bluuebunny/crossref_metadata_2025 huggingface dataset:
Differential Flag Leaf and Ear Photosynthetic Performance Under Elevated (CO2) Conditions During Grain Filling Period in Durum Wheat
Authors: Gámez Angie L. , Vicente Rubén , Sanchez-Bragado Rut , Jauregui Iván , Morcuende Rosa , Goicoechea Nieves , Aranjuelo Iker
Published: December 2020

Elevated concentrations of CO2 (CO2) in plants with C3 photosynthesis metabolism, such as wheat, stimulate photosynthetic rates. However, photosynthesis tends to decrease as a function of exposure to high (CO2) due to down-regulation of the photosynthetic machinery, and this phenomenon is defined as photosynthetic acclimation. Considerable efforts are currently done to determine the effect of photosynthetic tissues, such us spike, in grain filling. There is good evidence that the contribution of ears to grain filling may be important not only under good agronomic conditions but also under high (CO2). The main objective of this study was to compare photoassimilate production and energy metabolism between flag leaves and glumes as part of ears of wheat (Triticum turgidum L. subsp. durum cv. Amilcar) plants exposed to ambient [a(CO2)] and elevated [e(CO2)] (CO2) (400 and 700 μmol mol–1, respectively). Elevated CO2 had a differential effect on the responses of flag leaves and ears. The ears showed higher gross photosynthesis and respiration rates compared to the flag leaves. The higher ear carbohydrate content and respiration rates contribute to increase the grain dry mass. Our results support the concept that acclimation of photosynthesis to e(CO2) is driven by sugar accumulation, reduction in N concentrations and repression of genes related to photosynthesis, glycolysis and the tricarboxylic acid cycle, and that these were more marked in glumes than leaves. Further, important differences are described on responsiveness of flag leaves and ears to e(CO2) on genes linked with carbon and nitrogen metabolism. These findings provide information about the impact of e(CO2) on ear development during the grain filling stage and are significant for understanding the effects of increasing (CO2) on crop yield.
Improving the Identification and Coverage of Plant Transmembrane Proteins in Medicago Using Bottom–Up Proteomics
Authors: Lee Han Chung , Carroll Adam , Crossett Ben , Connolly Angela , Batarseh Amani , Djordjevic Michael A.
Published: December 2020

Plant transmembrane proteins (TMPs) are essential for normal cellular homeostasis, nutrient exchange, and responses to environmental cues. Commonly used bottom–up proteomic approaches fail to identify a broad coverage of peptide fragments derived from TMPs. Here, we used mass spectrometry (MS) to compare the effectiveness of two solubilization and protein cleavage methods to identify shoot-derived TMPs from the legume Medicago. We compared a urea solubilization, trypsin Lys-C (UR-TLC) cleavage method to a formic acid solubilization, cyanogen bromide and trypsin Lys-C (FA-CTLC) cleavage method. We assessed the effectiveness of these methods by (i) comparing total protein identifications, (ii) determining how many TMPs were identified, and (iii) defining how many peptides incorporate all, or part, of transmembrane domains (TMD) sequences. The results show that the FA-CTLC method identified nine-fold more TMDs, and enriched more hydrophobic TMPs than the UR-TLC method. FA-CTLC identified more TMPs, particularly transporters, whereas UR-TLC preferentially identified TMPs with one TMD, particularly signaling proteins. The results suggest that combining plant membrane purification techniques with both the FA-CTLC and UR-TLC methods will achieve a more complete identification and coverage of TMPs.
Producing Enhanced Yield and Nutritional Pigmentation in Lollo Rosso Through Manipulating the Irradiance, Duration, and Periodicity of LEDs in the Visible Region of Light
Authors: Cammarisano Laura , Donnison Iain S. , Robson Paul R. H.
Published: December 2020

Pigmented food are an important part of the human diet, and anthocyanins have demonstrable protection against tumor production in mouse models and beneficial effects on human liver chemistry. As such, producing pigmented crops is important for a nutritionally diverse diet. Lollo rosso lettuce is a fast-growing pigmented plant, is rich in phenolic compounds, and represents a suitable system to test optimization strategies for yield and anthocyanin production. High-energy UV wavebands are often used to stimulate increased pigmentation; however, we hypothesized that optimizing visible wavebands would deliver both yield and quality improvements. Growing Lollo rosso under irradiances between 5 and 180 W m–2using visible waveband LEDs produced 0.4 g fresh weight per W m–2in the linear portion of the curve between 5 and 40 W m–2and achieved an approximate asymptote of 20 g fresh weight at around 100–120 W m–2for yield. Anthocyanin content increased linearly with irradiance. We attempted to optimize the visible wavebands by supplementing half the asymptotic energy for 15 days with supplemental red (R) or blue (B) wavebands in the peaks of photosynthetic activity (430–460 and 630–660 nm). R and B affected rosette morphology with no significant impact on yield, but B significantly increased anthocyanin content by 94% compared to R. We therefore focused on further optimizing B by shortening the daily duration of supplemental B. The minimum B treatment that lacked significant pigment induction was 1 h. We hypothesized that short durations would be more active at different times in the diurnal cycle. Supplemental B was applied for 2 h at four different times. A night-break with B produced the highest yield and anthocyanin content. Our research demonstrates new ways to efficiently use readily available LEDs within the PAR wavebands to increase both yield and crop quality in controlled environment agriculture.
LAZY Gene Family in Plant Gravitropism
Authors: Jiao Zhicheng , Du Huan , Chen Shu , Huang Wei , Ge Liangfa
Published: December 2020

Adapting to the omnipresent gravitational field was a fundamental basis driving the flourishing of terrestrial plants on the Earth. Plants have evolved a remarkable capability that not only allows them to live and develop within the Earth’s gravity field, but it also enables them to use the gravity vector to guide the growth of roots and shoots, in a process known as gravitropism. Triggered by gravistimulation, plant gravitropism is a highly complex, multistep process that requires many organelles and players to function in an intricate coordinated way. Although this process has been studied for several 100 years, much remains unclear, particularly the early events that trigger the relocation of the auxin efflux carrier PIN-FORMED (PIN) proteins, which presumably leads to the asymmetrical redistribution of auxin. In the past decade, the LAZY gene family has been identified as a crucial player that ensures the proper redistribution of auxin and a normal tropic response for both roots and shoots upon gravistimulation. LAZY proteins appear to be participating in the early steps of gravity signaling, as the mutation of LAZY genes consistently leads to altered auxin redistribution in multiple plant species. The identification and characterization of the LAZY gene family have significantly advanced our understanding of plant gravitropism, and opened new frontiers of investigation into the novel molecular details of the early events of gravitropism. Here we review current knowledge of the LAZY gene family and the mechanism modulated by LAZY proteins for controlling both roots and shoots gravitropism. We also discuss the evolutionary significance and conservation of the LAZY gene family in plants.
The Genes of CYP, ZEP, and CCD1/4 Play an Important Role in Controlling Carotenoid and Aroma Volatile Apocarotenoid Accumulation of Apricot Fruit
Authors: Xi Wanpeng , Zhang Lina , Liu Shengyu , Zhao Guohua
Published: December 2020

Carotenoids are important coloration molecules and indispensable component of the human diet. And these compounds confer most of the apricot fruit yellow or orange color. In China, fruit of some apricot cultivar present light-yellow color but strong flowery flavor, however, the chemical mechanism remains unknown. Here, carotenoids and aroma volatile apocarotenoids (AVAs) in three skin types of apricot cultivars (orange, yellow, and light-yellow skinned) were determined by HPLC and GC-MS, respectively. And the transcript levels of carotenogenic genes were analyzed by qRT-PCR. The orange-skinned cultivars “Hongyu” and “Danxing” fruit presented the most abundant total carotenoid, β-carotene and specific α-carotene contents, and β-carotene (52–77%) increased to become the dominant carotenoid during fruit ripening. The transcript levels of lycopene β-cyclase (LCYb) and β-carotene hydroxylase (CHYb) sharply increased during ripening. The yellow-skinned cultivars “Sulian No. 2” and “Akeyaleke” fruit contained lower levels of total carotenoids and β-carotene but were rich in phytoene. The light-yellow coloration of “Baixing” and “Luntaixiaobaixing” fruit was attributed to low amounts of total carotenoids, lutein, and neoxanthin and an absence of β-cryptoxanthin, but high level of aroma volatile apocarotenoids (AVAs) such as β-ionone were detected in these cultivars fruit, accompanied by low transcript levels of carotene hydroxylase (CYP) and zeaxanthin epoxidase (ZEP) but high levels of carotenoid cleavage dioxygenase 1 (CCD1) and CCD4. Correlation analysis showed that the expression level of CCD1 negatively correlated with carotenoid accumulation but positively with AVAs production. These collected results suggest that both carotenoid biosynthesis and degradation are important for apricot coloration and aroma formation. CYP, ZEP, CCD1, and CCD4 may be the key regulation points for carotenoid and AVAs accumulation in apricot fruit, which provide important targets for quality-oriented molecular breeding.
Differentiation of Tracheary Elements in Sugarcane Suspension Cells Involves Changes in Secondary Wall Deposition and Extensive Transcriptional Reprogramming
Authors: Simões Marcella Siqueira , Ferreira Sávio Siqueira , Grandis Adriana , Rencoret Jorge , Persson Staffan , Floh Eny Iochevet Segal , Ferraz André , del Río José C. , Buckeridge Marcos Silveira , Cesarino Igor
Published: December 2020

Plant lignocellulosic biomass, mostly composed of polysaccharide-rich secondary cell walls (SCWs), provides fermentable sugars that may be used to produce biofuels and biomaterials. However, the complex chemical composition and physical structure of SCWs hinder efficient processing of plant biomass. Understanding the molecular mechanisms underlying SCW deposition is, thus, essential to optimize bioenergy feedstocks. Here, we establish a xylogenic culture as a model system to study SCW deposition in sugarcane; the first of its kind in a C4 grass species. We used auxin and brassinolide to differentiate sugarcane suspension cells into tracheary elements, which showed metaxylem-like reticulate or pitted SCW patterning. The differentiation led to increased lignin levels, mainly caused by S-lignin units, and a rise in p-coumarate, leading to increased p-coumarate:ferulate ratios. RNAseq analysis revealed massive transcriptional reprogramming during differentiation, with upregulation of genes associated with cell wall biogenesis and phenylpropanoid metabolism and downregulation of genes related to cell division and primary metabolism. To better understand the differentiation process, we constructed regulatory networks of transcription factors and SCW-related genes based on co-expression analyses. Accordingly, we found multiple regulatory modules that may underpin SCW deposition in sugarcane. Our results provide important insights and resources to identify biotechnological strategies for sugarcane biomass optimization.
PROJECTA: An Art-Based Tool in Trauma Treatment
Authors: Fernández-Cao Marián López , Camilli-Trujillo Celia , Fernández-Escudero Laura
Published: December 2020

Artistic images, of a universal nature and validated by global culture, are carriers of an emotional potential that can be used for therapeutic purposes in cultural centers as well as in clinical spaces. Esthetic studies reveal the mobilizing power in their contemplation and the capacity to bring out personal stories with healing potential. The general objective of this paper is to design and validate the PROJECTA instrument, consisting of the therapeutic use of artistic images to approach trauma or difficult conditions in therapy, by means of the association between art images and emotions, feelings or states of mind related with a traumatic experience. A mixed approach of investigation with a concurrent triangulation design has been used for the integration of qualitative and quantitative results, where qualitative research outweighs quantitative, but both have been QUAL → quan sequentially developed. The study was carried out in two phases. The first was a systematic review of the literature. The second, divided into five steps, consisted of the validation of artworks and the associated emotions with the participation of students, experts in art therapy, psychologists and educators through focus groups, interviews and an online questionnaire. The analysis techniques were qualitative and quantitative. A set of 220 artistic images linked to emotional states were proposed by experts in education, psychology and art therapy, and validated through an online questionnaire. The respondents included 228 students and professionals and for 64.55% of these images a consensus of over 80% was obtained. These images and their associated emotions were again reviewed by a confirmatory focus group. Finally, 92 artistic works were linked to primary, secondary and tertiary emotions such as love, joy, victory, surprise, balance, sense of humor, anger, sadness, fear, and emptiness. In addition, there are mobilizing images that have not been related to any emotion because of the polysemy of their meanings. It concludes that PROJECTA is a visual art therapy tool that provides professionals with a resource that helps facilitate the identification, expression or demonstration of emotions or feelings related with trauma, and in challenging situations of vulnerability, psychological discomfort or post-traumatic stress.
What Academic Factors Influence Satisfaction With Clinical Practice in Nursing Students? Regressions vs. fsQCA
Authors: Fernández-García David , Giménez-Espert María Del Carmen , Castellano-Rioja Elena , Prado-Gascó Vicente
Published: December 2020

Clinical practices are considered one of the cornerstones in nurses' education. This study provides a framework to determine how factors in the academic environment, influence nursing student's satisfaction with their practices. A cross-sectional analytical study was conducted in a convenience sample of 574 nursing students at a private university in Valencia, during the 2016/2017 academic year, 79% (456) were women. Two statistical methodologies were used for data analysis: hierarchical regression models (HRM) and fuzzy sets qualitative comparative analysis (fsQCA). The HRM indicate that the students' mean score influences all dimensions of satisfaction. Furthermore, in the fsQCA, the type of service and center, as well as the type of management, the preference in the choice of the practice center and the number of students per period per clinical educator influence satisfaction with clinical practices. These results could be used to understand how academic factors influence nursing students' satisfaction with their clinical practices and to create intervention programmes that improve it. This will help prepare students to be the future nursing workforce.
Sleep Quality and Self-Control: The Mediating Roles of Positive and Negative Affects
Authors: Liu Jinru , Zhu Lin , Liu Conghui
Published: December 2020

This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults (37% men; mean age = 32.5 years) completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control.
Intergroup Relations During the Refugee Crisis: Individual and Cultural Stereotypes and Prejudices and Their Relationship With Behavior Toward Asylum Seekers
Authors: Bye Hege H.
Published: December 2020

In this paper, I investigate intergroup relations between natives and asylum seekers during the European refugee crisis, and contribute to the reemerging methodological debate on the measurement of stereotypes and prejudices as individual and collective constructs. Drawing on data from the Norwegian Citizen Panel (NCP; N = 1,062), I examined how Norwegians stereotyped asylum seekers at the height of the refugee crisis and the emotional prejudices asylum seekers as a group elicited. By experimentally manipulating the survey question format, I examined whether and how stereotypes and emotional prejudices toward asylum-seekers differed depending on their measurement as individual or collective constructs. A subset of respondents (n = 228) had reception centers for asylum-seekers established in their local community during the crisis. These participants reported their behaviors toward the asylum seekers in their neighborhood. In this subsample, I investigated how individual facilitating and harming intergroup behavior was related to individual and collective conceptualizations of stereotypes and prejudices. The results showed that both low warmth and low competence stereotypes, as well as negative emotions toward asylum seekers, were rated as stronger when measured as collective as compared to individual-level constructs. In the individual condition, respondents reported feeling more admiration and sympathy than respondents in the collective condition attributed to others. Individual stereotypes and prejudices correlated systematically with individual facilitating and harming intergroup behaviors. The perception that others hold more negative stereotypes of asylum seekers, and the perceived anger and fear of others, did correlated with individual harming behaviors. Perceptions of others’ anxiety correlated negatively with facilitating behaviors. Implications and future directions for the conceptualization and measurement of stereotypes and emotional prejudices are discussed.
Disrupted Sense of Agency as a State Marker of First-Episode Schizophrenia: A Large-Scale Follow-Up Study
Authors: Kozáková Eva , Bakštein Eduard , Havlíček Ondřej , Bečev Ondřej , Knytl Pavel , Zaytseva Yuliya , Španiel Filip
Published: December 2020

Background: Schizophrenia is often characterized by a general disruption of self-processing and self-demarcation. Previous studies have shown that self-monitoring and sense of agency (SoA, i.e., the ability to recognize one's own actions correctly) are altered in schizophrenia patients. However, research findings are inconclusive in regards to how SoA alterations are linked to clinical symptoms and their severity, or cognitive factors.

Methods: In a longitudinal study, we examined 161 first-episode schizophrenia patients and 154 controls with a continuous-report SoA task and a control task testing general cognitive/sensorimotor processes. Clinical symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS).

Results: In comparison to controls, patients performed worse in terms of recognition of self-produced movements even when controlling for confounding factors. Patients' SoA score correlated with the severity of PANSS-derived “Disorganized” symptoms and with a priori defined symptoms related to self-disturbances. In the follow-up, the changes in the two subscales were significantly associated with the change in SoA performance.

Conclusion: We corroborated previous findings of altered SoA already in the early stage of schizophrenia. Decreased ability to recognize self-produced actions was associated with the severity of symptoms in two complementary domains: self-disturbances and disorganization. While the involvement of the former might indicate impairment in self-monitoring, the latter suggests the role of higher cognitive processes such as information updating or cognitive flexibility. The SoA alterations in schizophrenia are associated, at least partially, with the intensity of respective symptoms in a state-dependent manner.
Worsening of Preexisting Psychiatric Conditions During the COVID-19 Pandemic
Authors: Gobbi Susanna , Płomecka Martyna Beata , Ashraf Zainab , Radziński Piotr , Neckels Rachael , Lazzeri Samuel , Dedić Alisa , Bakalović Asja , Hrustić Lejla , Skórko Beata , Es haghi Sarvin , Almazidou Kristina , Rodríguez-Pino Luis , Alp A. Beyza , Jabeen Hafsa , Waller Verena , Shibli Dana , Behnam Mehdi A. , Arshad Ahmed Hussain , Barańczuk-Turska Zofia , Haq Zeeshan , Qureshi Salah U. , Jawaid Ali
Published: December 2020

Objectives: To ascertain factors associated with worsening of psychiatric conditions during the coronavirus disease 2019 (COVID-19) pandemic.

Methods: This study anonymously examined 2,734 psychiatric patients worldwide for worsening of their preexisting psychiatric conditions during the COVID-19 pandemic. An independent clinical investigation of 318 psychiatric patients from United States was used for verification.

Results: Valid responses mainly from 12 featured countries indicated self-reported worsening of psychiatric conditions in two-thirds of the patients assessed that was through their significantly higher scores on scales for general psychological disturbance, posttraumatic stress disorder, and depression. Female gender, feeling no control of the situation, reporting dissatisfaction with the response of the state during the COVID-19 pandemic, and reduced interaction with family and friends increased the worsening of preexisting psychiatric conditions, whereas optimism, ability to share concerns with family and friends, and using social media like usual were associated with less worsening. An independent clinical investigation from the United States confirmed worsening of psychiatric conditions during the COVID-19 pandemic based on identification of new symptoms that necessitated clinical interventions such as dose adjustment or starting new medications in more than half of the patients.

Conclusions: More than half of the patients are experiencing worsening of their psychiatric conditions during the COVID-19 pandemic.
Automatic Identification of Information Quality Metrics in Health News Stories
Authors: Al-Jefri Majed , Evans Roger , Lee Joon , Ghezzi Pietro
Published: December 2020

Objective: Many online and printed media publish health news of questionable trustworthiness and it may be difficult for laypersons to determine the information quality of such articles. The purpose of this work was to propose a methodology for the automatic assessment of the quality of health-related news stories using natural language processing and machine learning.

Materials and Methods: We used a database from the website HealthNewsReview.org that aims to improve the public dialogue about health care. HealthNewsReview.org developed a set of criteria to critically analyze health care interventions' claims. In this work, we attempt to automate the evaluation process by identifying the indicators of those criteria using natural language processing-based machine learning on a corpus of more than 1,300 news stories. We explored features ranging from simple n-grams to more advanced linguistic features and optimized the feature selection for each task. Additionally, we experimented with the use of pre-trained natural language model BERT.

Results: For some criteria, such as mention of costs, benefits, harms, and “disease-mongering,” the evaluation results were promising with an F1 measure reaching 81.94%, while for others the results were less satisfactory due to the dataset size, the need of external knowledge, or the subjectivity in the evaluation process.

Conclusion: These used criteria are more challenging than those addressed by previous work, and our aim was to investigate how much more difficult the machine learning task was, and how and why it varied between criteria. For some criteria, the obtained results were promising; however, automated evaluation of the other criteria may not yet replace the manual evaluation process where human experts interpret text senses and make use of external knowledge in their assessment.
Intention to Engage in Winter Sport in Climate Change Affected Environments
Authors: Frühauf Anika , Niedermeier Martin , Kopp Martin
Published: December 2020

Exercise, including winter sport activities, shows positive effects on physical and mental health, with additional benefits when participating in natural environments. Winter sport activities are particularly vulnerable to climate change, since global warming will decrease the duration and amount of snow. In the context of climate change in alpine environments, little is known on the determinants of winter sport behavior. Thus, the following study primarily aimed at comparing the effect of being exposed to a climate change affected scenario (CCA) or to a climate change unaffected scenario (CCU) on the intention to engage in recreational winter sport activities. Secondly, we aimed to analyze the role of anticipated affective responses during exercising based on the Theory of Planned Behavior (TPB). An experimental cross-sectional web-based study design was used. Participants were randomly allocated to pictures of either CCA or CCU. TPB variables and affective responses with regard to the displayed scenarios were assessed. Statistical analyses included Mann-Whitney-U Tests, linear regression, and mediation analyses. Significant group differences were seen in all TPB variables, p < 0.038; −0.13 < r < −0.30, as well as in affective responses, p < 0.001; −0.24 < r < −0.85. Lower intention to engage in winter sport activities and lower anticipated affective valence during exercising was found in CCA compared to CCU. Attitude toward winter sport was significantly positively associated with intention to engage in winter sport, beta = 0.66, p < 0.001. The effect of group allocation on attitude was mediated by anticipated affective valence, indirect effect = 0.37, p < 0.001. Intention to engage in recreational winter sport activities was lower in participants exposed to the climate change affected winter sport scenario. Since affective valence seems to influence attitude and consequently intention to exercise, the role of non-cognitive variables with regard to climate change related exposure should be considered in future studies. Therefore, winter sport resorts may consider altered winter sport behaviors due to the consequences of climate change as well as the importance of providing an optimal framework to enhance affective valence of their guests in order to mitigate potential changes in winter sports behavior.
Aligning Climate Change and Sustainable Development Goals With an Innovation Systems Roadmap for Renewable Power
Authors: Hernandez Rebecca R. , Jordaan Sarah M. , Kaldunski Ben , Kumar Naresh
Published: December 2020

Energy development improves quality of life for humans, but also incurs environmental consequences. A global energy transition from fossil fuels to renewable energy may mitigate climate change but may also undermine the capacity to achieve some or all 17 Sustainable Development Goals (SDGs). In this study, we use an innovation systems approach to construct a comprehensive roadmap for solar and wind energy to anticipate and improve impacts of a transition to a low carbon future in a manner ensuring climate goals and SDGs are mutually reinforcing. Our multidisciplinary approach began with an assessment of public investments in renewable energy followed by a 2-day research prioritization workshop. Fifty-eight expert workshop participants identified six research themes that proactively address the environmental sustainability of renewable energy. Next, we identified linkages between the six research themes and all 17 SDGs. Finally, we conducted a scientiometric analysis to analyze the research maturity of these themes. The results of these efforts elucidated the limits of existing knowledge of renewable energy-SDG interactions, informing the development of a research, development, demonstration, and deployment (RD3) roadmap to a renewable energy future aligned with both climate goals and SDGs. The RD3 roadmap has been designed to systematically develop solutions for diverse actors and organizations. Overall, our findings confer a broad vision for a sustainable transition to renewables to minimize unintended environmental consequences while supporting interoperability among actors particularly poised to influence its magnitude and direction.
Organ-on-Chip: Playing LEGO® With Mini-Organs to Reduce Animal Testing and Make Medicines Safer
Authors: Rogal Julia , Cipriano Madalena , Loskill Peter
Published: December 2020

Have you ever pictured yourself as a LEGO®-mini-figure? That is pretty cool, right?! But now, instead of picturing yourself as an astronaut, superhero, or elf-figure, try to imagine your own body being miniature and built from LEGO®–one brick for each of your organs. Sound weird? Let us explain why a mini LEGO®-version of you could be extremely useful and could become reality in the future. Such technology might help end testing that uses laboratory animals and help your doctors understand your disease. We use people’s cells and small plastic housings to build mini-organs the size of small LEGO®-bricks, such as a beating heart or energy-storing fat tissue. Similar to playing LEGO®, we can also connect different organ-bricks and study how they talk and work with each other. In this article, we will tell you how this all works and why it is so much better than animal experiments.
How Do Teens and Adults Learn About Other People?
Authors: Korn Christoph W. , Rosenblau Gabriela
Published: December 2020

Imagine that you meet someone new. You may wonder what they like, for example how much do they like baseball? You then get their feedback, which helps you to predict how much they like something similar, like basketball. We tested how teens and adults decide what others like and dislike and how they learn about others through feedback. This learning process can be described with mathematical models that calculate prediction errors—the difference between how much you think someone likes baseball and their actual preference for it. Teens and adults differed in how quickly they learned about others using this measure. Teens also tended to use a different brain region than adults when learning about the preferences of other people. This study helps us to understand how social learning develops over teenage years.
Assessing Transitions to Sustainable Agricultural and Food Systems: A Tool for Agroecology Performance Evaluation (TAPE)
Authors: Mottet Anne , Bicksler Abram , Lucantoni Dario , De Rosa Fabrizia , Scherf Beate , Scopel Eric , López-Ridaura Santiago , Gemmil-Herren Barbara , Bezner Kerr Rachel , Sourisseau Jean-Michel , Petersen Paulo , Chotte Jean-Luc , Loconto Allison , Tittonell Pablo
Published: December 2020

There is increasing interest in agroecology as a way to move toward more sustainable agriculture and food systems. However, the evidence of agroecology's contribution to sustainability remains fragmented because of heterogeneous methods and data, differing scales and timeframes, and knowledge gaps. Facing these challenges, 70 representatives of agroecology-related organizations worldwide participated in the development of the Tool for Agroecology Performance Evaluation (TAPE), to produce and consolidate evidence on the multidimensional performances of agroecological systems. TAPE is composed of: Step 0, the preliminary step that includes a description of the main socio-economic and demographic characteristics of the agricultural and food systems and an analysis of the enabling environment in terms of relevant policy, market, technology, socio-cultural and/or historical drivers; Step 1, the Characterization of Agroecological Transitions (CAET), based on the 10 Elements of Agroecology adopted by FAO and its member countries, using descriptive scales to establish scores and assessing the degree of transition, with information from the farm/household and community/territory scale; Step 2, the Core Criteria of Performance listing the key dimensions considered relevant to address the Sustainable Development Goals (SDGs): Environment & climate change; Health & nutrition; Society & culture; Economy and Governance. Finally Step 3, a participatory validation of the results obtained from the previous steps with the producers and relevant stakeholders. TAPE can be used (i) to assess the extent of agroecological transition among agricultural producers in a community or a territory, (ii) to monitor and evaluate projects by characterizing the initial and subsequent steps in an agroecological transition, and/or (iii) to evaluate widely diverse agricultural systems against agroecological elements and how they contribute to the achievement of the SDGs. Its application can support the transition of all forms of agricultural systems toward more sustainable practices and the formulation of adequate policies to enable this transformation. Preliminary results from pilot applications show that TAPE can perform in a variety of geographic regions and agroecosystems and that it allows assessment of performances of various criteria that move beyond classic indicators to begin to build a global evidence base for agroecology and support transformation to sustainable agricultural production and food systems.
Reference Ranges for Hematological and Biochemical Profile of Martina Franca Donkeys
Authors: Trimboli Francesca , De Amicis Ippolito , Di Loria Antonio , Ceniti Carlotta , Carluccio Augusto
Published: December 2020

The Martina Franca donkey (MFd) is one of the largest Italian donkey breeds, considered as endangered breed. To support the conservation strategies, knowledge about the physiologic hematological parameters of MFds is needed. The aims of the study were to determine reference value for hematological and major serum parameters in a population of healthy MFds and to estimate the influence of age on these parameters. Eighty-one clinically healthy MFds (17 males and 64 females) in different ages were enrolled: group A (foals, n° 16, animals < 1 year old) group B (young animals, n° 36, from 1 to 3 years old), and group C (adult animals, n° 29, over 3 years old). Red blood cell count (RBC); hematocrit value (HCT); hemoglobin concentration (HGB); mean corpuscular volume (MCV); mean corpuscular hemoglobin (MCH); hemoglobin concentration distribution width (HDW); RBC distribution width (RDW); total white blood cell (WBC); WBC differential count for neutrophils, lymphocytes, monocytes, eosinophils and basophils, and platelets (PLT); mean platelet volume (MPV); platelet volume distribution width; and plateletcrit (PCT) were analyzed. The biochemistry panel included aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma glutamyl transferase (GGT), total serum protein (TP), albumin (ALB), cholesterol (CHOL), triglyceride (TGL), blood urea nitrogen (BUN), creatinine (CREA), glucose (GLU), Ca2+, phosphorus, Na+, Cl−, K+, and Mg2+. The effect of age on hematological parameters was investigated using one-way ANOVA test. Age of donkeys does not influence total WBC, HGB, HCT, platelet count and MPV, and PCT (P> 0.05). Some leukocyte populations such as eosinophils, monocytes, and basophils showed age-linked variations (P< 0.05). RBC count, RDW, and HDW decrease with age whereas MCV and MCH increase. Na+, K+, Cl−, Ca2+, phosphorus, ALP, GGT, CREA, GLUC, and CHOL decrease with age (P< 0.05), while AST and TP showed an increase with aging (P< 0.05). ALB reaches the lowest values in young donkeys and returns to values of foals in older animals (P< 0.05). Finally, a difference among groups for BUN and TGL was not found (P< 0.05). The results suggest how even for the MFd breed, age is a variable that affects different hematological and biochemical parameters. Compared to other donkey and horses, the MFd breed showed some differences that clinicians involved during conservation strategies need to be consider.
Assessment of Controlled Substance Distribution to U.S. Veterinary Teaching Institutions From 2006 to 2019
Authors: Piper Brian J. , McCall Kenneth L. , Kogan Lori R. , Hellyer Peter
Published: December 2020

Objective: To evaluate the changing pattern of distribution of Schedule II and III opioids, barbiturates, and stimulants to veterinary educational institutions in the United States.

Design: Longitudinal study.

Sample: Veterinary teaching institutions that use Schedule II and III drugs.

Procedures: Distribution of controlled substances to veterinary teaching institutions was obtained from the Drug Enforcement Administration's Automated Reports and Consolidated Orders System (ARCOS) for opioids (e.g., methadone, fentanyl, codeine), barbiturates (pentobarbital, butalbital), and stimulants (amphetamine, methylphenidate, lisdexamfetamine) from 2006–2019. Opioids were converted to their morphine milligram equivalents (MME) for evaluation over time.

Results: Controlled substance distribution to veterinary schools exhibited dynamic, and agent specific, changes. The total MME for 11 opioids peaked in 2013 and decreased by 17.3% in 2019. Methadone accounted for two-fifths (42.3%) and fentanyl over one-third (35.4%) of the total MME in 2019. Pentobarbital distribution was greatest by weight of all substances studied and peaked in 2011 at 69.4 kg. Stimulants underwent a pronounced decline and were very modest by 2014.

Conclusions and Clinical Relevance: Opioids by total MME in veterinary teaching practice have undergone more modest changes than opioids used with humans. Hydrocodone, codeine and recently fentanyl use have declined while methadone increased. Stimulant distribution decreased to become negligible. Together, this pattern of findings warrant continued monitoring.
In Vivo Pollen Tube Growth and Evidence of Self-Pollination and Prefloral Anthesis in cv. Macabeo (Vitis vinifera L.)
Authors: García-Breijo Francisco , Armiñana José Reig , Garmendia Alfonso , Cebrián Nuria , Beltrán Roberto , Merle Hugo
Published: December 2020

Cultivar Macabeo is one of the most planted white grape varieties of northern Spain. A general agreement supports many Vitis vinifera cultivars possibly being self-fertile, although this seems to be a variety-dependent characteristic. No previous information about the mating system of cv. Macabeo was found. This study aimed to analyze its mating system and to compare the in vivo fertilization process with and without artificial cross-pollination. Two treatments were performed: emasculation and cross-pollination. The seed number was counted, and pollen tube growth was observed by microscopy. The results showed that cv. Macabeo is self-fertile and selfing probably occurs before the flower opens. Pollen was found over the stigma of flowers before capfall and ovule fertilization was observed even in emasculated flowers, which suggests that germination and pollen tube growth happened in a very early flower development stage. Cross-pollination increased the presence of the pollen tubes growing inside flowers but was not necessary for fruit set. Ovule fertilization was very fast as 24 h (h) were enough for pollen tubes to reach the end of stylar canals.
Ground Beetles (Carabidae) in the Short-Rotation Coppice Willow and Poplar Plants—Synergistic Benefits System
Authors: Piotrowska Natalia Stefania , Czachorowski Stanisław Zbigniew , Stolarski Mariusz Jerzy
Published: December 2020

In a short period, we have observed the rapid expansion of bioenergy, resulting in growth in the area of energy crops. In Europe, willow and poplar growing in short-rotation coppices (SRC) are popular bioenergy crops. Their potential impact on biodiversity has not yet been fully investigated. Therefore, there are many uncertainties regarding whether commercial production can cause environmental degradation and biodiversity impoverishment. One of the aspects examined is the impact of these crops on entomofauna and ecosystem services. The best-studied insect group is ground beetles from the Carabidae family. This work gathers data on biodiversity and the functions of carabids in willow and poplar energy plants. The results of these investigations show that energy SRC plants and Carabidae communities can create a synergistic system of mutual benefits. Willow and poplar plants can be a valuable habitat due to the increased biodiversity of entomofauna. Additionally, SRC creates a transitional environment that allows insect migration between isolated populations. On the other hand, ground beetles are suppliers of ecosystem services and make a significant contribution to the building of sustainable agriculture by pest control, thereby ameliorating damage to field crops.
Fruit Yields Depend on Biomass and Nutrient Accumulations in New Shoots of Citrus Trees
Authors: Fan Zihan , Xiong Huaye , Luo Yayin , Wang Yuheng , Zhao Huanyu , Li Wenli , He Xinhua , Wang Jie , Shi Xiaojun , Zhang Yueqiang
Published: December 2020

New shoots (including newly formed leaves and twigs) and fruits of citrus tree are key organs for present yield formation and flower differentiation in the next season, but the relationship between yield fluctuation and accumulations of major nutrients in new shoots and fruits of citrus tree is still unclear. Thus, to quantify the biomass and mineral nutrient accumulation in new shoots and fruits of citrus trees under varied yield levels has essential significance for rational fertilization and pruning management for citrus orchards. The purpose of this study was, therefore, to investigate the accumulation of nitrogen (N), phosphorus (P), potassium (K), calcium (Ca) and magnesium (Mg), and the distribution of biomass in new shoots and fruits of citrus trees under low, medium and high-yield levels in each of eight orchards located in Chongqing, China. The results showed that substantial variation of fruit yield was observed in all eight orchards with an average yield of 15.0 (low), 30.9 (medium) and 60.1 (high) kg/plant. The averaged biomass of new shoots ranged from 1.59 to 2.51 kg/plant, which was significantly and positively correlated with fruit yield. Nutrient accumulation in leaves was generally highest among new organs, while more than half of N (52.70–71.4%), P (66.5–80.4%) and K (68.9–85.9%) accumulated in fruit. Fruit yields closely correlated with total amounts of major nutrients in new shoots. Furthermore, the nutrient requirements per unit of newly developed shoots and fruits were gradually decreased with increased yield, but the removed nutrients per ton of fresh fruit were almost stable, indicating that more nutrients were distributed into fruit tissues. Taken together, these findings are valuable for optimizing nutrient and pruning management in citrus orchards in China and other similar countries.
Development and Application of Image-Based High-Throughput Phenotyping Methodology for Salt Tolerance in Lentils
Authors: Dissanayake Ruwani , Kahrood Hossein V. , Dimech Adam M. , Noy Dianne M. , Rosewarne Garry M. , Smith Kevin F. , Cogan Noel O. I. , Kaur Sukhjiwan
Published: December 2020

Soil salinity is a major abiotic stress in Australian lentil-producing areas. It is therefore imperative to identify genetic variation for salt tolerance in order to develop lentil varieties suitable for saline soils. Conventional screening methods include the manual assessment of stress symptoms, which can be very laborious, time-consuming, and error-prone. Recent advances in image-based high-throughput phenotyping (HTP) technologies have provided unparalleled opportunities to screen plants for a range of stresses, such as salt toxicity. The current study describes the development and application of an HTP method for salt toxicity screening in lentils. In a pilot study, six lentil genotypes were evaluated to determine the optimal salt level and the growth stage for distinguishing lentil genotypes using red–green–blue (RGB) images on a LemnaTec Scanalyzer 3D phenomics platform. The optimized protocol was then applied to screen 276 accessions that were also assessed earlier in a conventional phenotypic screen. Detailed phenotypic trait assessments, including plant growth and green/non-green color pixels, were made and correlated to the conventional screen (r = 0.55; p < 0.0001). These findings demonstrated the improved efficacy of an image-based phenotyping approach that is high-throughput, efficient, and better suited to modern breeding programs.
Proteomic Analysis of Tear Film Obtained from Diabetic Dogs
Authors: Winiarczyk Dagmara , Winiarczyk Mateusz , Winiarczyk Stanisław , Michalak Katarzyna , Adaszek Łukasz
Published: December 2020

Canine diabetes mellitus is a significant health burden, followed with numerous systemic complications, including diabetic cataracts and retinopathy, leading to blindness. Diabetes should be considered as a disease damaging all the body organs, including gastrointestinal tract, through a complex combination of vascular and metabolic pathologies, leading to impaired gut function. Tear film can be obtained in a non-invasive way, which makes it a feasible biomarker source. In this study we compared proteomic changes ongoing in tear film of diabetic dogs. The study group consisted of 15 diabetic dogs, and 13 dogs served as a control group. After obtaining tear film with Schirmer strips, we performed 2-dimensional electrophoresis, followed by Delta2D software analysis, which allowed to select statistically significant differentially expressed proteins. After their identification with MALDI-TOF (matrix assisted laser desorption and ionisation time of flight) spectrometry we found one up-regulated protein in tear film of diabetic dogs—SRC kinase signaling inhibitor 1 (SRCIN1). Eight proteins were down-regulated: phosphatidylinositol-4 kinase type 2 alpha (PI4KIIα), Pro-melanin concentrating hormone (Pro-MCH), Flotillin-1, Protein mono-ADP ribosyltransferase, GRIP and coiled coil domain containing protein 2, tetratricopeptide repeat protein 36, serpin, and Prelamin A/C. Identified proteins were analyzed by Panther Gene Ontology software, and their possible connections with diabetic etiopathology were discussed. We believe that this is the first study to target tear film proteome in canine diabetes. We believe that combined with traditional examination, the tear film proteomic analysis can be a new source of biomarkers both for clinical practice, and experimental research.