bluuebunny/crossref_metadata_2025_split huggingface dataset:
Different Digestive Tract Complications of Neonatal-Onset Infants with Severe Cow Milk Protein Allergy
Authors: Ye Liping , Geng Lanlan , Yang Min , Chen Peiyu , Xie Jing , Li Huiwen , Gong Sitang 
Published: June 2024

Abstract

The objective of this study was to summarize different digestive tract complications of five neonatal-onset infants with severe cow milk protein allergy (CMPA) to improve early diagnosis, treatment, and prognosis of CMPA. We retrospectively analyzed various digestive tract complications of the five infants who were hospitalized at Guangzhou Women and Children’s Medical Center from July 2016 to June 2020. All five cases were full-term infants, with age at onset ranging from three to 28 days. Three neonates were formula-fed, and two were mixed-fed. The principal clinical manifestations included fever, diarrhea, vomiting, hematochezia, weight loss, edema, and skin ulcers. One infant was diagnosed with necrotizing enterocolitis (NEC) and underwent surgery. Milk-specific IgE was elevated in three cases, and other food-specific IgE antibodies were elevated in two cases. Case 1 revealed severe erosive esophagitis and pyloric stenosis upon gastroscopy; case 2 revealed intestinal lymphatic dilation upon gastroscopy; case 3 showed scattered crater-like ulcers of varying sizes under colonoscopy, with some of the ulcerated tissues around the ulcers showing polypoid changes; case 4 showed ascites of approximately 16 mm in depth upon abdominal ultrasonographic scan; and case 5 depicted colonic stenosis and erosive colitis upon colonoscopy. All five children were cured after receiving either amino acid formula milk (AAF) or extensively hydrolyzed formula (eHF) for enteral nutrition feeding and supportive treatment. Severe CMPA in neonates presented with atypical clinical manifestations, and a variety of complications in various parts of the digestive tract occurred—including inflammation and stenosis—which were easily misdiagnosed as NEC or very-early-onset inflammatory bowel disease (IBD). We posit that early diagnosis will reduce unnecessary operations and shorten treatment time.
Crystal structures of DCAF1-PROTAC-WDR5 ternary complexes provide insight into DCAF1 substrate specificity
Authors: Mabanglo Mark , Wilson Brian , Noureldin Mahmoud , Kimani Serah , Mamai Ahmed , Krausser Chiara , Gonzalez-Alvarez Hector , Srivast Smriti , Mohammed Mohammed , Chan Manuel , Hoffer Laurent , Avrumutsoae Jamie , Li Alice , Hajian Taraneh , Tucker Sarah , Green Stuart , Szewczyk Magdalena , Barsyte-Lovejoy Dalia , Santhakumar Vijayaratnam , Ackloo Suzanne , Loppnau Peter , Li Yanjun , Seitova Almagul , Kiyota Taira , Wang Jue , Patel Bhashant , Rathod Vaibhavi , Vala Anand , Rout Bhimsen , Poda Gennady , Uehling David , Ramnauth Jailall , Halabelian Levon , Marcellus Richard , Al-awar Rima , Aman Ahmed , Vedadi Masoud 
Published: June 2024

Abstract

Proteolysis-targeting chimeras (PROTACs) have been explored for the degradation of drug targets, particularly undruggable proteins, for more than two decades. They have been employed by various groups successfully, however only a handful of E3 ligase substrate receptors such as CRBN, VHL, MDM2, and IAP have been efficiently used. Downregulation and mutation of these receptors would reduce the effectiveness of PROTACs, thus necessitating the addition of new substrate receptors and E3 ligases to the repertoire to avoid resistance. We recently developed potent ligands for DCAF1, a substrate receptor of EDVP and CUL4 E3 ligases with diverse substrate specificity. Here, we focused on DCAF1 toward the development of PROTACs for WDR5, a drug target in various cancers. We report three DCAF1-based PROTACs with endogenous and exogenous WDR5 degradation effects and solved the first high-resolution crystal structures of DCAF1-PROTAC-WDR5 ternary complexes. The structures reveal detailed insights into the interaction of DCAF1 with various WDR5-PROTACs, including the finding that PROTACs can compress like a spring to similar effective lengths to keep DCAF1 and WDR5 within interaction distance of each other. Furthermore, specific DCAF1 loops play a significant role in providing surface plasticity needed to interact with different PROTAC-WDR5 complexes, reflecting the mechanism by which DCAF1 functions as a substrate receptor for E3 ligases with diverse sets of substrates.
M. tuberculosis bacilli in oral biopsies containing granulomatous inflammation with caseous necrosis
Authors: Signoretti-Silva Rubens Oliveira , Gomez Ricardo Santiago , Diniz Marina Gonçalves , Miranda Silvana Spíndola , Aguiar Renato Santana , Figueredo Lida Jouca Assis , Buzelin Marcelo Araújo , Araújo Thaís Lima , Bernardes Vanessa Fátima 
Published: May 2024

Abstract

Objectives This study aimed to investigate the presence of the Mycobacterium tuberculosis bacillus in formalin-fixed paraffin-embedded (FFPE) oral samples that contained granulomas with caseous necrosis.
Materials and Methods FFPE biopsies that showed granulomas with caseous necrosis, suggestive of the diagnosis of tuberculosis, were selected. M. tuberculosis was searched by Ziehl-Neelsen staining (ZN), immunohistochemistry (IHC), nested-PCR, and GeneXpert® MTB/RIF assays.
Results Nine samples showing granulomas with caseous necrosis were selected. There was a predominance of males (2.5:1), with a mean age of 50 (19-89) years, and the tongue was the most affected anatomical site (n=4). The bacillus was not identified by the ZN technique in any sample, and IHC staining showed a coarse granular pattern staining, suggestive of M. tuberculosis, in three of them. Nested-PCR and the GeneXpert® MTB/RIF assays were positive in two and three of the samples, respectively.
Conclusions Molecular tests and IHC may be useful auxiliary methods for suspected cases of tuberculosis.
Clinical Relevance This study provides information on the utilization and efficacy of diagnostic methods necessary to aid pathologists in accurately diagnosing oral TB lesions.
VITAP: A High Precision Tool for DNA and RNA Viral Classification Based On Meta-omic Data
Authors: Wang Min , Zheng Kaiyang , Sun Jianhua , Liang Yantao , Paez-Espino David , Mcminn Andrew 
Published: May 2024

Abstract

The rapid growth in the number of newly identified DNA and RNA viral sequences underscores the urgent need for an accurate and comprehensive classification system for all viral realms at different levels. Here, a new Viral Taxonomic Assignment Pipeline (VITAP) is established, which addresses these challenges by integrating alignment-based techniques with graph, offering high precision in classifying both DNA and RNA viral sequences and providing confidence scores for each taxonomic unit. This tool automatically updates its database in sync with the latest references from the International Committee on Taxonomy of Viruses (ICTV), efficiently classifying viral sequences as short as 1000 base pairs to genus level. VITAP's performance surpasses existing methods in accuracy, precision and recall across all DNA and RNA viral phyla. Its application in deep-sea viromes has led to significant taxonomic updates, providing more comprehensive diversity information of viruses from deep-sea. The VITAP is available at https://github.com/DrKaiyangZheng/VITAP.
Green synthesis of CuFe 2 O 4 nanoparticles using natural extracts: structural, optical and magnetic studies
Authors: Goli Maryam , Moradi Mehrdad , Bidgoli Reza Dehghani 
Published: May 2024

Abstract

There has been a growing interest in green synthetic methods of nanoscale materials based on natural extracts as they can have potential applications in various technologies and be benign to the environment. Here, copper ferrite (CuFe2O4) nanoparticles (NPs) are green synthesized through the utilization of natural extract surfactants (Cinnamon zeylanicum and Aloe vera) to act as fuel agents in a combustion method. For comparison purposes, CuFe2O4 NPs are also synthesized by polyvinylpyrrolidone (PVP) surfactant, while also investigating structural, morphological, optical, and magnetic properties of the resulting NPs by different techniques. X-ray diffraction patterns indicate the formation of cubic and tetragonal crystal structures using Aloe vera and PVP surfactants, respectively. Field-emission scanning electron microscopic images reveal significant reductions in average size of the green synthesized NPs compared to those prepared in the presence of PVP surfactant. However, the bandgap values of the NPs are similar to each other. Hysteresis loop measurements show enhanced saturation magnetization (Ms= 39.63 emu/g) and decreased coercivity (Hc= 57 Oe) of CuFe2O4 NPs using Aloe vera surfactant compared to Ms= 22.43 emu/g and Hc= 1260 Oe obtained by PVP surfactant. In this regard, first-order reversal curve analysis manifests predominant superparamagnetic contribution of the NPs synthesized in the presence of Aloe vera natural extract.
Assessing the YAM-5 and PeSSKi questionnaires as tools for mental health screening in migrant children ages 7-12 years living on the Thailand-Myanmar border
Authors: Howat John , Paw Ta Pla , Htoo Klay , Win Htun Htun , Hanboonkunupakam Borimas , Nosten François , Fellmeth Gracia , Chu Cindy S 
Published: May 2024

Abstract

Background
Migrant children face worse health outcomes due to structural inequalities and stressors specific to migratory status. In Southeast Asia, there are limited data regarding the prevalence of mental health disorders and symptoms of stress within the paediatric migrant population. Screening tools such as the Youth Anxiety Measure for DSM-5 (YAM-5) and the Perceived Stress Scale for Kids (PeSSKi) have been validated in non-migrant populations. They may offer a practical means of detecting symptoms of mental health disorders or childhood stress. However, their suitability first must be assessed in Southeast Asian migrant communities before studies on validation can be performed.
Methods
We conducted cognitive interviews and semi-structured interviews to assess the understanding and applicability of these two tools amongst migrant children from Myanmar aged 7–12 years living in Northwest Thailand along the Myanmar border.
Results
Interviews with 10 children indicated a good level of understanding of most ofthe surveys’ contents, with 21 of the 28 questions on YAM-5 and 7 of the 10 PeSSKi questions needing no further clarification in any session. Four themes emerged from analysis of the semi-structured interviews: areas of uncertainty, understanding of the purpose of the questionnaires, sources of fear and anxiety and attitudes to mental wellbeing. Observational analysis of children’s behaviour during participation suggested the surveys were engaging and useable.
Conclusions
The YAM-5 and PeSKKi screening surveys are suitable for migrant children living along the Thailand-Myanmar border. These tools must next be validated to assess their psychometric properties and internal consistency and reliability in the same population.
Trial registration
Thai Clinical Trials Registry, HCR23005, registered on 02 May 2023.
Low mean hemoglobin is associated with postoperative cerebral ischemia complications of moyamoya disease
Authors: Wu Haitao , Wang Tingxuan , li fangbao , Lu Bin , Bao Yue , Chu Haitao , Li Luo 
Published: June 2024

Abstract

Hemoglobin(HB)has been shown to be associated with poor prognosis in several cardiovascular diseases. There are limited studies on HB and postoperative cerebral ischemia complications of moyamoya disease (MMD). The objective of this study is to examine the relationship between postoperative cerebral ischemic complications of MMD and HB, with the aim of developing a predictive model. We collected demographic information as well as multiple hemoglobin values (minimum HB, maximum HB, mean HB, preoperative HB,postoperative HB from 115 patients with MMD, 37 of whom developed symptoms of cerebral ischemia after revascularization.Multivariate logistic regression methods showed that mean HB was an independent risk factor for cerebral ischemic complications in MMD(p = 0.015). The restricted cubic spline to further explored and visualize the association between them.The Analysis of the area under the receiver operating characteristic curve (AUC) value was 0.850. The Decision curve analysis (DCA) curve showed that the individual threshold probability ranged from 7–95%. In our study, low mean HB was significantly associated with cerebral ischemic complications of MMD after revascularization, but not with patient mortality. We also created a column-line diagram about them. It suggested that low mean HB is an independent risk factor for cerebral ischemic complications of MMD revascularization.
Intelligent prediction model for water inrush risk in RF water-rich tunnel based on AHP improvement
Authors: Wan Fei , Zhang Nian , Niu Mengmeng , Lu Jiale , Xu Dongliang , Yan Xuehui , Zhou Caifeng 
Published: June 2024

Abstract

To prevent large-scale water inrush accidents during the excavation process of the rich water tunnel, a method based on AHP improved RF for intelligent risk prediction of the water-rich tunnel is proposed. By analyzing the influence of geological and hydrological conditions, design factors, and construction factors, 13 factors were selected as evaluation indicators for the risk of water inrush in the water-rich tunnel, including stratum lithology, poor geology, rock inclination, negative topographic area ratio, surrounding rock grade, hydrodynamic zoning, tunnel length, tunnel burial depth, tunnel section area, advanced geological prediction, excavation method, advance support, and monitoring measurement; Through statistical analysis of a large number of accident cases, a dataset of water inrush accidents in the water-rich Tunnel was established and preprocessed. Using the RF model in machine learning, the weights of each indicator in the RF model are calculated through the application and parameter optimization of the dataset. Then, the weights are optimized through AHP and imported into the RF model to obtain the improved RF-AHP model. Compared with the test set prediction results of the RF model's RF-AHP model, the accuracy of the RF-AHP model reaches 98%, which is better than the RF model's 96%. This indicates that the performance of the improved RF model based on AHP has been improved, and it has good performance in predicting the risk of water inrush in the water-rich tunnel, providing a new means for predicting the risk of water inrush in the water-rich tunnel.
Sulfonated Lignin-based Phenol-formaldehyde Resin: Stability and Aggregation Structure Changes During Aggregation
Authors: Zhao Dan , Yang Weili , Shen Guanglite , Zhang Wenhui , Feng HuiXia 
Published: May 2024

Abstract

Phenol-formaldehyde resin can be used to improve oil recovery, its key lies in its aggregation behavior and blocking strength. However, the traditional phenol-formaldehyde resin used in the petroleum field was all prepared by phenol and formaldehyde. In order to get rid of the dependence on fossil resources and make full use of renewable biomass resources, we used the abandoned walnut shells of the unique agricultural and forestry crops in Gansu province, which contains lignin partially replaced phenol to synthesize the new sulfonated lignin-based phenol-formaldehyde resin (SLPFR). In this work, the aggregation behaviour and dispersion stability of SLPFR were investigated from the composition of formation water. The effects of metal cations (Na+, Mg2+, Ca2+) on the dispersion stability of SLPFR in formation water were determined by turbidimetry, and the effects of metal cations on the particle size and zeta potential of the SLPFR system were measured by dynamic light scattering method and electrophoretic light scattering method. The stability of the aggregate structure of the SLPFR system was calculated by combining the fractal dimension. In this paper, the surfactant + SLPFR system and partially hydrolyzed polyacrylamide (HPAM) + SLPFR system are designed for the specific conditions of oil reservoirs, and the effects of metal cations on the aggregation behaviour and dispersion stability of these two systems are studied. Based on the above comprehensive analysis, aggregation models were constructed to describe the aggregation behaviour and dispersion stability of the HPAM + surfactant + SLPFR system. This makes it possible to predict in real time the migration and plugging of SLPFR aggregates in formation water.
The effect of storage time on apical microleakage with cold ceramic and mineral trioxide aggregates
Authors: Mokhtari Fatemeh , Ekran Hamzeh , Yousefi Mohammad Hossein , Khodabakhsh Mohammad 
Published: June 2024

Abstract

Background
Endodontic therapy is conducted by replacing a neutral substance in the pulp space of the tooth to prevent the root canal. Mineral trioxide aggregate (MTA) and cold ceramic (CC) have been used in recent studies. Here, we aimed to investigate and compare the sealing power of CC and MTA over time.
Methods
In this experimental study, 100 single canal teeth from humans were used. The crowns of all teeth were cut by milling at the junction between the enamel and cement. Canal preparation was performed up to a final file size of 45. The samples were divided into 4 groups: MTA, cold ceramic, negative control and positive control. The samples were immersed in 2% methylene blue solution for 3 days, and the data were analyzed by statistical methods.
Results
There was no significant difference in dye penetration between the two cold ceramic materials and MTA at either time point (pv < 0.05).
Conclusions
The apical seal capabilities of both the cold ceramic root filler and MTA were not different, although further studies are needed due to the novelty of the cold ceramic.
Investigation of microcapsules based self-healing composites embedded with carbon nanotubes for improved healing efficiency
Authors: V Naveen , Kumar Drisya R , NT Manikandanath R , A Sri Ganesh R , Shri Siju , G Srinivas 
Published: June 2024

Abstract

Self-healing composites are smart materials that can self-detect and prevent micro crack propagation and any catastrophic failure in the composite structure. In this study, dicyclopentadiene (DCPD) monomer was encapsulated with urea formaldehyde (UF) by in situ polymerization. These microcapsules were mixed with epoxy, chopped carbon fiber (CF), and multi-walled carbon nanotubes (CNT) to make self-healing composite. Both microcapsules and the composite specimens were extensively tested for their physical, thermal, and mechanical properties. The average diameter and shell thickness of the microcapsules were 268 µm and 805 nm, respectively. DMA analysis suggested that the microcapsules have a glass transition temperature (Tg) of 85°C. FTIR analysis confirmed the presence of CF, multi-walled carbon nanotubes (MWCNT), and other constituents in the composite. The tensile strength of the self-healing composites was tested as per ASTM standards. The incorporation of MWCNT in the composites has significantly improved the tensile strength of the composite without compromising on the self-healing efficiency (90%) compared the unmodified samples (72%). The encouraging results of higher glass transition temperature (85°C) combined with an improved healing efficiency (90%), can be considered as the novelties of this work. As the test results of microcapsules and composite specimens were encouraging, they can find applications in making composite structures for aerospace, windmills, and marine applications. The experimental observations and test results are discussed in detail.
Smart irrigation for coriander plant: Saving water with AI and IoT
Authors: Paria Abhirup , Giri Arindam , Dutta Subrata , Neogy Sarmistha 
Published: June 2024

Abstract

Accurate forecasting of water requirements is crucial for optimizing irrigation and water preservation. However, the Food and Agriculture Organization(FAO Irrigation and Drainage paper 56) Penman-Monteith(PM) model is observed as the highest quality method for evapotranspiration (EVT0 ) forecasting. However, using the PM model is often restricted by the need for predicted climatic factors, particularly solar radiation. This research article presents a real-time intelligent watering system for coriander plants that can be monitored using smartphones. The system uses a hybrid machine-learning technique and Internet of Things (IoT) sensors to sense weather circumstances directly from the crop field. Nine distinct hybrid neural network models ((HML1, HML2 …, HML9)) are developed to predict water requirements using climate and environmental variables. These models are optimized using a genetic algorithm to achieve optimal efficiency. The EVT0 forecasts of the proposed approach are being compared against the standard FAO56 Penman-Monteith technique. An in-depth analysis of the highly successful HML4 model is conducted, and the findings are used in a developed Android application that enables real-time monitoring. In addition, the most favourable parameters are determined to achieve even more improved outcomes. This intelligent irrigation system can significantly minimize flood irrigation, water consumption, and labour expenses.
Development and evaluation of an online education module to improve clinician knowledge and management of eating disorders in the peripartum: A pre-post survey study
Authors: Ellis Aleshia , Roberts Susan , Gillespie Kerri , Branjerdporn Grace 
Published: June 2024

Abstract

Objective: Eating disorders (EDs) in peripartum women is a growing concern. However, maternity staff receive little training in this area and often report feeling ill-equipped to recognise or respond to women with EDs in the perinatal period. The study aimed to develop and evaluate an online educational module for clinicians and support workers to improve knowledge of EDs in the peripartum.
Method: Education modules were developed using a co-design process with consumer advocates, peer support workers, clinicians and experts. Consumer perspectives, evidence-based videos, activities, and text relating to screening, management, monitoring and referral of perinatal women with EDs were included in the module. Pre- and post- surveys were used to evaluate changes in knowledge and confidence before and after completing the module, and to assess staff satisfaction, usability, and obtain feedback for improvement.
Results:Use of the online education module significantly increased staff knowledge of EDs in the Peripartum. Participants also felt more confident in discussing the topic with patients, screening, supporting, and referring a person with ED in the perinatal period. Participants also reported the module was engaging and easy-to-use.
Conclusions: Findings indicate that the ED online education module is an engaging and easy-to-use tool for improving the knowledge and skills of the healthcare workforce, thereby improving patient care and health outcomes. The development of additional online resources for clinicians would be beneficial for increasing staff capability and improving patient services.