Title PageIntractable epidural effusion with infection after aneurysm surgery: a case report and literature reviewEthics statementWritten informed consent was obtained from the parents for the publication of this case report. The study protocol was approved by The Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University.Declaration of conflicting interestThe authors declare that there is no conflict of interest.AcknowledgmentsWe express our gratitude to the patient’s family members for their co-operation.Funding informationNone.Author’s names and affiliations. Jiahui Liu :Huaian First People’s Hospital;Huaian,China; Email:1347217316@qq.com2. Kun Sun :Huaian First People’s Hospital;Huaian,China; Email:hayysk@njmu.edu.cn3. Jun Li :Huaian First People’s Hospital;Huaian,China; Email:skafpka@163.com4. Xiaodong Wang :Huaian First People’s Hospital;Huaian,China; Email:Wxdxa19800@126.com5.Corresponding author:Lianshu Ding , MD;Huaian First People’s Hospital;Huaian,China;223200Email: dlshu@163.comAuthor contributionsJiahui Liu: Conceptualization; data curation; formal analysis; methodology; project administration; resources; supervision; writing – original draft;Kun Sun: Conceptualization; data curation; formal analysis; methodology; project administration; resources; supervision; writing – review and editing.Jun Li: Conceptualization;data curation; resources;writing – review and editing. Xiaodong Wang: project administration; resources; supervision; writing – review and editing.Lianshu Ding: Conceptualization; data curation; formal analysis; investigation; methodology; project administration; resources; supervision; writing – review and editing.Key clinical messageThis case study presents a case of intractable epidural effusion combined with infection in a 53-year-old male following an aneurysm. The patient’s condition was refractory to conventional treatment, necessitating a high level of awareness, prompt recognition, and prompt debridement.KeywordsEpidural effusion, post-aneurysmal syndrome, subcutaneous effusion,epidural infection.IntroductionEpidural effusion following craniotomy is frequently observed in the context of cranial large bone flap surgery and cranial repair. In fact, the incidence may reach as high as 32.1% in posterior ethmoidal sinus approach surgery(1), particularly when the initial treatment is still unsatisfactory and intractable epidural effusion is considered. This latter condition is commonly referred to as subcutaneous effusion. It typically manifests between the second and fourteenth postoperative day, with an average time of appearance of 4.6 days. In clinical practice, cases of recalcitrant epidural effusion in patients with repositioned bone flaps after aneurysm clamping with concomitant infection are rare. It is therefore imperative to enhance awareness of recalcitrant epidural effusion with infection, to implement active prevention strategies and to ensure prompt treatment.

In this study, a non-typical luminescent organosilicone was synthesized through a click reaction and used as a cross-linker to cure hydroxyl-terminated dimethylsilicone oil at room temperature, followed by application as a coating on a glass surface. This organosilicone film functions effectively as a luminescent down-shifting (LDS) material. Additionally, the presence of methyl groups and voids in the structure imparts a low refractive index, allowing it to serve as an anti-reflective (AR) layer. Optical and structural analyses on organosilicone-coated glass samples were conducted, and the dual-functional layer was applied to the glass cover of a perovskite solar panel to evaluate its performance. The coating not only enhanced light transmission as an AR layer but also converted UV light into blue light, which was absorbed by the solar cell. The results indicated improved solar panel performance, particularly in short-circuit current (I sc), external quantum efficiency (EQE) in the UV wavelength range, and overall efficiency. Overall, this material is a promising candidate for solar panel applications owing to maximized UV absorption for LDS, preserved transparency of the top cover glass, and room-temperature curing, which facilitates repair of the dual-functional coating.

In modern medical practice, clinical practice guidelines (CPGs) have supported physicians with the development of treatment plans through concise recommendations based on evidence from medical research. Yet, the growing demographics of older patients with complexity and comorbidities means that there is a group of real-world patients that CPGs may not adequately cover. These guidelines, which are primarily based on randomized controlled trials (RCTs), often have restrictive inclusion criteria and hence exclude such patients in their studies, resulting in recommendations that may not be in the patient’s best interests. Hence, when treating such patients, physicians may be required to deviate from CPGs’ recommendation in order to ensure the best patient outcome. This puts doctors in a difficult ethical dilemma: whether to follow the CPGs, deviate and risk being complained of, or not treat and refer the patient for palliative care. This article explores the ethical principles and considerations involved when physicians choose to deviate from CPGs in the interest of individualised patient care. The guiding philosophy when using CPGs should be that CPGs can guide the development of treatment plans, but are not meant to direct, dictate nor restrict doctors in clinical decisions-making.

：With the continuous development and refinement of microgrid technology, the uncertainty of sources and loads has increasingly drawn attention to the safe and stable operation of microgrids. In order to address the issues of safety, stability, and optimal economic operation of microgrids, this paper establishes a two-layer microgrid economic optimization model that considers power source-load uncertainty and proposes a hybrid scenario reduction strategy based on Latin Hypercube Sampling and probability distance. In the upper-level model, the impact of various source-load uncertainty scenarios on the economic operation of microgrids is studied. In the lower-level model, the LHS-PD method is used to convert the problem into a stable situation for economic optimization. Finally, a Harris Hawk Algorithm using a hybrid strategy is proposed to solve the two-layer optimization model. Numerical comparisons with test functions have verified that the proposed algorithm has good solution accuracy and convergence speed. Simulation results have confirmed the effectiveness of the two-layer optimization model and the superiority of the algorithm in optimizing the economic operation of microgrids.

BACKGROUND: Botulinum toxin type A (BoNT-A) is widely used for its efficacy in treating a variety of neuromuscular disorders. However, data on its safety and adverse events (AEs) in real-world settings remain limited. The Food and Drug Administration Adverse Event Reporting System (FAERS) database provides an invaluable resource for evaluating the safety of BoNT-A. METHODS: We used four methods to evaluate the disproportionality of AEs associated with BoNT-A: the Reporting Odds Ratio (ROR), the Proportional Reporting Ratio (PRR), the Bayesian Confidence Propagation Neural Network (BCPNN), and the Multi-item Gamma Poisson Shrinker (MGPS). RESULTS: Among the 17,307,196 case reports in the FAERS database, there were 69,644 reports where BoNT-A was listed as the ”Primary Suspect” for AEs. AEs caused by BoNT-A affected 27 system organ classes (SOCs). Based on the four algorithms, 290 significant disproportionalities at the Preferred Term (PT) level were retained. Unexpected AEs such as skin wrinkles, hyperacusis, Guillain-Barre syndrome, mediastinitis, and infective aneurysm were identified, which are not mentioned in the product insert. CONCLUSION: This study provides an overview of AEs in the real-world use of BoNT-A, revealing its broad safety profile. Although the majority of AEs were mild to moderate, there is a need to remain vigilant for serious AEs and to monitor them in clinical practice.

The concept of feedback in evolutionary ecology and ecosystem science has a rich theoretical history that underpins our current understanding of the intricate interplay between organisms and their environments. This paper explores feedback across scales and hierarchies of biological organization, reviewing its historical context in evolutionary ecology and advocating for interdisciplinary approaches to uncover novel mechanisms. We present a conceptual framework that emphasizes the hierarchical structure of organisms embedded in multispecies communities and can help elucidate feedback mechanisms that underlie biodiversity change. Our approach simplifies the organismal complexity of individuals using a set of traits with explicit genetic architecture and environment-dependent phenotypic expression, and lifespan dynamics that are spatially-explicit and embedded in a multispecies context. Incorporating these ideas into a comprehensive simulation platform would enable researchers to unravel the intricacies of ecological and evolutionary dynamics underlying population dynamics, species interactions, and ecosystem resilience in response to environmental change.

This paper proposes a parameterized integral data-driven anti-disturbance predictive control (PIDAPC) method to stabilize the attitude takeover system of a space combination under systematic disturbances after space non-cooperative target capture. The proposed method consists of a unified identification approach for the linearized system parameters and the truncated remainder (which includes both dynamics nonlinear residual and disturbance), along with a parameterized integral predictive control method. The unified identification approach ensures accurate state predictions through basic function assumption and provides preliminary for disturbance rejection. The PIDAPC scheme governs system stability and reduces control signal chattering through the disturbance identification and rejection, while the parameterized integral operation further refines the control action. Numerical analyses examine the fitting and predictive errors concerning some key parameters. Simulations validate the stability of the PIDAPC method and demonstrate its effectiveness in control signal chattering reduction.

Recently, there has been a surge of international interest in extraterrestrial exploration targeting the Moon, Mars, the moons of Mars, and various asteroids. This contribution discusses how current state-of-the-art Earth-based testing for designing rovers and landers for these missions currently leads to overly optimistic conclusions about the behavior of these devices upon deployment on the targeted celestial bodies. The key misconception is that gravitational offset is necessary during the terramechanics testing of rover and lander prototypes on Earth. The body of evidence supporting our argument is tied to a small number of studies conducted during parabolic flights and insights derived from newly revised scaling laws. We argue that what has prevented the community from fully diagnosing the problem at hand is the absence of effective physics-based models capable of simulating terramechanics under low gravity conditions. We developed such a physics-based simulator and utilized it to gauge the mobility of early prototypes of the Volatiles Investigating Polar Exploration Rover (VIPER). This contribution discusses the results generated by this simulator, how they correlate with physical test results from the NASA-Glenn SLOPE lab, and the fallacy of the gravitational offset in rover and lander testing. The simulator, which is open-sourced and publicly available, supports trafficability analysis and facilitates principled studies into in-situ resource utilization activities like digging, bulldozing, and berming in low gravity environments.

Note: The dynamic process of sorting and accurate positioning of nanoparticle biomass in pre-defined microstructures is very important, however, this is a major obstacle to the realization of surface-sensitive nanobiosensors and practical nanobiochips.  A scalable, widespread and non-destructive trapping method based on dielectric forces is much needed for nanoparticle collection and nanobiosensing tools.  Here, we present a vertical nanogap architecture with an electrode-insulator-electrode stack structure.  Facilitate the generation of strong dielectric forces at low voltages, for precise capture and manipulation of nanoparticles and molecular assemblies, including lipid vesicles and amyloid-beta fibrillar proteins/oligomers.  Our vertical nanoplastic platform allows low-voltage nanoparticles recorded in optical dimensional designs, providing new opportunities for the fabrication of advanced surface-sensitive sensors. Nano biosensors appear to be a powerful alternative to conventional analytical techniques, as nanosensors perform highly sensitive, real-time, and high-frequency monitoring of pollutants without extensive sample preparation.  Nano biosensors can be integrated into small devices for rapid screening and monitoring of a wide range of pollutants. Since the nano biosensor is  an analytical device, used to detect a chemical substance, which  is a combination of a biological component with a physicochemical detector.  Sensitive biological element  , for example tissue, micro-organisms  , etc., component of material or biomimetic that interacts with nanoparticles.

This paper examines the provision of collective goods in response to increasing economic inequality within ethnic groups and ethnic diversity in the United States. Conventional evidence suggests that ethnic fractionalization is inversely related to public goods provision due to lower societal support for investment in public goods, driven by group loyalty and negative perceptions of minorities. However, this study challenges that view by offering alternative explanations for limited provision of public and welfare goods in the United States, based on state-level balanced panel data analyses. Two-way fixed-effect estimations indicate that ethnic fractionalization primarily affects more excludable and redistributive public goods. This influence is particularly pronounced when White prototypicality is threatened, and when there is greater socioeconomic inequality among different ethnic groups.

This short communication develops a theoretical result on the Sobolev space W 1,2 (Ω). More specifically, under the indicated hypotheses, we prove that a bounded sequence in such a space has a subsequence with the gradient converging almost everywhere to a measurable function.

Several attempts have been made to understand the population dynamics of fishery resources, such as tuna species using an integrated analysis model with multiple data sources. However, estimating absolute abundance levels in practical stock assessments remains a challenge. Close-kin mark–recapture (CKMR) methods provide information about the number of adults in a population using close-kinship pairs identified by genetic markers and statistical methods. In this study, we compared three methods for kinship identification using different algorithms in samples of wild Pacific bluefin tuna genotyped across 5,029 genome-wide single nucleotide polymorphisms in 4,108 samples. The fraRF method we developed employs pairwise identity-by-descent values as inputs for random-forest classification. The other two methods were CKMRsim and COLONY, which have been published and applied in several studies. These three methods were applied to the actual genotyping data with moderate missing genotypes, in addition to the pseudo-generated genotyping data for the simulation test. The simulation test mimicked genotyping data with physical linkage as well as genetic characteristics similar to those of actual samples. The three methods resulted in different numbers of inferred kinship pairs for both generated and actual data. Particularly for the half-sibling pairs, considerable number of false-positive and false-negative existed in the identification results. The differences in kinship identification results were interpreted based on a simulation test. This study may promote the understanding of behavior in each software when applying the software to SNP data with moderate missing genotypes as in the case of this study.

Developing new methods for synthesizing compounds incorporating both Imidazo[1,2- a]pyridines and fluoro fragments is a required technology. Herein, an expedient [3 + 3] annulation method to synthesize ring-fluorinated imidazo[1,2- a]pyridines via two consecutive C-F substitutions from readily available 1C,3N-dinucleophiles and β-CF 3-1,3-enynes is described. This protocol shows several attractive characteristics, such as readily available and inexpensive substrates, a broad range of functional groups, step and atom economy, and mild reaction conditions without any transition-metal catalysts.

Understanding how temperature affects adaptation of cell size is challenging because cell size mediates numerous physiological and ecological trade-offs. Previous work has identified physiological mechanisms that lead to decreases in cell size with warming (the temperature-size rule; TSR). However, it is unclear how ecological processes (e.g., competition, predation) combine to modify the TSR. Here, we evaluate how ecological interactions affect thermal adaptation of phytoplankton cell size. We perform an eco-evolutionary analysis of a nutrient-phytoplankton-zooplankton model. The model assumes phytoplankton experience size-dependent constraints on resource allocation that cause small cells to sacrifice investment in growth machinery, thereby reducing maximum growth rate but increasing competitive ability. We find that trophic interactions strongly impact the evolutionarily stable cell size across temperatures. Without zooplankton, cell size declines monotonically with temperature, consistent with the TSR. With zooplankton, cell size varies unimodally with temperature, due to temperature-dependent shifts in the grazer's capacity to ease nutrient competition by controlling phytoplankton biomass. Size-selective grazing does not qualitatively alter this result but can facilitate coexistence via a competition-predation trade-off. Trophic interactions therefore can produce temperature-size responses that differ qualitatively from the canonical TSR, and an understanding of how temperature affects cell size is incomplete without this ecological component.

Memory B cells (MBCs) are responsible for maintaining long-lasting functional B-cell immune responses. Little is known about the kinetics of peripheral blood (PB) SARS-CoV-2 vaccine-induced MBCs in end-stage chronic kidney disease (CKD) patients undergoing replacement therapies. We investigated this issue in this prospective, observational cohort study including 27 patients (9 females and 18 males; median age, 68.4 years, range 48-82) comprising 20 hemodialysis patients and 7 Kidney transplant recipients. SARS-CoV-2-Receptor-Binding Domain (RBD)-targeted PB-MBCs were enumerated by flow cytometry using a tetramer-binding assay after the second COVID-19 mRNA vaccine dose (Post-2D), before (Pre-3D), and after the first mRNA vaccine booster dose (Post-3D). Commercially available electrochemiluminescent immunoassays were used to measure total anti-RBD antibodies targeting an IgG against the S trimeric protein. Overall, 18/27 patients (66.6%) exhibited detectable RBD-MBC responses at Post-2D, 12/27 (44.4%) at Pre-3D, and 16/27 (59.2%) at Post-3D. RBD-MBC levels dropped non-significantly between post-2D and Pre-3D ( P=0.38). A non-significant increase in RBD-MBCs was noticed post-3D ( P=0.65). Overall, both antibody specificities displayed the same dynamics but the drop in anti-trimeric spike antibody levels between Post-2D and Pre-3D and increases post-3D were statistically significant ( P<0.001). No correlation (rho = 0.05; P=0.64) was observed between total antibodies against RBD and RBD-MBC counts. The correlation between IgG antibodies against the trimeric S protein and SARS-CoV-2 RBD-MBC counts was very weak (rho, 0.18; P=0.11). In summary, waning RBD-MBC counts Pre-3D and increases post-3D are less marked than that of anti-RBD and anti-S trimeric antibodies.

Abstract Background: Non-alcoholic fatty liver disease (NAFLD), recently re-termed as metabolic dysfunction-associated steatotic liver disease (MASLD), is a global health concern affecting approximately 25% of adults. Complications such as portal hypertension and variceal bleeding are critical to diagnose but challenging with traditional invasive methods like hepatic venous pressure gradient (HVPG) measurement and esophagogastroduodenoscopy (EGD), which are not always feasible and carry risks. Objectives: This systematic review aim to evaluate the diagnostic accuracy of non-invasive methods for diagnosing portal hypertension and variceal bleeding in patients with NAFLD/MASLD cirrhosis, comparing these methods to invasive standards. Methods: A comprehensive literature search was conducted across PubMed, Cochrane Library, Google Scholar, and ScienceDirect from January 2000 to May 2024. Studies included evaluated non-invasive diagnostic techniques for portal hypertension and variceal bleeding, compared with HVPG and EGD, focusing on adult patients with confirmed NAFLD/MASLD cirrhosis. Data extraction covered study characteristics and diagnostic accuracy metrics. The quality of studies was assessed using the QUADAS-2 tool. Meta-analyses were performed using R and Python. Results: 11 studies involving 2,707 patients met the inclusion criteria. Liver stiffness measurement (LSM) via transient elastography demonstrated high sensitivity (85%) and specificity (79%) for diagnosing clinically significant portal hypertension (CSPH) at a 20 kPa cutoff. For severe portal hypertension (SPH), LSM had a sensitivity of 81% and specificity of 85% at 25 kPa. Combining LSM with platelet count resulted in a sensitivity of 97% but lower specificity (41%) for CSPH. Spleen stiffness measurement (SSM) also showed good diagnostic performance with a sensitivity of 89% and specificity of 75% for CSPH. Conclusions: Non-invasive tests, particularly LSM and SSM, show promise in diagnosing portal hypertension and variceal bleeding in NAFLD/MASLD cirrhosis. These methods offer high sensitivity, especially in combination, supporting their use in clinical settings to potentially reduce the need for invasive procedures.

This study aimed to identify the risk factors associated with suicide attempts among college students, placing a particular emphasis on the roles played by psychological disorders (PDs) and social support. Utilizing a randomly selected sample of 5,617 students from a university in Southwest China, binary logistic regression was employed to analyze the data. The results indicated that being female, experiencing poor family relationships, and having a history of being left behind significantly increased the risk of suicide attempts. Additionally, the study uncovered a high comorbidity between PDs and suicide attempts. However, it was also found that social support serves as a vital protective factor against suicide. Consequently, the research suggests that early identification of PDs could be crucial in pinpointing students at heightened risk of attempting suicide. It underscores the significance of schools intensifying their prevention strategies by bolstering the social support network available to students.

This paper represents the components of the Smart Grid, issues regarding the implementation of Smart Grid concept and how battery energy storage systems can be used in the Smart Grid. The relationship between climate change and smart grid, distributed generation and microgrids have been discussed. There is an overview of smart meter, smart tariff, electricity generation, and demand. The battery's potential for Demand Side Management (DSM) has been explained. An extensive review of batteries has been given in terms of their use in the transmission, distribution, and residential sectors. In several segments, the electrical grids of New South Wales (Australia) and California has been discussed as case studies. Finally, some real-world Smart Grid examples have been included.

In 2013, Spain became the first country to implement large-scale solar photovoltaics (SPV) and, in 2018, the first country to have Concentrating Solar Power (CSP), which is the first global CSP accomplishment. In 2018, a cumulative total of about 7,000 MW of solar energy was installed, of which about 5000 MW was solar photovoltaic (PV) and about 2000 MW was concentrated solar power. Main target of this paper is to assess the installation of a 20MW CSP plant in SPAIN and we have found a very positive result. The paper also reviews policies and legislations regarding energy, renewable energy, environment, industry, and climate of SPAIN.

The current research was carried out to investigate blockchain application in power sector. Main objectives were to find the rules, regulations and processes of implementation of blockchain platforms in peer-to-peer transaction and to find a suitable algorithm. Various blockchain platforms have been analyzed and it was found that Ethereum platform is good enough for implementation on peer-to-peer network. Smart Contract, Blockchain Mining, Merkel Tree, Hash Computing Methods, Ring Algorithm, Solidity Language and dApps have been analyzed for implementation. Commercial relations between different traders have been explained. Regulations to control behavior of buyers and sellers have been introduced. Finally, a consensus model has been shown for applying blockchain in peer-to-peer trading market.

Abstract: Cognitive flexibility has been shown to be heavily influenced by sequential changes in the amount of reward available. When available reward remains constant, participants favor stability and are more likely to repeat tasks; when available reward changes, they favor flexibility and are more likely to switch tasks. However, past work in this area hasn’t considered what happens when the available reward is not received, e.g., when responses are too slow to receive performance-contingent rewards. If participants are mainly influenced by dynamics in available rewards (rather than outcomes), such outcomes may not affect their behavior. Alternatively, the failure to receive an anticipated reward may be treated as an aversive signal, biasing participants to shift away from the previous task. In the current study, we used EEG and pupillometry to examine the neural response during reward cues and feedback to dissociate these two possibilities. Behaviorally, we found that participants switch more after failing to receive a high reward due to a slow response than after receiving a high reward. Neurally, we found increased pupil dilation and theta power in response to slow response feedback compared to low reward feedback. Taken together, these results suggest that receiving feedback that the response was too slow increases arousal and shifts behavior to favor flexibility.

In this paper, we consider axisymmetric solutions of inhomogeneous incompressible Navier-Stokes system under Dirichlet boundary conditions in the exterior of a cylinder. We establish the global well-posedness of strong solutions and obtain uniform estimates for the gradient of the density as well as algebraic decay rates for spatial gradients of the velocity. Note that the initial density can contain vacuum states and the initial values do not need to satisfy compatibility condition.

Background: Rheumatic heart disease (RHD) patients are at high risk of neurological insults even in absence of atrial fibrillation and traditional risk factors for stroke. White matter lesions (WML) on MRI are surrogates for the same. Methods: We conducted a single center prospective study to compare the prevalence of WML among RHD patients with significant isolated mitral valve disease with and without atrial fibrillation (AF). All patients with other traditional risk factors for stroke were excluded. Results: There were 79 consecutive RHD patients with moderate to severe mitral valve disease, 64(81%) with AF. The proportion of WML in patients with sinus rhythm and AF was similar, 20% and 17.2% respectively. Among all, 14(17.7%) patients had WML. There was no significant difference in the age, proportion of gender, type of valvular lesions, rhythm, mitral valve characteristics, LA size or left atrial appendage (LAA) clot amongst patients with or without WML. None of these parameters predicted the occurrence of WML. The majority of the patients had WML in cortical regions (85.7%). Conclusions: RHD patients having significant mitral valve disease, without history of prior stroke and free of traditional risk factors, had commonly detected WML on brain MRI (17.7%). There was no difference in the prevalence of WML in patients with or without AF.

Title: Potential arrival pathway for Highly Pathogenic Avian Influenza H5N1 to Oceania