Index Values Research Articles

Shock index reference ranges in the first 48h postpartum following elective cesarean delivery: A prospective cohort study.

To determine the reference values for the shock index (SI) in postpartum patients undergoing elective cesarean delivery with regional anesthesia. This prospective study was conducted at our tertiary center between August 1, 2023, and March 1, 2024. We calculated the reference values for the SI within the first 48h postpartum for patients who underwent elective cesarean delivery after the 34th week of gestation. We excluded cases of vaginal delivery, post-term delivery (≥42weeks of gestation), multiple pregnancies, stillbirths, fetal abnormalities, maternal cardiac disease, anemia, untreated hypo- or hyperthyroidism, and any hypertensive disorders diagnosed before or during pregnancy. Data collection, measurement of vital signs, and the administration of fluids pre-, intra-, and post-operatively, as well as the use and dosing of uterotonic agents for the prevention of postpartum hemorrhage (PPH), were standardized for all patients. Our final analysis included 311 patients, with a mean SI value of approximately 0.7 (0.67-0.77) for all measurement performed within the first 48h of the postpartum period. Further analyses revealed that the 90th and 95th percentiles of SI were around 0.9 throughout the study period. Additionally, SI reference values analyzed at different time points were consistent. Our analysis demonstrated that SI values were not influenced by the presence of a previous caesarean section, the administration of oxytocin or carbetocin, or parity in this particular cohort. Our analyses of vital signs also indicated that the 95th percentile of heart rate (HR) ranged from 96 to 100bpm. An SI value of 0.9 represents the 95th percentile of SI values throughout the first 48h of the postpartum period. Any greater value should be evaluated carefully for potential adverse outcomes.

Tryptophan and/or canthaxanthin in quail diets: effects on performance, carcass traits, hematology, blood chemistry and hepatic antioxidant capacity.

To enhance the health and performance of poultry, novel approaches have to be created. Using appropriate nutritional interventions to enhance body physiology and thus enhance productivity is one of these approaches. The purpose of the present investigation intended to examine how growing quail physiology and growth is affected by supplementing diets with tryptophan (Trp) and/or canthaxanthin (CX). The sum of 200 unsexed, 1-week-age Japanese quails (Coturnix coturnix japonica), with a nearly similar body weight (BW) of 33.50 ± 1.20 g, were assigned, in random, to four experimental groups. Each group consisted of five replicates, with 10 birds per replicate. Chicks in group 1 (T1) served as the control and were fed a basal diet without any supplementation from week 1 to week 5. The second (T2) and third (T3) groups received feed supplemented with 0.01 % Trp and 0.005 % CX, respectively. The fourth group (T4) was given a diet containing a combination of 0.01 % Trp and 0.005 % CX. Results indicated that supplementation with Trp, CX, or their combination significantly (P < 0.05) enhanced live BW and body weight gain (BWG) at 5 weeks. No noticeable variations in carcass characteristics were found across all treatments over the whole trial duration. Blood levels of high-density lipoprotein were considerably greater in the Trp and/or CX-fed group than in the control group. Adding Trp and/orCX to quail diets significantly (P < 0.05) decreased the activity of liver enzymes (alanine transaminase, ALT; aspartate transaminase, AST; alkaline phosphatase, ALP), along with reduced low-density lipoprotein (LDL) levels. Birds received diets with Trp and/or CX had higher values of antioxidant indices in serum and liver (P < 0.05), accompanied by low values of malondialdehyde compared to control group. We concluded that adding quail diet with Trp and/orCX had positive consequences on the growth performance and some physiological indices.

A harmonized dataset relating alternative farmer management practices to crop yield, soil organic carbon stock, nitrous oxide emissions, and nitrate leaching generated using IPCC methodologies and meta-analyses.

Farming practices such as soil tillage, organic/mineral fertilization, irrigation, crop selection and residues management influence multiple ecosystem services provided by agricultural systems. These practices exhibit complex, non-linear interrelationships that affect crop productivity, water quality, and non-carbon dioxide greenhouse gases (GHG) emissions, possibly offsetting their benefits regarding soil organic carbon (SOC) sequestration. Current methodologies from the Intergovernmental Panel on Climate Change (IPCC) for assessing the impacts of alternative farming practices on GHG emissions rely on global or country-specific coefficients. However, these methods often do not explicitly account for the combined effects of management practices on carbon and nitrogen cycles or productivity, as this is not required for national GHG inventories. Here we present a new dataset featuring 1.8 Mln of agronomic case scenarios, i.e., unique combinations of farming practices and pedoclimatic conditions, which have been associated with values of SOC changes, nitrous oxide emissions, nitrate-nitrogen leaching, and crop yield. To synthesize trade-offs and synergies between farming practices, each case scenario has been ranked with a ∑ommit index (∑i) value, a fuzzy-based measure ranging from 0 (bad) to 1 (good). The four trade-off components have been estimated by combining available information from i) the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, ii) the guidelines for Green Water Footprint Accounting, iii) the Italian National Institute of Statistics, iv) and other international meta-analytic studies. The dataset presents four ∑i series, corresponding to alternative perceptions of sustainability from three potential stakeholder categories (young farmers' cooperative, agrochemical company, public agricultural policy agency) plus one equally weighted option. By providing a harmonized data source and an innovative metric, this dataset allows users to explore trade-offs associated with alternative management practices across four key agricultural components and assess their impact on perceived agroecosystem sustainability.

Enhancing single image dehazing with self-supervised convolutional neural network and dark channel prior integration

The removal of noise from images holds great significance as clear and denoised images are vital for various applications. Recent research efforts have been concentrated on the dehazing of single images. While conventional methods and deep learning approaches have been employed for daytime images, learning-based techniques have shown impressive dehazing results, albeit often with increased complexity. This has led to the persistence of prior-based methods, despite their slightly lower performance. To address this issue, we propose a novel deep learning-based dehazing method utilizing a self-supervised convolutional neural network (CNN). This approach incorporates both the input hazy image and the dark channel prior. By leveraging an encoder, the combined information of the dark channel prior and haze image is encoded into a condensed latent representation. Subsequently, a decoder is employed to reconstruct the clean image using these latent features. Our experimental results demonstrate that our proposed algorithm significantly enhances image quality, as indicated by improved peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) values. We perform both quantitative and qualitative comparisons with recently published techniques, showcasing the efficacy of our approach.

Physicochemical, structural properties, and in vitro digestibility of starches isolated from Amorphophallus konjac K. Koch and Amorphophallus dunnii: A comparison study.

This study compared the physicochemical and structural properties, and in vitro digestibility of Amorphophallus konjac K. Koch starch (AKS) and Amorphophallus dunnii starch (ADS), by using potato starch (PS) as a control. ADS exhibited larger granule sizes, which led to higher transparency, swelling power (SP), and water solubility than AKS. Both AKS and ADS exhibited A-type crystalline patterns; however, ADS demonstrated higher relative crystallinity, gelatinization transition temperatures, and enthalpies of gelatinization, which may be due to higher 1047/1022 and more double helix contents. Regarding rheological and pasting properties, ADS exhibited greater viscosity than that of AKS, likely due to larger particle size and higher SP. In vitro digestion analysis revealed that >50 % of each starch type consisted of rapidly digestible starch. Notably, ADS contained the highest amount of resistant starch among the three types. The estimated glycemic index (eGI) values of AKS and ADS were 65.54 ± 0.54 and 63.28 ± 0.36, respectively, indicating that both starch types belong to the medium GI food category, though AKS was significantly higher than ADS. These findings suggest that konjac starch serves as a beneficial dietary carbohydrate alternative. AKS may be suited for fast-digesting food formulas for individuals with digestive impairment, whereas ADS could be advantageous for those managing diabetes.

Fluoride and nitrate contamination in groundwater of Naini Industrial Area, Uttar Pradesh: assessing non-carcinogenic human health risk

Groundwater is the main source of drinking water globally; however, its quality has been deteriorated due to various geogenic and anthropogenic activities. The groundwater quality of Naini Industrial Area, Prayagraj was studied seasonally to evaluate the fluoride and nitrate contamination pertaining to human health risk assessment. The samples were collected from 60 locations in the pre- monsoon, monsoon, and post-monsoon season. The fluoride and nitrate were assessed with the help of Ion chromatography. The NO3– concentration exceeded the Indian drinking water quality standards in 27% of the groundwater samples. The NO₃⁻ contamination is predominantly associated with agricultural practices, while F⁻ can be linked to natural geological sources. The non-carcinogenic human health risk assessment was quantified by calculating the Hazard Quotient (HQ) and Hazard Index (HI) were calculated as per USEPA methodology for male, female and child population. The findings indicate that the child population is particularly susceptible to health risks associated with the ingestion of F– and NO₃⁻ through the drinking water pathway. Across all the sampled sites, the Hazard Index (HI) values varied from 0.10 to 12.3 for males, 0.09 to 10.6 for females, and 0.16 to 19.7 for children suggesting substantial risk to the local populace at more than half of the locations which is largely related to nitrate contamination. Thus, the study suggests that groundwater at many locations is unsuitable for drinking without treatment pertaining to the probable health risk they pose to consumers advocating upgraded water management plan for the residents.

Evaluation of some physicochemical parameters and health risks associated with potentially toxic elements (PTEs) in agricultural soils from the southwest region of Ethiopia

In this study, soil samples collected from Burusa and Bure agricultural sectors were analyzed for their physicochemical parameters and potentially toxic elements (Fe, Mn, Zn, Cu, Co, B, Se, Ni, Cr, Pb, Cd, As, and Hg). Physicochemical parameters were analyzed according to AOAC methods. For quantification of PTEs, the soil samples were digested by using aquaregia (HCl: HNO3; 3:1) and 5 mL of H2O2 (30%) at a digestion temperature of 250°C for 3 hours prior to ICP-OES analysis. The percent recoveries (%R) and relative standard deviation (%RSD) of this method ranged from 83 to 106% and 0.39 to 9.2%, respectively. The LODs and LOQ values were in the range of 4.3 × 10-4-5.3 × 10-2 mg/L and 1.4 × 10-3-1.76 × 10-1 mg/L, respectively. The analyzed mean values of physicochemical parameter including pH, temperature, electrical conductivity, moisture, organic matter and nitrogen content were found in the range of 4.85-6.47, 20.5-21.4°C, 101.6-230.7 µS/cm, 8.67-20.7%, 0.677-1.81% and 5.81-6.85%, respectively. The average amount of potentially toxic elements found in the soil samples were ranged as 57073-81279, 1185-3255, 41.0-72.2, 12.6-29.2, 18.8-50.8, 25.0-40.5, 42.2-60.8, 13.6-34.5, 41.9- 67.2, 25.0-59.4, 9.92-13.3, 0.933-1.12 and 4.97-8.63 in mg/kg for Fe, Mn, Zn, Cu, Co, B, Se, Ni, Cr, Pb, Cd, As and Hg, respectively. The highest concentrations of among the entire PTEs were recorded for Fe, followed by Mn, in the analyzed soil samples. All the studied elements are below the FAO/WHO permissible limit except Fe, Se, Cd, and Hg for all analyzed soil samples and Mn for the Bure soil sample. The target hazard quotient (THQ) and hazard index (HI) values are <1, suggesting an insignificant non-carcinogenic risk of the heavy metals to the adults via ingestion, inhalation, and dermal contact exposure of agricultural soils. Likewise, the individual element incremental lifetime cancer risk (ILCR) occurrence for all studied soil samples is below 1 × 10-4. The total ILCR of potentially toxic heavy metals (Ni, Cr, Pb, Cd and As) resulting from ingestion, inhalation, and dermal contact exposure of agricultural soil by an adult population indicate a slightly higher potential cancer risk (> 1 × 10-4) for soil samples obtained from Bure S1, Bure S2, and Bure S3. Therefore, continuous monitoring of these harmful elements should be made by agricultural sectors and responsible government regulatory authorities are crucial to prevent PTEs related to agricultural soils in Ethiopia.

Evaluating systemic immune-inflammation indices as predictive markers for endometriosis diagnosis: A retrospective observational study.

Endometriosis is a chronic inflammatory disease for which there is currently no accurate screening test to identify or predict the probability of the disease in individuals. This can often lead to delays in diagnosis. Several systemic immune-inflammation indices are currently used as predictive or supportive markers for several inflammation-associated diseases. In this study, we investigated whether these immune-inflammation indices, such as systemic immune inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), and pan-immune inflammation value (PIV) could serve as predictive or supplementary markers for diagnosing endometriosis. A total of 434 women with confirmed endometriosis and 517 controls were included in this study. Data on peripheral blood tests, including total counts of white cells, neutrophils, monocytes, lymphocytes, and platelets, were collected, and systemic immune-inflammation indices were calculated. SII, SIRI, NLR, and PIV values were significantly higher in women diagnosed with endometriosis compared to controls. Using the cut-off values of 538 for SII, 0.814 for SIRI, 2.03 for NLR, and 210 for PIV, we achieved 76 % sensitivity and 70 % specificity. When the four indices were combined, the area under the ROC curve (AUC) was 0.796 (95 % CI: 0.766, 0.827), with 76 % sensitivity and 70 % specificity. In conclusion, while ultrasonography or MRI remains the gold standard for visualizing the lesions in diagnosing endometriosis, followed by laparoscopy and histologic verification, routine peripheral blood tests in combination with clinical symptoms, could provide additional clinical diagnostic value for endometriosis as a non-invasive and cost-effective test.

The effects of rain and drought on incidence of enteric disease in Pennsylvania (2010-2019).

Campylobacter, nontyphoidal Salmonella, Cryptosporidium, and Giardia cause an estimated 1 million cases of domestically acquired waterborne diseases annually in the United States. Acute symptoms can include diarrhea and vomiting; however, these illnesses can result in longer term complications such as reactive arthritis, Guillan Barré syndrome and death, particularly in immunocompromised individuals. Precipitation and drought can plausibly increase the risk of enteric infections, but consensus in the literature is lacking. To determine the effects of rain and drought on weekly counts of reportable enteric illness (due to Salmonella, Campylobacter, Giardia, or Cryptosporidium) in Pennsylvania, US between 2010 and 2019. We obtained 10-years of data on confirmed illness from 66 Pennsylvania counties due to: Salmonella (9,924), Campylobacter (15,854), Giardia (4,537), and Cryptosporidium (4,017). A zero-inflated negative binomial model with random-intercept for county was used to assess the relationship between illnesses caused by these pathogens between 2010 and 2019, and weekly rain (cm) and Palmer Drought Severity Index (PDSI) values from the National Weather Service. The lag times that were tested, between illness and weather event, were chosen by calculating the cross correlation between the statewide average weekly rain and the statewide number of weekly cases. A positive association was found between rain and counts of campylobacteriosis, salmonellosis, and giardiasis. An increase in prior wetness (PDSI value) was associated with increased incidence rates of cryptosporidiosis and campylobacteriosis. The relationship between rain and PDSI and illness varied by organism type. Complex relationships exist between enteric disease and precipitation and prior environmental wetness. Our findings suggest that rainfall may be contributing to increased waterborne exposure. Further investigation is needed to explore these relationships with factors such as drinking water source, local geological conditions, presence of combined sewer overflows and agricultural activities, recreational water use and irrigation water sources to better elucidate important waterborne transmission pathways.

Association Between Breast Arterial Calcification on Mammography and Impaired Ocular Perfusion: A Novel Study Using Color Doppler Ultrasonography.

To investigate the relationship between the mammography-detected breast arterial calcification (BAC) and orbital color Doppler ultrasonography (CDUS) results. Our single-center study, included female patients who applied to our hospital between January and May 2022 and underwent mammography and orbital CDUS examinations. Two radiologists evaluated the mammograms, grouped the patients as BAC (+) and BAC (-), and performed orbital CDUS. Continuous variables obtained from CDUS were compared according to the presence of BAC. Also, receiver operating characteristics (ROC) analysis was used to determine the orbital CDUS threshold values for the presence of BAC. A total of 119 women were included with a median age of 62 years, 57 (47.90%) had BAC. Orbital CDUS examination was performed on both eyes of 119 patients (238 eyes in total). Peak systolic velocity (PSV) and end-diastolic velocity (EDV) values of the ophthalmic artery (OA) (P < .001) and EDV of the central retinal artery (CRA) (P < .001) were significantly lower in patients with BAC. Pulsatile index (PI) and resistive index (RI) values of OA (P < .001) and CRA (P < .001) were higher in patients with BAC. In ROC analysis, the cut-off values for the presence of BAC were calculated as OA PI ≥1.415 and OA RI ≥0.755 (P < .001); CRA PI ≥1.135 and CRA RI ≥0.655 (P < .001). Orbital perfusion disorders may be observed in patients with vascular calcification detected on routine mammography. Therefore, a more detailed evaluation of patients with BAC detected on mammography with orbital CDUS may enable early detection and treatment of ocular vascular problems.

The 6-Item Self-Efficacy Scale in Chronic Disease Management in Women With Endometriosis: A Turkish Validity and Reliability Study.

This study aimed to adapt the 6-Item Self-Efficacy Scale for Chronic Disease Management (SEMDC-6S) to women with endometriosis in the Turkish population and to evaluate its validity and reliability. This methodological study comprised of 200 women with endometriosis. The construct validity of the scale was tested using the confirmatory factor analysis methods. The reliability of the scale was tested using Cronbach's alpha coefficient, item-total score correlations and test-retest reliability analysis. It was determined that the SEMDC-6S consisted of six items and one subscale. In the confirmatory factor analysis, the fit index values of the scale were found to be acceptable. The intraclass correlation coefficient of test-retest reliability was 0.95, and Cronbach's alpha coefficient was 0.76. The Turkish version of the SEMDC-6S is a valid and reliable tool for assessing the self-efficacy of women with endometriosis.

Validity and Reliability of the Turkish Version of the Maternal Ambivalence Scale.

The aim of this study was to adapt the Maternal Ambivalence Scale (MAS) to Turkish culture and to conduct validity and reliability studies. The sample of the methodological type consisted of women (n = 302) who applied to the outpatient clinics of a university hospital in the north of Türkiye. The data of the study were collected with the Personal Information Form, Depression Anxiety Stress Scale-21 and MAS. Explanatory and confirmatory factor analysis was used to analyse the data, and Cronbach's alpha coefficient and item-total correlation were used to analyse internal consistency. Language validity of the scales was ensured by the translation-back-translation method and content validity according to expert opinions. It was found that MAS consists of three sub-dimensions as the original structure, factor loadings are above 0.30 and the explained variance is 55.219%. It was found that the fit index values of the scale were x2/SD value 2.74, CFI 0.895, RMSA 0.0761 and SRMR 0.0679 and the model was acceptable. Cronbach's alpha reliability coefficient of MAS was found to be 0.824, and the mean score was 23.04 ± 6.96. It was determined that Turkish MAS is valid and reliable measurement tool.

Natural recovery of different soil types after passes by wheeled military truck: Implications for soil as a ground for follow-on mobility operations

The trafficking of off-road military vehicles generates disturbed soil conditions. Thus, former active combat areas can have a serious effect on subsequent operations. More precisely, an uneven soil surface will remarkably increase the vibration of travelling vehicles, and over-compacted as well as displaced soil layers affect soil water dynamics that, in turn, have a long-lasting effect on soil strength. In addition, soil as a habitat for plants must provide air, water, and nutrients for the plants to grow. Luckily, soil can naturally recover from being disturbed thanks to freezing-thawing cycles, wetting–drying cycles, and biological activity. However, the rate of recovery depends on the physical parameters of soil. The objective of this study was to monitor and summarize the natural recovery rate of soils. As an experiment, single pass and repeated passes with military trucks (total weight 70 kN) were carried out. The ruts that formed were monitored and soil samples were collected up to 2 years after wheeling. The rut depth, cone index values, bulk density, soil moisture content as well as field-saturated hydraulic conductivity were measured and soil pore size distribution was determined in a laboratory during the entire studied recovery period. The results about the natural recovery on different soils are presented herein.

Sensing of nanostructured CdS thin films via several solution concentrations

Using chemical bath deposition (CBD) methods and various molarities, nanostructured CdS thin films were developed. XRD assured that these films were cubic polycrystalline, containing larger grains as the solution's concentration of cadmium ions increased. Dislocation density values dropped from 79.32 to 62.90 as a result, nevertheless. Also, the strain is lowered from 30.88 to 27.50. AFM results demonstrate that these films suffer a decrease in the value of average particle size, root mean square, and roughness with the molarity concentration. SEM images show CdS thin films at various molarities (0.10, 0.15, 0.20) M, indicating reduced grain size with increased concentration. The optical characteristics indicate a large band gap decreases from 2.46 eV to 2.34 eV and a high transmittance in the visible portion of the spectrum of more than 97.5%. The Refractive Index value changed from 3.23 to 3.11 as the content of cadmium ions increased. CdS films show p-type behavior, reducing resistance with NO2 gas, influenced by molar concentration. The sensitivity of CdS films to NO2 shows a decrement with increased molar concentrations.

Assessment of surface water quality in mining area: A case study of the southwest region of Burkina Faso

Mining activities, whether industrial or artisanal, are often responsible for the pollution of water resources, leading to significant degradation of water quality. This study aims to assess the quality of surface waters in three out of the four provinces of the South-Western region of Burkina Faso, an area known for its numerous mining sites. To evaluate the water quality in the study area and to assess the importance of each parameter in influencing this quality, we applied Weighted Arithmetic Water Quality Indices (WAWQI) and Hierarchical Cluster Analysis. These analyses were based on data obtained from the measurement of various physicochemical parameters (pH, electrical conductivity, total hardness, calcium, magnesium, sodium, potassium, bicarbonate, chloride, sulphate, nitrate, phosphate) and heavy metals (total iron, manganese, lead, cadmium, chromium, copper, zinc, arsenic) collected at the end of 2020. Samples were taken from a variety of sources: four rivers and five reservoirs. This approach provided a comprehensive assessment of the surface water quality in the study area. The results indicated that, of the twenty parameters analysed, only total iron consistently exceeded the World Health Organization (WHO) standards across all samples, while bicarbonate exceeded the standard in three instances and calcium-phosphate in one. The water quality index values ranged from 8.18 to 165.85, with an average of 46.84. Only one river sampling point, situated at the Poni province (SW4 at Poniro River), exhibited "poor" water quality, while all other water bodies exhibited water quality ranging from "good" to "excellent." The dendrogram analysis confirmed this finding by showing that total iron is separated from the other parameters, highlighting its negative role in the deterioration of water quality, whereas the other parameters play a positive role.

The content and associated health risk assessment of toxic elements, micro-, and macrominerals in common carp, Wels catfish, and silver carp from the Danube River in Serbia.

Three fish species (common carp, Wels catfish, and silver carp) were collected from three locations along the Danube River in Serbia, and fish meat was analyzed for the content of toxic elements, micro- and macrominerals. Silver carp had the highest lead (Pb), arsenic (As), and cadmium (Cd) content, while Wels catfish had the highest level of mercury (Hg). Moreover, metal pollution index (MPI) ranged from 0.1096 to 0.275 and among the fish, the silver carp had the highest MPI (from 0.21 to 0.28), indicating that it could be reliable bioindicator of river pollution. Maximum determined levels of As (0.1968mg/kg of w.w.), Hg (0.175mg/kg of w.w.), and Pb (0.0315mg/kg of w.w.) did not exceed values prescribed by the European Commission Regulation, Codex Alimentarius Commission, Food and Agriculture Organization (FAO), and national regulations, but Cd in silver carp was at levels higher than prescribed (0.0808mg/kg of w.w.). Furthermore, our study's results showed that the target hazard quotient (THQ) of each analyzed element and hazard index (HI) were < 1, indicating that consumers would not be exposed to adverse health effects after consuming these fish species from the Danube River. Regarding target cancer risk (TR), for Pb this was below 10-6, which was regarded as negligible, while TRs for As and Cr were between 10-4 and 10-6, which was regarded as acceptable. Moreover, since the studied fish had low values of health risk indexes, it could be concluded that fish meat did not pose a significant risk to human health.

Toxic metal contamination in edible salts and its attributed human health risks: a systematic review and meta-analysis.

Sodium chloride, commonly referred to as table salt, is the most widely utilized seasoning in culinary applications. Nevertheless, the most of oral salts used contain impurities. Arsenic (As), mercury (Hg), cadmium (Cd), and lead (Pb) are the most common impurities found in salt. In this meta-analysis, we examined the status of Pb, Hg, Cd, and As in the salt sample consumed in Iran. For this purpose, a complete search was carried out in English (Scopus, PubMed, and Web of Science) and Persian (Scientific Information Database, IranMedex, and Magiran) electronic databases to identify related articles published by July 2024. In the present meta-analysis, twelve studies with a total number of 610 salt samples were included in the analyses. According to the findings, the pooled mean levels of Hg, Pb, As, and Cd were 0.06µg/g (95% CI: 0.04-0.08), 2.98µg/g (95% CI: 2.35-3.61), 0.42µg/g (95% CI: 0.19-0.66), and 0.71µg/g (95% CI: 0.76-1.04), respectively. The levels of Cd and Pb in rock salt are higher than those found in the sea and refined salt. The hazard index (HI) values were recorded as 0.41 (95% CI: 0.235 to 0.588) for men, 0.428 (95% CI: 0.246 to 0.614) for women, and 0.594 (95% CI: 0.341 to 0.853) for children. The results of the present study show higher levels of Pb and Cd in unrefined salt compared to refined salt. Additionally, the health risk associated with exposure to Cd, Pb, As, and Hg through salt consumption is negligible in Iranian adults.

Experimental study and model prediction of the influence of different factors on the mechanical properties of saline clay

Water conveyance channels in cold and arid regions pass through several saline-alkali soil areas. Canal water leakage exacerbates the salt expansion traits of such soil, damaging canal slope lining structures. To investigate the mechanical properties of saline clay, this study conducted indoor tests, including direct shear, compression, and permeation tests, and scanning electron microscopy (SEM) analysis of soil samples from typical sites. This study aims to elucidate the impact of various factors on the mechanical properties of saline clay from a macro–micro perspective and reveal its physical mechanisms. A prediction model is formulated and validated. The findings indicate the following: (1) Cohesion in direct shear tests has a linear negative correlation with water content and a positive correlation with dry density and initially decreases with increasing salt content until 2%, after which it increases. The internal friction angle initially increases and then decreases with increasing water content, reaching a peak at the optimal water content, and then gradually increases with dry density while initially decreasing, followed by an increase in salt content, stabilizing thereafter. Water content, dry density, or salt content chiefly affect cohesion by influencing electrostatic attraction, van der Waals forces, particle cementation, and valence bonds at particle contact points. (2) Compression tests reveal a linear positive correlation between the compression coefficient and water content, a negative correlation with dry density, and a stepwise linear correlation with salt content, peaking at 2%. The compression index decreases with increasing water content and dry density, following a trend similar to that of the compression coefficient with increasing salt content. The rebound index shows a linear negative correlation with water content and dry density, transitioning from a negative to a positive correlation at 2% salt content. Scanning electron microscopy analysis revealed particle flattening and increased aggregation with increasing consolidation pressure, reducing compressibility. Large pores and three-dimensional porosity have the greatest influence on soil compressibility. (3) Permeability tests reveal an exponential negative correlation between the permeability coefficient and dry density. As the dry density increases, the particle arrangement becomes denser, decreasing the pore quantity, with micropores disproportionately impacting the permeability coefficient. An increase in salinity initially increases the permeability coefficient before it decreases. The boundary point of the 2% salt content divides the effect of salt ions from promoting free water flow to blocking seepage channels, with the proportion of micropores being the primary influencing factor. (4) Employing statistical theory and machine learning algorithms, dry density, water content, and salinity are used to predict mechanical index values. The improved particle swarm optimization-support vector regression (PSO-SVR) model has high accuracy and general applicability. These findings offer insights for the construction and upkeep of open channel projects in arid regions.

Treatment effect of head extension by cervical collar on moderate obstructive sleep apnea-A randomized controlled trial.

As available treatments in obstructive sleep apnea are all associated with side-effects or adherence problems, there is a need for alternative treatment options. In this randomized, open, parallel-group intervention study, the effect of head extension by cervical collar was evaluated in patients with moderate obstructive sleep apnea. One-hundred patients with moderate obstructive sleep apnea (apneas and hypopneas per estimated hours asleep = respiratory events index: 15-30) were randomized to either lifestyle intervention, or cervical collar in combination with lifestyle intervention. Both groups received lifestyle advice. In addition, the treatment group was treated with a cervical collar, which allows adjustment of head extension, during sleep. Assessment with questionnaires and polygraphy were performed at baseline and after 6 ± 2 weeks. A linear regression model was used to assess a total effect on respiratory events index, which was the primary endpoint. In the intention-to-treat analysis, the cervical collar in combination with lifestyle intervention group decreased their respiratory events index (p = 0.008) and oxygen desaturation index (p = 0.008) more than the lifestyle intervention group, with a mean difference of -4.5 and -4.3, respectively. In the sub-analysis, there was a clear effect on respiratory events index in the supine position (mean difference between the groups -9.1, p = 0.018) but not on non-supine apnea-hypopnea index (-2.3, p = 0.17). We conclude that head extension by cervical collar during sleep resulted in improved respiratory events index and oxygen desaturation index values in patients with moderate obstructive sleep apnea. Cervical collar can be a second-line treatment option in this group, especially in positional obstructive sleep apnea.

On the Distribution of the Random Sum and Linear Combination of Independent Exponentiated Exponential Random Variables

The exponentiated exponential distribution has received great attention from many statisticians due to its popularity, many applications, and the fact that it is an efficient alternative to many famous distributions such as Weibull and gamma distributions. Many statisticians have studied the mathematical properties of this distribution and estimated its parameters under different censoring schemes. However, it seems that the distribution of the random sum, the distribution of the linear combination, and the value of the reliability index, R=P(X2&lt;X1), in the case of unequal scale parameters, were not known for this distribution. Therefore, in this article, we present the saddlepoint approximation to the distribution of the random sum, the distribution of linear combination, and the value of the reliability index R=P(X2&lt;X1) for exponentiated exponential variates. These saddlepoint approximations are computationally appealing, and numerical studies confirm their accuracy. In addition to the accuracy provided by the saddlepoint approximation method, it saves time compared to the simulation method, which requires a lot of time. Therefore, the saddlepoint approximation method provides an outstanding balance between precision and computational efficiency.