Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating the Effect of Policies, Vehicle Attributes and Charging Infrastructure on Electric Vehicles Diffusion in Kathmandu Valley of Nepal

This paper outlines the electric vehicle development trajectory and examines the principal factors that can uplift the growth of electric vehicles and contribute to future market share of electric vehicle based on public expectations from government in terms of vehicle infrastructure and attributes, situation and policies. Public’s expectations, their willingness and attraction towards electric vehicles has been understood based on various questionnaire posed to them in the online public response survey. Current status of electric vehicles has been obtained and policy study in promotion of electric vehicles in India, China and Bhutan has been studied to incorporate the major factor contributing to inﬂuence the promotion of electric vehicles in Nepalese vehicle market. In this paper, the System Dynamics Model has been selected for evaluating electric vehicle growth based on vehicle attributes, government policies charging infrastructure. Public and electric vehicle promoter acceptability survey has been performed and the importance and attractiveness of electric vehicles under key factors has been determined. The number of future electric vehicles in market of Kathmandu has been forecasted to reach nearly 10, 00,000 within three years and remains constant. During the course of this research, a unique electric vehicle diffusion model, which is an adaptation of Struben and Sterman model, has been developed. This model is relevant to Nepalese electric vehicle market and social structure and hence is expected to work better than the former one, at least in context of Nepal.
ANALYSIS AND CONCENTRATION OF LIGHT HYDROCARBONS IN DRY NATURAL GAS AND ITS APPLICATION——A CASE STUDY ON GAS-SOURCE ROCKS CORRELATIONS IN THE EAST AND NORTHEAST OF SICHUAN BASIN

The way of analysis and concentration of light hydrocarbons in dry natural gas is briefly introduced in this article. After the analysis and concentration of nine natural gas samples from the East and the Northeast of Sichuan basin, their chromatographic diagrams are attained. Based on the above experimental results, some properties and parameters of light hydrocarbons in the dry natural gas are studied, which include correlations of light hydrocarbons chemical compositions, relative contents of nC_(7)? MCC_(6) and DMCC_(5) in C_(7)-light hydrocarbons, lipoid compositions of C_(6+7)-light hydrocarbons, value of heptane(H) and isoheptane(I), Mango parameters(K_(1)? K_(2))and so on. The genetic types and maturity of the natural gas are discussed in term of these characteristics and parameters. Gas-gas and gas-source rock correlations are also studied. It is supposed that the natural gas of the northeast of Sichuan Basin mainly origin from the Permian source rocks. On the contrary, at Jiannan gas field in the east of Sichuan Basin, the origin of gas is complex. The natural gas from Carboniferous is the secondary cracking gas dissolved in the groundwater, whose source rocks are Silurian and Cambrian. The natural gas from the Permian and Triassic can be described as the mixture of thermogenic gas from Permian source rocks and gas dissolved in groundwater from secondary cracking of oil derived form Silurian and Cambrian source rocks.
Annotated New Text Engine Animation Animation Lexicon Animation Gesture Profiles MR : . . . JL : . . . Gesture Generation Video Annotated Gesture Script

Animated characters that move and gesticulate appropriately with spoken text are useful in a wide range of applications. Unfortunately, this class of movement is very difficult to generate, even more so when a unique, individual movement style is required. We present a system that, with a focus on arm gestures, is capable of producing full-body gesture animation for given input text in the style of a particular performer. Our process starts with video of a person whose gesturing style we wish to animate. A tool-assisted annotation process is performed on the video, from which a statistical model of the person’s particular gesturing style is built. Using this model and input text tagged with theme, rheme and focus, our generation algorithm creates a gesture script. As opposed to isolated singleton gestures, our gesture script specifies a stream of continuous gestures coordinated with speech. This script is passed to an animation system, which enhances the gesture description with additional detail. It then generates either kinematic or physically simulated motion based on this description. The system is capable of generating gesture animations for novel text that are consistent with a given performer’s style, as was successfully validated in an empirical user study.
Boosting collective intelligence in medical diagnostics: Leveraging decision similarity as a predictor of accuracy when answers are open-ended rankings

Leveraging collective intelligence and combining several decisions into a single one can outperform individual judgments in many domains. Additionally, distinguishing between high-performing and low-performing individuals can further boost accuracy and is especially important in high-stake contexts. In binary decision problems it has been shown that decision similarity to others is a predictor of accuracy and can be used to identify high performers even if no actual track record of performance is available. Here we apply and generalize this approach to open-ended medical di-agnostics where diagnoses are given in the form of free-text, and incomplete rankings of varying length. We show that selecting decision makers based on prior decision similarity to others increases the average accuracy of both individual and collective diagnoses.
Utilización de formaldehido para la erradicación de hongos micorríticos arbusculares de muestras de suelo

-1 . Colonization of G.claroideum in tall fescue inoculated plants growing within the formaldehyde disinfected soil reached about 30 %, being three fold higher than native mycorrhizal plants. Formaldehyde did not negatively affect tall fescue and wheatgrass growth. In addition, it showed both indigenous and G. claroideum mycorrhizal benefit. Formaldehyde fumigated soil can be used for propagation of AMF inoculum. More research on formaldehyde effects on the development of soil microorganisms other than mycorrhizal must be further developed.
Graphics and Visual Computing

The design of correct topological modeling operations is known to be a time-consuming and challenging task. However, these operations are intuitively understood via simple drawings of a representative object before and after modification. We propose to infer topological modeling operations from an application example. Our algorithm exploits a compact and expressive graph-based language. In this framework, topological modeling operations on generalized maps are represented as rules from the theory of graph transformations. Most of the time, operations are generic up to a topological cell (vertex, face, volume). Thus, the rules are parameterized with orbit types indicating which kind of cell is involved. Our main idea is to infer a generic rule by folding a graph comprising a copy of the object before modification, a copy after modification, and information about the modification. We fold this graph according to the cell parametrization of the operation under design. We illustrate our approach with some subdivision schemes because their symmetry simplifies the operation inference. © 2022TheAuthor(s). PublishedbyElsevierLtd.ThisisanopenaccessarticleundertheCCBYlicense (http
Designing Low Power Subthreshold Logic Circuits Using AFE

: The present scenario the circuit subthreshold CMOS logic circuits are becoming increasingly popular energy-constrained applications where high performance is not required. Minimum energy consumption of digital logic circuits can be obtained by operating in the subthreshold regime. However, in this regime process variations can result in up to order of magnitude variations in I ON / I OFF ratios leading to timing errors, which can have a destructive effect on the functionality of the subthreshold circuits. These timing errors become more frequent in scaled technology nodes where process variations are highly prevalent. Therefore, mechanisms to mitigate these timing errors while minimizing the energy consumption are required. In this proposed work, Low power subthreshold logic circuits using adaptive feedback equalizer circuit is designed. The adaptive equalizer technique is used with a sequential digital logic to mitigate the process variation effects and reduce the dominant leakage energy components in the subthreshold digital logic circuits. The performance of the proper circuit is evaluated for different input voltages. This work can be extended by the scaling down the technology to reduce the minimum power consumption.
Bridging the Communication Gap between ML Engineers and Data Enrichment Workers

Human-annotated and -validated data remains a core component of machine learning (ML) model development. Yet, a significant portion of the expertise gathered by data enrichment workers goes undocumented, largely because the appropriate tools are lacking and there's no platform for their voices to be acknowledged. We introduce a series of prototypes that allow these workers to convey their findings, ensuring they are engaged in a dialogue with ML developers, rather than being overlooked.
Advance Flood Inundation Model Toward Flood Nowcasting: A Review

Flood nowcasting is a short time prediction (usually less than 3 h) of the spatial and temporal evolution of flood inundation. Typical flood nowcasting consists of several elements, namely data collection system, rainfall forecasting, flood simulation tools, decision support tools and warning process system. Many studies related to the nowcasting system focused on rainfall forecasting but lack of attention towards the flood simulation tool (also known as flood inundation model) in the nowcasting system. This paper reviews the theoretical and functional basis of the recent flood inundation model to meet the need of the flood nowcasting system. The discussion includes factors that contribute to the performance and capabilities of the flood inundation simulation, comparisons of some models, issues in flood inundation modeling related to the flood nowcasting system and future prospects of the flood inundation model.
International Journal of Disaster Risk Reduction

The value of social media in crises, disasters, and emergencies across different events, participants, and states has been examined in crisis informatics research. While some studies examined social media use representatively for their target audience, these usually only comprise a single point of inquiry and do not allow for a trend analysis. This work provides results (1) of a representative survey with German citizens from 2021 on use patterns, perceptions, and expectations regarding social media during emergencies. Furthermore, it (2) uses longitudial data and compares these results to previous surveys and provides insights on temporal changes and trends from 2017, over 2019 to 2021. Our findings highlight that social media adoption in emergencies increased in 2021 and 2019 compared to 2017. Between 2019 and 2021, the amount of information shared on social media remained on a similar level, while the perceived disadvantages of social media in emergencies significantly increased. In light of demographic variables, the results of the 2021 survey confirm previous findings, according to which older individuals (45+ years) use social media in emergencies less often than younger individuals (18 – 24 years). Furthermore, while the quicker availability of information was one of the reasons for social media use, especially the potential information overload was a key factor for not using social media in emergencies. The re-sults are discussed in light of the dynamic nature of attitudes regarding social media in emergencies and the need to account for heterogeneity in user expectations to build trustworthy information ecosystems in social media.
The role of commitment to supervisor on organizational justice and citizenship among Iranian employees

The current study examined the relationship between commitment to supervisor, organizational justice, and organizational citizenship behavior among Iranian employees working at private and public companies. 160 employees from various organizations across industries were used to test the hypotheses in this study. Participants completed three questionnaires related to the variables in this study. Results were in congruity with the findings of the previous research, that organizational justice was positively correlated with both commitment to supervisor and organizational citizenship behavior. The results of the current study have important implications for organizations in that the impact of the relationship formed between a supervisor/manager and their employees can have far reaching implications for overall organizational functioning and ultimately organizational profitability.
Study of Construction a Technical Device Named Walking Stick for the Blind Using GPS

: Generally, blind people use a traditional cane (known as white cane) for moving from one place to other. Although, white cane is the international symbol of blindness, it could not help them to detect place and to avoid obstacles. In this paper, we represent a model of walking stick for blind people. It consists of GPS module, GPS Antenna, Arduino, IR sensor and buzzer. This stick can detect place and obstacles. Position detection part is done with GPS module and GPS antenna. IR sensor is used for detecting obstacles. Here, the buzzer produces two types of sound. When the blind reaches to his destination, buzzer buzzes continuously. When the blind faces any obstacles, buzzer buzzes discontinuously. By hearing this two types of sound, blind can be confirmed about his destination and also can avoid obstacles in front of him. The whole system is designed to be small, light and is used in conjunction with the white cane so that it could ensure safety of the blind.
Study on application of some organic matters and drought stress on agronomic traits and yield of lemon balm (Melissa officinalis)

The objective of the current study was to study the effect of drought stress and organic nutrition on quantity and quality of lemon balm (Melissa officinalis). Lemon balm is a perennial herbaceous herb which is extensively used in pharmaceutics and food industries. Given that province of Kerman, Iran, is an arid region, the current study was so important because of the limitation of water resources. The study was carried out in Kerman, Iran in 2008 as a split-plot experiment based on a randomized complete block design with three replications. The main plots included drought stress at two levels of stress and no-stress and the sub-plots included organic fertilization treatments at five levels of three types of green manure (vetch, alfalfa, clover) and decomposed (cattle) manure with the amount of 30 t.ha -1 . The drought stress was created by changing irrigation interval. The measured traits included plant height, single-plant leaf number, single-plant stem and leaf dry and fresh weight, single-plant fresh and dry weight, leaf:stem ratio, leaf length and width and finally, leaf area. The data were analyzed and the means were compared by Duncan’s multiple range test. The results showed that the effect of green manures was significant on leaf number, leaf fresh weight, stem fresh weight, leaf dry weight, plant fresh weight and leaf area. Plant yield had the highest correlation with leaf number, plant height, plant fresh weight and stem fresh weight. The highest plant yield was obtained under cattle manure and alfalfa green manure treatment. The effect of drought stress was significant on treatments.
Working Harder but not Smarter: Experimental Results on the Effects of Collective Intelligence Awareness

A growing number of studies have demonstrated that collective intelligence is an important factor in team success. Recent studies have also demonstrated the utility of real-time collaborative process metrics for measuring and predicting collective intelligence as teams work together, opening the possibility of their use to guide interventions to improve team performance. We report the results of an experiment in which teams collaborated on a search and rescue task online while some were randomly assigned to see real-time displays of their team’s collective effort – the collaborative process metrics our pilot studies showed most strongly predicted task performance. However, we find that providing this information does not reliably improve team performance, in some cases leading teams to alter behavior to maximize effort to the detriment of other processes and performance. We discuss the implications of our results for the design of digital nudges as interventions into collaborative processes and collective intelligence.
A Modeling Study of Hydrodynamic Circulation in a Fjord of the Pacific Northwest

Increased eutrophication and degraded water quality in estuarine and coastal waters have been a worldwide environmental concern. While it is commonly accepted that anthropogenic impact plays a major role in many emerging water quality issues, natural conditions such as restricted water circulations controlled by geometry may also substantially contribute to unfavorable water quality in certain ecosystems. To elucidate the contributions from different factors, a hydrodynamic-water quality model that integrates both physical transport and pollutant loadings is particularly warranted. A preliminary modeling study using the Environmental Fluid Dynamic Code (EFDC) is conducted to investigate hydrodynamic circulation and low dissolved oxygen (DO) in Hood Canal, a representative fjord in the U.S. Pacific Northwest. Because the water quality modeling work is still ongoing, this paper focuses on the progress in hydrodynamic modeling component. The hydrodynamic model has been set up using the publicly available forcing data and was calibrated against field observations or NOAA predictions for tidal elevation, current, salinity and temperature. The calibrated model was also used to estimate physical transport timescales such as residence time in the estuary. The preliminary model results demonstrate that the EFDC Hood Canal model is capable of capturing the general circulation patterns in Hood Canal, includingmore » weak tidal current and strong vertical stratification. The long residence time (i.e., on the order of 100 days for the entire estuary) also indicates that restricted water circulation could contribute to low DO in the estuary and also makes the system especially susceptible to anthropogenic disturbance, such as excess nutrient input. « less
Feedback on Student Programming Assignments: Teaching Assistants vs Automated Assessment Tool

Existing research does not quantify and compare the differences be-tween automated and manual assessment in the context of feedback on programming assignments. This makes it hard to reason about the effects of adopting automated assessment at the expense of manual assessment. Based on a controlled experiment involving N=117 undergraduate first-semester CS1 students, we compare the effects of having access to feedback from: i) only automated assessment, ii) only manual assessment (in the form of teaching assistants), and iii) both automated as well as manual assessment. The three conditions are compared in terms of (objective) task effectiveness and from a (subjective) student perspective. The experiment demonstrates that having access to both forms of assessment (automated and manual) is superior both from a task effectiveness as well as a student perspective. We also find that the two forms of assessment are complementary: automated assessment appears to be better in terms of task effectiveness; whereas manual assessment appears to be better from a student perspective. Further, we found that automated assessment appears to be working better for men than women, who are significantly more inclined towards manual assessment. We then perform a cost/benefit analysis which leads to the identification of four equilibria that appropriately balance costs and benefits. Finally, this gives rise to four recommendations of when to use which kind or combination of feedback (manual and/or automated), depending on the number of students and the amount of per-student resources available. These observations provide educators with evidence-based justification for budget requests and considerations on when to (not) use automated assessment.
Georeferencing Roberti Grosseteste Epistolae

In this paper, we are proposing a georeferencing of "Roberti Grosseteste Epistolae", that is, of the Letters written by Robert Grosseteste, one of the most prominent thinkers of the Thirteenth Century, Bishop of Lincoln from 1235 AD till his death, on 9 October 1253. The georeferencing is evidencing the network of the thinker, in particular, his links with other episcopal seats in England. The map we obtain on Google Earth shows the large influence of Grosseteste on his geographic area and political environment
Compression ratios based on the Universal Similarity Metric still yield protein distances far from CATH distances

Kolmogorov complexity has inspired several alignment-free distance measures, based on the comparison of lengths of compressions, which have been applied successfully in many areas. One of these measures, the so-called Universal Similarity Metric (USM), has been used by Krasnogor and Pelta to compare simple protein contact maps, showing that it yielded good clustering on four small datasets. We report an extensive test of this metric using a much larger and representative protein dataset: the domain dataset used by Sierk and Pearson to evaluate seven protein structure comparison methods and two protein sequence comparison methods. One result is that Krasnogor-Pelta method has less domain discriminant power than any one of the methods considered by Sierk and Pearson when using these simple contact maps. In another test, we found that the USM based distance has low agreement with the CATH tree structure for the same benchmark of Sierk and Pearson. In any case, its agreement is lower than the one of a standard sequential alignment method, SSEARCH. Finally, we manually found lots of small subsets of the database that are better clustered using SSEARCH than USM, to confirm that Krasnogor-Pelta's conclusions were based on datasets that were too small.
Glacier area shrinkage in eastern Nepal himalaya since 1992 using high-resolution inventories from aerial photographs and ALOS Satellite images

To better understand the recent wide-scale changes in glacier coverage, we created and compared two glacier inventories covering eastern Nepal, based on aerial photographs (1992) and high-resolution Advanced Land Observing Satellite (ALOS) imagery (2006–10). The ALOS-derived inventory contained 1034 debris-free and 256 debris-covered glaciers with total and average areas of 440.2 ± 33.3 and 0.42 km 2 and 1074.4 ± 206.4 and 4.19 km 2 , respectively. We found that the debris-free glaciers have lost 11.2% (0.7 ± 0.1% a −1 ) of their area since 1992, whereas the number of glaciers increased by 5% because of fragmentation. The area change was significantly correlated by simple linear regression with minimum elevation ( r = 0.30), maximum elevation ( r = −0.18), altitudinal range ( r = −0.50), glacier area ( r = −0.62) and mean slope ( r = 0.16), confirming that larger glaciers tended to lose a larger area (but a smaller percentage) than smaller glaciers. The intra-regional analysis of the glacier changes clearly showed higher shrinkage rates in the western massifs compared with the eastern massifs. In addition, 61 small glaciers covering an area of 2.4 km 2 have completely disappeared since 1992.