Effect Of Treatment Research Articles

Effectiveness of Omega-3 Fatty Acids Versus Placebo in Subjects at Ultra-High Risk for Psychosis: The PURPOSE Randomized Clinical Trial.

In the past 2 decades, substantial effort has been put into research on therapeutic options for people at ultra-high risk (UHR) for developing a first episode of psychosis (FEP), focusing on omega-3 polyunsaturated fatty acids (PUFAs) in preventing transition to psychosis. Despite an initial positive finding, subsequent studies failed to find a beneficial effect. The current study aimed to further investigate the effect of omega-3 PUFAs in UHR, to determine whether this line of research is worth pursuing. A double-blind, randomized, placebo-controlled study testing the efficacy of 6-month treatment with omega-3 PUFAs in 135 subjects at UHR for FEP, aged 13 to 20 years on the prevention of a transition to psychosis, followed up for 18 months post-treatment. The trial was conducted at 16 general hospitals and psychiatric specialty centers located in 8 European countries and Israel. There was no beneficial effect of treatment with omega-3 PUFAs compared to placebo; the rate of transition over 2 years did not differ between treatment arms nor was there a difference in change in symptom severity after 6-month treatment. Dropout rates and serious adverse events were similar across the groups. This is the third study that fails to replicate the original finding on the protective effect of omega-3 PUFAs in UHR subjects for transition to psychosis. The accumulating evidence therefore suggests that omega-3 PUFAs do not reduce transition rates to psychosis in those at increased risk at 2 years follow-up. This trial is registered with ClinicalTrials.gov (NCT02597439; Study Details | Placebo-controlled Trial in Subjects at Ultra-high Risk for Psychosis With Omega-3 Fatty Acids in Europe | ClinicalTrials.gov).

PENGARUH PENGGUNAAN MEDIA AJAR BERBASIS TEKNOLOGI ANIMAKER PADA MATA PELAJARAN IPAS TERHADAP MINAT BELAJAR PADA SISWA SEKOLAH DASAR

: The effect of using technology-based learning media on science subjects. So you can see how strong the influence of technology-based learning media is on increasing students' interest in learning in the learning process. The aim of this research is to determine the effect of using Animaker technology-based teaching media on class 4 students' interest in learning. This type of research uses a quantitative approach with experimental research methods. The method used to find the effect of treatment on the thing being researched. Therefore, in this experimental method there will be special treatment to determine whether or not there is an influence in the research. The method used by researchers is Quasi Experimental design. hypothesis testing, the results of the independent t test show that there are significant differences between the two groups. Levene's Test shows that the variance of the two groups is considered the same (Sig. 0.804). The t-test results show a t-statistic value of 5.298 with 54 degrees of freedom and a significance value of 0.000. The mean difference between the experimental and control groups was 8.964 with a 95% confidence interval ranging from 5.572 to 12.356. These results indicate that the use of Animaker teaching media significantly increases students' interest in learning compared to conventional learning methods. It is concluded that there is a significant influence from the use of Animaker technology-based teaching media on students' interest in learning in science and science subjects in class 4 at SDN Grogol Utara 09. Analysis statistics show that there is a significant difference in the post-test results between the experimental group using Animaker and the control group using conventional methods. With the experimental group's average post-test results being slightly higher, this difference is statistically large enough to be declared a significant difference.

A plain language summary of the final analysis of the GRIFFIN study of daratumumab plus lenalidomide, bortezomib, and dexamethasone for people with newly diagnosed multiple myeloma.

This summary describes the final analysis of the GRIFFIN study. In this study, participants were newly diagnosed with a type of blood and bone marrow cancer called multiple myeloma, had never received any treatment, and were able to undergo an autologous stem cell transplant. The GRIFFIN study looked at adding the drug daratumumab (D) to a combination of standard treatments called RVd (lenalidomide [R], bortezomib [V], and dexamethasone [d]) during the treatment phases induction and consolidation, followed by daratumumab and lenalidomide (D-R) maintenance. Participants also received an autologous stem cell transplant to further help reduce multiple myeloma. The GRIFFIN study looked at whether D-RVd followed by D-R maintenance was better at killing multiple myeloma cells compared with RVd on its own followed by R maintenance on its own, and if treatments were safe. This summary also describes results from 2 other GRIFFIN publications: one that looked at participants with certain multiple myeloma characteristics or demographic factors that are associated with worse outcomes, and another that looked at how treatments impacted the participants' quality of life. At the time of the final analysis of GRIFFIN, participants who were treated with D-RVd followed by D-R maintenance had very low (undetectable) levels of multiple myeloma cells and multiple myeloma markers (biological signs) and were more likely to be alive without the multiple myeloma getting worse or coming back compared with participants who received standard RVd treatment followed by R maintenance. There was also a pattern of similar benefits achieved by participants who were at risk for worse outcomes. Additionally, participants who received D-RVd treatment followed by D-R maintenance reported less pain, less fatigue (extreme tiredness), and greater improvements in their ability to conduct daily physical activities. While some side effects (unwanted or unexpected effects of treatment) were higher with D-RVd, side effects in both groups were as expected, and adding daratumumab did not reduce a participant's ability to handle treatment. Results of the GRIFFIN study showed that D-RVd treatment followed by D-R maintenance was better at treating multiple myeloma than the standard treatment of RVd followed by R maintenance in adults with a new diagnosis of multiple myeloma who were able to receive an autologous stem cell transplant, with no unexpected side effects of treatment.Clinical Trial Registration: NCT02874742 (GRIFFIN) (ClinicalTrials.gov).

Stem Cells Treatment for Subarachnoid Hemorrhage.

Subarachnoid hemorrhage (SAH) refers to bleeding in the subarachnoid space, which is a serious neurologic emergency. However, the treatment effects of SAH are limited. In recent years, stem cell (SC) therapy has gradually become a very promising therapeutic method and advanced scientific research area for SAH. The SCs used for SAH treatment are mainly bone marrow mesenchymal stem cells (BMSCs), umbilical cord mesenchymal stem cells (hUC-MSCs), dental pulp stem cells (DPSCs), neural stem cells (NSCs)/neural progenitor cell (NPC), and endothelial progenitor cell (EPC). The mechanisms mainly included differentiation and migration of SCs for tissue repair; alleviating neuronal apoptosis; anti-inflammatory effects; and blood-brain barrier (BBB) protection. The dosage of SCs was generally 106 orders of magnitude. The administration methods included intravenous injection, nasal, occipital foramen magnum, and intraventricular administration. The administration time is generally 1 hour after SAH modeling, but it may be as late as 24 hours or 6 days. Existing studies have confirmed the neuroprotective effect of SCs in the treatment of SAH. SC has great potential application value in SAH treatment, a few case reports have provided support for this. However, the relevant research is still insufficient and there is still a lack of clinical research on the SC treatment for SAH to further evaluate the effectiveness and safety before it can go from experiment to clinical application.

Short- and Long-Term Outcomes of e-Health and Internet-Based Psychological Interventions for Chronic Tinnitus: A Systematic Review and Meta-Analysis.

Objective: e-Health or web-based systems in the field of tinnitus have gained increasing interest. Cognitive behavioral therapy (CBT) delivered via the internet is currently witnessing a surge in both attention and offerings. This systematic review analyzed the efficacy and sustainability of internet-based therapies aimed at reducing tinnitus distress and comorbidities such as anxiety, depression, and sleep disorders. The review exclusively considered randomized controlled trials (RCTs) in which trained personnel were actively involved during intervention. Methods: Utilizing search terms such as tinnitus, internet-based therapy, and e-Health therapy, we identified 155 studies, from which 37 RCTs were carefully examined for data availability. Primary outcome measures included treatment effects for tinnitus distress (Tinnitus Questionnaire and other questionnaires) and handicap (Tinnitus Handicap Inventory), while secondary outcomes encompassed depression, anxiety, and sleep problems. Meta-analyses were conducted employing random-effect models. A study effect model was applied, yielding a singular effect size for each sample. The effect sizes were examined for influences of various moderators. Results: We found a statistically significant large effect size for improvement in tinnitus distress (d = 0.83; [confidence interval 0.61-1.06] with total n = 450 for the experimental group and total n = 504 or the controls), while the reduction of tinnitus handicap was smaller (moderate effect size d = 0.59; [0.44-0.73]). Less strong but still significant effects resulted for depression, anxiety, and insomnia. Most of the long-term outcomes remained stable. As moderators, the risk of bias (RoB) and the severity of tinnitus manifestations were identified. Conclusions: Internet-based therapy provides a valuable avenue for initial therapeutic contact, as supporting component in tinnitus treatment if accompanied by therapists. The heterogeneous quality with high drop-out rates or partly high RoB and the wide range of interventions (counseling, eCBT, mindfulness) might be considered as a limiting factor for a first-line management in tinnitus. So far, the use of e-Health is dependent on availability or user preferences.

Application Status and Future Prospects of Traditional Chinese Medicine Nursing Technology

In recent years, the nursing technology of traditional Chinese medicine (TCM) has developed rapidly in the country. TCM nursing technology mainly refers to the application of TCM therapy in clinical nursing practice, such as acupoint massage, cupping, ear point pressure beans, scraping, wet compress of traditional Chinese medicine, etc. Its application can not only effectively reduce the pain of patients, but also can promote the treatment effect, help patients recover early, but also help to further improve the quality of service of nursing staff. In clinical nursing practice, however, the application of TCM nursing technology still has some problems, such as the theory of traditional Chinese medicine nursing quality to promote, “Internet + TCM nursing” is still in the exploratory stage, etc. This article mainly discusses the application status and existing problems of Chinese medicine nursing technique, coping strategies and its future prospects for related analysis and research, hope to be able to improve the quality of TCM nursing technology application in China to provide some reference and reference.

Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategies

Abstract Radiation therapy is a localized cancer treatment that relies on precise delineation of the target to be treated and healthy tissues to guarantee optimal treatment effect. This step, known as contouring or segmentation, involves identifying both target volumes and organs at risk on imaging modalities like CT, PET, and MRI to guide radiation delivery. Manual segmentation, however, is time-consuming and highly subjective, despite the presence of contouring guidelines. In recent years, automated segmentation methods, particularly deep learning models, have shown promise in addressing this task. However, challenges persist in their clinical use, including the need for robust quality assurance (QA) processes and addressing clinical risks associated with the use of the models. This review examines the challenges and considerations of the clinical adoption of deep learning target auto-segmentation in radiotherapy, focused on the target volume. We discuss potential clinical risks (e.g. over- and under-segmentation, automation bias, and appropriate trust), mitigation strategies (e.g. human oversight, uncertainty quantification, and education of clinical professionals), and we highlight the importance of expanding QA to include geometric, dose-volume, and outcome-based performance monitoring. While deep learning target auto-segmentation offers significant potential benefits, careful attention to clinical risks and rigorous QA measures are essential for its successful integration in clinical practice.

Impact on Local Economy from Zhoushan National New Area

To empirically study the policy impact of a National New Area on the local economy, this paper evaluates the effect of the Zhoushan Archipelago New Area on local GDP growth rate and economic efficiency. Firstly, the economic efficiency of 20 prefectural-level cities in Jiangsu, Zhejiang and Anhui provinces is estimated by data envelopment analysis with input and output data from 1995 to 2015. In selecting some cities except Zhoushan as a control group, we construct some counterfactuals of Zhoushan by a panel data approach. The difference between the actual and counterfactual values for the GDP growth rate and economic efficiency of Zhoushan is calculated and compared to conclude the treatment effect of the National New Area. The research shows that in the first four years, the policy of the National New Area promoted Zhoushan's economic quality by raising its efficiency, but relatively reduced its economic quantity by negatively affecting the local GDP growth rate. Then the policy influence on Zhoushan’s GDP growth rate and economic efficiency gradually disappeared after four years. Combining some other research on our study, we find that the policy effect on the GDP growth rate is related to the level of economic growth in these areas. The policy of the National New Area has less influence on GDP growth if approved in the developed region rather than in the undeveloped region. We think that it is better to set up a National New Area in a relatively undeveloped area.

Revealing Drug Treatment Effect from the SERS Profiles of Cell Membrane Biomolecules by a Silver Nanoparticle-Based Magnetic Plasmonic Probe

Revealing Drug Treatment Effect from the SERS Profiles of Cell Membrane Biomolecules by a Silver Nanoparticle-Based Magnetic Plasmonic Probe

A Unified Framework for Covariate Adjustment Under Stratified Randomisation

ABSTRACTRandomisation, as a key technique in clinical trials, can eliminate sources of bias and produce comparable treatment groups. In randomised experiments, the treatment effect is a parameter of general interest. Researchers have explored the validity of using linear models to estimate the treatment effect and perform covariate adjustment and thus improve the estimation efficiency. However, the relationship between covariates and outcomes is not necessarily linear, and is often intricate. Advances in statistical theory and related computer technology allow us to use nonparametric and machine learning methods to better estimate the relationship between covariates and outcomes and thus obtain further efficiency gains. However, theoretical studies on how to draw valid inferences when using nonparametric and machine learning methods under stratified randomisation are yet to be conducted. In this paper, we discuss a unified framework for covariate adjustment and corresponding statistical inference under stratified randomisation and present a detailed proof of the validity of using local linear kernel‐weighted least squares regression for covariate adjustment in treatment effect estimators as a special case. In the case of high‐dimensional data, we additionally propose an algorithm for statistical inference using machine learning methods under stratified randomisation, which makes use of sample splitting to alleviate the requirements on the asymptotic properties of machine learning methods. Finally, we compare the performances of treatment effect estimators using different machine learning methods by considering various data generation scenarios, to guide practical research.

Comprehensive Treatment of Impacted Teeth with Comprehensive Oral Clinical Diagnosis and Treatment Thinking

Impacted teeth are a common disease in oral surgery, which can be caused by systemic factors and local factors, and the incidence of different genders, races and tooth positions is different. The clinical manifestation of impacted teeth is the absence of permanent teeth in normal position. Cone beam CT can accurately diagnose and locate impacted teeth. At present, surgical fenestration or direct extraction are often used to treat impacted teeth, but the treatment effect and prognosis are not ideal enough. In the process of oral clinical diagnosis and treatment, doctors began to adopt comprehensive diagnosis and treatment thinking to solve problems, and the key to improve the success rate of oral disease treatment is to make a clear diagnosis, reasonably evaluate the difficulty of treatment and adopt appropriate correction methods. This paper summarizes the research status of impacted teeth in recent years, focusing on the multidisciplinary comprehensive treatment of impacted teeth, in order to improve the clinical comprehensive diagnosis and treatment thinking of dentists and provide reference for accurate treatment of impacted teeth and reduction of complications in the treatment process.

Analysis of Clinical Application of Minimally Invasive Technique in Alveolar Surgery

Objective To explore the clinical effect of minimally invasive techniques in the treatment of alveolar surgery. Methods 80 patients who underwent dental surgery from March 2023 to March 2024 were selected as study samples and randomly divided into two groups. The control group (40 cases) underwent the traditional extraction method, and the observation group (40 cases) underwent the minimally invasive technique. The integrity rate of tooth extraction, pain rate, postoperative infection rate and treatment effect were compared between the two groups. Results The integrity rate of tooth extraction, pain rate and postoperative infection rate in observation group were lower than those in control group (P < 0.05). The therapeutic effect of observation group was significantly higher than that of control group (P < 0.05). Conclusion Minimally invasive technique has a significant effect in the treatment of alveolar surgery, which can reduce the degree of pain and the probability of infection and improve the integrity of the alveolar.

Host Genetic Resistance in Brassica napus: A Valuable Tool for the Integrated Management of the Fungal Pathogen Leptosphaeria maculans.

Management of plant disease in agro-ecosystems ideally relies on a combination of host genetic resistance, chemical control, and cultural practices. Growers increasingly rely on chemical and genetic options, but their relative benefits in disease control, yield, and economic outcomes are rarely quantified. We explore this relationship for blackleg crown canker disease (caused by Leptosphaeria maculans), a major biotic constraint limiting canola production globally. Data from 20 field trials conducted from 2013 to 2015 in canola-growing regions of Australia were used to assess the effects of host resistance and fungicide treatment on blackleg severity, grain yield, and gross margin. In the absence of fungicide, blackleg disease was 88% lower in the most resistant compared with the most susceptible blackleg resistance category. In the most susceptible resistance category, the most effective fungicide treatment significantly reduced blackleg severity (from 50 to 6%) and increased grain yield (478 kg/ha, 41%) and gross margin (AU$120/ha, 17%). However, the mean benefits of fungicide tended to decrease with increasing levels of genetic resistance, to the point that yield, disease, and gross margin benefits were close to zero in the most resistant cultivars. Overall, these findings suggest that fungicides can reduce blackleg severity, but the benefits of application strongly depend on associated levels of genetic resistance. Canola cultivars with higher genetic resistance reliably reduced blackleg disease and maintained grain yield without the associated cost of fungicide application. The intensification of canola production to meet increasing global demand will require strategies to sustainably manage and protect finite genetic resistance resources to control blackleg disease.

Effect of different treatments of granular rubber on mechanical performance of self-compacting rubberized concrete - using locally sourced materials

Effect of different treatments of granular rubber on mechanical performance of self-compacting rubberized concrete - using locally sourced materials

Changes in the expression profile of serum lncRNAs in pregnant women with high hepatitis B viral load during antiviral and non-antiviral treatment

ObjectiveThis research analyzes the potential of long non-coding RNAs (lncRNAs) as markers in determining the necessity of antiviral treatment in pregnant women by examining alterations in the expression profile of serum lncRNAs in pregnant women with elevated hepatitis B viral load (HBVL) under antiviral and non-antiviral treatment regimens between the second trimester and delivery.MethodsSerum was obtained from 6 s-trimester pregnant women with high HBVL and no intrauterine infection. Then, 3 of these women were randomly selected for antiviral treatment, with the remaining 3 women undergoing non-antiviral treatment as control. Serum samples were again collected from these 6 women before delivery. The expression profile of lncRNAs was analyzed with microarray technology, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The axes of hub lncRNA-miRNA-mRNA were identified based on the competing endogenous RNA (ceRNA) network.ResultsThe expression profile of serum lncRNAs in pregnant women with high HBVL changed significantly from the second trimester of pregnancy until delivery under antiviral or non-antiviral treatment. The Venn diagram was utilized to screen out the jointly up-regulated and down-regulated lncRNAs in the serum of pregnant women under antiviral and non-antiviral treatment before delivery. Additionally, the KEGG pathway enrichment analysis results showed that lncRNAs might mediate the Hippo pathway in HBV infection. Based on the ceRNA network, 3 hub lncRNAs (CATG00000076041.1, LINC01310, and G014655) were found to potentially regulate the key gene TP73 in the Hippo pathway.ConclusionIn this study, we retrieved co-differentially expressed lncRNAs in pregnant women with high HBVL under antiviral or non-antiviral treatment, which may be used as markers for evaluating whether pregnant women with high HBVL may be free of antiviral treatment. This study may provide a basis for preventing potential adverse effects of antiviral treatment on maternal and fetal health.

Effect of radiofrequency ablation on improving cardiac structure and function in patients with atrial fibrillation and functional mitral regurgitation

Objective: Exploring the effect of radiofrequency ablation treatment to restore sinus rhythm on the improvement of functional mitral regurgitation (FMR) and cardiac structure in patients with atrial fibrillation combined with moderate or severe FMR, compared with drug therapy alone. Methods: This retrospective cohort study consecutively enrolled patients diagnosed with persistent atrial fibrillation and moderate or severe FMR who were admitted to the Third Affiliated Hospital of Sun Yat-sen University from January 2019 to December 2021. Forty-eight patients who were treated with radiofrequency ablation and maintained sinus rhythm were enrolled in the ablation group, and 63 patients who were treated with medication alone during the same period were in the medicine group. Patients in the ablation group and medicine group were matched in a 1∶1 ratio using a propensity score, and 41 patients were finally included in each of the 2 groups. All patients reexamined echocardiography after 3-month of treatment. The proportion of patients with FMR improvement and the differences in changes of cardiac structural and functional parameters were compared between groups. Results: After propensity score matching, the ablation group was aged (69.3±7.1) years with 21 males (51.2%) and the medicine group was aged (71.3±9.4) years with 21 males (51.2%). The echocardiography after 3-month of treatment showed the rate of FMR improvement was significantly higher in the ablation group than in the medicine group (19 (46.3%) vs. 33 (80.5%), P<0.001), and patients in the ablation group showed a significant decrease in FMR extent (Δmitral regurgitation area: (-1.30±2.64) cm2 vs. (-3.55±2.50) cm2, P<0.001), left atrial size (Δleft atrial diameter: (-0.17±3.78) mm vs. (-2.46±4.01) mm, P=0.009) and E/e' (ΔE/e':-2.54±7.34 vs.-6.34±7.08, P=0.021) compared with the medicine group. There was also a significant decrease in left ventricular size (Δleft ventricular end diastolic diameter: (-3.12±6.62) mm vs. (-0.73±3.62) mm, P=0.046) and significant increase in left ventricular ejection fraction (Δleft ventricular ejection fraction: (2.73±9.69) % vs. (-0.93±5.41) %, P=0.038) in ablation group. Conclusion: Performing radiofrequency ablation to restore sinus rhythm can effectively reduce the severity of mitral regurgitation and improve left atrial and left ventricular remodeling and cardiac function in patients with atrial fibrillation and FMR.

Effects of Formaldehyde-Treated Feed on Rumen Metabolism and Blood Biochemistry in Lambs: A Review

This review evaluates the impact of formaldehyde treatment on feed for lambs, focusing on its effects on rumen metabolism and blood biochemical indicators. Formaldehyde is commonly used as a feed additive to improve nutritional efficiency and preserve feed quality. This review synthesizes data from various studies to assess how formaldehyde-treated feed influences rumen fermentation parameters, including volatile fatty acid (VFA) production, rumen pH, and microbial activity. Additionally, the review examines the effects of formaldehyde treatment on key blood biochemical markers such as glucose, urea nitrogen, and liver enzymes. Studies indicate that formaldehyde treatment can enhance the stability and digestibility of feed, potentially improving nutrient utilization and overall animal performance. The preservation of protein and reduction in feed spoilage are highlighted as significant benefits, contributing to more consistent rumen function and metabolic efficiency. However, the impact on rumen microbial populations and VFA profiles shows mixed results, with some studies reporting improved microbial efficiency and others noting minimal changes. The review also discusses potential adverse effects, including alterations in blood biochemical parameters. While formaldehyde treatment generally maintains or improves key indicators like blood glucose and protein levels, excessive use may lead to concerns such as elevated urea nitrogen levels and potential liver enzyme disruptions, the review concludes that formaldehyde-treated feed can be a valuable tool in optimizing feed efficiency and lamb health, provided it is used judiciously. Future research is recommended to further elucidate the long-term effects on rumen microbiota and metabolic processes, ensuring balanced benefits without compromising animal welfare.

Effects of nano-MoO3 on growth, quality and toxicity of soybean.

Metal nanoparticles are widely used in agricultural production. As a new type of molybdenum fertilizer, MoO3NPs have the properties of nanomaterials and the characteristics of molybdenum nutrition. Previous studies have focused on their role in promoting crop growth. However, it is unknown whether excessive MoO3NPs will affect crop quality and nutritional value. In this study, the effects of different concentrations of MoO3NPs (0, 0.15, 0.5, 1.0, 5.0, 10, 50, 100 mg kg-1) on the growth and quality of soybean were investigated by pot experiments to analyze the plant effects caused by MoO3NPs. The results showed that the effects of MoO3NPs treatment on plant biomass and nodule number were promoted at low concentrations (0.15-5 mg kg-1) and inhibited at high concentrations (10-100 mg kg-1). According to the logistic distribution model, it was predicted that MoO3NPs would have the strongest toxic effect on soybean flowering stage. The contents of MoO3NPs which reduced the yield of soybean by 10% and 20% were 12.38 and 30.81 mg kg-1. NP0.15 could significantly improve the total amount of amino acids in grains, while NP100 reduced the total amount of amino acids in grains, both of them significantly increasing the contents of linolenic acid and linoleic acid in soybean seeds. A change of MoO3NPs concentration had no negative effect on the nutritional value of soybean grains. The research could lead to a better understanding of the potential impact of nutritional changes caused by MoO3NPs on human health. © 2024 Society of Chemical Industry.

Color Ranges and Distribution of Human Teeth: A Prospective Clinical Study.

This study investigated the in vivo color range of human teeth using a research-grade noncontact spectroradiometer, analyzing the effects of gender, age, ethnicity, and lifestyle factors, including diet, smoking, and oral hygiene. A total of 1004 participants were recruited at two research sites and stratified by gender, age, and ethnicity, and data on their dietary and oral habits were collected. Noninvasive color measurements of an upper central incisor were performed using a spectroradiometer and a fiber-coupled Xe-Arc light source. Color differences were computed using the CIELAB and CIEDE2000 color difference formulas, statistically analyzed, and interpreted through comparisons with 50:50% perceptibility (PT) and acceptability (AT) thresholds for dentistry. CIELAB and CIEDE2000 color coordinate values varied significantly. Female teeth appeared lighter and less yellow than men's. Age correlated with darker, more chromatic teeth, stabilizing only after Age 46. Significant ethnic differences were observed, particularly between African-American and Asian participants. Coffee consumption impacted teeth yellowness and chromaticity, while tea had no significant effect. Frequent tooth brushing led to lighter teeth, and tooth whitening considerably influenced color, emphasizing the effect of cosmetic dental treatments. Smoking showed minimal impact, with slight discoloration noted among light smokers compared to nonsmokers. Color coordinate values by gender, age, and ethnicity exhibited statistically significant differences and, in most cases, noticeable color differences. With exceptions, the dietary/oral habits of the patient had a significant impact on the color of human teeth. The findings from this study provide detailed information and understanding of the color range and distribution of human teeth, which can help enhance the esthetic outcome of dental care and, consequently, the patient's satisfaction.

Effect of aminolysis treatment on self-healing properties and printing potentialities of banana peel and edible wax based biodegradable film

Cellulose-based materials are a viable alternative to petroleum-based sources; however, the practical applicability of cellulose films is severely limited by their poor hydrophobicity. This study explores the development of hydrophobic films with self-healing properties through the incorporation of natural wax into a cellulose matrix. Different formulations of films were developed varying the concentration of glycerol (0 % to 3.5 % v/v) and aminolysis treatment. Printability property, rubbing, acid, and water resistance property of the film were also evaluated. The self-healing efficiency of the films varied from around 30 % to 80 % based on variations in glycerol and aminolysis treatment provided. Aminolysis-treated films showed enhanced self-healing properties (Self-healing efficiency ~77 %) compared to the control films. The films were characterized for their physical, mechanical, barrier, and thermal properties and it was found that 1.5 % had superior properties compared to other compositions. Printability properties showed that aminolysis-treated films had better wetting properties (WCA ~ 74.46°) with a peak tact force of 8.1 N. This signifies aminolysis-treated films had better ink absorption and adhesion properties, which confirms the printability nature of the films. This study highlights the potential applications of biodegradable self-healing based film, applications with a scope of resolving environmental problems by replacing petrochemical plastics.