Miracle-dz/UniFAR-FTUs huggingface dataset:
Fusarium oxysporum Race 1 resistance and quality traits variations in apple banana germplasm

Musa species, AAB genome group, commonly known as Sukali Ndizi (SND) in Uganda, has attained a substantial commercial value in the recent past owing to its superior fruit quality attributes and better prices. However, its sustainable production and productivity are highly threatened by Fusarium wilt. To facilitate large scale area expansion of this important dessert banana, the present study was carried out to identify the near-ideotypic lines of best quality fruit traits that are also resistant to Fusarium wilt. Nineteen SND ecotypes were subsequently collected from nine key SND growing districts of Uganda and evaluated in the field and laboratory for different fruit quality attributes and response to Fusarium wilt. Results showed a wide diversity among SND ecotypes for fruit-quality traits (fruit pulp texture, flavor and taste). The ecotypes were, however, not significantly different (p > 0.05) for susceptibility to FOC race 1. Cluster analysis based on organoleptic and physio-chemical properties grouped the 19 ecotypes into two major-clusters, each of which was also split into two sub-clusters. Individual sub-clusters summarize levels of similarity amongst the different ecotypes. The study confirmed the presence of diversity in SND germplasm that could be exploited for SND genetic improvement of the crop through hybridization and selection. Key words: Sukali Ndizi, fruit-quality traits, Fusarium wilt, ecotypes, desert banana, diversity.
ACYOTB Plugin: Tool for Accurate Orthorectification in Open-Source Environments

High-resolution satellite images must undergo a geometric rectification process in order to be used for metrical purposes. This operation, called orthorectification, is necessary because of deformations mainly due to camera distortions and acquisition geometry. To correctly orthorectify an image, it is necessary to accurately reconstruct the photogrammetric-acquisition characteristics and the image position with respect to a reference system connected to the ground. This operation, called orientation, can be done using various mathematical models such as rigorous, rational polynomial function (RPF), and rational polynomial coefficient, or, according to some authors, rapid positioning coefficient (RPC) models. Orientation and orthorectification are usually performed within specific commercial software, but in QGIS, these complex operations can be performed using the open libraries of the Orfeo Tool Box (OTB). Unfortunately, instructions given by OTB developers lead to scarce results. In fact, the procedure proposed in OTB does not allow for the full exploitation of the potential of RPC models, on which OTB itself is based. As OTB is open-source software, a plugin was developed to overcome these limitations and exploit its full potential. In fact, OTB interfaces are unfortunately essential, and some necessary functions are missing. Therefore, a new QGIS plugin was developed in order to run the entire process in the most photogrammetrically and statistically correct way, and, at the same time, to simplify the relative procedures.
Intelligent Course Plan Recommendation for Higher Education: A Framework of Decision Tree

The framework of outcomes-based education(OBE) has become a central issue for global university education, which is benefited to drive the education development by a series of assessments for historical teaching data, especially student course score, and employment information. The issue of how to timely update the talent training plans for computer major in a university has received considerable critical attention. It is becoming extremely difficult to ignore the requirement of fast shortened update cycle in IT area. One of the main obstacles is that the teaching inertia and the fixed awareness of a major training plan may delay the feedback of teaching problems. There is still a contradiction between the plan rationality and the real-time needs of contemporary IT enterprises. Hence, this paper puts forward a novel data-based framework to evaluate the relevance between the major courses, employment rate, and enterprise needs through the decision tree expression, thus providing reliable data support for systematic curriculum reform. On top of that, A recommendation algorithm is proposed to automatically generate the computer course group that satisfies the staff requirements of IT enterprises. Finally, teaching and employment data of Xihua University in China is applied as an example to undertake course optimization and recommendation. The consequences have an obvious positive effect on student employment and enterprise feedback.
Why Has Inflation Been So Unresponsive to Economic Conditions in Recent Years?

Standard models relating price inflation to measures of slack in the economy suggest that the United States should have experienced an episode of deflation during the Great Recession and the subsequent sluggish recovery. But although inflation reached very low levels, prices continued to rise rather than fall. More recently, these standard models suggest inflation should have increased as the unemployment rate declined and labor markets tightened, but inflation has remained well below the Federal Reserve’s policy target. Modern Phillips curve models, which incorporate expectations about future inflation, have in the past performed reasonably well in forecasting inflation. The failure of these models during the last several years presents a troubling finding both for economists’ understanding of inflation and for policymakers’ ability to ensure steady growth and low (but positive) inflation. This paper modifies the traditional Phillips curve by considering two mechanisms through which time-variation in response of inflation to economic conditions could occur. One mechanism argues that the flexibility of prices varies with the level and variability of inflation, so a stable low-inflation environment may cause inflation to be less responsive to slack in the economy. Another mechanism emphasizes increased regional synchronization of the business cycle as a factor reducing the responsiveness of inflation to slack. The paper considers the extent to which each of these mechanisms may be important for explaining the recent behavior of inflation. JEL Classification: E30, E31
First record of Chlorophyllum molybdites (G. Mey.) Massee (Basidiomycota, Agaricaceae) from Piauí state, Brazil

Chlorophyllum molybdites (G. Mey.) Massee is a widespread poisonous mushroom, which when consumed causes severe gastrointestinal distress, including stomach irritation, vomiting and diarrhea. It is reported for the first time from Piauí state, Brazil. This species is described, illustrated and accompanied by color photographs of fresh basidiomes. Comments on the taxonomy are presented.
University of Groningen A PBMC-Based System to Assess Human T Cell Responses to Influenza Vaccine Candidates In Vitro Tapia-Calle,

Vaccine development is an expensive and time-consuming process that heavily relies on animal models. Yet, vaccine candidates that have previously succeeded in animal experiments often fail in clinical trials questioning the predictive value of animal models. Alternative assay systems that can add to the screening and evaluation of functional characteristics of vaccines in a human context before embarking on costly clinical trials are therefore urgently needed. In this study, we have established an in vitro system consisting of long-term cultures of unfractionated peripheral blood mononuclear cells (PBMCs) from healthy volunteers to assess (recall) T cell responses to vaccine candidates. We observed that different types of influenza vaccines (whole inactivated virus (WIV), split, and peptide vaccines) were all able to stimulate CD4 and CD8 T cell responses but to different extents in line with their reported in vivo properties. In-depth analyses of different T cell subsets revealed that the tested vaccines evoked mainly recall responses as indicated by the fact that the vast majority of the responding T cells had a memory phenotype. Furthermore, we observed vaccine-induced activation of T follicular helper cells, which are associated with the induction of humoral immune responses. Our results demonstrate the suitability of the established PBMC-based system for the in vitro evaluation of memory T cell responses to vaccines and the comparison of vaccine candidates in a human immune cell context. As such, it can help to bridge the gap between animal experiments and clinical trials and assist in the selection of promising vaccine candidates, at least for recall antigens.
Blockchain Technology, Technical Challenges and Countermeasures for Illegal Data Insertion

Blockchain is a decentralized transaction and data management technology. It was developed for the world’s first cryptocurrency known as Bitcoin in 2008. The reason behind its popularity was its properties which provide pseudonymity, security, and data integrity without third-party intervention. Initially, most of the researches were focused on the Bitcoin system and its limitation, but later other applications of Blockchain e.g. smart contracts and licensing [1] also got famous. Blockchain technology has the potential to change the way how transactions are conducted in daily life. It is not limited to cryptocurrencies but could be possibly applied in various environments where any forms of transactions are done. This article presents a comprehensive overview of Blockchain technology, its development, applications, security issues, and their countermeasures. In particular, the security towards illegal data insertion and the countermeasures is focused. Our analysis of countermeasures of illegal data insertion can be combined for increased efficiency. After the introduction of the Blockchain and consensus algorithm, some famous Blockchain applications and expected future of Blockchain are deliberated. Then, the technical challenges of Blockchain are discussed, in which the main focus here is on the security and the data insertion in Blockchain. The review of the possible countermeasures to overcome the security issues related to data insertion are elaborated.
Reinforced Negative Sampling over Knowledge Graph for Recommendation

Properly handling missing data is a fundamental challenge in recommendation. Most present works perform negative sampling from unobserved data to supply the training of recommender models with negative signals. Nevertheless, existing negative sampling strategies, either static or adaptive ones, are insufficient to yield high-quality negative samples — both informative to model training and reflective of user real needs. In this work, we hypothesize that item knowledge graph (KG), which provides rich relations among items and KG entities, could be useful to infer informative and factual negative samples. Towards this end, we develop a new negative sampling model, Knowledge Graph Policy Network (KGPolicy), which works as a reinforcement learning agent to explore high-quality negatives. Specifically, by conducting our designed exploration operations, it navigates from the target positive interaction, adaptively receives knowledge-aware negative signals, and ultimately yields a potential negative item to train the recommender. We tested on a matrix factorization (MF) model equipped with KGPolicy, and it achieves significant improvements over both state-of-the-art sampling methods like DNS [39] and IRGAN [30], and KG-enhanced recommender models like KGAT [32]. Further analyses from different angles provide insights of knowledge-aware sampling. We release the codes and datasets at https://github.com/xiangwang1223/kgpolicy.
Preconditioning with PDE1 Inhibitors and Moderate-Intensity Training Positively Affect Systemic Redox State of Rats

Taken into consideration that oxidative stress response after preconditioning with phosphodiesterase inhibitors (PDEIs) and moderate physical activity has still not been clarified, the aim of this study was to assess the effects of PDEIs alone or in combination with physical activity, on systemic redox status. The study was carried out on 96 male Wistar albino rats classified into two groups. The first group included animals exposed only to pharmacological preconditioning (PreC) maneuver (sedentary control (CTRL, 1 ml/day saline, n = 12), nicardipine (6 mg/kg/day of NIC, n = 12), vinpocetine (10 mg/kg/day of VIN, n = 12), and nimodipine (NIM 10 mg/kg/day of, n = 12). The second included animals exposed to preconditioning with moderate-intensity training (MIT) on treadmill for 8 weeks. After 5 weeks from the start of training, the animals were divided into four subgroups depending on the medication to be used for pharmacological PreC: moderate-intensity training (MIT+ 1 ml/day saline, n = 12), nicardipine (MIT+ 6 mg/kg/day of NIC, n = 12), vinpocetine (MIT+ 10 mg/kg/day of VIN, n = 12), and nimodipine (MIT+ 10 mg/kg/day of NIM, n = 12). After three weeks of pharmacological preconditioning, the animals were sacrificed. The following oxidative stress parameters were measured spectrophotometrically: nitrites (NO2−), superoxide anion radical (O2−), hydrogen peroxide (H2O2), index of lipid peroxidation (TBARS), superoxide dismutase (SOD), catalase (CAT), and reduced glutathione (GSH). Our results showed that PDE1 and MIT preconditioning decreased the release of prooxidants and improved the activity of antioxidant enzymes thus preventing systemic oxidative stress.
Polarized Light Orientation in Ball-Rolling

Many dung beetles, unlike most insect navigators, do not need to locate a stationary nest at the end of their foraging journey. This makes the nature of their orientation task fundamentally different, and in the case of straight-line orientation, the beetles appear to rely single-handedly on celestial compass cues to move along straight paths. With a focus on the sky, diurnal dung beetles rely on the sun and the skylight cues that span the entire sky. These cues include the linear polarization pattern of skylight. As day turns to night, crepuscular and nocturnal dung beetles start to fly at around sunset. At this time, the full sky is polarized in one single direction, and the ball-rolling beetles can be observed to turn sharply when rolling under a linear polarizer placed with its E-vector oriented 90 to that of skylight. When the moon has risen, the beetles continue to orient along straight paths well after sunset, guided by the celestial polarization pattern created by the scattered moonlight. The intensity of this relatively dim polarization pattern will gradually decline as the moon wanes. Remarkably, even the extremely dim celestial polarization pattern formed around a crescent moon is sufficient to guide the nocturnal beetles along straight paths. Moreover, straight-line orientation on these dark nights is performed with the same precision and speed as in dung beetles orienting under the much brighter polarization pattern of the sun or full moon. So strong is their desire to roll their balls of dung that nocturnal beetles can be made to roll at day and diurnal beetles can be compelled to roll in the middle of the night. This incredible flexibility opens up the possibility to perform a new set of experiments directed towards an understanding of how celestial compasses have been adapted to the visual environment in which the insect is normally active. M. Dacke (*) Department of Biology, Lund Vision Group, Lund University, 221 00 Lund, Sweden e-mail: marie.dacke@biol.lu. se G. Horváth (ed.), Polarized Light and Polarization Vision in Animal Sciences, Springer Series in Vision Research 2, DOI 10.1007/978-3-642-54718-8_2, © Springer-Verlag Berlin Heidelberg 2014 27
CaractÃ©ristiques de lâ€TMexcavation papillaire dans une population jeune de 20Â Ã 40Â ans du Nord Togo

MOTS CLÉS Disc optique ; Épidémiologie ; Glaucome à angle ouvert ; Ophtalmoscopie Résumé But. — Décrire les caractéristiques de l’excavation papillaire dans une population jeune appartenant à un groupe ethnique homogène situé au Nord du Togo. Patients et méthodes. — Nous avons mené une étude desciptive dans les agglomérations rurales du district de Doufelgou au Nord du Togo où la population est homogène et formée d’un même groupe ethnique. L’examen ophtalmologique comportait la mesure de l’acuité visuelle, l’examen du segment antérieur et du fond d’œil après dilatation pupillaire. Résultats. — Au total, 1010 personnes dont 550 hommes et 460 femmes, correspondant à 2020 yeux ont été examinées ; le sex-ratio est de 1,2. L’âge moyen était de 30,4 ans. Le cup/disc une moyenne de 0,36 ± 0,10. Le cup/disc 0,3 était le plus repréa varié entre 0,3 et 0,9 avec senté aux deux yeux et prédominait dans la tranche d’âge de 20—24 ans soit 56,6 % (572) à droite et 58,7 % (593) à gauche. Le cup/disc était supérieur ou égal à 0,5 dans 14,4 % à droite et
İş Akış Motoru Tasarımı ve Gerçekleştirilmesi

Bu calisma ozellikle buyuk olcekli isletmelerin sureclerinde kullandiklari bir yapi olan is akisi motorunun dinamik isleyecek sekilde bir tasarimini ve gerceklestirilmesini kapsamaktadir. Uzerinde calistigimiz temel konu, gelistirdigimiz sistemin farkli isletmelere ve isletmeler icerisindeki farkli sureclere uyum saglayabilecek esneklikte olmasidir. Endusriyel alanlarda is sureci bir cok etmene gore zamanla degismektedir. Bu amacla calisma kapsaminda is akis motoruyla butunlesik calisabilen bir kural motoru gelistirilmistir. Kural motoru, is akis motorunun degisen is sureclerine calisma zamanli olarak uyum saglamasini amaclamaktadir. Tasarlanan bu sistem, bir teknoloji urunleri firmasinda, urunlere bagli belgelerin takip sureclerini otomatize etmek uzere uygulanmistir. Uygulama sonucunda toplanan bilgiler, sirali oruntu madenciligi yontemleri kullanilarak analiz edilmistir.
Comparison and Application of Non-Destructive NIR Evaluations of Seed Protein and Oil Content in Soybean Breeding

A plant breeding program needs to evaluate a large number of materials for different traits within a limited time. Near-infrared (NIR) spectroscopy has been used to quickly determine seed composition in various crop species. In this study, we compared whole-seed evaluations of protein and oil content by NIR methods in soybean [Glycine max (L.) Merr. ], and then discussed the application to plant breeding. The differences among the entries tested were highly significant in both traits for each method used. No significant difference but high correlation and consistency existed between DA 7250 and wet-chemistry methods. Compared with DA 7250, ZX-50 exhibited, to some extent, differences or errors. The differences of ZX-50 methods were found to be correlated with seed sizes and could be corrected using regression equations formulated for bias calculation. After correction, the differences in the predictions between DA 7250 and ZX-50 methods were insignificant. Similar to DA 7250, ZX-50 methods exhibited a high repeatability (> 98%) of the predictions. By validation with 760 bulk samples of different seed types and 240 single-plant samples, it further demonstrated that as a non-destructive, fast and cost-efficient method, ZX-50 NIR analysis with an appropriate bias correction could be used in soybean breeding, specifically suitable for single plant selection based on whole seeds.
The role of pesticides in the etiology of lymphoma: A systematic review

Amac: Tarim calisanlarinda non-Hodgkin lenfoma riskinin arttigi bilinmektedir ve bu artista pestisitlerin rolu oldugu dusunulmektedir. Bu sistematik derlemenin amaci lenfoma etiyolojisinde pestisitlerin rolunu ve etkisini degerlendirmektir. Gerec ve Yontemler: Bu sistematik derleme York Universitesi Ulusal Saglik Arastirmalari Enstitusu tarafindan gelistirilen Derleme ve Yayginlastirma Merkezi 2009 kilavuzuna uygun olarak yurutulmustur. Calismaya iliskin taramalar 2014-2019 yillarini kapsayacak sekilde Science Direct, EBSCO (CINAHL Complete), PUBMED, Wiley Interscience ve Springer Link veri tabanlarinda yapilmistir. Bulgular: Tarama sonucunda, kriterlere uyan alti calisma arastirma kapsaminda alinmistir. Sonuclar “Calismanin yili, arastirma tipi ve orneklem ozellikleri, kullanilan olcum araclari, elde edilen sonuclar ve kanit duzeyi” basliklari altinda tablo olarak sunulmustur. Sonuc: Pestisit kullaniminin non-Hodgkin lenfoma ve alt tipleri ile iliskili oldugu bulunmustur. Tarimin ana gecim kaynagi oldugu toplumlarda mesleki maruziyet degerlendirilmeli ve bu grup kisisel koruyucu ekipman kullanimi ve koruyucu davranislar konularinda saglik profesyonelleri tarafindan egitilmelidir.
In vitro evidence of the role of hemoglobin during vasospasm on the modifications of the expression of PKC α and ζ

The cellular events leading to cerebral vasospasm after subarachnoid hemorrhage (SAH) are poorly understood, although the family of protein kinase C (PKC) is already known to play crucial roles in this pathology. Hemoglobin (Hb) is one of the major causes of the cerebral vasospasm that follows SAH. In the present study we investigated whether Hb can in vitro regulate PKC expression in endothelial as opposed to smooth-muscle cells. The levels of expression of PKCα and PKCζ were quantitatively determined by means of computer-assisted fluorescence microscopy in the A7r5 smooth-muscle rat cells and human umbilical endothelial cells (HUVECs). Hb significantly modified both calciumdependent PKCα and calcium-independent PKCζ expression in HUVECs and A7r5 smooth-muscle rat cells. Our data showed that, in vitro, Hb promptly and markedly modified the levels of expression of both calcium-dependent PKCα and calcium-independent PKCζ. We are currently investigating the effects of specific PKC antagonists associated or not with calcium channel blockers on the expression of PKC and the in vivo severity of SAH-induced vasospasm. Our results encourage the prophylactic use of specific PKC isoform antagonists associated with calcium channel blockers early after SAH to prevent cerebral vasospasm.
A Comprehensive Survey on Data Preprocessing Methods in Web Usage Minning

Web usage mining is the application of data mining technique which is used to extract information about user’s interest from web server log files. Web usage mining is widely used by companies to analyze the customer’s interest and predict future of their business. It is used in various fields like E-Business, E-Commerce, Elearning, etc., Web usage mining entails of three phases :Data Preprocessing , Pattern Discovery and Pattern analysis. Data Preprocessing is one of the essential and a preliminary step in web mining to enforce quality in the input data. The raw data from web server log file is preprocessed to eliminate the noisy, vague and redundant data for efficient mining. It involves different phases namely Field Extraction and Data cleaning, User Identification, Session Identification, Path completion and Transaction Identification. In this paper, we have discussed about various researches carried out in Data Cleaning and the various attributes considered in the process of cleaning. Keywords—Web usage mining, Data Preprocessing , Session Identification, Path Completion, User Identification
Informing Action in Building Information Modeling (BIM) based Multi-Disciplinary Collaboration

The emergence of Building Information Modeling (BIM) in the Architecture, Engineering, Construction and Operations (AECO) industry marks a significant shift in how temporary project networks collaborate to deliver construction projects. While technological solutions to enable this collaborative approach abound, agency and other social aspects of collaborative BIM remain sparsely researched. This paper explores how actions are informed in the deployment of BIM based multi-disciplinary collaboration. Employing a constructivist grounded theoretical approach and based on findings from two in-depth case studies of BIM implementation and deployment, the paper presents five categories that have emerged as being determinant in informing action in BIM-based multi-disciplinary collaboration. It is suggested that seeking alignment within and between these categories will positively inform action in the BIM-based collaboration process.