bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pharmaceutical Review of Sneha kalpana (Medicated oil & ghrita)
Authors: Turankar Dipika R. 
Published: April 2021

Ayurved has a long and strong heritage use of various formulations to treat various diseases. It has a wide range of drug delivery system in various physical as well as mental disorders, classics enumerates number of dosage forms in various kalpana. Sneha kalpana is one such which is in vogue since samhita period. Concept of medicated oil and ghrita is well established in Ayurveda under Sneha kalpana. It is process where various things like paste, decoction, ghrita or taila are employed for oleaginous medicaments.
Methodology-
Reviewing the Ayurvedic scientific literature; in this article there is an attempt to review regarding the Sneha kalpana preparation.
Effect of Gomutra Niruha Basti on Sthaulya (obesity)
Authors: Parwe Shweta 
Published: April 2021

Obesity is a serious health condition that can lead to an earlier death. A variety of medical problems, including high blood pressure, heart problems, diabetes, sleep apnea, depression and arthritis, have been associated with being overweight. An individual who is 30% heavier than his or her ideal weight (determined by standard medical and insurance data) is considered obese. Niruha Basti is one of the most important and commonly used therapies having wide range of therapeutic action. Niruha Basti is one which eradicates dosha (Humors) from the body, increases strength of the body and has Achintya shakti (unpredictable effects) Gomutra has Tikshna, Ushna, Laghu Virya: Ushna Vipaka: Katu having Kaphavata Shamaka and Used as Deepana, Lekhana, Pachana, Anulomana, Malshodhak Amapachana, it is also used in Virechana and Basti have predominance of Vayu and Agni Mahabhuta. So by means of such properties have a negative impact on Kaphavridhi and Medovridhi.
La formación del profesorado de Educación Primaria en diversidad sexo-genérica
Authors: Sánchez Torrejón Begoña 
Published: April 2021

El presente trabajo de investigación surge del objetivo de detectar la formación del profesorado en activo de la etapa de Educación Primaria sobre la diversidad sexo-genérica y su intervención con respecto a la inclusión del alumnado no heteronormativo en los centros escolares. Es un elemento clave en la inclusión del alumnado no heteronormativo la formación del profesorado en diversidades sexo-genéricas para la construcción de una escuela libres de LGTBfobias. Hemos utilizado la metodología cualitativa, concretamente el instrumento planteado para recabar la información ha sido la entrevista. La muestra del universo poblacional está compuesta por 40 profesores y profesoras en activo de Educación Primaria de la provincia de Cádiz de colegios públicos. Entre los resultados más destacados se refleja la confusión sobre la temática unido a la escasa formación, por lo cual el profesorado no tiene herramientas para incluir la diversidad sexo-genérica en los centros escolares. Se detecta que todavía es un tema tabú en la escuela y que crea situaciones de rechazo al plantearse. Destacamos el interés por parte del profesorado en recibir formación sobre la temática para poder trabajar de manera inclusiva la diversidad sexo-genérica.
This research work arises from the goal of detecting the training of active teachers in Primary Education on gender diversity and its intervention with respect to the inclusion of non-heteronormative students in schools. A key element in the inclusion of non-heteronormative students is the training of teachers in gender diversity for the construction of a school free of LGTBphobia. We have used the qualitative methodology, specifically the instrument proposed to collect the information has been the interview. The sample of the population universe is made up of 40 active Primary Education teachers from the province of Cadiz from public schools. Among the most notable results is reflected the confusion on the subject along with poor training, so teachers have no tools to include gender diversity in schools. We found that it is still a taboo subject at school and that it creates situations of rejection when it arises. We highlight the interest expressed by the teachers in receiving training on the subject in order to be able to work with gender diversity in an inclusive manner.
Inteligencia emocional, competencias y desempeño del docente universitario: Aplicando la técnica mínimos cuadrados parciales SEM-PLS
Authors: Ramirez Asis Edwin Hernan , Espinoza Maguiña Marcos Rosamel , Esquivel infantes Santos Miguel , Naranjo Toro Miguel Edmundo 
Published: April 2021

La relevancia de las emociones en la enseñanza es ahora un aspecto ampliamente estudiado, aunque se está deliberando sobre la forma en que los docentes pueden identificar, regular y controlar sus emociones, el estudio propone cómo se puede incorporar la inteligencia emocional en la enseñanza mediante las competencias para lograr un mejor desempeño docente. Se utilizó la técnica de la encuesta recopilando datos de 244 docentes universitarios a través de un cuestionario mediante el muestreo aleatorio simple. Los datos se han analizado mediante el modelado de ruta utilizando el enfoque de mínimos cuadrados parciales (PLS) del modelo de ecuaciones estructurales SEM con el software SmartPLS 3.3.0, los hallazgos revelaron que el modelo tiene un impacto significativo en el desempeño docente, los coeficientes de determinación fueron; habilidades del docente (r2=0.703) actitud del docente (r2=0.661), conocimientos del docente (r2=0.648) y para el desempeño del docente (r2=0.733). con un error cuadrático medio de aproximación (SRMR) de 0.056 que hace relevante el modelo confirmatorio. Por lo tanto, se demostró estadísticamente que la inteligencia emocional tiene un fuerte impacto en las competencias de los docentes, lo que a su vez contribuye en el desempeño del docente universitario.
The relevance of emotions in teaching is now a widely studied aspect, although the way in which teachers can carry out, regulate and control their emotions is being discussed, the study proposes how emotional intelligence can be incorporated into teaching through the competences to achieve better teaching performance. The survey technique was used, collecting data from 244 university teachers through a questionnaire using simple random sampling. The data has been analyzed using partial least squares path modeling (PLS), approach of the SEM structural equation model with the SmartPLS 3.3.0 software, the findings revealed that the model has a significant impact on teaching performance, the determination coefficients were; teacher skills (r2 = 0.703) teacher attitude (r2 = 0.661), teacher knowledge (r2 = 0.648) and for teacher performance (r2 = 0.733). with a root mean square error of approximation (SRMR) of 0.056 that makes the confirmatory model relevant. Therefore, it was statistically demonstrated that emotional intelligence has a strong impact on teachers' competences, which in turn contributes to the professor performance.
Factores Asociados a las Estrategias de Aprendizaje en Estudiantes Universitarios con y sin trabajo remunerado
Authors: Garrote Rojas Daniel , Jiménez-Fernández Sara , Ritacco Real Paola 
Published: April 2021

El trabajo de investigación que a continuación se describe pretende dar a conocer las diferentes estrategias de aprendizaje utilizadas por los estudiantes universitarios para afrontar las asignaturas, así como, las diferencias que pudieran darse entre los estudiantes que a la vez que cursan las asignaturas están trabajando y los que no trabajan. La muestra tiene una edad promedio de 22 años, con una mayoría de sujetos femeninos 92% frente a los masculinos y pertenecen a los cursos académicos 2017/18 y 2018/19 en la Universidad de Castilla-La Mancha, utilizando el Cuestionario de Estrategias de Aprendizaje y Motivación (CEAM II). Los resultados muestran diferencias en cinco subescalas: elaboración, aprovechamiento del tiempo-concentración, ayuda, constancia y autointerrogación. Los estudiantes que compatibilizan su formación universitaria con un trabajo retribuido y los estudiantes sin trabajo retribuido. Obteniéndose mayores puntuaciones medias para los sujetos que trabajan en seis de las siete subescalas frente a los que no trabajan, que obtuvieron mayor puntuación media en la subescala ayuda.
The research work that is described below aims to present the different learning strategies used by university students to face the subjects, as well as the differences that could occur between the students who, while they are studying the subjects, are working and those who don’t work. The sample has an average age of 22 years, with a majority of female subjects 92% compared to males and belong to the academic years 2017/18 and 2018/19 at the University of Castilla-La Mancha, using the Questionnaire on Strategies of Learning and Motivation (CEAM II). The results show differences in five subscales: elaboration, use of time-concentration, help, perseverance and self-examination. Students who combine their university education with paid work and students without paid work. Obtaining higher mean scores for the subjects who work in six of the seven subscales compared to those who don’t work, who obtained a higher average score in the help subscale.
Competencia emocional en maestros de educación infantil y primaria: fuentes de variabilidad y sugerencias de mejora.
Authors: García Domingo Begoña 
Published: April 2021

Dotar a los profesionales de la educación de niveles de Inteligencia Emocional elevados debe ser objetivo prioritario para las administraciones, ya que ello les permite afrontar con mayor eficacia la complejidad del actual contexto educativo. Sin embargo, no existen muchas publicaciones con muestras de maestros españoles en ejercicio, por lo que este trabajo pretende incrementar el conocimiento relativo a su perfil en Inteligencia Emocional Percibida (TMMS-24, Salovey y Mayer, 1995) y analizar la influencia que ejercen sobre él algunas variables. Nuestro objetivo principal es identificar la combinación de factores presente en el grupo de docentes emocionalmente menos competentes, ayudando con ello a optimizar los esfuerzos formativos a este respecto. Tras las comparaciones efectuadas en una muestra de 296 maestros de Educación Infantil y Primaria, los resultados sugieren que el perfil peor dotado emocionalmente parece ser el percibido por los docentes de infantil, de género femenino, que trabajan en centros públicos, que ejercen como tutores y que tienen más edad y años de experiencia. La discusión ofrece la interpretación y exposición detallada de estos resultados en orden a “ajustar” futuras sugerencias de mejora del perfil emocional de nuestros maestros.
Providing education professionals with high levels of Emotional Intelligence should be a priority goal for public administrations since it allows them to deal more effectively with the complex educational contexts in 21st century. Despite this, there aren´t many reports from practising Spanish teachers, so this work aims to increase knowledge about their profile in Perceived Emotional Intelligence (TMMS-24, Salovey and Mayer, 1995), analysing the influence of some factors on it. Our main objective is to identify the combination of factors present in the group of lowest emotional competence to optimise training efforts in this respect. The comparisons carried out on a sample of 296 Early Childhood and Primary Education teachers, point out that the less capable profile appears to be that perceived by the older and more experienced female Early Childhood Education teachers, working in public schools and who act as tutors. A more detailed presentation of these results is offered and interpreted in the discussion to "adjust" future suggestions to improve the emotional profile of our teachers.
Les centres de ressources périnatales (CRP) : portrait d’un segment méconnu du tiers secteur québécois
Authors: Tremblay1 Christophe , Deshaies2 Marie-Hélène , Hamelin-Brabant Louise , Roch Geneviève 
Published: April 2021

Différents organismes du tiers secteur québécois jouent un rôle central en matière de prestation de soins de santé et de services sociaux à la population. La contribution de certains d’entre eux, dont les centres de ressources périnatales (CRP), demeure toutefois méconnue. S’appuyant sur un échange d’informations stratégique auprès de 13 répondants et répondantes, un portrait des CRP est proposé. Neuf dimensions caractéristiques permettent d’apprécier le caractère distinctif et les forces des CRP, notamment leur approche d’intervention globale et leur potentiel pour catalyser le pouvoir d’agir des familles. Les défis de gouvernance et de financement auxquels ils peuvent être confrontés sont également identifiés.
A Reversible Data Hiding Scheme through Encryption using Rotated Stream Cipher
Authors: Manikandan V. M. 
Published: April 2021

The research in the domain of reversible data hiding got much attention in recent years due to its wide applications in medical image transmission and cloud computing. Reversible data hiding during image encryption is a recently emerged framework for hiding secret data into an image during the image encryption process. In this manuscript, we propose a new reversible data hiding through encryption scheme which will ensure a high embedding rate without bringing any additional overhead of key handling. The proposed algorithm can use any secure symmetric encryption scheme, and the encryption and/or decryption key should be shared with the receiver for data extraction and image recovery. As per the proposed scheme, the data hider can hide three-bits of secret message in an image block of size $B\times B$ pixels. The data extraction image recovery will be carried out by analyzing the closeness between adjacent pixels. The simulation of the new scheme on the USC-SIPI dataset shows that the proposed scheme outperforms the well-known existing schemes in embedding rate and bit error rate.
A review of microscopic analysis of blood cells for disease detection with AI perspective
Authors: Deshpande Nilkanth Mukund , Gite Shilpa , Aluvalu Rajanikanth 
Published: April 2021

BackgroundAny contamination in the human body can prompt changes in blood cell morphology and various parameters of cells. The minuscule images of blood cells are examined for recognizing the contamination inside the body with an expectation of maladies and variations from the norm. Appropriate segmentation of these cells makes the detection of a disease progressively exact and vigorous. Microscopic blood cell analysis is a critical activity in the pathological analysis. It highlights the investigation of appropriate malady after exact location followed by an order of abnormalities, which assumes an essential job in the analysis of various disorders, treatment arranging, and assessment of results of treatment.MethodologyA survey of different areas where microscopic imaging of blood cells is used for disease detection is done in this paper. Research papers from this area are obtained from a popular search engine, Google Scholar. The articles are searched considering the basics of blood such as its composition followed by staining of blood, that is most important and mandatory before microscopic analysis. Different methods for classification, segmentation of blood cells are reviewed. Microscopic analysis using image processing, computer vision and machine learning are the main focus of the analysis and the review here. Methodologies employed by different researchers for blood cells analysis in terms of these mentioned algorithms is the key point of review considered in the study.ResultsDifferent methodologies used for microscopic analysis of blood cells are analyzed and are compared according to different performance measures. From the extensive review the conclusion is made.ConclusionThere are different machine learning and deep learning algorithms employed by researchers for segmentation of blood cell components and disease detection considering microscopic analysis. There is a scope of improvement in terms of different performance evaluation parameters. Different bio-inspired optimization algorithms can be used for improvement. Explainable AI can analyze the features of AI implemented system and will make the system more trusted and commercially suitable.
Association between body mass index and blood pressure levels across socio-demographic groups and geographical settings: analysis of pooled data in Peru
Authors: Bernabe-Ortiz Antonio , Carrillo-Larco Rodrigo M. , Miranda J. Jaime 
Published: April 2021

Background
Understanding the relationship between BMI and blood pressure requires assessing whether this association is similar or differs across population groups. This study aimed to assess the association between body mass index (BMI) and blood pressure levels, and how these associations vary between socioeconomic groups and geographical settings.

Methods
Data from the National Demographic Health Survey of Peru from 2014 to 2019 was analyzed considering the complex survey design. The outcomes were levels of systolic (SBP) and diastolic blood pressure (DBP), and the exposure was BMI. Exposure and outcomes were fitted as continuous variables in a non-linear quadratic regression model. We explored effect modification by six socioeconomic and geographical variables (sex, age, education level, socioeconomic position, study area, and altitude), fitting an interaction term between each of these variables and BMI.

Results
Data from 159, 940 subjects, mean age 44.4 (SD: 17.1), 54.6% females, was analyzed. A third (34.0%) of individuals had ≥12 years of education, 24.7% were from rural areas, and 23.7% lived in areas located over 2,500 m above sea level. In the overall sample mean BMI was 27.1 (SD: 4.6) kg/m2, and mean SBP and DBP were 122.5 (SD: 17.2) and 72.3 (SD: 9.8) mmHg, respectively. In the multivariable models, greater BMI levels were associated with higher SBP (p-value < 0.001) and DBP (p-value < 0.001). There was strong evidence that sex, age, education level, and altitude were effect modifiers of the association between BMI and both SBP and DBP. In addition to these socio-demographic variables, socioeconomic position and study area were also effect modifiers of the association between BMI and DBP, but not SBP.

Conclusions
The association between BMI and levels of blood pressure is not uniform on a range of socio-demographic and geographical population groups. This characterization can inform the understanding of the epidemiology and rise of blood pressure in a diversity of low-resource settings.
Eliminating Dendrites and Side Reactions via a Multifunctional ZnSe Protective Layer toward Advanced Aqueous Zn Metal Batteries
Authors: Zhang Long , Zhang Biao , Zhang Teng , Li Tao , Shi Tengfei , Li Wei , Shen Tong , Huang Xiaoxiao , Xu Junjie , Zhang Xiaoguang , Wang Zhiyi , Hou Yanglong 
Published: April 2021

AbstractThe development of aqueous Zn metal batteries (AZMBs) is impeded by severe corrosion, H2 evolution, and dendrite formation issues. In addition, the inability of AZMBs to achieve a large capacity also hinders their commercialization. Here, a multifunctional ZnSe protective layer is reported to synchronously solve the above issues. The ZnSe layer can efficiently provide anticorrosion while also suppressing hydrogen evolution. Systematic analyses of the mechanism suggest that the low Zn affinity of ZnSe and the unbalanced charge distribution at the interface can promote a uniform distribution of Zn2+ and accelerate Zn2+ migration, thus realizing dendrite‐free behavior. Therefore, the Zn@ZnSe symmetric cell exhibits notable rate performance and cycling stability (1500 h). Moreover, this symmetric cell can still stabilize with a low polarization (50 mV), even at 10 mA cm−2 with 5 mAh cm−2. The full cell paired with MnO2 achieves a long lifespan (1800 cycles) with a Coulombic efficiency near 100%. Therefore, this strategy for eliminating dendrites and side reactions at a high rate with a large capacity provides a promising solution for the development of AZMBs.
Discrimination of COVID‐19 From Inflammation‐Induced Cytokine Storm Syndromes Using Disease‐Related Blood Biomarkers
Authors: Kessel Christoph , Vollenberg Richard , Masjosthusmann Katja , Hinze Claas , Wittkowski Helmut , Debaugnies France , Nagant Carole , Corazza Francis , Vély Frédéric , Kaplanski Gilles , Girard‐Guyonvarc’h Charlotte , Gabay Cem , Schmidt Hartmut , Foell Dirk , Tepasse Phil‐Robin 
Published: April 2021

ObjectiveInfection with the novel coronavirus SARS–CoV‐2 triggers severe illness with high mortality in a subgroup of patients. Such a critical course of COVID‐19 is thought to be associated with the development of cytokine storm, a condition seen in macrophage activation syndrome (MAS) and secondary hemophagocytic lymphohistiocytosis (HLH). However, specific data demonstrating a clear association of cytokine storm with severe COVID‐19 are still lacking. The aim of this study was to directly address whether immune activation in COVID‐19 does indeed mimic the conditions found in these classic cytokine storm syndromes.MethodsLevels of 22 biomarkers were quantified in serum samples from patients with COVID‐19 (n = 30 patients, n = 83 longitudinal samples in total), patients with secondary HLH/MAS (n = 50), and healthy controls (n = 9). Measurements were performed using bead array assays and single‐marker enzyme‐linked immunosorbent assay. Serum biomarker levels were assessed for correlations with disease outcome.ResultsIn patients with secondary HLH/MAS, we observed pronounced activation of the interleukin‐18 (IL‐18)–interferon‐γ axis, increased serum levels of IL‐1 receptor antagonist, intercellular adhesion molecule 1, and IL‐8, and strongly reduced levels of soluble Fas ligand in the course of SARS–CoV‐2 infection. These observations appeared to discriminate immune dysregulation in critical COVID‐19 from the well‐recognized characteristics of other cytokine storm syndromes.ConclusionSerum biomarker profiles clearly separate COVID‐19 from MAS or secondary HLH in terms of distinguishing the severe systemic hyperinflammation that occurs following SARS–CoV‐2 infection. These findings could be useful in determining the efficacy of drugs targeting key molecules and pathways specifically associated with systemic cytokine storm conditions in the treatment of COVID‐19.
Visible‐Light‐Driven Selective Air‐Oxygenation of C−H Bond via CeCl3 Catalysis in Water
Authors: Xie Pan , Xue Cheng , Shi Sanshan , Du Dongdong 
Published: April 2021

AbstractVisible‐light‐induced C−H aerobic oxidation is an important chemical transformation that can be applied for the synthesis of aromatic ketones. High‐cost catalysts and toxic solvents were generally needed in the present methodologies. Here, an efficient aqueous C−H aerobic oxidation protocol was reported. Through CeCl3‐mediated photocatalysis, a series of aromatic ketones were produced in moderate to excellent yields. With air as the oxidant, this reaction could be performed under mild conditions in water and demonstrated high activity and functional group tolerance. This method is economical, highly efficient, and environmentally friendly, and it will provide inspiration for the development of aqueous photochemical synthesis reactions.