SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Grain-size Characteristics of Sand Materials in Tamarix Cone Sedimentary Veins and Wind Sandy Environment Change in the Southern Region of Taklimakan Desert

The clear sedimentary veins of Tamarix Cone,can not only date the age,but also has important instruction significance to restore regional historical climate environment.This paper selects three sample points′grain size parameters,sand material anomaly values and Sahu discriminant function which are in Tamarix Cone sand materials in the south margin of Taklimakan Desert.We combined with the software of calculation and analysis such as SPSS 17.0,Sigma Plot and Excel 2007,aimed to restore the region hundreds years of wind sandy environment changes.The analysis results of sand material grain size characteristics we got are as followings.The sand transport power of sample point B is the strongest,and the sedimentary materials are dominated by saltating and slow-moving,which means that the sedimentary environment of the sample point B is more stable.On the other hand,sample point C of deposition is given priority to with suspended matter.Through the sample points location relations and determination,the Tamarix Cone of this region mainly consists of eolian sand.The sand material granularity sequences show that the region climate gradually from drought to wet in two hundred of years.The change phase of wind sandy environment includes that the weaker wind-sandy action was from 1801to 1872;the significantly stronger action was from 1872to 1902;the normal strength was from 1903to 1984;the significant decline of wind-sandy action was from 1985to 2010.
Myrrha research and transmutation endeavour

The Strategic Research Agenda of the EU Sustainable Nuclear Energy Technical platform requires new large infrastructures for its successful deployment. MYRRHA has been identified as a long term supporting research facility for all ESNII systems and as such put in the high-priority list of ESFRI. The goal of MYRTE is to perform the necessary research in order to demonstrate the feasibility of transmutation of high-level waste at industrial scale through the development of the MYRRHA research facility. Within MYRRHA as a large research facility, the demonstration of the technological performance of transmutation will be combined with the use for the production of radio-isotopes and as a material testing for nuclear fission and fusion applications. Numerical studies and experimental facilities are foreseen to reach this goal.
Besides coordination, international collaboration and dissemination activities, the MYRTE proposal contains 5 technical work packages. The first and largest work-package is devoted to the realisation of the injector part of the MYRRHA accelerator to demonstrate the feasibility and required reliability of this non-semi-conducting part of the accelerator. The second work-package addresses the main outstanding technical issues in thermal hydraulics by numerical simulations and experimental validation. Pool thermal hydraulics and thermal hydraulics of the fuel assembly will be the focus of this WP. In the WP on LBE Chemistry, the evaporation from LBE, capture and deposition of Po and fission products will be studied in detail to complement the safety report. A small dedicated WP on experimental reactor physics is also foreseen to allow carrying out the necessary supplementary experiments at the GUINEVERE-facility to address the questions of the safety authorities. In a last WP, advanced studies on Americium-bearing oxide fuel are carried out to demonstrate the capability of developing minor actinide fuel for transmutation.
Evaluation of HSDPA and LTE

This book explains how the performance of modern cellular wireless networks can be evaluated by measurements and simulations With the roll-out of LTE, high data throughput is promised to be available to cellular users. In case you have ever wondered how high this throughput really is, this book is the right read for you: At first, it presents results from experimental research and simulations of the physical layer of HSDPA, WiMAX, and LTE. Next, it explains in detail how measurements on such systems need to be performed in order to achieve reproducible and repeatable results. The book further addresses how wireless links can be evaluated by means of standard-compliant link-level simulation. The major challenge in this context is their complexity when investigating complete wireless cellular networks. Consequently, it is shown how system-level simulators with a higher abstraction level can be designed such that their results still match link-level simulations. Exemplarily, the book finally presents optimizations of wireless systems over several cells. This book: * Explains how the performance of modern cellular wireless networks can be evaluated by measurements and simulations * Discusses the concept of testbeds, highlighting the challenges and expectations when building them * Explains measurement techniques, including the evaluation of the measurement quality by statistical inference techniques * Presents throughput results for HSDPA, WiMAX, and LTE * Demonstrates simulators at both, link- level and system-level * Provides system-level and link-level simulators (for WiMAX and LTE) on an accompanying website (https://www.nt.tuwien.ac.at/downloads/featured-downloads) This book is an insightful guide for researchers and engineers working in the field of mobile radio communication as well as network planning. Advanced students studying related courses will also find the book interesting.
Statistical analysis of community response to low amplitude sonic boom noise

The Waveform and Sonicboom Perception and Response (WSPR) Program conducted a field study of subjective response to noise from multiple low-amplitude sonic booms. The team was led by Wyle and included researchers from Penn State, Tetra Tech and Gulfstream Aerospace Corp. The test exposed residents in the Edwards Air Force Base (EAFB) Housing area to two weeks of low-amplitude sonic booms while recording their responses via surveys. There were 52 participants divided across three response modes. The response instruments included Baseline Surveys, Single Event Surveys submitted each time a participant heard a boom, and Daily Surveys submitted at the end of each day. The analysis included assessments of single events and cumulative daily ratings of annoyance and categorical variables including loudness, interference, startle, vibration, and rattle. The WSPR daily annoyance data was analyzed by computing percent highly annoyed (%HA) and relating it to the cumulative noise exposure and by relating the subjective annoyance rating directly to the daily noise exposure. The WSPR design was established to cover the full range of noise exposures and annoyance factors so that sufficient data would be gathered to facilitate analyses of %HA and noise metrics. The statistical analyses examining these relationships will be presented.
Turn cancer immunotherapy effective in most patients

Stimunity is a company that develops disruptive immuno-stimulatory biological drugs to restore the immune system against tumor cells.
Immune checkpoint inhibitors showed great potential in cancer immunotherapy after achieving 5-year survival rates for patients with advanced or metastatic cancers, unseen by physicians before. This is a promising beginning. Nevertheless, 5 million patients worldwide remain unresponsive to immunotherapy and do not have any other therapeutic option. On average it represents 50% of all cancers.
A promising answer to this problem is the development of new drugs that activate the STING (STimulator of INterferon Genes) pathway, which fires up the innate immune system of these unresponsive patients, inducing a potent and durable anti-tumour immune response. It is expected to be effective on a much larger number of cancer patients.
Stimunity’s first product, named STI-001, restores weakened immune systems to kill tumour cells. It is especially effective on distant tumours. Competitors using chemical STING ligands have shown a much weaker immune response than STI-001. STI-001 is based on a safe cutting-edge Virus-Like Particle (VLP) technology that encapsulates the best-known natural STING ligand and efficiently deliver it into immune cells.
There is high interest in STI-001, as demonstrated by public and private funding (raised €2.2M to date) and advanced discussions with major pharmaceutical companies (see Letters of Intent).
SMEi1 project will allow Stimunity to i) confirm the technical feasibility of manufacturing STI-001, (ii) update the FTO, (iii) assess regulatory issues, (iv) validate the marketing and business plan.
Our long-term goal is to develop a pipeline of products based on proprietary VLPs in cancer immunotherapy and create a long term out-licensing strategy as a worldwide leader in VLP-based immunotherapy.
A fast partial Fourier transform (FPFT) for data compression and filtering

A discrete Fourier transform (DFT) or the closely related discrete cosine transform (DCT) is often employed as part of a
data compression scheme. This paper presents a fast partial Fourier transform (FPFT) algorithm that is useful for
calculating a subset of M Fourier transform coefficients for a data set comprised of N points (M < N). This algorithm
reduces to the standard DFT when M = 1 and it reduces to the radix-2, decimation-in-time FFT when M = N and N is a
power of 2. The DFT requires on the order of MN complex floating point multiplications to calculate M coefficients for
N data points, a complete FFT requires on the order of (N/2)log 2 N multiplications independent of M, and the new FPFT
algorithm requires on the order of (N/2)log 2 M + N multiplications. The FPFT algorithm introduced in this paper could
be readily adapted to parallel processing. In addition to data compression, the FPFT algorithm described in this paper
might be useful for very narrow band filter operations that pass only a small number of non-zero frequency coefficients
such that M << N.
Direct detection of dark matter—APPEC committee report*

This report provides an extensive review of the experimental programme of direct detection searches of particle dark matter. It focuses mostly on European efforts, both current and planned, but does it within a broader context of a worldwide activity in the field. It aims at identifying the virtues, opportunities and challenges associated with the different experimental approaches and search techniques. It presents scientific and technological synergies, both existing and emerging, with some other areas of particle physics, notably collider and neutrino programmes, and beyond. It addresses the issue of infrastructure in light of the growing needs and challenges of the different experimental searches. Finally, the report makes a number of recommendations from the perspective of a long-term future of the field. They are introduced, along with some justification, in the opening overview and recommendations section and are next summarised at the end of the report. Overall, we recommend that the direct search for dark matter particle interactions with a detector target should be given top priority in astroparticle physics, and in all particle physics, and beyond, as a positive measurement will provide the most unambiguous confirmation of the particle nature of dark matter in the Universe.
Linear Network Coding, Linear Index Coding and Representable Discrete Polymatroids

Discrete polymatroids are the multi-set analogue of matroids. In this paper, we explore the connections among linear network coding, linear index coding, and representable discrete polymatroids. We consider the vector linear solutions of networks over a field $\mathbb {F}_{q}$ , with possibly different message and edge vector dimensions, which are referred to as linear fractional solutions. It is well known that a scalar linear solution over $\mathbb {F}_{q}$ exists for a network if and only if the network is matroidal with respect to a matroid representable over $\mathbb {F}_{q}$ . We define a discrete polymatroidal network and show that a linear fractional solution over a field $\mathbb {F}_{q}$ exists for a network if and only if the network is discrete polymatroidal with respect to a discrete polymatroid representable over $\mathbb {F}_{q}$ . An algorithm to construct the networks starting from certain class of discrete polymatroids is provided. Every representation over $\mathbb {F}_{q}$ for the discrete polymatroid, results in a linear fractional solution over $\mathbb {F}_{q}$ for the constructed network. Next, we consider the index coding problem, which involves a sender, which generates a set of messages $X=\{x_{1},x_{2},\dotso x_{k}\}$ , and a set of receivers $\mathcal {R}$ , which demand messages. A receiver $R \in \mathcal {R}$ is specified by the tuple $(x,H)$ , where $x \in X$ is the message demanded by $R$ and $H \subseteq X \!\setminus \! \{x\}$ is the side information possessed by $R$ . We first show that a linear solution to an index coding problem exists if and only if there exists a representable discrete polymatroid, satisfying certain conditions, which are determined by the index coding problem considered. Rouayheb et al. showed that the problem of finding a multi-linear representation for a matroid can be reduced to finding a perfect linear index coding solution for an index coding problem obtained from that matroid. The multi-linear representation of a matroid can be viewed as a special case of representation of an appropriate discrete polymatroid. We generalize the result of Rouayheb et al. , by showing that the problem of finding a representation for a discrete polymatroid can be reduced to finding a perfect linear index coding solution for an index coding problem obtained from that discrete polymatroid.
The contribution of gravity method in geothermal exploration of southern part of the Gulf of Suez–Sinai region, Egypt

Abstract The Gulf of Suez region represents the most promising area in Egypt for geothermal exploration which is characterized by superficial thermal manifestations represented by a cluster of hot springs with varying temperatures from 35 to 72 °C. The main purpose of the present study was to shed the light on the integration between gravity work and geothermal data in detecting the main subsurface structures in addition to expecting the geothermal sources in the area under consideration. Correction was applied on the bottom hole temperature data to obtain the true formation equilibrium temperatures that can provide useful information about the subsurface thermal regime. Based on these logging data, temperature gradient and heat flow values were computed at each well, and it is found that the mean geothermal gradient of the study area is 32 °C/km; nevertheless, some local geothermal potential fields were located with more than 40 °C/km. Also, heat flow values are ranging from 45 to 115 mW/m 2 . The Bouguer anomaly map of the study area was used for delineating the subsurface structures and tectonic trends that have resulted in a potential heat source. The gravity inversion revealed a good correlation between areas of high temperature gradients, high heat flow and positive gravity anomalies. The high temperature gradient and heat flow values suggested being associated with a noticeable hydrothermal source of heat anomaly located at relatively shallow depths which is expected to be due to the uplift of the basement in the area.
Quantiative study of major historic epidemics and transitions to longer, healthier lives

Only 150 years ago, one in five Europeans died in infancy, life expectancy was 40 years, and the leading causes of death were infectious diseases: tuberculosis, smallpox, measles, pertussis, diphtheria, cholera, typhoid fever, scarlet fever. But in just a few decades beginning about 1880, life expectancy rose dramatically as infectious disease mortality plummeted. This “2nd epidemiologic transition”, in which chronic diseases began replacing infections as leading causes of death, occurred well in advance of antibiotics and most vaccines. Many factors have been proposed to explain it, including improved nutrition, sanitation, clean drinking water, better housing and the emergence of social support systems.

Little has been done, however, to systematically rescue and quantitatively study historic health data and rigorously investigate the epidemiologic transition. I lay out here an ambitious, novel, interdisciplinary and feasible proposal to do just that. In the process, I will broaden my research scope from statistical modeling of historic pandemic influenza to all historic infections, understand the historical context in which the transition occurred, and master new concepts in dynamic disease modeling.  Danish historic medical data are uniquely detailed and reach far back in time, and are uniquely suited for quantitative studies of long time series of morbidity and mortality, with the promise to further illuminate the epidemiology of important diseases including smallpox, cholera, and measles. 

After 25 years abroad as a senior researcher at the National Institutes of Health and Professor of Global Health in the U.S., I now wish to return to my native Denmark.  I had the honor this year to be elected to the Royal Danish Academy of Sciences and Letters, and receive funding to be a visiting professor at the University of Copenhagen, and trust this signals the beginning of my successful re-integration to European academia.
Characteristics and Significance of Residential Density and Energy Consumption in Surabaya, Indonesia

Residential activities have significant impact on energy use. Those activities vary among residential densities. Surabaya classified its city density into three category, those are low, medium and high. This paper aims to explore the characteristics and significance of residential density and energy consumption in Surabaya City, Indonesia. The selected study areas were chosen from the classification of population density based on Surabaya Spatial Plan. The first step of this research is to calculate the energy consumption in each residential density. The next step is to analyze the significant correlation of residential density attributes and energy consumption. The result showed significance difference in five residential characteristics, in terms of number of vehicle ownership, housing ventilation, electricity use, cooking fuel use and use of electronic devices.
Segmentation of malignant gliomas through remote collaboration and statistical fusion

Malignant gliomas represent an aggressive class of central nervous system neoplasms. Correlation of interventional outcomes with tumor morphometry data necessitates 3D segmentation of tumors (typically based on magnetic resonance imaging). Expert delineation is the long-held gold standard for tumor segmentation, but is exceptionally resource intensive and subject to intrarater and inter-rater variability. Automated tumor segmentation algorithms have been demonstrated for a variety of imaging modalities and tumor phenotypes, but translation of these methods across clinical study designs is problematic given variation in image acquisition, tumor characteristics, segmentation objectives, and validation criteria. Herein, the authors demonstrate an alternative approach for high-throughput tumor segmentation using Internet-based, collaborative labeling.In a study of 85 human raters and 98 tumor patients, raters were recruited from a general university campus population (i.e., no specific medical knowledge), given minimal training, and provided web-based tools to label MRI images based on 2D cross sections. The labeling goal was characterized as to extract the enhanced tumor cores on T1-weighted MRI and the bright abnormality on T2-weighted MRI. An experienced rater manually constructed the ground truth volumes of a randomly sampled subcohort of 48 tumor subjects (for both T1w and T2w). Raters' taskwise individual observations, as well as the volume wise truth estimates via statistical fusion method, were evaluated over the subjects having the ground truth.Individual raters were able to reliably characterize (with >0.8 dice similarity coefficient, DSC) the gadolinium-enhancing cores and extent of the edematous areas only slightly more than half of the time. Yet, human raters were efficient in terms of providing these highly variable segmentations (less than 20 s per slice). When statistical fusion was used to combine the results of seven raters per slice for all slices in the datasets, the 3D agreement of the fused results with expertly delineated segmentations was on par with the inter-rater reliability observed between experienced raters using traditional 3D tools (approximately 0.85 DSC). The cumulative time spent per tumor patient with the collaborative approach was equivalent to that with an experienced rater, but the collaborative approach could be achieved with less training time, fewer resources, and efficient parallelization.Hence, collaborative labeling is a promising technique with potentially wide applicability to cost-effective manual labeling of medical images.
LOW PRESSURE RATIO PISTON COMPRESSOR

A reciprocating compressor capable of producing a steady-state, continuous, non-pulsing outflow at volumes less than 25 gallons per hour. The compressor utilizes at least two pistons driven in a near axial manner with any lateral forces imparted to the compressor subsequently removed. The compressor is useful in a vapor compression distillate system but could also be adapted to pump liquids. A rotating cam is provided which through cam followers drives the pistons such that the compression stroke of one compensates for the vibrational force introduced into the apparatus by another piston caused by change in that piston's direction.
Bailando con gigantes

Reseña del libro de Sonia Le Gouriellec, Djibouti: la diplomátie de géant d´un petit État, Villeneuve d´Asq, Presses universitaires du Septentrion, 2020&#x0D;
The impact of class absenteeism on undergraduates’ academic performance: evidence from an elite Economics school in Portugal

The empirical literature focusing mainly on the USA suggests that class absenteeism undermines students’ academic performance and that an enforced mandatory attendance policy may be beneficial. Based on a different cultural and economic context, and using data on 146 second-year management students enrolled in a macroeconomics course at an elite economics school in Portugal, it is shown that even when controlling for potential endogenous factors associated with attendance and academic performance, absenteeism considerably lowers the students’ final grade (about 2 points in a 0–20-point grading scheme). In addition, it is established that a compulsory, though flexible, attendance policy contributes to improving students’ academic performance.
RECYCLABLE COATED FABRIC, BASED ON POLYOLEFIN MATERIALS, FOR USE AS DIGITAL PRINTING MEDIA

The present invention relates to a recyclable-coated fabric for using in digital printing applications. It is characterized for being processed with direct coating of a textile support with one or more layers of aqueous dispersions based on polyolefins, where different additives could be added by agitation; A finishing treatment consisting in primers and lacquers are then applied on top of the coated layers in order to improve its surface properties.