Amygdala activity after subchronic escitalopram administration in healthy volunteers: A pharmaco-functional magnetic resonance imaging study.

Background: Selective serotonin reuptake inhibitors (SSRIs) are used for the treatment of several conditions including anxiety disorders, but the basic neurobiology of serotonin function remains unclear. The amygdala and prefrontal cortex are strongly innervated by serotonergic projections and have been suggested to play an important role in anxiety expression. However, serotonergic function in behaviour and SSRI-mediated neurobiological changes remain incompletely understood.

A Computational Account of the Development and Evolution of Psychotic Symptoms.

The mechanisms of psychotic symptoms such as hallucinations and delusions are often investigated in fully formed illness, well after symptoms emerge. These investigations have yielded key insights but are not well positioned to reveal the dynamic forces underlying symptom formation itself. Understanding symptom development over time would allow us to identify steps in the pathophysiological process leading to psychosis, shifting the focus of psychiatric intervention from symptom alleviation to prevention.

Independent replications reveal anterior and posterior cingulate cortex activation underlying state anxiety-attenuated face encoding.

Anxiety involves the anticipation of aversive outcomes and can impair neurocognitive processes, such as the ability to recall faces encoded during the anxious state. It is important to precisely delineate and determine the replicability of these effects using causal state anxiety inductions in the general population. This study therefore aimed to replicate prior research on the distinct impacts of threat-of-shock-induced anxiety on the encoding and recognition stage of emotional face processing, in a large asymptomatic sample ( = 92).

Cotton morphological traits tracking through spatiotemporal registration of terrestrial laser scanning time-series data.

Understanding the complex interactions between genotype-environment dynamics is fundamental for optimizing crop improvement. However, traditional phenotyping methods limit assessments to the end of the growing season, restricting continuous crop monitoring. To address this limitation, we developed a methodology for spatiotemporal registration of time-series 3D point cloud data, enabling field phenotyping over time for accurate crop growth tracking.

Production of hypernuclei from antiproton capture within a relativistic transport model.

Production yields of single-  hypernuclei from simulated peripheral annihilations of antiprotons after capture on various target nuclei are reported. The initial annihilation process and the production of excited hypernuclei are estimated within the GiBUU transport framework, while their deexcitation process is treated with the ABLA++ code. The yield of excited hypernuclei range from 0.

A computational account of the development and evolution of psychotic symptoms.

The mechanisms of psychotic symptoms like hallucinations and delusions are often investigated in fully-formed illness, well after symptoms emerge. These investigations have yielded key insights, but are not well-positioned to reveal the dynamic forces underlying symptom formation itself. Understanding symptom development over time would allow us to identify steps in the pathophysiological process leading to psychosis, shifting the focus of psychiatric intervention from symptom alleviation to prevention.

Effect of long-acting antipsychotic treatment on psychiatric hospitalization rate in early psychosis patients: a naturalistic study.

Background: The effectiveness of long-acting injectable (LAI) antipsychotics in preventing relapses of first-episode psychosis is currently debated.

Objectives: The study aimed to investigate the number of psychiatric hospitalizations comparing the LAI cohort the oral cohort during different phases of the illness, pre-LAI treatment, during LAI treatment, and after LAI treatment.

Design: A naturalistic study was conducted on two independent cohorts of early psychosis patients receiving treatment from a specific early intervention service.

Exploring hybrid telework: A bibliometric analysis.

Purpose: the aim of this paper is to analyze the evolution of understanding of hybrid telework, especially after the boom experienced in the global pandemic of COVID-19, which has given rise to new ways of working.

Design: /methodology/approach: in this study, bibliometrics and scientific mapping were used to analyze the conceptual structure of hybrid telework based on 104 documents extracted from the Web of Science (WoS) database. Thanks to the co-word analysis performed with SciMAT, the main themes were mapped, and the evolution, importance and relevance of terms related to hybrid telework were identified.

A Qualitative Study Exploring the Experiences and Perceptions of Patients with Hemophilia Regarding Their Health-Related Well-Being, in Salamanca.

Hemophilia is a chronic, congenital/hereditary and X-linked disease, characterized by an insufficiency of factors VIII or IX, which are necessary for blood clotting. Those affected by hemophilia often suffer from particular psychosocial problems, both in the acceptance, coping, treatment and self-management of their disease and in their family and social relationships, which are often mediated by these circumstances. The aim of this study was to explore the experiences of people with hemophilia or their family members, of in a specific region of Spain, regarding the impact of having hemophilia.

Safety and efficacy of underwater versus conventional endoscopic mucosal resection for colorectal polyps: Systematic review and meta-analysis of RCTs.

Conventional endoscopic mucosal resection (C-EMR) is limited by low en-bloc resection rates, especially for large (> 20 mm) lesions. Underwater EMR (U-EMR) has emerged as an alternative for colorectal polyps and is being shown to improve en-bloc resection rates. We conducted a systematic review and meta-analysis comparing the two techniques.

Constraint of the Nuclear Dissipation Coefficient in Fission of Hypernuclei.

Experimental studies of nuclear fission induced by fusion, transfer, spallation, fragmentation, and electromagnetic reactions in combination with state-of-the-art calculations are successful to investigate the nuclear dissipation mechanism in normal nuclear matter, containing only nucleons. The dissipation mechanism has been widely studied by the use of many different fission observables and nowadays the dissipation coefficients involved in transport theories are well constrained. However, the existence of hypernuclei and the possible presence of hyperons in neutron stars make it necessary to extend the investigation of the nuclear dissipation coefficient to the strangeness sector.

Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks.

Background: Plant architecture can influence crop yield and quality. Manual extraction of architectural traits is, however, time-consuming, tedious, and error prone. The trait estimation from 3D data addresses occlusion issues with the availability of depth information while deep learning approaches enable learning features without manual design.

Corrigendum: Digitalization and digital transformation in higher education: A bibliometric analysis.

[This corrects the article DOI: 10.3389/fpsyg.2022.

Implementation of esophageal endoscopic submucosal dissection in Spain: Results from the nationwide registry.

Introduction And Aims: The outcomes of endoscopic submucosal dissection (ESD) in the esophagus have not been assessed in our country. Our primary aim was to analyze the effectiveness and safety of the technique.

Material And Methods: Analysis of the prospectively maintained national registry of ESD.

Implementation model of data analytics as a tool for improving internal audit processes.

Introduction: The aim of this article is to understand the importance of internal audit departments todays-part of corporate governance and guardian of the organisation's culture and climate-, as well as the opportunities that new technologies offer to increase their effectiveness and efficiency.

Methods: To this end, based on an exhaustive review of the literature, the concepts of internal audit and data analytics are related, and a framework is proposed for the implementation of a technology of these characteristics in an internal audit department.

Results: The results of the research show that those companies that invest resources in readapting their processes to technological change are likely to obtain better results than those organisations that keep their management procedures obsolete.

Neuropsychological markers of antidepressant action: a secondary analysis of the ANTLER randomised controlled trial.

Background: Antidepressants have been proposed to act via their influence on emotional processing. We investigated the effect of discontinuing maintenance antidepressant treatment on positive and negative self-referential recall and the association between self-referential recall and risk of relapse.

Methods: The ANTLER trial was a large ( = 478) pragmatic double-blind trial investigating the clinical effectiveness of long-term antidepressant treatment for preventing relapse in primary care patients.

Underwater versus conventional EMR of large nonpedunculated colorectal lesions: a multicenter randomized controlled trial.

Background And Aims: Underwater EMR (UEMR) is an alternative procedure to conventional EMR (CEMR) to treat large, nonpedunculated colorectal lesions (LNPCLs). In this multicenter, randomized controlled clinical trial, we aimed to compare the efficacy and safety of UEMR versus CEMR on LNPCLs.

Methods: We conducted a multicenter, randomized controlled clinical trial from February 2018 to February 2020 in 11 hospitals in Spain.

Digitalization and digital transformation in higher education: A bibliometric analysis.

The new paradigms that are emerging because of technological and social advances derived from the massive use of information and communication technologies (ICTs) are generating a transformative process that is modifying all economic sectors, and education is no exception. Higher Education Institutions (HEIs) are carrying out such transformation, reacting to the need of adaptation to this new reality, experiencing a complete cultural change that is challenging the attitudes, actions and values shared by the members and stakeholders of these organizations. In order to analyze the scientific literature about this topic, a bibliometric analysis has been carried out covering the period 1900-2021, considering a sample of 469 articles included in the Web of Science (WoS) database.

Tentorial dural arteriovenous fistula with perimedullary venous drainage-associated cervical myelopathy: illustrative case.

Background: Tentorial dural arteriovenous fistulas (DAVFs) with perimedullary venous drainage causing cervical myelopathy are very uncommon conditions with an extremely aggressive behavior. When the characteristic radiological clues are missing, the unspecific clinical picture may cause delay and make the diagnosis challenging.

Observations: Here the authors report a case of a 58-year-old man who developed progressive spastic tetraparesis and dyspnea with an extensive mild enhancing cervical cord lesion initially oriented as a neurosyphilis-associated transverse myelitis.

Multicenter Comparative Analysis of Late Open Conversion in Patients With Adherence and Nonadherence to Instructions for Use Endovascular Aneurysm Repair.

Purpose: The widespread adoption of endovascular aneurysm repair (EVAR) as preferred treatment modality for abdominal aortic aneurysm (AAA) has enlarged the number of patients needing open surgical conversion (OSC). The relationship between adherence to Instructions For Use (IFU) and EVAR long-term outcomes remains controversial. The aim of this study is to compare preoperative differences and postoperative outcomes between EVAR patients not adjusted to IFU and adjusted to IFU who underwent OSC.

Cotton Yield Estimation From Aerial Imagery Using Machine Learning Approaches.

Estimation of cotton yield before harvest offers many benefits to breeding programs, researchers and producers. Remote sensing enables efficient and consistent estimation of cotton yields, as opposed to traditional field measurements and surveys. The overall goal of this study was to develop a data processing pipeline to perform fast and accurate pre-harvest yield predictions of cotton breeding fields from aerial imagery using machine learning techniques.

Visual imagination and cognitive mapping of a virtual building.

We investigated the contribution of visual imagination to the cognitive mapping of a building when initial exploration was simulated either visually by using a passive video walk-through, or mentally by using verbal guidance. Building layout had repeating elements with either rotational or mirror symmetry. Cognitive mapping of the virtual building, determined using questionnaires and map drawings, was present following verbal guidance but inferior to that following video guidance.