bluuebunny/crossref_metadata_2025 huggingface dataset:
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level
Authors: Yakaboski Chase , Santos, Jr Eugene
Published: June 2023

Successful machine learning methods require a trade-off between memorization and generalization. Too much memorization and the model cannot generalize to unobserved examples. Too much over-generalization and we risk under-fitting the data. While we commonly measure their performance through cross validation and accuracy metrics, how should these algorithms cope in domains that are extremely under-determined where accuracy is always unsatisfactory? We present a novel probabilistic graphical model structure learning approach that can learn, generalize and explain in these elusive domains by operating at the random variable instantiation level. Using Minimum Description Length (MDL) analysis, we propose a new decomposition of the learning problem over all training exemplars, fusing together minimal entropy inferences to construct a final knowledge base. By leveraging Bayesian Knowledge Bases (BKBs), a framework that operates at the instantiation level and inherently subsumes Bayesian Networks (BNs), we develop both a theoretical MDL score and associated structure learning algorithm that demonstrates significant improvements over learned BNs on 40 benchmark datasets. Further, our algorithm incorporates recent off-the-shelf DAG learning techniques enabling tractable results even on large problems. We then demonstrate the utility of our approach in a significantly under-determined domain by learning gene regulatory networks on breast cancer gene mutational data available from The Cancer Genome Atlas (TCGA).
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
Authors: Yang Fuhao , Li Xin , Wang Min , Zang Hongyu , Pang Wei , Wang Mingzhong
Published: June 2023

Multivariate time series (MTS) analysis and forecasting are crucial in many real-world applications, such as smart traffic management and weather forecasting. However, most existing work either focuses on short sequence forecasting or makes predictions predominantly with time domain features, which is not effective at removing noises with irregular frequencies in MTS. Therefore, we propose WaveForM, an end-to-end graph enhanced Wavelet learning framework for long sequence FORecasting of MTS. WaveForM first utilizes Discrete Wavelet Transform (DWT) to represent MTS in the wavelet domain, which captures both frequency and time domain features with a sound theoretical basis. To enable the effective learning in the wavelet domain, we further propose a graph constructor, which learns a global graph to represent the relationships between MTS variables, and graph-enhanced prediction modules, which utilize dilated convolution and graph convolution to capture the correlations between time series and predict the wavelet coefficients at different levels. Extensive experiments on five real-world forecasting datasets show that our model can achieve considerable performance improvement over different prediction lengths against the most competitive baseline of each dataset.
Simple and Efficient Heterogeneous Graph Neural Network
Authors: Yang Xiaocheng , Yan Mingyu , Pan Shirui , Ye Xiaochun , Fan Dongrui
Published: June 2023

Heterogeneous graph neural networks (HGNNs) have the powerful capability to embed rich structural and semantic information of a heterogeneous graph into node representations. Existing HGNNs inherit many mechanisms from graph neural networks (GNNs) designed for homogeneous graphs, especially the attention mechanism and the multi-layer structure. These mechanisms bring excessive complexity, but seldom work studies whether they are really effective on heterogeneous graphs. In this paper, we conduct an in-depth and detailed study of these mechanisms and propose the Simple and Efficient Heterogeneous Graph Neural Network (SeHGNN). To easily capture structural information, SeHGNN pre-computes the neighbor aggregation using a light-weight mean aggregator, which reduces complexity by removing overused neighbor attention and avoiding repeated neighbor aggregation in every training epoch. To better utilize semantic information, SeHGNN adopts the single-layer structure with long metapaths to extend the receptive field, as well as a transformer-based semantic fusion module to fuse features from different metapaths. As a result, SeHGNN exhibits the characteristics of a simple network structure, high prediction accuracy, and fast training speed. Extensive experiments on five real-world heterogeneous graphs demonstrate the superiority of SeHGNN over the state-of-the-arts on both accuracy and training speed.
Leveraging Structure for Improved Classification of Grouped Biased Data
Authors: Zeiberg Daniel , Jain Shantanu , Radivojac Predrag
Published: June 2023

We consider semi-supervised binary classification for applications in which data points are naturally grouped (e.g., survey responses grouped by state) and the labeled data is biased (e.g., survey respondents are not representative of the population). The groups overlap in the feature space and consequently the input-output patterns are related across the groups. To model the inherent structure in such data, we assume the partition-projected class-conditional invariance across groups, defined in terms of the group-agnostic feature space. We demonstrate that under this assumption, the group carries additional information about the class, over the group-agnostic features, with provably improved area under the ROC curve. Further assuming invariance of partition-projected class-conditional distributions across both labeled and unlabeled data, we derive a semi-supervised algorithm that explicitly leverages the structure to learn an optimal, group-aware, probability-calibrated classifier, despite the bias in the labeled data. Experiments on synthetic and real data demonstrate the efficacy of our algorithm over suitable baselines and ablative models, spanning standard supervised and semi-supervised learning approaches, with and without incorporating the group directly as a feature.
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering
Authors: Zhang Chao , Li Huaxiong , Lv Wei , Huang Zizheng , Gao Yang , Chen Chunlin
Published: June 2023

Incomplete multi-view clustering (IMVC) has attracted remarkable attention due to the emergence of multi-view data with missing views in real applications. Recent methods attempt to recover the missing information to address the IMVC problem. However, they generally cannot fully explore the underlying properties and correlations of data similarities across views. This paper proposes a novel Enhanced Tensor Low-rank and Sparse Representation Recovery (ETLSRR) method, which reformulates the IMVC problem as a joint incomplete similarity graphs learning and complete tensor representation recovery problem. Specifically, ETLSRR learns the intra-view similarity graphs and constructs a 3-way tensor by stacking the graphs to explore the inter-view correlations. To alleviate the negative influence of missing views and data noise, ETLSRR decomposes the tensor into two parts: a sparse tensor and an intrinsic tensor, which models the noise and underlying true data similarities, respectively. Both global low-rank and local structured sparse characteristics of the intrinsic tensor are considered, which enhances the discrimination of similarity matrix. Moreover, instead of using the convex tensor nuclear norm, ETLSRR introduces a generalized non-convex tensor low-rank regularization to alleviate the biased approximation. Experiments on several datasets demonstrate the effectiveness of our method compared with the state-of-the-art methods.
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
Authors: Zhao Yang , Xie Jianwen , Li Ping
Published: June 2023

Numerous research efforts have been made to stabilize the training of the Generative Adversarial Networks (GANs), such as through regularization and architecture design. However, we identify the instability can also arise from the fragile balance at the early stage of adversarial learning. This paper proposes the CoopInit, a simple yet effective cooperative learning-based initialization strategy that can quickly learn a good starting point for GANs, with a very small computation overhead during training. The proposed algorithm consists of two learning stages: (i) Cooperative initialization stage: The discriminator of GAN is treated as an energy-based model (EBM) and is optimized via maximum likelihood estimation (MLE), with the help of the GAN's generator to provide synthetic data to approximate the learning gradients. The EBM also guides the MLE learning of the generator via MCMC teaching; (ii) Adversarial finalization stage: After a few iterations of initialization, the algorithm seamlessly transits to the regular mini-max adversarial training until convergence. The motivation is that the MLE-based initialization stage drives the model towards mode coverage, which is helpful in alleviating the issue of mode dropping during the adversarial learning stage. We demonstrate the effectiveness of the proposed approach on image generation and one-sided unpaired image-to-image translation tasks through extensive experiments.
Drained instability of coarse oil sand tailings
Authors: Sadrekarimi Abouzar , Sarkar Grytan
Published: June 2023

Lateral stress relief and effective stress reduction have been recognised as the culprits in flow failures of several mine tailings dams. This research examines the instability of coarse oil sand tailings (CSTs) subjected to such a stress path through a series of monotonic direct simple shear tests. To investigate the impact of tailings fabric, laboratory specimens were reconstituted by moist-tamping, air pluviation and slurry deposition techniques. Loose, medium-dense and dense specimens were prepared and consolidated to target vertical and initial shear stresses. The vertical stress was subsequently unloaded while maintaining a constant initial shear stress under a drained condition. The occurrence of instability coincided with the volumetric collapse of the specimens followed by a sharp rise in shear strain. The effects of consolidation stress, bitumen, void ratio, initial shear stress and unloading rate on the drained instability of CST specimens were also investigated.
A theoretical suggestion to interdisciplinary explanation of hunger strike: re-thinking the identity fusion theory
Authors: PARLAK Cansu
Published: June 2023

There has been a controversy on whether hunger strikes and self-immolations in prisons are rationally adopted reactions or consequences of mental disorders that prisoners commonly develop. Neurobiological and evolutionary researches and experiments on self-sacrifice may explain sacrificial behavior to some extent, as they lack ideational and political perspectives. The reasons for sacrificial behavior have been interpreted (correctly, yet not thoroughly) by medical practitioners for prevention. Such self-sacrificing behavior must not be confused with suicidal behavior, which is also prevailing in prisons. Self-sacrifice in prison may imply a method of political participation, and not a result of a prisoner's mental illness related to serotonergic dysregulation or any other psychopathology, but a reasonable response to difficult situations and injustices. Group identification, ideology, historical affirmation, and martyr mythology are the reasons for adopting / disregarding self-sacrifice and determining the severity of self-sacrificing behavior. This paper attempts to address this dilemma, suggesting there is an inextricable relation between social psychology, ideology and historical heritage in explaining self-sacrificial behavior. To this end, the theories of normative and rational uses of violence to self-sacrifice will be adapted and hybrid motive behind hunger strikes will be sought. Then, the connection of Identity Fusion Theory, which sheds light on extreme pro-group behaviors, and self-sacrifice behavior will be discussed.
Aligning Corporate Strategies with the Sustainable Development Goals
Authors:   Birmingham City University, Pirzada Kashan , Ahmed Kamran ,   La Trobe University, Moens Gabriel ,   The University of Queensland, Forgan Smith Building
Published: June 2023

The introductory paper of this special issue examines general issues of synthesizing the corporate strategies with the sustainable development goals (SDGs), as well as knowledge generation and adoption of new technologies to achieve SDGs. In the next section of this editorial, we summarise the eight papers included in this special issue. We conclude the editorial by offering insights for future research in this area.
Green Banking for Sustainable Development
Authors:   Azerbaijan State University of Economics, Murshudli Fakhri Fuad
Published: June 2023

The ever-increasing threat of global climate change, environmental pollution, and the destructive impact of human activities highlight the need for more detailed research into tools to increase a country’s environmental sustainability. In addition, it promotes the search for additional sources of funding for these activities. For developing countries, one of the main sources of environmentally sustainable development is international bank financing. Therefore, this study aims to analyze how international green banking affects the environmental sustainability of developing countries. For this purpose, the data series were compiled for the period of 2010 to 2020. The annual data for panel regression analysis are retrieved from the OECD and World Bank Open Data. The identified effects can be useful for government officials in terms of determining the benefits of using international green banking for gaining environmental sustainability.
Realization of Sustainable Organizational Performance Using New Technologies and Green Human Resource Management Practices
Authors:   Islamic Azad University, Shayegan Shady , Bazrkar Ardeshir ,   Islamic Azad University, Yadegari Reza ,   Islamic Azad University
Published: June 2023

The introduction of a culture of environmental responsibility is becoming not just a branding tool, but also an important factor in business development. This article explores the possibility of increasing the environmental performance of companies through green methods of personnel management using the example of Iranian car manufacturers. The study combines survey and correlation-analytical methods. The study reveals that the improvement of green methods of human resource management, covering such aspects as recruitment, training, and performance management, has a positive and significant impact upon the environmental performance of companies. The effectiveness of these activities increases with the use of new technologies such as learning management systems (LMS), cloud computing, and artificial intelligence. The application of green methods in personnel management stimulates the implementation of a corporate strategy of sustainable development and opens new career opportunities for employees. The benefits for the companies lie in the improvement of corporate image, the growing demand for their products, the improvement of production safety, and, consequently, that of the internal organizational climate.
Modelo de cuadro de mando para la gestión del talento. Estudio aplicado a una empresa de servicios
Authors: Ávila Vila Santiago , Tomàs Pérez Cristina , Montalvo García Adolfo
Published: June 2023

Si bien resulta habitual que desde la alta dirección se afirme que los empleados son el activo más valioso de la empresa, no lo es tanto que el departamento de gestión del talento reciba un trato equivalente al de otras áreas corporativas. De ahí, que se muestre necesitado de evidenciar la importancia de su gestión. El objetivo de este trabajo es elaborar una propuesta de cuadro de mando de la gestión del talento, que informe de las relaciones causa-efecto que se dan desde la percepción que tienen los empleados de las políticas de dirección de personas que aplica la empresa, hasta sus consecuentes últimos derivados de un mayor compromiso organizacional. Para ello, tras realizar una introducción sobre la necesidad de medir la gestión del talento, e integrar los conceptos de Clima y Compromiso Organizacionales, se presenta la propuesta misma del modelo y su aplicación empírica en una empresa de servicios. Los resultados, permiten afirmar la congruencia e idoneidad del modelo propuesto. Se concluye, que es necesario presupuestar los índices de Clima y Compromiso, para que el proceso de mejora continua del departamento de RRHH no quede solo supeditado al seguimiento de indicadores de efecto (absentismo, rotación…) y de presupuesto económico.
The Effects of Fly Ash and Cow Manure on Water Spinach Grown on An Ultisol of Lampung, Indonesia
Authors: Priyadi  , Taisa Rianida , Kurniawati Nurleni
Published: June 2023

Fly ash is the residue of coal combustion that can potentially be an ameliorant. Unfortunately, its use is limited by government regulations that are classified as hazardous and toxic materials. This study examines the effectiveness of fly ash and cow manure as an ameliorant for Ultisols. The experiment was carried out by two factors, i.e., the dose of fly ash, namely 0, 50, 100, and 150 t/ha, and the quantity of cow manure, i.e., 10, 20, and 30 t/ha. The results show that fly ash and cow manure could be ameliorants for low-pH soils such as Ultisols. The suitable dose of fly ash and cow manure as ameliorants in this study are 50 t/ha and 20 t/ha, respectively. Increasing the amount of fly ash caused a decrease in the growth of water spinach, plant height, number of leaves, fresh plant weight, root length, and dry weight of the root. In addition, fly ash increased pH 6.66-7.30, total P 31.74-52.21 mg/100 g, and total K 16.19-25.75 mg/100 g.
Physicochemical Properties of Soil Cultivated with Durian (Durio zibethinus Murr.) in Gua Musang, Kelantan
Authors: Amran Athirah , Ariffin Mohd Rizal , Isa Isharudin Md , Ahmed Osumanu Haruna , Herman Gary , Muhamad Siti Hazwani , Nor Nur Atikah Mohd , Khairuddin Mohd Nizar
Published: June 2023

This study was carried out in an area cultivated with durian in Gua Musang, Kelantan with a soil series of Rengam-Jerangau. The objective of this study was to determine the physicochemical properties of soil cultivated with durian at different elevations and samplings. The soil composite sampling was determined at three elevations (top, middle and bottom elevation) marked using GPS coordinate with two different depths (0-15 cm and 15-30 cm). The United States Department of Agriculture (USDA) of the soil texture is clay with bulk density ranging between 0.98 to 1.11 g/cm3. Significant parameters at alpha value of 95% include total carbon content (0.903% until 1.389%), total sulphur content (0.059% to 0.100%), exchangeable bases calcium, potassium and sodium at 3.520 cmolc/kg to 5.582 cmolc/kg, 0.380 to 0.581 cmolc/kg and 0.101 to 0.155 cmolc/kg respectively. From the significant parameters, only exchangeable potassium was affected by the by both elevation and depth of the sampling while the other parameters were only affected by the elevation. As some of the nutrients had been classified as low, extensive measures need to be done for healthy growth performance.
Optimization of Aquaponic Lettuce Evapotranspiration Based on Artificial Photosynthetic Light Properties Using Hybrid Genetic Programming and Moth Flame Optimizer
Authors: Bautista Mary Grace Ann , Concepcion II Ronnie , Bandala Argel , Mendigoria Christan Hail , Dadios Elmer
Published: June 2023

Land and water resources, climate change, and disaster risks significantly affect the agricultural sector. An effective solution for growing crops to improve productivity and optimize the use of resources is through controlled-environment agriculture (CEA). Evapotranspiration (ET) is an important greenhouse crop attribute that can be optimized for optimum plant growth. Light intensity and radiation are significant for controlling ET. To address this challenge, this study successfully determined the properties of optimum artificial light for minimum evapotranspiration rate of head development-stage and harvest-stage lettuce under light-period and dark-period using genetic programming and bio-inspired algorithms namely, grey wolf optimization (GWO), whale optimization algorithm (WOA), dragonfly algorithm (DA), and moth flame optimization (MFO). MFO provided the optimized global solution for the configured models. Results showed that head development-stage lettuce requires higher light intensity with lower visible to infrared radiation ratio (Vis/IR) than harvest-stage lettuce when exposed to light. On the other hand, harvest-stage lettuce requires higher light intensity with lower Vis/IR than head development-stage under dark-period respiration reaction. Findings of this study can be utilized in growing and improving yield crops in controlled-environment agriculture.
Growth and Yield of Watermelon (Citrullus lanatus) in Plastic House in Response to White LED Supplementary Lighting
Authors: Chamchum Wasinee , Glahan Somchai , Kramchote Somsak , Maniwara Phonkrit , Suwor Patcharaporn
Published: June 2023

Watermelon plants cultivar ‘Kinaree 457’ were grown in plastic house under natural daylight only (control) or with nightly LED supplementary lighting for 6 h (6:00 pm-12:00 pm) or 12 h (6:00 pm-6:00 am) starting from transplanting up to fruit harvest. Plant height, leaf chlorophyll content and fruit yield significantly increased in response to 6 h supplementary LED lighting. Fruit mass, size (length x width) and flesh thickness at 6 h LED treatment were about 2.3 kg, 19.3 ×15.7 cm, and 15.7 cm, respectively, while the fruit of control had 1.7 kg, 16.0 × 14.3 cm, and 13.8 cm, respectively. No significant treatment effect was obtained on peel thickness, flesh color L* and b* values, juice pH and total soluble solids. However, 6 h LED treatment resulted in lower reddening flesh (lower a* values), firmness and higher titratable acidity relative to the control, suggesting the need for improvement in cultural management. Furthermore, multivariate statistics of principal component analysis (PCA) performed on physico-chemical quality revealed the variations among watermelons from lighting and control treatments regardless of lighting hour.
Isolating Plasmodium sexual and asexual parasites from malaria infected individuals for single cell RNA sequencing v1
Authors: Kumar Dogga Sunil
Published: June 2023

This protocol isolates circulating sexual and asexual Plasmodium parasites from an infected individual's blood such that the resulting parasites are viable for single cell RNA sequencing, as well as bulk RNA sequencing and genome sequencing. The important features of the protocol include (i) preventing the activation of gametocytes by re-suspending the blood in Suspended Animation (SA) buffer, (ii) using MACS columns to concentrate capture of circulating gametocytes and late stages from blood, (iii) using Plasmodipur filters to eliminate human contamination from white blood cells, and (iv) performing selective erythrocyte lysis using Streptolysin O (SLO) to remove as many uninfected erythrocytes as possible and improve the percentage of infected erythrocytes for further analysis. We have successfully used this protocol on parasites captured from the blood of naturally infected carriers in Mali to generate single cell RNA sequencing data on both asexual and sexual parasites of P. falciparum, P. ovale and P. malariae using the 10X 3' protocol. Because both the asexual stage parasites and gametocytes of P. malariae and P. ovale spp. circulate in the peripheral blood, we recover asexual stages in both the MACS and non-MACS fractions for these two species. Human contamination from high quantity transcripts present in erythrocytes remains a problem as SLO is not always successful at removing the majority of uninfected erythrocytes. This contributes to a significant proportion of sequencing output, and decision to sequence at required depth should be taken upon inspection of the RBC-specific transcript peak (~700 nt) post-cDNA amplification QC. In our experience, when there is a significant RBC-specific peak, we recommend not proceeding with single cell RNA sequencing unless at least 3000 cells can be targeted for recovery.
Electroforesis de proteínas y Western blot DENV v1
Authors: Piedad Recalde-Reyes Delia
Published: June 2023

Una prueba tipo Western Blot (también conocida como inmunotransferencia) es una técnica utilizada para detectar proteínas específicas en una muestra. El procedimiento consiste en separar las proteínas de la muestra en función de su tamaño mediante la técnica de electroforesis para luego ser transferida a una membrana de polivinilo. La membrana se somete a una serie de pasos de bloqueo y lavado para eliminar las proteínas no específicas y prevenir la unión no específica de anticuerpos en la muestra. Se añade un primer anticuerpo específico que se unen a la proteína de interés y un anticuerpo secundario que se une al anticuerpo primario. Finalmente, se utiliza un sustrato químico que reacciona con el anticuerpo secundario para producir una señal visual que indica la presencia de la proteína de interés. La intensidad de la señal visual está relacionada con la cantidad de proteína presente en la muestra. Este protocolo fue desarrollado gracias al apoyo administrativo de la CUE Alexander von Humboldt de Armenia y desarrollado dentro de la convocatoria de Minciencia 917 de estancia en investigación: Desarrollo de una prueba tipo Western blot, Dot blot e Inmunofluorescencia para detección de antígenos virales de dengue serotipos 1 – 4.
PSYCHOLOGY OF CREATIVITY OF ALEXANDER FREDRO: TRANSFORMATION OF CREATIVE DISCOURSE, UKRAINIAN RECEPTION
Authors:   Maria Curie-Skłodowska University in Lublin, Nabytovych Ihor
Published: June 2023

The article studies reception of the work of Alexander Fredro, the comedy playwright in the Ukrainian Galician theater culture. the sources of his artistic development and, at the same time, the reasons that led to the completion of the publication of new works almost at the peak stage of his creative burning. Already in the first quarter of the 19th century, the dramaturgy of Alexander Fredro gradually turned Galicia into a center of Polish culture. The article ex- amines the peculiarities of the psychology of creativity, the transformation and creative development of the playwright: from children’s plays to juvenile obscene poetry during the Napoleonic Wars, and then to comedies. Fredro’s comedies are not a theater of characters, schematized and precisely outlined by the classicist cutter of stylistic devices. These figures go beyond the boundaries of schematism. Fredro moves away from presenting his characters as special human types, unambiguous in their weaknesses and passions. His char- acters are alive and complete – even in their pettiness, worthless passions and the neediness of their ideals and aspirations. All this makes them real. Together they create a great theater of the life of Galicia. S. Goszczyński really insisted: the cosmopolitanism of A. Fredro’s comedies can be seen from the fact that his heroes are not national characters: they are borrowed from French classical comedy and linguistically stylized according to French ease. He was the last prophet of Clas- sicism, who heralds the dawn of Romanticism, destroying the poetics of classicist comedy, laying bridges and paving new ways of development for comedy. The Ukrainian Galician theatre, which began to form somewhat later than the Polish theater in Galicia, was not interested in A. Fredro’s comedies. The most important reason for this is the huge gap between the mental and cultural spaces of the Poles and Ukrainians of Galicia. The world of Fredro’s comedies is often a timeless world of aristocratic courtyards and city residences, aristocratic families with their values, traditions and ideas of the noble people of the old Polish-Lithuanian Commonwealth.
DIFFICULTY OF DIAGNOSING METASTATIC BREAST CANCER IN A PATIENT AFTER MINIMALLY INVASIVE AORTIC VALVE REPLACEMENT: A CLINICAL CASE
Authors: Evtushenko Vladimir V. , Zhilina Alexandra N. , Saushkin Viktor V. , Evtushenko Alexey V.
Published: June 2023

Highlights

The article describes a clinical case of a patient with metastatic breast cancer detected after aortic valve replacement. The case was initially treated as sternal osteomyelitis due to ministernotomy performed during aortic valve surgery. However, the diagnosis of metastatic breast cancer with sternal and spinal (third thoracic vertebra) metastatses, and ribs lesion was established upon further study. Adjuvant endocrine therapy was prescribed to the patient due to her age and previous surgery.

 

Abstract

Breast cancer is an urgent problem in oncology as it remains the most frequent type of cancer in the Russian Federation and world wide. Long-term treatment success and survival of patients depend on selected treatment modality, and long-term postopertive monitoring of patients as the means of the early detection of metastatic recurrence. Furthermore, concominant somatic ilness could change or mask the symptoms of local recurrence or metastasis, resulting in difficulties with establishing the proper diagnosis. We report a clinical case of metastatic breast cancer in a patient with severe aortic stenosis who underwent aortic valve replacement. We have not found analogious cases in domestic and foreign literature.
LINGUISTIC AND COGNITIVE DISORDERS IN 4-6 YEARS OLD PATIENTS WITH CONGENITAL HEART DEFECTS BEFORE AND AFTER SURGICAL CORRECTION
Authors: Rumiantseva Aleksandra A. , Igisheva Lyudmila N. , Kameneva Veronika A.
Published: June 2023

Highlights

There are data about speech disorders in children with congenital heart defects. The results of the speech research in 4–6 years old children before and after surgery are described according to the surgical tactics.   

 

Aim. To compare linguistic and cognitive disorders in in 4–6 years old children with congenital heart defects before and after surgery.

Methods. A prospective investigation of group of children (n = 92) with septal heart defects was done before and after surgery and within decreed terms: in 1 and 2 years after the surgical correction of congenital heart defects in cardiopulmonary bypass or in cath-lab in Research Institute for Complex Issues of Cardiovascular Diseases. The anamnesis, clinical and hemodynamic aspects were studied before and after surgery, as well as early postoperative period, residual hemodynamic disorders and speech diagnostic was also done.

Results. 57% children had different speech disorders (general or delayed speech development) in preoperative period. It was made worse by cardiosurgery: the number of children with speech disorders increased to 63% in a year after surgery and was 59.8% in 2 years, while there was a positive dynamic in clinical and hemodynamic aspects.     

Conclusion. There are speech disorders in children with septal heart defects after surgery in long-term postoperative period despite of clinical and hemodynamic normalization. That can lead to the real risks and quality of life worsening in general in the absence of timely correction.
Clinical case of a 29 weeks pregnant patient with ST-segment elevation myocardial infarction
Authors: Serdechnaya Anastasia Y. , Sukmanova Irina A.
Published: June 2023

Highlights

This clinical case describes the management of a 29 weeks pregnant patient with myocardial infarction. The material will be useful for cardiologists, physicians, obstetricians and gynecologists, and endovascular surgeons.

 

 

Abstract

Unavoidable drastic changes in lifestyle due childbirth are pushing women to postpone it to an older age, thus increasing the risk of coronary artery disease (CAD) in pregnant women. This can be a problem not only for patients, but also for specialists. Currently there are 3-6 cases of acute coronary syndrome (ACS) per 100 thousand pregnancies, meaning such cases occur rarely in real clinical practice. Discomfort in the chest area does not directly indicate cardiac problem, so women do not visit cardiologist right away, and thus ACS remains undiagnosed. Besides traditional risk factors for CAD (age, dyslipidemia, smoking, physical inactivity), there are some additional obstetric factors: preeclampsia, thrombophilia and postpartum bleeding. About 40% of patients have myocardial infarction in the third trimester. Atherosclerosis is the most common cause of ACS, with coronary artery spasms, coronary artery dissection and thrombosis following behind. Currently the maternal mortality due to MI has decreased from 20% to 5% due to introduction of the percutaneous coronary intervention (PCI) into the treatment of ACS. There are not enough data on the use of thrombolytics and other medicine in the treatment of CAD, because pharmacological therapy can be dangerous in the early pregnancy at the peak of organogenesis. Moreover, PCI should be used with caution due to harmful effects of radiation on the pregnant woman and the fetus. The main task in later stages of pregnancy is to balance out the risk of stent thrombosis upon discontinuing double antiplatelet therapy and bleeding during childbirth and in the postpartum period. This article describes a clinical case of a 29 weeks pregnant patient with myocardial infarction.
ANATOMICAL FEATURES OF THE CARDIAC VENOUS SYSTEM, SIGNIFICANT FOR THE LEFT VENTRICULAR LEAD PLACEMENT: LITERATURE REVIEW AND EXPERIENCE
Authors: Dubrovin Oleg L. , Mamchur Sergey E. , Shugaev Pavel L.
Published: June 2023

Highlights

The article is a comprehensive literature review on anatomical variations and anomalies of cardiac veins. A classification of coronary venous anatomy and anomalies detailing clinical, anatomical and radiological features is proposed. Developing such classification is important for the field of left ventricular lead placement, as it would cover a variety of clinically significant anomalies of cardiac veins.

 

Abstract

With the advancements in the cardiac resynchronization therapy, the role of cardiac vein anatomy has become vital due to the complications associated with poor left ventricle lead placement. The cardiac vein anatomy varies much more than the anatomy of the coronary arteries, thus making cardiac veins much harder to study. In this article we have analyzed different approaches to description and naming of cardiac veins, and have summarized venous anomalies and features described in literature or encountered in real clinical practice. All anatomical features described in the article have a clinical significance in the left ventricle lead placement. Moreover, we have analyzed the wide variety of suggestions to overcoming anatomical obstacles. As a result of the analysis, we have proposed a clinical classification of the coronary venous anomalies and features that can be used during the implantation of cardiac resynchronization therapy devices.
Intención de compra y confianza del consumidor en las empresas de venta-online del sector moda de Ecuador y Perú
Authors: Margalina Vasilica Maria , Jiménez Sánchez Álvaro , Alberto Magno Cutipa Limachi
Published: June 2023

El mercado electrónico latinoamericano se enfrenta a numerosos riesgos, entre ellos, la confianza del consumidor. Esta investigación analiza cuánto influye esta confianza (interpersonal, institucional y hacia el vendedor) en la frecuencia e intención de compra dentro del comercio online del sector moda de Ecuador y Perú. Para ello, se suministró un cuestionario a un total de 491 estudiantes. Los resultados demuestran que la confianza interpersonal no afecta ni a la frecuencia ni a la intención de compra, pero sí incide la confianza en el vendedor en ambos aspectos. Sin embargo, la confianza institucional no influiría en la frecuencia de compra, pero sí en la intención de comprar. Además, ni el género ni la nacionalidad actuarían como variables moderadoras. Se concluye que las empresas de este sector deberían centrarse y reconducir sus estrategias de marketing para mejorar la confianza de sus consumidores.
Investigation of Multidimensional Scale Transformation Methods Applied to Multidimensional Tests According to Various Conditions
Authors: ZOR Yaşar Mehmet
Published: June 2023

The purpose of this study was to compare the equating errors of item and ability parameters obtained by performing scale transformation methods to two multidimensional test forms under various conditions. Sample size (1000-2000), common item ratio (20% and 40%), correlation between dimensions (0.1-0.5-0.9) and parameter estimation model (2PLM-3PLM) were taken as research conditions. Equating error (RMSE) was used to examine the accuracy of the scale transformation results. It was observed that the RMSE value generally decreased as the sample size and common item ratio increased and the correlation between dimensions decreased. Higher equating errors were obtained when the mean-sigma method was used. In the estimation of the discrimination parameter, lower RMSE values were obtained in 2PLM for all methods. In the estimation of difficulty and ability parameters, lower RMSE values were obtained in 2PLM for Stocking-Lord method and in 3PLM for mean-mean and mean-sigma methods.
Açık artırmalı satışlarda talep analiz yaklaşımlarının karşılaştırılması ve pazarlama yönetimi: Çerkeş Orman İşletmesi Örneği
Authors: OK Kenan , KAYA Güven
Published: June 2023

Çalışmanın araştırma alanı Çerkeş Orman İşletmesidir. Araştırmada 2017 Mayıs ve 2018 Haziran arasında yapılmış 13 ayrı açık artırmalı satışta yer almış Sarıçam, Karaçam ve Göknar 3. Sınıf normal boy (3SNB) tomruk talebi incelenmiştir. Araştırmanın ana amacı aynı satışlardan üretilmiş veri setleri kullanarak toplam satış hacmi ve toplam teklif düzeyleri şeklinde tanımlanmış iki ayrı yaklaşımla, incelenen ürünlerin ayrı ayrı talep fonksiyonlarını hesaplamak, elde edilen fonksiyonların iktisadi ve istatistik açıklayıcılıklarını karşılaştırmaktır. Çalışmada uygun fonksiyonların, pazarlama programlarının geliştirilmesinde kullanım olanaklarını tartışmak ikincil bir hedef olarak ele alınmıştır. Araştırmada çoklu korelasyon ve regresyon analizlerinden yararlanılmıştır. Sonuç olarak, toplam teklif düzeyleri yaklaşımıyla üretilen verilere dayalı çoklu korelasyon ve regresyon analizlerinin, Sarıçam, Karaçam ve Göknar 3SNB tomruk talep denklemlerini istatistik açıdan güven düzeyi daha yüksek bir şekilde üretebildiği, denklemlerin iktisadi ilişkileri daha doğru yansıtabildiği saptanmıştır. Elde edilen talep denklemlerine dayanarak hesaplanan pozitif çapraz esneklik değerleri, Çerkeş OİM’nin Karaçam ve Sarıçam ile Göknar ve Sarıçam 3SNB tomrukları arasında “ikame mal” ilişkisi olduğunu, bulunan negatif çapraz esnekliklerden ise Göknar ve Karaçam 3SNB tomrukları arasında “tamamlayıcı mal” ilişkisi bulunduğunu ortaya çıkarmıştır.
Differences In The Financial Performance Of Transportation Companies On The Indonesia Stock Exchange During The Covid-19 Pandemic
Authors: Widowati Dania , Nugroho Hendrato
Published: June 2023

The occurrence of the Covid-19 pandemic in Indonesia requires the Government to implement new policies in order to prevent transmission by imposing Large-Scale Social Restrictions (PSBB). The decline in community mobility results in fewer customers who will use the services of transportation companies. This case certainly has an impact on the revenues and profits of transportation companies. Under these conditions, the financial position as a performance description is very important to evaluate and measure the company's financial efficiency. This study aims to determine differences in the ratios of liquidity, solvency, and profitability of transportation companies on the Indonesia Stock Exchange before and during the Covid-19 pandemic. The sample used in this study is a transportation company that is listed on the Indonesia Stock Exchange and publishes financial statements consecutively for the 2018-2021 period, totaling 10 companies. This study uses secondary data obtained from sources www.idx.co.id and the company's official website, sampling is done by purposive sampling. The stages of analyzing the data used descriptive statistical tests, basic assumption tests, and different tests. The results of this study indicate that there are significant differences in the ratio of return on assets before and during the Covid-19 pandemic, but there are no significant differences in the current ratio, debt to asset ratio, net profit margin before and during the Covid-19 pandemic.
Students’ Strategies and Challenges to Understand Materials in Asynchronous Learning
Authors: Kurniawati Dewi , Mardiningrum Arifah
Published: June 2023

Pandemic in Indonesia makes people in the education environment have to do learning from home, and students must do online learning. Asynchronous learning is one of the learning methods used in education as learning from home. This study aims to know the students' strategies and challenges in implementing the strategies in understanding the material in asynchronous learning. This study uses a descriptive qualitative design. To collect the data using an interview with six participants from the English Language Education Department at one of the private universities in Yogyakarta. The researcher found nine strategies used by students: reading the material, looking for additional material, making a note, watching the video, learning independently, studying together, translating the material, asking the friend and the teacher, and boosting the mood. There are five challenges that students face when implementing the strategies, namely, exhaustion, difficulty in comprehension, lack of confidence, absence of help, and mood swing.
Potency Of Andrographolide, L-Mimosine And Asiaticoside Compound As Antiviral For Covid-19 Based On In Silico Method
Authors: Ningrum Dhecella , Aini Dita , Juniananda Melisa , Febriansah Rifki
Published: June 2023

Introduction - COVID-19 is an infectious disease that is a global challenge, making it necessary for innovation and the development of antiviral agents in prevention and treatment efforts. Indonesia is known as a country rich in potential plants as medicine, a potential antiviral plant among them Andrographis paniculata , Mimosa pudica and Centella asiatica. The compound that have antiviral activity in each of these plants are andrographolide (Andrographis paniculata), L-mimosine (Mimosa pudica) and asiaticoside (Centella asiatica). The purpose of this study is to identify the potential of the andrographolide, l-mimosine and asiaticoside to inhibit SARS COV-2 protein and to predict the molecular drug profile which refers to lipinski's rule of 5.

Purpose - The purpose of this study was to determine the potential of Andrographis paniculata , Mimosa pudica and Centella asiatica compounds in inhibiting the SARS CoV-2 protein and to determine the prediction of drug profiles such as molecules referring to Lipinski's rule of 5.

Methodology - The methods used in this research by molecular docking and lipinski's Ro5 using PKCSM. The control compounds used are favipiravir and remdesivir.

Results - The results of the affinity of target protein bonds using molecular docking obtained the best results in NSP3 proteins with An Asiaticoside docking score of -10.1 kcal / mol stronger than favipiravir -5.3 kcal/mol and remdesivir -8.6 kcal/mol. As for the compounds L-mimosine -6.1 kcal / mol and Andrographolide -7.7 kcal / mol. The compounds of andrographolide and L-mimosine showed good results and met the 5 aspects of Lipinski's Ro5, but asiaticoside compounds did not good enough. .

Conclusion - The Research has concluded that the compound of the Andrographis paniculata , Mimosa pudica and Centella asiatica have a good potential in inhibiting SARS cov2 protein that is stronger than favipiravir and almost the same with remdesivir activity.
Investigation of Moringa Leaf Compounds as Colon Anticancer Agents Using Bioinformatics and Molecular Docking Methods
Authors: Saputri Dwi , Kusumaningtyas Triana , Setiadi Prismo , Febriansah Rifki
Published: June 2023

Introduction - Colon cancer is a disease that has a high mortality rate. Cancer treatments such as chemotherapy can cause severe side effects. So, it is necessary to do research on herbal plants to minimize these side effects. The bioactive compounds in Moringa leaves (Moringa oleifera L.) are known to have antioxidant and anticancer activity, so they have the potential to be used as cancer treatment. Purpose – . This study aims to determine the potential of Moringa leaves as an anticancer agent in silico.

Methodology/Approach – The in silico test used is STITCH-STRING bioinformatics and molecular docking. STITCH-STRING bioinformatics was used to determine the target protein of the test compound, and molecular docking was used to determine the binding affinity between the test compound and cancer protein. Findings – In the STITCH-STRING bioinformatics test, the potential targets for kaempferol and quercetin were TP53-ESR1 and STAT3-EGFR, respectively.test Molecular docking on cancer protein showed that quercetin compound in EGFR protein had the best binding with a docking score of -9.2 kcal/mol. This shows good results because the docking score obtained is lower than the comparison drug (Fluorouracil) which has a docking score of -4.2 kcal/mol. These results indicate that compounds in Moringa leaves (Moringa oleifera L.) have the potential to be used as anticancer agents. Originality/ Value/ Implication – Moringa leaf research using bioinformatics and molecular docking methods is still rarely done, so this research can be used as further knowledge related to the search for moringa leaf compounds that have the potential for anticancer using bioinformatics and molecular docking methods
A randomized controlled trial to compare ramipril and sacubitril/valsartan in post-acute coronary syndrome patients with left ventricular systolic dysfunction in terms of improvement in ejection fraction
Authors: Sharma Gaurav , Sood Atal , Kansal Dinesh , Kumar Mukul , Sharma Ambudhar , Sawaraj Sushma
Published: June 2023

Background: Ramipril and sacubitril/valsartan are used in the management of ACS patients with left ventricle systolic dysfunction. The objective of the study was to compare ramipril and sacubitril/valsartan in improving LVEF in post ACS patients with LVEF <40%.
Methods: A randomized, prospective, open label, comparative study was carried out in department of pharmacology and cardiology at Dr. R. P. G. M. C. Kangra at Tanda, Himachal Pradesh. The study was carried for a period of one and a half year. Out of 80 patients, 38 patients were in ramipril group and 42 were in sacubitril/valsartan group. Data was presented as mean±SD, frequency and percentage. Student’s t test and chi square test were used and p value<0.05 was considered significant.
Results: In both the groups, a statistically significant improvement was observed in terms of improvement in LVEF at 6th month when compared to baseline, however, at 6th month both the groups were comparable in terms of LVEF improvement with p value of 0.275.
Conclusions: The study concluded that both the drugs have same efficacy in improving LVEF in post ACS patients at 6th month.
Acute hemorrhagic encephalitis in pediatric patient: a case report
Authors: Gavhane Rushikesh , Jain Abhishek , Pawar Shilpa , Joshi Trupti , Khaire Prabha
Published: June 2023

Acute hemorrhagic encephalomyelitis (AHEM) is considered a rare presentation of acute disseminated encephalomyelitis (ADEM) and is challenging to manage. ADEM is a rare illness with an incidence of 0.2–0.4 per 100,000 children annually. Here we discuss a case report of a 3-year-old patient who presented with the clinical features of ADEM. On neuroimaging patient had a rare form of ADEM as hemorrhagic encephalitis. AHEM incidence is very low in the pediatric age group with poor prognosis. With the use of immunosuppressants and immunoglobulin, the survival of the patient was possible.