Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of fish size on post-stocking mortality and growth rate of brown trout (Salmo trutta m. fario L.) fry

The study was aimed at comparing mortality and growth rate of the brown trout fry released, in autumn 2001 and spring 2002, to three tributaries of River Kamienica Nawojowska (the River Dunajec system in southern Poland). The released fish were tagged by adipose fin clipping and Alcian Blue injection. The recapture operations were conducted on 1 March and 2 September 2002. The fry released in autumn showed a higher daily instantaneous mortality rate than that found in the brown trout released in spring. The daily instantaneous growth rate was distinctly lower in the fish released in autumn than in those stocked in spring. The daily instantaneous mortality and growth rates were significantly dependent on the fry size.
Children with Developmental Coordination Disorder : Strategies for Success

Contents * Preface * Introduction * Strategies for Success: Working with Children with Developmental Coordination Disorder * Developmental Coordination Disorder: What Is It? * Identifying Developmental Coordination Disorder: Consistency Between Tests * Treatment of Children with Developmental Coordination Disorder: What Is the Evidence? * Cognitive Orientation to Daily Occupational Performance (CO-OP): Part I-Theoretical Foundations * Cognitive Orientation to Daily Occupational Performance (CO-OP): Part II-The Evidence * Cognitive Orientation to Daily Occupational Performance (CO-OP): Part III-The Protocol in Brief * Cognitive Strategies and Motor Performance in Children with Developmental Coordination Disorder * Clinical Concerns * Passport to Learning: A Cognitive Intervention for Children with Organizational Difficulties * Index * Reference Notes Included
Incorporating H-k Stacking with Monte Carlo Joint Inversion of Multiple Seismic Observables: A Case Study for the Northwestern US

Accurately determining the seismic structure of the deep crust of continents is crucial for understanding the geological record and continental dynamics. However, traditional surface wave methods often face challenges in solving the trade-oﬀs between elastic parameters and discontinuities. In this work, we present a new approach that combines two established inversion techniques, receiver function H-? 5; stacking and joint inversion of surface wave dispersion and receiver function waveforms, within a Bayesian Monte Carlo (MC) framework to address these challenges. As demonstrated by the synthetic test, the new method greatly reduces trade-oﬀs between critical parameters, such as the deep crustal Vs, Moho depth, and crustal Vp/Vs ratio. This eliminates the need for assumptions regarding crustal Vp/Vs ratios in joint inversion, leading to a more accurate outcome. Furthermore, it improves the precision of the upper mantle velocity structure by reducing its trade-oﬀ with Moho depth. Additional notes on the sources of bias in the results are also included. Application of the new approach to USArray stations in the Northwestern US reveals consistency with previous studies and also identiﬁes new features. Notably, we ﬁnd elevated Vp/Vs ratios in the crystalline crust of regions such as coastal Oregon, suggesting potential maﬁc composition or ﬂuid presence. Shallower Moho depth in the Basin and Range indicates reduced crustal support to the topography. The uppermost mantle Vs, averaging 5 km below Moho, aligns well with the Pn-derived Moho temperature map, oﬀering the potential of using Vs as an additional constraint to Moho temperature and crustal thermal properties.
Indications and Findings of Upper Gastrointestinal Endoscopy at a Tertiary Hospital in Ethiopia: A Cross-Sectional Study

Background Gastrointestinal disease is a significant global health problem. Symptoms related to digestive system diseases negatively affect quality of life and impose a significant economic impact. Upper gastrointestinal symptoms are common in the Ethiopian population, and the associated pathologies are diverse. Real-time endoscopic visualization of the upper gastrointestinal tract is crucial for diagnosis. However, local data on the indications for endoscopic evaluation and the common underlying pathologies are limited. This study aimed to assess the common indications and upper gastrointestinal endoscopic findings of patients presenting to Saint Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia. Methods A cross-sectional study was conducted by reviewing the complete records of patients who underwent upper gastrointestinal endoscopic evaluation between January 2012 and December 2019. A structured checklist was used to screen records for completeness. Data were analyzed using Statistical Package for the Social Sciences software version 25. Chi-square test was used to compare variables, with statistical significance set at P < 0.05. Results A total of 5753 patients underwent complete upper gastrointestinal tract endoscopic evaluation during the study period. The median age of the patients was 37 years. Males accounted for 63.4% of the patients. Dyspepsia (27.8%) was the most common indication for upper gastrointestinal endoscopic evaluation, followed by upper gastrointestinal bleeding (17.1%), and screening for varices (16.8%). Esophageal varices (35.8%), gastritis (18.1%), and duodenal ulcers (10.6%) were the most common pathologies found on esophagus, stomach, and duodenum, respectively. Common upper gastrointestinal pathologies are predominant among males and patients in their third decade of life. Conclusion Dyspepsia was the most common indication for endoscopic evaluation of the upper gastrointestinal tract. Esophageal varices were the most common pathological finding, followed by gastroesophageal reflux disease, gastritis, portal hypertensive gastropathy, duodenal ulcer, and hiatal hernia. Esophagogastroduodenoscopy remains a vital tool for the diagnosis of pathologies of the upper gastrointestinal tract.
Managing demand in general practice

This is the third of five articles on ways of managing demand for health care. Increasing patient expectations are placing strains on general medical services. While empirical evidence for increasing demand is difficult to establish, the population's use of primary care services has changed and will continue to change in response to demographic and technological pressures. Consultation rates have increased slightly over the past 10 years but out of hours calls have escalated more dramatically. Most chronic diseases can be managed with little recourse to specialist support, but patients are increasingly aware of diagnostic and therapeutic advances. The information revolution has fuelled demands for user friendly services of constantly improving quality across the public sector. Users seek appropriate information skilfully communicated by the health professional of their choice. Increasingly, people want to be involved in decisions about their management. The sense of a growing gap between what their patients want and what the service can afford provides a stressful undercurrent in the working lives of general practitioners. The advent of fundholding heralded a major shift of control over the allocation of health service resources to general practitioners. These powers are set to increase and with them new budgetary responsibilities. This paper analyses approaches to demand management which reflect both the changing relationship between general practitioners and their patients and the changing interface between primary and secondary care. With the development of more graduated pathways of access through the health system, these interfaces are blurring. How general practitioners manage needs expressed at first contact can influence patients' future self care; how they manage the interface with secondary care adds to pressure in this sector. #### Summary points The advent of primary care groups will involve all general practitioners in resource management Multifaceted approaches are required that affect demand at all points along the path …
A YOLOV8-BASED APPROACH FOR STEEL PLATE SURFACE DEFECT DETECTION

Hot-rolled steel strips are a commonly used product in both production and daily life. However, the manufacturing process inevitably leads to the occurrence of surface defects. To solve this problem, Our method uses YOLOV8 and squeeze-and-excitation (SE) attention mechanism to detect surface defects in hot-rolled steel strips. Our method balances accuracy and real-time performance, while detecting four common surface defects. The method has an average accuracy of 90,9 % and a maximum accuracy of 98,5 % for detecting a single category of surface defects. Experimental results confirm good performance of our proposed method in classifying and localizing surface defects in hot-rolled steel strips, and has the potential for broad application and promotion.
The Cerros del Rio volcanic field

Every fall since 1950, the New Mexico Geological Society (NMGS) has held an annual Fall Field Conference that explores some region of New Mexico (or surrounding states). Always well attended, these conferences provide a guidebook to participants. Besides detailed road logs, the guidebooks contain many well written, edited, and peer-reviewed geoscience papers. These books have set the national standard for geologic guidebooks and are an essential geologic reference for anyone working in or around New Mexico.
Flow-based Botnet Detection with AI Models

This paper outlines the generalized framework for building end-to-end botnet network activity detection systems using artificial intelligence (AI) techniques. Network flows reconstruction was used as a primary feature-extraction method and different AI classifiers were considered for achieving better detection rates. The results of the latest research by other authors in the field are incorporated to implement a more efficient approach for botnet discovery. The implementation of the described intrusion detection approach was tested on a dataset with real botnet activity traces. The performance metrics for different AI classification models were obtained and analyzed in detail. Different data preprocessing techniques were tried and described which helped to improve the results even further. Some options for future enhancement of network feature selection were proposed as well. Finally, the comparison of the obtained performance metrics was drawn against the results provided by other researchers in this field, demonstrating the appreciable improvements of CNN-and LSTM-based classification of network flows data organized as time-series.
metric for HEVC compression distortion estimation in depth maps

Multiview video plus depth (MVD) is the most popular 3D video format due to its efﬁcient compression and provision for novel view generation enabling the free-viewpoint applications. In addition to color images, MVD format provides depth maps which are exploited to generate intermediate virtual views using the depth image based rendering (DIBR) techniques. Compression affects the quality of the depth maps which in turn may introduce various structural and textural distortions in the DIBR synthesized images. Estimation of the compression related distortion in depth maps is very important for a high quality 3D experience. The task becomes challenging when the corresponding reference depth maps are unavailable e.g., when evaluating the quality on the decoder side. In this paper, we present a no-reference quality assessment algorithm to estimate the distortion in the depth maps induced by compression. The proposed algorithm exploits the depth saliency and local statistical characteristics of the depth maps to predict the compression distortion. The proposed ‘depth distortion evaluator’ (DDE) is evaluated on depth videos from standard MVD database compressed with the state-of-the-art high ef-ﬁciency video coding (HEVC) at various quality levels. The results demonstrate that DDE can be used to effectively estimate the compression distortion in depth videos.
A qualitative descriptive study of Thai fathers’ experiences in supporting their partners’ breastfeeding

Background The crucial role of fathers in the well-being of mothers and infants is widely acknowledged. This study focuses on the specific context of how Thai fathers support their partners in breastfeeding, with the goal of gaining a deeper understanding of the strategies they employ in providing this support. Objective This study aimed to explore the experiences of fathers in supporting their partners in breastfeeding. Methods The study used a qualitative descriptive design from December 2018 to February 2020. Nineteen Thai fathers were purposefully selected, each with partners and infants who did not face any complications that would serve as barriers to breastfeeding. Data collection occurred at vaccination clinics and family planning wards in two major hospitals in Chiang Mai province, Thailand. The data were collected through in-depth interviews, and a thematic analysis approach was employed for data analysis. Results Four themes emerged: a) Facing barriers to breastfeeding support, b) Believing in the value of breast milk, c) Seeking ways to increase milk supply, and d) Making an effort to support continued breastfeeding. Conclusion Thai fathers demonstrated a strong eagerness to support their partners in sustaining breastfeeding. Their willingness highlights the importance of nurses, midwives, and other healthcare providers providing additional education and support to empower them as supportive partners to mothers.
A refinement of the structure of ferritungstite from Kalzas Mountain, Yukon, and observations on the tungsten pyrochlores

Ferritungstite occurs at the Flo property on Kalzas Mountain, near Mayo, Yukon. It is hosted by ferberite-bearing quartz veins, which form a stockwork in tourmalinized metasediments of the Grit Unit of the Windermere Supergroup. The ferritungstite replaces ferberite, and lines solution cavities, cleavages and crystal margins of the ferberite. Crystals are yellow to orange to brown octahedra up to 0.1 mm across. There are two generations of ferritungstite: an early Cs-bearing^generation, andalaterCs-freeone.Thecrystalstructureof Cs-freeferritungstite, Fd3m,withanacelledgeof 10.352(1)A,hasbeen refined to R = 1.957o, wR = 2.307o for 84 observed reflections (Mo(o radiation). Ferritungstite is isostructural with pyrochlore, with stnrctural properties closest to those of the variety having the defect pyrochlore structure. The sample studied is similar to kalipyrochlore: it has HrO dominant at the pyrochloreA and Q sites, tungsten dominant at the B site, and O and OH at the O site. On the basis of electron-microprobe and X-ray-diffraction data the formula is ([H2O]6.reCan.s6Nao.oz)x.or 1Wr.n6Fe3i6. 5a):z(O4.70OH130)>6([H2O]0.80K0.20)>r. Ferritungstite is part of a potential subgroup of tungsten pyrochlores; nomenclature problems prevent formal inclusion of the tungsten pyrochlores into the pyrochlore group at present.
MIT Open Access Articles Personality influences temporal discounting preferences: Behavioral and brain evidence

Personality traits are stable predictors of many life outcomes that are associated with important decisions that involve tradeoffs over time. Therefore, a fundamental question is how tradeoffs over time vary from person to person in relation to stable personality traits. We investigated the influence of personality, as measured by the Five-Factor Model, on time preferences and on neural activity engaged by intertemporal choice. During functional magnetic resonance imaging (fMRI), participants made choices between smaller-sooner and larger-later monetary rewards. For each participant, we estimated a constant-sensitivity discount function that dissociates impatience (devaluation of future consequences) from time sensitivity (consistency with rational, exponential discounting). Overall, higher neuroticism was associated with a relatively greater preference for immediate rewards and higher conscientiousness with a relatively greater preference for delayed rewards. Specifically, higher conscientiousness correlated positively with lower short-term impatience and more exponential time preferences, whereas higher neuroticism (lower emotional stability) correlated positively with higher short-term impatience and less exponential time preferences. Cognitive-control and reward brain regions were more activated when higher
1 Clinical, immunological and virological characterization of COVID-19 patients that test re-positive for 1 SARS-CoV-2 by RT-PCR 2

COVID-19 pandemic is underway. Some COVID-19 cases re-tested positive for SARS-CoV-2 RNA after 22 discharge raising the public concern on their infectivity. Characterization of re-positive cases are urgently needed 23 for designing intervention strategies. Clinical data were obtained through Guangdong COVID-19 surveillance network. Neutralization antibody titre 26 was determined using a microneutralization assay. Potential infectivity of clinical samples was evaluated after the 27 cell inoculation. SARS-CoV-2 RNA was detected using three different RT-PCR kits and multiplex PCR with 28 nanopore sequencing. Re-positive SARS-CoV-2 was not caused by the secondary infection and was identified in around 14% of 37 discharged cases. A robust Nabs response and a potential virus genome degradation were detected from nearly all 38 re-positive cases suggesting a lower transmission risk, especially through a respiratory route. Appropriate design intervention strategies on COVID-19 has been largely relied on how well we understand the characteristics of the SARS-CoV-2 infection. Re-positive of viral RNA in some discharged cases could raise a challenge for disease interventions which means a prolonged isolation phase and a more requirement on hospital isolation facilities. Our study result shows a comparable Nab response in re-positive cases comparing to other COVID-19 cases. More importantly, none of infective strains could be successfully isolated and no intact viral genome could be sequenced from all re-positive cases samples highlighting a lower risk for disease transmission from such cases. The additional educations related on SARS-CoV-2 re-positive should be performed to calm down the public panic and allocate of limited medical resources.
Educational Chat Bot Using Rasa

–– Digitization is developing society into a "mobile-first" population. Now-a-days the popularity of networking applications is increasing, due to this chatbots are playing acrucial role in this mobility-driven transition. A chatbot is a software applicationthat processes human conversation, allowing humans to interact with digital devices as if they were communicating with a real person. Chatbot analyses the inputted text and matches it with predefined data called "intents," which are categorized to manage the conversation. Admission to a college or university is a big deal; it raises so many questions in our hearts that we get confused every time we think about it. A major problem faced by students is the absence of an inquiry person as well as not getting a solution in real time and waiting for days to get a response to a simple query. The proposed model consists of a system that is an AI-based conversational bot and can provide responses to students' queries with high accuracy in real time. We will use Rasa, an opensource platform that will allow us to create, train, and test our chatbot model, as well as deploy it via a web interface to make it more interactive for development. Rasa consists of two components Rasa NLU and Rasa Core.This paper addresses the design and implementation Of a Chatbot system using RASA frame work and understanding its important tools. This conversational agent can be used in educational institutions as well as in places where inquiry becomes a time consuming task.
Spatial expression of an mRNA encoding Tie2-agonist in the capillary 1 endothelium of the lung prevents pulmonary vascular leakage 2

19 Angiopoietin ligands Ang1 and Ang2 and the Tie2 receptor tyrosine kinases form an 20 endothelial signaling pathway regulating vascular homeostasis and controlling vessel 21 permeability, inflammation and angiogenic responses. Whereas Ang1-mediated Tie2 22 activation reduces inflammation and endothelial permeability, its antagonist, Ang2 increases 23 it. Increased plasma Ang2 levels are associated with poor outcomes in patients with acute lung 24 injury (ALI), as well as in acute respiratory distress syndrome (ARDS). 25 In the study presented here we tested the effect of a novel synthetic, nucleoside-modified 26 mRNA-76 encoding for a hyperactive Ang1 derived fusion protein (COMP-Ang1) on 27 attenuating post-inflammation vascular leakage. COMP-Ang1 mRNA was formulated into a 28 cationic lipid nanoparticle (cLNP) using an optimized mixture of three different lipids and a 29 microfluidic mixing technology. After intravenous injection, the respective mRNA-loaded LNPs 30 were found to be delivered predominantly to the endothelial cells of the lung, while sparing 31 other vascular beds. Also, the specific multimeric folding of the COMP-Ang1 protein complex 32 appeared to be pivotal for its activity in preventing vascular leakage and in restoring the 33 alveolar-endothelial barrier function in the inflamed and injured pulmonary vasculature. The 34 mode of action of mRNA-76, such as its activation of the Tie2 signal transduction pathway, 35 was tested by pharmacological studies in vitro and in vivo by systemic administration in 36 respective mouse models. mRNA-76 was found to prevent lung vascular leakage/lung edema 37 as well as neutrophil infiltration in an LPS-challenging model. 38 affect organ biodistribution and cell specificity of the mRNA delivery, namely size, surface charge, pKa of the lipids, lipid composition and mRNA/lipid ratio, PEGylation We show that our mRNA-76 formulated in cationic lipid-nanoparticles (cLNPs) enable Tie2 activation by paracrine and autocrine COMP-Ang1 expression in vivo. Our cationic LNP formulations are based on lipoplex formulations previously described, for siRNA in vivo delivery to the pulmonary endothelium Expression of mRNA-76 directed COMP-Ang1 was analyzed by Western
Research on WGAN-based Image Super-resolution Reconstruction Method

ÐNowadays, obtaining information from images is one of the main ways in which people obtain information. However, the images are affected by the acquisition of hardware equipment and transmission technology, which may result in the loss of certain data and the resolution to be reduced. How to recover low-resolution images into high-resolution images has grown to be a popular area of research for image processing. Deep learning techniques can discover more expressive features through adaptive learning from the dataset. However, there are problems with too many deep network parameters, blurred reconstructed images, and obvious human traces. To address these issues, this essay suggests the Deep Re-cursive Residual Subpixel Wasserstein Generative Adversarial Network (DRRSWGAN) using Deep Recursive Residual Sub-pixel Network (DRRSN) in the generative network to solve the problems of a large number of network parameters, relatively smooth reconstructed images and the presence of human traces. The Wasserstein Generative Adversarial Network (WGAN) is used in the discriminative network to improve the discriminative network of the GAN for the problem of training instability. Removing the Sigmod layer from the network, optimizing the loss function, and using the RMSProp algorithm for gradient optimization, allows the network to be more stable during training and better image reconstruction. The outcomes of the trial indicate this method improves both PSNR and SSIM metrics, and the image reconstruction results are better in terms of subjective perception.