BackgroundCognitive deficits are one of the core features of major depressive disorder that play crucial role in functional recovery. Studies have explored cognitive deficits in MDD, however, given inconsistent results, especially in mild-moderate MDD. Recently, studies have explored music as cognitive ability in various clinical conditions. In MDD, large focus has been on evaluating emotion deficits and just a handful on music cognition. With growing evidence on use of music based intervention to target cognitive deficits, it is imperative to explore (...) nature of music cognitive ability in MDD.AimTo examine musical and neuro-cognitive deficits in patients with mild-moderate MDD.MethodsPatients diagnosed with mild or moderate MDD and matched healthy controls were evaluated on selected tests from NIMHANS Neuropsychological test battery and Montreal battery for evaluation of amusia.ResultsMDD group performed significantly lower than HC on working memory, verbal learning and retention. Three indices were computed for a comprehensive evaluation. Groups did not differ significantly in any of the indices- focused attention, executive function, learning and memory as well as on music cognition. Focused attention and memory index predicted music cognition in HC and the combined group. Attention alone contributed to 62.1% of variance in music cognition. Similarly, music cognition significantly predicted focused attention.ConclusionIndividuals with mild-moderate MDD show significant deficits in working memory, verbal learning and memory, however, not in music cognition. There exists a significant relationship between music cognition and attention, which could be implicated in use of music interventions to ameliorate cognitive deficits. Limitations of study include small sample size and heterogeneity. Future studies on larger cohort examining musical emotion perception and neurocognition is imperative to have deeper understanding of this debilitating condition. (shrink)

In this paper, we propose a person verification scheme using a novel combination of palmprint and speech. The crucial aspect of biometric based verification lies in its use of features in verification. Thus, in this paper, we propose two novel feature extraction methods for palmprint verification. The proposed methods are based on the Gaussian mixture model followed by subspace based approaches such as ICA I and ICA II, called independent component analysis I mixture model and independent component analysis II mixture (...) model for palmprint verification. The speech verification system uses sphericity based measurement for person verification. The proposed multimodal biometric system uses a fairly large database of 150 users. The robustness of the proposed methods is validated by introducing six different types of noises on palmprint images and Gaussian white noise with two different signal-to-noise ratios on speech samples. Then, fusion of palmprint and speech are carried out at match score level using the weighted SUM rule for both clean and noisy conditions. Finally, we compare the results of combined biometric with the results of individual biometric and also the results of the proposed methods against conventional subspace methods. (shrink)

Brief summary of the adhikaranas of Brahamasūtra of Bādarāyaṇa.

A high percent of oxidative energy metabolism is needed to support brain growth during infancy. Unhealthy diets and limited nutrition, as well as other environmental insults, can compromise these essential developmental processes. In particular, iron deficiency anemia has been found to undermine both normal brain growth and neurobehavioral development. Even moderate ID may affect neural maturation because when iron is limited, it is prioritized first to red blood cells over the brain. A primate model was used to investigate the neural (...) effects of a transient ID and if deficits would persist after iron treatment. The large size and postnatal growth of the monkey brain makes the findings relevant to the metabolic and iron needs of human infants, and initiating treatment upon diagnosis of anemia reflects clinical practice. Specifically, this analysis determined whether brain maturation would still be compromised at 1 year of age if an anemic infant was treated promptly once diagnosed. The hematology and iron status of 41 infant rhesus monkeys was screened at 2-month intervals. Fifteen became ID; 12 met clinical criteria for anemia and were administered iron dextran and B vitamins for 1–2 months. MRI scans were acquired at 1 year. The volumetric and diffusion tensor imaging measures from the ID infants were compared with monkeys who remained continuously iron sufficient. A prior history of ID was associated with smaller total brain volumes, driven primarily by significantly less total gray matter and smaller GM volumes in several cortical regions. At the macrostructual level, the effect on white matter volumes was not as overt. However, DTI analyses of WM microstructure indicated two later-maturating anterior tracts were negatively affected. The findings reaffirm the importance of iron for normal brain development. Given that brain differences were still evident even after iron treatment and following recovery of iron-dependent hematological indices, the results highlight the importance of early detection and preemptive supplementation to limit the neural consequences of ID. (shrink)

Six treatises on the textual contents of Badarāyana's Brahmasutras, a work of Vedanta philosophy.

The potential of the soil to hold plant nutrients is governed by the cation-exchange capacity of any soil. Estimating soil CEC aids in conventional soil management practices to replenish the soil solution that supports plant growth. In this study, a multiple model integration scheme supervised with a hybrid genetic algorithm-neural network was developed and employed to predict the accuracy of soil CEC in Tabriz plain, an arid region of Iran. The standalone models and extreme learning machine ) were implemented for (...) incorporation into the MM-GANN. In addition, it was tested to enhance the prediction accuracy of the standalone models. The soil parameters such as clay, silt, pH, carbonate calcium equivalent, and soil organic matter were used as model inputs to predict soil CEC. With the use of several evaluation criteria, the results showed that the MM-GANN model involving the predictions of ELM and ANN models calibrated by considering all the soil parameters as inputs provided superior soil CEC estimates with a Nash Sutcliffe Efficiency = 0.87, Root Mean Square Error = 2.885, Mean Absolute Error = 2.249, Mean Absolute Percentage Error = 12.072, and coefficient of determination = 0.884. The proposed MM-GANN model is a reliable intelligence-based approach for the assessment of soil quality parameters intended for sustainability and management prospects. (shrink)

Several facets of learning, include imaginative writing transformed from digital technologies. Writing creatively fosters students' creativity and critical thinking abilities, an essential part of literacy education. The long-term effects of digital technologies on imaginative writing skills (IWS), despite the increasing usage. The potential of digital tools diversions might constitute the intended benefits and the application of these technologies utilized in educational institutions. The study aims to investigate how digital tool improve writing skills and develop innovative writing abilities by fostering creativity. (...) The research intends to identify which digital tools offer the most significant benefits and how integrated into educational practices to support imaginative writing development. This study included a total of 60 participants, including males (28) and females (32) for imaginative writing skills. Utilizing SPSS software, a statistical analysis of the data was carried out. The data was analyzed using a t-test, ANOVA, and regression analyses. These analyses demonstrated imaginative writing skills. The research findings demonstrated that digital tools greatly enhanced participant’s creative writing skills, vocabulary growth and story structure. The use of digital tools could significantly improve participant’s capacity for imaginative writing skill development. (shrink)

Recent work has argued that there may be cases where no attitude – including withholding – is rationally permissible. In this paper, I consider two such epistemic dilemmas, John Turri’s Dilemma from Testimony and David Alexander’s Dilemma from Doubt. Turri presents a case where one’s only evidence rules out withholding (without warranting belief or disbelief). Alexander presents a case where higher order doubt means one must withhold judgment over whether withholding judgment is rational. In both cases, the authors conclude that (...) no doxastic attitude is warranted. In this paper, I argue against the possibility of these epistemic dilemmas. I argue that withholding cannot be irrational in either case. But meditating on the dilemmas gives us an important – and overlooked – insight into the nature of rational withholding. First, rational withholding is a function of evidence failing to sufficiently support belief or disbelief. As a result, withholding is not symmetrical to belief and disbelief. Second, there can be two distinct grounds for rational withholding. First, propositional withholding, which arises when our evidence does not support belief or disbelief in p. And second, doxastic withholding, which arises when we cannot determine whether our evidence supports belief or disbelief in p. Accepting two grounds of rational withholding licenses a kind of Weak Permissivism. But this Weak Permissivism should not be troubling to anyone. (shrink)

In this article, we present results from a literature review of intrinsic, instrumental, and relational values of nature conducted for the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, as part of the Methodological Assessment of the Diverse Values and Valuations of Nature. We identify the most frequently recurring meanings in the heterogeneous use of different value types and their association with worldviews and other key concepts. From frequent uses, we determine a core meaning for each value type, which is (...) sufficiently inclusive to serve as an umbrella over different understandings in the literature and specific enough to help highlight its difference from the other types of values. Finally, we discuss convergences, overlapping areas, and fuzzy boundaries between different value types to facilitate dialogue, reduce misunderstandings, and improve the methods for valuation of nature's contributions to people, including ecosystem services, to inform policy and direct future research. © 2023 The Author(s). Published by Oxford University Press on behalf of the American Institute of Biological Sciences. (shrink)

I would like to begin with the role of philosophy in solving ecological problems, emphasizing two aspects of its role: the struggle against hostile ideology and the organizing and guiding of activity in the sphere of the development of science and the shaping of its problems. This role of Marxist-Leninist philosophy clearly appears in the complex interdisciplinary problem of the interaction between nature and society.

Сборник содержит материалы докладов участников межвузовской конференции, посвященной проблемам связи философии, культуры и истории, влиянию социально-культурологических аспектов на развитие философских идей.

This is the best general book on philosophy for university students: not just an introduction, but a guide which will serve them throughout their studies. It comprises specially commissioned explanatory surveys of the main areas of philosophy, written by thirteen leading philosophers.

In this paper, the authors have detected a new effect in the area of geomagnetism, related to the behavior of a magnetic dipole freely floating on water surface. An experiment is described in the present paper in which a magnetic dipole fixed upon a float placed on non- magnetized water surface undergoes displacement along with reorientation caused by fine structure of the earth's magnetic field. This fact can probably be explained by secular decrease of the earth's major dipole moment. Further, (...) a detailed study of the phenomenon may create interesting premises for its practical use, particularly for the analysis of fine structure of geomagnetic field and its time-dependent anomalies. A strange behavior of some sea fish species prior to strong earthquakes may be explained if the fish are assumed as 'live magnetic dipoles'. (shrink)

Measuring Chinese character recognition ability is essential in research on character learning among learners of Chinese as a second language. Three methods are typically used to evaluate character recognition competence by investigating the following properties of a given character: pronunciation, meaning, and pronunciation and meaning. However, no study has explored the similar or dissimilar outcomes that these three measurements might yield. The current study examined this issue by testing 162 CSL learners with various L1 backgrounds and Chinese proficiency levels. Participants' (...) performance in character recognition measured using a phonological method, a semantic method, and a PS method was compared, which led to two major findings. In terms of similarity, participants' performance in character recognition and the influence of L1 background and Chinese proficiency level on character recognition was similar across the three methods. As for differences, the semantic method could yield a character recognition test with better quality than the other two methods, and the three methods yielded different best fitting models and showed different predictions for Chinese proficiency across different L1 groups. Theoretical and practical implications of these findings are proposed. (shrink)

На основе философского обобщения исследований интеллектуальной деятельности мозга в монографии воспроизводится механизм материалистического познания действительности и возникновения сознания. Для преподавателей, аспирантов, студентов вузов.