Labor Time Research Articles

Effectiveness Of Hydrotherapy In Reducing Labour Pain: A Systematized Literature Review

Background: Waterbirth has gained popularity as an alternative birthing option globally, yet its implementation and acceptance in clinical practice remain limited in Singapore. Study Aim: This systemized literature review aims to investigate the effectiveness of waterbirth in reducing labour pain compared to traditional births among pregnant women in Singapore. Methodology: This systematized literature review used databases such as CINAHL (Cumulative Index to Nursing and Allied Health Literature), Ovid MEDLINE, PubMed, EMBASE (Excerpta Medica Database), and Web of Science. Selected articles were appraised using the Joanna Briggs Institute Checklist. Conclusion: A systematized review of the literature shows that warm showers for labour and immersion in water for labour comprise a multidimensional analysis of their potential impact on the birthing process. Both methods have demonstrated subjective advantages, including pain reduction and a reduction in labour time

Preserving environmental quality of ecotourism sites through community participation in Purulia District of West Bengal, India

The importance of valuing environmental resources, especially in ecotourism sites, has become increasingly important over the last two decades. Ecotourism is now considered as an important source of livelihood of local stakeholders in backward regions. Therefore, the preservation of ecotourism sites through community participation seems very important to maintain continued flow of tourists. This study aimed at recognizing the importance of community participation for the preservation of ecotourism sites. For this, this study executed a survey based on non-probability sampling in two ecotourism sites (Garpanchkot and Baranti) covering 100 respondents in Purulia District, West Bengal of India. The central issue of this study was to assess the tendency of community participation for the conservation of ecotourism sites and find the optimum condition for offering participatory labour time. This study showed that the participation of young people is high, and the majority of respondents are aware of the importance in protecting ecotourism sites. Because respondents were too poor to offer money, the contingent valuation method (CVM) was used to elicit their willingness to pay (WTP) participatory labour time for the conservation of ecotourism sites. Respondents’ age, income, education level, caste, and their perceived environmental quality had significant relationship with their WTP participatory labour time by applying the ordinary least square (OLS) model. It was found that the mean WTP participatory labour time of each respondent in a month is approximately 3.64 h. The significance of this study is that community participation can improve the sense of belonging, trust, and credibility of ecotourism sites, making them more appreciative of the value and protection of these sites.

JournalADE: Creation and validation of a novel program for automated data extraction (ADE) to assess authorship gender representation

Background: Analyses of gender in academic authorship are key to characterizing representation in surgical fields, but current methods of manual data collection are time-consuming and error prone. The purpose of this study was to design a program to automatically extract publication data and verify the accuracy of this program in comparison to manually-collected data in a pilot study of three orthopaedic surgery journals. Methods: Publications from three orthopaedic subspecialty journals between January 2019 and June 2021 were identified via PubMed search. For each publication, online publication date, journal issue month, first author name, and senior author name were collected from PubMed listings by hand and programmatically in a Python script (JournalADE). Gender was determined using Gender API. Results: The percent of publications for which manually- and program-collected online publication dates were within 14 days of each other was above 95% for all journals. There was 98.3% (95% CI=97.84-98.76%) agreement for online publication date, with a mean difference of 6.43 (SD 0.87) days. Journal issue month agreement was 99.6% (95% CI=99.37-99.83%). Agreement for first author gender was 97.33% (95% CI=96.75-97.91%) and for senior author gender was 96.77% (95% CI=96.14-97.4%). Estimated labor time for manual collection was 100 hr, compared to 15 min for JournalADE. Conclusions: When comparing the JournalADE- and manually-collected data, rates of agreement were high at a fraction of the time. This supports the efficacy of JournalADE and sets the stage for its use in future studies of gender in authorship.

The Impact Of Endorphin Massage On The Efficient Production Of Postpartum Breast Milk In TPMB Sulastri, Pagelaran District, Pringsewu Regency In 2024.

Initiating breastfeeding within the first day of delivery has been shown to decrease the likelihood of newborn mortality. It is specifically demonstrated to provide exclusive protection against diarrhea, respiratory infections, and pneumonia ASI. The project seeks to investigate endorphin massage's impact on smoothness development in postpartum women at TPMB Sulastri, S.ST., M.Kes in 2024.ASI stands for Automatic Speech Recognition. This research employs a quasi-experiment design utilizing a pretest-posttest control group strategy. The sample included of 14 participants in the intervention group and 14 participants in the control group. Purposive sampling techniques were employed. The instrument utilizes Standard Operating Procedures (SOP) and checklist sheets. A three-day Endorphin massage treatment was administered and assessed using the Mann-Whitney test. The study found that 50% of individuals had a moderate frequency of meal intake. The utilization rate of non-hormonal contraceptives was 71.4%. The weight of newborns does not exceed 100% of the BBLR. The gestational age at the time of labor is 100% accurate. The mean milk output of the intervention group was 2.6 before and 7.5 after. The mean of the control group was 2.5 before and 5.2 after. The endorphin massage significantly impacted the efficient production of breast milk in postpartum moms. This was evidenced by a p-value of 0.000 (< 0.05) and a positive Correlation Coefficient value of 0.88, indicating a highly robust association between the two variables. Ultimately, endorphin massage has a significant impact on facilitating the efficient production of breast milk in mothers throughout the postpartum period. It is desirable for lactating postpartum women to regularly engage in endorphin massage to ensure the continuous and unobstructed flow of breast milk during the entire two-year duration of breastfeeding.

How does pesticide reduction affect labour time and profitability? A crop production case study

CONTEXTNational and international agendas are focusing on reducing pesticides due to their detrimental effects on flora, fauna, and human health, which has led to the introduction of agri-environmental programmes aimed at reducing the risk of pesticides. Pesticide reduction in agriculture can have an impact on labour time requirements and profitability. OBJECTIVEWe used winter wheat, sugar beet, and potatoes as examples to analyse the changes in profitability and working time requirements, including management tasks. METHODSFor the calculations, we used five different production schemes for each crop: reference; (A) reduction of herbicides; (B) reduction of growth regulators, fungicides, and insecticides; combination of schemes (A) and (B); and organic production. The working time requirements for fieldwork and farm management work were modelled for each scheme and crop. The respective partial costs and benefits of the schemes were calculated for each crop. RESULTS AND CONCLUSIONSBased on the model assumptions, scheme (B) appears favourable in terms of working time requirements, and profitability of winter wheat and sugar beet. Scheme (A) offers synergies between the same parameters for potato production. Economic analysis shows that crop production with reduced pesticide use may even experience an increase in financial viability if the yield is not severely jeopardised, and farmers can be compensated through premiums and direct payments. SIGNIFICANCEOur results can support policy-making, since the labour time requirement and profitability of pesticide-reduced crop production can affect the success of voluntary agri-environmental programmes for the reduction of the risks from pesticide use in agriculture.

Prevalence of group B Streptococcus colonisation in mother–newborn dyads in low-income and middle-income south Asian and African countries: a prospective, observational study

Rectovaginal group B Streptococcus (GBS) colonisation in pregnant individuals at the time of labour is a major risk factor for invasive GBS disease by age 7days (early-onset disease). We aimed to investigate the prevalence of rectovaginal GBS colonisation at the time of labour among pregnant women and vertical transmission to their newborns across selected low-income and middle-income African and south Asian countries. This prospective, observational study was undertaken at 11maternity and obstetric care facilities based in Ethiopia, Kenya, Mozambique, Nigeria, Mali, South Africa, Bangladesh, India, and Bhutan. HIV-negative pregnant women aged 18-45years who were in the early stages of labour and at least 37weeks' gestation were eligible for inclusion. Lower vaginal and rectal swabs and urine were collected from the women, and swabs of the umbilicus, outer ear, axillary fold, rectum, and throat were obtained from their newborns, for GBS culture. Standardised sampling and culture using direct plating and selective media broth for detection of GBS colonisation was undertaken at the sites. Serotyping of GBS isolates was done in South Africa. The primary outcome was the prevalence of rectovaginal GBS among pregnant women, analysed in participants with available data. This study is registered with the South African National Clinical Trials Register, number DOH-27-0418-4989. 6922pregnant women were enrolled from Jan 10, 2016, to Dec 11, 2018, of whom 6514 (94·1%; 759-892per country) were included in the analysis; data from Bhutan were not included in the study due to issues with specimen collection and processing. Overall, the prevalence of maternal GBS colonisation was 24·1% (95% CI 23·1-25·2; 1572of 6514); it was highest in Mali (41·1% [37·7-44·6]; 314of 764) and lowest in Ethiopia (11·6% [9·5-14·1]; 88of 759). Theoverall rate of vertical transmission of GBS from women with rectovaginal GBS colonisation was 72·3% (70·0-74·4; 1132of 1566); it was highest in Mozambique (79·2% [73·3-84·2]; 168of 212) and lowest in Bangladesh (55·8%, 47·5-63·8; 77of 138). The five most common GBS colonising serotypes were Ia (37·3% [34·9-39·7]; 586of 1572), V(28·5% [26·3-30·8]; 448of 1572), III (25·1% [23·0-27·3]; 394of 1572), II (9·2% [7·8-10·7]; 144of 1572), and Ib(6·5% [5·4-7·8]; 102of 1572). There was geographical variability in serotype proportion distribution; serotype VIIwas the third most common serotype in India (8·6% [5·3-13·7]; 15of 174) and serotype VI was mainly identified in Bangladesh (5·8% [3·0-11·0]; eight of 138) and India (5·7% [3·2-10·3]; ten of 174). Our study reported a high prevalence of GBS colonisation in most settings, with some geographical variability even within African countries. Our findings suggest that serotypes not included in current multivalent capsular-polysaccharide GBS vaccines prevail in some regions, so vaccine efficacy and post-licensure effectiveness studies should assess the effect of vaccination on maternal GBS colonisation given the potential for replacement by non-vaccine serotypes. Bill & Melinda Gates Foundation.

Comparison of Four Rapid N-Glycan Analytical Methods and Great Application Potential in Cell Line Development

N-glycan, a critical quality attribute (CQA) of monoclonal antibodies, profoundly impacts potency, immunogenicity, safety, and clinical efficiency. Therefore, N-glycan should be monitored and controlled during development. The conventional 2-AB method is considered the gold standard for N-glycan analysis, which is labor intensive and time consuming. Moreover, its sample requirement is relatively high and cannot be met in early-stage development, including cell line development. In this study, we compared the performance of four rapid analytical methods in N-glycan analysis of mAbs, including the rapid 2-AB method, reduction method, off-line IdeS digestion method, and two-dimensional liquid chromatography-mass spectrometry (2D-LC-MS) method. Our results showed that these four rapid analytical methods could provide comparable N-glycan data. Moreover, these four rapid methods shortened the testing time for the conventional 2-AB method from days to just minutes. They also reduced the sample requirement for the conventional 2-AB method from milligrams to micrograms. Among these four rapid methods, the 2D-LC-MS method demonstrated great potential for applications in time-consuming cell line development because it required less testing time and a lower sample requirement.

Does exogenous glucocorticoid administration during pregnancy precipitate the timing of labor? A scoping review.

To investigate whether synthetic (s) glucocorticoids (GCs) administered between the 24th and the 34th gestational weeks in pre-term labor might precipitate labor, studies on sGCs administration were reviewed. The physiology of endogenous glucocorticoid-related increase in fetal-maternal circulation and its association with labor, followed by a scoping review of studies on exogenous sGCs administered for fetal lung maturation and the timing of labor, were included. The methodology of systematic reviews was followed. MEDLINE, Cochrane Library, and Google Scholar databases were searched until October 2023, for original studies investigating the administration of sGCs in pregnancies risking pre-term labor. Duplicates were removed, and 1867 abstracts were excluded as irrelevant. Six controlled and four non-controlled studies were included. The index group consisted of 6001 subjects and 7691 controls in the former, while in the latter, the index group consisted of 2069 subjects. In three out of the six controlled studies, gestational age at labor was significantly lower in sGC-treated women than in controls, while in three studies, gestational age at labor was lower in sGC-treated women than in controls, with a trend toward statistical significance. In one study, gestational age at labor was significantly lower in controls than in sGC-treated women. In the non-controlled studies, the majority of women delivered less than 1 week from the day of sGC administration. In this scoping review, studies lack homogeneity. However, in the controlled studies, a pattern of earlier labor emerges among sGC-treated pregnant women. The use of multiple courses of antenatal sGCs appears to be associated with precipitated labor. Their use should be carefully weighed. Carefully designed trials should examine this ongoing scientific query.

The effect of prenatal education on health anxiety of primigravid women

Background and aimHealth anxiety is a mental disorder that characterized by an excessive fear about health and physical symptoms. High anxiety in pregnancy is associated with adverse outcomes. The aim of this study was to investigate the effect of prenatal education on health anxiety of primigravid women.MethodsThe present study was quasi-experimental study. 122 primiparous pregnant women referred to comprehensive health services Shahrekord (A city in the southwest of Iran) clinics in 2019, after receiving consent to participate in the study, randomly divided into two intervention and control groups. The intervention group participated in 8 sessions (1.5-h), once every 2 weeks, from 20 to 37th weeks of gestation. The health anxiety questionnaire was completed on 20th (before the beginning of the courses), 28th and 37th weeks by two groups. Consequences of pregnancy included weight, Apgar score, delivery type, labor time and first breastfeeding time. SPSS version 16 software was used for data analysis.ResultsNo significant difference was found type of delivery, gestational age, height, weight, head length, Apgar score, duration of hospitalization and first breastfeeding time. The duration of the active and latent phase of labor was significantly lower and the weight of newborn was significantly higher in the intervention group than the control group (P < 0.05). At 37th week, the scores of illness concern, negative consequence and total health anxiety in the intervention group decreased by 3.42, 0.93 and 4.36 respectively and in control group increased by 2.82, 0.03 and 2.86.ConclusionPregnancy educational courses has positive effects on health anxiety, decrease duration of labor time and increased newborn weight. In order to improve the outcome of pregnancy, educational classes during pregnancy should be considered.

Automation and Augmentation: Artificial Intelligence, Robots, and Work

This article reviews the literature that examines the potential, limitations, and consequences of robots and artificial intelligence (AI) in automation and augmentation across various disciplines. It presents key observations and suggestions from the literature review. Firstly, displacement effects from task automation continue to persist. However, one should not assume an unequivocally increasing efficacy of technology in automation or augmentation, especially given the declining productivity growth in high-income countries and some large emerging economies in recent decades. Jobs less likely to be negatively impacted are those that require diverse tasks, physical dexterity, tacit knowledge, or flexibility, or are protected by professional or trade associations. Despite countervailing effects, without policy intervention, automation and augmentation could widen inequality between social groups, labor and capital, and firms. Secondly, AI's promise in task automation and labor augmentation is mixed. AI tools can cause harm, and dissatisfaction and disengagement often arise from their opaqueness, errors, disregard for critical contexts, lack of tacit knowledge, and lack of domain expertise, as well as their demand for extra labor time and resources. The inadequate autonomy to override AI-based assessments further frustrates users who have to use these AI tools at work. Finally, the article calls for sociological research to specify conditions and mechanisms that ameliorate adverse consequences and enhance labor augmentation by embedding the study of automation and augmentation in concrete social and political contexts at multiple levels.

Assessing the effect of women empowerment on labor time allocated to soil and water conservation strategies in northern rwanda

Assessing the effect of women empowerment on labor time allocated to soil and water conservation strategies in northern rwanda

The Impact of Quality Control Implementation on Productivity and Product Quality in Industry

Furniture production is one of the activities that has the potential to generate income for educational institutions. The furniture production process is generally carried out by experienced students utilizing industry-standard facilities, namely the Wood Construction workshop along with its machinery equipment. Therefore, the implementation of Quality Control in the production process is necessary. This study aims to determine the impact of Quality Control implementation on improving the productivity and quality of furniture products. The method used is quantitative with 4 stages of Quality Control, including product design, process planning, Incoming Quality Control (IQC), and In-Process Quality Control (IPQC). Productivity measurement is divided into 3 parts: partial productivity, total factor productivity, and total productivity, which includes labor productivity, time, and production output. Meanwhile, product quality measurement is obtained from assessments by practitioners and product quality testing according to ISO 19682. Data is processed using the path analysis method with the help of a smart PLS application. The research results show that the productivity of production output is 87.5%, categorized as good, with labor productivity of 0.125 pieces/person/day and work hour productivity of 0.25 pieces/hour/day. Product quality based on production processes is categorized as good at 83%. Meanwhile, product quality testing, including visual aspects is good (82.3%), product stability (normal), strength (normal), durability (normal), stiffness (normal 34mm/m), and drop test (normal). Based on path analysis, it is known that quality control including product design, process planning, Incoming Quality Control (IQC), and In-Process Quality Control (IPQC) has an impact on improving the productivity and quality of furniture products. the quality control carried out to increase productivity and product quality can be said to be good with the validation of the final result of 0.188 including in the good category.

Fault transformer: An automatic fault detection algorithm on seismic images using a transformer enhanced neural network

Seismic fault detection is a key step in seismic interpretation and reservoir characterization that often requires a large amount of human labor and interpretation time. Therefore, automatic seismic fault detection is critical for improving the efficiency of seismic data processing and interpretation. Existing artificial intelligence methods are mostly based on convolutional neural networks with a U-shaped encoder-decoder structure, known as U-net. However, the convolution is limited in modeling long-range correlative features. Instead, transformers, using self-attention mechanisms, avoid the local nature of the convolution, which has the potential to extract long-distance correlations. Transformers are proven to perform well in natural language processing, image classification, and segmentation tasks in precision and recall. Here, we develop a new deep neural network with transformers and a U-net-like structure: a fault transformer to perform the fault detection task. The new network outperforms the traditional U-net in the application with synthetic data sets.

Determinants and willingness to practice obstetric analgesia among women attending antenatal clinic at Dr. Bogalech Gebre Memorial General Hospital Central Ethiopia: a cross-sectional study

BackgroundLabor pain is uniquely experienced and described by the woman giving birth, and it is often considered one of the most excruciating experiences for many women. This study aimed to evaluate factors associated with the willingness to receive labor analgesia among women attending the antenatal clinic at Dr. Bogalech Gebre Memorial General Hospital Central Ethiopia in 2022.MethodsAn institution-based, cross-sectional study was conducted from January to March 2022. Data were collected using semi-structured questionnaires by a convenience sampling technique. Data was entered in EpiData 4.2 and exported to SPSS version 20 for analysis. Both Bivariable and multivariable logistic regressions were conducted to determine factors associated with pregnant women’s willingness to choose labor analgesia. Crude odds ratio (COR) and adjusted odds ratio (AOR) were computed to assess the association between variables.ResultsA total of 398 pregnant women have participated in the study with a response rate of 94%. Nearly 30%, (29.4%) of the pregnant women had a willingness to practice labor pain management. Being a housewife (AOR: 8.35, 95% CI: 2.07, 33.63). Women who live in urban (AOR: 2.60, 95% CI: 1.29, 5.29). Having had awareness about labor analgesia (AOR: 1.70, 95% CI: 1.00, 2.60) and the short duration of labor time (AOR: 1.84, 95% CI: 1.15, 2.96) were statistically significant with a willingness to practice labor analgesia.ConclusionWe conclude that the willingness of pregnant mothers’ toward obstetric analgesia practice was low in the study area. Being a housewife, urban residence, awareness about labor analgesia, and short duration of labor were statistically significant with the willingness of the mothers to practice labor analgesia. To increase willingness to use labor analgesia, authorities should prioritize delivering health education on pain management choices to address concerns and promote effective methods and practices.

The German transfer system for the working-age population: design, changes and consequences

Abstract In this commentary, we use the example of the German transfer system and its recent changes to assess consequences of benefit design for social inequalities in times of changing labour markets. Based on the rich literature on the so-called ‘Hartz-IV reforms’ in the early 2000s, we argue that while producing winners and losers, the immediate consequences of benefit reforms in Germany for the generosity of transfers were modest. However, the reforms did change some of the basic design principles of the transfer system. While it is still debated to what extent the reforms of the transfer system can explain the combination of decreasing unemployment and increasing labour market inequalities, they certainly modified the institutional context in a way that fundamentally altered the preconditions for the politics of combating inequality. Thus, the German experience offers an interesting example for assessing both intended and unintended consequences of benefit reforms.

Advancing crop disease resistance through genome editing: a promising approach for enhancing agricultural production.

Modern agriculture has encountered several challenges in achieving constant yield stability especially due to disease outbreaks and lack of long-term disease-resistant crop cultivars. In the past, disease outbreaks in economically important crops had a major impact on food security and the economy. On the other hand climate-driven emergence of new pathovars or changes in their host specificity further poses a serious threat to sustainable agriculture. At present, chemical-based control strategies are frequently used to control microbial pathogens and pests, but they have detrimental impact on the environment and also resulted in the development of resistant phyto-pathogens. As a replacement, cultivating engineered disease-resistant crops can help to minimize the negative impact of regular pesticides on agriculture and the environment. Although traditional breeding and genetic engineering have been instrumental in crop disease improvement but they have certain limitations such as labour intensity, time consumption, and low efficiency. In this regard, genome editing has emerged as one of the potential tools for improving disease resistance in crops by targeting multiple traits with more accuracy and efficiency. For instance, genome editing techniques, such as CRISPR/Cas9, CRISPR/Cas13, base editing, TALENs, ZFNs, and meganucleases, have proved successful in improving disease resistance in crops through targeted mutagenesis, gene knockouts, knockdowns, modifications, and activation of target genes. CRISPR/Cas9 is unique among these techniques because of its remarkable efficacy, low risk of off-target repercussions, and ease of use. Some primary targets for developing CRISPR-mediated disease-resistant crops are host-susceptibility genes (the S gene method), resistance genes (R genes) and pathogen genetic material that prevents their development, broad-spectrum disease resistance. The use of genome editing methods has the potential to notably ameliorate crop disease resistance and transform agricultural practices in the future. This review highlights the impact of phyto-pathogens on agricultural productivity. Next, we discussed the tools for improving disease resistance while focusing on genome editing. We provided an update on the accomplishments of genome editing, and its potential to improve crop disease resistance against bacterial, fungal and viral pathogens in different crop systems. Finally, we highlighted the future challenges of genome editing in different crop systems for enhancing disease resistance.

The Sensitivity and Specificity of Measuring the Thickness of Myometrium to Predict the Time of Spontaneous Labour in Preterm Prelabor Rupture of Membranes and Oligohydramnios

The Sensitivity and Specificity of Measuring the Thickness of Myometrium to Predict the Time of Spontaneous Labour in Preterm Prelabor Rupture of Membranes and Oligohydramnios

An Integrated Smart Pond Water Quality Monitoring and Fish Farming Recommendation Aquabot System.

The integration of cutting-edge technologies such as the Internet of Things (IoT), robotics, and machine learning (ML) has the potential to significantly enhance the productivity and profitability of traditional fish farming. Farmers using traditional fish farming methods incur enormous economic costs owing to labor-intensive schedule monitoring and care, illnesses, and sudden fish deaths. Another ongoing issue is automated fish species recommendation based on water quality. On the one hand, the effective monitoring of abrupt changes in water quality may minimize the daily operating costs and boost fish productivity, while an accurate automatic fish recommender may aid the farmer in selecting profitable fish species for farming. In this paper, we present AquaBot, an IoT-based system that can automatically collect, monitor, and evaluate the water quality and recommend appropriate fish to farm depending on the values of various water quality indicators. A mobile robot has been designed to collect parameter values such as the pH, temperature, and turbidity from all around the pond. To facilitate monitoring, we have developed web and mobile interfaces. For the analysis and recommendation of suitable fish based on water quality, we have trained and tested several ML algorithms, such as the proposed custom ensemble model, random forest (RF), support vector machine (SVM), decision tree (DT), K-nearest neighbor (KNN), logistic regression (LR), bagging, boosting, and stacking, on a real-time pond water dataset. The dataset has been preprocessed with feature scaling and dataset balancing. We have evaluated the algorithms based on several performance metrics. In our experiment, our proposed ensemble model has delivered the best result, with 94% accuracy, 94% precision, 94% recall, a 94% F1-score, 93% MCC, and the best AUC score for multi-class classification. Finally, we have deployed the best-performing model in a web interface to provide cultivators with recommendations for suitable fish farming. Our proposed system is projected to not only boost production and save money but also reduce the time and intensity of the producer's manual labor.

Detection of bacterial spot disease on tomato leaves using a Convolutional Neural Network (CNN)

Tomato diseases have become a major concern to the tomato production sector around the world. A huge proportion of tomato crops deteriorate yearly during growth or after harvesting due to the infections caused by fungus, viruses and bacteria. Early detection of these diseases plays a crucial role in alleviating overall production loss. Over the past decades, farmers have been using visual observation to identify a crop disease in a field. However, the visual observation method is labour intensive, time consuming, and prone to human error. Currently, intelligent approaches have been widely used to detect and classify these diseases. The objective of this study is to design a convolutional neural network VGG16 net architecture that is able to detect tomato diseases on tomato leaves. A model that can successfully detect 5 tomato leaf diseases was developed: (1) Bacterial spot, (2) Early blight, (3) Late blight, (4) Septoria leaf and (5) Yellow leaf curl with a training accuracy of 0.9328.

The Effect of Auricular Acupressure on Uterine Contractions, Fetal Heart Rate, and Length of Labor in the Active Phase of Primigravida

The still high maternal mortality rate (MMR) in Indonesia, especially in East Java, is caused by indirect causes or other causes such as prolonged labor, so a method is needed to treat cases of prolonged labor such as auricular acupressure. Auricular acupressure (AKAR) is a non-pharmacological method proven effective for uterine contractions, but its side effects on the fetal heart rate (FHR) are unknown. The research aimed to analyze the AKAR method on uterine contractions, FHR, and labor duration in the first stage's active phase. This type of research is truly experimental, with a pretest-posttest control group design. The research subjects were 41 respondents, primigravida active phase first-stage mothers, selected by consecutive sampling and randomly divided into two groups, namely 21 AKAR groups and 20 deep breathing relaxation control groups. The research results of the Friedman test statistical test ρ-value equal 0.000 in the AKAR group and ρ-value equal 0.000 in the control group, meaning that AKAR influences uterine contractions. The Friedman Test findings show that AKAR does not affect FHR (ρ-value equal 0.618). The Independent Sample Test ρ-value equal 0.29 indicates no statistically significant difference between the two groups' labor lengths throughout the first stage's active phase. The AKAR group's average labor time in the first stage of the active phase was 365.40 minutes, with a minimum of 267 minutes and a high of 395 minutes. Conclusion: The auricular acupressure method affects uterine contractions but does not affect the fetal heart rate. There was no difference in the length of labor in the first active phase of labor between the auricular acupressure and deep breathing relaxation groups, so it is recommended that the auricular acupressure method can be used as an alternative complementary care to prevent prolonged labor.