gebhart/patrepeval huggingface dataset:
Efficient multi-channel signal detection algorithms for cognitive radio systems in TV white space (2012)

In this paper, we propose novel spectrum sensing algorithms to detect multi-channel CR signal in TV white space. Most of CR systems in TV white space are considering multi-channel operation to support enhanced system throughput. Therefore, spectrum sensing algorithm to detect multi-channel CR system is essentially required for coexistence in TV white space. The proposed algorithms can detect various types of multi-channel CR signal with reasonable detection performance. By employing the proposed algorithms, we can contribute to efficient implementation of spectrum sensing process as well as intelligent coexistence mechanisms in TV white space.
Optimal adaptation decision-taking for terminal and network quality-of-service (2005)

In order to cater to the diversity of terminals and networks, efficient, and flexible adaptation of multimedia content in the delivery path to end consumers is required. To this end, it is necessary to associate the content with metadata that provides the relationship between feasible adaptation choices and various media characteristics obtained as a function of these choices. Furthermore, adaptation is driven by specification of terminal, network, user preference or rights based constraints on media characteristics that are to be satisfied by the adaptation process. Using the metadata and the constraint specification, an adaptation engine can take an appropriate decision for adaptation, efficiently and flexibly. MPEG-21 Part 7 entitled Digital Item Adaptation standardizes among other things the metadata and constraint specifications that act as interfaces to the decision-taking component of an adaptation engine. This paper presents the concepts behind these tools in the standard, shows universal methods based on pattern search to process the information in the tools to make decisions, and presents some adaptation use cases where these tools can be used.
Guidelines for the understanding and management of pain in chronic pancreatitis (2017)

Abdominal pain is the foremost complication of chronic pancreatitis (CP). Pain can be related to recurrent or chronic inflammation, local complications or neurogenic mechanisms with corresponding changes in the nervous systems. Both pain intensity and the frequency of pain attacks have been shown to reduce quality of life in patients with CP. Assessment of pain follows the guidelines for other types of chronic pain, where the multidimensional nature of symptom presentation is taken into consideration. Quantitative sensory testing may be used to characterize pain, but is currently used in a research setting in advanced laboratories. For pain relief, current guidelines recommend a simple stepwise escalation of analgesic drugs with increasing potency until pain relief is obtained. Abstinence from alcohol and smoking should be strongly advised. Pancreatic enzyme therapy and antioxidants may be helpful as initial treatment. Endoscopic treatment can be used in patients with evidence of ductal obstruction and may be combined with extracorporeal shock wave lithothripsy. The best candidates are those with distal obstruction of the main pancreatic duct and in early stage of disease. Behavioral interventions should be part of the multidisciplinary approach to chronic pain management particularly when psychological impact is experienced. Surgery should be considered early and after a maximum of five endoscopic interventions. The type of surgery depends on morphological changes of the pancreas. Long-term effects are variable, but high success rates have been reported in open studies and when compared with endoscopic treatment. Finally, neurolytical interventions and neuromodulation can be considered in difficult patients.
Data from Angiopoietin-2–Dependent Spatial Vascular Destabilization Promotes T-cell Exclusion and Limits Immunotherapy in Melanoma (2023)

&lt;div&gt;Abstract&lt;p&gt;T-cell position in the tumor microenvironment determines the probability of target encounter and tumor killing. CD8&lt;sup&gt;+&lt;/sup&gt; T-cell exclusion from the tumor parenchyma is associated with poor response to immunotherapy, and yet the biology that underpins this distinct pattern remains unclear. Here we show that the vascular destabilizing factor angiopoietin-2 (ANGPT2) causes compromised vascular integrity in the tumor periphery, leading to impaired T-cell infiltration to the tumor core. The spatial regulation of ANGPT2 in whole tumor cross-sections was analyzed in conjunction with T-cell distribution, vascular integrity, and response to immunotherapy in syngeneic murine melanoma models. T-cell exclusion was associated with ANGPT2 upregulation and elevated vascular leakage at the periphery of human and murine melanomas. Both pharmacologic and genetic blockade of ANGPT2 promoted CD8&lt;sup&gt;+&lt;/sup&gt; T-cell infiltration into the tumor core, exerting antitumor effects. Importantly, the reversal of T-cell exclusion following ANGPT2 blockade not only enhanced response to anti-PD-1 immune checkpoint blockade therapy in immunogenic, therapy-responsive mouse melanomas, but it also rendered nonresponsive tumors susceptible to immunotherapy. Therapeutic response after ANGPT2 blockade, driven by improved CD8&lt;sup&gt;+&lt;/sup&gt; T-cell infiltration to the tumor core, coincided with spatial TIE2 signaling activation and increased vascular integrity at the tumor periphery where endothelial expression of adhesion molecules was reduced. These data highlight ANGPT2/TIE2 signaling as a key mediator of T-cell exclusion and a promising target to potentiate immune checkpoint blockade efficacy in melanoma.&lt;/p&gt;Significance:&lt;p&gt;ANGPT2 limits the efficacy of immunotherapy by inducing vascular destabilization at the tumor periphery to promote T-cell exclusion.&lt;/p&gt;&lt;p&gt;Watch the interview with Minah Kim, PhD, recipient of the 2025 &lt;i&gt;Cancer Research&lt;/i&gt; Early Career Award: &lt;a href="https://vimeo.com/1100471173" target="_blank"&gt;https://vimeo.com/1100471173&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;
Enhanced UV-light stability of planar heterojunction perovskite solar cells with caesium bromide interface modification (2016)

CsBr interface modification simultaneously enhances the device power conversion efficiency and improves the device resilience to UV irradiation.
Caractérisation de filtrabilité par la filtration centrifuge – CEFU (2017)

Il existe une grande diversite des techniques pour la mesure de la filtrabilite de suspensions. Cependant, les techniques existantes ne sont pas adaptees a la caracterisation rapide d’un grand nombre de petits echantillons (surtout, des echantillons liquides).
Depuis quelques annees l’Universite Technologique de Compiegne et la societe LUM GmbH travaillent sur le developpement de la centrifugation analytique pour la caracterisation acceleree de la filtrabilite des suspensions et dispersions. La methode consiste a realiser des essais de filtration a l’aide de la centrifugation analytique puis a analyser les courbes de la filtration centrifuge obtenues pour en extraire des proprietes des solutions.
La comparaison simple des courbes de filtration obtenues permet de classifier les echantillons selon leur filtrabilite. De plus, l’analyse des courbes de filtration permet la caracterisation quantitative de la filtrabilite : determination de la resistance de la membrane colmatee, de la resistance specifique du gâteau et des proprietes de reversibilite de la compression du gâteau. La methode d’analyse des donnees depend de la nature des echantillons : deux methodes adaptees pour des suspensions concentrees et des solutions des colloides sont validees actuellement .
Le congres MemPro6 sera l’occasion de presenter les resultats les plus recents sur l’ultra- et la microfiltration centrifuge pour la caracterisation de la filtrabilite des solutions
Passively synchronized multimillijoule optical parametric chirped pulse amplifier with a positive-dispersion sub-10-fs pulse compression (2006)

Multimillijoule few-cycle pulses supported by a broadband stretcher and a low-loss compressor are demonstrated. The seed of the non-collinear optical parametric amplifier and of the Nd:YAG pump laser is derived from a single Ti:sapphire oscillator.
Supplementary Figure 3 from Antiangiogenic and Antimetastatic Activity of JAK Inhibitor AZD1480 (2023)

&lt;p&gt;PDF file - 2.3K&lt;/p&gt;
SMOS image reconstruction quality assessment (2014)

The aim of this paper is to investigate on these image reconstruction limitations in order to eventually design an improved methodology, able to further reduce the present artifacts of the SMOS images.
Reflection on the psychiatric financial allocation in France (2016)

For 25 years work has been underway in France for the implementation of ă an alternative to public financing of health care. In the absence of ă progress, some regional health agencies are engaged in work related to ă the reallocation of public finances between psychiatric institutions. We ă propose a reflection with suggestion on the method proposed by the ă Provence Alpes Cote d'Azur Regional Health Agency. Without questioning ă the need for a reallocation of resources between psychiatric ă institutions, the method proposed here needs to evolve further to be ă applied in a legitimate and appropriate manner. There is a kind of ă urgency for a reallocation of resources between psychiatric institutions ă in France, but it implies a collective thinking and especially the ă definition of evaluation procedures for the selected models. These ă conditions are necessary to guarantee the quality of French psychiatry ă and equity in access to psychiatric care. (C) 2016 L'Encephale, Paris.
Host-Derived Angiopoietin-2 Affects Early Stages of Tumor Development and Vessel Maturation but Is Dispensable for Later Stages of Tumor Growth (2009)

The angiopoietin/Tie2 system has been identified as the second vascular-specific receptor tyrosine kinase system controlling vessel assembly, maturation, and quiescence. Angiopoietin-2 (Ang-2) is prominently up-regulated in the host-derived vasculature of most tumors, making it an attractive candidate for antiangiogenic intervention. Yet, the net outcome of Ang-2 functions on tumor angiogenesis is believed to be contextual depending on the local cytokine milieu. Correspondingly, Ang-2 manipulatory therapies have been shown to exert protumorigenic as well as antitumorigenic effects. To clarify the role of Ang-2 for angiogenesis and tumor growth in a definite genetic experimental setting, the present study was aimed at comparatively studying the growth of different tumors in wild-type and Ang-2-deficient mice. Lewis lung carcinomas, MT-ret melanomas, and B16F10 melanomas all grew slower in Ang-2-deficient mice. Yet, tumor growth in wild-type and Ang-2-deficient mice dissociated during early stages of tumor development, whereas tumor growth rates during later stages of primary tumor progression were similar. Analysis of the intratumoral vascular architecture revealed no major differences in microvessel density and perfusion characteristics. However, diameters of intratumoral microvessels were smaller in tumors grown in Ang-2-deficient mice, and the vasculature had an altered pattern of pericyte recruitment and maturation. Ang-2-deficient tumor vessels had higher pericyte coverage indices. Recruited pericytes were desmin and NG2 positive and predominately alpha-smooth muscle actin negative, indicative of a more mature pericyte phenotype. Collectively, the experiments define the role of Ang-2 during tumor angiogenesis and establish a better rationale for combination therapies involving Ang-2 manipulatory therapies.
Semantic Context Classification by Means of Fuzzy Set Theory (2006)

Comprehension of semantic meaning is at the heart of modem natural language processing (NLP). Currently, research in statistical NLP has focused primarily on the statistical representation of lexical combinational occurrences. Due to the limitations of current computer technology, however, representing a lexical combination is restricted to a finite length. As such, we focus attention on obtaining approximate but simpler and satisfactory solutions through soft computing techniques; in particular, the fuzzy set theory. It is difficult, however, to apply conventional fuzzy membership functions for general linguistic items. As such, we specifically propose a method of constructing membership functions for linguistic items based on the level of semantic patterns. For testing purpose, the proposed methodology is applied in text classification and the accompanying experimental results are compared with the output provided by a probabilistic based approach.
Selective biochemical labeling of Campylobacter jejuni cell-surface glycoconjugates (2015)

The display of cell-surface glycolipids and glycoproteins is essential for the motility, adhesion and colonization of pathogenic bacteria such as Campylobacter jejuni. Recently, the cell-surface display of C. jejuni glycoconjugates has been the focus of considerable attention; however, our understanding of the roles that glycosylation plays in bacteria still pales in comparison with our understanding of mammalian glycosylation. One of the reasons for this is that carbohydrate metabolic labeling, a powerful tool for studying mammalian glycans, is difficult to establish in bacterial systems and has a significantly more limited scope. Herein, we report the development of an alternative strategy that can be used to study bacterial cell-surface glycoconjugates. Galactose oxidase (GalO) is used to generate an aldehyde at C-6 of terminal GalNAc residues of C. jejuni glycans. This newly generated aldehyde can be conjugated with aminooxy-functionalized purification tags or fluorophores. The label can be targeted towards specific glycoconjugates using C. jejuni mutant strains with N-glycan or lipo-oligosaccharides (LOS) assembly defects. GalO-catalyzed labeling of cell-surface glycoproteins with biotin, allowed for the purification and identification of known extracellular N-linked glycoproteins as well as a recently identified O-linked glycan modifying PorA. To expand the scope of the GalO reaction, live-cell fluorescent labeling of C. jejuni was used to compare the levels of surface-exposed LOS to the levels of N-glycosylated, cell-surface proteins. While this study focuses on the GalO-catalyzed labeling of C. jejuni, it can in principle be used to evaluate glycosylation patterns and identify glycoproteins of interest in any bacteria.
Open Problems in Cooperative AI (2020)

Problems of cooperation--in which agents seek ways to jointly improve their welfare--are ubiquitous and important. They can be found at scales ranging from our daily routines--such as driving on highways, scheduling meetings, and working collaboratively--to our global challenges--such as peace, commerce, and pandemic preparedness. Arguably, the success of the human species is rooted in our ability to cooperate. Since machines powered by artificial intelligence are playing an ever greater role in our lives, it will be important to equip them with the capabilities necessary to cooperate and to foster cooperation. We see an opportunity for the field of artificial intelligence to explicitly focus effort on this class of problems, which we term Cooperative AI. The objective of this research would be to study the many aspects of the problems of cooperation and to innovate in AI to contribute to solving these problems. Central goals include building machine agents with the capabilities needed for cooperation, building tools to foster cooperation in populations of (machine and/or human) agents, and otherwise conducting AI research for insight relevant to problems of cooperation. This research integrates ongoing work on multi-agent systems, game theory and social choice, human-machine interaction and alignment, natural-language processing, and the construction of social tools and platforms. However, Cooperative AI is not the union of these existing areas, but rather an independent bet about the productivity of specific kinds of conversations that involve these and other areas. We see opportunity to more explicitly focus on the problem of cooperation, to construct unified theory and vocabulary, and to build bridges with adjacent communities working on cooperation, including in the natural, social, and behavioural sciences.
Distributed co-operating processes and transactions (1983)

As part of our research in the Archons [Jensen 82] project on decentralized computers, we have developed a relational model of data consistency to replace the conventional serialization model for reasoning about the relationships among distributed system data objects in general and state variables in particular. We not only permit but encourage such relationships to be probabilistic, in the interest of efficiency. This model leads to a new formulation of co-operating processes, and thence to the notion of co-operating transactions: co-operating processes whose actions are made atomic for the sake of reliability. We believe that co-operating processes are valuable in a computer network, but essential in a decentralized computer [Jensen 82] where the conceptually singular but physically dispersed global operating system requires a transaction facility in the kernel [Jensen 80]. These ideas are illustrated by examples from our initial experience in applying the model to the Accent network operating system and other system software of the Spice personal computing network. This document is intended to be an overview of the synchronization effort in the Archons project, and future publications will elaborate on many of the individual points touched on here.
Squash Reuse via a Simplified Implementation of Register Integration (2001)

Register integration (or simply integration) is a mechanism for the direct reuse of previously computed results. Integration uses data-dependence relationships to test for and establish reusability. In this paper, we use integration to implement squash reuse, the salvaging of instruction results that were needlessly discarded during the course of sequential recovery from a control- or data- mis-speculation. In integration, the results of squashed instructions remain in the physical register file past mis-speculation recovery. As the processor re-traces portions of the squashed path, an auxiliary table is used to search the physical register file for the registers belonging to the corresponding squashed instances of re-traced instructions. If found, a squashed register is re-validated by a simple update of the rename table. The integrating retraced instruction completes instantly and bypasses the out-of-order core. Integration reduces contention for execution resources, collapses dependent chains of operations and accelerates branch resolution. It achieves this using only rename-table manipulations; without reading or writing the physical registers themselves. We present a simplified implementation of register integration that uses explicit states to manage physical registers and in-order pre-retirement re-execution (much simpler than general out-of-order execution) to guarantee integration correctness. We also introduce a simple mechanism that learns from past integration
Enantioselective Alkynylation of 2‐Trifluoroacetyl Imidazoles Catalyzed by Bis‐Cyclometalated Rhodium(III) Complexes Containing Pinene‐Derived Ligands (2016)

Chiral rhodium(III) complexes containing two cyclometalating 2-phenyl-5,6-(S,S)-pinenopyridine ligands and two additional acetonitriles are introduced as excellent catalysts for the highly enantioselective alkynylation of 2-trifluoroacetyl imidazoles. Whereas the ligand-based chirality permits the straightforward synthesis of the complexes in a diastereomerically and enantiomerically pure fashion, the metal-centered chirality is responsible for the asymmetric induction over the course of the catalysis. For comparison, the analogous iridium congeners provide only low enantioselectivity, and previously reported benzoxazole- and benzothiazole-based catalysts do not show any catalytic activity for this reaction under standard reaction conditions.
18F-FDG PET/CT for Early Prediction of Response to Neoadjuvant Lapatinib, Trastuzumab, and Their Combination in HER2-Positive Breast Cancer: Results from Neo-ALTTO (2013)

Early metabolic assessment using (18)F-FDG PET/CT can identify patients with an increased likelihood of pCR after neoadjuvant trastuzumab, lapatinib, or their combination when given with chemotherapy.
Active lower limb orthosis with one degree of freedom for people with paraplegia (2017)

The main challenges of designing devices for paraplegic walking can be summarized into three groups, stability and comfort, high efficiency or low energy consumption, dimensions and weight. A new economical device for people with paraplegia which tackles all problems of the three groups is introduced in this paper. The main idea of this device is based on HALO mechanism. HALO is compact passive medial hip joint orthosis with contralateral hip and ankle linkage, which keeps the feet always parallel to the ground and assists swinging the leg. The medial hip joint is equipped with one actuator in the new design and the new orthosis is called @halo. Due to this update, we can achieve more stable and smoother walking patterns with decreased energy consumption of the users, yet maintain its compact and lightweight features. It is proven by the results from preliminary experiments with able-bodied subjects during which the same device with and without actuator was evaluated. Waddling and excessive vertical elevation of the center of gravity were decreased by 40% with significantly smaller standard deviations in case of the active orthosis. There was 52% less energy spent by the user wearing @halo which was calculated from the vertical excursion difference. There was measured 38.5% bigger impulse in crutches while using passive orthosis. The new @halo device is the first active orthosis for lower limbs with just one actuated degree of freedom for users with paraplegia.
Performances of Co2+-Substituted NiMoO4 Nanorods in a Solid-State Hybrid Supercapacitor (2023)

A hydrothermal method was conducted to synthesize Ni(1−α)Co(α)MoO4 (α = 0, 0.1, 0.3, and 0.5 M) nanorods, which were proven as excellent electrode materials in a hybrid supercapacitor. Their electrochemical properties were also dependent on the Ni/Co ratio as demonstrated by different electrochemical techniques. Ni0.5Co0.5MoO4 (α = 0.5 M) offered specific capacity (Qg) = 354 Cg–1@1 Ag–1, a remarkable specific capacity with a notable retention capacity of 92% after 8000 repeated cycles at 10 Ag–1. Ni0.5Co0.5MoO4 with a high surface area outperformed the mono-metallic (NiMoO4) and bimetallic (Ni0.9Co0.1MoO4 and Ni0.7Co0.3MoO4) nanostructures. The hybrid supercapacitor (Ni0.5Co0.5MoO4//activated carbon) delivered a maximum Qcell of 53 Cg–1 at 1 Ag–1 with an energy density of 16.2 Wh kg–1 and power density of 725 W kg–1.
Autonomous intelligent transponder enabling adaptive network optimization in a live network field trial (2019)

We introduce a new transponder type for optical networks called an autonomous intelligent transponder (AIT). It is capable of autonomously adapting transmission parameters to the quality of the link over which it is transmitting. This concept fills one of the main gaps toward the realization of flexible, aware optical networks. We present experimental results to validate the AIT concept as part of a field trial in Telia Carrier’s live optical European backbone network.