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Relumino mode may provide video terminal assistance for the amblyopic patients
Continuous beta-2 microglobulin–based clearance highlights superiority of high-Dose HDF over high-flux HD in predicting outcomes
Abstract Recent studies suggest that high-dose hemodiafiltration (HDF) may reduce mortality more effectively than high-flux hemodialysis (HD), though the mechanisms remain unclear. Traditional metrics such as Kt/V and convective volume do not fully capture overall dialysis efficiency. This study proposes a novel approach using circulating beta-2-microglobulin (ß2M) levels to estimate an equivalent Continuous Dialytic Clearance (eCDCß2M), reflecting an equivalent glomerular filtration rate. Using data from the FRENCHIE study, we calculated eCDCß2M and assessed its association with patient outcomes, including all-cause and cardiovascular mortality, in comparison with traditional dialysis dose metrics. Our analysis showed that HDF achieved higher treatment efficiency than high-flux HD, with a mean increase of + 1.5 ml/min in eCDCß2M. Moreover, eCDCß2M demonstrated superior predictive value for mortality risk compared to Kt/V. These findings support eCDCß2M as a meaningful and physiologically relevant measure of dialysis efficiency and adequacy. By better reflecting the continuous function of the native kidney, this approach may improve patient stratification and outcome prediction across all forms of kidney replacement treatment schedule. Further validation in independent patient cohorts is warranted.
Application of a novel metaheuristic algorithm inspired by Adam gradient descent in distributed permutation flow shop scheduling problem and continuous engineering problems
Impacts of dietary Saccharomyces cerevisiae fermentation derived postbiotic on growth performance and health status of Pacific white shrimp
Model for selective vehicle problem considering mixed fleet with capacitated electric vehicles
Investigating the performance of the fluorescent sensor g-C3N4/Fe/Cu in detecting the Tenofovir drug
Non-ergodic dissociative valence double ionization of SF6
Abstract The dissociative double ionization of sulphur hexafluoride, SF 6 , in the ionization energy range from threshold up to 48.4 eV has been examined in detail using a multiple coincidence electron-ion technique. The results are interpreted by comparison with molecular dynamics simulations, high level molecular structure calculations and with a statistical model of the ion breakdown. Comparison between the experimental breakdown pattern and the pattern derived on the basis of statistical theory indicates that the energy redistribution required for fully statistical behaviour is incomplete on the timescale of the dissociation reactions of $${\text{SF}}_6^{2 + }$$ , suggesting that the molecular size at which ergodic behaviour becomes dominant is larger for doubly and multiply charged ions than for neutral and singly ionized molecules.
Spatial metabolomics informs the use of clinical imaging for improved detection of cribriform prostate cancer
Cribriform prostate cancer (crPCa) is associated with poor clinical outcomes, yet its accurate detection remains challenging due to the poor sensitivity of standard-of-care diagnostic tools. Here, we use untargeted spatial metabolomics to identify fatty acid biosynthesis as a key metabolic pathway enriched in crPCa epithelium. We also show that imaging tumor lipid metabolism using [1- 11 C]acetate PET/CT and proton magnetic resonance spectroscopy differentiates cribriform from noncribriform intermediate-risk prostate cancers in two prospective patient cohorts. These findings support the feasibility of using clinical metabolic imaging techniques as adjunctive tools for improving crPCa detection in clinical practice, with prospective studies in larger cohorts warranted to obtain definitive results.
RETRACTED ARTICLE: Investigation of laser factors influence on strength of laser spot welding of 316 stainless steel using the designing experiments method
Machine learning detection of Gaussian steering in continuous-variable systems under data imbalance
Comparative efficacy of clindamycin phosphate with benzoyl peroxide versus clindamycin phosphate with adapalene in acne vulgaris: a systematic review and meta-analysis
Multiobjective optimization of a pressure maintaining ball valve structure based on RSM and NSGA-II
Characteristic in ground motions between the Mw7.9 Pazarcık earthquake and the Mw7.6 Elbistan earthquake in Türkiye
Advanced hybrid machine learning based modeling for prediction of properties of ionic liquids at different temperatures
Enhanced therapeutic efficacy of silibinin loaded silica coated magnetic nanocomposites against Pseudomonas aeruginosa in Combination with Ciprofloxacin and HepG2 cancer cells
Modulation of leg trajectory by transcranial magnetic stimulation during walking
Abstract The primary motor cortex is involved in initiation and adaptive control of locomotion. However, the role of the motor cortex in controlling gait trajectories remains unclear. In animals, cortical neuromodulation allows for precise control of step height. We hypothesized that a similar control framework applies to humans, whereby cortical stimulation would primarily increase foot elevation. Transcranial magnetic stimulation (TMS) was applied over the motor cortex to assess the involvement of the corticospinal tract over the limb trajectory during human walking. Ten healthy adults (aged 20–32 years) participated in treadmill walking at 1.5 km/h. TMS was applied over the left motor cortex at an intensity of 120% of the threshold to elicit a dorsiflexion of the right ankle during the swing phase of gait. Electromyographic (EMG) measurements and three-dimensional (3D) lower limb kinematics were collected. When delivered during the early swing phase, TMS led to a significant increase in the maximum height of the right toe by a mean of 34.9% ± 9.6% (21.4 mm ± 7.9 mm, p = 0.032) and knee height by 52.8% ± 14.1% (28.8 mm ± 7.7 mm, p = 0.0021) across participants. These findings indicate that TMS can influence limb trajectory during walking, highlighting its potential as a tool for studying cortical control of locomotion.
Cenozoic geoclimatic changes drove the evolutionary dynamics of floristic endemism on the Qinghai–Tibet Plateau
The Qinghai–Tibet Plateau (QTP) harbors extraordinarily high levels of biodiversity and endemism. The region is warming at a rate twice the global average, yet the evolutionary dynamics of its unique biota are poorly understood. Here, we used the endemic land plant genera of the QTP to investigate how its floristic endemism was shaped over time by Cenozoic geoclimatic changes. We first clarified that the QTP hosts 82 endemic land plant genera; we found that the origins of these endemic genera were most likely driven by ecological niche and elevation differentiation, caused by the uplift of the QTP and associated climate change. By sampling 37 land plant clades that together encompass 1,740 species, covering all 82 endemic genera, we show that QTP floristic endemism had emerged by the Early Eocene. Furthermore, the unique biodiversity of the QTP comprises a mix of indigenous elements and immigrants. Among the three subregions of the QTP (Plateau Platform, Himalaya, and the Hengduan Mountains), the processes associated with floristic endemism are asynchronous, reflecting different geoclimatic events with the Miocene as a particularly critical period. The relative contributions of in situ speciation and immigration to the unique biodiversity of the three subregions are also markedly different; in situ speciation dominated in the Hengduan Mountains, which hosts the oldest endemic components of the flora and has served as an important “pump” and “sink” of unique biodiversity. These findings provide insights into how past geoclimatic events may have shaped floristic endemism on the QTP and also have important conservation implications.