Bilingual Publishing Co. (BPC): E-Journals
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A Natural Language Generation Algorithm for Greek by Using Hole Semantics and a Systemic Grammatical Formalism
This work is about the progress of previous related work based on an experiment to improve the intelligence of robotic systems, with the aim of achieving more linguistic communication capabilities between humans and robots. In this paper, the authors attempt an algorithmic approach to natural language generation through hole semantics and by applying the OMAS-III computational model as a grammatical formalism. In the original work, a technical language is used, while in the later works, this has been replaced by a limited Greek natural language dictionary. This particular effort was made to give the evolving system the ability to ask questions as well as the authors developed an initial dialogue system using these techniques. The results show that the use of these techniques the authors apply can give us a more sophisticated dialogue system in the future
Exploring Variability in Sea Level at a Tide Gauge Station through Control Charts
Monitoring temporal changes in sea level is important in assessing coastal risk. Sea level anomalies at a tide gauge station, if kinematically conceived, include systematic variations such as trend, acceleration, periodic oscillations, and random disturbances. Among them, the non-stationary nature of the random sea level variations of known or unknown origin at coastal regions has been long recognized by the sea level community. This study proposes the analyses of subgroups of random residual statistics of a rigorously formulated kinematic model solution of tide gauge variations using X-bar and S control charts. The approach is demonstrated using Key West, Florida tide gauge records. The mean and standard errors of 5-year-long subgroups of the residuals revealed that sea level changes at this location have been progressively intensifying from 1913 to the present. Increasing oscillations in sea level at this locality may be attributed partly to the thermal expansion of seawater with increasing temperatures causing larger buoyancy-related sea level fluctuations as well as the intensification of atmospheric events including wind patterns and the impact of changes in inverted barometer effects that will alter coastal risk assessments for the future
Editorial for Advances in Geological and Geotechnical Engineering Research: Vol. 5 Issue 4 (2023)
Effects of Water Stress on Growth and Chlorophyll Contents of Ocimum gratissimum L. (Basil) [Lamiaceae]
Ocimum gratissimum is an essential plant because of its wide food and medicinal usage. Despite its relevance, its morpho-physiological compositions are influenced by several abiotic stresses. Hence, this study examined the effects of water stress on the growth and chlorophyll contents of O. gratissimum. Seedlings of O. gratissimum were grown in twenty-four pots, two per pot and were arranged using a complete randomized design with four groups: Very Wet O. gratissimum (VWO), Moderately Water Stress O. gratissimum (MWSO), Strongly Water Stress O. gratissimum (SWSO) and Adequately Watered O. gratissimum (AWO) as control. Fifty centiliters of water was applied in AWO once daily, VWO twice daily, MSWO once in three days and SWSO once a week. Growth parameters: Stem height, number of leaves, leaf area, stem girth and petiole length were determined one week after treatment for six weeks. Chlorophyll contents were determined at two weeks intervals after treatment for eight weeks. Descriptive statistics such as mean±standard deviation and one-way Analysis of Variance (p < 0.05) were done using SAS software. Results obtained showed the highest mean stem height (27.50 ± 0.29 cm), number of leaves (37.00 ± 9.0), leaf area (735.7 ± 4.12 cm2), stem girth (0.40 ± 0.00 cm) and petiole length (7.20 ± 0.40 cm) in VWO. Similar results were obtained for chlorophyll (56.70 ± 0.65 mg–1). It could be concluded that regular watering of O. gratissimum could promote growth and increase chlorophyll contents of the plant
Diversity of Endophytic Fungi in Banana Cultivars of Assam India
Endophytic fungal isolates (139 no.) were obtained from 143 (62 roots, 18 fruits and 54 leaves) samples of 15 different varieties of banana collected from 10 sites in Assam, India during 2018-2019. Overall isolation frequency from surface-sterilized tissue ranged from 10%-80% (as per site) and 6%-70% (as per variety of banana). All isolates were segregated into 40 different types on the basis of macromorphological and micro morphological characteristics. Forty different fungal taxa were isolated belonging to 14 genera including Absidia, Arthrinium, Aspergillus, Bipolaris, Cladosporium, Curvularia, Dendrophion, Fusarium, Humicola, Mortierella, Mucor, Penicillium, Paecilomyces, Verticillium and one mycelium sterile. Among them, Cladosporium cladosporioidies and Paecilomyces sp. frequently occurred in most of the sites surveyed whereas Cladospoirum cladosporioides and Aspergillus sp. 8, Fusarium graminseram were most frequently isolated from different varieties. However, all sites differed in their fungal diversity. Banana samples from Narigoan and Jorhat have been found with maximum fungal species followed by marigoan samples so as to Banana varieties Amrit Sagar endowed 27 no. of fungi followed by Jehaji and Honda which were associated with a maximum 14 fungal sp. Isolation frequency and relative abundance of Cladosporium cladosporiodes (80%, 4.6), Paecilomyces farinosus (80%, 4.6) followed by Penicillium ruburm, Aspergillus sp. 8 & 9 (70%, 4.02) were recorded as maximum comparatively in different sites. However, Aspergillus sp. 8, Mortieralla sp. and Pacilomyces farinosus are isolated frequently from different banana varieties (73.33%, 4.93)
Species Distribution and Patterns in a Forest-savannah Ecotone: Environmental Change and Conservation Concerns
Understanding the dynamics and patterns of biodiversity in transition forests is vital in promoting conservation and addressing environmental change issues. This work focused on elucidating the diversity, structure, and carbon potentials of a forest-savannah ecosystem. To achieve this, 8 forest plots that measured 50 m × 50 m each was set up in a forest-savannah landscape and used to identify and measure tree species ≥ 10 cm diameter at breast height (DBH measured at 130 cm). Species importance value was used to summarize the biodiversity patterns and the aboveground carbon estimates were elicited with the allometric equation. 43 species within 22 families were enumerated and the diversity was generally low (ranging from 1.82-2.5). Species such as Daniellia oliveri (Rolfe) Hutch. & Dalziel, Pyrostria guinnensis Comm. ex A. Juss, Dialium guineense Willd. and Margariteria discoidea (Baill.) G.L Webster were the dominant species, and had the highest importance values of 113.06, 55.13, 28.16 and 16.95, respectively, while Allophlus africanus P. Beauv., Annona senegalensis Pers., Anthonatha macrophylla P. Beauv., Ficus capensis Thumb. and Lecaniodiscus cupanioides Planch had the least importance values of 0.16 each. Carbon estimates ranged from 16.43172-42.9298 t/Ha. Most frequent species with higher basal areas no doubt contributed much to the carbon estimates, but did not have higher capacities in storing carbon. Managing the ecosystem with more carbon-dense species was seen as a suitable strategy for addressing environmental change in the ecosystem and region.
Perception of the Residential Environmental Quality of Yenagoa Metropolis, Nigeria
Residential environmental quality (REQ) affects human health and quality of life (QoL). Therefore, this study as sessed residents’ perception of the REQ of the Yenagoa metropolis. Data for the study were sourced from the 400 administered questionnaires, which required respondents to rate their REQ based on seven selected indicators (air quality, drinking water quality, housing location, sanitation, waste management, housing accessibility and noise pollution). The respondents were sampled using the multistage sampling technique. The data were analyzed using frequency, percent age, t-test, ANOVA and REQ model. The findings show that the overall calculated REQ of Yenagoa was classified as “good quality". The best-rated indicator was drinking water quality, while the least-rated was noise pollution. Ratings based on respondents' sex, income and educational status recorded similar results. Also, the respondents' perception of the REQ across the four zones was similar as the calculated ratings of all the zones fell under the "good quality" classification. Furthermore, the hypotheses tested revealed that there were no significant differences in the perception of the REQ by sex and income status, while significant variation exists by education status. Despite the general "good quality" rating, there is still room for improvement, especially in the areas of noise pollution, sanitation and housing location, which received relatively low ratings
SGT: Session-based Recommendation with GRU and Transformer
Session-based recommendation aims to predict user preferences based on anonymous behavior sequences. Recent research on session-based recommendation systems has mainly focused on utilizing attention mechanisms on sequential patterns, which has achieved significant results. However, most existing studies only consider individual items in a session and do not extract information from continuous items, which can easily lead to the loss of information on item transition relationships. Therefore, this paper proposes a session-based recommendation algorithm (SGT) based on Gated Recurrent Unit (GRU) and Transformer, which captures user interests by learning continuous items in the current session and utilizes all item transitions on sessions in a more refined way. By combining short-term sessions and long-term behavior, user dynamic preferences are captured. Extensive experiments were conducted on three session-based recommendation datasets, and compared to the baseline methods, both the recall rate Recall@20 and the mean reciprocal rank MRR@20 of the SGT algorithm were improved, demonstrating the effectiveness of the SGT method
Introduction to Thermo-Photo-Electronics
Building the foundations of Thermo-Photo-Electronics became possible only after the correction of thermodynamic errors in the traditional theory of semiconductor Electronics and Photo-Electronics. It is these errors that determined the output of the asymptotics of the operating parameters of semiconductor electronic devices, in particular, both the saturation of the limiting clock frequency of processors, and the saturation of the efficiency of both thermoelectric and photoelectric converters. But in semiconductors, although these thermodynamic errors manifested themselves not only in the instrumental, but also in the technological aspect, they could not prohibit semiconductor Electronics itself, unlike Electronics based on other materials. It’s just that a number of qualitative mistakes were made in the theory of semiconductor devices and photo devices. In this work, it is shown that the energy band diagram of semiconductor contacts itself was constructed with a significant omission—without taking into account the temperature force on the contact. At the same time, because of the incorrect calculation of currents according to the outdated formulas of Richardson-Langmuir-Deshman, there were also PROHIBITIONS. So the practitioners compensated for the errors of the theory with “empirical corrections”. So electronics engineers often made devices not according to a strict theory (which simply did not exist until now), but on a hunch and according to empirical local laws. And only the correction of the historical mistakes made it possible to expand the phenomenology of the description of processes in a Solid Body, on the basis of which it is possible to make calculations of highly efficient elements of Photo-Thermo-Electronics
Attitudes About Cryptocurrency Incentives for Research Participation
It is essential to continually assess and find new ways to recruit and retain participants for research studies. Cryptocurrency is growing in popularity and may be a novel way to incentivize research participants. 100 participants, 50 of whom already had a cryptocurrency wallet and 50 of whom did not have a cryptocurrency wallet, were recruited through Facebook ads and completed a survey that asked about their experience with cryptocurrency and non-fungible tokens (NFTs) and potential interest in use of it for compensating research participants. The majority of respondents (79%) had some experience with cryptocurrency and 85% said they were comfortable trading cryptocurrency. Many participants had exchanged cryptocurrency within the past month (62%) and over their lifetime (70%). Respondents, however, were less familiar with NFTs, with only half having some experience with them. 18% of those without a cryptocurrency wallet and 42% of those with a cryptocurrency wallet chose to be compensated by cryptocurrency and NFT. Results suggest that, although cash and gift card incentives are preferred, there is an interest in cryptocurrency and NFTs. More studies will need to be done on a larger sample size and some of the challenges discussed (like cryptocurrency volatility) need to be addressed