Balance Performance Research Articles

MFPSP: Identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm

Protein phosphorylation is essential in various signal transduction and cellular processes. To date, most tools are designed for model organisms, but only a handful of methods are suitable for predicting task in fungal species, and their performance still leaves much to be desired. In this study, a novel tool called MFPSP is developed for phosphorylation site prediction in multi-fungal species. The amino acids sequence features were derived from physicochemical and distributed information, and an offspring competition-based genetic algorithm was applied for choosing the most effective feature subset. The comparison results shown that MFPSP achieves a more advanced and balanced performance to several state-of-the-art available toolkits. Feature contribution and interaction exploration indicating the proposed model is efficient in uncovering concealed patterns within sequence. We anticipate MFPSP to serve as a valuable bioinformatics tool and benefiting practical experiments by pre-screening potential phosphorylation sites and enhancing our functional understanding of phosphorylation modifications in fungi. The source code and datasets are accessible at https://github.com/AI4HKB/MFPSP/.

Radiation Performance Comparison and Analysis of Ku-band Microstrip Antennas with Diamond, Octagonal, and Circular Array Configurations

Phased array antennas are essential in modern communication systems, particularly within the Ku-band, which is widely used for satellite communications and radar applications due to its high data rate capabilities. This paper explores the radiation characteristics of Ku-band microstrip antennas arranged in diamond, octagonal, and circular arrays, focusing on uniform excitation to ensure consistency across evaluations. Using CST Microwave Studio 2024 for simulations, the study found that the rectangular array provides the highest gain and narrowest beamwidth, making it suitable for applications where directional accuracy is critical. However, this configuration also resulted in higher sidelobe levels, which can be problematic in environments where minimal interference is required. The diamond array, while exhibiting lower gain, achieved superior sidelobe suppression, making it ideal for scenarios where reducing interference is prioritized over maximizing directivity. The octagonal and circular arrays provided balanced performance across all metrics, offering versatile options for various operational needs. These results provide valuable guidance for optimizing phased array designs to meet specific requirements in Ku-band applications.

The Role of Earthquake-Resistant Building Elements in Parametric Architecture Design; Balancing Aesthetics and Performance

The Role of Earthquake-Resistant Building Elements in Parametric Architecture Design; Balancing Aesthetics and Performance

Prediction of Efficiency, Performance, and Emissions Based on a Validated Simulation Model in Hydrogen–Gasoline Dual-Fuel Internal Combustion Engines

This study explores the performance and emissions characteristics of a dual-fuel internal combustion engine operating on a blend of hydrogen and gasoline. This research began with a baseline simulation of a conventional gasoline engine, which was subsequently validated through experimental testing on an AVL testbed. The simulation results closely matched the testbed data, confirming the accuracy of the model, with deviations within 5%. Building on this validated model, a hydrogen–gasoline dual-fuel engine simulation was developed. The predictive simulation revealed an approximately 5% increase in overall engine efficiency at the optimal operating point, primarily due to hydrogen’s combustion properties. Additionally, the injected gasoline mass and CO₂ emissions were reduced by around 30% across the RPM range. However, the introduction of hydrogen also resulted in a slight reduction (~10%) in torque, attributed to the lower volumetric efficiency caused by hydrogen displacing intake air. While CO emissions were significantly reduced, NOₓ emissions nearly doubled due to the higher combustion temperatures associated with hydrogen. This research demonstrates the potential of hydrogen–gasoline dual-fuel systems in reducing carbon emissions, while highlighting the need for further optimization to balance performance with environmental impact.

Multivalent Cations Substitution Accelerate Li‐Ion Diffusion in Na4Cr2Nb98O250 Defect Phase for Wide Temperature Energy Storage

AbstractNiobate materials are regarded as promising anode materials for Lithium‐ion batteries. Inspired by the design of shear‐type ReO3 materials through the multivalent cations substitution defect construction method, nonequivalent Na4M2Nb98O250 (M = Fe, Cr, NFNO, NCNO) anode materials are synthesized. The novel NCNO material exhibits a modified N‐Nb2O5 isostructural defect phase that can optimize 3D Li‐ion transport channels and enhance the electronic conductivity, leading to a superior ionic diffusion coefficient (DLi) and good structural stability. It shows balanced high performance with respect to specific capacity, rate capacity and cyclability. Furthermore, it also demonstrates outstanding wide‐temperature (−10 to 45 °C) lithiation performance, especially at low temperature (−10 °C) of a capacity exceeding 100 mAh g−1 at 5C and minimal capacity decay (0.012% per cycle) after 1000 cycles, indicating the great potential of wide temperature energy storage.

Tai chi improves balance performance in healthy older adults: a systematic review and meta-analysis

BackgroundPrevious research has indicated that tai chi exercise can effectively enhance balance performance in patients; however, its impact on healthy individuals remains uncertain. Therefore, this meta-analysis aims to investigate the effects of different intensities and styles of tai chi exercise on the balance performance of healthy older adult individuals.MethodsA targeted search method was employed to identify studies investigating the impact of tai chi exercise on balance in older adults across a range of databases, including Web of Science, PubMed, Cochrane Central, EBSCO, CHKI, and Embase. The studies were conducted in accordance with the PRISMA and PERSiST guidelines, and two independent reviewers were responsible for the search, screening of results, extraction of data, and assessment of study quality. A random-effects model was employed to calculate the weighted mean difference (WMD) and 95% confidence interval (CI).Results2000 participants who met inclusion criteria were included in analyses across 28 trials. The findings indicated that tai chi can enhance the balance performance of healthy older adults, as demonstrated by the Timed Up and Go test (WMD = −1.04, 95% CI: −1.36 to-0.72, p < 0.00001, I2 = 71%), functional Reach test (FR) (WMD = 2.81, 95% CI: 1.60 to 4.02, p < 0.00001, I2 = 56%), and Berg Balance Scale (WMD = 2.55, 95% CI: 1.19 to 3.91, p = 0.0002, I2 = 88%), as well as other balance tests such as SLS (WMD = 5.03, 95% CI: 3.08 to 6.97, p < 0.00001, I2 = 85), and GS (WMD = 0.09, 95% CI: 0.05 to 0.12, p < 0.00001, I2 = 54%). Subgroup analyses showed that tai chi exercise for both ≤12 and > 12 weeks was statistically significant (< 0.01, respectively) for balance performance in healthy older adults, especially for tai chi exercise performed more than twice a week (WMD = −1.03, 95% CI: −1.35 to −0.72, p < 0.00001) and for more than 45 min each time (WMD = −1.11, 95% CI: −1.58 to-0.63, p < 0.00001) tai chi exercise had greater benefits on TUG time, FR distance and BBS in healthy older adults. In addition, compared to Sun-style tai chi, Yang-style tai chi was more effective.ConclusionThe tai chi exercise positively affects the balance performances of healthy older adults. Engaging in short-term (≤12 weeks) exercise for more than two 45-min sessions per week has been found to produce more pronounced effects. The effectiveness of Yang-style tai chi is superior to that of Sun-style tai chi.Systematic review registrationPROSPERO ID is CRD42024532577 https://www.crd.york.ac.uk/prospero/.

Ruzicka Indexive Throttled Deep Neural Learning for Resource-Efficient Load Balancing in a Cloud Environment

Cloud Computing (CC) is a prominent technology that permits users as well as organizations to access services based on their requirements. This computing method presents storage, deployment platforms, as well as suitable access to web services over the internet. Load balancing is a crucial factor for optimizing computing and storage. It aims to dispense workload across every virtual machine in a reasonable manner. Several load balancing techniques have been conventionally developed and are available in the literature. However, achieving efficient load balancing with minimal makespan and improved throughput remains a challenging issue. To enhance load balancing efficiency, a novel technique called Ruzicka Indexive Throttle Load Balanced Deep Neural Learning (RITLBDNL) is designed. The primary objective of RITLBDNL is to enhance throughput and minimize the makespan in the cloud. In the RITLBDNL technique, a deep neural learning model contains one input layer, two hidden layers, as well as one output layer to enhance load balancing performance. In the input layer, the number of cloud user tasks is collected and sent to hidden layer 1. In that layer, the load balancer in the cloud server analyzes the virtual machine resource status depending on energy, bandwidth, memory, and CPU using the Ruzicka Similarity Index. Then, it is classified VMs as overloaded, less loaded, or balanced. The analysis results are then transmitted to hidden layer 2, where Throttled Load Balancing is performed to dispense the workload of weighty loaded virtual machines to minimum loaded ones. The cloud server efficiently balances the workload between the virtual machines in higher throughput and lower response time and makespan for handling a huge number of incoming tasks. To evaluate experiments, the proposed technique is compared with other existing load balancing methods. The result shows that the proposed RITLBDNL provides better performance of higher load balancing efficiency of 7%, throughput of 46% lesser makespan of 41%, and response time of 28% than compared to conventional methods.

Impact of various training programs on lower limb biomechanics in adolescent Latin dancers

Latin dance attracts many young dancers globally. While these adolescents exhibit flexibility and imitation skills, their muscular strength and neuromuscular control often fall short, making complex movements challenging. Thus, incorporating functional training methods is essential for enhancing performance and reducing injury risk. This study, a total of 30 adolescent female Latin dancers aged 12–14 years with at least one year of training and competition experience were recruited for this study and randomly divided into two groups: One group of 15 students (average height 154.37 ± 3.82 cm, average weight 45.31 ± 5.29 kg) received traditional Latin dance training, and the other group of 15 students (15 students average height 154.73 ± 4.28 cm, average weight 44.63 ± 4.37 kg) received traditional Latin dance training and based on traditional Latin dance training, functional exercise was carried out for 12 weeks. A Vicon motion capture system, force platform, and electromyography were used to collect biomechanical data. Paired samples t-tests assessed significant differences between groups pre- and post-intervention. The experimental group showed significant improvements post-intervention: in the sagittal plane, ankle joint angles improved by 14.01% to 52.21% (p < 0.001); in the coronal plane, knee joint angles increased by 0% to 31.21% (p < 0.001) and 66.67% to 100% (p < 0.001); in the horizontal plane, hip joint angles improved by 4.99% to 76.00% (p < 0.001). Muscle activation showed significant increases in gastrocnemius lateral (p = 0.016), gluteus maximus (p = 0.001), tibialis anterior (p = 0.014), and rectus femoris (p < 0.001). Functional training enhances joint flexibility, muscle activation, balance, and overall performance in adolescent Latin dancers. Integrating functional training into regular routines can improve athletic performance and lower injury risk, informing the development of targeted training programs.

Stroboscopic Vision Decreases Performance on the Y-Balance Test in Youth Athletes

OBJECTIVE: To evaluate if stroboscopic vision significantly affected dynamic balance performance on the YBT-LQ in athletes aged 12-18 years. DESIGN: Single group pre-test post-test quasi experimental study METHODS: Two hundred seventy-two participants aged 12-18 years, who participated in a school- or club-sponsored sport, performed the Y-Balance Test Lower Quarter (YBT-LQ) without and with stroboscopic vision. Reach distances were recorded for each participant with and without stroboscopic vision. Main effects were analyzed to interpret the effect of stroboscopic vision on YBT-LQ performance, and secondary effects were analyzed to interpret the effect on individual reach directions and composite scores. RESULTS: There were significant main effects between YBT-LQ scores with and without stroboscopic vision ( p = <.001). Post hoc analyses identified a significant decrease in performance when participants performed the YBT-LQ with stroboscopic vision compared to the YBT-LQ under standard conditions in each reach direction, for left and right lower extremities. There was a significant decrease in composite scores when controlling for leg length of the participants. CONCLUSION: Performance of the YBT-LQ decreases when youth athletes’ vision is perturbed with stroboscopic vision.

Cyano-substituted Bis((benzothiophen-2-yl)pyridine) (acetylacetonate) iridium complexes for efficient and stable deep red organic light-emitting diodes emitting at 673 nm

This study explores the development of cyano-substituted bis((benzothiophen-2-yl)pyridine) (acetylacetonate) iridium complexes, specifically Ir(btpCN)2(acac), for use in efficient and stable deep red organic light-emitting diodes (OLEDs) emitting at 673 nm. The new emitter, Ir(btpCN)2(acac), was designed to achieve red-shifted emission through strategic cyano substitution at the meta-position of pyridine moiety of btp ligand, leveraging the favorable overlap between its emission spectrum and the absorption spectrum of the exciplex host composed of BCzPh and CN-T2T. The OLED devices employing Ir(btpCN)2(acac) as the emitter exhibited a peak external quantum efficiency (EQE) of 10.2 % and an emission wavelength of 673 nm. Significantly, these devices demonstrated superior operational stability, with a lifetime (LT50) of 190.8 h at an initial luminance of 200 cd m−2, which is among the highest reported for deep-red OLEDs in the literature. This remarkable stability is achieved without compromising the device performance, making Ir(btpCN)2(acac) a highly promising candidate for commercial applications. In addition, the straightforward synthesis process of Ir(btpCN)2(acac) further enhances its potential for widespread use. Overall, our findings highlight the potential of cyano-substituted Ir complexes for creating efficient, stable, and commercially viable deep-red OLEDs. The balanced performance of Ir(btpCN)2(acac) in terms of efficiency, stability, and ease of synthesis marks a significant advancement in the development of OLED technology suitable for phototherapy and other applications requiring reliable deep-red light sources.

Rebalance the Inhibitory System in the Elderly Brain: Influence of Balance Learning on GABAergic Inhibition and Functional Connectivity.

Aging involves complex processes that impact the structure, function, and metabolism of the human brain. Declines in both structural and functional integrity along with reduced local inhibitory tone in the motor areas, as indicated by reduced γ-aminobutyric acid (GABA) levels, are often associated with compromised motor performance in elderly adults. Using multimodal neuroimaging techniques including magnetic resonance spectroscopy (MRS), diffusion magnetic resonance imaging (MRI), functional MRI as well as transcranial magnetic stimulation to assess short-interval intracortical inhibition (SICI), this study explores whether these age-related changes can be mitigated by motor learning. The investigation focused on the effects of long-term balance learning (3 months) on intracortical inhibition, metabolism, structural, and functional connectivity in the cortical sensorimotor network among an elderly cohort. We found that after 3 months of balance learning, subjects significantly improved balance performance, upregulated sensorimotor cortical GABA levels and ventral sensorimotor network functional connectivity (VSN-FC) compared to a passive control group. Furthermore, correlation analysis suggested a positive association between baseline VSN-FC and balance performance, between baseline VSN-FC and SICI, and between improvements in balance performance and upregulation in SICI in the training group, though these correlations did not survive the false discovery rate correction. These findings demonstrate that balance learning has the potential to counteract aging-related decline in functional connectivity and cortical inhibition on the "tonic" (MRS) and "functional" (SICI) level and shed new light on the close interplay between the GABAergic system, functional connectivity, and behavior.

The effect of cognitive rehabilitation on motor function and balance in individuals with multiple sclerosis: a systematic review.

Balance and motor functions are associated with a complex sensory-cognitive-motor system that is not reliant on a single component. In people with Multiple Sclerosis (pwMS), deficits in cognitive domains may cause abnormal gait and balance disorders. Therefore, the impact of cognitive rehabilitation (CR) on motor and balance functions in pwMS was investigated. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the review was registered in the Prospero system. A systematic search was conducted in PubMed, Web of Science, Scopus, and Cochrane Library until April 2024. Articles meeting the eligibility criteria were assessed and included in the review, those that evaluated the impact of CR on balance and motor functions. Bias in the studies was assessed by using the Risk of Bias-2 tool for randomized controlled trials. The articles' evidence level was evaluated using the Modified Bakker Scale. After searching four databases, eight studies were included in the review, comprising a total of 668 participants. The bias risks of the studies were categorized as low in two studies, unclear in five studies, and high in one study. The evidence levels of the studies showed high levels of evidence for balance and motor skills. This review suggests that CR may have a positive impact on motor and balance performance in pwMS, underscoring the relationship between cognition and motor function. Further research is required to enhance this evidence base, particularly given the limited number of studies in this area.

Multimodal Feedback Methods for Advancing the Accessibility of Immersive Virtual Reality for People With Balance Impairments Due to Multiple Sclerosis.

Maintaining balance in immersive virtual reality (VR) environments poses a significant challenge for users, particularly affecting those with pre-existing balance disorders. This study investigates the efficacy of multimodal feedback-comprising auditory, vibrotactile, and visual stimuli-in mitigating balance issues within VR. A sample of 68 participants, divided equally between individuals with balance deficits related to multiple sclerosis and those without, was evaluated. The research explored the impact of various feedback conditions on balance performance. The results demonstrated that the multimodal feedback condition significantly enhanced balance control compared to other conditions, with statistical analysis confirming this improvement (p<.001). These findings underscore the potential of integrated sensory feedback in addressing balance-related difficulties in VR, thereby improving the overall accessibility and user experience for individuals affected by balance impairments. This research contributes valuable insights into optimizing VR environments for enhanced stability and user comfort.

Thermo-hydraulic performance evaluation of lattice structures with triply periodic minimal surfaces for latent heat storage devices

Triply periodic minimal surface (TPMS) structures exhibit significant potential in latent heat storage (LHS) applications. In this study, numerical investigations were conducted to study the thermal storage performance of four TPMS lattice types: Primitive, IWP, FRD, and Gyroid lattices, used as metallic skeletons in LHS devices. The volumes of both the TPMS skeletons and the phase change material (PCM) were kept constant, with PCM embedded either inside or outside the lattices. The melting process of PCM, the heat storage energy density, and the power density of the LHS units for different configurations were examined. Additionally, a performance evaluation coefficient was introduced to assess the heat transfer and flow characteristics of heat transfer fluid (HTF) flowing on both sides of the lattices. The results indicated that when using Primitive and FRD lattices, embedding the PCM within the internal space of the lattices resulted in a 20 % and 9.8 % higher energy storage compared to embedding it outside the lattices. The internal space of IWP and Gyroid lattices was more suitable for HTF flow channels, resulting in performance evaluation coefficients (PECs) that improved by 27.7 % and 86.3 %, respectively, when HTF flowed through the internal channels of these lattices. Moreover, the Gyroid lattice exhibited the most balanced overall heat transfer performance due to its minimal flow resistance, whereas the FRD lattice had the lowest flow performance due to its complex structure. Therefore, the Primitive and Gyroid lattices could be considered as new heat transfer structures for LHS devices, while the FRD lattice was more suitable for replacing traditional fin structures in heat sink devices.

Tailoring the microstructure and mechanical properties of wire arc additively manufactured Ti6Al4V alloy by in-situ microalloying with modified nanocarbon

Carbon alloying is a validated strategy for enhancing the mechanical properties of titanium alloys prepared by wire arc additive manufacturing (WAAM). However, achieving uniform carbon distribution, particularly nanocarbon, in the melt pool via the brushing method is challenging, which limits the improvement of mechanical properties. In this paper, nanocarbon was modified by nitric acid hydrothermal treatment and added into the Ti64 melt pool during the WAAM. The distribution of modified nanocarbon in the melt pool was characterized, and the microstructure and mechanical properties of the nanocarbon-alloyed titanium alloy deposits were studied. The findings revealed that the surface of modified nanocarbon generated oxygen-containing functional groups, which enhanced its dispersion in the melt pool. The addition of 0.1–0.3 wt% modified nanocarbon induced no pores in the deposits compared to unmodified ones. The tensile strength of the deposited alloys was continually enhanced with increasing modified nanocarbon content, while the elongation had a peak value. The Ti64 with 0.1 wt% nanocarbon exhibited a balanced comprehensive performance with an ultimate tensile strength (UTS) of 981 MPa coupled with an elongation of 8 %. The achievement of the balanced mechanical performances was attributed to the refinement of α-Ti and solid solution strengthening of nanocarbon. When 0.3 wt% nanocarbon was added, the UTS increased to 1012 MPa but the elongation sharply decreased to 4.5 % due to the precipitation of TiC.

A novel chitosan/biochar-modified eco-concrete with balanced mechanical, planting, and water purification performance for riparian restoration

The blocking between terrestrial and riverine ecosystems by impermeable concrete can cause negative impacts on plant growth, water quality, and biodiversity in riparian zones. Herein, pursuing a balance among mechanical, planting, and water purification property, chitosan/biochar-modified eco-concrete (CBEC) was prepared as a new sustainable alternative for riparian protection, ecological restoration and water quality improvement. Compressive strength of CBEC with an optimized chitosan/biochar content of 6% could reach up to 14.05 MPa, meeting the requirements for stabilizing riparian slopes. Micromorphology characterization and porosity measurement (29.63%) confirmed the abundantly porous structure of CBEC, facilitating the soil-water nutrient exchange, plant growth and microbial attachment. The 30-d water tank cultivation observed that the physiological parameters of T. orientalis planted in CBEC, including biomass, chlorophyll, protein and starch, were greatly improved compared to unmodified eco-concrete (EC). Moreover, compared to EC, biochar-modified EC and chitosan-modified EC, the planting CBEC could most effectively decrease the levels of TN, NH4+-N, TP, and COD by 53.82%, 62.50%, 88.31%, and 57.95%, respectively. Specially, the planting CBEC could degrade a common but recalcitrant pesticide nitenpyram (NTP) by 32.83% into low-toxic substances, recognized by LC-MS analysis. Microbiological analysis revealed that CBEC greatly promoted the proliferation of both nutrient-transforming bacteria (e.g., Nitrospira and Pseudomonas) and some specific species dominating NTP degradation (e.g., Rhodococcus and Bacillus). Also, PICRUSt2 prediction results identified the enrichment of functional genes related to nitrogen and phosphorus transformation. Our findings can not only develop a superior multi-performance eco-concrete material but also provide a promising strategy for sustainable riparian restoration.

Ankle torque variance is a better indicator of balance control performance than plantar perceptual sensitivity threshold.

We explored whether ankle torque variability or plantar perceptual threshold explains human balance control more effectively. We hypothesized that ankle torque variance is a better indicator of center of pressure (COP) velocity variance than plantar perceptual sensitivity. Two conditions were tested: loaded (23-kg vest added) and unloaded, as loading should diminish plantar sensitivity and increase COP velocity variability. We created a linear feedback model to assess the noise change in the sensorimotor loop induced by loading. Plantar sensitivity was quantified using a psychophysical approach while participants stood barefoot. A linear motor applied a force impulse on the participant's heel. A "yes-no" method of limits was selected to identify plantar sole sensory thresholds in both conditions. We observed reduced plantar sensitivity in loaded compared with unloaded conditions. In the loaded condition, participants exhibited greater COP velocity variance, with significant positive Pearson's correlations confirming a substantial association between ankle torque and COP velocity variances for both loaded [variance accounted for (VAF): r2 = 44.56%, P = 0.018] and unloaded conditions (VAF: r2 = 58.83%, P = 0.004). No significant correlation existed between COP velocity variance and plantar sensitivity threshold for both loaded (VAF: r2 = 0.002%, P = 0.99) and unloaded conditions (VAF: r2 = 21.81%, P = 0.35). The model confirmed an ∼88% rise in sensorimotor loop noise in the loaded condition. Ankle torque variance assesses the precision of nonperceptual and perceptual detection mechanisms in evaluating whole body motions and the accuracy in converting sensory cues into ankle torque.NEW & NOTEWORTHY Plantar cutaneous information contributes to balance control by modulating motor commands, but plantar perceptual sensitivity is a suboptimal indicator of balance performance. Multiple sensory cues encode whole body dynamics, guiding sensorimotor mechanisms to minimize body sway variability. Ankle torque variance is proposed as a superior measure for explaining balance control performance and evaluating the sensorimotor loop's functioning in balance control.

Integrating Sustainability into Material Design and Selection through Eco-Design: A Case Study on Aluminum Alloy Plates

Traditional material design focuses primarily on performance, properties, structure, and synthesis. Growing environmental awareness necessitates the integration of sustainability considerations into material design and selection. This paper introduced an approach that embeds the eco-design method within material comparison to balance performance requirements and environmental sustainability. Five types of aluminum alloys were examined to demonstrate and validate the proposed method. The alloys are commonly used in shipbuilding and have varying contents of the rare earth element Erbium. The alloys were assessed through a performance-requirement matrix, life cycle assessment, and exergy calculation to evaluate their performance, environmental impact, and resource consumption. A binary integrated decision model was created to compare the five alloys based on either their performance and environmental impact or their performance and resource consumption. Additionally, ternary integrated decision models were formulated to yield a comprehensive analysis of the five alloys, considering all three aforementioned factors. A matrix model was established to allow for comparative assessment no matter how many indicators are involved. Furthermore, a model based on the enumeration method was presented to mitigate the bias introduced by weighting factors. This methodological approach aids in selecting the most suitable alloys for diverse scenarios, thereby enhancing the sustainability of material design.

Pengaruh Mindfulness, Work-Life Balance dan Kepuasan Karyawan terhadap Kinerja Karyawan pada Karyawan Pasuruan Industrial Estate Rembang

The influence of mindfulness, work-life balance and employee satisfaction has a positive and significant influence on employee performance in Rembang industrial estate company employees. This type of research aims to measure the influence of mindfulness, work-life balance and employee satisfaction on employee performance. This research population used a purposive sampling method which obtained a sample size of 100 respondents. The data analysis method uses multiple linear regression analysis with the help of the IBM SPSS Statistical 25 application. The results of the research show that: 1. The mindfulness variable has a significant effect on employee performance, 2. The work-life balance variable has a significant effect on employee performance, 3. The satisfaction variable employees have a significant effect on employee performance. The results of the T test for the variables mindfulness, work-life balance, employee satisfaction and employee performance were obtained at mindfulness Tcount of (4.712) &gt; Ttable (1.984), (WLB) Tcount of (8.089) &gt; Ttable (1.984), (employee satisfaction) Tcount of (3,063) &gt; from Ttable (1,984) it can be concluded that the variables of mindfulness, work-life balance and employee satisfaction have a significant effect on employee performance at companies in the PIER Pasuruan area.

Histological features of the Purkinje neurons of the Albino rat (Rattus norvegicus) following letrozole administration.

Aromatase inhibitors are increasingly being used as adjuvant therapy for hormone-responsive cancers. These drugs may reduce the endogenous estrogen production in the cerebellum. Prolonged use has been associated with symptoms such as ataxia, poorer balance performance and diminished verbal memory, suggesting impaired cerebellar function. Thus, this study sought to outline the structural basis for the cerebellar deficits observed. Twenty-seven male rats (3 baseline, 15 experimental, 9 control) aged three months were recruited with the intervention group receiving 0.5 mg/kg of letrozole daily for 50 days by oral gavage while the control group received normal saline. Their cerebella were harvested for histological processing on days 20, 35, and 50. Photomicrographs were taken and analysed using Fiji ImageJ software. The dendritic spine densities and Purkinje linear densities were coded and analyzed using IBM SPSS Statistics version 25.0. A P-value of ≤0.05 was considered significant. A temporal decline in the Purkinje linear density as well as pyknosis and cytoplasmic eosinophilia was noted in the intervention group (P=0.1). Further, the dendritic spine density of the Purkinje neurons in the intervention group was markedly reduced (P=0.01). The reduction in the linear cell density and the dendritic spine density of the Purkinje cells following letrozole administration may provide an anatomical basis for the functional cerebellar deficits seen in chronic aromatase inhibitor use.