Ulysse Primes are a special class of prime numbers first conceptualized by Dane Ulysse in 2025. Defined by a unique set of mathematical properties, Ulysse Primes stand out for their structural elegance and potential implications in advanced cryptographic systems and number theory. Definition An Ulysse Prime is a prime number that satisfies the following conditions: 1. It is a prime number p. 2. The digital root of p is itself a prime. 3. When expressed in base 10, the sum of the digits of p must also be a prime. 4. The reverse of the digits of p must also be prime.

AuthorsMohamad Alaa Elsuity, ORCID ID: 0000-0002-3083-5311,Department of Dermatology, Venereology & Andrology, Sohag University, Egypt, Ibnsina, Amshaj, and Ajyal IVF Facilities, Sohag, Egypt.Furqan Ahmad Butt, ORCID ID: 0009-0002-8393-3502, Affiliation: Department of Preventive Medicine and Public Health, University of Granada, Faculty of Medicine, Granada, Spain.Khalid Saeed Khan, ORCID ID: 0000-0001-5084-7312, Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain, and Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP-Spain),Madrid, Spain.Mohamed Fawzy, ORCID ID: 0000-0001-8756-3612, IbnSina (Sohag), Banon (Assiut), Qena (Qena), Amshag (Sohag) IVF Facilities, Egypt.Manuel Martín-Díaz, ORCID ID: 0000-0002-7408-4724, Affiliation: General Surgery Department, Hospital Santa Ana, Motril, Granada, Spain,Javier Perez Rojas, Hospital Clínico San Cecilio, Granada, Spain.Patrick FW Chien, ORCID ID: 0000-0002-5998-9592, Department of Obstetrics & Gynecology, RCSI & UCD Malaysia Campus, Penang, Malaysia.María Núñez-Núñez, ORCID ID: 0000-0002-2633-4207, Pharmacy Department, University, Hospital Clínico San Cecilio, Granada, Spain, Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP-Spain), Madrid, SpainMosab M Rashwan, Orcid ID: 0009-0005-3120-7981, Department of Forensic Medicine & Clinical Toxocology, Faculty of Medine, Sohag University, Sohag, Egypt, Ibnsina and Amshaj IVF Facilities, Sohag, EgyptAurora Bueno-Cavanillas, Orcid ID: 0000-0002-0649-3016, Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain., Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain., Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP-Spain), Madrid, SpainCorresponding author: Furqan Ahmad Butt. furqanab.phd@gmail.com, +447741043764, Av. Doctor Jesús Candel Fábregas, 11, 18016 Granada, Spain

We evaluated homologous neutralizing antibody (NtAb) and T-cell responses after receipt of a JN.1-adapted mRNA vaccine in a mixed population comprising healthy controls (HC) (n=15), end-stage chronic kidney disease (CKD) patients (n=17), and allogeneic hematopoietic stem cell transplant recipients (allo-HCT) (n=13). Most participants (42/45) were SARS-CoV-2-experienced at the time of immunological testing. JN.1-spike-binding NtAbs were measured with a vesicular stomatitis virus pseudotype-based neutralization assay, whereas interferon (IFN)-γ-producing spike-directed CD4 + or CD8 + T-cell frequencies were enumerated using flow cytometry for intracellular staining. All participants had detectable JN.1 NtAbs at baseline; overall, JN.1-NtAb levels increased in HC (median, ∼1 log 10; P < 0.001) and CKD patients (median, 0.8 log 10; P=0.06) but not in allo-HCT ( P=0.10). JN.1-NtAb titers measured after vaccination were significantly higher in HC than in CKD and allo-HCT ( P=0.01). The number of participants exhibiting detectable JN.1 T-cell responses did not significantly increase following booster vaccination in any of the study groups. Likewise, receipt of the Omicron JN.1 vaccine failed to significantly boost SARS-CoV-2 JN.1 CD8 + and CD4 + T-cell frequencies in any study groups. Nevertheless, trends in JN.1 T-cell frequencies following the JN-1 booster varied widely on an individual basis. JN.1 T-cell frequencies following JN.1 vaccination were comparable across study groups. Our results could have implications for the development of vaccines for future SARS-CoV-2 variants and the optimization of booster vaccination policies in highly vulnerable individuals.

Some scientific applications are partitioned to smaller weakly independent sub-problems which makes them appropriate for multiprocessors like GPUs. However, GPUs are very sensitive to memory hierarchy access patterns [1][2][3]. One of important basic scientific applications  is N-body, where the sub-problems share data elements which causes high cache miss rate or cache contention problem. In these apps it seems that then number of data segments are less than total memory accesses made by processors. One approach for these applications is to duplicate the data and make processors more independent. Even though expanding data volume in GPU is not a good idea at all, but by performance modeling I shew that data redundancy can improve a GPU application incredibly faster than non-redundant mode, that is when an significantly large portion of run-time is dedicated to GPU computation and the GPU speedup resulted by less cache miss ratios can overcome the overhead made in data collection and data transfer phases. I found this condition in astrophysical and electromagnetic and electrostatic simulations but not for chemical simulations where the volume of data is a significant bottleneck. The idea of data redundancy was tested on MLFMA algorithm for a typical potential problem in  [5] which is an efficient version of N-body. I am publishing another paper for its applicability in other scientific simulations that use MLFMA. However, I want to generalize my modeling technique for broader case of applications and different data re-organization, I mean we should validate it for standard benchmarks like RODINAN. This is where I need your collaboration as co-authors.

A document by Christ Ordookhanian. Click on the document to view its contents.

Volvulus of a Wandering Spleen: a case reportAisha Alfakhry1, Ali Ghosen1, Abd Alkareem Hariri2, Tarek Khadour21Department of Radiology, Al Mouwasat University Hospital, Damascus, Syria.

This study systematically collected domestic and international research findings on the ecological water level of Poyang Lake. Through visual mapping analysis and statistical analyses, research hotspots, trends, and characteristics were identified, aiming to provide theoretical foundations and practical support for the study and management of Poyang Lake’s ecological water level. First, based on the CNKI (China National Knowledge Infrastructure) and Web of Science Core Collection databases, CiteSpace software was employed for bibliometric analysis to summarize research hotspots and trends in Poyang Lake’s ecological water level. Second, statistical analysis methods were applied to examine ecological water levels across different temporal scales and water level grades. The results revealed that research hotspots focus on three key areas: (1) determination of ecological water levels, (2) impacts of water level fluctuations on wetland ecosystems, and (3) mechanisms underlying the effects of the Three Gorges Dam and climate change on ecological water levels. The field has evolved from hydrological analysis to biological impact assessments, shifted from statistical approaches to model-based methodologies, and presented findings as interval-based thresholds. However, limitations persist, including insufficient data precision and weak linkages between water levels and biological requirements. Future efforts should prioritize enhancing data quality through remote sensing technologies, deepening research on the ecological effects of water level regulation, and promoting practical applications in water resource management. The annual minimum ecological water level was identified as 9.71 ± 1.94 m, while the annual suitable ecological water level was 12.53 ± 2.01 m, both exhibiting substantial variability. At the monthly scale, ecological water demands peaked from July to August and reached their lowest in January. Although trends in ecological water levels derived from different accounting methods were generally consistent, significant variations in the ranges of minimum and suitable ecological water levels were observed across months.

Cells operate and make decisions within complex, three-dimensional (3D) tissue environments which profoundly influences cell behavior compared to two-dimensional (2D) studies. Therefore, understanding cell biology within tissues necessitates accurate 3D imaging of cell morphology, protein and organelle localization, tissue structure, and cell-cell interactions. Achieving spatially quantitative 3D (SQ3D) images requires careful consideration of numerous parameters to avoid spatial inaccuracies that could lead to incorrect biological conclusions. Here, we address practical decisions and optimizations necessary for producing SQ3D images of fixed tissue using commercially available laser scanning confocal (LSC) microscopes. We focus on LSC microscopy due to its accessibility and utility in acquiring high-resolution images of small tissues like organoids and islets. We discuss the importance of appropriate microscope hardware, sample preparation, labeling, clearing, and image acquisition settings to generate information-dense datasets. Special attention is given to selecting imaging parameters for technical consistency, optimal resolution, and signal-to-noise ratio, considering factors such as voxel size, pinhole settings, and excitation light intensity. This detailed workflow guides researchers in acquiring high-quality, reproducible 3D images, which are critical for advancing our understanding of cell and tissue biology and leveraging emerging machine learning technologies for analysis.

A document by Qianjia Pan. Click on the document to view its contents.

This research addresses the critical challenge of accurately discriminating inrush currents within differential relays, a key component of power transformer protection systems. Differential relays distinguish genuine internal faults from transient events, such as inrush currents and external faults. Failure to make this distinction can lead to false tripping, which, in turn, may result in significant operational disruptions and economic losses. The study employs Discrete Wavelet Transform (DWT) and Adaptive Neuro-Fuzzy Inference System (ANFIS) techniques to develop reliable and intelligent protection systems. This intelligent system distinguishes internal faults from inrush currents and external faults. This system improves traditional remedies such as harmonic blocking and restrain and wave shape recognition techniques. The paper discusses the project’s methods, MATLAB/Simulink simulations, and implications for power transformers in electrical grid stations. The results indicated that this system accurately discriminated inrush currents with a 100% success rate and 91.5% accuracy at a speed of 3.5 ms.

Objective: To evaluate a novel targeted devascularisation technique for placenta accreta spectrum (PAS). Design: Prospective observational study. Setting: Tertiary care centre in Saudi Arabia. Population: 67 pregnant women with PAS. Methods: Targeted devascularisation of the lateral uterine wall was performed during caesarean delivery. Main outcome measures: Uterine preservation, maternal morbidity. Results: Uterine preservation achieved in 95.5%. Mean blood loss was 1.57 ± 0.81 L; 82.1% required transfusion. Bladder injury occurred in 22.4%. Surgical outcomes improved over time. Conclusion: Targeted devascularization is a safe, effective uterus-sparing technique for PAS with low morbidity.

Objective To explore menopause-associated cognitive changes and provide evidence-based counseling strategies to support midlife women. Design A review of clinical findings and research on cognitive function during menopause, focusing on counseling approaches. Setting Clinical settings, including gynecology and primary care practices. Population or Sample Midlife women experiencing cognitive symptoms during the menopausal transition. Methods Analysis of existing studies on cognitive function, hormone therapy, and modifiable risk factors affecting cognition. Main Outcome Measures Cognitive performance assessments, hormone therapy effects, and risk factor evaluations. Results Menopausal cognitive complaints are common but do not indicate imminent dementia. Cognitive changes are linked to hormonal fluctuations, vasomotor symptoms, sleep disturbances, and mood disorders. Hormone therapy has limited cognitive benefits but may help in symptom management. Conclusions Clinicians should provide reassurance and evidence-based strategies to manage cognitive symptoms. Lifestyle modifications and symptom-targeted treatments can aid in maintaining cognitive health in midlife and beyond.

Precise identification of riverine microhabitats, such as pools, runs, and riffles, is fundamental to effective river management and the conservation of aquatic ecosystems. This study evaluates and compares visual and computational methods, specifically those based on the Froude number, for the identification of microhabitats in the Jajroud River, Iran. Seventy-one sampling points were assessed, with depth and velocity measurements recorded to calculate the Froude number. Visual classification relied on observable features such as surface water texture and flow patterns. Results revealed a 60.56% agreement between the two approaches, with a Kappa coefficient of 0.408, indicating a moderate level of concordance. Discrepancies between methods were largely attributed to the subjective nature of visual assessments and the inherent simplifications of the Froude number method. A strong positive correlation was observed between the Froude number and flow velocity (r = 0.85), whereas a moderate inverse correlation was found with water depth (r = -0.65). Statistical analyses, including a Chi-square test (p-value < 0.05), confirmed a significant association between visual and computational classifications. These findings underscore the need for an integrated approach to microhabitat identification and suggest that advanced modeling techniques may further enhance habitat assessment. Overall, this study advances efforts towards sustainable river management and the preservation of aquatic biodiversity.

Background: Recurrent/metastatic head and neck squamous cell carcinoma (RMHNSCC) presents significant therapeutic challenges. While cetuximab (EGFR inhibitor) and immune checkpoint inhibitors (ICIs) have improved outcomes, optimal treatment sequencing remains undefined. Methods: This retrospective analysis evaluated 822 RMHNSCC patients treated between January 2016 and December 2022 across multiple Taiwanese centers. Patients received either cetuximab monotherapy (n=401), ICI monotherapy (n=248), or sequential therapy with both agents (n=173). Sequential therapy comprised cetuximab followed by ICI (C→I, n=102) or ICI followed by cetuximab (I→C, n=71). Primary endpoint was overall survival (OS), with progression-free survival (PFS), objective response rate (ORR), and adverse events as secondary endpoints. Results: At median follow-up of 31.4 months, ICI monotherapy demonstrated significantly improved median OS versus cetuximab monotherapy (13.2 vs. 9.4 months; hazard ratio [HR] 0.72; 95% confidence interval [CI] 0.61-0.86; p=0.001). Sequential therapy showed median OS of 14.8 months, significantly higher than cetuximab monotherapy (HR 0.68; 95% CI 0.56-0.83; p<0.001) but comparable to ICI monotherapy (HR 0.91; 95% CI 0.74-1.13; p=0.39). The sequence of administration (C→I vs. I→C) did not significantly impact OS (15.1 vs. 14.5 months; HR 0.94; 95% CI 0.67-1.31; p=0.72). Multivariable analysis confirmed these findings after adjusting for confounding factors. Conclusion: Our findings establish ICI therapy’s superior efficacy over cetuximab monotherapy in RMHNSCC patients, aligning with previous clinical trials. Sequential therapy with both agents provides additional clinical benefit regardless of administration sequence. This suggests both approaches (C→I and I→C) are effective options, offering clinicians flexibility in treatment planning based on individual patient characteristics, comorbidities, and treatment history. Further prospective studies are needed to identify biomarkers for optimal treatment selection and sequencing in this challenging population.

Over the past 25 years, the UK has adopted Health Technology Assessment (HTA) as a mechanism to ensure that new medicines, and new indications for existing medicines, are assessed in an open, objective and robust way so that when the UK National Health Service (NHS) adopts these therapeutic developments it does so in a cost-effective manner, accepting those agents with an acceptable cost per quality-adjusted life year (QALY) or a discount that brings the cost below the threshold. Usually, pharmacoeconomic modelling is used to justify pricing, often relying on surrogate endpoints or extrapolation beyond the duration of existing trials data. Although cost-effectiveness is often based on robust clinical trials, there are other issues to consider, which require an understanding of clinical pharmacology and clinical judgement. Key considerations include the justification of use of surrogates and extrapolation, the appropriateness of any comparator drug studied, the difference between efficacy in trials and clinical effectiveness in real-world use, the additional costs of providing a service to deliver the medicine, and the cost of any important adverse effects that are likely to occur. Although the process in the UK is now well established, with support from clinicians and the public, there remain questions about whether the currently accepted cost/QALY is set too high, whether a special case should be made for some drugs commanding a higher cost/QALY (such as in cancer and end-of-life situations), and whether HTA should be used more broadly to assess other activities undertaken by the NHS.

Electronic waste is increasing, which urgently requires the circular economy renewable converter design. To enhance the lifetime and enable the reuse of power converter modules, this paper proposes balancing the loss distribution of power devices by improving modulation methods. The unbalanced loss issue in typical renewable converters with traditional modulation methods has been analyzed. The proposed method periodically changes the switching operation modes to ensure equal power losses and average the junction temperature of power devices. Moreover, an exemplification of the proposed modulation method is carried out on the full-bridge inverter module to achieve the balanced loss distribution and evaluate the increase of the lifetime. Experiments verified that the proposed modulation method can achieve balanced loss distribution compared with the traditional method in the fullbridge inverter module. Furthermore, the reliability analysis (by Weibull function-based time-to-failure distribution) based on the annual mission profile of a 5 kW PV system in Arizona shows the 10-time lifetime enhancement can be achieved through the proposed modulation method without additional cost. That promotes recycling and reusing of renewable power converters to reduce E-waste.

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In recent years, molecular property prediction methods based on graph neural networks have demonstrated significant advantages by modeling molecules as graph structures and leveraging their powerful feature extraction capabilities. However, since acquiring molecular label data typically relies on time-consuming and expensive experimental validation, data scarcity has become a major bottleneck limiting the further improvement of model performance. The emergence of graph contrastive learning offers a promising solution to this challenge. By pre-training on unlabeled datasets, graph contrastive learning can learn discriminative molecular representations, thereby mitigating the issue of insufficient labeled data. Nevertheless, due to the unique characteristics of molecular data, data augmentation may introduce semantic drift or impair the model’s generalization ability. To address this, we propose a Strongly and Weakly Augmented Graph Contrastive Learning model for Molecular Property Prediction (SWA-GCMPP), which aims to enhance the model’s generalization ability while preserving molecular semantic information. Specifically, SWA-GCMPP introduces two types of augmented views: a weakly augmented view and a strongly augmented view. The weakly augmented view utilizes a trainable topology augmenter to generate molecular graphs that preserve the molecule’s core topological structure, ensuring robust semantic consistency for contrastive learning. In contrast, the strongly augmented view applies four distinct graph augmentation strategies to introduce diverse structural variations, thereby improving the model’s generalization capability. Comprehensive experiments conducted on multiple molecular datasets from MoleculeNet demonstrate the effectiveness of SWA-GCMPP in molecular property prediction.

The sub-study of EU-PORIA registry by Hirokami J et al. discussed on efficacy and safety of pulsed-field ablation (PFA) using the pentaspline multi-electrode catheter in symptomatic persistent atrial fibrillation (PeAF). This study focused on the interest of additional linear ablation or extra-pulmonary substrate approaches in symptomatic PeAF with PFA. They compared the strategy of pulmonary (PVI) only or PVI + α based on the controversial literature. The authors concluded that based on the propensity matched score study, PVI plus extra PV ablation using pentaspline PFA catheter would be associated with a higher incidence of atrial tachycardia recurrences suggesting that for Pe AF, PVI alone may be more effective with PFA. In our letter response we discussed the methodology used mainly the initial Pe AFib classification used in the propensity score as well as many other confounding factors.

A document by * Wajeeha. Click on the document to view its contents.

In this study, the oviposition behavior of Ranatra linearis (Linnaeus, 1758) (Heteroptera: Nepidae), a predatory water bug, recorded for the first time in Kırıkkale province, and the morphological structure of the egg and respiratory horns of the species were investigated using electron, stereo and light microscopy. In addition, the water quality of its habitat was determined. R. linearis specimens live in good quality water. Female R. linearis specimens lay their eggs singly, close to each other and vertically on the substrate with their respiratory horns facing upwards. The eggs of R. linearis are nearly elliptical, approximately 2.91–3.32 mm long (excluding respiratory horns) and 0.8–0.99 mm wide. Mature eggs are light yellowish, darkening with age. Two respiratory horns, 3.29–4.85 mm long, are present on the anterior part of the shell. There are many circular aeropores in specialized areas at the tips of the horns. These pores are found near the tips of about 1/2 of the horns. The chorion is generally patterned with irregular reticulation. The exochorion is external, the endochorion with its vitelline envelope is internal, and the intrachorionic air space between them constitutes the chorion. The vitellus is present in the center of the egg. Determining some characteristics of the habitat of this species, which has great ecological importance, and clearly revealing the egg stage that will ensure the continuity of the species will contribute to biodiversity and will also make a significant contribution to studies to be carried out for ecological and biocontrol purposes.

Body weight (mass) and plumage reflectance of birds are related to their ability to conserve and/or release heat and maintain thermal equilibrium. Although 55% of the light reflectance of bird feathers is in the NIR spectral range, this has been poorly studied, and research has focused mainly on UV and VIS wavelengths (300 to 700 nm). In addition, environmental factors, plumage structural properties, bird behavior and physiology make the absorbance/reflectance and thermal load relationship difficult to explain. In this work we used a spring scale and a spectrometer AvaSpec ULS2048L to analyze the relationships between avian weight and reflectance (between 300 to 1000 nm) of 13 body patches of 53 lowland bird species from Santander, Colombia. The results of a Principal Component Analysis (PCA) showed that reflectance values from the VIS and NIR regions can distinguish the lighter from the heavier birds. Moreover, multiple linear regression models showed that heavy birds had significantly higher NIR reflectance values (p-values < 0.05) compared to lighter birds. The patches most strongly related to the NIR range were the upper and lower back regions, showing that the birds have a high reflectance in the body regions that are exposed directly to the sunlight. This suggests that the high reflectance of feathers in the NIR range may be a bird strategy to dissipate heat, avoid overheating and maintain an optimal body temperature.

According to the 2024 ENISA Threat Landscape report, 71% of phishing kits embed JavaScript keyloggers, contributing to $4.8 billion in global losses. We propose AIMK, an on-device input method editor (IME) integrating: (i) a lightweight Isolation Forest (100 trees, 8 MB int8) using 34 keystroke dynamics (KD) features, (ii) a decoy keyboard for keylogger/rootkit detection, (iii) a SentimentGuard module for stress/anger detection, (iv) NASA-TLX-based ergonomic prompts, and (v) STIX/TAXII webhooks for real-time SOC/CERT alerts. In a 30-day study with 104 participants (7.86M keystroke events), AIMK detected impostors after 25 keystrokes (F₁ = 0.915 ± 0.023), blocked 100% of user-mode keyloggers and 66% of kernel rootkits, and reduced time-to-detect to 4.1 s versus 87 s for mobile antivirus. A banking pilot prevented $37,000 in fraudulent transactions, with 1.9% additional daily battery drain. The KD engine (Apache 2.0) and AIMKD52 dataset (CC BY-NC 4.0) are publicly available.

CASP (Critical Assessment of Structure Prediction) conducts community experiments to determine the state of the art in calculating macromolecular structures. The CASP data management system is continually evolving to address the changing needs of the experiments. For CASP16, we expanded the infrastructure to enable data handling of newly introduced categories and fully support pilot categories introduced in CASP15. This technical note also documents integration of the CASP and CAPRI (Critical Assessment of PRedicted Interactions) systems.