Dynamic Balance Research Articles

Multipath Routing with Dynamic Load Balancing for Enhanced Energy Efficiency in Zone-Based Wireless Ad Hoc Networks

Mobile Ad hoc Networks (MANETs) consist of independent, self-organized mobile nodes capable of wirelessly communicating with each other in a reliable and secure manner. One of the major challenges in MANETs is energy consumption, as the lifetime of a node's battery is limited. This limitation can affect both network connectivity and the lifetime of individual nodes. Various protocols, proposed by the IETF and other solution providers, have aimed to optimize bandwidth, transmission quality, and power control, but none have significantly improved energy consumption. In response to these challenges, the proposed protocol is the Dynamic Load Balancing in Multipath Energy-Consuming Routing Protocol (DLB-MERP) for Wireless Ad hoc Networks. DLB-MERP can be viewed as an extension of the AOMDV protocol and is classified as a zone-based routing protocol, though it incorporates superior load balancing and energy management techniques. It introduces the concept of virtual zones to manage and distribute energy consumption in an organized way. The protocol selects communication paths based on the availability of node energy and power levels. A leader node is defined within each zone, chosen based on its energy level, load, and channel strength, to optimize energy usage. This method increases network resiliency through multipath routing, thereby enhancing overall network performance and extending network lifetime. DLB-MERP effectively addresses the limitations of existing energy-aware routing methodologies by balancing energy consumption, leading to prolonged network operation.

Six Weeks to Wellness: The Role of Breathing Exercises Based on Motor Development Pattern in Improving Fitness and Quality of Life in Overweight Elderly Women.

Background: Being overweight is a major global health epidemic of the 20th and 21st centuries, which can affect the movement system function of older adult women. This study evaluated the effects of a breathing exercise based on motor development patterns on functional fitness and quality of life in overweight older adult women. Methods: A randomized controlled trial was conducted with 40 community-dwelling women aged 65-75. Participants were randomly assigned to an intervention group, which completed a 6-week breathing exercise program (three supervised and three home-based sessions per week), or a control group, which maintained usual routines. Outcome measures included cardiovascular fitness, upper and lower body flexibility, muscle strength, dynamic balance, and quality of life, assessed at baseline and post-intervention. Results: The intervention group showed significant improvements in cardiovascular fitness (p < .001, ES = 0.652), upper body flexibility (p < .001, ES = 0.652), lower body flexibility (p < .001, ES = 0.538), upper body strength (p < .001, ES = 0.538), lower body strength (p < .001, ES = 0.538), and dynamic balance (p < .001, ES = 0.475) compared to the control group. Quality of life also significantly improved in the intervention group (p < .001, ES = 0.475). Conclusion: Breathing exercises based on motor development patterns significantly enhance functional fitness and quality of life in overweight older adult women. Incorporating these exercises into regular physical activity routines may promote health and independence in older adults. Further research should explore long-term benefits and optimal exercise parameters for older adults.

Equilibrio y carga plantar en diferentes técnicas de sentadilla

This research aims to analyze dynamic balance and plantar load in different squatting techniques, providing insights into the influence of these exercises in practitioners who incorporate weightlifting into their training routines. A sample of 21 subjects engaged in activities involving three squatting techniques: Back Squat (BS), Front Squat (FS), and Overhead Squat (OHS) was analyzed. Participants assumed a baseline posture and performed exercises with approximately 50% RM for each squatting technique. A plantar pressure measurement system was used to assess center of pressure (COP) displacement, peak pressure (PP), and plantar load in different regions of the foot. One-way Welch's ANOVA considering COP displacement, PP, and percentage of force for each foot region was measured. The results showed no significant effect of the squatting technique on COP trajectory during the exercises. However, a significant interaction was observed between the squatting technique and PP compared to the static balance situation. All three squats resulted in higher PP than static balance, with OHS exhibiting the highest values, followed by FS and BS. No significant differences were found between the squat techniques. These findings suggest that different squat techniques can influence plantar load, but do not affect the trajectory of the COP during the execution of the exercise. The heel region generated the greatest plantar load among the three squat techniques and should receive greater attention during the squat and its variations. This information can assist in prescribing exercises and developing more efficient training programs for weightlifters.

Examining the effects of non-immersive virtual reality game-based training on knee hyperextension control and balance in chronic stroke patients: a single-blind randomized controlled study.

Post-stroke hemiparesis can lead to decreased mobility, gait disturbances, impaired balance, postural instability, limitations in activities of daily living (ADL), and long-term disability. The aim of this study was to examine the effect of non-immersive virtual reality game-based training (nIVRGT) in addition to conventional rehabilitation in stroke patients on dynamic balance, knee hyperextension control, and ADL. Twenty-five chronic stroke patients aged between 51 and 70 were included in the study. Stroke patients were randomized to a control group (n = 12) and a study group (n = 13). Individuals in control group participated conventional physiotherapy and rehabilitation program for 60min, 3 days a week for 6 weeks. individuals in the study group received 40min of conventional physiotherapy and rehabilitation program plus 20min nIVRGT. Functional Reach Test, Timed Up and Go Test, Computerized Gait Evaluation System and Barthel Index were used in the evaluation. The study group improved significantly in dynamic balance, knee control, and ADL (p < 0.05). In the control group, significant improvements were observed in dynamic balance and knee control (p < 0.05), except ADL (p > 0.05). The study group improved in dynamic balance compared with the control group (p < 0.05). Knee control and ADL improved similarly in both groups (p > 0.05). Our results showed that conventional and additional nIVRGT rehabilitation improved dynamic balance and knee hyperextension control in chronic stroke. However, it was observed that the non-immersive virtual reality (nIVR) approach was more effective in improving dynamic balance in stroke patients than conventional rehabilitation alone. NCT05907473.

Effects of Cervical Mobilization on Balance and Proprioception in Patients With Nonspecific Neck Pain

ObjectiveThis study investigates the effect of cervical mobilization on balance and cervical proprioception in patients with nonspecific neck pain. MethodsA prospective, double-blind, randomized clinical trial was conducted involving a 3-week treatment protocol for which 66 patients were randomly assigned to 2 groups. Both groups underwent conventional physiotherapy (hot pack and transcutaneous electrical nerve stimulation) twice a week for 3 weeks along with additional cervical mobilization in the mobilization group, and sham mobilization in the sham control group. Static and dynamic balance, cervical proprioception, cervical mobility, and pain intensity were evaluated using a Kinesthetic Skill Training System 3000 device, the “Joint Position Error Test,” Cervical Range-of-Motion Instrument, and the visual analog scale, respectively. ResultsAfter treatment, significant improvements were noted in dynamic balance, mobility, pain intensity (P < .001, P < .001, P < .001, respectively), and proprioception in the left direction of rotation in the mobilization group (P = .003) that were significantly greater than those observed in the sham mobilization group (P < .001, P < .001, P < .001, P = .003, respectively). Although a significant decrease was observed in the deficits of static balance (P = .044) and proprioception in the right direction of rotation (P = .011) after mobilization, the changes were similar in both the mobilization and sham mobilization groups (P = .192, P = .154, respectively). ConclusionCervical mobilization led to significant improvements in dynamic balance, pain intensity, mobility, and partial improvements to proprioception in a comparison with a sham mobilization group, while the effect on static balance was not significant.

Optimizing data transmission in 6G software defined networks using deep reinforcement learning for next generation of virtual environments

Data transmission of Virtual Reality (VR) plays an important role in delivering a powerful VR experience. This increasing demand on both high bandwidth and low latency. 6G emerging technologies like Software Defined Network (SDN) and resource slicing are acting as promising technologies for addressing the transmission requirements of VR users. Efficient resource management becomes dominant to ensure a satisfactory user experience. The integration of Deep Reinforcement Learning (DRL) allows for dynamic network resource balancing, minimizing communication latency and maximizing data transmission rates wirelessly. Employing slicing techniques further aids in managing distributed resources across the network for different services as enhanced Mobile Broadband (eMBB) and Ultra-Reliable and Low Latency Communications (URLLC). The proposed VR-based SDN system model for 6G cellular networks facilitates centralized administration of resources, enhancing communication between VR users. This innovative solution seeks to contribute to the effective and streamlined resource management essential for VR video transmission in 6G cellular networks. The utilization of Deep Reinforcement Learning (DRL) approaches, is presented as an alternative solution, showcasing significant performance and feature distinctions through comparative results. Our results show that implementing strategies based on DRL leads to a considerable improvement in the resource management process as well as in the achievable data rate and a reduction in the necessary latency in dynamic and large scale networks.

Ivabradine prevents doxorubicin-induced cardiotoxicity via attenuating mitochondrial dysfunction and mitochondrial dynamic imbalance in H9C2 cells and rats

Abstract Background Doxorubicin (DOX) is a widely used chemotherapeutic agent, and cardiotoxicity is one of its well-known side effects, which is mediated by cardiac mitochondrial dysfunction. Ivabradine (IVA), a heart rate reduction drug, exerts benefits in various cardiac diseases as shown in both preclinical and clinical studies. However, its roles on DOX-induced cardiotoxicity have never been investigated. Purpose We determined whether IVA reduces DOX-induced cardiotoxicity by directly promoting mitochondrial function and maintaining mitochondrial dynamic balance. Methods H9C2 cells were divided into 4 groups: 1) Control, 2) DOX (10 μM, 25 h), 3) IVA (3 μM, 25 h), 4) Pretreatment with IVA (3 μM, 1 h), followed by DOX treatment (10 μM, 24 h). Then, cell viability and mitochondrial function were determined. In animal study, male Wistar rats were divided into 4 groups: 1) Control, 2) IVA (10 mg/kg/d, PO), 3) DOX (3 mg/kg/d, 6 doses, IP), 4) Co-treatment with IVA (10 mg/kg/d, PO) and DOX (3 mg/kg/d, 6 doses, IP) for 30 days. Then, heart rate, cardiac function, and cardiac mitochondrial dynamic proteins were determined. Result DOX reduced %cell viability of H9C2 cells via increasing cellular and mitochondrial oxidative stress, and reducing mitochondrial respiration (Figure 1A, B). Under DOX-induced cellular injury condition, pretreatment with IVA resulted in increasing %cell viability by 11%, decreasing cellular and mitochondrial oxidative stress; however, IVA did not affect mitochondrial respiration. Consistent with in vitro study, DOX induced cardiac dysfunction as indicated by reduced heart rate and ejection fraction, impaired mitochondrial function and mitochondrial dynamics balance (Figure 1C, D). Co-treatment with DOX and IVA had no further impact on heart rate. DOX-IVA attenuated cardiac mitochondrial dysfunction and mitochondrial dynamics imbalance, thus prevented cardiac dysfunction. Conclusion IVA effectively protected against DOX-induced cardiotoxicity through improvement of mitochondrial function, mitochondrial dynamics, and reduction of oxidative stress. These findings suggest the therapeutic potential of IVA in preventing Dox-induced cardiotoxicity.

Can HRV Biofeedback Training Improve the Mental Resilience of Icelandic Police Officers?

High heart rate variability (HRV) is increasingly recognized as an indicator of a healthy regulatory system, reflecting the dynamic balance between sympathetic (SNS) and parasympathetic (PSNS) nervous system activity. According to the neurovisceral integration model, this balance is managed by the central autonomic network (CAN), comprised of specific brain regions involved in emotional, attentional, and autonomic regulation. HRV thus reflects the performance of the cognitive, affective, and autonomic regulation system. Numerous studies support the relationship between HRV and the CAN, including research on HRV biofeedback training (HRVBF). Studies on the effectiveness of HRVBF for professions such as police officers have shown improvements in self-regulation, decision-making, and performance. However, few studies have specifically explored HRVBF's influence on HRV metrics in police officers, highlighting a need for further research. This study addresses this gap by randomly assigning 27 Icelandic police officers to intervention or wait-list control groups. The intervention group underwent a five-week HRVBF program, including group and individual training sessions. Results showed significant increases in HRV metrics for the intervention group, indicating improved autonomic function and stress resilience. Mental resilience increased significantly as measured by subjective measures of attentional control, mindful awareness, and reduced fatigue. These findings support the efficacy of HRVBF in enhancing HRV and mental resilience for police officers, suggesting its applicability and potential for integration into existing training programs.

Caffeine optimizes Zumba training benefits on functional performances in middle-aged women: a randomized trial study

The current study aimed to explore the effect of daily caffeine supplementation (100 mg/day) and 12-week of Zumba training on functional performances in middle-aged women. Eighty-five middle-aged women were randomized into 4 groups including control, Zumba training (ZT), caffeine supplementation (Ca) or caffeine-Zumba training (Ca + ZT) groups. Functional performances were assessed using 10 m Walk, Timed Up and Go, Functional Reach, and 30-Second Chair Stand tests. As results, ZT, Ca and Ca + ZT intervention programs showed a significant (p < 0.05) functional performances improvement. However, Ca + ZT group showed significant (p < 0.001) better scores in terms of mobility (95%CI [0.71, 1.43]), gait speed (95%CI [0.52, 1.71]) and lower body endurance strength (95%CI [-6.93, -1.92]), except for dynamic balance (95%CI [-9.41, -3.44]). In conclusion, 12-week of Zumba training improves functional performances in middle-aged women, and daily caffeine intake is an effective alternative for improving such performances. Supplementing caffeine (100 mg/day) to Zumba training was effective in boosting Zumba benefits on these functional performances.

Mixed and membrane-separated culturing of synthetic cyanobacteria-yeast consortia reveals metabolic cross-talk mimicking natural cyanolichens

Metabolite exchange mediates crucial interactions in microbial communities, significantly impacting global carbon and nitrogen cycling. Understanding these chemically-mediated interactions is essential for elucidating natural community functions and developing engineered synthetic communities. This study investigated membrane-separated bioreactors (mBRs) as a novel tool to identify transient metabolites and their producers/consumers in mixed microbial communities. We compared three co-culture methods (direct mixed, 2-chamber mBR, and 3-chamber mBR) to grow a synthetic binary community of the cyanobacterium Synechococcus elongatus PCC 7942 and the fungus Rhodotorula toruloides NBRC 0880, as well as axenic S. elongatus. Despite not being natural lichen constituents, these organisms exhibited interactions resembling those in cyanolichens. S. elongatus fixed CO2 into sugars as the primary shared metabolite, while R. toruloides secreted various biochemicals, predominantly sugar alcohols, mirroring the metabolite exchange observed in natural lichens. The mBR systems successfully captured metabolite gradients and revealed rapidly consumed compounds, including TCA cycle intermediates and amino acids. Our approach demonstrated that the 2-chamber mBR optimally balanced metabolite exchange and growth dynamics. This study provides insights into cross-species metabolic interactions and presents a valuable tool for investigating and engineering synthetic microbial communities with potential applications in biotechnology and environmental science.

Dexmedetomidine ameliorates acute kidney injury by regulating mitochondrial dynamics via the α2-AR/SIRT1/PGC-1α pathway activation in rats

BackgroundSepsis-associated acute kidney injury (AKI) is a serious complication of systemic infection with high morbidity and mortality in patients. However, no effective drugs are available for AKI treatment. Dexmedetomidine (DEX) is an alpha 2 adrenal receptor agonist with antioxidant and anti-apoptotic effects. This study aimed to investigate the therapeutic effects of DEX on sepsis-associated AKI and to elucidate the role of mitochondrial dynamics during this process.MethodsA lipopolysaccharide (LPS)-induced AKI rat model and an NRK-52E cell model were used in the study. This study investigated the effects of DEX on sepsis-associated AKI and the molecular mechanisms using histologic assessment, biochemical analyses, ultrastructural observation, western blotting, immunofluorescence, immunohistochemistry, qRT-PCR, flow cytometry, and si-mRNA transfection.ResultsIn rats, the results showed that administration of DEX protected kidney structure and function from LPS-induced septic AKI. In addition, we found that DEX upregulated the α2-AR/SIRT1/PGC-1α pathway, protected mitochondrial structure and function, and decreased oxidative stress and apoptosis compared to the LPS group. In NRK-52E cells, DEX regulated the mitochondrial dynamic balance by preventing intracellular Ca2+ overloading and activating CaMKII.ConclusionsDEX ameliorated septic AKI by reducing oxidative stress and apoptosis in addition to modulating mitochondrial dynamics via upregulation of the α2-AR/SIRT1/PGC-1α pathway. This is a confirmatory study about DEX pre-treatment to ameliorate septic AKI. Our research reveals a novel mechanistic molecular pathway by which DEX provides nephroprotection.

The Application, Challenges, and Reflection of Generative Artificial Intelligence in the Field of Education

The rapid development of Generative Artificial Intelligence technology has brought new opportunities to the field of education, giving rise to a large number of intelligent teaching applications and improving the quality and efficiency of teaching. However, the education industry has also encountered unprecedented challenges and tests, including new adjustments and changes in educational concepts, curriculum content, teaching methods, allocation of educational resources, educational evaluation systems, and teacher career transformation. These challenges urgently need to be faced and overcome by educators together. Therefore, while facing the heat of artificial intelligence technology, it is necessary to maintain rational thinking and reflect on some of the problems exposed in the application process of artificial intelligence, ensuring that artificial intelligence technology is applied reasonably and truly serving the essence and goals of education, achieving a dynamic balance between technology and humanistic education.

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

AbstractNumerous 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 &lt; 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.