Pastoral Criticism, Structural Collaboration: The Role of Ecclesial Power Structures in Modernization and Economic Individualization

This article analyzes the complex processes of modernization and individualization, as well as how the church has structurally fostered individualization despite its public criticism. First, the article demonstrates how modernization and individualization have gradually restructured human self-understanding into an economic image of humanity: the human person as homo oeconomicus. Second, this article examines the church's relation to modernity, and specifically its critiques of liberalism and economic individualism. However, the church has often generated the conditions and structures for individualization, and by extension the processes of acceleration and economization of the life-world that it criticizes. Three areas in intra-ecclesial discourse that foster individualization are examined: the interiorization of faith, ecclesial centralization and clerical bureaucracy, and the promotion of corporatism and digital immediacy. The article concludes by examining recent papal efforts at structural reform and the degree to which they address previously entrenched problems and point toward a renewed, non-economic anthropology.

The Problem of Defining Local Self-Government as a Key Actor of a Unified System of Public Power and Admininstration (Analysis of the Problem Field)

The analysis of the problem field is a serious problem from the methodological and methodical point of view. The solution of this problem becomes particularly difficult in cases when the object under study is characterized by a high level of structural and process diversity, has a dynamic character, i. e. it is constantly evolving, and exists in many variants with the presence of the invariant enshrined in international acts and legislation of most states. The end of the last century was a period of rethinking of many concepts that define the complex processes of political and social interaction of various levels and elements of the system of power and public administration in Russia. The adoption of the Constitution of the Russian Federation in 1993 put forward fundamental problems that needed to be solved to move the country along the path of democratization, build a market economy and form an effective governing system. Article 12 of the first chapter establishes the autonomy of local self-government as an institution, guarantees its protection from excessive state influence. This provision reflects the global trend of consolidating the right to local self-government in democratic states. However, the European Charter of Local Self-Government includes a provision on the independence of local self-government in resolving issues of local significance only within the framework of state legislation, i. e. it establishes its subordinate nature. The latter provision automatically makes local self-government part of the unified system of public power and public administration, which is reflected in the corresponding amendment to Ch. 8 of the Constitution of the Russian Federation “Local self-government” in 2020. This makes t relevant he problem of the local authorities ‘ own powers, the division of functions between them and state authorities to achieve the fundamental goal of the modern state — to ensure an optimal uniform quality of life throughout the territory. The purpose of the article is to characterize the problem field in which the concepts of “public power” and “public administration” are defined and analysed in the context of considering local self-government as a key actor of both systems. The objectives of the research are to determine the boundaries of this problem field, its structure, as well as the difference in approaches to this problem in the works of Russian and foreign authors, including scientists from Central Asian countries.

Rational design yields molecular insights on leaf binding of the anchor peptide Macaque Histatin

In times of a constantly growing world population and increasing demand for food, sustainable agriculture is crucial. To reduce the amount of applied nutrients, herbicides, and fungicides, the rainfastness of plant protection agents is of pivotal importance. As a result of protective agent wash-off, plant protection is lost, and soils and groundwater are severely polluted. To date, rainfastness of plant protection products is achieved by adding polymeric adjuvants to the agrochemicals. However, polymeric adjuvants will be regarded as microplastics in the future, and environmentally friendly alternatives are needed. Anchor peptides (APs) are promising biobased and biodegradable adhesion promoters. While the adhesion of anchor peptides to artificial surfaces, such as polymers, has already been investigated in theory and experimentally, exploiting the adhesion to biological surfaces remains challenging. The complex nature and composition of biological surfaces such as plant leaf and fruit surfaces complicate the generation of accurate models. Here, we present the first detailed three-layered atomistic model of the surface of apple leaves and use it to compute free energy profiles of the adhesion and desorption of APs to and from that surface. Our model is validated by a novel fluorescence-based MTP assay that mimicks these complex processes and allows quantifying them. For the AP Macaque Histatin, we demonstrate that aromatic and positively charged amino acids are essential for binding to the waxy apple leaf surface. The established protocols should generally be applicable for tailoring the binding properties of APs to biological interfaces.

Reevaluating Constructivist Norm Theory: A Three-Dimensional Norms Research Program

Constructivist theories of norm dynamics offer a variety of analytical tools to understand the complex processes of norm emergence, diffusion, and evolution over time. As the literature has developed, though, it lacks a general framing of the interconnections between norms, norm clusters or configurations, and principles or “normativity.” This article advances a new three-dimensional model of constructivist theories of norms that emphasizes the spatial dimensions of norm meanings, legitimacy, and impact and identifies promising avenues for research progress. First, individual norms represent a primary intersubjective structural component that is both developed and contested. Second, theories of norm interrelations or norm clusters provide additional critical dimensions of structuration that may promote resiliency in the face of contestation. Third, norms exist within a larger constellation of norm structures, representing the broadest dimension in world politics. Collisions can occur in this environment, but broader normativity and institutionalization often become activated in the face of serious challenges. As demonstrated using the illustration of international responses to the Syrian civil war (2011 till present), only by attending to all three dimensions of norms can we gain a more accurate understanding of real-world circumstances of norm connections, norm collisions, and the variable effects of norm contestation. The article concludes by identifying promising research avenues building from the three-dimensional framework.

Sperm IZUMO1 Is Required for Binding Preceding Fusion With Oolemma in Mice and Rats

Fertilization occurs as the culmination of multi-step complex processes. First, mammalian spermatozoa undergo the acrosome reaction to become fusion-competent. Then, the acrosome-reacted spermatozoa penetrate the zona pellucida and adhere to and finally fuse with the egg plasma membrane. IZUMO1 is the first sperm protein proven to be essential for sperm-egg fusion in mammals, as Izumo1 knockout mouse spermatozoa adhere to but fail to fuse with the oolemma. However, the IZUMO1 function in other species remains largely unknown. Here, we generated Izumo1 knockout rats by CRISPR/Cas9 and found the male rats were infertile. Unlike in mice, Izumo1 knockout rat spermatozoa failed to bind to the oolemma. Further investigation revealed that the acrosome-intact sperm binding conceals a decreased number of the acrosome-reacted sperm bound to the oolemma in Izumo1 knockout mice. Of note, we could not see any apparent defects in the binding of the acrosome-reacted sperm to the oolemma in the mice lacking recently found fusion-indispensable genes, Fimp, Sof1, Spaca6, or Tmem95. Collectively, our data suggest that IZUMO1 is required for the sperm-oolemma binding prior to fusion at least in rat.

Using L2 interactional-pragmatic resources in CMC: A case of Japanese orthography and emoji

Increasingly prevalent use of technologies such as instant messaging and online chat has transformed our traditional ways of learning and teaching pragmatics. This study presents an example of such transformation by demonstrating how computer-mediated communication (CMC) may be employed as a tool to provide second language (L2) learners opportunities to use interactional resources specific to the context of CMC, namely unique orthography and emoji. For the study, we introduced four university-level learners of Japanese to a language exchange messaging application and recorded their online text-based chat interactions with native Japanese speakers over a period of 12 weeks. We followed up the chat data with weekly stimulated verbal recalls (SVR) to investigate L2 learners’ intentions and perceptions surrounding their own and others’ use of unique orthography and emoji (48 SVR sessions total; average 30 minutes per session). Coding and thematic analysis of the chat data revealed learners’ agentive use of orthography and emoji as resources for communication. In addition, the SVR data revealed a variety of personal and interpersonal reasons behind their use, including learners’ concerns over self-presentation, interpersonal relationships, identity, and discourse management. The findings not only demonstrate how CMC can afford learners a unique environment for experimenting with a range of context-appropriate interactional resources to convey pragmatic meaning, but also shed light on the various, sometimes competing, considerations and complex processes underlying learners’ pragmatic choices in CMC.

Stochastic Assessment of Groundwater Contamination Risks From Onshore Gas Development Using Computationally Efficient Analytical and Numerical Transport Models

Regulators require the gas industry to assess the risks of unintentional release of chemicals to the environment and implement measures to mitigate it. Industry standard models for contaminant transport in aquifers do not explicitly model processes in the unsaturated zone and groundwater models often require long run times to complete simulation of complex processes. We propose a stochastic numerical-analytical hybrid model to overcome these two shortcomings and demonstrate its application to assess the risks associated with onshore gas drilling in the Otway Basin, South Australia. The novel approach couples HYDRUS-1D to an analytical solution to model contaminant transport in the aquifer. Groundwater velocities and chemical trajectories were derived from a particle tracking analysis. The most influential parameters controlling solute delivery to the aquifer were the soil chemical degradation constant and the hydraulic conductivity of a throttle soil horizon. Only 18% of the flow paths intercepted environmental receptors within a 1-km radius from the source, 87% of which had concentrations of <1% of the source. The proposed methodology assesses the risk to environmental assets and informs regulators to implement measures that mitigate risk down to an acceptable level.

Design and Implementation of Image Edge Detection Algorithm on FPGA

Image processing is an important task in data processing systems for applications such as medical sectors, remote sensing, and microscopy tomography. Edge recognition is a sort of image division method that is used to simplify the image records so as to reduce the amount of data to be processed. Edges are considered the most important in image processing because they are used to characterize the boundaries of an image. The performance of the Canny edge recognition algorithm remarkably surpasses the present edge recognition technology in various computer visualization methods. The main drawback of using Canny edge boundary is that it consumes lot of period due to its complex computation. In order to tackle this problem a hybrid edge recognition method is proposed in block stage to locate edges with no loss. It employs the Sobel operator estimate method to calculate the value and direction of the gradient by substituting complex processes by hardware cost savings, traditional non-maximum suppression adaptive thresholding block organization, and conventional hysteresis thresholding. Pipeline was presented to lessen latency. The planned strategy is simulated using Xilinx ISE Design Suite14.2 running on a Xilinx Spartan-6 FPGA board. The synthesized architecture uses less hardware to detect edges and operates at maximum frequency of 935 MHz.

Sorption of Fulvic Acids and Their Compounds with Heavy Metal Ions on Clay Minerals

In real soils the interaction of humic substances with clay minerals often occurs with the participation of metal cations. The adsorption of fulvic acids (FA) solution and their solutions in the presence of heavy metal ions (Pb or Zn) on two clay minerals (kaolinite and bentonite) was investigated by measurement of the optical density changes in the of equilibrium solutions. The FA adsorption by bentonite at the concentrations 0.05–1 g/L proceeds according to the polymolecular mechanism and has a stepwise character. The adsorption of FA on kaolinite can be described by the mechanism of monomolecular adsorption. In three-component systems, including FA, trace element ions and a clay mineral, complex processes occur, including the formation of complexes and salts and their adsorption. The sorption of colored complexes of FA with Pb on the surface of kaolinite and bentonite increases with increasing metal concentrations (0.5–2 mmol/L). The interaction of the FA-Zn2+ compounds with bentonite is a more complicated process—adsorption takes place at the lowest concentration used only. Thus, binding of FA by clay minerals in the presence of metal cations is a complex phenomenon due to the chemical heterogeneity of FA, different properties of metals, characteristics of mineral surfaces and the variability of environmental conditions.

At a Glance: An Update on Neuroimaging and Retinal Imaging in Alzheimer’s Disease and Related Research

Neuroimaging serves a variety of purposes in Alzheimer’s disease (AD) and related dementias (ADRD) research - from measuring microscale neural activity at the subcellular level, to broad topological patterns seen across macroscale-brain networks, and everything in between. In vivo imaging provides insight into the brain’s structure, function, and molecular architecture across numerous scales of resolution; allowing examination of the morphological, functional, and pathological changes that occurs in patients across different AD stages (1). AD is a complex and potentially heterogenous disease, with no proven cure and no single risk factor to isolate and measure, whilst known risk factors do not fully account for the risk of developing this disease (2). Since the 1990’s, technological advancements in neuroimaging have allowed us to visualise the wide organisational structure of the brain (3) and later developments led to capturing information of brain ‘functionality’, as well as the visualisation and measurement of the aggregation and accumulation of AD-related pathology. Thus, in vivo brain imaging has and will continue to be an instrumental tool in clinical research, mainly in the pre-clinical disease stages, aimed at elucidating the biological complex processes and interactions underpinning the onset and progression of cognitive decline and dementia. The growing societal burden of AD/ADRD means that there has never been a greater need, nor a better time, to use such powerful and sensitive tools to aid our understanding of this undoubtedly complex disease. It is by consolidating and reflecting on these imaging advancements and developing long-term strategies across different disciplines, that we can move closer to our goal of dementia prevention. This short commentary will outline recent developments in neuroimaging in the field of AD and dementia by first describing the historical context of AD classification and the introduction of AD imaging biomarkers, followed by some examples of significant recent developments in neuroimaging methods and technologies.