bluuebunny/crossref_metadata_2025 huggingface dataset:
FEATURES OF THE CIVIL SOCIETY FUNCTIONING IN THE CONDITIONS OF DELIBERATIVE DEMOCRACY
Authors:   Taras Shevchenko National University of Kyiv, Levchenko Daria
Published: July 2022

The purpose of the research: to clarify features of civil society as a sociopolitical phenomenon. Results: scientific principles of conceptual researches of civil society, deliberative democracy and their interdependence are analyzed and systematized, the essence of deliberative democracy in the processes of realization of the power potential of civil society is also covered. Conclusions: the functioning of civil society mechanisms in the deliberative democracy is an important dimension that exists as a system of an active political position of citizens and enables their direct participation in political life, as well as ensures full realization of citizens’ rights and freedoms. The power of civil society is systemic and is characterized by the formation of a relatively stable synergetic structure, according to which a constant exchange of structural elements is implied and includes: matter, information and energy with their «environment», i. e. the state. The model of deliberative democracy serves as a basis for the implementation of an effective system of strategic communications. Significance: highlighting the characteristics of civil society in deliberative democracy is a significant topic in the civil society study because now there is a need to deepen knowledge about the theoretical and practical foundations of its institutions in modern democracies and states of law.
POLITICAL SUBJECTIVITY IN THE CONDITIONS OF NEW WORLD ORDER FORMATION
Authors:   Vasyl` Stus Donetsk National University (Vinnytsia) Ukraine, Nagornyak Tetyana , Natalina Nataliia ,   Vasyl` Stus Donetsk National University (Vinnytsia) Ukraine, Polovyi Mykola ,   Vasyl` Stus Donetsk National University (Vinnytsia) Ukraine
Published: July 2022

The research problem of the forms and characteristics of political subjectivity transformation within the framework of the new political world order formation is actualized in this article. The erosion of power, the legitimacy crisis of key political institutions, the rapid development of information technology and the accessibility of big data have resulted in entry threshold into politics and an increase in the influence of macro actors (non-institutionalized and initially non-political, mostly group-based). The concept of political subjectivity and the category of subjectlessness of politics as a phenomenon and a procedural characteristic require rethinking within political science. The aim of the publication was to conceptualize the political subjectivity and pre-title categories in the context of the key theoretical and methodological approaches of the interdisciplinary academic discourse. The understanding of political subjectivity within the framework of institutionalism, systems theory, post-bihevioralism and interest group theory, activist sociology and the actor-network theory is highlighted. It is paid an attention to the concept of the «death of the subject» in poststructuralism (M. Foucault), the categories of agency and habitus in structuralist constructivism (P. Bourdieu), the concept of inter-subjectivity in politics (H. Arendt, J. Habermas) and society as a set of practices (S. Muff, St. Laclau), the idea of rupture and interpassivity (S. Žižek) etc. The theory of capital conversion, which can be used to analyze the «profile of subjectivity» of political actors, is considered. The author’s definition of the categories of «political actor» and «political subject» is given. The authors conclude that the most optimal for the study of the subjectivity of political actors in the new world order is the synergistic paradigm, or complexity theory. According to this paradigm, if there are political actors (institutions, interest groups, individuals) in the political space, their influence on the transformation of the political space is possible at bifurcation points and has a random and unpredictable nature. The formation of a new world order as a nonlinear political process is characterized by the trend of subjectlessness as a general procedural characteristic. As a method for studying this trend, the method assemblage (J. Lo) as a process of «gathering» the objects of reality is suggested.
FEATURES OF AUTHORITARIAN DEMOCRATIZATION IN THE CONTEXT OF GLOBALIZATION
Authors:   Taras Shevchenko National University of Kyiv, Tkach Oleg , Tkach Anatoly ,   Open International University of Human Development «Ukraine» (Kyiv) Ukraine
Published: July 2022

Authoritarian regimes become more prone to democratization when faced with little choice or risk. In some cases, the risk of democratization for authoritarian factors is so low that ending authoritarianism may not mean leaving power at all. This article develops a single theory of authoritarian democratization in a relatively low risk environment. The power of the authoritarian factor is the most important factor of democratization under the leadership of authoritarianism. When the strength of the current party was significant enough to give incumbent authoritarian politicians considerable confidence in winning the election, ndemocratic regimes conducted reverse democratic experiments that eventually culminated in a stable, prosperous democracy. Evidence of the first wave of democratization in Europe, the democratic transitions in Asia and Africa, illustrates how the party force reinforced democratization led by authoritarianism. As a result, the factors of the collapse of democracy include: the weakening of political institutions, violations of individual rights and freedom of thought, which call into question the efficiency and stability of democratic systems. It is established that the problematic aspects are the level of inequality, differences in identity; democratization through bottom-up peaceful protests has led to a higher level of democracy and democratic stability than democratization caused by elites; constitutions resulting from pluralism (reflecting different segments of society) are more likely to promote liberal democracy.
Cognitive Behavioral Therapy for Depression: A Primer
Authors: Lawlor C.E. , Goodson J.T. , Haeffel G.J.
Published: July 2022

Depression is one of the most common, disabling, and lethal (e.g., suicide) forms of psychopathology. Nearly 300 million people struggle with depression worldwide, and it is the leading cause of disability for people ages 15-44. Unfortunately, most people with depression do not receive the treatment they need. There is limited access to mental health services, and when services are available, the treatments used tend to have limited scientific support. This is because many mental health professionals are not trained in empirically supported treatments, are ambivalent about the role of science in clinical practice, and have limited access to scientific research (e.g., journal paywalls). The purpose of this special issue article is to provide a free and easy to use primer on Cognitive Behavioral Therapy (CBT) for depression. CBT is the most studied form of psychotherapy, has a strong theoretical basis, can be implemented by therapists of varying experience levels, and is as effective or more effective than existing treatments, including medication. CBT may not work for every client, but it is the best place to start. In this article, we discuss: a) why CBT should be the first-line treatment for depression, b) the theoretical basis of CBT for depression, and c) a basic overview of how to administer 12 sessions of CBT for depression. We also provide a reading list and supplemental open-access materials (e.g., a cognitive skills workbook) for further education.
Implementing Cognitive-Behavioral Therapy in Children and Adolescents with Anxiety Disorders
Authors: Patriarca G.C. , Pettit J.W. , Silverman W.K.
Published: July 2022

This article provides an introduction and overview of the cognitive-behavioral treatment approach to anxiety disorders in children and adolescents. We first provide an introduction to the cognitive-behavioral conceptualization of anxiety, emphasizing the tripartite model of emotions: cognitions, physiological arousal, and avoidance behaviors. We then provide an overview of the basic principles of cognitive behavioral treatment for anxiety disorders in children and adolescents, including generalized, social, and separation anxiety, and specific phobia. We follow this introduction and overview with a discussion of the structure and goals of treatment, including the three phases of treatment (psychoeducation, application, and relapse prevention). In the context of discussing application, we focus primarily on implementation strategies relating to behavioral exposures and cognitive restructuring. We conclude with a summary of different formats wherein cognitive-behavioral treatment can be implemented, including child-only, peer-group, parent-involved, and telehealth.
Ground Motion Prediction Equations for the Vertical Ground Motions from Subduction Interface Earthquakes in Japan Using Site Period or VS30 as the Site-Effect Parameters
Authors: Bai Shihong , Zhao John X.
Published: July 2022

Based on our previous study, we developed ground motion prediction equations (GMPEs) with two site proxies, that is, with one GMPE using the site period (TS, four times the travel time of shear waves down to the bedrock) and the other one using a pseudosite period (TVS30, four times the travel time of shear waves down to 30 m depth). We used two reasonably simple site-effect models based on TS or TVS30, and each site model has four parameters with each parameter having a physical meaning and miming the theoretical process in site amplification calculations. We found that only the linear magnitude terms in the site class (SC) model from our previous study need to be modified to accommodate the change in the site response parameters, suggesting that the source effect interacts with the site effect. At short periods up to about 0.3 s, the performances of these site models are largely similar. However, at spectral periods over 0.3 s, the performances of these site models are strikingly different, and the rank of the three models in the site model performance is (from the best to the worst) TS, SC, and TVS30 site models. It is a surprise that the SC model with four classes can be better than the TVS30 site model, which does not account for the effect of the soil or rock layers between the 30 m and the bedrock depth. These results may mean that the inclusion of these deep soil layers is more important than the limitations of using a simple step function for the SC model. The GMPE using TS presented in this study improved the prediction accuracy significantly, especially for sites with TS over 0.3 s at spectral periods over 0.3 s. The GMPE using TS in this study can be used whenever TS is available.
Advancing Racial Equity Through Arts Service Organizations
Authors:   , Griffin-Quick Deonté , Yau Pamela , Coleman Laura-Edythe S
Published: July 2022

This study sets out to answer the question: how can New Jersey's arts service organizations advance racial equity and diversity through their programs, services, and collaborative efforts? Highlighting the programs, services, educational offerings, and internal work of arts service organizations will demonstrate the progress, or lack thereof, related to diversity, equity, and inclusion in the arts field. Using multiple case studies, six subject New Jersey based arts service organizations were examined. The goal of this study is to provide a statewide, transformative model and guide for arts service organizations and state arts agencies on how they can foster programs, services, and collaborative efforts to support their constituents in the areas of racial equity and diversity. This study relies on qualitative data gathered through interviews and analysis of organizational documents. This study proves that statewide arts service organizations are able to advance racial equity and diversity predominantly through: strategic funding, capacity building, cultural mapping, and partnerships.
Use and Abuse of Psychostimulants in Medicine
Authors: Latella Andres Norberto , Sanchez de Paz María Pilar , Mata Suarez Santiago , Bignone Inés , Lerman Dami´an , Rojas Galeno
Published: July 2022

Introduction:

Psychostimulants are drugs that can be used to improve cognitive performance by students and health care professionals. This trend might establish a public health issue.

Objetives:

The purpose of this study is to describe the prevalence of psychostimulant use in medical students and resident doctors, and to identify consumption related risk factors.

Method: The study was conducted through a self-administered, anonymous online survey.

Results:

355 respondents were included, 27% (n=96) were resident doctors, 70.4% (n=250) students and 2.5% (n=9) specialists. 17.4% (n=62) opted for psychostimulant drugs of which modafinil was the most chosen. The most desired effect was to improve wakefulness 83.6% (n=51). The average age for consumers was 27.31±3.08 (p=0.033). The multivariate analysis revealed that the predictive variables with highest risk of consumption were: having read the package insert (OR=5.2; p=0.0001), previous use of benzodiazepines (OR=3.75; p=0.045) and having considered ethical its use (OR=1.03; p=0.0001).

Conclusion:

According to literature, the prevalent use of psychostimulants by doctors under training in our population might be higher than other countries. This study is an important source of information for health authorities as it highlights unrestricted access and inappropriate use of psychostimulants.
Efecto de prácticas agroecológicas en la conservación del suelo de la Zona de Reserva Campesina de San Isidro, Pradera, Valle del Cauca
Authors: Montenegro-Gómez Sandra Patricia , Nieto-Gómez Libia Esperanza , Giraldo-Díaz Reinaldo
Published: July 2022

La biodiversidad del suelo está amenazada por cambios antropogénicos mundiales, como la intensificación del uso del suelo, la deforestación y fenómenos climáticos extremos. El corregimiento de San Isidro, municipio de Pradera, departamento del Valle del Cauca, Colombia, está habitado por comunidades campesinas que protegen la vida y el territorio basados en la organización comunitaria alrededor de la figura de Zona de Reserva Campesina -ZRC. El objetivo de este estudio fue identificar el estado de indicadores de respuesta biológica al manejo agroecológico efectuado por la comunidad de la ZRC San Isidro. Metodológicamente se realizaron análisis físicos y químicos del suelo, cuantificación microbiana y de mesofauna, y se analizaron los indicadores de manejo agroecológico en cada uno de los 15 agroecosistemas. Se encontró que la adopción de labranza conservacionista es prioritaria lo cual se refleja en que el requerimiento de pesticidas es mínimo y no se presentan problemas de erosión del suelo. Se concluye que el actual manejo agroecológico realizado por la comunidad ha evidenciado resultados promisorios en indicadores biológicos del suelo; sin embargo, se requieren esfuerzos adicionales para fortalecer su potencial.
COLD INDUCES EXPRESSION OF GENES SPECIFIC TO THERMOGENESIS (PGC-1α, UCP1) AND BEIGE CELLS (TMEM26, SLC27A1) IN MOUSE INGUINAL WHITE ADIPOSE TISSUE
Authors: Le Ngoc Hoan
Published: July 2022

Studying adaptive thermogenic responses as being a strategy to protect against several metabolic disorders. The browning process is a crucial point of adaptive thermogenic responses. The present study was carried out to examine whether inguinal white adipose tissue (iWAT) is a candidate for the browning process. Mice were caged in a 4 °C cold chamber (Cold group) for 24 hours and 23 °C room temperature condition (RT group). The result showed that mRNA expression of genes specific to thermogenesis, including peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) and uncoupling protein 1 (UCP1), was markedly upregulated in iWAT of the mice in the Cold group compared to the mice in the RT group. Consistent with this, mRNA expression of the Transmembrane protein 26 (TMEM26) gene, specific to beige cells, was also significantly higher in the iWAT of the cold exposed mice than that in the iWAT of the mice housed at room temperature. Expression of solute carrier family 27member 1 (SLC27A1) gene, another gene coding for a protein of beige cells, was tendency to increase in iWAT of the cold exposed mice compared with that in iWAT of the control mice. However, this change was not significantly differed between the two groups. These data demonstrate that iWAT is an important tissue responding to cold-induced thermogenesis and browning process. Thus, iWAT is a promising candidate for further studies on the mechanism of cold-induced thermogenic responses in white adipose tissues.
Effects of Additives on Gasification of Unused Cedar Wood by Pyrolysis
Authors: Hanazawa Ryuki , Nakamura Kou , Kawaraya Hinako , Shimizu Rinon , Morita Naoyuki
Published: July 2022

Generating thermal power using fossil fuels is harmful to the environment. Efforts to decrease carbon dioxide emissions are being made in many countries, and the Japanese government has declared that by 2050 greenhouse gas (including CO2) emissions in Japan will be zero. Japan has great forest resources, more than 70% of the land being forested. However, the Japanese forestry industry has suffered difficulties in recent years because increasing amounts of timber are being imported and concrete is being used increasingly by the construction industry. In this study, hydrotalcite (Mg6Al2(OH)16CO3 MH2O) was added to unused cedar wood during low temperature pyrolysis to increase the amounts of flammable gases such as CH4, C2H4, C2H6, C3H6, and C3H8 generated. Cedar wood from trees that had been felled but unused was placed in a metal reaction vessel with a predetermined amount of hydrotalcite and heated to 450 °C in a nitrogen atmosphere to achieve pyrolysis. The combustible gas components and condensed wood vinegar solution produced during pyrolysis were analyzed. The gases generated during cedar pyrolysis included CH4, C2H4, C2H6, C3H6, C3H8, and CO2. The amount of combustible gas produced increased as the amount of hydrotalcite added increased.
The effect of self instruction module on knowledge and attitude regarding premenopausal symptoms of women between the age 34-45 Years
Authors: Manik Gitanjali
Published: July 2022

Menopause is a normal occurrence in the life of every woman. It is the period in woman’s life when reproductive functions cease. “Menopause means permanent cessation of menstruation attend of reproductive life due to loss of ovarian follicular activity”. The clinical diagnosis is confirm following stoppage of menses for six consecutive month. Even though samples had heard and received information on menopause through various sources their level of knowledge was not adequate. All the women felt that information provided in the booklet was beneficial and practical use for them. The study will be help to reveal the existing knowledge of the women regarding premenopausal symptoms.

Research Design - Pre-experimental one-group pre-test post-test research design , Research Setting- The physical location and conditions in which the data collection takes place in a study is the setting. Settings are the more specific places. The settings for the present study area were: Mayur Hospital and Research Centre Indore & Life Line Hospital Indore The Sample- In this study the samples were 60 premenopausal women of selected hospitals of Indore, who fulfilled the inclusion criteria.

Data shows, 21 (35.0%) of the subjects has poor knowledge score, 37 (61.7%) of the subjects belongs to average knowledge and 2 (3.3%) of the subjects has good knowledge. that attitude of premenopausal women in pre-test was, 514 (42.8%) were disagree, 393 (21.8%) were agree, 212(35.3%) were strongly agree. But after post-test 954 (53%) of women were strongly agree, 404 (33.67%) were agree and 80(13.3%) were disagree. knowledge level in premenopausal women was 10.45 and mean score of post-test was 16.33. Mean difference in between pre-test and post-test knowledge was 0.69 and SD was 4.85 for pre-test and for post-test was 1.67. Computed ‘t’ value (t = 8.59) and ‘p’ value (p = 0.55) shows that there was significant difference between pre-test and post-test score at the level of p<0.05.

The main aim of this pre-experimental study was to assess the knowledge and attitude of premenopausal women. 60 samples were selected by purposive sampling technique, women to change their knowledge and attitude.Thus the intervention SIM that is found to Increase knowledge.
A study to assess the effect of hot fomentation on thrombophlebitis among patients undergoing intravenous therapy admitted in the selected hospitals of Guwahati, Assam
Authors: Deka Julismita , Dutta Anurupa
Published: July 2022

Thrombophlebitis is contemplated as an adverse event resulting from iv therapy. Thrombophlebitis can occur due to mechanical, chemical and infective causes which lead to pain, inflammation, infiltration, injuring a nerve as well as extravasation, ecchymosis, hematoma, thrombosis and embolism are also common.

To assess the effect of hot fomentation on thrombophlebitis among patients undergoing intravenous therapy.

: For this study quantitative research approach was adapted and using true experimental pre-test - post-test control group design the study was conducted. Total sample 60 (30 for experimental and 30 samples for control group) were selected by simple random sampling technique was used and among patients with thrombophlebitis getting IV therapy in Medical Ward at GMCH, Assam. Modified visual infusion phlebitis scale was used to assess pre-test level of thrombophlebitis and post-test level of thrombophlebitis. Intervention was given over the site of thrombophlebitis and evaluated on the 4 day.

: Findings showed that in experimental group mean pre-test thrombophlebitis score was 11.07±3.062 and in post-test mean thrombophlebitis score was 6.47±1.871 with mean difference was 4.60. In control group mean post-test thrombophlebitis score was 10.70±2.693 and in experimental group mean post-test thrombophlebitis score was 6.47±1.871 with mean difference was 4.23. The comparison was tested using unpaired t test with obtained (t=7.072) was statistically significant at p<0.05 level. Result revealed that hot fomentation was effective on level of thrombophlebitis among patients received intravenous therapy in experimental group as compared to control group.

Hot fomentation is effective to reduce thrombophlebitis caused due to intravenous therapy.
Effect of structured teaching programme on knowledge regarding modified partograph among auxiliary nurse midwives in selected community health centers
Authors: Devi Thounaojam Bidyani
Published: July 2022

Maternal mortality remains one of the major problems in developing countries. In India the incidence of women dying while giving birth is among the highest in the world. The partograph has been considered as one of the valuable tool in the improvement of maternity services.Partogram serves an “early warning system” and assist in early decision on transfer, augmentation and termination of labour. It also increases the quality and regularity of all observations on the fetus and the mother in labour, and aids early recognition of problems with either. Partograph prevents prolonged labour effectively and thus reduces the risk of postpartum hemorrhage, sepsis uterine rupture, operative interventions and improving neonatal outcomes and reducing fetal mortality and morbidity.

A pre-experimental one group pre-test, post-test design was used to observe the effect of structured teaching programe among Auxiliary Nurse Midwives regarding modified partograph. Reliability of the tool was tested by Karl Pearson (Correlation Coefficient) formula and it was found reliable r = 0.803. 60 samples were selected for the main study by non-probability convenient sampling technique.

Highest percentage of Auxiliary Nurse Midwives (38.3%) were in the age group >35 years and (88.3%) were married. Highest percentage of Auxiliary Nurse Midwives (66.6%) were having high school basic qualification and (85%) were from 18 months revised auxiliary nurse midwives MPHW (F). Highest percentage of Auxiliary Nurse Midwives (58.3%) had 9 years and above total clinical experience, (41.6%) had 7 and above years of experience in labour room and (33.3%) Auxiliary Nurse Midwives had seldom used partograph in labour room. Highest percentage of Auxiliary Nurse Midwives (86.6%) had previous source of information during training. Highest percentage of Auxiliary Nurse Midwives (46.6%) agreed that partograph sheet is been supplied by the concerning department, (75%) agreed that use of partograph is allowed by medical officers / gynaecologists where (63.3%) are confident in using partograph.
Development of pediatric vestibular symptom questionnaire in malayalam language for children aged 3-6 years
Authors: Dreepatta V S , Dasgupta Anirban
Published: July 2022

Vestibular disorders are the leading cause of dizziness in children. Vestibular disorders in youngsters with and due to Otitis Media Effusion have recently gained attention. The best way to identify vestibular disorders in youngsters is to use crude methods. The majority of the time, the parents’ history is used to form the view. As a result, questionnaires are the finest tool for estimating children. The Pediatric Vestibular Symptom Questionnaire was created and validated to measure children’s private vestibular symptom inflexibility (i.e. dizziness, shakiness), as a reliable and valid tool for assessing the presence and inflexibility of private vestibular symptoms in children with vestibular diseases or concussion provides a tool for assessing the presence and inflexibility of private vestibular symptoms in children with vestibular diseases or concussion. The questionnaire was used to distinguish between children with vestibular symptoms and healthy controls, and it should be used to detect and quantify vestibular symptoms that require further examination and treatment. The adaptation of the same in Malayalam Language among the natives of Kerala, the Southern Indian states were used widely to evaluate and identify the vestibular symptoms among the children for the effective treatment and better prognosis. Based on the statistics and analysis obtained the questionnaire demonstrated robust reliability, construct and discriminate validity.
Case report on schizophrenia: Application of paplaus model theory in nursing care plan
Authors: Mir Javaid Ahmad , Mushtaq Bushra , Mushtaq Onaisa Aalia , Ali Faisal
Published: July 2022

The term schizophrenia was coined by Eugen Bleuler, it has been derived from the Greek word “schizo” meaning split, and “phren” meaning mind.    

The point prevalence of schizophrenia is about 1% with equal prevalence in both sexes. The onset of schizophrenia is bimodal in women and often runs a more benign course as compared to men and usually occurs in the late teens or early 20

Most devastating disease as this disease strikes the people at the stage when they can show the growth and highest productivity in their lives, mostly in teens or early 20’s, it affects people such a way unable them to return to normal lives: go to job, school to marry, etc.

Understanding the severity of this disorder is very important because these clients are always Potential for violence self-directed or at others related to extreme suspiciousness so to Identify the level of suicide precautions needed. If there is a high-risk, does a hospitalization requires? Or if there is a low risk, will the client be safe to go home with supervision from a family member or a friend? For example, does client:   

Admit previous suicide attempts.,Abuse any substances..Have no peers/friends.,Have any suicide plan.,Contact the family, arrange for crisis counseling. Activate links to self-help groups.,Check for the availability of required supply of medications needed,Initially, provide activities that require minimal concentration (e.g., drawing, playing simple board games),Involve the client in gross motor activities that call for very little concentration (e.g., walking,When the client is at the most depressed state, Involve the client in one-to-one activity.
Vivencias de pacientes con diabetes mellitus tipo 2 y su relación con los nutricionistas: estudio cualitativo
Authors: Rugeles-Estupiñan Adriana , Gogeascoechea-Trejo María del Carmen , Pavón-León Patricia , Blázquez-Morales María Sobeida Leticia
Published: July 2022

Introducción: la diabetes tipo 2 es identificada como uno de los principales problemas de salud pública en México. Ante tal situación, la problemática debe atenderse desde diferentes aproximaciones. Una de ellas, la comprensión de la enfermedad a partir de la experiencia de la realidad de los pacientes, que promueva una atención sanitaria coherente con la vivencia de los pacientes con diabetes tipo 2. Objetivo: investigar las vivencias en las personas con diabetes tipo 2 alrededor de su enfermedad y su relación con los nutricionistas en el primer nivel de atención. Métodos: estudio cualitativo con enfoque fenomenológico, realizado en unidades de primer nivel de atención en México. La información fue recopilada mediante entrevistas semiestructuradas grabadas en audio, de pacientes con el perfil de selección. Los datos se procesaron mediante la técnica de análisis de contenido. Resultados: entre las vivencias más recurrentes se identificó que los pacientes estaban solos al momento de recibir el diagnóstico y se evidenció la falta de apoyo familiar en el cumplimiento de la dieta; no obstante, los pacientes masculinos tenían el apoyo de las mujeres de la familia, quienes proporcionaban los cuidados. Los factores económicos y laborales afectaron el éxito del tratamiento nutricional, aunado a la búsqueda de estrategias erróneas para compensar el incumplimiento de la dieta. El aspecto más valorado por los pacientes en la relación con los nutricionistas fue la confianza; sin embargo, el nutricionista pocas veces indaga sobre las barreras psicosociales del paciente, ni consensua el tratamiento nutricional. Finalmente, para la mayoría de los pacientes la infraestructura hospitalaria es inadecuada para la atención nutricional, afectando su privacidad. Conclusiones: valorar las barreras, las necesidades y las perspectivas del paciente facilitaría la reducción de los obstáculos y favorecería el control y la adherencia al tratamiento nutricional. Es fundamental diseñar estrategias y políticas en salud orientadas a una atención sanitaria coherente con la vivencia de estos pacientes.
A Methodological Framework for Parametric Combat Analysis
Authors: Hayhurst Dustin L. , Colombi John , Bettinger Robert , Meyer David
Published: July 2022

This work proposes, explains, and demonstrates a methodological framework which affords decision-makers and policy-makers the opportunity to accelerate the tempo and enhance the quality of the U.S. Department of Defense acquisitions community. The effective implementation of this framework will augment the warfighting capability of the U.S. Department of Defense against peer competitors and advance the security posture of the United States. This work provides a theoretical foundation for explaining the distribution of potential outcomes for certain types of warfare while contextualizing the research to the space domain. This framework utilizes reliability models to account for natural attrition while using combat models to account for induced attrition. The use of game-theoretic concepts enables the evaluation of heterogeneous force structures.
Diagnostic Analysis of Diabetes Mellitus Using Machine Learning Approach
Authors: Miriyala Navya Pratyusha , Kottapalli Rajya Lakshmi , Miriyala Geetha Pratyusha , Lorenzini Giulio , Ganteda Charankumar , Bhogapurapu Venkata Apparao
Published: July 2022

Diabetes Mellitus (DM) is caused due to the elevated levels of blood sugar i.e., said to be hyperglycemia. The DM is a metabolic chronic disease; therefore, early diagnosis and treatment is necessary to avoid life-threatening risks. According to the World Health Organization (WHO), the diabetes cause high mortality rate with 1.5 million deaths in a year. With the remarkable improvisations in the technology, the disease can be diagnosed earlier. In this paper, we have developed a decision-making support with the machine learning algorithms for DM diagnosis. The Pima Indians Diabetes dataset was chosen to train with Machine Learning algorithms. Our approach begins with Exploratory data analysis, and later the data is sent for data pre-processing and perform the feature Selection techniques. The important features are selected and finally, the data is trained with six various Machine learning (ML) algorithms such as Naïve Bayes, KNN, Random Forest, Logistic Regression, Decision Tree, and eXtreme gradient boosting. The Experimental results of the ML algorithms are calculated by the performance metrics in which that the eXtreme Gradient Boosting has scored highest with 88.2% accuracy than other machine learning algorithms.
An Integrated Single Framework for Text, Image and Voice for Sentiment Mining of Social Media Posts
Authors: Kumari Gubbala , Sowjanya A. Mary
Published: July 2022

The wide spread pandemic COVID-19 has propelled the entire world to rely on social media interaction digitally. Social media is thus a platform to express numerous kinds of direct and indirect sentiments by human beings. Psychologically, a person tends to share his/her feelings in terms of sentiments more openly over the social media. These sentiments, when intense may polarize oneself to commit severe mis-deeds. Here arises the role of the researchers to perform a real time identification of sentiments and classify them so that a prospective mishap can be averted. In this work, an integrated framework is proposed that does an early recognition of sentiments over social media in the digital domain. Along with sentiment categorization, another module has been integrated to the framework to perform a post-predictive analysis of the same. The proposed integrated framework involves combination of two distinct mechanisms. First, the proposed work channelizes the input data in line with its characteristics text, image, and voice. The text input is directly fed to our proposed ‘Lexicon based LSTM with sentiment word mapping’ mechanism. From the input image, both text and semantics are extracted through two different blocks. One block converts image-to-text and redirects the output to the above proposed model. We proposed a new generative model (GM) to extract the semantics of the image and the second block utilizes our generative model and redirects the outcome straight to the final output buffer of the framework. The voice-to-text module has been used for transforming voice input data to text data which is redirected to our proposed Lexicon based LSTM for further processing. A comparison of the proposed work has been made with state-of-the-art techniques. Our results indicate that the overall rate of accuracy of this framework is superior to the existing methods.
A New Supervised Term Weight Measure Based Approach for Text Classification
Authors: Palacharla Ravi Kumar , Vatsavayi Valli Kumari
Published: July 2022

The textual information is abundantly increasing in the internet through different types of social media platforms. Knowing the type of information is one challenging task to different information retrieval systems and researchers. Text classification is one research domain used to categorize the textual information into different classes. Most of the researchers proposed approaches based on the content used in the textual documents. Identification of appropriate terms for differentiating the text is one important task in text classification. After identification of terms for experiment, next very important task is determining the importance of a term in document representation. The term weight measures are used for finding the importance of a term in a document. In this work, a new supervised term weight measure named as TF-NRF-IPNDF-PNDDF is proposed. The performance of proposed term weight measure is compared with eight popular term weight measures such as TFIDF, TFIEF, TFRF, TF-IDF-ICSDF, TF-PROB, TF-IGM, CDallc and CDc. The experiment conducted on six standard classification datasets such as IMDB, HSS, FN, 20NG, AGN and CBN. Six different classification algorithms such as KNN, NB, LR, SVM, DT and RF are used for evaluating the performance of the proposed term weight measure. The proposed term weight measure attained best accuracies for different standard datasets compared with other term weight measures.
An Efficient Deep Neural Framework for Nucleus Semantic Segmentation with Enhanced U-Net
Authors: Sawhney Rahul , Sharma Shilpi , Vashishtha Purvit , Kothari Arun , Gupta Vibhu , Choudhury Tanupriya
Published: July 2022

With the advancement of medicine, there is a terrific requirement to process an increasing number of medical imaging where image segmentation comes into play. Single cell division is generally among the first as well as most essential tasks in image-based cell analysis. The identification of the nuclei allows pathologists to determine each cell in the sample, and by measuring how cells respond to various treatments, they can comprehend the fundamental biological processes in work. In this paper we gathered a deep learning network which detects and parts the cell microscopy image. Highly advanced performance is achieved in image segmentation tasks through deep learning-based techniques. These procedures are complex and need the support of compelling computational resources. This paper emphasizes the basic principles of the methods used to segment an image. We have implemented U-Net for the semantic segmentation of nucleus. A successful implementation will aid researchers immensely in their fight to find pharmaceutical solutions to medical crises while saving both valuable research time and funding.
Catalytic conversion of flame gas on Rh catalysts with subsequent direct monetization
Authors: Urlukov A. S. , Uskov S. I. , Potemkin D. I. , Snytnikov P. V.
Published: July 2022

The paper considers technical feasibility of the direct monetization of casing-head gas, which is being flared now. The proposed approach is based on the technology of low-temperature steam conversion of hydrocarbons, which makes it possible to enhance the quality of flame gases to comply with the requirements on a fuel for gas-piston and gas-turbine power stations. The synthesis and performance of advanced rhodium catalysts for the low-temperature steam conversion of flame gas are discussed. For such catalysts, mixed cerium-zirconium oxides are most promising as the supports. The indicated catalysts have some advantages over the well-studied nickel catalysts in the low-temperature steam conversion of hydrocarbons.
How Google Trends can improve market prediction - the case of the Warsaw Stock Exchange
Authors: Kropiński Paweł , Anholcer Marcin
Published: July 2022

The aim of this paper is to investigate interdependencies between the WIG20 index and economic policy uncertainty (EPU) related keywords quantified by a Google Trends search index. Tests for two periods from January 2015 till December 2019 and from June 2016 till May 2021 have been performed. This allowed the period of relative stability from the time of economic shock caused by the COVID-19 pandemics followed by various restrictions imposed by the governments to be distinguished. A bivariate VAR model to selected search terms and the value of the WIG20 index was applied. After using AIC to establish the optimal number of lags the Granger causality test was performed. The increased empirical relationship has been confirmed between twelve EPU related terms and changes in the WIG20 index in the second period versus six terms for the pre-COVID period. It was also found that in the post-COVID period the intensity of reverse relations increased
Market risk, value-at-risk and exponential weighting
Authors: Broll Udo , Förster Andreas
Published: July 2022

Banks and financial intermediaries are exposed to market risk. The aim of the paper is to explore the implications of legal requirements on market risk valuation. The focus is on the calculation of the permissible weighting factor of the concept of value-at-risk (VaR). When measuring market risk, banks and financial intermediaries may deviate from equally weighting historical data in their value-at-risk calculation and instead use an exponential time series weighting. The use of exponential weighting in the value-at-risk calculation is very popular because it takes into account changes in market volatility (immediately) and can therefore quickly adapt to VaR. In less volatile market phases this leads to a reduction in VaR and thus to lower own funds’ requirements for banks and financial intermediaries. However, in the exponential weighting a high volatility in the past is quickly forgotten and the VaR can be underestimated. To prevent this banks and financial intermediaries are not completely free to choose a weighting (decay) factor. The exchange rate between Polish zloty and euro is used to estimate the value-at-risk as an example and exceptions to the general legal requirements are also discussed.
Differences in Enjoyment and Need for Cognition Relative to Teaching Games for Understanding, Physical Education, and Intentions to Enroll
Authors: Lodewyk Ken R. , Robertson Scott
Published: July 2022

The primary aim of this quasi-experimental study was to investigate differences in enjoyment and need for cognition between regular physical education and a Teaching Games for Understanding (TGfU) unit by level (higher or lower) of intention to enroll in physical education. A sample of 71 ninth-grade physical education students completed a survey assessing enjoyment and need for cognition before and after participating in a 2-week TGfU territorial games unit. Results included significantly lower enjoyment for TGfU than for physical education both overall and among students with higher intentions to enroll. Students more prone to future enrollment also had higher need for cognition during TGfU than physical education after the study controlled for need for cognition in physical education. It may be necessary to better explain and justify TGfU especially with students higher in intentions to enroll while striving to enhance cognitive engagement during TGfU in those with lower intentions to enroll.
Różnica między zachodnioeuropejską a niemiecką koncepcją nacjonalizmu
Authors: Ziętek-Wielomska Magdalena
Published: July 2022

Badania naukowe nie pozostawiają wątpliwości, że zbrodniczy narodowy socjalizm nie jest archetypem nacjonalizmu ani doktryną narodową. Powszechnie uważa się, że ideologia nacjonalistyczna narodziła się w rewolucyjnej Francji i Stanach Zjednoczonych Ameryki. Z powodów politycznych zaciera się prawda o diametralnie odmiennym charakterze zachodniego nacjonalizmu – przede wszystkim francuskiego i anglocentrycznego – z jednej strony, a niemieckiego z drugiej. W dobie rozprzestrzeniania się ideologii globalistycznego kosmopolityzmu idee narodowe traktowane są jako największe zagrożenie dla postępu ludzkości.
Regularización por variación total, para reconstruir imágenes con dominios perdidos
Authors: Reyes Mora Silvia , Hernández Pérez Yessenia
Published: July 2022

En el procesamiento digital de imágenes se aplican técnicas numéricas cuyo objetivo es mejorar la calidad de la imagen, eliminar objetos en ella o extraer algún tipo de información; entre las técnicas más utilizadas se encuentra la reconstrucción de partes perdidas que consiste en modificar una imagen para reconstruir zonas deterioradas o eliminadas de la misma. En la actualidad, los algoritmos de reconstrucción de imágenes ocupan un amplio campo de investigación y desarrollo; en este artículo se analiza, describe, plantea y resuelve el problema de reconstrucción de imágenes con regiones faltantes, desde un punto de vista teórico y práctico; se obtiene un modelo matemático que representa al problema, el cual se demuestra que es un problema inverso mal planteado en sentido de Hadamard. Para resolver el problema, se usa el método de variación total que se deduce a partir de la representación variacional del método de regularización de Tikhonov; se muestra que la solución del problema también resuelve el problema de Neumann para la ecuación de Euler-Lagrange, el cual se resuelve numéricamente. Finalmente, se valida la propuesta de solución en algunas imágenes con dominios perdidos. Lo novedoso del trabajo, es que el método empleado permite implementarse numéricamente y mostrar la influencia del parámetro de regularización.
Estrategias de Enseñanza Inclusiva de las Matemáticas en Educación Básica: Revisión Sistemática
Authors: Uribe Dorantes Alejandra Elizabeth , Méndez Ojeda José Israel
Published: July 2022

Desde hace algunos años la educación inclusiva comenzó a formar parte de los objetivos de diversos gobiernos en el mundo. En contraposición, las matemáticas se han posicionado como una de las ciencias más complejas para los estudiantes a causa de su enseñanza tradicional y alejada de las características de aprendizaje del alumnado; esto ha generado el interés de indagar sobre las estrategias de enseñanza inclusiva de las matemáticas que favorecen su comprensión. Ante ello, la presente investigación tuvo como objetivo realizar una revisión sistemática que reuniera y analizara aquellos estudios que indaguen sobre las estrategias de enseñanza inclusiva eficaces para la enseñanza de las matemáticas en el nivel básico. Para su búsqueda, se estableció un periodo de 11 años (2010- 2021), se determinaron criterios de inclusión y exclusión y se consultaron bases de datos haciendo uso de diversas cadenas de búsqueda. Se concluyó, que la publicación de artículos ha tenido una fluctuación a lo largo de los años, siendo España el país con el mayor número de producciones. Del mismo modo se hallaron tres formas distintas de abordar la temática y 26 estrategias de enseñanza inclusiva de las matemáticas.
The Effect of Improved Sanitation on Linear Growth Amongst Children Living in Developing Countries: a Systematic Review
Authors: Chavura Elton , Singini Wales , Chidya Russel , Mbakaya Balwani Chingatichifwe
Published: July 2022

Constant exposure to poor sanitation contribute to the environmental enteric dysfunction-a disorder that is frequently implicated as a cause of linear growth failure. We aimed to evaluate the efficacy of water, sanitation, and hygiene (WaSH) interventions on linear growth amongst children aged 0-24 months. We reviewed fourteen studies retrieved from AMED, CINAHL, DOAJ, PubMed, PsycINFO, Google Scholar, and EMBASE databases following guidelines developed by PROSPERO and COCHRANE. The screening process was summarized using a PRISMA flow diagram, and the methodologies were critically appraised by a Mixed Method Appraisal Tool. No difference was seen in mean height for age Z-score (0.01, 95% CI-0.16 to 0.18) between children who received WaSH interventions and those who did not. Only 5 studies reported a significant association between WaSH and child linear growth (P < 0.001). All combination intervention studies include in this review did not establish any significant benefit of WaSH and nutrition integration. Although robust sanitation coverage could be an important component amongst proven interventions to stimulate linear growth, stunted growth is embedded within myriad determinants beyond improved sanitation. More research is needed to quantify the complementary effect of WaSH and nutrition co-programming. This systematic review was registered in the PROSPERO database with registration number CRD42022322462.