bluuebunny/crossref_metadata_2025_split huggingface dataset:
Agronomic performance and phenotypic variability of the F2 population derived from various types of okra varieties
Authors: Hayati P K D , Sutoyo  , Ardi  , Herawati N , Martinius  , Putri R E , Zaitialia M 
Published: April 2024

Abstract
Okra is a functional vegetable with high nutrient content and medicinal value potential. Evaluating genetic material from various genetic sources is a standard procedure in plant breeding programs. A field study was carried out to evaluate the agronomic traits of F2 populations derived from various types of varieties and assess the phenotypic variability of the traits. The research was conducted at the Research Station of the Faculty of Agriculture, Andalas University, from January to May 2021. The materials used are seeds from self-pollinated of 16 F1 populations with various varieties, i.e., hybrid, composite, introduced and local varieties. Data was collected based on an individual observation, and the data were then analyzed using descriptive statistics. Results showed that the entire population of the F2 derived from both hybrid or composite varieties, introduced or local varieties, has diverse agronomic traits, indicating their potential to be developed as parental inbred lines. All agronomic traits evaluated showed wide variability, indicating a high possibility to obtain plants with valuable and desirable traits. The exception was found for the optimum picking time; however, the optimum picking time 7, 8 or 9 DAA is sufficient to obtain fruit with higher fruit weight and fruit size.
Investigation of the Variability of Dry / Wet Meteorological conditions using the SPEI / SPI Index in the Selo Watershed, Period 1981-2020.
Authors: Nugroho S , Febriamansyah R , Ekaputra E G , Gunawan D 
Published: April 2024

Abstract
The significant impact of climate change is high variability in rainfall and an increase in extreme rainfall events. The impacts resulted in severe dry/wet conditions. Severe dry conditions can lead to crop failure due to lack of water availability, while severe wet conditions can indicate flooding. This paper aims to investigate the variability of dry/wet meteorological conditions in the Selo watershed. The investigation was carried out using the SPEI and SPI. The results show that wet/dry conditions do not have a clear pattern variability in the long term. Seasonal wet/dry conditions show a changing trend towards wetter conditions in all seasons. Spatially, the changes occur throughout the study area, with the most significant changes occurring in the upstream and downstream parts of the watershed. In the last two decades, wet conditions are more dominant to replace dry conditions that were more prominent in the previous two decades. Other analysis results conclude that there is no influence of air temperature in creating wet/dry conditions in the Selo watershed area. So that the characteristics of wet/dry conditions are very useful for considering the selection of agricultural adaptation strategies in dealing with variability and climate change in the Selo watershed area.
Effect of pasteurization time and temperature on bioactive compounds, antioxidant ability and color value of beverage produced from herbal extract (Passiflora foetida and embryo nelumbinis)
Authors: Tan N D , Le V T Y , Tuyen V T X , Khang T N 
Published: April 2024

Abstract
Herbal beverage is one of the natural products which are greatly preferred by customers. Passiflora foetida and Embryo Nelumbinis are two kinds of medicinal plants that possess many precious bioactive compounds that have the effect of supporting calmness, reducing stress, treating insomnia; and have been used in many folk remedies in Vietnam. The main objective of this study is to investigate the effects of heating temperature (75, 85 and 95°C) and pasteurization time (15, 30, 45 and 60 minutes) on the content of bioactive compounds (polyphenol, flavonoid, tannin, alkaloid and saponin), antioxidant ability (FRAP, DPPH) and color parameters (L*, a*, b* and ΔE) of product. The reseach was designed randomly with two factors and three replications. The content of bioactive compounds and antioxidant capacity of product were analyzed by standardization methods using spectrophotometer; and the color parameters were measured by the colorimeter. The result showed that the opitmal pasteurization temperature and time were 85°C and 30 minutes, at this heating process the product maintained high level of bioactive compounds and antioxidant ability. The content of polyphenol, flavonoid, tannin, saponin and alkaloid were 9.46 mgGAE/g, 4.44 mgQE/g, 4.85 mgTAE/g, 7.40 mgSE/g, 14.25 mgCE/g; the antioxidant capacity of product by DPPH and FRAP method were 64.50% and 28.25 μFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as LMFeSO4/g; the color parameters such as L*, a*, b* and ΔE were 31.58, -0.24, -0.47 and 61.25, respectively. The production process was successful in pilot equipment and the product can be used as one of the beverages for health strengthening.
Disaster resilience of flood in Kerala, India
Authors: Mohan C , Joy R 
Published: April 2024

Abstract
Kerala, the southern state in the Indian peninsula, has been affected by floods for the last three consecutive years. Changing weather patterns leading to heavy monsoon and development without considering the ecological vulnerabilities of the region has been pointed out as the reasons for flooding. Displaced communities, the destruction of agricultural and industrial enterprises, and health concerns have made disaster management a challenge for communities and governments alike. Even though there were lots of difficulties, the way Keralites came out of all these miseries and their adaptation was really inexplicable and always provided scope for research in that area. This paper focuses on examining the flooding pattern and impact of floods in Kerala, India and assessing the resilience capacity of the affected community. Self-developed questionnaires were used to gather data from the flood-affected population in the most flood-affected districts in Kerala. To gauge the respondents’ opinions, the questionnaire used a five-point variable Likert scale. When all was said and done, 260 valid questionnaires were successfully retrieved. The study found that communities show resilience to flood with partnership and decentralised management of disasters. The study could help recognise the strategies for building resilient communities through policy intervention and civil society participation.
Effectiveness of video and brochures on the improvement of students’ knowledge about Covid-19
Authors: Mappewali A , Omolu F A , Jumiyati S 
Published: April 2024

Abstract
Since the positive case for Covid-19 in Indonesia was first announced in March 2020, the Rector of the University of Muhammadiyah Palu started trying to prevent the spread of the virus to the academic community and society. Community awareness improvement is carried out through massive communication strategies, socialization, and education to the public regarding the implementation of Clean and Healthy Behavior using various media, including Video and Brochure. This research aims to determine the effectiveness of videos and brochures in improving university students’ knowledge about Covid-19. The research method used is a True-Experimental Design applying test as the research instrument. The tests (pretest and post-test) were administered to 100 respondents, who were divided into two groups. The result shows that videos and brochures significantly improved students’ knowledge about Covid-19. However, the brochure gives a better effect proved by Asym. Sig value (2-tailed) 0.317 higher than 0.05.
A facile way of controlling capillary condensation: particle-based crystal
Authors: Jiao Shichao , McCarthy Joseph J 
Published: April 2024

Abstract
To demonstrate a facile method to control capillary condensation via the design of confined geometric structures, we use a particle self-assembly technique to fabricate porous materials with well-defined pore sizes. Four groups of silica particles were synthesized using the modified Stober method, and these groups of particles were then arranged in closely packed structures. Quantitative predictions of capillary condensation were made based on the Kelvin equation and an approximation of the geometric structures of our closely packed samples. Experimental observations revealed that water uptake at 100% relative humidity reached 40%–50% relative to particle mass across sizes, closely aligning with theoretical predictions for small-particle systems, even though the geometry of some of the confined spaces corresponds to distances smaller than 10 nm. Despite deviation from theoretical predictions that are observed in larger particle systems, and which can be attributed primarily to practical limitations of attainable ordered structures at these scales, this fabrication method shows great potential for the creation of devices that allow facile control of capillary condensation in relevant applications such as vapor capture and humidity control.
Comparative analysis of characteristics and physical mechanisms for typical summer extreme precipitation in Pakistan
Authors: Hu Xiaoxue , Pan Hongzi , Ma Yuanyuan , Feng Guolin , Chen Yiting , Ma Qianrong , Ma Di 
Published: April 2024

Abstract
The 2022 floods in Pakistan resulted in severe losses and garnered global attention. This study aims to enhance the understanding of extreme precipitation (EP) events in Pakistan by examining the characteristics and mechanisms behind the persistent EP during summer, utilizing daily precipitation data from the Climate Prediction Center (CPC). Results showed that the monsoon precipitation in 2010, 2020 and 2022 are the highest three years on record. Notably, these peak events in 2010 (concentrating in the north) and 2022 (concentrating in the south) spanned from July through August. Conversely, the extreme precipitation in August 2020 was concentrated in northern Pakistan. For the circulation patterns, the intensification of the South Asian High and the western Pacific subtropical high with a strong Indian monsoon is a unifying feature, but the Iranian high and monsoon low-pressure system on the south of Pakistan was different. Additionally, the EP in July 2010 and August 2022 were also influenced by the teleconnection associated with European Blocking. La Niña events and the negative-phase Indian Ocean Dipole (IOD) also played a role in affecting summer EP, with the strongest La Niña occurring in 2010 and a notable triple-dip La Niña coinciding with a significant negative IOD phase in 2022. La Niña contributed to the formation of an anomalously strong anticyclone over the northwest Pacific and easterly winds along the southern Himalayas, impacting moisture transport to Pakistan. Conversely, the negative IOD phase amplified EP in Pakistan by enhancing the northward movement of convective systems and westerly winds over the Indian Ocean. Furthermore, reduced snow cover on the Tibetan Plateau in the springs of 2010 and 2022 likely induced a stronger thermal dynamical effect, acting as a heat source in summer and increasing precipitation in Pakistan.
A deep learning optimized LQR method for enhanced formation control with embedded systems
Authors: Wang Zhi , Ling Yun , Ma Min 
Published: April 2024

Abstract
To achieve higher accuracy throughout the formation control processes and enhance precision in dynamic environments, particularly for the formation control of follower vehicles with embedded systems, this paper proposes a method and framework for vehicle formation control. An Ackermann-model based Linear Quadratic Regulator (LQR) controller is developed for lateral distance control and a Proportional-Derivative (PD) controller for longitudinal distance control. To enhance the efficacy of the LQR controller, the Deep Deterministic Policy Gradient Derivative (DDPG) method is introduced into the control system. The DDPG networks are trained in a simulation environment and can subsequently predict LQR parameters in real-time experiments. The practical application of the method is showcased, and the concluding remarks emphasize the potential and superior performance of our proposed formation control approach by experimental comparison with other controllers. This method can be implemented in small vehicles that possess limited computational resources and is also suitable for scenarios requiring dynamic motion control with higher tracking accuracy and stability.
A multi-modal nonlinear dynamic model to investigate time-domain responses of a micro-cantilever in fluids
Authors: Yilmaz Cagri 
Published: April 2024

Abstract
In this current work, a new nonlinear dynamic model based on the forced Van der Pol oscillator is introduced to demonstrate the time-domain sensitivities of the micro-cantilever to the varying properties of the surrounding fluids. Effects of diverse multi-frequency excitations on the hydrodynamically forced displacements are investigated for the Glycerol-water solutions with different concentrations. Driving forces at the eigenmode frequencies are applied simultaneously to actuate the micro-cantilever in multi-modal operations. The hydrodynamic force induces notable variations in the observables of high-frequency steady-state vibrations. To illustrate, the frequency of the displacements decreases with increasing dynamic viscosity and density of the fluids (among 55% and 85% Glycerol-water solutions) in bimodal- and trimodal-frequency excitations. Essentially, the observable responses are often used to distinguish the surrounding fluids in which the micro-cantilever operates. In addition, steady-state observables are achieved at only particular eigenmodes in single- and multi-frequency operations. It is highlighted that the periodic oscillations are obtained for the first and second eigenmodes with the highest value of forced Van der Pol parameter (μ = 1030). Clearly, higher eigenmodes require different values of the nonlinearity parameter to acquire periodic vibrations in multi-modal operations. In general, achieving steady-state observables is substantially critical in quantifying sensitivity to varying fluid properties. For instance, the vibration frequency of around 7.33 MHz and amplitude of around 0.03 pm are obtained at the first eigenmode for 75% Glycerol-water solution in tetra-modal operations. Note that femtometer amplitudes of deflections can be measured using quantum-enhanced AFM techniques. The frequency responses obtained in this work are compared with the measured ones in the literature and the results show satisfactory agreements. Therefore, a novel multi-modal nonlinear dynamic model enables to quantify observable sensitivity to micro-rheological properties at higher eigenmodes of the micro-cantilever.
Regional disparities in health and employment outcomes of China’s transition to a low-carbon electricity system
Authors: Yang Haozhe , Luo Qian , He Gang , Lin Jiang , Johnson Jeremiah , Garcia-Menendez Fernando , Deschenes Olivier , Mileva Ana , Deshmukh Ranjit 
Published: April 2024

Abstract
Understanding the costs and the spatial distribution of health and employment outcomes of low-carbon electricity pathways is critical to enable an equitable transition. We integrate an electricity system planning model (GridPath), a health impact model (InMAP), and a multiregional input–output model to quantify China’s provincial-level impacts of electricity system decarbonization on costs, health outcomes, employment, and labor compensation. We find that even without specific CO2 constraints, declining renewable energy and storage costs enable a 26% decline in CO2 emissions in 2040 compared to 2020 under the Reference scenario. Compared to the Reference scenario, pursuing 2 °C and 1.5 °C compatible carbon emission targets (85% and 99% decrease in 2040 CO2 emissions relative to 2020 levels, respectively) reduces air pollution-related premature deaths from electricity generation over 2020–2040 by 51% and 63%, but substantially increases annual average costs per unit of electricity demand in 2040 (21% and 39%, respectively). While the 2 °C pathway leads to a 3% increase in electricity sector-related net labor compensation, the 1.5 °C pathway results in a 19% increase in labor compensation driven by greater renewable energy deployment. Although disparities in health impacts across provinces narrow as fossil fuels phase out, disparities in labor compensation widen with wealthier East Coast provinces gaining the most in labor compensation because of materials and equipment manufacturing, and offshore wind deployment.
Toward a clearer understanding of what works to reduce gun violence: the role of falsification strategies
Authors: Swanson Sonja A , Miller Matthew 
Published: April 2024

Abstract
Strong epidemiologic evidence from ecological and individual-level studies in the United States supports the claim that access to firearms substantially increases the risk of dying by suicide, homicide, and firearm accidents. Less certain is how well particular interventions work to prevent these deaths and other firearm-related harms. Given the limits of existing data to study firearm violence and the infeasibility of conducting randomized trials of firearm access, it is important to do the best we can with the data we already have. We argue that falsification strategies are a critical—yet underutilized—component of any such analytical approach. The falsification strategies we focus on are versions of “negative controls” analyses in which we expect that an analysis should yield a null causal effect, and thus where not obtaining a null effect estimate raises questions about the assumptions underlying causal interpretation of a study’s findings. We illustrate the saliency of this issue today with examples drawn from studies published in leading peer-reviewed journals within the last 5 years. Collecting rich, high-quality data always takes time, urgent as the need may be. On the other hand, doing better with the data we already have can start right now.
Multigenerational association between smoking and autism spectrum disorder: findings from a nationwide prospective cohort study
Authors: Yim Gyeyoon , Roberts Andrea , Lyall Kristen , Ascherio Alberto , Weisskopf Marc G 
Published: April 2024

Abstract
Animal studies have shown that exposure to cigarette smoke during pregnancy can induce neurobehavioral anomalies in multiple subsequent generations. However, little work has examined such effects in humans. We examined the risk of grandchild autism spectrum disorder (ASD) in association with grandmother’s smoking during pregnancy, using data from 53 562 mothers and grandmothers and 120 267 grandchildren in Nurses’ Health Study II. In 1999, Nurses’ Health Study II participants with children reported on their mothers’ smoking. Grandchildren’s ASD diagnoses were reported by the mothers in 2005 and 2009. Among grandmothers, 13 383 (25.0%) smoked during pregnancy, and 509 (0.4%) grandchildren were diagnosed with ASD. The adjusted odds ratio for ASD for grandmother smoking during pregnancy was 1.52 (95% CI, 1.06-2.20). Results were similar with direct grandmother reporting in 2001 of her smoking during pregnancy from the Nurses’ Mothers Cohort Study subgroup (n = 22 167 grandmothers, n = 49 917 grandchildren) and were stronger among grandmothers who smoked ≥15 cigarettes per day during pregnancy (adjusted odds ratio = 1.93 [95% CI, 1.10-3.40]; n = 1895 grandmothers, n = 4212 grandchildren). Results were similar when we adjusted for mother’s smoking during pregnancy. There was no association with grandfather’s smoking as reported by the grandmother. Our results suggest a potential persistent impact of gestational exposure to environmental insults across 3 generations.
The impact of adjusting for hysterectomy prevalence on cervical cancer incidence rates and trends among women aged 30 years or older—United States, 2001-2019
Authors: Gopalani Sameer V , Sawaya George F , Rositch Anne F , Dasari Sabitha , Thompson Trevor D , Mix Jacqueline M , Saraiya Mona 
Published: April 2024

Abstract
Hysterectomy protects against cervical cancer when the cervix is removed. However, measures of cervical cancer incidence often fail to exclude women with a hysterectomy from the population-at-risk denominator, underestimating and distorting disease burden. In this study, we estimated hysterectomy prevalence from the Behavioral Risk Factor Surveillance System surveys to remove the women who were not at risk of cervical cancer from the denominator and combined these estimates with the US Cancer Statistics data. From these data, we calculated age-specific and age-standardized incidence rates for women aged &gt;30 years from 2001-2019, adjusted for hysterectomy prevalence. We calculated the difference between unadjusted and adjusted incidence rates and examined trends by histology, age, race and ethnicity, and geographic region using joinpoint regression. The hysterectomy-adjusted cervical cancer incidence rate from 2001-2019 was 16.7 per 100 000 women—34.6% higher than the unadjusted rate. After adjustment, incidence rates were higher by approximately 55% among Black women, 56% among those living in the East South Central division, and 90% among women aged 70-79 and ≥80 years. These findings underscore the importance of adjusting for hysterectomy prevalence to avoid underestimating cervical cancer incidence rates and masking disparities by age, race, and geographic region.
This article is part of a Special Collection on Gynecological Cancers.
Single-cell type annotation with deep learning in 265 cell types for humans
Authors: Dong Sherry , Deng Kaiwen , Huang Xiuzhen 
Published: April 2024

Abstract

Motivation
Annotating cell types is a challenging yet essential task in analyzing single-cell RNA sequencing data. However, due to the lack of a gold standard, it is difficult to evaluate the algorithms fairly and an overfitting algorithm may be favored in benchmarks. To address this challenge, we developed a deep learning-based single-cell type prediction tool that assigns the cell type to 265 different cell types for humans, based on data from approximately five million cells.

Results
We achieved a median area under the ROC curve (AUC) of 0.93 when evaluated across datasets. We found that inconsistent labeling in the existing database generated by different labs contributed to the mistakes of the model. Therefore, we used cell ontology to correct the annotations and retrained the model, which resulted in 0.971 median AUC. Our study reveals a limiting factor of the accuracy one may achieve with the current database annotation and points to the solutions towards an algorithm-based correction of the gold standard for future automated cell annotation approaches.

Availability and implementation
The code is available at: https://github.com/SherrySDong/Hierarchical-Correction-Improves-Automated-Single-cell-Type-Annotation. Data used in this study are listed in Supplementary Table S1 and are retrievable at the CZI database.