bluuebunny/crossref_metadata_2025 huggingface dataset:
Perceived Supervisor Support and Academic Procrastination in Postgraduate Students: Roles of Basic Psychological Needs Satisfaction and Learning Engagement
Authors: Wang Lumeng , Wang Guoxia
Published: October 2024

Academic procrastination is a common problem among postgraduate students, one that has caused negative consequences that cannot be ignored. Therefore, finding out how to effectively eliminate academic procrastination behavior has become an essential task in educational practice. Based on the use of Self-Determination Theory (SDT) to explore the relationship between the perceived supervisor support and academic procrastination of postgraduate students, a total of 448 questionnaires were gathered from postgraduate students across China. The results showed significant correlations between the perceived supervisor support, basic psychological needs satisfaction, learning engagement, and academic procrastination of postgraduate students. The relationship between the perceived supervisor support and academic procrastination of postgraduate students was mediated by basic psychological needs satisfaction and learning engagement. Additionally, basic psychological needs satisfaction and learning engagement played a chain-mediating role between the perceived supervisor support and academic procrastination of postgraduate students. The findings of this study contributed to the enhancement of the interaction between supervisors and students in higher education and improving the quality of postgraduate education.
Geopolymers for Space Applications Part II: Synthesis and Physical Characterization
Authors: Mendoza-Cachú David , López-Martínez Aldo Augusto , Franco-Urquiza Edgar A.
Published: October 2024

This Technical Note presents the continuation of the results regarding the synthesis, and physical and rheological evaluation of geopolymers for space applications. In the first part, the ability of these geopolymers to resist cosmic radiation was evaluated. This second part of the research aims to present the synthesis of the geopolymers, their physical and rheological evaluation, and the fabrication of panels for placement in nanosatellites and deployer systems. Manufacturing the 2 mm-thick geopolymer panel proved to be quite a challenge due to the nature of geopolymers. Three geopolymer formulations MKG-01, MKG-02, and MKG-03 were synthesized with an adequate balance of fluidity and malleability required to manufacture the panels. The formulations offered an open window of approximately 8 h. The mass loss in the formulations was closely related to the solid/liquid ratio of the formulation. The MKG-01 presented lower viscosity and low shear stress for handling, indicating a more homogeneous dispersion than the more viscous samples MKG-02 and MKG-03.
Exploring Salivary Alpha-Amylase as a Biomarker in Periodontitis: A Comparative Analysis of Disease Stages and Clinical Correlations
Authors: Hashim Nada Tawfig , Fathima Sadiah , Hisham Nurain Mohammad , Shivappa Pooja , Magaogao Michael V. , Islam Md Sofiqul , Ahmed Sara Faisal , Babiker Rasha , Rahman Muhammed Mustahsen
Published: October 2024

Periodontal disease, characterized by bacterial plaque accumulation and subsequent immune response, can lead to gingivitis and periodontitis if untreated. Salivary alpha-amylase (sAA) has emerged as a potential biomarker with implications in periodontal disease progression. Objectives: This study aimed to assess and compare salivary alpha-amylase levels in individuals with periodontitis and healthy controls and to investigate its relationship with clinical parameters of periodontal disease. Forty-five participants were categorized into periodontally healthy (n = 13), Stage I and II Periodontitis (n = 17), and Stage III and IV periodontitis (n = 15) groups. Saliva samples were collected and analyzed using ELISA kits. Statistical analyses included tests for normality, group comparisons, post hoc analysis, and correlation analysis. Significant differences in salivary alpha-amylase levels were observed among severity groups (p < 0.05), with higher levels in periodontitis patients than healthy controls. Spearman correlation revealed moderate positive associations between alpha-amylase levels and probing depth (PD) and clinical attachment loss (CAL). Elevated salivary alpha-amylase levels were found to be associated with more severe periodontal disease, suggesting its potential as a biomarker for periodontitis severity. These findings support the utility of salivary biomarkers in periodontal disease diagnosis and monitoring, although further validation and standardization are warranted for clinical application.
Energy Advantages and Thermodynamic Performance of Scheffler Receivers as Thermal Sources for Solar Thermal Power Generation
Authors: Iodice Paolo , Amoresano Amedeo , Langella Giuseppe , Marra Francesco Saverio
Published: October 2024

This article examines the prospects of Scheffler solar receivers integrated into renewable energy power plants for civil applications. This kind of solar receiver can offer satisfactory energetic performance with acceptable energy conversion efficiency when compared to other technologies to harness solar energy since the high-quality focal receiver can reduce heat losses also supposing great levels of evaporation temperature. In this research, energetic optimization and a broad assessment of Scheffler-type solar receivers are thoroughly conducted for variable sun radiation and considering a broad range of working conditions. To achieve this goal, thermodynamic optimization of the chief factors was attained via a numerical model which calculated the energy efficiency of the Scheffler solar receiver at part-load working conditions by computing all energy losses negatively affecting the heat exchange phase in the cavity receiver. The results obtained in this study show that the solar collector efficiencies of Scheffler receivers appear more promising than that of usual parabolic trough collectors; moreover, Scheffler receivers persisted with less sensitivity to reductions in solar radiation intensity. For these reasons, solar power systems based on Scheffler-type systems can be used from tens to hundreds of kW to ensure the energetic supply of small urban settlements with acceptable efficiency, optimistic investments, simple construction and reduced overall sizes.
Low-Frequency Electrical Heating for In Situ Conversion of Shale Oil: Modeling Thermal Dynamics and Decomposition
Authors: Zhang Zhaobin , Xie Zhuoran , Montilla Maryelin Josefina Briceño , Li Shouding , Li Xiao
Published: October 2024

In situ conversion presents a viable strategy for exploiting low to moderate maturity shale oil. Traditional methods, however, require dense well patterns and substantial energy, which are major hurdles. This study introduces a novel approach employing low-frequency electrical heating via production wells to enhance heat transfer without necessitating additional heating wells. Utilizing a self-developed simulator, we developed a numerical model to evaluate the efficacy of this method in augmenting reservoir temperature and facilitating substance decomposition. Findings indicate that low-frequency electrical heating significantly elevates reservoir temperatures, accelerates hydrocarbon cracking, and boosts fluid production. A sensitivity analysis on various heating strategies and reservoir characteristics showed that elevated heating power can further pyrolyze the heavy oil in the product to light oil, while higher porosity formations favor increased oil and gas output. The study also explores the effect of thermal conductivity on heating efficiency, suggesting that while better conductivity improves heat distribution, it may increase the proportion of heavy oils in the output. Overall, this investigation offers a theoretical foundation for refining in situ conversion technologies in shale oil extraction, enhancing both energy efficiency and production quality.
Conservation Agendas and the Denial of History. Reply to Penna, I. and Feller, M.C. Comments on “Laming et al. The Curse of Conservation: Empirical Evidence Demonstrating That Changes in Land-Use Legislation Drove Catastrophic Bushfires in Southeast Australia. Fire 2022, 5, 175”
Authors: Fletcher Michael-Shawn , Romano Anthony , Connor Simon , Laming Alice , Maezumi S. Yoshi , Mariani Michela , Mullett Russell , Gadd Patricia S.
Published: October 2024

This is a reply to the comments of Penna [...]
Bone Disease in Primary Hyperparathyroidism—Changes Occurring in Bone Metabolism and New Potential Treatment Strategies
Authors: Iwanowska Mirella , Kochman Magdalena , Szatko Alicja , Zgliczyński Wojciech , Glinicki Piotr
Published: October 2024

Primary hyperparathyroidism (PHPT) is a common endocrinopathy, predominantly caused by a single parathyroid adenoma that is responsible for the excessive secretion of parathyroid hormone (PTH)—the hallmark of disease. Excess of this hormone causes remarkable changes in bone metabolism, including an increased level of bone remodeling with a predominance of bone resorption. Those changes lead to deterioration of bone structure and density, especially in cortical bone. The main treatment for PHPT is surgical removal of the adenoma, which normalizes PTH levels and terminates the progression of bone disease and leads to its regeneration. However, because not all the patients are suitable candidates for surgery, alternative therapies are needed. Current non-surgical treatments targeting bone disease secondary to PHPT include bisphosphonates and denosumab. Those antiresorptives prevent further bone loss, but they lack the ability to regenerate already degraded bone. There is ongoing research to find targeted drugs capable of halting resorption alongside stimulating bone formation. This review presents the advancements in understanding the molecular mechanisms responsible for bone disease in PHPT and assesses the efficacy of new potential therapeutic approaches (e.g., allosteric inhibitors of the PTH receptor, V-ATPase, or cathepsin inhibitors) aimed at mitigating bone loss and enhancing bone regeneration in affected patients.
Comparison of Physical Activity and Sedentary Behaviour Patterns by Sex, Geographical Location, and Time of the Week in Mexican Adolescents
Authors: Jáuregui-Ulloa Edtna , Ortiz-Brunel Julissa , Gaytan-Gonzalez Alejandro , Soria-Rodríguez Raúl , Pérez-Maravilla José Marcos , González-Villalobos Martín Francisco , Salvo Deborah , Warburton Darren E. R. , López-Taylor Juan Ricardo
Published: October 2024

Background: Excess sedentary behaviour (SB) and insufficient physical activity have been identified as risk factors for cardiometabolic diseases in adolescents, and some factors may affect how much time they spend on these activities. This study sought to compare the SB and PA patterns as well as compliance with PA recommendations by sex, geographical location, and time of the week in Mexican adolescents. Methods: In a cross-sectional design, we objectively assessed SB and PA in 106 adolescents (15 to 18 y) through waist-worn accelerometers for one week. The time spent in SB and in PA at different intensities was compared by sex, geographical location and time of the week with two-way and three-way repeated measures MANOVAs, while the compliance with physical activity recommendations (i.e., ≥60 min/day) was compared using chi-squared and McNemar tests. Results: Male participants spent more time in moderate, vigorous, and moderate to vigorous PA than females both during the whole week and on weekdays (all p < 0.05). There was no significant difference in SB nor PA by geographical location (i.e., metropolitan vs. non-metropolitan areas). Moreover, all participants spent more time on moderate, vigorous, and moderate to vigorous PA on weekdays than on weekends (p < 0.05). Compliance with international PA recommendations also showed a sex difference (males > females) and change between weekdays and weekends with no difference by geographical location. Conclusions: While geographical location does not seem to be a relevant factor, sex and time of the week appear to influence the SB and PA patterns in Mexican adolescents.
Impact of the COVID-19 Pandemic on Diabetic Ketoacidosis Patients Treated in a Pediatric Intensive Care Unit: A Single-Center Cross-Sectional Study
Authors: Perak Eva , Mrcela Dina , Markic Josko
Published: October 2024

Background and Objectives: Diabetic ketoacidosis (DKA) is a common complication of type 1 diabetes mellitus (T1DM) in children. Here, we explored the impact of the coronavirus disease 2019 (COVID-19) pandemic on the occurrence and severity of DKA in children in southern Croatia. Materials and Methods: The demographics and clinical and laboratory findings of all children and adolescents aged 0–18 years diagnosed with DKA and admitted to the pediatric intensive care unit (PICU) of the University Hospital of Split, Croatia from January 2013 to May 2023 were retrospectively collected. The participants were divided into two groups: (1) the pre-pandemic group (presenting before mid-March 2020) and (2) the pandemic group (presenting afterwards). Results: A total of 91 patients were included, 68 in the pre-pandemic and 23 in the pandemic group. The admission rate was similar (<1 patient per month) in both groups. In comparison to pre-pandemic patients, which mostly presented during the summer (52.9%) and winter seasons (23.5%), most pandemic cases occurred in spring (34.8%) and fall (30.4%, p = 0.002). No significant differences between the groups were identified in the severity of DKA, as reflected either by mean pH and median bicarbonate levels or by the proportion of patients with severe DKA. Nevertheless, HbA1c and triglycerides were significantly higher in the pandemic group (12.56% vs. 11.02%, p = 0.002 and 4.95 mmol/L vs. 2.8 mmol/L, p = 0.022, respectively) indicating poorer long-term glycemia. DKA complications were, overall, rare and without significant differences between the groups. Conclusions: The COVID-19 pandemic did not impact overall frequency or severity of DKA in children in southern Croatia. While the seasonal changes in DKA occurrence and a poorer long-term glycemia in pandemic patients may have been influenced by COVID-19 outbreaks and the imposed anti-pandemic measures, further studies are needed to determine if this was a temporary pandemic-related phenomenon or if this trend would persist in the future.
Visible-Light-Induced Singlet Oxygen-Promoted Arylation and Alkylation of Quinoxalin-2(1H)-ones and Quinolines
Authors: Tan Renjun , Yang Hequn , Jiang Min , Song Peijun
Published: October 2024

We report a green and efficient visible-light-driven method for the arylation and alkylation of quinoxalin-2(1H)-ones and quinolines. This catalyst-free process utilizes air as the oxidant, offering mild reaction conditions, environmental sustainability, and broad functional group compatibility. The approach enables the synthesis of aryl and alkyl derivatives of quinoxalin-2(1H)-ones and quinolines with high to excellent yields.
Trastuzumab Potentiates Antitumor Activity of Thiopyrano[2,3-d]Thiazole Derivative in AGS Gastric Cancer Cells
Authors: Roszczenko Piotr , Szewczyk-Roszczenko Olga Klaudia , Gornowicz Agnieszka , Czarnomysy Robert , Lozynskyi Andrii , Bielawski Krzysztof , Lesyk Roman , Bielawska Anna
Published: October 2024

Gastric cancer remains a significant therapeutic challenge, highlighting the need for new strategies to improve treatment efficacy. This study investigates the potential of combined therapy with the novel Thiopyrano[2,3-d]Thiazole derivative LES-6400 and the anti-HER2 antibody trastuzumab in AGS gastric cancer cells. The antitumor effects of the combined therapy were evaluated using various techniques, including the MTT assay for cell viability, [3H]-thymidine incorporation for DNA synthesis, and flow cytometry to assess apoptosis (Annexin V-FITC/PI staining), mitochondrial membrane potential (MMP), and inflammatory cytokine levels. ELISA was employed to measure the levels of IL-6, p53, and cytochrome C. The combination of LES-6400 (1 µM) and trastuzumab (10 µg/mL) demonstrated superior antitumor activity compared to monotherapy with either agent in AGS gastric cancer cells. The combination therapy enhanced apoptosis, presumably by inducing oxidative stress in the cells and disrupting mitochondrial membrane potential. Additionally, a significant increase in p53 protein levels and modulation of interleukin levels, including a marked reduction in IL-6 levels, were observed, suggesting an impact on apoptotic and inflammatory responses. These findings indicate that the combined use of LES-6400 and trastuzumab is a promising therapeutic strategy for gastric cancer, warranting further investigation into the mechanisms of action and potential clinical applications of this combined approach.
Encapsulation of ɣ-Aminobutyric Acid Compounds Extracted from Germinated Brown Rice by Freeze-Drying Technique
Authors: Nilkamheang Tarinee , Thanaseelangkoon Chanikarn , Sangsue Rawinan , Parisaka Sarunya , Nghiep Le Ke , Wanyo Pitchaporn , Toontom Nitchara , Tudpor Kukiat
Published: October 2024

Gamma-aminobutyric acid (GABA) from plants has several bioactivities, such as neurotransmission, anti-cancer cell proliferation, and blood pressure control. Its bioactivities vary when exposed to pH, heat, and ultraviolet. This study analyzed the protective effect of the GABA encapsulation technique using gum arabic (GA) and maltodextrin (MD) and the freeze-drying method. The impact of different ratios of the wall material GA and MD on morphology, GABA content, antioxidant activity, encapsulation efficiency, process yield, and physical properties were analyzed. Results showed that the structure of encapsulated GABA powder was similar to broken glass pieces of various sizes and irregular shapes. The highest GABA content and encapsulation efficiency were, respectively, 90.77 mg/g and 84.36% when using the wall material GA:MD ratio of 2:2. The encapsulated powder’s antioxidant activity was 1.09–1.80 g of encapsulation powder for each formula, which showed no significant difference. GA and MD as the wall material in a 2:2 (w/w) ratio showed the lowest bulk density. The high amount of MD showed the highest Hausner ratio (HR), and Carr’s index (CI) showed high encapsulation efficiency and process yield. The stability of encapsulated GABA powder can be kept in clear glass with a screw cap at 35 °C for 42 days compared to the non-encapsulated one, which can be preserved for only 18 days under the same condition. In conclusion, this study demonstrated that the freeze-drying process for GABA encapsulation preserved GABA component extracts from brown rice while increasing its potential beneficial properties. Using a wall material GA:MD ratio of 2:2 resulted in the maximum GABA content, solubility, and encapsulation efficiency while having the lowest bulk density.
A New Proton Transfer Complex Between 3,4-Diaminopyridine Drug and 2,6-Dichloro-4-nitrophenol: Synthesis, Spectroscopic Characterization, DFT Studies, DNA Binding Analysis, and Antitumor Activity
Authors: Alghanmi Reem M. , Basha Maram T. , Al-Sulami Ahlam I. , Soliman Saied M. , Abdel-Rahman Laila H.
Published: October 2024

The proton transfer (PT) complexation reaction between 3,4-diaminopyridine (3,4-DAP), an important drug, and 2,6-dichloro-4-nitrphenole (DCNP) was investigated experimentally and theoretically. The experimental results indicated a chemical reaction occurred because of a hydrogen bonding, followed by proton transfer from the DCNP to the 3,4-DAP in different polar media. The Benesi–Hildebrand equation was used to estimate the formation constant (Kf), molar absorptivity (εPT), and other physical parameters. The formed PT complex was characterized using FTIR, 1H, and 13C NMR spectra. In addition, the nanocrystalline structure, particle sizes, and surface morphology of the complex were investigated by XRD and SEM-EDX. The structure of the 1:1 PT complex was calculated theoretically in the gas phase and the presence of solvent effects. Using TD-DFT calculations, the band observed at 406 nm (Calc. 379.5 nm) and 275 nm (Calc. 272.3 nm) could be assigned to the HOMO→LUMO transition (99%), and HOMO→L+3 transition (87%), respectively. The DNA binding ability of the PT complex was investigated, revealing an intercalative binding mechanism with a binding constant Kb of 4.6 × 104 M−1. Based on the results of the Ct-DNA binding study, the binding free energy of the PT complex with the receptor of human DNA (PDB ID:1BNA) is found to be −7.2 kcal/mol. The cytotoxic effects of the PT complex were evaluated on selected cancer cell lines, demonstrating significant antitumor activity against A-549 and MCF-7 cancer cell lines.
Study on the Hepatotoxicity of Emodin and Its Application in the Treatment of Liver Fibrosis
Authors: Guo Yurou , Song Jiawen , Liu Yushi , Yuan Minghao , Zhong Wenxiao , Guo Yiping , Guo Li
Published: October 2024

Emodin (EMO) is an anthraquinone compound derived from Rheum palmatum L., which has rich pharmacological activity. However, studies have shown that EMO may cause hepatotoxicity. In this study, EMO was combined with tetrandrine and prepared as lipid nanoparticles (E-T/LNPs). The anti-liver fibrosis activity of EMO before and after formulation was evaluated by zebrafish and mice. In addition, the toxicity of EMO and E-T/LNPs was compared and the toxicity–efficacy concentrations of E-T/LNPs in zebrafish were verified. E-T/LNPs are morphologically stable (particle size within 100 nm), have high encapsulation efficiency and good stability, and are capable of long-lasting slow release in vitro. The combination and preparation can reduce the toxicity and enhance the effect of EMO, and increase the toxicity and effect concentration of E-T/LNPs in vivo. In a short period, low doses of E-T/LNPs can be used for the treatment of liver fibrosis; high doses of E-T/LNPs cause toxicity in vivo. Immunohistochemistry showed that E-T/LNPs inhibited hepatic fibrosis by downregulating the levels of IL-1β and TGF-β. Based on the advantages of combination therapy and nanotechnology, it can play a role in reducing the toxicity and increasing the efficacy of EMO in the treatment of liver fibrosis.
Antihyperglycemic and Hypolipidemic Activities of Flavonoids Isolated from Smilax Dominguensis Mediated by Peroxisome Proliferator-Activated Receptors
Authors: Ortiz-Barragán Erandi , Estrada-Soto Samuel , Giacoman-Martínez Abraham , Alarcón-Aguilar Francisco J. , Fortis-Barrera Ángeles , Marquina-Rodríguez Hugo , Gaona-Tovar Emmanuel , Lazzarini-Lechuga Roberto , Suárez-Alonso Alfredo , Almanza-Pérez Julio César
Published: October 2024

Background/objetives: Mexican people use Smilax dominguensis as a traditional medicine for diabetes control. Some reports have shown an anti-hyperglycemic effect in animal models. In the current research, a chemical bio-guided fractionation in vitro and in silico was performed to identify compounds with anti-hyperglycemic and hypolipidemic effects through PPARγ/α dual agonist activity because they regulate genes involved in energy storage and burning, such as GLUT4 and FATP. Methods: The S. dominguensis extract was evaluated in mice through oral glucose tolerance tests. The bioactive extract was fractionated by open-column chromatography, and seven final fractions (F1–F7) were obtained and evaluated. C2C12 myoblasts were treated with the fractions, and the mRNA expression levels of PPARs, GLUT-4, and FATP were quantified. The most active fractions were evaluated on GLUT-4 translocation and lipid storage in C2C12 cells and 3T3-L1 adipocytes, respectively. Results: The F3 fraction increased the expressions of PPARγ, GLUT-4, PPARα, and FATP, and it induced GLUT-4 translocation and decreased lipid storage. F3 was then analyzed by NMR, identifying three flavonoids: luteolin, apigenin, and kaempferol. These compounds were analyzed by molecular docking and on PPAR expressions. Luteolin, apigenin, and kaempferol produced a discrete increase in the mRNA expression of PPARs. Luteolin and kaempferol also decreased lipid storage. Conclusions: Our findings indicate that the compounds identified in S. dominguensis exhibit dual agonist activity on PPARγ/PPARα and have the potential for the development of new therapeutic agents helpful in diabetes, obesity, or metabolic syndrome.
Novel Thiazole-Fused [4,5-g] or [5,4-g]Quinazolin-8-ones and Their Quinazoline Analogues: Synthesis and Biological Evaluation
Authors: Broudic Nathan , Pacheco-Benichou Alexandra , Corbière Cécile , Baratte Blandine , Robert Thomas , Bach Stéphane , Solhi Hélène , Le Guével Rémy , Fruit Corinne , Besson Thierry
Published: October 2024

Background/Objectives: In connection with previous work on V-shaped polycyclic thiazolo[5,4-f]quinazolin-9-one and [5,4-f]quinazoline derivatives that can modulate the activity of various kinases, the synthesis of straight thiazole-fused [4,5-g] or [5,4-g]quinazolin-8-ones and quinazoline derivatives hitherto undescribed was envisioned. Methods: An innovative protocol allowed to obtain the target structures. The synthesis of inverted thiazolo[4,5-h] and [5,4-h]quinazolin-8-one derivatives was also explored with the aim of comparing biological results. The compounds obtained were tested against a representative panel of eight mammalian protein kinases of human origin: CDK9/CyclinT, Haspin, Pim-1, GSK-3β, CK-1ε, JAK3, CLK1 and DYRK1A. Results and Conclusions: The results obtained show that the novel linear thiazoloquinazolines are not kinase inhibitors. The cytotoxicity of these newly synthesized compounds was assessed against seven representative tumor cell lines (human cancers: Huh7-D12, Caco-2, HCT-116, MCF-7, MDA-MB-231, MDA-MB-468 and PC-3). The majority of these novel molecules proved capable of inhibiting the growth of the tested cells. The 7-Benzyl-8-oxo-7,8-dihydrothiazolo[5,4-g]quinazolinones 5b and 6b are the most potent, with IC50 values in the micromolar range. None of these compounds showed toxicity against normal cells. A larger program of investigations will be launched to investigate the real potential interest of such compounds in anticancer applications.
“I Was Born!”: Personal Experience Narratives and Tree-Ring Marker Years
Authors: Koenig Nick , James Erin
Published: October 2024

This essay, co-written by a dendrochronologist (Nick) and a narrative theorist (Erin), considers how these two disciplines can meet to illuminate alternative narratives in tree rings. At the basis of our conversation is a desire to tease apart tree experience and the signification entangled within human practices of storytelling. First, Nick explains recent developments in dendrochronology and critical physical geography (CPG) that call attention to the ways in which tree-ring sciences often naturalize imperial narratives and demand alternative methodologies. Second, Erin dives into the imperial narratives of two case study tree bodies, throwing light upon the human and vegetal stories that these dominant narratives obscure and silence. Third, Nick turns to an experiment in critical participatory action research (CPAR) to suggest an approach to tree-ring dating—material dating—that takes its cues not from imperial histories but from a simultaneous interest in community engagement, anticolonial scholarship, and tree agency and signification. Fourth, Erin explains how material dating, via foregrounding personal experience, stands to produce a narrative more sensitive to a particular tree’s situated experience and better able to foment understanding among tree body viewers for the tree as a living and communicating organism. Finally, Nick and Erin use material dating to produce an alternative narrative for one of our case studies and provide directions for other scholars to replicate our process.
Accelerating Deep Learning in Radar Systems: A Simulation Framework for 60 GHz Indoor Radar
Authors: Reitz Philipp , Maiwald Timo , Bönsch Jonas , Franchi Norman , Lübke Maximilian
Published: October 2024

FMCW radar systems are increasingly used in diverse applications, and emerging technologies like JCAS offer new opportunities. However, machine learning for radar faces challenges due to limited application-specific datasets, often requiring advanced simulations to supplement real-world data. This paper presents a setup for generating synthetic radar data for indoor environments, evaluated using CNNs. The setup involves comprehensive modeling, including far-field antenna simulations, variations in human radar cross-section, and detailed representations of indoor environments with their corresponding propagation channel properties. These synthetic data are used to train CNNs, and their performance is assessed on real measurement data. The results demonstrate that CNNs trained on synthetic data can perform well when tested on real measurement data. Specifically, the models trained with synthetic data showed performance comparable to models trained with real measurement data, which required a minimum of 300 samples to reach similar levels of accuracy. This result demonstrates that synthetic data can effectively train neural networks, providing an alternative to real measurement data, particularly when collecting sufficient real-world samples is difficult or costly. This approach significantly reduces the time required for generating datasets, and the ability to quickly label data in simulations simplifies and accelerates post-processing. Additionally, the generated datasets can be made more heterogeneous by introducing varying signal conditions, enhancing the diversity and robustness of the training data.
A Feature-Driven Inception Dilated Network for Infrared Image Super-Resolution Reconstruction
Authors: Huang Jiaxin , Wang Huicong , Li Yuhan , Liu Shijian
Published: October 2024

Image super-resolution (SR) algorithms based on deep learning yield good visual performances on visible images. Due to the blurred edges and low contrast of infrared (IR) images, methods transferred directly from visible images to IR images have a poor performance and ignore the demands of downstream detection tasks. Therefore, an Inception Dilated Super-Resolution (IDSR) network with multiple branches is proposed. A dilated convolutional branch captures high-frequency information to reconstruct edge details, while a non-local operation branch captures long-range dependencies between any two positions to maintain the global structure. Furthermore, deformable convolution is utilized to fuse features extracted from different branches, enabling adaptation to targets of various shapes. To enhance the detection performance of low-resolution (LR) images, we crop the images into patches based on target labels before feeding them to the network. This allows the network to focus on learning the reconstruction of the target areas only, reducing the interference of background areas in the target areas’ reconstruction. Additionally, a feature-driven module is cascaded at the end of the IDSR network to guide the high-resolution (HR) image reconstruction with feature prior information from a detection backbone. This method has been tested on the FLIR Thermal Dataset and the M3FD Dataset and compared with five mainstream SR algorithms. The final results demonstrate that our method effectively maintains image texture details. More importantly, our method achieves 80.55% mAP, outperforming other methods on FLIR Dataset detection accuracy, and with 74.7% mAP outperforms other methods on M3FD Dataset detection accuracy.
Automated Recognition of Submerged Body-like Objects in Sonar Images Using Convolutional Neural Networks
Authors: Nga Yan Zun , Rymansaib Zuhayr , Anthony Treloar Alfie , Hunter Alan
Published: October 2024

The Police Robot for Inspection and Mapping of Underwater Evidence (PRIME) is an uncrewed surface vehicle (USV) currently being developed for underwater search and recovery teams to assist in crime scene investigation. The USV maps underwater scenes using sidescan sonar (SSS). Test exercises use a clothed mannequin lying on the seafloor as a target object to evaluate system performance. A robust, automated method for detecting human body-shaped objects is required to maximise operational functionality. The use of a convolutional neural network (CNN) for automatic target recognition (ATR) is proposed. SSS image data acquired from four different locations during previous missions were used to build a dataset consisting of two classes, i.e., a binary classification problem. The target object class consisted of 166 196 × 196 pixel image snippets of the underwater mannequin, whereas the non-target class consisted of 13,054 examples. Due to the large class imbalance in the dataset, CNN models were trained with six different imbalance ratios. Two different pre-trained models (ResNet-50 and Xception) were compared, and trained via transfer learning. This paper presents results from the CNNs and details the training methods used. Larger datasets are shown to improve CNN performance despite class imbalance, achieving average F1 scores of 97% in image classification. Average F1 scores for target vs background classification with unseen data are only 47% but the end result is enhanced by combining multiple weak classification results in an ensemble average. The combined output, represented as a georeferenced heatmap, accurately indicates the target object location with a high detection confidence and one false positive of low confidence. The CNN approach shows improved object detection performance when compared to the currently used ATR method.
A Review of Indoor Localization Methods Leveraging Smartphone Sensors and Spatial Context
Authors: Li Jiayi , Song Yinhao , Ma Zhiliang , Liu Yu , Chen Cheng
Published: October 2024

As Location-Based Services (LBSs) rapidly develop, indoor localization technology is garnering significant attention as a critical component. Smartphones have become tools for indoor localization due to their highly integrated sensors, fast-evolving computational capabilities, and widespread user adoption. With the rapid advancement of smartphones, methods for smartphone-based indoor localization have increasingly attracted attention. Although there are reviews on indoor localization, there is still a lack of systematic reviews focused on smartphone-based indoor localization methods. In particular, existing reviews have not systematically analyzed smartphone-based indoor localization methods or considered the combination of smartphone sensor data with prior knowledge of the indoor environment to enhance localization performance. In this study, through systematic retrieval and analysis, the existing research was first categorized into three types to dissect the strengths and weaknesses based on the types of data sources integrated, i.e., single sensor data sources, multi-sensor data fusion, and the combination of spatial context with sensor data. Then, four key issues are discussed and the research gaps in this field are summarized. Finally, a comprehensive conclusion is provided. This paper offers a systematic reference for research and technological applications related to smartphone-based indoor localization methods.
One-Dimensional Motion Representation for Standing/Sitting and Their Transitions
Authors: Lee Geunho , Hayakawa Yusuke , Watanabe Takuya , Li Chunhe
Published: October 2024

In everyday life, people often stand up and sit down. Unlike young, able-bodied individuals, older adults and those with disabilities usually stand up or sit down slowly, often pausing during the transition. It is crucial to design interfaces that accommodate these movements. Additionally, in public settings, protecting personal information is essential. Addressing these considerations, this paper presents a distance-based representation scheme for the motions of standing up and sitting down. This proposed scheme identifies both standing and sitting positions, as well as the transition process between these two states. Our scheme is based solely on the variations in distance between a sensor and the surfaces of the human body during these movements. Specifically, the proposed solution relies on distance as input, allowing for the use of a proximity sensor without the need for cameras or additional wearable sensor attachments. A single microcontroller is adequate for this purpose. Our contribution highlights that using a proximity sensor broadens the applicability of the approach while ensuring that personal information remains secure. Additionally, the scheme alleviates users’ mental burden, particularly regarding privacy concerns. Extensive experiments were performed on 58 subjects, including 19 people over the age of 70, to verify the effectiveness of the proposed solution, and the results are described in detail.
Internet of Things Long-Range-Wide-Area-Network-Based Wireless Sensors Network for Underground Mine Monitoring: Planning an Efficient, Safe, and Sustainable Labor Environment
Authors: Cacciuttolo Carlos , Atencio Edison , Komarizadehasl Seyedmilad , Lozano-Galant Jose Antonio
Published: October 2024

Underground mines are considered one of the riskiest facilities for human activities due to numerous accidents and geotechnical failures recorded worldwide over the last century, which have resulted in unsafe labor conditions, poor health outcomes, injuries, and fatalities. One significant cause of these accidents is the inadequate or nonexistent capacity for the real-time monitoring of safety conditions in underground mines. In this context, new emerging technologies linked to the Industry 4.0 paradigm, such as sensors, the Internet of Things (IoT), and LoRaWAN (Long Range Wide Area Network) wireless connectivity, are being implemented for planning the efficient, safe, and sustainable performance of underground mine labor environments. This paper studies the implementation of an ecosystem composed of IoT sensors and LoRa wireless connectivity in a data-acquisition system, which eliminates the need for expensive cabling and manual monitoring in mining operations. Laying cables in an underground mine necessitates cable support and protection against issues, such as machinery operations, vehicle movements, mine operator activities, and groundwater intrusion. As the underground mine expands, additional sensors typically require costly cable installations unless wireless connectivity is employed. The results of this review indicate that an IoT LoRaWAN-based wireless sensor network (WSN) provides real-time data under complex conditions, effectively transmitting data through physical barriers. This network presents an attractive low-cost solution with reliable, simple, scalable, secure, and competitive characteristics compared to cable installations and manually collected readings, which are more sporadic and prone to human error. Reliable data on the behavior of the underground mine enhances productivity by improving key performance indicators (KPIs), minimizing accident risks, and promoting sustainable environmental conditions for mine operators. Finally, the adoption of IoT sensors and LoRaWAN wireless connectivity technologies provides information of the underground mine in real-time, which supports better decisions by the mining industry managers, by ensuring compliance with safety regulations, improving the productive performance, and fostering a roadmap towards more environmentally friendly labor conditions.
Eco-Friendly Office Platform: Leveraging Machine Learning and GIS for Carbon Footprint Management and Green Space Analysis
Authors: Saetang Wanida , Chai-Arayalert Supaporn , Kajornkasirat Siriwan , Kongcharoen Jinda , Saeliw Aekarat , Puangsuwan Kritsada , Puttinaovarat Supattra
Published: October 2024

This research focuses on developing an innovative platform to manage carbon footprint data related to office activities and monitor green spaces, integrating geoinformatics and machine learning technologies. The platform addresses the lack of automated systems for tracking carbon emissions, particularly in high paper consumption environments, such as those involving printing and photocopying. Additionally, it monitors green spaces within corporate settings, an aspect often overlooked in existing systems. The study demonstrates the platform’s capability to automate carbon footprint calculations and provide accurate assessments of green areas, achieving a high accuracy rate of 96.22% and a Kappa coefficient of 0.92. The results confirm the platform’s ability to deliver both comprehensive and granular environmental insights, supporting decision making for more sustainable office environments. The key novelty of this study lies in the integration of real-time data capture with geoinformatics and machine learning to efficiently track both carbon footprints and green spaces. This approach offers a practical solution to a gap in environmental data management in office settings, enabling organizations to align their practices with sustainability goals. The platform’s precise, automated system contributes significantly to the development of eco-friendly workplaces, highlighting its academic and practical value in the field of environmental sustainability.
Importance–Performance Analysis of the Sustainability of South Penghu Marine National Park, Taiwan
Authors: Ng Sai-Leung , Sun Pei-Chuan
Published: October 2024

Despite the growing global focus on marine protected areas, there is a dearth of research addressing the comprehensive sustainability of such areas. This study fills the gap by evaluating the sustainability of South Penghu Marine National Park (SPMNP) using importance–performance analysis (IPA) across 18 sustainability indicators, encompassing environmental, economic, and social dimensions. The results reveal that environmental sustainability was rated as the most critical, with top indicators including protecting ecological habitats and marine wildlife. Performance scores were generally satisfactory, though disparities between importance and performance were noted, suggesting areas for improvement. Notably, all sustainability indicators are significantly below the threshold performance target of 75%, indicating significant gaps in meeting public expectations. The analysis also highlights strong public support for both on-site and off-site management measures as key strategies to enhance park sustainability. This study provides valuable insights for policymakers and park managers aiming to improve the sustainability of marine protected areas.
The Low-Density Lipoprotein Receptor-Related Protein-1 Is Essential for Dengue Virus Infection
Authors: Huerta Vivian , Martin Alejandro M. , Sarría Mónica , Guirola Osmany , Yero Alexis , Ramos Yassel , Pupo Dianne , Martin Dayron , Carletti Tea , González-Lodeiro Luis G. , Marcello Alessandro , Chinea Glay
Published: October 2024

Dengue virus (DENV) causes the most prevalent and rapidly spreading arboviral disease of humans. It enters human cells by receptor-mediated endocytosis. Numerous cell-surface proteins were proposed as DENV entry factors. Among these, the phosphatidylserine receptor TIM-1 is the only one known to mediate virus internalization. However, several cellular models lacking TIM-1 are permissive to DENV infection, suggesting that other receptors exist. Here, we show that the low-density lipoprotein receptor-related protein-1 (LRP1) binds DENV virions by interacting with the DIII of the viral envelope glycoprotein. DENV infection is effectively inhibited by the purified receptor at 5 × 10−8 mol/L, and the interaction of the envelope protein with LRP1 is also blocked by a natural ligand of LRP1. The depletion of LRP1 causes 100-fold lower production of infectious virus than controls. Our results indicate that LRP1 is another DENV receptor, thus becoming an attractive target to evaluate for the development of effective antiviral drugs against DENV.
Archived HIV-1 Drug Resistance Mutations: Role of Proviral HIV-1 DNA Genotype for the Management of Virological Responder People Living with HIV
Authors: Campagna Roberta , Nonne Chiara , Antonelli Guido , Turriziani Ombretta
Published: October 2024

Despite its effectiveness in controlling plasma viremia, antiretroviral therapy (ART) cannot target proviral DNA, which remains an obstacle to HIV-1 eradication. When treatment is interrupted, the reservoirs can act as a source of viral rebound, highlighting the value of proviral DNA as an additional source of information on an individual’s overall resistance burden. In cases where the viral load is too low for successful HIV-1 RNA genotyping, HIV-1 DNA can help identify resistance mutations in treated individuals. The absence of treatment history, the need to adjust ART despite undetectable viremia, or the presence of LLV further support the use of genotypic resistance tests (GRTs) on HIV-1 DNA. Conventionally, GRTs have been achieved through Sanger sequencing, but the advances in NGS are leading to an increase in its use, allowing the detection of minority variants present in less than 20% of the viral population. The clinical significance of these mutations remains under debate, with interpretations varying based on context. Additionally, proviral DNA is subject to APOBEC3-induced hypermutation, which can lead to defective, nonviable viral genomes, a factor that must be considered when performing GRTs on HIV-1 DNA.
Applied methods for 3D modeling of radio engineering devices
Authors: Ivanova Yoana
Published: October 2024

The aim of the paper is to present applied methods for engineering 3D modeling of pyramidal and conical horn antennas, which can contribute to the implementation of experimental research, both in a simulation and in a physical environment. The practical results presented at each step of the model building process are represented by screenshots of the work screen showing the used toolbars from the Autodesk 123D Design software menu. This is done with a view to improving the quality of training in areas related to the study of radio engineering devices, such as telecommunications engineering and aerospace engineering, in which the design and manufacture of various types of antennas help to conduct independent empirical research by the trainees with the help of measuring equipment.
ОПЫТ ОРГАНИЗАЦИИ РАБОТЫ АКУШЕРСКОГО БЛОКА ГКП НА ПХВ «МНОГОПРОФИЛЬНАЯ ГОРОДСКАЯ БОЛЬНИЦА №3» ГОРОДА НУР-СУЛТАН В УСЛОВИЯХ ПАНДЕМИИ COVID-19
Authors: З.Г. Хамидуллина , Ж.С. Данбаева , А.Ж. Хасенова , Г.У. Алдабекова
Published: October 2024

В статье представлены основные принципы организации принятые руководством ГКП на ПХВ «Многопрофильная городская больница №3» г. Нур-Султан в условиях пандемии коронавирусной инфекции. Комитетом инфекционного контроля разработаны алгоритмы, направленные на сдерживание эпидемического процесса COVID-19 и профилактику внутрибольничной инфекции. Своевременное принятие мер по противодействию распространения новой коронавирусной инфекции дало положительный эффект и определило эффективную и качественную работу акушерского блока. Ключевые слова: коронавирусная инфекция COVID-19, инфекционная безопасность, беременные, профилактика.

The article presents the basic principles of organization adopted by the leadership of the GKP on the REM "Multidisciplinary City Hospital No.3" in Nur-Sultan in the context of a coronavirus pandemic. The Infection Control Committee has developed algorithms aimed at curbing the epidemic process of COVID-19 and preventing nosocomial infection. The timely adoption of measures to counter the spread of the new coronavirus infection had a positive effect and determined the effective and high-quality work of the obstetric unit.

Мақалада коронавирустық пандемия жағдайында Нұр-Сұлтандағы «№3 көпсалалы қалалық аурухана» ШЖҚ МКК басшылығы қабылдаған ұйымның негізгі принциптері берілген. Инфекциялық бақылау комитеті COVID-19 эпидемиялық процесін тежеуге және ауруханаішілік инфекцияның алдын алуға бағытталған алгоритмдер әзірледі. Жаңа коронавирустық инфекцияның таралуына қарсы іс-шаралардың дер кезінде қабылдануы оң әсерін тигізді және акушерлік бөлімшенің тиімді әрі сапалы жұмысын анықтады.