- Syndromic sebaceous nevus: current findings. [Journal Article]
- IJInt J Dermatol 2018 Feb 16
- CONCLUSIONS: All patients presenting with extensive sebaceous nevus of the craniofacial region should benefit from cerebral imagery and ophthalmic examination since there is a very high probability of associated abnormalities. The developmental problems encountered could not be definitively associated with the skin malformations.
- Skull metastasis revealing a renal tumor: A case report and review of the literature. [Journal Article]
- IJInt J Surg Case Rep 2018 Feb 10; 43:56-60
- CONCLUSIONS: Although metastases to the head and neck occur infrequently, they should be considered when evaluating any unusual subcutaneous mass in the head and neck. RCC should not be discounted when sites as unlikely as the calvaria are evaluated. Treatment of metastatic renal cell carcinoma is complex, and the optimal regimen for achieving a lasting response without severe toxicity has not yet been defined.
- Machine learning algorithms based on signals from a single wearable inertial sensor can detect surface- and age-related differences in walking. [Journal Article]
- JBJ Biomech 2018 Jan 12
- The aim of this study was to investigate if a machine learning algorithm utilizing triaxial accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could detect surface- an...
The aim of this study was to investigate if a machine learning algorithm utilizing triaxial accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could detect surface- and age-related differences in walking. Seventeen older (71.5 ± 4.2 years) and eighteen young (27.0 ± 4.7 years) healthy adults walked over flat and uneven brick surfaces wearing an inertial measurement unit (IMU) over the L5 vertebra. IMU data were binned into smaller data segments using 4-s sliding windows with 1-s step lengths. Ninety percent of the data were used as training inputs and the remaining ten percent were saved for testing. A deep learning network with long short-term memory units was used for training (fully supervised), prediction, and implementation. Four models were trained using the following inputs: all nine channels from every sensor in the IMU (fully trained model), accelerometer signals alone, gyroscope signals alone, and magnetometer signals alone. The fully trained models for surface and age outperformed all other models (area under the receiver operator curve, AUC = 0.97 and 0.96, respectively; p ≤ .045). The fully trained models for surface and age had high accuracy (96.3, 94.7%), precision (96.4, 95.2%), recall (96.3, 94.7%), and f1-score (96.3, 94.6%). These results demonstrate that processing the signals of a single IMU device with machine-learning algorithms enables the detection of surface conditions and age-group status from an individual's walking behavior which, with further learning, may be utilized to facilitate identifying and intervening on fall risk.
- Are cleavage anomalies, multinucleation, or specific cell cycle kinetics observed with time-lapse imaging predictive of embryo developmental capacity or ploidy? [Journal Article]
- FSFertil Steril 2018 Feb 13
- CONCLUSIONS: Morphokinetics may aid in selection of euploid embryos from a cohort of day 5/6 blastocysts.
- Are undocumented migrants' entitlements and barriers to healthcare a public health challenge for the European Union? [Review]
- PHPublic Health Rev 2016; 37:13
- Undocumented migrants (UMs) are at higher risk for health problems because of their irregular status and the consequences of economic and social marginalization. Moreover, the emergent reality of und...
Undocumented migrants (UMs) are at higher risk for health problems because of their irregular status and the consequences of economic and social marginalization. Moreover, the emergent reality of undocumented migration in Europe calls for action in the field of management of UM's health demands as their access to health services has become a sensitive political and social issue. In this light, this paper aims to address UMs' entitlement and barriers to healthcare and related policies citing evidence from peer-reviewed and grey literature concerning people living in a country within the European Union without the legal right to be/remain in the destination country. A systematic review was performed using several databases and websites, and a total of 54 publications in English, with full text available, were taken into consideration. Between 2000 and 2015, Europe hosted the second largest number of international migrants (20 million, 1.3 million per year) after Asia. Even though there is limited evidence specifically focused on UMs' health, it is possible to state that infectious diseases, chronic illnesses, mental disorders, maternal-child conditions, dental issues, acute illnesses and injuries are the most common pathologies. In most cases across Europe, UMs have access only to emergency care. Even in countries where they are fully entitled to healthcare, formal and informal barriers hinder them from being or feeling entitled to this right. Socio-cultural barriers, such as language and communication problems, lack of formal and informal social and healthcare networks and lack of knowledge about the healthcare system and about informal networks of healthcare professionals are all common impediments. From the healthcare providers' perspective, there can be difficulties in providing appropriate care and in dealing with cultural and language barriers and false identification. Communication strategies play a central role in addressing the inequalities in access to healthcare services, and the definition and provision of specific training, focused on UMs' health needs, would be desirable. Improving access to healthcare for UMs is an urgent priority since the lack of access is proven to have serious consequences for UMs' health and wellbeing. Notwithstanding, few available examples of policies and best practices aimed at overcoming barriers in the delivery of healthcare to UMs are available.
- Risk factors for perioperative morbidity in spine surgeries of different complexities: a multivariate analysis of 1009 consecutive patients. [Journal Article]
- SJSpine J 2018 Feb 13
- CONCLUSIONS: The present study confirms several modifiable and non-modifiable risk factors for peri- and early post-operative morbidities in spine surgery, among which surgical factors (complexity, revision surgery, instrumentation (including the pelvis etc.)) play a crucial role. A classification of surgical complexity is proposed and validated.
- Graded 6-OHDA-induced dopamine depletion in the nigrostriatal pathway evokes progressive pathological neuronal activities in the subthalamic nucleus of a hemi-parkinsonian mouse. [Journal Article]
- BBBehav Brain Res 2018 Feb 13; 344:42-47
- Recent studies have established methods for establishing a rodent model that mimics progressive stages of human Parkinson's disease (PD), via injection of graded doses of 6-hydroxydopamine (6-OHDA) i...
Recent studies have established methods for establishing a rodent model that mimics progressive stages of human Parkinson's disease (PD), via injection of graded doses of 6-hydroxydopamine (6-OHDA) into regions within the nigrostriatal pathway. However, the electrophysiological characteristics of the subthalamic nucleus (STN) in this model have not been fully elucidated in this model. This study aimed to investigate changes in the neuronal activity of the STN in a graded mouse model of PD. Increasing doses of 6-OHDA were unilaterally injected into the medial forebrain bundle (MFB) to produce a hemi-parkinsonian mouse model, mimicking early, moderate, advanced, and severe stages of human PD. Mice treated with higher doses of 6-OHDA demonstrated significantly lower rates of use of the impaired (contralateral) forelimb during wall contact, relative to sham mice. The STN firing rate was significantly increased in groups with >75% dopaminergic cell loss in the substantia nigra pars compacta (SNc), whereas little increase was observed in groups with partial lesions of the SNc, relative to the sham group. In addition, firing patterns of the STN in groups treated with higher doses of 6-OHDA became more irregular and exhibited burst-like patterns of activity, with dominant slow wave oscillations in the frequency range of 0.3-2.5 Hz. Our results demonstrated a strong correlation between neuronal activities in the STN and dopamine depletion in the nigrostriatal pathway, which can be manipulated by variation of 6-OHDA doses.
- Malignant fibrous histiocytoma in a patient presenting with urinary system symptoms. [Case Reports]
- RARev Assoc Med Bras (1992) 2017; 63(11):950-952
- Malignant fibrous histiocytoma is a rare tumor. It is most commonly seen in individuals between the fifth and seventh decades of life, in extremities, and less frequently in the retroperitoneum. Alth...
Malignant fibrous histiocytoma is a rare tumor. It is most commonly seen in individuals between the fifth and seventh decades of life, in extremities, and less frequently in the retroperitoneum. Although its etiology is not clearly known, radiotherapy, chemical agents, previous history of surgery, trauma and fracture, and Hodgkin lymphoma have been blamed. Leiomyosarcoma, liposarcoma and rhabdomyosarcoma should be taken into account in differential diagnosis. It is seen on computed tomography as a mass lesion with irregular borders and density similar to that of the surrounding muscle tissue. Necrotic and hemorrhagic components in the mass are characterized as heterogeneous low density areas. Fluid-fluid levels can be detected by computed tomography and magnetic resonance imaging.
- Correcting for missing and irregular data in home-range estimation. [Journal Article]
- EAEcol Appl 2018 Feb 16
- Home-range estimation is an important application of animal tracking data that is frequently complicated by autocorrelation, sampling irregularity, and small effective sample sizes. We introduce a no...
Home-range estimation is an important application of animal tracking data that is frequently complicated by autocorrelation, sampling irregularity, and small effective sample sizes. We introduce a novel, optimal weighting method that accounts for temporal sampling bias in autocorrelated tracking data. This method corrects for irregular and missing data, such that oversampled times are downweighted and undersampled times are upweighted to minimize error in the home-range estimate. We also introduce computationally efficient algorithms that make this method feasible with large datasets. Generally speaking, there are three situations where weight optimization improves the accuracy of home-range estimates: with marine data, where the sampling schedule is highly irregular, with duty cycled data, where the sampling schedule changes during the observation period, and when a small number of homerange crossings are observed, making the beginning and end times more independent and informative than the intermediate times. Using both simulated data and empirical examples including reef manta ray, Mongolian gazelle, and African buffalo, optimal weighting is shown to reduce the error and increase the spatial resolution of home-range estimates. With a conveniently packaged and computationally efficient software implementation, this method broadens the array of datasets with which accurate space-use assessments can be made. This article is protected by copyright. All rights reserved.
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- Seismic waveform simulation for models with fluctuating interfaces. [Journal Article]
- SRSci Rep 2018 Feb 15; 8(1):3098
- The contrast of elastic properties across a subsurface interface imposes a dominant influence on the seismic wavefield, which includes transmitted and reflected waves from the interface. Therefore, f...
The contrast of elastic properties across a subsurface interface imposes a dominant influence on the seismic wavefield, which includes transmitted and reflected waves from the interface. Therefore, for an accurate waveform simulation, it is necessary to have an accurate representation of the subsurface interfaces within the numerical model. Accordingly, body-fitted gridding is used to partition subsurface models so that the grids coincide well with both the irregular surface and fluctuating interfaces of the Earth. However, non-rectangular meshes inevitably exist across fluctuating interfaces. This non-orthogonality degrades the accuracy of the waveform simulation when using a conventional finite-difference method. Here, we find that a summation-by-parts (SBP) finite-difference method can be used for models with non-rectangular meshes across fluctuating interfaces, and can achieve desirable simulation accuracy. The acute angle of non-rectangular meshes can be relaxed to as low as 47°. The cell size rate of change between neighbouring grids can be relaxed to as much as 30%. Because the non-orthogonality of grids has a much smaller impact on the waveform simulation accuracy, the model discretisation can be relatively flexible for fitting fluctuating boundaries within any complex problem. Consequently, seismic waveform inversion can explicitly include fluctuating interfaces within a subsurface velocity model.