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Metaproteomics Reveals Competitive Dynamics in Co-Cultured Human Gut Microbiota
Boyan Sun
Jinhui Yuan

Boyan Sun

and 8 more

September 26, 2024
The human gut microbiome exhibits characteristics of complex ecosystems, including the ability to resist and compete with exogenous species or communities. Understanding microbiome responses to such competition is crucial, especially for fecal microbiota transplantation (FMT), where success depends on microbial interactions. During these processes, microbial communities undergo coalescence, combining and interacting in ways that lead to complex ecological outcomes. In this study, we investigated the coalescent dynamics of ten pairs of human gut microbiota through in vitro co-culturing. Metaproteomic analysis revealed that post-coalescence changes were not simply an average of the initial microbiotas but instead, both coalescent microbiotas behaved as cohesive structures, influencing the competitive outcome towards one of them.. While taxonomic similarities were observed between co-cultured communities and their parental samples, 23% of proteins showed differential expression. Interestingly, the competitive outcomes followed a “rock-paper-scissors” dynamic, with different species contributing to competition outcomes across different pairs. This highlights the complexity of microbial competition, suggesting that no single factor consistently determines dominance. Pre-co-culturing may thus be a promising method for predicting outcomes in FMT and other ecological therapies.
Behavioral phenotype and neuropsychological profile of an adult with Smith-Magenis Sy...
Edgar Andrés Chavarría-Martínez
Julen Arellano-Sandúa

Edgar Andrés Chavarría-Martínez

and 4 more

September 26, 2024
Smith-Magenis Syndrome (SMS) is an uncommon genetic disorder caused by microdeletions of chromosome 17p11.2 including the RAI1 gene, or loss-of-function mutations that directly affect RAI1. Due to the involvement of RAI1 in neurodevelopment, SMS leads to typical pathologic features in the behavioral and physical phenotype that must be recognized by clinicians
High-resolution mapping of SOC at different subsidence stages in high groundwater lev...
Lingtong Meng
Xiangyu Min

Lingtong Meng

and 8 more

September 26, 2024
Accurately estimating the spatial distribution of soil organic carbon (SOC) in coal mining regions is crucial for soil quality restoration and understanding global carbon cycling. Given the complex mechanisms influencing SOC in coal mining areas, research on the dynamic and high-precision digital analysis of SOC content before and after subsidence and reclamation in high groundwater mining sites remains limited. In this study, we employed four machine learning algorithms—Cubist, Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost)—in conjunction with a model fusion technique to analyze SOC content across various subsidence stages in high groundwater mining areas: control land (CL), subsided land (SL), and reclaimed land (RL). By integrating high-resolution imagery from China’s GF-1 satellite, we generated a predictive map of surface SOC content. Additionally, we utilized an optimal parameter-based geographical detector (OPGD) model to quantitatively identify the key factors driving SOC spatial variation within the study area. Our results indicate that the fusion model combining RF and Cubist outperformed the others, achieving a coefficient of determination (R 2) of 0.73, a root mean square error (RMSE) of 0.73 g/kg, and a ratio of performance to interquartile distance (RPIQ) of 2.50. The predictive map highlights that high SOC concentrations in the mining area are predominantly found in reclaimed lands. Organism-related factors emerged as the strongest explanatory variables for SOC content in these areas and constituted the most critical dataset in our model development. This cost-effective, high-efficiency approach offers valuable insights into SOC research and informs strategies for soil remediation in mining-affected lands.
INTRAVITREAL INJECTION OF LOW DOSE PRESERVATIVE-FREE GENTAMICIN FOR THE TREATMENT OF...
Courtleigh Watson
Kathern Myrna

Courtleigh Watson

and 1 more

September 26, 2024
Purpose . To determine the efficacy and complications of intravitreal gentamicin injection (IVGI) to treat Equine Recurrent Uveitis (ERU) in North American horses. To determine the influence of leptospirosis infection on the efficacy and the long-term complications/effects of IVGI. Methods. Forty-six cases from 2016-2022 were reviewed. Horses that met the inclusion criteria for diagnosis of ERU and received intravitreal treatment with 4mg of preservative-free gentamicin were included in the study. One follow-up examination was required to assess control of inflammation (no aqueous flare and normal intraocular pressure), visual status and complications. Leptospirosis titers and c-values were evaluated when available. Results. Forty-five eyes from 26 horses met study inclusion criteria and were included in data analysis. Only 5 eyes with pre-injection glaucoma received IVGI which failed to control/improve the glaucoma were not included in data analysis. Twenty-four of 35 eyes (69%; 95%CI 52-81) were controlled at the last follow up with the minimum follow-up between 14-30 days and maximum follow-up period of 6 years. Post injection complications included cataract formation/maturation in 14 of 36 (39%; 95%CI 25-55), retinal detachment and degeneration in 9 of 33 (27%; 95%CI 15-44). Eight horses had a Leptospira c-value available and 3/3 with a c-value <4 were controlled post injection as opposed to 2/5 with a c-value >4. Conclusions. Intravitreal injection of preservative-free low dose gentamicin effectively controls ERU. None.
Thermal Management Revolution: A Review of Spray Cooling Technologies
Nikhileshwar Vishwanathappa
Radha Vishwanathappa

Nikhileshwar Vishwanathappa

and 2 more

September 26, 2024
The review article emphasizes a single technique: Spray cooling, which is essential in diverse fields from laser treatments to humidifiers. Thus, proving its significance in modern-day research by proving it to be a perfect alternate solution as a cooling technique. The article thoroughly details single and multi-phase cooling with detailed insight into its architectural aspect, classification, and design. The article further emphasizes modeling heat transfer dynamics with a few attempts from simulations. It highlights the general mechanism of heat exchange involving arguments from the droplet level, impacted by successive generations of droplets, and the evolving thermal footprint of a hot surface to visualize cooling. Furthermore, an attempt to list out the factors involved in spray cooling, such as the nozzle characteristics, surface texture, flow rate, and spraying combinations have been discussed in detail. The later parts of the paper deal with the fundamental challenges related to the conduction of electricity, power consumption, efficient packing, corrosion, flooding, and suitable suggestions to overcome the mentioned problems. In the final part, a new enhancement has been suggested by the authors, which could, in theory, be the subsequent developmental work in spray cooling. The paper also includes summary tables relevant to the heading concepts to enhance, deepen, and help in the thorough understanding of the concepts.
Developing strategies to improve patient engagement among young people accessing ment...
Jagadeesan Settu
Sanjna Shukla

Jagadeesan Settu

and 4 more

September 26, 2024
Background Experience-Based Co-design (EBCD) is a participatory action research technique aimed at enhancing the experiences of both service users and service providers within healthcare services. Hence, the aim was to develop strategies to improve engagement of youth with mental health services being delivered at Chennai, India Method We adopted a modified EBCD method involving three phases (data collection, designing strategies and implementation) spread across six stages. Starting from stage-1 interviews with service users and providers to identify factors that may lead young service users to disengage from treatment, followed by group interactions undertaken separately with service providers and users to pinpoint key areas for improvement. This also included a co-design process with all stakeholders, where solutions were refined using SMART criteria and rated on a scale of 1-5. Finally stage involved a meeting with institution management to deliberate and decide on the plan for implementation of the generated solutions. Results Despite some challenges, EBCD was successfully implemented at Schizophrenia Research Foundation(SCARF) in Youth Mental Health Department, Chennai, India. Service users, providers, and stakeholders found it well-received. Key findings included the need for follow-up reminders and improved information sharing on mental health issues, separate space for young people and treatment plans. Empowering service users emerged as a significant benefit. Conclusion EBCD was a promising methodology for service improvement and empowering service users. It identified crucial areas for enhancement and empowered the service users by involving them in the decision-making process, ultimately contributing to improved engagement and satisfaction with mental health services.
Is there sufficient undergraduate interest in head and neck surgery to cover the futu...
Umar Rehman
Shireen Gohari

Umar Rehman

and 5 more

September 26, 2024
Objectives: In recent years there has been a significant disparity between workforce capacity and clinical demand in surgical specialities, including the discipline of head and neck surgery (HNS). Undergraduate exposure to head and neck surgery remains limited despite an increasing disease burden amid a limited workforce capacity within the NHS. We studied the interest of final-year medical students in pursuing a career in head and neck surgery with the aim of identifying associated motivating and deterring factors. Design: A cross-sectional survey study. Setting: An online survey distributed across seven United Kingdom (UK) medical schools. Participants: Final-year medical students in the UK. Main outcome measures: Level of exposure and interest in head and neck surgery, factors influencing interest in the specialty, and career aspirations were evaluated with a five-point Likert scale. Results: 66.7% (n=422) had 1-7 days exposure to HNS. Within our respondents, complex surgery (24.2%), interesting patient population (20.2%) and complex pathology (16.7%) were the main motivating factors to consider HNS. Work-life balance (23.8%), lack of exposure (31.3%) and length of training (6.5%) were the most common deterring factors. 67.1% of students had felt they had inadequate exposure to the field during undergraduate training. Conclusion: The undergraduate curriculum must place more emphasis on HNS with students shadowing HNS specialists in ENT, OMFS and Plastic Surgery (PS) to cover the breadth of the speciality. Surgical leadership, mentoring and teaching can serve as a contingency way to motivate future doctors to consider head and neck surgery as a career.
Strategies to enhance inclusion in informed consent practice for people with sensory...
Fleur O'Hare
Sujani Thrimawithana

Fleur O'Hare

and 6 more

September 03, 2025
An equitable and accessible informed consent process is needed to support people with vision and hearing disability to make independent health decisions. Research and health service providers need to make deliberate and intentional efforts to ensure that communications and information provision meet the needs of the individual. Identification and evaluation of strategies to enhance agency during informed consent procedures for people with sensory impairment is needed. This systematic review will synthesize evidence on the most effective strategies to improve information accessibility and shared decision making for people with vision and hearing impairment in informed consent practice. In doing so, this review will produce recommendations for inclusive practice and guide future work on intervention development and primary research in improving equity and inclusion in health care and clinical research.
From Harmless to Harmful: A Case Series of Hepatic Abscess Induced by Gut Microbiota...
Muhammad Nadeem Ahmad
Muhammad  Rafay

Muhammad Nadeem Ahmad

and 9 more

September 26, 2024
A document by Muhammad Nadeem Ahmad. Click on the document to view its contents.
Continuous Kidney Replacement Therapy in Children with Sinusoidal Obstruction Syndrom...
Madeleine Heyn
Emily Ashcraft

Madeleine Heyn

and 4 more

September 26, 2024
Background: Sinusoidal obstruction syndrome (SOS), a serious complication after hematopoietic cell transplant (HCT), is associated with multi-organ dysfunction (MOD) and a high mortality rate. In severe cases, continuous kidney replacement therapy (CKRT) is initiated to manage fluid overload (FO) and acute kidney injury. Studies that evaluate the use of CKRT in this population are lacking. The aim of our study was to assess the outcome of critically ill children with severe SOS post HCT who received CKRT. We also sought to assess factors associated with survival and liberation post CKRT. Procedure: Retrospective review of all children admitted to the intensive care unit (ICU) with SOS post HCT who received CKRT from January 2010 to August 2022. Results: Among the 53 children who received CKRT post HCT, 13 had severe SOS. The median age was 6 years; 62% were males, and most (77%) received allogeneic HCT. In this cohort, 92% required respiratory support and 85% required vasopressor support. The ICU survival rate was 62%. Survivors experienced lower cumulative FO on the 2 days following CKRT initiation (-4.2% in survivors versus -0.5% in non-survivors, p=0.07). Higher urine output on D1 and D2 after discontinuation of CKRT was associated with successful liberation. Conclusions: In this study of post-HCT children with SOS and MOD who received CKRT, 62% survived until ICU discharge. This survival rate is encouraging as it approximates the survival rates of general pediatric cohorts treated with CKRT. Reducing FO after initiation of CKRT can improve survival in these children.
Extending Contextual Length and World Knowledge Generalization in Large Language Mode...
Malajah Roberts

Malajah Roberts

and 4 more

September 26, 2024
Large language models have become increasingly capable of handling a wide variety of complex tasks, yet their ability to manage extended context and generalize across multiple domains of world knowledge remains limited. The novel approach outlined here significantly enhances a model's capacity to process long-form texts and integrate factual knowledge through targeted modifications to its attention mechanisms and training strategies. By incorporating sparse attention frameworks and memoryaugmented networks, the architecture is able to efficiently handle extended inputs without sacrificing performance. World knowledge augmentation, achieved through tasks such as openbook question answering and fact-checking, further improves the model's ability to generalize across diverse domains, ensuring factual accuracy and consistency in its outputs. Experimental evaluations demonstrate that the modified model not only outperforms baseline models in long-context comprehension but also achieves superior performance in cross-domain generalization tasks. The findings highlight the potential for architectural improvements to enhance both scalability and accuracy in handling complex tasks that require deep contextual understanding and the integration of structured knowledge.
Pentalogy of Cantrell: An Extremely Rare Case Report
Mpoyi Constantin
Emmanuel  Mashyaka

Mpoyi Constantin

and 3 more

September 26, 2024
Pentalogy of Cantrell: An Extremely Rare Case Report.
Mycoplasma Pneumoniae Infection and progressive cold agglutinin syndrome in a child:...
Bahareh Abtahi-Naeini
Sharareh Babaei

Bahareh Abtahi-Naeini

and 4 more

September 26, 2024
A document by Bahareh Abtahi-Naeini. Click on the document to view its contents.
Pulmonary artery intimal sarcoma successfully treated with surgery and adjuvant chemo...
Fumitaka Endo
Takeshi Iwaya

Fumitaka Endo

and 6 more

September 26, 2024
1. IntroductionPulmonary artery intimal sarcoma (PAIS) is a rare disease with a probably underestimated incidence at 0.001%–0.03% because it frequently mimics pulmonary vascular diseases, including acute pulmonary embolism 1-3. The literature reported only a few hundred PAIS cases, most of which were published as case reports4, 5. The mean age at diagnosis is 50 years and the range of age is estimated as 13–86 years 5. Several studies indicate the dismal prognosis of PAIS, especially among patients with delayed diagnosis 4-6. Standard therapies remain unestablished, but surgical resection is still the mainstay of treatment5. The effect of adjuvant chemotherapy and radiotherapy on the overall survival rate of patients has no consensus. However, the addition of chemotherapy and radiotherapy postoperatively may improve the outcome of patients with PAIS 6. Here, we report a 53-year-old female patient with PAIS who was successfully treated with surgery followed by weekly paclitaxel therapy.
Nash equilibria in cultivation of transgenic Bacillus thuringiensis crops: a stimulat...
Lingyan Zhou
Shuxian Jia

Lingyan Zhou

and 2 more

September 26, 2024
Transgenic Bacillus thuringiensis ( Bt) crops are cultivated globally to mitigate the potential pest crisis and reduce dependence on insecticide applications. Bt crops shift the triple Nash equilibria among pests, plants and soil organisms in agricultural systems to mutual equilibria between the latter two. The response of the soil system and soil organisms to Bt crop cultivation remains unclear, which limits our understanding of Bt crops’ role in agriculature sustainability. Here, we conducted a comprehensive global analysis of 88 experimental sudies to assess the effects of Bt crops on various ecosystem services, including soil CO 2 emission, soil carbon and nutrient pools, soil biodiversity, and crop biomass. Our findings indicate that Bt crops significant increased above- (14.3%), below-groud biomass (4.3%), and 6.0% rise of soil CO 2 emission. Additionally, changes in soil organic carbon (SOC), nematode diversity (ND), and fungal diversity (FD) accounted for 50%, 34%, and 30% of the variation in soil CO 2 emission under Bt crop cultivation, respectively. Notably, Bt crops had contrasting effects on rhizosphere and bulk soil, with SOC and soil total phosphorus (STP) decreasing by 3.4% and 5.1% in the rhizosphere, but increasing by 3.1% and 2.0% in bulk soil. Futhermore, Bt crops led to a significant reduction in the microbial biomass carbon: nitrogen ratio (C:N), but no changes in soil disolved C:N, suggesting a decrease in microbial nitrogen competition under Bt crop cultivation. This study highlights the altered Nash equilibria between plants and soil organisms due to transgenic crop treatments. The accelerated decomposition of rhizosphere organic matter by microbes, driven by nutrient mining, indicates a potential ecologcial risk to soil fertility from the cultivation of tansgenic crops.
Quadrotor Attitude Predefined Control
zhang bo

zhang bo

September 03, 2025
A document by zhang bo. Click on the document to view its contents.
Unveiling Stock Market Trends by Deep Learning Insights with Correction Factor and Re...
Jair O. González
Rafael A. Berri

Jair O. González

and 4 more

September 26, 2024
The understanding of financial behavior, especially its application in the stock market, has become increasingly important in recent years due to its significant impact on the global economy. One field that explores the intersection of finance and computer science to create predictive models is known as stock market prediction. This field aims to predict the behavior of various securities in the financial market. Deep Learning, one of the most renowned and utilized techniques, consists of various deep neural network structures that facilitate learning from non-linear models. In this study, we utilized open data from some of Brazil’s largest companies – Petrobras (PETR4), Itausa (ITSA4), and Vale (VALE3) – provided by BovDB, which includes stock quote data for all companies listed on the Brazilian stock market from 2000 to 2020. The data for the years in question were processed using a recurrent neural network to assess the impact of a price correction factor that accounts for the influence of past events not included in the training and validation results of the RNN model. The findings indicate a strong correlation of the model with temporal data and suggest a positive effect on reducing noise and forecast errors during model training.
A semi-looped-functional for sampled-data synchronization of delayed neural networks...
Yun-Hao An
2,3 Xing-Chen Shangguan 1

Yun-Hao An

and 4 more

September 26, 2024
This paper studies the master-slave synchronization of delayed neural networks (DNNs), utilizing a sampled-data controller that incorporates communication delay. A semi-looped-functional approach is proposed, which results in a synchronization criterion with reduced conservatism. This criterion allows for the design of a sampled-data synchronization controller for DNNs that accommodates larger sampling intervals, thus reducing communication and computation burdens. The proposed approach incorporates more cross information of states and relaxes certain constraints of the overall functional, including the negative-definite constraints on its derivatives. Additionally, the proposed functional introduces states that fully consider the nonlinear characteristics of DNNs, along with delay and sampling information. Using these states, two zero-equations are constructed to reduce the conservativeness of the criterion. Two widely used numerical examples illustrate the effectiveness and superiority of the proposed criterion.
Prescribed-Time Event-Triggered Distributed Optimization with Privacy Protection Over...
Xinli Shi
Deru Fan

Xinli Shi

and 4 more

September 26, 2024
This paper focuses on privacy-preserving distributed convex optimization across directed graphs within a prescribed time. To reduce the communication cost and achieve fast convergence, we propose a novel event-triggered and prescribed-time convergent distributed optimization algorithm built upon an extended Zero-Gradient-Sum method with free initialization. Specifically, we formulate event-triggering conditions for each agent, ensuring that inter-agent communication occurs solely upon meeting these conditions, thus significantly reducing communication costs. By the Lyapunov stability theory, the proposed algorithm is proven to achieve an accurate convergence to the optima within a prescribed time. Moreover, we establish the absence of Zeno behavior throughout any arbitrary period except the specified convergence time. When the environment exists eavesdropping attacks, we further provide a privacy-preserving prescribed-time event-triggered distributed algorithm based on state and objective decomposition. Finally, two comprehensive simulations demonstrate the performance of our proposed algorithm.
Artificial Intelligent Chatbots Achieve IQ Scores Higher than Most People
Patrick Lee

Patrick Lee

September 26, 2024
The central premise of our work is that the best way to define a concept is to lay down a procedure to measure it. Therefore, we ignored the debate on whether computers really have intelligence and brought AI chatbots to take an IQ test. The IQ score quantitatively determines whether AI chatbots are intelligent. The chatbot, Perplexity, achieves an IQ score of 136 which corresponds to a very advanced intelligence and is higher than 99.18% of the population. Currently, programming bugs are the main road block that prevents AI chatbots to fully exploit their intelligence. If the major bugs are fixed, AI chatbots will achieve even higher IQ score.
Water-Controlled Tunable Regioselective Phosphinoylation of Enaminones with H-Phosphi...
Qiang Huang
Xin Jin

Qiang Huang

and 6 more

September 26, 2024
A water-controlled regioselective phosphinoylation of enamines with H-phosphine oxides has been established through Lewis ac-id-mediated C-N bond cleavage in this work, which provides a novel strategy for accessing various geminal and vicinal phosphinoyl products 3a, 4a and 5a in high yields. The transformation features excellent functional group tolerance, operational simplicity, and high atom economy, and is amenable for phosphinoylation of complex molecule skeletons. Preliminary mechanism studies suggest the conversion from 3a to 4a and 5a involve the elimination of hydroxyl group, and water molecules play a critical role in influencing the reaction pathway and product selectivity. This research provides significant value to regioselective functionalization of enami-nones.
Atractylodimers A-D, Unprecedented Sesquiterpenoid Dimers with 6/6/5/5/5/5/6/6 and 6/...
Bei Li
Shiqi Zhou

Bei Li

and 9 more

September 26, 2024
Atractylodimers A-D (1-4), sesquiterpenoid dimers fusing a unique cage-like scaffold, were isolated from Atractylodes macrocephala. Particularly, 1 possessed a furo[2,3b]furan ring and caged 3,10-oxa-tricyclo[5.2.1.04,9]decane moiety. 4 contained a caged spiro-2,5,9-oxa-tricyclo[5.2.1.04,10]decane structure. Their structures were unambiguously established by X-ray diffraction experiments. The plausible biosynthetic pathways were proposed. 1 and 2 showed significant neuroprotective effects against serum deficiency-induced PC12 cell damage.
Non-Metallic catalysed Synthesis of Substituted 3,3-diaryloxindoles and bis(indol-3-y...
Vandana Vemulapalli
Laxmana Narra

Vandana Vemulapalli

and 3 more

September 26, 2024
Camphor sulfonic acid (CSA) is found to be a low cost, readily available and efficient non-metallic catalyst for the electrophilic substitution reaction of a substituted indole with various isatins and aryl aldehydes in 30% MeCN-H2O solvent to afford the corresponding 3,3-diaryloxindoles and bis(indol-3-yl) methanes with higher yields under room temperature. This new procedure has remarkable features such as experimental simplicity, less expensive, high conversions, good to excellent yields, shorter reaction times and simple work up procedures.
On Duality Principles and Concerned Convex Dual Formulations Applied to a Ginzburg-La...
Fabio Botelho

Fabio Botelho

September 26, 2024
This article develops duality principles applicable to some originally non-convex primal variational formulations. More specifically, we develop applications to a full complex Ginzburg-Landau system in superconductivity, including a magnetic field and respective magnetic potential. The results are obtained through basic tools of functional analysis, calculus of variations, duality and optimization theory in infinite dimensional spaces. It is worth emphasizing we have obtained convex dual variationals formulation which may be applied to a large class of similar models in the calculus of variations. Finally, in the last sections, we present a procedure for improving the convexity conditions of an originally non-convex primal formulation which is also applied to a Ginzburg-Landau type equation.
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