SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Nano-Optomechanical systems for biological sensors

The emergence of antibiotic resistance is one of the major challenges in microbiology and medicine today. Early identification of the pathogens causing an infection and the rapid identification of antibiotic resistance is critical to provide the most effective drugs to the patient and to avoid costly and inefficient treatments that can potentially lead to the development of further resistances. This project proposes application of nano-optomechanical disk resonators to face this challenge. We expect to achieve ultra-sensitive and ultrafast gene-based pathogen detection with subzeptogram (10-21g) mass resolution, beating current techniques. The development of arrays of 100s of microdrum devices per chip will weigh complementary DNA strands to those immobilized on the microdrum surface, so tens of different pathogens in a sample can be identified, along with antibiotic resistances, which are also marked by mutations. The devices will be challenged with a proof-of-principle application to identify sepsis-causing pathogens from blood samples and their resistance to the most commonly used antibiotics. The proposed devices provide a large binding area to reduce the analysis time while preserving extreme sensitivity, down to a few biomolecules (DNA strands). We will be able to screen for tens of different pathogens per chip, with sensitivity good enough to target early infection stages from a standard blood extraction. This multidisciplinary and intersectorial project promotes the collaboration of well-recognized academic research groups expert in the optomechanics field and in the development of novel biosensing tools, a clinical laboratory and an industrial partner, pursuing to generate greater economic and social impact; as well as a highly effective training program for the benefit of the researcher.
Pyramid Codes

We design flexible schemes to explore the tradeoffs between storage space and access efficiency in reliable data storage systems. Aiming at this goal, two new classes of erasure-resilient codes are introduced -- Basic Pyramid Codes (BPC) and Generalized Pyramid Codes (GPC). Both schemes require slightly more storage space than conventional schemes, but significantly improve the critical performance of read during failures and unavailability. As a by-product, we establish a necessary matching condition to characterize the limit of failure recovery, that is, unless the matching condition is satisfied, a failure case is impossible to recover. In addition, we define a maximally recoverable (MR) property. For all ERC schemes holding the MR property, the matching condition becomes sufficient, that is, all failure cases satisfying the matching condition are indeed recoverable. We show that GPC is the first class of non-MDS schemes holding the MR property.
Estimation and forecasting with logarithmic autoregressive conditional duration models: A comparative study with an application

• Efficient estimation of Log-ACD models using the estimating functions (EF) method. • Study the finite sample behavior of new estimators through a simulation study. • Compare the results via the EF and maximum likelihood (ML) methods. • Apply the EF and ML methods for duration data for ACD models. • Compare forecast abilities for ACD models through the EF and ML methods. This paper presents a semi-parametric method of parameter estimation for the class of logarithmic ACD (Log-ACD) models using the theory of estimating functions (EF). A number of theoretical results related to the corresponding EF estimators are derived. A simulation study is conducted to compare the performance of the proposed EF estimates with corresponding ML (maximum likelihood) and QML (quasi maximum likelihood) estimates. It is argued that the EF estimates are relatively easier to evaluate and have sampling properties comparable with those of ML and QML methods. Furthermore, the suggested EF estimates can be obtained without any knowledge of the distribution of errors is known. We apply all these suggested methodology for a real financial duration dataset. Our results show that Log-ACD (1, 1) fits the data well giving relatively smaller variation in forecast errors than in Linear ACD (1, 1) regardless of the method of estimation. In addition, the Diebold–Mariano (DM) and superior predictive ability (SPA) tests have been applied to confirm the performance of the suggested methodology. It is shown that the new method is slightly better than traditional methods in practice in terms of computation; however, there is no significant difference in forecasting ability for all models and methods.
Habit-Forming:

Under the influence of a reading style that Avital Ronell has called “narcoanalysis,” this article performs a reading of addiction and humility through David Foster Wallace’s novel Infinite Jest . Exploring both addiction and humility through the vector of habit, I argue that both habits indicate the non-self-sufficiency of a subject exposed to affection from outside. But while I position addiction alongside humility, both as habits, I also argue that humility parasitizes the totalizing logic of addictive habit. Neither identical to nor simply the opposite of addiction, humility exploits addiction’s structure of uncontrollable relationality. Even addiction depends on the affectability or rhetoricity of a subject always already exposed in language. Humility holds this rhetoricity open.
Interview: Progress and promise in the therapy of lung cancers

Dr Mark Kris* speaks to Marco De Ambrogi, Commissioning Editor: Dr Mark Kris is currently serving as William and Joy Ruane Chair in Thoracic Oncology at the Memorial Sloan-Kettering (MSK) Cancer Center (NY, USA), where he has been on the staff since 1983. He also is a Professor of Medicine at the Weill Cornell Medical College (NY, USA). After serving as Chief of the Thoracic Oncology Service at MSK Cancer Center since 1990, Dr Kris has recently been named Lead Physician for the MSK–IBM Watson Collaboration. He specializes in thoracic malignancies including lung cancer, thymoma and cancers of an unknown primary site. His research interests include targeted therapies for lung cancer, multimodality therapy, the development of new anticancer drugs and symptom management with a focus on preventing emesis, the most dreaded side effect of cancer and cancer treatment. Dr Kris received his medical degree from Cornell University Medical College, completed residencies at the New York Hospital Cornell Medical Center/MSK Cancer Center program, and performed his fellowship at MSK Cancer Center. An American Society of Clinical Oncology member since 1983, Dr Kris has served on and led numerous committees. He received an American Society of Clinical Oncology Statesman Award in 2010 in recognition of his service to the society.
Quality management for building performance - improving energy performance by life cycle quality management

The estimated average gap between calculated and actual energy performance of the European building stock is 25% for energy performance and 1,5% for comfort performance (as scored by building occupants). 
Comprehensive research has shown that faultily commissioned and operated building management systems are a main cause for this gap mainly caused by the lack of appropriate and coherent quality management systems for building performance. 
The objective of this project is therefore to develop and demonstrate pragmatic services and appropriate tools supporting quality management in the design, construction, commissioning and operation phase as a means to close this gap in European buildings. The project will integrate different innovative ICT-driven tools supporting the quality management process into building and energy services, and will apply them to a representative set of European buildings (taking into account different climate zones and different energy services). 
The result of this project will be a comprehensive QUANTUM quality management platform integrating tools, services and processes. 
The partners will implement EU-wide dissemination activities to inform the stakeholders about the advantages of comprehensive quality management systems for the building industry, and to promote the tools validated in the project. 
Stakeholders that will benefit from the results of this project include building owners, tenants, ESCOs, developers, architects, engineering and consulting firms, students and public authorities. 
Aside from savings on the energy costs CO2 emissions will be reduced and employee productivity in buildings equipped with the tools and services will increase as well due to increased occupant comfort. 
From previous preliminary data and own estimations, the QUANTUM partners expect that the reduction in energy consumption achieved by coherent quality management for building performance to be more than 10%.
FILLINGS AND OTHER ASPECTS OF FIBERS

Fiberballs for filling uses in pillows, cushions and for like support purposes, from blends of slickened fiberfill of regular denier, to provide support and resilience, mixed with minor amounts of lower denier slickened fibers to provide optimum aesthetics.
A new method of cut-blasting for vertical shaft excavation and its experimental study

Based on cutting principle and technology development of vertical blasthole cut by stage and deck in vertical shaft excavation, combined with the merits of middle space charging and toe space charging, the reinforced cutting effect of central large-diameter blasthole and the method of cutting blast by stage and deck toe space charging for the vertical large-diameter blastholes was put forward and analyzed theoretically. This new cut blasting method is provided with the advantages of high blasthole using ratio, big cavity bulk, low rate of chunk, even lumpiness, and relatively high energy using ratio. The parameter choices and practical effects of this cutting method were discussed after in situ experiment. It shows that the decked delay time of 75∼100 ms is applicable.
Boosting productivity and performance in drug discovery with sequoia - semantic query of information assets

Synapse Information (UK) have developed a novel semantic web technology, SEQUOIA – Semantic Query of Information Assets – allowing users to rapidly question > 100 disparate data assets in a code-free spreadsheet environment. Having proved the core platform functionality within the financial sector, Synapse now seek to apply SEQUOIA to the field of drug discovery R&D. 

New drugs are required urgently to treat cancers & other rare/neurological diseases. However, costs and timescales of drug development are huge due to high failure rates. A principle barrier is the lack of real time comparison of disparate datasets, which can identify causal correlations behind reactions throughout the R&D process. Building on the prototype kernel solution, SEQUOIA targets the many high performance silos of public online drug R&D data, enabling all researchers to semantically probe these ontologies against internal R&D. Synapse therefore aim to catalyse a strategic 10 - 100× productivity gain during the discovery phase to disrupt the €5.5 billion/yr drug discovery software market. 

The overall project aims to: fulfil the further technical developments required to transfer SEQUOIA into priority sectors within drug R&D; initiate the technical and commercial partnerships with key stakeholders in the pharmaceutical industry; validate performance through extended field trials; establish regulatory compliance; deliver compatibility with key user data environments; and optimise a developed product. 

The proposed Phase 1 feasibility study seeks to address these requirements through: delivery of an elaborated business plan; prioritised EU market entry strategy; analysis of market-held data assets, technical development roadmap; engagement of key stakeholders in the pharmaceutical industry; supply chain initiation; development of IP strategy and value model; as well as regulatory and legal roadmaps for the final phase of developments and exploitation.
A pharmacogenetic study of vorinostat glucuronidation

High interindividual pharmacokinetic variability was observed in phase 1 studies of vorinostat (suberoylanilide hydroxamic acid), an oral histone deacetylase inhibitor. Thus, we hypothesized that the variability can be explained by genetic variants of the uridine 5'-diphosphate-glucuronosyltransferases (UGTs) involved in vorinostat metabolism. Baculosomes expressing human UGTs and 52 human liver microsomes were screened for vorinostat glucuronidation activity to identify the potential enzymes and functional variants. UGT2B17 had the largest activity. Human liver microsomes with at least one copy of UGT2B17 showed significantly greater enzymatic activity than those with UGT2B17 null genotype (P<0.004). UGT2B17 plays an important role in vorinostat hepatic glucuronidation and the gene deletion polymorphism may influence vorinostat biotransformation and clearance. The clinical impact of this UGT2B17 genetic variant on vorinostat metabolism and drug effect is unknown.
Prefix variation as a challenge to Russian aspectual pairs: are завязнуть and увязнуть ‘get stuck’ the same or different?

Two key issues in Russian linguistics are the traditional assumptions that (a) the aspect system presents ‘pairs’ of verbs that are perfective vs. imperfective, and that (b) since the lexical meanings of the two verbs that form a pair are identical, the affix that marks aspect has no semantic content. In relation to prefixed perfectives, this approach can be called the Empty Prefix Hypothesis. The alternative approach, which can be called the Overlap Hypothesis, suggests that semantic emptiness is an illusion created by an overlap in the meanings of the base verb and the prefix. A long-standing debate over these two hypotheses remains unresolved. We address this debate via a phenomenon that has not previously been investigated in a thorough manner, namely prefix variation. Prefix variation is present when an imperfective base verb forms two or more aspectual partner verbs with the same lexical meaning, as illustrated by the two verbs завязнуть and увязнуть in our title. We present a detailed empirical analysis, showing that prefix variation is both frequent and systematic in Russian, and that our results support the Overlap Hypothesis.
Intelligent grid platform

The energy sector is going through a transformation from a one directional centralized system in which energy is produced by a limited number of big power plants into a highly decentralized ecosystem due to the introduction of small-scale renewable energies and the electrification of mobility. In this situation, power distribution grid operators’ current workflows and IT systems cause inconsistent data management which complicates their planning and operation activities. Therefore, essential grid planning and operation workflows involve significant manual input. As a result, e.g. the evaluation of a connection request for a single new wind turbine often takes multiple days. Additionally, Smart Grid Technologies cannot be used to their full extent to avoid curtailment of renewables in congestion management, and to substitute conventional expensive grid capacity expansions.
We have developed the Intelligent Grid Platform (IGP), the only integral software solution using machine learning algorithms to allow grid operators to reduce their operational and network expansion investment costs by giving them the means to clean and connect their data, digitize and automate their grid planning and operation activities and to more easily integrate smart grid technologies to help their operation processes and avoid expensive network capacity extensions. As a result, they save time and engineering resources by up to 70% and reduce grid operation and expansion costs by 40% to 60%. In this project, we will advance the IGP applications for online gird operation.
SYSTEM AND METHODS OF DEEP BRAIN STIMULATION FOR POST-OPERATION PATIENTS

A method for programming a deep brain stimulator implanted in a target region of a brain of a living subject for optimal stimulation, wherein the deep brain stimulator comprises at least one electrode having a plurality of electrode contacts spaced apart from each other, and any portion of the brain of the living subject is identifiable by a set of corresponding spatial coordinates. In one embodiment, the method comprises the steps of creating an efficacy atlas in which any spatial coordinates for a position in a target region of the brain of the living subject are related to a position with corresponding atlas coordinates in the efficacy atlas, and each position in the atlas coordinates of the efficacy atlas is associated with an efficacy of stimulation at a corresponding position in the spatial coordinates of the brain of the living subject; acquiring a position of each electrode contact of the at least one electrode in the spatial coordinates of the brain of the living subject; mapping the acquired position of each electrode contact of the at least one electrode in the spatial coordinates of the brain of the living subject onto a corresponding position in the efficacy atlas so as to determine the efficacy of stimulation at the acquired position in the spatial coordinates of the brain of the living subject; and selecting one or more electrode contacts having the highest efficacy for stimulation.
METHOD OF DEPOSITING A PEROVSKITE MATERIAL

There is provided a method of producing a photovoltaic device comprising a photoactive region comprising a layer of perovskite material, wherein the layer of perovskite material is disposed on a surface that has a roughness average (Ra) or root mean square roughness (R rms) of greater than or equal to 50 nm. The method comprises using vapour deposition to deposit a substantially continuous and conformal solid layer comprising one or more initial precursor compounds of the perovskite material, and subsequently treating the solid layer with one or more further precursor compounds to form a substantially continuous and conformal solid layer of the perovskite material on the rough surface. There is also provided a photovoltaic device comprising a photoactive region comprising a layer of perovskite material disposed using the method.
Sediment-associated bacterial community and predictive functionalities are influenced by choice of 16S ribosomal RNA hypervariable region(s): An amplicon-based diversity study

Meta-omics approaches such as high-throughput sequencing of 16S hypervariable region(s) [HVR(s)] is extensively applied for profiling microbial community. Several studies have deciphered the influence of HVR(s) on bacterial diversity; most of these were devoted to human body habitats. Extent to which targeted HVR(s) influences the diversity estimates of environmental samples is rather unclear. Here, we evaluated the performance of five widely used universal primer pairs spanning V1-V3, V3-V4, V4, V5-V6 and V7-V9 HVRs to characterize bacterial diversity and predictive functionality of complex marine sediments. Obtained results revealed that the HVR(s) V4 and V5-V6 represented the higher species richness than others while, V1-V3 and V7-V9 were unsuccessful to detect Bacteroidetes and Planctomycetes. Further, PICRUSt analysis showed that the selected HVR(s) also had significant impact on the predictive functional profile. Conclusively, this study proved that HVR selection has a profound effect on overall results and thus should be selected with utmost caution. • Evaluated the performance of 16S hypervariable regions in marine sediment. • Hypervariable regions significantly influence the amplicon-based diversity study. • Region(s) V5-V6 & V4 provide ideal diversity estimates than others. • V7-V9 regions failed to detect abundant phylum Bacteroidetes & Planctomycetes. • Study highlights the importance of selecting appropriate hypervariable region.
Valorisation of natural und cultural heritage for marketing and tourism in the Alpine Space - dynamic rural alpine space

DYNALP serves the implementation of the Alpine Convention. App. 50 communities from the entire Alpine Space form an operational network to provide a dynamic stimulus for the rural Alpine Space.
OBJECTIVES: 
1. Implementation of projects for the protocols “tourism”, “environmental protection and landscape management”, “mountain farming”, “sustainable development and regional planning”. 
2. Visualising possibilities and developing positions with regards to European regional policies 
3. Increasing competence for sustainable development in small municipalities and regions. 
MEANS: 
1. Trans-national exchange of experiences. 
2. Linking local competence with international expertise. 
3. Applying the innovative methodology “autodidactic learning for sustainability”. 

The pilot actions will trigger investments of a minimum of 20 million Euro. The project structure builds on an extension of the Alliance in the Alps, which so far did not have a specifically implementation-oriented character.
Disseminated intravascular coagulation in patients with solid tumors.

Disseminated intravascular coagulation (DIC) is an occasional complication of solid tumors, usually identified at the time of presentation because of excessive bleeding, thromboembolic complications, or abnormal laboratory test results. The latter include an unexplained low platelet count, a low fibrinogen level, an elevated D-dimer level, and a prolonged prothrombin time. Prompt diagnosis and treatment of the underlying malignancy can result in resolution of the DIC. Further, if the tumor is responsive to chemotherapy, a reasonable median survival can also result. Excessive bleeding at presentation can be managed with platelet transfusions, cryoprecipitate, and fresh frozen plasma. Thromboembolic complications can be managed with continuous intravenous heparin and supportive platelet transfusions; cryoprecipitate can be used whenever necessary to support platelet and fibrinogen levels. On occasion, when excessive bleeding and venous thromboembolism occur together, placement of a vena cava filter is required, along with the administration of platelets and cryoprecipitate.
Concerning Feasibility of Water Microleakage Diagnostics by Auto-oscillating Discharge

One of the perspective methods of water microleakages detection in thermonuclear devices is presented. Method is based on the secondary electron emission instability of Debye near-electrode layers in the contact of nonequilibrium plasma with electrode surface covered by thin dielectric film. Method is based on detection of beam-plasma discharge transition into auto-oscillation regime. It is observed when balance between oxidation and sputtering of a contact surface covered by thin dielectric film is shifted. The method has better sensitivity ( 1016 mol/s and > 2000 s, respectively). In addition, it allows detecting negligible oxygen-containing admixture. In perspective, this method will allow to localize a water microleakage in vacuum chambers of thermonuclear devices and determine a water vapor flow by features of IV-curve.
Adoption of Innovative Agricultural Practices Across the Vegetable Supply Chain

ABSTRACTIn India the vegetable supply chain has traditionally been fragmented since the majority of growers are smallholders with limited exposure to improved agricultural practices. This study analyzed behavior of 556 vegetable growers in 6 districts of Uttar Pradesh, India, concerning adoption of innovative agricultural practices: crop rotation, green manuring, crop diversification, sorting and grading of produce, and market and price analysis from crop establishment through postharvest and marketing. Most respondents were smallholders. For purposes of this report, vegetable growers have been divided into the relative classification of those with landholdings of 2 ha and differences in adoption behavior assessed. Those with <2 ha were inclined to adopt innovative farm practices. However, this class of grower continues to face challenges due to socioeconomic, farm level, and institutional constraints. Innovative agricultural practices among smallholders are required for supply chain efficiency...