Knowledge Unlatched (Germany)

Aims: Genetic divergence plays a crucial part in determining the selection of genotypes for any breeding programme in order to generate superior segregants. Assessing the local or related genotypes for divergence, imposses a necessity to conduct experiments on specific agro-ecological situations to breed specific varieties suitable for vegetable and gum purpose. Study Design: Randomized Block Design Place and Duration of Study: An elaborate study was performed in January to April 2022 at the field in Poothurai village of Villupuram District, Tamil Nadu to evaluate and screen the cluster bean germplasms. Methodology: A total of 102 genotypes (including Pusa Navbahar - a check variety) procured from various regions of the country were utilized. Observations were recorded for growth attributes (plant height; number of branches per plant; days to maturity), flowering and pod characters (days to 50 % flowering; number of clusters per plant; number of pods per cluster; pod length; pod girth), yield parameters (pod weight; number of pods per plant; total pod yield per plant), seed characters (number of seeds per pod; hundred seed weight; total seed yield per plant) and physiological components (guar gum; protein and fibre) on five randomly selected plants. Results: It divulged a paramount of diversity with the genotypes being grouped into 14 clusters based on 17 parameters. Seven clusters had more than 2 genotypes, and the remaining were solitary. Yield parameters such as total per plant yield (22.20%), pods per cluster (15.30%), and clusters per plant (14.80%) contributed to the highest percentage diversity. The distance between intra clusters ranges from 0.00 to 2031.87. The maximum distance between clusters observed is between cluster V and cluster IX (15980.81). Conclusion: Of the 102 genotypes, Cluster XIV having the sole member Pusa Navbahar performed better for six out of seventeen parameters observed for the mean of clusters. With respect to the above results obtained and per se performance of the landraces, selection can be made to obtain superior cluster bean recombinants.

Cortical arousals are brief brain activations that disrupt sleep continuity and contribute to cardiovascular, cognitive, and behavioral impairments. Although polysomnography is the gold standard for arousal detection, its cost and complexity limit use in long-term or home-based monitoring. This study presents a noninvasive, machine learning–based framework for detecting cortical arousals using the RestEaze™ system, a leg-worn wearable that records multimodal physiological signals including accelerometry, gyroscope, photoplethysmography (PPG), and temperature. Across multiple methods tested, including logistic regression, XGBoost, and Random Forest classifiers, we found that features related to movement intensity were the most effective in identifying cortical arousals, while heart rate variability had a comparatively lower impact. The framework was evaluated in 14 children with attention-deficit/hyperactivity disorder (ADHD) undergoing assessment for restless leg syndrome–related sleep disruption. The Random Forest model achieved the best overall performance, with a ROC-AUC of 0.94 and an AUPRC of 0.55, substantially higher than the baseline prevalence of arousals (~ 0.07). For the arousal class specifically, it reached a precision of 0.57, recall of 0.78, and F1-score of 0.65. These findings support the feasibility of wearable-based machine learning for real-world arousal detection, demonstrated here in a pediatric ADHD cohort with sleep-related behavioral concerns.Supplementary InformationThe online version contains supplementary material available at 10.1038/s41598-025-27739-7.

The study was conducted to evaluate the video assisted teaching programme made any significant difference in improving the level of knowledge regarding antenatal exercise among pregnant mothers at K.G.F. A pre-experimental one group pre-test post-test method was used. The data were collected from 60 antenatal mothers attended antenatal OPD using convenient sampling method. Data were collected by structured interview and structured questionnaire. The major finding of the study show that, in the pre-test knowledge score only 60% of mother had moderate knowledge and 40% had inadequate knowledge regarding antenatal exercise. No one had adequate knowledge on antenatal exercise. In the post-test assessment after intervention, 60% of the mothers had adequate knowledge, 36.7% showed moderate knowledge and only 3.3% showed inadequate knowledge regarding antenatal exercise. There was a significant difference in the pre-test and post-test knowledge score. The mean value off knowledge in pre-test was 9.1 and the post-test mean value was 16.9 which showed the effectiveness of demonstration of antenatal exercise among pregnant mothers. The study concluded that video-assisted teaching programme is an effective method to improve knowledge regarding antenatal exercise among pregnant mothers.

To address the transient overvoltage and oscillation issues caused by the rapid conversion between the underground DC and surface AC power supply modes during the on-grid/off-grid switching process of coal mine microgrids, this paper proposes a smooth switching strategy based on an improved voltage loop and a linear active disturbance rejection controller (LADRC) pre-synchronization control. This strategy combines current compensation technology with disturbance estimation based on an extended state observer (LESO), achieving real-time compensation and dynamic adjustment of disturbances during the switching process. It significantly reduces the risk of transient overvoltage and oscillation, and enhances the dynamic response performance and robustness of the system.

This study aims to analyze the implementation of project-based learning through the creation of clipping envelope(KLIPOP) of norms in the Pancasila Education subject, as well as to evaluate its impact on improving the learning outcomes of fifth-grade students at SDN Kutorejo 1 Tuban. The background of this research is the low student achievement in Pancasila Education, often caused by conventional, theoretical teaching methods that lack connection to students’ real-life experiences. The research method used is Classroom Action Research (CAR) with a descriptive quantitative approach. Data were collected through observation, interviews, documentation, and the results of pre-tests and post-tests. The findings show that project-based learning is effective in improving students’ learning outcomes. This is evidenced by the increase in the average test score from 74.8 (pre-test) to 91.3 (post-test). Students also demonstrated greater engagement, creativity, and collaboration in understanding the norms contained in Pancasila. By involving students in contextual activities, such as collecting information and creatively designing norm envelopes, learning becomes more meaningful and applicable. Therefore, this learning model can serve as a strategic alternative to enhance students’ understanding and academic performance in Pancasila Education at the elementary level.

This community case study explores how Kīpuka Kuleana, a Native Hawaiian women-led community-based land trust, revitalizes relationships between people and ʻāina (lands and waters) to perpetuate cultural practices that build climate resilience in Kauaʻi, Hawaiʻi. We demonstrate that ancestral land protection is foundational to climate change mitigation and adaptation efforts on Kauaʻi, an isolated rural island in the Pacific Ocean increasingly vulnerable to flooding and landslides, sea level rise, and other climate-related impacts. Kīpuka Kuleana strives to keep kupa ʻāina ʻohana (long-time families)—the anchors of community who care for, teach from, and maintain balance in their fragile environments—rooted to their homes amidst increasing gentrification, land dispossession, and climate-related disasters. Through our interwoven programs, we return lands to communities and communities to lands, a reciprocal process known as ʻāina hoʻi, to restore access to ʻāina for collective caretaking, place-based education, and spiritual rejuvenation. Our land trust partners with Indigenous and allied groups in Hawaiʻi, Louisiana, California and Borikén (Puerto Rico) to share learnings tied to land protection, disaster resilience, adaptation, and rematriation, or the restoration of relationships between Indigenous people and ancestral lands. We offer some of those lessons to illustrate how Indigenous-led community-based land trusts and stewardship efforts forge new possibilities for adapting in place and cultivating more connected, resilient ecosystems stewarded under Indigenous leadership, in alignment with the “Land Back” movement.

We aimed to investigate the effect of "Baby Friendly NICU" practice on exclusive breastfeeding rates following discharge in very preterm infants. The Baby-Friendly Hospital Initiative (BFHI) is a global program launched by the World Health Organization (WHO) and UNICEF. The feeding technique, type of nutrition (breastfeeding, formula, mixed) and anthropometric measurements of the very preterm infants (≤32 gestational weeks) were recorded for every month following discharge up to corrected 6months of age. Exclusive breastfeeding rates were compared between 2 periods before "Baby Friendly NICU" practice (group 1) and after (group 2). Data of 252 infants, 135 in group 1 and 117 in group 2 were analyzed. Exclusive formula feeding rates decreased by 6months age in group 2 (46 vs. 32%, P =.02); however, exclusively breastfeeding rates did not changed significantly (20% vs. 29%, P =.14). Baby friendly NICU practices significantly decreased formula feeding rates at 6months; however, it did not have an effect on exclusive breastfeeding rates at any time point during follow-up probably due to small sample size.

This current study aims to, the impact of nursing on health transformation, the role of nursing and its effectiveness in health transformation, the extent to which health services are affected by health transformation ,the most prominent health transformation achievements, A questionnaire was prepared via Google Drive and distributed to the population aged 25-55 years, men and women, in the city of Mecca. As for the questionnaire, it was distributed via the social networking program (WhatsApp) for the purpose of distancing for fear of the presence of the Corona virus. 380 questionnaires were distributed, and 370 responses were obtained via email to the principal researcher.