Miracle-dz/UniFAR-FTUs huggingface dataset:
Perspectives on the Current State of Bioprinted Skin Substitutes for Wound Healing

Human skin is particularly vulnerable to external damaging influences such as irradiation, extreme temperatures, chemical trauma, and certain systemic diseases, which reduce the skin’s capacity for regeneration and restoration and can possibly lead to large-scale skin defects. To restore skin continuity in severe cases, surgical interventions such as the transplantation of autologous tissue are needed. Nevertheless, the coverage of larger skin defects caused by severe third-grade burns or extensive irradiation therapy is limited due to the depletion of uninjured autologous tissue. In such cases, many of the patient’s epidermal cells can become available using biofabricated skin grafts, thereby restoring the skin’s vital functions. Given the limited availability of autologous skin grafts for restoring integrity in large-scale defects, using bioprinted constructs as skin graft substitutes could offer an encouraging therapeutic alternative to conventional therapies for large-scale wounds, such as the transplantation of autologous tissue. Using layer-by-layer aggregation or volumetric bioprinting, inkjet bioprinting, laser-assisted bioprinting, or extrusion-based bioprinting, skin cells are deposited in a desired pattern. The resulting constructs may be used as skin graft substitutes to accelerate wound healing and reconstitute the physiological functions of the skin. In this review, we aimed to elucidate the current state of bioprinting within the context of skin tissue engineering and introduce and discuss different bioprinting techniques, possible approaches and materials, commonly used cell types, and strategies for graft vascularization for the production of bioprinted constructs for use as skin graft substitutes.
Suppressing Dendrite Growth with Eco-Friendly Sodium Lignosulfonate Additive in Quasi-Solid-State Li Metal Battery

The application of lithium metal batteries is limited by the drawbacks of safety problems and Li dendrite formation. Quasi-solid-state electrolytes (QSSEs) are the most promising alternatives to commercial liquid electrolytes due to their high safety and great compatibility with electrodes. However, Li dendrite formation and the slow Li+ diffusion in QSSEs severely hinder uniform Li deposition, thus leading to Li dendrite growth and short circuits. Herein, an eco-friendly and low-cost sodium lignosulfonate (LSS)-assisted PVDF-based QSSE is proposed to induce uniform Li deposition and inhibit Li dendrite growth. Li symmetric cells with 5%-LSS QSSE possess a high Li+ transfer number of 0.79, and they exhibit a long cycle life of 1000 h at a current density/areal capacity of 1 mA cm−2/5 mAh cm−2. Moreover, due to the fast electrochemical dynamics endowed by the improved compatibility of the electrodes and fast Li+ diffusion, the LFP/5%-LSS/Li full cells still maintain a high capacity of 110 mAh g−1 after 250 cycles at 6C. This work provides a novel and promising choice that uses eco-friendly LSS as an additive to PVDF-based QSSE in Li metal batteries.
Ferns Species Diversity in the Sekar Pudak Sari Waterfall Tourism Area, Wonosalam District, Jombang Regency, East Java, Indonesia

Ferns are significantly dominant in Indonesia. The waterfall area is one of the ferns habitats. This study aims to determine the diversity index of ferns species in the Tourism Area of Sekar Pudak Sari Waterfall Wonosalam District, Jombang Regency, East Java. This research was exploratory, descriptive. Data collection uses a single plot measuring 20x20 m at 500 masl, 700 masl, and 900 masl. Each observation plot has a sub-plot with a size of 2x2 m. Data analysis used the Shannon-Wiener diversity index (H'), the taxonomic diversity index (Δ), and dominance (Δ*). The exploration results found 28 species from 11 families, 6 epiphytes, and the rest terrestrial. The taxonomic diversity index in plot 1 was 23.36 (low category), while plots 2 and 3 were 30.58 and 31.66 (medium category). This shows that the environment in the three plots is classified as stable, as indicated by the presence of ferns at various taxonomic levels. The highest dominance diversity index (Δ*) was 2.8 in Plot 2, while Plots 1 and 3 were 2.7 (low category). The total number of individual ferns found influenced the difference in the diversity index. The ferns found in the three plots were relatively few, indicating that the environment was classified as less stable. The Shannon-Wiener diversity index (H') in the three plots was 2.9 (medium category), indicating that the distribution pattern of ferns in the environment was balanced. The Sekar Pudak Sari Waterfall Tourism Area is a suitable habitat for the growth of ferns, so conservation efforts need to be made to maintain a balance of species and stabilize the ecosystem.
Linear planimetric feature domains modeling for multisensor fusion in remote sensing

The availability of multi-sensed data, especially in remote sensing, leads to new possibilities in the area of target recognition. In fact, the information contained in an individual sensor represents only one facet of the reality. The use of several sensors aims at covering different facets of real world objects. In this study, the targets to recognize are the planimetric features (i.e. roads, energy transmission lines, railroads and rivers). The sensors used are visible type satellite sensors (SPOT Panchromatic and Landsat TM) as well as radar satellites (Radarsat fine mode and ERS-1). Sensor resolutions range from 8 to 30 meters/pixel. In this study, the modeling is not limited, as it is generally the case, to the problem feature's reality, but to each sensor that will be used. Moreover, the decision space (here a 3D symbolic map) has to be modeled in the same way as the reality and sensors to lead to a coherent and uniform system. Each model is developed using an object- oriented approach. Each reality-object is defined through its radiometric, geometric and topologic feature. The sensor model objects are defined in accordance to image acquisition and definition, including the stereo image cases (for SPOT and Radarsat). Finally, the decision space objects define the resulting 3D symbolic map where, for instance, a pixel attributes contain classification information as well as position, accuracy, reality object's membership values, etc.
Digital Patient Education on Xanthelasma Palpebrarum: A Content Analysis

Patient education has been transformed using digital media and online repositories which disseminate information with greater efficiency. In dermatology, this transformation has allowed for patients to gain education on common cutaneous conditions and improve health literacy. Xanthelasma palpebrarum is one of the most common cutaneous conditions, yet there is a poor understanding of how digital materials affect health literacy on this condition. Our study aimed to address this paucity of literature utilizing Brief DISCERN, Rothwell’s Classification of Questions, and six readability calculations. The findings of this study indicate a poor-quality profile (Brief DISCERN < 16) regarding digital materials and readability scores which do not meet grade-level recommendations in the United States. This indicates a need to improve the current body of educational materials used by clinicians for diagnosing and managing xanthelasma palpebrarum.
Exploiting pair-wise constraints between parts for human tracking

Human tracking has attracted much attention from the researchers in the fields of computer vision and pattern recognition. The problem is generally extremely challenging partly because human bodies are articulated and versatile, and partly because background clutter, both of which demand a strong human model. However, there is usually a trade-off between the discriminative power and the complexity of a given model. This paper presents a simple yet distinctive appearance model for real time human tracking by exploiting the pairwise constraints between parts. The parts in our model are generated online by sampling the foreground of the scene into overlapping blocks and grouping them into appearance coherent parts with mean shift algorithm. Constraints between the resulting parts are defined and used to encode the structure of human body. To tolerate the possible human deformations and occlusions, the model is layered. With this model, we design an algorithm for human tracking and test its performance on real world image sequences. Experimental results show that the proposed appearance model although simple, has enough discriminative power to classify multiple humans even in presence of occlusions and the associated tracking method can run in real time.
Is the slip rate variation on the Great Sumatran Fault accommodated by fore‐arc stretching?

In oblique convergent subduction areas, an obliquity increase should produce a slip rate increase on trench parallel strike-slip faults and thus the fore-arc platelet should be stretched. Along the Great Sumatran Fault (GSF), that is associated with the oblique convergent Sunda Arc, a northward increase of the GSF slip rate occurs parallel with the convergence obliquity. Transpressional back-arc deformation accommodates part of the GSF slip rate variation while no significant fore-arc stretching is observed. The Sumatran case shows that oblique convergence may be accommodated by deformation of a 500-km-wide zone, from the fore-arc to the back-arc domains.
Identifikasi Foto Wanita Berhijab dari Majalah Untuk Pembuatan Katalog Busana Muslim Otomatis Memanfaatkan Convolutional Neural Network

Abstrak—Perkembangan Fashion Muslim di Indonesia terus meningkat, disisi lain terobosan baru pada Deep Learning dengan memadukan arsitektur seperti dropout regularizations dan Rectified Linear Unit (ReLU) sebagai fungsi aktivasi dan data augmentation, mampu mencapai terobosan pada large scale image classification. Penelitian ini menggunakan metode deteksi objek wajah dengan Haar Cascades Classification untuk mendapatkan sample dataset wajah dan preprocessing data testing untuk dilanjutkan pada metode machine learning untuk klasifikasi citra dengan Convolutional Neural Network. Dataset yang digunakan adalah kumpulan katalog busana online, dataset yang sudah di preprocessing dibagi menjadi dua kategori, yaitu Hijab untuk semua citra wanita berhijab, dan Non Hijab untuk citra yang bukan wanita berhijab. selanjutnya klasifikasi citra menggunakan data ujicoba majalah digital terbitan Hijabella, Joy Indonesia dan Scarf Indonesia. Semakin besar resolusi citra input untuk preprocessing pada majalah digital, maka akan semakin banyak objek citra yang terdeteksi, dengan meningkatkan jumlah dataset untuk training dan validasi, mampu menambah hasil akurasi yang didapatkan, terjadi peningkatan akurasi pada dataset 2.500 wajah perkategori ke 5.000 wajah perkategori dengan resolusi 720p meningkat dari rata-rata 81.30% menjadi 82.31%, peningkatan rata-rata 1.01% dan tertinggi 2.14%, sedangkan resolusi 1080p meningkat dari rata-rata 83.03% menjadi 83.68%, peningkatan rata-rata 0.65% dan tertinggi 1.73%, akurasi tertinggi adalah sebesar 84.72% menggunakan model dataset 5.000 secara acak perkategori.
Reconstruction of Holocene lake-level changes in Lake Igelsjön, southern Sweden

Pollen and sediment stratigraphic analyses of a transect of core sequences are used to reconstruct Holocene lake-level changes in Lake Igelsjön, southern Sweden. The pattern of changes seen in the records is related to climatic/hydrological changes and agrees principally with the pattern characteristically found in lakes in southern Sweden. However, compared with an earlier study based on isotopic analysis of lake sediments by Hammarlund et al. (2003), some significant differences are found in the early Holocene, and possible explanations for these differences are discussed.
Acoustical patchiness of mesopelagic micronekton

Patterns of acoustical scattering in both depth and horizontal extent were analyzed to estimate the spatial and temporal scales of variability in biomass of mesopelagic sound scatterers, principally micronekton. The patterns observed included extensive layers of low and nearly uniform scattering strength and distinct three-dimensional patches of stronger scattering. These patches dispersed vertically at night after diel migration of a portion of the scatterers, but reassembled quite accurately the following day. Analysis of variance spectra for average acoustical scattering profiles within a patch suggest that micro-patches, with dimensions on the order of 15 m vertically by 1 km horizontally, are present both day and night. Horizontal variance spectra suggest the possibility of different horizontal aggregation mechanisms at scales above and below approximately 8.9 km.
Burnout in Health Professionals Working in Surgical and Intensive Care Units:A Systematic Review of Related Factors and Consequences

Background: Burnout is found at elevated levels inhealthcare professionals who work in critical units.At the same time, high levels of burnout areassociated with strong negative effects on a personaland professional level.Aim: The aim of this study was to examine thefactors associated with burnout and its associatedconsequences in workers in surgical departments andintensive care units.Materials and Methods: A systematic review of theliterature was applied. The search and inclusion ofarticles in the systematic review was performedusing the PRISMA Statement. A total of 31 differentstudies were included in the search.Results: Firstly, most of the relevant studiesconcerned nurses, not physicians or other healthprofessionals. Second, all the studies were crosssectional. Third, a common finding of the effects ofsociodemographic factors cannot be drawn as therewere conflicting findings between the studies.Fourth, it appears that evidence that demonstrates abroader burden of mental health is associated withburnout (e.g. anxiety). Fifth, parameters that arerelated to resilience, for example hardness as apersonality trait, were associated with lower burnoutscores. Finally, all studies concerned workers inintensive care units and not in surgical departments.Conclusions: Therefore, this study may lead to somefindings for health care workers in intensive careunits, but not for those working in surgicaldepartments.
A Pressure-sintering Model for the Densification of Polar Firn and Glacier Ice

Abstract A comprehensive multi-mechanism theory of pressure sintering has been applied to the densification of two polar ice sheets. The comparison, which is made using pressure-sintering mechanism maps, indicates that power-law creep is the controlling mechanism between 50% and 98% theoretical density. Lattice diffusion becomes dominant at low porosities. The densification rates predicted by the theory are in good agreement with the data, and suggest that a reasonable estimation of the densification behaviour of a polar ice sheet can be made using the theory, based on information obtained from a relatively shallow core.
Deformation in the Yakataga Seismic Gap, southern Alaska, 1980–1986

A 60-by-40-km trilateration network in the Yakataga seismic gap was surveyed in 1980, 1982, 1984, and 1986 with precise electro-optical distance-measuring equipment to measure strain accumulation. The overall deformation is roughly approximated by a 0.24±0.03 µstrain/yr N32°W±2.4° uniaxial contraction that is uniform in time. However, the spatial distribution of deformation shows some concentration of convergence in the neighborhood of the Chugach-St. Elias fault and of right-lateral shear across the Contact fault. A simple dislocation model of the plate interaction in the Yakataga gap fits the observed deformation reasonably well but seems to require that the motion of the Pacific plate relative to the North American plate be directed more nearly N36°W than N15°W, the generally accepted direction of relative motion for this location. However, the direction of plate motion inferred from the dislocation model depends upon details of the interaction at the plate boundary that may not have been modeled accurately. A nearby but smaller trilateration network at Icy Bay was surveyed in 1982, 1984, and 1986. This network spans the southwest corner of the rupture zone of the 1979 St. Elias earthquake. The deformation at Icy Bay consists of left-lateral shear across a northeast trending zone. The relation of this deformation to strain accumulation in the Yakataga gap, postseismic relaxation associated with the 1979 earthquake, or rebound from the unloading associated with the rapid recession of the Guyot glacier is not understood.
The effect of aerosols and sea surface temperature on China's climate in the late twentieth century from ensembles of global climate simulations

Over the late twentieth century, China has seen a strong increase in aerosol emissions, whose quantitative role for observed changes in surface solar radiation (SSR), surface air temperature (SAT), and precipitation remains debated. We use ensembles of transient sensitivity experiments with the global climate model ECHAM5 from the Max Planck Institute for Meteorology, Hamburg, Germany, combined with the Hamburg Aerosol Module to examine the effect of aerosols and prescribed, observation‐based sea surface temperatures (SSTs) on the above variables. Observations and control experiments agree reasonably well in eastern China in terms of SSR dimming (−6 ± 2 W/m2/decade, 1960–2000; stronger than in models of the Coupled Model Intercomparison Project Phase 5, CMIP5), statistically nonsignificant summer SAT trend (1950–2005), and drying in summer from 1950 to 1990 (−2.5% to −3.5% per decade, essentially via reduction of convective precipitation). Other observed features are not reproduced by the model, e.g., precipitation increase in the 1990s in the Yangtze River valley or, from the 1960s onward, the strong winter warming in northern China and Mongolia and SSR dimming in western China. Aerosol effects are stronger for sulfur dioxide than for black and organic carbon and are more pronounced at lower model resolution. Transient SSTs are crucial for decadal‐scale SAT variability over land, especially the strong warming in the 1990s, and, via SST forced reduction of cloud cover, for the ceasing of SSR dimming around the year 2000. Unforced cloud variability leads to relevant scatter (up to ±2 W/m2/decade) of modeled SSR trends at individual observation sites.
From Saccharomyces cerevisiae to Ethanol: Unlocking the Power of Evolutionary Engineering in Metabolic Engineering Applications

Increased human population and the rapid decline of fossil fuels resulted in a global tendency to look for alternative fuel sources. Environmental concerns about fossil fuel combustion led to a sharp move towards renewable and environmentally friendly biofuels. Ethanol has been the primary fossil fuel alternative due to its low carbon emission rates, high octane content and comparatively facile microbial production processes. In parallel to the increased use of bioethanol in various fields such as transportation, heating and power generation, improvements in ethanol production processes turned out to be a global hot topic. Ethanol is by far the leading yeast output amongst a broad spectrum of bio-based industries. Thus, as a well-known platform microorganism and native ethanol producer, baker’s yeast Saccharomyces cerevisiae has been the primary subject of interest for both academic and industrial perspectives in terms of enhanced ethanol production processes. Metabolic engineering strategies have been primarily adopted for direct manipulation of genes of interest responsible in mainstreams of ethanol metabolism. To overcome limitations of rational metabolic engineering, an alternative bottom-up strategy called inverse metabolic engineering has been widely used. In this context, evolutionary engineering, also known as adaptive laboratory evolution (ALE), which is based on random mutagenesis and systematic selection, is a powerful strategy to improve bioethanol production of S. cerevisiae. In this review, we focus on key examples of metabolic and evolutionary engineering for improved first- and second-generation S. cerevisiae bioethanol production processes. We delve into the current state of the field and show that metabolic and evolutionary engineering strategies are intertwined and many metabolically engineered strains for bioethanol production can be further improved by powerful evolutionary engineering strategies. We also discuss potential future directions that involve recent advancements in directed genome evolution, including CRISPR-Cas9 technology.
Comparison of female rat reproductive effects of pubertal versus adult exposure to known endocrine disruptors

A prevailing challenge when testing chemicals for their potential to cause female reproductive toxicity is the lack of appropriate toxicological test methods. We hypothesized that starting a 28-day in vivo toxicity study already at weaning, instead of in adulthood, would increase the sensitivity to detect endocrine disruptors due to the possibility of including assessment of pubertal onset. We compared the sensitivity of two rat studies using pubertal or adult exposure. We exposed the rats to two well-known human endocrine disruptors, the estrogen diethylstilbestrol (DES; 0.003, 0.012, 0.048 mg/kg bw/day) and the steroid synthesis inhibitor ketoconazole (KTZ; 3, 12, 48 mg/kg bw/day). Specifically, we addressed the impact on established endocrine-sensitive endpoints including day of vaginal opening (VO), estrous cyclicity, weights of reproductive organs and ovarian histology. After 28 days of exposure, starting either at weaning or at 9 weeks of age, DES exposure altered estrous cyclicity, reduced ovary weight as well as number of antral follicles and corpora lutea. By starting exposure at weaning, we could detect advanced day of VO in DES-exposed animals despite a lower body weight. Some endpoints were affected mainly with adult exposure, as DES increased liver weights in adulthood only. For KTZ, no effects were seen on time of VO, but adrenal and liver weights were increased in both exposure scenarios, and adult KTZ exposure also stimulated ovarian follicle growth. At first glance, this would indicate that a pubertal exposure scenario would be preferrable as timing of VO may serve as sensitive indicator of endocrine disruption by estrogenic mode of action. However, a higher sensitivity for other endocrine targets may be seen starting exposure in adulthood. Overall, starting a 28-day study at weaning with inclusion of VO assessment would mainly be recommended for substances showing estrogenic potential e.g., in vitro, whereas for other substances an adult exposure scenario may be recommended.
Constraints as Means of Controlling Usage of Geovirtual Environments

In this paper a concept for controlling the usage of geovirtual environments by means of constraints is developed. Constraints serve to improve the usability of geovirtual environments by guarding the navigation and interaction processes of users. In addition, they facilitate the implementation of Digital Rights Management for geovirtual environments. The presented approach distinguishes spatial constraints, structural constraints, and redistribution constraints. Several types of spatial constraints have been identified for navigation in geovirtual environments. To demonstrate their applications, this paper reports on using constraints in virtual 3D city models.