bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative effectiveness of contact tracing interventions in the context of the COVID-19 pandemic: a systematic review
Authors: Pozo-Martin Francisco , Beltran Sanchez Miguel Angel , Müller Sophie Alice , Diaconu Viorela , Weil Kilian , El Bcheraoui Charbel
Published: February 2023

Contact tracing is a non-pharmaceutical intervention (NPI) widely used in the control of the COVID-19 pandemic. Its effectiveness may depend on a number of factors including the proportion of contacts traced, delays in tracing, the mode of contact tracing (e.g. forward, backward or bidirectional contact training), the types of contacts who are traced (e.g. contacts of index cases or contacts of contacts of index cases), or the setting where contacts are traced (e.g. the household or the workplace). We performed a systematic review of the evidence regarding the comparative effectiveness of contact tracing interventions. 78 studies were included in the review, 12 observational (ten ecological studies, one retrospective cohort study and one pre-post study with two patient cohorts) and 66 mathematical modelling studies. Based on the results from six of the 12 observational studies, contact tracing can be effective at controlling COVID-19. Two high quality ecological studies showed the incremental effectiveness of adding digital contact tracing to manual contact tracing. One ecological study of intermediate quality showed that increases in contact tracing were associated with a drop in COVID-19 mortality, and a pre-post study of acceptable quality showed that prompt contact tracing of contacts of COVID-19 case clusters / symptomatic individuals led to a reduction in the reproduction number R. Within the seven observational studies exploring the effectiveness of contact tracing in the context of the implementation of other non-pharmaceutical interventions, contact tracing was found to have an effect on COVID-19 epidemic control in two studies and not in the remaining five studies. However, a limitation in many of these studies is the lack of description of the extent of implementation of contact tracing interventions. Based on the results from the mathematical modelling studies, we identified the following highly effective policies: (1) manual contact tracing with high tracing coverage and either medium-term immunity, highly efficacious isolation/quarantine and/ or physical distancing (2) hybrid manual and digital contact tracing with high app adoption with highly effective isolation/ quarantine and social distancing, (3) secondary contact tracing, (4) eliminating contact tracing delays, (5) bidirectional contact tracing, (6) contact tracing with high coverage in reopening educational institutions. We also highlighted the role of social distancing to enhance the effectiveness of some of these interventions in the context of 2020 lockdown reopening. While limited, the evidence from observational studies shows a role for manual and digital contact tracing in controlling the COVID-19 epidemic. More empirical studies accounting for the extent of contact tracing implementation are required.
Practicing security: securitisation of transboundary rivers by hydrocrats in Himalayan South Asia
Authors: Vasani Harsh
Published: February 2023

This paper examines the intersection of regional geopolitics and the governance of transboundary rivers using the case studies of multipurpose reservoirs in Himalayan South Asia. It uncovers the various ways Indian hydrocracy uses its institutional and technical expertise to strengthen India’s centrality in Nepal’s water and hydropower sectors. The practices of security undertaken by the hydrocrats are classified as structural, institutional, and statutory acts. By focusing on practices of an epistemic community like hydrocrats, this paper addresses longstanding weaknesses of the securitisation theory of being elitist and ignoring the agency of mid-level bureaucrats. It also highlights the constructivist nature of international politics. The findings contribute empirically to securitisation theory’s ‘Paris School’ of thought.
Dimensional comparisons in the formation of faculty members’ research and teaching self-concepts?
Authors: Wolff Fabian , Dresel Markus , Daumiller Martin
Published: February 2023

Dimensional comparisons—i.e., comparisons between achievements in different domains—have to date been examined particularly between students’ achievements in different school subjects. Numerous studies have documented that dimensional comparisons between mathematical and verbal achievements significantly affect students’ mathematical and verbal self-concepts. However, dimensional comparisons also take place and affect self-evaluations in other contexts. The present study is the first to examine indications of dimensional comparisons between faculty members’ research and teaching achievements. For this purpose, we extended the reciprocal I/E model, which describes the relations between mathematical and verbal achievements and self-concepts over time, to the domains of research and teaching. We examined our generalized reciprocal I/E model in a sample of 681 faculty members from German universities by considering their research and teaching achievements and self-concepts at four measurement points over two years. Results of cross-lagged analyses indicated positive dimensional comparison effects: The participating faculty members reported higher (lower) research and teaching self-concepts after high (low) achievement not only in the same domain, but also in the other domain. This core finding has important implications for our knowledge of the impact of dimensional comparisons in the formation of domain-specific self-concepts, as well as for the debate about the research–teaching nexus, as it suggests a strong link between research and teaching in terms of self-assessments.
Cross-Cultural Psychometric Analysis of the Mature Happiness Scale-Revised: Mature Happiness, Psychological Inflexibility, and the PERMA Model
Authors: Carreno David F. , Eisenbeck Nikolett , Greville James , Wong Paul T. P.
Published: February 2023

The present study aimed to evaluate the psychometric properties of the Mature Happiness Scale, a measure focused on inner harmony. Mature happiness is achieved when a person can live in balance between both positive and negative aspects of their life. A total sample of 2,130 participants from five countries (Canada: n = 390, United States: n = 223, United Kingdom: n = 512, Spain: n = 724, and Hungary: n = 281) responded to an online survey including the original Mature Happiness Scale, the PERMA-Profiler, and the Acceptance and Action Questionnaire-II. Exploratory and confirmatory factor analyses yielded a one-factor solution with seven positive items (non-reversed). We called this new version of the questionnaire the Mature Happiness Scale-Revised (MHS-R). Measurement invariance was found across countries, age groups, gender, and mental disorder diagnosis. Internal consistency and test–retest reliability were high. Older people, males, and people without a mental disorder diagnosis scored higher in mature happiness than younger ones, females, and those with a mental health disorder diagnosis, respectively. Mature happiness showed strong positive associations with various subscales of the PERMA-Profiler, specifically with positive emotions and meaning in life. In addition, mature happiness was strongly correlated with less negative affect and inner conflict and lower psychological inflexibility, whereas it was moderately correlated with lower loneliness. This validity evidence supports the cross-cultural use of the MHS-R in the aforementioned countries to reliably measure happiness among adults. With its holistic approach, the MHS-R may be a unique complement to other well-being measures, particularly to better predict mental health problems.
Smile Back at Me, But Only Once: Social Norms of Appropriate Nonverbal Intensity and Reciprocity Apply to Emoji Use
Authors: Stein Jan-Philipp
Published: February 2023

In computer-mediated communication, small graphical icons (emojis) can be used to compensate for the lack of nonverbal cues such as facial expressions or hand gestures. Accordingly, literature suggests that the use of emojis may also be subject to social norms—similar to nonverbal behavior in face-to-face interactions. However, actual empirical investigations into this assumption remain lacking. To remedy this research gap, I explored whether traditional norms of appropriate emotional intensity and reciprocity also apply to emoji usage. A first online experiment (N = 188) revealed that excessive emoji use in a first-contact scenario leads to diminished interpersonal outcomes, corresponding to the drawbacks of overly intense nonverbal displays in natural interactions. Proceeding to a different communicative stage, Experiment 2 (N = 242) explored nonverbal reciprocity with acquainted interaction partners. Inviting participants to reply to fictitious text messages (at varying levels of interpersonal intimacy), it was observed that stimulus messages containing more emojis also evoke stronger emoji use in return—indicating that principles of nonverbal attunement are in full effect during text-based online interactions.
Unsupervised discretization by two-dimensional MDL-based histogram
Authors: Yang Lincen , Baratchi Mitra , van Leeuwen Matthijs
Published: February 2023

Unsupervised discretization is a crucial step in many knowledge discovery tasks. The state-of-the-art method for one-dimensional data infers locally adaptive histograms using the minimum description length (MDL) principle, but the multi-dimensional case is far less studied: current methods consider the dimensions one at a time (if not independently), which result in discretizations based on rectangular cells of adaptive size. Unfortunately, this approach is unable to adequately characterize dependencies among dimensions and/or results in discretizations consisting of more cells (or bins) than is desirable. To address this problem, we propose an expressive model class that allows for far more flexible partitions of two-dimensional data. We extend the state of the art for the one-dimensional case to obtain a model selection problem based on the normalized maximum likelihood, a form of refined MDL. As the flexibility of our model class comes at the cost of a vast search space, we introduce a heuristic algorithm, named PALM, whichpartitions each dimensionalternately and thenmerges neighboring regions, all using the MDL principle. Experiments on synthetic data show that PALM (1) accurately reveals ground truth partitions that are within the model class (i.e., the search space), given a large enough sample size; (2) approximates well a wide range of partitions outside the model class; (3) converges, in contrast to the state-of-the-art multivariate discretization method IPD. Finally, we apply our algorithm to three spatial datasets, and we demonstrate that, compared to kernel density estimation (KDE), our algorithm not only reveals more detailed density changes, but also fits unseen data better, as measured by the log-likelihood.
Fuzzy-based dynamic difficulty adjustment of an educational 3D-game
Authors: Chrysafiadi Konstantina , Kamitsios Margaritis , Virvou Maria
Published: February 2023

An educational game aims to employ the pleasant and fascinating environment of a game for educational purpose. However, when the game’s educational content or playing environment does not match with the player’s learning needs or game-playing skills, the player can find the game either too easy or too difficult and decide to drop it. Therefore, a successful educational game has to offer Dynamic Difficulty Adjustment (DDA) of both the game’s educational content and the game’s playing environment. Considering the above, in this paper a fuzzy-based DDA mechanism of a 3D-game, that teaches the programming language ‘HTML’, is presented. The game adapts dynamically the difficulty of battles and mazes navigation to each individual player’s skills. The novelty of the presented game lies on the application of DDA in the two dimensions (educational content and playing environment) of an educational game and on the use of fuzzy logic for succeeding balance between the game’s difficulty and the user’s playing skills. The adaptation is realized in real-time, during the playing and not each time the player changes game level/track. Furthermore, fuzzy logic allows to apply DDA without the need of many learning data, like other Artificial Intelligence techniques for DDA (i.e. machine learning techniques). The presented game was evaluated through a comparative evaluation, which included questionnaires, an experiment in real conditions and t-test statistical analysis method. The evaluation results showed that the incorporated adaptation mechanism increases the user’s motivation and succeeds to keep players’ interest for the game undiminished.
Soil properties and plant species can predict population size and potential introduction sites of the endangered orchid Cypripedium calceolus
Authors: Rusconi Olivia , Steiner Théo , Le Bayon Claire , Rasmann Sergio
Published: February 2023

Background and Aims

To counteract the ongoing worldwide biodiversity loss, conservation actions are required to re-establish populations of threatened species. Two key factors predominantly involved in finding the most suitable habitats for endangered plant species are the surrounding plant community composition and the physicochemical parameters of the soil rooting zone. However, such factors are likely to be context- and species-dependent, so it remains unclear to what extent they influence the performance of target species.

Methods

We studied large and small Swiss populations of the endangered orchid Cypripedium calceolus. We measured functional traits related to C. calceolus plant and population performance (clonal patch area, plant height, number, of leaf, stems, flowers and fruits), realized vegetation surveys, soil profile analyses, and tested for relationships between plant traits and the surrounding vegetation structure or soil physicochemical parameters.

Results

Large populations contained bigger patches with more stems and leaves, and produced more flower per individual than small populations. Neither vegetation alliances nor soil classes per se could predict C. calceolus functional traits and population size. However, functional traits explaining population performance and size were related to specific soil parameters (soil organic matter content, pH and phosphorus), in addition to a combination of presence-absence of plant indicator species, relating to ecotones between forests and clearings.

Conclusion

We show that even for species that can grow across a wide range of vegetation groups both indicator species and specific soil parameters can be used to assess the most favourable sites to implement (re)-introduction actions.
Getting into the university track: Parents’ implicit theories about ability predict which type of secondary school their children are tracked into
Authors: Matthes Benjamin , Stoeger Heidrun
Published: February 2023

The few studies about whether parents’ implicit theories about ability (ITs) predict their children’s academic success and relevant parental behavior have produced mixed results. In response, research suggested that parents’ ITs might be more important in contexts that make children’s intellectual potential salient. Therefore, we investigated the role of parents’ ITs in such a situation: After fourth grade in Bavaria, Germany, students are tracked into one of three secondary school types (one university-track and two non-university-track) depending on their grades (in mathematics, German, and basic science). First, we examined if parents’ ITs predicted whether their children achieved the required grade average for a university-track school (that requires the highest grades). Second, because not all parents whose children achieved this threshold sent them to university-track schools, we investigated among the parents whose children had achieved the university-track threshold grade average whether parents’ ITs predict their track choice. Participants were 578 fourth-graders and their parents. Parents’ educational level was controlled for in all analyses. As expected, children of parents with a more incremental theory were more likely to achieve the university-track threshold grade average. For those children who achieved that threshold, parents with a more incremental theory were more likely to actually send their children to university-track schools. This effect was moderated by grade average. These results suggest that parents’ ITs may indeed be more important in contexts that make children’s intellectual potential salient, such as tracking decisions—especially if children’s achievement raises even slight doubts about whether they will succeed.
Processes and their modal profile
Authors: Baratella Riccardo
Published: February 2023

A widely debated issue in contemporary metaphysics is whether the modal profile of ordinary objects has to be explained in non-modal terms (that is,Thesis 1). However, how to solve such an issue with respect to occurrences – namely, processes and events – is a question that has been largely neglected in the current metaphysical debate. The general goal of this article is to start filling this gap. As a first result of the article, we make it plausible that, ifThesis 1holds for objects, then it also holds for processes and events. Then, we develop a metaphysical account of processes derived from Fine’s (1999, 2022) suggestions, according to which a process is a variable embodiment that is manifested by different events at the different times it goes on – namely,Thesis 2. We raisedthe challenge from the completion of a processthat asks the Finean account of processes to explain relevant modal features of processes in non-modal terms. As a second result, we argue that four initially plausible strategies for solving such a challenge fall short of solving it. As a third result, we show that the theory of variable embodiments Fine formulates for objects must differ from the theory of variable embodiments that aims to model processes. We conclude by investigating some revisions to a theory of variable embodiments that aims to model processes.
An epistemic logic of preferences
Authors: Naumov Pavel , Ovchinnikova Anna
Published: February 2023

The article studies preferences of agents in a setting with imperfect information. For such a setting, the authors propose a new class of preferences. It is said that an agent prefers one statement over another if, among all indistinguishable worlds, the agent prefers the worlds where the first statement is true to those where the second one is true. The main technical result is a sound and complete logical system describing the interplay between a binary modality capturing preferences and the knowledge modality. The proof of completeness is using a newly proposed “tumbled pairs” technique.
Realist dependence and irrealist butterflies
Authors: Strandberg Caj
Published: February 2023

In this paper, I argue that a realist account of the modality of moral supervenience is superior to a non-cognitivist account. According to the recommended realist account, moral supervenience amounts to strong supervenience where the outer ‘necessary’ is conceptual and the inner metaphysical. It is argued that non-cognitivism faces a critical choice between weak and strong supervenience where both options are implausible on this view. However, non-cognitivism seems to have an important advantage: It can explainwhythe outer ‘necessary’ is conceptual by reference to the function of moral language to influence behaviour. In the main part of the paper, I argue that realism is able to explainwhy‘necessary’ in moral supervenience needs to be understood in the recommended manner by reference to the connection between moral properties and moral reasons. Moreover, I argue that the realist account has other attractive features. In contrast to non-cognitivism, it can unify the normative sphere by being generalizable to other normative notions. In addition, it can be part of an explanation of why moral language can have the function to influence behaviour.
Wettability Alteration to Reduce Water Blockage in Low-Permeability Sandstone Reservoirs
Authors: Lopez Gonzalo Mauricio Ceron , Myers Matthew B. , Xie Quan , Wood Colin D. , Al-Bayati Duraid , Saeedi Ali
Published: February 2023

This study is a continuation of our previous work, which focused on a near-wellbore water blockage alleviation by applying a thermally cured silane-functionalized benzoxazine to modify rock wettability. In this new analysis, we have demonstrated that the resin can be applied in low-permeability sandstones (approximately 15 mD as opposed to 100 to 200 mD in the previous study) to change the rock surface wettability from water-wet to intermediate gas-wet. We have also demonstrated that curing temperatures as low as 125 °C (as opposed to 180 °C in our previous study) can significantly change wettability, indicating surface functionalization through the silane moiety and ring-opening polymerization of the benzoxazine moiety. In drainage core flooding experiments at 2.5 wt.% resin loading, compared to untreated samples, brine recovery increments of 6.3 to 6.9% were obtained for curing temperatures of 125 to 180 °C, respectively. A maximum 20% increment in the end-point relative gas permeability was achieved at a curing temperature of 180 °C. A coupled experimental and numerical study, conducted at core and wellbore scales, demonstrates the potential effectiveness of our chemical treatment in improving gas productivity at the field scale. Reservoir simulations indicate a 2.9 to 10.6% improvement in gas deliverability for a treatment radius of 4 to 16 m, respectively.
SMG: A Micro-gesture Dataset Towards Spontaneous Body Gestures for Emotional Stress State Analysis
Authors: Chen Haoyu , Shi Henglin , Liu Xin , Li Xiaobai , Zhao Guoying
Published: February 2023

We explore using body gestures for hidden emotional state analysis. As an important non-verbal communicative fashion, human body gestures are capable of conveying emotional information during social communication. In previous works, efforts have been made mainly on facial expressions, speech, or expressive body gestures to interpret classical expressive emotions. Differently, we focus on a specific group of body gestures, called micro-gestures (MGs), used in the psychology research field to interpret inner human feelings. MGs are subtle and spontaneous body movements that are proven, together with micro-expressions, to be more reliable than normal facial expressions for conveying hidden emotional information. In this work, a comprehensive study of MGs is presented from the computer vision aspect, including a novel spontaneous micro-gesture (SMG) dataset with two emotional stress states and a comprehensive statistical analysis indicating the correlations between MGs and emotional states. Novel frameworks are further presented together with various state-of-the-art methods as benchmarks for automatic classification, online recognition of MGs, and emotional stress state recognition. The dataset and methods presented could inspire a new way of utilizing body gestures for human emotion understanding and bring a new direction to the emotion AI community. The source code and dataset are made available:https://github.com/mikecheninoulu/SMG.
Modeling Soil Water Retention Under Different Pressures Using Adaptive Neuro-Fuzzy Inference System
Authors: Elbeltagi Ahmed , Jaiswal R. K. , Galkate R. V. , Kumar Manish , Lohani A. K. , Tyagi Jaiveer
Published: February 2023

Soil Water Retention (SWR) is an important process in drainage, surface, and groundwater partitioning, hydrological modeling, water supply for irrigation, etc. Assessment of SWR characteristics is complex and difficult to conduct spatially in varied locations. Therefore, Pedotransfer Functions (PTF) which are empirical relations with easily available physical properties are commonly used. In the present study, the evaluation of soil moisture at different suction pressure using the adaptive neuro-fuzzy inference systems (ANFIS) approach based on soil texture (percentage of gravel, sand, silt, and clay) and compare with the PTF approach. The analysis was conducted for a total of eleven sites of two adjoining commands in India. The pressure plate apparatus along with coarse and fine sieve analysis, titration, and other tests were carried out to determine SWR, texture, organic carbon, and bulk density. The comparative analysis of Nash–Sutcliffe efficiencies of the best-fitted PTF models and ANFIS model confirmed that the ANFIS model can capture all variations of soil texture across all sites with Nash–Sutcliffe efficiency of nearly 1.0 indicative of an exact match, while no single PTF-based model can be used for all the sites. Therefore, the ANFIS model can be used to model soil water retention for the central India region using easily available texture properties of soils.
Climate Change Impacts on Irish River Flows: High Resolution Scenarios and Comparison with CORDEX and CMIP6 Ensembles
Authors: Murphy Conor , Kettle Anthony , Meresa Hadush , Golian Saeed , Bruen Michael , O’Loughlin Fiachra , Mellander Per-Erik
Published: February 2023

Climate change is likely to impact water quality, resource availability and riverine ecosystems. While large ensembles are available to assess future impacts (e.g., the Coupled Model Intercomparison Projects (CMIP) and/or CORDEX) many countries have developed their own high-resolution ensembles. This poses a selection problem with robust adaptation dependent on plausible ranges of change being adequately quantified. Therefore, it is important to compare projected changes from available ensembles. Here we assess future climate change impacts for 26 Irish catchments. Using a high-resolution national ensemble of climate models projected impacts in mean, low and high flows are assessed and uncertainties in future projections related to catchment size. We then compare future impacts from CORDEX and CMIP6 ensembles for a subset of catchments. Results suggest increases in winter flows (-3.29 to 59.63%), with wide ranges of change simulated for summer (-59.18 to 31.23%), low (-49.30 to 22.37%) and flood (-19.31 to 116.34%) flows across catchments under RCP8.5 by the 2080s. These changes would challenge water management without adaptation. Smaller catchments tend to show the most extreme impacts and widest ranges of change in summer, low and flood flow changes. Both the ensemble mean and range of changes from the national ensemble were more modest and narrower than the CMIP6 and CORDEX ensembles, especially for summer mean and low flows, highlighting the importance of evaluating impacts across ensembles to ensure adaptation decisions are informed by plausible ranges of change.
Performance of traditional and machine learning-based transformation models for undrained shear strength
Authors: Länsivaara Tim Tapani , Farhadi Mohammad Sadegh , Samui Pijush
Published: February 2023

In geotechnical engineering, transformation models are often used as first estimates of parameters and to verify the order of magnitude of field and laboratory tests, which reliability might be constrained by many uncertainties. The undrained shear strength has been for long of particular interest for such models. The traditional transformation models for undrained shear strength are often rather simple. Still, the geotechnical community does not seem to have agreed upon which models to use. In particular, the question of including index properties to the models seems to be open. In the paper, the performance of traditional transformation models is compared to that of machine learning (ML)-based models. In addition, the influence of data coherence is studied by using two datasets of different quality. The ML-based transformation models proved to perform better than traditional ones for both datasets. Clearly, most dominant variables in the transformation model are the preconsolidation pressure and the effective vertical stress. Although including additional variable often may well improve the performance of the training set, the prediction of the testing sets generally tends to worsen, indicating overtraining. The risks for overtraining increase with incoherent data.
Inertial projected gradient method for large-scale topology optimization
Authors: Nishioka Akatsuki , Kanno Yoshihiro
Published: February 2023

We present an inertial projected gradient method for solving large-scale topology optimization problems. We consider the compliance minimization problem, the heat conduction problem and the compliant mechanism problem of continua. We use the projected gradient method to efficiently treat the linear constraints of these problems. Also, inertial techniques are used to accelerate the convergence of the method. We consider an adaptive step size policy to further reduce the computational cost. The proposed method has a global convergence property. By numerical experiments, we show that the proposed method converges fast to a point satisfying the first-order optimality condition with high accuracy compared with the existing methods. The proposed method has a low computational cost per iteration, and is thus effective in a large-scale problem.
Sensitivity analysis on blast design parameters to improve bench blasting outcomes using the Taguchi method
Authors: Hosseini Mostafa , Khandelwal Manoj , Lotfi Rahman , Eslahi Mohsen
Published: February 2023

In surface mines, bench blasting is a typical way of excavating hard rock mass. Although a significant development has taken place in explosive technology but still only a part of the energy is used to excavate and a large proportion of energy is wasted away and creates a number of nuisances. Backbreak, massive rock fragmentation, and high-intensity ground vibration are all symptoms of improper blasting. As a result, production costs increase significantly while productivity decreases. The blasting outcomes are affected by a variety of factors, which may be classified into three categories: rock properties, explosive properties, and blast geometry. Consequently, it is necessary to examine the effect of these parameters on bench blasting. So, in this study, a sensitivity analysis has been performed on various blast design parameters using the Taguchi method to study the influence of blast design parameters on blast vibration, backbreak, and rock fragmentation. A total of 32 experiments have been designed and numerical modeling was also carried out, using LS DYNA software to simulate the blast results. It was found that the blast hole diameter is the most important factor influencing the blasting outcomes. However, the number of rows in a blast affects backbreak almost slightly more than the hole diameter, but blast vibrations and the surrounding rock damage strongly depend on the hole diameter. Furthermore, rock blast geometry significantly affected rock blast vibration and damage compared to explosive properties. However, both blast geometry parameters and explosive properties play a significant role in backbreaking.
MicroRNAs in Sepsis-Induced Acute Lung Injury: New Advances in Diagnostics and Therapeutic
Authors: Liang Guibin , He Zhihui
Published: February 2023

In this commentary, we explored the advances made in miRNA and sepsis-induced acute lung injury (ALI) from the perspective of diagnosis and treatment. miRNAs play an important role in sepsis-induced ALI, including the regulation of inflammation, apoptosis, and oxidative stress, thereby participating in the progression of sepsis-induced ALI. miRNAs can act as therapeutic or diagnostic targets of sepsis-induced ALI. Also, the development of alternative or inhibitory drugs targeting specific miRNAs may be of great significance in treating sepsis-induced ALI and improving the prognosis of sepsis patients.
Stochastic Finance
Authors: Turner Amanda , Zeindler Dirk
Published: February 2023

Stochastic Finance provides an introduction to mathematical finance that is unparalleled in its accessibility. Through classroom testing, the authors have identified common pain points for students, and their approach takes great care to help the reader to overcome these difficulties and to foster understanding where comparable texts often do not. Written for advanced undergraduate students, and making use of numerous detailed examples to illustrate key concepts, this text provides all the mathematical foundations necessary to model transactions in the world of finance. A first course in probability is the only necessary background. The book begins with the discrete binomial model and the finite market model, followed by the continuous Black–Scholes model. It studies the pricing of European options by combining financial concepts such as arbitrage and self-financing trading strategies with probabilistic tools such as sigma algebras, martingales and stochastic integration. All these concepts are introduced in a relaxed and user-friendly fashion.
Pre-Islamic Arabia
Authors: Grasso Valentina A.
Published: February 2023

This book delves into the political and cultural developments of pre-Islamic Arabia, focusing on the religious attitudes of the inhabitants of the Arabian Peninsula and its northern extension into the Syrian desert. Between the third and the seventh century, Arabia was on the edge of three great empires (Iran, Rome and Aksūm) and at the centre of a lucrative network of trade routes. Valentina Grasso offers an interpretative framework which contextualizes the choice of Arabian elites to become Jewish sympathisers and/or convert to Christianity and Islam by probing the mobilization of faith in the shaping of Arabian identities. For the first time the Arabians of the period are granted autonomy from marginalizing (mostly Western) narratives framing them as 'barbarians' inhabiting the fringes of Rome and Iran and/or deterministic analyses in which they are depicted retrospectively as exemplified by the Muslims' definition of the period as Jāhilīyah, 'ignorance'.
The Necessity of Nature
Authors: García-Salmones Rovira Mónica
Published: February 2023

To understand our current world crises, it is essential to study the origins of the systems and institutions we now take for granted. This book takes a novel approach to charting intellectual, scientific and philosophical histories alongside the development of the international legal order by studying the philosophy and theology of the Scientific Revolution and its impact on European natural law, political liberalism and political economy. Starting from analysis of the work of Thomas Hobbes, Robert Boyle and John Locke on natural law, the author incorporates a holistic approach that encompasses global legal matters beyond the foundational matters of treaties and diplomacy. The monograph promotes a sustainable transformation of international law in the context of related philosophy, history and theology. Tackling issues such as nature, money, necessities, human nature, secularism and epistemology, which underlie natural lawyers' thinking, Associate Professor García-Salmones explains their enduring relevance for international legal studies today.
Rewriting the Italian Novella in Counter-Reformation Spain
Authors: Rabell Carmen R.
Published: February 2023

As they reshaped the Italian novella under the inquisitorial atmosphere of the Counter-Reformation, Spanish narrators labelled their texts as exemplary. However, critics have usually agreed that there is a contradiction between the morals preached in the narrative frames, prologues and sententiae of Spanish novellas and the content of the plots. Rabell sees this ambiguity as a result of the use of the rhetoric of the fictitious case: Spanish novellas rewrite the Italian genre with the specific purpose of either challenging or validating the rules regarding marriage introduced by the Council of Trent.Since civil, canonical and family hierarchies were based on the same metaphor that conceives power as one body in which, by analogy, the husband is the head of his family, as the monarch is the head of the state and the Pope is the head of the church, Spanish novellas explore the contradictions between civil and canon laws regarding the private context of marriage in order to suggest further contradictions within the public sphere of state and church. The fictitious case provides a rhetoric to test the validity of the legal grounds of Counter-Reformation Spain.CARMEN R. RABELL is associate professor, department of comparative literature, University of Puerto Rica - Rio Piedras.
Miracles of the Virgin in Medieval England
Authors: Boyarin Adrienne Williams
Published: February 2023

First book-length study of hagiographical legends of the Virgin Mary in medieval England, with particular reference to her relationship with Jews, books, and the law.
Distributionally robust reinsurance with expectile
Authors: Xie Xinqiao , Liu Haiyan , Mao Tiantian , Zhu Xiao Bai
Published: February 2023

We study a distributionally robust reinsurance problem with the risk measure being an expectile and under expected value premium principle. The mean and variance of the ground-up loss are known, but the loss distribution is otherwise unspecified. A minimax problem is formulated with its inner problem being a maximization problem over all distributions with known mean and variance. We show that the inner problem is equivalent to maximizing the problem over three-point distributions, reducing the infinite-dimensional optimization problem to a finite-dimensional optimization problem. The finite-dimensional optimization problem can be solved numerically. Numerical examples are given to study the impacts of the parameters involved.
Bicentric polygons, their incircles, circumcircles and the circles between
Authors: Stephenson Paul
Published: February 2023

A bicentric polygon is one which possesses both an incircle and a circumcircle. To every bicentric polygon belong sets of circles which relate to them in the way described below (Figure 1). We take the triangle as our exemplar. We state results which students can verify using elementary methods. They may consult [1] for our own proofs but in several cases they may spot a neater approach. If so they should submit it to this journal as Feedback.
Actualism and Uniformitarianism: From Abstract Commitments to Forms of Practice
Authors: Dresow Max
Published: February 2023

In “The Role of Historical Science in Methodological Actualism,” Meghan Page makes a number of important points about the sciences of geohistory. Yet the force of her arguments is blunted by her decision to explicate concepts like “actualism” and “uniformitarianism” as abstract methodological commitments. In this discussion note, I illustrate the difficulties that arise from this decision, and suggest a way of avoiding them that preserves Page’s main conclusions.
Soil quality assessment based on hybrid computational approach with spatial multi-criteria analysis and geographical information system for sustainable tea cultivation
Authors: Saygın F. , Şavşatlı Y. , Dengiz O. , Yazıcı K. , Namlı A. , Karataş A. , Şenol N. D. , Akça M. O. , Pacci S. , Karapıçak B. , Ay A. , Demirkaya S.
Published: February 2023

Long-term intensive tea cultivation is suspected of deteriorating soil quality status and degrading land sustainability. This study aimed to determine the soil quality index of soils in a micro-catchment in Rize Province, Turkey, used for long-term intensive tea cultivation, by means of spatial multi-criteria analysis (SMCA) and standard scoring function (SSF) integrated with geographical information system (GIS) and geostatistics, considering bio-physical-chemical properties of a detailed soil dataset. Soil samples (102) were collected from the surface layer (0–20 cm). In the soil quality index for tea-cultivated soils (TSQI), soil indicators were weighted by an analytical hierarchy. Various indicator units were normalized with the SSF. The TSQI model was divided into five main criteria: (i) physical properties, (ii) chemical properties, (iii) fertility, (iv) biological indicators and (v) soil erosion susceptibility parameters. Principal components analysis (PCA) was applied and minimum dataset (MDS) created to determine the most effective indicators. The spatial distribution pattern of the tea total dataset soil quality index (TSQITDS) and tea minimum dataset soil quality index (TSQIMDS) values were statistically similar. TSQITDSlow and very low-class areas accounted for 34.1% of the total area, while TSQIMDSlow and very low-class areas constituted 33.6%. These areas, especially those with low soil quality properties, were in the northern and north-western parts of the micro-catchment. TSQITDSvery high and high-class areas accounted for 56.2% of the total area, while TSQIMDSvery high and high-class areas were found in 55.3% of the total area. These areas are located in the south of the micro-catchment.
Forgetfulness in the First English Reformation? Tithes Forgotten
Authors: POSTLES DAVID FOGG
Published: February 2023

Bequests for tithes forgotten were a staple component of orthodox wills in the early sixteenth century. Interestingly, this element appeared considerably less frequently in these documents in the diocese of (Coventry and) Lichfield and the archdeaconry of Leicester in the 1530s and 1540s. Two probable and possibly inter-related influences were at work: a change of perception of tithes from spiritual redemption to benefice income; and some remembered legacy from Lollard criticism of the purpose of tithes. This examination confirms the idea of a variety of responses in different locations, illustrated by those small adjustments which were achievable by testators.
Blood tests as biomarkers for the diagnosis and prognosis of sudden sensorineural hearing loss in adults: a systematic review
Authors: Al-Azzawi A , Stapleton E
Published: February 2023

Objective

Sudden sensorineural hearing loss is considered idiopathic in up to 90 per cent of cases. This study explored the role of blood tests as biomarkers for the diagnosis and prognosis of sudden sensorineural hearing loss.

Method

Two researchers filtered 34 papers into the final review. This review was pre-registered on the Prospero database and conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines.

Results

Raised inflammatory markers are almost universal in sudden sensorineural hearing loss, suggesting an inflammatory or autoimmune process. The most useful biomarkers are neutrophil-lymphocyte ratio, platelet-lymphocyte ratio and fibrinogen level. Focused investigations should be deployed on a case-by-case basis to identify underlying metabolic, infective and autoimmune conditions.

Conclusion

A full blood count and coagulation screen (fibrinogen) is recommended in all cases of sudden sensorineural hearing loss. These are inexpensive, accessible and offer as much diagnostic and prognostic information as any other biomarker. There is emerging evidence regarding specific biomarkers for sudden sensorineural hearing loss prognosis, with heat shock protein-70, anti-endothelial cell antibody and prestin demonstrating potential; investigation of their validity through prospective, controlled research is recommended.
Delinking ‘the two rupees’: The devaluation dilemma and economic divergence in the decolonized subcontinent, September 1949–February 1951
Authors: Ankit Rakesh
Published: February 2023

By looking at the September 1949 devaluation dilemma faced by the governments of Pakistan and India, this article argues that it was an early episode of divergence between them following partition. The reasons why Pakistan did not devalue when India did so have remained largely obscured in the historiography. Deeply contested, the decision was a determining event through which the state staked its claim for economic sovereignty, internally and externally. It led to a 17-month-long official trade deadlock, especially in the eastern region of partitioned Bengal. It ended when the two governments established an exchange ratio for the two rupees, no longer at par with each other. This interactive delinking of currencies was symptomatic of the improvisational decoupling of the colonial subcontinent’s post-colonial states. In tracing its trajectory, this article contributes to the inconsiderable literature on why devaluation did not happen in Pakistan, revises the rationale offered, and presents the event as a contingent exercise in economic decolonization, generative of a post-colonial sovereign difference.
God as an asset and some paradoxical implications
Authors: Smilansky Saul
Published: February 2023

Conventional monotheist religious believers commonly believe that God will sometimes assist them, will be on their side. God, in other words, they believe, is an asset. Conceptually an asset is anything (such as a person or an object) that can assist one, something that is prima facie good to possess or to have on one's side, that is likely to or can assist one to make one's life go better, overall. Having assets can have weighty implications, including moral ones. I argue that here the implications are quite surprising, and indeed paradoxical. In particular, the religious will have in certain circumstances good reasons, and sometimes even moral obligations, to give up their interests for those who lack such assets, namely secular non-believers. The claim is not that religious people actually see things in this way but that, normatively, given their beliefs, many of them should, in the sense of the subjective ‘ought’. This can be relevant both in this world and concerning the next. Moreover, in many situations plausible religious replies are not sufficient to block the move. This topic has not, to the best of my knowledge, ever been seriously analysed philosophically.
Individual differences in self-regulated learning profiles of Chinese EFL readers: A sequential explanatory mixed-methods study
Authors: Chen Jiangping , Lin Chin-Hsi , Chen Gaowei , Fu Huafang
Published: February 2023

This study explored the latent profiles of self-regulated learning (SRL) strategies (cognitive, metacognitive, and motivational regulation) endorsed by Chinese English-as-a-foreign-language (EFL) readers in a high-stakes testing environment, and also their associations with individual factors (gender, grade, reading proficiency, and motivational beliefs). With a sequential explanatory mixed-methods design, students in grades 11 and 12 (n = 1,113) completed a reading comprehension test and a questionnaire regarding their strategy use and individual factors, and some (n = 16) were randomly selected for follow-up semi-structured interviews. Findings revealed three SRL profiles, characterized by high, medium, and low levels of SRL-strategy use. Self-efficacy and extrinsic motivation most powerfully predicted an individual’s profile membership; all the intrinsic and extrinsic motivation variables were significantly higher for learners from the higher strategy-use profile. Moreover, reading proficiency did not significantly predict profile membership, but more self-regulated students still achieved higher reading scores as a group tendency.
Coping, (mal)adaptive personality and identity in young adults: A network analysis
Authors: Van der Hallen Ruth , De Pauw Sarah S. W. , Prinzie Peter
Published: February 2023

Coping, personality, and identity are three well-known constructs within the field of psychology. Yet, findings regarding how these constructs relate to each other have been inconsistent. The present study employs network analysis to investigate coping, adaptive and maladaptive personality, and identity and how they are related, using data from the Flemish Study on Parenting, Personality, and Development (FSPPD; Prinzie et al., 2003; 1999–current). Young adults (N = 457; 47% male), aged between 17–23 years old, completed a survey on coping, adaptive and maladaptive personality, and identity. Results indicate clear associations between coping and both adaptive and maladaptive personality within the network, suggesting coping and personality are distinct, yet highly related constructs whereas identity proved largely unrelated. Potential implications and suggestions for future research are discussed.