bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of Maternal and Fetal Outcomes According to Induction Methods Following Negative Oxytocin Challenge Test
Authors: Aytekin Okan , Aksakal Sezin Erturk , Altay Mehmet Metin 
Published: January 2022

Abstract
Purpose: To evaluate maternal and perinatal outcomes in high-risk patients who had negative OCTs and to investigate the effects of methods of induction on the development of fetal distress. Methods: The hospital records of patients were reviewed retrospectively. Clinical data were obtained from medical records. Results: OCT was performed in 551 patients and was negative in 447 patients. Among patients with a negative OCT, labor induction was preferred in 427 (95.5%) patients. When fetal distress development was assessed according to the induction method used following a negative OCT, and fetal distress developed in 9.1% of 427 patients who underwent labor induction. Conclusion: When outcomes were considered in pregnant women with a negative OCT, it was observed that there were no fetal deaths and a limited number of newborns with low Apgar scores. Further randomized studies are needed to draw definitive conclusions.
An approach for forecasting the Onion Price volatility in Indian Wholesale Markets using hybrid GARCH-LSTM Deep learning models
Authors: Swarup Shivam , Kushwaha Gyaneshwar Singh 
Published: January 2022

Abstract
The fluctuations in the Onion prices have led to political and economic ramifications in countries such as India. In this study, we intend to estimate and then forecast the price volatility of Onion sales prices in major Indian wholesale markets. Initially, we take daily price data from major vegetable wholesale markets across India and simulate them to compute corresponding daily conditional volatilities using the traditional GARCH method. We then forecast the volatilities for the upcoming 10,15 and 21 days using the same traditional GARCH method and compare its forecasting accuracy with recent AI-led models. According to our comparisons, the deep learning-based LSTM model with various configurations provides superior results when compared to other traditional models with the highest accuracy in more than 70% of the cases. We expect that the given study could help the policymakers in managing sufficient buffer stock levels and the food supply chain stakeholders in hedging against the overall market risks due to the fluctuations in prices.
New onset rheumatoid arthritis with refractory hyper-eosinophilia associated with inactivated COVID-19 vaccine
Authors: Singh Rohit , Kaur Upinder , Singh Ankur , Chakrabarti Sankha Shubhra 
Published: January 2022

Abstract
COVID-19 vaccines are considered one of the primary strategies for countering the pandemic. While mRNA based and viral vector-based vaccines have been predominantly used, inactivated SARS-CoV-2 vaccines are being manufactured in countries such as China and India. Post approval, rare but serious adverse events such as myocarditis and stroke have been observed with mRNA based and viral vectored COVID-19 vaccines. Inactivated vaccines in general have shown better tolerability in clinical trials. Here we report the first case of new-onset seropositive rheumatoid arthritis (RA) with rheumatoid nodules and refractory reactive eosinophilia within two weeks of receiving an inactivated COVID-19 vaccine (COVAXIN).
TinyLFU-Based Semi-Stream Cache Join for Near-Real-Time Data Warehousing
Authors: Naeem M. Asif , Waqar Wasiullah , Mirza Farhaan , Tahir Ali 
Published: January 2022

Abstract
Semi-stream join is an emerging research problem in the domain of near-real-time data warehousing. A semi-stream join is basically a join between a fast stream (S) and a slow disk-based relation (R). In the modern era of technology, huge amounts of data are being generated swiftly on a daily basis which needs to be instantly analyzed for making successful business decisions. Keeping this in mind, a famous algorithm called CACHEJOIN (Cache Join) was proposed. The limitation of the CACHEJOIN algorithm is that it does not deal with the frequently changing trends in a stream data efficiently. To overcome this limitation, in this paper we propose a TinyLFU-CACHEJOIN algorithm, a modified version of the original CACHEJOIN algorithm, which is designed to enhance the performance of a CACHEJOIN algorithm. TinyLFU-CACHEJOIN employs an intelligent strategy which keeps only those records of $R$ in the cache that have a high hit rate in S. This mechanism of TinyLFU-CACHEJOIN allows it to deal with the sudden and abrupt trend changes in S. We developed a cost model for our TinyLFU-CACHEJOIN algorithm and proved it empirically. We also assessed the performance of our proposed TinyLFU-CACHEJOIN algorithm with the existing CACHEJOIN algorithm on a skewed synthetic dataset. The experiments proved that TinyLFU-CACHEJOIN algorithm significantly outperforms the CACHEJOIN algorithm.
Subordinasi dan Sudut Pandang Perempuan Suku Malind Marga Mahuze dalam Film the Mahuzes (2015): a Feminist Standpoint Theory
Authors: Arfiani Dini 
Published: January 2022

Abstract: Documentary films are one of the most suitable media to be used as a reference in seeing reality. Like the reality of subordination and women's point of view in The Mahuzes. In general, this film tells the story of the conflict that occurred between the Malind clan Mahuze in Merauke and corporations that entered their territory through the Merauke Integrated Food and Energy Estate (MIFEE) program, besides that there were horizontal conflicts between tribal members. This study aims to analyze the form of subordination and women's point of view seeing the problems of indigenous peoples dealing with corporations which are shown by the documentary film The Mahuzes in the perspective of Feminist Standpoint Theory. This study uses a qualitative approach and a critical paradigm by collecting data from various relevant sources. Events involving or relating to women were analyzed using three basic concepts of Feminist Standpoint Theory, namely standpoint, situated knowledge, and sexual division of labour. The results of the study indicate that women in The Mahuzes are a marginalized group, forced to take responsibility for the domestic space, and are limited to take part in the public sphere. Even so, they have a broad and comprehensive perspective in viewing horizontal conflicts between clan members and vertically between clans and corporations.

Keywords: Subordinate; Feminist Standpoint; MIFEE; The Mahuze
Abstrak: Film dokumenter menjadi salah satu media yang paling sesuai untuk dijadikan sebagai rujukan dalam melihat realitas. Seperti realitas subordinasi dan sudut pandang perempuan dalam The Mahuzes. Film ini, secara garis besar berkisah tentang konflik yang terjadi antara suku Malind marga Mahuze di Merauke dengan korporasi yang masuk ke wilayah mereka melalui program Merauke Integrated Food and Energy Estate (MIFEE), selain itu terdapat konflik horizontal antar anggota suku. Penelitian ini bertujuan untuk menganalisis bentuk subordinasi dan sudut pandang perempuan melihat permasalahan masyarakat adat berhadapan dengan korporasi yang ditampilkan oleh film dokumenter The Mahuzes dalam perspektif Feminist Standpoint Theory. Penelitian ini menggunakan pendekatan kualitatif dan paradigma kritis dengan mengumpulkan data dari berbagai sumber yang relevan. Agedan-agedan yang melibatkan atau berkaitan dengan perempuan dianalisis dengan menggunakan tiga konsep dasar Feminist Standpoint Theory, yaitu standpoint, situated knowledge, dan sexual division of labour. Hasil penelitian menunjukkan bahwa, perempuan dalam The Mahuzes merupakan kelompok yang terpinggirkan, dipaksa untuk bertanggung jawab pada ruang domestik, dan terbatas untuk berkiprah di ruang publik. Meskipun begitu, mereka memiliki sudut pandang yang luas dan menyeluruh dalam melihat konflik horizontal antar anggota marga maupun vertikal antara marga dan korporasi.
Kata kunci: Subordinasi; Feminist Standpoint; MIFEE; The Mahuze
Polemik Work From Home (WFH) Bagi Perempuan Bekerja di Tengah Digitalisasi Teknologi dan Pandemi
Authors: Putri Sukma Ari Ragil , Fahrudin Ahmad 
Published: January 2022

Abstract: Social distancing are a form of policy that made by the government in order to prevent the spread of the COVID-19 virus. This method, that was made by Indonesian government has implications for the method of working in the pandemic era, namely working from home. The application of social distancing then causes an increase in household activities that increase women's responsibilities in parenting and household work. Through the concept of symbolic violence, this article tries to explain the impact of social distancing restrictions on working women. This article finds that symbolic violence occurs through habitus that shapes women's mindsets so that they feel that caregiving and household work are women's responsibilities. This article also finds various gender inequalities that are increasingly visible with the social distancing restrictions that implemented by Indonesian governement.

Keywords: Gender; pandemic; symbolic violence
Abstrak: Pembatasan jarak sosial menjadi salah satu kebijakan yang dilakukan oleh pemerintah untuk mencegah persebaran COVID-19. Metode ini dijalankan di Indonesia yang berimplikasi pada metode bekerja era pandemi yaitu work from home atau bekerja dari rumah. Penerapan social distancing kemudian menyebabkan bertambahkan kegiatan rumah tangga yang memperbesar tanggung jawab perempuan dalam kerja pengasuhan dan kerja rumah tangga. Melalui konsep kekerasan simbolik artikel ini mencoba memaparkan dampak dari pembatasan jarak sosial pada perempuan bekerja. Artikel ini menemukan bahwa kekerasan simbolik terjadi melalui habitus yang menyusun pola pikir perempuan sehingga merasa kerja pengasuhan dan kerja rumah tangga merupakan tanggung jawab perempuan. Artikel ini juga menemukan berbagai ketimpangan gender yang semakin terlihat dengan adanya pembatasan jarak sosial yang dilakukan di Indonesia.
Kata kunci: Gender; kekerasan simbolik; pandemi
New Uses of Melatonin as a Drug; A Review
Authors: Pohanka Miroslav 
Published: January 2022

Abstract:
Melatonin is a simple compound called N-acetyl-5-methoxy tryptamine and is
known as a hormone controlling the circadian rhythm. Melatonin is produced by the human
body naturally. The production of melatonin increases in the evening, causing a
state of sleep at night and wakefulness during the day. Melatonin interacts with melatonin
receptors MT1 and MT2, but it was revealed that melatonin is a strong antioxidant
and it also has a role in the regulation of the cell cycle. Melatonin is now used as a
medicine to treat some types of sleep disorders. Moreover, recent research suggests that
it can also be utilized for other purposes, such as prevention from chemical exposure and
treatment of various diseases, including cancer, neurodegenerative disorders, etc. This review
summarizes the basic facts and direction of the current research on melatonin. The
existing literature was scrutinized for this review.
In Silico Trial Approach for Biomedical Products: A Regulatory Perspective
Authors: Jose Jobin , S. Shifali , Mathew Bijo , Parambi Della Grace Thomas 
Published: January 2022

Abstract:
The modern pharmaceutical industry is transitioning from traditional methods to advanced
technologies like artificial intelligence. In the current scenario, continuous efforts are being
made to incorporate computational modeling and simulation in drug discovery, development,
design, and optimization. With the advancement in technology and modernization, many pharmaceutical
companies are approaching in silico trials to develop safe and efficacious medicinal products.
To obtain marketing authorization for a medicinal product from the concerned National Regulatory
Authority, manufacturers must provide evidence for the safety, efficacy, and quality of medical
products in the form of in vitro or in vivo methods. However, more recently, this evidence was
provided to regulatory agencies in the form of modeling and simulation, i.e., in silico evidence.
Such evidence (computational or experimental) will only be accepted by the regulatory authorities
if it considered as qualified by them, and this will require the assessment of the overall credibility
of the method. One must consider the scrutiny provided by the regulatory authority to develop or
use the new in silico evidence. The United States Food and Drug Administration and European
Medicines Agency are the two regulatory agencies in the world that accept and encourage the use
of modeling and simulation within the regulatory process. More efforts must be made by other regulatory
agencies worldwide to incorporate such new evidence, i.e., modeling and simulation (in silico)
within the regulatory process. This review article focuses on the approaches of in silico trials,
the verification, validation, and uncertainty quantification involved in the regulatory evaluation of
biomedical products that utilize predictive models.
Numerical Examination on Impact of Hall Current on Peristaltic Flow of Eyring-Powell Fluid under Ohmic-Thermal Effect with Slip Conditions
Authors: Abdeljawad Thabet , Sohail Muhammad , Yasin Maria , Hina Sadia , Naz Rahila 
Published: January 2022

Aims::
This article is intended to investigate and determine the combined impact of
Slip and Hall current on Peristaltic transmission of Magneto-hydrodynamic (MHD) Eyring-
Powell fluid.

Background:
The hall term arises, taking strong force-field under consideration. Velocity, thermal,
and concentration slip conditions are applied. The energy equation is modeled by considering
the Joule-thermal effect. To observe the non-Newtonian behavior of the fluid, the constitutive
equations of Eyring-Powell fluid are encountered.

Objective:
Flow is studied in a wave frame of reference traveling with the wave's velocity. The
mathematical modeling is done by utilizing adequate assumptions of long wavelength and low
Reynolds number.

Method:
The closed-form solution for momentum, temperature, and concentration distribution
is computed analytically using the regular perturbation technique for the small fluid
ter(A).

Results:
Graphical results are presented and discussed in detail to analyze the behavior of sundry
parameters on flow quantities (i.e., velocity, temperature, and concentration profile). It is noticed
that Powell-Eyring fluid parameters (A,B) have a significant role in the outcomes.

Conclusion:
The fluid parameter A magnifies the velocity profile, whereas the other fluid parameter
B shows the opposite behavior.
Solitary Radiolucent Erdheim-chester Disease: A Case Report and Literature Review
Authors: Popovic Aleksandar , Curtiss Christopher , Damron Timothy A. 
Published: January 2022

Background:
Erdheim-chester disease (ECD) is a rare non-Langerhans histiocytosis of unknown etiology, which typically presents with bilateral symmetric osteosclerosis and multi-organ involvement. Lesions may be intraosseous or extraosseous and involve the heart, pulmonary system, CNS, and skin in order of decreasing likelihood.

Objective:
The objective of this study is to discuss a case of erdheim-chester disease and conduct a review of the literature.

Case:
We describe a rare case of erdheim-chester in an asymptomatic 37-year-old male who was diagnosed after suffering a right ulnar injury. Subsequent evaluation revealed a solitary radiolucent ulnar lesion without multi-system involvement.

Results & Conclusion:
The case is unique in its solitary distribution, lytic radiographic appearance, and asymptomatic presentation preceding pathologic fracture. This presentation may simulate multiple other bone lesions.
Evaluation of the Role of Twitter in Increasing the Awareness and Knowledge about Diabetes Among Citizens of Saudi Arabia
Authors: Alhodaib Hala , Alshakhs Manal , Alsaidan Sara , Aldossari Hamdah , Alnass Maryam , Alanezi Fahad , Aljabri Duaa , AL-salman Deema , Al-Fayez Asma , AlThani Bashair , Alanzi Turki 
Published: January 2022

Purpose:
The objective of this research was to evaluate the role of Twitter in increasing the awareness and knowledge of diabetes among citizens of Saudi Arabia.

Methods:
In this research we used a purposive sampling method and carried out a quantitative experimental study design. The participants were adults Twitter users from Saudi Arabia that had relative diabetic patients. The sample size was 200 participants, which were divided into an intervention and a control group. Each group consisted of 100 participants. The intervention group was recruited through Twitter, and the control group was recruited through WhatsApp. Data were analyzed and interpreted using statistical techniques, such as paired t-test, the simple t-test and the ANOVA.

Results:
The mean diabetes knowledge test (DKT) score of the intervention group was Mean=13.57, SD= 3.46. After the intervention process, the mean (M) increased to 17.06 and the standard deviation (SD) decreased to 2.35. According to these outcomes, the paired t-test showed that the use of Twitter had an influence on increasing diabetes awareness. Instead, for the control group, the mean (M) was 13.68, and the standard deviation (SD) was 3.72 at the baseline. During the study process, the mean (M) of the control group increased to 14 and the standard deviation (SD) augmented to 3.59. Then, according to the paired t-test, we concluded that in the control group, there was no effect on the participants’ knowledge.

Conclusion:
The results suggested that Twitter had a positive impact on increasing awareness and diabetes knowledge among adult Twitter users in Saudi Arabia.
Comparison of emotional and social intelligence assessment of students in state and private school during the pandemic
Authors: Khilmiyah Akif 
Published: January 2022

This study aims to determine differences in emotional and social intelligence assessment between public and private school students using Android-based PKES (Penilaian Kecerdasan Emosional-Sosial or Social-Emotional Intelligence Assessment) application in strengthening student character during the pandemic. This survey study with a quantitative approach was analyzed using a comparative model. The subjects were 120 parents and students of public and private elementary schools in Yogyakarta chosen by purposive sampling. Data were collected through interviews, observations, and Likert scale tests with the PKES application and analyzed by t-test. It reveals that state elementary school students' emotional and social intelligence emphasizes the psychomotor aspect or good behavior with the habituation method. Meanwhile, private elementary school students emphasize the cognitive aspect of character knowledge through the lecture method. The affective aspect of social-emotional intelligence in public and private elementary schools is still low. Students have not been trained to feel the good character impact with various methods, so good behavior will not last until they are old because it has not been embedded in their hearts. Different tests with t-test obtained 0.378>0.05, so the difference is insignificant. The emotional and social intelligence of public and private elementary school children during the pandemic is not much different. Because students study at home during the pandemic, their character is more influenced by parents than teachers. It implies that parents and teachers should more often train students to feel happy doing good deeds, so good character is embedded in the heart and lasts for a long time.
Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study
Authors: Zeng Siyang , Arjomandi Mehrdad , Tong Yao , Liao Zachary C , Luo Gang 
Published: January 2022

Background
Chronic obstructive pulmonary disease (COPD) poses a large burden on health care. Severe COPD exacerbations require emergency department visits or inpatient stays, often cause an irreversible decline in lung function and health status, and account for 90.3% of the total medical cost related to COPD. Many severe COPD exacerbations are deemed preventable with appropriate outpatient care. Current models for predicting severe COPD exacerbations lack accuracy, making it difficult to effectively target patients at high risk for preventive care management to reduce severe COPD exacerbations and improve outcomes.

Objective
The aim of this study is to develop a more accurate model to predict severe COPD exacerbations.

Methods
We examined all patients with COPD who visited the University of Washington Medicine facilities between 2011 and 2019 and identified 278 candidate features. By performing secondary analysis on 43,576 University of Washington Medicine data instances from 2011 to 2019, we created a machine learning model to predict severe COPD exacerbations in the next year for patients with COPD.

Results
The final model had an area under the receiver operating characteristic curve of 0.866. When using the top 9.99% (752/7529) of the patients with the largest predicted risk to set the cutoff threshold for binary classification, the model gained an accuracy of 90.33% (6801/7529), a sensitivity of 56.6% (103/182), and a specificity of 91.17% (6698/7347).

Conclusions
Our model provided a more accurate prediction of severe COPD exacerbations in the next year compared with prior published models. After further improvement of its performance measures (eg, by adding features extracted from clinical notes), our model could be used in a decision support tool to guide the identification of patients with COPD and at high risk for care management to improve outcomes.

International Registered Report Identifier (IRRID)
RR2-10.2196/13783
The Effect of Door to Wire Crossing and the Incidence of Acute Kidney Injury in ST Segment Elevation Myocardial Infarction Patients Underwent Primary Percutaneous Coronary Intervention at H. Adam Malik Hospital Medan
Authors: Cancerita Sherly , Hasan Harris , Mukhtar Zulfikri , Nasution Ali Nafiah , Akbar Nizam Zikri , Sitepu Andika 
Published: January 2022

Background: ST segment elevation myocardial infarction (STEMI) causes hemodynamic changes and an increase in endogenous vasoconstrictor release leads to renal arteriolar vasoconstriction and decreases renal perfusion and may causes acute kidney injury (AKI). Door to wire crossing is a very important prognostic marker in STEMI patients.
Aims: To assess the effect of door to wire crossing and the incidence of AKI in STEMI patients with onset <12 hours undergoing primary percutaneous coronary intervention (PCI) at H. Adam Malik General Hospital Medan.
Methods: This study is a cohort study conducted from October 2018 to July 2019 with study subjects of STEMI patients with onset <12 hours who underwent primary PCI that met the inclusion and exclusion criteria. Creatinine levels will be checked before and 48-72 hours after the primary PCI as well as the door to wire crossing will be recorded and compared.
Result: The incidence of AKI was found around 14% in the group with a door to wire crossing <140 minutes and by 39% in the group with a door to wire crossing> 140 minutes. It was found that the final urea (p = 0.03), creatinine (p = 0.01), CrCl (p = 0.004) and changes in creatinine (p = 0.008) were statistically significant, while the contrast volume was not. In addition, the door to wire cossing >140 minutes (OR: 4.6; p = 0.032), hypertension (OR: 5.96; p = 0.018) and STEMI onset >6 hours (OR: 7.3; p = 0.019) emerged as independent predictors of AKI.
Conclusion: STEMI patients with onset <12 hours who underwent primary PCI with the door to wire cossing >140 minutes have 4.6 times likelihood to develop AKI rather than those with door to wire cossing <140 minutes. The incidence of AKI ranges from 14% -39%. The independent predictors of AKI besides door to wire crossing are hypertension and STEMI's onset.