bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-lasting Effects of a Prosocial Counter-Misinformation Intervention in an Informational Autocracy
Authors: Orosz Gabor , Faragó Laura , Paskuj Benedek , Kreko Peter 
Published: October 2022

AbstractConservative voters have difficulties distinguishing fake from real news. In Hungarian representative data (N = 991) we found voters of the reigning populist, conservative party rated misinformation more accurate than real ones independently from the news’ political leaning and content. The question arises: what can psychological science do to make government supporters more motivated and capable in the long run to identify misinformation in this cultural, political, and historical context? Designing scalable misinformation-reducing interventions that have a sustainable effect in the long term is a challenge researchers are struggling to surmount. The present work demonstrates a social psychological randomized controlled trial intervention in which young adults (N = 473) were placed in an expert role and were requested to write a letter to digitally less competent relatives explaining six strategies that can help them to discern misinformation. Compared to the active control group, there was an immediate (d = 0.27) and four weeks later a general long-term effect (d = 0.30) on distinguishing fake news from real ones. This long-term effect was especially salient among participants who support the conservative populist government (d = 0.48). The present work is among the first providing comprehensive quantitative analysis on the gravity of the misinformation problem in an Eastern European country with a pioneering intervention attempt that can be appropriate to a context where misinformation appears regularly in the mainstream media.
Discount Puzzle of Closed-End Mutual Funds: A Case of Bangladesh
Authors: Rahman Farhana 
Published: October 2022

Abstract
The paper intends to perform a relevant study on the closed-end fund puzzle in the perspective of an emerging market. Quarterly data of 36 closed-end mutual funds traded in Dhaka Stock Exchange are collected over the sample period of 2016 to 2019. Dependent and independent variables are mapped down by exploring previous researches. Weight of top 10 investments, fund size, fund age, fund maturity, turnover and dividend yield are taken as explanatory variable to analyze the impact on CEF discount. A fixed effects panel regression is performed on the data set with few diagnostic tests to ensure the reliability of the analysis conducted. The results show that, the variable fund size and fund maturity have a significant positive and turnover has a significant negative impact on CEF discount while the impact of weight of top 10 investments, dividend yield and fund age are found insignificant.
Privacy Preservation Linear Regression Scheme with Applications
Authors: Shen Eric Z. 
Published: October 2022

Abstract
Linear regression is a basic and widely used machine learning algorithm, and the training of linear regression models usually depends on a large amount of data, but in reality, the data sets are usually held by different users and contain users' privacy information, so when multiple users want to pool a large amount of data to train a better model, it will inevitably involve users' privacy. Homomorphic encryption, as a privacy protection technique, can effectively solve the privacy leakage problem in computing. A new privacy-preserving linear regression scheme based on a hybrid iterative approach is designed for the scenario where the data set is horizontally distributed over two users, combined with the CKKS homomorphic encryption technique. In the second phase, a secure two-sided fast descent protocol is designed, which is based on the Jacobi iterative algorithm and can effectively compensate for the ineffectiveness of the gradient descent method in practical applications and speed up the collection of the model, thus reducing the computational cost and communication loss of the scheme. This reduces the computational cost and communication loss of the scheme, and protects the data privacy of both users while training the linear regression model efficiently. The efficiency, communication loss, and security of the scheme are analyzed, and the scheme is implemented in C++ and applied to real data sets. Extensive experimental results show that this scheme can efficiently solve linear regression problems with large feature sizes, and the relative error of the decidable coefficients is less than 0.001, which indicates that the obtained privacy-preserving linear regression model is close to the model obtained directly on the plaintext data in real data sets, and can meet the practical application requirements in specific scenarios.
Brain MRI Technics Images Translation by Generative Adversarial Network
Authors: Kalejahi Behnam Kiani , Meshgini Saeed , Danishvar Sebelan 
Published: October 2022

Abstract
One of the most critical problems in medical imaging is having high-quality data on healthy and sick patients. Also, gathering and creating a useful dataset is very time-consuming and is not always cost-effective. Machine learning methods are the newest methods in image processing, especially in medical image processing for classification, segmentation, and translation. GAN (Generative Adversarial Networks) is a class of machine learning frameworks that we consider a solution to image-to-image translation problems and augmentation. One of GAN's applications is generating more realistic data for training and validation to improve the performance of the algorithm and evaluation. In this paper, we propose a high-quality image-to-image translation framework based on CycleGAN in a paired and unpaired model of translation from T1 (or T2) to T2 (or T1) weighted MRI (Magnetic Resonance Imaging) of brain images. For evaluation, we used a dataset that consisted of T1 and T2 images acquired using the 3D structural MRI modality in four training and testing categories, which included 1113 structural MRI scans of large amounts of neuroimaging data.
Spatiotemporal changes of soil and water loss (2012–2019) in three government-divided regions, Chongqing Municipality, China
Authors: Zhang Yi , Lu Yang , Shi Jinsong , Gan Xiaoqing , Yan Jianmei 
Published: October 2022

AbstractUnderstanding the changes in soil and water loss is important to make the regional sustainable development strategies for administrative department. This study compiled a series of datasets from 2012 to 2019 at the county scale to investigate the changes in soil and water loss in three government divided regions, i.e., urban region (UR), northeast region (NER) and southeast region (SER) in Chongqing Municipality, China. The area percentage of soil and water loss over moderate degree (OMD) in each year and change rate for the area of soil and water loss (CR) on the basis in 2012 for each region were compared. The area of soil and water loss decreased by 22.3%, 18.7% and 14.2% in the UR, NER and SER, respectively, from 2012 to 2019. The area of soil and water loss in NER almost accounted for 50% of the total area of soil and water loss in Chongqing City. The OMD decreased from 66.06% in 2012 to 24.84% in 2019. The CR always presented significantly declined trend (P &lt; 0.05) with the year in the UR, NER and SER, respectively. Our results are valuable to developing reasonable conservation strategies for the local government to control soil and water loss.
Abdülhak Molla ve Tıbbîye’de çiçek aşısı uygulamasının başlangıcı
Authors: KARA Mahmut Alpertunga 
Published: October 2022

Amaç: Hekimbaşı Abdülhak Molla’nın Türk tıbbının modernleşmesine katkıları ve Tıbbîye’de çiçek aşısı uygulamasının başlangıcı incelenmiştir.Yöntemler: Döneme ait temel kaynaklar ve konuyla ilgili monografiler taranarak karşılıklı okuma yapılmıştır.Bulgular: Abdülhak Molla Türkiye’nin modernleşme yönünde kritik bir dönüşüm yaşadığı yıllarda üst seviyede görevlerde bulunmuştur. Şahsi özellikleri yanında çevresi ve özellikle Mustafa Behçet Efendi’nin kardeşi olması Molla’nın faaliyetlerinde rol oynamıştır. İki kardeş birbirini takip eden görevleri ve ortak vizyonları ile hem tıp eğitiminin hem de sağlık hizmetlerinin modernleşmesinde öncü bir kurum olan Tıbbîye’nin kuruluşunda rol oynamışlardır. Çiçek aşısı uygulamasının başlaması bu dönemde yaşanan dönüşümün sonuçlarını örneklendirmektedir.Sonuç: Abdülhak Molla görev aldığı dönüşüm sürecinde modernleşme vizyonunu sürdürerek Türk tıbbına katkıda bulunmuştur.
p-Coumaric Acid: A Naturally Occurring Chemical with Potential Therapeutic
Applications
Authors: Kaur Jasleen , Kaur Ramandeep 
Published: October 2022

Abstract:
Coumaric acid is a hydroxy derivative of cinnamic acid with three different isomers
(ortho, meta and para). Its most commonly available form is p-coumaric acid. p-Coumaric acid
i.e., 4-hydroxycinnamic acid is a potent phenolic compound found to exist naturally in various
plants, cereals, fruits and vegetables. It is one of the major constituent compounds of phenolic
polymer lignin in lignocellulosic materials. Various natural and synthetic derivatives of pcoumaric
acid have been reported in the literature. Different extraction methods including
conventional methods such as solvent extraction, acidification, alkaline extraction etc. and
recent approaches such as the clip-off method, sugaring out method, soft microwave extraction
etc. for its qualitative and quantitative determination in various plant materials have been investigated
by various researchers. This paper has discussed the synthesis of various derivatives
of p-coumaric acid such as amides, esters, aldehydes, polymers, and copolymers. p-Coumaric acid and its derivatives
have been found to possess different bioactive properties such as antioxidant, antimicrobial, anticancer, antiarthritic,
anti-inflammatory, gout prevention, anti-diabetic, anti-melanogenic, skin regeneration, gastroprotective,
anti-ulcer, cardioprotective, hepatoprotective, reno-protective, bone formation, anti-angiogenic and anti-platelet etc.
Owing to this huge bioactive potential, p-coumaric acid could be incorporated in edible food products, pharmaceutical
products, cosmetics, etc. More studies are required to evaluate their compatability in these products. To the
best of our knowledge, this is the first review discussing natural occurrence, extraction, natural derivatives, synthesis
of various derivatives and therapeutic applications of p-coumaric acid.
Microneedles: A Versatile Drug Delivery Carrier for Phytobioactive
Compounds as a Therapeutic Modulator for Targeting Mitochondrial
Dysfunction in the Management of Neurodegenerative Diseases
Authors: Bandiwadekar Akshay , Khot Kartik Bhairu , Gopan Gopika , Jose Jobin 
Published: October 2022

Abstract:
Neurodegenerative disease (ND) is the fourth leading cause of death worldwide, with limited
symptomatic therapies. Mitochondrial dysfunction is a major risk factor in the progression of ND,
and it-increases the generation of reactive oxygen species (ROS). Overexposure to these ROS induces
apoptotic changes leading to neuronal cell death. Many studies have shown the prominent effect of
phytobioactive compounds in managing mitochondrial dysfunctions associated with ND, mainly due
to their antioxidant properties. The drug delivery to the brain is limited due to the presence of the
blood-brain barrier (BBB), but effective drug concentration needs to reach the brain for the therapeutic
action. Therefore, developing safe and effective strategies to enhance drug entry in the brain is required
to establish ND's treatment. The microneedle-based drug delivery system is one of the effective
non-invasive techniques for drug delivery through the transdermal route. Microneedles are micronsized
drug delivery needles that are self-administrable. It can penetrate through the stratum corneum
skin layer without hitting pain receptors, allowing the phytobioactive compounds to be released directly
into systemic circulation in a controlled manner. With all of the principles mentioned above, this review
discusses microneedles as a versatile drug delivery carrier for the phytoactive compounds as a
therapeutic potentiating agent for targeting mitochondrial dysfunction for the management of ND.
Prevalence and Predictors of Albuminuria in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study from the United Arab Emirates
Authors: Hassan Almukhattin Moza Saleh , Abdulsalim Suhaj , Shareef Alawadhi Suhaila Mohammed , Biag Mirza R. , M Sonal Sekhar , Abdulkader Noufal 
Published: October 2022

Background and aim:
Albuminuria in Diabetes mellitus (DM) patients may lead to nephropathy and end-stage renal disease. Our study aimed to assess the prevalence of albuminuria and its associated predictors among type 2 DM patients in the United Arab Emirates.

Methods:
A retrospective cross-sectional study was conducted among type 2 DM patients in the diabetic clinic, Fujairah Hospital from 1st January 2016 to 30th January 2020 after getting the ethical clearance. Data were collected electronically from the health information system and analyzed using SPSS version 26. Regression analysis and ANOVA were used for inferential analysis. A P-value of ≤0.05 has been considered significant.

Results:
Among the 200 patients included in the study, the mean age of the study population was 56 years and the majority of them were females (71%). The prevalence of albuminuria was found to be 44%. By using regression analysis, glycated hemoglobin (HbA1c; P=0.038) and systolic blood pressure (SBP; P=0.003) were found to be predictors of albuminuria. One way ANOVA revealed that there were significant associations between the albumin levels and HbA1c (P=0.004), SBP (P= 0.002), diastolic blood pressure (DBP; P=0.028), serum creatinine (Scr) (P=0.039), and glomerular filtration rate (GFR; P=0.013).

Conclusion:
To the best of our knowledge, this is the first study from Fujairah emirate that explored the prevalence and predictors of albuminuria in type 2 DM patients. We found a high prevalence of albuminuria among type 2 DM patients. HbA1c and SBP were directly contributing to albuminuria. To improve glycemic control, patients need to improve physical activity, reduce overweight and, adherence to medications that improve overall therapeutic outcome.
Nutritional and Phytochemical Changes During Ripening in Mango:
A Review
Authors: Avinashe Harshal , Ghosh Sreejaya , Dubey Nidhi 
Published: October 2022

Background:
The mango (Mangifera indica L.) is now widely recognised as one of
the best available fruits and “the king of fruits”. It has been cultivated in the Indian subcontinent
for well over 4000 years now. It has been recognized for its mesmerizing taste and captivating
flavour. It is not only known for sensory qualities but also for enriching nutritive value. The ripening
process brings about remarkable changes in mango's nutritional and phytochemical composition.
These changes make ripe mango preferable over its unripe form.

Conclusion:
Mango fruit has been cultivated for its nutritional value for years, and it is now included
in the human diet as a source of carbohydrates, vitamins (especially vitamin A and vitamin
C), β-carotene, and minerals. In recent years, researchers have been more interested in mango
phytochemicals. New bioactive compounds with anti-inflammatory characteristics have been
discovered. Physiological and metabolic changes occur during mango ripening. An overview of
the nutritional and phytochemical properties of mangoes will be provided.
Modeling of the Acute Lymphoblastic Leukemia Detection by Convolutional
Neural Networks (CNNs)
Authors: Albeeshi Annal A. , Alshanbari Hanan S. 
Published: October 2022

Background:
The techniques differed in many of the literature on the detection of Acute
Lymphocytic Leukemia from the blood smear pictures, as the cases of infection in the world and the
Kingdom of Saudi Arabia were increasing and the causes of this disease were not known, especially
for children, which is a serious and fatal disease.

Objective:
Through this work we seek to contribute to discover the blood cells affected by Acute Lymphocytic
Leukem and to find an effective and fast method and to have the correct diagnosis as the time
factor is important in the diagnosis and the initiation of treatment. which is based on one of the deep
learning techniques that specialize in very deep networks, the use of one of the CNNs is VGG16.

Methods:
Detection scheme is implemented by pre-processing, feature extraction, model building, fine
tuning method, classification are executed. By using VGG16 pre-trained, and using SVM and MLP
classification algorithms in Machine Learning.

Results:
Our results are evaluated based on criteria, such as Accuracy, Precision, Recall, and F1-Score.
The accuracy results for SVM classifier MLP of 77% accuracy at 0.001 learning rate and the accuracy
for SVM classifier 75% at 0.005 learning rate. Whereas, the best accuracy result for VGG16 model
was 92.27% at 0.003 learning rate. The best validation accuracy result was 85.62% at 0.001 learning
rate.
Efficacy and Safety of Thrombolysis in COVID-19 Related ARDS
Authors: Goyal Abhishek , Niwariya Yogesh , Pawar Neeraj , Khurana Alkesh , Chaudhary Poonam 
Published: October 2022

Introduction:
COVID19 causes significant pulmonary microthrombi in some individuals, which can lead to ARDS and death. Thrombolysis could be an effective approach in some patients with severe ARDS. We describe our experience with usage of thrombolytic agents in COVID19 critically ill patients, who were in worsening respiratory failure.

Methods:
Retrospective chart analysis was done in patients who were thrombolysed between May 2020- Sept 2020. Analysis was done to find out factors associated with improvement in oxygenation and survival.

Results:
Twenty seven patients with severe ARDS [all had respiratory rate >30, FiO2 >0.6(on NIV/HFNC) and PiO2/FiO2 ratio<120] were thrombolysed in our ICU for COVID19 causes. C.T. Pulmonary Angiography could not be done in any of the 27 patients due to poor general condition, but 2D echo was normal in most (5 had dilated RA,RV) and none of the patients was in shock. So there was no conventional indication of thrombolysis in these patients, yet after thrombolysis, we saw dramatic changes in oxygenation (defined by decrease in FiO2 by ≥0.2) in twenty patients. Five patients had major bleed. Eleven patients survived (survival rate of 40.7%) and survival rate was high { 66% (8/12)} in patients who were thrombolysed within 2 days of oxygen requirement.

Conclusion:
In this unprecedented pandemic with high mortality rates, efficacy of early thrombolysis needs to be further explored in randomised controlled trials.
Mass Screening of SARS-CoV-2 With Rapid Antigen Tests in a Receding Omicron Wave: Population-Based Survey for Epidemiologic Evaluation
Authors: Kwan Tsz Ho , Wong Ngai Sze , Chan Chin Pok , Yeoh Eng Kiong , Wong Samuel Yeung-shan , Lee Shui Shan 
Published: October 2022

Background
The COVID-19 Omicron BA.2 epidemic wave in Hong Kong peaked in the first quarter of 2022. Following the implementation of stringent public health measures, the daily number of reported cases fell from over 50,000 to below 2000. Although outbreaks steadily receded, the government rolled out a 3-day “voluntary universal rapid testing” campaign to invite all citizens to self-perform a rapid antigen test (RAT) daily to identify undetected prevalent infections.

Objective
This study aimed to evaluate the uptake and results of RAT mass screening to estimate the population’s residual epidemic burden and assess the risk of further transmission.

Methods
A cross-sectional study comprising an open web-based population-based survey was conducted a week after the RAT campaign. Participants were asked to report their COVID-19 vaccination and infection history and the RAT performance and test result during the period. They were also invited to report their coliving individuals’ test performance and results. Reasons for nonuptake were enquired. Testing and positive rates were age-adjusted. Determinants of undergoing RAT were identified using univariable and multivariable logistic regression models.

Results
In total, particulars from 21,769 individuals were reported by 8338 participants. The overall age-adjusted testing rate was 74.94% (95% CI 73.71%-76.18%), with over 80% of participants in the age groups between 45-84 years having self-performed RAT during the campaign period. After age-adjustment, 1.03% (95% CI 0.86%-1.21%) of participants tested positive. The positive rates in the age groups between 20-29 years and >84 years exceeded 2%. Taking into account the positive rate and 5819 reported cases during the period, the cases identified in the campaign might account for 7.65% (95% CI 6.47%-9.14%) of all infections. Testers were more likely to be female, older, not previously diagnosed with COVID-19, and have received COVID-19 vaccination. Adjusting for the number of household members, those living with a child aged <12 years and whose household members were also tested were more likely to have self-performed an RAT. Main reasons for not performing an RAT included the absence of symptoms (598/1108, 53.97%), disbelief of the appropriateness of the campaign as an antiepidemic measure (355/1108, 32.04%), and a recent COVID-19 diagnosis (332/1108, 29.96%).

Conclusions
The residual population burden remained substantial in spite of the clear evidence of a receding epidemic wave. Despite caution in generalization to the Hong Kong population, the high participation rate in mass screening indicated that the voluntary RAT was well accepted, making it a feasible option for implementation as a complementary means of public health surveillance.
Una mirada al patrimonio cartaginés. La Casa Jiménez Sancho
Authors: Durán-Rodríguez María Marta 
Published: October 2022

Este documento brinda el resultado de las acciones desarrolladas por la Comisión Pro-restauración Casa Jiménez Sancho en el período 2011-2019 en aras de visibilizar la importancia del inmueble, su funcionalidad y recomendaciones de utilización. Se documentan las cuatro fases del proceso de restauración y su condición actual. La información se recopiló mediante fuentes documentales, entrevistas, fotografías cedidas por integrantes de la familia, de la comunidad cartaginesa y propias, sesiones de trabajo de la comisión establecida y con personas expertas, además del seguimiento presencial, constante y cercano de las diferentes etapas de la intervención realizada al inmueble. Se logra contextualizar la casa, su historia y sus habitantes, lo que permite dimensionar no solo su valor cultural, patrimonial y arquitectónico, sino también su posicionamiento en el imaginario cartaginés.
MASLAHAH AL-MURSALAH: AN ALTERNATIVE APPROACH TO LEGAL DEVELOPMENT OF INDONESIA LAW LABOR SYSTEM
Authors: Fakhrudin Ali , Gunarto Gunarto , Khisni Akhmad 
Published: October 2022

This study aims to offer an alternative approach to the implementation of the labor law system in Indonesia. With the approach of Islamic law and socio-legal research as its basic tools for analyzing the implementation of various labor law regulations, the results of the study show; first, various labor problems that arise at this time are caused by, among others, there is no common understanding yet on the concept of equal relationship between workers and employers, the lack of government political will in enforcing the rules, the low skills of labor, uncertainty of market mechanisms, uneven distribution of the worker, and the presence of foreign workers; second, the implementation of the labor system is still far away from the concept of fiqh ijarah; and third, the lack of work spirituality.