bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategy to improve regional resilience against flood disasters in the North Coast of Central Java
Authors: Muktiali Mohammad , Setiadi Rukuh 
Published: April 2022

Abstract
The impact of climate change has caused flooding in the North Coast of Central Java Province. The level of flood hazard in 14 urban/municipalities on the North Coast of Central Java is all in the high category. The potential population exposed to flooding in this area reaches around 11,589,000 people, where a third are vulnerable groups (the poor). The impact of the flood disaster has caused environmental damage as well as physical and economic losses. This article aims to examine strategies to increase the resilience of the North Coast of Central Java using the Socio-Ecological System (SES) approach, where there is a reciprocal relationship between aspects of nature/environment (Natural System) and socio-economic (Socio-Economic Systems). Given that vulnerability (V) in the Pantura area of Central Java is dominated by many poor people and vulnerable groups, the strategy that needs to be done to reduce vulnerability is through poverty alleviation programs. To reduce the level of exposure (E) in the form of large physical and economic losses, it is necessary to provide the urban infrastructure that ensures the sustainability of the socio-economic activity system can take place properly. In addition, it is also necessary to control land use change because this has reduced the capacity and storage capacity of water, as well as prevented flooding. Finally, to overcome environmental damage, it is necessary to carry out an environmental conservation program on the North Coast of Central Java in a comprehensive and sustainable manner.
Adaptation of red rice farmers to long drought in Ponjong Districts Gunung Kidul Regency, Yogyakarta Indonesia
Authors: Rahayu Lestari , Rozaki Zuhud , Indardi  , Isdiana Ari 
Published: April 2022

Abstract
Adaptation of red rice farmers is an action taken by farmers to change crop cultivation during a prolonged drought, that cause by climate change. Adaptation consists of changes in planting patterns and crop cultivation. This study aims to describe the adaptation of red rice farmers and know the profile that influences the adaptation of red rice farmers to prolonged droughts. The study was conducted in three zones, including the northern zone (Umbulrejo Village), the central zone (Sumbergiri Village), and the southern zone (Sidorejo Village). This study was conducted in Ponjong Subdistrict purposively, on sampling conducted systematically random sampling with 200 respondents. The data were analyze using descriptive analysis, score analysis, and Spearman Rank correlation. The results showed that adaptations applied during prolonged droughts in all three zones were classified as “moderate.” The factors that affected adaptation in all three zones include age, number of family members, farming experience, income, land area, and agricultural ownership. In contrast, gender and education do not affect adaptation.
Coal combustion emission and corruption in ASEAN: Does government integrity plays moderation role?
Authors: Azzam Al Afif Rafiq , Daerobi Ahmad , Rizky Samudro Bhimo , Gravitiani Evi 
Published: April 2022

Abstract
Coal energy is a cheap and abundant source of electricity in ASEAN. Despite this, the reality of CO2 emissions from coal gets a red report card on the issue of climate change. In terms of the institutional economy, corruption is the main enemy in the issue of environmental pollution; the cleaner government agencies, the lower the environmental pollution. In particular, the research aims to find out the moderating effect of government integrity concerning corruption and CO2 emissions from coal in ASEAN. But to help construct the analysis, the paper also previously looked into the relationship between corruption and CO2 emissions from coal and found out whether economic development played a mediating effect in that relationship. Using ECM panel analysis with a sample of 9 ASEAN member states, the paper found that: (1) In the long and short term, the lower level of corruption will reduce CO2 emissions from coal. (2) FDI plays a mediating effect between corruption and CO2 emissions from coal. The scheme is that the lower the level of corruption, the FDI will decrease and reduce CO2 emissions. (3) Government integrity strengthens the relationship between corruption and CO2 emissions from coal, meaning that the more honest and non-corrupt the government will have an effect that can strengthen the relationship between corruption and CO2 emissions from coal. This study recommends that the government in ASEAN member states should be keeping public trust because it will decrease the level of corruption and can save climate change in the future.
Effectiveness of solar panel positioning and grid tie inverter (GTI) in generating solar energy in Indonesian houses
Authors: Siswantoro Dodik 
Published: April 2022

Abstract
In Indonesia, most electricity powers are based on non-renewable resources, which is not good for climate change. Therefore, the use of solar panels based on rooftops is an excellent alternative way to reduce electricity use. Thus, the objective of this paper is to analyze the effectiveness of solar panel positioning and Grid Tie Inverter (GTI) in generating solar energy for small- to medium-sized houses in Indonesia. Solar panel usage by residents living in the city may be limited, as the rooftop space in city houses is limited. GTIs can generate different types of power as they have different resources, this is good for climate change as no battery is needed In this research, two different solar panels with different positioning and angles, and connected to different types of GTI, were analyzed. The period of study was from 23rd July 2020 to 5th May 2021. The analysis was based on index comparison and movement of the sun during the said period. The result of the study indicates that the position and angle of solar panels affect the electricity generated by them. Solar panels placed in a horizontal position were observed to generate more power, and imported model inverters were observed to provide better electricity supply to homes.
Annual characteristics of gross primary productivity (GPP) in mangrove forest during 2016-2020 as revealed by Sentinel-2 remote sensing imagery
Authors: Sri Rahayu Romadhoni Linda , As-syakur Abd. Rahman , Hidayah Zainul , Budi Wiyanto Dwi , Safitri Rahma , Yusuf Satriyana Utama Raden , Made Sara Wijana I , Putra Anugrah Alfandy , Made Oka Guna Antara I 
Published: April 2022

Abstract
Carbon dioxide (CO2) is the most responsible gas in the phenomenon of global warming on earth because of its greatest concentration and longevity in the long atmosphere. Meanwhile mangrove is one of the blue carbon parameters that can take CO2 for photosynthesis and store it into biomass and sediment, so the existence of Mangrove plays a key role in the balance of the global carboncycle. Gross Primary Productivity (GPP) is one of the key variables in conducting a carboncycle study because the GPP values constitute the total value of carbon fixation by terrestrial ecosystem through vegetation photosynthesis. The aim of this study is to recognize the annual characteristics of GPP values in the mangrove ecosystem using remote sensing satellite Sentinel-2 during the period of 2016 to 2020 in TAHURA Ngurah Rai, Bali, Indonesia. The vegetation photosynthesis model (VPM) model is used to calculate annual GPP by using remote sensing indices of Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI). Both remote sensing indices are supported by temperature and solar radiation data to determine photosynthesis fraction. The results of the current study indicated that the annual GPP values in the mangrove forest of TAHURA Ngurah Rai have decreased during the observation year. The total value of GPP in 2016 is reached to 28790 tC m−2 year−1, while the total amount of GPP value in 2020 decrease to 26223 tC m−2 year−1. The decline in GPP values may be due to changes of land cover and mangrove mortality that occurred around Benoa port in 2018.
Patterns of Tetragonula Laeviceps (Smith) colony activity in KHDTK Gunung Bromo UNS
Authors: Agustina Ana , Tanding Suryandari Retno , Rawidyo Putro Tetuko 
Published: April 2022

Abstract
Due to climate change, many impacts occur on the sustainability of organisms, including the trigona bee. The occurrence of climate change not only affects decreasing honey production but also reduces the number of colonies. Presume that it can change the activity pattern of the trigona bee. This study aims to determine the pattern of activity demonstrated by Tetragonula laeviceps (Smith) colony in KHDTK Gunung Bromo UNS. This research was conducted in July 2021 at KHDTK Gunung Bromo UNS. The observation involved 128 colony boxes placed into four cages, namely cages A, B, C, and D. Observations on the activity of trigona bees starting from 06.00 WIB to 18.00 WIB, assuming trigona bee activity begins in the morning and end the activity outside the hive after sunset. The results showed that of the cages A, B, C, and D, the worker bees tend to be active in the morning (6-10 am) to collect nectars and resin. Before noon (10 to 12 noon), bee activities were decreasing. The activity of the worker bees increased between 12 to 2 pm and decreased again after that time slot. The food source most favored by trigona bees: Pinus merkusii (rp), Artocarpus heterophyllus (r), Spathiphyllum wallisii (np), and Xanthostemon chrysanthus (np). Resin extractions are very needed for bees as batumen materials, and this is due to natural enemies (lizards, ants, vespa wasps, and spiders) that appear around the cage.
A tunable quantum random number generator based on a fiber-optical Sagnac interferometer
Authors: Argillander Joakim , Alarcón Alvaro , Xavier Guilherme B 
Published: April 2022

Abstract
Quantum random number generators (QRNGs) are based on naturally random measurement results performed on individual quantum systems. Here, we demonstrate a branching-path photonic QRNG implemented using a Sagnac interferometer with a tunable splitting ratio. The fine-tuning of the splitting ratio allows us to maximize the entropy of the generated sequence of random numbers and effectively compensate for tolerances in the components. By producing single-photons from attenuated telecom laser pulses, and employing commercially-available components we are able to generate a sequence of more than 2 gigabytes of random numbers with an average entropy of 7.99 bits/byte directly from the raw measured data. Furthermore, our sequence passes randomness tests from both the NIST and Dieharder statistical test suites, thus certifying its randomness. Our scheme shows an alternative design of QRNGs based on the dynamic adjustment of the uniformity of the produced random sequence, which is relevant for the construction of modern generators that rely on independent real-time testing of its performance.
First-generation College Students Have Greater Systemic Inflammation than Continuing-Generation College Students Following the Initial College Transition: A Brief Report
Authors: Jones Emily J , Schreier Hannah M C 
Published: April 2022

Abstract

Background
First-generation college students (“first-gens”) are often at a disadvantage socially and academically; whether they are at risk physiologically is unknown despite the well-established link between greater education and better long-term health.

Purpose
To examine whether first-gens have higher levels of cardiovascular disease (CVD) risk markers relative to continuing-generation college students (“continuing-gens”).

Methods
A panel of CVD risk markers was assessed among 87 emerging adults (41 first-gens) twice over their first year of college.

Results
Compared to continuing-gens, first-gens had greater systemic inflammation (composite of averaged z-scores for C-reactive protein and interleukin-6; B = 0.515, SE = 0.171, p = .003) during the fall but not spring semester (p &gt; .05). Associations were independent of family home ownership and childhood adversity, even though first-gens were more likely to live in rental homes and reported riskier home environments. Lower childhood subjective social status (SSS) accounted for greater systemic inflammation among first-gens as evidenced by an indirect effect of college generation status on systemic inflammation through childhood SSS (a1b1 = 0.261, bootstrapped SE = 0.103, 95% boot CI [0.078, 0.482]). There were no differences in metabolic risk and latent virus regulation by college generation status in either semester (p &gt; .10).

Conclusions
This is the first study to find that first-gens have higher levels of systemic inflammation than continuing-gens following the college transition and that childhood SSS may be one explanatory pathway. First-gens may benefit from university resources that address social class differences, which should be provided early on so that first-gens can reap the health-relevant benefits of higher education, at least in the short term.
BAILA: A Randomized Controlled Trial of Latin Dancing to Increase Physical Activity in Spanish-Speaking Older Latinos
Authors: Marquez David X , Wilbur JoEllen , Hughes Susan , Wilson Robert , Buchner David M , Berbaum Michael L , McAuley Edward , Aguiñaga Susan , Balbim Guilherme M , Vásquez Priscilla M , Marques Isabela G , Wang Tianxiu , Kaushal Navin 
Published: April 2022

Abstract

Background
Latinos are the fastest growing minority group of the older adult population. Although physical activity (PA) has documented health benefits, older Latinos are less likely to engage in leisure time PA than older non-Latino whites. Dance, popular among Latinos, holds promise as a culturally relevant form of PA.

Purpose
To describe self-reported and device-assessed changes in PA as a result of a randomized controlled trial of BAILAMOS, a 4-month Latin dance program with a 4-month maintenance program, versus a health education control group.

Methods
Adults, aged 55+, Latino/Hispanic, Spanish speaking, with low PA levels at baseline, and risk for disability were randomized to the dance program (n = 167) or health education condition (n = 166). Data were analyzed using multilevel modeling with full information maximum likelihood.

Results
A series of multilevel models revealed significant time × group interaction effects for moderate-to-vigorous physical activity (MVPA), dance PA, leisure PA, and total PA. Exploring the interaction revealed the dance group to significantly increase their MVPA, dance PA, leisure PA, and total PA at months 4 and 8. Household PA and activity counts from accelerometry data did not demonstrate significant interaction effects.

Conclusions
The study supports organized Latin dance programs to be efficacious in promoting self-reported PA among older Latinos. Efforts are needed to make dancing programs available and accessible, and to find ways for older Latinos to add more PA to their daily lives.

Clinical Trial information
NCT01988233.
Psychosocial-Behavioral Phenotyping: A Novel Precision Health Approach to Modeling Behavioral, Psychological, and Social Determinants of Health Using Machine Learning
Authors: Burgermaster Marissa , Rodriguez Victor A 
Published: April 2022

Abstract

Background
The context in which a behavioral intervention is delivered is an important source of variability and systematic approaches are needed to identify and quantify contextual factors that may influence intervention efficacy. Machine learning-based phenotyping methods can contribute to a new precision health paradigm by informing personalized behavior interventions. Two primary goals of precision health, identifying population subgroups and highlighting behavioral intervention targets, can be addressed with psychosocial-behavioral phenotypes. We propose a method for psychosocial-behavioral phenotyping that models social determinants of health in addition to individual-level psychological and behavioral factors.

Purpose
To demonstrate a novel application of machine learning for psychosocial-behavioral phenotyping, the identification of subgroups with similar combinations of psychosocial characteristics.

Methods
In this secondary analysis of psychosocial and behavioral data from a community cohort (n = 5,883), we optimized a multichannel mixed membership model (MC3M) using Bayesian inference to identify psychosocial-behavioral phenotypes and used logistic regression to determine which phenotypes were associated with elevated weight status (BMI ≥ 25kg/m2).

Results
We identified 20 psychosocial-behavioral phenotypes. Phenotypes were conceptually consistent as well as discriminative; most participants had only one active phenotype. Two phenotypes were significantly positively associated with elevated weight status; four phenotypes were significantly negatively associated. Each phenotype suggested different contextual considerations for intervention design.

Conclusions
By depicting the complexity of psychological and social determinants of health while also providing actionable insight about similarities and differences among members of the same community, psychosocial-behavioral phenotypes can identify potential intervention targets in context.
Kinship, Migration, and the Chinese American Immigrant Family Narrative
Authors: Lee Christopher 
Published: April 2022

AbstractThe Asian American immigrant family narrative has been extensively discussed in relation to white domesticity and assimilation by critics who emphasize the unique conditions of Asian racialization in North America. Departing from this approach, this essay considers how the immigrant family narrative depicts kinship structures that were instrumental in sustaining the lifeworld of Chinese migrants during and in the aftermath of the exclusion period (1882–1943). Drawing on theories of racial capitalism, I argue that the appropriation of pre-existing kinship structures played a crucial role in the exploitation of Chinese migrants by sustaining a transnational remittance economy that tied migrants to their locations of origin. Through an extended reading of the opening chapter of Maxine Hong Kingston’s The Woman Warrior (1975), I trace how the text depicts the communal and intimate consequences of this social structure. Kingston’s detailed knowledge of migrant kinship relations stands in contrast with her professed confusion about Chinese culture and identity, a tension that underscores the text’s combination of speculative narrative and historical realism.… the immigrant family narrative conveys the global operations of capital even if, or more precisely because, it subordinates depictions of recognizably “economic” tropes—labor, wages, remittances, and so on—to the ostensibly private realm of family relations.
Hierarchy of fear: experimentally testing ungulate reactions to lion, African wild dog and cheetah
Authors: Rigoudy Noa L A , Clinchy Michael , Peel Mike J S , Huebner Sarah , Packer Craig , Zanette Liana Y 
Published: April 2022

AbstractExperiments have begun demonstrating that the fear (antipredator behavioral responses) large carnivores inspire in ungulates can shape ecosystem structure and function. Most such experiments have focused on the impacts of either just one large carnivore, or all as a whole, rather than the different impacts different large carnivores may have in intact multi-predator-prey systems. Experimentally testing the relative fearfulness ungulates demonstrate toward different large carnivores is a necessary first step in addressing these likely differing impacts. We tested the fearfulness ungulates demonstrated to playbacks of lion (Panthera leo), African wild dog (Lycaon pictus), cheetah (Acinonyx jubatus) or non-predator control (bird) vocalizations, in Greater Kruger National Park, South Africa. Ungulates ran most to lions, then wild dogs, and then cheetahs, demonstrating a very clear hierarchy of fear. Those that did not run looked toward the sound more on hearing large carnivores than controls, looking most on hearing lions. Notably, prey species-specific population level kill rates by each predator did not predict the patterns observed. Our results demonstrate that different large carnivores inspire different levels of fear in their ungulate prey, pointing to differing community-level impacts, which we discuss in relation to the ongoing worldwide decline and loss of large carnivores.
Ecological adaptation and birdsong: how body and bill sizes affect passerine sound frequencies
Authors: Friis Jakob Isager , Sabino Joana , Santos Pedro , Dabelsteen Torben , Cardoso Gonçalo C 
Published: April 2022

AbstractThe avian bill is finely adjusted to foraging ecology and, as part of the vocal tract, it may also affect sexual signals such as songs. Acoustic theory predicts that larger bills lower the resonant frequency of vocal tracts, allowing larger-billed species to emphasize lower sound frequencies. Theory also predicts that identical changes in bill gape allow singing over a wider frequency bandwidth in larger-billed species. We tested these associations between bill size and sound frequencies of song, controlling for body mass, across ca. 1000 taxonomically-diverse passerines. Phylogenetically informed analyses indicated that both bill and body sizes are negatively related to the sound frequency of songs, with additive effects of similar strength. Analyses of reduced datasets, to decrease bill-body size associations, indicated that the effect of bill size remains identical and is thus not an artefact of its covariation with body size. Sound frequency bandwidth was only related to body size but not bill size, perhaps because large bills may allow greater modulation of frequency but also hinder fast bill movement. Since the bill has a major role explaining species differences in birdsong sound frequency, it can be a magic trait that promotes reproductive isolation as a consequence of ecological divergence.
Dysregulated ligand–receptor interactions from single-cell transcriptomics
Authors: Liu Qi , Hsu Chih-Yuan , Li Jia , Shyr Yu 
Published: April 2022

AbstractMotivationIntracellular communication is crucial to many biological processes, such as differentiation, development, homeostasis and inflammation. Single-cell transcriptomics provides an unprecedented opportunity for studying cell-cell communications mediated by ligand–receptor interactions. Although computational methods have been developed to infer cell type-specific ligand–receptor interactions from one single-cell transcriptomics profile, there is lack of approaches considering ligand and receptor simultaneously to identifying dysregulated interactions across conditions from multiple single-cell profiles.ResultsWe developed scLR, a statistical method for examining dysregulated ligand–receptor interactions between two conditions. scLR models the distribution of the product of ligands and receptors expressions and accounts for inter-sample variances and small sample sizes. scLR achieved high sensitivity and specificity in simulation studies. scLR revealed important cytokine signaling between macrophages and proliferating T cells during severe acute COVID-19 infection, and activated TGF-β signaling from alveolar type II cells in the pathogenesis of pulmonary fibrosis.Availability and implementationscLR is freely available at https://github.com/cyhsuTN/scLR.Supplementary informationSupplementary data are available at Bioinformatics online.