bluuebunny/crossref_metadata_2025 huggingface dataset:
Novel transfer learning schemes based on Siamese networks and synthetic data
Authors: Kenneweg Philip , Stallmann Dominik , Hammer Barbara
Published: December 2022

Transfer learning schemes based on deep networks which have been trained on huge image corpora offer state-of-the-art technologies in computer vision. Here, supervised and semi-supervised approaches constitute efficient technologies which work well with comparably small data sets. Yet, such applications are currently restricted to application domains where suitable deep network models are readily available. In this contribution, we address an important application area in the domain of biotechnology, the automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation, where data characteristics are very dissimilar to existing domains and trained deep networks cannot easily be adapted by classical transfer learning. We propose a novel transfer learning scheme which expands a recently introduced Twin-VAE architecture, which is trained on realistic and synthetic data, and we modify its specialized training procedure to the transfer learning domain. In the specific domain, often only few to no labels exist and annotations are costly. We investigate a novel transfer learning strategy, which incorporates a simultaneous retraining on natural and synthetic data using an invariant shared representation as well as suitable target variables, while it learns to handle unseen data from a different microscopy technology. We show the superiority of the variation of our Twin-VAE architecture over the state-of-the-art transfer learning methodology in image processing as well as classical image processing technologies, which persists, even with strongly shortened training times and leads to satisfactory results in this domain. The source code is available at https://github.com/dstallmann/transfer_learning_twinvae, works cross-platform, is open-source and free (MIT licensed) software. We make the data sets available at https://pub.uni-bielefeld.de/record/2960030.
The infinite-horizon investment–consumption problem for Epstein–Zin stochastic differential utility. II: Existence, uniqueness and verification for $\vartheta \in (0,1)$
Authors: Herdegen Martin , Hobson David , Jerome Joseph
Published: December 2022

In this article, we consider the optimal investment–consumption problem for an agent with preferences governed by Epstein–Zin (EZ) stochastic differential utility (SDU) over an infinite horizon. In a companion paper Herdegen et al. (Finance Stoch. 27:127–158, 2023), we argued that it is best to work with an aggregator in discounted form and that the coefficients $R$
R
of relative risk aversion and $S$
S
of elasticity of intertemporal complementarity (the reciprocal of the coefficient of elasticity of intertemporal substitution) must lie on the same side of unity for the problem to be well founded. This can be equivalently expressed as $\vartheta := \frac{1-R}{1-S} >0$
ϑ
:
=

1
−
R

1
−
S

>
0
.

In this paper, we focus on the case $\vartheta \in (0,1)$
ϑ
∈
(
0
,
1
)
. The paper has three main contributions: first, to prove existence of infinite-horizon EZ SDU for a wide class of consumption streams and then (by generalising the definition of SDU) to extend this existence result to any consumption stream; second, to prove uniqueness of infinite-horizon EZ SDU for all consumption streams; and third, to verify the optimality of an explicit candidate solution to the investment–consumption problem in the setting of a Black–Scholes–Merton financial market.
Effects of structure and volcanic stratigraphy on groundwater and surface water flow: Hat Creek basin, California, USA
Authors: Marcelli Marina F. , Burns Erick R. , Muffler L. J. Patrick , Meigs Andrew , Curtis Jennifer A. , Torgersen Christian E.
Published: December 2022

Hydrogeologic systems in the southern Cascade Range in California (USA) develop in volcanic rocks where morphology, stratigraphy, extensional structures, and attendant basin geometry play a central role in groundwater flow paths, groundwater/surface-water interactions, and spring discharge locations. High-volume springs (greater than 3 m3/s) flow from basin-filling (<800 ka) volcanic rocks in the Hat Creek and Fall River tributaries and contribute approximately half of the average annual flow of the Pit River, the largest tributary to Shasta Lake. A hydrogeologic conceptual framework is constructed for the Hat Creek basin combining new geologic mapping, water-well lithologic logs, a database of active faults, LiDAR mapping of faults and volcanic landforms, streamflow measurements and airborne thermal infrared remote sensing of stream temperature. These data are used to integrate the geologic structure and the volcanic and volcaniclastic stratigraphy to create a three-dimensional interpretation of the hydrogeology in the basin. Two large streamflow gains from focused groundwater discharge near Big Spring and north of Sugarloaf Peak result from geologic barriers that restrict lateral groundwater flow and force water into Hat Creek. The inferred groundwater-flow barriers divide the aquifer system into at least three leaky compartments. The two downstream compartments lose streamflow in the upstream reaches (immediately downstream of the groundwater-flow barriers) and gain in downstream reaches with the greatest inflows immediately upstream of the barriers.
What Endgame for the Deglobalisation Narrative?
Authors: Evenett Simon J.
Published: December 2022

From the perspective of international economic governance, other than casting aspersions on the judgement of those that negotiated previous multilateral trade accords and the accession of China to the World Trade Organization, the deglobalisation narrative is silent on how to reform that organisation — or what to salvage from existing global trade rules.
Slowbalisation in the Context of US-China Decoupling
Authors: Garcia-Herrero Alicia
Published: December 2022

While it is too early to confirm the depth and the sustainability of this new trend towards slower globalisation, it may be happening in more domains than we are fully aware of, at least for the near term given the renewed backdrop of the Russia-Ukraine war and the wider use of sanctions globally.
Supply or Demand, that is the Question: Decomposing Euro Area Inflation
Authors: Pasimeni Paolo
Published: December 2022

This paper studies the recent trends in inflation in the euro area and estimates to what extent the current inflationary pressures are driven by demand expansion and by supply side disruptions. First of all, consumer price inflation is particularly pronounced in goods and less so in the case of services. Energy and food are the most relevant components of rising consumer prices, accounting for almost three-quarters of total headline inflation. The fact that price pressure comes mainly from sectors with a high import content suggests that disruptions along international supply chains may play a key role. The paper then focuses on producer prices at the sectoral level and presents a methodology to decompose the rise in inflation between supply and demand impulses. It finds that, in the present context, supply factors are the main driver and account for at least 80% of the current increase in producer prices in industry and in each one of the manufacturing sectors with the highest price pressures. There are nevertheless some differences across countries. These findings imply that, if repairing supply-side problems and disruptions along supply chains is the priority, then promoting the right investment may be more urgent than cooling demand down. Country heterogeneity in the relative importance of demand and supply factors, then, may lead to different degrees of effectiveness of monetary policy and to a risk of divergences.
The Portuguese Dilemma of Unstable Pensions
Authors: Sell Friedrich L.
Published: December 2022

Portugal’s high public debt, its weak economic growth and its great attractiveness for foreign tourists are legend. Less well known is its unstable system of public pensions. This article addresses the underlying economic and political reasons, such as poor labour productivity, low real wages, insufficient immigration of trained people and the failure to find alternative ways of financing retirement. NextGenerationEU will effectively soften Portugal’s macroeconomic budget constraints, but it carries the risk of further postponement of necessary policy changes and reforms.
Improving Deep Learning-based Plant Disease Classification with Attention Mechanism
Authors: Alirezazadeh Pendar , Schirrmann Michael , Stolzenburg Frieder
Published: December 2022

In recent years, deep learning-based plant disease classification has been widely developed. However, it is challenging to collect sufficient annotated image data to effectively train deep learning models for plant disease recognition. The attention mechanism in deep learning assists the model to focus on the informative data segments and extract the discriminative features of inputs to enhance training performance. This paper investigates the Convolutional Block Attention Module (CBAM) to improve classification with CNNs, which is a lightweight attention module that can be plugged into any CNN architecture with negligible overhead. Specifically, CBAM is applied to the output feature map of CNNs to highlight important local regions and extract more discriminative features. Well-known CNN models (i.e. EfficientNetB0, MobileNetV2, ResNet50, InceptionV3, and VGG19) were applied to do transfer learning for plant disease classification and then fine-tuned by a publicly available plant disease dataset of foliar diseases in pear trees called DiaMOS Plant. Amongst others, this dataset contains 3006 images of leaves affected by different stress symptoms. Among the tested CNNs, EfficientNetB0 has shown the best performance. EfficientNetB0+CBAM has outperformed EfficientNetB0 and obtained 86.89% classification accuracy. Experimental results show the effectiveness of the attention mechanism to improve the recognition accuracy of pre-trained CNNs when there are few training data.
The Development and Validation of the Firesetting Questionnaire
Authors: Gannon Theresa A. , Olver Mark E. , Alleyne Emma , Butler Helen , Lister Victoria , Ó Ciardha Caoilte , Sambrooks Katie , Tyler Nichola
Published: December 2022

This research developed and evaluated a measure to examine fire-specific constructs relevant to fire misuse. In the first study, using UK community members asked to disclose deliberate firesetting, we tested a large pool of theoretically informed questionnaire items. First, we found that 1 in 10 adults reported setting a deliberate fire that they had not been apprehended for. Then, exploratory and confirmatory factor analyses suggested an eight-factor measure with broader coverage of theoretically-informed risk factors, relative to previous measures, and acceptable test item validity and robust internal consistencies. In the second study, we tested the Firesetting Questionnaire with imprisoned men who held a record of firesetting and imprisoned and community comparisons. The findings illustrated psychometric robustness. Our results suggest that the Firesetting Questionnaire has the potential to be a useful clinical tool for highlighting fire-specific treatment needs and informing clinical formulation and associated risk management.
Evaluation of the suitability of different methods for determination of the crosslink density in highly filled EPDM compounds
Authors: Spanheimer Vanessa , Katrakova-Krüger Danka , Altenhofer Philipp , Valtchev Kroum
Published: December 2022

The crosslink density of elastomers is the essential property that determines many other but especially the mechanical product properties. Different raw materials, especially recycled and bio-based materials, influence the vulcanization and may change the crosslink density when they are used as a substitute to conventional raw materials. Aim of this study is to develop a procedure that allows the reliable determination of the crosslink density in highly filled EPDM compounds as basis for future investigations focussed on substitution with sustainable materials in this compound. Unfortunately, experiences with other rubber compounds like tire treads cannot be directly applied here because of the use of other filler types and amounts as well as the differences in the polymer with regard to active sites (available double bonds). Equilibrium swelling, Flory-stress-strain-measurements, freezing point depression and temperature-scanning-stress-relaxation are applied to a model EPDM compound with high filler and softener amount as typically used for sealings. For sensitivity investigation the amount of the crosslink agent sulfur was varied. Furthermore, the influence of different accelerators was investigated. All methods are able to determine the crosslink density but with different standard deviations due to measurement errors. Partially, they can be optimized for this use case. Based on the results a combination of Flory-stress-strain-measurements and freezing point depression was chosen to be used in the future.
Electoral Competition, the EU Issue and Far-right Success in Western Europe
Authors: Vasilopoulou Sofia , Zur Roi
Published: December 2022

We argue theoretically and demonstrate empirically that to understand the electoral fortunes of far-right parties in Western Europe, we need to consider the advantages and disadvantages these parties encounter in the multidimensional political issue space. We argue that salience changes among the electorate benefit far-right parties more than shifting far-right parties’ policy positions. We further posit that changes in the public salience of European integration are more important for far-right success than other issues -- including immigration. Utilizing similar survey questions from the Chapel Hill Expert Survey (CHES) about parties’ positions and the European Election Studies (EES) about voters’ policy preferences, we estimate multidimensional voting models in 12 West European countries. We then use mathematical simulations to show that the issue that matters most for far-right success is European integration. This research has important implications for the study of electoral competition, parties’ campaign strategies, and voting behavior.
Should We Continue EU Cohesion Policy? The Dilemma of Uneven Development of Polish Regions
Authors: Jagódka Maciej , Snarska Małgorzata
Published: December 2022

The European Union and the whole world are facing the problem of increasing income and wealth inequalities at the country and regional levels. Inequalities are a severe obstacle to sustainable and balanced growth. Politicians perceive this problem by trying to implement different types of development models. The cohesion policy is the European Union's response to the development differences between countries and regions. It is clearly defined that development has to be sustainable and inclusive, which is reflected in the objectives of all leading EU development strategies. The aim of this paper is (1) to examine how effective the EU cohesion policy is in reducing regional disparities (2) to assess that the main cause of regional disparities is the misallocation of human capital. The authors base their study on the regions of Poland, estimating the state of their human capital and innovation between 2004 and 2018. We examine the effectiveness of cohesion policy using functional data analysis—the Wilcoxon test, which was used for the first time for this type of issue. The current question is whether to help metropolises and large cities, which will entail the development of smaller units, or whether to try to increase the rate of development of smaller and economically weaker territorial units in the first place.
Consumer acceptance of cultured meat: an empirical analysis of the role of organizational factors
Authors: Lin-Hi Nick , Reimer Marlene , Schäfer Katharina , Böttcher Johanna
Published: December 2022

Cultured meat, i.e. meat produced in-vitro through the cultivation of animal stem cells, is a radical innovation that prepares to enter the market in the near future. It has the potential to substantially reduce the negative externalities of today’s meat production and consumption and pave the way for a more sustainable global food system. However, this potential can only be realized if cultured meat penetrates the mass-market, which renders consumer acceptance a critical bottleneck. Using structural equation modeling, the present paper investigates the role of hitherto neglected organizational factors (trustworthiness, corporate social responsibility (CSR), and extrinsic motives) as antecedents of consumer acceptance of cultured meat. To this end, a pre-post intervention design in terms of a two-part online questionnaire was used with the final sample consisting of 966 participants. We found that in addition to established antecedents on the product level, organizational trustworthiness and CSR have a significant influence on consumers’ willingness to buy cultured meat. The findings indicate that organizational factors matter for consumer acceptance of cultured meat.
Abrasive Wear Behavior of Nano-Sized Steel Scale on Soft CuZn35Ni2 Material
Authors: Demirsoz Recep , Uğur Abdullah , Erdoğdu Ahmet Emrah , Korkmaz Mehmet Erdi , Gupta Munish Kumar
Published: December 2022

This study examines the abrasive wear behavior of nano-sized steel scale on the CuZn35Ni2 Soft material. CuZn35Ni2 Soft material was used as a sample, and the three-body wear mechanism formed by nanoscale particles mixed with lubricating oil was investigated using a ball-on-flat tester. Three different loads, three different sliding speeds and three different environment variables were used in the experiments. A lubricant containing 0.15 and 0.3 wt.% nanoscale and a non-abrasive lubricant was used to form the medium. The experimental results were obtained as mass loss, wear depth and friction coefficient and the wear surfaces were examined using scanning electron microscopy/energy-dispersive x-ray spectroscopy (SEM/EDX). The analysis of variance method was used to determine the effect of independent variables on the results. As a result of the study, it was concluded that the most effective parameter for mass loss and CoF was the environment, and the most effective parameter for the depth of wear was the load. It was concluded that there might be a difference of up to 10% in the coefficient of friction between the experiments and the predicted values. Still, in general, the predicted values and the experimental results agree.
The Efficacy Comparison of Endoscopic Bariatric Therapies: 6-Month Versus 12-Month Intragastric Balloon Versus Endoscopic Sleeve Gastroplasty
Authors: Kozłowska-Petriczko K. , Pawlak K. M. , Wojciechowska K. , Reiter A. , Błaszczyk Ł. , Szełemej J. , Petriczko J. , Wiechowska-Kozłowska A.
Published: December 2022

Introduction

Intragastric balloon (IGB) insertion and endoscopic sleeve gastroplasty (ESG) are known to be effective and safe in achieving weight loss. The aim of this study was to compare the effects of a 6-month IGB therapy, a 12-month IGB therapy, and ESG.

Methods

We retrospectively analyzed the weight loss at IGB (Orbera) removal after 6 months (124 patients), at IGB (Orbera365) removal after 12 months (61 patients) and at 6 and 12 months after ESG (42 and 34 patients, respectively). Postprocedural care, including medication and diet, was the same for all procedures.

Results

Mean TBWL in patients undergoing IGB placement for 6 and 12 months and ESG after 6 and 12 months were 15.2, 15.8, 26.5, and 28.7 kg, respectively. There was no significant difference in the mean %TBWL in patients undergoing IGB placement for 6 or for 12 months (15.3% vs. 14.7%, P = 0.7). ESG patients showed a significantly higher mean %TBWL than IGB patients after 6 months (15.3 vs. 19.8, P = 0.005) and 12 months (14.7 vs. 22.5, P < 0.001).

Conclusion

All three studied methods were effective for achieving weight loss. However, there was no significant difference between 6-month and 12-month IGB therapies outcomes. ESG appeared to be a more effective obesity treatment modality than IGB.

Graphical Abstract
Configurations of Technology Commercialization: Evidence from Chinese Spin-off Enterprises
Authors: Fang Qi , Xie Hong-Ming
Published: December 2022

Despite numerous studies on understanding effectiveness of technology commercialization, only limited attention is given to the complex relationship inter and inner its conditions, which formed from the policy system between different levels of government networks and the unbalanced regional technology resources in China. Using data from spin-off enterprises, this paper develops an integrated configuration framework for and provide an empirical test of five predictors, namely policy supply, policy coordination, technology source, firm strength, and R&D investment, which capture three contextual features of institutional, organizational, and technological complexity within Chinese technology commercialization context. Confirmatory factor analysis (CFA) and Fuzzy-set qualitative comparative analysis (fs/QCA) of data identified three distinct effective TC paths: The first, dominator, pertained to the effective regional policy supply and powerful enterprise strength, even if the regional technology source is deficient. The second, devotee, characterized by effective policy coordination, intensive R&D investment, and abundant technology source or powerful enterprise. The last, investor, featured by poor policy coordination and poor regional technical resources, while favorable regional policy supply and R&D investment.
Induction of premature senescence and a less-fibrogenic phenotype by programmed cell death 4 knockdown in the human hepatic stellate cell line Lieming Xu-2
Authors: Perveen Rasheda , Ozaki Iwata , Manirujjaman M. , Mine Keiichiro , Murata Yuzo , Tanaka Kenichi , Xia Jinghe , Takahashi Hirokazu , Anzai Keizo , Matsuhashi Sachiko
Published: December 2022

Although programmed cell death 4 (PDCD4) was initially reported as a tumor suppressor and has been shown to inhibit cancer cell growth and metastasis, recent studies have demonstrated that loss of PDCD4 expression also induces growth inhibition by inducing apoptosis and/or cellular senescence. At present, the roles of PDCD4 in the activation and profibrogenic properties of myofibroblasts, which are critically involved in organ fibrosis, such as that in the liver, are unclear. We, therefore, investigated the roles of PDCD4 in myofibroblasts using human hepatic stellate cell line Lieming Xu-2 (LX-2). PDCD4 knockdown inhibited LX-2 proliferation and induced a senescent phenotype with increased β-galactosidase staining and p21 expression in a p53-independent manner together with downregulation of the notch signaling mediator RBJ-κ/CSL. During PDCD4 knockdown, alpha smooth muscle actin (α-SMA; an activation marker of myofibroblasts), matrix metalloproteinases MMP-1 and MMP-9, and collagen IV were upregulated, but the expression of collagen1α1 and collagen III was markedly downregulated without any marked change in the expression of tissue inhibitor of metalloproteinase-1 (TIMP-1). These results demonstrated that knockdown of PDCD4 induced the cellular senescence phenotype and activated myofibroblasts while suppressing the profibrogenic phenotype, suggesting roles of PDCD4 in cellular senescence and fibrogenesis in the liver.
The Classical–Quantum Correspondence
Authors: Feintzeig Benjamin H.
Published: December 2022

This Element provides an entry point for philosophical engagement with quantization and the classical limit. It introduces the mathematical tools of C*-algebras as they are used to compare classical and quantum physics. It then employs those tools to investigate philosophical issues surrounding theory change in physics. It discusses examples in which quantization bears on the topics of reduction, structural continuity, analogical reasoning, and theory construction. In doing so, it demonstrates that the precise mathematical tools of algebraic quantum theory can aid philosophers of science and philosophers of physics.
Urban Society and Monastic Lordship in Reading, 1350-1600
Authors: Chick Joe
Published: December 2022

Interrogates the standard view of turbulent and violent town-abbey relations through a combination of traditional and new research techniques.
The Ledra Palace Hotel and the ‘difficult history’ of modern Cyprus
Authors: Heraclidou Antigone , Stylianou-Lambert Theopisti
Published: December 2022

This paper explores the extent to which the recent turbulent history of Cyprus is reflected in an emblematic building, the Ledra Palace Hotel. The hotel is situated on Nicosia's buffer zone, the Green Line that, since 1964, has divided the island into Greek Cypriot and Turkish sectors. Since its establishment in 1949 the Ledra Palace has been the background of the country's key historical events. In this paper, the Ledra Palace is analysed as an integral part of Cyprus’ cultural heritage which contributes to the understanding and negotiation of the island's difficult past.
A French Version of a Voice Recognition Symbol Digit Modalities Test Analog
Authors: Feinstein Anthony , Shen Lingkai , Rose Jonathan , Cayer Caroline , Bockus Caitlyn , Meza Cecilia , Puopolo Juliana , Lapointe Emmanuelle
Published: December 2022

We previously showed that a fully automated voice recognition analog of the Symbol Digit Modalities Test (VR-SDMT) is sensitive in detecting processing speed deficits in people with multiple sclerosis (pwMS). We subsequently developed a French language version and administered it to 49 French-Canadian pwMS and 29 matched healthy control (HC) subjects. Significant correlations between the VR-SDMT and traditional oral SDMT were found in the MS (r = −0.716, p < 0.001) and HC (r = −0.623, p < 0.001) groups. These findings in French replicate our previous findings and confirm the utility of voice recognition software in assessing cognition in pwMS.
Comparing UV-C dosages of emitter placement strategies in a community hospital setting
Authors: Haag Cody W. , Holliday George , Archulet Kenneth , Tang Weiming
Published: December 2022

We measured the amount of UV-C light (254 nm) achieved on hospital surfaces using a modified emitter and competing placement strategies. An autonomous UV-C strategy improved exposure on surfaces that were distant, angled, or shadowed to the nonautonomous strategies, leading to significantly higher overall UV-C dosages.
Role of liquid driving on the clogging of constricted particle suspensions
Authors: Souzy Mathieu , Marin Alvaro
Published: December 2022

Forcing dense suspensions of non-cohesive particles through constrictions might result in a continuous flow, an intermittent one, or indefinite interruption of flow, i.e. a clog. While one of the most important (and obvious) controlling parameters in such a system is the neck-to-particle size ratio, the role of the liquid driving method is not so straightforward. On the one hand, widespread volume-controlled systems such as syringe pumps result in pressure and local liquid velocity increases upon eventual clogs. On the other hand, pressure-controlled systems result in a decrease of the flow through the constriction when a clog is formed. The root of the question therefore lies in the role of interparticle liquid flow and hydrodynamic forces on both the formation and stability of an arch blocking the particle transport through a constriction. In this work, we study experimentally a suspension of non-cohesive particles flowing through a constricted channel (with neck-to-particle size ratio

$3.03\leq D/d\leq 5.26$

) in an intermittent fashion, in which they are most sensitive to parametric changes. Due to the stochastic nature of the intermittency, we make use of statistical distributions of arrest times and of discharged particles, and surprisingly, we find that the transport of non-cohesive suspensions through constrictions actually follows a ‘slower is faster’ principle under pressure-controlled driving: low imposed pressures yield intermittent non-persistent clogs, while high imposed pressures result in longer-lasting clogs, eventually becoming everlasting, and thus reducing the net particle transport rate.
Wall-bounded thermal turbulent convection driven by heat-releasing point particles
Authors: Du Yuhang , Yang Yantao
Published: December 2022

In this work we investigate the thermal convection driven by heat-releasing point particles. Three-dimensional direct numerical simulations are conducted for$1\times 10^7\le {\textit {Ra}} \le 1\times 10^{10}$and$0.01\le {\textit {St}} \le 10$, where the Rayleigh number${\textit {Ra}}$and Stokes number${\textit {St}}$measure the strengths of the heat releasing rate and the Stokes drag, respectively. A regime at intermediate Stokes numbers is identified with most particles accumulating into the top boundary layer region, while for other cases particles are constantly advected over the entire domain. For the latter state, the flow motions are stronger at the upper part of the domain. The thicknesses of both momentum and thermal boundary layers at the top plate follow the same scaling law with${\textit {Ra}}$and show minor dependences on${\textit {St}}$. The volume-averaged temperature and convective flux exhibit non-monotonic variations as${\textit {St}}$increases and reach their minimums at intermediate${\textit {St}}$. The fraction coefficient of heat flux, i.e. the ratio between the heat flux through the bottom plate and the total flux through both plates, shares the similar dependence on${\textit {St}}$as the convective flux. The relation between these scaling laws can be explained by using the global balance between the dissipation and convective flux. The scaling laws for the transition between different flow regimes are also proposed and agree with the numerical results. The preferential concentration of particles is observed for all cases and is strongest at intermediate Stokes numbers, for which multiscale clustering emerges with small clusters forming larger ones.
Association between ultra-processed foods consumption and risk of non-alcoholic fatty liver disease: a population-based analysis of NHANES 2011–2018
Authors: Liu Zhening , Huang Hangkai , Zeng Yan , Chen Yishu , Xu Chengfu
Published: December 2022

An increasing number of studies have evaluated the association between ultra-processed foods (UPF) consumption and metabolic disorders. However, the association between UPF intake and non-alcoholic fatty liver disease (NAFLD) remains unclear. In this study, we analysed data from 6545 participants who were recruited in National Health and Nutrition Examination Surveys 2011–2018. UPF were defined in light of the NOVA food classification system and divided into quartiles based on its proportion of total weight intake. Complex logistic regression models were used to assess the association between UPF and NAFLD. Mediation analyses were conducted to reveal underlying mediators. We found that NAFLD patients consumed more UPF than controls (925·92 ± 18·08v. 812·70 ± 14·32 g/d,P< 0·001). Dietary intake of UPF (% weight) was negatively related to the Healthy Eating Index-2015 score (Spearmanr= −0·32,P< 0·001). In the multivariable model, the highest quartile compared with the lowest, the OR (95 % CI) were 1·83 (1·33, 2·53) for NAFLD (OR per 10 % increment: 1·15; 95 % CI: 1·09, 1·22;Pfor trend < 0·001) and 1·52 (1·12, 2·07) for insulin resistance (OR per 10 % increment: 1·11; 95 % CI: 1·05, 1·18;Pfor trend = 0·002). Mediation analyses revealed that poor diet quality, high saturated fat and refined grain intake partly mediated the association between UPF and NAFLD. In conclusion, high UPF intake was associated with an increased risk of NAFLD in US adults. Further prospective studies are needed to verify these findings.
An Herb for Speaking to The Dead: The Liturgical and Magical Life of Hyssop in The Latin Middle Ages
Authors: Barbezat Michael
Published: December 2022

Magical practices have been described as a point of convergence for different pathways in medieval culture. This article examines one such convergence in the ritual use of hyssop in medieval Latin theology, liturgy, and a group of magical texts linked to the understudied Book of Raziel. In these magical texts, hyssop supposedly helped the living speak to the dead through its use as a tool for sprinkling liquid over a grave. The magical use of hyssop made sense because of its cultural and liturgical significance as a tool for aspersion and as a symbol of cleansing and exorcism. In the medieval Latin world, hyssop possessed a cultural power that individuals could use for a range of purposes. The different uses of hyssop illustrate the widespread entanglement of medieval liturgical and magical ritual, as well as high medieval processes of cross-cultural translation between the Arabic, Hebrew, Greek, and Latin worlds. Bygone and flamboyant methods of bringing voices from the past into the present also intersect in theme and function with the ongoing professional work of historians, who pursue their own affective necromancy in their desire for the past.
Efficacy of surgeon-performed, intra-operative ultrasound scan for localisation of parathyroid adenomas in patients with primary hyperparathyroidism
Authors: Habib A , Molena E , Snowden C , England J
Published: December 2022

Background

In the UK, guidance recommends ultrasound scanning alone or in combination with sestamibi scintigraphy to guide surgery in patients with primary hyperparathyroidism. If an adenoma is localised on imaging, this can facilitate targeted or minimally invasive surgery. Surgeon-performed ultrasound scan on the operating table benefits from being performed on an anaesthetised patient with optimal positioning. The aim of this study was to investigate the efficacy of intra-operative, blinded, surgeon-performed ultrasound scan in localisation of parathyroid adenomas.

Methods

Prospective data were collected on consecutive patients undergoing surgery for primary hyperparathyroidism at a single tertiary centre from November 2019 to June 2021. Patients underwent blinded, surgeon-performed ultrasound scan under general anaesthesia immediately prior to surgery. Localisation results from pre-operative imaging and surgeon-performed ultrasound scan were then compared with the intra-operative findings.

Results

Forty-nine patients underwent surgery and were found to have single-gland disease. Sestamibi scintigraphy, radiologist-performed ultrasound scan and surgeon-performed ultrasound scan had sensitivities of 59.4, 43.75 and 73.8 per cent, respectively. Surgeon-performed ultrasound scan had a statistically significantly increased sensitivity compared with radiologist-performed ultrasound (p< 0.05).

Conclusion

Intra-operative, surgeon-performed ultrasound scan is effective in localising parathyroid adenomas and may be a useful adjunct to facilitate minimally invasive parathyroid surgery.
Plasma image classification using cosine similarity constrained convolutional neural network
Authors: Falato Michael J. , Wolfe Bradley T. , Natan Tali M. , Zhang Xinhua , Marshall Ryan S. , Zhou Yi , Bellan Paul M. , Wang Zhehui
Published: December 2022

Plasma jets are widely investigated both in the laboratory and in nature. Astrophysical objects such as black holes, active galactic nuclei and young stellar objects commonly emit plasma jets in various forms. With the availability of data from plasma jet experiments resembling astrophysical plasma jets, classification of such data would potentially aid in not only investigating the underlying physics of the experiments but also the study of astrophysical jets. In this work we use deep learning to process all of the laboratory plasma images from the Caltech Spheromak Experiment spanning two decades. We found that cosine similarity can aid in feature selection, classify images through comparison of feature vector direction and be used as a loss function for the training of AlexNet for plasma image classification. We also develop a simple vector direction comparison algorithm for binary and multi-class classification. Using our algorithm we demonstrate 93 % accurate binary classification to distinguish unstable columns from stable columns and 92 % accurate five-way classification of a small, labelled data set which includes three classes corresponding to varying levels of kink instability.
The evolution of peace
Authors: Glowacki Luke
Published: December 2022

While some species have affiliative and even cooperative interactions between individuals of different social groups, humans are alone in having durable, positive-sum, interdependent relationships across unrelated social groups. Our capacity to have harmonious relationships that cross group boundaries is an important aspect of our species' success, allowing for the exchange of ideas, materials, and ultimately enabling cumulative cultural evolution. Knowledge about the conditions required for peaceful intergroup relationships is critical for understanding the success of our species and building a more peaceful world. How do humans create harmonious relationships across group boundaries and when did this capacity emerge in the human lineage? Answering these questions involves considering the costs and benefits of intergroup cooperation and aggression, for oneself, one's group, and one's neighbor. Taking a game theoretical perspective provides new insights into the difficulties of removing the threat of war and reveals an ironic logic to peace – the factors that enable peace also facilitate the increased scale and destructiveness of conflict. In what follows, I explore the conditions required for peace, why they are so difficult to achieve, and when we expect peace to have emerged in the human lineage. I argue that intergroup cooperation was an important component of human relationships and a selective force in our species history beginning at least 300 thousand years. But the preconditions for peace only emerged in the past 100 thousand years and likely coexisted with intermittent intergroup violence which would have also been an important and selective force in our species' history.
Petites Affaires: Pacotille Commerce and the Intimate Networks of Free Women of Colour in the Eighteenth-Century French Caribbean
Authors: Raapke Annika
Published: December 2022

This article looks at the specific early modern trade practice of the pacotille and at pacotille commercial networks, particularly of free women of colour, as a means of approaching female trade knowledge and intimate networks in the ancien régime Caribbean colonies. Surviving documentation of this flexible commerce allows us to approach women of highly different backgrounds as knowledgeable and skilled agents within the socioeconomic framework of eighteenth-century global trade, who combined their knowledge of the male-dominated trading spheres with their own intimate networks in highly profitable ways. This essay explores not only what these women knew about long-distance trade, but also how they used their local expertise (e.g., of time regimes, landscape, and people) as well as their intimate networks for personal gain in the eighteenth-century French colonial worlds.
The estimation of environmental and genetic parental influences
Authors: Balbona Jared V. , Kim Yongkang , Keller Matthew C.
Published: December 2022

Parents share half of their genes with their children, but they also share background social factors and actively help shape their child’s environment – making it difficult to disentangle genetic and environmental causes of parent–offspring similarity. While adoption and extended twin family designs have been extremely useful for distinguishing genetic and nongenetic parental influences, these designs entail stringent assumptions about phenotypic similarity between relatives and require samples that are difficult to collect and therefore are typically small and not publicly shared. Here, we describe these traditional designs, as well as modern approaches that use large, publicly available genome-wide data sets to estimate parental effects. We focus in particular on an approach we recently developed, structural equation modeling (SEM)-polygenic score (PGS), that instantiates the logic of modern PGS-based methods within the flexible SEM framework used in traditional designs. Genetically informative designs such as SEM-PGS rely on different and, in some cases, less rigid assumptions than traditional approaches; thus, they allow researchers to capitalize on new data sources and answer questions that could not previously be investigated. We believe that SEM-PGS and similar approaches can lead to improved insight into how nature and nurture combine to create the incredible diversity underlying human behavior.
Young mother risk-taking moderates doula home visiting impacts on parenting and toddler social-emotional development
Authors: Edwards Renee C. , Hans Sydney L.
Published: December 2022

This longitudinal randomized controlled trial examined the impact of a doula home visiting intervention for young, low-income mothers on parenting and toddler social-emotional development and tested whether intervention effects were moderated by maternal emotional and behavioral health characteristics. 156 mothers were offered home visits from a home visitor starting in mid-pregnancy through several years postpartum, with a community doula also working with the mother during pregnancy and after the birth. 156 received case management. Interviews, video recordings of mother-child interactions, and toddler assessments were conducted at 3 weeks, 3 months, 13 months, and 30 months of age. Intent-to-treat analyses conducted with the full sample showed some intervention effects. Moderation analyses, however, showed that most effects were concentrated among mothers engaged in high levels of risk-taking (delinquent behaviors, school suspensions, smoking, alcohol use, sexual risk-taking). Among higher risk-taking mothers, the intervention was related to less intrusiveness during early infancy, less psychological and physical aggression during toddlerhood, more sensitive parenting attitudes, and greater toddler social relatedness. Maternal depressive symptoms were only a moderator for toddler behavior problems. These findings suggest that doula home visiting may be a particularly effective model for enhancing sensitive, non-aggressive parenting among young mothers with a history of risk-taking behavior.
Classics education in Northern Irish primary schools; curriculum policy and classroom practice
Authors: Taylor Amber , Holmes-Henderson Arlene , Jones Sharon
Published: December 2022

This study explores the perspectives of teachers and pupils regarding the benefits and challenges of teaching Classics in primary classrooms in Northern Ireland (NI). Conducted in 2020, the methodological approach consisted of interviews with six teachers from three schools and a focus group held with eight children.1 The study identified positive impacts of teaching Classics on numerous subjects, including Modern Foreign Languages (MFL). The most pressing challenge appeared to be a crowded curriculum. Teachers and pupils suggested that training and support be offered to educators in order to optimise links between Latin, English literacy and MFL understanding. Finally, recommendations are made for the future study of Classics in Northern Ireland.
Neural Correlates of Cue Reactivity and the Regulation of Craving in Substance Use Disorders
Authors: Dieterich Raoul , Endrass Tanja
Published: December 2022

Abstract. Theoretical background: Considerable progress has been made in illuminating the neural basis of the compulsive use patterns characterizing substance use disorders. It has been suggested to utilize these findings to alleviate the health burden associated with substance use. Objective: We address how neuroimaging research can provide these benefits. Methods: Based on neurobiological models of addiction, we highlight neuroimaging research elucidating neural predictors of relapse and how treatments modify these markers. Results: With the focus on cue reactivity, brain activity related to the motivational salience of drugs and automatized use behaviors can predict relapse. Cue reactivity changes with abstinence, and it remains to be determined whether such changes confer periods of critical relapse susceptibility. Conclusions: Several established and emerging interventions modulate brain activity associated with drug value. However, executive deficits in addiction may compromise interventions targeting control-related prefrontal brain areas. Lastly, it remains more difficult to change the brain responses mediating habitual behaviors.
Evaluating an Abbreviated Version of the Circumplex Team Scan Inventory of Within-Team Interpersonal Norms
Authors: Locke Kenneth D. , Martin Chris C.
Published: December 2022

Abstract: The Circumplex Team Scan (CTS) assesses the degree to which a team’s interaction/communication norms reflect each segment (16th) of the interpersonal circle/circumplex. We developed and evaluated an abbreviated 16-item CTS-16 that uses one CTS item to measure each segment. Undergraduates ( n = 446) completing engineering course projects in 139 teams completed the CTS-16. CTS-16 items showed a good fit to confirmatory structural models (e.g., that expect greater positive covariation between items theoretically closer to the circumplex). Individuals’ ratings sufficiently reflected team-level norms to justify averaging team members’ ratings. However, individual items’ marginal reliabilities suggest using the CTS-16 to assess general circumplex-wide patterns rather than specific segments. CTS-16 ratings correlated with respondents’ and their teammates’ ratings of team climate (inclusion, justice, psychological safety). Teams with more extraverted (introverted) members were perceived as having more confident/engaged (timid/hesitant) cultures. Members predisposed to social alienation perceived their team’s culture as relatively disrespectful/unengaged, but their teammates did not corroborate those perceptions. The results overall support the validity and utility of the CTS-16 and of an interpersonal circumplex model of team culture more generally.
Temporal Relationships Between Saharan Dust Proxies, Climate, and Meningitis in Senegal
Authors: Yarber Aara’L. Y. , Jenkins Gregory S. , Singh Ajit , Diokhane Aminata
Published: December 2022

The Harmattan, a dry, northeasterly trade wind, transports large quantities of Saharan dust over the Sahelian region during the dry season (December–March). Studies have shown that bacterial meningitis outbreaks in Sahelian regions show hyper‐endemic to endemic levels during high‐dust months. We examine the (a) seasonality and intraseasonal variability of dust, climate, and meningitis and the (b) quantitative relationships between various dust proxies with meningitis lags of 0–10 weeks in Senegal from 2012 to 2017. The results show that the onset of the meningitis season occurs in February, roughly 2 months after the dusty season has begun. The meningitis season peaks at the beginning of April, when northeasterly wind speeds and particulate matter (PM) are relatively high, and the meningitis season ends near the end of June, when temperature and humidity rise and northeasterly wind speeds decline. Furthermore, we find that Senegal's relatively high humidity year‐round may help slow the transmission of the infection, contributing to a lower disease incidence than landlocked countries in the meningitis belt. Lastly, our results suggest the desert dust may have a significant impact on the onset to the peak of the meningitis season in Senegal, particularly at the 0–2 and 10‐week lag, whether that be directly through biological processes or indirectly through changes in human behavior. PM and visibility, however, are not in phase with aerosol optical depth throughout the year and consequently show different relationships with meningitis. This study further exemplifies the critical need for more PM, meteorological, and meningitis measurements in West Africa to further resolve these relationships.