CLSE: Corpus of Linguistically Significant Entities

One of the biggest challenges of natural language generation (NLG) is the proper handling of named entities. Named entities are a common source of grammar mistakes such as wrong prepositions, wrong article handling, or incorrect entity inflection. Without factoring linguistic representation, such errors are often underrepresented when evaluating on a small set of arbitrarily picked argument values, or when translating a dataset from a linguistically simpler language, like English, to a linguistically complex language, like Russian. However, for some applications, broadly precise grammatical correctness is critical -- native speakers may find entity-related grammar errors silly, jarring, or even offensive. To enable the creation of more linguistically diverse NLG datasets, we release a Corpus of Linguistically Significant Entities (CLSE) annotated by linguist experts. The corpus includes 34 languages and covers 74 different semantic types to support various applications from airline ticketing to video games. To demonstrate one possible use of CLSE, we produce an augmented version of the Schema-Guided Dialog Dataset, SGD-CLSE. Using the CLSE's entities and a small number of human translations, we create a linguistically representative NLG evaluation benchmark in three languages: French (high-resource), Marathi (low-resource), and Russian (highly inflected language). We establish quality baselines for neural, template-based, and hybrid NLG systems and discuss the strengths and weaknesses of each approach.Comment: Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2022) at EMNLP 202

Bcl-xL acts as an inhibitor of IP3R channels, thereby antagonizing Ca2+-driven apoptosis

Anti-apoptotic Bcl-2-family members not only act at mitochondria but also at the endoplasmic reticulum, where they impact Ca dynamics by controlling IP receptor (IPR) function. Current models propose distinct roles for Bcl-2 vs. Bcl-xL, with Bcl-2 inhibiting IPRs and preventing pro-apoptotic Ca release and Bcl-xL sensitizing IPRs to low [IP] and promoting pro-survival Ca oscillations. We here demonstrate that Bcl-xL too inhibits IPR-mediated Ca release by interacting with the same IPR regions as Bcl-2. Via in silico superposition, we previously found that the residue K87 of Bcl-xL spatially resembled K17 of Bcl-2, a residue critical for Bcl-2’s IPR-inhibitory properties. Mutagenesis of K87 in Bcl-xL impaired its binding to IPR and abrogated Bcl-xL’s inhibitory effect on IPRs. Single-channel recordings demonstrate that purified Bcl-xL, but not Bcl-xL, suppressed IPR single-channel openings stimulated by sub-maximal and threshold [IP]. Moreover, we demonstrate that Bcl-xL-mediated inhibition of IPRs contributes to its anti-apoptotic properties against Ca-driven apoptosis. Staurosporine (STS) elicits long-lasting Ca elevations in wild-type but not in IPR-knockout HeLa cells, sensitizing the former to STS treatment. Overexpression of Bcl-xL in wild-type HeLa cells suppressed STS-induced Ca signals and cell death, while Bcl-xL was much less effective in doing so. In the absence of IPRs, Bcl-xL and Bcl-xL were equally effective in suppressing STS-induced cell death. Finally, we demonstrate that endogenous Bcl-xL also suppress IPR activity in MDA-MB-231 breast cancer cells, whereby Bcl-xL knockdown augmented IPR-mediated Ca release and increased the sensitivity towards STS, without altering the ER Ca content. Hence, this study challenges the current paradigm of divergent functions for Bcl-2 and Bcl-xL in Ca-signaling modulation and reveals that, similarly to Bcl-2, Bcl-xL inhibits IPR-mediated Ca release and IPR-driven cell death. Our work further underpins that IPR inhibition is an integral part of Bcl-xL’s anti-apoptotic function.The work was supported by Grants from the Research Foundation—Flanders (FWO) (G.0901.18N), by the Research Council of the KU Leuven (OT14/101, C14/19/099, C14/19/101, and AKUL/19/34), the Interuniversity Attraction Poles Program (Belgian Science Policy; IAP-P7/13), the Central European Leuven Strategic Alliance (CELSA/18/040), and the Canadian Institutes Health Research (FDN143312). NR and HI are recipient of postdoctoral fellowships of the FWO; HI obtained a travel grant from the FWO to perform work in DIY’s laboratory. GB, JBP and DIY are part of the FWO Scientific Research Network CaSign (W0.019.17N). Work in DIY’s lab is supported by NIH (NIDCR) grant DE014756. DWA holds the Tier 1 Canada Research Chair in Membrane Biogenesis. The Switch laboratory was supported by the Flanders institute for Biotechnology (VIB), the University of Leuven, the Fund for Scientific Research Flanders (Hercules Foundation/FWO AKUL/15/34—G0H1716N). NL is funded by the Stichting Alzheimer Onderzoek (SAO-FRA 2020/0013) and is recipient of FWO postdoctoral fellowships (12P0919N and 12P0922N to NL)

A Chirality-Based Quantum Leap

There is increasing interest in the study of chiral degrees of freedom occurring in matter and in electromagnetic fields. Opportunities in quantum sciences will likely exploit two main areas that are the focus of this Review: (1) recent observations of the chiral-induced spin selectivity (CISS) effect in chiral molecules and engineered nanomaterials and (2) rapidly evolving nanophotonic strategies designed to amplify chiral light-matter interactions. On the one hand, the CISS effect underpins the observation that charge transport through nanoscopic chiral structures favors a particular electronic spin orientation, resulting in large room-temperature spin polarizations. Observations of the CISS effect suggest opportunities for spin control and for the design and fabrication of room-temperature quantum devices from the bottom up, with atomic-scale precision and molecular modularity. On the other hand, chiral-optical effects that depend on both spin- and orbital-angular momentum of photons could offer key advantages in all-optical and quantum information technologies. In particular, amplification of these chiral light-matter interactions using rationally designed plasmonic and dielectric nanomaterials provide approaches to manipulate light intensity, polarization, and phase in confined nanoscale geometries. Any technology that relies on optimal charge transport, or optical control and readout, including quantum devices for logic, sensing, and storage, may benefit from chiral quantum properties. These properties can be theoretically and experimentally investigated from a quantum information perspective, which has not yet been fully developed. There are uncharted implications for the quantum sciences once chiral couplings can be engineered to control the storage, transduction, and manipulation of quantum information. This forward-looking Review provides a survey of the experimental and theoretical fundamentals of chiral-influenced quantum effects and presents a vision for their possible future roles in enabling room-temperature quantum technologies.ISSN:1936-0851ISSN:1936-086

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

The relationship between implicit person theory and transformational leadership

Transformational leadership has been one of the most heavily researched theories of leadership of the past 25 years, largely because this style has been associated with a wide range of positive individual- and organizational-level outcomes. Despite the need for transformational leaders, the antecedents of transformational leadership behavior remain ambiguous. Numerous potential antecedents of transformational leadership have been identified in the past, but this research has focused on popularly addressed or commonly measured variables rather than characteristics with a strong theoretical link to transformational leadership. The current study expands on past research by examining a theoretically driven predictor of transformational leadership behavior. Specifically, the current study will examine whether a leader\u27s implicit person theory (IPT) will be a predictor of leadership behaviors. This theory was chosen as a potential antecedent because it centers on the concept of malleability or change, and as such shares a strong intuitive connection with transformational leadership (which itself places a heavy emphasis on change and growth). Results did not support our hypotheses, however, as regression analysis revealed that IPT failed to account for significant variation in leadership behavior after accounting for some of the most commonly examined predictors in the literature, (the Big Five personality traits). Limitations of the current study and opportunities for future research are discussed

Protonated nickel 2-methylimidazole framework as an advanced electrode material for high-performance hybrid supercapacitor

© 2021 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Metal-organic frameworks (MOFs) with high conductivity have proven to be an exciting electrode material for energy storage devices. However, most of the MOFs exhibit a low electrical conductivity, which limits their use in supercapacitors. To overcome this issue herein, a simple acid treatment method was adopted to obtain nanoflower-like nickel 2-methylimidazole framework (Ni-MOF) to improve the electrical conductivity without disrupting its framework. The sample treated with a solution of sulfuric acid (H2SO4) at optimal pH 2 (Ni-MOF-2), exhibited improved surface texture with excellent electrochemical characteristics. The Ni-MOF-2 sample displayed a high specific capacity (Cs) of 467 C/g at 1 A/g in aqueous 6 M potassium hydroxide (KOH) electrolyte than that of other samples. This is mainly due to enhanced proton conduction in Ni-MOF-2 after acid treatment. In addition, a hybrid supercapacitor (HSC) device was fabricated using battery-type Ni-MOF-2 as a positive electrode and heteroatomenriched activated carbon (O, N, S@AC) as a negative electrode. The fabricated HSC exhibited a maximum specific capacity (Cs) of 38 mAh/g with high specific energy (Es) 39 Wh/kg and maximum specific power (Ps) of 11,079 W/kg. Moreover, the HSC displayed excellent cyclic stability of ~87% for 10,000 continuous galvanostatic charge/discharge (GCD) cycles.Peer ReviewedPostprint (author's final draft