Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of the Calcium Carbonate Shell of Coccolithophores on Ingestion and Growth of a Dinoflagellate Predator

Coccolithophores are an important group of ∼200 marine phytoplankton species which cover themselves with a calcium carbonate shell called “coccosphere. ” Coccolithophores are ecologically and biogeochemically important but the reason why they calcify remains elusive. One key function may be that the coccosphere offers protection against microzooplankton predation, which is one of the main causes of phytoplankton death in the ocean. Here, we investigated the effect of the coccosphere on ingestion and growth of the heterotrophic dinoflagellate Oxyrrhis marina. Calcified and decalcified cells of the coccolithophore species Emiliania huxleyi, Pleurochrysis carterae, and Gephyrocapsa oceanica were offered separately to the predator as well as in an initial ∼1:1 mixture. The decrease of the prey concentrations and predator abundances were monitored over a period of 48–72 h. We found that O. marina did not actively select against calcified cells, but rather showed a size selective feeding behavior. Thus, the coccosphere does not provide a direct protection against grazing by O. marina. However, O. marina showed slower growth when calcified coccolithophores were fed. This could be due to reduced digestion rates of calcified cells and/or increased swimming efforts when ballasted with heavy calcium carbonate. Furthermore, we show that the coccosphere reduces the ingestion capacity simply by occupying much of the intracellular space of the predator. We speculate that the slower growth of the grazer when feeding on calcified cells is of limited benefit to the coccolithophore population because other co-occurring phytoplankton species within the community that do not invest energy in the formation of a calcite shell could also benefit from the reduced growth of the predators. Altogether, these new insights constitute a step forward in our understanding of the ecological relevance of calcification in coccolithophores.
Development and Validation of Prediction Equation of “Athens Authentic Marathon” Men’s Race Speed

Aim Despite the increasing popularity of outdoor endurance running races of different distances, little information exists about the role of training and physiological characteristics of recreational runners. The aim of the present study was (a) to examine the role of training and physiological characteristics on the performance of recreational marathon runners and (b) to develop a prediction equation of men’s race time in the “Athens Authentic Marathon. ” Methods Recreational male marathon runners (n = 130, age 44.1 ± 8.6 years)—who finished the “Athens Authentic Marathon” 2017—performed a series of anthropometry and physical fitness tests including body mass index (BMI), body fat percentage (BF), maximal oxygen uptake (VO2max), anaerobic power, squat, and countermovement jump. The variation of these characteristics was examined by quintiles (i.e., five groups consisting of 26 participants in each) of the race speed. An experimental group (EXP, n = 65) was used to develop a prediction equation of the race time, which was verified in a control group (CON, n = 65). Results In the overall sample, a one-way ANOVA showed a main effect of quintiles on race speed on weekly training days and distance, age, body weight, BMI, BF, and VO2max (p ≤ 0.003, η2 ≥ 0.121), where the faster groups outscored the slower groups. Running speed during the race correlated moderately with age (r = −0.36, p < 0.001) and largely with the number of weekly training days (r = 0.52, p < 0.001) and weekly running distance (r = 0.58, p < 0.001), but not with the number of previously finished marathons (r = 0.08, p = 0.369). With regard to physiological characteristics, running speed correlated largely with body mass (r = −0.52, p < 0.001), BMI (r = −0.60, p < 0.001), BF (r = −0.65, p < 0.001), VO2max (r = 0.67, p < 0.001), moderately with isometric muscle strength (r = 0.42, p < 0.001), and small with anaerobic muscle power (r = 0.20, p = 0.021). In EXP, race speed could be predicted (R2 = 0.61, standard error of the estimate = 1.19) using the formula “8.804 + 0.111 × VO2max + 0.029 × weekly training distance in km −0.218 × BMI. ” Applying this equation in CON, no bias was observed (difference between observed and predicted value 0.12 ± 1.09 km/h, 95% confidence intervals −0.15, 0.40, p = 0.122). Conclusion These findings highlighted the role of aerobic capacity, training, and body mass status for the performance of recreational male runners in a marathon race. The findings would be of great practical importance for coaches and trainers to predict the average marathon race time in a specific group of runners.
The Reservoir Age Effect Varies With the Mobilization of Pre-Aged Organic Carbon in a High-Altitude Central Asian Catchment

Lake sediments provide excellent archives to study past environmental and hydrological changes at high temporal resolution. However, their utility is often restricted by chronological uncertainties due to the “reservoir age effect” (RAE), a phenomenon that results in anomalously old radiocarbon ages of total organic carbon (TOC) samples that is mainly attributed to the contribution of pre-aged carbon from aquatic organisms. Although the RAE is a well-known problem especially in high altitude lakes, detailed studies analyzing the temporal variations in the contribution of terrestrial and aquatic organic carbon (OC) on the RAE are scarce. This is partially due to the complexity of isolating individual compounds for subsequent compound-specific radiocarbon analysis (CSRA). We developed a rapid method for isolating individual short-chain (C16 and C18) and long-chain (>C24) saturated fatty acid methyl esters (FAMEs) by using high-pressure liquid chromatography (HPLC). Our method introduces only minor contaminations (0.50 ± 0.22 µg dead carbon on average) and requires only few injections (≤10), therefore offering clear advantages over traditional preparative gas chromatography (prep-GC). Here we show that radiocarbon values (Δ14C) of long-chain FAs, which originate from terrestrial higher plant waxes, reflect carbon from a substantially pre-aged OC reservoir, whereas the Δ14C of short-chain FAs that originate from aquatic sources were generally less pre-aged. 14C ages obtained from the long-chain FAs are in closer agreement with 14C ages of the corresponding bulk TOC fraction, indicating a high control of pre-aged terrestrial OC input from the catchment on TOC-derived 14C ages. Variations in the age offset between terrestrial and aquatic biomarkers are related to changes in bulk sediment log(Ti/K) that reflect variations in detrital input from the catchment. Our results indicate that the chronological offset between terrestrial and aquatic OC in this high-altitude catchment is mainly driven by temporal variations in the mobilization of pre-aged OC from the catchment. In conclusion, to obtain accurate and process-specific lake sediment chronologies, attention must be given to the temporal dynamics of the RAE. Variations in the apparent ages of aquatic and terrestrial contributions to the sediment and their mass balance can substantially alter the reservoir age effect.
Study on Consumer Preference for Traceable Pork With Animal Welfare Attribute

We determined consumer preferences for traceable pork attributes in 328 consumers in Wuxi City, Jiangsu Province, China, based on a traceable pork attribute system composed of traceability, animal welfare, place of origin, and price attributes. Preference was studied using a Choice Experiment and Bayesian inference analysis. Results showed that the marginal utility of health welfare was lower than that of high-level traceability information and similar to that of place of origin but was higher than that of middle-level traceability information. A complementary relationship existed between dietary animal welfare and high-level traceability information and between health welfare and non-indigenous production. A substitution relationship existed between health welfare and indigenous production and between environmental animal welfare and non-indigenous production. The marginal utilities of health welfare and dietary welfare were higher than those of all price levels, and consumers accept a higher price as a result of increased production costs due to the inclusion of animal welfare information. Due to the harsh realities of COVID-19, China has recently approved the animal welfare attribute to be integrated into traceability market systems of new animal-derived food. The government should encourage manufacturers to produce diverse traceable animal-derived food not only to protect animal welfare and promote the construction of an ecological civilization, but also to develop new animal-derived food markets to satisfy different levels of consumer demand.
ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation

Anticancer peptides (ACPs) have provided a promising perspective for cancer treatment, and the prediction of ACPs is very important for the discovery of new cancer treatment drugs. It is time consuming and expensive to use experimental methods to identify ACPs, so computational methods for ACP identification are urgently needed. There have been many effective computational methods, especially machine learning-based methods, proposed for such predictions. Most of the current machine learning methods try to find suitable features or design effective feature learning techniques to accurately represent ACPs. However, the performance of these methods can be further improved for cases with insufficient numbers of samples. In this article, we propose an ACP prediction model called ACP-DA (Data Augmentation), which uses data augmentation for insufficient samples to improve the prediction performance. In our method, to better exploit the information of peptide sequences, peptide sequences are represented by integrating binary profile features and AAindex features, and then the samples in the training set are augmented in the feature space. After data augmentation, the samples are used to train the machine learning model, which is used to predict ACPs. The performance of ACP-DA exceeds that of existing methods, and ACP-DA achieves better performance in the prediction of ACPs compared with a method without data augmentation. The proposed method is available at http://github.com/chenxgscuec/ACPDA.
Purinergic Signaling in the Pathophysiology and Treatment of Huntington’s Disease

Huntington’s disease (HD) is a devastating, progressive, and fatal neurodegenerative disorder inherited in an autosomal dominant manner. This condition is characterized by motor dysfunction (chorea in the early stage, followed by bradykinesia, dystonia, and motor incoordination in the late stage), psychiatric disturbance, and cognitive decline. The neuropathological hallmark of HD is the pronounced neuronal loss in the striatum (caudate nucleus and putamen). The striatum is related to the movement control, flexibility, motivation, and learning and the purinergic signaling has an important role in the control of these events. Purinergic signaling involves the actions of purine nucleotides and nucleosides through the activation of P2 and P1 receptors, respectively. Extracellular nucleotide and nucleoside-metabolizing enzymes control the levels of these messengers, modulating the purinergic signaling. The striatum has a high expression of adenosine A2A receptors, which are involved in the neurodegeneration observed in HD. The P2X7 and P2Y2 receptors may also play a role in the pathophysiology of HD. Interestingly, nucleotide and nucleoside levels may be altered in HD animal models and humans with HD. This review presents several studies describing the relationship between purinergic signaling and HD, as well as the use of purinoceptors as pharmacological targets and biomarkers for this neurodegenerative disorder.
Distribution and Persistence of Diflubenzuron and Teflubenzuron in the Marine Environment Around Salmonid Aquaculture Facilities

To achieve a sustainable salmonid aquaculture industry, the environmental impacts of chemicals used to treat sea lice (Caligidae) infestations need to be considered. Our ability to assess the risks associated with these treatments in relation to human and wildlife health is limited by the lack of information on their concentrations in marine coastal environments. Diflubenzuron and teflubenzuron are chitin synthesis inhibiting insecticides frequently used to treat sea lice infestations on Norwegian salmon farms. In the present study, the distribution, persistence and bioaccumulation of both compounds were assessed in marine sediments and benthic macrofauna collected at four Norwegian aquacultures sites. Both compounds were detected in sediments sampled at 30–1400 m from the selected farms and 8–22 months after the last treatments took place. Diflubenzuron was detected above the limit of quantification (LOQ) in 76% of sediment samples and measured levels ranged between 2.4 and 257 μg/kg dry weight (dw). Teflubenzuron was detected above the LOQ in 92% of sediment samples, at concentrations ranging between 1.3 and 3474 μg/kg dw. In all samples where diflubenzuron and teflubenzuron were detected, the measured levels exceeded the Norwegian environmental quality standards (EQSsediment; 0.2 and 0.0004 μg/kg dw, respectively), indicating that these compounds may pose a risk to benthic marine species living near fish farms. Both compounds were detected in wild fauna collected near the selected aquaculture sites with measured residue levels in the low micro-gramme per kilogramme wet weight range. The residue levels detected in economically important species caught for human consumption, such as pink shrimp (Pandalus montagui) and Norway lobster (Nephrops norvegicus), were substantially lower than biota EQS’s and maximum residue limits (MRL) set by the EU for salmon tissue. Further studies are needed to fully understand the ecological impacts of these compounds in the marine environment, with the potential for lethal and sub-lethal effects to occur in non-target organisms following chronic exposures.
Evaluating Young People's Ability to Sustain an Evidence-Based Social Accountability Approach to Improve Adolescent Sexual and Reproductive Health in Ntcheu, Malawi

The Community Score Card© (CSC), a social accountability approach, brings together community members, service providers, and local government officials to identify issues, prioritize, and plan actions to improve local health services. In addition, young people in Ntcheu, Malawi have been using the CSC approach to mobilize their communities to bring change across varying issues of importance to them. An earlier cluster randomized trial in Ntcheu showed the CSC effectively increased reproductive health behaviors, improved satisfaction with services, and enhanced the coverage and quality of services. Building upon this evidence of effectiveness, this study aims to evaluate if and how young people were able to sustain implementation of the CSC, and the improvements it brings, approximately 2.5 years after the randomized trial ended. As part of a larger evaluation of CSC sustainability in Ntcheu, we conducted 8 focus groups across 5 health catchment areas with 109 members of mixed-gender youth groups (58 females and 51 males, ages 14–29 years) who continued to engage with the CSC. Audio recordings were transcribed, translated into English, and coded in Dedoose using an a priori codebook augmented with emergent codes and a constant comparative approach. Although the 8 youth groups were still actively using the CSC, they had made some adaptations. While the CSC in Ntcheu initially focused on maternal health, young people adopted the approach for broader sexual and reproductive topics important to them such as child marriages and girls' education. To enable sustainability, young people trained each other in the CSC process; they also requested more formal facilitation training. Young people from Ntcheu recommended nationwide scale-up of the CSC. Young people organically adopted the CSC, which enabled them to highlight issues within their communities that were a priority to them. This diffusion among young people enabled them to elevate their voice and facilitate a process where they hold local government officials, village leaders, and services providers accountable for actions and the quality of healthcare services. Young people organized and sustained the CSC as a social accountability approach to improve adolescent sexual and reproductive health in their communities more than 2.5 years after the initial effectiveness trial ended.
Proactive Personality and Employee Creativity: A Moderated Mediation Model of Multisource Information Exchange and LMX

Integrating the social perspective of creativity and the goal-regulatory process perspective of proactivity, this study investigates how proactive personality influences two forms of employee creativity-incremental creativity and radical creativity through multisource information exchange. Using a moderated mediation framework, this study suggests that leader-member exchange (LMX) moderates the positive association between proactive personality and those two forms of employee creativity. The results of this study, drawn from the sample of 500 employees and their immediate supervisors in a large state-owned company of China, support most of the hypotheses. Theoretical and practical implications of the findings, as well as the limitations of this study and the directions for future research, are discussed.
A novel scheme for mitigation of energy hole problem in wireless sensor network for military application

Wireless Sensor Networks (WSNs) have been widely considered as one of the most important technologies with unique characteristics designed for various applications. However, one of the major problems in WSNs is a limited lifetime. The creation of an energy hole near the sink has been a chief concern for researchers working to mitigate the lifetime problem. The data transmission in a multi‐hop network, as used for military purposes, follows a many‐to‐one pattern resulting in a heavier traffic load for nodes near to sink. Hence, these nodes deplete energy very soon resulting in a vacuum of energy and breakage of the network. This article aims to mitigate the energy hole problem (EHP) by implementing a corona‐based model in a clustered network. Here the cluster head selection is regularized by preferring the outer corona nodes over the inner ones. As a result, the energy balances evenly in the network with fewer loads to the nodes nearer to the sink. The distance between the sending node and the sink is evaluated to estimate the required energy for transmission. Only when a node has energy more than the required value, it is allowed to transmit, or else it turns off the radio to save energy. The proposed model is implemented in both homogeneous and heterogeneous networks and better network performance is observed.
On Improving Model Checking of Time Petri Nets and Its Application to the Formal Verification

Time Petri nets (TPN) are successfully used in the specification and analysis of distributed systems that involve explicit timing constraints. Especially, model checking TPN is a hopeful method for the formal verification of such complex systems. For this, it is promising to lean to the construction of an optimized version of the state space. The well-known methods of state space abstraction are SCG (state class graph) and ZBG (graph based on zones). For ZBG, a symbolic state represents the real evaluations of the clocks of the TPN; it is thus possible to directly check quantitative time properties. However, this method suffers from the state space explosion. To attenuate this problem, the authors propose in this paper to combine the ZBG approach with the partial order reduction technique based on stubborn set, leading thus to the proposal of a new state space abstraction called reduced zone-based graph (RZBG). The authors show via case studies the efficiency of the RZBG which is implemented and integrated within the 〖TPN-TCTL〗_h^∆ model checking in the model checker Romeo.
WHERE IN THE WORLD IS THIS RESEARCH? Improving Discovery of Literature through Geographic Inference

Searching scientific literature typically involves using keywords or controlled vocabularies, often without regards to the geographic location of where the research was done. When geographic location is present, it is usually in the form of ad hoc descriptions or a laboriously assigned controlled vocabulary. Many “georeferenced bibliographies” have tried to improve on this by geolocating the study area described in the article or other document type, but these are often unsustainable projects. They require extensive time and labor and become quickly outdated. Georeferenced bibliography is a fairly recent practice, and as such, traditional literature databases generally do not offer map-based searching. This paper highlights a project at two academic research libraries (University of Idaho and Kansas State University) currently funded by the Institute for Museum and Libraries Services (IMLS) through a National Leadership Planning Grant. The project aims to improve on the challenges of georeferenced bibliography by improving the JournalMap database (http://www.journalmap.org) which is focused on environmental literature. The team is also working with an international research organization’s subject-specific database (The Global Research Alliance on Agricultural Greenhouse Gases Croplands Research Group Croplands Research Database (CRDB)) as a prototype to demonstrate how JournalMap might work with other systems. Our goals include improving JournalMap to enable automating georeferencing, expanding the disciplinary focus beyond environmental literature, and creating a richer and more diverse application. In this paper, we will explain the logic of geographic inference as it pertains to literature discovery, and parameterization in library-based searching. We will then describe the project in greater detail and highlight ways that JournalMap may yield improvements
Makerspaces on the Continuum: Examining Undergraduate Student Learning in Formal and Informal Settings*

This qualitative study focuses on sociocultural aspects of learning inmakerspaceswith a focus on engineering projects. The project at the center of this study, a two ton interactive metal sculpture called Unfolding Humanity, was completed simultaneously in twomakerspaces: a university machine shop (embedded in a formal academic space) and a communitybased arts space (an informal space). Taken together, these sites span the continuumof formal/informal learning that exists in makerspaces. Using a phenomenographic approach, we examined how students experienced these spaces and the ways in which the characteristics of both environments may complement, hinder, or support student learning. Results indicated that the presence of experienced practitioners, clear rules of engagement, and a culture fostering student creativity are key to supporting learning in makerspaces.