gebhart/patrepeval huggingface dataset:
The Effects of Feature Sizes in Selectively Laser Melted Ti-6Al-4V Parts on the Validity of Optimised Process Parameters (2019)

Ti-6Al-4V is a popular alloy due to its high strength-to-weight ratio and excellent corrosion resistance. Many applications of additively manufactured Ti-6Al-4V using selective laser melting (SLM) have reached technology readiness. However, issues linked with metallurgical differences in parts manufactured by conventional processes and SLM persist. Very few studies have focused on relating the process parameters to the macroscopic and microscopic properties of parts with different size features. Therefore, the aim of this study was to investigate the effect of the size of features on the density, hardness, microstructural evolution, and mechanical properties of Ti-6Al-4V parts fabricated using a fixed set of parameters. It was found that there is an acceptable range of sizes that can be produced using a fixed set of parameters. Beyond a specific window, the relative density decreased. Upon decreasing the size of a cuboid from (5 × 5 × 5 mm) to (1 × 1 × 5 mm), porosity increased from 0.3% to 4.8%. Within a suitable size range, the microstructure was not significantly affected by size; however, a major change was observed outside the acceptable size window. The size of features played a significant role in the variation of mechanical properties. Under tensile loading, decreasing the gauge size, the ultimate and yield strengths deteriorated. This investigation, therefore, presents an understanding of the correlation between the feature size and process parameters in terms of the microscopic and macroscopic properties of Ti-6Al-4V parts manufactured using SLM. This study also highlights the fact that any set of optimized process parameters will only be valid within a specific size window.
Dose-dependent consequences of sub-chronic fentanyl exposure on neuron and glial co-cultures (2022)

Fentanyl is one of the most common opioid analgesics administered to patients undergoing surgery or for chronic pain management. While the side effects of chronic fentanyl abuse are recognized (e.g., addiction, tolerance, impairment of cognitive functions, and inhibit nociception, arousal, and respiration), it remains poorly understood what and how changes in brain activity from chronic fentanyl use influences the respective behavioral outcome. Here, we examined the functional and molecular changes to cortical neural network activity following sub-chronic exposure to two fentanyl concentrations, a low (0.01 μM) and high (10 μM) dose. Primary rat co-cultures, containing cortical neurons, astrocytes, and oligodendrocyte precursor cells, were seeded in wells on either a 6-well multi-electrode array (MEA, for electrophysiology) or a 96-well tissue culture plate (for serial endpoint bulk RNA sequencing analysis). Once networks matured (at 28 days <i>in vitro</i>), co-cultures were treated with 0.01 or 10 μM of fentanyl for 4 days and monitored daily. Only high dose exposure to fentanyl resulted in a decline in features of spiking and bursting activity as early as 30 min post-exposure and sustained for 4 days in cultures. Transcriptomic analysis of the complex cultures after 4 days of fentanyl exposure revealed that both the low and high dose induced gene expression changes involved in synaptic transmission, inflammation, and organization of the extracellular matrix. Collectively, the findings of this <i>in vitro</i> study suggest that while neuroadaptive changes to neural network activity at a systems level was detected only at the high dose of fentanyl, transcriptomic changes were also detected at the low dose conditions, suggesting that fentanyl rapidly elicits changes in plasticity.
The Mouseworld, a security traffic analysis lab based on NFV/SDN (2018)

Machine Learning (ML) technologies applied to Cybersecurity, especially in the area of network cyber threat detection, are a promising choice, but they require additional research in the applicability of a wide range of available algorithms. Such algorithms usually require training using good-quality and quantitatively significant datasets, which are rarely publicly available. To this end, in this paper we describe a novel experimental framework, that we call the Mouseworld, that combines NFV and SDN to create an environment able to (1) blend and transmit real and synthetic traffic and (2) collect and label this traffic in order to be utilised for training and validating ML algorithms that will be applied to the detection of cybersecurity threats. The Mouseworld framework includes a set of traffic generation, collection and labelling modules, jointly with analytics and algorithm training and visualization components. The OSM open-source network orchestrator is utilized to control and manage the framework and to deploy the training and validation scenarios. We present a preliminary result on the area of Security threat detection as a demonstration of the framework viability.
WAFFLE: A Graph for WordNet Applied to FreeForm Linguistic Exploration (2020)

The WordNet database of English As the sophistication of these applications increases with the use of large datasets, deep learning, and graph-based methods, so should the use of WordNet. To this end, we introduce WAFFLE: WordNet Applied to FreeForm Linguistic Exploration which makes WordNet available in an open source graph data structure. The WAFFLE graph relies on platformagnostic formats for robust interrogation and flexibility. Where existing implementations of WordNet offer dictionary-like lookup, singledegree neighborhood operations, and pathbased similarity-scoring, the WAFFLE graph makes all nodes (semantic relation sets) and relationships queryable at scale, enabling local and global analysis of all relationships without the need for custom code. We demonstrate WAFFLE's ease of use, visualization capabilities, and scalable efficiency with common queries, operations, and interactions. WAF-FLE is available at github.
Low noise integrating preamplifier with integral ADC (2003)

There are several situations where a low noise charge integrating preamplifier is required. In applications where multiple data channels are used, the preamplifier output is often digitised for subsequent processing in a data acquisition system. A good example of such a system is the analogue readout circuitry for a flat-panel active matrix imaging array. To address this type of application we have designed an integrating preamplifier circuit with integral analogue-to-digital converter. By eliminating noisy elements in the feedback loop we have been able to constrain overall noise level while achieving relatively low current consumption with wide bandwidth. The circuit may be operated in linear or logarithmic mode. Results are presented for an implementation of the circuit designed using the 2.4 /spl mu/m Mietec CMOS process.
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies (2023)

The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities. These can enable proactive decisions and actions from wireless-network components to sustain quality-of-service (QoS) and user experience. Moreover, new use cases in the area of vehicular and industrial communications will emerge. Specifically in the area of vehicle communication, vehicle-to-everything (V2X) schemes will benefit strongly from such advances. With this in mind, we have conducted a detailed measurement campaign that paves the way to a plethora of diverse ML-based studies. The resulting datasets offer GPS-located wireless measurements across diverse urban environments for both cellular (with two different operators) and sidelink radio access technologies, thus enabling a variety of different studies towards V2X. The datasets are labeled and sampled with a high time resolution. Furthermore, we make the data publicly available with all the necessary information to support the on-boarding of new researchers. We provide an initial analysis of the data showing some of the challenges that ML needs to overcome and the features that ML can leverage, as well as some hints at potential research studies.
A Mouse Model of Human Primitive Neuroectodermal Tumors Resulting from Microenvironmentally-Driven Malignant Transformation of Orthotopically Transplanted Radial Glial Cells (2015)

There is growing evidence and a consensus in the field that most pediatric brain tumors originate from stem cells, of which radial glial cells constitute a subtype. Here we show that orthotopic transplantation of human radial glial (RG) cells to the subventricular zone of the 3rd ventricle--but not to other transplantation sites--of the brain in immunocompromised NOD-SCID mice, gives rise to tumors that have the hallmarks of CNS primitive neuroectodermal tumors (PNETs). The resulting mouse model strikingly recapitulates the phenotype of PNETs. Importantly, the observed tumorigenic transformation was accompanied by aspects of an epithelial to mesenchymal transition (EMT)-like process. It is also noteworthy that the tumors are highly invasive, and that they effectively recruit mouse endothelial cells for angiogenesis. These results are significant for several reasons. First, they show that malignant transformation of radial glial cells can occur in the absence of specific mutations or inherited genomic alterations. Second, they demonstrate that the same radial glial cells may either give rise to brain tumors or differentiate normally depending upon the microenvironment of the specific region of the brain to which the cells are transplanted. In addition to providing a prospect for drug screening and development of new therapeutic strategies, the resulting mouse model of PNETs offers an unprecedented opportunity to identify the cancer driving molecular alterations and the microenvironmental factors that are responsible for committing otherwise normal radial glial cells to a malignant phenotype.
4 &#x00D7; 24 Gb/s 2<sup>7</sup> &#x2014; 1 PRBS generator using 1.8 V MOS-HBT quasi-CML logic (2012)

An ultra-low-power, 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">7</sup> - 1 PRBS generator with four, appropriately delayed, parallel output streams was fabricated in a production 130-nm SiGe BiCMOS technology with HBT f <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</sub> /f <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MAX</sub> of 230/280 GHz. The circuit is based on a 1.8 V MOS-HBT quasi-CML family and operates with serial data rates up to 24 Gb/s. It consumes 196 mW from 1.8 V, corresponding to only 49 mW per 24 Gb/s data lane or 2.04 pJ/bit.
Photosensitive Polyimides Based on Chemical Amplification Mechanism (2017)

The main application of polyimides is the insulation or the passivation layers of electronic devices, where the pattern formation with the thick film layer is required. The high thermogravimetry (Tg) and the small free volume of polyimides inhibit the mobility of reacting species induced by photochemical reactions. This chapter discusses some basic factors that determine the sensitivity of polymeric materials and the amplification mechanisms used for photopolymers. It describes some examples of photosensitive polyimides synthesized based on the chemical amplification mechanism. Recently, an acid-catalyzed reaction has been attracting the interest of researchers in the field of microlithography, since it provides photoresists with high sensitivity, as well as high resolution for deep UV exposure. Photoacid generators (PAGs) are an important element in the acidolysis mechanism as they govern the spectral sensitivity and the sensitivity values of photosensitive polymers. Photosensitive polyimides may require sensitivity to near-UV light, since g- and i-line steppers are the most common exposing system in electronic device manufacture.
Self-potential signals generated by the corrosion of buried metallic objects with application to contaminant plumes (2013)

ABSTRACT Large-amplitude (&amp;gt;100 mV) negative electric (self)-potential anomalies are often observed in the vicinity of buried metallic objects and ore bodies or over groundwater plumes associated with organic contaminants. To explain the physical and chemical mechanisms that generate such electrical signals, a controlled laboratory experiment was carried out involving two metallic cylinders buried with vertical and horizontal orientations and centered through and in the capillary fringe within a sandbox. The 2D and 3D self-potential (SP) data were collected at several time steps along with collocated pH and redox potential measurements. Large dipolar SP and redox potential anomalies developed in association with the progressive corrosion of the vertical pipe, although no anomalies were observed in the vicinity of the horizontal pipe. This discrepancy was due to the orientation of the pipes with the vertical pipe subjected to a significantly larger EH gradient. Accounting for the electrical conductivity distribution, the SP data were inverted to recover the source current density vector field using a deterministic least-squares 4D (time-lapse) finite-element modeling approach. These results were then used to retrieve the 3D distribution of the redox potential along the vertical metallic cylinder. The results of the inversion were found to be in excellent agreement with the measured distribution of the redox potential. This experiment indicated that passively recorded electrical signals can be used to nonintrusively monitor corrosion processes. In addition, vertical electrical potential profiles measured through a mature hydrocarbon contaminated site were consistent with the sandbox observations, lending support to the geobattery model over organic contaminant plumes.
Power-over-Fiber-based 90-GHz High-Power-Integrated Photoreceiver for High Data Rate Radio-over-Fiber (2020)

We present a highly efficient and high-power integrated photoreceiver for 90-GHz range radio over fiber (RoF) communications using power over fiber; the photoreceiver has demonstrated high data-rate wireless transmission up to 28.8 Gbps. © 2020 The Author(s)
Decreased Dissolution of ZnO by Iron Doping Yields Nanoparticles with Reduced Toxicity in the Rodent Lung and Zebrafish Embryos (2011)

We have recently shown that the dissolution of ZnO nanoparticles and Zn(2+) shedding leads to a series of sublethal and lethal toxicological responses at the cellular level that can be alleviated by iron doping. Iron doping changes the particle matrix and slows the rate of particle dissolution. To determine whether iron doping of ZnO also leads to lesser toxic effects in vivo, toxicity studies were performed in rodent and zebrafish models. First, we synthesized a fresh batch of ZnO nanoparticles doped with 1-10 wt % of Fe. These particles were extensively characterized to confirm their doping status, reduced rate of dissolution in an exposure medium, and reduced toxicity in a cellular screen. Subsequent studies compared the effects of undoped to doped particles in the rat lung, mouse lung, and the zebrafish embryo. The zebrafish studies looked at embryo hatching and mortality rates as well as the generation of morphological defects, while the endpoints in the rodent lung included an assessment of inflammatory cell infiltrates, LDH release, and cytokine levels in the bronchoalveolar lavage fluid. Iron doping, similar to the effect of the metal chelator, DTPA, interfered in the inhibitory effects of Zn(2+) on zebrafish hatching. In the oropharyngeal aspiration model in the mouse, iron doping was associated with decreased polymorphonuclear cell counts and IL-6 mRNA production. Doped particles also elicited decreased heme oxygenase 1 expression in the murine lung. In the intratracheal instillation studies in the rat, Fe doping was associated with decreased polymorphonuclear cell counts, LDH, and albumin levels. All considered, the above data show that Fe doping is a possible safe design strategy for preventing ZnO toxicity in animals and the environment.
Use Cases, Requirements and Challenges of 5G Communication for Industrial Automation (2018)

The growing digitization of manufacturing processes requires enhanced connectivity between moving objects and machines in a factory environment. Communication for factory automation is characterized by periodicity, determinism and isochronicity, and has very different system and communication requirements compared to traditional mobile broadband for smartphones. In this paper, we analyze several industrial automation use-cases which demand the highest application requirements (ex. closed-loop motion control with <; 1ms cycle time and 99.9999% service availability) and discuss the key design challenges for the upcoming 5G standard. We identify the main challenges for the 5G-NR system to support isochronous and deterministic communications for industrial automation. Finally, we provide estimated numbers of supported nodes/links for a closed-loop motion control use case with different bandwidths, which indicate the potential for 5G for industrial automation.
Erratum: Search for new phenomena in final states with large jet multiplicities and missing transverse momentum at $ \sqrt{s} $ = 8 TeV proton-proton collisions using the ATLAS experiment (2014)

whilst none of the results or exclusion lines have been changed.
ChemInform Abstract: REDUCTION OF AROMATIC CARBONYL COMPOUNDS PROMOTED BY TITANIUM TRICHLORIDE IN BASIC MEDIA. STEREOCHEMISTRY STUDIES (1985)

Abstract Bei der Reduktion der Acetophenone (I) mit Ti(III)‐Verbindungen erhält man im alkalischen Milieu je nach Substituenten über‐ ‐ wiegend die Alkohole (II)′oder die Dimeren (III).
High-Speed Automatic Target Recognition using the Hybrid Opto-electronic Correlator with Multi-channel Detection (2022)

We report on the demonstration of high-speed modality of the hybrid opto-electronic correlator for rotation, scale, and shift-invariant automatic target recognition via use of simultaneous detection of the relevant digital-holographic signals using six focal-plane arrays.
3D silicon shapes through bulk nano structuration by focused ion beam implantation and wet etching (2017)

The work presented in this paper concerns the synthesis of silicon (Si) 2D and 3D nanostructures using the delayed effect, caused by implanted Ga ions, on the dissolution of Si in aqueous solutions of tetramethylammonium hydroxide (TMAH). The crystalline silicon substrates (100) are first cleaned and then hydrogenated by immersion in an aqueous solution of hydrofluoric acid. The ion implantation is then carried out by a focused ion beam by varying the dose and the exposure time. Chemical etching in aqueous solutions of TMAH at 80 °C leads to the selective dissolution of the Si planes not exposed to the ions. The preliminary results obtained in the laboratory made it possible to optimize the experimental conditions for the synthesis of 2D and 3D nanoobjects of controlled shape and size. Analysis by transmission electron microscopy and energy dispersive x-ray showed the amorphous nature of the nanostructures obtained and the presence of 5%-20% Ga in these nanoobjects. The first experiments of recrystallization by rapid thermal annealing allowed to reconstitute the crystal structure of these nanoobjects.
Positron emission tomography and histopathology in Pick's disease (1987)

PET using 18F-2-fluoro-2-deoxyglucose was carried out on a case of Pick's disease established by necropsy. A sharply decreased cortical metabolic rate for glucose was obtained in specific gyri, especially in the frontal lobes, where there was extensive gliosis and neuronal loss. More moderate decreases were found in areas with numerous Pick bodies and inflated neurons but less gliosis. The PET pattern was sufficiently distinctive to suggest that it might be possible to distinguish Pick's from Alzheimer's disease premortem.
Expression of “Dehydrin-Like” Proteins in Embryos and Seedlings of Zizania palustris and Oryza sativa during Dehydration (1992)

Proteins inducible by dehydration and abscisic acid (ABA), termed dehydrins or RAB (Responsive to ABA) proteins, have been identified in a number of species and have been suggested to play a role in desiccation tolerance, particularly during seed development. Seeds (caryopses) of North American wild rice (Zizania palustris var interior [Fassett] Dore) are tolerant of dehydration to <10% moisture content (fresh weight basis) only under restricted dehydration and rehydration conditions. In comparison, seeds of paddy rice (Oryza sativa L.) readily tolerate desiccation to <5% water content. Expression of "dehydrin-like" proteins in Zizania and Oryza seedlings and embryos was examined to investigate the relationship between the presence of such proteins and desiccation tolerance. [(35)S]Methionine labeling of newly synthesized proteins showed that seedlings (first leaf stage) of both Zizania and Oryza synthesized a novel "heat-stable" protein of apparent molecular weight = 20,000 when dehydrated to <75% of their initial fresh weight. ABA (100 micromolar) induced synthesis of a protein with similar electrophoretic mobility in both species. Western blots using antiserum raised against maize (Zea mays L.) dehydrin detected a protein band from dehydrated Zizania shoots and mature embryonic axes that comigrated with the labeled 20-kilodalton polypeptide. Northern blots using a cDNA for an ABA-responsive protein from Oryza (rab 16a) showed that both seedlings and excised embryonic axes of Zizania accumulated RNA similar in sequence to rab 16a in response to water loss. Zizania seedlings and embryonic axes were also capable of ABA accumulation during dehydration. The intolerance of Zizania seeds to dehydration at low temperature is apparently not due to an absence of dehydrin-like proteins or an inability to accumulate ABA.
ChemInform Abstract: Oxidation and Reduction (Organic Reaction Mechanisms) (1994)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.