bluuebunny/crossref_metadata_2025 huggingface dataset:
Relevance of Machine Learning to Predict the Inhibitory Activity of Small Thiazole Chemicals on Estrogen Receptor
Authors: Jayaprakash Venkatesan , Saravanan Thangavelu , Ravindran Karuppaiyan , Prabha Thangavelu , Selvaraj Jubie , Jayapalan Sudeepan , Chaitanya M.V.N.L. , Sivakumar Thangavel
Published: November 2022

Background:

Drug discovery requires the use of hybrid technologies for the discovery of new chemical substances. One of those interesting strategies is QSAR via applying an artificial intelligence system that effectively predicts how chemical alterations can impact biological activity via in-silico.

Aim:

Our present study aimed to work on a trending machine learning approach with a new opensource data analysis python script for the discovery of anticancer lead via building the QSAR model by using 53 compounds of thiazole derivatives.

Methods:

A python script has been executed with 53 small thiazole chemicals using Google collaboratory interface. A total of 82 CDK molecular descriptors were downloaded from “chemdes” web server and used for our study. After training the model, we checked the model performance via cross-validation of the external test set.

Results:

The generated QSAR model afforded the ordinary least squares (OLS) regression as R2 = 0.542, F=8.773, and adjusted R2 (Q2) =0.481, std. error = 0.061, reg.coef_ developed were of, - 0.00064 (PC1), -0.07753 (PC2), -0.09078 (PC3), -0.08986 (PC4), 0.05044 (PC5), and reg.intercept_ of 4.79279 developed through stats models, formula module. The performance of test set prediction was done by multiple linear regression, support vector machine, and partial least square regression classifiers of sklearn module, which generated the model score of 0.5424, 0.6422 and 0.6422 respectively.

Conclusion:

Hence, we conclude that the R2values (i.e. the model score) obtained using this script via three diverse algorithms were correlated well and there is not much difference between them and may be useful in the design of a similar group of thiazole derivatives as anticancer agents.
Killer stance An investigation of the relationship between attitudinal resources and psychological traits in the writings of four serial murderers
Authors: Hunter Madison , Grant Tim
Published: November 2022

individual’s set of psychological traits, or their psychopathology,impacts how they experience the world around them, and language offers resourcesthat allow for that experience to be shared with and communicated to someoneelse. That language can then be analyzed for patterns and their connectionsto the psychological traits. In a forensic context, such connections may givevaluable insights. There already exist psychological and linguistic approachesto the analysis of forensic texts, but the psychological approach largely lacksgrounding in linguistic theory and the linguistic approach does not typically allowconsideration of psychological characteristics. What this paper aims to provideis a step toward bridging that gap. In this paper we examine the system ofattitude from the Appraisal framework developed by Martin and White (2005) andadapted by Gales (2010) and Hurt (2020) applying this to the writings of four serialmurderers with documented mental health diagnoses. Significant patterns in theattitudinal resources were identified quantitatively and examined qualitativelythrough the lens of the psychological traits that comprised the authors’ diagnosesto determine if there was a relationship between them. Despite the obviouslimitation presented by the sample size, the results of this study suggest theapproach presented in this paper warrants further investigation.
Criminal-law characteristic of public distribution under the guise of reliable messages knowingly false information, containing data on the use of the Armed Forces of the Russian Federation in order to protect the interests of the Russian Federation and its citizens, the maintenance of international peace and security
Authors:   Abdulatip M. Abdulatipov Dagestan State University, Abdulatipov Abdulatip M.
Published: November 2022

The article reveals the main reasons for criminalizing the dissemination, under the guise of reliable reports, of deliberately false information containing data on the use of the Armed Forces of the Russian Federation in order to protect the interests of the Russian Federation and its citizens, maintain international peace and security. The author makes an attempt to give a criminal-legal assessment of the acts provided for in Article 207.3 of the Criminal Code of the Russian Federation, briefly analyzes the elements of the composition of this offense and identifies some problems that may arise in law enforcement practice. On the basis of judicial and doctrinal interpretations, it reveals the contents of the concepts of information dissemination, publicity, the artificial creation of evidence for the prosecution and other mandatory signs of the objective side of this crime. The author draws conclusions and suggestions that may be useful in law enforcement practice.
On some aspects of the deformation of personal and public legal consciousness
Authors:   Alexandra M. Drozdova North Caucasus Federal University, Drozdova Alexandra M. , Kovalev Vladimir V. ,   Vladimir V. Kovalev North Caucasus Federal University
Published: November 2022

The article is devoted to one of the urgent problems related to the concept and category of legal consciousness - the deformation of legal consciousness. The article discusses and analyzes: the concept of legal consciousness (as applied to both an individual and society); varieties of legal consciousness depending on the attitude of both an individual and society to law and legal phenomena; the concept of legal consciousness deformation (both social and personal), the causes and prerequisites leading to the deformation of legal consciousness; ways and methods of overcoming the deformation of legal consciousness applied by various subjects at different levels (starting from the state, and ending with a single individual)
Criminal law policy in the field of ecology: modern tendencies
Authors:   N. I. Kuznetsova St. Petersburg University of the Ministry of Internal Affairs of Russia, Kuznetsova N. I. , Milyukov S. F. ,   S. F. Milyukov Russian State Pedagogical University named by A. I. Herzen
Published: November 2022

The authors address the problem of criminal law policy in the field of ecology. In particular, the legislative problems of criminalization, penalization of environmental crimes are considered. It is noted that the degree of public danger of environmental crimes by the state and civil society is clearly underestimated. The norms of Chapter 26 of the Criminal Code of the Russian Federation "Environmental crimes" need to be improved, a significant part of them should be reanimated, and "dead" norms should be replaced with "working" ones. Some of the environmental crimes should be transferred to more severe categories. Differentiation and individualization of criminal responsibility for environmental crimes will be facilitated by the establishment in articles of Chapter 26 of the Criminal Code of the Russian Federation of encouraging notes providing grounds for exemption from criminal liability for positive post-criminal behavior.
About armed rebellions of singles or features of individual terrorist activity
Authors:   Alexander V. Rostokinsky School of Law of the Institute of Law and Management, State Autonomous Educational Institution of Higher Education “Moscow State Pedagogical University”, Rostokinsky Alexander V. , Danelyan Rita S. ,   Rita S. Danelyan School of Law of the Institute of Law and Management, State Autonomous Educational Institution of Higher Education “Moscow State Pedagogical University”
Published: November 2022

This article analyzes some forms of individual terrorist activity caused by personal and micro - group conflicts in modern society. The definition of a lone terrorist is given and the inadmissibility of downplaying the danger of their actions is justified due to the special difficulty of timely detection and prevention, special integration into the world terrorist movement, the growth of opportunities for independent preparation and implementation of these crimes, including using global information networks. It is noted that these manifestations are not characterized by the simultaneous presence of all those signs of a terrorist attack that have been fixed in the Russian criminal law, the scenario of attacks, fragmented and closed contacts of future terrorists, their better awareness, integration into local communities, the use of available weapons and other means of committing crimes, the prevalence of mental pathologies among delinquents.
Leishmania en piel de Rattus rattus de zona urbana de la Ciudad de Corrientes, Argentina
Authors: Ramirez Gabriela Verónica , Ruiz Raquel Mónica , Alegre Elsa Agustina
Published: November 2022

Objective: the objective of the present work was the detection of Leishmania sp. in Rattus rattus tail base skin through polymerase chain reaction (PCR) techniques. Material and Method: We analyzed 45 Rattus rattus skin samples from the urban area of the city of Corrientes in Argentina. The Leishmania spp detection was performed by nested PCR technique. Results: Leishmania DNA was detected in 22 samples out of 45 processed (49%) in the first round of amplification, and in 14 samples (31%) in the second round (31%). Conclusions: These results contribute to increase the existing information in our region on the possible relationship between Leishmania and Rattus rattus, considering the high prevalence found in skin added to the total absence of lesions. Other aspects should be further studied to establish the role of these animals in the epidemiological chain of the disease in an urban area endemic to leishmaniasis in other animal species.
Effectiveness of a Mobile App to Increase Risk Perception of Tobacco, Alcohol, and Marijuana Use in Mexican High School Students: Quantitative Study
Authors: Fuentes A Patricia María del Carmen , Jiménez Tapia Alberto , Ruiz-Cortés Eunice M , Bolaños-Ceballos Fernando , Flores Castro Julio César , Gutiérrez Rafael , González-Forteza Catalina
Published: November 2022

Background

Young people have the highest rate of drug use worldwide. Recent data from Mexico in this population show that the prevalence of illicit drug use doubled between 2011 and 2016 (2.9%-6.2%), with marijuana being the one with the highest increase (2.4%-5.3%), but also point out that alcohol and tobacco use have remained steady or decreased. Mexican adolescents are at high risk for drug use owing to a low perception of risk and the availability of drugs. Adolescence is an ideal period to reduce or prevent risky behaviors using evidence-based strategies.

Objective

In this study, we aimed to test the short-term effectiveness of a mobile intervention app (“What Happens if you Go Too Far?” [“¿Qué pasa si te pasas?”]) that seeks to increase risk perception of tobacco, alcohol, and marijuana use in a sample of Mexican high school students.

Methods

A nonexperimental evaluation based on pretest-posttest design was used to measure the effectiveness of a preventive intervention using a mobile app, “What Happens If You Go Too Far?” The dimensions analyzed were knowledge of drugs and their effects, life skills, self-esteem, and risk perception. The intervention was conducted on a high school campus with 356 first-year students.

Results

The sample included 359 first-year high school students (mean 15, SD 0.588 years; women: 224/359, 62.4% men: 135/359, 37.6%). The intervention increased the overall risk perception of tobacco (χ24=21.6; P<.001) and alcohol use (χ24=15.3; P<.001). There was no significant difference in the perception that it is dangerous to smoke 5 cigarettes, and there was a marginal difference in the perception that it is very dangerous to smoke 1 cigarette or to use alcohol or marijuana. We used a generalized estimating equation method to determine the impact of the variables on risk perception. The results showed that knowledge about smoking increased the risk perception of smoking 1 cigarette (odds ratio [OR] 1.1065, 95% CI 1.013-1.120; P=.01), and that knowledge about marijuana use (OR 1.109, 95% CI 1.138-1.185; P=.002) and self-esteem (OR 1.102, 95% CI 1.007-1.206; P=.04) produced significant increases in the risk perception of consuming 5 cigarettes. Resistance to peer pressure and assertiveness also increased the perceived risk of using tobacco and alcohol.

Conclusions

The intervention has the potential to increase the perception of risk toward drug use in high school students by providing knowledge about the effects and psychosocial risks of drug use and by strengthening life skills that are associated with increased risk perception. The use of mobile technologies in intervention processes may broaden the scope of preventive work for adolescents.
Smart Continence Care for People With Profound Intellectual and Multiple Disabilities: Protocol for a Cluster Randomized Trial and Trial-Based Economic Evaluation
Authors: van Cooten Vivette J C , Gielissen Marieke F M , van Mastrigt Ghislaine A P G , den Hollander Wouter , Evers Silvia M A A , Smeets Odile , Smit Filip , Boon Brigitte
Published: November 2022

Background

People with profound intellectual and multiple disabilities (PIMD) cannot communicate the need to change their incontinence products. The smart continence care (SCC) product Abena Nova signals caregivers when change is needed. This provides the opportunity for more person-centered care, increased quality of life, and a decreased number of leakages. However, there is a need for evidence of the effectiveness and cost-effectiveness of such technology compared with regular continence care (RCC) for people with PIMD.

Objective

This paper presents the research protocol for an effectiveness and cost-effectiveness study with people with PIMD living in long-term care facilities in the Netherlands.

Methods

A cluster randomized trial will be conducted in 3 consecutive waves across 6 long-term care providers for people with disabilities and 160 participants with PIMD. Long-term care providers are randomized at a 1:1 ratio, resulting in an intervention group and a group continuing RCC. The intervention group will receive implementation guidance and use SCC for 3 months; the other group will continue their RCC as usual and then switch to SCC. This study consists of three components: effectiveness study, economic evaluation, and process evaluation. The primary outcome will be a change in the number of leakages. The secondary outcomes are quality of life, the difference in the number of changes, the work perception of caregivers, cost-effectiveness, and cost utility. Data collection will occur at T0 (baseline), T1 (6 weeks), T2 (12 weeks), and T3 (9-month follow-up) for the first 2 intervention groups. An intention-to-treat analysis will be performed. The economic evaluation will be conducted alongside the trial from the societal and long-term care provider perspectives. Qualitative data collection through interviews and field notes will complement these quantitative results and provide input for the process evaluation.

Results

This research was funded in December 2019 by ZonMw, the Netherlands Organization for Health Research and Development. As of June 2022, we enrolled 118 of the 160 participants. The enrollment of participants will continue in the third and fourth quarters of 2022.

Conclusions

This study will provide insights into the effectiveness and cost-effectiveness of SCC for people with PIMD, allowing long-term care providers to make informed decisions about implementing such a technology. This is the first time that such a large-scale study is being conducted for people with PIMD.

Trial Registration

ClinicalTrials.gov NCT05481840; https://clinicaltrials.gov/ct2/show/NCT05481840

International Registered Report Identifier (IRRID)

DERR1-10.2196/42555
Potential Facilitators of and Barriers to Implementing the MINI Robot in Community-Based Meeting Centers for People With Dementia and Their Carers in the Netherlands and Spain: Explorative Qualitative Study (Preprint)
Authors: Mahmoudi Asl Aysan , Kouters Suzanne , Castro-González Álvaro , Van der Roest Henriëtte , Franco Martin Manuel , Dröes Rose-Marie
Published: November 2022

BACKGROUND

Social robots, as a form of digital health technologies, are used to support emotional, cognitive, and physical care and have shown promising outcomes in enhancing social well-being in people with dementia (PwD) by boosting emotions, social interactions, and activity participation.

OBJECTIVE

The goal is to investigate the attitude of stakeholders and potential facilitators and the barriers to implementing the social robot MINI in community-based meeting centers (MCs) for PwD and carers in the Netherlands and Spain.

METHODS

Based on the British Medical Research Council guidance for process evaluation of the implementation of complex interventions and the model for tracing the facilitators of and barriers to the adaptive implementation of innovations in dementia care, an explorative qualitative study was conducted. Following the introduction of the MINI robot, 11 stakeholders were interviewed in 3 MCs in the Netherlands and 1 in Spain, as well as stakeholders in health and welfare organizations in both countries. In addition, 12 adults with dementia participated in focus groups. The data were thematically analyzed and narratively described.

RESULTS

Overall, the stakeholder opinion and interest in the MINI robot were positive. The most important (expected) facilitating factors mentioned by stakeholders appeared to be human resources, funding, the impact of the MINI robot on the users and programs of the MCs, characteristics of the innovation, and collaboration with other care and welfare organizations. However, the (expected) barriers mentioned concerned the physical context and functionalities of the MINI robot, the user context, and MC activity policies.

CONCLUSIONS

The findings will inform professional stakeholders, such as MC directors and managers, as well as care and welfare organizations, on the practicality of using the MINI robot in MCs. Furthermore, our research will aid MINI robot developers in tailoring its features to PwD’s preferences and demands and MC policies, which will contribute to the MINI robot’s effective adoption and deployment.
This is test MS 22 Nov 2022 (Preprint)
Authors: Account Developer
Published: November 2022

UNSTRUCTURED

This is test MS 22 Nov 2022
Pensamiento filosófico maya en el manejo del solar en Yaxunah, Yucatán, México
Authors: Martínez Isidro Paulina , Sánchez Suárez Aurelio , Mijangos-Noh Juan Carlos , Eastmond Spencer Amarella
Published: November 2022

Objetivo: analizar los procesos productivos del solar desde la perspectiva filosófica de los habitantes mayas de la comunidad de Yaxunah, Yucatán, México. Metodología: se efectuaron 86 entrevistas semiestructuradas y análisis del discurso mediante la teoría fundamentada. Resultados: en las actividades que se realizan en las etapas de los procesos productivos ⸻presiembra, siembra, postsiembra y cosecha⸻ se presentan los elementos nosótricos, intersubjetivos y de respeto a la naturaleza. Valor: se presenta evidencia sobre el entendimiento del uso y la conservación del patrimonio biocultural maya vigente en los procesos de producción en el solar. Los usos y costumbres asociados con el pensamiento filosófico maya están arraigados en la comunidad y se mantienen a pesar de la intervención de instituciones, programas de gobierno, religión, teorías de mercado y organizaciones de la sociedad civil. Además, sobresale la relación indisoluble que hay entre el ser humano y la naturaleza de dicho pensamiento, necesaria para la conservación del patrimonio biocultural y para los servicios evolutivos de la agrobiodiversidad local. Limitaciones: la investigación se concentra en una sola comunidad de Yucatán. Conclusiones: los procesos productivos del solar maya, basados en el pensamiento filosófico, conducen a sistemas complejos de preservación de la vida.
ANN AND ANALYTICAL SOLUTIONS TO RELATIVISTIC ISOTHERMAL GAS SPHERES
Authors: Nouh M. I. , Azzam Y. A. , Abdel-Salam E. A-B , Elnagahy F. I. , Kamel T. M.
Published: November 2022

Relativistic isothermal gas spheres are a powerful tool to model many astronomical objects, like compact stars and clusters of galaxies. In the present paper, we introduce an artificial neural network (ANN) algorithm and Taylor series to model the relativistic gas spheres using Tolman-Oppenheimer-Volkoff differential equations (TOV). Comparing the analytical solutions with the numerical ones revealed good agreement with maximum relative errors of 10−3. The ANN algorithm implements a three-layer feed-forward neural network built using a back-propagation learning technique that is based on the gradient descent rule. We analyzed the massradius relations and the density profiles of the relativistic isothermal gas spheres against different relativistic parameters and compared the ANN solutions with the analytical ones. The comparison between the two solutions reflects the efficiency of using the ANN to solve TOV equations.
THE HII REGIONS AND BOW SHOCKS AROUND RUNAWAY O STARS
Authors: Raga A. C. , Cantó J. , Noriega-Crespo A.
Published: November 2022

We present a model for the HII region and stellar wind bow shock formed by runaway O stars passing through the Galactic disk. We develop a quasi-analytic approach in which the absorption of stellar ionizing photons by the bow shock is considered. With these models we study the transition between a detached ionization front (leading the bow shock) and an ionization front trapped by the stellar wind bow shock. We find that for an O7 star one needs to have a stellar velocity of only a few km/s and an environmental density > 105 cm−3.
Drug Discovery Using Machine Learning and Data Analysis
Authors: Pali Pranali , Jain Abhishek , Kyadarkunte Pooja , Patil Sampada , Jais Shruti , Nasare Rajesh , Chhabria Sharda
Published: November 2022

Abstract: An objective of drug discovery is to identify novel substances with certain chemical properties for the treatment of diseases. A significant amount of biological data has been produced recently from a variety of sources. Using this data, molecular analysis has been used to determine the most successful treatments. Trial-and-error medicine is frequently frustrating and significantly more expensive. This makes it easier to complete the work by predicting whether a drug will be active or not. The information about the drug can also be used to develop new medications. Quantitative Structure Activity Relationship (QSAR) analysis is one application that uses machine learning to improve decision-making in pharmaceutical data across multiple applications. Predictive models based on machine learning have recently grown substantially in prominence with in phase beyond preclinical research. In this stage, new drug discovery expenses and research times are significantly reduced. Utilizing pattern recognition algorithms, deciphering mathematical correlations, chemical and biological features of compounds, and machine learning has been used for drug development increasingly and more frequently, with positive outcomes. Other restrictions include the necessity for a large volume of data, a lack of interpretability, etc. Machine learning approaches are comparable to physical models in that they may be applied to large data sets without the need for computational resources.
Biosynthesis of Silver Nanoparticles, Bioactivity Profiling and Assessment of Photocatalytic Dye Degradation Activity in Punica granatum Juice
Authors: Anoop Dr Sindhu , D Ms Deepika
Published: November 2022

Abstract: The textile businesses, particularly dyeing industry is the major polluter in the globe, since the dye manufacturing necessitates a huge quantity of water. Plant mediated nanomaterials has the potential to dramatically accelerate the green revolution in the nanomaterial sectors where environmental contamination is a major problem. In the present study, Punica granatum fruit juice was used as plant source to carry out the green synthesis of AgNPs, reported for the first time. The Punica granatum is rich in polyphenols and flavonoids, responsible in the reduction of Ag+ ions to form AgNPs. The synthesized Punica granatum AgNPs were investigated using UV-vis spectrophotometry, where they had exhibited a visible color change and the maximum absorption peak at 421nm, confirming the formation Punica granatum AgNPs. The SEM analysis had revealed the particles morphology and confirmed the rectangular, spherical and rod structure of the particles. The FTIR analysis had shown the presence of different functional group responsible in the reduction and formation of AgNPs. Further, the dynamic light scattering has depicted the average size to be 228.3nm of the formed AgNPs and the size distribution of the particles in the colloidal solution. The photocatalytic degradation MB dye was carried out using the biosynthesized AgNPs and NaBH4, resulting in 99.4% degradation activity, with an increased concentration of the colloidal Punica granatum AgNPs. The quantitative detection of heavy metal salt solution was performed, with the use of Punica granatum AgNPs as a biosensor, showed its sensitivity towards mercury. The antibacterial activity performed against the following bacteria Escherichia coli, Pseudomonas aeruginosa, Bacillus subtilis, and Proteus sp., which had resulted in the formation of a clear zone of inhibition. Punica granatum AgNPs had also showed maximum of 80.94% of DPPH scavenging activity.
Application of Graph Theory to Find Minimal Paths Between Two Places for the Transportation Problem
Authors: M Nandhini , M Ramya
Published: November 2022

Abstract: Graph theory is used for finding communities in networks. Graphs are used as device for modeling and description of real world network systems such are: transport, water, electricity, internet, work operations schemes in the process of production, construction, etc. Although the content of these schemes differ among themselves, but they have also common features and reflect certain items that are in the relation between each other. In this paper, we study on how graph theory can generate transportation problem using shortest path, we designed the solution for practical problem to find a Minimum Spanning Tree(MST) by using Kruskal’s Algorithm and minimal path between two places and graph search Dijkstra’s algorithm.
Differential Equation in Modelling of HAIs
Authors: V Nandhini , T Ramesh
Published: November 2022

Abstract: We consider the SIR model related to HAI using a differential equation with differential mortality and constant population
Guia cicatricial em cirurgia plástica
Authors: Sant'Ana Manoel
Published: November 2022

Estudo panorâmico da indicação e aplicação de vários guias cicatriciais que podem ser utilizados em cirurgia plástica. Foi mostrada a conveniência da cooperação entre o cirurgião plástico e o cirurgião-dentista. Os diversos guias cicatriciais e zonas onde podem ser aplicados, foram apresentados.
Pericementites apicais após obturação de conduto
Authors: Cauduro Haroldo
Published: November 2022

Foi estudado o problema da sobreobturação após tratamento dos condutos. São examinadas as causas e é feito um estudo estatístico comparativo entre os diversos medicamentos empregados para combater a dor observada nestas ocasiões. É registrado ainda quais os dentes mais propensos a pericementite após a sobreobturação assim como a duração da mesma. Estuda-se também a incidência das pericementites após obturação de condutos nas bio, necropulpectomias ou gangrena pulpar.
Aplicación de las Tecnologías para la enseñanza de la matemática, física, química y biología: implicaciones didácticas. Experiencias en América Latina
Authors: Gamboa Mora María Cristina
Published: November 2022

Por fortuna una buena parte de los profesores en Colombia y en América Latina han mantenido su incertidumbre viva y su capacidad crítica como parte de la esencia que orienta su ejercicio profesional en la enseñanza de las ciencias, es así como esta obra presenta una compilación de experiencias que articulan la investigación, la tecnología y la sociedad como una triada sinérgica en el desarrollo de competencias básicas y científicas en los procesos educativos en diferentes niveles de formación, estas experiencias sin duda alguna enriquecen el discurso que alimenta la reflexión crítica y permanente sobre la didáctica de las Ciencias y que en el marco del Simposio Internacional De La Aplicación De La Tecnología Para La Enseñanza De La Matemática, La Física, La Química Y La Biología. El problema es tan complejo como compleja es la humanidad misma, pero definitivamente la creación e implementación de políticas educativas debe estar iluminada por la investigación, por la inversión efectiva de recursos que garanticen la equidad, su implementación, reconocimiento y resignificación del papel del maestro desde su formación inicial.
Resignificando la paz: una experiencia educativa con estudiantes desmovilizados y reinsertados de la Universidad Nacional Abierta y a Distancia UNAD
Authors: Herrera C. José Alexander , Caro Perdomo Juliana P. , Álvarez Martha , Gómez Serna Edwin A. , Jiménez Carmen S. , E. Luis
Published: November 2022

La presente propuesta pedagógica para la reinserción social y solidaria de los desmovilizados y reinsertados, es el resultado del proyecto de investigación denominado “Resignificando la paz, una experiencia educativa con estudiantes en condición de desmovilización y reinserción de la UNAD” adelantado por el grupo de investigación Cuchavira, adscrito a la Escuela de Ciencias Sociales Artes y Humanidades, en el marco de la convocatoria 002 del Sistema de Investigaciones de la Universidad Nacional Abierta y a Distancia. La propuesta presentada se argumenta desde tres categorías, a saber Decisión, Territorialidad y Educación, las cuales han surgido del análisis e interpretación de las entrevistas, por medio de la implementación de una matriz de análisis, elaborada para los fines mencionados. Además, el proceso de recolección de la información fue realizado utilizando la estrategia de narrativas, vinculada por medio de talleres aplicados a los estudiantes en condición de desmovilización y reinserción de la UNAD, en los CEAD de Bogotá-Medellín-Valledupar-Pasto-Popayán, La Dorada e Ibagué.
Desarrollo y extensión rural
Authors: Corredor Camargo Emma Sofía , Páez Barón Edwin Manuel , Fonseca Carreño Jorge Armando
Published: November 2022

El libro que presentamos a continuación es producto de los trabajos de investigación que los autores han realizado con comunidades rurales y de agricultura familiar campesina en Colombia. Presenta una mirada para un nuevo modelo de desarrollo rural y del sector agrario del país, en la cual establece los parámetros básicos para reconstruir el contexto rural un escenario que genere oportunidades productivas a partir del uso sostenible de la oferta ambiental, la generación de tecnología apropiada, el incremento de las capacidades de individuos, familias y la comunidad rural donde se fortalezca la idiosincrasia y el acervo cultural campesino, indígenas y afro en pro de mejores condiciones de vida y bienestar. Lo anterior es posible incorporando entre otros aspectos, una nueva concepción de la educación para las actividades de la ruralidad agraria, es decir cambiando los conceptos de la “Extensión rural”, sus intencionalidades y metodologías tradicionales por otras que incorporen de forma explícita el imaginario social de la población rural, su relación con el entorno natural y la valoración de sus prácticas y técnicas tradicionales. En los siguientes tres capítulos se exponen de forma detallada algunos elementos que contribuyen a una nueva mirada de la dimensión ambiental de la agricultura familiar expresada por Ángel Maya como la relación ecosistema - cultura, convirtiéndose así en el espacio en el cual confluyen la estructura simbólica, la organización socioeconómica y la plataforma tecnológica de millones de familias rurales de toda América Latina.
CLINICAL AND GENETIC RISK FACTORS FOR CYSTIC FIBROSIS-RELATED LIVER DISEASE IN EGYPTIAN CF CHILDREN: A SINGLE-CENTER EXPERIENCE
Authors: Nasr Samya , El-Faramawy Amel , MS Mohamed Al Emam , Hamza Heba Moustafa
Published: November 2022

Background: Cystic fibrosis (CF) is an autosomal recessive
disease affecting multiple organ systems, including the liver, leading
to cystic fibrosis-related liver disease (CFLD). It was noted that CFLD
in Egyptian children with CF is more common than in non-Egyptian people
with CF (pwCF). The present study aimed to determine the incidence of
CFLD and the potential risk factors for developing CFLD in Egyptian
children. The correlation between CFLD and the various genotypes
prevalent in Egyptian CF children and the comparison of CFLD in Egyptian
and non-Egyptian CF patients will be done. Methods: The current
cross-sectional study included 50 CF cases from Ain Sham University’s
Pediatric Pulmonology Clinic in Children‘s Hospital, Cairo, Egypt. The
sweat chloride test and genetic studies were done at the time of
diagnosis. All patients’ caregivers provided informed consent.
Additionally, all subjects underwent detailed history taking, laboratory
investigations, clinical assessment, and pelviabdominal ultrasound for
evaluation of hepatic involvement. Results: Male sex, severe
genetic mutation (class I and II), long duration, and early onset of the
disease were independent risk factors for CFLD development. In addition,
pancreatic insufficiency, as well as meconium ileus history, were
predictors of CFLD. Diabetes mellitus and severe lung disease were
proven to significantly elevate the risk of CFLD development.
Conclusion: CFLD is not uncommon in Egyptian CF patients as
one-third of the patients were found to have liver affection. CF
patients with multiple risk factors are at increased risk of developing
liver disease.
Automated Prediction of Complete Pathological Response to Neo-Adjuvant Chemoradiotherapy Using Hybrid Model -Based MRI Radiomics in Locally Advanced Cervical Cancer
Authors: yang hua , xu yinan , dong mohan , gong jie , huang dong , zhang ying , gou shuiping , zheng minwen , wei lichun , zhao lina
Published: November 2022

Background: To develop a model that could automatically predict
treatment response (pathologic complete response (pCR or non-pCR) for
patients with locally advanced cervical cancer (LACC) based on
T2-weighted MR images and clinical parameters. Methods: A total of 138
patients were en-rolled, T2-weighted MR images and clinical information
of the patients before treatment were collected. Clinical information
includes age, stage, pathological type, squamous cell carcinoma (SCC)
level, and lymph node status. A hybrid model extracted the domain
specific features from computational radiomics system, the abstract
features from deep learning network and the clinical parameters, and
employed an ensemble learning classifier to predict pCR. The area under
curve (AUC), accuracy (ACC), true positive rate (TPR), true negative
rate (TNR) and precision were used as evaluation metrics. Results: Among
138 LACC patients, 74 were in the pCR group and 64 were in the non-pCR
group. There was no significant difference between the two cohorts in
terms of tumor diameter, lymph node and stage before radiotherapy,
p=0.787, 0.068, 0.846, respectively. The average AUC, ACC, TPR, TNR and
precision of the proposed hybrid model was about 0.80, 0.71, 0.75, 0.66
and 0.71, while The AUC values of using clinical parameters, domain
specific features, abstract features alone were 0.61, 0.67 and 0.76,
respectively. The AUC value of model without ensemble learning
classifier was 0.76. Conclusions: The proposed hybrid model could
predict well the treatment response of patients with LACC, which might
help radiation oncologist to make personalized treatment plans for
patients.
The crucial role of planar π-conjugated segment in the molecular conformation of diphenyldibenzofulvene derivatives in crystals contributing to reducing emission energy
Authors: Fang Ming , Yu Xihan , Wei Wenjuan , Li Ruoxin , Chen Genqiang , Guan Yan , Wang Kai , Zou Bo , Wei Yen
Published: November 2022

Aggregation-induced emission luminogens (AIEgens) have been treated as
one kind of the most important materials utilized in applications
including organic light-emitting diodes, sensors, biological therapies,
and so on, owing to the intense emission in aggregated states. However,
the optical performance of AIEgens seems do not simply abide by the
empirical principle that the expanded π-conjugated molecular
conformations acquire the emission with lower energy. The unexpected
photophysical properties of AIEgens make molecular conformation design
more difficult. Herein, to unveil the crucial factors dominating the
optical performance of AIEgens, a series of diphenyldibenzofulvene
(DPDBF) derivatives in crystals are utilized. After systematically
analyzing the impact factors including molecular conformation parameters
and intermolecular coupling, and further discussing with the calculation
results by Gaussian 16, the emission energy of DPDBF derivatives in
crystals is assigned to the tight connection with the conformation of
the planar π-conjugated segment, but not the conformation torsion of
phenyl blades or the intermolecular coupling. Although the expanded
π-conjugated molecular conformation of the mentioned DPDBF derivatives
does decline the energy gap between HOMO to LUMO to some degree, the
Stokes shift effect which is dominantly impacted by the conformation of
planar π-conjugated moiety can realize to adjust the emission energy in
a much more efficient way.
Specific discrimination and synergistic elimination of Gram-positive bacteria by an aggregation-induced emission-active ruthenium (II) photosensitizer
Authors: Liu Meng , Song Wen , Deng Pei , Nong Shu , Zhang Xian , Yu Yue , Li Guan , Xu Li
Published: November 2022

The infections caused by Gram-positive bacteria (G+) have seriously
endangered public heath due to their high morbidity and mortality.
Therefore, it is urgent to develop a multifunctional system for
selective recognition, imaging and efficient eradication of G+.
Aggregation-induced emission materials (AIEgens) have shown great
promise for microbial detection and antimicrobial therapy. In this
paper, a multifunctional ruthenium (II) polypyridine complex Ru2 with
aggregation-induced emission (AIE) characteristic, was developed and
used for selective discrimination and synergistic extermination of G+
from other bacteria with unique selectivity. The selective G+
recognition benefited from the interaction between LTA and Ru2.
Accumulation of Ru2 on G+ membrane turned on its AIE lumienscence and
allowed specific G+ staining. Meanwhile, it also possessed robust
antibacterial activity for G+ in vitro and in vivo antibacterial
experiments attributing to the synergistic chemotherapeutic and
photodynamic therapeutic effects. To the best of our knowledge, Ru2 is
the first Ru-based AIEgen photosensitizer for simultaneous dual
applications of G+ detection and treatment, and inspire the development
of promising antibacterial agents in the future.
Optimization multi-energy multi-microgrid (\textsc{MMG}) operation with system robustness in consideration Kalman filter (KF) distributed algorithm
Authors: feng Fei , Du Xin , Si Qiang , Cai Hao
Published: November 2022

Carbon emissions trading is regarded as an effective method that can
consider both power economy and low-carbon environmental protection,
bringing new features to the conventional multi-microgrid (MMG)
day-ahead dispatch. In this paper, a robust decentralized energy
management framework for monitoring a collaborative structure of gas
turbines (GT), gas boilers (GB), ground source heat pumps (GSHP), energy
storage (ES), and electrolyzers for a microgrid (MG) in the presence of
power-to-gas (P2G) and carbon capture systems is proposed (CCS). Demand
response (DR) is presented as a means of improving the system’s
flexibility to multiple energy demands. As MMG are sensitive to price
fluctuations, the robust optimization model can manage uncertainty by
considering the worst-case scenario for trading prices at varying
conservative levels. The Kalman filter (KF) distributed algorithm based
on iteration is utilized to decompose the dispatch problem to minimize
the total daily overhead of the MMG system while protecting the privacy
of MG data. In conclusion, the simulation results demonstrate the
ability of the proposed decentralized model to meet the demand for
electricity and heat under the worst-case scenario of electricity
pricing.
A method for solving interval type-2 triangular fuzzy bilevel linear programming problem
Authors: Davoudi Niloofar , Hamidi Farhad , Nehi Hasan
Published: November 2022

In this paper, we consider the bilevel linear programming problem (BLPP) where all the coefficients in the problem are interval type-2 triangular fuzzy numbers (IT2TFNs). First, we convert a BLPP with IT2TFN parameters to an interval BLPP. In the next step, we solve BLPPs and obtain optimal solution as an IT2TFN.
As razões do poder material e do poder normativo na política internacional: o caso de Timor-Leste
Authors: Mendes Pedro Emanuel
Published: November 2022

This article proposes a theorization on the dynamics of material power and normative power reasons in international politics to explain the East Timorese question. The article compares two decisive moments, firstly, the initial phase of the Indonesian annexation and the birth of the international question of Timor; secondly, the final phase of its resolution and the birth of the East Timor state, supported by the United Nations (UN), Portugal, and other actors. The article shows that, in 1975, the actors did not consider the normative reasons. On the contrary, from 1999 onwards, actors were socialized to consider the illegitimacy of the Indonesian annexation and to decide following international norms.
Portugal e a descolonização de Timor: da Cimeira de Macau à invasão indonésia
Authors: Pereira Zélia , Graça Feijó Rui
Published: November 2022

The Macau Summit between Portugal and Timorese nationalist movements originated Law 7/75 which offered a roadmap for a peaceful decolonization of ‘Portuguese Timor’. Events in Lisbon and Dili immediately after its publication prevented the law from being implemented. However, Portugal decided to stick to its spirit – even if with some hesitations – and, in that sense, sought to intervene in the struggle between Timorese forces. The present article draws a history of the critical months that preceded the Indonesian invasion of that territory, which provisionally brought to a halt the process of self-determination.
PENDIDIKAN KESEHATAN KEBERSIHAN TANGAN BERBASIS AUDIO VISUAL DI RSUD R SYAMSUDIN SH KOTA SUKABUMI
Authors: Rakhmawati Citra , Susanti Eka , Mubarok Farid Widiyana Zamiul , Krissanti Hanny , Wulandari Wulandari
Published: November 2022

Pendidikan kesehatan penting dilaksanakan di rumah sakit, karena pendidikan kesehatan adalah komponen penting dari proses kesembuhan pasien dan merupakan bagian integral dari praktik keperawatan profesional. Tujuan: untuk meningkatkan pengetahuan masyarakat tentang pentingnya kebersihan tangan, untuk mencegah terjadinya infeksi dan penyakit dan melakukan sosialisasi kepada Profesional Pemberi Asuhan (PPA) mengenai fitur terbaru di aplikasi SIDEK yaitu pendidikan berbasis audio visual (video). Metoda Pelaksanaan: Koordinasi dengan manajemen rumah sakit tentang penambahan fitur media pendidikan kesehatan berbasis audio visual di dalam APLIKASI SIDEK, menambahkan fitur media pendidikan kesehatan berbasis audio visual dalam aplikasi SIDEK, pembuatan media Pendidikan kesehatan berbasis audio visual, melakukan sosilisasi penambahan media pedidikan kesehatan berbasis audio visual dalam aplikasi SIDEK, melakukan pendidikan kesehatan kepada penunggu pasien tentang kebersihan tangan  menggunakan media audio visual, membagikan hand sanitizer kepada penunggu pasien. Hasil: terdapat peningkatan pengetahuan masyarakat tentang kebersihan tangan dan berdasarkan hasil wawancara dengan penunggu pasien tentang pemberian pendidikan kesehatan 95 % memilih media audio visual (video) dibandingkan media leaflet. Kesimpulan: Terdapat penambahan fitur terbaru pada aplikasi SIDEK di RSUD R Syamsudin SH yaitu media pendidikan kesehatan berbasis audio visual (video). Pelaksanaan pendidikan kesehatan berbasis media audio visual kebersihan tangan terbukti dapat meningkatkan pengetahuan masyarakat tentang kebersihan tangan.
Russia's Possible View on the Future Shape of the War
Authors: Jurčák Vojtech , Marek Ján
Published: November 2022

Leading security experts warn the Western community about the correct understanding of Russia's vision of future conflicts. Based on the study of the available literature, we analyzed individual approaches and pointed out the importance of understanding Russia's individual steps to fulfill their interests. The aim of the research was to compare the approach of the Western Community and Russia to new ways of conducting future conflicts with an emphasis on the hybrid way of conducting war. In our research, we primarily focused on the Western vision of hybrid warfare and the Russian vision of the future war, which is diametrically different. The basic findings are that Russia is shaping military and non-military instruments of state power to combat hybrid threats. The Russian military defines "hybrid warfare" as an effort at the strategic level to shape, manage and geostrategically orient a target state, in which all means adopted, including the use of conventional military forces in regional conflicts, are the subject of an information campaign. Russia considers the Venezuelan presidential crisis, the Libyan conflict, the Syrian civil war, and the crisis in Belarus and Ukraine as examples of hybrid war. In conclusion, we assess that the Russian army is actively focusing on preparing for future conflicts and increasing the capabilities it considers necessary for victory in the hybrid war. In addition, we have compiled a list of measures to reassess the strategy and approach of the Western Community and Slovakia to Russia.