Miracle-dz/UniFAR-FTUs huggingface dataset:
Decontamination of Hydrochloric and Nitric Acids

Abstract One of the missions of the Bulgarian Army is the formation of maintenance modules that can take part in a series of military activities, including the eradication of the consequences of natural disasters, chemical and radiological accidents and ecological catastrophes. One task of the module formations in chemical and radioactive incidents is decontamination of equipment, materials and people. Pollution with toxic substances can occur in the area of military operations, tank spills, and terrorist attacks in peacetime. The Hazard Index ranks TIMs according to the chemical's production, transport, storage, toxicity, and vapor pressure. Mineral acids considered „high hazards" are also having a high level of toxicity and vaporize easily. This paper provides some chemical tasks about acids decontamination on non-porous materials. We have investigated the decontamination of hydrochloric and nitric acid in the non-porous surfaces through calculations and their decontamination on wood and concrete surfaces
Bacteriophage Removal Efficiency of In-line Coagulation with Ceramic Membrane Filtration

The main objectives of this study are to evaluate the removal efficiency of bacteriophage Qβ using in-line coagulation with ceramic membrane filtration at different coagulant dosages, ceramic membrane pore sizes and initial bacteriophage Qβ concentrations. Raw water was collected from the Ping River, Chiang Mai, Thailand, and spiked with bacteriophage Qβ to prepare an initial concentration of 8x106 PFU/ml. According to the resulted, it was found that the smaller pore sizes membrane yield higher bacteriophage Qβ log removal. However, the use of a ceramic membrane alone could not remove bacteriophage Qβ completely. In-line coagulation combined with ceramic membrane filtration was conducted. The optimal polyaluminum chloride (PACl) doses for the 1.0, 0.5 and 0.1 μm pore size membranes were 2.5, 2.0 and 1.5 mg-Al/L, respectively. Bacteriophage Qβ removal at the optimal PACl dose was more than 6.7 log in all cases. The results of effect of different initial bacteriophage Qβ concentration on the removal efficiency showed that in-line coagulation with ceramic membrane at all pore sizes can completely remove bacteriophage Qβ when the initial concentration was low (5x105 PFU/ml). However, the higher initial bacteriophage Qβ concentrations (4x106 and 8x107 PFU/ml) required a higher PACl dose to obtain effective bacteriophage Qβ removal.
On Randic Spread

A new spectral graph invariant sprR , called Randić spread, is defined and investigated. This quantity is equal to the maximal difference between two eigenvalues of the Randić matrix, disregarding the spectral radius. Lower and upper bounds for sprR are deduced, some of which depending on the Randić index of the underlying graph. 1 Notation and preliminaries In this paper G stands for an undirected simple graph on n vertices and m edges. Its vertex set and edge set are V (G) and E(G), respectively. The vertices of G are assumed to be labeled by 1, 2, . , n. If e ∈ E(G) has end vertices i and j, then we say that i and j are adjacent (i ∼ j) and that e = ij. The set Ni = {j ∈ V (G) : ij ∈ MATCH Communications in Mathematical and in Computer Chemistry MATCH Commun. Math. Comput. Chem. 72 (2014) 249-266
Efficiency analysis of airports administered by Infraero from 2003 to 2013

The airline industry has earned over the years an important role in the process of globalization and economic development at national and global level. Since public resources are scarce and the industry demand is growing, the use of a tool that analyzes the efficiency of public airports gives visibility to structural problems and enables the mapping of strategies that seek to properly allocate the inputs front of the terminal needs. The objective of this study is to measure and evaluate the operational and financial efficiency of 63 public airports, administered by the Brazilian Airport Infrastructure Company, through the Data Envelopment Analysis Tool (DEA). In addition, to provide an overview of the sector over time, data 2003-2013 are studied by using descriptive statistics. The results showed in the operational analysis that only 12.7% of respondent terminals were efficient in 2010 and 11.1% in 2013. In the financial analysis were effective 9.5% of airports in 2010 and 14.3% in 2013. The results also revealed the need for attention to the sector in seeking to resolve bottlenecks and improve efficiency through modernization, adequate investment in infrastructure and balance between income and expenditure.
mHealth: A Design of an Exercise Recommendation System for the Android Operating System

For healthiness and wellness, exercising is one of the key factors. Therefore, this paper aims to present the first phase of a mobile health application developed to recommend healthcare support referring to exercises on an Android smartphone. This application has been designed to provide exercise advice depending on Body Mass Index (BMI), Basal Metabolic Rate (BMR) and the energy used in each activity or sport (e.g. aerobic dancing, cycling, jogging working and swimming). Also, this application has been designed to present special exercise advice for patients with health issues. Moreover, it has been designed to store information in a database and to have the ability to produce reports to users. After designing, this proposed mHealth application has been evaluated by 30 subjects who have computer programming skills. It has been found that all diagrams, including use the case diagram, sequence diagrams and overall were assessed as ‘good’, except the part of user interfaces that was assessed as ‘fair’. Therefore, this design can be used to implement in the next phase of this application development with minor revision concerning the user interfaces. doi: 10.14456/WJST.2015. 6
Fusion Network for Change Detection of High-Resolution Panchromatic Imagery

This paper proposes a fusion network for detecting changes between two high-resolution panchromatic images. The proposed fusion network consists of front- and back-end neural network architectures to generate dual outputs for change detection. Two networks for change detection were applied to handle image- and high-level changes of information, respectively. The fusion network employs single-path and dual-path networks to accomplish low-level and high-level differential detection, respectively. Based on two dual outputs, a two-stage decision algorithm was proposed to efficiently yield the final change detection results. The dual outputs were incorporated into the two-stage decision by operating logical operations. The proposed algorithm was designed to incorporate not only dual network outputs but also neighboring information. In this paper, a new fused loss function was presented to estimate the errors and optimize the proposed network during the learning stage. Based on our experimental evaluation, the proposed method yields a better detection performance than conventional neural network algorithms, with an average area under the curve of 0.9709, percentage correct classification of 99%, and Kappa of 75 for many test datasets.
Near Field to Far Field Conversion for an Infinite Ground MicroStrip Trace Using Genetic Algorithm

− In this paper, an efficient combination of the near field to far field (NF-FF) transformation and the genetic algorithm (GA) is suggested for investigating of a microstrip trace on an infinite ground plane. Parameters of a set of ideal electric and magnetic dipoles are estimated by GA based on finite samples of near field data in the radiation region. Then, the far field pattern is determined, using the electromagnetic (EM) fields of equivalent ideal dipoles. The commercial software Ansoft High Frequency Structure Simulator (HFSS) is used for both, computing the near field data and validation of the proposed method. In addition, the influence of number of dipoles on the convergence rate is studied. Index Terms − Genetic algorithm, microstrip, and near field to far field transformation.
DEMOGRAPHIC FACTORS, EMOTIONAL LABOUR AND CONSCIENTIOUSNESS AS PREDICTORS OF CAREER FULFILLMENT OF NURSES IN IBADAN

This study investigated the influence of demographic factors, emotional labour and conscientiousness on career fulfillment of nurses in Ibadan. It adopted a descriptive research design of expost -facto type . Purposive sampling technique was used to select 380 participants from three hospitals in Ibadan metropolis (male 64, female 316) Emotional Labour Scale ( ELS-@0.81), Conscientiousness inventories ( CI-@0.79) and Career Fulfillment Scale (CFS-@ 0.71) were used and three research questions were answered with Multiple Regression Analysis and Pearson Product Movement Correlation Analysis (PPMC) at 0.05 level of significance. The results revealed that Conscientiousness and Emotional Labour significantly predicted Career Fulfillment of nurses ( F (7, 372) = 36.927, p<05), which implies that 39.9% of the variance is accounted for by the combination of emotional labour, conscientiousness, Age, Gender, marital status, Education, length of service. The results further showed that conscientiousness has the highest contribution to career fulfillment. This is followed by emotional labour , while age, Gender marital status Education and length of service did not . Based on the findings, it was recommended that nurses should have more ample knowledge of conscientiousness and emotional labour, because the better understanding of these variables will facilitates improved career fulfillment among the nurses
Application of Organic Amendments To Reduce Volatile Pesticide Emissions from Soil

Atmospheric emission of volatile pesticides such as soil fumigants contributes to air pollution, and feasible strategies to reduce their emission are urgently needed. In this study, we investigated the potential of applying organic wastes to reduce the emission of two important fumigants, methyl bromide (MeBr) and methyl isothiocyanate (MITC), by enhancing their degradation in surface soil. The degradation of both compounds was significantly accelerated in composted manure or biosolid-manure amended soils, and the enhancement was greater for MITC than for MeBr. The difference in degradation kinetics between sterile and nonsterile amended soils indicates that degradation of MeBr in amended soils was chemically mediated, while that of MITC was mainly a result of stimulated microbial degradation. Applying 5% of composted manure to the 5 cm surface soil in packed columns reduced MeBr emission by 12%, and almost completely eliminated the volatilization of MITC. As certain organic amendments can suppress soil p.
Data-Driven Model for Upper Limb Spasticity Detection

Upper limb spasticity (ULS) is a common pathophysiological changes manifest by a structural damage towards the central nervous system (CNS) that includes brain and spinal cord. The current clinical practice of spasticity assessment utilizes Modified Ashworth Scale (MAS) as a subjective tool to measure the severity of spasticity. Lack of objective value, poor sensitivity in detecting minimal changes, and dependency to the interpretation by the assessing clinicians are the several reasons of the inter and intra-rater variability of the measurement using MAS. These limit the use of MAS in diagnosing, treating, and monitoring spasticity especially in inexperienced clinicians, hence leading to inadequate spasticity management. To overcome this problem, a study is carried out to quantify and develop a data-driven model of ULS detection based on MAS. The characteristics that detect the existence of ULS according to MAS are identified and adopted to train the machine learning models for smart diagnosis purpose to assist the physicians to effectively manage spasticity.
Value-at-Risk and Expected Shortfall for Rare Events

We show that the use of correlations for modeling dependencies may lead to counterintuitive behavior of risk measures, such as Value-at-Risk (VaR) and Expected Shortfall (ES), when the risk of very rare events is assessed via Monte-Carlo techniques. The phenomenon is demonstrated for mixture models adapted from credit risk analysis as well as for common Poisson-shock models used in reliability theory. An obvious implication of this finding pertains to the analysis of operational risk. The alleged incentive suggested by the New Basel Capital Accord (Basel II), namely decreasing minimum capital requirements by allowing for less than perfect correlation, may not necessarily be attainable.
Singularidad tecnológica y transhumanismo

Las novedades tecnológicas de la Cuarta Revolución Industrial han permitido el planteamiento de estrategias para trascender las limitaciones humanas, estrategias que son ampliamente amparadas por la filosofía transhumanista. El artículo explica la relación que existe entre el ‘transhumanismo’ y la ‘singularidad tecnológica’. Para ello, se definirá brevemente qué es la Cuarta Revolución Industrial y qué es el transhumanismo. Luego se evaluarán los tres modelos principales de singularidad tecnológica y se ofrecerá una definición apropiada de este concepto futurista. Finalmente se brindará una reflexión sobre la relación entre singularidad tecnológica y la filosofía transhumanista y se concluirá que no son sinónimos, sino que la primera es una eventualidad que permitirá la segunda.
Preparing the Urban Agricultural Science Teacher: Curriculum Implications

Abstract Available lands in urban and rural schools are increasingly being threatened by developmental factors that spaces previously given to schools are now being retrieved by donor communities. This has affected the production of food crops by schools especially in the urban areas. The effect is experienced in the high cost of food items in the urban area with very high population. Schools are expected to produce food for the teaming population through the leading of competent teachers of Agricultural Science. Therefore, effective knowledge of the land usage is imperative recognizing the composite nature – various areas of specialization in Agriculture. This paper examined the needed competencies by teachers of Agricultural Science in urban areas as to making for effective institutional preparation for teacher trainees. Result showed that teachers identified 24 competencies needed for urban teaching of agriculture but expressed deficiency in 19 competencies (79.17 percent). The curricular implication of this range from inclusion of the basic Humanities subjects of Geography, Economics and Commerce in the curriculum of Agricultural Science teachers programme and effective implementation of field trips to strengthen the relationship between theory in the school and practice in the field.
Obstructed and channelized viscoplastic flow in a Hele-Shaw cell

A theoretical study is presented of the flow of viscoplastic fluid through a Hele-Shaw cell that contains various kinds of obstructions. Circular and elliptical blockages of the cell are considered together with stepwise contractions or expansions in slot width, all within the simplifying approximation of a narrow gap. Specific attention is paid to the flow patterns that develop around the obstacles, particularly any stagnant plugged regions, and the asymptotic limits of relatively small or large yield stress. Periodic arrays of circular contractions or expansions are studied to explore the interference between obstructions. Finally, viscoplastic flow through a cell with randomly roughened walls is examined, and it is shown that constructive interference of local contractions and expansions leads to a pronounced channelization of the flow. An optimization algorithm based on minimization of the pressure drop is derived to construct the path of the channels in the limit of relatively large yield stress or, equivalently, relatively slow flow.
Measuring COVID-19 Stressors and Their Impact: The Second-Order Factor Model and Its Four First-Order Factors: Infection Fears, Economic, Grief, and Lockdown Stressors

Abstract The current research aims to test the new measurement model of COVID-19 stressors which includes four stressor types: infection fears, lockdown, economic, and grief in one second-order factor. Using a sample of 2732 from 11 Arab countries and measures for COVID-19 stressors, PTSD, depression, anxiety, and executive function, we conducted exploratory and confirmatory factor analyses, multigroup invariance, and correlations. A second-order factor with four first-order factors model fit the data well. All factors were significantly correlated with PTSD, depression, anxiety, working memory, and inhibition deficits. The measure and its four subscales have robust psychometrics and were invariant across genders.
Synergistic passivation of fly ash and TMT on heavy metals in sewage sludge.

Large amounts of fly ash and sewage sludge are produced annually in China. The treatment and disposal of such byproducts have become urgent problems that need to be solved. In order to achieve the possibility of realizing land applications for sewage sludge, fly ash and trimercapto-striazine trisodium salt (TMT) were used as immobilizing agents, and their passivation effects on four kinds of heavy metals (Cu, Ni, Pb, and Zn) were evaluated. The results showed that the resulting sewage sludge met Chinese standard GB/T23486-2009. When the addition was 10–20% fly ash or 0.4–0.6% TMT, the optimum immobilization effect was obtained. The synergistic passivation of 20% fly ash +0.5% TMT was superior to that of either fly ash or TMT alone. The addition of sewage sludge during the ryegrass growth process significantly increased the plant height, the number of tillers, the chlorophyll content, and the biomass of the ryegrass over the brown soil. The adverse effect of the heavy metals on the ryegrass growth could be alleviated by the passivation effect of fly ash and TMT. The immobilization performance of the fly ash was mainly due to the formation of precipitation and the ion exchange, while that of TMT was due to chelate precipitation.
Assessment of Self-Care Activities Using Diabetes SelfManagement Questionnaire (DSMQ) amongst Diabetes Patients Attending a Rural Health Training Centre in Lucknow

BACKGROUND Hyperglycaemia is the main cause for diabetes related complications. Though a number of factors add to the blood glucose, it is broadly known that proper selfmanagement activities reduce the risk in diabetic patients. This study was conducted to assess the self-care activities and their adherence amongst the diabetic patients attending the RHTC, IIMSR Lucknow. METHODS This cross-sectional study involved 92 previously diagnosed diabetic patients attending the outpatient department of rural health training centre, Integral Institute of Medical Sciences and Research, Lucknow, from December 2017 to August 2018. Data was collected by personal interviews using diabetes self-management questionnaire (DSMQ). SPSS software version 16.0 was used for data analysis. RESULTS All patients were aged between 40 to 65 years and males were higher in proportion (56.0 %). About 96.3 % subjects took diabetes medication as prescribed and 88.9 % subjects recorded their blood sugar levels regularly. Nearly 77.8 % did consistent exercise to accomplish optimal blood sugar stages & 96.3 percent took the dietary advice given by investigator. About two-third patients avoided physical activity although they knew that it would improve their diabetes goal. About one third patients forgot or skipped their diabetes medication. The subscales of health-care use showed negative average intra class correlation. Mean score of subscale glucose management was maximum as compared to other subscales. CONCLUSIONS This study provides evidence that the DSMQ enables an efficient assessment of selfcare activities and their adherence among diabetes patients. Adherence to the treatment of diabetes and lifestyle modifications is the need of the hour. KEY WORDS DSMQ, Diabetes, Self-Care Activities, Cross-Sectional, Intra Class Correlation
Responses of large wetland birds to human disturbances: results from experimental bird approaches in areas with different protection status in western Tanzania

Flight distances are quite often used to establish wildlife responses to humans. It is generally hypothesised that animals in protected areas are more sensitive to approaching humans than in areas where animals may coexist with humans at high densities. But this hypothesis may not hold true if animals are persecuted. A field experiment was designed on three large wetland birds, two ‘Vulnerable’ and CITES Appendix II; Shoebill Balaeniceps rex and Wattled Crane Bugeranus carunculatus and one ‘Least Concern’ Saddle-billed Stork Ephippiorhynchus senegalensis, in areas with different protection status to test the effect of protection gradient on flight distances. Because Shoebill and Wattled Crane are restricted in western Tanzania and all the three species in this study are trapped it was also expected they should respond to the hunting pressure. The study found that birds were more wary in heavily protected area with longer flight initiation distance (83.75 ± 18.84 m) than in unprotected (57.24 ± 23.53 m), conforming to the first hypothesis. However, flight distances for Saddle-billed Stork did not differ significantly among the sites. In addition, Shoebill formed tight flocks in heavily protected area when flushed suggesting that birds were responding to persecution familiarity. Allegations of illegal bird trapping in protected areas were also rampant and insufficient on-site law enforcement was noted. Given the small population of the Wattled Crane and Shoebill in Tanzania (< 500 individuals for each species), the study recommends suspension of trapping and trade of the two species, and improving on-site law
Dynamic neuromorphic architecture selection scheme for intelligent Internet of Things services

With the development of Internet of Things (IoT)‐related technologies and artificial intelligence (AI) technologies, various IoT services are becoming more intelligent, and their use range is increasing and diversifying. IoT hardware and IoT software must support AI‐related functions to provide an intelligent IoT service. In general, IoT devices powered by batteries have limited computing performance when compared to general computing environments. Therefore, it is essential to provide AI‐related functions at low power in IoT devices to implement and offer various intelligent services. Neuromorphic computing devices or neuromorphic computing architectures can operate with low power energy consumption. If applied to IoT devices, AI‐related functions can be implemented in a resource‐constrained IoT device environment. The proposed neuromorphic architecture abstraction (NAA) model dynamically selects the proper neuromorphic architecture by comparing the parameter size of a given SNN model. It also considers the specifications and error probability of the available neuromorphic architecture. We also implement the proposed model in a real IoT computing environment and show that the proposed NAA model and dynamic selection scheme can reduce the execution time for training and inferencing. It reduces the training and inferencing time of a given model compared with the method of randomly specifying the neuromorphic architecture.
Pregnancy Following in Vitro Fertilization With Minimal Stimulation in a Woman With Diminished Ovarian Reserve: a Case Report and Literature Review

Background: Among reproductive-aged women with infertility, diminished ovarian reserve (DOR) is an important factor. Method: we describe a woman with FSH over 20 IU/L who became pregnant through IVF using a minimal stimulation protocol.Case presentation: Oral contraceptives (OCs) were used before ovarian stimulation, with only one oocyte retrieved. After transfer of one blastocyst to the uterus, she became pregnant and delivered a healthy male infant weighing 3250 g at 39 weeks’ gestational age. Conclusions: We report this case to declare that minimal stimulation IVF may allow for the possibility of pregnancy in DOR patients, with lower cost and fewer complications.