263134 research outputs found
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Spraak-brein-computer-interface gebaseerd op menselijke intracraniale registraties
No full textTechnology that decodes intended speech from brain activity directly could be used to bypass the impaired neural pathways of patients that are unable to vocalize speech. Initial attempts have returned impressive results when decoding brain activity during performed or perceived speech. However, to serve the needs of the speech-impaired one should aim for non-vocalized speech, also called imagined speech. A promising strategy is to transfer knowledge between speech modalities, as they share brain regions, to arrive at imagined speech decoding. This was also the objective of the proposed project. High quality neural responses were recorded directly from the cortical surface using electrocorticography and, unlike previous studies that employed only high frequency rhythms, the whole frequency spectrum is used to predict the intended speech. A proof-of-concept application was developed in which imagined speech was detected and decoded. This project aims to contribute to assistive technology to improve the quality of life of speech-impaired patients.status: Publishe
Research on 3D tooth flank topography of face-hobbed spiral bevel gears incorporating dynamic characteristics of machine tool
No full textCutting vibrations greatly influence the topography of the tooth flank and, in turn, the performance of spiral bevel gears. However, few studies have explored the tooth flank topography of face-hobbed spiral bevel gears, considering cutting vibrations, due to their complex geometrical features. This research fills this gap by thoroughly examining the principles of tooth formation for face-hobbed spiral bevel gears affected by cutting vibrations, using an efficient vectorization method based on gearing theory. The study highlights how cutting vibrations and the overall structural dynamic characteristics of the machine tool impact the tooth flank topography. It calculates the normal deviation between the machined tooth flank affected by cutting vibrations and the ideal tooth flank to predict the topography. Additionally, a data visualization technique is used to simulate the surface texture, followed by an image recognition method to verify the effectiveness and feasibility of the proposed tooth flank simulation. Ultimately, it was found that the relationship between the tooth passing frequency of cutting velocity and the natural frequency of the machine tool significantly influences the surface texture, mean value, maximum value, and variance of the machined tooth flank deviation. Notably, A lower tooth passing frequency of cutting velocity leads to a wider bandwidth of ghost order frequencies caused by tooth f lank waviness.sponsorship: This research was supported by the National Natural Science Foundation of China (Grant No. 52205508) , Natural Science Foundation of Hunan Province (Grant No. 2025JJ60370, 2023JJ30147) , Key R & D Projects in Hunan Province (Grant No. 2023GK2091, 2023ZK1050) , and Projects of Hunan Provincial Department of Education (Grant No. 24C0891) . (National Natural Science Foundation of China|52205508, Natural Science Foundation of Hunan Province|2025JJ60370, Natural Science Foundation of Hunan Province|2023JJ30147, Key R & D Projects in Hunan Province|2023GK2091, Key R & D Projects in Hunan Province|2023ZK1050, Projects of Hunan Provincial Department of Education|24C0891)status: Publishe
A review of current research and development for mechanical ventilation systems in poultry houses
No full textMechanical ventilation (MV) system in poultry houses plays a crucial role under intensive farming condition, effectively mitigating overheating, overcooling, excessive humidity, air pollution and airborne pathogens. Investigating MV system in poultry houses involves identifying and analyzing various ventilation strategies, auxiliary cooling and heating systems and ventilation controllers, as well as evaluating their impact on environment and energy efficiency. However, a comprehensive and systematic review focusing specifically on poultry house ventilation systems is still lacking, highlighting the need for an in-depth investigation in this field. The reviewed studies were classified into three major aspects: (1) an overview of MV strategies aimed at maintaining thermal comfort and promoting wet litter drying, including analysis of their advantages, limitations, and possible improvements; (2) evaluation of energy-efficient auxiliary cooling and heating systems; (3) comparison of environmental controllers in terms of control accuracy and energy use. This study emphasizes that ventilation design should account for climatic conditions, building types, and geographical factors, as well as biological variables such as bird type, age, and production schedule. For the research methods, computational fluid dynamics should be coupled with poultry thermoregulation model, and more realistic full-sale experiments are needed to obtain representative data. Furthermore, advanced control approaches, including model predictive control and reinforcement learning should be developed. These aspects are essential for future advancements, particularly in developing integrated, energy-efficient, and adaptive ventilation systems for sustainable poultry production.
Abbreviations:ARV, Air recirculation ventilation; CP, Cooling pads;CV, Crossing ventilation; DEC, Direct evaporative cooling; DPIEC, Dew-point indirect evaporative cooling; EAHE, Earth-to-air heat exchangers; C, Fogging cooling; FLC, Fuzzy logic control; GSHP, Ground source heat pump; HRV, Heat recovery ventilation; IEC, Indirect evaporative cooling; LADV, Localised air distribution ventilation; LCC, Life cycle cost; LCE, Life cycle emission; M−cycle EC, Maisotsenko-cycle evaporative cooling; MPC, Model predictive control; MV, Mechanical ventilation; PID, Proportional-integral-derivative; SC, Sprinkling cooling; SSV, Single-side ventilation; TV, Tunnel ventilation; UADV, Upward airflow displacement ventilation.sponsorship: This research was financially supported by the China Scholarship Council (CSC No.202308370169) under the National Government Study Abroad Program. (China Scholarship Council (CSC) under the National Government Study Abroad Program|202308370169)status: Publishe
Understanding the effect of pH on structure formation in high moisture extrudates produced from soy protein-dietary fiber blends
No full textsponsorship: VLAIO|HBC.2019.2907, Fonds Wetenschappelijk Onderzoek|V439824N, Fonds Wetenschappelijk Onderzoek|1224123Nstatus: Publishe
Evaluating the long-term efficacy of policy reforms in the aftermath of the pandemic
No full textThis chapter discusses the long-term efficacy of policy reforms implemented in the aftermath of the COVID-19 pandemic, with a focus on their impact on education. As the pandemic has been shown to have significant short-term impacts, many countries implemented policies to counteract the pandemic. Given the significant resources devoted to them, it is important to measure their impact in the long term. In this chapter, we outline various research methodologies that allow us to evaluate the long-term efficacy of the policy reforms. Moreover, we review different data sources, including survey and administrative data. The chapter concludes with several policy recommendations to enhance the long-term efficacy of educational reforms. These include establishing comprehensive data collection systems, designing targeted interventions for disadvantaged groups, leveraging technology for cost-effective solutions, engaging the private sector, investing in professional development for educators, and implementing robust frameworks for policy evaluation and adaptation. By adopting these recommendations, policymakers can support the recovery and resilience of education systems, addressing the persistent learning losses and socio-emotional challenges faced by students in the aftermath of the pandemic.status: Published onlin
The telomerase vaccine UV1 combined with ipilimumab and nivolumab versus ipilimumab and nivolumab in advanced melanoma (INITIUM): A randomized open-label phase 2 study
No full textstatus: Accepte
NKX2-1 regulates cell survival, maturation, and DNA-damage responses as a cofactor of RUNX1 in T-cell acute lymphoblastic leukemia.
No full textT-cell acute lymphoblastic leukemia (T-ALL) is characterized by ectopic expression of transcription factors, including NKX2-1, which is overexpressed in 5% of patients. NKX2-1 is associated with a cortical immunophenotype and drives metabolic addiction to the serine/glycine synthesis pathway in T-ALL. However, a complete picture of the role of NKX2-1 in T-ALL pathogenesis is missing. We characterized a CRISPR-Cas9 NKX2-1 knockout model of RPMI-8402, the only known NKX2-1-expressing T-ALL cell line, and validated obtained results in patient samples. NKX2-1 knockout caused a less mature immunophenotype and promoted cell cycle progression, in line with direct transcriptional repression of CDK6 by NKX2-1 that we observed. Furthermore, NKX2-1 protected T-ALL cells from apoptosis and DNA damage. The NKX2-1 protein directly bound DNA repair factors, such as RPA1 and RPA2, and presence of NKX2-1 resulted in differential expression of gene sets related to DNA damage repair in RPMI-8402 cells and patient samples. Furthermore, NKX2-1 positive cells showed less induction of DNA damage and apoptosis upon treatment with etoposide, a DNA damaging chemotherapy agent that is clinically used to treat T-ALL. Mechanistically, our data supported that RUNX1 is an important co-factor for NKX2-1 transcriptional regulation in T-ALL cells, and that NKX2-1 modulated the composition of RUNX1 protein complexes. Notably, NKX2-1 expressing cells showed higher sensitivity towards RUNX1 inhibition, suggesting a cooperative role in regulating T-ALL cell survival. This work reveals a critical role of NKX2-1 in enhancing T-ALL cell survival through DNA damage protection, and identifies RUNX1 as an important cofactor in T-ALL pathogenesis.status: Published onlin
Evaluating Organotrophic Risk Factors, Time to Development, and Outcomes of Solitary Brain Metastasis After Esophagectomy: A Multicenter Cohort Study
No full textINTRODUCTION: Brain metastases following esophagectomy for cancer are rare but can greatly affect quality of life. To date, risk factors for, time to development of, and treatment strategies for brain metastasis are not well defined. METHODS: Consecutive patients treated with esophagectomy for clinical stage I-IVA esophageal cancer from 2010 to 2021 across five centers were included. Logistic regression analyses were performed to identify risk factors for development of solitary brain metastases. Overall survival was assessed using Kaplan-Meier analysis. RESULTS: Of 3191 included patients, 91 (2.9%) developed solitary brain metastasis. Multivariable analysis identified increasing clinical nodal stage, adenocarcinoma (adjusted odds ratio [aOR] 4.00; 95% confidence interval [CI] 1.91-10), neoadjuvant chemoradiotherapy (aOR 2.18; 95% CI 1.19-4.28), and adjuvant therapy (OR 2.48; 95% CI 1.10-5.18) as risk factors for developing solitary brain metastases. Complete pathological responders were more likely to develop brain metastases than distant metastases (aOR 2.43; 95% CI 1.23-4.55). Patients with early solitary brain metastasis had the worst median overall survival (4.4 months, 95% CI 2.2-17) compared with classic (11 months, 95% CI 8.3-18) or late (7.4 months, 95% CI 2.1-not reached) (p = 0.20). Treatment involving surgery combined with radiation (adjusted hazard ratio [aHR] 0.10; 95% CI 0.05-0.20) resulted in better median overall survival (18 months, 95% CI 13-26) than did radiation (aHR 0.20; 95% CI 0.11-0.36) (10 months, 95% CI 6.1-14) or best supportive care (1.3 months, 95% CI 0.39-2.8) (p < 0.001). CONCLUSION: After esophagectomy for cancer, nodal involvement, adenocarcinoma, neoadjuvant and adjuvant therapy, and complete pathologic response appear to be risk factors for developing solitary brain metastases. Survival of selected patients with solitary brain metastasis is possible, especially if they are able to undergo surgery combined with radiation therapy.status: Accepte
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
No full textsponsorship: Horizon Europe: 6GTandem|101096302, Horizon Europe: Sustain-6G|101191936status: Published onlin