bluuebunny/crossref_metadata_2025 huggingface dataset:
The Buffer Function of Wealth in Socioemotional Responses to Covid‐19 in Italy
Authors: Gritti Davide , Gioachin Filippo , Zamberlan Anna
Published: January 2023

The social stratification of material consequences of individual‐level disruptive events is a widely researched topic. Less is known about the stratification of psychological outcomes in response to contextual‐level disruptive events. We aim to fill this gap by investigating the aftermath of the Covid‐19 pandemic on individuals’ dispositional optimism and the stratification based on unequal wealth resources. The study focuses on Italy, the first European country to be strongly hit by Covid‐19, and one characterised by high levels of private savings and homeownership. Theoretically, we draw on the conventional social inequalities framework informed by insights from the literature on natural disasters, positing that wealth‐related resource disparities may have stratified the socioemotional response to the pandemic. Empirically, we leverage a combination of individual‐level longitudinal survey data (Bank of Italy’s Special Survey of Italian Households) and municipality‐level official statistics on excess mortality (Italian National Institute of Statistics), covering the first 17 months of the Covid‐19 pandemic in Italy. Results indicate overall negative consequences of severe exposure to risks associated with the pandemic on optimism. However, we found evidence in line with a post‐traumatic growth scenario, as optimism slightly increased over the course of the pandemic. The insurance function of wealth emerges in the higher optimism of individuals with more resources. Nevertheless, resource disparities are not translated into stark differences in susceptibility to risk exposure or post‐traumatic growth. Overall, our findings support a limited insurance function of wealth in the socioemotional sphere.
Family Climate in Pandemic Times: Adolescents and Mothers
Authors: Eichhorn Thomas , Schüller Simone , Steinberg Hannah Sinja , Zerle-Elsäßer Claudia
Published: January 2023

In this article, we examine changes in family climate during the first Covid‐19‐related lockdown in Germany. We compare the perspectives of mothers and adolescents to explore whether the factors of perceived changes in family climate are systematically and significantly different between these groups. We measure family climate as positive emotional climate, a sub‐dimension of the family environment scale, to capture a feeling of cohesion and emotional openness within the family. Based on family system theory and the family stress model, we expect an overall deterioration in family climate due to increased environmental adaptation in the pandemic. Furthermore, we expect family climate to deteriorate less when families have economic and social resources available. On the other hand, we assume that being employed and/or primarily responsible for family care relates to a stronger decline in the family climate. We employ longitudinal survey data (AID:A) from around 300 German families with children aged nine to 17 and apply individual fixed effects models to investigate changes in family climate from 2019 to 2020. Almost half of our respondents report a decrease in family climate. For mothers, the share of unpaid care work at home is the only significant predictor: Mothers doing more than 80% of the chores and childcare feel a greater decrease in family climate. For adolescents, however, being at risk of poverty and having less frequent family activities are important predictors of stronger decreases in family climate. In summary, our results illustrate the relevance of distinguishing between the perspective of children and parents in family studies.
Growing Pains: Can Family Policies Revert the Decline of Fertility in Spain?
Authors: Elizalde-San Miguel Begoña , Díaz Gandasegui Vicente , Sanz María T.
Published: January 2023

This article aims to analyze the capability of family policies to reverse the sharp decline in fertility that has been observed in Spain in recent decades. The analysis was carried out by applying two mathematical techniques: the genetic algorithm and the strategic scenarios. Firstly, a mathematical model was designed and validated adjusting the combined performance of fertility and family policies during the 2008–2019 period. Subsequently, this model was applied to the future (2020–2060) to extrapolate the evolution of fertility considering different models of family policies. The results demonstrate that a model of family policies that is coherent with other socially desirable objectives, such as gender and social equality, will be insufficient to reverse the current downward trend in fertility. Therefore, these outcomes point to the need to articulate and harmonize diverse public policies considering the principles of equality and well‐being to modify the recent decline in fertility. An increase in fertility must therefore be identified as a socially desirable goal and public policies must be adapted to this objective, in the understanding that fertility not only requires family policies but also their coherence with the employment and educational policies and work–life balance mechanisms offered by public institutions.
Fiduciary Activism From Below: Green Gentrification, Pension Finance, and the Possibility of Just Urban Futures
Authors: Parish Jessica
Published: January 2023

This article investigates the evolving concept of fiduciary duty and its role in Canadian public sector pension funds’ environmental, social, and governance (ESG) investing practices. It contributes to the literature in the distinct but related fields of environmental gentrification and urban climate finance by bringing fiduciary debates into sharper focus. Engagement with issues surrounding investors’ legal and ethical duties to invest responsibly can contribute to an enhanced understanding of the global and local mechanisms of production and reproduction of environmental and spatial inequalities, as well as strategies for creating more than just urban futures. ESG, a calculative and modelling technique used to manage investment risks, overwhelmingly focuses on physical and financial climate risks (e.g., infrastructure assets and risks associated with regulatory change). This privileges the instrumental, Cartesian view of the environment as severed from its social, historical, and relational character, a perspective that has been thoroughly critiqued in the environmental/ecological gentrification literature. However, ESG investing has also introduced a potentially productive uncertainty in the realm of financial expertise; it forces questions about what it means to invest deferred compensation in the “best interests” of workers and retirees. This article has three interrelated aims. First, it reviews recent trends in environmental gentrification and urban climate finance literature to highlight an emerging but underdeveloped engagement with ESG and fiduciary duty. Second, it shows how the rise of ESG has revealed a vulnerability in the hegemonic profit maximization interpretation of fiduciary duty and invited further, open-ended, critical-theoretical engagements with the concept of the fiduciary and their responsibilities. Finally, it offers the concept of “fiduciary activism from below” to explore how grassroots agency increasingly stages a direct confrontation with corporations, institutional investors, and shareholders in the struggles over urban space and resistance to environmental and infrastructural violence.
«Being Only Then Begins to Be When It Is Threatened with Non-being»: In Search of Dostoevsky, or to the Anniversary of B.N. Tikhomirov
Authors: Dergacheva I.V.
Published: January 2023

This article, written for the anniversary of B.N. Tikhomirov, one of the most distinguished researchers of F.M. Dostoevsky, is an attempt to reflect the scale of his unique activity in popularizing the creative heritage of the great Russian writer. A huge achievement of the hero of the day is his selfless activity in systematizing and publishing autographs of F.M. Dostoevsky, a hermeneutic interpretation of his texts from the standpoint of the patristic Christian tradition and a description of the locus Petersburg text, reflecting the topography of the writer and his characters with jewelry accuracy. The special contribution of B.N. Tikhomirov introduced textual criticism into the editorial field by preparing real, mythopoetic, historical and literary commentaries on Dostoevsky's texts. Scientific thought of B.N. Tikhomirov covered every aspect of philological knowledge about the great Russian writer and his works, his works demonstrate the breadth of methodology and the variety of methods of literary analysis of Dostoevsky's literary and journalistic text, the historical and literary process of his time, fragments of literary life.
Application of Internet of Things to Ensure Improved Performance within the Internal Supply Chain Unit of an Organization
Authors: Chandra Wijaya, Fibria Indriati Yana Ernawan,
Published: January 2023

With the rapidly changing business world, technology adapted for doing business has also undergone rapid transformation leading to use Internet of Things as an advanced technological innovation required to connect production units to internet devices for smooth production and operation, with enhanced ICT systems and infrastructure. Internet of Things is considered to be an advanced information and communication technology, whose applicability is highly needed to ensure smart performance of organizations in Indonesia. Indonesia, being a developing country, adapting to new ways of doing things, including the use of IoT takes time, hence affecting studies regarding the use of IoT in business units, such as the internal supply chain sector. Thus, there is no much studies from a localized perspective, measuring the importance and using IoT as well as supply chain performance of the country. The present paper applied an organizational capacity theory to establish the Internet of Things impact on varying dimensions of Supply Chain, which included supply chain integration process, organizational performance of supply chain and the capacity to the influence production. The research applied a survey of cross-section on several companies within the Greater Jakarta area as the research approach. Data was obtained from over 161 companies from across Jakarta. Finally, the data was analyzed with the help of the structural equation modelling (SEM-AMOS) for the development of an empirical structural model.
Cyclostationary Algorithm for Signal Analysis in Cognitive 4G Networks with Spectral Sensing and Resource Allocation
Authors: Batyha Radwan M. , Janani Dr. S. , Hymlin Rose Dr. S. G. , Lolandes Yanina Gallardo , Ortiz Geovanny Genaro Reivan , Navaz Shahista
Published: January 2023

Cognitive Radio (CR) effectively involved in the management of spectrum to perform improved data transmission. CR system actively engaged in the data sensing, learning and dynamic adjustment of radio spectrum parameters with management of unused spectrum in the signal. The spectrum sensing is indispensable in the CR for the management of Primary Users (PUs) and Secondary users (SUs) without any interference. Spectrum sensing is considered as the effective adaptive signal processing model to evaluate the computational complexity model for the signal transmission through Matched filtering, Waveform and Cyclostationary based Energy sensing model. Cyclostationary based model is effective for the energy based sensing model based on unique characteristics with estimation of available channel in the spectrum to extract the received signal in the PU signal. Cyclostationary based model uses the spectrum availability without any periodic property to extract the noise features. This paper developed a Adaptive Cross Score Cyclostationary (ACSCS) to evaluate the spectrum sensing in the CR network. The developed ACSCS model uses the computational complexity with estimation of Signal-to-Interference-and-Noise Ratio (SINR) elimination of cost function. ACSCS model uses the Adaptive Least square Spectral Self-Coherence Restoral (SCORE) with the Adaptive Cross Score (ACS) to overcome the issues in CR. With the derived ACSCS algorithm minimizes the computational complexity based on cost function compared with the ACS algorithm. To minimize the computational complexity pipeline triangular array based Gram-Schmidt Orthogonalization (GSO) structure for the optimization of network. The simulation performance analysis with the ACSCS scheme uses the Rician Multipath Fading channel to estimate detection probability to sense the Receiver Operating Characteristics, detection probability and probability of false alarm using Maximum Likelihood (ML) detector. The ACSC model uses the Square-law combining (SLC) with the moment generation function in the multipath fading channel for the channel sensing with reduced computational complexity. The simulation analysis expressed that ACSC scheme achieves the maximal detection probability value of 1. The analysis expressed that proposed ACSC scheme achieves the improved channel estimation in the 4G communication environment.
Data Security Enhancement in 4G Vehicular Networks Based on Reinforcement Learning for Satellite Edge Computing
Authors: Lira Luis Alberto Núñez , Kumari Kukati Aruna , Raman Dr. Ramakrishnan , Kurniullah Ardhariksa Zukhruf , Morales Santiago Aquiles Gallarday , Cordero Tula Del Carmen Espinoza
Published: January 2023

The vehicular network provides the dedicated short-range communication (DSRC) with IEEE 802.11p standard. The VANET model comprises of cellular vehicle-to-everything communication with wireless communication technology. Vehicular Edge Computing exhibits the promising technology to provide promising Intelligent Transport System Services. Smart application and urban computing. Satellite edge computing model is adopted in vehicular networks to provide services to the VANET communication for the management of computational resources for the end-users to provide access to low latency services for maximal execution of service. The satellite edge computing model implemented with the 4G vehicular communication network model subjected to data security issues. This paper presented a Route Computation Deep Learning Model (RCDL) to improve security in VANET communication with 4G technology. The RCDL model uses the route establishment model with the optimal route selection. The compute route is transmitted with the cryptographic scheme model for the selection of optimal route identified from the satellite edge computing model. The proposed RCDL scheme uses the deep learning-based reinforcement learning scheme for the attack prevention in the VANET environment employed with the 4G technology communication model. The simulation results expressed that proposed RCDL model achieves the higher PDR value of 98% which is ~6% higher than the existing model. The estimation of end-to-end delay is minimal for the RCDL scheme and improves the VANET communication.
ECG Analysis-Based Cardiac Disease Prediction Using Signal Feature Selection with Extraction Based on AI Techniques
Authors: Sharma Anamika Shukla , Hota Dr. H.S.
Published: January 2023

ECG (Electrocardiogram) performs classification using a machine learning model for processing different features in the ECG signal. The electrical activity of the heart is computed with the ECG signal with machine learning library. The key issue in the handling of ECG signals is an estimation of irregularities to evaluate the health status of patients. The ECG signal evaluate the impulse waveform for the specialized tissues in the cardiac heart diseases. However, the ECG signal comprises of the different difficulties associated with waveform estimation to derive certain features. Through machine learning (ML) model the input features are computed with input ECG signals. In this paper, proposed a Noise QRS Feature to evaluate the features in the ECG signals for the effective classification. The Noise QRS Feature model computes the ECG signal features of the waveform sequences.  Initially, the signal is pre-processed with the Finite Impulse response (FIR) filter for the analysis of ECG signal. The features in the ECG signal are processed and computed with the QRS signal responses in the ECG signal. The Noise QRS Feature evaluate the ECG signal with the kNN for the estimation and classification of features in the ECG signals. The performance of the proposed Noise QRS Feature features are comparatively examined with the Discrete Wavelet Transform (DWT), Dual-Tree Complex Wavelet Transforms (DTCWT) and Discrete Orthonormal Stockwell Transform (DOST) and the machine learning model Cascade Feed Forward Neural Network (CFNN), Feed Forward Neural Network (FFNN). Simulation analysis expressed that the proposed Noise QRS Feature exhibits a higher classification accuracy of 99% which is ~6 – 7% higher than the conventional classifier model.
Smart Grid Sensor Monitoring Based on Deep Learning Technique with Control System Management in Fault Detection
Authors: Awasthi Mr. Aishwary , T R Mahesh , Joshi Dr. Rutvij , Pandey Dr. Arvind Kumar , Saxena Dr. Rini , Goswami Subhashish
Published: January 2023

The smart grid environment comprises of the sensor for monitoring the environment for effective power supply, utilization and establishment of communication. However, the management of smart grid in the monitoring environment isa difficult process due to diversifieduser request in the sensor monitoring with the grid-connected devices. Presently, context-awaremonitoring incorporates effective management of data management and provision of services in two-way processing and computing. In a heterogeneous environment context-aware, smart grid exhibits significant performance characteristics with the grid-connected communication environment for effective data processing for sustainability and stability. Fault diagnoses in the automated system are formulated to diagnose the fault separately. This paper developed anoptimized power grid control model (OPGCM) model for fault detection in the control system model for grid-connected smart home appliances. OPGCM model uses the context-aware power-awarescheme for load management in grid-connected smart homes. Through the adaptive smart grid model,power-aware management is incorporated with the evolutionary programming model for context-awareness user communication. The OPGCM modelperforms fault diagnosis in the grid-connected control system initially, Fault diagnosis system comprises of a sequential process with the extraction of the statistical features to acquirea sustainable dataset with effective signal processing. Secondly, the features are extracted based on the sequential process for the acquired dataset with a reduction of dimensionality. Finally, the classification is performed with the deep learning model to predict or identify the fault pattern. With the OPGCM model, features are optimized with the whale optimization model to acquire features to perform fault diagnosis and classification. Simulation analysis expressed that the proposed OPGCM model exhibits ~16% improved classification accuracy compared with the ANN and HMM model.
Cloud Computing Based Network Analysis in Smart Healthcare System with Neural Network Architecture
Authors: Tello Alcides Bernardo , Jie Shi , D Dr. Manjunatha , B M Dr. Kusuma Kumari , Sayyad Dr Shabnam
Published: January 2023

The recent progressions in Artificial Intelligence (AI), the Internet of Things (IoT), and cloud computing transformed the traditional healthcare system into a smart healthcare system. Medical services can be improved through the incorporation of key technologies namely AI and IoT. The convergence of AI and IoT renders several openings in the healthcare system. In machine learning, deep learning can be considered a renowned topic with a wide range of applications like biomedicine, computer vision, speech recognition, drug discovery, visual object detection, natural language processing, disease prediction, bioinformatics, etc. Among these applications, medical science-related and health care applications were raised dramatically. This study develops a Cloud computing-based network analysis in the smart healthcare systems with neural network (CCNA-SHSNN) architecture. The presented CCNA-SHSNN technique assists in the decision-making process of the healthcare system in a real time cloud environment. For data pre-processing, the CCNA-SHSNN technique uses a normalization approach. Secondly, the CCNA-SHSNN technique applies the autoencoder (AE) model for healthcare data classification in the CC platform. At last, the gravitational search algorithm (GSA) is used for hyperparameter optimization of the AE model. The experimental outcomes are determined on a benchmark dataset and the outcomes signify the outperforming efficiency of the CCNA-SHSNN technique compared to existing techniques.
Baloxavir marboxil as a new specific anti-influenza drug
Authors: Breslav Natalia V. , Ignatjeva Anna V. , Mukasheva Evgeniya A. , Krepkaia Anastasiya S. , Burtseva Elena I.
Published: January 2023

Baloxavir marboxil is the first antiviral drug with a unique single dose, registered in Russia in September 2020 under the trade name Xoflusa, for treating infection caused by influenza A and B viruses.
This article presents an overview of studies on the anti-influenza activity of baloxavir marboxil by foreign colleagues. Data from scientific articles by different authors were analyzed and in vitro results and clinical data were considered, which can help in making recommendations for the use of the drug for the treatment and postexposure prophylaxis of influenza.
Baloxavir marboxil acts as a selective low-molecular-weight inhibitor of an enzyme specific to the influenza virus in the viral RNA polymerase complex and is effective against strains resistant to oseltamivir. In the combined phenotypic analysis and analysis based on the sequence in the polymerase acidic (PA) protein, the frequency of viruses showing reduced susceptibility to the drug remains low.
Numerous studies have demonstrated the safety profile and productivity of influenza treatment in various groups (without risk factors and high-risk patients). Baloxavir marboxil stops the replication of the influenza virus in the early stages, which terminates its release during the first day and significantly relieves the patients condition on the second day. Monitoring of the antiviral activity of the drug, especially in children aged 12 years and people with weakened immunity, should be closely monitored to develop clinical recommendations and prevent the formation of substitutions I38(T/F/M/S/L/V) in the PA of influenza A and B viruses that reduce their sensitivity to the drug.
Transitional lumbosacral vertebrae
Authors: Skryabin Evgeny G.
Published: January 2023

Transitional lumbosacral vertebrae in the form of SI lumbarization and LV sacralization are classified as spinal anomalies. In the domestic medical literature, there are few publications devoted to these pathological conditions. In the course of a study of the available literature on the problem of transitional lumbosacral vertebrae, it was found that the frequency of cases of transitional lumbosacral vertebrae diagnosis ranges from 4 to 30% of clinical cases. The share of patients with lumbar vertebrae accounts for an average of 40% of cases, the share of patients with sacralization of the vertebrae is 60% of clinical observations. Mutations in the Hox gene are considered to be the trigger for the development of pathology, and pain is usually the leading clinical symptom. Plain radiography, computed tomography and magnetic resonance imaging are used to diagnose the pathology. Radiation imaging of the entire spine is required to eliminate errors in vertebrae counting. The type of pathology is determined using various classifications. As conservative therapeutic agents, drug blockades applying anesthetics and hormonal drugs are used. The arsenal of surgical interventions includes resection of the enlarged transverse process of the supracacral vertebra, decompression of stenotic intervertebral foramina, impulsive radiofrequency ablation, and posterior fusion. Measures for the prevention of pathology are not currently developed.
Efficacy and safety of allergen-specific immunotherapy in children
Authors: Delian Viktoria Y.
Published: January 2023

Atopic diseases are one of the most common chronic diseases in children and adolescents. They lead to a significant deterioration in the quality of life of patients and their families. The only strategy for the treatment of atopic diseases that has a disease-modifying effect is allergen-specific immunotherapy. The purpose of this review is to summarize the literature data on the practical aspects of allergen-specific immunotherapy use in children and adolescents with allergic rhinoconjunctivitis and atopic bronchial asthma. An analysis of scientific articles has shown that allergen-specific immunotherapy can reduce the severity of symptoms of allergic rhinoconjunctivitis and/or atopic bronchial asthma and reduce the amount of pharmacotherapy, as well as reduce the risk of bronchial asthma developing in patients with allergic rhinoconjunctivitis. The current evidence of the preventive effect of allergen-specific immunotherapy in relation to the development of new sensitizations in monosensitized patients is unconvincing, and, according to many authors, new randomized clinical trials are needed. According to most experts, allergen-specific immunotherapy should be started in children from 5 years of age in the presence of proven immunoglobulin E-mediated sensitization to one or more allergens, carried out for at least 3 years, using preparations in which the presence of major allergens is documented. At the same time, both subcutaneous and sublingual administration of allergens has comparable effectiveness. Allergen-specific immunotherapy is a safe and well-tolerated treatment for children, but currently there is no generally accepted classification of possible adverse events, as well as a standardized and uniform system for assessing their severity.
Features of the immune and metabolomic profile in overweight children associated with polymorphic variants of the IL-1B and TP53 genes
Authors: Dolgikh Oleg V. , Zaitseva Nina V. , Nikonoshina Natalya A. , Alekseev Vadim B.
Published: January 2023

Background. The growing number of overweight children is an important problem of modern healthcare. Excess body weight causes the risk of severe metabolic disorders developing. Analysis of changes in the immune, metabolic, and genetic profile of overweight children as markers of the early development of metabolic disorders is an effective tool for the prevention, diagnosis, and treatment of these pathologies.
Aim. To identify the features of the immune and metabolomic profile in overweight children aged 711 years associated with polymorphic variants of the IL-1B (rs1143634) and TP53 (rs1042522) genes.
Material and methods. 132 children aged 711 years were examined: 54 children with overweight and 78 children with normal body weight. The lymphocytes subpopulation composition was analyzed by flow cytometry; the content of leptin, cortisol, superoxide dismutase, lipid hydroperoxide and interleukin-1 using enzyme immunoassay, immunoglobulin G using the method of radial immunodiffusion method by Mancini. Polymorphic variants of the IL-1B (rs1143634) and TP53 (rs1042522) genes were identified by real-time polymerase chain reaction. Statistical data processing was implemented in the Statistica 10, SNPStat and Gen-Expert programs.
Results. The immune profile of the examined children was characterized by an increased content of CD3+CD8+-, CD19+-lymphocytes and immunoglobulin G against the background of CD3+CD4+-lymphocytes, p53 deficiency and a decrease in the number of CD4+/CD8+. The metabolomic profile of children was characterized by an excess content of leptin, cortisol, lipid hydroperoxides, and superoxide dismutase. The identified changes in immune and metabolomic regulation in overweight children were significantly associated with the G allele and GG genotype of the IL-1B gene (rs1143634), as well as with the C allele and CC genotype of the TP53 gene (rs1042522), which cause the initiation of inflammation and inhibition of apoptosis.
Conclusion. The established features of immune and metabolomic regulation associated with the G allele and GG genotype of the IL-1B gene (rs1143634) and with the C allele and CC genotype of TP53 gene (rs1042522) represent a complex of markers of overweight formation in children aged 711 years.
Detección del virus del papiloma humano en biopsias de cancer de mama mediante PCR e inmunohistoquimica en el Hospital Santa Rosa durante el 2019
Authors: Mamani-Zapana Enrique , Vilcapoma-Diaz Meyling , Ortiz-Muchotrigo Nazario
Published: January 2023

El objetivo de este estudio fue determinar la presencia del Virus Papiloma Humano (VPH) tipo 16 y 18 en biopsias de tejido mamario parafinado de pacientes con diagnóstico clínico de cáncer de mama. Se analizaron 32 biopsias de cáncer de mama embebidas en parafina para detectar el ADN de VPH mediante PCR en tiempo real, los iniciadores estuvieron dirigidos al gen E6. Se evaluaron el tipo histológico, grado histológico y la sobreexpresión de C-erB2 y Ki-67 mediante inmunohistoquímica. El 84,38% (27) fueron positivos para VPH, el 25% (8) fueron positivos para VPH-16 y el 59,38% (19) para VPH-18. El 15,63% (5) de las muestras presentaron infección mixta. Se evidenció la sobrexpresión de C-erbB2 y Ki-67 en 6,25% (2) de las muestras positivas para VPH-16 y 15,63% (5) de las muestras positivas para VPH-18. Se detectó ADN de VPH-16 y VPH-18 en las muestras de biopsias analizadas mediante PCR en tiempo real.
Correlación y concordancia del índice de masa corporal con el perímetro abdominal y el índice cintura-talla en adultos peruanos de 18 a 59 años
Authors: Aparco Juan Pablo , Cárdenas-Quintana Haydeé
Published: January 2023

Objetivos. Determinar la correlación y concordancia diagnóstica del índice de masa corporal (IMC), con el perímetro abdominal (PA) y el índice cintura-talla (ICT). Materiales y métodos. Se realizó un estudio descriptivo, transversal, de datos secundarios usando las bases de datos antropométricos de la Encuesta Vigilancia Alimentaria y Nutricional por Etapas de Vida Adulto de 18 a 59 años 2017-2018 que incluyó 1084 personas para los dominios geográficos Lima Metropolitana, resto urbano y rural. Se estimaron las prevalencias de obesidad según IMC, PA e ICT y se empleó el coeficiente de correlación de Lin y Kappa de Cohen para determinar la correlación y concordancia entre las tres mediciones antropométricas. Resultados. Según los criterios de IMC, PA e ICT las prevalencias de obesidad fueron de 26,8%, 50,4% y 85,4%, respectivamente; las prevalencias fueron mayores en mujeres y en mayores de 30 años. La correlación entre IMC vs. PA e IMC vs. ICT fue pobre y de PA con ICT fue moderada, con diferencias entre hombres y mujeres. Además, la concordancia entre IMC y PA fue aceptable, mientras que la concordancia entre IMC vs. ICT fue leve. Conclusiones. Los resultados de la correlación y concordancia son limitados y sugieren que no son medidas intercambiables, por lo que es necesario evaluar la suficiencia de emplear solo IMC para el diagnóstico de obesidad en el Perú. Esta limitada correlación y concordancia se refleja en las diferentes proporciones de obesidad que oscilan entre 26,8% a 85,4% al aplicar los tres criterios.
In vitro antimicrobial activity of Bixa orellana L. leaves extract against anaerobic bacteria associated to bacterial vaginosis and Lactobacillus spp.
Authors: Marcas Jenny , Romero Liz , Tipiani Oswaldo , Loyola Steev , Tamariz Jesús
Published: January 2023

Objective. To describe the in vitro antimicrobial activity of the methanolic extract of Bixa orellana L. leaves against anaerobic bacteria associated to bacterial vaginosis and  Lactobacillus spp. Materials and methods. Eight ATCC reference strains; Gardnerella vaginalis, Prevotella bivia, Peptococcus niger, Peptostreptococcus anaerobius, Mobiluncus curtisii, Atopobium vaginae, Veillonella parvula, and Lactobacillus crispatus, and twenty-two clinical isolates; eleven Gardnerella vaginalis and eleven Lactobacillus strains, were included in the study. The antimicrobial susceptibility was determined by the agar diffusion method. The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were determined by using agar dilution and a modified dilution plating method, respectively. Results. All ATCC reference strains showedhigh levels of susceptibility to the extract, except P. vibia, V. parvula and L. crispatus. Interestingly, all G. vaginalis clinical isolates and the G. vaginalis ATTC strain were the most susceptible to the extract, given their low MIC (1.0 – 2.0 mg/mL) and MBC (1.0 – 4.0 mg/mL) values, whereas, the Lactobacillus spp. clinical isolates and the L. crispatus ATCC strain were the least susceptible bacteria given their high MIC (32.0 mg/mL) and MBC (≥ 32.0 mg/mL) values. Conclusions. In vitro experiments suggest that the extract possesses selective antimicrobial properties given its high activity against bacterial vaginosis-associated anaerobic bacteria and low activity against Lactobacillus species.
Enfermedad neumocócica invasiva en pacientes de un hospital pediátrico de Perú, 2017-2020
Authors: Marín-Portocarrero Julio Guillermo , Quispe-Sanchez Alan , Charca-Rodriguez Flor de Maria , Atamari-Anahui Noé
Published: January 2023

El propósito del presente estudio fue describir las características clínicas, serotipos y susceptibilidad antibiótica en pacientes con enfermedad neumocócica invasiva (ENI). Se revisaron las historias clínicas de los pacientes con ENI hospitalizados en el Instituto Nacional de Salud del Niño-Breña (Lima, Perú). Se evaluaron a 29 pacientes. La mediana de edad fue 1,9 años (rango intercuartílico 1 a 4 años). El 51,7% eran mujeres y la forma clínica de la ENI más frecuente fue la bacteriemia en 18 (62,1%) pacientes. El 65,5% tenía el esquema de vacunación completo, según el Ministerio de Salud de Perú. El 82,8% del aislamiento del germen fue de sangre. La resistencia antibiótica fue más frecuente a la eritromicina (55,2%), trimetoprim-sulfametoxazol (48,3%) y penicilina (24,1%). Los serotipos registrados fueron 6C, 19A, 23A y 24F. Un paciente falleció por meningitis. En conclusión, la ENI fue más frecuente en niñosde uno a cinco años y en la forma clínica de bacteriemia. Se encontraron cinco serotipos reportados en estudios previos con resistencia a penicilina y eritromicina.
MICROPHAGIC ACTIVITY IN HENS WITH MAREK’S DISEASE
Authors: OPRESCU Alexandra , VASIU Aurel , SANDRU Carmen Dana , OLAH Diana , SPINU Marina , PALL Emoke , DUCA Gheorghita , MARIAN Florina , ZABLAU Sergiu , MITREA Ioan Liviu
Published: January 2023

Microphages represent the first line of defence against microbial aggression. The research aimed at evaluating phagocytosis during a Marek’s disease episode in Rosso layers, showing ocular lesions, in spite of the vaccination at 1 day of age. Heparinized blood (50 IU/ml) was subjected to the in vitro carbon particle inclusion test on days 0 and 15 of the episode. Two microliters of an India ink were added to 0.5ml of blood; 0.15·ml of the mixture were transferred to 2·ml of saline and the rest was incubated for 30·min at 37°C and procedure repeated. Phagocytic activity index was calculated as the difference between the natural logarithms of the optical densities of the phagocytosis read spectrophotometrically (λ = 535·nm, d = 1·cm) after centrifugation (2500rpm for 10min), divided by time. The values indicated a significant (p = 0.0259) increase of the phagocytosis towards the end of the monitoring interval, thus indicating an evolving disease and underlining the probability of innate immunity being stimulated by the herpesvirus during the observation period. Specific cell-mediated immunity and functional levels of humoral immune effectors quantification could complete the pathogenic pattern in these birds.
ROLE OF ENVIRONMENTAL PARAMETERS IN THE DISTRIBUTION OF MEIOBENTHIC FAUNA (OSTRACODA AND FORAMINIFERA) IN THE ROMANIAN BLACK SEA SHELF
Authors: PAVEL Ana Bianca , MENABIT Selma , LUPASCU Naliana , KREUTER Sylvain
Published: January 2023

With limited research undertaken on the distribution and biodiversity of meiobenthic fauna (living Ostracoda and Foraminifera) in the Black Sea, the present study has focused to create the baseline data for the Romanian Black Sea continental shelf. For this purpose, 9 short core samples were collected using a multi-corer in water depth ranging from 27.8 m to 41.8 m in May 2018 around the Sf. Gheorghe area (map sheet L35-120B). A total of 14 species were found belonging to Ostracoda (7 families), Cercozoa (one family), Foraminifera (5 families). The highest density of meiobenthic species was correlated with the highest concentration of CaCO3 where the substrate is dominated by a clayey silt or sandy silt while TOC concentrations were negatively correlated with the low densities occurring in the western part of the perimeter silt clay substrate is found. The density of soft-shelled foraminifera has a positive correlation with the concentration of salinity in the bottom water samples, and depth and a negative correlation with the bottom water temperature. The density of Ostracoda has a positive correlation with temperature and depth but a negative correlation with salinity in the bottom water samples. The relationships between high concentrations of CaCO3and increased abundances of meiobenthic fauna and high concentrations of TOC and low meiofauna abundances, respectively, reinforce the hypothesis according to which the dispersal of meiofaunal species is strongly influenced by environmental gradients. The data collected from Romanian Black Sea Shelf (Sf. Gheorghe Area) in the perimeter of the map sheet L35-120B, suggest another record of soft shelled monothalamous Foraminifera and Gromiidae group.
EFFECTS OF LENTIL (Lens culinaris) SCREENING AS A REPLACEMENT FOR NOUG SEED CAKE (Guizotia abyssinica) ON THE DIETS OF GROWING FARTA LAMBS IN ETHIOPIA
Authors: TEFERA Desalegn , ASMARE Bimrew , BEYERO Netsanet
Published: January 2023

A study was performed with the objective to assess nutrient biological performance and assess economic feasibility of Farta lambs fed wheat straw (WS) as a basal feed and supplemented with lentil screening (LS) in replacement for noug seed cake (NSC). The experimental sheep were blocked into five based on their initial body weight and randomly assigned to treatment diets within each block. The experimental design used for this study was randomized complete block design (RCBD) with five replications. Result indicated %CP contents of experimental feeds were 26.13, 25.00 and 5.66 for lentil screening, NSC and WS, respectively. There was significant difference in WS DM intake (p<0.05) in all treatment groups. The supplement DM intake increased significantly (p<0.001) as lentil screening level increased from 0, 29.4, 55.4, 78.8, and 100% from (T1-T5), respectively. Total DM intake was significantly different (p<0.01) among all treatment groups but CP intake was not significantly different among treatments (p>0.05). Average daily body weight gain (ADG) and feed conversion efficiency (FCE) were significantly different (p<0.01) among treatment groups. Among treatment groups, T5 had higher (p<0.01) daily body weight gain (76.44 g/d) as compared to T4 (72.1 g/d), T3 (69.8 g/d), T2 (62.89 g/d), T1 (58.28 g/d). T5 returned a higher net income (110.94 Ethiopian Birr (EB)/sheep) as compared to the other treatment groups. From biological performance and economic return T5 could be recommended as an alternative supplement for growing Farta sheep both in biological performance and better economic gain.
EXPERIMENTAL RESEARCH ON HARVESTING SPECIES OF MEDICINAL PLANTS GROWN ON SMALL AREAS
Authors: MUSCALU Adriana , TUDORA Catalina , SORICA Cristian , VLADUT Nicolae Valentin , MIRZAN Oana , NAIE Margareta
Published: January 2023

The operation of harvesting medicinal plants is one of the important factors, which influences the quality of plant material and thus its value. In order to optimize the cultivation technologies and to adapt them to the local conditions, INMA Bucharest has developed and tested a multifunctional equipment for the mechanized harvesting of medicinal plants (annual and perennial), cultivated on small and medium areas. This equipment, of small capacity, equipped with interchangeable working parts, performs the harvesting operation by cutting, at a certain height from the ground. The paper presents the results obtained when testing the experimental model of Multifunctional equipment for harvesting medicinal and aromatic plants in the crops of three species of medicinal plants, grown on small areas. Determining for each crop some qualitative working indices (average working height, cutting degree, collecting degree, losses, etc.) as well as some energy indices (working speed, hourly fuel consumption, working capacity, etc.) allows the evaluation of the technical and working performances of the Multifunctional equipment for harvesting medicinal and aromatic plants.
MYCOTECHNOLOGY FOR VALORISATION OF FRUIT TREE WASTES AS ECO-FRIENDLY AND USEFUL PRODUCTS
Authors: PETRE Marian , TEODORESCU Razvan Ionut , STANICA Florin , GIOSANU Daniela , TETU Gabriela
Published: January 2023

The main aim of this work was to set up the optimal mycotechnology for valorisation of fruit tree wastes by using them as growing sources for Basidiomycetes mushrooms, in order to get eco-friendly and useful products. In vitro experiments were carried out through controlled cultivation of two mushroom species, Ganoderma applanatum and Ganoderma lucidum, on substrates made of fruit tree wastes. There were set up three variants of substrates consisting of lignocellulosic wastes belonging to apple, plum and cherry trees, mixed with cereal grain wastes, such as wheat and barley bran, which were placed in ceramic trays and metal pots. After thermal sterilization and inoculation with the pure mushroom cultures, the substrates were placed inside growth chambers at the temperature of 23 °, the air flow volume exchanges 3-5 m3/h and the relative humidity content 90-95%, RU. The mushroom growth inside the substrates made of lignocellulosic wastes has followed the controlled biotechnological aiming to minimize the duration of cultivation and maximize the final production eco-friendly materials and biodegradable products.
EFFECT OF THE TILLAGE SYSTEMS AND FOLIAR FERTILIZATIONS ON ASSIMILATION, PRODUCTION AND QUALITY OF WHEAT IN THE TRANSYLVANIAN PLAIN CONDITIONS
Authors: BARDAS Marius , RUSU Teodor , SIMON Alina , CHETAN Felicia , POPA Alin , VATCA Sorin
Published: January 2023

Research was conducted using Andrada winter wheat variety created at the Agricultural Research and Development Station Turda. The crop was treated with two types of foliar fertilizers, Folimax Gold and MicrofertU which were applied in two tillage systems: conventional and no-tillage. The main purpose of this paper is to assess the influence of foliar fertilization in the two systems of conventional tillage and conservative systems with no-tillage. Various growth stages of the wheat crop, in achieving high yields and quality indices were assessed. The promotion and identification of physiological mechanisms in wheat are useful in assessing biological development, correlated with the productivity elements of winter wheat. Measurements of assimilation of the physiological parameters and chlorophyll concentration were performed on the standard flag leaf five days from the last treatment, using foliar fertilizers considering the duration of adaptation of tissues in flag leaf. Measurements were performed five times per plant and five plants per variant, with three repetitions in June. Technology used in wheat cultivation showed that the net assimilation, physiological parameters, and production were higher, registering higher values for the conventional system (tilling), ranging between 27-30 μmolm<sub<-2</sub< s<sub<-1</sub<, and an increase of production, of over 700 kg ha-1. The values were statistically confirmed, as being significantly positive, compared to those from the conservative no-tillage system, in the conditions of the Transylvanian Plain. Physiological parameters taken into study had higher values for the conventional system in the variants treated with foliar fertilizers, compared to the no-tillage system, leaf to air vapor pressure deficit (VPD) being inversely proportional. Foliar fertilization applied to the Andrada wheat variety has beneficially influenced the quality indices in the two tillage systems, the percentage of protein obtained being between 12.1-13.8%, gluten between 23.5-27.3%, Zeleny index between 35-48%, and the mass of one thousand grains (MTG) was between 50-53.1 g.
CONVERGENCE ANALYSIS ON FOREIGN TRADE INTEGRATION OF FOOD SECTORS IN EU CONTEXT
Authors: RUSALI Mirela Adriana
Published: January 2023

The paper is part of the efforts to meet the strategic objectives of the National Plan for the adoption of the Euro and addresses the analysis of convergence on the integration of foreign trade in Romania in the EU context, aiming to help substantiate the specific measures and actions required by the agri-food sector. The method approached a two fold, analysis, by estimating the coefficients of variation and the unit value index of the foreign trade flows calculated for each subsector of food industry. The results point on products in sectors with major market imbalances / recovery, convergent / divergent developments in unit export prices at country level, deviation from average unit export price and differences in the average annual growth rate of unit export prices, in Romania compared to the EU average.
STABILITY AND ADAPTABILITY OF YIELD AND YIELD RELATED TRAITS IN BULGARIAN TRITICALE (×Triticosecale Wittm.) CULTIVARS IN DROUGHT CONDITIONS
Authors: STOYANOV Hristo
Published: January 2023

To determine the adaptability and stability of yield and its related traits during drought conditions in triticale, eleven contemporary Bulgarian cultivars were studied according to the indices yield, number of productive tillers, 1000 kernel weight and number of grains in spike, applying four parameters: regression coefficient and deviation from regression, ecovalence and stability variance of Shukla. Drought had a significant effect on the yield related traits, which differed considerably according to the different parameters of stability. The best combination of stability and adaptability according to number of productive tillers and 1000 kernel weight was observed in Bumerang and Doni 52. The parameter number of grains in spike behaved in a rather complex manner under conditions of drought and the separate stability parameters related to contradictory results. The widest adaptability according to this parameter was observed in cultivars Rakita, Lasko and Respekt. The stability and adaptability parameters of the separate yield traits was not functionally related to the same parameters of yield, which determined the investigated cultivars as developed according to a complex of traits and being suitable for growing under variable environments.