bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transportation Mobility During COVID-19: A Systematic Review and Bibliometric Analysis
Authors: Basunia Aditya , Muttaqi Azwad , Bhuiyan Md. Rifat Hossain , Badhon Farhan Anjum 
Published: May 2024

Abstract

The COVID-19 pandemic has tremendously affected global transportation mobility, presenting unprecedented challenges to transportation management. The ridership of public transit and ride-halling services reduced drastically which transcended the inclination towards private vehicles. Furthermore, the pandemic drastically affected the travel pattern and transportation mobility of individuals due to the implication of various COVID-19 protocols. Despite majority of research gravitating towards traffic demand and mode choice modeling, the logical reasoning, and behavioral changes associated to the findings were sporadically studied. This study conducted a comprehensive review of 96 academic papers from reputable journals spanning January 1, 2020, to December 31, 2022, focusing on small-distance mobility in developed, developing, and underdeveloped nations utilizing the Scopus database. The review identified three major themes: “Impact on Ride-Hailing Services,” “Impact on Mode Preference,” and “Impact on Trip Purpose.” Each theme was subdivided based on keywords and key findings extracted using VOSviewer. The study revealed that the pandemic significantly affected ride-hailing services, leading to changes in demand, usage, service, and safety measures. Mode preference saw a shift towards private vehicles due to safety concerns. The study underscores the long-term implications of the pandemic, emphasizing recovery strategies for ride-hailing services and mode preferences post-pandemic. It highlights the need for sustainable transportation policies, advocating for enhanced public transportation systems, promotion of active travel modes, and addressing socioeconomic disparities in mobility patterns. Ultimately, the findings illuminate the paradigm shift in travel behavior, mode choices, and trip purposes, emphasizing the imperative for resilient transportation strategies in the face of future disruptions.
ClassDiagGen Tool: Fine-Tuning the GPT-3 Model for Auto- mated Class Diagram Generation from Textual Descriptions
Authors: Altawaiha Iyad , Al-Hgaish Areen 
Published: May 2024

Abstract

In the continually evolving realm of software engineering, the advent of Artificial Intelligence (AI) and its implications for automating traditionally laborious tasks has been of paramount interest. This study employs the GPT-3 model, a transformative AI architecture, in automating the extraction of class diagram elements from textual software requirements - a critical yet often complex task in object-oriented programming. GPT-3 was equipped to execute this task proficiently through model fine-tuning using tailored case studies. Our approach emphasized the few-shot learning technique, a proven effective method in enhancing the model's proficiency in specialized tasks. The developed tool, ClassDiagGen, was subjected to thorough testing and evaluation, showcasing exemplary performance with average precision and recall scores of 98.6% and 93.3%, respectively. Our findings underscore the profound potential of AI, particularly the GPT-3 model, in streamlining software development processes while highlighting the importance of customized model training. This study marks the beginning of an exciting journey, with the software engineering landscape poised for further transformative changes through AI integration.
Association between maternal genitourinary infections and the risk of attention deficit hyperactivity disorder and autism spectrum disorder in children according to a systematic review
Authors: Isaeva P. S. , Murshudli M. R. , Strukova A. V. , Zabrodin N. A. , Petelin D. S. 
Published: May 2024

Introduction. Autism spectrum disorders and attention deficit hyperactivity disorder are among the most significant and widespread mental disorders that manifest in childhood and adolescence. Their etiology and pathogenesis have not been studied enough and most likely a complex of factors leads to their formation. Among other things, data are accumulating on the role of various hazards and diseases of the mother, which increase the risk of neuropsychiatric disorders in offspring. These include genitourinary infections, whose contribution to the development of autism spectrum disorders and attention deficit hyperactivity disorder has not yet been systematically studied.Aim. To establish the contribution of maternal genitourinary infections to the formation of autism spectrum disorders and attention deficit hyperactivity disorder in children.Materials and methods. An electronic search was conducted in the Scopus and Pubmed databases to obtain relevant literature by August 2022. The search strategy included a combination of keywords and MESH terms: urogenital infections, and autism, and autism spectrum disorders, and attention deficit hyperactivity disorder, and maternal infections.Results. On this topic 10 papers have been identified in the available literature – 6 on autism spectrum disorders and 4 on attention deficit hyperactivity disorder. In all the papers on attention deficit hyperactivity disorder included in the analysis, an association between genitourinary infections and neuropsychiatric disorders was revealed. In the case of autism spectrum disorders, the data obtained were more contradictory. The heterogeneity of the available data (different designs, different deficits and approaches to the diagnosis of genitourinary infections) did not allow for a meta-analysis.Conclusions. Genitourinary infections play a pathogenetic role in the formation of attention deficit hyperactivity disorder, while the effect of genitourinary infections on the development of autism spectrum disorders seems less unambiguous. It is necessary to continue work in this area with a more unified design to form practical recommendations for the prevention of neuropsychiatric disorders.
Impact of downstream obstructions on ogee weir efficiency: a regression analysis
Authors: S. M. Shravan Kumar , Patil Chidanand , Yadav Anamika , Bukke Lavanya , Reddy R. Laxmana , Sakare Praveen Kumar 
Published: May 2024

ABSTRACT

This study delves into the impact of downstream obstruction angles on the discharge coefficient (Cd) over ogee weirs within open channel flows, a critical factor for accurate flow rate predictions in hydraulic engineering. Employing a series of detailed laboratory experiments, the influence of various obstruction angles on Cd was scrutinized applying a suite of regression analysis to develop predictive models. The analysis was enriched by considering hydraulic parameters such as flow rate, water level, and weir geometry. Despite the established importance of Cd in hydraulic designs the nuanced effects of downstream obstructions have received limited attention, highlighting a critical research gap. The findings highlight a strong correlation between obstruction angles and Cd, with developed regression models demonstrating notable predictive strength. Remarkably the models exhibited varying levels of accuracy, with the Random Forest regressor achieving an exceptionally low root mean square error (RMSE) of 0.005, indicating superior predictive performance. Conversely, traditional models like Decision tree and XG BOOST reflected higher RMSE values of 0.60, suggesting less predictive accuracy in this context. LASSO, Bayesian Ridge, and OMP regressors stood out with an RMSE of zero, denoting perfect predictions under the study's specific conditions.
miRNAs Influence m6A RNA Methylation through FTO and IGF2BP2 in
Pressure Overload-Induced Heart Failure
Authors: Wang Yuanqi , Xu Linghao , Tapu Md Sakibur Rahman , Jiao Tiantian , Lin Xueqi , Song Wei , Wang Liang , Nie Lindong , Cheng Jing , Xing Lijian , Zhang Qi , Li Jiming 
Published: May 2024

Background:
N6-adenosine methylation (m6A) is a prevalent RNA modification associated with heart failure, alongside aberrant miRNA expression. Despite indications of miRNAs
regulating m6A modification, their specific influence on m6A in heart failure remains unclear.

Methods:
The initial analysis utilized transcriptome and methylation sequencing data from
GSE131296 in mice to identify key m6A methylation enzymes in heart failure and construct an
associated network. Integration of miRNA sequencing data from GSE231700 revealed miRNAs
influencing m6A methylation enzymes, contributing to the formation of a comprehensive network. Furthermore, differential miRNA levels in human serum were assessed via qPCR, and the
expression of m6A methyltransferases in the heart was confirmed using proteomic databases.

Results:
In pressure overload-induced heart failure mice, 217 mRNAs showed differential expression, with FTO and IGF2BP2 identified as m6A methylation enzymes. Subsequent methylation sequencing revealed 884 highly-methylated and 178 lowly-methylated peaks, establishing a
network linking Fto and Igf2bp2 with these peaks. Additionally, miRNA sequencing identified
156 differentially expressed miRNAs, including let-7b-5p and miR-23b-3p, predicted as m6Aregulating miRNAs, both elevated in heart failure patients.

Conclusion:
miR-23b-3p and let-7b-5p are identified as potential regulators of RNA methylation in heart failure, acting via FTO and IGF2BP2, offering new insights into the role of miRNA-mediated RNA methylation and its potential therapeutic avenues for heart failure.
Panax ginseng Ameliorates Pituitary-ovarian Dysfunction Induced by Radiofrequency Electromagnetic Radiation from Cell Phones via Upregulation of the CREM Signaling Pathway
Authors: Oyewopo Oyetunji A. , Badejogbin Olabimpe C. , Ajadi Isaac O. , Enye Linus A. , Ajadi Mary B. , Ebuwa Ikponmwosa V. , Owolabi Olutunmise V. , Areloegbe Stephanie E. , Olaniyi Kehinde S. 
Published: May 2024

Background:
Panax ginseng (PG) is a plant that contains ginsenosides, which are considered
adaptogens that confer cellular protection. However, the impact of PG on pituitary-ovarian dysfunction
and subsequent infertility is unknown. This study investigated the hypothesis that PG would
attenuate pituitary-ovarian dysfunction associated with mobile phone’s Radiofrequency Electromagnetic
Radiation (RF-EMR) in experimental rat models and the possible involvement of a cAMP Response
Element Modulator (CREM)-dependent pathway.

Methods:
Twenty adult female Wistar rats were divided randomly into four groups, each consisting
of five rats. The control group was administered a vehicle (distilled water) orally, while the P. ginseng
group received 200 mg/kg of P. ginseng extract orally. The RF-EMR group was exposed to 900MHz
radiation, and the RF-EMR + PG group was exposed to the same radiation while also being treated
with 200 mg/kg of P. ginseng orally. These treatments were administered daily for a period of 56
days.

Results:
The RF-EMR group exhibited significant reductions in serum levels of LH, FSH, estradiol,
and progesterone compared to the control group. Moreover, levels of superoxide dismutase (SOD)
and glutathione peroxidase (GPx) were significantly lower in the RF-EMR group compared to the
control. Additionally, there was a notable decrease in the expression of the CREM gene, accompanied
by disrupted pituitary/ovarian morphology in the RF-EMR group compared to the control. However,
the administration of PG mitigated these changes.

Conclusion:
The findings of this study indicate that P. ginseng extract shields against pituitary-ovarian
impairment linked to RF-EMR exposure from cell phones by boosting antioxidant capacity and
promoting the CREM-dependent pathway.
Analysis of Ileal Atresia from Prenatal Ultrasound to Postoperative Follow-up:
Two Case Reports
Authors: Lv Zimeng , Qu Hongyi , Hu Jingyuan , Dong Yue , Liu Wei 
Published: May 2024

Background::
Congenital ileal atresia is a rare neonatal disease, the most common type of intestinal malformation in newborns, and one of the most common
causes of congenital intestinal obstruction. It can cause various digestive system symptoms, including abdominal distension, vomiting, abnormal
bowel movements, etc. In severe cases, it can be life-threatening. A prenatal ultrasound examination can assist clinical diagnosis of congenital ileal
atresia, and those with a clear prenatal diagnosis should undergo surgical treatment after birth.

Case Presentation::
We have, herein, reported two cases of congenital ileal atresia, both of which showed fetal intestinal dilation (>7mm) and excessive amniotic fluid
on prenatal ultrasound. Both newborns underwent surgical treatment after delivery and were confirmed to have congenital ileal atresia during
surgery. Due to the different prenatal ultrasound manifestations of the two patients, they were divided into two different subtypes based on
intraoperative manifestations. We observed significant differences in the prognosis of the two patients after surgery

Conclusion::
Accurately locating and classifying ileal atresia using prenatal ultrasound is challenging; however, it plays an effective role in disease progression,
gestational assessment, and prognosis. Accurately identifying intestinal diseases and/or the location of lesion sites through direct and indirect
ultrasound findings in the fetal abdominal cavity is an important research direction for prenatal ultrasound.
Effect of Diosmin on Pharmacokinetics and Pharmacodynamics of
Rivaroxaban in Rats
Authors: Wang Siwen , Cui Mingyu , Wu Fan , Yu Chao , Sui Yue , Yan Xueying , Gai Yingli 
Published: May 2024

Background and Objective:
Rivaroxaban, a direct oral anticoagulant, has become the
first-line therapy medicine to prevent and treat Venous Thromboembolism (VTE). Patients with femoropopliteal
venous thrombosis may use rivaroxaban along with diosmin. Rivaroxaban is the
substrate of CYP3A4 and P-glycoprotein (P-gp), but diosmin is the inhibitor. The combination
might lead to Drug-drug Interaction (DDI). The aim of this study was to assess the effect of diosmin
on the pharmacokinetics and pharmacodynamics of rivaroxaban in rats.

Methods:
Plasma concentration of rivaroxaban in the absence or presence of diosmin groups was
determined by High-performance Liquid Chromatography (HPLC). Pharmacokinetics parameters
were calculated and used to evaluate pharmacokinetics interactions. Anticoagulation was investigated
by Prothrombin Time (PT), International Normalized Ratio (INR), and Activated Partial
Thromboplastin Time (APTT). Antithrombotic efficacy was investigated by the length of tail
thrombosis, the content levels of Interleukin-1β (IL-1β) and D-dimer (D-D) in rats, and histopathological
sections in the tail thrombosis model.

Results:
Maximum concentration (Cmax), 0-t Area Under the Curve (AUC0–t), 0-∞ Area Under the
Curve (AUC0–∞) of rivaroxaban increased significantly in the combination group. PT, INR, and
APPT in the combination group exhibited an increase compared to the Rivaroxaban group. Simultaneously,
the length of tail thrombosis and levels of IL-1β and D-D were significantly reduced.
Significant improvement of tissue histology in tail thrombosis could be observed.

Conclusion:
Taken together, diosmin could significantly affect the pharmacokinetics and pharmacodynamics
of rivaroxaban, and enhance anticoagulant and antithrombotic efficacy in rats. More
attention should be paid to avoid harmful DDI in the clinic.
Diabulimia and Type 1 Diabetes: An Unknown and Emerging Problem
Authors: Rivolta Benedetta , Masserini Benedetta , Bernardi Irene , Camera Antonella , Liboà Federico , Solerte Sebastiano Bruno , Cerabolini Chiara , Cerutti Nadia 
Published: May 2024

Background::
T1DM patients have a higher prevalence of eating disorders than the
general population, and up to 30-40% of young T1DM patients suffer from an eating disorder,
including diabulimia. Eating disorders worsen glycemic control and make insulin therapy management
more difficult. Closed loop systems (HCLS) allow major therapeutic flexibility; however,
proper carbohydrate (CHO) counting remains a fundamental feature for insulin dose adjustments.

Case Report::
A 30-year-old female patient affected by T1DM (with a past medical history of
drug abuse and depressive syndrome) presented with inadequate glycemic control and prandial
boli management. She started a CHO counting course and had a HCLS positioned, with progressive
amelioration of glycemic control. During follow-up evaluations, HCLS data showed a
progressive reduction and abeyance of prandial boli; the patient also developped an excessive
fear of weight gain. An integrated approach between diabetologist, psychiatrist and dietitian
allowed a diagnosis of diabulimia, an eating disorder characterized by a progressive reduction
and elimination of carbohydrate ingestion and insulin boli, with episodes of uncontrolled binging
and purging. A multidisciplinary approach (fortnightly dietetic and psychiatric evaluations,
use of bioimpedance, fixed CHO content diet) allowed the patient to reach a better glycometabolic
control and disease consciousness.

Conclusion::
T1DM patients need to pay great attention to food quality and quantity; hence, an
eating disorder diagnosis may be challenging. Additionally, there are currently no standard
screening methods for this purpose. In our experience, an integrated approach is fundamental
and may be a valid strategy to face this emerging problem.
Artificial Intelligence for Detecting Periodontitis: Systematic Literature Review
Authors: Fidyawati Desy , Masulili Sri Lelyati C , Iskandar Hanna Bachtiar , Suhartanto Heru , Soeroso Yuniarti 
Published: May 2024

Background
The determination of the diagnosis of inflammatory periodontitis is generally based on clinical examination, which is then strengthened by radiographic examination. Still, the inequality of assessment of clinical conditions, along with limitations of radiographic interpretation, makes determining the diagnosis of the periodontal disease difficult. The use of artificial intelligence as a digital system approach is believed to reduce costs, time, the need for medical services, and medical errors that may occur due to human factors.

Objective
This systematic review study is to analyze the use of dental and panoramic radiographs combined with the use of artificial intelligence in establishing the diagnosis of periodontitis based on the parameters of periodontal disease severity according to the 2017 American Academy of Periodontology/European Federation of Periodontology Workshop (pocket depth, clinical attachment loss (CAL) and the pattern and level of alveolar bone damage that occurs).

Methods
Journal searches for articles published in English were carried out through the PubMed and Scopus databases in the 2011-2021 period, using the search terms periodontitis, periodontal disease, food impaction, trauma occlusion, periapical radiograph, panoramic, machine learning, artificial intelligence, and periodontal bone loss, after going through article selection, two suitable articles were obtained.

Results
Two studies fell into the analyzed category. Both list periodontal bone loss as a parameter that marks periodontitis, and the use of panoramic photos in detecting this parameter assisted by Convolutional Neural Networks as artificial intelligence.

Conclusion
The use of panoramic radiographs and Convolutional Neural Networks as artificial intelligence that serves as a tool to detect periodontal bone damage has almost the same results as experienced clinicians In order for this method to be developed in the future to help clinicians establish the diagnosis, more clinical and image data will be required.
Biological Efficacy of Ionizing Radiation Sources on 3D Organotypic Tissue Slices Assessed by Fluorescence Microscopy
Authors: Shestakova Victoria , Smirnova Anna , Yakimova Anna , Koryakin Sergey , Baranovskii Denis , Saburov Vyacheslav , Yatsenko Elena , Moiseev Alexander , Ivanov Sergey , Smirnova Ekaterina , Belkina Svetlana , Demyashkin Grigory , Komarova Lyudmila , Shegay Peter , Kaprin Andrey , Klabukov Ilya 
Published: May 2024

Objective:
Traditional cell-based radiobiological methods are inadequate for assessing the toxicity of ionizing radiation exposure in relation to the microstructure of the extracellular matrix. Organotypic tissue slices preserve the spatial organization observed in vivo,
making the tissue easily accessible for visualization and staining. This study aims to explore the
use of fluorescence microscopy of physiologically compatible 3D tissue cultures to assess the
effects of ionizing radiation.

Methods:
Organotypic tissue slices were obtained by vibratome, and their mechanical properties were studied. Slices were exposed by two ionizing radiation sources; electron beams (80 Gy
and 4 Gy), and soft gamma irradiation (80 Gy and 4 Gy). Two tissue culture protocols were
used: the standard (37°C), and hypothermic (30°C) conditions. A qualitative analysis of cell
viability in organotypic tissue slices was performed using fluorescent dyes and standard laser
confocal microscopy.

Results:
Biological dosimetry is represented by differentially stained 200-µm thick organotypic
tissue sections related to living and dead cells and cell metabolic activity

Conclusion:
Our results underscore the ability of fluorescence laser scanning confocal microscopy to rapidly assess the radiobiological effects of ionizing radiation in vitro on 3D organotypic tissue slices.
A Digital Image Method for Calculating the Working Chamber Volume of
a Combined Profile Scroll Compressor
Authors: Liao Zhixiang , Peng Bin , Zhang Pengcheng , Sun Jian , Zhu Bingguo 
Published: May 2024

Background:
The efficient and accurate calculation of working chamber volume can
greatly contribute to the optimized design efficiency of the combined profile scroll compressor, but
current papers and patents lack research on the method of calculating the working chamber volume
of a combined profile scroll compressor.

Objective:
A method of using digital image processing is proposed to efficiently calculate the working
chamber volume of a combined scroll compressor.

Methods:
This method discretizes and reconstructs the scroll profile that forms the working chamber
into a coordinate sequence with equal involute angle intervals. By calculating the relationship
between the coordinate sequence and the rotation angle, a general coordinate sequence that forms
the working chamber profile is obtained. The real-time changes in the projection image of the working
chamber during all the suction, compression and discharge processes can be accurately depicted.
The digital image is processed to obtain the actual projection area of the working chamber, and
thus, the volume of the working chamber is accurately calculated.

Results:
The digital image method can accurately calculate the volume change of the working
chamber of the combined profile scroll compressor by selecting the appropriate involute angle interval
and digital image size, with a mean relative error of less than 1%. At the beginning of suction
and the end of discharge, the calculated volume has been found to have poor accuracy, with a maximum
relative error higher than 10%.

Conclusion:
The digital image method has been found to have high accuracy, greatly reduce the
difficulty of the analysis of the working chamber volume, and promote the design optimization of
the combined profile scroll compressor, thus broadening the idea for the calculation method of the
working chamber volume of the scroll compressor.