Hierarchical Levels Research Articles

The Role of the Structure of Matter in its Dynamics and Evolution

The article is devoted to the study of the role of the structure of the body in its dynamics and evolution. A system of potentially interacting material points was used as a body model. To study the role of body structures, the equation of motion of the system was used. It is shown how it is derived from the condition of invariance of the total energy of the system. This equation takes into account that the work of external forces goes not only to change the energy of motion of the system, but also to change its internal energy. As a result, it was found that taking into account the structural nature of bodies opens up the possibility of describing the processes of their evolution within the framework of the fundamental laws of physics. Based on the condition of infinite divisibility of matter, which follows from the equation of motion of the system, the general principles of organizing the structures of matter at all its hierarchical levels are considered. Examples are given that demonstrate the importance of taking into account the role of the structure of bodies for the development of physics.

Physicians' Perceptions and Experiences Regarding Leadership: A Link Between Beliefs and Identity Formation.

Despite the development of national recommendations and training programs for effective leadership, junior and senior medical leaders often find themselves ill-prepared to take on these new responsibilities. This study aimed to explore physicians' perceptions, feelings, and beliefs regarding leadership and to provide recommendations regarding appropriate training and institutional post-training support. We conducted a qualitative study at the Geneva University Hospitals. A purposeful sample of residents (R), fellows (F), attending physicians (A), and chairpersons (CP) were invited to participate in focus groups (or semi-structured interviews) between April and June 2021. We investigated their understanding of leadership, self-perception as leaders, difficulties, and paths to improvement in their leadership skills. Focus groups were transcribed verbatim and analyzed both inductively and deductively using Fishbein's model of behavior prediction and Irby's professional identity formation framework. We conducted ten focus groups (R=3; F=4, A=2, and CP=1) and one interview (CP). Physicians expressed poor self-efficacy at all hierarchical levels: feelings of insecurity and confusion (R and F), frustration (A), and feeling stuck between divisional and institutional governance (CP). Such negative feelings were nurtured by personal beliefs with an intuitive and idealized representation of leadership. Beliefs focused more on personal characteristics rather than on skills, processes, or perceived institutional norms. Unclear expectations regarding physicians' role as leaders, overemphasis on academic achievement, and silo professional organizations fueled their feelings. Participants reported developing their leadership through trial and error, observing role models, and turning to personal resources rather than formal training. Our results show that physicians' leadership skills are still mainly acquired intuitively and that institutional norms do not encourage clarification of leadership roles and processes. Physician training in leadership skills, together with more explicit and clear institutional processes, may help to improve physicians' self-efficacy and develop their identity as leaders.

Women's preferences for HIV prevention service delivery in pharmacies during pregnancy in Western Kenya: a discrete choice experiment.

Pharmacy-delivered HIV prevention services might create more options for pregnant women to use HIV prevention tools earlier and more consistently during pregnancy. We quantified preferences for attributes of potential HIV prevention services among women of childbearing age in Western Kenya. From June to November 2023, we administered a face-to-face discrete choice experiment survey to women aged 15-44 in Kenya's Homa Bay, Kisumu and Siaya counties. The survey evaluated preferences for HIV prevention services, described by seven attributes: service location, travel time, type of HIV test, sexually transmitted infection (STI) testing, partner HIV testing, pre-exposure prophylaxis (PrEP) and service fee. Participants answered a series of 12-choice questions. Each question asked them to select one of two service options or no services-an opt-out option. We used hierarchical Bayesian modelling levels to estimate each attribute level's coefficient and understand how attributes influenced service choice. Overall, 599 participants completed the survey, among whom the median age was 23 years (IQR: 18-27); 33% were married, 20% had a job and worked regularly, and 52% had been pregnant before. Participants, on average, strongly preferred having any HIV prevention service option over none (opt-out preference weight: -5.84 [95% CI: -5.97, -5.72]). The most important attributes were the availability of PrEP (relative importance 27.04% [95% CI: 25.98%, 28.11%]), followed by STI testing (relative importance 20.26% [95% CI: 19.52%, 21.01%]) and partner HIV testing (relative importance: 16.35% [95% CI: 15.79%, 16.90%]). While, on average, participants preferred obtaining services at the clinic more than pharmacies, women prioritized the availability of PrEP, STI testing and partner HIV testing more than the location or cost. These findings suggest the importance of providing comprehensive HIV prevention services and ensuring PrEP, STI testing and partner HIV testing are available. If pharmacies can offer these services, women are likely to access those services at pharmacies even if they prefer clinics.

Mesh Neural Networks Based on Dual Graph Pyramids.

Deep neural networks (DNNs) have been widely used for mesh processing in recent years. However, current DNNs can not process arbitrary meshes efficiently. On the one hand, most DNNs expect 2-manifold, watertight meshes, but many meshes, whether manually designed or automatically generated, may have gaps, non-manifold geometry, or other defects. On the other hand, the irregular structure of meshes also brings challenges to building hierarchical structures and aggregating local geometric information, which is critical to conduct DNNs. In this paper, we present DGNet, an efficient, effective and generic deep neural mesh processing network based on dual graph pyramids; it can handle arbitrary meshes. First, we construct dual graph pyramids for meshes to guide feature propagation between hierarchical levels for both downsampling and upsampling. Second, we propose a novel convolution to aggregate local features on the proposed hierarchical graphs. By utilizing both geodesic neighbors and euclidean neighbors, the network enables feature aggregation both within local surface patches and between isolated mesh components. Experimental results demonstrate that DGNet can be applied to both shape analysis and large-scale scene understanding. Furthermore, it achieves superior performance on various benchmarks, including ShapeNetCore, HumanBody, ScanNet and Matterport3D. Code and models will be available at https://github.com/li-xl/DGNet.

FloraVeg.EU — An online database of European vegetation, habitats and flora

AbstractThis article describes FloraVeg.EU, a new online database with open‐access information on European vegetation units (phytosociological syntaxa), vegetated habitats, and plant taxa. It consists of three modules. (1) The Vegetation module includes 149 phytosociological classes, 378 orders and 1305 alliances of an updated version of the EuroVegChecklist modified based on the decisions of the European Vegetation Classification Committee. Vegetation units dominated by vascular plants are characterized by country‐based distribution maps and data on the dominant life forms, phenology, soil properties, relationships to vegetation regions, elevational vegetation belts and azonal habitats, successional status, and degree of naturalness. A list of diagnostic taxa is also provided for each class. (2) The Habitats module includes vascular‐plant‐dominated terrestrial, freshwater, and marine habitat types from the first to the third or fourth highest hierarchical levels of the EUNIS classification. Of these, 249 vegetated habitats are characterized by a brief description, a point‐based distribution map, diagnostic, constant, and dominant taxa, and a list of the corresponding alliances. (3) The Species module provides information on 37 characteristics of European vascular plant species and some infrageneric or infraspecific taxa, including functional traits (habitus and growth type, leaf, flower, fruit and seed traits, and trophic mode), taxon origin (native vs alien), and ecological information (environmental relationships, Ellenberg‐type indicator values, disturbance indicator values, and relationships to vegetation units and habitat types). Values for at least three variables are available for 36,404 species. Individual taxa, vegetation units, and habitats in these three modules are illustrated by more than 34,000 photographs. The Download section of FloraVeg.EU provides open‐access data sets in a spreadsheet format that can be used for analyses. FloraVeg.EU is a new resource with easily accessible data that can be used for research in vegetation science, ecology, and biogeography, as well as for education and conservation applications.

Preference or Eligibility? A Qualitative Inquiry into Agency and Communality in Gender, Employment Status and Hierarchical Levels in the Public and Private Banking Service Sector

This study inquired into the concept that men and women are labeled with qualities associated to their gender, employment, and hierarchical levels. The objective is to study the communal/ agentic traits by each gender in the banks in service sector of Lahore, Pakistan. The paper employed qualitative strategy with semi-structured interview to gather information and themes from purposively chosen higher management personnel in the banks in the service industry of Lahore, Pakistan. The results showed that the gender, employment statuses and various hierarchical levels have a mixture of agency and communality. However, some new insights were also found regarding organizational structure, gender and spirituality in the qualitative information which proved beneficial for the organizational structure and employment.

Акустический мутагенез в современном кабардинском языке

The article touches upon controversial issues of Adyghe etymology and semantics, as well as his-torical phonetics, concerning the nature and structure of root morphemes, which have not been comprehensively resolved to date. The existing approaches to the study of root morphemes, which have received their coverage in the works of scientists such as M.A. Kumakhov, A.K. Shagirov, N.R. Ivanokov, N.F. Yakovlev, do not seem to be definite and require clarification. This paper of-fers a different view of the problem raised and its original solution from the existing approaches. The root morphemes considered in the work, grammaticalized in diachrony, in the course of the presented etymological and semantic analysis, reveal traces of acoustic and semantic mutagenesis, which generally affects the further development of the lexical system of the language. For the first time, the term acoustic mutagenesis was introduced into scientific circulation, by which we mean the mutation of sounds in modern Adyghe and Kabardian languages while maintaining the same meaning or close to the original meaning. In the course of semantic evolution, the loss of one se-mantic meaning in the root element does not entail its consolidation in the structure of lexical in-novations, its clear state in a situation of preposition or postposition. Root morphemes, distin-guished in modern language as affixes, were at the same hierarchical level in the proto-language, and their position in the preposition only indicates their attachment to the rest of the root ele-ments, the position in the postposition indicates the opposite.

The Influence of Climatic and Geographical Conditions on the Volume and Spatial Solutions of Shopping and Entertainment Centers of the Republic of the Congo

The article examines the main climatic and geographic conditions of the Republic of Congo. It was revealed that design in the Republic of Congo is carried out in a warm and humid climate. Based on examples of analyzed construction experience in humid climates, the author made proposals for architectural techniques for organizing the space of shopping and entertainment centers at three hierarchical levels. At the urban planning level, the author proposed organizing the landscape of streets and park areas in such a way as to organize the natural drainage of water from the surface and from the upper balls of the soil. At the level of building formation, techniques are associated with organizing the collection of rainwater through the shaping of the building. The possibilities of protecting retail spaces from rain using canopies are also considered. At the spatial level, it is proposed to drain the swampy area on the territory of the shopping and entertainment center by creating canals. It is proposed to design public areas of shopping centers in such a way that public areas, using their shape, can collect surface water from rain. Further research by the author will be aimed at creating volumetric-spatial methods for organizing shopping center buildings, taking into account the warm, humid climate of the region. Also, further research will be aimed at studying the ventilation of internal open spaces of shopping and entertainment centers. These studies are aimed at creating comfortable urban hygienic conditions within the boundaries of public centers, which should become shopping and entertainment centers.

Method for synthesizing the concept of automating the system to manage personnel training processes based on categorial analysis

This paper considers a three-level system for managing personnel training within the Ministry of Defense of Ukraine. When devising the concept of automating control processes in systems of this kind, the key issue is to ensure completeness in significant aspects of the management process. Insufficient conceptual completeness compromises effectiveness of the automated system for organizational control (ASOC) and causes difficulties (impossibility) in its further modernization. A method has been proposed for formulating functional tasks (FTs) in specialized software (SSW) for ASOC based on categorical analysis in combination with the provisions of the conceptual design of automated control systems (ACS). The application of this method was demonstrated using an example of the system for managing personnel training. Categorical analysis of the management process was carried out for the strategic, operational, and tactical hierarchical levels of the system based on three dual pairs. Eight control aspects were obtained. On their basis, 79 FTs were stated for the strategic level. For the operational and tactical levels, by taking into account the specificity of training, the number of aspects was 2; FTs ‒ 204 and 195, respectively. An example has been given for two of the eight aspects of control, their interpretation and formulation of FTs for the strategic level of management. The generated FTs represent the concept of ASOC and provide, within the established boundaries of analysis, the completeness of control aspects in personnel training. The reported results are of interest in the conceptual design of large ASOC, as well as in the formation of technical specifications for software developers

We Rely on Relationships: Homeless Service Providers' Experiences in Coordinating Care Transitions During COVID-19.

Care coordination occurring across multiple sectors of care, such as when professionals in health or social service organizations collaborate to transition patients from hospitals to community-based settings like homeless shelters, happens regularly in practice. While health services research is full of studies on the experiences of case management and care coordination professionals within health care settings, few studies highlight the perspective of nonclinical homeless service providers (HSPs) in coordinating care transitions. This study explores the experience of nonclinical HSPs, employed in a large homeless service agency in New York, United States, responsible for coordinating care transitions of patients presenting to a homeless shelter after hospitalization, with attention to COVID-19 impact. Semi-structured interviews were conducted with providers at three hierarchical levels (frontline, managerial, and executive). The data were analyzed using qualitative content analysis. The implementation science framework Normalization Process Theory was used to structure semi-deductive coding categories. The findings included three major themes that highlight promoting and inhibiting factors in care coordination, including a reliance on informal relationships, the impact of strong hierarchical structures, and a lack of collaborative cross-sector information exchange pathways. Altogether, findings offer insights from an infrequently studied professional group engaging in cross-sector care coordination for a high-risk population. Operational insights can inform future research to ensure that the implementation of interventions to improve cross-sector care coordination is evidence-based. This study of nonclinical HSPs facilitating care transitions demonstrates the importance of understanding this critical provider population. Opportunities for acute care case managers and administrators include the importance of relationships, reciprocal education on the differences in work settings, and the need for administrative structure to ensure complex clinical information is effectively translated.

A sensory-motor theory of the neocortex.

Recent neurophysiological and neuroanatomical studies suggest a close interaction between sensory and motor processes across the neocortex. Here, I propose that the neocortex implements active predictive coding (APC): each cortical area estimates both latent sensory states and actions (including potentially abstract actions internal to the cortex), and the cortex as a whole predicts the consequences of actions at multiple hierarchical levels. Feedback from higher areas modulates the dynamics of state and action networks in lower areas. I show how the same APC architecture can explain (1) how we recognize an object and its parts using eye movements, (2) why perception seems stable despite eye movements, (3) how we learn compositional representations, for example, part-whole hierarchies, (4) how complex actions can be planned using simpler actions, and (5) how we form episodic memories of sensory-motor experiences and learn abstract concepts such as a family tree. I postulate a mapping of the APC model to the laminar architecture of the cortex and suggest possible roles for cortico-cortical and cortico-subcortical pathways.

Digital Transformation and Its Relationship to the Job Performance of Employees at a Private University in Peru

Background Private universities in Peru still need to implement digital transformation models to enhance the job performance of faculty and staff, achieving consistent improvement in the performance levels of university teachers by deploying technological and didactic tools for students. Therefore, the study aims to determine the relationship between digital transformation and the job performance of employees at a Private University. Methods The research approach was quantitative, employing a non-experimental, longitudinal correlational design. The technique used was a survey, applied to a sample of 104 employees (school heads, faculty, and a director) from the university on a national level from a total population of 144. Results Descriptive results reveal that the university has regularly adopted tools related to digital transformation. In particular, it has efficiently employed agile technologies, Big Data, and various technological means, benefiting 90% (52% and 38%) of the staff. The study also showed a high positive correlation (0.92>0.7) between digital transformation and the job performance of staff at the Private University, confirming that there is a significant connection between the variables studied. Conclusions Therefore, creating an innovative culture across all hierarchical levels and identifying key technologies that add value to the learning flow can meet the needs of an increasingly demanding society.

Advancing plant cell wall modelling: Atomistic insights into cellulose, disordered cellulose, and hemicelluloses – A review

The complexity of plant cell walls on different hierarchical levels still impedes the detailed understanding of biosynthetic pathways, interferes with processing in industry and finally limits applicability of cellulose materials. While there exist many challenges to readily accessing these hierarchies at (sub-) angström resolution, the development of advanced computational methods has the potential to unravel important questions in this field. Here, we summarize the contributions of molecular dynamics simulations in advancing the understanding of the physico-chemical properties of natural fibres. We aim to present a comprehensive view of the advancements and insights gained from molecular dynamics simulations in the field of carbohydrate polymers research. The review holds immense value as a vital reference for researchers seeking to undertake atomistic simulations of plant cell wall constituents. Its significance extends beyond the realm of molecular modeling and chemistry, as it offers a pathway to develop a more profound comprehension of plant cell wall chemistry, interactions, and behavior. By delving into these fundamental aspects, the review provides invaluable insights into future perspectives for exploration. Researchers within the molecular modeling and carbohydrates community can greatly benefit from this resource, enabling them to make significant strides in unraveling the intricacies of plant cell wall dynamics.

Ecological consequences of hidden pathology by larval digeneans in South American mollusks

The study of digeneans and their association with mollusks commenced in Europe and South America during the mid-19th to early 20th centuries. Digenean infestation can severely degrade host tissue, leading to diminished energy resources and eventual host mortality. However, these parasites can also induce various non-lethal effects, including changes in growth rates, survival rates, and reproductive capabilities, alongside physiological and behavioral alterations. While numerous studies have explored the ecological effects of digeneans on hosts in Europe and North America, our understanding of these dynamics in South America, particularly in first intermediate hosts, remains limited. Therefore, this paper aims to provide an overview of ecological investigations into digenean-mollusk systems in South America, emphasizing the importance of robust sampling designs and statistical analyses to address key ecological inquiries. Although fascinating examples exist of parasitism influencing different hierarchical levels of digenean-mollusk systems, particularly at the individual, population, and community levels, documentation of their ecosystem-level impacts is comparatively sparse. As South American studies of digenean-mollusk systems from an ecological perspective are still in their early stages, there is immense potential for uncovering unique ecological patterns in this largely unexplored region, propelling us toward further developmental strides in the parasite ecology.

How to apply the four-step model for 150,000 travel zones: The HIPAT model

Current European transport demand models following the classical four-step approach are less suitable for analysing the traffic volumes on inter-regional road infrastructure with relevant demand of regional trips, as they consider only about 10% of the trip demand with passenger cars. Mainly due to runtime problems, these models are limited to operation at the NUTS-3 level. This level comprises around 1500 regions for Europe with an average diameter of about 50km. However, more than 90% of the trips are shorter than 50km and are, therefore, not adequately considered in the trip distribution model and the trip matrix. Computing this matrix at a higher spatial resolution, such as the LAU-2 level, is not possible as the runtime of the overall model and the size of the trip matrix increase quadratically with the number of travel zones. In the HIPAT model, this obstacle is overcome by an innovative concept operating at different hierarchical levels. This reduces the complexity of the trip matrix, such that the HIPAT model can be applied at large scale for 150,000 travel zones without any runtime problems. This is demonstrated by a prototype implementation for a case study that handles 33,000 travel zones in two minutes. In addition, the limitations of applying NUTS-3-based travel zones for transport modelling are shown: 94.6% of the trips are shorter than the average diameter of the travel zones (50km) and are therefore not correctly represented by the model. Smaller travel zones decrease this number and provide a better basis for analysing infrastructure policies and, ultimately, for decision-making.

Comparative Study of Two Himalayan Snow Trouts, Schizothorax esocinus and Schizothorax curvifrons Within the Schizothoracinae and Other Nearest Relatives of Cyprinidae, Inferred from Mitochondrial Sequences of Cytochrome b (Cyt-b) and Cytochrome Oxidase I (Co-I) Gene.

The Himalayan region encompasses varied aquatic ecosystems, characterized by the presence of diverse ichthyofauna, particularly represented by members of the Schizothorax genus, commonly referred to as snow trout. The primary objective of this work was to examine the molecular phylogeny of Schizothoracinae, specifically focusing on the two species, Schizothorax esocinus and Schizothorax curvifrons, which are known to inhabit the northern and north-eastern regions of the Himalayas. This investigation was conducted by analyzing the entire mitochondrial Cyt-b and Co-I gene sequences. The aligned Cyt-b and Co-I sequences for S. esocinus, S. curvifrons, and related members within the subfamily Schizothoracinae, spanned 1130 to 1141 and 1536 to 1551 base pairs, respectively. Using these gene, phylogenetic trees were created to compare Schizothoracinae species to other subfamilies of the family Cyprinidae (Barbinae, Alburninae, Leuciscinae, Xenocyprinae, Cyprininae, and Cultrinae). Genetic distances for Cyt-b and Co-I sequence at three hierarchical levels shows significant disparities in their average score. For Cyt-b, average p-distances for intraspecies, intragenus, and intrafamily were 2.13%, 4.1%, and 15.23%, respectively. Similarly, for Co-I, average p-distances were 1.19%, 3.6%, and 13.8% for intraspecies, intragenus, and intrafamily, respectively. Total number of haplotypes (h) based on Cyt-b and Co-I gene were 6 and 12 within the target Schizothorax spp. In the present study, the observed range of haplotype diversity (hd) for the Cyt-b gene varied from 0.00 to 0.847, with an average haplotype diversity of 0.847 ± 0.034. Similarly, for the Co-I gene, the observed haplotype diversity ranged from 0.00 to 0.931, with an average value of haplotype diversity estimated to be 0.931 ± 0.024. The results of the present study clearly shows that the representative species exhibited close affinities with members of Barbinae and Cyprininae, while other subfamilies formed distinct groups. The findings of the study also indicated that the Cyt-b and Co-I gene exhibits polymorphism and has the potential to serve as a marker for identifying genetic differentiation among populations based on ecological habitats. Mitochondrial Cyt-b and Co-I have been established as a universally accepted and validated genetic marker within a comprehensive bio-identification system at the species level.

Conservation genetics of the endangered California Freshwater Shrimp (Syncaris pacifica): watershed and stream networks define gene pool boundaries

Understanding genetic structure and diversity among remnant populations of rare species can inform conservation and recovery actions. We used a population genetic framework to spatially delineate gene pools and estimate gene flow and effective population sizes for the endangered California Freshwater Shrimp Syncaris pacifica. Tissues of 101 individuals were collected from 11 sites in 5 watersheds, using non-lethal tissue sampling. Single Nucleotide Polymorphism markers were developed de novo using ddRAD-seq methods, resulting in 433 unlinked loci scored with high confidence and low missing data. We found evidence for strong genetic structure across the species range. Two hierarchical levels of significant differentiation were observed: (i) five clusters (regional gene pools, FST = 0.38–0.75) isolated by low gene flow were associated with watershed limits and (ii) modest local structure among tributaries within a watershed that are not connected through direct downstream flow (local gene pools, FST = 0.06–0.10). Sampling sites connected with direct upstream-to-downstream water flow were not differentiated. Our analyses suggest that regional watersheds are isolated from one another, with very limited (possibly no) gene flow over recent generations. This isolation is paired with small effective population sizes across regional gene pools (Ne = 62.4–147.1). Genetic diversity was variable across sites and watersheds (He = 0.09–0.22). Those with the highest diversity may have been refugia and are now potential sources of genetic diversity for other populations. These findings highlight which portions of the species range may be most vulnerable to future habitat fragmentation and provide management consideration for maintaining local effective population sizes and genetic connectivity.

The relationship between event boundary strength and pattern shifts across the cortical hierarchy during naturalistic movie-viewing.

Our continuous experience is spontaneously segmented by the brain into discrete events. However, the beginning of a new event (an event boundary) is not always sharply identifiable: phenomenologically, event boundaries vary in salience. How are the response profiles of cortical areas at event boundaries modulated by boundary strength during complex, naturalistic movie-viewing? Do cortical responses scale in a graded manner with boundary strength, or do they merely detect boundaries in a binary fashion? We measured "cortical boundary shifts" as transient changes in multi-voxel patterns at event boundaries with different strengths (weak, moderate, and strong), determined by across-subject agreement. Cortical regions with different processing timescales were examined. In auditory areas, which have short timescales, cortical boundary shifts exhibited a clearly graded profile both in group-level and individual-level analyses. In cortical areas with long timescales, including the default mode network, boundary strength modulated pattern shift magnitude at the individual subject level. We also observed a positive relationship between boundary strength and the extent of temporal alignment of boundary shifts across different levels of the cortical hierarchy. Additionally, hippocampal activity was highest at event boundaries for which cortical boundary shifts were most aligned across hierarchical levels. Overall, we found that event boundary strength modulated cortical pattern shifts strongly in sensory areas and more weakly in higher-level areas, and that stronger boundaries were associated with greater alignment of these shifts across the cortical hierarchy.

Outlier classification for microbiological open set recognition

Precise detection and effective intervention of pathogenic microorganisms are pivotal to ensure crop yield. Traditional open set recognition methods distinguish unknown classes, i.e., those not involved in training, as outliers or separate classes, which is insufficient for real-world applications like recognizing airborne microorganisms and particles. In this paper, a new setting for the classification of outliers for open set recognition is proposed. The proposed method classifies unknown classes while achieving the classification of known classes, treating each category in the open set equally. The two cores of the method are hierarchical feature representation and feature gallery construction. To enhance the feature representation, this paper proposes a novel architectural module of spatial attention on region hierarchy, namely SPARC. This module extracts features from hierarchical levels and models spatial interaction through the attention mechanism. With the induction of local-to-global description, minute differences with ambiguous appearances between classes can be detected, and the negative effects of image quality degradation can be ameliorated. Furthermore, a feature gallery containing the feature representation from both known and unknown classes is developed for feature retrieval. To demonstrate the effectiveness of the proposed model, the first dataset composed of agricultural microorganisms, named SMAD, is constructed, and experiments are conducted on existing datasets and the newly proposed SMAD dataset. The experimental results outperform the prior art on these datasets under both the outlier rejection and outlier classification settings.

Bridging the Digital Divide: Developing Local Digital Heritage Content and Investigating Localized Digital Solutions

Abstract The digital divide, in my view, is not only created due to the lack of local contents but also due to the fact that few digital contents from local sources are found in the digital libraries of higher education in Ethiopia. Likewise, the creation and dissemination of local contents could be facilitated not only by the presence of local digital contents but also by the presence of usable digital technology at a local level. This article aims to give a practical solution to bridging the digital divide by unlocking local heritage knowledge through creating digital contents from locally grown literary heritage as well as by developing a localised digital library system. Therefore, this article presents the research processes and results that were undertaken to unlock local heritage knowledge and developed the localised digital library system: customising a free and open-source software; digitising and translating the local literary heritage contents; and building the digitised and translated literary heritage contents into the localised digital libraries, which Greenstone digital library software was used to customise into local use. The English version of the Greenstone user interface (macro files) was translated into the Tigrinya language, one of the locally spoken languages in Ethiopia. For translation purposes, a list of suitable and compatible Tigrinya words and phrases that basically fit with the meaning of the English version of the Greenstone spreadsheet was developed. As a result of this translation work, the Tigrinya language interface has become one of the languages that are included in Greenstone digital library software version 2.83 for the first time (Language short name=ti “long name=ትግርኛ (Tigrinya)” default encoding=utf-8). To unlock the heritage knowledge and build the localised digital library with local digital collections, a sample of Ethiopia’s ancient Ge’ez parchment manuscripts were digitised and translated into Tigrinya and English languages. To facilitate the retrieval of information and to be easily recognised by internet search engines in the Tigrinya language, a local specific metadata standard for Ethiopia’s ancient Ge’ez parchment manuscripts was developed at three hierarchical levels, at manuscript level, at chapter level and at page level, with each translated page tagged using HTML. To facilitate the link between the translated text and the corresponding digital image, an “item” file was created using a WordPad. As a result, three collections were built into the customised digital library: the digitised image of the Abushakir manuscript as well as the Tigrinya and English translated texts of the same manuscripts. The functionality and usability of the localised digital system was tested by searching keywords and browsing titles from the built collection of the Tigrinya text and the original digital image of the manuscript. The result of this test shows that the localised digital library system is capable of allowing end-users to discover the information they want at the granular level from digital content of the local literary heritage. Therefore, further manuscript collection through digitisation, translating into local language and building the digitised collection into this localised digital library system is necessary for wider access to the local literary heritage digital content and for bridging the digital divide in the long-term.