SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Intrinsic jump character of first-order quantum phase transitions

We find that the first-order quantum phase transitions~(QPTs) are characterized by intrinsic jumps of relevant operators while the continuous ones are not. Based on such an observation, we propose a bond reversal method where a quantity $\mathcal{D}$, the difference of bond strength~(DBS), is introduced to judge whether a QPT is of first order or not. This method is firstly applied to an exactly solvable spin-$1/2$ \textit{XXZ} Heisenberg chain and a quantum Ising chain with longitudinal field where distinct jumps of $\mathcal{D}$ appear at the first-order transition points for both cases. We then use it to study the topological QPT of a cross-coupled~($J_{\times}$) spin ladder where the Haldane--rung-singlet transition switches from being continuous to exhibiting a first-order character at $J_{\times, I} \simeq$ 0.30(2). Finally, we study a recently proposed one-dimensional analogy of deconfined quantum critical point connecting two ordered phases in a spin-$1/2$ chain. We rule out the possibility of weakly first-order QPT because the DBS is smooth when crossing the transition point. Moreover, we affirm that such transition belongs to the Gaussian universality class with the central charge $c$ = 1.
Multimodal Conversation Scene Analysis for Understanding People’s Communicative Behaviors in Face-to-Face Meetings

AbstractThis presentation overviews our recent progress in multimodal conversation scene analysis, and discusses its future in terms of designing better human-to-human communication systems. Conversation scene analysis aims to provide the automatic description of conversation scenes from the multimodal nonverbal behaviors of participants as captured by cameras and microphones. So far, the author’s group has proposed a research framework based on the probabilistic modeling of conversation phenomena for solving several basic problems including speaker diarization, i.e. “who is speaking when”, addressee identification, i.e. “who is talking to whom”, interaction structure, i.e. “who is responding to whom”, the estimation of visual focus of attention (VFOA), i.e. “who is looking at whom”, and the inference of interpersonal emotion such as “who has empathy/antipathy with whom”, from observed multimodal behaviors including utterances, head pose, head gestures, eye-gaze, and facial expressions. This paper overviews our approach and discusses how conversation scene analysis can be extended to enhance the design process of computer-mediated communication systems.KeywordsConversation scene analysismeeting analysismultimodal interactionnonverbal behavior
Deciphering and targeting the invasive nature of diffuse intrinsic pontine glioma

Introduction: The ability of a cancer cell to invade into the surrounding tissue is the main feature of malignant cancer progression. Diffuse Intrinsic Pontine Glioma (DIPG) is a paediatric high-grade brain tumour with no chance of survival due to its highly invasive nature.
Goal: By combining state-of-the-art imaging and transcriptomics, we aim to identify and target the key mechanisms driving the highly invasive growth of DIPG.
Technology advances: Two unique single cell resolution imaging techniques that we have recently developed will be implemented: Large-scale Single-cell Resolution 3D imaging (LSR-3D) that allows visualization of complete tumour specimens and intravital microscopy using a cranial imaging window that allows imaging of tumour cell behaviour in living mice. In addition, we will apply a technique of live imaging Patch-seq to perform behaviour studies together with single cell RNA profiling. 
Expected results: Using a glioma murine model in which the disease is induced in neonates and a new embryonic model based on in utero electroporation, we expect to gain knowledge on the progression of DIPG in maturing brain. LSR-3D imaging on human and murine specimens will provide insight into the cellular tumour composition and its integration in the neuroglial network. With intravital imaging, we will characterize invasive cancer cell behaviour and functional connections with healthy brain cells. In combination with Patch-seq, we will identify transcriptional program(s) specific to invasive behaviour. Altogether, we expect to identify novel key players in cancer invasion and assess their potential to prevent DIPG progression. 
Future perspective: With the studies proposed, we will gain fundamental insights into the cancer cell invasion mechanisms that govern DIPG which may provide new potential therapeutic target(s) for this dismal disease. Overall, the knowledge and advanced technologies obtained here will be of great value for the tumour biology field.
Esther Duflo: 2010 John Bates Clark Medalist

Esther Duflo, winner of the 2010 John Bates Clark Medal, has made extraordinary contributions to development economics. She exemplifies and has played a vital role in the renaissance of development economics over the past decade. She has erected and inspired a research apparatus all over the developing world that integrates large-scale field experiments with economic theory to yield important insights for development policy and our understanding of behavior and institutions in developing countries. I'll divide my discussion of Esther's work into four categories: educational production, the economic lives of the poor, women as decisionmakers, and a broad category of market and policy failures. I will then offer some thoughts on Esther's role as a scholar–activist.
Fully automated segmentation of the left ventricle applied to cine MR images: Description and results on a database of 45 Subjects

A fully automated segmentation method of the left ventricle from short-axis cardiac MR images is proposed and evaluated. The segmentation is based on morphological filtering and gradient vector flow snake for which an automatic setting of parameters has already been proposed. The present work focuses on the automatic detection of a region of interest (ROI) surrounding the left ventricle, prior to the segmentation step. The whole process was applied to the MICCAI 2009 Left Ventricle Challenge database containing 45 subjects (9 healthy subjects and 36 with pathology). The automatic detection of the ROI was judged accurate in 86% of the cases. It failed in 2% of the slices and provided an overestimation in 9% of the slices. Furthermore, the endocardial segmentation was accurate in 80% of the slices and the epicardial was judged satisfactory in 71% of the slices. This fully automated procedure can thus be used as a first step in a user controlled approach, in order to reduce the total number of interactions.
Cyberseas: cyber securing energy data services

CyberSEAS (Cyber Securing Energy dAta Services) ambition is to improve the resilience of energy supply chains, protecting them from disruptions that exploit the enhanced interactions and extended involvement models of stakeholders and consumers in complex attack scenarios, characterised by the presence of legacy systems and the increasing connectivity of data feeds. It has 3 strategic objectives: 1) countering the cyber risks related to highest impact attacks against EPES; 2) protecting consumers against personal data breaches and attacks; and 3) increasing the security of the Energy Common Data Space. All three objectives are equally important, since cyber-criminals are shifting tactics to favour multi-stage attacks in which stealing sensitive data is a precondition for the real attack, and enables them to maximise damage and profits (while traditionally infrastructure cyber-attacks used to be direct attacks to the machinery and typically targeted control systems, not data). Threat actors, especially large ones such as nation states, also carry out complex attacks that leverage supply chain dependencies, and this trend continues to grow, as highlighted in the July 2020 analysis by the Atlantic Council. Likewise, with the transition to scenarios where users are proactively involved, prosumer data is becoming more and more sensitive. To achieve these objectives, CyberSEAS delivers an open and extendable ecosystem of 30 customisable security solutions providing effective support for key activities, and in particular: risk assessment; interaction with end devices; secure development and deployment; real-time security monitoring; skills improvement and awareness; certification, governance and cooperation. CyberSEAS solutions are validated through experimental campaigns consisting of 100+ attack scenarios, tested in 3 labs before moving out to one of 6 piloting infrastructures across 6 European countries. Out of the 30 solutions, 20 will reach TRL8+ and 10 TRL7.
Eimer Hochdruckreiniger

Eimer-Hochdruckreiniger umfassend: einen Wasserspeicher (Eimer), welcher auf einem Hochdruckreiniger sitzt, um Wasser, Hochdruckreiniger-Lanze, Schläuche oder Anschlusskabel aufzunehmen.
Hybrid lighting systems: Performance and design

Hybrid lighting systems simultaneously deliver daylight and electric light into the core of a building where they are combined and distributed via luminaires. The systems have only been developed in the last few years and accordingly there is little accumulated experience of light delivery or design methods. This paper presents measured data for a commercially available hybrid system located in the United Kingdom. The performance of the hybrid system is compared with that of a tubular daylight guidance system. The results are discussed in the context of use of the systems for a range of sky conditions. Design recommendations and limitations to address knowledge shortfalls for hybrid systems are put forward.
A citizen context aware platform to provide mobile public services

""This proposal relates to the necessary evolution of public services, leveraging the potential of ICT technologies, towards users’ increasing expectations about ubiquitous access, ease of use, friendliness, efficiency, security, transparency and participation in government decision making. Public services transformation will foster the interaction of citizens and businesses with public administrations.Our overall innovation project consists of a user-centric platform for the creation of user experience enhanced mobile public services, in order to improve the provision of public services and foster their utilization by citizens and businesses. The integration of mobile contextual information network creation platform, SMARTINDOOR, and a gamification platform, GAMILEKU, will contribute to motivate users to utilize public services and participate in government decision making, SMARTLEKU.""
Application centric ip/optical network orchestration

The Internet has evolved into a three layer structure: at the top layer sit the applications generating traffic that is groomed at the IP and/or OTN layers and finally transported at the optical layer. Specific application needs, such as latency or protection requirements, are seldom guaranteed, because they are usually implicit and even when they are not, the need of the grooming layer to map large numbers of small flows into the small numbers of very large and static lightpaths is an obstacle to effective service fulfillment.

ACINO proposes a novel application-centric network concept, which differentiates the service offered to each application all the way down to the optical layer, thereby overcoming the disconnect that the grooming layer causes between service requirements and their fulfillment in the optical layer. This allows catering to the needs of emerging medium-large applications, such as database migration in data centers. To realize this vision, ACINO aims to develop an open source, vendor-agnostic modular orchestrator, which will expose to applications a set of high level primitives for specifying service requirements, and then perform multi-layer (IP and optical) planning and optimization processes to map these requirements into a set of lightpaths. The orchestrator will also be able to perform re-optimization, by means of a novel online in-operation planning module. The ACINO consortium has strong industrial foundations, and plans to demonstrate the advantages of its approach in a testbed with commercial equipment in a carrier environment.

ACINO’s approach directly addresses the lack of dynamic control of optical networks, by automating planning and configuration tasks, and tackles the limitations in inter data center connectivity by allowing applications to request detailed and complex custom services to be provisioned in a timely manner. Overall, ACINO’s open source and vendor-agnostic approach will foster the emergence of open industry standards.
Development management and localism: Zeitgeist or lasting change?

The spatial planning approach has become accepted as the progressive theoretical and professional currency in England following the 2004 Planning and Compulsory Purchase Act. The reforms which followed sought considerable change in the remit of planning and the approach to community engagement. However, an often overlooked component of the spatial planning approach is development management; and yet it is potentially of most relevance to the challenges of neighbourhood planning and community resilience. 
Development management focuses upon outcomes (i.e. meeting needs) rather than outputs (the implications of permitting/refusing development - normatively related to the regulatory ‘DC’ function). The methodological approach is based around a more varied and multi-faceted concept than in the reactive past. A key part of this relates to the way in which community participation occurs and decision making takes place. This artcile discusses the concept that empowering communities through early engagement, support for community led initiatives/plans, Local Development Orders, and enhanced delegated decision making at the Parish level are examples of localism before Localism, and highlight the contemporary relevance of the development management approach. 
It is suggested, therefore, that rather than requiring a planning revolution, the current changes represent an opportunity to firstly recognise and secondly utilise existing tools to support community planning. Implementing further significant change in the planning system may not be in anyone’s best interest, least of all for the resilience of those communities it seeks to empower.
This article explores the evolution of the development management approach and its significance in the context of the proposed neighbourhood planning systems, including Neighbourhood Plans and Development Orders, the Community Right to Build, and community engagement and participation methods.
MindDigger: Feature Identification and Opinion Association for Chinese Movie Reviews

In this paper, we present a prototype system called Mind-Digger, which can be used to analyze the opinions in Chinese movie reviews. Different from previous research that employed techniques on product reviews, we focus on Chinese movie reviews, in which opinions are expressed in subtle and varied ways. The system designed in this work aims to extract the opinion expressions and assign them to the corresponding features. The core tasks include feature and opinion extraction, and feature-opinion association. To deal with Chinese effectively, several novel approaches based on syntactic analysis are proposed in this paper. Running results show the performance is satisfactory.
FPGA Implementation of Blue Whale Calls Classifier Using High-Level Programming Tool

In this paper, we propose a hardware-based architecture for automatic blue whale calls classification based on short-time Fourier transform and multilayer perceptron neural network. The proposed architecture is implemented on field programmable gate array (FPGA) using Xilinx System Generator (XSG) and the Nexys-4 Artix-7 FPGA board. This high-level programming tool allows us to design, simulate and execute the compiled design in Matlab/Simulink environment quickly and easily. Intermediate signals obtained at various steps of the proposed system are presented for typical blue whale calls. Classification performances based on the fixed-point XSG/FPGA implementation are compared to those obtained by the floating-point Matlab simulation, using a representative database of the blue whale calls.
Lithospheric structure beneath the central and western North China Craton and the adjacent Qilian orogenic belt from Rayleigh wave dispersion analysis

Abstract We used surface wave tomography to image the lithospheric S-wave velocity structure along a linear seismic array across the central and western North China Craton (NCC) and the adjacent Qilian orogenic belt (QB). Using waveform data from 8 earthquakes collected at 60 broadband stations, Rayleigh wave phase velocities were measured at periods of 20–120 s and subsequently inverted for reliable S-wave velocities from 60 to 200 km depth. Distinct lithospheric structures and marked lateral variations were revealed beneath the study region, correlating well with regional geological and tectonic features. The average S-wave velocity from 60 to 200 km depth beneath the array is ~ 4.45 km/s, ~ 1% lower than that in model AK135. High velocities of > 4.45 km/s are most pronounced beneath the stable Ordos Block (western NCC). However, the depth to which the observed high velocity body extends varies significantly laterally. It is deepest (~ 200 km) under eastern Ordos, and becomes shallower on both sides along the array. The maximum depth of the high velocity body gradually shallows westward and reaches ~ 110 km near the western edge of Ordos. This depth variation suggests a coexistence of both preserved and modified lithosphere in Ordos. The depth of high velocities decreases rapidly eastward by > 80 km over a lateral distance of
Uncertainty propagation in inverse reliability-based design of composite structures

An approach for the analysis of uncertainty propagation in reliability-based design optimization of composite laminate structures is presented. Using the Uniform Design Method (UDM), a set of design points is generated over a domain centered on the mean reference values of the random variables. A methodology based on inverse optimal design of composite structures to achieve a specified reliability level is proposed, and the corresponding maximum load is outlined as a function of ply angle. Using the generated UDM design points as input/output patterns, an Artificial Neural Network (ANN) is developed based on an evolutionary learning process. Then, a Monte Carlo simulation using ANN development is performed to simulate the behavior of the critical Tsai number, structural reliability index, and their relative sensitivities as a function of the ply angle of laminates. The results are generated for uniformly distributed random variables on a domain centered on mean values. The statistical analysis of the results enables the study of the variability of the reliability index and its sensitivity relative to the ply angle. Numerical examples showing the utility of the approach for robust design of angle-ply laminates are presented.
The Julian Alps between present and future: the Fusine lakes

This project is part of a wider integrated project called “The Julian Alps between present and future”. It envisages specific initiatives in the cross-border area comprised among the municipalities of Tarvisio and Resia (in Italy) and of Kranjska Gora and Bovec (in Slovenia), the publication of information material in two languages as well as the setting up of a Work Group of experts from the various participating bodies, who will have the task of assessing the progress of individual sub-projects. This initiative aims at re-launching tourism and consolidating the local economy in the cross-border area of the region, through the adoption of specific and integrated actions in the fields of high altitude, naturalistic, educational and rural tourism, by enhancing the local resources and maintaining the typical features of the area. Specifically, the project focuses on the Fusine Lakes district (Lower and Upper lake) to renovate the routes around and between the two lakes, and to build a car park and toilet facilities. In particular, part of the trail around the Lower Lake will be renovated and equipped to be accessible also to the disabled. In order to enhance the environmental morphology of the wooded area between the Fusine Lakes and the village of Ortigara, it is also envisaged to upgrade the service trail to Fontanafredda. The renovation of the access infrastructure, with the creation of a resting area near the protected area, makes the area accessible also for tourist and naturalistic purposes.
World’S first unmanned, fully aseptic multi-functional commercial filling line for the bio-/pharmaceutical industry

Aseptic Smart will demonstrate a novel fully robotised, multifunctional pharmaceutical filling line with capabilities of processing several container types (vials, syringes, cartridges, ampoules, etc.) and thus bringing the sector to the fore of Industry 4.0 revolution, which is the future of manufacturing in Europe. The technology enables fast changeovers ( 30 minutes) thus providing manufacturing flexibility and agility critical in processing smaller batches of more personalised injectable medicines. Robots eliminate the need for human intervention in aseptic area and thus solve two traditional challenges within the pharma industry-sterility assurance and contamination risk reduction. Machines have a modular design which allows cheaper and faster scaling out through addition of more modules where production increase is required and reduces technology transfer costs by 94%. The technology has the following additional advantages#58;58% lower operational costs - ca. 87% less parts reduce maintenance costs and energy consumption;Compact – up to 50% smaller size as robots replace bulky material movement components e.g. conveyor belts delivering manufacturing space savings;Increased process repeatability – robots reduce rejection rates to virtually zero (less than 0.05%)Because of this, the technology has attracted interest of some large pharma companies who, like several others, are shifting from developing quot;blockbusterquot; drugs towards personalised medicine; driving growth of the €6.6 billion global pharma packaging equipment market. The project will refine robot gripping system, integrate machines to robots, develop machine vision and control system before validation and end user demonstration in actual environment. This will support fast commercialisation enabling the consortium to capture 1.5% of the market 5 years after commercialisation, translating to cumulative consortium revenue of over earn cumulative revenues of €97m and return on investment of 696%.
Universalismo e comparação sob a ótica do direito romano

O artigo tem o objetivo de realizar uma investigação histórica sobre o processo de inserção do direito comparado no ensino jurídico brasileiro. Nesse sentido, será referido que o primeiro professor de legislação comparada da Faculdade de Direito do Recife identificou no direito romano o ponto comum para tratar o universalismo e desenvolver o método comparativo aplicado ao direito. O artigo pretende demonstrar a relevância do conhecimento do direito comparado na formação dos estudantes e futuros juristas como ferramenta técnica para resolver conflitos com base em legislações estrangeiras. Por fim, a pesquisa pretende ressaltar o protagonismo da América latina, no século XIX, através da cátedra de Legislação comparada.