bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Motives Behind the Adoption of Climate Change Adaptation Strategies among Farmers in the Czech Republic
Authors: Muench Steffen , Čechura Lukáš , Bavorova Miroslava 
Published: November 2024

AbstractClimate change threatens agriculture in the EU and is a primary issue discussed in the European Green Deal within the Common Agricultural Policy. Central and Eastern European countries are particularly prone to climate change effects, such as droughts and extreme weather. Therefore, agriculture in Central and Eastern Europe is expected to be increasingly affected by shifting climatic patterns. This study examines the motivation for adopting adaptation strategies derived from climate-smart agriculture among farmers in the Czech Republic. We drew particular attention to analyzing the influence of farm-level and information source variables on the adaptation behavior of Czech farmers. The dataset comprises 358 respondents who were asked about climate change adaptation through a quantitative survey. We analyzed the collected data via descriptive statistics and binary logit regression models. The analysis results reveal a high degree of awareness and a diversified usage of climate change adaptation strategies among the respondents. The close linkage between perceived profitability and the willingness to adapt to climate change requires policymakers to communicate economic benefits within this context further. Information sources, such as topic-specific journals, research institutions, and field training, positively influenced the adaptation rates among the sample. Therefore, we recommend focusing on these media channels to communicate targets set within the European Green Deal.
« La France est mon sort et ma destinée » : l’œuvre de l’écrivain, journaliste et traducteur André Adorján
Authors: Tüskés Anna 
Published: November 2024

AbstractAndré Adorján (1883, Szombathely, Hongrie–1966, Eaubonne, France) était un traducteur et journaliste à succès qui, ayant vécu à Paris sans interruption à partir de 1919, était bien intégré dans les cercles intellectuels français. Il est, avec Ladislas Gara, celui qui a le plus contribué à faire découvrir la littérature hongroise en France entre les années 1920 et la fin des années 1940. Il a ainsi promu la littérature hongroise contemporaine grâce à ses traductions de pièces de théâtre hongroises et aux articles et extraits de traduction qu’il a publiés dans des journaux français. Membre à la fois de l’Institut de retraite des journalistes hongrois et du Syndicat des journalistes français, il a gardé sa double nationalité jusqu’à sa mort. Les recherches sur la littérature hongroise, la presse et l’histoire locale n’ont jusqu’à présent porté que sur la phase hongroise de l’œuvre d’Adorján, jusqu’à la fin de la Première Guerre mondiale. Dans mon étude, je présenterai sa vie, son travail d’écrivain, de journaliste, de traducteur et d’éditeur, et j’analyserai ses activités de promotion de la littérature hongroise ainsi que la correspondance qui m’est parvenue. Adorján n’a pas laissé d’héritage littéraire connu, mais quelque trois cents de ses lettres sont conservées dans divers fonds d’archives. Les documents le concernant pour la première moitié du XXe siècle ne sont que sporadiquement disponibles, mais ses lettres écrites à des écrivains et journalistes entre 1947 et 1966 peuvent être lues comme un roman épistolaire.
Production of phenolic compounds, flavonoids, and lupeol by Lycium schweinfurthii suspension cultures in shake flasks and a rocking-motion bioreactor
Authors: Mamdouh Diaa , Neubauer Peter , Junne Stefan , Smetanska Iryna 
Published: November 2024

AbstractLycium schweinfurthii, a wild shrub of the Solanaceae family, has received increasing attention in the last decade for its therapeutic potential in traditional medicine due to its diverse array of secondary metabolites, including phenolic substances and terpenoids. The aim of this study was to investigate the accumulation of phenolics, flavonoids, and the terpenoid lupeol in L. schweinfurthii cell suspension shake flask cultures and a single-use 2-dimensional rocking motion bioreactor. Three different media formulations were compared for in vitro cell cultures. Various parameters, such as biomass accumulation, settled cell volume, cell viability (assessed via a 2,3,5-triphenyl tetrazolium chloride assay), and sucrose consumption were determined as indicators of cell activity and growth. Total phenolic and flavonoid contents were estimated spectrophotometrically, lupeol was quantified via High-Performance Thin Layer Chromatography (HPTLC). Although a higher fresh biomass concentration of 464 g L− 1 was obtained in MS medium supplemented with a combination of each, 1 mg L− 1 of 2,4-Dichlorophenoxyacetic acid (2,4-D) and 1-Naphthaleneacetic acid (NAA), the rocking-motion bioreactor cultivation was performed with 2 mg L− 1 NAA due to its superior reproducibility in viability, productivity, and content of bioactive compounds (e.g., phenolics, flavonoids, lupeol). A final fresh biomass concentration of 185 g L− 1 was achieved in a 16 L cultivation scale with a notable increase in the concentration of phenolics (1.4-fold) and flavonoids (1.7-fold). Most importantly, the concentration of lupeol, a pentacyclic triterpenoid known for its anti-inflammatory, antibacterial, and anti-atherogenic properties, exhibited a remarkable 5.5-fold increase in the bioreactor cultivation (585 µg g− 1) compared to shake flask cultivations (106 µg g− 1). The current study demonstrated the profound impact of media composition and non-limited fed-batch conditions in a rocking-motion bioreactor on the accumulation of bioactive compounds. The findings are also relevant to other plant cell cultures.
Milk production and composition in warm-climate regions: a systematic review and meta-analysis
Authors: Rashid Mohamed , Aboshady Hadeer M. , Agamy Rania , Archimede Harry 
Published: November 2024

AbstractMilk production is a key component of the agriculture sector in the tropics and subtropics, contributing 47.32% to global milk production. This study aimed to quantify milk production and composition (fat and protein) in warm-climate regions located between 30 degrees north and south of the equator. A meta-analysis was conducted using the standardized mean (SM) for milk production, fat percentage, and protein percentage, all adjusted for dry matter intake (DMI), focusing on lactating ruminants. A total of 42, 11, 15, and 16 research papers were selected for cows, buffalo, sheep, and goats, respectively, encompassing 2421 animal records from experiments published between 1992 and 2024. The SM for milk production was 10.38, 9.77, 0.79, and 1.13 kg/day/animal for cows, buffalo, sheep, and goats, respectively. Due to the significant variance between different cow breeds, the study divided the cows into three main groups based on breed type crossbreds, foreign, and local breeds. The SM for milk production per animal was 11.49 kg/day for crossbreds, 22.95 kg/day for foreign breeds, and 7.13 kg/day for local breeds. The effect of DMI on the SM of milk production for cows, sheep, and goats was highly significant. For milk fat, the SM was 3.95, 6.64, 4.70, and 3.56% for cows, buffalo, sheep, and goats, respectively. Regarding milk protein, the SM was 3.36, 3.91, 4.34, and 3.45% for cows, buffalo, sheep, and goats, respectively. The results of this meta-analysis highlight that warm-climate regions are significant contributors to global dairy production. Furthermore, improving ruminant milk production and quality in hot climates need further efforts.
Discontinuity-Induced Dynamics in the Conductance-Based Adaptive Exponential Integrate-and-Fire Model
Authors: Desroches Mathieu , Kowalczyk Piotr , Rodrigues Serafim 
Published: November 2024

AbstractIn this article, we present a computational study of the Conductance-Based Adaptive Exponential (CAdEx) integrate-and-fire neuronal model, focusing on its multiple timescale nature, and on how it shapes its main dynamical regimes. In particular, we show that the spiking and so-called delayed bursting regimes of the model are triggered by discontinuity-induced bifurcations that are directly related to the multiple-timescale aspect of the model, and are mediated by canard solutions. By means of a numerical bifurcation analysis of the model, using the software package coco, we can precisely describe the mechanisms behind these dynamical scenarios. Spike-increment transitions are revealed. These transitions are accompanied by a fold and a period-doubling bifurcation, and are organised in parameter space along an isola periodic solutions with resets. Finally, we also unveil the presence of a homoclinic bifurcation terminating a canard explosion which, together with the presence of resets, organises the delayed bursting regime of the model.
Formation process of cover collapse sinkholes related to groundwater level decline in karst areas
Authors: Liu Xingzong , Chen Hongkai , Gong Bin , Jiang Guanghui , Wang Jintao 
Published: November 2024

AbstractThe decline in groundwater level is a key factor contributing to cover collapse in karst areas. In this study, the model tests and numerical simulations are conducted to reveal the breeding process and formation mechanism of cover collapse sinkholes caused by the decline of groundwater level in karst area. Firstly, the model tests confirm that the decline of groundwater level generates negative pressure at the lower edge of overlying soil. The negative pressure experiences four distinct phases during the groundwater drawdown process: rapid rise, slow decline, rapid decline, and gradual dissipation. The maximum negative pressure is influenced by the particle size distribution of the overlying soil. Then, the numerical simulations are carried out to investigate the change process of negative pressure caused by the loss of fillers in karst pipe. The simulated results indicate that the rate of groundwater decline and the thickness and initial void ratio of the overlying soil can affect the maximum negative pressure. As groundwater level drops, a negative pressure zone forms underground, causing tensile failure in the surrounding soil and creating an arched soil hole, which weakens the support for the overlying soil. This phenomenon can also lead to the collapse of the overlying soil under its self-weight. Groundwater table decline in karst areas can result in both internal and surface collapses. When the overlying soil is thin, internal and surface collapses occur simultaneously. In contrast, for thick overlying soil, internal collapse happens first, followed by a layer-by-layer collapse, ultimately forming sinkholes. Finally, the breeding process and formation mechanism of the Yujiawan Reservoir sinkholes are discussed. Geological conditions and groundwater level decline significantly affect internal collapse in karst areas, requiring careful consideration from on-site engineers.
Development of Four Component Scattering Power Decomposition Technique for Dual Polarization SAR Data
Authors: Rajat  , Avtar Ram 
Published: November 2024

AbstractThe increasing availability of dual-polarimetric synthetic aperture radar (PolSAR) data has led to a significant rise in its applications over the past few decades. Model-based decompositions combined with polarimetric information extraction from PolSAR data play a crucial role in target identification and classification. In this context, the covariance matrix [C], composed of four independent parameters, was used as the input for dual-pol four-component scattering power decomposition (DP-4SD). A novel 4SD model was tested using dual polarimetric SAR data from the spaceborne ALOS-2/PALSAR-2, and its performance was evaluated against existing scattering power decomposition methods. The performance of the proposed 4SD model was assessed using dual-polarization data from the Haldwani Forest and San Francisco to evaluate its classification capabilities within a single class (forest) and across various land use and land cover classes in San Francisco. The overall classification accuracy achieved was 85.69% for the Haldwani forest and 93.66% for San Francisco, with fewer unclassified samples compared with the existing model. The 4SD model demonstrates superior classification accuracy and enhances the interpretation of polarimetric information, indicating its potential to significantly improve land-use and land-cover mapping using dual PolSAR data.
Remote side-channel analysis of the loop PUF using a TDC-based voltage sensor
Authors: Probst Matthias , Tebelmann Lars , Wettermann Moritz , Pehl Michael 
Published: November 2024

AbstractFPGAs promise significant performance improvements for several computations in cloud applications. However, their shared use in multi-tenant scenarios makes them susceptible to attacks. Different from classical scenarios, where the attacker has hardware access to the device, in cloud scenarios the attack is possible only from remote. As a consequence remote SCA attacks gained increasing attention in the last years. These attacks exploit that attacker and victim share with the same FPGA also the same PDN so that operation-dependent voltage fluctuations caused by the victim’s IP are observable by a voltage sensor of the attacker. While previous attacks in this domain focused on cryptographic algorithms, this work provides insights in an attack on a PUF primitive, the Loop PUF. This primitive is an interesting target for the attack since it might be used, e.g., for storing or deriving secret keys on a remote FPGA. We introduce and discuss the setup of such a remote SCA using a TDC-based voltage sensor. With this sensor, we compare the performance of classical and remote SCA attacks on the Loop PUF using two different Artix-7 FPGA and demonstrate and discuss findings regarding sampling frequency and placement. This work extends and deepens the analysis from a previously published analysis at the ASHES Workshop 2022. In particular, it provides insights into the influence of repeated measurements, measurement time, and usage of multiple TDCs on the attack performance. It also discusses the applicability of the attack to further RO-based PUF primitives. Overall the results show that remote SCA attacks on PUFs in a multi-tenant FPGA scenario have to be considered as a severe attack vector in the future.
Case report. Fungal balls, een zeldzame oorzaak van urosepsis
Authors: Kamphorst Kyara , Schrier Bart Ph. 
Published: November 2024

Samenvatting
Deze patiëntbespreking betreft een patiënt met een zeldzame oorzaak van urosepsis, fungal balls. Nadat orale antifungale therapie niet hielp werd besloten intravesicale en intra-ureterale antifungale therapie te starten met amfotericine B‑spoelingen en later anidulafunginespoelingen. Bij geen verbetering werd besloten tot een robotgeassisteerde pyelo- en cystotomie, waarbij de fungal balls succesvol in toto werden verwijderd.
Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain
Authors: Zhou Ziyuan , Guo Ying , Chen Dan , Li Kaiwei , Wang Rui , Wei Xiao , Zhang Jiquan , Zhao Chunli , Tong Zhijun , Liu Xingpeng 
Published: November 2024

AbstractDue to global climate anomalies, the intensity and spatial extent of weather and climate extremes have increased notably. Therefore, extreme events must be studied to ensure agricultural production. In this study, the growing season accumulated temperature above 10 °C (GSAT10) was used as the climate regionalization index for maize in the Songliao Plain region, and the study area was divided into three climate zones. The standardized precipitation requirement index (SPRI) and standardized temperature index (STI) were introduced to analyze the spatial and temporal patterns of drought, waterlogging, and heat during the maize growing season from May to September using meteorological station data from the Songliao Plain between 1991 and 2020. The compound event magnitude indices were constructed by modeling the marginal distribution to detect the patterns of compound drought and heat events (CDHEs) and compound waterlogging and heat events (CWHEs), and to assess their potential impacts on maize production. The results show that: (1) The major meteorological disasters in the Songliao Plain region were drought and heat. The areas with prolonged high temperatures were similar to the areas with higher severity of temperature extremes, and were mainly concentrated in the central and southern parts of the study area (Zone 3). (2) The CWHEs mainly occurred in the northern part of the study area (Zones 1 and 2), and the CDHEs predominantly occurred in the central and southern parts of the study area. (3) For most sites on the Songliao Plain, the duration, severity, and intensity of compound extreme events were positively correlated with relative meteorological yield (Yw). Maize yield reduction was significantly affected by the CDHEs.
Phycoremediation of industrial wastewater: review of algae consortia
Authors: Walters C. , Steyn M. , Ndlela L. , Nocanda X. , Moloi M. , Oberholster P. 
Published: November 2024

AbstractIndustrialisation, population growth, and concomitant demand for fresh water have immensely impacted water quality and scarcity. In particular, wastewater generated from industries generally produces high amounts of nutrients, heavy metals, and chemicals that degrade the environment. Several algal species have been studied and utilized for their role in the treatment of various types of wastewater. Conventional wastewater treatment options are often expensive and energy-demanding, and generally ineffective at completely removing contaminants. Conversely, phycoremediation technology is an emerging green approach used to remove various types of pollutants from the environment while producing valuable compounds. Compared to conventional methods, phycoremediation presents as an eco-friendly and economically attractive alternative. This paper serves as a review of an algal-based treatment technology in wastewater remediation for industry, describing the most common microalgal consortia used for this purpose. Phycoremediation challenges and strategies to urgently accelerate steps towards achieving a clean and safe environment are presented, while examples of applications in industries are also provided.
Meta-analysis of predictors of healthcare-associated Clostridioides difficile infection
Authors: Fajnzylber Jesse , Patterson William M. , Nero Neil , Hernandez Adrian V. , Deshpande Abhishek 
Published: November 2024

Abstract
Our systematic review and meta-analysis of 40 studies (n = 3,905,559) identified gastric acid suppressants, recent hospitalization, antibiotic exposure, and certain comorbidities as independent predictors of healthcare-associated Clostridioides difficile infection (HA-CDI) among adult inpatients. Targeted antibiotic stewardship and judicious use of gastric acid suppressants can reduce the incidence of HA-CDI.
F. H. Bradley's Feeling as Hegelian Phenomenology
Authors: Barbour Kyle 
Published: November 2024

Abstract
In this essay, I argue for a reinterpretation of F. H. Bradley's theory of feeling based on the underemphasized influence of Hegel's phenomenology on Bradley's philosophy. While traditional interpretations of Bradleyan feeling often understand it to have strong metaphysical connotations, I argue that such interpretations result in an important distortion of the overall structure of Bradley's thought. Contra the metaphysical interpretation, I argue that Bradley's account of feeling can only be properly understood by interpreting his theory in light of his own explicit attributions of the theory to Hegel. By taking Bradley at his word that feeling truly is derived from Hegel, I argue that we are better able to understand the overall structure of Bradley's thought and the way in which he belongs to the neo-Hegelian tradition of philosophy. Through explaining the debt that Bradley owes to Hegel regarding feeling, an important source of disagreement between Bradley and Hegel will become apparent, namely, the ability for feeling to be subsumed within thought, thereby differentiating Bradley's and Hegel's ultimate characterizations of reality.
WeedScan, a weed reporting system for Australia using an image classification model for identification
Authors: Schmidt-Lebuhn Alexander N. , Bell Matt , Eckelmann Carsten , Evans Dane , Glanznig Andreas , Li Rongxin , Mitchell Andrew , Mitchell-Storey Tomas , Newton Michael , O’Duibhir Liam , Southerton Richard , Thomas Emily , Wu Hanwen 
Published: November 2024

AbstractFast and efficient identification is critical for reducing the likelihood of weed establishment and for appropriately managing established weeds. Traditional identification tools require either knowledge of technical morphological terminology or time-consuming image matching by the user. In recent years, deep learning computer vision models have become mature enough to enable automatic identification. The major remaining bottlenecks are the availability of a sufficient number of high-quality, reliably identified training images and the user-friendly, mobile operationalization of the technology. Here, we present the first weed identification and reporting app and website for all of Australia. It includes an image classification model covering more than 400 species of weeds and some Australian native relatives, with a focus on emerging biosecurity threats and spreading weeds that can still be eradicated or contained. It links the user to additional information provided by state and territory governments, flags species that are locally reportable or notifiable, and allows the creation of observation records in a central database. State and local weed officers can create notification profiles to be alerted of relevant weed observations in their area. We discuss the background of the WeedScan project, the approach taken in design and software development, the photo library used for training the WeedScan image classifier, the model itself and its accuracy, and technical challenges and how these were overcome.
The Impact of Interior Immigration Enforcement on the Lives of Undocumented Immigrants
Authors: Wong Tom K. , Shklyan Karina 
Published: November 2024

AbstractHow does interior immigration enforcement affect how undocumented immigrants describe their interactions with state and societal institutions? Although there is some evidence that points to a broad range of chilling effects that result when local law enforcement officials work with U.S. Immigration and Customs Enforcement (ICE) on federal immigration enforcement, there is no systematic study that collectively examines the impacts that may result with such enforcement efforts. We situate our paper as evidence of the homeland security state and show how contemporary interior immigration enforcement subjugates undocumented immigrants in nearly all facets of their interactions with state and societal institutions. To illustrate this, we embedded an experiment in a survey (n = 594) drawn from a probability-based sample of undocumented immigrants. When respondents are told that local law enforcement officials are working with ICE on federal immigration enforcement, they report that they would be less likely to report crimes they witness or are victims of to the police, use public services that require them to disclose their personal contact information, do business that requires them to disclose their personal contact information, and participate in public events where the police may be present, among other main findings.