Miracle-dz/UniFAR-FTUs huggingface dataset:
36. ARGO ABYSSAL PLAIN MAGNETIC LINEATIONS REVISITED: IMPLICATIONS FOR THE ONSET OF SEAFLOOR SPREADING AND TECTONIC EVOLUTION OF THE EASTERN INDIAN OCEAN1

Linear magnetic anomalies in the Argo Abyssal Plain have been interpreted as having been recorded by seafloor spreading during Late Jurassic to Early Cretaceous Chrons M26 through M16. Ocean Drilling Program Leg 123 drilled at Site 765 in the southern Argo Abyssal Plain, near the base of the northwest Australia margin between anomalies thought to be M25A and M26. However, initial biostratigraphy of sediments overlying basement gave Early Cretaceous ages, ~20 m.y. younger than expected. With this discrepancy as impetus, we re-examined the magnetic lineations in the Argo Abyssal Plain and decided that the best model is still the sequence M26 through Ml6. In addition, we were also able to construct a model that accounts for most of the lineations with the reversal sequence MO through Mil, closer to the basement age predicted by initial biostratigraphic results from the deepest sediments at Site 765. This model proved unsatisfactory because it left a significant portion of the lineations unexplained, requires an unlikely sequence of tectonic events, and disagrees with a reliable Jurassic radiometric age that has been determined from Site 765 basement basalts. Later biostratigraphic studies caused the ages of the oldest sediments at Site 765 to be revised upward, but not enough to eliminate the discrepancy with the basement age inferred from the magnetic lineations. A 5-10 m.y. difference exists between oldest sediments and basement at Site 765, whereas the discrepancy at nearby Site 261 is 3-8 m.y. The probable explanation is that sedimentation on the Jurassic Argo Abyssal Plain was low because the northeast Australian margin was sediment-starved and rugged, allowing little sediment to reach the Argo basin. However, some of the discrepancy may arise from small inaccuracies in the Jurassic geomagnetic polarity reversal time scale or small ridge jumps in the young Argo Abyssal Plain. Our Argo magnetic lineation map implies a relatively simple tectonic history for the basin. Seafloor spreading began shortly before M26 time along the center of the northwest Australian margin and extended east and west through ridge propagation. An initially-segmented Argo spreading center coalesced into fewer, longer spreading segments until ~M21-M19 time when a global plate reorganization caused the ridge to resegment. Spreading began on the western margin of Australia at M10 time in the Early Cretaceous, but does not appear to have been contemporaneous with the observed period of spreading in the Argo basin.
Zonation and emplacement of the Newry igneous complex, Nothern Ireland

The Newry Igneous Complex (NIC) in Northern Ireland comprises three largely granodioritic plutons, together with an intermediate-ultramafic body at its northeast end. Geochronology shows that the NIC becomes broadly younger to the southwest and towards the centres of individual plutons. Geophysical results from the recent Tellus Survey of Northern Ireland have been combined with petrology and geochemistry to establish 17 distinct zones within the NIC, which are interpreted to represent separately intruded magma pulses. A combination of Anisotropy of Magnetic Susceptibility (AMS), petrographical and field data shows that the NIC was emplaced as a series of laccoliths into a tension-releasing bend on a strike-slip fault. This regime is proposed to have been facilitated by two deep-seated crustal lineaments. Inflation is suggested to have occurred due to magma pressure during emplacement of each individual zone. At least five constituent parts of the NIC are interpreted to have been emplaced separately at successively higher crustal levels. Thus the intrusion is thought to represent a series of stacked laccoliths, produced by a southwestward migrating source.
Flat Magnetic Stimulation for Urge Urinary Incontinence

Background and Objectives: Strategies for overactive bladder syndrome (OAB) management involve, among others, strengthening the bladder outlet to suppress urgency and neuromodulating the sacral roots. Magnetic stimulation (MS) is a technology that involves an extracorporeal device that is able to provide an electromagnetic field specifically designed to interact with pelvic floor neuromuscular tissue. The resulting tissue electrical activity induces contraction of the pelvic muscle and neuromodulation of the S2–S4 sacral roots. Flat Magnetic Stimulation (FMS) is a relevant advancement involving homogeneous electromagnetic fields, which are able to optimize the effect on the entire pelvic area. However, the benefits of this new technology for OAB syndrome are poorly known. Consequently, the aim of our study is to analyze the outcomes and quality of life (QoL) impact of FMS with Dr. Arnold (DEKA, Calenzano, Italy) in women suffering from OAB syndrome associated with urinary incontinence. Materials and Methods: This prospective study included patients with OAB, urge urinary incontinence, and no ongoing OAB treatments. At baseline (T0), the Incontinence Impact Questionnaire (IIQ-7), the Female Sexual Function Index (FSFI-19), and the International Consultation on Incontinence Questionnaire–Urinary Incontinence Short Form (ICIQ-UI SF) were collected. Patients underwent 8 FMS sessions of 25 min each in one month. At the termination of the therapy (T1), women repeated the ICIQ-UI SF, FSFI-19, and IIQ-7 tools. Moreover, the Patient Global Impression of Improvement (PGI-I) questionnaire was collected to evaluate the cure rate. Results: Our study enrolled a total of 57 consecutive patients. Most women had at least one second- or third-line treatment before FMS, while the remaining naive patients had contraindications to pharmacological treatments. No women reported adverse effects during the treatment. After the treatment, we observed a decrease in the IIQ-7 (p < 0.001) and ICIQ-UI SF scores (p < 0.001) and an improvement in sexual function (p < 0.001) evaluated with FSFI-19. According to PGI-I scores, 42 (73.7%) women referred to some kind of improvement, scoring ≤ 3 points. Specifically, 8.7% of patients considered themselves very much improved, 29.8% much improved, 35.1% minimally improved, and 26.3% found no changes. FMS was effective in treating OAB symptoms without any adverse effects. The mechanism is supposed to be related to suppressing the initiation of micturition. This makes FMS a promising device for treating naive and refractory urge urinary incontinence. Conclusions: The new FMS represents a promising non-pharmacological option for the treatment of naive and refractory OAB.
Mice deficient in complement C3 are protected against recognition memory deficits and astrogliosis induced by status epilepticus

Introduction Status epilepticus (SE) can significantly increase the risk of temporal lobe epilepsy (TLE) and cognitive comorbidities. A potential candidate mechanism underlying memory defects in epilepsy may be the immune complement system. The complement cascade, part of the innate immune system, modulates inflammatory and phagocytosis signaling, and has been shown to contribute to learning and memory dysfunctions in neurodegenerative disorders. We previously reported that complement C3 is elevated in brain biopsies from human drug-resistant epilepsy and in experimental rodent models. We also found that SE-induced increases in hippocampal C3 levels paralleled the development of hippocampal-dependent spatial learning and memory deficits in rats. Thus, we hypothesized that SE-induced C3 activation contributes to this pathophysiology in a mouse model of SE and acquired TLE. Methods In this study C3 knockout (KO) and wild type (WT) mice were subjected to one hour of pilocarpine-induced SE or sham conditions (control; C). Following a latent period of two weeks, recognition memory was assessed utilizing the novel object recognition (NOR) test. Western blotting was utilized to determine the protein levels of C3 in hippocampal lysates. In addition, we assessed the protein levels and distribution of the astrocyte marker glial fibrillary acidic protein (GFAP). Results In the NOR test, control WT + C or C3 KO + C mice spent significantly more time exploring the novel object compared to the familiar object. In contrast, WT+SE mice did not show preference for either object, indicating a memory defect. This deficit was prevented in C3 KO + SE mice, which performed similarly to controls. In addition, we found that SE triggered significant increases in the protein levels of GFAP in hippocampi of WT mice but not in C3 KO mice. Discussion These findings suggest that ablation of C3 prevents SE-induced recognition memory deficits and that a C3-astrocyte interplay may play a role. Therefore, it is possible that enhanced C3 signaling contributes to SE-associated cognitive decline during epileptogenesis and may serve as a potential therapeutic target for treating cognitive comorbidities in acquired TLE.
The Impact of Cadmium Selenide Zinc Sulfide Quantum Dots on the Proteomic Profile of Saccharomyces cerevisiae

Quantum dots (QDs) have been highly sought after in the past few decades for their potential to be used in many biomedical applications. However, QDs’ cytotoxicity is still a major concern that limits the incorporation of QDs into cutting-edge technologies. Thus, it is important to study and understand the mechanism by which QDs exert their toxicity. Although many studies have explored the cytotoxicity of quantum dots through the transcriptomic level and reactive species generation, the impact of quantum dots on the expression of cellular protein remains unclear. Using Saccharomyces cerevisiae as a model organism, we studied the effect of cadmium selenide zinc sulfide quantum dots (CdSe/ZnS QDs) on the proteomic profile of budding yeast cells. We found a total of 280 differentially expressed proteins after 6 h of CdSe/ZnS QDs treatment. Among these, 187 proteins were upregulated, and 93 proteins were downregulated. The majority of upregulated proteins were found to be associated with transcription/RNA processing, intracellular trafficking, and ribosome biogenesis. On the other hand, many of the downregulated proteins are associated with cellular metabolic pathways and mitochondrial components. Through this study, the cytotoxicity of CdSe/ZnS QDs on the proteomic level was revealed, providing a more well-rounded knowledge of QDs’ toxicity.
Association between Total Dietary Phytochemical Intake and Cardiometabolic Health Outcomes—Results from a 10-Year Follow-Up on a Middle-Aged Cohort Population

Dietary phytochemical intake associations with cardiovascular health and mortality remain unknown. We studied the relations between total dietary phytochemical intake and cardiovascular health outcomes in a middle-aged Swiss population. We analyzed data spanning 2009 to 2021 from a prospective cohort study in Lausanne, Switzerland, including 3721 participants (54.8% women, 57.2 ± 10.3 years) without cardiovascular disease (CVD) history. Dietary intake was assessed using a validated self-reported food frequency questionnaire. The Dietary Phytochemical Index (DPI) and the healthy Dietary Phytochemical Index (hDPI) were calculated as the total energy intake percentage obtained from phytochemical-rich food consumption. The Healthy Plant-Based Diet Index (hPBD) was estimated by scoring healthy plant foods positively and less-healthy plant foods negatively. Indices tertiles and cardiometabolic outcome associations were determined using Cox proportional hazard models. Over 30,217 person-years of follow-up, 262 CVD events, and 178 deaths occurred. Unadjusted analyses found 36%, 33%, and 32% lower CVD risk for the highest hDPI, DPI, and hPBD tertiles, respectively. After adjustment, only the second hDPI tertile showed a 30% lower CVD risk (HR 0.70, 95% CI 0.51–0.95; P for trend 0.362). No other associations emerged. In this middle-aged Swiss cohort, no associations between dietary indices reflecting a phytochemical-rich dietary pattern and incident CVD, all-cause, or CVD mortality were observed.
Prognostic role of short-term heart rate variability and deceleration/acceleration capacities of heart rate in extensive-stage small cell lung cancer

Background: Prior research suggests that autonomic modulation investigated by heart rate variability (HRV) might act as a novel predictive biomarker for cancer prognosis, such as in breast cancer and pancreatic cancer. It is not clear whether there is a correlation between autonomic modulation and prognosis in patients with extensive-stage small cell lung cancer (ES-SCLC). Therefore, the purpose of the study was to examine the association between short-term HRV, deceleration capacity (DC) and acceleration capacity (AC) of heart rate and overall survival in patients with ES-SCLC. Methods: We recruited 40 patients with ES-SCLC, and 39 were included in the final analysis. A 5-min resting electrocardiogram of patients with ES-SCLC was collected using a microelectrocardiogram recorder to analyse short-term HRV, DC and AC. The following HRV parameters were used: standard deviation of the normal-normal intervals (SDNN) and root mean square of successive interval differences (RMSSD). Overall survival of patients with ES-SCLC was defined as time from the date of electrocardiogram measurement to the date of death or the last follow-up. Follow-up was last performed on 07 June 2023. There was a median follow-up time of 42.2 months. Results: Univariate analysis revealed that the HRV parameter SDNN, as well as DC significantly predicted the overall survival of ES-SCLC patients (all p < 0.05). Multivariate analysis showed that the HRV parameters SDNN (hazard ratio = 5.254, 95% CI: 1.817–15.189, p = 0.002), RMSSD (hazard ratio = 3.024, 95% CI: 1.093–8.372, p = 0.033), as well as DC (hazard ratio = 3.909, 95% CI: 1.353–11.293, p = 0.012) were independent prognostic factors in ES-SCLC patients. Conclusion: Decreased HRV parameters (SDNN, RMSSD) and DC are independently associated with shorter overall survival in ES-SCLC patients. Autonomic nervous system function (assessed based on HRV and DC) may be a new biomarker for evaluating the prognosis of patients with ES-SCLC.
Risk for Esophageal Cancer Based on Lifestyle Factors–Smoking, Alcohol Consumption, and Body Mass Index: Insight from a South Korean Population Study in a Low-Incidence Area

Esophageal cancer constitutes a global public health challenge. However, South Korean population-specific information on the association of lifestyle (smoking, alcohol consumption, and obesity status) with esophageal cancer risk is sparse. This nested case–control study analyzed the Korean national health screening cohort data (2002–2019) of 1114 patients with esophageal cancer and 4456 controls (1:4 propensity-score matched for sex, age, income, and residential region). Conditional and unconditional logistic regression analyses, after adjustment for multiple covariates, determined the effects of lifestyle factors on esophageal cancer risk. Smoking and alcohol consumption increased the esophageal cancer risk (adjusted odds ratio [95% confidence interval]: 1.37 [1.15–1.63] and 1.89 [1.60–2.23], respectively). Overweight (body mass index [BMI] ≥ 23 to <25 kg/m2), obese I (BMI ≥ 25 to <30 kg/m2), or obese II (BMI ≥ 30 kg/m2) categories had reduced odds of esophageal cancer (0.76 [0.62–0.92], 0.59 [0.48–0.72], and 0.47 [0.26–0.85], respectively). In the subgroup analyses, the association of incident esophageal cancer with smoking and alcohol consumption persisted, particularly in men or those aged ≥55 years, whereas higher BMI scores remained consistently associated with a reduced esophageal cancer likelihood across all age groups, in both sexes, and alcohol users or current smokers. Underweight current smokers exhibited a higher propensity for esophageal cancer. In conclusion, smoking and alcohol drinking may potentially increase the risk, whereas weight maintenance, with BMI ≥ 23 kg/m2, may potentially decrease the risk, for esophageal cancer in the South Korean population. Lifestyle modification in the specific subgroups may be a potential strategy for preventing esophageal cancer.
Prediction of the Structural Color of Liquid Crystals via Machine Learning

Materials that generate structural color may be promising alternatives to dyes and pigments due to their relative long-term stability and environmentally benign properties. Liquid crystal (LC) mixtures of cholesteryl esters demonstrate structural color due to light reflected from the helical structure of the self-assembled molecules. The apparent color depends on the pitch length of the liquid crystal. While a wide range of colors have been achieved with such LC formulations, the nature of the pitch–concentration relationship has been difficult to define. In this work, various machine learning approaches to predict the reflected wavelength, i.e., the position of the selective reflection band, based on LC composition are compared to a Scheffe cubic model. The neural network regression model had a higher root mean squared error (RMSE) than the Scheffe cubic model with improved predictions for formulations not included in the dataset. Decision tree regression provided the best overall performance with the lowest RMSE and predicted position of the selective reflection band within 0.8% of the measured values for LC formulations not included in the dataset. The predicted values using the decision tree were over two-fold more accurate than the Scheffe cubic model. These results demonstrate the utility of machine learning models for predicting physical properties of LC formulations.
Simple Semianalytical Septum Design for Improved Matching in Open TEM Cells

Open transverse electromagnetic (TEM) cells are used for many applications. Usually, such cells are built of metal sheets with linear profiles. Due to these simple geometries, impedance matching is limited. To improve the matching, a simple semianalytical method for an advanced septum profile is developed. Dominant TEM-mode propagation and an expression for the characteristic impedance of a stripline are considered. The characteristic impedances of the feed and the central stripline are equal to a given, desired value. To minimize reflections, the characteristic impedance of the TEM mode is enforced to be constant over the entire structure, especially along the tapered sections. In this way, the proposed method returns the septum width as a function of the longitudinal coordinate along the cell, such that each cross section has a characteristic impedance equal to the given, desired value. A septum designed according to the proposed method is manufactured and installed in a TEM cell prototype. The 30 MHz–1 GHz frequency range is considered to cover CISPR bands C and D. Both measurements and full-wave simulations indicate an improvement in the return loss of 4.6 dB from 10.6 to 15.2 dB with respect to the previously installed linearly tapered septum. Code supporting the findings available at: https://codeocean.com/capsule/4880490/tree.
Effects of Mean and Tidal Current Interaction on the Tidally Induced Residual Current

Abstract A weakly nonlinear depth-dependent tidal model has been developed to study the effects of mean and tidal current interaction on the tidally induced residual current. The model is applied to the northern and southern sides of Georges Bank. The weakly nonlinear approximation is reasonable for the southern section, but only marginally applicable to the deep water, area of the northern section. For the depth-averaged tidal current, only the amplitudes of the along-isobath component are significantly affected by the interaction. The effects on the amplitudes decrease from the surface. For the cross-isobath tidal current, its changes in the upper portion of the water column generally correspond positively with the change in the along-isobath tidal current, and those in the lower portion correspond negatively. The mean and tidal current interaction increases the along-isobath residual current near the deep ends of both sections and in most of the shallow portion of the southern section. Although the eff.
Where the past meets the present: connecting nitrogen from watersheds to streams through groundwater flowpaths

Groundwater discharge to streams is a nonpoint source of nitrogen (N) that confounds N mitigation efforts and represents a significant portion of the annual N loading to watersheds. However, we lack an understanding of where and how much groundwater N enters streams and watersheds. Nitrogen concentrations at the end of groundwater flowpaths are the culmination of biogeochemical and physical processes from the contributing land area where groundwater recharges, within the aquifer system, and in the near-stream riparian area where groundwater discharges to streams. Our research objectives were to quantify the spatial distribution of N concentrations at groundwater discharges throughout a mixed land-use watershed and to evaluate how relationships among contributing and riparian land cover, modeled aquifer characteristics, and groundwater discharge biogeochemistry explain the spatial variation in groundwater discharge N concentrations. We accomplished this by integrating high-resolution thermal infrared surveys to locate groundwater discharge, biogeochemical sampling of groundwater, and a particle tracking model that links groundwater discharge locations to their contributing area land cover. Groundwater N loading from groundwater discharges within the watershed varied substantially between and within streambank groundwater discharge features. Groundwater nitrate concentrations were spatially heterogeneous ranging from below 0.03–11.45 mg-N/L, varying up to 20-fold within meters. When combined with the particle tracking model results and land cover metrics, we found that groundwater discharge nitrate concentrations were best predicted by a linear mixed-effect model that explained over 60% of the variation in nitrate concentrations, including aquifer chemistry (dissolved oxygen, Cl−, SO4 2−), riparian area forested land cover, and modeled physical aquifer characteristics (discharge, Euclidean distance). Our work highlights the significant spatial variability in groundwater discharge nitrate concentrations within mixed land-use watersheds and the need to understand groundwater N processing across the many spatiotemporal scales within groundwater cycling.
Analysis of The Influence of Online Consumer Reviews, Seasonal Digital Advertising and Celebrity Endorsers on Repurchase Intention of E-Commerce Consumers

This research aims to see whether there is an influence of advertising, celebrity endorsers, and online consumer reviews on repurchase intention. This research takes the population, namely e-commerce consumers, throughout Indonesia. The researcher used the nonprobability sampling method, which was purposive sampling. The research utilized a sample size of 100 individuals. The data gathering procedure involves the dissemination of surveys to individuals who have made purchases on many occasions and have been exposed to advertising materials. The researcher employed quantitative methodologies within an explanatory research framework in this study. This study utilizes the Statistical Product and Service Solution (SPSS) application to employ multiple linear regression analysis approaches. The research findings presented in this study are based on the application of the Multiple Linear Regression Analysis method to the collected data. The impact of advertising on the intention to repurchase is evident. The impact of celebrity endorsers on repurchase intentions is negligible. The impact of online consumer reviews on repurchase intentions is negligible. The impact of advertising, celebrity endorsements, and online consumer evaluations on repurchase intentions is significant.