Low SD Research Articles

Circadian heart rate fluctuations predict cardiovascular and all-cause mortality in type 2 and type 1 diabetes: a 21-year retrospective longitudinal study.

Circadian heart rate (HR) fluctuations are associated with cardiovascular health. We examined their relationship with microvascular disease and long-term survival in patients with diabetes. In this secondary analysis from the CHAMP1ON cohort of 497 adults with metabolic disease, 349 participants who had type 1 or type 2 diabetes, baseline 24h ambulatory blood pressure and HR monitoring (ABPM), and survival data over a 21-year observational follow-up were included. Clinical features, microvascular complications, and mortality rates were examined in participants with low circadian HR fluctuations (24h-HR SD below the median of 30.4) and blunted nocturnal HR dip (<10%). Low 24h-HR SD and blunted nocturnal HR dip were associated with an adverse cardiometabolic risk profile and 12-23% higher prevalence of cardiac autonomic neuropathy and nephropathy. After 6,251 person-years follow-up (21.0 [14.0-21.0] years), a total of 136 (39%) deaths occurred, of which 100 (68%) of cardiovascular cause. The low 24h-HR SD group had a higher risk for both cardiovascular (adjusted hazard ratio [aHR] 2.00, 95%CI 1.30-3.08, p=0.002) and all-cause mortality (aHR 1.61, 95%CI 1.13-2.29, p=0.009), compared with high 24h-HR SD. Similarly, patients with blunted nocturnal HR dip had a higher risk for cardiovascular (aHR 1.63, 95%CI 1.08-2.46, p=0.019) and all-cause mortality (aHR 1.69, 95%CI 1.20-2.38, p=0.003), compared with those with preserved nocturnal HR dip. Impaired circadian HR fluctuations are associated with microvascular disease and long-term cardiovascular and all-cause mortality in diabetes. ABPM-derived HR measures may provide a widely available and inexpensive risk stratification tool in this high-risk population.

Facile Fabrication of Hydroxyapatite and Bentonite Encapsulated Biopolymeric Hybrid Composites for Selective Removal of Methylene Blue

AbstractDyeing industries release their hazardous dyeing effluents into the environment which affects the human health and ecosystem. Hence, the removal of dye from waste‐water is mandatory one. In this present study, focus on the fabrication of bio‐clay‐ceramic hybrid composites by dispersing bentonite (BT) clay and ceramic hydroxyapatite (HA) into alginate (Alg) and gelatin (Gel) polymeric matrixes by in‐situ method which gives BTHAAlg and BTHAGel hybrid composites for methylene blue (MB) removal. The various adsorption influencing parameters such as shaking time, adsorbent dosage, pH and initial MB concentration were optimized under batch method. The highest MB adsorption capacities of BTHAAlg and BTHAGel composites were found to be 43.70 and 47.50 mg/g respectively with optimized conditions of 100 mg/L of initial MB concentration, 40 min shaking time and 0.1 g dosages. In pH studies, the high MB adsorption capacity of bio‐clay‐ceramic composites were noticed at pH 11. The characterization techniques like FTIR, SEM and EDAX analysis were performed to find the physico‐chemical properties of bio‐clay‐ceramic composites. The equilibrium data of hybrid composites towards MB adsorption was well fitted with Langmuir isotherm model than D‐R and Fruendlich models because of higher r and low sd values. The negative values of ▵Go at three different temperatures (303, 313 and 323 K) indicate that the spontaneous nature of MB adsorption, while positive values of ΔHo and ΔSo revealed that the MB adsorption onto hybrid composites was endothermic in nature and more randomness occurred at solid/liquid interfaces. In kinetic studies, the MB adsorption onto hybrid composites was well fitted with pseudo‐second‐order and intra‐particle diffusion models. The electrostatic attraction and hydrogen bonding plays a dominant role in MB adsorption onto BTHAAlg and BTHAGel bio‐clay‐ceramic composites. The regeneration studies proposed that the hybrid composites can be reusable upto five cycles. Hence, the developed bio‐clay‐ceramic hybrid composites were act as best adsorbents for MB removal.

Formulation, Evaluation and Characterization of Hydrochlorothiazide Niosomes

One of the many different carriers for getting a drug molecule to its site of action is a niosome, also known as a nonionic surfactant vesicle. Hydrophilic and hydrophobic medicines can both be trapped by them. The primary purpose of the medication hydrochlorothiazide, an angiotensin II type 1 receptor (AT1) antagonist, is to treat high blood pressure. Using cholesterol and nonionic surfactants (span 60) at varying concentrations, niosomes containing hydrochlorothiazide were created by the thin film hydration method. FTIR investigations, in vitro release studies, vesicular diameter, drug content, repeatability, shape and size distribution microphotography, and entrapment efficiency were all assessed for each niosome formulation.According to the findings, entrapment efficiency rises with surfactant concentration in all developed niosomal formulations. Low SD was found for the drug content, which ranged from 90.060.57 to 96.150.42. It was discovered that niosomes ranged in size from 0.280±0.098µm to 0.299±0.044µm and had a spherical shape. The medicine and formulation additives did not interact, according to the IR spectral analysis. Membrane diffusion cells were used to study the in vitro dissolution parameters. The findings indicate that formulation F6 exhibits a more controlled release action compared to the other formulation, with a 'n' value of 0.917, indicating that zero order kinetics were used to release the medication.

Drone audition: Audio signal enhancement from drone embedded microphones using multichannel Wiener filtering and Gaussian-mixture based post-filtering

In this paper, we consider the problem of recovering desired sound source signals from on-board microphone recordings on a noisy drone. Enhancement of source signal degraded by drone noise is considered to be a difficult task due to the strong noise generated from its motors and propellers causing an extremely low signal-to-drone noise ratio (SD‾NR). We propose a solution (i) by combining the widely known multichannel Wiener filter (MWF) to remove drone noise from microphone recordings, and (ii) further reduction of residual noise using a Gaussian mixture model (GMM) based dual-stage parametric Wiener filter (WF). The method exploits known statistics of motor current-specific drone noise. This combination of techniques to the specific context of signal enhancement for drone audition is applicable to irregular microphone arrays embedded on a drone enabling realistic integration to most drones. We demonstrate the validity of the proposed framework with extensive real data through (i) experimental recordings from two different drone acoustics datasets and (ii) outdoor measurements from a hovering drone for a bioacoustic application. The results confirm improved performance in terms of SD‾NR, speech quality (PESQ), and intelligibility (STOI) at very low SD‾NR (up to −30 dB) and show a strong potential for signal enhancement applications using noisy drones.

Developing an anatomically valid segmentation protocol for early tau regions: the anterior medial temporal lobe cortices

AbstractBackgroundThe anterior portion of the medial temporal lobe (MTL) is one of the earliest regions showing tau deposition in Alzheimer’s disease (AD) and hence a key focus area for AD imaging biomarkers. However, the anatomical variability of the anterior MTL presents a challenge for segmentation protocols. Leveraging a novel postmortem dataset with histology and MRI, we aimed to develop a histologically‐informed segmentation protocol for the anterior entorhinal cortex (ERC), Brodmann Area (BA) 35 (approximates transentorhinal cortex), and BA36 for in vivo 3 tesla (T) MRI.MethodDigitized 50‐µm thick MTL Nissl‐stained coronal histology sections from 20 cases (Table 1) were annotated by expert neuroanatomists. Cases with and without neurodegenerative diseases were included to ensure broad generalizability of the protocol. The histology sections were registered to same‐subject 0.2×0.2×0.2‐mm3 9.4 T postmortem MRI and were analyzed together to determine the location of the histological borders of the MTL cortices in relation to anatomical landmarks observable on MRI.ResultThe distance between the anterior histological border of ERC, BA35 and BA36 was assessed in relation to different anatomical landmarks observable on MRI. The distance relative to the hippocampus was chosen, as there was relatively low between‐subject variability in distance (low SD in Table 2) and this region is easily identifiable on MRI. The ERC starts 4.75 mm (median) anterior to the hippocampus, BA35 9.25 mm and BA36 10.25 mm. There was no significant difference in distances between patients with and without neurodegenerative disease. Next, we analyzed the location of the ERC on histology sections. We determined that regardless of the depth of the collateral sulcus (CS) (contrary to more posterior regions), the inferior border of the ERC is on average at the edge of the CS and the superior border at the superior edge of the parahippocampal gyrus (Figure 1a), but at the halfway point for the first section with ERC. These segmentation rules for ERC can be applied to T1‐MRI (Figure 1b).ConclusionSegmentation rules for anterior BA35 and BA36 are under development. This histologically‐informed segmentation protocol is expected to improve the efficacy of imaging biomarkers for tau deposition in AD.

A comparison of machine learning and econometric models for pricing perpetual Bitcoin futures and their application to algorithmic trading

AbstractBitcoin (BTC) perpetual futures contracts are highly leveraged speculative trading instruments with daily market trading of $45 Billion. BTC perpetual futures are derivative contracts, which depend upon the underlying BTC SPOT (current) price. Pricing perpetual futures fairly is hard, using traditional arbitrage arguments, because of the volatile nature of the so called funding rate, which is used as the replacement of risk free rate in the Cryptocurrency market. This work presents a novel technique for pricing BTC futures contracts using conditional volatility and mean models. Intra‐day high‐frequency futures' return volatility and mean are modelled using different ML and econometric techniques. A comparison is made using statistical measures to find the model that best captures the intra‐day conditional mean and volatility. Exponential generalized autoregressive conditional heteroskedasticity is shown to be an almost unbiased predictor of intra‐day volatility, while a constant autoregressive moving average (0, 0) model best captures the conditional mean of the returns. A market directional high frequency trading algorithm is developed using the volatility and mean models. The algorithm first prices the futures contract at some future point of time using the volatility and mean regression models. Next, the slope between the current futures price and the expected price are used to predict the market direction. A long or short position is taken depending upon the expected market direction movement. Extensive back‐testing results show absolute returns of 1500%–8000% depending upon the transaction fees and leverage used. On average, the market direction is predicted correctly 85% of the time by the best model. Finally, the trading technique is market neutral, in that it gives large positive returns, with low SD, in both bull and bear markets.

The role of organizations in shaping physician use of electronic health records.

The aim of the study was to (1) characterize organizational differences in primary care physicians' electronic health record (EHR) behavior; (2) assess within-organization consistency in EHR behaviors; and (3) identify whether organizational consistency is associated with physician-level efficiency. EHR metadata capturing averaged weekly measures of EHR time and documentation composition from 75,124 US primary care physicians across 299 organizations between September 2020 and May 2021 were taken. EHR time measures include active time in orders, chart review, notes, messaging, time spent outside of scheduled hours, and total EHR time. Documentation composition measures include note length and percentage use of templated text or copy/paste. Efficiency is measured as the percent of visits with same-day note completion. All analyses are cross-sectional. Across-organization differences in EHR use and documentation composition are presented via 90th-to-10th percentile ratios of means and SDs. Multilevel modeling with post-estimation variance partitioning assesses the extent of an organizational signature-the proportion of variation in our measures attributable to organizations (versus specialty and individual behaviors). We measured organizational internal consistency for each measure via organization-level SD, which we grouped into quartiles for regression. Association between internally consistent (i.e., low SD) organizational EHR use and physician-level efficiency was assessed with multi-variable OLS models. Extraction from Epic's Signal platform used for measuring provider EHR efficiency. EHR time per visit for physicians at a 90th percentile organization is 1.94 times the average EHR time at a 10th percentile organization. There is little evidence, on average, of an organizational signature. However, physicians in organizations with high internal consistency in EHR use demonstrate increased efficiency. Physicians in organizations with the highest internal consistency (top quartile) have a 3.77 percentage point higher same-day visit closure rates compared with peers in bottom quartile organizations (95% confidence interval: 0.0142-0.0612). Results suggest unrealized opportunities for organizations and policymakers to support consistency in how physicians engage in EHR-supported work.

Preparation and in vitro evaluation of donepezil hydrochloride orodispersible tablets

Objective: The present study was aimed to prepare and evaluate Donepezil HCl Orodispersible tablets (DO-ODTs) using natural and synthetic superdisintegrants to increase patient compliance. Methods: Direct compression was adapted using crospovidone, croscarmellose sodium as synthetic and mucilage isolated from fruits of Abelmoschus esculentus as natural superdisintegrants at different concentrations along with microcrystalline cellulose and aerosil. The powder mixture were subjected for pre and post compression evaluation including FTIR spectroscopy, micromeritic properties, tablet weight variation, hardness, friability, drug content, wetting time, dispersion time, water absorption ration, disintegration time and in vitro drug release. Results: The low SD indicate the drug content was uniform, FTIR suggest no interaction between the drug and the excipients used. The DO-ODTs prepared with croscarmellose at higher concentration shows better in vitro drug release and relative properties than the DO-ODTs prepared with crospovidone and Abelmoschus esculentus. Conclusion: The results of this work reveals that DO-ODTs shows water absorption, dispersion, rapid disintegration time, fast drug release and good hardness, further conclude that DO-ODTs can be efficiently and successfully formulated by direct compression method.

Application of quality-by-design for adopting an environmentally green fluorogenic determination of benoxinate hydrochloride in eye drops and artificial aqueous humour

Herein, a sensitive and selective spectrofluorimetric method has been developed for the determination of the ocular local anesthetic benoxinate hydrochloride (BEN-HCl) in eye drops and artificial aqueous humour. The proposed method is based on the interaction of fluorescamine with the primary amino group of BEN-HCl at room temperature. Following the excitation of the reaction product at 393 nm, the emitted relative fluorescence intensity (RFI) was measured at 483 nm. The key experimental parameters were carefully examined and optimized by adopting an analytical quality-by-design approach. The method used a two-level full factorial design (24 FFD) to obtain the optimum RFI of the reaction product. The calibration curve was linear at the range of 0.10–1.0 μg/mL of BEN-HCl with sensitivity down to 0.015 μg/mL. The method was applied for analyzing the BEN-HCl eye drops and could also assess its spiked levels in artificial aqueous humour with high % recoveries (98.74–101.37%) and low SD values (≤ 1.11). To investigate the green profile of the proposed method, a greenness assessment was performed with the aid of the Analytical Eco-Scale Assessment (ESA) and GAPI. The developed method obtained a very high ESA rating score in addition to being sensitive, affordable, and environmentally sustainable. The proposed method was validated according to ICH guidelines.

QTL analysis and candidate gene prediction for seed density per silique by QTL-seq and RNA-seq in spring Brassica napus L.

Seed density per silique (SD) is an important agricultural trait and plays an important role in the yield performance of Brassica napus L. (B. napus). In this study, a genetic linkage map was constructed using a double haploid (DH) population with 213 lines derived from a cross between a low SD line No. 935 and a high SD line No. 3641, and a total of 1,098,259 SNP (single-nucleotide polymorphisms) markers and 2,102 bins were mapped to 19 linkage groups. Twenty-eight QTLs for SD were detected on chromosomes A02, A04, A05, A09, C02, C03, C06, and C09 of B. napus, of which eight QTLs were on chromosome A09 and explained 5.89%-13.24% of the phenotypic variation. Furthermore, a consistent QTL for SD on chromosome A09, cqSD-A9a, was identified in four environments by QTL meta-analysis, explaining 10.68% of the phenotypic variation. In addition, four pairs of epistatic interactions were detected in the DH population via QTL epistasis analysis, indicating that SD is controlled not only by additive effects but also by epistatic effects that play an important role in spring B. napus., but with little environmental effect. Moreover, 18 closely linked SSR markers for cqSD-A9a were developed, as a result, it was mapped to a 1.86Mb (7.80-9.66 Mb) region on chromosome A09. A total of 13 differentially expressed genes (DEGs) were screened in the candidate interval by RNA-seq analysis, which were differentially expressed in buds, leaves and siliques both between and siliques both between two parents and two pools of extremely high-SD and low-SD lines in the DH population. Three of 13 DEGs were possible candidate genes that might control SD: BnaA09g14070D, which encodes a callose synthase that plays an important role in development and stress responses; BnaA09g14800D, a plant synaptic protein that encodes a membrane component; and BnaA09g18250D, which is responsible for DNA binding, transcriptional regulation, and sequence-specific DNA binding and is involved in the response to growth hormone stimulation. Overall, these results lay a foundation for fine mapping and gene cloning for SD in B. napus.

Clean mucosal area detection of gastroenterologists versus artificial intelligence in small bowel capsule endoscopy.

Studies comparing the detection of clean mucosal areas in capsule endoscopy (CE) using human judgment versus artificial intelligence (AI) are rare. This study statistically analyzed gastroenterologist judgments and AI results. Three hundred CE video clips (100 patients) were prepared. Five gastroenterologists classified the video clips into 3 groups (≥75% [high], 50%-75% [middle], and < 50% [low]) according to their subjective judgment of cleanliness. Visualization scores were calculated using an AI algorithm based on the predicted visible area, and the 5 gastroenterologists' judgments and AI results were compared. The 5 gastroenterologists evaluated CE clip video quality as "high" in 10.7% to 36.7% and as "low" in 28.7% to 60.3% and 29.7% of cases, respectively. The AI evaluated CE clip video quality as "high" in 27.7% and as "low" in 29.7% of cases. Repeated-measures analysis of variance (ANOVA) revealed significant differences in the 6 evaluation indicators (5 gastroenterologists and 1 AI) (P < .001). Among the 300 judgments, 90 (30%) were consistent with 5 gastroenterologists' judgments, and 82 (91.1%) agreed with the AI judgments. The "high" and "low" judgments of the gastroenterologists and AI agreed in 95.0% and 94.9% of cases, respectively. Bonferroni's multiple comparison test showed no significant difference between 3 gastroenterologists and AI (P = .0961, P = 1.0000, and P = .0676, respectively) but a significant difference between the other 2 with AI (P < .0001). When evaluating CE images for cleanliness, the judgments of 5 gastroenterologists were relatively diverse. The AI produced a relatively universal judgment that was consistent with the gastroenterologists' judgements.

Effect of Stocking Density on Skeletal Development of Turkey Poults

Stocking density is one of the important aspects of housing management. Increased stocking density can influence the skeletal development of broilers negatively and can increase the leg abnormalities thereby generating welfare issue for the same. To study the effect of stocking density, an experiment was conducted at poultry farm, DUVASU, Mathura. Week old turkey poults were distributed randomly on uniform body weight basis in three treatment groups- T-1: standard stocking density (2.5 ft2 per bird); T-2: high stocking density (1.25 ft2 per bird) and T-3: low stocking density (5 ft2 per bird). Tibia and femur were separated from the sacrificed birds and dried in oven at 1050C for 72 hours. There after cooling down to room temperature, the bones were weighed. Digital radiographs of the bones were taken. The dimensions and thickness of the bones were measured. Average femur length was found to be significantly higher (p&lt;0.01) in standard and high SD treatments than the low SD treatment. Radiographic density of Tibia medulla was found to be significantly higher (p&lt;0.01) in low SD treatment than the other two SD treatments.

Prevalence and predictors of unrecognized low sexual desire in men with new onset erectile dysfunction – findings from a cross-sectional, real-life study

The interrelationship between sexual desire and erectile dysfunction (ED) has been variously investigated. We aimed to investigate the prevalence of and the predictors of unrecognized low sexual desire (LSD) in the real-life setting. Data from 1509 men seeking first medical help for new-onset ED at a single andrology centre were analyzed. All participants self-reported the presence of LSD. Moreover, patients completed the International Index of Erectile Function (IIEF) and the Beck Depression Inventory (BDI). Depressive symptoms were defined as BDI ≥11. The median value of the IIEF-Sexual desire domain (IIEF-SD = 7) was arbitrarily used to categorize the cohort in low vs. normal SD. Hypogonadism was defined as total testosterone (tT) < 3.0 ng/mL. Descriptive statistics and logistic regression models tested the association between clinical variables and unrecognized LSD. Of 1197 (79.3%) patients not self-reporting LSD, 369 (30.8%) had IIEF-SD <7. Patients with unrecognized LSD were older [median (IQR) 54 yrs (41-63) vs. 49 yrs (36-59), p<0.001], had lower IIEF-EF [10 (5-20) vs. 22 (11-28)] but higher BDI [6 (3-12) vs. 4 (1-8)] and lower tT [4.3 (3.2-5.7) vs. 4.7 (3.2-7.3) ng/ml] (all p<0.001). Overall, men with unrecognized LSD presented a higher rate of severe ED (50% vs. 24%, p<0.001), and of BDI suggestive for depressive symptoms (30.6% vs. 18.3%) and of hypogonadism (19.9% vs. 10%) (all p<0.001). At multivariable logistic regression analysis, lower tT, not suggestive for hypogonadism (OR 0.91, p=0.03), lower IIEF-EF (OR 0.94, p<0.001) and BDI suggestive for depressive symptoms (OR 1.83, p<0.001) were independent predictors of unrecognized LSD, after accounting for age. One out of three men seeking first medical help for ED showed unrecognized LSD. Men with unrecognized LSD were older, had higher rates of severe ED and depressive symptoms and lower tT values than men with normal SD. None

Population-based input function (PBIF) applied to dynamic whole-body 68Ga-DOTATOC-PET/CT acquisition.

To validate a population-based input function (PBIF) model that alleviates the need for scanning since injection time in dynamic whole-body (WBdyn) PET. Thirty-seven patients with suspected/known well-differentiated neuroendocrine tumors were included (GAPETNET trial NTC03576040). All WBdyn 68Ga-DOTATOC-PET/CT acquisitions were performed on a digital PET system (one heart-centered 6 min-step followed by nine WB-passes). The PBIF model was built from 20 image-derived input functions (IDIFs) obtained from a respective number of patients' WBdyn exams using an automated left-ventricle segmentation tool. All IDIF peaks were aligned to the median time-to-peak, normalized to patient weight and administrated activity, and then fitted to an exponential model function. PBIF was then applied to 17 independent patient studies by scaling it to match the respective IDIF section at 20-55 min post-injection time windows corresponding to WB-passes 3-7. The ratio of area under the curves (AUCs) of IDIFs and PBIF3-7 were compared using a Bland-Altman analysis (mean bias ± SD). The Patlak-estimated mean Ki for physiological uptake (Ki-liver and Ki-spleen) and tumor lesions (Ki-tumor) using either IDIF or PBIF were also compared. The mean AUC ratio (PBIF/IDIF) was 0.98 ± 0.06. The mean Ki bias between PBIF3-7 and IDIF was -2.6 ± 6.2% (confidence interval, CI: -5.8; 0.6). For Ki-spleen and Ki-tumor, low relative bias with low SD were found [4.65 ± 7.59% (CI: 0.26; 9.03) and 3.70 ± 8.29% (CI: -1.09; 8.49) respectively]. For Ki-liver analysis, relative bias and SD were slightly higher [7.43 ± 13.13% (CI: -0.15; 15.01)]. Our study showed that the PBIF approach allows for reduction in WBdyn DOTATOC-PET/CT acquisition times with a minimum gain of 20 min.

Alignment Between Heart Rate Variability From Fitness Trackers and Perceived Stress: Perspectives From a Large-Scale In Situ Longitudinal Study of Information Workers.

BackgroundStress can have adverse effects on health and well-being. Informed by laboratory findings that heart rate variability (HRV) decreases in response to an induced stress response, recent efforts to monitor perceived stress in the wild have focused on HRV measured using wearable devices. However, it is not clear that the well-established association between perceived stress and HRV replicates in naturalistic settings without explicit stress inductions and research-grade sensors.ObjectiveThis study aims to quantify the strength of the associations between HRV and perceived daily stress using wearable devices in real-world settings.MethodsIn the main study, 657 participants wore a fitness tracker and completed 14,695 ecological momentary assessments (EMAs) assessing perceived stress, anxiety, positive affect, and negative affect across 8 weeks. In the follow-up study, approximately a year later, 49.8% (327/657) of the same participants wore the same fitness tracker and completed 1373 EMAs assessing perceived stress at the most stressful time of the day over a 1-week period. We used mixed-effects generalized linear models to predict EMA responses from HRV features calculated over varying time windows from 5 minutes to 24 hours.ResultsAcross all time windows, the models explained an average of 1% (SD 0.5%; marginal R2) of the variance. Models using HRV features computed from an 8 AM to 6 PM time window (namely work hours) outperformed other time windows using HRV features calculated closer to the survey response time but still explained a small amount (2.2%) of the variance. HRV features that were associated with perceived stress were the low frequency to high frequency ratio, very low frequency power, triangular index, and SD of the averages of normal-to-normal intervals. In addition, we found that although HRV was also predictive of other related measures, namely, anxiety, negative affect, and positive affect, it was a significant predictor of stress after controlling for these other constructs. In the follow-up study, calculating HRV when participants reported their most stressful time of the day was less predictive and provided a worse fit (R2=0.022) than the work hours time window (R2=0.032).ConclusionsA significant but small relationship between perceived stress and HRV was found. Thus, although HRV is associated with perceived stress in laboratory settings, the strength of that association diminishes in real-life settings. HRV might be more reflective of perceived stress in the presence of specific and isolated stressors and research-grade sensing. Relying on wearable-derived HRV alone might not be sufficient to detect stress in naturalistic settings and should not be considered a proxy for perceived stress but rather a component of a complex phenomenon.

Development of semi-quantitative urinary sodium test strip.

Excessive salt consumption has been associated with greater risk of hypertension. Therefore, monitoring of dietary sodium consumption should be prioritized. As sodium is mainly excreted through urine, 24-h urine sample can be used to estimate individual sodium intake. Thus, a simple and inexpensive semi-quantitative urinary sodium detection test strip was developed based on the enzymatic reaction between β-galactosidase and chlorophenol red-β-d-galactopyranoside. When tested, color formation was distinguished at 0M (chartreuse yellow), 0.05M (sunflower), 0.1-0.15M (mango tango), and 0.2-0.25M (persimmon) sodium. Analysis from ImageJ showed a linear result (r2 >0.9), low SD, and significant increase in magenta difference (p<0.01) between 0 and 0.05-0.25M sodium. Test strip can detect 0.03M sodium at minimum but did not last for >2 days in adverse storage conditions (laboratory conditions, ∼80% relative humidity, 40°C, and direct light exposure) when stored in test strip bottles, and even shorter when exposed to the environment. The presence of urinary potassium, urea, and glucose did not affect test strip performance. Test strip produced comparable results to flame photometry with <15% variation when tested on overnight, random spot, and 24-h urine samples. Overall, the developed test strip can be used to enzymatically semi-quantify 0.05-0.25M sodium.

Non‐exchangeable stable hydrogen isotope ratios in clay minerals and soil clay fractions: A method test

AbstractStable hydrogen isotope ratios (δ2H values) in structural hydroxyl groups of pedogenic clay minerals are inherited from the surrounding water at the time of their formation. Only non‐exchangeable H preserves the environmental forensic and paleoclimate information (δ2Hn value). To measure δ2Hn values in structural H of clay minerals and soil clay fractions, we adapted a steam equilibration method by accounting for high hygroscopicity. Our δ2Hn values for USGS57 biotite (−95.3 ± SD 0.9‰) and USGS58 muscovite (30.7 ± 1.4‰) differed slightly but significantly from the reported δ2H values (−91.5 ± 2.4‰ and −28.4 ± 1.6‰), because the minerals contained 1.1%–4.4% of exchangeable H. The low SD of replicate measurements (n = 3) confirmed a high precision. The clay separation method including destruction of Fe oxides, carbonates and soil organic matter, and dispersion did not significantly change the δ2Hn values of five different clay minerals. However, we were unable to remove all organic matter from the soil clay fractions resulting in an estimated bias of 1‰ in two samples and 15‰ in the carbon‐richest sample. Our results demonstrate that δ2Hn values of structural H of clay minerals and soil clay fractions can be reliably measured without interference from atmospheric water and the method used to separate the soil clay fraction.Highlights We tested steam equilibration to determine stable isotope ratios of structural H in clay. Gas‐tight capsule sealing in Ar atmosphere was necessary to avoid remoistening. Our steam equilibration method showed a high accuracy and precision. The clay separation method did not change stable isotope ratios of structural H in clay.

Growth, carcass parameters, biochemical and oxidative stress indices, and meat traits of duck breeds under different stocking densities

This investigation was aimed to inspect if there is an influence of various stocking density on growth, carcass parameters, blood indices, and meat traits of Muscovy and Mallard ducks. One hundred twenty-six 1-day-old of each Muscovy and Mallard ducks were randomly allocated into three experimental groups with different stocking density. Group one (SD1) was 5 ducks/m2, while group 2 (SD2) was 7 ducks/m2 and group 3 (SD3) was 9 ducks/m2. The growth, carcass parameters, meat quality, blood indices were calculated. Body weight of SD1 was 18 and 4.5% heavier than SD2, while, it was 29.5 and 12% heavier than SD3 of Muscovy and Mallard duck breeds, respectively. SD3 possessed the highest levels of, H/L, ALT, AST, LDL, VLDL, and MDA with the lowest levels of lymphocyte, SOD,GSH, GPX, C3, total antioxidant capacity and IGG of both ducks' breeds. The carcass weight decreased by 40 and 15% from SD1 to SD3 in Muscovy and mallard ducks, respectively. The dressing % was highest at SD1 (84 and 83%) when compared with SD3(71and80%) of Muscovy and Mallard ducks, respectively. Cooking loss was 20 and 16% greater in group three when compared with group one in Muscovy and Mallard ducks, respectively. In conclusion ducks raised in low SD possessed the best performance with better welfare.

Prevalence and predictors of unrecognized low sexual desire in men with new onset erectile dysfunction – findings from a cross-sectional, real-life study

ABSTRACT Introduction The interrelationship between male sexual desire and erectile dysfunction (ED) has been variously investigated. Objectives We aimed to investigate the prevalence of and the predictors of unrecognized low sexual desire (LSD) in a cohort of men seeking medical help for new onset ED in the real-life setting. Methods Data from 1509 men seeking first medical help for new-onset ED at a single andrology centre between 01/2010 and 01/2020 were analyzed. Patients were assessed with a thorough medical and sexual history. Comorbidities were scored with the Charlson Comorbidity Index (CCI). All participants were asked to self-report the presence of LSD. Moreover, patients completed the International Index of Erectile Function (IIEF) and the Beck Depression Inventory (BDI). Depressive symptoms were defined as BDI ≥11. The median value of the IIEF-Sexual desire domain (IIEF-SD) was used to categorize the cohort in low SD (IIEF-SD &amp;lt;7) vs. normal SD (IIEF-SD ≥7). The IIEF-Erectile function (IIEF-EF) domain was categorized according to Cappelleri's criteria. Circulating hormones were measured in every patient. Hypogonadism was defined as total testosterone (tT) &amp;lt; 3.0 ng/mL. Descriptive statistics and logistic regression models tested the association between clinical variables and unrecognized LSD. Results Overall, 312 (20.7%) patients self-reported LSD and were excluded from further analyses. Of 1197 patients not self-reporting LSD, 369 (30.8%) had IIEF-SD &amp;lt;7 (arbitrarily defined as unrecognized LSD). Patients with unrecognized LSD were older [median (IQR) 54 yrs (41-63) vs. 49 yrs (36-59), p&amp;lt;0.001], had lower IIEF-EF [10 (5-20) vs. 22 (11-28)] but higher BDI [6 (3-12) vs. 4 (1-8)] and lower tT [4.3 (3.2-5.7) vs. 4.7 (3.2-7.3) ng/ml] (all p&amp;lt;0.001) than men without LSD. Overall, men with unrecognized LSD presented a higher rate of severe ED (50% vs. 24%, p&amp;lt;0.001), and of BDI suggestive for depressive symptoms (30.6% vs. 18.3%) and of hypogonadism (19.9% vs. 10%) (all p&amp;lt;0.001). At multivariable logistic regression analysis, lower tT, despite not suggestive for hypogonadism (OR 0.91, p=0.03), lower IIEF-EF (OR 0.94, p&amp;lt;0.001) and BDI suggestive for depressive symptoms (OR 1.83, p&amp;lt;0.001) were found to be independent predictors of unrecognized LSD, after accounting for age. Conclusions One out of three men seeking first medical help for ED showed unrecognized LSD according to the IIEF-SD domain scores. Men with unrecognized LSD were older, had higher rates of severe ED and depressive symptoms and lower tT values despite not suggestive for hypogonadism than men with normal SD. A detailed investigation of sexual desire should be always included in the diagnostic work-up of men with ED, in order to better tailoring patient therapeutic management. Disclosure Work supported by industry: no.

Molecular structural investigations of quinoxaline derivatives through 3D-QSAR, molecular docking, ADME prediction and pharmacophore modeling studies for the search of novel antimalarial agent

In the present article, a dataset of 63 quinoxaline derivatives were taken for antimalarial activity and pharmacophore were developed. Atom based method was used to develop a three dimensional quantitative structure activity relationship (3D-QSAR) model. On comparison of all statistical parameters, model AHRRR23 was found to be the most effective and predictive QSAR model as it satisfied all statistical parameters of a good model. The model AHRRR23 showed an adequate R2 value for the training set 0.9446, good predictive power with Q2 of 0.6409, good F- value, low SD 0.1218 value and outstanding Pearson-R values and low RMSE 0.2779 values of the model. The docking studies also gives very good results with good RMSD values. 3D QSAR, docking and ADME studies exhibits that the developed model could be employed as a potential lead for further study as antimalarial drug.