Miracle-dz/UniFAR-FTUs huggingface dataset:
: A Run Time Compiler and Optimizer for Software Data Planes

—State-of-the-art approaches to design, develop and optimize software packet-processing programs are based on static compilation: the compiler’s input is a description of the forwarding plane semantics and the output is a binary that can accommodate any control plane configuration or input traffic. In this paper, we demonstrate that tracking control plane actions and packet-level traffic dynamics at run time opens up new opportunities for code specialization. We present Morpheus, a system working alongside static compilers that continuously optimizes the targeted networking code. We introduce a number of new techniques, from static code analysis to adaptive code instrumentation, and we implement a toolbox of domain specific optimizations that are not restricted to a specific data plane framework or programming language. We apply Morpheus to several systems, from eBPF and DPDK programs including Katran, Meta’s production-grade load balancer to container orchestration solutions such a Kubernets. We compare Morpheus to state-of-the-art optimization frameworks and show that it can bring up to 2x throughput improvement, while halving the 99th percentile latency.
The reaction of formic acid with Raney  copper

The interaction of formic acid with Raney  Cu proves to be complex. Rather than the expected generation of a monolayer of bidentate formate, we find the formation of a Cu(II) compound. This process occurs by direct reaction of copper and formic acid; in contrast, previous methods are by reaction in aqueous solution. This is a rare example of formic acid acting as an oxidant rather than, as more commonly found, a reductant. The combination of diffraction, spectroscopic and computational methods has allowed this unexpected process to be characterised.
TuberculosisMagnetization Transfer MR Imaging in CNS

BACKGROUND AND PURPOSE: CNS tuberculosis may simulate other granulomas and meningitis on MR images. The purpose of this study was to improve the characterization of lesions in CNS tuberculosis and to assess the disease load using magnetization transfer (MT) imaging. METHODS: A total of 107 tuberculomas in seven patients with or without meningitis and 15 patients with tuberculosis meningitis alone were studied. Fifteen patients with cysticercus granulomas with T2 hypointensity, ﬁve patients each with viral and pyogenic meningitis, and two patients with cryptococcal meningitis were also studied. The MT ratios were calculated from tuberculomas, cysticercus granulomas, and thickened meninges in tuberculous, viral, pyogenic, and cryptococcal meningitis and were compared within each pathologic group and with the MT ratio of different regions of normal brain parenchyma. Detectability of lesions on T1-weighted MT spin-echo (SE) images was compared with that on conventional SE and postcon-trast MT-SE images. RESULTS: Thickened meninges appeared hyperintense relative to surrounding brain parenchyma in the basal and supratentorial cisterns on precontrast MT-SE images in all 18 patients with tuberculosis meningitis. These meninges were not seen or were barely visible on conventional SE images, and enhanced on postcontrast MT-SE images. The MT ratio from the thick-ened meninges of tuberculous meningitis was signiﬁcantly lower than that from the meninges in cryptococcal and pyogenic disease and signiﬁcantly higher than the meninges in viral meningoencephalitis. The MT ratio from T2 visible and invisible tuberculomas appeared to be signiﬁcantly lower than that of normal white matter. The MT ratio of T2 hypointense cysti-cercus granuloma
An urban module coupled with the Variable Infiltration Capacity 1 model to improve hydrothermal simulations in urban systems

16 Global urban expansion has altered surface aerodynamics and hydrothermal dynamics, aggravating 17 environmental challenges such as urban heat/dry islands. To identify such environmental responses, 18 various physical models, including urban canyon models (UCMs) and land surface models (LSMs), 19 have been developed to represent surface hydrothermal processes. However, UCMs often treat a city as 20 a unified entity and overlook subcity heterogeneity. LSMs are generally designed for natural land covers 21 and lack the capability to capture urban characteristics. To address these limitations, the aim of this study 22 is to couple an urban module with a sophisticated LSM, i.e., the Variable Infiltration Capacity (VIC) 23 model. This coupled model, i.e., the VIC-urban model, is characterized by its ability to coordinate certain 24 critical urban features, including the urban geometry, radiative interactions, and human impacts. 25 Adopting Beijing as an evaluation site, the VIC-urban model shows higher performance than the original 26 version, with excellent accuracy in simulating sensible heat, latent heat, runoff, and land surface 27 temperature (LST). The absolute error is smaller than 25% for the sensible heat and latent heat, and 28 smaller than 12% and 30% for the LST and runoff, respectively, which indicates that VIC-urban can 29 effectively simulate hydrological and thermal fluxes in urban systems. Sensitivity analysis reveals that 30 the roof emissivity and interception capacity exert the greatest impact on the roof temperature and 31 evaporation, and the height-width ratio has the greatest influence on the canyon. Our work introduces a 32 reliable option for large-scale land surface simulations that accounts for urban environments, and is 33 among the first attempts to establish a systematic urban modelling framework of the VIC model. The 34 VIC-urban model enables the analysis of urbanization-induced environmental changes and 35 quantification of environmental variations among different urban configurations. The proposed model 36 can thus offer invaluable insights for urban planners and landscape designers.
Semanticizing the brain Reiteration as a key concept in understanding representation and behavior

In the past decade neuroscientists have arrived at an understanding of neural representation that potentially sheds a whole new light on a range of phenomena in philosophy as well as psychology. Concretely, I argue that their work on so called engrams suggests that semantic representations are involved in almost all behavior seen in humans and other animals that are sensitive to reward and punishment. Although in the brain there is a division of tasks, the way information is processed at the level of neurons is the same throughout the system. Part of the information that a neural element codes for ‘carries over’ to the neural elements it is connected to. Moreover, it is thanks to this phenomenon, that I propose to call reiteration, that the various mental (and somatic) subsystems can cooperate as readily as they do without the help of a central system to regulate their activity. I further argue that this reconceptualization of representation can be combined with insights from the predictive processing and semantic roles approaches and outline the resulting model of intelligent behavior. I submit that the reiteration model shows promise in that it suggests new explanations for important (though maybe not uncontroversial) phenomena such as innate concepts, unconscious reasoning, and reactive attitudes, and offers a novel way to harmonize embodied and representationalist approaches to cognition. I conclude by arguing that my analysis shows how empirically informed philosophy can help naturalize the mind by semanticizing the brain.
Gami ﬁ cation impact on tourists ’ pro-sustainability intentions: integration of technology acceptance model (TAM) and the theory of planned behaviour (TPB)

Purpose – This study used an integrated model that incorporates the Technology Acceptance Model (TAM) and the Theory of Planned Behaviour (TPB) to empirically investigate how eco-gamification stimulates users ’ sustainability knowledge and, consequently, their pro-sustainable intentions through the mediating roles of sustainable knowledge and psychological and social norms. Thus, the study aims to examine users ’ ’ experiences with the JouleBug app, which is designed to encourage users to completeatleastonedailygreentask. Design/methodology/approach – Aftera trialperiod oftwo weeks,a totalof360 participants completed the post-gamesurvey during the researchprocess. Findings – The findings from the structural equation modeling and data analysis indicated a good fit for the model. The findings demonstrate that usefulness, ease of use and enjoyment of eco-gamification enrich users ’ sustainability knowledge, which, in turn, strongly influences their pro-sustainable intentions. According to the findings, the three factors of TPB have a significant impact on users ’ pro-sustainability intentions. Both sustainableknowledge and social cues play mediatingroles insuch relationships. Practical implications – This study advocates that eco-gamification can be used as a platform to modify tourists’ pro-sustainability intentions in emerging tourism and technology destinations such as Egypt. Hence, this study offers significant information to tourism planners and other stakeholders on tourists’ behavioural intentions. Originality/value – This study examined the effectiveness of an integrated model of TAM and TBP in predicting tourists’ intentionstouse eco-gamification toimprove thesustainabilityoftouristdestinations.
The Doer Effect: Replicating Findings that Doing Causes Learning

—There is a dire need for replication research in the learning sciences, as methods put forth for increasing student learning should be unequivocally grounded in reproducible, reliable research. Learning science research is not only a critical input in the learning engineering process during the development of educational technology tools, such as courseware, but also as an output after student data have been analyzed to determine if the learning methods used were effective for students in their natural learning context. Furthermore, research that can provide causal evidence that a method of learning is effective for students should be reproduced—and the generality for its use expanded—so that methods that cause learning gains can be widely applied. One such method is the doer effect: the principle that students who engage with more practice have higher learning gains than those who only read expository text or watch video. This effect has been shown to be causal in prior research through statistical modeling using data mined from natural learning contexts. The goal of this paper is to replicate this research using a large-scale data set from courseware used at a major online university. The learning-by-doing data recorded by the courseware platform were combined with final exam data to replicate the statistical model of the causal doer effect study. Results from this analysis similarly point to a causal relationship between doing practice and learning outcomes. The implications of these doer effect results and future learning science research using large-scale data analytics will be discussed.
Autophagy, Ferroptosis, Apoptosis and Pyroptosis in Metabolic Dysfunction-Associated Steatotic Liver Disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD) has a global prevalence of 25% and is a leading cause of cirrhosis and hepatocellular carcinoma. The prevalence of MASLD has been increasing, mirroring the global increase in diabetes and metabolic syndrome. MASLD is a chronic and progressive condition characterized by inflammation, oxidative stress, insulin resistance, and disruptions in lipid metabolism. Programmed cell death (PCD) plays a pivotal role in determining the pathological aspects of MASLD, including liver inflammation, fibrosis, and even the potential for malignant transformation. PCD is a dominant process that is fundamental for eukaryotic growth and serves as a regulatory factor in MASLD. PCD encompasses various pathways, including autophagy, ferroptosis, apoptosis, and pyroptosis. These PCD pathways can be activated at different stages of MASLD. The key effector molecules involved in these processes are central focal points in the development of therapeutic interventions for MASLD. Here, we comprehensively review the idea that targeted the modulation of the PCD pathway may be an effective approach for the prevention and/or treatment of MASLD.
Electronic Medical Record and Smoking Cessation Activities: Literature Review

Vital information regarding the life and health of a patient is gathered in medical records. The electronic medical record (EMR) is the product of medical record information technology development. Electronic health records and other health information systems have the potential to be useful tools for raising the caliber and efficacy of clinical interventions aimed at reducing tobacco consumption. Electronic medical records are used by doctors, clinics, and health care organizations to track patient smoking cessation outcomes and as a smoking cessation support tool. Thirteen papers from the Google Schoolar database and the reference lists of the included research were used in the review. We looked for research that was written between 2010 and 2020. Overall, these trials discovered that only slight benefits were made by several doctor-recommended therapies related to tobacco use. Following modifications to electronic medical records intended to speed up the collection and management of tobacco use during medical visits, there seems to have been a rise in the documentation of tobacco status and referrals for cessation counseling. To maximize the potential of EMRs for extra therapeutic advantages and smoking cessation in hospital settings, more research is required.
Children benefit from gestures to understand degraded speech but to a lesser extent than adults

The present study investigated to what extent children, compared to adults, benefit from gestures to disambiguate degraded speech by manipulating speech signals and manual modality. Dutch-speaking adults (N = 20) and 6- and 7-year-old children (N = 15) were presented with a series of video clips in which an actor produced a Dutch action verb with or without an accompanying iconic gesture. Participants were then asked to repeat what they had heard. The speech signal was either clear or altered into 4- or 8-band noise-vocoded speech. Children had more difficulty than adults in disambiguating degraded speech in the speech-only condition. However, when presented with both speech and gestures, children reached a comparable level of accuracy to that of adults in the degraded-speech-only condition. Furthermore, for adults, the enhancement of gestures was greater in the 4-band condition than in the 8-band condition, whereas children showed the opposite pattern. Gestures help children to disambiguate degraded speech, but children need more phonological information than adults to benefit from use of gestures. Children’s multimodal language integration needs to further develop to adapt flexibly to challenging situations such as degraded speech, as tested in our study, or instances where speech is heard with environmental noise or through a face mask.
Effects of Physical Activity and COVID-19 on Healthy Student Strengths in the University System: Implications for Post-Pandemic Management

The COVID-19 pandemic has profoundly affected the physical, mental, and social well-being of millions worldwide. It has also brought about abrupt disruptions to the entire university system, whose students form a crucial segment of society. The pandemic’s effects on student education and well-being have been particularly significant. One of the primary consequences has been a drastic reduction in physical activity levels among students, leading to mental and physical health problems. Despite the rapid growth in the literature exploring student experiences during the pandemic, there is a paucity of research on how this decline in physical activity has affected the five strengths of the healthy student: optimism, self-efficacy, resilience, engagement, and hope. Therefore, the aim of this investigation is to examine the relationship between physical activity levels and the five strengths of the healthy student at two different time points (pre-COVID-19 and COVID-19) through the International Physical Activity Questionnaire (IPAQ) and the Healthy Student Questionnaire. The study involved 897 participants, with 290 participating in the pre-COVID-19 phase and 607 participating in the COVID-19 phase. The results revealed significant differences in the five strengths between the two periods. Students who engaged in physical activity exhibited significantly higher optimism scores in the pre-COVID-19 phase. During the COVID-19 phase, physically active students demonstrated significantly higher scores in optimism, resilience, and self-efficacy. These findings provide clear guidance for university administrators seeking to enhance student well-being in a post-pandemic world and in the face of future disruptions. Universities should consider implementing physical exercise programs for their students to promote psychosocial well-being and provide training and resources to equip faculty members with new skills to better understand and support students’ perceptions.
A Further Discussion on Formation Background and Tectonic Constraints of Igneous Rocks in Central Sub-Basin of the South China Sea

Based on analysis of petrological and geochemical information of igneous rocks sampled from central sub-basin of the South China Sea,this article attempts to address the magmatic processes and tectonic background of the research area.By renewing the available datas and combining them with latest test results of igneous rock samples collected from 6 seamount chains in the central sub-basin of South China Sea(SCS),we analyze the alkali basalt,transitional tholeiite,trachyte,trachyandesite and rhyodacite under a unified magmatic differentiation system in this paper.The geochemical indices show that the evolutionary relationship of these igneous rocks was relatively consistent and the regional mantle source was heterogeneous,consisting of two end-members: EMⅠ and DMM.According to the Mg#,differentiation index(DI),attributes of major and minor elements,we conclude that subsequent to the fractional crystallization of olivine and pyroxene in upper mantle,the primitive magma continues its evolution to bring about this rock association.Furthermore,geological datas also indicate that during the process of magma evolving,different degrees of contamination occurred in different stages of sea-floor expansion,which may be one of the most important heritage left by the rupture of passive continental margin.
Penilaian Kematangan Master Data Management: Studi Kasus Perusahaan XYZ

– Master Data Management Maturity Assessment: Case Study of XYZ Company. Master data is the most valuable data with the highest priority because it represents the main business object and is the foundation of the main business process, poor master data quality will reduce quality and cause data-related problems. This research was conducted to determine the maturity level of master data management activities at XYZ company which digitized their business processes but still had problems such as inconsistent data, silos and data duplication which referred to the cause of the lack of quality of master data management. For this reason, an assessment is carried out to determine the maturity level of master data management practices in the company and as a basis for carrying out activities to improve data quality as a company asset in the future using the Spruit-Pietzka model as maturity assessment methodology and questionnaire development. Based on the assessment, the maturity level did not reach level 1 because the data quality topic failed to reach level 1 while the data model and maintenance topic reached level 1, usage and ownership reached level 2 and data protection was at level 3 Level 1 can be achieved if there is a master data quality standard policy and data asset quality knowledge as the basis for measuring and improving data quality.
Mango Consumption Was Associated with Higher Nutrient Intake and Diet Quality in Women of Childbearing Age and Older Adults

Nutritional equity has been recognized as a priority in nutrition research, as reiterated by the new life-stage approach utilized by the Dietary Guidelines for Americans. Two of the life stages focused on are pregnant and lactating females as well as older adults, due to their unique nutritional needs and unique chronic health conditions. Both groups have low intakes of several nutrients, including those of public health concern, and suboptimal diet quality, underlining the importance to improve their dietary intakes. Incorporating fruit into their diets could help alleviate these gaps. Thus, the objective of the current study is to expand upon our current knowledge of the benefits of fruit within these two subgroups that DGA guidelines focus on and determine nutrient and food group intake as well as diet quality in women of childbearing age (WCA; as a proxy for pregnant and/or lactating females, n = 16,774) and older adult (n = 18,784) mango consumers compared with non-consumers, using NHANES 1988–1994 and 1999–2018. Both WCA and older adult mango consumers had greater than 20% higher intakes of fiber and vitamin C and WCA consumers had upwards of 10% higher folate, magnesium, and potassium intakes compared with non-consumers. Both groups of consumers had lower intake of saturated fat and older adults had lower intakes of protein and vitamin B12. Diet quality was 16 and 13% higher in WCA and older adult consumers compared with non-consumers, respectively. Additionally, mango consumers had lower beef, poultry, fish, and solid fat intakes and WCA consumers had higher whole grain intakes compared with non-consumers. This study suggests incorporating mango into the diet could increase select nutrient intake as well as diet quality in specific life stages of adult Americans.
Analyzing the Two-Phase Heterogeneous and Batch Service Queuing System with Breakdown in Two-Phases, Feedback, and Vacation

Customers are arriving at the system in bulk according to the Poisson process with rate λ1. The batch service process is split into two phases called first essential service (FES) and second essential service (SES) with minimum server capacity ′a′ and maximum server capacity ′b′. Customer who requires feedback after SES completion will be taken immediately for service by the server with probability β.
The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives

Epilepsy is now considered a network disease that affects the brain across multiple levels of spatial and temporal scales. The paradigm shift from an epileptic focus—a discrete cortical area from which seizures originate—to a widespread epileptic network—spanning lobes and hemispheres—considerably advanced our understanding of epilepsy and continues to influence both research and clinical treatment of this multi-faceted high-impact neurological disorder. The epileptic network, however, is not static but evolves in time which requires novel approaches for an in-depth characterization. In this review, we discuss conceptual basics of network theory and critically examine state-of-the-art recording techniques and analysis tools used to assess and characterize a time-evolving human epileptic brain network. We give an account on current shortcomings and highlight potential developments towards an improved clinical management of epilepsy.