Parallel Identification Research Articles

First record of Monalonion velezangeli (Hemiptera: Miridae) affecting avocado and cherimoya (Annona cherimola) as new hosts in Ecuador

Monalonion velezangeli is a polyphagous hemipteran reported as one of the main pests of economic importance in avocado and coffee crops. This is the first report of M. velezangeli affecting avocado (Persea americana (Mill)) in Ecuador and the first report of cherimoya (Annona cherimola) as a new host plant. The species was identified through classical taxonomy based on morphology, with parallel molecular identification targeting the cytochrome oxidase I region.

THE CONCEPT OF “TIME” IN BASHKIR PROVERBS AND ITS EQUIVALENTS-PROVERBS IN RUSSIAN AND ENGLISH LANGUAGES

The article deals with the problem of similarity of paroemias with the concept of "time" on the material of Bashkir, English and Russian languages. The corpus of semantically equivalent proverbs in the languages under consideration is studied and the typology of interlanguage correspondences is determined. The studied topic of comparing proverbs in the analyzed languages is of considerable interest to linguists, folklorists and culturologists. The problem of the common and the special in the paroemias of different structured languages will determine aspects for further research on the issues of comparing proverbs. The categorization of the concept of "time" (its value, consequence, transience, loss, past, present and future) forms the semantic space and structure of the proverbial picture of the world. The value of human life in time and space is reflected in the paremic phrases and emphasizes the ethnocultural peculiarity of the Bashkir people. The identification of semantic parallels in three languages has practical significance in preserving cultural traditions revealing the national linguistic picture of the world and caring for the value of time.

MALDI glycotyping of O-antigens from a single colony of gram-negative bacteria

Polypeptide-targeted MALDI-TOF MS for microbial species identification has revolutionized microbiology. However, no practical MALDI-TOF MS identification method for O-antigen polysaccharides, a major indicator for epidemiological classification within a species of gram-negative bacteria, is available. We describe a simple MALDI glycotyping method for O-antigens that simultaneously identifies the molecular mass of the repeating units and the monosaccharide composition of the O-antigen. We analyzed the Escherichia coli O1, O6, and O157-type strains. Conventional species identification based on polypeptide patterns and O-antigen polysaccharide typing can be performed in parallel from a single colony using our MALDI-TOF MS workflow. Moreover, subtyping within the same O-antigen and parallel colony-specific O-antigen determination from mixed strains, including the simultaneous identification of multiple strains-derived O-antigens within selected colony, were performed. In MALDI glycotyping of two Enterobacteriaceae strains, a Citrobacter freundii strain serologically cross-reactive with E. coli O157 gave a MALDI spectral pattern identical to E. coli O157. On the other hand, an Edwardsiella tarda strain with no reported O-antigen cross-reactivity gave a MALDI spectral pattern of unknown O-antigen repeating units. The method described in this study allows the parallel and rapid identification of microbial genera, species, and serotypes of surface polysaccharides using a single MALDI-TOF MS instrument.

Exploring Antibiotic Resistance Through Artificial Intelligence: A Novel Perspective

Microbial resistance has long been linked to antibiotic resistance, a serious worldwide health issue. But as technology advances quickly in this day and age, a related phenomenon in the field of artificial intelligence [AI] is beginning to take shape. In order to better understand the idea of "antibiotic resistance" in the context of artificial intelligence [AI], this study will compare and contrast the evolution of bacterial resistance with potential obstacles in the design and implementation of intelligent systems. The increasing prevalence of AI systems across several industries highlights the striking similarities between their capacity to adapt and withstand hostile attacks and changing surroundings, and the biological resistance mechanisms seen in bacteria. This study explores the causes behind AI resistance, looking at how data drift, adversarial manipulations, and changing user behavior might cause machine learning systems to lose their effectiveness over time. The paper also examines the ethical ramifications of AI resistance, addressing issues with biases, unforeseen outcomes, and the influence of intelligent systems on society that are resistant to change or intervention. The area of antibiotic stewardship in medicine serves as an inspiration for the paper's discussion of potential mitigation techniques for AI resistance. Through the identification of parallels between AI resistance and antibiotic resistance in bacteria, this study adds to a better comprehension of the difficulties pertaining to the long-term viability and efficiency of intelligent systems. Since AI will continue to be a major influence on the future, it is critical to address the problem of "antibiotic resistance" in this context in order to ensure that AI is developed responsibly and ethically.

Massively parallel identification of sequence motifs triggering ribosome-associated mRNA quality control.

Decay of mRNAs can be triggered by ribosome slowdown at stretches of rare codons or positively charged amino acids. However, the full diversity of sequences that trigger co-translational mRNA decay is poorly understood. To comprehensively identify sequence motifs that trigger mRNA decay, we use a massively parallel reporter assay to measure the effect of all possible combinations of codon pairs on mRNA levels in S. cerevisiae. In addition to known mRNA-destabilizing sequences, we identify several dipeptide repeats whose translation reduces mRNA levels. These include combinations of positively charged and bulky residues, as well as proline-glycine and proline-aspartate dipeptide repeats. Genetic deletion of the ribosome collision sensor Hel2 rescues the mRNA effects of these motifs, suggesting that they trigger ribosome slowdown and activate the ribosome-associated quality control (RQC) pathway. Deep mutational scanning of an mRNA-destabilizing dipeptide repeat reveals a complex interplay between the charge, bulkiness, and location of amino acid residues in conferring mRNA instability. Finally, we show that the mRNA effects of codon pairs are predictive of the effects of endogenous sequences. Our work highlights the complexity of sequence motifs driving co-translational mRNA decay in eukaryotes, and presents a high throughput approach to dissect their requirements at the codon level.

The Transgression List in Šurpu Tablet IV and Its Sordid Moral Implications

Abstract Modern scholarship has become more attentive to the interrelation between performative and scholastic factors in the production of ancient Near Eastern ritual texts. This article aims to shed light on the compositional processes responsible for the integration of a list of transgressions into Šurpu Tablet 4. This analysis is facilitated by the identification of a close parallel from the Namerimburruda tradition. The comparison of these texts illuminates the subtle manner by which scribe responsible for Šurpu IV appropriated earlier materials to fit the theological and rhetorical aims of the new composition. This focused case study can serve as a point of departure for further research on the flexible roles of interpolated sin lists in ancient Near Eastern literature.

«Мать-Россия новых родных деток нашла…»: о роли образа ребенка в трактовке славянской идеи в «Дневнике писателя» Ф.М. Достоевского

Perceptions of the Russo-Turkish War and Russia’s foreign policy of the 1870s received much attention in “A Writer”s Diary” by Fyodor Dostoevsky. Within the narrative of Slavic suffering in the Balkans, the writer frequently employs the image of a suffering child, the central motif in the “Diary.” This paper argues for the importance of examining sections related to the Eastern Question within the broader ideological context of Dostoevsky’s journal. The identification of parallels between journalistic and artistic segments facilitates a more comprehensive understanding of the author’s perspective on the Slavic idea, particularly the significance of the child’s image in its portrayal throughout the “Diary.” While the author provides vivid depictions of Slavic children’s sufferings, he also characterizes Slavs collectively as Russia’s children in need of its advocacy and protection. The portrayal of suffering Slavic Orthodox children is integrated into the overarching system of child imagery in the “Diary,” serving as poignant evidence for the necessity of pan-Slavism. Dostoevsky associates the liberation of Orthodox peoples in the Balkans with Russia’s religious mission, emphasizing its duty to provide altruistic assistance to Slavic “children” in the name of true Christ, whose genuine image endures solely within Orthodoxy.

Data-Based Tampered-Data Recovery Strategy With Encoding Against Stealthy Attack for Unknown Discrete-Time Systems.

This study addresses a tampered-data recovery problem for linear discrete-time systems with completely unknown system dynamics under stealthy attacks. The basic idea is to identify the stealthy attack, that lies in any of attack-stealthy subspaces, and compensate for it. Different from the existing sparse recovery methods which are applicable to nonstealthy sparse attacks, a novel encoding scheme, where a set of subdecoding matrices is designed specifically for each 1-D attack-stealthy subspace, is developed so that the parameters of the stealthy attack can be identified via a subspace projection technique. A necessary and sufficient condition of determining the targeted subspace by using n parallel attack identification filters is established for this encoding scheme. Especially, a composite encoding matrix characterizes the lower and upper boundaries of the recovery error covariance's trace. A simulation example of a flight vehicle illustrates the efficiency of the proposed approach.

KANI CHARMOU, AN IRON AGE II GRAVEYARD

Examining the archaeological findings within the Mannaean kingdom, a significant association with Assyria emerges, highlighting these regions’ interconnectedness. The influence of both Urartian and Assyrian cultures on the Mannaean people becomes evident, indicating a shared cultural heritage or intimate exchanges among these cultures. Notably, the Kani Charmou graveyard in Mannaea serves as a compelling example, revealing a rich assortment of artifacts that parallel those discovered in Ziwiye, a renowned archaeological site in the region. These diverse grave goods unequivocally demonstrate the existence of a robust trade and exchange network between Mannaea and its neighbouring western counterpart, Assyria, and the profound impact of Assyrian culture on Mannaean society. This connection is also evident in religious practices, which show similarities. Through stylistic analysis and the identification of parallels in metal vessels, glazed jars, and a cylinder seal, the proposed dating of the Kani Charmou graveyard aligns with the Iron Age II period.

Современные и исторические параллели восприятия аномии в армянском обществе

<p>The characteristics of perception of anomie are revealed both in modern societies and in the historical past. Although the psychological phenomenon of anomie is expressed in thinking specific for various historical periods, the study of historical and modern parallels allows us to see some models of the development of psychological scientific thought and perception of anomie. Anomie is presented as a psychological pattern of perception with certain characteristics such as social apathy, emotional burnout, alienation, normlessness, social isolation and others. The variety of causes and manifestations of anomie requires the search for new ways and strategies for studying human activity and motivation, which will not only reduce the risks of social apathy, but also adapt the individual to the conditions of rapidly changing social processes. In order to do it it is necessary to study the relationship between the various components of perception of anomie and compare modern anomie issues with historical parallels. The identification of modern and historical parallels in the development of the phenomenon of anomie shows the changes of perception of socio-psychological well-being and worldview. In the methodological sense, the comparative method of the investigation of the perception of anomie allows us to reveal and highlight the historical basis of human worldview.</p>

Symbolic Cretanness: Descendants of Cretan Muslims in Present-Day Turkey

Abstract This article investigates the relationship between second- and third-generation descendants of Cretan Muslims in Turkey and their Cretanness. It takes the public manifestations of and heightened involvement with Cretanness that have recently been taking place in Turkey as a starting point and develops a framework to elucidate the contemporary dynamics of Cretanness. Through in-depth interviews and participant observation, this study reveals that Cretanness has undergone transformation for the current generations. It is characterized by the fading of certain cultural aspects, but by a parallel vocal identification with Cretanness. This dual pattern is unified under the concept “symbolic Cretanness,” inspired by Herbert Gans’ notion of “symbolic ethnicity.” The article argues that this current form of Cretanness encompasses the pursuit of visibility, an intermittent involvement with origins, and the precedence of symbols, the most significant of which is food.

Parallel line identification for line-implicit-solvers

Line-implicit preconditioners are well known in computational fluid dynamics (CFD) solvers and are an essential component to handle meshes with cells of very high aspect ratio (> 1000:1). Such anisotropic cells are commonly used to resolve steep gradients in the boundary layer of a turbulent flow with high Reynolds number. To date, this technique has rarely been used to solve other partial differential equations. We show that the advantages of such preconditioners do not depend on the partial differential equation or discretization used, but also apply to other problems like a node-based mesh deformation with linear elasticity on such meshes. We show the influence of the selection of these lines, and present a new algorithm for identifying lines for line-implicit preconditioners. This new algorithm makes better use of parallel processors and leads to more homogeneous lines. Finally, we see that using the same line-implicit preconditioner, but the new line identification algorithm, even leads to faster convergence for the mesh deformation problem based on linear elasticity.

A massively parallel approach for assessing CRISPR off-targets in vitro

In a recent issue of Med, Tian etal.1 present AID-seq, an approach that enables massively parallel identification of off-targets for different CRISPR nucleases invitro. By using a pooled strategy to simultaneously identify the on-/off-targets of multiple gRNAs, the authors could screen the most efficient and safe gRNA candidates.

GPU-based mesh reduction strategy utilizing active nodes for structural topology optimization

This paper presents a novel mesh reduction strategy on graphics processing unit (GPU) that aims to reduce the computational complexity of conventional structural topology optimization. In the proposed strategy, the effective number of design variables is reduced by using the concept of active nodes and active elements in the finite element mesh. A novel mesh numbering scheme is also introduced to facilitate parallel identification of active nodes using a proposed GPU-based algorithm. The preconditioned conjugate gradient (PCG) solver is further developed using the proposed strategy and the numbering scheme. The proposed strategy is tested on three structural topology optimization problems using solid isotropic material with penalization method. Results of the proposed strategy demonstrate up to 8× speedup over the standard GPU implementation considering the entire mesh.

Automated time-lapse data segmentation reveals in vivo cell state dynamics.

Embryonic development proceeds as a series of orderly cell state transitions built upon noisy molecular processes. We defined gene expression and cell motion states using single-cell RNA sequencing data and in vivo time-lapse cell tracking data of the zebrafish tailbud. We performed a parallel identification of these states using dimensional reduction methods and a change point detection algorithm. Both types of cell states were quantitatively mapped onto embryos, and we used the cell motion states to study the dynamics of biological state transitions over time. The time average pattern of cell motion states is reproducible among embryos. However, individual embryos exhibit transient deviations from the time average forming left-right asymmetries in collective cell motion. Thus, the reproducible pattern of cell states and bilateral symmetry arise from temporal averaging. In addition, collective cell behavior can be a source of asymmetry rather than a buffer against noisy individual cell behavior.

Retirement’s impact on health: what role does social network play?

While a large body of literature investigates the bidirectional relationship between retirement and health, few have analyzed the mechanism through which retirement affects health which will provide important policy instrument insights. Using three waves of National Social Life, Health, and Aging Project, we examine the mediating role of the social network in the relationship between retirement and health in USA. We address the endogeneity and reverse causality through panel instrumental fixed-effect methods. We apply both single and parallel mediation analyses to identify the potential mechanism by which social network characteristics mediate the impact of retirement on health. Findings reveal that retirement adversely affects physical and mental health outcomes, and a considerable portion of these effects are explained by social network changes post-retirement. Specifically, 58% of reduction in the probability of reporting good physical health and 4.5% of increment in chances of having depression symptoms post-retirement can be explained by shrinkage in the size of social network in retirees. Using parallel mediation identification to account for dependencies among social network features, we find that social network size induces 79.5% reduction in probability of reporting good physical health and 18.6% increase in probability of having depression in retirees as compared to non-retirees. Findings in this paper suggest that investing in social network of the elderly can buffer the adverse health effect of retirement and can be an effective policy target for promoting healthy aging.

Quantification of snake venom proteomes by mass spectrometry-considerations and perspectives.

The advent of soft ionization mass spectrometry-based proteomics in the 1990s led to the development of a new dimension in biology that conceptually allows for the integral analysis of whole proteomes. This transition from a reductionist to a global-integrative approach is conditioned to the capability of proteomic platforms to generate and analyze complete qualitative and quantitative proteomics data. Paradoxically, the underlying analytical technique, molecular mass spectrometry, is inherently nonquantitative. The turn of the century witnessed the development of analytical strategies to endow proteomics with the ability to quantify proteomes of model organisms in the sense of "an organism for which comprehensive molecular (genomic and/or transcriptomic) resources are available." This essay presents an overview of the strategies and the lights and shadows of the most popular quantification methods highlighting the common misuse of label-free approaches developed for model species' when applied to quantify the individual components of proteomes of nonmodel species (In this essay we use the term "non-model" organisms for species lacking comprehensive molecular (genomic and/or transcriptomic) resources, a circumstance that, as we detail in this review-essay, conditions the quantification of their proteomes.). We also point out the opportunity of combining elemental and molecular mass spectrometry systems into a hybrid instrumental configuration for the parallel identification and absolute quantification of venom proteomes. The successful application of this novel mass spectrometry configuration in snake venomics represents a proof-of-concept for a broader and more routine application of hybrid elemental/molecular mass spectrometry setups in other areas of the proteomics field, such as phosphoproteomics, metallomics, and in general in any biological process where a heteroatom (i.e., any atom other than C, H, O, N) forms integral part of its mechanism.

Sensemaking About the Organization–Occupation Relationship in Constructing Identification at Work: A Cross-Occupational Approach

Departing from the prior assumption that identification with organization and identification with occupation are constructed separately, we explore how employee identifications with these multiple targets are co-constructed at work, using a grounded-theory approach. An analysis of interview data collected from members of three occupations (engineers, human resource [HR] staff, and marketers) in a large global company reveals that organizational identity’s impact on employee identification is not independent of but significantly influenced by occupational identity; specifically, occupational identity provides a lens through which individuals actively interpret the organizational identity. Using the occupational lens, individuals engage in sensemaking about the alignment between organization and occupation and, based on this sensemaking, construct their identification with both targets. We identify four types of identification configurations constructed under the nexus of these organizational and occupational identity inputs: holistic, prioritized, parallel, and conditional identification, which vary systematically across occupations.

Absorbance measurement for in situ process regime identification in laser processing

Laser melting can be conducted in two different process regimes, the conduction and the keyhole mode, which exhibit significantly different characteristics, dynamics, and stability and are highly sensitive to a magnitude of process parameters. Despite these differences and the resulting high relevance of the prevailing process regime for process development, the regime is commonly deduced after specimen testing. An identification of the regime parallel to the process could speed up the process development of, for example, laser beam welding or laser-based powder bed fusion of metals. Therefore, the possibility of an in situ regime identification under process-near conditions is the aim of these investigations. For this, the absorbance is measured in situ by using an integrating sphere on an in-house-developed test rig. This test rig can mimic real production process conditions to detect the characteristic change in the degree of absorption when switching between the process regimes. These measurements were conducted during experiments in which only the laser power was varied. A significant change in absorption was detected at a threshold laser power of 100 W, which correlates with the transition between the process regimes’ conduction and keyhole regime. This threshold was proven by subsequent identification analysis of micrographic cross sections. This correlation promises the possibility of fast in situ process regime identification under near-real production process conditions with the potential of accelerating process development.

Massively parallel identification of mRNA localization elements in primary cortical neurons

Cells adopt highly polarized shapes and form distinct subcellular compartments in many cases due to the localization of many mRNAs to specific areas, where they are translated into proteins with local functions. This mRNA localization is mediated by specific cis-regulatory elements in mRNAs, commonly called ‘zipcodes’. Although there are hundreds of localized mRNAs, only a few zipcodes have been characterized. Here we describe a novel neuronal zipcode identification protocol (N-zip) that can identify zipcodes across hundreds of 3′ untranslated regions. This approach combines a method of separating the principal subcellular compartments of neurons—cell bodies and neurites—with a massively parallel reporter assay. N-zip identifies the let-7 binding site and (AU)n motif as de novo zipcodes in mouse primary cortical neurons. Our analysis also provides, to our knowledge, the first demonstration of an miRNA affecting mRNA localization and suggests a strategy for detecting many more zipcodes.