Miracle-dz/UniFAR-FTUs huggingface dataset:
Urban functional zone classification based on self-supervised learning: A case study in Beijing, China

Urban functional zones (UFZs) are the fundamental units for urban management and operation. The advance in earth observation and deep learning technology provides chances for automatically and intelligently classifying UFZs via remote sensing images. However, current methods based on deep learning require numerous high-quality annotations to train a well-performed model, which is time-consuming. Thus, how to train a reliable model using a few annotated data is a problem in UFZ classification. Self-supervised learning (SSL) can optimize models using numerous unannotated data. In this paper, we introduce SSL into UFZ classification to use the instance discrimination pretext task for guiding a model to learn useful features from over 50,000 unannotated remote sensing images and fine tune the model using 700 to 7,000 annotated data. The validation experiment in Beijing, China reveals that 1) using a few annotated data, SSL can achieve a kappa coefficient and an overall accuracy 2.1–11.8% and 2.0–10.0% higher than that of supervised learning (SL), and 2) can also gain results comparable to that got by the SL paradigm using two times annotated data for training. The less the data used for finetuning the more obvious the advantage of SSL to SL. Besides, the comparison experiment between the model pretrained on the research region and that pretrained on the benchmark reveals that the objects with displacement and incompleteness are more difficult for models to classify accurately.
Extended reality for mental health: Current trends and future challenges

Virtual and augmented reality have been used to diagnose and treat several mental health disorders for decades. Technological advances in these fields have facilitated the availability of commercial solutions for end customers and practitioners. However, there are still some barriers and limitations that prevent these technologies from being widely used by professionals on a daily basis. In addition, the COVID-19 pandemic has exposed a variety of new scenarios in which these technologies could play an essential role, like providing remote treatment. Disorders that traditionally had received less attention are also getting in the spotlight, such as depression or obsessive-compulsive disorder. Improvements in equipment and hardware, like Mixed Reality Head Mounted Displays, could help open new opportunities in the mental health field. Extended reality (XR) is an umbrella term meant to comprise Virtual reality (VR), mixed reality (MR), and augmented reality (AR). While XR applications are eminently visual, other senses are being explored in literature around multisensory interactions, such as auditory, olfactory, or haptic feedback. Applying such stimuli within XR experiences around mental disorders is still under-explored and could greatly enrich the therapeutic experience. This manuscript reviews recent research regarding the use of XR for mental health scenarios, highlighting trends, and potential applications as well as areas for improvement. It also discusses future challenges and research areas in upcoming topics such as the use of wearables, multisensory, and multimodal interaction. The main goal of this paper is to unpack how these technologies could be applied to XR scenarios for mental health to exploit their full potential and follow the path of other health technologies by promoting personalized medicine.
Shifting to virtual breastfeeding counseling for low-income women in the US during COVID-19: A partner-engaged multimethod evaluation of program adaptations

Background The Breastfeeding Heritage and Pride program (BHP) provides evidence-based breastfeeding peer counseling to low-income women. Due to the COVID-19 pandemic, BHP shifted from delivering in-person and virtual services to providing only virtual services. Program adaptations can impact implementation success, which could influence program effectiveness. We documented program adaptations and explored their impacts on implementation outcomes, guided by the Model for Adaptation Design and Impact. Methods Through a community-clinical-academic partnership, we conducted in-depth interviews with 12 program implementers and peer counselors and conducted a rapid qualitative analysis. To efficiently capture information on adaptations over time, we collected and analyzed information from program meetings and extracted data from a program report. We then triangulated data from these multiple sources. Results Peer counselors received training on virtual service delivery and increased supportive supervision. They recruited women via phone instead of in hospitals, which was viewed as feasible. In-person counseling visits at hospitals and clients' homes were replaced with phone and video calls. Examples of changes to the content delivered included breastfeeding education in the context of the pandemic such as the latest COVID-related infant feeding guidance, provision of face masks, and more assistance with social and economic challenges. Although peer counselors increasingly adopted video calls as a substitute for in-person visits, they emphasized that in-person visits were better for relationship building, helping with breastfeeding problems like latching, and identifying barriers to breastfeeding in the home environment like limited familial support. While adaptations were reactive in that they were made in response to the unanticipated COVID-19 pandemic, most were made with clear goals and reasons such as to ensure the safety of peer counselors and clients while maintaining service delivery. Most adaptations were made through a systematic process based on program implementers' expertise and best practices for peer counseling and were largely but not fully consistent with BHP's core functions. Discussion BHP was able to shift to virtual service delivery for continued provision of breastfeeding counseling during the pandemic. Overall, virtual services worked well but were less optimal for several aspects of counseling. Evaluations of program effectiveness of virtual services are still needed.
Probiotic assessment and antioxidant characterization of Lactobacillus plantarum GXL94 isolated from fermented chili

Oxidative stress is caused by an imbalance between prooxidants and antioxidants, which is the cause of various chronic human diseases. Lactic acid bacteria (LAB) have been considered as an effective antioxidant to alleviate oxidative stress in the host. To obtain bacterium resources with good antioxidant properties, in the present study, 113 LAB strains were isolated from 24 spontaneously fermented chili samples and screened by tolerance to hydrogen peroxide (H2O2). Among them, Lactobacillus plantarum GXL94 showed the best antioxidant characteristics and the in vitro antioxidant activities of this strain was evaluated extensively. The results showed that L. plantarum GXL94 can tolerate hydrogen peroxide up to 22 mM, and it could normally grow in MRS with 5 mM H2O2. Its fermentate (fermented supernatant, intact cell and cell-free extract) also had strong reducing capacities and various free radical scavenging capacities. Meanwhile, eight antioxidant-related genes were found to up-regulate with varying degrees under H2O2 challenge. Furthermore, we evaluated the probiotic properties by using in vitro assessment. It was showed that GXL94 could maintain a high survival rate at pH 2.5% or 2% bile salt or 8.0% NaCl, live through simulated gastrointestinal tract (GIT) to colonizing the GIT of host, and also show higher abilities of auto-aggregation and hydrophobicity. Additionally, the usual antibiotic susceptible profile and non-hemolytic activity indicated the safety of the strain. In conclusion, this study demonstrated that L. plantarum GXL94 could be a potential probiotic candidate for producing functional foods with antioxidant properties.
Editorial: Solutions to high-quality development: Theories and practices in ecological aspects

High-quality development (HQD) first appeared in the report of the 19th National Congress of the Communist Party of China in 2017. The report stated that China’s economy had shifted from a stage of high growth to a stage of HQD. It initially referred to the development of the economy. As scholars and the government continue to enrich its connotation, the current meaning of high-quality development includes six main aspects: 1) people-centered, 2) stable macroeconomic growth, 3) fostering competitive enterprises, 4) innovation-driven, 5) marketization, legalization and internationalization, and 6) green development with ecological priority. With the introduction of the Sustainable Development Goals (SDGs) by the United Nations, the concept of sustainable development has become well known around the world (United Nations, 2015). Although HQD and sustainable development share certain similarities, they do have some distinct differences. Sustainable development focuses on addressing the environmental, economic and social aspects of the development process, whereas high-quality development puts more emphasis on development itself, showing a greater ambition for environmental improvement, economic growth and social progress. Therefore, HQD can be described as an initiative focusing on improving the quality and efficiency of development and enhancing human well-being on the basis of sustainable development (Liu et al., 2022). Smart growth is also a concept similar to HQD, however, it emphasizes more on the improvement of land use efficiency in a city or community for environmental protection, economic development, human well-being, etc. (US Environmental Protection Agency, 2022; Smart Growth Online, 2022). HQD is a new concept to guide China’s economic and social development, and corresponding OPEN ACCESS
Editorial: Rapid detection of fungi, microbial, and viral pathogens based on emerging biosensing technology

Department of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan, Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan, School of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan, Department of Biomedical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan, Laboratory of Nano-Photonics and Biosensors, Institute of Electro-Optical Engineering, National Taiwan Normal University, Taipei, Taiwan, Department of Mechanical Engineering, University of Louisville, Louisville, KY, United States, Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States
Three-dimensional structure of clumpy outflow from supercritical accretion flow onto black holes

We perform global three-dimensional (3D) radiation-hydrodynamic (RHD) simulations of out- flow from supercritical accretion flow around a 10 Msun black hole. We only solve the outflow part, starting from the axisymmetric 2D simulation data in a nearly steady state but with small perturbations in a sinusoidal form being added in the azimuthal direction. The mass accretion rate onto the black hole is ~10^2 L_E/c^2 in the underlying 2D simulation data and the outflow rate is ~10 L_E/c^2 (with LE and c being the Eddington luminosity and speed of light, respectively). We first confirm the emergence of clumpy outflow, which was discovered by the 2D RHD simulations, above the photosphere located at a few hundreds of Schwarzschild radii (r_S) from the central black hole. As prominent 3D features we find that the clumps have the shape of a torn sheet, rather than a cut string, and that they are rotating around the central black hole with a sub-Keplerian velocity at a distance of ~10^3 r_S from the center. The typical clump size is ~30 r_S or less in the radial direction, and is more elongated in the angular directions, ~hundreds of r_S at most. The sheet separation ranges from 50 to 150 r_S. We expect stochastic time variations when clumps pass across the line of the sight of a distant observer. Variation timescales are estimated to be several seconds for a black hole with mass of ten to several tens of Msun, in rough agreement with the observations of some ultra-luminous X-ray sources.
Antibiotic resistant bacteria: A bibliometric review of literature

Antibiotic-resistant bacteria (ARB) are a serious threat to the health of people and the ecological environment. With this problem becoming more and more serious, more countries made research on the ARB, and the research number has been sharply increased particularly over the past decade. Therefore, it is quite necessary to globally retrace relevant researches on the ARB published from 2010 to 2020. This will help researchers to understand the current research situation, research trends and research hotspots in this field. This paper uses bibliometrics to examine publications in the field of ARB from 2010 to 2020 that were retrieved from the Web of Science (WOS). Our study performed a statistical analysis of the countries, institutions, journals, authors, research areas, author keywords, Essential Science Indicators (ESI) highly cited papers, and ESI hotspots papers to provide an overview of the ARB field as well as research trends, research hotspots, and future research directions in the field. The results showed that the number of related studies is increasing year by year; the USA is most published in the field of ARB; China is the most active in this field in the recent years; the Chinese Acad Sci published the most articles; Sci. Total Environ. published the greatest number of articles; CM Manaia has the most contributions; Environmental Sciences and Ecology is the most popular research area; and “antibiotic resistance,” “antibiotics,” and “antibiotic resistance genes” were the most frequently occurring author keywords. A citation analysis showed that aquatic environment-related antibiotic resistance is a key research area in this field, while antimicrobial nanomaterial-related research is a recent popular topic.
A manufacturing system with general stationary failure process: stability and IPA of hedging control policies

This paper concerns a new methodology for the adaptive optimization of piecewise deterministic non-Markovian systems via a simple example of interest in manufacturing. This methodology takes into account the fact that piecewise deterministic systems are rarely Markovian and that classical control theory based on dynamic programming of Markovian systems cannot provide quantitative answers in most realistic situations. The example considered is that of a single-machine/single-part production system, from the point of view of the control theory by Kimemia and Gershwin (1983). We obtain stochastic gradient estimates via the perturbation analysis of Ho and Cao (1991) by the "regenerative" method of Konstantopoulos and Zazanis (1992), in view of stochastic optimization. Its mathematical justification requires a careful study of the "regenerative" structure of the process. In particular, we give the necessary and sufficient conditions of stability of this system via the method of Loynes (1962).
Ovarian resection in anti-N-methyl-D-aspartate receptor encephalitis: A comparison of surgical approaches

Background For patients with anti-N-methyl-D-aspartate receptor encephalitis (NMDARE) and ovarian teratoma, “conservative” surgical approaches (complete or partial unilateral oophorectomy or bilateral partial oophorectomies) are associated with clinical improvement. “Aggressive” ovarian resections (complete bilateral oophorectomy or “blind” ovarian resections without pre-operative evidence of teratoma) are also reported, although the evidence supporting these approaches is unclear. Objective To compare the one-year functional outcomes of patients with NMDARE who underwent conservative vs. aggressive ovarian resections. Methods Patients with NMDARE undergoing ovarian resection between January 1st, 2012 and December 31st, 2021 were retrospectively identified from three North American tertiary care centers. Primary outcome was a modified Rankin Scale score of 0–2 one year after ovarian resection. Fisher exact and Wilcoxon rank sum tests were used to compare demographic features, disease characteristics, and functional outcomes between the two surgical groups. A fixed-effects meta-analysis of studies reporting functional outcomes based on surgical approach was also performed. Results Twenty-three patients were included. Eight underwent aggressive surgical management. There was a non-significant trend toward an association between aggressive surgical management and younger age-at-onset, higher baseline disease severity, and longer delays to treatment. There was no difference between “aggressive” (3/8, 38%) and “conservative” (11/15, 73%) management groups in achieving the primary outcome (OR95% = <0.1–1.9; p = 0.18). Findings were similar when considering data from 52 patients in two published studies (RR = 0.74; CI95% = 0.48–1.13; p = 0.16). Conclusions Aggressive ovarian resection was not associated with improved outcomes in patients with NMDARE in this series. Group differences may have contributed, recognizing that patients who underwent aggressive resection tended to be sicker, with procedures performed later in the disease course. Based on available evidence, we advocate for function-sparing resection in patients with imaging-confirmed/suspected teratoma, and repeated multi-modal imaging in at-risk patients with NMDARE refractory to conventional treatment.
Integrated physiological, metabolomic, and proteome analysis of Alpinia officinarum Hance essential oil inhibits the growth of Fusarium oxysporum of Panax notoginseng

Fusarium oxysporum is the main pathogen of Panax notoginseng root rot, and chemical fungicides remain the primary measures to control the disease. Plant essential oil (EO) is a volatile plant secondary metabolic product that does not produce any residue to replace chemical pesticide. To comprehensively understand the antifungal mechanism of Alpinia officinarum Hance EO, the physiological indicators, proteome and metabolome were analyzed using F. oxysporum spores and hyphae treated with different EO concentrations. The cell membrane was damaged after both low and high concentrations of EO treatment, along with leakage of the cell contents. To resist the destruction of membrane structure, fungi can increase the function of steroid biosynthesis and expression of these catalytic enzymes, including squalene monooxygenase (SQLE), sterol 14alpha-demethylase (CYP51, CYP61A), delta14-sterol reductase (TM7SF2, ERG4), methylsterol monooxygenase (MESO1), and sterol 24-C-methyltransferase (SMT1). Furthermore, the tricarboxylic acid cycle (TCA) was influenced by inhibiting the expression of glutamate synthase (GLT1), 4-aminobutyrate aminotransferase (ABAT), and succinate-semialdehyde dehydrogenase (gabD); increasing malate and gamma-aminobutyric acid (GABA); and decreasing citrate content. The spore germination rate and mycelia growth were decreased because the expression of cohesin complex subunit SA-1/2 (IRR1) and cohesion complex subunit (YCS4, BRN1, YCG1) were inhibited. Particularly, under high EO concentrations, cyclin-dependent kinase (CDC28) and DNA replication licensing factor (MCM) were further inhibited to disrupt the cell cycle and meiosis, thus affecting cell division. The results of this study will enrich the understanding of the antifungal mechanism of EOs and provide an important basis to develop new plant-derived fungicides.
The development of cortical processing of speech differs between children with cochlear implants and normal hearing and changes with parental singing

Objective The aim of the present study was to investigate speech processing development in children with normal hearing (NH) and cochlear implants (CI) groups using a multifeature event-related potential (ERP) paradigm. Singing is associated to enhanced attention and speech perception. Therefore, it’s connection to ERPs was investigated in the CI group. Methods The paradigm included five change types in a pseudoword: two easy- (duration, gap) and three difficult-to-detect (vowel, pitch, intensity) with CIs. The positive mismatch responses (pMMR), mismatch negativity (MMN), P3a and late differentiating negativity (LDN) responses of preschoolers (below 6 years 9 months) and schoolchildren (above 6 years 9 months) with NH or CIs at two time points (T1, T2) were investigated with Linear Mixed Modeling (LMM). For the CI group, the association of singing at home and ERP development was modeled with LMM. Results Overall, responses elicited by the easy- and difficult to detect changes differed between the CI and NH groups. Compared to the NH group, the CI group had smaller MMNs to vowel duration changes and gaps, larger P3a responses to gaps, and larger pMMRs and smaller LDNs to vowel identity changes. Preschoolers had smaller P3a responses and larger LDNs to gaps, and larger pMMRs to vowel identity changes than schoolchildren. In addition, the pMMRs to gaps increased from T1 to T2 in preschoolers. More parental singing in the CI group was associated with increasing pMMR and less parental singing with decreasing P3a amplitudes from T1 to T2. Conclusion The multifeature paradigm is suitable for assessing cortical speech processing development in children. In children with CIs, cortical discrimination is often reflected in pMMR and P3a responses, and in MMN and LDN responses in children with NH. Moreover, the cortical speech discrimination of children with CIs is develops late, and over time and age, their speech sound change processing changes as does the processing of children with NH. Importantly, multisensory activities such as parental singing can lead to improvement in the discrimination and attention shifting toward speech changes in children with CIs. These novel results should be taken into account in future research and rehabilitation.
Mouse adaptation of H6 avian influenza viruses and their molecular characteristics

H6 avian influenza viruses (AIVs) not only continue to circulate in both domestic poultry and wild waterfowl, but also have occasionally caused spillovers infections in pigs and humans, posing a potential threat to public health. However, the molecular mechanism of H6 AIV adaptation to mammals remains largely unknown. In this study, two mouse-adapted (MA) H6 AIV strains, named as MA E-Teal/417 and MA GWF-Goose/740, were generated through blind passages in BALB/c mice. The two MA H6 strains replicated more efficiently and showed higher virulence than the corresponding wild type (WT) H6 strains in mice. Genome sequencing revealed that MA E-Teal/417 and MA GWF-Goose/740 carried six amino acid mutations (PB2-T224A/E627K, HA-G124R, NA-F167L/Y356H and M1-M92R), and four amino acid mutations (PB1-K577E, PA-T97I/D514E and HA-T276K), respectively, when compared to the corresponding WT virus. Receptor binding assay showed MA E-Teal/417 had stronger binding activity to α-2,3 SA than WT E-Teal/417. Moreover, the polymerase activity analysis found the RNP polymerase activity of both MA H6 viruses was significantly higher than that of the corresponding WT virus in 293T cells. All these demonstrate that H6 AIV can acquire limit amino acid substitutions to adapt to mammals and increase virulence, highlighting the significance of monitoring such mutations of H6 AIV in the field for alarming the potential of its cross-transmission and pathogenesis in mammals.