bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Model for the Hierarchical Response of Control Devices in the Power Flow Problem
Authors: Gatta Paula Oliveira La , Netto Nicolas Abreu Rocha Leite , Filho Joao Alberto Passos 
Published: August 2024

Abstract

Various control devices, such as shunt banks, on-load tap changers, and static var compensators, can be connected to a microgrid. Depending on the operating schemes, some of these controls may hierarchically actuate in the system to maintain reactive power reserve. This paper proposes a formulation based on sigmoid functions to perform the hierarchical actuation of control devices in the power flow problem. The methodology was generalized to accommodate N hierarchy levels, where N is the number of control devices. The sigmoid function deals with the operational device, and when it reaches its limits, it activates the performance of the subsequent one. To achieve this, the methodology incorporates equations obtained from combining the steady-state characteristics of the control devices and the sigmoid functions into the power flow formulation. These equations are solved simultaneously with the power flow equations in polar coordinates using the full Newton's method. The methodology is evaluated by applying it to two test systems: 11-bus test system and the well-known Nordic system. The results demonstrate the effectiveness of the proposed approach.
Influence of information asymmetry on the cost of equity capital in companies admitted to Tehran Stock Exchange
Authors: AskariNia Saeed 
Published: August 2024

Abstract

The purpose of this research is to investigate the effect of information asymmetry on capital structure and capital cost of companies accepted in Tehran Stock Exchange. For this purpose, four different criteria of cost of capital, including the cost of capital (WACC) stock, the cost of capital accumulated profits, the cost of debt and the average cost of capital, were analyzed. The statistical population of this study consisted of 94 companies from 20 different industrial groups that showed a significant relationship between information asymmetry and two criteria for the cost of capital stock and debt expenses in the period of 2004–2014 using combined data. But between information asymmetry and the other two criteria, the accumulated profit cost and the rationale for the cost of capital are not significant. Therefore, it can be said that the operational definition of cost of capital affects the existence or non-existence of the mentioned relationship.
A Machine Learning Framework for Early Detection of Cardiovascular Risk Using Diabetes-Related Indicators: A Predictive Modeling Data-Driven Research
Authors: Borges Julian 
Published: August 2024

Abstract

Background and Objectives: Cardiovascular disease (CVD) remains a leading cause of death worldwide, with early detection critical for effective intervention. Diabetes, especially in its early stages, shares many pathophysiological features with CVD, making it a significant predictor of cardiovascular risk. This study explores the relationship between early-stage diabetes symptoms and CVD risk by developing and evaluating predictive models using logistic regression and Random Forest algorithms.
Methods: The study utilized two publicly available datasets: the Early Stage Diabetes Risk Prediction Dataset and the Heart Failure Clinical Records Dataset, containing 520 and 299 instances, respectively. Data preprocessing included median imputation for missing values and binary conversion of categorical variables. Feature engineering involved creating a symptom severity score by summing key diabetes-related symptoms. Logistic regression and Random Forest models were trained on 80% of the data and tested on the remaining 20%.
Findings: The Random Forest model outperformed logistic regression, achieving an accuracy of 81.4%, an AUC of 0.88, and a balanced accuracy of 83.5%. Serum creatinine, ejection fraction, and age were identified as significant predictors of heart failure risk. Logistic regression achieved an accuracy of 76.3% and an AUC of 0.78. The performance difference between the models was statistically significant (p = 0.015).
Conclusion: Symptoms associated with early-stage diabetes can be effective predictors of heart failure risk, with Random Forest showing strong predictive performance. These findings highlight the potential of machine learning in early detection of high-risk patients, facilitating timely interventions.
Pemodelan Tingkat Kemiskinan di Papua Barat dengan Pendekatan Binary Logistic Regression
Authors: Aini Anissa Nur , Octario Ashar Andika Udistiyan , Lestari Talia Indah , Nur Indah Manfaati , Wasono Rochdi 
Published: August 2024

Binary logistic regression model is a regression model used to predict the probability of a specific event occurring or not occurring based on predictor variable. In this model, the response variable is binary, meaning it has only two possible categories: a “failure”category and a “success” category. West Papua is included in the list of seven provinces that are the main focus of efforts to combat extreme poverty. Therefore, it is necessary to monitor the factors that need to be considered in order to prevent an increase in the poverty rate. To identify the factors influencing the poverty rate in Papua Barat, the research method used is binary logistic regression modeling, which assesses the influence of independent variables on the poverty rate in West Papua. So the results obtained from this study are from three variables, namely the open unemployment rate, average per capita expenditure, and gross regional domestic product have a significant effect on the poverty rate in West Papua with a classification accuracy of 100%.
Analisis Kestabilan Lokal Model Transmisi Demam Berdarah Dengue
Authors: Diana Arista Fitri , Hajar Muhammad Ibnu , Ikhtiyar Zakaria Bani , Aulia Lathifatul 
Published: August 2024

Dengue fever transmission in Indonesia has an advanced amount. In this article, dynamic model of interaction between human and Aedes aegypti mosquitos is learned. The SEIRRD (Susceptible, Exposed, Infected, Recovered, Deceased) model is used in this article. The prurpose in this model is to describe the stability of dengue transmission, so that we can analyze the developed of epidemic model in mathemtic field. Using NGM method to analyze basic reproduction number and applying Routh-Hurwitz criteria method to show the local stability of model. Then, two equilibrium points, called endemic and non-endemic equilibrium points, are obtained. The result of basic reproduction number is described the stability analysis. If basic reproduction number less then one, the endemic equilibrium point is locally asymptotically stable and otherwise. Local stability analysis at the equilibrium point is determined through parameter analysis. Furthermore, numerical simulations are carried out by fitting the data to obtaine the result of the parameters. The results of numerical simulations explaine the spread of dengue transmission Keywords: Dynamic Model, Epidemic Model, Equilibrium Point, Local Stability, Routh Hurwitz
Regresi Data Panel Indeks Pembangunan Manusia Provinsi Kepulauan Bangka Belitung
Authors: Yulianto Safa’at , Dwinda Dede 
Published: August 2024

The Human Development Index (HDI) isused as tool to measure the success or failure of program aimed at improving the quality of human life. Itserves as determinant of the level of development of a country or region.. in this research, panel data is utilized in the form of a combination of cross-section and time series. This type of data can provide insights into two types of information: inter-unit and inter-time information. Panel data regression is a regression with a data structure in the form of data on the diversity of location aspects alone but also influenced by other factors. The purpose of this study was to determine the factors that affect the quality of life in the Bangka Belitung Islands Province. As a result of this study, the best panel data regression model uses the Random Effect Model (REM). Life expectancy variables, average years of schooling, expected years of schooling and per capita expenditure were able to explain HDI in the Bangka Belitung Islands Province by 99.80%. The panel data regression equations are IPMit = 4.904 + 0,488 UHHit + 1,322 RLSit + 1,004 HLSit + 0,000 PPit.Keywords: HDI, Random Effect Model, Panel Data Regressioan.
Cell Polarity-related Gene PTK7, a Potential Diagnostic Biomarker in Pan-cancer
Authors: Zhang Yuzhe , Yan Lirong , Liu Aoran , Li Fang , Li Yanke , Zhang Ye 
Published: August 2024

Background:
PTK7 (Protein Tyrosine Kinase 7), a member of the receptor
protein tyrosine kinase family, was originally discovered in colon cancer cells. It plays a
pivotal role in numerous developmental and physiological processes, particularly in the
regulation of cell polarity. Despite accumulating evidence of PTK7's significant influence
on tumor development, a comprehensive pan-cancer analysis of PTK7 has yet to be
conducted.

Methods:
We conducted a comprehensive analysis of PTK7's expression, prognostic value,
and mutational patterns across various tumor types. We further explored the correlations
between PTK7 expression and tumor stemness, immune-related genes, immune
scores, and immune cell infiltration.

Results:
Enrichment analysis revealed PTK7's critical involvement in pan-cancer functions
and processes, including the WNT pathway, Epithelial-Mesenchymal Transition
(EMT), and cell polarity regulation. Additionally, we validated PTK7's expression in
gastric cancer via immunohistochemistry.

Conclusion:
Our study indicates that PTK7 holds promise as an ideal pan-cancer biomarker
due to its involvement in tumor progression and tumor immunity.
Catalase: A Potential Pharmacologic Target for Hydrogen Peroxide in the Treatment of COVID-19
Authors: Urakov Aleksandr , Urakova Natalya , Reshetnikov Aleksey , Shklyaev Aleksey , Nikolenko Vladimir , Osipov Anatoly , Klyachko Natalya , Sorokina Yulia , Muhutdinov Nikita , Okovityi Sergey , Shabanov Petr 
Published: August 2024

Background:
Acute respiratory distress syndrome in the elderly with COVID-19 complicated
by airway obstruction with sputum and mucus, and cases of asphyxia with blood, serous
fluid, pus, or meconium in newborns and people of different ages can sometimes cause hypoxemia
and death from hypoxic damage to brain cells, because the medical standard does not include
intrapulmonary injections of oxygen-producing solutions. The physical-chemical repurposing
of hydrogen peroxide from an antiseptic to an oxygen-producing antihypoxant offers hope for
the development of new drugs.

Methods:
This manuscript is a meta-analysis performed according to PRISMA guidelines.

Results:
It is shown that replacement of the traditional acidic activity of hydrogen peroxide solutions
by alkaline activity with pH 8.4 and heating the solutions to the temperature of +37 - +42 °C
allows to repurpose hydrogen peroxide from antiseptics into inhalation and intrapulmonary mucolytics,
pyolytics and antihypoxants releasing oxygen. The fact is that warm alkaline hydrogen peroxide
solution (WAHPS) in local interaction with sputum, mucus, pus, blood and meconium provides
optimal conditions for the metabolism of hydrogen peroxide to oxygen gas under the action
of the enzyme catalase, always present in these tissues. It was established that WAHPS liquefies
these biological masses due to alkaline saponification of lipid and protein-lipid complexes and simultaneously
transforms dense masses into soft oxygen foam due to active enzymatic metabolism
of hydrogen peroxide to oxygen gas, the rapidly appearing bubbles of which are formed by the
type of “cold boiling” and literally explode these masses. The results of the first experiments
showed that inhalation and intrapulmonary injections of WAHPS can significantly optimize the
treatment of suffocation and hypoxemia.

Discussion:
The results showed that catalase, which is found in sputum, mucus, pus, and blood,
may be a target for localized WAHPS because this enzyme provides an intensive metabolism of
hydrogen peroxide to oxygen gas up to the formation of the cold boiling process.

Conclusion:
These data provide a new perspective way for intrapulmonary drugs and new technologies
for the emergency increase of blood oxygenation through the lungs in asphyxia with
thick sputum, mucus, pus, meconium and blood.
Middle Lobe Syndrome in Children: Three Case Reports and a Brief Review
Authors: Spatuzzo Mattia , Mancino Enrica , La Regina Domenico Paolo , Matera Luigi , Virgili Fabrizio , Ialongo Sara , Iovine Elio , Simona Marra , Nenna Raffaella , Midulla Fabio 
Published: August 2024

Background:
Middle Lobe Syndrome (MLS) is a pediatric respiratory condition characterized
by the collapse of the middle lobe of the right lung or the lingula of the left lung. Historically
linked with tuberculosis, contemporary cases primarily involve asthma and other causes, like
foreign body aspiration or mucous plug.

Case Presentation:
We have, herein, analyzed the clinical features and management of three cases
of MLS from a single pediatric center. Additionally, we have reviewed 75 articles on pediatric
MLS by using common databases, such as PubMed and Medline.

Discussion:
MLS often poses a diagnostic challenge, presenting with symptoms, like cough,
wheezing, and localized rales. Radiological exams, especially chest X-rays and flexible bronchoscopy,
are needed for confirming the diagnosis, particulary in challenging cases. Both obstructive
and non-obstructive factors contribute to MLS.

Conclusion:
A comprehensive understanding of MLS, its diverse causes, and the significance of
early diagnosis is crucial for effective management. Treatment should target the underlying cause.
Prompt intervention may offer a positive outcome and help prevent complications, like bronchiectasis.
Newer Technological Advances: A Step Towards Better Dental Care
Authors: Pasupuleti Mohan Kumar , Salwaji Supraja , Dantuluri Mahitha , Raju Makv , Raju Venkata Rama , Marrapodi Maria Maddalena , Cicciù Marco , Minervini Giuseppe 
Published: August 2024

Background
Advanced technologies have drastically impacted the practice of dentistry in order to treat patients more effectively and efficiently.

Objective:
The goal of this systematic review was to give a thorough overview of the most widely applied advanced technology and its uses in dentistry.

Materials and Methods
This assessment adhered to the Preferred Reporting Items for Systematic Review (PRISMA) guidelines and its extension, PRISMA-S, which focuses on reporting literature searches in systematic reviews. The aim was to identify the prevalent applications of advanced technology in dentistry. To achieve this, search engines were employed to extract pertinent data from databases, such as PubMed, Web of Science, and Scopus. The systematic review was conducted in an Indian dental institution after registering in PROSPERO. According to database searches, the most popular advanced technologies utilized by dentists from 2013 to 2023 were included.

Results
Only 30 publications that offered comparative and systematic reviews of cutting-edge dental technology were selected from all the eligible articles out of 527 identified articles. Following the fulfillment of the inclusion criteria, this systematic review incorporated all research studies pertinent to artificial intelligence and machine learning (n=10), robotics in dentistry (n=10), and 3D printing (n=10).

Conclusion
Integrating new technologies into traditional dental practices has the potential to not only enhance patient outcomes but also elevate clinician satisfaction and career prospects.
Pulp Cavity Calcification in SLE Patient Associated with Long-term Use of Glucocorticoids: A Case Study with Endodontic Approaches
Authors: Xu Shenjie , Ma Shishuo , Sun Weilian 
Published: August 2024

Background
Calcification in the tooth pulp cavity occurs in response to various factors, including dental trauma and chronic irritation. Systemic lupus erythematosus (SLE) is the most common type of lupus, causing widespread inflammation and tissue damage in the affected organs. The SLE condition is generally managed by long-term use of drugs, including glucocorticoids (GCs).

Objective
This study aimed to assess the association of pulp cavity calcification in SLE patients with long-term use of GCs and to present endodontic perspectives on the issue.

Case Presentation
A female SLE patient with a history of long-term use of GCs visited our hospital for an oral surgery examination due to an accident. The crown of tooth 11 was visibly fractured. The tooth was sensitive to cold stimulus, while tooth 21 was mobile. Various examinations (including electric pulp test and panoramic radiography) pointed to the diagnosis of chronic pulpitis in the affected teeth (11 and 21), and cone beam computed tomography (CBCT) revealed that the pulp cavities in all teeth were almost completely calcified. Thus, the root canal treatment (RCT) was attempted and followed by crown restoration for the affected teeth. The involvement of GCs in the pulp cavity calcification was assessed.

Conclusion
According to this case and a series of related studies, long-term use of glucocorticoids is associated with the incidence of pulp cavity obliteration (PCO). More frequent dental examinations and appropriate adjustments in medication use (dose and duration) should be considered and implemented.
Comparison of Perioperative Pain Management between Arthroscopic Rotator Cuff Repair and Total Knee and Hip Arthroplasty
Authors: Miyamoto Ryosuke , Shitara Hitoshi , Ichinose Tsuyoshi , Sasaki Tsuyoshi , Hamano Noritaka , Kamiyama Masataka , Nakase Kurumi , Hashimoto Shogo , Takamine Shuhei , Yamamoto Atsushi , Takagishi Kenji , Hiroki Tadanao , Saito Shigeru , Chikuda Hirotaka 
Published: August 2024

Background
Although postoperative shoulder pain surgery is severe, the quality of its management has not been studied in comparison with pain after other orthopedic surgeries. Furthermore, reports have investigated daytime pain, but none have discussed nighttime pain.

Objective
This study aimed to compare perioperative pain management in patients who underwent Arthroscopic Rotator Cuff Repair (ARCR) and those who underwent lower extremity arthroplasty.

Methods
The study population included 33 patients who underwent ARCR and 21 patients who underwent lower-extremity arthroplasty between August 2015 and March 2016. For postoperative analgesia, an interscalene brachial plexus block was used for ARCR, and an epidural block was used for lower extremity arthroplasty. The Visual Analog Scale (VAS) for rest and night pain was measured from the day before the operation to the fourth postoperative day.

Results
In ARCR, night pain was significantly weaker on the day of surgery (VAS, ARCR 23.9 vs. lower extremity arthroplasty 47.9; P = 0.008); however, it was significantly stronger on the second and third postoperative days (2nd, 45.6 vs. 23.2; P = 0.002 / 3rd, 38.1 vs. 23.5; P = 0.021). There were no significant differences in rest pain.

Conclusion
It was confirmed that postoperative pain can be well managed in patients undergoing ARCR. However, because the pain worsened after the removal of the block, further improvement is required.
The Effect of Haptonomy on Fear of Childbirth and Maternal-fetal Attachment: A Systematic Review and Meta-analysis
Authors: Alivand Zahra , Nourizadeh Roghaiyeh , Hakimi Sevil , Esmaeilpour Khalil , Mehrabi Esmat 
Published: August 2024

Background:
Haptonomy is considered one of the non-pharmacological interventions
in reducing Fear of Childbirth (FOC) and increasing Maternal Fetal Attachment
(MFA). No review study has been conducted for an evidence-based conclusion in this regard.

Objective:
This study aimed to evaluate the pooled effect of haptonomy on FOC and MFA.

Methods:
A systematic literature search was conducted in an electronic database (Scopus,
Cochrane Library, Clinical Trials.gov, Embase, ProQuest, PubMed, Google Scholar, Web
of Science, SID, and Magiran) until January 30th, 2023, to find all interventional studies
that reported the effect of haptonomy on FOC and MFA.

Results:
A total of 26 relevant articles were retrieved in the search, of which 4 articles
were included in the systematic review. Meta-analysis was conducted for three research
studies with the outcome of FOC and three studies with the outcome of MFA. The metaanalysis
of three research conducted on 239 participants indicated the positive effect of
hatonomy intervention on reducing FOC (MD: -22.91; 95% CI: -28.21 to -17.61; p <
.001 ), and owing to the moderate heterogeneity, the random effect model was used
(I2 = 41.38%). The results of the meta-analysis of three research with 286 participants indicated
the ineffectiveness of haptonomy intervention on the MFA (MD: 4.35; 95% CI: -
2.72 to 11.42; p = .23) (I2 = 59.95%).

Conclusion:
Haptonomy intervention during pregnancy reduces FOC without playing any
role in increasing MFA. However, conducting the clinical trials with a larger sample size
by means of standard tools is recommended due to the limited number of haptonomy interventions
on MFA and the moderate heterogeneity of reviewed studies.
Reviewing Ivermectin’s Efficacy in Treating COVID-19 Infection
Authors: Boretti Alberto 
Published: August 2024

Background:
The use of antiviral therapies in addressing COVID-19 infection has been
subject to varying approaches across different jurisdictions during the initial two years of the pandemic,
with ivermectin being permitted in some regions, while banned in others.

Objective:
This study aimed to comprehensively review the evidence surrounding the efficacy of
ivermectin, specifically in combating COVID-19 infection.

Method:
The efficacy of ivermectin has been assessed through an extensive review of scientific literature.
Additionally, a comparative analysis has been conducted, evaluating cases and fatalities in
states and countries that either have embraced or rejected ivermectin and other antiviral treatments.

Results:
A thorough examination of the scientific literature has revealed a predominantly positive
trend supporting the utilization of ivermectin, evident in works published up to October 2021 and
continuing in subsequent publications. Insights drawn from 217 studies have indicated improvements
of 85%, 62%, and 41% for prophylaxis, early treatment, and late treatment, respectively. This positive
effect, particularly in prophylaxis, has been further substantiated by analyzing cases and fatalities
during the mid-2021 Indian outbreak. The success of the ivermectin-based Uttar Pradesh kit has
been highlighted by the notably expedited reduction in cases and fatalities compared to other Indian
states employing alternative approaches. Moreover, when contrasting countries that have prohibited
ivermectin and other antivirals (e.g., the United States and the United Kingdom) with nations endorsing
various antiviral strategies, including ivermectin, or with historical use of ivermectin (e.g., Africa,
India, Saudi Arabia, or the United Arab Emirates), the advantages of endorsing rather than discouraging
antiviral therapies have become evident.

Conclusion:
The majority of scientific literature has been found to support the use of ivermectin
against COVID-19 infection, consistent with the lesser impact of COVID-19 infections observed in
Indian states that have either utilized or abstained from ivermectin, as well as in countries that have
either adopted or rejected antiviral treatments.