design

Background: Neonatal hypoglycemia is known to cause significant neuronal damage and poor neurodevelopmental outcomes. Consensus guidelines are lacking for the management of persistent neonatal hypoglycemia and hyperinsulinism which often requires high concentrations of dextrose and medications. Although used in the pediatric population with persistent hypoglycemia, only a few case reports are published regarding the use of Maltodextrin supplementation in persistent neonatal hypoglycemia due to transient hyperinsulinism. Objective: To audit the use of Maltodextrins in the management of persistent neonatal hypoglycemia due to transient hyperinsulinism in neonates. Audit design: A retrospective chart review (CERNER electronic data) of all cases with persistent neonatal hypoglycemia who received Maltodextrin supplementation for a period of 3½ years between July 2018 and December 2021. Results: A total of 18 neonates received Maltodextrin supplementation for neonatal hypoglycemia during the audit period. 16/18 (89%) neonates who received Maltodextrin supplementation were weaned off from intravenous dextrose within 1 week without major side effects or severe rebound hypoglycemia. Two out of 18 babies who received Maltodextrin needed Diazoxide supplementation for persistent hypoglycemia.  Conclusion: The results of our audit are promising, yet further research and randomized controlled studies are needed to systematically evaluate the findings of this audit regarding Maltodextrin supplementation for the management of neonatal hypoglycemia with transient hyperinsulinism.

Light is not only a primary energy source, but it is also one of the environmental factors that affect plant growth and development. Common bean (Phaseolus vulgaris L.) is commonly produced in association with maize as subordinate intercrops in the Sidama region. Under such a production system, the shade effect may limit the photosynthetic and nitrogen-fixing capacity of common beans. The objective of the current study was to assess how inoculation and shade affect the ability to fix nitrogen and yield components of common beans. Three common bean varieties (Hawassa dume, Nassir, and Ibbado), two shade levels (open and 25% shade) as well as two levels of inoculation (uninoculated and inoculated) were used for these purposes. The experiment was set up in factorial randomized complete block design (RCBD) in four replications. In this experiment, Rhizobium inoculation and shade significantly (p < 0.05) affected the number of pods plant-1 and the number of seeds pod-1. The inoculated treatment produced the maximum number of pods plant-1 (14.02) and the lowest number of pods plant-1 (10.95) was obtained from uninoculated treatments. The results also showed that the inoculated Hawassa dume variety from the open treatments derived the maximum percentage of N from N2 fixation, whereas the non-inoculated Ibbado variety from the 25% shade treatments derived the lowest percentage of N. Common bean grown on full light had significantly greater N content than shade.

One of the most important emerging pollutants is pharmaceutical active compounds, which may be responsible, for example, for ecotoxicological changes and microbiological resistance. Wastewater treatment plants are not adequately equipped to remove all of the emerging pollutants contained in the wastewater. The ultrafiltration process has been proven to be effective in traditional wastewater treatment, so it is important to assess the performance of such a technique in the partial elimination of pharmaceutical compounds to avoid contamination. In this work, an assessment of ultrafiltration process operating conditions for eliminating six pharmaceutical compounds: Ibuprofen, Acetaminophen, Naproxen, Diclofenac, Caffeine, and trimethoprim, present in different types of water is performed. Experimental design is a systematic and structured approach to conducting experiments, and its application can significantly improve the study of membrane technology, reducing the number of assays necessary to obtain meaningful results. The statistical principles application ensures that the results obtained are reliable and representative of the true effects of the variables being studied. Its application helps to obtain valid conclusions from the data and provides a solid basis for making decisions or recommendations regarding the tests and variables to take into account. Membrane processes can involve complex interactions between several factors. Experimental design helps to identify and understand these interactions, allowing researchers to discern the combined effects of different variables. This is crucial to accurately predict and optimize membrane performance.In this work, ANOVA analysis has been carried out in order to determine the influence of membrane cut-off, solution pH, and feed concentration, as well as their interactions, in permeate flux and the rejection index. The results obtained show similar behavior for Ibuprofen, Naproxen, Diclofenac, and Trimethoprim, being the pH the most important factor. However, no significant factors were found for the acetaminophen and the Caffeine.

Introduction: Acute lower respiratory infection (ALRI) of viral etiology is a frequent consultation in pediatrics. Post-infectious bronchiolitis obliterans (PIBO) is a rare and potentially severe disorder following ALRI, characterized by partial or complete obstruction of the small airways by inflammatory tissue. There is evidence that macrolides reduce morbidity and mortality in diffuse panbronchiolitis, which may have similar inflammatory and obstructive components.We hypothesized that the effect of azithromycin (AZ) may improve lung function and reduce pulmonary exacerbations in PIBO.MethodsStudy design: A double-blind, randomized, placebo-controlled trial.Patients: We enrolled patients with PIBO followed-up at the Pulmonology department between 5 years to 18 years.Treatment regimen: The patients were randomized to receive active drug or placebo three times a week. Clinical evaluation: Clinical evaluation, pulse oximetry, lung function, and 6-min walk test were performed before and after study initiation and at 1, 3, and 6 months.CT scan and a quality of life questionnaire were performed at the beginning and the end of the Study.Results: 29 patients, 15 in G1 (10 males) and 14 in G2 (7 males) were included.There were no significant differences in FVC, FEV1, TLC, RV, or sGaw between the treatment group and controls. In addition, no significant differences were observed in exacerbations, quality of life questionnaire, or HRCT scan scores.Conclusion: No differences were observed between the groups. Further studies are necessary to allow us to find a better treatment, as azithromycin does not seem to be efficacious.

Introduction: The current gold standard for SARS-CoV-2 diagnosis by real-time RT-PCR has limitations of gene numbers that can be detected. In this study, we developed a low-cost and high-throughput next-generation sequencing technology that can overcome the limitations of RT-PCR. Methodology: A targeted sequencing panel (TSP) consisting of approximately 500 amplicons was designed that can simultaneously detect a broad range of gene loci of SARS-CoV-2 and genes for the most common viruses of respiratory infectious viruses in a single run of up to 96 samples. 448 samples and 31 control samples were examined independently with both TSP and RT-PCR, results were compared for accuracy and other indicators. Results:  TSP identified 50 SARS-CoV-2 positive samples with a 99.33% match to RT-PCR results. It is not surprising that TSP also identified multiple viral infections from 96 samples, whereas RT-PCR could not. TSP demonstrated its ability to conclude diagnosis for those undecided from RT-PCR tests. Conclusion: Our data demonstrated that TSP is a fast and accurate test for detecting multiple pathogen infections of the respiratory tract.

The aging global population requires a new social model to meet the growing social, economic, and physical needs of seniors. Western social models need to be reconsidered in light of examples that support communal ways of living, which are sustainable through smart city design for more supportive geriatric care systems. To address the complex problems of geriatric care in this growing aging population with specific needs related to increased lifespan and limited financial resources, the use of emerging technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), should be considered. As retirement ages rise and funds for retirement continue to decrease automated and sustainable solutions need to be sought. The ethical need to consider citizens not as customers but as decision-makers and to validate the ethical nature of medical decisions made for and by individuals should also be prioritized. This study provides recommendations for a smart city design and highlights the need for reflection on the ethics, modernization, and management of geriatric care. It suggests that technological devices can benefit health system reform by facilitating problem-solving. Overall, this new model integrates communal living and non-Western values with emerging technologies to address the growing need for geriatric care and the well-being of seniors.

Cells have emerged as highly promising vehicles for delivering drugs due to their unique advantages. They have the ability to bypass immune recognition, navigate biological barriers, and reach difficult-to-access tissues through sensing and active movement. Over the past couple of decades, extensive research has been conducted to understand how cell carriers can overcome biological barriers and influence drug effectiveness. This has resulted in the development of engineered cells for targeted drug delivery to specific tissues. Despite the presence of exciting developments, a comprehensive understanding of the challenges and potential strategies is necessary for the effective clinical application of cell-based drug carriers. This review provides an overview of recent progress and novel concepts in cell-based drug carriers, as well as their potential for translation into clinical practice. Additionally, we delve into important factors and emerging strategies for designing the next generation of cell-based delivery technologies, with a particular emphasis on achieving greater accuracy and targeted drug administration.

Purpose: The role of healthcare workers in cervical cancer prevention is pivotal because healthcare workers’ recommendations have been reported to be a key motivational factor for cervical cancer screening among women in Nigeria. Assessing their knowledge, attitudes, and practices on cervical cancer prevention is necessary.Patients and methods: This is a cross-sectional survey involving healthcare workers in Ekiti State, Nigeria. A questionnaire designed for the study was used to obtain data about the knowledge, attitudes, and practices of the healthcare workers. Logistic regression was used to assess the determinants of practice and a p - value of less than 0.05 was taken as statistically significant.Results: Out of 188 participants that completed the study, 165(90.7%) had good knowledge about the prevention of cervical cancer while 24(13.2%) had good practice concerning the prevention of cervical cancer. positive attitude (Odds ratio 1.24, 95% CI 1.14 - 1.35, p < 0.001) increased the odds of good practice.Conclusion: There was no association between the knowledge of cervical cancer prevention and the practice of the healthcare workers. Further research is required to explore the incongruence between knowledge and practice of cervical cancer prevention and its practice.

Aim: A descriptive-analytical study was done to assess the proportion of the risk of stroke among male patients attending the outpatient department of a tertiary care hospital, in Ernakulam District, Kerala. Objectives: The objectives of the study were to assess the proportion of the risk of stroke among male patients attending outpatient departments and to determine the association of stroke risk level with socio-personal variables. Methods: The research approach of the study is a quantitative approach. The research design selected for the study is a descriptive-analytical design. The convenience sampling method was used for sample selection. The study was done in MOSC Medical College Hospital, Kolenchery among 288 male patients who met the inclusion criteria. Data collection was done using socio-personal proforma and stroke risk scorecards. Results: Collected data were analysed by using descriptive and inferential statistics presented in tables and pie diagrams. The study findings revealed that out of 288 subjects, 43.4% have low stroke risk, 13.9% are in caution and 42.7% have high stroke risk. The findings also revealed that there is a significant association of stroke risk level with age, education, occupation, BMI and place of residence. Statement of the problem: Proportion of risk of stroke among male patients attending outpatient department of a tertiary care hospital, Ernakulam district, Kerala. Proportion of risk of stroke among male patients attending outpatient department of a tertiary care hospital, Ernakulam district, Kerala.

Introduction: Hypoglycemia affects patient safety and glycemic control during insulin treatment of both type 1 (T1DM) and type 2 diabetes mellitus (T2DM). It is still a major clinical problem in the treatment of type 1 diabetes that impairs metabolic control. This study aimed to assess hypoglycemia and associated factors among type 1 diabetes mellitus patients attending the outpatient clinics of Debra–Tabor Comprehensive and Specialized Hospital, in 2021.Method: institutional-based cross-sectional study design was conducted among 204 selected type I DM, from June 1/2021 to August 30/2021. The study participants were selected by systematic sampling method from monthly follow-up lists and lists of registration. Data were cleaned and entered into Epi Data and then exported into SPSS version 20 for analysis. Data were presented with texts, graphs, diagrams, and tables but an analytic form of findings will be presented by text form of the odds ratio. Bivariable and multivariable binary logistic regression models were fitted to identify factors associated with hypoglycemia p – value < 0.05 was considered statistically significant and reported as a 95% confidence interval (CI).Results: A total of 204 participants participated with a response rate of 100%, and prevalence of self-reported hypoglycemia was 88.7% (95%, CI: 83.8-92.6) and the prevalence of hypoglycemia was significantly associated with occupation [AOR: 4.01 (95% CI:1.86-9.35)], higher educational status [AOR: 2.13 (95% CI:1.92-13.15)], diabetic duration < 1 [AOR: 3.80 (95% CI:1.32-9.28)], poor knowledge [AOR: 4.91 (95% CI:1.09-11.06)] and favorable attitude [AOR: 5.86 (1.10-6.07)]. The current study revealed that the knowledge, attitude, and practice of respondents were 81.9% (95%, CI, 76-86.8), 73% (95% CI, 66.7-78.9), and 91.2% (95% CI, 86.8-94.6) respectively.Conclusion and recommendation: Hypoglycemia was highly prevalent among diabetic patients treated at Debra-Tabor Comprehensive and Specialized Referral Hospital. To reduce the higher prevalence of hypoglycemia the health professionals working in the hospital had better provide appropriate patient advice about, BGL monitoring, medication adherence, self-injection as well as oral hypoglycemic agent administrations.

The burden of sexually transmitted infections (STIs) continues to increase with over one million curable STIs occurring daily worldwide. Sex disparity in the rates of testing for STIs can compromise the efforts to reduce the incidence of STIs. The study aimed to explore the barriers to facility-based screening for STIs among men in Ghana. A qualitative exploratory design was employed in this study. Using a semi-structured interview guide, individual in-depth interviews were conducted among purposively sampled men from November 2019 to January 2020. Data saturation was achieved at the ninth participant. Audio-recorded interviews were transcribed verbatim and analysed thematically through Braun and Clarke’s approach. Four themes emerged from the analyses: (1) lack of privacy from healthcare providers, (2) mistrust of healthcare providers, (3) the burden of handling thoughts of positive status, and (4) fear of stigmatisation. These barriers deterred men from seeking clinic-based screening for STIs. The barriers were multi-factorial and a major hindrance to ensuring that people are aware of their STI status through screening and diagnosis. It is imperative to consider these barriers when designing STI screening interventions and policies to help promote facility-based screening for STIs among men in Ghana.

Artificial Intelligence (AI) combined with Synthetic Biology has the potential to change the way we approach medicine, agriculture, and manufacturing. AI automates tasks, optimizes experimental designs, and predicts biological behaviours, resulting in more efficient design and engineering of biological systems. However, there are challenges such as data limitations, interpretability issues, and ethical considerations like biosafety and biosecurity concerns that need to be addressed. AI can be used to analyze vast amounts of data and identify patterns. This has led to successful applications of AI in high-throughput screening and biomanufacturing, which can drive innovation and address critical challenges. AI-powered closed-loop systems for real-time monitoring and control of biological processes also show promise in providing real-time feedback and optimizing systems on the fly. Despite these advancements, it's important to consider ethical implications to ensure the responsible development and application of AI in synthetic biology. Proper consideration of challenges and ethical considerations can help leverage the power of AI to drive innovation and tackle pressing societal challenges. Overall, the potential of AI in synthetic biology is significant. By addressing challenges and ethical considerations, we can use them effectively to solve pressing problems.

The genesis of the youth Community Health Worker (CHW) and Citizen/Community Science (CS) training is rooted in interdisciplinary research and the lived experiences of families in Chicago and Urbana-Champaign. Dr. Mendenhall and colleagues’ (Drs. Robinson, Roberts and Rodriquez-Zas) South Chicago’s Black Mothers’ Resiliency Project provide dinsights into Black women’s experiences with genomics, trauma, and community science. Black women’s testimonies highlighted the health impacts of living in neighborhoods with high levels of gun violence and the resilience strategies they employ. This led to the development of a youth-centered CHW and CS training program, aimed at addressing health disparities. The program trained high school students and young adults (up to age 24) as CHWs and CSs, focusing on the objectives of (1) embedding culturally competent health workers in marginalized communities; (2) amplifying community voices; (3) collecting, analyzing, and quantifying observational data to inform policy decision-making; (4) amplifying community voices in healthcare discussions and (5) creating community health care worker training certification for youth. Over three years, the program trained over 50 participants, incorporating elements of wellness, art, and entrepreneurship.Based on ethnographic notes participants reported increases in wellness such as reduced anxiety and increased empowerment. The program’s long-term goals include creating employment opportunities for graduates and contributing to improved community health outcomes. This initiative represents a step towards addressing racial trauma and promoting community healing through youth-led innovation and empowerment.

Compacted bentonite or sand-bentonite mixtures are considered buffer/backfill materials in the engineering barriers of deep geological repositories for high-level nuclear waste (HLW) disposal in many countries. The design and long-term functionality of nuclear repositories have critical importance for environmental safety and public health. The initially unsaturated buffer material could become re-saturated long after following the sealing of the repository. Although the saturation degree of the buffer might decrease due to high temperatures and evaporation, it tends to increase with groundwater intrusion. Therefore, the soil water characteristic curves (SWCCs) for these unsaturated soils are a key factor in geotechnical engineering. Yet, the determination of SWCCs can be time-consuming and prone to inaccuracies. The HYPROP (Hydraulic Property Analyzer) evaporation technique is a preferred method for accurately determining water retention curves of soils. This reliable method was applied to estimate the water retention curves for sand-bentonite mixtures in the presence of boron minerals. Known for their minimal thermal expansion and commonly used in various industries, boron minerals may improve the thermal stability of sand-bentonite mixtures. The findings revealed that the boron addition increased the water retention capacity of the 10% bentonite mixtures but had a negligible impact on the 20% bentonite mixtures.

Additive manufacturing, commonly known as 3D printing, is revolutionizing the field of biomedical engineering by enabling the creation of custom implants tailored to individual patient anatomy. This technology uses digital design files to layer-by-layer build structures from various materials, including biocompatible metals, polymers, and ceramics. In medical applications, this precision allows for the creation of implants that closely match the contours and geometries of a patient’s unique anatomical features, offering improved fit, functionality, and comfort compared to traditional, mass-produced implants. The potential benefits extend beyond just enhanced patient outcomes. With additive manufacturing, healthcare providers can reduce surgical times by designing implants that require minimal intraoperative modification. Moreover, the flexibility of this technology facilitates rapid prototyping and iterative design, enabling healthcare professionals to collaborate with engineers in refining implant designs before they are used in surgery. This iterative approach is particularly useful in complex cases, such as craniofacial reconstruction, where conventional implants may not adequately address the intricacies of a patient’s skeletal structure.

Background: Maternal mortality is a very sensitive indicator of our health system and services. Epidemiological data about maternal mortality is a vital requirement in every setting not only to design interventional programs but also to identify gaps in the existing structures, to reduce the ratio favorably. This study was an attempt to shed light on the mortality rate in our hospital, to analyze the epidemiological aspects, causes of maternal mortality, and types of delay, and to suggest recommendations for improvement. Methods: A retrospective study was done at a tertiary care center at the district level from January 2022 to December 2022. Demographic data and details of selected parameters were obtained from maternal death review forms and case records. Data analyzed and presented.Results: The majority of the maternal deaths could be attributed to direct obstetric causes like Eclampsia (29.41%), Pre-eclampsia (20.59%), and anemia (20.59%) followed by hemorrhage (14.71%), and septicemia (11.76%). Medical conditions contributing to death included liver disorders (5.8%), COVID-19 infection (5.8%), and cardiac disorders (2.9%). Conclusion: It is evident that the maternal mortality ratio is significantly high, with a majority of the deaths occurring due to avoidable causes. Leading contributory factors were due to delay in seeking help or delay in referral. High-risk cases must be identified at the earliest and referred to higher centers for management from the first trimester itself. Generating awareness among the common public and counseling the gravidas and their caretakers throughout pregnancy is equally important to prevent maternal mortality and near-miss cases.

The article deals with such issues as storage of industrial waste, causes, examples and prevention of accidents, NGO operation and reclamation, and methods of dealing with the consequences of accidents. When storing industrial waste in large volumes, various complications arise, including accidents in waste storage facilities. The article provides examples of accidents for specific objects and analyzes their causes and consequences. The methods of dealing with the consequences of accidents and their prevention are considered. The materials of the article can help specialists improve the design and operation of waste storage facilities.

The mainstays of nuclear substance radiation and isotopic synthesis are nuclear-powered power plants, however effective safety evaluation is made tougher by the complicated construction topologies and physical connection effects. This work proposes a multiphysics-linked technique for evaluating both the kinetic and steady-state behaviors of the MPRR and LVR-15 laboratory reactors. To represent complicated member geometries, homogenized assembling sections are generated using two-dimensional whole-core computational simulations. It is discovered that the steady-state findings and the so-called Monte Carl solution comparisons correspond quite nicely. The greatest assemble power mistakes for LVR-15 and MPRR are 6.49%/10%, and the highest command rod value mistakes are 31 pcm/136 pcm, and the mistakes are 377 pcm/383 pcm, accordingly. Meanwhile, the study is done on transitory procedures, such as reactivity-initiated disasters and exposed loss-of-flow mishaps. Both units' modeling findings show plausible adverse feedback events. Furthermore, it is shown that the two reactors' accident-related behaviors are comparable though having different core architectures since they employ the exact same kinds of water as a fluid. The technique for studying nuclear power plant kinetics known as Multi-Physics Simulation (MPM) is explained. Drawing on many research and verification efforts conducted at Politecnico di Milan, Italy, MPM is shown to be a valuable instrument for managing reactors' security and oversight. It may be viewed as a holistic analytical tool that is implemented during the reactor architecture design phase. The capacity to concurrently answer the interrelated equations that control the many physical processes taking place in a nuclear plant inside the same simulated setting is a core characteristic of MPM.

Background: Stillbirth (SB), either because of intrauterine or intrapartum fetal death, is amongst the most devastating pregnancy complications, hardest to predict, real challenge for health systems. India probably accounts for the highest SB numbers in the world.Objectives: A community-based prospective study was carried out to know the burden, and causes of SBs in rural women of remote region.Material methods: After approval of the ethics committee of the Institute in Maharashtra for broader research, which was service-oriented, the present study was conducted in 100 villages around the village with health facilities. These villages were included keeping in mind future services. After obtaining the consent of women, information was prospectively recorded on their predesigned tool (which was for broader work), by asking women and seeing their records of antenatal and intranatal care on a regular basis. The study subjects were selected after obtaining information from nurse midwives, Accredited Social Health Activists (ASHAs), and Aaganwadi workers. As the plan was to serve, there was excellent cooperation. The tool was made for broader work. Villages were visited 5 days a week. Study was community-based in villages in remote, hilly region with various local issues so any information the women gave conclusion and was in the record was used.Results: A total of 3905 births occurred over two years, 3635 (93%) term, and 270 (7%) preterm. Amongst 3635 term births, 3474 (95.6%) were live births, 161 (4.4%) SBs, amongst 270 preterm births, 239 (88.5%) were live births, 31 (11.5%) SBs. Of 192 SBs, 48 (7.2%) SBs were amongst 2690 women with anaemia, (16 (2.4%) SBs amongst women with very severe anaemia, 12 (1.8%) SBs were amongst 667 women with severe anaemia, 12 (1.8%) SBs were amongst 664 women with moderate anaemia, 8 (1.2%) SBs were amongst 680 women with mild anaemia). Overall of 192 (4.9%) SBs, 31 (18.1%) SBs were among 517 women with hypertensive disorders of pregnancy (HDsP) 8 (4.4%) SBs amongst 280 women with moderate HDsP, 12 (6.9%) SBs amongst 175 women with severe HDsP, 11 (6.8%) SBs in 62 women with eclampsia. Overall of 192 SBs, 6 (3.1%) babies had weight < 1 kg, 8 (4.1%) of ≥ 1 to < 1.5 kg, 50 (26.0%) ≥ 1.5 to < 2 kg, 64 (33.3%) ≥ 2 to < 2.5 kg, 64 (33.3%) 2.5 kg and more, obviously fewer babies more deaths in birth weight less than 1. 5 kg, more so less than 1 kg.Conclusion: Overall SBs were in women with disorders but 4.5% SBs did occur in women with no disorder. SBs were significantly higher amongst babies weighing less than 1 kg, beyond this weight, numbers were similar.

Aim: To evaluate the effectiveness of an ayurvedic gel in tooth pain reduction due to dental caries. Materials and methods: This in vivo cross-over design study enrolled adults with at least one tooth with caries and a symptom of pain after the application of an ice stimulus. Two hundred patients were screened and eligible patients were enrolled in the study. Forty-five subjects completed washout phases before each recall visit. During each recall visit, subjects evaluated pain relief following an ice bar stimulus and one random finger-tip application of a treatment i.e. Ayurveda Herbal gel containing clove oil, camphor, and menthol (Ayurveda Herbal Gel Group), and two control formulations: a gel without active ingredients and commercial olive oil as a surrogate of home remedy. At each assessment, subjects used a stopwatch to record the onset of pain relief and tooth pain using visual analog scores (VAS), dental pain scores (DPS), and relief from tooth pain by dental pain relief scores (DPRS). After each treatment, subjects recorded their satisfaction with the provided treatment using a four-point satisfaction index. Data were tabulated and statistical analysis was performed with (ANCOVA) and two-way ANOVA with a p - value of 0.05 considered statistically significant. Results: Forty-five subjects (28 males and 17 females) completed the entire study without any adverse events. Application of the Ayurveda gel resulted in a significantly faster onset of pain relief (2.47 min) in comparison to the onset of pain relief after 4 minutes recorded with the controls (p < 0.05). Subjects reported lower VAS and DPS scores over the study period of evaluation when using the Ayurveda gel compared to the application of each control formulation. Subjects also reported greater relief of pain and greater satisfaction after the application of the Ayurveda gel as compared to the controls. Conclusion: Significantly better tooth pain relief from caries was observed from an Ayurveda Herbal gel than from controls.