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Use of a sperm morphology assessment standardisation training tool improves the accuracy of novice sperm morphologists
Investigating the impact of situational awareness and resilience on occupational stress: a case study of nurses in medical and educational hospitals in Ahvaz
Development and validation of a predictive model for postoperative hepatic dysfunction in Stanford type A aortic dissection
Biogeographic patterns of modern benthic shallow-water molluscs and the roles of temperature and palaeogeographic legacy
Abstract Unveiling the processes that lead to biogeographic regionalisation is key to understanding the links between micro- and macroevolution, community processes and macroecology. However, many studies focus on present-day conditions while neglecting geological and palaeontological history. Here, we review the relevance of contemporary climatic conditions and ocean circulation patterns and their geological legacy on the distribution of marine benthic biota, using Mollusca as a model group. Based on global gridded occurrence data, we computed hierarchical cluster analyses and non-metric multidimensional scalings using Simpson’s distance index at three systematic ranks (species, genus, family). Generalised additive models were applied to assess the relationship between taxon distribution and global sea-surface temperature. In addition, we introduce a novel method to quantify the geographic coherence of clusters identified by cluster analysis to ascertain biogeographically meaningful interpretation. We show that contemporary climate and palaeogeographic changes, which have shaped ocean circulation patterns over geological time, have had a significant impact on the global distribution of benthic shallow-water marine molluscs. Our results indicate a high level of provincialism for species, slightly less so for genera, and a polar vs. circum-temperate–tropical structure for families. The biogeographic units defined by our cluster analyses match existing ocean currents for species, while the poorer regionalisation for genus- and family-level data is the result of geologically young seaways or land bridges. Our findings evidence the importance of considering historical processes for the biogeography of modern faunas.
Transformer model with external token memories and attention for PersonaChat
Biocompatible porous PAM/CNT nanocomposite hydrogel films for sustained drug delivery and cancer therapy
BET bromodomain inhibitors attenuate transcription of a subset of IL-1-induced NF-κB targets that promote inflammation in β-cells
Next-Generation Sequencing (NGS) in non-small cell lung carcinoma: A real-world experience in the public health system of Galicia (Northwest Spain)
The validation of several predictive biomarkers has improved the clinical outcomes of non-small cell lung carcinoma (NSCLC) patients. Single tests do not cover the mutational co-occurrences, so they do not detect other alterations, which in many cases are responsible for disease progression. We describe the development and implementation of a customized next generation sequencing (NGS) panel. We analyzed 236 formalin-fixed paraffin-embedded (FFPE) NSCLC samples from the Clinical University Hospital of Santiago de Compostela (Galicia, Northwest Spain) in 2020. Detection of EGFR, KRAS, NRAS, BRAF mutations and ALK, ROS1 rearrangements were determined by real-time polymerase chain reaction (RT-PCR), immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH). These results were compared with those obtained by the NGS panel to evaluate the performance of the NGS method and to identify potential novel mutations. Ten discrepancies between NGS and the orthogonal methods were found: 2 cases in the EGFR gene, 1 in the KRAS gene, 5 in the BRAF gene and 2 in the ALK gene. The most prevalent pathogenic alterations detected by NGS were: TP53 (48.7%), KRAS (23.7%), STK11 (9.7%), EGFR (8.5%), PIK3CA (5.5%), CDKN2A (4.7%), BRAF (3.4%) and MET exon skipping 14 (3%); rearrangements were found in ALK and RET (3.5% and 1.7%, respectively). 41.5% of NSCLC patients are harbored co-occurring mutations. Our findings confirmed the robustness, sensitivity and specificity of NGS compared to conventional approaches. NGS has a role not only in the detection of actionable alterations (including concurrent mutations), but also in stratifying patients for therapy.
Eco conscious synthesis of poly(tetramethylene itaconate) emphasizing inhibitor free and solvent free sustainability
Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence
Experimental study on rheological properties of serrate discontinuity under stepwise loading
Abstract Serrate discontinuity creep and stress relaxation tests are conducted to analyze the differences and relationships between creep, relaxation, and long-term strength using the same normal stress and shear stress levels. Both the creep and relaxation curves may be classified into two different phases: decelerating and steady. However, the trend of the creep curve is opposite to that of the stress relaxation curve. Additionally, we observed that the maximum creep displacement and maximum relaxation stress increase as the slope angle increases. The energy changing properties of rocks during creep and relaxation processes are unequal, as indicated by experiment results, indicating that creep and relaxation are not equal. An empirical model has been developed for the maximal relaxation stress and the shear stress level, which provides a better fit to the experimental data. Based on the same mechanism, the long-term strength determined by the creep test and the relaxation test shows little difference and is both close to the yield strength of the stress-displacement curves during the creep and relaxation processes, respectively. This study can provide a deeper understanding of the time-dependent characteristics of discontinuities by integrating creep, relaxation, and long-term strength.
A multicenter cross-sectional study on quality of life and influencing factors in patients with 10 kinds of chronic diseases
Channa argus optimizer for solving numerical optimization and engineering problems
The effects of voltage dependence and ion-binding reaction rates on a thermodynamically constrained mathematical model of the Na/Ca exchanger
Comparative analysis of clinical characteristics of odontogenic maxillary sinus diseases associated with or without dental implants
An optimized demand response framework for enhancing power system reliability under wind power and EV-induced uncertainty
Towards a universal snake antivenom
Targeted removal of the 16S rRNA anti-Shine–Dalgarno sequence by a Mycobacterium tuberculosis MazF toxin
Novel extensions of k-harmonically convex functions and their applications in information science
Convex analysis theory has found extensive applications in optimization, information science, and economics, leading to numerous generalizations of convex functions. However, a drawback in the vast literature on convex functions is that only a limited number of these notions significantly impact practical applications. With this context, we explore a novel convexity notion known as k-harmonically convex function (k-HCF) using two approaches and present applications in information science. First, we propose an r-parameterized extension of k-HCF, broadening its applicability. Secondly, we extend this concept to interval-valued functions (IVFs), based on a complete order relation on closed bounded intervals. We then investigate properties and inequalities for both extensions to derive lower bounds for information-theoretic measures such as Tsallis entropy, Shannon entropy, and Tsallis relative entropy, using the new parametric extensions of these functions. Additionally, we prove inequalities of the Jensen, Mercer, and Hermite-Hadamard types for the Cr-order-based extension of k-HCFs. Our findings reproduce known results while introducing significant new insights into the field, showing the broader usefulness of k-HCFs in information science.