Minimum Value Research Articles

Feasibility Verification and Upper Bound Computation in Global Minimization Using Approximate Active Index Sets

We propose a new upper bounding procedure for global minimization problems with continuous variables and possibly nonconvex inequality and equality constraints. Upper bounds are crucial for standard termination criteria of spatial branch-and-bound (SBB) algorithms to ensure that they can enclose globally minimal values sufficiently well. However, whereas for most lower bounding procedures from the literature, convergence on smaller boxes is established, this does not hold for several methods to compute upper bounds even though they often perform well in practice. In contrast, our emphasis is on the convergence. We present a new approach to verify the existence of feasible points on boxes, on which upper bounds can then be determined. To this end, we resort to existing convergent feasibility verification approaches for purely equality and box constrained problems. By considering carefully designed modifications of subproblems based on the approximation of active index sets, we enhance such methods to problems with additional inequality constraints. We prove that our new upper bounding procedure finds sufficiently good upper bounds so that termination of SBB algorithms is guaranteed after a finite number of iterations. Our theoretical findings are illustrated by computational results on a large number of standard test problems. These results show that compared with interval Newton methods from the literature, our proposed method is more successful in feasibility verification for both, a full SBB implementation (42 instead of 26 test problems) and exhaustive sequences of boxes around known feasible points (120 instead of 29 test problems). History: Accepted by Antonio Frangioni, Area Editor for Design & Analysis of Algorithms–Continuous. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2023.0162 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2023.0162 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

Behavior of froth in absence and presence of particles

This work aims to study the effect of entrained and captured particles on the properties of the froth. It was established that the entrained particles act as froth suppressors, while captured particles act as froth boosters. The average liquid hold up of froths containing entrained particles increases with the increase of the gas flow rate. On the contrary, the froths with mostly captured particles exhibit the opposite dependence. Our study on the liquid hold up on the top of the froth versus the gas flow rate show that the froth with entrained particles increases its liquid hold up on the top until reaching a maximum, beyond which a decrease is observed. Surprisingly, the froth with mostly captured particles shows different behavior – its liquid hold up on the top practically does not depend on the gas flow rate, yet it can be seen at a certain minimal value. Overall, this work reports than entrained and captured particles cause substantiall different and even opposite effects on the froth stability and the liquid hold of the flotation froth.

An In Vitro Evaluation of the Antimicrobial Efficacy of a Novel Irrigant Using Next-Generation Sequencing

IntroductionTo evaluate the antimicrobial activity of Triton irrigation versus 4% sodium hypochlorite (NaOCl) utilizing a direct contact test and an extracted tooth model. MethodsIn the first experiment, a direct contact test was conducted to compare bacterial DNA removal and microbial diversity changes following irrigation with 4% NaOCl or Triton. Hydroxyapatite and dentin discs were inoculated with subgingival human-derived dental plaque for 2 weeks utilizing the Center for Disease Control biofilm reactor and subsequently challenged with the root canal irrigants for 5 minutes. In the second experiment, teeth contaminated with a multispecies biofilm (n = 24) were assigned into two treatment groups, NaOCl or Triton irrigation. Samples were obtained for quantitative real-time polymerase chain reaction and next-generation sequencing analysis before and after instrumentation. The Shannon and Chao1 indices were used to measure alpha diversity. The Bray–Curtis dissimilarity and ANOSIM was used to measure beta diversity. Differences in abundances of genera were evaluated using Kruskal–Wallis test with Bonferroni corrections. ResultsThe direct contact test revealed no significant differences in the bacterial load based on 16S rRNA gene molecules/μL, reads, or differences in the Shannon index among groups. In the extracted tooth model, a bacterial load reduction of log10 3.08 ± 0.69 and 2.76 ± 0.91 were found for NaOCl and Triton, respectively (P = .348). Next-generation sequencing showed fewer reads, lower Chao1, and beta diversity values when pretreatment and post-treatment samples were assessed in both experimental groups (P < .0001). The Kruskal–Wallis analysis found that 17 genera of bacteria were over-represented in minimal values in the Triton post-treatment group, 14 of these genera represented less than 1% of the microbial community. ConclusionsBoth irrigants had limited antimicrobial activity in the direct contact test. When used in conjunction with mechanical instrumentation both irrigants were able to reduce the bacterial DNA load and diversity in comparison with pretreatment communities. The NaOCl irrigation, followed by ethylenediaminetetraacetic acid flush, was more effective in decreasing DNA counts from low-abundance organisms.

Machine learning for prediction of ventricular arrhythmia episodes from intracardiac electrograms of automatic implantable cardioverter-defibrillators

BackgroundDespite effectiveness of the implantable cardioverter-defibrillator (ICD) in saving patients with life-threatening ventricular arrhythmias (VAs), the temporal occurrence of VA after ICD implantation is unpredictable. ObjectiveThe study aimed to apply machine learning (ML) to intracardiac electrograms (IEGMs) recorded by ICDs as a unique biomarker for predicting impending VAs. MethodsThe study included 13,516 patients who received Biotronik ICDs and enrolled in the CERTITUDE registry between January 1, 2010, and December 31, 2020. Database extraction included IEGMs from standard quarterly transmissions and VA event episodes. The processed IEGM data were pulled from device transmissions stored in a centralized Home Monitoring Service Center and reformatted into an analyzable format. Long-range (baseline or first scheduled remote recording), mid-range (scheduled remote recording every 90 days), or short-range predictions (IEGM within 5 seconds before the VA onset) were used to determine whether ML-processed IEGMs predicted impending VA events. Convolutional neural network classifiers using ResNet architecture were employed. ResultsOf 13,516 patients (male, 72%; age, 67.5 ± 11.9 years), 301,647 IEGM recordings were collected; 27,845 episodes of sustained ventricular tachycardia or ventricular fibrillation were observed in 4467 patients (33.0%). Neural networks based on convolutional neural networks using ResNet-like architectures on far-field IEGMs yielded an area under the curve of 0.83 with a 95% confidence interval of 0.79–0.87 in the short term, whereas the long-range and mid-range analyses had minimal predictive value for VA events. ConclusionIn this study, applying ML to ICD-acquired IEGMs predicted impending ventricular tachycardia or ventricular fibrillation events seconds before they occurred, whereas midterm to long-term predictions were not successful. This could have important implications for future device therapies.

Nondestructive assessment of ZnO surge arrester operating condition based on time-domain dielectric characteristics

Given the expansion of the economy and the rise in electricity demand, it is imperative to ensure the safe operation of the power system. Zinc oxide (ZnO) surge arresters play a crucial role in preventing overvoltage that can potentially harm the grid. The study presents an innovative non-destructive assessment approach for evaluating the working condition of ZnO surge arresters based on time-domain dielectric characteristics, aiming to guarantee their safe functioning within the power grid. The proposed technique provides a platform for conducting aging experiments updates the procedure for preparing piezoresistors in ZnO surge arresters and examines their performance. Furthermore, a test bed was utilized to investigate polarization/depolarization currents. The findings revealed that the pressure-sensitive voltage exhibited a minimum value of 693.09 U1mA ·cm2 using the traditional solid-phase approach while employing the chemical precipitation method with a 2:1 alcohol-to-water volume ratio resulted in a maximum value of 1028.41 U1mA ·cm2. Under the traditional solid-phase method, the voltage gradient varied from 411.04 V·mm−1 to 585.12 V·mm−1 when using the chemical precipitation method with an alcohol-to-water volume ratio of 2:1 V ·mm−1. The condition of ZnO surge arresters can be evaluated non-destructively by the polarization/depolarisation charge differential, which increases with the average service life. In conclusion, this study provides methodological criteria for assessing ZnO surge arrester conditions to ensure safe operation of power grids.

Application of Sequential Linear Goal Programming Method and Modified Simplex Method for Production Planning Optimization

Production planning is an important thing in company management. Every company aims to seek maximum profit in its business activities, so it must be able to utilize its resources as optimally as possible. This study was conducted to determine whether or not any production planning that has been implemented at Istana Roti Hilyah Bakery is optimal. This research aimed to maximize revenue and profit, minimize production costs and raw material usage and optimize production quantities using the sequential linear goal programming method and the simplex modification method with the assistance of LINGO software. Based on the study's results, the revenue increased by IDR 60,000, and the profit increased by IDR 66,679. The minimization value of production costs decreased by IDR 6,679, with the production amount of White Bread as many as 60 pcs, Almond Crumble Bread as many as 45 pcs, Chocolate Crumble Bread as many as 50 pcs, Wheat Bran Bread as many as 55 pcs, Sweet Comb Bread as many as 82 pcs and Jam Comb Bread as many as 84 pcs.

Multi-variants vision transformer-based malware image classification model using multi-criteria decision-making

Visualization-based malware detection gets more and more attention for detecting sophisticated malware that traditional antivirus software may miss. The approach involves creating a visual representation of the memory or portable executable files (PEs). However, most current visualization-based malware classification models focus on convolution neural networks instead of Vision transformers (ViT) even though ViT has a higher performance and captures the spatial representation of malware. Therefore, more research should be performed on malware classification using vision transformers. This paper proposes a multi-variants vision transformer-based malware image classification model using multi-criteria decision-making. The proposed method employs Multi-variants transformer encoders to show different visual representation embeddings sets of one malware image. The proposed architecture contains five steps: (1) patch extraction and embeddings, (2) positional encoding, (3) multi-variants transformer encoders, (4) classification, and (5) decision-making. The variants of transformer encoders are transfer learning-based models i.e., it was originally trained on ImageNet dataset. Moreover, the proposed malware classifier employs MEREC-VIKOR, a hybrid standard evaluation approach, which combines multi-inconsistent performance metrics. The performance of the transformer encoder variants is assessed both on individual malware families and across the entire set of malware families within two datasets i.e., MalImg and Microsoft BIG datasets achieving overall accuracy 97.64 and 98.92 respectively. Although the proposed method achieves high performance, the metrics exhibit inconsistency across some malware families. The results of standard evaluation metrics i.e., Q, R, and U show that TE3 outperform the TE1, TE2, and TE4 variants achieving minimal values equal to 0. Finally, the proposed architecture demonstrates a comparable performance to the state-of-the-art that use CNNs.

Development and Validation of a Psychoeducational Video on Depression.

Background Depression is an important public health issue that affects many university studentsworldwide. It causes a wide range of physiological impairments, resulting in high mortality and morbidity rates. Regardless of the severity of the situation, the lack of knowledge about depression prevents them from seeking help. Furthermore, many individuals mistakenly believe that supernatural powers cause mental illnesses, which leads them to seek treatment from traditional healers instead of medical professionals. Therefore, video is a suitable instrument for disseminating information about depression because it corresponds to the younger generations' preferred method of accessing information. However, there is a scarcity of research on the development of psychoeducational videos aimed at improving depression literacy among university students in Malaysia. Hence, this study was conducted to address this research gap. Methods The study was conducted from October 2022 to October 2023, following the guidelines of video production and the principles of psychoeducation. During the preproduction phase, the script was written based on medical reference books and medically reviewed websites. The script's consistency, relevance, representativeness, and clarity were validated by five subject-matter experts. Subsequently, it was translated into Malay, which is the national language of Malaysia, to create subtitles. This wasfollowed by script breakdown, storyboard and shot list creation, location scouting, blocking, shooting schedule, preparing call sheets, and recruiting talents. The production phase included the activities of voiceover recordings and filming, followed by the post-production phase, which consisted of video editing. Nine subject matter experts and 30 end-users validated the video by assessing its functionality, usability, efficiency, audio-visual style, and setting. Results The video script scored an overall item-level content validity index (I-CVI) and scale-levelcontent validity indexbased on the average method (S-CVI/Ave) value of 1 for the domains of consistency, relevancy, representativeness, and clarity. On the other hand, the video's I-CVI and S-CVI/Ave scores indicated that it met the minimum acceptable valueof 0.78(with a range of 0.78 to 1) and 0.9 (with a range of 0.92 to 0.98) in the domains of functionality, usability, efficacy, audiovisual technique, and setting. Similarly, the video'sitem-level face validity index (I-FVI) achieved a minimal value of 0.80 (with a range of 0.87 to 1) across all domains following validation by 30 end-users. The video's scale-level face validity index based on the average method (S-FVI/Ave) scored 0.91, 0.96, and 0.97 for functionality, usability, and consistency domains, while the audiovisual technique and setting domains scored 0.94 and 0.98, respectively. The feedback from participants included reducing the video speed to increase subtitle readability, replacing gloomy background music with a more vibrant composition and tempo, and substituting stock videos with footage depicting Asian settings. Conclusion The psychoeducational video, titled "Educating University Students About Depression: A Short Documentary," serves as a valid instrument for disseminating information pertaining to depression. The practical application of this video has the potential to improve depression literacy and mitigate the adverse consequences of depression among university students.

The unconfined compressive strength estimation of rocks using a novel hybridization technique based on the regulated Gaussian processor

The unconfined compressive strength (UCS) of rocks is a crucial factor in geotechnical engineering, assuming a central role in various civil engineering undertakings, including tunnel construction, mining operations, and the design of foundations. The precision in forecasting UCS holds paramount importance in upholding the security and steadfastness of these endeavors. This article introduces a fresh methodology for UCS prognostication by amalgamating Gaussian process regression (GPR) with two pioneering optimization techniques: sand cat swarm optimization (SCSO) and the equilibrium slime mould algorithm (ESMA). Conventional techniques for UCS prediction frequently encounter obstacles like gradual convergence and the potential for becoming ensnared in local minima. In this investigation, GPR is the foundational predictive model due to its adeptness in managing nonlinear associations within the dataset. The fusion of GPR with cutting-edge optimizers is envisioned to elevate the precision and expeditiousness of UCS prognostications.An extensive collection of rock samples, each accompanied by UCS measurements, is harnessed to assess the suggested methodology. The efficacy of the GPSC and GPES models is juxtaposed with the conventional GPR technique. The findings reveal that incorporating SCSO and ESMA optimizers into GPR brings about a noteworthy enhancement in UCS prediction accuracy and expedites convergence. Notably, the GPSC models exhibit exceptional performance, evidenced by an exceptional R2 value of 0.995 and an impressively minimal RMSE value of 1.913. These findings emphasize the GPSC model’s potential as an exceedingly auspicious tool for experts in the realms of engineering and geology. It presents a sturdy and dependable method for UCS prediction, a resource of immense value in augmenting the security and efficiency of civil engineering endeavors.

Chemical composition, antioxidant, antimicrobial and antibiofilm activities of essential oil from the Moroccan endemic Plant, Calendula maroccana (Ball) B. D. Jacks.

The chemical characterization of the essential oil of the endemic Moroccan species, Calendula maroccana, was achieved by GC and GC-MS methods. The antioxidant, antimicrobial and antibiofilm activities of this essential oil were also studied. Eighty-one compounds were identified in the essential oil, representing 94.82% of the total. Sesquiterpenes predominate in the essential oil; 2-Methoxy-4-vinylphenol (16.13%), δ-amorphene (13.56%), α-cedrene (6.23%), γ-curcumene (5.10%) and α-bisabolol (4.94%) were the main constituents. The antioxidant potential was evaluated by DPPH, FRAP and ABTS assays: the essential oil exhibited antioxidant effectiveness with IC50 values of 0.92, 0.3 and 1.7 mg/mL, respectively. Moreover, the essential oil showed potent antimicrobial activity as revealed by inhibition zone values against selected clinically important pathogenic microorganisms. Inhibition zone values of 15.33 ± 0.19, 23 ± 0.05 and 15.33 ± 0.33 mm were observed against Staphylococcus aureus, Candida albicans and C. tropicalis, respectively. The maximal and minimal inhibition concentration values were in the range of 0.25 ± 0.17 - 4.68 ± 0.10 mg/mL for bacteria and 0.06 ± 0.03 - 0.12 ± 0.14 mg/mL, for Candida. The essential oil showed potent anti-biofilm activity with dual actions, inhibiting (69 - 88%) and eradicating (75 - 92%) the biofilms formed by the three tested bacteria strains. Based on these results, this essential oil can be considered as a natural antioxidant, antibacterial and antibiofilm agent that could be applied in phytotherapy, pharmaceutical and food sectors.

Toxicity and Phytochemical Analysis of Five Medicinal Plants

Recent studies have shown that long-term uses of herbs have been associated with a rise in morbidity and mortality rates. While most researches are focused on bioactivity investigations, the toxicity of many plants has not been reported. There is a paucity of data on the potential toxicity of the following plants: Harungana madagascariensis (HM), Pterocarpus osun (PO), Phoenix dactylifera (PD), Annona muricata (AM), and Rutidea parviflora (RP). To evaluate the toxicity of the above-mentioned plants; two tests were employed namely: The Brine shrimp lethality test (BSLT) and the Allium cepa test. A correlation between the oral acute toxicity assay in mice and the LC50 obtained from BSLT has been established. Allium cepa test measures the potential genotoxic effects of plant extracts exerted on the root meristem of A. cepa (onions). Plant extracts were administered in concentrations ranging from 100 to 2500 µg/ml to the A. cepa for 72 h to obtain their Mitotic Indices (MI) and EC50. Results of the MI at 2500 µg/ml for HM, PO, PD, AM, and RP were 3.75, 4.96, 5.96, 6.10, and 6.71 while 281.81, 398.11, 501.19, 630.96, and 707.9 µg/ml were obtained as the respective EC50 values. Furthermore, 10-1000 mcg/ml concentrations were administered in the BSLT and the obtained LC50 values were 116.3, 250, 581.5, 581.5, and 750 µg/ml. The toxicity result demonstrated that the five plants were moderately toxic, with RP exhibiting minimal toxicity values and thus potentially having a good safety profile. The phytochemical screening of these plants revealed the presence of some pharmacologically important classes of compounds that are abundant. Several bioactive and toxic compounds were identified in the GC-MS analysis for some of the plants.

The Epidemiology of Needlestick and Sharp Injuries Among Healthcare Workers in a Secondary Care Hospital in Saudi Arabia: A Retrospective Study.

Introduction Needlestick and sharp injuries (NSI) continue to pose a significant risk for healthcare workers (HCWs) at their workplace. The incidence rate of NSI in hospitals depends on multiple risk factors. This study aimed to analyze the epidemiological characteristics of NSI among HCWs and the risk factors influencing NSI rates and to provide further direction for NSI prevention in secondary care hospitals. Methods This study included all the NSI cases reported by HCWs in King Abdul Aziz Hospital, Makkah from 2005 to 2017. All the cases were recorded in the Exposure Prevention Information Network (EPINet™)database (International Healthcare Worker Safety Center, University of Virginia, Charlottesville, USA). The study was executed by using data loaded in the EPINet™Program, the hospital electronic recording system Medica Plus, and analyzed by the StatisticalPackage for the Social Sciences program (SPSS Inc. Released 2007. SPSS for Windows, Version 15.0. Chicago, SPSS Inc.). Results During the period of study, 524 NSI cases were reported. The mean incidence rate per 100 occupied beds with 95% CI was 25.43 (22.05-28.81) and a statistically insignificant decline in NSI incidence rate was observed from 2005 to 2017. The maximal annual incidence rate (35.63 per 100 occupied beds) was registered in 2010 and the minimal value (14.84 per 100 occupied beds) in 2013. Injuries were mainly reported in patient rooms/wards (30.2%) and most frequently by nurses (56.1%). The mean of incident reporting within 24 hours was 74.0, 95% CI (67.19-80.73). This rate showed a statistically significant (p=0.01) increasing trend of 5.0% per annum. The mean of identified source patients - 83.5, 95% CI (79.13- 87.23) - possessed an annual 2.1% rise during 2005-2017 which was statistically insignificant (p=0.7). Cases occurred after the use/before disposal of items in 45.0% of cases and during the use of items in 44.7%. Hollow-bore needles caused injuries in 46.5% of incidents. Blood sample taking - 23.2% and IV or arterial line insertion/removal/manipulation (19.1%) - presented exposure-prone procedures posing the highest risk. Conclusions The results of this study revealed a high rate of NSI in the hospital. NSI rate in hospitals was impacted by a group of related risk factors, particularly, the location of risk (patient room/ward, intensive care unit (ICU), and emergency room (ER) depending on job intensity, the kind and frequency of exposure-prone procedures (blood sample taking, IV or arterial line insertion/removal/manipulation) and handling of hollow-bore and solid needle connected to the main healthcare professional group at risk (nurses). Future direction in NSI prevention requires a complex approach of continuous staff education along with the usage of devices with safety features.

On stability behaviors of 5D M-theory black objects

Using N = 2 supergravity formalism, we investigate certain behaviors of five-dimensional black objects from the compactification of M-theory on a Calabi–Yau three-fold. The manifold has been constructed as the intersection of two homogeneous polynomials of degrees (ω + 2, 1) and (2, 1) in a product of two weighted projective spaces given by WP4(ω,1,1,1,1)×P1 . First, we determine the allowed electric charge regions of the BPS and non BPS black holes obtained by wrapping M2-branes on appropriate two cycles in such a proposed Calabi–Yau three-fold. After that, we calculate the entropy of these solutions which takes a maximal value corresponding to ω = 1 defining the ordinary projective space P4 . For generic values of ω, we show that the non BPS states are unstable. Then, we conduct a similar study of five-dimensional black strings. Concerning the allowed magnetic charge regions of the BPS and non BPS black stringy solutions derived from M5-branes on dual divisors, we calculate the tension taking a minimal value for P4 . By determining the recombination factor, we show that the non-BPS black string states are stable in the allowed regions in the magnetic charge space.

Linear Transformations Preserving the Minimal Values of the Cyclicity Index of Tropical Matrices

Linear Transformations Preserving the Minimal Values of the Cyclicity Index of Tropical Matrices

Design, optimization and pharmaceutical characterization of wound healing film dressings with chloramphenicol and ibuprofen

Objective The aim of the present study was to develop and optimize a wound dressing film loaded with chloramphenicol (CAM) and ibuprofen (IBU) using a Quality by Design (QbD) approach. Significance The two drugs have been combined in the same dressing as they address two critical aspects of the wound healing process, namely prevention of bacterial infection and reduction of inflammation and pain related to injury. Methods Three critical formulation variables were identified, namely the ratios of Kollicoat SR 30D, polyethylene glycol 400 and polyvinyl alcohol. These variables were further considered as factors of an experimental design, and 17 formulations loaded with CAM and IBU were prepared via solvent casting. The films were characterized in terms of dimensions, mechanical properties and bioadhesion. Additionally, the optimal formulation was characterized regarding tensile properties, swelling behavior, water vapor transmission rate, surface morphology, thermal behavior, goniometry, in vitro drug release, cell viability, and antibacterial activity. Results The film was optimized by setting minimal values for the folding endurance, adhesive force and hardness. The optimally formulated film showed good fluid handling properties in terms of swelling behavior and water vapor transmission rate. IBU and CAM were released from the film up to 80.9% and 82.5% for 8 h. The film was nontoxic, and the antibacterial activity was prominent against Micrococcus spp. and Streptococcus pyogenes. Conclusions The QbD approach was successfully implemented to develop and optimize a novel film dressing promising for the treatment of low-exuding acute wounds prone to infection and inflammation.

Longitudinal association of grip strength with cardiovascular and all-cause mortality in older urban Lithuanian population.

Ageing populations experience greater risks associated with health and survival. It increases the relevance of identifying variables associated with mortality. Grip strength (GS) has been identified as an important biomarker for all cause and cardiovascular mortality, however, its prognostic value has not been studied in Lithuania. The aim of the present study is to evaluate the relationship of GS to vital status in a representative sample of the Lithuanian 45-72-year-old urban population during the period of 12 years of follow-up and to explore associations of GS with all-cause mortality and mortality from cardiovascular diseases (CVD). Within the framework of the international study Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) 7,115 men and women 45-72 years of age were examined in the baseline survey (2006 to 2008). Data from the Official Lithuanian Mortality Register were used to evaluate CVD and all-cause mortality from follow-up till 2020. Cox proportional hazards regression was used, and four models for all-cause and CVD mortality were assessed. The mean GS was significantly higher among survivors' men and women as compared to individuals deceased from CVD and other causes of death. In survivor men and women groups, minimal values of GS in all terciles were higher as compared to all three deceased groups. In both men and women groups, the lowest GS (1st tercile) was associated with a significantly higher risk of all-cause and CVD mortality as compared to the highest levels of GS (3rd tercile) in three Cox regression models. In both men and women were found to have a 1.34- and 1.35-fold higher risk of all-cause mortality, respectively, at lower GS, but no significant difference in the risk of CVD mortality. When GS was treated in all models as decrement per 1kg and decrement per 1 SD, in both men and women, the risk of all-cause mortality significantly increased with decreasing of GS. The mean GS was significantly higher among survivors' men and women as compared to deceased from CVD and other causes of death. Risk of all-cause mortality significantly increased with decreasing of GS.

Advanced confidence methods in deep learning

The typical aim of classification tasks is to maximize the accuracy of the predicted label for a given input. This accuracy increases with the confidence, which is the maximal value of the output units, and when the accuracy equals confidence, calibration is achieved. Herein, several methods are proposed to enhance the accuracy of inputs with similar confidence, extending significantly beyond calibration. Using the first gap between the maximal and second maximal output values, the accuracy of the inputs with similar confidence is enhanced. The extension of the confidence or confidence gap to their minimal value among a set of augmented inputs further enhances the accuracy of inputs with similar confidence. Enhanced accuracies are demonstrated on EfficientNet-B0 trained on ImageNet and CIFAR-100, and VGG-16 trained on CIFAR-100. The results suggest improved applications for high-accuracy classification tasks that require manual operation for a given fraction of low-accuracy inputs.

Hybrid inorganic-organic capsules encapsulated FeNi with enhanced corrosion resistance and microwave absorption

Responding to the critical need for stable microwave absorption (MA) devices in complex and extreme environments, dual-function electromagnetic wave absorbers have garnered significant attention. Addressing this, we developed a novel FeNi-based composite encapsulated within superhydrophobic SiO2@Perfluorooctyltriethoxysilane (F13)/Methyltrimethoxysilane (MTMS) hybrid capsules, approximately 28-nm-thick, utilizing a straightforward one-pot strategy. This innovative FeNi@SiO2@F13/MTMS composite surpassed pure FeNi, exhibiting an effective MA bandwidth of 8.16 GHz and a minimal reflection loss value of −24.03 dB at 2.00 mm. It also boasted the largest radar scattering cross-section reduction value recorded at 21.09 dB m2. The enhanced MA properties were primarily attributed to the SiO2@F13/MTMS, which significantly improved the substrate's impedance matching. In addition to facilitating multiple scattering and reflection, it also triggered dipole and interfacial polarization. Moreover, the SiO2@F13/MTMS layer was instrumental in reducing the corrosion current density of FeNi from 3.512 mA cm2 to 5.59 nA cm2, thereby demonstrating exceptional corrosion resistance. This remarkable improvement was largely due to the surface hydrophobicity and the barrier effect provided by the hybrid capsules. Our exploration into corrosion-resistant and efficient MA materials provides valuable insights for the rational design of bifunctional components tailored for specific applications.

Calorimetric Studies and Thermodynamic Modeling of Ag-Mg-Ti Liquid Alloys.

Due to the absence of thermodynamic data concerning the Ag-Mg-Ti system in the existing literature, this study aims to fill this gap by offering the outcomes of calorimetric investigations conducted on ternary liquid solutions of these alloys. The measurements were performed using the drop calorimetry method at temperatures of 1294 K and 1297 K for the liquid solutions with the following constant mole fraction ratio: xAg/xMg = 9/1, 7/3, 1/1, 3/7 [(Ag0.9Mg0.1)1-xTix, (Ag0.7Mg0.3)1-xTix, (Ag0.5Mg0.5)1-xTix, (Ag0.3Mg0.7)1-xTix)], and xAg/xTi = 19/1 [(Ag0.95Ti0.05)1-xMgx]. The results show that the mixing enthalpy change is characterized by negative deviations from the ideal solutions and the observed minimal value equals -13.444 kJ/mol for the Ag0.95Ti0.05 alloy and xMg = 0.4182. Next, based on the thermodynamic properties of binary systems described by the Redlich-Kister model and the determined experimental data from the calorimetric measurements, the ternary optimized parameters for the Ag-Mg-Ti liquid phase were calculated by the Muggianu model. Homemade software (TerGexHm 1.0) was used to optimize the calorimetric data using the least squares method. Next, the partial and molar thermodynamic functions were calculated and are presented in the tables and figures. Moreover, this work presents, for comparative purposes, the values of the enthalpy of mixing of liquid Ag-Mg-Ti alloys, which were calculated using Toop's model. It was found that the best agreement between the modeled and experimental data was observed for the cross-sections xAg/xTi = 19/1 [(Ag0.95Ti0.05)1-xMgx] and xAg/xMg = 9/1 [(Ag0.9Mg0.1)1-xTix]. The results of the experiments presented in this paper are the first step in the investigation and future evaluation of the thermodynamics of phases and the calculation of the phase diagram of the silver-magnesium-titanium system.

Biogeochemical modelling to assess the effect of bioclogging on multiple electron acceptor-mediated petroleum hydrocarbon bioremediation in vadose zone.

Bioremediation is an economically viable and sustainable clean-up strategy. Hydrodynamic, as well as transport characteristics of the porous medium, can evolve over the period as a result of biological clean-up activities. The present study proposes a 2-D numerical framework to simulate the effect of bioclogging on multiple electron acceptor-mediated petroleum hydrocarbon bioremediation in the vadose zone. For modelling, a spill of BTEX (benzene, toluene, ethylbenzene and xylene) is assumed near source zone. The developed model results are validated using three previously published datasets on flow, transport and biodegradation in the vadose zone. Simulations are performed for three types of soil, including clay, sand and loam. The analysis shows that sand has a maximum infiltration rate and clay has a minimum. Hydraulic conductivity and saturation profile peaks reach their minimal value at a shallower depth (around four times) when bioclogging is present compared to when it is absent. The migration depth and concentration of BTEX are observed to be restricted to a shallower depth in aquifers with the presence of microbial clogging. The outcome shows that electron acceptor consumption is more (around sevenfold for oxygen, fourfold for nitrate and threefold for sulphate) in the presence of bioclogging at the shallower zone. Zeroth order spatial moment and sensitivity analyses show that biological clogging, number of electron acceptors and inhibition constant substantially affect BTEX bioremediation in the vadose zone.