Miracle-dz/UniFAR-FTUs huggingface dataset:
Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

Nowadays, transfer learning and domain adaptation are widely used in prognostics and health management of rotating machinery, greatly broadening its applications in scenarios with multiple operating conditions. However, almost all existing prognostic methods employ a single-source domain adaptation (SDA), ignoring the domain-shift within the source domain, and fail to make full use of multi-source historical data. To overcome these drawbacks, a multisource domain adaptation network (MDAN) for regression tasks is proposed in this article. MDAN learns domain-invariant features and supervision from multiple sources and provides better generalization in the target domain than traditional SDA methods. Besides, a new MDAN-based framework is presented for remaining useful life prediction of bearings under multiple operating conditions. Specifically, we input the time-frequency representation of the vibration signals into MDAN to achieve end-to-end training and inference across operating conditions. Case studies on the run-to-failure datasets validate the effectiveness of proposed method, and the comparison shows that it outperforms the state-of-the-art methods.
Axonal Polyneuropathy in 2 Brothers With a Homozygous Missense Variant in the First Catalytic Domain of PCYT2

Background and Objectives To expand the phenotype and genotype associated with PCYT2-related disorder. Methods Exome sequencing data from a patient with molecularly undiagnosed complex spastic paraplegia and axonal motor and sensory polyneuropathy were analyzed. Clinical data and nerve conduction studies of the patient and his affected brother were collected, and their phenotype and genotype were compared with previously reported patients with PCYT2-related disorder. Results A novel homozygous missense variant in PCYT2 (NM_001184917.2) c.88T>G; p.(Cys30Gly) was identified. This variant is located in a highly conserved tyrosine kinase site and is predicted damaging by several variant annotation tools. Both patients reported here and the previously published patients share several phenotypic features, including short stature, spastic tetraparesis, cerebellar ataxia, epilepsy, and cognitive decline. Axonal polyneuropathy, diagnosed in both brothers, was not previously reported. Discussion This family with a novel PCYT2 variant expands the clinical spectrum of PCYT2-related disorder to include axonal motor and sensory polyneuropathy and the genetic spectrum to include the variant located in the first catalytic domain, whereas all previously reported variants are located in the second catalytic domain. Further research is required to disentangle the underlying pathophysiologic mechanisms, leading to the complex phenotype of PCYT2-related disorder.
A Reticulated Planar Transmitter Using a Three-Dimensional Rotating Magnetic Field for Free-Positioning Omnidirectional Wireless Power Transfer

This article proposes a free-positioning omnidirectional wireless power transfer (WPT) system with a reticulated planar transmitter, which enables multiple receivers to be powered simultaneously in arbitrary positions and orientations. The reticulated planar transmitter is equipped with four interleaved and overlapped meander coils, thus, a three-dimensional (3-D) rotating magnetic field is generated with the designed excitation current. Therefore, only a planar single-coil (such as a loop-type coil) is required to realize free-positioning omnidirectional WPT. According to the theoretical modeling of the magnetic field, the excitation current that can generate a 3-D rotating magnetic field is given. To obtain a uniform and strong magnetic field distribution, the transmitter grid width is optimized. Furthermore, an excitation current modulation strategy based on phase-shift control is presented to regulate the amplitude of the excitation current. The experimental results show that the output power is greater than 13.1 W no matter how the center of the receiver moves or rotates freely within 400 × 400 mm. When five receivers are powered simultaneously in different positions and orientations, 82.5 W total output power and 55.6% efficiency can be achieved. The experimental results demonstrate that free-positioning omnidirectional WPT can be realized with only planar single-coil receivers by using the proposed reticulated planar transmitter and its excitation current modulation strategy.
Heterogeneous Condition of Asthmatic Children Patients: A Narrative Review

Currently, asthma represents the most common chronic disorder in children, showing an increasingly consistent burden worldwide. Childhood asthma, similar to what happens in adults, is a diversified disease with a great variability of phenotypes, according to genetic predisposition of patients, age, severity of symptoms, grading of risk, and comorbidities, and cannot be considered a singular well-defined disorder, but rather a uniquely assorted disorder with variable presentations throughout childhood. Despite several developments occurring in recent years in pediatric asthma, above all, in the management of the disease, some essential areas, such as the improvement of pediatric asthma outcomes, remain a hot topic. Most treatments of the type 2 (T2) target phenotype of asthma, in which IL-4, IL-5, and IL-13 modulate the central signals of inflammatory reactions. Although, there may be an unresolved need to identify new biomarkers used as predictors to improve patient stratification using disease systems and to aid in the selection of treatments. Moreover, we are globally facing many dramatic challenges, including climate change and the SARS-CoV2 pandemic, which have a considerable impact on children and adolescent asthma. Preventive strategies, including allergen immunotherapy and microbiome evaluation, and targeted therapeutic strategies are strongly needed in this population. Finally, the impact of asthma on sleep disorders has been reviewed.
Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification

As a research hotspot in the field of natural language processing (NLP), sentiment analysis can be roughly divided into explicit sentiment analysis and implicit sentiment analysis. However, due to the lack of obvious emotion words in the implicit sentiment analysis task and because the sentiment polarity contained in implicit sentiment words is not easily accurately identified by existing text-processing methods, the implicit sentiment analysis task is one of the most difficult tasks in sentiment analysis. This paper proposes a new preprocessing method for implicit sentiment text classification; this method is named Text To Picture (TTP) in this paper. TTP highlights the sentiment differences between different sentiment polarities in Chinese implicit sentiment text with the help of deep learning by converting original text data into word frequency maps. The differences between sentiment polarities are used as sentiment clues to improve the performance of the Chinese implicit sentiment text classification task. It does this by transforming the original text data into a word frequency map in order to highlight the differences between the sentiment polarities expressed in the implicit sentiment text. We conducted experimental tests on two common datasets (SMP2019, EWECT), and the results show that the accuracy of our method is significantly improved compared with that of the competitor’s. On the SMP2019 dataset, the accuracy-improvement range was 4.55–7.06%. On the EWECT dataset, the accuracy was improved by 1.81–3.95%. In conclusion, the new preprocessing method for implicit sentiment text classification proposed in this paper can achieve better classification results.
Use of the Female Language Marker Feature by 宁静 Níng Jìng in Interview Program 《星月对话》 Xīngyuè Duìhuà Episode 10

Female speakers have special social characters as markers of personal identity when interacting in speech acts, namely, the features of female language markers whose characteristics are already attached to the identity of female speakers. They are identical to the speaker's character, namely, having a smooth and soft impression, having politeness values, adherence to binding patterns, and being more expressive concerning the speaker's inner feelings. Therefore, those features are inferior and weak to the certainty value. One of them can be seen in the speech used by 宁静 Níng Jìng in the interview program 《星月对话 》Xīngyuè Duìhuà episode 10. There were nine types of features of female language markers and five functions based on the context of the use of vocabulary; namely, elements in the form of lexical fences as markers of the start of speech acts, features in the form of interrogative speech as markers for obtaining response and approval, interrogative speech as a marker of uncertainty or doubt, elements in the form of formal speech as a sign of politeness, and segments in the form of expressive speech as a marker of expressing feelings.
Pathways between Climate, Fish, Fisheries, and Management: A Conceptual Integrated Ecosystem Management Approach

The abundance and distribution of marine fishes is influenced by environmental conditions, predator–prey relationships, multispecies interactions, and direct human impacts, such as fishing. The adaptive response of the system depends on its structure and the pathways that link environmental factors to the taxon in question. The “Star Diagram” is a socio-ecological model of marine ecosystems that depicts the general pathways between climate, fish, and fisheries, and their intersection with climate policy and resource management. We illustrate its use by identifying the key factors, pathways and drivers that influence walleye pollock, crab, and sockeye salmon, under a warming scenario on the eastern Bering Sea shelf. This approach predicts that all three species will see reduced populations under a long-term warming scenario. Going forward, the challenge to managers is to balance the magnitude of the effect of harvest and the adaptability of their management system, with the scale and degree of resilience and the behavioral, physiological, or evolutionary adaptation of the ecosystem and its constituents. The Star Diagram provides a novel conceptual construct that managers can use to visualize and integrate the various aspects of the system into a holistic, socio-ecological management framework.
Characterization and Valorization of the Agricultural Waste Obtained from Lavandula Steam Distillation for Its Reuse in the Food and Pharmaceutical Fields

The main focus of the current research was the characterization of the by-products from the steam distillation of Lavandula angustifolia Mill. (LA) and Lavandula x intermedia Emeric ex Loisel (LI) aerial parts, as they are important sources of bioactive compounds suitable for several applications in the food, cosmetic, and pharmaceutical industries. The oil-exhausted biomasses were extracted and the total polyphenol and flavonoid contents were, respectively, 19.22 ± 4.16 and 1.56 ± 0.21 mg/g for LA extract and 17.06 ± 3.31 and 1.41 ± 0.10 mg/g for LI extract. The qualitative analysis by liquid chromatography-electrospray tandem mass spectrometry (HPLC-ESI-MS) revealed that both the extracts were rich in phenolic acids and glycosylated flavonoids. The extracts exhibited radical scavenging, chelating, reducing activities, and inhibitory capacities on acetylcholinesterase and tyrosinase. The IC50 values against acetylcholinesterase and tyrosinase were, respectively, 5.35 ± 0.47 and 5.26 ± 0.02 mg/mL for LA, and 6.67 ± 0.12 and 6.56 ± 0.16 mg/mL for LI extracts. In conclusion, the oil-exhausted biomasses demonstrated to represent important sources of bioactive compounds, suitable for several applications in the food, cosmetic, and pharmaceutical industries.
Deforestation and Carbon Sequestration Research at Baima Snow Mountain Nature Reserve, Southwest China

The black snub-nosed monkey (Rhinopithecus bieti; also known as the Yunnan snub-nosed monkey) is an endangered animal mainly distributed in Baima Snow Mountain nature reserve, Southwest China. Given the poaching and habitat loss of Yunnan snub-nosed monkey, this study aims to investigate the current status of living environment of the Yunnan snub-nosed monkey from the perspective of deforestation and provide applicable solutions to maintain the local environmental sustainability. Based on GIS mapping, this study identifies three deforested areas in Baima Snow Mountain nature reserve’s core zone. This study further assesses the economic and environmental benefits of reforestation in terms of the carbon market policy in China that promotes the development of forestry carbon trading. Specifically, the QGIS-LTR software is utilized to estimate the carbon sequestration value of these three areas with the data of carbon storage (mostly in cold temperate coniferous forest) and the biomass values. The carbon sequestration potential and the corresponding values of reforestation in these three deforested areas are estimated.
Voxel-Based Localization and Mapping for Multirobot System in GPS-Denied Environments

Collaboration localization and mapping in GPS-denied environments is a challenging problem, due to the computing power and communication bandwidth constraints of onboard equipment. In this article, a voxel-based localization and mapping system is developed, which achieves real-time trajectory estimation for the multirobot system utilizing only onboard sensors, computing power, and communication module. The key idea of the voxel-based matching approach is to formulate the registration problem as a maximum a posteriori (MAP) problem and to simplify it to a nonlinear least-squares problem using Gauss approximation and principal component analysis (PCA). The voxel-based matching method significantly improves the computational efficiency and reduces the communication bandwidth of the localization and mapping system. The effectiveness of the proposed method is demonstrated through experiments in real-world environments for various scenarios.
The Study of Audience’s Response to the Fake News About Covid-19 That Posted by KOL on Twitter

In the current era of social media culture, almost everyone's social life is inseparable from media. Especially since the outbreak of COVID-19, the way most people communicate has shifted to online, and the release of information on social media has seen an explosion. However, the information spread on social media platforms is not all positive, and there is many fake news mixed in and continuously spread. Different types of publishers have different effects on their audiences, and their audiences react differently. This paper uses thematic analysis and selects the content of a fake news tweet published by a journalist, and studies the content of its popular comments to summarize the audience's response. The results turned out that the responses of its audience fall into three broad themes: unequivocal belief, decisive denial,
Agent-based CSCW system and communication implementation

This paper discusses the conceptions and characteristics of agent and MAS(MultiAgent System), and illuminates MAS is suitable for modeling CSCW.This paper proposes the modeling method of agentbased CSCW system and the formalization of agent and CSCW system,and explains how to utilize KQML as communication language in agentbased CSCW system.
Bioavailability, Efficacy, Safety, and Regulatory Status of Creatine and Related Compounds: A Critical Review

In 2011, we published a paper providing an overview about the bioavailability, efficacy, and regulatory status of creatine monohydrate (CrM), as well as other “novel forms” of creatine that were being marketed at the time. This paper concluded that no other purported form of creatine had been shown to be a more effective source of creatine than CrM, and that CrM was recognized by international regulatory authorities as safe for use in dietary supplements. Moreover, that most purported “forms” of creatine that were being marketed at the time were either less bioavailable, less effective, more expensive, and/or not sufficiently studied in terms of safety and/or efficacy. We also provided examples of several “forms” of creatine that were being marketed that were not bioavailable sources of creatine or less effective than CrM in comparative effectiveness trials. We had hoped that this paper would encourage supplement manufacturers to use CrM in dietary supplements given the overwhelming efficacy and safety profile. Alternatively, encourage them to conduct research to show their purported “form” of creatine was a bioavailable, effective, and safe source of creatine before making unsubstantiated claims of greater efficacy and/or safety than CrM. Unfortunately, unsupported misrepresentations about the effectiveness and safety of various “forms” of creatine have continued. The purpose of this critical review is to: (1) provide an overview of the physiochemical properties, bioavailability, and safety of CrM; (2) describe the data needed to substantiate claims that a “novel form” of creatine is a bioavailable, effective, and safe source of creatine; (3) examine whether other marketed sources of creatine are more effective sources of creatine than CrM; (4) provide an update about the regulatory status of CrM and other purported sources of creatine sold as dietary supplements; and (5) provide guidance regarding the type of research needed to validate that a purported “new form” of creatine is a bioavailable, effective and safe source of creatine for dietary supplements. Based on this analysis, we categorized forms of creatine that are being sold as dietary supplements as either having strong, some, or no evidence of bioavailability and safety. As will be seen, CrM continues to be the only source of creatine that has substantial evidence to support bioavailability, efficacy, and safety. Additionally, CrM is the source of creatine recommended explicitly by professional societies and organizations and approved for use in global markets as a dietary ingredient or food additive.
The Development of Real-Time Mobile Garbage Detection Using Deep Learning

Received November 24, 2021 Revised December 30, 2021 Accepted January 02, 2022 The problem of garbage in the world is a serious issue that must be solved. Good garbage management is a must for now and in the future. Good garbage management is accompanied by a system of classification and sorting of garbage types. This study aims to create a mobile-based application that can select the type of garbage and enter the garbage data into a database. The database used is a Google SpreadSheet that will accommodate data from the output issued by the garbage detection mobile application. The image data used in this study amounted to 10108 images and was divided into six different garbage classes. This study uses a deep learning platform called densenet121 with an accuracy rate of 99.6% to train the image data. DenseNet121 has been modified and added an optimization based on a genetic algorithm. The genetic algorithm applied in the optimization uses four generations. The model resulting from the training of the two approaches is converted into a model that mobile applications can access. The mobile application based on a deep learning model accommodates the detection data of the type of garbage, the level of detection accuracy, and the GPS location of the garbage. In the final experiment of the mobile application, the delay time in sending data was very fast, which was less than one second (0.86s).
High-Gain and Low-Loss Dual-Polarized Antenna Array With Reduced Sidelobe Level Based on Gap Waveguide at 28 GHz

In this letter, a 16×16-element dual-polarized antenna array with a reduced sidelobe level is proposed at 28 GHz for fifth-generation (5G) communication systems. The dual linear polarization operation is carried out through cross-shaped waveguide slots and multilayer feeding networks. Low-loss gap waveguide technology and Taylor distribution are applied in the feeding networks. A ridge unequal power divider with flexible power ratio and phase difference is devised and applied in the gap waveguide feeding network to reduce the complexity of unequal power structural design. A prototype of the proposed dual-polarized antenna array is manufactured by milling technology. Measured results show that the realized gains are higher than 28 dBi over the operating frequency band of 27.4–28.6 GHz. Moreover, the sidelobe level is lower than −18.5 dB for the y-direction polarization and −19.5 dB for the x-direction polarization.
Optimal Pricing and Quality Decisions in Supply Chains With Consumers’ Anticipated Regret and Online Celebrity Retailers

Shopping on a live-streaming e-commerce platform has become a popular way of consumption. In this article, we build models to study the decision-making of online celebrity retailers (OCRs), taking into consideration consumers’ anticipated regret behaviors. We explore the OCRs optimal pricing and quality decisions under the basic models and further examine the OCRs sales efforts in the extended model. We investigate the impact of consumers’ anticipated regret behaviors on the OCRs profit. After that, we examine when the supply chain with the OCR can achieve the win–win outcome. To assess the robustness of the results, we conduct extensive numerical studies of the basic and extended models. We derive a counterintuitive result that negative consumers’ anticipated regret does not necessarily hurt the OCRs profit and consumer surplus. In addition, a low consumers’ search cost may instead lead to higher profit for the OCR. If the channel construction cost of the live-streaming platform is low, the OCRs product quality and price will decline. The OCRs costs of handling returns and maintaining sales channels can help the supply chain achieve the win–win outcome for both the OCR and consumers.
A Comprehensive Study and Analysis of the Chaotic Chua Circuit

was studied by taking several different values for the constant α and fixing the other three variables β, c and d with the values 25.58, -0.7142857, and -1.142, respectively. The purpose of this paper is to know the values by which the system transforms from a steady state to a chaotic state under the initial conditions x, y, and z that equal -1.6, 0 and 1.6 respectively. It was found that when the value of α is equal to 0, the Chua system is in a steady state, and when the value of α is equal to 9.5 and the wave is sinusoidal, the system is in oscillation, and when α is equal 13.4 the system is in a Quasi-chaotic state, and finally the system turns to the chaotic state when the value of α equals 15.05.
Educational Equity and Educational Informatization New Thinking Based on the Background of “Epidemic”

In recent years, with the introduction of various policies and the gradual improvement of basic measures for educational informatization, educational informatization has a huge impact on educational fairness both positively and negatively. Affected by the COVID-19 pandemic, more than 90% of world’s learners have been affected as the regular learning approaches are not appropriate during this time [1]. Lots of major education platforms used Internet media to carry out online teaching and educational informatization has been forced to be realized in a large scope. Educational equity under this new background is also facing new opportunities and challenges. This study aims to analyze the inhibitory effects of online education on educational equity from the perspectives of technology, teachers, students and families. In addition, the author provides an actionable solution to further alleviate the inequity of education in remote areas and realize the equal distribution of educational resources. In conclusion, this study confirms that the solution to the problem of educational inequity needs to be solved jointly from the social, government and individual