bluuebunny/crossref_metadata_2025 huggingface dataset:
‘Go away and make a big thing of yourself somewhere else’: precarious mobilities and the uses of international capital in Irish academia
Authors: Courtois Aline , O’Keefe Theresa
Published: February 2024

The article interrogates the ‘mobility imperative’ and its impact on precarious academics. Drawing on 40 biographic interviews with academics with experience of long-term precarity in Irish higher education, and using a Bourdieusian framework, we identify the specific conditions, uses and impacts of international mobility for these workers. This method offers a unique retrospective advantage for an analysis of the utility of international capital for a cohort of workers typically excluded from studies of international mobility. Among the specific obstacles we identify which are faced by precarious academics in the accumulation and conversion of international capital are the lack of or compromised initial social capital; the dubious value of international capital in Irish academia, especially when associated with precarity; and the difficulty for workers to construct acceptable career scripts when both precarity and mobility have led them off-script. We suggest that the ability to accumulate and convert usable forms of international capital while working abroad is in part predetermined by prior struggles in the national field.
About the Optimal FPE for Non-linear 1d-SDE with Gaussian Noise: The Pitfall of the Perturbative Approach
Authors: Bianucci Marco , Bologna Mauro , Mannella Riccardo
Published: February 2024

This paper deals with the problem of finding the Fokker Planck Equation (FPE) for the single-time probability density function (PDF) that optimally approximates the single-time PDF of a 1-D Stochastic Differential Equation (SDE) with Gaussian correlated noise. In this context, we tackle two main tasks. First, we consider the case of weak noise and in this framework we give a formal ground to the effective correction, introduced elsewhere (Bianucci and Mannella in J Phys Commun 4(10):105019, 2020, https://doi.org/10.1088/2399-6528/abc54e), to the Best Fokker Planck Equation (a standard “Born-Oppenheimer” result), also covering the more general cases of multiplicative SDE. Second, we consider the FPE obtained by using the Local Linearization Approach (LLA), and we show that a generalized cumulant approach allows an understanding of why the LLA FPE performs so well, even for noises with long (but finite) time scales and large intensities.
LeCaSiM: Learning Causal Structure via Inverse of M-Matrices with Adjustable Coefficients
Authors: Cai Qingsong , Zhang Yongchang
Published: February 2024

The objective of causal discovery is to uncover the causal relationships among natural phenomena or human behaviors, thus establishing the basis for subsequent prediction and inference. Traditional ways to reveal the causal structure between variables, such as interventions or random trials, are often deemed costly or impractical. With the diversity of means of data acquisition and abundant data, approaches that directly learn causal structure from observational data are attracting more interest in academia. Unfortunately, learning a directed acyclic graph (DAG) from samples of multiple variables has been proven to be a challenging problem. Recent proposals leverage the continuous optimization method to discover the structure of the target DAG from observational data using an acyclic constraint function. Although it has an elegant mathematical form, its optimization process is prone to numerical explosion or the disappearance of high-order gradients of constraint conditions, making the convergence conditions unstable and the result deviating from the true structure. To tackle these issues, we first combine the existing work to give a series of algebraic equivalent conditions for a DAG and its corresponding brief proofs, then leverage the properties of the M-matrix to derive a new acyclic constraint function. Based on the utilization of this function and linear structural equation models, we propose a novel causal discovery algorithm called LeCaSiM, which employs continuous optimization. Our algorithm exploits the spectral radius of the adjacency matrix to dynamically adjust the coefficients of the matrix polynomial, effectively solving the above problems. We conduct extensive experiments on both synthetic and real-world datasets, the results show our algorithm outperforms the existing algorithms on both computation time and accuracy under the same settings.
Large-Scale Clustering on 100 M-Scale Datasets Using a Single T4 GPU via Recall KNN and Subgraph Segmentation
Authors: Liu Junjie , Jiang Rongxin , Liu Xuesong , Zhou Fan , Chen Yaowu , Shen Chen
Published: February 2024

Despite the promising progress that has been made, large-scale clustering tasks still face various challenges: (i) high time and space complexity in K-nearest neighbors (KNN), which is often overlooked by most methods, and (ii) low recall rate caused by simply splitting the dataset. In this paper, we propose a novel framework for large-scale clustering tasks named large-scale clustering via recall KNN and subgraph segmentation (LS-RKSS) to perform faster clustering with guaranteed clustering performance, which embraces the ability of handling large-scale data up to 100 million using a single T4 GPU with less than 10% of the running time. We propose recall KNN (RKNN) and subgraph segmentation (SS) to effectively address the primary challenges in large-scale clustering tasks. Firstly, the recall KNN is proposed to perform efficient similarity search among dense vectors with lower time and space complexity compared to traditional exact search methods of KNN. Then, the subgraph segmentation is proposed to split the whole dataset into multiple subgraphs based on the recall KNN. Given the recall rate of RKNN based on traditional exact search methods, it is theoretically proved that dividing the dataset into multiple subgraphs using recall KNN and subgraph segmentation is a more reasonable and effective approach. Finally, clusters are generated independently on each subgraph, and the final clustering result is obtained by combining the results of all subgraphs. Extensive experiments demonstrate that LS-RKSS outperforms previous large-scale clustering methods in both effectiveness and efficiency.
Efficient parametric family of fourth-order Jacobian-free iterative vectorial schemes
Authors: Cordero Alicia , Rojas-Hiciano Renso V. , Torregrosa Juan R. , Triguero-Navarro Paula
Published: February 2024

In this work, a multiparametric family of iterative vectorial fourth-order methods free of Jacobian matrices is proposed. A convergence analysis of this family is carried out as well as a study of its efficiency. Several numerical experiments are made in order to compare the behaviour of the proposed family with other competitive methods of the literature.
Two Forms of Functional Reductionism in Physics
Authors: Lorenzetti Lorenzo
Published: February 2024

Functional reductionism characterises inter-theoretic reduction as the recovery of the upper-level behaviour described by the reduced theory in terms of the lower-level reducing theory. For instance, finding a statistical mechanical realiser that plays the functional role of thermodynamic entropy allows to establish a reductive link between thermodynamics and statistical mechanics. This view constitutes a unique approach to reduction that enjoys a number of positive features, but has received limited attention in the philosophy of science. This paper aims to clarify the meaning of functional reductionism in science, with a focus on physics, to define both its place with respect to other approaches to reduction and its connection to ontology. To do so, we develop and explore two alternative versions of functional reductionism, called Syntactic Functional Reductionism and Semantic Functional Reductionism, that expand and improve the basic functional reductionist approach along different lines, and make clear how the approach works in practice. The former elaborates on David Lewis’ account, is connected with the syntactic view of theories, employs a logical characterisation of functional roles, and is embedded within Nagelian reductionism. The latter adopts a semantic approach to theories, spells out functional roles mainly in terms of mathematical roles within the models, and is expressed in terms of the related structuralist approach to reduction. The development of these frameworks has the final goal of advancing functional reductionism, making it a fully developed account of reduction in science.
Perceptions/opinions about the formation of the bachelor program in exercise and sports science by students aimed at the new professional profile of the basic kinesiologist
Authors: Esposito Giovanni , Di Domenico Felice , Ceruso Rosario , Aliberti Sara , Raiola Gaetano
Published: February 2024

Purpose

In Italy, the training of sports workers was carried out through national sports federations (NSF), sports promotion bodies (SPB) and associated disciplines (AD) since there were no laws regarding specific professional figures on a par with other labor sectors. New and recent legislation stipulates that specific training is the responsibility of universities, with the 3-year bachelor's degree program in Exercise and Sports Science (L22) for the cultural and scientific profiling of the new professional figure of the basic kinesiologist. The study measures the perceptions and opinions that students have with respect to the training in their studies and also analyze any gaps in terms of knowledge and skills to be applied in the professional field.

Methods

A questionnaire was administered to 30 students consisting of 15 questions divided into three sections: Sect. 1 of sample identification, Sect. 2 assessing perceptions on knowledge acquired, and Sect. 3 assessing perceptions on skills learned. A chi-square (χ2) analysis was performed to check for significant differences.

Results

The results showed a difference of opinion. Although 84.2% of the sample thought highly of the training offered, discordant data emerged on the knowledge and skills taught within the courses of study. Although this high percentage is convinced and entrusts their training to the university pathway, it is found that 19% have qualifications issued by NSF, 4.8% by other and 1.6% by SPB. In addition there is significance P = .001 demonstrating liking with respect to the training received.

Conclusion

The basic kinesiologist is a key figure within sports organizations, and university training is also considered positive by those trained by NSF, SPB, and AD.
Voraussetzungen für und Bedeutung von unterschiedlichen Kooperationsformen als Quelle der Arbeitszufriedenheit und Mitarbeiterbindung von Lehrkräften
Authors: Besa Kris-Stephen , Gesang Johanna , Kruse Christoph , Rothland Martin
Published: February 2024

Damit erfolgreiche Lehrkräftekooperation stattfinden und ihr Potenzial entfalten kann, bedarf es zahlreicher schulischer Voraussetzungen, die das Schulleitungshandeln auf verschiedenen Ebenen betreffen. Diese Voraussetzungen und ihre Wirkungen sollen in Zusammenhang mit unterschiedlichen Kooperationsformen in diesem Beitrag überprüft werden. Die Studie greift dabei auf eine Stichprobe von 1052 Befragten an Hamburger Schulen zurück und untersucht, ob es unterschiedliche Voraussetzungen und Qualitäten der Kooperation mit Blick auf die Schulformen gibt und inwiefern unterschiedliche Kooperationsformen durch spezifisches Schulleitungshandeln beeinflusst werden. Neben durch Varianzanalysen ermittelten schulformspezifischen Unterschieden bei den Konstrukten verweist eine durchgeführte Regressionsanalyse insbesondere auf die Bedeutung der Schaffung geeigneter struktureller Voraussetzung für höherwertige Kooperationsmaßnahmen.
‘I Had No Choice’: Adult Neutralisation of Online Sexual Engagement with Children
Authors: Bradbury Paula , Bleakley Paul , Martellozzo Elena
Published: February 2024

This study explores sexual contact between adults and minors on live internet chat websites like Omegle using the five-point framework of neutralisation to better understand how this behaviour is justified and rationalised by adult participants in such acts. A thematic content analysis was performed based on a sample of 100 requests for advice posted by anonymous users on two open-source platforms from legal professionals. These requests were all from unidentifiable adults. The key themes identified were ‘denial and minimisation of responsibility’, ‘the motivated poster’, ‘awareness of behaviour’, ‘child sexual abuse (CSA)’, and ‘content moderation and censorship’. The results highlight several processes of blame-shifting and neutralisation that are commonly used by adults when describing incidences of sexual contact with minors on Omegle. It enhances our understanding of sexual interactions occurring on live chat platforms, including those that are harmful and illegal, and presents opportunities for proactive intervention and moderation.
Das unterschätzte biotechnologische Potenzial der Darmmikrobiota
Authors: Neff André , Lück Rebecca , Gindt Mélanie , Deppenmeier Uwe
Published: February 2024

The human gut microbiota harbors untapped potential for biotechnological applications. Within the phylum of Bacteroidota, Phocaeicola vulgatus stands out as a promising candidate for sustainable production of key platform chemicals like succinate. However, genetic engineering of Phocaeicola sp. remains challenging due to its intricate molecular landscape. This study lays the groundwork for manipulating the central carbon pathways in Phocaeicola vulgatus, offering insights into overcoming genetic hurdles for increased succinate yields.
Die unentdeckte Vielfalt der Comamonadaceae-Phagen in Kläranlagen
Authors: Barrero-Canosa Jimena , Cooper Myriel
Published: February 2024

Phages are important members of wastewater treatment plant communities. Surprisingly, little is known about phages and their impact on microbially-mediated processes in these facilities. We explore phages infecting the Comamonadaceae, a bacterial family consistently found in wastewater treatment plants. Our findings reveal limited genetic similarity between newly isolated phages and known ones, emphasizing underestimated diversity and understanding of their impact on wastewater treatment.
Besser und günstiger: Volumenreduktion in der Einzelzellgenomik
Authors: Sobol Morgan S. , Sturm Gunnar , Kaster Anne-Kristin
Published: February 2024

Single cell genomics (SCG) is a is a complementary method to metagenomics for exploring the genomes of uncultivated microorganisms. However, due to the minute amounts of DNA in the individual microbial cell, an amplification step is required before sequencing. Unfortunately, this reaction is notoriously costly and does not amplify all genomic regions equally well, preventing high-throughput applications and leading to incomplete and biased genomes. Here, we show a simple volume reduction approach to make SCG more feasible.
Shrub Age and Water Dynamics Influence Primary Production, Carbon, and Nitrogen Stocks in a Coastal Environment
Authors: Wood Lauren K. , Young Donald R. , Zinnert Julie C.
Published: February 2024

Drivers of shrub primary production and associated landscape impacts of encroachment are well known in drylands but have not been thoroughly studied in mesic and coastal habitats. The native, nitrogen-fixing shrub, Morella cerifera, has expanded into coastal grassland along the US Atlantic coast due to warming temperatures, but impacts on ecosystem function are not well known. Annual net primary production (ANPP) of Morella cerifera and key environmental drivers were measured long-term (1990 – 2007) across a chronosequence of shrub age on a mid-Atlantic barrier island. Soil and groundwater nutrients were compared with un-encroached grassland soil to evaluate impacts of vegetation on nutrient dynamics. Shrub ANPP declined with age at the same rate among all thickets, but there was variability from year to year. When climate variables were included in models, shrub age, precipitation, and freshwater table depth were consistent predictors of ANPP. Water table depth decreased over time, reducing ANPP. This may be due to rising sea-level, as well as to feedbacks with shrub age and evapotranspiration. Soil N and C increased with shrub age and were higher than adjacent grassland sites; however, there was a significant loss of N and C to groundwater. Our results demonstrate that drivers influencing the encroachment of shrubs in this coastal system (i.e., warming temperature) are not as important in predicting shrub primary production. Rather, interactions between shrub age and hydrological properties impact ANPP, contributing to coastal carbon storage.
Examining arterial pulsation to identify and risk-stratify heart failure subjects with deep neural network
Authors: Huang Chieh-Chun , Sung Shih-Hsien , Wang Wei-Ting , Su Yin-Yuan , Huang Chi-Jung , Chu Tzu-Yu , Chuang Shao-Yuan , Chiang Chern-En , Chen Chen-Huan , Lin Chen-Ching , Cheng Hao-Min
Published: February 2024

Hemodynamic parameters derived from pulse wave analysis have been shown to predict long-term outcomes in patients with heart failure (HF). Here we aimed to develop a deep-learning based algorithm that incorporates pressure waveforms for the identification and risk stratification of patients with HF. The first study, with a case–control study design to address data imbalance issue, included 431 subjects with HF exhibiting typical symptoms and 1545 control participants with no history of HF (non-HF). Carotid pressure waveforms were obtained from all the participants using applanation tonometry. The HF score, representing the probability of HF, was derived from a one-dimensional deep neural network (DNN) model trained with characteristics of the normalized carotid pressure waveform. In the second study of HF patients, we constructed a Cox regression model with 83 candidate clinical variables along with the HF score to predict the risk of all-cause mortality along with rehospitalization. To identify subjects using the HF score, the sensitivity, specificity, accuracy, F1 score, and area under receiver operating characteristic curve were 0.867, 0.851, 0.874, 0.878, and 0.93, respectively, from the hold-out cross-validation of the DNN, which was better than other machine learning models, including logistic regression, support vector machine, and random forest. With a median follow-up of 5.8 years, the multivariable Cox model using the HF score and other clinical variables outperformed the other HF risk prediction models with concordance index of 0.71, in which only the HF score and five clinical variables were independent significant predictors (p < 0.05), including age, history of percutaneous coronary intervention, concentration of sodium in the emergency room, N-terminal pro-brain natriuretic peptide, and hemoglobin. Our study demonstrated the diagnostic and prognostic utility of arterial waveforms in subjects with HF using a DNN model. Pulse wave contains valuable information that can benefit the clinical care of patients with HF.
Effect of land-use intensity and adjacent semi-natural habitats on wild and honey bees of meadows
Authors: Schlager Martin , Neumayer Johann , Petermann Jana S. , Dötterl Stefan
Published: February 2024

Most terrestrial ecosystems are shaped by the pollination service provided by insects, foremost bees. As bees are also important pollinators of crop plants, they are key for both the pollination of wild plants and for agricultural production. Meadows and semi-natural habitats (SNHs) are important habitats for bees. However, there is limited knowledge on how land-use intensity of meadows affects wild bees and managed Western honey bees. Further, it is unknown whether SNHs adjacent to meadows affect bees in meadows. Here, we examined in a landscape dominated by grasslands, the effects of land-use intensity (nitrogen input, grazing intensity, mowing frequency), flower availability and adjacent SNHs on bee communities in meadows. We recorded more than 5000 individuals of 87 species of bees and found no effect of land-use intensity on wild and honey bees. Flowering plant species richness had a positive effect on bee species richness in one study year. Though we recorded more bee species in SNHs than meadows, overall and specifically in ecologically specialized bee species (e.g. parasitic bees, oligoleges), the availability of adjacent SNHs did not affect bee abundance and richness in meadows. We discuss why land-use intensity and SNHs adjacent to meadows did not affect bees in meadows and conclude that SNHs are important in sustaining functionally diverse bee communities in landscapes dominated by grasslands.
All-Covalent Organic Framework Nanofilms Assembled Lithium-Ion Capacitor to Solve the Imbalanced Charge Storage Kinetics
Authors: Xu Xiaoyang , Zhang Jia , Zhang Zihao , Lu Guandan , Cao Wei , Wang Ning , Xia Yunmeng , Feng Qingliang , Qiao Shanlin
Published: February 2024

Free-standing covalent organic framework (COFs) nanofilms exhibit a remarkable ability to rapidly intercalate/de-intercalate Li+ in lithium-ion batteries, while simultaneously exposing affluent active sites in supercapacitors. The development of these nanofilms offers a promising solution to address the persistent challenge of imbalanced charge storage kinetics between battery-type anode and capacitor-type cathode in lithium-ion capacitors (LICs). Herein, for the first time, custom-made COFBTMB-TP and COFTAPB-BPY nanofilms are synthesized as the anode and cathode, respectively, for an all-COF nanofilm-structured LIC. The COFBTMB-TP nanofilm with strong electronegative–CF3 groups enables tuning the partial electron cloud density for Li+ migration to ensure the rapid anode kinetic process. The thickness-regulated cathodic COFTAPB-BPY nanofilm can fit the anodic COF nanofilm in the capacity. Due to the aligned 1D channel, 2D aromatic skeleton and accessible active sites of COF nanofilms, the whole COFTAPB-BPY//COFBTMB-TP LIC demonstrates a high energy density of 318 mWh cm−3 at a high-power density of 6 W cm−3, excellent rate capability, good cycle stability with the capacity retention rate of 77% after 5000-cycle. The COFTAPB-BPY//COFBTMB-TP LIC represents a new benchmark for currently reported film-type LICs and even film-type supercapacitors. After being comprehensively explored via ex situ XPS, 7Li solid-state NMR analyses, and DFT calculation, it is found that the COFBTMB-TP nanofilm facilitates the reversible conversion of semi-ionic to ionic C–F bonds during lithium storage. COFBTMB-TP exhibits a strong interaction with Li+ due to the C–F, C=O, and C–N bonds, facilitating Li+ desolation and absorption from the electrolyte. This work addresses the challenge of imbalanced charge storage kinetics and capacity between the anode and cathode and also pave the way for future miniaturized and wearable LIC devices.
Highly Aligned Graphene Aerogels for Multifunctional Composites
Authors: Wu Ying , An Chao , Guo Yaru , Zong Yangyang , Jiang Naisheng , Zheng Qingbin , Yu Zhong-Zhen
Published: February 2024

Stemming from the unique in-plane honeycomb lattice structure and the sp2 hybridized carbon atoms bonded by exceptionally strong carbon–carbon bonds, graphene exhibits remarkable anisotropic electrical, mechanical, and thermal properties. To maximize the utilization of graphene's in-plane properties, pre-constructed and aligned structures, such as oriented aerogels, films, and fibers, have been designed. The unique combination of aligned structure, high surface area, excellent electrical conductivity, mechanical stability, thermal conductivity, and porous nature of highly aligned graphene aerogels allows for tailored and enhanced performance in specific directions, enabling advancements in diverse fields. This review provides a comprehensive overview of recent advances in highly aligned graphene aerogels and their composites. It highlights the fabrication methods of aligned graphene aerogels and the optimization of alignment which can be estimated both qualitatively and quantitatively. The oriented scaffolds endow graphene aerogels and their composites with anisotropic properties, showing enhanced electrical, mechanical, and thermal properties along the alignment at the sacrifice of the perpendicular direction. This review showcases remarkable properties and applications of aligned graphene aerogels and their composites, such as their suitability for electronics, environmental applications, thermal management, and energy storage. Challenges and potential opportunities are proposed to offer new insights into prospects of this material.
Using Decision Trees for Interpretable Supervised Clustering
Authors: Kokash Natallia , Makhnist Leonid
Published: February 2024

In this paper, we address an issue of finding explainable clusters of class-uniform data in labeled datasets. The issue falls into the domain of interpretable supervised clustering. Unlike traditional clustering, supervised clustering aims at forming clusters of labeled data with high probability densities. We are particularly interested in finding clusters of data of a given class and describing the clusters with the set of comprehensive rules. We propose an iterative method to extract high-density clusters with the help of decision-tree-based classifiers as the most intuitive learning method, and discuss the method of node selection to maximize quality of identified groups.
Examining the short and long-term impacts of child sexual abuse: a review study
Authors: Ali Sana , Pasha Saadia Anwar , Cox Ann , Youssef Enaam
Published: February 2024

Child sexual abuse is a growing problem, representing an egregious abuse of power, trust, and authority with far-reaching implications for the victims. This review study highlights the intricate psychological impacts of child sexual abuse, addressing both short and long-term consequences. Existing literature highlights the deep impacts on the victims’ psychological health and well-being, necessitating an in-depth examination of the subject. Drawing from a sample of n = 19 research articles selected through stringent inclusion and exclusion criteria and the PRISMA approach, this study synthesizes results from publications spanning 2010 to 2022. The review reveals various detrimental impacts on the victims’ psychological well-being, including short-term consequences, i.e., isolation, bullying, stress, anxiety, and post-traumatic stress disorder (PTSD). Long-term effects encompass PTSD in later life, disrupted intimate relationships, social and emotional health concerns, revictimization, and more. In conclusion, the study emphasizes the lack of a definitive number of impacts, highlighting the need to discuss and raise awareness about child sexual abuse. This increased awareness is important for parents, guardians, and responsible authorities to effectively counteract these crimes against children. Also, providing emotional support to victims is important to mitigate the long-term impacts. The researchers offer implications and discuss limitations, providing an extensive overview and foundation for future research and interventions.
How to design an AI ethics board
Authors: Schuett Jonas , Reuel Ann-Katrin , Carlier Alexis
Published: February 2024

The development and deployment of artificial intelligence (AI) systems poses significant risks to society. To reduce these risks to an acceptable level, AI companies need an effective risk management process and sound risk governance. In this paper, we explore a particular way in which AI companies can improve their risk governance: by setting up an AI ethics board. We identify five key design choices: (1) What responsibilities should the board have? (2) What should its legal structure be? (3) Who should sit on the board? (4) How should it make decisions? (5) And what resources does it need? We break each of these questions down into more specific sub-questions, list options, and discuss how different design choices affect the board’s ability to reduce societal risks from AI. Several failures have shown that designing an AI ethics board can be challenging. This paper provides a toolbox that can help AI companies to overcome these challenges.
Classical Antiquity and the Cinematic Imagination
Authors: Winkler Martin M.
Published: February 2024

This book aims to enhance our appreciation of the modernity of the classical cultures and, conversely, of cinema's debt to ancient Greece and Rome. It explores filmic perspectives on the ancient verbal and visual arts and applies what is often referred to as pre-cinema and what Sergei Eisenstein called cinematism: that paintings, statues, and literature anticipate modern visual technologies. The motion of bodies depicted in static arts and the vividness of epic ecphrases point to modern features of storytelling, while Plato's Cave Allegory and Zeno's Arrow Paradox have been related to film exhibition and projection since the early days of cinema. The book additionally demonstrates the extensive influence of antiquity on an age dominated by moving-image media, as with stagings of Odysseus' arrow shot through twelve axes or depictions of the Golden Fleece. Chapters interpret numerous European and American silent and sound films and some television productions and digital videos.
The Merge Hypothesis
Authors: Hornstein Norbert
Published: February 2024

The Merge Hypothesis is the central empirical theoretical contribution of the Minimalist Program (MP) to syntactic theory. This book offers an accessible overview of the MP, debunking common sixty years of Generative research, culminating in GB theory. He introduces The Fundamental Principle of Grammar, which advocates including labels as part of the Merge Operation and centring the notion of the constituent as the key domain of syntactic commerce. The early chapters identify the goals of the MP, how they arose from earlier descriptive and explanatory successes of the mentalist tradition within Generative Grammar, and how to develop them in future work to expand its descriptive and explanatory range. It is essential reading for anyone interested in contemporary syntactic theory.
Is industrial policy back in fashion? Text-as-data evidence from UK policy documents
Authors: Popa Mircea
Published: February 2024

This article evaluates the claim that industrial policy is seeing a revival in developed economies, using text-as-data evidence from UK government policy papers. Structural topic modeling shows that content which can be related to industrial policy has indeed seen a large increase in prevalence over the past decade compared to the baseline of the post-1980 liberal era. Moreover, such content is shown to be increasingly central to post-2010 economic policy based on its position in the network of topics, on the number of downloads of documents associated with it, and on inclusion in important papers. An automated text summarization algorithm is used to extract the fragments which are most representative for these developments, and these are shown to closely match common definitions of industrial policy. A sentiment analysis algorithm is then used to extract the motivations given for policy proposals in representative documents, and indicates that declining economic competitiveness is a central concern.
Informational lobbying, information asymmetry, and the adoption of the ride-hailing model policy in the U.S. States
Authors: Wen Yuni
Published: February 2024

Existing research on lobbying has predominantly focused on its material returns, such as equity returns, stock prices, and government contracts while overlooking its informational impact. This paper addresses this gap by investigating to what extent and under what conditions policymakers assimilate information delivered through corporate lobbying. Drawing on an informational perspective, it proposes that the informational effect of lobbying is moderated by the information asymmetry between policymakers and firms. Focusing on the U.S. ride-hailing industry, this study utilizes a unique dataset on U.S. state legislatures’ adoption of the model policy lobbied by ride-hailing companies. The results reveal that the informational impact of corporate lobbying is highly contingent upon the presence of information asymmetry between policymakers and firms, which can be attributed to policymakers’ resources for independent information gathering, information deliberation through public hearings or media discussions, and countervailing lobbying efforts.
Turning expletive: From embedded speech-acts to embedded propositions
Authors: Tahar Chloé , Mari Alda
Published: February 2024

This article focuses on a non-canonical use of negation in historical and modern French, characterized by an apparent absence of meaning: expletive negation. In search of the lost meaning of expletive negation, via a diachronic investigation from Latin to French, we establish that expletive negation originates from prohibitive negation. We put forward an analysis of prohibitive negation within Krifka (2014)'s model of embedded speech-act and propose that expletive negation is the continuation of prohibitive negation, and that it is what remains of a long-gone embedded negative imperative in French. Along this line of analysis, the article brings historical evidence in favour of the hypothesis that languages can develop from speech-act embedding to proposition embedding. Our analysis of prohibitive negation as a clause-typing negation marker in Latin and as a verbal mood negation marker brings new evidence to the claim that sentential and verbal mood marking are two intimately related phenomena.
Tools of Different Trades? Merging Skill Sets in Metalworking at Viking Age Kaupang
Authors: McGraw Jessica Leigh , Mjærum Axel
Published: February 2024

In Old Norse poetic literature, the smiðr was a master of the arts, able to control and shape multiple materials into various kinds of objects. While the mythological smiðr has been regarded as separate from the real-world blacksmiths and metalworkers of gold, silver, and copper alloys, the archaeological evidence recovered in towns and workshops of the Viking Age, as well as medieval written sources, provide a different perspective. In 2015, a hitherto unknown, well-preserved workshop was excavated in the Viking town of Kaupang in Norway, containing evidence of complex metalworking requiring the skills of blacksmiths and workers of soft metals. In this article, the authors venture beyond the Old Norse myths, into the world of the proficient smiths as multi-crafters and their tools of the trade.
Hunter–gatherer genetics research: Importance and avenues
Authors: Padilla-Iglesias Cecilia , Derkx Inez
Published: February 2024

Major developments in the field of genetics in the past few decades have revolutionised notions of what it means to be human. Although currently only a few populations around the world practise a hunting and gathering lifestyle, this mode of subsistence has characterised members of our species since its very origins and allowed us to migrate across the planet. Therefore, the geographical distribution of hunter–gatherer populations, dependence on local ecosystems and connections to past populations and neighbouring groups have provided unique insights into our evolutionary origins. However, given the vulnerable status of hunter–gatherers worldwide, the development of the field of anthropological genetics requires that we reevaluate how we conduct research with these communities. Here, we review how the inclusion of hunter–gatherer populations in genetics studies has advanced our understanding of human origins, ancient population migrations and interactions as well as phenotypic adaptations and adaptability to different environments, and the important scientific and medical applications of these advancements. At the same time, we highlight the necessity to address yet unresolved questions and identify areas in which the field may benefit from improvements.
The Dynamics of Proportionality: Constitutional Courts and the Review of COVID-19 Regulations.
Authors: Vyhnánek Ladislav , Blechová Anna , Bátrla Michael , Míšek Jakub , Novotná Tereza , Reichman Amnon , Harašta Jakub
Published: February 2024

The COVID-19 pandemic has made it clear that even when using trusted legal tools, courts may run into challenging problems. Governments reacted to an unprecedented (at least in the context of post-WW2 era of fundamental rights) global crisis by adopting measures that drastically limited fundamental rights in order to protect the lives and health of many. Courts, of course, were entrusted with protecting fundamental rights against governmental overreach. The question was, how strict should the courts be when reviewing governmental acts. On the one hand, they could have relied on substantive proportionality assessment. This option, however was virtually ignored and most courts have opted for a deferential approach. This article analyzes both of these approaches, their strengths and weaknesses, but ultimately it argues that a third option - semiprocedural review - is the best way out of this judicial conundrum. Relying on comparative as well as theoretical arguments, it argues that semiprocedural review is the best way to deal with challenging empirical question - even under conditions of epistemological uncertainty.
Cost-effectiveness of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) testing and isolation strategies in nursing homes
Authors: Bartsch Sarah M. , Weatherwax Colleen , Martinez Marie F. , Chin Kevin L. , Wasserman Michael R. , Singh Raveena D. , Heneghan Jessie L. , Gussin Gabrielle M. , Scannell Sheryl A. , White Cameron , Leff Bruce , Huang Susan S. , Lee Bruce Y.
Published: February 2024

Objective:

Nursing home residents may be particularly vulnerable to coronavirus disease 2019 (COVID-19). Therefore, a question is when and how often nursing homes should test staff for COVID-19 and how this may change as severe acute respiratory coronavirus virus 2 (SARS-CoV-2) evolves.

Design:

We developed an agent-based model representing a typical nursing home, COVID-19 spread, and its health and economic outcomes to determine the clinical and economic value of various screening and isolation strategies and how it may change under various circumstances.

Results:

Under winter 2023–2024 SARS-CoV-2 omicron variant conditions, symptom-based antigen testing averted 4.5 COVID-19 cases compared to no testing, saving $191 in direct medical costs. Testing implementation costs far outweighed these savings, resulting in net costs of $990 from the Centers for Medicare & Medicaid Services perspective, $1,545 from the third-party payer perspective, and $57,155 from the societal perspective. Testing did not return sufficient positive health effects to make it cost-effective [$50,000 per quality-adjusted life-year (QALY) threshold], but it exceeded this threshold in ≥59% of simulation trials. Testing remained cost-ineffective when routinely testing staff and varying face mask compliance, vaccine efficacy, and booster coverage. However, all antigen testing strategies became cost-effective (≤$31,906 per QALY) or cost saving (saving ≤$18,372) when the severe outcome risk was ≥3 times higher than that of current omicron variants.

Conclusions:

SARS-CoV-2 testing costs outweighed benefits under winter 2023–2024 conditions; however, testing became cost-effective with increasingly severe clinical outcomes. Cost-effectiveness can change as the epidemic evolves because it depends on clinical severity and other intervention use. Thus, nursing home administrators and policy makers should monitor and evaluate viral virulence and other interventions over time.
Rearing and 60Co radiation do not affect attractiveness but alter the volatile profiles released by Anastrepha obliqua calling males
Authors: Santiago Frida P. , Alavez-Rosas David , Rojas Julio C.
Published: February 2024

Calling males of Anastrepha obliqua release volatile compounds to attract conspecific males to form leks and females to mate. Male volatiles from Mexican and Brazilian populations of A. obliqua have been previously identified. However, there are differences in the number and identity of volatile compounds between the populations. These differences in volatile profiles may be due to male origin (e.g. wild or mass-reared flies) or methodological issues (e.g. sampling techniques). In this study, we evaluated the attractiveness of wild, laboratory non-irradiated, and laboratory-irradiated flies under semi-field conditions. Male volatiles were collected using dynamic headspace sampling (DHS) and solid-phase microextraction (SPME) techniques, and identified using gas chromatography-coupled mass spectrometry. The results showed no difference in the attractiveness of wild, laboratory non-irradiated, and irradiated males to females. However, the number of captured females differed according to the origin; wild and non-irradiated females were captured more frequently than the irradiated flies. A total of 21 compounds were found using SPME, whereas only 12 were collected using DHS, although the relative amounts of these compounds were higher than those obtained using the former sampling technique. In addition, only laboratory non-irradiated males released α-pinene and menthol, which have not been previously reported in this fruit fly species. Additionally, we identified novel compounds in A. obliqua; however, certain compounds previously reported were not detected. This study suggests that despite the qualitative and quantitative variations in the volatile profiles of A. obliqua males, their attractiveness was unaffected.
OMNIA TVTA TIMENS (VIRGIL, AENEID 4.298): ALLUSION AND AMBIGUITY
Authors: Dainotti Paolo
Published: February 2024

This paper deals with a case of Virgilian ambiguity, namely the famous hemistich at Aen. 4.298 omnia tuta timens. By highlighting a plausible reading with a causal force (‘fearing everything too calm’, ‘because of the excessive calmness’), it seeks to demonstrate that this hemistich is an ambiguous passage. This view is confirmed through the imitation by Valerius Flaccus, who, in alluding to the Virgilian passage (Argonautica 8.408–12), highlights its ambiguity by including both of the most plausible readings.
The fertility timing gap: the intended and real timing of childbirth
Authors: Slabá Jitka , Kocourková Jiřina , Šťastná Anna
Published: February 2024

The fertility gap, which indicates the difference between the planned and actual number of children born, can be explained by the shift in parenthood to older ages and is associated with the non-attainment of one’s intended reproductive plans. This paper focuses on the gap in the timing of entry into parenthood, i.e. between the planned and actual age at the birth of the first child. The study is based on data from the Women 2016 survey which re-interviewed women of fertile age from the second wave of the Czech Generations & Gender Survey conducted in 2008. At the population level, the fertility timing gap differs across generations. While for Czech women born between 1966 and 1971 the planned age exceeded the actual observed age by one year, the realisation of fertility occurred two years later than planned for the youngest generation (1983–1990) included in the study. At the individual level, the later-than-planned realisation of fertility was found to be related primarily to partner-related factors.
Axé as the cornerstone of Candomblé philosophy and its significance for an understanding of well-being (bem estar)
Authors: Schmidt Bettina E.
Published: February 2024

According to Candomblé, axé is present in every living being and is necessary to life. To develop and maintain a sense of well-being, one must maintain a balanced level of axé which is linked to a reciprocal relationship between human beings and orixás (African deities). This article will explore the link between the spiritual force axé and well-being (bem estar) within Candomblé philosophy. Starting with explaining axé within the context of Candomblé and its concept of personhood, the article will reflect in the latter part on the concept of well-being from the perspective of axé and put forward an argument for the inclusion of Candomblé in philosophy of religion.
Conducting a health technology assessment in the West Bank, occupied Palestinian territory: lessons from a feasibility project
Authors: Isbeih Mervett , Heupink Lieke-Fleur , Qaddomi Sharif , Salman Rand , Chola Lumbwe
Published: February 2024

Objectives

To achieve universal health coverage (UHC), countries must make difficult choices to optimize the use of scarce resources. There is a growing interest in using evidence-based priority setting processes, such as Health Technology Assessment (HTA), to inform these decisions. In 2020, the Palestinian Institute of Public Health (PNIPH) and the Norwegian Institute of Public Health (NIPH) initiated a pilot to test the feasibility of coproducing an HTA on breast cancer screening in the West Bank, occupied Palestinian Territory. Additionally, a secondary aim was to test whether using an adaptive HTA (aHTA) approach that searched and transferred published evidence syntheses could increase the speed of HTA production.

Methods

The applied stepwise approach to the HTA is described in detail and can be summarized as defining a core team, topic selection, and prioritization; undertaking the HTA including adaptation using tools from the European Network for HTA (EUnetHTA) and stakeholder engagement; and concluding with dissemination.

Results

The aHTA approach was faster but not as quick as anticipated, which is attributed to (i) the lack of availability of local evidence for contextualizing findings and (ii) the necessity to build trust between the team and stakeholders. Some delays followed from the COVID-19 pandemic, which showed the importance of good risk anticipation and mitigation. Lastly, other important lessons included the ability of virtual collaborations, the value of capacity strengthening initiatives within low- and middle-income countries (LMICs), and the need for early stakeholder engagement. Overall, the pilot was successfully completed.

Conclusion

This was the first HTA of its kind produced in Palestine, and despite the challenges, it shows that HTA analysis is feasible in this setting.
Institutional memory and legal conflict in the Old Borough of Durham, 1300–1450
Authors: Brown A. T. , Cox Bridget
Published: February 2024

Historians have long used the archives of major institutions to shed light on medieval society, but in more recent decades the focus has turned towards the proliferation of legal documentation possessed by those lower down the social order and the increasing penetration of legal processes into their everyday lives. Yet, in recapturing this world, there is a danger that we take for granted the immense documentary power of a large institutional repository. This article follows several legal conflicts across the fourteenth and early fifteenth centuries involving the monks of Durham Priory to demonstrate the extent of this archival culture, showing how they turned to their vast array of documentary evidence for information about those who had incurred their wrath. Using their archives, they traced the descent of holdings, the offices held by key individuals, and previous payments in account rolls, all in a bid to demonstrate their rights, the ‘abuses’ of officials, and to counter legal opposition. Not content, the monks then compiled this evidence into an alternative narrative of events that questioned previous legal proceedings and ceremonies, constructing an institutional memory that saw contradictory documentation as ‘entirely most falsely forged’.