Miracle-dz/UniFAR-FTUs huggingface dataset:
Distribution of age, gender, and occupation among individuals with carpal tunnel syndrome based on the National Health Insurance data and National Employment Insurance data

Background The present study aimed to investigate the basic characteristics of carpal tunnel syndrome (CTS) and its differences between occupations using Korea's National Health Insurance (NHI) and National Employment Insurance (NEI). Methods The study participants were obtained from the NEI and NHI data from 2008 to 2015, with a diagnosis code of G560 (CTS) as the main or sub-diagnosis. Data about gender, age, diabetes mellitus, smoking, drinking, and length of employment, information about type of occupation, and number of employees according to age and occupation were obtained from NHI and NEI data. In total, 240 occupations were classified into blue-collar (BC) and white-collar (WC) work. In addition, each occupation was classified as high-risk and low-risk groups depending on the degree of wrist usage. Results The number of patients with CTS per 100,000 individuals increased with advancing age, and it was higher in women (4,572.2) than in men (1,798.5). Furthermore, the number was higher in BC workers (3,247.5) than in WC workers (1,824.1) as well as in the high-risk group than in the low-risk group in both BC workers (3,527.8 vs. 1,908.2) and WC workers (1,829.9 vs. 1,754.4). The number of patients with CTS was higher in the high-risk group than in the low-risk group among male and female BC workers and female WC workers. However, the number was higher in the low-risk group among male WC workers. In the BC category, the number of patients with CTS was highest among food processing-related workers (19,984.5). In the WC category, the number of patients with CTS was highest among social workers and counselors (7,444.1). Conclusions The results of this study are expected to help identify occupational differences in patterns of CTS. High number of patients with CTS was seen in new jobs, as well as in previous studies.
Chemotherapeutics for control and treatment of ectoparasites in companion animals.

This review presents a comprehensive summary of external antiparasitic drugs evolved in recent years with special reference to development of new ingredients and formulations for effective control of external parasites in canines. Old chemical groups (organochlorines, organophosphates, carbamates) have been supplanted by new generation drugs (amitraz, synthetic pyrethroids, phenylpyrazoles, neonicotinoids, oxadiazines, spinosyns). In addition, insect and mite growth inhibitors have emerged and are used in animals or in the environment, either alone or in combination. At the same time, ease-of-use has been improved with development of spot-on formulations. The various active molecules and their formulations alone or in combination along with their activity spectrum and safety measures are discussed.
Biological markers for kidney injury and renal function in the intensive care unit

The purpose of the investigations described in this thesis was to seek for answers to two relevant questions in ICUs in resource-rich settings, i.e., can new biological markers play a role in early recognition of AKI, and can new biological markers predict recovery of renal function in patients who receive CVVH? A second aim was to answer a relevant question in ICUs in resource-poor settings, i.e., can novel biological markers predict development of AKI and need for RRT in patients with severe P. falciparum malaria? Both CyC and NGAL have been suggested promising endogenous biological markers for AKI in ICU patients. Results from the prospective observational SCARF study suggests that neither CyC nor NGAL are useful biological markers for AKI and need for RRT. The patient population in SCARF is rather heterogeneous. We believe this cohort better reflects the patient populations seen in the ICU in whom the abovementioned questions are relevant. Based on the findings in the SCARF study and its secondary analyses we conclude CyC and NGAL cannot serve as biological markers in clinical practice. As suPAR has a good prognostic value in patients with the systemic inflammatory response syndrome, sepsis or bacteremia, we speculated suPAR to have pathogenetic role in patients with severe P. falciparum. The investigation described in this thesis suggests this to be true. But a prognostic value for suPAR with AKI in this specific patient group was not confirmed.
On the Improvement of the Knuth's Redundancy Algorithm for Balancing Codes

A simple scheme was proposed by Knuth to generate balanced codewords from a random binary information sequence. However, this method presents a redundancy which is twice as that of the full sets of balanced codewords, that is the minimal achievable redundancy. The gap between the Knuth’s algorithm generated redundancy and the minimal one is significantly considerable and can be reduced. This paper attempts to achieve this goal through a method based on information sequence candidates. 
New Synthetic Route for the Growth of α-FeOOH/NH2-Mil-101 Films on Copper Foil for High Surface Area Electrodes

A novel metal organic framework (MOF)-based composite was synthesized on a Cu substrate via a two-step route. An amorphous iron oxide/hydroxide layer was first deposited on a Cu foil through a sol–gel process; then, Fe-NH2-Mil-101 was grown using both the iron oxide/hydroxide matrix, which provided the Fe3+ centers needed for MOF formation, and 2-aminoterephthalic acid ethanol solution. This innovative synthetic strategy is a convenient approach to grow metal oxide/hydroxide and MOF composite films. Structural, chemical, and morphological characterizations suggest that the obtained composite is made up of both the α-FeOOH goethite and the NH2-Mil-101 phases featuring a hybrid heterostructure. The electrochemical features of the composite structure were investigated using electrochemical impedance spectroscopy. The impedance behavior of the α-FeOOH/NH2-Mil-101 films indicates that they can be used as efficient high surface area metal hydroxide/MOF-based electrodes for applications such as energy storage and sensing.
Oncogenic Wnt3a: A Candidate Specific Marker and Novel Molecular Target for Hepatocellular Carcinoma

Background and aim: It is of the utmost importance for the specific diagnosis and effective therapy of hepatocellular carcinoma (HCC). Abnormality of oncogenic Wingless-type MMTV integration site family member 3a (Wnt3a) has been associated with progression of HCC. In this study, we aimed to evaluate Wnt3a as a novel biomarker and target for HCC. Methods: Circulating Wnt3a levels were quantitatively detected in a cohort of chronic liver diseases by an enzyme-linked immune-absorbent assay (ELISA). Hepatic Wnt3a expression in HCC and para-cancerous tissues was analyzed by immunohistochemistry. Prognostic value of Wnt3a for HCC was discovered in the cohort from the Cancer Genome Atlas (TCGA). Dynamic alterations of Wnt3a levels were detected in the hepatocarcinogenesis model induced by 2-acetylaminofluorene. Effects of Wnt3a on biological behaviors were evaluated in vitro and in vivo based on Crispr/Cas9. Results: Up-regulated Wnt3a levels were observed in serum of HCC patients with high specificity and sensitivity for HCC diagnosis. Combination of Wnt3a and AFP could improve sensitivity to 93.9% in serological detection. In addition, Wnt3a expression in HCC tissues was significantly higher than that in para-cancerous tissues. The cohort of TCGA demonstrated that high Wnt3a expression led to a poor survival of HCC patients, especially in cases at advanced stages. Furthermore, the hepatocarcinogenesis model showed that Wnt3a dynamically increased in the development of HCC. Functionally, silencing Wnt3a by Crispr/Cas9 suppressed the proliferation, colony formation, induced cell cycle arrest of HCC cells by de-activating Wnt/β-catenin pathway in vitro, and inhibited xenograft tumor growth in vivo. Conclusions: Oncogenic Wnt3a could be considered as a candidate biomarker and novel target for HCC.
Safe Walking in VR

Common natural walking techniques for navigating in virtual environments feature constraints that make it difficult to use those methods in cramped home environments. Indeed, natural walking requires unobstructed and open space, to allow users to roam around without fear of stumbling on obstacles while immersed in a virtual world. In this work, we propose a new virtual locomotion technique, CWIP-AVR, that allows people to take advantage of the available physical space and empowers them to use natural walking to navigate in the virtual world. To inform users about real world hazards our approach uses augmented virtual reality visual indicators. A user evaluation suggests that CWIP-AVR allows people to navigate safely, while switching between locomotion modes flexibly and maintaining a adequate degree of immersion.
Hayvanlarda akut faz proteinleri, kullanım amaçları ve klinik önemi

Oz: Hayvanlar bir dis etkiyle karsilasinca vucut bu etkeni elimine etmek icin bir uyari mekanizmasi tetikler. Bu mekanizmaya akut faz yaniti (AFY), mekanizmanin urunu olan ve karacigerden salinan kan proteinlerine ise akut faz proteinleri (AFP) denir. Akut faz proteinleri yangisal durumlarda artis ve azalis gostermelerine gore sirasiyla pozitif ve negatif olarak ikiye ayrilirlar. AFP’leri hastaliklarin on habercileri olarak genel saglik taramalarinda kullanilabildigi gibi, tedavinin etkinliginin takibinde, teshis ve prognoz belirlemede de kullanilabilir. Bu derlemede, literaturde sik kullanilan akut faz proteinleri, kullanim alanlari ve klinik onemi ic hastaliklari acisindan ozetlenmistir. Anahtar sozcukler : Akut faz proteinleri, akut faz yaniti, serum amyloid A, C-reaktif protein.
Risks and Risk Factors of Repeated Suicidal Attempt: Study on Unconscious Poisoned Patients

Background: Most drug overdoses are due to suicidal attempts. This study was designed to analyze the risks and risk factors of poisoned patients with repeated suicidal attempt in Iran. Methods: This case-control study was conducted at Loghman Hakim Hospital, Tehran, Iran, during April to May 2008. Eighty-seven patients who were admitted due to drug overdose with loss of consciousness were enrolled. Patients were categorized to cases including 19 patients with history of previous suicidal attempt (repeated suicidal attempt), and controls including 66 patients without this history. Only patients who consumed drugs for self-harm were included. Demographic characteristics, past medical history, baseline physical examinations, dose and class of drugs used were recorded. Results: History of previous suicidal attempt had a significant association with the type of drugs used for poisoning (P=0.04) and history of psychological disorders (P<0.01). Dose of ingested drugs (P=0.020), time interval between drug ingestion and emergency medical service arrival (P=0.021), severity of unconsciousness (P=0.046) and need for ICU care (P=0.013) were significantly higher in patients with repeated suicidal attempt. There was no significant difference between the two groups in terms of age, gender and history of illicit substance abuse. Conclusion: According to these findings, when dealing with patients with loss of consciousness due to drug overdose, those with history of previous suicidal attempt are in more risks and need significantly more attention compared to those without such history. Considering history of previous suicidal attempts in poisoned patients can help medical professionals in determining more definitive prognosis and more effective treatment plan.
Aspectos maternos y fetales.

It is a fact known to the Peruvians the recent decline in about 30 years of GDP and purchasing power, which brought consequently a deterioration of the socioeconomic and political conditions of the country and food deficit. Thus the calorie deficit was around 35% and 40% protein deficit, tending to worsen 26. Of course, proper nutrition depends not only on purchasing power, but knowledge about food and food that we have. Unfortunately, most of the Peruvian population know about quality and nutritional value of food, and eat diets that are negatively unbalanced.
Water Bodies: VR Interactive Narrative and Gameplay for Social Impact

Partnered with UN Environment, an interactive and immersive virtual reality (VR) experience was produced that takes participants on a journey through the human stomach to raise awareness of microplastics that are unknowingly consumed in our daily lives. The creative practice and research addresses UN Sustainable Development Goal #12: Responsible Consumption and Production. Through novel, exciting and engaging interactive narrative and gameplay mechanics, Water Bodies delivers a serious underlying message to encourage participants to question their use of plastic and to drive towards a positive environmental impact.
Coordinated Tracking of a Leader with Bounded Input Using Adaptive Event-Triggered Protocols*

This paper considers the distributed event-triggered tracking control problem for multi-agent networks with a leader of unknown control input. The existence of the leader’s nonzero control input makes the multi-agent systems essentially heterogeneous and thus increases the difficulty of designing fully distributed event-based protocols for such networks. To solve this problem, we propose a smooth adaptive event-triggered protocol, under which the tracking error is uniformly ultimately bounded and the Zeno behavior is excluded. Compared to previous related works, the main contribution of this paper is that the proposed adaptive event-based protocol is fully distributed and scalable, since it does not require any global information of the network graph and is independent of the network’s scale. Furthermore, the proposed event-based protocol is able to save limited communication bandwidth and energy resources.
Spectral-Spatial Classification of Hyperspectral Image based on a Joint Attention Network

Deep neural networks have been successfully applied to extracting deep features for many hyperspectral tasks. Attention mechanism has been widely used in computer vision, inspired by this, we have designed a joint attention network for spectral-spatial classification of hyperspectral image. In our method, recurrent neural network (RNN) with attention can learn inner spectral correlations within a continuous spectrum, convolutional neural network (CNN) with attention is designed to focus on saliency features and spatial dependency in the neighbor regions. Experimental results demonstrate that our method can fully utilize spectral and spatial information to obtain competitive performance.
Impact of a national guideline on use of knee arthroscopy: An interrupted time-series analysis

Abstract Objective To assess the impact of the Swedish health authority recommendation against the use of knee arthroscopy in patients aged ≥40 years with knee osteoarthritis (OA). Design Interrupted time series analysis. Setting Public health care in Skåne region. Participants Patients aged ≥40 years who underwent knee arthroscopy from January 2010 to December 2015. Intervention(s) National guideline’s recommendation against the use of knee arthroscopy in patients with knee OA. Main Outcome Measure(s) 1) proportion of patients aged ≥40 years with a main diagnosis of Knee OA and/or degenerative meniscal lesions (DML) who underwent knee arthroscopy, and 2) overall knee arthroscopy rate per 100,000 Skåne population aged ≥40 years. Results A total of 6,155 knee arthroscopy were performed among people aged ≥40 years during study period. Of 42,044 patients with Knee OA/DML, 3,728 had knee arthroscopy. The recommendation was associated with reductions in the use of knee arthroscopy and two years after the recommendation, there was a reduction of 28.6% (95% CI: 9.3, 47.8) and 34.7% (23.9, 45.4) in proportion of Knee OA/DML patients with knee arthroscopy and the overall knee arthroscopy rate, respectively, relative to that expected if pre-recommendation trend continued. Our sensitivity analysis showed that the use of total knee replacement was stable over the study period. Conclusion The national recommendation was associated with reduction in use of knee arthroscopy in public health care in southern Sweden. However, still 4.5% of these patients underwent knee arthroscopy in 2015 implying that more efforts are required to achieve the recommended target.
Increasing Insar Coverage in Vegetated and Rough Terrain Using Temporal Stable Pixels

PS-InSAR has been proven to be a valuable technique for retrieving high accuracy crustal deformations by handpicking pixels with high phase stability identified as permanent scatterers. To increase the coverage area, pixels with stable spatial coherence throughout the InSAR stack have been used, which are identified as temporal coherent pixels (TCP). This technique excludes pixels with stable phase behavior because of their temporal varying neighboring pixels. In this paper, we identify the temporal correlation threshold of multi-looked pixels that maximizes analysis area coverage and ensures high phase stability using simulation analysis that relates spatial coherence with temporal phase correlation. The proposed methodology is used to retrieve crustal deformations of the 2011 Tohoku earthquake in Sendai region, Japan which contains rough and vegetated areas. The coverage area has been increased by 39% compared to TCP selection criteria and the retrieved deformations shows a RMSE of few millimeters in comparison to GPS observations.
Navigation System for MACÁBOT an Autonomous Surface Vehicles Using GPS Aided Strapdown Inertial Navigation System

In this work the design, implementation and real-time tests of a navigation system for the autonomous surface vehicle MACÁBOT is presented. This vehicle represents a versatile platform to perform several tasks in the marine environment, such as; ports maintenance, marine productive ecosystems studies and bathymetries. The navigation system is responsible for accurately determining the position, velocity and attitude of the vehicle. It represents a fundamental component to autonomously carry out any of the aforementioned tasks. In this work, the navigation system is developed based on a GPS aided strap-down inertial navigation system using an extended Kalman filter sensor fusion algorithm. In order to provide an adaptive approach to the sensor fusion algorithm tuning a fuzzy inference system is used. The navigation system was implemented as a package for the Robot Operating System, benefiting from the advantages of heterogeneity, integration and hardware abstraction. Real time tests of the MACÁBOT on a local creek were carried out, showing satisfactory performance of the navigation system in both position and velocity estimates. In addition to these tests, simulations of GPS outages were carried out with the registered data to evaluate the performance of the navigation system in such cases
Hyperspectral Image Classification via Joint Sparse Representation

Many researches have been proved that the most important information of high-dimensional data (e.g. hyperspectral images, HSI) lies in a low-dimensional subspace spanned by some specific bases. Moreover, image pixels belonging to the same class are usually distributed in the same low-dimensional subspace. Therefore, the reduction of dimensionality for classification has become the major issue in hyperspectral image analysis. Sparse representation techniques can be used to process data with sparsity, so it is quite suitable for hyperspectral image analysis. Based on the sparse representation, the paper proposes a method suitable for hyperspectral image classification with learned dictionaries. In the proposed method, the spectral and spatial information are integrated simultaneously into a joint sparse representation in order to increase performances of hyperspectral image classification.
Evaluation and Validation of The MODIS LAI Algorithm with Digital Hemispherical Photography at Bhitar Kanika Mangrove Forest, India

Estimation of LAI is really a challenge and researchers are developing new methods to get more accurate estimation of LAI. MODIS continuously provides globally temporal LAI product and it is easily accessible for application and development purpose. But main problem is the spatial resolution (500m) where the main target features has affected due to the presence of unwanted features like clouds and others. It was concluded by previous researchers that MODIS MOD15A2H products give the overestimation or underestimation of LAI. From the Choudhury’s method [1] of view, using the available MODIS products like vegetation indices, view zenith angle, sun azimuthal angle information LAI estimation can be improved. In this study an algorithm was developed on the basis of this Choudhury method to extract the improved LAI estimation by indirectly retrieving of canopy leaf angle distribution function, extinction coefficient from the MODIS MODIS13Q1 product. This modified Choudhury method (ModcModLAIE) applied in the Bhitar Kanika mangrove forest of Odisha, India for estimating the LAI. It was proved and validated with the help of Digital Hemispherical Photography (DHP) that from the available MODIS products itself it is possible to extract finer resolution (250m) improved LAI product. DHP analysis works on the basic principle of Beer’s law, gap fraction calculation. At the time of comparison, it has shown that DHP extracted LAI has the higher correlation with ModcModLAIE output than the MOD15A2H LAI product. So, this research has proved the overestimation and underestimation fact of MODIS LAI product as well as it has shown a way to extract an improved LAI estimation from available course resolution MODIS products.
Meeting Minimum ESPEN Energy Recommendations Is Not Enough to Maintain Muscle Mass in Head and Neck Cancer Patients

The relationship between dietary intake and body composition changes during cancer treatment has not been well characterized. The aim of this study was to compare dietary intake at diagnosis and end of treatment in relation to changes in muscle mass and adiposity in head and neck cancer (HNC) patients. Dietary intakes (three-day food record) and body composition using computed tomography (CT) were assessed at diagnosis (baseline) and after treatment completion (post-treatment). Skeletal muscle (SM) loss was explored as a consequence of energy and protein intake in relation to the minimum and maximum European Society of Parenteral and Enteral Nutrition (ESPEN) guidelines. Higher energy intakes (kcal/kg/day) and increases in energy intake (%) from baseline to post-treatment were correlated with attenuated muscle loss (r = 0.62, p < 0.01; r = 0.47, p = 0.04, respectively). Post-treatment protein intake demonstrated a weak positive correlation (r = 0.44, p = 0.05) with muscle loss, which did not persist when controlling for covariates. Meeting minimum ESPEN energy guidelines (25 kcal/kg/day) did not attenuate SM loss, whereas intakes >30 kcal/kg/day resulted in fewer participants losing muscle. Greater baseline adiposity correlated with greater SM loss (p < 0.001). Energy intakes of 30 kcal/kg/day may be required to protect against SM loss during treatment in HNC patients. The influence of adiposity on SM loss requires further exploration.