Miracle-dz/UniFAR-FTUs huggingface dataset:
Culturally sensitive and environment-friendly outcome measures in knee and hip osteoarthritis

Outcome measures often reflect the culture and environment for which they were originally developed. This study was designed to review research studies on outcome measures that were developed for use in knee and hip osteoarthritis (OA) with cultural considerations at time of development. A systematic review of evidence on culturally sensitive and environment-friendly outcome measures in knee and hip OA was conducted. Literature review of published peer-reviewed empirical research was undertaken. Various databases including Google Scholar, PEDro and PubMed were accessed to search for relevant empirical articles. Search terms were outcome measures, knee osteoarthritis, hip osteoarthritis, culture, and disease-specific. Only articles in English were retrieved. No other search limits were set. Methodologic quality was independently assessed by two reviewers. A self-developed validated checklist was used to review relevant articles. Sixteen free full text articles were identified for inclusion in the review. All of them have evidence of one or more psychometric properties proven. Eight outcome measures were developed and cross-culturally adapted into other languages. Only two outcome measures (Ibadan Knee Hip Osteoarthritis Outcome Measure and Japanese Knee Outcome Measure) were identified to be originally developed for a given population and translated into other indigenous languages with evidence of psychometric properties proven. Outcome measures should be developed for specific environments and cultures. Such measures should be translated into other languages for wide utility with psychometric evidence proven. Physiotherapists are encouraged to develop new outcome measures with considerations for culture of the population and cross-culturally adapt existing ones into indigenous languages. Keywords: Outcome Measures, Knee Osteoarthritis, Hip Osteoarthritis, Disease-specific, Culture, Psychometrics
The Impact of Vertical R&D Cooperation on Market Performance of Firms

Objective: The aim of this article is to investigate the impact of vertical R&D cooperation on market performance of firms. Specifically, we explore the impact of vertical R&D cooperation on firms' process innovation, outputs, market prices, and economic profits. Research Design & Methods: We apply microeconomic methods of analysis, i.e., mathematical modelling and optimisation procedures. We perform a comparative static analysis of two selected patterns of R&D in a supply chain, i.e. independent behaviour of firms and behaviour of firms in a vertically integrated industry. Findings: Vertical integration leads to significantly higher individual R&D investments. For all values of knowledge spillovers, consumer surplus and social welfare are higher under vertical integration compared with the independent behaviour of firms. Under independent behaviour, profit of the supplier is significantly larger compared with the vertical integration. The profit of the final-good manufacturer is significantly lower under independent behaviour compared with the vertically integrated industry. Implications & Recommendations: In regard to business and public policy implications, the large knowledge spillovers promote consumer surplus and social welfare in the vertically integrated industry, while small knowledge spillovers promote process innovations in the vertically integrated industry. Contribution & Value Added: Firms' process innovation benefits from the vertical integration of the industry. Moreover, the greatest benefits from vertical integration for consumers and social welfare come from the largest knowledge spillovers in the industry.
An Elite Hybrid Metaheuristic Optimization Algorithm for Maximizing Wireless Sensor Networks Lifetime With a Sink Node

Energy saving becomes a central issue in the design of wireless sensor networks routing algorithms. The objective of this study is to maximize the survival time of wireless sensor networks routing with a sink node by developing an efficient routing algorithm based on the elite hybrid metaheuristic optimization algorithm. The proposed algorithm comes as an original method that innovatively brings together the global search abilities of the particle swarm optimization algorithm, difference operator of differential algorithm and pheromones of ant-colony optimization algorithm in order to avoid local search and retain diversity of the population. As a result, the method quickly finds an optimal solution. A novel routing algorithm based on the proposed elite hybrid metaheuristic optimization algorithm is designed. Comprehensive simulation studies show that the proposed algorithm can increase maximum lifetime of wireless sensor networks by 38% in comparison with the results being produced with the state-of-the art algorithm routing algorithms based on other population-based optimization algorithms.
The Students' Cohesive Devices Mastery and Its Relationship toward Their Writing Achievement

This study was aimed at finding out the students’ cohesive devices mastery, their writing achievement, and the relationship between cohesive devices mastery and writing achievement at the 5th semester students of English Education Department of UIN Syarif Hidayatullah Jakarta in the academic year of 2018/2019. The study employed the correlational method and conducted with 25 students. To collect the data, the writer used objective test and writing test. The analysis was computed by using IBM SPSS 23. The finding showed that reference had the biggest portion. Most students could correctly answer the reference questions. On the other hands, the least portion was reiteration. The average score of cohesive devices mastery test was 69.41. Meanwhile, the average score of students' writing test was 76.76. The writing analysis showed that the dominant writing problems were on vocabulary, mechanics, and language mastery. The last finding confirmed that there was a significant and positive relationship between cohesive devices mastery and writing achievement (r = 0.715, sig. = 0.00).
Integrase-RNA interactions underscore the critical role of integrase in HIV-1 virion morphogenesis

A large number of HIV-1 integrase (IN) alterations, referred to as class II substitutions, exhibit pleotropic effects during virus replication. However, the underlying mechanism for the class II phenotype is not known. Here we demonstrate that all tested class II IN substitutions compromised IN-RNA binding in virions by one of three distinct mechanisms: i) markedly reducing IN levels thus precluding formation of IN complexes with viral RNA; ii) adversely affecting functional IN multimerization and consequently impairing IN binding to viral RNA; iii) directly compromising IN-RNA interactions without substantially affecting IN levels or functional IN multimerization. Inhibition of IN-RNA interactions resulted in mislocalization of the viral ribonucleoprotein complexes outside the capsid lattice, which led to premature degradation of the viral genome and IN in target cells. Collectively, our studies uncover causal mechanisms for the class II phenotype and highlight an essential role of IN-RNA interactions for accurate virion maturation.
L’algoritmo incostituzionale: intelligenza artificiale e il futuro delle libertà

Today a growing number of decisions affecting human liberties are taken by algorithms. This evidence raises a vast number of questions concerning the transparency of such tools, the legal and ethical framework for algorithmic decision-making and the societal and cognitive impacts of such algorithmic automation. Starting from Wiener’s fascinating invention of “cybernetics”, which demonstrated the original link between this new science and the very idea of “public government”, this paper maps the inherent tension between AI and law. It focuses firstly on the impact of “cybernetic revolution” on constitutional law, considering the technological switch from “means” to “subject” and then analyses some cases involving the use of predictive algorithms in the fields of criminal and administrative law. The paper then examines and criticizes the standards set by GDPR to provide effective protection for fundamental liberties. It concludes by calling for a new doctrine of “precautionary constitutionalism” through which protection of fundamental rights and the rule of law should be granted within designing new technologies.
The use of novel techniques to study the roles of cytokines in joint pain and inflammation

Rheumatoid arthritis (RA) is a common, chronic, autoimmune, inflammatory disease characterized by persistent synovitis that results in the progressive destruction ofjoints. The cellular and molecular basis of the inflammation is complex and multifactorial. During the progression of the disease many types of cells are activated, which in turn secrete a variety of mediators, including cytokines, which initiate and perpetuate the disease. Rat adjuvant-induced unilateral arthritis is a well established RA disease model and use of this model has facilitated the understanding of the pathology of joint inflammation. The model closely mimics the pathology of human RA, including histopathological changes, cell infiltration, as well as hypersensitivity and swelling of the joint. Measurements of spontaneous pain and hypersensitivity states are assessed in this model. However, no objective measure of joint hypersensitivity is used to assess experimental arthritic joint pain in laboratory rodents. To that end, the pressure application device (PAD) was developed to align pre-clinical measures to those used clinically and help the translation of animal studies to human conditions. PAD was able to detect FCA-induced hypersensitivity in mice and rats, observed as a decrease in limb withdrawal thresholds (LWTs) of around 60% and 40% respectively, compared with basal levels in normal joints. PAD subsequently detected prednisolone analgesia in both species, which was abolished after dosing ceased. PAD also showed significant reversal of evoked mechanical hypersensitivity in arthritic animals treated with morphine or celecoxib, which was comparable to that measured by the weight distribution readout. PAD provides a novel, accurate behavioural tool for detecting localised primary mechanical hypersensitivity in two animal models of chronic inflammatory joint pain. The infiltration of cells and release of inflammatory proteins in the synovial tissue and joint space is a key characteristic of synovitis. Measuring the levels of these in the synovial fluid can provide information about the underlying pathophysiology of joint
Trends in Public Administration after Hegemony of the New Public Management

The paper’s goal is to advance at understanding of the public management framework after decades of administrative reform under the New Public Management (NPM) hegemony. Based on a broad literature review, the paper maps trends in terms of principles and guidelines and indicates that post-NPM is a process of continuity rather than a disruption with the previous paradigm. The implementation processes of the management trends, as well as in the NPM, are presented in different ways, varying according to the context and institutional framework of each government. The article concludes that the most emblematic characteristic of the contemporary public administration is the prevalence of the governance phenomenon that, in different formats, encompasses most of the post-NPM principles and guidelines discussed in the literature. In this sense, the return of the State and the bureaucracy as protagonists is emphasized, however, far from the traditional hierarchical standard. The current role of the civil service focus on the direction of interdisciplinary skills, collaborative capacities, increasing accountability to society, as well as leadership with interactive components.
AN ENDOCRINE PICTURE IN DISGUISE: A PROGRESSIVE OLFACTORY NEUROBLASTOMA COMPLICATED WITH ECTOPIC CUSHING SYNDROME

ABSTRACT Objective: To describe a unique case of a 61-year-old patient presenting with ectopic Cushing syndrome as a paraneoplastic phenomenon due to adrenocorticotropic hormone (ACTH)-secreting bone metastasis of an olfactory neuroblastoma (ON). Methods: We report a detailed case, with clinical, biochemical, and imaging findings and compare it with existing literature. Results: A patient with an ON, with subsequent 10-year stable disease after initial craniofacial surgery, presented with paraparesis due to progressively metastasized ON disease located in the thoracic spine. During palliative chemotherapy, severe hypokalemia and muscle weakness developed, being part of paraneoplastic Cushing syndrome. Examination showed that metastatic bone lesions were mostly responsible for the ectopic secretion of ACTH, with just a few ACTH-secreting tumor cells located in the primary tumor. She was treated with a combination of ketoconazole and metyrapone that controlled cortisol levels. However, low potassium levels .
Superconvergence Analysis of the Polynomial Preserving Recovery for Elliptic Problems with Robin Boundary Conditions

We analyze the superconvergence property of the linear finite element method based on the polynomial preserving recovery (PPR) for Robin boundary elliptic problems on triangulartions. First, we improve the convergence rate between the finite element solution and the linear interpolation under the H-norm by introducing a class of meshes satisfying the Condition (α, σ, μ). Then we prove the superconvergence of the recovered gradients post-processed by PPR and define an asymptotically exact a posteriori error estimator. Finally, numerical tests are provided to verify the theoretical findings.
Comparison of Edge Detection Techniques on Vessel Detection of Infant's Retinal Image

ROP or Retinopathy of Prematurity is abnormal growth of blood vessels in the baby's eye. It is a sight threatening condition where the process of retinal vessel growth is disrupted by preterm birth and some of its complications. The earlier the symptom can be detected, the easier the patient can be treated. One of identifiers of an early stage of symptom detection is retinal blood vessel. Even though there are many works describing successful applications of image analysis techniques to adult retinal images, most of the techniques failed when applied on images of obscured and not-welldeveloped infant's retinal blood vessel. This article proposes result of a comparison of edge detection techniques for automatic classification of retinal blood vessels in infant images. The accuracy of methods are examined by comparing the results with hand-drawn ground-truth images. The finding indicats that the sensitivity and specificity of highest results in the first group of operators is Canny operator are 50.08% and 64.77%. Laplacian of Gaussian show best result of 64.81% and 64.23% for a set of 20 images.
Advanced Breeding Tools in Vegetable Crops

Vegetables are key ingredients in a well-balanced nutritious diet. Their worldwide rising consumption reveals the awareness of their health benefits. The major biotic factors affecting vegetable production are pathogens causing diseases, insects and nematodes pests, and weeds. Vegetables are also sensitive to drought, flood, heat, frost and salinity. Plant breeding provides means for introducing host plant resistance, adapting crops to stressful environments, and developing cultivars with the desired produce quality. The genetic enhancement of vegetables aims Prime Archives in Agricultural Research 2 www.videleaf. com achieving the market-driven quality along with agronomic performance needed by growers. Trait heritability, gene action, number of genes controlling the target trait(s), heterosis and genotype × environment interactions determine the vegetable breeding method to use. Coupled with the use of dense DNA markers and phenotyping data, quantitative genetic analysis facilitates dissecting trait variation and predicting merit or breeding values of offspring. Genomics, phenomics and breeding informatics further facilitate screening of target characteristics, thus accelerating the finding of desired traits and contributing gene(s) in vegetables. Genomic estimated breeding values are used today for predicting traits, thus replacing the routine of expensive phenotyping with inexpensive genotyping. Genetic engineering protocols for transgenic breeding are available in various vegetables, and may be useful if target trait(s) are unavailable in genebank or breeding population. Transgenic cultivars could overcome some limiting factors in vegetable production such as pathogens, pests, and weeds, thus reducing pesticide residues, human poisoning and management costs in horticulture. Gene editing can be also a useful approach for improving traits in vegetables and speed breeding. Examples are taken from various vegetables (including root and tuber crops) to show how these advances translate in genetic gains and save time and resources in their breeding.
Intraoperative imprint cytology of sentinel lymph nodes in breast cancer patients: Comparation with frozen section

Background/Aim. Sentinel lymph node (SLN) biopsy has been established as the standard of care for axillary staging in patients with invasive breast carcinoma and clinically negative lymph nodes. Intraoperative assessment of sentinel lymph nodes might be done by frozen section (FS), touch imprint cytology (TIC) and one step nucleic acid amplification. The aim of this study was to review our institution's results with SLN biopsy using TIC and FS technique as intraoperative diagnostic tool for breast cancer patients. Methods. SLNs from 101 patients were examined intraoperatively by frozen hematoxylin-eosin (H&E) stain and by touch imprint cytology. Results of TIC were compared with FS and permanent histology sections. Results. The total number of dissected SLNs was 163 with a mean of 1.6 (1? 4) per patient. The permanent H&E identified 19 (19%) patients with a sentinel lymph node metastasis and 82 (81%) patients with tumor-free sentinel nodes. The sensitivity/ specificity rates were 73.7%/99.3%, respectively for TIC and 84.2%/100%, respectively for FS. Relevant positive/ negative predictive values were 93.3%/96.6%, respectively for TIC and 100%/97.9%, respectively for FS. Conclusion. Our experience with TIC and FS for the intraoperative evaluation of SLNs is similar to the findings from previously reported studies. We detected the high specificity for both methods, but TIC technique appeared to be less sensitive than FS in detecting SLN metastases in breast cancer patients. TIC could be recommended as reasonable alternative to frozen section due to its simplicity and low cost.
Lung Nodule Texture Detection and Classification Using 3D CNN

Following artificial intelligence implementation in computer vision fields, especially deep learning, many Computer-Aided Diagnosis (CAD) tools are proposed to help to detect lung cancer by the scoring system or by identifying the characteristics of nodules. However, lung cancer is a clinical diagnosis which does not provide detailed information needed by radiologists and clinician to prevent unnecessary invasive diagnostic procedures compared to lung nodule texture detection and classification. Hence, to answer this problem, this research explores the steps needed to implement 3D CNN on raw thorax CT scan datasets and usage of RetinaNet 3D + Inception 3D with transfer learning. The 3D CNN CAD tools can improve the speed, performance, and ability to detect lung nodule texture instead of malignancy status done by previous studies. This study implements 3D CNN on Moscow private datasets acquired from NVIDIA Asia Pacific. The proposed method of data conversion can minimize information loss from raw data to 3D CNN input data. After 100 epoch training, the researchers conclude that the best-proposed model (3D CNN with transfer learning of pretrained LIDC public datasets weight) provides 22.86% of mean average precision (mAP) detection capability and 70.36% of Area Under the Curve (AUC) in Moscow private dataset lung texture detection tasks. It outperforms non-transfer learning 3D CNN model (trained from scratch) and 3D CNN with transfer learning of pre-trained ImageNet weight.
Genetics of Psoriasis and Psoriatic Arthritis

Psoriasis and psoriatic arthritis are the result of a complex interaction of genetic, immunological and environmental factors. The role of genetics is evident by various population-based studies, family-based studies and candidate gene studies both within and outside the major histocompatibility (MHC) region. The PSORS1 gene in the MHC class-l region on chromosome 6 is considered to be the most important gene locus associated with psoriasis. The discovery of the PSORS2 gene 14 years ago paved the way for extensive research in this regard, which led to the identification of various genetic susceptibility factors for psoriasis and psoriatic arthritis. The complex interrelation of immunological changes in psoriasis and other immune-mediated disorders have been studied at a genetic level as well. Novel disease-specific biological pathways have been identified which, in the future, will likely serve as diagnostic or prognostic markers, as well as potential targets of therapy.
Efficient Approach for Electrical Design and Analysis of High-Speed Interconnect in Integrated Circuit Packages

In recent integrated circuit (IC) packages, the structure of the interconnect is highly complex, and the effect of high-frequency parasitics is significant. These factors increase the number and level of design variables and extend the analysis frequency range to tens of gigahertz. As a result of the high dimensions of the design space, it is difficult to reduce the design gap between the current design approach and the physical limits of the practical IC-package interconnect. In this paper, we present an efficient approach for designing and analyzing the electrical characteristics of the high-speed interconnect in IC packages. The proposed approach is developed using a hybrid method involving the design of experiments, the domain decomposition method, and the finite-element method. We present a procedure to identify critical design variables for the IC-package interconnect, and we derive a method to recombine the impedance parameters of a segmented interconnect. The proposed hybrid method is verified by comparing its characteristic impedance (Zo) with the Zo value from a full-wave simulation of a complete interconnect. We demonstrate that the proposed hybrid method significantly reduces the design space of the IC-package interconnect so that we can efficiently and rapidly obtain the optimized solution, thereby improving the system performance.
Exploring Usability and Gratifications for Virtual Reality Applications at Festivals

The digital creation of virtual environments has opened many doors for the creation of new experiences, offering the trend of ever immersive, engaging and multi-sensory virtual reality (VR) experiences. However, studies on VR within the science festival context are limited. Therefore, with a focus on usability and gratifications, this study aims to explore the antecedents of the behavioral intention to use VR at science festivals. Before participating in a questionnaire, 447 users experienced a VR application and data were analyzed using structural equation modelling. Findings reveal that usability influences gratification factors which influence users’ behavioral intention to engage with science.