Insufficient Power Research Articles

Replicating Camera Perspective Bias in the Japanese Justice System

AbstractThe camera perspective of recorded video interrogations has been shown to influence judgments concerning confession voluntariness; this is a phenomenon known as camera perspective bias (CPB), originally reported by Lassiter and Irvine (1986). When comparing perspectives where the suspect is visible (suspect‐focused), the detective is visible (detective‐focused), and both are visible (equal‐focused), the perceived voluntariness of a confession was greatest under the suspect‐focused condition and lowest under the detective‐focused condition. However, research conducted under the Japanese recording style by Nakata et al. (2018), using a dual‐presentation format, yielded inconsistent results, possibly because of insufficient statistical power. To address this issue, our study investigated the occurrence of CPB under the Japanese recording style with sufficient power. In Experiment 1, we aimed to replicate Nakata et al.'s (2018) study using the same mock interrogation materials. In Experiment 2, we aimed to replicate the original study conducted under the Japanese recording style. However, we did not find any evidence supporting the presence of CPB. These results suggest that CPB may not be robust, at least under the Japanese recording style.

Effects and Safety of 5% Lifitegrast Ophthalmic Solution in Patients With Dry Eye Disease Associated With Ocular Graft-Versus-Host Disease.

Introduction Graft-versus-host disease (GVHD) is a common sequela of hematopoietic stem cell transplant (HSCT). While HSCT is often curative for certain hematologic malignancies, acute and chronic GVHD remains an important cause of morbidity and mortality in post-transplant patients. Ocular involvement is one manifestation of chronic GVHD that can present similarly to chronic dry eye with tear film abnormalities, aqueous deficiency, and corneal epithelial defects through melting and perforation. Current management includes frequent use of artificial tears and oral or topical glucocorticoids as tolerated. There is a need for long-term, steroid-sparing therapeutics in the management of ocular GVHD (oGVHD). Lifitegrast is approved for the treatment of chronic dry eye and may have therapeutic potential in the treatment of oGVHD. The aim of this study was to investigate the efficacy and safety of topical lifitegrast in the management of oGVHD. Methodology A prospective randomized clinical trial (NCT04792580) was performed on 32 enrolled patients with diagnosed oGVHD. Subjects underwent a two-week washout period consisting of preservative-free artificial tears dosed twice a day, after which they were randomized to the treatment arm (5% lifitegrast ophthalmic solution) or placebo arm (vehicle solution) for four weeks. Endpoints included Symptom Assessment iN Dry Eye (SANDE) score, unanesthetized Schirmer score, Ocular Surface Disease Index questionnaire score, fluorescein staining, tear film breakup time, meibum quantity, and turbidity. Safety endpoints included intraocular pressure, visual acuity, and rate of treatment-related adverse effects. Statistical analysis was done with a t-test or Wilcoxon rank-sum test. Results The primary and secondary efficacy endpoints were met, with statistically significant reductions in mean SANDEand unanesthetized Schirmer score observed at four weeks post-randomization. No serious adverse events related to the use of either lifitegrast or vehicle were observed, and no worsening of visual acuity or intraocular pressure occurred in the intention-to-treat analysis. However, further inference was limited due to insufficient statistical power owing to significant washout and a 50% dropout rate from the all-enrolled analysis set. The most common causes of study dropout were worsening of unrelated medical conditions (not GVHD) and improvement of SANDE score or Schirmer score outside of the inclusion criteria range during the washout period. Conclusions Lifitegrast may be a useful steroid-sparing agent in the long-term management of oGVHD. This study provides further support for the clinical evidence of lifitegrast in the management of dry eye signs and symptoms, although further sufficiently powered clinical trials are warranted to better understand its efficacy in the oGVHD population. Personalized treatment options targeting distinct manifestations of oGVHD in the cornea, tear film, lid margin, and conjunctiva are needed in the effective management of this multifaceted and complex disease.

A training protocol compliance of 13% was observed in a research study of clinical research professionals

ObjectiveWe attempted to conduct a randomized controlled trial of three different informed consent training formats to evaluate their effectiveness. We recruited 503 clinical research professionals, who received $50 for participation. Incidental findings showed unexpectedly low rates of compliance with completing the study training protocols, resulting in insufficient statistical power to test our original hypotheses. In this report, we conducted a secondary analysis of the data in which we characterize and evaluate the observed low compliance. This involved using literature on average reading times, speed-reading times, and video play speeds to calculate the timeframes required to complete the three training formats.ResultsOnly 13% of participants completed the training in a reasonable timeframe. Furthermore, only 46% of participants completed the training in the minimum possible timeframe. These findings lead us to ask whether online research training is effective, since no training can be effective if participants do not actually complete the training. Given extensive requirements for educational training among clinical research professionals, we feel the burden of proof is on training programs to demonstrate that they have positive effects.

Addressing neurosurgical challenges in war conflict countries.

The Russo-Ukrainian war caused significant humanitarian and healthcare issues in the Russo-Ukrainian region, which were further aggravated by the escalation of the conflict on February 2022. Because of this ongoing confrontation between the two nations, which has its roots in geopolitical conflicts and historical events, there have been nearly 4million refugees in only the first month, and 906 healthcare institutions have sustained significant damage. Consequently, the demand for medical services has increased, adding onto the burden of the pre-existing problems within the region's healthcare system, such as inequities, budget shortages, and corruption. With nearly 500,000 military deaths and an estimated 27,1499 civilian casualties, the war's immediate health effects are devastating. Due to inadequate disease surveillance and difficulties with immunization, the risk of infectious illnesses, particularly HIV/AIDS and tuberculosis, increased. Although there were originally few mental health problems, the long-term effects are yet unknown. Some of the indirect effects are the severe refugee situation, the burden on public infrastructure, and problems with the security of food and water. Unprecedented obstacles confronted neurosurgery in the Russo-Ukrainian region, including increased patient loads from war-related cases, resource limitations, and facility devastation. Many countries stepped up to aid in managing neurosurgeries however, the some of the problems still persisted, such as insufficient sterility and power outages. Strengthened security standards, financial incentives, telemedicine services, and cooperation with international medical organizations are the main points of recovery recommendations. Rebuilding the region's healthcare system and guaranteeing ongoing foreign support after the conflict require a comprehensive strategy that addresses both short- and long-term issues.

Review of supercapacitor technology and applications

While the world population is increasing day by day, environmental problems are reaching a level that cannot be ignored. Environmentalist steps are being taken in many areas, and governments are resorting to sanctions. It aims to reduce fossil fuel use as an environmental step in the transportation industry. Increasing the use of electric vehicles will be significant progress in achieving this goal. Batteries are generally used to store energy in electric vehicles. However, besides the weight problem and insufficient power density of the batteries, they have disadvantages, such as being produced from environmentally harmful materials. In this context, new energy storage technologies are being researched. One of them is “supercapacitor” technology. This paper is a review article examining several aspects of supercapacitors.

Additive manufacturing of functionally graded stellite6/17-4 PH fabricated via direct laser deposition

Multi-material structures with variable functionalities can lead to unique solutions for engineering problems compared to single-material structures. Additive manufacturing of Functionally Graded Materials (FGMs) using Direct Laser Deposition for the multi-material deposition of Stellite6 and 17–4 PH stainless steel has been investigated in this study. Process parameter design was successfully applied to achieve FGM structures with expected composition ratio and defect free. Results revealed that clads with insufficient laser power had unmelted 17-4 PH powders, while those with excessive power resulted in micro-cracks and disrupting the expected composition for the previous layer. Energy Dispersive Spectroscopy analysis results showed that the composition was almost as expected, with less than 10% deviation. The Stellite6 composition in FGM exhibits a minimum ratio near the substrate due to the penetration of 17-4 PH elements. Meanwhile, in multi-track clads, the Stellite6% decreases along the transverse direction due to increased heat input, multiple cladding tracks, higher dilution, and slower solidification rate. The results of the micro-hardness tests illustrated the gradual evolution of micro-hardness along the build direction starting from the base metal, which had a hardness of approximately 300 HV for 17-4 PH and for the compositions of 25%, 50%, 75%, and 100% Stellite6 showed increases of 10%, 39%, 43%, and 63% respectively, reaching up to 490 HV for fully Stellite6 at the top of the specimen.

A multi-objective collaborative planning method for a PV-powered hybrid energy system considering source-load matching

A hybrid system including photovoltaic panels, an air-source heat pump, batteries, and a hot water tank is proposed to satisfy the building’s demands. To discover the optimal energy scheduling scheme, a multi-objective two-stage planning method is developed. In the first stage, considering the seasonal fluctuations of photovoltaic power and the loads, several operation modes are designed. Moreover, the influence of objective functions with and without the energy self-consumption (SCR) and self-sufficiency rate (SSR) on the system configuration is analyzed. The second stage aims to explore the synergetic benefits with demand response, in which the hourly loads are reconstructed accounting for the municipal tariffs. The results show that when accounting for the annual cost (AC) and primary energy (PE), the ideal operation mode is as follows: favor thermal storage during periods of energy surplus and prioritize discharging electricity in winter and heat in summer in cases of insufficient power. When considering the SCR and SSR additionally, storing heat in summer with charging batteries in winter is preferred when excess energy is available. Otherwise, give priority to thermal storage. Furthermore, based on the proposed energy scheduling scheme, the AC, PE, SCR, and SSR are improved by −31.1 %, −19.4 %, +1.5 %, and +11.3 %, respectively.

Calculating the power of a planned individual participant data meta-analysis to examine prognostic factor effects for a binary outcome.

Collecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned IPDMA before collecting IPD. Here we propose a method to estimate the power of a planned IPDMA project aiming to synthesise multiple cohort studies to investigate the (unadjusted or adjusted) effects of potential prognostic factors for a binary outcome. We consider both binary and continuous factors and provide a three-step approach to estimating the power in advance of collecting IPD, under an assumption of the true prognostic effect of each factor of interest. The first step uses routinely available (published) aggregate data for each study to approximate Fisher's information matrix and thereby estimate the anticipated variance of the unadjusted prognostic factor effect in each study. These variances are then used in step 2 to estimate the anticipated variance of the summary prognostic effect from the IPDMA. Finally, step 3 uses this variance to estimate the corresponding IPDMA power, based on a two-sided Wald test and the assumed true effect. Extensions are provided to adjust the power calculation for the presence of additional covariates correlated with the prognostic factor of interest (by using a variance inflation factor) and to allow for between-study heterogeneity in prognostic effects. An example is provided for illustration, and Stata code is supplied to enable researchers to implement the method.

Evaluation of safety outcomes between nivolumab regimens with differing dosing patterns.

Real-world safety outcomes between the two flat-dose nivolumab regimens demonstrated to be similar in a study of adjuvant nivolumab recipients for melanoma. However, this study was limited by a single oncology patient population, a small sample size, and insufficient study power. The primary objective of this study was to evaluate the incidence of immunotherapy-related adverse effects (irAEs) between nivolumab regimens with differing dosing patterns in various solid tumor patient populations. Single-center retrospective cohort study of adult patients with solid tumor malignancies who received nivolumab 240 mg Q2W or 480 mg Q4W, or who were transitioned from 240 mg Q2W to 480 mg Q4W from March 1, 2018 to March 31, 2022 were selected for analysis from an electronic health record generated report. The primary endpoint evaluated was the incidence of irAEs. Secondary endpoints included the incidence of significant irAEs and reasons for treatment discontinuation. These endpoints were compared by univariate analysis between all three cohorts. A multivariate analysis was then conducted for the primary endpoint. Nivolumab 240 mg Q2W was associated with a statistically significant increase in the incidence of colitis whereas the 480 mg Q4W regimen was associated with a statistically significant increase in the incidence of pruritis. The incidence of irAEs was not different between the three cohorts, while the incidence of significant irAEs was higher in the 240 mg Q2W and 240 mg Q2W to 480 mg Q4W cohorts. Clinicians ought to be aware of differences in the irAE profiles between nivolumab regimens with differing dosing patterns.

Snow Depth Estimation and Spatial and Temporal Variation Analysis in Tuha Region Based on Multi-Source Data

In the modelling of hydrological processes on a regional scale, remote-sensing snow depth products with a high spatial and temporal resolution are essential for climate change studies and for scientific decision-making by management. The existing snow depth products have low spatial resolution and are mostly applicable to large-scale studies; however, they are insufficiently accurate for the estimation of snow depth on a regional scale, especially in shallow snow areas and mountainous regions. In this study, we coupled SSM/I, SSMIS, and AMSR2 passive microwave brightness temperature data and MODIS, TM, and Landsat 8 OLI fractional snow cover area (fSCA) data, based on Python, with 30 m spatially resolved fractional snow cover area (fSCA) data obtained by the spatio-temporal dynamic warping algorithm to invert the low-resolution passive microwave snow depths, and we developed a spatially downscaled snow depth inversion method suitable for the Turpan–Hami region. However, due to the long data-processing time and the insufficient arithmetical power of the hardware, this study had to set the spatial resolution of the result output to 250 m. As a result, a day-by-day 250 m spatial resolution snow depth dataset for 20 hydrological years (1 August 2000–31 July 2020) was generated, and the accuracy was evaluated using the measured snow depth data from the meteorological stations, with the results of r = 0.836 (p ≤ 0.01), MAE = 1.496 cm, and RMSE = 2.597 cm, which are relatively reliable and more applicable to the Turpan–Hami area. Based on the spatially downscaled snow depth data produced, this study found that the snow in the Turpan–Hami area is mainly distributed in the northern part of Turpan (Bogda Mountain), the northwestern part of Hami (Barkun Autonomous Prefecture), and the central part of the area (North Tianshan Mountain, Barkun Mountain, and Harlik Mountain). The average annual snow depth in the Turpan–Hami area is only 0.89 cm, and the average annual snow depth increases with elevation, in line with the obvious law of vertical progression. The annual mean snow depth in the Turpan–Hami area showed a “fluctuating decreasing” trend with a rate of 0.01 cm·a−1 over the 20 hydrological years in the Turpan–Hami area. Overall, the spatially downscaled snow depth inversion algorithm developed in this study not only solves the problem of coarse spatial resolution of microwave brightness temperature data and the difficulty of obtaining accurate shallow snow depth but also solves the problem of estimating the shallow snow depth on a regional scale, which is of great significance for gaining a further understanding of the snow accumulation information in the Tuha region and for promoting the investigation and management of water resources in arid zones.

Does energy transformation improve green development efficiency? Evidence from Sichuan Province, China

Green sustainable development has become an important topic of concern to human society.Energy clean and low-carbon transformation is an important lever for promoting regional green development. Investigating the driving mechanisms of energy transformation is helpful to explore the effective path for accelerating the process of green development. Meanwhile, Sichuan Province is a demonstration province of clean energy and an important energy transportation hub in China, and it should play an exemplary role in the process of high-quality development. In this regard, this study uses the two-stage super-efficiency network SBM model to measure the green development efficiency based on the dual perspectives of green production and environmental governance. Based on historical data from 2006 to 2022, Technological innovation, industrial structure, and foreign direct investment are selected as transmission variables, and the fixed effects regression model is used to empirically analyse the direct and indirect impact effects of ET on GDE. The results show that the green development efficiency in Sichuan Province has gradually increased from 0.8303 in 2006–0.9270 in 2022, which is at a relatively high level. Energy transformation is helpful to improve the green development efficiency in Sichuan Province. However, due to insufficient complementary power sources and challenges in balancing energy supply and demand, the incentive level needs to be strengthened. Technological innovation, industrial structure, and foreign direct investment show indirect heterogeneous transmission effects in the process of influence.

Adsorption promoted heterogeneous catalytic ozonation for removing emerging contaminations: The intrinsic correlations with biochar properties and complementary effect of adsorption and ozonation processes

The increasingly strict standards for petrochemical wastewater treatment and the increasing attention to emerging contaminations (ECs) have exacerbated the problems of limited activity, insufficient mass transfer power and poor pH stability faced by ozonation processes. Adsorption promoted heterologous catalytic ozonation (HCOAP) based on Enteromorpha prolifera-based biochar (EpC) is a clean and efficient technology to overcome the above problems. By exploring the detailed conversion pathways of N, O functional groups during pyrolysis, EpC2-650 with optimal HCOAP activity is obtained, which has the best complementary effect during ECs removal due to the alternating change between adsorption and heterogeneous ozonation processes under different conditions. Besides dominant functional groups, the HCOAP reactivity is also influenced by surface electrostatic potential, CDD (atomic reactivity), and frontier molecular orbital of ECs. Among the representative advantageous structure, the 2p orbitals hybridization on the bonding states orbital and the close charge exchange between pyrrolic-N and *O3 (EA-O3 = -2.9 eV) promote the formation of *O and reduce ROS generation barrier. Specifically, EpC2-650-HCOAP system has the highest production of ⋅OH and ⋅O2-, and maintaining a stable ECs removal rate with only a 3.17 % variation for TC and a 2.93 % variation for PNP across a pH range of 6.5 to 9. Additionally, it achieves higher treatment efficiency for petrochemical wastewater than ozonation and adsorption systems. This study provides reference for the activity prediction of biomass materials, and highlights the potential of ozonation progress in the efficient and stable application for treating ECs.

O-205 Dydrogesterone versus micronized vaginal progesterone for luteal phase support in hormone replacement therapy frozen embryo transfer cycles (REMODEL): an exploratory randomized controlled trial

Abstract Study question Is dydrogesterone (DYD) comparable to micronized vaginal progesterone (MVP) for luteal phase support (LPS) in hormone replacement therapy frozen embryo transfer (HRT-FET) cycles? Summary answer Ongoing pregnancy rates (OPR) at 12 weeks’ gestation were comparable between the study group using DYD and the control group using MVP. What is known already Thanks to vitrification, the number of frozen embryo transfer cycles has significantly increased, prompting for a thorough optimization. Few studies have prospectively compared different progesterone regimens in artificial frozen embryo transfer cycles. Currently, MVP is most commonly used for LPS in this setting, but side effects such as vaginal discharge cannot be neglected. Dydrogesterone, a selective progesterone receptor agonist with a high oral bioavailability, could be considered due to its more patient-friendly administration. Two randomized controlled trials confirmed the non-inferiority of dydrogesterone to MVP for LPS in fresh cycles, but robust data on its use in HRT-FET cycles remain limited. Study design, size, duration An exploratory randomized controlled trial was conducted at a university hospital from October 2021 to September 2023. Subjects were randomly allocated 1:1 to the study group using DYD (10mg three times daily) for LPS or the control group using MVP (2x200mg twice daily), all performing FET in a HRT cycle. The primary outcome was ongoing pregnancy rate at 12 weeks (OPR). Secondary objectives included biochemical pregnancy loss, early pregnancy loss (EPL) and live birth rate. Participants/materials, setting, methods Patients under 41 years of age with a normal BMI undergoing a single blastocyst transfer in a HRT-FET cycle without endometrial abnormalities were eligible for inclusion. Patients who required more than 14 days of estradiol valerate priming (2mg three times daily) to achieve an endometrial thickness of at least 7 mm were not included. Of the 170 patients screened, 19 did not meet the randomization criteria and 3 withdrew after randomization. Main results and the role of chance Demographic characteristics such as age, BMI, cause of infertility and regular cycle were comparable between the study and control groups, as were the frozen transfer cycle characteristics. With three drop-outs after randomization, both a per-protocol (PP) and an intention-to-treat (ITT) analysis were performed for the primary outcome. According to the PP analysis, the OPR was 31.5% in the study group and 45.3% in the control group (p = 0.08, difference in proportions (%) -14, 95% CI: -39-11). The ITT analysis showed similar results (OPR 31.1% versus 44.2% in the study and control groups, respectively, p = 0.10). Multivariate regression adjusting for age, BMI, endometrial thickness and parity showed no significant association between the type of LPS administered and OPR (OR 1.92, 95% CI 0.95-3.86, p = 0.07). Positive hCG rates were comparable between both groups (58.9% versus 61.3% in the study and control groups, p = 0.76). Differences in biochemical pregnancy loss (14.0% versus 2.2% in the study and control groups, respectively, p = 0.05) and EPL (32.6% versus 23.9% in the study and control groups, respectively, p = 0.37) did not reach statistical significance. The live birth rate did not differ significantly between the two groups (26.8% versus 41.9%, p = 0.06), but the delivery outcome of 3 patients is missing to date. Limitations, reasons for caution Despite the randomized nature of the study, the exploratory design warrants cautious interpretation of the results due to the primary outcome’s insufficient statistical power. The dosages of the LPS medication used are based on common clinical practice, but due to the absence of dose-finding studies, this may impact the results. Wider implications of the findings The results, although not statistically significant, may raise clinical implications and call for larger studies. A forthcoming analysis will assess progesterone levels throughout the cycle in these study patients, examining their impact on pregnancy outcomes. Given differences in pharmacological profiles, various dosages may also be explored. Trial registration number NCT04758871

False claims of equivalence in the neurosurgical trauma literature: prevalence and associated factors—a systematic review protocol

IntroductionResearch quality within the neurosurgical field remains suboptimal. Therefore, many studies published in the neurosurgical literature lack enough statistical power to establish the presence or absence of clinically important differences...

The evaluation of a stepped care approach for early intervention of borderline personality disorder

BackgroundThe current study evaluated the stepped care approach applied in AtR!Sk; a specialized outpatient clinic for adolescents with BPD features that offers a brief psychotherapeutic intervention (Cutting Down Program; CDP) to all patients, followed by a more intensive Dialectical Behavioral Therapy for Adolescents (DBT-A) for those whose symptoms persist.MethodsThe sample consisted of 127 patients recruited from two AtR!Sk clinics. The number of BPD criteria, psychosocial functioning, severity of overall psychopathology, number of days with non-suicidal self-injury (NSSI; past month), and the number of suicide attempts (last 3 months) were assessed at clinic entry (T0), after CDP (T1), and at 1- and 2-year follow-up (T2, T3). Based on the T1 assessment (decision criteria for DBT-A: ≥ 3 BPD criteria & ZAN-BPD ≥ 6), participants were allocated into three groups; CDP only (n = 74), CDP + DBT-A (eligible and accepted; n = 36), CDP no DBT-A (eligible, but declined; n = 17).ResultsCDP only showed significantly fewer BPD criteria (T2: β = 3.42, p < 0.001; T3: β = 1.97, p = 0.008), higher levels of psychosocial functioning (T2: β = -1.23, p < 0.001; T3: β = -1.66, p < 0.001), and lower severity of overall psychopathology (T2: β = 1.47, p < 0.001; T3: β = 1.43, p = 0.002) over two years compared with CDP no DBT-A, while no group differences were found with regard to NSSI and suicide attempts. There were no group differences between CDP + DBT-A and CDP no DBT-A, neither at T2 nor at T3.DiscussionThe findings support the decision criterion for the offer of a more intense therapy after CDP. However, there was no evidence for the efficacy of additional DBT-A, which might be explained by insufficient statistical power in the current analysis.

Energy Management Strategy of Microgrid based on Photovoltaic and Energy Storage System in Construction Area of Sichuan-Tibet Railway

The construction area of the Sichuan-Tibet Railway is located at a high altitude with thin air condition, but it benefits from excellent solar irradiance. To address issues such as insufficient power and low efficiency of traditional fuel-based equipment in such harsh environments, electric equipment is being employed as a replacement for conventional fuel-based equipment. In order to achieve sustainable development for the Sichuan-Tibet Railway, this article proposes that a microgrid can be conducted in the construction area of the Sichuan-Tibet Railway which will provide power to the electric equipment during the construction process and to electric locomotives upon completion. This article compares the characteristics of AC microgrids and DC microgrids, analyses and simulates the mathematical model of key converters, and introduces their control strategies. This article adopts a hybrid AC-DC microgrid for research purposes and proposes a time-period-controlled energy management strategy for the photovoltaic-storage hybrid AC-DC microgrid in the construction area of the Sichuan-Tibet Railway. The simulation results demonstrate that the AC-DC microgrid in the construction area based on the proposed time-period-controlled energy management strategy could effectively meet the load demands of different time periods and provides power to the electric equipment used in the construction area of the Sichuan-Tibet Railway.

Identification of User Requirements and their Influencing Factors Based on Online Reviews and Operational Data

It is crucial for enterprises to clearly identify user needs during the process of formulating product design improvement plans. Therefore, it is essential to comprehensively and accurately identify user needs, explore the reasons behind the emergence of these needs, and incorporate user opinions into the process of product design improvement. A method is proposed to comprehensively and accurately capture user requirements and address the challenge of identifying the underlying causes of user requirements. This method utilizes online comments and operational data to identify user requirements and their influencing factors. First, text sentiment analysis techniques are employed to quantify the importance and performance values of product feature topics. Second, we construct a quadrant model to identify product features requiring improvement, and the original negative comments related to these features are traced. However, the quadrant model alone is insufficient to reflect specific product issues that users are concerned about. Therefore, a functional structure model based on product issues is designed to filter and identify factors that influence user requirements using operational data. Finally, a Bayesian network inference approach is utilized to identify the key influencing factors on user requirements, enabling analysis of the causes behind user requirements and the proposal of product design improvement strategies. The feasibility and effectiveness of the proposed method are validated through experiments conducted on heavy-duty truck data. By analyzing the original negative comments related to the power characteristics, specific user demands regarding the insufficient power of the product were identified, such as “obviously insufficient power when climbing slopes” and other issues. Based on the vehicle power system functional structure model, combined with expert knowledge and operational data, factors related to the state of parts and user behavior that may affect “insufficient vehicle power” were identified. Based on the analysis results, suggestions were made to improve the engine intake air temperature control strategy and to enhance vehicle performance by promoting correct user behavior through informational campaigns.

Robust, Efficient, and Recoverable Thermocells with Zwitterion‐Boosted Hydrogel Electrolytes for Energy‐Autonomous and Wearable Sensing

AbstractThe rapid growth of flexible quasi‐solid‐state thermocells (TECs) provides a fresh way forward for wearable electronics. However, their insufficient mechanical strength and power output still hinder their further applications. This work demonstrates a one‐stone‐two‐birds strategy to synergistically enhance the mechanical and thermoelectrochemical properties of the [Fe(CN)6]3−/4−‐based TECs. By introducing Hofmeister effect and multiple non‐covalent interactions via betaine zwitterions, the mechanical strength of the conventional brittle gelatin hydrogel electrolytes is substantially improved from 50 to 440 kPa, with a high stretchability approaching 250 %. Meanwhile, the betaine zwitterions strongly affect the solvation structure of [Fe(CN)6]3− ions, thus enlarging the entropy difference and raising the thermoelectrochemical Seebeck coefficient from 1.47 to 2.2 mV K−1. The resultant quasi‐solid‐state TECs exhibit a normalized output power density of 0.48 mW m−2 K−2, showing a notable improvement in overall performance compared to their counterparts without zwitterion regulation. The intrinsic thermo‐reversible property also allows the TECs to repeatedly self‐recover through sol‐gel transformations, ensuring reliable energy output and even recycling of TECs in case of extreme mechanical damages. An energy‐autonomous smart glove consisting of eighteen individual TECs is further designed, which can simultaneously monitor the temperature of different positions on any touched object, demonstrating high potential in wearable applications.

Robust, Efficient, and Recoverable Thermocells with Zwitterion-Boosted Hydrogel Electrolytes for Energy-Autonomous and Wearable Sensing.

The rapid growth of flexible quasi-solid-state thermocells (TECs) provides a fresh way forward for wearable electronics. However, their insufficient mechanical strength and power output still hinder their further applications. This work demonstrates a one-stone-two-birds strategy to synergistically enhance the mechanical and thermoelectrochemical properties of the [Fe(CN)6]3-/4--based TECs. By introducing Hofmeister effect and multiple non-covalent interactions via betaine zwitterions, the mechanical strength of the conventional brittle gelatin hydrogel electrolytes is substantially improved from 50 to 440 kPa, with a high stretchability approaching 250 %. Meanwhile, the betaine zwitterions strongly affect the solvation structure of [Fe(CN)6]3- ions, thus enlarging the entropy difference and raising the thermoelectrochemical Seebeck coefficient from 1.47 to 2.2 mV K-1. The resultant quasi-solid-state TECs exhibit a normalized output power density of 0.48 mW m-2 K-2, showing a notable improvement in overall performance compared to their counterparts without zwitterion regulation. The intrinsic thermo-reversible property also allows the TECs to repeatedly self-recover through sol-gel transformations, ensuring reliable energy output and even recycling of TECs in case of extreme mechanical damages. An energy-autonomous smart glove consisting of eighteen individual TECs is further designed, which can simultaneously monitor the temperature of different positions on any touched object, demonstrating high potential in wearable applications.

Innovative Strategies Toward Compact, Highly Stretchable, and Fully Transient Primary Batteries with Enhanced Electrical Output for Wearable Electronics

AbstractBalancing stretchability and degradability in batteries based on the primary battery principle, while maintaining robust discharging performance, poses a significant challenge for sustainable wearable technologies. Current reports adopting a layered stack structure often suffer from inadequate interlayer adhesion, leading to problems such as out‐of‐plane bending and delamination, as well as insufficient power density and energy density. In this context, a novel and straightforward methodology is introduced, employing in situ oxidation of molybdenum foil, a customized kirigami‐island‐bridge (KIB) structure, and an overall cast molding technique. This approach facilitates the integration of degradable primary batteries with enhanced power density (3.41 mW cm−2) and energy density (3.54 mWh cm−2). Furthermore, the battery sustains an output of 50 µA cm−2 under cyclic 20% strain stretching for ≈3 h, showcasing its specific stretchability performance, and is successfully implemented in sensors for real‐time monitoring of body movements. This study presents a novel approach to the development of wearable, biodegradable, and medical electronics, offering potential pathways for sustainable technological advancement.