Feedback Factor Research Articles

The Effect of Perception of Job Characteristics of MZ Generation Hairdressers on Job Values and Job Satisfaction

This study is to verify the effect of the recognition of job characteristics of MZ generation hair designers on job values and job satisfaction. In this study, the purpose of this study is to contribute to the development of the beauty industry by reducing the intention of hair designers to quit the job through job satisfaction and realizing their value as professionals in a situation where hair designers are increasing. This study was conducted in a self-written method with a structured questionnaire for MZ generations working as hair shop designers. A total of 350 copies of the questionnaire were distributed, 310 copies were collected, and 269 copies were used as the final analysis data, excluding the questionnaire errors. The analysis results are as follows. First, it was found that diversity, importance, identity, and feedback factors all had a significant effect on external job values. Second, as a result of examining the effect of job characteristics on internal job values, diversity, importance, and feedback factors have a significant positive (+) effect on internal values. Third, it was found that diversity, importance, and feedback factors had a significant positive (+) effect on intrinsic job satisfaction. Fourth, in the relationship between job characteristics on external job satisfaction, importance and feedback were found to have a significant positive (+) effect. Fifth, it was found that both external and internal values had a positive (+) effect on both intrinsic and external satisfaction. As a result of this study, it was found that efforts will be needed to increase the satisfaction of MZ generation hair designers through coordination of job characteristics and restoration of flexibility. By increasing the satisfaction of MZ generation hair designers, we can expect the continuous development of the hair beauty industry.

Internet-based cognitive behavioral intervention for adolescents with anxiety disorders: a study protocol for a parallel three armed randomized controlled trial

BackgroundAnxiety disorders are among the most prevalent mental health concerns affecting children and adolescents. Despite their high prevalence, statistics indicate that fewer than 25% of individuals in this demographic seek professional assistance for their condition. Consequently, there is a pressing need to develop innovative interventions aimed at improving treatment accessibility. ObjectivesThis study aims to assess the effectiveness of Internet-delivered Cognitive Behavioral Therapy (iCBT) for adolescents with anxiety, with a specific emphasis on involving parents in the treatment process.MethodsThe study is structured as a parallel three-armed randomized controlled trial, comparing Internet-delivered Cognitive Behavioral Therapy (iCBT) with planned feedback, iCBT with on-demand feedback, and a waitlist control group, each group including 56 participants. Participants in the two iCBT conditions will undergo a 14-week treatment regimen, while those in the waitlist control group will wait for 14 weeks before starting iCBT with planned feedback. Additionally, participants in the iCBT groups will be randomly assigned to receive a booster session or not. The study design is factorial including two factors: type of therapist feedback (factor 1) and booster or no booster (factor 2). The study population comprises adolescents aged between 12 and 17 years, residing in Denmark, diagnosed with an anxiety disorder according to DSM-5 criteria. The primary outcome measures are the Youth Online Diagnostic Assessment and the Spence Children’s Anxiety Scale. Assessments will occur at baseline, post-treatment, and at 3-, 6-, and 12-month follow-ups post-treatment.DiscussionThe findings of this study are anticipated to contribute to improving the accessibility of evidence-based treatments for adolescents with anxiety.Trial registrationThe study is registered at clinicalTrials.gov, under protocol ID 22/59602. The Initial release was the 16.10.2023, first posted due to technical problems 16.04.2024. https://clinicaltrials.gov/study/NCT06368557?locStr=Odense,%20Denmark&country=Denmark&city=Odense&page=2&rank=13.

When does newcomer get feedback? Relationship between supervisor perceived organizational support and supervisor developmental feedback

PurposeUsing social exchange theory, this paper explores the relationship between supervisor perceived organizational support and supervisor developmental feedback. It verifies the mediating role of supervisor felt obligation to organization and the moderating role of supervisor core self-evaluation in this relationship.Design/methodology/approachA two-wave survey sampling method was applied to collect 247 pieces of paired data (supervisors-new employees) in organizations in China.FindingsThe results show that supervisor felt obligation to organization mediates the relationship between supervisor perceived organizational support and supervisor developmental feedback. The findings suggest that a high level of supervisor core self-evaluation strengthens the relationship between supervisor perceived organizational support and supervisor felt obligation to organization and then facilitates supervisor developmental feedback.Originality/valueThis study combines two perspectives, organizational factor and supervisor trait, to reveal the occurrence mechanism of supervisor developmental feedback and complements the research on the influencing factors of supervisor developmental feedback. In addition, it provides some theoretical guidance and practical insights into how organizations can motivate supervisors to provide developmental feedback to new employees.

Exploring the Acceptance of Mobile-Assisted Peer Feedback in English Speaking among Chinese EFL Students

Grounded in the Technology Acceptance Model (TAM), this quasi-experimental study examined the use of Mobile-Assisted Peer Feedback (MAPF) tools via the Tencent Mini Programme among Chinese university EFL learners to enhance English speaking proficiency. A mixed-methods approach was employed, using descriptive statistics for questionnaire data and thematic analysis with NVivo for interview data. Sixty non-English major students (CEFR levels A2-B1) were selected through purposive sampling and assigned to three groups: one-way, dialogic, and visualised peer feedback. Results showed positive responses across all modes, with visualised feedback rated highest for usefulness, behavioural intention, and speaking improvement. The study highlights the need to consider technological, individual, and sociocultural factors in mobile-assisted feedback for language learning. Future research should explore long-term effects, application in diverse contexts, and further refinement of mobile-assisted feedback modes to enhance learner engagement. This study contributes to the research on MAPF in English speaking and offers practical insights for educational technology development.

The curious case of the hypothalamic-pituitary-gonadal axis dysfunction in subordinate female naked mole-rats (Heterocephalus glaber): No apparent role of opioids and glucocorticoids.

The naked mole-rat (Heterocephalus glaber) is a unique model mammal in which to study socially induced inhibition of the hypothalamic-pituitary-gonadal (HPG) axis. Naked mole-rat groups exhibit a high degree of reproductive bias in which breeding is restricted to one female (the queen) and one male, with subordinate non-breeding colony members rarely, if ever, having the opportunity to reproduce due to a dysfunctional HPG axis. It is posited that aggression directed at subordinates by the queen suppresses reproduction in these subordinates, yet the underlying physiological mechanisms causing this dysfunction are unknown. This study aimed to investigate the possible factors contributing to the dysfunction of the HPG axis in subordinate female naked mole-rats with a specific focus on the role of ovarian feedback and stress-related factors such as circulating glucocorticoid and endogenous opioid peptides. The results showed that stress-related factors appear to not mediate the suppression of reproductive function in subordinate female naked mole rats. Indeed, in some cases, the activation of the stress axis may lead to reproductive activation instead of deactivation. At the same time, the role of ovarian sex steroid feedback in reproductive suppression is likely limited and not clearly delineated. This study highlights the need for detailed studies to elucidate the mechanism of reproductive suppression in this unique model mammalian species which may shed light on, and reveal novel mechanisms, in the social regulation of reproduction.

A Low-Carbon Collaborative Optimization Operation Method for a Two-Layer Dynamic Community Integrated Energy System

The traditional centralized optimization method encounters challenges in representing the interaction among multi-agents and cannot consider the interests of each agent. In traditional low-carbon scheduling, the fixed carbon quota trading price can easily cause arbitrage behavior of the trading subject, and the carbon reduction effect is poor. This paper proposes a two-layer dynamic community integrated energy system (CIES) low-carbon collaborative optimization operation method. Firstly, a multi-agent stage feedback carbon trading model is proposed, which calculates carbon trading costs in stages and introduces feedback factors to reduce carbon emissions indirectly. Secondly, a two-layer CIES low-carbon optimal scheduling model is constructed. The upper energy seller (ES) sets energy prices. The lower layer is the combined cooling, heating, and power (CCHP) system and load aggregator (LA), which is responsible for energy output and consumption. The energy supply and consumption are determined according to the ES energy price strategy, which reversely affects the energy quotation. Then, the non-dominated sorting genetic algorithm embedded with quadratic programming is utilized to solve the established scheduling model, which reduces the difficulty and improves the solving efficiency. Finally, the simulation results under the actual CIES example show that compared with the traditional centralized scheduling method, the total carbon emission of the proposed method is reduced by 16.34%, which can improve the income of each subject and make the energy supply lower carbon economy.

The metabolites of Bifidobacterium longum BB536 alleviate DHT-damaged human dermal papilla cells by activating WNT/β-catenin signaling

Probiotics have numerous biological functions and clinical studies have reported that consuming probiotic foods could promote hair growth and hair follicle health. Bifidobacterium longum BB536 was selected to investigate the possibility of treating hair loss with Cell-Free Supernatant (CFS) of B. longum BB536 and the alleviation mechanism of CFS on dihydrotestosterone (DHT)-damaged human dermal papilla cells (HDPCs). The results showed that HDPCs treated with 10% CFS of B. longum BB536 for 24 h could significantly promote cell proliferation, repair cell damage, accelerate the process of cell cycle and increase the secretion of VEGF. The CFS of B. longum BB536 reduced the apoptosis rate of DHT-damaged HDPCs. In addition, it could reduce the level of pro-inflammatory factors and improve the alkaline phosphatase (ALP) activity. Metabolites of B. longum BB536 may increase the protein expression of Wnt10b, β-catenin and LEF-1 by activating Wnt/β-catenin signaling pathway and inhibit the expression of DHT-induced negative feedback factors DKK1 and GSK-3β, which alleviates the damage of DHT on HDPCs, some protein expression levels such as LEF-1 are close to minoxidil (common drugs for hair loss). So, metabolites of B. longum BB536 can be used as new treatment for hair loss due to its safety. This study provides theoretical basis for probiotics to prevent androgenic alopecia.

Fostering key competency growth: a feedback model for university English teaching

ABSTRACT Purpose To explore a theoretical model for providing effective feedback combined with key competencies in China’s university-level English education. Design/methodology/approach Drawing from Hattie and Timperley’s feedback model regarding English key competence, we construct a feedback model and conduct teaching experiments over three semesters using mixed-methods. Quantitative data from the questionnaires were examined using variance and regression analyses in SPSS (17.0), while qualitative data from the focus group interviews were analyzed using NVivo. Findings and originality/value The results both verified and expanded Hattie and Timperley’s feedback model. The four feedback levels and factors promoted each other, thus validating the key competency-based feedback model for university English teaching. This model included the four feedback levels as its main structure, the dual promotion effect as the feedback mechanism, and the leading and subjective roles of teachers and students, respectively, as the principle. A teaching design according to this model can provide personalized, formative, and effective feedback. Additionally, the teaching environment can be optimized, and the gap between learning objectives and current practice can be effectively shortened. This will lead to the attainment of the teaching and feedback goals, eventually promoting the comprehensive development of students as well as the professional development of teachers.

Evaluation of Remote Interpreting in terms of Stress and Burnout

Stress and burnout experienced by interpreters during remote interpreting, which is more adopted after the Covid-19 pandemic in Türkiye, are examined in this study. In the first part of the study, whether the stress and burnout experienced during remote interpreting by the professional conference interpreters in Türkiye differ according to professional qualifications such as years of professional experience, having received training in remote interpreting, specialized language pairs in remote interpreting, specialized fields of interpreters in remote interpreting, and being a member of any professional association are examined. Secondly, the impact of some factors which may affect the level of stress and burnout experienced by interpreters in remote interpreting such as interpreting from a separate environment, the impact of receiving positive feedback, the quality of interpreting, and the income coming from remote interpreting compared to onsite interpreting on interpreters’ preferences for remote interpreting and/or onsite interpreting are examined by taking into consideration the professional conference interpreters in Türkiye. As a result of the analysis, first, it has been found that there is no significant relationship between the stress and burnout experienced by the interpreters in the context of remote interpreting, and their aforementioned professional qualifications. Secondly, it has been found that except the impact of receiving positive feedback factor, there is no significant relationship between the preferences of the interpreters for remote interpreting and/or onsite interpreting and the factors such as interpreting elsewhere, the quality of interpreting, and the income coming from remote interpreting compared to onsite interpreting. Interpreters prefer remote interpreting as much as they are satisfied with the positive feedback received in remote interpreting. Most of the interpreters, willing to adapt to technological developments and considering the many benefits of remote interpreting, think that remote interpreting should be as widespread as onsite interpreting. This study reveals that some improvements should be made in the context of remote interpreting in order to support interpreters’ flexibility and resilience.

6300441 Obstetric Theatre Drug Trolleys: Organisation with Staff Feedback, Ergonomics and Human Factors in Mind

6300441 Obstetric Theatre Drug Trolleys: Organisation with Staff Feedback, Ergonomics and Human Factors in Mind

MAPEO DE LOS DETERMINANTES ORGANIZATIVOS DEL RENDIMIENTO LABORAL

The purpose of the present research was to identify and assess key organizational factors affecting work performance via Gilbert´s Behavioral Engineering Model (BEM). Therefore, a self-made scale considering BEM´s dimensions was developed and tested. Data were gathered from the 1st of April to end of May 2023, using a randomly stratified sample of 297 Mexican companies of Sonora State. The final questionnaire – named ADOPTproved adequate psychometric properties to assess eight organizational factors of human performance proposed. ADOPT liability and validity are shown in the light of commented literature and data on present organizational effectiveness and corporate longevity. Main results indicate a global alpha scale liability of .92 being Task Support, knowledge/Competences, and Context most valued predictors of organizational effectiveness, followed by Aims/Objectives and Feedback factors. It was also confirmed that both contextual (environmental level) and behaviour (individual level) type of supports are equally important in predicting work performance. Evidence indicates that organizational performance management in SMEs is highly achieved on a long-term basis by attending these key factors in a specific loop, i.e. contextualising, system maintenance (feedback), and empowering. This sequence support personnel assessments as essential for empowering decision-making processes.

Hydro-chemical characteristics and groundwater quality evaluation in south-western region of Bangladesh: A GIS-based approach and multivariate analyses

The study focuses on the chemistry of groundwater and if it is suitable for drinking and for use in agriculture using water quality indices, GIS mapping, and multivariate analyses in Sharsa Upazila, Jashore district, Bangladesh. In this study, the concentration of NH4+, K+, Ca2+, EC, Turbidity overstep BDWS drinking standards in 69 %, 14 %, 100 %, 40 % (WHO), 73 % of samples respectively. The value of Water Quality Indices (WQI) results inferred that the maximum specimen was held good quality for drinking uses, and the values distributed central eastern part to the south-eastern part were good quality water in the selected studied area. The study area's PH, EC, SAR, Na (%), TH, and NO3− values were mapped using GIS tools to show their spatial distribution. The cluster and correlation matrix analyses are used to validate for Principle Component Analysis (PCA). The five PCA results exhibited that the presence of EC, turbidity, K+, SO42− and NO3− was significant and was caused by both geogenic (rock weathering and cation exchange) and anthropogenic (agrochemicals, animal feedback) factor. According to the hydro-geochemical data, the maximum number of samples is of the Ca–Mg–HCO3–Cl type and is dominated by rocks. The irrigation water indices like MH, KR, SAR, and %Na indicate show high-quality groundwater for irrigation purposes. Most of the samples were satisfactory and compiled with WHO and Bangladeshi criteria for standard drinking water guideline values.

Betterment of a displacement retrieval method based on data fitting in a near-half-fringe zone.

Raising the speed and accuracy of displacement retrieval by overcoming the weakness of time-consuming parameter estimation and a complex displacement retrieval algorithm is of key importance in improving the real-time quality of optical feedback self-mixing-based displacement measurement sensor. This paper proposes a high-speed and accurate simultaneous estimation method of displacement, optical feedback factor, and linewidth enhancement factor based on data fitting near a half-fringe cooperating with the fringe-counting method. The displacement measurement accuracy of the proposed method is about 16nm. The high estimation speed ensured by the principle of the reported method constitutes the main character of the method; besides, the method can be applied to any motion, as well as a harmonic vibration.

SETD2 deficiency promotes renal fibrosis through the TGF-β/Smad signalling pathway in the absence of VHL.

Renal fibrosis is the final development pathway and the most common pathological manifestation of chronic kidney disease. Epigenetic alteration is a significant intrinsic factor contributing to the development of renal fibrosis. SET domain-containing 2 (SETD2) is the sole histone H3K36 trimethyltransferase, catalysing H3K36 trimethylation. There is evidence that SETD2-mediated epigenetic alterations are implicated in many diseases. However, it is unclear what role SETD2 plays in the development of renal fibrosis. Kidney tissues from mice as well as HK2 cells were used as research subjects. Clinical databases of patients with renal fibrosis were analysed to investigate whether SETD2 expression is reduced in the occurrence of renal fibrosis. SETD2 and Von Hippel-Lindau (VHL) double-knockout mice were used to further investigate the role of SETD2 in renal fibrosis. Renal tubular epithelial cells isolated from mice were used for RNA sequencing and chromatin immunoprecipitation sequencing to search for molecular signalling pathways and key molecules leading to renal fibrosis in mice. Molecular and cell biology experiments were conducted to analyse and validate the role of SETD2 in the development of renal fibrosis. Finally, rescue experiments were performed to determine the molecular mechanism of SETD2 deficiency in the development of renal fibrosis. SETD2 deficiency leads to severe renal fibrosis in VHL-deficient mice. Mechanically, SETD2 maintains the transcriptional level of Smad7, a negative feedback factor of the transforming growth factor-β (TGF-β)/Smad signalling pathway, thereby preventing the activation of the TGF-β/Smad signalling pathway. Deletion of SETD2 leads to reduced Smad7 expression, which results in activation of the TGF-β/Smad signalling pathway and ultimately renal fibrosis in the absence of VHL. Our findings reveal the role of SETD2-mediated H3K36me3 of Smad7 in regulating the TGF-β/Smad signalling pathway in renal fibrogenesis and provide an innovative insight into SETD2 as a potential therapeutic target for the treatment of renal fibrosis.

Study of a High-Precision Read-Out Integrated Circuit for Bridge Sensors.

Bridge sensors are widely used in military and civilian fields, and their demand gradually increases each year. Digital sensors are widely used in the military and civilian fields. High-precision and low-power analog-to-digital converters (ADCs) as sensor read-out circuits are a research hotspot. Sigma-delta ADC circuits based on switched-capacitor topology have the advantages of high signal-to-noise ratio (SNR), good linearity, and better compatibility with CMOS processes. In this work, a fourth-order feed-forward sigma-delta modulator and a digital decimation filter are designed and implemented with a correlated double sampling technique (CDS) to suppress pre-integrator low-frequency noise. This work used an active pre-compensator circuit for deep phase compensation to improve the system's stability in the sigma-delta modulator. The modulator's local feedback factor is designed to be adjustable off-chip to eliminate the effect of process errors. A three-stage cascade structure was chosen for the post-stage digital filter, significantly reducing the number of operations and the required memory cells in the digital circuit. Finally, the layout design and engineering circuit were fabricated by a standard 0.35 μm CMOS process from Shanghai Hua Hong with a chip area of 9 mm2. At a 5 V voltage supply and sampling frequency of 6.144 MHz, the modulator power consumption is 13 mW, the maximum input signal amplitude is -3 dBFs, the 1 Hz dynamic range is about 118 dB, the modulator signal-to-noise ratio can reach 110.5 dB when the signal bandwidth is 24 kHz, the practical bit is about 18.05 bits, and the harmonic distortion is about -113 dB, which meets the design requirements. The output bit stream is 24 bits.

THE IMPACT OF MASTERY GOAL ORIENTATION IN MODERATING CREATIVE SELF-EFFICACY ON FEEDBACK RECEIVED FOR IMPROVING INNOVATIVE WORK BEHAVIOR AND CREATIVE PERFORMANCE IN INDONESIAN TEACHERS

Creativity is an important characteristic that must be possessed by teachers to be able to solve various problems in the world of education with the aim that learning can be achieved optimally. Apart from the talent that has been possessed since birth, creativity can also be presented by several factors. External factors, namely the role of feedback and internal factors, namely creative self-efficacy, innovative work behavior, and mastery goal orientation. The purpose of this research is to identify the influence of creative self-efficacy, innovative work behavior, and creative performance which is moderated by feedback and mastery goal orientation for all teachers in Indonesia. This study was designed using a purposive sampling method involving 265 teachers of Vocational High Schools (SMK) in Indonesia with various subjects and with at least 1 semester of teaching experience. Data were analyzed using Structural Equation Model (SEM) with SmartPLS 3.2.9. Some of the findings in this study are that creative self-efficacy and innovative work behavior have an influence on creative performance. Feedback also has a moderating effect on the relationship between creative self-efficacy and creative performance variables. However, there is no moderating effect on the mastery goal orientation variable which links feedback to creative performance

The abnormal track of super typhoon Hinnamnor (2022) and its interaction with the upper ocean

The upper ocean response and feedback to super typhoon Hinnamnor (2022) were systematically investigated considering multi-satellite, Array for Real-time Geostrophic Oceanography (Argo) float and reanalysis data. Hinnamnor experienced three main stages: a rapid intensification (RI) stage with a high moving speed along a westward track, a rapid weakening (RW) stage with a low moving speed along a northward sudden-turning track and a re-intensification (Re-I) stage with a moderate speed along a northward track. At the westward straight-line stage, despite the thin warm water layer (D26 < 40 m) and shallow mixed layer depth (MLD) (<20 m), its fast movement (∼8.1 m/s) tended to generate weaker sea surface temperature (SST) cooling (approximately 1 °C) and shorter cooling exposure. Consequently, the negative feedback decreased (negative feedback factor FSST:approximately−0.47to−0.20), causing Hinnamnor's rapid intensification (25 knots/6 h). Although the MLD was deeper (approximately 30 m) and the warm water layer was thicker (approximately 60 m) at the sudden-turning stage, the low translation speed (<2 m/s) tended to generate stronger SST cooling (approximately 5.6 °C) and longer cooling exposure, both of which intensified the negative feedback (FSST:approximately−0.8to−0.4), causing Hinnamnor's rapid weakening (−22 knots/6 h). At the northward stage, Hinnamnor re-intensified under a weak warm eddy with a moderate moving speed (3.6–5.4 m/s). An intriguing leftward bias in SST cooling occurred due to the preexisting cold eddy (CE) on the left side of the track. Analysis of the Argo floats in the RI and RW regions showed that the enhanced upwelling and vertical mixing yielded more significant SST cooling in the CE region at the RW stage due to the CE and low translation speed (<2 m/s). The differences between the RI and RW regions were remarkable when using the Hybrid Coordinate Ocean Model (HYCOM) global ocean model output.

Diasporas and Political Instability

Abstract Many studies have been published during the past decades highlighting the role played by diasporas in conflicts raging in their home countries and on the links between diasporas and international terrorism. Contemporary literature treats the links between diasporas and conflicts in a simplistic manner. For instance, little space is dedicated to determining the effect of diaspora on political instability in the home country. The current study aims to assess the effect of diasporas on political instability in Africa, taking into consideration the role of geographical distance when choosing the destination countries. To achieve this goal, we use two models to test our hypothesis. First, we deploy a gravity model to investigate the destination choice of migrants who build a diaspora. Based on their destination, we then use a fixed effects model and the generalised method of moment (GMM) to analyse the effects of the diaspora on political instability. Overall, we aim to research whether there is a correlation between migrant communities and the political stability in their origin countries. Our findings suggest that diaspora can act as a feedback factor to existing situations by either increasing or decreasing political instability dependent on the initial state the country was in, even though the greatest contribution of diasporas is in terms of peace not of war.

Investigating English-Majored Students’ Levels of Satisfaction with Their Internship Experiences: A Case Study at Ho Chi Minh City University of Economics and Finance

This study aims to explore English-majored students’ perceptions of the value of internship and their levels of satisfaction with regard to three workplace dimensions including job characteristics, work environment characteristics, and contextual factors. Fifty interns from the Faculty of English at Ho Chi Minh City University of Economics and Finance (UEF) participated in this project. Data were collected through questionnaires and then quantitatively and qualitatively analyzed. The results indicated that the majority of the interns had positive perceptions of the internship experience and demonstrated their maturity and responsibility. The students also expressed high satisfaction with job characteristics, specifically skill variety, autonomy, feedback, and work-related factors such as co-workers and supervisor support. However, they were somehow dissatisfied with contextual elements such as the working hours and compensation. These findings can assist academic institutions, academic supervisors and host companies in providing students with effective internship experience and enhancing their workplace skills.&#x0D;

Improving Li-ion battery health: Predicting remaining useful life using IWBOA-ELM algorithm

The prediction of Li-ion battery remaining useful life (RUL) is primarily used to prevent battery health damage caused by overcharging and discharging Li-ion batteries, which is critical for secondary battery life applications. To accurately predict the RUL of Li-ion batteries, a prediction method based on the improved black widow algorithm and extreme learning machine (IWBOA-ELM) is proposed in this paper. Because of the single method of black widow spider seeking, this paper employs the Archimedean spiral (AR) method to improve the search method of the BWOA algorithm and the global search capability of the BWOA algorithm; this is done to prevent the BWOA algorithm from being prone to failure. To avoid the problems of local optimal solutions and premature convergence that plague the BWOA algorithm, this paper employs the Golden-Sine strategy (Golden-SA) to update the positions of individual black widow spiders. Furthermore, for the cyclic trend of Li-ion batteries, this paper proposes an adaptive feedback factor to increase the convergence coefficient and control the early convergence rate while adapting to different battery capacity data. By comparing the outcomes of some CEC2017 test functions, the upgraded IBWOA performs well in determining the optimal. Finally, the IWBOA-ELM model is validated using NASA data, and the RUL prediction is performed under three scenarios: constant current discharge at different temperatures, constant current discharge at room temperature, and random current discharge at room temperature, with the results compared to the conventional method. The results reveal that the IWBOA-ELM method's RMSE error of RUL prediction is lower than that of other algorithms, indicating that IWBOA-ELM has strong generalization and robustness.