Subjective Conditions Research Articles

The role of social capital of the Sanur Indigenous Community in the development of the heritage tourism industry on Sanur Beach in Bali, Indonesia

ABSTRACT The tourism industry and social capital are closely linked together, as social capital encompasses the belief and value systems, norms, networks, and solidarity principles of a society. However, there are limited studies on the role of indigenous social capital in supporting the heritage tourism sector, especially in Indonesia. To fill this gap, this study aims to investigate the role of the Sanur Indigenous Community's social capital in the development of heritage tourism on Sanur Beach. The research uses a qualitative descriptive to describe the studied object or subject's condition through credible informant interactions and their understanding of concepts. The study reveals that the Balinese tribal society has two social capital components, including the cognitive dimension in the form of Ngayah and structurally in the community's attachment to traditional institutions, such as Banjar Adat and Traditional Villages in the context of Tri Hita Karana. Although Sanur has transformed into a tourism center, its people still hold onto their traditional values, using social capital to manage and advance the village's tourism potential. The Traditional Village Owned Enterprise (TVOE) and the Sanur Beach Management Agency provide support to Sanur in integrating social, cultural, ecological, and economic aspects into tourism development.

Mixed Reality-Based Smart Occupational Therapy Personalized Protocol for Cerebellar Ataxic Patients.

Occupational therapy (OT) is an essential component of patient care, and it is especially beneficial if focused on meaningful activities. For ataxic patients, traditional procedures are currently the most efficient, although without specific guidelines and suggestions for virtual reality integration. In this context, this study proposes Hybrid Smart Rehabilitation (HSR) based on mixed reality (MR) as an aid in overcoming limitations of the traditional OT procedures. MR-HSR is designed specifically for ataxic patients and developed in Unity with the Holographic Remoting setting for run-time intervention on the scene. The subject reaches a book and grabs it with their hand inside a holographic guide with audio-visive feedback. Hand trajectories acquired from eight ataxic patients and eight healthy subjects were compared and new variables were analyzed to evaluate the performance. The Trust in Automation questionnaire was submitted to assess the opinion of the patients. Patients confirmed their trust in the developer and in the improvement that this system can bring to their rehabilitation. The "total time" and "sway area" of the trajectory were statistically significant and, together with the deviation of the trajectory from the main axis of the guide, although not statistically significant, made it possible to build a classifier. The patient-specific MR-HSR can be considered as an integrative tool for assessing the subject's condition by analyzing new quantitative variables which, if matched to the Scale for the Assessment and Rating of Ataxia (SARA), could be the basis of a new index to assess the progressiveness of ataxia.

Penetrating Barriers: Noncontact Measurement of Vital Bio Signs Using Radio Frequency Technology.

The noninvasive measurement and sensing of vital bio signs, such as respiration and cardiopulmonary parameters, has become an essential part of the evaluation of a patient's physiological condition. The demand for new technologies that facilitate remote and noninvasive techniques for such measurements continues to grow. While previous research has made strides in the continuous monitoring of vital bio signs using lasers, this paper introduces a novel technique for remote noncontact measurements based on radio frequencies. Unlike laser-based methods, this innovative approach offers the advantage of penetrating through walls and tissues, enabling the measurement of respiration and heart rate. Our method, diverging from traditional radar systems, introduces a unique sensing concept that enables the detection of micro-movements in all directions, including those parallel to the antenna surface. The main goal of this work is to present a novel, simple, and cost-effective measurement tool capable of indicating changes in a subject's condition. By leveraging the unique properties of radio frequencies, this technique allows for the noninvasive monitoring of vital bio signs without the need for physical contact or invasive procedures. Moreover, the ability to penetrate barriers such as walls and tissues opens new possibilities for remote monitoring in various settings, including home healthcare, hospital environments, and even search and rescue operations. In order to validate the effectiveness of this technique, a series of experiments were conducted using a prototype device. The results demonstrated the feasibility of accurately measuring respiration patterns and heart rate remotely, showcasing the potential for real-time monitoring of a patient's physiological parameters. Furthermore, the simplicity and low-cost nature of the proposed measurement tool make it accessible to a wide range of users, including healthcare professionals, caregivers, and individuals seeking to monitor their own health.

Membangun Self Love pada Remaja melalui Psikoedukasi

Forming an image of oneself, roles, interests, values, beliefs, and physical changes begins when entering adolescence. This generally makes teenagers vulnerable to low self-esteem due to a lack of self-love. To anticipate this, an effort is needed to build understanding among teenagers regarding self-love so that they can recognize and respect themselves through psychoeducation activities. This psychoeducation activity is carried out using three stages, namely the planning, implementation, and evaluation stages. The planning stage is carried out by surveying the subject's condition and location of the activity site and coordinating with related parties. The implementation stage of psychoeducation activities involves delivering material and cultivating understanding related to self-love. The evaluation stage is done by looking at the pre-test and post-test results. The subjects of this psychoeducational activity were 28 students at SMPN 2 Lemahabang, Cirebon Regency, aged 13-15 years. The instrument was a questionnaire, and psychoeducation activities were implemented for one month. The results of psychoeducation activities show that there is an increase in the understanding of teenagers at SMPN 2 Lemahabang regarding self-love.

Standard technical specifications for methacholine chloride (Methacholine) bronchial challenge test (2023)

Standard technical specifications for methacholine chloride (Methacholine) bronchial challenge test (2023)

Mathematical model for the prediction of high blood pressure through digital dermatoglyphics

Abstract Background Hypertension is considered not only a disease belonging to the large group of cardiovascular conditions, but also a risk factor that impacts at an economic, social, environmental, and cultural level, among others. Worldwide, it is recognized that arterial hypertension is increasing, with projections that estimate a 30% increase in prevalence by the year 2025. Objective. To develop a mathematical model for the prediction of high blood pressure in young people through digital dermatoglyphics. Methods This study was carried out in a sequence of three activities, which included in the first instance the collection and analysis of all the fingerprints of the upper limbs of each study participant with an image recognition device, to later carry out a characterization. in terms of number and type of footprint on each of the participants’ fingers. Subsequently, a multiple linear regression model was carried out for the right and left hand, which includes information on the type of footprint, number of relevant characteristics and other physical characteristics of everyone with which it is possible to determine an expected value of the pressure. diastolic and systolic arterial pressure, a model that was validated through the estimation of different types of error, the correlation coefficient, and the tracking signal, in a contrast between predicted and observed blood pressure in a second control sample with different participants. those used in the formulation of the mathematical model. Results The model had a significant R-square, allowing to establish a relationship of similarity and explanation of the blood pressure values, from the quantification of the characteristics of the fingerprints of the right and left hand with a significance level of 95%. Conclusions An important advance is presented for the prediction of high blood pressure through genetic markers with a non-invasive and low-cost method. Key messages • This type of research allows progress in the establishment of relationships between the subject's genetic conditions and the potential risk for the development of diseases. • Biotechnology is currently presented as a tool that contributes to the challenges that are generated in different areas such as the health sector.

Development of a Cloud-Based Image Processing Health Checkup System for Multi-Item Urine Analysis.

With the busy pace of modern life, an increasing number of people are afflicted by lifestyle diseases. Going directly to the hospital for medical checks is not only time-consuming but also costly. Fortunately, the emergence of rapid tests has alleviated this burden. Accurately interpreting test results is extremely important; misinterpreting the results of rapid tests could lead to delayed medical treatment. Given that URS-10 serve as a rapid test capable of detecting 10 distinct parameters in urine samples, the results of assessing these parameters can offer insights into the subject's physiological condition. These parameters encompass aspects such as metabolism, renal function, diabetes, urinary tract disorders, hemolytic diseases, and acid-base balance, among others. Although the operational procedure is straightforward, the variegated color changes exhibited in the outcomes of individual parameters render it challenging for lay users to deduce causal factors solely from color variations. Moreover, potential misinterpretations could arise due to visual discrepancies. In this study, we successfully developed a cloud-based health checkup system that can be used in an indoor environment. The system is used by placing a URS-10 test strip on a colorimetric board developed for this study, then using a smartphone application to take images which are uploaded to a server for cloud computing. Finally, the interpretation results are stored in the cloud and sent back to the smartphone to be checked by the user. Furthermore, to confirm whether the color calibration technology can eliminate color differences between different cameras, and also whether the colorimetric board and the urine test strips can perform color comparisons correctly in different light intensity environments, indoor environments that could simulate a specific light intensity were established for testing purposes. When comparing the experimental results to real test strips, only two groups failed to reach an identification success rate of 100%, and in both of these cases the success rate reached 95%. The experimental results confirmed that the system developed in this study was able to eliminate color differences between camera devices and could be used without special technical requirements or training.

Deciphering the human urine matrix: a new approach to simultaneously quantify the main ions and organic compounds by ion chromatography/mass spectrometry (IC-MS).

Analyzing the composition of (human) urine plays a major role in the fields of biology and medicine. Organic molecules (such as urea, creatine) and ions (such as chloride, sulfate) are the major compounds present in urine, the quantification of which allows for the diagnosis of a subject's health condition. Various analytical methods have been reported for studying urine components and validated on the basis of known and referenced compounds. The present work introduces a new method able to simultaneously determine both major organic molecules and ions contained in urine, by combining ion chromatography using a conductimetric detector with mass spectroscopy. The analysis of organic and ionized compounds (anionic and cationic) was achieved in double injections. For quantification, the standard addition method was used. Human urine samples were pre-treated (diluted and filtered) for IC-CD/MS analysis. The analytes were separated in 35 min. Calibration ranges (0-20 mg.L-1) and correlation coefficients (> 99.3%) as well as detection (LODs < 0.75 mg.L-1) and quantification (LOQs < 2.59 mg.L-1) limits were obtained for the main organic molecules (lactic, hippuric, citric, uric, oxalic acids, urea, creatine, and creatinine) and ions (chloride, sulfate, phosphate, sodium, ammonium, potassium, calcium, and magnesium) contained in urine. The intra- and inter-day accuracies of the analytes consistently ranged from 0.1 to 5.0%, and the precision was within 4.0%. For all analytes, no significant matrix effects were observed, and recoveries ranged from 94.9 to 102.6%. Finally, quantitative results of analytes were obtained from 10 different human urine samples.

Systematic review of the impact of physical activity on depression and anxiety symptoms

By 2020, depression is estimated to be the main cause of disability and the second leading contributor to the global burden of disease, affecting 340 million people worldwide [1]. Influence a person's thinking, actions, motivation, emotions, and well-being. Anhedonia is thought to be the primary symptom of depression, which refers to a loss of interest or pleasure in various activities that normally bring individuals happiness. Depression is a symptom of mood disorders, including major depressive disorder and dysthymia [2].&#x0D; This review aims to describe the scientific literature that has explored the influence and effect of physical activity on symptoms of depression.&#x0D; Using the electronic databases Scopus, Psycho-info, CINAHL, PubMed and ProQuest, Google Scholar, and Research Gate, I was able to locate publications on this issue using the following keywords: physical activity, physical effort, depression, depressive symptom, and anxiety.&#x0D; Physical activity is a significant role in reducing the symptoms of depression, anxiety, and stress, independent of the subject's age, gender, or medical condition, as demonstrated by the 17 studies included in this study.

The feasibility of skin mucus replacing exosome as a pool for bacteria-infected markers development via comparative proteomic screening in teleost

In fish, skin mucus forms a protective barrier between the body surface and the external water environment, thus providing the most direct and intuitive clues to monitor the subject's health condition. To explore the impact of the Vibrio harveyi pathogen on teleost, the proteome of epidermal mucus from control and sick Cynoglossus semilaevis were screened through iTRAQ followed with LC-MS/MS. 1531 credible proteins were obtained relating to structural, metabolic and immunological functions. 335 different expressed proteins (DEPs) were identified, with 166 up-regulated and 169 down-regulated in MS. 62 proteins were characterized, including 22 up-regulated proteins and 40 down-regulated proteins. Integrated analysis of DE-miRNAs and DEPs from miRomics and proteomics were conducted to show the indirect regulatory relationship. Comparative analysis of DEPs between mucus and exosomes demonstrated that exosomes contributed the most DEPs of all mucus DEPs. 125 proteins are DEPs only in exosomes, which presented minor difference in total mucus. Expression of Aminopeptidase (anpep), Calcium-transporting ATPase, Histone H2B and H2A confirmed implied fine discriminative power with infected C. semilaevis, among which Calcium-transporting ATPase and H2B also appeared in list of exosomal markers. This study might shed the light on effective biomarker digging at other extended screening scenarios.

Contrast-Enhanced Ultrasonography with Arrival Time Parametric Imaging as a Non-Invasive Diagnostic Tool for Liver Cirrhosis.

Liver biopsy is the gold standard method for staging liver fibrosis, but it is an invasive procedure that is associated with some complications. There are also non-invasive techniques for assessing liver fibrosis, such as elastography and biological tests, but these techniques can fail in detection or generate false measurements depending on the subject's condition. This study aimed to determine whether liver fibrosis can be evaluated using contrast-enhanced ultrasonography with arrival time parametric imaging using the ultrasound machine's parametric image software, the method being called (CEUS-PAT). CEUS-PAT was performed on each subject using SonoVue as a contrast agent, and images showing liver parenchyma and the right kidney on a single screen were used for analysis in parametric imaging, which was performed using the proprietary software of the ultrasound system. The ratio between the kidney and liver arrival times was calculated. The study included 64 predominantly male (56.3%) subjects, 37 cirrhotic patients, and 27 healthy volunteers, with a mean age of 58.98 ± 8.90 years. Significant differences were found between the liver cirrhosis and healthy groups regarding CEUS-PAT, 0.83 ± 0.09 vs. 0.49 ± 0.11, p &lt; 0.0001. The correlation between CEUS-PAT and VCTE was r = 0.81. The optimal cut-off value for detecting liver cirrhosis was &gt;0.7, with an AUC of 0.98, p &lt; 0.001, Se = 89.19%, Sp = 100%, PPV = 100%, and NPV = 87.1%. We demonstrate that CEUS-PAT achieves excellent performance in diagnosing liver cirrhosis and is a fast method for diagnosing liver cirrhosis that can even be applied in situations where the use of other methods is excluded.

Relationship Between the Periodontal Status of Pregnant Women and the Incidence and Severity of Pre-term and/or Low Birth Weight Deliveries: A Retrospective Observational Case-Control Study.

Literature worldwide has linked periodontitis to preterm births and/or low-birth-weight infants. However, to our knowledge, research on this topic is scarce in India. The United Nations Children's Fund (UNICEF) reports that South Asian nations, particularly India, have the highest rates of preterm births and low-birth-weight infants as well as periodontitis due to poor socioeconomic conditions. Overall, 70% of perinatal fatalities result from prematurity and/or low birth weight, which also increases the incidence of morbidity and drives up the cost of postpartum care by a factor of ten. The frequency and severity of the illness may be greater among the Indian population due to their poor socioeconomic status. To lower the mortality rate and the cost of postnatal care, it is necessary to investigate the impact and severity of the effect of periodontal conditions on pregnancy outcomes in India. Following the collection of obstetric and prenatal records from the hospital in compliance with inclusion and exclusion criteria, a sample of 150 pregnant women were chosen from public healthcare clinics for the research. Within three days of delivery following enrolment in the trial, a single physician recorded each subject's periodontal condition using the University of North Carolina-15 (UNC-15) probe under artificial lighting and the Russell periodontal index. The gestational age was calculated based on the latest menstrual cycle, and a medical professional would order an ultrasound if they felt it was essential. The doctor weighed the newborns soon after delivery and in accordance with this prenatal record. The acquired data was analyzed using a suitable statistical analysis technique. The severity of a pregnant woman's periodontal disease was significantly correlated with the infant's birth weight and gestational age. Preterm births and low-birth-weight infants became more prevalent as the severity of the periodontal disease rose. The results demonstrated that periodontal disease in pregnant women may increase the risk of preterm delivery and low birth weight in infants.

Hippocampus shape characterization with 3D Zernike transformation in clinical Alzheimer's disease progression.

Alzheimer's disease (AD) is a neurodegenerative disease and the most common cause of dementia among older adults. Mild cognitive impairment (MCI) is considered a transitional phase between healthy cognitive aging and dementia. Progressive brain volume reduction/atrophy, particularly of the hippocampus, is associated with the transition from normal to MCI, and then to AD. We aimed to develop methods to characterize the shape of hippocampus and explore its potential as an imaging marker to monitor clinical AD progression. We implemented a 3D Zernike transformation to characterize the shape changes of hippocampus in 428 older subjects with high-quality T1 -weighted volumetric brain scans from the Alzheimer's Disease Neuroimaging Initiative data set (151 normal, 258 MCI, and 19 AD). Over 2 years, 15 cognitively normal subjects converted to MCI, and 42 subjects with MCI converted to AD. We found a significant correlation between hippocampal volume changes and Zernike shape metrics. Before a clinical diagnosis of AD, the shapes of the left and right hippocampi changed slowly. After AD diagnosis, both volume and shape changed rapidly but were uncorrelated to each other. During the transition from a clinical diagnosis of MCI to AD, the shape of the left and right hippocampi changed in a correlated manner but became uncorrelated after AD diagnosis. Finally, the pace of hippocampus shape change was associated with its shape and the subject's age and disease condition. In conclusion, the hippocampus shape features characterized with 3D Zernike transformation, in complement to volume measures, may serve as a novel imaging marker to monitor clinical AD progression.

APPLICATION OF WET CUPPERATION TO REDUCE THE SCALE OF SHOULDER PAIN IN MYALGIA TRAPEZIUS PATIENTS

Background : Muscle pain or it can also be called myalgia is one of many disorders and diseases in the body. In general, myalgia is caused by misuse of muscles or muscles that are too tense. Several nursing action therapies for joint pain management using non-pharmacological therapy, one of which is Cupping Therapy, Research Objectives: The results of the application of the wet cupping technique to reduce the pain scale in the shoulder with Trapezius Myalgia in the work area of the Sidorejo Health Center 2022., Research Methods: The Type of This research is descriptive by using the case method. The study was conducted in April 2022. The subjects in this case study were two clients with a diagnosis of Trapezius Myalgia who met the inclusion and exclusion criteria. Research Results: After cupping therapy was performed for 1 time in 2 weeks, the results showed that the pain scale in the subjects decreased in Subject I from pain scale 5 (moderate pain) to pain scale 2 (mild pain) and in subject II there was a decrease in pain scale from pain scale 6 (moderate pain) to pain scale 3 (mild pain). Conclusion: The implementation of cupping therapy can reduce the pain scale in patients with Trapezius myalgia according to the subject's condition and lifestyle factors in each subject in the working area of the Sidorejo Health Center, Lubuklinggau City.

226. Surgical treatment of refractory low back pain using implanted BurstDR spinal cord stimulation (SCS) in a cohort of patients without options for corrective surgery: findings and results from the DISTINCT study, a prospective randomized multi-center controlled trial

226. Surgical treatment of refractory low back pain using implanted BurstDR spinal cord stimulation (SCS) in a cohort of patients without options for corrective surgery: findings and results from the DISTINCT study, a prospective randomized multi-center controlled trial

Dynamic Characteristics of State Transitions Composed of Neural Activity in the Brain by Circadian Rhythms.

In recent years, as a treatment for mental disorders in addition to drug treatment, a non-drug treatment called chronotherapy has been attracting attention. However, the achievement of optimized chronotherapy for each subject's condition requires that the disturbance of the patient's circadian rhythm must be captured over a long duration. Therefore, it is necessary to develop biomarkers that are easy to measure, quantitative, and continuously measured. Complexity analysis of electroencephalograms revealed specific patterns related to circadian rhythms. However, such complexity analysis cannot capture variability in spatial patterns, although moment-to-moment temporal dynamic characteristics can be captured. Therefore, it is necessary to evaluate the dynamic characteristics of the interaction of neural activity throughout the brain. To evaluate the dynamic whole-brain interaction, we proposed a new microstate approach based on the instantaneous frequency distribution. In this context, we hypothesized that it would be possible to detect circadian rhythms using the microstate approach. In this study, to clarify the dynamic interactions of the entire neural network of the brain by circadian rhythms, we measured EEG data at day and night, and detected dynamic state transitions based on the instantaneous frequency distribution of the whole brain from EEG. The results showed the probability of transition among region-specific phase-leading states related to circadian rhythms. This finding might be widely utilized to detect circadian rhythms in healthy and pathological conditions.

Discussion on Protein Metabolism and Requirement of Aerobics Athletes during Training Based on Multisensor Data Fusion.

Competitive aerobics has emerged as a highly competitive sport beyond its own physical limit. Modern competitive aerobics competition is very fierce; athletes cannot only rely on a specific competitive skill to achieve good results. Protein is the physical basis of life activity. The life activity of human body is closely related to protein, and protein is closely related to human exercise ability. This article aims to study protein metabolism and demand of aerobics athletes during training based on multisensor data fusion. A total of 26 female aerobics athletes were randomly divided into two groups: exercise group and exercise + nutrition group. According to the characteristics of human motion, a comprehensive measurement acquisition sensor system for collecting human motion information is designed and implemented, and the system is used to monitor the subject's protein condition in real time. The subjects took protein nutrient solution before breakfast every day. The dynamic recognition algorithm designed in this paper also has shortcomings, and the monitoring protein method based on gait and other signs is not completely correct. The experiment lasted for 7 weeks. The results showed that the level of serum transferrin receptor decreased significantly in the quiet + nutrition group for 4 weeks, which was significantly different from that at 0 and 3 weeks in the same group (P < 0.01) and was significantly different from that in the same group at 7 weeks (P < 0.05). In the exercise group, the level of serum transferrin receptor increased significantly at 5 weeks, compared with the same group at 0 and 3 weeks (P < 0.05).

Performance Improvement of EEG-Based BCI Using Visual Feedback Based on Evaluation Scores Calculated by a Computer.

In the study of an electroencephalography (EEG)-based brain computer interface (BCI) using the P300, there have been many reports on computer algorithms that identify the target intended by a user from multiple candidates. However, because the P300 amplitude depends on the subject's condition and is attenuated by physical and mental factors, such as fatigue and motivation, the performance of the BCI is low. Therefore, we aim to improve performance by introducing a feedback mechanism that provides the user with an evaluation calculated by the computer during EEG measurement. In this study, we conducted an experiment in which the user input one character from four characters on the display. By changing the character size according to the evaluation score calculated by the computer, the computer's current evaluation was fed back to the user. This is expected to change the consciousness of the user to enable them to execute a task by knowing the evaluation; that is, if the evaluation is high, the user needs to maintain the current state, and if the evaluation is low, a behavioral change, such as increasing attention, is required to improve the evaluation.As a result of comparing 10 subjects with and without feedback, accuracy improved for seven subjects that were given feedback.

Analysis of EEG Data Using Complex Geometric Structurization.

Electroencephalogram (EEG) is a common tool used to understand brain activities. The data are typically obtained by placing electrodes at the surface of the scalp and recording the oscillations of currents passing through the electrodes. These oscillations can sometimes lead to various interpretations, depending on, for example, the subject's health condition, the experiment carried out, the sensitivity of the tools used, or human manipulations. The data obtained over time can be considered a time series. There is evidence in the literature that epilepsy EEG data may be chaotic. Either way, the Embedding Theory in dynamical systems suggests that time series from a complex system could be used to reconstruct its phase space under proper conditions. In this letter, we propose an analysis of epilepsy EEG time series data based on a novel approach dubbed complex geometric structurization. Complex geometric structurization stems from the construction of strange attractors using Embedding Theory from dynamical systems. The complex geometric structures are themselves obtained using a geometry tool, the α-shapes from shape analysis. Initial analyses show a proof of concept in that these complex structures capture the expected changes brain in lobes under consideration. Further, a deeper analysis suggests that these complex structures can be used as biomarkers for seizure changes.

Muscles Affecting Minimum Toe Clearance.

The aim of this study was to investigate how the anterior and posterior muscles in the shank (Tibialis Anterior, Gastrocnemius Lateralis and Medialis), influence the level of minimum toe clearance (MTC). With aging, MTC deteriorates thus, greatly increasing the probability of falling or tripping. This could result in injury or even death. For this study, muscle activity retention taping (MART) was used on young adults, which is an accepted method of simulating a poor MTC—found in elderly gait. The subject's muscle activation was measured using surface electromyography (SEMG), and the kinematic parameters (MTC, knee and ankle joint angles) were measured using an optical motion capture system. Our results indicate that MART produces significant reductions in MTC (P < α), knee flexion (P < α) and ankle dorsiflexion (P < α), as expected. However, the muscle activity increased significantly, contrary to the expected result (elderly individuals should have lower muscle activity). This was due to the subject's muscle conditions (healthy and strong), hence the muscles worked harder to counteract the external restriction. Yet, the significant change in muscle activity (due to MART) proves that the shank muscles do play an important role in determining the level of MTC. The Tibialis Anterior had the highest overall muscle activation, making it the primary muscle active during the swing phase. With aging, the shank muscles (specifically the Tibialis Anterior) would weaken and stiffen, coupled with a reduced joint range of motion. Thus, ankle-drop would increase—leading to a reduction in MTC.