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In silico analysis of mitochondrial DNA genes: implication for conservation of Tor putitora (Hamilton, 1822)
Modeling synergy and individual effects of X-ray induced photodynamic therapy components
Optimizing saffron cormlet production through substrate composition nutrient concentration and irrigation management in soilless cultivation
Structural basis for catalysis and selectivity of phospholipid synthesis by eukaryotic choline-phosphotransferase
Oriented wide-bandgap perovskites for monolithic silicon-based tandems with over 1000 hours operational stability
Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data
Graphical models have been widely used to explicitly capture the statistical relationships among the variables of interest in the form of a graph. The central question in these models is to infer significant conditional dependencies or independencies from high-dimensional data. In the current literature, it is common to assume that the high-dimensional data come from a homogeneous source and follow a parametric graphical model. However, in real-world context the observed data often come from different sources and may have heterogeneous dependencies across the whole population. In addition, for time-dependent data, many work has been done to estimate discrete correlation structures at each time point but less work has been done to estimate global correlation structures over all time points. In this work, we propose finite mixtures of functional graphical models (MFGM), which detect the heterogeneous subgroups of the population and estimate single graph for each subgroup by considering the correlation structures. We further design an estimation method for MFGM using an iterative Expectation-Maximization (EM) algorithm and functional graphical lasso (fglasso). Numerically, we demonstrate the performance of our method in simulation studies and apply our method to high-dimensional electroencephalogram (EEG) dataset taken from an alcoholism study.
Evaluation of postoperative drainage necessity in posterior atlantoaxial fixation via intermuscular approach for odontoid fracture
Development and characterization of a surfactant responsive to redox conditions for gas recovery in foam drainage
Nanoscale characterization of space weathering in lunar samples
A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learning
Abstract Recent experimental studies in the awake brain have identified a rule for synaptic plasticity that is instrumental for the instantaneous creation of memory traces in area CA1 of the mammalian brain: Behavioral Time scale Synaptic Plasticity. This one-shot learning rule differs in five essential aspects from previously considered plasticity mechanisms. We introduce a transparent model for the core function of this learning rule and establish a theory that enables a principled understanding of the system of memory traces that it creates. Theoretical predictions and numerical simulations show that our model is able to create a functionally powerful content-addressable memory without the need for high-resolution synaptic weights. Furthermore, it reproduces the repulsion effect of human memory, whereby traces for similar memory items are pulled apart to enable differential downstream processing. Altogether, our results create a link between synaptic plasticity in area CA1 of the hippocampus and its network function. They also provide a promising approach for implementing content-addressable memory with on-chip learning capability in highly energy-efficient crossbar arrays of memristors.
Overlapping qubits from non-isometric maps and de Sitter tensor networks
AbstractThe emergence of a local effective theory from a more fundamental theory of quantum gravity with seemingly fewer degrees of freedom is a major puzzle of theoretical physics. A recent approach to this problem is to consider general features of the Hilbert space maps relating these theories. In this work, we construct approximately local observables, or overlapping qubits, from such non-isometric maps. We show that local processes in effective theories can be spoofed with a quantum system with fewer degrees of freedom, with deviations from actual locality identifiable as features of quantum gravity. For a concrete example, we construct two tensor network models of de Sitter space-time, demonstrating how exponential expansion and local physics can be spoofed for a long period before breaking down. Our results highlight the connection between overlapping qubits, Hilbert space dimension verification, degree-of-freedom counting in black holes, holography, and approximate locality in quantum gravity.
Evaluation of efficacy of GCSF in reducing neutropenia among carcinoma patients undergoing anti-cancer chemotherapy. A prospective cohort study
The use of granulocyte colony-stimulating factor (GCSF) to control febrile neutropenia (FN) caused by anti-cancer chemotherapy is well documented but it still needs to evaluated with respect to the specific type of cancer and chemotherapeutic agents. The present study evaluates the efficacy of adjunctive GCSF for treating FN after taking anticancer therapy by measuring clinical, hematological and microbiological outcomes. It is a single center study conducted at Hayatabad Medical Complex (HMC), Peshawar, Pakistan. Adult patients of both genders, suffering from different types of sarcomas and taking anticancer chemotherapy were included in the study. The study was conducted between January 2023 and January 2024. Baseline data including demographic data, medication history and hematological evaluation of all the patients was recorded at the time of enrolment. Primary outcomes of the study were the extent of absolute neutrophil count (ANC) recovery, duration and severity of neutropenia (grade IV), period to fever resolution. After the therapy (with and without adjunctive GCSF) clinical outcomes, hematological evaluation and microbiological data was compared and evaluated. All the data was statistically analyzed by SPSS (IBMS, version 20). A total number of 120 patients were investigated out of which data of 109 patients was included. Out of 109 patients, 64 (58.72%) received adjunctive GCSF therapy, and 45 (41.28%) did not receive adjunctive GCSF. Comparison of the data showed that the patients receiving adjunctive GCSF had a significant improvement ANC recovery time, better recovery of fever and patients were free of infections. This study concluded that adjunctive GCSF therapy benefits the patients undergoing anticancer treatment for different types of carcinoma.
Association between red blood cell distribution width and mortality in severe osteomyelitis patients
Serum inflammation-related proteins in a acute compartment syndrome rat model
AbstractWe aim to explore variations of serum inflammation-related proteins in an acute compartment syndrome (ACS) rat model. We collected serum from 25 healthy Sprague-Dawley rats (control group, CG) and 50 rats with tibial fractures, including 25 rats with ACS (ACS group, AG), and 25 rats without ACS (fracture group, FG). Ten samples per group were randomly chosen for proximity extension assay analysis of 92 inflammation-related proteins, and all samples were verified by enzyme-linked immunosorbent assays. Receiver-operating characteristic curve analysis was used to identify the diagnostic ability and cut-off values. Our findings showed that the levels of Il6 and Prdx5 in the FG and Il6, Prdx5, Dctn2, and Plin1 in the AG, were significantly higher than those in the CG. Notably, compared with the FG, high expression of Prdx5, Dctn2, and Plin1 was observed in the AG. Additionally, we identified 58.8764, 14.023, and 31.8730 pg/ml as the cut-off values of Prdx5, Dctn2, and Plin1 to predict ACS in rats. Similarly, the cut-off values of Il6, Prdx5, Dctn2, and Plin1 to predict ACS in healthy rats were 10.6783, 766.5879, 12.5627, and 14.3623 pg/ml, respectively. Furthermore, the combination of these proteins had the highest diagnostic accuracy. We identified Prdx5, Dctn2, and Plin1 as potential biomarkers of ACS compared with fracture in rats and revealed that combination of Il6, Prdx5, Dctn2, and Plin1 had the highest diagnostic accuracy to predict ACS compared with the healthy condition. Furthermore, the cut-off values for these biomarkers were determined, providing a new method to rapidly assess the risk of ACS and manage early targeted interventions.
Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification
Gene-editing in patient and humanized-mice primary muscle stem cells rescues dysferlin expression in dysferlin-deficient muscular dystrophy
AbstractDystrophy-associated fer-1-like protein (dysferlin) conducts plasma membrane repair. Mutations in the DYSF gene cause a panoply of genetic muscular dystrophies. We targeted a frequent loss-of-function, DYSF exon 44, founder frameshift mutation with mRNA-mediated delivery of SpCas9 in combination with a mutation-specific sgRNA to primary muscle stem cells from two homozygous patients. We observed a consistent >60% exon 44 re-framing, rescuing a full-length and functional dysferlin protein. A new mouse model harboring a humanized Dysf exon 44 with the founder mutation, hEx44mut, recapitulates the patients’ phenotype and an identical re-framing outcome in primary muscle stem cells. Finally, gene-edited murine primary muscle stem-cells are able to regenerate muscle and rescue dysferlin when transplanted back into hEx44mut hosts. These findings are the first to show that a CRISPR-mediated therapy can ameliorate dysferlin deficiency. We suggest that gene-edited primary muscle stem cells could exhibit utility, not only in treating dysferlin deficiency syndromes, but also perhaps other forms of muscular dystrophy.
Development of small molecule non-covalent coronavirus 3CL protease inhibitors from DNA-encoded chemical library screening
Nasopharyngeal carriage of Streptococcus pneumoniae among Brazilian children: Interplay with viral co-infection
Nasopharyngeal transmission of Streptococcus pneumoniae is a prerequisite for the development of pneumococcal diseases. Previous studies have reported a relationship between respiratory viruses and S. pneumoniae infections. However, there are few studies on this issue among healthy children. This study aimed to examine the relationships between these agents in healthy children from Southern Brazil. This cohort study included 229 nasopharyngeal samples collected from children aged 18–59 months at baseline. S. pneumoniae was detected using bacterial culture, whereas respiratory viruses were identified using quantitative polymerase chain reaction. A questionnaire was used at the time of sample collection and medical records were reviewed 14 days after participant inclusion. The prevalence of pneumococcal carriage was 63.7% (146/229), while respiratory viruses were detected in 49.3% (113/229) of the children. Respiratory viruses were more frequently found among pneumococcal carriers than among non-carriers (54.4% vs. 39.7%, p = 0.033). Additionally, rhinovirus (hRV) was more frequent among the pneumococcal carriers (39% vs. 21.7%, p = 0.012), and the presence of human bocavirus (hBOV) alone was associated with the absence of pneumococcal carriage (2.7% vs. 10.8%, p = 0.016). No differences were found in the frequency of pneumococcal carriage, respiratory virus detection, or the co-occurrence of clinical symptoms and diagnosis in the participants 14 days after specimen collection. Our findings revealed a positive relationship between pneumococcal carriage and respiratory virus detection, particularly for hRV. However, we did not observe a relationship between nasopharyngeal respiratory viruses and pneumococci detection during medical appointments, respiratory symptoms, or diseases. This study was one of the first investigations in Latin America to explore the relationship between respiratory viruses and pneumococcal carriage in a healthy children.