Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping rainfall interception for assessing ecological restoration sustainability in China

Ecological restoration (ER) programs play an important role in local and global climate change and carbon management policy interventions. Water resource is a key criterion for assessing the sustainability of ERs. Herein, we explored the spatiotemporal patterns of rainfall interception (RI, an important component of ecosystem water budgets), and its drivers after ER implementation in China. Further, we assessed whether ERs are sustainable by analyzing the trends of RI and water supply. As expected, we found that ERs caused an increase in RI in China from 2001 to 2018 (0.64 mm yr−1, p < 0.01). Changes in the normalized difference vegetation index and leaf area index contributed to a higher change in RI compared with other drivers. The decrease in RI was mainly recorded in the Qinghai–Tibet Plateau in Southwest, northern North, and southern Central and Southern China. Conversely, an increasing trend of RI was recorded in the Loess Plateau in Northwest, Northeast, and East China. Moreover, ERs are not always unsustainable in China, especially in Northeast, East, Central and Southern, and high-latitude regions of northern North China. Even in the Loess Plateau, which was criticized by previous studies, the unsustainability occurred only in the semi-humid region. Future ERs should be prioritized in southern parts of Eastern, Central, and Southern China, and must be appropriately considered in the Northeast and high-latitude regions in North China. It should be alert to the pressures of ERs on water supply, and its demand remains vigilant in the Qinghai–Tibet Plateau and semihumid areas of the Loess Plateau. This study provides new ideas for accurately evaluating the impact of ERs on water security and the sustainability of ERs.
A New Multi-objective Approach for the Portfolio Selection Problem with Skewness

The main purpose of this paper is to propose a new approach to solve the multi-objective portfolio selection problem in the presence of skewness. The selection of efficient portfolios requires the optimization of different and conflicting criteria such as maximizing expected return, skewness and minimizing risk. Hence, the portfolio selection can be formulated as a tri-objective programming problem to solve the mean-variance-skewness efficient set. Rescaling on the unit variance space leads to a biobjective problem, but adds a nonlinear equality constraint to the model. Through a change in variables, we reformulate it as a lower dimensional bound constrained biobjective problem. The recent algorithm BIMADS for biobjective optimization is applied to generate an efficient set of portfolios on a test problem from the literature.
2003 A search for periodic modulations of the solar neutrino ﬂux in Super-Kamiokande-I The Super-Kamiokande Collaboration

A search for periodic modulations of the solar neutrino ﬂux was performed using the Super-Kamiokande-I data taken from May 31st, 1996 to July 15th, 2001. The detector’s capability of measuring the exact time of events, combined with a relatively high yield of solar neutrino events, allows a search for short-time variations in the observed ﬂux. We employed the Lomb test to look for periodic modulations of the observed solar neutrino ﬂux. The obtained periodogram is consistent with statistical ﬂuctuation and no signiﬁcant periodicity was found.
Lagrangean formulation of ion- and dust-ion-acoustic waves

Ion-acoustic modes propagating in unmagnetized dusty plasmas are studied by applying a generic collisionless fluid model. An Eulerian-to-Lagrangean variable transformation leads to a new system of evolution equations, which may be combined into a single (rather complex) equation for the mean ion density. The linear and weakly nonlinear oscillations regimes are studied and their modulational stability is investigated. This study extends known previous results on the Lagrangian description of electron- or ion-acoustic electrostatic plasma modes. The relevance with the description of dust-ion acoustic waves propagating in a dusty plasma is also discussed.
Accelerated least squares estimation for systems of ordinary differential equations

We study the problem of parameter estimation for a system of ordinary differential equations based on noisy observations on the solution of the system. A classical estimation approach to this problem is the least squares method. Owing to a highly nonlinear character of the least squares criterion function and the need to employ repetitive numerical integration of the system, the latter method becomes computationally intense for most realistic systems. We propose the accelerated (ACCEL) least squares method, which starts from a preliminary \sqrt{n}-consistent estimator of the parameter of interest and next through a Newton-Raphson type step turns it into an asymptotically equivalent estimator to the least squares estimator. Additional computational burden of this step is negligible. We demonstrate excellent practical performance of the ACCEL least squares approach via simulations and real data examples. The method enables the researcher to obtain both point and interval estimates.
PREVENTING CHRONIC DISEASE

Introduction Policy, systems, and environmental (PSE) change approaches frequently address healthy eating and active living (HEAL) priorities. However, the health effects of PSE HEAL initiatives are not well known because of their design complexity and short duration. Planning and evaluation frameworks can guide PSE activities to generate collective impact. We applied a systematic mapping review to the Individual plus PSE Conceptual Framework for Action (I+PSE) to describe characteristics, achievements, challenges, and evaluation strategies of PSE HEAL initiatives. Methods We identified peer-reviewed articles published from January 2009 through January 2021 by using CINAHL, Web of Science, MEDLINE, PsycINFO, and CAB Abstracts databases. Articles describing implementation and results of PSE HEAL initiatives were included. Activities were mapped against I+PSE components to identify gaps in evaluation efforts. Results Independent reviewers examined 437 titles and abstracts; 52 peerreviewed articles met all inclusion criteria. Twenty-four focused on healthy eating, 5 on active living, and 23 on HEAL. Descriptive analyses identified federal funding of initiatives (typically 1–3 years), multisector settings, and mixed-methods evaluation strategies as dominant characteristics. Only 11 articles reported on initiatives that used a formal planning and evaluation framework. Achievements focused on partnership development, individual behavior, environmental or policy changes, and provision of technical assistance. Challenges included lack of local coalition and community engagement in initiatives and evaluation activities and insufficient time and resources to accomplish objectives. The review team noted vague or absent descriptions of evaluation activities, resulting in questionable characterizations of processes and outcomes. Although formation of partnerships was the most commonly reported accomplishment, I+PSE mapping revealed a lack of engagement assessment and its contributions toward initiative impact. The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors’ affiliated institutions. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. www.cdc. gov/pcd/issues/2022/21_0466. htm • Centers for Disease Control and Prevention 1 Conclusion PSE HEAL initiatives reported successes in multiple areas but also challenges related to partnership engagement and community buyin. These 2 areas are essential for the success of PSE HEAL initiatives and need to be adequately evaluated so improvements can be made.
Food Science of Animal Resources

The liquid chromatography mass spectrometry (LC-MS)-based metabolomic and lipidomic methodology has great sensitivity and can describe the fingerprint of metabolites and lipids in pork and beef. This approach is commonly used to identify and characterize small molecules such as metabolites and lipids, in meat products with high accuracy. Since the metabolites and lipids can be used as markers for many properties of a food, they can provide further evidence of the foods authenticity claim. Chromatography coupled to mass spectrometry is used to separate lipids and metabolites from meat samples. The research data usually is compared to lipid and metabolite databases and evaluated using multivariate statistics. LC-MS instruments directly connected to the metabolite and lipid databases software can be used to assess the authenticity of meat products. LC-MS has good selectivity and sensitivity for metabolomic and lipidomic analysis. This review highlighted the combination of metabolomics and lipidomics can be used as a reference for analyzing authentication meat products.
Non-conformality of &ggr; i ?> -deformed 𝒩 = 4 SYM theory

We show that the γi-deformation, which was proposed as candidate gauge theory for a non-supersymmetric three-parameter deformation of the anti-de Sitter / conformal field theory correspondence, is not conformally invariant due to a running double-trace coupling—not even in the ’t Hooft limit. Moreover, this non-conformality cannot be cured when we extend the theory by adding at tree-level arbitrary multi-trace couplings that obey certain minimal consistency requirements. Our findings suggest a possible connection between this breakdown of conformal invariance and a puzzling divergence recently encountered in the integrability-based descriptions of two-loop finite-size corrections for the single-trace operator of two identical chiral fields. We propose a test to clarify this.
Social Determinants of Health in the Lives of Urban-Dwelling, Pregnant Puerto Rican Women and Families: Nursing Implications From a Secondary Narrative Analysis

Urban-dwelling childbearing Puerto Rican women and families on the U.S. mainland face a myriad of social determinants that affect pregnancy and overall health outcomes. Historically, Puerto Ricans have poorest pregnancy outcomes of all Hispanic women. Acknowledgment of the cyclic, structural barriers faced by this patient population is essential to providing wholistic care. Here, we discuss family nursing implications derived from narrative analysis of a parent study that investigated ecological systems affecting 21 pregnant Puerto Rican women residing in an impoverished and crime-ridden neighborhood in Philadelphia. Content analysis of interviews revealed interwoven social determinants of health embedded in participant narratives. Furthermore, we present case vignettes based on integration of participant interviews that encapsulate the everyday experiences of these women and their families and provide clinicians with guidance and strategies for interacting with and advocating for this population.
Contribution of Trp63CreERT2-labeled cells to alveolar regeneration is independent of tuft cells

Viral infection often causes severe damage to the lungs, leading to the appearance of ectopic basal cells (EBCs) and tuft cells in the lung parenchyma. Thus far, the roles of these ectopic epithelial cells in alveolar regeneration remain controversial. Here, we confirm that the ectopic tuft cells are originated from EBCs in mouse models and COVID-19 lungs. The differentiation of tuft cells from EBCs is promoted by Wnt inhibition while suppressed by Notch inhibition. Although progenitor functions have been suggested in other organs, pulmonary tuft cells don’t proliferate or give rise to other cell lineages. Consistent with previous reports, Trp63CreERT2 and KRT5-CreERT2-labeled ectopic EBCs do not exhibit alveolar regeneration potential. Intriguingly, when tamoxifen was administrated post-viral infection, Trp63CreERT2 but not KRT5-CreERT2 labels islands of alveolar epithelial cells that are negative for EBC biomarkers. Furthermore, germline deletion of Trpm5 significantly increases the contribution of Trp63CreERT2-labeled cells to the alveolar epithelium. Although Trpm5 is known to regulate tuft cell development, complete ablation of tuft cell production fails to improve alveolar regeneration in Pou2f3-/- mice, implying that Trpm5 promotes alveolar epithelial regeneration through a mechanism independent of tuft cells.
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark

Vision-based fire detection systems have been significantly improved by deep models; however, higher numbers of false alarms and a slow inference speed still hinder their practical applicability in real-world scenarios. For a balanced trade-off between computational cost and accuracy, we introduce dual fire attention network (DFAN) to achieve effective yet efficient fire detection. The first attention mechanism highlights the most important channels from the features of an existing backbone model, yielding significantly emphasized feature maps. Then, a modified spatial attention mechanism is employed to capture spatial details and enhance the discrimination potential of fire and non-fire objects. We further optimize the DFAN for real-world applications by discarding a significant number of extra parameters using a meta-heuristic approach, which yields around 50% higher FPS values. Finally, we contribute a medium-scale challenging fire classification dataset by considering extremely diverse, highly similar fire/non-fire images and imbalanced classes, among many other complexities. The proposed dataset advances the traditional fire detection datasets by considering multiple classes to answer the following question: what is on fire? We perform experiments on four widely used fire detection datasets, and the DFAN provides the best results compared to 21 state-of-the-art methods. Consequently, our research provides a baseline for fire detection over edge devices with higher accuracy and better FPS values, and the proposed dataset extension provides indoor fire classes and a greater number of outdoor fire classes; these contributions can be used in significant future research. Our codes and dataset will be publicly available at https://github.com/tanveer-hussain/DFAN.
Walking and running

The human body is a complicated machine whose movements involve many different joints, operated by a great many muscles. For that reason it is easy to get bogged down in detail when thinking about walking and running from a mathematical point of view. Any position of the human body (or of any other jointed mechanism) can be described by giving the angles of joints. The number of angles needed for an unambiguous description is the number of degrees of freedom of the mechanism. For example, the position of a hinge joint is described by just one angle: a hinge allows only one degree of freedom. The human knee is a hinge. The ankle, however, allows rotation about two axes – you can tilt your foot toes up or toes down, and you can also rock it sideways so that the sole faces inwards towards the other foot – so it gives two degrees of freedom. The hip is a ball and socket joint allowing rotation about any axis through the centre of the ball, but any position can be described by just three angles (measured, for example, in three planes at right angles to each other), so it allows three degrees of freedom. In total, there are six degrees of freedom in each leg, making twelve in all, and suggesting that we need twelve equations of motion to describe walking. If we took account of the flexibility of the foot and the movements of the arms, we would need more.
Development and Validation of a Mobile Application for Measuring Tibial Torsion

Background: Tibial torsion lacks a single and reliable method for its measurement. While physical examination, computed tomography (CT), and EOS imaging are used complementarily, three-dimensional (3D) CT is the most widely used method for intuitive documentation and visualization. However, concern regarding the associated radiation hazard limits its use in the evaluation of pediatric patients. Moreover, EOS machines are too expensive and too large to be placed in every clinic requiring the measurement of tibial torsion. Therefore, a new method for 3D reconstruction is needed. In the present study, we tested the validity and reliability of a novel reconstruction tool for the lower leg. Methods: A statistical shape model and Laplacian constraint were adopted for the development of a new reconstruction tool for measuring tibial torsion. Tibial torsion measurements based on a 3D reconstruction application and CT images for 36 patients were evaluated for intraobserver and interobserver reliability. Tibial torsion measurements for 75 patients were compared for validation. Results: A 3D reconstruction system for the lower leg was developed as a mobile application and was installed in a portable device for easy access in the clinical setting. In terms of interobserver reliability, the intraclass correlation coefficient among 3 clinicians was 0.896 (95% confidence interval [CI], 0.828 to 0.941). The correlation coefficient between tibial torsion measured with use of 3D CT and that measured with the mobile application was 0.865 (p < 0.001). Conclusions: The mobile application showed excellent reliability and validity for measuring tibial torsion. Concurrent utilization with mobile application for the femur allows visualization of the rotational profile of the leg without the need for CT or EOS. Level of Evidence: Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Exploring the Association of e-Cigarette and/or Cannabis Use with Heavy Episodic Drinking among Ontario Adults

Abstract Background: The use of electronic cigarettes and cannabis has significantly increased in recent years, which raises public health concerns. There are also concerns about the association of these substances with drinking behaviors. The main objective of the present study is to examine the association of e-cigarettes and/or cannabis use with heavy episodic drinking (HED) among Ontario adults. Methods: The sample consisted of 5,564 adults from the Monitor Survey in 2018 and 2019. Cannabis and e-cigarette use reflected any use of the substances in the past 12 months. HED was defined as consumption of four/five or more drinks on a single occasion at least monthly in the past 12 months. Odds ratios (OR) were estimated from logistic regression models accounting for complex survey design and sociodemographic factors. Results: Overall, the prevalence of HED was 17.5% in 2018 and 2019. Among participants who reported both e-cigarette and cannabis use, about one-half (50.4%) reported HED at least monthly. Adjusting for covariates, the odds of HED were 5.71 (95%CI, 3.92–8.30) times higher among those who reported both e-cigarette and cannabis use compared to those who used neither substance. Conclusions: The use of e-cigarettes and cannabis are significantly associated with heavy episodic drinking among adults, indicating that those who engage in the dual use of e-cigarette and cannabis may be an important group to target with intervention programs.
Memristor-Based Neural Network Circuit With Multimode Generalization and Differentiation on Pavlov Associative Memory

Most of the classical conditioning laws implemented by existing circuits are involved in learning and forgetting between only three neurons, and the problems between multiple neurons are not considered. In this article, a multimode generalization and differentiation circuit for the Pavlov associative memory is proposed based on memristors. The designed circuit is mainly composed of voltage control modules, synaptic neuron modules, and inhibition modules. The secondary differentiation is accomplished through the process of associative learning and forgetting among multiple neurons. The process of multiple generalization and differentiation is realized based on the nonvolatility and thresholding properties of memristors. The extinction inhibition and differentiation inhibition in forgetting is considered through the inhibition modules. The Pavlov associative memory neural network with multimodal generalization and differentiation may provide a reference for the further development of brain-like intelligence.
Two-step nationwide epidemiological survey of myasthenia gravis in Japan 2018

Objective To study the updated prevalence and clinical features of myasthenia gravis (MG) in Japan during 2017. Methods We sent survey sheets to the randomly selected medical departments (number = 7,545). First, we asked the number of MG patients who visited medical departments from January 1, 2017, to December 31, 2017. Then, we sent the second survey sheet to the medical departments that answered the first survey to obtain the clinical information of patients who received MG diagnosis between January 1, 2015, and December 31, 2017. Results The received answer to the first survey were 2,708 (recovery rate: 35.9%). After all, the prevalence of the 100,000 population was estimated as 23.1 (95%CI: 20.5–25.6). As a result of the second survey, we obtained 1,464 case records. After checking the duplications and lacking data, we utilized 1,195 data for further analysis. The median [interquartile range (IQR)] from the onset age of total patients was 59 (43–70) years old. The male-female ratio was 1: 1.15. The onset age [median (IQR)] for female patients was 58 (40–72) years old, and that for male patients was 60 (49–69) years old (Wilcoxon-Mann-Whitney test, p = 0.0299). We divided patients into four categories: 1) anti-acetylcholine receptor antibody (AChRAb) (+) thymoma (Tm) (-), 2) AChRAb(+)Tm(+), 3) anti-muscle-specific kinase antibody (MuSKAb) (+), and AChRAb(-)MuSKAb(-) (double negative; DN). The onset age [median (IQR)] of AChRAb(+)Tm(-) was 64 (48–73) years old, and AChRb(+)Tm(+) was 55 (45–66), MuSKAb(+) was 49 (36–64), DN was 47 (35–60) year old. The multivariate logistic regression analysis using sex, initial symptoms, repetitive nerve stimulation test (RNST), and edrophonium test revealed that sex, ocular symptoms, bulbar symptoms, and RNST were factors to distinguish each category. The myasthenia gravis activities of daily living profile at the severest state were significantly higher in MuSKAb(+). MuSKAb(+) frequently received prednisolone, tacrolimus plasmapheresis, and intravenous immunoglobulin; however, they received less acetylcholine esterase inhibitor. 99.2% of AChRAb(+)Tm(+) and 15.4% of AChRAb(+)Tm(-) received thymectomy. MuSKAb(+) did not receive thymectomy, and only 5.7% of DN received thymectomy. The prognosis was favorable in all categories. Conclusion Our result revealed that the prevalence of Japanese MG doubled from the previous study using the same survey method in 2006. We also found that the onset age shifted to the elderly, and the male-female ratio reached almost even. Classification in four categories; AChRAb(+)Tm(-), AChRAb(+)Tm(+), MuSKAb(+), and DN, well describe the specific clinical features of each category and differences in therapeutic approaches.