Functional Outcomes of the Management of Acromioclavicular Joint Dislocation With a Clavicle Hook Plate: A Retrospective Study.

Background: Dislocation of the acromioclavicular joint (ACJ), accounting for 9%-12% of all shoulder injuries, is a frequent shoulder problem. Clavicular hook plates have proven to be a successful implant choice for surgical management. The benefit of this method is that it preserves the diarthrosis of the ACJ while reducing dislocation.

Preoperative Prediction of the Scaphoid Screw Length for the Fixation of Fractures Using MRI Measurements of Finger Phalanges.

Introduction: Scaphoid fractures are one of the most common carpal bone fractures, with most fractures involving the waist. When surgery is indicated, internal fixation with screws is the standard method for the fixation of these fractures. Accurate length and trajectory of the screw are two crucial parameters essential for optimal internal fixation.

The Influence of Timing of Surgery on Postoperative Length of Hospital Stay in Closed Ankle Fractures.

Background Ankle fractures are prevalent lower limb injuries that often necessitate surgical intervention to restore joint stability and functionality. Delays in surgical management can extend hospital stays and elevate the risk of complications. This study aims to evaluate the effect of surgical timing on the postoperative length of hospital stay in patients with closed ankle fractures managed through open reduction and internal fixation (ORIF).

Efficacy of Local Intralesional Steroid Injection for Pain Relief in De Quervain's Tenosynovitis.

Introduction: Conservative treatment options, such as rest, massage, cold and heat packs, wrist splints, braces, physical therapy, thumb spica casts, and local steroid injections, have been used with mixed results to treat De Quervain's tenosynovitis. Surgical treatment, like releasing the first dorsal wrist compartment, is the last resort for resistant cases of De Quervain's tenosynovitis, exhibiting an efficacy of 91%. However, complications and increased expenses have limited the use of surgical interventions.

Innovative Approaches to Continuing Medical Education.

Background: Continuing medical education (CME) is vital for healthcare professionals to maintain clinical competence and keep pace with the rapidly evolving medical landscape. Traditional CME models often fall short of meeting the dynamic needs of modern healthcare professionals.

Objective: This study explores innovative CME methods, including microlearning, Just-in-Time Training (JITT), and digital platforms, to assess their effectiveness and identify potential barriers to adoption.

Functional Outcomes of Distal Tibia Fractures Treated With Minimally Invasive Percutaneous Plate Osteosynthesis (MIPPO).

Background: The tibia, a crucial long bone in the lower leg, plays a vital role in supporting mobility. Distal tibial fractures (DTFs) are relatively uncommon among lower extremity fractures. Minimally invasive percutaneous plate osteosynthesis (MIPPO) has become increasingly popular due to advancements in surgical techniques and its potential for positive clinical outcomes.

A Comparison of Nerve Injury in Cross Versus Lateral Pinning Fixation of Displaced Supracondylar Humerus Fracture.

Background And Objective: Supracondylar fracture of the humerus (SCFH) is a common pediatric fracture encountered in orthopedic surgery. The most frequently used pinning methods include cross pinning or lateral pinning with two or three pins. However, complications such as ulnar nerve injury can occur, particularly during medial pinning, which necessitates careful isolation of the ulnar nerve and expert surgical intervention.

Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model.

Software defect prediction aims to find a reliable method for predicting defects in a particular software project and assisting software engineers in allocating limited resources to release high-quality software products. While most earlier research has concentrated on employing traditional features, current methodologies are increasingly directed toward extracting semantic features from source code. Traditional features often fall short in identifying semantic differences within programs, differences that are essential for the development of reliable and effective prediction models.

Genetic variability of Haemonchus contortus isolates in small ruminants from slaughterhouses in Bangladesh.

Haemonchus contortus is a blood-sucking gastrointestinal nematode that infects all ruminants and causes significant economic losses in production. Characterizing the genetic variability of H. contortus populations is crucial for understanding patterns of disease transmission and developing effective control strategies against haemonchosis.

Cerebellar Stroke in a Young Adult Following an Amusement Park Ride.

The incidence of stroke in young individuals has been showing an increasing trend. In such cases, atypical mechanisms of stroke should be considered. Here, we report a case of a 37-year-old healthy female who presented with complaints of right-sided ataxia and clumsiness that started after an amusement park ride where she was swung rapidly.

Application of Potassium after Waterlogging Improves Quality and Productivity of Soybean Seeds.

Potassium (K) improves the stress tolerance of crop plants, which varies on the timing of K application and crop varieties. Soybean is a promising crop that can easily fit with the cropping pattern during kharif I season, when water logging occurs due to sudden rain. Therefore, an experiment was conducted to determine the effect of K management on the productivity and seed quality of soybean under normal and waterlogged conditions.

Jitter noise modeling and its removal using recursive least squares in shape from focus systems.

Three-dimensional shape recovery from the set of 2D images has many applications in computer vision and related fields. Passive techniques of 3D shape recovery utilize a single view point and one of these techniques is Shape from Focus or SFF. In SFF systems, a stack of images is taken with a single camera by manipulating its focus settings.

A new focus measure operator for enhancing image focus in 3D shape recovery.

Measuring the image focus is an important issue in Shape from Focus methods. Conventionally, the Sum of Modified Laplacian, Gray Level Variance (GLV), and Tenengrad techniques have been used frequently among various focus measure operators for estimating the focus levels in a sequence of images. However, they have various issues such as fixed window size and suboptimal focus quality.

A simplified approach using deep neural network for fast and accurate shape from focus.

Three-dimensional shape recovery is an important issue in the field of computer vision. Shape from Focus (SFF) is one of the passive techniques that uses focus information to estimate the three-dimensional shape of an object in the scene. Images are taken at multiple positions along the optical axis of the imaging device and are stored in a stack.

Optimal depth estimation using modified Kalman filter in the presence of non-Gaussian jitter noise.

The consideration of the noise that affects 3D shape recovery is becoming very important for accurate shape reconstruction. In Shape from Focus, when 2D image sequences are obtained, mechanical vibrations, referred as jitter noise, occur randomly along the z-axis, in each step. To model the noise for real world scenarios, this article uses Lévy distribution for noise profile modeling.

Smartphone-Based Point-of-Care Urinalysis Under Variable Illumination.

Urine tests are performed by using an off-the-shelf reference sheet to compare the color of test strips. However, the tabular representation is difficult to use and more prone to visual errors, especially when the reference color-swatches to be compared are spatially apart. Thus, making it is difficult to distinguish between the subtle differences of shades on the reagent pads.

Removal of jitter noise in 3D shape recovery from image focus by using Kalman filter.

In regard to Shape from Focus, one critical factor impacting system application is mechanical vibration of the translational stage causing jitter noise along the optical axis. This noise is not detectable by simply observing the image. However, when focus measures are applied, inaccuracies in the depth occur.

Unorthodox approach toward microscopic shape from image focus using optical microscopy.

Shallow depth-of-field is an inherent property of optical microscope. Because of this limitation, it is usually impossible to image large three-dimensional (3D) objects entirely in focus. However, the in-focus information of the object's surface can be acquired over a range of images by optical sectioning of the object in consideration.

Sampling for shape from focus in optical microscopy.

Shape from focus (SFF), which relies on image focus as a cue within sequenced images, represents a passive technique in recovering object shapes in scenes. Although numerous methods have been recently proposed, less attention has been paid to particular factors affecting them. In regard to SFF, one such critical factor impacting system application is the total number of images.

MRT letter: recovering weak-textured surfaces using image focus.

In nature, objects have partially weak texture and their shape reconstruction using focus based passive methods like shape from focus (SFF), is difficult. This article presents a new SFF algorithm which can compute precise depth of dense as well as weak textured objects. Segmentation is applied to discard wrong depth estimate and then later interpolating them from accurate depth values of their neighbors.

A novel method for shape from focus in microscopy using Bezier surface approximation.

In this article, we introduce a novel shape from focus method to compute 3D shape of microscopic objects, based on modified-pixel intensities and Bezier surface approximations. A new and simple but effective focus measure is proposed. In our focus measure, the original intensities of a sequence of small neighborhood are modified by subtracting the maximum of the values of first and last frames.