Miracle-dz/UniFAR-FTUs huggingface dataset:
Book Review: Translating China as Cross-Identity Performance by James St. Andre?

Ever since the renewal of interest in metaphors prevailed in the mid-20th century, related research has empowered metaphors to possess more theoretical implications rather than to function as mere linguistic representations. The following decades bear witness to how metaphors are integrated into contemporary academic discussions and what roles the metaphor theory, having been continuously practised and enriched, plays in dealing with cognitive, linguistic, and sociocultural issues. Relevant works of importance are not only limited to more classic ones, such as Metaphor and Thought (1979) edited by Andrew Ortony, Metaphors We Live By (1980) written by George Lakoff and Mark Johnson, but also those more recently published, such as Stern Josef’s Metaphor in Context (2000), and Denis Donoghue’s Metaphor (2014). Given this academic context, St. Andre? ’s Translating China as Cross-Identity Performance is another worthwhile attempt in venturing the frontier of metaphor theory by conceptualizing translation with metaphors, during which an academic model is set for employing metaphors to theorize a particular discipline and to investigate specific disciplinary cases.
Sirosis Hepatis - Reversibel atau Irreversibel?

Sirosis hepatis adalah tahap akhir penyakit hati dengan berbagai penyebab, antara lain kelainan metabolik atau infeksi hepatitis B dan hepatitis C. Hingga saat ini, sirosis hepatis diyakini sebagai proses tidak reversibel, yang berujung dengan transplantasi hati. Namun, seiring dengan perkembangan teknologi dan pemahaman tentang patogenesis, sirosis hepatis mungkin bersifat reversibel. Liver cirrhosis is a final stage of liver disease with many etiologies, i.e. metabolic disorder or infection like type B hepatitis and type C hepatitis. Liver cirrhosis is still being considered as an irreversible disease, which leads to liver transplantation. But as far as the development of technology and knowledge of liver cirrhosis pathogenesis, liver cirrhosis might be considered as a reversible process.
The “Socialized Architecture”: A Software Engineering Approach for a New Cloud

Today, the cloud means a revolution within the Internet revolution. However, an oligopoly sustaining the cloud may not be the best solution, since ethical problems such as privacy or even transferring data sovereignty could eventually happen. Our research, coined as the "socialized architecture," presents a novel disruptive approach to completely transform the cloud as we know it today. The approach follows ideas already working in the field of volunteer computing, since it tries to socialize spare computing power in the infraused hardware that institutions and normal people own. However, our solution is completely different to current ones, since it does not create hyper-specialized muscles in client machines. The solution is new since it proposes a software engineering approach for developing “socialized services”, which, leveraging an asynchronous interaction model, creates a network of lightweight microservices that can be dynamically allocated and replicated through the network. The use of state-of-the-art patterns, such as Command Query Responsibility Segregation, helps to isolate domain events and persistence needs, while an API Gateway addresses communication. All previous ideas were tested through a complete and functional proof of concept, which is a prototype called Circle implementing a social network. Circle has been useful to expose problems that need to be addressed. The results of the assessment confirm, in our view, that it is worth to start this new field of work.
Correlates of COVID-19 Transmission: Challenges and Opportunities to Access Our Most Vulnerable Populations

The novel coronavirus, also known as COVID-19, was recognized as a pandemic disease in March of 2020 [1]. In the months that followed, the number of cases reported has increased from 53,269 on March 9 to 63,965,092 as of December 3, 2020 [2]. The Americas carry the bulk (42.4%) of that number, and the United States of America is leading the world’s countries in COVID-19 cases at 13,563,731, or 21.2% of the world’s cases [2]. In the current study, the correlates of pandemic transmission were explored through the use of univariate frequency analyses, bivariate t-tests, and correlation analyses. Results indicated that states with higher frequencies of non-White residents, poverty, and underinsured and disabled residents. The Salutogenic Model was utilized to frame the discussion regarding challenges and opportunities for addressing the correlates in an equitable fashion [3].
Robotic Pill for Biomarker and Fluid Sampling in the Gastrointestinal Tract

Developing on‐site biomarker enrichment platforms could help to improve the diagnosis of gastrointestinal (GI) tract diseases at early stages. Medical procedures, such as colonoscopies and imaging techniques, are used to diagnose a disease, but are not easily accessible for repeat measurements. In contrast, liquid biopsies, e.g., blood, urine, or fecal samples, have become important sampling strategies to identify health concerns. Herein, a robotic pill is designed for collecting relevant biomarkers from the GI tract over prolonged sampling periods. The robotic pill is comprised of a magnetic core for locomotion, a delayed gate mechanism that controls sampling location based on changes in its environment, and an enrichment module that traps biomarkers in an absorbent matrix while enabling biofluid to pass through the chamber. The robotic pill was assessed to sample microparticles, proteins, and bacteria from the solution. Moreover, the robotic pill was capable of directed locomotion in complex environments and docking in a targeted region against fluid flow. The utilization of an untethered robotic sampling system could provide a tool to investigate aspects of disease initiation and progression for early diagnosis and therapy monitoring. A preprint version of the article can be found at: https://www.authorea. com/doi/full/10.22541/au.164458092. 26571169.
Use of Evolutionary Algorithm in the Investment Project Evaluation

In the realization of infrastructure projects, the interest shown in the Build-Operate-Transfer (BOT) model is on the increase. Through the BOT projects, the risks and awards of the public in the realization of infrastructure projects are transferred to the private sector. Implementing the BOT projects successfully depends on the ability to constitute a structure which enhances the possibility of the sponsors’ achievement in the BOT tender. The debt to equity ratio, the concession length and the price variables are the critical financial factors in BOT projects. Thus, these factors must be designed in the way that they will look out for the interests of the participants of the project.In this study, a new approach regarding the project finance has been put forth by optimally integrating the major financial factors that provide financial viability for the project. The optimization equation and constraints were developed on the basis of the discounted cash flow analysis which is among the dynamic methods, and the calculations were made by utilizing the real-coded Evolutionary Algorithm for the non-linear behaviour of the objective function. In this way, a more efficient and productive support is provided for the financial decision-making process.
Dissociable consequences of moderate and high volume stress are mediated by the differential energetic demands of stress

Exposure to traumatic stress leads to persistent, deleterious behavioral and biological changes in both human and non-human species. The effects of stress are not always consistent, however, as exposure to different stressors often leads to heterogeneous effects. The intensity of the stressor may be a key factor in determining the consequences of stress. While it is difficult to quantify intensity for many stress types, electric shock exposure provides us with a stressor that has quantifiable parameters (presentation length x intensity x number = shock volume). Therefore, to test the procedural differences in shock volume that may account for some reported heterogeneity, we used two common shock procedures. Learned helplessness is a commonly reported behavioral outcome, highlighted by a deficit in subsequent shuttle-box escape, which requires a relatively high-volume stress (HVS) of about 100 uncontrollable shocks. Conversely, stress-enhanced fear learning (SEFL) is another common behavioral outcome that requires a relatively moderate-volume stress (MVS) of only 15 shocks. We exposed rats to HVS, MVS, or no stress (NS) and examined the effects on subsequent fear learning and normal weight gain. We found doubly dissociable effects of the two levels of stress. MVS enhanced contextual fear learning but did not impact weight, while HVS produced the opposite pattern. In other words, more stress does not simply lead to greater impairment. We then tested the hypothesis that the different stress-induced sequalae arouse from an energetic challenge imposed on the hippocampus by HVS but not MVS. HVS rats that consumed a glucose solution did exhibit SEFL. Furthermore, rats exposed to MVS and glucoprivated during single-trial context conditioning did not exhibit SEFL. Consistent with the hypothesis that the inability of HVS to enhance fear learning is because of an impact on the hippocampus, HVS did enhance hippocampus-independent auditory fear learning. Finally, we provide evidence that stressors of different volumes produce dissociable changes in glutamate receptor proteins in the basolateral amygdala (BLA) and dorsal hippocampus (DH). The data indicate that while the intensity of stress is a critical determinant of stress-induced phenotypes that effect is nonlinear.
Increasing Recognition of Community-Acquired, Non-Tuberculous Mycobacterial Infections of the Hand and Wrist

Background In this study, we present our experience with community-acquired, culture-positive, non-tuberculous mycobacterial (NTM) infections of the hand and wrist and compare the clinical features, risk factors, diagnostic delays, and treatment outcomes among patients referred for surgical consultation at our institution over a five-year period. Methodology We retrospectively identified patients on chart review who were diagnosed with culture-positive, extrapulmonary, cutaneous NTM infections between January 1, 2014, and December 31, 2018. Only patients with community-acquired NTM infections of the hand and wrist were included. Patient demographics, risk factors, location, diagnostic delays, NTM species isolated, treatment modalities, and treatment outcomes were collected and analyzed. These variables were further compared between patients who participated in fishing-related activities and those who did not. Results A total of 10 patients were identified with community-acquired NTM infections of the hand or wrist. Of these patients, eight (80%) were male, and six (60%) had participated in fishing-related activities prior to the initial presentation. The majority of patients had Mycobacterium marinum isolates (n = 6, 60%) and involved the hand (n = 8, 80%). M. marinum isolates were associated with a significantly shorter time to diagnosis (p = 0.02). All patients underwent surgical management with a prolonged course of postoperative antibiotics and were cured of their infection at the end of their treatment course. Conclusions Proper risk factor documentation and heightened clinical awareness are essential to reduce delays in the diagnosis of NTM skin and soft tissue infections and provide the best chance for curative therapy.
Development and trend of nano-robots and its applications on bio-medical

"Nanobots" have frequently appeared in various media and become a hot topic in the scientific community.The nano-biology—the combination of nanotechnology and biomedicine—will be an important part of science,and nanobots will be the most attractive achievement in the area of nanobiology in the 21st century which is the era of life sciences.This paper introduces the combination of robotics and nano-technology and gives a brief introduction of the emergence and application of micro-robots and researches on the nano-bio-robots in some countries such as the problem in diver choose and the control technology on nano-robots.From the point of the applications in biomedical and human life science,some countries have done many researches on the robotics and nanotechnology,for examples: American nano-bio-robot for transporting cancer drugs and "nano-spider" for cleaning vascular and "OMOM nano-capsule endoscopy system".
Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition

Human activity recognition (HAR) using wearable sensors is an increasingly active research topic in machine learning, aided in part by the ready availability of detailed motion capture data from smartphones, fitness trackers, and smartwatches. The goal of HAR is to use such devices to assist users in their daily lives in application areas such as healthcare, physical therapy, and fitness. One of the main challenges for HAR, particularly when using supervised learning methods, is obtaining balanced data for algorithm optimisation and testing. As people perform some activities more than others (e.g., walk more than run), HAR datasets are typically imbalanced. The lack of dataset representation from minority classes hinders the ability of HAR classifiers to sufficiently capture new instances of those activities. We introduce three novel hybrid sampling strategies to generate more diverse synthetic samples to overcome the class imbalance problem. The first strategy, which we call the distance-based method (DBM), combines Synthetic Minority Oversampling Techniques (SMOTE) with Random_SMOTE, both of which are built around the k-nearest neighbors (KNN). The second technique, referred to as the noise detection-based method (NDBM), combines SMOTE Tomek links (SMOTE_Tomeklinks) and the modified synthetic minority oversampling technique (MSMOTE). The third approach, which we call the cluster-based method (CBM), combines Cluster-Based Synthetic Oversampling (CBSO) and Proximity Weighted Synthetic Oversampling Technique (ProWSyn). We compare the performance of the proposed hybrid methods to the individual constituent methods and baseline using accelerometer data from three commonly used benchmark datasets. We show that DBM, NDBM, and CBM reduce the impact of class imbalance and enhance F1 scores by a range of 9–20 percentage point compared to their constituent sampling methods. CBM performs significantly better than the others under a Friedman test, however, DBM has lower computational requirements.
Application of Deep Neural Network in Finding of Repulsive Part of Molecular Potential Based on Dispersed Emission Spectra

A new method of obtaining parameters of the repulsive part of the analytical potential energy curve of a diatomic molecule, based on the deep neural network approach, is presented. The method was successfully tested on artificially created spectra as well as an experimental bound→free spectrum of the G0u (6P1)(υ = 39)→ X0g transition in Hg2. The method was tested for a Morse and fourparameter expanded Morse oscillator potentials but can be easily adaptable to other forms of analytical potential energy curves.
THE EVOLUTION OF MANAGEMENT: A HISTORICAL PERSPECTIVE

Management is a challenge requiring constant adaptation to new circumstances because globalization, technological change, the importance of knowledge and collaboration across organizational boundaries have make the current business landscape different from the past decades, it is pertinent to have an understanding of the origins of management thought. It is against this backdrop that this paper examines the evolution of management thought through the decades. This paper adopted quantitative research method through textual analysis and concludes that companies, like individuals, fail or succeed for a variety of reasons. Some of these reasons are circumstantial. Most are personal and human and include the decisions managers make and the actions they take.
Climate Change and the New Politics of Violence

Abstract Climate change complicates political violence while producing new forms and scales of it. This has led the climate movement to fail to come to terms with both the violence of climate change and nonviolence as a tactic of resistance. The article begins by counterposing the violence of climate change to the consensus for nonviolence as the only tactic for achieving systemic political change. It then moves beyond that consensus by drawing on Andreas Malm’s Marxist response, Bruno Latour’s claim that climate change puts us in a situation of war, and a critique of the linkages between consumption, carbon, and imperialism. The article concludes that climate change makes the choice between violence and nonviolence a false one, necessitating new hybrid strategies of violence and nonviolence.
Current Methods for Extraction and Concentration of Foodborne Bacteria with Glycan-Coated Magnetic Nanoparticles: A Review

Rapid and accurate food pathogen detection is an essential step to preventing foodborne illnesses. Before detection, removal of bacteria from the food matrix and concentration to detectable levels are often essential steps. Although many reviews discuss rapid concentration methods for foodborne pathogens, the use of glycan-coated magnetic nanoparticles (MNPs) is often omitted. This review seeks to analyze the potential of this technique as a rapid and cost-effective solution for concentration of bacteria directly from foods. The primary focus is the mechanism of glycan-coated MNP binding, as well as its current applications in concentration of foodborne pathogens. First, a background on the synthesis, properties, and applications of MNPs is provided. Second, synthesis of glycan-coated particles and their theorized mechanism for bacterial adhesion is described. Existing research into extraction of bacteria directly from food matrices is also analyzed. Finally, glycan-coated MNPs are compared to the magnetic separation technique of immunomagnetic separation (IMS) in terms of cost, time, and other factors. At its current state, glycan-coated MNPs require more research to fully identify the mechanism, potential for optimization, and extraction capabilities directly in food matrices. However, current research indicates glycan-coated MNPs are an incredibly cost-effective method for rapid food pathogen extraction and concentration.
The PRP19 Ubiquitin Ligase, Standing at the Cross-Roads of mRNA Processing and Genome Stability

Simple Summary mRNA maturation is absolutely required for proper gene expression and, in recent years, regulators of this process have been found to be tightly intertwined with genome stability. The E3 ubiquitin ligase PRP19 is part of multiple protein complexes that regulate mRNA splicing, RNA:DNA hybrid resolution, activation of the ATR-mediated DNA damage response, DNA repair and cell division. Here, we discuss how this essential evolutionarily conserved factor functions at the nexus between mRNA processing and genome protection and we highlight key questions that will need to be addressed to better understand the interface between gene expression and genome stability. Abstract mRNA processing factors are increasingly being recognized as important regulators of genome stability. By preventing and resolving RNA:DNA hybrids that form co-transcriptionally, these proteins help avoid replication–transcription conflicts and thus contribute to genome stability through their normal function in RNA maturation. Some of these factors also have direct roles in the activation of the DNA damage response and in DNA repair. One of the most intriguing cases is that of PRP19, an evolutionarily conserved essential E3 ubiquitin ligase that promotes mRNA splicing, but also participates directly in ATR activation, double-strand break resection and mitosis. Here, we review historical and recent work on PRP19 and its associated proteins, highlighting their multifarious cellular functions as central regulators of spliceosome activity, R-loop homeostasis, DNA damage signaling and repair and cell division. Finally, we discuss open questions that are bound to shed further light on the functions of PRP19-containing complexes in both normal and cancer cells.
Inclusion Prosopis juliflora Pod Meal in Grazing Lambs Diets: Performance, Digestibility, Ingestive Behavior and Nitrogen Balance

Simple Summary This research investigated the interest in the replacement of ground corn by Prosopis juliflora pod meal in lambs’ diets. Mesquite or Vilayati babul (Prosopis juliflora (Sw) DC) is a drought resistant, evergreen, spiny tree with drooping branches and a deep laterally spreading root system, constituting a rich source of carbohydrates and proteins in an animal diet, with a crude energy concentration comparable to ground corn. In the present study, Prosopis juliflora pod meal inclusion in the diet of lambs replaced ground corn totally without affecting production and can become a an economically viable dietary ingredient for the animals’ grazing. Abstract Prosopis juliflora is an arboreal legume that concentrates its nutritive value in pods (fruits), constituting a rich source of carbohydrates and with a crude energy concentration comparable to ground corn. Therefore, we aimed to evaluate the effect of inclusion of Prosopis juliflora pod meal (0 or control, 250, 500 and 750 g/kg total DM) as a replacement for ground corn in the diet of lambs on performance, digestibility, ingestive behavior, and nitrogen balance of lambs grazing in the Megathyrsus maximus pasture. Forty Santa Inês uncastrated lambs with an average body weight (BW) of 24.2 ± 0.55 kg were distributed in a completely randomized design. There was a linear increase in the non-fiber carbohydrates (NFC), ether extract (EE) and neutral detergent fiber (NDF) digestibility with Prosopis juliflora pod meal supplementation in the diet of the lambs. Dry matter (DM), crude protein (CP) and total digestible nutrients (TDN) intake, and digestibility and time spent ruminating were not affected by Prosopis juliflora meal supplementation. Prosopis juliflora pod meal inclusion increased time spent feeding and idling of lambs, however, without affecting spent time ruminating. Lambs fed with Prosopis juliflora pod meal presented greater final BW, gain: feed ratio, N-balance, microbial protein production ef-ficiency, N-urea urinary (NUU) and blood urea nitrogen (BUN). However, the average daily weight (ADG), total weight gain and hot carcass yield as well as N ingested, N excreted in feces and urine, total purines, ab-sorbed purines and N microbial production in lambs were not influenced by Prosopis juliflora pod meal inclusion. The Prosopis juliflora pod meal inclusion up to the 750 g/kg level in the concentrate supplement totally replace ground corn in the diet of grazing lambs improving the NFC intake and NDF digestibility, supplement acceptability, microbial protein production efficiency and consequently the performance. The addition of Prosopis juliflora pod meal as a replacement for ground corn in the concentrate does not influence the microbial protein production; however, there was an improvement in the efficiency of microbial synthesis.