SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Non‐agricultural databases and thesauri

Purpose The paper aims to assess the utility of non‐agriculture‐specific information systems, databases, and respective controlled vocabularies (thesauri) in organising and retrieving agricultural information. The purpose is to identify thesaurus‐linked tree structures, controlled subject headings/terms (heading words, descriptors), and principal database‐dependent characteristics and assess how controlled terms improve retrieval results (recall) in relation to free‐text/uncontrolled terms in abstracts and document titles. Design/methodology/approach Several different hosts (interfaces, platforms, portals) and databases were used: CSA Illumina (ERIC, LISA), Ebscohost (Academic Search Complete, Medline, Political Science Complete), Ei‐Engineering Village (Compendex, Inspec), OVID (PsycINFO), ProQuest (ABI/Inform Global). The search‐terms agriculture and agricultural and truncated word‐stem agricultur‐ were employed. Permuted (rotated index) search fields were used to retrieve terms from thesauri. Subject‐heading search was assessed in relation to free‐text search, based on abstracts and document titles. Findings All thesauri contain agriculture‐based headings; however, associative, hierarchical and synonymous relationships show important inter‐database differences. Using subject headings along with abstracts and titles in search syntax (query) sometimes improves retrieval by up to 60 per cent. Retrieval depends on search fields and database‐specifics, such as autostemming (lemmatization), explode function, word‐indexing, or phrase‐indexing. Research limitations/implications Inter‐database and host comparison, on consistent principles, can be limited because of some particular host‐ and database‐specifics. Practical implications End‐users may exploit databases more competently and thus achieve better retrieval results in searching for agriculture‐related information. Originality/value The function of as many as ten databases in different disciplines in providing information relevant to subject matter that is not a topical focus of databases is assessed.
African abolitionism: the rise and transformations of anti-slavery in africa

The historiography of Euro-American abolitionism is so vast that it has a history of its own (Brown 2006). By contrast, research on African abolitionism is a narrow field focused primarily on European anti-slavery activities. It presupposes that when Europe abolished slavery in Africa, Africans became abolitionists. This conclusion is unfounded. Many general questions have never been asked: When and where did African abolitionist movements develop? Who are the main ideologues of African abolitionism? How did abolitionism spread, among which groups? What forms of political struggle did African anti-slavery give rise to? While individual African abolitionists and regional movements have attracted limited attention, there is no major review of the phenomenon on a continental scale. AFRAB fills this gap. It contributes to African and global history and slavery studies by analyzing and comparing African abolitionist ideas and anti-slavery movements, the long-term consequences of European abolitionism, and the resilience of pro-slavery discourses.
Developing new drone-based gas sensing technology to characterise fire emission plumes by miniature low cost sensors

This project will deliver new drone-based gas sensing technologies for environmental monitoring, specifically to characterise the complex pollution (CO, CO2, NOx, O3 etc) plumes from wildfires. It builds on the success of these low-cost miniature sensors recently demonstrated by the ER and her industry collaborator in volcanic plumes, combined with Host expertise on fire science and remote sensing geography and partner expertise in drone applications and laboratory sensor tests. It takes timely opportunity of a major coordinated atmospheric campaign on fire plumes. Biomass burning emissions substantially influence air quality on local to regional scales as well as global atmospheric composition. Atmospheric modelling efforts to predict fire plume impacts require knowing the emission composition, which can vary greatly between different fires and also between different plume measurement altitudes, and temporally, depending on precise fuel makeup, degree of smouldering vs flaming combustion, etc. Existing approaches (ground-based, aircraft, satellite) all have limitations in quantifying the emissions, near-downwind plume height and chemical evolution. Our development of new drone-based fire plume gas sensing technology aims to fill this current ‘data gap’. There is high potential for future societal benefit through widespread applications of the new technology to detect and chemically map wildfire but also other plume hazards (e.g. volcanoes, landfill sites, industry accident releases).
Elementi tekstila u oblikovanju naslonjača

Through this work we'll be introduced to all the necessary elements for constructing an armchair as a final product. This includes adequate selection of materials, design and construction processes, with sampling and dyeing upholstery fabrics. The idea of handmade production is outlined and the concept of design is approached through its extensiveness and merging of the artistic with the technological.
 The shibori technique of sampling and coloring material is applied to give unpredictability and uniqueness. A contemporary design armchair has been created, with the exception of emphasized aesthetics, it futures comfort, quality and functionality.
 All the materials and processes outlined throughout this work are the main factors for achieving the end goal, and this is a unique product with its overall form within interior design.
Determination of the fair value of a multifunctional family farm: a case study

The article analyses the problems of the determination of the fair value of a multifunctional family farm using the method of discounted cash flow, presents a model of determination of the fair value of a multifunctional family farm and tests it for a selected family farm. The specificity of the cash flows in a multifunctional family farm is related to the cash flows from financial support, different value drivers of the earnings before interests and tax and their calculation methodology, and the value of created public goods and externalities. Two types of discount rates are used to determine the value of a family farm: marketbased and social discount rate (SDR). It is appropriate to use the SDR to discount the cash flow of investment, the economic and social benefits whereof are distributed among present and future generations. The stages of the determination of the fair value of a farmer’s farm include: value drivers’ decomposition; differentiation of cash flow and discount rates and measuring value drivers; forecasting cash flow and discount rate value drivers; value drivers’ composition; determination of the terminal value; and cash flow discounting.
Hand Preference for Tool-Use in Capuchin Monkeys (Cebus apella) Is Associated With Asymmetry of the Primary Motor Cortex

Skilled motor actions are associated with handedness and neuroanatomical specializations in humans. Recent reports have documented similar neuroanatomical asymmetries and their relationship to hand preference in some nonhuman primate species, including chimpanzees and capuchin monkeys. We investigated whether capuchins displayed significant hand preferences for a tool-use task and whether such preferences were associated with motor-processing regions of the brain. Handedness data on a dipping tool-use task and high-resolution 3T MRI scans were collected from 15 monkeys. Capuchins displayed a significant group-level left-hand preference for this type of tool use, and handedness was associated with asymmetry of the primary motor cortex. Left-hand preferent individuals displayed a deeper central sulcus in the right hemisphere. Our results suggest that capuchins show an underlying right-hemisphere bias for skilled movement.
Semantic ontology for annotated images

In multimedia search the retrieval of an image from a huge data-set are surrounded with extensive widespread concerns. Without procedures, the content of multimedia for semantic-interpretation is not clearly or really available for use. Manual Annotation is the only simple technique that helps to overcome semantic- interpretation. However, manual Annotation is not only time wasting and costly but also encompassed with the absence of concept diversity and semantic gap. This paper extends a semantic ontology method to extract label terms of the annotated image. LabelMe is the annotated data-set of the so far annotated terms. It enhances terms with the support of Knowledge bases of WordNet and ConceptNet, particularly. It supplements the identical synonyms as well as semantically related terms. It further reduces the semantic interpretation as well as increases the Semantic ontology for that annotated term domain. The results of an experiment performed shows that, the synonym terms were 15% and conceptually terms were 79% added along the primary list. It represents concept diversity an enhancement of 119.13% unique terms in the original list.
Methamphetamine-Associated Memory Is Regulated by a Writer and an Eraser of Permissive Histone Methylation

Memories associated with drugs of abuse, such as methamphetamine (METH), increase relapse vulnerability to substance use disorder by triggering craving. The nucleus accumbens (NAc) is essential to these drug-associated memories, but underlying mechanisms are poorly understood. Posttranslational chromatin modifications, such as histone methylation, modulate gene transcription; thus, we investigated the role of the associated epigenetic modifiers in METH-associated memory.Conditioned place preference was used to assess the epigenetic landscape in the NAc supporting METH-associated memory (n = 79). The impact of histone methylation (H3K4me2/3) on the formation and expression of METH-associated memory was determined by focal, intra-NAc knockdown (KD) of a writer, the methyltransferase mixed-lineage leukemia 1 (Mll1) (n = 26), and an eraser, the histone lysine (K)-specific demethylase 5C (Kdm5c) (n = 38), of H3K4me2/3.A survey of chromatin modifications in the NAc of animals forming a METH-associated memory revealed the global induction of several modifications associated with active transcription. This correlated with a pattern of gene activation, as revealed by microarray analysis, including upregulation of oxytocin receptor (Oxtr) and FBJ osteosarcoma oncogene (Fos), the promoters of which also had increased H3K4me3. KD of Mll1 reduced H3K4me3, Fos and Oxtr levels and disrupted METH-associated memory. KD of Kdm5c resulted in hypermethylation of H3K4 and prevented the expression of METH-associated memory.The development and expression of METH-associated memory are supported by regulation of H3K4me2/3 levels by MLL1 and KDM5C, respectively, in the NAc. These data indicate that permissive histone methylation, and the associated epigenetic writers and erasers, represent potential targets for the treatment of substance abuse relapse, a psychiatric condition perpetuated by unwanted associative memories.
Equilibrium composition and the effective adiabatic exponent of a clustering carbon plasma

The equilibrium composition and the effective adiabatic exponent of a low-temperature carbon plasma containing eight components (C, C2, C3, C4, C5, C+, C
 2
 +
 , and e) are calculated. The temperature and pressure ranges are found in which polyatomic clusters form in a gas flow. It is shown that the effective adiabatic exponent of the carbon plasma is a nonmonotonic function of temperature. In the parameter range where the plasma consists largely of polyatomic clusters, the adiabatic exponent is close to unity. It is noted that anomalously low values of the effective adiabatic exponent indicate a considerable concentration of polyatomic molecules in the plasma jet. Such values can be observed in experiments with a low-temperature carbon plasma flowing about bodies.
Development of graphene based contact position sensors

The overall objective of the GrapheneSens project is to develop novel graphene enabled contact position sensors for applications in automotive sectors, home appliances (white goods) and other relevant areas. The market size in the automotive sector alone for global position sensor is worth US$3.89 billion.

One of the main disadvantages of existing contact position sensors technology is poor wear characteristics (leading to reduced sensor reliability, drift over lifetime) and limited sensor accuracy (surface roughness leading to noise). We have found that graphene is ideal to use in these sensors because of its tribological properties which relates to wear and barrier properties.

To utilise graphene in these sensors, we combine the unique benefits of graphene to develop graphene based nano-composite coatings to obtain high wear and barrier properties: wear resistance combined with tailored resistivities; wear resistance combined with high conductivities and wear resistance combined with oxygen barrier. Each coating developed through modification of the same graphene ‘base ink’ formulation thereby maximising similarities between the coatings and thus improved wear performance.

The potentiometer and the encoder sensors are developed by printing graphene based nano-composite ink using screen printing technology while wiper unit is developed by using Aerosol Assisted Ion Deposition (AAID) technology. 

The graphene enabled contact potentiometer sensors will be highly durable (life cycle>4million), high linearity (<0.5%) and 22% cheaper and the encoder sensor have a track life > 100 k cycles, accuracy of 40+ pulse with better barrier properties to prevent oxidation and 18% cheaper. 

We expect to achieve annual sales revenue and profit of €38.53 million and €14.51 million respectively by 2023 with post project 5 year and return on investment (ROI) of 480%.
Mechanistic understanding of heterogenised hydrogen evolution catalysts through vibrational spectroelectrochemistry

Hydrogen (H2) will play a central role in the future global energy economy. It is therefore of utmost importance to develop economic routes for the production of H2 to make it more attractive as energy carrier medium in the future. Particularly, Co and Ni based compounds have gained attention for molecular H2 catalysis lately. Co glyoxime and pentapyridine coordinative complexes as well as Ni phosphine compounds are promising candidates exhibiting high catalytic activity in both electro- and light driven H2 catalysis in water. Nevertheless, for technological application the catalysts have to be immobilized on electrode surfaces. The adsorption strongly alters the catalytic reactions, which is still not clearly understood. To investigate the adsorbed catalysts, advanced spectroscopic methods are required that are able to provide sensitive information on the catalytic reaction at a molecular level. The aim of this proposed research is to investigate the heterogeneous catalytic reaction mechanism of Co and Ni mediated catalysis using an innovative combination of potential controlled confocal resonance Raman and ATR FT infrared absorption spectroscopy assisted by electrocatalytic methods and DFT calculations. For this, the three mentioned types of catalysts will be adsorbed on metal oxide surfaces and their catalytic reactions spectroelectrochemically and electrochemically investigated. Special emphasis is led on the role of heterogeneous electron and proton transfer steps on the overall heterogeneous catalytic activity compared to the homogeneous case. Through variation of the electrode material, the modulating material/catalyst interaction is aimed to be investigated in detail. In the outcome, the results will afford a comprehensive picture of the mechanism of metal catalysed HER.
Efficient kinetic resolution of (RS )-1-phenylethanol by a mycelium-bound lipase from a wild-type Aspergillus oryzae strain

A mycelium-bound lipase from Aspergillus oryzae (AOL) exhibited excellent enantioselectivity for kinetic resolution of (RS)-1-phenylethanol ((RS)-1-PE) in organic solvent. The various reaction parameters affecting the conversion and enantioselectivity were studied, including type of acyl donor, solvent, molar ratio, temperature, enzyme amount, and substrate concentration. The optimum reaction conditions were found to be transesterification with vinyl acetate at 30 °C in methyl tert-butyl ether with a vinyl acetate: (RS)-1-PE molar ratio of 1:1 and an enzyme concentration of 60 g/L. At the optimum reaction conditions, the conversion could reach above 46% with >99% enantiomeric excess of the product, (R)-1-phenylethyl acetate, when the substrate concentration was below 1.4 M. The enzyme displayed an excellent enantioselectivity with an E-value of >200 and a strong tolerance for high substrate concentration of up to 1.8 M. Those results indicated that AOL was a promising biocatalyst in the kinetic resolution of (RS)-1-PE.
Three-dimensional vascularization of electrospun PCL/collagen-blend nanofibrous scaffolds in vivo

Nanofiber scaffolds have proven their various advantages for tissue engineering and have been analyzed extensively. However, to date the three-dimensional pattern of vascularization inside nanofibrous scaffolds is unknown. This study introduces a novel method to visualize and quantify vascularization of electrospun nanofibrous PCL/collagen scaffolds in 3D in vivo. Randomly spun PCL/collagen blend and parallel aligned PCL/collagen blend/PEO scaffolds were analyzed for numbers and patterns of sprouting vessels inside the constructs using microCT scans at different time points. The image data derived from the microCT scans was converted into three-dimensional vessel trees. The aligned scaffold showed a significantly smaller number of sprouting vessels but vascularization in the center of the constructs occurred considerably earlier than in the nonwoven scaffold. Thus, for the first time the actual pattern of vascularization in nanofibrous scaffolds can be visualized three-dimensionally. These results demonstrate that the 3D pattern of vessel trees could be an essential parameter to evaluate nanofiber scaffolds for their suitability for tissue engineering as well as in vivo applications in general.
Floor cutter bit

A floor cutter bit for a coal plough has a cutter body which supports a floor cutter plate and a coal-face cutter plate. The two cutter plates are made of hard metal, and have respective cutting edges. The cutter plates are soldered into respective apertures in the cutter body. The cutting edge of the floor cutter plate extends the entire length of the floor cutter plate, and the floor cutter plate extends over the entire width of the cutter body. The base of the coal-face cutter plate adjoins the upper side of the floor cutter plate thereby defining an L-shaped cutter plate configuration. The depth of the floor cutter plate, at least in the region where the two cutter plates meets, is greater than about 15 millimeters.
Modernising and optimising business processes through innovative information and communication technologies

The main aim of the project is to optimise and automate management, operational and auxiliary business processes of the Applicant operating in the food industry. Thanks to the implementation of modern information and communication technology solutions in these processes, which will be implemented through the integrated ERP II class management system and advanced web application (assistant of the client), process, organisational and marketing innovation will be introduced at the Applicant. Scope of work: pre-implementation analyses, concerning the new ERP II system and virtual client advisor, implementation work, software, staff training and management. The project will fit into the B2B Business to Business, B2C Business to Consumer, B2E Business to Employee model.
Allometric Equations and Biomass Expansion Factors in an Age-sequence of Black Pine (Pinus thunbergii) Stands

This study was conducted to evaluate age-specific and generalized allometric equations and biomass expansion factors (BEFs) for each tree component across three age-sequence stands (35-year-old, 51-year-old, 62-year-old) of black pine (Pinus thunbergii Parl.) in Jinju, located in the western part of Gyeongnam province, Korea. Biomass in each tree component, i.e. foliage, branch, and stem, was quantified by destructive tree harvesting. Allometric regression equations were significant (P 0.05) from different stand ages and ranged from 0.45 to 0.51 g cm �3 , and from 1.32 to 1.38, respectively. The results indicate that allometric equations, stem density and aboveground BEFs in the matured black pine over 35-year-old are little influenced by different stand ages.
Convolutional Neural Networks for Multimodal Remote Sensing Data Classification

In recent years, enormous research has been made to improve the classification performance of single-modal remote sensing (RS) data. However, with the ever-growing availability of RS data acquired from satellite or airborne platforms, simultaneous processing and analysis of multimodal RS data pose a new challenge to researchers in the RS community. To this end, we propose a deep-learning-based new framework for multimodal RS data classification, where convolutional neural networks (CNNs) are taken as a backbone with an advanced cross-channel reconstruction module, called CCR-Net. As the name suggests, CCR-Net learns more compact fusion representations of different RS data sources by the means of the reconstruction strategy across modalities that can mutually exchange information in a more effective way. Extensive experiments conducted on two multimodal RS datasets, including hyperspectral (HS) and light detection and ranging (LiDAR) data, i.e., the Houston2013 dataset, and HS and synthetic aperture radar (SAR) data, i.e., the Berlin dataset, demonstrate the effectiveness and superiority of the proposed CCR-Net in comparison with several state-of-the-art multimodal RS data classification methods. The codes will be openly and freely available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/danfenghong/IEEE_TGRS_CCR-Net</uri> for the sake of reproducibility.
Liberal principles of Justice and Emerging Trend of Economic Liberalization: Lesson from Rawlsian Scheme of Distributive Justice

We are living in the age of so-called economic liberalization. Markets are expanding and States are voluntarily limiting their legitimate right as the only redistributing authority of resources. The money market has globalized in such a manner that state has almost lost its capacity to hold its redistributive function. Economic liberalization is one of the most dominating policy frame work which is to be pursued and institutionally concretized in many of the post-colonial societies as the legitimate and only viable alternative mechanism to regulate the distribution of resources. It has been claimed that the market is relatively far more just mechanism to distribute the legitimate share of recourses under the principle of efficiency. It is very interesting to note that the principle of efficiency has been presented in post-colonial societies as the only way to realize the principle of freedom. Because any attempt to counter the so-called policy of economic liberalization is presented as anti-liberal. However in Rawlsian frame work the principle of freedom is prior to the principle of efficiency. In this article it will be argued that in liberal conception of justice expounded by Rawls, the principle of liberty is prior to the principle of efficiency, and the distribution of resources through the myth of efficient-market-mechanism i.e. independent of State intervention and governance as redistributive authority is against the principle of liberty according to Rawls. Thus the so called economic liberalization and principle of liberty are mutually incompatible. Keywords: Distribution of Resources, Economic-liberalization, Liberalism, Market, Rawls, State.