bluuebunny/crossref_metadata_2025_split huggingface dataset:
Short-term effects of organic amendments on soil fertility and root growth of rubber trees on Hainan Island, China
Authors: Huang Yanyan , Jing Yudan , Bei Meirong , Yang Hongzhu , Cha Zhengzao , Lin Qinghuo , Luo Wei 
Published: September 2019

AbstractRubber [Hevea brasiliensis(Willd. ex A.Juss.) Müll.Arg.] plantations are the largest cultivated forest type in tropical China. Returning organic materials to the soil will help to maintain the quality and growth of rubber trees. Although many studies have demonstrated that organic waste materials can be used to improve soil fertility and structure to promote root growth, few studies have studied the effects of organic amendments on soil fertility and root growth in rubber tree plantations. Here, bagasse, coconut husk or biochar were applied with a chemical fertilizer to test their effects on soil properties after 6 months and compared with the effects of only the chemical fertilizer. Results showed that the soil organic matter content, total nitrogen, available phosphorus and available potassium after the chemical fertilizer (F) treatment were all significantly lower than after the chemical fertilizer + bagasse (Fba), chemical fertilizer + coconut husk (Fco) or chemical fertilizer + biochar (Fbi) (p < 0.05). Soil pH in all organic amendments was higher than in the F treatment, but was only significantly higher in the Fbi treatment. In contrast, soil bulk density in the F treatment was significantly higher than in treatments with the organic amendments (p < 0.05). When compared with the F treatment, soil root dry mass increased significantly by 190%, 176% and 33% in Fba, Fco and Fbi treatments, respectively (p < 0.05). Similar results were found for root activity, number of root tips, root length, root surface area and root volume. Conclusively, the application of bagasse, coconut husk and biochar increased soil fertility and promoted root growth of rubber trees in the short term. However, bagasse and coconut husk were more effective than biochar in improving root growth of rubber trees.
Simple pictorial mathematics problems for children: locating sources of cognitive load and how to reduce it
Authors: van Lieshout Ernest C. D. M. , Xenidou-Dervou Iro 
Published: September 2019

Abstract
Pictorial representations are often used to help children understand the situation described in a given number-sentence scheme. These static pictorial problems essentially attempt to depict a dynamic situation (e.g., one bird flies away while there are three birds still sitting on the fence). Previous research suggested that such pictorial decrease problems impose higher cognitive load on children than the corresponding increase problems, even though both are solved with addition. However, the source of this cognitive load is unclear. It could be the direction of the depicted change or the position of the unknown (start vs. end set). To address this question and disentangle the sources of the load, we presented the problems in two different formats: (1) the conventional static one-picture problems and, (2) an adapted three-picture problem-format, which depicted the dynamic change in sequential steps. We also examined whether the three-picture problem-format makes the decrease problems easier. Seventy-nine first-graders participated in this study. Results showed that, overall, problems with the position of the unknown at the end were easier to solve than the ones in which the unknown was at the start. Furthermore, three-picture decrease problems with the unknown in the last position were easier than the one-picture decrease problems, and therefore appear to be a meaningful way to make such problems easier for children to understand.
Primary immunodeficiencies in Central and Eastern Europe—the power of networking Report on the activity of the Jeffrey Modell Foundation Centers Network in Central and Eastern Europe
Authors: Sediva A. , Bataneant M. , Belevtsev M. , Blaziene A. , Ciznar P. , Förster-Waldl E. , Kelecic J. , Marodi J. , Naumova E. , Nasrullayeva G. , Ress K. , Serban M. , Sitkaustiene B. , Toth B. , Modell V. , Modell F. , Tenembaum V. , Marković M. , Avcin T. 
Published: September 2019

AbstractJeffrey Modell Foundation centers’ network activities in Central and Eastern Europe (JMF CEE) have contributed to the development of care for patients with primary immunodeficiencies. On the data continuously collected from individual centers in participating countries since 2011, we demonstrate a steady improvement in a number of aspects concerning complex care for patients with primary immunodeficiencies. The presented data show an improvement of awareness about these rare diseases across the whole Central and Eastern European region, an increase in newly diagnosed patients as well as genetically confirmed cases, earlier establishment of diagnosis, and improved access to clinical treatment. We also present an active patient involvement that is reflected in the expansion of patient organization centers and their activities. The cooperation within the JMF CEE network has also contributed to greater international exposure of participating centers and further to the gradual development of research activities in the rapidly evolving field of primary immunodeficiencies. The improvement of all important aspects of the complex field of primary immunodeficiencies within the JMF CEE network documents the strength and advantages of the joint and coordinated networking.
Pathways into organized crime: comparing founders and joiners
Authors: Kemp Luke , Zolghadriha Sanaz , Gill Paul 
Published: September 2019

AbstractThis paper outlines research on the engagement processes and pathways into organised crime (OC). In recent years research on OC has increased, however there is still little understanding of how individuals become engaged in OC, and specifically whether differences exist in engagement patterns between certain groups of OC offenders. A content analysis was undertaken on the auto/biographies of one-hundred OC offenders to collect data on engagement processes. Quantitative analysis was used to identify significant differences in the engagement processes between OC offenders who join (‘joiners’) or form (‘founders’) an OC operation. The results revealed that measures pertaining to risk-factors, criminal trajectories, turning points, criminal motivations and social influences in engagement statistically differed between the groups. It was concluded that ‘founders’ were influenced by short-term criminal opportunities and economic considerations towards OC engagement, whilst ‘joiners’ were impacted more so by long-term social dynamics arising from ties and exposure to OC, such as one’s parents being engaged in OC. Both groups however, directly engaged through social dynamics. The current study provides preliminary findings which increase academic and practical understanding of the OC fraternity, but also the findings offer a basis on which to target legal interventions. Additionally, the new knowledge may be instrumental for building theories of OC engagement. Specifically, it is theorised that the circumstances in how ‘joiners’ become engaged in OC represents a ‘contagion process’.
General trust scale: Validation in cross-cultural settings
Authors: Jasielska Dorota , Rogoza Radosław , Zajenkowska Anna , Russa Mary Bower 
Published: September 2019

AbstractTrust plays a critical role in all aspects of social functioning. In attempting to better understand trust cross culturally, a valid tool is essential. We conducted two studies to investigate the cross-cultural validity and utility of the Generalized Trust Scale (Yamagishi and Yamagishi 1994). In Study 1, the structural and convergent validity of the GTS was examined in a large Polish sample (N = 727). Our findings provided important preliminary evidence for the validity of this scale in this sample. Subsequently, Study 2 compared responses to the GTS from two culturally different countries: Poland (N = 203) and the United States (N = 230). The structure of the GTS remained invariant across these two cultures, and the level of trust was comparable. As expected Americans showed higher levels of happiness than Poles, yet the relationship between trust and happiness was positive and similar in strength for both countries. Our data provide preliminary support for the use of the GTS in cross-cultural comparisons; however, consideration of data at the item level may also be relevant and cross culturally useful.
Developing fruit tree portfolios that link agriculture more effectively with nutrition and health: a new approach for providing year-round micronutrients to smallholder farmers
Authors: McMullin Stepha , Njogu Ken , Wekesa Brendah , Gachuiri Agnes , Ngethe Erick , Stadlmayr Barbara , Jamnadass Ramni , Kehlenbeck Katja 
Published: September 2019

Abstract
A sufficient intake of fruits can alleviate micronutrient deficiencies and reduces the risks of a number of associated diseases. In many parts of sub-Saharan Africa, however, the production and consumption of fruits are inadequate on average and in particular so in specific seasons. To better incorporate fruits into local food systems while addressing the challenge of seasonal availability, World Agroforestry (ICRAF) has developed a methodology based on “fruit tree portfolios” that selects socio-ecologically suitable and nutritionally important fruit tree species for farm production, to meet local consumption needs. We here present this approach and illustrate it with data from a case study involving Western and Eastern Kenya. The approach uses mixed methods to capture on-farm fruit tree diversity and seasonality at a household level (n = 600 in our case study), the months of household’s food security and insecurity (n = 600) and food consumption patterns at an individual level, to identify dietary gaps (n = 294 women and child pairs in our example). In our case study, 31 fruit tree species were reported on farms in our Western Kenya sample (9 of which were indigenous) and 51 (27 indigenous) in Eastern Kenya. In addition, the median number of food-insecure months per household was four (ranging from 0 to 9 months) in Eastern Kenya and three (0 to 12 months) in Western Kenya. Finally, using 24-h recalls the proportion of women that had consumed a fruit the day before the interview was around 55% in Western Kenya and 80% in Eastern Kenya, with consumption averaging 93 and 131 g, respectively. Using these parameters for each site and fruit tree phenology and food composition data sets, we derived context-specific recommendations that involve promoting 11 fruit tree species to address micronutrient gaps.
The influence of spray drying parameters and carrier material on the physico-chemical properties and quality of chokeberry juice powder
Authors: Bednarska Magdalena Agnieszka , Janiszewska-Turak Emilia 
Published: September 2019

Abstract
Chokeberry juice is used in the food industry because of its antioxidant activity as well as anti-diabetes, anti-mutagenic, bacteriostatic, anti-inflammatory and anti-virus properties. However in a liquid form its active ingredients can be unstable, so conversion into powder form is required. To improve the quality of the final product and extend information about the properties of chokeberry powder the aim of the study was to examine the relationship of inlet air temperature (160 °C, 200 °C) and carrier type maltodextrin (MD) 10DE and 15.6DE, arabic gum (AG) and their mixtures (AG:MD10 and AG:MD15—1:1, 1:3, 3:1) with the amounts of anthocyanins and polyphenols and selected physical properties of powders obtained after spray drying. Moreover stability of anthocyanin was tested after storage Obtained powders were characterized by low water activity (< 0.26), high dry matter content (97–99%) and good hygroscopic properties. Saccharification level of maltodextrin had no impact on the amount of bioactive components enclosed inside the capsules. Moreover, the mixtures of carriers, AG:MD appeared to have a large potential to ensure a high quality of chokeberry powder with high content of anthocyanin (1694–2028 mg/100 g) and polyphenols (about 3000 mg/100 g d.m.). Storage temperature mostly has no statistically significant influence on content of active ingredients, but an increase in colour coefficents was observed. The contents of anthocyanins and polyphenols were higher in powders stored at 4 °C than at 25 °C.
Projected declines in global DHA availability for human consumption as a result of global warming
Authors: Colombo Stefanie M. , Rodgers Timothy F. M. , Diamond Miriam L. , Bazinet Richard P. , Arts Michael T. 
Published: September 2019

Abstract
Docosahexaenoic acid (DHA) is an essential, omega-3, long-chain polyunsaturated fatty acid that is a key component of cell membranes and plays a vital role in vertebrate brain function. The capacity to synthesize DHA is limited in mammals, despite its critical role in neurological development and health. For humans, DHA is most commonly obtained by eating fish. Global warming is predicted to reduce the de novo synthesis of DHA by algae, at the base of aquatic food chains, and which is expected to reduce DHA transferred to fish. We estimated the global quantity of DHA (total and per capita) currently available from commercial (wild caught and aquaculture) and recreational fisheries. The potential decrease in the amount of DHA available from fish for human consumption was modeled using the predicted effect of established global warming scenarios on algal DHA production and ensuing transfer to fish. We conclude that an increase in water temperature could result, depending on the climate scenario and location, in a ~ 10 to 58% loss of globally available DHA by 2100, potentially limiting the availability of this critical nutrient to humans. Inland waters show the greatest potential for climate-warming-induced decreases in DHA available for human consumption. The projected decrease in DHA availability as a result of global warming would disproportionately affect vulnerable populations (e.g., fetuses, infants), especially in inland Africa (due to low reported per capita DHA availability). We estimated, in the worst-case scenario, that DHA availability could decline to levels where 96% of the global population may not have access to sufficient DHA.
Factors affecting the reproductive health of honey bee (Apis mellifera) drones—a review
Authors: Rangel Juliana , Fisher Adrian 
Published: September 2019

AbstractIn the honey bee,Apis mellifera, colonies are composed of one queen, thousands of female workers, and a few thousand seasonal males (drones) that are reared only during the reproductive season when colony resources are plentiful. Despite their transient presence in the hive, drones have the important function of mating with virgin queens, transferring their colony’s genes to their mates for the production of fertilized, worker-destined eggs. Therefore, factors affecting drone health and reproductive competency may directly affect queen fitness and longevity, having great implications at the colony level. Several environmental and in-hive conditions can affect the quality and viability of drones in general and their sperm in particular. Here we review the extant studies that describe how environmental factors including nutrition, temperature, season, and age may influence drone reproductive health. We also review studies that describe other factors, such as pesticide exposure during and after development, that may also influence drone reproductive quality. Given that sperm development in drones is completed during pupation prior to adult emergence, particular attention needs to be paid to these factors during drone development, not just during adulthood. The present review showcases a growing body of evidence indicating that drones are very sensitive to environmental fluctuations and that these factors cause drones to underperform, potentially compromising the reproductive health of their queen mates, as well as the overall fitness of their colony.
The efficiency of using CFRP as a strengthening technique for reinforced concrete beams subjected to blast loading
Authors: Jahami Ali , Temsah Yehya , Khatib Jamal 
Published: September 2019

Abstract
Some structures may be subjected to blast loading while in service. This may cause damage or failure to the structural elements. This paper examines the performance of reinforced concrete beams using carbon fiber reinforced polymer (CFRP) when subjected to blast loading. The experimental data including damage and deflection were collected from a previous investigation and numerical analysis was then performed using ABAQUS software. Furthermore, the single degree of freedom (SDOF) model was used to complement the findings from numerical analysis. Following the good correlation between the experimental and numerical data, further analysis was performed on reinforced concrete beams strengthened with carbon fiber-reinforced polymer (CFRP). Using CFRP was found to enhance the load capacity and energy absorption and to reduce the central deflection. In addition, Iso-Damage curves were produced for each beam, thus allowing the assessment of damage to be predicted.
Erratum to: Electromechanical properties of Ce-doped (Ba0.85Ca0.15)(Zr0.1Ti0.9)O3 lead-free piezoceramics
Authors: Hayati Raziye , Bahrevar Mohammad Ali , Ganjkhanlou Yadolah , Rojas Virginia , Koruza Jurij 
Published: September 2019

The affiliation of author “Raziye HAYATI” in the original version of this article was unfortunately wrongly written on page 186, instead of Semiconductor Division, Materials and Energy Research Center, Karaj 31787/316, Iran
It should read Department of Materials Engineering, Yasouj University, Yasouj, 75918-74934, Iran
Applications of single‐cell technology on bacterial analysis
Authors: Ma Zhixin , Chu Pan M. , Su Yingtong , Yu Yue , Wen Hui , Fu Xiongfei , Huang Shuqiang 
Published: September 2019

BackgroundTraditionally, scientists studied microbiology through the manner of batch cultures, to conclude the dynamics or outputs by averaging all individuals. However, as the researches go further, the heterogeneities among the individuals have been proven to be crucial for the population dynamics and fates.ResultsDue to the limit of technology, single‐cell analysis methods were not widely used to decipher the inherent connections between individual cells and populations. Since the early decades of this century, the rapid development of microfluidics, fluorescent labelling, next‐generation sequencing, and high‐resolution microscopy have speeded up the development of single‐cell technologies and further facilitated the applications of these technologies on bacterial analysis.ConclusionsIn this review, we summarized the recent processes of single‐cell technologies applied in bacterial analysis in terms of intracellular characteristics, cell physiology dynamics, and group behaviors, and discussed how single‐cell technologies could be more applicable for future bacterial researches.
AI-Assisted Decision-making in Healthcare
Authors: Lysaght Tamra , Lim Hannah Yeefen , Xafis Vicki , Ngiam Kee Yuan 
Published: September 2019

Abstract
Artificial intelligence (AI) is set to transform healthcare. Key ethical issues to emerge with this transformation encompass the accountability and transparency of the decisions made by AI-based systems, the potential for group harms arising from algorithmic bias and the professional roles and integrity of clinicians. These concerns must be balanced against the imperatives of generating public benefit with more efficient healthcare systems from the vastly higher and accurate computational power of AI. In weighing up these issues, this paper applies the deliberative balancing approach of the Ethics Framework for Big Data in Health and Research (Xafis et al. 2019). The analysis applies relevant values identified from the framework to demonstrate how decision-makers can draw on them to develop and implement AI-assisted support systems into healthcare and clinical practice ethically and responsibly. Please refer to Xafis et al. (2019) in this special issue of the Asian Bioethics Review for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end of this paper.
Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review
Authors: Balki Indranil , Amirabadi Afsaneh , Levman Jacob , Martel Anne L. , Emersic Ziga , Meden Blaz , Garcia-Pedrero Angel , Ramirez Saul C. , Kong Dehan , Moody Alan R. , Tyrrell Pascal N. 
Published: September 2019

Purpose The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies in ML applied to medical imaging and to propose recommendations for future work in the field. Methods We conducted a systematic literature search of articles using Medline and Embase with keywords including “machine learning,” “image,” and “sample size.” The search included articles published between 1946 and 2018. Data regarding the ML task, sample size, and train-test pipeline were collected. Results A total of 167 articles were identified, of which 22 were included for qualitative analysis. There were only 4 studies that discussed sample-size determination methodologies, and 18 that tested the effect of sample size on model performance as part of an exploratory analysis. The observed methods could be categorized as pre hoc model-based approaches, which relied on features of the algorithm, or post hoc curve-fitting approaches requiring empirical testing to model and extrapolate algorithm performance as a function of sample size. Between studies, we observed great variability in performance testing procedures used for curve-fitting, model assessment methods, and reporting of confidence in sample sizes. Conclusions Our study highlights the scarcity of research in training set size determination methodologies applied to ML in medical imaging, emphasizes the need to standardize current reporting practices, and guides future work in development and streamlining of pre hoc and post hoc sample size approaches.