Cross-education effects of balance training in individuals with chronic ankle instability.

Background: Individuals with chronic ankle instability (CAI) often experience deficits in balance, hip strength, and lumbopelvic stability. Unilateral balance training can lead to improved balance in the contralateral limb, but it is unknown if similar cross-education effects occur for hip strength and lumbopelvic stability. Our purpose was to determine if unilateral balance training improved balance, hip strength, and lumbopelvic stability of the contralateral limbs in individuals with CAI.

Comparing the Effects of Progressive Balance and Hip Strengthening Rehabilitation in Individuals With Chronic Ankle Instability.

Context: Chronic ankle instability (CAI) is associated with motor-behavioral and sensory-perceptual impairments, including reduced balance performance, hip strength, and ankle function, and increased disablement, and injury-related fear. Progressive balance training (BAL) and hip strengthening (HIP) can both improve balance and function, but their comparative effects are unknown. Our objective was to compare the effects of progressive BAL and HIP on balance, hip strength, and patient-reported outcomes in those with CAI.

Malware Detection for Internet of Things Using One-Class Classification.

The increasing usage of interconnected devices within the Internet of Things (IoT) and Industrial IoT (IIoT) has significantly enhanced efficiency and utility in both personal and industrial settings but also heightened cybersecurity vulnerabilities, particularly through IoT malware. This paper explores the use of one-class classification, a method of unsupervised learning, which is especially suitable for unlabeled data, dynamic environments, and malware detection, which is a form of anomaly detection. We introduce the TF-IDF method for transforming nominal features into numerical formats that avoid information loss and manage dimensionality effectively, which is crucial for enhancing pattern recognition when combined with n-grams.

Beyond the First Trimester: Social Determinants of Delayed Prenatal Care at a Community Health Center Using the PRAPARE Tool.

Social determinants of health have been used to explore associations with pregnancy outcomes and the birth weight of infants; however, research employing individually based social risk measures has not examined associations among underserved populations, including pregnant persons at community health centers. Data were collected from a sample (n = 345) of pregnant persons who sought care at a community health center between January 2019 and December 2020. Social risks of pregnant patients were measured using the PRAPARE tool.

Variation in spatial population structure in the species complex.

, , and are three of the most widespread vectors of malaria parasites, with geographical ranges stretching across wide swaths of Africa. Understanding the population structure of these closely related species, including the extent to which populations are connected by gene flow, is essential for understanding how vector control implemented in one location might indirectly affect vector populations in other locations. Here, we assessed the population structure of each species based on a combined data set of publicly available and newly processed whole-genome sequences.