Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Learning Method and Hyperspectral Imaging for Precise Determination of Glucose and Silicon Levels

This article introduces an algorithm for detecting glucose and silicon levels in solution. The research focuses on addressing the critical need for accurate and efficient glucose monitoring, particularly in the context of diabetic management. Understanding and monitoring silicon levels in the body is crucial due to its significant role in various physiological processes. Silicon, while often overshadowed by other minerals, plays a vital role in bone health, collagen formation, and connective tissue integrity. Moreover, recent research suggests its potential involvement in neurological health and the prevention of certain degenerative diseases. Investigating silicon levels becomes essential for a comprehensive understanding of its impact on overall health and well-being and paves the way for targeted interventions and personalized healthcare strategies. The approach presented in this paper is based on the integration of hyperspectral data and artificial intelligence techniques. The algorithm investigates the effectiveness of two distinct models utilizing SVMR and a perceptron independently. SVMR is employed to establish a robust regression model that maps input features to continuous glucose and silicon values. The study outlines the methodology, including feature selection, model training, and evaluation metrics. Experimental results demonstrate the algorithm’s effectiveness at accurately predicting glucose and silicon concentrations and showcases its potential for real-world application in continuous glucose and silicon monitoring systems.
Working paper: Visualizing causal scenarios and planned|realized measurements [ interactively ] *

This study explores ways of visualizing causal scenarios, planned and realized measurements. A causal scenario describes how a treatment variable D affects a response variable Y, when and for which units. It involves the trajectories of D and Y across time, across units or groups thereof. The visual framework developed in this study emphasizes the role of time in causal relationships. We illustrate various insights it may produce and test potential applications relying on a combination of hypothetical examples and examples from the causal inference literature (e.g. Lalonde 1986, Card and Krueger 1994). As a proof-of-concept the study is supplemented with an online application (based on open-source software R, Shiny and Plotly). In the future this application should allow users to visualize examples as well as ‘draw’ their own scenarios interactively. Most of the graphs in this paper were made using the app and you can ﬁnd a development version online here .
Mechanisms of the 40–70 Day Variability in the Yucatan Channel Volume Transport

The Yucatan Channel connects the Caribbean Sea with the Gulf of Mexico and is the main outflow region of the Caribbean Sea. Moorings in the Yucatan Channel show high-frequent variability in kinetic energy (50–100 days) and transport (20–40 days), but the physical mechanisms controlling this variability are poorly understood. In this study, we show that the short-term variability in the Yucatan Channel transport has an upstream origin and arises from processes in the North Brazil Current. To establish this connection, we use data from altimetry and model output from several high resolution global models. A significant 40–70 day variability is found in the sea surface height in the North Brazil Current retroflection region with a propagation toward the Lesser Antilles. The frequency of variability is generated by intrinsic processes associated with the shedding of eddies, rather than by atmospheric forcing. This sea surface height variability is able to pass the Lesser Antilles, it propagates westward with the background ocean flow in the Caribbean Sea and finally affects the variability in the Yucatan Channel volume transport.
Episodic modes of operation in hydrothermal gold systems: Part I. Deformation, mineral reactions and chaos

Abstract Episodic fluctuations in fluid pressure and temperature are characteristic of the behaviour of orogenic gold systems and are commonly attributed to processes external to the system, such as seismic events and associated adiabatic fault valve or suction pump/piston behaviour; any temperature changes are attributed to the adiabatic nature of the process. Such processes are commonly associated with fluctuations in fluid pressure with little, if any, changes in temperature. We describe aseismic, non-adiabatic processes internal to the hydrothermal system that lead to episodic modes of temperature and fluid pressure behaviour and the deposition of gold. These gold deposition processes are essentially controlled by localized changes in temperature; such temperature-dependent gold deposition processes are normally thought of as inconsequential. We propose that internal episodic behaviour is fundamental in hydrothermal mineralizing systems associated with orogenic gold deposits. Importantly, the time period for these hydrothermal events appears to be small relative to metamorphic systems, with 1–2 myr as an upper limit. This has important ramifications for rates of heat production and for the resultant kinetics of mineral reactions during alteration and mineralization. We explore these systems as non-linear, non-equilibrium dynamic, open flow systems.
Ancestry Specific Polygenic Risk Score, Dietary Patterns, Physical Activity, and Cardiovascular Disease

It is unknown whether the impact of high diet quality and physical activity depends on the level of polygenic risk score (PRS) in different ancestries. Our cross-sectional study utilized de-identified data from 1987–2010 for self-reported European Americans (n = 6575) and African Americans (n = 1606). The high-risk PRS increased ASCVD risk by 59% (Risk Ratio (RR) = 1.59; 95% Confidence Interval:1.16–2.17) in the highest tertile for African Americans and by 15% (RR = 1.15; 1.13–1.30) and 18% (RR = 1.18; 1.04–1.35) in the second and highest tertiles compared to the lowest tertile in European Americans. Within the highest PRS tertiles, high physical activity-diet combinations (Dietary Approaches to Stop High Blood Pressure (DASH), Mediterranean, or Southern) reduced ASCVD risks by 9% (RR = 0.91; 0.85–0.96) to 15% (RR = 0.85; 0.80–0.90) in European Americans; and by 13% (RR = 0.87; 0.78–0.97) and 18% (RR = 0.82; 0.72–0.95) for DASH and Mediterranean diets, respectively, in African Americans. Top molecular pathways included fructose metabolism and catabolism linked to obesity, insulin resistance, and type 2 diabetes. Additional molecular pathways for African Americans were Vitamin D linked to depression and aging acceleration and death signaling associated with cancer. Effects of high diet quality and high physical activity can counterbalance the influences of genetically high-risk PRSs on ASCVD risk, especially in African Americans.
Efficient Capture of Cannabis Terpenes in Olive Oil during Microwave-Assisted Cannabinoid Decarboxylation

The development of selective extraction protocols for Cannabis-inflorescence constituents is still a significant challenge. The characteristic Cannabis fragrance can be mainly ascribed to monoterpenes, sesquiterpenes and oxygenated terpenoids. This work investigates the entrapment of Cannabis terpenes in olive oil from inflorescences via stripping under mild vacuum during the rapid microwave-assisted decarboxylation of cannabinoids (MW, 120 °C, 30 min) and after subsequent extraction of cannabinoids (60 and 100 °C). The profiles of the volatiles collected in the oil samples before and after the extraction step were evaluated using static headspace solid-phase microextraction (HS-SPME), followed by gas chromatography coupled to mass spectrometry (GC-MS). Between the three fractions obtained, the first shows the highest volatile content (~37,400 mg/kg oil), with α-pinene, β-pinene, β-myrcene, limonene and trans-β-caryophyllene as the main components. The MW-assisted extraction at 60 and 100 °C of inflorescences using the collected oil fractions allowed an increase of 70% and 86% of total terpene content, respectively. Considering the initial terpene amount of 91,324.7 ± 2774.4 mg/kg dry inflorescences, the percentage of recovery after decarboxylation was close to 58% (mainly monoterpenes), while it reached nearly 100% (including sesquiterpenes) after extraction. The selective and efficient extraction of volatile compounds, while avoiding direct contact between the matrix and extraction solvents, paves the way for specific applications in various aromatic plants. In this context, aromatized extracts can be employed to create innovative Cannabis-based products within the hemp processing industry, as well as in perfumery, cosmetics, dietary supplements, food, and the pharmaceutical industry.
Hydrophobic Surface Array Structure Based on Laser-Induced Graphene for Deicing and Anti-Icing Applications

The exceptional performance of graphene has driven the advancement of its preparation techniques and applications. Laser-induced graphene (LIG), as a novel graphene preparation technique, has been applied in various fields. Graphene periodic structures created by the LIG technique exhibit superhydrophobic characteristics and can be used for deicing and anti-icing applications, which are significantly influenced by the laser parameters. The laser surface treatment process was simulated by a finite element software analysis (COMSOL Multiphysics) to optimize the scanning parameter range, and the linear array surface structure was subsequently fabricated by the LIG technique. The generation of graphene was confirmed by Raman spectroscopy and energy-dispersive X-ray spectroscopy. The periodic linear array structure was observed by scanning electron microscopy (SEM) and confocal laser imaging (CLSM). In addition, CLSM testings, contact angle measurements, and delayed icing experiments were systematically performed to investigate the effect of scanning speed on surface hydrophobicity. The results show that high-quality and uniform graphene can be achieved using the laser scanning speed of 125 mm/s. The periodic linear array structures can obviously increase the contact angle and suppress delayed icing. Furthermore, these structures have the enhanced ability of the electric heating deicing, which can reach 100 °C and 240 °C within 15 s and within 60 s under the DC voltage power supply ranging from 3 to 7 V, respectively. These results indicate that the LIG technique can be developed to provide an efficient, economical, and convenient approach for preparing graphene and that the hydrophobic surface array structure based on LIG has considerable potential for deicing and anti-icing applications.
A simulation framework to determine optimal strength training and musculoskeletal geometry for sprinting and distance running

Musculoskeletal geometry and muscle volumes vary widely in the population and are intricately linked to the performance of tasks ranging from walking and running to jumping and sprinting. As an alternative to experimental approaches, where it is difficult to isolate factors and establish causal relationships, simulations can be used to independently vary musculoskeletal geometry and muscle volumes, and develop a fundamental understanding. However, our ability to understand how these parameters affect task performance has been limited due to the high computational cost of modelling the necessary complexity of the musculoskeletal system and solving the requisite multi-dimensional optimization problem. For example, sprinting and running are fundamental to many forms of sport, but past research on the relationships between musculoskeletal geometry, muscle volumes, and running performance has been limited to observational studies, which have not established cause-effect relationships, and simulation studies with simplified representations of musculoskeletal geometry. In this study, we developed a novel musculoskeletal simulator that is differentiable with respect to musculoskeletal geometry and muscle volumes. This simulator enabled us to find the optimal body segment dimensions and optimal distribution of added muscle volume for sprinting and marathon running. Our simulation results replicate experimental observations, such as increased muscle mass in sprinters, as well as a mass in the lower end of the healthy BMI range and a higher leg-length-to-height ratio in marathon runners. The simulations also reveal new relationships, for example showing that hip musculature is vital to both sprinting and marathon running. We found hip flexor and extensor moment arms were maximized to optimize sprint and marathon running performance, and hip muscles the main target when we simulated strength training for sprinters. Our simulation results provide insight to inspire future studies to examine optimal strength training. Our simulator can be extended to other athletic tasks, such as jumping, or to non-athletic applications, such as designing interventions to improve mobility in older adults or individuals with movement disorders.
First Successful Hindcasts of the 2016 Disruption of the Stratospheric Quasi‐biennial Oscillation

In early 2016 the quasi‐biennial oscillation in tropical stratospheric winds was disrupted by an anomalous easterly jet centered at ~40 hPa, a development that was completely missed by all operational extended range weather forecast systems. This event and its predictability are investigated through 40 day ensemble hindcasts using a global model notable for its sophisticated representation of the upper atmosphere. Integrations starting at different times throughout January 2016—just before and during the initial development of the easterly jet—were performed. All integrations simulated the unusual developments in the stratospheric mean wind, despite considerable differences in other aspects of the flow evolution among the ensemble members, notably in the evolution of the winter polar vortex and the day‐to‐day variations in extratropical Rossby waves. Key to prediction of this event is simulating the slowly evolving mean winds in the winter subtropics that provide a waveguide for Rossby waves propagating from the winter hemisphere.
Inter-regional patient mobility in decentralised Spain: Explaining regional budget imbalances.

Inter-regional patient mobility represents both a resource and a challenge for the organization and financing of health systems, particularly in decentralised countries. We use cross-sectional time series regression analysis to test the determinants of imbalances in regional funds to finance inter-regional patient mobility for the 17 Spanish regions for the period 2014-2020. The findings indicate that highly specialised health centres and bilateral agreements partly explain the budget imbalance from inter-regional patient referrals, while local tourism partly explains the budget imbalance from non-referred patient mobility. Developing effective national schemes to compensate net patient recipient regions would be fundamental to addressing territorial imbalances.
An Umbrella Insight into the Phytochemistry Features and Biological Activities of Corn Silk: A Narrative Review

Corn silk (Zea mays L.) is the stigma of an annual gramineous plant named corn, which is distributed in many regions worldwide and has a long history of medicinal use. In recent years, with the sustainable development of traditional Chinese medicine, studies of corn silk based on modern technologies, such as GC–MS, LC–MS, and other analytical means, have offered more comprehensive analyses. Phytochemistry studies have shown that the main bioactive components in corn silk include flavonoids, polyphenols, phenolic acids, fatty acids, and terpenoids. Pharmacological studies have shown that corn silk extract has various pharmacological effects, such as reducing blood lipids, lowering blood pressure, regulating blood sugar levels, anti-inflammatory effects, and anti-oxidation effects. In this paper, the related research on corn silk from the past few years is summarized to provide a theoretical reference for the further development and utilization of corn silk.
A meta‐analysis comparing efficacy and safety between proton beam therapy versus carbon ion radiotherapy

Abstract Background This study aimed to compare the outcomes of proton beam therapy (PBT) and carbon ion radiotherapy (CIRT) by a systematic review and meta‐analysis of the existing clinical evidence. Methods A systematic literature search was performed to identify studies comparing the clinical outcomes of PBT and CIRT. The included studies were required to report oncological outcomes (local control [LC], progression‐free survival [PFS], or overall survival [OS]) or adverse events. Results Eighteen articles comprising 1857 patients (947 treated with PBT and 910 treated with CIRT) were included in the analysis. The pooled analysis conducted for the overall population yielded average hazard ratios of 0.690 (95% confidence interval (CI), 0.493–0.967, p = 0.031) for LC, 0.952 (95% CI, 0.604–1.500, p = 0.590) for PFS, and 1.183 (0.872–1.607, p = 0.281) for OS with reference to CIRT. The subgroup analyses included patients treated in the head and neck, areas other than the head and neck, and patients with chordomas and chondrosarcomas. These analyses revealed no significant differences in most outcomes, except for LC in the subgroup of patients treated in areas other than the head and neck. Adverse event rates were comparable in both groups, with an odds ratio (OR) of 1.097 (95% CI, 0.744–1.616, p = 0.641). Meta‐regression analysis for possible heterogeneity did not demonstrate a significant association between treatment outcomes and the ratio of biologically effective doses between modalities. Conclusion This study highlighted the comparability of PBT and CIRT in terms of oncological outcomes and adverse events.
Emerging Technologies in Edge Computing and Networking

The global evolution of the Internet is experiencing a notable and inevitable change towards a convergent scenario known as the Internet of Things (IoT), where a large number of devices with heterogeneous characteristics and requirements have to be interconnected to serve different verticals, such as smart cities, intelligent transportation systems, smart grids, (ITS) or e-health [. ].
IAES International Journal of Artificial Intelligence (IJ-AI)

Received Oct 2, 2021 Revised Apr 4, 2022 Accepted Apr 28, 2022 Half of the entire social media users in Indonesia has experienced cyberbullying. Cyberbullying is one of the treatments received as an attack with abusive words. An abusive word is a word or phrase that contained harassment and is expressed be it spoken or in the form of text. This is a serious problem that must be controlled because the act has an impact on the victim's psychology and causes trauma resulting in depression. This study proposed to identify abusive comments from social media in Indonesian language using a deep learning approach. The architecture used is a hybrid model, a combination between recurrent neural network (RNN) and long short-term memory (LSTM). RNN can map the input sequences to fixed-size vectors on hidden vector components and LSTM implemented to overcome gradient vector growth components that have the potential to exist in RNN. The steps carried out include preprocessing, modelling, implementation, and evaluation. The dataset used is indonesian abusive and hate speech from Twitter data. The evaluation result showed that the model proposed produced an f-measure value of 94% with an increase in accuracy of 23%.
First Report of the Emergence of Peste des Petits Ruminants Lineage IV Virus in Senegal

Peste des petits ruminants (PPR) is a highly contagious viral disease and one of the deadliest affecting wild goats, sheep, and small ruminants; however, goats are generally more sensitive. The causative agent is the Peste des Petits Ruminants virus (PPRV), which is a single-stranded RNA virus of negative polarity belonging to the Paramyxoviridae family. In February 2020, an active outbreak of PPR was reported in a herd of a transhumant farmer in the village of Gainth Pathé (department of Kounguel, Kaffrine region, Senegal). Of the ten swabs collected from the goats, eight returned a positive result through a quantitative real-time PCR. The sample that yielded the strongest signal from the quantitative real-time PCR was further analyzed with a conventional PCR amplification and direct amplicon sequencing. A phylogenetic analysis showed that the sequence of the PPR virus obtained belonged to lineage IV. These results confirm those found in the countries bordering Senegal and reinforce the hypothesis of the importance of animal mobility between these neighboring countries in the control of PPRV. In perspective, following the discovery of this lineage IV in Senegal, a study on its dispersion is underway throughout the national territory. The results that will emerge from this study, associated with detailed data on animal movements and epidemiological data, will provide appropriate and effective information to improve PPR surveillance and control strategies with a view to its eradication.
Deformation modes of subducted lithosphere at the core‐mantle boundary: An experimental investigation

Ancient subducted lithosphere may be an important source of the seismically observed heterogeneity and anisotropy in the D″ layer. Proper interpretation of the seismic observations therefore requires an understanding of how subducted lithosphere deforms upon reaching the core‐mantle boundary (CMB). Here we study this process experimentally, using an analog model system in which a sheet of viscous sugar syrup (representing the subducted lithosphere) falls vertically onto an impermeable surface (the “CMB”) at the bottom of a reservoir of less viscous syrup (the “ambient mantle”). For sheet/ambient viscosity contrasts γ less than a critical value γc that depends on the ratio of the fall height to the sheet thickness, the sheet impinges on the CMB as a stagnation flow with bilateral symmetry. For γ > γc, however, the sheet undergoes a periodic folding instability. We determine experimentally a universal scaling law for the folding amplitude δ as a function of the viscosities and densities of the two fluids and the thickness and vertical velocity of the sheet where it enters the folding region. To apply this law to the Earth, we assume that the sheet's excess viscosity and density relative to the ambient mantle are both controlled by the same temperature anomaly ΔT. Using estimated rheological parameters for diffusion creep in the lowermost mantle, we find that the folding criterion γ > γc requires ΔT > 300 K. The presence of folded lithosphere at the CMB beneath the Cocos plate, suggested recently on the basis of seismic data by Hutko et al. [2006], is unlikely to be the result of in situ folding because the temperature anomaly (400–700 K) required to explain the observed variations in the depth of the postperovskite phase transition is probably too large to be preserved in a deeply penetrating slab. However, the seismic observations might be explained in an alternative way by a “pile” of folded lithosphere that formed at 660 km depth and subsequently sank to the CMB.
A modification of ATSC transmission system for terrestrial 3D HDTV broadcasting

In this paper, we study the potential of terrestrial 3D HDTV (High Definition Television) broadcasting by a modification and an extension of the ATSC 8-VSB transmission system. First, we analyze the performance and the limit of conventional ATSC (Advanced Television Systems Committee) 8-VSB (Vestigial Side Band) transmission system. By referencing the performance of ATSC systems, we examine the possibility of the transmission capacity increase at a reasonable TOV (Threshold of Visibility) by employing powerful LDPC (Low Density Parity Check) & BCH (Bose Chaudhuri Hocquenghem) codes instead of conventional RS (Reed Solomon) & TCM (Trellis Coded Modulation) codes, varying the code-rates, and increasing the modulation constellation. We do not consider the complete backward compatibility for the maximum transmission capacity increase, as in the DVB-T2 system.