Miracle-dz/UniFAR-FTUs huggingface dataset:
Patent-Bot

Abstract:Patent-Bot is an artificial intelligence (AI) software program that learns language from the patent database to write original patents for submission to the United States Patent Office (USPTO). The program creates thousands of new patent summaries per second. Patent-Bot is itself a piece of intellectual property, which in turn exists to generate more intellectual property. Patent-Bot also invents new words in relation to its future concepts, which appear to test the current linguistic limits of innovation and communication. Patent-Bot was debuted as an interactive art installation in the Omnibus Filing exhibition at the Visual Arts Center, University of Texas at Austin. Omnibus Filing showcased artworks, inventions, prototypes and cross-disciplinary research projects undertaken by teams of scientists, artists and engineers. Patent-Bot has since exhibited at Piksel 17: A festival for Elektronisk Kunst og fri Teknologi, in Lydgalleriet, Bergen, Norway. The project is an ongoing collaboration between the authors spanning a variety of exhibition formats and modes of display.
On microseisms recorded near the Ligurian coast (Italy) and their relationship with sea wave height

S U M M A R Y In this study, microseism recordings from a near coast seismic station and concurrent significant sea wave heights (H 1 3 ) are analysed to calibrate an empirical relation for predicting sea wave height in the Ligurian Sea. The study stems from the investigation of the damaging sea storms occurred in the Ligurian Sea between 2008 October and November. Analysing data collected in this time frame allows identification of two types of microseism signal, one associated to the local sea wave motion and one attributable to a remote source area. The former is dominated by frequencies greater than 0.2 Hz and the latter by frequencies between 0.07 and 0.14 Hz. Moreover, comparison of microseism spectrogram and significant sea wave heights reveals a strong correlation in that the spectral energy content of microseism results proportional to the sea wave height observed in the same time window. Hence, an extended data set including also observations from January to December 2011 is used to calibrate an empirical predictive relation for sea wave height whose functional form is a modified version of the classical definition of H 1 3 . By means of a Markov chain Monte Carlo algorithm we set up a procedure to investigate the inverse problem and to find a set of parameter values for predicting sea wave heights from microseism.
Experimentally reproduced textures and mineral chemistries of high-titanium mare basalts

Many of the textures, morphologies, and mineral chemistries of the high-titanium mare basalts have been experimentally duplicated using single-stage cooling histories. Lunar high-titanium mare basalts are modeled in a 1 m thick gravitationally differentiating flow based on cooling rates, thermal models, and modal olivine contents. The low-pressure equilibrium phase relations of a synthetic high-titanium basalt composition were investigated as a function of oxygen fugacity, and petrographic criteria are developed for the recognition of phenocrysts which were present in the liquid at the time of eruption.
Valor pronóstico del test de ejercicio

Introducción: no está bien establecido el valor pronóstico de la ergometría para todas las poblaciones. Objetivos: evaluar la capacidad de la ergometría de predecir eventos cardiovasculares en una población sin limitaciones en sus características. Método: de un total de 1.904 pacientes sometidos a una ergometría en una institución durante el año 1997, se interrogó la evolución a siete años mediante cuestionario estructurado de 524 pacientes (28%), que pudieron ser contactados telefónicamente. Se validó la representatividad del grupo contactado por comparación con los no contactados. Se realizó un análisis bivariado y multivariado de las variables que podrían tener valor predictor de eventos. Con las que resultaron predictores multivariados independientes, se calculó la probabilidad de presentar eventos cardiovasculares utilizando la función logística, y se construyó una tabla de riesgos estimados. Resultados: no encontrando diferencias importantes entre pacientes contactados y no contactados, se aceptó la representatividad del grupo contactado. En cuanto a predicción de eventos, en el análisis bivariado se encontraron diferencias significativas en sexo, edad, antecedentes de hipertensión arterial y dislipidemia, aparición de angor o arritmia en la prueba, o ambas, probabilidad de coronariopatía pre y postest, desnivel ST y frecuencia cardíaca máxima alcanzada. En el multivariado, los predictores independientes fueron: probabilidad pretest, frecuencia cardíaca máxima alcanzada y desnivel ST. Con estas variables se calculó, mediante regresión logística, la probabilidad de presentar eventos cardiovasculares. El área bajo la curva ROC fue 0,801. Se construyó una tabla de riesgos estimados en base a las mismas variables. Conclusiones: se identificaron como predictores independientes de eventos cardiovasculares la probabilidad pretest, frecuencia cardíaca máxima alcanzada y desnivel ST, a partir de los cuales se calculó la probabilidad de sufrir eventos cardiovasculares; estos resultados, en especial la tabla de riesgos estimados, deberían ser validados prospectivamente en una cohorte más numerosa de pacientes.
Test Case Generation from Specifications Using Natural Language Processing

Software testing plays a fundamental role in software engineering as it ensures the quality of a software system. However, one of the major challenges of software testing is its costs since it is a time and resource-consuming process which according to academia and industry can take up to 50% of the total development cost. Today, one of the most common ways of generating test cases is throughmanual labor by analyzing specification documents to produce test scripts, which tends to be an expensive and error prone process. Therefore, optimizing software testing by automating the test case generation process can result in time and cost reductions and also lead to better quality of the end product. Currently, most of the state-of-the-art solutions for automatic test case generation require the usage of formal specifications. Such formal specifications are not always available during the testing process and if available, they require expert knowledge for writing and understanding them. One artifact that is often available in the testing domain is test case specifications written in natural language. In this thesis, an approach for generating integration test cases from natural language test case specifications is designed, applied and, evaluated. Machine learning and natural language processing techniques are used to implement the approach. The proposed approach is conducted and evaluated on an industrial testing project at Ericsson AB in Sweden. Additionally, the approach has been implemented as a tool with a graphical user interface for aiding testers in the process of test case generation. The approach involves performing natural language processing techniques for parsing and analyzing the test case specifications to generate feature vectors that are later mapped to label vectors containing existing C# test scripts file names. The feature and label vectors are used as input and output, respectively, in a multi-label text classification process. The approach managed to produce test scripts for all test case specifications and obtained a best F1 score of 89% when using LinearSVC as the classifier and performing data augmentation on the training set. Keywords— Software testing, Test case generation, Natural Language Processing, Test case specifications
Practising what you preach: how cosmopolitanism promotes willingness to redistribute across the European Union

ABSTRACT The political fault lines surrounding the European sovereign debt crisis have underlined the political relevance and the fragile foundation of public support for international redistribution in the European Union. Against the backdrop of an emerging political integration-demarcation divide, this contribution examines how cosmopolitanism structures people’s willingness to redistribute internationally within the European Union. To this aim, we conducted laboratory experiments on redistributive behaviour towards other European citizens in the United Kingdom and Germany and analysed cross-national survey data on support for international redistribution covering the EU-28. Our findings suggest that cosmopolitanism increases generosity towards other Europeans and support for international redistribution even when controlling for self-interest, support for national redistribution, concern for others and political ideology.
Determination of Δ-9-Tetrahydrocannabinol (THC), 11-hydroxy-THC, 11-nor-9-carboxy-THC and Cannabidiol in Human Plasma using Gas Chromatography–Tandem Mass Spectrometry

Two marijuana compounds of particular medical interest are delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD). A gas chromatography–tandem mass spectrometry (GC–MS-MS) method was developed to test for CBD, THC, hydroxy-THC (OH-THC) and carboxy-THC (COOH-THC) in human plasma. Calibrators (THC and OH-THC, 0.1 to 100; CBD, 0.25 to 100; COOH-THC, 0.5– 500 ng/mL) and controls (0.3, 5 and 80 ng/mL, except COOH-THC at 1.5, 25 and 400 ng/mL) were prepared in blank matrix. Deuterated (d3) internal standards were added to 1-mL samples. Preparation involved acetonitrile precipitation, liquid–liquid extraction (hexane:ethyl acetate, 9:1), and MSTFA derivatization. An Agilent 7890 A GC was interfaced with an Agilent 7000MS Triple Quadrupole. Selected reaction monitoring was employed. Blood samples were provided from a marijuana smoking study (two participants) and a CBD ingestion study (eight participants). Three analytes with the same transitions (THC, OH-THC and COOH-THC) were chromatographically separated. Matrix selectivity studies showed endogenous chromatographic peak area ratios (PAR) at the analyte retention times were <20% of the analyte limit of quantitation PAR. The intra-assay accuracy ranged from 83.5% to 118% of target and the intra-run imprecision ranged from 2.0% to 19.1%. The inter-assay accuracy ranged from 90.3% to 104% of target and the inter-run imprecision ranged from 6.5% to 12.0%. Stability was established for 25 hours at room temperature, 207 days at −20°C, after three freeze-thaw cycles and for 26 days for rederivatized processed samples. After smoking marijuana predictable concentrations of THC, OH-THC and COOH-THC were seen; low concentrations of CBD were detected at early time points. In moderate users who had not smoked for at least 9 hours before ingesting an 800mg oral dose of CBD, the method was sensitive enough to follow residual concentrations of THC and OH-THC; sustained COOH-THC concentrations over 50 ng/mL validated its higher analytical range. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 277
Synchronization of (Dis)fluent Speech and Gesture: A Multimodal Approach to (Dis)fluency

Disfluency is verbally expressed by several markers (filled, unfilled pauses, repetitions, self-repairs, etc). This study is grounded in the functionally ambivalent view of (Dis)fluency following Crible, (2017) and Götz (2013), but with a multimodal and interactional approach. Previous research has shown a coordination between speech and gesture suspension (Gullberg, 2013, 2018; Seyfedinnipur 2006). The aim of our paper is thus to examine how (dis)fluent speech and gestures can be synchronized, and how visual-gestural features can provide a finer understanding of (dis)fluency. Our analyses are conducted on 3 pairs of French and American speakers interacting both in their L1 and their L2. (Dis)fluency markers were annotated according to their multimodal features. Qualitative analyses revealed how the notions of time suspension and planning associated with (dis)fluency were also found in gesture. This strongly supports the idea that (dis)fluency is to be considered a multimodal phenomenon, and its visual cues are essential for a closer examination of its pragmatic functions.
TLR7/8 Signalling Affects X-Sperm Motility via the GSK3 α/β-Hexokinase Pathway for the E�cient Production of Sexed Dairy Goat Embryos

Goat milk is most similar to human milk because of its abundant nutrients and ease of digestion. To derive more economic bene�ts, farmers need to obtain offspring with more does; however, the buck to doe sex ratio of offspring is approximately 50%. At present, arti�cial insemination after separation of X/Y sperm using �ow cytometry is the primary means to control the sex of livestock offspring. However, �ow cytometry has not been successful in separating X/Y sperm for sexing control in dairy goats. In this study, a novel, simple goat sperm-sexing technology that activates the toll-like receptor 7/8 (TLR7/8), inhibiting X-sperm motility, was investigated. Results showed that TLR7/8 coding goat X-chromosome was expressed in approximately 50% of round spermatids in testis' cross-sections and sperm in the epididymis' cross-sections and ejaculate. Importantly, TLR7/8 was located at the tail of X-sperm. Upon TLR7/8 activation, phosphorylated forms of glycogen synthase kinase α/β (GSK3 α/β) and nuclear factor kappa-B (NFκB) were detected in the X-sperm, reducing mitochondrial activity, ATP levels, and sperm motility. High-motility Y-sperm segregated to the upper layer and low-motility X-sperm to the lower layer. Following in vitro fertilisation using the lower layer TLR7/8-activated sperm, 80.52 ± 6.75% of the embryos were XX females. TLR7/8-activated sperm was used for in vivo embryo production via the superovulatory response, and 88.89% of the embryos were XX females. Our study a novel TLR7/8 signalling mechanism that affects X-sperm motility via the GSK3 α/β-hexokinase pathway, facilitating the e�cient production of sexed dairy goat embryos. X-sperm: X Y-sperm: Y sperm; propidium iodide; IVF: CASA: analysis; PNA-FITC: PCR: Reaction;
An Overview of the 1999 Chi-Chi, Taiwan, Earthquake

The Chi-Chi earthquake was the largest onland earthquake to occur in Taiwan in the twentieth century. It inflicted severe damage in central western Taiwan: the excited strong shaking projected impact at cities as far as 150 km away and destroyed several high-rise buildings in the Taipei basin. Having a very complex source, the Chi-Chi earthquake ruptured the 100-km-long Chelungpu fault in a series of jumping dislocations that did not follow a process commonly assumed for an orderly propagating rupture. Furthermore, the rupture developed over a surface that was by no means planar. Principally a N-S-trending thrust of shallow (30°) dip to the east, the northern end of the ruptured Chelungpu fault turned into a more easterly trending rupture surface with an oblique-slip motion. The recently completed Taiwan Strong-Motion Instrumentation Program (TSMIP) with more than 600 modern digital instruments scored the historically largest and most significant strong-motion data recovery. In the meantime, the upgraded Taiwan Central Weather Bureau Seismic Network (CWBSN), all with digital telemetered stations each having six components in both high- and low-gain operations, electronically issued earthquake information (hypocenter, magnitude, and isoseismal map) within minutes of the mainshock to all pertinent emergency management agencies. This rapid reporting significantly improved timely emergency response and effective dispatching of rescue missions. Based on these local data, as well as on GPS, leveling, and geological ground truth observations of the surface rupture, preliminary results show that the rupture started at the southern part of the Chelungpu fault. Dislocations (or the rupture of asperities) jumped around behind the S -wave front in a rather random spatial distribution by which no rupture propagating velocity can be properly defined. Large ground acceleration, some over 1 g , occurred in the southern part of the Chelungpu fault where the rupture initiated. Toward the northern section of the Chelungpu fault, a decrease in ground acceleration was accompanied with an increase in ground velocity (to as much as 300 cm/sec) and ground displacement (to as much as 8 m). Most of the large motions were confined to the hanging wall (i.e., the eastern block of the thrust), and relatively small ground motions occurred in the footwall. Thus the hanging wall contributed the most to the rupture process. During the later part of the rupture, the N-S-trending Chelungpu fault made an easterly bend and the thrust motion turned into a more oblique-slip motion at the northern end. Meanwhile, the strong dynamic rupturing process triggered two M 6 events, each one having occurred in the vicinity of a known fault: one off the southern end and the other off the northern end of the Chelungpu fault. Manuscript received 12 December 2000.
RADIOCARBON DATES FROM THE OXFORD AMS SYSTEM: ARCHAEOMETRY DATELIST 24

This twenty-fourth list of accelerator dates consists mainly of material dated since the beginning of 1994, but includes a number of measurements made earlier in the dating programme. I t also includes, for the first time, a list of samples measured incollaboration with the Centre de Datation par le Radiocarbone de Lyon: Lyon samples both pretreated and measured at Oxford have been assigned Oxford laboratory numbers in the usual way, in addition to Lyon numbers, whereas those pretreated at Lyon and measured at Oxford have only a Lyon laboratory number and the suffix '(OxA)'. All dates have been achieved by the methods described in Law and Hedges (1989), Hedges rt ul. (1989 and 1992). Determinations with OxA numbers greater than 2095 were measured on the CO, gas ion-source (Bronk and Hedges 1989) rather than on the previous iron-graphite system. In accordance with international radiocarbon convention all dates are expressed in radiocarbon years before AD 1950 (years BP) using the half-life of 5568 years. Errors are quoted as one standard deviation and are based on an assessment of all the contributions to the error in the laboratory isotope ratio measurement. Natural fractionation of carbon isotopes is accounted for by measuring the 6 ' T values relative to PDB (with errors of approximately 0.3! %0). All combining procedures and significance tests are based on Ward and Wilson (1978). Comments composed by the Laboratory on the basis of information supplied by submitters are given without attribution. Previous Archueometry datelists are referred to in the form: Arch. List 23.
Recent trends from Canadian permafrost thermal monitoring network sites

The Geological Survey of Canada (GSC), in collaboration with other government partners, has been developing and maintaining a network of active‐layer and permafrost thermal monitoring sites which contribute to the Canadian Permafrost Monitoring Network and the Global Terrestrial Network for Permafrost. Recent results from the thermal monitoring sites maintained by the GSC and other federal government agencies are presented. These results indicate that the response of permafrost temperature to recent climate change and variability varies across the Canadian permafrost region. Warming of shallow permafrost temperatures of between 0.3 and 0.6°C per decade has occurred since the mid‐ to late 1980s in the central and northern Mackenzie region in response to a general increase in air temperature. No significant warming (less than 0.1°C per decade) of permafrost is observed in the southern Mackenzie valley. Warming of shallow permafrost of between 1.0 and 4.0°C per decade is also observed in the eastern and high Arctic, but this mainly occurred in the late 1990s. These trends in permafrost temperature are consistent with trends in air temperature observed since the 1970s. Local conditions however, influence the response of the permafrost thermal regime to these changes in air temperature. Copyright © 2005 John Wiley & Sons, Ltd.
Observe Notifications as CoAP Multicast Responses

The Constrained Application Protocol (CoAP) allows clients to "observe" resources at a server, and receive notifications as unicast responses upon changes of the resource state. In some use cases, such as based on publish-subscribe, it would be convenient for the server to send a single notification to all the clients observing a same target resource. This document defines how a CoAP server sends observe notifications as response messages over multicast, by synchronizing all the observers of a same resource on a same shared Token value. Besides, this document defines how Group OSCORE can be used to protect multicast notifications end-to-end from the CoAP server to the multiple observer clients.
UPI Journal of Pharmaceutical Medical, and Health Sciences

High Performance Thin layer Chromatography (HPTLC) technique is a sophisticated and automated form of the thin-layer chromatography (TLC) with better and advanced separation efficiency and detection limits. The analytical method should be sensitive, specific, fast and accurate to establish the assurance that the equipments used in manufacturing are free of the unwanted impurity, presence of which may alter the safety and efficacy of the drug product. The developed method was based on RP-HPLC leave-taking and quantification of the drug on C-18 column using a mobile phase at flow rate of 1 ml/ min. Quantitation was attained with PDA detector at 200-400 nm based on peak area with linear calibration curves at concentration ranges 5-25 μg/ml for the drug. The method as per ICH guidelines was validated for specificity, linearity
RRc-UNet 3D for lung tumor segmentation from CT scans of Non-Small Cell Lung Cancer patients

Lung cancer is a grave disease that accounts for more than one million deaths, and Non-Small Cell Lung Cancer (NSCLC) accounts for 85% of all lung cancers. Rapid detection of lung cancer could reduce the mortality rate and increase the patient’s survival rate, in which tumor segmentation plays a significant role in the diagnosis and treatment of lung cancer. Nevertheless, manual segmentation by radiologists can be time-consuming and labor-intensive. In recent years, deep learning methods have achieved good results in medical image segmentation. In this paper, RRcUNet 3D, a variant of the Unet model, was proposed to perform tumor segmentation in Computed Tomography (CT) images of NSCLC patients. This network was trained end-to-end from a small set of CT scans of NSCLC patients, then the trained model was validated on another set of CT scans of NSCLC patients. The experimental results showed that our model can provide a highly accurate segmentation of tumors in the 3D volume of CT images.
Integrated Real-time Data-driven Model Framework for Optimization of Slurry Control Parameters in SPB-TBM Tunnelling

Maintaining the stability of excavation face is one of the most concerned problems in Slurry pressure balanced tunnel boring machine (SPB-TBM) construction. To overcome the uncertainty and errors caused by manual adjustment, this paper proposes a novel data-driven model framework to achieve the balance between slurry and soil pressure, which consists of two significant components: (1) an ensemble-learning-based model for predicting slurry pressure; (2) an optimization model based on greedy search strategy for slurry control parameter. The proposed framework was implemented and verified in Pearl River Delta Water Resources Allocation Project and the results demonstrated that the presented framework can make highly-accurate predictions for the slurry pressure and effectively adjust the control parameter values to achieve the balance between slurry and soil pressure.