bluuebunny/crossref_metadata_2025 huggingface dataset:
Discovery of Novel Small Molecule HDAC1, 2, 3 Inhibitors -- Combined Receptor-Based and Ligand-Based Virtual Screening Strategy
Authors: Wu Yi , Zhang Bo , Dong Xiaowu , Ma Shenglin , Hu Shengquan
Published: December 2021

Aims:

This study aims to investigate and validate the potential drug target to HDAC1.

Background:

Human histone deacetylase 1 (HDAC1) can catalyze the deacetylation of histones belonging to the family of human histone deacetylases (HDACs). Amide hydrolase HDAC1 plays a key role in the development of many serious cancers such as prostate cancer, gastric cancer, lung cancer, esophageal cancer, colon cancer, and breast cancer. Therefore, HDAC1 inhibitors, promoting the transcription of a series of key genes such as the p53 gene and inhibiting the development of cancer through various downstream mechanisms, have great potential for the treatment of cancer.

Objective:

The objective of this study is to discover new skeleton HDAC1 inhibitors efficiently and conveniently with therapeutic potential for cancer.

Method:

Based on the crystal structure of HDAC1, through the combination of receptor-based and ligand- based virtual screening from the commercial compound library, the top-ranked compounds are selected for purchase through binding modes analysis, and their activities were verified through in vitro HDAC1 inhibitory biological experiments.

Results:

Based on LeDock, 5ICN showed good distinguishing ability and was used as the receptor. According to the results of the LeDock docking scoring from receptor-based virtual screening, 69 compounds with binding energy less than -7.5 kcal/mol were obtained and used for ligand-based virtual screening. A total of 21 novel compounds with high potential HDAC1 inhibitory activity were collected by combining the similarity searching (NN) and the multinomial Naive Bayes machine learning model (NB) methods. Through binding modes analysis, 10 compounds with different structures with potential HDAC1 inhibitory activity were selected and screened HDAC1 inhibitory in vitro. May267 showed moderate HDAC1 inhibitory activity, and the inhibition rate was 48% at a concentration of 20 μM.

Conclusion:

This study discovers novel small molecule HDAC1 inhibitors by combined receptor-based and ligand-based virtual screening strategy, which provides an efficient method for the discovery of other small molecule drugs. May267 shows moderate HDAC1 inhibitory activity, which can be further optimized as a lead compound. However, it still has the problem of poor kinase selectivity to be solved.
Synthesis and Evaluation of Bis-Schiff Bases of Carbohydrazide as Antioxidant and Cytotoxic Agents
Authors: Iqbal Sarosh , Kiran Shumaila , Perveen Shahida , Malik Rizwana , Taha Muhammad , Khan Khalid Mohammed , Perveen Shahnaz , Choudhary M. Iqbal
Published: December 2021

Introduction:

Antioxidants are known to prevent oxidative stress-induced damage to the
biomolecules and thus, delay the onset of cancers and many age-related diseases. Therefore, the development
of novel and potent antioxidants is justified.

Method:

During this study, we synthesized symmetrical Bis-Schiff bases of carbohydrazide 1-27,
and evaluated their in vitro antioxidative activity and cytotoxic activity.

Results:

Among synthesized compounds, six compounds 20 (IC50 = 12.89 ± 0.02 μM), 16 (IC50 =
14.32 ± 0.43 μM), 17 (IC50 = 18.52 ± 0.83 μM), 19 (IC50 = 22.84 ± 0.62 μM), 24 (IC50 = 35.1 ± 0.82
μM) and 15 (IC50 = 40.03 ± 1.06 μM) showed an excellent 2,2-diphenyl-1-picrylhydrazyl (DPPH)
radical scavenging activity, better than the standard butylatedhydroxyanisole (BHA) (IC50 = 44.6 ±
0.6 μM). Likewise, two compounds 16 (IC50 = 4.3 ± 1.3 μM) and 20 (IC50 = 6.6 ± 1.6 μM) showed
oxidative burst scavenging activity better than the standard drug ibuprofen (IC50 = 11.2 ± 1.9 μM).
Some synthesized compounds showed good to moderate toxicity against prostate cancer (PC-3) cell
lines.

Conclusion:

This study has identified potent antioxidants and good cytotoxic agents with the potential
to further investigate.
Mannich Bases: Centrality in Cytotoxic Drug Design
Authors: Bhilare Neha V. , Marulkar Vinayak S. , Shirote Pramodkumar J. , Dombe Shailaja A. , Pise Vilas J. , Salve Pallavi L. , Biradar Shantakumar M. , Yadav Vishal D. , Jadhav Prakash D. , Bodhe Anjali A. , Borkar Smita P. , Ghadge Prachi M. , Shelar Pournima A. , Jadhav Apurva V. , Godse Kirti C.
Published: December 2021

:

Mannich bases identified by Professor Carl Mannich have been the most extensively explored
scaffolds for more than 100 years now. The versatile biological roles that they play have promoted
their applications in many clinical conditions. The present review highlights the application of
Mannich bases as cytotoxic agents, categorizing them into synthetic, semisynthetic, and prodrugs
classes, and gives an exhaustive account of the work reported in the last two decades. The methods
of synthesis of these cytotoxic agents, their anti-cancer potential in various cell lines, and promising
leads for future drug development have also been discussed. Structure-activity relationships, along
with the targets on which these cytotoxic Mannich bases act, have been included as well.
TP-MV: Therapeutic Peptides Prediction by Multi-view Learning
Authors: Yan Ke , Lv Hongwu , Wen Jie , Guo Yichen , Liu Bin
Published: December 2021

Background:

Therapeutic peptide prediction is critical for drug development and therapy. Researchers have been studying this essential task, developing several computational methods to identify different therapeutic peptide types.

Objective:

Most predictors are the specific methods for certain peptides. Currently, developing methods to predict the presence of multiple peptides remains a challenging problem. Moreover, it is still challenging to combine different features to make the therapeutic prediction.

Method:

In this paper, we proposed a new ensemble method TP-MV for general therapeutic peptide recognition. TP-MV is developed using the stacking framework in conjunction with the KNN, SVM, ET, RF, and XGB. Then TP-MV constructs a multi-view learning model as meta-classifiers to extract the discriminative feature for different peptides.

Results:

In the experiment, the proposed method outperforms the other existing methods on the benchmark datasets, indicating that the proposed method has the ability to predict multiple therapeutic peptides simultaneously.

Conclusion:

The TP-MV is a useful tool for predicting therapeutic peptides.
Plasma Concentration Profiles for Hepatotoxic Pyrrolizidine Alkaloid Senkirkine in Humans Extrapolated from Rat Data Sets Using a Simplified Physiologically Based Pharmacokinetic Model
Authors: Yamazaki Hiroshi , Kamiya Yusuke , Miura Tomonori , Kato Airi , Murayama Norie , Shimizu Makiko
Published: December 2021

Aim:

The main aim of the current study was to obtain forward dosimetry assessments of pyrrolizidine alkaloid senkirkine plasma and liver concentrations by setting up a human physiologically based pharmacokinetic (PBPK) model based on the limited information available.

Background:

The risks associated with plant-derived pyrrolizidine alkaloids as natural toxins have been assessed.

Objective:

The pyrrolizidine alkaloid senkirkine was investigated because it was analyzed in a European transcriptomics study of natural hepatotoxins and in a study of the alkaloidal constituents of traditional Japanese food plants Petasites japonicus. The in silico human plasma and liver concentrations of senkirkine were modeled using doses reported for acute-term toxicity in humans.

Methods:

Using a simplified PBPK model established using rat pharmacokinetic data, forward dosimetry was conducted. Since in vitro rat and human intrinsic hepatic clearances were similar; an allometric scaling approach was applied to rat parameters to create a human PBPK model.

Results:

After oral administration of 1.0 mg/kg in rats in vivo, water-soluble senkirkine was absorbed and cleared from plasma to two orders of magnitude below the maximum concentration in 8 h. Human in silico senkirkine plasma concentration curves were generated after virtual daily oral administrations of 3.0 mg/kg senkirkine (the dose involved in an acute fatal hepatotoxicity case). A high concentration of senkirkine in the culture medium caused in vitro hepatotoxicity as evidenced by lactate dehydrogenase leakage from human hepatocyte-like HepaRG cells.

Conclusion:

Higher virtual concentrations of senkirkine in human liver and plasma than those in rat plasma were estimated using the current rat and human PBPK models. Current simulations suggest that if P. japonicus (a water-soluble pyrrolizidine alkaloid-producing plant) is ingested daily as food, hepatotoxic senkirkine could be continuously present in human plasma and liver.
A Narrative Review on Dialectical Behavior Therapy for Patients
with Depressive Difficulties
Authors: Saini Aryendu Kumar , Wal Pranay , Wal Ankita , Pal Rashmi Saxena , Verma Om Prakash
Published: December 2021

Background:

Dialectical behavior therapy (DBT) is a type of cognitive
behavioral therapy (CBT) that was earlier intended to treat only patients
with borderline personality disorder (BPD), but researchers have found DBT to
treat several psychological disorders, including depression.

Aim:

The article aims to review the clinical shreds of evidence regarding the use
of DBT to treat depression.

Methods:

PubMed literature search was done by applying the year filter range,
2010 to 2021. Another filter applied was “Randomized controlled trial”, so that
the strength of evidence could be enhanced. The keywords used were “Dialectical
Behavior Therapy” AND “Depression”.

Results:

33 articles were found, out of which only 20 relevant articles were reviewed.
DBT was found to alleviate depressive symptoms associated with different
psychological disorders like bipolar disorder and BPD but the number of
studies that validated the aforementioned were less than those studies which
showed that DBT had no significant effect on the patients with depressive difficulties.
The long-term effect of DBT for treating depression is under suspect, as
studies showed that DBT got ineffective during the follow-ups.

Conclusion:

DBT shows benefits in depression, but further studies are still required
to validate this concretely as DBT did not show a significant effect when
compared to its control counterparts. There is much need for future studies which
can evaluate the long-term efficacy of DBT in depression, which is another challenging
area because follow-up data did not favor DBT.
Effect of Anger Management Education on Aggression in Bipolar
Disorder Hospitalized Patients: A Pilot Study
Authors: Sadeghian Efat , Rezai Hossein , Shamsaei Farshid , Ghafari Mohammad Ebrahim
Published: December 2021

Background:

Aggression is one of the symptoms of bipolar disorder.
This expression can be associated with negative personal and social effects.

Objective:

This study aimed to determine the effect of anger management education
on aggression in bipolar disorder.

Method:

This semi-experimental study with a repeated measures design was
conducted in Hamadan, Iran, 2018. Fifty-two bipolar type-1 disorder patients
were randomly selected from the Psychiatric Ward of Farshian Hospital through
the convenience sampling method. The anger management education intervention
included four sessions. Also, the State-Trait Anger Expression Inventory-2
(STAXI-2) was completed by the subjects before, immediately, and two weeks
after the educational intervention. Data analysis was performed in SPSS16, using
Mauchly’s sphericity test and the least significant difference.

Results:

The mean aggression score was 61.38±11.59 before the intervention,
which reduced to 27.18±8.61 and 18.86±6.45 immediately and two weeks after
the intervention, respectively. The repeated measures test showed that the decreasing
trend of scores was statistically significant (P<0.001). Moreover, pairwise
comparison of study stages demonstrated a significant difference between
the first and second stages (P<0.001) and the second and third stages (P<0.001).

Conclusion:

Anger management education reduced the level of aggression in
bipolar type-1 disorder. Therefore, it can be incorporated into nursing care programs.

Clinical Trial Registration number:

The study is registered in Iranian Registry
of Clinical Trials (IRCT2017052133378N2).
Cointegration Modelling for Health and Condition Monitoring of Wind Turbines - An Overview
Authors: Dao P.B.
Published: December 2021

Abstract. The cointegration method has recently attracted a growing interest from scientists and engineers as a promising tool for the development of wind turbine condition monitoring systems. This paper presents a short review of cointegration-based techniques developed for condition monitoring and fault detection of wind turbines. In all reported applications, cointegration residuals are used in control charts for condition monitoring and early failure detection. This is known as the residual-based control chart approach. Vibration signals and SCADA data are typically used with cointegration in these applications. This is due to the fact that vibration-based condition monitoring is one of the most common and effective techniques (used for wind turbines); and the use of SCADA data for condition monitoring and fault detection of wind turbines has become more and more popular in recent years.
On the Coriolis Effect for Internal Ocean Waves
Authors: Ivanov R.
Published: December 2021

Abstract. A derivation of the Ostrovsky equation for internal waves with methods of the Hamiltonian water wave dynamics is presented. The internal wave formed at a pycnocline or thermocline in the ocean is influenced by the Coriolis force of the Earth's rotation. The Ostrovsky equation arises in the long waves and small amplitude approximation and for certain geophysical scales of the physical variables.
Machine Learning for Wind Turbine Fault Prediction through the Combination of Datasets from Same Type Turbines
Authors: Bosch C.
Published: December 2021

Abstract. Early fault detection in wind turbines is key to reduce both costs and uncertainty in the generation of energy and operation of these structures. The isolation of many wind farms, especially those offshore, makes scheduled maintenance very costly and on many occasions inefficient. In addition, the downtime of these structures is typically long and a predictive solution is much needed to 1) help prepare for the maintenance procedure beforehand, for instance to avoid delays when waiting for the required resources and components for maintenance to be available and, 2) avoid the possibility of more destructive system failures. Predicting failures in such complex systems requires modeling of multiple components in isolation and as a whole. Physics-based and data-based models are used for this purpose, which have been proven useful in this regard. Specifically, Machine Learning algorithms are proven to be a valuable resource in a wide range of problems in this industry, however a solution capable of accurately predicting the range of faults of a particular type of wind turbine is still a challenge. In this paper, we will introduce the capabilities of machine learning for wind turbine fault prediction, as well as a technique to predict different types of faults. We will compare the performance of two well established machine learning algorithms (namely K-Nearest Neighbour and Random Forest classifiers) on real wind turbine data which have produced great levels of prediction accuracy. We also propose data augmentation methods to help enhance the training of ML models when wind turbine data is scarce by merging data from turbines of the same type.
Leadership in the quality public service improvement
Authors: Eljawati Eljawati , Tefa Gradiana , Susilawati Susilawati , Suwanda Siti Nuraisyah , Suwanda Dadang
Published: December 2021

Public service is the implementation of government tasks directly to meet the needs and interests of the community. But what is happening today is the emergence of the phenomenon of government in carrying out public service activities that are often interpreted in different connotations by the public. Therefore, it is considered necessary to improve the quality of public services in accordance needs of the community. This is certainly strongly influenced by good leadership for the improvement of the implementation of public services as an urgent need for the improvement of public services to the community. The purpose of this study is to find out the interconnectedness of local leadership relationships in the implementation of public services so that there is an improvement in the quality of public services. This research uses quantitative methods with a descriptive approach with data collection techniques in this study consisting of observation, questionnaire, and literature studies (library research). Determination of research samples through multistage random sampling methods and formulating them into the Slovin formula. The results showed the amount of quality of public services. The field of cleanliness handling cleanliness is 4050 or 67.50% with a fairly good predicate.
Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial (Preprint)
Authors: White Katie M , Matcham Faith , Leightley Daniel , Carr Ewan , Conde Pauline , Dawe-Lane Erin , Ranjan Yatharth , Simblett Sara , Henderson Claire , Hotopf Matthew
Published: December 2021

BACKGROUND

Multi-parametric remote measurement technologies (RMTs) comprise smartphone apps and wearable devices for both active and passive symptom tracking. They hold potential for understanding current depression status and predicting future depression status. However, the promise of using RMTs for relapse prediction is heavily dependent on user engagement, which is defined as both a behavioral and experiential construct. A better understanding of how to promote engagement in RMT research through various in-app components will aid in providing scalable solutions for future remote research, higher quality results, and applications for implementation in clinical practice.

OBJECTIVE

The aim of this study is to provide the rationale and protocol for a 2-armed randomized controlled trial to investigate the effect of insightful notifications, progress visualization, and researcher contact details on behavioral and experiential engagement with a multi-parametric mobile health data collection platform, Remote Assessment of Disease and Relapse (RADAR)–base.

METHODS

We aim to recruit 140 participants upon completion of their participation in the RADAR Major Depressive Disorder study in the London site. Data will be collected using 3 weekly tasks through an active smartphone app, a passive (background) data collection app, and a Fitbit device. Participants will be randomly allocated at a 1:1 ratio to receive either an adapted version of the active app that incorporates insightful notifications, progress visualization, and access to researcher contact details or the active app as usual. Statistical tests will be used to assess the hypotheses that participants using the adapted app will complete a higher percentage of weekly tasks (behavioral engagement: primary outcome) and score higher on self-awareness measures (experiential engagement).

RESULTS

Recruitment commenced in April 2021. Data collection was completed in September 2021. The results of this study will be communicated via publication in 2022.

CONCLUSIONS

This study aims to understand how best to promote engagement with RMTs in depression research. The findings will help determine the most effective techniques for implementation in both future rounds of the RADAR Major Depressive Disorder study and, in the long term, clinical practice.

CLINICALTRIAL

ClinicalTrials.gov NCT04972474; http://clinicaltrials.gov/ct2/show/NCT04972474

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/32653
Role of neoadjuvant therapy(chemotherapy and/or radiotherapy) in lymph node and primary rectal tumor
regression and prognosis (Preprint)
Authors: Kashkoulibehroozi Mahshid , Haghighi Shirin Tahereh , Mohsenifar Zhale
Published: December 2021

UNSTRUCTURED

Background: Rectal tumors are important malignancies and prediction of prognosis after neoadjuvant therapy is important to improve the prognosis process. The purpose of this study was to determine therole ofneoadjuvant therapy in lymph node regression and primary rectal tumor as well as its association with prognosis.
Methods and materials: In this descriptive study, 40 consecutive patients with rectal tumor who were referred toTaleghani Hospital for surgery from 2011 to 2018 were enrolled. Moreover, theneoadjuvant therapy role in lymph node regression and primary rectal tumor was determined as well as its association with prognosis.
Results: The results of this study demonstrate that there was no tumor regression in 20% of patients and it wasalso less than 25%, 25-50%, 50-75%, and complete in 22.5%, 35%, 20%, and 2.5% of the patients,respectively. The lymph node regression was complete in 5% of the patients and it wasalso less than 25% in 20% and more than 25% in 50% of them. In addition, it was with no regression in 25% of the patients. The lymph node regression was related to N stage (P=0.018), primary tumor regression grade (P=0.001), yPT (P=0.008), and yPN (P=0.020); however, it was not related to prognosis (P > 0.05).
Conclusions: Totally, according to the obtained results, it can be concluded thatneoadjuvant therapy plays a good role in lymph node regression and primary rectal tumor, but it has no association with prognosis.
Keywords:Neoadjuvant therapy, Lymph node regression, Primary rectal tumor, Prognosis
Tax Incentives Policy, Firm Investment, Firm exports, and Gross Output: Panel Econometric Modelling
Authors: Mutuku Cyrus , Sirengo Joseph , Omar Dr. Mohamed
Published: December 2021

A panel econometric model consisting of 118,380 firms, spanning 2014 to 2019 was used to determine the impact of tax incentive policy on firm investment, firm gross output, and exports. A two-stage modelling approach was used, first the decision to invest or export was modelled using a binary logit model. In the second phase, the impact of the tax incentives policy was estimated. The decisions to export and invest are marginally driven by tax incentive policy. A shilling given as tax expenditure increases the probability of investing and exporting by 0.018% and 0.48% respectively. The results from the study imply that export and investment-related tax incentives are either redundant or have a negligible impact on their respective target variables.
Pengaruh Penerapan Pembelajaran Blended Learning terhadap Hasil Belajar Siswa
Authors: Hendra Zulma , Yunita Alfi , Mardiyah Ainil
Published: December 2021

ABSTRACT This study aims to determine the effect of the application of blended learning on the learning outcomes of class X MIA students at SMA PGRI 2 Padang. This study used a pre-experimental design in the form of a One-Shot Case Study by taking research subjects by Purposive Sampling. The sample of this research was the students of class X MIA. This study used descriptive questions as a final test instrument. The data analysis technique used in this research was a t-test. Based on the data collection techniques and data analysis carried out, it was obtained that tcount = 1.81 and ttable = 1.68, because tcount > ttable, then reject H0 at a significant level of 0.05 so it can be concluded that there is an effect of applying blended learning on studensts’ learning outcomes of class X MIA at SMA PGRI 2 Padang. Keywords: Blended Learning, Learning Outcomes
Peranan Guru Sejarah dalam Pemahaman Wawasan Kebangsaan pada Siswa Kelas XI IPS 1 SMA Negeri 12 Sijunjung
Authors: Klismen Juli Adek , Kaksim Kaksim , Meldawati Meldawati
Published: December 2021

Instilling national values in schools is one of the efforts to shape student into citizens with character, because education can prepare the youger generation to play a role in the life of the nation in the future. However, in reality, students are still found in schools who do not understand ther country and nation. Thmselves and lack discipline. Phenomena that occur in schools, are still found by students who are late for the ceremony. National insight becomes important to be delevoped, because the sense of nationality as a manifestation of a sense of love for the homeland, in turn raises our awareness of the value and value of a sense of unity and nationality. So the conclusion that the researcher can convey  is that the role of the history teache understanding national insightis very important and the history teacher can explain to students in clas XI IPS 1, and the role of the teacher is clearly visible after the researcher conducted interviews with students with a lot of knowledge about it, so the final conclusion that researchers got was that the role of history teachers was important in understanding national insight
Students'Barrier in English Online Learning Process During COVID-19 Pandemic
Authors: Dimas Darmasrura Dimas , Suharni Suharni , Afriyanti Rika
Published: December 2021

ABSTRAKPenelitian ini dilatar belakangi oleh situasi dan kondisi belajar di saat pandemic COVID-19 ini yang dilakukan secara online. Pembelajaran online ini merupakan hal yang baru dirasakan oleh siswa, karena guru dan siswa menggunakan fasilitas internet dan juga aplikasi, sehingga selama belajar online siswa bisa mengalami hambatan. Proses belajar mengajar online ini dapat dilakukan dimanapun dan kapanpun. Penelitian ini bertujuan untuk mendeskripsikan hambatan yang dihadapi oleh siswa dalam proses belajar mengajar bahasa inggris online selama pandemic COVID-19 khususnya siswa SMA N 8 Solok Selatan. Teknik pengambilan data yang digunakan dalam peneilitian ini adalah teknik total sampling yaitu seluruh kelas X dan XI IPA dan IPS yang berjumlah 35 orang yang dipilih sebagai partisipan dalam penelitian ini. Hasil dari penelitian ini menemukan bahwa siswa mengalami beberapa hambatan dalam proses belajar mengajar bahasa Inggris yaitu: administrative/instructor issue, social interaction, academic skills, technical skills, learner motivation, time/support for studies, cost and access to the internet and technical problem.Kata kunci : Belajar Online, Hambatan Siswa Dalam Belajar Online
Perancangan Sistem Informasi Penjualan Motor Bekas Berbasis Web pada Zidan Jaya Motor
Authors: Kurniawan Rila , Mulyono Heri , Irsyadunas Irsyadunas
Published: December 2021

Zidan Jaya Motor is a company that serves the sale and purchase of used motorcycles, from various brands and types of motorcycles. The problem that is often encountered is the ineffectiveness of sales services in terms of time and effort because they still use manual data collection in the company's parent book. The purpose of this research is to design a web-based used motorcycle sales application. This sales information system planning uses the SDLC (system development life cycle) development method with the PHP (hypertext markup language) programming language. This sales application makes it easy for Zidan Jaya Motor to manage goods data, sales reports, optimize services and maintain company data security. With the support of human resources and computerized information systems.
Pengaruh Disiplin, Motivasi Belajar, Keterampilan Mengajar Guru, Media Pembelajaran terhadap Minat Belajar Siswa Kelas XII AKL SMK Negeri 2 Bukittinggi pada Pembelajaran Jarak Jauh di Era New Normal
Authors: Fira Illya , Ansofino Ansofino , Susanti Nora
Published: December 2021

This study aims to analyze: 1.) The effect of learning discipline on interest in learning 2.) The effect of learning motivation on interest in learning 3.) The effect of teacher teaching skills on interest in learning 4.) The effect of learning media on interest in learning 5.) To analyze learning discipline , learning motivation, teacher teaching skills and learning media simultaneously on online learning outcomes in economics class XII AKL SMK Negeri 2 Bukittinggi. The population of this study were students of class XII AKL SMK Negeri 2 Bukittinggi, amounting to 90 people. The sampling technique used was Stratified Sampling with a total sample of 62 people. The instrument used for this research is a closed questionnaire using the Multilevel Linear Regression test and hypothesis testing with t test and F test.The results of the study show that: (1) learning discipline greatly affects students' interest in learning, a greater influence is found in the sample group of non-current internet network ownership, this is because if internet access is inadequate it will affect students' interest in learning; (2) learning motivation greatly affects students' interest in learning, the biggest influence comes from students with poor internet access this is due to the lack of student motivation in distance learning because the network is less stable this affects interest in learning; (3) teacher's teaching skills greatly affect interest in learning, the greater influence comes from samples with ownership of internet access that is not smooth, this is because if internet access is lacking, the learning process changes from conventional to network that still does not master technology so that the learning process does not run. maximum ; (4) learning media greatly influences interest in learning, the biggest influence comes from samples of internet access that are not smooth, this is because not all students have internet access and difficulties in using the learning media provided, so that it will affect students' interest in learning.
Caracterización energética y determinación del potencial de generación eléctrica con tecnologías termoquímicas a partir de residuos degradables en Santiago de los Caballeros (República Dominicana)
Authors: Cuervo Julián , Betances Margarita , Peréz Esclaudys
Published: December 2021

Este artículo presenta resultados donde se caracteriza energéticamente la fracción degradable de los residuos domésticos mediante la prueba de poder calorífico, además se determinó el potencial de generación eléctrica de esta fracción con tecnologías termoquímicas en un caso de estudio para la ciudad de Santiago de los Caballeros, República Dominicana. De acuerdo con los resultados, el poder calorífico promedio arrojó un valor de 9.337,6 kJ·kg-1. El valor más alto fue obtenido por los residuos de jardinería 10.560,6 kJ·kg-1. Seguido por los residuos de alimentos 10.385,4 kJ·kg-1. Los desechos de madera, cartón y papel arrojaron 9.875,0 kJ·kg-1, 9.227,4 kJ·kg-1 y 6.639,7 kJ·kg-1, respectivamente. El potencial de generación bruta de electricidad por día con respecto a los desechos orgánicos alcanzó un máximo de 308,8 MWh por día a través de la Gasificación de Ciclo Combinado (GCC).
Editorial
Authors: Erazo Kalil
Published: December 2021

No precisa de un resumen.
Perfil de las funciones ejecutivas en una muestra de niños diagnosticados con Trastorno Negativista Desafiante
Authors: Arana Medina Claudia Marcela , Garcia Peña John Jairo
Published: December 2021

El presente estudio tuvo por objetivo determinar el perfil del funcionamiento ejecutivo de nueve niños que presentan trastorno negativista desafiante (TND) a través de pruebas neuropsicológicas que evalúan estas funciones frontales. El alcance de la investigación fue descriptivo–observacional y su diseño no experimental. Para las evaluaciones neuropsicológicas se utilizaron instrumentos de carácter cuantitativo y las variables fueron consideradas a través de instrumentos estandarizados y sus puntuaciones son de tipo numérico. Como resultado, se evidencia un bajo desempeño en la mayoría de las pruebas que valoran las funciones dorsales en la muestra evaluada. Los resultados arrojados contribuyen a una mejor comprensión del diagnóstico del TND, además de aportar elementos para implementar estrategias efectivas en el orden de la intervención; especialmente debido a la prevalencia de este trastorno es de 6.43 % en la población colombiana.
The Relevance of Using Market Competencies in the Process of Diversification of Defense Industry Enterprises
Authors: Berkutova T. A. , Golubev S. S. , Makhova A. V. , Kovtun B. A.
Published: December 2021

The paper presents an overview of the problems faced by the enterprise of the military-industrial complex in the process of diversification when identifying market needs, searching for directions and opportunities for the promotion and sale of civilian and dual-use products. One of the key constraining factors of diversification is the lack of market competencies of the personnel of defense industry enterprises. In the current conditions, the skills of market segmentation and positioning of goods and enterprises, management of trademarks and brands, creation of intangible market assets, formation of business partnerships that allow entering the markets with competitive goods in a short time, ensuring the flexibility of enterprises and reducing the time to enter the markets of civil products become relevant. The condition for the successful implementation of the diversification strategy is the formation of market competencies: strategic analysis and market research, product portfolio management, the formation of product, price, service policy, the implementation of competitive strategies, the development of marketing services: the creation of divisions focused on working with the markets of civil and dual-use products, the development of new functionality for marketers, ensuring the interaction of production, technological and marketing services within the framework of meeting market needs. The development of market competencies will make it possible to realize the production and technological advantages of defense industry enterprises in the process of diversification and ensure: access to new markets for civil and dual-use products; targeted actions in existing markets; increasing the competitiveness of civil and dual-use products and defense industry enterprises in the markets; increasing the degree of adaptability and mobility of defense industry enterprises in the markets of civil and dual-use products to environmental conditions, reducing the response time to market requirements; solving socio-economic problems through broad integration with the high-tech civilian sector of industry.
Factors of Correlation for Dynamic Links of Rotor Systems of Wind Electric Installation
Authors: Buyalsky V. I.
Published: December 2021

The substantiation of definition of correlation factors for dynamic links of rotor systems of wind electric installations, as one of subtasks of the mathematical algorithms of dynamic behavior of system claimed for the further working out for the purpose of automated control updating fot the wind-electric installation which provides reduction of vibrations of all elements of rotor systems in conditions of loading a drive at different modes of operation of the energy-unit that promotes improvement of indicators of reliability for components of the modern wind installations is made. The problem of determining the parameters of the analytical model of the correlation function for the purpose of definition of correlation dependences between the measured values of meteorological and electro-power process taking into account the requirement of a minimum of the sum of squares of discrepancies (approximation errors) for the actual and approximating lines is solved. The average square deviation of an error of approximation, meteorological and electro-power process on the basis of a discrete estimation of ordinates of the analytical model of the correlation function does not exceed 1%. Mathematical formulas for definition of the spectral density of input and target casual processes, and also mutual spectral density of input and target casual processes of dynamic links of rotor systems on the basis of the block diagram of transfer functions of the system behavior for the purpose of revealing the degree of correlation of transfer functions are made. The analysis is made for processes of input and target signals of transfer functions with regard to their coherent state on the basis of calculation of factors of correlation for dynamic links of rotor systems for the purpose of the description of the transfer function within the limits of the analysis of vibrating fields of the unit as a whole since vibrations are causednot only by blades but also by all elements with rotor systems.
Mythological Concept as A Kind of Linguocultural Concept
Authors: Muhiddinovich Obidov Izzatjon
Published: December 2021

Abstract: The mythological concept is considered in the work as a type of linguocultural concept, which is characterized by a three-part structure with a well-developed figurative, conceptual and mandatory value components. Keywords: mythological concept, linguocultural concept, mythological conceptual sphere, mytholexeme, lexical meaning, fairytale discourse.
Uninvestigated Dyspepsia and Heartburn Overlap Syndrome at Industrial Hub of Eastern Siberia
Authors: Tsukanov V. V. , Vasiutin A. V. , Tonkikh J. L. , Kasparov E. V. , Smirnova O. V.
Published: December 2021

Aim. A study of the overlap syndrome of uninvestigated dyspepsia and heartburn at an industrial hub city of Eastern Siberia.Materials and methods. A total of 1,382 subjects (684 men and 698 women, mean age 40.6 years) were randomly selected and examined for the central district of Krasnoyarsk. The clinical check-up and interviewing results were registered with a standard questionnaire. Heartburn was diagnosed as per the Montreal Consensus. Since no endoscopic patient examination had been performed, dyspepsia was assumed uninvestigated. Dyspepsia was diagnosed as per the Rome IV criteria. The study conduction complied with ethical standards. Each participant signed an informed examination consent, in accordance to the regulations by the World Medical Association’s Declaration of Helsinki. The survey data were analysed with common statistical methods.Results. Heartburn, uninvestigated dyspepsia and their overlap syndrome had prevalence of 12.4, 21.1 and 5% in study population, respectively. Uninvestigated dyspepsia was registered in 40.4% patients with and 18.4% — without heartburn (p < 0.001). The risk factors of overlap syndrome were age >40 years (p = 0.002), obesity (p = 0.002), nonsteroidal anti-inflammatory drug and/or aspirin intake (p = 0.004) and tobacco smoking (p = 0.007). Among total patients with the heartburn/uninvestigated dyspepsia overlap syndrome, only 33.3% systemically had proton pump inhibitors, and only 17.4% had a prokinetic therapy.Conclusion. The heartburn/uninvestigated dyspepsia overlap syndrome is an actual issue in the Krasnoyarsk population. Attention is warranted to this problem to optimise treatment and prevention measures.
KAJIAN DAN DESAIN TOURISM MARKETING di NEGERI OMA ; PROFIL DAN PEMETAAN (PENELITIAN TERAPAN TAHUN I)
Authors: Tanihatu Maudy M , Tahalele Marie C , Talahatu Imelda , Simarmata Ricardo M , Sutiksno Dian Utami
Published: December 2021

The tourism sector is a service sector that contributes significantly financially to the country's economy. Maluku province has tourism potential. Including a tourist attraction in Oma village, one of the villages in Central Maluku district, Ambon City, Maluku Province. This research is a multi-year study (4 years) and aims to: 1. create a profile and mapping of tourist objects, 2. create easy access and facilities, 3. implement integrated marketing communications and digitization of tourism marketing and 4. collaborate on tourism marketing in Oma village with Maluku tourism & investment industry. For the first year of research, the research objective is number 1, which is to create a profile and mapping of tourist objects in Oma's Country. This type of research is applied research and qualitative methods.
Relacion de la composición corporal y la velocidad de procesamiento cognitivo en estudiantes universitarios
Authors: Carrillo Ramírez Cristian Ermides , Triana Reina Héctor Reynaldo
Published: December 2021

Introducción. Existe una amplia discusión acerca del papel de la composición corporal en el desarrollo de funciones cognitivas como la velocidad de procesamiento (VPC), especialmente sobre la masa grasa. Además, pocos estudios -especialmente en Colombia- han explorado dicha relación en universitarios de diferentes áreas de conocimiento. Objetivo. Determinar la relación existente entre la velocidad de procesamiento cognitivo y la composición corporal, en estudiantes universitarios de Bogotá D.C., Colombia. Materiales y métodos. Estudio transversal de tipo descriptivo y correlacional en una muestra total de 122 estudiantes hombres aparentemente sanos (17 a 31 años) de diferentes áreas de conocimiento (72,1% de Cultura física y 27,9% de otras carreras), pertenecientes a universidades privadas del Distrito Capital. Se midieron parámetros antropométricos (talla, peso, circunferencia de cintura (CC)), variables de composición corporal (báscula de bioimpedancia); la VPC se evaluó mediante la Prueba de Adición en Serie Audible Estimulada (PASAT (60)-3”). El análisis estadístico se realizó empleando el software IBM SPSS V. 25 para el cálculo de los resultados. Resultados. Con una media de 20,9 (3,4) años, se identificó un Índice de Masa Corporal (IMC) de 40,5% en sobrepeso y 4,1% en obesidad. El PASAT (60)-3”) se relacionó de manera positiva con el IMC, porcentaje de grasa (%GC) y CC, negativamente con el porcentaje de masa muscular (%MM) en el grupo de otras carreras. Sin embargo, la VPC disminuida tenían mayor %GC, CC y %MM menor, en comparación con quienes tenían una VPC dentro de lo esperado (p= < 0,05). Conclusión. La masa grasa parece tener influencia sobre la velocidad de procesamiento cognitivo, no obstante, dicha relación no sigue un patrón claramente definido, parece comportarse de manera curva en donde valores extremos podrían afectar negativamente dicha función cognitiva. Aparentemente una composición corporal más saludable puede ser beneficiosa para la velocidad de procesamiento en universitarios.
Corporate governance: Discovering the new research horizons
Authors: Hogan Karen M. , Kostyuk Alexander
Published: December 2021

The global reduction in individual or retail ownership of stocks toward a movement to more institutional ownership has had many effects on the financial markets, stock prices, and corporate structure over time. The new-found fields will sow the research agendas for the future of corporate governance. To that end, the papers presented at the international online conference, “Corporate Governance: Fundamental and Challenging Issues in Scholarly Research” represent some of that research that is starting to take bloom. The conference forum united the ideas of more than 40 scholars from many countries of the world who participated with their comments delivering more value to the research presented at the conferences.
STABILIZATION OF THE GENERALIZED RAO-NAKRA BEAM BY PARTIAL VISCOUS DAMPING
Authors: AKIL Mohammad , Liu Zhuangyi
Published: December 2021

In this paper, we consider the stabilization of the generalized
Rao-Nakra beam equation, which consists of four wave equations for the
longitudinal displacements and the shear angle of the top and bottom
layers and one Euler-Bernoulli beam equation for the transversal
displacement. Dissipative mechanism are provided through viscous damping
for two displacements. The location of the viscous damping are divided
into two groups, characterized by whether both of the top and bottom
layers are directly damped or otherwise. Each group consists of three
cases. We obtain the necessary and sufficient conditions for the cases
in group two to be strongly stable. Furthermore, polynomial stability of
certain orders are proved. The cases in group one are left for future
study.
Triple whammy: a rare case of epithelioid hemangioendothelioma with synchronous angiomyomatous hamartoma complicated by Actinomyces meyeri
Authors:   Department of Internal Medicine, University of Texas Health Science Center San Antonio, TX, USA, Khan Nariman , Waheed Saadia ,   Department of Internal Medicine, University of Texas Health Science Center San Antonio, TX, USA, Alkhateb Rahaf ,   Department of Pathology and Laboratory Medicine, University of Texas Health Science Center San Antonio, TX, USA
Published: December 2021

Epithelioid hemangioendothelioma is a rare vascular malignancy that originates from vascular endothelial or pre-endothelial cells and is composed of epithelioid or histiocytoid cells. This malignancy has an incidence of approximately one per one million individuals and can occur in various regions of the body including the lungs, liver, bones, and soft tissues. The behavior of this cancer can range from indolent to aggressive and diagnosis and treatment are often delayed due to variable presentations and lack of established treatment guidelines. Here we present the case of a 27-year-old Hispanic male that presented with right groin pain, abdominal pain, and a fifty-pound weight loss over one year. The patient had a complex hospital course during which he was found to have an angiomyomatous hamartoma of his right groin area, postsurgical right inguinal wound infection with Actinomyces meyeri, and epithelioid hemangioendothelioma distal to the right iliac bifurcation. The patient is currently pending further imaging studies to evaluate candidacy for surgical resection and following with oncology for chemotherapeutic options.
Collision tumor of the thyroid – a challenge during the COVID-19 pandemic
Authors:   Department of Internal Medicine II, Discipline of Endocrinology, “Victor Babeș” University of Medicine and Pharmacy Timisoara, Romania, Vlad Mihaela ,   Department of Endocrinology, Emergency County Hospital Timisoara, Romania,   Centre for Molecular Research in Nephrology and Vascular Disease, Faculty of Medicine, “Victor Babeș” University of Medicine and Pharmacy, Timișoara, Romania, Corlan Ana ,   Department of Internal Medicine II, Discipline of Endocrinology, “Victor Babeș” University of Medicine and Pharmacy Timisoara, Romania; Department of Endocrinology, Emergency County Hospital Timisoara, Romania; Centre for Molecular Research in Nephrology and Vascular Disease, Faculty of Medicine, “Victor Babeș” University of Medicine and Pharmacy, Timișoara, Romania, Balas Melania ,   Department of Internal Medicine II, Discipline of Endocrinology, “Victor Babeș” University of Medicine and Pharmacy Timisoara, Romania; Department of Endocrinology, Emergency County Hospital Timisoara, Romania; Centre for Molecular Research in Nephrology and Vascular Disease, Faculty of Medicine, “Victor Babeș” University of Medicine and Pharmacy, Timișoara, Romania
Published: December 2021

Some of the patients with anaplastic thyroid carcinomas have a coexistent differentiated thyroid cancer, sustaining the hypothesis that this cancer may develop from more differentiated tumors. We describe a case with a collision tumor of the thyroid, defined as a neoplastic lesion composed of two distinct cell populations, with distinct borders. The patient presented during the COVID-19 pandemic with dysphonia, dyspnea, multinodular goiter and a painless, rapidly enlarging, left cervical swelling. She had been first time diagnosed with left nodular goiter in 2007, with an indication for surgery, which she declined. After partial excision of the left latero-cervical adenopathy, the pathological analysis showed massive lymph node metastasis from anaplastic thyroid cancer. A total thyroidectomy was done; the postoperative pathological exam identified a papillary thyroid microcarcinoma in the right lobe and an anaplastic thyroid cancer in the left lobe. Postoperatively, levothyroxine treatment was started and the patient was referred to radiotherapy. This case highlights the importance of urgent management of some cases with compressive multinodular goiter, even during the COVID-19 pandemic.