bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient specific seizure prediction for time intervals using TQWT and deep learning
Authors: Jo YongUn , Oh Do Chang 
Published: January 2025

Abstract

Seizures are sudden activations of part or all of the brain, which are the primary symptoms of epilepsy. Epileptic seizures are characterized by their sudden and unpredictable nature and pose significant risks to patients’ daily lives. In many patients with epilepsy, specific symptoms are observed for a short period before a seizure occurs. Research is ongoing to develop technology that can predict seizures by detecting these symptomatic signals. In this paper, we used the CHB-MIT database, which contains more than 150 seizures in approximately 1,000 hours of EEG data collected from 23 children with intractable seizures. Tunable Q-factor Wavelet Transform (TQWT), a specific type of wavelet transform, was applied to the data to predict seizures by identifying inter-ictal and pre-ictal states using a relatively simple deep learning classifier. Each classification was performed individually for each patient, and seizure prediction during a specific period was achieved using k-fold cross-validation, a technique commonly employed in deep learning. By combining the results, the period with the highest probability of seizure occurrence for each patient was designated the specific warning period. Ultimately, it was possible to predict seizures 15 minutes in advance, achieving an average sensitivity of 0.97, an F1 score of 0.90, and a false discovery rate (FDR) of 0.13 for all patients. Additionally, a specific warning period was established for each patient, ranging from a minimum of 2.5 minutes to a maximum of 15 minutes. .
The Association between High-Density Lipoprotein Cholesterol and Diabetic Retinopathy : A Cross-Sectional Study in patients with type 2 diabetic mellitus
Authors: ling Juan , Xie Zhuo-Lin , Luo XiangXia , Chen xingLin , Gao Ying , zhuang jiayuan 
Published: January 2025

Abstract

Background
Diabetic retinopathy (DR) is a major microvascular complication of diabetes mellitus and a leading cause of visual impairment. While dyslipidemia has been implicated in DR pathogenesis, the relationship between high-density lipoprotein cholesterol (HDL-C) and DR remains controversial. This study aimed to investigate the association between HDL-C levels and DR prevalence in patients with type 2 diabetes mellitus (T2DM).
Methods
A total of 2001 (858 men and 1143 women) patients with T2DM who visited the diabetic clinic in the Internal Medicine out-patient departments of two hospitals in southern Taiwan between April 2002 and November 2004. Demographic and clinical data were collected, and serum HDL-C levels were measured. The association between HDL-C and DR was analyzed using multivariate logistic regression, adjusting for potential confounders and the potential non-line correlation was explored with smooth curve fitting approach.
Results
Among the 2001 participants, 701 (35.0%) were diagnosed with DR. Our findings revealed a significant inverse linear relationship between HDL-C levels and the risk of DR, with an odds ratio of 0.91 (95% confidence interval: 0.84 to 0.98, p = 0.0327). This suggests that higher HDL-C levels are associated with a reduced risk of developing DR. In the subgroup analysis, the linear correlation between HDL-C and DR was also found in female, different age stage and different DBP stage.
Conclusions
This study provides a linear relationship evidence that elevated HDL-C levels are associated with a decreased risk of DR in patients with T2DM. Future research should further explore the mechanisms underlying this association and its implications for therapeutic strategies.
Antibiotic Resistance Profile of Wound Infection Isolates: High Resistance to Cephalosporins and Penicillin Among Ghanaian Patients
Authors: Kwashie Nelson , Antwi-Baffour Samuel , Anniston Lawrence , Appah Ofosual L. , Paul Uwakmfon , Akpobi Solomon , Senu Ebenezer 
Published: January 2025

Abstract

Background and Aim:
Antibiotics constitute one of the most routinely used medications in clinical settings. However, antimicrobial resistance (AMR) is inevitable and irreversible natural consequence of bacterial cell adaptation to exposure of antimicrobials. Conversely, there is limited study on antibiotic resistance pattern of bacteria isolated from infected wounds. This study assessed the prevalence and magnitude of antibiotic resistance pattern of bacteria isolated from infected wounds among Ghanaians.
Methods
This experimental cross-sectional study included 300 patients with suspected wound infections receiving treatment at MDS – Lancet Laboratories. Wound swabs were taken and inoculated on basic media, incubated at 37 degrees Celsius for 18 to 24 hours for the first reading and re-incubated again overnight for the second reading. Identification of isolates was based on morphological characteristics, grams stain reactions, biochemical reactions and using API 20 E/NE. Susceptibility testing was done using disc diffusion method. Statistical analyses were done using SPSS version 26.0 and GraphPad 8.0
Results
The most isolated organisms causing wound infections were Escherichia coli (23.2%), Pseudomonas aeruginosa (19.8%), Klebsiella spp. (19.2%) and Staphylococcus aureus (15.2%). Susceptibility outcome revealed that aminoglycoside (Amikacin, and Gentamicin), carbapenem (Ertapenem, Imipenem, and Meropenem) and tetracycline (Tigecycline) were most effective antibiotic against Gram negative bacteria in wound infections whilst 2nd, 3rd and 4th generation cephalosporin (Cefuroxime, Ceftriaxone and Cefepime respectively), and aminopenicillin (Amoxicillin) had the highest resistant. Moreover, Gram positive bacteria such as Staphylococcus aureus and Coagulase negative Staphylococcus aureus (CNS) were most susceptible to aminoglycosides (Gentamicin), lincosamides (Clindamycin) and macrolides (Erythromycin), however had highest resistant against 1st and 2nd generation cephalosporin (Cefazolin and Cefoxitin respectively), penicillin (Augmentin and Cloxacillin) and Tetracycline. Prevalence of ESBL producing organisms isolated was 30.3% and were majorily Escherichia coli (50.0%) and Klebsiella spp (43.9%). Prevalence of MRSA organisms was 34.7%, and methicillin-resistant coagulase negative Staphylococcus aureus (MRCNS) was 66.7%.
Conclusion
Aminoglycosides and Linezolid are most effective against Gram positive and Gram-negative bacteria causing wound infections. However, both Gram positive and Gram-negative bacteria are resistant to 2nd generation cephalosporins and penicillin. Treatment of wound infections has to be done based on the culture and susceptibility test results.
Molecular dynamics simulation of the mechanical properties of silicone sealants
Authors: Qi Wen , Du Yu-Fei , An Gui-lei 
Published: January 2025

Abstract

Silicone sealant as a room temperature crosslinking curing silicone polymer material is widely used in curtain wall and prefabricated buildings, the study of the relationship between the crosslinking molecular structure of silicone sealant and its properties is of great significance to improve the mechanical properties of silicone sealant and to design or develop new types of silicone sealant products.Three mixed system models of crosslinking silicone sealant/plasticizer are constructed by molecular dynamics simulation method, and the effect of three influencing factors, namely, crosslinking degree of silicone sealant, plasticizer content and external temperature on the mechanical properties of silicone sealant system are analyzed.The results show that at room temperature, the mechanical properties of silicone sealant system is enhanced with the increase of its crosslinking degree; At high crosslinking degree, with the increase of plasticizer content, the mechanical properties of silicone sealant system is an overall decreasing trend.When the methyl silicone oil in the range of 20%, the mechanical properties of the silicone sealant appeared to be a small degree of enhancement;As the temperature increases, the doped white oil mechanical properties of silicone sealant declined significantly, while doped with mthyl silicone oil silicone sealant and doped with double-ended vinyl silicone oil silicone sealant mechanical properties have better heat resistance.
Synthesis, Characterization and Surface Analysis of Intermolecular Interactions in a Supramolecula Hybrid Inorganic-Organic Polymer Complex Featuring Hydrogen Bonding, Halogen Bonding, and π-π Interactions
Authors: Mirtamizdoust Babak , Karamad Amirhossein , Mojtabazade Faeze , Hoseini-monfared Hasan , Bikas Rahman 
Published: January 2025

Abstract

This research details the successful creation and analysis of a polymer complex with the formula [Cu(µ-Cl)(µ-OCH3)(2-apy)]n CH3OH. The complex was produced by combining 2-apy and copper chloride in a 1:1 ratio using methanol as the solvent. Characterization of the resulting polymer complex was conducted through X-Ray diffraction and verified by IR spectroscopy. Crystallographic data indicated that the polymer crystallizes in a triclinic crystal system, specifically within the Pī space group. The coordination environment around each copper atom forms a square-based pyramid, where the nitrogen of the 2-amino-pyrimidine ligand (2-apy), one chlorine, and two oxygen atoms from bridged methoxy groups form the pyramid's base. The compound showcased intermolecular hydrogen bonding, halogen bonding, and π-π interactions within the coordination polymer. Hirshfeld surface analysis revealed the compound's contributions as 18.1% for hydrogen bonds, a significant 16.6% for halogen bonds, and 48.5% for hydrogen-hydrogen interactions. This study offers valuable insights into the synthesis, characterization, and properties of polymer complexes.
Association between HIV infection and erectile dysfunction: A two-sample mendelian randomization study
Authors: Jiang Tiancheng , Wang Ganlin , Jiang Yinfeng , Chen Shuqiu , Zhang Zhenglin 
Published: January 2025

Abstract

Objectives
The aim of this study was to investigate whether there is a causal relationship between HIV infection and erectile dysfunction in men through Mendelian randomization analysis.
Materials and methods
Two-sample Mendelian randomization (MR) analyses were performed using publicly available genome-wide association study (GWAS) statistics. The inverse variance weighting (IVW) method was used as the primary analysis. We applied complementary methods including MR-Egger regression, simple mode, weighted mode, and weighted median as corrections and supplements. Sensitivity analyses such as heterogeneity test, pleiotropy test, and leave-one-out analysis were also performed to assess the bias of the study.
Results
IVW MR analysis showed no effect of HIV infection on ED (IVW OR = 1.058, P = 0.462).The results of the MR-Egger regression, simple model, weighted model, and weighted median methods were consistent with those of the IVW method (P>0.1). Based on sensitivity analyses, horizontal pleiotropy was unlikely to distort causal estimates, although some heterogeneity existed.
Conclusion
Although observational studies have reported an association between HIV infection and erectile dysfunction, the results of our MR analysis do not support a causal relationship between HIV infection and erectile dysfunction.
Magnesium promotes implant osseointegration by regulating LepR + stem cells
Authors: Liu Linfeng , Huang Lixuan , Song Wei , Zhang Danting , Zhang Shiwen , Yang Fan 
Published: January 2025

Abstract

Background
Homing and differentiation of stem cells is a necessary step in achieving implant osseointegration. However, the specific role and mechanism about stem cells in the osseointegration process were rarely reported. Rencently, LepR+ cells were identified as crucial skeletal stem cells in the long bone and alveolar bone, which participated homeostasis maintenance and damage repair. As one of the indispensable trace elements in the human body, Mg2+ were proved to promote vascularized bone regeneration. Here, by combining tissue clearing technique and immunofluorescent mice, we proved that Mg2+ promoted implant osseointegration by regulating LepR+ stem cells aggregation and differentiation at the implant-bone interface in vivo and provided a new perspective to promote the study of implant research.
Purpose
The aim of the study was to explore the effects of Mg2+ in promoting implant osseointegration in the alveolar bone.
Methods
The cell proliferation and osteogenic differentiation were performed to screening the optimal Mg2+ concentration for MC3T3-E1 osteoblasts. Then the optimal Mg2+ was loaded on a self-designed SLA implant hydrothermally. Characterization and bio-compatibility of materials were detected. In vivo, combining the PEGASOS with LepR-Cre;tdTomato;Col2.3-GFP mice, we traced the LepR positive ( LepR+ ) stem cells aggregation and differentiation at the implant-bone interface.
Results
5mM Mg2+ was screened to be the optimal concentration for MC3T3-E1 osteoblasts. EDS and XRF proved that Mg2+ was successfully corroborated onto the implants. Further detection confirmed the better stretching and proliferatio of Mg-coating implants. 3-D imaging revealed that Mg-coating implants facilitated LepR+ cells aggregation and differentiation to Col2.3-GFP+ cells.
Conclusion
Mg2+ promoted osseointegration around implants by facilitating the LepR+ cells accumulation and osteogenic differentiation.
Beyond the BRCA1/2 genes in ovarian cancer: the clinical and prognostic role of germline pathogenic variants in the ATM gene
Authors: Guadagnolo Daniele , Minucci Angelo , Chiavassa Antonella , Gentile Gabriella , Salvatori Francesca , Hashemian Nader Khaleghi , Maneri Giulia , Piane Maria , Grotta Simona , Grammatico Paola , Pizzuti Antonio , Santini Daniele , De Marchis Laura 
Published: January 2025

Abstract

Ovarian Cancer (OC) prevention and early-stage detection represents a challenge due to the lack of effective surveillance. The identification of high-risk women is crucial as it provides access to prophylactic oophorectomy and reduces disease burden. Next-Generation Sequencing approaches enable the investigation of several genes associated with monogenic hereditary cancer predisposition, including ovarian cancer. For family members of patients affected by ovarian cancer without identification of a germline pathogenic variant, despite the increased empirical risk (3 times) of ovarian cancer incidence, prophylactic surgery is not indicated but may be suggested as the only efficient strategy. Carriers of heterozygous pathogenic variants in the ATM gene have an increased risk of neoplasms incidence, mostly breast but also of OC with an absolute estimated risk of 2–3 times greater than the general population. For these patients there is not well-established evidence of benefit in risk reducing bilateral salpingo-oophorectomy. We hereby present 2 cases of OC: the first in the contest of Hereditary Breast and Ovarian Cancer (HBOC) family history and, in the other one, a late onset of neoplasms, to underline the importance of defining guidelines and management of moderate penetrance genes variants also for ovarian cancer prevention.
Efficacy Analysis of High-Intensity Laser Therapy for Post Lumbar Surgery Syndrome: A Randomized Controlled Trial Study
Authors: Zhao Ruizhao , Qiao Junjie , Lv Xinyao , Fang Xiutong 
Published: January 2025

Abstract

Objective
This study aims to investigate the efficacy of high-intensity laser treatment against post-lumbar surgery syndrome (PLSS) through a randomized controlled trial.
Method
PLSS admitted at our hospital between 2020 and 2022 were recruited and randomly divided into two groups, i.e., the oral medication group (Group A) and the high-intensity laser therapy group (Group B). We analyzed the visual analog scale (VAS) and Oswestry Disability Index (ODI) of both groups. We also analyzed serum pain indicators and the extent of paraspinal muscle fat infiltration before and after treatment, at one week, one month, three months, six months, and twelve months post-treatment.
Results
After one month, three months, and six months post-treatment, VAS scores of Group B were significantly lower than those of Group A (P < 0.05). After one week, one month, and twelve months post-treatment, the ODI of Group B was significantly lower than that of Group A (P < 0.05). One month after treatment, Group B patients had significantly lower levels of 5-HT and substance P (SP) than Group A (P < 0.05). The content of β-endorphins (β-EP) in the blood of Group B was higher than that of Group A (P = 0.018). The progression of paraspinal muscle fat infiltration in Group B was significantly slower than that in Group A (P = 0.001).
Conclusion
HILT can improve the clinical symptoms of patients with PLSS, delay the degenerative changes in the paraspinal muscles of the lumbar spine, and improve the long-term postoperative quality of life of patients.
Comparative Analysis of ANN, RNN, and GRU for Credit Card Fraud Detection
Authors: Singh Simarjeet , Kashyap Manav , Tantubay Neeraj 
Published: January 2025

Abstract

The rapid rise of digital financial transactions has significantly increased the risk of credit card fraud, which poses substantial threats to financial institutions and consumers. This paper presents a comparison of three machine learning models—Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Gated Recurrent Units (GRU)—for detecting fraudulent credit card transactions. The study evaluates the models using four key performance metrics: Sensitivity, Specificity, Accuracy, and Error Rate. The findings reveal that the GRU model outperforms both ANN and RNN, achieving an impressive accuracy of 99.9%. These results highlight the potential of GRU in developing robust and efficient credit card fraud detection systems.
Análise dos Efeitos da Ativação Cerebral por Eletroencefalografia em Pacientes Pós-AVC Durante Imagética Motora, Estimulação Elétrica Funcional e Luva Robótica
Authors: Souza Fernanda Vaz de , Bastos Filho Teodiano Freire , Silva Leticia Araujo , Mehrpour Sheida , Lima Jessica Paola Souza , Cabral Fernando Bermudes 
Published: January 2025

Objetivo: analisar os efeitos da ativação cerebral por eletroencefalografia (EEG) em pacientes pós-AVC durante estimulações com Imagética Motora (IM), Estimulação Elétrica Funcional (FES) e Luva Robótica (LR). Metodologia: Foram analisados e comparados registros de EEG de dois (02) sujeitos pós-AVC, com acometimento de movimento de mão durante intervenções de IM, FES, LR e associação de FES+LR. Resultados: A análise do ritmo Mu demonstrou que as terapias com LR, FES e FES+LR foram capazes de reduzir a PR de forma significativa esse ritmo no voluntário 1 (V1), quando comparadas a terapia de IM. No voluntário 2 (V2), observamos o mesmo padrão. Após a análise do ritmo Beta Low, foi demonstrado que a terapia de FES+LR foi superior e significativa quando comparada a IM nos dois indivíduos estudados. A terapia apenas com FES também se mostrou significativa em V2 em comparação a IM. Já durante a análise da frequência Beta High, observou-se que a terapia de FES+LR foi superior e significativa quando comparada a IM em V1. Conclusões: Foram obtidos resultados relevantes utilizando as estimulações FES+LR associadas. Diante disso, conclui-se que a associação dessas terapias pode auxiliar no processo de reabilitação neuro-motora pós-AVC, possibilitando a elaboração de novos protocolos de neuro-reabilitação que sejam acessíveis e seguros.
Pro-fertility and Antioxidant Potentials of Vigna unguiculata (Cowpea)
Protein Isolate and Essential Oil: An In vivo and In silico Studies
Authors: Samuel Oladimeji Olugbenga , Kayode Awote Olasunkanmi , Olympian Elum Nzubechi 
Published: January 2025

Introduction::
Vigna unguiculata (Cowpea), a legume rich in phytochemicals, has been
traditionally used to improve fertility and treat various ailments. This study used in-silico and invivo
methods to evaluate the effects of cowpea protein isolate and essential oil on reproductive hormonal
and antioxidant indices.

Method::
Forty (40) female rats were divided into eight groups (n=5). After 14 days of treatment,
hormone levels (progesterone, prolactin, testosterone and estradiol) and antioxidant activities (superoxide
dismutase (SOD), catalase (CAT) were assessed using biochemical kits and standard procedures.
Molecular docking studies were performed using PyRx and Biovia Discovery Studio
2021. The ligands generated through gas chromatography-mass spectroscopy (GCMS) analysis of
cowpea oil and the target proteins (SOD and CAT) were from downloaded PubChem and RCSB
Protein Data Bank, respectively.

Results::
The results of this study showed that cowpea essential oil and protein isolate significantly
(p<0.05) reduced plasma CAT and SOD activities while increasing their activities in the ovary
and liver tissues compared to the infertile untreated group. Consistent administration of either cowpea
oil or protein isolate was observed to positively regulate the hormonal indices in the infertile
treated groups. Phthalic acid, 2-cyclohexyl ethyl isobutyl ester demonstrated a strong binding
affinity and binding constant with SOD and CAT, which suggests that the ligands from cowpea essential
oil may have antioxidant and pro-fertility properties that could be developed to treat fertility-
related issues.

Conclusion::
Based on the results of this study, it can be concluded that V. unguiculata has antioxidant
property, and can promote fertility, possibly through its rich embedded phytochemicals,
which substantiates its traditional claim.
Gold Nanoparticles and Chitosan as Innovative Compounds in Medicine and Cosmetology:A Review of Current Applications
Authors: Kowalska Agata , Smułka Agata , Adamska Elżbieta , Zarzeczańska Dorota , Ossowski Tadeusz , Grobelna Beata 
Published: January 2025

Abstract:
The medical and cosmetic industries have developed in recent years, there
has been a growing demand for new materials. Gold nanoparticles (Au NPs) and chitosan
(CS) have been known and used for many years. Unfortunately, despite their numerous
advantages and possible applications, such materials may possess certain disadvantages
and limitations that constitute a problem in medical or cosmetic applications.
Au NPs may have potential toxicity depending on their size, shape, charge, surface coatings,
and tendency to agglomerate into larger clusters. On the other hand, the CS production
process requires strict control due to the possibility of uncontrolled hydrolysis or
chemical modifications during polymer isolation. The combination of Au NPs and CS
that differ in chemical and phase in one composite (Au/CS) allows for acquiring of new
material with many advantages. The obtained composite has good mechanical properties
and is biocompatible due to the presence of CS and the antibacterial properties of Au
NPs. Therefore, it can be successfully used in many branches of medicine, including
gene delivery, cell encapsulation, wound healing process, or as a preservative ingredient
of cosmetics. Moreover, Au/CS nanocomposites are used in the food industry and environmental
protection. This review highlights the preparation routes, properties, and applications
of Au NPs and CS as separate materials. Moreover, the last part presents the advantages
of combining these two materials into one nanocomposite. Specifically, we described
the role of CS in the synthesis of Au NPs and possible subsequent applications
of such nanomaterials as an element of biosensors, scaffolds, and an intelligent drug release
system or tissue engineering.