bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potential Identification of Community-Based Tourism Product Development in Santong Tourism Village, North Lombok Regency, Indonesia
Authors: Harja Oktomi , Santi Ruwaida Fajria , Batubara Rizda Endean Ngoluanta , Jumraidin Jumraidin , Yakin Ainul , Nugraha Putu Ari , Firman koma febdilan  , H Muh Ilham , Pidada Ida Ayu Yadnya Sari Dewi Utami , Lathifah Siti 
Published: December 2022

Purpose: This community service activity is carried out with the main objective of identifying the potential for developing tourism products in Santong Tourism Village which originates from the economic, social and cultural potential of the community in the context of developing quality and competitive tourism products in Santong Tourism Village.
Method: The community service employs (1) field survey to identify current conditions and the need for intervention in the development of tourist village with data collection techniques ranging from direct observation, in-depth interview, to documentation, and (2) workshop which includes short lectures, guided group discussions, demonstrations, and simulations. The data obtained are all primary data obtained directly from Pokdarwis, other tourism actors, as well as Santong’s local community.
Result: The 2 (two) main outputs of this community service activity are (1) tour package and culinary product prototypes that integrate various natural potentials and local community wisdom, as well as (2) needs identification for homestay development in Santong Tourism Village.
Contribution: Providing new insights and skills to the local community in developing integrated and quality tourism products that can provide broader economic impact the people of Santong Tourism Village.
An Investigation of Secondary School Students’ Biodiversity Literacy Level
Authors: Aslan Efe Hülya , Efe Rıfat 
Published: December 2022

The quality of life sustained by human beings is largely possible thanks to the opportunities offered by the biodiversity resources in nature. It is widely accepted that the continuation of this lifestyle largely depends on the sustainable use of consumed and destroyed natural resources. Therefore, teaching biodiversity becomes an important element of science teaching. In this context, it is important to reveal the biodiversity literacy levels of the new generation. This study aims to investigate secondary school students’ biodiversity literacy levels. The descriptive survey method, one of the quantitative research methods, was used in the research. A total of 787 secondary school students studying at state schools during 2021-2022 academic year participated in the research. “Biodiversity Literacy Assessment Instrument” was used as a data collection tool in the study. Independent t-test was used to compare gender scores while one-way ANOVA was used to compare student scores based on their grades, students’ feelings about studying biodiversity, and understanding problems related to biodiversity. Tukey HSD test was used to determine the direction of significance in multiple comparisons. The findings revealed that while secondary school students’ scores for attitudes toward biodiversity were high, their biodiversity knowledge levels were low. Also, female students gained higher scores for “the conservation and importance of biodiversity”, “ethics and biodiversity” and “sustainability and biodiversity” sub-dimensions of biodiversity literacy scale in comparison to male students. Additionally, the study found that participant students’ biodiversity literacy scale scores differed based on students’ years of study. The study has implications for teaching biodiversity that include activities to help students take responsibility for the protection of biodiversity and the place of biodiversity in the national curriculum.
Cryptocurrencies and Long-Range Trends
Authors: Gogas Periklis , Alexiadou Monica , Sofianos Emmanouil , Papadimitriou Theophilos 
Published: December 2022

Abstract
In this study we investigate possible long-range trends in the cryptocurrency markets. Our sample includes 37 of the most important cryptocurrencies that reflect more than 80% of the relevant market. For the analysis in the empirical part, we employed the Hurst exponent, a statistical tool used to identify long range autocorrelations and memory in time series data. Our sample covers the period from January 1, 2016 to March 26, 2021. We use three non-overlapping windows for the estimation of the Hurst exponent. With these windows, we assess the dynamic evolution in the structure of the cryptocurrencies market and evaluate the move towards an efficient market. The innovation of this research is that we employ the Hurst exponent that is seldomly used in analyzing this market. Furthermore, the use of both the R/S and DFA analysis and the use of non-overlapping windows enhance our research’s novelty. Finally, we estimate the Hurst for a wide sample of cryptocurrencies that covers more than four fifths of the entire market for the last six years.
Mapping Tree Water Deficit with UAV Thermal Imaging and Meteorological Data
Authors: Krause Stuart , Sanders Tanja GM 
Published: December 2022

Abstract

The mapping of forest stands and individual trees affected by drought stress is an important step in targeted forest management with the aim of creating resilient and diverse forests. UAV-based thermal sensing is a promising method to acquire high-resolution thermal data, yet the performance of typical UAV-adapted low-cost sensors are somewhat limited in deriving accurate temperature measurements. Uncertainty is evident in the effects of internal sensor dynamics as well as environmental variables such as solar radiation intensities, relative humidity, object emissivity and wind to name a few. Furthermore, the accurate assessment of drought stress in trees is challenging to quantify, and typical research station methods can be laborious and cost-intensive and particularly challenging when carried out in the field. In this study, we explored the possibility to acquire reliable tree canopy temperature using the thermal band of theMicasense Altummultispectral sensor while examining the prospect of quantifying drought stress by implementing point dendrometers and UAV-derived tree canopy temperature to model Tree Water Deficit (TWD). In an indoor environment we showed that the usage of a limited number of pixels (< 3) can result in temperature errors of over 1°C whereas increasing the spot size can reduce the mean difference to 0.02°C when using leaf temperature sensors as validation. Interestingly, leaves which were subjected to drought treatment (unwatered) resulted in a higher root mean squared error ((RMSE) (RMSE = 0.66°C and 0.73°C) than watered leaves (RMSE = 0.55°C and 0.53°C) due to most probably a lower emissivity of the dryer leaves. In a comparison of field acquisition methods, measuring the tree crown temperature of a selected tree from various incidence angles derived from typical gridded flights resulted in a mean standard deviation (SD) of 0.25°C and a maximum SD of 0.59°C (n = 12), where as a close-range hovering method resulted in a mean SD of 0.09°C and a maximum SD of 0.1°C (n = 8). Modelling the TWD from meteorological and point dendrometer data from the 2021 growth season (n = 2928) resulted with a R2 = 0.667 using a Generalised Additive Model (GAM) with the Vapor Pressure Deficit (VPD), wind speed and solar radiation as input features and a point dendrometer lag of one hour. When predicting individual tree TWD with UAV-derived tree canopy temperature, relative humidity and air temperature as input features, a RMSE of 4.92 (µm) and R2of 0.87 was achieved with a GAM. The GAM with the Leaf-to-Air Pressure Deficit (LVPD) as an input feature resulted in a RMSE of 6.87 (µm) and a R2of 0.71. This study presents a promising method to acquire thermal data for the purpose of mapping TWD of beech on an individual tree basis. Further testing and development is an imperative and more drought period point dendrometer data as well as higher resolution meteorological data is required.
The Relationship Between the Preterm Infant Gut Microbiome and Later Childhood Behavior
Authors: Dutra Samia , McSkimming Daniel , Sarkar Anujit , Ji Ming , Shaffer Emily , Yoo Ji Youn , Gordon Jessica , Groer Maureen 
Published: December 2022

Abstract

Background and Objectives
Very Low Birth Weight (VLBW) infants, born weighing less than 1500 grams, are at risk for both gut dysbiosis and later neuropsychological developmental deficits. With gut dysbiosis there is a disequilibrium of the gut microbial community. The Gammaproteobacteriadominated gut dysbiosis in VLBW infants likely results from a combination of immaturity derived from interrupted intrauterine development and environmental exposures in the Neonatal Intensive Care Unit (NICU) after birth. The extent of later neurobehavioral consequences associated with such microbial dysbiosis have yet to be determined.
Methods
We explored associations between the infants’ gut microbiome richness, diversity, composition, and network and early childhood behavior at 2 and 4 years of age in 25 children who were previously preterm born and studied while hospitalized in the Neonatal Intensive Care Unit (NICU). Behavior was measured with the Child Behavior Checklist (CBCL) at home visits at 32.2+/-4.8 months, and again at 49 +-3.6 months. We also measured children’s microbiomes at 2 and 4 years of age.
Results
The diversity and richness of the gut microbiome in VLBW infants were associated with later parent-reported maladaptive behavioral and emotional symptoms, including symptoms associated with autism, anxiety, Attention-Deficit/Hyperactivity Disorder (ADD), attention problems, and aggressive behavior. Microbiome compositional signatures were also associated with later childhood behavior. Network analysis revealed that the microbiome networks differed in the children at 2 and 4 years of age and different amplicon sequence variants (ASVs) were associated with behavior at these timepoints.
Conclusions
These data provide preliminary support for relationships between both the VLBW and later child gut microbiome dysbiosis and childhood behavior.
Prediction of Number of Covid-19 Affected Persons by Using Gompertz Curves
Authors: Pal Manoranjan , ADHIKARY ABHIGAYAN 
Published: December 2022

Abstract
The aim of this paper is to analyze the First and the Second Covid Waves experienced by India using the modified versions of Gompertz Curve (MGC) and to estimate the maximum number of affected individuals for each wave with the best possible accuracy. The time period of collected data is from 30th January 2020 to 11th July 2021. The entire dataset is segregated into two parts, i.e., for the First and the Second Waves and then modelled individually by the MGC. The robustness of the fits is checked, and then residuals are further modelled successively to improve the accuracy of the estimates. A key highlight of this paper is that our model can be implemented taking a smaller dataset with reasonable accuracy. Finally, a comparative analysis of the results has been performed with the Logistic Model and the ARIMA Models.
Hexyltrimethylammonium bromide solutions at 278.15: A dielectric investigation on micelle relaxation and hydration
Authors: Rohman Nashiour 
Published: December 2022

Abstract
A low temperature, 278.1 K studies on the dynamics of micelles and its hydrophilic and hydrophobic hydration of n-hexyltrimethylammonium bromide solutions is studied by dielectric measurements. The covered frequency range was ∼ 0.2 to 89 / GHz and concentration was varied from 0.0982 to 0.8534 mol.dm-3. A sum of four Debye processes fits all the spectra. Micelle relaxation processes are observed below the critical micelle concentration indicating premicellar aggregation. The relaxation processes were analyzed with theory proposed by Grosse. Accordingly the two low frequencies are assigned to radial and tangential diffusion of free and bound counter ions around the charged micelles. It is revealed that the hydrophilic hydration where the water molecules are completely immobilized is independent of temperature. On the other hand, the hydrophobic hydration increases at lower temperature.
Medical Errors: The need for institutional change to ensure patients’ safety
Authors: Rasool Naima , Mustafa Mohammad Nabeel 
Published: December 2022

Abstract
Background/Aims
Medical Errors are the preventable adverse effects of medical care, resulting in numerous deaths annually worldwide.
In Pakistan situation is more complex, due to overly populated hospitals, fewer underpaid overworked doctors and paramedics, no policy to deal with the subject, and seldom any checks and balances. This study is an effort to sensitize and equip our surgical trainees and paramedical staff to recognize and deal with medical errors which along with the help of institutional management, will bring a positive change in the clinical setting to decrease the incidence of errors while ensuring patients’ safety.
Methodology
A structured Pre-workshop questionnaire was given to the participants to fill out, it was followed by a PowerPoint presentation along with a discussion. A 12 mins long teaching video from the Center of Bioethics and Culture (CBEC) archive was shown, which was followed by an interactive discussion. Participants were asked to evaluate the Workshop on a structured Performa. A Post-workshop survey was done after 04 weeks to assess the impact of the activity in the clinical settings of the participants. Data were analyzed by qualitative and quantitative methods. For the quantitative part, emerging themes were analyzed using NVivo software.
Results
There were 21 participants from the National Institute of Child Health, Karachi (13 paramedics / 08 doctors) while 16 were from Fazaya Ruth Pfau Medical College, Karachi (02 paramedics, 14 doctors). The preliminary coding after the clustering of verbatims was developed. A total of 03 main themes emerged, based on participants’ knowledge, causes / contributing factors, and ethical implications of medical errors.
1- In the theme of knowledge, the sub-themes that emerged were, “wrong medication and wrong diagnosis”.
2- In the theme of causes and contributing factors, participants used the verbatims of “commonest error is senior doctors’ behavior and responsibility, lack of knowledge and shortage of staff”.
3- In ethical implication, “burnout due to stress” was the commonest sub-theme.
After 04 weeks, participants were asked about steps taken to reduce the error events. The responses were grouped under the “need for administration’s cooperation, SOPs following, and documentation” codes.
Recommendations
o Training, sensitization, and realization of the problems related to medical error are the need of the hour.
o The change at the institutional level is the key to curbing the problem.
Prediction of genetic values according to the dimensionality reduction of SNP's markers in complex models
Authors: Siqueira Michele Jorge Silva , Barbosa Ivan de Paiva , Chagas Francyse Edite de Oliveira , Júnior Antônio Carlos da Silva , Cruz Cosme Damião , Nascimento Moysés 
Published: December 2022

Abstract
The presence of non-informative markers in Genome Wide Selection (GWS) needs to be evaluated so that the genomic prediction is more efficient in a breeding program. This study proposes to evaluate the efficiency of RR-BLUP after reducing the dimensionality of SNP's markers in the presence of different levels of dominance, heritability, and epistatic interactions in order to demonstrate that the results obtained with reduced information improve prediction and preserve the same biological conclusions when using a larger data set. 10 F2 populations of a diploid species (2n = 2x = 20) with an effective size of 1000 individuals were simulated, involved the random combination of 2000 gametes generated from contrasting homozygous parents. 10 linkage groups (LG) with a size of 100 cM each and comprised 2010 bi-allelic SNP´s distributed equally and equidistant form. Nine traits were simulated, formed by different degrees of dominance, heritability, and epistatic interactions. The dimensionality reduction was performed randomly in the simulated population and then the efficiency of RR-BLUP was tested in two different studies. The parameters square of correlation (r2), root mean squares error (RMSE), and the Akaike Information Criterion (AIC) was used to evaluate the efficiency of the model used in the RR-BLUP. The results obtained from the reduced information predicted by the RR-BLUP were able to improve the prediction and preserve the same biological conclusions when using a larger data set. Non-informational or small effect markers can be removed from the original data set. The inclusion of dominance effects was an efficient strategy to improve predictive capacity.
Self-Constructed Interface of Co2P/Co3Fe7 Nanoparticles Encapsulated in N-Doped Carbon Nanotubes as Superior Bifunctional Oxygen Electrocatalysts for Rechargeable Zn-Air Batteries
Authors: Feng Ailing , Liu Liang , Liu Peitao , Zu Yanqing , Han Fengbo , Li Xiaodong , Ding Shijiu , Chen Yanan 
Published: December 2022

Abstract
Designing interfacial structure is an essential but challenging approach to regulating electronic structures to develop favorable bifunctional oxygen electrocatalysts in Zn-air batteries (ZABs). We utilize a facile one-step sintering strategy for preparing Co2P/Co3Fe7 interfacial nanoparticles encapsulated in N-doped carbon nanotubes (Co2P/Co3Fe7@N-C). The obtained Co2P/Co3Fe7@N-C electrocatalyst exhibits significant bifunctional oxygen evolution/reduction reaction (OER/ORR) activity (ΔE = 0.61 V), better than that of Pt/C + Ir/C (ΔE = 0.69 V) and compete with other previously report electrocatalysts. The density functional theory results reveal that the synergistic coupling effect and interfacial electronic interaction between Co2P and Co3Fe7 play a key role in boosting bifunctional ORR/OER efficiency. Remarkably, Co2P/Co3Fe7@N-C-based liquid ZABs exhibit excellent performance with higher power density (152.3 mW cm− 2) and longer cycle stability (1596 cycles) than the Pt/C + Ir/C-based ZABs (105 mW cm− 2; 882 cycles). Interestingly, the connected in series of Co2P/Co3Fe7@N-C-based liquid ZABs can be powered emitting diodes (LEDs) and blue LEDs display panel, indicating the possibility of practical application. It can be predicted that our present work opens a new pathway for rationally designing superior bifunctional oxygen electrocatalysts for rechargeable metal-air batteries through interfacial engineering.
Plastid marker-based phylogeny reveals insights into relationships among Papilionoideae species
Authors: Silva Flávia Gomes , Filho Rômulo Maciel Moraes , Martins Luiza Suely Semen , Ramos Robson da Silva , Silva Gheysa Coelho 
Published: December 2022

Abstract

The Papilionoideae subfamily comprises more than 14,000 species, 501 genera and 32 tribes, representing two-thirds of all genera and species in the Fabaceae family. Papillonoids are recognized for their food and forage importance, wide distribution in different biomes and variation in floral architecture as well as plastome structure. Due to the high-level conservation of chloroplast genomes, when compared to nuclear and mitochondrial genomes, phylogenetic analysis based on chloroplast DNA (cpDNA) have been elucidating the relationships among the main Papilionoideae's taxon. However, the phylogeny of some clades of the subfamily remains unresolved. Aiming at the phylogenetic reconstruction of the deep branching species of Papilionoideae, concatenated sequences of six loci (matK, psaA, psbA, psbD, rbcL and rpoC2) of cpDNA from 117 species of Papilionoideae were analyzed using the maximum likelihood methodology. The plastomes of Papilionoideae showed low conservation and similarity. Phylogenetic analysis resulted in a monophyletic tree, confirming the division of the subfamily into four main clades (NPAAA, ADA, Genistoids and Dalbergioids). The sibling group relationship of the ADA clade with the Genistoids clade was demonstrated, with high support. The paraphyly of the Phaseoleae and Millettiae tribes was evidenced within the NPAAA clade with unresolved phylogeny of the Genistoids clade. As well, was observed that only species of the ADA clade have no rhizobium nodules, which may be a possible synapomorphy to support the relationships of this group. The analysis also suggest that the main Papilionoideae clades diverged from the Paleocene onwards.
Causal effects of gut microbiota on scoliosis: A Mendelian randomization study
Authors: Lai Bowen , Zhou Xuhui 
Published: December 2022

Abstract
Background
Recent studies have shown altered gut microbiome composition in patients with scoliosis. However, the causal effect of gut microbiota on scoliosis remains unknown.
Methods
A Mendelian randomization (MR) study was conducted to quantify the impact of 191 gut microbiome taxa's instrumental variables from the MibioGen Genome-wide association study (GWAS) on scoliosis risk using data from the FinnGen GWAS (1,168 cases and 16,4682 controls). Inverse variance weighted (IVW) was the main method, and MR results were verified by sensitive analysis.
Results
Bilophila, Eubacterium (eligens group), Prevotella9, and Ruminococcus2 were discovered to have a protective effect on the risk of scoliosis. Ruminococcaceae UCG009, Catenibacterium, Coprococcus2, Eubacterium (ventriosum group), Lachnospiraceae (FCS020 group), Ruminiclostridium6, and Mollicutes RF9 may increase the occurrence of scoliosis. Heterogeneity (P > 0.05) and pleiotropy (P > 0.05) analysis confirmed the robustness of the MR results.
Conclusion
Our study identified four protective bacteria taxa on scoliosis and seven microbiota that may increase scoliosis occurrence. Further MR analysis is required to corroborate our findings, using a more sophisticated technique to obtain estimates with less bias and greater precision or GWAS summary data with more gut microbiome and scoliosis patients.