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Ischemic colitis (IC) accounts for more of the half of total diagnosis of gastrointestinal ischemia. It is a challenging condition due to non-specificity of the symptoms at onset, inconstant behaviour and a wide range of clinical gravity with a different therapeutic approach. A classification of IC into gangrenous, stricturing and transient forms can be considered.
In the presented case, due to hypovolemic hemorrhagic shock, the patient developed a progressive IC without gangrene but slowly evolving in multiple colonic strictures with general serious clinical condition. Endoscopy was used to confirm diagnosis and to tempt a pneumatic stricture dilation which resulted ineffective. A diverting stoma was required and an elective subtotal colectomy was carried out after resolution of the acute phase.
IC may present with a large spectrum of clinical conditions. In acute shocked patients it must be always considered when a complicated abdominal picture is present. NaOH Immediate surgery is not always required considering the spontaneous resolutions of the milder forms. Strictures are the most frequent evolution following the intermediate nongangrenous presentation and initially they can be treated conservatively with postponed tailored resection after the healing of the diffuse mucosal injuries.
Ischemic, colitis, Shock, Stricture.
Ischemic, colitis, Shock, Stricture.
The adaptive steepest descent projection onto convex set (ASD-POCS) algorithm is a promising algorithm for constrained total variation (TV) type norm minimization models in computed tomography (CT) image reconstruction using sparse and/or noisy data. However, in ASD-POCS algorithm, the existing gradient expression of the TV-type norm appears too complicated in the implementation code and reduces image reconstruction speed. To address this issue, this work aims to develop and test a simple and fast ASD-POCS algorithm.
Since the original algorithm is not derived thoroughly, we first obtain a simple matrix-form expression by thorough derivation via matrix representations. Next, we derive the simple matrix expressions of the gradients of TV, adaptive weighted TV (awTV), total p-variation (TpV), high order TV (HOTV) norms by term combinations and matrix representations. The deep analysis is then performed to identify the hidden relations of these terms.
The TV reconstruction experiments by use of sparse-view ASD-POCS algorithm may be tailored to extended image reconstruction fields with accelerated computational speed.
In order to solve the blurred structural details and over-smoothing effects in sparse representation dictionary learning reconstruction algorithm, this study aims to test sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive Group-Sparsity Regularization (AGSR-SART).
First, a new similarity measure is defined in which Covariance is introduced into Euclidean distance, Non-local image patches are adaptively divided into groups of different sizes as the basic unit of sparse representation. Second, the weight factor of the regular constraint terms is designed through the residuals represented by the dictionary, so that the algorithm takes different smoothing effects on different regions of the image during the iterative process. The sparse reconstructed image is modified according to the difference between the estimated value and the intermediate image. Last, The SBI (Split Bregman Iteration) iterative algorithm is used to solve the objective function. An abdominal image, a pelvic image and a thoracic image are employed to evaluate performance of the proposed method.
In terms of quantitative evaluations, experimental results show that new algorithm yields PSNR of 48.20, the maximum SSIM of 99.06% and the minimum MAE of 0.0028.
This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.
This study demonstrates that new algorithm can better preserve structural details in reconstructed CT images. It eliminates the effect of excessive smoothing in sparse angle reconstruction, enhances the sparseness and non-local self-similarity of the image, and thus it is superior to several existing reconstruction algorithms.
Office workers spend significant time in sedentary behaviors. Exploration of interventions to address this concern is warranted.
This study explored the impact of individualized goals and ergonomic modifications on sedentary behaviors and perceived health and well-being among office workers.
A six-week, one-group, pre- and post-test design was utilized to assess sedentary behaviors and perceptions of health and well-being among office workers using the RAND 36-Item Short Form Survey (SF-36), Numerical Pain Rating Scale (NPRS), Pittsburgh Sleep Quality Index (PSQI), Sedentary Behavior Questionnaire (SBQ), actigraphy, and a workstation assessment.
Statistically significant improvements were noted from pre- to post-test on the RAND SF-36 for energy/fatigue (p = 0.000) and emotional well-being (p = 0.049) and subjective sleep quality using the PSQI (p = 0.005). Participants (n = 17) could set up to two goals related to health and well-being. A majority of the 31 established goals were met increase physical activity (n = 11/16), reduce sedentary behavior (n = 8/11), and improve personal health (n = 3/4).
The use of individualized goals and ergonomic modifications is effective for addressing perceived health and well-being among office workers. However, limited statistical significance was found regarding the impact of these interventions on sedentary behaviors or activity levels.
The use of individualized goals and ergonomic modifications is effective for addressing perceived health and well-being among office workers. However, limited statistical significance was found regarding the impact of these interventions on sedentary behaviors or activity levels.
Multiple sclerosis (MS) is a neurological chronic disease that causes a number of physical, cognitive and emotional symptoms. The identification of these factors will allow mitigating unemployment and improve quality of life of patients. The Buffalo Vocational Monitoring Survey (BVMS) is a tool to characterize Work-Challenged patients.
To describe and analyze BVMS data in people with multiple sclerosis (PwMS) from Argentina. To study the association with physical, cognitive and psychiatric morbidity in employed patients, comparing the performance of MS Work-Challenged and MS Work-Stable patients, with and without accommodations.
119 MS patients were administered the Argentina adaptation of the BVMS, and completed measures of physical disability, fatigue, depression, cognitive processing speed, memory and verbal fluency.
65.54% of the patients were employed and 19.32% were unemployed, the remaining having roles of housewife, students and disability retirees. Within the employed subgroup, 60.26% were working as employees and 39.74% were self-employed. Cognitive and clinical variables differentiate patients with and without negative events and accommodations (p > 0.05).
This Spanish version BVMS is considered a new tool to monitor employment difficulties in Spanish-speaking MS patients. MS Work-Challenged had a higher depression, fatigue and worse performance in cognitive variables.
This Spanish version BVMS is considered a new tool to monitor employment difficulties in Spanish-speaking MS patients. MS Work-Challenged had a higher depression, fatigue and worse performance in cognitive variables.
Occupational skin disease (OSD) is a common health issue in the food processing sector. However, risk factors for OSD are suspected to differ according to the nature of the operation.
To ascertain if the risk factors for OSD vary depending on the type of food processing operation, namely meat processing vs. a commercial bakery.
Participants were asked to answer questions regarding workplace exposures and the current skin condition of their hands. Bivariate analyses were conducted to identify differences between the two participating operations.
The meat processing workers were more likely to have wet work exposure, used hand sanitizer more often and changed their gloves more frequently. These findings from meat processing represented a statistically significant difference compared to the commercial bakery workers. Also, workers from meat processing reported more severe skin symptoms.
Risk factors for OSD apparently differ between types of food processing operations. Differences in the nature of skin symptoms were also found between the two participating operations. It is therefore suggested that future studies examining OSD within the food processing sector should evaluate this health effect based on the nature of operations rather than the sector as a whole.
Risk factors for OSD apparently differ between types of food processing operations. Differences in the nature of skin symptoms were also found between the two participating operations. It is therefore suggested that future studies examining OSD within the food processing sector should evaluate this health effect based on the nature of operations rather than the sector as a whole.
Residual capacity evaluation via neuropsychological testing can facilitate the development of a rehabilitation plan in patients following a traumatic brain injury (TBI).
This study aimed to confirm the tasks that patients must perform well for early return to work (RTW) following TBI using the Wechsler Adult Intelligence Scale III (WAIS-III).
In total, 40 male and 13 female patients who suffered from neurobehavioral disabilities following TBI were recruited and classified into two groups the successfully returned to work group (SRTW-G; n = 22) and the unsuccessfully returned to work group (USRTW-G; n = 31). The outcomes assessed by WAIS-III and the time to RTW were compared between the SRTW-G and USRTW-G groups. Multiple logistic regression, multiple regression analysis, and Cox regression were employed to assess differences between the groups.
The Comprehension and Letter-Number Sequencing subtests of the WAIS-III were significantly correlated with early RTW more than the other subtests.
We found that, as reflected in the two subtests, patients with TBI must be able to perform well in the following tasks for early RTW Retention of information for short time periods, information processing, and social judgment based on the knowledge of the patient's experience.
We found that, as reflected in the two subtests, patients with TBI must be able to perform well in the following tasks for early RTW Retention of information for short time periods, information processing, and social judgment based on the knowledge of the patient's experience.
Health problems due to musculoskeletal disorders (MSD) and common mental disorders (CMD) result in costs due to lost productivity.
This study aimed to increase knowledge of employers' productivity loss due to employees' presenteeism and sickness absence.
A web questionnaire was sent to employers of workers who were sick-listed for more than 30 days due to MSD or CMD, response rate 50%, n = 198. Presenteeism and the impact on productivity before and after sick leave, and the performance of work tasks by replacement workers during sick leave, were measured using supervisors' ratings.
The average loss of productivity per sick-leave case amounted to almost 10 weeks, 53%of productivity loss was attributable to presenteeism and 47%to lower productivity by replacement workers. Employees with a CMD diagnosis had significantly higher presenteeism-related productivity loss than those with MSD.
Employers experienced substantial productivity loss associated with employees' presenteeism and sick leave. Whether the supervisory rating of presenteeism is preferable to employee self-rating needs to be studied further.
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