Honest Significant Difference Test Research Articles

Evaluation of the accuracy (trueness, precision) and processing time of different 3-dimensional CAD software programs and algorithms for virtual cast alignment.

This in vitro study aimed to evaluate the impact of different alignment algorithms and CAD software programs on alignment accuracy (trueness and precision) and processing time. A mandibular typodont was digitized using a laboratory scanner (L2i) to obtain a reference STL (STLr) file. It was then scanned with an intraoral scanner (Primescan) and digitally duplicated ten times (n=10). Each scan was aligned with the STLr using 42 combinations of 3D CAD software and alignment algorithms. The tested software programs included Blender for Dental, BlueSkyPlan, Dental CAD App (Exocad), Medit Design, NemoSmile, and Meshmixer. Alignment accuracy (trueness and precision) and processing time were recorded using Python software (v3.8). Statistical analysis was performed with a two-way ANOVA test (α = .01) to identify overall differences, followed by a post hoc Tukey Honestly Significant Difference test (α = .05) to establish rankings. Significant differences in alignment accuracy were observed based on the software and algorithm used, affecting both trueness (p<.01) and precision (p<.01). Processing time also varied significantly (p<.01). Post hoc analysis identified the optimal algorithm for each software, revealing variations in trueness, precision, and processing time among the optimal versions. Medit Design achieved the best overall performance by combining high accuracy with the fastest processing time, while Meshmixer exhibited the lowest accuracy due to its lack of advanced algorithms. The choice of CAD software and alignment algorithm significantly influences alignment accuracy and efficiency. Best-fit and section-based provided the best results, offering valuable insights into the optimization of digital workflows in prosthodontics. Alignment protocols must be tailored to the specific CAD software program used, as no universal protocol was effective across all tested software. Optimizing alignment protocols reduces errors, enhances prosthodontic outcomes, and improves the reliability and efficiency of clinical and laboratory workflows, ultimately ensuring better patient care and treatment success.

Effectiveness of RESET care program: A real-world-evidence on managing non-alcoholic fatty liver disease through digital health interventions.

Non-alcoholic fatty liver disease (NAFLD) management requires sustainable lifestyle modifications. This study aimed to evaluate the effectiveness of the RESET care plan, a comprehensive program that is an integrated personalized diet, exercise, and cognitive behavior therapy, delivered via MyTatva's digital health application enabled through a body composition analyzer (BCA) and smartwatch. To evaluates the effectiveness of the comprehensive program delivered via MyTatva's digital health app enabled through internet of thing devices. This retrospective observational study analyzed deidentified data from 22 participants enrolled in the MyTatva RESET care program. Participants were divided into three groups: Group A, diet plan; Group B, diet + exercise plan; and Group C, diet + exercise + cognitive behavioral therapy plan. Participants were provided with a BCA and smartwatch for continuous monitoring of anthropometric parameters. Statistical analysis, including one-way ANOVA and post-hoc Tukey's Honest Significant Difference test, was conducted to compare mean changes in anthropometric parameters across the groups. All intervention groups showed significant improvement across all anthropometric parameters. Group C showed the most significant improvements, with mean weight reduction of 7% or more (6.99 ± 2.98 kg, 7.00% ± 3.39%; P = 0.002) from baseline, a benchmark associated with improved NAFLD conditions. Post-hoc analysis revealed that Group C had significantly greater improvements than Groups A and B. Weight reduction was observed in 85.7% of Group A participants, 77.8% of Group B participants, and 100% of Group C participants. The comprehensive RESET care plan achieved a 7% weight reduction in 12 weeks, demonstrating its effectiveness in managing NAFLD. These results support adopting digitally supported, patient-centric approaches for NAFLD treatment.

Optimizing Oil Palm Seedling Growth (Elaeis guineensis Jacq.) in the main nursery using NPK fertilizer and Mycorrhizal Biofertilizer

Oil palm (Elaeis guineensis Jacq.) is a valuable plantation commodity with promising development prospects. This research investigated the interaction between NPK fertilizer application and mycorrhizal biofertilizer on the growth of oil palm seedlings in the main nursery on Ultisol soil. The study was conducted using a factorial Completely Randomized Design (CRD). The first factor was NPK fertilizer 16:16:16 (P) with three levels: P1 = 33 g per plant, P2 = 40 g per plant, and P3 = 47 g per plant. The second factor was Mycorrhizal biofertilizer (M) with three levels: M0 = Control, M1 = 20 g per plant, and M2 = 40 g per plant. The parameters measured included plant height, corm diameter, leaf area, root volume, dry weight of seedlings, and percentage of roots infected with mycorrhiza. Statistical analysis was performed using variance analysis and an honest significant difference test at the 5% level using the SAS application. The results indicated that applying NPK fertilizer at a dose of 40 g per plant significantly increased plant height, corm diameter, leaf area, root volume, and dry weight of seedlings. Urea fertilizer at a dose of 3 g per plant also positively influenced plant height, corm diameter, leaf area, and dry weight of seedlings. Mycorrhizal biofertilizer at a dose of 20 g per plant resulted in increased plant height, corm diameter, leaf area, root volume, dry weight of seedlings, and percentage of roots infected with mycorrhiza. The combination of NPK fertilizer at a dose of 40 g and mycorrhizal biofertilizer at a dose of 20 g per plant showed significant improvements in plant height, corm diameter, leaf area, root volume, dry weight of seedlings, and percentage of roots infected with mycorrhiza.

Effects of rapid infrared radiation heating on the warping deformation and mechanical properties of selective laser melted Co-Cr dental alloy.

Infrared radiation heating (IRH) technology has been innovatively applied to the annealing of selective laser melted (SLM) cobalt chromium (Co-Cr) frameworks. However, previous studies have not reported the effects of IRH on the warping deformation and mechanical properties of these frameworks. The purpose of this in vitro study was to investigate the effects of IRH on the warping deformation and mechanical properties of dental SLM Co-Cr alloy and to evaluate its potential applications in dental restorations. Two types of specimens, bone-shaped tensile specimens and warping deformation specimens (cantilever beam structures), were fabricated by SLM, followed by annealing using IRH and general furnace heating (GFH). The specimens were divided into 4 groups (n=6) based on the applied heat treatment method and build direction (IRH-XY; IRH-Z; GFH-XY; GFH-Z). The cantilever beam support structure of the warping deformation specimen was cut using wire cutting, and the warping deformation was measured using a digital image correlation optical extensometer. Tensile tests were used to evaluate mechanical properties, with the fracture characteristics being observed using a scanning electron microscope (SEM). A micro-Vickers hardness tester was used to measure the microhardness. The microstructures were analyzed using a metallographic microscope. All data were analyzed using a 1-way ANOVA and the Tukey Honestly Significant Difference test (α=.05). The surfaces of the SLM Co-Cr warping deformation specimens treated with IRH showed slight oxidation, while those treated with GFH exhibited a dark black appearance. No significant difference was found in deformation between the IRH group (0.412 ±0.039 mm) and the GFH group (0.379 ±0.070 mm) (P>.05). The elongation of the longitudinally built specimens was significantly higher than that of their transversely built counterparts (P<.05), while the yield strength showed an opposite trend. The longitudinally built specimens demonstrated ductile fracture characteristics, while the transversely built specimens displayed quasi-cleavage fractures. The specimens treated with IRH exhibited comparable tensile strength and microhardness with the GFH-treated specimens, with no statistically significant differences (P>.05). IRH treatment resulted in finer grains in the SLM Co-Cr alloy. Many fine second-phase particles precipitated from the matrix in the longitudinally built specimens, while few were observed in the transversely built specimens. The SLM Co-Cr specimens treated with IRH achieved comparable warping deformation and mechanical properties with those of the GFH-treated specimens. The IRH technology holds great potential for application to dental restorations.

Study on Discharge Dynamics and Droplet Characteristics of Various Nozzle Types for Pesticide Application

This research is aimed at reducing the environmental impact and increasing the efficiency of pesticide application by examining the effects of nozzle type and operating pressure on spray characteristics and discharge rate. Prevalent challenges of applying pesticides had been the subject of prior studies, but the relationships between nozzle types [flat fan, hollow cone, and flower (8-hole)] and operating pressures (2, 3 and 4 kg cm-2) were not widely recognized for greenhouses. This research gap necessitated an experimental approach, measuring spray deposition and discharge rate across three nozzles using a Malvern Spraytec droplet analyzer and spray patternator. Specific surface area (SSA), volume mean diameter [D(4,3)], Sauter mean diameter [D(3,2)], droplet size distribution (Dv10, Dv50, and Dv90), span were characterized and measured. Data were analyzed using analysis of variance (ANOVA) and Tukey's Honest Significant Difference (HSD) tests to determine significant difference between factors for nozzle selection. The results showed that increasing working pressure of flat fan nozzle from 2 to 4 kg cm-2 led to smaller droplets sizes, with Dv10, Dv50 and Dv90 decreasing from 85.61 to 66.41 µm, 165.33 to 142.80 µm, and 424.83 to 376.16 µm, respectively. Increase in SSA correspondingly from 0.387 to 0.524 m² cc-1, indicates more surface area available per unit volume of pesticides. It was found that with increase in discharge rate from 1045.69 to 1360.01 mL min-1, there was a significant increase in pesticide volume delivered. These findings provide important information for enhancing pesticide application procedures by highlighting the significance of carefully choosing operating pressures and nozzle types to establish a balance between spray efficacy and environmental considerations.

The Optimization of Biosilica and Humic Acid to Increase Soil Nutrient Availability and Nutrient Uptake in Rice Plant in Sandy Soil

Nutrients in sandy soil are limited due to low absorption capacity and are easily leached or evaporated. Biosilica and humic acid extracted from compost and husk ash can improve the soil structure and absorption capacity to optimize the availability and uptake of nutrients. Therefore, this research aims to examine the optimal application dose of biosilica and humic acid to improve the chemical properties of soil with a sandy texture. The experiment was structured based on a completely randomized design (CRD). Factor 1 consisted of biosilica doses of 0, 0.5, 1.0, and 1.5 tons ha&lt;sup&gt;-1&lt;/sup&gt;, while factor 2 comprised humic acid doses of 0, 20, 40, and 60 kg ha&lt;sup&gt;-1&lt;/sup&gt;. Data analysis was performed using ANOVA, followed by Tukey’s Honest Significant Difference (HSD) test, correlation, and determination analysis. The study results indicate that the combination of biosilica and humic acid contributes to the changes in nutrient availability. The impact of the treatment was observed 90 days after application on the parameters of soil pH, organic C, total N, and exchangeable K. The effects of the treatment were also evident in plant nutrient uptake, specifically in total N in the roots and total K in the stems. The optimal combination for improving soil nutrient availability and nutrient uptake in plant tissues was a biosilica dose of 1.0 tons ha&lt;sup&gt;-1&lt;/sup&gt; (S2) and humic acid at 40 kg ha&lt;sup&gt;-1&lt;/sup&gt; (H2).

Comparative Evaluation of Sealing Ability, Bond Strength, and Antimicrobial Properties of Endodontic Sealers: An In Vitro Study

ABSTRACT Objective: To compare the sealing ability, bond strength, and antimicrobial properties of BioRoot root canal sealer (RCS), TotalFill Bioceramic (BC), EndoSeal Mineral Trioxide Aggregate (MTA), and AH Plus in endodontic therapy. Methods: Eighty single-rooted human teeth were divided into four groups (n = 20). Sealing ability was assessed via dye penetration, bond strength with push-out tests, and antimicrobial properties using agar diffusion tests against Enterococcus faecalis. Statistical analysis involved one-way ANOVA and Tukey’s Honestly Significant Difference (HSD) tests (P &lt; 0.05). Results: BioRoot RCS showed the best sealing ability, highest bond strength, and largest antimicrobial zone. AH Plus had the poorest performance. Conclusion: BioRoot RCS is a superior endodontic sealer.

Comparative Evaluation of Marginal Gap and Flexural Strength of CAD/CAM Milled, 3D Printed and Conventional Chairside Interim 3-unit Fixed Dental Prosthesis: An In-vitro Study

Introduction: Interim prosthesis play an important role in maintaining integrity of abutment tooth till final prosthesis is fabricated. Thus, using different fabrication techniques which can affect the mechanical properties of material can be useful to determine longevity of prosthesis. Aim: To evaluate the marginal gap and Flexural Strength (FS) of Computer-aided Designing/Computer-aided Milling (CAD/CAM) milled, 3D printed and conventional chairside interim 3-unit Fixed Dental Prosthesis (FDP). Materials and Methods: The present in-vitro study conducted in the Department of Prosthodontics, Bharati Vidyapeeth Dental College and Hospital, Sangli, Maharashtra, India, for duration of one year and six months between May 2022 to November 2023, 45 dies were fabricated by 3D printing technique. A total of 45 3-unit fixed dental prosthesis were fabricated over these dies by various techniques i.e., CAD/CAM Milled, 3D Printed and Conventional i.e., 15 sample per group I and J. All samples were cemented on dies under 20 N force and were evaluated for marginal gap with stereomicroscope under 40X magnification and assessed in millimetre (mm). Mean of marginal gap at premolar and molar for each sample was evaluated. Thermocycling was carried out for 5,000 cycles in distilled water (5oC and 55oC) in a digitally controlled water-bath chamber. Universal testing machine was used to evaluate FS using “three-point bend test”. One-way ANOVA and Post-hoc Tukey’s Honest Significant Difference (HSD) test were used for statistical analysis. Results: On evaluation of marginal gap, a significant difference was noted between the three groups with p-value=0.0006 with 3D printed group showing the most marginal gap. On evaluation of FS, a significant difference was noted between the three groups with p-value=0.0001. On pair-wise comparison, highly statistically significant difference was seen between all groups where CAD/CAM Milled showed greater FS followed by conventional and 3D printed. Conclusion: The CAD/CAM Milled showed better marginal adaptation and greater FS followed by conventional and 3D printed group.

Characteristics of Millet Flour Fermented with Bimo CF at Different Fermentation Periods

Millet is a cereal with high nutritional content and has the potential to be a substitute for wheat. This research aimed to determine the characteristics of millet flour fermented by Bimo CF at different fermentation times. This research was conducted using a completely randomized design with one factor (fermentation time). It consisted of P1 (0 hours), P2 (12 hours), P3 (24 hours), P4 (36 hours), and P5 (48 hours). The resulting product of each treatment's water content, ash content, crude protein content, lightness, and yield were analyzed as tested parameters. Observation data were analyzed using ANOVA and further tested using Honest Significant Difference Test at a significance level of 5%. The result showed that fermentation period treatment using Bimo CF starter had a significantly different effect on water, ash, crude protein content, lightness, and yield. The 12-hour fermentation treatment is the recommended treatment to produce fermented millet flour, with a water content of 2.78%, ash content of 2.41%, crude protein content of 7.41%, lightness of 73.11, and yield of 45.5%.

Effect of TESOTA Composite Flour Composition (Wheat, Sorgum, Tapioca) and Carrageenan Concentration on The Quality of Low-Gluten Bread

This study aimed to determine the effect of composite flour composition (wheat, sorghum, and tapioca) and carrageenan concentration on the quality of low-gluten white bread. This study used an experimental method with a two-factor completely randomized design (CRD), namely (1) composite flour composition (wheat:sorghum:tapioca) T1 = 50:25:25, T2 = 40:30:30, and T3 = 30:35:35, and (2) carrageenan concentration of 0.2 and 0.4%. Observation data were analyzed with SPSS software using ANOVA at the 5% significance level. Data that were significantly different were further tested with Honest Significant Difference test at the 5% significance level. The parameters observed included chemical quality (moisture content, ash content, and crude fiber content), physical quality (expandability, elasticity, bread pores, and staling), and organoleptic quality (aroma, taste, texture, crust color, and crumb color). The results showed that the treatment of different flour compositions and carrageenan concentrations had a significant effect on ash content, crude fiber content, expandability, elasticity, bread pores, and staling. However, there was no significant effect on its moisture content and organoleptic quality. To minimize the use of wheat flour, the composition of wheat:sorghum:tapioca flour 40:30:30 and carrageenan concentration 0.4% is the recommended treatment, with 24.35% moisture content (met the SNI requirements), 1.49% ash content, 4.08% crude fiber content, 68.69% expandability, 82.55% elasticity, pore size tends to be uniform between 12.08-19.11µm, staling time on the third day, and preferred by panelists because the texture is rather soft, the color of the crust is yellowish brown, and the color of the crumb is yellowish white.

In vivo shoulder kinematic changes and rotator cuff healing after surgical repair of large-to-massive rotator cuff tears

BackgroundFew studies have investigated the correlation between shoulder kinematics and clinical outcomes in patients undergoing rotator cuff repair using dynamic analysis. This study assessed shoulder kinematics before and after surgical repair in patients with rotator cuff tears (RCTs) and determined the relationship among shoulder kinematics and between shoulder kinematics and clinical outcomes.MethodsTen patients with large-to-massive RCTs and 10 control participants were included. In vivo shoulder kinematics during scapular plane abduction were measured preoperatively and 1 year postoperatively using validated image-registration techniques and compared among the control, preoperative, and postoperative groups. Mixed models were used to compare the effects of the groups on shoulder kinematics, followed by Tukey’s honest significant difference test. Pearson’s correlation coefficient was used to identify the correlations among shoulder kinematics and between each kinematic and clinical outcome.ResultsThe scapula, tilted more anteriorly preoperatively, was not different from the control group postoperatively. Additionally, the change in scapular posterior tilt (PT) throughout dynamic abduction was 18.17° ± 3.59° in the postoperative group, greater than that in the control group (11.54° ± 2.29°; p = 0.0037). The postoperative change in PT significantly correlated with acromiohumeral distance (AHD) and rotator cuff integrity (Sugaya classification) (AHD: r = 0.71, p = 0.023; Sugaya classification: r = − 0.75, p = 0.013), but not preoperative change in PT. Functional score improved from preoperative to postoperative (p < 0.0001). Abduction angle and functional score significantly correlated with Sugaya classification (abduction angle: r = − 0.67, p = 0.034; functional score: r = − 0.70, p = 0.025) but not with shoulder kinematics. Mean superior translation of the humeral head and AHD throughout abduction changed from 1.77 ± 1.34 to 0.61 ± 1.37 and 1.44 ± 1.59 to 2.71 ± 2.27 mm, respectively, from preoperative to postoperative (both p < 0.0001).ConclusionsAfter the surgical repair of large-to-massive RCTs, glenohumeral stability normalized, and the more anteriorly tilted orientation of the scapula improved. Additionally, the preoperative increased scapular motion throughout dynamic abduction was further enhanced postoperatively. Interestingly, in postoperative patients, scapular motion toward PT during dynamic abduction correlated with minimum AHD and cuff healing.

Investigating the Antibacterial, Antioxidant, and Cholesterol-lowering Properties of Yogurt Fortified with Postbiotic of Lactobacillus acidophilus and Lactiplantibacillus plantarum in the Wistar Rat Model

Postbiotics have gained attention in the food industry due to their functional properties and ease of use compared to their live parent cells. Postbiotics are the metabolic byproducts of probiotic microorganisms, offering advantages such as antimicrobial and anti-diabetic effects. The study aimed to explore the potential antibacterial, antioxidant, and cholesterol-lowering effects of postbiotics from Lactobacillus acidophilus (LA) and Lactiplantibacillus plantarum (LbP) through in vitro and in vivo studies. Freeze-dried postbiotics from L. acidophilus BLAC 258 and L. plantarum were used in yogurt to inhibit foodborne pathogens over a 21-day storage period at 4 °C. The cholesterol-lowering effects of the postbiotic yogurt were assessed in Wistar rats fed with Normal Basal Diet (NBD) and High Cholesterol Diet (HCD). All experiments were performed in triplicate, and the collected data were analyzed with a one-way ANOVA using SPSS v.20 (2021) software. The Tukey Honestly Significant Difference (HSD) test was used for means differences at the 95% confidence interval. The results showed that postbiotic-fortified yogurt exhibited significant antioxidant and antibacterial effects. The antioxidant capacity of the yogurt increasingly peaked at 48.81% on day 14. Also, Listeria monocytogenes counts in the postbiotic yogurt decreased by approximately 2 Log10 on day 3. High-cholesterol-fed rats receiving postbiotic yogurt experienced significant reductions in total cholesterol, triglycerides, and LDL levels. Overall results indicate that postbiotics functional yogurt might be a safe and effective strategy for managing cholesterol levels and inhibiting foodborne pathogens.

NIMG-53. MRI-BASED RADIOMICS FOR DIFFERENTIATION BETWEEN PERIFOCAL EDEMA AND NON-CONTRAST-ENHANCING GLIOBLASTOMA FOCI

Abstract OBJECTIVE Various intracranial tumors can lead to the development of perifocal edema. Differentiating edema from tumor on MRI might be easy in metastases and meningiomas but can be challenging in patients with glioblastoma. We set out to compare and characterize perifocal edema and non-contrast-enhancing glioblastoma foci by means of radiomic feature analysis. METHODS In this single-center, retrospective study, patients with intracranial tumors and perifocal edema on preoperative T2/FLAIR-sequences were included. Patients diagnosed with brain metastasis, meningioma or glioblastoma were eligible. Tumor and edema volumes were semi-automatically segmented and extracted. After image registration, contrast-enhancing tumor and necrosis on T1-weighted sequences were subtracted from T2/FLAIR-hyperintense tumor and perifocal edema. Radiomic features were computed. Distribution of radiomic features were tested using the Shapiro-Wilk test. ANOVA or Kruskal-Wallis tests were applied to compare the features. Significant features were identified based on p-values (&amp;lt;0.05) and post-hoc Tukey’s Honest Significant Difference (HSD) tests were conducted. RESULTS The cohort comprised n=60 patients and was split in three groups according to histopathology (metastases, meningioma, glioblastoma). Each subgroup comprised n=20 patients (33.3%). 107 radiomic features of the T2-hyperintensity, after subtraction of contrast-enhancing tumor and necrosis, were tested for each patient. 18 radiomic features (17%) that mainly comprised measures of shape, texture and intensity distribution, e.g., sphericity (p&amp;lt;0.01), surface/volume (p&amp;lt;0.01), entropy (p&amp;lt;0.01), skewness (p&amp;lt;0.01) and kurtosis (p&amp;lt;0.01), showed no significant difference between metastases and meningiomas but differed significantly from the T2-hyperintensity of glioblastoma. The textual complexity of glioblastoma was significantly higher (p&amp;lt;0.01). CONCLUSION Radiomic feature analysis unraveled many features that might be helpful in differentiating perifocal edema from tumor infiltration. Future studies should aim at validating our results and further exploring the T2-hyperintensity of glioblastoma patients, e.g., suspected edema versus suspected tumor infiltration zone.

Impact of Land Use and Land Cover Changes on Soil Physico-Chemical Properties in Southern Tigray, Northern Ethiopia

Soil quality declines due to the conversion of natural vegetation into farmland and grazing areas. The response of soil properties to land use and land cover changes (LULC) exhibits both spatial and temporal variations. This study aimed to assess the effects of LULC changes on the physico-chemical properties of soil in the Wojic watershed. Soil samples were collected from natural forests, bushland, shrubland, and cultivated lands across three landforms of the watershed (upper, middle, and lower) to evaluate the physical and chemical properties of the soil associated with different LULC types. The LULC categories were compared using mean values and critical thresholds for selected physicochemical soil properties. Soil analysis was conducted using R software, employing one-way analysis of variance (ANOVA). A normality test was performed before the post hoc analysis, and Tukey’s honest significance difference (HSD) test was utilized for mean separation among the LULC types. Additionally, a normalized difference vegetation index (NDVI) was calculated for the years 1997 and 2017. A simple linear regression model was developed to estimate soil physico-chemical properties over the past 20 years, using laboratory soil parameters and the NDVI for 2017. The pH values showed a slight decrease in cultivated land (from 5.7 to 5.4), bushland (from 7 to 6.6), and shrubland (from 6.5 to 6.2) over the study period. The analysis indicated a declining trend in physico-chemical properties, attributed to changes in vegetation cover and management practices. Consequently, the government needs to enforce policies and regulations that promote effective land resource management and utilization, with particular emphasis on the proper management and conservation of forests, bushlands, and shrublands, as well as measures to prevent increased land resettlement.

Effect of surface treatments and bonding type on elemental composition and bond strength of dentin

The objective of this study was to explore the effect of different surface treatments and bonding types on elemental composition and bond strength of dentin. Under water cooling, 1.5 mm of tooth structure containing just dentin was cut from 39 extracted human molars. Dentin surfaces were untreated (control) or treated by erbium: yttrium aluminum garnet or femtosecond laser (n = 13, each). One sample from each group underwent scanning electron microscopy. Then, dentin surfaces were bonded by Clearfil SE Bond or Clearfil SE Protect (n = 6, each). Energy dispersive X-ray spectroscopy was performed both after surface treatment and bonding application. The dual-polymerized resin cement was applied to dentin surfaces with a special teflon mold (diameter:3 mm × height:3 mm). After polymerization of the resin cement, shear force was applied at the resin cement-dentin interface. Elemental composition value (weight%) of dentin after surface treatment was analyzed by one-way analysis of variance (ANOVA), and the difference value in pre and post-bonding elemental composition by two-way ANOVA. Paired t-tests were executed to compare the weight% values of each element before and after each bonding application. Bond strength was analyzed by two-way ANOVA. The post-hoc test was Tukey’s honest significant difference test. Both laser treatments increased the mineral content of dentin, compared to the controls (P<0.05). Application of bonding agents decreased the mineral content of dentin compared to the surface treated dentin. Bond strength was unaffected by either surface treatment or bonding type (P>0.05). For resin cementation, either surface treatment is suitable. After laser treatment, Clearfil SE Bond is recommended over Clearfil SE Protect.

Clinical Variant Reclassification in Hereditary Disease Genetic Testing

Because accurate and consistent classification of DNA sequence variants is fundamental to germline genetic testing, understanding patterns of initial variant classification (VC) and subsequent reclassification from large-scale, empirical data can help improve VC methods, promote equity among race, ethnicity, and ancestry (REA) groups, and provide insights to inform clinical practice. To measure the degree to which initial VCs met certainty thresholds set by professional guidelines and quantify the rates of, the factors associated with, and the impact of reclassification among more than 2 million variants. This cohort study used clinical multigene panel and exome sequencing data from diagnostic testing for hereditary disorders, carrier screening, or preventive genetic screening from individuals for whom genetic testing was performed between January 1, 2015, and June 30, 2023. DNA variants were classified into 1 of 5 categories: benign, likely benign, variant of uncertain significance (VUS), likely pathogenic, or pathogenic. The main outcomes were accuracy of classifications, rates and directions of reclassifications, evidence contributing to reclassifications, and their impact across different clinical areas and REA groups. One-way analysis of variance followed by post hoc pairwise Tukey honest significant difference tests were used to analyze differences among means, and pairwise Pearson χ2 tests with Bonferroni corrections were used to compare categorical variables among groups. The cohort comprised 3 272 035 individuals (median [range] age, 44 [0-89] years; 2 240 506 female [68.47%] and 1 030 729 male [31.50%]; 216 752 Black [6.62%]; 336 414 Hispanic [10.28%]; 1 804 273 White [55.14%]). Among 2 051 736 variants observed over 8 years in this cohort, 94 453 (4.60%) were reclassified. Some variants were reclassified more than once, resulting in 105 172 total reclassification events. The majority (64 752 events [61.65%]) were changes from VUS to either likely benign, benign, likely pathogenic, or pathogenic categories. An additional 37.66% of reclassifications (39 608 events) were gains in classification certainty to terminal categories (ie, likely benign to benign and likely pathogenic to pathogenic). Only a small fraction (663 events [0.63%]) moved toward less certainty, or very rarely (61 events [0.06%]) were classification reversals. When normalized by the number of individuals tested, VUS reclassification rates were higher among specific underrepresented REA populations (Ashkenazi Jewish, Asian, Black, Hispanic, Pacific Islander, and Sephardic Jewish). Approximately one-half of VUS reclassifications (37 074 of 64 840 events [57.18%]) resulted from improved use of data from computational modeling. In this cohort study of individuals undergoing genetic testing, the empirically estimated accuracy of pathogenic, likely pathogenic, benign, and likely benign classifications exceeded the certainty thresholds set by current VC guidelines, suggesting the need to reevaluate definitions of these classifications. The relative contribution of various strategies to resolve VUS, including emerging machine learning-based computational methods, RNA analysis, and cascade family testing, provides useful insights that can be applied toward further improving VC methods, reducing the rate of VUS, and generating more definitive results for patients.

Effect of Vitamin A and Magnesium Supplementation on Protein Consumption and Nitrogen Retention of Sheep

The research aimed to examine the effect of vitamin A and magnesium supplementation on protein consumption and nitrogen retention in sheep was carried out on February 29 - June 26 2023. The material used was 18 local male sheep aged 7 - 8 months with a weight of 17,12 ±1,94 kg were reared for 2 months in individual stage model cages. The basal feed given is concentrate (75%) and ammoniated rice straw (25%). The in vivo experimental method uses a Randomized Complete Block Design (RCBD) as a group, namely the initial weight of the research sheep, consisting of 6 groups that act as repeaters. Treatments tested T1 = Ammoniated rice straw (25%) + concentrate feed (75%); T2 = T1 + vitamin A (2000 IU); T3 = T2 + magnesium mineral (1 gram). The variables measured were protein consumption and nitrogen retention. The data obtained was then analyzed using analysis of variance (ANOVA) which was further tested with the Honestly Significant Difference (HSD) test. Protein consumption was significantly influenced by treatment (P&lt;0.05) with a mean of 101.71 ± 3.85 grams/head/day (T1), 109.03 ± 8.60 grams/head/day (T2), and 115.99 ± 5.35 grams/head/day (T3). Likewise, nitrogen retention was significantly influenced by treatment (T&lt;0.05) with an average of 9.37 ± 1.41 grams/head/day (T1), 9.81 ± 1.51 grams/head/day (T2), 10.21 ± 1.53 grams/head/day (T3). The HSD test results showed that the protein consumption and nitrogen retention of T3 sheep were significantly (P&lt;0.05) higher than those of T1 and T2. The research conclusion was that supplementation of vitamin A and magnesium (T3) in basal feed was able to increase protein consumption by 12.31% and nitrogen retention by 8.24% in sheep when compared to the control treatment (T1).

Role of Artificial Intelligence in Determining Ideal Nasal Tip Projection in Diverse Populations.

Nasal tip projection ideals have been based on the Caucasian nose; however, many racial groups have underprojected tips. Several methodologies have been described to measure ideal nasal tip projection. This study aimed to compare various methods to racially diverse groups to elucidate those best suited for race-specific facial morphology. An openly accessible artificial intelligence image generator was used to generate images of Caucasian, Middle Eastern, and African American noses. Tip projection was manually measured using 5 different ideal tip projection methods. One-way analysis of variance with post hoc Tukey honest significant difference test evaluated differences between racial cohorts. One-sample t tests were used for comparisons to previously described aesthetic ideals, and a P value of less than 0.05 was considered statistically significant. Twenty lateral images were analyzed per racial cohort (10 men and 10 women). All racial groups-except for male Middle Eastern noses (P = 0.01)-were measured as ideal using the Byrd nasal length proportion method. Caucasian and Middle Eastern noses measured ideal using the nasolabial tip projection method. African American female noses measured ideal using the nasofacial tip projection method. Only Caucasian noses were ideal using the lip tangent method. This study suggests that the ideal nasal length to tip length ratio of two-thirds (67%) has generalizability across these racial groups; the lip tangent is an excellent method for evaluating tip projection in Caucasians; and assessment of ideal tip projection in Middle Eastern and African American groups should use regional midface and lower face anatomy to account for differences in facial morphology.

Evaluation of Agronomic and Genetic Diversity in M2V1 Generation of Marigold (Tagetes erecta L.)

Marigold (Tagetes erecta L.) is an ornamental plant widely used as a potted or cut flower due to its vibrant colors and diverse flower shapes. High genetic diversity is essential for successful breeding programs aimed at developing superior varieties. Genetic information can be obtained by estimating variance components and heritability values, key parameters in plant breeding. A high heritability value suggests that genetic factors influence a plant's characteristics more than environmental factors. This study assessed the genetic diversity and performance of vegetative propagation from 2nd generation mutant plants (M2V1). The research was conducted at the Pasir Sarongge experimental field in Cianjur Regency from July to October 2023, using a randomized complete block design with 17 genotypes and three replicates. The genotypes included 14 from vegetative propagation of M2V1 mutant plants and three comparison varieties: “Maharani”, “BAIP 2”, and “BAIP 3”. Data analysis was performed using PKBT-STAT 3.1 software, followed by the honest significant difference (HSD) test at the 5% level. The results revealed significant differences among genotypes in plant height, stem diameter, canopy width, leaf width, flower weight, flower diameter, number of flowers per plant, total flower weight per plant, and flower stalk length. Floret types observed were either all ligulate or all tubuligulate, with flower colors ranging from orange to yellow to white. Traits such as canopy width, flower weight, flower diameter, and stalk length, which exhibited broad genetic diversity and high heritability, can be used for selection in future marigold breeding programs.

Identification of foxtail millet (Seteria italica (L.) P. Beauv.) genotypes for multi-season adaptability using GGE biplot analysis in Foothills of Nagaland

Foxtail millet is a main millets crop of Northeastern region of India. The genotype-by-environment analyses assist in understanding the potential performance of the genotypes over environments. The present study aimed to investigate the 30 foxtail genotypes over the four different environments to identify the genotypes with stable yield in this region. The investigation was carried out during July 2022 to May 2023 for four different dates of sowing with fifty-five days interval. Two environments maintained under rainfed condition and the remaining two environments are maintained under irrigated condition with seven days interval. The experiment was conducted in randomized complete block design with three replications in all environments. Genotype-environment interactions significantly influenced grain yield across four environments, while replicates were non-significant. Pooled analysis revealed significant genotypic effects and seasonal impacts. The “discriminating power vs. representativeness” GGE biplot showed that E4 (showing dates in January 2ndfort night) is the most ideal test environment for foxtail millet elite line selection based on discriminative ability and representativeness. The accessions that performed best in each environment based on “which-won-where” polygon biplot, genotypes G19 (FOX 4392) and G27 (FOX 4420) showed superior and stable performance in E1, however G25 (FOX 4341) and G1 (ELS 20) excelled in E2, E3, and E4.Mean vs stability biplots exposed G1 (ELS 20) is stable and high yielding performance. Ranking genotypes GGE biplot identify the G25 (FOX 4341) is an ideal genotype due to its higher yield and stability compared to the other genotypes. Keywords: GGE Biplots, Foxtail millet, Tukey's Honest Significant Difference (HSD) Test