Normal Population Research Articles

Correlative single-molecule and structured illumination microscopy of fast dynamics at the plasma membrane

Total internal reflection fluorescence (TIRF) microscopy offers powerful means to uncover the functional organization of proteins in the plasma membrane with very high spatial and temporal resolution. Traditional TIRF illumination, however, shows a Gaussian intensity profile, which is typically deteriorated by overlaying interference fringes hampering precise quantification of intensities—an important requisite for quantitative analyses in single-molecule localization microscopy (SMLM). Here, we combine flat-field illumination by using a standard πShaper with multi-angular TIR illumination by incorporating a spatial light modulator compatible with fast super-resolution structured illumination microscopy (SIM). This distinct combination enables quantitative multi-color SMLM with a highly homogenous illumination. By using a dual camera setup with optimized image splitting optics, we achieve a versatile combination of SMLM and SIM with up to three channels. We deploy this setup for establishing robust detection of receptor stoichiometries based on single-molecule intensity analysis and single-molecule Förster resonance energy transfer (smFRET). Homogeneous illumination furthermore enables long-term tracking and localization microscopy (TALM) of cell surface receptors identifying spatial heterogeneity of mobility and accessibility in the plasma membrane. By combination of TALM and SIM, spatially and molecularly heterogenous diffusion properties can be correlated with nanoscale cytoskeletal organization and dynamics.

Extensions of curves with high degree with respect to the genus

We classify linearly normal surfaces $S \subset \mathbf{P}^{r+1}$ of degree $d$ such that $4g-4 \leq d \leq 4g+4$, where $g>1$ is the sectional genus (it is a classical result that for larger $d$ there are only cones). We apply this to the study of the extension theory of pluricanonical curves and genus $3$ curves, whenever they verify Property $N_2$, using and slightly expanding the theory of integration of ribbons of the authors and E.~Sernesi. We compute the corank of the relevant Gaussian maps, and we show that all ribbons over such curves are integrable, and thus there exists a universal extension. We carry out a similar program for linearly normal hyperelliptic curves of degree $d\geq 2g+3$. We classify surfaces having such a curve $C$ as a hyperplane section, compute the corank of the relevant Gaussian maps, and prove that all ribbons over $C$ are integrable if and only if $d=2g+3$. In the latter case we obtain the existence of a universal extension.

Large sampling intervals for learning and predicting chaotic systems with reservoir computing

Reservoir computing (RC) is an efficient artificial neural network for model-free prediction and analysis of dynamical systems time series. As a data-based method, the capacity of RC is strongly affected by the time sampling interval of training data. In this paper, taking Lorenz system as an example, we explore the influence of this sampling interval on the performance of RC in predicting chaotic sequences. When the sampling interval increases, the prediction capacity of RC is first enhanced then weakened, presenting a bell-shaped curve. By slightly revising the calculation method of the output matrix, the prediction performance of RC with small sampling interval can be improved. Furthermore, RC can learn and reproduce the state of chaotic system with a large time interval, which is almost five times larger than that of the classic fourth-order Runge–Kutta method. Our results show the capacity of RC in the applications where the time sampling intervals are constrained and laid the foundation for building a fast algorithm with larger time iteration steps.

Comparison of 2 Serum Free Light Chain Assays with Creatinine Normal and Abnormal Populations Demonstrates the Need for Standardization.

The objective of this study was to compare The Binding Site's Freelite on Optilite and Diazyme's Kappa/Lambda free light chains (K/L FLC) on Abbott Architect c8000 with healthy and renal insufficient populations and to evaluate their respective reference intervals for serum free light chains (sFLCs). Two hundred sixty serum samples were measured for creatinine and sFLCs by both assays and a subset by immunofixation electrophoresis. Verification of manufacturer-defined reference intervals was assessed. Kappa free light chains (KFLC) showed excellent correlation of 0.998 R2 with a slope of 0.73. For Lambda free light chains (LFLC), an acceptable correlation of 0.953 R2 was found with a slope of 1.50 as well as a skewness-based difference with a -12.70 intercept. Healthy estimated glomerular filtration rate (eGFR) ≥60 reference interval verification of central 95% could not be confirmed for either Freelite or Diazyme although LFLC was much closer than KFLC for both assays with Freelite KFLC recovering only 37% of values within reference interval claims. The K/L FLC ratio did not meet 100% claim for both Freelite (91%) and Diazyme (95%) among those with eGFR ≥60. Samples with eGFR ≤59 had increasingly higher levels of KFLC and LFLC for both assays. When comparing worsening eGFR status, Freelite recovered increasingly higher ratios while Diazyme recovered increasingly lower ratios. Healthy reference intervals could not be verified for either Freelite or Diazyme. Renal reference intervals for Freelite are currently warranted while they are not recommended for Diazyme. The differences between these 2 assays can be minimized by standardization efforts such as recalibration.

Clinical Validation of the Somatic FANCD2 Mutation (c.2022-5C>T) as a Novel Molecular Biomarker for Early Disease Progression in Chronic Myeloid Leukemia: A Case-Control Study.

Background: Chronic myeloid leukemia (CML) results from chromosomal translocation t(9;22) leading to the formation of the BCR-ABL fusion oncogene. CML has three stages: the chronic phase (CP), the accelerated phase (AP), and the blast crisis (BC). Tyrosine kinase inhibitors (TKIs) have revolutionized the treatment of CML. TKIs work well in CP-CML, and these patients have a survival rate similar to the normal population, but TKIs are less effective in advanced-phase CML. Even with current advances in treatment, BC-CML patients have an average overall survival of less than a year. Early recognition of CML patients at risk of disease progression can help in timely interventions with appropriate TKIs or other therapeutic modalities. Although some markers of disease progression like BCR-ABL kinase domain, ASXL1, and GATA2 mutations are available, no universal and exclusively specific molecular biomarkers exist to early diagnose CML patients at risk of CML progression for timely therapeutic interventions to delay or minimize blast crisis transformation in CML. A recent study found that all BC-CML patients harbored the FANCD2 (c.2022-5C>T) mutation. Therefore, the current study was designed to detect this FANCD2 mutant in AP-CML (early progression phase) and to clinically validate its potential as a novel molecular biomarker of early CML progression from CP to AP. Methods: Our study comprised 123 CP-CML (control group) and 60 AP-CML patients (experimental group) from 2 oncology centers, from January 2020 to July 2023. Mean hemoglobin level, WBC count, platelet count, treatment type, hepatomegaly, splenomegaly, and survival status of AP-CML patients were significantly different from those of CP-CML patients. However, as these clinical parameters cannot help in the early detection of patients at risk of CML progression, there was a need for a clinically validated biomarker of AP-CML. DNA was extracted from the patients' blood samples, and the FANCD2 gene was sequenced using an Illumina NextSeq500 next-generation sequencer (NGS). Results: The NGS analysis revealed a unique splice-site mutation in the FANCD2 gene (c.2022-5C>T). This mutation was detected in the majority (98.3%) of AP-CML patients but in none of the CP-CML patients or healthy control sequences from genomic databases. The mutation was confirmed by Sanger sequencing. FANCD2 is a member of the Fanconi anemia pathway genes involved in DNA repair and genomic stability, and aberrations of this gene are associated with many cancers. Conclusions: In conclusion, our study shows that the somatic FANCD2 (c.2022-5C>T) mutation is a new molecular biomarker for early CML progression. We recommend further clinical validation of this biomarker in prospective clinical trials.

Computer-aided drug design supporting sunscreen research: a showcase study using previously synthesized hybrid UV filter-antioxidant compounds.

Although quantum mechanical calculations have proven effective in accurately predicting UV absorption and assessing the antioxidant potential of compounds, the utilization of computer-aided drug design (CADD) to support sustainable synthesis research of new sunscreen active ingredients remains an area with limited exploration. Furthermore, there are ongoing concerns about the safety and effectiveness of existing sunscreens. Therefore, it remains crucial to investigate photoprotection mechanisms and develop enhanced strategies for mitigating the harmful effects of UVR exposure, improving both the safety and efficacy of sunscreen products. A previous study conducted synthesis research on eight novel hybrid compounds (I-VIII) for use in sunscreen products by molecular hybridization of trans-resveratrol (RESV), avobenzone (AVO), and octinoxate (OMC). Herein, time-dependent density functional theory (TD-DFT) calculations performed in the gas phase on the isolated hybrid compounds (I-VIII) proved to reproduce the experimental UV absorption. Resveratrol-avobenzone structure-based hybrids (I-IV) present absorption maxima in the UVB range with slight differences between them, while resveratrol-OMC structure-based hybrids (V-VIII) showed main absorption in the UVA range. Among RESV-OMC hybrids, compounds V and VI exhibited higher UV absorption intensity, and compound VIII stood out for its broad-spectrum coverage in our simulations. Furthermore, both in silico and in vitro analyses revealed that compounds VII and VIII exhibited the highest antioxidant activity, with compound I emerging as the most reactive antioxidant within RESV-AVO hybrids. The study suggests a preference for the hydrogen atom transfer (HAT) mechanism over single-electron transfer followed by proton transfer (SET-PT) in the gas phase. With a strong focus on sustainability, this approach reduces costs and minimizes effluent production in synthesis research, promoting the eco-friendly development of new sunscreen active ingredients. The SPARTAN'20 program was utilized for the geometry optimization and energy calculations of all compounds. Conformer distribution analysis was performed using the Merck molecular force field 94 (MMFF94), and geometry optimization was carried out using the parametric method 6 (PM6) followed by density functional theory (DFT/B3LYP/6-31G(d)). The antioxidant behavior of the hybrid compounds (I-VIII) was determined using the highest occupied molecular orbital (εHOMO) and the lowest unoccupied molecular orbital (εLUMO) energies, as well as the bond dissociation enthalpy (BDE), ionization potential (IP), and proton dissociation enthalpy (PDE) values, all calculated at the same level of structural optimization. TD-DFT study is carried out to calculate the excitation energy using the B3LYP functional with the 6-31G(d) basis set. The calculated transitions were convoluted with a Gaussian profile using the Gabedit program.

Copeptin's role in traumatic brain injury: The promising quest for a new biomarker

ObjectiveTraumatic brain injury (TBI) necessitates reliable biomarkers to improve patient care. This study explored copeptin as a potential biomarker in TBI and its relation to vasopressin (ADH) in such patients. MethodsA cross-sectional study was conducted on 50 TBI patients. Exclusion criteria included specific medical conditions and recent traumatic events. Copeptin and ADH testing were performed within 30 days post-trauma. Patient data, Glasgow Coma Scale (GCS) scores, imaging results, and the need for surgical intervention were obtained from medical charts. ResultsCopeptin levels negatively correlated with GCS scores (ρ = − 0.313, p = 0.027), indicating a potential association with trauma severity. Copeptin levels (mean: 3.22 pmol/L, median 2.027 pmol/L, SD = 3.15) tended to be lower than those found in the normal population, suggesting possible neuroendocrine dysfunction post-TBI. ADH levels (mean: 67.93 pmol/L, median 56.474 pmol/L SD = 47.67) were higher than the normal range and associated with the need for surgery (p = 0.048). Surprisingly, copeptin and ADH levels negatively correlated (r = − 0.491; p < 0.001), potentially due to differences in degradation processes and physiological variations in TBI patients. ConclusionCopeptin shows potential as a predictive biomarker for assessing TBI severity and predicting patient outcome. However, its complex relationship with ADH in TBI requires further investigation. Careful interpretation is needed due to potential variations in excretion dynamics and metabolism. Larger studies on TBI patient cohorts are essential to validate copeptin as a reliable biomarker and improve patient care in TBI.

Optimized dispersion Higuchi fractal dimension and its refined composite multi-scale version for signal analysis

Higuchi fractal dimension (HFD), as a classic nonlinear dynamic metric, which is commonly used to detect signal dynamic changes. However, it is difficult for HFD to process signal outliers. To address this issue, dispersion HFD (DHFD) is proposed, which improves the signal complexity representation ability of HFD by introducing the normal cumulative distribution function and round function in dispersion entropy. Nevertheless, the parameter selection of DHFD can affect the complexity value. Therefore, an optimized dispersion HFD (ODHFD) is proposed, which solves the threshold selection problem of DHFD and can more effectively reflect the complexity of the signal. In addition, an optimized refined composite DHFD (ORCMDHFD) has been proposed, which can more comprehensively reflect the complexity information for the signal at multiple scales. The simulation experiment results show that DHFD has a smaller standard deviation than HFD when calculating white noise signal complexity, and DHFD have the least dependence on signal length compared to other metrics, as well as RCMDHFD has the best separability for simulated noise signals. Actual experiments have shown that ODHFD and ORCMDHFD is superior to other entropy and fractal dimension metrics in distinguishing ship radiated noise and mechanical fault signals, and has broad application prospects in the field of signal analysis.

Early-season yield fluctuations of strawberry (Fragaria ×ananassa Duch.) follow a bimodal Gaussian model

Strawberries (Fragaria ×ananassa Duch.) are highly perishable and require intensive labor inputs for harvesting. Therefore, yield forecasting is critical for improving labor management and marketing decision-making in strawberry production. In Florida, United States, strawberry yields during winter months have a unique distribution pattern characterized by multiple waves. We hypothesized that individual yield waves can be described using Gaussian distribution, a model that represents a symmetrical bell-shaped curve. Two short-day cultivars (‘Florida Radiance’ and ‘Florida Brilliance’) and one day-neutral cultivar (‘Florida Beauty’) were grown in west-central Florida. Harvesting was performed 30 times, generally twice a week from November through February. Yield data were converted to weekly values prior to model fitting. The first two yield waves were described by a bimodal Gaussian distribution model, which was then converted into two unimodal Gaussian distribution models. The goodness of fit was very high (R2 = 0.934–0.959) for both yield waves in all tested cultivars. Different yield distribution patterns of the tested cultivars were characterized quantitatively by estimating not only the yield but also the timing and duration of each yield wave. Our modeling approach provides insights into understanding cultivar-dependent fruiting phenology, yielding capacity, and fruit earliness. Such information can help optimize yield distribution through breeding and reduce yield gaps by using different cultivars or staggered planting dates. The model developed here only applies to the first two waves of fruit production. Future research will aim to model the following yield waves to fully characterize the strawberry yield distribution.

Abundant Soliton Solutions to the Generalized Reaction Duffing Model and Their Applications

The main aim of this study is to obtain soliton solutions of the generalized reaction Duffing model, which is a generalization for a collection of prominent models describing various key phenomena in science and engineering. The equation models the motion of a damped oscillator with a more complex potential than in basic harmonic motion. Two effective techniques, the mapping method and Bernoulli sub-ODE technique, are used for the first time to obtain the soliton solutions of the proposed model. Initially, the traveling wave transform, which comes from Lie symmetry infinitesimals, is applied, and a nonlinear ordinary differential equation form is derived. These approaches effectively retrieve a hyperbolic, Jacobi function as well as trigonometric solutions while the appropriate conditions are applied to the parameters. Numerous innovative solutions, including the kink wave, anti-kink wave, bell shape, anti-bell shape, W-shape, bright, dark and singular shape soliton solutions, were produced via the mapping and Bernoulli sub-ODE approaches. The research includes comprehensive 2D and 3D graphical representations of the solutions, facilitating a better understanding of their physical attributes and proving the effectiveness of the proposed methods in solving complex nonlinear equations. It is important to note that the proposed methods are competent, credible and interesting analytical tools for solving nonlinear partial differential equations.

P-737 Congenital tubal anomalies: exploring its relationship with tubal factor infertility: observational-descriptive study

Abstract Study question Is there any relation between congenital Fallopian tube anomalies and tubal factor infertility in subset of infertile women? Summary answer Nearly 15% of women who underwent diagnostic laparoscopy revealed congential tubal anomaly (15%), including total or partial agenesis of tubes. What is known already The fallopian tubes play a crucial role in the reproductive process. These structures are 10-12 cm in length, consists of four parts from proximal to distal side: intramural, isthmic, ampullary and fimbrial [1]. Any abnormalities in their development or structure can severely affect fertility. Fallopian tube agenesis, whether partial or complete, constitutes one such anomaly. While there have been numerous advances in the understanding and management of fallopian tube disorders, partial or complete fallopian tube agenesis remains an enigmatic entity with unknown prevalance in the general population. Study design, size, duration Observational study was conducted between 2020 and 2023. All couples with primary infertility were evaluated in an outpatient clinic using basic hormone analysis, semen analysis, sonography and hysterosalpingogram as a standard of care. All women with suspected tubal pathology were offered to have diagnostic laparoscopy (LS) in order to confirm the anomaly. When tubal and/or Mullerian anomalies were detected, urinary system was examined by intravenous pyelography. Other suspected pathologies were examined by abdominopelvic CT x-ray. Participants/materials, setting, methods All women with suspected tubal pathology were offered to have diagnostic laparoscopy in order to confirm the anomaly. Surgeries was performed by two experienced surgeons, after having informed consent. When tubal and/or Mullerian anomalies were detected, urinary system was examined by intravenous pyelography. Other suspected pathologies were examined by abdominopelvic CT x-ray imaging. All anomalies have been reported in an electronic database. Main results and the role of chance A total of 4230 infertile couples were admitted to clinics. Mean age of women in the study population is 30±2.3 years. Overall duration of infertility is 1.2±0.6 years. Among them, 895 women were diagnosed to have suspected tubal pathology after HSG examination (21%). Diagnostic LS was performed to 220 women. Flowchart of the patients is given in figure-1. Among them, 113 (51,3%) women revealed tubal pathologies/anomalies and 107 (49,7%) revealed normal findings. Total of 34 women revealed congenital proximal and/or distal tubal anomaly. Half of these cases (17/34) were complete agenesis and remaning were either with proximal or mid-distal portion agenesis. Majority of women 32/34 (94 %) with tubal pathology revealed at least 1 uterine anomaly as well. Among them, 19 (55.9 %) of these patients was confirmed to have unicornuate uterus, 6 (17.6 %) had uterus didelphys, 4 (11.8 %) had bicornuate uterus, and 3 (8.8%) had uterine septum. No uterine anomaly was observed in 2 (5.9 %) patients. Total of 16 women (14%) were diagnosed to have other system anomalies. Limitations, reasons for caution Lack of a control group in normal population in order to compare incidences. Secondly, our sample size is not enough to precisely conclude on exact prevalances. Third, we did not report fertility data following LS. Wider implications of the findings Tubal factor infertility is one of the major etiologic factor among primary infertility cases and congenital tubal anomalies were reported to be relatively higher (15%) in these younger women contrary to general expectations. Second important finding is high congenital uterine anomaly incidence in women with congenital tubal anomalies. Trial registration number not applicable

Post Covid-19 Vaccination Immune Response in Hemodialysis Patient Compared to Normal Population

Abstract Background The COVID-19 pandemic has profound adverse effects on the population on dialysis. Patients requiring dialysis are at an increased risk of SARS-CoV-2 infection and mortality, and many have experienced psychological distress as well as delayed or suboptimal care. COVID-19 survivors have prolonged viral shedding, but generally develop a robust and long-lasting humoral immune response that correlates with initial disease severity. However, protection against reinfection is incomplete. Aim of the Work This study aimed to studying the immune response to COVID-19 Viruse vaccination in hemodialysis patients compared to the normal population Patients and Methods This study is a prospective case control study which include 40 prevalent HD patients received COVID-19 vaccination in haemodialysis units, Ain Shams University Hospitals. In comparison to 20 healthy control individuals who also received COVID-19 vaccination. Results Our study showed that there was no statistically significant difference between the studied groups as regard demographic data. Where the age ranges from 24-60 years old. There was 11 female and 29 males in our participant. Regarding occupation, there were 11 participants not working and 29 were working. In our study, there was a significant negative correlation between, SARS COVID IgG Au/ml &amp; age per year, duration of hemodialysis per year, and parathyroid hormone. Whereas, there is a significant positive correlation between SARS COVID IgG Au/ml and kt/v % of renal hemodialysis dialysis patients. Otherwise, there is no significant relation between, SARS COVID IgG. In our study, there is a lower significant value of SARS COVID igG in renal dialysis patients compared to the control group regarding the history of COVID19 infection before vaccination and occurrence of post- vaccine adverse effects. Conclusion Hemodialysis patients demonstrate a hyporesponsiveness to vaccination against COVID-19. Although most patients on maintenance hemodialysis developed a substantial humoral response following the COVID vaccine, it was significantly lower than controls.

Variant patterns of electrical activation and recovery in normal human hearts revealed by noninvasive electrocardiographic imaging.

Although electrical activity of the normal human heart is well characterized by the electrocardiogram, detailed insights into within-subject and between-subject variations of ventricular activation and recovery by noninvasive electroanatomic mapping are lacking. We characterized human epicardial activation and recovery within and between normal subjects using non-invasive electrocardiographic imaging (ECGI) as a basis to better understand pathology. Epicardial activation and recovery were assessed by ECGI in 22 normal subjects, 4 subjects with bundle branch block (BBB) and 4 with long-QT syndrome (LQTS). We compared characteristics between the ventricles [left ventricle (LV) and right ventricle (RV)], sexes, and age groups (<50/≥50years). Pearson's correlation coefficient (CC) was used for within-subject and between-subject comparisons. Age of normal subjects averaged 49 ± 14 years, 6/22 were male, and no structural/electrical heart disease was present. The average activation time was longer in LV than in RV, but not different by sex or age. Electrical recovery was similar for the ventricles, but started earlier and was on average shorter in males. Median CCs of between-subject comparisons of the ECG signals, activation, and recovery patterns were 0.61, 0.32, and 0.19, respectively. Within-subject beat-to-beat comparisons yielded higher CCs (0.98, 0.89, and 0.82, respectively). Activation and/or recovery patterns of patients with BBB or LQTS contrasted significantly with those found in the normal population. Activation and recovery patterns vary profoundly between normal subjects, but are stable individually beat to beat, with a male preponderance to shorter recovery. Individual characterization by ECGI at baseline serves as reference to better understand the emergence, progression, and treatment of electrical heart disease.

Aspects Regarding the Physical Parameters and Wear in the Work Process of the Disc Openers for Seeding Machines

This paper primarily presents statistics on the variation of physical characteristics (dimensions and mass) for the coulter discs of double-disc seeders. This statistic was calculated based on actual measurements of the probability density and cumulative probability for the mass of the discs, their average thickness, and outer diameter. These parameters (m = 4000 g, g = 4 mm, D = 380 mm) are tracked from the design phase to the actual realization phase, being the parameters specified in the purchase phase by users from agricultural machinery distributors. The standard deviation and deviation from the mean for a cumulative normal (Gaussian) distribution were calculated, and an analysis was made for the decrease of the mentioned parameters in discs already used for sowing cereals on an area of 80 hectares, due to the wear that appeared as a trace of the contact with the soil and the abrasive wear caused by it. Testing of disk parameters using both logarithmic and Gaussian distributions was performed, and test results are presented through appropriate graphs. With small deviations (which appeared for known or unknown reasons), it can be stated that the distribution of the mentioned parameters is generally a normal-type distribution. If the new discs are 15″ in diameter, experts recommend that they be replaced when they reach a diameter of less than 14.5 inches. This study can provide a reference for improving the physical characteristics of opener discs of seed drills in no-till conditions and beyond.

Study on the design method of multi-component industrial solid waste low carbon cementitious material with cement as the activator

The relationship between microstructure and mechanical properties of multi-component solid waste low-carbon cementitious materials has been widely pay attention to. However, industrial solid waste is a complex multi-component system with many variable factors, which makes it difficult to design the formulation of cementitious materials. This paper pioneered the application of machine learning (ML) models, algorithms and error rates to analyze the compressive and flexural strength of fly ash-based pastes. Coefficient of determination (R2), mean squared error (MSE), root mean square error (RMSE), mean absolute error (MAE) and a20-index were used to evaluate robustness. X-ray diffraction (XRD), scanning electron microscope (SEM) and Brunauer-Emmett-Taylor (BET) were carried out to analyze evolution of cementitious materials. The evaluation results of ML models exhibited that the Gradient boosting regression (GBR) model had the best determination parameters and a steep normal distribution fitting curve with an a20-index of 0.861. GBR model exhibited the best robustness. The key factors of fly ash-based cementitious materials were identified by Pearson's coefficient, which was benefit to determine the formulation of multi-component solid waste low-carbon cementitious materials. Furthermore, experiments also demonstrated that the optimum ratio of multi-component solid waste low carbon cementitious material was 10 % gypsum, 10 % metakaolin, 45 % fly ash, 15 % slag and 20 % cement, respectively. It was worth noting that the compressive strength of this kind of multi-component solid waste low-carbon cementitious materials reached 35 MPa, which was superior to the mechanical properties of P·O 32.5 cement. The results of phase, SEM images and pore structure distribution showed that the synergistic effect of the multi-component solid waste materials effectively filled the material voids and also facilitated the formation of a variety of gelatinous materials through gelling reactions in the late stage (14–28 d). This work will promote the resource utilization of industrial solid waste, contribute to carbon reduction, and can accelerate the green revolution of concrete.

A Comparative Study on Levels of hs-CRP and Lipid Profile in Prediabetic and Normal Population.

This study aimed to compare high-sensitivity C-reactive protein (hs-CRP) and lipid profile levels between prediabetic and normal populations and explore correlations between hs-CRP and lipid profile in prediabetic individuals. The study was conducted among Group A comprising 75 prediabetic individuals, and Group B, which included 75 non-diabetic controls from the general population. Results showed that the mean hs-CRP level in Group A (1.717) significantly exceeded that of Group B (0.917) (p = 0.001). Pearson correlation analysis revealed significant positive linear relationships between hs-CRP and lipid profile parameters, indicating that as total cholesterol, triglycerides (TGs), high-density lipoprotein (HDL), and very low-density lipoprotein (VLDL) increased, hs-CRP also increased. A significant negative linear relationship was observed between hs-CRP and HDL. Moreover, a positive linear relationship existed between hs-CRP and glycemic parameters (fasting blood sugar (FBS), postprandial blood sugar (PPBS), and Glycated haemoglobin (HbA1c)). It is concluded that elevated hs-CRP, an inflammatory marker, correlated with dysregulated lipid profiles, and glycemic parameters, indicating its potential role in assessing inflammation in prediabetic individuals and its association with dyslipidemia and glucose metabolism.

Photovoltaic Rotation and Transportation of a Fragile Fluorescent Microrod Toward Assembling a Tunable Light-Source System.

Continuous rotation of a fragile, photosensitive microrod in a safe, flexible way remains challenging in spite of its importance to microelectro-mechanical systems. We propose a photovoltaic strategy to continuously rotate a fragile, fluorescent microrod on a LiNbO3/Fe (LN/Fe) substrate using a continuous wave visible (473 nm) laser beam with an ultralow power (few tens of μW) and a simple structure (Gaussian profile). This strategy does not require the laser spot to cover the entire microrod nor does it result in a sharp temperature rise on the microrod. Both experiments and simulation reveal that the strongest photovoltaic field generated beside the laser spot firmly traps one corner of the microrod and the axisymmetric photovoltaic field exerts an electrostatic torque on the microrod driving it to rotate continuously around the laser spot. The dependence of the rotation rate on the laser power indicates contributions from both deep and shallow photovoltaic centers. This rotation mode, combined with the transportation mode, enables the controllable movement of an individual microrod along any complex trajectory with any specific orientation. The tuning of the end-emitting spectrum and the photothermal cutting of the fluorescent microrod are also realized by properly configuring the laser illumination. By taking a microrod as the emitter and a polystyrene microsphere as the focusing lens, we demonstrate the photovoltaic assembly of a microscale light-source system with both spectrum and divergence-angle tunabilities, which are realized by adjusting the photoexcitation position along the microrod and the geometry relationship in the system, respectively.

Blake's pouch cyst-like imaging abnormalities in idiopathic normal pressure hydrocephalus

ObjectiveBlake's pouch cyst is a cause of congenital non-communicating hydrocephalus. Recent study revealed that adult onset communicating normal pressure hydrocephalus sometimes accompanied by Blake's pouch cyst-like imaging abnormalities. However, relationships between two disease entities remains uncovered. The aim of this study was to investigate the prevalence of Blake's pouch cyst-like imaging abnormalities in idiopathic normal pressure hydrocephalus and their impact on the clinical features. MethodsFirst, we investigated the existence of Blake's pouch cyst-like imaging abnormalities in 46 idiopathic normal pressure hydrocephalus patients (mean age 76.8 ± 5.2 years old; 28 women) and 247 normal controls (mean age 65.2 ± 4.0 years old; 120 women). Second, the demographic, clinical and imaging characteristics were compared between idiopathic normal pressure hydrocephalus with and without Blake's pouch cyst-like imaging abnormalities. ResultsBlake's pouch cyst-like imaging abnormalities were more prevalent in idiopathic normal pressure hydrocephalus patients (17.4 %) than in the normal population (2.4 %). Idiopathic normal pressure hydrocephalus with Blake's pouch cyst-like imaging abnormalities showed a trend toward a younger onset than those without Blake's pouch cyst-like imaging abnormalities, while clinical features, including the response to cerebrospinal fluid tap test and shunt treatment, did not differ between two groups. ConclusionsIncomplete cerebrospinal fluid obstruction associated with Blake's pouch cyst-like imaging abnormalities may be a cause of idiopathic normal pressure hydrocephalus.

Atopic diseases and the risk of alopecia areata among pre-teens and teenagers in Taiwan.

Background Alopecia areata (AA), a disorder of non-scarring hair loss with a variable relapsing and remitting course, is a common autoimmune disease in children. Although it often presents as several focal small patchy bald lesions, early onset AA can lead to a total loss of scalp hair, even body hairs, a severe subtype. Atopic diseases are common concurrent disorders in AA, especially among those with early onset severe type of hair loss. Whether atopic diseases increase the risk of AA in the paediatric population of Taiwan, remains unclear. Objective To identify if atopic diseases increase the risk of AA among pre-teens and teenagers in Taiwan. Methods From Taiwan National Health Insurance Database 2010, we used the claims data to clarify the risk of AA in pre-teens and teenagers with atopic diseases (atopic dermatitis, allergic conjunctivitis, asthma, allergic rhinitis and food allergy) as compared to the general population. Cox proportional hazards model yielded hazard ratios (HRs) to address the impact of atopic diseases, sex and age on AA risk after adjusting for covariates and subsequent stratified analyses. Results Overall, 21,070 children (10,535 patients with atopic diseases and 10,535 normal cohort) aged over nine years were recruited. During a follow-up of 15 years, 39 (0.37%) cases were identified to have AA in the atopic diseases group, while 11 (0.10%) had developed AA in the normal cohort. As compared with the normal population, the paediatric population with atopic diseases had a 9.66-fold higher risk of developing AA. The risk was greater for boys and increased with advanced age. In the atopic diseases group, pre-teens and teenagers with food allergies and Sjogren's syndrome were more likely to have AA. Limitations Only one ethnic group. Conclusion All atopic diseases enhanced the risk of developing AA in Taiwan pre-teens and teenagers. Children with atopic diseases should be monitored to look for the development of AA.

Development and validation of the MultiScent-20 digital odour identification test using item response theory

Although validated and reliable psychophysical tests of olfactory function are available, an easy-to-use and feasible test has yet to be developed. This study aimed to design a digital odour identification test, evaluate its validity, assess its reliability, establish a normative curve, and explore the impact of demographic factors. The odour identification test was presented with the Multiscent-20, a hand-held, tablet-like digital scent device that features an integrated odour digital delivery system. The identification performance on the 20 odours was assessed using item response theory (IRT). The normative curve was established by administering the test to a large sample of participants (n = 1299). The mean identification score was 17.5 (SD = 2.1). The two-parameter logistic IRT model provided the best fit, revealing variation in item discrimination and difficulty parameters. Educational attainment influenced performance, with primary education associated with lower scores. Additionally, sex was not found to be associated with performance. This study provides initial evidence supporting the validity and reliability of use of the Multiscent-20 as a digital odour identification test. The test’s automation and portability enable the standardized delivery of olfactory stimuli and efficient automatic recording and scoring of responses.