Miracle-dz/UniFAR-FTUs huggingface dataset:
Metastatic Breast Cancer Presenting as Acute Appendicitis: A Rare Case Study and Review of Current Knowledge

This manuscript discusses a rare case of acute appendicitis caused by metastasis from invasive breast carcinoma of no special type in a 70-year-old female previously diagnosed with breast cancer. It delves into the diagnostic challenges and management complexities of such unusual clinical presentations. The paper includes an analysis of 19 documented cases, enriching the understanding of metastatic patterns and treatment strategies in breast cancer. It underlines the importance of considering a history of malignancy when diagnosing acute abdominal conditions and emphasizes a comprehensive approach in interpreting diagnostic imaging in patients with past oncological issues to effectively manage metastatic breast cancer exhibiting atypical manifestations.
Geo-Referencing and Analysis of Entities Extracted from Old Drawings and Photos Using Computer Vision and Deep Learning Algorithms

This study offers a quantitative solution that automates the creation of a historical timeline starting with old drawings from the beginning of the 18th century and ending with present-day photographs of the Old City of Jerusalem. This is performed using GIScience approaches, computer vision, and deep learning. The motivation to select the Old City of Jerusalem is the substantial availability of old archival drawings and photographs, owing to the area’s significance throughout the years. This task is challenging, as drawings, old photographs, and new photographs exhibit distinct characteristics. Our method encompasses several key components for the analyses: a 2D location recommendation engine, which detects an approximate location in the image of 3D landmarks; 2D landmarks to 3D conversion; and 2D polygonal areas to 3D GIS polylines conversion. This is applied to the segmentation of built areas. To achieve more accurate results, Meta’s Segment Anything model was utilized, which eliminates the need for extensive data preparation, training, and validation, thus optimizing the process. Using such techniques enabled us to examine the landscape development throughout the last three centuries and gain deeper insights concerning the evolution of prominent landmarks and features such as built area over time.
Efficacy of canakinumab in patients with Still’s disease across different lines of biologic therapy: real-life data from the International AIDA Network Registry for Still’s Disease

Introduction The effectiveness of canakinumab may change according to the different times it is used after Still’s disease onset. This study aimed to investigate whether canakinumab (CAN) shows differences in short- and long-term therapeutic outcomes, according to its use as different lines of biologic treatment. Methods Patients included in this study were retrospectively enrolled from the AutoInflammatory Disease Alliance (AIDA) International Registry dedicated to Still’s disease. Seventy-seven (51 females and 26 males) patients with Still’s disease were included in the present study. In total, 39 (50.6%) patients underwent CAN as a first-line biologic agent, and the remaining 38 (49.4%) patients were treated with CAN as a second-line biologic agent or subsequent biologic agent. Results No statistically significant differences were found between patients treated with CAN as a first-line biologic agent and those previously treated with other biologic agents in terms of the frequency of complete response (p =0.62), partial response (p =0.61), treatment failure (p >0.99), and frequency of patients discontinuing CAN due to lack or loss of efficacy (p =0.2). Of all the patients, 18 (23.4%) patients experienced disease relapse during canakinumab treatment, 9 patients were treated with canakinumab as a first-line biologic agent, and nine patients were treated with a second-line or subsequent biologic agent. No differences were found in the frequency of glucocorticoid use (p =0.34), daily glucocorticoid dosage (p =0.47), or concomitant methotrexate dosage (p =0.43) at the last assessment during CAN treatment. Conclusion Canakinumab has proved to be effective in patients with Still’s disease, regardless of its line of biologic treatment.
Effects of Wood Content and Modification on Properties of Wood Flour/Polybutylene Adipate Terephthalate Biocomposites

Biodegradable polymers have recently become attractive and have been increasingly used as matrix materials to replace fossil plastics due to concerns about the environmental issue. However, their application areas are limited due to their high costs and natural properties. In this study, we fabricated ecofriendly and economical polybutylene adipate terephthalate (PBAT) composites loaded with various concentrations of wood flour (WF) to investigate the effects on the PBAT and WF interfaces as well as the physical properties of the WF/PBAT biocomposites. Then, WF was acetylated with acetic anhydride, and the effect of WF acetylation on the mechanical and thermal properties of the biocomposites were investigated. The results showed that the tensile strength, tensile modulus, flexural strength and flexural modulus increased with WF loading in the composites, and acetylation could not only further increase these properties, but also increase the impact strength and elongation at break. The incorporation of WF would weaken the thermal stability of PBAT, but the thermal stability of the biocomposite could be improved after WF acetylation. The cold crystallization temperature and hydrophobicity of the WF/PBAT samples would be increased with the increasing load of the WF, while the melting enthalpy and the crystallinity of the samples reduced gradually. A morphological analysis of the modified composites revealed that the matrix exhibited greater interfacial interactions with the WF compared to the WF/PBAT. Considering the much lower cost of WF compared to PBAT, the improved properties of WF/PBAT biocomposites will make it economically competitive with other commercial polymers, and these biocomposites should have much wider application areas.
Multiple Criteria Decision Making Based on Probabilistic Interval-Valued Hesitant Fuzzy Sets by Using LP Methodology

Probabilistic interval-valued hesitant fuzzy sets (PIVHFSs) are an extension of interval-valued hesitant fuzzy sets (IVHFSs) in which each hesitant interval value is considered along with its occurrence probability. These assigned probabilities give more details about the level of agreeness or disagreeness. PIVHFSs describe the belonging degrees in the form of interval along with probabilities and thereby provide more information and can help the decision makers (DMs) to obtain precise, rational, and consistent decision consequences than IVHFSs, as the correspondence of unpredictability and inaccuracy broadly presents in real life problems due to which experts are confused to assign the weights to the criteria. In order to cope with this problem, we construct the linear programming (LP) methodology to find the exact values of the weights for the criteria. Furthermore these weights are employed in the aggregation operators of PIVHFSs recently developed. Finally, the LP methodology and the actions are then applied on a certain multiple criteria decision making (MCDM) problem and a comparative analysis is given at the end.
Coarse‐grained debris flow dynamics on erodible beds

A systematic set of flume experiments is used to investigate the features of velocity profiles within the body of coarse‐grained debris flows and the dependence of the transport sediment concentration on the relevant parameters (runoff discharge, bed slope, grain size, and form). The flows are generated in a 10 m long laboratory flume, initially filled with a layer consisting of loose debris. After saturation, a prescribed water discharge is suddenly supplied over the granular bed, and the runoff triggers a debris flow wave that reaches nearly steady conditions. Three types of material have been used in the tests: gravel with mean grain size of 3 and 5 mm, and 3 mm glass spheres. Measured parameters included: triggering water discharge, volumetric sediment discharge, sediment concentration, flow depth, and velocity profiles. The dynamic similarity with full‐sized debris flows is discussed on the basis of the relevant dimensionless parameters. Concentration data highlight the dependence on the slope angle and the importance of the quasi‐static friction angle. The effects of flow rheology on the shape of velocity profiles are analyzed with attention to the role of different stress‐generating mechanisms. A remarkable collapse of the dimensionless profiles is obtained by scaling the debris flow velocity with the runoff velocity, and a power law characterization is proposed following a heuristic approach. The shape of the profiles suggests a smooth transition between the different rheological regimes (collisional and frictional) that establish in the upper and lower regions of the flow and is compatible with the presence of multiple length scales dictated by the type of contacts (instantaneous or long lasting) between grains.
Interpretable Classification of Wiki-Review Streams

Wiki articles are created and maintained by a crowd of editors, producing a continuous stream of reviews. Reviews can take the form of additions, reverts, or both. This crowdsourcing model is exposed to manipulation since neither reviews nor editors are automatically screened and purged. To protect articles against vandalism or damage, the stream of reviews can be mined to classify reviews and profile editors in real-time. The goal of this work is to anticipate and explain which reviews to revert. This way, editors are informed why their edits will be reverted. The proposed method employs stream-based processing, updating the profiling and classification models on each incoming event. The profiling uses side and content-based features employing Natural Language Processing, and editor profiles are incrementally updated based on their reviews. Since the proposed method relies on self-explainable classification algorithms, it is possible to understand why a review has been classified as a revert or a non-revert. In addition, this work contributes an algorithm for generating synthetic data for class balancing, making the final classification fairer. The proposed online method was tested with a real data set from Wikivoyage, which was balanced through the aforementioned synthetic data generation. The results attained near-90% values for all evaluation metrics (accuracy, precision, recall, and ${F}$ -measure).
Molecular Mechanisms of Curcumin in the Pathogenesis of Metabolic Dysfunction Associated Steatotic Liver Disease

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a multifactorial condition characterized by insulin resistance, oxidative stress, chronic low-grade inflammation, and sometimes fibrosis. To date, no effective pharmacological therapy has been approved for the treatment of metabolic-associated steatohepatitis (MASH), the progressive form of MASLD. Recently, numerous in vitro and in vivo studies have described the efficacy of nutraceutical compounds in the diet has been tested. Among them, curcumin is the most widely used polyphenol in the diet showing potent anti-inflammatory and antifibrotic activities. This review aims to summarize the most important basic studies (in vitro and animal models studies), describing the molecular mechanisms by which curcumin acts in the context of MASLD, providing the rationale for its effective translational use in humans.
Adoption and Assessment of Integrated Strategies for Managing Major Insect Pests in Kharif Green gram [Vigna radiata (L.) Wilczek]

For assessing the integrated strategies towards managing insect pest of green gram the concerned experiment was executed for consecutive three years using two treatments, viz., IPM nodule and Farmer’s practice. In case of IPM module management tactics included seed treatment with fungicide (Tebuconazole 50% + Trifloxystrobin 25%) and insecticide like thiamethoxam, seed dressing with rhizobium, installation of yellow sticky traps, pheromone traps, growing border crops, applying neem based insecticides and need based application of chlorantraniliprole. In case of Farmer’s practice only two round spray of chlorpyriphos + cypermethrin were given. In all the years aphid and spotted pod borer population were significantly less compared to the farmer’s practice (mean aphid population of 2.53 per 10 cm apical twig in IPM plots against 29.37 in Farmer’s practice while pod borer population of 0.77 larva plant-1 in IPM and 4.8 in Farmer’s practice). Natural enemy population was considerably higher in IPM module (5.23 plant-1) compared to the farmer’s practice (1.36 plant-1). Higher incremental benefit cost ratio was also obtained from IPM modules.
Material Removal Mechanism and Evolution of Subsurface Defects during Nanocutting of Monocrystalline Cu

Multigroup large-scalenanocutting models of monocrystalline Cu were established by molecular dynamics simulations to investigate the influence of cutting parameters on the material removal mechanism. The formation and distribution of subsurface defect structures were revealed, and the evolution behavior of the complete prismatic dislocation loop was analyzed in depth. It was demonstrated that the chips and machined surface of monocrystalline Cu were mainly formed under the coupling effect of shearing and extrusion forces. A diamond tool with a larger edge radius or a negative rake angle could produce a noticeable suppression on the chip formation. The corresponding relationship between the location of defect atoms and the distribution of von Mises stress was studied, which indicated that the shear stress would become larger at the subgrain boundaries, dislocation lines, and the amorphous atoms than that in their nearby regions. The complete prismatic dislocation loop was formed by cross-slip between two sets of stacking faults; meanwhile, the generated multiple Lomer–Cottrell locks hindered its movement and promoted the work-hardening phenomenon. These research results are of great theoretical value to enrich the nanocutting mechanism and technology of plastic materials.
Detrital uraninite and the early Earth's atmosphere: SIMS analyses of uraninite in the Elliot Lake district and the dissolution kinetics of natural uraninite

The occurrence of rounded grains of uraninite and pyrite in pre-2.2 Ga quartz-pebble conglomerate deposits represents key evidence for the model of the low-O2 atmosphere until about 2.2 Ga. In this thesis, the relationship between detrital uraninite and paleo-pO2 level was critically evaluated by addressing the following two questions: 1) what is(are) the origin(s) of uraninite in the quartzpebble conglomerate deposits, and 2) what is the kinetic stability of uraninite and pyrite in surface environments. Isotopic (Pb and O) and chemical compositions were determined by combining two in-situ techniques, SIMS and EPMA, for ~20 μm-diameter areas of over 50 individual grains of uraninite from the Stanleigh Mine in the Elliot Lake district, Canada. Uraninite has much lower δO values of –10 to –22 ‰ than expected for their pegmatite/granite derivation. Pb-Pb ages of uraninite centered near 1.8 Ga, which is younger than the depositional age of the host Huronian Supergroup (2.2 to 2.45 Ga). Although these isotopic characteristics point to a non-detrital origin of uraninite, they are likely to have been overprinted at ~1.8 Ga or later. Because of high Th concentrations in uraninite (4 to 12 wt. % ThO2) and the previously published data on Pb isotopic compositions of galena, the uraninite is most likely to be detrital in origin. A series of laboratory experiments was conducted to determine the dissolution kinetics of uraninite as a function of pH (4 to 7), pCO2 (10 -3.5 to 10 atm), pO2 (0.2 and <0.02 atm), and Th contents (0.1 to 8 wt. % ThO2). The resulting empirical dissolution rate laws are R = {10 [H] + 10[HCO3 ]}[O2] 0.27 (mol m s) for low Th uraninite (sample FR: ThO2 = 0.4 wt. %), and
Effect of Humble Leadership on Staff Nurses’ Proactive and Innovative Work Behaviors

Background: Humble leadership has a vital role in inspiring staff nurses to achieve their goals through influencing and leading them with humility and providing atmosphere that fosters their proactive and innovative work behaviors. Aim: Study the effect of humble leadership on staff nurses’ proactive and innovative work behaviors. Subjects and Method: Research design: A descriptive correlational research design was used. Setting: The study was conducted in Intensive Care Units at Tanta University Main Hospital. All (n = 565) staff nurses working in the Intensive Care Units. Tools: Three tools were utilized for data collection, Head Nurse’s Humble Leadership Behavior Questionnaire, Proactive Work Behavior Scale, and Innovative Work Behavior Scale. Results: At Tanta University Main Hospital, the majority of staff nurses perceived that their leaders had a moderately humble overall leadership level. Also, staff nurses perceived a moderate level of overall proactive and innovative work behaviors. Conclusions: There was a statistically significant positive correlation between total staff nurses’ proactive and innovative work behavior and their humble leadership. Recommendations: Nurse managers need to develop strategies to improve their staff nurses' innovative work behavior and learn how to work proactively with problem recognition.
Late variscan tectonomagmatic activity in Western Europe and surrounding areas : the Mid-Permian Episode

The Mid-Permian Episode (MPE) was characterised by specific tectonic, magmatic, thermal, and basinal features. The large-scale strike-slip regime evolved from dextral shear in the Late Carboniferous and the Early Permian to sinistral in the mid and Late Permian. Magmatism changed abruptly at about 275 Ma from high-K calc-alkaline geochemistry during the Late Carboniferous and the Early Permian to markedly alkaline compositions later on. Metamorphism and high heat flow took place notably along the shear zones. Associated metallogeny is original (U, F-Pb-Zn veins, etc.). An unconformity induced by the so-called Saalian event can be observed in places. This tectonic pulse is illustrated in a large number of regions of Laurasia and northern Gondwana as well, notably in the Thuringian Forest, (where seminal works were performed on the mid-Permian tectonics), the Southern Alps and, more generally, the Variscan Alps, the French Massif Central, Provence, Corsica, Saar-Nahe and Lorraine, the Moroccan Meseta, etc.
In-Hospital Formula Feeding Hindered Exclusive Breastfeeding: Breastfeeding Self-Efficacy as a Mediating Factor

Breastfeeding self-efficacy (BSE), defined as a mother’s confidence in her ability to breastfeed, has been confirmed to predict the uptake of exclusive breastfeeding (EBF). Early experiences during the birth hospital stay, especially in-hospital formula feeding (IHFF), can impact both EBF and maternal breastfeeding confidence. Therefore, our objective was to examine the association between IHFF and EBF outcomes and investigate whether this association is influenced by BSE. The study included 778 infants from a larger cohort study conducted in 2021, with a one-year follow-up in rural areas of Sichuan Province, China. We used a causal mediation analysis to estimate the total effect (TE), natural direct (NDE), and nature indirect effects (NIE) using the paramed command in Stata. Causal mediation analyses revealed that IHFF was negatively associated with EBF (TE odds ratio = 0.47; 95% CI, 0.29 to 0.76); 28% of this association was mediated by BSE. In the subgroup analysis, there were no significant differences in the effects between parity subgroups, as well as between infant delivery subgroups. Our study found that IHFF hindered later EBF and that BSE mediated this association. Limiting the occurrence of in-hospital formula feeding or improving maternal breastfeeding self-efficacy is likely to improve exclusive breastfeeding outcomes.
DISCOVERY OF TIANZHUSHANIA IN DOUSHANTUO PHOSPHORITES IN WENG'AN, GUIZHOU PROVINCE

The large acanthomorphic acritarch Tianzhushania spinosa (Yin L et Li) Yin C(1988) and a new species Tianzhushania tuberifera sp. nov. are first described from the Doushantuo phosphorites in Weng'an, Guizhou Province. The former is usually preserved as globoids and their morphological character and inner structure are quite similar to those typical Tianzhushania spinosa (silicified) found in chert of the Sinian Doushantuo Formation in eastern Yangtze Gorges, Hubei Province. The distinct new species, preserved as globoids too, shows a dense inner wall with distinctly uniform tubers and stretching out one or more tube like processes. The phosphatized Tianzhushania found in Weng'an further confirms that the fossiliferous horizons in Guizhou and eastern Yangtze Gorge are coeval, which provides a new datum for studying those phosphatized spheroidal fossils.
SANet: A Self-Attention Network for Agricultural Hyperspectral Image Classification

Unlike conventional hyperspectral image (HSI) classification in general scenes, agricultural HSI classification poses greater challenges due to the increased occurrence of “same spectrum different object” and “different spectrum same object” phenomena caused by class similarities. Furthermore, the dense spatial distribution of land cover categories in agricultural scenes and the mixing of spatial–spectral features at crop boundaries add to the complexity of agricultural HSIs. To tackle these issues, we propose SANet, a network designed to enhance crop classification. SANet integrates spectral and contextual information while emphasizing self-correlation within the HSIs. It combines the spatial–spectral nonlocal block structure and the multiscale spectral self-attention (SSA) structure, allocating more attention resources to spatial and spectral dimensions and modeling the existing correlations within the spectral–spatial domain. Additionally, we introduce a two-branch spatial–spectral semantic extraction and fusion structure that can adaptively learn results from both branches. Experimental results demonstrate the promising performance of SANet in agricultural HSI classification by effectively utilizing spectral data, contextual information, and self-attention mechanisms.
Phytoplankton Community Stability as a Health Indicator of Whiteleg Shrimp in an Intensive Pond

The goal of this study was to examine and assess the stability of phytoplankton communities in connection to the different health status type of shrimp pond (healthy and diseased) in an intensive culture. The research was con - ducted in two ponds located in Probolinggo region, which had different health status until the eight week of harvest period. Several water quality variables and phytoplankton community composition were observed. Non-metric dimensional scaling and analysis of similarity were used to compare the phytoplankton community structure and water quality parameters in both ponds. In addition, the stability of phytoplankton community in these ponds was measured using species turnover rate, rate change of composition community, and community stability indices. The results showed that phytoplankton community structure and water quality factors between a diseased and healthy pond were not statistically significant. On the other hand, the phytoplankton community in the healthy pond was more stable than that of the diseased pond. Furthermore, ammonia and phosphate were found as the dominant factors affecting the phytoplankton community in the studied ponds.