T-test P-value Research Articles

6471 Adult Height in Male Survivors of Childhood Cancer Treated with Aromatase Inhibitors and Growth Hormone

Abstract Disclosure: N.I. Pollock: None. M. Song: None. A. Wolf: None. Y. Li: None. C. Hawkes: None. N. Motamedi: None. M.R. Denburg: None. S. Mostoufi-Moab: None. Title: Adult Height in Male Survivors of Childhood Cancer Treated with Aromatase Inhibitors and Growth Hormone Objectives: Aromatase inhibitor (AI) therapy in combination with growth hormone (GH), or as monotherapy, may have a role in improving height outcomes in male pediatric patients with GH deficiency (GHD). The effectiveness of AI therapy in the childhood cancer survivors is not known. In this retrospective study, we assess adult height (AH) in childhood cancer survivors treated with AI combined with GH therapy compared to those treated with GH alone. Methods: This was a single center retrospective cohort study of male survivors of childhood cancer treated with GH for diagnosis of GHD between 2007 and 2023. We compared AH outcomes in males treated with GH alone or in combination with off-label use of AI. Demographic and clinical characteristics, including anthropometric measurements, endocrinopathies, and cancer history, were obtained from the medical record. AH was noted as height documented at fusion of growth plates or following 18 years of age. Differences in demographic, clinical, and treatment characteristics were assessed using univariate tests of association. Multivariable regression with stepwise selection was used to examine risk factors associated with AH. All statistical analyses were performed using Stata 18.0. Results: Ninety-two patients were included; 70 were treated with GH monotherapy and 22 with combination AI/GH. Median age at AI initiation was 13.6 years (IQR 12.3-14.3) versus 11.2 years (IQR 8.6-12.9) for GH (unpaired t-test p-value <0.01; 95% CI -4.01, -1.91). A greater proportion of patients in the AI/GH group had been treated with stem cell transplantation, abdominal radiation, total body irradiation, and cis-retinoic acid (Fisher’s exact p-value <0.01). There was no statistically significant difference in AH or AH Z-score between treatment groups, with the median AH Z-score in the AI/GH group -1.95 (IQR -3.11, -0.75) versus -1.39 (IQR -2.65, 0.11) in the GH group. In multivariable linear regression, history of radiation to the spine (β= -5.9, 95% CI -11.2, -0.6), height Z-score (β= 0.3, 95% CI 0.11, 0.46), BMI Z-score (β= 3.2, 95% CI 0.95, 5.5), and advanced bone age at GH or AI treatment initiation (β= -10.1, 95% CI -17.3, -2.9) were significantly associated with AH. Conclusions: Adjunctive treatment with AI and GH was not associated with increased AH outcomes in male survivors of childhood cancer compared to GH monotherapy. Future work is needed to determine optimal adjunctive medical therapy to maximize FAH impacted by cancer therapy for this patient population. Presentation: 6/3/2024

Predicting Gait Speed Improvement in Idiopathic Normal Pressure Hydrocephalus Patients: The Role of Evans Index and Ventricular Volume.

Objective This study aims to investigate the association between specific imaging parameters, namely, the Evans index (EI) and ventricular volume (VV), and the variation in gait speed observed in patients with idiopathic normal pressure hydrocephalus (iNPH) before and after cerebrospinal fluid (CSF)removal/lumbar drain (LD). Furthermore, it seeks to identify which imaging parameters are the most reliable predictors for significant improvements in gait speed post procedure. Methods In this retrospective analysis, the study measured the gait speed of 35 patients diagnosed with idiopathic normal pressure hydrocephalus (iNPH) before and after they underwent CSF removal. Before lumbar drain (LD), brain images were segmented to calculate the Evans index and ventricular volume. The study explored the relationship between these imaging parameters (the Evans index and ventricular volume) and the improvement in gait speed following CSF removal. Patients were divided into two categories based on the degree of improvement in gait speed, and we compared the imaging parameters between these groups. Receiver operating characteristic (ROC) curve analysis was employed to determine the optimal imaging parameter thresholds predictive of gait speed enhancement. Finally, the study assessed the predictive accuracy of these thresholds for identifying patients likely to experience improved gait speed post-LD. Results Following CSF removal/lumbar drain, the participants significantly improved in gait speed, as indicated by a paired sample t-test (p-value = 0.0017). A moderate positive correlation was observed between the imaging parameters (EI and VV) and the improvement in gait speed post-LD. Significant differences were detected between the two patient groups regarding EI, VV, and a composite score (statistical test value = 3.1, 2.8, and 2.9, respectively; p-value < 0.01). Receiver operating characteristic (ROC) curve analysis identified the optimal thresholds for the EI and VV to be 0.39 and 110.78 cm³, respectively. The classification based on these thresholds yielded significant associations between patients displaying favorable imaging parameters and those demonstrating improved gait speed post-LD, with chi-square (χ²) values of 8.5 and 7.1, respectively, and p-values < 0.01. Furthermore, these imaging parameter thresholds had a 74% accuracy rate in predicting patients who would improve post-LD. Conclusion The study demonstrates that ventricle volume and the Evans index can significantly predict gait speed improvement after lumbar drain (LD) in patients with iNPH.

Implementing a research methods curriculum for first year hematology oncology fellows.

9034 Background: The Hematology/Oncology Fellowship Program at the University of Alabama at Birmingham is an ACGME accredited, three-year academic training program. Fellows are expected to participate in at least one mentored research project during their second and third years of training. The program, however, did not provide formal training in research methods. Here, we provide the results of implementing a research methods curriculum for first year fellows to fulfill that educational need and to facilitate engagement in research projects throughout their fellowship training. Methods: We developed a structured curriculum composed of 10 didactic sessions covering the fundamental concepts of epidemiology and biostatistics. Based on the core competencies of research methods, learning objectives integrated concepts of 1) study design; 2) identifying bias and confounding; 3) exploratory data analysis, statistical inference, hypothesis testing; and results interpretation; and 4) critical appraisal of research evidence. The course was designed to promote self-directed learning and build on individual experiences and interests. One-on-one meetings between curriculum faculty and fellows facilitated identification of fellow research interests and pairing with mentors with aligned expertise. The didactic sessions were evaluated using a 21 question pre- and post- knowledge assessment. Fellows also self-rated on a 10-point scale their level of confidence performing research related activities. Following the course, fellows were expected to complete at least i) one research project, present it at a scientific meeting and submit for publication in peer-reviewed journal; and/or ii) one research proposal grant application. Results: To date, 13 first-year fellows across three cohorts have participated in the course, two of which have been completed, and the third will conclude in March 2024. Complete pre- and post- assessment scores were available for 8 fellows. Mean score difference was statistically significant comparing pre- to post- knowledge scores (3.79 points (SD= 4.43), paired t-test p-value=0.02). Self- ratings improved across all components on average from 3.7 pre- to 6.5 post-course (p&lt;0.001). The largest change in self-ratings were in understanding study design concepts, basic principles of research and critical appraisal, followed by interpreting statistical outputs. All fellows are leading at least one mentored research project and 7 out of 8 fellows have presented abstracts at national meetings including the American Society of Clinical Oncology and the American Society of Hematology. Conclusions: Implementing a dedicated research methods curriculum to clinical fellows is feasible, and improved learner knowledge, skills, and engagement in research activities. Research methods principles can be effectively incorporated into the first year of clinical fellowship training.

KEMAJUAN PERSALINAN DENGAN MENGGUNAKAN BIRTH BALL PADA IBU BERSALIN PRIMIGRAVIDA DI PMB RENNY INDAH SARI

Background: One of the complications of childbirth that contributes to maternal and infant mortality is prolonged labor. The survey results found that prolonged labor can cause emergencies is mothers and babies. Birth ball is a physical therapy ball that helps mothers in labor during the first stage of labor Purpose: To find out the effect of birth balls on the progress of labor in promigravida mothers at PMB in 2023 Method: The research method used is Quasi Experiment. Data collection used total sampling with a sample of 30 mothers giving birth. By using a static group comparison research design or static group comparison where this design applies treatment or intervention (X) followed by a second measurement or observation. The results of the onservations in the control group, which did not receive the intervention Result: The results of this study showed that the average progress of labor in the intervention group was 292.33 minutes, and in the control group the average progress of labor was 419 minutes. Conclusion: The conclusion of this study is that there is an effect of the birth ball on the progress of labor in primigravida mothers in the first active phase as evidenced by the t-test p-value 0,000&lt;0,5.

Hepatic and portal vein segmentation with dual-stream deep neural network.

Liver lesions mainly occur inside the liver parenchyma, which are difficult to locate and have complicated relationships with essential vessels. Thus, preoperative planning is crucial for the resection of liver lesions. Accurate segmentation of the hepatic and portal veins (PVs) on computed tomography (CT) images is of great importance for preoperative planning. However, manually labeling the mask of vessels is laborious and time-consuming, and the labeling results of different clinicians are prone to inconsistencies. Hence, developing an automatic segmentation algorithm for hepatic and PVs on CT images has attracted the attention of researchers. Unfortunately, existing deep learning based automatic segmentation methods are prone to misclassifying peripheral vessels into wrongcategories. This study aims to provide a fully automatic and robust semantic segmentation algorithm for hepatic and PVs, guiding subsequent preoperative planning. In addition, to address the deficiency of the public dataset for hepatic and PV segmentation, we revise the annotations of the Medical Segmentation Decathlon (MSD) hepatic vessel segmentation dataset and add the masks of the hepatic veins (HVs) andPVs. We proposed a structure with a dual-stream encoder combining convolution and Transformer block, named Dual-stream Hepatic Portal Vein segmentation Network, to extract local features and long-distance spatial information, thereby extracting anatomical information of hepatic and portal vein, avoiding misdivisions of adjacent peripheral vessels. Besides, a multi-scale feature fusion block based on dilated convolution is proposed to extract multi-scale features on expanded perception fields for local features, and a multi-level fusing attention module is introduced for efficient context information extraction. Paired t-test is conducted to evaluate the significant difference in dice between the proposed methods and the comparingmethods. Two datasets are constructed from the original MSD dataset. For each dataset, 50 cases are randomly selected for model evaluation in the scheme of 5-fold cross-validation. The results show that our method outperforms the state-of-the-art Convolutional Neural Network-based and transformer-based methods. Specifically, for the first dataset, our model reaches 0.815, 0.830, and 0.807 at overall dice, precision, and sensitivity. The dice of the hepatic and PVs are 0.835 and 0.796, which also exceed the numeric result of the comparing methods. Almost all the p-values of paired t-tests on the proposed approach and comparing approaches are smaller than 0.05. On the second dataset, the proposed algorithm achieves 0.749, 0.762, 0.726, 0.835, and 0.796 for overall dice, precision, sensitivity, dice for HV, and dice for PV, among which the first four numeric results exceed comparingmethods. The proposed method is effective in solving the problem of misclassifying interlaced peripheral veins for the HV and PV segmentation task and outperforming the comparing methods on the relabeleddataset.

The Importance of Variety and Regional Identity on the Dextrin-Reducing Enzymatic Activity of Cascade and Mosaic® Hops Grown in Washington and Oregon

This study analyzed hops from 35 fields located in two states (Washington and Oregon) repeatedly over 2 harvest years (2020 and 2021) to determine the impact that hop variety and regional identity, or “terroir,” might have on hops’ dextrin reducing enzymatic potential. Cascade and Mosaic® hops were harvested, kilned, pelletized, and analyzed for dextrin-reducing enzymatic activity using a bench-top dry-hopping assay in a high-dextrin beer. In addition, data for 25 soil, 14 management, 13 climate, and 27 chemistry variables were collected and compared to the enzyme activity results from the bench-top dry-hopping assay. There existed a highly significant difference in enzymatic activity based on hop variety (two sample t-test p-value = 1.18 × 10−14) with Cascade hops being approximately 60% higher on average than Mosaic® hops regardless of growing region or harvest year. The soil and farm management variables also showed statistically significant interactions with enzymatic activity (p-values of 7.82 × 10−9 for Cascade and < 2 × 10−16 for Mosaic®), though there was little clarity with respect to the specific “terroir” variables that might relate to hop creep. Further research is needed to better understand causal interactions between farm, soil, climate, and management practices and dry-hop-induced dextrin-reducing enzymatic activity.

Abstract 6416: Early stage endometrioid endometrial cancer recurrence risk stratification using a machine learning RNA-seq gene expression signature

Abstract Endometrioid endometrial cancer (EEC) adjuvant therapy decisions rely on risk stratification using histology, grade, stage, and lymphovascular space invasion (LVSI). Recently, molecular classification systems originating from TCGA, evaluated in GOG-210 and PORTEC-3 defined four prognostic subtypes based on POLE, MSI-H/MMR-D, and p53 alterations. Although valuable, this molecular approach still has significant limitations such as applicability to the majority of EEC patients categorized as no-specific molecular profile (NSMP) and the potential need to resolve pathogenic and prognostic heterogeneity within MMR-D, and TP53 subtypes. These unmet needs were key motivators for Tempus to develop a molecular classifier predicting distant recurrence risk in early-stage EEC with a focus on high intermediate-risk (HIR) patients. The RNA-seq-based gene expression profiler (GEP) was trained using a machine-learning pipeline with TCGA data which resulted in a 24 gene signature that classifies EEC patients as molecular risk (MR) high or low (MR-high, MR-low). The GEP MR test was then evaluated on a de-identified cohort of EEC patients (N=1037) from Tempus to test associations with known pathologic or molecular prognostic features. The GEP-MR risk predictor showed significant enrichment of MR high-risk in G3 versus G1/2 histology (p-value &amp;lt; 5e-8). A high correlation was found between the MR score and copy number alteration score (t-test p-value &amp;lt; 1e-5). Next, a clinical evaluation was performed in an early-stage EEC case-control cohort of patients with documented recurrence or no recurrence event at four years (N=109), from Stanford. In the entire cohort, the MR-high group had a significantly higher rate of distant recurrence in comparison to the MR-low group (HR=4.8, N=109). Next, we performed a subgroup analysis in the clinically important HIR patients. In this subgroup, the MR-high group had a significantly higher rate of distant recurrence in comparison to the MR-low group (HR=8.0, N=56). Lastly, given the significance of genomic biomarkers in the evolution of EEC FIGO staging, we stratified outcomes by the established TCGA subtypes as a reference standard and performed a subgroup analysis in patients classified as having no specific molecular profile (NSMP). Among patients who were NSMP, the MR-high group showed a significantly higher rate of distant recurrence in comparison to the MR-low group (HR=7.92, N=67). These evaluation studies demonstrate the performance of the GEP MR test in early-stage EEC distant recurrence risk stratification, specifically HIR patients, necessitating further studies to validate the test for clinical use in informing adjuvant clinical management. Citation Format: Rafi Pelossof, Talal Ahmed, Seung Won Hyun, Chithra Sangali, Ben Terdich, Calvin Chao, Michael Toboni, Casey Cosgrove, Elizabeth Kidd, Brook Howitt, Timothy Taxter. Early stage endometrioid endometrial cancer recurrence risk stratification using a machine learning RNA-seq gene expression signature [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6416.

Abstract 4824: Multi-level intervention to increase minority cancer patient enrollment to clinical treatment trials- Study design considerations and baseline characteristics from the ACTWONDER2S Study

Abstract Introduction: Black/African American (AA) and Hispanic cancer patients are underrepresented in cancer clinical trials (CCTs). Disparities stem from multiple factors, thus, comprehensive, multi-level interventions (MLI) are needed. Presented here is a conceptual framework for selecting the appropriate study design for MLIs using ACTWONDER2S, a multi-level intervention (MLI) aimed to increase Black/AA and Hispanic patient participation into CCTs, as an illustrative example. Baseline characteristics of the ACTWONDER2S target populations are also provided. Methods: ACTWONDER2S integrates community health educator and digital tools into an MLI targeting community residents and physicians in the Moffitt Cancer Center (MCC) catchment area, as well as MCC patients, physicians and CCT coordinators. A literature review of the relative strengths and weakness of 5 candidate designs for MLIs was conducted, and a cluster stratified randomized design was selected. Geospatial analytics were used to identify clusters of census tracts (“priority zones”) with high Black/AA and Hispanic populations for intervention deployment. Baseline characteristics of the priority zones were described using US Census data and other sources. Results: 14 priority zones were identified, which were matched on population characteristics and randomized into intervention (n=7) and control (n=7) zones. There were no statistically significant differences between the intervention and control priority zones in total population size (paired t-test p-value=0.63), proportions of Black/AA (p=0.133) and Hispanic populations p=0.17), and distance (in miles) from MCC (p=0.64). Approximately 35.8% and 16.5% of the intervention priority zones were Hispanic or Black/AA, respectively. Average distance to MCC, cancer cases, referral and CCT enrollment rates were also similar between groups. Conclusion: Decision frameworks for MLI study design selection are lacking. The framework provided here for ACTWONDER2S can be applied to other studies seeking to evaluate MLIs. Furthermore, the randomization of the priority zones produced optimal target populations for testing the efficacy of the MIL within ACTWONDER2S. Citation Format: Dana E. Rollison, Rossybelle P. Amorrortu, Lindsay N. Fuzzell, Melany A. Garcia, Elliott S. Tapia-Kwan, Yayi Zhao, Steven A. Eschrich, Bob R. Gore, Brian S. Mittman, Nathanael B. Stanley, Susan T. Vadaparampil. Multi-level intervention to increase minority cancer patient enrollment to clinical treatment trials- Study design considerations and baseline characteristics from the ACTWONDER2S Study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4824.

The Effect of E-Booklet: CETING on Maternal Knowledge and Attitude Regarding Stunting at Integrated Health Posts for Toddlers in Gunung Wetan Village, Banyumas Regency

Background: The problem of short children (stunting) is one of the nutritional problems that is the focus of the Indonesian Government. Stunting is a condition of malnutrition that is related to nutritional deficiencies. Various efforts have been made to prevent stunting, one of which is health education using e-booklets. This research focuses on mothers' knowledge and attitudes regarding stunting prevention, because if health education is not provided, the stunting rate in Indonesia could increase. Method: This research is a quasi-experimental research with a pre-post-test without control group design. The research was conducted on 53 mothers who have toddlers aged under 2 years. The sampling technique used purposive sampling, the dependent variable was knowledge and attitude for the independent variable, the influence of ebooklets. Researchers used percentage and paired t-test analysis. Results: : The majority of respondents were aged 21-26 years, all of whom were female. At the education level, most of the respondents had elementary and junior high school education. The majority of the work of IRT respondents is 28 respondents. The average value of knowledge and attitudes after the intervention was good 29 has increased. while the average mother's attitude after the intervention was Good 25 increased. The p-value of the Paired T-test for knowledge is 0.001 and for attitude is 0.000. Conclusion: Ceting e-booklet media (preventing stunting) has an effect on efforts to increase mothers' knowledge and attitudes about stunting (0.000).

IMPACT OF ENGLISH SONG IN VOCABULARY LEARNING : A PRE-EXPERIMENTAL STUDY AT A JUNIOR ISLAMIC BOARDING SCHOOL

Pre-experimental design with one group pre-test and post-test was used in this study to determine whether there is any positive or negative effect on students' vocabulary mastery after they are taught using English songs. This study's instruments were a written vocabulary test and a field note. The researchers employed English songs combined with a Vocabulary self-collection (VSS) technique in the treatment to improve students' vocabulary acquisition. The mean pre-test score for 39 students in the eighth grade at an Islamic junior high school was 48,71, and the mean post-test score was 80, 89. The mean results of the pre-test and post-test demonstrated a significant improvement in students' vocabulary mastery. The t-test's p-value (sig-2-tailed) was 0.00, which is less than 0.05. This outcome indicated that Ho was refused but Ha was authorized. It was able to prove that gaining vocabulary in the eighth grade of an Islamic junior high school utilizing an English song and VSS had a positive impact on students' vocabulary mastery. The main teaching implication of this study is that when an English song is combined with specific teaching and learning objectives and supported by learning assessment through VSS, it might assist students in learning English vocabulary effectively.

Metabolic signatures and potential biomarkers of sarcopenia in suburb-dwelling older Chinese: based on untargeted GC–MS and LC–MS

BackgroundUntargeted metabolomics can be used to expand our understanding of the pathogenesis of sarcopenia. However, the metabolic signatures of sarcopenia patients have not been thoroughly investigated. Herein, we explored metabolites associated with sarcopenia by untargeted gas chromatography (GC)/liquid chromatography (LC)–mass spectrometry (MS) and identified possible diagnostic markers.MethodsForty-eight elderly subjects with sarcopenia were age and sex matched with 48 elderly subjects without sarcopenia. We first used untargeted GC/LC–MS to analyze the plasma of these participants and then combined it with a large number of multivariate statistical analyses to analyze the data. Finally, based on a multidimensional analysis of the metabolites, the most critical metabolites were considered to be biomarkers of sarcopenia.ResultsAccording to variable importance in the project (VIP > 1) and the p-value of t-test (p < 0.05), a total of 55 metabolites by GC–MS and 85 metabolites by LC–MS were identified between sarcopenia subjects and normal controls, and these were mostly lipids and lipid-like molecules. Among the top 20 metabolites, seven phosphatidylcholines, seven lysophosphatidylcholines (LysoPCs), phosphatidylinositol, sphingomyelin, palmitamide, L-2-amino-3-oxobutanoic acid, and palmitic acid were downregulated in the sarcopenia group; only ethylamine was upregulated. Among that, three metabolites of LysoPC(17:0), L-2-amino-3-oxobutanoic acid, and palmitic acid showed very good prediction capacity with AUCs of 0.887 (95% CI = 0.817–0.957), 0.836 (95% CI = 0.751–0.921), and 0.805 (95% CI = 0.717–0.893), respectively.ConclusionsThese findings show that metabonomic analysis has great potential to be applied to sarcopenia. The identified metabolites could be potential biomarkers and could be used to study sarcopenia pathomechanisms.

Efficacy of Vasantik Vaman Karma (Therapeutic Emesis) on Oxidative Stress Markers in Healthy VolunteersA Pilot Randomised Controlled Study

Introduction: Vamana karma is a therapeutic emesis procedure recommended for maintaining health in healthy individuals. It is said to be conducted during the Vasant rutu (spring season) and is referred to as Vasantik Vaman. During this season, there is an aggravation of Kapha dosha, which can lead to various diseases. The bio-purification of the body in Vasant rutu through the Vaman procedure helps to detoxify and rejuvenate the body. To make this practice evidence-based, the present study was planned to evaluate the efficacy of Vamana karma, which is also considered a shodhana karma, in reducing oxidative stress. Aim: To compare the efficacy of Vasantik Vamana karma on Malondialdehyde (MDA) and Superoxide Dismutase (SOD) levels as markers of oxidative stress in healthy volunteers, compared to a non interventional group. Materials and Methods: The present randomised controlled study was conducted in the Department of Kriyasharir, Mahatma Gandhi Ayurved College, Hospital and Research Centre, under the auspices of Datta Meghe Institute of Higher Education University, Wardha, Maharashtra, India, from March 2023 to April 2023 during the Vasant rutu. A total of 58 healthy individuals aged between 20 years and 40 years were sensitised regarding the procedure and benefits of Vasantik Vamana karma. After sensitisation, 30 volunteers who provided written consent for participation in the study were enrolled, examined and randomly divided into two groups: Group A (non interventional) and Group B (interventional). Both groups were assessed on the 0th day and the 15th day for oxidative stress markers, specifically free radicals (MDA) and antioxidant (SOD) levels. Statistical analysis was done using descriptive and inferential statistics, including Student’s paired and unpaired t-tests. Results: The mean±Standard Deviation (SD) age of participants was 21.23±0.37 years, with participation almost equal from both genders. Before the intervention, SOD and MDA levels were similar in both the control and interventional groups. After the intervention of Vasantik Vamana karma, Group B showed an increase in SOD levels and a decrease in MDA levels, which were statistically highly significant according to the paired t-test (p-value≤0.001) in comparison to the non interventional group. In the non interventional group, p-value=0.951 for SOD levels and 0.551 for MDA levels by paired t-test, which were not significant. When both groups were compared using an unpaired test, at pre-intervention, both groups were at the same level, but after the intervention, statistically significant results were observed in Group B (p-value≤0.001). Conclusion: The present study concluded that Vasantik Vamana karma, as a bio-purification process, Vasantik Vamana karma has proven to be highly effective in detoxifying the body by reducing oxidative stress in healthy volunteers.

THE EFFECT OF BOILED BETEL LEAVES AND BINAHONG BOILED WATER ON PERINEUM WOUND HEALING ON POSTPARTUM

Betel leaves (Piperbetlelinn) contain biochemical compounds that can kill bacteria and fungi and act as antioxidants to speed up the healing process. These substances include bethephenol, chavicol, sesquiterpene, hydroxivaikal, capitol, estrogen, eugenol, and carvarool. Binahong leaves are reported to contain active components of flavonoids, alkaloids, terpenoids, and saponins based on the results of research conducted. The active components of flavonoids work directly as antibiotics. The pharmacological properties of flavonoids include anti-inflammatory, analgesic, and antioxidant properties. The ascorbic acid contained in binahong can increase the body's defense against infection and help preserve mucous membranes. This research uses a quasi-experimental design with a post-test. The population in this study were postpartum mothers who gave birth between 0 and 7 days ago experiencing second-degree birth canal tears in the Karanganyar Community Health Center area. The sample for this study was 32 people, with one intervention group including 16 participants. The T-test using the Independent T-Test was used to analyze the data. After boiling the average perineal wound yield was 4.1250; The lowest and maximum levels of perineal injuries were 3 and 6 respectively. After consuming binahong boiled water, postpartum mothers in the Karanganyar Community Health Center area experienced an average of 2,750 perineal injuries, with 1 being the lowest and 4 being the highest. There was a difference in the effectiveness of drinking betel boiled water and binahong boiled water on the degree of perineal injury in postpartum women in the Karanganyar Community Health Center area after carrying out the Paired T-Test (p-value = 0.011). It is hoped that this research can help overcome postpartum mothers' complaints regarding perineal wounds. Keywords: Betel, Binahong, Perineal Wound

Indexing and segment-level mapping of soil quality in a spatially complex watershed in northern Iran.

Soil quality (SQ) modeling and mapping is a leading research field aiming to provide reproducible and cost-effective yet accurate SQ predictions at the landscape level. This endeavor was conducted in a complex watershed in northern Iran. We classified the region into spectrally and topographically homogenous land units (average area of 48 ± 23ha) using object-based segmentation analysis. Following the physicochemical analysis of soil samples from 98 stations, the Nemoro soil quality index (SQIn) was produced using the minimum dataset procedure and a non-linear sigmoid scoring function. SQIn values averaged 0.21 ± 0.06 and differed statistically between major land uses. To predict and map SQIn for each land unit, the best-performing regression model (F(3, 84) = 45.57, p = 0.00, R2 = 0.62) was built based on the positive contribution of the mean Landsat 8-OLI band 5, and negative influence of land surface temperature retrieved from Landsat 8-OLI band 10 and surface slope (t-test p-values < 0.01). Results showed that dense-canopy woodlands located in low-slope land units exhibit higher SQIn while regions characterized by either low-vegetation or steep-sloped land units had SQ deficits. This study provides insights into SQ prediction and mapping across spatially complex large-scale landscapes.

Construct validity of a dietary protein assessment questionnaire to explore college students' knowledge and attitudes towards dietary protein.

Misconceptions about dietary protein may exist due to unscientific information from commonly used sources such as social media. Understanding knowledge and attitudes towards protein is important for developing effective interventions to improve the dietary behaviors of U.S. college students. The objective of this study was to develop a questionnaire to evaluate college students' knowledge and attitudes towards dietary protein. The questionnaire had 64 questions, including 8 demographic, 24 knowledge, 14 attitude, and 18 behavior questions. Construct validity of the knowledge questions was assessed by performing known-group comparisons using an independent t-test. Exploratory factor analysis (EFA) with principal axis factoring and a promax rotation was used to evaluate the factor structure of the attitude questions. Four hundred seventy participants (87.3% female) provided responses for the attitude questions. Fifty-five nutrition and Fifty-one non-nutrition students provided responses for the knowledge questions. Three factors were retained: animal protein sources' relationship with human and environmental health (Factor 1); organic protein sources (Factor 2); and adequacy of the protein recommended dietary allowance (RDA) for weight loss and vegetarian diets (Factor 3). Mean knowledge responses were 66.4 ± 11.5% and 47.6 ± 16.4% for nutrition and non-nutrition students, respectively (t-test p-value for difference <0.001). Protein attitudes appear multidimensional and correlated. Further testing is needed to confirm the three-factor model and to assess temporal reliability.

The Application of Cognitive Linguistics Theory in Japanese Language Teaching in the Age of Artificial Intelligence

Abstract This paper firstly summarizes the tense expressions in Japanese, Chinese and English according to the cognitive linguistics theory so as to derive the grammatical transformation law in the process of Japanese to Chinese or Japanese to English. Secondly, on the basis of artificial intelligence technology, a hierarchical Japanese phrase model based on maximum entropy tense classification features is proposed, and the extraction of Japanese phrase rules is realized through maximum entropy mathematical modeling to obtain the model feature function and decoding strategy, and the application of the model in Japanese language teaching is explained in the research. Then, the second-year students of Japanese language major in the School of Foreign Studies, Nanjing University of Posts and Telecommunications are selected as the research objects, research tools and experimental process are determined, and simulation analysis and statistical analysis are used to analyze the example of Japanese language teaching with the integration of artificial intelligence. The results show that on the model, compared with the baseline, the model in this paper improves the blue value by 0.64%, the comprehensibility by 4.39%, and the tense accuracy by 4.14% on the whole test set, which verifies the effectiveness of the hierarchical phrase model fused with the tense features proposed in this paper in Japanese-Chinese translation. In terms of Japanese language teaching, the independent samples t-test p-values were less than 0.05, and the students in class A outperformed the students in class B in the four question types: multiple choice, sentence ordering, Chinese-to-Japanese translation and composition. This study improves students’ language proficiency and achieves the objective of developing high-quality talents.

Validation of Electrocardiogram Based Photoplethysmogram Generated Using U-Net Based Generative Adversarial Networks.

Photoplethysmogram (PPG) performs an important role in alarming atrial fibrillation (AF). While the importance of PPG is emphasized, there is insufficient amount of openly available atrial fibrillation PPG data. We propose a U-net-based generative adversarial network (GAN) which synthesize PPG from paired electrocardiogram (ECG). To measure the performance of the proposed GAN, we compared the generated PPG to reference PPG in terms of morphology similarity and also examined its influence on AF detection classifier performance. First, morphology was compared using two different metrics against the reference signal: percent root mean square difference (PRD) and Pearson correlation coefficient. The mean PRD and Pearson correlation coefficient were 27% and 0.94, respectively. Heart rate variability (HRV) of the reference AF ECG and the generated PPG were compared as well. The p-value of the paired t-test was 0.248, indicating that no significant difference was observed between the two HRV values. Second, to validate the generated AF PPG dataset, four different datasets were prepared combining the generated PPG and real AF PPG. Each dataset was used to optimize a classification model while maintaining the same architecture. A test dataset was prepared to test the performance of each optimized model. Subsequently, these datasets were used to test the hypothesis whether the generated data benefits the training of an AF classifier. Comparing the performance metrics of each optimized model, the training dataset consisting of generated and real AF PPG showed a test accuracy result of 0.962, which was close to that of the dataset consisting only of real AF PPG data at0.961. Furthermore, both models yielded the same F1 score of 0.969. Lastly,using only the generated AF PPG dataset resulted in test accuracy of 0.945, indicating that the trained model was capable of generating valuable AF PPG. Therefore, it can be concluded that the generated AF PPG can be used to augment insufficient data. To summarize, this study proposes a GAN-based method to generate atrial fibrillation PPG that can be used for training atrial fibrillation PPG classification models.

Innovative Macula Capillaries Plexuses Visualization with OCTA B-Scan Graph Representation: Transforming OCTA B-Scan into OCTA Graph Representation.

The aim of this study is to transform optical coherence tomography angiography (OCTA) scans into innovative OCTA graphs, serving as novel biomarkers representing the macular vasculature. The study included 90 healthy subjects and 39 subjects with various abnormalities (29 with diabetic retinopathy, 5 with age-related macular degeneration, and 5 with choroid neovascularization). OCTA 5µm macular coronal views (MCVs) were generated for each subject, followed by blood vessel segmentation and skeleton processing. Subsequently, the blood vessel density index, blood vessel skeleton index, and blood vessel tortuosity index were computed. The graphs of each metric were plotted against the axial axes of the OCTA B-scan, representing the integrity of vasculature at successive 5µm macular depths. The results revealed two significant findings. First, the B-scans from OCTA can be transformed into OCTA graphs, yielding three specific OCTA graphs in this study. These graphs provide new biomarkers for assessing the integrity of deep vascular complex (DVC) and superficial vascular complex (SVC) within the macula. Second, a statistically significant difference was observed between normal (n=90) and abnormal (n=39) subjects, with a t-test p-value significantly lower than 0.001. The Mann-Whitney u-test also yielded significant difference but only between the 90 normal and 29 DR subjects. The novel OCTA graphs offer a unique representation of the macula's SVC and DVC, suggesting their potential in aiding physicians in the diagnosis of eye health within OCTA clinics. Further research is warranted to finalize the shape of these newly derived OCTA graphs and establish their clinical relevance and utility.

Model Pembelajaran Kooperatif Team Game Tournament Berbasis Media Digital Blooket untuk Mengembangkan Motivasi dan Hasil Belajar Pendidikan Pancasila

Technology-based learning media has an important role in increasing learning motivation and student learning outcomes, one of which is web-based blooket media. Blooket media provides the pleasure of learning while providing learning challenges, activates student learning, and has relevance to the basic values of the independent learning curriculum. This research aims to determine the effect of the blooket media-based team game tournament (TGT) cooperative learning model. on motivation and learning outcomes of Pancasila Education. The research used a quasi-experimental design method with a research population of students at Cimanggung State High School and purposive sampling, the experimental class consisted of 31 people and the control class consisted of 31 people. Data analysis to assess learning outcomes uses paired sample t-test by providing learning outcomes tests in the form of pre-test and post-test, while learning motivation uses Likert scale analysis by providing a Motivation Questionnaire. The results of the research show that the TGT cooperative learning model based on digital blooket media has a higher influence on motivation and learning outcomes, compared to non-digital blooket TGT in Pancasila Education. The experimental class learning motivation interval score was 94% (very high) and the class interval score control was 54% (High) for experimental class learning outcomes was 77% (high) and for control class learning outcomes was 63% (Medium). with a t-test p-value &lt;0.05 (0.000), indicating a significant effect.

Radiomic Assessment of Radiation-Induced Alterations of Skeletal Muscle Composition in Head and Neck Squamous Cell Carcinoma within the Currently Clinically Defined Optimal Time Window for Salvage Surgery-A Pilot Study.

Patients with locally advanced head and neck squamous cell carcinoma (HNSCC) frequently require primary radiochemotherapy (RCT). Despite intensity modulation, the desired radiation-induced effects observed in HNSCC may also be observed as side effects in healthy tissue, e.g., the sternocleidomastoid muscle (SCM). These side effects (e.g., tissue fibrosis) depend on the interval between the completion of RCT and restaging CT. For salvage surgery, the optimal time window for surgery is currently clinically postulated at between 6 and 12 weeks after completion of RCT. Thus, no extensive tissue fibrosis is to be expected. This interval is based on clinical studies exploring surgical complications. Studies directly exploring radiation-induced changes of the SCM in HNSCC patients are sparse. The present study quantified tissue alterations in the SCM and paravertebral musculature (PVM) after RCT, applying radiomics to determine the optimal time window for salvage surgery. Three radiomic key parameters, (1) volume, (2) mean positivity of pixels (MPP), and (3) uniformity, were extracted with mint LesionTM in the staging CTs and restaging CTs of 98 HNSCC patients. Of these, 25 were female, the mean age was 62 (±9.6) years, and 80.9% were UICC Stage IV. The mean restaging interval was 55 (±28; range 29-229) days. Only the mean volume significantly decreased after RCT, from 9.0 to 8.4 and 96.5 to 91.9 mL for the SCM and PVM, respectively (both p = 0.007, both Cohen's d = 0.28). In addition, the mean body mass index (BMI) decreased from 23.9 (±4.2) to 21.0 (±3.6) kg/m² (p < 0.001; Cohen's d = 0.9). The mean BMI decreased significantly and was correlated with the volume decrease for the SCM (r = 0.27; p = 0.007) and PVM (r = 0.41; p < 0.001). If t-test p-values were adjusted for the BMI decrease, no significant change in volumes for the SCM and PVM was observed (both p > 0.05). The present data support the clinically postulated optimal interval for salvage surgery of 6 to 12 weeks.