Miracle-dz/UniFAR-FTUs huggingface dataset:
Biochemistry and Physiology of Polyamines in Plants

INTRODUCTION An Historical Perspective On Research in Plant Polyamine Biology (Terence A. Smith). POLYAMINE METABOLISM IN PLANTS. Polyamine Biosynthesis in Plants (Robert D. Slocum). Polyamine Catabolism in Plants (Rodolfo Federico and Riccardo Angelini). Polyamines and Plant Secondary Metabolites (Hector E. Flores and Josette Martin-Tanguy). Metabolic and Physiological Relationships Between the Polyamine and Ethylene Biosynthetic Pathways (Mosbah M. Kushad and Erwin B. Dumbroff). Tissue and Subcellular Localization of Polyamines and Enzymes of Polyamine Metabolism (Robert D. Slocum). Uptake and Transport of Polyamines and Inhibitors of Polyamine Metabolism in Plants (Nello Bagni and Rosella Pistocchi). Uncommon Polyamines in Plants and Other Organisms (Gregory C. Phillips and Glenn D. Kuehn). Molecular Analyses of Polyamine Synthesis in Higher Plants (Russell L. Malmberg and Erin Bell). POLYAMINES IN PLANT GROWTH AND DEVELOPMENT. Polyamines in Cell Division, Fruit Set and Development, and Seed Germination (Marcos Egea-Cortines and Yosef Mizrahi). Cell Cycle-Dependent Changes in Plant Polyamine Metabolism (Donatella Serafini-Fracassini). Polyamines and Plant Morphogenesis (Arthur W. Galston and Hector E. Flores). Effects of Light and Plant Growth Regulators on Polyamine Metabolism in Higher Plants (Rajeev Rastogi and Peter J. Davies). Physiological and Biochemical Studies on the Antisenescence Properties of Polyamines in Plants (Ravindar Kaur-Sawhney and Arthur W. Galston). Changes in Polyamine Metabolism in Response to Abiotic Stress (Hector E. Flores). ANALYTICAL METHODS FOR POLYAMINES AND ENZYMES OF POLYAMINE METABOLISM. Chromatographic Methods for the Identification and Quantitation of Polyamines (Mary A. Smith). Assay Methods for Enzymes of Polyamine Metabolism (Helena Birecka). INDEX.
Research on Clothing Classification Based on Convolutional Neural Network

Convolutional neuron network is a deep learning technology in the field of image classification and image recognition. In this paper, two convolutional neuron network structures having different convolution layers and pooling layers are designed. Each model is train and test with Fashion-MNIST dataset. The experiment results show that convolutional neuron network is an efficient method in clothing image classification. The complex structure model can achieve higher classification accuracy but it will increase the computation costs.
Data Security Methods in Cloud Computing

Digital technology has become an important part of organizations due to the global spread of the internet and the increase in the number of smart devices, offering multiple benefits to users. The need for adapting to current requirements, has led to emergence of a new technology, cloud computing, developed for modern people needs, addicted to information and on the run. Information security is one of the main challenges for cloud developers, data loss causing damage in various fields and this is one of the reasons why some organizations do not adopt cloud migration. This paper analyzes the security of cloud computer technology, as well as the issues to ensure the security of the data in the cloud, according to the current technological methods and the specific architecture. The final part of the paper proposes a customized method for data security according to their importance to a particular organization, using current security methods.
Multi-state household appliance identification based on neural network

In the current non-intrusive load monitoring process, the states switching of some multi-state appliances is difficult to be correctly identified by the switch event detection method, and the energy consumption statistics due to poor multi-state identification of the electrical appliances are not accurate. This paper proposes a multi-state household appliance load identification method based on convolutional neural network and clustering model. First, a convolutional neural network is used to construct an appliance type identification model. Then, a multi-state identification model is established to identify the state of different multi-state appliances. The experimental results show that the proposed method achieves multi-state identification of electrical appliances and has good engineering and practical value.
Sensing and switching capabilities of a tunable GST-based perfect absorber in near-infrared region

In this paper a GST-based perfect absorber is investigated for sensing applications. The simulation results show the high sensitivity and figure of merit of 900 nm per refractive index unit (RIU) and 15 RIU−1, respectively. The sensing parameters are also studied for different biomedical applications such as detection of glucose in water, malaria infection, bacillus bacteria, and cancer cells. The phase change material GST makes the structure tunable and switchable by changing the phase through different annealing temperatures. By changing temperature, the optical characteristics of GST are altered and so the perfect absorption can be tuned at different near-infrared wavelengths. Moreover, the sweep between the amorphous and crystalline states of GST results in switching capability with the high extinction ratio of 13.97 dB at λ = 1724 nm. Therefore, the perfect tunable absorber supports our new idea of multi-application plasmonic devices with two capabilities of sensing and switching, simultaneously. Also, the E-field distributions and analytical method of equivalent circuit model are utilized to verify the simulation results and demonstrate a better insight of the proposed structure performance. The polarization independency of the proposed structure, tunability, good sensing and switching performances are some other benefits of our proposed structure, which can pave the way for development of new investigations about the phase change material applications in plasmonic studies.
The Outdoor Field Test and Energy Yield Model of the Four-Terminal on Si Tandem PV Module

The outdoor field test of the 4-terminal on Si tandem photovoltaic module (specifically, InGaP/GaAs on Si) was investigated and a performance model, considering spectrum change affected by fluctuation of atmospheric parameters, was developed and validated. The 4-terminal on Si tandem photovoltaic module had about 40% advantage in seasonal performance loss compared with standard InGaP/GaAs/InGaAs 2-terminal tandem photovoltaic module. This advantage increases (subarctic zone < temperate zone < subtropical zone). The developed and validated model used an all-climate spectrum model and considered fluctuation of atmospheric parameters. It can be applied every type of on-Si tandem solar cells.
Smart Meter Data Obfuscation Using Correlated Noise

In this article, we present a data obfuscation technique for smart meter data based on additive correlated noise. This noise is used to mask the data transmitted by different users to a third party, resulting in protection against eavesdroppers, but at the same time enabling the accurate recovery of statistics of the original data for use by the energy supplier. We analyze the proposed technique by studying its obfuscation performance and accuracy of statistics recovered from the masked data as a function of noise correlation with the users’ data. Finally, we identify deep learning techniques such as generative adversarial networks for data obfuscation using correlated noise, and show preliminary results to demonstrate their performance in this scenario.
Mammary Epithelial Metastatic Phenotype Forced through the Extracellular Matrix

Biochemical and mechanical cues of the extracellular matrix have been shown to play important roles in cellmatrix and cell-cell interactions. We have experimentally tested the combined influence of these cues on cell motility, cell-cell interaction and assembly and traction force profile in an in vitro breast cancer model. The behavior of non-tumorigenic mammary epithelial cells was observed on surfaces with varying ligand concentration and polyacrylamide gel rigidity. Our data shows that cell velocity is biphasic in both matrix rigidity and adhesiveness, which are inversely related. Traction force microscopy revealed that maximum migration velocity is reached at intermediate force of single cells. Cell-cell adhesion becomes strongly favored on softer gels with elasticity ≤1250 Pascals. This result implies an existence of a compliance threshold that promotes cell-cell over cell-matrix adhesion. On softer gels of 400 Pa, stiffness similar to pre-malignant breast tissue in vivo, cells undergo multi-cellular assembly, division and rearrangement into 3D spherical aggregates on 2D surface. The aggregates resemble the spherical acini found in vivo and are also formed with EpH4-J3B1 mouse mammary epithelial cells at same compliance. We establish mechanical cross talk between cell-cell and cell-matrix adhesions. Our findings of mechanotransduction show cell pairs exhibit 'tug of war' competitive dynamics between cell-cell and cellmatrix traction forces. Deletion of E-cadherin binding site to β-catenin results in loss of cell-cell tension magnitude and loss of the cross talk. We are first to show force dynamics of cell division and cytokinesis in adherent mammalian cells. In normal division intercellular force goes through a maximum. Inhibition of myosin II mediated contractility with blebbistatin completely inhibits cell cytokinesis on gel surfaces. However inhibition of Rho-associated kinase ROCK does not inhibit cytokinesis, only reduces the magnitude of the forces. Therefore myosin II mediated contractility is necessary for cytokinesis on physiologically relevant substrates. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group Chemical and Biomolecular Engineering First Advisor Daniel A. Hammer
Photochemical oxidation model of organic pollutants in greywater from a small household

The treatment of coagulated greywater from a small household was investigated. The processes of oxidation of organic compounds with hydrogen peroxide combined with ultraviolet radiation (H 2 O 2 /UV) was described. Greywater with various initial COD and TOC concentrations was used in the H 2 O 2 /UV process. The process parameters were hydrogen peroxide doses 0.5–4.0 kg H 2 O 2 /m 3 , UV (254 nm) light intensity 75.5 W/m 2 and irradiation time – 1 h. The oxidation efficiency varied broadly from 15 to 98% and higher COD values corresponded to lower oxidation efficiencies. The average hydrogen peroxide consumption per kg of COD w was = 12.2 g H 2 O 2 /g O 2 COD, while per TOC it was w ′ = 69.0 g H 2 O 2 /g C. The experiments enabled one to developed mathematical models for coagulation and oxidation kinetics. The models showed that at the initial COD = 859 g O 2 /m 3 , the coagulant dose of 100 g Al 3+ /m 3 , the hydrogen peroxide dose of 4 kg H 2 O 2 /m 3 and the UV irradiation time of 3 h it is possible to decrease the COD by 98.4%.
The principles of rapid response for amphibian conservation, using the programmes in Panama as an example

As a direct response to many threats facing seriously threatened amphibian species, including habitat loss, pollution and, more recently, emerging infectious disease, ex situ captive-breeding programmes have proven valuable tools in species preservation. Uniting scientific research and conservation initiatives, here the growth of ex situ conservation for nearly a decade in central Panama is discussed. Looking at three specific projects, it can be demonstrated that collaborative efforts and multiple-response methods yield positive results in amphibian conservation and species preservation. At the same time, the lessons learned will be examined in each of these projects to allow for future amphibian conservation programmes to consider.
From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage

Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author’s precision but suffices for the automatic HBIM of the case study in this research.
Analysis of the Hardness of Aluminum by Instrumented Micro Indentation

utilise la dureté d’indentation contrairement à la dureté de Martens qui montre sa limite et ceci d’autant plus que l’échelle de mesure est petite. D’où, les avantages et les atouts de recourir à la dureté d’indentation en qualité de propriété informative importante de caractérisation micromécanique des matériaux. L’influence du défaut de pointe de l’indenteur émoussée de par son utilisation est négligeable en microdureté. The microindentation experimental tests were carried out on Aluminum 6061-T6 films. A comparative study between the estimation of Martens hardness and that of indentation is implemented, through the mathematical modeling of these two hardnesses respectively. The indentation size effect is a determining factor in characterizing the hardness of the material studied. This phenomenon is dependent on the macrodureté which corresponds to the hardness obtained by the application of an infinite load. To take into account the deformation modes around the imprint, the indentation hardness is used unlike Martens' hardness which shows its limit, especially since the measurement scale is small. Hence, the advantages and advantages of using indentation hardness as an important informative property for micromechanical characterization of materials. The influence of the blunt tip defect due to its use is negligible in microhardness.
Diversity and distribution of Archaea and bacteria in marine lakes, Palau

Archaea and bacteria affect the chemistry, biology, and ecology of ecosystems around the world. With anthropogenic activities altering terrestrial and aquatic systems (e.g. fertilizer runoff changing the chemistry of coastal marine waters), knowledge about the tolerances of microbes to changing environmental conditions is critical. While having been extensively studied in saline and marine systems (e.g. oxygen minimum zones, the Black Sea, and Mono Lake), microbes are not well understood in marine lakes, especially those located in Palau. The marine lakes of Palau are ideal for microbial ecology because these unique habitats act like oceanic mesocosms – making studies of microbes found in other saline systems (e.g. the ocean) much more feasible. Using Automated Ribosomal Intergenic Spacer Analysis (ARISA) and a next generation sequencing technique, 454 pyrosequencing, the richness, diversity, and composition of microbial communities in the marine lakes was analyzed. Lake bacterial groups showed a strongly supported dissimilarity (100% for ~11% similarity) between those from all but one low oxygen ( 10 μM) depths, and bacterial community similarities decreased with increasing depth (decreasing oxygen) in the meromictic lakes. While some bacterial groups were ubiquitous among the lakes, ones that participate in biogeochemical cycling of carbon, nitrogen, and sulfur were found in the low oxygen (<5 μM) waters of the meromictic lakes. This research helps show the significance of marine lakes to microbial ecology as well as to understanding other saline systems.
Multimodal Treatment of Mediastinal Follicular Dendritic Cell Sarcoma: a case report successfully treated

Follicular Dendritic Cell Sarcoma (FDCS) is an extremely rare malignant tumour of unknown aetiology which, just to its heterogeneity, is not always easily recognized, diagnosed and accurately treated. To date only 49 cases of FDCS are reported in Literature. There could be a difficult differential diagnosis with metastatic carcinoma, ectopic thymoma or primary – metastatic malignant fibrous histiocytoma. Superficial and deep lymph nodes in axilla and more rarely in inguinal sites, are usually involved with a specific symptoms, very rarely intra‐abdominal structures are interested. A mediastinal localization of this tumour is even more rare. An accurate diagnosis is very difficult and is often obtained on surgical specimen and only with immunohistochemical studies. The treatment of first choice for this pathology is surgical excision, whatever is the site of the lesion; radio ‐ chemotherapy could be considered as adiuvant treatment, in case of incomplete excisions, or principal treatment of local recurrences or distant metastases, whose rates vary between 24 and 43% of cases. This combined therapy seems to be the key of good survival rates. We present a case of a 42 years old young man affected by mediastinal FDCS, successfully treated with surgical complete excision of the mass and radiotherapy.
Fungal colonization of the rooting system of the early land plant Asteroxylon mackiei from the 407-Myr-old Rhynie Chert (Scotland, UK)

Associations between plants and fungi were an important and varied feature of early terrestrial ecosystems, but in most instances their biological functions remain poorly understood. We document a new species of fungus colonizing the rooting system of the early lycopod Asteroxylon mackiei, based on exceptionally well-preserved fossils from the Rhynie Chert. We investigated historical petrographic thin sections using standard optical microscopy and confocal laser scanning microscopy. Palaeozoosporites renaultii gen. nov., sp. nov. colonized the inner cortex of the plant rooting system. The fungus had an aseptate thallus with isotomous or sympodial branching. The mycelium bore distinctive porate, globose to elongated structures that we interpret as zoosporangia and resting sporangia. Doubts remain over the precise systematic affinity of P. renaultii, which closely resembles chytrids. Whereas most of the Rhynie Chert plants developed symbiotic associations of the mycorrhizal type, it seems that this was not the case for Asteroxylon mackiei, which possessed the most evolved rooting system among the Rhynie Chert plants. We argue that the new root-borne fungus was probably parasitic. © 2015 The Linnean Society of London, Botanical Journal of the Linnean Society, 2015, 179, 201–213.
Ecological Niche Models Reveal Climate Change Effect on Biogeographical Regions: The Iberian Peninsula as a Case Study

How species are distributed on Earth depends largely on climate factors. Whenever these environmental conditions change, species tend to shift their distributions to reach more favourable conditions. Distinct sets of species similarly distributed (i.e., chorotypes) occur in biogeographical regions with homogeneous environmental conditions. Here, we analysed whether biogeographical regions are unstable over time (from the past to the future). We modelled the realised niche of amphibians and reptiles in the Iberian Peninsula in the present, and several past and future climate scenarios. Then, we used Jaccard’s index and the unweighted pair group method (UPGMA) to define the biogeographical regions. Our results suggest that the biogeographical regions of Iberian amphibians and reptiles changed greatly over time, due to the climatic changes between periods. Biogeographical regions composed of species with Atlantic affinities changed particularly, overall gaining suitable areas in past colder periods and losing suitable areas in warmer periods. The areas of refugia for amphibians over time corresponded to the most humid regions (north-west of the peninsula), while the most important areas for reptiles occur in the south and on the Atlantic coast. The identification of biogeographical patterns considering past climate changes is essential to better apply conservation measures.
Quantification of Bacillus cereus and Burkholderia cepacia within soil by real time polymerase chain reaction

RESEARCH PAPER: Quantification of Bacillus cereus and Burkholderia cepacia within Soil by Real Time Polymerase Chain Reaction STUDENT: Natalia Hinton DEGREE: Master of Arts COLLEGE: Sciences and Humanities DATE: December, 2012 PAGES: 9 During the investigation of arson cases, soil samples are often acquired to analyze ignitable residues. Soil samples are often placed in storage until analysis can be conducted. During this period, samples are often degraded by microorganisms. Many microorganisms have been indicated in the biodegradation of ignitable residues. Two ubiquitous soil bacteria, Burkholderia cepacia and Bacillus cereus, are both known to biodegrade ignitable residues. Three soil types commonly analyzed in arson cases, agricultural, industrial, and residential, were screened by Real-Time PCR to quantify B. cepacia and B. cereus populations. B. cereus occurred in higher levels than B. cepacia in all soil types. Industrial soil had the highest concentration of both species indicating a higher probability of ignitable residues being biodegraded. Understanding of bacterial populations in soil is necessary to develop strategies to prevent the biodegradation of ignitable residues during the storage of arson soil samples.
A Novel Energy-Efficient Routing Scheme for LoRa Networks

Although being simple and currently adopted for LoRaWAN, single-hop routing (i.e., direct transmission from end devices to the gateway) is not necessarily optimal in terms of minimizing the total energy consumption of the network. This paper extends Distance Ring Exponential Generator (DRESG) framework and presents a multi-hop routing scheme in the context of low-power wide-area networks (LPWANs) based on LoRa transmission technology. An evaluation framework is developed to analyze and compare different routing mechanisms that takes into account important factors such as the type of nodes in the network and node distribution. Considered are direct-hop (DH) routing, next-ring-hop (NRH) routing and variable-hop (VH) routing. Analysis and simulations results confirm that better performance in terms of energy efficiency is achieved with multi-hop routing model over single-hop routing. In particular, while maintaining a high level of network connectivity, VH routing outperforms DH routing by minimizing energy consumption of critical nodes. The gain in terms of energy saving or enhancing network lifetime becomes more significant with payload aggregation.