Miracle-dz/UniFAR-FTUs huggingface dataset:
Contribution of the genomic and nutritional differentiation to the spatial distribution of bacterial colonies

Colony growth is a common phenomenon of structured populations dispersed in nature; nevertheless, studies on the spatial distribution of colonies are largely insufficient. Here, we performed a systematic survey to address the questions of whether and how the spatial distribution of colonies was influenced by the genome and environment. Six Escherichia coli strains carrying either the wild-type or reduced genomes and eight media of varied nutritional richness were used to evaluate the genomic and environmental impacts, respectively. The genome size and nutritional variation contributed to the mean size and total area but not the variation and shape of size distribution of the colonies formed within the identical space and of equivalent spatial density. The spatial analysis by means of the Voronoi diagram found that the Voronoi correlation remained nearly constant in common, in comparison to the Voronoi response decreasing in correlation to genome reduction and nutritional enrichment. Growth analysis at the single colony level revealed positive correlations of the relative growth rate to both the maximal colony size and the Voronoi area, regardless of the genomic and nutritional variety. This result indicated fast growth for the large space assigned and supported homeostasis in the Voronoi correlation. Taken together, the spatial distribution of colonies might benefit efficient clonal growth. Although the mechanisms remain unclear, the findings provide quantitative insights into the genomic and environmental contributions to the growth and distribution of spatially or geographically isolated populations.
Editorial: Further advances in understanding the endocrine cancer microenvironment

COPYRIGHT © 2022 Coperchini, Melillo and Rotondi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. TYPE Editorial PUBLISHED 24 August 2022 DOI 10.3389/fendo.2022. 1009963
Automatic detection and delineation of pediatric gliomas on combined [18F]FET PET and MRI

Introduction Brain and central nervous system (CNS) tumors are the second most common cancer type in children and adolescents. Positron emission tomography (PET) imaging with radiolabeled amino acids visualizes the amino acid uptake in brain tumor cells compared with the healthy brain tissue, which provides additional information over magnetic resonance imaging (MRI) for differential diagnosis, treatment planning, and the differentiation of tumor relapse from treatment-related changes. However, tumor delineation is a time-consuming task subject to inter-rater variability. We propose a deep learning method for the automatic delineation of O-(2-[18F]fluoroethyl)-l-tyrosine ([18F]FET PET) pediatric CNS tumors. Methods A total of 109 [18F]FET PET and MRI scans from 66 pediatric patients with manually delineated reference were included. We trained an artificial neural network (ANN) for automatic delineation and compared its performance against the manual reference on delineation accuracy and subsequent clinical metric accuracy. For clinical metrics, we extracted the biological tumor volume (BTV) and tumor-to-background mean and max (TBRmean and TBRmax). Results The ANN produced high tumor overlap (median dice-similarity coefficient [DSC] of 0.93). The clinical metrics extracted with the manual reference and the ANN were highly correlated (r ≥ 0.99). The spatial location of TBRmax was identical in almost all cases (96%). The ANN and the manual reference produced similar changes in the clinical metrics between baseline and follow-up scans. Conclusion The proposed ANN achieved high concordance with the manual reference and may be an important tool for decision aid, limiting inter-reader variance and improving longitudinal evaluation in clinical routine, and for future multicenter studies of pediatric CNS tumors.
Mind-body-medicine and comprehensive lifestyle-modification in patients with Crohn's disease—Feasibility of a randomized controlled trial under pandemic circumstances

Introduction Mind-body medicine (MBM) focuses on stress reduction and lifestyle changes. The primary objective of this pilot trial was to test study feasibility of a complex integrative MBM program for patients with Crohn's disease (CD), especially in rural regions, and under pandemic conditions. Methods Patients were stratified and randomized to the intervention group (IG) or the control group (CG). The intervention included a weekly 6-h session for 10 weeks. The CG (waiting list) received an initial 90-min workshop and started the intervention 9 months later. The primary outcome for study feasibility was recruitment and retention rates, as well as reasons for drop-out. The trial took place in Bamberg, Germany (September 2020 to December 2021). Results Totally 700 members of the German Crohn's and Colitis Organization—DCCV—were contacted. A total of 15% (102/700; 95% CI 12–17%) expressed interest to participate. Following screening, 41% (95% CI 32–50) were randomized to IG (n = 22) and CG (n = 20). The patients were on average (±standard deviation) 48 ± 13 years old, 67% were female, and have been suffering from CD for 20 ± 12 years. Patients traveled 71.5 ± 48.7 km (range: 9–227 km) to the intervention with no differences between IG and CG. At the 6-month follow-up, 36/42 (86%, 95% CI 74–95%) participants completed final assessment and 19/22 (86%, 95% CI 70–100%) the intervention. The most important reasons for non-responding were work-related (12/60; 20%) and for or drop-out pandemic-related anxiety (3/6). No patient and staff member became infected with SARS-CoV-2 during the study. Conclusion The feasibility of the MBM study was confirmed in terms of predefined recruitment and retention criteria, both despite difficult conditions (including the rural setting) and patients' fears associated with the pandemic. It was crucial to develop appropriate hygiene and safety concepts that enable chronically ill patients to participate in helpful group-based interventions even under pandemic conditions. Clinical trial registration ClinicalTrials.gov, identifier: NCT05182645.
Ammonia-oxidizing archaea and ammonia-oxidizing bacteria communities respond differently in oxy-gen-limited habitats

Ammonia-oxidizing archaea (AOA) and bacteria (AOB) are the most important ammonia oxidation functional community, while the coastal environment just provides a different oxygen environment for the ammonia oxidation process. However, few surveys concentrated on the influence of oxygen concentration on the niche specialization of AOA and AOB in the ocean intertidal zones. Here, high-throughput sequencing by Illumina MiSeq and qPCR were applied to detect the change of abundance, diversity as well as community structure of both AOA and AOB with 0–60 cm sediments depth in the intertidal zone in Qingdao, China. Results showed that the AOA/AOB amoA gene copy numbers and AOA/AOB OTU numbers rate increased as sediment depth went more profound, which indicated that AOA was more adaptive to oxygen-limited niches compared to AOB. Oxygen indeed led to the niche specialization of AOA and AOB in intertidal sediments. The dominant AOA and AOB were the clusters of Nitrosopumilus and Nitrosospira, respectively, which indicated ecological success in the intertidal zone. A significant and positive correlation (p < 0.01) between AOB abundance/AOB OTU numbers and Oxidation-reduction potential (ORP) was observed. In addition, both total nitrogen (TN) (p < 0.01) and pH (p < 0.05) were significantly negatively correlated to AOB abundance. TN was also significantly negatively correlated to AOB OTU numbers (p < 0.05). Hence, oxygen led to niche specialization of AOA and AOB, especially under anoxic conditions, AOA played a dominant role in the process of ammonia oxidation. The Nitrosopumilus and Nitrosospira clusters were the dominant AOA and AOB, respectively, representing an ecological success in the intertidal zone.
Gαi protein subunit: A step toward understanding its non-canonical mechanisms

The heterotrimeric G protein family plays essential roles during a varied array of cellular events; thus, its deregulation can seriously alter signaling events and the overall state of the cell. Heterotrimeric G-proteins have three subunits (α, β, γ) and are subdivided into four families, Gαi, Gα12/13, Gαq, and Gαs. These proteins cycle between an inactive Gα-GDP state and active Gα-GTP state, triggered canonically by the G-protein coupled receptor (GPCR) and by other accessory proteins receptors independent also known as AGS (Activators of G-protein Signaling). In this review, we summarize research data specific for the Gαi family. This family has the largest number of individual members, including Gαi1, Gαi2, Gαi3, Gαo, Gαt, Gαg, and Gαz, and constitutes the majority of G proteins α subunits expressed in a tissue or cell. Gαi was initially described by its inhibitory function on adenylyl cyclase activity, decreasing cAMP levels. Interestingly, today Gi family G-protein have been reported to be importantly involved in the immune system function. Here, we discuss the impact of Gαi on non-canonical effector proteins, such as c-Src, ERK1/2, phospholipase-C (PLC), and proteins from the Rho GTPase family members, all of them essential signaling pathways regulating a wide range of physiological processes.
Paras - A Private NFT Protocol

Non-fungible tokens (NFTs) are a blockchain application that has recently witnessed significant success. However, NFT marketplaces are majorly built on popular blockchain platforms that do not provide privacy tools. As a result, NFTs are easily visible to everyone. This has naturally given rise to various issues, including stolen/duplicate NFTs and attacks like shill trading. Furthermore, this architecture fails to reflect the real-life privacy notion as it digitizes unique physical goods. Inthis project, we build Paras – a blockchain-agnostic protocol that offers privacy to NFTs. Specifically, one may hide the real NFTs and only display a reference to them on marketplaces, hide seller and bidder identities, hide bid values and user wallet balances. Paras is based on cryptographic primitives, such as, threshold encryption and robust secret sharing. It does not rely on any trusted execution environments for security, unlike some existing protocols in this direction.
Bulk Compton Emission in the Gamma-Ray Burst Internal Shock Model

We investigate the role of the bulk Compton scattering process in the internal shock model. We numerically show that the radiation field created by internal shocks does not affect the efficiency of the energy conversion in the shocks even if fireball outflows have highly nonuniform velocity distributions. However, the bulk Compton scattering produces an additional high-energy component, especially when variability in the outflows arises because of a modulation of the mass injected into a constant energy flow. We show that an isotropic energy of 1050-1051 ergs could be radiated in the range of 100 MeV-GeV through the scattering process, provided that the shell's Lorentz factor varies between 10 and 104.
Dark Sector Physics at High-Intensity Experiments

Is Dark Matter part of a Dark Sector? The possibility of a dark sector neutral under Standard Model (SM) forces furnishes an attractive explanation for the existence of Dark Matter (DM), and is a compelling new-physics direction to explore in its own right, with potential relevance to fundamental questions as varied as neutrino masses, the hierarchy problem, and the Universe's matter-antimatter asymmetry. Because dark sectors are generically weakly coupled to ordinary matter, and because they can naturally have MeV-to-GeV masses and respect the symmetries of the SM, they are only mildly constrained by high-energy collider data and precision atomic measurements. Yet upcoming and proposed intensity-frontier experiments will offer an unprecedented window into the physics of dark sectors, highlighted as a Priority Research Direction in the 2018 Dark Matter New Initiatives (DMNI) BRN report. Support for this program -- in the form of dark-sector analyses at multi-purpose experiments, realization of the intensity-frontier experiments receiving DMNI funds, an expansion of DMNI support to explore the full breadth of DM and visible final-state signatures (especially long-lived particles) called for in the BRN report, and support for a robust dark-sector theory effort -- will enable comprehensive exploration of low-mass thermal DM milestones, and greatly enhance the potential of intensity-frontier experiments to discover dark-sector particles decaying back to SM particles.
Image retrieval using a scale-invariant feature transform bag-of-features model with salient object detection

How to effectively retrieve digital images is a focus of image retrieval research. Developed in the 1990s, content-based image retrieval (CBIR) systems are used to extract low-level visual features. However, semantic gaps exist between these features and high-level semantic concepts. This study proposes an image retrieval solution based on a bag-of-features (BoF) model integrated with scale-invariant feature transform (SIFT) and salient object detection. An image search system based on this image retrieval solution, which used object images as the query image, was subsequently constructed. Overall, the results verify the feasibility of the object-based image retrieval solution. Finally, the enhanced image search method and precision enabled constructing an image search system. The system is expected to improve through the search pattern, as well as improve the accuracy of images search, images search system to make a real attempt to solve the huge amount of data and images search difficult problems arising.
Case Report: Metastasis of Malignant Intracranial Meningioma to the Lung: Report of a Case and Review of the Relevant Literature

Background and Importance: Distant extracranial metastasis of meningioma is rare, and the pathophysiology of metastasis in meningioma remains a topic of debate. This study aimed to describe a patient who suffered from multiple pulmonary metastases of meningioma. Case Presentation: This report introduced a rare case of a 47-year-old female who presented with right hemiparesis. Cranial Computed Tomography (CT) demonstrated a homogeneously enhanced tumor in the left temporal lobe. The patient underwent tumor resection; the pathological result was found to be World Health Organization (WHO) grade I meningothelial meningioma. Recurrence of the tumor transpired after two years and a second operation was performed. WHO grade II atypical meningioma was diagnosed. Subsequently, the patient developed a chronic cough and her chest x-ray showed multiple lung masses. CT-guided biopsy of the right lung mass was performed. Finally, pulmonary metastatic meningioma was diagnosed. Conclusion: Distant extracranial metastasis and malignant transformation of meningioma involve the genetic alteration of a tumor, which should be studied further.
Monocular Depth Estimation for Light-Weight Real-Time Obstacle Avoidance

Autonomous nano-drones are becoming increasingly popular. Their light weight and small size provide major advantages in safety and maneuverability, being able to navigate through dense crowds or narrow spaces. These properties make nanodrones promising for indoor environments where they can be used in areas inaccessible or dangerous to humans. To push the state-of-the-art for the autonomy of nano-drones the International Micro Air Vehicle (IMAV) organizes the Nanocopter AI Challenge. In this competition teams need to fly a nano-drone through an obstacle course. The main challenge is working with the limited hardware of the nano-drone, being equipped with a monocular gray-scale camera and a small neural network processor. This work covers the obstacle avoidance aspect of the competition. Using recent developments in monocular depth estimation (MDE) for embedded devices we develop a real-time light-weight control algorithm. The most optimal steering angle is extracted by applying a horizontal strip of average bins and three criteria to the generated depth map. We compare the influence on performance of using a metric or inverse depth map by testing and evaluating two light-weight MDE models in a simulated environment. Simultaneously, the influence of the number of average bins is tested. The best performing control algorithm, using an inverse depth map and 5 bins, is able to reach the goal at least 80% of the time in three increasingly challenging stages.
ASSESSMENT OF WORKLIFE AREAS, TRUST IN SUPERVISOR AND INTERPERSONAL TRUST AS CONDITIONS OF SEVERITY OF STRESS AT WORK

Objectives: The aim of the paper is to present the findings from a study of the relationships between perception of worklife areas and trust in supervisor and interpersonal trust on the one hand, and assessment of the severity of stress at work on the other hand. Material and Methods: The study involved 1113 individuals working in different Polish organizations. The Perceived Stress Scale (PSS-10) was used to measure stress severity. Assessments of worklife areas were measured using the Areas of Worklife Survey, while trust was measured using the Trust in Supervisor Scale and the Interpersonal Trust Measures, a tool for measuring trust in co-workers. Results: The regression analysis results prove that stress severity depends to the largest extent on the assessment of worklife areas (workload, reward, and values), as well as trust in the skills and competencies of the supervisor and trust in co-workers, based on cognitive factors. The role of trust in the supervisor, emphasizing the latter's benevolence and the belief in their integrity and of trust in co-workers, based on emotions, and the relationships of these variables with stress require clarification. The model turned out to be statistically significant, the variables included in the model explain 45% of the variability of the dependent variable. Conclusions: Assessment of worklife areas is more significant for stress level prediction than the trust dimensions studied. Conclusions concerning the relationships between trust and stress must be cautious, and the matter should be studied further. Int J Occup Med Environ Health. 2022;35(6):719 – 30
An Intervention Pattern of Family Parent-Child Physical Activity Based on a Smartphone App for Preschool Children during COVID-19

Objective Children's lifestyles, behaviors, and educational activities were affected by COVID-19. The preschool children struggled with the challenge of learning at home and avoiding a rapid decrease in physical activity (PA). This study tested the effectiveness of a family-based intervention that integrated the family and preschool based on a smartphone app to improve the moderate-to-vigorous PA (MVPA) and physical fitness of preschool children during COVID-19. Methods This 8-week study was conducted using a quasiexperimental pre- and posttest design with a comparison group. A total of 66 pairs of preschool children (30 boys) and their parents and 44 preschool children (24 boys) and their parents composed the experimental group (EG) and the control group (CG), respectively. PA was measured using a GENEActiv waveform triaxial accelerometer. Children's physical fitness was assessed using a battery test from the Chinese National Measurement Standards on People's Physical Fitness for preschool children. Results Preschool children and their parents in the EG participated in less sedentary (p < 0.01) and more light PA (p < 0.01) and MVPA (p < 0.01) compared with those in the CG at the late PA assessment. The EG significantly improved the mean performance of tennis ball throw (p < 0.05), balance beam walk (p < 0.01), and continuous jumping on both feet (p < 0.01) compared to the CG. Conclusions The family parent-child PA intervention based on a smartphone app can effectively increase the MVPA of preschool children and their parents, reduce sedentary time, and improve preschool children's physical fitness. Overall, the family parent-child PA intervention model based on a smartphone app for preschool children designed in this study is feasible and effective.
The Effects of Prenatal Diet on Calf Performance and Perspectives for Fetal Programming Studies: A Meta-Analytical Investigation

Simple Summary Prenatal nutrition can reshape an animal’s developmental trajectory, with persistent long-term consequences for the progeny. In prenatal life, the effects induced by the intrauterine conditions can be expressed as changes in offspring growth and meat quality. Thus, there are diverse sources of variations that contribute to the variations reported for fetal-programming responses in beef cattle, making it difficult to interpret and apply the results. In this sense, finding a common factor among the studies with which to group them may offer an opportunity to quantify the fetal-programming effects holistically and to obtain more applicable responses. With the increasing number of publications, it is important to summarize the quantitative measurements available in the scientific literature. In the present study, data from 35 publications were used. We verified that there is a gap related to the effects of maternal nutrition to females, at the beginning of gestation, and in zebu and crossbred animals, indicating new perspectives for future fetal-programming studies. In summary, our findings highlight an association between prenatal energy and protein supply and its effects on the offspring birth weight, weaning weight, and the daily weight gain of pregnant beef cows during pregnancy. Abstract This meta-analysis aimed to identify knowledge gaps in the scientific literature on future fetal-programming studies and to investigate the factors that determine the performance of beef cows and their offspring. A dataset composed of 35 publications was used. The prenatal diet, body weight (BW), average daily gain (ADG) during pregnancy, and calf sex were elicited as possible modulators of the beef cows and their offspring performance. Then, the correlations between these variables and the outcomes of interest were investigated. A mixed multiple linear regression procedure was used to evaluate the relationships between the responses and all the possible explanatory variables. A knowledge gap was observed in studies focused on zebu animals, with respect to the offspring sex and the consequences of prenatal nutrition in early pregnancy. The absence of studies considering the possible effects promoted by the interactions between the different stressors’ sources during pregnancy was also detected. A regression analysis showed that prenatal diets with higher levels of protein improved the ADG of pregnant beef cows and that heavier cows give birth to heavier calves. Variations in the BW at weaning were related to the BW at birth and calf sex. Therefore, this research reinforces the importance of monitoring the prenatal nutrition of beef cows.