Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Lung Cancer Screening Rates Through an Evidence-Based Electronic Health Record Smoking History

Background: Lung cancer is prevalent worldwide, with 2.1 million new cases and 1.8 million deaths in 2020. In the United States, an estimated 131 880 lung cancer deaths are expected to occur in 2021, with most detected in later stages. Smokers are 15 to 30 times more likely to develop or die from lung cancer. Local Problem: Our community residents were more likely to be diagnosed with lung cancer in later stages (62%) compared with 56% nationally, resulting in an increased community mortality rate. Intervention: Evidence-based changes in an electronic health record system supported identification and referral of high-risk patients for low-dose computer tomography to improve early lung cancer detection rates. Results: Early-stage lung cancer detection increased 24%. Conclusions: Interprofessional teams used technology to adopt evidence-based practice and improve health outcomes in their communities.
Skin, hair and beyond: the impact of menopause

Abstract The skin is an endocrine organ and a major target of hormones such as estrogens, androgens and cortisol. Besides vasomotor symptoms (VMS), skin and hair symptoms often receive less attention than other menopausal symptoms despite having a significant negative effect on quality of life. Skin and mucosal menopausal symptoms include dryness and pruritus, thinning and atrophy, wrinkles and sagging, poor wound healing and reduced vascularity, whereas skin premalignant and malignant lesions and skin aging signs are almost exclusively caused by environmental factors, especially solar radiation. Hair menopausal symptoms include reduced hair growth and density on the scalp (diffuse effluvium due to follicular rarefication and/or androgenetic alopecia of female pattern), altered hair quality and structure, and increased unwanted hair growth on facial areas. Hormone replacement therapy (HRT) is not indicated for skin and hair symptoms alone due to the risk–benefit balance, but wider potential benefits of HRT (beyond estrogen’s effect on VMS, bone, breast, heart and blood vessels) to include skin, hair and mucosal benefits should be discussed with women so that they will be able to make the best possible informed decisions on how to prevent or manage their menopausal symptoms.
Examining the occurrence and outcomes of concussion and mTBI in mixed martial arts athletes: a systematic review

ABSTRACT Introduction Mixed martial arts (MMA) is a sport growing in popularity around the world. However, many individuals participate in the sport with little understanding of the potential short- and long-term consequences of injuries sustained while participating. Specifically, individuals are placed at a high risk of minor traumatic brain injury (mTBI) and concussive episodes as a result of head injuries incurred during training and competition. Aims The current review aimed to examine the literature surrounding the occurrence and outcomes of mTBI in MMA athletes to gain a better understanding of these consequences. Methods Twenty-five studies were identified within the current review, of which 14 examined occurrence of mTBI within the sport setting, and elevenidentified outcomes of injury. Results Overall, studies found that MMA athletes experienced mTBI and concussion to a greater extent than athletes in other sports. Deficits in memory, reaction time and processing speed were identified following occurrence of mTBI; however, several gaps in outcome measurement were identified within the current literature, including a lack of focus on speech and language outcomes. Conclusion Future research should examine a wider variety of outcomes to provide a clearer understanding of the consequences of participating in the sport.
blaKPC-2-Encoding IncP-6 Plasmids in Citrobacter freundii and Klebsiella variicola Strains from Hospital Sewage in Japan

Antimicrobial resistance is a significant problem for global health, and the hospital environment has been recognized as a reservoir of antimicrobial resistance. Here, we provide insight into the genomic features of blaKPC-2-harboring isolates of Citrobacter freundii and Klebsiella variicola obtained from hospital sewage in Japan. ABSTRACT Klebsiella pneumoniae carbapenemase (KPC) producers are an emerging threat to global health, and the hospital water environment is considered an important reservoir of these life-threatening bacteria. We characterized plasmids of KPC-2-producing Citrobacter freundii and Klebsiella variicola isolates recovered from hospital sewage in Japan. Antimicrobial susceptibility testing, whole-genome sequencing analysis, bacterial conjugation, and transformation experiments were performed for both KPC-2 producers. The blaKPC-2 gene was located on the Tn3 transposon-related region from an IncP-6 replicon plasmid that could not be transferred via conjugation. Compared to the blaKPC-2-encoding plasmid of the C. freundii isolate, alignment analysis of plasmids with blaKPC-2 showed that the blaKPC-2-encoding plasmid of the K. variicola isolate was a novel IncP-6/IncF-like hybrid plasmid containing a 75,218-bp insertion sequence composed of IncF-like plasmid conjugative transfer proteins. Carbapenem-resistant transformants harboring blaKPC-2 were obtained for both isolates. However, no IncF-like insertion region was found in the K. variicola donor plasmid of the transformant, suggesting that this IncF-like region is not readily functional for plasmid conjugative transfer and is maintained depending on the host cells. The findings on the KPC-2 producers and novel genetic content emphasize the key role of hospital sewage as a potential reservoir of pathogens and its linked dissemination of blaKPC-2 through the hospital water environment. Our results indicate that continuous monitoring for environmental emergence of antimicrobial-resistant bacteria might be needed to control the spread of these infectious bacteria. Moreover, it will help elucidate both the evolution and transmission pathways of these bacteria harboring antimicrobial resistance. IMPORTANCE Antimicrobial resistance is a significant problem for global health, and the hospital environment has been recognized as a reservoir of antimicrobial resistance. Here, we provide insight into the genomic features of blaKPC-2-harboring isolates of Citrobacter freundii and Klebsiella variicola obtained from hospital sewage in Japan. The findings of carbapenem-resistant bacteria containing this novel genetic context emphasize that hospital sewage could act as a potential reservoir of pathogens and cause the subsequent spread of blaKPC-2 via horizontal gene transfer in the hospital water environment. This indicates that serial monitoring for environmental bacteria possessing antimicrobial resistance may help us control the spread of infection and also lead to elucidating the evolution and transmission pathways of these bacteria.
Evaluation of tyrosine kinase inhibitors combined with antiprogrammed cell death protein 1 antibody in tyrosine kinase inhibitor-responsive patients with microsatellite stable/proficient mismatch repair metastatic colorectal adenocarcinoma: protocol for open-label, single-arm trial

Introduction The prognosis of patients with advanced metastatic colorectal adenocarcinoma (mCRC) after multiple-line therapy remains poor due to the high tumour load, high level of malignancy and strong drug resistance. The application of programmed cell death protein 1 (PD-1) blockade alone for patients with microsatellite stable/proficient mismatch repair (MSS/pMMR) mCRC is ineffective. PD-1 blockade combined with antiangiogenic therapy has synergistic effects and has initially shown therapeutic effects. The aim of this trial is to explore the efficiency and safety of tyrosine kinase inhibitors (TKIs) combined with PD-1 blockade therapy in patients with mCRC with MSS/pMMR. Methods and analysis The screening phase of the trial will involve administering one cycle of TKIs (fruquintinib or regorafenib). Patients will be divided into three arms—arm A (obvious response to TKIs), arm B (general response to TKIs) and arm C (poor response to TKIs)—according to their response to TKIs, as determined by significant changes in imaging findings. Patients in arm A will then receive TKIs in combination with anti-PD-1 antibody, patients in arm C will withdraw from the study, and those in arm B will continue to take TKIs for another one further cycle. Next, patients with obvious response to TKIs will be reallocated to arm A, those with general response to TKIs will stay in arm B and will continue to take TKIs, and patients with poor response to TKIs will withdraw from the study. Administration of arm A or arm B will last until disease progression or intolerable toxicity. Anti-PD-1 antibody can be administered for up to 2 years. This trial will provide necessary data to improve the prognosis of patients with MSS/pMMR mCRC. Trial registration number NCT04483219; Pre-results.
Evaluation of a Compliant Droop-Nose Morphing Wing Tip via Experimental Tests

A morphing droop-nose wing tip with span of 1.3 m and target 2 deg droop was designed, manufactured, and tested as part of the European project Novel Air Vehicle Configurations: From Fluttering Wings to Morphing Flight. The morphing droop-nose device featured a fiberglass composite skin with optimized three-dimensional thickness distribution, which was supported by topology-optimized superelastic nickel titanium and aluminum internal compliant mechanisms. The tests included ground and low-speed wind-tunnel tests (55 m/s) with the aim of assessing the structural performance and the design chain through measurements of shape, strains, surface pressures, and total forces/moments on the model. Comparisons with the experimental results were used for validation of the computational models and optimization tools. The morphing device was able to change shape while resisting the external loads, and it was identified that the distribution of strain and shape accuracy may be improved through the use of a concurrent.
Interaction between carbon nanotubes with functional groups and epoxy resin and its effect on thermal properties of carbon nanotubes/epoxy composites

Carbon nanotubes (CNTs)/epoxy composites are composed of CNTs, epoxy resin, and the interphase between them. The micro-morphology of the interphase has a significant influence on the macro-properties of composites, which is mainly attributed to the difference in the interaction between CNTs and epoxy resin. However, a systematic research on the interaction between CNTs and epoxy resin on composite properties is still insufficient. In this paper, the surface properties of three types of functionalized CNTs, the adhesion forces between the typical functional groups and epoxy groups, as well as the curing characteristics and the thermal properties of the CNTs/epoxy composites were investigated by using experimental methods like surface energy analysis, atomic force microscopy, and differential scanning calorimetry. This paper performed direct measurements on the interaction between CNTs with functional groups and epoxy resin. Moreover, it provided several experimental evidences for the mechanism of interfacial interaction affecting thermal properties of CNTs/epoxy composites. It indicated that it is conducive to form covalent bonds at the CNTs/epoxy composite interface when there is a strong interaction between CNTs and epoxy resin, and the thermal property could be improved finally.
Fold2Vec: Towards a Statement-Based Representation of Code for Code Comprehension

We introduce a novel approach to source code representation to be used in combination with neural networks. Such a representation is designed to permit the production of a continuous vector for each code statement. In particular, we present how the representation is produced in the case of Java source code. We test our representation for three tasks: code summarization, statement separation, and code search. We compare with the state-of-the-art non-autoregressive and end-to-end models for these tasks. We conclude that all tasks benefit from the proposed representation to boost their performance in terms of F1-score, accuracy, and mean reciprocal rank, respectively. Moreover, we show how models trained on code summarization and models trained on statement separation can be combined to address methods with tangled responsibilities, meaning that these models can be used to detect code misconduct.
Potential of honey against the onset of autoimmune diabetes and its associated nephropathy, pancreatitis, and retinopathy in type 1 diabetic animal model

Abstract Honey has been used as a traditional remedy for various health benefits. This study investigated the potential of honey against the onset of autoimmune diabetes and its associated secondary complications in type 1 diabetic (T1D) experimental animals. Autoimmune diabetes was induced in Sprague Dawley rats, and at the same time, the rats were treated with honey or metformin. Sandwich ELISAs were used to estimate blood glucose, hemoglobin A1C (HbA1c), total cholesterol, and triglycerides. Histopathological examinations determined the T1D-induced lesions on kidneys, pancreas, cornea, and retina. Treatment of rats with honey during the course of T1D induction showed a significant reduction in fasting-blood-glucose and HbA1c (p < 0.01), and total lipid profile was also improved (p < 0.05). Not only these, but honey also reduced the T1D-induced lesions in the kidney, pancreas, and cornea/retina (p < 0.05). Metformin showed similar effects and was used as a positive control. In conclusion, honey showed therapeutic potential against the onset of autoimmune diabetes, as it reduces blood glucose/HbA1c and improves the lipid profile by reducing the plasma levels of total cholesterol, low-density lipoproteins (LDL), very low-density lipoprotein (VLDL), and triglycerides. Moreover, it also showed protective potential against the development of diabetic nephropathy, pancreatitis, and retinopathy.
Meta-analysis

ABSTRACT The sheer volume of available research and shifts toward evidence-based practice has led researchers and practitioners in sport and exercise psychology to rely increasingly on meta-analyses to summarize current knowledge, provide future research directions, and inform policy and practice. These issues highlight the imperative of precision and integrity in the conduct of meta-analyses in the discipline. This review provides a summary of meta-analytic methods relevant to sport and exercise psychology, identifies important issues and advances in meta-analytic methods, and provides best practice guidelines for meta-analysts to consider when synthesizing research in the discipline. In Part I, I provide an overview of the basic principles of meta-analysis and direct readers to accessible, non-technical treatments of the topic. In Part II, I introduce several key issues in meta-analysis and summarize the latest advances in each: effective assessment of heterogeneity; testing for moderators; dealing with dependency; evaluating publication bias and tracking down ‘fugitive literature’; and assessing sample size in meta-analysis. I also cover two emerging topics: testing theories using meta-analysis and open science and transparency practices in meta-analysis. I conclude the discussion of each issue by providing best practice guidelines, and refer the reader to further accessible texts to augment knowledge and understanding.
Designing interfaces in public settings

The rapidly increasing reach of computation into our everyday public settings presents new and significant challenges for the design of interfaces. One key feature of these settings is the increased presence of third parties to interaction, watching or passing-by as conduct with an interface takes place. This thesis assumes a performative perspective on interaction in public, presenting a framework derived from four empirical studies of interaction in a diverse series of public places—museums and galleries, city streets and funfairs—as well as observations on a variety of computer science, art and sociological literatures. As these settings are explored, a number of basic framework concepts are built up: • The first study chapter presents a deployment of an interactive exhibit within an artistic installation, introducing a basic division of roles and the ways in which visitors may be seen as ‘audience’ to manipulations of interactive devices by ‘participants’. It also examines how visitors in an audience role may transition to active participant and vice versa. • The second study chapter describes a storytelling event that employed a torchbased interface. This chapter makes a distinction between non-professional and professional members of settings, contrasting the role of ‘actor’ with that of participants. • The third study chapter examines a series of scientific and artistic performance events that broadcast live telemetry data from a fairground ride to a watching audience. The study expands the roles introduced in previous chapters through making a further distinction between ‘behind-the-scenes’—in which ‘orchestrators’ operate—and ‘centre-stage’ settings—in which actors present the rider’s experience to the audience. • The final study chapter presents a performance art game conducted on city streets, in which participants follow a series of often ambiguous clues in order to lead
Serializability and Heterogeneous Trust from Two Phase Commit to Blockchains

ly, distributed systems deal with some set of participants (sometimes called “nodes,” “processors,” or “processes”), usually computers, which execute computation and send messages to each other over the network. Observers are abstract entities that observe messages in the system and make demands about system properties. Observers define the requirements on the system: how many failures it needs to tolerate, and what tasks it must perform under what circumstances. Participants are merely components of the system, although some entities (such as people) can be both observers and participants. Not all systems always satisfy all observers. There are some traditional assumptions about this setting. For instance, we usually assume that once a message is sent, it will eventually
A Novel Hybridized Feature Extraction Approach for Lung Nodule Classification Based on Transfer Learning Technique

Purpose: In the field of medical diagnosis, deep learning-based computer-aided detection of diseases will reduce the burden of physicians in the diagnosis of diseases especially in the case of lung cancer nodule classification. Materials and Methods: A hybridized model which integrates deep features from Residual Neural Network using transfer learning and handcrafted features from the histogram of oriented gradients feature descriptor is proposed to classify the lung nodules as benign or malignant. The intrinsic convolutional neural network (CNN) features have been incorporated and they can resolve the drawbacks of handcrafted features that do not completely reflect the specific characteristics of a nodule. In the meantime, they also reduce the need for a large-scale annotated dataset for CNNs. For classifying malignant nodules and benign nodules, radial basis function support vector machine is used. The proposed hybridized model is evaluated on the LIDC-IDRI dataset. Results: It has achieved an accuracy of 97.53%, sensitivity of 98.62%, specificity of 96.88%, precision of 95.04%, F1 score of 0.9679, false-positive rate of 3.117%, and false-negative rate of 1.38% and has been compared with other state of the art techniques. Conclusions: The performance of the proposed hybridized feature-based classification technique is better than the deep features-based classification technique in lung nodule classification.
What Companies Use Blind/Anonymous Resumes and What Benefits Have They Reported?

Anonymous or blind processes for reviewing applicant resumes is a strategy that firms are increasingly exploring as a solution to reduce bias within selection processes. Though this approach does not completely eliminate bias in hiring. Evaluating resumes anonymously can play an important role in reducing the possibility for bias in candidate selection and aid firms in recruiting diverse talent.
A Ring to Rule Them All - Revising OpenStack Internals to Operate Massively Distributed Clouds

The deployment of micro/nano data-centers in network point of presence offers an opportunity to deliver a more sustainable and efficient infrastructure for Cloud Computing. Among the different challenges we need to address to favor the adoption of such a model, the development of a system in charge of turning such a complex and diverse network of resources into a collection of abstracted computing facilities that are convenient to administrate and use is critical. In this report, we introduce the premises of such a system. The novelty of our work is that instead of developing a system from scratch, we revised the OpenStack solution in order to operate such an infrastructure in a distributed manner leveraging P2P mechanisms. More precisely, we describe how we revised the Nova service by leveraging a distributed key/value store instead of the centralized SQL backend. We present experiments that validated the correct behavior of our prototype, while having promising performance using several clusters composed of servers of the Grid’5000 testbed. We believe that such a strategy is promising and paves the way to a first large-scale and WAN-wide IaaS manager.
Quantitative sociolinguistics Methodology A Descriptive and Analytical Study

This research aims to present and review the quantitative sociolinguistic framework (Labovian Method) adopted in many sociolinguistic studies (including Arabic Language studies). In addition, it describes, in detail, the methods and means that commonly used to collect, organise and analyse sociolinguistic data. The research also emphasises the fact that sociolinguistic data mainly elicited by using a common method in sociolinguistics, i.e. tape recording. Two common settings related to tape recording method were chosen to be reviewed: personal interviews and group discussions. Moreover, for sampling sociolinguistic research participants, two methods of sampling were reviewed and discussed, i.e. random sampling and judgment sampling. This study argues that the latter method seems to be the only appropriate sampling method to use in the Arab world, due to the difficulty to approach Arab speakers without pre-arrangement. More importantly, the study reviewed two fundamental components of the quantitative sociolinguistic studies, which have to be correlated to each other, i.e. sociological and linguistic variables.
N-Acetyldopamine Dimer Attenuates DSS-Induced Ulcerative Colitis by Suppressing NF-κB and MAPK Pathways

Ulcerative Colitis (UC) is a major form of chronic inflammatory bowel disease of the colonic mucosa and exhibits progressive morbidity. There is still a substantial need of small molecules with greater efficacy and safety for UC treatment. Here, we report a N-acetyldopamine dimer (NADD) elucidated (2R,3S)-2-(3′,4′-dihydroxyphenyl)-3-acetylamino-7-(N-acetyl-2″-aminoethyl)-1,4-benzodioxane, which is derived from traditional Chinese medicine Isaria cicadae, exhibits significant therapeutic efficacy against dextran sulfate sodium (DSS)-induced UC. Functionally, NADD treatment effectively relieves UC symptoms, including weight loss, colon length shortening, colonic tissue damage and expression of pro-inflammatory factors in pre-clinical models. Mechanistically, NADD treatment significantly inhibits the expression of genes in inflammation related NF-κB and MAPK signaling pathways by transcriptome analysis and western blot, which indicates that NADD inhibits the inflammation in UC might through these two pathways. Overall, this study identifies an effective small molecule for UC therapy.