bluuebunny/crossref_metadata_2025 huggingface dataset:
Skin Anti-Aging Efficacy of a Lactobacillus plantarum GT-17F Fermented Dendrobium officinale Ingredient: A Randomized, Double-Blind, Placebo-Controlled Clinical Study
Authors: Fei Weicheng , Noda Masafumi , Danshiitsoodol Narandalai , Sugiyama Masanori
Published: February 2024

We previously found that fermented extract of Dendrobium officinale using Lactobacillus plantarum GT-17F has a stronger antioxidant effect, especially in free radical scavenging. The result provided a basis for further studies to evaluate the effectiveness of fermented D. officinale in preventing UV-mediated damage and photoaging in humans. Therefore, in this study, we aimed to assess the anti-aging efficacy of D. officinale fermented with GT-17F strain in a clinical trial, which was conducted as a double-blind, placebo-controlled, randomized parallel-group comparative study with 99 volunteers with visible wrinkles. During the study, subjects were instructed to apply one pump of each essence, which contains fermented, unfermented, or no D. officinale extract, evenly to their face, both in the morning and evening, following their cleansing routine. At 28 days post-treatment, compared to baseline, subjects in the fermented extract group demonstrated significant improvements in stratum corneum water content, skin elasticity, skin glossiness, wrinkle area and ratio, erythema area, and erythema area ratio. In contrast, the unfermented extract group showed a significant difference only in improving erythema index levels in the skin. This comprehensive study has rigorously investigated the anti-aging effects of D. officinale and its fermented version on human skin, highlighting a notable contribution to dermatological research.
Silicon Solar Cells: Trends, Manufacturing Challenges, and AI Perspectives
Authors: Di Sabatino Marisa , Hendawi Rania , Garcia Alfredo Sanchez
Published: February 2024

Photovoltaic (PV) installations have experienced significant growth in the past 20 years. During this period, the solar industry has witnessed technological advances, cost reductions, and increased awareness of renewable energy’s benefits. As more than 90% of the commercial solar cells in the market are made from silicon, in this work we will focus on silicon-based solar cells. As PV research is a very dynamic field, we believe that there is a need to present an overview of the status of silicon solar cell manufacturing (from feedstock production to ingot processing to solar cell fabrication), including recycling and the use of artificial intelligence. Therefore, this work introduces the silicon solar cell value chain with cost and sustainability aspects. It provides an overview of the main manufacturing techniques for silicon ingots, specifically Czochralski and directional solidification, with a focus on highlighting their key characteristics. We discuss the major challenges in silicon ingot production for solar applications, particularly optimizing production yield, reducing costs, and improving efficiency to meet the continued high demand for solar cells. We review solar cell technology developments in recent years and the new trends. We briefly discuss the recycling aspects, and finally, we present how digitalization and artificial intelligence can aid in solving some of the current PV industry challenges.
Quality of Life Following the Surgical Management of Gastric Cancer Using Patient-Reported Outcomes: A Systematic Review
Authors: Vallance Patrick Cullen , Mack Lloyd , Bouchard-Fortier Antoine , Jost Evan
Published: February 2024

Introduction: Surgical management of gastric adenocarcinoma can have a drastic impact on a patient’s quality of life (QoL). There is high variability among surgeons’ preferences for the type of resection and reconstructive method. Peri-operative and cancer-specific outcomes remain equivalent between the different approaches. Therefore, postoperative quality of life can be viewed as a deciding factor for the surgical approach. The goal of this study was to interrogate patient QoL using patient-reported outcomes (PROs) following gastrectomy for gastric cancer. Methods: This systematic review was registered at Prospero and followed PRISMA guidelines. Medline, Embase, and Scopus were used to perform a literature search on 18 January 2020. A set of selection criteria and the data extraction sheet were predefined. Covidence (Melbourne, Australia) software was used; two reviewers (P.C.V. and E.J.) independently reviewed the articles, and a third resolved conflicts (A.B.F.). Results: The search yielded 1446 studies; 308 articles underwent full-text review. Ultimately, 28 studies were included for qualitative analysis, including 4630 patients. Significant heterogeneity existed between the studies. Geography was predominately East Asian (22/28 articles). While all aspects of quality of life were found to be affected by a gastrectomy, most functional or symptom-specific measures reached baseline by 6–12 months. The most significant ongoing symptoms were reflux, diarrhoea, and nausea/vomiting. Discussion: Generally, patients who undergo a gastrectomy return to baseline QoL by one year, regardless of the type of surgery or reconstruction. A subtotal distal gastrectomy is preferred when proper oncologic margins can be obtained. Additionally, no one form of reconstruction following gastrectomy is statistically preferred over another. However, for subtotal distal gastrectomy, there was a trend toward Roux-en-Y reconstruction as superior to abating reflux.
Expectations and Experiences of Participating in a Supervised and Home-Based Physical Exercise Intervention in Patients with Head and Neck Cancer during Chemoradiotherapy: A Qualitative Study
Authors: Kok Annemieke , Passchier Ellen , May Anne M. , Jager-Wittenaar Harriët , Veenhof Cindy , de Bree Remco , Stuiver Martijn M. , Speksnijder Caroline M.
Published: February 2024

(1) Background: Chemoradiotherapy (CRT) for head and neck cancer (HNC) is associated with severe toxicity resulting in fatigue and weight loss, including loss of skeletal muscle mass. Exercise interventions might positively affect physical fitness and quality of life. Sufficient adherence and compliance rates are necessary for optimal effects. This study aimed to gain insight into expectations and experiences and factors influencing adherence, retention and compliance of HNC patients participating in exercise intervention during CRT. (2) Methods: Consecutive participants were invited for semi-structured interviews, conducted pre- and post-intervention. A deductive approach was used to identify themes and factors influencing adherence, retention and compliance. (3) Results: Thematic saturation was reached after interviewing 14 patients pre-intervention. Five themes were identified: planning and time management, treatment toxicity, motivation to exercise, exercise intervention and supervision by a physiotherapist. The intensity of the treatment schedule and treatment toxicity were important barriers. Facilitators mentioned were physical and emotional benefits, social support as well as the simplicity and home-based setting of the intervention. (4) Conclusions: A personalised approach, considering the individual facilitators and barriers of HNC patients, is important to increase adherence, retention and compliance to exercise intervention and to reap the optimal effects of the program.
Biopsy Techniques for Musculoskeletal Tumors: Basic Principles and Specialized Techniques
Authors: Mavrogenis Andreas , Altsitzioglou Pavlos , Tsukamoto Shinji , Errani Costantino
Published: February 2024

Biopsy is a pivotal component in the diagnostic process of bone and soft tissue tumors. The objective is to obtain adequate tissue without compromising local tumor dissemination and the patient’s survival. This review explores contemporary principles and practices in musculoskeletal biopsies, emphasizing the critical role of diagnostic accuracy while also delving into the evolving landscape of liquid biopsies as a promising alternative in the field. A thorough literature search was done in PubMed and Google Scholar as well as in physical books in libraries to summarize the available biopsy techniques for musculoskeletal tumors, discuss the available methods, risk factors, and complications, and to emphasize the challenges related to biopsies in oncology. Research articles that studied the basic principles and specialized techniques of biopsy techniques in tumor patients were deemed eligible. Their advantages and disadvantages, technical and pathophysiological mechanisms, and possible risks and complications were reviewed, summarized, and discussed. An inadequately executed biopsy may hinder diagnosis and subsequently impact treatment outcomes. All lesions should be approached with a presumption of malignancy until proven otherwise. Liquid biopsies have emerged as a potent non-invasive tool for analyzing tumor phenotype, progression, and drug resistance and guiding treatment decisions in bone sarcomas and metastases. Despite advancements, several barriers remain in biopsies, including challenges related to costs, scalability, reproducibility, and isolation methods. It is paramount that orthopedic oncologists work together with radiologists and pathologists to enhance diagnosis, patient outcomes, and healthcare costs.
Interventions to Mitigate Financial Toxicity in Adult Patients with Cancer in the United States: A Scoping Review
Authors: Villalona Seiichi , Castillo Brenda S. , Chavez Perez Carlos , Ferreira Alana , Nivar Isoris , Cisneros Juan , Guerra Carmen E.
Published: February 2024

Financial toxicity adversely affects quality of life and treatment outcomes for patients with cancer. This scoping review examined interventions aimed at mitigating financial toxicity in adult patients with cancer and their effectiveness. We utilized five bibliographical databases to identify studies that met our inclusion criteria. The review included studies conducted among adult patients with cancer in the United States and published in English between January 2011 to March 2023. The review identified eight studies that met the inclusion criteria. Each of the studies discussed the implementation of interventions at the patient/provider and/or health system level. Collectively, the findings from this scoping review highlight both the limited number of published studies that are aimed at mitigating financial toxicity and the need to create and assess interventions that directly impact financial toxicity in demographically diverse populations of adult patients with cancer.
Ablative or Surgical Treatment for Small Renal Masses (T1a): A Single-Center Comparison of Perioperative Morbidity and Complications
Authors: Radros Jari , Kjellman Anders , Henningsohn Lars , Forslin Yngve , Delle Martin , Hrebenyuk Marianna , Thor Anna , Thiel Tomas , Hermann Maria , Lundgren Per-Olof
Published: February 2024

The purpose of this study is to evaluate the treatment safety of thermal ablation compared to surgical treatment of T1a tumors (small renal masses) at a high-volume center. We conducted an observational single-center study based on data collected form the National Swedish Kidney Cancer Register (NSKCR) between 2015 and 2021. In total, 444 treatments of T1a tumors were included. Patients underwent surgery (partial or total nephrectomy) or ablative treatment—radiofrequency ablation (RFA) or microwave ablation (MWA). Patient characteristics were retrieved from patient records, and tumor complexity was estimated from pre-interventional CT scans. The odds ratio (OR) of suffering from a severe surgical complication following ablative treatment was estimated using a logistic regression model adjusted for age, BMI, ASA physical status classification, smoking status and RENAL nephrometry score. The frequency of severe surgical complications was 6.3% (16/256 treatments) after surgical intervention and 2.1% (4/188 treatments) following ablative treatment. Our primary hypothesis that ablative treatment is associated with a lower risk of severe surgical complications is supported by the results (OR 0.39; 0.19–0.79; p = 0.013). When adjusting for age, smoking status, ASA score, BMI score and RENAL nephrometry score, we see an even greater difference between the two groups (OR 0.34; 0.17–0.68; p = 0.002). Our study was limited by the differences in patient and tumor characteristics between the two compared groups and the study design. If oncological outcomes are found to be comparable, ablative treatment should be considered as a first-line treatment for all small renal masses.
How Elongated? The Pattern of Elongation of Cervical Centra of Elasmosaurus platyurus with Comments on Cervical Elongation Patterns among Plesiosauromorphs
Authors: O’Gorman José Patricio
Published: February 2024

Elasmosaurids comprise some of the most extreme morphotypes of plesiosaurs. Thus, the study of their neck and vertebrae elongation patterns plays a crucial role in understanding the anatomy of elasmosaurids. In this study, the taphonomic distortion of the holotype of Elasmosaurus platyurus and its effects on the vertebral length index (VLI) values are evaluated, and a new index to describe the neck is proposed (MAVLI = mean value of the vertebral elongation index of the anterior two-thirds of neck vertebrae). The results provide a strong foundation for a new scheme of neck elongation patterns that divide the diversity of the neck elongation of plesiosauriomorphs into three categories: not-elongate (MAVLI < 95 and Max VLI < 100), elongate (125 > MAVLI > 95 and 100 < Max VLI < 135), and extremely elongated (MAVLI > 125 and Max VLI > 135).
A Comparison between Crossbred (Holstein × Local Cattle) and Bangladeshi Local Cattle for Body and Milk Quality Traits
Authors: Saha Sudeb , Hasan Md. Nazmul , Uddin Md. Nazim , Rahman B. M. Masiur , Khan Mohammad Mehedi Hasan , Ahmed Syed Sayeem Uddin , Kitazawa Haruki
Published: February 2024

Crossbreeding in dairy cattle with exotic breeds continues to be an appealing practice to the dairy farmers of Bangladesh. However, there is limited knowledge regarding the impact of crossbreeding on both the physical attributes and milk quality traits of crossbred cattle in Bangladesh. Therefore, the primary objective of this study was to evaluate the impact of crossbreeding Bangladeshi local cattle with the exotic Holstein breed on their body characteristics and milk quality. To achieve the goal, data pertaining to body traits and milk samples were gathered from a total of 981 cows from 19 dairy farms located in the northwestern region of Bangladesh. A trained evaluator measured body condition score (BCS), udder score, locomotion score, and body conformation traits. Milk yield information was acquired from official records, while milk composition details were determined through milk analysis. Notably, crossbred cows (Holstein × Local cattle) exhibited greater values for wither height (141 vs. 135, cm), body length (157 vs. 153, cm), heart girth (211 vs. 204, cm), BCS (3.69 vs. 3.27), and udder score (3.29 vs. 2.08) than their Bangladeshi local counterparts. Furthermore, crossbred cows produced 42.4% and 35.3% more milk (10.89 vs. 7.65, kg/d) and fat-corrected milk (10.35 vs. 7.54, kg/d) than Bangladeshi local cattle. However, milk from crossbred cows displayed lower fat and protein content, although their somatic cell score (SCS) and energy-corrected milk remained similar. Additionally, milk from crossbred cows exhibited a longer coagulation time when compared to that of Bangladeshi local cattle. In conclusion, crossbred cows (Holstein × Local cattle) had improved body characteristics with greater milk yield than Bangladeshi local cattle; however, lower fat and protein contents in milk with longer coagulation time were noted.
Clinico-Radiological Outcomes in WNT-Subgroup Medulloblastoma
Authors: Mani Shakthivel , Chatterjee Abhishek , Dasgupta Archya , Shirsat Neelam , Pawar Akash , Epari Sridhar , Sahay Ayushi , Sahu Arpita , Moiyadi Aliasgar , Prasad Maya , Chinnaswamy Girish , Gupta Tejpal
Published: February 2024

Medulloblastoma (MB) comprises four broad molecular subgroups, namely wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4, respectively, with subgroup-specific developmental origins, unique genetic profiles, distinct clinico-demographic characteristics, and diverse clinical outcomes. This is a retrospective audit of clinical outcomes in molecularly confirmed WNT-MB patients treated with maximal safe resection followed by postoperative standard-of-care risk-stratified adjuvant radio(chemo)therapy at a tertiary-care comprehensive cancer centre. Of the 74 WNT-MB patients registered in a neuro-oncology unit between 2004 to 2020, 7 patients accrued on a prospective clinical trial of treatment deintensification were excluded, leaving 67 patients that constitute the present study cohort. The median age at presentation was 12 years, with a male preponderance (2:1). The survival analysis was restricted to 61 patients and excluded 6 patients (1 postoperative mortality plus 5 without adequate details of treatment or outcomes). At a median follow-up of 72 months, Kaplan–Meier estimates of 5-year progression-free survival and overall survival were 87.7% and 91.2%, respectively. Traditional high-risk features, large residual tumour (≥1.5 cm2), and leptomeningeal metastases (M+) did not significantly impact upon survival in this molecularly characterized WNT-MB cohort treated with risk-stratified contemporary multimodality therapy. The lack of a prognostic impact of conventional high-risk features suggests the need for refined risk stratification and potential deintensification of therapy.
Self-Inflicted Laser-Induced Retinopathy
Authors: Gregori Ninel Z. , Cai Louis , Moshiri Yasman
Published: February 2024

This photo essay details a patient with self-inflicted laser-induced retinal injury progressing to full-thickness macular holes in both eyes. A 40-year-old patient presented after a self-inflicted injury by a handheld class 3 blue laser (450 nm) he purchased on the internet. The patient reported shining the laser through a window, which reflected the beam back into his eyes. Visual acuity was measured at 20/400 in both eyes. The initial fundus photographs revealed vitreous and preretinal hemorrhages in the right eye, and multiple yellow-white fresh laser burns in the macula of the left eye. Optical coherence tomography (OCT) showed preretinal hemorrhage in the right eye and retinal disruption with preretinal hyper-reflective lesion in the left eye. After one month, his vision deteriorated to finger counting in each eye. He developed a full-thickness macular hole and hyperfluorescent curvilinear streaks in the superior maculae in both eyes. OCT images showed retinal pigment epithelium clumping and outer retinal atrophy in curvilinear streak areas in both eyes, which point to self-inflicted injury. This case illustrates laser-pointer-induced retinopathy and reinforces the necessity of public education on the dangers of utilizing handheld lasers without eye protection.
Periodic Leg Movements during Sleep Associated with REM Sleep Behavior Disorder: A Machine Learning Study
Authors: Salsone Maria , Vescio Basilio , Quattrone Andrea , Marelli Sara , Castelnuovo Alessandra , Casoni Francesca , Quattrone Aldo , Ferini-Strambi Luigi
Published: February 2024

Most patients with idiopathic REM sleep behavior disorder (iRBD) present peculiar repetitive leg jerks during sleep in their clinical spectrum, called periodic leg movements (PLMS). The clinical differentiation of iRBD patients with and without PLMS is challenging, without polysomnographic confirmation. The aim of this study is to develop a new Machine Learning (ML) approach to distinguish between iRBD phenotypes. Heart rate variability (HRV) data were acquired from forty-two consecutive iRBD patients (23 with PLMS and 19 without PLMS). All participants underwent video-polysomnography to confirm the clinical diagnosis. ML models based on Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) were trained on HRV data, and classification performances were assessed using Leave-One-Out cross-validation. No significant clinical differences emerged between the two groups. The RF model showed the best performance in differentiating between iRBD phenotypes with excellent accuracy (86%), sensitivity (96%), and specificity (74%); SVM and XGBoost had good accuracy (81% and 78%, respectively), sensitivity (83% for both), and specificity (79% and 72%, respectively). In contrast, LR had low performances (accuracy 71%). Our results demonstrate that ML algorithms accurately differentiate iRBD patients from those without PLMS, encouraging the use of Artificial Intelligence to support the diagnosis of clinically indistinguishable iRBD phenotypes.
Systematic Review of Diagnostic Approaches for Human Giardiasis: Unveiling Optimal Strategies
Authors: Vicente Bruno , Freitas Anna De , Freitas Marcus , Midlej Victor
Published: February 2024

Giardiasis, caused by the protozoan Giardia intestinalis, affects around 400 million people worldwide, emphasizing the critical need for accurate diagnosis to enhance human health, especially in children. Prolonged giardiasis in childhood can lead to intellectual deficits and other complications. A variety of diagnostic tools, including microscopic, immunological, and molecular methods, are available for detecting G. intestinalis infection. Choosing the most suitable method can be challenging due to the abundance of options. This systematic review assesses the reliability and applicability of these diagnostic modalities. Utilizing the Dimensions and Wordart platforms for data analysis, we focus on relevant literature addressing diagnostic methods for human giardiasis. Microscopic techniques, particularly Ritchie’s method, emerge as the primary choice, followed by enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR). PCR’s limited use is attributed to its high cost and infrastructure challenges in developing nations. In conclusion, our analysis supports microscopic methods as the gold standard for giardiasis diagnosis. However, in cases where symptoms persist despite a negative diagnosis, employing more sensitive diagnostic approaches is advisable.
Agreement between Fetal Brain Ultrasonography and Magnetic Resonance Imaging in the Measurements of the Corpus Callosum and Transverse Cerebellar Diameter
Authors: Bookstein Shai , Nachmias Noy , Katorza Eldad
Published: February 2024

As the use of magnetic resonance imaging of the fetal brain has evolved, the need to understand its efficiency in the biometry of the fetal brain has broadened. This study aimed to assess the level of agreement and correlation between the two cardinal imaging methods of fetal neuroimaging, ultrasonography (US) and magnetic resonance imaging (MRI), by measuring the corpus callosum (CC) and transverse cerebellar diameter (TCD) in terms of length and percentile. Measurements of CC and TCD length and percentile were documented over a 7-year span in a tertiary referral medical center. All US and MRI examinations were performed in the customary planes and subcategorized by valid reference charts. Exclusion and inclusion criteria were set before the collection and processing of the data. A total of 156 fetuses out of 483 were included in the study. A positive, strong correlation and agreement were found (r = 0.78; ICC = 0.76) between US and MRI in TCD measurements. For CC length measurement, a moderate correlation and moderate agreement (r = 0.51; ICC = 0.49) between US and MRI was observed. TCD and CC percentiles had lower levels of correlation and agreement compared with the length variables. Our study indicates good agreement between MRI and US in the assessment of TCD measurement as a part of antenatal neuroimaging. Furthermore, while the two techniques are not always compatible, they are complementary methods.
Impact of Epicardial Adipose Tissue on Infarct Size and Left Ventricular Systolic Function in Patients with Anterior ST-Segment Elevation Myocardial Infarction
Authors: Gavara Jose , Merenciano-Gonzalez Hector , Llopis-Lorente Jordi , Molina-Garcia Tamara , Perez-Solé Nerea , de Dios Elena , Marcos-Garces Víctor , Monmeneu Jose V. , Lopez-Lereu Maria P. , Canoves Joaquim , Bonanad Clara , Moratal David , Núñez Julio , Bayés-Genis Antoni , Sanchis Juan , Chorro Francisco J. , Rios-Navarro Cesar , Bodí Vicente
Published: February 2024

We aimed to assess the correlation of cardiovascular magnetic resonance (CMR)-derived epicardial adipose tissue (EAT) with infarct size (IS) and residual systolic function in ST-segment elevation myocardial infarction (STEMI). We enrolled patients discharged for a first anterior reperfused STEMI submitted to undergo CMR. EAT, left ventricular (LV) ejection fraction (LVEF), and IS were quantified at the 1-week (n = 221) and at 6-month CMR (n = 167). At 1-week CMR, mean EAT was 31 ± 13 mL/m2. Patients with high EAT volume (n = 72) showed larger 1-week IS. After adjustment, EAT extent was independently related to 1-week IS. In patients with large IS at 1 week (>30% of LV mass, n = 88), those with high EAT showed more preserved 6-month LVEF. This association persisted after adjustment and in a 1:1 propensity score-matched patient subset. Overall, EAT decreased at 6 months. In patients with large IS, a greater reduction of EAT was associated with more preserved 6-month LVEF. In STEMI, a higher presence of EAT was associated with a larger IS. Nevertheless, in patients with large infarctions, high EAT and greater subsequent EAT reduction were linked to more preserved LVEF in the chronic phase. This dual and paradoxical effect of EAT fuels the need for further research in this field.
Comparison of Reduced PCR Volume PowerPlex Fusion 6C Kit Validations on Manual and Automated Systems
Authors: Lőrincz Eszter É. , Mátrai Norbert , Rádóczy Katalin A. , Cseppentő Tamás , Magonyi Nóra M. , Heinrich Attila
Published: February 2024

The PowerPlex Fusion 6C PCR™ amplification kit provides a strong discriminatory power for human identification. We have validated the kit with a reduced volume (12.5 µL) and as part of the validation we compared the efficiency of the polymerase chain reaction (PCR) prepared manually and on Hamilton Microlab® Autolys STAR Biorobot. Three years of casework data has been also included in the validation. Optimisation was carried out on different types of samples (blood, saliva, semen) and DNA was extracted robotically. Tests were conducted at two different cycle numbers (30;32), followed by analysis on both the Applied BiosystemsTM 3500 and 3500 xL Genetic Analyzer instruments (Applied Biosystems®, Foster City, CA, USA). When the PCR was prepared manually, no allele dropout was observed over 0.15 ng input DNA. Whereas when the PCR was prepared robotically, dropout already appeared at the level of 0.15 ng input DNA. In cases when increased cycle number was utilised, an increasing number of dropouts started to arise from 0.075 ng total input DNA. Despite the fact that robotically prepared PCR produced more missing alleles than the manually prepared PCR, using the optimal 0.5 ng input DNA, both methods proved to be reliable. Based on the results, our half-volume protocol is robust, and after three years of application it has proven to be effective with respect to a large number of casework samples.
Hidden Tensor Structures
Authors: Czachor Marek
Published: February 2024

Any single system whose space of states is given by a separable Hilbert space is automatically equipped with infinitely many hidden tensor-like structures. This includes all quantum mechanical systems as well as classical field theories and classical signal analysis. Accordingly, systems as simple as a single one-dimensional harmonic oscillator, an infinite potential well, or a classical finite-amplitude signal of finite duration can be decomposed into an arbitrary number of subsystems. The resulting structure is rich enough to enable quantum computation, violation of Bell’s inequalities, and formulation of universal quantum gates. Less standard quantum applications involve a distinction between position and hidden position. The hidden position can be accompanied by a hidden spin, even if the particle is spinless. Hidden degrees of freedom are, in many respects, analogous to modular variables. Moreover, it is shown that these hidden structures are at the roots of some well-known theoretical constructions, such as the Brandt–Greenberg multi-boson representation of creation–annihilation operators, intensively investigated in the context of higher-order or fractional-order squeezing. In the context of classical signal analysis, the discussed structures explain why it is possible to emulate a quantum computer by classical analog circuit devices.
Undergraduate Students’ Engagement in Project-Based Learning with an Authentic Context
Authors: Chang Yunjeong , Choi Jasmine , Şen-Akbulut Mutlu
Published: February 2024

Despite the widespread adoption of project-based learning in higher education, few empirical studies have explored its impact on situating learners within real-world contexts and enhancing student engagement. This study situates undergraduates in a technology integration course in an authentic context to increase the levels of engagement of the students. The project, requested by real-world clients from an elementary school, enabled students to develop learning resources around topics in need that aligned with state standards. We expected students engaged with real-world clients to demonstrate higher levels of behavioral, cognitive, and emotional engagement compared to those involved in non-real-world context projects. The results of our mixed-methods research revealed increased student engagement with an authentic, real-world context compared to a non-real-world context. The integration of real-world context not only heightened student involvement in the project and strengthened group dynamics but also facilitated a deeper understanding of technology integration and service learning. Implications for future research are also discussed.
Melanoma Skin Cancer Identification with Explainability Utilizing Mask Guided Technique
Authors: Gamage Lahiru , Isuranga Uditha , Meedeniya Dulani , De Silva Senuri , Yogarajah Pratheepan
Published: February 2024

Melanoma is a highly prevalent and lethal form of skin cancer, which has a significant impact globally. The chances of recovery for melanoma patients substantially improve with early detection. Currently, deep learning (DL) methods are gaining popularity in assisting with the identification of diseases using medical imaging. The paper introduces a computational model for classifying melanoma skin cancer images using convolutional neural networks (CNNs) and vision transformers (ViT) with the HAM10000 dataset. Both approaches utilize mask-guided techniques, employing a specialized U2-Net segmentation module to generate masks. The CNN-based approach utilizes ResNet50, VGG16, and Xception with transfer learning. The training process is enhanced using a Bayesian hyperparameter tuner. Moreover, this study applies gradient-weighted class activation mapping (Grad-CAM) and Grad-CAM++ to generate heatmaps to explain the classification models. These visual heatmaps elucidate the contribution of each input region to the classification outcome. The CNN-based model approach achieved the highest accuracy at 98.37% in the Xception model with a sensitivity and specificity of 95.92% and 99.01%, respectively. The ViT-based model approach achieved high values for accuracy, sensitivity, and specificity, such as 92.79%, 91.09%, and 93.54%, respectively. Furthermore, the performance of the model was assessed through intersection over union (IOU) and other qualitative evaluations. Finally, we developed the proposed model as a web application that can be used as a support tool for medical practitioners in real-time. The system usability study score of 86.87% is reported, which shows the usefulness of the proposed solution.
Mitigating WL-to-WL Disturbance in Dynamic Random-Access Memory (DRAM) through Adopted Spherical Shallow Trench Isolation with Silicon Nitride Layer in the Buried Channel Array Transistor (BCAT)
Authors: Kim Yeon-Seok , Lim Chang-Young , Kwon Min-Woo
Published: February 2024

The Pass Gate Effect (PGE), often referred to as adjacent cell interference, presents a significant challenge in dynamic random-access memory (DRAM). In this study, we investigate the impact of PGE and propose innovative solutions to address this issue in DRAM technology, employing 10 nm node technology with buried channel array transistors. To evaluate the efficacy of our proposals, we utilized SILVACO for simulating various DRAM configurations. Our approach centers on two key structural optimizations: the introduction of a spherical Shallow Trench Isolation (STI) and the incorporation of a silicon nitride (Si3N4) layer within the spherical STI structure. These optimizations were meticulously designed to mitigate the PGE by considering several factors that are highly influential in its manifestation. To validate our approach, we conducted comprehensive simulations, comparing the PGE factors of typical DRAM structures with those of our proposed configurations. The results of our analysis strongly support the effectiveness of our proposed structural enhancements in alleviating the PGE when contrasted with conventional DRAM structures. Remarkably, our optimizations achieved a remarkable 82.4% reduction in the PGE, marking a significant breakthrough in the field of DRAM technology. By addressing the PGE challenge and substantially reducing its impact, our research contributes to the advancement of DRAM technology, offering practical solutions to enhance data integrity and reliability in the era of 10 nm node DRAM.
Adaptive Trajectories’ Constant False Alarm Rate Mirror Filters and Elevation Angle Evaluation for Multiple-Input Multiple-Output Radar-Based Hand Gesture Recognition
Authors: Tseng Tzu-Jung , Ding Jian-Jiun
Published: February 2024

Gesture recognition technology has been quickly developed in the field of human–computer interaction. The multiple-input multiple-output (MIMO) radar is popular in gesture recognition because of its notable spatial resolution. This work proposes a MIMO radar-based hand gesture recognition algorithm with low complexity. We leverage low-complexity adaptive signal processing to extract trajectory information and minimize noise to create a system that can be applied in real-world applications with small training datasets. First, a spectrum analysis is utilized on range-Doppler maps (RDMs), and a cell-averaging constant false alarm rate (CA-CFAR) with mirror filters is applied to improve the robustness of noise. Then, the features related to the distance, speed, direction, and elevation angle of the moving object are determined using the proposed adaptive signal analysis techniques. For classification, the random forest algorithm is implemented. The proposed system can precisely distinguish and identify eight gestures, including waving, moving to the left or right, patting, pushing, pulling, and rotating clockwise or anti-clockwise, with an accuracy of 95%. Experiments demonstrate the capability of the proposed hand gesture recognition system to classify different movements precisely.
Investigations of Flow Boiling in Mini-Channels: Heat Transfer Calculations with Temperature Uncertainty Analyses
Authors: Piasecka Magdalena , Maciejewska Beata , Michalski Dariusz , Dadas Norbert , Piasecki Artur
Published: February 2024

The article aims to explore boiling heat transfer in mini-channels with a rectangular cross-section using various fluids (HFE-649, HFE-7000, HFE-7100, and HFE-7200). Temperature measurements were conducted using infrared thermography for the heated wall and K-type thermocouples for the working fluid. The 2D mathematical model for heat transfer in the test section was proposed. Local heat transfer coefficients between the heated wall and the working fluid were determined from the Robin condition. The problem was solved by means of the finite element method (FEM) with Trefftz functions. The values of the heat transfer coefficient that were obtained were compared with the results calculated from Newton’s law of cooling. The average relative differences between the obtained results did not exceed 4%. The study included uncertainty analyses for temperature measurements with K- and T-type thermocouples. Expanded uncertainties were calculated using the uncertainty propagation and Monte Carlo methods. Precisely determining the uncertainties in contact temperature measurements is crucial to ensure accurate temperature data for subsequent heat transfer calculations. The results of the heat transfer investigations were compared in terms of fluid temperature, heat transfer coefficients, and boiling curves. HFE-7200 consistently exhibited the highest fluid temperature and temperature differences at boiling incipience, while HFE-7000 demonstrated the highest heat transfer coefficients. HFE-649 showed the lowest heat transfer coefficients. The boiling curves exhibited a typical shape, with a notable occurrence of ‘nucleation hysteresis phenomena’. Upon the analysis of two-phase flow patterns, bubbly and bubbly-slug structures were observed.
NIR Spectroscopy as an Alternative to Thermogravimetric Analyzer for Biomass Proximate Analysis: Comparison of Chip and Ground Biomass Models
Authors: Shrestha Bijendra , Posom Jetsada , Sirisomboon Panmanas , Shrestha Bim Prasad , Pornchaloempong Pimpen , Funke Axel
Published: February 2024

This study investigates the non-destructive analysis of proximate parameters (moisture content, MC; volatile matter, VM; fixed carbon, FC; ash content) in various chipped and ground biomass using a combination of destructive thermogravimetric analysis (TGA) and non-destructive near-infrared spectroscopy (NIRS) with partial least squares regression (PLSR). The thermogravimetric method determines proximate analysis data through TG and DTG curves, tracking biomass mass loss over time or temperature. NIRS scans chipped biomass in diffuse reflectance, and ground biomass in transflectance mode, covering the wavenumber range from 3595 to 12,489 cm−1. PLSR-based models (Full-PLSR, GA-PLSR, SPA-PLSR, MP PLSR 5-range method, and MP PLSR 3-range method) are developed and evaluated based on R2P, RMSEP, and RPD. MC and FC models for chip biomass exhibit satisfactory performance, making them cautiously applicable in various applications, including research. Optimal models for MC and FC in chip biomass, constructed using GA-PLSR with the second derivative and Full-PLSR with a constant offset, yield high R2P values (0.8654 and 0.8773), low RMSEP values (0.85% and 2.12%), and high RPD values (2.9 and 3.0), indicating applicative capabilities. Other parameters such as MC and FC in ground biomass, as well as VM and ash content in both chip and ground biomass, are found suitable for rough screening. Model sensitivity, assessed by calculating LOQ, indicates high sensitivity for VM in both chip and ground biomass and FC in chip biomass, as the calculated LOQ value is lower than the minimum reference values used during model development. However, for the remaining parameters, LOQ values surpass the established minimum reference value, suggesting limitations in predicting samples below the calibration range. Continuous model enhancement incorporating an ample number of representative biomass samples and consistent validation with unknown samples are imperative for ensuring accurate predictions.
Oblique Aerial Images: Geometric Principles, Relationships and Definitions
Authors: Verykokou Styliani , Ioannidis Charalabos
Published: February 2024

Aerial images captured with the camera optical axis deliberately inclined with respect to the vertical are defined as oblique aerial images. Throughout the evolution of aerial photography, oblique aerial images have held a prominent place since its inception. While vertical airborne images dominated in photogrammetric applications for over a century, the advancements in photogrammetry and computer vision algorithms, coupled with the growing accessibility of oblique images in the market, have propelled the rise of oblique images in recent times. Their emergence is attributed to inherent advantages they offer over vertical images. In this entry, basic definitions, geometric principles and relationships for oblique aerial images, necessary for understanding their underlying geometry, are presented.
Genomic Surveillance of SARS-CoV-2: Data Analysis and Assessment of Tunisian Strategy from January 2021 to February 2022
Authors: Neffati Arwa , Safer Mouna , Kalai Wissal , Hechaichi Aicha , Dhaouadi Sonia , Letaief Hajer , Aichouch Chaima , Bouabid Leila , Darouiche Sondes , El Mili Nawel , Triki Henda , Boutiba Ilhem , Mastouri Maha , Berrajah Lamia Fki , Bouafif Ben Alaya Nissaf
Published: February 2024

Due to the emergence of the SARS-CoV-2 B.1.1.7 (Alpha) variant in the UK in 2020 and its risk of increased transmission, the Ministry of Health in Tunisia implemented a sequencing surveillance strategy for SARS-CoV-2. The aim of this study was to analyze SARS-CoV-2 genomic surveillance data in Tunisia (January 2021–February 2022) and to assess the implementation of the sequencing strategy for SARS-CoV-2 in accordance with national recommendations and the guidance for SARS-CoV-2 genomic surveillance for public health goals. A descriptive study of all sequenced RT-PCR samples sequenced (January 2021–February2022). An internal audit was also done to assess the compliance against standards covering national recommendations and the Guidance for SARS-CoV-2 genomic surveillance for public health goals. A total of 12 simple or composite requirements related to the following areas were included in the audit standards: sampling (one requirements); data collection/analysis (six requirements); partnership (one requirement); and ethical considerations (one requirement). A total of 4819 samples were sent to laboratories and 4278 samples were sequenced. A total of 3648 samples were classified. Positive variants of concern (VOC) samples were 80.92%, differentiated as follows: Alpha, 40.24%; Beta, 0.24%; Gamma, 0.03%; Delta, 45.26%; and Omicron, 14.19%. Three principal phases of VOCs per ISO-week were shown: Alpha 3/2021–25/2021; Delta 26/2021–2/2022; and Omicron 3/2022–6/2022. Levels of compliance were identified; from a total of 12 requirements, 7 were considered as “not met”, 4 as “partially met”, and 1 as “fully met” but including not totally achieved objectives. In conclusion, the internal audit of the national SARS-CoV-2 sequencing strategy revealed an overall “not met” level of compliance. The results offered a trigger to collaborate with all stakeholders to develop a surveillance strategy for early detection and response to outbreaks caused by VOCs.
Plant-Based Oil-in-Water Food Emulsions: Exploring the Influence of Different Formulations on Their Physicochemical Properties
Authors: Quezada Carolina , Urra Matías , Mella Camila , Zúñiga Rommy N. , Troncoso Elizabeth
Published: February 2024

The global focus on incorporating natural ingredients into the diet for health improvement encompasses ω-3 polyunsaturated fatty acids (PUFAs) derived from plant sources, such as flaxseed oil. ω-3 PUFAs are susceptible to oxidation, but oil-in-water (O/W) emulsions can serve to protect PUFAs from this phenomenon. This study aimed to create O/W emulsions using flaxseed oil and either soy lecithin or Quillaja saponins, thickened with modified starch, while assessing their physical properties (oil droplet size, ζ-potential, and rheology) and physical stability. Emulsions with different oil concentrations (25% and 30% w/w) and oil-to-surfactant ratio (5:1 and 10:1) were fabricated using high-pressure homogenization (800 bar, five cycles). Moreover, emulsions were thickened with modified starch and their rheological properties were measured. The physical stability of all emulsions was assessed over a 7-day storage period using the TSI (Turbiscan Stability Index). Saponin-stabilized emulsions exhibited smaller droplet diameters (0.11–0.19 µm) compared to lecithin (0.40–1.30 µm), and an increase in surfactant concentration led to a reduction in droplet diameter. Both surfactants generated droplets with a high negative charge (−63 to −72 mV), but lecithin-stabilized emulsions showed greater negative charge, resulting in more intense electrostatic repulsion. Saponin-stabilized emulsions showed higher apparent viscosity (3.9–11.6 mPa·s) when compared to lecithin-stabilized ones (1.19–4.36 mPa·s). The addition of starch significantly increased the apparent viscosity of saponin-stabilized emulsions, rising from 11.6 mPa s to 2117 mPa s. Emulsions stabilized by saponin exhibited higher stability than those stabilized by lecithin. This study confirms that plant-based ingredients, particularly saponins and lecithin, effectively produce stable O/W emulsions with flaxseed oil, offering opportunities for creating natural ingredient-based food emulsions.
Lipid-Lowering and Antioxidant Effects of Self-Assembled Astaxanthin–Anthocyanin Nanoparticles on High-Fat Caenorhabditis elegans
Authors: Yu Deyang , Guo Meng , Tan Mingqian , Su Wentao
Published: February 2024

Obesity has become a serious global public health risk threatening millions of people. In this study, the astaxanthin–anthocyanin nanoparticles (AXT-ACN NPs) were used to investigate their effects on the lipid accumulation and antioxidative capacity of the high-sugar-diet-induced high-fat Caenorhabditis elegans (C. elegans). It can be found that the lifespan, motility, and reproductive capacity of the high-fat C. elegans were significantly decreased compared to the normal nematodes in the control group. However, treatment of high-fat C. elegans with AXT-ACN NPs resulted in a prolonged lifespan of 35 days, improved motility, and a 22.06% increase in total spawn production of the nematodes. Furthermore, AXT-ACN NPs were found to effectively extend the lifespan of high-fat C. elegans under heat and oxidative stress conditions. Oil-red O staining results also demonstrated that AXT-ACN NPs have a remarkable effect on reducing the fat accumulation in nematodes, compared with pure astaxanthin and anthocyanin nanoparticles. Additionally, AXT-ACN NPs can significantly decrease the accumulation of lipofuscin and the level of reactive oxygen species (ROS). The activities of antioxidant-related enzymes in nematodes were further measured, which revealed that the AXT-ACN NPs could increase the activities of catalase (CAT), superoxidase dismutase (SOD), and glutathione peroxidase (GSH-Px), and decrease the malondialdehyde (MDA) content. The astaxanthin and anthocyanin in AXT-ACN NPs showed sound synergistic antioxidation and lipid-lowering effects, making them potential components in functional foods.