Miracle-dz/UniFAR-FTUs huggingface dataset:
Case Report: Hip arthroplasty after fracture-related joint infection caused by extensively drug-resistant Klebsiella pneumoniae

This case-report focuses on a 23-year-old soldier suffering from a fracture-related hip joint infection (FRI) due to extensively drug-resistant Klebsiella pneumoniae and S. epidermidis. The patient underwent multiple septic revision surgeries including the removal of remaining shrapnel accompanied by last-resort antimicrobial therapy with cefiderocol and colistin. Additionally, the surgeries included repeated tissue sampling for microbiological and histopathological analysis. An antibiotic-loaded cemented filler containing cefiderocol was used to improve local antimicrobial therapy. The biopsies prior to and during hip replacement surgery confirmed successful microbe eradication. Hip arthroplasty restored hip joint function and significantly improved patient's quality of life. The utilization of a trabecular metal shell and a meta-diaphyseally anchored cementless hip stem ensured secure implant fixation and early patient mobilisation. An adjusted biofilm active oral antimicrobial therapy after arthroplasty intervention was continued to prevent early periprosthetic joint infection. This case emphasizes the difficulties of managing FRI and multidrug-resistant pathogens. It contributes valuable insight into navigating complex orthopedic cases while ensuring successful hip arthroplasty outcomes. In conclusion, early interdisciplinary collaboration, appropriate antimicrobial therapy along with tailored surgical interventions are crucial for managing such complex cases successfully.
Des cartographies de connaissances pour un pilotage des ressources humaines et des processus

La gestion des ressources humaines s'inscrit dans la strategie des organisations, desireuses de se demarquer d'une concurrence forte et de developper un avantage concurrentiel durable, au travers des connaissances et competences dont elles disposent. Or, les fonctions RH sont confrontees a une dichotomie court terme/long terme, repondant a la fois aux exigences de l'operationnel et a une necessaire gestion anticipee des hommes et de leurs competences pour repondre aux besoins presents et futurs de l'organisation. Les cartographies de connaissances, parce qu'elles permettent l'identification et la representation de champs de connaissances d'un individu ou d'un reseau d'individus, semblent pouvoir apporter une reponse a cette problematique en faisant le lien entre les RH, les metiers et l'organisation, logique de court terme et logique de long terme. A travers une etude menee chez Total, nous explorons l'impact potentiel de ces cartographies sur les processus RH, dans cette gestion a court et a long terme des ressources humaines.
10Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States

During the late Pleistocene, multiple floods from drainage of glacial Lake Missoula further eroded a vast anastomosing network of bedrock channels, coulees, and cataracts, forming the Channeled Scabland of eastern Washington State (United States). However, the timing and exact pathways of these Missoula floods remain poorly constrained, thereby limiting our understanding of the evolution of this spectacular landscape. Here we report cosmogenic ^(10)Be ages that directly date flood and glacial features important to understanding the flood history, the evolution of the Channeled Scabland, and relationships to the Cordilleran Ice Sheet (CIS). One of the largest floods occurred at 18.2 ± 1.5 ka, flowing down the northwestern Columbia River valley prior to blockage of this route by advance of the Okanogan lobe of the CIS, which dammed glacial Lake Columbia and diverted later Missoula floods to more eastern routes through the Channeled Scabland. The Okanogan and Purcell Trench lobes of the CIS began to retreat from their maximum extent at ca. 15.5 ka, likely in response to onset of surface warming of the northeastern Pacific Ocean. Upper Grand Coulee fully opened as a flood route after 15.6 ± 1.3 ka, becoming the primary path for later Missoula floods until the last ones from glacial Lake Missoula at 14.7 ± 1.2 ka. The youngest dated flood(s) (14.0 ± 1.4 ka to 14.4 ± 1.3 ka) came down the northwestern Columbia River valley and were likely from glacial Lake Columbia, indicating that the lake persisted for a few centuries after the last Missoula flood.
Holistic wetland restoration: Can participatory approaches help to reach it?

Wetlands are sites of complex interactions between humans and non-humans that have been usually treated as linear and simple systems. Awareness of their complexity and ecological importance has led to increased emphasis on their protection and restoration in a holistic way. Such holistic approaches usually claim the need to incorporate all the humans and nonhumans involved. Thus, from a complexity theory perspective, participation and involvement has been advocated as the most adequate method to reach holistic approaches within ecological restoration. However, this study claims that any holistic restoration based on participation must operate with a certain structure to be successful. Certain ontologies, communities and spaces for dialogue must be present for participation to lead to a holistic outcome. With the help of object-oriented ontology and Latour’s political ecology, a theoretical framework for participation is outlined, based on a non-dualistic ontology and the concept of place which, it is argued, enables the space needed for dialogue. This framework is explored through a case study of a wetland disturbance and restoration at Bjarnarfjörður (Strandir, Iceland), where the current Icelandic wetland restoration policy is explored and contrasted with a participatory approach to restoration. Semi-structured interviews, group meetings and a participatory GIS process were used to highlight the shortcomings of the current approach and explore the possibilities for participation at wetland restoration sites in a holistic manner. This study claims that, under the current approach, participation is not able to lead to holistic outcomes. Even though, the process of participation is still defended, as it shapes those communities towards a future allowance of holistic restoration.
An Exceptionally Active and Highly Selective Perchlorate Transporter Containing a Trimesic Amide Scaffold

We report here a series of alkyl group-modified trimesic amide molecules (TAs) with excellent anion transport activities. Among them, TA6, with the highest ion transport activity and excellent selectivity, efficiently transports anions across the membrane in the order of ClO4− > I− > NO3− > Br− > Cl−, with an EC50 value as low as 17.6 nM (0.022 mol% relative to lipid molecules) for ClO4−, which outperforms other anions by 5- to 22-folds and manifests as the best perchlorate transporter ever reported.
The archaeome in metaorganism research, with a focus on marine models and their bacteria–archaea interactions

Metaorganism research contributes substantially to our understanding of the interaction between microbes and their hosts, as well as their co-evolution. Most research is currently focused on the bacterial community, while archaea often remain at the sidelines of metaorganism-related research. Here, we describe the archaeome of a total of eleven classical and emerging multicellular model organisms across the phylogenetic tree of life. To determine the microbial community composition of each host, we utilized a combination of archaea and bacteria-specific 16S rRNA gene amplicons. Members of the two prokaryotic domains were described regarding their community composition, diversity, and richness in each multicellular host. Moreover, association with specific hosts and possible interaction partners between the bacterial and archaeal communities were determined for the marine models. Our data show that the archaeome in marine hosts predominantly consists of Nitrosopumilaceae and Nanoarchaeota, which represent keystone taxa among the porifera. The presence of an archaeome in the terrestrial hosts varies substantially. With respect to abundant archaeal taxa, they harbor a higher proportion of methanoarchaea over the aquatic environment. We find that the archaeal community is much less diverse than its bacterial counterpart. Archaeal amplicon sequence variants are usually host-specific, suggesting adaptation through co-evolution with the host. While bacterial richness was higher in the aquatic than the terrestrial hosts, a significant difference in diversity and richness between these groups could not be observed in the archaeal dataset. Our data show a large proportion of unclassifiable archaeal taxa, highlighting the need for improved cultivation efforts and expanded databases.
A Robust Mature Tomato Detection in Greenhouse Scenes Using Machine Learning and Color Analysis

A new algorithm for automatic tomato detection in regular color images is proposed, which can reduce the influence of illumination, color similarity as well as suppress the effect of occlusion. The method uses a Support Vector Machine (SVM) with Histograms of Oriented Gradients (HOG) to detect the tomatoes, followed by a color analysis method for false positive removal. And the Non-Maximum Suppression Method (NMS) is employed to merge the detection results. Finally, a total of 144 images were used for the experiment. The results showed that the recall and precision of the classifier were 96.67% and 98.64% on the test set. Compared with other methods developed in recent years, the proposed algorithm shows substantial improvement for tomato detection.
Exploring the Networks of Relationships Between the 5Cs of Positive Youth Development Through Sport

The theoretical 5Cs model (character, confidence, competence, connection and caring) is a promising theory for evaluating Positive Youth Development (PYD) through sport. Given the scarcity of studies evaluating the interrelationship between the 5Cs of PYD through sport in the Brazilian context, the aim of the present study was to explore the 5C relationship networks. The sample comprised 308 athletes aged between 14 and 24 (M=18, 5±2.35, 54.9% females), who responded to a battery of 5Cs measures in sport. Network analysis was employed, producing six clusters of items. The network graph results suggested that the items Character (2 – leader in the group; 5 – I am better than other) and Competence (32 – ability to be a leader) are central nodes, while the measures of centrality identified the coach-athlete Connection (42 – with my coach, I am ready to do my best; 43 – with my coach, I adopt a friendly stance) as having greater impact than the clusters. The results corroborated the theoretical grounding, which stresses the role of the coach-athlete relationship in PYD through sport. The practical application of these practices is presented here.
Graph Neural Networks for Skeleton-based action recognition

One of the important directions of the application of artificial intelligence based on human bone behavior recognition is also a research hotspot in the field of computer vision in recent years. Human image video not only contains complex backgrounds, but also uncertain factors such as changes in illumination and changes in the appearance of the human body, which makes behavior recognition based on image videos have certain limitations. Compared with image video, human skeleton video can well overcome the influence of these uncertain factors, so be- havior recognition based on human skeleton has received more and more attention. The human skeleton sequence not only contains the tempo- ral features, but also the spatial structure features of the human body. How to effectively extract the discriminative spatial and temporal fea- tures from the human skeleton sequence is a problem to be solved. In recent years, many methods have been applied to bone-based behavior recognition, such as Recurrent Neural Network (RNN), Convolutional Neural Network (CNN) and Graph Neural Network (GCN). This article will introduce the content and characteristics of these three methods one by one. , And conduct a comparative analysis on it.
▼Olanzapine, ▼sertindole and schizophrenia

Two 'atypical' antipsychotic drugs, olanzapine (Zyprexa - Lilly) and sertindole (Serdolect - Lundbeck), were introduced in late 1996. Both drugs are licensed for the treatment of patients with schizophrenia, which affects nearly 1% of people within their lifetime.1 Here we discuss whether olanzapine and sertindole have any advantages over conventional antipsychotic drugs2 or the other, older, 'atypical' antipsychotics, risperidone3 and clozapine.4
Pre-Harvest Factors Optimization Using Genetic Algorithm for Lettuce

The agricultural sector is facing problems on crop development due to climate change and global warming. Crops such as rice, tomato, corn, lettuce, potato, wheat, soybeans and others are affected. Through analyzing the graphical representation of data, no optimum values are observed. In this study, the suitability of the genetic algorithm in finding the best condition for producing high quality lettuce crop was determined. The parameters that were optimized are the light intensity, temperature and CO2. These parameters were essential preharvest factors for lettuce. The system selected the 50 fittest individuals based on the fitness score and then proceeds to the recombination process. A mutation has been applied to test if the solution is the global one. When the iterations had reached the required number of generation, the system stopped and gave the best condition for lettuce. Critical design on GA was done and the best fitness plot was obtained. The GA results showed that the optimum conditions for a highquality lettuce crop needs a light intensity of 175.22296 μmol/m2/s, a temperature of 19.36228 oC and a CO2 level of 803.01855 ppm.
A Comparative Study Characterizing Traffic Related Air Pollutant Concentrations at Near-Road Communities in El Paso, Texas

v TABLE OF CONTENTS . vi LIST OF TABLES . viii LIST OF FIGURES . ix CHAPTER 1: INTRODUCTION . 1 1.1. Effects of Air Pollution . 1 1.2. Influence of Near-road Emissions on Air Quality . 1 1.3. Air Quality Measurements . 2 1.4. Air Quality Near Schools . 3 1.5. Air Pollution in El Paso, Texas . 5 1.6. Problem Statement . 7 1.7. Objectives . 7 1.8. Significance of the Work . 8 1.9. Data Analysis . 8 CHAPTER 2: STUDY DESIGN . 9 2.1. Site Selection . 10 2.2. Set-up . 11 CHAPTER 3: CALIBRATION . 15 3.1. Precision . 15 3.1.1. Ozone . 16 3.1.2. Nitrogen Dioxide . 17 3.1.3. Particulate Matter . 17 3.2. Accuracy . 17 3.2.1. Ozone . 18 3.2.2. Nitrogen Dioxide . 19 3.2. 3. Particulate Matter . 21 3.3. Data Adjustments . 21
The Battle of Antibiotics: A Study of Herbal and Modern Medicine

In Thailand during the pandemic of Covid-19, it was firmly believed that a traditional herb could cure the symptoms and reduce the incubation time of the SARS-COV virus. Despite all that, there are also many other diseases and symptoms that were believed to be cured better by herbal antibiotics. This research aims to investigate the performance of herbal antibiotics, in comparison to the modern antibiotics which are internationally recognized. The research has been done by gathering 6 samples of antibiotics with 3 of modern antibiotics, Amoxicillin, Roxithromycin and Norfloxacin, and 3 of herbal antibiotics, Turmeric, Garlic, Green Chiretta (“Fah Talai Jone” in Thai language.) The medicines are added with recommended dosage per day of each, into serial diluted E. Coli cultures by using the plate pour method. All the samples were incubated for 72 hours and were taken out to collectively count the colonies. The alternative hypothesis of the research was that the modern antibiotics will perform better than the herbal antibiotics. As a result, the alternative hypothesis was proven true. Garlic and Roxithromycin work the best with 100% and the others relatively lesser. Green Chiretta on the other hand, had 32.38% efficiency which was the least.
Egg Production Characteristics of Nigerian Indigenous Chickens, Rhode Island Red and Their Crossbred Progenies

Background and Objective: The crossbreeding program in livestock production as it is the likely genetic basis of hybrid vigor. It is also expected to be one of the factors causing the genetic relationships between crossbred and purebred performance characteristics. This study was focused on egg production characteristics of pure Nigerian indigenous chickens, Rhode Island Red and their crossbred progenies in the derived guinea savanna environment of Nigeria. Materials and Methods: A total of 100 birds were sourced and used as parents for the experiment. This consists of 5 cocks and 15 hens each of naked neck-NN, normal feather-NF, frizzled feather-FF, Fulani ecotype-FE and Rhode Island Red-RIR chickens. Data were obtained on egg production characteristics (body weight at first egg, age at first egg, weight of first egg, egg number, hen day egg production and hen housed egg production). Results: The obtained results depicted a significant (p<0.05) difference in egg production parameters, frizzled feather (FF) had the lighter body weight at first egg (1258.33 g), RIR×FF comes to lay earlier (140 days) while RIR had the highest weight of first egg (45.33 g), hen-day (80.35%) and hen-housed (75.35%). The parameters on fertility and hatchability also indicated that crossbred NN×NN had the highest fertility and hatchability rates of 95.24 and 100%, respectively. Conclusion: It was concluded that RIR genetics component may be used to improve the local stocks of egg production characteristics in the derived savanna environment of Nigeria.
Methodological approaches to the creation of con-cepts of modernization of the urban territory of Lviv

The article describes the sequence of research of urban characteristics of the selected areas of the territory of Lviv and the formation of the concept of modernization of urban territories, illustrated with the results of work of Masters of Architecture according to the specialization "Urban development" in the Institute of Architecture of Lviv Polytechnic National University.
Artificial Intelligence as A Complementary Tool for Clincal Decision-Making in Stroke and Epilepsy

Neurology is a quickly evolving specialty that requires clinicians to make precise and prompt diagnoses and clinical decisions based on the latest evidence-based medicine practices. In all Neurology subspecialties—Stroke and Epilepsy in particular—clinical decisions affecting patient outcomes depend on neurologists accurately assessing patient disability. Artificial intelligence [AI] can predict the expected neurological impairment from an AIS [Acute Ischemic Stroke], the possibility of ICH [IntraCranial Hemorrhage] expansion, and the clinical outcomes of comatose patients. This review article informs readers of artificial intelligence principles and methods. The article introduces the basic terminology of artificial intelligence before reviewing current and developing AI applications in neurology practice. AI holds promise as a tool to ease a neurologist’s daily workflow and supply unique diagnostic insights by analyzing data simultaneously from several sources, including neurological history and examination, blood and CSF laboratory testing, CNS electrophysiologic evaluations, and CNS imaging studies. AI-based methods are poised to complement the other tools neurologists use to make prompt and precise decisions that lead to favorable patient outcomes.
Private Sector Activity in Hong Kong SAR and the Fed: Transmission Effects Through the Currency Board

As the U.S. Fed begins to increase the Federal Funds rate, interest rates in Hong Kong SAR will rise in tandem under the Currency Board system. While domestic economic activity in Hong Kong SAR remained resilient in previous rate hike cycles, there is a concern that the impact of higher interest rates would be larger this time due to historic high levels of leverage in both household and corporate sectors. However, macroprudential measures have contained the debt service burden among new borrowers and leverage quality of corporate sector is healthier than its peers in the region. Empirical estimations of aggregate consumption and corporate investment show that private domestic demand is likely to remain robust with the anticipated gradual increase in interest rates over the next few years and taking into account the buffers in the system.
What keeps historical theme park visitors coming? Research based on expectation confirmation theory

Culture is one of the most important factors in attracting tourists and influencing the tourist experience. In China, “theme park” is a new field of tourism research, an excellent theme park can not only drive the development of a city’s tourism industry, but also help it better publicize its history and culture. The article takes Kaifeng, China as the background, and selects the Song Dynasty historical and cultural theme park, which was established based on the traditional ink painting Qingming Riverside Drawing, as an example, to study the factors affecting tourists’ travel experience in historical and cultural theme parks, and based on which it explores the reasons for the formation of tourists’ satisfaction and post-trip behavioral intentions, to provide references and suggestions for the development of cultural theme parks from the point of view of travel experience. Based on the expectation confirmation theory, this essay introduces five constructs, namely, expectation (tourism motivation), performance (service quality), confirmation (tourism experience), satisfaction, and post-trip behavior intention, to construct a model of the factors influencing tourists’ satisfaction by tourism experience in historical theme parks and analyze the intrinsic correlation among the factors within the model. It is found that tourists’ tourism experience is mainly affected by tourism motivation and service quality, satisfaction and post-trip behavior intention are jointly determined by the above three. According to the research results, this study believes that tourism motivation, service quality, and tourism experience should be the focus of attention of the current tourist destinations, therefore, focusing on tourists’ motivation to optimize the quality of service, helping tourists to enhance the sense of tourism experience, and improving based on the above focuses is of great significance to promote the development of historical and cultural theme parks.
The Transition to Renewable Energy

The existing economics literature neglects the important role of capacity in the production of renewable energy. To fiill this gap, we construct a model in which renewable energy production is tied to renewable energy capacity, which then becomes a form of capital. This capacity capital can be increased through investment, which we interpret as arising from the allocation of energy, and which therefore comes at the cost of reduced general production. Requiring societal well-being to never decline, we describe how society could optimally elect to split energy in this fashion, the use of non-renewable energy resources, the use of renewable energy resources, and the implied time path of societal well-being. Our model delivers an empirically satisfactory explanation for simultaneous use of non-renewable and renewable energy. We also discuss the optimality of ceasing use of non-renewable energy before the non-renewable resource stock is fully exhausted.