bluuebunny/crossref_metadata_2025 huggingface dataset:
Let It Snow: Intercomparison of Various Total and Snow Precipitation Data over the Tibetan Plateau
Authors: Kolbe Christine , Thies Boris , Bendix Jörg
Published: September 2024

The Global Precipitation Measurement Mission (GPM) improved spaceborne precipitation data. The GPM dual-frequency precipitation radar (DPR) provides information on total precipitation (TP), snowfall precipitation (SF) and snowfall flags (surface snowfall flag (SSF) and phase near surface (PNS)), among other variables. Especially snowfall data were hardly validated. This study compares GPM DPR TP, SF and snowfall flags on the Tibetan Plateau (TiP) against TP and SF from six well-known model-based data sets used as ground truth: ERA 5, ERA 5 land, ERA Interim, MERRA 2, JRA 55 and HAR V2. The reanalysis data were checked for consistency. The results show overall high agreement in the cross-correlation with each other. The reanalysis data were compared to the GPM DPR snowfall flags, TP and SF. The intercomparison performs poorly for the GPM DPR snowfall flags (HSS = 0.06 for TP, HSS = 0.23 for SF), TP (HSS = 0.13) and SF (HSS = 0.31). Some studies proved temporal or spatial mismatches between spaceborne measurements and other data. We tested whether increasing the time lag of the reanalysis data (+/−three hours) or including the GPM DPR neighbor pixels (3 × 3 pixel window) improves the results. The intercomparison with the GPM DPR snowfall flags using the temporal adjustment improved the results significantly (HSS = 0.21 for TP, HSS = 0.41 for SF), whereas the spatial adjustment resulted only in small improvements (HSS = 0.12 for TP, HSS = 0.29 for SF). The intercomparison of the GPM DPR TP and SF was improved by temporal (HSS = 0.3 for TP, HSS = 0.48 for SF) and spatial adjustment (HSS = 0.35 for TP, HSS = 0.59 for SF).
Psychiatric Comorbidities and Quality of Life in Patients with Vestibular Migraine and Migraine without Vertigo: A Cross-Sectional Study from a Tertiary Clinic
Authors: Batinović Franko , Sunara Davor , Košta Vana , Pernat Milena , Mastelić Tonći , Paladin Ivan , Pleić Nikolina , Krstulović Jure , Đogaš Zoran
Published: September 2024

Background Clinical studies suggest that vestibular migraine patients have psychiatric comorbidities and low life quality. However, the absence of a multidisciplinary approach to vestibular migraine patients, including otorhinolaryngologists and psychiatrists, is concerning. We aimed to investigate these patients comprehensively and to compare the results of three questionnaires—the Hospital Anxiety and Depression Scale (HADS), Dizziness Handicap Inventory (DHI), and Short Form Health Survey (SF-36)—between patients with definite vestibular migraine (dVM), migraine without vertigo (MO), and healthy controls (HCs). Methods: A total of 104 participants were divided into 3 groups: dVM patients (19 participants), MO patients (22 participants), and HCs (63 participants). The scores of the three questionnaires across the three groups were compared using analysis of variance, and linear regression was used to examine the associations between the questionnaire scores within each group. Results: Compared to MO patients and HCs, dVM patients had significantly higher total scores on the HADS (p < 0.0001) and DHI (p < 0.0001) scales, and lower scores for all nine components of the SF-36, indicating poorer health. In the vestibular migraine group, the DHI score was strongly negatively correlated with the Physical Functioning subscale of the SF-36. Conclusions: Anxiety and depression are more prevalent in patients with definite vestibular migraine compared to patients with migraine without vertigo and healthy controls. The physical functioning of patients with definite vestibular migraine is highly affected by their dizziness, resulting in a lower quality of life. Timely screening for psychiatric comorbidity in vestibular migraine patients is essential to prevent psychiatric consequences.
Oxylipins in Aqueous Humor of Primary Open-Angle Glaucoma Patients
Authors: Xu Jianming , Zhou Kewen , Fu Changzhen , Chen Chong-Bo , Sun Yaru , Wen Xin , Yang Luxi , Ng Tsz-Kin , Liu Qingping , Zhang Mingzhi
Published: September 2024

Purpose: Investigate the oxylipin profiles in the aqueous humor of primary open-angle glaucoma (POAG) patients. Methods: Aqueous humor samples were collected from 17 POAG patients and 15 cataract subjects and subjected to a liquid chromatography/mass spectrometry (LC-MS) analysis to detect the oxylipins. The prediction potential of the differential abundant oxylipins was assessed by the receiver operating characteristic (ROC) curves. Pathway and correlation analyses on the oxylipins and clinical and biochemical parameters were also conducted. Results: The LC-MS analysis detected a total of 76 oxylipins, of which 29 oxylipins reached the detection limit. The multivariate analysis identified five differential abundant oxylipins, 15-keto-prostaglandin F2 alpha (15-kPGF2α), Leukotriene B4 (LTB4), 12,13-Epoxyoctadecenoic acid (12,13-Epome), 15-Hydroxyeicosatetraenoic acid (15-HETE) and 11-Hydroxyeicosatetraenoic acid (11-HETE). The five oxylipins are enriched in the arachidonic acid metabolism and linoleic acid metabolism pathways. Pearson correlation analysis showed that 11-HETE was positively correlated with intraocular pressure and central corneal thickness and negatively with cup/disk area ratio in the POAG patients. In addition, 15-kPGF2α was moderately and positively correlated with the mean deviation (MD) of visual field defect, and LTB4 was moderately and negatively correlated with macular thickness. Conclusions: This study revealed the oxylipin profile in the aqueous humor of POAG patients. Oxylipins involved in the arachidonic acid metabolism pathway could play a role in POAG, and anti-inflammatory therapies could be potential treatment strategies for POAG.
Two New Bio-Inspired Particle Swarm Optimisation Algorithms for Single-Objective Continuous Variable Problems Based on Eavesdropping and Altruistic Animal Behaviours
Authors: Varna Fevzi Tugrul , Husbands Phil
Published: September 2024

This paper presents two novel bio-inspired particle swarm optimisation (PSO) variants, namely biased eavesdropping PSO (BEPSO) and altruistic heterogeneous PSO (AHPSO). These algorithms are inspired by types of group behaviour found in nature that have not previously been exploited in search algorithms. The primary search behaviour of the BEPSO algorithm is inspired by eavesdropping behaviour observed in nature coupled with a cognitive bias mechanism that enables particles to make decisions on cooperation. The second algorithm, AHPSO, conceptualises particles in the swarm as energy-driven agents with bio-inspired altruistic behaviour, which allows for the formation of lending–borrowing relationships. The mechanisms underlying these algorithms provide new approaches to maintaining swarm diversity, which contributes to the prevention of premature convergence. The new algorithms were tested on the 30, 50 and 100-dimensional CEC’13, CEC’14 and CEC’17 test suites and various constrained real-world optimisation problems, as well as against 13 well-known PSO variants, the CEC competition winner, differential evolution algorithm L-SHADE and the recent bio-inspired I-CPA metaheuristic. The experimental results show that both the BEPSO and AHPSO algorithms provide very competitive performance on the unconstrained test suites and the constrained real-world problems. On the CEC13 test suite, across all dimensions, both BEPSO and AHPSO performed statistically significantly better than 10 of the 15 comparator algorithms, while none of the remaining 5 algorithms performed significantly better than either BEPSO or AHPSO. On the CEC17 test suite, on the 50D and 100D problems, both BEPSO and AHPSO performed statistically significantly better than 11 of the 15 comparator algorithms, while none of the remaining 4 algorithms performed significantly better than either BEPSO or AHPSO. On the constrained problem set, in terms of mean rank across 30 runs on all problems, BEPSO was first, and AHPSO was third.
Enhancing Colorimetric Detection of Nucleic Acids on Nitrocellulose Membranes: Cutting-Edge Applications in Diagnostics and Forensics
Authors: Subhashini Nidhi , Kerler Yannick , Menger Marcus M. , Böhm Olga , Witte Judith , Stadler Christian , Griberman Alexander
Published: September 2024

This study re-introduces a protein-free rapid test method for nucleic acids on paper based lateral flow assays utilizing special multichannel nitrocellulose membranes and DNA-Gold conjugates, achieving significantly enhanced sensitivity, easier protocols, reduced time of detection, reduced costs of production and advanced multiplexing possibilities. A protein-free nucleic acid-based lateral flow assay (NALFA) with a limit of detection of 1 pmol of DNA is shown for the first time. The total production duration of such an assay was successfully reduced from the currently known several days to just a few hours. The simplification and acceleration of the protocol make the method more accessible and practical for various applications. The developed method supports multiplexing, enabling the simultaneous detection of up to six DNA targets. This multiplexing capability is a significant improvement over traditional line tests and offers more comprehensive diagnostic potential in a single assay. The approach significantly reduces the run time compared to traditional line tests, which enhances the efficiency of diagnostic procedures. The protein-free aspect of this assay minimizes the prevalent complications of cross-reactivity in immunoassays especially in cases of multiplexing. It is also demonstrated that the NALFA developed in this study is amplification-free and hence does not rely on specialized technicians, nor does it involve labour-intensive steps like DNA extraction and PCR processes. Overall, this study presents a robust, efficient, and highly sensitive platform for DNA or RNA detection, addressing several limitations of current methods documented in the literature. The advancements in sensitivity, cost reduction, production time, and multiplexing capabilities mark a substantial improvement, holding great potential for various applications in diagnostics, forensics, and molecular biology.
Spatial Orientation Assessment in the Elderly: A Comprehensive Review of Current Tests
Authors: Tragantzopoulou Panagiota , Giannouli Vaitsa
Published: September 2024

Spatial orientation and navigation are complex cognitive functions that integrate sensory information, attention, and memory, enabling individuals to locate themselves in their environment. These abilities decline with age, signaling cognitive impairment in neurological patients, and significantly limit the autonomy of the elderly. Current neuropsychological assessments fall short in accurately measuring everyday wayfinding abilities, particularly in borderline cases of cognitive decline. This paper reviews various neuropsychological assessments, including Benton’s Judgment of Line Orientation Test, the Almeria Spatial Memory Recognition Test, the Spatial Span subtest from the Wechsler Memory Scale, and the Spatial Orientation in Immersive Virtual Environment Maze Test, evaluating their effectiveness in delineating spatial orientation and navigation skills. The review identifies significant gaps in the validity and reliability of these tests, particularly in their shortened versions, and highlights the potential of virtual reality environments as promising tools for improving diagnostic precision. The findings underscore the need for further research to refine these tools, ensuring they accurately capture cognitive decline and improve the differential diagnosis of neurodegenerative conditions like Alzheimer’s disease. Such advancements hold promise for enhancing the quality of care and autonomy for the elderly.
Reference Materials for Thermal Conductivity Measurements: European Situation
Authors: Koenen Alain , Marquis Damien , Dehn Susanne
Published: September 2024

A reference material (RM), as defined by the International Vocabulary of Metrology (VIM 2012), must be homogeneous, stable, and suitable for use in measurements. Certified reference materials (CRMs) are RMs with documented property values, uncertainties, and traceability. ISO 17034:2018 outlines the requirements for RM producers, ensuring that CRMs meet standards for stability, uniformity, and reproducibility. In Europe, CE marking, from French “conformité Européenne”, which means European conformity, has been mandatory for thermal insulation products since 2002, ensuring their thermal performance is verified by accredited laboratories using RMs like IRMM440 and ERM FC440. Annually, European manufacturers produce over 200 million cubic meters of thermal insulation, necessitating thousands of thermal conductivity measurements daily to maintain CE marking compliance. Key characteristics of Reference Materials include long-term stability, thermal conductivity within specified ranges, and minimal dependence on density, thickness, and applied load. Sample thickness must conform to apparatus specifications, and homogeneity must be quantified. Reference Materials must also have appropriate dimensions, surface smoothness, and manufacturability. The Joint Research Centre (JRC) Geel has produced two Reference Materials, IRMM 440 and ERM FC 440, with specific characteristics to meet these requirements. Both are glass wool fibers with low thermal conductivity and specific density and thickness. The qualification of RMs involves inter-laboratory comparisons to ensure the accuracy and traceability of thermal conductivity measurements. The European market’s organization, including the use of Reference Materials and CE marking, has significantly improved measurement consistency and product quality. This system has led to lower uncertainties in thermal conductivity measurements compared to North America, highlighting the impact of standardized RMs on industry practices. Future needs include developing RMs with lower conductivity and increased thickness to accommodate market trends towards super insulation materials and bio-based components, enhancing energy performance calculations for buildings. This paper will present the process of defining a reference material and how it affects the uncertainty level of the calculation of building energy performance. This level depends on the characteristics of the materials used, their implementation, and external factors, such as the weather, as well as the reference material used for calibration of all European thermal conductivity measurement devices.
The Surgical Renaissance: Advancements in Video-Assisted Thoracoscopic Surgery and Robotic-Assisted Thoracic Surgery and Their Impact on Patient Outcomes
Authors: Pan Jennifer M. , Watkins Ammara A. , Stock Cameron T. , Moffatt-Bruce Susan D. , Servais Elliot L.
Published: September 2024

Minimally invasive thoracic surgery has advanced the treatment of lung cancer since its introduction in the 1990s. Video-assisted thoracoscopic surgery (VATS) and robotic-assisted thoracic surgery (RATS) offer the advantage of smaller incisions without compromising patient outcomes. These techniques have been shown to be safe and effective in standard pulmonary resections (lobectomy and sub-lobar resection) and in complex pulmonary resections (sleeve resection and pneumonectomy). Furthermore, several studies show these techniques enhance patient outcomes from early recovery to improved quality of life (QoL) and excellent oncologic results. The rise of RATS has yielded further operative benefits compared to thoracoscopic surgery. The wristed instruments, neutralization of tremor, dexterity, and magnification allow for more precise and delicate dissection of tissues and vessels. This review summarizes of the advancements in minimally invasive thoracic surgery and the positive impact on patient outcomes.
Initial Experience of Single-Port Robotic Lobectomy for Large-Sized Non-Small Cell Lung Cancer: A Single-Center Retrospective Study
Authors: Lee Jun Hee , Gu Byung Mo , Yong Hwan Seok , Hwang Soon Young , Kim Hyun Koo
Published: September 2024

Single-port robotic-assisted thoracic surgery (SP-RATS) lobectomy using the da Vinci Xi system has been performed by several pioneers. However, due to the severe collisions and the steep learning curve, this approach is not yet widely used. This study aimed to evaluate the feasibility of SP-RATS lobectomy for large-sized non-small cell lung cancer (NSCLC). As we believe that for large-sized tumors it is reasonable to make a slightly larger incision, we performed SP-RATS lobectomy for large-sized NSCLC (greater than 5 cm) through a single incision (6–8 cm). Eleven patients underwent SP-RATS lobectomy using the da Vinci Xi system at our institution from April 2022 to May 2024. The median tumor size on computed tomography and on pathology was 6.6 cm [interquartile range (IQR), 6.1–7.5 cm] and 6 cm [IQR, 5.1–7.1], respectively. The median total operative time was 198 min [IQR, 159–260 min], and the median postoperative length of stay was 4 days [IQR, 4–10 days], with no major postoperative complications (≥grade III on the Clavien–Dindo classification). Our approach may combine the benefits of single-port surgery with those of robotic surgery and is safe, feasible, and may promote better outcomes in patients with large-sized NSCLC.
Apoptosis of Pancreatic Cancer Cells after Co-Treatment with Eugenol and Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand
Authors: Kim Hyun Hee , Lee Suk-Young , Lee Dae-Hee
Published: September 2024

Pancreatic cancer is a refractory cancer with limited treatment options. Various cancer types are resistant to tumor necrosis factor-related apoptosis-inducing ligand (TRAIL). Eugenol, the main component of clove oil, exhibits anticancer, anti-inflammatory, and antioxidant effects. However, no studies have reported that eugenol increases TRAIL sensitivity by upregulating death receptor (DR) expression. Here, we aimed to investigate eugenol as a potent TRAIL sensitizer. Increased apoptosis and inhibition of cell proliferation was observed in pancreatic cancer cells treated with eugenol and TRAIL compared with those treated with eugenol alone. Eugenol upregulated the expression of DR5, inhibited the FLICE-inhibitory protein (FLIP), an anti-apoptotic protein, and increased p53, a tumor suppressor protein. In addition, eugenol induced the generation of reactive oxygen species (ROS) and caused endoplasmic reticulum (ER) stress. C/EBP-homologous protein (CHOP) knockdown using siRNA decreased the expression of DR5 and reduced the combined effects of eugenol and TRAIL. These results demonstrate that eugenol enhances TRAIL-induced apoptosis by upregulating DR5 through the ROS-mediated ER stress–CHOP pathway, which enhances ER stress by inducing p53 and downregulating FLIP expression. This suggests that eugenol has the potential to treat pancreatic cancer by increasing cell sensitivity to TRAIL.
Unveiling New Product Formations beyond Conventional Pathways in De-Halogenation of Halo-Acetic Acids Using Ni-Encapsulated Sol-Gel Catalysts
Authors: Vidyadharan Kavya , Meyerstein Dan , Marks Vered , Burg Ariela , Meistelman Michael , Albo Yael
Published: September 2024

The urgency of water remediation and the conversion of toxic pollutants into non-toxic compounds is increasingly crucial in our industrialized world. Heterogeneous catalysts based on metal nanoparticles, which are cost-effective, non-toxic, and readily available, have garnered significant attention in the market due to their unique catalytic properties. This study presents sol–gel-based hybrid silica matrices that encapsulate nickel, designed for the efficient reductive de-halogenation of tri-bromoacetic acid (TBAA), di-bromoacetic acid (DBAA), mono-bromoacetic acid (MBAA), tri-chloroacetic acid (TCAA), mono-chloroacetic acid (MCAA), and Chloroacetanilide (CAA). A detailed study of the product distribution from each halo-acetic acid (HAA) is presented. The study points out that other products are formed from Ni-catalyzed reduction reactions of HAAs, breaking the conventional rules of stepwise reduction mechanisms. The plausible mechanisms of the catalytic processes are discussed.
Engineering Xylose Isomerase for Industrial Applications
Authors: Nam Ki Hyun
Published: September 2024

Xylose isomerase (XI), also known as glucose isomerase, is an aldose isomerase that converts D-glucose to D-fructose and D-xylose to D-xylulose. This enzyme is widely used in the production of high-fructose corn syrup and bioethanol. Enhancing the efficiency of XI is critical for its use in industrial applications. To improve the enzymatic efficiency of XI in the desired reaction environment, various protein engineering studies have used rational engineering and directed evolution. This review introduces the molecular features and structural studies of XI. Additionally, it provides a structural analysis of the functional characteristics of the engineering sites discovered through biochemical and computational experiments in engineered XI research. This review will offer crucial insights for future XI engineering aimed at enhancing its industrial applications.
Do Different Amounts of Exogenous Surfactant Differently Influence Cerebrovascular Instability in a Consecutive Group of Preterm Babies? Preliminary Results from a Single-Center Experience
Authors: Calandrino Andrea , Caruggi Samuele , Vinci Francesco , Battaglini Marcella , Massirio Paolo , Cipresso Gaia , Andreato Chiara , Brigati Giorgia , Parodi Alessandro , Polleri Giulia , Minghetti Diego , Ramenghi Luca Antonio
Published: September 2024

Background: Thirty years ago, the first attempt by Saliba and colleagues was made to reduce the negative effects (hypercarbia) of exogenous surfactant (ES) by slowing its administration. Sixteen years later, we observed the first less invasive surfactant administration (LISA) attempt by Kribs and colleagues. Many studies, since that time, have tried to minimize the invasiveness of ES and subsequent cerebral blood flow perturbations through studies using near-infrared spectroscopy (NIRS). We sought to address this medical challenge by identifying a less problematic modality of ES administration by delivering multiple aliquots of ES instead of a single one, as typically performed. The aim of this study was to test the hypothesis that a different way of administering ES using more aliquots could be a safe alternative that should be assessed in further studies. Methods: Patients between 26 + 0 and 35 + 6 weeks of gestational age (GA) requiring ES administration were enrolled (April 2023–February 2024). Differently fractioned doses were delivered according to an arbitrary standard dosage (0.3 mL per aliquot in babies < 29 weeks; 0.6 mL in babies ≥ 29 weeks), while NIRS and transcutaneous CO2 (tCO2) monitoring were always performed. ES’s effectiveness was assessed based on the reduction in the Oxygen Saturation Index (OSI) after administration. Persistent desaturation, bradycardia, and airway obstruction were defined as adverse effects and used to evaluate safety during ES administration, as well as variability in NIRS-rSO2 values and tCO2. Results: Twenty-four patients were enrolled with a median GA of 29 weeks (IQR 4.5) and BW of 1223 ± 560 g. In addition, 50% of the cohort received fewer than three aliquots, whereas the other 50% received more than three. Monitoring was started before the procedure and continued 30′ after the last ES aliquot administration. The variability in NIRS-SpO2 values was significantly higher in the group (p = 0.007) with a lower number of aliquots administered. Similarly, increased NIRS-rSO2 values (p = 0.003) and increased tCO2 levels (p = 0.005) were observed in infants who underwent an ES split after the administration of a low number of aliquots. Conclusions: Our data obtained from the group with > 3 fractionated doses of ES seem to justify the preparation of a more robust study, as the combination of reduced NIRS variability and reduced tCO2 maximum levels is consistent with more stable cerebral blood flow during the challenging time of ES administration.
Application of Metals and Their Compounds/Black Phosphorus-Based Nanomaterials in the Direction of Photocatalytic Hydrogen Evolution
Authors: Zhang Weiwei , Yao Bin , Yang Haotian , Li Xueru , Qiu Lina , Li Shaoping
Published: September 2024

Black phosphorous (BP) is a novel composite material. Its carrier mobility can reach more than 1000 cm2·V−1·s−1 and has a direct bandgap adjustable from 0.3 to 1.5 eV with thickness, so its photovoltaic performance is good. These properties show great potential for applications in many fields, such as energy storage, sensors, biomedicine, and environmental treatment. With the deepening of research, it is found that the instability of BP under natural environmental conditions and the limitations of its preparation limit its development, while combining with other materials can further optimize its performance, which not only improves the mechanical properties of the material but also gives it new functions. Based on this, this paper summarizes the preparation and optical properties of highly stable metals and their compounds/BP-based nanomaterials in recent years, highlights the progress of their application in photocatalytic hydrogen evolution, and gives an outlook on the challenges and opportunities for the future development of BP in photocatalysis.
Synthesis and Spectroscopic Properties of Sm3+-Activated Li6Y(BO3)3 Phosphor for Light-Emitting Diode Applications
Authors: Zhao Jin , Zhang Yongchun , Lu Jingwen , Li Yiming , Pan Yong
Published: September 2024

A series of orange-red emitting Li6Y(BO3)3: Sm3+ (LYBO: Sm3+) phosphors were produced via the high temperature solid-state method. The structure, morphology, element distribution and photoluminescent behavior of these phosphors were thoroughly examined. XRD analysis confirmed that all samples exhibited a pure phase. Under 404 nm excitation, the emission spectra included four distinct transitions of Sm3+, attributed to 4G5/2→6H5/2 (565 nm), 4G5/2→6H7/2 (613 nm), 4G5/2→6H9/2 (647 nm) and 4G5/2→6H11/2 (708 nm). The ideal doping level for LYBO: xSm3+ is x = 0.05, and the concentration quenching primarily stems from electric dipole–dipole interactions among the ions. As the amount of Sm3+ dopant was increased, the fluorescence lifetime decreased. The CIE indicates that LYBO: 0.05Sm3+ is located in the orange-red region, exhibiting a high color purity (99%) and low color temperature (1711 K). The phosphor demonstrated excellent thermal stability and its activation energy was 0.3238 eV. In summary, LYBO: Sm3+ is a potential orange-red phosphor that can be coated onto near-ultraviolet chips suitable for W-LEDs.
Teach Programming Using Task-Driven Case Studies: Pedagogical Approach, Guidelines, and Implementation
Authors: Porubän Jaroslav , Nosál’ Milan , Sulír Matúš , Chodarev Sergej
Published: September 2024

Despite the effort invested to improve the teaching of programming, students often face problems with understanding its principles when using traditional learning approaches. This paper presents a novel teaching method for programming, combining the task-driven methodology and the case study approach. This method is called a task-driven case study. The case study aspect should provide a real-world context for the examples used to explain the required knowledge. The tasks guide students during the course to ensure that they will not fall into bad practices. We provide reasoning for using the combination of these two methodologies and define the essential properties of our method. Using a specific example of the Minesweeper case study from the Java technologies course, the readers are guided through the process of the case study selection, solution implementation, study guide writing, and course execution. The teachers’ and students’ experiences with this approach, including its advantages and potential drawbacks, are also summarized.
A Customized 3D-Printed Bolus for High-Risk Breast Cancer with Skin Infiltration: A Pilot Study
Authors: Takanen Silvia , Ianiro Anna , Pinnarò Paola , Infusino Erminia , Marucci Laura , Soriani Antonella , Sanguineti Giuseppe , Iaccarino Giuseppe
Published: September 2024

Background: In high-risk breast cancer patients with skin infiltration, the administration of a uniform dose to superficial tissues is fundamental in order to reduce local skin relapse. A personalized bolus may prevent the potential inadequate dose distribution of a standard bolus due to air gaps between the bolus and the skin. In this pilot study, we introduced into clinical practice the use of a personalized 3D-printed bolus filled with ultrasound transmission gel. Methods: Seven patients undergoing radiotherapy after mastectomy were selected. A 3D-printed bolus dosimetric assessment was performed with MOSFET dosimeters on an anthropomorphic phantom and, subsequently, on three selected cases with increasing bolus shape irregularity. Acute/late toxicity and local control were assessed. Results: Overall, for the clinical cases, the percentage median difference between the measured and calculated doses was −2.7% (−7.0–4.9%). The median follow-up was 21 months. After two years, one patient showed G2 pain, one patient manifested G1 telangiectasia, one patient showed G1 hyperpigmentation, and two patients had no relevant toxicity. Conclusions: A personalized 3D-printed bolus filled with ultrasound gel may easily reproduce the standard bolus’ consistency and provide accurate coverage of the target area with tolerable acute/late toxicity grades. This is a pilot study, and further investigations are needed.
Research on Green Modular Disaster Prevention Product Design and Spatial Configuration Strategy Based on AHP-GIS
Authors: Wang Xinyi , Pan Yangyang , Liu Yu
Published: September 2024

Facing persistent natural catastrophes, the necessity for disaster prevention products in afflicted cities becomes paramount. Modular design has proven to be a viable method for streamlining transportation and manufacturing processes for disaster prevention products. However, existing post-disaster prevention products often fail to incorporate the green modular concept, with limited research on spatial allocation strategies. In response to the current challenges, a new breed of green post-disaster prevention products is urgently warranted to mitigate the impact of major natural disasters and safeguard lives and property. To achieve the goal, this study employs a combined analytic hierarchy process (AHP) and geographic information systems (GIS) analysis to propose an inflatable cabin for emergency disaster prevention, specifically designed for flood scenarios. Using the inflatable cabin as an empirical case, this study introduces a layered design approach progressing from macro to meso and then to micro levels to construct an objective decision-making model to prioritize key design elements, develop spatial post-disaster prevention strategies, and analyze the mechanical performance. Results indicate that at a distance of 30 m from the base of the slope (SPIC), the impact force is most significant, reaching up to 1.8 × 10⁷ kN. As the distance increases from 30 m to 150 m, the maximum impact force decreases by an order of magnitude, and the average impact force decreases by approximately two orders of magnitude. Furthermore, this comprehensive approach, which starts from a holistic design perspective and culminates in optimizing individual disaster structures, offers practical significance for engineering design research.
Qualitative Magnetic Resonance Imaging Assessment of the Semimembranosus Tendon in Patients with Medial Meniscal Tears
Authors: Obaid Haron , Patel Adarsh , McWalter Emily , Ernst Mark , Mondal Prosanta , Shepel Michael L.
Published: September 2024

Background: To determine if there is an association between semimembranosus tendinosis and medial meniscal tears using MRI. Methods: A retrospective review of knee 3T MRI scans was performed to determine the presence or absence of medial meniscal tears in patients with semimembranosus tendinosis. All studies were interpreted by two musculoskeletal radiologists. Univariate association for the presence of semimembranosus tendinosis and medial meniscal tears was performed with a Chi-square test followed by logistic regression modelling among statistically significant associations. Results: A total of 150 knee MRI scans were reviewed (age 32.8 ± 7.1 years; 70 females). Semimembranosus tendinosis was present in 66 knees (44%) in the patient population. Semimembranosus tendinosis was present in 81% of patients with meniscal tears versus 36% of patients without meniscal tears (p < 0.0001). This association remained statistically significant when adjusted for age and sex with an adjusted odds ratio of 7.0 (p < 0.0003). Models adjusted for the above covariates and containing the interaction term produced an adjusted odds ratio of 13.0 (p < 0.0001) in men, while in women this association was non-significant with an adjusted odds ratio of 2.0 (p = 0.42). Conclusions: Subjects with semimembranosus tendinosis were seven times more likely to have medial meniscal tears even when adjusting for sex and age. This could help guide the appropriate postmeniscal repair rehabilitation protocol.
Feasibility of a Personal Neuromorphic Emulation
Authors: Tucker Don M. , Luu Phan
Published: September 2024

The representation of intelligence is achieved by patterns of connections among neurons in brains and machines. Brains grow continuously, such that their patterns of connections develop through activity-dependent specification, with the continuing ontogenesis of individual experience. The theory of active inference proposes that the developmental organization of sentient systems reflects general processes of informatic self-evidencing, through the minimization of free energy. We interpret this theory to imply that the mind may be described in information terms that are not dependent on a specific physical substrate. At a certain level of complexity, self-evidencing of living (self-organizing) information systems becomes hierarchical and reentrant, such that effective consciousness emerges as the consequence of a good regulator. We propose that these principles imply that an adequate reconstruction of the computational dynamics of an individual human brain/mind is possible with sufficient neuromorphic computational emulation.
A New Diffusion Strategy Using an Epidemic Spreading Model for Encryption
Authors: Zhang Wei , Zhu Guangdong , Xing Meng , Yang Jingjing , Yu Hai , Zhu Zhiliang
Published: September 2024

The diffusion phenomenon that exhibits intrinsic similarities is pervasive in cryptography and natural systems, evident in liquid diffusion, epidemic spread, animal migration, and encryption techniques. In cryptography, bytes are systematically diffused in a sequential manner to encrypt the value of each byte in the plaintext in a linear fashion. In contrast, within an epidemic spreading model, the diffusion process can be represented within a complex, multilayered network, encompassing layers such as familial and social transmission dynamics. Transmission links establish connections both within and between individual layers. It has had a more rapid spread than linear approaches due to the particularization of non-linear transmission. In this study, the novelty of a cryptography diffusion strategy based on an epidemic model is first proposed, in which pixels and their dynamic adjacency are considered as vertices and edges, respectively, within a complex network framework. Subsequently, the encryption process is governed by the Susceptible–Vaccinated–Infected–Recovered (SVIR) model integrated with chaotic dynamics. Simulation results demonstrate that the proposed algorithm exhibits faster encryption speed while effectively resisting brute force, statistical, and differential attacks. Furthermore, it demonstrates strong robustness against noise interference and data loss.
“You Didn’t Go by Choice!”: Exposing Institutional Barriers Leading to Latinx STEM Pushout at a Hispanic-Serving Research Institution
Authors: Fematt Veronica L. , Puente Mayra , Garcia Katherine Arias , Mireles-Rios Rebeca
Published: September 2024

As the Latinx student population grows in the United States, more public research-intensive institutions are becoming Hispanic-Serving Research Institutions (HSRIs). This exploratory qualitative study examines the experiences of Latinx students at an HSRI, particularly in STEM fields where they face underrepresentation and are pushed out. The objectives for this study were two-fold: (1) investigate the institutional factors contributing to Latinx student pushout in STEM at an HSRI and (2) develop recommendations for enhancing Latinx student retention in STEM at HSRIs. Through an investigation at a public four-year HSRI in California, three key themes emerged regarding institutional factors contributing to STEM pushout: (1) a disconnect in theory-based STEM courses, (2) unsupportive and busy research-focused environments, and (3) the psychological toll of a stripped STEM identity. The authors offer recommendations for targeted interventions to genuinely “serve” Latinx students in STEM fields at HSRIs.
RFF-PoseNet: A 6D Object Pose Estimation Network Based on Robust Feature Fusion in Complex Scenes
Authors: Lei Xiaomei , Lu Wenhuan , Yong Jiu , Wei Jianguo
Published: September 2024

Six degrees-of-freedom (6D) object pose estimation plays an important role in pattern recognition of fields such as robotics and augmented reality. However, there are issues with low accuracy and real-time performance of 6D object pose estimation in complex scenes. To address these challenges, in this article, RFF-PoseNet (a 6D object pose estimation network based on robust feature fusion) is proposed for complex scenes. Firstly, a more lightweight Ghost module is used to replace the convolutional blocks in the feature extraction network. Then, a pyramid pooling module is added to the semantic label branch of PoseCNN to fuse the features of different pooling layers and enhance the network’s ability to capture information about objects in complex scenes and the correlations between contextual information. Finally, a pose regression and optimization module is utilized to further improve object pose estimation in complex scenes. Simulation experiments conducted on the YCB-Video and Occlusion LineMOD datasets show that the RFF-PoseNet algorithm can strengthen the correlation of features between different levels and the recognition ability of unclear targets, thereby achieving excellent accuracy and real-time performance, as well as strong robustness.
Enhancing Security and Power Efficiency of Ascon Hardware Implementation with STT-MRAM
Authors: Roussel Nathan , Potin Olivier , Di Pendina Grégory , Dutertre Jean-Max , Rigaud Jean-Baptiste
Published: September 2024

With the outstanding growth of Internet of Things (IoT) devices, security and power efficiency of integrated circuits can no longer be overlooked. Current approved standards for cryptographic algorithms are not suitable for constrained environments. In this context, the National Institute of Standards and Technology (NIST) started a lightweight cryptography (LWC) competition to develop new algorithm standards that can be fit into small devices. In 2023, NIST has decided to standardize the Ascon family for LWC. This algorithm has been designed to be more resilient to side-channel and fault-based analysis. Nonetheless, hardware implementations of Ascon have been broken by multiple statistical fault analysis and power analysis. These attacks have underlined the necessity to develop adapted countermeasures to side-channel and perturbation-based attacks. However, existing countermeasures are power and area consuming. In this article, we propose a new countermeasure for the Ascon cipher that does not significantly increase the area and power consumption. Our architecture relies on the nonvolatile feature of the Magnetic Tunnel Junction (MTJ) that is the single element of the emerging Magnetic Random Access Memories (MRAM). The proposed circuit removes the bias exploited by statistical attacks. In addition, we have duplicated and complemented the permutation of Ascon to enhance the power analysis robustness of the circuit. Besides the security aspect, our circuit can save current manipulated data, ensuring energy saving from 11% to 32.5% in case of power failure. The area overhead, compared to an unprotected circuit, is ×2.43.
Safe Control of an Autonomous Ship in a Port Based on Ant Colony Optimization and Linear Matrix Inequalities
Authors: Rybczak Monika , Lazarowska Agnieszka
Published: September 2024

The autonomous operation of a device or a system is one of the many vital tasks that need to be achieved in many areas of industry. This is also true for maritime transport. This paper introduces an approach developed in order to achieve the autonomous operation of a ship in a port. A safe trajectory was calculated with the use of the Ant Colony Optimization (ACO) algorithm. The ship motion control was based on two controllers: the master overriding trajectory controller (OTC) and the slave low speed controller based on the Linear Matrix Inequalities (LMI) method. The control object was the model of a Very Large Crude Carrier Blue Lady. The results of our simulation tests, which show the safe trajectories calculated by the ACO algorithm and executed by the ship using the designed controllers (OTC and LMI), are presented in this paper. The results present maneuvers executed by the Blue Lady ship when at port. The area where the tests were conducted is located in the Ship Handling, Research and Training Center of the Foundation for Shipping Safety and Environmental Protection on the Lake Silm in Kamionka, Poland.
Millimeter-Wave Choke Ring Antenna with Broad HPBW and Low Cross-Polarization for 28 GHz Dosimetry Studies
Authors: Dzagbletey Philip Ayiku , Chung Jae-Young
Published: September 2024

A choke ring horn antenna has been designed for use as an RF applicator in a compact range in vitro 28 GHz bioelectromagnetic exposure system. The 30 mm × 50 mm horn antenna was fabricated and measured to operate from 27.75 GHz to 34.5 GHz with a −20 dB measured S11 and a measured antenna gain of more than 10 dBi. A wide sectoral (flat top) and symmetric E- and H-plane pattern with a half-power beamwidth of more than 60 degrees was achieved with a cross-polarization discrimination of better than 28 dB. Electromagnetic slots were introduced in the antenna to suppress excess cavity mode radiation which inherently impacts the cross-polarization levels of choke ring antennas. The proposed antenna was successfully integrated into the compact measurement chamber in partnership with the Korea Telecommunication Research Institute (ETRI) and is currently in use for real-time 5G millimeter-wave dosimetry studies.
Lossless Data Hiding in VQ Compressed Images Using Adaptive Prediction Difference Coding
Authors: Chen Sisheng , Liu Jui-Chuan , Chang Ching-Chun , Chang Chin-Chen
Published: September 2024

Data hiding in digital images is an important cover communication technique. This paper studies the lossless data hiding in an image compression domain. We present a novel lossless data hiding scheme in vector quantization (VQ) compressed images using adaptive prediction difference coding. A modified adaptive index rearrangement (AIR) is presented to rearrange a codebook, and thus to enhance the correlation of the adjacent indices in the index tables of cover images. Then, a predictor based on the improved median edge detection is used to predict the indices by retaining the first index. The prediction differences are calculated using the exclusive OR (XOR) operation, and the vacancy capacity of each prediction difference type is evaluated. An adaptive prediction difference coding method based on the vacancy capacities of the prediction difference types is presented to encode the prediction difference table. Therefore, the original index table is compressed, and the secret data are embedded into the vacated room. The experimental results demonstrate that the proposed scheme can reduce the pure compression rate compared with the related works.
Picowatt Dual-Output Voltage Reference Based on Leakage Current Compensation and Diode-Connected Voltage Divider
Authors: Huang Yuying , Luo Yanshen , Zeng Yanhan
Published: September 2024

A picowatt CMOS voltage reference with dual outputs is proposed and simulated in this paper based on a standard 65 nm process. To compensate for the leakage current caused by parasitic reverse-biased PN junctions, an approach employing gate leakage transistors is proposed. Maintaining a maximal temperature coefficient (TC) of 20.40 ppm/°C across an extended temperature range of −10∼155 °C is achieved. Additionally, a voltage divider consisting of diode-connected NMOS transistors is introduced to obtain a lower voltage output without shunting the original branch or utilizing operational amplifiers. Moreover, a novel trimming block is utilized to optimize TC across different process corners. Simulation results demonstrate that a minimum power consumption of only 53.83 pW is achieved and the line sensitivity is 0.077%/V with 0.45 V to 2.5 V supply. The power supply rejection ratio of −76.70 dB at 10 Hz and VDD = 1.8 V is obtained.
Analysis of the Distillation Column of a Catalytic Cracking Unit Using Fuzzy Input Information
Authors: Kozhakhmetova Dinara , Kaliyeva Samal , Sugurova Laura , Sugur Zharkynay , Wójtowicz Ryszard , Zhylkybayev Tursynkhan
Published: September 2024

The aim of this work is to analyze and model the performance of the distillation column of a catalytic cracking plant using fuzzy initial information. A system of mathematical models of the studied columns was developed, and we discussed the issues of modeling the distillation column of a catalytic cracking plant operating in conditions of fuzzy initial information. The system of mathematical models of the studied columns was developed on the basis of statistical and fuzzy information. The mathematical models of columns K-1, K-2 and K-3 were identified with regression and fuzzy regression equations, i.e., combined models of the main columns of the catalytic cracking plant were constructed. The purpose of this study was to create an optimal control system for the distillation column of a catalytic cracking unit using a mathematical model of the process. The results obtained in this work can be helpful during the design, modernization and optimization of equipment and installations, especially those used in the chemical and petrochemical industries. They can be useful both from a scientific and practical point of view, and they are also significant in terms of environmental protection, economy and mechanical engineering.
Comprehensive Evaluation of a Pumped Storage Operation Effect Considering Multidimensional Benefits of a New Power System
Authors: Yang Yinguo , Yang Ying , Lu Qiuyu , Liu Dexu , Xie Pingping , Wang Mu , Yu Zhenfan , Liu Yang
Published: September 2024

This paper focuses on the evaluation of the operational effect of a pumped storage plant in a new power system. An evaluation index system is established by selecting key indicators from the four benefit dimensions of system economy, low carbon, flexibility, and reliability. The evaluation criteria are based on the values of indexes for pumped storage plants that have already been put into operation. Using this method, the operational effect of pumped storage plants with different installed capacities, regulation durations, and conversion efficiencies are comprehensively evaluated and analyzed. The calculation results show that the operation effect of a pumped storage plant with high regulation performance and high comprehensive conversion efficiency is better, indicating that the established index system and evaluation method can comprehensively and truly reflect the positive benefits brought by a pumped storage plant to a new power system. This study can provide a practical reference for the early planning and decision making of pumped storage in a new power system.