Great Impact Research Articles

A Recursive Optimization Approach for Buffer Allocation in Large Production Lines

Buffer allocation is a critical issue in the design stage of manufacturing systems, as buffer capacities may have a great impact on system performance. In this paper, we consider the problem of minimizing the total buffer capacity of a flow line to achieve a desired production rate. A recursive optimization approach is proposed to solve the problem in large production lines. Instead of optimizing a long line directly, the proposed approach decomposes it into two sub-lines, optimizes them recursively, and combines their solutions to find the optimal buffer distribution of the original line. Two different recursive algorithms are developed and their performance is demonstrated by comparing them with a gradient search algorithm. The numerical results show that the recursive algorithms are almost as accurate as the gradient algorithm, but much more efficient, especially for large production lines.

Assembly Mechanism of Rhizosphere Fungi in Plant Restoration in Lead Zinc Mining Areas.

So far, the assembly and response mechanism of soil fungi in the ecological restoration process of lead zinc mines is still unclear. In this study, we selected three plants for the ecological restoration of abandoned lead zinc mining areas and explored the community assembly mechanism by which soil fungi assist plants in adapting to the environment during the ecological restoration process. The results revealed that the mining of lead zinc mines led to a significant decrease in soil fungal diversity, whereas the planting of three plants significantly increased the diversity of rhizosphere fungi. Mining activities significantly reduced the abundance of soil Fusarium, Macroventuria, Cladosporium, and Solicocozyma and increased the abundance of soil Helvella. After three ecologically restored plants were planted, the abundances of Fusarium and Cladosporium increased significantly, whereas the abundance of Helvella decreased significantly. In addition, Capronia was significantly enriched in the rhizosphere soils of three plant species in the mining area. β diversity and fungal guild analysis revealed that mining activities had a great impact on fungal communities and guilds. The ecological restoration of plants changed the guilds of rhizosphere fungi, making them closer to those of the control sample. In addition, the endophyte guild was significantly enriched in the rhizosphere soil of three ecologically restored plants, increasing their adaptability. The results provide a reference for screening lead zinc mine bioremediation strains and developing fungal plant joint remediation strategies.

TENNIS GEAR

Tennis equipment is one of the most important aspects of the game of tennis. Often, tennis equipment has a massive impact on how a tennis match plays out, or how the style of play evolves, even if it's less visible. Among the essential components of tennis equipment are the tennis balls and rackets. Complementing these elements is the playing surface, a critical determinant in the game of tennis. This paper aims to demonstrate the evolution of tennis equipment in the importance of quality tennis history over time and how advanced technology has or has not influenced the style of play and its speed. The discernible evolution of tennis balls, encompassing variations in size and materials, has significantly shaped the sport. Similarly, the modernization of racket design and strings, incorporating diverse materials–synthetic or natural–has ushered in a new era of heightened intensity in tennis, characterized by increased speed and power. In the same context, another key element is the playing surface, more precisely the four main surfaces, hard (or cement), clay, grass and carpet, which contributed to changing the game of tennis and its speed, stimulated by the importance of the materials used to create, or the way of maintenance of these surfaces. Finally, in this paper, we will see how tennis modernization had a great impact on the production of tennis balls and the evolution of the way rackets are made, to which is added the composition of materials used in the creation or maintenance of playing surfaces, have led to a marked transformation of the tennis game. It will also elucidate how these changes have often elicited both acclaim and discontent among professional tennis players and, in certain instances, contributed to injuries.

Strategic Renewal and its Impact as a Mediating Variable between Core Capabilities and Kuwait University as Organizational Ambidexterity

This study aims to identify the level of strategic renewal at Kuwait University and its impact as a mediating variable on core capabilities and its role in forming the university as an organizational ambidexterity. The study follows the descriptive approach with its correlational design to achieve this goal. The questionnaire is used as a tool for the study, and it was applied to a sample of (47) leaders at Kuwait University. Using the appropriate statistical tools, the study concludes several results, the most important of which are: (1) the level of management of core capabilities at Kuwait University is moderate; (2) the level of Strategic renewal is high in overall dimensions; (3) the level of formation of Kuwait University as a skilled organization is generally low in all dimensions; (4) the Strategic renewal variable plays the role of the mediating variable between the core capabilities and the fully skilled organization. In light of this, the study comes out with several recommendations, the most important of which is: paying attention to the good management of the core capabilities because of their great impact on Strategic renewal and the formation of the organizational ambidexterity. Keywords: Core Capabilities, Strategic Renewal, Organizational Ambidexterity, Kuwait University, Higher Education

Optimization of polishing fluid composition for single crystal silicon carbide by ultrasonic assisted chemical-mechanical polishing

Silicon carbide (SiC) is renowned for its exceptional hardness, thermal conductivity, chemical stability, and wear resistance. However, the existing process is difficult to meet the high standards of uniform corrosion in its polishing process and surface roughness and flatness after polishing, new polishing fluids and technique optimization are crucial for development. The study optimized and validated the composition of the polishing fluid used in ultrasonic-assisted chemical-mechanical polishing (UACMP). Abrasives significantly influenced the material removal rate (MRR) and surface roughness (Ra), contributing 67.63% and 56.43%, respectively. Organic bases and pH buffers significantly affected Ra, accounting for 19.66% and 21.44%, respectively. The optimum composition was determined, consisting of triethylamine (3wt%), potassium hydrogen phthalate (1wt%), a composite of silica and alumina abrasive particles (5wt%), and hydrogen peroxide (6wt%), which reduced the Ra from 95 nm to 3 nm. The MRR achieved 25.96 nm/min. In comparison to the 7 nm minimum roughness from the orthogonal test, the optimal scheme’s Ra was reduced by 57.14%, leading to a significant enhancement in overall surface quality. In this paper, a new type of additive is added to prepare the polishing liquid, which provides a new idea for the UACMP of SiC and has a great impact.

Effect of watering before slaughter and the evisceration method on the quality characteristics of fattened goose liver

The aim of this study was to investigate the effect of watering before slaughter and different evisceration methods on the quality characteristics of fattened goose liver. A total of randomly selected 60 male Greylag Landaise geese (Anser anser) were used to execute the experiment which had been force-fed during their growing period. In the slaughterhouse, randomized block design was followed and the birds were randomly divided into four experimental groups and half of the them (30 birds) were given 200 ml tap water. During the slaughter bleeding kinetics was measured and after the traditional processing steps (scalding, defeathering, waxing, water cooling, clearing of wax residues, rinsing, feet removal) 50 % of the birds (30 birds) were immediately eviscerated. The other half of the carcasses were eviscerated after 8 hours of cooling. Then pH and hemoglobin content were determined and the livers were vacuum packed and stored at -18 °C for 35 days (5 weeks). During this time color measurement and microbial analysis were taken. Results showed that pH was not influenced by neither the watering nor the evisceration methods. Hemoglobin content was significantly reduced by watering (P<0.001). Cold evisceration was proved to have siginificant effect on the color parameters (P<0.001), however the impact was not immediate, the difference was first detected on day 21. According to microbiological analysis four species were identified but none of them are known to produce hydrogen sulfide (H2S) which is required to the formation of sulfhemoglobin which compound is most likely responsible for the greenish discoloration occured during the storage.In summary, it can be stated that the evisceration method had a great impact on the color of fattened goose livers and undesirable changes - e.g. surface greening - which commonly occur in case of vacuum packed and frozen stored livers could be prevented by the application of warm evisceration.

On the Prevention and Control of Geological Disasters and the Utilization of Geological Environment

With the rapid development of the social economy, people's awareness of environmental protection is gradually increasing. This is because the probability of geographical disasters occurring in the country is also gradually increasing. People have also begun to pay attention to the prevention of geological disasters and the geological environment, because geological disasters can have a great impact on people's life safety at any time. Therefore, it is necessary to take corresponding preventive measures in advance for geological disasters. This article conducts a series of analyses on geological disasters and other related topics.

Influence of bolt preload degradation on nonlinear vibration responses of jointed structures

The clamping performance of bolted joints was gradually degrading under long-term vibration loads, which induced a great impact on the stick–slip friction contact behavior of bolted joint interfaces. In this paper, a time-varying Iwan model was developed to reproduce the tangential hysteresis behavior of bolted joint interfaces by considering preload degradation. A three-degree-of-freedom mass–spring-damper oscillator was numerically simulated to investigate the influence of preload degradation on nonlinear vibration responses, as well as the experimental investigations of a bolted joint structure. The comparison results showed that the proposed model could well describe the effects of preload degradation on the stick–slip friction contact behavior of bolted joint interfaces. The numerical results revealed the nonlinear effects of preload degradation on the frequency response functions (FRFs), which demonstrated good agreement with experimental results.

The burden of executive dysfunction after ischemic stroke (Bulgaria, 2019-2021)

Abstract Background Executive dysfunctions have great impact on behavior and quality of life in elderly. They also play important role for post-stroke functional outcome. The aim of our study was to examine the frequency, severity and types of executive dysfunctions at the third month after the ischemic stroke. Methods We examined 108 patients 3 months after ischemic stroke (66.67±9.03 years old, 66 males and 42 females) via 128-Wisconsin Card Sorting Test (WCST). WCST is a standardized instrument for detecting various executive dysfunctions. It is applicable for patients after stroke, because the test doesn’t require preserved arm motor functions. It measures global executive functioning (GEF), inhibitory control system (ICS), executive attention (EA), cognitive flexibility (CF) and working memory (WM). Our patients’ results were compared to the normal population test results. SPSS 24 was used for statistical analysis. Results Impaired GEF were found in 46% of our patients, most of them had mild or moderate impairment. One fourth of them showed impaired ICS, although the impairment in most of the cases was mild. EA deficits were found in 43% of our cases (17% had mild, 15% mild to moderate, 7% moderate and 4% severe impairment). WM dysfunction was found in 1/3 of them (the average result was about 27 percentiles; 29% had mild and 5% had mild to moderate deficits) and about ¼ of our patients had borderline results. CF was impaired in 68% of our patients (11% had mild, 28% mild to moderate, 16% moderate and 13% severe impairment). Conclusions GEF impairment is frequent after stroke. Patients had problems in ICS, EA, CF and WM. However, in most of the cases the dysfunction is mild or moderate and can be found only if it is actively searched and accessed. The most impaired functions were CF and EA. Patients with executive dysfunction require cognitive rehabilitation and specific social support. Key messages • Executive dysfunctions are frequent after ischemic stroke. The impairment is mild or moderate, but however it impacts the quality of life, behavior, prognosis and outcome of post-stroke survivors. • Patients with executive dysfunctions require specific cognitive rehabilitation and social support.

The burden of psoriasis in Belgium, 2021

Abstract Psoriasis is a common, chronic, inflammatory skin disease with a great impact on healthcare systems. Given the limitations of the currently available burden estimates, estimates of the Belgian national burden of disease study are necessary in order to guide decision-making processes within the health sector. According to the Global Psoriasis Atlas, the prevalence of psoriasis is rising globally. The current study aims to estimate the burden of psoriasis in Belgium using national data. As there is no single comprehensive data source on prevalence of psoriasis in Belgium, a critical appraisal of existing local and national data sources was conducted. We estimated the non-fatal psoriasis burden in terms of years lived with disability (YLD). Estimated prevalence data were combined with disability weights to yield YLDs imposed by psoriasis. Mortality attributable to psoriasis was assumed to be zero, in line with the Global Burden of Disease study (GBD) 2019. We assessed three data sources containing information on existing cases with psoriasis in Belgium. Based on qualitative and quantitative appraisal, a widespread network of general practitioners was identified as the best available national data source. In 2021, the prevalence of psoriasis in Belgium was 2.1%, leading to 13084 DALYs (113 DALYs per 100 000). The burden of psoriasis was in line with national disease burden estimates for bipolar disorder, multiple myeloma, and hearing loss. Our prevalence, YLD, and DALY estimates for psoriasis in Belgium were however lower than those of the GBD study. Psoriasis imposes a non-negligible burden on population health in Belgium, despite it not being a cause of death. Along progression in psoriasis management, objective evaluation of psoriasis burden is critical to track the trends at the population level. Key messages • Psoriasis is a common skin disease with a relatively high morbidity burden. • Information on psoriasis prevalence and burden are crucial for disease management and appropriate health-care planning.

Phosphoproteomics of PLN R14del heart tissue reveals major myocyte degenerate phenotype, and is attenuated by PLN antisense treatment in vitro

Abstract Background/Purpose: Phospholamban (PLN) p.Arg14del (R14del, R14Δ/+) is a pathogenic variant that can cause cardiomyopathy, characterized by PLN protein aggregation, ultimately leading to heart failure (HF). The exact pathophysiology is unknown, we aim to uncover R14Δ/+ disease mechanisms and study potential treatment using PLN antisense oligonucleotides (PLN-ASOs). Methods Phosphoproteomics was performed on human heart tissue from end-stage R14Δ/+ patients (N=6) versus other etiologies of HF (N=10) as a control. CRISPR-Cas9 engineered R14Δ/+ and isogenic control (WT) induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) were extensively characterized, including the phosphoproteome, calcium transients (FLUO 4-AM), mitochondrial respiration (Seahorse Mito Stress Test) and contractility in dynamic engineered heart tissues (dyn-EHTs) before and after PLN-ASO treatment, and the results were validated in R14Δ/+ iPSC-CMs derived from R14Δ/+ patients. Results Phosphoproteomics of heart tissue from R14Δ/+ vs. other etiologies of HF identified 138 differentially expressed proteins (DEPs) and 317 differentially expressed phosphoproteins (DEPPs), therewith establishing a disease-specific signature. Phosphoproteomics of WT vs. R14Δ/+ iPSC-CMs identified 451 DEPs and 1046 DEPPs. Gene ontology analysis of end-stage R14Δ/+ heart tissue and iPSC-CMs revealed a large overlap. Here, R14Δ/+ showed to have great impact on contraction (e.g. SYNPO2L, MYH10, TTN) and calcium (e.g. AHNAK, HRC, RYR2). In line with this, functional characterization revealed that R14Δ/+ iPSC-CMs have an increased Ca2+ systolic velocity and accelerated calcium transient (decreased T50 and T90), that associated with altered calcium-related DEPPs (e.g. RYR2). In dyn-EHTs, R14Δ/+ dyn-EHTs have a decreased contraction duration, time-to-peak and ability to pace, associated with altered contractility-related DEPPs (e.g. SYNPO2L, MYH7, TTN). PLN-ASOs dose-dependently altered PLN mRNA expression and protein levels in iPSC-CMs, and 62 DEPs and 372 DEPPs were identified. PLN-ASOs increased Ca2+ diastolic velocity, which associated with altered calcium-related DEPPs (e.g. PLN, AHNAK, HRC). PLN-ASOs increased the ability of dyn-EHTs to pace and therewith improved contractility, which associated with altered contractility-related DEPPs (e.g. SYNPO2L, MYH7, TTN). PLN-ASOs dose-dependently increased basal respiration and ATP production, which associated with altered mitophagy-related DEPs (GABARAPL2 and MAP1LC3). These functional characteristics were validated in R14Δ/+ patient iPSC-CMs. Discussion: R14Δ/+ cardiomyocytes have a degenerative phenotype characterized by altered calcium transients and reduced contractility and PLN-ASOs attenuate these characteristics and improve metabolism.

Predicting diabetes prognosis using machine learning techniques in a Hungarian clinical database

Abstract Background Chronic conditions such as type 2 diabetes mellitus have great impact on patients’ quality of life. Although clinical databases provide a perfect base for research aimed at improving diabetes care, analyzing such databases requires extensive pre-processing, mainly due to the large amount of unstructured data. Our study aimed to present the steps of generating a dataset from a large clinical database, and to apply machine learning-based analytical techniques regarding. Methods Data of the Clinical Center of University of Debrecen was used. To structure the unstructured data, regular expressions and natural language processing methods were used. The main machine learning models were as follows: Gradient Boosting Machines to predict the risk of complication development; Long Short-Term Memory Networks to forecast future health outcomes. All analysis and procedures were done using Python. Results The database contains approximately 1600 tables, with a total size of 1.9 terabytes, where the largest table is 21.07 gigabytes with approximately 44.64 million rows. The final dataset consisted of 40,332 patients. Most variables originate from the unstructured data, including complications and comorbidities of diabetes, as well as physical and laboratory parameters. Related to laboratory parameters, the number of measurements and the median value for every half-year were available. The diagnosis time of the complications’ occurrence is also presented. Machine learning methods were more accurate compared with traditional statistical methods in predicting the prognosis (p &amp;lt; 0.05). Discussion Our research highlights the importance of clinical data in chronic disease management. There are challenges in pre-processing and managing datasets, but machine learning-based methods are very efficient not only in extracting useful information from unstructured data but also in predicting the prognosis and identifying potential intervention points for better care. Key messages • Natural language processing can be used to obtain useful information from unstructured clinical data. • Using machine learning techniques on clinical data could improve diabates care.

The Effect of Electronic Word of Mouth Using Analysis of Review Valence on Brand Trust as a Purchasing Decision Lucienne Beauty

The influence of electrinic word of mouth in today's digital age has a great impact on a person's consumptive nature. Therefore, the role of electronic word of mouth is very important in a person's decision to buy a product. The purpose of this study is to find out the influence of Electronic Word of Mouth based on valence reviews to create brand trust as an intervening variable that will have an impact on the purchase decision of the Lucienne Beauty brand. This research was conducted using data taken using 110 qualitative data from Lucienne Beauty customer respondents. The analysis tool used is SmartPLS 4.0. Data analysis is carried out by assessing the outer model or measurement model and the inner model or structural model. The results showed that the electronic word of mouth from the valence review partially had a significant positive effect on brand trust, and the electronic word of mouth had a significant positive effect on the purchase decision of Lucienne Beauty products through the brand trust variable as the intervening variable.

How stop smoking outreach works: a co-inquiry informed, complex intervention model

Abstract Background Across Europe, smoking prevalence is concentrating in underserved communities with high levels of deprivation. And yet, there is little research on how stop smoking services (SSS) can engage these communities. This study presents the findings of a 12-month collaboration involving an external public health research team and staff of an English SSS. Staff worked with community partners (e.g., schools) to raise awareness of the service, which included a newly introduced e-cigarette offer. Methods A complex intervention model was developed and refined through 6 facilitated co-inquiry sessions involving 13 SSS staff. Staff also completed 32 reflection forms on outreach events and rapid ethnography was conducted, by the research team, to evaluate staff’s working assumptions. This included 8 observations of outreach events and interviews with 10 SSS staff and 8 community members, from the service target groups. Data were organised into themes. Findings The model presents a picture of stop smoking outreach as challenging, unpredictable and resource intensive yet often having great impact. The themes enrich this to highlight 1) the appreciation for yet unpredictability of outreach referrals for people disconnected from health services; 2) the importance of staff adopting a person-centred approach; 3) the challenges and opportunities presented by e-cigarettes; and 4) the role of strategic community partnerships in optimising staff time on outreach. Conclusions Stop smoking outreach can generate considerable interest in SSS, particularly when delivered in combination with an e-cigarette offer. Future research should explore the economic and social return on investment in community outreach: while time consuming, referrals generated proactively may become more important for SSS as smoking concentrates in underserved communities. Key messages • Stop smoking outreach is an effective way to raise awareness and generate referrals but must be done non-judgementally and via effective community partnerships. • Staff’s careful discussion of an e-cigarette offer can change the perception of SSS without contributing to recreational normalization.

The Mediating Effect of Service Quality on Total Quality Management and Customer Loyalty in Banking Sector

The aim of the research is to scrutinize the effect of TQM on customer loyalty through the mediation of quality service. The data was collected from workers of private banks in Iraq. Cluster sampling technique was used to collect the data. There were 390 employees taken as a sample size. The finding demonstrates that the effect of TQM practices on customer loyalty is significant. The significant mediating effect of quality service between the association of TQM and customer loyalty. In the end, the implication of the study is the private banks implement TQM practice effectively so that it has more a great impact on customer loyalty.

Study on the Damage Characteristics of Red Sandstone Foundation Under Rainfall Infiltration in the Red-Bed Area of the Sichuan Basin—Taking Zhongjiang County as an Example

The Sichuan Basin in China is one of the most concentrated areas of red beds in China. In the red-bed area, abundant rainfall can easily cause natural disasters, such as landslides, mudslides, collapses, and subsidence. This has had a great impact on the safety of people and property and sustainable modernization in the area. Zhongjiang County of Sichuan Province is a typical red-bed area, and red sandstone is one of the main foundation rocks in this area. Under the influence of rainfall, the strength of red sandstone foundation easily decays, causing disasters such as house collapse. Therefore, in order to explore the influence of rainfall on the mechanical properties of red sandstone, this paper takes the red sandstone in Zhongjiang County, Sichuan Province, China, as the research object and conducts acoustic-emission uniaxial compression experiments under different water contents. The strength characteristics, instability precursor characteristics, fracture types, and damage characteristics of red sandstone in different water-bearing states are obtained. The abovementioned results provide a reference for the Zhongjiang County Government to consider the impact of rainfall on the red sandstone foundation during modernization and emergency management.

Analytic continuation of differential cross-sections as a way to determine asymptotic normalization coefficients. Application to the 16O(d,p)17O reaction

Asymptotic normalization coefficients (ANC) are important nuclear characteristics. This paper discusses a method for determining ANC values from experimental data on differential cross-sections of nuclear transfer reactions. The method is based on the use of the analytic continuation of these cross-sections to the pole point of the reaction amplitude with respect to the variable [Formula: see text], where [Formula: see text] is the center-of-mass scattering angle. The method under consideration is used to determine the ANC for the channel [Formula: see text]O(1/2[Formula: see text]; 0.871[Formula: see text]MeV) [Formula: see text]O(0[Formula: see text]; 0[Formula: see text]MeV) [Formula: see text] from the data on the [Formula: see text]O(0[Formula: see text]; 0[Formula: see text]MeV)[Formula: see text]O (1/2[Formula: see text]; 0.871[Formula: see text]MeV) reaction. When determining the ANC, the corrections caused by the Coulomb interaction in the initial, final and intermediate states of the reaction were taken into account. It is shown that these corrections have a great impact on the extracted ANC value.

Cellular Senescence: A Bridge Between Diabetes and Microangiopathy.

Cellular senescence is a state of permanent cell cycle arrest and plays an important role in many vascular lesions. This study found that the cells of diabetic patients have more characteristics of senescence, which may cause microvascular complications. Cell senescence, as one of the common fates of cells, links microangiopathy and diabetes. Cell senescence in a high-glucose environment can partially elucidate the mechanism of diabetic microangiopathy, and various types of cellular senescence induced by it can promote the progression of diabetic microangiopathy. Still, the molecular mechanism of microangiopathy-related cellular senescence has not yet been clearly studied. Building on recent research evidence, we herein summarize the fundamental mechanisms underlying the development of cellular senescence in various microangiopathies associated with diabetes. We gradually explain how cellular senescence serves as a key driver of diabetic microangiopathy. At the same time, the treatment of basic senescence mechanisms such as cellular senescence may have a great impact on the pathogenesis of the disease, may be more effective in preventing the development of diabetic microangiopathy, and may provide new ideas for the clinical treatment and prognosis of diabetic microangiopathy.

Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach

In the field of construction engineering, the cracking of concrete structures is a common engineering problem, which has a great impact on the overall stability and service life of the engineered structure. During structural repair, crack detection is the most critical step. Automatic detection significantly reduces the engineering cost and human factor error compared with manual detection. However, due to the changeable environment of the project site and different image specifications, using a single algorithm makes it difficult to balance high efficiency and high accuracy. In this study, we designed a combined recognition method including the region growth algorithm and machine learning regression that can achieve a tradeoff between accuracy and efficiency. Firstly, the regression method learns the image features of the dataset and the specific region growth threshold, and the regression function is trained by using the open-source dataset to determine the region growth threshold using the characteristics of the images included in the tests. The region growth algorithm is used to expand the threshold from the seed points of the image to obtain the crack recognition results. The results show that this method improves the accuracy of SSIM by 7% compared with the traditional region growth algorithm, and does not significantly increase the computational cost, with an increase of 0.78 s per photo process. Compared with the deep learning method, the recognition accuracy of SSIM is decreased by 5.96%, but it takes less resources and has high efficiency.

Plugging biologging into animal welfare: An opportunity for advancing wild animal welfare science

Abstract Animal welfare science is currently expanding beyond its traditional boundaries, from captive animals to those living in the wild. This current development is conceptually and methodologically challenging, but it could benefit from adjacent and more established research fields. Among these fields, biologging appears to be a strong candidate, as most intrinsic, location and environmental variables collected through biologging approaches could be used to assess animal welfare in the wild. To provide an objective view of the suitability of biologging to assess wild animal welfare, biologging was evaluated against the criteria that are currently recommended to assess animal welfare. This evaluation shows that biologging approaches could enhance animal welfare assessments in terms of completeness, informativeness and feasibility in the wild. However, their full implementation may be complicated by limitations in terms of validity, representativeness and disturbance, and by the different welfare perspectives taken by wildlife biologists using biologging approaches and animal welfare biologists. To exploit the full potential that biologging approaches could offer to assess wild animal welfare, their current limitations need to be overcome. Towards this end, recommendations are explicitly provided to enhance the validity and the representativeness of biologging measurements as welfare indicators, while reducing disturbance. To increase the visibility and the impact of biologging studies examining wild animal welfare, we also encourage wildlife biologists using biologging approaches to adopt the same language and perspectives as those used by animal welfare biologists. If current limitations are overcome, biologging is likely to be instrumental for the future study of animal welfare in the wild. Reciprocally, integrating animal welfare in biologging studies is expected to have a great impact on the whole biologging field by extending its current scope to a new and promising research area.