Tag: nevin manimala

Sci Rep. 2023 Nov 15;13(1):19972. doi: 10.1038/s41598-023-47359-3.

NO ABSTRACT

PMID:37968452 | DOI:10.1038/s41598-023-47359-3

Sci Rep. 2023 Nov 15;13(1):20004. doi: 10.1038/s41598-023-47036-5.

ABSTRACT

Electronic skins (e-skins) aim to replicate the capabilities of human skin by integrating electronic components and advanced materials into a flexible, thin, and stretchable substrate. Electrical impedance tomography (EIT) has recently been adopted in the area of e-skin thanks to its robustness and simplicity of fabrication compared to previous methods. However, the most common EIT configurations have limitations in terms of low sensitivities in areas far from the electrodes. Here we combine two piezoresistive materials with different conductivities and charge carriers, creating anisotropy in the sensitive part of the e-skin. The bottom layer consists of an ionically conducting hydrogel, while the top layer is a self-healing composite that conducts electrons through a percolating carbon black network. By changing the pattern of the top layer, the resulting distribution of currents in the e-skin can be tuned to locally adapt the sensitivity. This approach can be used to biomimetically adjust the sensitivities of different regions of the skin. It was demonstrated how the sensitivity increased by 500% and the localization error reduced by 40% compared to the homogeneous case, eliminating the lower sensitivity regions. This principle enables integrating the various sensing capabilities of our skins into complex 3D geometries. In addition, both layers of the developed e-skin have self-healing capabilities, showing no statistically significant difference in localization performance before the damage and after healing. The self-healing bilayer e-skin could recover full sensing capabilities after healing of severe damage.

PMID:37968442 | DOI:10.1038/s41598-023-47036-5

Ann Hematol. 2023 Nov 16. doi: 10.1007/s00277-023-05544-4. Online ahead of print.

ABSTRACT

Myeloproliferative neoplasm (MPN) usually has an adverse prognosis, progressing to acute leukemia or splanchnic vein thromboses (SVTs). Therefore, early diagnosis and intervention are significantly important. Clinically, the burden of JAK2V617F is a vital diagnostic basis, which can be detected during the early stage of MPN. Thus, an accurate and rapid detective technique is urgently required. In recent years, real-time quantitative PCR (qPCR) has primarily been applied to detect the copies of JAK2V617F, whereas droplet digital PCR (ddPCR), a novel and promising detective tool, can conduct precise and repeatable quantification of nucleic acid copies without relying on the standard curve. In our study, both qPCR and ddPCR are used to evaluate the mutation burden of JAK2V617F in a series of gradient diluted standards and clinical JAK2V617F-positive MPN patients’ bone marrow samples collected, while using next-generation sequencing technology (NGS) as a contrast. With the help of statistical methods, our study concluded that ddPCR had a better performance in accuracy, sensitivity, and stability, especially in a low burden. Regarding the accuracy, ddPCR showed a better linearity (Pearson R² = 0.9926; P < 0.0001) than qPCR (Pearson R² = 0.9772; P < 0.0001). What is more, ddPCR showed lower intra-assay and inter-assay CVs and the limit of detection (LOD) for the series of diluted standards than qPCR, demonstrating better stability and lower LOD. In a nutshell, ddPCR is a more promising technique for the detection and quantification of JAK2V617F.

PMID:37968422 | DOI:10.1007/s00277-023-05544-4

Environ Monit Assess. 2023 Nov 16;195(12):1481. doi: 10.1007/s10661-023-12096-7.

ABSTRACT

The aim of this study is to determine the forest road construction area and environmental impact area and to determine the tree injuries caused by forest road construction, the filling area covering the stand, and the distances of the trees directly affected by the tree injuries from the road axis. For this objective, a 700-m section of the forest road number 194 within the boundaries of the Alabarda Forest Management Sub-Directorate (Bolu/Turkey) was selected as the study area. The forest road environmental impact area was found by determining the rolling boundary of the backfill material with the differential global positioning system (DGPS) device. In addition, the position of the trees in this area in relation to the road and their damage conditions were determined, and wound sizes were measured. As a result of the study, the road construction impact area was 46479 m², the average spread distance of the backfill material was 50.34 m, the average distance of the damaged trees from the road was 28.25 m, and the average distance of the trees that were not damaged was 35.52 m. In addition, a total of 1477 trees were identified in the construction impact area and 427 of these trees were damaged. According to the results of the statistical analyses, a statistically significant positive correlation was determined between bark wound area and diameter. In addition, a statistically significant negative correlation was determined between the distance of the trees from the road axis and the wound area and the height of the backfill.

PMID:37968416 | DOI:10.1007/s10661-023-12096-7

Nature. 2023 Nov 15. doi: 10.1038/s41586-023-06728-8. Online ahead of print.

ABSTRACT

Three billion years of evolution has produced a tremendous diversity of protein molecules¹, but the full potential of proteins is likely to be much greater. Accessing this potential has been challenging for both computation and experiments because the space of possible protein molecules is much larger than the space of those likely to have functions. Here we introduce Chroma, a generative model for proteins and protein complexes that can directly sample novel protein structures and sequences, and that can be conditioned to steer the generative process towards desired properties and functions. To enable this, we introduce a diffusion process that respects the conformational statistics of polymer ensembles, an efficient neural architecture for molecular systems that enables long-range reasoning with sub-quadratic scaling, layers for efficiently synthesizing three-dimensional structures of proteins from predicted inter-residue geometries and a general low-temperature sampling algorithm for diffusion models. Chroma achieves protein design as Bayesian inference under external constraints, which can involve symmetries, substructure, shape, semantics and even natural-language prompts. The experimental characterization of 310 proteins shows that sampling from Chroma results in proteins that are highly expressed, fold and have favourable biophysical properties. The crystal structures of two designed proteins exhibit atomistic agreement with Chroma samples (a backbone root-mean-square deviation of around 1.0 Å). With this unified approach to protein design, we hope to accelerate the programming of protein matter to benefit human health, materials science and synthetic biology.

PMID:37968394 | DOI:10.1038/s41586-023-06728-8

Surg Endosc. 2023 Nov 15. doi: 10.1007/s00464-023-10537-5. Online ahead of print.

ABSTRACT

INTRODUCTION: Multiple laparotomies, immunosuppressive therapy, wound infection, and malnutrition are risk factors for incisional hernia development, which places inflammatory bowel disease (IBD) patients at high risk. With advances in minimally invasive techniques, this study assesses incisional hernia repair techniques and complications in the IBD population.

METHODS: A single-center, retrospective review of adults with IBD who underwent incisional hernia repair from 2008 to 2022. Complications relative to operative approach and mesh placement location were assessed using descriptive and univariate statistics.

RESULTS: Eighty-eight IBD patients underwent incisional hernia repair. Fifty-two (59.1%) were on immunomodulators and 30 (34.1%) were repaired primarily. Thirty-five (39.7%) hernias recurred, of whom 19 (33%) had mesh placed. Three (30%) occurred in onlay repairs and 16 (33%) occurred in underlay repairs. Subdivision of underlay repairs into intraperitoneal, preperitoneal and retrorectus mesh placement revealed recurrence rates of 35.1%, 50%, and 14.3%, respectively. Patients with open repair were more likely to have intraoperative bowel injury (28.6% vs 9.7%, p = 0.041) and develop postoperative seromas/abscesses (12.5% vs 0%, p = 0.001) and wound complications (17.9% vs 0%, p = 0.012) compared to laparoscopic. Seromas/abscesses developed more frequently in onlay repairs compared to underlay (40% vs 2.13%, p = 0.001). Twelve (13.6%) patients presented with postoperative small bowel obstruction (SBO), 7 (58.3%) of whom had mesh placed, and 6 (85.7%) were underlay. All SBO after underlay repair had intraperitoneally placed mesh. When comparing surgeons, hernias were more likely to recur performed by colorectal surgeons compared to hernia surgeons (63.3% vs 21.3%, p < 0.001).

CONCLUSION: In IBD patients, minimally invasive approaches lead to fewer perioperative complications compared to open. Underlay mesh placement demonstrated decreased incidence of seroma/abscess formation compared to onlay. When sub-grouped, underlay placements were similar in terms of complications. Retrorectus placement, however, had fewer recurrences and no readmissions for SBO. This suggests a minimally invasive approach or placement of retrorectus mesh may provide the optimal repair in this patient population.

PMID:37968385 | DOI:10.1007/s00464-023-10537-5

Heredity (Edinb). 2023 Nov 15. doi: 10.1038/s41437-023-00660-3. Online ahead of print.

ABSTRACT

Selective processes act on phenotypic variation although the evolutionary potential of a trait relies on the underlying heritable variation. Developmental plasticity is an important source of phenotypic variation, but it can also promote changes in genetic variation, yet we have a limited understanding of how they are both impacted. Here, we quantified the influence of developmental temperature on growth in delicate skinks (Lampropholis delicata) and partitioned total phenotypic variance using an animal model fitted with a genomic relatedness matrix. We measured mass for 261 individuals (n_hot = 125, n_cold = 136) over 16 months (n_observations = 3002) and estimated heritability and maternal effects over time. Our results show that lizards reared in cold developmental temperatures had consistently higher mass across development compared to lizards that were reared in hot developmental temperatures. However, developmental temperature did not impact the rate of growth. On average, additive genetic variance, maternal effects and heritability were higher in the hot developmental temperature treatment; however, these differences were not statistically significant. Heritability increased with age, whereas maternal effects decreased upon hatching but increased again at a later age, which could be driven by social competition or intrinsic changes in the expression of variation as an individual’s growth. Our work suggests that the evolutionary potential of growth is complex, age-dependent and not overtly affected by extremes in natural nest temperatures.

PMID:37968348 | DOI:10.1038/s41437-023-00660-3

Sci Rep. 2023 Nov 15;13(1):20000. doi: 10.1038/s41598-023-47348-6.

ABSTRACT

To understand the biological impact of alternative pre-mRNA splicing, it is vital to know which exons are involved, what protein domains they encode, and how the translated isoforms differ. Therefore, we developed a computational pipeline (RiboSplitter) focused on functional effect prediction. It builds on event-based alternative splicing detection with additional filtering steps leading to more efficient statistical testing, and with detection of isoform-specific protein changes. A key methodological advance is reading frame prediction by translating exonic DNA in all possible frames, then finding a single open reading frame, or a single frame with matches to known proteins of the gene. This allowed unambiguous translation in 93.9% of alternative splicing events when tested on RNA-sequencing data of B cells from Sjögren’s syndrome patients. RiboSplitter does not depend on reference annotations and translates events even when one or both isoform(s) are novel (unannotated). RiboSplitter’s visualizations illustrate each event with translation outcomes, show event location within the gene, and align exons to protein domains.

PMID:37968320 | DOI:10.1038/s41598-023-47348-6

Sci Rep. 2023 Nov 15;13(1):19957. doi: 10.1038/s41598-023-46379-3.

ABSTRACT

An ensemble of classifiers combines several single classifiers to deliver a final prediction or classification decision. An increasingly provoking question is whether such an ensemble can outperform the single best classifier. If so, what form of ensemble learning system (also known as multiple classifier learning systems) yields the most significant benefits in the size or diversity of the ensemble? In this paper, the ability of ensemble learning to predict and identify factors that influence or contribute to autism spectrum disorder therapy (ASDT) for intervention purposes is investigated. Given that most interventions are typically short-term in nature, henceforth, developing a robotic system that will provide the best outcome and measurement of ASDT therapy has never been so critical. In this paper, the performance of five single classifiers against several multiple classifier learning systems in exploring and predicting ASDT is investigated using a dataset of behavioural data and robot-enhanced therapy against standard human treatment based on 3000 sessions and 300 h, recorded from 61 autistic children. Experimental results show statistically significant differences in performance among the single classifiers for ASDT prediction with decision trees as the more accurate classifier. The results further show multiple classifier learning systems (MCLS) achieving better performance for ASDT prediction (especially those ensembles with three core classifiers). Additionally, the results show bagging and boosting ensemble learning as robust when predicting ASDT with multi-stage design as the most dominant architecture. It also appears that eye contact and social interaction are the most critical contributing factors to the ASDT problem among children.

PMID:37968315 | DOI:10.1038/s41598-023-46379-3

Sci Rep. 2023 Nov 15;13(1):19936. doi: 10.1038/s41598-023-47366-4.

ABSTRACT

Industrial effluents reaching to the aquatic ecosystem is one of the major causes of environmental pollution and exposure to industrial effluents containing harmful substances may be a serious threat to human health. Therefore, the present study aimed to determine the sub-lethal (1/5th of predetermined LC₅₀) impact of industrial effluents from Sundar Industrial Estate on Oreochromis niloticus with proper negative control. The physicochemical analysis of industrial effluents showed enormous loads of inorganic pollutants and exhibited high mean levels of heavy metals, Mn, Fe, Pb, Ni, Cr, Hg, As, Zn and Fe with statistically significant differences at p < 0.05. Highest level of Mn and Fe was detected in effluent’s samples as 147.36 ± 80.91 mg/L and 90.52 ± 32.08 mg/L, respectively. Exposure led to increase in serum biochemical parameters alanine aminotransferase + 25%, aspartate aminotransferase + 20% and alkaline phosphatase + 7% over control although superoxide dismutase, catalase, glutathione peroxidase and reduced glutathione significantly increased as 3.42, 2.44, 4.8 and 8 folds, respectively in metabolically active tissue brain which indicated stress caused by industrial effluents. The results concluded that industrial effluent has potent oxidative stress inducers on one hand whereas histoarchitectural and physiological toxicity causing contaminants on the other. This condition may adversely affect the health of aquatic organisms, the fish and ultimately the human beings.

PMID:37968305 | DOI:10.1038/s41598-023-47366-4