Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Blood-Derived Products on Cellular Senescence and Inflammatory Response: A Study on Skin Rejuvenation

Blood-derived products, such as citrate platelet-rich plasma (CPRP) and hyperacute serum (HAS), are recognized for their rich growth factor content. When human dermal fibroblast (HDF) cells are exposed to combined mitogenic and DNA-damaging stimuli, it can lead to an increased burden of senescent cells and a modified senescence-associated secretory phenotype. In this study, the senescent state was comprehensively assessed through various methods, including phosphorylated histone H2AX (γH2AX) staining, p21 and p16 q-PCR, p21-western blot, growth curves, and senescence-associated ß-galactosidase staining. Two primary treatments with blood products were administered, one early (immediately after etoposide) and the other late (11 days after etoposide treatment). The effects of the blood product treatment were evaluated by measuring interleukin 6 and 8 (IL-6 and IL-8) levels, as well as collagen 1 (COL1) and p21 mRNA expression. Additionally, 2,3-bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide (XTT) assays, cell size measurements, viability assays, and cell number calculations were conducted. The results revealed that cells treated with hyperacute serum in the early treatment phase exhibited the lowest observed IL-6 and IL-8 levels. In contrast, a clear inflammatory response for IL-8 was observed in cells treated with hyperacute serum and citrate platelet-rich plasma during the late treatment. Furthermore, an upregulation of COL1 expression was observed in the early treatment, while cells in the late treatment group remained unaffected. Notably, citrate platelet-rich plasma-treated cells showed a decrease in COL1 expression. Overall, the treatment with blood products appears to have slightly positive effects on skin rejuvenation.
Simulation of interactions among fire, mountain pine beetle and lodgepole pine forest

This paper describes a modelling research approach for the proposed new study of the interaction of fire and mountain pine beetle via forest age structure. This approach is theoretical and provides an analysis of how the stability of forest age-distributions is related to fire regimes. Starting with the derivation of the theoretical negative exponential forest age-distribution, we have used three models to explore the conditions under which a stable age-distribution could be expected. The results suggested that a stable age-distribution could always be achieved as long as the forest age-specific mortality is constant over time, and the shape of a stable age-distribution is mainly determined by the forest age-specific mortality. However, the stability of the forest age-distribution will be reduced when a small variation in the age-specific mortality is introduced. The simulation results of the possible patterns of the age-distribution under various fire regimes indicated that a variety of agedistribution curves could appear, including negative exponential and also other curves with one or multiple peaks. The results suggested that a stable forest age-distribution might never be achieved if the forest landscape is subjected to large and irregular fire disturbances. The age distributions are then related to susceptibility to mountain pine beetle attack, via a susceptibility algorithm.
High Breakdown Voltage ( 1590 V ) AlGaN / GaNon-Si HFETs with Optimized Dual Field Plates

In case the peak electric fields at the gate and field plate edges are sufficiently suppressed in field plated AlGaN/GaN HFETs, the electric field at the drain side first reaches the critical level inducing the channel breakdown. Therefore, the breakdown voltage can be further enhanced by adding a drain field plate that spreads out the potential distribution near the drain side. We have demonstrated state-of-the-art characteristics of AlGaN/GaN-on-Si HFETs with optimized dual field plates. The breakdown voltage of 1590 V and the specific on-resistance of 1.86 mΩ. cm 2 were achieved for the gateto-drain distance of 15 m in which the gate and drain field plate lengths were 2 m and 1 m, respectively.
Senescence-associated ß-galactosidase staining over the lifespan differs in a short- and a long-lived fish species

During the aging process, cells can enter cellular senescence, a state in which cells leave the cell cycle but remain viable. This mechanism is thought to protect tissues from propagation of damaged cells and the number of senescent cells has been shown to increase with age. The speed of aging determines the lifespan of a species and it varies significantly in different species. To assess the progress of cellular senescence during lifetime, we performed a comparative longitudinal study using histochemical detection of the senescence-associated beta-galactosidase as senescence marker to map the staining patterns in organs of the long-lived zebrafish and the short-lived turquoise killifish using light- and electron microscopy. We compared age stages corresponding to human stages of newborn, childhood, adolescence, adult and old age. We found tissue-specific but conserved signal patterns with respect to organ distribution. However, we found dramatic differences in the onset of tissue staining. The stained zebrafish organs show little to no signal at newborn age followed by a gradual increase in signal intensity, whereas the organs of the short-lived killifish show an early onset of staining already at newborn stage, which remains conspicuous at all age stages. The most prominent signal was found in liver, intestine, kidney and heart, with the latter showing the most prominent interspecies divergence in onset of staining and in staining intensity. In addition, we found staining predominantly in epithelial cells, some of which are post-mitotic, such as the intestinal epithelial lining. We hypothesize that the association of the strong and early-onset signal pattern in the short-lived killifish is consistent with a protective mechanism in a fast growing species. Furthermore, we believe that staining in post-mitotic cells may play a role in maintaining tissue integrity, suggesting different roles for cellular senescence during life.
Chemical signatures of Melaleuca quinquenervia leaves as precipitation proxies

The eastern coast of Australia is susceptible to variations caused by the El NiñoSouthern Oscillation. The geological record in this region is therefore ideal for studying the history of El Niño variability. However, site-specific proxies for precipitation amounts are needed to examine El Niño in the geologic past. Carbon isotope ratios of leaves and the average chain length of leaf-wax n-alkanes have the potential to act as proxies for past rainfall. Carbon isotope ratios respond to changes in water availability (Stewart et al. 1995; Korol et al. 1999; Cornic 2000; Van de Water et al. 2002). Average chain length of leaf wax n-alkanes has also been found to relate to climatic variables, including temperature, humidity and water availability (Tipple & Pagani 2013; F. McInerney pers. comm. 2014). These two measures are used in this study to develop proxies for climate in modern Melaleuca quinquenervia leaves. We hypothesised that leaves in drier environments would have smaller discrimination values than wetter environments. We also hypothesised that average chain length of leaf wax n-alkanes in modern Melaleuca quinquenervia will show longer chain length distributions at drier sites. The discrimination of modern leaves is positively correlated with precipitation and precipitation-evaporation for the previous four years at each site, and statistically significant negative linear correlations of average chain length with precipitation and precipitation-evaporation exist. The correlations have significance as modern calibrations for palaeoclimate proxies. These calibrations have important geological applications to lake sediments preserving sub-fossil leaves of Melaleuca quinquenervia, including a known site at Swallow Lagoon on North Stradbroke Island and other identified sites of potential sub-fossil leaf preservation. The calibrations developed in this study have the potential to help quantify past precipitation and El Niño variation across the east coast of Australia.
Instagram vs TikTok: Which Platform is More Effective for Enhancing SMEs Performance?

Digital transformation makes social media one of the infrastructures that introduces effective performance changes for MSMEs. Referring to the concept of the research model built based on the Technology Organization Environment (TOE) theory, tThere are three basic factors that need to be considered by MSMEs in adopting social media, namely compatibility, cost-effectiveness and interactivity. This study aims to compare the effects of compatibility, cost-effectiveness, and interactivity on SME performance between the social media platforms Instagram and TikTok. A comparative study was utilized in this research to examine the impact of variables on the Instagram and TikTok social media platforms. The sample consisted of 200 SMEs was selected through purposive sampling. The data were analyzed using Partial Least Squares Multigroup Analysis (PLS-MGA). The study's results indicate that compatibility and interactivity significantly influence the adoption of both Instagram and TikTok social media platforms. On the other hand, the cost-effectiveness variable only affects the adoption of the TikTok social media platform but does not significantly affect the adoption of Instagram. This study also found that only interactivity significantly differs in adopting social media platforms between Instagram and TikTok. The results showed that Instagram social media provides greater interactivity than TikTok. The other two variables, compatibility, and cost-effectiveness do not significantly differ. Furthermore, the study also found a positive influence of using both Instagram and TikTok social media platforms on SMEs' performance.
Progress in Electronic, Energy, Biomedical and Environmental Applications of Boron Nitride and MoS2 Nanostructures

In this review, we examine recent progress using boron nitride (BN) and molybdenum disulfide (MoS2) nanostructures for electronic, energy, biomedical, and environmental applications. The scope of coverage includes zero-, one-, and two-dimensional nanostructures such as BN nanosheets, BN nanotubes, BN quantum dots, MoS2 nanosheets, and MoS2 quantum dots. These materials have sizable bandgaps, differentiating them from other metallic nanostructures or small-bandgap materials. We observed two interesting trends: (1) an increase in applications that use heterogeneous materials by combining BN and MoS2 nanostructures with other nanomaterials, and (2) strong research interest in environmental applications. Last, we encourage researchers to study how to remove nanomaterials from air, soil, and water contaminated with nanomaterials. As nanotechnology proceeds into various applications, environmental contamination is inevitable and must be addressed. Otherwise, nanomaterials will go into our food chain much like microplastics.
Incidence of Secondary Osteoarthritis after Primary Shoulder and Knee Empyema and Its Risk Factors

Empyema of the joint is an orthopedic emergency that is associated with a prolonged healing process despite adequate surgical and medical therapy. The risk of developing postinfectious osteoarthritis (OA) after successfully treated joint empyema is unknown. Both incidence and risk factors are important for prognostication and would therefore be clinically relevant for the selection of an adequate infectious therapy as well as for the individual follow-up of patients. The aim of this retrospective clinical study was to describe the risk of secondary OA after empyema based on knee and shoulder joint infections after successful primary infection treatment and its risk factors. Thirty-two patients were examined clinically and radiographically after completion of treatment for primary empyema of the knee or shoulder joint. Patients with previous surgery or injections in the affected joint were excluded from the study. The cumulative incidence of new-onset radiographic OA was 28.6%, representing a 5.5-fold increased risk of developing OA compared to the normal population. A figure of 25% of patients underwent total knee arthroplasty after knee empyema. Identified risk factors for primary empyema were obesity, hyperuricemia, and rheumatoid arthritis. Only about 60% of the patients tested positive for bacteria. Staphylococcus aureus, the most common pathogen causing joint empyema, was present in approximately 40% of cases. Secondary osteoarthritis, as a possible secondary disease after joint empyema, could be demonstrated and several risk factors for the primary empyema were identified.
Epistasis in neurotransmitter receptors linked to posttraumatic stress disorder and major depressive disorder comorbidity in traumatized Chinese

Background Posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) comorbidity occurs through exposure to trauma with genetic susceptibility. Neuropeptide-Y (NPY) and dopamine are neurotransmitters associated with anxiety and stress-related psychiatry through receptors. We attempted to explore the genetic association between two neurotransmitter receptor systems and the PTSD–MDD comorbidity. Methods Four groups were identified using latent profile analysis (LPA) to examine the patterns of PTSD and MDD comorbidity among survivors exposed to earthquake-related trauma: low symptoms, predominantly depression, predominantly PTSD, and PTSD–MDD comorbidity. NPY2R (rs4425326), NPY5R (rs11724320), DRD2 (rs1079597), and DRD3 (rs6280) were genotyped from 1,140 Chinese participants exposed to earthquake-related trauma. Main, gene–environment interaction (G × E), and gene–gene interaction (G × G) effects for low symptoms, predominantly depression, and predominantly PTSD were tested using a multinomial logistic model with PTSD–MDD comorbidity as a reference. Results The results demonstrated that compared to PTSD–MDD comorbidity, epistasis (G × G) NPY2R-DRD2 (rs4425326 × rs1079597) affects low symptoms (β = −0.66, OR = 0.52 [95% CI: 0.32–0.84], p = 0.008, pperm = 0.008) and predominantly PTSD (β = −0.56, OR = 0.57 [95% CI: 0.34–0.97], p = 0.037, pperm = 0.039), while NPY2R-DRD3 (rs4425326 × rs6280) impacts low symptoms (β = 0.82, OR = 2.27 [95% CI: 1.26–4.10], p = 0.006, pperm = 0.005) and predominantly depression (β = 1.08, R = 2.95 [95% CI: 1.55–5.62], p = 0.001, pperm = 0.001). The two G × G effects are independent. Conclusion NPY and dopamine receptor genes are related to the genetic etiology of PTSD–MDD comorbidity, whose specific mechanisms can be studied at multiple levels.
The DOW Mobile Multiple-Doppler Network

The DOW radar program began in 1994 with the goal of fielding a mobile, but fully capable, pencil-beam, scanning, pulsed Doppler radar, with the real-time multiparameter displays, and versatile programmable volume scanning ability typical of stationary weather research systems. The prototype DOW1 (Fig.1)(Wurman et al. 1997) was constructed in a very short period from 11/94 4/95, rushed to completion, and fielded in the VORTEX tornado program (Rasmussen et al 1994). The DOW1 employed a surplus transmitter from the CP-2 radar (Keeler 1982), as well as a surplus antenna, pedestal, receiver hardware, and vehicle. Its capabilities, 0.93° beamwidth, 75 m range resolution, reasonably fast volume scanning capability, and Doppler processing, gave it capabilities similar to much larger stationary research radar systems, though with some trade-offs, particularly the use of 3-cm radiation, which was severely attenuated by heavy precipitation. An abbreviated summary of DOW1 radar characteristics is shown in Table 1. While suffering from many limitations due to its prototype nature, and the rapidity of its design and construction, the DOW1 collected unprecedented fine-scale observations in tornadoes (Wurman and Gill 2000), hurricanes (Wurman and Winslow 1998), and a variety of other phenomena. In addition to tornado and hurricane studies, the DOW1 participated in the Small Cumulus Mesoscale Study (SCMS) in Florida in 1995, the FLATLAND/LIFT Boundary Layer Experiment in Illinois in 1996, a microburst study run by MIT/LL and the FAA in 1996, and was used in a radar meteorology course at OU.
Total Replacement of Soybean Meal with Sundried Soymilk Residue in the Total Mixed Ration has a Negative Impact on Intake, Digestibility, and Milk Production in Dairy Goats

This study aimed to evaluate whether total replacement of soybean meal (SBM) with sundried soymilk residue (SSR) in a total mixed ration (TMR) affects intake, digestibility, milk production, and blood metabolites in dairy goats. A total of 12 healthy Saanen dairy goats (40.12 ± 5.80 kg of BW) in midlactation (31.23 ± 10.12 days) were used in a randomized complete design (n = 4 goats/group). Dietary treatments were based on a TMR as follows: control TMR without SSR (CON) or SBM-based TMR with 50% or 100% of SSR replacing SBM (SSR-50 and SSR-100, respectively). All goats had ad libitum access to feed and clean water throughout the experiment. The dry matter (DM) intake decreased (p < 0.05) with the increasing replacement ratio of SBM and was lowest in the SSR-100 group. Similarly, organic matter (OM) digestibility was lowest (p < 0.05) in the SSR-100 group. However, the digestibility of DM, CP, NDF, and ADF did not change (p > 0.05) by dietary treatments. Compared with CON, the milk yield decreased significantly (p < 0.05) with increasing replacement ratio of SBM. In contrast, milk composition such as total solids, solids-not-fat, milk fat, lactose, protein, and pH were not influenced (p > 0.05) by feeding dietary SSR. Compared with other treatments, blood glucose concentration was lower (p < 0.05) in the SSR-100 group. In contrast, packed cell volume, glucose, and plasma urea nitrogen concentrations did not differ (p > 0.05). The results indicated that SSR could replace SBM in a TMR at less than 50%. Thus, the present study provides support for further investigation to enhance the utilization of soybean waste as an alternative protein source in the TMR for dairy goats and potentially other ruminants.
Application of Makeup Image Optimization Recommendation System through the Analysis of BeautyGAN Based on Deep Learning

The purpose of this study was to identify the makeup preference of users and suggest a method to optimize the makeup style by using the preferred image for each age group through the analysis of BeautyGAN. Through this, you can propose a customized makeup style that suits you, and provide beneficial services to the makeup industry and consumers. In addition, by developing and validating new methods that effectively combine deep learning and vision systems, we aim to innovate makeup-related image conversion technology and contribute to academic and practical advances in this field. For this purpose, reference images suitable for each image were collected to implement image optimization for each age group, the input data reflected the researcher’s image, and the face was aligned and resized, after removing images with low resolution or poor lighting conditions. As a result of the performance evaluation of the BeautyGAN model, it was confirmed that the existing image was 51.26%, which is close to the BeautyGAN image of 38.89%. These results are judged to be able to provide customized makeup style suggestions or adjusted makeup effects that reflect the user’s preferences from an academic point of view, and from a practical point of view, it will be possible to improve the quality of customized beauty services by suggesting makeup styles that suit the characteristics of customers more accurately and quickly.
Evaluasi Menara Distilasi melalui Program Aspen Hysys

PT XXX merupakan pabrik produksi asam formiat pertama dan satu-satunya di Asia Tenggara. Proses produksi yang berlangsung di dalam pabrik terdiri dari dua tahap utama, yaitu tahap pembuatan metil format dan tahap pembentukan asam formiat. Bahan baku utama yang digunakan dalam proses produksi ini diantaranya gas karbon monoksida (CO), metanol (CH3OH), katalis yang berupa kalium metoksida (KOCH3), dan air (H2O). Asam formiat merupakan salah satu bahan kimia yang dapat digunakan untuk kepentingan industri seperti dalam industri karet yaitu sebagai bahan koagulan karet alam dalam industri farmasi,terutama desinfektan obat-obatan dan dipakai sebagai sebagai zat pengawetan dalam industri tekstil digunakan dalam proses drying dan finishing sebagai conditioner, dalam industri kulit digunakan untuk menetralisasi kapur,juga juga digunakan untuk mengasamkan makanan ternak. Maka dari itu diadakannya perbandingan antara simulasi Aspen Hysys dengan perhitungan manual agar mengetahui mana yang paling optimal dan setelah dilakukan keduanya didapatkanlah masih yang berbeda dari hasil keduanya dan yang paling optimal adalah menggunakan perhitungan manual atau menggunakan persamaan neraca massa. PT XXX is the first and only formic acid production plant in Southeast Asia. The production process that takes place at the plant consists of two main stages, namely the methyl formate production stage and the formic acid production stage. The main raw materials used in this production process are carbon monoxide (CO) gas, methanol (CH3OH), a catalyst in the form of potassium methoxide (KOCH3), and water (H2O). Formic acid is one of the chemicals that can be used for industrial purposes, e.g., in the rubber industry, as a natural rubber coagulant; in the pharmaceutical industry, especially for disinfecting drugs; as a preservative; in the textile industry, as a conditioner in the drying and finishing process; in the leather industry, to neutralize lime; and also to acidify animal feed. Therefore, a comparison was made between the Aspen Hysys simulation and the manual calculations to find out which was the most optimal, and after doing both, it was found that there were still different results from both, and the most optimal was to use the manual calculations or to use the mass balance equation.
The Interplay of Institutional Support and Faculty Roles during the Covid-19 Pandemic: Implications for the future of Online Teaching and Learning

While the outcome of the Covid-19 pandemic was largely the same across higher education – a rapid transition to online teaching and learning – the processes and institutional support that led to this transition varied greatly. As such, the perception and anxieties experienced by faculty warrant exploration as these perceptions will likely dictate the future of online teaching and learning within higher education institutions. Through the use of tweets made during the pandemic and interviews with faculty, this study reveals that the emotional stress experienced by faculty when playing multiple, unfamiliar roles hinder implementation of online teaching and learning initiatives. This hindrance may in part be alleviated through well targeted institutional support.
EJ Extra: A Snapshot of Writing Instruction in Middle Schools and High Schools [FREE ACCESS]

In the May 2009 issue of English Journal, we reported on our analysis of data from the National Assessment of Educational Progress to provide a first look at changes in the teaching of writing over the past 30 years. In this article, we provide a more detailed look, drawing on data collected from visits to 260 English, math, social studies, and science classrooms in 20 middle schools and high schools in five states (schools all chosen for reputations for excellence in the teaching of writing), interviews with 220 teachers and administrators, and with 138 students in these schools, and a national survey of 1520 randomly selected teachers.