Miracle-dz/UniFAR-FTUs huggingface dataset:
Administration of surgical anesthetic dexmedetomidine improves cognitive and neurological function in infants with congenital heart disease

Objective: The aim of the current study was to investigate the effects of dexmedetomidine on cognitive and neurological function, after anesthesia, in infants with congenital heart disease (CHD). Methods: This study selected and retrospectively analyzed 106 cases of infants diagnosed with CHD. A total of 56 infants received fentanyl combined with midazolam through intravenous injections (control group) before surgery, supplemented with isoflurane during surgery. The other 50 patients received preoperative fentanyl combined with dexmedetomidine via intravenous injections and isoflurane supplementation (observation group). General data, perioperative circulatory data, cognitive function assessment date, and serum NSE, NGF, and BDNF levels were observed. Results: Fluctuations in these indicators in the observation group were significantly lower than those observed in the control group, from the time of incision to the immediate end of surgery (P<0.05). Falling ranges of language and behavioral scores in the observation group were significantly lower than those in the control group (P<0.05). At 3 months after surgery, serum levels of neuron-specific enolase (NSE) in the observation group were lower than those in the control group (P<0.05), but levels of nerve growth factor (NGF) and brain-derived neurotrophic factor (BDNF) in the observation group were significantly higher than those in the control group (P<0.05). Neuron-specific enolase levels, 3 months after surgery, in both groups were significantly lower than levels measured before and 3 days after surgery. However, NGF and BDNF levels were significantly higher than levels measured before and 3 days after surgery (P<0.05). Conclusion: Dexmedetomidine is a worthy anesthetic alternative for reduction of anesthesia-induced neurological and cognitive impairments. Therefore, it should be recommended in clinical practice.
Expectations of LENR Theories

The mechanisms that cause Lattice Enabled (or Low Energy) Nuclear Reactions (LENR) are still not understood, even though much is known empirically about LENR. We provide list of 24 observations from almost three decades of LENR experiments. These observations require theoretical explanations. This paper deals with two aspects of the many theories about the mechanisms. The first is the theories themselves, i.e., their characteristics and results. The few dozen available theories on LENR mechanisms are diverse and complex. Only a lengthy paper could properly summarize their essence, including all assumptions and implications. Such a thorough review of extant LENR theories would be challenging to write. Here, we merely indicate reviews and other sources of information on LENR theories. The second focus of this paper is the status of development of LENR theories, specifically, the completeness of their elaboration. It is possible to detail what is expected of LENR theorists by experimentalists, teachers, students, developers and other interested personnel. We provide and discuss ten questions for LENR theoreticians about the description (characteristics) and status (development) of their ideas. The nearly three decades of theoretical work on LENR has resulted in remarkably few well-developed theories. None of them has yet been adequately tested and widely accepted. There remains a great opportunity for some theoretician to provide the basic understanding of LENR. That understanding would enable or speed the commercialization of this new, clean, promising and much needed energy source. c ⃝ 2018 ISCMNS. All rights reserved. ISSN 2227-3123
Introducing Pandora neoaphidis ( Zygomycetes : Entomophthorales ) Into Populations of Myzus persicae ( Homoptera : Aphididae ) on Flue-Cured Tobacco 1

The entomophthoralean, Pandora neoaphidis (Remaudière & Hennebert) Humber, was successfully introduced into populations of the tobacco-adapted form of the green peach aphid, Myzus persicae (Sulzer), on fluecured tobacco in the field and in the greenhouse. In the field study, the pathogen was introduced three ways: 1) as a combination of infected live aphids and sporulating cadavers of fungus-killed aphids, 2) infected live aphids alone, and 3) triturated cadavers of fungus-killed aphids. These treatments were compared with an untreated control. Two weeks after introduction, 33–37% of the aphids in plots treated with infected live aphids alone or in combination with aphid cadavers were killed or had symptoms of infection compared with 2% infection in untreated control. Infection was only 6% in those treated with the triturated aphid cadavers and it was not significantly different from the infection in untreated control. However, the P. neoaphidis treatments had little impact on aphid populations. In the greenhouse experiment, releases of infected live or cadavers of fungus-killed aphids were equally effective in introducing the pathogen into aphid populations. Although infections progressed up to 21% at 2 weeks after introduction, P. neoaphidis did not reduce aphid populations. This study demonstrates that artificial introduction of P. neoaphidis establishes the pathogen in aphid populations. Such an introduction early in the season might aid in preventing aphid population build up.
Segment2Regress: Monocular 3D Vehicle Localization in Two Stages

—High-quality depth information is required to perform 3D vehicle detection, consequently, there exists a large performance gap between camera and LiDAR-based approaches. In this paper, our monocular camera-based 3D vehicle localization method alleviates the dependency on high-quality depth maps by taking advantage of the commonly accepted assumption that the observed vehicles lie on the road surface. We propose a two-stage approach that consists of a segment network and a regression network, called Segment2Regress . For a given single RGB image and a prior 2D object detection bounding box, the two stages are as follows: 1) The segment network activates the pixels under the vehicle (modeled as four line segments and a quadrilateral representing the area beneath the vehicle projected on the image coordinate). These segments are trained to lie on the road plane such that our network does not require full depth estimation. Instead, the depth is directly approximated from the known ground plane parameters. 2) The regression network takes the segments fused with the plane depth to predict the 3D location of a car at the ground level. To stabilize the regression, we introduce a coupling loss that enforces structural constraints. The efﬁciency, accuracy, and robustness of the proposed technique are highlighted through a series of experiments and ablation assessments. These tests are conducted on the KITTI bird’s eye view dataset where Segment2Regress demonstrates state-of-the-art performance. Further results are available at https://github.com/LifeBeyondExpectations/Segment2Regress
Psychosocial Impact of Acne: A Community Based Cross Sectional Study

Background: It is well-known that acne vulgaris is a common malady of adolescence and is easily recognized Objective: To evaluate the level of impact among acne patients on their quality of life. Methods: A total of 200 patients studied. Acne severity was graded using Global Acne Grading System (GAGS) after the clinical diagnosis. All the patients went through self-administered questionnaire of Cardiff Acne Disability Index (CADI) to fill out, to assess the reflection of patients’ experiences and perceptions. Result: Out of 200 patients, 114(57.0%) were females and 86(43.0%) were males. The maximum number of patients was in the age group of 16-20 years (142/200, 71%). Out of total 86 males, 50 (58.3%) had moderate to severe acne, whereas 62(54.38%) females had such a severe acne. 50.87% (58/114) of females had high CADI scores in comparison to only 27.9(24/86) of males. The impact on quality of life was more in the age-group of 21-30 years even though in this age group clinical severity of acne was mild to moderate only. Conclusion: Study found that individuals with acne had profound emotional, as well as, social impact on their quality of life.
For Distinguished Early Career Contribution to Psychophysiology: Award Address, 1988

The aim of this paper is to review data from my laboratory, which were collected in an attempt to determine whether the facial EMG response is a general component of the emotional reaction. In a number of studies it was found that facial reactions: first, are spontaneously elicited and differ according to the kind of emotional stimuli to which sunjects are exposed; second, are sensitive to learning; third, are consistent with how the subject perceive the stimuli and their own specific emotions; fourth, are congruent with autonomic responses; fifth, are more pronoanced for females than for males; and finally, differ among subjects with specific fears. These data converge to indicate that facial muscle activity is a general component of the emotional reaction and demonstrate that the facial EMG technique is a sensitve too for measuring emotional ractions.
Stability of small solitary waves for the one-dimensional NLS with an attractive delta potential

We consider the initial-value problem for the one-dimensional nonlinear Schr\"odinger equation in the presence of an attractive delta potential. We show that for sufficiently small initial data, the corresponding global solution decomposes into a small solitary wave plus a radiation term that decays and scatters as $t\to\infty$. In particular, we establish the asymptotic stability of the family of small solitary waves.
Parental Attachment and Identity Styles among Adolescents: Moderating Role of Gender

The study was aimed to explore the relationship between parental attachment and identity styles among adolescents. Furthermore, gender differences were also investigated for both constructs. The study was done in two phases. The first, try-out phase was aimed to explore language and cultural appropriateness of the Identity Styles Inventory-4 (Berzonsky et al., 2011) and Parental Attachment Questionnaire (Kenny, 1987). The second phase of the study was designed to fulfill the research objectives. The try-out phase indicated that instruments were culturally and linguistically appropriate. The main study was carried out with a sample of 252 adolescents. The results showed that instruments were internally consistent and reliable. The results yielded that parental attachment was positively related with informational style, normative style, and commitment but was negatively correlated with diffuse­ avoidant style. For gender differences, girls scored higher on parental attachment as compared to boys. For identity styles, girls scored higher as compared to boys on informational, normative, and diffuse-avoidant style but for commitment differences were nonsignificant. When moderating role of gender was explored, significant moderation was seen only for emotional support to informational style link where boys were more inclined to share to show the trend.
ENTREPRENEURIAL INATTENTIVENESS, RELATIONAL CAPABILITIES AND VALUE CO-CREATION TO ENHANCE MARKETING PERFORMANCE

Purpose of Study: This paper aims to assess three selected marketing parameters that can influence marketing performance. Methodology: An empirical study analysis was conducted to see the effect of Entrepreneurial Innovativeness Oriented, Relational Capabilities and Value co-creation to enhance the marketing performance of SME (Small and Medium Enterprise) apparel fashion industries in Central Java, Indonesia. Data sampling was obtained using purposive sampling technique involving 150 respondents. The data was collected by using a questionnaire given directly to the respondents. The data analysis employed Structural Equation Modelling (SEM) with AMOS program assistance. Result: The result showed that relational capabilities have a significant effect on value co-creation. Implications/Applications: The value co-creation can be the mediator for improving relational capabilities which have a significant contribution to marketing performance.
Emotional Intelligence: Why It Can Matter More Than IQ

Is IQ destiny? Perhaps not nearly as much as humans think. This text argues that our view of human intelligence is far too narrow, ignoring a crucial range of abilities that matter immensely in terms of how we do in life. Drawing on brain and behavioural research, the author shows the factors at work when people of high IQ flounder and those of modest IQ do surprisingly well. These factors add up to a different way of succeeding in life - one the author terms "emotional intelligence". Emotional intelligence includes self-awareness and impulse control, persistence, zeal and self-motivation, empathy and social deftness. These are the qualities that mark people that excel. They are also the hallmarks of character and self-discipline, of altruism and compassion. As Goleman demonstrates, the personal costs of deficits in emotional intelligence can range from problems in marriage and poor physical health in adults to eating disorders and depression in children. But the news is hopeful. Emotional intelligence is not fixed at birth. Goleman's argument gives insights into the brain architecture underlying emotion and rationality. He shows how emotional intelligence can be nurtured and strengthened in all of us. Since the emotional lessons a child learns actually sculpt the brain's circuitry, Goleman provides detailed guidance as to how parents and schools can benefit from this.
In the Shadow of the Epidemic: Being HIV-Negative in the Age of AIDS

For gay men who are HIV-negative in a community devastated by AIDS, survival may be a matter of grief, guilt, anxiety, and isolation. "In the Shadow of the Epidemic" is a passionate and intimate look at the emotional and psychological impact of AIDS on the lives of the survivors of the epidemic, those who must face on a regular basis the death of friends and, in some cases, the decimation of their communities. Drawing upon his own experience as a clinical psychologist and a decade-long involvement with AIDS/HIV issues, Walt Odets explores the largely unrecognized matters of denial, depression, and identity that mark the experience of uninfected gay men.Odets calls attention to the dire need to address issues that are affecting HIV-negative individuals--from concerns about sexuality and relations with those who are HIV-positive to universal questions about the nature and meaning of survival in the midst of disease. He argues that such action, while explicitly not directing attention away from the needs of those with AIDS, is essential to the human and biological well-being of gay communities. In the immensely powerful firsthand words of gay men living in a semiprivate holocaust, the need for a broader, compassionate approach to "all" of the AIDS epidemic's victims becomes clear. "In the Shadow of the Epidemic" is a pathbreaking first step toward meeting that need.
Child anxiety disorders : a guide to research and treatment

Preface. Part I: Overview of Childhood Development. An Introduction to Children's Fears. An Introduction to Childhood Anxiety Disorders. Developmental Considerations. Etiological Factors in the Development of Anxiety Disorders. Part II: Anxiety Disorders in Children. Dental Fears, Medical Fears, and Chronic Medical Illnesses. Excessive Worry and Generalized Anxiety Disorder. Specific Phobia. School Refusal. Separation Anxiety Disorder. Social Phobia and Selective Mutism. Obsessive-Compulsive Disorder. Panic Disorder. Posttraumatic Stress Disorder. References.
Propiedades psicométricas del Cuestionario de Violencia Escolar - Revisado (CUVE-R)

Los dos objetivos principales de este trabajo han sido disenar una version revisada y ampliada del Cuestionario de Violencia Escolar (CUVE) (Alvarez et al., 2006) y contrastar empiricamente su validez de constructo. El Cuestionario de Violencia Escolar-Revisado (CUVE-R) fue aplicado a 646 estudiantes de Educacion Secundaria Obligatoria. Mediante analisis factoriales confirmatorios, se pusieron a prueba dos posibles modelos explicativos de la estructura factorial de la prueba. Los resultados obtenidos senalan que ambos pueden representar aceptablemente bien la estructura del CUVE-R, si bien algo mejor el denominado «modelo de ocho factores» (Violencia de profesorado hacia alumnado, Violencia fisica directa entre estudiantes, Violencia fisica indirecta por parte del alumnado, Violencia verbal entre estudiantes, Violencia verbal del alumnado hacia el profesorado, Exclusion social, Disrupcion en el aula y Violencia a traves de las Nuevas Tecnologias de la Informacion y de la Comunicacion).
Social transformation and the transition from vocational education to work in Hungary

The ‘dual system’ combining school-based vocational education with employer-provided training is often praised for effectively integrating young people into the labour market and recommended as a model for countries struggling with high youth unemployment. However, without an institutional framework supporting employer involvement, it has proven difficult to elicit or maintain what is essentially voluntary provision of training places by employers. Whenever employers are unwilling to train, school-provided training represents a viable alternative, but to date [the authors] know little about the relative effectiveness of school- versus employer-provided training. This study exploits a rapid shift of training provision from employers to vocational schools that occurred during the Hungarian transformation from socialism to capitalism to analyse how these different ways of organizing training affect the labour market entry of vocational graduates. [The authors’] expectation is that the substitution of employer-with school-provided training has resulted in higher unemployment and lower job quality, particularly on leaving school. Results from differences-in-differences analyses indicate that the shift in training provision from employers to schools between 1994 and 2000 has increased male vocational school graduates’ unemployment rate by 10 percentage points within the first two years after graduation. [The authors] find no effects of training organization on class position.
Discovering and exploiting parallelism in DOACROSS loops

Although multicore processors have been the norm for a decade, programmers still struggle to write parallel general-purpose applications, resulting in underutilised on-chip resources. Automatic parallelisation is a promising approach to improving the performance of such applications without burdening the programmer. I explore various techniques for automatically extracting parallelism which span the spectrum from conservative parallelisation, where transformations must be proven correct by the compiler, to optimistic parallelisation, where speculative execution allows the compiler to generate potentially unsafe code, with runtime supports to ensure correct execution. Firstly I present a limit study of conservative parallelisation. I use a novel runtime profiling technique to find all data dependences which occur during execution and build an oracle data dependence graph. This oracle is used as input to the HELIX compiler which automatically generates parallelised code. In this way, the compiler is no longer limited by the inadequacies of compile-time dependence analysis and the performance of the generated code represents the upper limit of what can be achieved by HELIXstyle parallelisation. I show that, despite shortcomings in the compile-time analysis, the oracle-parallelised code is no better than that ordinarily produced by HELIX. Secondly I present a limit study of optimistic parallelisation. I implement a dataflow timing model that allows each instruction to execute as early as possible in an idealistic, zero-overhead machine, thus giving a theoretical limit to the parallelism which can be exploited. The study shows that considerable extra parallelism is available which, due to its dynamic nature, cannot be exploited by HELIX, even with the oracle dependence analysis. Finally I demonstrate the design of a practical parallelisation system which combines the best aspects of both the conservative and optimistic parallelisation styles. I use runtime profiling to detect which HELIX-identified dependences cause frequent conflicts and synchronise these while allowing other code to run speculatively. This “judicious speculation” model achieves superior performance to HELIX and approaches the theoretical limit in many cases.
Growth and impact of research output of University of Mysore, 1996-2006: A case study

Describes the growth, contribution and impact of research carried out by the scientists of University of Mysore in science and technology. Indicate the patterns of communications of university scientists and studies the extent of concentration and scattering of their research output in different journals. Analyses the strong and weak areas of university research, their growth rate and impact in terms of average citations received. Also studies the output and impact of research under different existing subject departments of the university. Analyses the international collaborative share of research output at the overall level as well as across various subjects, indicating also the major countries involved in international collaboration. Describes the share and characteristics of select highly cited papers and the top productive authors
An unsupervised approach to detecting and correcting errors in text

In practice, most approaches for text error detection and correction are based on a conventional domain-dependent background dictionary that represents a fixed and static collection of correct words of a given language and, as a result, satisfactory correction can only be achieved if the dictionary covers most tokens of the underlying correct text. Again, most approaches for text correction are for only one or at best a very few types of errors. The purpose of this thesis is to propose an unsupervised approach to detecting and correcting text errors, that can compete with supervised approaches and answer the following questions: • Can an unsupervised approach efficiently detect and correct a text containing multiple errors of both syntactic and semantic nature? • What is the magnitude of error coverage, in terms of the number of errors that can be corrected? We conclude that (1) it is possible that an unsupervised approach can efficiently detect and correct a text containing multiple errors of both syntactic and semantic nature. Error types include: real-word spelling errors, typographical errors, lexical choice errors, unwanted words, missing words, prepositional errors, article errors, punctuation errors, and many of the grammatical errors (e.g., errors in agreement and verb formation). (2) The magnitude of error coverage, in terms of the number of errors that can be corrected, is almost double of the number of correct words of the text. Although this is not the upper limit, this is what is practically feasible. We use engineering approaches to answer the first question and theoretical approaches to answer and support the second question. We show that finding inherent properties of a correct text using a corpus in the form of an n-gram data set is more appropriate and practical than using other approaches to detecting and correcting errors. Instead of using rule-based approaches and dictionaries, we argue that a corpus can effectively be used to infer the properties of these types of errors, and to detect and correct these errors. We test the robustness of the proposed approach separately for some individual error types, and then for all types of errors. The approach is language-independent, it can be applied to other languages, as long as n-grams are available. The results of this thesis thus suggest that unsupervised approaches, which are often dismissed in favor of supervised ones in the context of many Natural Language Processing (NLP) related tasks, may present an interesting array of NLP-related problem solving strengths.