Miracle-dz/UniFAR-FTUs huggingface dataset:
Commodity risk assessment of Malus domestica plants from Ukraine

Abstract The European Commission requested the EFSA Panel on Plant Health to prepare and deliver risk assessments for commodities listed in Commission Implementing Regulation (EU) 2018/2019 as ‘High risk plants, plant products and other objects’). This Scientific Opinion covers plant health risks posed by 1‐ to 3‐year‐old dormant grafted plants and rootstocks of Malus domestica imported from Ukraine, taking into account the available scientific information, including the technical information provided by Ukraine. All pests associated with the commodity were evaluated against specific criteria for their relevance for this opinion. Two quarantine pests (Lopholeucaspis japonica and Tobacco ringspot virus), one protected zone quarantine pest (Erwinia amylovora) and one non‐regulated pest (Eotetranychus prunicola) that fulfilled all relevant criteria were selected for further evaluation. For Erwinia amylovora, for which special requirements are specified in Commission Implementing Regulation (EU) 2019/2072, Annex X, item 9, the fulfilment of these requirements was evaluated. Based on the information provided in the dossier, the specific requirements for Erwinia amylovora were not met. For the three remaining selected pests, the risk mitigation measures proposed in the technical dossier from Ukraine were evaluated taking into account the possible limiting factors. For the selected pests, an expert judgement is given on the likelihood of pest freedom taking into consideration the risk mitigation measures acting on the pest, including uncertainties associated with the assessment. The degree of pest freedom varies among the pests evaluated, with Eotetranychus prunicola being the pest most frequently expected on the imported plants. The Expert Knowledge Elicitation indicated with 95% certainty that between 9,912 and 10,000 bundles (consisting of 50 plants each) per 10,000 would be free from Eotetranychus prunicola.
Genetics and epidemiology of glaucoma and myopia

Purpose: We investigated glaucoma’s relationship with autonomic dysfunction (heart rate variability [HRV]) and blood pressure (BP) related measures. Method: Glaucoma was defined using a questionnaire-based algorithm in 86,841 Lifelines participants. Baseline HRV (root mean square of successive differences [RMSSD]) was calculated from resting electrocardiograms; systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) were oscillometric-based measurements. We used a generalized linear mixed model, adjusted for age, age 2 , sex, body mass index, and familial relationships to assess the relationship of baseline HRV and BP (continuous and quartiles), hypertension and antihypertensive medication with glaucoma at follow up (median 3.8 years). Result: The OR (95% confidence interval) of glaucoma was 0.95 (0.92-0.99) per unit increase in log-transformed RMSSD (in ms), indicating that autonomous dysfunction (low HRV) is associated with a higher risk of glaucoma. Per 10 mmHg increase in BP, we found ORs of 1.03 (1.01-1.05, p=0.015) for SBP, 1.01 (0.97-1.05, p=0.55) for DBP, 1.03 (1.00-1.06, p=0.083) for MAP, and 1.04 (1.01-1.07, p=0.006) for PP. The OR for the lowest vs. highest RMSSD quartile was 1.15 (1.05-1.27, p=0.003). The ORs for the highest vs. second quartile were 1.09 (0.99-1.19, p=0.091) for SBP and 1.13 (1.02-1.24, p=0.015) for PP. Glaucoma was more common among hypertensives (1.25 [1.16-1.35], p < 0.001), those using ACE inhibitors (1.35 [1.18-1.55], p < 0.001), or calcium-channel blockers (1.19 [1.01-1.40], p=0.039). Conclusion: Low HRV, high SBP, high PP, and hypertension were associated with glaucoma. Longitudinal studies may elucidate if autonomic dysregulation and high BP also predict glaucoma incidence.
4.6.1 A historical perspective of MBSE with a view to the future

Model‐based engineering has been a topic of discussion for over twenty years; Model‐based systems engineering (MBSE) has been an INCOSE initiative since 2006. For the third international conference on MBSE held September 2010, the author researched the background of MBSE from a historical perspective to identify the emergent timeline and to recognize the work that has lead to the current situation. This perspective can be used to understand the barriers to adoption, the research that remains, and to establish a reasonable expectation of the path ahead for realizing the full potential of MBSE.
Music Recommendation to Groups

First we present Unison, a conceptual music recommender system for groups of people; the system aims at generating a playlist that takes musical tastes of all the group members into account. We discuss both theoretical and practical concerns related to such a system. We develop a model of user preferences and discuss how we can shift from individual recommendations to group consensus. In constructing the user preferences model we use an intermediary music track model that combines user-generated tags with a dimensionality reduction technique to build a compact spatial embedding of tracks. Secondly we introduce GroupStreamer, a practical implementation of the system that runs on Android devices. We present the technological choices that were made along the way.
Diterpenes/Diterpenoids and Their Derivatives as Potential Bioactive Leads against Dengue Virus: A Computational and Network Pharmacology Study

Dengue fever is a dangerous infectious endemic disease that affects over 100 nations worldwide, from Africa to the Western Pacific, and is caused by the dengue virus, which is transmitted to humans by an insect bite of Aedes aegypti. Millions of citizens have died as a result of dengue fever and dengue hemorrhagic fever across the globe. Envelope (E), serine protease (NS3), RNA-directed RNA polymerase (NS5), and non-structural protein 1 (NS1) are mostly required for cell proliferation and survival. Some of the diterpenoids and their derivatives produced by nature possess anti-dengue viral properties. The goal of the computational study was to scrutinize the effectiveness of diterpenoids and their derivatives against dengue viral proteins through in silico study. Methods: molecular docking was performed to analyze the binding affinity of compounds against four viral proteins: the envelope (E) protein, the NS1 protein, the NS3 protein, and the NS5 protein. Results: among the selected drug candidates, triptolide, stevioside, alepterolic acid, sphaeropsidin A, methyl dodovisate A, andrographolide, caesalacetal, and pyrimethamine have demonstrated moderate to good binding affinities (−8.0 to −9.4 kcal/mol) toward the selected proteins: E protein, NS3, NS5, and NS1 whereas pyrimethamine exerts −7.5, −6.3, −7.8, and −6.6 kcal/mol with viral proteins, respectively. Interestingly, the binding affinities of these lead compounds were better than those of an FDA-approved anti-viral medication (pyrimethamine), which is underused in dengue fever. Conclusion: we can conclude that diterpenoids can be considered as a possible anti-dengue medication option. However, in vivo investigation is recommended to back up the conclusions of this study.
Étude de l'évolution moléculaire du genre Picea A. Dietrich (Pinaceae) : phylogénies de gènes et phylogénies d'espèces

Complex morphological classifications for the genus Picea, a circumpolar conifer genus, and the lack of coherence among them indicated the need to estimate a molecular phylogeny representative of the biogeographical history of the whole genus. Preliminary tests for three nuclear loci revealed the presence of intraspecific as well as trans-specific shared polymorphisms among three distantly related species in the genus. The divergence time between species was estimated at 13 to 20 million years (my), and allele coalescence times in the order of 10 to 18 my, which implies the sharing of polymorphisms since common ancestry. Large historical population sizes in excess of 100 000 would have delayed the fixation of polymorphisms. These results suggest that transspecies shared polymorphisms might be frequent at plant nuclear gene loci, contributing significantly to allelic diversity. This trend is more likely in plants characterized by ecological and life-history determinants favoring large population sizes, such as an outcrossing mating system, wind pollination, and a dominant position in ecosystems. These polymorphisms also call for caution in estimating congeneric species phylogénies from nuclear gene sequences in such plant groups. Subsequent efforts in estimating the biogeographical history of the genus Picea were directed at organelle DNA regions, which are more conserved than nuclear DNA at the sequence level. Distinct phylogénies of Picea were obtained by sequencing three regions from the paternally inherited chloroplast genome (trnK, rbcL, and trriTLF), and the intron 2 of the maternally transmitted mitochondrial gene nadl. Significant differences were found between chloroplaslic partitions, and between the cpDNA and mtDNA phylogénies. None of the phylogénies matched current classifications. The mtDNA phylogeny was geographically more structured than the cpDNA phylogénies. Most North American taxa formed a monophyletic group on the mtDNA tree with coherent geographical clustering, indicating geographic speciation by range fragmentation or by dispersal and isolation. Similar patterns, also found among Asian taxa, likely represent a major trend in the
The Nexus between Corporate Relations and Employee Relations: A Conceptual Review

: The purpose of this analytical review is to discover that the field of public relations is much more sophisticated now than it used to be due to both internal and external changes. Anchored on the Relational Dialectics Theory and RACE Model of Public Relations, this study reviewed the concepts of corporate relations and employee relations as well as the relationship which exists between them. The study adopts descriptive research design. The review shows that no organization exists in isolation; there is need to relate with the various publics particularly the employees and that corporate communication is a vital tool for creating and sustaining corporate and employee relations. The review further indicates that the connection between corporate relations and employee relations is both complex and essential. The review validates the view that there can be no lasting good corporate image or corporate communication and relationships with external publics without a cordial and mutually beneficial relationship with the employees (internal publics). The review clearly shows that happy employees are productive employees and that successful businesses or organizations are the ones which know how to manage relationships with their employees in order to build lasting employee satisfaction, productivity and a vibrant corporate reputation.
Eğitimde Oyunlaştırma: Araştırma Eğilimleri

Egitim baglaminda oyunlastirma sureci, sadece bilgi ya da beceri ogretimine oyun eklemek degil, oyun karakteristikleri ile butunlestirerek, ogrencilerin mevcut ogrenme alaninda ogrenmesini kolaylastirma potansiyelinden yararlanmaktir. Oyunlastirma; oyunolmayan sistemlerde, kullanici deneyimini artirmak ya da kullanicinin ortama baglanmasini saglamak amaciyla video oyun bilesenlerinin kullanilmasidir. Bu calismada, yil sinirlamasi olmadan ―gamification (oyunlastirma)‖ ve ―learning (ogrenme)‖ anahtar kelimeleri kullanilarak, metnin tamaminda Turkce ve Ingilizce calismalar taranmistir. Eriselen 206 calismadan arastirma amacina uygun 62 tanesi sistematik olarak incelenmistir. %35,48’lik bir oranla en cok yayinin 2014 yilinda yapildigi gorulmektedir. Incelenen arastirmalarin cogunun 50’den az (n=15; %31,91) gruplarda; lisans ogrencileri ile (n=38; %64,41) calismayi tercih ettikleri ve ogrenme alani olarak ise BIT’inde (bilgi ve iletisim teknolojileri) (n=19; %33,93) yogunlasildigi gorulmektedir. Calismalarda en cok oyunlastirilmis bir ogrenme ortaminin (n=19; %59,38) akademik basari/performansa (n=18; %31,58) etkisi incelenmistir. En cok kullanilan oyun bileseni rozet (n=25;%19,38) ve puanlar (n=19; 14,73) oldugu en cok motivasyon kuramlarina (n=8; %18,61) odaklanildigi gorulmektedir
Multi-regional characterisation of renal cell carcinoma and microenvironment at single cell resolution

Tumour behaviour is dependent on the oncogenic properties of cancer cells and their multicellular interactions. These dependencies were examined through 270,000 single cell transcriptomes and 100 micro-dissected whole exomes obtained from 12 patients with kidney tumours. Tissue was sampled from multiple regions of tumour core, tumour-normal interface, normal surrounding tissues, and peripheral blood. We found the principal spatial location of CD8+ T cell clonotypes largely defined exhaustion state, with clonotypic heterogeneity not explained by somatic intra-tumoural heterogeneity. De novo mutation calling from single cell RNA sequencing data allows us to lineagetrace and infer clonality of cells. We discovered six meta-programmes that distinguish tumour cell function. An epithelial-mesenchymal transition meta-programme, enriched at the tumour-normal interface appears modulated through macrophage expressed IL1B, potentially forming a therapeutic target. Single sentence summary Kidney cancer evolution, prognosis and therapy are revealed by a single cell multi-regional study of the microenvironment.
Female mascarons in the architecture of the Lviv secession

An important role in the formation of the architectural style of Lviv was played by the beginning of the twentieth century. As the capital of Galicia, which at that time belonged politically to the Austrian Empire, Lviv was strongly influenced by the Austrian Secession and the head of the Vienna School of Architecture O. Wagner. Nevertheless, the Lviv architecture, to a certain extent, has preserved its originality and uniqueness. Secession is a phenomenon of the Lviv architecture of the early twentieth century. It determines the definition of sculptural decor as one of the main components of the “newest” artistic image of a building. Among the various types of plastic decoration, an important place is occupied by relief masks – mascarons, which are the most mysterious, attractive and bizarre elements of the architecture of the Lviv Secession. The article notes the influence of various factors on the formation of new typological groups of mascarons not found in the architecture of previous eras. The artistic images of secession arise at the intersection of two key symbols and constant themes of art nouveau – eternal femininity and fabulous nature.
Connected Objects Geo-Localization Based on SS-RSRP of 5G Networks

The Global Positioning System (GPS) is not the only way to solve connected objects’ geo-localization problems; it is also possible to use the mobile network infrastructure to geo-locate objects connected to the network, using antennas and signals designed for voice and data transfer, such as the 5th generation network. 5G is considered as a least expensive solution because there is no specific equipment to set up. As long as the object is in an area covered by the network, it connects to the nearest 5G Micro-Cell (MC). Through exchange of signals with the MC node we can locate the object. Currently, this location is very fast with less than 5 s but not very precise because it depends on the number of MC antennas of the operator in question and their distance. This paper presents a novel technique to geo-locate connected object in a covered 5G area. We exploit the 5G SS-RSRP used for signal quality measurement, to estimate the distance between two Connected Objects (COs) in move and in a dense urban area. The overall goal is to present a new concept laying on the 5G SS-RSRP signalling. The proposed solution takes into consideration the Deterministic and the Stochastic effect of the received signals which is not treated by the previous works. The accuracy is optimum even after approaching to the distance of one meter which is not reached in previous works too. Our method can also be deployed in the upcoming 5G network since it relies on 5G signals itself. This work and that of Wang are both based on RSRP and give comparable theoretical complexities therefore comparable theoretical execution times as well. However, to obtain a reliable learning Wang requires a huge amount of data which makes it difficult to get a real time aspect of this algorithm. The use of RSRP and the elimination of the learning phase will give more chance to our work to achieve desired performances. Numerical results show the appropriateness of the proposed algorithms and good location accuracy of around one meter. The Cramer Rao Lower Bound derivations shows the robustness of the proposed estimator and consolidate the work.
Conceptualizing Team Working Memory: Implications for Human-Automation Collaboration

Interactions between humans and machines are becoming increasingly more complex and intelligent. Building accurate models of human and automation collaboration will require identification and appropriate measurement of constructs. In this paper, we review several studies on working memory and automation. We then propose that the construct of Team working memory must be validated against established benchmarks and distinguished from individual WM. A separate construct for Team working memory might have implications for automation.
Cavity Detachment from a Wedge with Rounded Edges and the Surface Tension Effect

Cavity flow around a wedge with rounded edges was studied, taking into account the surface tension effect and the Brillouin–Villat criterion of cavity detachment. The liquid compressibility and viscosity were ignored. An analytical solution was obtained in parametric form by applying the integral hodograph method. This method gives the possibility of deriving analytical expressions for complex velocity and for potential, both defined in a parameter plane. An expression for the curvature of the cavity boundary was obtained analytically. By using the dynamic boundary condition on the cavity boundary, an integral equation in the velocity modulus was derived. The particular case of zero surface tension is a special case of the solution. The surface tension effect was computed over a wide range of the Weber number for various degrees of cavitation development. Numerical results are presented for the flow configuration, the drag force coefficient, and the position of cavity detachment. It was found that for each radius of the edges, there exists a critical Weber number, below which the iterative solution process fails to converge, so a steady flow solution cannot be computed. This critical Weber number increases as the radius of the edge decreases. As the edge radius tends to zero, the critical Weber number tends to infinity, or a steady cavity flow cannot be computed at any finite Weber number in the case of sharp wedge edges. This shows some limitations of the model based on the Brillouin–Villat criterion of cavity detachment.
NASA Common Research Model Test Envelope Extension With Active Sting Damping at NTF

The NASA Common Research Model (CRM) high Reynolds number transonic wind tunnel testing program was established to generate an experimental database for applied Computational Fluid Dynamics (CFD) validation studies. During transonic wind tunnel tests, the CRM encounters large sting vibrations when the angle of attack approaches the second pitching moment break, which can sometimes become divergent. CRM transonic test data analysis suggests that sting divergent oscillations are related to negative net sting damping episodes associated with flow separation instability. The National Transonic Facility (NTF) has been addressing remedies to extend polar testing up to and beyond the second pitching moment break point of the test articles using an active piezoceramic damper system for both ambient and cryogenic temperatures. This paper reviews CRM test results to gain understanding of sting dynamics with a simple model describing the mechanics of a sting-model system and presents the performance of the damper under cryogenic conditions.
Inverter Volt-Ampere Capacity Reduction by Optimization of the Traction Synchronous Homopolar Motor

The synchronous homopolar motor (SHM) with an excitation winding on the stator and a toothed rotor is a good alternative to traction induction motors for hybrid mining trucks. The main problem in the design of the SHM electric drives is that the magnetic flux forms three-dimensional loops and, as a result, the lack of high-quality optimization methods, which leads to the need to overrate the installed power of the inverter. This article discusses the procedure and results of optimization of a commercially available 370 kW traction SHM using the Nelder–Mead method. The objective function is composed to mainly improve the following characteristics of the traction SHM: total motor power loss and maximum armature winding current. In addition, terms are introduced into the objective function to make it possible to limit the voltage, the loss in the excitation winding, and the maximum magnetic flux density in the non-laminated sections of the magnetic core. As a result of the optimization, the motor losses and the maximum current required by the motor from the inverter were significantly reduced. The achieved reduction in the maximum current allows the cost of the IGBT modules of the inverter to be reduced by 1.4 times (by $ 2295), and also allows the AC component of the DC-link current to be reduced by the same amount.
Improving Neural Networks for Genotype-Phenotype Prediction Using Published Summary Statistics

Phenotype prediction is a necessity in numerous applications in genetics. However, when the size of the individual-level data of the cohort of interest is small, statistical learning algorithms, from linear regression to neural networks, usually fail due to insufficient data. Fortunately, summary statistics from genome-wide association studies (GWAS) on other large cohorts are often publicly available. In this work, we propose a new regularization method, namely, main effect prior (MEP), for making use of GWAS summary statistics from external datasets. The main effect prior is generally applicable for machine learning algorithms, such as neural networks and linear regression. With simulation and real-world experiments, we show empirically that MEP improves the prediction performance on both homogeneous and heterogeneous datasets. Moreover, deep neural networks with MEP outperform standard baselines even when the training set is small.
Decoupling Analysis of Greenhouse Gas Emissions from Economic Growth: A Case Study of Tunisia

The study examined the impact of different factors on greenhouse gas (GHG) emissions, by applying the extended STIRPAT model and decoupling analysis for Tunisia for the period 1990–2018. Furthermore, the study utilizes Tapio decoupling model, and the Auto-Regressive Distributed Lag (ARDL) bounds test approach to examine the relationship between the variables of greenhouse gas (GHG) emissions, economic growth, energy consumption, urbanization, innovation, and trade openness. The findings validated an inverted U-shape relationship between GDP and GHG emissions. In addition, we find that the consumption of renewable energy contributes to the reduction of GHG emissions in the long run. The findings call authority for the adaption of the regulatory framework relating to energy management, energy efficiency and the development of renewable energies, as well as to initiate energy market reforms, implement mitigation strategies and encourage investments in clean energies.