bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smallholder adoption of horticultural crops: the case of dragon fruit in Southeast Sulawesi
Authors: Saediman Haji , Mboe Ilham Saediman , Budiyanto Budiyanto , Sarinah Sarinah , Hidrawati Hidrawati 
Published: July 2021

Abstract
Dragon fruit was planted in Indonesia starting in 2000 and has gained popularity since then due to its good taste, high nutrient contents, and many health benefits. The present study aimed to assess the adoption of dragon fruit in South Konawe District of Southeast Sulawesi province. Data collection was done in Pohuto Jaya village in South Konawe District. All dragon fruit growers (30 persons) in the village were taken as respondents. Data were collected through the questionnaire-based interview with the growers and in-depth interviews with agricultural extension officers. Data were analyzed using Cost and Returns analysis and descriptive statistics. Research results showed that dragon fruit production is profitable with high net returns. Farmers perceived several advantages of dragon fruit farming, namely easy to cultivate, shorter time to flowering, harvesting throughout the year, low risk of harvest failure, and reasonable market price. Other farmers were the most important source of information, followed by the social media. Farmers who perceived their skills in dragon fruit cultivation as being good was only 23.3 percent, indicating the importance of improving their knowledge and skills through various means. The local government should provide regular extension services and other supports to improve productivity and sustainability of dragon fruit farming in the district and province as a whole.
Structure and similarities of Understorey Vegetation Communities in the mining area of PT. Indocement Tunggal Prakarsa Tbk. Palimanan Unit, Cirebon
Authors: Nasihin Iing , Kosasih Dede , Herlina Nina , Nurlaila Ai 
Published: July 2021

Abstract
The success of post-mining ecosystem reclamation is determined by a successful succession process. An Understorey is a group of vegetation that grows in the early stages of succession. This study aims to determine the structure and similarity of communities in various types of ecosystems in the mining area of PT. Indocement Tunggal Prakarsa Tbk. Palimanan Unit. The data collection method used line transect with a size of 1 m x 1 m at 7 (seven) locations, namely AKGB, TDP, TLP, AP, ASB, SD, APS. The number of plots is 140 plots. Data collection was carried out in the rainy and dry season. Found as many as 181 species of Understorey. Dominant and index H’ species Commelina benghalensis in Rainy season and Cynodon dactyl on dry season. The similarity of Understorey communities between observation locations in the rainy and dry seasons varies. In the observation of the rainy season, the observation location with the highest community similarity was between AP and SD (48.13%). The lowest community similarity in the rainy season was found between AKGB and APS locations (1.95%). In the dry season observation, the location with the highest similarity was between TLP and AP (74.18%), and the location with the lowest similarity was TDP and TLP (0.18%).
Activity of valerian catalase in Ultisol growing media by adding humic acid
Authors: Proklamasiningsih Elly , Widodo Pudji 
Published: July 2021

Abstract
Ultisols are soil in marginal lands which contain high Al and Fe, allowing the growing plants to have self-defense strategies by increasing catalase enzyme activity. The purpose of this study was to examine the response of valerian to Ultisol growing media by giving humic acid to the activity of the catalase enzyme, and to determine the potential planting medium to increase the activity of the catalase enzyme. The research method used was experimental with 2 factors of factorial completely randomized design (CRD). The first factor is the planting medium which consists of two media types namely (1) Ultisols and (2) Ultisols + organic matter. The second factor is the concentration of humic acid which consists of 4 treatment levels namely 0 g/kg; 4 g/kg; 8 g/kg and 12 g/kg. Of the two factors observed, 8 treatment combinations were produced, each with 3 replications. Parameters observed were catalase enzyme activity and growth parameters. As supporting data, the content of N, P, K, Ca, Mg, S, Mn, Fe, and Al in Ultisols have been analyzed. The results showed that the growing medium had an effect on the catalase enzyme activity. Catalase activity is influenced by the planting medium, plants that experience stress increase the catalase activity. Valerian grown on Ultisol growing media increased catalase activity, whereas those in Ultisol growing media with the addition of organic matter decreased catalase activity.
Distribution and association of Ficus spp in the shrubs area of Gunung Ciremai National Park Indonesia
Authors: Hendrayana Yayan , Supartono Toto , Adhya Ilham , Ismail Agus Yadi , Kosasih Dede 
Published: July 2021

AbstractThe existence of Ficus spp in shrubs areas which is a type of pioneer tree is not widely known so this research aims to obtain information on the distribution and association of Ficus spp. in the shrubs area of Gunung Ciremai National Park. Collecting data using purposive sampling method which then made sample plots with an area of 0.04 hectares each of 73 plots. The results of this study were there were 10 types of Ficus spp, including Ficus hispida, Ficus fistulosa, Ficus variegate, Ficus padana, Ficus septica, Ficus ribes, Ficus calophylla, Ficus benjamina, Ficus ampelas, and Ficus sp. They are spread from an altitude of 726 - 912 m asl. The most individuals found were Ficus hispida (77 individuals) and Ficus fistulosa (67 individuals). Of the 45 pairs there are 10 pairs that are significantly different or associated, 2 are positively associated and 8 pairs are negatively associated. This information is very important for area rehabilitation activities, especially in shrubs areas
Use of faecal pellet count method in estimating population density of mammals in Gunung Ciremai National Park
Authors: Supartono Toto , Adhya Ilham , Hendrayana Yayan , Kosasih Dede , Yudayana Bambang 
Published: July 2021

AbstractPopulation data is very necessary in the conservation of a species and area management. However, population estimation often faces obstacles, such as difficulty meeting individual animals directly. The purpose of this study were to identify the types of mammals based on the presence of feces and to analyze the types of mammals whose population estimation can use the pellet count method. Research in the form of experiments was carried out in two blocks by clearing the forest floor measuring 9 m2 with 35 sample plots and the distance between the plots was 100 meters. Observations have also been made on patrol routes and access roads. Data analysis was carried out descriptively. Research has found feces of Felis bengalensis and Paradoxurus hermaphroditus species specifically from sample plots. Apart from these two species, research has recorded the excrement of Sus scrofa, Muntiacus muntjac, and Panthera pardus species on the patrol and access roads. This study shows that it is possible to estimate wildcat and civet populations by using the method of counting the feces in the sample unit in the form of plots. Based on this method, the density of the wildcat was around 0.026 ind/ha and the civet were around 2.8 ind/ha. The combination of sample unit forms (sample plots, paths, patrol lines, and access roads) can accommodate other animal species in population estimation using this method
Production Planning and Inventory Control of Atonic Fertilizer Products Using Static Lot Sizing Method
Authors: Tannady Hendy , Renwarin Joseph M J , Cora Andi Nurhikmah Daeng , Purwanto Edi 
Published: July 2021

Abstract
This research was conducted at one national manufacturer that focus on production and distribution of fertilizer products. The name of the firm is PT OAT Mitoku Agrio (OMA), OMA is a company that works as a registration holder, importer of raw materials, formulators, and marketers of Atonic growth regulators and Metallic organic fertilizers that are widely used by farmers in Indonesia. Economic Order Quantity (EOQ) is one of the calculations method used to determine the quantity of company orders with a predetermined frequency and when is the appropriate time for the firm to make a reorder. This method aims to minimize total inventory cost so that inventory efficiency runs well, thus an optimal number of ordering units can be reached with minimum costs. Based on the results of this study, the EOQ method provides the most optimal order quantity with a most minimum cost.
Direct synthesis of substrate-independent nanoparticles for antibacterial application
Authors: Ye Wei , Wang Nan , Wang Lingren , Liu Sen , Zhang Chao , Liu Jingjing , Xin Jiang , Ding Hongyan 
Published: July 2021

Abstract
In the present study, we designed a substrate-independent antimicrobial nanoparticle (SNP) via self-assembly of poly (acrylic acid) (PAA) and poly (diallyl dimethyl ammonium chloride) (PDDA). The prepared nanoparticle, with a cube structure, as revealed by scanning electron microscope (SEM), maintained structural integrity even after extensive washing. In addition, the SNP was endowed with substrate-independent adhesive affinity to various surfaces by carbodiimide reaction owing to the carboxyl group of PAA. The results of blood compatibility and cytocompatibility demonstrated that the SNP had a limited effect on blood coagulation and cell proliferation. The results of antibacterial tests indicated that the SNP exhibited significant inhibition ability for both gram-negative and gram-positive bacteria, reducing cell amount by 97.2% and 98.2% within 24 h for Escherichia coli and Staphylococcus aureus, respectively. The hemocompatibility and cytocompatibility were attributed to the introduction of carboxyl group, and the significantly antimicrobial property was ascribed to the introduction of PDDA. Furthermore, the SNP maintained outstanding long-term antimicrobial property. In general, it was believed that the designed SNP probably showed potential for applications in various biological and clinical fields.
Synthesis, characterization and CO2 adsorption studies of DABCO based pillared Zn-BDC and Co-BDC metal organic frameworks
Authors: Aamer Ijlal , Iqbal Naseem , Noor Tayyaba , Asghar Aisha 
Published: July 2021

Abstract
This study focuses on pre-synthetic functionalized MOF material normally known as pillared layer MOFs. An additional component DABCO (1,4-diazabicyclo[2.2.2] octane) is added to the MOFs which works as a pillar to produce 3D structured MOFs. Zn-BDC-DABCO and Co-BDC-DABCO were studied for their performance in CO2 capture application. The addition of DABCO turns the 2D-layered metal-BDC lattice into a 3D structure with enhanced performance for CO2 capture. The MOFs were characterized using XRD, SEM, TGA, FTIR, and BET, and the CO2 capture capacity was tested at 25 °C and 0–25 bar. Zn-BDC-DABCO and Co-BDC-DABCO showed a maximum adsorption capacity of 6.3 and 4.4 mmol g−1 CO2.
Bayesian calibration of order and diffusivity parameters in a fractional diffusion equation
Authors: Alzahrani Hasnaa H , Lucchesi Marco , Mustapha Kassem , Le Maître Olivier P , Knio Omar M 
Published: July 2021

AbstractThis work focuses on parameter calibration of a variable-diffusivity fractional diffusion model. A random, spatially-varying diffusivity field with log-normal distribution is considered. The variance and correlation length of the diffusivity field are considered uncertain parameters, and the order of the fractional sub-diffusion operator is also taken uncertain and uniformly distributed in the range(0,1). A Karhunen-Loève (KL) decomposition of the random diffusivity field is used, leading to a stochastic problem defined in terms of a finite number of canonical random variables. Polynomial chaos (PC) techniques are used to express the dependence of the stochastic solution on these random variables. A non-intrusive methodology is used, and a deterministic finite-difference solver of the fractional diffusion model is utilized for this purpose. The PC surrogates are first used to assess the sensitivity of quantities of interest (QoIs) to uncertain inputs and to examine their statistics. In particular, the analysis indicates that the fractional order has a dominant effect on the variance of the QoIs considered, followed by the leading KL modes. The PC surrogates are further exploited to calibrate the uncertain parameters using a Bayesian methodology. Different setups are considered, including distributed and localized forcing functions and data consisting of either noisy observations of the solution or its first moments. In the broad range of parameters addressed, the analysis shows that the uncertain parameters having a significant impact on the variance of the solution can be reliably inferred, even from limited observations.
Healthcare system conversion to a biosimilar: Trials and tribulations
Authors: Lam Simon W , Amoline Kevin , Marcum Christopher , Leonard Mandy 
Published: July 2021

Abstract

Purpose
While biologic medications have transformed the care and management of millions of patients, they are a large financial strain on the healthcare system. Biosimilar medications present a great opportunity to improve care affordability. However, despite streamlined approval processes and the potential for cost savings, the acceptance and adoption of biosimilars have been slow. This descriptive report illustrates the preparation for, challenges of, and execution of an enterprise-wide biosimilar conversion within a large healthcare system. The 3 phases of biosimilar conversion utilized at our institution included selection of a biosimilar, pharmacy and therapeutics (P&T) committee approval, and implementation.

Summary
When selecting a biosimilar, clinical data, medication safety, cost, institutional cost savings, payer coverage, patient assistance programs, and additional patient services should be taken into consideration to ensure patient care is not affected. Understanding and endorsement of biosimilar use by physician leadership, care managers, and pharmacists are crucial before implementation. P&T committee approval with clear delineation of the patient population (naive vs experienced), disease states, and whether the biosimilar would be the preferred medication should be obtained. Transparent communication of clear expectations to patients and coordination with the information technology (IT), contracting, and supply chain departments are necessary before the go-live date. Contracting and IT implementations should ideally take potential changes in biosimilar adoption into consideration and have enough flexibility to account for these changes. Planned evaluations of patients’ experiences with the change to the biosimilar should be incorporated as part of the implementation plan.

Conclusion
The barriers to biosimilar adoption are plentiful. Careful planning, clear communication, and coordination with all affected disciplines can ensure successful biosimilar conversion.
Comparative analysis of microRNA expression profiles in the colons of specific pathogen-free mice and germ-free mice
Authors: Aoki Ayako , Aoki Reiji , Yatagai Madoka , Kawasumi Toshiyuki 
Published: July 2021

ABSTRACT
MicroRNAs play an important role in microbiota–host crosstalk. In this study, we compared microRNA expression in whole colons of specific pathogen-free mice and germ-free mice. Forty-eight microRNAs were differentially expressed by more than 2-fold. Gene ontology analysis of the predicted mRNA targets revealed that the majority of the most significant gene ontology terms were related to GTPases and nerves.
Stable Iterative Variable Selection
Authors: Mahmoudian Mehrad , Venäläinen Mikko S , Klén Riku , Elo Laura L 
Published: July 2021

AbstractMotivationThe emergence of datasets with tens of thousands of features, such as high-throughput omics biomedical data, highlights the importance of reducing the feature space into a distilled subset that can truly capture the signal for research and industry by aiding in finding more effective biomarkers for the question in hand. A good feature set also facilitates building robust predictive models with improved interpretability and convergence of the applied method due to the smaller feature space.ResultsHere, we present a robust feature selection method named Stable Iterative Variable Selection (SIVS) and assess its performance over both omics and clinical data types. As a performance assessment metric, we compared the number and goodness of the selected feature using SIVS to those selected by Least Absolute Shrinkage and Selection Operator regression. The results suggested that the feature space selected by SIVS was, on average, 41% smaller, without having a negative effect on the model performance. A similar result was observed for comparison with Boruta and caret RFE.Availability and implementationThe method is implemented as an R package under GNU General Public License v3.0 and is accessible via Comprehensive R Archive Network (CRAN) via https://cran.r-project.org/package=sivs.Supplementary informationSupplementary data are available at Bioinformatics online.
Role of inflammation in alcohol-related brain abnormalities: a translational study
Authors: Lanquetin Anastasia , Leclercq Sophie , de Timary Philippe , Segobin Shailendra , Naveau Mikaël , Coulbault Laurent , Maccioni Paola , Lorrai Irene , Colombo Giancarlo , Vivien Denis , Rubio Marina , Pitel Anne-Lise 
Published: July 2021

AbstractBrain abnormalities observed in alcohol use disorder are highly heterogeneous in nature and severity, possibly because chronic alcohol consumption also affects peripheral organs leading to comorbidities that can result in exacerbated brain alterations. Despite numerous studies focussing on the effects of alcohol on the brain or liver, few studies have simultaneously examined liver function and brain damage in alcohol use disorder, and even fewer investigated the relationship between them except in hepatic encephalopathy. And yet, liver dysfunction may be a risk factor for the development of alcohol-related neuropsychological deficits and brain damage well before the development of liver cirrhosis, and potentially through inflammatory responses. The use of animal models enables a better understanding of the pathophysiological mechanisms underlying liver–brain relationships in alcohol use disorder, and more particularly of the inflammatory response at the tissue, cerebral and hepatic levels. The objective of this translational study was to investigate, both in alcohol use disorder patients and in a validated animal model of alcohol use disorder, the links between peripheral inflammation, liver damage and brain alterations. To do this, we conducted an in vivo neuroimaging examination and biological measures to evaluate brain volumes, liver fibrosis and peripheral cytokines in alcohol use disorder patients. In selectively bred Sardinian alcohol-preferring rats, we carried out ex vivo neuroimaging examination and immunohistochemistry to evaluate brain and liver inflammatory responses after chronic (50 consecutive weeks) alcohol drinking. In recently abstinent and non-cirrhotic alcohol use disorder patients, the score of liver fibrosis positively correlated with subcortical regions volumes (especially in right and left putamen) and level of circulating proinflammatory cytokines. In Sardinian alcohol-preferring rats, we found macrostructural brain damage and microstructural white matter abnormalities similar to those found in alcohol use disorder patients. In addition, in agreement with the results of peripheral inflammation observed in the patients, we revealed, in Sardinian alcohol-preferring rats, inflammatory responses in the brain and liver were caused by chronic alcohol consumption. Since the liver is the main source of cytokines in the human body, these results suggest a relationship between liver dysfunction and brain damage in alcohol use disorder patients, even in the absence of major liver disease. These findings encourage considering new therapeutic strategies aiming at treating peripheral organs to limit alcohol-related brain damage.
Longitudinal Assessment of Coronavirus Disease 2019 Vaccine Acceptance and Uptake Among Frontline Medical Workers in Los Angeles, California
Authors: Halbrook Megan , Gadoth Adva , Martin-Blais Rachel , Gray Ashley N , Kashani Saman , Kazan Clayton , Kane Brian , Tobin Nicole H , Ferbas Kathie G , Aldrovandi Grace M , Rimoin Anne W 
Published: July 2021

Abstract

Background
Sentiments of vaccine hesitancy and distrust in public health institutions have complicated the government-led coronavirus disease 2019 (COVID-19) vaccine control strategy in the United States. As the first to receive the vaccine, COVID-19 vaccine attitudes among frontline workers are consequential for COVID-19 control and public opinion of the vaccine.

Methods
In this study, we used a repeated cross-sectional survey administered at 3 time points between 24 September 2020 and 6 February 2021 to a cohort of employees of the University of California, Los Angeles Health and the Los Angeles County Fire Department. The primary outcome of interest was COVID-19 vaccination intent and vaccine uptake.

Results
Confidence in COVID-19 vaccines and vaccine uptake rose significantly over time. At survey 1, confidence in vaccine protection was 46.4% among healthcare workers (HCWs) and 34.6% among first responders (FRs); by survey 3, this had risen to 90.0% and 75.7%, respectively. At survey 1, about one-third of participants intended to receive a vaccine as soon as possible. By survey 3, 96.0% of HCWs and 87.5% of FRs had received a COVID-19 vaccine.

Conclusions
Attitudes toward vaccine uptake increased over the study period, likely a result of increased public confidence in COVID-19 vaccines, targeted communications, a COVID-19 winter surge in Los Angeles County, and ease of access from employer-sponsored vaccine distribution.
The Effects of Co-Viewers on the Viewing Experience
Authors: Tal-Or Nurit 
Published: July 2021

Abstract
Although media consumption often occurs with others, relatively few studies have documented the effect of co-viewing on the viewing experience. Moreover, theories of media effects generally focus on the individual and do not pay attention to group processes. Thus, previous co-viewing research has used various theories related to different aspects specific to each study, making it difficult to comprehend the connections between the studies. The aim of this paper is to propose a comprehensive model of the effects of co-viewing on the experience of watching a narrative text. Based on existing psychological theories that are applied to co-viewing contexts, the model includes the various processes underlying the effects of co-viewing, along with suggested moderators of these processes. While there is empirical evidence supporting some of the effects the model suggests, others have not yet been investigated. Thus, the model presents new directions for future research.