Stable Results Research Articles

Determination of Maxillary and Mandibular Arch Width in Angle’s Class I Patients

Introduction: The transverse dimension plays a key role in smile. Maintaining the pretreatment arch form is a key to obtaining stable results. Objectives: The main aim of this study was to determine mean intercanine arch width and mean intermolar arch width in Angle’s class I patients. Methods: Seventy-six pretreatment casts were obtained from the records of patients who sought orthodontic treatment in Orthodontics and Dentofacial Orthopedics. Four parameters were used in this study namely; intercanine arch width and intermolar arch width in maxilla and mandible. Linear measurements were carried out with digital caliper. Kappa test was done for intra-observer reliability. Shapiro-Wilk test was done to determine the normal distribution of data. The Pearson Correlation test was done to assess the correlation between intercanine and intermolar arch width in maxilla and mandible. The independent t-test was used to compare between intercanine and intermolar arch width with male and female. Results: Mean intercanine arch width in maxilla and mandible were 35.41±1.47 mm and 26.85±1.59 mm respectively. Mean intermolar arch width in maxilla and mandible were 53.82±2.82 mm and 51.71±2.60 mm respectively. Statistically significant difference was found between intercanine and intermolar arch width in maxilla and mandible between male and female. The intercanine and intermolar arch width in maxilla and mandible has significantly low correlation. Conclusions: Intercanine and intermolar arch width in male and female were statistically significant and male has lager intercanine and intermolar arch width than female.

Determination of optimal solar-viewing geometry for in-flight polarization calibration using sun glint over ocean

The sun glint has been proven to be a valuable natural polarization calibration target because it is strongly polarized, and its polarization characteristics can be accurately simulated with models. It is convenient to calibrate the satellite’s in-flight polarimetry by comparing the polarization simulations with actual measurements. Meanwhile, the accuracy of polarization simulation at the top of the atmosphere (TOA) over sun glint is affected by several atmospheric and oceanic surface factors and depends on the specific solar-viewing geometry. In this paper, the sensitivity of the degree of linear polarization (DOLP) at the TOA to the uncertainties of the aerosol optical depth, aerosol model, absorption gas content (CWV, O3), sea surface instantaneous wind speed (WS), and chlorophyll concentration (Chl) under different solar-viewing geometries is analyzed via radiative transfer simulation. The error budgets indicate that aerosols and WS are the main error factors for polarization calibration, while the uncertainties of Chl and absorbing gases can be disregarded. The total DOLP error increases with the solar zenith angle and viewing zenith angle (i.e., the increase of atmospheric optical path) and the sun glint angle (SGA, the angle between the viewing and the specular directions of the sun) (i.e., the decrease of sun glint brightness). The dependence of the total DOLP error on SGA decreases with the WS (i.e., the increase of sun glint spot area and the decrease of the sun glint intensity) and increases with the wavelength (i.e., the decrease of atmospheric scattering contribution). Based on the error budgets, an optimized solar-viewing geometry screening strategy is proposed to ensure that the simulated DOLP error is limited to 0.02. The in-flight DOLP calibration result of POLDER/PARASOL shows that the proposed screening strategy obtained more calibration samples and covered a wider range of DOLP, especially for the samples with DOLP of less than 0.2, compared with the screening strategies of Toubbe et al. [IEEE Trans. Geosci. Remote Sens. 37, 513 (1999)IGRSD20196-289210.1109/36.739104]and Hagolle et al. [IEEE Trans. Geosci. Remote Sens. 42, 1472 (2004)IGRSD20196-289210.1109/TGRS.2004.826805] in previous work. The smaller standard error (SE) of the samples indicates more stable calibration results obtained for the optimized strategy. This research presents an optimized strategy for screening the solar-viewing geometry of the samples to calibrate satellite in-flight polarization measurements using the sun glint.

Subsistence economy in the eastern Ordos Plateau, China during the late Warring States Period (c. 221 BCE) by stable isotope analysis

This case study presents stable carbon and nitrogen isotopic results of 40 human bones (δ13C value range: −9.7 ‰ ∼ −7.7 ‰, mean ± SD value: −8.6 ± 0.4 ‰; δ15N value range: 6.7 ‰ ∼ 10.0 ‰, mean ± SD value: 8.3 ± 0.7 ‰) from the Chuanzhang cemetery in the eastern Ordos Plateau, China during the late Warring States Period (c. 221 BCE), which indicate that the past populations mainly relied on C4-based food. Despite different archaeological cultures, all past populations in the Chuanzhang cemetery had a similar dietary pattern and subsistence economy. Based on archaeological and historical analysis, people in the Chuanzhang cemetery made their living mainly by millet-based agriculture, supplemented by animal husbandry. Comparing isotopic data published from adjacent and contemporary cemeteries, we can conclude that millet-based agriculture was a consistency and dominated subsistence economy in central-south, Inner Mongolia, which also provided a solid material foundation for the central plains government to control the eastern Ordos Plateau during the late Warring States Period.

Uncementing the status quo: systematic review of a loose-fit, polished stem radial head prosthesis shows stable clinical results in complex elbow injuries with a concomitant radial head fracture.

Selecting the optimal radial head prosthesis to treat radial head fractures, especially in the context of complex elbow injuries like terrible triad, Monteggia, and Essex Lopresti, can be challenging, as there is currently no consensus in the field that favors a particular design. This study investigated the safety and performance of a Polished Stem Radial Head Prosthesis (PS RHP) compared to other modern RHP designs. A systematic review was conducted according to PRISMA guidelines to capture data on a Polished Stem Radial Head Prosthesis (PS RHP) and other Radial Head Prostheses (RHPs). Functional scores, range of motion, complications, and revisions were extracted from published literature and analyzed in parallel with the percentage of complex injuries. Comparison of functional outcomes between groups were based on minimum clinically important differences (MCIDs). There were 16 articles reporting on 711 cases of the PS RHP and 23 articles reporting on 605 cases of other RHPs included in the systematic literature review. Functional scores and range of motion were similar amongst the groups. The PS RHP design achieved a comparable revision rate as other RHPs despite a higher number of terrible triad injuries. Notably, the PS RHP group showed a significantly lower rate of instability (1.0%) than other RHPs (3.4%) (p < 0.05). Other complication rates were similar amongst the two groups. The PS RHP group had higher rates of terrible triads at baseline compared to the other RHPs group. Regardless of greater injury complexity, the clinical outcomes of the PS RHP group were favorable and resulted in a significantly lower rate of postoperative instability as compared to other RHPs.

Long-term efficacy and survival of ustekinumab therapy in patients with inflammatory bowel disease

The article reviews data on the long-term effectiveness and survival of biological therapies for treating inflammatory bowel diseases, such as ulcerative colitis and Crohn’s disease. It highlights the shift in treatment goals, emphasizing not only induction and maintenance of remission but also long-term outcomes. The choice of therapy is becoming increasingly complex, as it must consider both clinical efficacy and endoscopic remission, which, serves as a predictor of long-term treatment effectiveness. Special attention is given to ustekinumab – antibodies targeting interleukins 12 and 23. This drug has shown high long-term effectiveness and safety in treating ulcerative colitis and Crohn’s disease. Studies indicate that ustekinumab effectively maintains clinical remission in patients, providing stable results and a low rate of serious adverse events. Long-term data also highlight its advantages over other biological agents, such as infliximab and adalimumab, in terms of therapy sustainability. The article includes data from clinical trials of ustekinumab extending up to 5 years, demonstrating good treatment sustainability, as well as various real-world practice studies confirming the prolonged effectiveness of ustekinumab in patients with ulcerative colitis and Crohn’s disease. The article evaluates and analyzes these data on long-term effectiveness and drug survival and also emphasizes the importance of an individualized approach in selecting therapy, taking into account prior treatment experience and inflammation activity.

Implementation of Smart Farm Systems Based on Fog Computing in Artificial Intelligence of Things Environments.

Cloud computing has recently gained widespread attention owing to its use in applications involving the Internet of Things (IoT). However, the transmission of massive volumes of data to a cloud server often results in overhead. Fog computing has emerged as a viable solution to address this issue. This study implements an Artificial Intelligence of Things (AIoT) system based on fog computing on a smart farm. Three experiments are conducted to evaluate the performance of the AIoT system. First, network traffic volumes between systems employing and not employing fog computing are compared. Second, the performance of the communication protocols-hypertext transport protocol (HTTP), message queuing telemetry transport protocol (MQTT), and constrained application protocol (CoAP)-commonly used in IoT applications is assessed. Finally, a convolutional neural network-based algorithm is introduced to determine the maturity level of coffee tree images. Experimental data are collected over ten days from a coffee tree farm in the Republic of Korea. Notably, the fog computing system demonstrates a 26% reduction in the cumulative data volume compared with a non-fog system. MQTT exhibits stable results in terms of the data volume and loss rate. Additionally, the maturity level determination algorithm performed on coffee fruits provides reliable results.

Влияние концентрации и рецептуры макросолей в питательной среде на показатели регенерации меристем, на этапе ввода в культуру in vitro, у некоторых аборигенных донских сортов винограда

Abstract. Rare indigenous grape varieties are of significant value for viticulture, breeding and preservation of genetic material. Often, ancient grape varieties, due to prolonged vegetative propagation, are infected with one or more chronic diseases (viruses, phytoplasmas, bacterial cancer). The most reliable way to improve the health of such plants is the method of apical meristems in in vitro culture. In which, on artificial nutrient medium, it is necessary to regenerate the plant from isolated extremely small apical explants (about 50-100 microns). One of the most important components of nutrient medium are macroelements. Not only their quantity is of great importance, but also the compounds they represent, as well as the balance and ratio of all elements in the nutrient medium. In this regard, the purpose of our study was to study the characteristics of mineral nutrition of grape plants of native Don varieties in in vitro culture. To do this, we studied the effectiveness of the most commonly used nutrient media in microclonal propagation. The experiments were carried out on four rare native Don varieties Plechistik oboepolyi, Bessergenevskiy №10, Musketnyi and Durman. Protocols used: Murashige and Skuug (MS), McCown Wood Plant (WPM), Chee and Pool (C2D), Quoirin &amp; lepoivre (QL) and Anton Rebrov (AR1). The nutrient media differed only in the composition of macrosalts; all other components were added in equal quantities. The varietal response of the studied varieties was different. The Plechistik oboepolyi and Bessergenevskiy №10varieties regenerated best, and the Musketnyi and Durman varieties regenerated more poorly. It has been established that the composition of macroelements significantly affects the regeneration and differentiation of shoots in apical meristems. For most varieties, the most stable results were observed when using WPM and AR1 nutrient media. The worst development of explants in all varieties in the study occurred on MS and C2D media. Key words: apical meristem, introduction into in vitro culture, regeneration of explants, recipes for nutrient media, concentration of macronutrients, native Don varieties

Research on Improved Image Segmentation Algorithm Based on GrabCut

The classic interactive image segmentation algorithm GrabCut achieves segmentation through iterative optimization. However, GrabCut requires multiple iterations, resulting in slower performance. Moreover, relying solely on a rectangular bounding box can sometimes lead to inaccuracies, especially when dealing with complex shapes or intricate object boundaries. To address these issues in GrabCut, an improvement is introduced by incorporating appearance overlap terms to optimize segmentation energy function, thereby achieving optimal segmentation results in a single iteration. This enhancement significantly reduces computational costs while improving the overall segmentation speed without compromising accuracy. Additionally, users can directly provide seed points on the image to more accurately indicate foreground and background regions, rather than relying solely on a bounding box. This interactive approach not only enhances the algorithm’s ability to accurately segment complex objects but also simplifies the user experience. We evaluate the experimental results through qualitative and quantitative analysis. In qualitative analysis, improvements in segmentation accuracy are visibly demonstrated through segmented images and residual segmentation results. In quantitative analysis, the improved algorithm outperforms GrabCut and min_cut algorithms in processing speed. When dealing with scenes where complex objects or foreground objects are very similar to the background, the improved algorithm will display more stable segmentation results.

The influence of renewable energy and financial development on testing the environmental Kuznets curve in Lebanon: ARDL approach

This study considers the impacts of financial development and the consumption of renewable energy in Lebanon for the period 1990–2021, employing the Environmental Kuznets Curve. The financial sector in Lebanon is considered a major engine in the economic development. Green energy sources and environmental protection are taking higher importance nowadays with the increase of implications for climate change and global warming worldwide. This paper examines the Environmental Kuznets Curve’s presence and implications for Lebanon’s financial development and renewable energy consumption. The econometric model used annual data from the World Development Indicators. Utilizing the autoregressive distributed lag (ARDL) technique, both near- and long-term relationships were estimated. The findings support the Environmental Kuznets Curve hypothesis and show that energy consumption and real income have a statistically significant beneficial effect on carbon emissions and that their square has a statistically significant negative impact on carbon emissions over the long and short term. The results show variations in signs for financial development between the short and long term and stable results for renewable energy with negative signs in both terms. These results show the importance of further research on the influence of financial development and green energy consumption on EKC. Therefore, policymakers need to pay more attention to these variables for a sustainable economy that is facing the effects of climate change.

Long-Term Outcomes of Transarterial Chemoembolization of Giant Liver Hemangiomas with Lipiodol-Bleomycin Emulsion.

To evaluate the safety, efficacy, and long-term outcomes of transarterial chemoembolization (TACE) with bleomycin-Lipiodol for giant liver hemangiomas. Single-center retrospective study from 1998 to January 2020, including patients with giant liver hemangiomas treated with bleomycin-Lipiodol TACE and followed up >36months. The exclusion criteria were defined as patients who had been treated but had no available follow-up above 3years and patients who had previously been treated with any other treatment method. Clinical success was defined as the disappearance of symptoms and radiological success (responded vs. non-responded groups) as a more than 50% decrease in the volume of the giant hemangioma in follow-up CT or MRI compared to the baseline images. A total of 121 patients were included. The mean maximum diameter of the hemangiomas decreased from 122 (range: 40-300) to 73mm (range: 15-240), and the mean volume reduced from 984.4 (range: 30-7312) to 286.6cm3 (range: 1-3835). There were 106 patients in the responded group, while only 15 patients were in the non-responded group. No significant difference was found in size and volume change percentages across these two groups based on gender, age, lesion size, lesion volume, lesion number, and second TACE. When the follow-up period was stratified in 5-year periods, the maximum volume decrease was observed in the first 5-year period and then remained constant up to > 15years. TACE with bleomycin-Lipiodol is safe, reducing the size and volume of giant liver hemangiomas with stable results in the long-term follow-up.

K-means-ten clustering algorithm based on min-max criterion and region division

Aiming at the problem of unstable clustering results and low solution accuracy of -means- + algorithm, an I--means-+ clustering algorithm based on min-max criterion and region division is proposed. Firstly, the min-max criterion is proposed to calculate the distance from each data point to the nearest center, and the data point with the largest distance is preferentially selected as the new cluster center to avoid the situation where multiple initial centers are clustered in the same cluster; secondly, the data points in the split cluster are divided into different regions, and a data point is selected in each region as the candidate center to increase the diversity of the candidate centers; finally, for the clusters that fail to pair, the new split cluster is reselected by gain to pair with the original deleted cluster again to improve the pairing success rate and further reduce the objective function value. Experimental results show that compared with the I means-+ algorithm, the proposed algorithm has an average improvement in solution accuracy −k −and a more stable clustering result kunder the premise of basically equivalent operation efficiency compared with 6.47%-means and kmeans+ algorithms, the proposed algorithm has higher solution accuracy.

Pathology Report Interpretation and Disease Diagnosis Using Fuzzy Logic Embedded in an Artificial Intelligence Framework: A New Paradigm for Digital Technologies.

Introduction Accurate diagnosis is essential for effective treatment in healthcare settings. Digital technologies have revolutionized medical diagnostics, particularly in pathology laboratory report analyses, by enhancing speed, quality, and precision. Diagnostic pathology has advanced significantly with digital imaging, AI algorithms, and computer-assisted techniques. Traditional machine learning methods require extensive training data, struggle with decision-making flexibility, and lack interpretability when handling new data. Methods This paper introduces a novel approach to address these challenges: a fuzzy logic-based system for interpreting pathology laboratory reports and diagnosing diseases, while considering the restrictions of engineered interpretations so that the degree of reliability of the output of the system is at par with human perception. Results The analysis highlights the impressive accuracy of the fuzzy logic-based diagnosis system, which is closely aligned with professional diagnoses. Notably, it correctly identified "normal" with an 83% probability, showcasing its potential for early disease detection. Performance evaluations indicated that the precision, recall, and F-measure significantly improved as the number of probable diagnoses considered increased. Furthermore, the system exhibited enhanced predictive accuracy for disease recurrence when incorporating multiple probable diagnoses, underscoring its robust clinical effectiveness. Conclusion A fuzzy logic-based system within an AI framework for interpreting pathology laboratory reports and diagnosing 17 diseases across various demographics is presented. The performance of the algorithm, assessed using specialized classification metrics, showed stable and satisfactory results. The analysis revealed a direct correlation between the number of probable diagnoses considered and improved diagnostic accuracy with enhancements in precision, recall, and F-measure. Broadening the diagnostic scope optimizes immediate patient care and long-term treatment planning, potentially enhancing patient outcomes and healthcare quality.

3D Printing Materials Mimicking Human Tissues after Uptake of Iodinated Contrast Agents for Anthropomorphic Radiology Phantoms.

(1) Background: 3D printable materials with accurately defined iodine content enable the development and production of radiological phantoms that simulate human tissues, including lesions after contrast administration in medical imaging with X-rays. These phantoms provide accurate, stable and reproducible models with defined iodine concentrations, and 3D printing allows maximum flexibility and minimal development and production time, allowing the simulation of anatomically correct anthropomorphic replication of lesions and the production of calibration and QA standards in a typical medical research facility. (2) Methods: Standard printing resins were doped with an iodine contrast agent and printed using a consumer 3D printer, both (resins and printer) available from major online marketplaces, to produce printed specimens with iodine contents ranging from 0 to 3.0% by weight, equivalent to 0 to 3.85% elemental iodine per volume, covering the typical levels found in patients. The printed samples were scanned in a micro-CT scanner to measure the properties of the materials in the range of the iodine concentrations used. (3) Results: Both mass density and attenuation show a linear dependence on iodine concentration (R2 = 1.00), allowing highly accurate, stable, and predictable results. (4) Conclusions: Standard 3D printing resins can be doped with liquids, avoiding the problem of sedimentation, resulting in perfectly homogeneous prints with accurate dopant content. Iodine contrast agents are perfectly suited to dope resins with appropriate iodine concentrations to radiologically mimic tissues after iodine uptake. In combination with computer-aided design, this can be used to produce printed objects with precisely defined iodine concentrations in the range of up to a few percent of elemental iodine, with high precision and anthropomorphic shapes. Applications include radiographic phantoms for detectability studies and calibration standards in projective X-ray imaging modalities, such as contrast-enhanced dual energy mammography (abbreviated CEDEM, CEDM, TICEM, or CESM depending on the equipment manufacturer), and 3-dimensional modalities like CT, including spectral and dual energy CT (DECT), and breast tomosynthesis.

Tropical cyclone landfalls in the Northwest Pacific under global warming

AbstractThis study projects the changes in tropical cyclone (TC) landfalls in the western North Pacific under shared socioeconomic pathway (SSPs) scenarios during the TC peak season by using low‐resolution global climate models participating in the Coupled Model Intercomparison Project phase 6 (CMIP6). Projections are based on the relationship between mid‐ and lower‐level atmospheric circulation and TC landfall frequency during the historical period from 1985 to 2014 and the future climate period from 2015 to 2100. The landfall areas for TCs are divided into northern East Asia (NEA), middle East Asia (MEA) and southern East Asia (SEA); the TC peak seasons are July–September for NEA and MEA, and July–November for SEA. To evaluate reproducibility, both ensemble and individual model outputs for mid‐ and lower‐level atmospheric circulations associated with TC landfall in each East Asian subregion are compared to the reanalysis. An ensemble of seven models with stable results for all three regions is more reasonable in simulating atmospheric circulation patterns than an ensemble of all CMIP6 models. The findings suggest that TC landfall is projected to increase by about 12% and 32% in NEA and MEA, respectively, in the late 21st century under the SSP5‐8.5 scenario compared to the historical period, while decreasing by 13% in SEA. These changes are consistent under both warming scenarios, and are more pronounced in the SSP5‐8.5 scenario compared to SSP1‐2.6, particularly in the later period of this century. An analysis of future atmospheric circulations suggests that global warming will weaken the western North Pacific subtropical high and cause its boundary to retreat eastward. This will lead to changes in the steering flow, which is closely related to TC tracks, resulting in TC landfalls to increase or decrease depending on the East Asian subregion.

Spring-Assisted Cranioplasty in Unicoronal Synostosis: Analysis of Outcomes

Background: Spring-assisted cranioplasty and successful long-term outcomes for sagittal synostosis has been well described in recent literature. However, there is a paucity of data regarding the application of springs to unicoronal synostosis. Unicoronal synostosis (UCS) presents unique challenges in its causation of skull base scoliosis and orbital asymmetry. Many surgeons feel that the fronto-orbital advancement and vault remodeling is the most effective and reliable strategy to counteract these changes. Here we present our experience and outcomes with spring cranioplasty for unicoronal synostosis. Materials and methods: A retrospective review of non-syndromic unicoronal synostosis patients undergoing spring-assisted cranioplasty was performed. Preoperative and postoperative intracranial volume (ICV), orbital volume (OV), orbital height (OH), orbital width (OW), midface twist (MFT), and skull-base twist (SBT) were measured from DICOM CT data. Analysis was performed with Materialize software (Leuven, Belgium). Paired t-tests were performed using Excel. Results: Ten patients (5 females, 5 males) had springs placed at 100.1 days (avg). Average ICV: preop: 608.2 ± 101.4 cc, postop: 995.2 ± 166.1 cc. Differences in orbital volume and height in the preop affected orbit versus non-affected orbit was significant ( P = .01, P ≤ .001 respectively) whereas no significant difference between the two sides postoperatively was observed ( P = .19, P = .58 respectively). Average preop MFT was 81.1 ± 2° and postop was 87.6 ± 2.6° and preop SBT was 171.9 ± 2.7° and postop was 177.6 ± 2.6°; both showing significant improvement after spring cranioplasty (both P ≤ .001). Conclusion: Our experience and early outcomes with spring cranioplasty for UCS demonstrates that when used in younger patients (&lt;5 months) cranial springs can be a safe and effective strategy to minimize skull base scoliosis, facial scoliosis, and orbital asymmetry, as well as increase intracranial volume. Although long-term data needs to be assessed, we are optimistic that early correction of cranial base scoliosis will translate to stable results as patients reach dentoskeletal maturity.

Corneal stromal lenticule transplantation for the treatment of congenital optic disc pit maculopathy : a case report and review

BackgroundCongenital optic disc pit (ODP) is a relatively uncommon congenital anomaly of the optic disc, which seriously affects the patient’s vision when combined with optic disc pit maculopathy(ODP-M). Currently, the treatment of ODP-M remains a clinical challenge and a focus of research.Case presentationA boy had a pit in the inferotemporal segment of the optic disc with ODP-M. Optical Coherence Tomography(OCT) showed ODP and serous retinal detachment. He was treated with pars plana vitrectomy(PPV), followed by Corneal Stromal Lenticule (CSL) sealing and C3F8 tamponade. In the end, significant anatomical improvement was achieved, and the Best Corrected Visual Acuity(BCVA) was improved.ConclusionsThe CSL transplantation may be a viable therapeutic option for improving ODP-M with stable anatomical and functional result. However, more cases and longer follow-up are needed to confirm the safety and effectiveness of the technology.

Bio-derived gel polymer electrolytes from zein and honey blends integrated with ammonium nitrate for electrical double layer capacitors

Although electrical double layer capacitors (EDLCs) are known to exhibit impressive power density, rapid charging/discharging, and long cycle life, their energy density remains a hurdle for broader use. Gel polymer electrolytes (GPEs) offer an interesting approach to improve the energy density of EDLCs while maintaining their other desirable characteristics. This study investigates the development of novel GPEs based on zein, honey, and ammonium nitrate (NH4NO3) for EDLC applications. The GPEs are prepared by incorporating zein, honey, and NH4NO3 in a dimethyl sulfoxide (DMSO) solvent system through a solution casting method. The degree of crystallinity of zein successfully reduced from 33.0 % to 15.71 % with the addition of 20 wt% NH4NO3. The interaction between zein, honey and NH4NO3 is confirmed by observing the shifting of the hydroxyl band. The ambient ionic conductivity of zein-honey increases from (4.86 ± 0.36) × 10−4 S cm−1 to (4.19 ± 0.40) × 10−3 S cm−1 with the incorporation of 20 wt% NH4NO3 (ZH20), exhibiting the significantly lowest Tg value (77.53 °C). Linear sweep voltammetry (LSV) demonstrates high electrochemical stability up to 2.6 V of ZH20. Additionally, the transference number (tion) of 0.989 indicates a dominant role of ionic charge carriers in this work. Finally, the ZH20-based GPE is used as both an electrolyte and separator to fabricate EDLC. Its electrochemical behavior has demonstrated stable results in terms of specific capacitance, energy, and power density, with fast rate performance observed through cyclic voltammetry and galvanostatic charge-discharge techniques.

Copper concentration in the vineyard and forest topsoils. A comparative study with individual pollution indices

The study objectives were to evaluate the soil pollution with Copper (Cu) for different land uses, namely the cultivated and abandoned vineyards, the stripped soil from the abandoned vineyard, and the topsoil under forest vegetation, using individual pollution indices. Soil samples were systematically collected from the A horizon in both cultivated and abandoned vineyards, and from the local forest, and from three soil profiles. To assess the soil quality, the Enrichment Factor (EF), Geoaccumulation Index (Igeo), and Pollution Index (PI) were calculated based on values obtained from soil sample analysis and various thresholds or guideline values. The individual pollution indices reveal the following sequence for Cu concentration: stripped soil in the abandoned vineyard > soil in the abandoned vineyard > soil in the cultivated vineyard > soil in the forest. When using Romanian or Finnish standards, the PI shows more variability than EF and Igeo indices, leading to different soil contamination classifications. Indices based on conservative elements and local geochemical background provide more stable results, especially for cultivated soils. The volume of treatments applied can explain the higher concentration of Cu in the abandoned vineyard compared to the cultivated one (ampelographic collection). The Specific Pollution Index provides a two-dimensional assessment of pollution through the difference in Cu concentration in the upper part of the soil in two ecosystems (viticulture and forestry), adjusted to the content of the same element in the local geochemical background.

Multidisciplinary Consideration for Managing Gingival Black Triangles in Aesthetic Dentistry: A Review

The importance of aesthetics in modern dentistry is paramount. Aesthetics has its different values and perceptions, which may be different from the eyes of the patient and those of the clinician [1]. It is dependent on the socio-economic status and the upbringing and mentality of each individual person. Open gingival embrasures or black triangle cause complex functional and aesthetic problems. Management of such problems requires careful evaluation of the underlying causes. In today’s aesthetic environment where both the dentist and the patient are aware of aesthetic value, the real challenge was to reconstruct this lost papilla and moreover to obtain stable and sustainable results. asure area, root angulations, interproximal contact position, triangular-shaped crowns and aging. Treatment of black triangles often requires an interdisciplinary approach, involving of periodontal; orthodontic and restorative treatment. In this review, the authors highlighted the important etiological factors that predispose to the occurrence of the black triangles. In addition to the common biological factors, dimensional changes of papilla during orthodontic alignment, the relevant consequences of periodontal disease treatment and iatrogenic treatment mishaps such as poor veneers and crowns are factors have also been discussed as factors that may lead to black triangles.

Multi-Objective Optimization based decision-making process using Dombi Logarithmic aggregation operator in CNN environment and its application to optimally select suitable greenhouse site for tomato crops

In this research article, we have defined Dombi Logarithmic aggregation operational laws in the framework of Cylindrical Neutrosophic Numbers (CNN) and utilized these laws to establish a new aggregation operator namely Cylindrical Neutrosophic Dombi Weighted Logarithmic Aggregation Operator(C N DW L A ). The said aggregation operational laws &amp; aggregation operator have been used to present a new and novel decision making process where Full Consistency Method (FUCOM) and Multi-Objective Optimization(MOO) have been inte- grated and embedded fruitfully. Here the objective functions were formulated using the concept of a single-layer neural network and the FUCOM method to assess criterion weights. We have resolved the most favorable Pareto optimal solution derived from Multi-Objective Optimization by employing simulation and the Technique for Or- der of Preference by Similarity to Ideal Solution (TOPSIS) approach. Finally, we have applied our proposed decision making method along with MARCOS and MOORA techniques to determine the best greenhouse site for cultivating tomato crops. An exhaustive sensitivity and comparative analysis has been conducted to assess the robustness and stability of our Multi Criteria Group Decision Making (MCGDM) techniques. It is observed that our proposed method has some advantages in cylindrical neutrosophic environment and it produces stable robust results with the variation of underlying model parameters.