Potential Technique Research Articles

Comprehensive study of CeO2/CuFe2O4 nanocomposites: Structural, EPR, magnetic, electrochemical, and cytotoxicity properties

This study dives into the successful synthesis of CeO2/CuFe2O4 nanocomposites using the auto-combustion approach and elucidates their characteristics. The electrochemical analysis of samples calcination produced at 700 °C (CeO2/CuFe2O4) revealed good results, with a specific capacitance (Cs) of 123 F/g at a current density (CD) of 0.25 A g−1 in a 1 M KOH solution. Significantly, these findings emphasize the established technique's potential for producing new, highly active, flexible, and environmentally friendly substrate materials appropriate for a variety of applications in supercapacitors. CeO2/CuFe2O4 nanocomposites may be useful in biological and medicinal research. Despite their extensive use, little study has been conducted to investigate their possible impact on cell viability, in normal cell lines. The positive benefits of the CeO2/CuFe2O4 nanocomposite structure were assessed using X-ray diffraction (XRD). To assess the impact of these nanocomposites, MTT cytotoxicity tests were performed on normal (mouse muscle fibroblast - BLO-11) cell lines. The results show that CeO2/CuFe2O4 nanocomposites have a high potential for biomedical applications, as they had no harmful effects on the cell types evaluated. As a result, the structure of the material appears to be crucial in determining both electrochemical performance and cell longevity. This discovery is significant because it provides useful insights into the morphological engineering of electrodes for a variety of applications and influences future material development.

Reconstructing infant mortality in Iberian Iron Age populations from tooth histology

The Neonatal Line (NNL) of the tooth serves as a unique identifier, allowing us to distinguish whether a child survived birth. This line is essential for assessing the age at death of infants from skeletal remains found in archaeological contexts. Our primary objective is to accurately determine the age of infant intramural inhumations from the Iberian Iron Age (8th-1st centuries BC) by analyzing histological sections of tooth germs. Due to their fragility and high susceptibility to taphonomic factors, these samples are challenging to handle. By accurately assessing their age, we aim to classify individuals into various stages of infant mortality, which will help reconstruct infant mortality patterns in these populations.We analyze unerupted and still-forming crown deciduous teeth from 45 infant burials. By calculating Crown Formation Time (CFT) and identifying the NNL, we determine both gestational and chronological ages. We further validate the reliability of NNL identification through Synchrotron X-ray Fluorescence (SXRF) elemental analysis (Ca, Zn, Cu) on two contemporary and two archaeological samples.Our histological study reveals the chronological age of 38 infants from Iberian settlements, ranging from the 30th week of gestation to the 2nd postnatal month. The age distribution shows an attritional mortality pattern, with nearly half experiencing perinatal mortality, including preterm births. These findings support the hypothesis that mortality was primarily attributed to natural causes. Our research enhances the understanding of infant life history events in prehistory by combining histological analysis of tooth NNL and CFT, highlighting the technique's potential and limitations.

Intraoperative ultrasound-guided paediatric urological surgery: a pictorial review.

Intraoperative ultrasound is described widely in multiple pathological scenarios in adult practice and in image-guided interventions in children. We aim to describe the technique and range of potential uses of intraoperative ultrasound in paediatric urological surgery, from outlining the process of case selection, preparation, and logistics to demonstrating the ranging benefits of real-time, high spatial resolution ultrasound during resection. At our centre, we use intraoperative ultrasound to assist in a variety of operations. These include guiding excision margins in nephron-sparing surgery, assessing for vascular infiltration in renal tumours, and identifying salvageable testicular tissue in orchidectomy. By exhibiting these scenarios, we hope to display the unique value that intraoperative ultrasound can have to the paediatric surgeon and inspire additional uses further afield.

Sequence-encoded Spatiotemporal Dependence of Viscoelasticity of Protein Condensates Using Computational Microrheology.

Many biomolecular condensates act as viscoelastic complex fluids with distinct cellular functions. Deciphering the viscoelastic behavior of biomolecular condensates can provide insights into their spatiotemporal organization and physiological roles within cells. Though there is significant interest in defining the role of condensate dynamics and rheology in physiological functions, the quantification of their time-dependent viscoelastic properties is limited and mostly done through experimental rheological methods. Here, we demonstrate that a computational passive probe microrheology technique, coupled with continuum mechanics, can accurately characterize the linear viscoelasticity of condensates formed by intrinsically disordered proteins (IDPs). Using a transferable coarse-grained protein model, we first provide a physical basis for choosing optimal values that define the attributes of the probe particle, namely its size and interaction strength with the residues in an IDP chain. We show that the technique captures the sequence-dependent viscoelasticity of heteropolymeric IDPs that differ either in sequence charge patterning or sequence hydrophobicity. We also illustrate the technique's potential in quantifying the spatial dependence of viscoelasticity in heterogeneous IDP condensates. The computational microrheology technique has important implications for investigating the time-dependent rheology of complex biomolecular architectures, resulting in the sequence-rheology-function relationship for condensates.

Post-printing surface modification and functionalization of 3D-printed biomedical device.

3D printing is a technology well-suited for biomedical applications due to its ability to create highly complex and arbitrary structures from personalized designs with a fast turnaround. However, due to a limited selection of 3D-printable materials, the biofunctionality of many 3D-printed components has not been paid enough attention. In this perspective, we point out that post-3D printing modification is the solution that could close the gap between 3D printing technology and desired biomedical functions. We identify architectural reconfiguration and surface functionalization as the two main post-3D printing modification processes and discuss potential techniques for post-3D printing modification to achieve desired biofunctionality.

Atomic Depth Image Transfer of Large-Area Optical Quartz Materials Based on Pulsed Ion Beam.

The high-efficiency preparation of large-area microstructures of optical materials and precision graphic etching technology is one of the most important application directions in the atomic and near-atomic-scale manufacturing industry. Traditional focused ion beam (FIB) and reactive ion etching (RIE) methods have limitations in precision and efficiency, hindering their application in automated mass production. The pulsed ion beam (PIB) method addresses these issues by enhancing ion beam deflection to achieve high-resolution material removal on a macro scale, which can reach the equivalent removal resolution of 6.4 × 10-4 nm. Experiments were conducted on a quartz sample (10 × 10 × 1 mm) with a specific pattern mask using the custom PIB processing device. The surface morphology, etching depth, and roughness were measured post-process. The results demonstrated that precise control over cumulative sputtering time yielded well-defined patterns with expected average etching depths and surface roughness. This confirms the PIB technique's potential for precise atomic depth image transfer and its suitability for industrial automation, offering a significant advancement in microfabrication technology.

Modified median quartile double ranked set sampling for estimation of population mean

Environmental monitoring and assessment aim to gather data economically, without bias, using efficient and cost-effective sampling methods. One such traditional method is Ranked Set Sampling (RSS), often employed to achieve observational economy. This article introduces an innovative two-stage sampling approach for ranked set sampling (RSS) to get a more precise estimate of the population mean. Modified Median Quartile Double Ranked Set Sampling (MMQDRSS) highlights the ranked base technique's potential as a cost-effective sampling method. To evaluate the performance of the proposed estimator by using real-life data and conducting a simulation study to compare the relative efficiency of the proposed estimator with some existing methods.

Electroless Ionization Mass Spectrometry Using a Compact Electrokinetic Ionization Source.

We introduce a new ionization technique for compact, portable mass spectrometers. It consists of a syringe with sample liquid capped by a self-ionizing spray nozzle containing a microfabricated nozzle chip. Interaction of the sample liquid with the nozzle wall results in electrical charging without the need for electronics. Elaborate cleaning procedures are redundant when disposable syringes and mass-fabricated spray nozzles are used. This self-named electroless spray ionization (ELI) technique shows comparable performance to conventional ionization techniques. In contrast to commonly used electrospray ionization, ELI exhibits excellent ionization efficiency for low-conductive solutions such as water or acetonitrile. Due to its compact size and the absence of high-voltage electronics, it can also be readily integrated in other ionization sources. Besides reviewing the main properties of ELI, we showcase the technique's potential for two on-site, ambient mass spectroscopy applications: perfume fingerprinting and fast screening of fungicides on citrus fruits.

Evolution of the Surgical Net.

The surgical net technique, originally conceptualized to mitigate postoperative hematomas, has evolved into a versatile tool, transcending its initial purpose, and signaling a new era of surgical innovation. This article provides a comprehensive overview of the surgical net's journey from a targeted solution to a multifaceted surgical asset and explores its burgeoning applications, challenges, and future trajectories. Despite early reluctance due to anatomical concerns and unfamiliarity with the novel technique, the surgical net's consistent success in various surgical contexts from facial surgeries to gynecological applications has catalyzed its widespread global adoption. The technique's integration of the progressive tension method and enhanced skin redraping capabilities underscores its contribution to optimal aesthetic outcomes and improved surgical control. Noteworthy is its role in the innovative concept of gliding surgery, marked by procedures like the gliding brow lift and Glidelift, demonstrating the surgical net's adaptability and effectiveness in diverse surgical environments.Contributions from international surgeons have expanded its applications to areas like axillary space obliteration after breast implant, postmastectomy closure, and the management of postpartum hemorrhage, showcasing the surgical net's global impact and universal commitment to optimizing surgical outcomes. The article delves into the anatomical considerations essential for adapting the surgical net technique to various surgical contexts, emphasizing the need for continuous research, clinical trials, and multidisciplinary collaboration to navigate emerging challenges and ensure its sustained efficacy and safety.In conclusion, the article highlights the surgical net technique's unwavering potential for further advancements, greater procedural efficiency, and the continued elevation of patient care standards. The consistent evolution of its applications, paired with a dedicated approach to addressing emergent challenges, reinforces the surgical net's enduring contribution to surgical innovation and global patient welfare.

A promising approach for quantifying focal stroke modeling and assessing stroke progression: optical resolution photoacoustic microscopy photothrombosis.

JOURNAL/nrgr/04.03/01300535-202507000-00025/figure1/v/2024-09-09T124005Z/r/image-tiff To investigate the mechanisms underlying the onset and progression of ischemic stroke, some methods have been proposed that can simultaneously monitor and create embolisms in the animal cerebral cortex. However, these methods often require complex systems and the effect of age on cerebral embolism has not been adequately studied, although ischemic stroke is strongly age-related. In this study, we propose an optical-resolution photoacoustic microscopy-based visualized photothrombosis methodology to create and monitor ischemic stroke in mice simultaneously using a 532 nm pulsed laser. We observed the molding process in mice of different ages and presented age-dependent vascular embolism differentiation. Moreover, we integrated optical coherence tomography angiography to investigate age-associated trends in cerebrovascular variability following a stroke. Our imaging data and quantitative analyses underscore the differential cerebrovascular responses to stroke in mice of different ages, thereby highlighting the technique's potential for evaluating cerebrovascular health and unraveling age-related mechanisms involved in ischemic strokes.

Demonstration of proton acceleration using laser-driven EMP field in dispersion-free slow wave tube

We demonstrate the laser-driven post-acceleration experiment, utilizing a miniature slow-wave structure. Experiments on a terawatt laser system showed a significant increase in proton cutoff energy, highlighting the technique's potential, especially for high-power laser systems. The slow-wave structure consists of a helix and a shielded metallic shell covered on the outside. The transmission properties of electromagnetic pulses (EMPs) generated by laser–foil interactions along the structure are studied. Through an electromagnetic field perspective, we derived dispersion relations for helices with and without metallic shield. Our findings, supported by theory, simulations, and experiments, demonstrate the structure's ability to transmit high-frequency EMPs with limited dispersion.

Green synthesis of N, B co-doped TiO2 nanoparticles with enhanced photocatalytic and antioxidant activities

BackgroundReactive dyes are widely used in the fabric production, and because they are poisonous, and hazardous, their release into the environment today indicates a rise in pollution in the environment. Biosynthetic approach that is also environmentally benign has gained an abundance of recognition for its eco-friendly products, biocompatibility, and long-term economic viability. MethodsIn the present investigation, TiO2 (T) and N, B co-doped-TiO2 (NB-T) nanoparticles (NPs) were prepared biologically using mangrove aqueous extract by the sol-gel method to compare their photocatalytic degradation activity of an aqueous solution of reactive red 250 dye (RR250) under visible light irradiation at different times. The antioxidant activities of T and NB-T NPs samples were evaluated. The synthesized samples were characterized using different techniques. Main findingsThe findings showed that photocatalytic degradation activity of NB-T NPs reaches 100 % after 60 min of the degradation process, where it reaches maximum (38.1 %) for T NPs at the highest catalyst dose. The results showed that NB-T NPs have a conformal surface structure and stronger photocatalytic properties than Pure T. Measurements of Chemical Oxygen Demand (COD) were made, and a significant reduction in values was seen, showing the technique's high potential for removing RR250 dye from aqueous solutions. The NB-T sample showed the maximum activity, as indicated by the estimated IC50 value (34.98 μg/mL). Both T and NB-T NPs showed significant DPPH free radical scavenging activity.

Treating Sugar Mill Wastewater by Identifying and Removing Major Impurities Using Eletrocoagulation

Abstract: The study investigates electrocoagulation for removing impurities from wastewater of the sugar industry.With optimal conditions (75mins electrolysis, pH 7, 25V), significant removal efficiencies were achieved for conductivity (93%), chloride (92.5%), COD (up to 79.6%), and color (96.8%). Exploring the impact of electrolytes on pollutant removal efficiency provides insights for further process optimization, highlighting the technique's potential to minimize environmental and health impacts

Sensitivity, precision, and accuracy of fs-LIBS for heavy metal detection in flowing aqueous solutions.

This investigation employs femtosecond laser-induced breakdown spectroscopy (fs-LIBS) to measure the concentrations of chromium (Cr), lead (Pb), and copper (Cu) in flowing aqueous solutions. The fs pulsed laser excites the water, generating plasma in a dynamic setting that prevents liquid splashing-a notable advantage over static methods. The flowing water column maintains a stable liquid level, circumventing the laser focus irregularities due to liquid-level fluctuations. Calibration curves, based on a linear function, reveal limits of detection (LODs) as low as 0.0179 μg/mL for Cr, 0.1301 μg/mL for Pb, and 0.0120 μg/mL for Cu. The reliability of the experiment is confirmed by R2 values exceeding 0.99. These findings offer valuable insights for the analysis of trace heavy metals in flowing aqueous solutions using fs-LIBS, demonstrating the technique's potential for environmental monitoring.

Methylation-GC-MS/FID-Based Glycosidic Linkage Analysis of Unfractionated Polysaccharides in Red Seaweeds.

Glycosidic linkage analysis was conducted on the unfractionated polysaccharides in alcohol-insoluble residues (AIRs) prepared from six red seaweeds (Gracilariopsis sp., Prionitis sp., Mastocarpus papillatus, Callophyllis sp., Mazzaella splendens, and Palmaria palmata) using GC-MS/FID analysis of partially methylated alditol acetates (PMAAs). The cell walls of P. palmata primarily contained mixed-linkage xylans and small amounts of sulfated galactans and cellulose. In contrast, the unfractionated polysaccharides of the other five species were rich in galactans displaying diverse 3,6-anhydro-galactose and galactose linkages with varied sulfation patterns. Different levels of cellulose were also observed. This glycosidic linkage method offers advantages for cellulose analysis over traditional monosaccharide analysis that is known for underrepresenting glucose in crystalline cellulose. Relative linkage compositions calculated from GC-MS and GC-FID measurements showed that anhydro sugar linkages generated more responses in the latter detection method. This improved linkage workflow presents a useful tool for studying polysaccharide structural variations across red seaweed species. Furthermore, for the first time, relative linkage compositions from GC-MS and GC-FID measurements, along with normalized FID and total ion current (TIC) chromatograms without peak assignments, were analyzed using principal component analysis (PCA) as a proof-of-concept demonstration of the technique's potential to differentiate various red seaweed species.

Induction of epicormic sprouts of Schizolobium parahyba var. amazonicum (paricá): effect of seasonality and stump height

Coppicing technique is recognized as an effective method for inducing epicormic sprouts and promoting reinvigoration in Brazilian native tree species. However, there remains a knowledge gap regarding efficient reinvigoration techniques for vegetative rescue of paricá trees. This study aimed to evaluate the coppicing technique's efficacy in inducing epicormic sprouts in paricá trees, considering different seasons and stump heights. A 2x3 factorial experimental design was employed, encompassing two seasons (rainy and dry) and three stump heights (0 = root collar; 10 cm above root collar; 30 cm above root collar). Stumps were monitored over a 90-day period. Results showed that all stumps remained viable, with significant differences observed in sprouting frequency between the rainy and dry seasons at 15 and 30 days, favoring the former. Furthermore, the number of sprouts per stump varied significantly across seasons at 15, 30, and 45 days, with higher counts recorded during the rainy season. Notably, the high percentage of stumps producing sprouts underscores the species' robust response capacity. Additionally, the occurrence of two sprouts per stump suggests a species-specific trait at these stump heights. Evaluation of sprout length and circumference revealed significant differences between seasons, with greater growth observed during the rainy season. These findings are crucial for informing management decisions related to epicormic sprout development through the coppicing technique in paricá trees. Overall, the results indicate the technique's potential to induce epicormic sprouts across all seasons and stump heights evaluated, with superior outcomes observed during the rainy season.

Accurate categorization and rapid pathological diagnosis correction with Micro-Raman technique in human lung adenocarcinoma infiltration level.

In the context of surgical interventions for lung adenocarcinoma (LADC), precise determination of the extent of LADC infiltration plays a pivotal role in shaping the surgeon's strategic approach to the procedure. The prevailing diagnostic standard involves the expeditious intraoperative pathological diagnosis of areas infiltrated by LADC. Nevertheless, current methodologies rely on the visual interpretation of tissue images by proficient pathologists, introducing an error margin of up to 15.6%. In this study, we investigated the utilization of Micro-Raman technique on isolated specimens of human LADC with the objective of formulating and validating a workflow for the pathological diagnosis of LADC featuring diverse degrees of infiltration. Our strategy encompasses a thorough pathological characterization of LADC, spanning different tissue types and levels of infiltration. Through the integration of Raman spectroscopy with advanced deep learning models for simultaneous diagnosis, this approach offers a swift, precise, and clinically relevant means of analysis. The diagnostic performance of the convolutional neural network (CNN) model, coupled with the microscopic Raman technique, was found to be exceptional and consistent, surpassing the traditional support vector machine (SVM) model. The CNN model exhibited an area under the curve (AUC) value of 96.1% for effectively distinguishing normal tissue from LADC and an impressive 99.0% for discerning varying degrees of infiltration in LADCs. To comprehensively assess its clinical utility, Raman datasets from patients with intraoperative rapid pathologic diagnostic errors were utilized as test subjects and input into the established CNN model. The results underscored the substantial corrective capacity of the Micro-Raman technique, revealing a misdiagnosis correction rate exceeding 96% in all cases. Ultimately, our discoveries highlight the Micro-Raman technique's potential to augment the intraoperative diagnostic precision of LADC with varying levels of infiltration. And compared to the traditional SVM model, the CNN model has better generalization ability in diagnosing different infiltration levels. This method furnishes surgeons with an objective groundwork for making well-informed decisions concerning subsequent surgical plans.

Integrated approach for groundwater potential exploration in Abbay River Basin, East Africa

This paper presents and examines groundwater potential zones with the help of remote sensing and GIS methods for controlling and investigating the geospatial data of each parameter. Groundwater is a very important source for water supply and others, considering its availability, quality, cost, and time-effectiveness to develop. It is virtually everywhere and yet variable in quantity. Because of several conditions, such as rapid population growth, urbanization, industrialization, and agricultural development, groundwater sources are under severe threat. Climate change plays an important role in the quality and quantity of groundwater potential. In addition, climate change severely affects parameters that influence groundwater recharge. Unreliable exploitation and poor quality of surface water resources tend to increase the decline in groundwater levels. Hence, it is necessary to identify groundwater potential zones that can be used to optimize and monitor groundwater resources. This study was conducted in the Abbay River Basin and identifies the location of groundwater potential for developing new supplies that could be used for a range of purposes in the study area, where groundwater serves as the main source for agricultural purposes rather than surface water. Seven selected parameters—lineament density, precipitation, geology, drainage density, land use, slope, and soil data—were collected, processed, resampled, projected, and reclassified for hydrological analysis. For the generation of groundwater zones, weightage was calculated using an analytical hierarchy method, reclassified, ranked, and overlaid with GIS. The obtained results of weightage were lineament density (37%), precipitation (30%), geology (14%), drainage density (7%), land use land cover (5%), slope (4%), and soil (3%). The consistency ratio estimated for this study was 0.089, which was acceptable for further analysis. Based on the integration of all thematic layers and the generated groundwater potential zones, the map was reclassified into five different classes, namely very good, good, moderate, poor, and very poor. The results of this study reveal that 1295.33 km2 of the study area can be considered very poor, 58,913.1 km2 is poor, 131,323 km2 is moderate, 18,557 km2 is good, and 311.5 km2 is very good. Any groundwater management project performed in the better regions would offer the greatest value. A similar study would be valuable before planning any water resource development activity, as this would save the expense of comprehensive field investigations. This study also demonstrates the importance of remote sensing and GIS techniques in mapping groundwater potential at the basin scale and suggests that similar methods could be applied across other river basins.

Operational encoding enhances action knowledge integration: insights from event-related potential analysis.

In this study, we conducted an examination of knowledge integration concerning action information and assessed the impact of operational on this process. Additionally, we delved into the underlying mechanisms of how operational encoding influences the processing of knowledge integration of action information, utilizing the event-related potential technique. The results of our investigation revealed that operational encoding, encompassing the observed operational encoding and the imagined operational encoding, exhibited superior performance in the integration of action knowledge compared to verbal encoding. This distinction may be attributed to the greater efficiency of operant encoding in activating motor cortical areas, thereby inducing more robust brain activity. These findings suggest the potential advantages of operational encoding in facilitating the integration of knowledge related to movement information at both cognitive and neural levels, underscoring its significant role in the processing of such information. Future studies can further explore the applications of operational encoding in domains, such as motor learning, skill training, and rehabilitation therapy. Such investigations may offer novel insights into enhancing human behavior and motor control.

Measuring CSF shunt flow with MRI using flow enhancement of signal intensity (FENSI).

To develop and validate a noninvasive imaging technique for accurately assessing very slow CSF flow within shunt tubes in pediatric patients with hydrocephalus, aiming to identify obstructions that might impede CSF drainage. A simulation of shunt flow enhancement of signal intensity (shunt-FENSI) signal is used to establish the relationship between signal change and flow rate. The quantification of flow enhancement of signal intensity data involves normalization, curve fitting, and calibration to match simulated data. Additionally, a phase sweep method is introduced to accommodate the impact of magnetic field inhomogeneity on the flow measurement. The method is tested in flow phantoms, healthy adults, intensive care unit patients with external ventricular drains (EVD), and shunt patients. EVDs enable shunt-flow measurements to be acquired with a ground truth measure of CSF drainage. The flow-rate-to-signal simulation establishes signal-flow relationships and takes into account the T1 of draining fluid. The phase sweep method accurately accounts for phase accumulation due to frequency offsets at the shunt. Results in phantom and healthy human participants reveal reliable quantification of flow rates using controlled flows and agreement with the flow simulation. EVD patients display reliable measures of flow rates. Shunt patient results demonstrate feasibility of the method and consistent flow rates for functional shunts. The results demonstrate the technique's applicability, accuracy, and potential for diagnosing and noninvasively monitoring hydrocephalus. Limitations of the current approach include a high sensitivity to motion and strict requirement of imaging slice prescription.