Miracle-dz/UniFAR-FTUs huggingface dataset:
A Shallow Domain Knowledge Injection (SDK-Injection) Method for Improving CNN-Based ECG Pattern Classification

ECG pattern classification for identifying the progress status of various heart diseases is a typical nonlinear problem. Therefore, deep learning-based automatic ECG diagnosis is being widely studied, and for this purpose, the CNN is mainly used to classify ECG patterns. In this case, it is hard to expect any further improvement in accuracy after optimizing the parameters. We propose a shallow domain knowledge injection method that can improve the accuracy of the existing parameter-optimized CNN. The proposed method can improve the accuracy by effectively injecting shallow domain knowledge, that can be acquired by non-medical experts, into the existing parameter-optimized CNN. The experiments show that the proposed method can be applied to both heart disease diagnoses and general ECG classification tasks, while improving the existing accuracy for both types of tasks.
The climate resilience cycle: Using scenario analysis to inform climate‐resilient business strategies

Climate change affects the business environment, and companies need future-oriented information to build climate resilience. To this end, companies are encouraged to conduct climate change scenario analysis, as recommended by the Task Force on Climate-Related Financial Disclosures (TCFD). However, companies' actual adoption of this practice is limited as they lack a straightforward scenario analysis implementation process and relevant climate change knowledge. This research develops an implementation process by clarifying the concept of resilience into a stability and a change domain and by specifying the type of focal questions for these two domains. Next, a scenario typology guides the selection of reference scenarios, and two standard scenario methods guide the tailoring of these reference scenarios to company-specific scenarios. By structuring this process in five steps and specifying input and process requirements, we provide an implementation process called the climate resilience cycle. By applying the cycle in transdisciplinary teams of climate change experts and company staff with knowledge about the company value chain, we bring in the required knowledge. To become climate resilient, the outcomes of the climate resilience cycle need to be integrated in the business planning and the overall company strategy. We argue that implementing the cycle as a new company routine contributes to the development of dynamic capabilities like sensing, seizing and transforming, which have been proven to be essential for integrating sustainability in company strategies. Once begun, we show how the cycle can become part of a company strategy process.
Being inspired: What we have learned about picky eating in childhood from using questionnaires on feeding practices and behaviors in a longitudinal birth cohort

We have made an extensive study of the development of picky eating behavior in childhood, and its effects on diet and growth, using data from the Avon Longitudinal Study of Parents and Children (ALSPAC). Questions, inspired by experience, were asked at regular intervals about difficulties parents had in feeding their child and how they responded to these difficulties. The data collected have provided insight into the development and consequences of being a picky eater in childhood. The importance of collecting prospective data on diet and feeding behaviors in early life studies is emphasized.
User Experience Insight: Steering Experience Design Through Meaningful Incorporation

Interest in User Experience (UX) is on the rise; however, designing for User Experience presents unique challenges because of the subjective nature of experience. Whereas UX theory is plentiful, there is a distinct lack of precedent when it comes to practical UX design knowledge. The aim of this work is to contribute to the field of interaction design with knowledge on how to conduct a UX centered design process. Specifically, the thesis’ goals are to define and exemplify a UX design process through use of design methods and strategies that promote UX design. The User Experience design process is demonstrated through case studies on the design of in-vehicle systems, therefore a secondary goal of the thesis is to generate knowledge for the User Experience design of in-vehicle systems. A series of studies have been conducted within the frame of the thesis with the ultimate result being the concept of Meaningful Incorporation. This thesis proposes Meaningful Incorporation (MI) as a design approach for adapting the design process to focus on designing for User Experience. MI is achieved by collecting User Experience Insight as the first step in one’s design process. User Experience Insight consists of UX data with special attention to the UX aspects of time, emotions, and context. UX Insight is then systematically incorporated into subsequent phases of the design process by using design methods that mandate its use. With Meaningful Incorporation and the utilization of the methods and insights found in the thesis, design professionals can take on UX design without compromising designerly intuition. Instead, Meaningful Incorporation can enhance their process to create solutions that can support desirable User Experiences.
Sensitivity Study Of A Small Maritime Rotary UAS Operating In A Turbulent Airwake

This paper describes helicopter model development work which will be used in the next stage of a research project to establish flying qualities requirements for Unmanned Aircraft Systems (UAS) operating in Maritime Environments. A new T-REX helicopter model, classed as a Mini UAS, has been built in the FLIGHTLAB simulation environment. A brief description of the model set up is provided alongside some of the core model parameters. A simple rotor optimization study was completed to assess the rotor for both hover and 30knots airspeed; the rotor parameters chosen were found to be a good compromise between these flight conditions. A frequency response analysis was also completed and the results compared to two other aircraft models; an RMAX helicopter and an aircraft similar to an SH-60B (Seahawk). These aircraft were placed in an unsteady ship airwake to assess the effect of turbulence with decreasing aircraft size. Although the smaller aircraft exhibit higher bandwidth in pitch and roll response, they were found to experience significantly larger disturbances in translation and rotational accelerations. This can be attributed to their reduced mass and inertia characteristics. Â© 2015 by the American Helicopter Society International, Inc.
Feedback Active Noise Control in a Crew RestCompartment Mock-Up

In the process of creating more fuel efficient aircraft, lightweight ma- terials have found a broad spectrum of applications, especially in the design of aircraft cabin structures. However, in many cases considerations towards acoustic design specifications and work environment regulations require that the previously lightweight structures are treated with heavy and often bulky damping material. In some cases, as with the small rest areas of a crew rest compartment (CRC), this makes the use of active control systems attractive. In this study, the design and application of local active noise control methods in small aircraft cabin areas such as the CRC of a long range jet is discussed. The approach comprises an adaptive multichannel feedback controller with a type of virtual microphone which is imple- mented and tested in an acoustic mock-up. Significant noise attenuation is achieved for frequencies below 400 Hz in a zone of quiet that extends over the sides of an arti- ficial head. Further system improvement strategies and enhancements are described such as convergence improvement by a prediction-error-filter based equalization of secondary path characteristics as well as the use of the filtered-error feedback filtered-reference LMS algorithm.
Machine Selection by AHP and TOPSIS Methods

Selection of the most suitable machine is very crucial in the modern economy to prompt production level as well as revenue generation. In order to endure in the global business scenario, companies must find out the proper way that leads to the successful production environment. Machine selection has become challenging as the number of alternatives and conflicting criteria increase. A decision support system has been developed in this research in machine evaluation process. This framework will act as a guide for decision makers to select the suitable machine via an integrated approach of AHP & TOPSIS. The anticipated methods in this research consist of two steps at its core. In the first step, the criteria of the existing problem are inspected and identified and then the weights of the sector and sub-sector are determined that have come to light by using AHP. In the second step, eligible alternatives are ranked by using TOPSIS. A demonstration of the application of these methodologies in a real life problem is presented.
Effects of Tasting and Ingredient Information Statement on Acceptability, Elicited Emotions, and Willingness to Purchase: A Case of Pita Chips Containing Edible Cricket Protein

Sustainable and nutritious alternatives are needed to feed the ever-increasing world population. The successful incorporation of edible-cricket protein (ECP) into foods needs deeper consumer insights. Treatments (plain, Italian, and Cajun pita chips containing 6.9% w/w ECP) were evaluated by subjects for overall liking (OL), emotions, and purchase intent (PI) in three different moments: (1) before tasting, (2) after tasting/before ECP statement, and (3) after tasting/after ECP statement. Attributes’ liking scores were evaluated only after tasting/before ECP statement. Liking scores (mixed-effects ANOVA), emotions, and PI across moments within treatments/across treatments within moments were evaluated. Emotion-based penalty-lift analyses for OL within moments were assessed using two-sample t-tests (p < 0.05). Random forest model analyzed after-tasting informed PI and variables’ importance. Although formulations’ OL and PI were similar across moments, plain and Italian chips had higher after-tasting (before and after ECP statement) OL than the Cajun chips. Moments indirectly affected OL via emotions elicitation. Valence and activation/arousal emotions discriminated across moments for the plain treatment whereas valence and mostly activation/arousal terms discriminated across moments for the Italian and Cajun treatments, respectively. For either formulation or moment, “interested” and “adventurous” positively affected OL. Before and after-tasting attribute liking, “satisfied,” and “enthusiastic” emotions were critical in predicting after-tasting informed PI.
piRNAs and PIWI Proteins as Diagnostic and Prognostic Markers of Genitourinary Cancers

piRNAs (PIWI-interacting RNAs) are small non-coding RNAs capable of regulation of transposon and gene expression. piRNAs utilise multiple mechanisms to affect gene expression, which makes them potentially more powerful regulators than microRNAs. The mechanisms by which piRNAs regulate transposon and gene expression include DNA methylation, histone modifications, and mRNA degradation. Genitourinary cancers (GC) are a large group of neoplasms that differ by their incidence, clinical course, biology, and prognosis for patients. Regardless of the GC type, metastatic disease remains a key therapeutic challenge, largely affecting patients’ survival rates. Recent studies indicate that piRNAs could serve as potentially useful biomarkers allowing for early cancer detection and therapeutic interventions at the stage of non-advanced tumour, improving patient’s outcomes. Furthermore, studies in prostate cancer show that piRNAs contribute to cancer progression by affecting key oncogenic pathways such as PI3K/AKT. Here, we discuss recent findings on biogenesis, mechanisms of action and the role of piRNAs and the associated PIWI proteins in GC. We also present tools that may be useful for studies on the functioning of piRNAs in cancers.
Crossing The Limits

Constructing a more than 1,000 m long bridge across a deep canyon with rocky terrain and limited access would present challenges to engineering and construction professionals anywhere. But for the team designing and building a new crossing in central China, whirling winds and deep caves beneath the tower foundations added complications that even the most experienced engineers may never have encountered. Their solutions included a complex pulley system to lift the deck sections, an innovative cable anchoring system—and a rocket launcher.
Morpho-Molecular Characterization of Five Novel Taxa in Parabambusicolaceae (Massarineae, Pleosporales) from Yunnan, China

Parabambusicolaceae is a well-studied family in Massarineae, Pleosporales, comprising nine genera and approximately 16 species. The family was introduced to accommodate saprobic bambusicola-like species in both freshwater and terrestrial environments that mostly occur on bamboos and grasses but are also found on different host substrates. In the present study, we surveyed and collected ascomycetes from bamboo and submerged grass across Yunnan Province, China. A biphasic approach based on morphological characteristics and multigene phylogeny demonstrated five new taxa in Parabambusicolaceae. A novel genus Scolecohyalosporium is introduced as a monotypic genus to accommodate S. submersum sp. nov., collected from dead culms of grass submerged in a freshwater stream. The genus is unique in forming filiform ascospores, which differ from other known genera in Parabambusicolaceae. Multigene phylogeny showed that the genus has a close relationship with Multiseptospora. Moreover, the novel monotypic genus Neomultiseptospora, isolated from bamboo, was introduced to accommodate N. yunnanensis sp. nov. Neomultiseptospora yunnanensis formed a separated branch basal to Scolecohyalosporium submersum and Multiseptospora thailandica with high support (100% ML, 1.00 PP). Furthermore, the newly introduced species, Parabambusicola hongheensis sp. nov. was also isolated from bamboo in terrestrial habitats. Parabambusicola hongheensis clustered with the other three described Parabambusicola species and has a close relationship with P. bambusina with significant support (88% ML, 1.00 PP). Parabambusicola hongheensis was reported as the fourth species in this genus. Detailed description, illustration, and updated phylogeny of Parabambusicolaceae were provided.
S-UTD-CH model in multiple diffractions

ABSTRACT The propagation of electromagnetic waves in empty space is an extremely simplified case. Thus, the significant question is how an electromagnetic wave propagates in an environment with obstacles such as buildings, trees or hills. Electromagnetic waves are partially reflected and partially diffracted from these obstacles. To predict the relative path loss of electromagnetic waves at the receiving position, many electromagnetic-wave propagation models have been proposed. These propagation models can be classified into models based on numerical integration and those based on ray tracing. Uniform theory of diffraction (UTD) and slope-UTD (S-UTD) models are ray-tracing-based propagation models and are briefly explained in this paper. In addition, detailed information is provided about the improved slope UTD model, which is called the S-UTD with Convex Hull (S-UTD-CH) model. The fundamentals of the S-UTD-CH model are the S-UTD, convex hull and Fresnel zone concept. In particular, the S-UTD-CH model can be applied to multiple diffraction scenarios in the transition region. Moreover, the S-UTD-CH model is considered an optimum model in terms of its accuracy and calculation or computation time. Widespread simulation results are provided to compare the models based on theoretical rays in terms of prediction accuracy and computation time. To compare these models, different operation frequencies and transmitting antenna heights are considered by using a high-performance computing technique.
Estimating Phosphorus and COD Concentrations Using a Hybrid Soft Sensor: A Case Study in a Norwegian Municipal Wastewater Treatment Plant

Online monitoring of wastewater quality parameters is vital for an efficient and stable operation of wastewater treatment plants (WWTP). Several WWTPs rely on daily/weekly analysis of water samples rather than online automated wet-analyzers due to their high capital and maintenance costs. Soft-sensors are emerging as a viable alternative for real-time monitoring of parameters that either lack a reliable measuring principle or are measured using expensive online sensors. This paper presents the development, implementation, and validation of a hybrid soft sensor used to estimate Total Phosphorus (TP) and Chemical Oxygen Demand (COD) in the influent and effluent streams of a full-scale WWTP. A systematic method for cleaning and processing sensor data, identifying statistically significant correlations, and developing a mathematical model, is discussed. A non-intrusive Industrial Internet of Things (IIoT) infrastructure for soft-sensor deployment and a web-based GUI for data visualization are also presented in this work. The values of TP and COD estimated by the soft sensor are validated by comparing the estimated values to the daily average of their corresponding lab measurements. The data validation results demonstrate the potential of soft sensors in providing real-time values of essential wastewater quality parameters with an acceptable degree of accuracy.
Microstructure, Mechanical and Tribological Properties of Advanced Layered WN/MeN (Me = Zr, Cr, Mo, Nb) Nanocomposite Coatings

Due to the increased demands for drilling and cutting tools working at extreme machining conditions, protective coatings are extensively utilized to prolong the tool life and eliminate the need for lubricants. The present work reports on the effect of a second MeN (Me = Zr, Cr, Mo, Nb) layer in WN-based nanocomposite multilayers on microstructure, phase composition, and mechanical and tribological properties. The WN/MoN multilayers have not been studied yet, and cathodic-arc physical vapor deposition (CA-PVD) has been used to fabricate studied coating systems for the first time. Moreover, first-principles calculations were performed to gain more insight into the properties of deposited multilayers. Two types of coating microstructure with different kinds of lattices were observed: (i) face-centered cubic (fcc) on fcc-W2N (WN/CrN and WN/ZrN) and (ii) a combination of hexagonal and fcc on fcc-W2N (WN/MoN and WN/NbN). Among the four studied systems, the WN/NbN had superior properties: the lowest specific wear rate (1.7 × 10−6 mm3/Nm) and high hardness (36 GPa) and plasticity index H/E (0.93). Low surface roughness, high elastic strain to failure, Nb2O5 and WO3 tribofilms forming during sliding, ductile behavior of NbN, and nanocomposite structure contributed to high tribological performance. The results indicated the suitability of WN/NbN as a protective coating operating in challenging conditions.
MVPA and GA Comparison for State Space Optimization at Classic Tetris Game Agent Problem

Tetris is one of those games that looks simple and easy to play. Although it seems simple, this game requires strategy and continuous practice to get the best score. This is also what makes Tetris often used as research material, especially research in artificial intelligence. These various studies have been carried out. Starting from applying state-space to reinforcement learning, one of the biggest obstacles of these studies is time. It takes a long to train artificial intelligence to play like a Tetris game expert. Seeing this, in this study, apply the Genetic Algorithms (GA) and the most valuable player (MVPA) algorithm to optimize state-space training so that artificial intelligence (agents) can play like an expert. The optimization means in this research is to find the best weight in the state space with the minimum possible training time to play Tetris with the highest possible value. The experiment results show that GAs and MVPA are very effective in optimizing the state space in the Tetris game. The MVPA algorithm is also faster in finding solutions. The resulting state space weight can also get a higher value than the GA (MVPA value is 249 million, while the GA value is 68 million).
Effect of Inoculation with Arbuscular Mycorrhizal Fungi and Fungicide Application on the Secondary Metabolism of Solanum tuberosum Leaves

In potato (Solanum tuberosum) crops, the use of fungicides to control some diseases is widespread; however, it has been reported that this practice can modify the potato polyphenolic content, and new strategies oriented to the potato defense system are necessary. One alternative is the use of arbuscular mycorrhizal fungi (AMF) to improve the defense mechanisms of plants. In this study, phenolic profiles and antioxidant activities in leaves of three potato genotypes (CB2011-509, CB2011-104, and VR808) were evaluated in crops inoculated with three AMF strains (Claroideoglomus claroideum, Claroideoglomus lamellosum, and Fumneliformis mosseae) and with AMF in combination with the use of two commercial fungicides (MONCUT [M] and ReflectXtra [R]). Eight phenolic compounds were detected, mainly hydroxycinnamic acids (HCAD) and flavonols, in samples where the highest concentrations of HCAD were obtained, 5-caffeoylquinic acid was the most abundant phenolic. The antioxidant activity was higher using the cupric reducing antioxidant capacity (CUPRAC) and ferric reducing antioxidant power (FRAP) methods. The association of AMF with plants had benefits on the secondary metabolism; however, the response differed according to genotype. The different combinations of potato genotypes, AMF strain, and fungicide modified the content of phenolic compounds in leaves in different ways; the treatment using C. lamellosum and ReflectXtra was the ideal combination for the genotypes analyzed here, with the higher antioxidant response, which supports the further technological evaluation of efficient AMF strains and fungicides in potato crops.
Reactive Oxygen Species in Plants: From Source to Sink

Reactive oxygen species (ROS, partial reduction or derivatives of free radicals) are highly reactive, dangerous and can cause oxidative cell death. In addition to their role as toxic by-products of aerobic metabolism, ROS play a role in the control and regulation of biological processes such as growth, the cell cycle, programmed cell death, hormone signaling, biotic and abiotic stress reactions and development. ROS always arise in plants as a by-product of several metabolic processes that are located in different cell compartments, or as a result of the inevitable escape of electrons to oxygen from the electron transport activities of chloroplasts, mitochondria and plasma membranes. These reactive species are formed in chloroplasts, mitochondria, plasma membranes, peroxisomes, apoplasts, the endoplasmic reticulum and cell walls. The action of many non-enzymatic and enzymatic antioxidants present in tissues is required for efficient scavenging of ROS generated during various environmental stressors. The current review provides an in-depth look at the fate of ROS in plants, a beneficial role in managing stress and other irregularities. The production sites are also explained with their negative effects. In addition, the biochemical properties and sources of ROS generation, capture systems, the influence of ROS on cell biochemistry and the crosstalk of ROS with other signaling molecules/pathways are discussed.