Miracle-dz/UniFAR-FTUs huggingface dataset:
Safe Reinforcement Learning in Constrained Markov Decision Processes

Safe reinforcement learning has been a promising approach for optimizing the policy of an agent that operates in safety-critical applications. In this paper, we propose an algorithm, SNO-MDP, that explores and optimizes Markov decision processes under unknown safety constraints. Specifically, we take a stepwise approach for optimizing safety and cumulative reward. In our method, the agent first learns safety constraints by expanding the safe region, and then optimizes the cumulative reward in the certified safe region. We provide theoretical guarantees on both the satisfaction of the safety constraint and the near-optimality of the cumulative reward under proper regularity assumptions. In our experiments, we demonstrate the effectiveness of SNO-MDP through two experiments: one uses a synthetic data in a new, openly-available environment named GP-SAFETY-GYM, and the other simulates Mars surface exploration by using real observation data.
ERP-A Brief Structure and Discussion of its Success and Failure

- Enterprise resource planning (ERP) systems are increasingly being adopted by organizations in developing countries. As in developed countries, this adoption seems beset by significant rates of failure, leading to a large waste of investment and other resources. This paper seeks to understand why ERP failure occurs. In doing this, it moves beyond the factor lists that have so far dominated analysis. Instead, it makes use of the "design-reality gap" model. This conceptual framework aims to be comprehensive but also contingent; sensitive to the specific conditions of any individual client organization. The design-reality gap model is applied to a case study of partial ERP failure in a Vishal mega mart manufacturing to retailing firm. The model analyses the situation both before and during ERP implementation. It finds sizeable gaps between the assumptions and requirements built into the ERP system design, and the actual realities of the client organization. It is these gaps - and the failure to close them during implementation that underlies project failure. The paper draws conclusions about good practice in ERP implementation relating to both risk identification and risk mitigation. But it also notes challenges existing in some developing countries contexts that may continue to constrain the effective use of enterprise resource planning systems.
A Dynamic Level Interaction Method Based on Trusted Value

With the rapid development of the cloud computing, there is a large amount of service providers with low quality in the marketplace. The mendacious service providers cause a serious loss for the users. In order to select an efficient cloud service, it can be trust and meet the user’s privacy protection requirements. In this paper, a dynamic level interaction method based on credible value is indicated. The cloud service providers and cloud users are divided into different dynamic levels according to their historical records. The security level of privacy data is decided according to the users’ trust level. This model introduces the center degree factor to filter the mendacious service and it can get a more accurate service evaluation by limiting the malicious users to make false evaluation for the service and it can control the providers’ access rights to protect the users’ information. The results of simulation experiment show that this model can improve the interaction successful rate and strengthen the safety of user privacy data. It demonstrates the efficiency and effectiveness of our approach in trusted interaction with other counterparts.
Efficient Coupled Dictionary Learning And Sparse Coding For Noisy Piecewise-Smooth Signals: Application To Hyperspectral Imaging

Given two datasets that belong to different feature spaces and both correspond to the same underlying phenomenon, the scope of coupled dictionary learning is to compute two dictionaries, one for each dataset, so that each dataset is approximated using the respective dictionary but the same sparse coding matrix. In this work, the focus is on a particular, yet widespread, form of this problem in which the datasets correspond to slowly varying (piece-wise smooth) signals, and the measurements contain severe noise. A novel coupled dictionary learning technique is developed by including a suitable total-variation-based regularization term in the cost function. Furthermore, exploiting the smoothness of the datasets, new fast sparse coding algorithms are derived. The new techniques achieve effective modeling of the smooth signal and significantly alleviate the effects of noise. Finally, extensive simulation results for the problem of spectral super-resolution of hyperspectral images are provided, demonstrating the performance improvements offered by the derived techniques.
Jaroslav Broďáni, Luboslav Šiška Habitual Subjective Well-Being and Movement Activity of Female Adolescents

Purpose: This paper presents the results of a comparative and dependency analysis between physical activity, joy of physical activity and quality of life in female high school students with different levels of sport performance. Methods: The survey was attended by (n = 560) 16–19 years old high-school students. The quality of life was monitored using the modified SQUALA questionnaire, the joy of physical activity using the PACES questionnaire and the level of physical activity during the week in hours (PA). The data are presented by means of descriptive characteristics (n, M, SD) and statistical significance and dependencies respectively are assessed using nonparametric methods (W, U, rs) on significance levels (p < ,10; p < ,05 and p < ,01). Results: The results of the dependency analysis did not show a large number of interactions between the PA, PACES and SQUALA among high-school female students. We found the interactions between the PA and PACES or SQUALA sporadically in groups of girls with the different levels of sports, where positive interactions predominated. PA in the week is positively correlated with PACES (rs = ,218, p < ,10) only in registered female athletes. Positive interactions between PACES and SQUALA can be found in top female athletes (material well-being p < ,10; education p < ,05; free time p < ,01) and in occasional female athletes (physical well-being p < ,20; psychosocial well-being p < ,20; appearance and ownership of things p < ,20). Conclusions: The results confirm the importance of voluntary and organized physical activity in the life of high-school students, who have the potential to increase the level of satisfaction with activity. The paper was published from the grant of the Ministry of Education KEGA 003 UKF-4/2016.
Effects of Microwave Radiation on the Germination and early growth of Some Indigenous Cowpea (Vigna unguiculata) Varieties in Nigeria

The exact biochemical processes by which microwave affects the functioning of living organisms is not very well understood. A study was carried out to investigate the effect of microwave radiation on the germination and early growth of four local cowpea varieties. The experiment consisted of two factors (i) Variety (Oloyin, Drum, Sokoto white and Katsina white) and (ii) Time of exposure of seeds to microwave rays. (0, 0.5, 1.0, 1.5, 2.0, 2.5 and 3 minutes). The treatment combination was laid out in a Randomized complete block design with two replicates. Result showed that the time of exposure significantly affected germination percentage, number of leaves and plant height throughout the period of observation. Exposure of seeds for 0.5min consistently had the highest germination from 4 days after planting (DAP), also there was a decline in germination with increase in exposure time above 1 minute. At 8 DAP, 0.5min exposure time had 23.0% better germination percentage than the untreated control. Furthermore, there was a 72.9% reduction in germination percentage for seeds that were exposed for 3 minutes compare with the control. Similar trend was observed for number of leaves and plant height. There was also significant (P< 0.05) difference among the varieties with Katsina white having the best germination percentage and drum having the least. These results are suggestive that exposure of cowpea seeds to microwave rays beyond 1 minute can be detrimental to the germination and early growth of cowpea seeds. [Salami, A. E. Effects of Microwave Radiation on the Germination and early growth of Some Indigenous Cowpea (Vigna unguiculata) Varieties in Nigeria. Biomedicine and Nursing 2016;2(3): 64-68]. ISSN 2379-8211 (print); ISSN 2379-8203 (online). http://www.nbmedicine. org. 10. doi:10.7537/marsbnj020316.10.
Vesicular arbuscular mycorrhiza as potential Biocontrol agent for nutrition and management of Soil-borne diseases: A review

Mycorrhizae is symbiotic organism that have potential as biological control agent of soil borne disease. Vesicular arbuscular mycorrhizae (VAM) represent a group of fungi that are associate with most agricultural pants influence the nutrition i.e., macro and micro and provide protection against soil borne disease. Difficulty of the application of VAM as biological control agents can be related to variations within each pathogen host-plant VAM system. Soil borne diseases are one of the important limiting factors for the commercial cultivation of various crops. The management of these diseases with chemical pesticides has exhibited numerous ill effects to 88biotic system and environment and it provide effective and durable protection to root system. The role of mycorrhiza against pathogenic population is well established and benefits of these associations have been found to reduce the vulnerability of root system by decreasing abiotic stresses besides improving the ecological fitness of plant species in the soil environment. Balanced plant nutrition with macro and micro nutrients attributes to host endurance against different biotic and abiotic stresses. Plant species are benefited from mycorrhizal association because of superior effectiveness in nutrient and water uptake. Abiotic stresses influence the host to pathogenic infections. Some of the diseases are more in nutrient-poor or moisture-deficient soils. Several studies have proved that seedlings with symbiotic associations exhibit more resistance to the host system against pathogenic fungi/bacteria/nematodes with various mechanisms. Symbiotic fungi utilize surplus carbohydrates from the root exudates and transform the monosaccharide to less soluble sugars which discourages the germination of propagules and attractiveness of the roots to the pathogens which are helps in establishment of seedling. Symbiotic associations have been found to enhance the concentration of these inhibitors many times greater than non-symbiotic roots and protecting the plant species against infection. This review provides an overview of the potential of AM fungi as bio-protection agents against soil borne disease and emphasizes the complex nature of plant–fungus interactions. Several mechanisms, including modulated plant tolerance, manipulation of induced systemic resistance (ISR), and altered vector pressure are involved in such interactions, considering multiple benefits, Enhanced plant nutrition uptake, Damage compensation, Competition for colonization or infection sites, better establishment of plant, Anatomical and morphological changes in the root system etc. Mycorrhiza incorporation can be considered as one of the important components of integrated disease management strategies and influence the nutrition which are provide better establishment of crops.
CLASSIFICATION OF COPRA MEAL AND COPRA EXPELLERS BASED ON ETHER EXTRACT CONCENTRATION AND PREDICTION OF ENERGY CONCENTRATIONS IN COPRA BYPRODUCTS

The objectives were to develop a classification standard for copra meal (CM) and copra expellers (CE) based on ether extract (EE) concentration and to develop prediction equations for EE and gross energy (GE) concentrations in copra byproducts. Data from 520 copra byproduct samples were used. Linear broken-line and quadratic models indicated breakpoints of 6.40 and 6.22% EE concentration to effectively distinguish the two copra byproducts, respectively. The EE was negatively correlated with moisture (r = -0.611, P < 0.001) and positively correlated with GE and organic matter (OM; r > 0.56, P < 0.001). The GE concentration in the copra byproducts showed a positive correlation with OM (r = 0.524, P < 0.001). The most suitable and simple prediction equations where the components were expressed in % (as-is basis) were EE = -77.0 + 0.976 × OM with R2 = 0.439; GE, kcal/kg = 3,921 + 52.2 × EE with R2 = 0.324. In conclusion, CM and CE can be distinguished by EE of 6.31%. Organic matter can be used to estimate EE and GE in copra byproducts.
Andrology Semen quality improves marginally during young adulthood : a longitudinal follow-up study

Antti Perheentupa1,2,*, Sergey Sadov1, Riitta Rönkä1, Helena E. Virtanen1, Wiwat Rodprasert1, Matti Vierula1, Niels Jørgensen3, Niels E. Skakkebæk3, and Jorma Toppari1,4 Department of Physiology, University of Turku, Turku, Finland Department of Obstetrics and Gynaecology, University of Turku and Turku University Hospital, Turku, Finland University Department of Growth and Reproduction, Rigshospitalet, Copenhagen, Denmark Department of Paediatrics, University of Turku and Turku University Hospital, Turku, Finland
Phosphorus and light colimit periphyton growth at subsaturating irradiances

SUMMARY 1. This study investigated the combined effects of light and phosphorus on the growth and phosphorus content of periphyton. To investigate the potential for colimitation of algal growth by these two resources, diatom-dominated periphyton communities in large flowthrough laboratory streams were exposed under controlled conditions to simultaneous gradients of light and phosphorus. 2. Periphyton growth rate was predictably light-limited by the subsaturating irradiances (12–88 lmol photons m )2 s )1 ) used in this experiment. However, phosphorus concentration also limited growth rate: growth increased hyperbolically with increasing soluble reactive phosphorus (SRP), reaching a threshold of growth saturation between 22 and 82 l gL )1 . 3. Periphyton phosphorus content was strongly and nonlinearly related with SRP, reaching a maximum at 82 l gL )1 SRP. Contrary to the Light : Nutrient Hypothesis, periphyton phosphorus content did not decrease with increasing light, even at the lowest concentrations of SRP. Periphyton phosphorus was highly correlated with periphyton growth rate (Spearman’s q ¼ 0.63, P < 0.005). 4. Multiple regression analysis reinforced evidence of simultaneous light and phosphorus limitation. Both light and periphyton phosphorus content were significant variables in multiple regressions with growth parameters as dependent variables. Light alone accounted for 67% of the variance in periphyton biomass, and the addition of periphyton phosphorus as an additional independent variable increased the total amount of variance explained to 81%. 5. Our results did not support the hypothesis that extra phosphorus is required for photoacclimation to low light levels. Rather, the effect of additional phosphorus may have been to accommodate increased requirements for P-rich ribosomal RNA when growth was stimulated by increased light. The potential colimitation of periphyton growth by phosphorus and light at subsaturating irradiances has important implications in both theoretical and applied aquatic ecology.
ANALYSIS OF 3-LEVEL INVERTER BASED MEDIUM/HIGH VOLTAGE DRIVE SYSTEM AT ON LOAD CONDITION

The classical VSI fed induction motor generates sub quality output voltage and current due to the presence of harmonics and this leads to significant amount of energy losses. Inverters with increased number of steps produce high quality output waveforms. So, multilevel inverters (MLIs) are used to reduce this harmonics and hence the performance of the induction motor drive can be improved. This paper presents the simulation of a three phase three level inverter fed induction motor at no load and on load conditions. The control technique for the three level inverter is based on sinusoidal pulse width modulation (SPWM). The performance of the drive system is analyzed using MATLAB/ simulink software and the results obtained are presented. Keywords— Induction motor, Multilevel inverter, total harmonic distortion, SPWM technique.
Effects of kelthane® on reproduction of captive eastern screech‐owls

Eastern screech-owls (Otus asio) were fed diets containing 10 ppm Kelthane® with 3.4% DDT-related contaminants (old technical formulation), 10 ppm Kelthane with no detectable DDT contaminants (new technical formulation) or a control diet. Food consumption, adult weight and date of initiation of egg laying were similar for birds in control and dosed treatment groups. Most measures of reproductive success were similar for control and dosed treatment groups. Shell weight and thickness index were significantly lower for both dosed groups than for controls. Shell thickness was significantly lower for the new Kelthane treatment than for controls. Concentrations of p,p'-DDE were significantly higher in eggs laid by pairs receiving old Kelthane than in those of birds receiving new Kelthane or in controls. Concentrations of dichlorobenzophenone, dicofol and dechlorodicofols were significantly higher in carcasses of dosed owls than in controls, whereas concentrations of DDE were significantly higher in carcasses of owls fed old Kelthane than in controls or owls fed new Kelthane.
A practical data driven approach for the deployment of WSNs on realistic terrains

Existing works on relay nodes placement in two‐tiered wireless sensor networks (WSNs) assume two‐dimensional terrains and ignore completely the impact of the topography on the communication quality. In contrast, this paper addresses constrained versions of the relay nodes placement problem while adopting more realistic assumptions. To ensure the connectivity of a two‐tiered WSN deployed on a three‐dimensional terrain, the proposed approach determines the relay nodes positions by analyzing the data extracted from the terrain topography. The main idea is to consider a concrete positions constraint, by requiring the placement of relay nodes only at the terrain crest points, which have a relatively wide visibility on the terrain and are well exposed to the sun. This allows minimizing the number of relay nodes required to ensure the connectivity, reduces the impact of the topography on the wireless communication quality, and offers the opportunity to equip the relay nodes with solar panels to extend their lifetimes. Based on this idea and inspired by the One‐Step constrained Relay nodes Placement (OSRP) and Realistic constrained Relay nodes PLacement (RRPL) approaches, three algorithms, called 3D‐OSRP (3D One‐Step constrained Relay nodes Placement), 3D‐RRPL‐v1 (3D Realistic constrained Relay nodes PLacement version‐1), and 3D‐RRPL‐v2 (3D Realistic constrained Relay nodes PLacement version‐2), are designed, implemented, and evaluated by extensive simulations on realistic three‐dimensional terrains. Obtained results demonstrate the relevance of considering positions constraint.
EVALUATION OF WATER RETAINING CONCRETE PROPERTIES WITH VARIOUS POLYMERS

1M-Tech Scholar, Dept. of Civil Engineering, RSR-RCET Bhilai, India 2Asst. Professor, Dept. of Civil Engineering, SSITM, Bhilai, India 3Professor, Dept. of Civil Engineering, RSR-RCET, Bhilai, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract Normal concrete produced by conventional method is less durable and requires certain fix amount of water based on water cement ratio calculated. This is helpful in reducing water cement ratio and enhancing concrete properties in matrix. This is carried out by impregnating polymer compound during the concrete mixing phase.
Applying Technology Acceptance (TAM) Model to Determine the Factors of Acceptance in Out-Patient Information System in Private Hospital Sectors in Chennai City

Emerging interest in end users’ reactions to health information technology has developed the importance of theories that predict and explain health information technology acceptance and use. This study analyse the application of one such theory, the Technology Acceptance Model (TAM), to health care. This study proposed a theoretical framework that includes the core constructs in TAM: namely, perceived ease of use and perceived usefulness. Additional external variables were also adopted— namely, customised information and Trustworthiness. The overall research model suggests that all mentioned variables either directly or indirectly affect the level of information by social media from they got to use an out-patient’s acceptance of technology in private hospital sectors. Based on data collected from 200 out-patient in private hospital in Chennai city, Exploratory factor analysis were used to identify the factors are influenced to acceptance of technology in out-patient of private hospital sectors
Experimental Evaluation on Maximum A Posteriori Location Tracking for Implantable Devices

Implantable medical devices that make use of wireless communications have so far attracted great attention. For efficient treatment based on wireless implantable devices, it is important to acquire their locations with high accuracy. In addition, considering an application example of wireless capsule endoscopy, motion control from outside and wireless power transmission need the endoscope location estimation in real time. This paper developed a real-time maximum a posteriori (MAP) location tracking system that can simultaneously estimate not only the location but also channel parameters for implantable medical devices. We then investigated achievable localization accuracy based on experimental evaluation under liquid phantom environment.
Transforming texts to maps : geovisualizing topics in texts

Unstructured textual data is one of the most dominant forms of communication. Especially after the adoption of Web 2.0, there has been a massive surge in the rate of generation of unstructured textual data. While a large amount of information is intuitively better for proper decision-making, it also means that it becomes virtually impossible to manually process, discover and extract useful information from textual data. Several supervised and unsupervised techniques in text mining have been developed to classify, cluster and extract information from texts. While text data mining provides insight to the contents of the texts, these techniques do not provide insights to the location component of the texts. In simple terms, text data mining addresses “What is the text about? ” but fails to answer the “Where is the text about? ” Since textual data have a large amount of geographic content (estimates of about 80%), it can be safely reasoned that answering “Where is the text about? ” adds significant insights about the texts. In this study, a collection of news articles from the year 2017 were analyzed using topic modelling, an unsupervised text mining technique. Topics were discovered from the text collections using Latent Dirichlet Allocation method, a popular topic modelling technique. Topics are probability distribution of words which correspond to one of the concepts covered in the text. Spatial locations were extracted from text documents by geoparsing them. Topics were geovisualized as interactive maps according to the probability of each spatial location word which contributed to the corresponding topic. This is analogous to thematic mapping in Geographical Information System. Coordinates obtained from geoparsed words provide basis for georeferencing the topics while the probability of such location words corresponding to the particular topics provide the attribute value for thematic mapping. An interactive geovisualization of Choropleth maps at the level of country was constructed using the Leaflet visualization library. A comparative analysis between the maps and corresponding topics was made to see if the maps provided spatial context to the topics.