Neurophysiologic markers of primary motor cortex for laryngeal muscles and premotor cortex in caudal opercular part of inferior frontal gyrus investigated in motor speech disorder: a navigated transcranial magnetic stimulation (TMS) study

Transcranial magnetic stimulation studies have so far reported the results of mapping the primary motor cortex (M1) for hand and tongue muscles in stuttering disorder. This study was designed to evaluate the feasibility of repetitive navigated transcranial magnetic stimulation (rTMS) for locating the M1 for laryngeal muscle and premotor cortical area in the caudal opercular part of inferior frontal gyrus, corresponding to Broca’s area in stuttering subjects by applying new methodology for mapping these motor speech areas. Sixteen stuttering and eleven control subjects underwent rTMS motor speech mapping using modified patterned rTMS. The subjects performed visual object naming task during rTMS applied to the (a) left M1 for laryngeal muscles for recording corticobulbar motor-evoked potentials (CoMEP) from cricothyroid muscle and (b) left premotor cortical area in the caudal opercular part of inferior frontal gyrus while recording long latency responses (LLR) from cricothyroid muscle. The latency of CoMEP in control subjects was 11.75 ± 2.07 ms and CoMEP amplitude was 294.47 ± 208.87 µV, and in stuttering subjects CoMEP latency was 12.13 ± 0.75 ms and 504.64 ± 487.93 µV CoMEP amplitude. The latency of LLR in control subjects was 52.8 ± 8.6 ms and 54.95 ± 4.86 in stuttering subjects. No significant differences were found in CoMEP latency, CoMEP amplitude, and LLR latency between stuttering and control-fluent speakers. These results indicate there are probably no differences in stuttering compared to controls in functional anatomy of the pathway used for transmission of information from premotor cortex to the M1 cortices for laryngeal muscle representation and from there via corticobulbar tract to laryngeal muscles.     

Economic,Environmental and Moral Acceptance of Renewable Energy: A Case Study—The Agricultural Biogas Plant at Pěčín

The production of renewable energy in agricultural biogas plants is being widely criticized because—among other things—most of the feedstock comes from purpose-grown crops like maize. These activities (generously subsidized in the Czech Republic) generate competitive pressure to other crops that are used for feeding or food production, worsening their affordability. Unique pretreatment technology that allows substitution of the purpose-grown crops by farming residues (such as husk or straw) was built 6 years ago on a commercial basis in Pě?ín (Czech Republic) under modest funding and without publicity. The design of the concept; financial assessment and moral viewpoint were analyzed based on practical operating data. It showed that the apparatus improves economic, environmental and moral acceptance as well. However, according to the government’s view, public funding for this type of processing was shortened, “because waste materials represent a lower cost”. The impact of such governance was analyzed as well.     

Bayesian techniques for analyzing group differences in the Iowa Gambling Task: A case study of intuitive and deliberate decision-makers

The Iowa Gambling Task (IGT) is one of the most popular experimental paradigms for comparing complex decision-making across groups. Most commonly, IGT behavior is analyzed using frequentist tests to compare performance across groups, and to compare inferred parameters of cognitive models developed for the IGT. Here, we present a Bayesian alternative based on Bayesian repeated-measures ANOVA for comparing performance, and a suite of three complementary model-based methods for assessing the cognitive processes underlying IGT performance. The three model-based methods involve Bayesian hierarchical parameter estimation, Bayes factor model comparison, and Bayesian latent-mixture modeling. We illustrate these Bayesian methods by applying them to test the extent to which differences in intuitive versus deliberate decision style are associated with differences in IGT performance. The results show that intuitive and deliberate decision-makers behave similarly on the IGT, and the modeling analyses consistently suggest that both groups of decision-makers rely on similar cognitive processes. Our results challenge the notion that individual differences in intuitive and deliberate decision styles have a broad impact on decision-making. They also highlight the advantages of Bayesian methods, especially their ability to quantify evidence in favor of the null hypothesis, and that they allow model-based analyses to incorporate hierarchical and latent-mixture structures.     

Development and Preliminary Feasibility Testing of a Decision Support Tool for Childhood Anxiety Treatment

In this practical application, we describe the steps to build a decision-support tool using GeNIe 2.1 software. The method incorporates principles of decision analyses and allows for a systematic strategy to balance treatment efficacy data with patient preferences. We illustrate the utility for helping clinicians and patients choose between two or more efficacious treatment options (CBT, medication, or their combination). Preliminary pilot data from families (n = 5) seeking services at a specialty clinic for childhood anxiety disorders support the usability of the tool and high patient satisfaction. We use case examples and sample graphical output to illustrate how the decision-support system can be used to integrate data on (a) baseline symptom severity, (b) the relative effectiveness of two or more treatment options, and (c) patient preferences and values, to arrive at a personalized treatment recommendation. The decision-support tool enabled child and parent preferences to be explicitly stated and facilitated discussions about how best to incorporate their preferences into an evidence-based treatment strategy.     

J.M. Bocheński’s method of philosophical analysis and contemporary applied ontology

The aim of this article is to reconstruct Bocheński’s method of philosophical analysis as well as to clarify the purpose of that method and its basic elements. In the second part of the paper I will compare Bocheński’s method with the methods of modern applied ontology.     

Lenin's relationship to the ideas of physicists

History and the philosophy of science have played a very important role in dialectical materialism; their results have been destined to support the correctness of the ideas of Marxist philosophers, especially in their application in historical materialism.From this point of view, the circumstances of the origin of the works of the Marxist classics cannot be neglected: Engels wrote hisDialectics in Nature in the period of classical physics, and Lenin published hisMaterialism and Empirio-Criticism at the beginning of the 20th century when our modern physics first began: shortly before the publication of Lenin's book, Röntgen and Becquerel discovered new kinds of radiation, Balmer published his ideas concerning the regularity of the hydrogen spectrum, Plank wrote his first articles about the elementary quantum and Einstein published his three famous articles (1905).During this period, physicists themselves did not understand their results, so important for the further development of physics. In this atmosphere of uncertainty, Lenin — a lawyer and politician — undertook his attempt to criticise the ideas of physicists.We trace one misinterpretation by Lenin of these ideas from books by Mach and Helmholtz.     

Deontic Interpreted Systems

We investigate an extension of the formalism of interpreted systems by Halpern and colleagues to model the correct behaviour of agents. The semantical model allows for the representation and reasoning about states of correct and incorrect functioning behaviour of the agents, and of the system as a whole. We axiomatise this semantic class by mapping it into a suitable class of Kripke models. The resulting logic, KD45_n ^i-j, is a stronger version of KD, the system often referred to as Standard Deontic Logic. We extend this formal framework to include the standard epistemic notions defined on interpreted systems, and introduce a new doubly-indexed operator representing the knowledge that an agent would have if it operates under the assumption that a group of agents is functioning correctly. We discuss these issues both theoretically and in terms of applications, and present further directions of work.