bluuebunny/crossref_metadata_2025_split huggingface dataset:
Milk production performance of Ankole crossbreds and Holstein Friesian cattle in different production environments of Rwanda
Authors: Manzi Maximillian , Ntawubizi Martin , Hirwa Claire d’andre , Strandberg Erling 
Published: October 2022

Abstract The aim of the study was to assess the productive performance of dairy cattle in three different agro-ecological zones of Rwanda: Congo-Nile/Western (WAZ), Central plateau/Central (CAZ), and Eastern plateau/East Agro-ecological Zones (EAZ). A single-visit multi-subject survey was conducted to obtain information on the dairy cattle performance from 51 farms. The breed groups were classified as Ankole x Holstein Friesian (AF), other Ankole crossbreds (AX), and pure Holstein Friesian (F). The F had higher (p < 0.001) milk yield than AF in all zones except EAZ and AF had higher (p < 0.0001) milk yield than AX in all zones. Across all zones, F produced 9 L more than AX and 6 L more than AF per day. Cows from EAZ had the highest average milk yield; however, it was not significantly different from CAZ. The difference that was observed between AF in EAZ and AF in the other two zones indicates that agro-ecological zones should not only be the target in livestock development activities rather additional factors such as feed availability at farm level, social economic, and market infrastructure should be considered in Rwanda.
Photo-Fenton oxidation of cylindrospermopsin at neutral pH with LEDs
Authors: Ortiz David , Munoz Macarena , Garcia Jorge , Cirés Samuel , de Pedro Zahara M. , Quesada Antonio , Casas Jose A. 
Published: October 2022

AbstractCylindrospermopsin (CYN) is a potent cyanobacterial toxin found in freshwaters worldwide. In this work, the feasibility of the photo-Fenton process under neutral pH using light emitting diodes as irradiation source for the removal of this hazardous cyanotoxin from freshwater was investigated. The impact of the kind of iron chelating agent (ethylenediamine-N, N′-disuccinic acid vs. ethylenedinitrilotetraacetic acid) as well as the effect of the main operating conditions viz. H2O2 dose, Fe(III) load, initial CYN concentration, and Fe(III):EDDS molar ratio on the performance of the process was systematically evaluated. EDDS was selected as the most appropriate iron chelating agent considering the kinetics of the process and the environmental impact (Vibrio fischeri and Artemia salina). Under optimized conditions ([H2O2] = 30 mg L−1; [Fe(III)] = 5 mg L−1; Fe(III):ligand = 1:0.5 (molar ratio)), complete removal of CYN was achieved in 15-min reaction time. Furthermore, the catalytic system showed to be effective in real water matrices (river and reservoir waters) spiked with CYN. Although the presence of inorganic ions (mainly HCO3−/CO32−) and dissolved organic carbon decreased the oxidation rate of CYN due to scavenging reactions and iron coordination, respectively, complete elimination of the cyanotoxin was achieved in all cases. The fate of EDDS along the process was also evaluated to demonstrate that the catalytic system investigated, apart from its effectiveness, warrants the complete absence of residues after reaction. Therefore, the proposed system constitutes a promising method for cyanotoxin treatment either as a drinking water treatment step in conventional plants or as a potential remediation strategy in the natural environment.
From the water sources of the Tibetan Plateau to the ocean: State of nutrients in the Changjiang linked to land use changes and climate variability
Authors: Zhang Jing , Zhang Guosen , Du Yanan , Zhang Anyu , Chang Yan , Zhou Yingchun , Zhu Zhuoyi , Wu Ying , Zhang Zaifeng , Liu Sumei 
Published: October 2022

AbstractAnthropogenic activity is an important driver of changes in the chemistry of nutrients (N, P, and Si) over watersheds at the sub-continental scale (e.g., 106 km2) and can markedly modify their seaward fluxes to the global ocean. In the present study, we reviewed the current status of nutrient chemistry in Changjiang (Yangtze River) based on data collected through 11 expeditions along a river course spanning 4,500 km and 15–20 major tributaries during 1997–2016 as well as monthly monitoring at the river mouth since 1980. The data were analyzed together with published results in the literature to synthesize the recent developments and current state of nutrients in the Changjiang. Previously published results from the Qinghai-Tibetan Plateau head waters were included to realize the systematics of nutrients for the whole drainage basin. Here, we showed that tributaries of the upper reaches of watersheds collectively determine the regime with high concentration and skewed species ratio of nutrients in the Changjiang mainstream, producing profound effects over a water course of 2,000–2,500 km further downstream and until the river mouth. Moreover, using data across the Three Gorges Reservoir (TGR) during 2003–2016, we evaluated the trapping and/or amplifying effects of the Three Gorges Dam (TGD) on nutrient chemistry. Tide-influenced river delta contributed an additional 20% dissolved inorganic phosphorus and 5–10% dissolved inorganic nitrogen and dissolved silicates to the seaward flux, dramatically affecting the stoichiometry of nutrients at the river mouth. Next, based on compiled data on supply and export, legacy nutrients were evaluated. Both nitrogen and phosphorus are in the accumulation phase over the watersheds, and the legacy nutrient fluxes are much higher than the annual riverine seaward fluxes. Finally, we demonstrated that the seaward fluxes of anthropogenic nutrients from the Changjiang exceed those from other top 10 largest rivers on this planet, which can be attributed to land use changes in the China over the last three to four decades.
1H, 13C, 15N backbone resonance assignment of apo and ADP-ribose bound forms of the macro domain of Hepatitis E virus through solution NMR spectroscopy
Authors: Politi Maria D. , Gallo Angelo , Bouras Georgios , Birkou Maria , Canard Bruno , Coutard Bruno , Spyroulias Georgios A. 
Published: October 2022

AbstractThe genome of Hepatitis E virus (HEV) is 7.2 kilobases long and has three open reading frames. The largest one is ORF1, encoding a non-structural protein involved in the replication process, and whose processing is ill-defined. The ORF1 protein is a multi-modular protein which includes a macro domain (MD). MDs are evolutionarily conserved structures throughout all kingdoms of life. MDs participate in the recognition and removal of ADP-ribosylation, and specifically viral MDs have been identified as erasers of ADP-ribose moieties interpreting them as important players at escaping the early stages of host-immune response. A detailed structural analysis of theapoand bound to ADP-ribose state of the native HEV MD would provide the structural information to understand how HEV MD is implicated in virus-host interplay and how it interacts with its intracellular partner during viral replication. In the present study we present the high yield expression of the native macro domain of HEV and its analysis by solution NMR spectroscopy. The HEV MD is folded in solution and we present a nearly complete backbone and sidechains assignment forapoand bound states. In addition, a secondary structure prediction by TALOS + analysis was performed. The results indicated that HEV MD has aα/β/αtopology very similar to that of most viral macro domains.
Academic and Social Behaviour Profile of the Primary School Students who Possess and Play Video Games
Authors: Vázquez-Cano E. , Ramírez-Hurtado J. M. , Díez-Arcón P. , Pascual-Moscoso C. 
Published: October 2022

AbstractThe aim of this research was to analyze the typologies of primary education students with regard to possession and use of video games, and the possible psycho-emotional and educational implications. To identify the different typologies, a latent class model using Latent Gold v4.5 software was applied in order to model relations between the variables observed, assuming that the structure of underlying relations was explained by a latent categorical variable (not observed). The results revealed two clearly differentiated clusters: one formed of boys who get better marks in Mathematics, usually play video games with gaming consoles for the TV screen, usually play video games online with friends, play video games for more than two hours at weekends, feel very happy when playing video games, and whose first choice of free-time activity is to play video games; the other consisted of girls who get better marks in Spanish Language and Literature, usually play video games on a tablet, usually with a family member, play video games for more than two hours at weekends, feel very happy playing video games, though to a slightly lesser extent than boys, and whose first choice of free-time activity is not usually to play video games.
A novel message passing neural network based on neighborhood expansion
Authors: Xue Yanfeng , Jin Zhen , Apasiba Abeo Timothy 
Published: October 2022

AbstractMost message passing neural networks (MPNNs) are widely used for assortative network representation learning under the assumption of homophily between connected nodes. However, this fundamental assumption is inconsistent with the heterophily of disassortative networks (DNs) in many real-world applications. Therefore, we propose a novel MPNN called NEDA based on neighborhood expansion for disassortative network representation learning (DNRL). Specifically, our NEDA first performs neighborhood expansion to seek more informative nodes for aggregation and then performs data augmentation to speed up the optimization process of a set of parameter matrices at the maximum available training data with minimal computational cost. To evaluate the performance of NEDA comprehensively, we perform several experiments on benchmark disassortative network datasets with variable sizes, where the results demonstrate the effectiveness of our NEDA model. The code is publicly available at https://github.com/xueyanfeng/NEDA.
Detection of dangerous events on social media: a critical review
Authors: Jamil M. Luqman , Pais Sebastião , Cordeiro João 
Published: October 2022

AbstractThe usability of the events information on social media has been widely studied recently. Several surveys have reviewed the specific type of events on social media using various techniques. Most of the existing methods for event detection are segregated as they approach certain situations that limit the overall details of events happening consecutively on social media while ignoring the crucial relationship between the evolution of these events. Numerous events that materialize on the social media sphere every day before our eyes jeopardize people’s safety and are referred to by using a high-level concept of dangerous events. The front of dangerous events is broad, yet no known work exists that fully addresses and approaches this issue. This work introduces the term dangerous events and defines its scope in terms of practicality to establish the origins of the events caused by the previous events and their respective relationship. Furthermore, it divides dangerous events into sentiment, scenario, and action-based dangerous events grouped on their similarities. The existing research and methods related to event detection are surveyed, including some available events datasets and knowledge-base to address the problem. Finally, the survey is concluded with suggestions for future work and possible related challenges.
Can We Deliver Person-Centred Obesity Care Across the Globe?
Authors: Ells Louisa J. , Ashton Mark , Li Rui , Logue Jennifer , Griffiths Claire , Torbahn Gabriel , Marwood Jordan , Stubbs James , Clare Ken , Gately Paul J. , Campbell-Scherer Denise 
Published: October 2022

Abstract
Purpose of Review
This article discusses what person-centred care is; why it is critically important in providing effective care of a chronic, complex disease like obesity; and what can be learnt from international best practice to inform global implementation.

Recent Findings
There are four key principles to providing person-centred obesity care: providing care that is coordinated, personalised, enabling and delivered with dignity, compassion and respect. The Canadian 5AsT framework provides a co-developed person-centred obesity care approach that addresses complexity and is being tested internationally.

Summary
Embedding person-centred obesity care across the globe will require a complex system approach to provide a framework for healthcare system redesign, advances in people-driven discovery and advocacy for policy change. Additional training, tools and resources are required to support local implementation, delivery and evaluation. Delivering high-quality, effective person-centred care across the globe will be critical in addressing the current obesity epidemic.

Graphical Abstract
MOF/Polymer-Integrated Multi-Hotspot Mid-Infrared Nanoantennas for Sensitive Detection of CO2 Gas
Authors: Zhou Hong , Ren Zhihao , Xu Cheng , Xu Liangge , Lee Chengkuo 
Published: October 2022

AbstractMetal–organic frameworks (MOFs) have been extensively used for gas sorption, storage and separation owing to ultrahigh porosity, exceptional thermal stability, and wide structural diversity. However, when it comes to ultra-low concentration gas detection, technical bottlenecks of MOFs appear due to the poor adsorption capacity at ppm-/ppb-level concentration and the limited sensitivity for signal transduction. Here, we present hybrid MOF-polymer physi-chemisorption mechanisms integrated with infrared (IR) nanoantennas for highly selective and ultrasensitive CO2 detection. To improve the adsorption capacity for trace amounts of gas molecules, MOFs are decorated with amino groups to introduce the chemisorption while maintaining the structural integrity for physisorption. Additionally, leveraging all major optimization methods, a multi-hotspot strategy is proposed to improve the sensitivity of nanoantennas by enhancing the near field and engineering the radiative and absorptive loss. As a benefit, we demonstrate the competitive advantages of our strategy against the state-of-the-art miniaturized IR CO2 sensors, including low detection limit, high sensitivity (0.18%/ppm), excellent reversibility (variation within 2%), and high selectivity (against C2H5OH, CH3OH, N2). This work provides valuable insights into the integration of advanced porous materials and nanophotonic devices, which can be further adopted in ultra-low concentration gas monitoring in industry and environmental applications.
Intertemporal consumption and debt aversion: a replication and extension
Authors: Ahrens Steffen , Bosch-Rosa Ciril , Meissner Thomas 
Published: October 2022

AbstractWe replicate Meissner (Exp Econ 19:281–298, 2016), where debt aversion was reported for the first time in an intertemporal consumption and saving problem. While Meissner (2016) uses a German sample, our participants are US undergraduate students. All of the original study’s main findings replicate with similar effect sizes. Additionally, we extend the original analysis by introducing a new individual index of debt aversion, which we use to compare debt aversion across countries. Interestingly, we find no significant differences in debt aversion between the original German and the new US sample. We then test whether debt aversion correlates with individual characteristics such as gender, cognitive reflection ability, and risk aversion. Overall, this paper confirms the importance of debt aversion in intertemporal consumption and saving problems and validates the approach of Meissner (2016).
A deterministic algorithm for finding r-power divisors
Authors: Harvey David , Hittmeir Markus 
Published: October 2022

AbstractBuilding on work of Boneh, Durfee and Howgrave-Graham, we present a deterministic algorithm that provably finds all integers p such that $$p^r \mathrel {|}N$$

p
r

|
N

in time $$O(N^{1/4r+\epsilon })$$

O
(

N

1
/
4
r
+
ϵ

)

for any $$\epsilon > 0$$

ϵ
>
0

. For example, the algorithm can be used to test squarefreeness of N in time $$O(N^{1/8+\epsilon })$$

O
(

N

1
/
8
+
ϵ

)

; previously, the best rigorous bound for this problem was $$O(N^{1/6+\epsilon })$$

O
(

N

1
/
6
+
ϵ

)

, achieved via the Pollard–Strassen method.
The Public Health Response to COVID-19 in Vietnam: Decentralization and Human Rights
Authors: Doan Hai Thanh 
Published: October 2022

AbstractHuman rights constitute a universal concern in different countries’ responses to COVID-19. Vietnam is internationally praised for its success in containing the pandemic; nevertheless, human rights issues are a key area that needs to be assessed and improved. Little legal and ethical research is available on human rights in Vietnam, particularly in its response to COVID-19, however. In Vietnam, decentralization took place during the pandemic: higher authorities delegated power to lower ones to make and implement public health measures. Unfortunately, many measures made and implemented decentrally caused human rights concerns or breaches. This article aims to study what makes such measures cause human rights concerns or breaches. It argues that several social, legal, and political factors, including an inadequate understanding of human rights, the undefined breadth of discretion, and lack of supervision, are underlying factors for such problematic decentralized measures. Accordingly, this paper proposes two solutions (i) improving the supervision of the decentralization process, and (ii) improving the understanding of human rights. While Vietnam should learn from the international community to improve its measures, lessons and experience from Vietnam can also contribute to a richer dialogue and better protection of human rights globally.
Reproducibility in Human-Robot Interaction: Furthering the Science of HRI
Authors: Gunes Hatice , Broz Frank , Crawford Chris S. , der Pütten Astrid Rosenthal-von , Strait Megan , Riek Laurel 
Published: October 2022

Abstract
Purpose of Review
To discuss the current state of reproducibility of research in human-robot interaction (HRI), challenges specific to the field, and recommendations for how the community can support reproducibility.

Recent Findings
As in related fields such as artificial intelligence, robotics, and psychology, improving research reproducibility is key to the maturation of the body of scientific knowledge in the field of HRI. The ACM/IEEE International Conference on Human-Robot Interaction introduced a theme on Reproducibility of HRI to their technical program in 2020 to solicit papers presenting reproductions of prior research or artifacts supporting research reproducibility.

Summary
This review provides an introduction to the topic of research reproducibility for HRI and describes the state of the art in relation to the HRI 2020 Reproducibility theme. As a highly interdisciplinary field that involves work with technological artifacts, there are unique challenges to reproducibility in HRI. Biases in research evaluation and practice contribute to challenges in supporting reproducibility, and the training of researchers could be changed to encourage research reproduction. The authors propose a number of solutions for addressing these challenges that can serve as guidelines for the HRI community and related fields.
Sustainability Practices and Performance in European Small-and-Medium Enterprises: Insights from Multiple Case Studies
Authors: Moursellas Andreas , De Debashree , Wurzer Thomas , Skouloudis Antonios , Reiner Gerald , Chaudhuri Atanu , Manousidis Theodoros , Malesios Chrisovalantis , Evangelinos Konstantinos , Dey Prasanta Kumar 
Published: October 2022

Abstract
The advancement of sustainability trajectories is a critical challenge for most of small- and medium-sized enterprises (SMEs). SMEs require specific considerations with regard to business methodologies for achieving and enhancing sustainability, since their business case is far from similar to larger counterparts. As a consequence, tools for implementation of sustainability practices within SMEs need to recognize these differences as well and take into account the intrinsic characteristics and special needs of these enterprises accordingly. This paper reports findings from a multiple case study survey aiming to explore new directions for enhancing the sustainability levels demonstrated by European SMEs. Case studies were conducted in SMEs from four European countries (Denmark, Austria, Greece, and the UK) attempting to shed light on the implementation status of sustainability practices within their business core design and suggest ways of transferring such approaches to other SMEs. In this context, three key questions guided the study — What is the current status of sustainability practices by European SMEs?, what are the emerging issues, setbacks and opportunities towards sustainability practices in SMEs?, and what strategies, resources, and competences may facilitate effective sustainability embeddedness in SMEs? Face-to-face interviews were conducted with owners and managers of the selected SMEs to better understand their attitude and performance in terms of implementing sustainability practices. Findings allow highlighting key sustainability practices as well as drivers and barriers that stimulate or hamper respectively the sustainability practices implementation. While findings reveal a considerable variation in viewpoints among the interviewed SMEs, we identify a strong orientation and momentum towards sustainability endorsement. The paper concludes with implications for policy and management planning and an overarching aim to increase awareness and consideration of sustainability aspects in European SMEs.
Are microplastics the ‘technofossils’ of the Anthropocene?
Authors: Chen Hongyu , Zou Xinqing , Ding Yongcheng , Wang Ying , Fu Guanghe , Yuan Feng 
Published: October 2022

AbstractMicroplastics are ubiquitous in the environment, eventually becoming part of the geological record as ‘technofossils’. However, research on the chronological characteristics of microplastics remains limited. This study reviewed dating methods, microplastic abundance, and microplastic polymer type in sedimentary cores globally. Furthermore, the ‘evolution’ of plastic types was compiled in sequence, and a microplastic chronological sequence in the sedimentary record was established. This microplastics chronological sequence was applied to 39 published cores with microplastic polymer analysis. The sediment age ranges determined by microplastic type were found to correspond to the published ages, indicating that microplastics could be useful for dating sedimentary cores on a centennial scale. Furthermore, good preservation and limited mobility of microplastics in burial records make microplastic dating an effective supplementary dating method for determining ages of Anthropocene sediments.
Praying Instead of Protesting? The Belarusian Churches and Political Protest After the 2020 Presidential Election
Authors: Elsner Regina 
Published: October 2022

AbstractBelarus is one of the least religious societies of the former Soviet Union. Nevertheless, two Christian denominations – the Belarusian Orthodox Church and the Roman Catholic Church – do have a specific impact on social discourse, be it through facilitating the discourse on conservative moral values or linking their political and societal strategies to their Russian or Polish mother churches. However, neither of the churches has actively participated in civil protests criticizing the political regime. The protests before and after the Belarusian presidential election in August 2020 affected the churches and seriously challenged their self-perception. This article shows how the churches turned out to be heterogeneous structures with different levels of theological awareness in political crisis, civil self-consciousness, and the ability to mobilize. These findings and the fact that religion became a visible element of the 2020 protests significantly questions the concept of the church as a homogeneous and state loyal institution. Combining both empirical and theological approaches makes it possible to reassess the role of religion in post-Soviet social and political processes.