bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical and Hematological Manifestation of Dengue Patients in 2022 Outbreak: A Tertiary Care Hospital‐Based Cross‐Sectional Study
Authors: Hossain Md. Jubayer , Das Manisha , Shahjahan Muhibullah , Islam Md. Wahidul , Towhid Syeda Tasneem 
Published: January 2025

ABSTRACTBackground and AimsDengue is a mosquito‐borne viral disease that frequently causes seasonal outbreaks in Bangladesh, particularly during the monsoon months from June to September. Recent outbreaks have shown significant shifts in clinical manifestations, including changes in the timeframe and serotype mixing. This study focused on the clinical and hematological profiles of patients during the 2022 outbreak, which was notably severe.MethodsThis quantitative cross‐sectional study at Dhaka Medical College and Hospital classified 67 dengue‐positive patients as having dengue fever (DF), dengue fever with warning signs (DFWS), and severe dengue (SD). Fisher's exact test, Pearson's chi‐squared test, and Wilcoxon rank‐sum test were conducted for statistical analysis using the R software (version 4.2), with significance established at p < 0.05.ResultsPredominantly male patients (76%) aged 21−40 (63%) and middle‐class patients from Dhaka (57%) formed the majority. Most patients (45%) lacked a regular drainage system. Laboratory tests showed 63% NS1 antigen (nonspecific antigen 1) positivity, and 16% tested positive for both NS1 and IgM (Immunoglobulin M). Symptoms included headache (84%), retroorbital pain (51%), joint pain (75%), myalgia (72%), vomiting (75%), abdominal pain (69%), diarrhea (39%), and shock (48%). Thrombocytopenia was present in 61% of patients, with 79% showing elevated hematocrit (HCT) levels. Pedal edema, pleural effusion, and ascites were observed in DF and DFWS cases, while SD cases exhibited distinct HCT level variations.ConclusionAccurate clinical and laboratory assessments are vital for the treatment and prediction of dengue outcomes in Bangladesh, given the severe manifestations of dengue shock syndrome (DSS). It is characterized by headache, muscle pain, thrombocytopenia, anemia, leukopenia, and potential neurological complications or mortality. Severe cases involve critical plasma leakage, leading to DSS with fluid accumulation, respiratory distress, and potential multiorgan involvement. Enhancing physician awareness regarding dengue case detection and management, along with routine dengue testing, are recommended for early diagnosis and improved patient outcomes.
Automatic Measurement of Lower Limb Angles From Pre‐ and Post‐Operative X‐Ray Images Using a Variant SegNet With Compound Loss Function
Authors: Dheivya Iyyakutty , Saravana Kumar Gurunathan 
Published: January 2025

ABSTRACTThis work envisages developing an automated computer workflow to locate the landmarks like knee center, tibial plateau, tibial and femoral axis to measure Femur‐Tibia Angle (FTA), Medial Proximal Tibial Angle (MPTA), and Hip Knee Ankle Angle (HKAA) from the pre‐ and post‐operative x‐rays. In this work, we propose a variant of semantic segmentation model (vSegNet) for the segmentation of the knee and tibia gap for extracting important features used in the automated workflow. Since femur tibia gap is a small region as compared to the complete x‐ray image, it poses severe class imbalance issue. Using a combination of the Dice coefficient and Hausdorff distance as a compound loss function, the proposed neural network model shows better segmentation performance as compared to state‐of‐the‐art segmentation models like U‐Net, SegNet (with and without VGG16 pre‐trained weights), VGG16, MobileNetV2, Pretrained DeepLabv3+ (Resnet18 weights), and Pretrained FCN (VGG16 weights) and different loss functions. We subsequently propose computer methods for feature recognition and prediction of landmarks at femur, tibial and knee center, the side of the fibula and, subsequently, the various knee joint angles. An analysis of sensitivity of segmentation accuracy on the accuracy of predicted angles further substantiate the efficacy of the proposed methods. Dice score of U‐Net, Pretrained SegNet, SegNet, VGG16, MobileNetV2, Pretrained DeepLabv3+, Pretrained FCN, vSegNet with cross‐entropy loss function and vSegNet with compound loss function are observed as , , , , , , , and respectively. Using the proposed network vSegNet and the automated workflow, we obtained an Intraclass correlation of 0.999, 0.994, and 0.997 for the FTA, MPTA and HKAA measurements, respectively, with the ground truth. FTA, MPTA, and HKAA measurements using the proposed automatic pipeline positively correlated with the expert's measurement. The proposed vSegNet with compound loss function handles the challenges posed by class imbalance and obtains the best results as compared to other networks and loss functions tested in the work and also in comparison with contemporary works described in literature.
Molecularly imprinted polyaniline‐modified electrode for quantitative detection of acetaminophen
Authors: Ahmadi Alireza , Masoudi Farid Mohammad , Masoumzadeh Khalkhali Sourena , Piri Farideh 
Published: January 2025

AbstractIn this work, a voltammetry sensor was prepared using the general molecularly imprinted polymer (MIP) method based on polyaniline for detection of acetaminophen (ACT). The polyaniline molecularly imprinted polymer was made by electropolymerization of aniline in the presence of acetaminophen as a template using power supply, and then acetaminophen was separated from the polymer by solvent extraction method. Different concentrations of ACT were detected using cyclic voltammetry (CV) in water‐ethanol solution, and a calibration curve with a limit of detection (LOD) and limit of quantification (LOQ) of 0.43 and 1.42 ppm, respectively, was reported along with a linear equation. The sensor showed a linear range between 5 and 40 ppm for acetaminophen detection. To investigate the selectivity of the reported sensor, a copper electrode was used to detect ACT and an ibuprofen solution was used as analyte for detection by the ACT‐MIP sensor. Additionally, the nonimprinted polymer (NIP) did not show any significant peak in the presence of ACT. This sensor was able to detect acetaminophen dissolved in a real urine sample successfully. This novel sensor is prepared from polyaniline, which is a conductive polymer, and no other reinforcements are needed for the sensor's conductivity in the presence of template molecule, which in this paper is acetaminophen.
Bent Functions on Finite Nonabelian Groups and Relative Difference Sets
Authors: Xu Bangteng 
Published: January 2025

ABSTRACTIt is well known that the perfect nonlinearity of a function between finite groups and can be characterized by its graph in terms of relative difference set in the direct product (cf. [4]). Let be the infinite set of complex roots of unity. A ‐valued function on an arbitrary finite group is associated with a finite cyclic subgroup in the multiplicative group of nonzero complex numbers. For a bent function on in general, its graph is not a relative difference set in the direct product . In this paper, we investigate the necessary and sufficient conditions under which the graph of a bent function on is a relative difference set in . Cyclotomic fields and their integral bases play an important role in our discussions.
Arthroscopic debridement followed by intra‐articular injection of micro‐fragmented adipose tissue in patients affected by knee osteoarthritis: Clinical results up to 48 months from a prospective clinical study
Authors: Bruno Andrea Antonio Maria , Anzillotti Giuseppe , De Donato Massimo , Basso Marco , Tamini Jacopo , Dupplicato Paolo , Kon Elizaveta , Di Matteo Berardo , Arnaldi Enrico 
Published: January 2025

AbstractPurposeMicro‐fragmented adipose tissue is emerging as a promising option for the treatment of various diseases including knee osteoarthritis (OA), though clinical trials are often limited by short follow‐up periods. Our aim was to evaluate the safety and clinical outcomes of an arthroscopic debridement followed by a single injection of micro‐fragmented adipose tissue in patients affected by knee OA.MethodsFrom 2016 to 2020, patients affected by knee OA were enroled. Micro‐fragmented adipose tissue was obtained through the Lipogems® kit and intraarticularly injected after an arthroscopic debridement. Visual analogue scale for pain, Tegner score, Knee Injury and Osteoarthritis Outcome score subscales variations were assessed from baseline to 3, 6, 12, 24 and 48 months of follow‐up.ResultsForty‐one patients were evaluated up to 6 months of follow‐up, 39 patients up to 24 months of follow‐up and 38 patients up to 48 months of follow‐up. Three underwent knee replacement surgery during the time of the study. All the clinical scores analyzed achieved statistically significant changes up to the last follow‐up.ConclusionsA single intra‐articular knee injection of micro‐fragmented adipose tissue following arthroscopic debridement is able to provide significant clinical benefits in patients affected by knee OA up to 4 years of follow‐up.The present clinical study was registered on clinicaltrials.gov (no. NCT06545266).Level of EvidenceLevel IV case series.
High Nutritional Conditions Influence Feeding Plasticity in Pristionchus pacificus and Render Worms Non‐Predatory
Authors: Piskobulu Veysi , Athanasouli Marina , Witte Hanh , Feldhaus Christian , Streit Adrian , Sommer Ralf J. 
Published: January 2025

ABSTRACTDevelopmental plasticity, the ability of a genotype to produce different phenotypes in response to environmental conditions, has been subject to intense studies in the last four decades. The self‐fertilising nematode Pristionchus pacificus has been developed as a genetic model system for studying developmental plasticity due to its mouth‐form polyphenism that results in alternative feeding strategies with a facultative predatory and non‐predatory mouth form. Many studies linked molecular aspects of the regulation of mouth‐form polyphenism with investigations of its evolutionary and ecological significance. Also, several environmental factors influencing P. pacificus feeding structure expression were identified including temperature, culture condition and population density. However, the nutritional plasticity of the mouth form has never been properly investigated although polyphenisms are known to be influenced by changes in nutritional conditions. For instance, studies in eusocial insects and scarab beetles have provided significant mechanistic insights into the nutritional regulation of polyphenisms but also other forms of plasticity. Here, we study the influence of nutrition on mouth‐form polyphenism in P. pacificus through experiments with monosaccharide and fatty acid supplementation. We show that in particular glucose supplementation renders worms non‐predatory. Subsequent transcriptomic and mutant analyses indicate that de novo fatty acid synthesis and peroxisomal beta‐oxidation pathways play an important role in the mediation of this plastic response. Finally, the analysis of fitness consequences through fecundity counts suggests that non‐predatory animals have an advantage over predatory animals grown in the glucose‐supplemented condition.
Review of Methods for Detection Helicobacter pylori in Kazakhstan
Authors: Alyona Lavrinenko , Aizhan Seisenbekova , Aidana Turemuratova , Alexey Shkreba , Yekaterina Yukhnevich 
Published: January 2025

ABSTRACTHelicobacter pylori (H. pylori) infection can cause a wide range of gastrointestinal disorders, including chronic nonatrophic gastritis, multifocal atrophic gastritis, peptic ulcer disease, gastric adenocarcinoma, and extra‐nodal B‐cell lymphoma. Although the prevalence of H. pylori infection has decreased among adults, it is still very common. Approximately 90% of gastric adenocarcinomas are associated with H. pylori infection. Despite the established link between H. pylori infection and noncardiac gastric cancer, and the increasing incidence of gastric cancer in Kazakhstan, there are limited data on the prevalence of H. pylori in the country. This may be due to the difficulty of detecting H. pylori and the unavailability of diagnostic methods. This review presents the current data of diagnostic tests for the detection of H. pylori in Kazakhstan with a focus on limitations and practical significance.
Rapid Generation of Reverse Genetics Systems for Coronavirus Research and High‐Throughput Antiviral Screening Using Gibson DNA Assembly
Authors: Zhou Xinrong , Liu Hongchao , Yang Sidi , Dong Xiaoran , Xie Cailing , Ou Weixin , Chen Jinwei , Yang Zixiao , Ye Yuzhen , Ivanov Konstantin I. , Liu Lihong , Zou Jie , Li Chunmei , Guo Deyin 
Published: January 2025

ABSTRACTCoronaviruses (CoVs) pose a significant threat to human health, as demonstrated by the COVID‐19 pandemic. The large size of the CoV genome (around 30 kb) represents a major obstacle to the development of reverse genetics systems, which are invaluable for basic research and antiviral drug screening. In this study, we established a rapid and convenient method for generating reverse genetic systems for various CoVs using a bacterial artificial chromosome (BAC) vector and Gibson DNA assembly. Using this system, we constructed infectious cDNA clones of coronaviruses from three genera: human coronavirus 229E (HCoV‐229E) of the genus Alphacoronavirus, mouse hepatitis virus A59 (MHV‐59) of Betacoronavirus, and porcine deltacoronavirus (PDCoV‐Haiti) of Deltacoronavirus. Since beta coronaviruses including severe acute respiratory syndrome coronavirus (SARS‐CoV), severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), and Middle East respiratory syndrome coronavirus (MERS‐CoV) represent major human pathogens, we modified the infectious clone of the beta coronavirus MHV‐A59 by replacing its NS5a gene with a fluorescent reporter gene to create a system suitable for high‐throughput drug screening. Thus, this study provides a practical and cost‐effective approach to developing reverse genetics platforms for CoV research and antiviral drug screening.
A Review on the Applications of Quantum Dots in Sample Preparation
Authors: Rezaei Mahdie , Mehdinia Ali 
Published: January 2025

ABSTRACTIn recent years, despite significant advances in preconcentration and preparation techniques that have led to efficient recovery and accurate measurement of target compounds. There is still a need to develop adsorbents with unique and efficient features such as high pore volume and surface area, reactivity, easy synthesis, low toxicity, and compatibility with the environment, which increase the adsorption capacity and increase extraction efficiency. Semiconductor nanocrystals called quantum dots (QDs) with a size of less than 10 nm are three‐dimensional nanoparticles with a spherical, rod, or disc structure that have significant potential in extraction as adsorbents due to their excellent properties such as low toxicity, reactivity, environmental friendliness, and hydrophilic and hydrophobic interactions. One of the most basic issues in the development of adsorbents is to increase the effective surface and, as a result, their extraction efficiency. QDs, having an effective surface much higher than conventional nanomaterials, are a suitable option for extracting target compounds in different environments. This work comprehensively reviews QD‐based extraction methods and surface modification strategies of QDs based on functional groups, ligands, and materials from 2013 to 2024. In addition, the applications of QD‐based composites for the extraction of organic and inorganic analytes (residues of drugs in human blood and plasma, toxins, pesticides, pollutants from chemical industries, heavy metals, etc.) in different matrices are investigated.
Eddy generation in a large, deep dimictic freshwater lake in ice‐free period
Authors: Kouraev Alexei V. , Zakharova Elena A. , Kostianoy Andrey G. , Hall Nicholas M.J. , Ginzburg Anna I. , Rémy Frédérique , Zdorovennov Roman E. , Suknev Andrey Ya 
Published: January 2025

AbstractWe address eddy generation in the middle part of Lake Baikal—a large freshwater dimictic lake in Siberia, where river discharge, wind influence and coastline shape impact horizontal water exchange. We use satellite remote sensing, historical observations and in situ data to follow the different stages of warm and cold anticyclonic eddy generation before and after vertical overturn; an aspect that has received little attention in previous works. Thermal satellite images for 1998–2022 indicate a stable repeating seasonal pattern which is classified into stage of eddy generation and development. Field observations complement satellite imagery to characterize the vertical structure of the eddies. The main source of eddy generation is the outflow from Barguzin Bay which interacts with the coastline. Subsequent eddy generation is driven by density gradients and geostrophic adjustment. In summer, this outflow is dominated by river inflow and lead to the formation of warm anticyclonic eddies. After autumnal vertical overturn, the outflow is forced by the wind bringing cold water from the bay to Middle Baikal and creating cold anticyclonic eddies. We suggest that in the autumn, when the surrounding water cools to a temperature below about 4°C, these cold eddies sink and transform into intrathermocline lens‐like eddies that persist under ice and can later create giant ice rings on the Baikal ice cover.
Differences in Dental Size Among the Indigenous Population of the Canary Islands
Authors: García‐González Rebeca , Morquecho Izquier Aarón , Santana Jonathan 
Published: January 2025

ABSTRACTNonmetric dental traits and odontometrics have demonstrated that pre‐European populations of the Canarian archipelago are closely related to Northwest Africans, revealing varying degrees of interisland diversity. However, a comprehensive study of differences across various islands has not yet been conducted. This study aims to analyze the differences in dental size among the island populations of the Canary Islands during the indigenous period. The mesiodistal (MD) and buccolingual (BL) diameters, along with the geometric mean of the permanent teeth (I1‐M2), were measured in 347 adult individuals from each of the Canary Islands, excluding Lanzarote. Statistical analyses were performed to identify interisland differences in tooth size and between island populations. Two distinct patterns emerged: the populations of Fuerteventura and Gran Canaria had the largest BL and MD diameters, respectively, whereas the populations of El Hierro and La Palma had the smallest values for most teeth. These differences are statistically significant, especially between Gran Canaria (largest teeth) and El Hierro (smallest BL and MD diameters). Our results indicate heterogeneity in dental size, suggesting genetic differences between the eastern and western islands and limited gene flow among islands after the initial settlement. Furthermore, subsistence practices seem to influence these differences. Overall, the findings provide insights into the interplay of genetic isolation, subsistence strategies, body size variations, and sexual dimorphism.
High‐Performance Bionic Architectures via 3D Printing of Recycled Kevlar: A Study of Laser Ablation and Mechanical Properties
Authors: Patadiya Jigar , Kandasubramanian Balasubramanian , Naebe Minoo , Yadav Ramdayal , Dhirhe Devnath , Deshmukh Niranjan , Saini Sahil 
Published: January 2025

ABSTRACTThe study investigates the potential of 3D printing as an eco‐friendly and cost‐effective method to repurpose waste fabrics into valuable products. It explores the use of bio‐inspired structures in 3D printing to gain insights into sandwich structures' mechanical properties and laser ablation characteristics. By incorporating natural skeleton designs such as nacreous and foliated hierarchies and industrial waste material (KF), the research aims to enhance mechanical performance, laser ablation characteristics, and sustainable waste management. The study demonstrates the synergistic application of two distinct additive manufacturing techniques (FDM and DIW) at the micron scale to create nacre‐inspired sheet, columnar, and laminated structures, allowing for manipulation of rigid and pliant material phases within KF waste. The featured architectures are found in the Mollusk Seashell, which improves toughness and strength simultaneously for high‐end mechanical applications. During impact loading, the study highlights the enhanced energy dissipation and delamination properties of foliated structures compared to nacre‐like ones. The research emphasizes that the mass loss of NS + KF comprises the lowest value compared to NC + KF, then FL + KF, and pristine + KF at 375 mJ for 210 s. Ultimately, the findings hold promise for applications in aerospace, defense, automobile, thermal management, laser ablation, and structural components due to the demand for waste utilization, accessibility, environmental responsibility, and green manufacturing practices.
Machine Learning Enabling the Prediction of Activation Energies of SPAAC
Authors: Josephson Jason D. , Pezacki John Paul , Nakajima Masaya 
Published: January 2025

ABSTRACTThis study leverages machine learning to predict the activation energies of strain‐promoted azide‐alkyne cycloaddition (SPAAC) reactions. Using DFT calculations, 631 sets of bond angles and Mulliken charges from two acyclic alkynes were collected. Multiple machine learning models were trained on these data, achieving high accuracy (R2 > 0.95). Both bond angle and charge were crucial for reliable predictions. The models successfully predicted activation energies for SPAAC reactions with unseen cycloalkynes, within certain limitations.
Reconstructing Random Pictures
Authors: Narayanan Bhargav , Yap Corrine 
Published: January 2025

ABSTRACTGiven a random binary picture of size , that is, an grid filled with zeros and ones uniformly at random, when is it possible to reconstruct from its ‐deck, that is, the multiset of all its subgrids? We demonstrate “two‐point concentration” for the reconstruction threshold by showing that there is an integer such that if , then is reconstructible from its ‐deck with high probability, and if , then with high probability, it is impossible to reconstruct from its ‐deck. The proof of this result uses a combination of interface‐exploration arguments and entropic arguments.
Research Progress on Structural Modification and Biological Activities of Geniposide and its Derivatives
Authors: Yang Shaohua , Kong Yuanfang , Yang Bin , Dong Chunhong 
Published: January 2025

AbstractGeniposide, a water‐soluble iridoid glycoside, has multiple pharmacological activities such as hypoglycemic, anticancer, anti‐inflammatory, neuroprotective, cardiac protection, and so on. However, geniposide has the disadvantages of poor fat solubility, short half‐life, and low bioavailability, which makes it unable to play a better role in clinical practice. At present, there is no systematic report on the biological activities and structural modification of geniposide and its derivatives at home and abroad. Through extensive literature research, structural modification and biological activities of geniposide and its derivatives were reported in this paper, providing a research basis for the development of new geniposide drugs in the future.