Primary Variable Research Articles

Herbal Companion Crops as an Example of Implementation of Sustainable Plant Protection Practices in Soybean Cultivation

This study aimed to assess the effect of using selected herbs as companion crops in soybean cultivation on the yield and overall health of soybeans. A three-year field experiment (2021–2023) was conducted using a randomized block design with three replications, where the primary experimental variable was the sowing method. The innovative cropping system involved cultivating soybeans alongside different companion herbs, such as alyssum (Lobularia maritima L.), fennel (Foeniculum vulgare Mill.), borage (Borago officinalis L.), French marigold (Tagetes patula L.), calendula (Calendula officinalis L.), and a herbal mixture referred to as ‘MIX’. The study showed that cultivation of soybean with fennel improved the quantitative and qualitative characteristics of the yield, with a significant increase in seed yield (on average by 0.27 t ha−1) as well as protein (7.67%) and oil yield (8.57%) compared to the pure soybean crop. The following fungal diseases were identified during the three-year study period (2021–2023): Cercospora leaf blight, Ascochyta blight, Fusarium wilt, and downy mildew. Cultivation of soybean with herbs as companion crops was implemented to improve the health of soybean to a varied extent. Borage, marigold, and calendula companion crops reduced infection of soybean by the fungi C. kikuchii and F. oxysporum. Cultivation with fennel and marigold was also beneficial for soybean health. On the other hand, cultivation with sweet alyssum and a mixture of herbs increased the occurrence of the fungus A. sojaecola. Cultivation of soybean in association with herbs is legitimate and requires further research given the priorities facing 21st-century agriculture.

Patients experience with preoperative use of anti-obesity medications and associations with bariatric surgery expectations

BackgroundFew studies have investigated the use of anti-obesity medications (AOMs) before bariatric surgery and how prior use impacts patients’ goals and expectations for surgery. ObjectivesThis study investigated associations between patients’ experiences with AOMs and weight loss expectations before bariatric surgery. SettingsSingle tertiary university hospital. MethodsPatients were electronically surveyed with a 31-item questionnaire via email or the patient portal with a primary predictor variable of AOMs presurgery. Outcomes included degree of weight loss and weight regain and motivation for seeking surgery. ResultsA total of 346 persons were invited to complete the survey; 112 surveys (32.4%) were completed, with 7 excluded because of not answering the AOM question. 73% reported AOM use. Among those who took AOMs before seeking bariatric surgery, average weight loss was 13 kg (SD 10) corresponding to a 4.4-kg/m2 decrease in BMI. Of past AOM recipients, 87% reported weight regain on stopping AOMs. Average weight regain was 18 kg (SD 13; 126% increase). Patients reported improved longevity and quality of life as motivation for seeking surgery, with AOM use history having no effect. Subjects reported an average weight loss goal of 65.8 kg (39% of baseline weight) from bariatric surgery. ConclusionsAOMs were commonly used in those seeking bariatric surgery, but motivation for surgery did not differ by AOM use history. Motivations were most often related to goals for better overall health.

Climate, Hydrology, and Nutrients Control the Seasonality of Si Concentrations in Rivers

AbstractThe seasonal behavior of fluvial dissolved silica (DSi) concentrations, termed DSi regime, mediates the timing of DSi delivery to downstream waters and thus governs river biogeochemical function and aquatic community condition. Previous work identified five distinct DSi regimes across rivers spanning the Northern Hemisphere, with many rivers exhibiting multiple DSi regimes over time. Several potential drivers of DSi regime behavior have been identified at small scales, including climate, land cover, and lithology, and yet the large‐scale spatiotemporal controls on DSi regimes have not been identified. We evaluate the role of environmental variables on the behavior of DSi regimes in nearly 200 rivers across the Northern Hemisphere using random forest models. Our models aim to elucidate the controls that give rise to (a) average DSi regime behavior, (b) interannual variability in DSi regime behavior (i.e., Annual DSi regime), and (c) controls on DSi regime shape (i.e., minimum and maximum DSi concentrations). Average DSi regime behavior across the period of record was classified accurately 59% of the time, whereas Annual DSi regime behavior was classified accurately 80% of the time. Climate and primary productivity variables were important in predicting Average DSi regime behavior, whereas climate and hydrologic variables were important in predicting Annual DSi regime behavior. Median nitrogen and phosphorus concentrations were important drivers of minimum and maximum DSi concentrations, indicating that these macronutrients may be important for seasonal DSi drawdown and rebound. Our findings demonstrate that fluctuations in climate, hydrology, and nutrient availability of rivers shape the temporal availability of fluvial DSi.

Association Analysis Between Albumin Level and Maxillofacial Space Infection Severity

Early detection and treatment of maxillofacial space infection (MSI) can lead to successful outcomes; however, delayed intervention may result in severe systemic manifestations, posing a potential threat to life. The purpose of this study was to measure the association between albumin (ALB) levels and MSI severity. This was a retrospective cohort study including patients who were diagnosed with MSI at the Second Hospital of Lanzhou University from 2013 to 2023. Patients with unknown etiology, incomplete data, and those with psychiatric disorders and malignant tumors were excluded. Cured subjects are defined as the absence of clinical symptoms. The primary predictor variable was the ALB levels measured at the time of admission. We categorized ALB levels at admission into <30g/L, 30-35g/L, and >35g/L. The outcome variables were MSI severity measured by the length of stay (LOS) and death. LOS >14days was a prolonged length of hospital stay. Covariates included age, sex, involved anatomical spaces, neutrophil proportion and white blood cell counts. Statistical analysis was conducted using Pearson's χ2 test, one-way analysis of variance, independent sample t-test, multivariate logistic regression, Fisher's exact test, Kruskal-Wallis H test, Mann-Whitney U test, and the Gamma test. The P value was set at .05. This study encompassed 201 patients, of whom 123 were male (61.19%) and 78 were female (38.81%). Among these, 190 subjects (94.53%) were cured. The mean LOS was 16.38±18.93days, and 81 subjects (42.63%) had a LOS exceeding 14days. There were 11 deceased patients (5.47%). The neutrophil proportion (χ2=8.31; P<.01), and white blood cell count (χ2=11.14; P<.01) were significantly higher in deceased patients compared to those who were cured, and among the deceased patients, there was a greater percentage of patients with odontogenic infections (χ2=7.48; P=.02). There was no difference in ALB levels among the deceased patients (χ2=3.08 P=.21). A reduction in ALB levels is associated with an increased risk of prolonged LOS (χ2=21.77; P<.001). The relative risk (RR) of LOS extension when the ALB level is between 30 and 35g/L is 1.32 times higher than when the ALB level exceeds 35g/L (RR=1.32, 95% confidence interval (CI)=0.99 to 1.76). Furthermore, when ALB levels fall below 30g/L, the RR increases to 2.19 times higher compared to ALB levels greater than 35g/L (RR=2.19, 95% CI=1.47 to 3.26). Moreover, the LOS was used to measure the severity of MSI. Multivariate regression analysis found ALB levels were negatively associated with LOS. Subjects with ALB levels less than 30g/L had a 2.98 times higher risk (95% CI=1.12 to 7.75; P=.03) than subjects with ALB levels more than 35g/L. The risk factors of MSI including the ALB levels less than 35g/L (odds ratio (OR) (>35:30 to 35:<30)=1.00:1.85:2.98), multiple space infections (OR (1:2-3:4-5:>5)=1.00:0.52:1.92:5.49), and descending necrotizing mediastinitis (OR=4.30). ALB levels less than 35g/L, multiple space infections, descending necrotizing mediastinitis occurrence, and increased LOS are risk factors for increased severity of MSI and may lead to prolonged LOS.

An experimental study on material removal rate and surface roughness of Cu-Al-Mn ternary shape memory alloys using CNC end milling

Abstract This study investigates the impact of Computer Numerical Control (CNC) milling parameters on Cu-Al-Mn SMAs (Shape memory alloys) to evaluate the effects on Surface Roughness (SR) and Material Removal Rate (MRR). The primary variables examined comprise of cutting speed, feed rate, and depth of cut. Results indicate that the Shape Memory Effect (SME) is higher in Copper Aluminium Manganese (CAM 3) compared to CAM 1 and CAM 2, with SME improving from 3.5% to 5.5% as Manganese (Mn) content increases, reflecting an increase in dislocations within the metal's crystal structure. Surface roughness increases with higher feed rates and depths of cut but decreases with increased cutting speed. MRR shows a positive correlation with feed rate, depth of cut, and cutting speed, though it decreases with higher Mn content. Notably, CAM 3 exhibits lower MRR compared to CAM 1 and CAM 2. Scanning Electron Microscopy (SEM) reveals that at lower feed rates (0.10 mm/rev), the surface is smooth and free of ridges or feed marks, while at higher feed rates (0.18 mm/rev), noticeable surface imperfections and plastic deformation occur. The addition of Mn improves surface smoothness and machinability, it also affects MRR. Further suggesting that Mn content and milling parameters significantly influence both the mechanical properties and machinability of Cu-Al-Mn SMAs respectively.

Impact of perioperative fluid overload on the occurrence of postoperative pulmonary complications following lobectomy.

The incidence of pulmonary complications following lobectomy remains substantial, with postoperative fluid volume playing a pivotal role. However, the optimal management of fluids after lobectomy remains uncertain. This study aimed to establish a benchmark for perioperative fluid overload in patients undergoing pulmonary surgery by comparing the incidence of pulmonary complications following standard surgical procedures among patients with varying fluid volumes. A retrospective analysis was conducted on adult patients with non-small cell lung cancer (NSCLC) who underwent lobectomy between January 2018 and January 2019. The primary exposure variable was fluid overload within the initial 24-hour period. The observation outcomes were postoperative pulmonary complications, acute kidney injury (AKI), and postoperative length of stay. Univariate and multivariate analyses were performed. Among the 300 patients included in this study, the low-volume group exhibited a significantly shorter postoperative hospital stay compared to the high-volume group (P=0.02). Furthermore, the low-volume group demonstrated a significantly lower incidence of postoperative atelectasis (P=0.03) and pulmonary infection (P=0.02) compared to the high-volume group. Moreover, logistic regression analysis revealed that the high-volume group had higher odds ratios (ORs) for developing atelectasis [OR: 2.611, 95% confidence interval (CI): 1.050-6.496, P=0.04] and pulmonary infection (OR: 2.642, 95% CI: 1.053-6.630, P=0.04) following lobectomy when compared to the low-volume group. In patients with NSCLC undergoing lobectomy, reducing intravenous infusion after surgery while maintaining hemodynamic stability can effectively shorten hospitalization duration and mitigate the risk of postoperative atelectasis and pulmonary infection.

Assessment of Ductility Demand-Based Blast Damage to Reinforced Concrete Columns under Blast Loads

This study was conducted to evaluate the influence of various structural variables on the blast damage to reinforced concrete columns. The selected primary variables were the longitudinal reinforcement ratio, transverse reinforcement ratio, and axial load ratio, with the analysis based on the ductility demand to assess the blast damage. A parametric study based on finite element analysis was performed to analyze the effects of these variables. The results revealed that an increase in the longitudinal and shear reinforcement ratios significantly decreased the level of damage sustained by the columns under blast exposure, whereas an increase in the axial load ratio resulted in a comparatively lower reduction in damage. Columns with higher transverse reinforcement ratios experienced more severe damage owing to compression-induced brittle failure as the axial load ratio increased. This study provides guidelines for the appropriate selection of design variables to mitigate blast damage in columns.

Contributions of computing in geosciences: a case study of geometallurgical forecasting

Geometallurgical modeling has been improved over the years with the incorporation of mineralogical, chemical, and metallurgical information. However, the diversity of the database brings challenges since the information is not unified in procedures, sample support, or quantities. Characteristics such as nonlinearity and nonadditivity of the geometallurgical database impose even more difficulties. The objective of this article is to demonstrate the feasibility of geometallurgical models from multivariate techniques combined with computational tools. The algorithms used in this study were developed in Python programming language. The multivariate analysis and machine learning techniques allowed the grouping of transitional typological domains and the quantification of uncertainty; the selection and reduction of the dimensionality of the heterotopic database; and the prediction of metallurgical behavior from exhaustive primary variables using a transfer function. The results were verified and proved to be satisfactory. Other benefits of the computational structure were: reduction of subjectivity; automation; and dynamic updates of models using new data.

Impact of nursing policy on securing intensive care unit nurse staffing and in-hospital mortality

ObjectiveThis study aimed to evaluate changes in intensive care unit nurse staffing after the introduction of the government’s nursing policy, and the relationship between ICU nurse staffing levels and in-hospital mortality. DesignA retrospective cohort study. SettingThis study used data from the Health Insurance Review and Assessment Service and included all patients admitted to adult ICUs at general and tertiary hospitals in Korea from 2016 to 2020. MethodsThe primary variables of interest in this study were the level and overall trend change in the outcome variables after introducing the nursing policy; the nurse-to-bed ratio in the ICUs was evaluated. The secondary variable of interest was the relationship between nurse staffing levels and in-hospital mortality. Interrupted time-series analysis and generalized estimating equation models were used to evaluate the primary and secondary variables of interest. ResultsAfter the nursing policy was introduced, the nursing grades in the ICUs increased, especially in tertiary hospitals. The change at the time of the introduction of each policy was not statistically significant; however, after the introduction, the number of hospital beds per nurse decreased. In-hospital deaths of patients in ICUs increased as the number of beds per nurse increased (odds ratio [OR]: 1.17, 95 % confidence interval [CI]: 1.12–1.21) and decreased as the number of experienced nurses increased (OR: 0.97, 95 % CI: 0.96–0.98). ConclusionsThe introduction of a nursing policy centered on financial support for medical institutions led to an increase in nurse hiring, leading to improved nursing grades. However, the results of introducing these policies differed by medical institution and region, and disparities between medical institutions appear to have widened further. Implications for Clinical PracticeExperienced nurses are important for better outcomes for patients admitted to ICUs, and continuous policy efforts are needed to secure and maintain sufficient nurses.

The Burden of Chronic Diseases with the Status of Family Medical History Among Older Adults in India.

This study aims to assess and compare the prevalence of chronic diseases by the first-degree Family Medical History (FMH) and also explores the relationship between FMH and selected Non-communicable diseases (NCDs) among older adults in India. The present study collated secondary data from the Longitudinal Ageing Study in India (LASI, 2017-18). The eligible respondents for the analysis of this study were aged 45years and above, where the final study sample consistedof 65,562 older adults across all Indian states and union territories. The LASI dataset collected responses onself-reported diseases: Hypertension, Stroke, Heart disease, Cancer, and Diabetes. These diseases have a high prevalence among the population and are considered in the present study. Along with disease status, respondents' first-degree relatives FMH were used to fulfil the objective. Descriptive statistical analysis and multiple logistic regression techniques were used to accomplish the objectives analysis. This approach was chosen due to the binary nature of our primary dependent variables. The study found that the prevalence of selected NCDs was considerably higher among older adults with FMH than those without FMH. It revealed that NCDs and the status of FMH of parents and siblings were significantly associated. Based on the multivariate-adjusted model, we foundsignificantly higher odds for developing the NCDs when the respondents have FMH among at least one of the first-degree relative. The likelihood among those with FMHof having hypertension (AOR: 2.058), diabetes (AOR: 2.94), heart diseases (AOR: 2.39), stroke (AOR: 1.62) and cancer (AOR: 2.32) was higher compared to no FMH of respective diseases. Similarly, significant associations were observed according to the different stratification of the number offirst-degree relatives FMH. The present study demonstrated that first-degree relatives FMH is indeed a dominant associated risk factor for chronic disease among the older adults of India. This study supports the promotion of a disease history tool for chronic disease prevention and early detection approaches as a valuable measure of NCD risk. Public health practitioners can take several steps to access FMH and incorporate FMH into public health programs for the screening of the risk population.

Modeling fluid flow in heterogeneous porous media with physics-informed neural networks: Weighting strategies for the mixed pressure head-velocity formulation

Physics-informed neural networks (PINNs) are receiving increased attention in modeling flow in porous media because they can surpass purely data-driven approaches. However, in heterogeneous domains, PINNs often face convergence challenges due to discontinuities in rock properties. A promising alternative is the mixed formulation of PINNs, which utilizes pressure head and velocity fields as primary variables. This formulation introduces a multi-term loss function whose terms must be carefully balanced to ensure effective convergence during training. The main goal of this work is to identify the most suitable weighting technique to overcome convergence issues and enhance the applicability of the mixed formulation of PINNs for modeling flow in heterogeneous porous media. Thus, we implement and adapt different global and local weighting techniques and evaluate their performance through multiple test scenarios, involving stochastic and block heterogeneity. The results reveal that the most appropriate weighting strategy is the max-average technique. In the case of stochastic heterogeneity, this technique allows for improving the convergence of the training algorithm. In the case of discontinuous heterogeneity, the max-average method is the only strategy that achieved convergence, highlighting its robustness. The results also show that under high heterogeneity, using an appropriate weighting technique becomes imperative because baseline PINN failed to converge. Implementing an optimal weighting strategy can improve convergence and yield accurate solutions with fewer learnable parameters, thereby enhancing overall model performance.

Revision Surgery after Single Level Anterior Cervical Discectomy and Fusion With Plate vs Stand-Alone Cage over 2 to 5 Year Follow-Up.

retrospective study. To investigate the incidence of all-cause revision surgery between plated vs stand-alone cage constructs for single level ACDF. We retrospectively analyzed a commercial insurance claims database. Patients 18-65years-old were included if they underwent single-level inpatient ACDF (defined with CPT codes) from 2010 - 2018, with a minimum of 2-year continuous insurance enrollment. The primary independent variable was the use of anterior plating vs zero profile device or stand-alone cage. Synthetic (ie, metal, PEEK, etc.) vs allograft interbody was a secondary independent variable. The primary outcome variable was revision cervical arthrodesis after the index operation. In total, 21092 patients undergoing single-level inpatient ACDF were included. 10.0% received a stand-alone cage during the index operation. Mean follow-up duration was 4.5years. Revision arthrodesis occurred in 8.2% of patients overall, at a mean of 2.4years after the index surgery. Patients with anterior plating had a lower rate of all-cause revision surgery in unadjusted (overall rate 8.1% vs 9.6%, P = 0.0185) and adjusted analysis (OR 0.78, P = 0.0016) vs stand-alone cages. Patients with stand-alone cages had higher rates of revision with a posterior approach than did patients with plated constructs. In sub-analysis, the combination of a stand-alone interbody device with an allograft had significantly higher odds of revision than other combinations of devices. Among commercially insured patients ≤65years-old undergoing single-level ACDF, anterior plating was associated with a reduced incidence of revision surgery compared to stand-alone cages within the follow up period of our study.

Open Versus Endoscopic Approach for Thoracic Disk Herniations: Equivalent Short-Term Outcomes With Significantly Different Costs.

Open thoracic diskectomy often requires significant bone resection and fusion, whereas an endoscopic thoracic diskectomy offers a less invasive alternative. Therefore, we sought to compare one-level open vs endoscopic thoracic diskectomy regarding (1) perioperative outcomes, (2) neurological recovery, and (3) total cost. A single-center, retrospective, cohort study using prospectively collected data of patients undergoing one-level thoracic diskectomy was undertaken from 2018 to 2023. The primary exposure variable was open vs endoscopic. The primary outcome was perioperative outcomes and neurological recovery. Secondary outcomes were total cost of care. Multivariable regression analysis controlled for age, body mass index, sex, symptom onset, disk characteristics, operative time, and length of stay. Of 29 patients undergoing thoracic diskectomy, 17 were open and 12 were endoscopic. Preoperative demographics, symptoms, and radiographic findings were comparable between the cohorts. Perioperatively, open surgery had significantly higher mean length of stay (4.9 ± 1.5 vs 0.0 ± 0.0 days, P < .001), median (IQR) longer operative time (342.8 [68.4] vs 141.5 [36] minutes, P < .001), and more blood loss (350 [390] vs 6.5 [20] mL; P < .001). 16 (94%) open patients required fusion vs 0 endoscopic (P < .001). Postoperative opioid use (P = .119), readmission (P = .665), reoperation (P = .553), and rate of neurological improvement (P > .999) were similar between the 2 groups. Financially, open surgical median costs were 7x higher than endoscopic ($59 792 [$16 118] vs $8128 [$1848]; P < .001), driven by length of stay (β = $2261/night, P < .001), open surgery (β = $24 106, P < .001), and number of pedicle screws (β = $1829/screw, P = .002) on multivariable analysis. On sensitivity analysis, open surgery was never cost-efficient against endoscopic surgery and excess endoscopic revision rates of 86% above open revision rates were required for break-even costs between the surgical approaches. Endoscopic thoracic diskectomy was associated with decreased length of stay, operative time, blood loss, and total cost compared with the open approach, with similar neurological outcomes. These findings may help patients and surgeons seek endoscopic approach as a less morbid and less costly alternative.

Progression of Gummy Stem Blight Epidemics on Watermelon with and without Fungicide Inputs.

Gummy stem blight (GSB), caused primarily by the fungus Stagonosporopsis citrulli in the southeastern United States, affects cucurbits and is particularly destructive on watermelon. Previous epidemiological models of GSB constructed for greenhouse cucumber showed leaf wetness and temperature were the primary and secondary environmental factors, respectively, that explained epidemic progress. The objective of this study was to construct a model that predicted GSB severity on field-grown watermelon based on environmental factors. Disease and weather data from six fungicide experiments in Charleston, South Carolina, in spring and fall 1997 and fall 2017, 2018, 2019, and 2022 were used as inputs. Fungicide treatments were grouped into nonsprayed, protectant (chlorothalonil and mancozeb) and GSB-specific (cyprodinil, difenoconazole and fludioxonil) applications. Cumulative hours of leaf wetness was the primary explanatory variable that modeled the increase in proportion GSB severity ≥2% across all epidemics. Incorporation of temperature or other environmental variables did not improve the model. Fit of the overall model was evaluated with k-fold cross validation, where individual experiments were each excluded from the model fitting process. Slopes of predicted disease progress curves were lowered significantly compared to the nonsprayed treatments by applications of protectant fungicides. Applying GSB-specific fungicides alternated with chlorothalonil further reduced slope values. The model successfully predicted progress of GSB epidemics under different weather patterns and fungicide applications.

Quantifying Radiographs in Endodontics: A Survey

Purpose: The aim of this study was to investigate the average quantity of radiographs obtained during non-surgical endodontic treatment and trends in endodontic radiography among U.S. members of the AAE. Materials &amp; Methods: A survey was sent via e-mail to 4,269 active U.S. members of the AAE. Data were collected over a period of approximately 4 months. The number of radiographs reported for non-surgical endodontic treatment was compared across fourteen variables using Kruskal Wallace tests. Chi Square tests of Independence were also used to evaluate trends in endodontic radiography based on three primary categorical variables of interest: years of experience, professional role (PR) and use of CBCT technology. Results: 412 responses were collected (response rate ~10%). 98.3% of respondents were endodontists while the remaining 1.7% were endodontics residents. 96.1% of respondents reported the use digital radiography, 98.1% use CBCT, 87.1% of respondents reported always using an Electronic Apex Locator (EAL), and only 29.4% of respondents reported using any type of handheld x-ray system. 54.4% reported always taking intra-operative (IO) radiographs. Most respondents selected 6-7 and 8-12 radiographs to be excessive. Kruskal Wallace tests confirmed statistically significant differences between the quantity of radiographs acquired and the categorical variables (i.e., PR, years of experience, the quantity of radiographs respondents reported to be excessive, and the type of radiography used while in residency (conventional vs. digital). The average number of radiographs acquired during non-surgical endodontic treatment was 3 (anterior), 4 (premolar) and 4 (molar). Chi Squared Tests of Independence revealed significant trends in endodontic radiography based on respondents’ PR, years of experience, and use of CBCT technology. Conclusion: There were statistically significant differences in the average quantity of radiographs obtained during non-surgical endodontic treatment amongst respondents of varying PR and years of experience. The use of adjunct technology, type of radiography, and preferred positioning device did not significantly impact the number of radiographs completed. The average number of radiographs acquired during non-surgical endodontic treatment was higher for premolars and molars than anterior teeth.

Advancing polar motion prediction with derivative information

Abstract Earth Orientation Parameters (EOP) are essential for monitoring Earth’s rotational irregularities, impacting satellite navigation, space exploration, and climate forecasting. This study introduces a hybrid prediction model combining least-squares (LS) and vector autoregression (VAR) to improve Earth’s Pole Coordinates (x, y) forecast accuracy. Using daily sampled IERS EOP 20 C04 data from 2013 to 2023, we conducted 1,000 yearly random trials, performing 48 forecasts per year. Our method evaluates six data combinations, including primary variables (x, y) and their derivatives ( x ̇ , y ̇ $\dot{x},\dot{y}$ ). Results show a systematic improvement in prediction accuracy, especially for ultra-short-term forecasts (10 days into future), with derivative information stabilizing the solutions. The best-performing combination ( x , y , x ̇ , y ̇ $x,y,\dot{x},\dot{y}$ ) achieved a mean absolute prediction error (MAPE) reduction (with respect to the reference data combination – x, y) of up to 8 % for the y and 7 % for the x over a whole 30-day forecast horizon. These findings highlight the effectiveness of incorporating derivatives of polar motion time series into prediction procedure.

Head–neck cooling effects on central and peripheral fatigue, motor accuracy, and blood markers of stress in men with multiple sclerosis and healthy men: A randomized crossover study

BackgroundThe present study aimed to investigate whether head and neck cooling (at 18 °C next to the skin) and fatiguing submaximal exercise at a thermoneutral ambient temperature can induce peripheral and central responses in healthy men and those with multiple sclerosis (MS). MethodsA local head–neck cooling (at 18 °C next to the skin) intervention in men with a relapsing-remitting form of MS (n = 18; age 30.9 ± 8.1 years) and healthy men (n = 22; age 26.7 ± 5.9 years) was assessed. Men in both groups performed 100 intermittent isometric knee extensions with 5 s contractions and 20 s of rest. The primary variables were measured before exercise, after 50 and 100 repetitions, and 1 h after recovery. The central activation ratio, maximal voluntary contraction, electrically induced force, electromyography, contractile properties, blood markers, muscle temperature, and perception of effort were measured. ResultsCompared with noncooled conditions, head and neck cooling increased the central capacity to activate exercising muscles but resulted in greater exercise-induced peripheral fatigue in men with MS (p < 0.05). Local cooling did not affect motor accuracy or the amplitude of electromyography signals; however, these factors were related to the intensity of the motor task (p > 0.05). The changes in central and peripheral fatigability induced by local cooling during submaximal exercise were more pronounced in men with MS than in healthy men (p < 0.05). ConclusionHead and neck cooling enhances central activation of muscles during exercise, leading to improved exercise performance compared with noncooled conditions in men with MS.

Bayesian Optimization of Low-Temperature Nonthermal Plasma Jet Sintering of Nanoinks.

In response to the escalating demand for flexible devices in applications such as wearables, sensors, and touch panels, there is a need for innovative fabrication approaches for devices made from nanomaterial-based inks. Subsequent to ink deposition, a pivotal stage in device manufacturing typically involves high-temperature sintering, posing challenges for heat-sensitive substrates. Nonthermal plasma jet sintering utilizing an atmospheric pressure dielectric barrier discharge (DBD) plasma jet enables sintering at room temperature and standard pressure, facilitating the sintering of printed nanoparticle films without compromising substrate or film surface integrity. However, determining optimal plasma jet sintering conditions can be challenging due to multiple processing variables with intricate interrelationships. This work employed Bayesian optimization (BO) and machine learning (ML) to identify optimal values for seven primary plasma jet sintering variables. Optimization yielded a 99.2% increase in the measured electrical conductivity for plasma jet-sintered indium tin oxide (ITO) films after five rounds of experiments. Moreover, the optimal sintering conditions achieved an electrical conductivity that was 81.4% of conventional furnace sintering at 300 °C, but was three times faster and with a peak substrate temperature below 47 °C. This result demonstrates the prospect of applying BO to optimize processing techniques for emerging low-temperature requirements.

Effect of process parameters on the mechanical properties of wires produced from A356 aluminum alloy chips by Continuous Friction Stir Extrusion: Experiments and numerical simulation

Recycling of metals is becoming crucial from an economic and environmental point of view. The solid-state recycling process Continuous Friction Stir Extrusion was used to produce wires out of A356-T6 chips. The mechanical properties of the produced wires were explored by varying the main process parameters. Characterization involved Vickers hardness tests, tensile tests, grain size measurements, and fracture surface analysis. It has been found that it is possible to achieve 77 % of the Ultimate Tensile Strength (UTS) and 92 % of Vickers hardness with respect to the as-fabricated A356 alloy. The average grain size increases with the tool rotational with values ranging from about 9 µm to about 11 µm. A 3D dedicated numerical model was used to predict the distributions and histories of primary field variables, and to calculate the Piwnik-Plata parameter, fostering a more in-depth understanding of the process mechanics. This allows for the precise prediction of unacceptable product quality of the bonding when the Plata and Piwnik parameters are low. Predicted temperature close to the rotating tool should reach 400 °C while the cochlea temperature should be below 100 °C for sound wires production thus avoiding early chip bonding and process failure.

Estimating taxonomic and functional structure along a tropical estuary: linking metabolic traits and aspects of ecosystem functioning.

Microbial life forms are among the most ubiquitous on Earth, yet many remain understudied in Caribbean estuaries. We report on the prokaryote community composition of the Urabá Estuary in the Colombian Caribbean using 16S rRNA gene-transcript sequencing. We also assessed potential functional diversity through 38 metabolic traits inferred from 16S rRNA gene data. Water samples were collected from six sampling stations at two depths with contrasting light-penetration conditions along an approximately 100 km transect in the Gulf of Urabá in December 2019. Non-metric multidimensional scaling analysis grouped the samples into two distinct clusters along the transect and between depths. The primary variables influencing the prokaryote community composition were the sampling station, depth, salinity, and dissolved oxygen levels. Twenty percent of genera (i.e., 58 out 285) account for 95% of the differences between groups along the transect and among depths. All of the 38 metabolic traits studied showed some significant relationship with the tested environmental variables, especially salinity and except with temperature. Another non-metric multidimensional scaling analysis, based on community-weighted mean of traits, also grouped the samples in two clusters along the transect and over depth. Biodiversity facets, such as richness, evenness, and redundancy, indicated that environmental variations-stemming from river discharges-introduce an imbalance in functional diversity between surface prokaryote communities closer to the estuary's head and bottom communities closer to the ocean. Our research broadens the use of 16S rRNA gene transcripts beyond mere taxonomic assignments, furthering the field of trait-based prokaryote community ecology in transitional aquatic ecosystems.IMPORTANCEThe resilience of a dynamic ecosystem is directly tied to the ability of its microbes to navigate environmental gradients. This study delves into the changes in prokaryote community composition and functional diversity within the Urabá Estuary (Colombian Caribbean) for the first time. We integrate data from 16S rRNA gene transcripts (taxonomic and functional) with environmental variability to gain an understanding of this under-researched ecosystem using a multi-faceted macroecological framework. We found that significant shifts in prokaryote composition and in primary changes in functional diversity were influenced by physical-chemical fluctuations across the estuary's environmental gradient. Furthermore, we identified a potential disparity in functional diversity. Near-surface communities closer to the estuary's head exhibited differences compared to deeper communities situated farther away. Our research serves as a roadmap for posing new inquiries about the potential functional diversity of prokaryote communities in highly dynamic ecosystems, pushing forward the domain of multi-trait-based prokaryote community ecology.