Miracle-dz/UniFAR-FTUs huggingface dataset:
Tracking of spiraling reentry vehicles with varying frequency using a new target dynamic model

As ballistic targets reenter the earth’s atmosphere, they undergo rapid deceleration and may perform spiraling motion that can make accurate tracking very difficult. A variety of filter structures have been proposed for this problem, including variants of the Kalman filter. The present work employs a new target dynamic model combined with an unscented Kalman filter to yield an effective tracking solution. The new target model includes, in addition to position and velocity states, a modified drag coefficient, the target spiral frequency, and two harmonic states describing the periodic rotation of the target body around its velocity vector. The spiral frequency was allowed to have a general variation with time. The unscented Kalman filter with new target model produced very satisfactory tracking for targets with varying frequency. The sensitivity to angle measurement accuracy using a reduced set of measurements was evaluated and a threshold value was determined. Finally, tracking performance was confirmed by Monte Carlo analysis.
Hierarchical predictive control scheme for distributed energy storage integrated with residential demand and photovoltaic generation

A hierarchical control scheme is defined for the energy management of a battery energy storage system which is integrated in a low-voltage distribution grid with residential customers and photovoltaic installations. The scope is the economic optimisation of the integrated system by employing predictive control techniques. The approach is based on hierarchical decomposition of the optimisation problem in the time domain by composing a three-level scheduling and control scheme, that is, day-ahead, intra-hour, and real-time, where the initial and final states of each sub-problem are chosen as coordination parameters. The day-ahead and the intra-hour problems address the interactions with electricity markets during the scheduling phase. The real-time algorithm is able to adapt the operation of the battery system according to updated information about market conditions, residential demand, and local generation, and subject to the network capacity and other technical constraints. The simulation scenarios address the interactions with the day-ahead auction and the imbalance settlement system in the Netherlands.
Extraction of heat-transfer macromodels for MEMS devices

In this paper, a model order reduction technique for MEMS heat-transfer system-level modeling is presented. A 3D heat-transfer solver, which is appropriate for MEMS thermal analysis, is implemented using the finite-difference method (FDM). The numerical models generated by the FDM solver can be reduced into low-order macromodels by an Arnoldi-based technique. This order reduction operation has been implemented as an automatic process. Because the macromodels are generated from the finite-element or the finite-difference (FEM/FDM) approximation of the original solid models, they preserve the original characteristics for most operation conditions. Also, since the orders of the macromodels are much less than those of their original FEM/FDM models, the computational costs are significantly reduced by about two to four orders of magnitude. This performance improvement thus makes the macromodels compatible for system-level or circuit simulations, which is essential for overall performance prediction. We also demonstrate that the macromodel results are in good agreement with the experimental results. The macromodels are also converted into the circuit component modules written by the hardware description language, and are inserted into a circuit simulator for system-level simulations with other circuit components.
Customer Engagement with Universities’ Social Media after COVID-19: EaP Countries Case

The current research aims at analyzing the social media activity of the universities in EaP countries. During the COVID-19 pandemic, universities had to transfer their education processes and enrollment campaigns online. University management had to introduce new tools for communication and interaction to ensure the efficacy of cooperation between the university community, students, teaching staff, and other stakeholders. In this research, the authors analyze which factors affected the dynamics and directions of customer engagement with Universities' social media and how. The authors propose a framework to reveal the role of countries’ digital environment, educational environment, and university’s SM activity in increasing ER of university stakeholders during the COVID-19 pandemic on Facebook and Instagram. The authors outline managerial proposals for universities, including analytics-based SM content creation and planning, communicating socially essential issues.
RDAClone: Deciphering Tumor Heterozygosity through Single-Cell Genomics Data Analysis with Robust Deep Autoencoder

Rapid advances in single-cell genomics sequencing (SCGS) have allowed researchers to characterize tumor heterozygosity with unprecedented resolution and reveal the phylogenetic relationships between tumor cells or clones. However, high sequencing error rates of current SCGS data, i.e., false positives, false negatives, and missing bases, severely limit its application. Here, we present a deep learning framework, RDAClone, to recover genotype matrices from noisy data with an extended robust deep autoencoder, cluster cells into subclones by the Louvain-Jaccard method, and further infer evolutionary relationships between subclones by the minimum spanning tree. Studies on both simulated and real datasets demonstrate its robustness and superiority in data denoising, cell clustering, and evolutionary tree reconstruction, particularly for large datasets.
Simulation on the Dynamic Characteristics of an Electromagnetic Relief Valve with High Pressure and Large Flow Rate

The use of electromagnetic relief valve with high pressure and large flow rate in hydraulic system is usually easy to bring vibration and noise issues, especially while water or high water based fluid (HWBF) is used as the fluid medium. In this paper, a HWBF electromagnetic relief valve with a cushion valve was presented and its simulation model was built based on AMESim software. Through simulation, it is found that the cushion valve can significantly reduce the peak pressure gradient of the electromagnetic relief valve during unloading process compared with that without a cushion valve. This research provides a new solution for solving the vibration and noise issues of a hydraulic system with electromagnetic relief valve.
Tactile refreshable screen based on magneto-rheological fluids for map exploration and navigation tasks

Human-machine interfaces can convey information via visual, audio and/or haptic cues during a navigation task. The visual and audio technologies are mature, whereas research has to be focused on haptic technologies for mobile devices. In this work, a tactile refreshable screen is proposed which allows its user the exploration of maps and navigational tasks in an egocentric perspective. The proposed device consists of an array of actuators which can display various patterns. The actuation technology is based on a magneto-rheological fluid which is injected in a chamber with an elastomeric membrane using a micro pump. The fluid pressure deforms the membrane in order to display a pattern. The fluid properties are used to form a valve in each cell. A permanent magnet, a ferromagnetic core, and a coil form a closed magnetic circuit with a gap where the magneto-rheological fluid can flow; the magnetic field interacts with the fluid and prevents the filling or draining of the chamber. Applying a current to the coil counteracts the magnetic field generated by the magnet and the fluid can circulate freely in order to inflate or deflate the membrane. The design, fabrication and integration of the device in addition to the results of finite element simulations and experimental measurements are reported.
Influence of the Order of Provided Information on the First Impression

The study aims to explore the dominance of stereotypic thinking in the process of social information processing. It tests one of the assumptions of Parallel Constraint Satisfaction Theory regarding the order of provided information. It is hypothesized that dominance of either type of processing (stereotypic or individuating) depends on the primacy of provided social information. In the experiment, each participant (N = 144) was randomly assigned to either of the condition, where one was presented with one and the same stereotypic (categorical) and individuating (counter stereotypic behavioral) information about one and the same person, provided into a certain order. Based on the level of p < 0.05, comparison of impressions received in different order conditions (category primacy vs. behavior primacy) revealed that the first impressions followed the effect of primacy. This effect appeared to be consistent in the impressions of both observed targets (Doctor and IT). Hypothesis about the importance of order and primacy in social perception has been proved, but hypothesis about averaging impression in the condition of the information being provided together was not proved. The study shows that order of provided information determines whether target instantly stereotypically categorizes others or focuses more on their behavior and makes individualistic impression of them.
Technologies in hybrid powertrains: literature review Tecnologias em motorizações híbridas: revisão da literatura

This paper presents a summary of a diversity of technological developments in hybrid systems for automotive propulsion. To do this, keywords such as hybrid propulsion, electric cars and conversion to hybrid were searched in Google Scholar. In total, nearly 100 documents were obtained published between 1978 and 2018. In the data collected, it was found that hybrid propulsion systems (gasoline and electricity) present five areas that describe technological development: power unit; power control system; energy storage system; structure or architecture of the powertrain, and system to regenerate energy. However, the development of electric and hybrid vehicles still requires further development to match and go beyond the performance and characteristics of MCI vehicles. To achieve this, emphasis should be placed on improving the energy storage system to get greater travel per load, as well as increasing energy density (kW / weight), reducing costs, extending load cycles and charging time reduction.
Analysis of User Satisfication with Graduates in Statistical Study Program Universitas Terbuka

Revolution 4.0 requires the Universitas Terbuka Statistics study program to change the educational curriculum that aims to produce quality graduate competencies. Therefore, to collect informationand evaluate the competence of graduates, it is necessary to conduct tracer study research on each graduate. This study aims to measure user satisfaction with graduate competencies using Gap analysis, Importance-Performance Analysis (IPA), Customer Satisfaction Index (CSI), and a multi-attribute Fishbein model. Based on the value of Gap and Science, the main priority that must be improved by graduates to meet user expectations is the ability to solve problems, generate ideas, and be able to present the results of these ideas in the form of reports/journals. The value of the level of suitability between user satisfaction and the importance of the ability of graduates is very good at 92.87% and a CSI value of 78.25%, which means that overall user satisfaction with graduates is good, besides thatbased on the results of the multi-attribute Fishbein model, an Ao value of 158.20 which means that graduate users have a positive attitude towards the abilities of UT Statistics program graduates.
A PARAMETER IDENTIFICATION APPROACH OF A PEM FUEL CELL STACK USING PARTICLE SWARM OPTIMIZATION

The fear of fossil fuels depletion as well as the constantly increasing pollution rates motivated most of today’s engineers and researchers towards focusing on renewable energies and their applications. Fuel Cells are one of the green technologies that are being explored extensively around the world. The work of this paper was done on the 3kW ElectraGen™ fuel cell system under study for domestic use in the United Arab Emirates (UAE). Several experiments were conducted at different operating points and relatively high ambient temperatures. The experimental I/V characteristics of the system are matched by identifying 13 different modeling parameters using basic fitting. The obtained model is then further optimized using Particle Swarm Optimization (PSO). The resulting model is validated experimentally and was found to highly resemble the system’s I/V characteristics yielding less than 1.5 V H∞ norm of the error.Copyright © 2013 by ASME
Evaluating Content Quality and Usefulness of Online Product Reviews

Online product reviews are an important resource for consumers in online marketplaces because they provide a useful source of support information during the purchase of goods. Furthermore, in some online marketplaces consumers have the opportunity to evaluate the usefulness of a review by using a binary evaluation interface provided by the online marketplace. These evaluations produce a usefulness score, which is calculated as a fraction of helpful votes out of the total votes that a review has received. The results of these evaluations indicate that the usefulness score of a particular review is significantly affected by the qualitative characteristics of the review as measured by readability tests applied to a large dataset of reviews collected from the United Kingdom section of the popular online marketplace Amazon.
A Robot Assisted High-flow Portable Cyclone Sampler for Bacterial and SARS-CoV-2 Aerosols

Airborne transmission of infectious diseases attracts great attention since the COVID-19 pandemic. Yet, there has been an intense dispute about aerosol transmission of the disease, which is largely due to lack of qualified instruments for studying the subject. Air sampling plays a critical role in all air pollution related study, and particularly critical for airborne pathogen detection. Here, we designed and evaluated a portable and high volume (400 L min-1) cyclone sampler named as Yao-CSpler using aerosolized Polystyrene (PS) uniform microspheres, Bacillus subtilis var. niger, Pseudomonas fluorescens, and both indoor and outdoor air particles. The experimental cutoff size of the Yao-CSpler was demonstrated to be 0.58 m (while the calculated theoretical value is 1.84 m), and the sampler has shown stable microbial collection performances for bacteria, fungi, and even viruses. The sampler had a physical collection efficiency of close 100% for particles of larger than 1 m. Jet-to-liquid distance and sampling duration were shown to substantially influence the sampler performance. Given the same sampling duration, the performances of the Yao-CSpler were significantly higher than those of the traditional BioSampler (SKC Inc.) in terms of samples' bacterial diversity. The developed sampler coupled with a robot has been successfully applied to sampling airborne SARS-CoV-2 in both Wuhan and Beijing during the COVID-19 outbreaks. With a high sampling flow, the Yao-CSpler was shown to be able to collect the SARS-CoV-2 with a detectable concentration level down to 9-219 viruses m-3 in clinical settings housing COVID-19 patients. Further more efficient bioaerosol sampler, which is able to rapidly capture low level pathogenic agents, is urgently required to better understand and confront airborne transmission of infectious diseases.
On the improvement for charging large-scale flexible electrostatic actuators

Recently, the development of flexible electret based electrostatic actuator has been widely discussed. The devices was shown to have high sound quality, energy saving, flexible structure and can be cut to any shape. However, achieving uniform charge on the electret diaphragm is one of the most critical processes needed to have the speaker ready for large-scale production. In this paper, corona discharge equipment contains multi-corona probes and grid bias was set up to inject spatial charges within the electret diaphragm. The optimal multi-corona probes system was adjusted to achieve uniform charge distribution of electret diaphragm. The processing conditions include the distance between the corona probes, the voltages of corona probe and grid bias, etc. We assembled the flexible electret loudspeakers first and then measured their sound pressure and beam pattern. The uniform charge distribution within the electret diaphragm based flexible electret loudspeaker provided us with the opportunity to shape the loudspeaker arbitrarily and to tailor the sound distribution per specifications request. Some of the potential futuristic applications for this device such as sound poster, smart clothes, and sound wallpaper, etc. were discussed as well.
The need for EUV lithography at advanced technology for sustainable wafer cost

Extreme Ultra-Violet lithography (EUVL) is considered as the most promising candidate to replace optical lithography from the 14nm technology node onwards. EUVL has recently been supplanted by multiple patterning using existing 193nm immersion lithography tools for upcoming 14 nm technology node due to the current resolution limitations and production level efficiency restrictions. In this paper, a wafer cost model for technology node from 28nm down to 14nm has been developed. It identifies lithography module as the key component where innovation can be leveraged to reduce cost. The results presented in the paper reveal that wafer cost will be increased by 30% from 28nm to 20nm technology node. A 70% increase in wafer cost is foreseen during a transition from 20nm to 14nm node based on 193nm immersion lithography and multiple patterning. The cost analysis predicts a 30% wafer cost reduction by adapting EUVL at a 14 nm technology node compared to 193nm immersion technology (normalized to 28nm wafer cost). It proves that the readiness of EUVL is critical to keep scale the logic devices at the pace of Moore’s law without violating the scale of economics in semiconductor industry.
NDC1 is a Prognostic Biomarker and Associated with Immune Infiltrates in Colon Cancer

Background Colon cancer is one of the most lethal cancers in the world. NDC1 is a crucial membrane-integral nucleoporin of nuclear pore complexes. The clinical significance of NDC1 in colon cancer has not been demonstrated to date. Therefore, we determined to evaluate the association between NDC1 and colon cancer using the open-access database. Methods The TCGA data of colon cancer were extracted to determine the relationship between NDC1 and the clinical characterization. We assessed the predictive role of NDC1 expression in the survival of patients with colon cancer. Univariate and multivariate Cox proportional hazard models were applied to analyze the association between the clinical factors and prognosis. The TIMER database was used to describe the association between immune cell infiltration and specific gene expression in the colon cancer context. Gene set enrichment analysis (GSEA) was performed based on the TCGA dataset. Results A total of 445 colon cancer patients with complete clinical information were included. NDC1 expression was significantly up-regulated in colon cancer tissues compared to adjacent normal tissues. Univariate and multivariate Cox regression analyses showed that NDC1 was an independent prognostic factor. Patients with a higher level of NDC1 expression tend to survive longer compared to those with a lower level of NDC1 expression. The level of the NDC1 expression is significantly associated with TNM stages. Furthermore, we constructed a nomogram to predict the prognosis by using NDC1 as a factor. The expression of NDC1 was significantly associated with infiltration of B cell, CD8+T cells, macrophages, neutrophils, and dendritic cells in colon cancer lesions. Additionally, NDC1 was predominantly enriched in KRAS-related signaling pathways by GSEA. Conclusion NDC1 can serve as a prognostic biomarker, which is negatively correlated with aggressiveness and positively associated with immune infiltrates of colon cancer.
Low profile printed antenna for dual operation

This paper focusses on the design of microstrip antenna which can operate at GPS (Global Positioning System) satellite frequencies in the L-band. The main objective of this work is to design a rectangular antenna with two equal size radiating elements, each operates at a different frequency within the L-band. The Mathcad software is used for computing and correlating the relevant design formulations. Suggestions on suitable thickness of the microwave laminate dielectrics are made and justified. Micropatch and Sonnetlite have been used for the simulation work performed on the designed antennas. The Micropatch software is also able to predict the design dimensions of the specified frequencies with the appropriate feeding technique chosen. The Sonnetlite software is used as alternative simulation on the designed antennas. The antennas are well matched at the input. The most suitable size of the radiating patch is obtained as 38 mm by 51 mm.
Acute kidney injury prevalence in patients with colorectal cancer undergoing surgery with curative intent

Introduction Acute kidney injury (AKI) is a frequent postoperative complication. However, data on the incidence of AKI in patients with colorectal cancer (CRC) undergoing surgery with curative intent are still limited. We examined the relationship between postoperative AKI among CRC surgery patients and preoperative therapy or no prior therapy. Material and methods A total of 326 consecutive patients from the regional oncology center undergoing CRC surgery in the period January to December 2019 were included in the observational cohort study. We defined AKI as a 50% increase in plasma creatinine or initiation of renal replacement therapy within 7 days after surgery or an absolute increase in creatinine of 0.3 mg/dl within 48 hours. Results Acute kidney injury occurred in 36 patients (11%), 27 of whom underwent rectum resection, and 9 underwent colon resection. The incidence of AKI was identical in both types of surgery. Among 54 patients undergoing neoadjuvant radiochemotherapy, 6 patients (11%) developed AKI, while there was no case of AKI in 31 patients with neoadjuvant radiotherapy. Among 36 patients with AKI, 33 had hypertension, 27 had diabetes and 18 had at least stage 3 of chronic kidney disease before the surgery. Conclusions Acute kidney injury after surgery for CRC is a relatively frequent postoperative complication, in particular, in patients with prior impairment in kidney function and comorbidities such as hypertension and diabetes. Appropriate preoperative therapy, including optimal hydration, withdrawal of potentially nephrotoxic drugs, etc., may reduce the incidence of AKI.
Risk-based distributed generation placement

A strategy is presented for the placement of distributed generation (DG) units in the distribution networks in an uncertain environment. Uncertainties in the system are modelled using fuzzy numbers. The proposed approach is based on a multi-objective model in which the objectives are defined as minimisation of monetary cost index (including investment, operation cost of DG units and cost of losses), technical risks (including risks of voltage and loading constraints violation because of load uncertainty) and economic risk due to electricity market price uncertainty. The true Pareto-optimal solutions are found with a multi-objective genetic algorithm and the final solution is found using a max–min approach. An example is presented to demonstrate the effectiveness of the proposed methodology.