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Development of colorimetric and fluorescent closed tube LAMP assay using simplified extraction for diagnosis of Meloidogyne enterolobii in root tissues
A multifunctional quasi-solid-state polymer electrolyte with highly selective ion highways for practical zinc ion batteries
Reduced ATP turnover during hibernation in relaxed skeletal muscle
Abstract Hibernating brown bears, due to a drastic reduction in metabolic rate, show only moderate muscle wasting. Here, we evaluate if ATPase activity of resting skeletal muscle myosin can contribute to this energy sparing. By analyzing single muscle fibers taken from the same bears, either during hibernation or in summer, we find that fibers from hibernating bears have a mild decline in force production and a significant reduction in ATPase activity. Single fiber proteomics, western blotting, and immunohistochemical analyses reveal major remodeling of the mitochondrial proteome during hibernation. Furthermore, using bioinformatical approaches and western blotting we find that phosphorylated myosin light chain, a known stimulator of basal myosin ATPase activity, is decreased in hibernating and disused muscles. These results suggest that skeletal muscle limits energy loss by reducing myosin ATPase activity, indicating a possible role for myosin ATPase activity modulation in multiple muscle wasting conditions.
“MoSpec”: A customized and integrated system for model development, verification and validation
Background and objective The growing availability of patient data from several clinical settings, fueled by advanced analysis systems and new diagnostics, presents a unique opportunity. These data can be used to understand disease progression and predict future outcomes. However, analysing this vast amount of data requires collaboration between physicians and experts from diverse fields like mathematics and engineering. Methods Mathematical models play a crucial role in interpreting patient data and enable in-silico simulations for diagnosis and treatment. To facilitate the creation and sharing of such models, the CNR-IASI BioMatLab group developed the “Gemini” (MoSpec/Autocoder) system, a framework allowing researchers with basic mathematical knowledge to quickly and correctly translate biological problems into Ordinary Differential Equations models. The system facilitates the development and computation of mathematical models for the interpretation of medical and biological phenomena, also using data from the clinical setting or laboratory experiments for parameter estimation. Results Gemini automatically generates code in multiple languages (C++, Matlab, R, and Julia) and automatically creates documentation, including code, figures, and visualizations. Conclusions This user-friendly approach promotes model sharing and collaboration among researchers, besides vastly increasing group productivity.
Bio particle swarm optimization and reinforcement learning algorithm for path planning of automated guided vehicles in dynamic industrial environments
AbstractAutomated guided vehicles play a crucial role in transportation and industrial environments. This paper presents a proposed Bio Particle Swarm Optimization (BPSO) algorithm for global path planning. The BPSO algorithm modifies the equation to update the particles’ velocity using the randomly generated angles, which enhances the algorithm’s searchability and avoids premature convergence. It is compared with Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Transit Search (TS) algorithms by benchmark functions. It has great performance in unimodal optimization problems, and it gains the best fitness value with fewer iterations and average runtime than other algorithms. The Q-learning method is implemented for local path planning to avoid moving obstacles and combines with the proposed BPSO for the safe operations of automated guided vehicles. The presented BPSO-RL algorithm combines the advantages of the swarm intelligence algorithm and the Q-learning method, which can generate the globally optimal path with fast computational speed and support in dealing with dynamic scenarios. It is validated through computational experiments with moving obstacles and compared with the PSO algorithm for AGV path planning.
Red blood cell parameters as biomarkers of retinopathy of prematurity in preterm infants born before 30 weeks of gestation
Probiotic Bacillus licheniformis DSMZ 28710 improves sow milk microbiota and enhances piglet health outcomes
Cooperative integration of spatially resolved multi-omics data with COSMOS
Large emissions of CO2 and CH4 due to active-layer warming in Arctic tundra
Effects of ketamine and propofol on muscarinic plateau potentials in rat neocortical pyramidal cells
Propofol and ketamine are widely used general anaesthetics, but have different effects on consciousness: propofol gives a deeply unconscious state, with little or no dream reports, whereas vivid dreams are often reported after ketamine anaesthesia. Ketamine is an N-methyl-D-aspartate (NMDA) receptor antagonist, while propofol is a γ-aminobutyric-acid (GABAA) receptor positive allosteric modulator, but these mechanisms do not fully explain how these drugs alter consciousness. Most previous in vitro studies of cellular mechanisms of anaesthetics have used brain slices or neurons in a nearly “comatose” state, because no “arousing” neuromodulators were added. Here we tested mechanisms of anaesthetics in rat medial prefrontal cortex (mPFC) slices after bath-applying the cholinergic agonist muscarine to partly mimic an “aroused-like” state, using whole-cell patch-clamp recordings from layer 2/3 pyramidal cells (L2/3PCs). According to leading theories of access consciousness and working memory, L2/3PCs are particularly important for these cognitive functions. We found that muscarine induced long-lasting depolarising plateau potentials (PPs) and spiking following brief depolarising current injections in the L2/3PCs. After 2 hours of pre-incubation with ketamine or propofol, the muscarine-induced PPs were altered in seemingly different ways: 3 μM propofol reduced the PPs and (significantly) spiking, whereas 20 μM ketamine seemed to enhance PPs and spiking (non-significantly). Brief wash-in of these drug concentrations failed to induce such effects, probably due to insufficient equilibration by diffusion in the slices. In contrast, pre-incubation with a high dose (100 μM) of ketamine suppressed the PPs and spiking. We discuss whether the apparently different effects on PPs may possibly be related to contrasting clinical effects: ketamine causing atypical anaesthesia with vivid, “psychedelic” dreaming while propofol causes less dreaming.
Moral disengagement as mediator and guilt as moderator between cyber moral literacy and cyberbullying among late adolescents
Research on wear and grinding models of high-speed turnouts based on semi-Hertz contact
High-speed FSO-5G wireless communication system with enhanced loss compensation using high-power EDFA
Light turns tiny crystals into force sensors
Effects of seven days’ fasting on physical performance and metabolic adaptation during exercise in humans
AbstractHumans have, throughout history, faced periods of starvation necessitating increased physical effort to gather food. To explore adaptations in muscle function, 13 participants (7 males and 6 females) fasted for seven days. They lost 4.6 ± 0.3 kg lean and 1.4 ± 0.1 kg fat mass. Maximal isometric and isokinetic strength remained unchanged, while peak oxygen uptake decreased by 13%. Muscle glycogen was halved, while expression of electron transport chain proteins was unchanged. Pyruvate dehydrogenase kinase 4 (PDK4) expression increased 13-fold, accompanied by inhibitory pyruvate dehydrogenase phosphorylation, reduced carbohydrate oxidation and decreased exercise endurance capacity. Fasting had no impact on 5’ AMP-activated protein kinase (AMPK) activity, challenging its proposed role in muscle protein degradation. The participants maintained muscle strength and oxidative enzymes in skeletal muscle during fasting but carbohydrate oxidation and high-intensity endurance capacity were reduced.
Quantum memory at nonzero temperature in a thermodynamically trivial system
Conversational repairs on Reddit: Widely initiated but often uncompleted
Conversational repair has been proposed as a universal system for maintaining mutual understanding during social interactions. The repair system has been studied extensively in offline synchronous interactions (e.g., face-to-face, phone calls) and has been observed across cultures and languages. However, the prevalence of conversational repairs is unclear in online asynchronous text-based interactions. Online interactions are increasingly important for public deliberation, and it is therefore important to understand how conversational repairs manifest in different online contexts. To address this gap, we conducted two analyses of Other-initiated repairs in 25 English-language Reddit communities (subreddits), covering a diverse range of topics and communication norms. Analysis 1 examines the frequency of repair initiations across subreddits, finding them to be widespread (in every subreddit) and frequent (58.48% of interactions experience a repair initiation). Analysis 2 examines the emergence of repairs, finding that a repair initiation becomes increasingly likely the longer a comments thread progresses (Median time-to-repair = 6 turns). These results suggest that the prevalence and emergence of repair initiations in online interactions are comparable to offline contexts. However, we also find 44.80% of initiations receive no reply, precluding the possibility of a repair completion. Thus, conservatively, nearly half of the repair initiations in our data went uncompleted. This suggests that the online medium alters the way initiations are completed compared to offline interactions. We discuss the implications of this finding and avenues for future research.