bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-resolution Projection Dataset of Agroclimatic Indicators over Central Asia
Authors: Qiu Yuan , Feng Jinming , Yan Zhongwei , Wang Jun 
Published: May 2022

AbstractTo understand the potential impacts of projected climate change on the vulnerable agriculture in Central Asia (CA), six agroclimatic indicators are calculated based on the 9-km-resolution dynamical downscaled results of three different global climate models from Phase 5 of the Coupled Model Intercomparison Project (CMIP5), and their changes in the near-term future (2031–50) are assessed relative to the reference period (1986–2005). The quantile mapping (QM) method is applied to correct the model data before calculating the indicators. Results show the QM method largely reduces the biases in all the indicators. Growing season length (GSL, day), summer days (SU, day), warm spell duration index (WSDI, day), and tropical nights (TR, day) are projected to significantly increase over CA, and frost days (FD, day) are projected to decrease. However, changes in biologically effective degree days (BEDD, °C) are spatially heterogeneous. The high-resolution projection dataset of agroclimatic indicators over CA can serve as a scientific basis for assessing the future risks to local agriculture from climate change and will be beneficial in planning adaption and mitigation actions for food security in this region.
Early root migration after a mandibular third molar coronectomy
Authors: Simons Rashida N. , Tuk Jacco G. , Ho Jean-Pierre T. F. , Su Naichuan , Lindeboom Jerome A. 
Published: May 2022

Abstract
Purpose
This prospective cohort study aimed to assess early root migration after a coronectomy of the mandibular third molar at 2 and 6 months after surgery.

Methods
We included all patients treated with a coronectomy of an impacted mandibular third molar. The primary outcome measure was the extent of postoperative root migration after 2 and 6 months. Migration was measured as the distance between the root complex and a fixed point on the inferior alveolar canal. The secondary aim was to identify factors (age, impaction pattern, and patient sex) that affected the extent of root migration.

Results
One hundred and sixty-five coronectomies were performed in 141 patients (96 females and 45 males; mean age 33.1 years, SD 16.0). The 2-month checkup was completed by 121 patients that received 141 coronectomies. The 6-month check-up was completed by 73 patients that received 80 coronectomies. The mean root migrations were 3.30 mm (SD 2.53 mm) at 2 months and 5.27 mm (SD 3.14 mm) at 6 months. In the 2–6-month interval, the mean root migration was 2.58 mm (SD 2.07 mm). The extents of migration were similar during the 0–2-month interval and the 2–6-month interval (p = 0.529). Younger age was associated with greater root migration, and females experienced significantly greater migrations than males (p = 0.002).

Conclusion
Roots migrated more rapidly in the first two postoperative months, compared to the 2–6-month interval. Age was negatively correlated with the extent of root migration, and females showed significantly greater migrations than males.
Rumor detection on social media using hierarchically aggregated feature via graph neural networks
Authors: Xu Shouzhi , Liu Xiaodi , Ma Kai , Dong Fangmin , Riskhan Basheer , Xiang Shunzhi , Bing Changsong 
Published: May 2022

AbstractIn the era of the Internet and big data, online social media platforms have been developing rapidly, which accelerate rumors circulation. Rumor detection on social media is a worldwide challenging task due to rumor’s feature of high speed, fragmental information and extensive range. Most existing approaches identify rumors based on single-layered hybrid features like word features, sentiment features and user characteristics, or multimodal features like the combination of text features and image features. Some researchers adopted the hierarchical structure, but they neither used rumor propagation nor made full use of its retweet posts. In this paper, we propose a novel model for rumor detection based on Graph Neural Networks (GNN), named Hierarchically Aggregated Graph Neural Networks (HAGNN). This task focuses on capturing different granularities of high-level representations of text content and fusing the rumor propagation structure. It applies a Graph Convolutional Network (GCN) with a graph of rumor propagation to learn the text-granularity representations with the spreading of events. A GNN model with a document graph is employed to update aggregated features of both word and text granularity, it helps to form final representations of events to detect rumors. Experiments on two real-world datasets demonstrate the superiority of the proposed method over the baseline methods. Our model achieves the accuracy of 95.7% and 88.2% on the Weibo dataset Ma et al. 2017 and the CED dataset Song et al. IEEE Trans Knowl Data Eng 33(8):3035–3047, 2019respectively.
Tau Aggregation Inhibiting Peptides as Potential Therapeutics for Alzheimer Disease
Authors: Aillaud Isabelle , Funke Susanne Aileen 
Published: May 2022

AbstractAlzheimer disease (AD) is the most common progressive neurodegenerative disorder. AD causes enormous personal and economic burden to society as currently only limited palliative therapeutic options are available. The pathological hallmarks of the disease are extracellular plaques, composed of fibrillar amyloid-β (Aβ), and neurofibrillary tangles inside neurons, composed of Tau protein. Until recently, the search for AD therapeutics was focussed more on the Aβ peptide and its pathology, but the results were unsatisfying. As an alternative, Tau might be a promising therapeutic target as its pathology is closely correlated to clinical symptoms. In addition, pathological Tau aggregation occurs in a large group of diseases, called Tauopathies, and in most of them Aβ aggregation does not play a role in disease pathogenesis. The formation of Tau aggregates is triggered by two hexapeptide motifs within Tau; PHF6* and PHF6. Both fragments are interesting targets for the development of Tau aggregation inhibitors (TAI). Peptides represent a unique class of pharmaceutical compounds and are reasonable alternatives to chemical substances or antibodies. They are attributed with high biological activity, valuable specificity and low toxicity, and often are developed as drug candidates to interrupt protein–protein interactions. The preparation of peptides is simple, controllable and the peptides can be easily modified. However, their application may also have disadvantages. Currently, a few peptide compounds acting as TAI are described in the literature, most of them developed by structure-based design or phage display. Here, we review the current state of research in this promising field of AD therapy development.
Graphical Abstract
Internet use and academic performance: An interval approach
Authors: Ladrón de Guevara Rodríguez María , Lopez-Agudo Luis Alejandro , Prieto-Latorre Claudia , Marcenaro-Gutierrez Oscar David 
Published: May 2022

AbstractAs children spend more and more time on electronic devices and social networks, there is a growing concern about the influence that these activities may have on their development and social well-being. In this context, the present research is aimed at analysing the influence that Internet use may have on 6th grade primary school students’ academic performance in Spain. In order to do so, we have employed a methodological approach that combines econometric and interval multiobjective programming techniques, which has let us identify the traits and Internet use patterns that allow students to maximise their academic performance in terms of scores in four competences. Our results show that, while daily use of the Internet to listen to music or search for information about other topics of interest can favor the maximization of educational outcomes, the use of social networks should be limited as much as possible to avoid hindering the educational process.
Warm and cold temperatures limit the maximum body length of teleost fishes across a latitudinal gradient in Norwegian waters
Authors: Lavin Charles P. , Gordó-Vilaseca Cesc , Costello Mark John , Shi Zhiyuan , Stephenson Fabrice , Grüss Arnaud 
Published: May 2022

AbstractAs the majority of marine organisms are water-breathing ectotherms, temperature and dissolved oxygen are key environmental variables that influence their fitness and geographic distribution. In line with the temperature-size rule (TSR), marine ectotherms in warmer temperatures will grow to a smaller maximum body size, yet the extent to which different species experience this temperature-size response varies. Here, we analysed the maximum body length of ten teleost fish species in line with temperature, dissolved oxygen concentration and geographic location (that encompasses multiple latent variables), across a broad (26°) latitudinal gradient throughout Norwegian waters. Our results showed that the two largest study species, spotted wolffish (Anarhichas minor) and cusk (Brosme brosme), display the strongest negative temperature-size response. We also observed smaller maximum body lengths for multiple species within the coldest extent of their temperature range, as well as parabolic relationships between maximum length and temperature for Atlantic wolffish (Anarhichas lupus) and beaked redfish (Sebastes mentella). The smaller maximum body lengths for high latitude species at both warm and cold temperature extremes of species’ thermal ranges corroborate the temperature-size mechanisms of the gill-oxygen limitation theory (GOLT), whereby spontaneous protein denaturation limits growth at both warm and cold temperatures.
Bone response in vivo of Ti-45Zr alloy as dental implant material
Authors: Ou Pinghua , Zhang Taomei , Wang Jianying , Li Cui , Shao Chunsheng , Ruan Jianming 
Published: May 2022

AbstractTi-Zr alloys have gained increasing attention as a new metallic biomaterial, being used as implants for both orthopedics and dentistry. More recently, our group found promising results for the Ti-45Zr alloy, which presented a low elastic modulus, a pronounced and excellent mechanic character, and excellent cell compatibility in vitro. However, its biocompatibility and potential to promote osteogenesis in vivo remained unclear. In the present study, the biocompatibility, osteointegration ability, and immune response effects of the Ti-45Zr alloy were evaluated in animal experiments. The results showed that the alloy had good blood compatibility and no body side effects. After implantation in vivo, the inflammation turned out well and was beneficial to the polarization of macrophages. Additionally, the Ti-45Zr alloy presented a good osteointegration ability. Overall, these results confirmed that the Ti-45Zr alloy can be used as a dental implant material.
Improving bactericidal performance of implant composite coatings by synergism between Melittin and tetracycline
Authors: Zarghami Vahid , Ghorbani Mohammad , Bagheri Kamran Pooshang , Shokrgozar Mohammad Ali 
Published: May 2022

AbstractMethicillin resistance Staphylococcus aureus bacteria (MRSA) are serious hazards of bone implants. The present study was aimed to use the potential synergistic effects of Melittin and tetracycline to prevent MRSA associated bone implant infection. Chitosan/bioactive glass nanoparticles/tetracycline composite coatings were deposited on hydrothermally etched titanium substrate. Melittin was then coated on composite coatings by drop casting method. The surfaces were analyzed by FTIR, XRD, and SEM instruments. Tetracycline in coatings revealed multifunctional behaviors include bone regeneration and antibacterial activity. Releasing ALP enzyme from MC3T3 cells increased by tetracycline, so it is suitable candidate as osteoinductive and antibacterial agent in orthopedic implants coatings. Melittin increased the proliferation of MC3T3 cells. Composite coatings with combination of tetracycline and Melittin eradicate all MRSA bacteria, while coatings with one of them could no t eradicate all of the bacteria. In conclusion, chitosan/bioactive glass/tetracycline/Melittin coating can be suggested as a multifunctional bone implant coating because of its osteogenic and promising antibacterial activity.
Contextual Factors Affecting the Use and Acquisition of Affirmative Operators: A Methodological-Didactic Tool Based on Spanish
Authors: Laurencio Tacoronte Ariel 
Published: May 2022

AbstractThe use of discourse markers, like that of any other linguistic element, is dependent on contextual factors that interact at the specific moment of an enunciation. The utterers, with the need to adjust their language product to their communicative intentions, perform an analysis of the contextual, material, and relational factors involved, resulting in the choice of the linguistic operators to be used in that particular utterance situation. A first goal of this paper is then to identify those contextual aspects encompassed in such selection, likely indeed to generate problems in the acquisition of affirmative operators by Spanish as Foreign Language learners, and to identify what types of unwanted implicatures can be caused by a lack of adjustment to the context. Subsequently, we introduce a methodological-didactic tool, based on a previously established theoretical framework which comprises these various contextual variables at its own formal level, directed at promoting the processes of acquisition of these markers.
Guidelines for evaluating wearables’ quality of experience in a mulsemedia context
Authors: Hussain Nadia , Ghinea Gheorghita 
Published: May 2022

AbstractQuality of Experience (QoE) is inextricably linked to the user experience of multimedia computing and, although QoE has been explored in relation to other types of multimedia devices, thus far its applicability to wearables has remained largely ignored. Given the proliferation of wearable devices and their growing use to augment and complement the multimedia user experience, the need for a set of QoE guidelines becomes imperative. This study meets that need and puts forward a set of guidelines tailored exclusively towards wearables’ QoE. Accordingly, an extensive experimental investigation has been undertaken to see how wearables impact users’ QoE in multiple sensorial media (mulsemedia) context. Based on the exploratory study, the findings have shown that the haptic vest (KOR-FX) enhanced user QoE to a certain extent. In terms of adoption, participants reported they would generally incorporate the heart rate (HR) monitor wristband (Mio Go) into their daily lives as opposed to the haptic vest. Other findings revealed that human factors play a part in user’s attitudes towards wearables and predominantly age was the major influencing factor. Moreover, the participants’ HR varied throughout the experiments, suggesting an enhanced level of engagement whilst viewing the multimedia video clips. Furthermore, the results suggest that there is a potential future for wearables, if the QoE is a positive one and if the design of such devices are appealing as well as unobtrusive.
Evaluation use and learning in public policy
Authors: Bundi Pirmin , Trein Philipp 
Published: May 2022

AbstractScientific evidence has become increasingly important for the decision-making processes in contemporary democracies. On the one hand, research dealing with the utilization of scientific knowledge in the political process has pointed out that decision-makers learn from evidence to improve policies to solve problems. On the other, scholars have underlined that actors learn from evidence to support their political interests regardless of how it affects the policy problem. One conventional insight from the policy learning literature is that higher salience of a policy issue makes it much less likely that decision-makers use evidence in an “unpolitical” way. Nevertheless, only few studies have investigated systematically how differences regarding issue salience between policy fields impact on how decision-makers learn from evaluations at the individual level. Using multilevel regression models on data from a legislative survey in Switzerland, this paper shows that salience and technical complexity of policy issues do not automatically lead to less policy learning and to more political learning from policy evaluations. Nevertheless, this article’s empirical analysis also points out that issue salience increases policy learning from evaluations if the policy issue is technically complex. Our findings contribute to research on policy learning and evidence-based policy making by linking the literature on policy evaluation and learning, which helps analyzing the micro-foundations of learning in public policy and administration.
Climate change and non-migration — exploring the role of place relations in rural and coastal Bangladesh
Authors: Rabbani M. M. Golam , Cotton Matthew , Friend Richard 
Published: May 2022

Abstract
Of growing research and policy interest are the experiences of people living under conditions of climate change–induced environmental stress, which either are unable to migrate (sometimes described as a ‘trapped population’) or are seemingly unwilling to do so (sometimes described as the ‘voluntarily immobile’). This paper problematises and expands upon these binary categories: examining the complex dimensionality of non-migration as a form of place relations, explored through qualitative study of rural and coastal Bangladeshi communities. Through 60 semi-structured interviews of individuals from four communities in the Kalapara region, the analysis proffers four qualitatively derived and inter-related dimensions of voluntary and involuntary non-migration framed as a form of place relations. These four dimensions concern the following: (1) livelihood opportunities, (2) place obduracy, (3) risk perceptions, and (4) social-structural constraints, with the interplay between these elements explaining diverse non-migratory experiences. In our analysis, ‘place obduracy’ is introduced as a concept to describe the differential speed of environmental change and socio-cultural adaptation responses to explain non-migratory experiences. Our discussion provides insight into how to best support non-migrant people’s adaptive capacity in the face of growing climate emergency.
Assessing chemotherapy-induced peripheral neuropathy with patient reported outcome measures: a systematic review of measurement properties and considerations for future use
Authors: Li Tiffany , Park Susanna B. , Battaglini Eva , King Madeleine T. , Kiernan Matthew C. , Goldstein David , Rutherford Claudia 
Published: May 2022

Abstract
Purpose
Chemotherapy-induced peripheral neuropathy (CIPN) is a common toxicity of cancer treatment, with potential to significantly impact cancer survivors’ long-term quality of life. Patient reported outcome measures (PROMs) are increasingly utilised to evaluate CIPN. However, guidance remains lacking on how to identify fit for purpose PROMs with considerations necessarily differing when used in various research and in-clinic contexts. This study aimed to evaluate evidence about CIPN PROMs measurement properties and propose considerations to optimize CIPN PROM selection for each purpose.

Methods
A systematic review was conducted to identify literature assessing measurement properties of CIPN PROMs. These were evaluated against Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) criteria and International Society for Quality of Life minimum standards. Risk of Bias (RoB) was assessed using the COSMIN RoB checklist.

Results
Thirty-nine papers evaluating measurement properties of 13 PROMs were included. The European Organization for Research and Treatment of Cancer Quality of Life Chemotherapy-Induced Peripheral Neuropathy Questionnaire (QLQ-CIPN20) and Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity (FACT/GOG-Ntx) were the most commonly investigated PROMs and had the most measurement properties meeting established criteria.

Conclusion
The use of the QLQ-CIPN20 and FACT/GOG-Ntx to assess CIPN in research settings has the most supporting evidence. However other considerations including study aims, endpoints and target population also factor into PROM selection and need to be considered more often when determining the most suitable outcome measure. Evidence of CIPN PROMs use in clinical practice is limited and their adoption to individual-patient level management requires more evaluation.
Measuring publication diversity among the most productive scholars: how research trajectories differ in communication, psychology, and political science
Authors: Goyanes Manuel , Demeter Márton , Cheng Zicheng , de Zúñiga Homero Gil 
Published: May 2022

AbstractExamining research patterns across scientific fields constitutes a growing research enterprise to understand how global knowledge production unfolds. However, scattered empirical evidence has casted light on how the publication diversity of the most productive scholars differ across disciplines, considering their gender and geographical representation. This study focuses on the most prolific scholars across three fields (Communication, Political Science, and Psychology), and examine all journals where they have published. Results revealed the most common journals in which prolific scholars have appeared and showed that Communication scholars are more prone to publish in Political Science and Psychology journals than vice-versa, while psychologists’ largely neglect them both. Our findings also demonstrate that males and US scholars are over-represented across fields, and that neither the field, gender, geographic location, or the interaction between gender and geographic location has a significant influence over publication diversity. The study suggests that prolific scholars are not only productive, but also highly diverse in the selection of the journals they publish, which directly speaks to both the heterogeneity of their research contributions and target readers.
Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API
Authors: Seppänen Janne-Tuomas , Värri Hanna , Ylönen Irene 
Published: May 2022

AbstractJudging value of scholarly outputs quantitatively remains a difficult but unavoidable challenge. Most of the proposed solutions suffer from three fundamental shortcomings: they involve (i) the concept of journal, in one way or another, (ii) calculating arithmetic averages from extremely skewed distributions, and (iii) binning data by calendar year. Here, we introduce a new metric Co-citation Percentile Rank (CPR), that relates the current citation rate of the target output taken at resolution of days since first citable, to the distribution of current citation rates of outputs in its co-citation set, as its percentile rank in that set. We explore some of its properties with an example dataset of all scholarly outputs from University of Jyväskylä spanning multiple years and disciplines. We also demonstrate how CPR can be efficiently implemented with Dimensions database API, and provide a publicly available web resource JYUcite, allowing anyone to retrieve CPR value for any output that has a DOI and is indexed in the Dimensions database. Finally, we discuss how CPR remedies failures of the Relative Citation Ratio (RCR), and remaining issues in situations where CPR too could potentially lead to biased judgement of value.