Miracle-dz/UniFAR-FTUs huggingface dataset:
Unicompartmental knee arthroplasty is superior to high tibial osteotomy for the treatment of medial unicompartmental osteoarthritis: A systematic review and meta-analysis

Background: Unicompartmental knee arthroplasty (UKA) and high tibial osteotomy (HTO) are widely used for the treatment of medial unicompartmental knee osteoarthritis (OA). However, the best approach remains controversial. This study aimed to present a systematic review and a meta-analysis to directly compare the clinical outcomes between HTO and UKA. We hypothesized that the clinical outcomes after UKA and HTO would be similar. Methods: Electronic databases (Web of Science, PubMed, Embase, CENTRAL, and Biosis Preview) were searched for related studies published before November 30, 2021. Retrospective and prospective studies that directly compared the postoperative outcomes between UKA and HTO were included. Odds ratio (ORs) and 95% confidence interval (CIs) for complications, revision to total knee arthroplasty (TKA), and weighted mean difference (MD) and 95% CIs in range of motion (ROM), pain, walking speed and function score were evaluated. Two reviewers independently assessed the quality of the studies. Subgroup and sensitivity analyses were performed to explore the heterogeneity. Results: Twenty-three retrospective and 6 prospective studies were included. A total of 3004 patients (3084 knees) were evaluated for comparison. Complications (OR, 4.88, 95% CI: 2.92–6.86) were significantly greater in the HTO group than in the UKA group. Postoperative function scores including Lysholm score (MD, −2.78, 95% CI: −5.37 to −0.18) and Hospital for Special Surgery (HSS) score (MD, −2.80, 95% CI: −5.39 to −0.20) were significantly lower in the HTO group than the UKA group. The postoperative ROM was similar between HTO and mobile-bearing UKA (MD, −3.78, 95% CI: −15.78 to 8.22). However, no significant differences were observed between the HTO and UKA group in terms of postoperative pain, walking speed, and revision to TKA. Conclusions: UKA is superior to HTO in minimizing complications and enhancing postoperative function scores. Mobile-bearing UKA has a similar ROM compared with HTO. Both HTO and UKA provide satisfactory clinical outcomes in terms of walking speed, relieving pain, and revision to TKA. UKA appears to be more suitable for the elderly, and both mobile-bearing UKA and HTO are viable surgical options for younger active individuals.
CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy

Sleep disorders pose serious cardiovascular threats if not treated effectively. However, adherence to Continuous Positive Airway Pressure (CPAP), the most recommended therapy, is known to be challenging to monitor. Telemonitored CPAP equipment has improved the follow-up of CPAP adherence (hours of use per night) by producing far larger amounts of data collected daily. The analysis of such data have relied on averaging the entire therapeutic history and interpreting it without a proper reference concerning the level of adherence. By contrast, we contribute with an unsupervised machine-learning methodology that (i) translates the adherence data to a scale of discrete numbers that hold correspondence to the most usual 30-day-long patterns as observed in a real-word database; (ii) avoids the loss of information aggregation problem by creating summaries of the time series that capture the dynamic nature of the everyday-use CPAP. Our experiments have detected eight particular adherence behaviors validated with information-oriented statistical criteria; we successfully applied them to the time series of a French hospital to produce summaries that reflect the adherence of any 30 days of interest. Our method can aid physicians in more precisely evaluating the therapy adherence, as well as fostering systems to alert of problems in the treatment automatically.
Gargle sample is an effective option in a novel molecular point-of-care test for influenza: a multicenter study

Objectives: We conducted a multicenter study to evaluate a novel transcription-reverse transcription concerted reaction (TRC) that can detect influenza A and B within 15 minutes in nasopharyngeal swabs and gargle samples. Design & Methods: We collected nasopharyngeal swab and gargle samples obtained from patients who visited or were hospitalized at eight clinics and hospitals with influenza-like illnesses between December 2019 and March 2020. After obtaining informed consent, we collected nasopharyngeal swabs from all patients using two swabs and gargle samples from patients whom the physician judged fit to perform gargling. We evaluated 233 nasopharyngeal swabs and 213 gargle samples from 244 patients. Results: In nasal swabs, influenza A or B was detected in 96 and 98 patients using conventional reverse transcription-polymerase chain reaction (RT-PCR) and TRC, respectively. Influenza A and B were detected using sequence analysis in four patients with different RT-PCR and TRC results. Based on the combined RT-PCR and sequencing results, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of TRC for influenza detection were 0.990, 1.000, 1.000, and 0.993, respectively. In the gargle samples, influenza A was detected in 100 and 99 patients using RT-PCR and TRC, respectively. Influenza A was detected using sequencing in five patients with different RT-PCR and TRC results. The sensitivity, specificity, PPV, and NPV of the TRC for detecting influenza were 0.970, 0.982, 0.980, and 0.974, respectively. Conclusions: The novel rapid TRC was comparable to RT-PCR for the detection of influenza in nasopharyngeal swabs and gargle samples.
NRR_A_368097 111..119

Background: Many countries have adopted the nursing process as a basic requirement for quality health care services, but there is a problem with its implementation in the clinical areas of many hospitals. Even though nurses accept the benefits of the nursing process, they do not use it practically. The implementation of the nursing process in Ethiopia is not well organized and developed. Many health care settings in Ethiopia demand the application of the nursing process in clinical practice. Methods: An institutional-based, descriptive cross-sectional study design was conducted at Woldia Comprehensive Specialized hospital. A simple random sampling technique was applied to select study subjects. The data were collected using self-administered questionnaires from August (01/0821 to September 01/09/2021. Binary logistic regressions were used. Then, P-value < 0.05 was considered statistically significant in this study. Results: This study reviled that 62.8% of nurses implemented the nursing process. Work experience greater than or equal to five years [AOR: 1.79; 95% CI (1.31–4.84)], support from the administration of the organization to do the nursing process [AOR: 1.98; 95% CI (1.22–3.01)], and knowledgeable nurses [AOR: 2.21; 95% CI (1.32–4.97)] are significantly associated with the implementation of the nursing process. Conclusion: More than sixty present nurses implemented the nursing process. Work experience, organizational support to implement the nursing process, and knowledge were significant factors affecting the implementation of the nursing process.
Development of Biological Criteria for Wyoming Streams and their Use in the TMDL Process a

The Wyoming Department of Environmental Quality (WYDEQ) initiated development of regionally-calibrated biological criteria for assessing the ecological condition of streams across the state. They intend to use the biological criteria to evaluate the overall ecological condition of their streams and watersheds, and to justify listing and delisting streams for their Total Maximum Daily Load (TMDL) requirements. Approximately 300 stream sites were classified by ecological similarity (membership in groups of relative physically- and chemically-homogeneity) and stream reference status (degree of anthropogenic impact, measured by physical and chemical characteristics). Biological attributes of the “least impacted” sites were assessed to distinguish groups with naturally similar macroinvertebrate taxonomic composition and community structure. Four regions of relative biological homogeneity were identified from among eight ecoregions. Variability of 70 metrics was tested within and among each bioregion and an index was formed from the metrics that responded consistently to stress. Stressed biological communities, identified by lower index scores, were found in 87% of the physically or chemically impacted sites. In the mountains, eight metrics were included in the index: insect taxa, non-insect taxa, Ephemeroptera taxa, percent Ephemeroptera, percent Oligochaeta, percent five dominant taxa, Hilsenhoff Biotic Index, and percent scrapers. In non-mountainous regions, ten metrics were included: total taxa, Ephemeroptera taxa, Plecoptera taxa, Trichoptera taxa, percent Plecoptera, percent non-insects, percent ten dominant taxa, biotic condition index (BCI CTQa), percent collector-gatherers, and scraper taxa. Strategies for applying the index as a biological criterion in natural resource assessment, use support designations, and the TMDL process are suggested.
Improving Gyroscope’s Noise Performance By Embedding it in a Closed-Loop Involving Multiple Accelerometers

This work introduces an inertial measurement unit (IMU) architecture which combines several three-axis accelerometers and a three-axes gyroscope to provide an increased accuracy, low-noise measurement of the angular velocity. This is an extension of gyroscope-free IMUs, which use only accelerometers to measure the linear acceleration and translate it to angular velocity by solving a system of differential equations. Existing architectures cannot compensate for the accelerometers’ bias which integrated is translated to a constant drift of angular velocity. The proposed system exploits the basic operating principles of the gyroscope-free IMUs and uses a three-axis gyroscope in a closed-loop configuration to compensate for the effect of the accelerometers’ bias. Focusing on a very popular and highly cited IMU, the stability of the proposed system is proved analytically. Simulation results indicate that the proposed architecture excels in terms of noise performance; in the upper frequency range, it presents up to 30dB less noise at its output compared to the gyroscope.
Aplicação Combinada de Métodos Baseados em Árvores e Importância da Variável para Análise de Despesas de Campanhas Eleitorais

Este artigo apresenta o uso de métodos baseados em árvores e importância da variável por permutação como alternativa aos métodos lineares para a análise de despesas de campanhas eleitorais. Para tanto, analisou-se as despesas de candidatos à prefeitura nas eleições de 2020 com algoritmo ERT e a importância por permutação. Os resultados apontaram que gastos de maior importância foram os relacionados a comunicação e publicidade.
Peach and nectarine susceptibility to brown rot and protocol optimization to evaluate Monilinia fructicola sporulation

The fungus Monilinia fructicola, which causes brown rot in fruits, is one of the main peach pathogens. The emergence of fungicide-resistant fungus isolates, as well as the attempt to reduce sprays, favors adoption of other control strategies. Among them, one of the most important is genetic resistance. This study was carried out aiming to evaluate the susceptibility of 16 peach and 4 nectarine genotypes to brown rot, as well as to evaluate how well the sporulation area and diameter correlate with number of spores in the lesions. Both wounded and non-wounded fruits were inoculated with 10 μL of M. fructicola suspension. Wounded fruits from all genotypes (nectarines and peaches) showed susceptibility to M. fructicola, from 92 to 100% of incidence. The disease incidence was between 18 and 100% when non-wounded fruits were inoculated. High variability was detected for the fungus sporulation, in both wounded and non-wounded fruits, with ranges between 16 to 96% and 0 to 94%, respectively. The fungus sporulation was variable among the genotypes (between 0.1 to 96.0 conidia per mm2) and it is positively correlated with the diameter and area of sporulation. The genotypes Conserva 947, Conserva 1662, Conserva 672, Conserva 1600, and 'Bolinha', are the ones with less susceptible to brown rot.
Testing of Rubber Composites Reinforced with Carbon Nanotubes

Carbon nanotubes (CNTs) have attracted growing interest as a filler in rubber nanocomposites due to their mechanical and electrical properties. In this study, the mechanical properties of a NR/BR/IR/SBR compound reinforced with single-wall carbon nanotubes (SWCNTs) were investigated using atomic force microscopy (AFM), tensile tests, hardness tests, and a dynamical mechanical analysis (DMA). The tested materials differed in SWCNT content (1.00–2.00 phr) and were compared with a reference compound without the nanofiller. AFM was used to obtain the topography and spectroscopic curves based on which local elasticity was characterized. The results of the tensile and hardness tests showed a reinforcing effect of the SWCNTs. It was observed that an addition of 2.00 phr of the SWCNTs resulted in increases in tensile strength by 9.5%, Young’s modulus by 15.44%, and hardness by 11.18%, while the elongation at break decreased by 8.39% compared with the reference compound. The results of the temperature and frequency sweep DMA showed higher values of storage and loss moduli, as well as lower values of tangent of phase angle, with increasing SWCNT content.
AIVUS: Guidewire Artifacts Inpainting for Intravascular Ultrasound Imaging With United Spatiotemporal Aggregation Learning

The Intravascular Ultrasound (IVUS) technology is an important imaging modality used in realistic clinical practice, it is often combined with coronary angiography (CAG) to diagnose coronary artery disease. As the golden standard for in vivo imaging of coronary artery walls, it can provide high-resolution images of the artery wall. Generally, the IVUS acquisition device uses an ultrasonic transducer to acquire the fine-grained anatomical information of the cardiovascular tissue by means of pulse echo imaging. However, widely used mechanical rotating imaging system suffered from guidewire artifacts. The inadequate visualization caused by artifacts often caused huge trouble for clinical diagnosis and subsequent tissue structure evaluation, and there is no suitable way to solve this long-standing problem so far. In this paper, we conducted an exploratory study and proposed the first deep learning based network named AIVUS for repairing the corrupted IVUS images. The network has a novel generative adversarial architecture, the united of gated convolution and spatiotemporal aggregation structure has been introduced to enhance its restoration capability. The proposed network can handle large-scale, moving guidewire artifacts, and it can fully utilize spatial and temporal information hidden in sequence to recover the high-fidelity original content and maintain consistency between frames. Furthermore, we compared it with several latest restoration models, including both image restoration and video restoration models. Qualitative and quantitative comparison results on the collected IVUS datasets demonstrate that our method has achieved outstanding performance and its potential clinical value.
Towards a Biomechanical Understanding of Tempo in the Golf Swing

It is proposed that aspects of the tempo of the golf swing can be understood in terms of a biomechanical clock. This model explains several aspects of tempo in the golf swing; including total duration of the golf swing, the ratio of backswing to downswing time, and the relative insensitivity of tempo on the length of the golf shot. We demonstrate that this clock and the resulting tempo are defined by of the rotational inertia of the body/club system and the elastic properties of the body, yielding a system which can be modeled as a simple harmonic oscillator.
Actions of Metformin in the Brain: A New Perspective of Metformin Treatments in Related Neurological Disorders

Metformin is a first-line drug for treating type 2 diabetes mellitus (T2DM) and one of the most commonly prescribed drugs in the world. Besides its hypoglycemic effects, metformin also can improve cognitive or mood functions in some T2DM patients; moreover, it has been reported that metformin exerts beneficial effects on many neurological disorders, including major depressive disorder (MDD), Alzheimer’s disease (AD) and Fragile X syndrome (FXS); however, the mechanism underlying metformin in the brain is not fully understood. Neurotransmission between neurons is fundamental for brain functions, and its defects have been implicated in many neurological disorders. Recent studies suggest that metformin appears not only to regulate synaptic transmission or plasticity in pathological conditions but also to regulate the balance of excitation and inhibition (E/I balance) in neural networks. In this review, we focused on and reviewed the roles of metformin in brain functions and related neurological disorders, which would give us a deeper understanding of the actions of metformin in the brain.
Analysis of Gini’s Mean Difference for Randomized Block Design

Analysis of Gini’s mean difference (ANOMD) for a randomized block design is derived where the total sum of difference (TSD) is partition into exact block sum of difference (BLSD), exact treatment sum of difference (TRSD) and within sum of difference (WSD). This exact partition is used for comparison of several mean and median values. The exact partitions are derived by getting rid of the absolute function from Gini’s mean difference (GMD) by using the idea of redefined the GMD as a weighted average of the data with sum of weights zero. ANOMD has advantages: offers meaningful measure of dispersion, does not square data, and the TSD does not depend on fixed location while BLSD, TRSD and WSD are depending on fixed location. Two ANOMD graphs are proposed. However, two tests for mean and median are proposed under the assumption of normal distribution. The ANOMD is compared with ANOVA and the effect sizes are shown that the percentage of explained variation based on ANOMD is more than the one based on ANOVA.
Let Me Think about It: Cognitive Elaboration and Strategies of Resistance to Political Persuasion

ABSTRACT Although individuals have a whole arsenal of resistance strategies they can use to defend their attitude against a persuasion attack, resistance has often been simplified to counterarguing. This article advances previous studies by considering eight distinct resistance strategies and analyzing their isolated and intertwined effect on attitude change. We further ask under what circumstances they work most effectively to curb persuasion by looking at their interaction with cognitive elaboration – that is, thoughtful and systematic processing. We present new evidence from a study conducted on a sample of American citizens (N = 528) and use a quasi-experimental design in which respondents are exposed to a tailored counterargument on a political issue. The results suggest that it is not the use of the isolated resistance strategies but that it is overall effort individuals put into resisting that help them to defend their attitude, and that this effect is reinforced by cognitive elaboration.
Effect of grape pomace feeding on fattening parameters and fatty acids profile in geese

It was published, that grape pomace has a positive effect on the animal organism and is also a rich source of fatty acids. The inclusion of grape pomace in the geese feed mixture was the main objective of the following experiment. The addition of grape pomace into the feed mixture was used to investigate to what extent will affect the fattening parameters of geese and the profile of fatty acids analysed from the abdominal fat of geese. The experiment was carried out on 20 geese (Czech goose breed). Two groups were formed to obtain the same average weight. The average weight of the experimental group at the beginning was 1857 ±196 g. The average weight of the control group was 1872 ±248 g. For 49 days, both groups were fed a commercial complete feed mixture for geese fattening while in the experimental group 1% of the feed mixture was replaced by dried grape pomace. The average weight of geese of the control group at the end of fattening was 5579 ±770 g and of the experimental group 5752 ±752 g. The addition of dried grape pomace to the feed mixture in the fattening of geese increased the average daily weight gain of geese by 5.2% ( P ˃ 0.05), liver weight by 22.5% ( P <0.05) and increased the content of monounsaturated fatty acids by 2.5% ( P >0.05), especially oleic acid by 3.0% ( P >0.05). A reduced content of polyunsaturated fatty acids by 1.5% ( P >0.05) and decreased saturated fatty acid content by 3.2% ( P >0.05) was detected in the experimental group. It can be concluded that the addition of grape pomace affected the liver weight of fattened gees, while the effect on fatty acids composition was insignificant.
The Development of Hand Gestures Recognition Research: A Review

This paper contains a review of the literature published in the last 5 years that discusses the topic of hand gesture recognition. The focus in this paper leads the reader to see the development of research over the years in hand gesture recognition, in particular that discusses about performance, methods, and datasets used in hand gesture recognition. From this paper, hopefully it can attract researchers’ interest to develop technology more deeply, especially in the field of hand gesture recognition. Hand gestures are not only used as a medium of communication for people with disabilities. Hand gestures can also be used to interact with a computer without any special devices with the technology that is available today.
Introduction to the Physics of Waves

Balancing concise mathematical analysis with the real-world examples and practical applications that inspire students, this textbook provides a clear and approachable introduction to the physics of waves. The author shows through a broad approach how wave phenomena can be observed in a variety of physical situations and explains how their characteristics are linked to specific physical rules, from Maxwell's equations to Newton's laws of motion. Building on the logic and simple physics behind each phenomenon, the book draws on everyday, practical applications of wave phenomena, ranging from electromagnetism to oceanography, helping to engage students and connect core theory with practice. Mathematical derivations are kept brief and textual commentary provides a non-mathematical perspective. Optional sections provide more examples along with higher-level analyses and discussion. This textbook introduces the physics of wave phenomena in a refreshingly approachable way, making it ideal for first- and second-year undergraduate students in the physical sciences.