bluuebunny/crossref_metadata_2025_split huggingface dataset:
Number of harvest years and selection for productivity, witches’ broom resistance, stability, and adaptability in cacao
Authors: Chaves Saulo Fabrício da Silva , Dias Luiz Antônio dos Santos , Alves Rodrigo Silva , Alves Rafael Moysés , José Andreza Rafaely Martins , Almeida Caio Márcio Vasconcellos Cordeiro de 
Published: June 2022

AbstractA suitable statistical model for the analysis of repeated measures is a prerequisite for an accurate genetic selection of cacao (Theobroma cacao L.) genotypes. Thus, the objectives of this study were to (a) evaluate homoscedastic and heteroscedastic repeatability models, (b) estimate the optimal number of harvest years for genetic selection, and (c) identify and select biparental crosses with high productivity, witches' broom (Moniliophthora perniciosa Stahel & Philips‐Mora) resistance, stability, and adaptability. Twenty biparental crosses were evaluated in a complete randomized blocks design, with seven replications and 12 trees per plot for 10 harvest years. Evaluated traits were number of healthy fruits (NHF), number of symptomatic fruits for witches' broom (NWBF), dry bean weight (DBW), and fruit index (FI). Variance components were estimated by restricted maximum likelihood, and genotypic values were predicted by best linear unbiased prediction. The best‐fitted repeatability model for each trait was indicated by Akaike's information criterion. The additive index was used for simultaneous selection for productivity, witches' broom resistance, stability, and adaptability. The heteroscedastic repeatability model showed the best fit for all traits. For HF, WBF, and FI, two and seven harvest years were sufficient for selection aiming at recombination and recommendation, respectively. For NWBF, evaluated only from the seventh year onwards, one harvest year was enough for recombination and three for recommendation. Five biparental crosses with high productivity, witches' broom resistance, stability, and adaptability were selected for recombination and/or for competition trials for recommendation. Such results can help define efficient strategies and optimize cacao breeding programs.
Fostering and sustaining transnational solidarities for transformative social change: Advancing community psychology research and action
Authors: Sonn Christopher C. , Fox Rachael , Keast Samuel , Rua Mohi 
Published: June 2022

AbstractAs we planned this special issue, the world was in the midst of a pandemic, one which brought into sharp focus many of the pre‐existing economic, social, and climate crises, as well as, trends of widening economic and social inequalities. The pandemic also brought to the forefront an epistemic crisis that continues to decentre certain knowledges while maintaining the hegemony of Eurocentric ways of knowing and being. Thus, we set out to explore the possibilities that come with widening our ecology of knowledge and approaches to inquiry, including the power of critical reflective praxis and consciousness, and the important practices of repowering marginalised and oppressed groups. In this paper, we highlight scholarship that reflects a breadth of theories, methods, and practices that forge alliances, in and outside the academy, in different solidarity relationships toward liberation and wellbeing. Our desire as co‐editors was not to endorse the plurality of solidarities expressed in the papers as an unyielding methodological or conceptual framework, but rather to hold them lightly within thematic spaces as invitations for readers to consider. Through editorial collaboration, we arrived at the following three thematic spaces: (1) ecologies of being and knowledge: Indigenous knowledge, networks, and plurilogues; (2) naming coloniality in context: Histories in the present and a wide lens; (3) relational knowledge practices: Creative joy of knowing beyond disciplines. From these thematic spaces we conclude that through repowering epistemic communities and narratives rooted in truth‐telling, a plurality of solidarities are fostered and sustained locally and transnationally. Underpinned by an ethic of care, solidarity relationships are simultaneously unsettling dominant forms of knowledge and embrace ways of knowing and being that advances dignity, community, and nonviolence.
Perceived safety in community and service settings among young adults experiencing homelessness: Differences by sexual and gender identity
Authors: DiGuiseppi Graham , Semborski Sara , Rhoades Harmony , Goldbach Jeremy , Henwood Benjamin F. 
Published: June 2022

AbstractHomelessness poses risks to the health and safety of young adults; particularly among sexual and gender minority (SGM) young adults. The current study sought to better understand service use and perceived safety in community and service settings among SGM and cisgender heterosexual (cis‐hetero) young adults experiencing homelessness. Data come from a mixed‐method, ecological momentary assessment study (n = 80; 43% sexual minority; 10% gender minority) in Los Angeles, California. Participants reported their current location (service vs. nonservice setting) and perceived safety. Multilevel modeling examined associations between identity, location, and perceived safety; qualitative interviews with 20 SGM participants added context to quantitative findings. Overall, service location was associated with greater perceived safety (β = .27,p < .001). Compared to cis‐hetero participants, cisgender sexual minorities (β = −.23,p = .03) and sexual and gender minorities (β = −.50,p = .002) reported lower perceived safety in service settings (vs. nonservice settings). Qualitative interviews revealed themes and subthemes detailing safe/unsafe spaces and interpersonal conflict in the community, and relationships with staff, peers, transphobia, and positive experiences in service settings.
Cascade Multicomponent Reaction Involving Unprecedented Gould Jacobs‐Heck/Suzuki Coupling‐Hydrolysis‐Decarboxylation Reactions in One Pot: Rapid Synthesis of Hybrid Heterocyclic Molecules
Authors: Thopate Yogesh , Singh Richa , Rastogi Sumit K. , Sinha Arun K. 
Published: June 2022

AbstractMulticomponent reaction (MCR) has been one of the strong pillars of green chemistry. In this respect we herein report a multicomponent 5 step reaction in one pot by combining two known name reactions viz. Gould‐Jacobs reaction and Heck reaction for the synthesis of stilbene/biaryl‐quinolone hybrid molecules from readily available 4‐iodoaniline, (diethyl‐2‐(ethoxymethylene)malonate) EMME and styrene/aryl boronic acid. The use of diphenyl ether as a reaction solvent effectively mediated not only the Gould‐Jacobs reaction but surprisingly also the Heck reaction for the first time. Further, diphenyl ether also allowed easy isolation of crude product due to polar nature of the product via precipitation. The developed protocol thus offered unprecedented synthesis of hybrid molecules by converging five steps (Gould‐Jacobs reaction, Heck or Suzuki cross coupling, hydrolysis and decarboxylation) into one pot with simultaneous generation of C−C and C−N bonds besides cleavage of C−O and C−C bonds.
Organometallic Synthesis of Magnetic Metal Nanoparticles
Authors: Estrader Marta , Soulantica Katerina , Chaudret Bruno 
Published: June 2022

AbstractMagnetic nanoparticles (NPs) are attractive both for their fundamental properties and for their potential in a variety of applications ranging from nanomedicine and biology to micro/nanoelectronics and catalysis. While these fields are dominated by the use of iron oxides, reduced metal NPs are of interest since they display high magnetization and adjustable anisotropy according to their size, shape and composition. The use of organometallic precursors makes it possible to adjust the size, shape (sphere, cube, rod, wire, urchin, …) and composition (alloys, core–shell, composition gradient, dumbbell, …) of the resulting NPs and hence their magnetic properties. We discuss here the synthesis of magnetic metal NPs from organometallic precursors carried out in Toulouse, as well as their associated properties and their potential in applications.
Probe Synthesis Reveals Eukaryotic Translation Elongation Factor 1 Alpha 1 as the Anti‐Pancreatic Cancer Target of BE‐43547A2
Authors: Liu Can , Wang Liang , Sun Yuanjun , Zhao Xiuhe , Chen Tianyang , Su Xiuwen , Guo Hui , Wang Qin , Xi Xiaonan , Ding Yahui , Chen Yue 
Published: June 2022

AbstractThe natural product, BE‐43547A2, decreases pancreatic cancer cell stemness. However, its anticancer molecular mechanisms have not been fully established. Based on structure–activity relationships of BE‐43547A2, we synthesized a probe and investigated its potential targets using an in situ click reaction. We found that BE‐43547A2 exerts its anticancer effects by covalently binding the cysteine234 (C234) residue of eukaryotic translation elongation factor 1 alpha 1 (eEF1A1). This binding mode was confirmed by a series of experiments including a xenograft mouse model. We also determined that eEF1A1 plays an important role in regulating pancreatic cancer cell stemness. Analyses of 99 clinical pancreatic cancer samples revealed that eEF1A1 expressions are closely correlated with clinicopathological grade and patient survival. In conclusion, eEF1A1 is involved in pancreatic cancer progression and is therefore, a promising novel covalent target for pancreatic cancer treatment.
Helping reviewers assess statistical analysis: A case study from analytic methods
Authors: Kenett Ron S. , Francq Bernard G. 
Published: June 2022

AbstractAnalytic methods development, like many other disciplines, relies on experimentation and data analysis. Determining the contribution of a paper or report on a study incorporating data analysis is typically left to the reviewer's experience and good sense, without reliance on structured guidelines. This is amplified by the growing role of machine learning driven analysis, where results are based on computer intensive algorithm applications. The evaluation of a predictive model where cross validation was used to fit its parameters adds challenges to the evaluation of regression models, where the estimates can be easily reproduced. This lack of structure to support reviews increases uncertainty and variability in reviews. In this paper, aspects of statistical assessment are considered. We provide checklists for reviewers of applied statistics work with a focus on analytic method development. The checklist covers six aspects relevant to a review of statistical analysis, namely: (1) study design, (2) algorithmic and inferential methods in frequentism analysis, (3) Bayesian methods in Bayesian analysis (if relevant), (4) selective inference aspects, (5) severe testing properties and (6) presentation of findings. We provide a brief overview of these elements providing references for a more elaborate treatment. The robustness analysis of an analytical method is used to illustrate how an improvement can be achieved in response to questions in the checklist. The paper is aimed at both engineers and seasoned researchers.
Evaluation of plant‐based oils for production of offset printing ink
Authors: Hayta Pelin , Oktav Mehmet , Ateş Duru Özlem 
Published: June 2022

AbstractThe oils and solvents are the main components of the printing ink, and the chemical composition of the ink could be harmful or toxic to human health and the environment. Therefore, there is an increasing demand to develop inks containing green, biobased, sustainable, and renewable raw materials instead of petrochemical substances. In this study, flaxseed oil (FO), pomegranate seed oil, plum kernel oil (PKO), and grape seed oil (GSO) were selected to produce offset printing inks. Pinus pinaster (P. pinaster) resin was also used in the formulation of inks to examine the effects of natural resin on ink together with vegetable oils. The phenolic content was analyzed for the resin and oils to figure out their potential antioxidant and bioactive characteristics. Optical and rheological tests were applied to evaluate the printability of the inks. L*a*b*, ΔE, density, and gloss tests were performed for optical evaluation. The viscosity, tack, and rub resistance tests were applied to perform rheological analysis. The biobased, environmental friendly, and self‐drying (cold set) offset printing inks were obtained using natural pine resin and three different plant‐based oils FO, PKO, and GSO. The printability analysis of the inks figured out the potential usage of plant‐based oils in the offset printing ink formulation.
A comparison of shear‐mixing and solvent‐induced on phase behavior, thermal and dielectric properties of PVDF‐HFP/MOF composites
Authors: Paramee Samanya , Guo Ruyan , Bhalla Amar S. , Manuspiya Hathaikarn 
Published: June 2022

AbstractThe effects of processing techniques significantly alter on the electroactive β‐phase, thermal, and dielectric behavior of polymer composites. The metal–organic framework filler (C3N2H5)(Mg(HCOO)3), HImMg is prepared and introduced into poly(vinylidenefluoride‐co‐hexafluoropropylene) (PVDF‐HFP) matrix using two distinguished methods: melt‐mixing and solution‐casting methods. The processing conditions are important in determining the dominant phase in PVDF‐HFP. As a result of solvent‐induced crystallization, the β‐phase content of solution‐cast composites containing 10% HImMg is 22% higher than that of melt‐mixed composites. In both methods, the nucleating effect of HImMg particles increases the overall crystallinity of the polymer matrix and enhances the dielectric constant in composite films by improving the interfacial and dipolar polarization. Furthermore, the melt‐mixed composites with 7 wt% HImMg demonstrate the highest dielectric constant of 17.8 at 1 kHz, showing an enhancement of 59% compared with that of pristine PVDF‐HFP. Meanwhile, the dielectric loss is suppressed at 0.083. These findings suggest the possibility of enhancing composites' electroactive phase and dielectric properties without mechanical stretching or a large electrical field.
Light‐induced hydrogels derived from poly(ethylene glycol) and acrylated methyl ricinoleate as biomaterials
Authors: Cakir Hatir Pinar 
Published: June 2022

AbstractHydrogels are hydrophilic crosslinked polymer networks that can absorb large amounts of water. They are used as biomaterials in numerous tissue engineering applications. Considering environmental awareness, the synthesis of biomaterials from renewable resources through green fabrication methods is essential. This study produces thermoresponsive hydrogels from a castor oil‐based monomer, acrylated methyl ricinoleate, and poly(ethylene glycol) via an environmentally friendly synthesis method. A photopolymerization technique is used with a very short reaction time. Characterization of the hydrogels is performed using thermogravimetric analysis, scanning electron microscopy, and Fourier‐transform infrared spectroscopy. Swelling and deswelling profiles are subsequently analyzed. A maximum equilibrium swelling degree of 271% is reached within 30 min. In vitro cytotoxicity assays of the hydrogels and the degradation products are performed to evaluate the biocompatibility. The hydrogels are biocompatible because the cell survival of all hydrogel samples and degradation products is greater than 100% and 85%, respectively. Consequently, the thermoresponsive hydrogels made from renewable raw materials in a green process offer interesting platforms for building biomaterials such as actuators for lab‐on‐a‐chip devices, microfluidics, drug delivery systems, preclinical drug screening models, and regenerative medicine.
Ancient DNA extraction methods for herbarium specimens: When is it worth the effort?
Authors: Marinček Pia , Wagner Natascha D. , Tomasello Salvatore 
Published: June 2022

AbstractPremiseHerbaria harbor a tremendous number of plant specimens that are rarely used for molecular systematic studies, largely due to the difficulty in extracting sufficient amounts of high‐quality DNA from the preserved plant material.MethodsWe compared the standard Qiagen DNeasy Plant Mini Kit and a specific protocol for extracting ancient DNA (aDNA) (the N‐phenacylthiazolium bromide and dithiothreitol [PTB–DTT] extraction method) from two different plant genera (Xanthium and Salix). The included herbarium materials covered about two centuries of plant collections. To analyze the success of DNA extraction using each method, a subset of samples was subjected to a standard library preparation as well as target‐enrichment approaches.ResultsThe PTB–DTT method produced a higher DNA yield of better quality than the Qiagen kit; however, extracts from the Qiagen kit over a certain DNA yield and quality threshold produced comparable sequencing results. The sequencing resulted in high proportions of endogenous reads. We were able to successfully sequence 200‐year‐old samples.DiscussionThis method comparison revealed that, for younger specimens, DNA extraction using a standard kit might be sufficient. For old and precious herbarium specimens, aDNA extraction methods are better suited to meet the requirements for next‐generation sequencing.
The financial maintenance of social science data archives: Four case studies of long‐term infrastructure work
Authors: Eschenfelder Kristin R. , Shankar Kalpana , Downey Greg 
Published: June 2022

AbstractContributing to the literature on knowledge infrastructure maintenance, this article describes a historical longitudinal analysis of revenue streams employed by four social science data organizations: the Roper Center for Public Opinion, the Inter‐university Consortium for Political and Social Research (ICPSR), the UK Data Archive (UKDA), and the LIS Cross‐National Data Center in Luxembourg (LIS). Drawing on archival documentation and interviews, we describe founders' assumptions about revenue, changes to revenue streams over the long term, practices for developing and maintaining revenue streams, the importance of financial support from host organizations, and how the context of each data organization shaped revenue possibilities. We extend conversations about knowledge infrastructure revenue streams by showing the types of change that have occurred over time and how it occurs. We provide examples of the types of flexibility needed for data organizations to remain sustainable over 40–60 years of revenue changes. We distinguish between Type A flexibilities, or development of new products and services, and Type B flexibilities, or continuous smaller adjustments to existing revenue streams. We argue that Type B flexibilities are as important as Type A, although they are easily overlooked. Our results are relevant to knowledge infrastructure managers and stakeholders facing similar revenue challenges.
Diagnosing autism in low‐income countries: Clinical record‐based analysis in Sri Lanka
Authors: Peiris Hashan , Wickramarachchi Darshana Chitraka , Samarasinghe Pradeepa , Vance Philip , Dahanayake Dulangi , Kulasekara Veerandi , Nadeeshani Madhuka 
Published: June 2022

AbstractUse of autism diagnosing standards in low‐income countries (LICs) are restricted due to the high price and unavailability of trained health professionals. Furthermore, these standards are heavily skewed towards developed countries and LICs are underrepresented. Due to such constraints, many LICs use their own ways of assessing autism. This is the first retrospective study to analyze such local practices in Sri Lanka. The study was conducted at Ward 19B of Lady Ridgeway Hospital (LRH) using the clinical forms filled for diagnosing ASD. In this study, 356 records were analyzed, from which 79.5% were boys and the median age was 33 months. For each child, the clinical form together with the Childhood Autism Rating Scale (CARS) value were recorded. In this study, a Clinically Derived Autism Score (CDAS) is obtained from the clinical forms. Scatter plot and Pearson product moment correlation coefficient were used to benchmark CDAS with CARS, and it was found CDAS to be positively and moderately correlated with CARS. In identifying the significant variables, a logistic regression model was built based on clinically observed data and it evidenced that “Eye Contact,” “Interaction with Others,” “Pointing,” “Flapping of Hands,” “Request for Needs,” “Rotate Wheels,” and “Line up Things” variables as the most significant variables in diagnosing autism. Based on these significant predictors, the classification tree was built. The pruned tree depicts a set of rules, which could be used in similar clinical environments to screen for autism.Lay SummaryScreening and diagnosing autism in low‐income countries such as Sri Lanka has always been a challenge due to limited resources and not being able to afford global standards. Due to these challenges, locally developed clinical forms have been used. This study is the first to analyze a clinical record set for autism in Sri Lanka to benchmark the local clinic form with a global standard. Furthermore, this study identifies the most significant diagnostic symptoms for children and based on these significant features, a simple set of IF–THEN rules are derived which could be used for screening autism in a similar clinical environment by health officials in the absence of consultants.
Highly Densified Fracture‐Free Silicon‐Based Electrode for High Energy Lithium‐Ion Batteries
Authors: Sung Jaekyung , Kim Namhyung , Kim Sang‐Pil , Lee Taeyong , Yoon Moonsu , Cho Jaephil 
Published: June 2022

AbstractThere has recently been an increasing volume of research in silicon‐based anodes for high energy density lithium‐ion batteries. Micron‐sized composites with high tap density and a number of pores accommodating the massive volume expansion of silicon (Si) exhibit considerable electrochemical performance with high volumetric energy density. However, huge pressure on the particle during the calendering process brings about mechanical failure which causes the formation of additional by‐products upon lithiation and electrical contact loss. Here, we discover specific particle size distribution based on the constructive simulation including calculation of the packing density depending on the different particle size distribution and stress evolution of each particle at high pressure. A silicon/graphite hybrid anode in which the silicon nanolayer (∼15 nm) is coated on the graphite is selected to validate the simulation. This anode sustains its morphological integrity and secures its void space without crack propagation of the silicon nanolayer in the densely packed electrode. As a result, it demonstrates high initial specific capacity (>500 mAh g−1), high initial Coulombic efficiency (95.2 %), low electrode swelling ratio (35 % at first cycle), and excellent capacity retention ratio (99.1 % during 50 cycles) for high energy density lithium‐ion batteries.