Miracle-dz/UniFAR-FTUs huggingface dataset:
Direct synthesis of compact wideband differential bandpass filter on composite triple‐mode resonator

In this paper, a direct synthesis approach is proposed for design of a compact wideband differential‐mode (DM) bandpass filter (BPF) on a composite triple‐mode resonator. By virtue of intrinsic common‐mode (CM) suppression in slotline portion, only the DM transmission performances need to be focused on in our design, so as to facilitate the design process. Consequently, a synthesis approach based on an equivalent simplified network is established to design this DM BPF, resulting to directly determine all the circuit element values. A wideband DM BPF is then designed to validate effectiveness of proposed synthesis method. Finally, two circuit prototypes have been designed, fabricated, and measured. The synthesized, simulated and measured results agree well with each other over a wide operating band, which has demonstrated the proposed DM BPFs' attractive performances, such as wide bandwidth of operation, sharpened frequency selectivity, and good CM suppression.
Statistical Methods of Analysis

Descriptive Statistics Probability Random Variables Probability Distributions Statistical Inference -- Interval Estimation Hypothesis Testing -- Fundamental Concepts Testing Hypotheses Concerning Population Means and Population Proportions The Chi-Square Test Linear Regression Correlation Multiple Regression and Correlation One-Way Analysis of Variance Two-Way Analysis of Variance -- Fixed Effects Model Two-Way Analysis of Variance Random-Effects Model and Mixed Model Design of Experiment Analysis of Covariance Non-Parametric Statistics.
Efficient Edge Nodes Reconfiguration and Selection for the Internet of Things

Recent technological improvements have modernized the industrial sector. These improvements range from autonomous to automation of industrial processes. The industrial sector requires all the process to be accomplished locally because of the security and delay constraints. To accomplish the goal, edge/fog is a possible middleware between a cloud and an industrial environment. Edge nodes can provide processing with acceptable security and latency to robots, sensors, and actuators in the industrial environment. The industrial system configures various services at the edge nodes to enhance and automate the performance of the system. This paper considers an important but less investigated service hosting problem, where the edge nodes are dynamically reconfigured to host possibly the most recently requested services from the sensor nodes. Because of the limited storage and computational resource at the edge nodes, the problem of reconfiguration is important, which can increase the number and types of services hosted by the edge node. When a sensor node is within the transmission range of multiple fog nodes, to efficiently select the most appropriate fog node for data transmission, different types of fog node selection methods, random selection, shortest estimated latency first, and shortest estimated buffer first, have been considered and evaluated in this paper with satisfactory results.
Value Representations in the Rodent Orbitofrontal Cortex 1 Drive Learning , not Choice 2 3

13 Humans and animals make predictions about the rewards they expect to receive in different 14 situations. In formal models of behavior, these predictions are known as value representations, 15 and they play two very different roles. Firstly, they drive choice: the expected values of available 16 options are compared to one another, and the best option is selected. Secondly, they support 17 learning: expected values are compared to rewards actually received, and future expectations are 18 updated accordingly. Whether these different functions are mediated by different neural 19 representations remains an open question. Here we employ a recently-developed multi-step task 20 for rats that computationally separates learning from choosing. We investigate the role of value 21 representations in the rodent orbitofrontal cortex, a key structure for value-based cognition. 22 Electrophysiological recordings and optogenetic perturbations indicate that these representations 23 do not directly drive choice. Instead, they signal expected reward information to a learning 24 process elsewhere in the brain that updates choice mechanisms. 25 26
A review on the prediction of students’ academic performance using ensemble methods

Introduction: This article is a product of the research “Ensemble methods to estimate the academic performance of higher education students”, developed at the Universidad Distrital Francisco José de Caldas in the year 2021, focusing on the review of research work developed in the last five years related to the prediction of academic performance using ensemble algorithms. Objective: The literature review aims to identify the most used algorithms and the most relevant variables in the prediction of academic performance. Methodology: A systematic review of the literature was carried out in different academic databases (Science Direct, Scopus, SAGE Journals, EBSCO, ResearchGate, Google Scholar), using search equations built with keywords. Results: 54 related articles were found that meet the inclusion criteria of the review. Additionally, benefits were found in the application of ensemble methods in the prediction of academic performance. Conclusion: It was found that the most influential variables in academic performance correspond to the academic factor. The algorithm used that presents the best results is Random Forest; in addition to being the most used. The use of these algorithms is an accurate tool to predict academic performance at any stage of university life, and at the same time provide information to generate strategies to improve dropout and academic retention indicators.
Linking Hospitals to Communities Through Evidence-Based Practice

Abstract Evidence-based practice (EBP) and innovation are critical to quality and improved outcomes in the acute care setting and are often driven by bedside caregiver and clinical nurse specialist collaboration. Several EBP models and frameworks exist to guide these efforts. Although existing models do not preclude external evidence and community-based stakeholders, they largely do not explicitly connect the hospital-based effort to the community either. In our experience in facilitating EBP projects within an acute care hospital in the upper Midwest, we observed multiple situations in which nurse-led EBP projects intersected with the surrounding community in multiple phases of the project. The purpose of this article is to demonstrate an explicit connection between hospital-placed EBP processes and community/population health. To illustrate this assertion, 3 exemplars of nurse-driven, hospital-placed innovation are presented. Implications for practice and research are discussed.
Advances in MOEMS technologies for high quality imaging systems

An overview of advances in MOEMS devices and technologies for high quality imaging systems is provided. A particular focus is laid on recent technological further developments possibly opening gateways to unprecedented device and system functionality by e. g. : increase of pixel count towards higher parallel operation, decrease of the mirror pitch in large arrays towards applications like high-performance holography, novel technologies for higher operation bandwidth, increase of aperture size for scanning applications like LIDAR, integration of high reflection coatings for processing of multi Watt laser radiation for marking and engraving, and phased arrays for high speed laser beam steering.
Evaluation on knowledge extraction and machine learning in resolving Malay word ambiguity

The involvement of linguistic professionals in resolving the ambiguity of a word within a particular context will produce a concise meaning of the words that are found in the lexical knowledge based collection. Motivated from that issue, we employed lexical knowledge and machine learning approach which includes the integration of data or/and information from the lexical knowledge based, that is Malay collections which linked to the ambiguous words. We used the most open class word and removed the stop words from the targeted sentences. Experiments have been conducted with and without lexical knowledge on 50 ambiguous words. The Word Sense Disambiguation (WSD) method is determined by machine learning, corpus based approaches namely Malay-Malay corpus and English-Malay corpus. The results show that the proposed method has improved the precision in resolving ambiguity. Keywords: ambiguity; lexical knowledge; machine learning; Malay word
A fuzzy reasoning approach to assess innovation risk in ecosystems

Abstract Currently, companies to be competitive must achieve high rates of innovation and respond quickly to market needs. According to a number of managers and researches innovation is crucial for companies to stay “alive. " Taking into account several reports, the development of co-innovation networks based on a collaborative environment is the best strategy to support innovation projects. However, the absence of mechanisms to detect and even anticipate potential risks of innovation based on a collaborative approach is an obstacle to the proliferation of this way of working. To address this issue, this paper discusses an approach based on fuzzy reasoning for analyzing the level of risk in co-innovation projects. It is discussed how this approach can be applied to co-innovation projects within the context of a collaborative ecosystem. At last, it is discussed the benefits, and challenges found on experimental results from a Portuguese co-innovation network.
Activation Energy, Temperature Coefficient and Q10 Value Estimations of the Growth of 2,4-dinitrophenol-degrading Bacterium on 2,4-dinitrophenol

In addition to its use as a pesticide, the chemical compound known as 2,4-dinitrophenol (2,4-DNP) is also utilized in the creation of wood preservatives and colors. Symptoms of acute (short-term) exposure to 2,4-DNP in humans include nausea or vomiting, sweating, headaches, disorientation, and a loss of weight. This type of exposure occurs when the substance is consumed orally. There are a few different models that may be used to simulate the growth rate of microorganisms on a variety of different medium at a range of temperatures. These models can be found online. One of the models that is employed the most frequently is the Arrhenius model, in part because it has a limited number of parameters. The development and metabolic activities of bacteria on the substrates they are grown on are commonly influenced by temperature. Temperature can also affect the growth of germs. Microbes are extremely sensitive to changes in temperature because of their small size. A discontinuous apparent activation energy with a chevron-like graph was used in order to describe the growth of a 2,4-dinitrophenol-degrading bacterium on 2,4-dinitrophenol. The break point of the graph was set at 28.05 °C. This was done so that the development of the bacterium could be described. Following the conclusion of the regression analysis, two temperature ranges for activation were determined. These temperature ranges were 20-27 °C and 30-42 °C, and their associated activation energies were 41.72 and 84.72 kilojoules per mole, respectively. It was anticipated that the Q10 value would be 2.905 and that the theta value would be 1.11 when considering the temperature range that was considered (30-42 °C). Due to the all-encompassing scope of this study, it is particularly useful for forecasting the effect of temperature on the breakdown and fate of 2,4-dinitrophenol during bioremediation.
Architectural design creativity in Multi-User Virtual Environment: A comparative analysis between remote collaboration media

Previous studies have argued that a Multi-User Virtual Environment has the potential to foster creative collaboration, but empirical studies that examine this claim are rare. With a focus on architectural design, this study has investigated the affordance of Multi-User Virtual Environment for the production of novel and appropriate solutions in remote collaborative environments. Forty-four participants produced design solutions using Multi-User Virtual Environment and online sketching in remote collaboration. Four expert-judges assessed the novelty and appropriateness of the collaborative results, following the Consensual Assessment Technique. The results analyzed by paired samples T-test indicated that in remote collaboration, Multi-User Virtual Environment’s scores for both novelty and appropriateness were partially higher than those of online sketching. In remote collaboration, the immersion by avatars and co-presence with others in Multi-User Virtual Environment were perhaps more effective due to explicit communication cues used to share spatial information and collaborative procedure, compared to the two-dimensional, static representation of online sketching.
A Modified Weighted Kappa for the Comparison of Different Measurement Scales

This paper investigates possible causes of the discordance between two ordinal scales evaluating the same good or service. In psychometric literature, Cohen’s Kappa is one of the most important index to evaluate the strength of agreement, or disagreement, between two nominal variables, in particular in its weighted version. In this paper a Modified Weighted Kappa is proposed. A proper procedure to determine the lower and upper triangle in a non-square table is also implemented, so to generalize the index in order to compare two scales with different number of categories. With the aim to verify the tendency of a scale to have a mainly positive or negative rating compared to a different one, a parametric test is set up. A study with real data is also conducted.
Antioxidant Vitamins and Minerals Composition of Fresh Carrot-Cabbage Juice BIOREMEDIATION TECHNOLOGY

Antioxidants are substances that protect cells from the damages caused by free radicals. Fruit and vegetables are rich in antioxidants and provide important sources of antioxidants. While the quest for an antioxidant supplement is ongoing, this study investigated the antioxidant vitamins and minerals composition of fresh carrot-cabbage juice. Antioxidant vitamins and minerals compositions of the juice were determined by standard methods using spectrophotometry and atomic absorption spectrophotometry (AAS) respectively. The concentration of antioxidant vitamins was found to be in the order; vitamin C > vitamin A > vitamin E. However, manganese has the highest concentration ( P < 0.05) among minerals. There is no significant difference between the concentrations of manganese and copper (P > 0.05). The concentration of chromium is significantly lower ( P < 0.05) than that of manganese and copper but greater ( P < 0.05) than that of zinc. The study showed that fresh carrot-cabbage juice contains a respective concentration of antioxidant vitamins (A, C and E) and antioxidant minerals (Cu, Cr, Mn and Zn). The juice is hence a good source of antioxidant vitamins and minerals and may help complement the antioxidant system of the body.
SoundVizVR: Sound Indicators for Accessible Sounds in Virtual Reality for Deaf or Hard-of-Hearing Users

Sounds provide vital information such as spatial and interaction cues in virtual reality (VR) applications to convey more immersive experiences to VR users. However, it may be a challenge for deaf or hard-of-hearing (DHH) VR users to access the information given by sounds, which could limit their VR experience. To address this limitation, we present “SoundVizVR”, which explores visualizing sound characteristics and sound types for several types of sounds in VR experience. SoundVizVR uses Sound-Characteristic Indicators to visualize loudness, duration, and location of sound sources in VR and Sound-Type Indicators to present more information about the type of the sound. First, we examined three types of Sound-Characteristic Indicators (On-Object Indicators, Full Mini-Maps and Partial Mini-Maps) and their combinations in a study with 11 DHH participants. We identified that the combination of Full Mini-Map technique and On-Object Indicator was the most preferred visualization and performed best at locating sound sources in VR. Next, we explored presenting more information about the sounds using text and icons as Sound-Type Indicators. A second study with 14 DHH participants found that all Sound-Type Indicator combinations were successful at locating sound sources.
Evaluating Machine Translation in Cross-lingual E-Commerce Search

Multilingual query localization is integral to modern e-commerce. While machine translation is widely used to translate e-commerce queries, evaluation of query translation in the context of the down-stream search task is overlooked. This study proposes a search ranking-based evaluation framework with an edit-distance based search metric to evaluate machine translation impact on cross-lingual information retrieval for e-commerce search query translation, The framework demonstrate evaluation of machine translation for e-commerce search at scale and the proposed metric is strongly associated with traditional machine translation and traditional search relevance-based metrics.
Interference and Removal of Respiration Harmonics on Noncontact Seismo-cardiogram Signals

The microwave radar technique is a promising noncontact method for detecting seismocardiogram (SCG) signals, which can provide valuable information regarding the mechanical aspects of cardiovascular health. The noncontact method takes the measurement without directly attaching sensors to the skin, therefore providing a less obtrusive and more convenient solution for the patient. Our preliminary investigation has demonstrated the ability of this noncontact approach to capture the timing features of the SCG waveform. However, since the chest wall motion measured by the noncontact microwave radar sensor contains both respiration and heartbeat patterns of a human subject, higher order harmonics of the respiration signal might severely contaminate the noncontact SCG signals. Since the respiration harmonics are discretely spread in the full frequency band of heartbeat signals, comb filters are adopted to remove the respiration harmonic interference. To achieve the goal of reducing interference of respiration harmonics and at the same time preserving as much cardiac information as possible, the comb filters are designed to have a steep slope and a narrow bandwidth. The position of the respiration and its harmonics are obtained with a complex demodulation method and are used as the input parameter of the comb filter. A comb filter with a shelving filter order of 10 and a bandwidth of 0.024 Hz, which can filter out the respiration harmonics up to the 10th order, is demonstrated to be effective in reducing the interference of respiration harmonics and in improving the capability of extracting the change of systolic time intervals from the noncontact SCG signals in the presence of physiological perturbations.
Stomatal Mechanisms Determining Genetic Resistance to Ozone in Phaseolus vulgaris L.1

The ozone-sensitive bean cultivars ‘Spurt’ and ‘Blue Lake Stringless’ and the ozone-resistant cultivars ‘Black Turtle Soup’ and ‘French’s Horticultural’ were grown from seed in a growth chamber. The resistant cultivars had 25% fewer stomata per mm2 leaf area than the sensitive cultivars and exhibited partial stomatal closure following exposure to 134 pphm ozone for 1 hr, while the sensitive cultivars did not. Stomatal closure was determined to be more important than reduced stomatal frequency in providing resistance to ozone. On the basis of previously established ozone dose-response data for P. vulgaris, the stomatal mechanisms appeared to account for the difference in ozone sensitivity between the sensitive and resistant cultivars. Neither leaf area nor leaf expansion rate were correlated with genetic resistance to ozone in these cultivars.
Modelling Graphene Field-Effect Transistors

Today, transistors with 20 nanometer (nm) channel length are in mass production and many researchers believe that we are reaching a limit with downsizing conventionally used silicon metal-oxide-semiconductor field-effect transistors (MOSFETs) [1]. To keep up with the trend of making the transistor smaller, new channel materials are studied, and graphene has come into the spotlight. Graphene became a serious contender mostly due to its high mobility, but other properties such as high velocity saturation and the two-dimensional (2D) nature of the material have gained more attention in recent years [2–4]. The first graphene field-effect transistor (GFET) was reported in 2004, since many transistors with graphene as a channel material have been successfully fabricated [3]. It is important to have accurate simulation models that showcase all the peculiar behaviours of GFETs. Even though several new models with high accuracy, have been presented in recent years, few theoretical explanations exist. This thesis work focuses greatly on the theory behind two different simulation models for GFETs. Several parameter approximations are investigated, with focus on the possibility of showcasing negative differential resistance (NDR). In conclusion, we can see that the drift-diffusion (DD) model show good agreement with data and showcases NDR, while the virtual source (VS) model is more unstable and does not give NDR. I hope this thesis can act as a knowledge base, to facilitate for future simulation models. (Less)
Evolution of tributary junctions and their capacity for rearing juvenile Chinook salmon (Oncorhynchus tshawytscha) on a regulated river

The Trinity River in northern California was adjusting to unregulated flood and mining impacts when it was dammed and flow regulation began in 1960. We examine the subsequent evolution of the river's alluvial channel through 60 years of increases in regulated mainstem flow regimes in an unconfined and confined valley where Rush and Indian creeks respectively join the river 6.9 and 26.7 river kilometres from Lewiston Dam. The resulting capacity of the tributary junctions for rearing Chinook salmon fry in the current flow regime is evaluated with an empirical model developed for the Trinity River. Results indicate that morphologic changes at Indian Creek were relatively minor after damming because mainstem flows were restricted to a narrow channel in comparison to the channel at Rush Creek. Conversely, active channel and bar areas significantly declined at Rush Creek because the mainstem sediment supply was more severely reduced by flow regulation that enabled riparian vegetation to colonize the expansive alluvial surfaces that were present. These changes reduced instream habitat, suggesting salmon populations in large valleys may be at higher risk below dams than in smaller valleys where the reduced flow is confined to an already narrow channel. However, the relatively wide and unconfined valley responded more positively to increases in flow and sediment through the regulatory periods to yield significantly higher capacities for rearing Chinook fry. Therefore, while unconfined reaches may be particularly susceptible to change when a river is dammed, they may also provide the greatest opportunity for restoration of salmon populations.
Short- and long-terms stimulatory impacts of calcium oxide nanoparticles (CaONPs) on the growth, photosynthesis and antioxidant enzymes of Chlorella sp.

Research on the impact of calcium oxide nanoparticles (CaO NPs) is very little in the literature. In this work, responses of growth, photosynthesis, and antioxidant enzymes activities in Chlorella sp to short term treatment (5 hours) and to long-term treatment (5 days) by CaO NPs (0, 20, 40, 60, 80 and 100 ppm) were investigated. The results revealed that, the highest Chlorella sp growth and Chlorophyll content were recorded at 100 ppm CaO NPs. The highest photosynthetic oxygen evolution (P N ) was recorded