Miracle-dz/UniFAR-FTUs huggingface dataset:
Data-Driven Predictive Maintenance Policy Based on Dynamic Probability Distribution Prediction of Remaining Useful Life

As the reliability, availability, maintainability, and safety of industrial equipment have become crucial in the context of intelligent manufacturing, there are increasing expectations and requirements for maintenance policies. Compared with traditional methods, data-driven Predictive Maintenance (PdM), a superior approach to equipment and system maintenance, has been paid considerable attention by scholars in this field due to its high applicability and accuracy with a highly reliable quantization basis provided by big data. However, current data-driven methods typically provide only point estimates of the state rather than quantification of uncertainty, impeding effective maintenance decision-making. In addition, few studies have conducted further research on maintenance decision-making based on state predictions to achieve the full functionality of PdM. A PdM policy is proposed in this work to obtain the continuous probability distribution of system states dynamically and make maintenance decisions. The policy utilizes the Long Short-Term Memory (LSTM) network and Kernel Density Estimation with a Single Globally-optimized Bandwidth (KDE-SGB) method to dynamic predicting of the continuous probability distribution of the Remaining Useful Life (RUL). A comprehensive optimization target is introduced to establish the maintenance decision-making approach acquiring recommended maintenance time. Finally, the proposed policy is validated through a bearing case study, indicating that it allows for obtaining the continuous probability distribution of RUL centralized over a range of ±10 sampling cycles. In comparison to the other two policies, it could reduce the maintenance costs by 24.49~70.02%, raise the availability by 0.46~1.90%, heighten the reliability by 0.00~27.50%, and promote more stable performance with various maintenance cost and duration. The policy has offered a new approach without priori hypotheses for RUL prediction and its uncertainty quantification and provided a reference for constructing a complete PdM policy integrating RUL prediction with maintenance decision-making.
OTFS Detection Based on Gaussian Mixture Distribution: A Generalized Message Passing Approach

The Orthogonal Time Frequency Space (OTFS) modulation has been identified as a promising modulation scheme for wireless communications with high mobility. As for data detection of OTFS symbols, most existing detectors rely on the sophisticated message passing (MP) algorithm and its variants. In particular, the classic sum-product (SP)-MP algorithm can achieve a good detection performance with high complexity, while the Gaussian approximation-based (GA)-MP detector reduces the complexity significantly at the cost of performance degradation. In order to achieve a more flexible detection framework, we propose to adopt the Gaussian mixture distribution (GMD) for representing messages on the factor graph. The proposed scheme can behave as either the classic SP-MP algorithm or the GA-MP algorithm by varying the number of adopted Gaussian components. The simulation results show the proposed scheme can strike a good tradeoff between the error performance and complexity.
A Globally Flexible Model for Crop Yields Under Weather Risk

The literature on climate change and crop yields recognizes the need to allow for highly non-linear marginal effects. This study combines these two areas of the literature by using Flexible Fourier Transforms (FFT’s) to ensure flexibility for both the time trend and the weather effects. This study also illustrates how FFT’s can be combined with quantile regression (QR) to provide both robustness to outliers and information on the scale effects of time and weather variables. For U.S. county level data on corn, soybeans, and winter wheat, we estimate the relationship between yield and temperature and precipitation using a traditional parametric expected-yield estimator, our quantile-FFT regression evaluated at the median, and our QR-FFT regression that incorporates information on the tails of the distribution. We find that quadratic terms are not sufficient for capturing nonlinearities in the relationship between yield and the explanatory variables.
AVALIAÇÃO DA RADIOATIVIDADE NATURAL EM ÁGUAS POTÁVEIS, DE SUPERFÍCIE E SUBTERRÂNEAS DA REGIÃO DE CAETITÉ, BA

Brazil has the seventh greatest geological uranium reserve in the world with approximately 310 thousand tons. The Lagoa Real Uranium Province, in the region of Caetité and Lagoa Real, situated in South Center Bahia, is considered the most important monomineralic province in Brazil. Urban population who lives in the uranium district in the cities of Caetité, Lagoa Real and Livramento de Nossa Senhora uses drinking water originated from public supply. In the rural area, characterized by frequent draughts, residents receive water from digged and drilled wells and from small dams and reservoirs, as well, which are supplied by the rains. This work determined the levels of total alpha and beta radioactivity and the uranium concentrations in several kinds of water consumed by urban and rural population from the Lagoa Real Uranium Province. Total α e β activities were determined with a low-level gas flow proportional detector. The uranium concentrations were determined with an inductive coupled plasma-mass spectrometer (ICP-MS). The results obtained were confronted with the latest World Health Organization’s recommendations from 2011, the ordinance number 2914 of December 12 2011 from the Health Ministry and CONAMA’s resolutions. Natural radiation levels varied from 0,0041 ± 0,0004 Bq.L to 0,80 ± 0,04 Bq.L for total alpha activity and from 0,045 ± 0,003 to 3,00 ± 0,2 Bq.L for total beta activity. Having the WHO and the HM as parameter, just two underground water samples, one located in the city of Lagoa Real and the other in the city of Caetité presented total alpha concentration above the value of 0,5 Bq.L described in its recommendations, 0,80 ± 0,040 Bq.L and 0,57 ± 0,03 Bq.L respectively. For total beta three samples presented radioactivity levels above the 1 Bq.L limit recommended by the WHO and established by the Health Ministry; 3,00 0,2 Bq.L; 1,63 0,13 Bq.L and 1,19 0,07 Bq.L. , all of them situated in the Lagoa Real town. Two samples of underground water from Caetité presented uranium concentrations above the value of 15 μg. L determined by CONAMA, 20,3 ± 0,3 μg. L and 17,1± 0,3 μg. L. In Lagoa Real one sample presented uranium levels six times over the limit established by the Environment National Council 89,5 ± 1,5 μg. L. In 2004 the World Health Organization established in its recommendations the 15 μg. L limit as the maximum uranium concentration in drinking water. In 2011 the WHO increased that limit to 30 μg. L. Taking into account the current WHO recommendations only the concentration of one water sample presented uranium levels above the recommended, 89,5 ± 1,5 μg. L in Lagoa Real.
Assessing the water use of short vegetation and forests: Development of the Hydrological Land Use Change (HYLUC) model

This paper describes the theoretical background and recent developments to the present version of the Hydrological Land Use Change (HYLUC) model which has been used to investigate the impacts of land use change, particularly changes relating to forest cover, on water resources in many countries of the world. The model makes use of the “limits” concept and the Penman equation to ensure parsimony in terms both of data requirements (daily rainfall, daily potential transpiration, and land cover data) and in terms of the parameters required to take account of the different evaporative responses of different vegetation types. The model is applicable both for research and land and water resource management purposes (where input data is generally very limited).
Global Environmental Risk

Despite international initiatives such as the Earth Summit in 1992 and ongoing efforts to implement the Kyoto Protocol, human activities continue to register a destructive toll on the planetary environment. At root, research on global environmental risk seeks new pathways for reversing unsustainable trends, curtailing ongoing destructive activities, and creating a life-sustaining planet. This book takes stock of the distinctive challenges posed by global environmental risks, the capacity of knowledge systems to identify and characterize such risks, and the competence of human society to manage the unprecedented complexity. Particular attention trains on engaging, in ways conducive to enhancing social learning and adaptation, the large uncertainties inherent in these risks.
Labour migration and social development in contemporary China

Foreword Frank Laczko 1. Introduction: Labour Migration and Social Development in China Rachel Murphy 2. Migration and Poverty Alleviation in China Dewen Wang and Fang Cai 3. Migrant Remittances in China: the Distribution of Economic Benefits and Social Costs Rachel Murphy 4. Hukou Reform and Social Security for Migrant Workers in China Ran Tao 5. Migrant Children and Migrant Schooling: Policies, Problems and Possibilities Terry Woronov 6. Reproductive and Sexual Health Issues Among Migrants in China Caroline Hoy 7. Housing and Migrants in Cities Ya Ping Wang and Yanglin Wang 8. The Making of a Global Dormitory Labour Regime: Labour Protection and Labour Organizing of Migrant Women in South China Pun Ngai 9. NGOs, Civil Society and Migrants in China Jude Howell
DisMASTD: An Efficient Distributed Multi-Aspect Streaming Tensor Decomposition

Tensor decomposition is a fundamental multidimensional data analysis tool for many data-driven applications, such as social computing, computer vision, and bioinformatics, to name but a few. However, the rapidly increasing streaming data nowadays introduces new challenges to traditional static tensor decomposition. It requires an efficient distributed dynamic tensor decomposition without re-computing the whole tensor from scratch. In this paper, we propose DisMASTD, an efficient distributed multi-aspect streaming tensor decomposition. First, we prove the optimal tensor partitioning problem is NP-hard. Second, we present two heuristic tensor partitioning approaches to ensure the load balancing. Third, we develop a distributed multi-aspect streaming tensor decomposition computation method, which avoids repetitive computation and reduces network communication by maintaining and reusing the intermediate results. Last but not least, we perform extensive experiments with both real and synthetic datasets to demonstrate the efficiency and scalability of DisMASTD.
Capital social en la perspectiva de la teoría de recursos y capacidades: un análisis bibliométrico

En este estudio se realiza una primera aproximación a la perspectiva integrada del capital social bajo la Teoría de recursos y capacidades. Para ello se seleccionó la base de datos Scopus de la cual se extrajo la información necesaria para realizar un análisis bibliométrico de citación, palabras clave y autoría con el apoyo de las herramientas Excel y VOSviewer. Así mismo, se aplicó una revisión de contenido a los 46 documentos que arrojó la búsqueda. Los resultados confirman que el capital social es visto como un recurso firme que contribuye a mejorar el desempeño y la formación de ventajas competitivas sostenibles, además de estar estrechamente vinculado al uso del capital humano y desarrollo de capacidades como la innovación, el aprendizaje, la adaptación, así como a la gestión del conocimiento. Palabras clave: Teoría de recursos y capacidades (TRC), capital social, ventaja competitiva, innovación Códigos JEL: M10, M53, O12, O31 Recibido: 28/02/2019. Aceptado: 10/02/2020. Publicado: 27/04/2020
Frost‐ring chronologies as dendroclimatic proxies of boreal environments

Frost rings are formed in tree stems when growing‐season frosts affect immature wood cells, producing collapsed cells within annual tree rings. Open boreal forests are most susceptible to record growing‐season frost because they lack the greenhouse effect commonly observed in closed forests. Here we present a novel method to construct regional frost‐ring chronologies in lichen‐black spruce woodlands of the boreal forest zone. Because the ability of trees to form frost rings depends on several factors (including bark thickness and ring width), we used two models to produce a Frost Composite Index based on a frost susceptibility window of cambial age <30 years. The frost‐ring chronology showed alternating periods of high and low frost activity that were highly consistent within and among sites. Reconstruction of growing‐season frost activity may be used as dendroclimatic proxies of climate variability and may give insights into future risks of frost damage in a warming climate.
Radiotherapy dose de-escalation in patients with high grade non-Hodgkin lymphoma in a real-world clinical practice

Purpose The standard treatment of non-Hodgkin lymphoma (NHL) comprises combined modality treatment, radiotherapy (RT), and chemotherapy with rituximab which has significantly improved both disease-free survival (DFS) and overall survival (OS). However, there is no uniformity in radiation dose usage in these patients. In this retrospective study, we compared lower radiation dose with higher in patients with aggressive NHL. Materials and Methods From 2007 to 2017, treatment records of all high-grade NHL or diffuse large B-cell lymphoma and non-central nervous system NHL were included. We compared response rates, OS and DFS of patients who received ≤30 Gy RT to those with >30 Gy. Univariate and multivariate analyses were done to determine factors affecting prognosis, i.e., age, sex, stage, International Prognostic Index (IPI), adding rituximab, and radiation dose. Results A total of 184 NHL patients treated with combined modality or radiation alone having complete follow-up details were analyzed. At median follow-up of 66.8 months, 5-year OS was 72.8% in high-dose group versus 69.9% in low-dose group (p = 0.772) and 5-year DFS 64.7% versus 64.1% (p = 0.871). Patients having early-stage disease receiving low dose and those with advanced disease treated with >30 Gy had better OS and DFS though not statistically significant. Adding rituximab was associated with significantly better OS and DFS irrespective of radiation dose delivered. High IPI score and omitting rituximab were the only factors that significantly worsened both OS and DFS. Acute radiation toxicities were comparable in both groups (p = 0.82). Among late toxicities, no patient developed a second malignancy and 5% died due to cardiovascular complications (p = 0.595) though only two patients (1.1%) had received thoracic radiation. Conclusion The two groups had comparable response rates, acute toxicities, DFS and OS. This study suggests that RT dose reduction may be possible in high-grade NHL without compromising the DFS and OS.
The relationship between visual function and physical performance in the Study of Muscle, Mobility and Aging (SOMMA)

Purpose The relationship of types of visual function to different aspects of physical function, especially strength and coordination, has been understudied, but delineation of these relationships could suggest potentially modifiable targets prior to the onset of disability. Methods Cross-sectional analysis of visual function (self-reported eyesight and eye disease, visual acuity, contrast sensitivity) and physical function tests in 877 older adults (mean age 76.36±5.01 years, 59.2% women, and 13.3% Black race). Separate linear regression models were constructed for short physical performance battery (SPPB), expanded SPPB (eSPPB), their components (gait speed, chair stand, balance, narrow walk), stair climb, four-square step, leg extension peak power and strength, and grip strength. Results In adjusted models, worse acuity, worse contrast sensitivity, and self-reported poor vision were significantly associated with worse performance on the eSPPB and four-square step test. Worse contrast sensitivity, but not acuity, was significantly associated with shorter balance times, slower chair stand pace, longer stair climb time, and worse SPPB score. Associations of worse acuity and contrast sensitivity with weaker leg extension power, leg strength, and grip strength were attenuated by covariate adjustment. Self-reported macular degeneration, but not cataract or glaucoma, was associated with worse performance on SPPB, eSPPB, balance, stair climb, and four-square step tests in adjusted models. Worse contrast sensitivity and macular degeneration remained associated with worse SPPB and balance after controlling for visual acuity and self-reported eyesight. Conclusions Poor contrast sensitivity was more strongly associated with worse physical performance than acuity, especially for complex tasks that dynamically challenge coordination and balance. Future studies should examine if older adults with contrast sensitivity impairment would benefit from targeted intervention to decrease their risk of disability.
Contributions géostatistiques à la biologie halieutique

Le travail, base sur les donnees de plusieurs campagnes scientifiques de peche, est divise en deux parties independantes. La premiere partie s'inscrit dans la recherche d'une methodologie de suivi des stocks a l'aide d'indicateurs bases sur les seules campagnes scientifiques. Pour cela, on a selectionne des indices decrivant la distribution spatiale d'une population halieutique: centre de gravite, inertie, anisotropie, microstructure, diverses mesures d'aires, etc. Ces indices ont ete choisis en particulier de facon a ne pas dependre d'une delimitation arbitraire du champ, la contribution d'un echantillon a valeur nulle de densite de poissons valant zero. Appliques a la population de merlu europeen du golfe de Gascogne, ces indices permettent de decrire la dynamique spatiale des differents groupes d'âge, ainsi que leur variabilite interannuelle. Par ailleurs, de tels indices spatiaux se revelent etre des indicateurs de la dynamique de la population, ainsi qu'en temoignent des correlations significatives avec des parametres demographiques, observees sur une variete de stocks europeens. De facon a assurer un meilleur suivi de l'etat d'un stock, indices spatiaux et indices biologiques ont enfin ete combines par la methode des MAF (Min-max Autocorrelation Factors), qui vise a reduire le bruit en extrayant les composantes les plus continues dans le temps. Cette technique a ete appliquee sur la morue de mer du Nord et l'anchois du golfe de Gascogne. La seconde partie vise a evaluer, dans l'estimation d'abondances a partir de campagnes acoustiques, la part d'incertitude provenant de l'echantillonnage spatial. L'estimation de l'abondance provenant du signal acoustique enregistre le long de transects, ainsi que de facteurs biologiques mesures en des stations de chalutage, il est necessaire de combiner les incertitudes des deux sources. On a recours pour cela a des simulations geostatistiques conditionnelles de modeles multivaries specifiques (a base de simulations gaussiennes transformees et d'un echantillonneur de Gibbs pour le traitement des nombreuses valeurs nulles de l'acoustique). La methode a ete appliquee au hareng autour des iles Shetland et a l'anchois dans le golfe de Gascogne.
Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022

Abstract. Global products of remote sensing Normalized Difference Vegetation Index (NDVI) are critical to assessing the vegetation dynamic and its impacts and feedbacks on climate change from local to global scales. The previous versions of the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI product derived from the Advanced Very High Resolution Radiometer (AVHRR) provide global biweekly NDVI data starting from the 1980s, being a reliable long-term NDVI time series that has been widely applied in Earth and environmental sciences. However, the GIMMS NDVI products have several limitations (e.g., orbital drift and sensor degradation) and cannot provide continuous data for the future. In this study, we presented a machine learning model that employed massive high-quality global Landsat NDVI samples and a data consolidation method to generate a new version of the GIMMS NDVI product, i.e., PKU GIMMS NDVI (1982–2022), based on AVHRR and Moderate-Resolution Imaging Spectroradiometer (MODIS) data. A total of 3.6 million Landsat NDVI samples that were well spread across the globe were extracted for vegetation biomes in all seasons. The PKU GIMMS NDVI exhibits higher accuracy than its predecessor (GIMMS NDVI3g) in terms of R2 (0.97 over 0.94), root mean squared error (RMSE: 0.05 over 0.09), mean absolute error (MAE: 0.03 over 0.07), and mean absolute percentage error (MAPE: 9 % over 20 %). Notably, PKU GIMMS NDVI effectively eliminates the evident orbital drift and sensor degradation effects in tropical areas. The consolidated PKU GIMMS NDVI has a high consistency with MODIS NDVI in terms of pixel value (R2 = 0.956, RMSE = 0.048, MAE = 0.034, and MAPE = 6.0 %) and global vegetation trend (0.9×10-3 yr−1). The PKU GIMMS NDVI product can potentially provide a more solid data basis for global change studies. The theoretical framework that employs Landsat data samples can facilitate the generation of remote sensing products for other land surface parameters. The PKU GIMMS NDVI product is open access and available under a Creative Commons Attribution 4.0 License at https://doi.org/10.5281/zenodo.8253971 (Li et al., 2023).
Instabilities of black strings and branes

We review recent progress on the instabilities of black strings and branes both for pure Einstein gravity as well as supergravity theories which are relevant for string theory. We focus mainly on Gregory–Laflamme instabilities. In the first part of the review, we provide a detailed discussion of the classical gravitational instability of the neutral uniform black string in higher-dimensional gravity. The uniform black string is part of a larger phase diagram of Kaluza–Klein black holes which will be discussed thoroughly. This phase diagram exhibits many interesting features including new phases, non-uniqueness and horizon-topology changing transitions. In the second part, we turn to charged black branes in supergravity and show how the Gregory–Laflamme instability of the neutral black string implies via a boost/U-duality map similar instabilities for non- and near-extremal smeared branes in string theory. We also comment on instabilities of D-brane bound states. The connection between classical and thermodynamic stability, known as the correlated stability conjecture, is also reviewed and illustrated with examples. Finally, we examine the holographic implications of the Gregory–Laflamme instability for a number of non-gravitational theories including Yang–Mills theories and little string theory.