Miracle-dz/UniFAR-FTUs huggingface dataset:
Acupuncture and Wound Healing

Acupuncture has been used in the treatment of wounds, but there are few experimental or clinical studies in the veterinary literature of wound treatment with acupuncture. In an experimental burn wound study of mice, two needles were inserted around the burn wound daily for 30 minutes (similar to the “circle the dragon” wound treatment used in acupuncture) for 14 days. Wound healing was monitored and compared to wound healing associated with the use of a conventional collagen wound dressing. Acupuncture significantly reduced the inflammatory response, wound size and increased the local expression of extracellular matrix proteins similar to the collagen dressing. In a clinical study of closed surgical incisions, two local points at each end of the incision and other acupoints were stimulated once post-operatively and had no subjective effects on incision healing. Most veterinary acupuncturists treating wounds would do multiple treatments and usually treat more acupoints. In an equine case series, local and acupoint stimulation with gold bead implantation resulted in healing of difficult to heal wounds on the distal limbs. Well-designed, controlled studies of acupuncture for different wound types are needed. Acupuncture is often less expensive than surgery, requires less specialized equipment and can be used safely with other treatment techniques. Inserting acupuncture needles in the region around the wound moves Qi and Blood in the region to minimize Qi/Blood Stagnation in acute wounds or relieve long-term Stagnation in chronic wounds. Further investigation is warranted to clarify the benefits and mechanisms of action of acupuncture for wound healing.
Comparative Analysis of Machine Learning Algorithms for Detecting Fake News: Efficacy and Accuracy in the Modern Information Ecosystem

In an era where the spread of fake news poses a significant threat to the integrity of the information landscape, the need for effective detection tools is paramount. This study evaluates the efficacy of three machine learning algorithms—Multinomial Naive Bayes, Passive Aggressive Classifier, and Logistic Regression—in distinguishing fake news from genuine articles. Leveraging a balanced dataset, meticulously processed and vectorized through Term Frequency-Inverse Document Frequency (TF-IDF), we subjected each algorithm to a rigorous classification process. The algorithms were evaluated on metrics such as precision, recall, and F1-score, with the Passive Aggressive Classifier outperforming others, achieving a remarkable 0.99 in both precision and recall. Logistic Regression followed with an accuracy of 0.98, while Multinomial Naive Bayes displayed robust recall at 1.00 but lower precision at 0.91, resulting in an accuracy of 0.95. These metrics underscored the nuanced capabilities of each algorithm in correctly identifying fake and real news, with the Passive Aggressive Classifier demonstrating superior balance in performance. The study's findings highlight the potential of employing machine learning techniques in the fight against fake news, with the Passive Aggressive Classifier showing promise due to its high accuracy and balanced precision-recall trade-off. These insights contribute to the ongoing efforts in digital media to develop advanced, ethical, and accurate tools for maintaining information veracity. Future research should continue to refine these models, ensuring their applicability in diverse and evolving news ecosystems.
Degradación y absorción de fuentes proteicas en la cinética ruminal de los ovinos

El objetivo de este estudio fue hacer una revisión de los resultados de investigación sobre el uso de suplementos alimenticios en el con sumo de nutrientes en ovinos. El metabolismo de las proteínas (catabolismo y anabolismo) se efectúa de modo simultáneo en los tejidos animales. El metabolismo por el tracto gastrointestinal representa el destino metabólico más grande de aminoácidos, glucosa y otros sus tratos de energía en el cuerpo del ovino. Las proteínas deben digerirse en el intestino delgado antes de ser absorbidas, su digestión se inicia en el abomaso con la digestión ácido-péptica y se completa en el intestino delgado con las enzimas pancreáticas e intestinales. La cantidad de proteína degradada en el rumen depende en gran medida de la actividad proteolítica de las bacterias ruminales, el acceso de éstas a la proteína, la resistencia y el tiempo de retención de las partículas alimenticias en el rumen. La proteína microbiana formada en el rumen pasa hacia el intestino, representando el 70-90% de N no amoniacal que ingresa al intestino. En el contexto de la suplementación los subproductos animales y harinas vegetales han incidido positivamente sobre los parámetros productivos, en el consumo y la digestibilidad de los forrajes de baja calidad y su contribución al aporte total de proteína hacia el duodeno es importante. Se ha reportado que existen variaciones en la degradabilidad ruminal y digestión intestinal de las fuentes proteicas. Se concluye que los ovinos responden adecuadamente cuando son suplementados con distintas fuentes de proteína y la respuesta está muy ligada al incremento del consumo de nutrientes, lo que está directamente vinculado con la cantidad de forraje disponible, la digestibilidad del forraje consumido y el tipo de suplemento empleado.
A workflow to model anisotropy in a vertical transverse isotropic medium

Velocity anisotropy, which is known as the directional dependency of velocities, is becoming increasingly important in subsurface imaging and characterization. Most elasticity theories consider an isotropic medium to describe the phenomena in the field of reservoir geophysics. This assumption is challenged by the reality of the subsurface which is subject to a complex geological history such as tectonic movements and changes in the differential stress that can typically introduce fractures. In some cases, these factors can make the subsurface highly anisotropic. In general, four classes of anisotropy can be defined, ranging between the two extremes of a completely isotropic medium (with two elastic constants) and a completely anisotropic medium (with 21 elastic constants). The four classes refer to specific conditions where we can reduce the number of elements of the elastic stiffness tensor. These are known as Cubic (with three independent elastic constants), Transverse Isotropic or TI (five independent elastic constants), Orthorhombic (nine independent elastic constants) and Monoclinic (13 independent elastic constants). TI is the most often used to describe sedimentary rock. Anisotropy as an extension to isotropic approaches is usually dealt with using Thomsen (1986) parameters as approximations. Thomsen (1986) suggested three parameters to correct for anisotropy effects in weakly anisotropic media. These parameters, e, δ and γ, are regularly used in all reservoir geophysics disciplines to address anisotropy effects. However, determining these three parameters is not straightforward and requires information such as laboratory data or well logs acquired in boreholes in different directions with respect to the symmetry axis of the anisotropy. The purpose of this paper is to review anisotropy in vertically isotropic media and use existing theory to model changes in the elastic stiffness tensor based on conventional well logs. Furthermore, this elastic stiffness tensor can be used to calculate the Thomsen parameters or even to model anisotropic velocities directly.
The Effects of Curcumin Gel Against Tannerella Forsythia (Clinical and Microbiological study)

Aim of the study: To determine the effects of curcumin gel on Tannerella forsythia. Materials and methods: Eleven individuals were chosen with probing pocket depths of more than or equal to 5 mm. Scaling and root planing (SRP) were done on entire mouth, then curcumin and placebo gel were applied. At baseline and third visit (after one month), bleeding on probing (BOP), probing pocket depth (PPD), and relative attachment levels (RAL) were measured with a collection of subgingival plaque. The real-time polymerase chain reaction method has been used for bacterial analysis. Results: There was a substantial lessening in the bacterial outcomes, PPD and RAL when comparing the curcumin with the placebo group, while the difference was not significant with respect to BOP. On intra-group comparison, only the test group showed a significant decrease in bacterial count, BOP, and RAL, while both groups showed a significant reduction in PPD. Conclusion: Curcumin gel has an antimicrobial impact on T.Forsythia and a significant effect on improving BOP, PPD, and RAL.
Cell Surface Modification-Mediated Primary Intestinal Epithelial Cell Culture Platforms for Assessing Host–Microbiota Interactions

Background: Intestinal epithelial cells (IECs) play a crucial role in regulating the symbiotic relationship between the host and the gut microbiota, thereby allowing them to modulate barrier function, mucus production, and aberrant inflammation. Despite their importance, establishing an effective ex vivo culture method for supporting the prolonged survival and function of primary IECs remains challenging. Here, we aim to develop a novel strategy to support the long-term survival and function of primary IECs in response to gut microbiota by employing mild reduction of disulfides on the IEC surface proteins with tris(2-carboxyethyl)phosphine. Methods: Recognizing the crucial role of fibroblast-IEC crosstalk, we employed a cell surface modification strategy, establishing layer-to-layer contacts between fibroblasts and IECs. This involved combining negatively charged chondroitin sulfate on cell surfaces with a positively charged chitosan thin film between cells, enabling direct intercellular transfer. Validation included assessments of cell viability, efficiency of dye transfer, and IEC function upon lipopolysaccharide (LPS) treatment. Results: Our findings revealed that the layer-by-layer co-culture platform effectively facilitates the transfer of small molecules through gap junctions, providing vital support for the viability and function of primary IECs from both the small intestine and colon for up to 5 days, as evident by the expression of E-cadherin and Villin. Upon LPS treatment, these IECs exhibited a down-regulation of Villin and tight junction genes, such as E-cadherin and Zonula Occludens-1, when compared to their nontreated counterparts. Furthermore, the transcription level of Lysozyme exhibited an increase, while Mucin 2 showed a decrease in response to LPS, indicating responsiveness to bacterial molecules. Conclusions: Our study provides a layer-by-layer-based co-culture platform to support the prolonged survival of primary IECs and their features, which is important for understanding IEC function in response to the gut microbiota.
Salivary and Serum Concentrations of Cortisol and Testosterone at Rest and in Response to Intense Exercise in Boys Versus Men.

This study compared salivary and serum concentrations of testosterone and cortisol at rest and in response to intense multitask exercise in boys and men. Early morning saliva and venous blood samples were obtained before and 15 minutes after exercise from 30 competitive swimmers (15 boys, age 14.3 [1.9] y; 15 men, age 21.7 [3.1] y). Exercise included a swim-bench maximal strength task and an all-out 200-m swim, followed by a high-intensity interval swimming protocol (5 × 100 m, 5 × 50 m, and 5 × 25 m). At baseline, fasting testosterone (but not cortisol) concentration was higher in men than boys in serum and saliva (P < .05). Salivary and serum cortisol increased postexercise, with a greater increase in men compared with boys (men: 226% and 242%; boys: 78% and 64%, respectively; group by time interaction, P < .05). Testosterone was reduced postexercise in serum but not in saliva (men: -14.7% and 0.1%; boys: -33.9% and -4.5%, respectively, fluid by time interaction, P < .01). Serum and salivary cortisol (but not testosterone), preexercise and postexercise values were strongly correlated in both men and boys (r = .79 and .82, respectively; P < .01). In summary, early morning high-intensity exercise results in a decrease in testosterone in serum, but not saliva, and an increase in cortisol irrespective of the fluid used, in both boys and men. When examining immediate postexercise changes, the lack of correlation in testosterone between saliva and serum suggests that saliva may not be an appropriate fluid to examine changes in testosterone. The high correlation observed between serum and saliva for cortisol indicates that, in both boys and men, saliva may be used to monitor the immediate cortisol response to exercise.
Metabolomics reveal root differential metabolites of different root-type alfalfa under drought stress

Introduction Alfalfa (Medicago sativa L.) is the favored premium feed ingredient in animal husbandry production which is in serious jeopardy due to soil moisture shortages. It is largely unknown how different root types of alfalfa respond to arid-induced stress in terms of metabolites and phytohormones. Methods Therefore, rhizomatous rooted M. sativa ‘Qingshui’ (or QS), tap-rooted M. sativa ‘Longdong’ (or LD), and creeping rooted M. varia ‘Gannong No. 4’ (or GN) were investigated to identify metabolites and phytohormones responses to drought conditions. Results We found 164, 270, and 68 significantly upregulated differential metabolites were categorized into 35, 38, and 34 metabolic pathways in QS, LD, and GN within aridity stress, respectively. Amino acids, organic acids, sugars, and alkaloids were the four categories of primary differential metabolites detected, which include 6-gingerol, salicylic acid (SA), indole-3-acetic acid (IAA), gibberellin A4 (GA4), abscisic acid (ABA), trans-cinnamic acid, sucrose, L-phenylalanine, L-tyrosine, succinic acid, and nicotinic acid and so on, turns out these metabolites are essential for the resistance of three root-type alfalfa to aridity coercing. Discussion The plant hormone signal transduction (PST) pathway was dramatically enriched after drought stress. IAA and ABA were significantly accumulated in the metabolites, indicating that they play vital roles in the response of three root types of alfalfa to water stress, and QS and LD exhibit stronger tolerance than GN under drought stress.
Quantifying Swarm Resilience with Simulated Exploration of Maze-Like Environments

Artificial swarms have the potential to provide robust, efficient solutions for a broad range of applications from assisting search and rescue operations to exploring remote planets. However, many fundamental obstacles still need to be overcome to bridge the gap between theory and application. In this characterization work, we demonstrate how a human rescuer can leverage minimal local observations of emergent swarm behavior to locate a lone survivor in maze-like environments. The simulated robots and rescuer have limited sensing and no communication capabilities to model a worst-case scenario. We then explore the impact of fundamental properties at the individual robot level on the utility of the emergent behavior to direct swarm design choices. We further demonstrate the relative robustness of the simulated robotic swarm by quantifying how reasonable probabilistic failure affects the rescue time in a complex environment. These results are compared to the theoretical performance of a single wall-following robot to further demonstrate the potential benefits of utilizing robotic swarms for rescue operations.
Exploring the Influence of Social Class and Sex on Self-Reported Health: Insights from a Representative Population-Based Study

This study investigates the intricate interplay between social class, sex, and self-reported health (SRH) using data from the European Health Survey of Spain 2020 (EESE2020). Employing a cross-sectional design and a representative sample of 22,072 individuals, the analysis explores the persistence of disparities after adjusting for covariates, focusing on health-related variables. The study employs logistic regression models and directed acyclic graphs (DAGs) to delineate the direct effects of social class and sex on SRH, identifying a minimum adjustment set to control for confounding variables. Results reveal a gradient effect of social class on SRH, emphasizing the enduring impact of socioeconomic factors. Sex-based disparities in SRH diminish after considering additional health-related variables, highlighting the importance of a holistic approach. DAGs serve as transparent tools in disentangling complex relationships, guiding the identification of essential covariates. The study concludes that addressing health inequalities requires comprehensive strategies considering both individual health behaviours and socio-economic contexts. While recognizing limitations, such as the cross-sectional design, the findings contribute to a nuanced understanding of health disparities, informing evidence-based interventions and policies for a more equitable healthcare system.
Wordle word difficulty classification based on K-means

Wordle is a popular word-guessing game, and the analysis of Wordle games will play an important role in updating its iterations. In this paper, a word difficulty classification model based on K-means cluster analysis is developed. Clustering the dataset of the number of times required for word guessing, the words can be classified into three categories according to their difficulty: hard, medium and easy, with the corresponding labels of 3, 2 and 1. The attributes of the words in each category were counted and analyzed to arrive at the following: 1) The more common the word, the less difficult it was. 2) The more repeated letters in the word, the more difficult it was. 3) The experiment substitutes the example word EERIE into the model and the difficulty classification result is medium. The profile coefficient index of the model is 0.372. The cluster analysis method applied in this paper has good training results and is suitable as technical support for Wordle game analysis.
Energy Management System: The Engine for Sustainable Development and Resource Optimization

In the background of traditional energy sources, people primarily rely on fossil fuels for electricity generation, but this leads to environmental issues and energy dependency. Therefore, the introduction of the Energy Management System (EMS) becomes crucial, which helps optimize electricity distribution and management to integrate new energy sources effectively, achieving a more sustainable, stable, and efficient electricity supply. It is not just a simple technical solution, but is a strategic approach aimed at optimizing the use and allocation of energy resources to maximize efficiency as well. The intelligent management provided by the EMS enables collaboration between new energy sources and the traditional power grid, reducing electricity costs and decreasing carbon emissions. This overview aims to delve into the core concepts, technological applications, and future trends of the EMS. It will comprehensively analyze the practical applications of the EMS in various fields from various perspectives, including system architecture and data analysis methods, and provide an in-depth understanding of their positive impact on energy efficiency, environmental sustainability, and economic development.
Scleroderma Associated With Organising Pneumonia and Polyarthritis: A Report of a Rare Case

Cryptogenic organising pneumonia (COP) is a form of idiopathic diffuse interstitial lung disease (ILD) that develops in response to a variety of unknown irritants. An essential component of the development of organising pneumonia (OP) is damage to type II pneumocytes and the alveolar basement membrane. An autoimmune illness called systemic sclerosis (SSc) has a significant death rate from cardiopulmonary involvement such as pulmonary hypertension and ILD. Arthritis is an autoimmune disorder, in which the patients experience extra-articular symptoms such as ILD during the course of their disease, and COP frequently coexists with these conditions. It is exceedingly uncommon for OP to occur as the initial sign of arthritis, and its clinical characteristics are still unclear. Scleroderma and inflammatory polyarthritis related to COP are presented in this report.
REEBOX PRO: A forward model simulating melting of thermally and lithologically variable upwelling mantle

The compositions and volumes of basalts erupted in divergent margin environments provide a record of the thermal, chemical, and dynamical state of their mantle source regions. To relate basalt compositions and volumes to the underlying thermochemical and dynamical state of their mantle source regions, we have developed REEBOX PRO, a compiled stand‐alone application that simulates adiabatic decompression melting of passively or actively upwelling mantle containing up to five distinct lithologies. The model calculates melt compositions using thermodynamic and experimental constraints on the melting behaviors and mineral‐melt partitioning behavior of homogeneous and lithologically heterogeneous mantle sources containing anhydrous peridotite, hydrous peridotite, harzburgite, and/or silica‐saturated/‐undersaturated pyroxenite. Key model outputs include the mean composition and crustal thickness for the bulk basaltic crust, calculated for passive and active upwelling scenarios. Here, we present the mathematical formulations underlying the model and benchmark it against existing hydrous melting models and models for mid‐ocean ridge basalt formation. We show that the hydrous and anhydrous peridotite melting models incorporated in REEBOX PRO capture the essential differences in basalt composition and volume demonstrated by previous models, and constrain the ambient mantle beneath the global spreading ridge system to be between 1319 and 1366°C, depending on the relative fertility and/or water content of the mid‐ocean ridge mantle source. We also show how model outputs may be manipulated outside of the modeling program to calculate nontraditional melt mixing scenarios. These examples highlight the flexibility of REEBOX PRO for simulating melt generation within a range of geodynamical contexts.
Stages and characteristics of grassland rodent pests control and research in China

Based on the accumulation knowledge of teaching,research,practice of governments,and production managements in the city/county and township levels,this study was made on the development history of grassland rodent pests control and research.Five developing stages of grassland rodent pests control and research were proposed after comparative analysis,including ecological regulation stage,grassland rodent pests control based on hygienic epidemic prevention stage,chemical pesticides oriented stage,grassland integrated pests management(IPM) stage,and accurate and sustainable control stage.Each stage period was divided by transitional events,the representative countermeasures,prevention and control technologies,and the monumental significant academic activities.Besides,important works were also summarized in this study.
A new pterosaur specimen from the Upper Tunbridge Wells Sand Formation (Cretaceous, Valanginian) of southern England and a review of Lonchodectes sagittirostris (Owen 1874)

Abstract A specimen of a pterodactyloid pterosaur from the Upper Tunbridge Wells Sand Formation (Early Cretaceous, Valanginian) of Bexhill, East Sussex, southern England is described. It comprises a small fragment of jaw with teeth, a partial vertebral column and associated incomplete wing bones. The juxtaposition of the bones suggests that the specimen was originally more complete and articulated. Its precise phylogenetic relationships are uncertain but it represents an indeterminate lonchodectid with affinities to Lonchodectes sagittirostris (Owen 1874) which is reviewed here, and may belong in Lonchodraco Rodrigues & Kellner 2013. This specimen is only the third record of pterosaurs from this formation.