Miracle-dz/UniFAR-FTUs huggingface dataset:
Tonal Masking Level Differences in Aboriginal Children: Implications for Binaural Interaction, Auditory Processing Disorders and Education

The masking level difference (MLD) is a psychoacoustic measure of binaural interaction and central auditory processing related to extracting signals from noise backgrounds. It represents the improvement in threshold sensitivity under antiphasic listening conditions relative to homophasic conditions. A low frequency pure tone (500 Hz) was presented in-phase (So) binaurally to the subject in the presence of a phasic masker (No). The behavioural threshold obtained at this condition was used as a reference. The behavioural threshold was again determined with the pure tone stimulus presented antiphasically (S), and the difference in thresholds was calculated to determine the MLD. The MLD was measured for a 500 Hz pure tone in 36 Aboriginal children (16 males and 20 females) from an Aboriginal community school (Nguiu, Tiwi Islands) where conductive hearing loss, due to otitis media, is endemic. The control group consisted of 62 normal-hearing children (40 males and 22 females) from a private school in Darwin. Aboriginal children showed a mean MLD of 7.76 dB whereas the control group exhibited a mean MLD of 11.21 dB. Aboriginal children showed a consistently lower MLD than non-Aboriginal normal-hearing children. Auditory processing disorders (APDs) have been shown to be related to early auditory deprivation, a common feature of chronic conductive hearing loss observed frequently in Aboriginal children. Thus, the MLD provides a metric for assessing binaural hearing abilities which may be relevant to the assessment of APD and hearing aid fitting. The MLD is a less linguistically, less culturally biased predictive measure and may be more easily administered than many speech and language test procedures used in diagnosing APD.
Effect of Early Feeding (in Ovo) With Nano-Selenium and Vitamin E on Body Weight and Glycogen Level in Broiler Chickens Exposed to Fasting Condition

This study aimed to reduce the severity of stress on incubating chicks as a result of long staying in hatcheries and exposure to food fasting as well as evaluate its subsequent growth performance. In present study, 750 fertilized eggs were used with divided into 5 treatments, each treatment contains 150 eggs, the first treatment (T1) is a negative control treatment without injection and the second treatment (T2) is a positive control treatment injected with distilled water. The treatments (T3, T4, and T5) were injected with a solution containing vitamin E, nano-selenium at concentrations of (15, 30, 45 mg/ml), respectively. The hatching chicks were divided from the injected egg treatments, where each treatment was divided into 3 replicates and the chicks were starved for 48 hours without providing them feed and they provided with water only. According to results, a significant increase occurred for the treatments (T3, T4, and T5) in weight at hatching and weight at age of 48 hours compared to positive and negative control treatments (T1 and T2). Significant increase occurred for the T5 treatment in the glycogen content of liver with a significant level and for the age at the hatching of (12, 24, 48 hr of bird age), respectively. Significant increase occurred for the treatments (T3 and T5) in the concentration of cardiac glycogen at hatching and at the age of (12 hr). The significant of the T5 treatment continued at the age of (24 and 48 hr) compared to the rest of the treatments. Significant increase occurred for the treatments (T3, T4 and T5) in the concentration of muscle glycogen compared to the treatments (T1 and T2). The results showed that nano-selenium and vitamin E improved the performance of embryonic growth and increased the weight of hatching chicks as well as increasing the level of glycogen in the liver, muscles and heart muscles.
Rapid Screening of Microfibrillated Cellulose Tructure Through FTIR and Principal Component Analsysis

Analysis of FTIR spectra combined with multivariate statistical analysis technique specifically Principal Component Analysis was used for rapid screening of microfibrillated cellulose (MFC) structure. The current methods used to extract the MFC are by using the chemical and physical approaches. To date, most researchers focused on bench (lab) scale experiment to identify the structure of MFC. Lack of mathematical models focusing on this goal has motivated this project. Principal component analysis is applied to identify the chemical composition of the MFC. The dataset comprises FTIR spectra of 12 samples that comes from MFC with different particles sizes, 200 µm, 250 µm and 800 µm. The result shows that the wavelength region which represents the MFC structure is in the range of 2950 cm-1 to 2978 cm-1 for particle size of 200 micrometer since it has larger surface area for penetration of fungal into the biomass due to lower diffusion of air, water and metabolite intermediates of which cellulose can be easily hydrolyzed due to increase in pore size of substance through greater removal of hemicellulose and lignin. The overall result indicates that the combination of FTIR analysis and PCA is a useful technique for rapid screening of MFC structure.
The Effect of Foliar Thiamine and Roselle Extract on NPK Content and Some Chemical Parameters inof Mathiola Plant

The experiment was conducted in the Directorate of Agriculture in Najaf during the agricultural season 2020-2021 to know the effect of Foliar application of thiamine and Roselle extract on the chemical parameters of the Mathiola plant(Matthiola incana L). The experiment included two factors, the first is thiamine at four concentrations (90,60,30,0) mg.L-1. The second is Roselle extract at four concentrations (0,2,4,6) g.L-1, a factorial experiment was conducted consisting of three replicates, the experiment was conducted based on the Randomized Complete Block Design (R.C.B.D) 4×4×3=48, The results can be summarized that thiamine at a concentration of 90 mg.L-1 with Roselle extract at a concentration of 6.4 g.L-1 when sprayed on the plant led to a significant increase in the study parameters as the leaves content of total chlorophyll and nitrogen phosphorous potassium, boron and the total soluble carbohydrate content of the leaves and the anthocyanin content of the flowers were increased reached to 57.27 mg.100 g-1 and 2.45% and 0.29% and 2.96% and 13.72 mg.kg-1 and 18.10 mg.g-1 respectively.
Data mining in the context of urban metabolism: A case study of Geneva and Lausanne, Switzerland

The highest share of the global population lives in cities. The current configuration of the latter requires considerable amounts of resource flows causing the degradation of local and global ecosystems. To face the complexity of these challenges, scientists use the concept of urban metabolism (UM), i.e. measuring urban input and output flows from a systemic perspective. This accounting method results in a large data collection from multiple sources that are often not harmonised. Metabolism of Cities Data Hub is an online platform which facilitates data collection, processing and visualisation in order to extract urban metabolism insights. This work highlights the challenges faced when mining urban metabolism data in the case of Lausanne and Geneva, as well as provides insights on how data could be best used from users and providers. Slight differences between the two case studies, in terms of data accessibility and availability where experienced but the main challenges revolved around data copyright, format and availability. As a conclusion, the used tool can enable harmonisation and standardisation of UM data. As such it could contribute to the use of data mining to streamline the environmental monitoring of cities as well as facilitate the creation of mitigation strategies.
Utilization of programmable cameras for web-based sensing and control of daylight in buildings

The concept of integrating programmable low-cost cameras into the office infrastructure and BMS for real-time, web-based sensing and control of the luminous environment in buildings is presented in this study. Experiments were conducted to evaluate the potential of predicting the luminance field perceived by an office occupant using a programmable calibrated HDR camera installed at the rear side of a computer monitor or on the wall behind the occupant, for a variety of sky conditions and shading options. The generated luminance maps using Python scripts with OpenCV packages were further processed to extract daylighting and glare metrics using Evalgare. The results showed that: (i) among the different camera resolutions that were compared, the 330x330 resolution was selected as the best option to balance between accurate capturing of visual environment and comfort and computational efficiency; (ii) a camera sensor embedded on the rear side of a computer screen could capture interior visual conditions consistently similarly to those viewed by the occupant, except for sunny conditions without proper shading protection. This prototype study paves the way for luminance monitoring and daylight control using programmable low-cost camera sensors embedded into the office infrastructure.
Response of Celosia Argentea (Plumosa) to Spraying With Growth Regulars (ABA and GA3)

The experiment was carried out in lath house, College of Agriculture/University of Kirkuk for the agricultural on 15-3-2021. The concentrations of Abscisic acid (ABA) were (0, 10, 20, 40) mg.l-1, Gibberellin (GA3) were (0, 50, 100, 200) mg.l-1. Results showed that Spraying with a concentration of 40 mg.L-1 of ABA and a concentration of 100 mg.L-1 of GA3 gave a significant increase in most of the vegetative and flowering characteristics, as it was superior in plant height, number of plant branches, leaf area, chlorophyll percentage, wet and dry weight. As for the characteristics of flower growth, it was significantly superior in number of flowers, flower diameter, vase life, number of flowering branches, wet and dry weight of flowers.
Research of the electro-magneto-elastic integral dynamic characteristics of the magnetostrictive actuator

This paper deals with feature of the magnetostrictive actuator. The current-displacement hysteresis loop has been modeled mathematically. Based on the experimental data, this model has then been predigested into a linear one. And then several experiments have been carried on to validate this model. By putting the actuator into a certain testing platform, the correct results of the system which is excited by a single current input signal, a single mechanical input signal and the co current-mechanical signal have been achieved. Through a serial of given experiments by using diverse current and mechanical exciters, the actuator has been put into applications and the dynamic characteristics of the vibration responses of certain situations of the “electro-magneto-elastic integral system” has been gained. Based on all the study of the dynamic characteristic of the actuator’s vibration output, and from the aspect of minimizing the output displacement of the actuator, the method of vibration control has been carried on. We have measure to input a control current to make the vibration of mechanical exciting system lowest. This is the basis of designing a smart structure and carrying on vibration control.
A Study on the Maintenance Cost Elasticity of the Apartment Housing

The maintenance cost depends on various factors such as building volume, floor area, number of household and so on. The maintenance cost of the apartment housing is affected by the maintenance type, building physical factor, sociogeographic aspects. Among these, the maintenance characteristics is represented and made up by the total floor area and number of household which means main factor to provide the building scale roughly. In this paper, it aimed at modelling the estimation function of the maintenance cost with the total floor area and number of household and analyzing the elasticity of the two factors. Although items of maintenance cost are various in general cost, repair cost and so on, we classified these items into the 5 categories. 5 categories are a general cost, a facility maintenance cost, a utilization cost, insurance and sanitary cost. The estimation function used a power function and it has better goodness-offitness than any other estimation methods in statistics. A power function has a three curve types with concave and convex and linear style to the origin.
The Timber Supply Chain Risks Assessment Based on Weighing with Rough Set and Fuzzy Comprehensive Assessment

This paper studied the timber supply chain risks assessment. Firstly we established the risks assessment index system according to the characteristics of timber supply chain, and then we formulated the method of weighing indexes based on rough set theory, and then we established the supply chain risks assessment models with fuzzy comprehensive theory to judge the risks level. By case analysis, we draw the conclusion that the factors of production and processing and the factors of sales make grater impact on the timber supply chain, while the factors of natural and the factors of reverse recycling make smaller impact, and the risks of other factors are moderate.
A method of self-calibration for integrated capacitive sensors

In a sensor employing changes in capacitance the introduction of two additional reference electrodes can assist in the minimization and correction of errors introduced in the manufacturing process and from changes in environmental conditions. The two extra electrodes that reflect the maximum and minimum values of the measuring electrode are constructed during the same lithographic process and in close proximity to the active electrode. In preliminary trials of 79 sensors the uncorrected error in reading was nearly 20% of full scale and dropped to 4% of full scale after applying the correction. The technique with support electronics printed on flexible substrates allow the sensor to be small, integrated and “smart”.
Neuro-symbolic A.I. for the smart city

Smart building and smart city specialists agree that complex, innovative use cases, especially those using cross-domain and multi-source data, need to make use of Artificial Intelligence (AI). However, today’s AI mainly concerns machine learning and artificial neural networks (deep learning), whereas the first forty years of the discipline (the last decades of the 20th century) were essentially focused on a knowledge-based approach, which is still relevant today for some tasks. In this article we advocate a merging of these two AI trends – an approach known as neuro-symbolic AI – for the smart city, and point the way towards a complete integration of the two technologies, compatible with standard software.
Data analytics for smart buildings: a classification method for anomaly detection for measured data

Data generated by the increasingly frequent use of sensors in housing provide the opportunity to monitor, manage and optimize the energy consumption of a building and the user comfort. These data are often strewn with rare or anomalous events, considered as anomalies (or outliers), that must be detected and ultimately corrected in order to improve the data quality. However, many approaches are used or might be used (for the most recent ones) to achieve this purpose. This paper proposes a classification methodology of anomaly detection techniques applied to building measurements. This classification methodology uses a well-suited anomaly typology and measurement typology in order to provide, in the future, a classification of the most adapted anomaly detection techniques for different types of building measurements, anomalies and needs.
Production of Dianthus Caryophyllus L. Cultivar (Haytor White) as Cut Flowers Using Day- Extension Treatment and Mulching

The experiment was carried out in the greenhouse of the Agricultural Research and Experiment Station - Kirkuk University - College of Agriculture for the agricultural season 2020-2021. The experiment was started on 20-11-2020. Carnations were taken from the mothers before the start of the experiment and planted in culture dishes to complete the rooting process. Carnations were planted on terraces with a length of (20 m) and width (75 cm), and the distance between one line and another (30 cm) and between one plant another (30 cm) as well. Artificial lighting (white LED light factor, 40 watts) was used for four hours in addition to the natural light which started half hour before sunset. The intensity of lighting was measured by a light meter (Lux 6612). As for the mulching factor, the industrial mulching was used with white polyethylene and the natural mulching with shredded yellow corn residue with a thickness of 2.5 cm, in addition to the control treatment. The experiment was carried out in a split-plot system in a randomized complete block design (RCBD) and the treatment of illumination was placed in the main plots, while mulching was placed in the secondary plots, and the results were tested according to Duncan’s multiple range test at a probability level of 5%. The following characteristics were studied: plant height (cm), plant total chlorophyll content (CCI), number of days required for flowering (day), number of flower/m2, and flower stem length (cm). The results showed the superiority of lighting and mulching treatment in all vegetative and flowering traits under study.
NIST SP 800-57 키 관리 가이드라인 분석

최근, 인터넷의 보급이 일반화되면서 네트워크를 통해 다양한 전자상거래 서비스가 활성화되고 있다. 이러한 서비스는 전송되는 정보의 기밀성(confidentiality), 인증(authentication), 무결성(integrity), 부인봉쇄(non-repudiation)등의 정보보안 서비스를 제공하기 위해 암호기술이 요구된다. 이러한 암호기술의 안전성은 공개되어 있는 암호 알고리즘에 의존하는 것이 아니라, 암호 알고리즘에 사용된 키에 의해 좌우된다. 또한, 암호통신을 이용하는 개체가 증가함에 따라, 효율적인 키 관리의 필요성도 함께 증가하고 있다. 이에 본 고에서는 키 관리의 전반적인 개요와 효율적이고 안전한 키 관리를 위해 2003년도에 NIST에서 발표된 SP(Special Publication) 800-57 키 관리 가이드라인을 분석한다.
ENVIRONMENTALLY CONSCIOUS CHEMICAL PROCESS DESIGN

▪ Abstract The environment has emerged as an important determinant of the performance of the modern chemical industry. This paper reviews approaches for incorporating environmental issues into the design of new processes and manufacturing facilities. The organizational framework is the design process itself, which includes framing the problem and generating, analyzing, and evaluating alternatives. A historical perspective on the chemical process synthesis problem illustrates how both performance objectives and the context of the design have evolved to the point where environmental issues must be considered throughout the production chain. In particular, the review illustrates the need to view environmental issues as part of the design objectives rather than as constraints on operations. A concluding section identifies gaps in the literature and opportunities for additional research.
Conocimientos del personal del área de quirófano en el Hospital General Docente Ambato sobre sepsis quirúrgica.

Introducción: La sepsis es un síndrome clínico disfuncional potencialmente mortal, cuya incidencia se ha incrementado progresivamente. Objetivo: Determinar el nivel de conocimiento del personal del área de quirófano del Hospital General Docente Ambato sobre sepsis quirúrgica. Métodos: investigación de tipo descriptiva, observacional, no experimental y de corte transversal. La población del estudio estuvo conformada por todo el personal del área de quirófano del Hospital General Docente Ambato (HGDA), con una muestra censal: 7 enfermeras, 2 auxiliares de enfermería, 4 cirujanos, 2 anestesiólogos y 2 médicos a quienes se aplicó un inventario de evaluación conformado por 33 ítems, las variables se expresaron en niveles de conocimiento alto (entre 32 y 33 ítems correctos), medio (entre 16 y 31 ítems correctos) y bajo (menos de 16 ítems correctos) y fueron expresadas en frecuencias porcentuales y numéricas. Resultados: el 59% del personal de quirófano tiene un nivel de conocimiento alto respecto al tipo de cirugía. El 65% tiene un nivel de conocimiento medio sobre las causas de la sepsis, 59% sobre el cuadro clínico y el 47% sobre el tipo de sepsis. Un 65% del personal tuvo un nivel de conocimiento sobre los criterios diagnósticos. Conclusiones: la mayor parte del personal del área de quirófano del Hospital General Docente Ambato tiene un nivel medio de conocimiento respecto al cuadro clínico, tipos y causas de la sepsis quirúrgica. Se encontró un nivel alto de conocimientos respecto a los tipos de cirugía y bajo en conocimientos sobre criterios diagnósticos.
More than Words: Fonts as Generative Art

Artistic fonts offer a way to transform any text into an art print, interactive software, or animation. Thus we can view artistic fonts as a form of generative art: whereas most generative art is determined by an initial random seed, with fonts the “seed” is arbitrary text. An advantage of this approach is that the resulting print can encode one or more messages. With puzzle fonts, where the letters are encoded but not explicit in the glyphs, this message can be hidden within the resulting artwork. We demonstrate this approach to generative art using a series of mathematical and puzzle fonts we have designed over the years, which are available as free interactive web apps from https://erikdemaine.org/fonts.
Simulation and Experimental Investigation of Springback in Air V-Bending Process Using Finite Element Method (FEM)

This paper presents an investigation on cold bending process using simulation and experimental study. The experimental and simulation was performed on stainless steel 304 sheet metal in air V-bending. The factors involved in the process are punch radius, die radius, die gap, punch travel and punch velocity. The aim of this paper is to investigate the factors that affect the springback behavior of stainless steel in air V-bending using Finite Element Method (FEM) software Simufact-FormingTM version 11.0 and material database MatILDa. The simulation parameters followed the actual setting under consideration of the machine characteristic and friction. The simufact.formingTM simulation was further verified using hydraulic press machine with determine the desired speed of the forming punch. As the final result, comparison effect of springback between simulation and experiment is presented. It can be concluded that Simufact.formingTM software can gave fast solution analysis time in prediction of springback affact with good agreement between simulation and experimental.
The Mutual Impact of Educational and Information Technologies: Building a Pedagogy of E-learning

Educational technology, as a subset of pedagogy, is the sound use of any technology to support and improve learning. Information technology, on the other hand, focuses more on the digital delivery of information. Technical issues tend to take precedence. In this paper we argue that educational and information technologies cannot be separated. For better or for worse they impact upon one another. When one seeks to improve learning using digital media pedagogical considerations are always an issue. We believe there is a need for a conscious pedagogy of e-learning. The same fundamental questions that are asked of traditional university pedagogy need to be asked of e-learning but, in addition, the potential for a radically different, more innovative pedagogy has to be explored. E-learning is made possible by a revolution in information communication technology (hereafter ICT). Changes occurring as a result of the revolution continue at an exponential rate. The most obvious change as far as tertiary education is concerned involves the expansion of off-campus courses. Elearning is here to stay both as a support for face- to-face teaching and as the main means of distance education. Good pedagogy can inform and be supported by good ICT. Poor pedagogy can subvert the very point of using good ICT. A combination of bad pedagogy and bad ICT is a disaster for the future of elearning.