Optimal Level Research Articles

Nitrogen status of durum wheat derived from Sentinel-2 satellite data in Central Italy

In agriculture, nitrogen (N) is a key element in plant nutrition that affects, both positively and negatively, the productive and qualitative results of the crop. Accurate quantification of nitrogen levels is crucial for devising effective plant nutrition strategies. The objective of this study was to validate a novel method to estimate the N content at different phenological stages of durum wheat (Triticum durum Desf. cv. Iride) under different N management strategies (chemical synthetic fertilizer - SYN and organic fertilizer - ORG) in Italy, using the Nitrogen Nutrition Index (NNI)as a diagnostic tool for improving nitrogen fertilization timing and doses. The NNI is the ratio between the actual crop nitrogen content (Na) and the optimal level (Nc) required for ideal growth conditions.On ground level, Leaf Area Index (LAI) , Canopy reflectance, leaf chlorophyll content (LCC) and N concentration in leaves were measured. At landscape level, LAI and Canopy Chlorophyll Indices (CIs) were derived from Sentinel 2 (S2) multispectral images captured on the same days as the ground measurements: Chlorophyll Indexes were used for estimating the canopy chlorophyll content, CCC. Na in leaves and canopy were calculated from LCC and CCC respectively.In the study area, Nc is Nc=4.65LAI–0.35, R2=0.92. Among the tested Chlorophyll Indices (CIs) regression models, the linear regression was the more accurate to predict Na content, even though most of the tested Chlorophyll Indices (CIs) showed an R2 > 0.8,a. The best-performing spectral index in both calibration and validation steps resulted from the IRECI, with R2=0.90 and RMSE=0.31. The developed NNI well-captured the seasonal N dynamic for durum wheat, under different N management and meteorological conditions. The NNI calculated from S2 data for crop N status assessment, showed to be an accurate estimation of the Nitrogen Nutrition Index and can be used for the fertilization plans without costly on ground measurements.

A Study of the Rainwater Pumping Station Operation Plan to Reduce River Water Level

Urban flood damage is caused by various and complex effects such as inland flood and external water flooding, so research on this is necessary. This study presented a rainwater pumping station operation technique that can suppress the rise in water levels in discharge rivers based on rainfall and pump operation scenarios in order to reduce inland water flooding and simultaneously consider external water levels. The research method used genetic algorithm (GA) optimization techniques to calculate the optimal operating level for each pump, and based on this, an operating scenario was created to minimize pump operation. In addition, after constructing a rainfall scenario based on the probability rainfall in Seoul, an optimal pump operation technique that can reduce the external water level while minimizing the inundation of domestic water was proposed. The results of the study showed that as the rainfall intensity increases, the flooding increases and the peak depth of the runoff increases. In addition, as the pumping scenario changes from 1 to 11, the number of pumping operations decreases, which reduces the drainage volume of the pumps, which increases the flooding.

Revolutionizing inventory management: A comprehensive automated data-driven model using power BI incorporating industry 4.0

This is a study on advanced inventory management approaches in the mechanical industry using data-driven models, accompanied by Power BI analytics. Drawing insights from broad collaboration with relevant industrial expertise at different organizational scales, our research work addresses the intricacies and challenges in maintaining optimal inventory levels concerning growing industries and operational risks. In this global mechanical firm, we analyzed historical data using descriptive and predictive analytics to understand the trends of the past and to forecast future inventory needs. Descriptive analytics provided base insights about the present status of inventory, while predictive analytics helped proactive management of stock levels classified into on-hand and critical level categories for greater efficiency in strategies related to planning at the coordination end with its suppliers and mitigating risks. Core to our methodology will be the implementation of an automated data-driven machine-learning approach that brings minimal intervention from humans to solve some of the most critical problems in inventory management. One major contribution this study adds is a major product: a Power BI dashboard that visualizes critical part numbers falling below threshold values and recognizes suppliers with historical shipment shortages. Armed with this intuitive dashboard, supplier-coordinating engineers are better placed to take proactive action on inventory shortages, greatly improving operational efficiency in supply chain resilience.

Service center in electricity distribution sector with variable peak electricity time: A two-stage queuing model approach with nested simulation

Customer service is essential for any business, significantly impacting customer satisfaction, brand reputation, and reducing associated costs. In the electricity industry, this importance is heightened due to the critical nature of electricity in daily life and growing usage rate of new technologies. Effective customer service in electric distribution companies involves handling a wide range of inquiries, from billing issues to technical support, requiring both remote and on-site assistance. The variability in customer calls, influenced by factors such as peak electricity hours, and different service and customer types, presents unique challenges in designing efficient service centers. This research develops a tailored model for the service center operations of a power distribution company, focusing on optimal staffing levels within budget constraints. A two-stage queuing model is proposed to address the needs of residential and non-residential customers. The study employs nested simulation techniques to account for variability in customer arrival times and peak hours. Key performance indicators (KPIs) are used to evaluate the effectiveness of staffing policies, considering both quantitative and qualitative costs. The study integrates stochastic optimization and ranking and selection methods to identify the best staffing configurations. The findings offer actionable insights for improving customer service efficiency and operational effectiveness in electricity customer service centers.

Ownership structure, adjustment speed toward target leverage and CEO power

PurposeThis study aims to investigate the impact of ownership structure on firm adjustment speed toward the target leverage.Design/methodology/approachThe study employs a partial adjustment model on a sample of 694 publicly listed firms from 2007 to 2021 in Vietnam.FindingsThe study finds that state and foreign ownerships inhibit the speed at which firms approach their optimal level of debt. Interestingly, this negative association is less pronounced in firms managed by powerful CEOs (duality CEOs; highly experienced CEOs; CEOs who they own or their families possess a large number of shares). Further, state and foreign ownership are found to be positively associated with firm performance. This beneficial impact weakens, however, when firms use more debts.Originality/valueThe outcome reveals that having a powerful CEO on board can help businesses in this emerging market counteract the detrimental effects that foreign and state ownership leave on the process of adjusting leverage.

Screening for subclinical atherosclerosis in patients clinically diagnosed with familial hypercholesterolemia and determination of imaging-guided patient management strategy

Abstract Introduction Familial hypercholesterolemia (FH) is a monogenic dyslipidemia characterized by elevated plasma LDL-C levels, leading to early cardiovascular disease. The Dutch Lipid Clinic Network (DLCN) score is the most widely used clinical scoring system in current practice. Subclinical atherosclerosis is defined as the detection of atheromatous plaques in arterial territories, such as coronary, carotid or iliofemoral, before a symptom or event occurs. It is an early indicator of atherosclerotic burden. In this study, we investigated the presence of subclinical atherosclerosis in FH patients with a definite or probable clinical diagnosis according to DLCN score. We also tried to identify independent predictors of subclinical atherosclerosis. Methods This study is a single-center, prospective, and cross-sectional investigation involving a cohort of 215 FH patients. These patients are primary prevention patients and among them, 120 patients received a definite clinical diagnosis, while 95 patients received a probable clinical diagnosis based on the DLCN score. Carotid USG and Femoral USG were performed to screen for subclinical atherosclerosis and CAC score was calculated by non-contrast CT. Apo A-I, Apo B and Lp (a) measurements were analyzed by immunonephelometric method. Results The study population consisted of 136 (63%) women and 79 (37%) men. The mean age was 54 years (43-62) and the stigmata rate was 18%. Initially, 17% of patients were on aspirin, and 32% were receiving statin treatment; however, following subclinical atherosclerosis screening, these proportions significantly increased (aspirin usage to %32 and statin usage to %96) within the population. 148 patients (69%) had subclinical atherosclerosis in at least one site. Upon regional analysis, subclinical atherosclerosis rates were 48% in the coronary arteries, 47.5% in the carotid bifurcation region, and 40.5% in the femoral bifurcation region. Additionally, 25% of patients had atherosclerosis at one site, 27% at two sites, and 17% at all three sites. Age, male gender, pretreatment LDL-C level, Apo A-I/Apo B ratio and DM were identified as independent predictors of the presence of subclinical atherosclerosis in the FH patients. Furthermore age, male gender, pretreatment nonHDL-C level, Lp (a) ≥ 30 mg/dl and presence of femoral plaque were identified as independent predictors of coronary atherosclerosis. Conclusion Subclinical atherosclerosis is prevalent among FH patients, and this study has identified independent predictors associated with presence of subclinical atherosclerosis. However, despite this heightened risk, medication utilization among these patients remains below optimal levels and only a small proportion of the population has achieved their treatment goals. Our study highlights the influence of subclinical atherosclerosis on treatment approaches, as demonstrated by the notable rise in statin and aspirin utilization observed after screening.Clinical and biochemical characteristicsSubclinical Atherosclerosis Rates

Agency conflicts, product market competition and investment efficiency: new evidence from emerging market

PurposeThis study examines the influence of product market competition on investment inefficiency of Indian firms in context of agency problems. Additionally, this study also investigates whether intense competition is a substitute for or complementary to corporate governance in reducing investment inefficiency of firms.Design/methodology/approachUtilizing the residuals extracted from Biddle et al. (2009) investment model, investment inefficiency, overinvestment and underinvestment are measured for 506 non-financial Indian listed firms with 6,998 firm-year observations from 2009 to 2022. Product market competition is measured using various proxies such as the Herfindahl–Hirschman index, top-four firm concentration ratio, total number of firms in industry, industry market size, weighted average of entry costs and research and development (R&D) to sales ratio. Firms' internal governance is measured using a newly corporate governance index developed with 65 new governance stipulations. Several pooled ordinary least squares (OLS) panel regressions were estimated involving investment inefficiency of firms, product market competition, governance index and firm-specific variables. Endogeneity issues were addressed through two-stage least squares. Robustness checks were also conducted using a two-step system generalized method of moments (GMM).FindingsThe main finding of the study indicates that heightened product market competition reduces investment inefficiency, overinvestment and underinvestment among the selected Indian firms suggesting that firms facing intense competition are less prone to invest below or above optimal levels. This is primarily because in highly competitive industries, managers face greater liquidation risks, prompting more efficient capital investment decisions. The results also indicate that robust corporate governance significantly mitigates investment inefficiencies in non-competitive industries compared to competitive ones suggesting heightened competition reduces managerial slack, resulting in diminished benefits from good governance in competitive settings. Overall results indicate a substitution effect between corporate governance and competition in reducing investment inefficiency, with robustness across various empirical specifications, industry classifications and alternative competition and inefficiency measures.Practical implicationsThe evidence from this work emphasizes the pivotal roles of market competitiveness and corporate governance in shaping investment efficiency. Regulators must closely monitor monopolistic behaviors to safeguard stakeholder interests, enhance investment efficiency and foster value creation. Recognizing the positive impact of market competition, firms should prioritize initiatives to promote industrial openness and intensify competition while strengthening market mechanisms. Policymakers should consider implementing competition-centric governance policies, such as deregulation and antitrust laws, to stimulate market competition. These measures can mitigate governance-related costs and promote a competitive marketplace.Originality/valueThis study provides fresh evidence concerning the effects of product market competition on investment efficiency of Indian firms under new governance norms, an unexplored area in India as most of the existing work has primarily examined the association between competition and investment levels. To best of our knowledge, this is one of the earliest studies demonstrating the substitution effects of competitiveness and governance systems on lowering investment inefficiency suggesting a significant influence of corporate governance in non-competitive industries. Finally, this study contributes to the field of methodology by developing a new firm-specific governance index based on 65 governance indicators.

Interleukin 21, plasminogen activator inhibitor 1 and fractalkine improve risk stratification in elderly patients with pulmonary embolism

Abstract Background The importance of clinical parameters for predicting short-term mortality in hemodynamically stable patients with pulmonary embolism (PE) is acknowledged within the Pulmonary Embolism Severity Index (PESI) Score. Little is known about the value of novel biomarkers in this context. Given the pathophysiology of PE, markers related to inflammation and thrombosis, such as interleukin 21 (IL-21), fractalkine and plasminogen activator inhibitor 1 (PAI1) are of particular interest. Purpose To identify new protein biomarkers that improve 90d mortality prediction compared to the PESI score in elderly PE patients. Methods 1003 patients with venous thromboembolism aged ≥65 years were recruited between 2009 and 2011 from 9 hospitals in Switzerland (SWITCO65+ cohort). Among these, 778 patients were excluded due to missing data, deep venous thrombosis only, blood sample taken >1 day after diagnosis, no initial anticoagulation, systolic blood pressure <90 mmHg, withdrawal within 1 day or denying further use of data; 225 patients were prospectively included. Outcome was independently adjudicated up to 1 year after the index event. To identify candidate proteins, untargeted proteomic analyses (OLINK) were conducted in cases with 90d all-cause mortality (n=20) matched 1:2 (age, sex) to controls without events (n=40). 26 candidate proteins were then validated in all 225 PE patients using ELISA and Mesoscale analyses. Using ROC analyses, the most promising proteins to predict death within 90d were identified within this cohort. Optimal biomarker cut-off levels were derived using the Youden Index and survival analyses were computed. To evaluate the predictive value of these biomarkers, hazard ratios (HR) were calculated after adjusting for age, sex, and BMI. AUC-ROC analyses were performed to assess the biomarkers’ value for risk prediction compared to the PESI score. Results Baseline characteristics (Figure 1) did not differ between patients who died within 90d and those who did not, except for median PESI score (108 [95 – 125] vs. 87 [79 – 101], p<0.001). Optimal biomarker cut-off values were: IL-21: 56.17pg/ml, PAI1: 36.82pg/ml, fractalkine: 66’515pg/ml. Increased levels of IL-21 and PAI1 were associated with increased mortality (HR IL-21 = 1.5 [95% CI: 0.99 - 2.79], HR PAI1 = 2.6 [95% CI: 1.7 – 4.8]), whereas patients with elevated fractalkine levels were at lower risk to die within 90d (HR fractalkine = 0.37 [95% CI: 0.16 - 0.60]). For prediction of 90d mortality, the three assessed biomarkers showed a higher AUC than the PESI score. Combining the PESI score with the biomarkers did not further improve the AUC (Figure 2). Conclusions The protein biomarkers IL-21, PAI1 and fractalkine improve prediction of 90d mortality in elderly, hemodynamically stable PE patients compared to the PESI score. These biomarkers highlight the contribution of inflammation and thrombosis in the pathophysiology of PE and warrant further investigation.Baseline CharacteristicsROC Curves for Biomarkers and PESI Score

Clinical impact of serum cholinesterase level on clinical outcomes in patients with lower extremity artery disease undergoing endovascular treatment

Abstract Background Cholinesterase (ChE) has been used to be an indicator of the protein synthesis ability in the liver and nutritional status. Recent findings have identified low ChE levels as a prognostic factor for heart failure. However, the relationship between serum ChE levels and clinical outcomes in patients with lower extremity artery disease (LEAD) undergoing endovascular treatment (EVT) remains unclear. Purpose This study aimed to investigate the association between pre-procedure serum ChE levels and clinical outcomes in LEAD patients undergoing EVT. Methods The subjects were 283 consecutive LEAD patients who underwent EVT at our University Hospital were included. The primary outcome measure was the cumulative incidence of major adverse cardiovascular events (MACEs) within two years, defined as the composite of all-cause death, non-fatal myocardial infarction, and non-fatal stroke. Results The mean age of the cohort was 72.6±10.6 years, with 67.5% being male. Within two years, 45 patients experienced MACE, and Kaplan-Meier curves demonstrated the cumulative incidence of MACE within two years was 19.3%. Receiver operating characteristic curve analysis showed that serum ChE was a univariable factor that predicted MACE within two years with moderate accuracy (area under the curve = 0.693, 95% confidence interval (CI) 0.615–0.771), with an optimal serum ChE cutoff level of 284 units/L. According to the optimal cut-off value, patients were divided into low ChE (ChE ≤ 284 units/L, N=189) and high ChE ((ChE > 284 units/L, N=94) groups. In the baseline characteristics between the two groups, age was significantly higher in the low ChE groups than in the high ChE group. There were no significant differences in gender, the prevalence of diabetes mellitus, hypertension, and the proportions of previous stroke, and previous myocardial infarction between the two groups. In contrast, the proportions of hemodialysis (HD) and chronic limb-threatening ischemia (CLTI) were higher in the low ChE groups. Kaplan-Meier curves demonstrated a significantly higher cumulative incidence of MACE in the low ChE group compared to the high ChE group (log-rank p < 0.001). In multivariate analysis using Cox proportional hazards models adjusting for risk factors, including HD and CLTI, low ChE group was independently associated with MACE (low ChE group: hazard ratio (HR) 4.24, 95% confidence interval (CI) 1.24-14.49, p=0.021). In addition, Cox proportional hazards models using serum ChE level and HD revealed that patients with both low-ChE and HD showed a greater risk of MACE (HR 15.19; 95% CI 3.60–64.02; P < 0.001) after EVT as compared to patients with neither low-CHE nor HD. Conclusions In LEAD patients undergoing EVT, lower ChE levels were independently associated with a higher risk of MACE, regardless of HD. Assessment of serum ChE level may provide insights into identifying high-risk LEAD patients who need careful attention after EVT.

Navigating the complexity of User Engagement: need for normative evaluations in digital interventions

Abstract Digital behavioral change interventions (DBCI), leveraging digital technology to promote cognitive behavioral therapy or positive psychology techniques, can potentially revolutionize health promotion. With applications across a spectrum of health behaviors-from managing common mental health disorders to enhancing physical activity, addressing smoking cessation, alcohol use, and weight management-these interventions offer promise for both healthy and clinical populations. However, their effectiveness hinges significantly on user engagement. Digital interventions are prone to attrition due to their self-help and unguided nature, which impedes their translation from research to real-life settings. This talk discusses the findings of a scoping review to shed light on these complexities. Firstly, we explore the various methodologies used to evaluate engagement across studies, hindering effective comparison and understanding. Secondly, we address the lack of systematic assessment of engagement strategies, advocating for experimental research to fill this gap. Lastly, we emphasize the need to establish an optimal level of engagement for desired outcomes, noting that continuous engagement may not always be conducive to behavioral change interventions, which aim to instill lasting changes in individuals. This underscores the importance of comprehensive assessment using both objective and subjective measures. In conclusion, engagement with digital interventions encompasses both quantitative usage metrics and qualitative subjective experiences, highlighting the need for comprehensive assessment beyond the mere evaluation of frequency or duration. Contrary to common belief, increased engagement does not always lead to better outcomes. Too much engagement can lead to exhaustion, while too little can result in inefficiency. Therefore, designing a DBCI that encourages optimal use is essential, fostering a balance that maximizes effectiveness while minimizing adverse effects.

Multi‐Response Optimization of an Orthotropic Steel Deck Section with Thermo‐mechanical Tensioning

In this investigation, Taguchi's grey relational analysis (GRA) is utilized to optimize parameters in an orthotropic steel deck section subjected to thermo‐mechanical tensioning. In this study, it is aimed to determine optimal values for deck thickness, welding sequence, and welding speed, which are evaluated through finite‐element analysis based on outputs such as longitudinal stress, transverse stress, and deflection. In this study, a previously validated numerical simulation model is extended by conducting a parametric analysis to investigate the influence of varying parameters on the model's behavior. An analysis of variance is conducted to identify the most significant variable affecting the input parameters. Additionally, a confirmatory test is also performed to validate the characteristics of the Grey Relational Grade. In the results, it is indicated that faster welding speeds result in increased deflection of the deck plate. Furthermore, the transition from compressive to tensile longitudinal stress is more abrupt in thinner decks (9–10 mm) compared to thicker decks (11–12 mm). This redistribution of residual stresses is attributed to the increasing thickness of the deck plate. Optimal input levels (A2–B1–C1: 10 mm deck thickness, welding sequence case 1, and 0.005 m s−1 welding speed) are determined using GRA. Welding speed contributes the maximum to the optimization results among the evaluated variables.

Enhancing Superconductor Critical Temperature Prediction: A Novel Machine Learning Approach Integrating Dopant Recognition.

Doping plays a crucial role in determining the critical temperature (Tc) of superconductors, yet accurately predicting its effects remains a significant challenge. Here, we introduce a novel doping descriptor that captures the complex influence of dopants on superconductivity. By integrating the doping descriptor with elemental and physical features within a Mixture of Experts (MoE) model, we achieve a remarkable R2 of 0.962 for Tc prediction, surpassing all published prediction models. Our approach successfully identifies optimal doping levels in the Bi2-xPbxSr2Ca2-yCuyOz system, with predictions closely aligning with experimental results. Leveraging this model, we screen compounds from the Inorganic Crystal Structure Database and employ a generative approach to explore new doped superconductors. This process reveals 40 promising candidates for high Tc superconductivity among existing and hypothetical doped materials. By explicitly accounting for doping effects, our method offers a powerful tool for guiding the experimental discovery of new superconductors, potentially accelerating progress in high-temperature superconductivity research and opening new avenues for material design.

Love of life and flourishing in Turkish youth: mediating effects of optimism and hope

The concept of love of life, which refers to a positive attitude towards one's own life, care for it and attachment to it, has recently captured the attention of researchers in the field of positive psychology. Despite its growing importance, there is a lack of research investigating the underlying mechanisms through which love of life impacts the flourishing and well-being of individuals. For the first time, the present study examined the mediating roles of optimism and hope in the association between love of life and flourishing in Turkish youth. The study comprised 374 young adults, aged between 18 and 24 years (55.3% female; Mean age = 20.94; SD = 1.78 years), who participated in an online survey assessing their levels of love of life, optimism, hope, and flourishing. Results from the mediation analysis revealed that love of life significantly predicted optimism, hope, and flourishing. Furthermore, optimism and hope had significant predictive effects on flourishing. Importantly, optimism and hope played a partial mediating role in explaining the positive influence of the love of life on individuals' flourishing. The findings suggest a positive association between love of life and heightened levels of optimism and hope. These psychological attributes, in turn, emerge as crucial factors contributing to increased flourishing. These results hold significant implications for the development of interventions focused on understanding how to foster the love of life and flourish through the cultivation of psychological strengths.

Optimizing electrokinetic remediation for pollutant removal and electroosmosis/dewatering using lateral anode configurations

Soil electrokinetics (SEK) research has been widely used in various fields such as soil remediation, dewatering, land restoration, geophysics, sedimentation, pollution prevention, consolidation, and seed germination. According to our most recent published research on SEK process design modifications during the last 30 years (1993–2022), more than 150 designs have been introduced to assure SEK’s maximum performance. Incorporating lateral electrodes/anodes was not documented in the existing literature, which motivated us to investigate the output of this design. In this study, we aimed to enhance the performance of the perforated cathode pipe soil electrokinetic remediation (SEKR) system (PCPSS) for removing inorganic pollutants by installing lateral anodes (LA-PCPSS) using two approaches. In the first approach, the LA-PCPSS was connected to different sources of applied voltages (DSAV) from different power supplies, while in the second approach, the entire operation system was connected to the same source of applied voltage (SSAV). We used the Taguchi approach (L9OA) to determine the optimal levels of applied voltages for the DSAV system. The results indicated that the DSAV-(LA-PCPSS) could be optimized at an applied voltage of 1 V cm−1 for the surface and the first and second lateral anodes. The indigenous Sr (elements found in the tested soil without artificial pollution) in kaolinite showed the best response among other elements (Ni and other indigenous elements) when optimizing the DSAV-(LA-PCPSS) using the Taguchi approach. Installing lateral anodes (position B) supplied to low applied voltage (0.5 V cm−1) improved the electroosmosis (EO) rate/dewatering. Reverse migration of ions was observed during the remediation of real contaminated soil using the SSAV-(LA-PCPSS). The DSAV-(LA-PCPSS) is considered an appropriate design for the SEKR of inorganic pollutants, and increases the EO flow/dewatering. Additionally, the increased energy consumption employing the DSAV-(LA-PCPSS) was extremely minimal compared to the traditional PCPSS, which is an economic advantage for SEKR research. The DSAV-(LA-PCPSS) is still under optimization/intensification process, and subsequent processes will be examined to achieve high efficiency.

Effects of pH on Enzyme Activity in Pakistan

Purpose: The aim of the study was to assess the effects of pH on enzyme activity in Pakistan. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study indicated that effects of pH on enzyme activity are significant because enzymes are highly sensitive to the pH levels in their environment. Each enzyme has an optimal pH at which it functions most efficiently. Deviations from this optimal pH can lead to a decrease in enzyme activity. At extreme pH levels, enzymes may become denatured, altering their structure and impairing their ability to bind to substrates. This is because changes in pH can affect the ionic bonds and hydrogen bonds within the enzyme, altering its active site. As a result, enzyme activity typically increases as the pH approaches the optimal level, and decreases when the pH moves away from this point. Therefore, maintaining proper pH levels is crucial for the effective functioning of enzymes in biological systems. Implications to Theory, Practice and Policy: Lock and key model, induced fit theory and chemical equilibrium theory may be used to anchor future studies on the effects of pH on enzyme activity in Pakistan. In practical applications, industries utilizing enzymes should prioritize the implementation of rigorous pH monitoring and control systems to maintain optimal conditions for enzymatic activity. From a policy perspective, it is crucial for policymakers to establish clear guidelines governing the use of enzymes in industrial applications, with a particular emphasis on the importance of pH control in achieving optimal performance.

A view of immunologic male infertility from the perspective of preserving seminal fluid homeostasis

The basis of the pathogenesis of immunologic male infertility is the production of antisperm antibodies against sperm antigens by plasmocytes. Extracellular nucleic acids, among other antigens, are perceived as DAMPs. The clearance system for biological fluids is complex. Endonucleases are responsible for the utilization of extracellular DNA. Among endonucleases, DNase 1 is the most studied. Its concentration in biological fluids is higher than others. For the first time, we determined the concentration of DNase 1 in the seminal fluid of men of reproductive age. DNase 1 concentration values were compared with the level of antisperm antibodies in the ejaculate, after which the relationship between the enzyme level and standard spermogram parameters was determined. The material for the study was the ejaculate of 44 relatively healthy men of reproductive age. During spermiological analysis, macroscopic and microscopic parameters of seminal fluid were determined, the concentration of deoxyribonuclease 1 (DNase 1) in the material was determined by enzyme immunoassay, and the presence of antisperm antibodies was assessed using a direct diagnostic method – the MAR test. Statistical processing of the obtained data was carried out using analytical software PAST v. 4.06. Reference intervals for DNase 1 concentrations were calculated using the MedCalc v. 17.4 program. The relationship between spermogram parameters and DNase 1 concentration was assessed by calculating Spearman’s linear rank correlation coefficients. As a result, a negative correlation was found between the DNase 1 ratio and such ejaculate parameters as liquefaction time (rS = -0.37; p = 0.013) and viscosity (rS = -0.37; p = 0.013), as well as the level of antisperm antibodies A (rS = -0.43; p = 0.003) and G (rS = -0.33; p = 0.027), the mucous component of the ejaculate (rS = -0.37; p = 0.012) and agglutination of male germ cells (rS = -0.33; p = 0.029). According to the data obtained, the optimal level of DNase 1 is directly related to the quality of the ejaculate. Determination of DNase 1 concentration can serve as an additional diagnostic criterion for male immunological infertility. These data will expand our understanding of a man’s fertile potential.

Characterising the permanent deformation of subgrade soils under seasonal variation

Rutting, a prevalent failure mode in flexible pavements, largely stems from subgrade issues. Despite this, there is a lack of standard protocols to evaluate subgrade rutting or permanent deformation (PD). This study attempted to characterise PD in subgrades, focusing on a poorly graded sand and two silty sands. Moisture contents above and below optimum levels were considered to account for seasonal variations. The research involved adapting a test to assess the PD by determining typical stresses on the subgrade. Moreover, given these soils' unsaturated state and medium- to fine-grained nature, suction is an important factor. Suction-controlled multi-stage Repeated Load Triaxial tests were conducted, and the results were fitted by a PD model modified to account for suction. The characterisation was compared with the subgrade strain criterion used in pavement design solutions. Results indicated discrepancies between the PD characterisation and strain criteria predictions, with the silty sands performing better than the poorly graded sand, consistent with the shakedown theory.

Coupling Iron Coagulation and Microalgal–Bacterial Granular Sludge for Efficient Treatment of Municipal Wastewater: A Proof–of–Concept Study

The rapid expansion of global urbanization and industrialization has significantly increased the discharge of municipal wastewater, leading to issues of carbon emissions and energy consumption when using traditional biological treatment processes. This study proposes an innovative process that couples iron coagulation with microalgal–bacterial granular sludge (MBGS), with optimization and regulation based on operational conditions. The study found that the coagulation performance achieved optimal levels at an iron concentration of 25 mg/L and an anionic polyacrylamide concentration of 1 mg/L, which could remove approximately 61% of the organics and over 90% of phosphorus from raw wastewater. By relying on heterotrophic microorganisms, such as Proteobacteria, Bacteroidota, and Chloroflexi, along with the synergistic interaction between algae and bacteria, the subsequent MBGS process could further effectively remove organics over the day-night cycles. Moreover, the addition of inorganic carbon sources of NaHCO3 increased the abundance of denitrification-related genes, reduced the accumulation of nitrite within MBGS, and led to effective total nitrogen removal. These results indicate that the iron coagulation–MBGS coupling process can efficiently treat municipal wastewater, offering potential for environment-sustainable pollutant removal with reduced energy consumption. These findings provide valuable insights for the practical engineering application of MBGS in wastewater treatment systems aiming for carbon-neutral wastewater treatment.

Development of a German version of a single-question restless legs syndrome screening questionnaire

Abstract Background The “Single Question for the Rapid Screening of Restless Legs Syndrome (RLS Single Question) ©” is a questionnaire specifically designed to screen for restless legs syndrome (RLS). This research article describes the process of development and cultural adaptation of the German version of the questionnaire. Objective The primary objective of this study was to create a culturally appropriate and linguistically precise tool for evaluating RLS symptoms within German-speaking populations. Materials and methods The translation process involved meticulous forward and backward translations coupled with cognitive interviews conducted with patients to ensure the linguistic accuracy and cultural relevance of the instrument. Results The resultant final version of the questionnaire demonstrated an optimal level of comprehension and is anticipated to serve as an asset for the early detection and effective management of RLS among individuals who speak German. Conclusion The study highlights the successful development of the RLS questionnaire for the German-speaking context. Patient involvement in cognitive interviews proves pivotal in resolving minor comprehension issues. Its successful adaptation underscores the significance of comprehensive translation in diverse linguistic and cultural contexts, ultimately enhancing patient care. Future research will explore the validation of the test in larger populations and its integration into holistic diagnostic strategies.

Strategic Aeromedical Evacuations of the French Armed Forces in French Guiana From 2018 to 2020.

The French Armed Forces are deployed in French Guiana (FG) to protect national territory and ensure the security of strategically important sites. Military health support (MHS) provides medical support for missions in this tropical environment, which is hazardous and where confrontations are possible. MHS must organize tactical and strategic evacuations (Strat-AEs), so that an optimal level of care can be delivered. Overall, Strat-AE activity has been described previously but no specific data related to FG has been reported. The main objective of this study was to provide an overview of military Strat-AEs from FG. We conducted a retrospective cohort study from January 01, 2018 through 31 December, 2020. All patients who required a military Strat-AE were included, and we collected sociodemographic characteristics, medical information, service-related injuries and illnesses, and the reason for and conditions of evacuation. We analyzed 210 patients and 199 were included. Most were noncommissioned members (63.3%) and belonged to the Army (75.4%) and the Gendarmerie (15.6%). Injury or illness was duty-related in 66.2% of patients. The main cause for evacuation was nonbattle injury (63.3%), followed by illness (27.1%). Battle stress and injury accounted for 9.5%. The main reasons for evacuation were surgical conditions (58.3%), particularly orthopedic (47.2%). Medical (22.1%), psychiatric (18.6%), and dental (1.0%) disorders followed. Most patients were categorized by the flight surgeon as P3 (98.5%), the lowest level of priority, and D4 (82.9%), the lowest level of dependency. The escort used during evacuation was identical to that recommended by the requester in 83.5% of cases. The final destination was mainly a hospital (89.9%). The time lag between injury or onset of illness and the request for evacuation was significantly longer when local health resources were insufficient. The particularity of FG is a local health care system that provided initial care before the evacuation. To reduce the number of Strat-AEs in FG, the risk of nonbattle injury must be lessened and improvements must be made to the local health care system and to the partnership between civilian and military health services.