Miracle-dz/UniFAR-FTUs huggingface dataset:
POTENTIAL FOR URBAN GREENING WITH GREEN ROOFS: A WAY TOWARDS SMART CITIES

Abstract. Cities are experiencing increased pressure on social, economic, and environmental sectors due to the rapid urbanisation and increasing risk owing to climate change affecting the urban environment. Solutions such as green roofs are often discussed in the context of smart and sustainable cities as they present a multi-functional and solution-oriented approach to address these challenges. Green roofs become extremely relevant in the context of highly urbanised and compact cities where impervious surfaces are abundant. Therefore, in this paper, we analyse the potential of green roofs at a city scale with the help of parameters such as area and slope of the roof and structure of the building. We also identify the priority zones based on environmental and socio-economic parameters. The study is carried out in the city of Liege, Belgium. The results suggest that around 20% (350 hectares) of the total buildings in the city have the potential for developing green roofs. Moreover, the potential of green roofs is quite significant in terms of roof area in the priority zone. Due to significant socio-economic deprivation in high priority zones, implementation of green roofs might not be affordable. Buildings with larger roof sizes are mostly owned by companies or commercial establishments, thus, making larger roofs more relevant for retrofitting green roof. Thus, our approach can act as a preliminary decision-making tool for urban planners to analyse the potential of green roofs and prioritize them in deprived areas.
UNDERSTANDING RISK DISSEMINATION: AN OVERVIEW IN SOYBEAN AND CORN MARKETS

Este artigo fornece uma visao geral da literatura de pesquisa sobre a disseminacao de riscos para os mercados de milho e de soja. A revisao sistematica abarca a pesquisa, estruturacao e sintetizacao dos estudos empiricos que utilizaram termos como contagio, transmissao e transbordamento para avaliar a propagacao de riscos entre mercados. Os topicos de destaque incluem a revisao sobre as principais oticas de analise da interacao do mercado agricola com outros mercados e os avancos teoricos na analise do risco de precos. Mudancas exogenas ao mercado agricola como a crise financeira, ascensao dos biocombustiveis e financeirizacao das commodities sao apontadas pela literatura como vetores de transmissao de risco para os mercados de milho e de soja. Dentre os resultados de pesquisa, cabe destacar a disseminacao de artigos que avaliam a tematica transbordamento, com a utilizacao predominante da abordagem GARCH multivariada, focada principalmente na interrelacao entre os mercados de alimentos e energia.
Power Enhancement Techniques of 5G

: This new era is emerging towards the fast telecommunication technologies and this paper here is also explaining the newest technologies that are 4G & 5G and their evolution from the different projects working all over the world. Every forum uses different frequency band in GHz. Although here this paper will discuss the main issue of 5G technology and that is the power issue. FBMC as the main 5G technology aspirant and this also suffers from the problem of power which is being composed by the term PAPR ratio. PAPR reduction techniques like DSLM is used and the paper proposes this as the superior technique for improving the PAPR by deep scrutiny .
Immunoprotection versus immunopathogenesis associated with Aspergillus fumigatus exposure

Opportunistic fungus Aspergillus fumigatus can cause a wide range of disorders depending on the immunological state of the host. In individuals lacking a robust innate immune response, invasive aspergillosis (IA) within the lungs can occur. In contrast, patients with a hyperreactive immune response can develop an allergic disorder called Allergic Bronchopulmonary Aspergillosis (ABPA). Using mouse models, we investigated contributing factors of host defense in IA and fungal asthma induced by A.
The Synergistic Anticancer Effect of Dual Drug- (Cisplatin/Epigallocatechin Gallate) Loaded Gelatin Nanoparticles for Lung Cancer Treatment

Lung cancer has the highest mortality of any cancer worldwide, and cisplatin is a first-line chemotherapeutic agent for lung cancer treatment. Unfortunately, cisplatin resistance is a common cause of therapeutic failure. The ability to overcome chemoresistance is crucial to the effective treatment of lung cancer. Recently, epigallocatechin gallate (EGCG), a type of polyphenol extracted from tea, has been shown to suppress the rapid proliferation of cancer cells, including lung cancer. We tested whether nanoparticles (NPs) carrying a dual drug load, cisplatin and EGCG, could overcome chemoresistance to cisplatin, by working together to kill lung cancer cells. Self-assembling gelatin/EGCG nanoparticles (GE) were synthesized, and cisplatin was then incorporated, to construct a dual drug nanomedicine (EGCG/cisplatin-loaded gelatin nanoparticle, named as GE-Pt NP). The particle size and zeta potential were examined by dynamic light scattering (DLS). The morphological structure of GE-Pt NPs was observed by transmission electron microscopy (TEM). In vitro testing was performed using a human lung adenocarcinoma cell line (A549). A cytotoxicity examination was performed, using a WST-8 cell proliferation assay. Intracellular cisplatin content was quantified by inductively coupled plasma mass spectrometry (ICP-MS). In conclusion, we successfully prepared GE-Pt NPs, as spherical structures, approximately 75 nm in diameter, with a positive charge ( ). The encapsulation rate of cisplatin in GE-Pt was about 63.7%, and the EGCG loading rate was around 89%. A relatively low concentration of GE-Pt NPs (EGCG 5 μg/mL : cisplatin 2 μg/mL) exhibited significant cytotoxicity, compared to cisplatin alone. The GE-Pt NPs are freely taken up by cells via endocytosis, raising the intracellular cisplatin concentration to a therapeutic level. We consider that combination therapy of cisplatin and EGCG in nanoparticles (GE-Pt NPs) may help overcome cisplatin resistance and could effectively be used in the treatment of lung cancer.
Single-cell analysis of upper airway cells reveals host-viral Single-cell analysis of upper airway cells reveals host-viral dynamics in influenza infected adults [preprint] dynamics in influenza infected adults [preprint] this document you.

Influenza virus infections are major causes of morbidity and mortality. Research using cultured cells, bulk tissue, and animal models cannot fully capture human disease dynamics. Many aspects of virus-host interactions in a natural setting remain unclear, including the specific cell types that are infected and how they and neighboring bystander cells contribute to the overall antiviral response. To address these questions, we 35 performed single-cell RNA sequencing (scRNA-Seq) on cells from freshly collected nasal washes from healthy human donors and donors diagnosed with acute influenza during the 2017-18 season. We describe a previously uncharacterized goblet cell population, specific to infected individuals, with high expression of MHC class II genes. Furthermore, leveraging scRNA-Seq reads, we obtained deep viral genome coverage and developed a model to rigorously identify infected cells that detected influenza infection in all epithelial cell types 40 and even some immune cells. Our data revealed that each donor was infected by a unique influenza variant and that each variant was separated by at least one unique non-synonymous difference. Our results demonstrate the power of massively-parallel scRNA-Seq to study viral variation, as well as host and viral transcriptional activity during human infection. interhost variability of the virus strain, 3) the variability of inter-/intra-host virus expression patterns, and 4) the heterogeneity of host cell type responses to the viral infection. We used Seq-Well (Gierahn et al., 2017; Ordovas-Montanes et al., 2018), a portable microwell-based scRNA-Seq technology, to jointly define the infecting influenza virus and the host response at the molecular level. Our study defines diverse cell types that 95 can be infected by and respond to the influenza virus infection in the human nasal tract, including a previously an Interferon-Stimulated Gene
Odesa Mecnikov National University International conference of young scientists «MODERN PROBLEMS OF MICROBIOLOGY AND BIOTECHNOLOGY»

Peri-implantitis belongs to the number of the most common complications of dental implant placement that can occur during the procedure as well as in the postoperative period. A key role in the immune defence of oral cavity belongs to nonspecific factors that act as a powerful barrier and are the first to respond to foreign agents entering the mouth The aim of this work was an exploring the neutrophil bactericidal activity depending on time of peri-implantitis development by using NBT tes. For success of this aim samples of capillary blood of 50 patients were checked up by NBT tes. Among the 100 cells we counted the share of active neutrophils. Period of peri-implantitis development after dental implant placement correlates with the changes of the share of active neutrophils in patients’ blood.
Effect of organic amendment on soil carbon dynamics in agricultural ecosystems [an abstract of dissertation and a summary of dissertation review]. 審査の要旨

Title Effect of organic amendment on soil carbon dynamics in agricultural ecosystems [an abstract of dissertation and a summary of dissertation review] Author(s) 濱本, 亨 Citation 北海道大学. 博士(農学) 甲第13921号 Issue Date 2020-03-25 Doc URL http://hdl.handle. net/2115/77912 Rights(URL) https://creativecommons.org/licenses/by/4.0/ Type theses (doctoral abstract and summary of review) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information Toru_hamamoto_review. pdf (審査の要旨)
deduplication with keys and chunks in HDFS storage providers

- Cloud computing is one type of computing platform that is Internet based. One important feature of a Cloud service is Cloud storage. The cloud users may upload sensitive data in the Cloud and allow the Cloud server to maintain these data. It is critical to manage large volumes of duplicated data hence many deduplication techniques were developed. Existing solutions of deduplication failed in providing security and reliability efficiently. We propose a new distributed deduplication system in HDFS storage providers that ensures higher reliability with the help of ownership verification and provides reliable distributed key management servers to maintain the keys storage. Thus the new scheme achieves deduplication in HDFS storage easily.
Malignant Lymphomas Fludarabine in combination with cyclophosphamide or with cyclo- phosphamide plus mitoxantrone for relapsed or refractory low-grade non-Hodgkin’s lymphoma

*Division of Hematology I, Department of Hematology, S. Martino Hospital, Genoa; °Division of Hematology, S. Croce Hospital, Cuneo; #Department of Oncology and Biostatistics Unit of the University, National Cancer Institute of Genoa; @Division of Hematology, S. Giovanni Hospital, Venice; ^University Department of Oncology, National Cancer Institute, Genoa; §Chair of Hematology, Department of Hematology, University of Genoa, Italy Malignant Lymphomas
PERIODONTAL RISKS AND COMPLICATIONS CORRELATED WITH ORTHODONTIC TREATMENT. A REVIEW

Periodontal health may be used to evaluate the success of orthodontic treatment. Orthodontic treatment ensures proper alignment of the teeth and improves the occlusal and jaw relationship. This improves the quality of life, contributing to oral and general health. Orthodontic treatment has benefits, but also risks and complications. Oral hygiene instruction and periodontal therapy are also indicated for child and adolescent orthodontic patients. This review highlights three most important periodontal complications of the orthodontic treatment and it assesses the necessity of the periodical periodontal controls and treatments before, during and after the orthodontic treatment.
Impact of thermal stress on milk production, composition and fatty acid profile in dairy cows: A review

Thermal stress is one of the major issues affecting the production capacity of dairy cows almost in every area of the globe. Thermal stress lowers feed intake, milk yield, compromised rumination and nutrient absorption and increased respiratory rate and sweating. Thermal stress adversely affects milk production and its composition in dairy animals, especially in animals of high genetic merit. Elevated temperature and humidity affect various components of milk such as fat (%), SNF, protein and fatty acid profile also. Thermal stress was associated with a decline in total protein and fat content. Cow milk has poten¬tial benefit to human health as it contains a large number of fatty acids (FA), including polyun-saturated fatty acids (PUFA) and conjugated linoleic acid (CLA). Milk fat in summer consists of more linoleic acid, lino¬lenic acid, oleic acid and CLA than in winter. Total saturated fatty acids (SFA) content was higher in summer, where as total monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA) and conjugated linoleic acid (CLA) concentration were lower in summer as compared to winter season. It may be concluded from this review that thermal stress adversely affects both quantity as well as quality of milk in high yielding dairy cows and therefore effective mitigation strategies should be implemented to minimize the negative effects of high ambient temperature and to boost the production performance of high yielding dairy cows.
Imagery and Syntactic Reconstruction of Sentences

The fact that retrieval is an active process which can distort the actual contents of memory has been given insufficient attention by language theorist's. The "reconstructive hypothesis," a recall theory, of James, Thompson, and Baldwin (1973) is here attached to two popular theories of memory storage, the imagery theory of Paivio (1971a) and the "constructive hypothesis" of Bransford, Barclay, and Franks (1972). The purpose is both to test these storage theories and to re-evaluate the "reconstructive hypothesis" in light of the possibility that it is interpreting as the effects of imagery levels what is in fact a difference in meaningfulness among nouns. The experiment was carried out in a cued-recall situation using sentences with various combinations of noun imagery as stimuli. A preceding paragraph placed each sentence in a context, thus reducing the meaningfulness problem. The paragraphs also served as recall cues. The results showed that the "reconstructive hypothesis" accurately predicted the probability of voice transformation among sentences with different noun-imagery combinations, the most impor­ tant statistic, but that, contrary to earlier findings, memory was as good for low imagery as for high imagery items. Results were interpreted as supportive of the "constructive hypothesis" of storage. The "reconstructive hypothesis" of recall was seen as basically correct except for its dependency on the hypothetical notion of imagery. A new hypothesis is proposed to account for the selective effects of stimuli rated according to imaginal value.
The Best Inoculation Technique Applied on Gyrinops versteegii Tree Trunk

Agarwood is a non-timber forest product having high economic value, however, its population in nature is getting decrease. Gyrinops versteegii , an agarwood-producing plant, has been listed in Appendix II CITES, therefore, exploitation of the agarwood in nature must be reduced. An effort to reduce the agarwood exploitation the nature is by agarwood cultivation including cultivation of agarwood-producing plant and agarwood inoculation. Some of agarwood inoculation methods are simpori and implant techniques. Simpori is a modified inoculation method using porous nail and Fusarium solani , meanwhile implant technique uses drill and pieces of wood that is soaked in F. solani spores. The present study aimed to determine the best inoculation technique applied to G. versteegii tree trunk at 4 to 5m height, comparing simpori and implant techniques. This study used completely randomizes design with two treatments (simpori and implant techniques). The result showed that the averages yield of production agarwood produced by simpori and implant techniques are 0.66 and 0.64%, respectively. Based on SNI 7631:2011, the visual quality of the produced agarwood belongs to kemedangan TG.C. In conclusion, both simpori and implant technique produced agarwood in similar quality and quantity at six months inoculation, however, simpori is more practical for application in the field. This study provides additional data about agarwood produced by simpori and implant technique and give the alternative methods for agarwood farmers producing their agarwood themselves.
Image Denoising Base On SIFT And Chaotic Hopfield Neural Network Swarm Optimization

Many techniques and filters were used in the image noise removal for different types of noises distributions and locations. The intelligent filters utilized the denoising functionality with a best accuracy and speed operation. In this paper, the technique suggest to image denoising uses the SIFT algorithm (Scale-invariants features transform) for detecting and describe local features in images and chaotic Hopfield neural network swarm optimization in order to detect and remove the some unwanted details and noise without blurring the denoised image. The SIFT algorithm was used to detect the local features of the important and references image features to help the chaotic neural network to avoid the wanted features without changing. Also to increase the chaotic neural network accuracy while the chaotic function used to develop the Hopfield neural network to avoid the local minima and weights optimization. An acceptable
Degradation of sulfamethazine, tetracycline, and tylosin in prairie strip soils and row crop soils

The livestock industry in the United States is heavily reliant on veterinary antibiotics for disease prevention and disease treatment. These compounds go on to be excreted into manure, which is applied to farmland as fertilizer. Once introduced to the soil environment, there is risk that these compounds can accumulate and create selective pressure for antibiotic resistant bacteria strains, or travel to nearby water resources, where they may come into contact with humans. The goal of this study was to determine whether the incorporation of prairie buffer strips on farmland may enhance degradation rates of these antibiotic compounds and thus lower the risk they pose to humans. A lab-based incubation study was conducted to test degradation rates of sulfamethazine, tetracycline, and tylosin mixed with swine manure slurry in a soil environment at a starting concentration of 10 μg kg to reflect common veterinary antibiotic concentrations in soil and overland runoff following manure application. Two soil treatments, prairie strip soil and row crop soil, were evaluated from three different sampling locations in central Iowa. Antibiotic concentrations were quantified at six time points throughout a 72-day incubation period using LC-MS and fit to the first-order rate equation to calculate decay-rate and half-lives. Tetracycline degraded significantly faster in row crop soil than prairie strip soil, while sulfamethazine and tylosin demonstrated no significant difference. Each antibiotic returned to near-background levels over the course of the incubation period. This study suggests that prairie strips may not serve as a mechanism to enhance antibiotic degradation in farm fields, but that antibiotics are unlikely to persist throughout the growing season in either crop soil or strip soil.
Entity Linking for Chinese Short Texts Based on BERT and Entity Name Embeddings

Traditional entity linking tasks are primarily for long texts, which have full context information that can assist in the recognition and disambiguation of entities. In contrast, Chinese short text entity linking brings a great challenge due to serious colloquialism and insuﬃcient contexts. The whole process of entity linking consists of two subtasks: entity recognition and entity disambiguation. For the entity recognition subtask, we use description text information in a knowledge base to enhance the performance of entity recognition, and propose the BERT-EntityNameEmbedding (BERT-ENE) model. Speciﬁcally, the vector embedding of a entity is ﬁrst obtained by mining the description text of the entity in a knowledge base. Then, candidate entities in the short text are obtained by name dictionary matching technique. Finally, the results are ﬁltered by the BERT-ENE model to fulﬁl the task of entity recognition. In addition, we further propose a combination of the BERT-ENE model and the BERT-CRF model, which signiﬁcantly improves the recognition eﬀect compared with traditional methods. For the entity disambiguation subtask, we regard it as a binary classiﬁcaiton problem. Candidate entities are predicted by a BERT-based binary classiﬁcation model, and then predicted probabilities are sorted. The entity with highest probability is selected as the correct entity. Based on the proposed method in this paper, we achieved the ﬁrst place in the CCKS2019 entity linking task for Chinese short text.
The millipede family paradoxosomatidae in Paraguay, with descriptions of five new species (Diplopoda, Polydesmida)

A review is provided of the millipede family Paradoxosomatidae in Paraguay, with keys compiled to 14 genera and 63 species occurring in this country and/or adjacent areas. Five species are described as new: Catharosoma bilineatum sp. n. , C. mahnerti sp. n. , Broelemannopus minutus sp. n. , Mestosoma simplex sp. n. and M. crassipes sp. n.
Taylor Principle under Inflation Targeting in Emerging ASEAN Economies: GMM and DSGE Approaches

This paper aims to reassess the performances of inflation targeting adopted by emerging ASEAN countries, Indonesia, the Philippines and Thailand, by examining their monetary policy rules, both through generalized-method-of-moments (GMM) estimations of policy reaction functions and through Bayesian estimations of the New Keynesian dynamic-stochastic-general-equilibrium (DSGE) model. The main findings are summarized as follows. First, the GMM estimations identified inflation-responsive rules fulfilling the Taylor principle, with a forward-looking manner in Indonesia and Thailand and with a contemporaneous way in the Philippines. Second, the Bayesian estimations of the New Keynesian DSGE could reassure the GMM estimation results, as the former estimations produced consistent outcomes with the latter ones on the policy rate reactions to inflation with the Taylor principle.