Miracle-dz/UniFAR-FTUs huggingface dataset:
Support Needs of Novice Public-School Teachers for Effective Management of Elementary Level Classrooms in Lahore

1. Ph. D Scholar, Department of Education, University of Management and Technology, Lahore, Punjab, Pakistan 2. Assistant Professor, Department of Education, University of Management and Technology, Lahore, Punjab, Pakistan 3. Assistant Professor, Department of Education, University of Management and Technology, Lahore, Punjab, Pakistan PAPER INFO ABSTRACT Received: July 17, 2020 Accepted: September 05, 2020 Online: September 30, 2020 The purpose of this study was to develop an understanding of the support needs which novice teachers considered essential in their initial three years of service. A basic qualitative research design was used, and semi-structured interviews were conducted with a purposive sample comprising of 20 novice teachers who had less than three years of teaching experience at public-elementary schools in Lahore. The result of the study indicated that novice teachers considered that both principal and senior teachers should guide them. It was found that half of the interviewed teachers were satisfied with the support of the principal and senior teachers, whereas other half reported principal did not help them, and senior teachers were involved in leg-pulling. Most principals were co-operative, and novice teachers could discuss their classroom management challenges with them like student’s absence, behavioral challenges, cleanliness, and lack of interest of parents/over-involvement. Whereas some reported their principal did not listen to their challenges, and they could not discuss challenges with them. Most teachers received suggestions from principals such as keeping students involved, teaching slowly, and dealing with students’ behavioral challenges patiently.
NRCMS and Rural Household Credit Availability in China: Evidence From CFPS

Background: The Chinese government has, in seeking to enable farmers to obtain and use safe and affordable formal financial services, implemented Inclusive Finance. But disease burden, poor health and other factors have made it difficult for farmers to obtain formal credit servicesMethods: This paper draws on 2010 China family survey (CFPS) data to explore how the New Rural Cooperative Medical Scheme (NRCMS) affected rural households’ credit availability. Results:The results show that, as a public health insurance system sustained by the participation of government investment participation, the NRCMS provides good ‘collateral’ and significantly enhances farmers’ credit availability level. Conclusions: Our study suggests the positive impacts is mainly reflected in the economic effect of the NRCMS. This raises the question of how to make better use of the NRCMS’ mortgage function, promote inclusive finance and provide more financial services for farmers that will promote their income. This serves to confirm and underline the importance of relevant policies.JEL Classifications: I18; G50; O16
EROSION PERFORMANCE OF PLAIN CONCRETE PAVEMENTS UNDER ACCELERATED LOADING

Plain concrete pavements were tested using the Accelerated Loading Facility (ALF) at a site near Goulburn, New South Wales (NSW), between 1998 and 2000. The site chosen had a high diurnal temperature changes, in the order of 20 deg C, which produced significant interaction of loading and slab curl. This paper reports a summary of the Subbase (Erosion) ALF trial and the results of the analysis of the field data to date. The trial has consisted of an investigation of the influence of 3 subbase types (crushed rock, heavy-bound, and lean mix concrete) on the erosion performance of PCPs using ALF. It was found that there was no fatigue damage in all slabs tested with ALF 80 kN axle load in the Subbase (Erosion) trial. However, it was observed that under ALF loading fines from the crushed rock subbase pumped out along the longitudinal joints of dowelled and undowelled slabs with unbound crushed rock subbases. Very small quantities of subbases (or base) fines were pumped out for slabs with undowelled joints on a heavily bound subbase. Moreover, no evidence of subbase erosion was observed for slabs with dowelled joints on a heavily bound subbase or for slabs with undowelled joints on LMC subbases. Slab curl and loading defection of various slab types were recorded in the erosion trials for the purposes of quantifying the effects of dowels and subbase on erosion life. Analysis of slab curl and loading defection data indicates that: 1) unbound subbases are unsuitable under plain concrete pavements subject to heavy loading; 2) the benefits of dowels need to be retained in plain concrete pavements on highly erodible subbases; 3) the fact that the loading deflections are increasing at a faster rate for heavily-bound subbases, suggests some caution in their use without dowels on heavily trafficked roads; and 4) a minimum slab thickness to reduce curling and the effects of curling on pavement performance be specified for pavements subject to heavy loading. As with all accelerated trials, consideration must be given to long term environmental effects and the possibility of fines moving between the base and subbase which may change loading stresses arising with slab curl. Draining of this interface is considered essential.
ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES

This paper investigated the application of analysis techniques develoepd by Box and Jenkins to freeway traffic volume and occupancy time series. A total of 166 data sets from three surveillance systems in Los Angeles, Minneapolis, and Detroit were used in the development of a predictor model to provide short-term forecasts of traffic data. All of the data sets were best represented by an autoregressive integrated moving-average (ARIMA) (0,1,3) model. The moving-average parameters of the model, however, vary from location to location and over time. The ARIMA models were found to be more accurate in representing freeway time-series data, in terms of mean absolute error and mean square error, than moving-average, double-exponential smoothing, and Trigg and Leach adaptive models. Suggestions and implications for the operational use of the ARIMA model in making forecasts one time interval in advance are made. /Author/
Extraction of Ultrafine Titania from Black Sands Broaden on the Mediterranean Sea Coast in Egypt by Molten Alkalies

The work in this article was devoted to investigate the different reaction variables affecting the extraction of titania from ilmenite fraction separated from black sands broaden along the beach of Mediterranean Sea coast, North Egypt, by means of interaction with fused KOH as well as NaOH. The complete extraction of titania was found to be achieved in case of heating one mole of TiO2 (in ilmenite) with 3 moles of fused KOH at 350C for 1 h, whereas this achievement could be verified, only, when one mole of titania, (in ilmenite) reacted with 4 moles of fused NaOH at 350C for 1h. The reaction products were identified in order to suggest the processes which lead to preparation of pure titania and exploitation of produced iron oxide as well as excess reagent in producing commercially useful inorganic compounds. The products in case of reaction with fused KOH namely are, K2TiO3, KFeO2, K3FeO4, K3Ti8O17, Fe3O4, FeTiO3, KAl6O9.5, TiO2, SiO2 and KAlO2, whereas in case of using fused NaOH they are namely, Na2TiO3, NaTiO2, Fe3O4, NaFe2O3, Na5AlO4, NaFeO2, Na4Ti3O8, FeTiO3. The reaction processes which governed the formation of these compounds were discussed thoroughly where the chemical equations which clarified these processes were presented. Depending on the results of investigation, a method was proposed for preparation of pure titanium dioxide as well as iron oxide in addition to the desire salt produced from neutralization of excess alkali. The proposed method is promising and economic since the price of chemicals and acids used in preparation of titania comprise not more than 60% of price of titania and resulted byproduct salt (eg. Na2SO4).
NATIONAL MERIT SCHOLARSHIP CORPORATION

In studying college effects, an input-output model is commonly used in which 'student input is controlled by using regression analysis to compute an "expected" output. The part correlation of the college environment variable and the output with input variance removed only from the output is inte:Treted as a measuTe of the college effect. However, this is not the most useful procedure that may be used since part (or partial) correlation may severely underestimate the magnitude of the true college effect. Interpreted within a causal model, partial regression coefficient,s appear to be a generally more satisfactory measure of college effects. Four models are used to illustrate the advantages of using partial regression coefficients in a causal framework. Another advantage in using these coefficients is that they have greater stability across different units of
Flexible Assembly Systems: Assembly by Robots and Computerized Integrated Systems

1. Introduction. - 2. Specification of System. - 3. Material Control. - 4. Work Centers. - 5. Product. - 6. People. - 7. Robots. - 8. Machine Senses. - 9. Failure Analysis. - 10. Economics of FASs. - 11. FAS of the Future. - 12. Conclusion. - References.
Broadband Microwave Amplifiers

Overview on Broadband Amplifiers. Principles and Applications of Distributed Amplifiers. Device Structure and Mode of Operation. Device Characterization and Modeling. Amplifier Class of Operation. Design of Broadband Microwave Amplifiers. Fabrication of Broadband Amplifiers. Ultra-Broadband Hybrid and Broadband Monolithic Amplifiers.
Introduction to Microsystem Technology: A Guide for Students

Preface. List of Symbols. List of Abbreviations. 1 Introduction. 1.1 What is a Microsystem? 1.2 Microelectronics and Microsystem Technology. 1.3 Areas of Application and Trends of Development. 1.4 Example: Yaw Rate Sensor. 2 Scaling and Similarity. 2.1 Scaling. 2.2 Similarity and Dimensionless Numbers. 3 Materials. 3.1 Overview. 3.2 Single Crystalline Silicon. 3.3 Glasses. 3.4 Polymers. 3.5 Thin Films. 3.6 Comparison of Material Characteristics. 4 Microfabrication. 4.1 Overview. 4.2 Cleanliness During Production. 4.3 Lithography. 4.4 Thin-film Formation. 4.5 Layer Patterning. 4.6 Anisotropic Wet Chemical Deep Etching. 4.7 Doping. 4.8 Bonding Techniques. 4.9 Insulation Techniques. 4.10 Surface Micromachining. 4.11 Near-surface Micromachining. 4.12 HARMST. 4.13 Miniaturized Classical Techniques. 4.14 Selection of Microtechnical Manufacturing Techniques. 5 Packaging. 5.1 Tasks and Requirements. 5.2 Functions of Packaging. 6 Function and Form Elements in Microsystem Technology. 6.1 Mechanical Elements. 6.2 Fluidic Elements. 6.3 Thermal Elements. 7 Sensors and Actuators. 7.1 Reversible and Parametric Transducers. 7.2 Transducers for Sensors and Actuators. 8 Design of Microsystems. 8.1 Design Methods and Tools. 8.2 Systems with Lumped Parameters. 8.3 Systems with Distributed Parameters. 9 Effect of Technological Processes on Microsystem Properties. 9.1 Parameter-based Microsystem Design. 9.2 Robust Microsystem Design. 10 The Future of Microsystems. 10.1 Status and Trends in Microsystem Technology. 10.2 Microoptical Applications. 10.3 Probe Tips. 10.4 RF Microsystems. 10.5 Actuators. 10.6 Microfluidic Systems. 10.7 Chemical, Biological and Medical Systems. 10.8 Energy Harvesting and Wireless Communications. 10.9 Micro Fuel Cells. References. Appendix A Physical Constants. Appendix B Coordinate Transformation. B.1 Elastic Coefficients. B.2 Piezoresistive Coefficients. References. Appendix C Properties of Silicon Dioxide and Silicon Nitride Layers. References. Appendix D Nomenclature of Thin-film Processes. Reference. Appendix E Adhesion of Surface Micromechanical Structures. E.1 Capillary Forces. E.2 Critical Length of Cantilever Springs. Reference. Index.
ASSESSING THE COMMERCIAL BENEFITS OF IMPROVING STATION FACILITIES AND INFORMATION PROVISION

Whilst there is plenty of evidence on the value rail users place on variables such as journey time and frequency, relatively little information exists in relation to 'soft' variables such as station facilities and information provision. As a result Halcrow Fox and Associates and the Institute for Transport Studies were commissioned by Regional Railways in September 1992 to quantify in monetary terms the benefits of enhancements to information and station facilities. The approach involved qualitative research, an extensive literature review and the use of a range of market research based techniques including both willingness to pay and more sophisticated stated preference techniques involving 'within' and 'between' mode experiments. The results show that some previous research may have tended to overvalue station improvements and information provision. (A) For the covering abstract see IRRD 866258.
Color Based Object Sorting System using Deep Learning

Object sorting is a very common industrial application but at the same time it is a tiresome process as handling so many objects is a menial task which is not so promising in maintaining consistency and thereby arising quality issues. Object sorting, if done manually, is not only time consuming but also it seems to be an uphill task pragmatically. Nowadays amid various technological advancements, industries have become fully automated so an automated sorting system is essentially required to replace this conventional system of manual sorting knowing that this process can be made completely autonomous by properly channeling the use of technology. The main objective of this paper is to propose a smarter, intelligent and cost-effective object sorting system which categorizes the objects based on their respective color and will place them at their designated locations to minimize the cost and optimize the productivity. We have implemented the sorting system using Raspberry pi (an open-sourced Linux based board) interfaced with a camera module along with some side electronic circuitry such as servo motors and sensors. The color recognition is done using the IBM Watson visual recognition model where we have uploaded the dataset of captured images. For picking and sorting the objects, we have made use of a robotic arm that will rotate with the help of servo motor up to certain angles.
Monitoring Treatment Response In Patients Undergoing Concurrent Chemoradiotherapy for Locally Advanced Uterine Cervical Carcinoma Using Intravoxel Incoherent Motion Imaging: A Systematic Review And Meta-Analysis

Background: To the best of our knowledge, there are no systematic reviews or meta-analyses on the use of IVIM to assess treatment response of cervical cancer patients undergoing CCRT. Therefore, this study aimed to determine the role and optimal parameters of intravoxel incoherent motion imaging (IVIM) for evaluating treatment response in patients undergoing concurrent chemoradiotherapy (CCRT) for uterine cervical cancer.Methods: We searched the PubMed, PMC, EMBASE, Cochrane Library, and Ovid databases. Two reviewers independently performed data extraction, checked patient inclusion criteria, conducted the imaging protocols and follow-up for treatment response, recorded IVIM parameters, and performed quality assessment.Results: Six studies with 237 patients were included in our meta-analysis. The mean patient age ranged between 47 and 69 years. The International Federation of Gynecology and Obstetrics (FIGO) staging varied from Ib1 to IVb. The pooled mean values of apparent diffusion coefficient (ADC), tissue diffusion (D), and perfusion fraction (f) were 0.51, 0.18, and 6.24, respectively, in the complete response (CR) group, while the values were 0.38, 0.16, and 5.84, respectively, in the non-complete response (non-CR) group. In the subgroup meta-analysis, the ADC and D values in the CR group were higher compared to the non-CR group. Similarly, the incremental increase in f values in the CR group was higher compared to the non-CR groups (3.26, 5.84). All studies had a higher risk of bias in quality assessment due to study confounding and attrition.Conclusions: IVIM could be used to monitor the pre- and post-treatment response of cervical cancer patients undergoing CCRT. Early response assessment could begin 1 week after CCRT. However, we were unable to determine the optimal IVIM parameter from our analysis.
A Tool Kit for Evaluating Electronic Flight Bags

Over the past few years, the Volpe Center has developed a set of five tools that can be used to evaluate Electronic Flight Bags (EFBs) from a human factors perspective. The goal of these tools is to help streamline and standardize EFB human factors assessments by the Federal Aviation Administration (FAA). The tools were developed and documented for the FAA in order to facilitate the identification and resolution of human factors/pilot interface issues with EFB systems, either in terms of design and/or operational use. The tools are designed for use by evaluators who are not human factors experts. They can be used at different stages of EFB development for different types of evaluations. By understanding the tools before beginning the approval process, the most appropriate tools can be selected, customized, and incorporated into the EFB evaluation at relatively little incremental cost. This report contains descriptions of the tools and practical information on when and how to use each tool. The appendices to this report contain the full version of every tool.
An Intelligent Stingless Bee System with Embedded IOT Technology

Stingless bee is one of the bees that produce expensive honey because stingless bee only produces less than 1kg honey per year. Due to improper management and security been imposed, stingless beehive is continuously been targeted by thief for its valuable honey production. The bee farmer also is facing difficulty in tracking and monitoring the number of their beehives that are scattered in certain area in their farm. Taking serious consideration on a good quality of honey production, temperature is the major issues to concern. Honey production can be affected by extreme temperature. When the temperature is too high, the stingless bees become irritable or contradictory, when temperature is too low, the stingless bees become motionless. Therefore, the need for continuously tracking and monitoring of the beehive is crucial to conserve the quality honey production. The objective of the research is to analyze the suitable temperature for bee productivity. Next is to design a system that gives ability for the bee farmer in monitoring of their bee hive from anywhere and anytime via web based. This paper presents the development of an IOT technology in our targeted stingless beehive system at Nature n Trigona Garden, a stingless bees company in Kemaman, Terengganu, Malaysia. We develop a device which is coded using Arduino IDE 1.8. 9 underlying with a sensor and microcontroller with a low battery powered, and installed at each particular beehive. The results shows that our design and implementation of the IOT devices in each beehive has achieved a success. The main contribution of this research is such that the bee farmer is able to monitor their beehive in real time as well as the system can trigger notification to user when any abnormal incidents happens to their hive.
A Study on the Relationship between Students’ Computer Self-Efficacy and Use of ICT in Learning Mathematics: The Level of Students’ Mathematics Ability as a Mediator

In this information age, information, and communication technology (ICT) has changed in the field of education system. While it is important that students have to be able to use ICT in Mathematics classroom. This study discovered the factor that influence on students’ computer self -efficacy and use of ICT in learning Mathematics based on their level of Mathematics ability. 120 Mathematics students from the state of Zanjan in Iran were randomly selected from a simple random sampling technique. In this paper the researcher examined the relation between students’ computer self - efficacy and students’ use of ICT in learning mathematics based on their level of Mathematics ability. Students’ computer self - efficacy was positively correlated with the students’ use of ICT for learning Mathematics [r = . 41; p <. 001]. A structural equation modeling (SEM) analysis showed that more than 66% of the variation in student’ use of ICT in the Mathematics classroom was explained by the variation in students’ computer self -efficacy based on medium and weak level of Mathematics ability.
Dynamic Controllable Mesh Deformation in Interactive Environments

The purpose of this project was to research and develop methods for managing the deformation of complex geometric meshes with specific reference to interactive computer games. Bugbear Entertainment has a proven record of accomplishment in the development of car racing games. The creation and management of deformable meshes in real time is a vital component in such games, since it allows the player to visually experience the effect of a real-life car accident. This thesis is meant for people having basic understanding of computer graphics simulation in general, as well as a basic mathematical background for the matrix algebra.
A unified method for signal parameter estimation of arbitrarily distorted single-phase grids with DC-offset

A unified method is presented which allows toestimate all harmonic components, DC-offset and fundamen-tal frequency in arbitrarily distorted single-phase grids us-ing a frequency-adaptive observer (FAO) consisting of modi-fied Second-Order Generalized Integrators (mSOGIs), a DC-Integrator (DCI) and a modified Frequency Locked Loop(mFLL). DCI and mSOGIs are tuned by pole placement which allows for an arbitrarily fast detection of DC-offset and harmonic components if the fundamental frequency is known. If the fundamental frequency must be estimated as well, a mFLL with Gain Normalization (GN), Rate Limitation (RL), Anti-Windup (AW) strategy and low-pass filters (LPF) must be employed. The effectiveness of the proposed FAO is validated by experimental results and its enhanced performance is shown by comparisonsto existing estimation methods.
Acoustic emission monitoring of steel bridge members

This report describes the results of a study to characterize the acoustic emission (AE) associated with steel cracking and various sources of noise in a typical bridge environment. It summarizes previous applications ofAE monitoring of steel bridges and describes the AE field testing of five bridges in Virginia, including extensive data and discussion of the field testing of the active cracking of a hanger on the Rte. 29 bridge over the Robinson River in Madison County. The study revealed that AE monitoring is sensitive to the acoustic energy emitted by steel bridge members during the formation and growth of cracks. It is the only method that can distinguish between active and benign cracks. It is also possible to discriminate between AE caused by crack growth and irrelevant noise. AE information can be significant in making repair or replacement decisions, and AE could be used for the continuous remote monitoring of critical bridge members or even entire bridges. A database developed from AE studies would allow the integration of real-time monitoring of the deterioration of steel bridge members into bridge management and decision making in lieu of frequent visual inspections.