Testing Approach Research Articles

Micro-mechanical properties of Song Dynasty tilestones based on nanoindentation tests and homogenization approach

Song Dynasty tilestones are one type of ancient Chinese building materials. Studying their mechanical properties is of great significance for the design and development of restoration materials. It is a challenge to sample and perform traditional tests (ϕ50mm × 100mm) for the tilestone cultural relics. In this work, a combination of nanoindentation techniques and the homogenization calculation method based on the Mori–Tanaka model were used to determine the mechanical parameters of Song Dynasty tilestones. The study process involved several steps: (1) Using X-ray diffraction and scanning electron microscopy to examine the surface morphology and mineral composition of the tilestones. (2) Determining the mechanical parameters (i.e., the elastic modulus, hardness and fracture toughness) through nanoindentation tests. (3) Upgrading mechanical parameters from micro to meso-scale using the Mori–Tanaka model and comparing these with uniaxial compression test results. The result shows that the red tilestones and green tilestone are mainly composed of quartz, feldspar and mica. The average elastic modulus of the red tilestones and the green tilestones are 29.47 GPa and 30.21 GPa, respectively. Compared with the parameter result obtained by upscaling, the deviation rates of the red tilestones and green tilestones are 10.3% and 9.6%, respectively, which proves that the test method is reliable. The nanoindentation test and homogenization approach in this work provide the robust theoretical and practical basis for evaluating the mechanical strength of Song Dynasty tilestones.

More than Just Buying a Van: Lessons Learned from a Mobile Telehealth HCV Testing and Treatment Study.

Hepatitis C virus (HCV) disproportionately affects people who inject drugs (PWID). Although HCV has become universally curable since the arrival of direct-acting antivirals, barriers exist to facilitating care and cure in this historically hard-to-reach population, including limited testing and healthcare services and healthcare stigma, issues that are compounded in rural areas. Telehealth is effective in increasing access to HCV care and cure, but innovative approaches of testing and care are required to fully address the need among rural PWID, which led to our study examining a mobile telehealth model for treating HCV. In this commentary, we discuss lessons learned delivering telehealth on a mobile unit, important factors for consideration when designing a mobile intervention, and we suggest an ideal model to increase access to HCV testing and treatment and other services for rural PWID.

Comparison and Optimization of Simple DNA Extraction Methods for LAMP-Based Point-of-Care Applications Employing Submillimeter Skin Biopsies.

Loop-mediated isothermal amplification (LAMP) has gained particular attention for point-of-care (POC) applications due to its advantages over traditional nucleic acid testing approaches. However, a prevailing limitation of LAMP in POC applications is nucleic acid extraction from the sample prior to analysis. This is particularly true for complex samples such as submillimeter skin biopsies where lysis and digestion involve intricate and lengthy procedures. The objective of this study was to compare alternative methodologies against the spin-column laboratory standard and evaluate them based on the World Health Organization ASSURED criteria for POC testing. Four methods-magnetic bead extraction, alkaline extraction, proteinase K-heat inactivation extraction, and boiling method extraction-were optimized utilizing porcine skin submillimeter punch biopsies and subsequently validated on human skin. Results show that both alkaline extraction and proteinase K-heat inactivation produce DNA yields equivalent to or higher than the spin-column method in porcine and human skin. When evaluated against the ASSURED criteria, both methods demonstrated low complexity while being highly scalable and readily accessible. Overall, this comparative study established a robust framework for selecting DNA extraction methods for submillimeter skin biopsies in POC applications. It also underscored the performance of the alkaline extraction method based on the ASSURED criteria, providing equivalent DNA yields to laboratory standards with reduced complexity and potential for cost-effective scalability.

A scalable adaptive quadratic kernel method for interpretable epistasis analysis in complex traits.

Our knowledge of the contribution of genetic interactions (epistasis) to variation in human complex traits remains limited, partly due to the lack of efficient, powerful, and interpretable algorithms to detect interactions. Recently proposed approaches for set-based association tests show promise in improving the power to detect epistasis by examining the aggregated effects of multiple variants. Nevertheless, these methods either do not scale to large Biobank data sets or lack interpretability. We propose QuadKAST, a scalable algorithm focused on testing pairwise interaction effects (quadratic effects) within small to medium-sized sets of genetic variants (window size ≤100) on a trait and provide quantified interpretation of these effects. Comprehensive simulations show that QuadKAST is well-calibrated. Additionally, QuadKAST is highly sensitive in detecting loci with epistatic signals and accurate in its estimation of quadratic effects. We applied QuadKAST to 52 quantitative phenotypes measured in ≈300,000 unrelated white British individuals in the UK Biobank to test for quadratic effects within each of 9515 protein-coding genes. We detect 32 trait-gene pairs across 17 traits and 29 genes that demonstrate statistically significant signals of quadratic effects (accounting for the number of genes and traits tested). Across these trait-gene pairs, the proportion of trait variance explained by quadratic effects is comparable to additive effects, with five pairs having a ratio >1. Our method enables the detailed investigation of epistasis on a large scale, offering new insights into its role and importance.

The Implementation of Criterion Referenced Test Approach in Analysis of Student Learning Outcomes at Madrasah Ibtidaiyah

Criterion Referenced Test (PAP) establishes specific standards that students must meet, providing objective evaluations and helping teachers identify which students need remedial support. PAP ensures that all students achieve the required basic competencies. This research describes the application of PAP in analysing Arabic language scores at the Madarah Ibtidaiyah level. Utilizing a qualitative approach with descriptive research, data was collected through unstructured interviews with the school principal and Arabic teacher, as well as observations of student grades. Data analysis involved organizing data by research objectives and interpreting findings accordingly. The study found that PAP facilitates teachers in conducting grade corrections or remedial actions when students fail to meet the set criteria, which is a minimum of 33% or a grade C. The student’s raw Arabic scores are converted to a letter scale, revealing cases where students did not meet the minimum score, necessitating remediation. At MI Miftahul Huda, PAP is used with a letter scale conversion to evaluate grade 4 students' Arabic language performance, with a minimum criterion set at 55% (grade C). This approach simplifies the implementation of remedial measures for students not achieving passing grades and proves effective in tracking student progress.

PCR Detection of Bartonella spp. and Borreliella spp. DNA in Dry Blood Spot Samples from Human Patients.

Lyme disease is the most commonly reported vector-borne disease in the United States. Bartonella constitute an additional zoonotic pathogen whose public health impact and diversity continue to emerge. Rapid, sensitive, and specific detection of these and other vector-borne pathogens remains challenging, especially for patients with persistent infections. This report describes an approach for DNA extraction and PCR testing for the detection of Bartonella spp. and Borreliella spp. from dry blood spot (DBS) specimens from human patients. The present study included extraction of DNA and PCR testing of DBS samples from 105 patients with poorly defined, chronic symptoms labeled as Lyme-Like Syndromic Illness (LLSI). Bartonella spp. DNA was detected in 20/105 (19%) and Borreliella spp. DNA was detected in 41/105 (39%) patients with LLSI. Neither group of organisms was detected in DBS samples from 42 healthy control subjects. Bartonella spp. 16S-23S rRNA internal transcribed spacer sequences were highly similar to ones previously identified in yellow flies, lone star ticks, a human patient from Florida, mosquitoes in Europe, or B. apihabitans and choladocola strains from honeybees. These human strains may represent new genetic strains or groups of human pathogenic species of Bartonella. The 41 Borreliella spp. flaB gene sequences obtained from human patients suggested the presence of four different species, including B. burgdorferi, B. americana, B. andersonii, and B. bissettiae/carolinensis-like strains. These results suggest that specific aspects of the DBS DNA extraction and PCR approach enabled the detection of Bartonella spp. and Borreliella spp. DNA from very small amounts of human whole blood from some patients, including specimens stored on filter paper for 17 years.

Clostridioides difficile Infections in Children: What Is the Optimal Laboratory Diagnostic Method?

The diagnosis of Clostridioides difficile infection (CDI) in the pediatric population is complicated by the high prevalence of asymptomatic colonization, particularly in infants. Many laboratory diagnostic methods are available, but there continues to be controversy over the optimal laboratory testing approach to diagnose CDI in children. We evaluated commonly used C. difficile diagnostic commercial tests in our pediatric hospital population at Sidra Medicine in Doha, Qatar. Between June and December 2023, 374 consecutive stool samples from pediatric patients aged 0-18 years old were tested using: Techlab C. diff Quik Chek Complete, Cepheid GeneXpert C. difficile, QIAstat-Dx Gastrointestinal Panel, and culture using CHROMagar C. difficile. The results of these tests as standalone methods or in four different testing algorithms were compared to a composite reference method on the basis of turnaround time, ease of use, cost, and performance characteristics including specificity, sensitivity, negative predictive value, and positive predictive value. Our study showed variability in test performance of the different available assays in diagnosing CDI. In our population, a testing algorithm starting with Cepheid GeneXpert C. difficile PCR assay or QIAstat-Dx Gastrointestinal panel as a screening test followed by toxin immunoassay for positive samples using the Techlab C. diff Quik Chek Complete kit showed the best performance (100% specificity and 100% positive predictive value) when combined with clinical review of the patient to assess risk factors for CDI, clinical presentation, and alternative causes of diarrhea.

Performance prediction of ventilated building-integrated photovoltaic system with lightweight flexible crystalline silicon module based on experimental fitting method

The novel ventilated building-integrated photovoltaic system with lightweight flexible crystalline silicon modules (VL-BIPV) has a self-weight of only about 6 kg/m2, which helps to address weight-bearing challenges on low-capacity industrial building rooftops. However, the unique thermal dissipation features of the system pose challenges for the analysis of its photovoltaic performance and thermal processes. Therefore, a comparative experimental testing approach was employed, comparing the VL-BIPV system with a conventional rooftop photovoltaic system. Using the efficiency equations of the conventional photovoltaic system as a reference, the functional equations were fitted based on experimental results. Based on typical meteorological year data in Nanjing, annual power generation and PV cell temperature variations were evaluated, along with power generation and carbon reduction benefits over a 25-year lifetime. The results indicate that the VL-BIPV system achieves an annual power generation of 262.22 kWh/m2, a 6.52% increase compared to the conventional system. Additionally, the highest average and maximum cell temperatures in the VL-BIPV system during the year are 58.39 °C and 64.74 °C, respectively, both lower than the conventional system's peak at 68.34 °C. Over a 25-year lifespan, the VL-BIPV system reduces carbon emissions by 20.17 kgCO2/Wp, exceeding the conventional system's reduction by 1.25 kgCO2/Wp.

Deletions in the CDKL5 5' untranslated region lead to CDKL5 deficiency disorder.

Pathogenic variants in the cyclin-dependent kinase-like 5 (CDKL5) gene are associated with CDKL5 deficiency disorder (CDD), a severe X-linked developmental and epileptic encephalopathy. Deletions affecting the 5' untranslated region (UTR) of CDKL5, which involve the noncoding exon 1 and/or alternatively spliced first exons (exons 1a-e), are uncommonly reported. We describe genetic and phenotypic characteristics for 15 individuals with CDKL5 partial gene deletions affecting the 5' UTR. All individuals presented characteristic features of CDD, including medically refractory infantile-onset epilepsy, global developmental delay, and visual impairment. We performed RNA sequencing on fibroblast samples from three individuals with small deletions involving exons 1 and/or 1a/1b only. Results demonstrated reduced CDKL5 mRNA expression with no evidence of expression from alternatively spliced first exons. Our study broadens the genotypic spectrum for CDD by adding to existing evidence that deletions affecting the 5' UTR of the CDKL5 gene are associated with the disorder. We propose that smaller 5' UTR deletions may require additional molecular testing approaches such as RNA sequencing to determine pathogenicity.

Current and Future Pharmacopoeial Requirements for the Quality of Extemporaneous Medicinal Products: A Review of Regulatory Standards

INTRODUCTION. The organisation of extemporaneous compounding in pharmacies is currently considered to be a priority for the national healthcare system. Extemporaneous medicinal products used by patients should meet high quality, safety, and efficacy standards. Provision of consistent and science-based requirements for the quality of medicines, particularly those compounded in pharmacies, is a key area of concern for standardisation.AIM. This study aimed to analyse international experience and determine areas for the improvement of standardisation approaches of the State Pharmacopoeia of the Russian Federation to the quality of medicinal products compounded in pharmacies.DISCUSSION. The study investigated the common and distinctive properties of extemporaneous preparations compounded in pharmacies (and not subject to registration) and medicinal products manufactured by pharmaceutical companies. The authors analysed the requirements and recommendations for compounding and quality assurance of extemporaneous medicinal products provided by the regulatory and pharmacopoeial authorities of the Russian Federation, the Republic of Belarus, the European Union, the United Kingdom, the USA, and Canada. The United States Pharmacopeia includes circa 150 individual monographs for non-sterile compounded drug products with particular compositions and over 20 individual monographs for sterile compounded drug products. The European Pharmacopoeia requires that extemporaneous preparation should be organised within the quality assurance framework of a pharmacy after a proper risk assessment. In the Republic of Belarus, extemporaneous medicinal products are compounded in line with the requirements of the Good Compounding Practices and the State Pharmacopoeia of the Republic of Belarus, which provide rapid testing procedures for extemporaneous medicinal products.CONCLUSIONS. The study identified the following areas for the development of requirements for the quality of medicinal products compounded in pharmacies: the determination of rapid testing approaches; the development of pharmacopoeial monographs for active pharmaceutical substances used in extemporaneous compounding, with the Identification section supplemented with an additional subsection on pharmacy-specific analytical procedures; and the development of pharmacopoeial monographs for frequently used compounding formulae.

Synergistic effects of novel penicillin-binding protein 1A amino acid substitutions contribute to high-level amoxicillin resistance of Helicobacter pylori.

The growing resistance to amoxicillin (AMX)-one of the main antibiotics used in Helicobacter pylori eradication therapy-is an increasing health concern. Several mutations of penicillin-binding protein 1A (PBP1A) are suspected of causing AMX resistance; however, only a limited set of these mutations have been experimentally explored. This study aimed to investigate four PBP1A mutations (i.e., T558S, N562H, T593A, and G595S) carried by strain KIN76, a high-level AMX-resistant clinical H. pylori isolate with an AMX minimal inhibition concentration (MIC) of 2 µg/mL. We transformed a recipient strain 26695 with the DNA containing one to four mutation allele combinations of the pbp1 gene from strain KIN76. Transformants were subjected to genomic exploration and antimicrobial susceptibility testing. The resistance was transformable, and the presence of two to four PBP1A mutations (T558S and N562H, or T593A and G595S), rather than separate single mutations, was necessary to synergistically increase the AMX MIC up to 16-fold compared with the wild-type (WT) strain 26695. An AMX binding assay of PBP1A was performed using these strains, and binding was visualized by chasing Bocillin, a fluorescent penicillin analog. This revealed that all four-mutation allele-transformed strains exhibited decreased affinity to AMX on PBP1A than the WT. Protein structure modeling indicated that functional modifications occur as a result of these amino acid substitutions. This study highlights a new synergistic AMX resistance mechanism and establishes new markers of AMX resistance in H. pylori.IMPORTANCEThe development of resistance to antibiotics, including amoxicillin, is hampering the eradication of Helicobacter pylori infection. The identification of mechanisms driving this resistance is crucial for the development of new therapeutic strategies. We have demonstrated in vitro the synergistic role of novel mutations in the pbp1 gene of H. pylori that is suspected to drive amoxicillin resistance. Also deepening our understanding of amoxicillin resistance mechanisms, this study establishes new molecular markers of amoxicillin resistance that may be useful in molecular-based antibiotic susceptibility testing approaches for clinical practice or epidemiologic investigations.

Supplementary Strategies for Organizational Resilience in the Times of Crises : A Literature Review

This literature review explores complementary strategies for enhancing organizational resilience during crises. The study examines how innovation, dynamic capabilities, internal competencies, external support, and crisis-derived opportunities interact with resilience to help businesses survive and thrive in uncertain times. Through analysis of 26 Scopus-indexed articles from 1998 to 2024, the paper proposes an integrated model positioning organizational resilience as the core element, supported by innovation and dynamic capabilities as key enablers. Internal capabilities like networking and adaptability, along with external factors such as government support and digitalization, further reinforce resilience. Additionally, the study highlights how crises, despite their challenges, can drive positive transformation and growth when approached strategically. The proposed model suggests that maximizing these complementary elements collectively strengthens an organization's capacity to weather crises and emerge stronger. While providing valuable insights, the paper acknowledges limitations in its literature-based approach and calls for empirical testing across diverse contexts. This research contributes to a more holistic understanding of organizational resilience, offering a framework for businesses to develop comprehensive strategies for navigating crises and capitalizing on emergent opportunities.

Effects of novel flame retardants tris(1,3-dichloro-2-propyl) phosphate (TDCIPP) and triphenyl phosphate (TPhP) on function and homeostasis in human and rat pancreatic beta-cell lines

Despite the fact that environmental pollution has been implicated in the global rise of diabetes, the research on the impact of emerging pollutants such as novel flame retardants remains limited. In line with the shift towards the use of non-animal approaches in toxicological testing, this study aimed to investigate the effects of two novel flame retardants tris(1,3-dichloro-2-propyl) phosphate (TDCIPP) and triphenyl phosphate (TPhP) in rat (INS1E) and human (NES2Y) pancreatic beta-cell lines. One-week exposure to 1 μM and 10 μM TDCIPP and TPhP altered intracellular insulin and proinsulin levels, but not the levels of secreted insulin (despite the presence of a statistically insignificant trend). The exposures also altered the protein expression of several factors involved in beta-cell metabolic pathways and signaling, including ATP citrate lyase, isocitrate dehydrogenase 1, perilipins, glucose transporters, ER stress-related factors, and antioxidant enzymes. This study has brought new and valuable insights into the toxicity of TDCIPP and TPhP on beta-cell function and revealed alterations that might impact insulin secretion after more extended exposure. It also adds to the scarce studies using in vitro pancreatic beta-cells models in toxicological testing, thereby promoting the development of non-animal testing strategy for identifying pro-diabetic effects of chemical pollutants.

Comprehensive Approach for the Genetic Diagnosis of Patients with Waardenburg Syndrome.

Waardenburg syndrome (WS) is a common genetic cause of syndromic hearing loss, accounting for 2-5% of congenital cases. It is characterized by hearing impairment and pigmentation abnormalities in the skin, hair, and eyes. Seven genes are associated with WS: PAX3, MITF, EDNRB, EDN3, SOX10, KITLG, and SNAI2. This study investigates the genetic causes of WS in three familial cases. Whole-exome sequencing (WES) was performed to identify single nucleotide variants (SNVs). Copy number variants (CNVs) were analyzed from the WES raw data and through multiplex ligation-dependent probe amplification (MLPA). The study identified one pathogenic SNV and two novel CNVs, corresponding to type I and type II WS patterns in the three families. The SNV, a nonsense variant (c.1198C>T p.Arg400*), was found in MITF and segregated in the affected father. The two CNVs were a deletion of exon 5 in PAX3 in a family with two affected members and a large novel deletion comprising seven genes, including SOX10, in a family with three affected members. These findings confirmed a WS diagnosis through genetic testing. The study emphasizes the importance of integrating multiple genetic testing approaches for accurate and reliable diagnosis, highlighting their role in improving patient management and providing tailored genetic counseling.

The Relationship between Trade Openness and Economic Growth in Laos: Evidence from ARDL Bounds Testing Approach

The relationship between trade openness and economic growth, both theoretical and empirical investigations have shown varied results. Broadly speaking, trade openness has both positive and negative impacts on the economy in three major ways: (1) by increasing competition, (2) by increasing export opportunities, and (3) by lowering production costs due to cheaper imported inputs. This paper applies the autoregressive distributed lag (ARDL) bound testing approach to investigate the relationship between trade openness and economic growth in Laos during the period 1990 to 2018. The empirical results show that in the long run trade openness has positive effects on economic growth in Laos. However, in the short run, no positive influence has been observed in economic growth. Other variables such as foreign direct investment, human capital, and labor force also have positive effects on economic growth in the long run. There is only inflation has a negative impact on economic growth in both the short and long run. Laos is a middle-income nation in ASEAN, and thus the government of Laos must enhance trade openness by effectively controlling import levels in order to boost economic growth through international trade.

DIFFERENCES IN FIRM FINANCIAL PERFORMANCE BEFORE AND DURING THE COVID-19: A STUDY ON FNB SECTOR

<p><strong>Background</strong>: Covid-19 has had a major impact on the global economy, including in Indonesia. One of the most notable impacts has been felt by food and beverage firm. Indonesia government gives more attention for this sector due to its importance for public needs. This research is used to obtain the difference ROA ratio before and during Covid -19 period using statistical approach. This approach was chosen for finding is there a significant differences firm performance between before and during Covid-19 period.</p><p><strong>Objective</strong>: This approach was chosen for finding is there a significant differences firm performance between before and during Covid -19 period and analyze the differences.</p><p><strong>Research Methodology</strong>: Paired test approach for this research uses non-parametric Wilcoxon Ranks test by measuring return on assets (ROA). The population in this research were all firm operating in food an beverages sector from 2018-2021 which were listed on Indonesia for four consecutive years by classifying these four years in to before (2018-2019) and during Covid-19 (2020-2021).</p><p><strong>Research Findings</strong>: This research gained significantly different firm performance between before and during Covid-19. Wilcoxon Rank test performing this research gained a significant value 0.001<0.05. This difference is because the firm's ROA level tends to decline and suffer losses, the effect of implementing Perlakuan Pembatasan Kegiatan Masyarakat (PPKM) which seeks to reduce transmission through community mobility.</p><p><strong>Originality/Novelty of Research</strong>: This research provides a difference in firm financial performance with extended period data over two years before (2018-2019) and two years during Covid-19 (2020-2021).</p>

Enhancing logic-based testing with EvoDomain: A search-based domain-oriented test suite generation approach

ContextEffective software testing requires test adequacy criteria. MC/DC, a widely used logic-based testing criterion, struggles to detect domain errors caused by incorrect arithmetic operations. Domain errors occur when test requirement boundaries shift or tilt, causing unpredictable behavior and system crashes. ObjectiveTo address the inadequacy of MC/DC in detecting domain errors, we present EvoDomain, a search-based testing technique. MethodEvoDomain uses a memetic algorithm combining genetic and hill-climbing algorithms, along with the DBSCAN clustering algorithm to select diversified boundary test data. The memetic algorithm is designed to efficiently enhance the search process for covering boundary test data. We compared EvoDomain with two logic-based testing approaches, a domain-oriented test suite generation approach, and random testing. ResultsEvaluations on 30 case studies show EvoDomain increases fault detection by 74.44% over MC/DC and 65.06% over RoRG. Additionally, EvoDomain improves support for different fault types by up to 68.89% for MC/DC and 66.33% for RoRG. Compared to COSMOS, which uses static analysis, EvoDomain improves the convergence effectiveness of identifying feasible subdomains by 32%. It offers high accuracy (0.99-1) and F1-score (0.99-1). EvoDomain finds the subdomains in less than 1/3 the time of Random search. ConclusionEvoDomain effectively generates domain-oriented test suites, enhancing the accuracy and effectiveness of fault detection.

What can laboratory studies tell us about potential effects of pesticides on nontarget arthropods populations and communities in the field?

Over the past decades, concern has been increasing over reported declines in aboveground biodiversity on farmland. In many regions, data on the toxicity of pesticides to honeybees (Apis mellifera), but not wider nontarget arthropod (NTA) data, are required for pesticide registration. In Europe, the effects of pesticides on NTAs and honeybees have been the subject of regulatory risk assessment for more than 30 years, resulting in a large database. Although insecticides may be expected to affect NTA populations, solely identifying insecticidal modes of action for further NTA testing would result in redundancy among low-risk testing products and may also exclude other modes of action with potential effects in the field. This study assessed whether the honeybee acute risk assessment could provide any indication of the potential impact and recovery time of NTAs in cropped areas at the field scale and, if so, how it might be used in a tiered testing approach. The hazard quotients (HQs; foliar application rate/LR50) were derived for 151 active substances (32% insecticides, 28% fungicides, 38% herbicides, 2% plant growth regulators) for which toxicity data for established EU Tier 1 NTA indicator species (Typhlodromus pyri, Aphidius rhopalosiphi) and application rate data were available. These HQs were compared with published NTA HQ thresholds indicating the time to recovery of NTA populations and communities in field studies (>1 to >12 months). Using the same application rate data, honeybee acute risk quotient (RQ) and HQ were also determined and compared with NTA HQs and honeybee regulatory thresholds. These comparisons demonstrated that, where required, the current regulatory honeybee acute RQ of 0.4 or honeybee HQ of 50 can provide an efficient screening tier to target NTA testing at those products and uses with potential effects in the field where recovery may exceed 12 months. Integr Environ Assess Manag 2024;20:2326-2333. © 2024 SETAC.

Postpartum Yoga on Fitness Postpartum Mother

Postpartum mothers experience physical and psychological changes, this greatly affects breast milk production and postpartum mother's fitness. Analyzing the effect of using the Postpartum Yoga movement on fitness in postpartum mothers and producing a proper Postpartum Yoga movement and its effective application so as to improve the welfare. quasi-experimental (Quasi Experiment Research) with Pre and Post Test approach with Control Group Design. This study involved a control group and a treatment group, 30 experimental and control groups of 30 respondents. The intervention given to the experimental group was postpartum yoga intervention 2 times for 2 weeks, while in the control group the standard of care for postpartum mothers was postpartum mothers who gave birth normally. The data were tested using the Wilcoxon test and the Mann-Whitney test. Postpartum yoga was effective in improving fitness (p-value 0.02) compared to the control group. Postpartum Yoga as an educational medium for holistic-based midwifery care during pregnancy and the puerperium, and its application is effective in improving fitness in postpartum mothers. It is recommended for postpartum mothers to use the Postpartum Yoga movement as an intervention to increase breast milk production and fitness in postpartum mothers.

Applicability of calibrated diffuse reflectance spectroscopy models across spatial and temporal boundaries

Diffuse reflectance spectroscopy (DRS) is an emerging soil testing approach. Although several studies have validated the DRS approach, limited efforts are made to assess the applicability of calibrated DRS models on new samples collected at different locations and/or time. To test such spatio-temporal applicability of calibrated DRS models, we collected surface soil samples from 1,112 smallholder farms during 2018 (T2018) and 607 farms during 2021 (T2021) covering seven districts of the Bundelkhand region of central India. The T2018 samples covered 7 development blocks; the T2021 samples were also collected from these blocks but from different sampling locations. Additionally, a new sampling site (Jhansi-Bamour block) was added during 2021 to create an independent test dataset. Collected samples were analysed for 17 soil parameters (basic soil properties, macronutrients, and micronutrients) and spectral reflectance over the visible to near-infrared region. Corresponding soil test crop response (STCR) ratings were also estimated. The Cubist model was calibrated in the T2018 dataset and tested against the T2021 dataset using the coefficient of determination (R2), root-mean-squared error (RMSE), and percentage relative error deviation (PRED) at 30% error threshold as performance statistics. Model applicability was assessed at each block level (site-specific), by dividing the study site into their two geology-specific regions, and by treating the entire dataset as a regional-scale spectral library. Results showed that DRS models calibrated on a finer scale (site-specific) are less efficient in estimating soil parameters in broader scale (geology-specific and regional-scale) test T2021 samples although their STCR ratings may safely be estimated at local scales. When site-specific data were aggregated to broader scales and T2018 dataset was spiked with 20% samples from the T2021 dataset, model performance improved for critical soil parameters such as soil organic carbon (SOC) contents and several plant nutrients and their ratings; application of such large-scale models also improved the estimation accuracy when applied to site-specific datasets. Exchangeable Ca and Mg, clay and SOC contents were frequently well-estimated with R2 values ranging from 0.54 to 0.93. Fine sand was the next best estimated soil property with R2 values in the range of 0.40–0.75. The STCR ratings estimated in the DRS approach matched the wet chemistry-based STCR ratings to the tune of 43 to 100%. Overall, as many as 60% of all new samples could be estimated with more than 70% accuracy for 8 out of 17 parameters. With the DRS approach tested on both spatially- and temporally-independent test datasets and, specifically, with high estimation accuracy of STCR ratings, our results suggest that the DRS approach may safely be used as a viable alternative to conventional soil testing in smallholder farms.