gebhart/patrepeval huggingface dataset:
Handling Different Computational Granularity by a Reconfigurable IC Featuring Embedded FPGAs and a Network-on-Chip (2005)

A system-on-chip integrating a microprocessor, three embedded FPGA (eFPGA) and an eight port network-on-chip (NoC) is implemented in a 90nm CMOS technology. The system has been designed to execute complex multimedia applications by the use of hardware accelerators mapped to a reconfigurable platform based on a message-passing architecture. Computational kernels are mapped as hardware autonomous processes inside the eFPGAs or locally accelerated by the usage of dedicated microprocessor coprocessors. Each eFPGA on the system can be independently programmed and share logic with the others eFPGAs by intra-communication channels. The architecture is highly scalable since the eFPGA number can be controlled and the reconfigurable platform communication channels are based on a configurable NoC. The silicon area required by the system is 26mm2 in a 90 nm CMOS process. 10x speed ups have been measured on a MP3 playler mapping example.
Lentiviral vector-based therapy in head and neck cancer (Review) (2013)

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common neoplasm worldwide. Despite advances in multimodality treatments involving surgery, radiation and chemotherapy, the five-year survival rate has remained at ~50% for the past 35 years. Therefore, the early detection of recurrent or persistent disease is extremely important. Replication-incompetent HIV-1-based lentiviral vectors have emerged as powerful and safe tools for gene delivery. Commonly, HNSCC is a locoregional disease that presents at or close to the body surface. Thus, HNSCC is amendable to intratumoral injections of gene therapy vectors aimed at correcting defects associated with tumor suppressor genes to induce the direct cytotoxicity of cancer cells or immune modulation to promote antitumor immunity. Current investigations analyzing HNSCC gene mutations and stem cell markers and the cancer immunoediting concept are creating exciting therapeutic opportunities for lentiviral and other gene transfer vectors. The present review reports specific examples of the current applications of lentiviral vectors in HNSCC.
Derivatives of Dicyanamide1 (1963)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDerivatives of Dicyanamide1Milton B. Frankel, Eugene A. Burns, Janis C. Butler, and Edgar R. WilsonCite this: J. Org. Chem. 1963, 28, 9, 2428–2431Publication Date (Print):September 1, 1963Publication History Published online1 May 2002Published inissue 1 September 1963https://pubs.acs.org/doi/10.1021/jo01044a068https://doi.org/10.1021/jo01044a068research-articleACS PublicationsRequest reuse permissionsArticle Views287Altmetric-Citations24LEARN 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
Towards Reduced Instruction Sets for Synchronization (2017)

Contrary to common belief, a recent work by Ellen, Gelashvili, Shavit, and Zhu has shown that computability does not require multicore architectures to support "strong" synchronization instructions like compare-and-swap, as opposed to combinations of "weaker" instructions like decrement and multiply. However, this is the status quo, and in turn, most efficient concurrent data-structures heavily rely on compare-and-swap (e.g. for swinging pointers and in general, conflict resolution). We show that this need not be the case, by designing and implementing a concurrent linearizable Log data-structure (also known as a History object), supporting two operations: append(item), which appends the item to the log, and get-log(), which returns the appended items so far, in order. Readers are wait-free and writers are lock-free, and this data-structure can be used in a lock-free universal construction to implement any concurrent object with a given sequential specification. Our implementation uses atomic read, xor, decrement, and fetch-and-increment instructions supported on X86 architectures, and provides similar performance to a compare-and-swap-based solution on today's hardware. This raises a fundamental question about minimal set of synchronization instructions that the architectures have to support.
Editorial (2009)

The JOI is about to undertake a major change for Authors, Editors, and Reviewers. PeerTrack® Manuscript Tracking will make the task of submitting manuscripts and the process of reviewing more efficient. Authors will be able to login to the PeerTrack® website and fill in necessary information and upload their documents, figures, and tables with ease. They will also be able to go online at various times and track the progress of their manuscript. The Managing Editor, Ms. Beverly Lindeen, and I, as Interim Editor, will be notified via email that a new manuscript has been submitted. The Managing Editor will be able to review the submission and assure that all essential components are in place. Following this initial step the manuscript will be sent out to multiple reviewers. The entire submission process will be blinded to the reviewers and the reviewer will be blinded to the author. The author will be able to check online if the manuscript has been sent out for review and also if the review been completed and returned to the Interim Editor. If the manuscript needs major or minor modifications the author will be notified via email to go to PeerTrack® online to see the blinded comments and make necessary corrections for resubmission to the Interim Editor. Once a manuscript has been accepted for publication, the author will be informed.For Reviewers this process will facilitate a more equitable distribution by assuring that manuscripts are distributed to the appropriate reviewers based on topic category. Once the Interim Editor has assigned the manuscript to reviewers, these reviewers will get an email informing them that they have been assigned a manuscript for review. Out of respect to the authors the JOI asks that all reviews be completed within 30 days. The Reviewer will login to PeerTrack® and be able to review the manuscript in one setting or over multiple settings if desired. Comments will be easily noted. Upon completion of their review, the Interim Editor will again be notified and take appropriate action.All AAID members and ABOI/ID Diplomates will be receiving an email surveying their interest in becoming a Reviewer for the JOI. Those who will accept this important role will be asked to go online to PeerTrack®, login, and complete a profile sheet of relevant information and designate what their area(s) of expertise for reviewing are. The JOI encourages all AAID members and Diplomates to seriously consider becoming a reviewer. The success of the JOI is vital to the profession and the AAID. Please consider this a call to service, which will provide dividends for all of our members and readers.Regards,James L. Rutkowski, DMD, PhDInterim Editor JOI
Machine Learning Approach for Hairstyle Recommendation (2020)

According to aesthetic evaluations, hair is the most unique feature which can enhance the facial features of a person. Beauty experts have identified that 70% of overall face appearance completely depends on the haircut or hairstyle. The physical attributes such as the haircut is a major determinant of women's psychology. This is the essence of why a haircut which is matching a woman's face is necessary articulation. But selecting the right haircut or hairstyle is one of the most difficult decisions to take in a woman's life. This paper presents a novel framework to select the most suitable hairstyle or haircut by classifying the face shape. The author considers the shape of the face, beauty experts knowledge related to hair cuts and hairstyles and the length of the hair to develop a model to recommend the most suitable hairstyle or haircut. The author focused to recommend the haircuts and hairstyles for women which is a subsection of this large research area. According to beauty experts identifying the shape of the face is the most important step before selecting the right hairstyle or haircut. The proposed model has the ability to classify the face shape when a user uploaded a portrait of herself. Machine Learning libraries were used to identify the landmarks of the face image and classify the face in the correct shape. Naïve Bayes classification algorithm has used to recommend the most suitable hairstyle or haircut according to the detected face shape., hair length and information collected from the hair experts. User has given an option to share the recommended hair style or haircut with the beautician via “The Beauty Quest” Salon network platform. Five thousand images were trained, and python language has used as the programming language. The accuracy of the face shape classification model is 91% and the accuracy of the hair recommendation is also 83%.
Evaluation of binarization methods for document images (1995)

This paper presents an evaluation of eleven locally adaptive binarization methods for gray scale images with low contrast, variable background intensity and noise. Niblack's method (1986) with the addition of the postprocessing step of Yanowitz and Bruckstein's method (1989) added performed the best and was also one of the fastest binarization methods.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Semi-supervised 3D shape segmentation with multilevel consistency and part substitution (2023)

The lack of fine-grained 3D shape segmentation data is the main obstacle to developing learning-based 3D segmentation techniques. We propose an effective semi-supervised method for learning 3D segmentations from a few labeled 3D shapes and a large amount of unlabeled 3D data. For the unlabeled data, we present a novel multilevel consistency loss to enforce consistency of network predictions between perturbed copies of a 3D shape at multiple levels: point level, part level, and hierarchical level. For the labeled data, we develop a simple yet effective part substitution scheme to augment the labeled 3D shapes with more structural variations to enhance training. Our method has been extensively validated on the task of 3D object semantic segmentation on PartNet and ShapeNetPart, and indoor scene semantic segmentation on ScanNet. It exhibits superior performance to existing semi-supervised and unsupervised pre-training 3D approaches.
Femtosecond laser nanostructuring of metals (2006)

In this paper, we report on various nanostructures produced through direct surface modification on metals using femtosecond laser pulses. We show, for the first time, that these nanosctructures are natural consequence following femtosecond laser ablation. The optimal conditions for producing various nanostructures are determined.
Constant Current Fast Charging of Electric Vehicles via a DC Grid Using a Dual-Inverter Drive (2017)

Existing integrated chargers are configured to charge from single- or three-phase ac networks. With the rapid emergence of dc grids, there is growing interest in the development of high-efficiency low-cost integrated chargers interfaced with dc power outlets. This paper introduces a new integrated charger offering electric vehicle fast charging from emerging dc distribution networks. In absence of a dc grid, the charger can alternatively be fed from a simple uncontrolled rectifier. The proposed charger leverages the dual-inverter topology previously developed for high-speed drive applications. By connecting the charger inlet to the differential ends of the traction inverters, charging is enabled for a wide battery voltage range previously unattainable using an integrated charger based on the single traction drive. An 11-kW experimental setup demonstrates rapid charging using constant current control and energy balancing of dual storage media. To minimize the harmonic impact of the charger on the dc distribution network, a combination of complementary and interleaved switching methods is demonstrated.
Dual polarized widely tunable stacked microstrip antenna using varactor diodes (2009)

In this paper, a dual polarized widely tunable stacked microstrip antenna is proposed and is investigated by simulation and measurement. Eight varactor diodes are embedded along the edges of the patch to realize the proposed tuning capability. The stacked structure is used to compensate for varactor loss. Consequently, a wide tuning range of 63% is achieved with a gain variation of 1.0-9.3 dBi.
Acquired Cystic Disease-associated Renal Cell Carcinoma (ACD-RCC) (2018)

The incidence of renal cell carcinoma (RCC) is known to be higher in patients with end-stage renal disease, including those with acquired cystic kidney disease due to dialysis. Acquired cystic disease (ACD)-associated RCC was recently incorporated into the 2016 WHO Classification of Tumors of the Urinary System and Male Genital Tract as a distinct entity and is reportedly the most common RCC arising in end-stage renal disease. In this study, we sought to further describe clinicopathologic findings in a large series of ACD-RCC, emphasizing histologic features, immunophenotype, clinical outcome, and patterns of disease spread. We collected 40 previously unpublished cases of ACD-RCC with mean clinical follow-up of 27 months (median, 19 mo; range, 1 to 126 mo). Mean tumor size was 2.7 cm (median, 2.4 cm), and 32 tumors (80%) were confined to the kidney (pT stage less than pT3a). International Society of Urological Pathology grade was 3 in 37 cases (92.5%), grade 2 in 1 case (2.5%), and grade 4 in 2 cases (5%). Architectural variability among ACD-RCC was common, as 39 cases (98%) showed varying combinations of tubular, cystic, solid, and/or papillary growth. ACD-RCC frequently occurred in association with other renal tumor subtypes within the same kidney, including papillary RCC (14 patients), papillary adenomas (7 cases), clear cell papillary RCC (5 cases), clear cell RCC (1 case), and RCC, unclassified type (1 case). A previously undescribed pattern of perinephric and renal sinus adipose tissue involvement by dilated epithelial cysts with minimal or absent intervening capsule or renal parenchyma was identified in 20 cases (50%); these cysts were part of the tumor itself in 5 cases (25%) and were part of the non-neoplastic acquired cystic change in the background kidney in the remaining 15 cases (75%). Of the 24 cases (60%) with tissue available for immunohistochemical stains, 19 (79%) were positive for PAX8, 20 (83%) showed negative to patchy expression of cytokeratin 7, and 24 (100%) were both positive for AMACR and negative for CD117. Fumarate hydratase expression was retained in all tumors, including those with nuclear features resembling fumarate hydratase-deficient RCCs. Of the 36 patients (90%) with available follow-up information, 4 (11%) experienced adverse events: 2 patients developed a local recurrence, 1 patient experienced multiple visceral metastases and subsequently died of disease, and 1 patient developed metastases to regional lymph nodes only. One local recurrence and the lymph node only metastasis both had an unusual, exclusively cystic pattern of growth. In summary, we present the largest clinicopathologic series of ACD-RCC to date and describe previously unreported cystic patterns of local soft tissue involvement and recurrence/metastases.
Biodegradable and Dual‐Responsive Polypeptide‐Shelled Cyclodextrin‐Containers for Intracellular Delivery of Membrane‐Impermeable Cargo (2021)

The transport of membrane impermeable compounds into cells is a prerequisite for the efficient cellular delivery of hydrophilic and amphiphilic compounds and drugs. Transport into the cell's cytosolic compartment should ideally be controllable and it should involve biologically compatible and degradable vehicles. Addressing these challenges, nanocontainers based on cyclodextrin amphiphiles that are stabilized by a biodegradable peptide shell are developed and their potential to deliver fluorescently labeled cargo into human cells is analyzed. Host-guest mediated self-assembly of a thiol-containing short peptide or a cystamine-cross-linked polypeptide shell on cyclodextrin vesicles produce short peptide-shelled (SPSV<sub>ss</sub> ) or polypeptide-shelled vesicles (PPSV<sub>ss</sub> ), respectively, with redox-responsive and biodegradable features. Whereas SPSV<sub>ss</sub> are permeable and less stable, PPSV<sub>ss</sub> effectively encapsulate cargo and show a strictly regulated release of membrane impermeable cargo triggered by either reducing conditions or peptidase treatment. Live cell experiments reveal that the novel PPSV<sub>SS</sub> are readily internalized by primary human endothelial cells (human umbilical vein endothelial cells) and cervical cancer cells and that the reductive microenvironment of the cells' endosomes trigger release of the hydrophilic cargo into the cytosol. Thus, PPSV<sub>SS</sub> represent a highly efficient, biodegradable, and tunable system for overcoming the plasma membrane as a natural barrier for membrane-impermeable cargo.
Energy Efficiency Improvements in Software-Based Video Encoding (2023)

In this paper, we discuss the evolution in energy efficiency for software-based encoding on general-purpose processors, along with recent trends that enable increasingly power-efficient video encoding. We provide an overview of different contributing factors that have led to a massive increase in software-based performance, along with innovations that are leading to further efficiency improvements.
A Novel Clock Tree Aware Placement Methodology for Single Flux Quantum (SFQ) Logic Circuits (2021)

In a single-flux-quantum (SFQ) circuit, almost all cells need to receive the clock signal which incurs a high clock routing overhead. Besides, the clock tree of an SFQ circuit requires the insertion of a clock splitter cell at every tree branching point which renders the conventional design flow of placement followed by clock tree synthesis ineffective to obtain a high quality clock tree with low clock skew. To address these issues, we propose a two-stage global placement methodology and a placement refinement algorithm after placement legalization. Our two-stage global placement methodology first applies a conventional global placement algorithm to place the cells in the given SFQ circuit evenly, which is followed by clock tree synthesis and clock splitter insertion, and then performs a second stage of global placement to re-place both the original cells and clock splitters at the same time. In the second global placement stage, the look-ahead legalization technique is used to spread out the original cells and the clock splitters, and the clock tree is re-synthesized several times to obtain an optimized clock tree topology such that there are little overlaps of the clock splitters with the original circuit cells. In addition, the total wirelength of data signals and clock signal is optimized concurrently. After legalizing the placement of all cells, our placement refinement method can be run to further reduce the clock skew. Compared with the previous state-of-the-art work, on average we can reduce the total half-perimeter wirelength and clock skew by 9% and 31%. respectively.
Oppositional biogeography-based optimization (2009)

We propose a novel variation to biogeography-based optimization (BBO), which is an evolutionary algorithm (EA) developed for global optimization. The new algorithm employs opposition-based learning (OBL) alongside BBO's migration rates to create oppositional BBO (OBBO). Additionally, a new opposition method named quasi-reflection is introduced. Quasi-reflection is based on opposite numbers theory and we mathematically prove that it has the highest expected probability of being closer to the problem solution among all OBL methods. The oppositional algorithm is further revised by the addition of dynamic domain scaling and weighted reflection. Simulations have been performed to validate the performance of quasi-opposition as well as a mathematical analysis for a single-dimensional problem. Empirical results demonstrate that with the assistance of quasi-reflection, OBBO significantly outperforms BBO in terms of success rate and the number of fitness function evaluations required to find an optimal solution.
Hybrid Signal-and-Link-Parametric Speech Quality Measurement for VoIP Communications (2008)

A hybrid signal-and-link-parametric approach to speech quality measurement for voice-over-Internet protocol (VoIP) communications is described. Connection parameters are used to determine a base quality representative of the transmission link. Degradation factors, computed from perceptual features extracted from the decoded speech signal, are used to quantify distortions not captured by the connection parameters. The algorithm is tested on speech degraded by acoustic noise, temporal clippings, and noise suppression artifacts, thus simulating degradations present in wireless-VoIP tandem connections. Hybrid measurement is shown to overcome the limitations of pure link parametric and pure signal-based measurement methods, resulting in better measurement accuracy for modern VoIP communications. In addition, the proposed algorithm incurs modest computational overhead relative to pure link parametric measurement and attains up to 88% reduction in processing time relative to the ITU-T standard P.563 signal-based algorithm.
Role of MUC4 in idiopathic pulmonary fibrosis (2018)

<b>Background:</b> Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive and irreversible form of fibrotic intersticial lung disease, characterized by uncontrolled fibroblast proliferative processes and alveolar type II epithelial dysfunction. MUC4, a multi-domain transmembrane glycoprotein, is often overexpressed in epithelial cancers, with consequences for the biological properties, involved in cellular processes related to IPF. However, the role of MUC4 in IPF has not beet studied yet. <b>Objective:</b> To analyze the implication of MUC4 in IPF <b>Methods:</b> Lung tissue from 14 healthy and 14 IPF patients was obtained. MUC4 expression was analyzed by western blot, RT-PCR and immunohistochemistry. The effect of MUC4 on TGFβ1-induced epithelial to mesenchymal transition (EMT) and fibroblast to myofibroblast transition (FMT) was determined in alveolar type II A549 cells and lung fibroblasts MRC5 silenced with siRNA-MUC4. HEK293 cells with MUC4-inducible overexpression construct was used to evaluate EMT process. <b>Results:</b> MUC4 protein and mRNA expression were increased in lung tissue of IPF patients and mainly located in hyperplastic alveolar type II cells and fibrotic foci areas. TGFβ1 promoted larger EMT by increasing alpha smooth muscle actin, collagen type I, SLUG and SNAIL, and decreasing E-cadherin expression in wild type cells than in siRNA-MUC4 cells. Similar results were observed in the TGFβ1-induced FMT process. Likewise, TGFβ1 induced larger EMT when MUC4 expression was over-induced, independent of TGFβ1 receptor expression <b>Conclusions:</b> MUC4 expression is increased in IPF lungs and collaborates with TGFβ1 to induce EMT and FMT cellular transformations. Pharmacologic targeting of MUC4 may be a promising option for the treatment of IPF.