Miracle-dz/UniFAR-FTUs huggingface dataset:
Lonely and scrolling during the COVID-19 pandemic: understanding the problematic social media use and mental health link among university students

Introduction Undergraduate university students experienced many academic and non-academic stressors during the first year of the coronavirus (COVID-19) pandemic, putting them at a greater risk of negative mental health outcomes. Reports worldwide have shown high incidences of depressive, anxiety, and stress scores among university students at the beginning of the pandemic. Emerging evidence also suggests that to cope with the stress and loneliness of the pandemic, many youth and young adults increased the amount of time they spent on social media platforms. Methods Undergraduate students participated in an online study aimed to understand the link between time spent on social media, coping through the use of social media and problematic social media use (PSMU) with mental health symptoms, such as stress, depression, anxiety, and loneliness, during the COVID-19 pandemic. Results While time spent on social media was only weakly associated with stress, depression, anxiety and loneliness scores, PSMU more strongly mapped onto these outcomes. Additionally, students who were coping highly using social media displayed elevated stress, depression, anxiety and loneliness levels in comparison to those reporting low levels of coping with social media. Finally, students who reported high levels of coping using social media displayed higher PSMU scores, with this relationship appearing more pronounced in students who had higher levels of loneliness. Conclusion These data support evidence that it is not necessarily time spent on social media but rather PSMU that is relevant for mental health symptoms, and that PSMU is exacerbated by loneliness. Moreover, the current results highlight the effects of maladaptive coping on mental health symptoms and PSMU among university students during the COVID-19 pandemic.
Effect of seed hardening, potassium fertilizer and paraquat as anti-transpirant on rainfed wheat (Triticum nestlvm)

An experiment was conducted during 1988-89 and 1989-90 at Jorhat, to study tIlc cllcg( of2 seed hardening (normal and hardened seed with 1%KH2P0,, soaking for 18 hr), 4 levcls ol1~1i1s~jlllll 30, (I). 60 and 90 kg K20/ha) and application o f paraquat as anti-transpirant at 4 dillercnl gr(\\y[(l q[i\ges (control, tillering, boot-leaf and tillering + boot-leaft)on rainfed Sonalika wheat (fii/icrrrrl f f i q ~ ~ y ~ ( ~ r f L. emend. Fiori & Paol.). hardened seed proved better than normal seed and 30 kg K,0/h;1 sjelli)ipi\l~tly c;(lbc;{. increased the yield over the control. The paraquat application did not show any signilici~~~t $ecd hardening, 30 kg K,O/ha and application of paraquat werc found viable proposition li~r rnilllbd ~ I l ~ i l l .
Transcriptome data reveals the conservation genetics of Cypripedium forrestii, a plant species with extremely small populations endemic to Yunnan, China

The Cypripedium forrestii is an orchid species with extremely small populations (PSESP) in Yunnan, China. C. forrestii is range-restricted and less-studied than many orchid species, and it is exposed to various threats to its survival. We investigated its potential habitats and collected 52 samples from eight locations, as well as two outgroup species for reference. We developed genetic markers (SNPs) for C. forrestii based on transcriptome sequencing (RNA-seq) data, and analyzed the genetic diversity, population structure, gene flow and demographic history of C. forrestii in detail. C. forrestii is a taxonomically independent species to protect. We found that the genetic diversity of C. forrestii was very low (1.7e-4) compared with other endangered species. We identified three genetic clusters, and several populations with distinct genetic backgrounds. Most genetic diversity was found within sampling sites (87.87%) and genetic clusters (91.39%). Gene flow has been greatly limited over the most recent generations, probably due to geographical distance, historical climate change and habitat fragmentation. We also detected a severe bottleneck event brought about by the recent population constraints. These factors, together with its reproductive characteristics, contribute to the population fragmentation and low genetic diversity of C. forrestii. Based on our findings, we suggest an integrative conservation strategy to protect and recover the genetic diversity of C. forrestii and a further comprehensive study of its ecological traits in the future.
Novel application of the ferroptosis-related genes risk model associated with disulfidptosis in hepatocellular carcinoma prognosis and immune infiltration

Hepatocellular carcinoma (HCC) stands as the prevailing manifestation of primary liver cancer and continues to pose a formidable challenge to human well-being and longevity, owing to its elevated incidence and mortality rates. Nevertheless, the quest for reliable predictive biomarkers for HCC remains ongoing. Recent research has demonstrated a close correlation between ferroptosis and disulfidptosis, two cellular processes, and cancer prognosis, suggesting their potential as predictive factors for HCC. In this study, we employed a combination of bioinformatics algorithms and machine learning techniques, leveraging RNA sequencing data, mutation profiles, and clinical data from HCC samples in The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and the International Cancer Genome Consortium (ICGC) databases, to develop a risk prognosis model based on genes associated with ferroptosis and disulfidptosis. We conducted an unsupervised clustering analysis, calculating a risk score (RS) to predict the prognosis of HCC using these genes. Clustering analysis revealed two distinct HCC clusters, each characterized by significantly different prognostic and immune features. The median RS stratified HCC samples in the TCGA, GEO, and ICGC cohorts into high-and low-risk groups. Importantly, RS emerged as an independent prognostic factor in all three cohorts, with the high-risk group demonstrating poorer prognosis and a more active immunosuppressive microenvironment. Additionally, the high-risk group exhibited higher expression levels of tumor mutation burden (TMB), immune checkpoints (ICs), and human leukocyte antigen (HLA), suggesting a heightened responsiveness to immunotherapy. A cancer stem cell infiltration analysis revealed a higher similarity between tumor cells and stem cells in the high-risk group. Furthermore, drug sensitivity analysis highlighted significant differences in response to antitumor drugs between the two risk groups. In summary, our risk prognostic model, constructed based on ferroptosis-related genes associated with disulfidptosis, effectively predicts HCC prognosis. These findings hold potential implications for patient stratification and clinical decision-making, offering valuable theoretical insights in this field.
Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven Exoskeleton

The cable-driven exoskeleton can avoid joint misalignment, and is substantial alterations in the pattern of muscle synergy coordination, which arouse more attention in recent years to facilitate exercise for older adults and improve their overall quality of life. This study leverages principles from neuroscience and biomechanical analysis to select attachment points for cable-driven soft exoskeletons. By extracting key features of human movement, the objective is to develop a subject-specific design methodology that provides precise and personalized support in the attachment points optimization of cable-driven exoskeleton to achieve natural gait, energy efficiency, and muscle coordination controllable in the domain of human mobility and rehabilitation. To achieve this, the study first analyzes human walking experimental data and extracts biomechanical features. These features are then used to generate trajectories, allowing better natural movement under complete cable-driven exoskeleton control. Next, a genetic algorithm-based method is employed to minimize energy consumption and optimize the attachment points of the cable-driven system. This process identifies connections that are better suited for the human model, leading to improved efficiency and natural movement. By comparing the calculated elderly human model driven by exoskeleton with experimental subject in terms of joint angles, joint torques and muscle forces, the human model can successfully replicate subject movement and the cable output forces can mimic human muscle coordination. The optimized cable attachment points facilitate more natural and efficient collaboration between humans and the exoskeleton, making significant contributions to the field of assisting the elderly in rehabilitation.
Exploring Multi-Tissue Alternative Splicing and Skeletal Muscle Metabolism Regulation in Obese- and Lean-Type Pigs

Alternative splicing (AS) is a crucial mechanism in post-transcriptional regulation, contributing significantly to the diversity of the transcriptome and proteome. In this study, we performed a comprehensive AS profile in nine tissues obtained from Duroc (lean-type) and Luchuan (obese-type) pigs. Notably, 94,990 AS events from 14,393 genes were identified. Among these AS events, it was observed that 80% belonged to the skipped exon (SE) type. Functional enrichment analysis showed that genes with more than ten AS events were closely associated with tissue-specific functions. Additionally, the analysis of overlap between differentially alternative splicing genes (DSGs) and differentially expressed genes (DEGs) revealed the highest number of overlapped genes in the heart and skeletal muscle. The novelty of our study is that it identified and validated three genes (PYGM, MAPK11 and CAMK2B) in the glucagon signaling pathway, and their alternative splicing differences were highly significant across two pig breeds. In conclusion, our study offers novel insights into the molecular regulation of diverse tissue physiologies and the phenotypic differences between obese- and lean-type pigs, which are helpful for pig breeding.
Prognostic Value of Preoperative Electrocardiogram in Low-Risk Patients Undergoing Surgical Intervention and General Anesthesia.

BACKGROUND Patients aged over 50 years require four times more surgical interventions than younger groups. Many guidelines recommend the performance of preoperative electrocardiogram (ECG) in this population. OBJECTIVES To determine the value of preoperative ECG in patients aged over 50 years and classified as ASA I-II (surgical risk). METHODS Patients older than 50 years, without comorbidities, who underwent surgical intervention and general anesthesia were included in the study. Patients were randomized to undergo ECG (group A, n=214) or not (group B, n=213) in the preoperative period. The following variables were analyzed: sex, age, ECG, chest x-ray and laboratory tests results, surgical risk, surgery duration, adverse events and in-hospital mortality. The level of significance was set at 5%. RESULTS Adverse outcomes were reported in 23 (5.4%) patients, with a significant number of adverse events in male patients (OR=7.91 95%CI 3.3-18.90, p<0.001) and in those undergoing major surgeries (OR=30.02 95%CI 4.01-224.92, p<0.001). No differences were observed between patients who underwent ECG and those who did not (OR=1.59, 95%CI, 0.67-3.75, p=0.289). No significant differences were found in the other variables. In multivariate logistic regression, male sex (OR = 6.49; 95%CI 2.42-17.42, p<0.001) and major surgery (OR=22.62; 95%CI 2.95-173.41, p=0.002) were independent predictors of adverse outcomes, whereas undergoing (or not) ECG (OR=1.09; IC95% 0.41-2.90, p=0.867) remained without statistical significance. CONCLUSION Our findings suggest that preoperative ECG could not predict an increased risk of adverse outcomes in our study population during the hospital phase.
Estimativa da concentração de sedimentos suspensos com sensores ópticos: revisão / Estimation of the suspended sediment concentration with optical sensors: review

In recent decades, the use of optical sensors as an indirect way of determining the concentration of suspended sediment (SSC) has gained prominence in the monitoring programs of suspended sediment transport in rivers. However, the transformation of values recorded by sensor into CSS values is not simple and the uncertainty associated with this method is still quite high. The construction of a precise relationship between these variables is strongly linked to an appropriate calibration, and the response of the sensors is influenced by: a) characteristics of the transported sediment particle; b) geometric and optical characteristics of the instrument; c) the presence of certain components in the water column; d) some flow properties. Understanding the influence of such factors is critical in the calibration process of optical sensors and summarizes the purpose of the present article: to present the factors influencing the estimation of CSS values based on the use of optical sensors. Also represented were the results of studies where the influence of these factors was analyzed and the parameters of greater interference, which need to be considered at the time of calibration of optical sensors. We discuss further results of studies conducted in Brazil using this technology, as well as key problems and future prospects of the implementation of these instruments; also as a comparison of the data periods used for the construction of calibration equations, in Brazil and elsewhere. The characterization of the most significant factors allows effective sensor calibration and the representativeness of the data collected
MARKETING E SATISFAÇÃO: turismo em Pirenópolis MARKETING Y SATISFACCIÓN: el turismo en Pirenópolis MARKETING AND SATISFACTION: tourism in Pirenópolis

Brazil offer several areas for tourism in the nature practice, with prominence for the state of Goias, specifically the Pirenopolis city. In the present article it was looked how the marketing for the tourism in the nature in Pirenopolis has been developed and the tourist's satisfaction in relation to the infrastructure, tourist product and offered services. In the year of 2006, was verified the infrastructure of the attractions local for the tourism in the nature in Pirenopolis, the tourist's profile, the satisfaction degree of the tourist and finally it was verified as the marketing is being accomplished, through rising of primary data using personal observation and interviews with enterprisers, administrators, guides and tourists. It was verified that the tourists are satisfied with the form of development of the tourism in the nature, the infrastructure has not been factor of impediment of visits to the attractions and the marketing is not aggressive. However it is necessary to impose load capacity for the attractions and have to be careful for not accomplishing popularization in mass in order to avoid the degradation in the areas where the tourism is practiced.
Mécanismes d'incitation et de garantie de la gouvernance territoriale dans l'industrie du champagne

L’objet de cet article est d’apporter une contribution a l’eclairage des modalites concretes de la Gouvernance Territoriale des systemes productifs alimentaires. Plus precisement, nous nous attachons a approfondir les mecanismes institutionnels qui soutiennent les processus de cooperation et de protection des actifs. Nous mobilisons a cette fin les apports de la litterature en Economie Institutionnelle sur la pluralite des mecanismes de garantie de la cooperation, que nous integrons dans une perspective historique permettant d’identifier les processus d’adaptation des accords aux evolutions des espaces qui les accueillent (North, 1990 ; Greif, 2005). En les resituant dans des jeux d’acteurs tels que decrits par l’Economie Geographique Evolutionnaire (Boschma et Frenken, 2011), nous mettons l’accent sur la dualite des mecanismes de garantie destines a specifier et a maintenir les accords pour interpreter la capacite des acteurs a agir sur leur developpement (Maze et Menard, 2010). Notre lecture de la Gouvernance Territoriale insiste sur le principe d’institutions destinees a attenuer l’incertitude en tant que premier pas du developpement economique. Cette recherche s’appuie sur une reinterpretation des relations vignoble-negoce au sein d’un systeme territorial dote d’une gouvernance particulierement elaboree, le Champagne.
Approaches to Measuring Beta Cell Reserve and Defining Partial Clinical Remission in Paediatric Type 1 Diabetes

Context: Type 1 diabetes (T1D) results from the autoimmune T-cell mediated destruction of pancreatic beta cells leading to insufficient insulin secretion. At the time of diagnosis of T1D, there is residual beta cell function that declines over the subsequent months to years. Recent interventions have been approved to preserve beta cell function in evolving T1D. Objective: The aim of this review is to summarise the approaches used to assess residual beta cell function in evolving T1D, and to highlight potential future directions. Methods: Studies including subjects aged 0 to 18 years were included in this review. The following search terms were used; “(type 1 diabetes) and (partial remission)” and “(type 1 diabetes) and (honeymoon)”. References of included studies were reviewed to determine if additional relevant studies were eligible. Results: There are numerous approaches to quantifying beta cell reserve in evolving T1D. These include c-peptide measurement after a mixed meal or glucagon stimuli, fasting c-peptide, the urinary c-peptide/creatinine ratio, insulin dose-adjusted haemoglobin A1c, and other clinical models to estimate beta cell function. Other biomarkers may have a role, including the proinsulin/c-peptide ratio, cytokines, and microRNA. Studies using thresholds to determine if residual beta cell function is present often differ in values used to define remission. Conclusions: As interventions are approved to preserve beta cell function, it will become increasingly necessary to quantify residual beta cell function in research and clinical contexts. In this report, we have highlighted the strengths and limitations of the current approaches.
Molecular marker identification, antioxidant, antinociceptive, and anti-inflammatory responsiveness of malonic acid capped silver nanoparticle

Nano-sized silver has drawn a great deal of attention in the field of health sciences owing to its remarkable therapeutic applications. Interestingly, the method applied to synthesize nanoparticles and the choice of reagents considerably influence their therapeutic potential and toxicities. Current research has explored the toxicity, anti-inflammatory, antinociceptive, and antioxidant responses of the malonic acid-capped silver nanoparticles (MA-AgNPs (C) by using sodium borohydride as a reducing agent at low temperatures by employing both in vitro and in vivo approaches. Furthermore, it has highlighted the synergistic effect of these novel compounds with conventional anti-inflammatory therapeutic agents. Acute and sub-acute toxicity analysis performed following OECD guidelines showed that the studied MA-AgNPs (C) are safer, and prominent toxic signs have not been detected at the highest studied dose of 2,000 mg/kg. Cytotoxicity evaluation through brine shrimp lethality revealed 20% lethality at the highest concentration of 169.8 μg/mL. Significantly, positive anti-inflammatory and analgesic responses alone as well as synergism with the standard were identified through in vitro as well as in vivo methods which were more potent at a lower dose (200 mg/kg). Notably synergistic outcomes were more pronounced than individual ones, indicating their prominent effect as a feasible drug delivery system. IL-6 and TNF-α assessment in excised paw tissue through RTPCR technique further supported their anti-inflammatory potential. DPPH assay revealed eminent in vitro antioxidant activity which was further corroborated by in vivo antioxidant assessment through evaluation of SOD in excised paw tissue.
DNA and RNA Stability of Marine Microalgae in Cold-Stored Sediments and Its Implications in Metabarcoding Analyses

The ever-increasing applications of metabarcoding analyses for environmental samples demand a well-designed assessment of the stability of DNA and RNA contained in cells that are deposited or buried in marine sediments. We thus conducted a qPCR quantification of the DNA and RNA in the vegetative cells of three microalgae entrapped in facsimile marine sediments and found that >90% of DNA and up to 99% of RNA for all microalgal species were degraded within 60 days at 4 °C. A further examination of the potential interference of the relic DNA of the vegetative cells with resting cyst detection in sediments was performed via a metabarcoding analysis in artificial marine sediments spiked with the vegetative cells of two Kareniaceae dinoflagellates and the resting cysts of another three dinoflagellates. The results demonstrated a dramatic decrease in the relative abundances of the two Kareniaceae dinoflagellates in 120 days, while those of the three resting cysts increased dramatically. Together, our results suggest that a positive detection of microalgae via metabarcoding analysis in DNA or RNA extracted from marine sediments strongly indicates the presence of intact or viable cysts or spores due to the rapid decay of relic DNA/RNA. This study provides a solid basis for the data interpretation of metabarcoding surveys, particularly in resting cyst detection.
Knowledge-Informed Neural Network for Nonlinear Model Predictive Control With Industrial Applications

Modern industrial process control suffers from various difficulties, such as multivariable, multiconstrained, multiobjective, and strong nonlinearity. Model predictive control (MPC) is an effective solution and is widely used in industrial processes. However, one limitation of MPC is that sufficient data are required to build accurate predictive models. To this end, this article proposes a knowledge-informed neural network MPC solution. First, a Hammerstein system structure knowledge extraction method based on sparse representation is proposed, which is able to extract system structure knowledge from a small amount of system operation data. Then, a knowledge-informed neural network model is designed, which combines the system structure knowledge to construct a neural network with a special structure, thus overcoming the problem of insufficient data during the model training. Finally, the knowledge-informed neural network model is embedded in the MPC framework, which can reduce the computational cost of rolling optimization while ensuring prediction performance. A numerical simulation and a pH neutralization process experiment are conducted to verify the feasibility and effectiveness of the proposed method.
Novel Synthesis of Prenylated Phenols and Their Antioxidant Properties

A novel method for the prenylation of phenols has been developed using 2-methyl-but-3-ene-2-ol as the prenylating agent in the presence of Amberlyst 15. The prenylated catechols and quinols showed better antioxidant activity than the corresponding non-prenylated compounds in the in vitro DPPH and lipid peroxidation assay. The resorcinol derivatives did not show significant antioxidant activity.
Current status and technical prospect of rice-duck mutualistic eco-farming in China

The eco-farming model of rice-duck mutualism is a comprehensive production technology combining the planting-breeding complex with eco-environment protection.Raising ducks in paddy fields has demonstrated positive effects on paddy ecology,such as intertilling and weeding,controlling insects and diseases,saving cost and improving soil fertility,stimulating rice growth,which significantly improves the system′s economic,social and ecological benefits.The status of the experiment and application of the technology of rice-duck mutualistic eco-farming system in China has been summarized,and some issues that need to be perfected and explored in future are put forward.pollution-free agriculture