SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Reference-distance Eviction and Prefetching for Cache Management in Spark

Optimizing memory cache usage is vital for performance of in-memory data-parallel frameworks such as Spark. Current data-analytic frameworks utilize the popular Least Recently Used (LRU) policy, which does not take advantage of data dependency information available in the application's directed acyclic graph (DAG). Recent research in dependency-aware caching, notably MemTune and Least Reference Count (LRC), have made important improvements to close this gap. But they do not fully leverage the DAG structure, which imparts information such as the time-spatial distribution of data references across the workflow, to further improve cache hit ratio and application runtime. In this paper, we propose and develop a new cache management policy, Most Reference Distance (MRD) that utilizes DAG information to optimize both eviction and prefetching of data to improve cache management. MRD takes into account the relative stage distance of each data block reference in the application workflow, effectively evicting the furthest and least likely data in the cache to be used, while aggressively prefetching the nearest and most likely data that will be needed, and in doing so, better overlapping computation with I/O time. Our experiments with a Spark implementation, utilizing popular benchmarking workloads show that, MRD has low overhead and improves performance by an average of 53% compared to LRU, and up to 68% and 45% when compared to MemTune and LRC respectively. It works best for I/O-intensive workloads.
Preparation and Application of PEG/PVP Copolymers

In this study, we produced a series of environmentally friendly multifunctional additives by polymerization of biodegradable polyethylene glycol (PEG) and N-Vinyl-2-pyrrolidone in different proportions. The copolymer molecular structure was confirmed by Fourier transform infrared spectroscopy, and the impact of the copolymers on dye absorption and dye interaction was investigated. The results showed that the series of copolymers produced displayed enhanced dye decolorization with increasing copolymer dose and time. Additionally, the PEG/polyvinylpyrrolidone (PVP) copolymers and dye molecules interacted; addition of copolymer enabled shifts of the dye λmax toward shorter wavelengths and decreased the UV absorbance. The addition of copolymers reduced the overall Zeta potential of the dye and increased the particle sizes, facilitating dye decolorization. In particular, the dye decolorization effect was the best when the PEG/PVP molar ratio was 8:1.
The Eyes Don’t Have It: Lie Detection and Neuro-Linguistic Programming

Proponents of Neuro-Linguistic Programming (NLP) claim that certain eye-movements are reliable indicators of lying. According to this notion, a person looking up to their right suggests a lie whereas looking up to their left is indicative of truth telling. Despite widespread belief in this claim, no previous research has examined its validity. In Study 1 the eye movements of participants who were lying or telling the truth were coded, but did not match the NLP patterning. In Study 2 one group of participants were told about the NLP eye-movement hypothesis whilst a second control group were not. Both groups then undertook a lie detection test. No significant differences emerged between the two groups. Study 3 involved coding the eye movements of both liars and truth tellers taking part in high profile press conferences. Once again, no significant differences were discovered. Taken together the results of the three studies fail to support the claims of NLP. The theoretical and practical implications of these findings are discussed.
RARE BARYONIC DECAYS Λb → Λl+l- IN THE TTM MODEL

In the framework of the top triangle moose model, we analyze the rare decays Λ b → Λl + l - (l = e, μ, τ) by using the form factors calculated in full QCD. We calculate the contributions of the new particles predicted by this model to observables, such as the branching ratios, forward–backward asymmetry (A FB ) and polarizations related these decay processes. We find that, in wide range of the parameter space, the values of the branching ratios are enhanced by one order of magnitude comparing to the standard model predictions. This model can also produce significant corrections to A FB , normal polarization P N and transversal polarization P T .
PK/PD modelling related to insulin

In this thesis a dynamic PK/PD model of a physical system is derived and used to predict BG level in type 1 diabetes patients. In order to gain systematic improvements of the derived model, both residual analysis and statistical tests will be used.
 PK/PB models are important tools for drug development in the pharmaceutical industry. PK models describe how a drug moves through the body in three phases: absorption phase, distribution phase and elimination phase, while PD models describe the effects of the drug in the body.
 Usually ordinary differential equations (ODEs) with an added random error are used to describe PK/PD models but in this thesis SDEs will be applied. The advantage of using SDEs instead of ODEs is that SDEs describe both true random biological variations in the data as well as unknown or uncontrollable variation factors in an individual e.g. stress, mood, daily conditions, heart rate etc.
 The derived model is tested on real data from clinical trials where an optimal set of parameters of the model are found for each trial day for all participants using a program called CTSM. Then the results are analyzed and any deficiency affecting the performance of the predictions detected.
Clinical relevance of genetic polymorphism in CYP2C9 gene to pharmacodynamics and pharmacokinetics of phenytoin in epileptic patients: validatory pharmacogenomic approach to pharmacovigilance

Variations in drug metabolizing genes are known to have a clinical impact on AED therapy. We genotyped normal and epileptic patient cohorts of monoethnic population of Kashmir valley for CYP2C9 gene and allelic polymorphism and investigated the effect of CYP2C9*2 and *3 polymorphism on the Pharmacokinetic and therapeutic and/or adverse pharmacodynamic responses to Phenytoin in the idiopathic epilepsy patients.PCR-RFLP methods were used for genotyping of 121 normal controls and 92 idiopathic epilepsy patients for CYP2C9*2 and *3 polymorphism, the results were validated by direct sequencing. Phenytoin pharmacokinetic (PK) analysis in idiopathic epilepsy patients was done using a validated EMIT assay technique. Pharmacodynamic analysis was done by evaluating clinical response to phenytoin therapy and ADR monitoring.The respective frequencies of CYP2C9 *1, *2, and *3 alleles were 64%, 6.6%, 29.3%, and 58%, 9.8%, 32.6% in controls and idiopathic epilepsy patients from Kashmir valley. PK analysis revealed that AUC0â4 was a better surrogate biomarker of CYP2C9 metabolizer status compared to C4 and C0 concentrations alone. A comparison of âphenytoin response categoriesâ among CYP2C9 Wild and Heterozygous groups did not reveal any significant difference between the groups (p=0.3800).CYP2C9* 3 was the most frequent mutant allele found in healthy controls and idiopathic epilepsy patients of ethnic Kashmiri population. CYP2C9 genotype based phenytoin therapy is highly relevant in Kashmiri population due to a high incidence of genetic variations associated with therapeutic and adverse responses to phenytoin. Phenytoin AUC0â4 tends to correlate better with genetic polymorphism of CYP2C9.
Convex hull of imprecise points ino(n log n)time after preprocessing

Motivated by the desire to cope with data imprecision, we study methods for preprocessing a set of line-segments (or just lines) in the plane such that whenever we are given a set of points, each of which lies on a distinct object, we can compute their convex hull more efficiently than in standard settings (that is, without preprocessing).In particular, we study the following problem: given a set L of n lines in the plane, we wish to preprocess L such that later, upon receiving a set P of n points, each of which lies on a distinct line of L, we can construct the convex hull of P efficiently. We show that in quadratic time and space it is possible to construct a data structure on L that enables us to compute the convex hull of any such point set P in O(n alpha(n) log* n) expected time. If we further assume that the points are oblivious with respect to the data structure, the running time improves to O(n alpha(n)). The analysis applies almost verbatim when L is a set of line-segments, and yields similar asymptotic bounds. We present several extensions, including a trade-off between space and query time and an output-sensitive algorithm. We also study the dual problem where we show how to efficiently compute the (
Fertility and mental health: the impact of assisted reproductive technology and fertility intentions on adults’ mental health.

In In the last decades, low fertility rates have increasingly been a policy and societal concern. Fertility rates have been coupled to the development of contraceptive and reproductive technologies, which dramatically affect the transition to parenthood. In Western societies, where contraceptive use is widespread, unintended births are now uncommon events associated with early motherhood, family instability and low socioeconomic status. Concomitantly, the utilization of Medically Assisted Reproduction (MAR), which often coincides with delays in childbearing and high socioeconomic resources, has rapidly increased and has revolutionized the way we think about parenthood. Despite growing interest from scholars and policymakers in fertility and MAR, there remains a lack of research on how fertility intentions and the mode of conception affect couples’ mental health longitudinally. By exploiting longitudinal survey data, I will be able, for the first time, to analyse how adults’ mental health changes before, during and after unintended, intended/natural and natural/medically assisted conceptions. Advanced statistical techniques (e.g. ‘distributed’ fixed effects models) will be used to remove the bias introduced by unobserved confounding factors. By examining Swedish Population register data, I will investigate how mental health changes before and after treatment among single women and (both heterosexual and lesbian) couples. The project, which will be hosted at the Max Planck Institute for Demographic Research (Germany), integrates four research areas (sociology, demography, epidemiology and psychology) to produce novel and cutting-edge research on fertility. The aim is to shed light on the effects of fertility intentions and the mode of conception in countries where unplanned births are less common (Germany and Switzerland) and more common (the UK and the US), and where the majority of MAR treatments are funded publicly (the Sweden and Germany) and and privately (U.K.).
Dynamic short‐sale constraints, price limits, and price dynamics

Purpose – The purpose of this paper is to take advantage of a natural experiment in Taiwan to test the effect of short‐sales constraints on price dynamics.Design/methodology/approach – Since September 1998, short‐selling is banned at a price below the close price of the previous trading day. The new rule creates unique daily dynamics of short‐sales constraints. The paper employs a difference‐in‐difference method to evaluate whether the short‐sales constraint rule plays an important role in the price dynamics.Findings – The results show that stock prices react to information in a way similar to if short‐selling was not banned. This is in line with the implication of a rational expectation framework like Diamond and Verrecchia.Research limitations/implications – The paper has implications on the short selling bans in the 2008/2009 credit crisis and the European debt crisis because the bans are public information as those in this setting. The rational agents in the market could incorporate the bans into pric...
Revolutionary nano coatings, for enhanced heat transfer in heating and cooling applications

Heat exchangers are core components of many energy intensive applications in heating and cooling. They have not benefited from much improvement in performance for many decades. However, European legislation to limit greenhouse gas emissions and the prospect of bans on refrigerants (and the side effect of rising refrigerant prices) is driving change. Oxford nanoSystems is uniquely positioned to help manufacturers and system integrators meet the ambitious timetable of regulations, while saving them money and resources.
Oxford NanoSystems has devised NanoFLUX, a novel process for the application of nanostructured heat transfer coatings, which greatly improves the efficiency of heat exchangers. Heat exchangers, and by extension systems such as air conditioning or refrigeration units, are made more efficient (-40% energy), more compact (-50% size and weight), with and require -70% less refrigerant – which both cuts costs and reducing greenhouse gas emissions. 
The cost effective NanoFLUX process treats pre-manufactured components, so the innovation can be easily integrated into existing volume plant lines with low upfront investment, achieving scale quickly. The company aims to penetrate a servicable market of over €2.2bn, within an overall €26bn heat exchanger market, growing at CAGR 8.2%.
The innovation has already gained significant market interest: NanoFLUX has achieved step-change improvements in tests on the most efficient devices of manufacturers such as SWEP and Alfa Laval. 
The team includes experienced entrepreneurs, first class engineers, and decades of commercial experience in heat transfer industries. 
Oxford NanoSystems aims to build from existing R&D revenues, reaching scale commercial contracts by 2021, achieving €30 million revenue and over 200 job creation by 2024. It will contribute to boosting the declining EU leadership position in sustainable and innovative heat transfer technologies.
Engineered microbial factories for co2 exploitation in an integrated waste treatment platform

The ENGICOIN proposal aims at the development, from TRL3 to TRL5, of three new microbial factories (MFs), integrated in an organic waste anaerobic digestion (AD) platform, based on engineered strains exploiting CO2 sources and renewable solar radiation or H2 for the production of value-added chemicals, namely: 
MF.1) the cyanobacteria Synechocystis  to produce lactic acid from either biogas combustion flue gases (CO2 concentration ~ 15%) or pure and costless CO2 streams from biogas-to-biomethane purification.
MF.2) the aerobic and toxic metal tolerant Ralstonia eutropha to produce PHA bioplastics from biogas combustion flue gases and complementary carbon sources derived from the AD digestate.
MF.3) the anaerobic Acetobacterium woodii to produce acetone from the CO2 stream from biogas-to-biomethane purification.
High process integration will be guaranteed by taking advantage of low-grade heat sources (e.g. from cogenerative biogas-fired engine or an tailored PEM electrolyser), exploitable side gas streams (e.g. O2 from electrolysis, CO2 from biomethane purification), low-price electricity produced during night-time by a biogas-fired-engine cogeneration unit or even intensified operation conditions (e.g. up to 10 bars pressure for the anaerobic acetone production bioreactor; led-integrated photo-bioreactor). This is an essential feature, alongside with the high conversion rates enabled by synthetic and systems biology on the above microorganisms, to achieve competitive selling prices for the key target products (1.45 €/kg for lactic acid; 3.5 €/kg for PHA; 1 €/kg for acetone).
Notwithstading the key application platform (anaerobic biorefinery based on organic wastes) the innovative production processes developed have a great exploitation potential in other application contexts: flue gases from different combustion appliances (e.g. cement kilns), alcoholic fermentation CO2 streams (e.g. lignocelluosic biorefineries, breweries), etc.
An insight into the bread bubble structure: An X-ray microtomography approach

Abstract An insight into bread bubble structure is presented in this study. In particular, different types of bread have been investigated differing both in the yeast and water contents and therefore leading to distinct cellular structures. X-ray microtomography was used in combination with advanced statistical methods in order to find a correlation between the bread bubble size and its shape. Therefore in order to obtain in depth quantitative information the individual object geometrical parameters, OV, OS and SMI as stated above, were calculated using CTAn software (SkyScan) as these parameters provide the quantitative information for every single object (pore) present in the samples. The statistical results confirm that the small air cells incorporated in the dough and that are more or less cylindrical in nature, continue to grow and change shape (more plate like in nature) during baking. The results also highlight that this change in the shape with the increase of pore volume and surface is independent of the yeast or water content.
SUPPORT FOR ATTACHING ELECTRONIC APPARATUSES TO BICYCLE HANDLEBARS AND THE LIKE

The support takes the form of a bracket (1-5), designed to attach the assembly to the bicycle handlebars, the bracket defining a mortise-type structure (10) for coupling and attaching the electronic apparatus in question, such as, for example, a mobile telephone, an MP3 player, a GPS device, a mini-computer, etc., said bracket (1-5) being associated with a receptacle (12) for a set of support batteries (13) also capable of powering the electronic apparatus mounted on the support. The electronic apparatus can thus be easily mounted onto and detached from the bicycle handlebars, attachment is stable and, furthermore, said apparatus is made considerably more autonomous owing to the support batteries that are also incorporated into the actual support, said support batteries being rechargeable and, in turn, recharging thereof being facilitated by the likewise detachable or removable way in which the receptacle is mounted on the bracket (1-5).
INVESTITIONEN ZUR UNTERSTÜTZUNG DER TECHNOLOGISCHEN STÄRKUNG VON START-UPS FÜR DIE ENTWICKLUNG NEUER DIENSTE AUF DER GRUNDLAGE KÜNSTLICHER INTELLIGENZ. ERNEUERUNG MATERIELLER UND IMMATERIELLER UNTERNEHMENSSTRUKTUREN.

DIE INVESTITION VON NCORE MUSS IM LICHTE DER WICHTIGEN ENTWICKLUNG DES MARKTES UND DES KONTINUIERLICHEN WACHSTUMS DES UNTERNEHMENS IN BEZUG AUF DIE VERWALTUNG VON KANDIDATENPROFILEN UND GROSSEN KUNDENMARKEN, DIE SEINE DIENSTLEISTUNGEN ERFORDERN, GELESEN WERDEN. HEUTE VERWALTET NCORE RUND 5 MILLIONEN KANDIDATEN (DURCHSCHNITTLICH 15.000 PROFILE PRO TAG). IMMER MEHR GROSSE UND RENOMMIERTE NATIONALE UND INTERNATIONALE UNTERNEHMEN VERLASSEN SICH AUF IHRE DIENSTLEISTUNGEN. WÄHREND ADECCOS BEITRITT 2019 REGISTRIERT WURDE, HAT NCORE 2020 UNTER VERTRAG GENOMMEN: ZAMBON (CHEMISCHE-PHARMAZEUTISCHE), ARUBA, EINLAGEN- UND DARLEHENSFONDS UND SATTELBANK; SAIPEM (PETROLIFER). DIE AUSSICHTEN AUF DIE EINBEZIEHUNG IN DEN FRANZÖSISCHEN MARKT (ADECCO FRANCE) UND SPANISCH SIND GUT. NCORE WILL DAS INTERESSE UND DIE NACHFRAGE DURCH INVESTITIONEN FÖRDERN, UM EINE „PHASE 2“ DER ENTWICKLUNG DER PLATTFORM ZU REALISIEREN, INDEM ELEMENTE KÜNSTLICHER INTELLIGENZ GESCHAFFEN WERDEN, DIE DIE ANGEBOTENEN DIENSTLEISTUNGEN DURCH BISHER NICHT VORHANDENE FUNKTIONEN UND VORTEILE IN DER BRANCHE ENORM ERNEUERN KÖNNEN. ES IST FOLGENDES ZU VERSTEHEN: 1) PR-ALGORITHMEN ERSTELLEN
Biomass and co2 valorisation to high value added chemicals

BIOALL falls in the topics of fighting climate change, circular economy and clean energy through the development of efficient low-cost processes for the conversion of biomass and CO2 into high added-value chemicals and fuels. The scientific objectives of the projects aim at obtaining high added value chemicals from biomass. This will be done using a subproduct of biorefinery processes, formic acid, as hydrogen source to transform two key biomass derivative molecules, succinic acid and furfural into gamma-butyrolactone and furfuryl alcohol, that can be used as building block to produce chemicals for the pharmaceutical industry. By doing so, we avoid the use of hydrogen from fossil fuels. Since, formic acid decomposition results also in CO2. we also aim at obtaining cost-effective catalysts for the so-called automethanation, a reaction in which by adding oxygen the yield to methane is enhanced and that can be used in any process to convert CO2. The study of the reactions mechanisms will be also pursued to optimize the processes and expand the knowledge in this area to be useful for related transformations. To achieve these ambitious objectives, BIOALL is composed of a solid multidisciplinary (materials science, catalysis, engineering, economics, management, environmental, social and cost life cycle assessment) and international (Spain, Germany, France, The UK, Chile, Colombia and China) consortium that holds all the scientific, economical and human resources for the successful project development. The intersectoral partnerships with 3 relevant actors in the field, will be key in assessing the objectives. 
The project will bring together these complementary skills to develop synergies from which a significant added value is expected concerning the progress on the topic and to develop a fruitful long-term cooperation while training researchers and approaching research to the general public.
IMAGE RECOGNITION METHOD, APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT

The present disclosure provides an image recognition method, apparatus, electronic device, storage medium, and program product, and relates to the fields of artificial intelligence, computer vision, deep learning, image processing, and the like. The method includes: performing joint training on a first sub-network configured for recognition processing and a second sub-network configured for retrieval processing in a classification network by adopting an identical set of training data to obtain a trained target classification network, wherein, the first sub-network and the second sub-network are twin networks that are consistent in network structures and share a set of weights; and inputting image data to be recognized into the target classification network to obtain a recognition result. By adopting the method, the accuracy of the image recognition may be improved.