Miracle-dz/UniFAR-FTUs huggingface dataset:
Intestinal GPDH-1 regulates high glucose diet induced lifespan extension in aged worms

A high glucose diet (HGD) is associated with many metabolic diseases including type 2 diabetes, and cardiovascular diseases. Additionally, a HGD increases the oxidative stress resistance of young animals but shortens their lifespan. To investigate the role of HGD feeding on the aging of aged animals, we tested for oxidative stress resistance and changes in lifespan using C. elegans. We showed that a HGD extends the lifespan of aged worms that are dependent on oxidative stress resistance. Furthermore, we measured the lifespan of oxidative stress responding genes of HGD-fed worms. We found that gpdh-1 and col-92 are highly expressed in HGD and paraquat (PQ) treated worms. Further experiments indicated that intestinal gpdh-1 is essential for the HGD induced lifespan extension of aged worms. Our studies provide new insights into understanding the correlation between glucose metabolism, oxidative stress resistance, and aging.
The role of digital transformation in addressing health inequalities in coastal communities: barriers and enablers

Healthcare systems worldwide are striving for the “quadruple aim” of better population health and well-being, improved experience of care, healthcare team well-being (including that of carers) and lower system costs. By shifting the balance of care from reactive to preventive by facilitating the integration of data between patients and clinicians to support prevention, early diagnosis and care at home, many technological solutions exist to support this ambition. Yet few have been mainstreamed in the NHS. This is particularly the case in English coastal areas which, despite having a substantially higher burden of physical and mental health conditions and poorer health outcomes, also experience inequalities with respect to digital maturity. In this paper, we suggest ways in which digital health technologies (DHTs) can support a greater shift towards prevention; discuss barriers to digital transformation in coastal communities; and highlight ways in which central, regional and local bodes can enable transformation. Given a real risk that variations in digital maturity may be exacerbating coastal health inequalities, we call on health and care policy leaders and service managers to understands the potential benefits of a digital future and the risks of failing to address the digital divide.
Vertical motion of ground water in bed rock induced by earth tide and its influence on a repository for burnt nuclear fuel : a theoretical calculation

Earth tide induced by the Moon and the Sun makes the volume of pores or the apertures of fractures of the bed rock vary, which in turn makes the ground water move. The flow equation of ground water, complete with the tide effect, and its solution, shows that the diffusive propagation of pore pressure is decisive for the response of the perturbation of gravity. Moreover the solution shows that diffusive flow dominates in the Fennoscandian Precambrian rock. The analysis shows that a constitutive coefficient relating the varying perturbation gravity and porosity of bed rock can be determined by field measurements of the level of water in boreholes. Water in a cavity in the bed rock is exposed to an oscillatory interaction with the surrounding pore water. If the cavity is a repository for nuclear waste, this interaction deserves attention. The analysis shows that the magnitude of the oscillatory motion of water between a repository for nuclear waste and its. surrounding groundwater is much less than the vertical motion of the phreatic surface.
MyoDex : G ENERALIZABLE R EPRESENTATIONS FOR D EXTEROUS P HYSIOLOGICAL M ANIPULATION

The complexity of human dexterity builds on the coordinated actuation of a large number of muscles. Still, much is to be understood about how the control of such overactuated system for hand manipulation behaviors emerge and quickly and flexibly adapts to new behaviours. In this work we aim at learning generalizable representations for dexterous manipulation behaviors with a physiologically realistic hand model: MyoHand. In contrast to prior works demonstrating isolated postural and force control, here we demonstrate musculoskeletal agents (MyoDex) exhibiting contact-rich dynamic dexterous manipulation behaviors in simulation. Furthermore, to demonstrate generalization, we show that a single MyoDex agent can be trained to solve up-to 14 different contact-rich tasks. Aligned with human development, simultaneous learning of multiple tasks imparts physiological coordinated muscle contractions i.e., muscle synergies, that are not only shared amongst those in-domain tasks but are also effective to a large series of new outof-domain tasks. By leveraging these pre-trained manipulation synergies, we show generalization to 38 additional previously unsolved tasks. While physiological behaviors with large muscle groups (such as legged-locomotion, armreaching, etc) have been demonstrated before, to the best of our knowledge nimble behaviors of this complexity with smaller muscle groups and generalizable representations for the control of the overactuated human hand are being demonstrated for the first time. Project Webpage: https://sites.google. com/view/myodex Musculoskeletal, muscle synergies, Machine Learning, human dexterity
Ensemble Feature Selection Framework for Paddy Yield Prediction in Cauvery Basin using Machine Learning Classifiers

Abstract Machine learning technique involves a significant amount of time and the model performance reduces in multi-dimensional datasets because of redundant features. Feature selection is a significant step in machine learning and involves the selection of a subset of relevant data feature from larger data feature, which further enhances model performance by simplification. Crop yield prediction is a significant application of machine learning, and feature selection plays a crucial role in it. To predict paddy yield accurately, weather, soil, and crop attributes are essential factors. Therefore, feature selection techniques are employed to identify relevant and non-redundant attributes from a larger dataset, which simplifies the prediction model. In this study, an ensemble feature selection method is proposed that selects an optimized subset of attributes by combining various attribute subsets based on mutual information between attributes and between attributes and the class. The proposed ensemble approach is validated using five classification techniques, including K-nearest neighbor, Random Forest, Support Vector Machine, Naive Bayes, and Bagging. Several evaluation metrics such as Accuracy, Error rate, Kappa, Precision, Recall, Specificity, and F1 score are used to assess the performance of the ensemble approach and compare it with other feature selection techniques. The experimental results indicate that the proposed ensemble approach with the Random Forest classifier outperforms other classifiers, with Accuracy and Error rate values of 0.9491 and 0.0509, respectively.
Optimasi micro frontend website untuk meningkatkan load times: teknik, tantangan, dan best practice

Dalam beberapa tahun terakhir, terjadi peningkatan popularitas dari arsitektur micro frontend dikarenakan mulai diimplementasikan oleh perusahaan besar seperti IKEA, Starbucks, dan Amazon. Karakteristiknya yang menyerupai microservice membuat arsitektur ini mulai banyak diterapkan untuk meningkatkan developer experience. Namun, arsitektur ini memiliki beberapa masalah, salah satunya adalah performa page load time yang rendah. Tujuan dari dilakukannya penelitian ini adalah untuk menentukan bagaimana best practice dalam mengoptimasi performa page load time dari aplikasi micro frontend. Penelitian dilakukan dengan mengimplementasikan teknik optimasi seperti code splitting, lazy loading, tree shaking, minification, dan utility module kepada setiap micro frontend yang dimiliki oleh suatu website, kemudian dilakukan pengujian sebanyak 200 kali yang didapatkan menggunakan formula Lemeshow di local dan server environment menggunakan browser Google Chrome dengan metrik fully loaded, yaitu ukuran waktu yang dibutuhkan suatu website untuk memuat seluruh resources yang digunakan oleh website tersebut. Penelitian dilakukan pada aplikasi Enterprise Resources Planning (ERP) yang terdiri dari lima micro frontend dengan framework React, Vue, dan Angular. Hasil eksperimen yang dilakukan menunjukkan bahwa mengimplementasikan setiap teknik optimasi pada seluruh micro frontend dapat meningkatkan performa page load time aplikasi sebesar 31,79% pada local dan 47,5% pada server environment.
Loggers and Degradation in the Asia-Pacific: Corporations and Environmental Management

Part I. Introduction and Background: 1. Introduction 2. Forest degradation in the Asia-Pacific Part II. Context: 3. Scientific forestry and environmental failures 4. Environmental reformers and state capacity in the Asia-Pacific 5. The 1997 Asian financial crisis and forestry reforms Part III. Corporations, Profits, and Uncertainty: 6. Capitalism and corporate structures 7. The nature of profits 8. High uncertainty Part IV. Conclusion: 9. Fading into history or reimagining commercial forests? Glossary.
Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis

The success of compact development depends in part on accurately gauging its public demand and understanding residents’ preferences towards it. Drawing upon a stated-preference survey in the Wasatch Front region in Utah, this paper estimates preferences for compact, walkable and transit-friendly neighbourhoods through the application of a discrete choice experiment. Results derived from a latent class analysis reveal significant heterogeneity in residential location preferences. Overall, strong preferences for compact development are more likely to occur among families with fewer school-age children, low-income and renter-occupied households, and those who appreciate social heterogeneity and have less desire for privacy. These tastes are also associated with personal preferences for walking and biking and supportive opinions toward environmental protection and urban growth boundary policies. By comparing respondents’ preferences to their actual residential and travel choices in two contrasting subregions, we further address the complex relationships between environment, preferences, residential locations and travel.
Localized Speed Prediction with the use of Spatial Simultaneous Autoregressive Models

This paper examines how to employ spatial regression modelling as a direct demand modelling approach to provide localized speed estimates in a large scale network. In particular, four different spatial simultaneous autoregressive (SAR) models are estimated and compared to an ordinary linear regression in order to highlight and evaluate their capability of explaining transport related phenomena and resolving issues that arise from the underlying spatial dependence. A particular focus is given on the identification, the construction, and the selection of the spatial weighting matrices. The authors conclude that the spatial autocorrelation (SAC) model outperforms the other SAR models, resolving spatial dependence issues, and thus is the proposed one for speed prediction purposes.
ALGEBRAIC COMBINATORICS

Knutson and Miller (2005) established a connection between the anti-diagonal Gröb-ner degenerations of matrix Schubert varieties and the pre-existing combinatorics of pipe dreams. They used this correspondence to give a geometrically-natural explanation for the appearance of the combinatorially-defined Schubert polynomials as representatives of Schubert classes. Recently, Hamaker, Pechenik, and Weigandt (2022) proposed a similar connection be-tween diagonal degenerations of matrix Schubert varieties and bumpless pipe dreams, newer combinatorial objects introduced by Lam, Lee, and Shimozono (2021). Hamaker, Pechenik, and Weigandt described new generating sets of the defining ideals of matrix Schubert varieties and conjectured a characterization of permutations for which these generating sets form diagonal Gröbner bases. They proved special cases of this conjecture and described diagonal degenerations of matrix Schubert varieties in terms of bumpless pipe dreams in these cases. The purpose of this paper is to prove the conjecture in full generality. The proof uses a connection between liaison and geometric vertex decomposition established in earlier work with Rajchgot (2021).
Chidamide and Oxaliplatin Synergistically Inhibit Colorectal Cancer Growth by Regulating the RPS27A-MDM2-P53 Axis

Purpose The present study explored the anti-tumor effects of chidamide plus oxaliplatin on colorectal cancer (CRC) and examined its underlying mechanism. Material and Methods First, the Combination Index (CI) of chidamide and oxaliplatin was evaluated via CCK-8 assay. Second, the effects of chidamide and oxaliplatin monotherapy and the combined treatment on cell proliferation, invasion, migration, and apoptosis were detected. Third, whole-transcriptome RNA sequencing (RNA-seq) was performed to seek the potential targeted gene by which chidamide plus oxaliplatin exerted anti-tumor effects. Fourth, the validation of the targeted gene and the signal pathway it regulated were performed. Finally, the anti-tumor effect of chidamide plus oxaliplatin on mice xenograft was examined. Results Chidamide and oxaliplatin acted synergistically to inhibit CRC growth in vitro and in vivo (CI<1). Besides, compared with oxaliplatin monotherapy, chidamide could significantly enhance oxaliplatin-induced inhibition in cell proliferation, invasion, and migration, and promotion in HCT-116 and RKO cell apoptosis (P<0.05). The RNA-seq displayed that, compared to oxaliplatin monotherapy, RPS27A mRNA was evidently decreased in HCT-116 cells treated with chidamide plus oxaliplatin (P<0.001). Then, we found RPS27A was highly expressed in CRC tissues and CRC cell lines (P<0.001). Silence of RPS27A attenuated proliferation and induced apoptosis in HCT-116 and RKO cells via downregulation of MDM2 expression and upregulation of P53. Next, RPS27A overexpression could partially reverse chidamide plus oxaliplatin induced growth inhibition and apoptosis in HCT-116 and RKO cells (P<0.01). RPS27A overexpression could promote the upregulation of MDM2 and downregulation of P53 after the combined treatment of chidamide with oxaliplatin. Conclusion Chidamide and oxaliplatin acted synergistically to suppress CRC growth by the inhibition of the RPS27A-MDM2-p53 axis.
Analyzing Injury in Canadian Youth Ice Hockey through a Mixed Method Observational Design: Moving Beyond the Mechanisms of Injury to the Socio-Cultural Complexities of Implementing Injury Prevention Strategies

Ice hockey is a sport known for its speed and skill. However, its intensely physical nature is associated with the potential risk of injury, which has become a major public controversy in Canada (Cusimano, Sharma, Lawrence, et al., 2013; Emery et al., 2010). Epidemiological research has adequately documented the frequency and severity of injury (King & LeBlanc, 2006; Yard & Comstock, 2006). Yet, because of methodological limitations and the lack of systematic and mandatory injury prevention strategies implemented nationwide, injuries remain high (Cusimano, Nastis, & Zuccaro, 2013; Emery et al, 2010). An alternative methodology, combined with broadening injury definitions can provide a more detailed assessment of the risks of, and circumstances, around injury. A methodology, based primarily on observational techniques, was utilized to examine injury in body checking hockey when it is first introduced to youth players. Injury was defined as ‘any physical trauma that has occurred as a result of participation in an organized competition’ including four categories of injury severity. In a comparison of Ontario Peewee (ages 11-12) with Quebec Bantam (ages 13-14) boys hockey, no significant differences were found in overall injury (χ2: 0.22; p:0.64), however, there were significant differences in frequency of body checking related injury; 76% versus 59% (χ2:4.76; p:0.03). The odds of being injured due to body checking are 2.158 times higher in Peewee (βex 2.158; 95%CI: 1.07-4.34; p:0.03) indicating no increased risk of injury when body checking is introduced later while delaying introduction reduces the frequency of body checking related injury. Ongoing public debate in Canada concerning safety in youth hockey is understood through the theoretical lens of discourse (Foucault, 1972, 1990). The dominant discourse in Canada around hockey is based in a traditional, physically dominant model, where intense physical contact is not only inevitable but desirable. The reverse discourse prioritizes the safety of participants over the potential of lessening the intense physicality of the Canadian style of play. These competing discourses create tension and ambivalence amongst safety advocates and conservative hockey practitioners and enthusiasts. The emotionality of hockey stakeholders often overwhelms logic regarding safety decisions, ultimately impacting progressive injury prevention initiatives.
Epidemiological Surveillance and Mutational Pattern Analysis of Foot-and-Mouth Disease Outbreaks in Bangladesh during 2012–2021

Foot-and-mouth disease (FMD) in cloven-hoofed animals is considered an economically devastating disease in endemic countries like Bangladesh, where the livestock sector contributes to a greater portion of the nation’s economy. The causative agent of the disease, foot-and-mouth disease virus (FMDV), equipped with higher mutational frequency challenges the efficacy of the existing vaccine and control measures. This study, including 32 districts and 71 outbreaks to reveal epidemiological patterns and mutational trends of FMDV over the past 10 years (2012–2021), reported a 54.7% prevalence of FMD, with the majority of outbreaks occurring during the rainy season. Different risk factors such as age, gender, farming system, and vaccination status demonstrated a significant association with FMD cases which was confirmed by the χ2 test ( p < 0.05 ). VP1 sequence analyses reported the predominance of serotype O (85%) over serotype A (11%) and serotype Asia 1 (4%). Bangladesh has foreseen the emergence of several novel FMDV strains during this decade. Novel sublineages, Ind-2001BD1 (Ind-2001e) and Ind-2001BD2, were reported under serotype O, the G-IX lineage of serotype Asia 1 emerged in 2018, and most recently in 2021, a new genotype named MYMBD21 under the lineage SA-2018 was detected for the first time in Bangladesh. Until now, Ind-2001e (Ind-2001BD1) sublineage under serotype O became the predominant sublineage in Bangladesh. From the mutational trend analysis, highly variable sites were observed at positions 138 and 140 within the G-H loop for serotype O. For serotype A and Asia 1, 45th and 44th residues within the B-C loop showed the highest amino acid variations, respectively. A changing mutational pattern among the 2019–2021 FMDV O and A isolates was also observed. The findings of the study would be crucial to understand the FMD situation and designing necessary preventive steps according to the progressive control pathway for FMD control in Bangladesh.
Research on fine-grained classification algorithm for remote sensing image of forest and grassland

The monitoring of grassland resources is an important part of grassland ecological monitoring and management, aiming to understand the basic resources of grassland and construct a "one-map" of grassland resource management, so as to facilitate the comprehensive evaluation of the current status and characteristics of grassland resources and provide strong data support for subsequent work such as scientific environmental protection, restoration, utilization and management. Therefore, grassland resource monitoring must be regarded as a fundamental task. This paper focuses on the problem of forest-grass classification in remote sensing images, and proposes a deep learning algorithm be called CBAM + DeepLab V3+ for accurate classification of vegetation, combined with the method of fine-grained image classification, which improves its semantic segmentation effect in remote sensing image, increasing the mIOU from 62.80% to 63.25%, and is able to distinguish forest and grassland more accurately than traditional DeepLab V3+.
Recent progress in hole-transporting materials and inkjet-printing QLEDs

Quantum dot light-emitting diodes (QLEDs) have attracted a great deal of interests due to their unique advantages such as tunable spectrum, high color saturation, compatibility with low-cost inkjet-printing (IJP) technology and potential for use in large-area full-color pixelated display. To date, the efficiency and lifetime of red, green, and blue QLEDs have been significantly improved, in which hole-transporting materials (HTMs) play the key role in determining the device performance. In this review, we highlight to summarize the diverse types of HTMs in QLEDs, including small-organic materials, polymers, crosslinkable materials and inorganic p-type semiconductors, and their properties such as charge carrier mobility, thermal stability, and structural configuration are also reviewed. The significant effects of these properties on device performances are discussed, which would help to understand device physics and improve their performances and reliability of QLEDs. In addition, the development of IJP for QLEDs fabrication and the influence factors of IJP on quantum dot film-forming property are also reviewed, in an effort to provide guidance to continue the advancement of QLED displays.
CVAR: Distributed and Extensible Cross-Region Vehicle Authentication With Reputation for VANETs

This study proposes a distributed and extensible cross-region vehicle authentication scheme with the reputation for improving the security and efficiency of cross-region vehicle authentication. The existing authentication schemes demonstrate the following drawbacks: 1) Each vehicle is preloaded with the same system private key, which may be leaked so that the entire system would be destroyed; 2) Other schemes rely on trusted authority to aid in selecting some cluster head nodes; 3) The existing cross-region authentication schemes are not flexible and scalable since they depend on the infrastructure fixed on the roadside. With the proposed scheme, each vehicle stores a long-term private key that is different from those of other vehicles, thereby avoiding a system crash when destroying a vehicle. When the cross-region vehicle enters a new region, it can verify the reputation value of the surrounding vehicles to select the edge computing vehicle. The formal security proof shows that the proposed scheme has adequate security under the real-or-random model. The performance evaluation of our scheme with several related schemes reveals that it generates relatively low computation and communication overhead, is more robust, and achieves minimum packet loss ratio and delay.
Ethnocultural perspectives on disaster and trauma : foundations, issues, and applications

Background and Foundations. - Essential Concepts and Foundations. - Promoting Disaster Recovery in Ethnic-Minority Individuals and Communities. - Ethnocultural and Racial Group Considerations. - Meeting the Physical, Psychological, and Social Needs of African Americans Following a Disaster. - Essential Information for Disaster Management and Trauma Specialists Working with American Indians. - Arab Americans: Understanding Their Challenges, Needs, and Struggles. - Asian Indians: Cultural Considerations for Disaster Workers. - Caribbean Blacks: (Haitiains, Jamaicans, Virgin Islanders, Eastern Caribbean) Responses to Disasters in Cultural Context. - Chinese Americans: Guidelines for Disaster Mental Health Workers. - The Kanaka Maoli:Native Hawaiians and heir Testimony of Trauma and Resilience. - Mexicans, Mexican Americans, Caribbean, and Other Latin Americans. - Working with Vietnamese Americans in Disasters. - Culture, Trauma, and the Treatment of Post-Traumatic Syndromes: A Global Perspective.