During ontogeny, the increase in body size forces species to make trade-offs between their food requirements, the conditions necessary for growth and reproduction as well as the avoidance of predators. Ontogenetic changes are leading species to seek out habitats and food resources that meet their needs. These aspects are interesting to study in the case of deep pelagic fishes, as a significant part of the community migrates vertically at night to feed in the productive surface layer, while other species remain at depth. To this end, ontogenetic changes in nocturnal habitat (vertical use of the water column) and in the type of food resources (based on stable isotopes of nitrogen) were investigated in 12 species of deep pelagic fish from the Bay of Biscay in the Northeast Atlantic. Our results revealed the existence of major differences in the ontogenetic strategies employed by deep pelagic fishes. Some species showed ontogenetic changes in both vertical habitat use and food resources (e.g. Lampanyctus crocodilus and Melanostigma atlanticum). In contrast, other species showed no ontogenetic change (e.g. Searsia koefoedi and Notoscopelus kroyeri). Some species only changed food resources (e.g. Myctophum punctatum, Arctozenus risso, and Serrivomer beanii), while others seemed to be influenced more by depth than by trophic features (e.g. Xenodermichthys copei and Argyropelecus olfersii). These results suggest that to meet their increasing energy requirements during ontogeny, some species have adopted a strategy of shifting their food resources (larger prey or prey with a higher trophic level), while others seemed to maintain their food resources but are most likely increasing the quantity of prey ingested. In addition, some species opted for a habitat change to greater depths at adult age to limit the energy expenditure associated with migration, while others continued to feed at the surface at night.

Pexidartinib is the first FDA approved drug for adult patients with tenosynovial giant cell tumor that are not amenable to improvement with surgery. In vitro data has showed pexidartinib is likely to inhibit UDP-glucuronosyltransferase (UGT) 1A1 at clinically relevant concentrations. However, the effects of pexidartinib against other UGT have not been fully characterized. Therefore, this study purpose to investigate the inhibitory effects of pexidartinib against UGT, as well as to quantitatively evaluate drug adverse reactions by UGTs inhibition. Our results indicated that pexidartinib exhibited potent inhibition of UGT1A1, 1A4, 1A6, 1A7, 1A8, 1A9, 1A10, 2B4, 2B7, and 2B15, with a range of IC 50 values of 0.97-20.02 μM. Pexidartinib displayed competitive inhibition towards UGT1A1, UGT1A6, UGT1A7 and UGT1A9, while mixed inhibited UGT2B15. The Ki,u values for them were calculated to be 4.27 ± 0.28 μM, 1.72 ± 0.12 μM, 1.67 ± 0.11 μM, 0.65 ± 0.13 μM, and 2.37 ± 0.45 μM, respectively. Co-administration of pexidartinib at the clinically approved dose (400 mg twice daily) with drugs primarily cleared by UGT1A1, UGT1A6, UGT1A7, UGT1A9, and UGT2B15 would likely result into increase of drug-drug interactions risk.

Mutations in T lymphocytes (T-cells) are informative quantitative markers for environmental mutagen exposures, but risk extrapolations from rodent models to humans also requires understanding how T-cell development and proliferation kinetics impact mutagenic outcomes. Rodent studies have shown that patterns in chemical-induced mutations in the hypoxanthine-guanine phosphoribosyltransferase (Hprt) gene of T-cells differ between lymphoid organs. The current work was performed to obtain knowledge of the relationships between maturation events during T-cell development and changes in chemical-induced mutant frequencies over time in differing immune compartments of a mouse model. A novel RTPCR based method was developed to determine the specific T-cell receptor beta (Tcrb) gene mRNA expressed in mouse T-cell isolates, enabling sequence analysis of the PCR product that then identifies the specific hypervariable CDR3 junctional region of the expressed Tcrb gene for individual isolates. Characterization of spontaneous Hprt mutant isolates from the thymus, spleen, and lymph nodes of control mice for their Tcrb gene expression found evidence of in vivo clonal amplifications of Hprt mutants and their trafficking between tissues in the same animal. Concurrent analyses of Hprt mutations and Tcrb gene rearrangements in different lymphoid tissues of control versus N-ethyl-N-nitrosourea-exposed mice permitted elucidation of the localization and timing of mutational events in T-cells, establishing that mutagenesis occurs primarily in the pre-rearrangement replicative period in pre-thymic/thymic populations. These findings demonstrate that chemical-induced mutagenic burden is determined by the combination of mutagenesis and T-cell clonal expansion, processes with roles in immune function and the pathogenesis of autoimmune disease and cancer.

It is well known that investigation on exact solutions of nonlinear fractional partial differential equations (PDEs) is a very difficult work compared with integer-order nonlinear PDEs. In this paper, based on the separation method of semi-fixed variables and integral bifurcation method, a combinational method is proposed. By using this new method, a class of generalized time-fractional thin-film equations are studied. Under two kinds of definitions of fractional derivatives, exact solutions of two generalized time-fractional thin-film equations are investigated respectively. Different kinds of exact solutions are obtained and their dynamic properties are discussed. Compared to the results in the existing references, the types of solutions obtained in this paper are abundant and very different from those in the existing references. Investigation shows that the solutions of the model defined by Riemann-Liouville differential operator converge faster than those defined by Caputo differential operator. It is also found that the profiles of some solutions are very similar to solitons, but they are not true soliton solutions. In order to visually show the dynamic properties of these solutions, the profiles of some representative exact solutions are illustrated by 3D-graphs.

Pediatric melanomas are rare and some of them may arise on giant congenital melanocytic nevi. The risk of developing melanoma on a medium-sized nevus is not clear but is thought to be very rare. Proliferative cellular nodules which mimic malignant melanoma may pose significant diagnostic challenges. We report a 9-year-old patient

A document by Peter Petros. Click on the document to view its contents.

Objective: We aimed to investigate the relationship between gene polymorphisms and the occurrence of adverse clinical events following dual antiplatelet therapy in Patients with Symptomatic Intracranial Atherosclerotic Stenosis. Methods: A total of 195 patients were enrolled, categorized into 32 cases (those with clinical adverse events) and 163 controls (without events). Genotyping of 20 SNPs from 17 genes was executed. Statistical analyses (Fisher’s exact test, logistic regression) were applied to determine associations. Results: The ITGA2 rs1126643 (C807T) and rs1062535 (G873A) polymorphisms were significantly correlated with adverse clinical events. Specifically, the mutant frequency of allele C (ITGA2 rs1126643) and allele G (ITGA2 rs1062535) was significantly higher in cases compared to controls (OR = 2.97, 95%CI = 1.702-5.172, P = 0.0001; OR = 3.27, 95%CI = 1.762-6.066, P = 0.0002, respectively). Other genotypes showed no significant differences between the groups. Conclusion: The ITGA2 C807T and G873A polymorphisms may elevate the risk of vascular events in Chinese patients. Detecting these polymorphisms may be valuable in identifying patients at risk of recurrent ischemic events.

In March 2023, over 800 researchers, clinicians, patients, survivors, and advocates from the pediatric oncology community met to discuss the progress, plans, and future priorities of the National Cancer Institute’s Childhood Cancer Data Initiative. We present here the status of the initiative’s efforts in building its data ecosystem to provide access to childhood cancer data; updates on the Molecular Characterization Initiative; plans for implementing a Coordinated National Initiative for Rare Cancers in Children and Young Adults; and efforts to establish a framework for computable consent.

Coronary-Cameral Fistula in a pediatric patient: An incidental diagnosis

This article investigates an event-triggered adaptive estimated inverse control scheme for a class of uncertain nonlinear systems with hysteresis effects, parametric uncertainties and disturbances. An online estimated inverse hysteresis compensation mechanism is developed, where an adaptive technique is employed to obtain the value of unknown hysteresis parameters. Compared with the common approaches, its biggest advantage lies in that it is not necessary to obtain the hysteresis parameters by means of experiment, which relaxes time-consuming off-line identification work.Moreover, an adaptive radial basis functions neural network (RBFNN) is utilized to approximate the unknown disturbances, whose weight coefficients along with parametric uncertainties are all estimated by the adaptive technique. Besides, the communication cost can be largely saved by introducing the relative threshold event-triggered control (ETC). Through Lyapunov analysis, the proposed controller guarantees the boundedness of all the signals and the convergence of the error signals. The results of numerical simulation illustrate the effectiveness and superiority of the developed controller.

Objective: To explore the effects of progestin-primed ovarian stimulation (PPOS) using fixed versus degressive doses of medroxyprogesterone acetate (MPA) in conjunction with letrozole (LE) in infertile women. Design: Retrospective cohort study. Setting: Tertiary-care academic medical center. Population: We studied 3173 infertile women undergoing their first IVF/ICSI treatment from 2017 to 2020. Methods: Propensity score matching (PSM) analysis was performed with 1:1 in 1068 and 783 patients who underwent a fixed dose of MPA combined with LE and a degressive dose of MPA combined with LE protocols, respectively. Main outcome measures: Incidence of premature luteinizing hormone (LH) surges and number of oocytes retrieved. Results: We created a perfect match of 581 patients in each group. The dosage of MPA, premature LH surge, progesterone (P) level and LH level on the hCG trigger day and LH level on the day after hCG trigger were significantly higher in the LE + fixed MPA group than in the LE + degressive MPA group. The E 2 level on the hCG trigger day, the duration of Gn, the number of oocytes retrieved were lower in the LE + fixed MPA group than in the LE + degressive MPA group. Conclusions: Using degressive MPA dose combined with LE could reduce the total MPA dosage and premature LH surge and increase the number of oocytes retrieved in women undergoing the PPOS protocol. Funding: National Natural Science Foundation of China (82101726) and Innovation and Entrepreneurship Training Program for students of Hubei University of Medicine (X202110929037 and S202110929032). Keywords: progestin primed ovarian stimulation, medroxyprogesterone acetate, letrozole, controlled ovarian stimulation.

Background and Purpose: Growth hormone-releasing hormone (GHRH), a 44-residue neuropeptide produced in the hypothalamus, stimulates the synthesis and release of pituitary growth hormone via binding to its cognate receptor, the growth hormone-releasing hormone receptor (GHRHR). The GHRHR belongs to Class B1 of G protein-coupled receptors (GPCRs). Class B1 GPCR peptides have been proposed to bind in a two-step model, where firstly the C-terminal region of the peptide interacts with the extracellular domain of the receptor and subsequently, the N-terminus interacts with the seven transmembrane domain of the receptor, resulting in activation. No non-peptide compounds targeting the GHRHR have been identified, despite observations indicating that it may be an effective therapeutic target due to overexpression in several disorders including prostate, breast, pancreatic and ovarian cancer, and peptide antagonists displaying promising results in many cancer models. Experimental Approach: We have utilized several computational tools to target the GHRHR and identify potential small-molecule compounds directed at this receptor. These compounds were validated in vitro using a cAMP ELISA to measure activity at the GHRHR. Key Results: In vitro results suggest that several of the novel small-molecule compounds could inhibit GHRH-induced cAMP accumulation. Preliminary analysis of the specificity/selectivity of one of the most effective hit compounds indicated that the effect was via antagonism of the GHRHR. Conclusion and Implications: We therefore report the first non-peptide antagonists of GHRHR and propose a structural basis for antagonism, which may assist in the future design of lead GHRHR compounds for treating disorders attributed to dysregulated/aberrant GHRHR signalling.

GPR84 was first identified as an open reading frame encoding an orphan Class A G protein coupled receptor in 2001. Gpr84 mRNA is expressed in a limited number of cell types with the highest levels of expression being in innate immune cells, M1 polarised macrophages and neutrophils. The first reported ligands for this receptor were medium chain fatty acids with chain lengths between 9 and 12 carbons. Subsequently a series of synthetic agonists that signal via the GPR84 receptor were identified. Radioligand binding assays and molecular modelling with site-directed mutagenesis suggest the presence of three ligand binding sites on the receptor, but the physiological agonist(s) of the receptor remain unidentified. Here, we review the effects of GPR84 agonists on innate immune cells following a series of chemical discoveries since 2001. The development of highly biased agonists has helped to probe receptor function in vitro, and the challenge remaining is to follow the effects of biased signalling to the physiological functions of innate immune cell types.

Yacoub valve-sparing aortic root replacement with a concomitant repair of Tetralogy of Fallot: a case reportJuan Wu1, MB, Qi An2, MD, Yongjun Qian2, MD, PhD1Out-patient Department, West China Hospital, Sichuan University, 37 Guoxue Lane, Chengdu, Sichuan 610041, China2Department of Cardiovascular Surgery, West China Hospital, Sichuan University, 37 Guoxue Lane, Chengdu, Sichuan 610041, ChinaCorresponding Author: Dr. Yongjun Qian, MD, PhDE-mail: qianyongjun@scu.edu.cn

Respiratory syncytial virus is associated with lower respiratory tract infections. As several types and genotypes can circulate at the same time, genomic characterisation is important for timely epidemiological control and treatment measures. In the last 6 seasons (2017-2023), 191236 nasopharyngeal swabs were processed for respiratory viruses. The incidence of RSV reached 7% in the pre-pandemic season. RSV was most frequent in children under 5 years of age (12.6%), but was also significant in those over 70 years of age (5.63%). The measures taken to control SARS-Cov2 infection were useful for RSV control and the incidence decreased to 1.8%, but caused a change in the types. Pre-pandemic, the majority circulating types were RSV-B/RSV-B/RSV-A and in pandemic it was RSV-B/RSV-B. In the last season, RSV-B and RSV-A were detected in the same proportion. Genetic characterization showed three new clades. This has been taken into account in order to take the correct measures.

Most parasite species infect multiple host species, and reciprocally, most hosts are infected by multiple parasites. This leads to complex webs of interactions that influence disease within the community, making it challenging to understand and predict disease spread within the community and epidemics. Here, we used network approaches to analyze a multi-year time series dataset that includes eight zooplankton host species (in the Daphnia and Ceriodaphnia genera) and seven microparasite species to examine patterns of cross-species transmission. These analyses suggest that parasite species varied in their ability to infect multiple host species and in which host species they most commonly infected. Three parasites (the bacteria Pasteuria ramosa and Spirobacillus cienkowskii and the oomycete Blastulidium paedophthorum) showed signatures of relatively high cross species transmission, while the others seemed more restricted. Even for the three common multihost parasites, our approach also revealed differences in patterns of potential cross species transmission. For P. ramosa, two host species, Daphnia dentifera and D. retrocurva, seem particularly likely to transmit across species; in contrast, for S. cienkowskii, no host species stands out as particularly important for cross species transmission. Additionally, these patterns matched those describing epidemic size, suggesting that infected host density may drive cross-species transmission. These results are based on observations of patterns of infection in natural communities, and therefore we cannot draw definitive conclusions about interspecific transmission in lakes. However, some of the patterns are supported by additional lines of evidence, and others point to interesting avenues for future research. Together, these findings provide additional evidence that network approaches can provide valuable insights into patterns of transmission in complex multihost-multiparasite communities in nature.

Flexible sensors is becoming the focus of research due to its very vital for intelligent products, real-time data monitoring and recording. The flat silk cocoon (FSC), as a special form of cocoon, has all the advantages of silk, which is an excellent biomass carbon-based material and a good choice for preparing flexible sensors. In this work, a flexible piezoresistive sensor was successfully prepared by encapsulating the carbonized flat silk cocoons (CFSC) using an elastic matrix polydimethylsiloxane (PDMS). The sensing performance of the material is -0.01 kPa-1. And the monitoring range can reach 680.57 kPa. It is proved that the sensor can detect human motion and has excellent durability (>2000 cycles). In addition, the sensor array for keyboard based on CFSC was explored. The sensor has low production cost, simple preparation process, sustainable and environmentally friendly, which might be expected to have potential applications in wearable devices and human computer interaction.

The immunity of public health workers: observation from two waves SARS-CoV-2 Omicron variant endemic in Guangdong province, ChinaHuan Zhang1#, Lina Yi1#, Huifang Lin1#, Lirong Zou1, Pingping Zhou1, Chumin Liang1, Lilian Zeng1, Xue Zhuang1, Zhe Liu1, Jing Lu1, Jianfeng He1, Baisheng Li1*, Jiufeng Sun1,2,3,4,5*，Runyu Yuan1*.1Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.

In recent years, penetration testing (pen-testing) has emerged as a crucial process for evaluating the security level of network infrastructures by simulating real-world cyber-attacks. Automating pen-testing through reinforcement learning (RL) facilitates more frequent assessments, minimizes human effort, and enhances scalability. However, real-world pen-testing tasks often involve incomplete knowledge of the target network system. Effectively managing the intrinsic uncertainties via partially observable Markov decision processes (POMDPs) constitutes a persistent challenge within the realm of pen-testing. Furthermore, RL agents are compelled to formulate intricate strategies to contend with the challenges posed by partially observable environments, thereby engendering augmented computational and temporal expenditures. To address these issues, this study introduces EPPTA (Efficient POMDP-Driven Penetration Testing Agent), an agent built on an asynchronous RL framework, designed for conducting pen-testing tasks within partially observable environments. We incorporate an implicit belief module in EPPTA, grounded on the belief update formula of the traditional POMDP model, which represents the agent’s probabilistic estimation of the current environment state. Furthermore, by integrating the algorithm with the high-performance RL framework, Sample Factory, EPPTA significantly reduces convergence time compared to existing pen-testing methods, resulting in an approximately 20-fold acceleration. Empirical results across various pen-testing scenarios validate EPPTA’s superior task reward performance and enhanced scalability, providing substantial support for efficient and advanced evaluation of network infrastructure security.

This paper examines several sinusoidal pulse-width modulation (SPWM) methods for single-phase H-Bridge inverters. Various SPWM strategies have been proposed in the literature up to this point. With PWM, the inverter’s output voltage can be changed, so large filters are no longer needed. The conventional and modified SPWM techniques are described in this paper. Total Harmonic Distortion (THD), switching losses, fundamental component values, and dead time losses are used to compare the effectiveness of these SPWM methods. A MOSFET-based H-bridge inverter circuit is developed to verify different SPWM methods. The design of a transformer-based filter circuit for a single-phase H-bridge inverter is also included in this study. The hardware implementation uses the Delfino TMS320F28379d digital signal processor (DSP). This article explains how to integrate MATLAB-Simulink with the TMS320F28379D DSP processor. The hardware results, as well as the programming approach, are presented in this paper.

Community assembly can change over time following variations in connectivity among habitats. Previous studies have demonstrated the influence of seasonal pulse floods on community structures by facilitating species dispersal, but the effects of short-term flash floods have been poorly investigated. We investigated fish community structures before and after a short-term flood in drainage ditches of paddy fields in the Kita River basin, Japan. The study sites were classified into three connectivity types, “Transient” (connected only during the flood, with a temporally-disappearing vertical gap between drainage ditches and downstream rivers), “Connected” (always connected, without the vertical gap), and “Disconnected” (always not connected, with the vertical gap). The abundance of Misgurnus anguillicaudatus, the only species that dispersed from paddy fields to drainage ditches, increased after the flood irrespective of the connectivity types, although the total abundance of the other species significantly increased after the flood only in the “Transient” sites. The dissimilarity of species composition between the (n-1)-th and n-th surveys at each site was consistently low in the “Connected” and “Disconnected” sites, whereas it rose just after the flood and gradually declined in the “Transient” sites. Species composition was significantly different among the connectivity types, indicating that some fish species need stable connectivity even during the non-flood period. The results showed that the short-term flood facilitated fish dispersal from paddy fields by the increased water discharge and that from downstream rivers by the temporary removal of vertical gap, emphasizing the importance of hydrological connectivity for biodiversity conservation in an agricultural landscape.

In this study, a discharge test for scaled wind turbine is performed to examine the lightning discharge characteristics of rotary wind turbines, and an observation platform is designed. Moreover, the wind turbines are subjected to discharge simulation with rod and arc electrodes, and high-speed and single-lens reflex cameras are used to observe the physical discharge process. Under the rod electrode, the downward leader is initiated first, and its length occupies a larger proportion of the discharge gap. The discharge contains multiple stepped leaders. When the gap distance is less than 4 m, the probability of occurrence of negative stepped leaders may be smaller. As the gap distance increases, the number of stepped leaders increases significantly. Under the arc electrode, the upward leader is initiated first, and its length accounts for a larger proportion of the discharge gap. With the rotation of the wind turbine, the upward leader is initiated earlier and develops more fully. Furthermore, the speed of its development does not differ significantly. The discharge simulation process under the arc electrode is similar to natural lightning strikes on wind turbines.

In this paper we introduce a natural method for producing both refraction and reflection caustics in backward path tracing (e.g. bouncing around an eye ray in the scene until a light is found). These caustics do not rely on a light location, and as such, do not rely on bidirectional or forward path tracing. As such, these caustics allow for as many light sources as one would care for; the shapes and positions of the lights are completely arbitrary (can be bunny shaped, etc). We use the standard Cornell box for testing the backward path tracer.

Background: Nilotinib is a leukemia drug that can treat imatinib tolerance. During the drug trial, some adverse reactions of nilotinib have been proposed, and some articles have mentioned that nilotinib may have cardiovascular-related ADR signals. However, there is no systematic and comprehensive analysis of the potential ADR of nilotinib. AIM: The purpose of this study is to use the FDA adverse event reporting system (FAERS) database to detect the potential adverse event signals of nilotinib. Method: Data from the first quarter of 2015 to the fourth quarter of 2022 were selected for analysis from in the FAERS database. Use the preferred term in the Management activity Medical Dictionary (version 24.0) to extract cases of adverse events. The reported odds ratio (ROR) and information component (IC) methods based on statistical shrinkage transformation were used for disproportional analysis. Results: There were 24,451 adverse events associated with nilotinib in 11,190,626 records.A total of 529 positive signals of adverse reactions were found in taking nilotinib. Peripheral arterial occlusive disease (〖ROR〗_025=41.74 〖IC〗_025=5.36), Arteriosclerosis(〖ROR〗_025=33.49 〖IC〗_025=5.04), Intermittent claudication (〖ROR〗_025=32.12 〖IC〗_025=4.96), Splenitis (〖ROR〗_025=29.18 〖IC〗_025=4.79), Peripheral vascular disorder (〖ROR〗_025=27.00 〖IC〗_025=4.72), Peripheral artery stenosis (〖ROR〗_025=26.95 〖IC〗_025=4.96), Carotid artery stenosis (〖ROR〗_025=22.94 〖IC〗_025=4.48) had the strongest signal intensities. Conclusion: This study found that patients with leukemia taking nilotinib may have adverse reactions such as arteriovenous adverse reactions, myocardial infarction, splenitis, intermittent claudication and so on. KEYWORDS Disproportionate analysis, Nilotinib, FAERS database, pharmacovigilance study, CML