Miracle-dz/UniFAR-FTUs huggingface dataset:
Design considerations for extremely high-Q integrated inductors and their application in CMOS RF power amplifier

An extremely high-Q monolithic inductor (Q>2000) on silicon substrate was reported by Pehlke, Burstein and Chang (see Proceedings of the IEEE International Electron Device Meeting, pp. 63-6, 1997). The reported Q is 3 order of magnitude higher than a previously reported monolithic inductor. Such high quality factor may greatly improve the performance of monolithic RF circuits. Both 1-port (one terminal at ground) and 2-port (no terminal at ground) scattering parameters of the high-Q inductor were compared to examine any possible differences in device characteristics. A broadband physical model of the active inductor on silicon are presented to illustrate the improvement of quality factor. A design space with a range of gain and phase difference of current in the coils of the active inductor is reported. A typical application of the active inductor in CMOS RF power amplifier design is shown to illustrate the feasibility of applying the active inductor in RF circuits design.
Performance Evaluation of Wave Energy Converters

Ocean waves provide a sustainable, power-dense, predictable and widely available source of energy that could provide about 10 % of worlds energy needs. While research into waveenergy has been undertaken for decades, a significant increase in related activities has been seen in the recent years, with more than 150 concepts currently being developed worldwide. Wave energy conversion concepts can be of many kinds, as the energy in the waves can be absorbed in many different ways. However, each concept is expected to require a thorough development process, involving different phases and prototypes.
A Study of the Relationship between Social Control and Disorder Among Citizens of Dehdasht

Introduction Order is one of the most important necessities of social life with numerous functions. At the individual level, it leads to success in goal achievement and increasing self-esteem and happiness. At the organizational level, it causes improvement in efficiency and at the social level, it causes reduction in crime rates, improving thereby security, encouragement of pro-social behaviors, social cohesion and development. Although everyone acknowledges the importance of order in life according to their human nature, when it comes to practice, many people are not disciplined. Concept of disorder includes a broad range of features such as confusion, disorganization, disruption, and chaos. In other words, disorder is indicative of erosion in values and norms. It is an important social problem especially in urban areas in Iran. At the behavioral level, disorder is influenced by multiple factors, but many researchers believe that there is a significant relationship between social control and disorder. Therefore, based on control theory, we assume there is a direct relationship between performance of control systems and the degree of disorder. In other words, if the systems of social control perform better monitoring on the behavior of people through formal or informal mechanisms, disorder or deviation from cultural values and norms will be reduced. But this relationship has been rarely considered in Iran. Accordingly, the main objective of this study is to investigate the relationship between social control and disorder in Dehdasht, which is one of the three major cities of KohgiloyeBoyerahmad province in south west of Iran.
Reading-Weibo: A Sina Weibo Oriented Data Mining System

Sina Weibo, as the most popular Chinese microblogging social network, has huge amounts of information that reflects all aspects of our social life. For discovering the hidden patterns or rules, this paper presents a Sina Weibo oriented data mining system named as Reading-Weibo. The system can conduct an on-line, multi-dimensional (nine dimensions), interactive and dynamic analysis on the transmission of a single microblog. The workflow of Reading-Weibo and its sentiment analysis module, the regional distribution module and propagation tree module are introduced with examples. Finally, we put forward our views on the future work in microblog mining field.
The development of RAMSIS in past and future as an example for the cooperation between industry and university

The digital human model RAMSIS was developed enforced by the German automotive industry by the cooperation of the commercial enterprise Tecmath and the Institute of Ergonomics of the Technische Universitat Munchen. During the first development phase from 1986–1993 the anthropometric model and a posture prediction model with integrated discomfort evaluation based on joint angles was created. In the second and the actual phase, a strength model is added, which allows evaluating discomfort also by the exploitation of maximum strengths. Further the contact between the seat and the digital model can be calculated and evaluated on the basis of extensive experiments. Actually a model of motion prediction is developed that allows simulating motions depending on external conditions defined by CAD data. Further research is done to predict the dynamic discomfort during this motion.
Gross testicular morphometric parameters and sperm reserves in indigenous Ghanaian West African dwarf goats

The West African Dwarf (WAD) goat has genetic potentials that can be exploited for improved goat production. However, their testicular morphometric parameters and sperm reserves in Ghana are not well known. A cross-sectional study was conducted at the Sabtiu Musah abattoir in Kumasi, Ghana, to evaluate the gross testicular morphometric parameters and sperm reserves in 10 indigenous WAD goats. The samples were stored on an ice chest and transported to the Regional Veterinary Laboratory for analysis on the day of collection. In the laboratory, the testes and epididymis were separated by dissection and then freed of all connective tissue and the Tunica albuginea. The weight, length, width and volume of the testis were determined. A segment of testicular parenchyma was incised and homogenized in a 20 ml normal saline solution. The resulting homogenate was stored in the refrigerator overnight and a filtered aliquot used for estimating spermatid concentration and sperm reserves. The weight, length, width, volume of the testis and the gonadosomatic index were 70.09 ±14.19 gm, 7.46 ± 0.52 cm, 5.08 ± 0.62, cm, 102.40 ± 29.40 ml and 5.09 ± 0.07%, respectively. The sperm reserves per the whole testis, sperm reserves per gramme testis, Daily Sperm production (DSP), and DSP per gramme testis of Ghanaian WAD bucks were 146.0 ± 50.95, 2.2 ± 0.62, 41.01 ± 14.3 and 0.62 ± 0.17 x109 spermatozoa, respectively. Indigenous West African Draft goats have a high potential for sperm production. It is recommended that further research be conducted on the semen quality parameters of this breed.
Sustainable water and waste management in urban areas

Sewerage system and centralised aerobic wastewater treatment plants (WTP) should not be considered as the only possible solution for sanitation. Systems with source control can avoid many problems of the end-of-pipe technology by respecting different qualities of wastewater and by treating them appropriately for reuse. Different qualities of waste and wastewater in human settlements and appropriate treatment technologies can be: 1. low diluted faeces with/without urine and bio waste (composter or anaerobic digester), 2. grey ·water/aerobic biofilm plant, 3. storm water (usage and infiltration) and 4. non-biodegradable waste (reuse as raw material). In order to perform resource management, the material originating from agriculture should be returned to the soil as fertiliser. Of similar importance is the organic material. This helps maintaining or building up humus and creates a sink for carbon when the C-content in the soil is increased. Energy will be saved, too: energy-intensive aerobic treatment with nitrification is obsolete as well as the production of the respective amount of replaced artificial fertiliser. A pilot project for a new settlement for about 300 inhabitants in Lubeck, Germany, shall demonstrate the feasibility of a new integrated system with vacuum toilets and pipes for the collection of black water. This will be mixed with shredded bio waste and fed to a semicentralised biogas plant that produces liquid fertiliser without dewatering. Grey water will be treated in decentralised biofilm systems. Storm water is collected, retained and infiltrated in a trench system. This way the expensive centralised sewerage system can be avoided for this settlement.
On Machine Translation of User Reviews

This work investigates neural machine translation (NMT) systems for translating English user reviews into Croatian and Serbian, two similar morphologically complex languages. Two types of reviews are used for testing the systems: IMDb movie reviews and Amazon product reviews. Two types of training data are explored: large out-of-domain bilingual parallel corpora, as well as small synthetic in-domain parallel corpus obtained by machine translation of monolingual English Amazon reviews into the target languages. Both automatic scores and human evaluation show that using the synthetic in-domain corpus together with a selected sub-set of out-of-domain data is the best option. Separated results on IMDb and Amazon reviews indicate that MT systems perform differently on different review types so that user reviews generally should not be considered as a homogeneous genre. Nevertheless, more detailed research on larger amount of different reviews covering different domains/topics is needed to fully understand these differences.
Modeling of Area-Constrained Ice Storage Tanks

This paper describes the development and validation of a model based on physical parameters that can predict the thermal performance of area constrained ice-storage tanks. The model, which builds on the work of Jekel et al. (1993), was used to study the effect of assumptions and operating conditions on tank performance during charging and discharging. In particular, it was found that the contents of the tank can be treated as a lumped system with the heat-transfer rate modeled using the product of an overall conductance and log-mean temperature difference. Consistent with the results of Jekel, heat-transfer effectiveness was found to be highly coupled to flow rate and insensitive to the inlet temperature of the fluid used to charge and discharge the tank. Results of the model were compared with experimental data obtained from a well-instrumented thermal storage system at Purdue University. The average difference between the predicted and experimental heat-transfer rates during charging was about 6%, while.
Research on the Battlefield Ferromagnetic Targets Recognition

In-depth analysis of the characteristics of the battlefield on the basis of ferromagnetic targets, according to the problems of magnetic fuse detection system, such as low detection resolution and poor status of target recognition, the new type of magnetic sensors based on Giant Magneto-Impedance(GMI) effect, because of the sensitivity, power consumption, etc. natural advantages, with its fuse detection system for the magnetic core components, combined with fuzzy neural networks, can guarantee that probe nano-Tesla(nT) accurately identify the target within the scope. Then, equable magnetization rotation elliptic is used to simulate the tank and military truck, taking the magnetic moments and semi-focal length, that are Mx, My, Mz and c, as recognition characteristic quantity, and the FNN is used to recognize the tank and military truck including the categories and motion directions. The method achieved good recognition results through experimental verification, and it has great significance to improve detection range and recognition accuracy.
Time response of a controllable multiplate magnetorheological fluid limited slip differential clutch

This study focuses on investigation of the time response of a controllable limited slip differential (LSD) clutch consisting of an on-off close-loop control system and a magneto-rheological fluid (MRF). The control law of the controller is based on velocity feedback where the main goal is to keep the relative velocity of the input and output shafts of the clutch less than a predetermined threshold value. The response time of the control system (including the DAQ system and the computer) and the MRF LSD clutch is examined both theoretically and experimentally. System identification experiments are performed to determine the parameters such as bearing friction coefficients, dry and viscous clutch torque coefficients. These coefficients are used in theoretical response time analysis of the MRF LSD clutch using MATLAB Simulink. It is demonstrated that, the simple on-off closed-loop control system is feasible for this clutch application. The response time reduces by increasing solenoid current and increasing velocity. The theoretical model predictions are in good agreement with the experimental results.
Traffic Foreground Detection at Complex Urban Intersections Using a Novel Background Dictionary Learning Model

In complex urban intersection scenarios, due to heavy traffic and signal control, there are many slow-moving or temporarily stopped vehicles behind the stop lines. At these intersections, it is difficult to extract traffic parameters, such as delay and queue length, based on vehicle detection and tracking due to the dense and severe occlusion of vehicles. In this study, a novel background subtraction algorithm based on sparse representation is proposed to detect the traffic foreground at complex intersections to obtain traffic parameters. By establishing a novel background dictionary update model, the proposed method solves the problem that the background is easily contaminated by slow-moving or temporarily stopped vehicles and therefore cannot obtain the complete traffic foreground. Using the real-world urban traffic videos and the PV video sequences of i -LIDS, we first compare the proposed method with other detection methods based on sparse representation. Then, the proposed method is compared with other commonly used traffic foreground detection models in different urban intersection traffic scenarios. The experimental results show that the proposed method performs well in keeping the background model being unpolluted from slow-moving or temporarily stopped vehicles and has a good performance in both qualitative and quantitative evaluations.
Applications of super-resolution imaging in the field of surface topography measurement

A large range of high-value manufactured parts require structures to be produced over large areas (metres squared) at high-resolution (micrometres and smaller). Such manufacturing puts demands on the metrology that is required to assure product quality. High-speed, in-line metrology solutions are required to operate over large ranges with high-resolution. In this review, the use of optical super-resolution techniques to enhance the dynamic range of surface topography measuring instruments to allow them to be used in high dynamic range manufacturing scenarios will be highlighted. A brief discussion of optical super-resolution will be given, followed by a presentation of applications that may be able to benefit from optical super-resolution techniques, from the fields of microelectronics, structured surfaces and roll-to-roll manufacturing.
An innovation process model for identifying manufacturing paradigms

Increasing changes in an organizational context require establishing an innovation process model for identifying manufacturing paradigms. Although many manufacturing paradigms have been developed since 1970, there is no innovation process model for manufacturing paradigms. In order to improve the efficiency and effectiveness of developing a new manufacturing paradigm, this paper proposes the Manufacturing Paradigm Innovation Model (MPIM), which is composed of the Manufacturing Paradigm Tree (MPT), Innovation Sources for manufacturing paradigms, and the Manufacturing Paradigm Innovation Process Model (MPIPM). MPT can depict the relationships among the objectives and the practices of a manufacturing paradigm. With MPT, the manufacturing paradigm can be understood more effectively and holistically. MPT can help assess the maturity of a manufacturing paradigm and help identify a new manufacturing paradigm. The Innovation Sources can direct innovators to seek new practices when developing the new manufacturing paradigm. MPIPM consists of eight stages to develop the new manufacturing paradigm. MPIPM can be illustrated by examining the history of Toyota Motor Corporation between 1948 and 1963 when lean production was pioneered.
DEVELOPMENT, CHARACTERIZATION AND IN VITRO RELEASE KINETIC STUDIES OF IBANDRONATE LOADED CHITOSAN NANOPARTICLES FOR EFFECTIVE MANAGEMENT OF OSTEOPOROSIS

Objective: The objective of the present study was to develop, optimize, and evaluate Ibandronate-sodium loaded chitosan nanoparticles (Ib-CS NPs) to treat osteoporosis. Methods: NPs were prepared by the Ionic gelation method and optimized for various parameters such as the effect of concentration of chitosan, sodium tripolyphosphate (TPP), and pH effect on particle size polydispersity index (PDI), zeta potential, and entrapment efficiency. The prepared nanoparticles were characterized using particle size analyzer (DLS), transmission electron microscopy (TEM), scanning electron microscopy (SEM), and Fourier-Transform Infrared spectroscopy (FTIR). Results: Formulated NPs were obtained in the average nano size in the range below 200 nm in TEM, SEM, and DLS studies. The particle size and encapsulation efficiency of the optimized formulation were 176.1 nm and 63.28%, respectively. The release profile of NPs was depended on the dissolution medium and followed the First-order release kinetics. Conclusion: Bisphosphonates are the most commonly prescribed drugs for treating osteoporosis in the US and many other countries, including India. Ibandronate is a widely used anti-osteoporosis drug, exhibits a strong inhibitory effect on bone resorption performed by osteoclast cells. Our results indicated that Ibandronate sodium-loaded chitosan nanoparticles provide an effective medication for the treatment of osteoporosis.
Neuro-detector Based on Coherence Analysis for Stator Insulation in Electric Motors

Abstract This research describes the monitoring of the fundamental spectral features of stator insulation damage through accelerated aging studies for induction motors with a power rating of 5 HP. In order to accomplish this goal, even-harmonic values of the line frequency defined between the 4th and the 16th harmonics, which are computed by the coherence approach between the stator currents and vibration signals, are determined as indicators of stator insulation damage. After this determination, a neuro-detector based on the auto-associative neural structure is trained in the frequency domain. This uses coherence variations and even-harmonic values as indicators of the insulation damage of an induction motor by observing the changes in the errors (residuals) generated by the neural net.
Seismic Assessment of a Historical Tower with Advanced Numerical Model Tuned on Ambient Vibration Data

This paper deals with the dynamic characterization and the evaluation of the seismic response of the medieval civic tower of Soncino (Cremona, Italy). The dynamic characteristics and the mechanical properties of the masonry tower are evaluated through ambient vibration tests, which provide results in a fast and non destructive way with respect to the traditional methods such as forced vibration tests. Nonlinear static and dynamic analyses are performed on a finite element model of the tower calibrated on the results of the dynamic identification. The damage levels and the seismic capacity of the structure are also evaluated. The obtained results allow to predict the seismic behaviour of the tower and to define possible strengthening and restoration interventions.
Nonlinear reconfigurable flight control system using multiple model adaptive control

Abstract In this study, adaptive control methodology using multiple models is proposed to design a reconfigurable controller for nonlinear systems. An adaptive model and fixed parameter models are used for mode switching, and a re-initialized adaptive model is considered. The conventional mode switching method based on multiple model adaptive control does not guarantee the stability of the closed-loop system. To improve the adaptiveness of a nonlinear system while maintaining the stability, mode switching scheme is modified and a new decision logic is considered. In the mode switching control scheme, forgetting factor and adaptive time concepts are introduced based on the selected model for reconfiguration. An error threshold value is used in the decision logic. Numerical simulation is performed for a nonlinear discrete-time MIMO aircraft system to verify the effectiveness of the proposed method.
A new topology for parallel resonant DC link with reduced peak voltage

A new topology for a parallel resonant DC link is proposed. It offers reduced peak DC link voltage without generating high di/dt. The effect of various parameters on the link voltage waveform is discussed. A design procedure is outlined to determine the component values for any desired resonant frequency. A comparison with the actively clamped circuit is given. There is an excellent correlation between the experimental and simulation results. <<ETX>>
Integrated audit of management systems

Trends in modern management point toward composite and comprehensive management systems that provide for competitive performance in the global economy. Management system audits are widely used to ensure compliance with planned arrangements and improvement of business performance. This paper addresses the harmonization and integration of audits of different management systems. The current international auditing standards for quality (ISO 10011) and environmental (ISO 14010/11/12) management are reviewed. A detailed comparison of the form, structure and content of these standards is provided. Subsequently, criteria for “best auditing practice” are illustrated. The possibilities of harmonizing audit standards, and integrating them with the current best audit practice are assessed. Integration on the basis of the systems approach is suggested. Finally, it is concluded that integrated audits and audit standards will emerge in the very near future.
Care of Transgender Patients: A General Practice Quality Improvement Approach

Primary care must ensure high quality lifelong care is offered to trans and gender minority patients who are known to have poor health and adverse healthcare experiences. This quality improvement project aimed to interrogate and audit the data of trans and gender minority patients in one primary care population in England. A new data collection instrument was created examining pathways of care, assessments and interventions undertaken, monitoring, and complications. General practitioners identified a sample from the patient population and then performed an audit to examine against an established standard of care. No appropriate primary care audit standard was found. There was inconsistency between multiple UK gender identity clinics’ (GIC) individual recommended schedules of care and between specialty guidelines. Using an international, secondary care, evidence-informed guideline, it appeared that up to two-thirds of patients did not receive all recommended monitoring standards, largely due to inconsistencies between GIC and international guidance. It is imperative that an evidence-based primary care guideline is devised alongside measurable standards. Given the findings of long waits, high rates of medical complexity, and some undesired treatment outcomes (including a fifth of patients stopping hormones of whom more than half cited regret or detransition experiences), this small but population-based quality improvement approach should be replicated and expanded upon at scale.