bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: Neutralization and immunoperoxidase to estimate the immunogenicity of recombinant human rotavirus VP6 structural protein in vitro after insertion of the antibodies into cells using electroporation
Authors: Kamel Marwa A. , Shokeer Abeer , Hegazy Usama M. , El-Hakim Amr E. , Elsayed Omar EL-Farouk Rabia , Barakat Ahmed , Mohamed Aly F. , Hamza Ibrahim Ahmed , Fuentes Cristina , Pinto Rosa M. , Bosch Albert , El-Senousy Waled Morsy 
Published: April 2024

Abstract

Rotaviruses (RVs) represent the principal causative agent of severe gastroenteritis leading to high mortality rates, especially in children < 5 years in both developed and developing countries. Although, the first-generation of live attenuated RV vaccines such as RotaTeq and Rotarix achieved partial success in reducing the number of RV deaths worldwide, several concerns, such as low efficacy especially in developing countries, safety, and cost imply a dire need to develop these vaccines. Also, sensitive methods to estimate the immunogenicity of the candidate recombinant subunit VP6 vaccines in vitro are of great need. In the present study, 1232 bp of the most frequent full length VP6 in clinical and environmental isolates in Egypt with 98% nucleotides identity and 98% amino acid identity in comparison to human RoV Wa reference strain was expressed in E.coli. The examination of the sensitivity of the antibodies produced in the male rabbits which were immunized intramuscularly with 20 µg of the purified VP6 proteins, indicated a sensitivity up to 1/24000 dilution of antibodies against the expressed protein using ELISA. Introduce antibodies into MA104 cell line was performed using electroporation to neutralize the human rotavirus Wa strain VP6 when exposed after viral uncoating. Higher sensitivity of neutralization in relation to immunoperoxidase was observed for the estimation of the antibodies which act intracellularly against high and low infectious units of human rotavirus Wa strain in vitro. Promising sensitivity of the produced antibodies against the infectious human RV Wa strain was observed.
Genetic etiology analysis of 73 fetuses with ventriculomegaly
Authors: Chenyue Zhao , Huiqin Xue , Jingbo Gao , Min Guo , Hao Yue , Rong Guo , Guizhi Cao , Xiayu Sun , Jianrui Wu 
Published: April 2024

Abstract
Objective High-throughput sequencing was performed on 73 fetuses with ventriculomegaly (VM) to analyze the genetic causes, including chromosomal aberrations and genetic variations.Methods The clinical data from fetuses with lateral ventricular width greater than 10 mm in second and third trimester were collected from Shanxi Provincial Children's Hospital between 2020 and 2023. Patient samples included amniotic fluid or miscarriage tissue and were evaluated via copy number variation sequencing (CNV-seq), and those with negative CNV-seq result were further examined using whole exome sequencing (WES), with chromosomal aberrations and genetic variations counted. Statistical analysis was performed using SPSS 26.0, and pregnancy outcomes were followed.Results Of the 73 patients included in the study, 23 (31.5%) cases had chromosomal aberrations with 26 CNV fragments following CNV-seq, including 4 aneuploidies, 12 pathogenic variants, 2 likely pathogenic variants, and 8 variants of unknown significance. The detection rate of chromosomal aberrations was significantly higher in non-isolated VM relative to isolated VM. Negative CNV-seq results (n = 33) were further examined via WES, and a subset (n = 16, 48.48%) contained single-gene defects. These variants included SPATA5, PDHA1, TRIM71, PIK3R2, TUBB, CRB2, PIDD1, RTTN, FGFR3, AIMP1, POGZ, MYH7, CNOT3, MACF1, and PURA, with 9 unreported variant loci also identified.Conclusion VM fetuses have complex developmental outcomes, and thus it is necessary to consider genetic etiology is VM. WES has the potential to provide a genetic diagnosis for VM fetuses without aneuploidy or CNVs, and can thereby increase the fetal VM diagnostic rate.
Double-hit primary central nervous system lymphoma with histogenetically proven bone marrow infiltration: A case report and a review of the literature
Authors: Onodera Koki , Shirahata Mitsuaki , Mizuno Reina , Fukuoka Masayoshi , Suzuki Tomonari , Satoh Tsugumi , Honma Taku , Takahashi Naoki , Mishima Kazuhiko 
Published: April 2024

Abstract

Double-hit lymphoma (DHL) formerly referred to high-grade B-cell lymphoma with concurrent MYC and BCL2 or BCL6 rearrangements, however, the updated 2022 World Health Organization Classification (5th edition online) excludes those with MYC/BCL-6 rearrangements from the high-grade category. DHL confined to the central nervous system (CNS), known as double-hit primary CNS lymphoma (DH-PCNSL), is rare with poorly understood clinical features. Here, we report a case of a 64-year-old man with multiple brain tumors diagnosed with DH-PCNSL who showed bone marrow (BM) infiltration early in the clinical course. The histological diagnosis was high-grade B-cell lymphoma with a MYC/BCL6 rearrangement. Fluorodeoxyglucose positron emission tomography (FDG-PET) revealed no abnormal accumulation except in the CNS. The patient received whole-brain radiotherapy following failure of high-dose methotrexate. After completion of radiotherapy, the patient developed thrombocytopenia, and BM biopsy showed infiltration of DHL cells, which were not detected by repeated FDG-PET. This is the first report of DH-PCNSL where identical gene rearrangements were identified in both the resected CNS tumor and BM tissue. BM infiltration may occur more frequently in patients with DH-PCNSL and undetectable using FDG-PET in the early stages of the disease, suggesting the importance of the BM biopsy in the staging of patients with DH-PCNSL.
A Novel Copy Number Variation in PRPF31 Causes Dominant Rod-Cone Dystrophy By Haploinsufficiency
Authors: Mousawi Zahraa , Choukeir Maysa , Jaffal Lama , Karam Louna , Assi Alexandre , Ibrahim José-Noel , Chebly Alain , Shamieh Said El 
Published: April 2024

Abstract

Background and Objectives:
Rod-cone dystrophy (RCD), also known as Retinitis Pigmentosa, is the most common group of retinal dystrophies, affecting around 1:4,000 individuals worldwide. Herein, our objective was to identify the genetic cause of RCD in two Lebanese families with distinct inheritance patterns and explore the potential role of PRPF31 haploinsufficiency.
Methods
The study combined next-generation sequencing, real-time PCR (qPCR), and chromosomal microarray to identify, validate, and delineate the causative copy number variations (CNVs) identified in both families of this study. gene expression analysis using qPCR and Western Blot were conducted to assess the PRPF31 variant's impact on gene expression levels.
Results
A novel heterozygous deletion (701 bp) spanning exons 6 and 7 of PRPF31 was identified in the first family (F11), leading to autosomal dominant RCD through haploinsufficiency, evidenced by reduced mRNA and total absence of protein expression levels in the affected individuals (F11:III.2 and F11:II.1). A rare previously reported homozygous deletion in MERTK was found in the second family (F26), causing autosomal recessive RCD. These findings highlight the diversity of CNVs contributing to RCD and the critical role of haploinsufficiency in autosomal dominant RCD pathogenesis.
Conclusion
The current study expands the mutational spectrum associated with PRPF31 and MERTK genes in RCD, underscoring the importance of CNVs in its etiology. Identifying haploinsufficiency as a disease mechanism in PRPF31-related autosomal dominant RCD represents a stepping stone for future analyses regarding gene augmentation therapies.
Insufficient radiofrequency ablation drives hepatocellular carcinoma progression by activating of UPRmt
Authors: Liu Yan , Qi Feng , Zhou Yun , Li Sheng-Wei , Yi Zhu-Jun 
Published: April 2024

Abstract

Mitochondrial-unfolded protein response (UPRmt) plays an important role in acute stress response and tumor progression. Sublethal heat stress from insufficient radiofrequency ablation (IRFA) has been confirmed to promote hepatocellular carcinoma (HCC) progression. However, whether UPRmt is involved in IRFA-induced HCC recurrence and metastasis remains unknown. Here, we detected higher level of UPRmt-related proteins in human HCC tissues than adjacent tissues. In addition, both IRFA and sublethal heat stress can promote the expression of UPRmt-related proteins in HCC cells in vivo and in vitro. Knockdown of HSP60 with short hairpin RNA (shRNA) can effectively inhibit the activation of UPRmt. Inhibit the activation of UPRmt, inhibit the migration and invasion of HCC cells mediated by IRFA, and also inhibit the growth of subcutaneous tumor in nude mice. Mechanistically, we found that activated transcription factor 5 (ATF5) is the key factor to activate UPRmt by IRFA. IRFA promotes the expression of ATF5 in HCC cells. Knockdown of ATF5 inhibits the activation of UPRmt mediated by IRFA. Besides, silent ATF5 also inhibits IRFA-mediated progression of HCC. Collectively, these findings reveal a novel mechanism for IRFA promoting the progression of HCC. It provides experimental basis for further studying of IRFA promoting tumor recurrence and metastasis and developing corresponding clinical treatment strategies.
Predicting Atlantic and Benguela Niño events with deep learning
Authors: Bachèlery Marie-Lou , Brajard Julien , Patacchiola Massimiliano , Illig Serena , Keenlyside Noel 
Published: April 2024

Abstract
Extreme Atlantic and Benguela Niño events significantly impact the tropical Atlantic region with far-reaching consequences on local marine ecosystems1,2, African and South American climates3–5, to the El Niño Southern Oscillation6. While accurate forecasts of these events are invaluable, state-of-the-art dynamical seasonal forecasting systems have shown limited predictive capabilities7–9. Thus, the extent to which the variability of the tropical Atlantic is predictable is an open question. Here, exploiting a deep learning-based statistical prediction model, we show that tropical Atlantic events can be predicted up to 3-4 months in advance. Notably, our convolutional neural network model excels in forecasting peak-season events with remarkable accuracy extending lead-time up to 5 months. Detailed analysis reveals our model’s ability to exploit known physical precursors, particularly associated with long-wave ocean dynamics, for accurate predictions of Atlantic/Benguela Niños. This study challenges the perception that the tropical Atlantic is inherently unpredictable and highlights the potential of deep learning to advance our understanding and forecasting of critical climate events.
Coupling Taguchi Experimental Designs with Deep Adaptive Learning Enhanced Artificial Intelligence Process Models: A Novel Case in Promising Experimental Cost Savings Possibilities in Manufacturing Process Development
Authors: Zubair Syed Wasim Hassan , Arafat Syed Muhammad , Khan Sarmad Ali , Niazi Sajawal Gul , Rehan Muhammad , Arshad Muhammad Usama , Hayat Nasir , Aized Tauseef , Uddin Ghulam Moeen , Riaz Fahid 
Published: April 2024

Abstract

The Aluminum alloy AA7075 workpiece material is observed under dry finishing turning operation. This work is an investigation reporting promising potential of deep adaptive learning enhanced artificial intelligence process models for L18 (6133) Taguchi orthogonal array experiments and major cost saving potential in machining process optimization. Six different tool inserts are used as categorical parameter along with three continuous operational parameters i.e., depth of cut, feed rate and cutting speed to study their effect on output. Workpiece surface roughness and tool life are considered as output parameters. The data obtained from special L18 (6133) orthogonal array experimental design in dry finishing turning process is used to train AI models. Multi-layer perceptron based artificial neural networks (MLP-ANNs), support vector machines (SVMs) and decision trees are compared for better understanding ability of low resolution experimental design. Seven model evaluation criteria and external validation is used for final model selection. The AI models can be used with low resolution experimental design to obtain causal relationships between input and output variables. The best performing operational input ranges for surface roughness and tool life are identified keeping workpiece surface roughness as primary criteria of range selection in aerospace industry. TiN and TiCN are top two tool insets for obtaining low surface finish with maximum tool life under specified conditions. AI-response surfaces indicate different tool life behavior for alloy based coated tool inserts and non-alloy based coated tool inserts. The AI-Taguchi hybrid modelling and optimization technique helped in achieving 26% of experimental savings (obtaining causal relation with 26% less number of experiments) compared to conventional Taguchi design combined with two screened factors three levels full factorial experimentation.
Influence of heterochirality on the structure, dynamics, biological properties of cyclic(PFPF) tetrapeptides obtained by solvent-free ball mill mechanosynthesis
Authors: Potrzebowski Marek , Kazmierski Slawomir , Wielgus Ewelina , Paluch Piotr , Dolot Rafal , Chworos Arkadiusz , Pawlowska Roza , Pawlowicz Aleksandra , Szczesio Malgorzata , Pawlak Tomasz , Gorecki Marcin , Bak-Sypien Irena , Wroblewska Aneta 
Published: April 2024

Abstract
Cyclic tetrapeptides c(Pro-Phe-Pro-Phe) obtained by the mechanosynthetic method using a ball mill were isolated in a pure stereochemical form as a homochiral system (all L-amino acids, sample A) and as a heterochiral system with D configuration at one of the stereogenic centers of Phe (sample B). The structure and stereochemistry of both samples were determined by X-ray diffraction studies of single crystals. In DMSO and acetonitrile, sample A exists as an equimolar mixture of two conformers, while only one is monitored for sample B. The conformational space and energetic preferences for possible conformers were calculated using DFT methods. The distinctly different conformational flexibility of the two samples was experimentally proven by Variable Temperature (VT) and 2D EXSY NMR measurements. Both samples were docked to histone deacetylase HDAC8. Cytotoxic studies proved that none of the tested cyclic peptide is toxic.
Feasibility and efficacy of adding high-intensity interval training to a multidisciplinary lifestyle intervention in children with obesity – a randomized controlled trial
Authors: Eggertsen Charlotte , Larsen Ryan , Duch Kirsten , Simonsen Morten , Christensen Cecilie , Warner Tine , Frøkjær Jens , Handberg Aase , Stjernholm Theresa , Vestergaard Esben , Hagstrøm Søren 
Published: April 2024

Abstract

Background
Multidisciplinary lifestyle interventions for children and adolescents with obesity often include recommendations regarding physical activity, but no structured exercise program. We hypothesized that adding high intensity interval training (HIIT) to a multidisciplinary lifestyle intervention would improve BMI z-score (primary outcome) and health-related quality of life (HRQOL).
Methods
This randomized controlled trial included 173 children and adolescents with obesity. Participants were allocated to a 12-months lifestyle intervention (N=83) or a 12-month lifestyle intervention accompanied by a 12-week HIIT program at intervention onset (N=90).
The HIIT intervention consisted of three weekly sessions and included activities designed to elicit intensities >85% of maximal heart rate.
Results
Dropout rate was lower in HIIT compared to control at three months (7.8% vs. 20.5%) and 12 months (26.5% vs 48.2%).
Changes in Body mass index (BMI) z-score did not differ between HIIT and control at 3 months (Mean Difference (MD): 0.01, 95% confidence interval (CI): -0.09; 0.12, P=0.82) or 12 months (MD: 0.06, CI: -0.07; 0.19, P=0.34).
Across randomization (pooled data), BMI z-score was reduced by 0.11 (CI: 0.17; 0.06, P<0.01) at 3 months and 0.20 (CI: 0.26; 0.14, P<0.01) at 12 months.
At 3 months, HIIT experienced a greater increase in HRQOL, with increases of 2.73 (CI: 0.01; 5.44, P=0.05) in PedsQL Child total score and 3.85 (CI: 0.96; 6.74, P<0.01) in psychosocial health score compared to control. At 12 months, PedsQL Child physical score was reduced by 6.89 (CI: 10.97; 2.83, P<0.01) in HIIT compared to control.
Conclusion
Adding a 12-week HIIT program did not further augment the effects of a 12-month lifestyle intervention on BMI z-score, but improved HRQOL after 3 months. Implementation of HIIT in a community-based setting was feasible and showed positive effects on adherence to the lifestyle intervention.
Nutritional composition, quality parameters and organoleptic features of Chapatti prepared from maize based composite flour
Authors: YADAV ANJALI , SINGH USHA , CHAUDHARY GITANJALI 
Published: April 2024

Abstract

The experimental study was performed to develop chapatti from maize based composite flour in relation with wheat flour. The grains were selected such as maize, flaxseed, chickpea, barley, ragi and wheat due to their nutritional point of view and promising health benefits. However, grains were undergone for different processing methods viz. soaking, boiling, roasting and drying (oven) to reduce their anti-nutritional factors (phytates, oxalates, tannins etc.) and enhance absorption. After processing the grains were grounded and composite flour was prepared at different level of supplementation. The treatment T0C0 contains 100% wheat flour whereas, T1C1 (50:10:20:20), T2C2 (50:10:20:10:10), T3C3 (50:10:20:20), T4C4 (50:10:20:10:10), T5C5 (50:10:10:10:10:10). The formulated chapatti was analyzed in terms of their nutritional composition, quality parameters and organoleptic features with chapatti prepared from wheat flour. It was concluded that treatment T3C3 found to be best because it is rich in energy, omega-3 fat, fibre and calcium as compared to control (wheat flour chapatti). However, mean score value of T3C3 was higher in terms of dimension and WAC. Therefore the organoleptic features revealed that chapatti prepared from T2C2 treatment were overall acceptable.
Patient perceptions of laser-assisted esthetic crown lengthening: open-flap vs. flapless techniques
Authors: Altayeb Walid , Arnabat-Dominguez Josep , Low Sam B. , Abdullah Ahmed , Romanos Georgios E. 
Published: April 2024

Abstract

Objectives: Patient perception of and satisfaction with dentistry are important because they influence treatment adherence and overall outcomes. This study investigated patients’ perceptions of laser-assisted esthetic crown lengthening (ECL) for treating “gummy smiles” using either an open-flap or flapless technique.
Materials and Methods: This study included 36 healthy patients with altered passive eruption who underwent esthetic crown-lengthening surgery and were randomly divided into two equal groups: open-flap and flapless. Gingivectomy and ostectomy were performed using an Er,Cr:YSGG laser in both groups. Patients’ perceptions of postsurgical morbidity were assessed using a 5-point self-administered Likert scale. The participants provided ratings on their levels of anxiety immediately after surgery, as well as their experiences with pain, swelling, bleeding, discomfort, tooth sensitivity, and use of pain medication after 7 days. Nine months after surgery, another survey was conducted to assess the overall satisfaction.
Results: Patients reported higher anxiety after open-flap surgery than after the flapless procedure. Flapless surgery was also associated with less postoperative pain, swelling, bleeding, discomfort, sensitivity, and need for pain medication. Both groups reported high satisfaction with the final cosmetic outcome after 9 months, although patients who underwent flapless surgery tended to report even greater satisfaction. The flapless procedure was also significantly faster, taking approximately 15 min less than open-flap surgery.
Conclusions: Flapless laser-assisted ECL offers several advantages over the open-flap method, including reduced patient anxiety, pain, discomfort, and shorter treatment time.
Clinical Relevance: This study suggests that laser-assisted flapless ECL may be a more patient-friendly and efficient procedure compared to traditional open-flap surgery with similar esthetic results. This could be important for dentists looking to offer their patients a less invasive and potentially more comfortable option.
Agreement and predictive value of the Clinical Frailty Scale in hospitalised older patients
Authors: Lanckmans Liese , Theou Olga , Noortgate Nele Van Den , Piers Ruth 
Published: April 2024

Abstract
Purpose: Our objective was to determine the agreement of the Clinical Frailty Scale (CFS) by comparing scores obtained by a senior geriatrician, a junior geriatrician, and by using a classification tree. Additionally, we evaluated the predictive value of the CFS for 6-month mortality after admission to an acute geriatric unit.
Methods: This prospective study was conducted in two acute geriatric units in Belgium. The premorbid CFS was determined by senior and junior geriatricians based on clinical judgement. Another junior geriatrician, who did not have a treatment relationship with the patient, scored the CFS using the classification tree. Intraclass correlation coefficient (ICC) was calculated to assess agreement. A ROC curve and Cox regression model determined prognostic value.
Results: In total, 97 patients with a mean age of 86 years (SD 5.2) were included. The reliability of the CFS, when determined by the senior geriatrician and the classification tree, was moderate (ICC 0.526, 95% CI [0.366-0.656]). This is similar to the agreement between the senior and junior geriatricians’ CFS (ICC 0.643, 95% CI [0.510-0.746]). The AUC for 6-month mortality based on the senior geriatrician’s CFS was 0.774. Cox regression analysis indicated that severe or very severe frailty was associated with a higher risk of mortality compared to mild or moderate frailty (hazard ratio 3.476, [1.531-7.888], p = 0.003).
Conclusion: The CFS classification tree can help standardize CFS scoring, enhancing reliability when used by less experienced raters.
E-commerce Recommender System on Twitter using Directed Multilayer Network
Authors: P AKSHAY RAJ K , R RINU RAJ T , JOY JOEL , PAUL RINI T 
Published: April 2024

Abstract
An E-commerce recommender system analyzes user behavior and preferences to suggest personalized product rec- ommendations, enhancing the shopping experience and boosting sales by presenting items likely to interest individual users. Ecommerce recommender system is integrating a directed mul- tilayer network analysis to optimize product recommendations on Twitter. Our methodology involves modeling user interac- tions as a weighted, directed network through Social Network Analysis, providing insights into influential users and dynamic group dynamics. The directed multilayer network approach is implemented by connecting users (one layer) to the conversations and topics (a second layer) they engage in, with inter-layer con- nections reflecting user participation in conversations. Building upon this, we introduce an innovative e-commerce recommenda- tion system that triggers personalized product suggestions to a user’s friends based on their purchase history. This integration harnesses the wealth of self-reported information on Twitter, delivering targeted and socially-informed e-commerce recommen- dations. The study establishes a robust framework, marrying social network insights with an e-commerce recommender system for effective and personalized product promotion within online communities