Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Plural Flow Duration Curve for Producing Optimum Energy on Mini Hydro Power Plant

Indonesia has very big water energy potency such as about 75,000 MW and it is still using approximate to 5,000 MW. During the time, single Flow Duration Curve (FDC) was used to obtain design discharge of Mini Hydro Power Plant (MHPP) for the type of run off river without making attention for the different characteristic. The use of plural Flow Duration Curve (FDC) can eliminate the error of available potency analysis in river so it can be reached the optimal production. This paper intended to apply plural Flow Duration Curve (FDC) on producing optimal electrical energy of Mini Hydro Power Plant (MHPP). The methodology consisted of applying the plural FDC with optional accurate turbine variation due to optimization and simulation. Design discharge as the production of plural FDC will produce yearly optimal energy of mini hydro electrical power. The objects of study included mini hydro electrical power of Cianten, Sapaya, Pongko, Poring, and many others (24 locations). Results can be used as the consideration on optimal using on energy potency of a river. In addition, it can be used for rechecking the water energy potency in Indonesia during the time and by this method it can escape from deficit or surplus of design discharge which as the important point on designing turbine or generator.
The Empirical Study on the Relationship between Knowledge Integration and IT Project Performance

This article examines the relationship between timely project completion and the management’s integrative capability. Measures of the integrative capability are used to predict on-time project completion, where completion is a function of the duration of IT-related project delays. In a longitudinal study of 74 enterprise application integration projects in the medical sector, integrative capability was measured from the point of view of the CIO and a facility IT manager. Accounting for several project controls, our Cox regression results indicate both integrative dimensions significantly mitigate the duration of IT-related project delays, thus promoting timely project completion. The analysis also reveals the importance of taking management structure into consideration when studying IT phenomena in networked organizations.
Realistic Simulations of Stray Field Impact on Low Energy Transfer Lines

Low energy (∼100 keV) facilities working with antiprotons, heavy ions, or charged molecules may experience severe beam transport instabilities caused by field imperfections. For example, long (∼10 m), unshielded beam lines will not be able to transfer particles due to the natural Earth magnetic field or stray fields from closely located experiments. Currently, only a limited number of simulation codes allow a simplified representation of such field errors, limiting capabilities for beam delivery optimization. In this contribution, a new simulation approach is presented that can provide detailed insight into 4D beam transport. It illustrates the impact of imperfections and stray fields on beam stability and quality through simulations of two antiproton experiments located in the Antimatter Factory at CERN in Geneva, Switzerland. Magnetic field imperfections are examined in two different ways, providing greater flexibility and an opportunity to benchmark all outcomes. Simulation performance is analyzed as a function of the level of detail and efficiency.
Novel cooling channel shapes in pressure die casting

The pressure die casting involves die designs incorporating cooling channels positioned to facilitate the controlled extraction of energy from a solidifying casting. It is now known that subcooled nucleate boiling can occur in cooling channels and this paper is concerned with novel cooling channel shapes that are optimized to promote and enhance this boiling and thus reduce casting times. Shape sensitivity analysis is applied to a boundary element model using the material derivative adjoint variable technique. Mesh node positions on the cooling channels are used as the design parameters. The sensitivities are used in a conjugate gradient non‐linear optimization routine. It is shown that with this approach cooling channels can be designed to maximize boiling heat transfer whilst at the same time allow some degree of control of spatial temperature variation over the die cavity surface. Simulation and experimental results are presented for a traditional die and an optimized die. A 60 per cent reduction in cycle time is achieved with the optimized die. Copyright © 2001 John Wiley & Sons, Ltd.
Expression of Long Non-Coding RNA (lncRNA) SNHG5 in Patients with Refractory Diabetic Macular Edema and Its Regulatory Mechanism

Background The aim of this study was to assess use of lncRNAs as biomarkers in serum and aqueous humor of patients with diabetic macular edema (DME). Material/Methods Optical coherence tomography and fundus photography were used to analyze the retinal features of the patients. RT-qPCR was used to analyze the differential expression of lncRNA snhg5 in patients who have idiopathic macular hole (MH), DME, or refractory DME. The relationship between SNHG5 and the clinical characteristics of the patients was analyzed. The effect of SNHG5 on the hyperplasia and apoptosis of human retino-microvascular endothelial cells (HRMECs) and its mechanism were analyzed in vitro. Results Patients with idiopathic MH developed retinal nerve epithelium rupture and retinal fundus thickening, and patients with DME or refractory DME showed significant macular edema with hemorrhaging. The refractory DME patients improved after treatment but still showed significant macular edema and multiple laser scarring. SNHG5 expression was not only low in the atrial fluid and plasma in DME patients, but also lower in the refractory DME group compared to the idiopathic MH patients. SNHG5 expression in the aqueous humor and plasma was negatively correlated with disease duration, body mass index, and levels of fasting blood glucose, glycated hemoglobin, proteinuria, and glycosuria. In the in vitro experiments, SNHG5 expression was significantly downregulated in high glucose-induced HMECs. After SNHG5 overexpression, cell proliferation, angiogenesis, and VEGF-A protein levels were distinctly downregulated. Conclusions SNHG5 correlates with the development of DME and is a potential target for therapy.
Hierarchical predefined‐time control of teleoperation systems with state and communication constraints

The performance of the teleoperation system under multiple negative impacts cannot be easily predefined and regulated in general. This article aims to achieve the predefined performance of the teleoperation system under the effects of human operations, external disturbances, parametric uncertainties and communication constraints (including communication delays and quantized‐data communication). The predefined performance includes the state constraints (i.e., the joint‐space positions of the teleoperation system can be constrained in the predefined region throughout the control process) and predefined‐time set stability (i.e., the synchronization errors can be forced to reach an arbitrarily small neighborhood of the origin in a predefined time). To this end, a hierarchical predefined‐time control algorithm is newly designed via employing the error transformation method based on a novel limit‐time regulator. By using the barrier Lyapunov function, sufficient conditions on the control parameters are formally derived for guaranteeing the aforementioned performance. Finally, we present several simulation experiments to illustrate the effectiveness and advantages of the proposed main results.
Additive inhibitory effects of heavy metals on phenol-utilizing microorganism

Effects of heavy metals on phenol-utilizing microorganisms that could co-metabolically degrade naphthol were investigated. Polymerase chain reaction (PCR) and denaturing gradient gel electrophoresis (DGGE) identified these phenol-utilizing microorganisms as Alicycliphilus denitrificans K601, Alicycliphilus sp. R-2461, uncultured Alicycliphilus sp. , and Acidovorax aerodenitrificans . Inhibitory effects of Pb, Cu, Cd, and Zn on phenol biodegradation were in the order of Cu > Cd > Pb > Zn. Inhibitory effects of mixed heavy metals on phenol-utilizing microorganisms were in the order of (Cd + Pb) ≈ (Cd + Cu) > (Zn + Pb) > (Zn + Cd) > (Pb + Cu) > (Zn + Cu). The presence of mixed heavy metals synergistically inhibited microbial degradation of phenol. The relationship between reaction constants and inhibition concentrations that caused 50% of the degradation rate (IC 50 ) for mixed heavy metals was derived as k 2 = 0.69 ∙ IC 50-1.007 . In this study, heavy metals inhibited phenol biodegradation through synergistic interactions. However, other studies have reported antagonistic interactions depending on the microbial community and heavy metals, indicating that the inhibition type of heavy metal on microbial degradation depends on the microorganism and the type of heavy metal.
Optimal design of 3D special steel buckling‐restrained braced structures

In the current study, the optimal design of 3D frames equipped with buckling restrained braces is presented. The objective function in the optimization problem is considered as weight minimization subjected to serviceability and strength requirements. Three different metaheuristic algorithms including Particle Swarm Optimization (PSO) algorithm, Teaching Learning Based Optimization (TLBO) algorithm, and Discrete Firefly Algorithm (DFA) are utalized to solve the optimization problem. Response spectrum analysis is considered to examine the performance of the structures during the optimization process under applied loads. Two real‐size steel structures with buckling restrained braces are selected to perform optimal design. The results demonstrate that the TLBO algorithm has better performance in discrete structural optimization.
A Seasonal Comparison of the Effectiveness of Parent Engagement on Student Literacy Achievement

Parent engagement is often promoted as a remedy for reducing achievement gaps between students from high socio-economic and low socio-economic backgrounds. However, researchers have found mixed results when examining parent engagement and student outcomes. Drawing on a study investigating the effectiveness of summer literacy camps offered by schools in Ontario, I compare the influence of parent engagement on two outcomes: (1) spring snapshot of cumulative learning, and (2) summer literacy growth/loss. In considering summer learning in regression analysis, I aim to investigate the effect of parent engagement without the influence of schools during the academic year. Out of 14 parent engagement measures, I find only three (parents’ aspirations, home resources, discussions of school with children) are positive predictors of spring literacy outcomes and that none predict summer literacy growth/loss. Family socio-economic status remains a powerful predictor of achievement for both outcomes. I interpret my findings within three proposed mechanisms of parent engagement: cultivation ethic, realist reaction, and expressive logic.
A developed Best-Worst method to solve multi-criteria decision-making problems under intuitionistic fuzzy environments

In real-world decision-making problems, we often face multiple criteria that should be considered in the decision process. Also, the collected data are often non-crisp and reported with a degree of hesitation. In this study, using intuitionistic fuzzy numbers that can model these non-crisp and hesitant data, we propose a simple yet effective method for solving real-world multi-criteria decision-making problems. We applied our proposed approach to the intuitionistic fuzzy Best-Worst Method, which is one of the famous techniques for solving multi-criteria decision-making problems. However, the proposed method can be easily generalized to the other multi-criteria decision-making methods in intuitionistic fuzzy environments, too. Finally, the ability of the proposed approach to solve these types of problems is shown by an illustrative example.
Strategies to minimize the fuel consumption of passenger cars during car-following scenarios

The way in which a vehicle is driven significantly affects its fuel consumption. This paper analyses the fuel-optimal driving strategies of a traditional vehicle equipped with a continuously variable transmission in car-following scenarios. A minimal-fuel-consumption problem is formulated, which is numerically solved using the Gauss pseudospectral method. The identified optimal manoeuvres were found to demonstrate two types of behaviour depending on the vehicle speed: pulse-and-gliding (PnG) and constant speed (CS). Further analyses indicate that the difference in behaviours mainly depends on the engine fuelling characteristics (both static and transient) and the road load. As the preceding vehicle’s speed increases, the optimal manoeuvre changes from partial PnG to full PnG, and finally to CS. In the full-PnG strategy, the engine switches between the minimum brake specific fuel consumption point and the idling point while the range error oscillates between its upper and lower bounds. The period, duty cycle percentage, and fuel economy improvement of the PnG strategy are analysed and presented.
A mobile tomographic gamma camera system for acute studies

A mobile tomographic gamma camera system, called Cardiotom Mark 1, has been developed for imaging the myocardium and other small organs. The Cardiotom system is based on a tomographic technique, ectomography, which is a limited view angle method using a rotating slant hole collimator (RSHC) and a stationary detector to produce projection images. This enables the ectomographic system to be implemented as a mobile system. With the system developed, almost 200 perfusion studies have been performed. The system is based on a second-hand detector and a 30/spl deg/ RSHC. By segmenting the collimator, total system efficiency is increased and acquisition time can be reduced by a factor equal to the number of segments. The system developed is PC-based and totally self-contained with data acquisition, reconstruction, and image presentation. The mobility of the system and the fact that the examination requires no patient cooperation enable acute studies of myocardial perfusion in the critically ill patient, either in the intensive care unit or the emergency room. A mobile system with three-dimensional imaging can offer new possibilities in cardiological research and diagnosis.
Data Processing of Laser Scans Towards Applications in Structural Engineering

Champaign has a long history of excellence in research and education that has contributed greatly to the state-of-the-art in civil engineering. Completed in 1967 and extended in 1971, the structural testing area of the laboratory has a versatile strong-floor/wall and a three-story clear height that can be used to carry out a wide range of tests of building materials, models, and structural systems. The laboratory is He developed simple, yet powerful and widely used, methods for analyzing complex structures and assemblages subjected to a variety of static, dynamic, blast, and earthquake loadings. Dr. Newmark received numerous honors and awards for his achievements, including the prestigious National Medal of Science awarded in 1968 by President Lyndon B. Johnson. He was also one of the founding members of the National Academy of Engineering. for assisting with data collection. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsors. The cover photographs are used with permission. The Trans-Alaska Pipeline photograph was provided by Terra Galleria Photography ABSTRACT This research is investigating the use of high resolution 3D terrestrial laser scanners as tools to capture geometric data of complex scenes for structural engineering applications. Laser scan technology is continuously improving, with commonly available scanners now able to capture over 100,000 points per second with an accuracy of ~1 mm. This research focuses on determining the applicability of laser scanning to structural engineering applications, including structural health monitoring, collapse assessment, and post-hazard response assessment. One of the keys to this work is to establish a process for extracting important information from raw laser-scanned data sets. Once such a process is fully developed, laser scanning has the potential to play an important role in linking and sharing experimental and computational structural research. Previous work in this area has created a foundation of basic data processing steps. Additional steps and modifications to existing algorithms are presented to advance the performance of data processing on complete point clouds. The outcome of this research enables processing of lasers scans of complex structures to assist with advanced analysis, monitoring, and assessment.
DESIGN AND IMPLEMENTATION OF AN ENERGY AWARE PROGRAMMING FRAMEWORK FOR AUTONOMOUS UNDERWATER VEHICLES

OF THE DISSERTATION Design and Implementation of an Energy Aware Programming Framework for Autonomous Underwater Vehicles by Hans Christian Woithe Dissertation Director: Ulrich Kremer Autonomous underwater vehicles (AUVs) have become an indispensable tool for studying the oceans. They allow for the prolonged presence of scientific instruments in the ocean, enabling the collection of samples for several weeks or months at a time for a fraction of the cost of research vessels. These vehicles share common characteristics and constraints with other cyber-physical systems that include concerns for vehicle safety, a limited energy supply, the optimization and trade-off of resources, sporadic communication, and operation in extremely constrained environments. One such AUV is the Slocum Electric Glider. Although AUVs like the Slocum Glider have revolutionized the field of oceanography, many are difficult to program and thus limit their overall utility. A new energy aware, domain specific programming framework for AUVs, called ALGAE (AUV Language for Greater Adaptability and Energy optimization), has been developed on the Slocum Glider. This framework enables scientists to easily create missions that use domain specific features to make trade-offs, such as sacrificing the
Adaptive control and disturbance compensation for gear transmission servo systems with large-range inertia variation

In gear transmission servo systems, backlash effect and inertia variation often generate low precision, oscillations or even affect the stability. Focusing on this issue, an adaptive terminal integral sliding mode control (ATISMC) strategy and a discrete linear extended state observer (DLESO) are proposed in this article. First, different from using traditional dynamic model, a characteristic model is established with online parameter identification to describe inertia variation. Then, a DLESO is proposed to observe and compensate the modeling error caused by parameter identification and backlash effect. An ATISMC is newly designed based on the characteristic model to suppress the uncertainties and stabilize the whole closed-loop system. Both the uniform ultimate boundedness of observation error and the practical finite-time stability of the system is proved. Finally, simulation and experimental results demonstrate that the proposed strategy can adapt to large-range inertia variation and suppress the backlash effect.
SOUNDING FREQUENCIES OF THE ASIAN FREE-REED MOUTH ORGANS

The khaen, naw, bawu, sheng and sho are examples of Asian free-reed mouth organs, which incorporate approximately symmetric free reeds coupled to pipe resonators. Previous research has shown that the reeds in these instruments behave as “blown-open” reeds in which the playing frequency is above both the natural frequency of the reed and the first peak of the measured impedance curve. Detailed calculations of input impedance have been made for a variety of these instruments, taking into account the position of the reed along the pipe, tuning slots, finger holes, and non-uniform cross sections. The details of these calculations are in good agreement with the measured impedances of the same instruments. If the reed is treated as a damped, driven harmonic oscillator, the sounding frequencies of these reed-pipes can be predicted using a phase relation between the reed vibration and the phase of the complex impedance. [Research supported by National Science Foundation REU Grant PHY0354058. ]
The Complexity of Medical Device Regulations Has Increased, as Assessed through Data-Driven Techniques

Medical device regulations are dynamic, as they need to cover an ever changing landscape. In Europe this has led to a new set of regulations (both for Medical Devices and In Vitro Diagnostics), which replaced the old rules. This study is interested in how the complexity of these medical regulations changed over time and if additional time-based metrics can be associated with any of the complexity metrics. Complexity is defined in terms of readability of the text and it is computed using established linguistic measures, as well as Halstead complexity scores. It was shown that the regulatory complexity of new EU medical device regulations was higher than their predecessors, especially when Halstead complexity measures were considered. The complexity metrics obtained for the new regulations were subsequently associated with the time it took to consider these regulations. Only very weak Pearson’s correlation coefficients were found between the complexity scores and the obtained response times for the new regulations. This could indicate that there are issues with how complexity is perceived by those that need to apply these regulations. Taking the complexity of regulations into account can greatly help with the development of more user friendly regulations. The results from the data-driven methods that are applied in this research indicate that governments could benefit from focusing on making regulations more accessible and utilitarian. This would improve the stakeholder adherence and facilitate effective implementation. This work also highlighted the need to develop more suitable methods to analyse regulatory text to further inform the wider research community.
Assimilation of OLCI total column water vapour in the Met Office global numerical weather prediction system

The representation of water vapour in numerical weather prediction models is still subject to significant uncertainties, which are partly due to the lack of observations of water vapour in the lower troposphere over land and sea‐ice areas. There are now several satellite datasets of total column water vapour available, which make use of the reflected radiances from the surface in the near‐infrared spectral region where there are water vapour absorption bands. The ocean and land cover imager (OLCI) on the Sentinel‐3A and 3B satellites measures the top of atmosphere radiances in the near infrared, and a total column water vapour product is retrieved and made available in near real time. Comparisons of the total column water vapour from OLCI with NWP model 6‐h forecasts, collocated ground‐based GNSS measurements and radiosonde profiles have been undertaken to determine the accuracy of the product. Following the monitoring, some experiments were made to assimilate the OLCI total column water vapour over land using the Met Office 4D‐Var assimilation system. A 5‐month trial assimilating the OLCI data has shown consistently positive impacts on the forecast scores with some changes to the water vapour distribution in the model.