Miracle-dz/UniFAR-FTUs huggingface dataset:
Tunable Graphene-Based Metasurface for Polarization-Independent Broadband Absorption in Lower Mid-Infrared (MIR) Range

This paper proposes a tunable graphene-based wideband metasurface for high absorption in the lower mid-infrared frequency region. The unit cell of the proposed structure consists of slot generated out of modified fractal-shaped graphene layer deposited on top of amorphous silicon dioxide (SiO2) grown over 0.1-μm-thick gold layer. The structure exhibits distinctive high absorption greater than 90% absorptivity over the range of 3.69–9.77 THz covering a wideband of 6.08 THz. Incorporation of graphene in the metastructure can tune the absorption bandwidth owing to conductivity modulation of graphene by the control of impurity doping and mechanical stretching. Besides, the absorber is polarization independent under normal incidence because of the fourfold symmetry of the deposited graphene pattern. The designed prototype has been studied under oblique incidences for both transverse electric and transverse magnetic polarizations where wideband absorption has been experienced up to 40° incident angles for both cases. The prototype is found to be as thin as ∼λ/11 with respect to the lowermost frequency of the absorption. The period of the unit cell is ∼λ/13 supporting the effective homogeneity condition in subwavelength region. The structure can have applications toward sensing, spectroscopy, etc.
Data Reduction Network

—Multidimensional categorical data is widespread but not easily visualized using standard methods. For example, questionnaire (e.g. survey) data generally consists of questions with categorical responses (e.g., yes/no, hate/dislike/neutral/like/love). Thus, a questionnaire with 10 questions, each with five mutually exclusive responses, gives a dataset of 5 10 possible observations, an amount of data that would be hard to reasonably collect. Hence, this type of dataset is necessarily sparse. Popular methods of handling categorical data include one-hot encoding (which exacerbates the dimensionality problem) and enumeration, which applies an unwarranted and potentially misleading notional order to the data. To address this, we introduce a novel visualization method named Data Reduction Network (DRN). Using a network-graph structure, the DRN denotes each categorical feature as a node with interrelationships between nodes denoted by weighted edges. The graph is statistically reduced to reveal the strongest or weakest path-wise relationships between features and to reduce visual clutter. A key advantage is that it does not “lose” features, but rather represents interrelationships across the entire categorical feature set without eliminating weaker relationships or features. Indeed, the graph representation can be inverted so that instead of visualizing the strongest interrelationships, the weakest can be surfaced. The DRN is a powerful visualization tool for multi-dimensional categorical data and in particular data derived from surveys and questionaires.
Ecotourism and botanic gardens - an education perspective. A case study of education programmes at Kirstenbosch National Botanical Garden and how they are used to promote eco-tourism.

Kirstenbosch National Botanical Garden, the flagship of the South African Biodiversity Institute – was established in 1913 to conserve and promote the indigenous flora of Southern Africa. The garden is internationally acclaimed as one of the great botanical gardens of the world. Being part of the Table Mountain National Park, it has been inscribed as South Africa's sixth World Heritage Site in 2005. This is the first time that a botanical garden has been recognized as a natural World Heritage site. World Heritage sites are described as places on earth that are considered to be of outstanding universal significance to humanity. The garden is also perceived as the gateway to the Cape Floristic Region and therefore is ideally situated as a tourist destination and to promote eco-tourism.
Recognizing how ecosystem services of Mahuida Park (Santiago de Chile) benefit citizen: a strategy to link the protection of natural areas to urban settings

Els ecosistemes mediterranis xilens representen un hotspot de biodiversitat, pero, la seva importancia biologica no ha estat un suficient argument per protegir-los. En aquest estudi, utilitzant el Parc Mahuida com a model, proposem un enfocament diferent basat en la identificacio i maximitzacio dels serveis ecosistemics per promoure la conservacio d'aquests. Hem argumentat que l'estructura de la vegetacio nativa en combinacio amb altres atributs de la topografia d'aquest parc pot proporcionar serveis ecosistemics de regulacio a les zones urbanes que l'envolten. Aquest enfocament pot ser utilitzat com un argument per donar proteccio a la vegetacio mediterrania dins del parc, i al mateix temps, augmentar els recursos economics donats pels governs locals. L'enfocament es basa en el benestar diari dels que viuen mes a prop de zones naturals. Desitgem que aquestes proposta pugui ajudar a incorporar aquest aspecte funcional en la planificacio, la gestio i la presa de decisions relacionades amb parcs urbans i periurbans.
KEMAMPUAN MULTIREPRESENTASI VERBAL DAN TABEL MAHASISWA PENDIDIKAN FISIKA SEMESTER 5 PADA MATERI KARAKTERISTIK GELOMBANG ELEKTROMAGNETIK

The purpose of writing this article is to determine the effectiveness of verbal and table multi- representation learning for 5th semester physics students on the characteristics of electromagnetic waves. The background of this article is that there are many physics students who have low verbal and table multirepresentation abilities, so this research needs to be done in order to find out the multi-presentation ability of physics students which can be seen from the results of their answers when solving problems on the characteristics of electromagnetic waves. The data collection process is carried out with a survey method of knowledge tests using a questionnaire on the google form application. The method used is a quantitative method, namely by collecting data, then analyzing it. The population of this study were 50 physics education students while the sample was fifth semester students who were studying the characteristics of electromagnetic waves. With the data collection method above, the results obtained are the results of the multi-representation in the form of a table which is higher than the multi-representation in the form of a verbal. Therefore, this multi-representation learning strategy in the form of a table can be a solution to increase student knowledge on the material characteristics of electromagnetic waves.Key words: multipresentation, learning, electromagnetic waves
African Journal of Biotechnology Vol

The effects of gibberellins (GAs) on plant growth and the expression of VFL and VvTFL1 genes in different organs of “Xiangfei” grapevine (Vitis vinifera L.) were investigated. The endogenous GA content significantly increased in the apical bud, inflorescence and tendril after GA treatment of grapevine. The expression of the VFL gene was obviously reduced in the meristem of apical buds, tendrils with florets and small inflorescences after GA treatment, but VFL gene expression was clearly found during the middle and big inflorescence developmental stages. These results suggested that the exogenous GAs delayed floral development of grapevine by inhibiting VFL gene expression at the early stage of inflorescence development. VvTFL1 gene expression was detected in the meristem of apical bud and lateral bud, but not during the process of inflorescence development. After applying GAs on grapevine, VvTFL1 gene expression decreased in the apical bud. These results suggested that exogenous GA treatments might repress differentiation of the inflorescence meristem primordia by reducing VvTFL1 expression in the apical bud but have no effect on VvTFL1 expression during floral development.
APPLICATION DES MODELES NUMERIQUES DE PROPAGATION A L'ETUDE DES EBOULEMENTS ROCHEUX

LES EBOULEMENTS ROCHEUX CONSTITUENT UN RISQUE NATUREL FREQUENT DANS LES REGIONS DE MONTAGNE, RISQUE EGALEMENT PRESENT DANS LES REGIONS DE RELIEF PLUS MODESTE. CE TYPE DE RISQUE COUVRE UN LARGE EVENTAIL DE PHENOMENES, DEPUIS LES CHUTES DE PIERRES ET DE BLOCS, COURANTES SUR LES ROUTES, JUSQU'AUX GRANDES INSTABILITES DE VERSANTS ROCHEUX METTANT EN JEU DES VOLUMES TRES IMPORTANTS DONT LES EFFETS DESTRUCTEURS PEUVENT ETRE CONSIDERABLES ET LES CONSEQUENCES CATASTROPHIQUES. LES METHODES D'ETUDE D'EVALUATION ET DE PREVENTION DE CES PHENOMENES BENEFICIENT DES PROGRES IMPORTANTS DES METHODES NUMERIQUES QUI ONT PERMET DE DEVELOPPER DES OUTILS D'ANALYSE ET DE SIMULATION SUR ORDINATEUR. LES RECHERCHES DEVELOPPEES PAR LES LABORATOIRES DES PONTS ET CHAUSSEES DANS CE DOMAINE ONT CONDUIT A LA MISE AU POINT DE MODELES NUMERIQUES, APPLIQUES A L'ANALYSE DES PHENOMENES DE PROPAGATION DES DIFFERENTS TYPES D'EBOULEMENTS ROCHEUX, CHUTES DE BLOCS, EBOULEMENTS EN MASSE, EBOULEMENTS CATASTROPHIQUES. CES MODELES FONT MAINTENANT L'OBJET DE NOMBREUSES APPLICATIONS DANS LE CADRE DES ETUDES D'EVALUATION DU RISQUE, DE DEFINITION DES SOLUTIONS DE PREVENTION ET DE LA MISE AU POINT DES PROJETS D'OUVRAGES DE PROTECTION. (A).
Enhancing empirical modelling in environmental science with knowledge discovery and genetic programming

: Genetic programming (GP) has shown great promise in empirical modelling for environmental science, particularly in complex systems such as climate, flood, and environmental modelling. However, the success of GP largely depends on the quality and quantity of data used for training. In this regard, knowledge discovery (KD) can significantly improve GP’s ability to model complex interactions (Grin and Gandomi 2021). KD is the process of discovering new knowledge or insights from existing data, often through data mining and machine learning techniques. KD can be used in conjunction with GP to identify relevant variables, patterns, and interactions within a dataset, which can then be used to improve the accuracy and generalization of GP models. By discovering new knowledge, KD can also help GP to avoid overfitting and capture more complex relationships between variables.
Isolation of endophytic fungi with antimicrobial activity from medicinal plant Rhodomyrtus tomentosa (Aiton) Hassk

Medicinal plants are an abundant source of natural substances used to treat various diseases; thus, they serve as the foundation for new drug discovery. The interaction between endophytic microorganisms and host plants has been extensively studied because they can produce a wide range of secondary metabolites, including those with significant biological functions from their hosts. This study aimed to isolate the endophytic fungi from the roots, barks, and leaves of the rose myrtle ( Rhodomyrtus tomentosa (Ait) Hassk) plant. Endophytic fungi were isolated by direct planting and pour methods. From this plant, 13 endophytic fungi were obtained. Each fungus was grown for 3–4 weeks on rice media. Ethyl acetate was used to extract secondary metabolites from the cultivation results. The antimicrobial activity screening of the extracts was done using the disk diffusion method against microbial pathogens Staphylococcus aureus , Escherichia coli, and Candida albicans . The results showed that three fungus extracts, RTKB3, RTKB4, and RTKB7, had antimicrobial activity against S. aureus and E. coli . However, the extracts did not show inhibition toward the growth of C. albicans . These fungal isolates were identified molecularly as Aspergillus heteromorphic , Aspergillus niger , and Paecilomyces subglobosus . In conclusion, the endophytic fungi from R. tomentosa (Aiton) Hassk were potential producers of antibacterial compounds that need to be investigated further.
Contribution of Positron Emission Tomography-Computed Tomography (PET/CT) to the Diagnosis of Endocarditis Due to an Infected Pacemaker Associated With Spondylodiscitis

The incidence of cardiac device-related endocarditis (CDRIE) is increasing, and its diagnosis and treatment may occasionally be problematic. Echocardiography is important for its diagnosis, and 18F-fluorodeoxyglucose positron emission tomography-computed tomography (PET/CT) may also be useful as a diagnostic procedure. A case of CDRIE due to an infected pacemaker is presented. In this case, blood cultures were repeatedly negative, and transesophageal ultrasound examination did not reveal signs of the disease. However, PET/CT revealed the infection. The causative organism was Corynebacterium spp, and this was finally identified by polymerase chain reaction of a sample of the device material. Eight weeks before the development of CDRIE symptoms, the patient had been empirically treated for spondylodiscitis caused by a non-identified organism. CDRIE and spondylodiscitis are closely associated infections. The present case of CDRIE was treated successfully with six weeks of combination antimicrobial treatment. PET/CT may contribute to CDRIE diagnosis by locating the site(s) of the infection, especially in cases that are ultrasound and culture negative.
A Shift From Temperature to Water as the Primary Driver for Interannual Variability of the Tropical Carbon Cycle

The relative importance of temperature and water constraints on the tropical carbon cycle is an ongoing debate. Here we combine multiple independent tropical ecosystem carbon exchange simulations with satellite observations and show that the primary control for the tropical carbon cycle has shifted recently from temperature to water. We examined the response of tropical ecosystem processes to climate change and suggest that the emerging role of water as the dominant driver for the tropical carbon cycle is attributable to increased precipitation variability, which is associated with intensified extreme drought and wet conditions. Extreme conditions strengthen water's regulation of ecosystem carbon exchange. The weakening influence of temperature is explained by the previously additive effects of temperature on ecosystem productivity and respiration now becoming opposing effects owing to amplified drought conditions, resulting in a reduction to the net effect of temperature on ecosystem carbon exchange.
Frontal adenosine triphosphate markers from 31P MRS are associated with cognitive performance in healthy older adults: preliminary findings

Aging is associated with declines in mitochondrial efficiency and energy production which directly impacts the availability of adenosine triphosphate (ATP), which contains high energy phosphates critical for a variety of cellular functions. Previous phosphorous magnetic resonance spectroscopy (31P MRS) studies demonstrate cerebral ATP declines with age. The purpose of this study was to explore the functional relationships of frontal and posterior ATP levels with cognition in healthy aging. Here, we measured frontal and posterior ATP levels using 31P MRS at 3 Tesla (3 T) and assessed cognition using the Montreal Cognitive Assessment (MoCA) in 30 healthy older adults. We found that greater frontal, but not posterior, ATP levels were significantly associated with better MoCA performance. This relationship remained significant after controlling for age, sex, years of education, and brain atrophy. In conclusion, our findings indicate that cognition is related to ATP in the frontal cortex. These preliminary findings may have important implications in the search for non-invasive markers of in vivo mitochondrial function and the impact of ATP availability on cognition. Future studies are needed to confirm the functional significance of regional ATP and cognition across the lifespan.
Use of Chlorella vulgaris and Ulva lactuca as Biostimulant on Lettuce

The important purpose of this work is to evaluate the biostimulant activity of the algae Chlorella vulgaris and Ulva lactuca extracts on the crop plants Lactuca sativa, to compare the effect of these two green algae on plant growth and development as a part of a sustainable plant production method and show that these extracts can be a promissory source for replacing chemical fertilization. The study faces all the phases of plant growth, from the germination of the seeds to the greenhouse plant growth and treatment, matched with the chemical characterization of both the green algae used and the lettuce plants. This work is meant to define a tool to be improved by more experiments and studies in order to suggest a sustainable method that could ensure an adequate use of organic fertilizer. After the identification of the best concentration of the respective extracts of C. vulgaris and U. lactuca, the experiment affirmed that a low concentration (15% C. vulgaris and 25% U. lactuca) of the extracts contributed to the production of plants with a satisfying nutritional profile, while a high concentration (75% U. lactuca) is conducive to lettuce production with some parameters not suitable for human diet and health.
A spatio-temporal fusion method based on Landsat and MODIS normalized vegetation index data

Abstract. Normalized difference vegetation index (NDVI) can simply and effectively reflect the growth status of plants, and has a linear relationship with vegetation coverage, thus it is an important indicator to identify vegetation growth status and coverage. However, the commonly used MODIS NDVI or Landsat NDVI cannot simultaneously achieve the high temporal and spatial resolution. To this end, we proposed a generic and automatic method to fuse MODIS and Landsat satellite vegetation index (NDVI) into daily high-resolution products which takes time series NDVI data from MODIS/Landsat as input, filters noise pixels, and generates high-resolution and high-frequency products through a fusion process of temporal-linearly interpolation to increase the temporal resolution and spatial filtering to alleviate the blocky artifacts from MODIS pixel border. The fused NDVI maps are visually compared to evaluate the performance of this method, and more quantitative assessment will be continued in the next step. This study can provide important support for large-scale long-term surface vegetation monitoring.
Current knowledges in pharmaconutrition: “Ketogenics” in pediatric gliomas

Brain tumors account for 20–25% of pediatric cancers. The most frequent type of brain tumor is Glioma from grade I to grade IV according to the rate of malignancy. Current treatments for gliomas use chemotherapy, radiotherapy, tyrosine kinase inhibitors, monoclonal antibodies and surgery, but each of the treatment strategies has several serious side effects. Therefore, to improve treatment efficacy, it is necessary to tailor therapies to patient and tumor characteristics, using appropriate molecular targets. An increasingly popular strategy is pharmaconutrition, which combines a tailored pharmacological treatment with a diet designed to synergize the effects of drugs. In this review we deal in the molecular mechanisms, the epigenetic effects and modulation of the oxidative stress pathway of ketogenic diets, that underlie its possible role, in the treatment of infantile gliomas, as a complementary approach to conventional cancer therapy.
Lung Cancer Detection Using Image Processing and Machine Learning HealthCare

Lung cancer is one of the significant reasons for death among India. Many diagnosis and detection of lungs cancer has been done using various data analysis and classification techniques. Since the cause of lung cancer stay obscure, prevention become impossible, thus early detection of tumor in lungs is the only way to cure lung cancer. Hence, lung cancer detection system using image processing and machine learning is used to classify the presence of lung cancer in a CT- images and blood samples. In spite of CT scan reports are more effective than Mammography, therefore patient CT scan images are categorized in normal and abnormal. The abnormal images are subjected to segmentation to focus on tumor portion. Classification done on features extracted from the images. The efficient method to detect the lung cancer and its stages successfully and also aim to have more accurate results by using SVM and Image Processing techniques.
Care theft: Family impacts of employer control in Australia's retail industry

Paid work promises pathways to financial security and wellbeing for families, yet variable scheduling and low pay can interfere with the routines and rhythms of family life, and contribute to caregiving challenges and stress. Using qualitative data from a survey of retail workers, this article shows how Australian employment policies have enabled flexibility practices to be strongly oriented around the needs of employers, reducing employees’ resources for care. We develop the concept of ‘care theft’ from employees’ accounts of the ways flexible scheduling and low pay converge to transform and deplete their temporal, financial and ethical resources for care. As an extension of ‘time theft’ and alternative to individualised notions of ‘work-family balance’, care theft helps make visible the ways employment practices strip resources for care from working people, and shift risk to low-income families and communities.
Editorial: Physical therapy in the treatment of skin diseases and its mechanism

COPYRIGHT © 2023 Hamblin, Yin and Jian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Physical therapy in the treatment of skin diseases and its mechanism
The Role of Hydrogen Sulfide (H2S) in Epigenetic Regulation of Neurodegenerative Diseases: A Systematic Review

This review explores the emerging role of hydrogen sulfide (H2S) in modulating epigenetic mechanisms involved in neurodegenerative diseases. Accumulating evidence has begun to elucidate the multifaceted ways in which H2S influences the epigenetic landscape and, subsequently, the progression of various neurodegenerative disorders, including Alzheimer’s, Parkinson’s, and Huntington’s disease. H2S can modulate key components of the epigenetic machinery, such as DNA methylation, histone modifications, and non-coding RNAs, impacting gene expression and cellular functions relevant to neuronal survival, inflammation, and synaptic plasticity. We synthesize recent research that positions H2S as an essential player within this intricate network, with the potential to open new therapeutic avenues for these currently incurable conditions. Despite significant progress, there remains a considerable gap in our understanding of the precise molecular mechanisms and the potential therapeutic implications of modulating H2S levels or its downstream targets. We conclude by identifying future directions for research aimed at exploiting the therapeutic potential of H2S in neurodegenerative diseases.
Propagating interface in reaction-diffusion equations with distributed delay

This article concerns the limiting behavior of the solution to a reaction-diffusion equation with distributed delay. We firstly consider the quasi-monotone situation and then investigate the non-monotone situation by constructing two auxiliary quasi-monotone equations. The limit behaviors of solutions of the equation can be obtained from the sandwich technique and the comparison principle of the Cauchy problem. It is proved that the propagation speed of the interface is equal to the minimum wave speed of the corresponding traveling waves. This makes possible to observe the minimum speed of traveling waves from a new perspective. For more information see https://ejde.math.txstate.edu/Volumes/2021/54/abstr.html