bluuebunny/crossref_metadata_2025_split huggingface dataset:
Precision Mapping of Amyloid-β Binding Reveals Perisynaptic Localization and Spatially Restricted Plasticity Deficits
Authors: Actor-Engel Hannah S. , Schwartz Samantha L. , Crosby Kevin C. , Sinnen Brooke L. , Prikhodko Olga , Ramsay Harrison J. , Bourne Jennifer N. , Winborn Christina S. , Lucas Alexandra , Smith Katharine R. , Dell’Acqua Mark L. , Kennedy Matthew J. 
Published: November 2021

AbstractSecreted amyloid-β (Aβ) peptide forms neurotoxic oligomeric assemblies thought to cause synaptic deficits associated with Alzheimer’s disease (AD). Soluble Aβ oligomers (Aβo) directly bind to neurons with high affinity and block plasticity mechanisms related to learning and memory, trigger loss of excitatory synapses and eventually cause cell death. While Aβo toxicity has been intensely investigated, it remains unclear precisely where Aβo initially binds to the surface of neurons and whether sites of binding relate to synaptic deficits. Here, we used a combination of live cell, super-resolution and ultrastructural imaging techniques to investigate the kinetics, reversibility and nanoscale location of Aβo binding. Surprisingly, Aβo does not bind directly at the synaptic cleft as previously thought but, instead, forms distinct nanoscale clusters encircling the postsynaptic membrane with a significant fraction also binding presynaptic axon terminals. Synaptic plasticity deficits were observed at Aβo-bound synapses but not closely neighboring Aβo-free synapses. Thus, perisynaptic Aβo binding triggers spatially restricted signaling mechanisms to disrupt synaptic function. These data provide new insight into the earliest steps of Aβo pathology and lay the groundwork for future studies evaluating potential surface receptor(s) and local signaling mechanisms responsible for Aβo binding and synapse dysfunction.
From Progenitors to Progeny: Shaping Striatal Circuit Development and Function
Authors: Knowles Rhys , Dehorter Nathalie , Ellender Tommas 
Published: November 2021

Understanding how neurons of the striatum are formed and integrate into complex synaptic circuits is essential to provide insight into striatal function in health and disease. In this review, we summarize our current understanding of the development of striatal neurons and associated circuits with a focus on their embryonic origin. Specifically, we address the role of distinct types of embryonic progenitors, found in the proliferative zones of the ganglionic eminences in the ventral telencephalon, in the generation of diverse striatal interneurons and projection neurons. Indeed, recent evidence would suggest that embryonic progenitor origin dictates key characteristics of postnatal cells, including their neurochemical content, their location within striatum, and their long-range synaptic inputs. We also integrate recent observations regarding embryonic progenitors in cortical and other regions and discuss how this might inform future research on the ganglionic eminences. Last, we examine how embryonic progenitor dysfunction can alter striatal formation, as exemplified in Huntington's disease and autism spectrum disorder, and how increased understanding of embryonic progenitors can have significant implications for future research directions and the development of improved therapeutic options.SIGNIFICANCE STATEMENTThis review highlights recently defined novel roles for embryonic progenitor cells in shaping the functional properties of both projection neurons and interneurons of the striatum. It outlines the developmental mechanisms that guide neuronal development from progenitors in the embryonic ganglionic eminences to progeny in the striatum. Where questions remain open, we integrate observations from cortex and other regions to present possible avenues for future research. Last, we provide a progenitor-centric perspective onto both Huntington's disease and autism spectrum disorder. We suggest that future investigations and manipulations of embryonic progenitor cells in both research and clinical settings will likely require careful consideration of their great intrinsic diversity and neurogenic potential.
Testing for Restricted Stochastic Dominance: Some Further Results
Authors: Davidson Russell 
Published: November 2021

Extensions are presented to the results of Davidson and Duclos (2007), whereby the null
hypothesis of restricted stochastic non dominance can be tested by both asymptotic and
bootstrap tests, the latter having considerably better properties as regards both size and
power. In this paper, the methodology is extended to tests of higher-order stochastic dominance.
It is seen that, unlike the first-order case, a numerical nonlinear optimisation problem
has to be solved in order to construct the bootstrap DGP. Conditions are provided for a
solution to exist for this problem, and efficient numerical algorithms are laid out. The empirically
important case in which the samples to be compared are correlated is also treated,
both for first-order and for higher-order dominance. For all of these extensions, the bootstrap
algorithm is presented. Simulation experiments show that the bootstrap tests perform
considerably better than asymptotic tests, and yield reliable inference in moderately sized
samples.
Medium-term Results of Body Balance Trainings in Primary School-Aged Children with Generalized Joint Hypermobility and Symptomatic Mobile Flat Foot: Cohort Study
Authors: Dimitrieva Alena Yu. , Kenis Vladimir M. 
Published: November 2021

Background. Mobile flat foot etiology and its correlations with postural imbalance remain topical issues for now, especially in children with generalized joint hypermobility. Additionally, it is poorly known that complaints prevail in children with mobile flat foot and joint hypermobility, and whether existing complaints are associated with foot deformation.Objective. The aim of the study is to estimate medium-term effects of body balance trainings on the height of longitudinal arch of the foot and on the complaints structure in primary school-aged children with generalized joint hypermobility.Methods. The study included 114 primary school-aged children (7–11 years old) with mobile symptomatic flat foot who were divided into four groups: I — control group of children who did not perform training; II — children who performed standard complex of rehabilitation exercises recommended for flat foot; III — children who performed a specially designed complex of exercises for body balance training; IV — children exercised on unstable platform. The foot examination included: clinical assessment of feet shape and position (FPI-6 scale), visual and manual mobility tests, computer scanning with calculation of anthropometric indices (basic anthropometric parameters were calculated from scanned foot images). Clinical evaluation of balance was carried out according to the BESS (Balance Error Scoring System) scale and computer pedobarometry. Assessment of complaints structure was carried out according to the Oxford Child Foot Condition Questionnaire.Results. Children of control group significantly increased the number of errors in performing tests compared to the baseline data (p = 0.034) according to the BESS scale. No statistically significant changes were obtained in children of the second group (p = 0.08). Total number of errors committed by children of third and fourth groups on unstable platform decreased by 2.9 times and 3.4 times, respectively (p = 0.022 and p = 0.044). Decrease in partial load on medial longitudinal arch of foot in step cycle in average by 2.0–3.5 times compared to baseline parameters was revealed in children of third and fourth groups. Moreover, children of third and fourth groups have shown improvement in parameters regarding the shape and position of the feet by average of 1.3–1.7 times higher compared to the parameters of the feet of children performing standard complex of rehabilitation exercises (p = 0.036).Conclusion. This study has shown the efficacy of body balance training in increasing the height of longitudinal arch of the foot and good dynamics in the structure of complaints in primary school-aged children with generalized joint hypermobility and symptomatic mobile flat foot.
Fast Identification of Volcanic Tremor and Lahar Signals during the 2009 Redoubt Eruption Using Permutation Entropy and Supervised Machine Learning
Authors: Konstantinou Kostas I. , Ayu Rahmalia Diah , Nurfitriana Izaina , Ichihara Mie 
Published: November 2021

Abstract
Despite their usefulness for volcano monitoring, emergent seismic signals, such as volcanic tremor or signals generated by lahars, are difficult to identify with confidence in a timely fashion. Machine-learning algorithms offer an objective alternative to traditional methods of identifying such volcanoseismic signals, because they are able to handle quickly large amounts of data, while requiring little input from the user. In this work, we combine permutation entropy and centroid as well as dominant frequency with supervised machine learning to evaluate their potential in identifying volcanic tremor and lahar signals recorded during the 2009 Redoubt volcano eruption. The particular dataset was chosen for the reason that the properties and occurrence times of the volcanoseismic signals during the eruption are well known from previous studies. We find that the selected features can effectively discriminate both types of signals against the seismic background, especially for stations that are near the source. Results show that the identification success rate for volcanic tremor reaches up to 96%, whereas this rate becomes up to 91% for lahar signals. The calculation of the features as well as the application of the machine-learning algorithms is fast, allowing their implementation in the operational environment of a volcano observatory during a volcanic crisis. Finally, the proposed methodology can potentially be used to objectively identify other emergent seismic signals such as tectonic tremor along subduction zones, glacial tremor, or seismic signals generated during landslides.
Rethinking the Seismic History of the Gulf of Patti (Northeast Sicily, Italy): New Insights from the Local Historical Archives
Authors: D’Amico Maria , Castelli Viviana , Maugeri Monica 
Published: November 2021

Abstract
Improving the knowledge of the seismic history of a region plays a key role in the evaluation of recurrence relations for probabilistic seismic hazard analyses. In this study, we present the results of an investigation carried out in two local historical archives in northeast Sicily, Italy. Several letters, petitions, and reports describing the effects of some earthquakes that occurred between the seventeenth and the eighteenth centuries in the Gulf of Patti area were found and analyzed. This contributed in filling the knowledge gap about a series of moderate-to-large seismic events that were overshadowed by catastrophic earthquakes with major impacts both on human losses and cultural heritage. We describe this experience in the hope that other historians will take up the work, looking for other northeast Sicily local archives to investigate because we believe this is the right way toward a better definition of the seismic history of one of the most seismically active regions of Italy.
PRODUCTION OF ENZYMES IN PREDOMINANT THERMOPHILIC FUNGI AVAILABLE FROM ORGANIC SUBSTRATES
Authors: Birajdar G.M. , Bhale Udhav 
Published: November 2021

Present investigation describes that the study site comes under Aurangabad Division Maharashtra and it falls in Deccan Plateau Zone of India. It was collected different types of organic substrates viz. vermiompost, poultary manure, baggase, farm yard manure (FYM), soil, Ash etc. Isolated thermophilic predominant fungi thermophilic fungi viz.Aspergillus niger, Mucor mucedo,Humicola
insolens,Trichoderma harzianum,T. viride,Penicillium duponti,Fusarium oxysporun and Chaetomium thermophilum were carried out for the production of enzymes. Isolated predominant thermophilic fungi were evaluated on different types of enzymes. Among tested thermophilic fungi, the highest ativity was observed in C. thermophilium (20mm) followed by T. harzianum (19.50mm) In lipase, M. mucedo (15.40mm) was found maximum followed by F. oxysporun. Cellulase activity was found highest in A. nige (25mm) followed by others. In case of xylanase, catalase, peroxidase and esterase activities were found maximum, minimum and medium even negative in some fungi. Maximum pectinase activity was detected from H. insolens (52.26 @ 0 min) and (74.25 @ 10 min) and in case of M. mucedo, F. oxysporun and C. thermophilium was found most extreme while least in A. niger (30.12) and P. duponti (33.47) @ 0 minute.

Key words: Organic Substrates, Thermophilic Fungi, Enzymes
La argumentación por medio de la comunidad de indagación
Authors: Álvarez Londoño Sebastián , Medina Cáceres Olga Jeaneth , Grimaldos Fuentes Camilo Alejandro 
Published: November 2021

El objetivo del presente artículo es compartir los avances del trabajo de investigación homónimo que se adelanta en la Maestría en Educación con Énfasis Profundización de la Universidad Pedagógica y Tecnológica de Colombia. Se presentará una reflexión acerca de los hallazgos teóricos sobre el desarrollo de competencias argumentativas por medio de la implementación de la comunidad de indagación, según lo propuesto en el programa de Filosofía para Niños (FpN). La metodología parte de una revisión bibliográfica, especialmente de artículos de investigación encontrados en revistas indexadas; posteriormente se elaboran fichas temáticas para hacer un análisis de las principales categorías relacionadas con el tema. Para establecer la correlación entre las competencias argumentativas y la comunidad de indagación, el presente escrito se organiza temáticamente en tres apartados; el primero menciona los elementos fundamentales de FpN y comunidad de indagación; planteando cómo este es un proyecto ético-político, en segundo lugar se mostrará cómo el programa FpN contribuye al desarrollo de pensamiento crítico y ético; finalmente se hará alusión a cómo la implementación de una comunidad de indagación contribuye al desarrollo de la argumentación en niños y jóvenes, favoreciendo la formación de una ciudadanía democrática.
Deep Learning for Component Fault Detection in Electricity Transmission Lines.
Authors: Maduako Iyke , Igwe Chukwuemeka Fortune , Abah James Edebo , Onwuasoanya Obianuju Esther , Chukwu Grace Amarachi , Ezeji Franklin , Okeke Francis 
Published: November 2021

Abstract
Fault identification is one of the most significant bottlenecks faced by electricity transmission and distribution utilities in developing countries to deliver efficient services to the customers and ensure proper asset audit and management for network optimization and load forecasting. This is due to data scarcity, asset inaccessibility and insecurity, ground-surveys complexity, untimeliness, and general human cost. In view of this, we exploited the use of oblique UAV imagery with a high spatial resolution and a fine-tuned and deep Convolutional Neural Networks (CNNs) to monitor four major Electric power transmission network (EPTN) components. This study explored the capability of the Single Shot Multibox Detector (SSD), a one-stage object detection model on the electric transmission power line imagery to localize, detect and classify faults. The fault considered in this study include the broken insulator plate, missing insulator plate, missing knob, and rusty clamp. Our adapted neural network is a CNN based on a multiscale layer feature pyramid network (FPN) using aerial image patches and ground truth to localise and detect faults via a one-phase procedure. The SSD Rest50 architecture variation performed the best with a mean Average Precision (mAP) of 89.61%. All the developed SSD based models achieve a high precision rate and low recall rate in detecting the faulty components, thus achieving acceptable balance levels of F1-score and representation. Finally, comparable to other works in literature within this same domain, deep-learning will boost timeliness of EPTN inspection and their component fault mapping in the long - run if these deep learning architectures are widely understood, adequate training samples exist to represent multiple fault characteristics; and the effects of augmenting available datasets, balancing intra-class heterogeneity, and small-scale datasets are clearly understood.
Cilostazol Improves Hyperglycemia-Induced Impairment of Angiogenesis by Stimulating Adiponectin/Adiponectin Receptor1/Sirtuin1
Authors: Tseng Shih-Ya , Chang Hsien-Yuan , Li Yi-Heng , Chao Ting-Hsing 
Published: November 2021

Abstract
Background: Cilostazol is an antiplatelet agent with vasodilating effects that functions by increasing the intracellular concentration of cyclic adenosine monophosphate. However, the effect of cilostazol on adiponectin is still unclear. Purpose: We investigated the effects of cilostazol on adiponectin/adiponectin receptors and the Sirtuin 1 (SIRT1)/AMP-activated protein kinase (AMPK) signaling pathway to prevent high glucose (HG)-induced impairment of angiogenesis in vitro and in vivo. Methods and Results: Human umbilical vein endothelial cells (HUVECs) and human aortic smooth muscle cells (HASMCs) were cocultured in HG conditions. Adiponectin concentrations in the supernatant were significantly increased when HASMCs were treated with cilostazol but not significantly changed when only HUVECs were treated with cilostazol. Cilostazol treatment restored the expression of the adipoR1 and SIRT1 proteins and upregulated the phosphorylation of AMPKa1 in the HUVECs treated with HG but not adipoR2. Cilostazol prevented apoptosis and stimulated proliferation, chemotactic motility and capillary-like tube formation in HG-treated HUVECs through the adipoR1/AMPK/SIRT1 signaling pathway. In cilostazol-treated mice, recovery of the blood flow ratio after hindlimb ischemia and circulating CD34+CD45dim cells were significantly attenuated by adipoR1 knockdown but not adipoR2 knockdown. The expression of SIRT1, phosphorylation of AMPKa1/acetyl-CoA carboxylase and Akt/endothelial nitric oxide synthase in ischemic muscles were significantly attenuated by gene knockdown of adipoR1. Conclusions: Cilostazol prevents HG-induced endothelial dysfunction in vascular endothelial cells and enhances angiogenesis in hyperglycemic mice by upregulating the expression of adiponectin/adipoR1 and its SIRT1/AMPK downstream signaling pathway.
Implementation Strategies to Promote Measurement-Based Care in Schools: Evidence from Mental Health Experts Across the United States
Authors: Connors Elizabeth H , Lyon Aaron R , Garcia Kaylyn , Sichel Corianna , Hoover Sharon , Weist Mark D , Tebes Jacob 
Published: November 2021

Abstract
Background: Despite an established, comprehensive taxonomy of implementation strategies, minimal guidance exists for how to select and adapt strategies to specific services and contexts. We employed a replicable method to identify the most feasible and important implementation strategies to increase mental health providers’ use of measurement-based care (MBC) in schools. MBC is the routine use of patient-reported progress measures throughout treatment to inform patient-centered, data-driven treatment adjustments. Methods: A national sample of 52 school mental health providers and researchers completed two rounds of modified Delphi surveys to rate the relevance, importance, and feasibility of 33 implementation strategies identified for school settings. Strategies were reduced and definitions refined using a multimethod approach. Final importance and feasibility ratings were plotted on “go-zone” graphs and compared across providers and researchers to identify top-rated strategies. Results: The initial 33 strategies were rated as “relevant” or “relevant with changes” to MBC in schools. Importance and feasibility ratings were high overall for both survey rounds; importance ratings (3.61 - 4.48) were higher than feasibility ratings (2.55 – 4.06) on average. Survey 1 responses resulted in a reduced, refined set of 21 strategies, and six were rated most important and feasible on Survey 2: 1) assess for readiness and identify barriers and facilitators; 2) identify and prepare champions; 3) develop a usable implementation plan; 4) offer a provider-informed menu of free, brief measures; 5) develop and provide access to training materials; and 6) make implementation easier by removing burdensome documentation tasks. Provider and researcher ratings were not significantly different, with a few exceptions: providers reported higher feasibility and importance of removing burdensome paperwork than researchers, and providers reported higher feasibility of train-the trainer approaches than researchers; researchers reported higher importance of monitoring fidelity than providers. Conclusions: The education sector is the most common setting for child and adolescent mental health service delivery in the United States. Effective MBC implementation in schools has the potential to elevate the quality of care received by many children, adolescents and their families. This empirically-derived, targeted list of six implementation strategies offers potential efficiencies for future testing of MBC implementation in schools.
Landslide Susceptibility Region Mapping Using GIS, Analytic Hierarchy Process Model, and Multi-Criteria Analysis at the Chemoga Watershed, Upper Blue Nile, Ethiopia
Authors: Desalegn Hunegnaw , Mulu Arega , Damtew Banchiamlak 
Published: November 2021

Abstract
Landslide susceptibility consists of an essential component in the day-to-day activity of human beings. A landslide incident typically happening at a low rate of recurrence when compared and in contrast to other events. This might be generated into main natural catastrophes relating to widespread and undesirable sound effects. Therefore, based on this perception and merging with the expert approach that has been the propensity to encourage and defy extreme physical development to generate a methodology to use GIS, AHP, and Multi-criteria decision analysis for landslide susceptibility maps. A geographic information system is a grouping with additional methods, such as the method for multi-criteria decision making. MCDA techniques are applied under such circumstances to categorize and class decisions for successive comprehensive estimation or else to state possible from impossible potentiality with various landslides. Analytical Hierarchy Process (AHP) constructively applies for conveying influence to different criteria within Multi-criteria decision analysis. The causative landslide weights utilized within this research were elevation, slope, aspect, Soil type, Lithology, Distance to stream, Land use land cover, rainfall and drainage density achieved from various sources. Subsequently, to explain the significance of each constraint into landslide susceptibility weights of all factors were finding out AHP technique. Generally, landslide susceptibility maps of all factors were multiplied to their weights to acquire with the AHP technique. The result showed that the AHP methods are comparatively good quality estimators of landslide susceptibility identification within the chemoga watershed. As the result, the Chemoga watershed area of landslide susceptibility map classes was classified as 46.52%, 13.83%.18.71%, 15.39%, and 5.55% of the occurred landslide fall to very low, low, moderate, high, and very high susceptibility zones respectively. Performance and accuracy of modeled maps have been established using GPS field data and Google earth data landslide map and Area under Curve (AUC) of the Receiver Operating Characteristic curve (ROC). The research outcomes inveterate the very good test consistency of the generated maps. As the result, validation depends on the ROC specifies the accuracy of the map formed with the AHP merged through weighted overly method illustrated very good accuracy of AUC value 81.45%.