Relative Impact Research Articles

A novel hybrid procedure of PLS-SEM, ANN and fuzzy TOPSIS for online banking

The adoption of online banking is a big challenge as well as an emergent paradigm which is evolving quickly. The study develops a new exploration model that is used to determine significant constructs of the UTAUT theory that influence the adoption of online-banking. A study was conducted through an online survey of online banking users. Three methods were used; firstly, PLS-SEM was used to determine which of the constructs have a significant impact on behavioral intention to use e-banking, secondly, an incorporated neural network model was used to classify the relative impact of significant variables obtained from PLS-SEM, and finally a hybrid procedure is incorporated from PLS-SEM to initialize the Fuzzy TOPSIS. The findings of the research paper constitute the ranked results and a comparison between them. The results of PLS-SEM and ANN analysis showed the same ranking for the constructs, while the decision making method Fuzzy TOPSIS introduced some changes in the ranking. This study presents valuable insights for the banking system to bring effective projects that increase the possibilities of using online banking.

Deconstructing Best-in-Class Neoglycoclusters as a Tool for Dissecting Key Multivalent Processes in Glycosidase Inhibition.

Multivalency represents an appealing option to modulate selectivity in enzyme inhibition and transform moderate glycosidase inhibitors into highly potent ones. The rational design of multivalent inhibitors is however challenging because global affinity enhancement relies on several interconnected local mechanistic events, whose relative impact is unknown. So far, the largest multivalent effects ever reported for a non-polymeric glycosidase inhibitor have been obtained with cyclopeptoid-based inhibitors of Jack bean α-mannosidase (JBα-man). Here, we report a structure-activity relationship (SAR) study based on the top-down deconstruction of best-in-class multivalent inhibitors. This approach provides a valuable tool to understand the complex interdependent mechanisms underpinning the inhibitory multivalent effect. Combining SAR experiments, binding stoichiometry assessments, thermodynamic modelling and atomistic simulations allowed us to establish the significant contribution of statistical rebinding mechanisms and the importance of several key parameters, including inhitope accessibility, topological restrictions, and electrostatic interactions. Our findings indicate that strong chelate-binding, resulting from the formation of a cross-linked complex between a multivalent inhibitor and two dimeric JBα-man molecules, is not a sufficient condition to reach high levels of affinity enhancements. The deconstruction approach thus offers unique opportunities to better understand multivalent binding and provides important guidelines for the design of potent and selective multiheaded inhibitors.

Structure-conduct-performance (SCP) paradigm in digital platform competition: a conceptual framework

PurposeThe study aims to analyze factors impacting firms’ success and persistence in a digital platform competition using the structure-conduct-performance (SCP) framework. The study also includes real-life cases that are beneficial to academicians and practitioners to understand and develop strategies for success and persistence during uncertainty.Design/methodology/approachA literature review to identify the factors that impact success and persistence in a digital platform competition was conducted following Webster and Watson (2002). Findings were integrated into a SCP framework to examine and understand the identified factors’ relational impact.FindingsWhile analyzing factors under the SCP framework, all factors were divided into three categories: those impacting positively, those impacting negatively and those with ambiguous impact on the success and persistence in digital platform competition. Digital platform firms can exploit the positively impacting factors to increase market share by being distinctive from other digital platform firms and becoming dominant by withstanding competition. On the other hand, negatively impacting factors increase barriers to entry, intensify competition and reduce the distinctiveness of digital platform firms. Lastly, a few factors may have either a positive or a negative impact depending upon the particular characteristics of the firm/industry.Research limitations/implicationsThe study opens the scope for future research on empirically testing the developed conceptual framework and relationships by developing propositions to posit the possible impact of these factors on digital platforms’ success and persistence.Originality/valueThe study contributed to the existing literature by using SCP framework to analyze the factors affecting firm’s success and persistence in a digital platform competition. Also, the study has discussed the relational impact of factors rather than their impact in isolation.

Effect of DH-shaped coil symmetry coefficient on EMPW process

ABSTRACT The coil is used for electrical connection and energy conversion in the electromagnetic pulse welding (EMPW) process, so its structure affects the welding effect. In this work, for the dual H-shaped (DH) coil, the influence of the symmetry coefficient on the Cu-Al sheets EMPW was studied through the simulation and experiment. When the voltage was 7 kV and the symmetry coefficient g was 0.75, 1, and 1.33, the V c-β trajectory curve contained by the simulation combined with the welding window curve (WWC) to analyze the dynamic process and welding effect. The relative impact speed was the fastest and the corresponding weld seam length was the longest when g was 1.33. The welding experiment results were consisted with the simulation results, it was beneficial to weld the Cu-Al sheets when g was 133. The symmetry coefficient could change the impact speed and angle to affect the welding effect. This work is of great significance for DH coil design.

Efficiency of Different Techniques in Collecting Insects in Environments Exposed to Palm Oil and Spent Engine Oil Effluents in Abakiliki, Ebonyi State

This study investigates the ecological consequences of palm oil and spent engine oil effluents on insect populations, employing a comparative analysis of two widely used collection techniques: pitfall traps and sweep netting. The aim was to assess the effectiveness of these methods in capturing and quantifying insect diversity and abundance in polluted environments. The research was conducted in selected sites exposed to palm oil and spent engine oil effluents, with corresponding control sites for comparison. Pitfall traps and sweep netting were deployed simultaneously to collect insects across various habitats impacted by the aforementioned effluents. The collected specimens were then identified to the lowest taxonomic level possible, and population data were analyzed to evaluate the relative impact of each effluent type on insect communities. Furthermore, statistical analyses were employed to compare the efficiency of pitfall traps and sweep netting in detecting changes in insect populations. The study revealed that pitfall traps recorded significantly higher number of insects (72.93%) than sweep nets (27.07%) in sites exposed to palm oil effluent (P<0.05). The result obtained in the site exposed to spent engine oil effluent showed that pitfall traps recorded significantly higher number of insects (80.61%) than sweep nets (19.39%) (P<0.05). This study contributes to the ecological repercussions of industrial effluents on insect populations, offering a methodological comparison that can enhance the precision of future insect-related environmental assessments.

Psoriatic Arthritis Involving TMJ: A Review on Pathogenesis and Consideration on Eventual Gender Differences.

Psoriatic arthritis is defined as chronic inflammatory arthritis associated with psoriasis. The current data regarding gender differences in clinical manifestation and therapeutic outcomes of psoriatic arthritis are limited. Generally, men show a peripheral disease manifestation, while women have an axial distribution of the lesions. If we look at temporomandibular joint (TMJ) involvement, epidemiological data on the involvement of the TMJ are hard to find. Few studies on therapeutic management and the related impact on the quality of life are reported in the literature. Given the morpho-functional peculiarities of the TMJ and the different pain burdens between male and female genders, when manifestation of psoriatic arthritis occurs, clinicians should face it using a multidisciplinary approach for a correct diagnosis and successful treatment. This review aims to examine the diagnostic signs of psoriatic arthritis in the TMJ, the eventual variations of this disease in male and female patients, and the therapeutical strategies. The coordination of different specialties is fundamental to the remission of clinical symptoms and lesion regression.

A Method for Projecting Cloud Shadows Onto a Central Receiver Field to Predict Receiver Damage

This work demonstrates methods of mapping high-spatial-resolution direct normal irradiance (DNI) data from satellites, Total Sky Imagers (TSIs), and analogous data sources onto a heliostat field for characterizing the spatial and temporal variation of the incident flux on a central receiver tower during cloud transient events. The mapping methods are incorporated into an optical software module that interfaces with CoPylot–SolarPILOT’s python API– to provide computationally efficient optical simulation of the heliostat field and the solar power tower. Eventually, this optical model will be incorporated into optimization models whereby a plant operator can understand the effects of cloud transient events on overall power production and receiver lifetime due to creep-fatigue damage and therefore make better informed decisions about receiver shutdown events. By more accurately modelling the effects of cloud events on receiver flux maps, this work may determine the magnitude and frequency of thermal cycling on receiver tubes and panels using actual or realistic cloud shapes instead of averaged DNI values–which may undercount the total cycle number. This work may also prevent unnecessary plant shutdowns due to overly precautionary control strategies and characterize the relative impact of various cloud types on receiver life. We plan to eventually integrate this methodology into the System Advisor Model (SAM) to improve performance model accuracy during periods of cloudiness. In this paper, we demonstrate generating DNI maps and mapping them to a solar field in CoPylot using 10 m resolution data from publicly available Sentinel-2 satellite data over the Crescent Dunes plant.

Digital Twin Approach in Buildings: Future Challenges via a Critical Literature Review

In 2011, the term Digital Twin was originally introduced by Michael Grieves to define the synchronization between two realities: physical objects placed in a real space and virtual objects within in virtual space, linked through the mutual exchange of data throughout the entire lifecycle, both in real-time and asynchronously. Nowadays, Digital Twin is among the principal and emerging technological innovations of both Industry 4.0 and the emerging Industry 5.0, enabling an interaction between physical and virtual objects, Big Data, Internet of Things, and Artificial Intelligence. The construction sector, too, is now exploring the potentialities offered by the Digital Twin approach in enhancing innovative, responsible, and sustainable governance of buildings’ lifecycles. Concerning these issues, this paper proposes visualizing future challenges with a specific focus on the operation and maintenance phase and its related impact on decarbonization via a critical literature review of the current statements. The applied methodology is based on three different questions related to certain research issues performed in the Scopus database. The selected findings were filtered, classified, and discussed. Some future challenges on specific issues have been identified, defining and promoting novel research ideas.

Differences between whole body magnetic resonance imaging (WB-MRI) and chest/abdomen/pelvis computed tomography (CT)/bone scan (CT/B) in patients staged as having metastatic hormone-sensitive prostate cancer (mHSPC): A retrospective comparative study within a single trust in the UK.

37 Background: Diagnostic imaging for metastases detection in HSPC varies across different countries with increasing use of WB-MRI and PSMA-PET. However, CT/B has still been the most used modality in the real world and recent registration clinical trials in this disease setting. Methods: We performed a cross-sectional retrospective descriptive study comparing WB-MRI with CT/B used as baseline staging modalities in patients diagnosed with mHSPC between February 2017 and August 2023 in two hospitals belonging to the same NHS trust in the UK routinely using one of the two. The study aimed at the detection of differences between the two modalities in the identification of metastatic sites and CHAARTED volume/LATITUDE risk, and the relative impact on patients’ received therapies and outcomes. Results: Of 213 patients diagnosed with mHSPC, 121 had baseline WB-MRI, 86 CT/B and 7 choline or PSMA PET. Compared to CT/B, patients staged by WB-MRI were diagnosed with significantly higher bone-only (47 vs 24%, p=0.002) and lower lymph-node only disease (11 vs 27%, p=0.005); higher high-volume (49 vs 21%, p<0.001) and -risk disease (48 vs 17%, p<0.001); higher de-novo metastatic disease (91 vs 66%, p<0.001); had previously received less radical surgery (2 vs 13%, p=0.003) or radiotherapy (7 vs 24%, p<0.001); received more frequently ADT plus Docetaxel (65 vs 44%, p=0.005). Treatment and outcome results in the overall cohorts’ populations and according to disease volume/risk will be presented. Conclusions: In a homogenous cohort of patients, we found a relevant discrepancy between the use of WB-MRI and CT/B in the identification of high-volume/risk and de-novo disease in mHSPC related to a higher detection rate of bone-only disease by the WB-MRI. This may prompt clinicians to offer different systemic therapies according to the disease burden and could also have a role in avoiding overtreatments for the under-staged disease.

Evidence-based policy-making in normatively divided policy fields: European Institute for Gender Equality, Agency for Fundamental Rights and Slovak policies tackling violence against women

In recent years, we have seen a shift towards soft law policy-making within EU gender equality policies, embracing a new rationale of evidence as a promising panacea for the ills of democratic deficit. This shift has been fostered by the establishment of the EU Agency for Fundamental Rights (FRA) and the European Institute for Gender Equality (EIGE), which both promote tools of benchmarking, ranking and good-practice sharing. Focusing on the relative impact of Europeanisation, this case study sheds light on the various processes of negotiating and resisting these indicator-based tools of policy-making by national actors in the field of gender-based violence. Gender-based violence is a normatively divided policy field in which actors struggle for limited resources. By viewing the accounts of the respondents through the framework of usage of Europe, we discuss the practices the actors engage in when employing the work of FRA and EIGE at the national level.

Abstract WP204: Impact of Reperfusion Grade and First Pass Effect in Large vs Small Core Patients Undergoing Mechanical Thrombectomy

Introduction: While patients with small core stroke (SCS) and large core stroke(LCS) benefit from Mechanical Thrombectomy(MT), the impact of reperfusion (Thrombolysis in Cerebral Infarction (eTICI) grade and the first pass effect (FPE)) on clinical outcomes remains poorly understood. We aim to study the interplay between these factors in LCS and SCS patients. Methodology: Retrospective analysis of a comprehensive stroke center prospective database for patients with MCA-M1 or ICA-T occlusions who underwent MT between November 2010-March 2023. Logistic regression models assessed ASPECTS and eTICI score relationships and their impact on outcomes, adjusted for age, NIHSS, tPA, hypertension, general anesthesia and clot location. Results: Of 1548 included patients (mean age 65±16 years, 50.0% males)Table 1, 9.1%(141/1548) were categorized as a LCS (ASPECTS 0-5: 3.5% ASPECTS 0-2 and 96.0% 3-5) while 90.9%(1407/1548) as a SMC (53.0% ASPECTS 6-8 and 47.0% ASPECTS 9-10)(Table1). Lower rates of FPE were achieved in the LCS cohort (26%) compared to the SCS cohort (36%). First pass effect had comparable relative impact on independence rates on LCS and SCS (Figure1A; p>0.05). Final reperfusion rates were comparable LCS and SCS cohorts; In LCS, 5%, 11%, 26%, and 49% achieved eTICI grades 0-2a, 2b50, 2b67, and 2c-3, while in SCS, the percentages were 5.3%, 11%, 18%, and 66%. The relative benefit of final eTICI2c-3 vs 2b50 was comparable between LCS and SCS (p>0.05;Figure1B) Conclusion: The magnitude of benefit of achieving FPE as well as final full reperfusion (eTICI2c-3 vs eTICI2b) is comparable in large and smaller core strokes.

Modelling the sustainable harvest of wild populations for the conservation of a threatened amphibian

AbstractHarvesting wild populations is increasingly used to support conservation initiatives, including translocations, captive assurance colonies, and breeding programs. Best‐practice guidelines recommend that population viability analyses should be developed to assess the potential impact of harvest on source populations, allowing quantification of the risk incurred by the conservation programme. We developed a stochastic population model to assess the relative impact of harvesting southern bell frogs (Litoria raniformis) from three well‐studied populations. We compared the probability of local extinction when harvesting from three life stages (spawn, tadpoles, and adults) and at 21 harvest proportions (from 0 to 1, in 0.05 increments). Source populations with an estimated average of 100 adult frogs and with three or fewer breeding opportunities every 5 years showed increased risk of local extinction and lower minimum adult populations from all harvest strategies. Sources with an estimated average population >600 adult frogs and breeding opportunities in at least eight out of every 10 years were more resilient to harvest. For these populations, harvesting up to 25% of spawning masses or late‐stage tadpoles had a negligible impact on the probability of local extinction and caused a slight decrease in the minimum adult population. Harvesting adults impacted source populations more strongly than harvesting spawn or tadpoles. Our model highlights the importance of frequent breeding opportunities to offset the effects of harvesting L. raniformis. Populations sustained by environmental water delivery should be prioritized for the two consecutive breeding seasons following harvest in the absence of natural wetland inundation. We demonstrate a tractable approach to assess and compare the relative risk of wild harvest for threatened amphibians, with implications for the conservation of our focal species, L. raniformis. We encourage conservation practitioners to implement population viability analyses prior to wild harvest, whenever sufficient demographic information is available to build the requisite models.

The Relative Impacts of Peer Disapproval, Parental Disapproval, and Perceptions of Risk on Adolescent Marijuana Use

Adolescent drug use has consistently been a concern for researchers and policymakers for decades as its early onset and continued use can lead to a variety of negative life outcomes. Concerns related to marijuana use have emerged in recent years as states have begun to change laws regarding recreational cannabis use. The current study uses data from a cohort of students in Massachusetts to understand how these changes may impact marijuana use. Findings from this study suggest that nearly three years after the first recreational marijuana retail center opened, the protective features of parental norms toward marijuana use may no longer be relevant in protecting young people from early experimentation with drugs. Policy implications are discussed.

Long-term trajectories of densely reported depressive symptoms during an extended period of the COVID-19 pandemic in Switzerland: Social worries matter

Previous mental health trajectory studies were mostly limited to the months before access to vaccination. They are not informing on whether public mental health has adapted to the pandemic. The aim of this analysis was to 1) investigate trajectories of monthly reported depressive symptoms from July 2020 to December 2021 in Switzerland, 2) compare average growth trajectories across regions with different stringency phases, and 3) explore the relative impact of self-reported worries related to health, economic and social domains as well as socio-economic indicators on growth trajectories. As part of the population-based Corona Immunitas program of regional, but harmonized, adult cohorts studying the pandemic course and impact, participants repeatedly reported online to the DASS-21 instrument on depressive symptomatology. Trajectories of depressive symptoms were estimated using a latent growth model, specified as a generalised linear mixed model. The time effect was modelled parametrically through a polynomial allowing to estimate trajectories for participants' missing time points. In all regions level and shape of the trajectories mirrored those of the KOF Stringency-Plus Index, which quantifies regional Covid-19 policy stringency. The higher level of average depression in trajectories of those expressing specific worries was most noticeable for the social domain. Younger age, female gender, and low household income went along with higher mean depression score trajectories throughout follow-up. Interventions to promote long-term resilience are an important part of pandemic preparedness, given the observed lack of an adaptation in mental health response to the pandemic even after the availability of vaccines in this high-income context.

Delineating the Effects of Transition-Metal-Ion Dissolution on Silicon Anodes in Lithium-Ion Batteries.

Silicon anode is an appealing alternative to enhance the energy density of lithium-ion batteries due to its high capacity, but it suffers from severe capacity fade caused by its fast degradation. The crossover of dissolved transition-metal (TM) ions from the cathode to the anode is known to catalyze the decomposition of electrolyte on the graphite anode surface, but the relative impact of dissolved Mn2+ versus Ni2+ versus Co2+ on silicon anode remains to be delineated. Since all three TM ions can dissolve from LiNi1-x-yMnxCoyO2 (NMC) cathodes and migrate to the anode, here a LiFePO4 cathode is paired with SiOx anode and assess the impact by introducing a specific amount of Mn2+ or Ni2+ or Co2+ ions into the electrolyte. It is found that Mn2+ ions cause a much larger increase in SiOx electrode thickness during cycling due to increased electrolyte decomposition and solid-electrolyte interphase (SEI) formation compared to Ni2+ and Co2+ ions, similar to previous findings with graphite anode. However, with a lower impedance, the SEI formed with Mn2+ protects the Si anode from excessive degradation compared to that with Co2+ or Ni2+ ions. Thus, Mn2+ ions have a less detrimental effect on Si anodes than Co2+ or Ni2+ ions, which is the opposite of that seen with graphite anodes.

Adhesive bonding of glass-fibre thermoplastic composite: process optimisation and sustainability analysis using LCA methodology

In recent years, great attention has been paid to the challenge of integrating more sustainable circular approaches to manufacturing, which involve optimising the entire product cycle, from design to fabrication, assembly and eventual reuse/recycling. In this context, the use of thermoplastic composite materials in combination with adhesive bonding is attracting increasing attention to achieve this dual objective. Therefore, the proposed research focuses on the experimental and statistical optimisation of an adhesive bonding process for glass-fibre–reinforced composite substrates with polypropylene matrix, with the aim of comparing its performance with that of joints made using more conventional configurations, i.e. utilising thermosetting substrates. A low-pressure plasma pre-bonding surface treatment is adopted, and its effectiveness in enhancing joint performance compared to more conventional preparations for plastics is discussed. By varying plasma parameters according to the design of experiments statistical approach, the joint response is studied in terms of tensile shear strength and modelled in accordance with the response surface methodology to identify the optimum condition of process parameters within the established system boundaries. The study found that with optimised pre-treatment, adhesive joints of glass-fibre–reinforced composites with thermoplastic matrices (first scenario) can achieve tensile shear strength (TSS) comparable to that of thermoset composites (second scenario), making them viable options in various applications. Two alternative scenarios—namely, joints with thermoplastic composite or thermoset composite substrates—are then analysed by the life cycle assessment methodology and compared according to their relative environmental impact, demonstrating that glass-fibre thermoplastic composite joints are competitive alternatives to thermoset joints in terms of mechanical static performance achieved, but significantly preferable with regard to environmental sustainability.

BUDGET IMPACT OF MIRIKIZUMAB-MRKZ IN THE TREATMENT OF ADULT PATIENTS WITH MODERATELY-TO-SEVERELY ACTIVE ULCERATIVE COLITIS IN THE UNITED STATES

Abstract BACKGROUND Mirikizumab (miri), an IL-23p19 antagonist, is undergoing US FDA review for treatment of moderately-to-severely active ulcerative colitis (UC) in adults. However, the budget impact of its addition to payer formularies is unknown. METHODS A de novo budget impact model was developed to estimate the cost of introducing miri to the formulary of a hypothetical one-million-member health insurance plan. Epidemiological inputs drew primarily from published sources, while market research informed the current and future market share of advanced therapies. The model accounted for drug acquisition, drug administration, treatment monitoring, and adverse event management, derived from US prescribing information, trial results, and published sources. Discontinuation and dose escalation rates were based on the literature, applying assumptions where data gaps existed. In the base case, the model assumed that half of miri’s market share would be accrued from ustekinumab (an IL-12/IL-23 antagonist). The base-case analysis adopted a US commercial payer perspective over a 3-year period. Deterministic sensitivity analyses (DSA) assessed the implications of uncertainty in model inputs, while scenario analyses estimated budget impact under alternative assumptions about the origin of miri’s market share, and about the patient population under consideration. RESULTS In the base-case, 445, 480, and 515 patients were predicted eligible for advanced therapies for UC in Year1, Year2, and Year3, respectively with total UC drug management expenditures of $137.4 million over three years. Introducing miri to formulary for moderately-to-severely active UC yielded cumulative incremental costs of $1.3 million (relative impact=0.93%), equivalent to $0.04 per member per month (PMPM) or $0.43 per member per year (PMPY). Among patients who had already failed an advanced therapy, miri yielded lower cumulative incremental costs of $0.8 million (relative impact=1.1%), equivalent to $0.02 PMPM/$0.28 PMPY, consistent with the more narrowly defined eligible patient population (219, 252, and 284 patients in Year1, Year2, and Year3, respectively). In the scenario in which miri’s market share derived only from ustekinumab, the model predicted total cost savings of $2.6 million over three years (relative impact=-1.9%), as well as PMPM savings of $0.07 and PMPY savings of $0.85, due to higher estimated average drug costs associated with ustekinumab. DSA results suggested that base-case results were robust to uncertainty in the value of key model parameters. CONCLUSION Introducing miri to formulary for moderately-to-severely active UC may offer patients and clinicians an additional therapeutic option to manage this challenging and debilitating condition at minimal added cost to payers. The addition of miri to formulary could be relatively budget neutral or cost saving in some contexts.

Characteristics and Drivers of Vegetation Change in Xinjiang, 2000–2020

Examining the features of vegetation change and analyzing its driving forces across an extensive time series in Xinjiang are pivotal for the ecological environment. This research can offer a crucial point of reference for regional ecological conservation endeavors. We calculated the fractional vegetation cover (FVC) using MOD13Q1 data accessed through the Google Earth Engine (GEE) platform. To discern the characteristics of vegetation changes and forecast future trends, we employed time series analysis, coefficient of variation, and the Hurst exponent. The correlation between climate factors and FVC was investigated through correlation analysis. Simultaneously, to determine the relative impact of meteorological change and anthropogenic actions on FVC, we utilized multiple regression residual analysis. Furthermore, adhering to China’s ecological functional zone classification, Xinjiang was segmented into five ecological zones: R1 Altai Mountains-Junggar West Mountain Forest and Grassland Ecoregion, R2 Junggar Basin Desert Ecoregion, R3 Tianshan Mountains Mountain Forest and Grassland Ecoregion, R4 Tarim Basin-Eastern Frontier Desert Ecoregion, and R5 Pamir-Kunlun Mountains-Altan Mountains Alpine Desert and Grassland Ecoregion. A comparative analysis of these five regions was subsequently conducted. The results showed the following: (1) During the first two decades of the 21st century, the overall FVC in Xinjiang primarily exhibited a trend of growth, exhibiting a rate of increase of 4 × 10−4 y−1. The multi-year average FVC was 0.223. The mean value of the multi-year FVC was 0.223, and the mean values of different ecological zones showed the following order: R1 > R3 > R2 > R5 > R4. (2) The predominant spatial pattern of FVC across Xinjiang’s landscape is characterized by higher coverage in the northwest and lower in the southeast. In this region, 66.63% of the terrain exhibits deteriorating vegetation, while 11% of the region exhibits a notable rise in plant growth. Future changes in FVC will be dominated by a decreasing trend. Regarding the coefficient of variation outcomes, a minor variation, representing 42.12% of the total, is noticeable; the mean coefficient of variation stands at 0.2786. The stability across varied ecological zones follows the order: R1 > R3 > R2 > R4 > R5. (3) Factors that have a facilitating effect on vegetation FVC included relative humidity, daylight hours, and precipitation, with relative humidity having a greater influence, while factors that have a hindering effect on vegetation FVC included air temperature and wind speed, with wind speed having a greater influence. (4) Vegetation alterations are primarily influenced by climate change, while human activities play a secondary role, contributing 56.93% and 43.07%, respectively. This research underscores the necessity for continued surveillance of vegetation dynamics and the enhancement of policies focused on habitat renewal and the safeguarding of vegetation in Xinjiang.

Impact of firm-created and user-generated social media marketing on customers’ purchase intention in the fashionwear industry: evidence from Sri Lanka

PurposeThis study aims to investigate the relative impact of firm-created (FC) and user-generated (UG) social media marketing communication on fashionwear customers' purchase intention (CPI) in Sri Lanka. The primary objective is to identify the influence of social media marketing on the purchasing intention (PI) of customers in the fashionwear industry in Sri Lanka.Design/methodology/approachA standardized online survey was conducted, generating 312 datasets for analysis.FindingsThe empirical findings reveal that both firm-produced and UG social media fashionwear marketing communication has a significant influence on CPI. However, firm-produced social media fashionwear brands demonstrate a higher impact on CPI.Originality/valueThis study highlights the importance of social media marketing communication in shaping customers’ PI in the fashionwear industry in Sri Lanka. Both FC and UG content on social media platforms play a crucial role in influencing customers' intention to purchase fashionwear products. However, firm-produced social media fashionwear brands exert a stronger impact on CPI. These findings emphasize the need for marketers to incorporate effective social media strategies, including both FC and UG content, to enhance customer engagement and drive purchase decisions in the fashion-wear industry.

Relative impact of three growth conditions on the Escherichia coli protein acetylome

Relative impact of three growth conditions on the Escherichia coli protein acetylome