Miracle-dz/UniFAR-FTUs huggingface dataset:
Efﬁcient Construction of Voxel Models for Ore Bodies Using an Improved Winding Number Algorithm and CUDA Parallel Computing

: The three-dimensional (3D) geological voxel model is essential for numerical simulation and resource calculation. However, it can be challenging due to the point in polygon test in 3D voxel modeling. The commonly used Winding number algorithm requires the manual setting of observation points and uses their relative positions to restrict the positive and negative solid angles. Therefore, we proposed the Winding number with triangle network coding (WNTC) algorithm and applied it to automatically construct a 3D voxel model of the ore body. The proposed WNTC algorithm encodes the stratum model by using the Delaunay triangulation network to constrain the index order of each vertex of the triangular plane unit. GPU parallel computing was used to optimize its computational speed. Our results demonstrated that the WNTC algorithm can greatly improve the efﬁciency and automation of 3D ore body modeling. Compared to the Ray casting method, it can compensate for a voxel loss of about 0.7%. We found the GPU to be 99.96% faster than the CPU, signiﬁcantly improving voxel model construction speed. Additionally, this method is less affected by the complexity of the stratum model. Our study has substantial potential for similar work in 3D geological modeling and other relevant ﬁelds.
ScholarWorks ScholarWorks

Emerging adulthood is a time of sexual and romantic relationship development as well as change in the parent-child relationship. This study provides a longitudinal analysis of 30 young adults’ (17 women, 13 men) sexual experiences, attitudes about sexuality and dating, and reported conversations with parents about sexuality and dating from the first and fourth years of college. Self-report questionnaires revealed increases in general closeness with parents, increases in sexual and dating experiences, and both more sexually permissive as well as more gender stereotyped attitudes. Qualitative analyses of individual interviews indicated a movement from unilateral and restrictive, sex-based topics to more reciprocal and relationship-focused conversations over time. Gender analyses revealed that young women reported more restrictive sex messages and young men more positive-sex messages. Participants also described increased openness and comfort in talking about sexual topics with both mothers and fathers from the first to fourth year of college. Overall, the results suggest that prior findings of increased mutuality with parents during the college years extend to the traditionally taboo topic of sexuality.
Development and Validation of a Numerical Model for Miniature Electrochemical Oxygen Sensors

In this study, a numerical simulation model was developed in COMSOL 6.0 and applied to a miniature electrochemical oxygen sensor. The purpose of this simulation is to explore the effects of diffusion overlap in microelectrode arrays. The simulation results were validated against experimental measurements. Model parameters were optimized by minimization of differences between the model and experimental data, and application of a geometric correction for finite arrays. The model exhibits expected behaviors for a microelectrode array, so it will be used to further refine the sensor design.
Review of Public Administration and Management

Entrepreneurship has been recognized as a powerful engine of economic growth and wealth creation, and is crucial for improving the quality number and variety of employment opportunities for the poor. Historical research method was adopted for the paper. Data were collected from Journals, unpublished materials, newspapers, magazines and the internet site. Finding from the study reveals that, Technology Incubation Centres (TICs) are centres established by the Federal Government to support technology development in Nigeria. Finding from the study further reveals that, there are 33 centres with estimated 850 or more active Entrepreneurs. Survey of the entrepreneur’s technology development products at various centre includes; electro-planting engineering component, nails and metals, plastic bottle molding, grain processing plant, incubator and hatchery, integrated yoghurt processing machine, DC – AC auto control inverter, Diesel sludge extractors, tricycle, clutch lever, battery terminal and cassava processing machine. The study concludes that, Technology Incubation Centres support Entrepreneurs to create new enterprises, new commercial activities, and new economic sectors. Technology Incubation Centres also contribute to the socioeconomic and technological development of Nigeria by promoting technological entrepreneurship, eradicating poverty through wealth creation, enhancing Nigeria’s technological capability, thereby ultimately reducing her reliance on petroleum resources.
Why do we still measure state fragility?

Measuring and monitoring countries that are fragile is a rapidly growing but complicated task. Quantifying state fragility or any concept that is highly complex is loaded with theoretical assumptions, principles and definitions that may differ substantially across indices. This paper explains why the fragility community remains invested in expanding the concept of fragility, presents an updated stocktaking of the existing fragility indices and evaluates them using the framework approach. Reviewing the selected indices reveals that they can be indeed a source of useful signal. However, there can also be worthless noise associated with these indices because of the identified cross-reference issue between the indices, problems of double-counting or time lag in data. The paper argues that it would rather complicate than aid to believe that there is a particular index that is better than another. Instead, it encourages a more nuanced understanding of different fragility indices and concludes with offering insights into how to make sense of them.
A Self-Adaptive Approach to Job Scheduling in Cloud Computing Environments

Manual configuration of available resources in the data center as well as manual decision-making for the customers’ requests makes the resource management process potentially error-prone. So, the resource manager should make an intelligent decision for assigning the available resources to existing requests to ensure scalable and efficient on-demand resource provisioning. Cloud job scheduling mechanisms try to allocate the resources to users’ submitted jobs in an optimal way. Optimal scheduling is an NP-complete problem. To confront the mentioned challenges, many researchers have tried to tackle the job scheduling problem by proposing an automatic solution using reinforcement learning methods. Unfortunately, most of these methods ignore the fair response time to all the incoming jobs with the proper utilization of the data center resources. In this research, we have used deep reinforcement learning as a sequential decision-making method for automatic resource management that changes its behavior to deal with environmental changes. The approach uses the discrete soft actor-critic algorithm. It has efficient sampling and stable learning convergence as well as a precise adjustment of learning hyperparameters. Results show that the approach compared to DeepRM and DeepScheduler improves the slowdown and the balance of slowdown at least 3 times using Google's dataset.
Power-law scaling of spatially correlated porosity and log(permeability) sequences from north-central North Sea Brae oilfield well core

Summary The spatial cross-correlation and power spectra of porosity and log(permeability) sequences are analysed for a total of 750 m of reservoir rock drill-core from four vertical wells in the Brae Formation, an important coarse-grained clastic North Sea hydrocarbon reservoir rock. The well core sequences are 80 ± 4 per cent cross-correlated at zero lag and have power-law-scaling spatial power spectra S(k)∝1/kβ, β≈ 1 ± 0.4, for spatial frequencies 5 km−1 < k < 3000 km−1. The strong spatial cross-correlation of porosity and log(permeability) and the systematic power-law scaling of log(permeability) spatial fluctuation spectra fit into a broad physical context of (1) the 1/k spectral scaling observed in several hundred well logs of sedimentary and crystalline rock recorded world-wide; (2) the 1/f spectral scaling of temporal sequences in a wide range of physical systems; and (3) analogy with power-law-scaling spatial fluctuation spectra in a wide range of critical-state thermodynamic systems. In this physical context, the spatial fluctuations of log(permeability) of clastic reservoir rock are interpreted as due to long-range correlated random fracture-permeability networks in a fluid-saturated granular medium where the range ξ of spatial correlation is effectively infinite. Fracture-permeability spatial fluctuations with long-range correlations and 1/k-scaling spectra have practical implications for geofluid reservoir management. Inadequate models of reservoir flow structure are widely attributed to uncertainty in fault and fracture location and connectivity. As a general phenomenon, spatial configurations of large-amplitude, long-range spatially correlated random fluctuations are unpredictable from the statistics of small-scale samples. The observed 1/k spectral scaling of porosity and log(permeability) distributions thus implies that large-scale, large-amplitude fracture-related flow heterogeneity (1) can determine the drainage pattern of crustal reservoirs but (2) cannot be accurately predicted using statistical techniques based on small-scale reservoir samples. Incompatibility of the physics of reservoir heterogeneity and the statistical approaches to reservoir models can thus explain the persistent under-performance of stochastic reservoir models. Accurate reservoir flow models can, however, be determined by direct observation of fluid flow at the reservoir scale. Recent advances in seismic time-lapse reservoir-fluid monitoring may provide data for significantly more effective management of hydrocarbon reservoirs, waste burial sites, mining works and groundwater aquifers.
XVI.—On a New Species of Dineuron and of Botryopteris from Pettycur, Fife

Among the interesting specimens which have been yielded by the material of Calciferous Sandstone age (Culm), from Pettycur, near Burntisland, are a petiole of Dineuron and a very small species of Botryopteris. The former genus does not appear to have been previously discovered in Britain, and the present species is, as far as I am aware, only represented by a single example. The Botryopteris, in the form of fragments of petioles, is not infrequent, but its stems are of much more rare occurrence.
European Respiratory Society clinical practice guideline: palliative care for people with COPD or interstitial lung disease

There is increased awareness of palliative care needs in people with COPD or interstitial lung disease (ILD). This European Respiratory Society (ERS) task force aimed to provide recommendations for initiation and integration of palliative care into the respiratory care of adult people with COPD or ILD. The ERS task force consisted of 20 members, including representatives of people with COPD or ILD and informal caregivers. Eight questions were formulated, four in the Population, Intervention, Comparison, Outcome format. These were addressed with full systematic reviews and application of Grading of Recommendations Assessment, Development and Evaluation for assessing the evidence. Four additional questions were addressed narratively. An “ evidence-to-decision ”
Efficacy of different cereals on the development of Tribolium castaneum

The commercial availability of the cereals has been increasing due to the availability of low-gluten however; management of the cereals with its relation and susceptibility was poorly described. The efficacy of the development of Tribolium castaneum was analyzed on six different cereals i.e. wheat, rice, corn, cowpea, sorghum and barley flour. The cereals were collected from two different sources i.e. Flour mills (Source-I) and Grocery stores (Source-II) to assess the level of infestation. It was noticed that the total duration from egg to adult remains fastest on wheat flour, i.e. 41.8±0.80 days followed by sorghum flour 52.9±0.90 days and slowest on cowpea flour 65.5±1.00 days. The study of morphometric parameters of Tribolium castaneum as a result of feeding on different cereals showed statistically significant effects on the length, and breadth of different larval instars, pupa and Adult stages. The highest total larval length and breadth was recorded on wheat flour (42.80mm and 17.4mm) followed by Sorghum flour (41.40mm and 14.6mm) while the lowest total larval length and breadth was recorded on cowpea flour (28.0mm 8.1mm) followed by corn flour (30.70mm and 8.3mm). The results of this study indicated that higher rate of infestation on wheat and less on cowpea flour as compared to other cereals. Time for 50% to 90% of eggs to adult development was fastest on wheat i.e. (2.9±1.01 and 4.3±2.37) and slowest on cowpea flour i.e. (5.5 ±1.0 and 7.5±1.76). There was extensive variation in the efficacy of the different cereals with relation to the level of gluten increases the risk of insect infestation.
1 ECONOMIC VALUE ADDED AND FIRM VALUATION IN NIGERIA

This study examined the impact of economic value added on firm valuation in Nigeria. The study used three proxies to capture firm valuation. The variables are income base of firm valuation that is measured as discounted cash flow (DCF), asset based of firm valuation using net book value (NBV) and market based approach of firm valuation using publicly traded prices in the stock exchange (SP), while the explanatory variables (EVA) was measured as the company’s pr ofit after full cost of capital, while Firm size (FZE) and Leverage (LVG) are use as control variable. The panel data set were analyzed using pooled, fixed, and random effect estimator while Hausman test was used to select the best estimates. In the sample of selected non-financial firms, from 2012 to 2020, the study shows that EVA has a significant effect on firm valuation. Specifically, the result revealed that EVA has a significant effect on discounted cash flow, which measured income-based approach of firm valuation. EVA depicted a significant effect on book value approach to firm valuation, which is measured using net book value of asset. Similarly, a significant relationship exists between EVA and market-based approach of firm valuation, measured using share prices. Based on the findings of this study, the study recommended that successful value-based management firms should maintain that the technical accounting requirement of EVA is straightforward and makes only minimal adjustments to their accounting procedures. To give investors a normal return on their investment in the company's shares, managers should work to boost future EVA. This is crucial for establishing success standards for management incentive compensation schemes by corporate compensation committees as well as securities analysts evaluating stocks.
Facial Recognition System for Access Control through the Application of Convolutional Neural Networks

In recent years, biometric systems have been used to provide access control security, to help identify and recognize people. However, today due to the advance of the pandemic some of the biometric systems are considered as sources of transmission and contagion of COVID-19. This situation motivates us to the development of a facial recognition access control system through the Application of Convolutional Neural Networks (CNN) that, by not having physical contact with the devices, safeguards against COVID-19. A pre-trained VGG16 model was used and the new CNN model was trained with the Transfer Learning application. The recognition system was tested using a public database such as celebA, obtaining an accuracy of 84%, this isn't the best possible accuracy as some authors report better results. However, our objective was not to provide the best accuracy with random data, we only need to achieve good accuracy with the company's controlled data, our CNN model achieves an accuracy of 98% in controlled conditions with an average identification time of 80 milliseconds. It has a low implementation cost that allows it to be competitive in low-income countries, like Ecuador, compared to international costs of state-of-the-art systems.
Patterns and sources of anthropogenic contaminants in the Otter Creek Watershed, Madison County, Kentucky

Stream systems are often affected by anthropogenic activities that affect water quality and stream ecosystems. Land use typically determines the type and quantity of anthropogenic contaminants entering natural waters. The Otter Creek watershed (170 km2; Madison County, Kentucky) consists predominantly of pasture and rural housing, with some cropland. The basin also receives runoff from the town of Richmond and a sewage treatment plant operates within the watershed. We measured concentrations of nutrients (phosphate, ammonium, nitrate) and fecal microbes to discover levels of anthropogenic contaminants affecting water quality and to identify contaminant sources. We sampled 4 times in the summer field season of 2015 over a variety of conditions. Nutrients were measured colorimetrically using established colorimetric methods. The abundance of Escherichia coli was quantified using IDEXX rapid-assay techniques. Phosphate (0 – 0.5 mg/L) and ammonium (<0.1 mg/L) concentrations were low for all sampling days, whereas nitrate was the dominant anthropogenic nutrient contaminant showing concentrations of 1 to 3 mg/L. Consistently higher levels of phosphate and nitrate were found in the waters of Dreaming Creek, which drains urban Richmond. High ammonium levels were sporadic and associated with pasture. High E. coli counts occurred in Dreaming Creek, the upper reaches of Otter Creek, and proximal to pastures. Both pointand non-point sources exist for contaminants. The sewage treatment plant is a definite point source for nitrate and less so for phosphate and ammonium. Non-point sources include high concentrations of nitrate, phosphate, and fecal microbes occur along Dreaming Creek, likely due to leaky sewage distribution pipes. Spikes in ammonium concentration are associated with cattle pasture, another non-point source. We also tested contaminant levels immediately before and after a rainfall event associated with tropical storm Bill (June 22). Phosphate and ammonium levels decreased, whereas nitrate increased significantly. E. coli counts also increased dramatically, after the rain event.
SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model

—Private set intersection protocols allow two parties with private sets of data to compute the intersection between them without leaking other information about their sets. These protocols have been studied for almost 20 years, and have been significantly improved over time, reducing both their computation and communication costs. However, when more than two parties want to compute a private set intersection, these protocols are no longer applicable. While extensions exist to the multi-party case, these protocols are significantly less efficient than the two-party case. It remains an open question to design collusion-resistant multi-party private set intersection (MPSI) protocols that come close to the efficiency of two-party protocols. This work is made more difficult by the immense variety in the proposed schemes and the lack of systematization. Moreover, each new work only considers a small subset of previously proposed protocols, leaving out important developments from older works. Finally, MPSI protocols rely on many possible constructions and building blocks that have not been summarized. This work aims to point protocol designers to gaps in research and promising directions, pointing out common security flaws and sketching a frame of reference. To this end, we focus on the semi-honest model. We conclude that current MPSI protocols are not a one-size-fits-all solution, and instead there exist many protocols that each prevail in their own application setting.
Impact of Work Motivation on Occupational Health in Healthcare Workers

Objectives: The present cross-sectional study investigated, in a group of Italian healthcare workers (HCWs), the association between work motivation and occupational health and the impact of socio-demographic and job-related variables on this association. Methods: A total of 656 subjects (nurses, technicians, midwives and physiotherapists) completed the survey. Linear regression models were used to correlate motivation types (by Scale of Motivation At Work) with health indicators (general health, depression, professional exhaustion, satisfaction and turnover intention) and burnout’s subscales (emotional exhaustion, depersonalization and reduced professional achievement). Findings: Autonomous motivation correlated positively with general health and work satisfaction and negatively with depression, exhaustion and turnover intention. Scoring high on intrinsic/integrated regulation was associated with better health and job satisfaction and with turnover intention, depression and emotional exhaustion. Controlled motivation, demotivation and external regulation nourished burnout’s indicators, while autonomous motivation was protective. Operating in intensive care or surgical areas negatively affected general health; working as a nurse manager or midwife increased one’s depressive risk and reduced satisfaction; being older than 60 increased emotional exhaustion and turnover intention; having a master’s degree protected from exhaustion and depression. Implications: Collectively, our findings extend evidence on the role of work motivation in shaping occupational health and underline the importance for healthcare organizations of promoting actions to reinforce autonomous motivation at work.
What is Strategy? East and West

This paper, in keeping in mind the emphasis made in Ohmae’s The Mind of the Strategist (original Japanese version 1975, English version 1982) considers what strategy is and what it should be, that is, the 'how' not the 'what' of strategy; reviews (Western) strategic management history through to the present era, and considers a possible future.