Dynamic Balance Research Articles

Measuring the dynamic balance of integration and segregation underlying consciousness, anesthesia, and sleep in humans

Consciousness requires a dynamic balance of integration and segregation in brain networks. We report an fMRI-based metric, the integration-segregation difference (ISD), which captures two key network properties: network efficiency (integration) and clustering (segregation). With this metric, we quantify brain state transitions from conscious wakefulness to unresponsiveness induced by the anesthetic propofol. The observed changes in ISD suggest a profound shift towards the segregation of brain networks during anesthesia. A common unimodal-transmodal sequence of disintegration and reintegration occurs in brain networks during, respectively, loss and return of responsiveness. Machine learning models using integration and segregation data accurately identify awake vs. unresponsive states and their transitions. Metastability (dynamic recurrence of non-equilibrium transient states) is more effectively explained by integration, while complexity (diversity of neural activity) is more closely linked with segregation. A parallel analysis of sleep states produces similar findings. Our results demonstrate that the ISD reliably indexes states of consciousness.

Five definitions of adsorption and their relevance to the formulation of dynamic mass balances in gas adsorption columns

Numerous dynamic mass balances in the literature that describe the adsorption of gases in a column are written in terms of actual or absolute adsorption, while unwittingly and incorrectly utilizing excess adsorption isotherms. Perhaps this is because the actual and absolute adsorption isotherms cannot be experimentally measured nor predicted without making uncertain assumptions. The objective here was to derive unambiguous relationships between actual, absolute, excess, net and column amounts adsorbed that provide a straightforward understanding of the subtle differences between these quantities and that provide a simple means for incorporating them into dynamic mass balances. For this purpose, the actual, absolute, excess, net and column amounts adsorbed (loadings) were clearly defined, along with various volumes, porosities and densities that exist inside and outside an adsorbent contained in a column with a gaseous adsorbate. These adsorption definitions and quantities were used to derive four interconversion relationships for each type of adsorption in terms of the actual loading. The resulting expressions, based on intensive properties, can be used to relate any adsorption definition to any other adsorption definition. These relationships were also used to derive five dynamic mass balances, one for each type of adsorption. The similarities and differences in the terms between each of these five dynamic mass balances were discussed, along with their applicability to real world problems. In some cases at low pressure where the isotherms do not differ appreciably, it may be approximately correct to use excess or net adsorption isotherms in a dynamic mass balance written in terms of actual or absolute adsorption. However, the extent of the incorrectness is unknown due to mass transfer effects. So, it is recommended to use the dynamic mass balance with its specific type of adsorption, most likely excess adsorption. Then, when certain assumptions are made about the adsorbing and non-adsorbing void fractions, these expressions can be readily used in adsorption process simulation.

Changes in Motor Strategy and Neuromuscular Control During Balance Tasks in People with a Bimalleolar Ankle Fracture: A Preliminary and Exploratory Study.

Ankle fractures can lead to issues such as limited dorsiflexion, strength deficits, swelling, stiffness, balance disorders, and functional limitations, which complicate daily activities. This study aimed to describe neuromuscular adaptations at 6 and 12 months post-surgery during static and dynamic balance tasks, specifically using the Y-Balance Test (YBT). Additionally, the relationship between neuromuscular patterns, balance, and musculoskeletal deficits was evaluated. In 21 participants (14 at 6 months and 21 at 12 months) with bimalleolar fractures, hip strength, ankle dorsiflexion, ankle functionality, and static and dynamic balance were assessed using electromyography of five lower limb muscles (tibialis anterior, peroneus longus, lateral gastrocnemius, biceps femoris, and gluteus medius). A significant interaction effect (limb × proximal [hip]-distal [ankle] muscle) (F = 30.806, p < 0.001) was observed in the anterior direction of the Y-Balance Test (YBTA) at 6 months post-surgery. During the YBTA and YBT posteromedial (YBTPM), it was found that a lower dorsiflexion range of movement was associated specifically at 6 months with greater activation of the lateral gastrocnemius. However, these differences tended to diminish by 12 months. These findings suggest that neuromuscular patterns differ between operated and non-operated limbs during the YBTA at 6 months post-surgery. The Y-Balance Test, particularly its anterior direction, effectively highlighted these neuromuscular changes. This is a preliminary study; further research is needed to explore these findings in depth.

The Effect of Velocity-Based Training on Some Performance Parameters in Football Players

The aim of the study was to investigate the effects of velocity-based (VBT) and traditional strength training (TST) methods on vertical jump, dynamic balance, agility, 10 m acceleration and 20 m sprint performances. Twelve volunteer men randomly divided into two groups participated in the study. After 1 Repetition Maximum (1RM) was determined, the TST group performed 3 sets of 10 repetitions with 40-60% of their maximum weight, while the VBT group performed 3 sets of strength training at a velocity range of 0.75-1.0 m/s for 6 weeks, 2 days a week. In the VBT group, a significant difference was found between 55.16±6.17 cm in the pre-test and 59.16±4.99 cm in the post-test of vertical jump and 4.05±0.27 in the pre-test and 1.72±0.27 in the post-test of balance (p&amp;lt;0.05). There was a significant difference between 48.33±3.98 cm in the pre-test and 53.66±4.03 cm in the post-test; between 4.29±0.29 in the pre-test and 3.65±0.48 in the post-test. Optimising the speed while lifting load in VBT enables athletes to react faster to sudden position changes by improving dynamic balance. Although 6 weeks of VBT training increased vertical jump, the difference was not statistically significant, which may be due to sample size, training duration or individual differences. As a result, the increase in vertical jump and balance in both strength training exercises can be explained by the fact that squat exercise activates the quadriceps muscles by activating the knee joint and increases leg strength, endurance and knee stabilisation.

Development of Machine Learning-Based Production Forecasting for Offshore Gas Fields Using a Dynamic Material Balance Equation

Offshore oil and gas fields pose significant challenges due to their lower accessibility compared to onshore fields. To enhance operational efficiency in these deep-sea environments, it is essential to design optimal fluid production conditions that ensure equipment durability and flow safety. This study aims to develop a smart operational solution that integrates data from three offshore gas fields with a dynamic material balance equation (DMBE) method. By combining the material balance equation and inflow performance relation (IPR), we establish a reservoir flow analysis model linked to an AI-trained production pipe and subsea pipeline flow analysis model. We simulate time-dependent changes in reservoir production capacity using DMBE and IPR. Additionally, we utilize SLB’s PIPESIM software to create a vertical flow performance (VFP) table under various conditions. Machine learning techniques train this VFP table to analyze pipeline flow characteristics and parameter correlations, ultimately developing a model to predict bottomhole pressure (BHP) for specific production conditions. Our research employs three methods to select the deep learning model, ultimately opting for a multilayer perceptron (MLP) combined with regression. The trained model’s predictions show an average error rate of within 1.5% when compared with existing commercial simulators, demonstrating high accuracy. This research is expected to enable efficient production management and risk forecasting for each well, thus increasing revenue, minimizing operational costs, and contributing to stable plant operations and predictive maintenance of equipment.

Simulation of water-salt transport and balance in cultivated-wasteland system based on SWAP model in Hetao Irrigation District of China

Water and salt transport among different use type land is important to irrigation management in arid area. In this study, a typical irrigation unit including cultivated land and wasteland in Hetao Irrigation District of China was selected to explore water and salt transport between cultivated land and wasteland system. Soil water-salt dynamics, groundwater depth and salinity were observed within the period of crop growing and autumn irrigation period in 2018 and 2019. Calibrated SWAP model was used to simulate water and salt flux of cultivated land and wasteland during the crop growing period and autumn irrigation period. Furthermore, water-salt transport exchange capacity was calculated between cultivated land and wasteland system in study area. Groundwater was recharged by soil water and soil salt was leached in cultivated land during the crop growing period. Soil water was recharged by groundwater and soil salt was accumulated in saline wasteland during the crop growing period. During the crop growing period, the total leaching of soil salinity was 15.64 t·ha−1 in cultivated land. Soil salt accumulation was 2.03 t·ha−1 in saline wasteland. During the autumn irrigation period, the total leaching of soil salinity was 14.93 t·ha−1 in cultivated land. Total leaching of soil salinity was 1.56 t·ha−1 in saline wasteland. Overall, saline wasteland had an important role to receive salt from cultivated land and maintain salt dynamic balance in arid irrigation area with shallow groundwater.

Role of NEL‑like molecule‑1 in osteogenesis/chondrogenesis (Review).

A dynamic balance exists between osteogenesis and osteoclastogenesis in bone tissue, which can lead to several bone diseases, such as osteoporosis, osteoarthritis, bone necrosis and bone defects, in cases of insufficient osteogenesis or excessive osteoclastogenesis. NEL‑like molecule‑1 (NELL‑1) was first discovered in 1999 as an osteogenic factor that can prevent or treat bone diseases by increasing osteogenic levels. To date, research has identified multiple signaling pathways involved in improving osteogenic levels. Furthermore, to apply NELL‑1 in clinical practice, researchers have optimized its osteogenic effect by combining it with other molecules, changing its molecular structure and performing bone tissue engineering. Currently, research on NELL‑1 is gaining increasing attention. In the near future, it will definitely be applied in clinical practice to eliminate diseases. Thus, the present study provides a comprehensive review of NELL‑1 in enhancing osteogenic levels from the perspectives of the molecular mechanism, interactions with other molecules/cells, molecular‑level changes, applications in bone tissue engineering and its expression in tumors, providing a solid theoretical basis for its clinical application.

The Effect of Reactive Neuromuscular Training versus General Warm-up on Proprioception and Balance in Female Handball Players with Rounded Shoulder: A Controlled Laboratory Study

Background: This study aimed to compare the immediate effects of a session of reactive neuromuscular training (RNT) with warming-up exercises on shoulder proprioception and dynamic balance in female handball players with shoulder impingement. Methods: In this controlled laboratory study, 18 female adolescent handball players from 14 to 18 years old were recruited from Samen City, Iran. The participants participated once in the warm-up routine program and once in the RNT program. Before and after each exercise program, shoulder proprioception was measured by photogrammetry and dynamic balance of the upper limb was measured using the Wye balance test. The paired t-tests, with a significance level of 0.05, were employed to compare pre-test and post-test data. Results: Both exercise protocols had no significant effects on shoulder repositioning error (P &gt; 0.05). However, participation in both exercise programs resulted in a significant improvement in the dynamic balance score of the upper limbs of the athletes (P &lt; 0.001). Moreover, no significant differences were observed between the effect of routine handball exercises and the effect of RNT exercises on shoulder repositioning and dynamic balance in female handball players (P &gt; 0.05). Conclusion: It seems that routine warm-up exercises and RNT could not improve proprioception in the shoulders of student- athletes with round shoulders. However, both training methods caused a significant improvement in the dynamic balance of the upper limb, although there was no significant difference between the effects of the two methods.

Advancing SWAT Model Calibration: A U-NSGA-III-Based Framework for Multi-Objective Optimization

In recent years, remote sensing data have revealed considerable potential in unraveling crucial information regarding water balance dynamics due to their unique spatiotemporal distribution characteristics, thereby advancing multi-objective optimization algorithms in hydrological model parameter calibration. However, existing optimization frameworks based on the Soil and Water Assessment Tool (SWAT) primarily focus on single-objective or multiple-objective (i.e., two or three objective functions), lacking an open, efficient, and flexible framework to integrate many-objective (i.e., four or more objective functions) optimization algorithms to satisfy the growing demands of complex hydrological systems. This study addresses this gap by designing and implementing a multi-objective optimization framework, Py-SWAT-U-NSGA-III, which integrates the Unified Non-dominated Sorting Genetic Algorithm III (U-NSGA-III). Built on the SWAT model, this framework supports a broad range of optimization problems, from single- to many-objective. Developed within a Python environment, the SWAT model modules are integrated with the Pymoo library to construct a U-NSGA-III algorithm-based optimization framework. This framework accommodates various calibration schemes, including multi-site, multi-variable, and multi-objective functions. Additionally, it incorporates sensitivity analysis and post-processing modules to shed insights into model behavior and evaluate optimization results. The framework supports multi-core parallel processing to enhance efficiency. The framework was tested in the Meijiang River Basin in southern China, using daily streamflow data and Penman–Monteith–Leuning Version 2 (PML-V2(China)) remote sensing evapotranspiration (ET) data for sensitivity analysis and parallel efficiency evaluation. Three case studies demonstrated its effectiveness in optimizing complex hydrological models, with multi-core processing achieving a speedup of up to 8.95 despite I/O bottlenecks. Py-SWAT-U-NSGA-III provides an open, efficient, and flexible tool for the hydrological community that strives to facilitate the application and advancement of multi-objective optimization in hydrological modeling.

The Effect of Competition Sounds on Balance Performance in Football Players

Abstract Objective This study aimed to investigate the impact of competition environment sounds on the static and dynamic balance of football players. Materials and Methods Thirty-two football players with a mean age of 21.12±2.99 years and a body mass index of 21.98±2.58 kg/m² were included in this study. The initial assessment condition (whether in a quiet environment or with competition sounds) was determined by simple randomization. Forty-eight hours later, at the same time of day, the tests were repeated with the environmental conditions reversed. Balance performance was assessed using the Tecnobody device for both static and dynamic balance. Results In the static balance test, it was found that the surface area covered significantly decreased in the environment where competition sounds were played (p=0.014), while there was no significant change in overall sway (p=0.313), anteroposterior sway (p=0.852), or mediolateral sway (p=0.104). In the dynamic balance test, no significant change was observed in anteroposterior sway (p=0.411), but mediolateral sway (p=0.025) and overall sway (p=0.042) significantly decreased. Additionally, there was a significant improvement in the athletes’ score for reaching the target (p=0.003). The perceived difficulty levels during the tests were found to be significantly lower in both the static (p=0.048) and dynamic (p=0.001) balance tests in the environment where competition sounds were played. Conclusion In conclusion, competition environment sounds were found to positively affect the balance performance of football players and reduce the perceived difficulty level. Incorporating balance training with competition sounds during athlete rehabilitation may contribute to improved balance recovery.

A Novel Low-Impact Resistance Exercise Program Increases Strength and Balance in Females Irrespective of Menopause Status.

The reduction in sex hormone production across the menopause transition is thought to accelerate age-related decline in muscle mass, strength, and stability, increasing the risk of falls and fractures. We aimed to investigate whether a novel low-impact resistance exercise program could improve strength, balance, and body composition and whether any improvement was affected by menopause status. Seventy healthy, moderately active pre- (PRE; 46.7 ± (SD) 3.2 years), peri- (PERI; 52.3 ± 2.2 years) or post- (POST; 57.0 ± 2.5 years) menopausal females, not taking hormone replacement therapy (HRT), were randomised to continue habitual physical activity (CON; n = 25) or complete a supervised resistance exercise program 4 days/week for 12 weeks (EXC; n = 45). Strength at the hip and shoulder (isokinetic dynamometer), dynamic balance (Y-balance), flexibility (sit-and-reach & back-scratch), muscle thickness (rectus femoris, vastus intermedius (VI) and medial deltoid), and lean and %body fat (dual-energy X-ray absorptiometry) were measured before and after training. Results: Hip abduction and flexion peak torque (19 ± 48 and 20 ± 17%, respectively, P < 0.05), posterolateral and posteromedial balance (12 ± 15 and 13 ± 15%, respectively, P < 0.001), flexibility (21 ± 36%, P < 0.001), VI thickness (12 ± 19%, P = 0.032), lean mass (2 ± 2%, P = 0.007), all increased over 12 weeks in EXC, but not CON, with no difference in response between PRE, PERI or POST. The changes in shoulder strength and body mass over 12 weeks were not different between CON and EXC. This is the first study to demonstrate that the decline in sex hormones, and increase in age, across the menopause transition does not affect the ability of lower limb (hip) strength and balance to adapt to a low-impact resistance exercise training program in females not taking HRT.

Uncovering Holistic Contemporary Paradigms and Hamemayu Hayuning Bawana to Realise Sustainable Development Goals

Objective: This research aims to: (1) understand the historical development of Holistic Contemporary Worldview (CHW) and Kejawen Philosophy (Hamemayu Hayuning Bawana/HHB); (2) explore the correlation between CHW and HHB; (3) compare the axiology of HHB and CHW to better understand the path to achieving sustainable development goals; and (4) identify opportunities for maintaining sustainability through the perspectives of CHW and HHB. Theoretical Framework: The Earth is currently facing unsustainable changes, which are evident in climate change and the increasing frequency of disasters. These problems are believed to stem from reductionist-mechanist thinking, which fosters an anthropocentric attitude. In contrast, holistic thinking offers a new perspective on nature, seeing it as an interconnected whole where each component supports the others to maintain prosperity and balance. This idea is in line with the Javanese philosophy of life, HHB, which emphasizes harmony between humans and nature to enhance the beauty of life. Both concepts highlight the need for fundamental changes in the way humans interact with each other and nature to support the achievement of Sustainability especially the implementation of the Sustainable Development Golas (SDGs). Method: This descriptive qualitative research uses a literature study technique that is conducted in three stages. First, a literature study on the historical development of human views on nature, both from the Western view (CHW) and the Eastern view, especially Java (Kejawen-HHB). These historical developments are presented in the form of narratives to provide a clear picture of events and context, thus helping in understanding each philosophy. The second stage reviews these narratives to identify the core similarities and differences between the two approaches. Finally, the third stage analyses these comparisons to find clues about new approaches to sustainability, especially attitudinal changes to support the achievement of sustainable development goals Results and Discussion: This research shows that the concepts of CHW and HHB are two concepts that emerged from two different regions and times but have the same philosophical line. Both understand that all components of nature need to coexist and respect each other psychologically and even spiritually. This change in attitude is necessary to avoid the evil nature of humans (greed and arrogance) in fulfilling their needs in the form of development. The goal of sustainable development should be utilized for the benefit of the many and the broad (inclusive), which is the core concept of deep ecological understanding (Ecosophy of CHW) and needs to be supported by the concept of roso (spiritual culture of HHB). Both approaches have significant similarities and differences in some aspects but share the common goal of maintaining a dynamic balance to sustain living systems. Research Implications: The findings of this research are expected to contribute to a new perspective on how to achieve sustainability. The old approach based on classical mechanics is still relevant and useful to support the achievement of the SGDs, but the complexity of the world demands a change in behaviour in treating the universe and development. CHW and HHB provide new clues on how to achieve this. Originality/Value: This study compares and correlates two approaches from distinct origins: one rooted in the logic-driven Western culture and the other in the spiritual-based Eastern tradition. These approaches also emerged in different eras: one in the modern, complex age, and the other in the mythology-based ancient kingdom. By examining this correlation, the study underscores the importance of regulating thoughts and behaviors to ensure the continuity of life, particularly within the complexities of modern civilization.

The Influence of Mental Fatigue on Physical Performance and Its Relationship with Rating Perceived Effort and Enjoyment in Older Adults

ABSTRACT The study investigated the influence of mental fatigue on older people’s enjoyment during a series of physical exercises. Using a randomized cross-over design, participants (n = 35) completed a 6-minute walking test − 6MWT, a Timed Up and Go—TUG test and three sets of knee extension exercise (first set: KE1, second set: KE2, third set: KE3) under two experimental conditions (control or mental fatigue). The Nonparametric Analysis of Longitudinal Data in Factorial Experiments was used to compare the number of repetitions performed during three sets of resistance exercise between conditions. The same analysis method was applied to compare the perception of effort and enjoyment across five moments (Post-6MWT, Post-TUG, Post-KE1, Post-KE2, Post-KE3) and two conditions and the Visual Analogue Scales (VAS) across four moments (baseline, Pre-6MWT, Pre-TUG, Pre-KE) and two conditions. Mental fatigue did not affect the physical function, perception of effort and enjoyment of exercise in older people. Participants, however, reported higher enjoyment for walking and dynamic balance compared to strength exercise. Mental fatigue had no effect on the physical function, perception of effort and enjoyment of exercise of older people. Participants presented a higher enjoyment for walking and dynamic balance compared to strength exercise. Given the importance of resistance exercises for health, clinicians should prioritize resources to education programs emphasizing the benefits of resistance exercise in both short- and long-term health. Including social interaction opportunities in physical exercise programs and prescribing activities appropriate to participants’ ability levels could enhance engagement and adherence.

Stroke impairs the proactive control of dynamic balance during predictable treadmill accelerations.

We maintain balance during gait using both proactive and reactive control strategies. Damage to the brain from a stroke impairs reactive balance, but little is known about how a stroke impacts proactive control during walking. Identifying stroke-related impairments to proactive control could inform the design of interventions to improve balance and reduce fall risk. Therefore, we determined if people with and without stroke differ in their ability to use proactive strategies during predictable treadmill accelerations. Groups of 14 adults with and without stroke walked with single-belt accelerations at random (every one to five strides) and regular (every three strides) intervals. We quantified the effects of the perturbations as changes to center of mass (COM) speed and used mechanical leg work to quantify the proactive strategies to slow the COM. Participants without stroke reduced peak COM speed better than those with stroke when perturbations were at regular intervals (-0.023 versus -0.001 m/s; p=0.007). They also reduced positive leg work more during the perturbation step than the group post-stroke (-7.7% versus -1.9%; p=0.004). Together, these results demonstrate that the sensorimotor impairments resulting from a stroke impair the ability to generate effective proactive adjustments to reduce the destabilizing effects of predictable perturbations.

Motor delay image recognition based on deep learning and human skeleton model

Children with developmental delays often exhibit gross motor delay during their early childhood. Identifying such delay typically requires standardized assessments, but these assessments are susceptible to subjective interpretation. To enhance objectivity and reliability in these assessments, this study proposes a novel method utilizing an AI model for identifying gross motor delay in children. The proposed method divides the assessment of gross motor skills into two components: static balance and dynamic balance. First, the Yolo target detection model and the Mediapipe human posture detection model are employed for preprocessing to determine skeletal joints and body positioning information. Subsequently, dimensionality reduction techniques are applied to extract key features. A sliding window method is then used to extract action features identifying static balance features of the human body (e.g., standing on one foot, standing on the left foot) and dynamic balance features (e.g., lifting the heels while walking, jumping on a mat). The machine learning classifier and LSTM-CNN are then used to categorize the static and dynamic balance feature data. Experimental results demonstrate that the proposed method achieved accuracy scores of 80 % and 87 % for static and dynamic balancing skills, respectively.

Influence of Deep Abdominal Flexor Muscle Recruitment on Dynamic Balance and Gait Speed in Middle-Aged Tailors

Influence of Deep Abdominal Flexor Muscle Recruitment on Dynamic Balance and Gait Speed in Middle-Aged Tailors

T-2 Toxin Induces Immunosenescence in RAW264.7 Macrophages by Activating the HIF-1α/cGAS-STING Pathway.

T-2 toxin induces cell immunotoxicity by triggering an intracellular hypoxic microenvironment and activates hypoxia-inducible factor-1α (HIF-1α), which exerts cellular protective effects. Mycotoxins can also induce senescence. The aging of immune function, termed "immunosenescence," is an important factor in the decline of biological immunity and accelerates senescence. However, the mechanism underlying T-2 toxin-induced immunosenescence remains unclear. This study aimed to elucidate the roles of HIF-1α and cGAS-STING signaling in this process and uncover the mechanisms through which T-2 toxin impacts cytoskeletal integrity and cellular senescence using a RAW264.7 macrophage model. The cells were treated with T-2 toxin (14 nM) for 1-24 h. We revealed that T-2 toxin-induced immunosenescence in RAW264.7 cells by activating the HIF-1α/cGAS-STING axis. The cGAS-STING pathway promotes cell senescence and apoptosis; however, we revealed that HIF-1α negatively regulated this pathway, thereby inhibiting cellular senescence and apoptosis. However, PARP 1 cleavage by caspase 3/9 inhibited DNA repair and accelerated the transition from senescence to apoptosis. At the late stages of T-2 toxin exposure (12 h), HIF-1α accelerated cellular senescence by disrupting the dynamic balance of cytoskeletal α-tubulin and F-actin and destabilizing the cytoskeletal structure. Our research demonstrates that T-2 toxin induces immunosenescence in RAW264.7 cells by activating the cGAS-STING pathway, with HIF-1α signaling serving as a negative regulator. This study provides a deeper understanding of T-2 toxin-induced immunosenescence.

Investigating the influence of Bowen technique with retro-walking on hamstring flexibility and dynamic balance in young college-going students

Abstract: BACKGROUND: Hamstring tightness is a common issue affecting individuals, leading to discomfort, pain, and increased risk of injury. The Bowen technique, a gentle myofascial release technique, and retro-walking have been suggested as potential interventions to improve hamstring flexibility and dynamic balance. This study aimed to assess the impact of combining the Bowen technique with retro-walking on hamstring flexibility and dynamic balance in college students. METHODOLOGY: A pre–post-experimental study was conducted among 50 college students aged 17–25 years. Participants were randomly allocated to either the experimental group (n = 25) receiving Bowen technique and retro-walking intervention or the control group (n = 25). Hamstring flexibility was assessed using the active knee extension test, and dynamic balance was evaluated using the Y-Balance test. The data were analyzed using paired and unpaired t-tests. RESULTS: Intragroup analysis revealed significant improvements in hamstring flexibility and dynamic balance posttreatment in the experimental group (P &lt; 0.05), with no significant changes observed in the control group (P &gt; 0.05). Intergroup analysis demonstrated statistically significant improvements in hamstring flexibility (P &lt; 0.05) and dynamic balance (P &lt; 0.05) between the experimental and control groups postintervention. DISCUSSION: The results indicate that the combination of the Bowen technique and retro-walking effectively improves hamstring flexibility and dynamic balance in college students. The Bowen technique likely enhances muscle extensibility and tissue repair, while retro-walking optimizes muscle length utilization and proprioception. These findings underscore the potential utility of these interventions in clinical practice for managing hamstring tightness and improving overall musculoskeletal health. CONCLUSION: The integration of the Bowen technique with retro-walking holds promise as a noninvasive and effective approach to enhance hamstring flexibility and dynamic balance in college students.

A solution for the automatic detection of expansion joints in dam stilling pools using underwater robots

This research addresses the critical challenges of detecting and measuring underwater concrete structure expansion joints (CSEJ), with a particular focus on dam stilling basin environments. A full set of algorithms for detecting expansion joints with underwater robots is presented by the research, enabling real-time and offline analysis along with visualization. These algorithms introduce the use of Convolutional Neural Networks (CNNs) for image feature extraction and segmentation in CSEJ detection, significantly improving accuracy and adaptability over traditional methods. An automated approach known as the Underwater Dam Crack Detection Network (UDCD Network) was introduced by this research. And advanced attention gates and hybrid dilated convolutions to enhance its detection capabilities are incorporated in this system. Additionally, a three-phase deep transfer learning strategy during training was utilized in this research, which significantly improves the model's performance. The research suggests an underwater image restoration algorithm that uses a dark channel prior and dynamic white balance correction to improve image clarity. Furthermore, unique underwater environmental challenges were tackled by this research, such as non-contact measurement of expansion joint widths using a view-geometry-based algorithm and comprehensive detection of dam wall surfaces. Experimental validation demonstrates that the advanced imaging technologies of the proposed underwater robots hold significant potential for autonomous detection of expansion joints in dam stilling basins.

A recombinant fragment antigen-binding (Fab) of trastuzumab displays low cytotoxic profile in adult human cardiomyocytes: first evidence and the key implication of FcγRIIA receptor.

Fragment crystallizable gamma receptors (FcγRs) mediate various cellular responses with significant cardiovascular implications. They contribute to the anticancer activity of trastuzumab (TRZ), a recombinant humanized monoclonal antibody that interferes with human epidermal growth factor receptor 2 (HER2), thereby blocking its physiological function in cardiac cells. This is responsible for cardiac complications that hamper TRZ clinical application. In this study we investigated the involvement of FcγRs in the TRZ cardiotoxicity. We used a recombinant antigen-binding fragment (Fab) of TRZ (rFab-HER2) to examine whether the absence of the Fc region resulted in fewer cardiomyocyte toxicity while preserving TRZ's ability to inhibit HER2. When exposed to rFab-HER2, AC16 human adult ventricular cardiomyocytes were less vulnerable to damage and death, than to TRZ. Specifically, TRZ exhibited cytotoxicity at a lower concentration (150 µg/mL, corresponding to ~1 µM) compared to rFab-HER2 (250 µg/mL, corresponding to ~5 µM). Like TRZ, rFab-HER2 negatively modulated HER2 levels in cardiomyocyte (without inducing cytotoxic activity in BJ human fibroblast cells that either did not express or express very low levels of HER2) and inhibited the downstream ERK/AKT cascades. But rFab-HER2 did not alter cardiomyocyte mitochondrial dynamic balance, and affect apoptosis and inflammation, while it limited cytosolic and mitochondrial ROS indicators. On contrary, the Fc region (50-250 μg/mL) exerted direct cytotoxic action on cardiomyocytes (but not on human fibroblasts that lacked Fc receptors). TRZ (150 μg/mL) markedly upregulated the expression level of FcγRIIA (a FcγRs strongly involved in TRZ-induced antibody-dependent cellular toxicity) in cardiomyocytes, whereas the Fab fragment (150 μg/mL) had no effect. Our results demonstrate that Fc region plays an important pathogenic role in TRZ-induced cardiomyocyte toxicity. In addition, targeting FcγRIIA might contribute to the off-target effects of TRZ therapy.