Miracle-dz/UniFAR-FTUs huggingface dataset:
A METHOD OF MODELING BOUNDARY CONDITIONS FOR MULTI- PERIOD BATTERY ENERGY STORAGE DISPATCH

This paper evaluates the economic impacts of initial and final charges of battery energy storage (BES) devices on dispatch solutions when used in a multi-day and recurring operation. Two new modeling methods are proposed that have the ability of capturing the impacts of initial and final charges: one has a 2-day rolling scheduling window; and the other is a proposed model with a single day scheduling window, but incorporates the economic impact of ending charges on the next scheduling day. Numerical simulations are presented to illustrate their characteristics in term of dispatch solutions and economic impacts.
Evaluation of Motor Recovery by Using Adaptive Myoelectric Hand

It is important to evaluate the motor recovery effect of the amputee caused by using myoelectric hand from multiple evaluation criteria. In this paper, we evaluate amputee’s motor recovery by using adaptable myoelectric hand from the standpoint of brain function and clinical practice. As a result, we clarified that robust control ability of prosthetic hand activates the activity of the primary motor cortex, and the substitute function of the body provided by the myoelectric hand realizes the motor recovery as close to healthy person’s body function.
Camera Based 3D Mine-Shaft Inspection System

This paper describes the development of an Optical 3D Shaft Inspection System needed for the survey and monitoring of Water Handling Shafts in the German Ruhrgebiet. The development is part of the RAG R&D project “ABSMon”. The end of the German hard coal mining at the end of 2018 has been determined with the Steinkohlefinanzierungsgesetz (SteinkohleFinG) from 2007-12-20. About three hundred years before now the near surface hard coal mining began in the southern Ruhr Area and in our days advanced to the northern Ruhr Area with mining depth of around -1.500 meters. The mine workings are kept dry by mine water pumping. When the active mining activities will have finished a controlled Water Handling will raise and keep the mine water to levels predetermined by the Mining Authorities. A monitoring with a mobile wireline shaft survey system is needed to run the Water Handling Shafts for an enduring Water Management. At the moment only laser scanner systems are available, but also optical systems are needed to enable the near real-time inspection with 3D presentation and 3D examination during the measurement campaign. An approach is presented that uses a camera to generate high resolution and textured 3D models of mining shafts and tunnels for inspection purposes.
Design Analysis of High Pass FIR Filters Using Hanning, Bartlett and Kaiser Windows

Digital filters are pervasive in the present era of communication systems. As a result good digital filter performance is important and hence to design a digital finite impulse response (FIR) filter satisfying all the required conditions is a demanding one. In this paper, design techniques of high pass FIR filters using Hanning, Bartlett and Kaiser Windows are presented. The magnitude and phase responses are demonstrated for different design techniques at particular cut off frequency and filter order. It is shown that degree of flatness varies with the length of the filter.
A computational study of the interaction of oxygenates with the surface of rutile TiO2(110). Structural and electronic trends

A variety of OH containing molecules in their different modes of adsorption onto the rutile TiO2(110) are studied by means of density functional theory. A special focus is given to ethanol, ethylene glycol and glycerol. The different species were analyzed with respect to the adsorption energy, work function, and atomic Bader charges. Our results show that dissociated adsorption is favored in all cases. Within these modes, the strongest binding is observed in the case of bidentate fully dissociated adsorption, followed by bidentate partially dissociated then the monodentate dissociated modes. The dependence is also noted upon charge transfer analysis. Species adsorbing with two dissociated OH groups show a negative charge which is roughly twice as large compared to those exhibiting only one dissociated group. In the case of molecular adsorption, we find a small positive charge on the adsorbate. The change in work functions obtained is found to be negative in all studied cases. We observe a trend of the work function change being more negative for glycerol (3 OH groups) followed by ethylene glycol (2 OH groups) and the remaining alcohols (1 OH group), thus indicating that the number of OH groups present is an important factor in regards to work function changes. For the complete series of adsorbates studied (methanol, ethanol, isopropanol, ethylene glycol, glycerol, hydrogen peroxide and formic acid) there is a linear relationship between the change in the work function and the adsorption energy for the molecular adsorption mode. The relationship is less pronounced for the dissociated adsorption mode for the same series.
On Effect Size Measures for Nested Measurement Models

A class of effect size indices are discussed that evaluate the degree to which two nested confirmatory factor analysis models differ from each other in terms of fit to a set of observed variables. These descriptive effect measures can be used to quantify the impact of parameter restrictions imposed in an initially considered model and are free from an explicit relationship to sample size. The described indices represent the extent to which respective linear combinations of the proportions of explained variance in the manifest variables are changed as a result of introducing the constraints. The indices reflect corresponding aspects of the impact of the restrictions and are independent of their statistical significance or lack thereof. The discussed effect size measures are readily point and interval estimated, using popular software, and their application is illustrated with numerical examples.
A Randomized, Placebo-Controlled Laboratory Classroom Study of the Efficacy and Safety of Dasotraline in Children With ADHD

Objective: To evaluate the efficacy of dasotraline 2 mg/day for treatment of ADHD in children weighing ≤30 kg. Method: Children (ages 6–12) with ADHD were randomized to 14 days of once-daily evening doses of dasotraline 2 mg (n = 47) or placebo (n = 48). Efficacy was assessed at Baseline and day-15 in seven, 30-minutes classroom sessions on each day (8:00 a.m. to 8:00 p.m.; 12–24 hours post-dose). The primary endpoint was change from Baseline at Day-15 in the Swanson, Kotkin, Agler, M-Flynn, and Pelham (SKAMP) combined score averaged over the seven, serial timepoints. Results: Treatment with dasotraline was associated with significant improvement versus placebo in the primary SKAMP-combined score (least squares mean [SE] change from Baseline at Day-15: −3.67 [0.775] vs. +1.57 [0.773]; p < .001; effect size, 1.04). Conclusion: Dasotraline 2 mg/day was found to be efficacious and generally well tolerated in this placebo-controlled, laboratory classroom study of children ages 6 to 12 years with ADHD. Clinicaltrials.gov identifier: NCT03231800.
Biomedical Engineering Technology: Analyzing the Professional Marketplace

The success and future of academic programs in engineering technology are often related to the employment of its graduates as educational curricula needs to balance theoretical and practical fundamentals with skills that are in demand by employers in each specific sector. Student recruitment for specific engineering technology programs is also affected by the future employability of its graduates, as these academic programs are often sought by adult and returning students who need or desire to acquire newer and more practical skills to respond to the demands of the workplace. This paper analyzes the current nationwide demands for graduates of biomedical engineering technology (BMET) and clinical engineering (CE) programs, based on collecting 219 job advertisements during a 12-month period. These job advertisements were collected from professional listservers, Websites of BMET professional organizations, and printed trade and professional publications focused on BMET. The majority of advertised positions required an associate's degree in BMET or similar programs, although some others required additional certification or a minimum number of years of experience. The article analyzes and discusses the technical, professional, and interpersonal skills as well as educational requirements and certifications required for future BMET graduates based on employer's demands. The paper also will discuss the geographical distribution the majority of BMET employers, the description of their job and related duties as well as their compensation packages when these are stated in the advertisement. The snapshot of the employment market for BMET graduates that is presented in this paper can be seen as an important tool for BMET instructors and institutions that offer this program to tailor their course content and objectives toward the current needs of the industry. This information will enable them to develop appropriate marketing plans for student recruitment while maintaining educational programs of high quality.
Análisis dinámico de redes en la difusión de innovaciones agrícolas* Dynamic analysis of networks in the diffusion of agricultural innovations

This study analyzed the evolution of an innovation network between natural rubber producers for three observation periods (two waves or three years), and evaluated how producers react to different innovations in a given time. Innovation practices were grouped into three activities: pest and disease control, establishment and management of plantations, and harvesting and postharvest handling. The representation of the network and its evolution were analyzed through a "stochastic model based on the actor for dynamic networks," using the SIENA program (Rsiena) for data analysis. The results show that producers sought innovations in the short-term results. The harvest and postharvest innovations were adopted following a trend of information search within the network.
The Integration of Religious Moderation Values in English Language Teaching in Madrasah

As the phenomenon of radical religious understanding emerges, the discourse of Islamic moderation in Indonesia is reemerging. Education plays a crucial part in the process of internalizing moderate Islamic values. Instilling Islamic moderation values must occur not only in religious subjects but also in other subjects such as English. The study’s objective is to explore how Islamic moderation values be integrated into the English language class. This study is qualitative and involves a case study. Through an in-depth interview, observation, and documentation, the data were acquired. The results were then thematically analyzed. The study’s findings revealed that Islamic moderation values could be integrated into lesson plans, learning materials, teaching and learning activities, and evaluation. Some significant suggestions made by the results are discussed in this study.
Voltage Profiles Improvement in a Power Network with PV Energy Sources—Results of a Voltage Regulator Implementation

The constant increase in the number of photovoltaic (PV) energy sources in distribution networks is the cause of serious voltage problems. The networks built at least a dozen years ago are not provided for the installation of a large number of micro-sources. It happens that the previously properly functioning power networks are not able to provide to consumers power with the required parameters, after installing many PV sources. The problem relates especially to the level of voltage in the networks. This phenomenon sometimes occurs on sunny days, especially in summer. This paper discusses the use of a Low-Voltage Regulator (LVR-sys) in a selected rural distribution network with PV micro-sources. Measured voltage levels in this network, before application and after application of this regulator, are presented. The application of the regulator significantly improved voltage levels in the network and enabled these levels to be maintained within the normative range.
Sparse frequency waveform analysis and design based on ambiguity function theory

This study presents new insights into sparse frequency waveform analysis and new waveform design methods. For a general radar waveform, the total ambiguity in its auto-correlation function (ACF) is equal to the total energy in its power spectral density (PSD) in the frequency domain. With this relationship, the total ambiguity in an ACF is found to be minimised when the corresponding PSD is uniformly distributed. This property is extended to the sparse frequency waveform by establishing the relationship between the optimal PSD and the minimum ambiguity in ACF. Based on this analysis, a new method of designing sparse frequency waveform with sidelobe constraint is proposed. The new method simultaneously optimises the sidelobe performance and the PSD performance through constrained non-linear optimisation. This is different from existing methods that compromise the performance of sidelobe to the performance of PSD in an ad-hoc manner by minimising the weighted sum of the total power in the stopbands and the total power in the sidelobe. The analysis and the design method have been extended to the case of multiple sparse frequency waveforms. Simulation studies are provided to demonstrate the effectiveness of the proposed new design methods.
Complement activation prior to symptom onset in myeloperoxidase ANCA-associated vasculitis but not proteinase 3 ANCA associated vasculitis - A Swedish biobank study

Objective Increased soluble levels of complement effectors have been demonstrated in active anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV), but the timing of complement activation in the autoimmune inflammation remains elusive. This study investigated whether the complement system is activated before onset of symptoms in AAV. Method The Swedish National Patient Register and Cause of Death register were linked to registers of five biobanks to identify individuals sampled before AAV symptom onset. Diagnosis of AAV and time-point for symptom onset were confirmed by reviewing medical records. We identified 64 presymptomatic individuals with serum samples > 1 month < 10 years from AAV symptom onset and 122 matched controls. Complement factors (C2, C5) and activation markers (C5a, C4b) were measured using Luminex technology. Results Presymptomatic individuals had higher levels of C5 up to 6.5 years before symptom onset, compared with controls [median (IQR) 80.7 (131.9) vs 46.6 (63.4) µg/mL, p = 0.05]. Levels of C5a increased significantly during the pre-dating time (p = 0.033) until symptom onset. The complement levels were significantly higher in presymptomatic myeloperoxidase (MPO)-ANCA+ individuals versus MPO-ANCA− and proteinase-3-ANCA+ individuals. C5 was significantly increased in cases with renal involvement at diagnosis versus controls (p = 0.022), whereas levels of both C5 and C5a were significantly increased in presymptomatic individuals diagnosed with microscopic polyangiitis after onset compared with controls (C5: p = 0.027; C5a: p = 0.027). Conclusion Activation of the complement system is an early event in the pathogenesis of AAV and is mainly associated with MPO-ANCA+ AAV and with microscopic polyangiitis.
Variation in Definitions of Kidney Abnormality in Patients with Spina Bifida: A Systematic Scoping Review

Purpose: We systematically reviewed the variability in definitions of kidney abnormality (KA) outcomes in individuals with spina bifida (SB). Materials and Methods: A systematic scoping review was conducted using MEDLINE, Embase™, Cochrane Library, CINAHL, PsycInfo®, Web of Science™ and ClinicalTrials.gov for articles from time of database inception to September 2020. No language or patient age restrictions were applied. Primary research articles involving individuals with SB where KA was assessed as an outcome were included. Means of assessing KA and defining KA severity were abstracted. Results: Of 2,034 articles found, 274 were included in the review. Most articles were published after 1990 (63.5%) and included pediatric-only populations (0–18 years; 60.5%). KA outcomes were identified by imaging-based anatomical outcomes (84.7%), serum-based outcomes (44.9%), imaging-based functional outcomes (5.5%), urine-based outcomes (3.3%) and diagnoses of end-stage kidney disease (2.6%) or chronic kidney disease otherwise unspecified (1.8%). Hydronephrosis was the most commonly used specific outcome (64.6%, 177/274) with 19.8% (35/177) of articles defining hydronephrosis severity. Hydronephrosis was used more frequently in articles with pediatric-only populations. Creatinine and cystatin-C were used in 82.1% (101/123) and 17.9% (22/123) of articles reporting serum-based outcomes, respectively, with 32.7% and 50.0% of articles defining estimated glomerular filtration rate (GFR) severity. Serum-based outcomes were more common in articles including adults >18 years. Measured GFR was assessed in 9.9% (27/274) of articles, with 44.4% (12/27) of articles defining GFR severity. Conclusions: Significant variability exists in how authors define KA with few specifically defining KA severity. Consensus and consistency in defining KA outcomes are needed.
Energy Efficient S-MAC Protocol for Wireless Sensor Network: A Survey

Wireless Sensor Network are often battery powered, and hence extending the network lifetime is one of the primary concerns of wireless sensor networks. This paper introduces energy efficient MAC protocol used for wireless sensor networks and proposes Sensor-Medium Access Control (S-MAC), a Medium Access Control protocol (MAC) design for wireless sensor networks. Sensor-Medium Access Control uses novel techniques to reduce energy consumption and support self configuration. Wireless Sensor Networks are use battery operated computing and sensing devices. Network of these devices will collaborate for a common application such as environmental networking. To reducing energy consumption in listening to an idle channel, nodes periodically sleep. Neighboring nodes from virtual clusters to auto-synchronize on sleep schedules. Finally, S-MAC applies message passing to reduce contention latency for application that require in network data processing.
Hybrid-Modulation Hysteresis Scheme Based Decoupled Power Control of Grid-Connected Inverter

Most existing power control methods for grid-connected inverter are implemented in synchronous reference frame. In order to achieve soft-switching operation, those methods usually need additional design considerations, which could introduce complex computation. This article presents a control strategy for single-phase grid-connected inverter system with LCL filter that can be used for grid-connected battery/photovoltaic (PV) system, with the target to implement decoupled active and reactive power control capability in stationary frame and achieve soft-switching behavior for higher efficiency. In order to improve system efficiency, a new hybrid-modulation-based hysteresis current scheme is used to achieve soft-switching while improving the inherent zero-crossing distortion issue existing in traditional unipolar hysteresis current control. Multiproportional and resonant compensators are utilized to mitigate output low-frequency distortions further, together with a capacitor current feedback-based active damping design embedded in an inner loop. The proposed controller also demonstrates good robustness and immunity to distorted grid conditions. Simulation and experimental results are presented in this article with essential theoretical analysis to verify the validity of the proposed control strategy.
An Event-Triggered Transmission Policy for Networked L_2-Gain Control

This paper considers the design of networked feedback controllers with more efficient allocation of network resources. With a given admissible controller, an L_2-gain preserving event-triggered transmission policy is proposed for determining whether the currently measured state at the sensor node should be sent to the controller through the network for updating control signal. In this way, not all the measured data are sent and then the network traffic in a networked control system can be reduced. An algorithm is proposed to enlarge the transmission boundary of the event-triggered transmission rule for increasing inter-transmitting times. An illustrative example is given for verifying the benefit of the proposed approach.
Near-Optimal and Collaborative Service Caching in Mobile Edge Clouds

With the development of 5G technology, mobile edge computing is emerging as an enabling technique to reduce the response latency of network services by deploying cloudlets at 5G base stations to form mobile edge cloud (MEC) networks. Network service providers now shift their services from remote clouds to cloudlets of MEC networks in the proximity of users. However, the permanent placement of network services into an MEC network is not economic due to limited computing and bandwidth resources imposed on its cloudlets. A smart way is to cache frequently demanded services from remote clouds to cloudlets of the MEC network. In this paper, we study the problem of service caching in an MEC network under a service market with multiple network service providers competing for both computation and bandwidth resources in terms of Virtual Machines (VMs) in the MEC network. We first propose an Integer Linear Program (ILP) solution and a randomized rounding algorithm, for the problem without VM sharing among different network service providers. We then devise a distributed and stable game-theoretical mechanism for the problem with VM sharing among network service providers, with the aim to minimize the social cost of all network service providers, through introducing a novel cost sharing model and a coalition formation game. We also analyze the performance guarantee of the proposed mechanism, Strong Price of Anarchy (SPoA). We third consider the cost- and delay-sensitive service caching problem with temporal VM sharing, and propose a mechanism with provable SPoA. We finally evaluate the performance through extensive simulations and a real world test-bed implementation. Experimental results demonstrate that the proposed algorithms outperform existing approaches by achieving at least <inline-formula><tex-math notation="LaTeX">$40\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>40</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="xia-ieq1-3144175.gif"/></alternatives></inline-formula> lower social cost via service caching and resource sharing among different network service providers.
In searching for 4G mobile service applications: The case of the Indonesian market

The role of the mobile telecommunications market is getting stronger, prompting a demand for new features from 4G applications. By focusing on the case of the Indonesian market, this paper analyses the characteristics of the upcoming 4G mobile service applications which might be popular in such a developing country. To construct the analysis, we conducted a survey over a sample of people representative of the likely market for 4G services and applications in five years’ time. We also develop a model identifying the challenges as well as opportunities for the national players in the mobile communications sector, i.e. for the operators and content developers. The results indicate that the main source of service innovation is likely to come from combining knowledge of a country’s local perspective together with that of the global trend of mobile service applications. The combination of both streams would create a new service which is likely to be swiftly adopted by the market.