bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hot topics in butterfly research: Current knowledge and gaps in understanding of the impacts of temperature on butterflies
Authors: Ashe‐Jepson Esme , Bru Elisabeth , Connell Eleanor , Dixit Mahika K. , Hargrave Jack , Lavitt Tate , Lam Miranda , Prosser Rosa , Roberts Benjamin J. , Thompson Bradley , Bladon Andrew J. , Turner Edgar C. 
Published: December 2023

Abstract
As small poikilotherms, insects are largely dependent on their environment for thermoregulation and so are particularly vulnerable to changing temperatures.
Butterflies are a well‐studied group often used as models to investigate insect responses to temperature. However, little has been done to synthesise and present this large volume of literature in an accessible format, particularly with reference to knowledge gaps and areas rich in information. Using a systematic mapping method, we synthesised the last 40 years of research on the topic of butterfly responses to temperature.
We identified and coded 451 research papers, in which butterfly species were studied 3198 times. We identified taxonomic groups, regions and experimental designs that were well or poorly represented.
We found that there was a relatively good balance of representation across butterfly families in relation to the number of species within each family. The tropics were less frequently studied than temperate regions, and there were more studies reporting outcomes on adults than at any other life stage. Finally, in situ studies were more common than ex situ studies.
Taken together, the higher representation of certain regions, life stages and approaches could lead to an incomplete understanding of the impacts of temperature on butterflies, potentially resulting in ill‐informed decisions.
We make suggestions for how to resolve these discrepancies in representation, including calling for an increased focus on the tropics, the establishment of butterfly monitoring schemes in the global south, a greater focus on the effects of temperature on non‐adult life stages, an increase in experiments investigating fluctuating thermal regimes and the incorporation of more behavioural responses to temperature in future research. Only by addressing these disparities can we gain a complete understanding of how butterflies will respond to climate change.
Optimizing raw material composition to increase sustainability in porcelain tile production: A simulation‐based approach
Authors: Alves Carine Lourenco , Skorych Vasyl , De Noni Agenor , Hotza Dachamir , González S. Y. Gómez , Heinrich Stefan 
Published: December 2023

AbstractReducing the environmental impact of porcelain tile production while maintaining cost‐effectiveness is challenging. This work introduced a novel modeling approach for optimizing a standard composition range comprising kaolinite (15–38 wt.%), illite (0–20 wt.%), quartz (20–40 wt.%), and feldspar (20–45 wt.%) to establish a robust composition interval for porcelain stoneware tiles. The proposed study considers several factors, such as composition impact on the manufacturing sequence, production costs, and CO2 emission. A flowsheet simulation database was generated by coupling the Dyssol framework with MATLAB. This study investigated the influence of raw material composition within the process sequence, the total CO2 emissions, and production costs within the contexts of Spain and Brazil, two of the top five global producers. Granules with a higher proportion of talc and illite exhibit reduced moisture content after spray drying, and these combinations have lower green body porosity after compaction. The addition of talc allowed for decreased porosity content after compaction reduced firing temperature, and lowered costs and CO2 emissions despite the higher prices associated with talc. The proposed simulation methodology offers a powerful decision‐making tool for optimizing raw material composition to minimize cost and CO2 emissions in the porcelain tile production. This methodology represents an early stride toward integrating digital twin methodologies within the ceramic tile sector, facilitating improved process regulation, and promoting the adoption of digital technologies.
Gross Worker Flows over the Life Cycle
Authors: CAJNER TOMAZ , GÜNER İLHAN , MUKOYAMA TOSHIHIKO 
Published: December 2023

AbstractWe analyze the gross worker flows over the life cycle by constructing a quantitative general equilibrium model. Using U.S. data, we first document the life‐cycle patterns of flows across different labor market states (employment, unemployment, and not in the labor force), as well as job‐to‐job transitions. We then build a model of the aggregate labor market that incorporates the life cycle of workers, consumption‐saving decisions, and labor market frictions. We estimate the model and use it to examine the effects of policies on aggregate labor market outcomes. In particular, we analyze a taxes‐and‐transfers policy and an unemployment insurance policy.
Forbearance versus Foreclosure in a General Equilibrium Model
Authors: BARBARO BIANCA , TIRELLI PATRIZIO 
Published: December 2023

AbstractIn a business cycle model with endogenous firms' dynamics and debt renegotiation, we show that during financial crises loan forbearance does not harm the economy unless banks imperfectly monitor loans, and loan opacity worsens banks' moral hazard problem. Aggressive interest rate reductions and quantitative easing limit defaults and financial crisis‐induced output contractions without hampering the entry of new firm entries. The decline in the natural interest rate, due to slower productivity growth and persistent liquidity shocks, potentially explains the observed long‐term trend in nonperforming loan shares.
Association between a maternal vegetarian diet during pregnancy and the occurrence of atopic dermatitis in children
Authors: Su Yi‐Chun , Xie Jia‐Shan , Jan Rong‐Hwa , Hsieh Chia‐Jung 
Published: December 2023

AbstractBackgroundAtopic dermatitis (AD) is rising globally, with genetics and environmental factors both playing crucial roles. Dietary habits during pregnancy are linked to children's allergic disease risk. However, limited studies have explored the association between maternal vegetarian diets during pregnancy and child AD. Therefore, this study aimed to examine the relationship between maternal vegetarian diets during pregnancy and the occurrence of AD in children.MethodsIn this study, the Taiwan Birth Cohort Study (TBCS) database was used, comprising a representative national birth cohort of infants born in Taiwan in 2005. Of 24,200 mother–child pairs in the database, 20,172 completed face‐to‐face interviews at 6 and 18 months. Employing a 1:10 matching strategy based on maternal age, education level, and child sex, 408 mothers who followed a vegetarian diet during pregnancy were matched with 4080 nonvegetarian mothers. This resulted in a final dataset of 4488 subjects. Logistic regression was used to explore the association between maternal vegetarian diets during pregnancy and the occurrence of AD in children.ResultsAmong the TBCS participants, there were 292 (1.8%) mothers who adhered to lacto‐ovo vegetarianism and 116 (0.7%) mothers who adhered to veganism, totaling 408 (2.4%) vegetarians during pregnancy. Compared to children of nonvegetarian mothers, children of mothers who followed a vegetarian diet during pregnancy showed a lower risk of developing AD before 18 months of age (OR = 0.65, 95% CI = 0.45–0.93, p = 0.018).ConclusionThis study suggests that a vegetarian diet during pregnancy may lower the risk of AD in children. It is essential to carry out long‐term follow‐up to fully understand the impact of a mother's diet on allergic conditions.
Potential of UV‐B radiation in drought stress resilience: A multidimensional approach to plant adaptation and future implications
Authors: Shoaib Noman , Pan Kaiwen , Mughal Nishbah , Raza Ali , Liu Liling , Zhang Juan , Wu Xiaogang , Sun Xiaoming , Zhang Lin , Pan Zhifen 
Published: December 2023

AbstractThe escalating impact of climate change and ultraviolet (UV) radiation is subjecting plants to unique combinations of UV‐B and drought stress. These combined stressors could have additive, synergistic, or antagonistic effects, but the precise nature of these impacts remains uncertain, hampering our ability to predict plant adaptations approach towards stressors. Our analysis of various studies shows that UV‐B or drought conditions detrimentally influence plant growth and health metrics by the enhanced generation of reactive oxygen species causing damage to lipids, proteins, carbohydrates and DNA. Further reducing biomass accumulation, plant height, photosynthetic efficiency, leaf area, and water transpiration, while enhancing stress‐related symptoms. In response to UV‐B radiation and drought stress, plants exhibit a notable up‐regulation of specific acclimation‐associated metabolites, including proline, flavonoids, anthocyanins, unsaturated fatty acids, and antioxidants. These metabolites play a pivotal role in conferring protection against environmental stresses. Their biosynthesis and functional roles are potentially modulated by signalling molecules such as hydrogen peroxide, abscisic acid, jasmonic acid, salicylic acid, and ethylene, all of which have associated genetic markers that further elucidate their involvement in stress response pathways. In comparison to single stress, the combination of UV‐B and drought induces the plant defence responses and growth retardation which are less‐than‐additive. This sub‐additive response, consistent across different study environments, suggests the possibility of a cross‐resistance mechanism. Our outlines imply that the adverse effects of increased drought and UV‐B could potentially be mitigated by cross‐talk between UV‐B and drought regimes utilizing a multidimensional approach. This crucial insight could contribute significantly to refining our understanding of stress tolerance in the face of ongoing global climate change.
From Representation to Sabotage: The New Practices of Russian Antiwar Groups
Authors: Aizman Ania 
Published: December 2023

AbstractSince February 24, 2022, new oppositional groups—Feminist Antiwar Resistance (FAR), Stop the Wagons, Combat Organization of Anarcho‐Communists (BOAK), the Russian Freedom Legion, and others—have emerged in Russia. Politically, they range from socialist and anarchist to nationalist or fascist, and in their visual media present a range of anonymous protest subjectivities, from the young feminist female artist to the Molotov cocktail‐throwing anarchist to the army defector. Differences notwithstanding, antiwar groups resemble one another in their use of anonymity and sabotage, departing from the culture of the prewar Russian opposition to Putin. The new antiwar groups seek to demonstrate the existence of a broad decentralized movement, but one that continues, rather than disrupts, historical narratives. This article pays special attention to narratives produced by “railway partisans” currently operating in Russia and Belarus, analyzing how they challenge, through tactic as well as rhetoric, their regimes’ uses of World War II history for state‐building myths. I find that antiwar activists claim that sabotage, vandalism, and other forms of material damage represent continuity—rather than break or rupture—with historic forms of grassroots resistance.
Neural Network-Based Region Tracking Control for a Flexible-Joint Robot Manipulator
Authors: Yu Jinwei , Wu Mengyang , Ji Jinchen , Yang Weihua 
Published: December 2023

Abstract
The present paper proposes a neural network-based adaptive region-tracking control strategy for a flexible-joint robot manipulator subjected to region constraints. The developed neural network-based control strategy can globally stabilize the robot manipulator and cope with model uncertainties and the external unknown bounded disturbances. Different from the existing literature, by using the sliding mode technology and the singular perturbation theory, the developed control strategy does not require the high-order derivatives of the link states such as jerk and acceleration since the high-order derivative information is not always available in practical applications. By using Lyapunov stability theory, it is proved that the proposed neural network-based control strategy can guarantee that all the parameter variables in the closed-loop system are bounded, and the flexible-joint robot manipulator with unknown dynamics can reach inside the dynamic region and also maintain the velocity matching with the desired moving region. Since the assumption of linearization of the unknown dynamic parameters is removed, the proposed control strategy does not require the calculation of the complex regression matrix. Therefore, the proposed method has great robustness and the ability of model generalization. Simulations are given to demonstrate the validity of the proposed control strategy.
Multistable States and Snap-Through Instabilities in an Interconnected Dielectric Elastomer Actuators System
Authors: Patra Sanjeet , Mahapatra Shreesh , Godaba Hareesh 
Published: December 2023

Abstract
Snap-through instabilities in single and interconnected dielectric elastomer actuators have demonstrated their potential in enabling many functionalities such as large deformation, high-speed actuation, and enhanced flowrates in fluid pumps. However, the nonlinear nature of dielectric elastomers and the complex interplay of mechanics in interconnected inflated actuators, make the modeling of such systems challenging. In this paper, we present a methodology to analytically model the instabilities in a system of three interconnected homogeneous spherical dielectric elastomer actuators through graphical and numerical approaches. The simulation results reveal the presence of a locus of initial stable states that the interconnected actuators can achieve at zero voltage. In specific loading conditions, the system exhibits multiple stable states which can be cyclically transitioned between by selectively applying voltage to specific actuators. In other conditions, the system may undergo two successive instabilities when the voltage applied to a single actuator in the system is increased monotonically. These results retrieve existing experimental results theoretically for the first time and identify a new behavior of cascading instabilities in inflated dielectric elastomer actuators. We hope this work will pave the way for programmable design of multistable systems to unravel new capabilities in dielectric elastomer actuators and soft robotics.
Pressure Sensitive Paint and Large Eddy Simulation Investigation on the Impact of Trench Depth on Flat Plate Film Cooling Through Shaped Holes
Authors: Abdeh H. , Barigozzi G. , Zamiri A. , Chung J. T. 
Published: December 2023

Abstract
To increase film cooling effectiveness levels downstream of film cooling holes, trenches manufactured in the thermal barrier coating can be adopted. The performance of this solution depends on the trench geometrical characteristics, namely its depth and width. A large eddy simulation (LES)-based numerical study has been performed at Korea University to investigate the effects of trench configuration on thermal protection, resulting in a 22% increase in cooling performance compared to the reference case without a trench. The present paper reports the results of an experimental investigation carried out at Bergamo University on a Plexiglass flat plate model with a set of three fan-shaped holes incorporated into an existing wind tunnel, replicating the numerical setup. Pressure-sensitive paint (PSP) technique was used to measure the adiabatic film cooling effectiveness. Besides the standard shaped hole case, the best and worst trench configurations coming from a DoE approach have been examined at various coolant to mainstream blowing ratios M in the range between 0.5 and 3. Cases at M = 1.5 were used to cross-check the prediction capability of the LES numerical simulation for the selected trenched cases. PSP and LES results are in good agreement, also with the literature data. The high depth/low width trench was shown to give an improved performance for M larger than 1.
Drive Layout Configuration Strategy and Scale Optimization Design of Multi-Drive Mode Parallel Mechanism
Authors: Han Ming , Xiong Bin , Liu Jinyue , Yang Dong , Li Tiejun 
Published: December 2023

Abstract
Aiming at the inherent defects of single-drive mode parallel mechanisms, such as small good workspace and many singular configurations, a new multi-drive mode parallel mechanism is proposed from the perspective of driving innovation. Taking the planar 6R parallel mechanism as an example, the driving layout configuration strategy and scale optimization design are studied. First, the potential driving layout of the mechanism is analyzed, and the inverse kinematics model of the mechanism is established. Then, based on the motion/force transmission index, the singular space and good transmission workspace of the mechanism are identified, and the mechanism-driven layout configuration strategy is formulated to complete the performance comparison analysis. Finally, based on the performance map method, the scale optimization design of the mechanism is carried out, the prototype is developed and manufactured, and the experimental verification is carried out. The research results show that the multi-drive mode parallel mechanism can improve its kinematic performance without changing the topological structure and scale parameters of the mechanism.
Safety and feasibility of intra-arterial delivery of teniposide to high grade gliomas after blood–brain barrier disruption: a case series
Authors: Ruan Jian , Shi You , Luo Pengren , Li Lin , Huang Jiashang , Chen Jie , Yang Haifeng 
Published: December 2023

BackgroundThis case series describes the safety and efficacy of superselective intra-arterial (IA) cerebral infusion of teniposide for the treatment of patients with glioma, to provide new ideas and methods for the treatment of high grade gliomas.Methods12 patients with glioma who were previously treated with standard therapy were treated with superselective IA cerebral infusion of teniposide. Patients received at least two cycles of treatment (one cycle: 150 mg/time, used for 1 day, repeated at 28 day intervals) after blood–brain barrier disruption. Patients received individualized treatment on the tumor location. The ophthalmic artery was bypassed during the super-selective arterial infusion.ResultsNo significant differences in biochemical indexes and Karnofsky performance status (KPS) score were observed before and after treatment, and no evident adverse events occurred (P>0.05). In a recent response evaluation (August 2023), two (8%) patients presented with a complete response (16.7%), four had a partial response (33.3%), four had stable disease (33.3%), and two showed progressive disease (16.7%). The overall response rate and disease control rate were 50.0% and 83.3%, respectively. In addition, we described the detailed course of treatment in two patients. Case No 1 (recurrent tumor) and case No 2 (primary tumor) received six and three cycles of teniposide infusion, respectively. After treatment, the tumors of the patients were significantly reduced without evident adverse effects.ConclusionThis small series suggests that superselective IA cerebral infusion of teniposide may be a safe and effective therapy in the multimodal treatment of malignant glioma and warrants further study in larger prospective investigations.
Lipid vesicle pools studied by passive X-ray microrheology
Authors: Czajka Titus , Neuhaus Charlotte , Alfken Jette , Stammer Moritz , Chushkin Yuriy , Pontoni Diego , Hoffmann Christian , Milovanovic Dragomir , Salditt Tim 
Published: December 2023

AbstractVesicle pools can form by attractive interaction in a solution, mediated by proteins or divalent ions such as calcium. The pools, which are alternatively also denoted as vesicle clusters, form by liquid-liquid phase separation (LLPS) from an initially homogeneous solution. Due to the short range liquid-like order of vesicles in the pool or cluster, the vesicle-rich phase can also be regarded as a condensate, and one would like to better understand not only the structure of these systems, but also their dynamics. The diffusion of vesicles, in particular, is expected to change when vesicles are arrested in a pool. Here we investigate whether passive microrheology based on X-ray photon correlation spectroscopy (XPCS) is a suitable tool to study model systems of artificial lipid vesicles exhibiting LLPS, and more generally also other heterogeneous biomolecular fluids. We show that by adding highly scattering tracer particles to the solution, valuable information on the single vesicle as well as collective dynamics can be inferred. While the correlation functions reveal freely diffusing tracer particles in solutions at low CaCl$$_{2}$$2concentrations, the relaxation rate$$\Gamma (q)$$Γ(q)shows a nonlinear dependence on$$q^2$$q2at a higher concentration of around 8 mM CaCl$$_{2}$$2, characterised by two linear regimes with a broad cross-over. We explain this finding based on arrested diffusion in percolating vesicle clusters.Graphic Abstract
Ioanna Kuçuradi: The Ideal of Turkish Modernity in Turkish Philosophical Humanism
Authors: Direk Zeynep 
Published: December 2023

Abstract
In 20th century philosophical anthropology and value theory in the Turkish philosophical scene have been philosophical buttresses of Turkish modernity. Inspired by Nicolai Hartmann and Max Scheler, Turkish philosopher Takiyettin Mengüşoğlu and his pupil Ioanna Kuçuradi created an academic tradition, which I call “Turkish Philosophical Humanism.” Turkish philosophical humanism stresses that to conserve the value of human being the constitutional law must be made in such a way that citizens can flourish as persons. In this framework I reflect on Ionna Kuçuradi’s academic and political engagement by taking into account her gender, ethnic and religious differences, differences in terms of which she did not describe or present herself. I am interested in the political ordeals she went through as she lived through the political pressures on academia in Turkey and her reflection on her own experience in terms of her personalism and value theory.