirlerde dinî duygunun yansımaları incelenmiştir. Şiirlerde geçen dinî duygu temaları din psikolojisi ve tasavvuf psikolojisi literatüründen yararlanarak yorumlanmaya çalışılmıştır. Araştırma sonunda, Çelebi’nin seçilen şiirlerinde dünyanın geçiciliği, aşkın tecrübesi, ölüm hakikati ve Çelebi&amp;#039;nin eliyaya karşı bakış açısının ele alındığı görülmüştür.
Prioritization and transparency in software development: An action research in public administration (2021)

The prioritization of requirements is a critical activity in quality assurance. However, in public institutions, prioritization faces conflicts with financial constraints. Problem: Increasing the complexity of requirements. Objective: Proposition of a Kanban method to improve the transparency of activities and facilitate prioritization. Method: An action research carried out in two cycles at the Attorney General's Office of the State of Pernambuco, involving the development team and public managers. Result: The presentation of the method's effectiveness as a mechanism facilitating transparency and as a support to management in prioritization.
Wood-Derived Tar as a Carbon Binder Precursor for Carbon and Graphite Technology (2016)

In addition to the many benefits of coal tar pitch, these materials are known to contain polycyclic aromatic hydrocarbons. For this reason, studies are being developed to elaborate new, ecologically friendly, alternative binders for carbon–graphite technology. This article presents the results of wood tar recovered during thermal degradation of selected types of woods as alternative binders in the manufacture of carbon materials. Two kinds of wood tars obtained from different raw materials were analyzed. Sawdust thermal conversion makes it possible to obtain carbon binders with a lower coking value and quinoline-insoluble matters in comparison to coal tar pitch. These binders produce significantly reduced emissions of polycyclic aromatic hydrocarbons in carbon–graphite technology. Carbon samples manufactured using wood-derived binders with carbon fillers showed similar density and mechanical compression strength values compared to those based on conventional coal tar pitch binders.
The Rise of Radicals in Bioinorganic Chemistry (2016)

Prior to 1950, the consensus was that biological transformations occurred in two-electron steps, thereby avoiding the generation of free radicals. Dramatic advances in spectroscopy, biochemistry, and molecular biology have led to the realization that protein-based radicals participate in a vast array of vital biological mechanisms. Redox processes involving high-potential intermediates formed in reactions with O<sub>2</sub> are particularly susceptible to radical formation. Clusters of tyrosine (Tyr) and tryptophan (Trp) residues have been found in many O<sub>2</sub>-reactive enzymes, raising the possibility that they play an antioxidant protective role. In blue copper proteins with plastocyanin-like domains, Tyr/Trp clusters are uncommon in the low-potential single-domain electron-transfer proteins and in the two-domain copper nitrite reductases. The two-domain muticopper oxidases, however, exhibit clusters of Tyr and Trp residues near the trinuclear copper active site where O<sub>2</sub> is reduced. These clusters may play a protective role to ensure that reactive oxygen species are not liberated during O<sub>2</sub> reduction.
ΔV/Δt-intervention control concept for improved transient response in digitally controlled boost converters (2018)

Boost converters suffer from a bandwidth limitation caused by the right-half-plane zero (RHPZ), which occurs in the control-to-output transfer function. In contrast, there are many applications that require superior dynamic behavior. Further, size and cost of boost converter systems can be minimized by reduced voltage deviations and fast transient responses in case of large signal load transients. The key idea of the proposed ΔV/Δt-intervention control concept is to adapt the controller output to its new steady state value immediately after a load transient by prediction from known parameters. The concept is implemented in a digital control circuit, consisting of an ASIC in a 110nm-technology and a Xilinx Spartan-6 field programmable gate array (FPGA). In a boost converter with 3.5 V input voltage, 6.3 V output voltage, 1.2 A load, and 500 kHz switching frequency, the output voltage deviations are 2.8x smaller, scaling down the output capacitor value by the same factor. The recovery times are 2.4x shorter in case of large signal load transients with the proposed concept. The control is widely applicable, as it supports constant switching frequencies and allows for duty cycle and inductor current limitations. It also shows various advantages compared to conventional control and to selected adaptive control concepts.
Understanding FM Implementations: A Call for Common Standards (1992)

In recent years there has been much effort to standardize music representation so as to allow musical pieces to be transferred freely between systems. These efforts have dealt largely with music at the level of notes and scores. In such endeavors there is an unspoken assumption that the elements of discourse have the same semantic meaning for everybody, and this is certainly true of things like equaltempered scale, quarter-note, middle-C, etc. We have a long musical history that defines these concepts in an unambiguous way. If, however, we should ever want to extend this representation effort to include timbral propertiesand I think we should-we are in a rather bad position if the state of our synthesis implementations is anything like that which currently exists for synthesis via frequency modulation (FM). Because of ambiguous notions of what constitutes correct FM, a situation has developed in which sites have implemented incompatible FM algorithms, thus precluding the possibility of distortion-free migration of FM patches between platforms. This article is an attempt to set the record straight about this issue, and to identify and clearly define some of the different forms of FM that have emerged over the years. Please note that I have normalized the notation used in all the equations that follow, so they may be different from the original source from which they were taken. This also applies to the nomenclature surrounding the table lookup oscillator, which varies from author to author. Throughout the paper I have called it Frequency Increment Table Lookup oscillator, or FITL for short. The Source of Ambiguities
stcS, a putative P-450 monooxygenase, is required for the conversion of versicolorin A to sterigmatocystin in Aspergillus nidulans (1995)

Sterigmatocystin (ST) and aflatoxin are carcinogenic end point metabolites derived from the same biochemical pathway, which is found in several Aspergillus spp. Recently, an ST gene cluster, containing approximately 25 distinct genes that are each proposed to function specifically in ST biosynthesis, has been identified in Aspergillus nidulans. Each of these structural genes is named stc (sterigmatocystin) followed by a consecutive letter of the alphabet. We have previously described stcU (formerly verA) as encoding a keto-reductase required for the conversion of versicolorin A to ST. We now describe a second A. nidulans gene, stcS (formerly verB), that is located within 2 kb of stcU in the ST gene cluster. An stcS-disrupted strain of A. nidulans, TSS17, was unable to produce ST and converted ST/aflatoxin precursors to versicolorin A rather than ST, indicating that stcS functions at the same point in the pathway as stcU. Genomic sequence analysis of stcS shows that it encodes a cytochrome P-450 monooxygenase and constitutes a novel P-450 family, CYP59. Assuming that StcU activity mimics that of similar P-450s, it is likely that StcU catalyzes one of the proposed oxidation steps necessary to convert versicolorin A to ST. These results constitute the first genetic proof that the conversion of versicolorin A to ST requires more than one enzymatic activity.
Intramolecular Insight into Adsorbate–Substrate Interactions via Low-Temperature, Ultrahigh-Vacuum Tip-Enhanced Raman Spectroscopy (2014)

Tip-enhanced Raman spectroscopy (TERS) provides chemical information for adsorbates with nanoscale spatial resolution, single-molecule sensitivity, and, when combined with scanning tunneling microscopy (STM), Ångstrom-scale topographic resolution. Performing TERS under ultrahigh-vacuum conditions allows pristine and atomically smooth surfaces to be maintained, while liquid He cooling minimizes surface diffusion of adsorbates across the solid surface, allowing direct STM imaging. Low-temperature TER (LT-TER) spectra differ from room-temperature TER (RT-TER), RT surface-enhanced Raman (SER), and LT-SER spectra because the vibrational lines are narrowed and shifted, revealing additional chemical information about adsorbate-substrate interactions. As an example, we present LT-TER spectra for the rhodamine 6G (R6G)/Ag(111) system that exhibit such unique spectral shifts. The high spectral resolution of LT-TERS provides intramolecular insight in that the shifted modes are associated with the ethylamine moiety of R6G. LT-TERS is a promising approach for unraveling the intricacies of adsorbate-substrate interactions that are inaccessible by other means.
Image processing vision system implementing a smart sensor (2004)

There are many vision algorithms of image processing with CMOS image sensors such as image enhancement, segmentation, feature extraction and pattern recognition. These algorithms are frequently used in software-based operations. Here, the main research interest focuses on how to integrate image processing (vision) algorithms with CMOS integrated systems or how to implement smart retinas in hardware, in terms of their system-level architecture and design methodologies. The approach is compared with state-of-the-art vision chips build using digital SIMD arrays and vision systems using CMOS sensors combined with FPGA technology. As a test bench, an advanced algorithm for an exposure time calibration is presented with experimental results of image processing.
Cladribine Underdosing in Hairy-cell Leukemia: a Cause for Apparent Response Failure (2002)

While chemotherapy overdose is often readily discovered, underdosing errors are seldom appreciated. We report two patients with hairy-cell leukemia who apparently failed to respond to cladribine administered by continuous portable pump infusion. It was determined that both patients received one-seventh of the prescribed dose, although the orders were written correctly. The errors resulted in the administration of 1 day's dose over 1 week. The use of 7-day portable pump infusion therapy for cladribine can be associated with misdosing, and is an occult cause of apparent failure to respond in hairy-cell leukemia.
Comparison of Vector Scattering Theory and BRDF Measurements on a Thick Silica Overcoated Aluminized Substrate (1992)

An aluminized substrate overcoated with a 1.83 μm thick silica film was used to test the correlation properties of the two rough film surfaces using BRDF measurements in the visible spectral region. Thin overcoating films contour the low spatial frequency roughness of the substrate but can add small amounts of high spatial frequency roughness because of the lumpiness of the coating. Thick overcoating films can destroy the low spatial frequency correlation, making the two rough surfaces completely uncorrelated. The outer silica film surface and a comparable aluminized substrate (inner surface) were measured using a mechanical stylus profiler to obtain rms roughness and autocovariance functions for both surfaces. The thick film system was then modeled by assuming a Gaussian autocovariance function for the highest frequency roughness (that could not be directly measured by the mechanical profiler) and an exponential autocovariance function for the lower spatial frequency roughness for both surfaces. This film model was used in theoretical calculations of BRDF for the 1.83 μm physical thickness silica film for s and p polarization at various angles of incidence in the visible. The calculations showed measurable differences in BRDF for correlated and uncorrelated roughness on the two surfaces. BRDF measurements suggested that the interfacial roughnesses were uncorrelated for the thick silica film.
Can pelvic node dissection at radical prostatectomy influence the nodal recurrence at salvage lymphadenectomy for prostate cancer? (2018)

In prostate cancer patients undergoing sLND, most had inadequate PLND at the original RP. Pattern of nodal recurrence may be influenced by the prior dissection and pre sLND imaging appears to underestimate the nodal recurrence.
Efficient Rate-distortion Approximation and Transform Type Selection using Laplacian Operators (2018)

Rate-distortion (RD) optimization is an important tool in many video compression standards and can be used for transform selection. However, this is typically very computationally demanding because a full RD search involves the computation of transform co-efficients for each candidate transform. In this paper, we propose an approach that uses sparse Laplacian operators to estimate the RD cost by computing a weighted squared sum of transform coefficients, without having to compute the actual transform coefficients. We demonstrate experimentally how our method can be applied for transform selection. Implemented in the AV1 encoder, our approach yields a significant speed-up in encoding time with a small increase in bitrate.
Tuning Discharge Behavior of Hollandite α-MnO2 in Hydrated Zinc Ion Battery by Transition Metal Substitution (2023)

The tunnel-type hollandite α-MnO2 is a promising cathode material for rechargeable aqueous zinc-ion batteries (ZIBs) due to its low cost in synthesis and high energy density. However, irreversible structural degradation upon continuous cycling prevents the cathode from being utilized commercially. Herein, density functional theory (DFT) was utilized to conduct a systematic study on tuning the behavior of α-MnO2 by substituting the Mn ions on the tunnel wall with a transition metal (V or Cr) during the H+-/Zn2+-intercalation in hydrated ZIB. Our study revealed that both substituents aid cyclability and capacity retention with Cr outperforming V. In term of discharge voltage, only the Cr-substitution displays clear promotion at the early stage of discharge. The superior performance of substituted Cr4+ comes from its unique atomic and electronic structures. Upon discharge, it can be reduced to Cr3+ more readily than Mn4+ and thereby limits the formation of unstable Mn3+ or Mn2+ centers; the formed Cr3+ is more stable than Mn3+ and Mn2+ from the reduction of Mn4+; and Cr3+ can also greatly stabilize the neighboring Mn ions. This study highlights the significant tuning effect of transition metal substitution on the electrochemical and physical performance of α-MnO2 as a cathode in hydrated ZIBs.
Induced Pluripotent Cells for Myocardial Infarction Repair (2011)

Managing the rapidly expanding scope of chronic degenerative heart ­disease is a major clinical challenge. Owing to progressive cellular destruction and loss of functional tissues, chronic degenerative diseases are responsible for many of the disabilities suffered throughout lifespan. This creates an ever-growing need for new therapies capable of repairing the underlying pathophysiologic changes and restoring native cellular architecture. The emergence of regenerative medicine expands the therapeutic armamentarium, establishing new paradigms to address disease management unmet by traditional strategies. Stem-cell-based regenerative medicine drives the evolution of medical sciences from palliation, which mitigates symptoms, to curative therapy aimed at treating the root cause of degenerative disease and thus promoting long-term wellness. With the optimization of acute hospital care, more individuals are surviving life-threatening myocardial infarction and deferring the burden of ischemic heart disease as they accumulate incremental insults leading to progressive heart failure. The incidence of long-term complications of inadequate cardiac performance is increasingly recognized as an unmet need within health care systems. An attractive alternative to address this expanding challenge has been documented with stem cell therapeutics. Specialized stem cell populations demonstrate a unique aptitude to differentiate into cardiac progenitors, and form new tissue. Cell-based strategies that promote, augment, and reestablish repair are at the core of translating the science of stem cell biology into the practice of cardiovascular regenerative medicine. Here, the latest evolution of stem-cell-based therapy, with emphasis on a bioengineered pluripotent stem cell platform, is outlined from discovery science to potential clinical use in the setting of ischemic heart disease.