Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis of a Two-Dimensional Molybdenum Disulfide Nanosheet and Ultrasensitive Trapping of Staphylococcus Aureus for Enhanced Photothermal and Antibacterial Wound-Healing Therapy

Photothermal therapy has been widely used in the treatment of bacterial infections. However, the short photothermal effective radius of conventional nano-photothermal agents makes it difficult to achieve effective photothermal antibacterial activity. Therefore, improving composite targeting can significantly inhibit bacterial growth. We inhibited the growth of Staphylococcus aureus (S. aureus) by using an extremely low concentration of vancomycin (Van) and applied photothermal therapy with molybdenum disulfide (MoS2). This simple method used chitosan (CS) to synthesize fluorescein 5(6)-isothiocyanate (FITC)-labeled and Van-loaded MoS2-nanosheet hydrogels (MoS2-Van-FITC@CS). After modifying the surface, an extremely low concentration of Van could inhibit bacterial growth by trapping bacteria synergistically with the photothermal effects of MoS2, while FITC labeled bacteria and chitosan hydrogels promoted wound healing. The results showed that MoS2-Van-FITC@CS nanosheets had a thickness of approximately 30 nm, indicating the successful synthesis of the nanosheets. The vitro antibacterial results showed that MoS2-Van-FITC with near-infrared irradiation significantly inhibited S. aureus growth, reaching an inhibition rate of 94.5% at nanoparticle concentrations of up to 100 µg/mL. Furthermore, MoS2-Van-FITC@CS could exert a healing effect on wounds in mice. Our results demonstrate that MoS2-Van-FITC@CS is biocompatible and can be used as a wound-healing agent.
POINT CLOUD ACQUISITION TECHNIQUES BY USING SCANNING LIDAR FOR 3D MODELLING AND MOBILE MEASUREMENT

Abstract. Laser scanners collect three-dimensional spatial data of an imaging area in a very short time with high point density. The laser scanners can be classified by different aspects, such as multi beam, single beam, spinning, solid state, single or multi returns, short or long range, and field of view angle. The mapping industry usually looks for range, accuracy, point density, and measurement speed higher while cost, error, energy consumption and weight lower instruments. Particularly, developments in LiDAR photon imaging techniques have enabled laser scanning to be used in three-dimensional modelling, motion detection, autonomous vehicle and mobile measurement. The distance from the instrument to the scan point is measured by the pulse or phase-shift method in laser scanners. The scan beam is directed at a certain angle so that the imaging area can be measured in arrays of points. The orientation of the beam is provided as mechanically in some scanners, and by an opto-electronic mechanism in others. Moreover, some scanners use multiple 2D LiDAR planes for three-dimensional scanning. A mobile three-dimensional measurement can be performed by using multi-beam scanners integrated with the other related sensors. The high performance of the scanners is possible with knowing their measurement properties and technical specifications. In this study, LiDAR techniques, that perform scanning measurements by oriented beam, were investigated and their technical features were examined.
Optimization of the Rheological Properties of Self-Assembled Tripeptide/Alginate/Cellulose Hydrogels for 3D Printing

3D printing is an emerging and powerful technique to create shape-defined three-dimensional structures for tissue engineering applications. Herein, different alginate–cellulose formulations were optimized to be used as printable inks. Alginate (Alg) was chosen as the main component of the scaffold due to its tunable mechanical properties, rapid gelation, and non-toxicity, whereas microcrystalline cellulose (MCC) was added to the hydrogel to modulate its mechanical properties for printing. Additionally, Fmoc-FFY (Fmoc: 9-fluorenylmethoxycarbonyl; F: phenylalanine; Y: tyrosine), a self-assembled peptide that promotes cell adhesion was incorporated into the ink without modifying its rheological properties and shear-thinning behavior. Then, 3D-printed scaffolds made of Alg, 40% of MCC inks and Fmoc-FFY peptide were characterized by scanning electron microscopy and infrared spectroscopy, confirming the morphological microstructure of the hydrogel scaffolds with edged particles of MCC homogeneously distributed within the alginate matrix and the self-assembly of the peptide in a β-sheet conformation. Finally, the cytocompatibility of the scaffolds was tested in contact with the MG63 osteosarcoma cells, confirming the absence of cytotoxic components that may compromise their viability. Interestingly, MG63 cell growth was retarded in the scaffolds containing the peptide, but cells were more likely to promote adhesive interactions with the material rather than with the other cells, indicating the benefits of the peptide in promoting biological functionality to alginate-based biomaterials.
Modeling and Mapping Habitat Suitability of Highland Bamboo under Climate Change in Ethiopia

Highland bamboo (Oldeania alpina formerly Arundinaria alpina or Yushania alpina) is a species of significant conservation value in Afromontane ecosystems across Africa. It also plays a significant role in the livelihoods of local communities. However, global climate change is anticipated to alter its ecological niche, leading to range shifts and possible habitat contractions. This study aimed to identify potentially suitable habitats for highland bamboo in Ethiopia, determine the resilience of the species under climate change, and establish the environmental factors affecting its habitat. Species distribution modeling (SDM) was implemented in the SDM R package using 231 georeferenced presence records together with climate, topographic, and soil data. To assess climate change risks to the species, predictive models were developed assuming climate scenarios for 2061–2080 under two shared socio-economic pathways (SSPs), namely, SSP2-45 and SSP5-85. The results indicated that highland bamboo mainly grows in high elevation areas with altitudes of 2100–3100 m asl with mean annual temperatures of 11.5–19.3 °C, annual precipitation of 873–1962 mm, precipitation of the driest quarter of 36–147 mm, soil pH of 5.6, and soil CEC of 30.7 cmolc/kg. The current potentially suitable habitat for this species in Ethiopia was estimated at 61,831.58 km2, with the majority of habitats being in the southern and southwestern parts of the country. Our models predicted that the suitable habitat will shrink by 13.4% under the SSP5-85 scenario, while potential new suitable areas for this species were identified under the SSP2-45 scenario. Future vulnerable areas were mostly found in central Ethiopia. Based on the predictions, we conclude that most of the suitable habitats for highland bamboo will remain suitable between the years 2061 and 2080.
Digital Patient Experience: Umbrella Systematic Review

Background The adoption and use of technology have significantly changed health care delivery. Patient experience has become a significant factor in the entire spectrum of patient-centered health care delivery. Digital health facilitates further improvement and empowerment of patient experiences. Therefore, the design of digital health is served by insights into the barriers to and facilitators of digital patient experience (PEx). Objective This study aimed to systematically review the influencing factors and design considerations of PEx in digital health from the literature and generate design guidelines for further improvement of PEx in digital health. Methods We performed an umbrella systematic review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. We searched Scopus, PubMed, and Web of Science databases. Two rounds of small random sampling (20%) were independently reviewed by 2 reviewers who evaluated the eligibility of the articles against the selection criteria. Two-round interrater reliability was assessed using the Fleiss-Cohen coefficient (k1=0.88 and k2=0.80). Thematic analysis was applied to analyze the extracted data based on a small set of a priori categories. Results The search yielded 173 records, of which 45 (26%) were selected for data analysis. Findings and conclusions showed a great diversity; most studies presented a set of themes (19/45, 42%) or descriptive information only (16/45, 36%). The digital PEx–related influencing factors were classified into 9 categories: patient capability, patient opportunity, patient motivation, intervention technology, intervention functionality, intervention interaction design, organizational environment, physical environment, and social environment. These can have three types of impacts: positive, negative, or double edged. We captured 4 design constructs (personalization, information, navigation, and visualization) and 3 design methods (human-centered or user-centered design, co-design or participatory design, and inclusive design) as design considerations. Conclusions We propose the following definition for digital PEx: “Digital patient experience is the sum of all interactions affected by a patient’s behavioral determinants, framed by digital technologies, and shaped by organizational culture, that influence patient perceptions across the continuum of care channeling digital health. ” In this study, we constructed a design and evaluation framework that contains 4 phases—define design, define evaluation, design ideation, and design evaluation—and 9 design guidelines to help digital health designers and developers address digital PEx throughout the entire design process. Finally, our review suggests 6 directions for future digital PEx–related research.
The Microbial Retting Environment of Hibiscus Cannabinus and Its Implications in Broader Applications

Fiber-yielding plants is an area of increased interest due to the potential use in a variety of green-based materials. These biocomposites can be incorporated into multiple uses; for example, to replace building materials and interior vehicular paneling. The research here aims to focus in on the crop Hibiscus cannabinus for utilization into these functions. H. cannabinus is economically attractive due to the entire process being able to be accomplished here in the United States. The plant can be grown in a relatively short growth period (120-180 days), and then processed and incorporated in a biocomposite. The plant fiber must first be broken down into a useable medium. This is accomplished by the retting process, which occurs when microbial constituents breakdown the heteropolysaccharides releasing the fiber. The research aims to bridge the gap between the primitive process of retting and current techniques in molecular and microbiology. Utilizing a classical microbiological approach, which entailed enrichment and isolation of pectinase-producing bacteria for downstream use in augmented microbial retting experiments. The tracking of the bacteria was accomplished by using the 16S rRNA which acts as “barcodes” for bacteria. Next-generation sequencing can then provide data from each environment telling the composition and microbial diversity of each tested variable. The main environments tested are: a natural environment, organisms contributed by the plant material solely, and an augmented version in which pectinase-producing bacteria are added. In addition, a time-course experiment was performed on the augmented environment providing data of the shift to an anaerobic environment. Lastly, a drop-in set was performed using each isolate separately to determine which contributes to the shift in microbial organization. This research provided a much needed modernization of the retting technique. Previous studies have been subject to simple clone libraries and growth plate assays and next-generation sequencing will bring the understanding of microbial retting into the 21st century.
The spatial implications of living in an extended household based on the socio-cultural values of kinship in Balikpapan, Indonesia

There is a recent focus on households as residential units but most of the studies conducted rely on demographic and economic perspectives using economic value maximization schemes. The research on the household is considered necessary due to its close relation to family and kinship issues observed in different aspects of life and based on societal diversity associated with certain socio-cultural values. This is most important in Asia, including Indonesia, where extended families and households are regarded as ideal. Therefore, this study was conducted to understand the significance of socio-cultural values ​​on the spatial living implications in extended households using qualitative methods, especially ethnography, which involved targeted informants, interviews, and observations. The results showed that the socio-cultural values ​​held by the members of the household are based on the definition of kinship as a valuable bond, desire to share, cooperation, as well as the acceptance and sustenance of tradition. Moreover, the spatial arrangement concerning the allocation, use, and access to rooms based on gender in an extended family was observed to be identical to those in a nuclear family. Meanwhile, additional members are allowed to use different rooms in the house and also to interact with hosts.
COMBINING UNMANNED AERIAL SYSTEMS AND STRUCTURE FROM MOTION PHOTOGRAMMETRY TO RECONSTRUCT THE GEOMETRY OF GROINS

Abstract. In the context of coastal environment, the combined use of Unmanned Aerial Systems (UAS) with Structure-from-Motion (SfM) photogrammetry has been demonstrated to be a suitable tool to collect accurate geoinformation. This work aims at investigating the effectiveness of UAS survey to accurately map the geometry of rouble mound groins for monitoring the structural integrity. A set of nadiral images was processed through SfM photogrammetry to obtain the Digital Surface Model (DSM) of the groin. The DSM accuracy was evaluated through the comparison of five profiles measured by the traditional GNSS technique. Overall, vertical accuracy returned a root mean square error of 2.6 cm. The results suggest that UAS combined with SfM photogrammetry can improve the current monitoring of coastal engineering structures by providing high accurate geospatial products.
MULTI-CAMERA GEOMETRIC CALIBRATION: PRE-CALIBRATION AND ON-THE-JOB CALIBRATION OF THE MAIA MULTISPECTRAL SYSTEM

Abstract. Though with a less dramatic growth compared to photogrammetry, remote sensing from multispectral imagery taken by UAV (Unmanned Aerial Vehicles) platforms is applied to vegetation health monitoring, crop management, water quality assessments, geological inspections and much more, with a sizeable number of multispectral cameras now available on the market. As for satellite images, a key point in remote sensing is calibration, both geometric and radiometric, and the modelling of disturbances, to get well co-registered reflectance data. Leaving aside radiometric calibration, this paper focuses on how to best georeference the different bands one with respect to the other. This is normally achieved by the so-called band-to-band registration (BBR). Here, a straightforward approach is proposed, that exploits the multi-camera geometry and, unlike BBR, all the information contents of the bands, as inter-band matches are searched (and possibly found) for every pair of bands and not only between a reference and a slave band. Tests on images taken with the 9-band MAIA S2 camera are presented, discussing the pro and cons of pre-calibration and on-the-job calibration of the camera parameters of each sensor. The results found show that the proposed method is at least as good as the BBR ones.
DEVELOPMENT OF STEEL AS ANTI-BALLISTIC COMBAT VEHICLE MATERIAL: REVIEW

The use of steel (armor) in military vehicle designs is increasingly dominating and is predicted to continue to increase in the future as research and material engineering are carried out. This is a necessity considering that armored military vehicles must be required to have high anti-ballistic capabilities, but on the other hand, of course, still have agility in maneuvering on the operating field. Optimal ballistic performance is closely related to material strength, material constituent content, material hardness and high strain rate behavior of materials used in military vehicles. Currently, the most widely used armor materials are RHA (Rolled Homogeneous Armor) and High Hardness Steel (HB 550). RHA itself is often used for armored vehicles because of its ability to absorb and deflect kinetic energy from ammunition / ballistics. This right is because RHA is a homogeneous plate that has the same hardness and structure throughout because it involves a new process called rolling. Meanwhile, HB 550 is known to have a fine grain microstructure, high level of hardness and toughness obtained from the alloying process of two types of steel, namely high strength low alloy steel (HSLA) and wootz steel and followed by quenching technology. From the results of studies and literature reviews, it is known that in RHA steel, ballistic resistance is closely related to the adiabatic shear band transformation due to softening and thermal strain associated with the collision moment that occurs. While on the HB 550, it is recommended that the minimum thickness value of the plate to produce an optimal level of ballistic protection is 14.5 mm for the FB7 and 13 mm for the 7.62 mm AP bullet.
Ameliorative effect of coenzyme Q10 against deltamethrin-induced renal toxicity in broiler chickens

Keywords The ameliorating effect of Coenzyme Q10 (CoQ10) supplementation was evaluated on broiler chickens intoxicated with deltamethrin (DM) through serum biochemical analysis, antioxidant capacity, and pathological examination. Cobb broiler chicks (60) aged 1 day were allocated into 4 experimental equal groups. For each group, three replicates of 5 chicks were used. The first group (control) received only the basal diet, the second group received CoQ10 (40 mg/kg diet), the third group received DM (300 mg/kg diet), and the fourth group received both DM (300 mg/kg diet) and CoQ10 (40 mg/kg diet). The experimental period was 35 days has been given to the last 3 groups. DM intoxication was associated with significant increases in creatinine, urea, malondialdehyde (MDA), and a drop in levels of reduced glutathione (GSH) and superoxide dismutase (SOD). In addition, DM increased blood cholesterol, triacylglycerols, and low-density lipoprotein (LDL), while lowered high-density lipoprotein (HDL). Caspase-3 and B cell lymphoma 2 ( BCl2 ) were substantially unregulated by DM in the kidney tissues. The microscopic examination of the kidneys revealed congestion of the renal blood vessels with necrosis of the lining epithelium of the renal tubules. Concurrent supplementation of CoQ10 with DM resulted in a notable improvement in estimated parameters compared to the DM group. Dietary CoQ10 is therefore advised because of its preventive properties against DM-induced renal toxicity in broilers.
Application of reinforcement learning to RC helicopter control

A reinforcement learning system composed of a radial basis function neural network trained by actor-critic algorithm is applied to control a small radio-controlled helicopter, which is difficult since the helicopter is very sensitive to small turbulence. As a first step, we construct a simple but enough rich simulator of the target helicopter and train the learning system with it. It acquires a sensitive controlling policy for simple task after a sufficient training. We apply the same system for the real world validation in the future. It is expected the reinforcement learning system can adapt to real one with less efforts after initial training in the computer simulation.
AUTOMATIC IMAGE-BASED 3D RECONSTRUCTION STRATEGIES FOR HIGH-FIDELITY URBAN MODELS – COMPARISON AND FUSION OF UAV AND MOBILE MAPPING IMAGERY FOR URBAN DESIGN STUDIES

Abstract. Modelling environments for urban projects often involve virtual reconstructions of existing urban areas where generalised city models are not sufficient. The use of photogrammetry with aerial imagery from UAVs on the one hand, and imagery from street-level mobile mapping systems on the other, has advanced significantly in recent years. However, there are limitations when these two imagery types are used separately.The main contribution of this paper is an end-to-end solution for creating large-scale and complex reality-based mesh models of urban environments. We outline a novel image-based 3D reality capturing process by combining street-level imagery from a backpack multi-camera mobile mapping system and nadir and oblique UAV imagery. This reconstruction is based on dense multi-view image matching method. A use case is presented with a goal to reconstruct an area for an urban project which aims to introduce an elevated cycle highway to facilitate traffic. The investigated area has a size of 0.64 square kilometres and is in the city of Basel in Switzerland. The MMS and UAV images were all oriented in a single photogrammetric project. Several reconstructions with different configurations were investigated and the results of the successful reconstruction with a geometric accuracy of a few cm are presented.
Strengthening Nutrition Knowledge of Pregnant Women Through Nutrition Education During Public Health Emergencies

Proper maternal nutrition evidently results in good pregnancy outcomes both for the mother and born infant. However, the process leading to good nutrition during pregnancy remains a challenge most especially during public health emergencies, such as the COVID-19 pandemic, which brought limitations on access to a variety of foods as well as nutrition services. Thus, nutrition education through the provision of contextualized information, education and communication (IEC) materials was explored as an alternative delivery strategy. The delivery strategy aims to increase the number of pregnant women in Barangay Palanan, Makati City, Philippines who have adequate nutrition knowledge through IEC materials-based nutrition education that is contextualized during public health emergencies. As an outcome, the delivery strategy intends to increase the number of pregnant women who have normal nutritional status as determined by weight per month of pregnancy. Results in determining the adequacy of nutrition knowledge through pre- and post-testing show that there is a 10% increase in the passing rate from 59% at baseline to 69% at endline. From the number of pregnant women who have taken the post-test, a remarkable 52% have either post-test scores that are maintained or improved. Meanwhile, for pregnant women who have normal nutritional status, an increase of 5% was seen given by 46% at baseline to 51% at endline. Ultimately, IEC materials-based nutrition education may serve as a supplementary approach in the continuous provision of nutrition services to attain good nutrition of pregnant women amid the COVID-19 pandemic.