Miracle-dz/UniFAR-FTUs huggingface dataset:
Romanian 1 Carpathian populations of Norway spruce ( Picea abies L . Karst ) 2 3

Norway spruce is a native European coniferous species distributed from the Carpathian 18 Mountains and the Alps to northern Scandinavia. In the coming decades, spruce forests will need to 19 cope with increasing climate changes which are already threatening their natural habitats. European 20 forest policy should adapt to the changing climate by deploying drought-tolerant genotypes in 21 regions expected to experience increased stress in the future. To identify reliable water stress 22 biomarkers in this species, which may be eventually used to select populations responding better to 23 forecasted drought events, we studied the physiological responses to severe water stress treatments 24 of spruce seedlings originating from several locations in the Romanian Carpathian Mountains. One25 year old seedlings were denied irrigation for six weeks in order to generate severe water stress in 26 controlled conditions. Variations in the levels of the studied photosynthetic pigments, osmolytes, 27 and non-enzymatic antioxidants were detected across the spruce populations. Several of the 28 determined parameters in seedling needles, such as the decrease in water content (nearly 40% 29 decrement in the most sensitive studied populations), the degradation of chlorophylls, or a low 30 increase of proline levels (up to seven-fold increment in the most sensitive populations in 31 comparison to no change in the most tolerant ones), could be employed as biomarkers for an early 32 assessment of water stress at this stage. Furthermore, seedlings from two of the populations under 33 study (Sudrigiu and Gioristea-Calimanut) apparently responded better to water stress than the other 34 populations, as shown by their lower reduction in needle water content, no degradation of 35 chlorophyll a and carotenoids, and less proline accumulation, suggesting a relatively higher 36
CLOT DISSOLVING ENZYME FROM A NEWLY ISOLATED BACTERIUM FROM SLAUGHTER HOUSE SOIL AND ITS FIBRINOLYTIC GENE EXPRESSION

A potent strain of fibrinolytic enzyme producing bacterium isolated from slaughter house soil was identified on the basis of its phylogenetic analysis using 16SrRNA sequence. The partial 16SrRNA sequence of the isolated strain was deposited in Gen Bank under accession number KF275670. The genomic DNA of the Bacillus cereus SPL3 was isolated and a primer for fibrinolytic enzyme gene was designed on the basis of already reported fibrinolytic enzyme gene of Bacillus subtilis. This primer is used for PCR amplification of fibrinolytic enzyme gene of Bacillus cereus SPL3. The vector and PCR product were digested by Bam H1 and Xho 1 resriction enzymes. After purification, the digested products were ligated by T4DNA ligase and constructed the recombinant plasmid. Recombinant transformants were produced using JM109 competent cells. To confirm the fibrinolytic activity of the expressed protein Fibrin zymography and fibrinolytic enzyme assays were done. This study provides ample evidence that the fibrinolytic enzyme can be actively expressed in E. coli using recombinant DNA technology.
Robust Control Scheme for a Three Phase Grid-Tied Inverter With <inline-formula><tex-math notation="LaTeX">$LCL$</tex-math></inline-formula> Filter During Sensor Failures

This article discusses the operation of a three phase grid-connected inverter with LCL filter under an unbalanced/distorted grid voltage condition. Two case studies are considered in this article that relate to the operation during grid side current and voltage sensor failure. First, a case study showing the operation of the inverter during a grid side current sensor failure is discussed. Second, a case study showing a grid voltage sensor failure is discussed. For the grid side current sensor failure methodology is developed and discussed to estimate the grid current from the sensed inverter current and the capacitor voltage reference. For the grid side voltage sensor failure, an internal model based grid voltage estimation architecture is proposed, and both its local and global stability analyses are presented. The controller design is based on the Lyapunov energy function, and its derivation during the two types of sensors failure have been discussed and presented along with a detailed mathematical analysis. The proposed architecture is verified on a reduced-scale laboratory prototype, and various case study results are presented.
Globins and hemogenic cells in the marine Annelid Platynereis dumerilii shed new light on blood evolution in Bilaterians

How vascular systems and their respiratory pigments evolved is still debated. To unravel blood evolution in Bilaterians, we studied the marine Annelid Platynereis dumerilii. Platynereis exhibits a closed vascular system filled with extracellular hemoglobin. An exhaustive screen in Platynereis genome reveals a family of 17 globins. Seven extracellular globins are produced by specialized hemogenic cells lining the vessels of the segmental appendages of the worm, serving as gills. Extracellular globins are absent in juveniles then accumulate considerably as the worm size and activity increase, culminating in swarming adults. Phylogenetic analyses with deep screenings in complete genomes establish that five globin genes (stem globins) were present in the last common ancestor of Bilaterians. All known Bilaterian blood globins are derived convergently from a single presumably ubiquitously expressed, intracellular stem globin gene. All five globin types are retained in Platynereis, reinforcing this species status as a key slow evolving genome within Bilaterians. CC-BY-NC-ND 4.0 International license It is made available under a was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint (which . http://dx.doi. org/10.1101/789214 doi: bioRxiv preprint first posted online Oct. 7, 2019;
The Self in the Mind’s Eye: Revealing How We Truly See Ourselves Through Reverse Correlation

Is there a way to visually depict the image people “see” of themselves in their minds’ eyes? And if so, what can these mental images tell us about ourselves? We used a computational reverse-correlation technique to explore individuals’ mental “self-portraits” of their faces and body shapes in an unbiased, data-driven way (total N = 116 adults). Self-portraits were similar to individuals’ real faces but, importantly, also contained clues to each person’s self-reported personality traits, which were reliably detected by external observers. Furthermore, people with higher social self-esteem produced more true-to-life self-portraits. Unlike face portraits, body portraits had negligible relationships with individuals’ actual body shape, but as with faces, they were influenced by people’s beliefs and emotions. We show how psychological beliefs and attitudes about oneself bias the perceptual representation of one’s appearance and provide a unique window into the internal mental self-representation—findings that have important implications for mental health and visual culture.
Title : Dietary calcium intake in a cohort of individuals evaluated for low bone mineral density : a multicenter Italian study

Title: Dietary calcium intake in a cohort of individuals evaluated for low bone mineral density: a multicenter Italian study Authors: *Elisa Cairoli, *Carmen Aresta, Luca Giovanelli, Cristina Eller-Vainicher, Silvia Migliaccio, Sandro Giannini, Andrea Giusti, Claudio Marcocci, Stefano Gonnelli, Gian Carlo Isaia, Maurizio Rossini, **Iacopo Chiodini, Marco Di Stefano on behalf of the Italian Society for Osteoporosis, Mineral Metabolism and Skeletal Diseases (SIOMMMS) *equally contributed; **corresponding author; Affiliations: Istituto Auxologico Italiano IRCCS, Unit for Bone Metabolism Disease and Diabetes and Lab of Endocrine and Metabolic Research, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy; Fondazione IRCCS Ospedale Maggiore Policlinico, Unit of Endocrinology, Milan, Italy; Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Rome, Italy; Department of Medicine, Medical Clinic 1, University of Padua, Padua, Italy; Unit of Rheumatology, ASL3 Liguria Region, Genoa, Italy; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy; Department of Medicine, Surgery and Neuroscience, Le Scotte University Hospital, University of Siena, Siena, Italy; Department of Medical Science, Section of Gerontology and Bone Metabolic Disease, University of Turin, Turin, Italy; Department of Medicine, Rheumatology Unit, University of Verona, Verona, Italy. Corresponding author: Iacopo Chiodini; Unit for Bone Metabolism Diseases and Diabetes & Lab of Endocrine and Metabolic Research, Istituto Auxologico Italiano, IRCCS, Via Magnasco 2, 20149 Milan, Italy; Tel +39 02 61911 2738; email: iacopo.chiodini@unimi.it; i.chiodini@auxologico.it
How Governance Paradigms and Other Drivers Affect Public Managers’ Use of Innovation Practices. A PLS-SEM Analysis and Model

Using the Unified Theory of Acceptance and Use of Technology for Innovations in the Public Sector (UTAUT-IPS) model, this study examined the influences on using a specific innovation practice on public managers. We based our analysis on an end-of-2019 sample of 227 Spanish public managers, aiming to answer the question “Are public innovation and project managers driven only by a governance paradigm, influencing their intention and usage of an innovation practice? ” Using the Partial Least Squares Structural Equation Modelling (PLS-SEM) algorithm, we singled out the effects of the governance paradigm, performance expectancy, and motivation, among seven other behavioral composite variables. The PLS-Prediction-Oriented Segmentation routine was used to segment our sample into three distinct groups of innovation managers: (i) those driven by nearly all influences; (ii) those driven by results and the governance paradigm; and (iii) those driven by governance and habits. The three groups highlight the different practical approaches to public innovation and co-creation initiatives, which clearly reflect the complex process of deciding which tool (or tools) should be used to implement these. Our UTAUT-IPS model helps visualize this complex decision-making process.
Dynamical generation of soliton in one-dimensional Raman-type spin-orbit coupled Fermi superfluid

Lingchii Kong, Genwang Fan, Shi-Guo Peng, Xiao-Long Chen3,∗ Huaisong Zhao1,† and Peng Zou1‡ College of Physics, Qingdao University, Qingdao 266071, China International Center for Quantum Materials, School of Physics, Peking University, Beijing 100871, China Institute for Advanced Study, Tsinghua University, Beijing 100084, China and State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
Energy Consumption Measurement Frameworks for Android OS: A Systematic Literature Review

—In a modern world smartphones became a commonly used electronic devices performing numerous day-to-day tasks and much more. Quick battery discharge degrades user experience, and computationally intensive or badly written programs are responsible for it. It is not always evident which tool to use and how to set up an experiment to estimate energy consumption of a speciﬁc application. For this we conducted a Systematic Literature Review (SLR) to list existing frameworks to measure application power metering for Android OS, to classify the approaches used to create them and also to assess their accuracy and experimental methodology. Our ﬁndings indicate that although there is a considerable amount of studies in this ﬁeld with various approaches, there is still a vacant place for a readily available tool, and it is difﬁcult to compare accuracy of different frameworks. However there is a solid set of practices and techniques for experimental setup in application energy measurement.
Implementation of AHP and Topsis Methods to Determine the Ability of Farmer Groups

Farmersmall in developing countries are besieged by many constraints such as constraints the yield of that crop low, limited access to credit and extension services, low capacity of farmers and slow transfer of technology and information (Markelova et al., 2009). Efforts to develop farmer groups in Indonesia have been going on since the Dutch colonial era. Meanwhile, the condition of the farmer groups from year to year can be said to have not experienced the development as expected or can be said to be stationary or even declining.From the problems of farmer groups, it is necessary to have a comprehensive evaluation of the development of farmer groups. Evaluation of the development of farmer groups is carried out based on the relevant group management criteria for a farmer group. The criteria for the ability class in farmer groups to be evaluated are (a) planning, (b) organizing, (c) implementation, (d) controlling and reporting, (e) developing farmer group leadership.To solve the problems mentioned above, you can use a mThe method that is often applied in decision support systems, namely AHP, various decision support systems have been widely applied in the industrial world. Basically it refers to the evaluation of a number of criteria, to evaluate a number of existing criteria the AHP method is used which is able to approach the assessment of qualitative criteria and quantitative criteria.The results of the evaluation phase are then prioritized. Prioritization is determined because of the large number of farmer groups in Indonesia and limited human resources in an effort to improve the quality of farmer groups. Priority determination is done by implementing the AHP and TOPSIS methods. The results of the calculation using this method will obtain the ranking of the performance / ability of farmer groups in managing their farmer groups. The priority for increasing the capacity of farmer groups is focused on farmer groups that have low scores. The existence of the SPK application makes it easier to determine the class of farmer groups quickly and better based on processed data. KeywordsAHP; TOPSIS; Decission Support System.
Mutations induced by pollutants may promote pathogen evolution for example by accelerating

The glyphosate-based herbicide Roundup ® does not elevate genome-wide mutagenesis of E. 1 coli 2 Clayton Tincher, Hongan Long*, Megan Behringer, Noah Walker, Michael Lynch 3 Department of Biology, Indiana University, Bloomington, Indiana USA 47405 4 5 *Corresponding author: longhongan@gmail.com 6 Address: 1001 East 3rd Street, Bloomington, Indiana, USA 47405 7 Phone: +1 (812) 856-0115 8 Fax: +1 (812) 855-6705 9 10 Running title: 11 The glyphosate-based herbicide Roundup ® is not mutagenic to E. coli 12 13 14 G3: Genes|Genomes|Genetics Early Online, published on August 9, 2017 as doi:10.1534/g3.117. 300133
Risk Variance Penalization

The key of the out-of-distribution (OOD) generalization is to generalize invariance from training domains to target domains. The variance risk extrapolation (V-REx, Krueger et al. (2020)) is a practical OOD method, which depends on a domain-level regularization but lacks theoretical veriﬁcations about its motivation and function. This article provides theoretical insights into V-REx by studying a variance-based regularizer. We propose Risk Variance Penalization (RVP), which slightly changes the regularization of V-REx but addresses the theory concerns about V-REx. We provide theoretical explanations and a theory-inspired tuning scheme for the regularization parameter of RVP. Our results point out that RVP discovers a robust predictor. Finally, we experimentally show that the proposed regular-izer can ﬁnd an invariant predictor under certain conditions.
National culture and innovation: a multidimensional analysis

This study aims to examine the relationships between the different national culture dimensions presented by Hofstede and innovation data by country to analyze which characteristics of national culture dimensions contribute to the country becoming more innovative. ,The study is characterized as descriptive and quantitative, using multiple linear regression equations as data analysis technique. To carry out the analysis, this study made use of secondary data from Hofstede’s national culture database, data on innovation indicators from the Global Innovation Index and population data from the World Bank database. The analysis comprises data from 2015 to 2018. ,National culture affects innovation rates positively. The most favorable situation to boost innovation is when there is a low distance from power, high individualism, femininity characteristics, low aversion to uncertainty, long-term orientation and a higher level of indulgence. ,The temporal analysis comprises a wider list of countries from all continents, which had not been considered in previous studies.
Consumer’s attitude and manipulation of raw milk from milk vending machines

Despite the high nutrition level of raw milk, consumption of it poses a health risk for consumers, especially high-risk populations. The aim of this survey was to determine consumer’s attitude towards raw milk from milk vending machines (n = 305) and to investigate their habits in manipulation of raw milk from the time of purchase until consumption (n = 74). Survey results show that the majority of consumers purchases milk once a week, using their own glass bottle and consume the milk in approximately two days. In most cases, consumers transport milk to their homes in less than 15 minutes without the use of a cooler bag. The manner of bottle cleaning technique depends on bottle material. Almost half of the consumers boil milk before consumption, which is associated with their attitude towards the safety of raw milk consumption. Most of them are satisfied with the level of hygiene on milk vending machines. The majority of consumers is unfamiliar with health risks of raw milk consumption and correct usage.
EXAMINING THE RELATIONSHIP BETWEEN DECISION-MAKING STYLES AND JOB SEARCH BEHAVIORS: A TEST OF THE INDIVIDUAL DIFFERENCES HYPOTHESIS by

Most organizations have a process in place for recruiting new employees. These processes vary depending on the size of the organization and the vacancies that need to be filled. There is great value in the optimization of this process to reap the best potential employees from an applicant pool. Research conducted into hiring sources has consistently shown differences between these sources in measures of ultimate employee performance. This has resulted in several hypotheses that seek to explain these consistently observed differences, of which three will be focused on. Realism hypothesis, PO/PJ fit hypothesis, and literature associated with them are reviewed, while individual-differences hypothesis is tested using factor analysis. The results are consistent with previous findings regarding differences between hiring sources. Some of the expected correlations were found while others were not. The practical implications of the data are explored. Limitations of the study and potential direction for further research is considered.
The Impact of Degradation Reactions on Aprotic Metal-O2 Battery Performance

iii Acknowledgements . viii List of Figures . xv List of Tables . xxxi Abbreviations . xxxiii 1.0 Introduction . 1 1.1 – Battery (Electrochemical Energy Storage) Terminology . 1 1.2 – Li-O2 Batteries. 4 1.2.1 – Chemistry of the Li-O2 Battery . 7 1.2.2 – Positive Electrodes for the Li-O2 Battery . 13 1.2.3 – Electrolytes for the Li-O2 Battery . 19 1.3 – Na-O2 Batteries . 26 1.4 – Thesis Overview . 31 2.0 Preparation and Characterization Techniques . 35 2.1 – Electrolyte Purification and Distillation . 35 2.2 Electrochemical Studies . 37 2.3 X-Ray Diffraction . 39
Spatial Language Use Predicts Spatial Memory of Children: Evidence from Sign, Speech, and Speech-plus-gesture

There is a strong relation between children’s exposure to spatial terms and their later memory accuracy. In the current study, we tested whether the production of spatial terms by children themselves predicts memory accuracy and whether and how language modality of these encodings modulates memory accuracy differently. Hearing child speakers of Turkish and deaf child signers of Turkish Sign Language described pictures of objects in various spatial relations to each other and later tested for their memory accuracy of these pictures in a surprise memory task. We found that having described the spatial relation between the objects predicted better memory accuracy. However, the modality of these descriptions in sign, speech, or speech-plus-gesture did not reveal differences in memory accuracy. We discuss the implications of these findings for the relation between spatial language, memory, and the modality of encoding.
Combined Exposure to Metals in Drinking Water Alters the Dopamine System in Mouse Striatum

Environmental exposure to arsenic (As), lead (Pb), and cadmium (Cd) frequently occurs; however, data on the specific effects of combined exposure on neurotransmission, specifically dopaminergic neurotransmission, are lacking. In this study, motor coordination and dopamine content, along with the expression of tyrosine hydroxylase (TH), dopamine transporter (DAT), vesicular monoamine transporter 2 (VMAT2), and dopamine receptors (DRs), were examined in the striatum of adult male mice following exposure to drinking water containing As, Pb, and/or Cd. We found that exposure to a metal mixture impaired motor coordination. After 4 weeks of treatment, a significant decrease in dopamine content and expression of TH, DAT, and VMAT2 was observed in the striatum of metal-mixture-treated mice, compared to the controls or single-metal-exposed groups. However, DRD1 and DRD2 expression did not significantly change with metal treatment. These results suggest that altered dopaminergic neurotransmission by the collective action of metals may contribute to metal-mixture-induced neurobehavioral disorders.
GuruSKool: An RFID based Smart School Ontological Model with SWRL reasoning

: In the present society, safety mechanisms are quite crucial for school going students. There are various technologies available towards providing the solution to this problem of student’s safety in schools. RFID (Radio Frequency Identification) is a significant technology, which has drawn the attention of various researchers towards delivering the services of student’s safety. There is a need of developing the better models or mechanisms to be proposed for providing the solutions in this direction. In this paper, first concerned technologies along with their concepts have been explored and discussed which includes Pervasive computing, RFID, SWRL, Ontology, Context awareness etc. Second, a related literature survey has been provided. Third, an RFID enabled Smart School OWL Ontological Model (GuruSKool) using SWRL for student's safety has been proposed. Fourth, SWRL scenario based implementation for smart schools has been provided. Fifth, some useful inferences and limitations are provided along with future work and conclusions.