Brain Stimulation and Identity

This chapter reflects on the impact of brain stimulation on identity. Following substantial advances in our understanding of the brain, surgeons and neuroscientists have been able to develop powerful new medical interventions that aim to treat disease by modifying electrical activity in the brain. At present, Deep Brain Stimulation (DBS) is the most precise tool that we have at our disposal in this regard; it can target a cubic millimeter of brain tissue. In terms of precision, it stands in stark contrast to drugs that influence brain activity by affecting neurotransmitters across the brain. However, despite its precision, in some rare cases, DBS can have unintended side-effects, including behavioural and emotional changes. The possibility of controlling motivational and emotional states has intrigued scientists since the earliest days of invasive neurostimulation. This prospect raises profound ethical questions, regardless of whether such changes are intentional or an unintended side-effect of treatment. To what extent does it make sense to say that a medical intervention like DBS can change the recipient into “a different person”? The chapter then turns to concepts in moral philosophy, considering the nature of identity and the self.

A Fast and Precise Tool for Multi-Layer Planar Coil Self-Inductance Calculation

An open-source tool that allows for a fast and precise analytical calculation of multi-layer planar coils self-inductance, without any geometry limitation is proposed here. The process of designing and simulating planar coils to achieve reliable results is commonly limited on accuracy and or geometry, or are too time-consuming and expensive, thus a tool to speed up this design process is desired. The model is based on Grover equations, valid for any geometry. The validation of the tool was performed through the comparison with experimental measurements, Finite Element Model (FEM) simulations, and the main analytical methods usually used in literature, with errors registered to be below 2.5%, when compared to standard FEM simulations, and when compared to experimental measurements they are below 10% in the case of the 1-layer coils, and below 5% in the 2-layer coils (without taking into consideration the coil connectors). The proposed model offers a new approach to the calculation of the self-inductance of planar coils of several layers that combines precision, speed, independence of geometry, easy interaction, and no need for extra resources.

A New Set of Tools for the Generation of InSAR Visibility Maps Over Wide Areas

Multi-temporal Interferometric Synthetic Aperture Radar (MTInSAR) is a solid and reliable technique used to measure ground motion in many different environments. Today, the scientific community and a wide variety of users and stakeholders consider MTInSAR a precise tool for ground motion-related applications. The standard product of a MTInSAR analysis is a deformation map containing a high number of point-like measurement points (MP) which carry information on ground motion. The density of MPs is uneven, and they cannot be extracted continuously at large scale due to geometrical distortions and unfavourable landcover. It is a good practice to assess the feasibility of the interferometric analysis ahead of data processing. This technical note proposes a ready-to-use set of tools aimed at updating existing methods for modelling the effects of local topography and land cover on MTInSAR approaches. The goal of the tools is to provide InSAR experts and non-experts with a fast and automatic way to derive visibility maps, useful for pre-processing screening of a target area, and to forecast the expected density of MP over a specified area. Moreover, the visibility maps are a valid support for users to better understand the available standard and advanced interferometric results. Two workflows are proposed: the first generates the so-called Rindex map (Ri_m) to estimate the influence of topography on MP detection, the second is used to derive a land cover-calibrated Ri_m seen as a probabilistic model for MP detection (MPD_m). The proposed set of tools was applied in the context of the Alpine arc, whose climatic, morphological, and land cover characteristics represent a challenging environment for any interferometric approach.

Thermo-Environmental Performance of Four Different Shapes of Solar Greenhouse Dryer with Free Convection Operating Principle and No Load on Product

Solar drying using greenhouse dryers is a viable method from the technical, economic, and environmental perspectives, allowing the drying of agricultural products for conservation purposes in different regions of the world. In Colombia, the drying of aromatic plants such as mint (Mentha spicata) is usually done directly and in open fields, which exposes the product to contamination and loss of quality. Therefore, the objective of this research was to use a three-dimensional computational fluid dynamics (CFD-3D) model previously successfully validated and implemented in this work to study the performance of air flow patterns, temperature, and humidity inside four greenhouse-type dryers contemplated for a region with hot and humid climatic conditions. The results found allowed us to observe that the spatial distribution of temperature and relative humidity are related to the air flows generated inside each dryer, therefore, there were differences of up to 7.91 °C and 23.81% for the same evaluated scenario. The study also allowed us to conclude that the CFD methodology is an agile and precise tool that allows us to evaluate prototypes that have not been built to real scale, which allows us to generate useful information for decision-making regarding the best prototype to build under a specific climate condition.

Psychometric properties of the Chinese Parent Version of the Autism Spectrum Rating Scale: Rasch analysis

The recent adaptation of a Chinese parent version of the Autism Spectrum Rating Scale showed the Modified Chinese Autism Spectrum Rating Scale to be reliable and valid for use in China. The aim of this study was to test the Modified Chinese Autism Spectrum Rating Scale for fit to the Rasch model. We analysed data from a previous study of the Modified Chinese Autism Spectrum Rating Scale which comprised 1593 non-cases and 420 children diagnosed with autism spectrum disorder. We used super items based on groups of locally dependent items and item deletion when necessary to achieve good fit to the model for each of the three subscales identified by Zhou et al. and for the full 59-item Modified Chinese Autism Spectrum Rating Scale. The resulting conversion tables enable the use of genuine unidimensional, interval level scores for the total score and three subscales. Reliability was high with Person Separation Index values ranging from 0.83 to 0.89 for the three subscales and 0.79 for the total scale. In addition, we were able to identify a full-scale version of the Autism Spectrum Rating Scale and its three subscales that are all free of differential item functioning in relation to the five person factors recorded namely age, sex, caseness, relative and city. In future studies, the Teacher version of the Modified Chinese Autism Spectrum Rating Scale needs examination with Rasch analysis. Lay abstract The Autism Spectrum Rating Scale is a behavioural rating scale completed by parents and teachers that is useful for identifying children with an autism spectrum disorder. The development of a modified Autism Spectrum Rating Scale suitable for use in China is important for the identification of children in China with an autism spectrum disorder. In this study, we examined the Modified Chinese Autism Spectrum Rating Scale using a statistical technique known as Rasch analysis. Rasch analysis tests whether the questionnaire meets the standards for modern scientific measurement. We used Rasch analysis to examine data from 2013 children in China including 420 diagnosed with an autism spectrum disorder who had been rated by a parent or grandparent. After removing a small number of items (questions), the Modified Chinese Autism Spectrum Rating Scale met the stringent criteria for Rasch measurement. The availability of a reliable and precise tool for assessing behaviours characteristic of an autism spectrum disorder in Chinese children will improve the identification and diagnosis of autism spectrum disorder in China, thus enabling better provision of support services.

miRador: a fast and precise tool for the prediction of plant miRNAs

Plant microRNAs (miRNAs) are short, non-coding RNA molecules that restrict gene expression via post-transcriptional regulation and function in several essential pathways including development, growth, and stress responses. Accurately identifying miRNAs in populations of small RNA (sRNA) sequencing libraries is a computationally intensive process which has resulted in the misidentification of inaccurately annotated miRNA sequences. In recent years, criteria for miRNA annotation have been refined to reduce these misannotations. Here, we describe miRador, a novel miRNA identification tool that utilizes the most up-to-date, community-established criteria for accurate identification of miRNAs in plants. We combine target prediction and Parallel Analysis of RNA Ends (PARE) data to assess the precision of the miRNAs identified by miRador. We compare miRador to other commonly used miRNA prediction tools and we find that miRador is at least as precise as other prediction tools while being significantly faster than other tools.

WALTER: an easy way to online evaluate telomere lengths from terminal restriction fragment analysis

Background Telomeres, nucleoprotein structures comprising short tandem repeats and delimiting the ends of linear eukaryotic chromosomes, play an important role in the maintenance of genome stability. Therefore, the determination of the length of telomeres is of high importance for many studies. Over the last years, new methods for the analysis of the length of telomeres have been developed, including those based on PCR or analysis of NGS data. Despite that, terminal restriction fragment (TRF) method remains the gold standard to this day. However, this method lacks universally accepted and precise tool capable to analyse and statistically evaluate TRF results. Results To standardize the processing of TRF results, we have developed WALTER, an online toolset allowing rapid, reproducible, and user-friendly analysis including statistical evaluation of the data. Given its web-based nature, it provides an easily accessible way to analyse TRF data without any need to install additional software. Conclusions WALTER represents a major upgrade from currently available tools for the image processing of TRF scans. This toolset enables a rapid, highly reproducible, and user-friendly evaluation of almost any TRF scan including in-house statistical evaluation of the data. WALTER platform together with user manual describing the evaluation of TRF scans in detail and presenting tips and troubleshooting, as well as test data to demo the software are available at https://www.ceitec.eu/chromatin-molecular-complexes-jiri-fajkus/rg51/tab?tabId=125#WALTER and the source code at https://github.com/mlyc93/WALTER.

Mapping Spatial Distribution of Pores in an Additively Manufactured Gold Alloy Using Neutron Microtomography

A crucial criterion for the quality of the additively manufactured parts is the porosity content for achieving an acceptable final relative density. In addition, for jewelry applications, visible pores are unacceptable at or in the vicinity of the surface. In this study, non-destructive 3D neutron microtomography is applied to map the spatial distribution of pores in additively manufactured red-gold samples. The 3D imaging assessment underlines the high relative density of the printed red-gold sample and indicates residual pore sizes are predominantly below the limit of concern for jewelry applications. The 3D maps of pores within printed samples highlight the effect of the scanning strategy on the final quality and location of pores in the printed samples. These results confirm that neutron microtomography is a novel and precise tool to characterize residual porosity in additively manufactured gold alloys and other higher-Z materials where such investigation using other non-destructive methods (such as X-rays) is challenging due to the limited penetration depth.

Validation of I’screen AFLA M1 Milk for Detection of Aflatoxin M1 in Raw Bovine Milk and Powdered Milk: AOAC Performance Tested MethodSM 072002

Background Aflatoxin M1 (AFM1) is the major metabolite of Aflatoxin B1 (AFB1) and can be found in the milk of animals fed with feed containing AFB1. The frequency of occurrence of AFM1 in milk has led to the development of specific quantitative methods of analysis to mitigate the risk of adversely affect human health. Objective: The objective was to demonstrate that I’screen AFLA M1 Milk ELISA kit can quantify AFM1 in raw bovine milk and in powdered milk. Methods Assay performance was evaluated studying lot-to-lot consistency, assay stability, robustness and possible interferences of related molecules. Raw bovine milk samples spiked at 0, 5.0, 20, 50, 100, 200 ng/L of AFM1 and powdered milk reference materials and spiked samples at 100 and 200 ng/L were tested to determine recovery, repeatability and bias. LOD and LOQ were also determined for both matrixes. Results: High selectivity for AFM1 was demonstrated and performances were consistent, robust and stable. The LOQ was validated at 5 ng/L for raw milk and 50 ng/L for powdered milk. Recoveries for spiked raw and powdered milk were 97–122%, with RSDr < 10%, and 106–111% for reference materials, with RSDr < 5%. Conclusions: The data collected validate the method as a selective, specific, sensitive, accurate and precise tool for the analysis of AFM1 in raw bovine milk and powdered milk. Highlights: We demonstrated that I’screen AFLA M1 is a reliable kit and a proper screening tool suitable for high analytical throughputs.