gebhart/patrepeval huggingface dataset:
A Machine Learning Approach for CQI Feedback Delay in 5G and Beyond 5G Networks (2021)

5G and Beyond 5G Networks apply Adaptive Modulation and Coding to adjust the downlink modulation order and coding rate according to the channel condition, reported by the user equipment. However, the delay incurred in this feedback process may make the channel quality indicator (CQI) outdated and cause severe degradation in the user communication. This paper proposes a machine learning-based approach to deal with the outdated CQI problem. It takes into account the UE context, current signal-to-interference-plus-noise ratio (SINR), and the delay length to compute the updated SINR to be translated into a CQI value. Our proposal acts as a multi-variable function and runs at the UE side, neither requiring any modifications in the signalling between the 5G base station (gNB) and the UE nor overcharging the gNB. Results in terms of mean squared error (MSE) by using 5G network simulation data show its high accuracy and feasibility to be adopted in 5G networks.
Removal Of Baboon And Human Antiporcine Igg And Igm Natural Antibodies By Immunoadsorption (1995)

Transplantation is published monthly and is the most cited and influential journal in the field, with more than 25,000 citations per year. The journal celebrated its 50th year in 2016. Transplantation has been the trusted source for extensive and timely coverage of the most important advances in transplantation. The Editors and Editorial Board are an international group of research and clinical leaders that includes many pioneers of the field, representing a diverse range of areas of expertise. This capable editorial team provides thoughtful and thorough peer review, and delivers rapid, careful and insightful editorial evaluation of all manuscripts submitted to the journal.
Adaptive Low-Power Bus Encoding Based on Weighted Code Mapping (2006)

In this paper, we propose an adaptive low-power bus encoding algorithm based on weighted code mapping (WCM). The WCM algorithm transforms an original bus data vector to a low-energy code through one-to-one mapping. The code mapping is determined by the data probability distribution in the original sequence. The WCM algorithm considers both the self and coupling capacitance of the bus wires. A window-based adaptive encoding algorithm is proposed to improve the energy saving by adaptively changing the code mapping for different data probability characteristics. Experimental results show that the proposed algorithm outperforms the existing coding algorithms by either significantly lower computation/hardware complexity or higher energy savings.
Epithelial ovarian cancer: Evolution of management in the era of precision medicine (2019)

Ovarian cancer is the second most common cause of gynecologic cancer death in women around the world. The outcomes are complicated, because the disease is often diagnosed late and composed of several subtypes with distinct biological and molecular properties (even within the same histological subtype), and there is inconsistency in availability of and access to treatment. Upfront treatment largely relies on debulking surgery to no residual disease and platinum-based chemotherapy, with the addition of antiangiogenic agents in patients who have suboptimally debulked and stage IV disease. Major improvement in maintenance therapy has been seen by incorporating inhibitors against poly (ADP-ribose) polymerase (PARP) molecules involved in the DNA damage-repair process, which have been approved in a recurrent setting and recently in a first-line setting among women with BRCA1/BRCA2 mutations. In recognizing the challenges facing the treatment of ovarian cancer, current investigations are enlaced with deep molecular and cellular profiling. To improve survival in this aggressive disease, access to appropriate evidence-based care is requisite. In concert, realizing individualized precision medicine will require prioritizing clinical trials of innovative treatments and refining predictive biomarkers that will enable selection of patients who would benefit from chemotherapy, targeted agents, or immunotherapy. Together, a coordinated and structured approach will accelerate significant clinical and academic advancements in ovarian cancer and meaningfully change the paradigm of care.
Multiparadigm Data Storage for Enterprise Applications (2010)

Regardless of the paradigm used to model the application domain, most enterprise applications use the relational model for data storage. Relational database technology is mature, widely understood, and successfully deployed in countless applications. However, its dominance has also had some undesirable consequences for application development. For an application that models the business logic in an object-oriented way, the developer faces an impedance mismatch between the application's object model and the data's relational model. Object-relational mapping (ORM) frameworks exist to bridge this divide, but ORMs aren't trivial to use and often introduce more complexity than the problem they solve.
White photoluminescent material based on a functional polysiloxane complex with lanthanide ions (Eu3+ and Dy3+) (2013)

This paper reports on a white light-emitting, polysiloxane-based material obtained by coordinating lanthanide ions (Eu3+ and Dy3+) into α, ω-N,N′-diphenylmalonamide terminated polydimethylsiloxane (PMP). PMP is a new functional polysiloxane designed and synthesized in this work. The luminescence emissions of the raw materials and the composite material were measured. The composite material produced a white luminescence with Commission Internationale de l'Eclairage coordinates of (0.32, 0.34). The polysiloxane backbone plays a role in the luminescence performance of both the PMP and the composite material. Interactions between the terminal groups of the PMP host and the rare earth ions, as revealed by infrared and fluorescence data, contribute to the emission via the antenna effect. The surface morphologies of PMP and the composite material are smooth platforms piled up by layer stacking, as observed with SEM. DSC data were also collected to research the thermal behaviour of these materials. The introduction of phenyl amide groups led to a quantum yield of 0.3% for the PMP–Eu3+–Dy3+ composite material.
Leading for sustainability: implementing the tasks of leadership (2009)

Purpose The purpose of this paper is to expand the field of sustainability/corporate social responsibility research to include a focus on leadership. It aims to present an exploratory study of senior leaders in organizations formally adopting principles of sustainability and how these leaders enact the tasks of leadership: setting direction, creating alignment, and maintaining commitment within the context of sustainability. Design/methodology/approach The study uses a qualitative approach, sampling senior executives from organizations formally adopting sustainability practices and using a structured interview to uncover their leadership practices related to sustainability. Findings Leaders adopting sustainability practices are similar to other “effective” leaders and yet they also have additional capacity and mindset to include a wider expanse of stakeholders and a different mindset as to the purpose of organizations. Research limitations/implications Limited sample of senior executives/CEOs, as well as a difficulty in attesting an organization's level of commitment to sustainability; this research links the field of leadership to the field of sustainability and calls for a more in‐depth investigation into the roles leaders and leadership play in the successful implementation of sustainability practices. Originality/value Leaders interested in pursuing a sustainability agenda should pay attention to how the concept is framed and introduced into the organization; they should build capacity in their systems (educational, communication, rewards, performance, etc.) and culture to support sustainability, and broad and deep stakeholders engagement is essential for success.
Intranasal Delivery of Neuropeptides (2011)

A major barrier to entry of neuropeptides into the brain is low bioavailability and presence of the blood-brain barrier. Intranasal delivery of neuropeptides provides a potentially promising alternative to other routes of administration, since a direct pathway exists between the olfactory neuroepithelium and the brain. Use of the rat as an animal model in nose to brain delivery of neuropeptides allows for several advantages, including a large surface area within the nasal cavity dedicated to olfactory epithelium and robust neuronal pathways extending to and from most areas of the brain from the nose via the olfactory cortex. A major disadvantage to using rats for nose to brain delivery is the difficulty in selectively targeting the posterior olfactory epithelium (which facilitates delivery to the brain) over the more anterior respiratory epithelium (which facilitates delivery to the lungs and secondarily to the peripheral blood) in the nasal cavity. We have developed a novel delivery system that consists of surgically implanting stainless-steel cannulas in the dorsal aspect of the nasal cavity overlying the olfactory neuroepithelium, thereby allowing neuropeptide compounds to bypass the respiratory epithelium.
Modulation of QT Interval by Cardiac Sympathetic Nerve Sprouting and the Mechanisms of Ventricular Arrhythmia in a Canine Model of Sudden Cardiac Death (2001)

NGF infusion to the LSG in dogs with MI and CAVB resulted in increased QT interval and incidence of ventricular tachycardia, ventricular fibrillation, and SCD, whereas NGF infusion to the RSG shortened QT interval and reduced the incidence of ventricular tachycardia. These findings indicate that QT interval prolongation is causally related to the occurrence of ventricular arrhythmia in dogs with nerve sprouting, MI, and CAVB.
Marine current turbines: Pioneering the development of marine kinetic energy converters (2007)

This paper gives the rationale and background to an already advanced research and development (R&D) programme aimed at developing technology for the commercial exploitation of kinetic energy from marine currents. This is followed by a brief overview of the characteristics of the tidal stream resource, the technical principles by which it may be exploited, and the key technical challenges that need to be overcome. The paper includes a description of the pioneering ‘Seaflow’ Project involving the installation and testing, since May 2003, of a prototype 300 kW tidal turbine 3 km off Lynmouth. The next stage of Marine Current Turbines Ltd's R&D programme is then described: this involves the development of a 1 MW twin axial-flow rotor system, called ‘Seagen’ which is planned for installation early in 2007. The installation and testing of ‘Seagen’ will mark a landmark stage in the R&D programme because it will form the basis for the commercial technology to follow. A brief outline of future plans beyond ‘Seagen’ is also given.
<i>In vitro</i> rescue immature oocytes – a literature review (2021)

Immature oocytes retrieved from <i>in vitro</i> fertilization (IVF) and clinical <i>in vitro</i> maturation (IVM) is a common problem, especially in patients with advanced age, poor ovarian response (POR), or polycystic ovary syndrome (PCOS). Considering there is no common name to describe this group of oocytes, we suggest naming all of immature oocytes retrieved from IVF and clinical IVM cycles as 'Medical Unusable Oocytes' (MUO) as none of them will be used for subsequent treatment and will eventually be discarded. Scientists attempt to improve the clinical utilization rate of MUO instead of discarding them. Rescue IVM and mitochondria supplementation may be available approaches to mature MUO. We propose a specific definition of rescue IVM, namely the cultivation and maturation of immature oocytes <i>in vitro</i> collected from IVF cycles with human chorionic gonadotropin (hCG) trigger. Rescue IVM is usually mixed up with clinical IVM. Clarification of the differences between rescue IVM and clinical IVM is necessary. This manuscript aims to clarify the rather confusing IVM procedures and review existing methods of improving rescue IVM, currently available information on the success rate, and explore the future possibility of rescue IVM serving as a promising tool in reproductive medicine.
Object-relational mapping with SqueakSave (2009)

Object persistence is an important aspect of application architectures and development processes. Different solutions in this field evolved over the last decades and new approaches are still subject to research. While object-oriented databases become increasingly popular, the usage of relational databases through an object-relational mapping layer is still one of the most widely adopted techniques. However, most object-relational frameworks require a considerable amount of mapping descriptions between object models and relational database schemas. This additional layer has to be maintained by developers along with the object model itself.
Micro-PET Imaging of α<SUB>v</SUB>β<SUB>3</SUB>-Integrin Expression with <SUP>18</SUP>F-Labeled Dimeric RGD Peptide (2004)

The alphav integrins, which act as cell adhesion molecules, are closely involved with tumor invasion and angiogenesis. In particular, alphavbeta3 integrin, which is specifically expressed on proliferating endothelial cells and tumor cells, is a logical target for development of a radiotracer method to assess angiogenesis and anti-angiogenic therapy. In this study, a dimeric cyclic RGD peptide E[c(RGDyK)]2 was labeled with 18F (t(1/2) = 109.7 min) by using a prosthetic 4-[18F]fluorobenzoyl moiety to the amino group of the glutamate. The resulting [18F]FB-E[c(RGDyK)]2, with high specific activity (200-250 GBq/micromol at the end of synthesis), was administered to subcutaneous U87MG glioblastoma xenograft models for micro-PET and autoradiographic imaging as well as direct tissue sampling to assess tumor targeting efficacy and in vivo kinetics of this PET tracer. The dimeric RGD peptide demonstrated significantly higher tumor uptake and prolonged tumor retention in comparison with a monomeric RGD peptide analog [18F]FB-c(RGDyK). The dimeric RGD peptide had predominant renal excretion, whereas the monomeric analog was excreted primarily through the biliary route. Micro-PET imaging 1 hr after injection of the dimeric RGD peptide exhibited tumor to contralateral background ratio of 9.5 +/- 0.8. The synergistic effect of polyvalency and improved pharmacokinetics may be responsible for the superior imaging characteristics of [18F]FB-E[c(RGDyK)]2.
Molybdenum Phosphosulfide: An Active, Acid‐Stable, Earth‐Abundant Catalyst for the Hydrogen Evolution Reaction (2014)

Introducing sulfur into the surface of molybdenum phosphide (MoP) produces a molybdenum phosphosulfide (MoP|S) catalyst with superb activity and stability for the hydrogen evolution reaction (HER) in acidic environments. The MoP|S catalyst reported herein exhibits one of the highest HER activities of any non-noble-metal electrocatalyst investigated in strong acid, while remaining perfectly stable in accelerated durability testing. Whereas mixed-metal alloy catalysts are well-known, MoP|S represents a more uncommon mixed-anion catalyst where synergistic effects between sulfur and phosphorus produce a high-surface-area electrode that is more active than those based on either the pure sulfide or the pure phosphide. The extraordinarily high activity and stability of this catalyst open up avenues to replace platinum in technologies relevant to renewable energies, such as proton exchange membrane (PEM) electrolyzers and solar photoelectrochemical (PEC) water-splitting cells.
The decolorize algorithm for contrast enhancing, color to grayscale conversion (2021)

We present a new contrast enhancing color to grayscale conversion algorithm which works in real-time. It incorporates novel techniques for image sampling and dimensionality reduction, sampling color differences by Gaussian pairing and analyzing color differences by predominant component analysis. In addition to its speed and simplicity, the algorithm has the advantages of continuous mapping, global consistency, and grayscale preservation, as well as predictable luminance, saturation, and hue ordering properties. We give an extensive range of examples and compare our method with other recently published algorithms.
Consistent Disaster Recovery for Microservices: the BAC Theorem (2018)

How do you back up a microservice? You dump its database. But how do you back up an entire application decomposed into microservices? In this article, we discuss the tradeoff between the availability and consistency of a microservice-based architecture when a backup of the entire application is being performed. We demonstrate that service designers have to select two out of three qualities: backup, availability, and/or consistency (BAC). Service designers must also consider how to deal with consequences such as broken links, orphan state, and missing state.
Endodermal Nodal-related signals and mesoderm induction in <i>Xenopus</i> (2000)

In Xenopus, mesoderm induction by endoderm at the blastula stage is well documented, but the molecular nature of the endogenous inductive signals remains unknown. The carboxy-terminal fragment of Cerberus, designated Cer-S, provides a specific secreted antagonist of mesoderm-inducing Xenopus Nodal-Related (Xnr) factors. Cer-S does not inhibit signalling by other mesoderm inducers such as Activin, Derrière, Vg1 and BMP4, nor by the neural inducer Xnr3. In the present study we show that Cer-S blocks the induction of both dorsal and ventral mesoderm in animal-vegetal Nieuwkoop-type recombinants. During blastula stages Xnr1, Xnr2 and Xnr4 are expressed in a dorsal to ventral gradient in endodermal cells. Dose-response experiments using cer-S mRNA injections support the existence of an endogenous activity gradient of Xnrs. Xnr expression at blastula can be activated by the vegetal determinants VegT and Vg1 acting in synergy with dorsal (beta)-catenin. The data support a modified model for mesoderm induction in Xenopus, in which mesoderm induction is mediated by a gradient of multiple Nodal-related signals released by endoderm at the blastula stage.
Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes (2008)

An efficient registration algorithm working on non-rigid 3D objects is presented. We formulate the registration as a discrete labe ling problem on MRFs model whose energy can be minimized by optimization techniques in the literature. Due to the huge search range in three-dimensional space, previous approaches produces a vast amount of labels for a node in the MRFs graph. To reduce the number of labels, we decompose a node into three nodes so that the labels in each node represent just one-dimensional displacement. This procedure introduces a factor node with a clique potential of size three, defining ternary interaction between the decomposed nodes. We convert the factor node into pairwise interactions and adopt the tree-r eweighted message passing technique, which guarantees the convergence of lower bound of the energy function. In experiments we use clinical and synthetically deformed 3D medical images. Result shows the proposed method enhances computational efficiency without loss of accuracy.
Agnostic System Identification for Monte Carlo Planning (2015)

While model-based reinforcement learning is often studied under the assumption that a fully accurate model is contained within the model class, this is rarely true in practice. When the model class may be fundamentally limited, it can be difficult to obtain theoretical guarantees. Under some conditions the DAgger algorithm promises a policy nearly as good as the plan obtained from the most accurate model in the class, but only if the planning algorithm is near-optimal, which is also rarely the case in complex problems. This paper explores the interaction between DAgger and Monte Carlo planning, specifically showing that DAgger may perform poorly when coupled with a sub-optimal planner. A novel variation of DAgger specifically for use with Monte Carlo planning is derived and is shown to behave far better in some cases where DAgger fails.
State-of-the-art technologies and devices for high-voltage integrated circuits (2007)

The current status of high-voltage power semiconductor devices and technologies for high-voltage integrated circuits is reviewed and the new trends in this field are discussed. The paper focuses on the concepts of the novel reduced surface field and state-of-the-art silicon technologies such as high-voltage silicon on insulator, which are expected to play an increasingly important role in power system on-chip manufacturing. Lateral devices such as LDMOSFETs, superjunctions and lateral insulated gate bipolar transistors are discussed. The paper also touches on emerging technologies such as unified MEMS-IC for enhanced breakdown capability and isolation. Finally, an overview of the fierce fight of technology survival in terms of specific on-state resistance against breakdown voltage is given.
Multispectral Remote Sensing Utilization for Monitoring Chlorophyll-a Levels in Inland Water Bodies in Jordan (2020)

This study focuses on the utilization of multispectral satellite images for remote water-quality evaluation of inland water body in Jordan. The geophysical parameters based on water's optical properties, due to the presence of optically active constituents, are used to determine contaminant level in water. It has a great potential to be employed for continuous and cost-effective water-quality monitoring and leads to a reliable regularly updated tool for better water sector management. Three sets of water samples were collected from three different dams in Jordan. Chl-a concentration of the water samples was measured and used with corresponding Sentinel 2 surface reflectance (SR) data to develop a predictive model. Chl-a concentrations and corresponding SR data were used to calibrate and validate different models. The predictive capability of each of the investigated models was determined in terms of determination coefficient (<i>R</i> <sup>2</sup>) and lowest root mean square error (RMSE) values. For the investigated sites, the B3/B2 (green/blue bands) model and the Ln (B3/B2) model showed the best overall predictive capability of all models with the highest <i>R</i> <sup>2</sup> and the lowest RMSE values of (0.859, 0.824) and (30.756 mg/m<sup>3</sup>, 29.787 mg/m<sup>3</sup>), respectively. The outcome of this study on selected sites can be expanded for future work to cover more sites in the future and ultimately cover all sites in Jordan.
Mouse Models of Diabetic Nephropathy (2004)

Mice provide an experimental model of unparalleled flexibility for studying mammalian diseases. Inbred strains of mice exhibit substantial differences in their susceptibility to the renal complications of diabetes. Much remains to be established regarding the course of diabetic nephropathy (DN) in mice as well as defining those strains and/or mutants that are most susceptible to renal injury from diabetes. Through the use of the unique genetic reagents available in mice (including knockouts and transgenics), the validation of a mouse model reproducing human DN should significantly facilitate the understanding of the underlying genetic mechanisms that contribute to the development of DN. Establishment of an authentic mouse model of DN will undoubtedly facilitate testing of translational diagnostic and therapeutic interventions in mice before testing in humans.