bluuebunny/crossref_metadata_2025 huggingface dataset:
Infectiological Outcome of Total Hip and Total Knee Arthroplasty in Post-Traumatic and Primary Osteoarthritis
Authors: Gresch Maximilian , von Dercks Nikolaus , Dietze-Jergus Nadine , Roth Andreas , Pempe Christina
Published: December 2024

Background: The objective of this study was to compare infection rates, pathogen species detection and antimicrobial susceptibility testing in patients with total hip arthroplasty (THA) and total knee arthroplasty (TKA) following post-traumatic osteoarthritis (PTOA) and primary osteoarthritis (POA). Results: Patients undergoing both THA and TKA were significantly more likely to have a PJI after PTOA than after POA (THA: 2.5% vs. 10.2%, p = 0.003; TKA: 3.2% vs. 10.3%, p = 0.028). The most frequently detected pathogen in both THA and TKA was Staphylococcus spp. Among patients with a PJI in THA, Staphylococcus spp. was detected in 47% after POA and 60% after PTOA. Among patients with a PJI in TKA, Staphylococcus spp. was isolated in 59% after POA and 80% after PTOA. The remaining pathogens were mainly Enterococcus spp., Enterobacterales and anaerobic bacteria. After THA, beta-lactam-resistant staphylococcal isolates were detected more frequently in PTOA patients than in POA patients (13% vs. 100%, p = 0.024). There was no difference in the beta-lactam staphylococcal resistance rate in patients after TKA (20% vs. 25%, p = 0.945). Furthermore, an analysis of susceptibility testing from all groups showed that significantly more pathogens were susceptible to vancomycin than to cefuroxime (76% vs. 45%, p < 0.001) or clindamycin (76% vs. 52%, p = 0.007). Methods: A retrospective analysis was performed using clinic-owned data during the period January 2016–December 2020. A total of 1485 patients following primary implantation of THA or TKA due to PTOA or POA were included. Early-onset periprosthetic joint infection (PJI), defined according to the 2018 Definition of Periprosthetic Hip and Knee Infection Criteria, was evaluated. Conclusions: Therefore, the use of vancomycin as a perioperative prophylaxis should be discussed under benefit/risk consideration in further studies.
Advancements in Biosensors for Lipid Peroxidation and Antioxidant Protection in Food: A Critical Review
Authors: Daci Majlinda , Berisha Liridon , Mercatante Dario , Rodriguez-Estrada Maria Teresa , Jin Zongxin , Huang Yeqin , Amorati Riccardo
Published: December 2024

This review highlights the progress made in recent years on biosensors aimed at detecting relevant analytes/markers of food peroxidation. Starting from the basic definition of biosensors and the chemical features of peroxidation, here we describe the different approaches that can be used to obtain information about the progress of peroxidation and the efficacy of antioxidants. Aptamers, metal–organic frameworks, nanomaterials, and supported enzymes, in conjunction with electrochemical methods, can provide fast and cost-effective detection of analytes related to peroxidation, like peroxides, aldehydes, and metals. The determination of (poly)phenols concentrations by biosensors, which can be easily obtained by using immobilized enzymes (like laccase), provides an indirect measure of peroxidation. The rationale for developing new biosensors, with a special focus on food applications, is also discussed.
Multipoint Thermal Sensing System for Power Semiconductor Devices Utilizing Fiber Bragg Gratings
Authors: Isa Ridwanullahi , Iqbal Naveed , Abido Mohammad , Mirza Jawad , Qureshi Khurram Karim
Published: December 2024

This study investigates the feasibility of using fiber Bragg grating (FBG) sensors for multipoint thermal monitoring of several power semiconductor devices (PSDs), such as insulated gate bipolar transistors (IGBTs), and rectifiers assembled on a common heatsink in a three-phase inverter. A novel approach is proposed to integrate FBG sensors beneath the baseplates of the IGBT modules, avoiding the need for invasive modifications to the device structure. By strategically positioning multiple FBG sensors, accurate temperature profiles of critical components can be obtained. The experimental results demonstrate the effectiveness of the proposed method, with the temperature measurements from FBG sensors closely matching those obtained using thermal infrared (IR) cameras within ±1.1 °C. This research highlights the potential of FBG sensors for reliable and precise thermal management in power electronic systems, contributing to improved performance and reliability.
Distalization Methods for Maxillary Molars Utilizing Temporary Anchorage Devices (TADs): A Narrative Review
Authors: Oğuz Fırat , Özden Samet , Cicek Orhan
Published: December 2024

Class II malocclusions, characterized by the mesial positioning of the maxillary molars relative to the mandibular molars, are among the most frequently encountered orthodontic issues. One of the widely adopted non-extraction approaches for addressing this malocclusion is maxillary molar distalization, which has been utilized for decades to create space within the dental arch. Historically, extraoral appliances such as headgear were commonly employed. However, with technological advancements, intraoral distalization devices, particularly those incorporating temporary anchorage devices (TADs), have gained prominence due to their compact size, not being visible externally, and improved patient acceptance. These appliances offer significant advantages, including being less invasive compared with extraction-based camouflage treatments, being more readily accepted by patients due to the absence of extraction spaces, and not requiring the complex biomechanical principles involved in extraction-based methods. TADs have revolutionized distalization techniques by providing superior anchorage control, reducing treatment duration, and offering a straightforward, patient-friendly application. The purpose of this comprehensive narrative review is to focus specifically on intraoral distalization techniques utilizing TADs, summarizing their efficacy and outcomes in the management of Class II malocclusions as reported in clinical studies over the past three decades.
Interpretation of a 3D Magnetotellurics Model of the Aceh and Seulimeum Segments of the Sumatran Fault Zone
Authors: Roodhiyah Lisa Yihaa , Nurhasan  , Tiffany  , Pratomo Prihandhanu Mukti , Susilawati Anggie , Supriyadi  , Ogawa Yasuo , Sugiyanto Didik , Sutarno Doddy , Srigutomo Wahyu
Published: December 2024

The Sumatran Fault runs from the southeast (SE) to the northwest (NW) of Sumatra Island, with the highest slip rates reaching about 3.0 cm per year in the northwestern part. There is a seismic gap along this fault, including the northern Aceh domain, which consists of the Aceh and Seulimeum fault segments. Previous studies have used various methods to investigate the Sumatran Fault system, including seismic, geoelectric, gravity anomaly, and magnetotellurics (MT). The MT method has proven advantageous as it can non-destructively image a wide range of depths. However, previous studies using the two-dimensional (2D) MT inversion did not represent realistic information of the subsurface conditions. Therefore, a three-dimensional (3D) MT data inversion was used in this study to obtain more realistic information about the resistivity structure of the Aceh and Seulimeum segments. The results confirmed that the Sumatran Fault is a strike-slip fault, with a relatively northwest (NW)–southeast (SE) direction of conductivity strike with an angle of S 71.61° E from Groom–Bailey decomposition of MT data. The 3D resistivity distribution model from 33 stations showed that the Aceh Fault Segment is 20–30 km away, while the Seulimeum Fault Segment is 55–60 km away based on the MT data. The results also indicated a creeping zone at a depth of 2 km beneath the Aceh Fault Segment. Different rock formations were identified beneath the fault system, with the western part of the Aceh Segment dominated by high-resistivity metamorphic rocks (150–1000 Ωm) from the Triassic–Cretaceous age. The zone between the Aceh and Seulimeum fault segments exhibited low resistivity, characterized by volcanic rocks (1–15 Ωm) from the Lam Teuba Volcanic Formation and the Indrapuri Formation. Beneath the eastern part of the Seulimeum Fault Segment was found to consist of low-resistivity quaternary volcanic rocks (1–15 Ωm) and high-resistivity andesite rocks (4.5 × 104–1.7 × 105 Ωm). These findings correlated well with the geological map.
Design of NO2 Photoacoustic Detection System Based on Finite Element Simulation
Authors: Wu Long , Chen Tao , Xiang Biao , Xing Likun
Published: December 2024

Based on photoacoustic spectroscopy and finite element simulation technology, a simulation model of sound field excitation in a cylindrical resonant photoacoustic cell was established. The finite element simulation method was used to analyze the acoustic mode and sound pressure distribution of the cavity structure of the photoacoustic cell. The effects of the geometric parameters of the resonator and the buffer cavity on the performance of the photoacoustic cell were compared. The frequency response characteristics of the photoacoustic cell and the effects of the air intake and the air outlet were studied. Based on the simulation results, a cylindrical resonant photoacoustic cell was designed, and a photoacoustic sensor for NO2 detection was built. NO2 with a volume fraction of 10−5 was taken as the sample gas through frequency scanning to obtain the frequency response curve of the system. The resonant frequency is 1730 Hz, and the cell constant is about 542.3 (Pa*cm)/W. The quality factor is 10.05. By linear fitting the calibration curve of the sensor, the fitting slope is 0.012 µV/ppb, and R2 is 0.998. Atmospheric NO2 detection was carried out for two consecutive weeks, whose findings are in good agreement with the data released by a Huainan environmental monitoring site. The experimental results show that the system can detect NO2 in the atmosphere with high sensitivity.
Effects of Saccharomyces paradoxus Fermentation on White Wine Composition: Insights from Integrated Standard and Metabolomics Approaches
Authors: Lukić Igor , Delač Salopek Doris , Horvat Ivana , Pasković Igor , Hranilović Ana , Rajnović Ivana , Vojvoda Zeljko Tanja , Carlin Silvia , Vrhovsek Urska
Published: December 2024

Despite its promising potential, the capabilities of Saccharomyces paradoxus in commercial winemaking are still unutilized and require further investigation. In this study, the effects of fermentation by a S. paradoxus strain P01-161 on the composition of Malvazija istarska white wine in two harvest years were investigated. A range of complementary standard and metabolomics analysis approaches were applied, including OIV methods for basic parameters; HPLC-DAD-RI for organic acids, glycerol, and proteins; UPLC/MS/MS for phenolic compounds; and GC/FID, GC/MS, and GC × GC/TOF-MS for volatile compounds. The harvest year exhibited a significant impact, but many distinctive traits of S. paradoxus versus S. cerevisiae control wines were consistent across the seasons. These included reductions in malic acid and certain phenols and pathogenesis-related proteins. Saccharomyces paradoxus fermentation yielded higher levels of glycerol, volatile acidity, and specific thaumatin-like proteins. Among a total of 474 identified volatile compounds, S. paradoxus exhibited lower concentrations of several odoriferous alcohols, acids, and esters, as well as higher concentrations of β-damascenone, acetaldehyde, isobutyric acid, ethyl 2-methylbutyrate, ethyl acetate, isobutyl acetate, various esters of succinic and lactic acids, accompanied by numerous minor compounds, when compared to S. cerevisiae. These differences suggest the potential for distinct sensory profiles produced by the two yeasts, indicating that S. paradoxus could be a promising alternative for white wine production.
A Study on the Effect of Drift Factor on Feature Optimization in Electronic Nose Detection
Authors: Cai Minhao , Xu Sai , Zhou Xingxing , Lu Huazhong , Liang Xing
Published: December 2024

As an important instrument for olfactory detection in non-destructive testing (NDT), the electronic nose plays an important role in simulating olfactory detection. However, its performance is often affected by drift phenomena, including changes in sensor performance caused by environmental factors and olfactory fatigue due to long-term use. Although the effect of drift on the performance of electronic noses is widely recognized, there is still a relative lack of research on how drift affects feature optimization. This study presents a novel idea that drift factors not only affect the direct readings of the sensor but may also have a profound effect on the feature optimization process and hence the compensation of the electronic nose. To explore this concept, we chose temperature and humidity, the two most common environmental drift factors, for our experimental study. In our study, we verified the impact of drift factors on feature optimization and found a positive correlation between the concentration of sensor scores and the correct classification rate. Moreover, we adopted an innovative quadratic feature optimization method, which aims to reduce the influence of the drift factor on the feature optimization process and thus improve the drift resistance of the electronic nose. In our experiments, we found that the unweighted quadratic feature optimization method performs best in reducing the drift effect. After the optimization process, the recognition rate reaches 100% in the training set and 96% in the test set, which indicates that the electronic nose has improved significantly in terms of drift resistance. In summary, this study explores the effect of drift factors on feature optimization and proposes an effective treatment method, which provides a reference direction for the development and optimization of electronic nose technology.
FIDO2 Facing Kleptographic Threats By-Design
Authors: Kutyłowski Mirosław , Lauks-Dutka Anna , Kubiak Przemysław , Zawada Marcin
Published: December 2024

We analyze the popular in practice FIDO2 authentication scheme from the point of view of kleptographic threats that have not been addressed so far in the literature. We show that despite its spartan design and apparent efforts to make it immune to dishonest protocol participants, the unlinkability features of FIDO2 can be effectively broken without a chance to detect it by observing protocol executions. Moreover, we show that a malicious authenticator can enable an adversary to seize the authenticator’s private keys, thereby enabling the impersonation of the authenticator’s owner. As a few components of the FIDO2 protocol are the source of the problem, we argue that either their implementation details must be scrutinized during a certification process or the standardization bodies introduce necessary updates in FIDO2 (preferably, minor ones), making it resilient to kleptographic attacks.
Seismic and Post-Seismic Ductility and Forces of Mid-Story Pin Moment-Resisting Frames Based on Scale of Local Deformation of I-Beam’s Segments
Authors: Suzuki Atsushi , Che Ruiyu , Kimura Yoshihiro
Published: December 2024

A mid-story pin system to avoid moment-resisting frame column failure during seismic action was proposed recently. The solution consists of a reinforced concrete (RC) pier protruding from the foundations, the steel column connected with the superstructure, and plates and the anchor bolt working as a pinned connection in between. This paper utilizes shell finite element analysis (FEA) models to examine the demanded column-to-beam strength ratio to keep the column elastic and maximize the story drift at the moment of beam buckling of the frame. The method of calculating post-seismic residual strength based on maximal buckling deformation of the beam is also proposed.
Bacterial Resistance to Mercury: A Mini-Review
Authors: de Mattos D’Avila Daniel Gonçalves , Ferrari Rafaela Gomes , de Almeida Rodrigues Paloma , Neves Gabriel Lata , Ramos Filho Alexandre Mendes , Baptista Mano Rami Fanticelli , Conte Junior Carlos Adam
Published: December 2024

With the increase in mercury pollution around the world, several bacteria have been identified that are capable of resisting mercury toxicity. With this in mind, the aim of this review was to determine which genes are involved in mercury resistance, which bacterial genera exhibit this resistance, and which bacterial isolation sources have been most reported. To answer these questions, the PICO method (population, intervention, comparison, and outcome) was used, three databases were searched, and 17 relevant articles were included. As a result, resistance is due to a set of mer genes that transcribe mer proteins. The most important genes identified were merA and merR, and their proteins confer resistance by reducing Hg to Hg+2 or Hg0. Among the bacteria studied, those of the genera Pseudomonas, Escherichia, and the phylum Cyanobacteria stand out, the most important being Escherichia coli and Synechocystis sp., which are highly efficient and fast at reducing Hg. Based on the results, Escherichia coli and Synechocystis sp. are promising candidates for reducing environmental Hg, especially in aquatic environments. However, there is a lack of studies on the mechanism of bioremediation carried out by cyanobacteria and the influence of abiotic factors on the presence and/or expression of mer genes.
Retention of Engineered Nanoparticles in Drinking Water Treatment Processes: Laboratory and Pilot-Scale Experiments
Authors: Konradt Norbert , Schneider Laura , Bianga Stefan , Schroden Detlef , Janknecht Peter , Krekel Georg
Published: December 2024

While microparticles can be removed by a filtration step at a drinking water treatment plant (DWTP), engineered nanoparticles (ENPs), which are widely used in industry, commerce and households, pose a major problem due to their special properties, e.g., size, reactivity and polarity. In addition, many ENPs exhibit toxic potential, which makes their presence in drinking water undesirable. Therefore, this study investigated the removal of ENPs in the laboratory and at a pilot-scale DWTP. Eight ENPs were synthesized and tested for stability in different types of water. Only three of them were stable in natural water: cetyltrimethylammonium bromide-coated gold (CTAB/AuNPs), polyvinylpyrrolidone-stabilized gold and silver nanoparticles (PVP/AuNPs, PVP/AgNPs). Their retention on quartz sand, silica gel and fresh anthracite was low, but CTAB/AuNPs could be retained on fresh river sand and thus should not overcome riverbank filtration, while PVP/AuNPs and PVP/AgNPs showed no retention and may be present in raw water. During ozonation, PVP/AuNPs remained stable while PVP/AgNPs were partially degraded. The advanced oxidation process (AOP) was less effective than ozone. PVP/AgNPs were almost completely retained on the pilot plant anthracite sand filter coated with manganese(IV) oxide and ferrihydrite from raw water treatment. PVP/AuNPs passed the filter with no retention. In contrast to PVP/AuNPs, PVP/AgNPs and CTAB/AuNPs were also retained on activated carbon. The integration of a flocculation step with iron(III) salts can improve ENP removal, with PVP/AuNPs requiring higher flocculant doses than PVP/AgNPs. PVP/AuNPs, in particular, are well-suited for testing the effectiveness of water treatment. Further data on the occurrence of stable ENPs in raw water and their behavior during water treatment are needed to perform a risk assessment and derive the measures.
Exploring Regenerative Aquaculture Initiatives for Climate-Resilient Food Production: Harnessing Synergies Between Technology and Agroecology
Authors: Ogello Erick , Muthoka Mavindu , Outa Nicholas
Published: December 2024

This review evaluates regenerative aquaculture (RA) technologies and practices as viable pathways to foster resilient, ecologically restorative aquaculture systems. The key RA technologies examined include modern periphyton technology (PPT), biofloc technology (BFT), integrated multitrophic aquaculture (IMTA), and alternative feed sources like microalgae and insect-based diets. PPT and BFT leverage microbial pathways to enhance water quality, nutrient cycling, and fish growth while reducing environmental pollutants and reliance on conventional feed. IMTA integrates species from various trophic levels, such as seaweeds and bivalves, to recycle waste and improve ecosystem health, contributing to nutrient balance and reducing environmental impact. Microalgae and insect-based feeds present sustainable alternatives to fishmeal, promoting circular resource use and alleviating pressure on wild fish stocks. Beyond these technologies, RA emphasizes sustainable practices to maintain fish health without antibiotics or hormones. Improved disease monitoring programs, avoidance of unprocessed animal by-products, and the use of generally recognized as safe (GRAS) substances, such as essential oils, are highlighted for their role in disease prevention and immune support. Probiotics are also discussed as beneficial microbial supplements that enhance fish health by promoting gut microbiota balance and inhibiting harmful pathogens. This review, therefore, marks an important and essential step in examining the interconnectedness between technology, agroecology, and sustainable aquaculture. This review was based on an extensive search of scientific databases to retrieve relevant literature.
A Black Cartographer of the Long Eighteenth Century: Anastácio de Sant’Anna’s Guia de Caminhantes
Authors: Rarey Matthew Francis
Published: December 2024

From 1816 to 1817, Anastácio de Sant’Anna, a pardo (mixed-race) artist and cartographer active in Salvador, Bahia, Brazil, produced the Guia de Caminhantes, a manuscript atlas of Brazil and the Americas. Sant’Anna’s Guia is one of the few extant cartographic works produced by a Black artist during the slavery era. Discussing the Guia in English for the first time, this essay positions Sant’Anna’s work inside of the emergent subfield of Black Geographies. It argues that Sant’Anna used the Guia to advocate for the place of Black and Indigenous histories in Brazil’s nascent, post-colonial national identity, while also interrogating the history of cartography and landscape painting in colonial Brazil.
Kris Martin: Altar/Altering Perspectives
Authors: Shelby Karen
Published: December 2024

Kris Martin: Altar/Altering Perspectives Flemish artist Kris Martin’s work exists in relationship to the city of Ghent and his reflection on that city’s medieval past. His pieces that implicitly engage with the Ghent Altarpiece by Hubert and Jan van Eyck question the position of human beings in both physical and subjective relationships to works of art. They invite viewers, particularly residents of Ghent, to participate in a new narrative of Ghent, one that is framed, sometimes literally, by the layers of Romanesque and Gothic art and architecture and the symbolism and visual language of Flemish Christianity. They reveal his baroque interest in bringing together tradition and a contemporary conceptual ideology and fall somewhere between the theatricality of the carnival and the artificiality of the spectacle. While a few pieces pointedly reference a Flemish Catholic ideology, the medieval manipulation of the public and the direct iconography are missing. Through his manipulation of scale and placement in non-traditional locations, the pieces are open to new readings beyond the emotive and didactic. But, much in the tradition of the Northern Renaissance, they engage the viewer intellectually and ask for introspection.
Study of Cathode Materials for Na-Ion Batteries: Comparison Between Machine Learning Predictions and Density Functional Theory Calculations
Authors: Ronchetti Claudio , Marchio Sara , Buonocore Francesco , Giusepponi Simone , Ferlito Sergio , Celino Massimo
Published: December 2024

Energy storage technologies have experienced significant advancements in recent decades, driven by the growing demand for efficient and sustainable energy solutions. The limitations associated with lithium’s supply chain, cost, and safety concerns have prompted the exploration of alternative battery chemistries. For this reason, research to replace widespread lithium batteries with sodium-ion batteries has received more and more attention. In the present work, we report cutting-edge research, where we explored a wide range of compositions of cathode materials for Na-ion batteries by first-principles calculations using workflow chains developed within the AiiDA framework. We trained crystal graph convolutional neural networks and geometric crystal graph neural networks, and we demonstrate the ability of the machine learning algorithms to predict the formation energy of the candidate materials as calculated by the density functional theory. This materials discovery approach is disruptive and significantly faster than traditional physics-based computational methods.
Special Issue: Artificial Intelligence in Advanced Medical Imaging
Authors: Jia Huang , Jiao Qingliang , Liu Ming
Published: December 2024

Medical imaging is of great significance in modern medicine and is a crucial part of medical diagnosis [...]
Contemporary Survival Selection Fails to Explain Observed Patterns of Phenotypic Divergence Between Suburban and Forest Populations of the Cuban Endemic Lizard, Anolis homolechis
Authors: Vidal Annabelle , Cézilly Frank , Pradel Roger
Published: December 2024

Although urbanization is a major threat to biodiversity, some native species have managed to persist in urban areas. Populations of such species often show phenotypic differences with their rural counterparts. A crucial question is whether such differences result from different selection regimes between habitats. As previous studies showed that suburban and forest populations of Anolis homolechis differ in both body size and sex ratio, we tested the effect of urbanization on adult survival in those populations based on a long-term capture–marking–recapture survey and replicated design. We assessed the evidence for directional and stabilizing selection on size in two suburban and two forest populations by modeling apparent adult survival and recapture probability separately. Adult survival did not differ between habitat types. In addition, there was no evidence for size-related differential selection on adult survival between habitats. However, irrespective of habitat, we found significant stabilizing selection on female size, whereas male survival was independent of size. Overall, sex had a significant effect on survival independent of habitat type (monthly survival probability: 0.80 for males vs. up to 0.89 for females of optimal size). We discuss our results in relation to the potential mechanisms involved in the observed phenotypic differentiation of A. homolechis and other lizard species in areas transformed by urbanization.
Overview of the Trending Enteric Viruses and Their Pathogenesis in Intestinal Epithelial Cell Infection
Authors: Chio Chi-Chong , Chien Jou-Chun , Chan Hio-Wai , Huang Hsing-I
Published: December 2024

Enteric virus infection is a major public health issue worldwide. Enteric viruses have become epidemic infectious diseases in several countries. Enteric viruses primarily infect the gastrointestinal tract and complete their life cycle in intestinal epithelial cells. These viruses are transmitted via the fecal–oral route through contaminated food, water, or person to person and cause similar common symptoms, including vomiting, abdominal pain, and diarrhea. Diarrheal disease is the third leading cause of death in children under five years of age, accounting for approximately 1.7 billion cases and 443,832 deaths annually in this age group. Additionally, some enteric viruses can invade other tissues, leading to severe conditions and even death. The pathogenic mechanisms of enteric viruses are also unclear. In this review, we organized the research on trending enteric virus infections, including rotavirus, norovirus, adenovirus, Enterovirus-A71, Coxsackievirus A6, and Echovirus 11. Furthermore, we discuss the gastrointestinal effects and pathogenic mechanisms of SARS-CoV-2 in intestinal epithelial cells, given the gastrointestinal symptoms observed during the COVID-19 pandemic. We conducted a literature review on their pathogenic mechanisms, which serves as a guide for formulating future treatment strategies for enteric virus infections.
Effect of Alkaline Activated Cashew Nut Shell Ash in the Stabilization of Weak Clayey Soil—An Experimental Study
Authors: Devarajan Parthiban , Vijayan Dhanasingh Sivalinga , Saravanabhavan Shanmuga Sundar , Sivasuriyan Arvindan , Sankaran Naveen , Chrysanidis Theodoros , Moujoud Zineb
Published: December 2024

Weak clayey soils in construction are considered problematic due to their high compressibility and low bearing capacity. This study proposes an environmentally friendly replacement for conventional soil stabilizers through the use of geopolymer (GP) containing Cashew Nut Shell Ash (CNSA) to improve soil characteristics. In this study, the CNSAGP was compared with lime-stabilized soil for unconfined compressive strength (UCS), durability, and improved microstructure. The experimental outcomes showed that 9 M + CNSAGP with 4% CNSA provided a UCS of 1900 kPa, which was higher than the lime-stabilized soil (6% lime with 4% CNSA) at 1400 kPa. Durability test results revealed that the CNSAGP-treated sample had better protection against water damage with a strength loss of about 18%, while the lime-treated sample had a strength loss of about 25%. Thermal stability analysis showed that CNSAGP had lower LOI values compared to lime-stabilized samples (0.17% at 900 °C), which indicates CNSAGP’s heat resistance. Microstructure analysis revealed that CNSAGP-stabilized soil was less porous, the microstructure being denser because of reactions of aluminosilicate and pozzolanic activity. Moreover, it affected the soil’s alkalinity, making it better, and improved Atterberg limits, which affected the plasticity and workability. These findings show that CNSAGP is a long-lasting and eco-friendly means of soil stabilization with higher strength, thermal stability, and durability than traditional methods and can be used in engineering.
Recent Progress in Surface Acoustic Wave Sensors Based on Low-Dimensional Materials and Their Applications
Authors: Lin Qinhao , Zhao Chunxia , Li Mingyu , Xu Hao
Published: December 2024

Benefitting from high sensitivity, rapid response, and cost-effectiveness, surface acoustic wave (SAW) sensors have found extensive applications across various fields, including biomedical diagnostics, environmental monitoring, and industrial automation. Recently, low-dimensional materials have shown great potential in enhancing the performance of SAW sensors due to their exceptional physical, optical, and electronic properties. This review explores recent advancements in the fundamental mechanisms, design, fabrication and applications of SAW sensors based on low-dimensional materials. Specifically, the utilization of low-dimensional materials, including zero-, one- and two-dimensional materials, as sensing materials in SAW sensors are summarized. Their applications in SAW-based gas sensing, ultraviolet light sensing, humidity sensing, as well as biosensing are discussed. Furthermore, major challenges and future perspectives regarding employing low-dimensional materials to enhance SAW sensors are highlighted, providing valuable insights for future research and development in this field.
Association of SIGLEC9 Expression with Cytokine Expression, Tumor Grading, KRAS, NRAS, BRAF, PIK3CA, AKT Gene Mutations, and MSI Status in Colorectal Cancer
Authors: Ochman Błażej , Kot Anna , Mielcarska Sylwia , Kula Agnieszka , Dawidowicz Miriam , Koszewska Dominika , Hudy Dorota , Szrot Monika , Piecuch Jerzy , Waniczek Dariusz , Czuba Zenon , Świętochowska Elżbieta
Published: December 2024

SIGLEC9 (sialic acid-binding Ig-like lectin 9) is a molecule thought to have a significant influence on the immune properties of the colorectal cancer (CRC) tumor microenvironment (TME). In our study, we assessed the expression of the SIGLEC9 protein in CRC tissue and the surgical margin tissue. Using RT-PCR, we analyzed mutations in the KRAS, NRAS, BRAF, PIK3CA, and AKT genes. We observed a significantly elevated expression of the SIGLEC9 protein in CRC tissue compared to the control group. No significant differences were observed in SIGLEC9 protein expression depending on mutations in the KRAS, NRAS, BRAF, PIK3CA, and AKT genes or microsatellite instability (MSI) status. However, we found a significantly higher expression of the SIGLEC9 protein in high-grade tumors compared to the low-grade tumors group. SIGLEC9 expression was significantly associated with the expression of multiple cytokines, chemokines, and growth factors in the CRC TME. These associations suggest the significant potential of SIGLEC9 as a molecule that plays a crucial role in shaping the immune properties of the CRC TME, as well as its potential therapeutic relevance, particularly in the group of high-grade CRC tumors.
ARID2 Deficiency Enhances Tumor Progression via ERBB3 Signaling in TFE3-Rearranged Renal Cell Carcinoma
Authors: Tang Jinglong , Funasaki Shintaro , Nishizawa Hidekazu , Kuroda Shoichiro , Motoshima Takanobu , Wu Chang , Mawas Amany Sayed , Satou Yorifumi , Arima Yuichiro , Hasumi Hisashi , Jikuya Ryosuke , Makiyama Kazuhide , Oike Yuichi , Tanaka Yasuhito , Baba Masaya , Kamba Tomomi
Published: December 2024

TFE3-rearranged Renal Cell Carcinoma (TFE3-RCC) is an aggressive subtype of RCC characterized by Xp11.2 rearrangement, leading to TFE3 fusion proteins with oncogenic potential. Despite advances in understanding its molecular biology, effective therapies for advanced cases remain elusive. This study investigates the role of ARID2, a component of the SWI/SNF chromatin remodeling complex, in TFE3-RCC. Through a series of in vitro and in vivo experiments, we confirmed that ARID2 acts as a tumor suppressor in TFE3-RCC. ARID2 knockout (KO) enhanced TFE3-RCC cell migration, proliferation, and tumor growth. Transcriptomic analysis revealed ERBB3 as a key target gene regulated by both PRCC-TFE3 and ARID2. Chromatin immunoprecipitation (ChIP) assays demonstrated that PRCC-TFE3 directly binds to and upregulates ERBB3 expression, with ARID2 KO further enhancing this effect. TFE3-RCC ARID2 KO cells exhibited significant gene expression enrichment in MAPK and ERBB3 signaling pathways. These cells also showed increased activation of ERBB3, EGFR, and selective activation of SRC and MAPK. TFE3-RCC ARID2 KO cells demonstrated heightened sensitivity to the ERBB3 inhibitor AZD8931 compared to their wild-type counterparts, exhibiting significantly reduced migration and proliferation rates. These findings suggest that the PRCC-TFE3-ARID2-ERBB3 axis plays a critical role in TFE3-RCC pathogenesis and highlights the potential of targeting ERBB3 in ARID2-deficient TFE3-RCC as a therapeutic strategy. This study provides new insights into the molecular mechanisms of TFE3-RCC and suggests avenues for precision treatment of this aggressive cancer.
Integrating Gene Expression Data into Single-Step Method (ssBLUP) Improves Genomic Prediction Accuracy for Complex Traits of Duroc × Erhualian F2 Pig Population
Authors: Xu Fangjun , Che Zhaoxuan , Qiao Jiakun , Han Pingping , Miao Na , Dai Xiangyu , Fu Yuhua , Li Xinyun , Zhu Mengjin
Published: December 2024

The development of multi-omics has increased the likelihood of further improving genomic prediction (GP) of complex traits. Gene expression data can directly reflect the genotype effect, and thus, they are widely used for GP. Generally, the gene expression data are integrated into multiple random effect models as independent data layers or used to replace genotype data for genomic prediction. In this study, we integrated pedigree, genotype, and gene expression data into the single-step method and investigated the effects of this integration on prediction accuracy. The integrated single-step method improved the genomic prediction accuracy of more than 90% of the 54 traits in the Duroc × Erhualian F2 pig population dataset. On average, the prediction accuracy of the single-step method integrating gene expression data was 20.6% and 11.8% higher than that of the pedigree-based best linear unbiased prediction (ABLUP) and genome-based best linear unbiased prediction (GBLUP) when the weighting factor (w) was set as 0, and it was 5.3% higher than that of the single-step best linear unbiased prediction (ssBLUP) under different w values. Overall, the analyses confirmed that the integration of gene expression data into a single-step method could effectively improve genomic prediction accuracy. Our findings enrich the application of multi-omics data to genomic prediction and provide a valuable reference for integrating multi-omics data into the genomic prediction model.
Circulating MicroRNAs in Idiopathic Pulmonary Fibrosis: A Narrative Review
Authors: Colin Waldo Marisa Denisse , Quintero-Millán Xochipilzihuitl , Negrete-García Maria Cristina , Ruiz Víctor , Sommer Bettina , Romero-Rodríguez Dámaris P. , Montes-Martínez Eduardo
Published: December 2024

Idiopathic pulmonary fibrosis (IPF) is a chronic, deathly disease with no recognized effective cure as yet. Furthermore, its diagnosis and differentiation from other diffuse interstitial diseases remain a challenge. Circulating miRNAs have been measured in IPF and have proven to be an adequate option as biomarkers for this disease. These miRNAs, released into the circulation outside the cell through exosomes and proteins, play a crucial role in the pathogenic pathways and mechanisms involved in IPF development. This review focuses on the serum/plasma miRNAs reported in IPF that have been validated by real-time PCR and the published evidence regarding the fibrotic process. First, we describe the mechanisms by which miRNAs travel through the circulation (contained in exosomes and bound to proteins), as well as the mechanism by which miRNAs perform their function within the cell. Subsequently, we summarize the evidence concerning miRNAs reported in serum/plasma, where we find contradictory functions in some miRNAs (dual functions in IPF) when comparing the findings in vitro vs. in vivo. The most relevant finding, for instance, the levels of miRNAs let-7d and miR-21 reported in the serum/plasma in IPF, correspond to those found in studies in lung fibroblasts and the murine bleomycin model, reinforcing the usefulness of these miRNAs as future biomarkers in IPF.
Body Composition Changes and Factors Influencing the Total Weight Loss Rate After Laparoscopic Sleeve Gastrectomy
Authors: Nakaguchi Hironobu , Matsuura Bunzo , Miyake Teruki , Senba Hidenori , Furukawa Shinya , Yoshida Motohira , Koga Shigehiro , Watanabe Yuji , Oshikiri Taro , Toshimitsu Kumiko , Hiasa Yoichi
Published: December 2024

Objectives: While the effectiveness of metabolic/bariatric surgery has been confirmed, understanding the factors associated with weight loss is paramount for providing guidance in postoperative treatment strategies. Here, we aimed to examine the factors associated with long-term maintenance of weight loss after laparoscopic sleeve gastrectomy (LSG). Methods: This prospective observational cohort included patients who underwent LSG at a single academic health center between January 2017 and June 2022. We examined their body composition using InBody 720 or 770 and analyzed the factors associated with the percentage of total weight loss (%TWL) for 24 months. Results: The median body mass index (BMI) was 38.8 (interquartile range [IQR]: 35.6–46.7) preoperatively, 32.7 kg/m2 (IQR: 28.2–38.7) at 12 months postoperatively, and 33.9 kg/m2 (IQR: 29.1–40.1) at 24 months postoperatively. The lowest BMI was observed at 12 months (p < 0.001 vs. preoperative), followed by a significant increase at 24 months (p = 0.003). However, BMI remained significantly lower at 24 months than preoperatively (p < 0.001). The skeletal muscle mass to fat mass ratio (SMM/FM) was 0.59 (IQR: 0.50–0.71) preoperatively, 0.79 (IQR: 0.58–1.26) at 12 months, and 0.70 (IQR: 0.54–1.05) at 24 months, peaking at 12 months (p < 0.001 vs. preoperative) and decreasing significantly by 24 months (p < 0.001). Nevertheless, the SMM/FM ratio at 24 months remained higher than preoperative values (p < 0.001). Median body weight and %TWL were 86.0 kg and 15.6%, respectively, at 24 months after LSG. The SMM/FM ratio at 12 months was positively correlated with %TWL at 24 months after adjusting for age and sex. Conclusions: The effects of LSG persisted for up to 24 months postoperatively. The SMM/FM ratio 12 months after LSG was associated with the rate of weight loss at 24 months.
Assessing the Impact of Psyllid Pesticide Resistance on the Spread of Citrus Huanglongbing and Its Ecological Paradox
Authors: Gan Runyun , Luo Youquan , Gao Shujing
Published: December 2024

Excessive use of pesticides can lead to pesticide resistance in citrus psyllids, and studies have shown that this resistance is related to population genetics. This article proposes a dynamic model of Huanglongbing (HLB) that integrates the population genetics of the citrus psyllid vector and considers the fitness cost associated with pesticide resistance to study how pesticide use affects the development of pesticide resistance at the population level. The basic reproduction number is introduced as a metric to assess whether HLB can be effectively controlled. Additionally, this article explores the impact of different parameters on the spread of HLB. Numerical simulations illustrate that the basic reproduction number decreases as the fitness cost of resistance increases, while an increase in the resistance index leads to an increase in the basic reproduction number. However, when the fitness cost is sufficiently high, a larger resistance index may result in a basic reproduction number less than 1, leading to the extinction of Asian citrus psyllid (ACP), thus causing a paradox effect.
Exploring Data Analysis Methods in Generative Models: From Fine-Tuning to RAG Implementation
Authors: Guțu Bogdan Mihai , Popescu Nirvana
Published: December 2024

The exponential growth in data from technological advancements has created opportunities across fields like healthcare, finance, and social media, but sensitive data raise security and privacy challenges. Generative models offer solutions by modeling complex data and generating synthetic data, making them useful for the analysis of large private datasets. This article is a review of data analysis techniques based on generative models, with a focus on large language models (LLMs). It covers the strengths, limitations, and applications of methods like the fine-tuning of LLMs and retrieval-augmented generation (RAG). This study consolidates, analyzes, and interprets the findings from the literature to provide a coherent overview of the current research landscape on this topic, aiming to guide effective, privacy-conscious data analysis and exploring future improvements, especially for low-resource languages.
Mapping the Distribution of the Endemic Madras Hedgehog Paraechinus nudiventris in Tamil Nadu, India
Authors: Kumar Brawin , Rasmussen Sophie Lund , Thanvir Mohammed , Shahidh Mohammed
Published: December 2024

Small mammals play important roles as ecological indicators, dispersers of seeds, food for various species, and contributors to a stable and healthy ecosystem. However, the lack of ecological data to inform their conservation remains a significant challenge in the protection of many rare and threatened species in their natural environments. Among the various small mammals at risk is the Madras hedgehog (Paraechinus nudiventris), endemic to a few districts in South India. To inform conservation initiatives for this species, distribution data and thorough investigations of the threats that the species is facing are of upmost importance. In this study, we focused on finding new distribution records for P. nudiventris through field visits and community interviews. Further, we compiled and analysed rescue data for P. nudiventris from the years 2012 to 2022 and used this information to further map the species’ presence in selected districts. To supplement our findings, we gathered information from previously published sources, newspaper reports, and roadkill data. We conducted a questionnaire survey interviewing village residents between January 2021 and May 2022 to collect primary data on the presence of hedgehogs. Our efforts resulted in the recording of 230 sightings of P. nudiventris in a total of 19 districts in the state of Tamil Nadu, India. These discoveries contribute to a better understanding of the distribution of this species and will be useful in conservation planning and management at local and national levels.
Examining COVID-19 Sources of Information, Vaccine Hesitancy, and Uptake Behaviors Among Diverse Underserved Latinx Communities: A Convergent Parallel Mixed Methods Approach
Authors: Ravelo Gira J. , Wang Weize , Penn Alvonee , Bautista Tara G. , Sanchez Mariana , Bastida Elena , Carrasquillo Olveen
Published: December 2024

At 63.7 million, Latinxs constitute the largest racial/ethnic minority in the United States (US). Early during the COVID-19 pandemic, Latinxs were disproportionately impacted and exhibited lower vaccine uptake. Widespread infodemics contributed to confusion, eroded trust, and fostered vaccine hesitancy among this population. This study used a convergent parallel mixed-methods approach to analyze, integrate, and interpret concurrently collected data gathered as part of the Community Engaged Alliance (CEAL) Against COVID-19 Disparities project, initiated by the National Institutes of Health (NIH) in response to the COVID-19 pandemic in the US. Target populations were three underserved Latinx communities of Miami-Dade County (MDC), Florida, during the pandemic’s peak. Qualitative findings show six themes and subthemes that integrate with quantitative survey data (N = 451). Themes included a “wait-and-see” approach to vaccine uptake; concerns about infodemics; attitudes about science, education, healthcare providers; and personal sources of information. Our findings highlight cultural significance, trusted sources, and reasons for hesitancy before vaccination decisions as corroborated by quantitative results. However, divergence was found regarding media sources. Consistent with the literature, although participants report concerns about infodemics and media bias, they still rely on media for updates, particularly with established television networks and trusted personalities. The value placed on education throughout the study (quantitative and qualitative) highlights the importance of culturally appropriate educational interventions. Moreover, the complex nature of the impact that media has on health-related information and vaccine uptake in this population underscores the need for media literacy interventions alongside health education.