Pivotal Structure Research Articles

The entorhinal cortex and cognitive impairment in schizophrenia: A comprehensive review.

Schizophrenia, a severe mental illness characterized by cognitive impairment and olfactory dysfunction, remains an enigma with its pathological mechanism yet to be fully elucidated. The entorhinal cortex, a pivotal structure involved in numerous neural loop circuits related to olfaction, cognition, and emotion, has garnered significant attention due to its structural and functional abnormalities, which have been implicated in the pathogenesis of schizophrenia. This review focuses on the abnormal structural and functional changes in the entorhinal cortex in schizophrenia patients, as evidenced by neuroimaging, cellular biology, and genetic studies. These changes are posited to play a crucial role in the pathogenesis of cognitive impairment in schizophrenia. Furthermore, this review explores the various intervention strategies targeting the entorhinal cortex in current treatment modalities and proposes potential directions for future research endeavors, thereby providing a novel perspective on unraveling the complexity of neural mechanisms underlying schizophrenia and developing innovative therapeutic approaches for schizophrenia.

#FrauenSagenNein - bridging the divide: analyzing the affective network of gender-critical alliances

ABSTRACT The influence of anti-gender movements is on the rise globally as they seek to prevent the expansion of transgender rights. In Germany, the anti-gender debate has gained renewed intensity in the wake of the publication of the draft Self-Determination Act in June 2022. Within this discourse, two prominent groups of actors emerged: gender-critical feminists and right-wing populists. Despite their divergent ideological and political positions, the affordances of social media provide them with a platform for collaborative interactions. Thus, under issue-related hashtags, the boundaries between these actors are becoming increasingly blurred. This research utilizes affect theory and analysis of hashtag activism to investigate the collective protest on Twitter against the proposed Self-Determination Act. Employing social network analysis (SNA), the study identifies pivotal structures and actors within the #FrauenSagenNein (#WomenSayNo) network. Additionally, qualitative content analysis delves into the narratives and sentiments employed in constructing hostile portrayals of transgender individuals. The findings illustrate that #FrauenSagenNein served as a bridging tool that connects gender-critical feminists and right-wing populist actors, leading to their intersection. Based on these findings, it is vital to critically monitor such alliances to counter the spread of binary gender norms and heteronormative beliefs.

Non-equilibrium formation and relaxation of magnetic flux ropes at kinetic scales

Magnetic flux ropes are pivotal structures and building blocks in astrophysical and laboratory plasmas, and various equilibrium models have thus been studied in the past. However, flux ropes in general form at non-equilibrium, and their pathway from formation to relaxation is a crucial process that determines their eventual properties. Here we show that any localized current parallel to a background magnetic field will evolve into a flux rope via non-equilibrium processes. The detailed kinetic dynamics are exhaustively explained through single-particle and Vlasov analyses and verified through particle-in-cell simulations. This process is consistent with many proposed mechanisms of flux rope generation such as magnetic reconnection. A spacecraft observation of an example flux rope is also presented; by invoking the non-equilibrium process, its structure and properties can be explicated down to all six components of the temperature tensor.

Nano-titanium dioxide exacerbates the harmful effects of perfluorooctanoic acid on the health of mussels

Exposing marine organisms to contemporary contaminants, such as perfluorooctanoic acid (PFOA) and nano-titanium dioxide (nano-TiO2), can induce multifaceted physiological consequences. Our investigation centered on the responses of the mussel, Mytilus coruscus, to these agents. We discerned pronounced disruptions in gill filament connections, pivotal structures for aquatic respiration, suggesting compromised oxygen uptake capabilities. Concurrently, the respiratory rate exhibited a marked decline, indicating a respiratory distress. Furthermore, the mussels' clearance rate, a metric of their filtration efficacy, diminished, suggesting the potential for bioaccumulation of deleterious substances. Notably, the co-exposure of PFOA and nano-TiO2 exhibits interactive effects on the physiological performance of the mussels. The mussels' digestive performance waned in the face of heightened PFOA and nano-TiO2 concentrations, possibly hampering nutrient assimilation and energy accrual. This was mirrored in the noticeable contraction of their energy budget, suggesting long-term growth repercussions. Additionally, the dysregulation of the gut microbiota and the reduction in its diversity further confirm alterations in intestinal homeostasis, subsequently impacting its physiological functions and health. Collectively, these findings underscore the perils posed by escalated PFOA and nano-TiO2 levels to marine mussels, accentuating the need for a deeper understanding of nanoparticle-pollutant synergies in marine ecosystems.

Study of the Extremely Low-Frequency Noise Characteristics of a Micro-Thrust Measurement Platform.

The critical structural parameters are optimized and studied using the numerical simulation method to improve the resolution and stability of the Micro-Thrust Measurement Platform (MTMP). Under two different ground random vibration environments, the parameters, such as pivot thickness, pendulum rod length, and pivot structure, are focused on analyzing the influence of the system's resolution and stability. The results show that when the thickness of the pivot is 0.04 mm or 0.2 mm, and the pendulum rod length is 2 m, the effect of ground random vibration on the MTMP is minimized. At 0.1 mHz, it can reach 0.0057 μN/Hz. In the series double-pivot structure, an appropriate increase in the distance between the sheets can further optimize the above conclusions. The results and analysis within this study can provide support for the engineering design of the MTMP.

Pathogenic residue insertion in neuronal nicotinic receptor alters intra- and inter-subunit interactions that tune channel gating

We describe molecular-level functional changes in the α4β2 nicotinic acetylcholine receptor (nAChR) by a leucine residue insertion in the M2 transmembrane domain of the α4 subunit associated with sleep-related hyperkinetic epilepsy. Measurements of agonist-elicited single channel currents reveal the primary effect is to stabilize the open channel state while the secondary effect is to promote reopening of the channel. These dual effects prolong the durations of bursts of channel openings equally for the two major stoichiometric forms of the receptor, (α4)2(β2)3 and (α4)3(β2)2, indicating the functional impact is independent of mutant copy number per receptor. Altering the location of the residue insertion within M2 shows that functionally pivotal structures are confined to a half turn of the M2 α-helix. Residue substitutions within M2 and surrounding α-helices reveal that both intra- and inter-subunit interactions mediate the increase in burst duration. These interactions impacting burst duration depend linearly on the size and hydrophobicity of the substituting residue. Together the results reveal a novel structural region of the α4β2 nAChR in which inter-helical interactions tune the stability of the open channel state.

Evaluation of Lingual Foramen in the South Indian Population Using Cone-Beam Computed Tomography: A Prospective Cross-Sectional Study.

Surgical procedures in the anterior mandibular region require a profound understanding of the complex anatomical structures to ensure patient safety. The lingual foramen (LF) and its intra-osseous canal are pivotal structures, supplying vascular and neural support to the mental region. The prevalence of LF is widely recognized, with variations among populations. The study involved 650 adult participants. Data were collected using high-resolution cone-beam computed tomography (CBCT), and statistical analysis was conducted, establishing inter-rater agreement. The population had a varied age distribution, with males comprising 53.23% and females comprising 46.77%. The median lingual canal was found in the Supra and Infra spinosum (65.38%). Most participants had lateral lingual canals (60.92%). The most prevalent lingual foramina was 4 (30.62%). The study found no significant associations between gender and LF diameter, distribution in different travel directions, or LF locations. However, males had a slightly larger diameter. The findings provide valuable insights into LF variations based on anatomical locations, and there were no statistically significant differences in measurements across different age groups. This knowledge contributes to the evolving field of oral and maxillofacial surgery, ensuring better patient outcomes.

Experimental investigation of secondary flow losses in a variable geometry linear turbine cascade with winglet tip

Variable geometry turbines (VGT) hold a crucial role in gas turbines and variable cycle engines (VCE) by allowing adjustments to different operational conditions. In order to realize the adjustable function of the VGT stator blade, there will be partial gap structure at both ends of the stator blade, which will lead to partial leakage flow and serious secondary flow loss at the blade end that cannot be ignored, especially in a large angle adjustment range. At present, there are few researches on turbine cascades considering the real partial gap structure and winglet tip, and the numerical simulation calculation is mainly used, while the in-depth study using wind tunnel test is rarely seen. Therefore, this study attempts to analyze the internal flow characteristics of variable geometry turbine cascade by using five-hole pneumatic probe scanning and surface oil flow visualization, and discusses the mechanism of controlling partial clearance leakage flow and reducing secondary flow loss in the cascade by using winglet tip flow control technology. The winglet offset distance and the change of the relationship between the pivot and the clearance position on the flow field and flow loss is studied experimentally for the first time. The results show that the influence mechanism of winglet tip applied in VGT partial gap is quite different from that of typical blade tip clearance application, and more consideration should be given to the influence of pivot structure. Reasonable parameter selection can achieve a maximum loss reduction of 13.4 % and 20.2 % with and without pivot, respectively, while the unreasonable flow control scheme may lead to the loss or even increase with pivot. The interaction between the new secondary flow structure induced by pivot in the gap and other gap leakage flows is analyzed to explore the new mechanism of using winglet tip to reduce the loss of gap leakage flow.

A cogroupoid associated to preregular forms

We construct a family of cogroupoids associated to preregular forms and recover the Morita–Takeuchi equivalence for Artin–Schelter regular algebras of dimension two, observed by Raedschelders and Van den Bergh. Moreover, we study the 2-cocycle twists of pivotal analogues of these cogroupoids, by developing a categorical description of preregularity in any tensor category that has a pivotal structure.

Multi-polar Q-hesitant Fuzzy Soft Implicative and Positive Implicative Ideals in BCK/BCI-algebras.

This paper focuses on exploring restricted mathematical concepts within the domain of BCK/BCI-algebras, specifically delving into the intricate realm of Multi-polar Q-hesitant fuzzy soft implicative and positive implicative ideals. BCK and BCI-algebras are pivotal structures in mathematical logic and algebraic systems, finding widespread applications in fields like computer science and artificial intelligence. Our contribution lies in the introduction and thorough investigation of the innovative notions of multi-polar Q-hesitant fuzzy soft implicative and positive implicative ideals, uniquely tailored for BCK/BCI-algebras. These ideals exhibit exceptional flexibility in managing uncertain and hesitant information, serving as potent tools for modeling and solvingreal-world problems characterized by imprecise or incomplete data. This study rigorously defines and explores the foundational properties of multi-polar Q-hesitant fuzzy soft implicative ideals, underscoring their relevance and applicability within BCK/BCI-algebras. Additionally, we present the concept of positive implicative ideals, establishing their interconnectedness with multi-polar Q-hesitant fuzzy soft implicative ideals. Our investigation delves into these ideals’ algebraic and logical facets, offering valuable insights into their mutual interactions and significance within the context of BCK/BCI-algebras. To facilitate practical implementation, we develop algorithms and methodologies for identifying and characterizing multi-polar Q-hesitant fuzzy soft implicative and positive implicative ideals. These computational tools enable efficient decision-making in scenariosinvolving uncertainty. Through illustrative examples and case studies, we showcase the potential of these ideals in handling complex, uncertain information, demonstrating their efficacy in aiding problem-solving processes. This research contributes significantly to advancing BCK/BCI-algebra theory by introducing innovative mathematical structures that bridge the gap between fuzzy logic, soft computing, and implicative ideals. The proposed multi-polar Q-hesitant fuzzy soft implicativeand positive implicative ideals open new avenues for addressing real-world problems characterized by imprecision and uncertainty. As such, they represent a valuable addition to the field of algebraic structures and their applications.

Halogen regulation of multifunctional hybrid materials with photoluminescence and dielectric response

Starting from the pivotal structure–performance relationship, three compounds are synthesized through halogen regulation, and the photoluminescence is dependent on the structure.

Deep core level hard X‐ray photoelectron spectroscopy for catalyst characterization

AbstractHeterogeneous catalysts are the crucial element for many catalytic processes. In most of the cases, the pivotal structure consists of catalytic metals/alloy particles supported by oxides. Knowledge of the interaction between metal and oxide is central to understand the structure–performance relationship of such systems. X‐ray photoelectron spectroscopy provides access to the chemical–physical properties of metal and oxide interface as well as polarization effects. The results are usually derived from changes of the measured binding energies based on initial state analysis. We propose to extend the analysis using photoelectron as well as Auger transition to include final state effects (Wagner/Hohlneichner plots). This gives additional information on the specific chemical neighborhood of the excited atom. Three archetypal systems are investigated by hard X‐ray photoelectron spectroscopy (HAXPES) to introduce two approaches to this analysis for the most common support elements Al and Si.

Epigenetic and transcriptional landscapes during cerebral cortex development in a microcephaly mouse model

The cerebral cortex is a pivotal structure integral to advanced brain functions within the mammalian central nervous system. DNA methylation and hydroxymethylation play important roles in regulating cerebral cortex development. However, it remains unclear whether abnormal cerebral cortex development, such as microcephaly, could rescale the epigenetic landscape, potentially contributing to dysregulated gene expression during brain development. In this study, we characterize and compare the DNA methylome/hydroxymethylome and transcriptome profiles of the cerebral cortex across several developmental stages in wild-type (WT) mice and Mcph1 knockout (Mcph1-del) mice with severe microcephaly. Intriguingly, we discover a global reduction of 5′-hydroxymethylcytosine (5hmC) level, primarily in TET1-binding regions, in Mcph1-del mice compared to WT mice during juvenile and adult stages. Notably, genes exhibiting diminished 5hmC levels and concurrently decreased expression are essential for neurodevelopment and brain functions. Additionally, genes displaying a delayed accumulation of 5hmC in Mcph1-del mice are significantly associated with the establishment and maintenance of the nervous system during the adult stage. These findings reveal that aberrant cerebral cortex development in the early stages profoundly alters the epigenetic regulation program, which provides unique insights into the molecular mechanisms underpinning diseases related to cerebral cortex development.

Design and analysis of ultra-low moment noise flexure pivot in space gravitational wave detectors

To control the pointing accuracy of the telescope in the space gravitational wave detector at the nano-radian level, it is essential to design a flexure pivot with extremely low rotational moment nonlinearity during rotation. This study derives the theoretical equation of the nonlinear rotational moment of flexure pivot based on the beam bending strain energy equation and completes the design of ultra-low moment noise flexure pivot by integrating the structural form of conventional cross-spring flexure pivot. The nonlinear moment noise distribution in the frequency domain of three kinds of flexure pivots is then compared regarding TianQin’s circular high orbits. Then the relevant finite element simulation analysis will be performed for the flexure pivot structures, respectively, to ensure the accuracy of its rotational stiffness model and verify the correctness of nonlinear moment theory optimization through physical experiments. The results show that the optimized flexure pivot can effectively reduce the nonlinearity, and basically meet the nonlinear moment requirements in space gravitational wave detection.

Relative Serre functor for comodule algebras

Let C be a finite tensor category, and let M be an exact left C-module category. The relative Serre functor of M is an endofunctor S on M together with a natural isomorphism Hom_(M,N)⁎≅Hom_(N,S(M)) for M,N∈M, where Hom_ is the internal Hom functor of M. In this paper, we discuss the case where C and M are the category of finite-dimensional left modules over a finite-dimensional Hopf algebra H and a finite-dimensional left H-comodule algebra L, respectively. We give an explicit description of the relative Serre functor of M and its twisted module structure in terms of the Frobenius structure of L. We also study pivotal structures on M and give some concrete examples.

The Establishment of a Tobramycin-Responsive Whole-Cell Micro-Biosensor Based on an Artificial Ribozyme Switch.

In this study, a tobramycin concentration-dependent whole-cell micro-biosensor (tob-HHAz) was constructed by fusing a tobramycin aptamer with a hammerhead ribozyme (HHR) from Schistosoma mansoni. The biosensor was obtained by integrating all the modules into one complete RNA sequence, which was easily introduced into E. coli without suffering from harsh external environments. Three independent tobramycin-sensitive RNA structures were identified via high-throughput screening in vivo and were further verified in vitro to undergo the desired self-cleavage reaction. The computation prediction of the RNA structure was performed to help analyze the mechanisms of various conformations by performing a qualitative and rapid detection of tobramycin in practical samples; two sensors exhibited high responsiveness to spiked milk, with a detection limit of around 40 nM, which is below the EU's antibiotic maximum residual level. One of the structures provides a linear range from 30 to 650 nM with a minimum detection limit of 30 nM and showed relatively good selectivity in spiked urine. This study is the first in which in vivo screening was combined with computation analysis to optimize the pivotal structure of sensors. This strategy enables researchers to use artificial ribozyme-based biosensors not only for antibiotic detection but also as a generally applicable method for the further detection of substances in living cells.

The arcuate fasciculus: Combining structure and function into surgical considerations.

Two Centuries from today, Karl Friedrich Burdach attributed the nomenclature "arcuate fasciculus" to a white matter (WM) pathway connecting the frontal to the temporal cortices by arching around the Sylvian fissure. Although this label remained essentially unvaried, the concepts related to it and the characterization of the structural properties of this bundle evolved along with the methodological progress of the past years. Concurrently, the functional relevance of the arcuate fasciculus (AF) classically restricted to the linguistic domain has extended to further cognitive abilities. These features make it a relevant structure to consider in a large variety of neurosurgical procedures. Herein, we build on our previous review uncovering the connectivity provided by the Superior Longitudinal System, including the AF, and provide a handy representation of the structural organization of the AF by considering the frequency of defined reports in the literature. By adopting the same approach, we implement an account of which functions are mediated by this WM bundle. We highlight how this information can be transferred to the neurosurgical field by presenting four surgical cases of glioma resection requiring the evaluation of the relationship between the AF and the nearby structures, and the safest approaches to adopt. Our cumulative overview reports the most common wiring patterns and functional implications to be expected when approaching the study of the AF, while still considering seldom descriptions as an account of interindividual variability. Given its extension and the variety of cortical territories it reaches, the AF is a pivotal structure for different cognitive functions, and thorough understanding of its structural wiring and the functions it mediates is necessary for preserving the patient's cognitive abilities during glioma resection.

Optimization of activated phosphorus concentration in recrystallized polysilicon layers for the n-TOPCon solar cell application

The pivotal structure of n-TOPCon (tunnel oxide passivating contact) solar cells is the passivating contact structure composed of a heavily doped polysilicon (poly-Si) layer and an ultrathin silicon oxide (SiOx), which can provide excellent selectively carrier transport. The activated phosphorus concentration in the passivating contact structure plays a crucial role in the passivation quality and contact resistivity performance. By adjusting PH3 flow rate, SiOx thickness and activation temperature, three different activated phosphorus concentrations in poly-Si were achieved in this work, the phosphorus concentration from SiOx to silicon bulk decreased at the same rate. It can be found that the passivation quality decreases with increasing concentration and the contact resistivity decreases significantly. With the aid of ellipsometry, we successfully extracted the refractive index n and extinction coefficient k of three poly-Si with different activated phosphorus concentrations. The extracted n and k values can well feedback the influence of concentration change on short-circuit current density in the simulation. Due to the high concentration led to the decrease of the open circuit voltage and short circuit current of the final TOPCon solar cell, but the obvious filling factor benefit can be obtained, only moderate doping concentration can obtain the best efficiency performance. Finally, the activated phosphorus concentration of about 3 × 1020 cm−1 can obtain the best efficiency, >24.8% on average.

Pivotal structures of the Drinfeld center of a finite tensor category

We show that pivotal structures of the Drinfeld center of a finite tensor category C are in bijection with the set of equivalence classes of a pair (β,j) consisting of an invertible object β of C and a monoidal natural transformation jX:β⊗X⊗β⁎→X⁎⁎ (X∈C). As an application of techniques used to prove the main result, we also obtain a non-semisimple analogue of a categorification of the Rosenberg-Zelinsky exact sequence for fusion categories given by Galindo and Plavnik

Study of fatigue damage to the cochlea

In order to explore the hearing loss resulting from exposure to continuous or intermittent loud noise. A three-dimensional liquid-solid coupling finite element model of spiral cochlea was established. The reliability of the model was verified, and the stress and amplitude of the basilar membrane of the pivotal structure in cochlea were analyzed. The results show that under the action of the same high-pressure sound, the preferential fatigue area of the cochlear high-frequency area mainly causes fatigue in the cochlear. The safer area is a sound pressure level below 70 dB, while one above 90 dB accelerates damage to the ear.