bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prenatal Magnetic Resonance Imaging helps Discover Cerebellar Dysplasia or
Malformations in Foetuses
Authors: Yu Fei , Fu Le , Xu Chengjie , Wang Jue , Huang Xiaowei , Zhang Guofu , Zhang He 
Published: November 2023

Objective::
This study aimed to characterize and assess the diagnostic value of prenatal magnetic resonance (MR) imaging in detecting fetal cerebellar
hypoplasia/dysplasia and developmental malformations.

Methods::
Reports of suspected intracranial abnormalities were retrospectively collected on ultrasound screening (US), and MR images of fetuses were
reviewed at our institution over a 5-year period on picture archiving and communication system (PACS) servers. Two experienced radiologists
recorded major abnormalities and coexisting abnormalities at the reading of the census. The results of the MRI were compared against the US in
each case.

Results::
For prenatal MR imaging, we enlisted a total of 121 patients (mean gestational week, 24.5 ± 4.7 weeks). This included 28 cases with normal
findings of MR imaging, 62 cases with findings of cerebellar hypoplasia or dysplasia, and the remaining 31 cases with other abnormities findings.
Cerebral malformations cases included agenesis of the corpus callosum, cerebral hemorrhage, hydrocephalus, holoprosencephaly,
ventriculomegaly, and brainstem/gyri malformation. Cerebellar abnormalities included vermis absence, cerebellar tonsil hernia, Dandy-Walker
malformation, Blake’s pouch cysts, arachnoid cysts, and intracranial hemorrhage. Other systemic malformation cases included tethered cord
syndromes (9 cases), cleft lip and palate (1 case), club foot (1 case), and cardiac malformation (1 case). In 12 cases (24.5%), compared to the US,
MR imaging proved the value of confirming the diagnosis and/or even yielded more findings on abnormalities.

Conclusion::
Prenatal MR imaging can better visualize systemic malformations coexisting with cerebellar abnormalities. MR imaging, a complementary means
to the US, can aid in prenatal counseling and treatment selection for term delivery.
Prediction of DNA-binding Sites in Transcriptions Factor in Fur-like
Proteins Using Machine Learning and Molecular Descriptors
Authors: Muñoz Jessica Lara , Reyes-Suárez José Antonio , Besoain Felipe , Arenas-Salinas Mauricio 
Published: November 2023

Introduction:
Transcription factors are of great interest in biotechnology due to their key
role in the regulation of gene expression. One of the most important transcription factors in gramnegative
bacteria is Fur, a global regulator studied as a therapeutic target for the design of antibacterial
agents. Its DNA-binding domain, which contains a helix-turn-helix motif, is one of its most relevant
features.

Methods:
In this study, we evaluated several machine learning algorithms for the prediction of
DNA-binding sites based on proteins from the Fur superfamily and other helix-turn-helix transcription
factors, including Support-Vector Machines (SVM), Random Forest (RF), Decision Trees (DT),
and Naive Bayes (NB). We also tested the efficacy of using several molecular descriptors derived
from the amino acid sequence and the structure of the protein fragments that bind the DNA. A feature
selection procedure was employed to select fewer descriptors in each case by maintaining a
good classification performance.

Results:
The best results were obtained with the SVM model using twelve sequence-derived attributes
and the DT model using nine structure-derived features, achieving 82% and 76% accuracy, respectively.

Conclusion:
The performance obtained indicates that the descriptors we used are relevant for predicting
DNA-binding sites since they can discriminate between binding and non-binding regions of a
protein.
Cell Death Induced by the Combination of Ephedra sinica Extract and Radiation in
HNSCC is Positively Related to BAX and p-MLKL Expression
Authors: Woo Seon Rang , Noh Joo Kyung , Ahn Sun-Young , Lee Min Kyeong , Yu Hyeon Seo , Min Soonki , Kong Moonkyoo , Lee Jung Woo , Lee Young Chan , Ko Seong-Gyu , Eun Young-Gyu 
Published: November 2023

Background:
Numerous studies have proven the efficacy and safety of natural products, and are widely
used as attractive cancer treatments. The investigation of effective natural products for improving cancer
treatment is a promising strategy. Combination treatment with radiosensitizers and radiotherapy (RT) is considered
necessary for therapeutic improvement in head and neck squamous cell carcinoma(HNSCC).

Objective:
This study aims to investigate whether Ephedra sinica (ES) extract could induce selective cell death in
cancer cells and serve as a radiosensitizer for HNSCC.

Methods:
HNSCC cells were pretreated with ES extract before radiation, and the radiosensitizing activity was
assessed using a colony formation assay. Radiation-induced cell death was evaluated using an annexinV-FITC
assay. Western blotting was performed to confirm cell death-related gene expression, including apoptosis and
necrosis markers.

Results:
ES extract significantly inhibited HNSCC cell viability (FaDu and SNU1076), while having minimal
effect on normal HaCaT cells. When HNSCC cells were irradiated with 2, 4, or 8 Gy and cultured with ES extract
(25 μg/mL), they exhibited increased radiation sensitivity compared to non-treated cells. The combination of ES
extract and radiation resulted in increased cell death compared to non-treated, ES-treated, or irradiated cells. The
apoptosis marker BAX and necrosis marker p-MLKL expression levels were also elevated following the combination
treatment.

Conclusion:
ES extract demonstrated significant cytotoxic potential in HNSCC cells without affecting normal
cells. It enhanced the radiosensitivity of HNSCC cells by upregulating BAX and p-MLKL expression, leading to
increased cell death. These results suggest ES extract exhibits a potential radiosensitizing capacity in HNSCC.
Accuracy of Fasting Blood Glucose and Body Mass Index in Predicting
Gestational Diabetes Mellitus in China
Authors: Jiao Jing-Ru , Gao Ya-Na , Wang Ling-Chao , Wang Jing , Jia Wei-Jing , Xue Hui-Ling , Li Rui , Wu Hong-Li , Wang Mei-Mei 
Published: November 2023

Background::
Research suggests that lowering maternal morbidities associated with
gestational diabetes mellitus (GDM) can be achieved with earlier risk group identification.

Aims::
Therefore, the purpose of this study was to examine potential markers for identifying
first-trimester pregnant women who are at high risk for developing GDM.

Methods::
This was a retrospective cohort study. The pertinent maternal clinical data were retrieved
prior to 13+6 weeks of gestation, and a binary logistic regression analysis was used to
identify potential GDM predictors. The predictive accuracy was evaluated using the area below
the receiver operating characteristics curves.

Results::
In comparison to the control group, the GDM group had significantly higher mean values
for age, body mass index (BMI), mean fasting blood glucose (FBG), and hemoglobin (p <
0.05). The Pearson’s correlation coefficients indicated that the first-trimester FBG was significantly
positively correlated with the second-trimester FBG. Higher FBG and BMI values were
associated with an increased risk of developing GDM (odds ratio (OR) = 3.04, 95% confidence
interval [CI] = 2.03-4.55 and OR = 1.18, 95% CI = 1.12–1.25). In terms of predicting GDM, the
FBG parameter demonstrated the greatest area under the curve values (0.66), followed by the
BMI parameter (0.69). For GDM prediction, the cut-off value for FBG was 4.32 mM, whereas
that for BMI was 23.7 kg/m2.

Conclusions::
The first-trimester FBG and BMI could be utilized to predict gestational diabetes.
Study on Influencing Factors of Liquid Carbon Dioxide Blasting in Rock
Cutting
Authors: Li Jianwei , Zhang Guiwen , Liu Huadong , Zhang Shanglong , Cheng Xuansheng 
Published: November 2023

Background::
At present, although some scholars have studied liquid carbon dioxide
blasting, there are still some problems to be solved, such as the influencing factors of the liquid
carbon dioxide blasting effect. Based on the project of Jiu’e railway, this paper studies the influencing
factors of liquid carbon dioxide blasting in rock cutting.

Objective::
The study aims to show the influence of different blasting hole depths and jet directions
on the effect of liquid carbon dioxide blasting and fracture development.

Methods::
Considering the influence of jet direction and different blasting hole depth on liquid
carbon dioxide blasting in rock cutting, the fracture development law at different blasting hole
depths is analyzed, the stress characteristics of jet direction and non-jet direction are discussed,
and fracture development process is analyzed in detail from the viewpoint of energy. Moreover,
related patents on liquid carbon dioxide blasting devices are also reviewed. The research on law of
fracture development and optimal blasting hole depth is the highlight of this paper.

Results::
The influence of different blasting hole depths, jet directions on effect of liquid carbon
dioxide blasting and fracture development is analyzed, When the depth of blasting hole is 2.5 m,
the fractures can extend to bench surface but cannot extend to the bottom of the excavation surface.
When the hole depth is 5.0 m, the fractures cannot extend to the bench surface. The fractures
can be extended to the bottom of the excavation face and the bench surface when the blasting hole
depth is 4.0. Moreover, the liquid carbon dioxide blasting can effectively blast the rock cutting,
and the optimal blasting hole depth is 4m.

Conclusion::
Through the analysis results, considering the influencing factors of fracture number,
fracture length and consumption of blasting energy, a blasting hole depth of 4m is considered the
best option.
Design of a New 99mTc-radiolabeled Cyclo-peptide as Promising Molecular Imaging Agent of CXCR4 Receptor: Molecular Docking, Synthesis, Radiolabeling, and Biological Evaluation
Authors: Hassanzadeh Leila , Erfani Mostafa , Jokar Safura , Shariatpanahi Marjan 
Published: November 2023

Introduction:
C-X-C Chemokine receptor type 4 (CXCR4) is often overexpressed or
overactivated in different types and stages of cancer disease. Therefore, it is considered a promising
target for imaging and early detection of primary tumors and metastasis. In the present
research, a new cyclo-peptide radiolabelled with 99mTc, 99mTc-Cyclo [D-Phe-D-Tyr-Lys (HYNIC)-
D-Arg-2-Nal-Gly-Lys(iPr)], was designed based on the parental LY251029 peptide, as a
potential in vivo imaging agent of CXCR4-expressing tumors.

Methods:
The radioligand was successfully prepared using the method of Fmoc solid-phase
peptide synthesis and was evaluated in biological assessment. Molecular docking findings revealed
high affinity (binding energy of -9.7 kcal/mol) and effective interaction of Cyclo [D-Phe-
D-Tyr-Lys (HYNIC)-D-Arg-2-Nal-Gly-Lys(iPr)] in the binding pocket of CXCR4 receptor
(PDB code: 3OE0) as well. Result: The synthesized peptide and its purity were assessed by both
reversed-phase high-performance liquid chromatography (RP-HPLC) and mass spectroscopy.
High stability (95%, n = 3) in human serum and favorable affinity (Kd = 28.70 ± 13.56 nM and
Bmax = 1.896 ± 0.123 fmol/mg protein) in the B16-F10 cell line resulted. Biodistribution evaluation
findings and planar image interpretation of mice both showed high affinity and selectivity
of the radiotracer to the CXCR4 receptors.

Conclusion:
Therefore, the findings indicate this designed radioligand could be used as a potential
SPECT imaging agent in highly proliferated CXCR4 receptor tumors.
Punica granatum L. (Punicaceae): An Insight into Phytochemistry and Pharmacology
Authors: Labhade Sonali , Jadhav Pranali , Bhole Ritesh , Chitlange Sohan 
Published: November 2023

Abstract:
Punica granatum L. (Punicaceae) generally identified as pomegranate, seeded or
granular fruit, has been widely used for centuries in many cultures. P. granatum exhibits a wide
variety of medicinal activities, viz., anticancer, antioxidant, antimicrobial, anti-inflammatory,
etc. A variety of ethnomedical uses of P. granatum in several formulations, like powder, pulp,
decoction and extract on its own or in blend with additional herbs against various diseases, like
inflammation, skin disorders, cancer, microbial infections, and asthma, have been recorded. A
wide variety of phytochemicals, including polyphenols, terpenoids, fatty acids, sugars, amino
acids, tocopherols, sterols, alkaloids, amino acids, etc., have been isolated and identified from P.
granatum, amongst which punicalagin, the major polyphenolic component of pomegranate extract,
has been well thought of as the main effective component of plant. Thorough information
related to P. granatum was gathered using the keywords Punica granatum or pomegranate in
various computerized databases, including Pubmed, ACS, Science Direct, Google Scholar, WoS,
Springer Link, Sci Finder, and Wiley. All full-text articles and abstracts were reviewed. Additionally,
book chapters and monographs were also screened. The current study has highlighted
the botany, ethnopharmacology, phytochemical profile, pharmacological activity, and toxicological
studies of P. granatum. The ethnopharmacological importance of pomegranate has been discussed
in recent pharmacological studies, indicating its medicinal and nutritional benefits in varied
human disorders. Moreover, inquiries related to various facets of P. granatum relating to
safety, toxicity and quality control are yet unanswered. Additionally, the article has provided a
thorough knowledge of the herb, including its mechanism of action, structure activity relationships,
safety as well as toxicity, as reported in clinical studies.
Targeting the Main Sources of Reactive Oxygen Species Production:
Possible Therapeutic Implications in Chronic Pain
Authors: Cheng Peng-Fei , Yuan-He  , Ge Meng-Meng , Ye Da-Wei , Chen Jian-Ping , Wang Jin-Xi 
Published: November 2023

:
Humans have long been combating chronic pain. In clinical practice, opioids are first-
choice analgesics, but long-term use of these drugs can lead to serious adverse reactions. Finding new, safe and effective pain relievers that are useful treatments for chronic pain is an urgent medical need. Based on accumulating evidence from numerous studies, excess reactive oxygen species (ROS) contribute to the development and maintenance of chronic pain. Some antioxidants are potentially beneficial analgesics in the clinic, but ROS-dependent pathways are completely inhibited only by scavenging ROS directly targeting cellular or subcellular sites. Unfortunately, current antioxidant treatments donot achieve this effect. Furthermore, some antioxidants interfere with physiological redox signaling pathways and fail to reverse oxidative damage. Therefore, the key upstream processes and mechanisms of ROS production that lead to chronic pain in vivo must be identified to discover potential therapeutic targets related to the pathways that control ROS production in vivo. In this review, we summarize the sites and pathways involved in analgesia based on the three main mechanisms by which ROS are generated in vivo, discuss the preclinical evidence for the therapeutic potential of targeting these pathways in chronic pain, note the shortcomings of current research and highlight possible future research directions to provide new targets and evidence for the development of clinical analgesics.
Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy
Authors: Yoon Jeewoo , Han Jinyoung , Ko Junseo , Choi Seong , Park Ji In , Hwang Joon Seo , Han Jeong Mo , Hwang Daniel Duck-Jin 
Published: November 2023

Background
Although previous research has made substantial progress in developing high-performance artificial intelligence (AI)–based computer-aided diagnosis (AI-CAD) systems in various medical domains, little attention has been paid to developing and evaluating AI-CAD system in ophthalmology, particularly for diagnosing retinal diseases using optical coherence tomography (OCT) images.

Objective
This diagnostic study aimed to determine the usefulness of a proposed AI-CAD system in assisting ophthalmologists with the diagnosis of central serous chorioretinopathy (CSC), which is known to be difficult to diagnose, using OCT images.

Methods
For the training and evaluation of the proposed deep learning model, 1693 OCT images were collected and annotated. The data set included 929 and 764 cases of acute and chronic CSC, respectively. In total, 66 ophthalmologists (2 groups: 36 retina and 30 nonretina specialists) participated in the observer performance test. To evaluate the deep learning algorithm used in the proposed AI-CAD system, the training, validation, and test sets were split in an 8:1:1 ratio. Further, 100 randomly sampled OCT images from the test set were used for the observer performance test, and the participants were instructed to select a CSC subtype for each of these images. Each image was provided under different conditions: (1) without AI assistance, (2) with AI assistance with a probability score, and (3) with AI assistance with a probability score and visual evidence heatmap. The sensitivity, specificity, and area under the receiver operating characteristic curve were used to measure the diagnostic performance of the model and ophthalmologists.

Results
The proposed system achieved a high detection performance (99% of the area under the curve) for CSC, outperforming the 66 ophthalmologists who participated in the observer performance test. In both groups, ophthalmologists with the support of AI assistance with a probability score and visual evidence heatmap achieved the highest mean diagnostic performance compared with that of those subjected to other conditions (without AI assistance or with AI assistance with a probability score). Nonretina specialists achieved expert-level diagnostic performance with the support of the proposed AI-CAD system.

Conclusions
Our proposed AI-CAD system improved the diagnosis of CSC by ophthalmologists, which may support decision-making regarding retinal disease detection and alleviate the workload of ophthalmologists.
Intentions to Use "SIMPAN UGM" as a Cloud-Based Records Repository Service at Universitas Gadjah Mada
Authors: Setyawan Herman 
Published: November 2023

Abstract University students, lecturers, and staff have entered the digital age. All administrative activities, including recordkeeping, should be carried out digitally, that can be stored both online and offline. For this reason, Universitas Gadjah Mada (UGM) provides a free cloud repository, namely “Simpan UGM” for the UGM community. However, many students, lecturers, and staff do not use it. The purpose of this study was to determine the factors that influence the intention to use Simpan UGM at UGM. This study uses a mixed-method sequential explanatory design with three important stages, namely the quantitative, qualitative, and interpretation phases. Samples were determined randomly to students, lecturers, and staff related to records management, namely students and lecturers of the “Pengelolaan Arsip dan Rekaman Informasi Study Program” (PARI) as well as staff from members of the UGM Records Manager and Archivists Forum (Forsipagama). Quantitative data were analyzed with PLS-SEM, while qualitative data were analyzed with Miles and Huberman's interactive model. The results of the study show that there are many factors that have a positive effect, although not all of them are significant, on the intention to use Simpan UGM as a records cloud repository at UGM.
Organisational Typologies for Experiential Nature Tourism Architecture
Authors: Babris Matijs , Bratuškins Uģis , Tihanova Anna , Hartmans Rolands 
Published: November 2023

Abstract
This research analyses experience-oriented nature tourism architecture approaches to develop sustainable solutions for destination-oriented nature travel. Currently, the tourism industry mostly relies on a classical interpretation of recreational architecture. After analysing a set of 945 case studies, five main approaches for organising nature tourism architecture were proposed – classification by type, location, climate, relation to nature and grouping by main tourist attractors used: existing nature features, built environment, activity and story-oriented destinations, and a combined approach.
Assessment of Knowledge about the Human Papillomavirus and Factors Influencing the Attitude Towards Recommended Protective Vaccinations against HPV among the Inhabitants of the Lodz Voivodeship
Authors: Tchórzewska Karolina , Tchórzewski Jakub , Ksel Aleksandra , Rzeźnicki Adam , Cichońska-Rzeźnicka Dominika , Krakowiak Jan 
Published: November 2023

Abstract

Background
HPV (human papilloma virus) is one of the most common viral infections and almost every sexually active person will be infected with it during their lifetime. Infection may be asymptomatic or clinically manifest causing multiple disease units. There is primary prevention available in the form of recommended protective vaccinations.

Objective
To assess knowledge about the human papillomavirus and factors influencing the attitude towards recommended HPV vaccinations among the inhabitants of the Lodz Voivodeship.

Material and methods
Original online survey questionnaire consisting of 20 questions. The study involved 134 participants.

Results
80.6% of the respondents knew what the abbreviation HPV means. 75.0% of them correctly identified the route of sexual contact as the route of the virus transmission. The majority, i.e., 85.1%, of those surveyed indicated cervical cancer as a disease that may be the result of HPV infection. 92.5% of respondents were aware of the existence of the HPV vaccine, while 72.9% of them were aware that it was recommended for both girls and boys. 92.3% of those who had been vaccinated in the past supported the recommended protective vaccinations, as well as 52.4% of those who had not been vaccinated, and 46.2% of those with unknown vaccination history

Conclusions
Medical workers were more knowledgeable about the human papillomavirus than non-medical workers, so physicians should constantly educate their patients. People who were vaccinated in the past have a more positive attitude towards vaccination than people were not vaccinated. Information campaigns should be organized for the inhabitants of the Lodz Voivodeship to promote knowledge about pathogenicity, risk factors, and HPV prevention and its methods.
Probiotics and Synbiotics: The Consumers Perspective
Authors: Bernatek Małgorzata , Grzemska Margarita , Piątek Jacek , Sommermeyer Henning 
Published: November 2023

Abstract

Background:
Probiotics and synbiotics are non-prescription products frequently used by consumers. However, little is publicly known about customers’ product usage and knowledge, and the drivers influencing intake initiation and product selection.

Objectives
A survey among Polish customers was performed to evaluate their behavior in regard to intake initiation, administration, product selection, knowledge and efficacy experience.

Material and Methods
Net promoter scores (NPS) were determined for subsets of consumers. A majority of consumers initiate intake because of specific medical needs and recommendation by a physician.

Results
Application of several individual treatment courses per year is not uncommon and treatment lengths range from about a week to daily intake. Product selection is driven by own past experience, physician recommendation, and to a lesser extent pharmacist recommendation. Consumers’ knowledge about relevant product features is limited. Nearly half of study participants experienced positive effects after administration of probiotics or synbiotics. Good consumer experience correlates with high NPS-values. Results from the study show that physicians and to a lesser extent pharmacists can play an important role in guiding consumers towards a rational usage and selection of probiotics and synbiotics.

Conclusions
Communication between doctors and patients should focus on the efficacy of product features, as supported by scientific data.