bluuebunny/crossref_metadata_2025_split huggingface dataset:
Willingness to pay and sustainable water resources management preference of the community in Parerejo, Lampung Province, Indonesia
Authors: Chayyani N R , Gravitiani E , Suryanto  , Perwithosuci W 
Published: July 2021

Abstract
Indonesia has abundant water resources in the rainy season but experiences water scarcity during the dry season. The need for sustainable management of water resources in overcoming hydrometeorological disasters such as floods and drought. The purpose of this study was to determine the value of willingness to pay, factors that influence willingness to pay, and the conservation policy chosen by the people of Parerejo Village in realizing sustainable water resource management. The policies offered in the management of sustainable water resources are greening, infiltration wells, and bio-pores. This study uses the Contingent Valuation Method (CVM) to see the influencing factors of willingness to pay and descriptive analysis to see preference policy accepted by society. The data used are primary data obtained from 156 respondents. The study showed that the willingness to pay for Parerejo village communities in the management of water resources is still low at ≤ IDR 50,000.00. Only variables of education and knowledge about water scarcity significantly influenced the willingness to pay for water resources management. Based on the descriptive analysis, the communities preferred the greening policies solution for sustainable water resources management.
Communicating climate change policy to people in rural area
Authors: Alkhajar E N S , Luthfia A R 
Published: July 2021

Abstract
Climate change is a real problem threatening all human beings in the world. Therefore, everyone has a responsibility to reduce the climate change impacts. Based on research, opinion leaders can play various important roles in the societal life. One of them is to disseminate government policies in rural area. This study focused to examine opinion leaders’ strategy to communicate climate change policy in rural area. This research employed descriptive qualitative method. The data were taken through interviews, observation and documentation. The results showed that the opinion leaders employed various formal and informal strategies to communicate climate change policy to their community. They were evidently important actors to boost the successful of climate change policy implementation. This research confirmed that opinion leaders especially in rural area posits important roles in the societal life.
Climate change in The Lesser Sunda Islands: The harsh region in the maritim continent of Indonesia
Authors: Mahrup  , Ma’shum M , Fahrudin  
Published: July 2021

Abstract
The Lesser Sunda islands, i.e. Bali, West and East Nusa Tenggara are locus of the harsh climate regime in Indonesia. The research was conducted in 2020 by a Descriptive method that aims to identify occurrence of climate change represented by anomalies of sea surface temperature (SST), air temperature, precipitation, and wind vector. The study area was focused on the convergence zone of the South Indian Ocean extending from 0° to 10°S, and 114° to 130°E. The temporal observation was at a peak of the rainy season in February and a transition period in March and April. Changes in climate variables were quantified by a test of two linear regression slopes and a binomial probability. Climate data were acquired from the International Research Institute (IRI) in a span of 30 years (1990 to 2020), with exception of air temperature from 1920 to 2020. Results showed that rainfall and SST had changed since 2005, and air temperature since 1995. Rainfall was significantly decreased afterward. SST and air temperature subsequently increased. The impact of climate change was compounded by wind vector anomalies in February, March and April. In conclusion, the Lesser Sunda Islands had experienced the ongoing climate change, indicated by lowering annual rainfall by 130.8 mm, increasing SST by 0.8°C and air temperature by 0.1°C in a decade respectively. In addition, Persistence Westerly winds through the end of April possibly induced severe flooding, on the other hand, the early emergence of southeast Trade winds before April could result in severe drought.
Bali Arts Festival: a contributor to sustainable development?
Authors: Wulandari I G A A , Purnami A A S , Mahagangga G A O 
Published: July 2021

Abstract
Climate change is a negative impact of massive community activities in the industrial and service sectors. Therefore, minimizing the effects of climate change is one of the 17 sustainable development goals. One of the principles of sustainable development is environmental preservation, which is a combination of nature and culture. Cultural conservation has become a concern of sustainable development in Bali since the tourism sector in Bali has grown rapidly and was manifested decades ago in the form of a cultural festival, the Bali Arts Festival. Even though it has been held dozens of times, the phenomenon that often comes to the surface is the suitability of holding the Bali Arts Festival with its initial aim of conserving local culture and its proof. This research uses qualitative methods with qualitative descriptive technique analysis. The results of the research show that the implementation of the Bali Arts Festival which refers to the sustainable development of Bali has a positive impact not only on the local economy but also on culture, which indirectly has a positive impact on the preservation of the natural environment. Thus, it is important to maintain the continuity of organizing the Bali Arts Festival as a bulwark against the threat of degradation of the natural and cultural environment.
Corporate social responsibility, earnings management, and firm performance: Are the companies really ethical?
Authors: Widagdo A.K. , Murni Sri , Nurlaela Siti , Rahmawati  
Published: July 2021

Abstract
Climate change challenges present organizations (e.g., companies, corporations, nongovernmental organizations (NGOs)), communities, and citizens with the need to redefine current views on corporate social responsibility (CSR) from a voluntary luxury as being a necessity. CSR can be an effective tool for mitigating climate change. Firms have to redress climate change through environment-friendly manufacturing techniques, adopting a green, transparent policy and environmental disclosure. Based on the extant literature, CSR activities can create a positive image for the company and increase company value. However, some scholars also argue that CSR activity may also be used to hide the opportunistic behaviour of management, namely earnings management. Therefore, the purpose of this study is to examine the relationship between CSR and a firm’s performance and the moderating role of earnings management on the relationship between CSR and firm performance. The sample of this research is the mining sector because this sector is included in a high-profile company, which is vulnerable to environmental damage issues. The period of observation is 2015-2019. The method of analysis uses the panel data method. The results indicate that CSR has a positive and significant relationship with a firm’s values. In addition, earnings management does not moderate the relationship between CSR and a firm’s value. It indicates that earnings management is not a moderating variable but a predictor variable/independent variable. The finding implies that the firms do not make social responsibility activities a symbolic activity used as a means by management to cover earnings management activities.
Perception of e-business adoption in agribusiness MSMEs
Authors: Khomah I , Rahayu E S , Handayani S M 
Published: July 2021

Abstract
Climate change is unavoidable due to global warming and will have a broad impact on every aspect of life, including agriculture. This poses a significant threat to the agricultural sector. Furthermore, it raises new problems of the sustainability of food production and agricultural production systems in general. This has an indirect impact on agribusiness MSME, particularly in terms of the availability of food for raw materials for MSME products. Furthermore, agribusiness MSMEs should be competitive to face the global market. As a consequence, they should embrace innovations that support business activities in the current era of the Industrial Revolution 4.0. Using e-business in their business practices is one of the efforts that agribusiness MSMEs can make. E-business is a type of internet-based business practice that can help improve the efficiency of various business processes. This research aims to determine the perceptions and levels of e-business adoption among agribusiness MSMEs in Sukoharjo Regency. The survey method was used in this study, along with the purposive sampling technique. A questionnaire was used to gather data from 252 agribusiness MSMEs in Sukoharjo. An in-depth interview was used to identify the research variable indicators more thoroughly. The results reveal that the frequency of e-business use by MSME actors in Sukoharjo Regency remains low. However, MSME actors have a positive perception of the benefits of using e-business. Therefore, there is a great opportunity for the future implementation of e-business.
Effect of texture characteristics on the high-cycle fatigue properties of a Ti-6Al-4V alloy
Authors: Yang Huanping , Yan Wenbin , Zhuang Wei , Wang Yaomian 
Published: July 2021

Abstract
A Ti-6Al-4V alloy was rolled at different temperatures and subsequently annealed to obtain fatigue samples with different texture characteristics. The samples were then subjected to tension-tension high-cycle fatigue (HCF) tests and the fracture morphology was observed to correlate the texture characteristics with the HCF properties. The results show that the texture intensity significantly affects the HCF strength for the equiaxed microstructure of Ti-6Al-4V alloys with an equivalent grain size and the same texture type; also, the HCF strength decreases with increasing texture intensity. The fracture morphology observation and Schmid factor calculation show that planar facets, which are a characteristic feature of crack initiation sites, are formed due to the strength mismatch caused by the inhomogeneous slip distribution favored either for prismatic or basal slip. The effect of the texture intensity on the HCF properties can be explained by the influence of the number of pile-up locations of ‘soft’ grains neighboring ‘hard’ grains in the typical Stroh model that elucidates the planar facet formation mechanism.
Annealing treatment for improving the mechanical properties of 00Cr18Nb ferritic stainless steel prepared by investment casting
Authors: Hu Yu-Kun , Mao Wei-Min 
Published: July 2021

Abstract
The as-cast and annealed mechanical properties of 00Cr18Nb ferritic stainless steel prepared by investment casting process were studied. Experimental results indicated that the problem of unstable plastic fluctuations in the as-cast state can be effectively solved by annealing treatment. The plasticity of the investment-cast 00Cr18Nb steel after annealing at 800 and 850 °C was more stable than that of 900 °C. It showed that the optimum annealing condition was 850 °C for 2 h with the appropriate elongation and tensile strength of 26.3 ± 0.4% and 513 ± 4 MPa, respectively. The main reason for annealing to improve plasticity is the Laves phase in the microstructure, which has better effects on mechanical properties than (Ti,Nb)(C,N) particles and grain size. With the increase of annealing temperature and time, the size of Laves phase tended to increase. The size, quantity, morphology and distribution of Laves phase after annealing are closely related to the mechanical properties. The Laves phase with a large amount of uniform distribution in the form of small particles can effectively improve the mechanical properties after annealing treatment.
CHIT: an allele-specific method for testing the association between molecular quantitative traits and phenotype–genotype interaction
Authors: Yan Qi , Forno Erick , Celedón Juan C , Chen Wei , Weeks Daniel E 
Published: July 2021

Abstract

Motivation
Allele-specific differences in molecular traits can be obtained from next-generation sequencing data and could potentially improve testing power, but such information is usually overlooked in association studies. Furthermore, the variation of molecular quantitative traits (e.g. gene expression) could result from the interaction effect of genotypes and phenotypes, but it is challenging to identify such interaction signals in complex disease studies in humans due to small genetic effect sizes and/or small sample sizes.

Results
We develop a novel statistical method, the combined haplotype interaction test (CHIT), which tests for association between molecular quantitative traits and phenotype–genotype interactions by modeling the total read counts and allele-specific reads in a target region. CHIT can be used as a supplementary analysis to the regular linear interaction regression. In our simulations, CHIT obtains non-inflated type I error rates, and it has higher power than a standard interaction quantitative trait locus approach based on linear regression models. Finally, we illustrate CHIT by testing associations between gene expression obtained by RNA-seq and the interaction of SNPs and atopy status from a study of childhood asthma in Puerto Ricans, and results demonstrate that CHIT could be more powerful than a standard linear interaction expression quantitative trait loci approach.

Availability and implementation
The CHIT algorithm has been implemented in Python. The source code and documentation are available and can be downloaded from https://github.com/QiYanPitt/CHIT.

Supplementary information
Supplementary data are available at Bioinformatics online.
Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search
Authors: Zhu Yanming , Meijering Erik 
Published: July 2021

Abstract

Motivation
Live cell segmentation is a crucial step in biological image analysis and is also a challenging task because time-lapse microscopy cell sequences usually exhibit complex spatial structures and complicated temporal behaviors. In recent years, numerous deep learning-based methods have been proposed to tackle this task and obtained promising results. However, designing a network with excellent performance requires professional knowledge and expertise and is very time-consuming and labor-intensive. Recently emerged neural architecture search (NAS) methods hold great promise in eliminating these disadvantages, because they can automatically search an optimal network for the task.

Results
We propose a novel NAS-based solution for deep learning-based cell segmentation in time-lapse microscopy images. Different from current NAS methods, we propose (i) jointly searching non-repeatable micro architectures to construct the macro network for exploring greater NAS potential and better performance and (ii) defining a specific search space suitable for the live cell segmentation task, including the incorporation of a convolutional long short-term memory network for exploring the temporal information in time-lapse sequences. Comprehensive evaluations on the 2D datasets from the cell tracking challenge demonstrate the competitiveness of the proposed method compared to the state of the art. The experimental results show that the method is capable of achieving more consistent top performance across all ten datasets than the other challenge methods.

Availabilityand implementation
The executable files of the proposed method as well as configurations for each dataset used in the presented experiments will be available for non-commercial purposes from https://github.com/291498346/nas_cellseg.

Supplementary information
Supplementary data are available at Bioinformatics online.
Morphology of the limb, shell and head explain the variation in performance and ecology across 14 turtle taxa (12 species)
Authors: Butterfield Taggert G , Herrel Anthony , Olson Mark E , Contreras-Garduño Jorge , Macip-Ríos Rodrigo 
Published: July 2021

Abstract
Given that morphology directly influences the ability of an organism to utilize its habitat and dietary resources, it also influences fitness. Comparing the relationship between morphology, performance and ecology is fundamental to understand how organisms evolve to occupy a wide range of habitats and diets. In turtles, studies have documented important relationships between morphology, performance and ecology, but none was field based or considered limb, shell and head morphology simultaneously. We compared the morphology, performance and ecology of 14 turtle taxa (12 species) in Mexico that range in their affinity to water and in their diet. We took linear measurements of limb, shell and head variables. We measured maximum swimming speed, maximum bite force and how often turtles were encountered on land, and we used stable isotopes to assess trophic position. We used these data to test the following three hypotheses: (1) morphology, performance and ecology covary; (2) limb and shell variables, like hand length, are correlated with swimming speed and the percentage of time spent on land; and (3) head variables, such as head width, are correlated with bite force and stable isotopes. We find support for these hypotheses and provide the first evidence that morphology influences performance and ecology in turtles in the field.
Restoration of motor function after CNS damage: is there a potential beyond spontaneous recovery?
Authors: Dietz Volker 
Published: July 2021

Abstract
What determines the effectiveness of neurorehabilitation approaches on the outcome of function in stroke or spinal cord injured subjects? Many studies claim that an improvement of function is based on the intensity of training, while some actual studies indicate no additional gain in function by a more intensive training after a stroke. Inherent factors seem to determine outcome, such as damage of specific tracts in stroke and level of lesion in spinal cord injured subjects, while the improvement of function achieved by an intensive training is small in relation to the spontaneous recovery. It is argued that an individual capacity of recovery exists depending on such factors. This capacity can be exploited by a repetitive execution of functional movements (supported as far as required), irrespective of the intensity and technology applied. Elderly subjects have difficulties to translate the recovery of motor deficit into function. Alternative, non-training approaches to restore motor function, such as epidural or deep brain stimulation as well as CNS repair are still in an early clinical or in a translational stage.
Donor-derived Ehrlichiosis: 2 Clusters Following Solid Organ Transplantation
Authors: Saha Aditi , Browning Charles , Dandamudi Raja , Barton Kevin , Graepel Kevin , Cullity Madeline , Abusalah Wala , Christine Du , Rossi Carla , Drexler Naomi , Basavaraju Sridhar V , Annambhotia Pallavi , Guillamet Rodrigo Vazquez , Eid Albert J , Maliakkal Joseph , Miller Aaron , Hugge Christopher , Dharnidharka Vikas R , Kandula Praveen , Moritz Michael J 
Published: July 2021

Abstract
Ehrlichiosis has been infrequently described as transmissible through organ transplantation. Two donor-derived clusters of ehrlichiosis are described here. During the summer of 2020, 2 cases of ehrlichiosis were reported to the Organ Procurement and Transplantation Network (OPTN) and the Centers for Disease Control and Prevention (CDC) for investigation. Additional transplant centers were contacted to investigate similar illness in other recipients and samples were sent to the CDC. Two kidney recipients from a common donor developed fatal ehrlichiosis-induced hemophagocytic lymphocytic histiocytosis. Two kidney recipients and a liver recipient from another common donor developed ehrlichiosis. All 3 were successfully treated. Clinicians should consider donor-derived ehrlichiosis when evaluating recipients with fever early after transplantation after more common causes are ruled out, especially if the donor has epidemiological risk factors for infection. Suspected cases should be reported to the organ procurement organization and the OPTN for further investigation by public health authorities.
Nabe: an energetic database of amino acid mutations in protein–nucleic acid binding interfaces
Authors: Liu Junyi , Liu Siyu , Liu Chenzhe , Zhang Yaping , Pan Yuliang , Wang Zixiang , Wang Jiacheng , Wen Ting , Deng Lei 
Published: July 2021

Abstract
Protein–nucleic acid complexes play essential roles in regulating transcription, translation, DNA replication, repair and recombination, RNA processing and translocation. Site-directed mutagenesis has been extremely useful in understanding the principles of protein–DNA and protein–RNA interactions, and experimentally determined mutagenesis data are prerequisites for designing effective algorithms for predicting the binding affinity change upon mutation. However, a vital challenge in this area is the lack of sufficient public experimentally recognized mutation data, which leads to difficulties in developing computational prediction methods. In this article, we present Nabe, an integrated database of amino acid mutations and their effects on the binding free energy in protein–DNA and protein–RNA interactions for which binding affinities have been experimentally determined. Compared with existing databases and data sets, Nabe is the largest protein–nucleic acid mutation database, containing 2506 mutations in 473 protein–DNA and protein–RNA complexes, and of that 1751 are alanine mutations in 405 protein–nucleic acid complexes. For researchers to conveniently utilize the data, Nabe assembles protein–DNA and protein–RNA benchmark databases by adopting the data-processing procedures in the majority of models. To further facilitate users to query data, Nabe provides a searchable and graphical web page.
Database URL: http://nabe.denglab.org
Multicentre prospective observational study for pulmonary vein stump thrombus after anatomical lung resections
Authors: Hattori Aritoshi , Takamochi Kazuya , Shiono Satoshi , Tsuboi Masahiro , Maniwa Yoshimasa , Suzuki Kazuhiro , Suzuki Kenji 
Published: July 2021

Abstract

OBJECTIVES
Our goal was to evaluate the incidence and frequent sites of pulmonary vein stump thrombus (PVST) formation after pulmonary resection.

METHODS
This is a prospective multicentre observational study conducted by 14 institutions in Japan. Enrolled patients underwent anatomical pulmonary resection including lobectomy, bilobectomy, pneumonectomy, left upper trisegmentectomy or lingular segmentectomy. Postoperative contrast-enhanced computed tomography was performed in the early period after the pulmonary resection to evaluate the incidence of PVST. Furthermore, univariable and multivariable analyses were performed to assess the risk factors associated with PVST using a logistic regression model.

RESULTS
The status of PVST based on postoperative contrast-enhanced computed tomography scans was prospectively evaluated for 1040 patients. Postoperative computed tomography evaluation was performed for 3 (range: 1–84) days on average after the pulmonary resection. PVST was found in 127 (12.2%) patients with left-sided (23.3%) predominance compared to the right side (4.9%) (P &lt; 0.001). Furthermore, left upper lobectomy was the most frequent operative procedure (30.8%). Multivariable analyses demonstrated that left upper lobectomy (P = 0.001) and left-sided pulmonary resection (P &lt; 0.001) were independent significant predictors of PVST. Cerebral infarction was observed in 9 (0.87%) patients during this period and included 6 (1.46%) in whom it developed after the operation was performed on the left side. Especially in the early postoperative phase, left pulmonary resection was significantly associated with the incidence of cerebral infarction (0.16% vs 1.21%; P = 0.028).

CONCLUSIONS
PVST is an early postoperative event that is frequently observed in patients undergoing left anatomical pulmonary resection, especially a left upper lobectomy.

IRB number
16-205, Clinical trial registry: UMIN000027118.