External Processes Research Articles

Review on Influence of Food Technology on the Flavor of Dairy Product

In contemporary society, people's demand for milk and dairy products is growing rapidly, and people's quality requirements for dairy products are gradually increasing. Currently, most research on dairy products focuses on nutritional composition, taste, and flavor. However, research into the changes in external and internal factors and processing and storage technology caused by flavor changes in dairy products is limited and immature. This paper comprehensively discusses the origin of flavor substances in milk and dairy products, the chemical changes caused by compounds affecting flavor, and the influence of temperature and humidity on flavor.

The interplay of mutagenesis and ecDNA shapes urothelial cancer evolution

Advanced urothelial cancer is a frequently lethal disease characterized by marked genetic heterogeneity1. In this study, we investigated the evolution of genomic signatures caused by endogenous and external mutagenic processes and their interplay with complex structural variants (SVs). We superimposed mutational signatures and phylogenetic analyses of matched serial tumours from patients with urothelial cancer to define the evolutionary dynamics of these processes. We show that APOBEC3-induced mutations are clonal and early, whereas chemotherapy induces mutational bursts of hundreds of late subclonal mutations. Using a genome graph computational tool2, we observed frequent high copy-number circular amplicons characteristic of extrachromosomal DNA (ecDNA)-forming SVs. We characterized the distinct temporal patterns of APOBEC3-induced and chemotherapy-induced mutations within ecDNA-forming SVs, gaining new insights into the timing of these mutagenic processes relative to ecDNA biogenesis. We discovered that most CCND1 amplifications in urothelial cancer arise within circular ecDNA-forming SVs. ecDNA-forming SVs persisted and increased in complexity, incorporating additional DNA segments and contributing to the evolution of treatment resistance. Oxford Nanopore Technologies long-read whole-genome sequencing followed by de novo assembly mapped out CCND1 ecDNA structure. Experimental modelling of CCND1 ecDNA confirmed its role as a driver of treatment resistance. Our findings define fundamental mechanisms that drive urothelial cancer evolution and have important therapeutic implications.

Thermo-controlled microfluidic generation of monodisperse alginate microspheres based on external gelation.

Droplet-based microfluidic systems have received much attention as promising tools for fabricating monodisperse microspheres of alginate solutions with high accuracy and reproducibility. The immediate and simple ionotropic gelation of alginate, its biocompatibility, and its tunability of mechanical properties make it a favorable hydrogel in the biomedical and tissue engineering fields. In these fields, micron-sized alginate hydrogel spheres have shown high potential as cell vehicles and drug delivery systems. Although on-chip microfluidic gelation of the produced alginate droplets is common, several challenges remain. Complicated chemical and microfabrication processes are required, and the risk of microchannel clogging is high. In the current study, we present an easy-to-use microfluidic external gelation process to produce highly spherical and monodisperse microspheres from very low-concentrated alginate-RGD solution [0.5% (w/v)]. To accomplish this, gelatin, a thermo-sensitive and inexpensive biomaterial, was incorporated into the alginate solution as a sacrificial biomaterial that mediates the off-chip external gelation of the alginate with Ca2+, and avoids droplet coalescence. Utilizing the methodology mentioned above, we successfully generated monodisperse alginate microspheres (AMs) with diameters ranging from 27 μm to 46 μm, with a coefficient of variation of 0.14, from a mixture of Arg-Gly-Asp (RGD)-modified very low viscosity alginate and gelatin. These RGD-AMs were used as microcarriers for human umbilical vein endothelial cells. The described easy-to-use and cost-effective microfluidic off-chip external gelation strategy exhibits comparable advantages to on-chip external gelation and demonstrates superiority over the latter since clogging is impossible.

Deficient salience and default mode functional integration in high worry-proneness subject: a connectome-wide association study.

Worry has been conceptualized as a relatively uncontrollable chain of thought that increases the risk of mental problems, such as anxiety disorders. Here, we examined the link between individual variation in the functional connectome and worry proneness, which remains unclear. A total of 32 high worry-proneness (HWP) subjects and 25 low worry-proneness (LWP) subjects were recruited. We conducted multivariate distance-based matrix regression to identify phenotypic relationships in high-dimensional brain resting-state functional connectivity data from HWP subjects. Multiple hub regions, including key brain nodes of the salience network (SN) and default mode network (DMN), were identified in HWP subjects. Follow-up analyses revealed that a high worry-proneness score was dominated by functional connectivity between the SN and the DMN. Moreover, HWP subjects showed hypoconnectivity between the cerebellum and the SN and DMN compared with LWP subjects. This cross-sectional study could not fully measure the causal relationships between changes in functional networks and worry proneness in healthy subjects. Functional changes in the cerebellum-cortical region might affect the modulation of external stimuli processing. Together, our results provide new insight into the role of key networks, including the SN, DMN and cerebellum, in understanding the potential mechanism underlying the high worry dimension in healthy subjects.

Learning, sharing and caring: Pedagogical features of parents’ educational activism

Scholars of social movements have afforded increasing attention in recent years to pedagogical processes and practices within activist organisations. This article contributes to the ‘pedagogical turn’ in social movement studies by exploring pedagogical features of parents’ educational activism. Drawing on qualitative data collected from parent-led campaign groups operating in England, UK, the article attends to three aspects of activist pedagogy evident within the campaigns. The first concerns the learning that occurs through engaging in activism. The second, internal and external processes of knowledge-sharing. And third, parents’ perceptions of the educative potential of activism as a means for imparting democratic values to their children. I argue that the pedagogical dimension is a central feature of parents’ activism. Indeed, such activism constitutes itself a form of civic education in which democratic values and ideals are transmitted from one generation to another.

Intelligent System for Artillery Mount Autonomous Guidance And Firing Adjustment

The article presents mathematical models, numerical algorithms and a software package for an intelligent system for artillery mount autonomous guidance and adjustment of firing. The software package includes the following components: a module for solving the direct problem of external ballistics, a neural network training module, and a firing guidance and adjustment module. The first module is designed to form a database of computational experiments by repeatedly solving the direct problem of external ballistics under varying firing conditions. In the second module, a neural network is trained to solve the inverse problem of external ballistics using the database generated from computational experiments. The third module implements algorithms for calculating the artillery mount launching angles on a target using a trained neural network and calculating corrections to launching angles based on data on the projectile impact point deviation from the target. Having received data on the artillery mount readiness to fire, the coordinates of the target position and projectile’s impact point received from a digital observer, the software package calculates the necessary launching angles or corrections to them. Launching angles are transferred via text files to the control system of the artillery mount drives, then a shot is fired and the conditions for hitting the target are assessed. The algorithm is then repeated for the next shot or new target. Testing of the developed algorithms for autonomous guidance and shooting correction was carried out using modeling of external ballistics processes in the software package, as well as carrying out experimental testing on a working simulation device of an artillery mount. The developed software package allows visualization of the obtained results and saving the history of the performed operations.

Crafting Combinations to Govern Groundwater: Knowledge, Motivation, and Agency

Groundwater is a vital common pool resource for water supply, irrigation, and ecosystems, but can be difficult to govern due to invisibility, conflicting interests, and limitations of available institutions. While there are many policy and technical instruments (tools) available, efforts to apply them are often ineffective. This special issue of the International Journal of the Commons presents a set of papers with insights into policy instruments and other methods for groundwater governance. The relevance and effectiveness of tools and combinations of tools (toolboxes) in addressing problems that emerge from groundwater use is related to how they fit with diverse physical and social contexts. Drawing on research and applied experience, including that presented in this issue, we outline a conceptual framework for groundwater governance that emphasizes attention not just to knowledge, but also to motivations, and to agency for effective coordination among key actors. Articles in the special issue analyze groundwater governance in areas of Africa (east, south, and north), Central Asia, India, and the United States. The articles cover a range of scales from small groups playing experiential games to international agreements about transboundary aquifers. Several papers illustrate the crucial role of knowledge about groundwater, and the need for governance instruments and interventions to go beyond only changing knowledge. Three papers focus on groundwater games and their use to understand and change behavior, especially when combined with other tools that facilitate collective deliberation and action. Several papers illustrate how understanding of the ways people care about and practice care for groundwater illuminates examples and capabilities for groundwater governance. Highlights There are many institutional tools for governing groundwater, but no panaceas, and successes are rare Effective groundwater governance requires that key stakeholders have combinations of knowledge, motivation, and agency to act together effectively Groundwater co-management can combine stakeholders’ knowledge, values, and collective action with external science, resources, and authority Participatory processes can craft combinations of tools to fit contexts and pursue shared gains

EMhub: a web platform for data management and on-the-fly processing in scientific facilities.

Most scientific facilities produce large amounts of heterogeneous data at a rapid pace. Managing users, instruments, reports and invoices presents additional challenges. To address these challenges, EMhub, a web platform designed to support the daily operations and record-keeping of a scientific facility, has been introduced. EMhub enables the easy management of user information, instruments, bookings and projects. The application was initially developed to meet the needs of a cryoEM facility, but its functionality and adaptability have proven to be broad enough to be extended to other data-generating centers. The expansion ofEMHub is enabled by the modular nature of its core functionalities. The application allows external processes to be connected via a REST API, automating tasks such as folder creation, user and password generation, and theexecution of real-time data-processing pipelines. EMhub has been used for several years at the Swedish National CryoEM Facility and has been installed in the CryoEM center at the Structural Biology Department at St. Jude Children's Research Hospital. A fully automated single-particle pipeline has been implemented for on-the-fly data processing and analysis. At St. Jude, the X-Ray Crystallography Center and the Single-Molecule Imaging Center have already expanded the platform to support their operational and data-management workflows.

Positive and Negative Retinotopic Codes in the Human Hippocampus.

The hippocampus is thought to coordinate sensory-mnemonic information streams in the brain, representing both the apex of the visual processing hierarchy and the central hub of mnemonic processing. Yet, the mechanisms underlying sensory-mnemonic interactions in the hippocampus are poorly understood. Recent work in cortex suggests that a retinotopic code - typically thought to be exclusive to visual areas - may help organize internal and external information at the cortical apex via opponent interactions. Here, we leverage high-resolution 7T functional MRI to test whether a bivalent retinotopic code structures activity within the human hippocampus and mediates hippocampal-cortical interactions. In seven densely-sampled individuals, we defined the retinotopic preferences of individual voxels within the hippocampus and cortex during a visual mapping task, as well as their functional connectivity during independent runs of resting-state fixation. Our findings reveal a robust retinotopic code in the hippocampus, characterized by stable population receptive fields (pRFs) with consistent preferred visual field locations across experimental runs. Notably, this retinotopic code is comprised of roughly equal proportions of positive and negative pRFs, aligning with the hypothesized role of negative pRFs in mnemonic processing. Finally, the signed amplitude of hippocampal pRFs predicts functional connectivity between retinotopic hippocampal and cortical voxels. Taken together, these results suggest that retinotopic coding may scaffold internal mnemonic and external sensory information processing within the hippocampus, and across hippocampal-cortical interactions.

The Contactful Quad: An Effective Tool for Working With Trauma

The purpose of this paper is to explore the potential and development of the drama triangle, the winner’s triangle, and the trauma quadrangle in trauma work and to offer a tool to help identify the roles/patterns replayed when caught in drama. This fosters moving into a more active (winner’s) space and retaining a more integrated position. The authors draw on trauma-informed practices and transactional analysis (TA). They propose that the bystander position in response to trauma can be both an internal and external process. As a tool for working with developmental trauma, the authors offer the contactful quad, which through empowerment and witness aims to support the process of decontamination and deconfusion, to aid the healing process, and to support integration of the unresolved somatic experience of trauma responses. Using clinical vignettes, the authors demonstrate the power of the Actively Courageous position of the contactful quad as an antidote to the Bystander position.

Study in Gas-Phase Agglomeration Characteristics of Spiral Flow Gas-Liquid Multiphase Pump

Abstract The spiral flow gas-liquid mixed transport pump experiences gas phase accumulation in the impeller flow passage, leading to blockage and a decrease in pumping performance. To understand the rules and mechanisms of gas phase aggregation in the spiral flow gas-liquid mixed transport pump, numerical calculations based on the Eulerian multiphase flow model and SST k – ω turbulent flow model were conducted. The effects of different gas volume fractions, speeds, and liquid phase viscosities on the pump were explored, and the external characteristics, flow characteristics, and gas phase aggregation processes in the impeller were analysed for these three variables. The results indicate that the head and efficiency of the pump gradually decrease with increasing gas volume fraction and liquid phase viscosity, while they increase with increasing speed. When the liquid phase viscosity changes from pure water to 50 times its viscosity, the gas phase aggregation at the impeller outlet decreases, resulting in reduced pressure and a smaller vortex region. The relative gas phase aggregation degree λ decreases from 0.5 to almost 0. When the gas volume fraction increases from 20% to 60%, the gas phase aggregation at the impeller outlet increases, the pressure difference between the impeller hub and the rim increases, and the vortex region expands, leading to an increase in λ by 8 times. When the speed increases from 3000 rpm to 5000 rpm, the gas phase aggregation at the impeller outlet increases, the pressure increases, and the vortex region expands, resulting in a 16-fold increase in λ.

Understanding Children’s Learning of Part–Whole Relations Using Fingu

AbstractIn this article, we investigate the effects of the app Fingu on a child’s understanding of the part-whole concept. Using the Artifact Centric Activity Theory framework, we initially analyse the internalisation and externalisation processes that appear to occur during one child’s use of the app. Based on the learning from this process, we then use other aspects of the framework, in particular the subject-artifact-group triangle, to understand how Fingu might be used productively in mathematics education classrooms. Using a 13-min video of a child playing Fingu as our data source, we analyse how children might, as they learn about part-whole relationships, interact with the game. We also investigate how design principles in creating apps can impact on the experience of using the app in ways that may be unintended by their designers. This work has implications for app designers and for mathematics educators seeking to incorporate digital technologies into mathematics education.

Optimizing the order picking and delivery process to the final recipient

The aim of this study is to analyse and evaluate the order picking process and the transport of products to customers, taking into account the specific characteristics and potential of small and medium-sized industrial enterprises. Scientific standards and selected indicators for measuring the efficiency and quality of transport and order picking processes were used to achieve the intended objectives. The research was conducted in a small, family-owned manufacturing and trading company specialising in the production and sale of wrought iron finishing elements and fences. The analysis covered both internal and external transport processes. It was shown that the order picking process in the studied company is largely based on manual procedures, which, despite high precision, generates time-consuming activities related to the movement of warehouse employees. External transport efficiency indicators showed high efficiency and appropriate use of transport resources. The high quality of deliveries, as measured by on-time and reliability indicators, confirms customer satisfaction. The study was conducted in one company, which is a limitation. Future studies should include more companies from the same sector. Proposed improvements need to be verified sometime after implementation and solutions resulting from data analysis can help SMEs in similar industries to improve their logistics processes. The work brings a new approach to the analysis of order picking and transport processes in the context of SMEs, providing practical solutions and indicating areas for further research. It is aimed at logistics managers, researchers and practitioners interested in optimising logistics processes in the industrial sector.

Greener analysis of eleven basic drugs in blood and urine using carbowax 20M based biofluid sampler (BFS) device

For the first time, a novel biofluid sampler (BFS) and sample preparation device is applied for the analysis of 11 basic drugs (i.e., pheniramine, chlorpheniramine, fluoxetine, tramadol, amitriptyline, ketamine, diazepam, chlordiazepoxide, clozapine, chlorpromazine, dothiepin) in biological matrices (i.e., blood and urine). BFS utilizes advanced, highly effective sorbents derived from sol-gel sorbent coating technology onto cellulose fabric substrate, improving sample collection and retention. BFS has the capability to retain a biological sample from 10 to 1000 µL without requiring any dilution or pre-treatment of the sample. The biological samples were pipetted onto the BFS device and dried at room temperature. Subsequently, adsorbed analytes were back-extracted into 1000 µL of methanol without requiring any imposed external diffusion process and then analyzed by gas chromatography-mass spectrometry (GC-MS). A one-factor-at-a-time (OFAT) screening procedure was used to extensively screen and optimize several parameters, including sample volume, elution time, solvent volume, and solvent type. Under the optimal conditions of the study, the method was found to be linear within the range 0.1–10 µg mL−1 for both blood and urine. Quantification limits were established for blood samples within the range of 0.072–0.095 μg mL−1 and for urine samples within the range of 0.050–0.069 μg mL−1. The precisions within and between days were less than 7% and 10%, respectively. The target analytes showed good recoveries utilizing the recommended protocol, with ranges of 45.1%–103.4%. Furthermore, the methodology has been effectively implemented in forensic toxicology case work. Moreover, the green characteristics and applicability of the suggested methodology was evaluated using softwares i.e., AGREE and BAGI.

Physics-informed neural networks for biopharmaceutical cultivation processes: Consideration of varying process parameter settings.

We present a new modeling approach for the study and prediction of important process outcomes of biotechnological cultivation processes under the influence of process parameter variations. Our model is based on physics-informed neural networks (PINNs) in combination with kinetic growth equations. Using Taylor series, multivariate external process parameter variations for important variables such as temperature, seeding cell density and feeding rates can be integrated into the corresponding kinetic rates and the governing growth equations. In addition to previous approaches, PINNs also allow continuous and differentiable functions as predictions for the process outcomes. Accordingly, our results show that PINNs in combination with Taylor-series expansions for kinetic growth equations provide a very high prediction accuracy for important process variables such as cell densities and concentrations as well as a detailed study of individual and combined parameter influences. Furthermore, the proposed approach can also be used to evaluate the outcomes of new parameter variations and combinations, which enables a saving of experiments in combination with a model-driven optimization study of the design space.

How Does Digital Transformation Moderate Green Culture, Job Satisfaction, and Competitive Advantage in Sustainable Hotels?

Target groups within an organization adopt its culture, reflecting it in all internal and external business processes. Adopting a green organizational culture in hotels with sustainability certificates plays an important role in reshaping business processes by developing sustainability awareness among employees. Digital transformation, which facilitates corporate culture and business processes, plays a role in employee job satisfaction while also supporting environmental, social, and economic sustainability. This research aims to determine the relationship between green organizational culture, job satisfaction, and competitive advantage variables and to examine the moderating role of digital transformation on these relationships. The data-collecting techniques of choice were surveys and semi-structured interviews. While Amos software (Version 24) was used to test the hypothetical model in the analysis of survey data, a Hayes Process macro was used to determine the moderating effect. The interview forms’ data was analyzed using a bag-of-words model. According to the research results, there is a positive relationship between the participation, consistency, and adaptability sub-dimensions of green organizational culture and job satisfaction, while there is no significant relationship between the mission sub-dimension and job satisfaction. Furthermore, the study reveals the moderating role of digital transformation in the effect of job satisfaction on competitive advantage.

Limitations and Challenges of Antioxidant Therapy.

Our bodies are constantly exposed to or producing free radicals nearly on a daily basis. These highly reactive molecules are generated through a variety of internal and external processes and pathways within the body. If these free radicals are not neutralized by antioxidants, they can lead to a state of oxidative stress, which has been linked to a wide range of severe and debilitating disorders affecting various systems in the human body. This involves neurodegenerative diseases, diabetes, atherosclerosis, fatty liver, inflammation, and aging. Thankfully, the human body is armed with a repertoire of powerful antioxidants with different natures and modes of action. The recent decades witnessed the publication of enormous papers proving antioxidant activity of a novel synthesized compound, plant extract, or a purified drug in vitro, in vivo, and even on human beings. However, the efficacy of antioxidant therapies in clinical trials, including selenium, vitamin C, vitamin E, and vitamin A, has been notably inconsistent. This inconsistency can be primarily ascribed to different factors related to the nature of free radical generation, purpose and the specific type of therapy employed, and the intricate oxidative stress connected network, among others. Collectively, these factors will be explored in this review article to decipher the observed shortcomings in the application of antioxidant therapies within clinical settings.

How Does the Ocean Melt Antarctic Ice Shelves?

The present-day state and future of the Antarctic Ice Sheet depend on the rate at which the ocean melts its fringing ice shelves. Ocean heat must cross many physical and dynamical barriers to melt ice shelves, with the last of these being the ice-ocean boundary layer. This review summarizes the current understanding of ice-ocean boundary-layer dynamics, focusing on recent progress from laboratory experiments, turbulence-resolving numerical simulations, novel observations, and the application to large-scale simulations. The complex interplay between buoyant meltwater and external processes such as current shear leads to the emergence of several melting regimes that we describe, as well as freezing processes. The remaining challenges include developing new parameterizations for large-scale ice-ocean models based on recent advances and understanding the coevolution of melt and basal topography.

Optoelectronic synapses with chemical-electric behaviors in gallium nitride semiconductors for biorealistic neuromorphic functionality

Optoelectronic synapses, leveraging the integration of classic photo-electric effect with synaptic plasticity, are emerging as building blocks for artificial vision and photonic neuromorphic computing. However, the fundamental working principles of most optoelectronic synapses mainly rely on physical behaviors while missing chemical-electric synaptic processes critical for mimicking biorealistic neuromorphic functionality. Herein, we report a photoelectrochemical synaptic device based on p-AlGaN/n-GaN semiconductor nanowires to incorporate chemical-electric synaptic behaviors into optoelectronic synapses, demonstrating unparalleled dual-modal plasticity and chemically-regulated neuromorphic functions through the interplay of internal photo-electric and external electrolyte-mediated chemical-electric processes. Electrical modulation by implementing closed or open-circuit enables switching of optoelectronic synaptic operation between short-term and long-term plasticity. Furthermore, inspired by transmembrane receptors that connect extracellular and intracellular events, synaptic responses can also be effectively amplified by applying chemical modifications to nanowire surfaces, which tune external and internal charge behaviors. Notably, under varied external electrolyte environments (ion/molecule species and concentrations), our device successfully mimics chemically-regulated synaptic activities and emulates intricate oxidative stress-induced biological phenomena. Essentially, we demonstrate that through the nanowire photoelectrochemical synapse configuration, optoelectronic synapses can be incorporated with chemical-electric behaviors to bridge the gap between classic optoelectronic synapses and biological synapses, providing a promising platform for multifunctional neuromorphic applications.

Determining the optimal environmental information for training computational models of lexical semantics and lexical organization.

Experiential theories of cognition propose that the external environment shapes cognitive processing, shifting emphasis from internal mechanisms to the learning of environmental structure. Computational modelling, particularly distributional models of lexical semantics (e.g., Landauer & Dumais, 1997) and models of lexical organization (e.g., Johns, 2021a), exemplifies this, highlights the influence of language experience on cognitive representations. While these models have been successful, comparatively less attention has been paid to the training materials used to train these models. Recent research has explored the role of social/communicatively oriented training materials on models of lexical semantics and organization (Johns, 2021a, 2021b, 2023, 2024), introducing discourse- and user-centred text training materials. However, determining the optimal training materials for these two model types remains an open question. This article addresses this problem by using experiential optimization (Johns, Jones, & Mewhort, 2019), which selects the materials that maximize model performance. This study will use experiential optimization to compare user-based and discourse-based corpora in optimizing models of lexical organization and semantics, offering insight into pathways towards integrating cognitive models in these areas. (PsycInfo Database Record (c) 2024 APA, all rights reserved).