Miracle-dz/UniFAR-FTUs huggingface dataset:
A Metalanguage for Learning: Rebalancing the Cognitive with the Socio-Material

Technology has enabled new ways of meaning-making in the digital age, incidentally bringing with it inequities in education as a result of the differing access, resources, and experiences of students. These inequities may be rendered invisible if society and schools neither recognize, value nor set out to include in formal education the meaning-making practices from students’ lifeworlds. Such neglect can perpetuate the digital divide among students from diverse home backgrounds. The reform agenda of multiliteracies is to bring about educational justice through a pedagogy of access. In this paper, we discuss how this agenda can be operationalized in the frontline of education—the classroom. We propose a pedagogic metalanguage of transpositional grammar for the learning of multimodal literacy. “Transposition” refers to the process of moving between different forms of meaning (text, image, space, object, body, sound and speech), and changes of attention to their functions (reference, agency, structure, context and interest). In particular, we show the value of having a common shared conceptual framework with which to reflect upon and unpack multimodal meaning in terms of its forms and functions. We also describe how a repertoire of knowledge processes, rebalancing the cognitive and the socio-material, affective and embodied, can support teachers in their design for students’ multimodal literacy learning. We argue that attention to multimodal literacy in the curriculum, pedagogy, and assessment can be productively supported with a pedagogic metalanguage of transpositional grammar and discuss how this can be a step towards mediating the invisible inequities in education in the digital age.
Evaluation of multisource precipitation input for hydrological modeling in an alpine basin: a case study from the Yellow River Source Region (China)

Alpine basins are essential to the conservation of water resources. However, they are typically poorly gauged and inaccessible, owing to the harsh prevailing environment and complex terrain. To investigate the influences of different precipitation inputs on hydrological modeling in alpine basins, two representative satellite precipitation products [Tropical Rainfall Measuring Mission (TRMM) and Integrated Multi-Satellite Retrievals for GPM (IMERG)] and two reanalysis precipitation products [China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and Climate Forecast System Reanalysis (CFSR)] in the Yellow River Source Region (YRSR) were selected for evaluation and hydrological verification against gauge-observed data (GO). Results indicates that the accuracy of these precipitation products in the warm season is higher than that in the cold season, and IMERG has the best performance, followed by CMADS, CFSR, and TRMM. TRMM seriously overestimates high rainfall of greater than 10 mm/day. CFSR overestimates moderate precipitation events of 1–10 mm/d, while CMADS underestimates the effects of precipitation events of 1–20 mm/d. Models using the GO as input yielded satisfactory performance during 2008–2013, and precipitation products have poor simulation results. Although the model using IMERG as input yielded unsatisfactory performance during 2014–2016, this did not affect the use of IMERG as a potential data source for YRSR. After bias correction, the quality of CFSR improves significantly with R2 and NSE increasing by 0.25 and 0.31 at Tangnaihai station, respectively. Model driven by the combination of GO and CMADS precipitation performed the best in all scenarios (R2 = 0.77, NSE = 0.72 at Tangnaihai station; R2 = 0.53, NSE = 0.48 at Jimai station). These results can provide reference data, and research ideas, for improved hydrological modeling of alpine basins.
Survey on Digital Video Stabilization: Concepts, Methods, and Challenges

Digital video stabilization is a challenging task that aims to transform a potentially shaky video into a pleasant one by smoothing the camera trajectory. Despite the various works found in the literature addressing this task, their organization and analysis have not yet received much attention. In this work, we present a thorough review of the literature for video stabilization, organized according to a proposed taxonomy. A formal definition for the problem is introduced, along with a brief interpretation in physical terms. We also provide a comprehensive discussion on the main challenges and future trends for this active area.
Transcriptomic Response to Acidosis Reveals Its Contribution to Bone Metastasis in Breast Cancer Cells

Bone is the most common site of metastasis in breast cancer. Metastasis is promoted by acidosis, which is associated with osteoporosis. To investigate how acidosis could promote bone metastasis, we compared differentially expressed genes (DEGs) in MDA-MB-231 cancer cells in acidosis, bone metastasis, and bone metastatic tumors. The DEGs were identified using Biojupies and GEO2R. The expression profiles were assessed with Morpheus. The overlapping DEGs between acidosis and bone metastasis were compared to the bulk of the DEGs in terms of the most important genes and enriched terms using CytoHubba and STRING. The expression of the genes in this overlap filtered by secreted proteins was assessed in the osteoporosis secretome. The analysis revealed that acidosis-associated transcriptomic changes were more similar to bone metastasis than bone metastatic tumors. Extracellular matrix (ECM) organization would be the main biological process shared between acidosis and bone metastasis. The secretome genes upregulated in acidosis, bone metastasis, and osteoporosis-associated mesenchymal stem cells are enriched for ECM organization and angiogenesis. Therefore, acidosis may be more important in the metastatic niche than in the primary tumor. Acidosis may contribute to bone metastasis by promoting ECM organization. Untreated osteoporosis could favor bone metastasis through the increased secretion of ECM organization proteins.
Performance Prediction of a Reconfigurable Resonator for Chipless RFID Tags

A silicon optical switching has been applied to design a reconfigurable spiral resonator to be used in RFID chipless tags. The incidence of suitable wavelength light on the switching changes from conductive to dielectric its electrical properties. A multiresonator has an owner spectral signature defined by a set of bits 0 and 1 from each single resonator. In this work, the state of each resonator can be at resonance or non-resonance according to the optical switching allowing the reconfiguration of the whole system. Therefore, the reconfiguration based on optical switching can be performed many times allowing us to increase the number of access state of the tag. The approach is shown through a theoretical model for the characterization of silicon substrate behavior on light incidence. The validation of the system operation is performed using electromagnetic simulations in HFSS.
Neurodegenerative Disease-Associated TDP-43 Fragments Are Extracellularly Secreted with CASA Complex Proteins

Extracellular vesicles (EVs) play a central role in neurodegenerative diseases (NDs) since they may either spread the pathology or contribute to the intracellular protein quality control (PQC) system for the cellular clearance of NDs-associated proteins. Here, we investigated the crosstalk between large (LVs) and small (SVs) EVs and PQC in the disposal of TDP-43 and its FTLD and ALS-associated C-terminal fragments (TDP-35 and TDP-25). By taking advantage of neuronal cells (NSC-34 cells), we demonstrated that both EVs types, but particularly LVs, contained TDP-43, TDP-35 and TDP-25. When the PQC system was inhibited, as it occurs in NDs, we found that TDP-35 and TDP-25 secretion via EVs increased. In line with this observation, we specifically detected TDP-35 in EVs derived from plasma of FTLD patients. Moreover, we demonstrated that both neuronal and plasma-derived EVs transported components of the chaperone-assisted selective autophagy (CASA) complex (HSP70, BAG3 and HSPB8). Neuronal EVs also contained the autophagy-related MAP1LC3B-II protein. Notably, we found that, under PQC inhibition, HSPB8, BAG3 and MAP1LC3B-II secretion paralleled that of TDP-43 species. Taken together, our data highlight the role of EVs, particularly of LVs, in the disposal of disease-associated TDP-43 species, and suggest a possible new role for the CASA complex in NDs.
Magnesium Modified β-Tricalcium Phosphate Induces Cell Osteogenic Differentiation In Vitro and Bone Regeneration In Vivo

In vitro, in vivo, and clinical studies have shown how the physicochemical and biological properties of β-tricalcium phosphate (β-TCP) work in bone regeneration. This study aimed to improve the properties of β-TCP by achieving optimum surface and bulk β-TCP chemical/physical properties through the hydrothermal addition of magnesium (Mg) and to later establish the biocompatibility of β-TCP/Mg for bone grafting and tissue engineering treatments. Multiple in vitro and in vivo analyses were used to complete β-TCP/Mg physicochemical and biological characterization. The addition of MgO brought about a modest rise in the number of β-TCP surface particles, indicating improvements in alkaline phosphatase (ALP) activity on day 21 (p < 0.05) and in the WST-1assay on all days (p < 0.05), with a corresponding increase in the upregulation of ALP and bone sialoprotein. SEM analyses stated that the surfaces of the β-TCP particles were not altered after the addition of Mg. Micro-CT and histomorphometric analysis from rabbit calvaria critical defects resulted in β-TCP/Mg managing to reform more new bone than the control defects and β-TCP control at 2, 6, and 8 weeks (* p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001, and **** p ≤ 0.0001). The hydrothermal addition of MgO to the β-TCP surfaces ameliorated its biocompatibility without altering its surface roughness resulting from the elemental composition while enhancing cell viability and proliferation, inducing more bone regeneration by osteoconduction in vivo and osteoblastic differentiation in vitro.
Beyond Soil-Dwelling Actinobacteria: Fantastic Antibiotics and Where to Find Them

Bacterial secondary metabolites represent an invaluable source of bioactive molecules for the pharmaceutical and agrochemical industries. Although screening campaigns for the discovery of new compounds have traditionally been strongly biased towards the study of soil-dwelling Actinobacteria, the current antibiotic resistance and discovery crisis has brought a considerable amount of attention to the study of previously neglected bacterial sources of secondary metabolites. The development and application of new screening, sequencing, genetic manipulation, cultivation and bioinformatic techniques have revealed several other groups of bacteria as producers of striking chemical novelty. Biosynthetic machineries evolved from independent taxonomic origins and under completely different ecological requirements and selective pressures are responsible for these structural innovations. In this review, we summarize the most important discoveries related to secondary metabolites from alternative bacterial sources, trying to provide the reader with a broad perspective on how technical novelties have facilitated the access to the bacterial metabolic dark matter.
Application Prospect of Protein-Glutaminase in the Development of Plant-Based Protein Foods

Plant-based protein foods as suitable alternative protein sources have recently received increased global interest. The scientific community is exploring effective modification approaches to enhance the functionality of plant-based proteins for expanded utilization. Deamidation has shown great potential for structural modifications and improving the processing efficiency of proteins. In this review, we firstly revisit the enzyme reaction mechanism of protein-glutaminase and its fundamental differences from other enzymatic methods for the deamidation of proteins. Then, the latest advances regarding the suitability of protein-glutaminase modifications for improving the functional properties (e.g., solubility, emulsifying and foaming properties, flavor, and reduction in allergenicity) of plant-based proteins are overviewed. Finally, we address the potential prospect associated with the use of protein-glutaminase in plant-based protein foods, such as meat, dairy, and egg alternatives. This review provides a novel perspective for the design of plant-based protein foods by using protein-glutaminase in order to match animal counterparts in taste and texture, and to fuel widespread adoption.
Heterogeneous data‐based spatiotemporal trajectory synchronization for virtual–real interactive testing

Virtual–real interactive testing (VRIT) is a practical approach to assessing the safety and intelligence of connected vehicles. Under this testing scheme, state consistency between physical and virtual spaces must be guaranteed. This paper proposes a multispace synchronization framework to ensure the desired interactive performance of VRIT systems. According to this framework, the synchronization process is decomposed into tracking and extensional periods. In addition, the heterogeneous data collected from physical and virtual spaces are divided into three layers. Each layer has a specific priority in the generation of the tracking trajectory. Furthermore, an extensional trajectory is integrated based on the proposed filtering mechanism, which improves the synchronization accuracy under high latency conditions. Finally, numerical experiments are conducted to demonstrate the superiority of the proposed method and to illustrate how the key parameters affect the system performance.
How to Stop the Next Pandemic; Approach that Aims to Prevent the Emergence and Spread of Novel Pathogens

Introduction and Origin of Emerging Infections Forty (40) years ago, the World Health Organization officially declared the smallpox eradicated at the 33rd World health assembly in May 1980 [1]. The lessons learnt from that victory such as the use of new technology and international cooperation amongst others have aided in the fight against other infectious diseases and can also help us in the fight against emerging infections. Infectious diseases remain amongst the leading causes of death worldwide and particularly in sub-Saharan Africa [2]. New infections emerge periodically and contribute significantly to the global burden of disease morbidity and mortality [3,4]. Majority of these emerging infections are especially of viral but also bacterial origin [5]. About half of pathogenic microorganisms found in wildlife and livestock are zoonotic [5-7]. Most pandemics known to humans originated from animal species, wildlife, domestic animals and livestock [5]. Animal species thus serve as reservoirs of pathogens that can potentially threaten the existence of the human race [8].
The role of colloidal particles on the migration of air bubbles in porous media

The Role of Colloidal Particles on the Migration of Air Bubbles in Porous Media. (December 2007) Ji-Seok Han, B.S, Korea University; M.S, Texas A&M University Chair of Advisory Committee: Dr. M. Yavuz Corapcioglu The contamination of groundwater and soils has been a big issue of great interest and importance to human health. When organic compounds from leaking underground storage tanks or accidental spills on the surface infiltrate into the subsurface environment, they migrate downward through the unsaturated zone. These contaminants are dissolved into groundwater and move with groundwater flow. Thus, there is a need for remediation technologies. Air sparging is relatively cost-effective, as well as an efficient and safe technique for recovering organic contaminants in the subsurface. This technique introduces air into the subsurface system to enhance the volatilization and bioremediation of the contaminant in the groundwater system. In this operating system, the movement of air phase can take place either as a continuous air phase or as discrete air bubbles. However, the present research focused on continuous air phase assumption and mass balance equations of individual phases rather than taking into account the movement of air bubbles and colloidal particle capture on discrete airwater interface.
Vibrant North-West India: SWOT Analysis of Delhi-Mumbai Industrial Corridor

Industrial Corridors recognize the inter-dependence of various sectors of the economy and offer effective integration between industry and infrastructure leading to overall economic and social development. Present study was analyzed strength, weakness, opportunities and threats of proposed Delhi-Mumbai Industrial corridor. Other objective was to analyze various factors responsible for industrial as well as economic development of India with reference to Delhi-Mumbai industrial corridor. Analysis of the study shows that industrial corridors constitute world class infrastructure such as high-speed transportation (rail, road) network, ports with state-of- the-art cargo handling equipment, modern airports, special economic regions/ industrial areas, logistic parks/ hubs, knowledge parks focused on feeding industrial needs, complementary infrastructure such as townships/ real estate, and other urban infrastructure along with enabling policy framework. Industrial corridor provides opportunities for private sector investment in the provision of various infrastructure projects associated with the exploitation industrial opportunity. It is concluded that Delhi-Mumbai industrial corridor will help to the industrial development as well economic development of India.
Ammonium to Total Nitrogen Ratio Interactive Effects with Salinity Application on Solanum lycopersicum Growth, Physiology, and Fruit Storage in a Closed Hydroponic System

Using high-salinity water for plant fertigation may have negative consequences for plant growth, overall yield and crop quality. In the present study, the effects of NaCl-salinity in conjunction with three different ammonium to nitrate ratios (Nr) on tomato (Solanum lycopersicum Mill.) plant growth, nutritional status, yield, fruit quality and postharvest storage were examined. The electrical conductivity (EC) was increased by adding NaCl into the nutrient solution and three different Nr ratios were applied, Nr0.05, Nr0.10 and Nr0.15, while the other macronutrient and micronutrient concentrations were constant in all treatments. The EC of the nutrient solution supplied to the plants was 2.2 mS cm−1 at the low salinity treatments and 7.5 mS cm−1 at the high salinity treatments. Increased salinity resulted in decreased plant growth factors and fruit yield, despite the Nr. An increased Nr reduced the pH value of the nutrient solution, while the fruits of the plants cultivated under high salinity obtained reduced Ca, K, Mg, P and N content. Reduced Ca content can lead to blossom end rot disorder and this was evidenced on tomato cultivation under high salinity. However, in the present study, this disorder appeared at the very late stages and did not affect the marketability of the fruits. On the other hand, both salinity and Nr0.15 increased fruit firmness at harvest or following storage, while citric acid, total soluble solid and vitamin C contents were also increased by salinity. Total phenols were increased by salinity at harvest, and lycopene and β-carotene content were increased by salinity at harvest and/or following storage at 12 °C or 25 °C. Salinity enhances fruit quality and improves the organoleptic characteristics of the crop, while an appropriate Nr ratio may restrict the detrimental effects of salinity on the nutritional status of plants by regulating the pH in hydroponic systems.
Chronic Inflammation as the Underlying Mechanism of the Development of Lung Diseases in Psoriasis: A Systematic Review

Psoriasis is a systemic inflammatory disease caused by dysfunctional interactions between the innate and adaptive immune responses. The systemic inflammation in psoriasis may be associated with the development of comorbidities, including lung diseases. In this review, we aimed to provide a summary of the evidence regarding the prevalence of lung diseases in patients with psoriasis and the potential underlying mechanisms. Twenty-three articles published between March 2010 and June 2021 were selected from 195 initially identified records. The findings are discussed in terms of the prevalence of asthma, chronic obstructive pulmonary disease, interstitial lung disease, obstructive sleep apnea, pulmonary hypertension, and sarcoidosis in psoriasis. A higher prevalence of lung diseases in psoriasis has been confirmed in asthma, chronic obstructive pulmonary disease, obstructive sleep apnea, and pulmonary hypertension. These conditions are important as they are previously unrecognized causes of morbidity and mortality in psoriasis. The development of lung diseases in patients with psoriasis can be explained by several mechanisms, including common risk factors, shared immune and molecular characteristics associated with chronic inflammation, as well as other mechanisms. Understanding the prevalence of lung diseases in psoriasis and their underlying mechanisms can help implement appropriate preventative and therapeutic strategies to address respiratory diseases in patients with psoriasis.
Hierarchical Optimization Algorithm and Applications of Spacecraft Trajectory Optimization

The pursuit of excellent performance in meta-heuristic algorithms has led to a myriad of extensive and profound research and achievements. Notably, many space mission planning problems are solved with the help of meta-heuristic algorithms, and relevant studies continue to appear. This paper introduces a hierarchical optimization frame in which two types of particles—B-particles and S-particles—synergistically search for the optima. Global exploration relies on B-particles, whose motional direction and step length are designed independently. S-particles are for fine local exploitation near the current best B-particle. Two specific algorithms are designed according to this frame. New variants of classical benchmark functions are used to better test the proposed algorithms. Furthermore, two spacecraft trajectory optimization problems, spacecraft multi-impulse orbit transfer and the pursuit-evasion game of two spacecraft, are employed to examine the applicability of the proposed algorithms. The simulation results indicate that the hierarchical optimization algorithms perform well on given trials and have great potential for space mission planning.
Integral Methodology for the Multiphysics Design of An Automotive Eddy Current Damper

The present work reports an integrated (experimental and numerical) methodology that combines the development of a finite element multiphysics model with an experimental strategy to optimally design an eddy current damper for automotive suspensions. The multiphysics model couples the whole set of time-dependent electromagnetic, thermal, mechanical, and fluid–wall interaction (CFD) partial differential equations. The developed FE model was validated against both literature model predictions and in-house experimental data. The electromagnetic model takes into account the magnetic material characteristics of the ferromagnetic material and iron poles. Loss separation and the Jiles–Atherton hysteresis models were invoked to determine the heat generated in the soft iron parts. The computation of the fluid–wall interaction phenomena in the air gap allowed for the prediction of the temperature field across the solid materials, including the magnets. The design of the EC damper addresses the effects of the geometries of the stator and rotor, as they are the most critical geometries for maximizing the functions of an eddy current damper. The magneto-thermal simulations suggested that the heating of the permanent magnets remains within a safe region over the investigated operational frequency range of the eddy current damper.