Pandemic knowledge and regulation effectiveness: Evidence from COVID-19

The spread of COVID-19 led countries around the world to adopt lockdown measures of varying stringency, with the purpose of restricting the movement of people. However, the effectiveness of these measures on mobility has been markedly different. Employing a difference-in-differences design, we analyse the effectiveness of movement restrictions across different countries. We disentangle the role of regulation (stringency measures) from the role of people's knowledge about the spread of COVID-19. We proxy COVID-19 knowledge by using Google Trends data on the term “Covid”. We find that lockdown measures have a higher impact on mobility the more people learn about COVID-19. This finding is driven by countries with low levels of trust in institutions and low levels of education

MARINE AND NORMARINE TRACE FOSSILS AND PLANT ROOTS IN A REGRESSIONAL SETTING (PLEISTOCENE, ITALY)

The sedimentary structures occurring in one of the Pleistocene marine terraces at the Ionian coast, indicate a shoaling upward trend from the shoreface of a sandy beach to nonmarine conditions. Four main facies have been recognized. Facies A consists of hummocky cross-bedded sands representing a wave-dominated nearshore environment. Physical and biological structures of facies B are suggestive of an abrupt reduction in energy level, possibly related to the establishment of shallow protected environments. Features of facies C suggest a stable environment of upper shoreface but strongly influenced by continental supplies. Upward, this facies passes into sediments deposited in continental conditions. The last facies (D) is related to moist or wet terrestrial environments. Bioturbation levels of facies A to C are in general low. Facies D, however, is well bioturbated, having an ichnofabric dominated by Taenidium isp. Sparse, vertical roots of vascular plants extended in many cases to at least 3 m below the base of facies D. Particularly unusual is the close association of large Taenidium isp. and vertical roots, where the trace fossil is clustered tightly around the plant, in some cases to more than 1 m below the water-sediment interface

α-Elapitoxin-Aa2a, a long-chain snake α-neurotoxin with potent actions on muscle (α1)<inf>2</inf>βγδ nicotinic receptors, lacks the classical high affinity for neuronal α7 nicotinic receptors

In contrast to all classical long-chain α-neurotoxins possessing the critical fifth disulfide bond, α-elapitoxin-Aa2a (α-EPTX-Aa2a), a novel long-chain α-neurotoxin from the common death adder Acanthophis antarcticus, lacks affinity for neuronal α7-type nicotinic acetylcholine receptors (nAChRs) α-EPTX-Aa2a (8850 Da; 0.1-1 μM) caused a concentration-dependent inhibition of indirect twitches, and blocked contractures to cholinergic agonists in the isolated chick biventer cervicis nerve-muscle preparation, consistent with a postsynaptic curaremimetic mode of action. α-EPTX-Aa2a (1-10 nM) produced a potent pseudo-irreversible antagonism of chick muscle nAChRs, with an estimated pA2 value of 8.311 ± 0.031, which was not reversed by monovalent death adder antivenom. This is only 2.5-fold less potent than the prototypical long-chain α-neurotoxin, α-bungarotoxin. In contrast, α-EPTX-Aa2a produced complete, but weak, inhibition of 125I-α-bungarotoxin binding to rat hippocampal α7 nAChRs (pKI = 3.670), despite high sequence homology and similar mass to a wide range of long-chain α-neurotoxins. The mostly likely cause for the loss of α7 binding affinity is a leucine substitution, in loop II of α-EPTX-Aa2a, for the highly conserved Arg33 in long-chain α-neurotoxins. Arg 33 has been shown to be critical for both neuronal and muscle activity. Despite this substitution, α-EPTX-Aa2a retains high affinity for muscle (α1)2βγδ nAChRs. This is probably as a result of an Arg29 residue, previously shown to be critical for muscle (α1)2βγδ nAChR affinity, and highly conserved across all short-chain, but not long-chain, α-neurotoxins. α-EPTX-Aa2a therefore represents a novel atypical long-chain α-neurotoxin that includes a fifth disulfide but exhibits differential affinity for nAChR subtypes. Copyright © 2010 Published by Elsevier Inc. All rights reserved

A Human-centric AI-driven Framework for Exploring Large and Complex Datasets

Human-Centered Artificial Intelligence (HCAI) is a new frontier of research at the intersection between HCI and AI. It fosters an innovative vision of human-centred intelligent systems, which are systems that take advantage of computer features, such as powerful algorithms, big data management, advanced sensors and that are useful and usable for people, providing high levels of automation and enabling high levels of human control. This position paper presents our ongoing research aiming to extend the HCAI framework for better supporting designers in creating AI-based systems

Thirty Years and Counting: Do We Still Need the ICIS Women’s Breakfast?

This article discusses an important panel held at ICIS 2011 in Shanghai to mark over thirty years of an ICIS institution, the ICIS Women&rsquo;s Breakfast. The panel addressed the controversial question&mdash;is there still a need for the ICIS Women&rsquo;s Breakfast? Panelists were asked if the ICIS Women&rsquo;s Breakfast could be seen as divisive, and if, women&rsquo;s issues are different from issues of diversity such as race or sexual&nbsp; orientation. They were also asked why they thought women were still&nbsp; underrepresented in our academic community, and if the lack of women at senior levels was a concern for the community. Finally, the panelists were asked what practices the community would need to adopt to combat what could be seen as structural discrimination in our community, which we believe reflects the wider world we live in. We frame the debate and the ensuing discussion in the literature about women in academia, and conclude with some practical and constructive&nbsp; recommendations for the community as a whole

Germinal ovarian tumors in reproductive age women: Fertility-sparing and outcome

MOGCTs (malignant ovarian germ cell tumors) are rare tumors that mainly affect patients of reproductive age. The aim of this study was to evaluate the fertility and survival outcomes in young women with MOCGTs treated with fertility-sparing surgery (FSS).From 2000 to 2018, data from 28 patients of reproductive age with a diagnosis of MOGCT at the University of Bari were collected. Most received FSS, and in patients treated conservatively, the reproductive outcome and survival were investigated. Data of patient demographics, clinical presentation, oncology marker dosage, staging, type of surgery, histological examination, survival, and reproductive outcome were collected from hospital and office charts. All informed consent was obtained from all patients. The median age was 24 (range: 9-45 years). The majority of the patients had stage IIIC. Twenty-four woman received FSS consisting of unilateral ovariectomy and omentectomy, whereas only 4 women, based on their stage (IIIC), received a radical surgery (hysterectomy with bilateral adnexectomy, lymphadenectomy, and omentectomy). Our study shows that FSS in MOGCTs can produce good results both on reproductive outcomes and on survival. Indeed, in our group, there was only 1 case of exitus as result of recurrence. Furthermore, patients after FSS maintained normal ovarian function and 5 of 5 women who tried to get pregnant succeeded spontaneously. The median follow-up was 90 months (range 3-159).Conservative surgery for MOGCTs should be considered for women of reproductive age who wish to preserve fertility

Trmun (north-eastern Italy): Multi-scale remote and ground-based sensing of a Bronze Age and post-Roman fortification

We have used multi-scale remote sensing to investigate a little known archaeological site in northern Istria (north-eastern Italy). Airborne Laser Scanning (ALS) and archaeological field surveys have allowed us to identify the position and extension of a large Protohistoric hillfort. Its highest and best-preserved sector, corresponding to a modest elevation at the eastern margin of the settlement, has been further investigated through thermal imaging, high-resolution ALS, drone Structure from Motion (SfM) photogrammetry and 3D Ground Penetrating Radar (GPR), leading to a detailed identification of unexpected buried features. An excavation campaign conducted in 2022 has confirmed the remote and ground-based sensing results. This excavation has led to the discovery of a Bronze Age fortification, partially reused and modified with the construction of 2 or 3 square towers during the post-Roman period. Our results demonstrate that the combined analysis of multi-scale remote and ground-based sensing is crucial to planning archaeological exploration in the field. Digital methods provide high-resolution topography and detect buried features that assist in monitoring and managing cultural heritage

Geographic Variation in Influenza Vaccination Disparities Between Hispanic and Non-Hispanic White US Nursing Home Residents

BACKGROUND: Disparities in influenza vaccination exist between Hispanic and non-Hispanic White US nursing home (NH) residents, but the geographic areas with the largest disparities remain unknown. We examined how these racial/ethnic disparities differ across states and hospital referral regions (HRRs). METHODS: This retrospective cohort study included >14 million short-stay and long-stay US NH resident-seasons over 7 influenza seasons from October 1, 2011, to March 31, 2018, where residents could contribute to 1 or more seasons. Residents were aged ≥65 years and enrolled in Medicare fee-for-service. We used the Medicare Beneficiary Summary File to ascertain race/ethnicity and Minimum Data Set assessments for influenza vaccination. We calculated age- and sex-standardized percentage point (pp) differences in the proportions vaccinated between non-Hispanic White and Hispanic (any race) resident-seasons. Positive pp differences were considered disparities, where the proportion of non-Hispanic White residents vaccinated was greater than the proportion of Hispanic residents vaccinated. States and HRRs with ≥100 resident-seasons per age–sex stratum per racial/ethnic group were included in analyses. RESULTS: Among 7 442 241 short-stay resident-seasons (94.1% non-Hispanic White, 5.9% Hispanic), the median standardized disparities in influenza vaccination were 4.3 pp (minimum, maximum: 0.3, 19.2; n = 22 states) and 2.8 pp (minimum, maximum: −3.6, 10.3; n = 49 HRRs). Among 6 758 616 long-stay resident-seasons (93.7% non-Hispanic White, 6.5% Hispanic), the median standardized differences were −0.1 pp (minimum, maximum: −4.1, 11.4; n = 18 states) and −1.8 pp (minimum, maximum: −6.5, 7.6; n = 34 HRRs). CONCLUSIONS: Wide geographic variation in influenza vaccination disparities existed across US states and HRRs. Localized interventions targeted toward areas with high disparities may be a more effective strategy to promote health equity than one-size-fits-all national interventions

AI Researchers, Video Games Are Your Friends!

If you are an artificial intelligence researcher, you should look to video games as ideal testbeds for the work you do. If you are a video game developer, you should look to AI for the technology that makes completely new types of games possible. This chapter lays out the case for both of these propositions. It asks the question "what can video games do for AI", and discusses how in particular general video game playing is the ideal testbed for artificial general intelligence research. It then asks the question "what can AI do for video games", and lays out a vision for what video games might look like if we had significantly more advanced AI at our disposal. The chapter is based on my keynote at IJCCI 2015, and is written in an attempt to be accessible to a broad audience.Comment: in Studies in Computational Intelligence Studies in Computational Intelligence, Volume 669 2017. Springe