bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Non-Invasive Zirconium Oxide Surface Treatment on Phase Changes
Authors: Regulska Kinga , Januszewicz Bartłomiej , Jędrzejczak Anna , Klimek Leszek
Published: February 2024

The aim of the research was to find a zirconia treatment method that would reduce or minimize the transformation from the tetragonal phase to the monoclinic phase. Background: Yttria-stabilized zirconia is increasingly chosen for the base of permanent prosthetic restorations. To achieve a good bond between the prosthetic cup and the veneer material, the material must be treated to achieve surface development. This is a mechanical process, during which an unfavorable transformation from the tetragonal into the monoclinic phase takes place, which leads to the weakening of the internal structure of zirconium dioxide, and later damages the prosthetic restoration. Methods: The tested material consisted of cylindrical samples of 3Y-TZP CeramillZi zirconium oxide, which were sintered after cutting out from the block. After sintering, the samples were subjected to the following types of processing: laser structuring, chemical etching and plasma etching. After the surface treatments, the samples were subjected to diffraction tests to determine the phase composition. Next, the wettability was tested to determine the surface free energy. Results: On the basis of the conducted tests, it was noticed that the applied treatments caused a phase transformation from the tetragonal to the monoclinic phase. After the process of chemical etching, the range of the monoclinic phase for the sample was 5%; after plasma etching, it was 8%, and after laser structuring, it was 2%. In addition, post-surface free energy studies have shown that zirconia is wetted better with an apolar than a polar liquid. Conclusions: The obtained results indicate that the transformation was minimized with the treatments we applied; that is why they are called non-invasive methods. According to the literature data, depending on the parameters of the sandblasting process, the percentage of the monoclinic phase in the treated surfaces ranges from 22% to 52%, which confirms the above-mentioned conclusion.
Potential Predictors of Long COVID in Italian Children: A Cross-Sectional Survey
Authors: Schiavo Marco , Di Filippo Paola , Porreca Annamaria , Prezioso Giovanni , Orlandi Greta , Rossi Nadia , Chiarelli Francesco , Attanasi Marina
Published: February 2024

Background: Identifying predictive factors of long COVID syndrome (LCS) is essential to preventing and managing this condition. We investigated the prevalence, symptoms, and risk factors of LCS in a cohort of Italian children and adolescents. Methods: We carried out a cross-sectional survey on demographic characteristics and clinical data related to COVID-19 phase and LCS in a cohort of children and adolescents, sending a questionnaire by using the PEDIATOTEM platform. Results: The prevalence of LCS was 25% (99/396). The most frequent symptoms of LCS included nasal congestion, diarrhea, headache, and fatigue. We found no association between demographic data (gender, age, and ethnicity) and LCS. Additionally, we showed that patients with concurrent allergic rhinitis, atopic dermatitis, respiratory disease, gastrointestinal disease, and rheumatologic disease had a higher risk of LCS than patients without those comorbidities. Patients experiencing fatigue, muscle, and abdominal pain in COVID-19 showed a higher risk of LCS than patients complaining of other symptoms. We found no association between vaccination and LCS. Conclusions: Specific comorbidities or symptoms during acute illness were identified as being risk factors for LCS. Understanding which are the risk factors for LCS could yield a clearer picture of its pathogenesis.
Perceptions and Expectations of Youth Regarding the Respect for Their Rights in the Hospital
Authors: De Rosa Roberta , Siano Maria Anna , Colucci Angelo , De Anseris Anna Giulia Elena , Siani Paolo , Vajro Pietro , Savarese Giulia , Mandato Claudia
Published: February 2024

Information obtained from children themselves regarding the characteristics of the ideal hospital that ensure well-being during a hospital stay is scarce. Here, we report the opinions, perceptions, and expectations of 700 children and adolescents about their experiences, assessed through a mixed-method research approach with age-appropriate questionnaires, three open-ended questions, and an analysis of optional pictorial and textual narratives. Most children indicated that, while they acknowledged the expertise of hospital staff, they also noted several shortcomings, e.g., insufficiently understandable medical information as well as emotional and cognitive support. The continuity of schooling and the right to suffer as little as possible were also critical issues. Adolescents valued in particular the quality of care and services provided, the hospital’s adherence to equality and non-discrimination rights, and protection systems but negatively perceived several aspects related to play and participation. Significant differences in the co-occurrences of the most frequently used text terms with the keywords “hospital” and “child/adolescent” between age groups highlight variations in the way patients perceive and articulate their experiences within the hospital setting depending on the cognitive processes linked to age. In drawings, prevailing attention was placed on the physical context of the hospital room, with figures expressing mostly negative emotions. Specifically, in this regard, the main emotion in children was sadness, and, in adolescents, it was fear. Overall, these insights are pivotal in the context of our research objectives as they shed light on the nuanced preferences, needs, and perspectives of children and adolescents during their hospital stays. Recognizing the identified shortcomings, we propose recommendations emphasizing the improvement of medical communication clarity, enhancement of emotional and cognitive support, and the improvement of programs to avoid instructional gaps during hospital stays. Addressing these specific needs is critical for a more comprehensive approach to pediatric healthcare provision.
The Effects of Age and Height on Gait Smoothness in Adolescent Athletes
Authors: Clarke Lindsay M. , Jones Resa M. , Hiremath Shivayogi V. , Franklin Corinna , Wright W. Geoffrey , Tucker Carole A.
Published: February 2024

(1) Background: Despite evidence of increased rates of sports injury during the years surrounding peak growth in adolescents, little is known regarding the relationship between adolescent growth and gait stability. The aim of this study was to gain a better understanding of how chronological age and height relate to gait stability in both male and female adolescents. (2) Methods: Participants (N = 67; females: n = 34, ages 8.7–15.9 years; males: n = 33, ages 10.0–16.7 years) completed two trials of treadmill walking at varying speeds: the preferred walking speed and 30% above and below. Trials were separated by a bout of fatiguing exercises. HarmonicRatios of the trunk, calculated from acceleration signals taken during walking, were used to quantify gait stability. Data were separated by sex and relationships between height and chronological age, and HarmonicRatios were assessed using multiple linear regression. (3) Results: Females’ HarmonicRatios improved with chronological age both before and after fatigue. Males’ HarmonicRatios increased with chronological age before fatigue; however, this effect was eliminated post-fatigue. Females’ height was negatively associated with HarmonicRatios post-fatigue. Males’ height was positively associated with HarmonicRatios pre-fatigue. (4) Conclusions: The study findings suggest sex differences in the effects of fatigue on gait stability during adolescence. In both sexes, HarmonicRatios increased with chronological age. These improvements were eliminated for males and altered for females with fatigue. The results of this study indicate the need for the reevaluation of sports progression based on chronological age in adolescents.
Comorbidities and Disease Duration in Tourette Syndrome: Impact on Cognition and Quality of Life of Children
Authors: Conte Giulia , Costanza Carola , Novelli Maria , Scarselli Veronica , Arigliani Elena , Valente Francesca , Baglioni Valentina , Terrinoni Arianna , Chiarotti Flavia , Cardona Francesco
Published: February 2024

Background: Cognitive functions represent foundational factors for mental health and quality of life (QoL). In Tourette syndrome (TS), psychiatric comorbidities are common and have been inconsistently reported to affect the cognition and QoL of patients, while the role of tic disorder duration has not been yet explored. Methods: To examine how comorbidities and TS duration may influence cognition and QoL, N = 80 children with TS (6–16 years) were evaluated using the Wechsler Intelligence Scale for Children (WISC-IV). Standardized questionnaires were used to assess the presence and severity of TS main comorbidities and QoL. Data were interpreted using linear correlations, regression, and mediation analysis. Results: Depression and attention-deficit/hyperactivity disorder (ADHD) symptoms accounted for poorer cognitive performance. Anxiety oppositely predicted better cognitive performance, while no significant role for obsessive compulsive disorder (OCD) was observed. Disease duration was associated with lower total IQ, verbal reasoning, and working memory abilities. Depression, anxiety, and TS duration also deeply influenced QoL measures. Conclusions: TS common comorbidities have a differential impact on the cognitive abilities of children and adolescents, which translates into a complex influence on their perceived QoL. A longer clinical history of tics was related to worse cognitive outcomes, which prompts further consideration of disease duration in both clinical and research settings involving children and adolescents.
Evaluation of the Viscoelastic Properties of Lower-Extremity Muscles of Pediatric Hemophilia Patients Using Myotonometric Measurements
Authors: Gönen Tuğba , Usgu Serkan , Yakut Yavuz , Akbayram Sinan
Published: February 2024

This study aimed to evaluate the viscoelastic properties of lower-extremity muscles in pediatric hemophilia (FVIII-IX) patients. The study included 20 severe- and moderate-type right-dominant hemophilia patients diagnosed with hemophilia A–B and 20 healthy children. Viscoelastic properties (tone, stiffness, elasticity) of the lower-extremity muscles were measured using a MyotonPRO device. The physical characteristics of the pediatric hemophilia patients (mean age: 11.9 ± 3.95 years) and the control group (mean age: 12.6 ± 3.41 years) were found to be similar. A difference was observed only in the elasticity of the right vastus lateralis (p < 0.05) by means of the viscoelastic properties of the lower-extremity muscles. The results were similar in other muscle groups (p > 0.05). The dominant-side vastus lateralis muscle elasticity (the ability of the muscle to regain its original shape after contraction or removal of an external force) of hemophilia patients was found to be lower compared to healthy children. The fact that 45% of hemarthroses occur in the knee joint and that recurrent bleeding may affect the flexibility of the vastus lateralis, which is the main muscle within the quadriceps muscle group and responsible for the stabilization of the patella, can be associated with the study results.
Real-Time Compact Digital Processing Chain for the Detection and Sorting of Neural Spikes from Implanted Microelectrode Arrays
Authors: Vittimberga Andrea , Corelli Riccardo , Scotti Giuseppe
Published: February 2024

Implantable microelectrodes arrays are used to record electrical signals from surrounding neurons and have led to incredible improvements in modern neuroscience research. Digital signals resulting from conditioning and the analog-to-digital conversion of neural spikes captured by microelectrodes arrays have to be elaborated in a dedicated DSP core devoted to a real-time spike-sorting process for the classification phase based on the source neurons from which they were emitted. On-chip spike-sorting is also essential to achieve enough data reduction to allow for wireless transmission within the power constraints imposed on implantable devices. The design of such integrated circuits must meet stringent constraints related to ultra-low power density and the minimum silicon area, as well as several application requirements. The aim of this work is to present real-time hardware architecture able to perform all the spike-sorting tasks on chip while satisfying the aforementioned stringent requirements related to this type of application. The proposed solution has been coded in VHDL language and simulated in the Cadence Xcelium tool to verify the functional behavior of the digital processing chain. Then, a synthesis and place and route flow has been carried out to implement the proposed architecture in both a 130 nm and a FD-SOI 28 nm CMOS process, with a 200 MHz clock frequency target. Post-layout simulations in the Cadence Xcelium tool confirmed the proper operation up to a 200 MHz clock frequency. The area occupation and power consumption of the proposed detection and clustering module are 0.2659 mm2/ch, 7.16 μW/ch, 0.0168 mm2/ch, and 0.47 μW/ch for the 130 nm and 28 nm implementation, respectively.
Full Familiarisation Is Not Required for the Self-Paced 1 km Treadmill Walk to Predict Peak Oxygen Uptake in Phase IV Cardiac Patients
Authors: Gault Mandy L. , Willems Mark E. T.
Published: February 2024

Exercise is a recommended part of phase IV cardiovascular rehabilitation (CR). The 1 km treadmill walk test (1-KTWT) is a submaximal continuous exercise test to predict cardiorespiratory fitness in patients with cardiovascular disease. We examined physiological, metabolic and subjective responses in patients with cardiovascular disease with self-selected, unchanging walking speed for two 1-KTWTs. Fifteen men (age: 65 ± 9 yr, height: 174 ± 5 cm, body mass: 86 ± 17 kg, BMI: 28.5 ± 5.5 kg·m−2, body fat%: 27.7 ± 7.5%, 10 on beta-blockers) were recruited from phase IV CR groups in the United Kingdom. Participants established a self-selected walking speed for the 1-KTWT and performed the 1-KTWT on separate days with recording of physiological responses to predict V˙O2peak with equations. For the two 1-KTWTs, no differences existed for walking speed, mean and maximal heart rates, oxygen uptake, predicted V˙O2peak (1st 1-KTWT (range: 41–78% V˙O2peak, 95%CI, 53–65; 2nd 1-KTWT range: 43–78% V˙O2peak, 95%CI, 52–65) and rating of perceived exertion. In phase IV cardiac patients, the 1-KTWT with self-selected, unchanging walking speed can be used for V˙O2peak prediction without the need for a full familiarisation. The self-selected constant walking speed for the first 1-KTWT can be used to support nonsupervised physical activity for phase IV CR patients.
Plasma Electrolytic Oxidation (PEO) as a Promising Technology for the Development of High-Performance Coatings on Cast Al-Si Alloys: A Review
Authors: Fernández-López Patricia , Alves Sofia A. , San-Jose Jose T. , Gutierrez-Berasategui Eva , Bayón Raquel
Published: February 2024

Cast Al-Si alloys, recognized for their excellent mechanical properties, constitute one of the most widely employed non-ferrous substrates in several sectors, and are particularly relevant in the transport industry. Nevertheless, these alloys also display inherent limitations that significantly restrict their use in several applications. Among these limitations, their low hardness, low wear resistance, or limited anti-corrosion properties, which are often not enough when the component is subjected to more severe environments, are particularly relevant. In this context, surface modification and the development of coatings are essential for the application of cast Al-Si alloys. This review focuses on the development of coatings to overcome the complexities associated with improving the performance of cast Al-Si alloys. Against this background, plasma electrolytic oxidation (PEO), an advanced electrochemical treatment that has revolutionized the surface modification of several metallic alloys in recent years, emerges as a promising approach. Despite the growing recognition of PEO technology, the achievement of high-performance coatings on cast Al-Si is still a challenge nowadays, for which reason this review aims to provide an overview of the PEO treatment applied to these alloys. In particular, the impact of the electrolyte chemical composition on the properties of the coatings obtained on different alloys exposed to harsh environments has been analyzed and discussed. By addressing the existing gaps and challenges, this paper contributes to a better understanding of the intricacies associated with the development of robust PEO coatings on cast Al-Si alloys.
The Influence of TiO2 Nanoparticles on the Physico–Mechanical and Structural Characteristics of Cementitious Materials
Authors: Florean Carmen T. , Vermesan Horatiu , Thalmaier Gyorgy , Neamtu Bogdan V. , Gabor Timea , Campian Cristina , Hegyi Andreea , Csapai Alexandra
Published: February 2024

The urgent need for sustainable construction that corresponds to the three pillars of sustainable development is obvious and continuously requires innovative solutions. Cementitious composites with TiO2 nanoparticles (NT) addition show potential due to their improved durability, physico–mechanical characteristics, and self-cleaning capacity. This study aimed to evaluate the influence of NT on cementitious composites by comparing those with 2%–5% nanoparticles with a similar control sample without nanoparticles, as well as an analysis of cost growth. The experimental results showed an increase in bulk density of the material (4.7%–7.4%), reduction in large pore sizes by min. 12.5%, together with an increase in cumulative volume and cumulative specific surface area of small pore sizes, indicating densification of the material, also supported by SEM, EDS, and XRD analyses indicating acceleration of cement hydration processes with formation of specific products. The changes at microstructural level support the experimental results obtained at macrostructural level, i.e., modest but existent increases in flexural strength (0.6%–7.9%) and compressive strength (0.2%–2.6%) or more significant improvements in abrasion resistance (8.2%–58%) and reduction in water absorption coefficient (37.5%–81.3%). Following the cost–benefit analysis, it was concluded that, for the example case considered of a pedestrian pavement with a surface area of 100 m2, using 100 mm thick slabs, if these slabs were to be made with two layers, the lower layer made of cementitious composite as a reference and the upper layer with a thickness of 10 mm made of cementitious composite with 3% NT or 4% NT, the increase in cost would be acceptable, representing less than 15% compared to the cost for the exclusive use of cementitious composite without NT.
Patient-Perceived Impact of the COVID-19 Pandemic on Medication Adherence and Access to Care for Long-Term Diseases: A Cross-Sectional Online Survey
Authors: Santos Beatriz , Boulaguiem Younes , Baysson Helene , Pullen Nick , Guessous Idris , Guerrier Stephane , Stringhini Silvia , Schneider Marie P.
Published: February 2024

The COVID-19 pandemic has been associated with lifestyle changes, reduced access to care and potential impacts on medication self-management. Our main objectives are to evaluate the impact of the pandemic on patient adherence and access to care and long-term medications and determine its association with sociodemographic and clinical factors. This study is part of the Specchio-COVID-19 longitudinal cohort study in Geneva, Switzerland, conducted through an online questionnaire. Among the 982 participants (median age: 56; 61% female), 827 took long-term medications. There were 76 reported changes in medication dosages, of which 24 (31%) were without a physician’s recommendation, and 51 delays in initiation or premature medication interruptions, of which 24 (47%) were without a physician’s recommendation. Only 1% (9/827) of participants faced medication access issues. Participants taking a respiratory medication had a four-times greater odds of reporting more regular medication (OR = 4.27; CI 95%: 2.11–8.63) intake, whereas each year increase in age was significantly associated with 6% fewer relative risks of discontinuation (OR = 0.94; CI 95%: 0.91–0.97) and 3% fewer relative risks of changes in medication dosage (OR = 0.97; CI 95%: 0.95–1.00). Despite the limited impact of the pandemic on adherence and access to medications, our results emphasize the need for understanding patient challenges when self-managing their long-term medication, notably during public health crises.
Development of Mouse Hepatitis Virus Chimeric Reporter Viruses Expressing the 3CLpro Proteases of Human Coronaviruses HKU1 and OC43 Reveals Susceptibility to Inactivation by Natural Inhibitors Baicalin and Baicalein
Authors: Huffman Elise R. , Franges Jared X. , Doster Jayden M. , Armstrong Alexis R. , Batista Yara S. , Harrison Cameron M. , Brooks Jon D. , Thomas Morgan N. , Butler Student Virology Group  , Tomar Sakshi , Stobart Christopher C. , Beachboard Dia C.
Published: February 2024

The recent emergence of SARS-CoV-2 in 2019 has highlighted the necessity of antiviral therapeutics for current and future emerging coronaviruses. Recently, the traditional herbal medicines baicalein, baicalin, and andrographolide have shown inhibition against the main protease of SARS-CoV-2. This provides a promising new direction for COVID-19 therapeutics, but it remains unknown whether these three substances inhibit other human coronaviruses. In this study, we describe the development of novel chimeric mouse hepatitis virus (MHV) reporters that express firefly luciferase (FFL) and the 3CLpro proteases of human coronaviruses HKU1 and OC43. These chimeric viruses were used to determine if the phytochemicals baicalein, baicalin, and andrographolide are inhibitory against human coronavirus strains HKU1 and OC43. Our data show that both baicalein and baicalin exhibit inhibition towards the chimeric MHV strains. However, andrographolide induces cytotoxicity and failed to demonstrate selective toxicity towards the viruses. This study reports the development and use of a safe replicating reporter platform to investigate potential coronavirus 3CLpro inhibitors against common-cold human coronavirus strains HKU1 and OC43.
A Taxonomic Review of South African Indigenous Meliaceae Using Molecular Systematics and Anatomical Data
Authors: Oyedeji Amusa Mariam Oyefunke , Stewart Ross Dylan , van der Bank Michelle , van Wyk Ben-Erik
Published: February 2024

The Meliaceae are broadly distributed worldwide, with about 50 genera and over 1400 species. There are 11 genera in South Africa, with 13 indigenous and three naturalized species. Considering the diversity of the indigenous species of this family in South Africa and the lack of recent studies encompassing these species, a taxonomic revision of the South African indigenous species of Meliaceae is presented here. Phylogenetic analysis, anatomical data, herbarium collections, and online data sources were used in this study. The results confirm the monophyly of Melioideae and Swietenioideae. The incongruence of Turraea previously reported was resolved in this study. Most representative genera of South African Meliaceae were recovered monophyletic with strong support. However, multiple samplings of species and including more markers could provide a better understanding of the relationships among South African species of Meliaceae. The review of the taxonomy of the South African Meliaceae, and especially the study of diagnostic characters and hitherto recorded natural distributions, have value in providing an up-to-date inventory of the indigenous genera and species and an easy means of identifying the taxa. Anatomical characters may be of systematic value to explore higher-level relationships in the family. This study is a contribution to tropical botany and to a more comprehensive database for the Meliaceae.
Type of Material, Not Tree Hole Characteristics Shapes Uropodina Mites’ Species Composition in Excavated Tree Holes
Authors: Hebda Grzegorz , Błoszyk Jerzy
Published: February 2024

Uropodina mites are organisms regularly found in the breeding sites of vertebrates. However, studies devoted to the nest dwellers of hole-nesting birds have been performed nearly exclusively in artificial places, i.e., nest boxes. Here, we describe an assemblage of mites from the Uropodina group living in excavated tree holes. We performed this study in western Poland, sampling material from 49 tree holes excavated by great spotted and black woodpeckers. We divided the material extracted from the tree holes into three categories: wood debris, remnants of bird nests, and remnants of insects. In total, we found 12 species from the Uropodina group. The two most numerous species, Leiodinychus orbicularis and Chiropturopoda nidiphila, constituted ca. 93% of the assemblage. Two other species, Apionoseius infirmus and Uroobovella obovata, were also relatively frequent. Among the assessed factors (woodpecker species, tree hole characteristics, and type of material), only the presence of insect remains, predominantly bat guano, affected species diversity and mite abundance the most. Our study is the first to describe an assemblage of Uropodina species in excavated tree holes and discover two extremely rare mite species, Ch. nidiphila and Nanteria banatica, related to the presence of bat guano in these cavities.
Recent Advances in Endoscopic Ultrasound for Gallbladder Disease Diagnosis
Authors: Takahashi Kosuke , Ozawa Eisuke , Shimakura Akane , Mori Tomotaka , Miyaaki Hisamitsu , Nakao Kazuhiko
Published: February 2024

Gallbladder (GB) disease is classified into two broad categories: GB wall-thickening and protuberant lesions, which include various lesions, such as adenomyomatosis, cholecystitis, GB polyps, and GB carcinoma. This review summarizes recent advances in the differential diagnosis of GB lesions, focusing primarily on endoscopic ultrasound (EUS) and related technologies. Fundamental B-mode EUS and contrast-enhanced harmonic EUS (CH-EUS) have been reported to be useful for the diagnosis of GB diseases because they can evaluate the thickening of the GB wall and protuberant lesions in detail. We also outline the current status of EUS-guided fine-needle aspiration (EUS-FNA) for GB lesions, as there have been scattered reports on EUS-FNA in recent years. Furthermore, artificial intelligence (AI) technologies, ranging from machine learning to deep learning, have become popular in healthcare for disease diagnosis, drug discovery, drug development, and patient risk identification. In this review, we outline the current status of AI in the diagnosis of GB.
Clinical Biochemistry of Serum Troponin
Authors: Gokhan Ilhan , Dong Weilai , Grubman Daniel , Mezue Kenechukwu , Yang David , Wang Yanting , Gandhi Parul U. , Kwan Jennifer M. , Hu Jiun-Ruey
Published: February 2024

Accurate measurement and interpretation of serum levels of troponin (Tn) is a central part of the clinical workup of a patient presenting with chest pain suspicious for acute coronary syndrome (ACS). Knowledge of the molecular characteristics of the troponin complex and test characteristics of troponin measurement assays allows for a deeper understanding of causes of false positive and false negative test results in myocardial injury. In this review, we discuss the molecular structure and functions of the constituent proteins of the troponin complex (TnT, TnC, and TnI); review the different isoforms of Tn and where they are from; survey the evolution of clinical Tn assays, ranging from first-generation to high-sensitivity (hs); provide a primer on statistical interpretation of assay results based on different clinical settings; and discuss potential causes of false results. We also summarize the advances in technologies that may lead to the development of future Tn assays, including the development of point of care assays and wearable Tn sensors for real-time continuous measurement.
Quantitative Forecasting of Malaria Parasite Using Machine Learning Models: MLR, ANN, ANFIS and Random Forest
Authors: Uzun Ozsahin Dilber , Duwa Basil Barth , Ozsahin Ilker , Uzun Berna
Published: February 2024

Malaria continues to be a major barrier to socioeconomic development in Africa, where its death rate is over 90%. The predictive power of many machine learning models—such as multi-linear regression (MLR), artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFISs) and Random Forest classifier—is investigated in this study using data from 2207 patients. The dataset was reduced from the initial dataset of thirty-two criteria samples to fifteen. Assessment measures such as the root mean square error (RMSE), mean square error (MSE), coefficient of determination (R2), and adjusted correlation coefficient R were used. ANFIS, Random Forest, MLR, and ANN are among the models. After training, ANN outperforms ANFIS (97%), MLR (92%), and Random Forest (68%) with the greatest R (99%) and R2 (99%), respectively. The testing stage confirms the superiority of ANN. The paper also presents a statistical forecasting sheet with few errors and excellent accuracy for MLR models. When the models are assessed with Random Forest, the latter shows the least results, thus broadening the modeling techniques and offering significant insights into the prediction of malaria and healthcare decision making. The outcomes of using machine learning models for precise and efficient illness prediction add to an expanding body of knowledge, assisting healthcare systems in making better decisions and allocating resources more effectively.
Analysis of HLA-G 14 bp Insertion/Deletion Polymorphism and HLA-G, ILT2 and ILT4 Expression in Head and Neck Squamous Cell Carcinoma Patients
Authors: Durmanova Vladimira , Tedla Miroslav , Rada Dusan , Bandzuchova Helena , Kuba Daniel , Suchankova Magda , Ocenasova Agata , Bucova Maria
Published: February 2024

HLA-G is the checkpoint molecule involved in the suppression of the immune response. Increased expression of HLA-G and its ILTs receptors have been correlated with tumor progression in various cancer types. In head and neck squamous cell carcinoma (HNSCC) tumors, the effect of HLA-G, ILT2 and ILT4 expression on cancer development has to be explained. The 34 HNSCC patients and 98 controls were genotyped for the HLA-G 14 bp ins/del polymorphism. In HNSCC lesions, HLA-G, ILT2 and ILT4 mRNA expression was analysed using real-time PCR. The association between HLA-G, ILT2 and ILT4 mRNA expression and clinical variables (age at onset, TNM staging system and p16 positivity) was also evaluated. No genetic association between the HLA-G 14 bp ins/del and HNSCC risk was detected (p > 0.05). However, in the non-metastatic HNSCC group, a significantly higher HLA-G mRNA expression was noted in tumors in the T4 stage compared to those in the T1 and T2 stages (p = 0.0289). ILT2 mRNA expression was significantly increased in non-metastatic vs. metastatic tumors (p = 0.0269). Furthermore, a significantly higher ILT4 mRNA expression was noted in tumors in the T1+T2 stage compared to those in the T3 stage (p = 0.0495). Our results suggest that the HLA-G molecule creates an immunological microenvironment involved in HNSCC development.
Automated Atrial Fibrillation Diagnosis by Echocardiography without ECG: Accuracy and Applications of a New Deep Learning Approach
Authors: Lu Nelson , Vaseli Hooman , Mahdavi Mobina , Taheri Dezaki Fatemah , Luong Christina , Yeung Darwin , Gin Ken , Tsang Michael , Nair Parvathy , Jue John , Barnes Marion , Behnami Delaram , Abolmaesumi Purang , Tsang Teresa S. M.
Published: February 2024

Background: Automated rhythm detection on echocardiography through artificial intelligence (AI) has yet to be fully realized. We propose an AI model trained to identify atrial fibrillation (AF) using apical 4-chamber (AP4) cines without requiring electrocardiogram (ECG) data. Methods: Transthoracic echocardiography studies of consecutive patients ≥ 18 years old at our tertiary care centre were retrospectively reviewed for AF and sinus rhythm. The study was first interpreted by level III-trained echocardiography cardiologists as the gold standard for rhythm diagnosis based on ECG rhythm strip and imaging assessment, which was also verified with a 12-lead ECG around the time of the study. AP4 cines with three cardiac cycles were then extracted from these studies with the rhythm strip and Doppler information removed and introduced to the deep learning model ResNet(2+1)D with an 80:10:10 training–validation–test split ratio. Results: 634 patient studies (1205 cines) were included. After training, the AI model achieved high accuracy on validation for detection of both AF and sinus rhythm (mean F1-score = 0.92; AUROC = 0.95). Performance was consistent on the test dataset (mean F1-score = 0.94, AUROC = 0.98) when using the cardiologist’s assessment of the ECG rhythm strip as the gold standard, who had access to the full study and external ECG data, while the AI model did not. Conclusions: AF detection by AI on echocardiography without ECG appears accurate when compared to an echocardiography cardiologist’s assessment of the ECG rhythm strip as the gold standard. This has potential clinical implications in point-of-care ultrasound and stroke risk stratification.
Long Vax in the Eye: Long Post-COVID Vaccination Syndrome Presenting with Frosted Branch Angiitis
Authors: Kamoi Koju , Ohno-Matsui Kyoko
Published: February 2024

mRNA COVID-19 vaccines have been reported as protecting against COVID-19 and reducing its severity, and we have recognized post-vaccination symptoms recently. This research investigates the clinical trajectories of ocular disorders in a 51-year-old female who received a second dose of the BNT162b2 (Pfizer-BioNTech) mRNA COVID-19 vaccine. Exhibiting fever and blurred vision within 24 h post-vaccination, with progressive blurry vision over two months, she underwent in-depth ophthalmologic examinations, revealing intraocular cellular infiltration in anterior chamber, vitreous opacity, and frosted branch angiitis in both eyes. Comprehensive evaluations, including systemic workups as well as ocular and blood specimen analyses, excluded autoimmune and infectious etiologies, consolidating the diagnosis of vaccine-induced ocular inflammation. Despite adherence to prevailing therapeutic protocols, her condition showed no significant improvement over 18 months, pointing to a possible long post-COVID vaccination syndrome. Such persistent sequelae underscore the need for detailed studies to discern the interactions between vaccine-induced immune responses and the development of post-vaccination sequelae. Continual documentation of patients with long post-COVID vaccination syndrome is now essential to better understand the vaccine’s immunological effects, aiding in improving global vaccination strategies.
Neuropathic Corneal Pain after Coronavirus Disease 2019 (COVID-19) Infection
Authors: Wong Natalie Shi Qi , Liu Chang , Lin Molly Tzu-Yu , Lee Isabelle Xin Yu , Tong Louis , Liu Yu-Chi
Published: February 2024

Introduction: This is a case report of a patient with neuropathic corneal pain after coronavirus disease 2019 (COVID-19) infection. Methods: A previously healthy 27-year-old female presented with bilateral eye pain accompanied by increased light sensitivity 5 months after COVID-19 infection. She was diagnosed with neuropathic corneal pain based on clear corneas without fluorescein staining, alongside the presence of microneuromas, dendritic cells, and activated stromal keratocytes identified bilaterally on in vivo confocal microscopy. Results: The patient’s tear nerve growth factor, substance P, and calcitonin gene-related peptide levels were 5.9 pg/mL, 2978.7 pg/mL, and 1.1 ng/mL, respectively, for the right eye and 23.1 pg/mL, 4798.7 pg/mL, and 1.2 ng/mL, respectively, for the left eye, suggesting corneal neuroinflammatory status. After 6 weeks of topical 0.1% flurometholone treatment, decreased microneuroma size, less extensive dendritic cells, and reduced tear nerve growth factor and substance P levels were observed. The scores on the Ocular Pain Assessment Survey showed an improvement in burning sensation and light sensitivity, decreasing from 80% and 70% to 50% for both. Conclusions: Neuropathic corneal pain is a potential post-COVID-19 complication that warrants ophthalmologists’ and neurologists’ attention.
The Association between Diagnosis-to-Ablation Time and the Recurrence of Atrial Fibrillation: A Retrospective Cohort Study
Authors: Nastasă Alexandrina , Sahloul Mohamad Hussam , Iorgulescu Corneliu , Bogdan Ștefan , Scărlătescu Alina , Paja Steliana , Pupaza Adelina , Mitran Raluca , Gondos Viviana , Vătășescu Radu Gabriel
Published: February 2024

Background: Catheter ablation (CA) for atrial fibrillation (AF) is superior to antiarrhythmic drugs in maintaining sinus rhythm. Novel evidence suggests that increasing the time between the first diagnosis of AF and ablation, or diagnosis-to-ablation time (DAT), is a predictor for AF recurrence post-ablation. Purpose: Our primary objective was to investigate the relationship between DAT and AF recurrence after a first ablation. Methods: Patients with AF who underwent CA in our center were enrolled consecutively, and a retrospective analysis was performed. DAT was treated as a continuous variable and reported as a median for the group with recurrence and the group without recurrence. DAT was also considered as a categorical variable and patients were stratified into three categories: DAT < 1 year, DAT < 2 years, and DAT < 4 years. Results: The cohort included 107 patients, with a mean age of 54.3 ± 11.7 years. Mean DAT was significantly longer in those with AF recurrence: 4.9(3.06) years versus 3.99(3.5) (p = 0.04). The Kaplan–Meier curve revealed a higher likelihood of AF-free status over time for patients with DAT < 2 years compared to those with DAT > 2 years (p = 0.04). Cox multivariate analysis indicated that left atrial volume index (LAVI), obstructive sleep apnoea (OSA), and DAT > 2 years were independently associated with AF recurrence after a single AF ablation procedure (p = 0.007, p = 0.02, and p = 0.03, respectively). Conclusion: A shorter duration between the first AF diagnosis and AF ablation is associated with an increased likelihood of procedural success after a single AF ablation procedure.
The Potential Analytical Impact of Significant Sectoral Creative Economy on Thailand’s Economy: A Case Study of the IRS-CGE Model vs. the CRS-CGE Model for Both the National and Provincial Economies
Authors: Chaiboonsri Chukiat
Published: February 2024

The United Nations has promoted and supported the UNCTAD Creative Economy Programme since 2004 to help countries around the world understand how to promote economic development through creativity in industries. This research article aims to determine whether the creative economy will be the major engine to accelerate Thailand’s economic development in the coming decade or not, and what the major creative economy sectors are that must be prioritized or initiated and focused on. The data implemented in this research cover 2011–2018, which consist of creative economy sector income, the IO table, and the SAM table. The methodology utilized in this research was the ML model, the GREY model for predicting the growth rate of income from the major creative economy sectors contribute to Thailand’s economy between 2019–2025, and the CGE model. The study’s empirical findings show that the significant sectoral creative economy consists of fashion, advertising, Thai food, and cultural tourism, which need to be given more stimulus. Furthermore, the economies of Chiang Mai, and Thailand as a whole, would eventually be high-income economies if creative economy sectors were to be promoted and continuously supported by efficient policies. the economic growth of Thailand and Chiang Mai would eventually become high income whenever these economies allow creative economy sectors to be promoted or supported by efficient policies continuously.
Research on Parallel Reading and Drawing Techniques for Chemical Mechanical Polishing Simulation Data Based on Multi-Thread
Authors: Ji Zhenyu , Chen Lan , Sun Yan , Cai Hong
Published: February 2024

In advanced integrated circuit manufacturing, the quality of chemical mechanical polishing (CMP) is a key factor affecting chip performance and yield. Designers need to use CMP simulation tools to locate and analyze the defects in the layout after the CMP process. However, the advancement of process nodes and the increase in data volume presents a great challenge to the speed of graphical display of CMP simulation data. To solve this issue, we propose a solution that uses multi-threading technology to optimize both data reading and drawing. In the process of data reading, we employ OpenMP and memory mapping (Mmap) technology to achieve parallel reading of file segmentation and propose a fast-string conversion algorithm based on the properties of simulation data. In the process of data drawing, we propose an adaptive downsampling method for data graphical display that combines multi-threading and double buffering technology to enable the parallel drawing of layouts. The effectiveness of this method is verified by testing CMP simulation data of various scales. Compared to traditional methods, this approach improves reading efficiency by over 8 times and drawing efficiency by more than 10 times. Furthermore, it enhances the smoothness of interaction with the CMP simulation tool.
Body Biasing Techniques for Dynamic Comparators: A Systematic Survey
Authors: Spinogatti Valerio , Della Sala Riccardo , Bocciarelli Cristian , Centurelli Francesco , Trifiletti Alessandro
Published: February 2024

Forward body biasing (FBB) has often been exploited in the literature for improving the performance of both analog and digital building blocks. Recent works have explored the application of FBB variants to mixed-signal electronics and in particular to dynamic comparators, where these techniques can help to relax the trade-off between speed and power consumption at medium and low supply voltages. However, the literature lacks a structured analysis of the solutions that have been developed and of the trade-offs that affect them. This work attempts to fill the gap by providing a survey of the application of FBB techniques to dynamic comparators. The analysis focuses on the two most popular dynamic comparator topologies, the Strong Arm latch and Elzakker’s comparator. Several FBB variants are examined from a theoretical point of view. Moreover, the benefits and the limitations of the different approaches are assessed in terms of the main figures of merit through a systematic campaign of simulations in a 55 nm CMOS technology.
Novel Method of Edge-Removing Walk for Graph Representation in User Identity Linkage
Authors: Xie Xiaqing , Zang Wenyu , Hu Yanlin , Ji Jiangyu , Xiong Zhihao
Published: February 2024

Random-walk-based graph representation methods have been widely applied in User Identity Linkage (UIL) tasks, which links overlapping users between two different social networks. It can help us to obtain more comprehensive portraits of criminals, which is helpful for improving cyberspace governance. Yet, random walk generates a large number of repeating sequences, causing unnecessary computation and storage overhead. This paper proposes a novel method called Edge-Removing Walk (ERW) that can replace random walk in random-walk-based models. It removes edges once they are walked in a walk round to capture the l−hop features without repetition, and it walks the whole graph for several rounds to capture the different kinds of paths starting from a specific node. Experiments proved that ERW can exponentially improve the efficiency for random-walk-based UIL models, even maintaining better performance. We finally generalize ERW into a general User Identity Linkage framework called ERW-UIL and verify its performance.
How Shifting Focus from Register to Data Functionality Can Enhance Register and Bus Management
Authors: Kruszewski Michał
Published: February 2024

Bus and register management is one of the crucial aspects of application-specific integrated circuit-, system-on-chip-, or field-programmable gate array-based designs. The problems related to it are well known, and multiple tools or approaches are already trying to solve or mitigate them. However, all available solutions share the same register-centric paradigm. A user defines registers and then manually lays out the data into the registers. Such an approach has its limitations. A description does not contain information on data spanning multiple registers or data forming a broader context, for example, procedure arguments. It also does not contain information on the purpose of the data. As a result, the generated access code is low-level and usually needs an extra wrapper, which leaves room for potential human mistakes. For instance, it is the user’s responsibility to guarantee proper access order to registers or to provide an atomic change of data wider than a single register width. This article proposes a new approach, the functionality-centric approach. In the functionality-centric approach, the user defines the data with the type of their functionality. The registers and bus hierarchy are later implicitly inferred. By defining the functionality of the data placed in the registers, it is possible to generate more access code, increase code robustness, improve system design readability, and shorten the implementation process.
Hotspot Temperature Prediction of Relay Protection Equipment Based on a Physical-Model-Aided Data-Driven Method
Authors: Jin Long , Zhou Zexin , Li Youjun , Zou Zhiyang , Zhao Weisen
Published: February 2024

Relay protection equipment (RPE) is a type of automation equipment aiming to protect power systems from further damage caused by local faults. It is thus important to ensure the normal operation of RPE. As the power density of electronic components continuously increases, the overheating problem of RPE cannot be neglected. Given the difficulties in implementing direct measurement and predicting development trends of RPE temperature, a novel hotspot temperature monitoring method for RPE was proposed, which is a data-driven method. The generative adversarial network, aided by a physical model, is used to address small samples. Afterwards, a stacked ensemble model established based on random forests was used to predict the hotspot temperature of the RPE. Experiment results show that the proposed method can effectively predict hotspot temperature of RPE with the predictive error lower than 2%. And comparative results demonstrate the superiority of the proposed method compared to other methods.