bluuebunny/crossref_metadata_2025 huggingface dataset:
Coffee Ring Effect Enhanced Surface Plasmon Resonance Imaging Biosensor via 2-λ Fitting Detection Method
Authors: Zeng Youjun , Kai Dongyun , Niu Zhenxiao , Nie Zhaogang , Wang Yuye , Shao Yonghong , Ma Lin , Zhang Fangteng , Liu Guanyu , Chen Jiajie
Published: April 2024

SPR biosensors have been extensively used for investigating protein–protein interactions. However, in conventional surface plasmon resonance (SPR) biosensors, detection is limited by the Brownian-motion-governed diffusion process of sample molecules in the sensor chip, which makes it challenging to detect biomolecule interactions at ultra-low concentrations. Here, we propose a highly sensitive SPR imaging biosensor which exploits the coffee ring effect (CRE) for in situ enrichment of molecules on the sensing surface. In addition, we designed a wavelength modulation system utilizing two LEDs to reduce the system cost and enhance the detection speed. Furthermore, a detection limit of 213 fM is achieved, which amounts to an approximately 365 times improvement compared to traditional SPR biosensors. With further development, we believe that this SPR imaging system with high sensitivity, less sample consumption, and faster detection speed can be readily applied to ultra-low-concentration molecular detection and interaction analysis.
L-Lactate Electrochemical Biosensor Based on an Integrated Supramolecular Architecture of Multiwalled Carbon Nanotubes Functionalized with Avidin and a Recombinant Biotinylated Lactate Oxidase
Authors: Tamborelli Alejandro , Mujica Michael López , Amaranto Marilla , Barra José Luis , Rivas Gustavo , Godino Agustina , Dalmasso Pablo
Published: April 2024

L-Lactate is an important bioanalyte in the food industry, biotechnology, and human healthcare. In this work, we report the development of a new L-lactate electrochemical biosensor based on the use of multiwalled carbon nanotubes non-covalently functionalized with avidin (MWCNT-Av) deposited at glassy carbon electrodes (GCEs) as anchoring sites for the bioaffinity-based immobilization of a new recombinant biotinylated lactate oxidase (bLOx) produced in Escherichia coli through in vivo biotinylation. The specific binding of MWCNT-Av to bLOx was characterized by amperometry, surface plasmon resonance (SPR), and electrochemical impedance spectroscopy (EIS). The amperometric detection of L-lactate was performed at −0.100 V, with a linear range between 100 and 700 µM, a detection limit of 33 µM, and a quantification limit of 100 µM. The proposed biosensor (GCE/MWCNT-Av/bLOx) showed a reproducibility of 6.0% and it was successfully used for determining L-lactate in food and enriched serum samples.
Impacts of Static Lighting in Confined Spaces on the Circadian Parameters, Alertness, Performance and Well-Being
Authors: Wang Tongyue , Shao Rongdi , Wang Yanni , Li Juanjie , Hao Luoxi
Published: April 2024

The static lighting condition (SLC) in confined spaces may pose great challenges to the health of long-stay workers, inducing sleep disorders, cognitive decline, and negative emotions such as depression or anxiety. To explore human responses to the SLC (300 lx and 6000 K), 20 young subjects (22.6 ± 1.88 years old) were recruited in the underground confined lab for a week by measuring melatonin, core body temperature (CBT), subjective alertness (KSS score), sleep quality (Pittsburgh Sleep Quality Index, PSQI), Psychomotor Vigilance Task (PVT), Hamilton Depression Scale (HAMD) and Self-rating Anxiety Scale (SAS). The results showed a posterior shift in circadian rhythm after 1 week of confinement, with 0.62 h delay of dim light melatonin onset (DLMO), higher melatonin concentrations in the evening, lower melatonin concentrations at midnight, a day-by-day increase in KSS and CBT at bedtime, but this decreased daily when waking up, with cumulative effects. There was a progressive increase in sleep latency, PSQI scores, response time and scores of subjective emotion scales, meaning worse sleep, performance and emotional state. Due to limited exposure to high-lighting stimuli during the daytime, the initial concentrations of melatonin increased in the evening and decreased before sleep. In confined spaces, active health interventions by dynamic lighting patterns were proposed to safeguard human health and performance.
Adhesion Stability According to Adhesion Area of Traditional Tile Gluing Method
Authors: Kim Jae-Gyu , Kim Bum-Soo , Jiang Bo , Kim Byoungil
Published: April 2024

In this study, verification was conducted through experiments to identify problems caused by traditional attachment methods in order to highlight the need for a suitable attachment method for new tile types according to changes in materials, production technology, and demand. The stability of adhesion strength was evaluated by subdividing the size of the adhesion area and adhesion strength measurement method for the country-type attachment method. The adhesion area on the back of the tile was divided into 60% and 80%, and the test specimens used in the experiment were tested for partial adhesion strength (Ta-1), overall adhesion strength (Ta-2), and adhesion strength after splitting (Ta-3), and the results were derived. As a result of conducting the adhesion test presented in the current national building standard tile specification (KCS 41 48 01) for 80% of the backfill area, the average adhesive strength was 0.85 N/mm2, and the standard strength was 0.39 N/mm2. However, as a result of the arithmetic average test of the adhesive strength of all tiles or cutting of the entire tile, rather than the partial adhesion test method of the mortar-attached part, it was confirmed that the adhesive strength was about −20% less than the current KCS 0.39 N/mm2.
Bond–Slip Performance of Steel–Fiber-Reinforced Polymer Composite Bars (SFCBs) and Glass Fiber with Expansion-Agent-Reinforced Seawater Sea-Sand Concrete (GF-EA-SSSC) under Freezing–Thawing Environment
Authors: Li Yufu , Jian Jiayu , Song Yuying , Wei Wei , Zhang Yilin , Li Gangliang , Zhu Huanyu , Lin Jiawei , Xiong Zhe
Published: April 2024

The combined application of steel–FRP composite bars (SFCBs) and seawater sea-sand concrete (SSSC) in marine engineering not only solves the problem of resource scarcity and reduces the construction cost but also avoids the problems of chloride corrosion of steel reinforcement in seawater sea-sand concrete and the lack of ductility of FRP bars. At the same time, the addition of glass fiber (GF) and expansion agent (EA) in appropriate amounts improves the crack resistance and seepage resistance of concrete. However, the durability of SFCB with GF- and EA-reinforced SSSC in freezing–thawing environment remains unclear, which limits its potential application in cryogenic marine engineering. This study investigates the bonding properties between SFCB and GF-EA-SSSC interfaces using eccentric pullout experiments under different thicknesses of concrete protective cover and a number of freezing–thawing cycles. The results showed that the compressive strength and dynamic elastic modulus of SSSC decrease, while the mass loss increases with an increasing number of freezing–thawing cycles. Additionally, the bond strength and stiffness between SFCB and SSSC decrease, leading to an increase in relative slip. However, the rate of bond strength and stiffness loss decreases with an increase in the thickness of the concrete protective cover. Furthermore, formulas for bond strength, relative slip, and bond stiffness are established to quantify the effects of the thickness of the concrete protective cover and the number of freezing–thawing cycles. The experimental values obtained verify the accuracy of these formulas, with a relative error of less than 5%. Moreover, a bond stress–slip constitutive model is developed for SFCB and GF-EA-SSSC, and the fitting results closely resemble the experimental values, demonstrating a high level of model fit.
Semantic Enrichment of BIM: The Role of Machine Learning-Based Image Recognition
Authors: Mirarchi Claudio , Gholamzadehmir Maryam , Daniotti Bruno , Pavan Alberto
Published: April 2024

Building Information Modelling (BIM) revolutionizes the construction industry by digitally simulating real-world entities through a defined and shared semantic structure. However, graphical information included in BIM models often contains more detailed data compared to the corresponding semantic or computable data. This inconsistency creates an asymmetry, where valuable details present in the graphical renderings are absent from the semantic description of the model. Such an issue limits the accuracy and comprehensiveness of BIM models, constraining their full utilization for efficient decision-making and collaboration in the construction process. To tackle this challenge, this paper presents a novel approach that utilizes Machine Learning (ML) to mediate the disparity between graphical and semantic information. The proposed methodology operates by automatically extracting relevant details from graphical information and transforming them into semantically meaningful and computable data. A comprehensive empirical evaluation shows that the presented approach effectively bridges the gap between graphical and computable information with an accuracy of over 80% on average, unlocking the potential for a more accurate representation of information within BIM models and enhancing decision-making and collaboration/utility in construction processes.
Advances in Connection Techniques for Raw Bamboo Structures—A Review
Authors: Aniñon Mary Joanne C. , Garciano Lessandro Estelito O.
Published: April 2024

While bamboo’s sustainability and impressive mechanical properties make it suitable for structural use, its application is hindered by challenges in connection systems. Bamboo’s hollow, thin-walled nature, dimensional variations, and anisotropic properties complicate connection design. Despite numerous studies and proposed connection types, a consensus on preferred bamboo connections remains elusive. Ideal connections for raw bamboo structures should be robust, economical, practical, simple, and easy to assemble. This paper reviews 62 scientific papers from the Scopus database published between 2003 and 2024, along with additional relevant references. It identifies research gaps, recommending further studies on bamboo connections considering factors like species, harvest age, treatment type, and node location. The analysis of failure modes and long-term behavior is essential to anticipate and mitigate risks associated with bamboo connections, ensuring durability, and minimizing maintenance needs. Lastly, developing universally accepted standards and codes for bamboo and bamboo connections is crucial for enabling their widespread adoption in the construction industry.
Imperfection Sensitivity Detection in Pultruded Columns Using Machine Learning and Synthetic Data
Authors: Tzimas Michail , Barbero Ever J.
Published: April 2024

Experimental and theoretical solutions have shown that imperfections in wide-flanged structural columns may reduce the failure load of the column by as much as 30% with respect to that of a perfect column. Therefore, the early detection and prevention of such imperfections, which would likely reduce the load capacity of a structure, are critical for avoiding catastrophic failure. In the present article, we show how machine learning may be used to detect imperfection sensitivity in pultruded columns using observable column deformations occurring at loads as low as 30% of the design load. Abaqus simulations were used to capture the behavior of such columns of various lengths under service load. The deformations found from the simulations were used to train the machine learning algorithm. Similar deformations could be easily collected from in-service columns using inexpensive instrumentation. With over 3000 test cases, 95% accuracy in the correct detection of imperfection sensitivity was found. We anticipate that the proposed machine learning pipeline will enhance structural health monitoring, providing timely warning for potentially compromised structures.
Quantitative Evaluation of GHG Emissions from Hardwood Furniture in Japan and the Effect of Using Domestic Hardwoods
Authors: Onoda Iori , Fuchigami Yuki , Nakai Takahisa
Published: April 2024

In this study, in order to clarify the impact of the use of domestic timber for wooden chairs on greenhouse gas (hereinafter referred to as GHG) emissions from the product life cycle, chairs made of foreign hardwoods (referred to as Product A and Product B) manufactured by two wooden furniture manufacturers (referred to as Companies A and B) in the Hida-Takayama region of Gifu Prefecture, respectively, were evaluated with regard to GHG emissions and carbon storage, as calculated from raw material procurement to product manufacturing. In addition, GHG emissions were calculated for the case where the origin of the hardwood was converted from overseas to Japanese local and regional production. As a result, GHG emissions when foreign hardwoods were used were 23.12 kg-CO2e and 22.23 kg-CO2e per leg for Product A and Product B, respectively, and carbon storage was 11.20 kg-CO2 and 16.90 kg-CO2. In addition, the conversion of hardwoods to local and regional origin was found to reduce GHG emissions by about 25% and 27% for Product A and about 20% and 21% for Product B, respectively.
Dichloroacetate and Quercetin Prevent Cell Proliferation, Induce Cell Death and Slow Tumor Growth in a Mouse Model of HPV-Positive Head and Neck Cancer
Authors: Zhuang Yongxian , Coppock Joseph D. , Haugrud Allison B. , Lee John H. , Messerli Shanta M. , Miskimins W. Keith
Published: April 2024

Elevated glucose uptake and production of lactate are common features of cancer cells. Among many tumor-promoting effects, lactate inhibits immune responses and is positively correlated with radioresistance. Dichloroacetate (DCA) is an inhibitor of pyruvate dehydrogenase kinase that decreases lactate production. Quercetin is a flavonoid compound found in fruits and vegetables that inhibits glucose uptake and lactate export. We investigated the potential role and mechanisms of DCA, quercetin, and their combination, in the treatment of HPV-positive head and neck squamous cell carcinoma, an antigenic cancer subtype in need of efficacious adjuvant therapies. C57Bl/6-derived mouse oropharyngeal epithelial cells, a previously developed mouse model that was retrovirally transduced with HPV type-16 E6/E7 and activated Ras, were used to assess these compounds. Both DCA and quercetin inhibited colony formation and reduced cell viability, which were associated with mTOR inhibition and increased apoptosis through enhanced ROS production. DCA and quercetin reduced tumor growth and enhanced survival in immune-competent mice, correlating with decreased proliferation as well as decreased acidification of the tumor microenvironment and reduction of Foxp (+) Treg lymphocytes. Collectively, these data support the possible clinical application of DCA and quercetin as adjuvant therapies for head and neck cancer patients.
A Review of Ozone Decomposition by a Copper-Based Catalyst
Authors: Ma Guojun , Guan Jian , Zhu Qiuyi , Jiang Yishan , Han Ning , Chen Yunfa
Published: April 2024

The threat of ozone in indoor spaces and other enclosed environments is receiving increasing attention. Among numerous ozone catalytic decomposition technologies, copper catalytic material has a superior performance and relatively low cost, making it one of the ideal catalyst materials. This review presents the recent Cu catalyst studies on ozone decomposition, particularly morphological design, the construction of heterostructures, and monolithic catalyst design used to improve their performance. Moreover, this review proposes further improvement directions based on Cu materials’ inherent limitations and practical needs. On this basis, in the foreseeable future, Cu materials will play a greater role.
CO2 Reduction Performance with Double-Layered Cu/TiO2 and P4O10/TiO2 as Photocatalysts under Different Light Illumination Conditions
Authors: Nishimura Akira , Senoue Hiroki , Mae Homare , Hanyu Ryo , Hu Eric
Published: April 2024

This paper presents an experimental study of using a double-layered Cu/TiO2 and P4O10/TiO2 as photocatalysts for CO2 reduction with an extended wavelength of range light from ultraviolet light (UV) to infrared light (IR). The lights studied were UV + visible light (VIS) + IR, VIS + IR and IR only. This study also investigated the impact of the molar ratio of CO2:H2O on the CO2 reduction performance. This study revealed that the optimum molar ratio of CO2:H2O to produce CO was 1:1, irrespective of light illumination condition, which matched the theoretical molar ratio to produce CO according to the reaction scheme of CO2 reduction with H2O. Comparing the results of double-layered Cu/TiO2 and P4O10/TiO2 with those of double-layered TiO2 obtained under the UV + VIS + IR light illumination condition, the highest concentration of formed CO and the molar quantity of formed CO per unit weight of the photocatalyst increased by 281 ppmV and 0.8 μmol/g, in the case of the molar ratio of CO2:H2O = 1:1. With IR-only illumination, the highest concentration of formed CO and the molar quantity of CO formed per unit weight of the photocatalyst was 251 ppmV and 4.7 μmol/g, respectively.
Three-Dimensional Cultivation a Valuable Tool for Modelling Canine Mammary Gland Tumour Behaviour In Vitro
Authors: Huniadi Mykhailo , Nosálová Natália , Almášiová Viera , Horňáková Ľubica , Valenčáková Alexandra , Hudáková Nikola , Cizkova Dasa
Published: April 2024

Cell cultivation has been one of the most popular methods in research for decades. Currently, scientists routinely use two-dimensional (2D) and three-dimensional (3D) cell cultures of commercially available cell lines and primary cultures to study cellular behaviour, responses to stimuli, and interactions with their environment in a controlled laboratory setting. In recent years, 3D cultivation has gained more attention in modern biomedical research, mainly due to its numerous advantages compared to 2D cultures. One of the main goals where 3D culture models are used is the investigation of tumour diseases, in both animals and humans. The ability to simulate the tumour microenvironment and design 3D masses allows us to monitor all the processes that take place in tumour tissue created not only from cell lines but directly from the patient’s tumour cells. One of the tumour types for which 3D culture methods are often used in research is the canine mammary gland tumour (CMT). The clinically similar profile of the CMT and breast tumours in humans makes the CMT a suitable model for studying the issue not only in animals but also in women.
Efficacy of Kinesiotape to Improve Upper-Extremity Function in Children and Adolescents with Cerebral Palsy: A Systematic Review
Authors: Calvo-Fuente Victoria , Soto-Vidal Concepción , Ramón-Corcoba Ana , Cerezo-Téllez Ester , Pérez-Martín Yolanda , Pacheco-da-Costa Soraya
Published: April 2024

Background: Cerebral palsy (CP) is one of the primary causes of physical disabilities in children that affects posture and movement. Upper-extremity (UE) function is frequently impaired, which may result in activity and participation limitations in people with CP. The use of kinesiotape (KT) has increased in the treatment of CP for various purposes. The aim of this systematic review was to assess the efficacy of KT for improving UE function in children and adolescents with CP. Methods: The literature search was carried out in PubMed, Cochrane, PEDro, Web of Science and SCOPUS databases. The methodological quality was analyzed with the PEDro scale. Review Manager (RevMan 5.4.1) was used for data extraction and risk of bias assessment. Results: A total of five randomized clinical trials were included. The use of KT showed improvement in UE functionality in three studies, with significant outcomes for range of motion (ROM) (three studies), fine motor skills (two studies), grip strength (one study) and manual dexterity (one study). Moreover, it also showed significant improvements in spasticity and gross motor function (one study). Overall, methodological quality was moderate, and the risk of bias was high in the domains related to blinding. Conclusion: The use of KT showed improvement in UE function in children and adolescents with CP. However, further research is needed to reinforce the conclusions on the efficacy of KT as a therapeutic tool.
Slew-Rate Enhancement Techniques for Switched-Capacitors Fast-Settling Amplifiers: A Review
Authors: Dei Michele , Gagliardi Francesco , Bruschi Paolo
Published: April 2024

This review is aimed at the integrated circuit design community and it explores slew-rate enhancement techniques for switched-capacitor amplifiers, with a primary focus on optimizing settling time within power constraints. Key challenges are addressed, including the selection between single-stage and two-stage amplifiers, along with the utilization of advanced circuit-level techniques for slew-rate enhancement. Presently, there exists a gap in comprehensive discussion, with reliance primarily on two Figures of Merit aimed at assessing power efficiency under specific capacitive loads. However, these metrics fail to adequately assess the performance of the existing slew-rate enhancer solutions at different values of capacitive loads. As a consequence, the designer lacks clear guidelines in practical situations. This review provides a state-of-the art mapping under a figure of merit dedicated to assess the whole settling delay, and also introduces a novel performance metric which highlights the role of the circuital architectures, regardless of external operating conditions. By offering a thorough examination, this review seeks to steer future research in switched-capacitor amplifier design, thereby facilitating informed decision-making and fostering innovation in the field.
Surface Engineering of Escherichia coli to Display Its Phytase (AppA) and Functional Analysis of Enzyme Activities
Authors: Muñoz-Muñoz Patricia L. A. , Terán-Ramírez Celina , Mares-Alejandre Rosa E. , Márquez-González Ariana B. , Madero-Ayala Pablo A. , Meléndez-López Samuel G. , Ramos-Ibarra Marco A.
Published: April 2024

Escherichia coli phytase (AppA) is widely used as an exogenous enzyme in monogastric animal feed mainly because of its ability to degrade phytic acid or its salt (phytate), a natural source of phosphorus. Currently, successful recombinant production of soluble AppA has been achieved by gene overexpression using both bacterial and yeast systems. However, some methods for the biomembrane immobilization of phytases (including AppA), such as surface display on yeast cells and bacterial spores, have been investigated to avoid expensive enzyme purification processes. This study explored a homologous protein production approach for displaying AppA on the cell surface of E. coli by engineering its outer membrane (OM) for extracellular expression. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis analysis of total bacterial lysates and immunofluorescence microscopy of non-permeabilized cells revealed protein expression, whereas activity assays using whole cells or OM fractions indicated functional enzyme display, as evidenced by consistent hydrolytic rates on typical substrates (i.e., p-nitrophenyl phosphate and phytic acid). Furthermore, the in vitro results obtained using a simple method to simulate the gastrointestinal tract of poultry suggest that the whole-cell biocatalyst has potential as a feed additive. Overall, our findings support the notion that biomembrane-immobilized enzymes are reliable for the hydrolysis of poorly digestible substrates relevant to animal nutrition.
Preparation and Corrosion Resistance of Superhydrophobic Coatings on 7005 Aluminum Alloy
Authors: Huang Huilan , Guo Feng , Li Xintao , Xia Peng , Yang Li , Hu Chuanbo
Published: April 2024

Composite coatings on the surface of a semi-continuous cast 7005 aluminum alloy under different aging treatments (T6, RRA, and FSA) are presented and characterized in this research. SiO2 combined with stearic acid (STA) modified by KH550 was utilized to achieve multifunctional superhydrophobic coatings. Adhesive tape adhesion, blade scratch, and mechanical wear tests were utilized to assess the durability of the superhydrophobic coatings. The results showed that the prepared coatings exhibited excellent superhydrophobicity, self-cleaning ability, and mechanical properties, especially the T6 temper alloy. This alloy had the largest CA value (156.5°) and the lowest SA value (4.3°). The composite coatings still exhibited excellent superhydrophobicity under mechanical damage. Furthermore, the alloys with STA/SiO2 displayed marvelous corrosion resistance efficiency. The T6 temper alloy with a protection rate of 73.8% had an approximately one-order-of-magnitude decrement in carrion current density. The composite coating can be effectively utilized in various industrial fields, thus extending its potential impact.
Blending Hyaluronic Acid and Calcium Hydroxylapatite for Injectable Facial Dermal Fillers: A Clinical and Ultrasonography Assessment
Authors: Bravo Bruna , Carvalho Raquel , Bravo Leonardo , Penedo Laís , Elias Mariana
Published: April 2024

Both hyaluronic acid (HA) and calcium hydroxylapatite (CaHA) fillers have well-established indications in cosmetic medicine. Nevertheless, limited data are available on the effectiveness of combining CaHA and HA. The purpose of this report was to demonstrate the safety, tolerability, and clinical and ultrasonographic improvement of facial skin laxity using a blending technique that admixes HA and CaHA. Fifteen regular patients, including three men, between 25 and 71 years of age were reported. The participants were subjects who came regularly to the dermatologic office seeking a lifting effect without surgery. They were submitted to injection of an admixture of HA and CaHA and followed for 180 days. The clinical assessment consisted of photographic evaluation by two blind investigators, and a consensual subjective evaluation was performed by the physicians (PGAIS) using the five-point Global Aesthetic Improvement Scale. Dermal thickness was analyzed in jaw areas using high-frequency ultrasound. Subjects completed a satisfaction questionnaire with responses scored according to the five-point Global Aesthetic Improvement Scale (GAIS) to evaluate patient satisfaction. After 180 days of follow-up, clinical assessments by blinded physicians found that all patients improved. All the participants were highly satisfied with the results and reported exceptional improvement. Dermal thickness increased by 9.4% (8.2–10.8%), 14.0% (12.2–15.9%), and 18.8% (16.2–21.9%) at D90, D120, and D180, respectively, by ultrasonography. In conclusion, an injection technique using an admixture of CaHA and HA fillers was well tolerated, offering high satisfaction and long-lasting progressive benefits. The authors believe that this procedure optimizes the treatment time and results because HA promotes early volume restoration and CaHA stimulates long-term dermal remodeling through the synthesis of collagen and elastin.
Potential Benefits of a Cosmetic Ingredient Combining Thermal Spring Water and Diatom Algae Extract
Authors: Mourelle Maria Lourdes , Segura de Yebra Jordi , Ayats Jordi , Vitale Maria , López Sánchez Ana
Published: April 2024

The development of cosmetic ingredients improving the management of skin with irritation proclivity is an actual need. However, medical recommendations in specific cases, such as sensitive skin, include the use of as few and low-reactive ingredients as possible. In this context, we here describe the development of a new ingredient consisting of a mixture of thermal water and a diatom algae extract. First, we characterized a thermal spring water (La Solia, LS-TSW). Attending to its chemical composition, LS-TSW displayed an exclusive combination of different inorganic elements, with interesting potential properties when compared with other commercial spring waters. Then, LS-TSW hydrobiome was studied, and after finding specimens of Phaeodactylum-like sp., we proposed potentiating LS-TSW benefits with its combination with an oil extract of Phaeodactylum tricornutum (PtOE). Finally, we assessed the potential of the mixture during pro-inflammatory stimulation, in the first instance using an immune cell model, and then in an in vitro system mimicking keratinocytes under skin irritation. In the last-mentioned model, the ingredient of interest effectively attenuated the induced levels of different pro-inflammatory mediators (IL-6, IL-1, TNFα, NF-κB, and CCL1), at the level of gene expression. Thus, our results highlight the potential benefits of this combination in the context of skin irritation, opening roads for its use in new skincare regimens, and addressing an important dermatological concern.
Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3b
Authors: Chen Ming-Shu , Liu Tzu-Chi , Jhou Mao-Jhen , Yang Chih-Te , Lu Chi-Jie
Published: April 2024

Longitudinal data, while often limited, contain valuable insights into features impacting clinical outcomes. To predict the progression of chronic kidney disease (CKD) in patients with metabolic syndrome, particularly those transitioning from stage 3a to 3b, where data are scarce, utilizing feature ensemble techniques can be advantageous. It can effectively identify crucial risk factors, influencing CKD progression, thereby enhancing model performance. Machine learning (ML) methods have gained popularity due to their ability to perform feature selection and handle complex feature interactions more effectively than traditional approaches. However, different ML methods yield varying feature importance information. This study proposes a multiphase hybrid risk factor evaluation scheme to consider the diverse feature information generated by ML methods. The scheme incorporates variable ensemble rules (VERs) to combine feature importance information, thereby aiding in the identification of important features influencing CKD progression and supporting clinical decision making. In the proposed scheme, we employ six ML models—Lasso, RF, MARS, LightGBM, XGBoost, and CatBoost—each renowned for its distinct feature selection mechanisms and widespread usage in clinical studies. By implementing our proposed scheme, thirteen features affecting CKD progression are identified, and a promising AUC score of 0.883 can be achieved when constructing a model with them.
Prenatal Diagnosis and Prognosis of Abdominal Arteriovenous Fistulae: A Comprehensive Case Series and Systematic Review
Authors: Ungureanu Anda , Nagy Rodica Daniela , Constantin Cristian , Gheonea Ioana Andreea , Iliescu Dominic Gabriel
Published: April 2024

This study had two main objectives. Firstly, we conducted a thorough literature review on the prenatal diagnosis of abdominal congenital arteriovenous fistulas (CAVFs) involving the abdominal aorta and hepatic arteries. Secondly, we aimed to provide detailed descriptions of eight additional cases diagnosed at our medical center and assess the outcome of this anomaly for informed counseling. We conducted a systematic search of online databases using specific keywords like “outcome”, “ultrasound”, “intrahepatic fistulae”, and “fetal venous anomalies”, focusing on studies published between 1998 and 2023. We selected 10 relevant articles and analyzed 13 cases. Additionally, we conducted a five-year prospective study in two referral centers, identifying eight CAVF cases with an incidence rate of 0.16%. Among the 21 cases evaluated, 11 resulted in live births, all of which received treatment. However, four cases (36.3%) had poor postnatal outcomes and neonatal demise due to heart failure. Prenatal signs of poor fetal hemodynamics, including cardiomegaly or hydrops, were observed in 52.3% of cases, regardless of outcome. Our findings highlight the rarity of this vascular malformation and emphasize the importance of effective treatment to avoid unfavorable outcomes. The long-term effectiveness of prenatal treatment or postnatal embolization remains uncertain, with liver transplantation being considered the most reliable treatment option.
Microbial Profiles in Oral Lichen Planus: Comparisons with Healthy Controls and Erosive vs. Non-Erosive Subtypes
Authors: Ju Hye-Min , Ahn Yong-Woo , Ok Soo-Min , Jeong Sung-Hee , Na Hee-Sam , Chung Jin
Published: April 2024

Recent studies have begun exploring the potential involvement of microbiota in the pathogenesis of oral lichen planus (OLP), yet comprehensive investigations remain limited. Hence, this study aimed to compare the microbial profiles in saliva samples obtained from patients with OLP against those from healthy controls (HC), along with a comparison between erosive (E) and non-erosive (NE) OLP patients. Saliva samples were collected from 60 OLP patients (E: n = 25, NE: n = 35) and 30 HC individuals. Analysis revealed no significant differences in alpha diversity, as assessed by the Chao1 and Shannon index, across the three groups. However, Bray–Curtis distance analysis indicated a significant disparity in microbiome composition distribution between HC and E-OLP, as well as HC and NE-OLP groups. The six most abundant phyla observed across the groups were Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, Fusobacteria, and Saccharibacteria (TM7). Notably, OLP groups exhibited a higher prevalence of Bacteroidetes. Prevotella emerged as the predominant genus in the OLP groups, while Capnocytophaga showed a relatively higher prevalence in E-OLP compared to NE-OLP. This study’s findings indicate a notable difference in microbiota composition between HC and patients with OLP. Additionally, differences in the microbiome were identified between the E-OLP and NE-OLP groups. The increase in the proportion of certain bacterial species in the oral microbiome suggests that they may exacerbate the inflammatory response and act as antigens for OLP.
A Machine Learning System to Indicate Diagnosis of Idiopathic Pulmonary Fibrosis Non-Invasively in Challenging Cases
Authors: Ahmad Yousef , Mooney Joshua , Allen Isabel E. , Seaman Julia , Kalra Angad , Muelly Michael , Reicher Joshua
Published: April 2024

Radiologic usual interstitial pneumonia (UIP) patterns and concordant clinical characteristics define a diagnosis of idiopathic pulmonary fibrosis (IPF). However, limited expert access and high inter-clinician variability challenge early and pre-invasive diagnostic sensitivity and differentiation of IPF from other interstitial lung diseases (ILDs). We investigated a machine learning-driven software system, Fibresolve, to indicate IPF diagnosis in a heterogeneous group of 300 patients with interstitial lung disease work-up in a retrospective analysis of previously and prospectively collected registry data from two US clinical sites. Fibresolve analyzed cases at the initial pre-invasive assessment. An Expert Clinical Panel (ECP) and three panels of clinicians with varying experience analyzed the cases for comparison. Ground Truth was defined by separate multi-disciplinary discussion (MDD) with the benefit of surgical pathology results and follow-up. Fibresolve met both pre-specified co-primary endpoints of sensitivity superior to ECP and significantly greater specificity (p = 0.0007) than the non-inferior boundary of 80.0%. In the key subgroup of cases with thin-slice CT and atypical UIP patterns (n = 124), Fibresolve’s diagnostic yield was 53.1% [CI: 41.3–64.9] (versus 0% pre-invasive clinician diagnostic yield in this group), and its specificity was 85.9% [CI: 76.7–92.6%]. Overall, Fibresolve was found to increase the sensitivity and diagnostic yield for IPF among cases of patients undergoing ILD work-up. These results demonstrate that in combination with standard clinical assessment, Fibresolve may serve as an adjunct in the diagnosis of IPF in a pre-invasive setting.
Point-of-Care Diagnostic System for Viable Salmonella Species via Improved Propidium Monoazide and Recombinase Polymerase Amplification Based Nucleic Acid Lateral Flow
Authors: Lee So-Young , Oh Se-Wook
Published: April 2024

Salmonella species are prominent foodborne microbial pathogens transmitted through contaminated food or water and pose a significant threat to human health. Accurate and rapid point-of-care (POC) diagnosis is gaining attention in effectively preventing outbreaks of foodborne disease. However, the presence of dead bacteria can interfere with an accurate diagnosis, necessitating the development of methods for the rapid, simple, and efficient detection of viable bacteria only. Herein, we used an improved propidium monoazide (PMAxx) to develop a nucleic acid lateral flow (NALF) assay based on recombinase polymerase amplification (RPA) to differentiate viable Salmonella Typhimurium. We selected an RPA primer set targeting the invA gene and designed a probe for NALF. RPA-based NALF was optimized for temperature (30–43 °C), time (1–25 min), and endonuclease IV concentration (0.025–0.15 unit/µL). PMAxx successfully eliminated false-positive results from dead S. Typhimurium, enabling the accurate detection of viable S. Typhimurium with a detection limit of 1.11 × 102 CFU/mL in pure culture. The developed method was evaluated with spiked raw chicken breast and milk with analysis completed within 25 min at 39 °C. This study has potential as a tool for the POC diagnostics of viable foodborne pathogens with high specificity, sensitivity, rapidity, and cost-effectiveness.
Advancing Pediatric Sarcomas through Radiomics: A Systematic Review and Prospective Assessment Using Radiomics Quality Score (RQS) and Methodological Radiomics Score (METRICS)
Authors: Aghakhanyan Gayane , Filidei Tommaso , Febi Maria , Fanni Salvatore C. , Marciano Andrea , Francischello Roberto , Caputo Francesca Pia , Tumminello Lorenzo , Cioni Dania , Neri Emanuele , Volterrani Duccio
Published: April 2024

Pediatric sarcomas, rare malignancies of mesenchymal origin, pose diagnostic and therapeutic challenges. In this review, we explore the role of radiomics in reshaping our understanding of pediatric sarcomas, emphasizing methodological considerations and applications such as diagnostics and predictive modeling. A systematic review conducted up to November 2023 identified 72 papers on radiomics analysis in pediatric sarcoma from PubMed/MEDLINE, Web of Knowledge, and Scopus. Following inclusion and exclusion criteria, 10 reports were included in this review. The studies, predominantly retrospective, focus on Ewing sarcoma and osteosarcoma, utilizing diverse imaging modalities, including CT, MRI, PET/CT, and PET/MRI. Manual segmentation is common, with a median of 35 features extracted. Radiomics Quality Score (RQS) and Methodological Radiomics Score (METRICS) assessments reveal a consistent emphasis on non-radiomic features, validation criteria, and improved methodological rigor in recent publications. Diagnostic applications dominate, with innovative studies exploring prognostic and treatment response aspects. Challenges include feature heterogeneity and sample size variations. The evolving landscape underscores the need for standardized methodologies. Despite challenges, the diagnostic and predictive potential of radiomics in pediatric oncology is evident, paving the way for precision medicine advancements.
Non-Invasive Assessment of Micro- and Macrovascular Function after Initiation of JAK Inhibitors in Patients with Rheumatoid Arthritis
Authors: Anyfanti Panagiota , Angeloudi Elena , Dara Athanasia , Pagkopoulou Eleni , Moysidou Georgia-Savina , Deuteraiou Kleopatra , Boutel Maria , Bekiari Eleni , Doumas Michael , Kitas George D. , Dimitroulas Theodoros
Published: April 2024

Background: Janus kinase (JAK) inhibitors constitute a novel class of oral biologic disease-modifying antirheumatic drugs for patients with rheumatoid arthritis (RA). However, their use has been associated with increased risk of major cardiovascular events. We investigated whether treatment with JAK inhibitors exerts significant alterations in the micro- and microvasculature in RA patients. Methods: Thirteen patients with RA initiating treatment with JAK inhibitors were prospectively studied. Eventually, data from 11 patients who completed the study were analyzed. Procedures were performed at baseline and 3 months after treatment. Nailfold videocapillaroscopy was applied to detect alterations of the dermal capillary network. Participants underwent 24 h ambulatory blood pressure monitoring (Mobil-O-Graph device) for the assessment of blood pressure (both brachial and aortic) and markers of large artery stiffening [pulse wave velocity (PWV), augmentation index] throughout the whole 24 h and the respective day- and nighttime periods. Carotid intima–media thickness was assessed with ultrasound. Results: Three-month treatment with JAK inhibitors was not associated with any differences in brachial and aortic blood pressure, arterial stiffness, and carotid atherosclerosis, with the only exception of nighttime PWV, which was significantly elevated at follow-up. However, three-month treatment with JAK inhibitors induced significant microvascular alterations and increased the total number of capillaroscopic abnormalities. Conclusions: Three-month treatment with JAK inhibitors may exert significant effects on microcirculation as assessed with nailfold videocapillaroscopy, whereas macrovascular structure and function appears largely unaffected. Further research toward this direction may add substantial information to the available literature regarding cardiovascular aspects of JAK inhibitors in RA.
Can Plasma Volume Determination in Cirrhosis Be Replaced by an Algorithm Using Body Weight and Hematocrit?
Authors: Nørskov Martine Prütz , Mønsted Thormod , Kimer Nina , Damgaard Morten , Møller Søren
Published: April 2024

Background: Patients with cirrhosis often develop hyperdynamic circulation with increased cardiac output, heart rate, and redistribution of the circulating volume with expanded plasma volume (PV). PV determination is part of the evaluation of patients with cirrhosis, but gold-standard methods are invasive, expensive, and time-consuming. Therefore, other estimations of PV would be preferable, and the aim of this study was therefore to study if PV, as assessed by a simplified algorithm based on hematocrit and weight, can replace the gold-standard method. Methods: We included 328 patients with cirrhosis who had their PV assessed by the indicator dilution technique as the gold-standard method (PVI-125). Actual PV was estimated as PVa = (1 − hematocrit)·(a + (b·body weight)). Ideal PV was estimated as PVi = c · body weight, where a, b, and c are constants. Results: PVI-125, PVa, and PVi were 3.99 ± 1.01, 3.09 ± 0.54, and 3.01 ± 0.65 (Mean ± SD), respectively. Although PVI-125 correlated significantly with PVa (r = 0.72, p < 0.001), a Bland–Altman plot revealed wide limits of confidence. Conclusions: The use of simplified algorithms does not sufficiently estimate PV and cannot replace the indicator dilution technique.
Generative Artificial Intelligence Image Tools among Future Designers: A Usability, User Experience, and Emotional Analysis
Authors: Casteleiro-Pitrez Joana
Published: April 2024

Generative Artificial Intelligence (GenAI) image tools hold the promise of revolutionizing a designer’s creative process. The increasing supply of this type of tool leads us to consider whether they suit future design professionals. This study aims to unveil if three GenAI image tools—Midjourney 5.2, DreamStudio beta, and Adobe Firefly 2—meet future designers’ expectations. Do these tools have good Usability, show sufficient User Experience (UX), induce positive emotions, and provide satisfactory results? A literature review was performed, and a quantitative empirical study based on a multidimensional analysis was executed to answer the research questions. Sixty users used the GenAI image tools and then responded to a holistic evaluation framework. The results showed that while the GenAI image tools received favorable ratings for Usability, they fell short in achieving high scores, indicating room for improvement. None of the platforms received a positive evaluation in all UX scales, highlighting areas for enhancement. The benchmark comparison revealed that all platforms, except for Adobe Firefly’s Efficiency scale, require enhancements in pragmatic and hedonic qualities. Despite inducing neutral to above-average positive emotions and minimal negative emotions, the overall satisfaction was moderate, with Midjourney aligning more closely with user expectations. This study emphasizes the need for significant improvements in Usability, positive emotional resonance, and result satisfaction, even more so in UX, so that GenAI image tools can meet future designers’ expectations.
The Impact of Vitamin Deficiencies on Oral Manifestations in Children
Authors: Lešić Stjepanka , Ivanišević Zrinka , Špiljak Bruno , Tomas Matej , Šoštarić Magdalena , Včev Aleksandar
Published: April 2024

Vitamins play a vital role in human health, particularly in the development and maintenance of oral health in children. These nutrients are broadly categorized into fat-soluble and water-soluble types, crucial for children’s well-being. The objective of this study is to investigate the impact of vitamin deficiencies on the oral health of children, focusing on how these deficiencies contribute to various oral health issues and determining the relationship between specific vitamin shortages and oral diseases. Findings indicate that shortages in vitamins A and D lead to enamel issues and a higher susceptibility to dental diseases, vitamin E assists in treating oral mucositis, and vitamin K is essential for blood clotting in dental surgeries. Deficits in B-complex and vitamin C result in enamel hypomineralization and soft tissue ailments, including aphthous stomatitis and gingival petechiae. Additionally, a lack of vitamin B7 compromises the immune response, increasing oral candidiasis risk. Therefore, vitamin deficiencies markedly affect children’s oral health, highlighting the need for joint efforts between dental professionals and caregivers for effective pediatric care. Addressing vitamin deficiencies through supplementation and tailored dental care emphasizes the significance of nutritional health in children’s overall and dental well-being, advocating for a collaborative approach to achieve optimal health outcomes.
Distinction of Chaos from Randomness Is Not Possible from the Degree Distribution of the Visibility and Phase Space Reconstruction Graphs
Authors: Angelidis Alexandros K. , Goulas Konstantinos , Bratsas Charalampos , Makris Georgios C. , Hanias Michael P. , Stavrinides Stavros G. , Antoniou Ioannis E.
Published: April 2024

We investigate whether it is possible to distinguish chaotic time series from random time series using network theory. In this perspective, we selected four methods to generate graphs from time series: the natural, the horizontal, the limited penetrable horizontal visibility graph, and the phase space reconstruction method. These methods claim that the distinction of chaos from randomness is possible by studying the degree distribution of the generated graphs. We evaluated these methods by computing the results for chaotic time series from the 2D Torus Automorphisms, the chaotic Lorenz system, and a random sequence derived from the normal distribution. Although the results confirm previous studies, we found that the distinction of chaos from randomness is not generally possible in the context of the above methodologies.