Search Results (402)

With the increasing prevalence of pirated software, reverse engineering is regarded as a key technology. Reverse engineering enables the reconstruction of compiled code into a high-level language, revealing its functions and characteristics. We analyzed existing research results on software reverse engineering with a focus on the main methods, application scope, and emerging trends of combining reverse engineering with ML. The practical application of reverse engineering in intellectual property rights protection was examined by comparing it with existing methods, such as code obfuscation and anti-analysis mechanisms. Finally, this paper proposes future research directions, emphasizing the ethical and developmental aspects of reverse engineering, as well as the importance of AI. Full article

Taxus baccata is a rare conifer species that occurs as isolated individuals or in small patches in Morocco and is listed in the National List of Protected Flora. To predict its current and future distribution areas, based on 41 occurrence records and 11 bioclimatic variables, the Maxent model was applied using cross-validation (1000 replicates) with logistic outputs under current climate conditions and the SSP1-2.6, SSP2-4.5, and SSP5-8.5 future climate scenarios. Our results indicate high-performing models (AUC > 0.966, TSS > 0.862). The bioclimatic factors that most influence the current potential geographic distribution of yew are the Mean Temperature of Driest Quarter (Bio9) and Isothermality (Bio3). The spatial distribution indicates that the current potential range of yew is discontinuous, with a current suitable area not exceeding 4602 km². Predictive modeling identifies a decline of the predicted suitable habitat under the SSP1-2.6 and SSP2-4.5 scenarios, fueled by both climate change and human activities. Given the species’ limited dispersal and the ongoing fragmentation of its habitat, immediate conservation actions, both in situ and ex situ, are urgently needed. This study demonstrates the vital role of predictive modeling in identifying these vulnerabilities to guide long-term sustainability efforts. Full article

A neighborhood’s built environment can challenge the mobility of older mobility-challenged adults (due to knee osteoarthritis and falls), reducing their participation and quality of life. The Built Environment in Falls and arthrITis (BE-FIT) study aims to understand the neighborhood influence on the mobility, participation, and psychosocial health of older adults with knee osteoarthritis and/or falls. BE-FIT comprises four work packages (WPs). WP1 quantitatively explores relationships among environmental-, social-, and person-related factors and participation outcomes of its intended population. WP2 employs qualitative methods to comprehend the relationships among WP1’s variables. Via a combination of wearable sensor technology and qualitative geospatial methods, WP3 aims to characterize its population’s movement behavior, mobility, functional activity of daily living, and lived experiences of residing in a mature neighborhood. Finally, WP4 engages crucial stakeholders to co-develop evidence-based recommendations to inform public health, urban planning, and aging policies and implementation. BE-FIT could benefit societies with rising incidence of knee osteoarthritis and falls by improving neighborhoods and lives of older mobility-challenged residents. Full article

White spot lesions (WSLs) are a common aesthetic concern and can be managed in a minimally invasive manner via resin infiltration to enhance their appearance. However, resin-infiltrated teeth may discolour over time due to dietary stains, posing a potential long-term aesthetic challenge. This in vitro study aims to evaluate the effectiveness of 10% carbamide peroxide on resin infiltrated WSLs following staining by common dietary sources. Forty-four extracted premolars with artificially created WSLs were infiltrated with resin and randomly distributed into four groups, including a control group. The specimens underwent staining with coffee, tea, and turmeric before bleaching with 10% carbamide peroxide for 14 days. Colour parameters were measured via spectrophotometer using the CIE L*a*b* system, and the colour changes (ΔE) across timelines were calculated. All of the specimens were susceptible to staining, with evidently high ΔE values. Following the bleaching protocol, all specimens showed statistically significant increases in L* (lightness) compared to the baseline. The post-bleaching colour change (ΔE) was compared to the baseline ΔE = 0, and the results indicated that full reversion was not achieved. Turmeric exhibited the highest stainability and the greatest resistance to bleaching. Within the limitations of this study, resin-infiltrated enamel was shown to be susceptible to dietary staining. Although full reversion to the baseline colour remains challenging, the marked aesthetic improvements indicate that resin-infiltrated enamel remains highly responsive to low-concentration bleaching agents. Full article

Background: Clinical controversy persists regarding the optimal weight-bearing strategy for elderly patients following hip fractures. Whilst early unrestricted weight-bearing may improve functional outcome and reduce the risk of bed-related complications, concerns about implant stability and failure often lead clinicians to adopt restricted weight-bearing protocols. To address this, we conducted a systematic review and meta-analysis to identify the effects of unrestricted weight-bearing compared with restricted weight-bearing on clinical outcomes in this patient population. We hypothesized that unrestricted weight-bearing may be associated with lower all-cause mortality without increasing postoperative complications, reoperation rates or length of hospital stay (LOS). Methods: This systematic review was conducted based on a study protocol registered on the PROSPERO platform and reported strictly in accordance with the PRISMA guidelines. We included clinical studies involving patients aged ≥65 years with hip fractures undergoing surgical treatment that directly compared the effects of different postoperative weight-bearing strategies on outcomes. Patients were further classified into unrestricted and restricted weight-bearing groups according to the postoperative weight-bearing protocols reported in each study. The primary outcome was all-cause mortality. Secondary outcomes included postoperative complications, reoperation rates, and LOS. A random-effects model was used for meta-analysis. Dichotomous variables were expressed as risk ratios (RRs), continuous variables as mean differences (MDs), and study heterogeneity was assessed using the I² statistic. The certainty of evidence of each outcome was assessed by using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Results: Ten studies (one randomized controlled trial and nine cohort studies) were included with 5806 patients in total. Extra-capsular fractures (intertrochanteric/subtrochanteric fractures) were the most common, with 3694 patients, followed by femoral neck fractures, with 1929 patients. Unrestricted weight-bearing was significantly associated with lower long-term mortality compared with restricted weight-bearing (RR = 0.67, 95% CI 0.51–0.88, p = 0.004, I² = 34%; 95% PI 0.52–0.83), with an absolute risk difference of −0.10%. Short-term mortality did not differ significantly in the primary analysis (RR = 0.58, 95% CI 0.14–2.34, p = 0.44, I² = 70%; 95% PI 0.00–126.98). Furthermore, the corresponding absolute risk difference was only −0.03%. No significant differences were observed for short-term complications, long-term complications, reoperation risk, or LOS between the two groups (all p > 0.05). GRADE assessment showed low certainty of evidence for long-term mortality and short-term complications, and very low certainty of evidence for the remaining outcomes. Conclusions: This meta-analysis suggests that unrestricted weight-bearing may be a feasible postoperative rehabilitation approach in selected patients. However, the results should be interpreted with caution. Further well-designed prospective studies are required to confirm these findings. Full article

This paper will defend a Bayesian form of argument from consciousness, which claims that central features of human consciousness provide rational support for theism when evaluated within a probabilistic framework. It focuses on rational deliberation, intentional agency, and libertarian free will as essential elements of human conscious life, arguing that these phenomena pose significant explanatory challenges for a purely naturalistic view of reality. Drawing on Bayesian reasoning, particularly the approach developed by Richard Swinburne, the paper first addresses the legitimacy of treating features of human conscious life as evidence, and then maintains that such features confer confirmatory support on theism insofar as they are more probable given theism than given naturalism. The paper further addresses the brute fact objection to the argument from consciousness advanced by Stale Gundersen, which holds that consciousness may be a brute feature of reality requiring no further explanation. I examine Gundersen’s arguments for this brute fact objection, and find them wanting. I then defend a Presumption of Intelligibility, and discuss the proper criteria for deciding which facts are brute facts, and which are not. Within this framework, I further argue that the brute fact objection is rationally inferior to the argument from consciousness. Full article

Foodborne diseases present a serious public health challenge, causing roughly 600 million illnesses and 420,000 deaths annually. A significant portion of this impact is felt in Asia, where traditional fermented and dry-salted seafood, such as katsuobushi, budu, and peda, are dietary staples. These products rely on diverse microbial communities that determine their final safety, flavor, texture, and shelf life. Historically, research has centered on lactic acid bacteria (LAB), yet the functional contributions of non-LAB halotolerant species, including genera like Tetragenococcus, Staphylococcus, and Bacillus, are functionally important in these high-salinity niches. This review evaluates the transition from basic taxonomic surveys to mechanistic multi-omics approaches, integrating genomics, transcriptomics, proteomics, and metabolomics to decode microbial functionality under selective environmental pressures. We discuss how genomic mining using platforms such as BAGEL4 and antiSMASH can uncover biosynthetic gene clusters and antimicrobial peptides, while CARD supports antimicrobial resistance monitoring. Transcriptomic analysis reveals microbial responses to osmotic stress, low water activity, and pH fluctuations, whereas proteomic profiling links gene expression to active enzymes, stress proteins, and functional biomarkers. Metabolomics captures the chemical outcomes of fermentation, including amino acids, volatile organic compounds, spoilage markers, and biogenic amines. By merging these high-dimensional datasets with artificial intelligence, researchers can move toward predictive modeling that distinguishes biological causation from simple correlation. This shift offers a strategy to improve the safety, consistency, and resilience of traditional high-salinity fermented seafood systems. Full article

Artificial intelligence (AI) is increasingly embedded in how cities are governed, shaping decisions on mobility, land use, public services, and environmental management. Yet urban AI is predominantly governed through fragmented frameworks designed at national or corporate scales, offering limited guidance for municipal decision-making and overlooking place-specific social and ecological consequences. As the level of government closest to everyday urban life, cities are uniquely positioned to steer AI toward public value, but face persistent tensions between efficiency, equity, accountability, and sustainability. This paper argues that responsible urban AI cannot be governed through top-down or one-size-fits-all approaches. To address this, the study aims to conceptualise and advance a ground-up model of responsible urban AI governance that places cities and local governments at the centre of decision-making. It addresses the following research question: How can municipal authorities translate high-level ethical principles into practical, context-sensitive governance arrangements that respond to local capacities, risks, and public values? Drawing on global governance principles and illustrative city experiences, we propose a locally grounded, stage-based framework for municipal AI governance. The framework addresses institutional capacity gaps, fragmented responsibilities, and algorithmic externalities, advancing a participatory, place-sensitive, and adaptive model that aligns urban AI innovation with democratic legitimacy, social justice, and sustainable urban futures. Full article

Dengue fever, with a high proportion of asymptomatic infections, poses a major global public health challenge that traditional surveillance systems frequently underestimate. Wastewater-based epidemiology (WBE) has emerged as a promising approach to monitoring infectious diseases beyond enteric viruses. Dengue virus is shed in urine, feces, and saliva, providing a biological basis for wastewater detection alongside clinical surveillance. This systematic review and meta-analysis synthesize current evidence on dengue virus (DENV) detection in wastewater and evaluate methodological factors influencing detection success in WBE. A systematic literature search using selected databases and predetermined keywords, followed by eligibility screening, resulted in ten studies being included, covering community surveillance and experimental trials. DENV ribonucleic acids (RNA) were most consistently detected and enriched in wastewater solids, indicating this matrix as the most reliable for surveillance. Among concentration methods, ultrafiltration achieved the highest viral recovery efficiency, while reverse transcription digital polymerase chain reaction (RT-dPCR) demonstrated superior sensitivity and precision compared to those of reverse transcription quantitative polymerase chain reaction (RT-qPCR), particularly at low viral concentrations. Storage at −80 °C was critical for preserving RNA integrity. The meta-analysis yielded a pooled DENV positivity rate of 24% (95% CI: 20–28%) after exclusion of outliers. Overall, solid-phase analysis combined with RT-dPCR represents the most sensitive methodological approach across the included studies. Harmonized protocols are needed to support future translation of dengue WBE into community surveillance as current evidence mainly demonstrates methodological feasibility and provides a technical foundation for future public health integration. Therefore, further longitudinal and multi-site validation is required to establish its broader applicability for dengue surveillance. Full article

Background/Objectives: Systemic lupus erythematosus (SLE) is a heterogeneous disease with substantial variability in clinical manifestations and outcomes, influenced by ethnic and geographical diversity. Remission is the optimal treatment target, while low lupus disease activity state is an accepted alternative goal. Although sustained remission has been associated with reduced organ damage, the impact of early attainment of treatment targets on subsequent damage accrual in SLE remains incompletely defined. To explore a potential window of opportunity, this study aimed to identify factors associated with achieving remission or low lupus disease activity state within the first year of SLE diagnosis and to examine their associations with organ damage. Methods: This retrospective study was conducted across 22 rheumatology centres in Malaysia and included patients with systemic lupus erythematosus (SLE) who had complete follow-up from diagnosis until attainment of treatment targets. Treatment targets were defined as achieving either early remission or a low disease activity state (LDAS). Given the retrospective nature of the study and the unavailability of complete Physician’s Global Assessment data, the definitions of early remission and LDAS were modified by excluding this component. Accordingly, treatment targets were defined as attainment of a clinical SLE Disease Activity Index (cSLEDAI) score of 0 with oral prednisolone doses of ≤5 mg/day and ≤7.5 mg/day, respectively, within 12 months of SLE onset. Multivariable Cox proportional hazards regression and logistic regression analyses were performed to determine factors associated with early remission and organ damage, respectively. Results: A total of 1599 patients were included, the majority of whom were female (92.5%). The cohort was predominantly Malay (68.7%), followed by Chinese (17.4%), Indigenous groups (10.8%) and Indian (3.0%). Early attainment of treatment targets was achieved in 45.7% of patients, while 54.3% experienced delayed attainment. In the multivariable cox regression model, the Malay and Chinese ethnic group demonstrated a significantly lower likelihood of achieving early remission compared to the Indigenous ethnic group. Patients with longer SLE duration, low C4 levels, presence of haematological and renal manifestations at the initial presentation, were identified as additional adverse factors associated with lower likelihood of early remission. Overall, 16.9% of patients accrued organ damage. Independent factors associated with organ damage included Indian ethnicity [OR 5.75, 95% CI 1.39–23.81, p = 0.02], delayed remission [OR 2.97, 95% CI 1.51–5.83) and absence of baseline hydroxychloroquine therapy [OR 4.13, 95% CI 1.21–14.07; p = 0.020]. Conclusions: Ethnic disparities were observed in the early attainment of the treatment targets, as well as in organ damage accrual within the Malaysian multi-ethnic SLE cohort. The significant association between the delay in achieving the treatment targets and organ damage underscores the importance of adopting an early treat-to-target approach in SLE management. Full article

Contemporary problems ranging from allergies, myopia, and obesity to chronic anxiety, loneliness, and ultralow fertility can be understood as consequences of evolutionary mismatch intensified by the polycrisis, in which accelerating technological and socioeconomic changes push human adaptations beyond what they evolved to handle. We sought to provide a conceptual review that maps these problems to adaptive needs that are disrupted in highly modernized environments. We then introduce the social evolutionary mismatch and competition hypothesis, which proposes that social aspects of evolutionary mismatch—e.g., increasing population sizes, fragmented communities, rising socioeconomic inequality, constant exposure to inflated social status cues—have a distinct effect of heightening both real and perceived competition. In turn, this perspective can help us make sense of predictable variation in psychosocial outcomes, including obsessive status pursuit, hostility, and social withdrawal. Finally, we outline strategies to lessen the impact of these dynamics by reducing sources of evolutionary mismatch. In sum, we contribute (1) an exposition of how the polycrisis exacerbates evolutionary mismatch and the adaptive needs that are impacted, (2) a theoretical advance identifying mismatch-driven competition as a predictor of multiple problematic outcomes, and (3) a translational framework showing how evolutionary insights can inform interventions to promote well-being in a time of profound societal strain. Full article

Since their discovery in 2009, perovskite solar cells (PSCs) have demonstrated rapid progress. Ambient-processed, carbon-based PSCs utilizing a pre-heating step offer a cost-effective fabrication route. Nevertheless, the role of the compact titanium dioxide (TiO₂-c) layer in ambient conditions has remained under-explored and inconsistently reported in the literature. This study then investigated the impact of TiO₂-c layer thickness, ranging from 70 nm to 155 nm, on the performance of PSCs fabricated entirely in ambient air with high relative humidity (RH > 70%). The layers were deposited via the sol-gel spin-coating method. Experimental results then revealed that the thinnest layer (70 nm) yielded the lowest average power conversion efficiency (PCE) of 2.05% due to diminished J_sc and V_oc values. The optimized TiO₂-c thickness was also identified at 95 nm, achieving an average PCE of 2.95% and a peak efficiency of 4.5%. Structural analysis via XRD confirmed the presence of both anatase and brookite phases. Notably, increasing the thickness from 70 nm to 155 nm resulted in a slight reduction in the anatase peak and a corresponding increase in the brookite peak. The superior performance at 95 nm could be attributed to a balanced crystal intensity between these two phases. Furthermore, TiO₂-c thickness was found to correlate with larger aggregate formation, better uniform shape grains, and reduced surface roughness, significantly influencing the morphology of the subsequent mesoporous TiO₂-m layer. These findings then provided critical insights into how thickness variation in the TiO₂-c layer could influence the performance of ambient-processed carbon-based PSCs. Full article

Poisoning caused by Taxus baccata is a well-known cause of sudden death in domestic animals due to the cardiotoxic effects of taxine alkaloids. This study describes two cases of fatal intoxication in donkeys (Equus africanus asinus) and demonstrates a multidisciplinary diagnostic approach combining pathology, botanical identification, and toxicology. Two animals were found dead without prior clinical signs on a farm in north-eastern Italy. Necropsies were performed, and samples were collected for further investigations. Histopathological findings were limited and non-specific, consistent with the hyperacute course typical of yew poisoning. Fragments of plant material resembling yew needles and twigs were identified in the gastric contents. Toxicological analysis using liquid chromatography–electrospray ionization mass spectrometry confirmed the presence of taxane alkaloids, supporting the diagnosis of yew poisoning. These data highlight the importance of integrating necropsy results with botanical examination and targeted toxicological analyses in cases of suspected plant poisoning. This multidisciplinary approach provides a reliable diagnostic framework for confirming yew poisoning in veterinary investigations. Full article

Global climate change is reshaping Central European conifer forests, affecting growth and ecosystem dynamics. At the same time, tree species differ in their productivity and responses to climatic conditions. Across mid-elevation monocultures of European yew (Taxus baccata L.), Norway spruce (Picea abies [L.] Karst.), Scots pine (Pinus sylvestris L.), silver fir (Abies alba Mill.), and European larch (Larix decidua Mill.), we quantified stand structure, volume, biomass carbon sequestration, and growth–climate responses (1971–2023). Silver fir reached the highest stand volume (711 m³ ha⁻¹), with lower productivity in pine (−17.0%), larch (−22.9%), spruce (−26.0%), and yew (−70.6%). In contrast, larch maximised biomass carbon sequestration (267.7 t ha⁻¹), whereas yew had the lowest value (87.7 t ha⁻¹), but the greatest stand diversity (except high differentiation), while pine showed the lowest diversity. Radial growth was most constrained by warm Junes and dry Julys; an early-season multi-month drought compounded by heat further suppressed radial increments, and severe winter frosts added stress. Among the studied species, spruce was the most climate-sensitive, whereas fir and pine showed comparatively more resilience. From a practical forestry perspective, promoting structurally diverse stands with high production potential and prioritising climate-resilient tree species, especially fir, can help sustain production and stability at mid elevations under climate warming. Our results provide species-specific benchmarks for adaptive silviculture and identify the seasonal windows when growth is most vulnerable. Full article

Employees were required to adopt new working methods within a very short time frame during the COVID-19 period through digitalization. While digitalization has been largely perceived as an enabler during the pandemic, its impact on employee health and well-being remains complex and underexplored, particularly in the public sector, where employees have less discretion to adapt digital tools. This study examines how rapid workplace digitalization during COVID-19 affected employee health and well-being in the public sector. Drawing on the job demands–resources (JD-R) framework, we focus on three specific forms of digital work—digital meetings, digital clearance, and digital training—selected because they represent distinct theoretical pathways through which digitalization affects well-being, such as digital meetings and digital training can increase job demands that can deplete employee energy and increase stress, whereas digital clearance operates as a job resource that reduces bureaucratic hurdles and enhances autonomy. To test these ideas, this study uses data from the 2020 Australian Public Service Commission Census (n = 108,085), and applies ordinal and multinomial generalized structural equation modeling (GSEM) to assess the effects of three new ways of working—digital meetings, digital clearance, and digital training—on employees’ health and well-being, as well as the mediating roles of organizational support. The results demonstrate that while digital clearance is positively associated with employee health and well-being, digital meetings and digital training are negatively associated. Organizational support mediates these relationships, underscoring its importance in mitigating adverse effects. These findings highlight the mixed consequences of digitalization for public employees’ health and well-being and point to the need for supportive organizational strategies in times of crisis. As a practical implication, this study suggests that public sector organizations should prioritize employee mental health in teleworking policies, adopt employee-centered digital transformation strategies that provide adequate resources and training support, and implement digital clearance processes that enhance employee well-being, particularly during a crisis. Full article