Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating the effect of ultraviolet aging on the healing capacity of bitumen containing taconite tailings

ABSTRACT Bitumen’s evolution during aging includes oxidation, aromatization, chain scission, and carbonation, which alter bitumen’s properties of diffusivity and thermal conductivity and consequently bitumen’s healing capacity. To improve bitumen’s healing capacity after aging, there is a need to revitalize aged bitumen and restore its properties. This study studies the effect of ultraviolet (UV) aging on the healing capacity of bitumen containing different dosages of taconite tailings (a material with metal oxide as its main component). In addition, it examines whether the healing capacity of aged bitumen can be restored post-aging with the help of a rejuvenator made from waste vegetable oil. A healing index was used to measure the evolution of healing capacity in bitumen samples during aging and rejuvenation, using rheometry and spectroscopy. The study results show that exposure to UV aging increases the chemical aging index and rheological aging index, which makes bitumen stiffer and increases bitumen's complex modulus. This study further shows that taconite tailings accelerate the aging process of bitumen and increase its thermal conductivity. It was found that despite the negative effect of taconite tailings on bitumen aging, the presence of taconite tailings increased the healing capacity of bitumen. Results showed the healing capacity of bitumen containing taconite after being exposed to UV aging for 100 h and 200 h was up to 55.09% and 53.53% higher than that of bitumen without taconite, respectively. The samples with a higher content of taconite showed a higher healing capacity. Also all samples regardless of taconite dosage had higher healing capcity when rejuvnetor was present.
A compact, one‐piece, metal‐plate patch PIFA for 2.4‐GHz WLAN operation

A simple, standalone, one‐piece patch PIFA operating in the 2.4‐GHz WLAN band is introduced. The antenna was first constructed by stamping a rectangular flat plate, which has an area of 10 × 62 mm2, and then bent two times to form a compact patch antenna with dimensions 5 × 10 × 35 mm3. The top patch is of the same width as the antenna ground plane and set 5 mm therein above. The feeding and shorting portions of the antenna are all located on the same, short side of the top patch. This arrangement makes the proposed antenna quite easy to manufacture and also facilitates the feeding‐cable soldering. With a low profile of the design and the use of the coaxial‐line feed, the antenna was further applied to a wireless LCD TV for the antenna operating frequency and radiation performance analyses. Details of the design prototype are discussed in the article. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26134
Medical Prognosis of Infectious Diseases in Nursing Homes by Applying Machine Learning on Clinical Data Collected in Cloud Microservices

Background: treating infectious diseases in elderly individuals is difficult; patient referral to emergency services often occurs, since the elderly tend to arrive at consultations with advanced, serious symptoms. Aim: it was hypothesized that anticipating an infectious disease diagnosis by a few days could significantly improve a patient’s well-being and reduce the burden on emergency health system services. Methods: vital signs from residents were taken daily and transferred to a database in the cloud. Classifiers were used to recognize patterns in the spatial domain process of the collected data. Doctors reported their diagnoses when any disease presented. A flexible microservice architecture provided access and functionality to the system. Results: combining two different domains, health and technology, is not easy, but the results are encouraging. The classifiers reported good results; the system has been well accepted by medical personnel and is proving to be cost-effective and a good solution to service disadvantaged areas. In this context, this research found the importance of certain clinical variables in the identification of infectious diseases. Conclusions: this work explores how to apply mobile communications, cloud services, and machine learning technology, in order to provide efficient tools for medical staff in nursing homes. The scalable architecture can be extended to big data applications that may extract valuable knowledge patterns for medical research.
Generalised Choquet Integral Algorithm for Subcontractor Selection in the Textile Industry - A Case Study for Turkey

Turkish textile firms work under a heavily competitive atmosphere in terms of prices due to globalisation. Firms have to take into consideration several criteria in order to survive the global market conditions and to maintain profitability. Contractor companies have to select the optimal subcontractor in order to meet these criteria and in business. Therefore the decision to choose subcontractors is of great importance for the success of enterprises. In solving the problem of subcontractor selection, multiple criteria should be considered, for which multi-criteria decision-making methods are used. This paper presents a case study which regards the selection of the optimal subcontractor for a Turkish textile firm. In order to solve the selection problem generalized Choquet integral methodology was used based on a hierarchical decision model. In the conclusion section of the study, optimal subcontractor selection results are presented.
The Horse as an Urban Technology

Freight and passengers have always needed to be transported in urban areas, even before the advent of motor vehicles. This paper describes the role that horses played in 19th century urban transportation. Although the railroad was efficient at transporting goods and people over long distances, much intracity transport was done through the use of horses. Cities depended on horse for internal freight movement, public transportation, private travel and emergency services. Horses were seen primarily as machines, and their efficiency was closely monitored. However, the emotional and intellectual attributes of horses were somewhat recognized. Horses that did not become nervous from sensory overload were valued, as were horses that could learn routes. Horses had many insurmountable limitations as efficient machines, including externalities such as manure, noise, and short lifespan. When electric streetcars and later motor trucks and cars were developed, the horse quickly became obsolete as a form of urban transportation.
Joint wireless communication and radar sensing systems - state of the art and future prospects

The historical development and current state-of-the-art of various joint wireless communication and radar sensing systems are reviewed and discussed in this study. Different kinds of systems are categorised according to their modulation waveforms and duplex schemes. Pros and cons of each category are highlighted. To showcase the current research advances, several demonstration systems are introduced with emphasis on proposed research contributions in this emerging area, and their performances are compared with respect to both communication and radar modes. Also, a number of challenges are identified for the near future system developments and applications.
Generalized Confidence Intervals for Zero-Inflated Pareto Distribution

This paper considers interval estimations for the mean of Pareto distribution with excess zeros. Three approaches for interval estimation are proposed based on fiducial generalized pivotal quantities (FGPQs), respectively. Simulation studies are performed to assess the performance of the proposed methods, along with three measurements to determine comparisons with competing approaches. The advantages and disadvantages of each method are provided. The methods are illustrated using a real phone call dataset.
Electromagnetic and bandwidth performance optimization of new waveguide polarizers with septum of a stepped-thickness type for satellite systems

Development and optimization of new waveguide polarizers with conducting stepped-thickness septum were performed in the article. Matching and polarization performance of novel microwave devices were accurately modelled using numerical finite elements method. An experimental prototype of the developed waveguide polarization converter with the suggested configuration of a septum was manufactured and measured. It was demonstrated that the application of a stepped-thickness conducting septum with 3 sections instead of a constant-thickness conducting septum improves return losses and cross-polarization isolation of the square waveguide polarization converter by 5 and 7 dB, respectively. In addition, measured cross-polarization isolation of the developed septum waveguide polarizer in an assembled antenna feed network is > 30 dB. Therefore, designed compact stepped-thickness septum polarization converter can be effectively applied in modern dual-polarization antenna systems for satellite communications and radar appliances.
Anastrozole Loaded Nanostructured Lipid Carriers : Preparation and Evaluation

Anastrozole (ANZ) is considered constitute of the fourth –generation of Non–steroidal aromatase blockage, ANZ has use for hormone receptor positive breast cancer in postmenopausal women. The serious side effects of ANZ including, vaginal dryness, hot flashes, irritability, breast tenderness and un–stability in circulation. Nanostructured lipid carriers (NLCs) have recently emerged as a multifunctional platform for drug delivery in cancer therapy. Five formula were composed of (200 mg of glyceryl monostearate, 40 mg of oleic acid , 1% (w/w) Tween 80, 1% (w/w) Poloxamer 407, 1% (w/w) soy lecithin and Vitamin E Polyethylene Glycol Succinate. The mean particle size, polydispersity index, zeta potential, entrapment efficiency, loading capacity range of optimum formula F05 (166±3.86 nm), (0.271±0.04), (–23.7±2.65 mV), (42.43±3.90%) and (1.23±0.35%) respectively that prepared by same above composition but higher amplitude value (70%). The in–vitro drug leakage study demonstrated intact formula through 5 hours, with an approximately 78.37% of the drug was encapsulated, that exhibit an anomalous release mechanism.
DEVELOPMENT AND VALIDATION OF SURVEYS MEASURING STUDENT ENGAGEMENT IN ENGINEERING, PART 2

This paper summarizes the development, testing and validation of the engineering versions of the National Survey of Student Engagement (NSSE) and its faculty version, the Faculty Survey of Student Engagement (FSSE). These engineering versions (E-NSSE and E-FSSE) assess the extent to which engineering students are being engaged by identified "best instructional practices" and are achieving certain learning outcomes desired of engineering graduates. These surveys were first pilot-tested at six engineering programs across the United States. Tests of validity and reliability were conducted on both instruments. The instruments were then refined and shortened based on the psychometric properties of the items in the original instruments. Ultimately, we hope to make the instruments available to the national engineering education community so that they might improve the ways in which they teach tomorrow's engineers. This paper will discuss the ongoing progress of both instruments as well as summarize results obtained from their administration.
The future of selling

There is no doubt that manufacturers of all sizes have gained efficiencies from speeding up the supply chain, by improving communication with suppliers and customers. But many are just beginning to see the real benefits of not just exchanging data, but sharing online information more effectively with partners. The author looks at EDI and other technologies, and sees some signs of how their use will change over the next few years.
Vehicle fleet sizing for automated material handling systems to minimize cost subject to time constraints

Vehicle fleet sizing for an Automated Material Handling System (AMHS) is an important but challenging problem due to the complexity of AMHS design and uncertainty involved in the production process; e.g., random processing time. For a complex manufacturing system such as semiconductor manufacturing, the problem is even more complex. This article studies the vehicle fleet sizing problem in semiconductor manufacturing and proposes a formulation and solution method, called Simulation Sequential Metamodeling (SSM), to facilitate the determination of the optimal vehicle fleet size that minimizes the vehicle cost while satisfying time constraints. The proposed approach is to sequentially construct a series of metamodels, solve the approximate problem, and evaluate the quality of the resulting solution. Once the resulting solution is satisfactory, the algorithm is terminated. Compared with the existing metamodeling approaches that employ a large number of observations for one time, the sequential nature of SSM allows it to achieve much better computational efficiency. Furthermore, a newly developed estimation method enables SSM to quantify the quality of the resulting solution. Extensive numerical experiments show that SSM outperforms the existing methods and the computational advantage of SSM is increasing with the problem size and the level of the variance of response variables. An empirical study based on real data is conducted to validate the viability of SSM in practical settings.
METRONOMIC CONTINUOUS ORAL CYCLOPHOSPHAMIDE (CPM) AS SECOND AND FURTHER LINE IN METASTATIC SOFT TISSUE SARCOMAS (STS) OF THE ADULT

In metastatic soft tissue sarcomas (mSTS) second and further line of therapy are poorly defined. However many patients (pts), after first line therapy including Antracyclines progress in their disease and ask to be treated. Oral cyclophosphamide (CPM) was already used in breast cancer, prostate cancer and in one study in mSTS with contrasting results. Aim of our study was to define the feasibility, tolerability and activity of oral CPM as second and further line chemotherapy in mSTS patients: 45 pts (19 M; 26 F) median age 60 (32-81), with pretreated mSTS were included. Oral CPM was given daily at total dose of 50 mg/day without interruption excepted for toxicity or progressive disease. Results: leiomyosarcoma 12, liposarcoma 10, MPNST 5, synovialsarcoma 4, indifferentiated sarcoma 4, other rarer subtypes 10. Sites of the primary tumor were: extremities 21, retroperitoneum 19, trunk 5.41 pts were metastatic, 4 locally relapsed. All 45 pts were pretreated with chemotherapy (17 were in II line, 18 in III line, 8 in IV line, 2 in V line). Median PS (ECOG) was 2. Median duration of therapy was 4.4 months (from 1 to 38 months). The 6-month PFS rate was 46%. Treatment was well tolerated: neutropenia grade 2 in 1 case, fatigue grade 2 in 7 patients, nausea grade 1-2 in 22 cases. No grade 3-4 side effects were recorded.
ULF emission induced by tension and shear cracks

Penetration of low-frequency waves through a conductive medium due to the inductive seismo-electromagnetic effect is considered by a double-potential method. The source of electromagnetic waves induced by the movement of a conductive medium in a geomagnetic field is produced by tension and shear cracks. The analytical solution for tension cracks is obtained. The system of equations describing this process in the case of shear cracks in spherical coordinates is reduced to a two dimensional nonstationary system, which is solved by a second order algorithm that conserves some integral properties of the initial equations. Results are discussed.
The design of enhanced online condition monitoring systems for turning processes

The increasing requirements of high quality and low cost of products have created an urgent need to implement new technologies in current automated manufacturing environments. Condition monitoring systems of manufacturing processes have been recognised in recent years as one of the essential technologies that provide the competitive advantage in many manufacturing environments. This paper aims to developing an effective sensor fusion model for turning processes for the detection of tool wear. Multi-sensors combined with a novelty detection algorithm are used to detect tool wear and provide diagnostic and prognostic information. A novel approach using dynamic threshold is utilised to improve the accuracy of the novelty detection system. The results found indicate that the suggested approach provides a responsive and effective solution in monitoring tool wear in turning.
Comparative analysis of skilled and unskilled behaviors in sewing-machine operation.

One of the most serious problems in current labor-intensive industries, such as clothing manufacture, is difficulty in maintaining special hand skills, especially because of aging of highly skilled workers. A systematic way to hand down special skills is therefore becoming urgently necessary. For the purpose of supporting transmission of such special skills, we propose an efficient method of clarifying the important points of highly skilled behavior.As target tasks for analysis, we selected four typical difficult operations in clothing manufacture with sewing machines. The results can be flexibly applied to any kind of sewing-machine operations. Through observation of these operations, we pointed out several factors in the differences between highly skilled operators and unskilled operators. For example, highly skilled operators always keep their elbows lower and their wrists higher, whereas unskilled operators use the opposite posture during the task.To clarify the hypothetical skill factors, quantitative measurement was performed, and an analysis method was developed to quantify the differences in behavior between highly skilled operators and unskilled operators. Task behaviors were measured with several sensing devices, such as a motion capturing device, data gloves, and a sewing-machine motor rotation counter. The proposed analysis method was applied to the experimental data, and adequacy of hypothetical skill factors was confirmed. The elbows of skilled workers are kept more than 40 mm lower than those of other workers.Qualitative analysis was also performed. Differences in motion sequence patterns were analyzed as follows: First, arithmetically characteristic points were automatically extracted from each set of time-series data for measured behavior. These characteristic points were associated with predefined symbols and the symbols were used to establish a sequence pattern. The sequence pattern of symbols obtained was identified with a task model, which is a previously defined series of motions. Thus, portions of the whole measured behavior were associated with parts of the predefined task in partial motion level. Finally, the sequence patterns of symbols obtained from highly skilled operators and unskilled operators were compared, and the differences were extracted. Corresponding parts of sequences for each motion were also compared and their differences in partial motion level were extracted.
Pengaruh Struktur Kepemilikan Terhadap Kebijakan Dividen Perusahaan Manufaktur Yang Terdaftar Di BEI

The purpose of this research is to conclude the impact of ownership structure on dividend yield. The sample in this study are companies from the manufacturing sector listed on Indonesia Stock Exchange in 2016-2020. The sampling technique used in this study is purposive sampling and the analysis method is panel data regression. The independent variables in this study are institutional ownership, foreign ownership and government ownership, and the control variable is profitability, with the dividend yield as the dependent variable. The results show that foreign ownership and profitability have a positive effect on dividend yield, while institutional ownership and government ownership have no effect on dividend yield. This study is expected to give implication for company managers. by paying attention to the amount of profit earned so that shareholders get dividend yield, and also expected to be a source of information for potential investors to see the level of profit and dividend yield given by the company to shareholders.
A Consideration of the Estimated Position Error of an IPMSM by PWM Carrier Synchronized Voltage Injection Method

This paper reported an IPMSM's rotor position estimation error by PWM carrier synchronized voltage injection method for encoder-less vector control when the operation condition and the injected voltage amplitude changes. In addition, an output voltage compensation method which is suitable for the voltage injection method is proposed. The experimental results revealed that when the output torque reached the rated value, the position estimation accuracy went down. Moreover, the proposed output voltage error compensation method improved the distortion of the fundamental-wave currents; although, the proposed method had little improvement on the position estimation accuracy.
Investigating Factors that Affect CRM Success with Using Structural Equation Modeling (Case Study: between Staffs in Isfahan R&D Scientific Small City)

Customer relation management systems can help organizations to gain the potential new customers, promote the existing customers’ purchase, maintain good relationship with customers as well as to enhance the customer value, thus can improve the enterprise images. Moreover, the development and applications of CRM systems have also been considered as important issues for researchers and practitioners in recent years. The main purpose of this study is to explore impact of organizational variables and CRM experience on CRM success. In this study, Structural Equation Modeling (path analysis and confirmatory factor analysis) has been used for data and hypotheses analysis. The results indicate that organizational variables have significantly effect on CRM success. In fact, organizational variables are found critical from the employee' point of view.
Development of the Model to Predict the Growth of Salmonella amsterdam and Salmonella bangkok in Stirred Fried Rice with Crab Meat

Central Composite Design (CCD) was used to study the main factors (temperature, pH, salt concentration, initial innoculum and incubation time) affecting Salmonella enteritidis growth in stirred fried rice with crab meat (Khao Pad Pu). The result obtained from the CCD fitting by a second-order model, using a quadratic polynomial equation, was as follow: Y = 37.024-0.005 INOC + 7.7 x 10 -7 INOC 2 + 0.001 INOC. pH + 3.5x10 -4 INOC.Time + 3.131 NaCl + 7.713 NaCl 2 - 6.8x10 -5 NaCl.INOC-2.20 NaCl.pH + 0.148 NaCl. Time-11.0 pH + 0.0927 pH 2 + 0.037 pH.Time + 0.489 Temp-0.003 Temp 2 -2.3x10 -4 Temp. INOC- 0.056 Temp.NaCl- 0.019 Temp.pH+ 0.007 Time.Temp- 0.619 Time -6.00x10 -4 Time 2 . R-square = 0.8659 This equation was used to predict the population of Salmonella amsterdam and Salmonella bangkok in Khao Pad Pu, growing under different conditions. The predicted values were compared with viable counts for validation. It was found that the R 2 were 0.618 and 0.691 for S. amsterdam and S. bangkok, respectively.
Optimization of the synchronous motor with hybrid permanent magnet excitation system

Purpose – The purpose of this paper is to elaborate an algorithm and the software for the rotor structure optimization of the permanent magnet synchronous motor (PMSM) with a magnet composed of two materials made with the use of different technologies: sintered Neodymium magnets and powder dielectromagnets. To execute of optimization of selected motor structure using the non-deterministic procedure. Design/methodology/approach – The mathematical model of the devices includes: the equation of the electromagnetic field, the electric circuit equations and equation of mechanical motion. The numerical implementation is based on finite element method and step-by-step algorithm. The genetic algorithm has been applied in the optimization procedures. The computer code has been developed. Findings – The elaborated computer software has been applied for the optimization and design of PMSMs. The elaborated algorithm has been tested and a good convergence has been attained. The parameters of two optimal structures of .