Search Results (206)

In underwater navigation, MUVs risk damage from obstacles and equipment. Effective damage management supports timely decisions and maximizes functionality recovery. Existing approaches can be roughly categorized into rule-based reasoning, case-based reasoning and expert systems. However, the primary limitation of the existing approaches is their inability to adapt to dynamically changing scenarios. In this paper, an auxiliary decision-making system (ADMS) for manned underwater vehicle (MUV) damage management based on deep reinforcement learning (DRL) is proposed to address the problem of cabin flooding. This system is designed to provide auxiliary decision-making in emergency situations and help preserve MUV vitality. Furthermore, a comprehensive States–Actions cluster encompassing various damage management measures for real damage scenarios is constructed and digitized. Moreover, several novel reward functions are developed to ensure the DRL model obtains a safe strategy with ADMS operations. Finally, the MUV buoyancy and stability vitality evaluation criteria are defined and analyzed. The simulation results show that the auxiliary decision-making measures given by the ADMS in the damage state are effective and rational. The evaluation criterion for buoyancy vitality can exceed 38%, while the criterion for stability vitality can surpass 92%, with an optimal value exceeding 99%. Full article

Diesel engine emissions remain a concern because of their environmental and health impacts. Homogeneous charge compression ignition experiments on low-speed two-stroke marine diesel engines are costly, risky, and limited by scarce transient data. To address this issue, a one-dimensional/zero-dimensional AVL BOOST-ANSYS CHEMKIN coupled framework was established for an MAN B&W 6S50MC low-speed two-stroke marine diesel engine, providing a reasonable approach under data-limited conditions. The framework provided key initial conditions for detailed chemical-kinetic analysis and was used to examine methyl decanoate (MD)/di-n-butyl ether (DBE) blends with 0–20% DBE. The results indicate that DBE addition alters the balance between aromatic growth and oxidative removal and enhances low-temperature chain branching, while the increased peak temperature raises nitrogen oxides (NO_X) emissions. To relate these mechanistic results to engineering evaluation, the weighting scheme of the IMO NO_X Technical Code 2008 test cycle was introduced. Pyrene and its isomers and NO_X were treated by weighted normalization, followed by Pareto analysis and TOPSIS methods. MD90 (90 vol% MD and 10 vol% DBE) showed the best emissions trade-off over a wide range of weighting settings, which may provide useful guidance for optimizing oxygenated fuel blending ratios. Full article

Scaffold-related falls remain a major safety concern in demolition projects, where temporary access systems are frequently erected, modified, used, and dismantled under changing structural and site conditions. These characteristics complicate risk prioritization because scaffold failures may involve interacting human, technical, organizational, and environmental factors. This study develops an expert-based risk prioritization framework for scaffold-related fall risks in demolition projects by integrating Failure Mode and Effects Analysis (FMEA), interval neutrosophic fuzzy (INF) theory, Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Multi-Attributive Border Approximation Area Comparison (MABAC). Using the 4M1E perspective, namely Man, Machine, Material, Method, and Environment, 37 demolition-specific failure modes were identified through literature review and expert elicitation. Ten experts evaluated these failure modes using the SODE criteria, namely Severity, Occurrence, Detection difficulty, and Expected Cost impact. INF theory was used to represent uncertainty, hesitation, and judgmental variation in expert assessments. INF-DEMATEL was applied to examine interrelationships among the SODE criteria and derive interdependence-aware criterion weights, while INF-MABAC was used to rank the failure modes according to their distance from the Border Approximation Area. The framework was illustrated through an empirical application in Taiwan’s demolition industry. The results identified Severity as the most influential criterion. The highest-priority failure modes were insufficient safety awareness, improper scaffold-to-structure anchoring, and inadequate scaffold maintenance and inspection governance. Comparison with risk priority number (RPN)-based methods and sensitivity analyses using expert exclusion and Severity-weight variation showed that the ranking was generally consistent and reasonably stable under the tested conditions. The proposed framework provides a structured, uncertainty-aware decision-support procedure for identifying prevention priorities in demolition scaffold operations. Full article

Today, it is common practice to distinguish something as intelligent or unintelligent based on its origin or behavior. One of the biggest discoveries of evolutionary biology is rapid evolution, which permeates every layer of the natural world. This is where natural glimpses of microevolutionary forms can be observed, revealing living organisms’ adaptive capacities converging towards intelligent behavior. In comparison, according to a Kantian postulate, encompassing ethical and anthropological conditions, nature acts for man until he is capable of acting with free intelligence; that is, until reason is fully realized to guide men towards performing morally good actions. This deliberation concerns humans acting with commendable conduct in a unified concept of will through reason to grasp not simply intelligence but a logical faculty that shapes our sense of duty. In Kant’s view of nature, this study posits in non-human animals’ signs of free intelligence in accidental relations with external agents, reaching an admirable display of ingenious abilities, as displayed in Kanzi and the South African beetle. Although it is difficult at times to distinguish purely reflex actions, humans’ reasoning strategies are not capable of reaching Kant’s practical maxims as a tool for achieving the greatest well-being necessary for all mankind. Full article

The position presented in Concluding Unscientific Postscript to “Philosophical Fragments” published under the pseudonym Johannes Climacus—crystallized in the infamous declaration that truth is subjectivity—has often been interpreted as dramatically upholding the rift between the Christian faith and common-sense reason. Through a comparison with Kant’s approach in philosophy of religion, I explain why such a response naturally arises. I then take a stab at making sense of Climacus’ position by comparing his account of faith in the historical God-man with contemporary analytic accounts of hope. The structural similarity between the two suggests that divine incarnation may not be all that puzzling as an object of hope, as it can be judged as morally useful within the framework of Kant’s practical philosophy. The question, then, is whether Climacus is justified in going beyond demanding hope and calling instead for faith, an absolute yes to Jesus. His crucial move is to frame our proper relationship to this person as a case of unconditional love. I take this move to establish Climacus’ subjective truth as a sensible aspirational ideal within Kant’s bounds of mere reason, although it never comes into full possession of finite humans. Full article

In the present qualitative study, we first synthesize research to clarify the concept of error in science as developed by epistemologists, philosophers, and historians. We also examine the concept of error in educational science, drawing from studies on science learning and teaching. To do this, we analyzed references found through a systematic review of books and journals. We also selected published articles on the history of physics and chemistry and consulted documents authored by scientists in English or in official translations. We guided our selection by choosing sources relevant to conceptualizing error in scientific and educational contexts. Our key findings show two categories of scientific error: those that have contributed to scientific progress and those that have hindered it. Some renowned scientists, such as Aristotle and Buridan, put forward theories of force and movement that were later shown to be false. However, these errors did not always impede scientific advancement. This research highlights how scientific errors have shaped the evolution of science and reveals insights into the scientific process and the resilience of the scientific community. In science education, researchers use various terms such as “student naïve reasoning,” “students’ alternative conceptions,” “students’ alternative theory,” and “misconceptions.” Students’ errors, like scientific errors, can be classified into two categories. The first type involves errors from distractions, misunderstandings, or unintentional mistakes. The second type results from students’ interactions with many natural and man-made phenomena, the common language used in society (which differs from scientific language), and errors passed down by teachers or found in textbooks. Finally, we note that identifying errors among scientists and students supports the development of strategy-based teaching for meaningful science learning. From this perspective, students will be pleased to know that some of their conceptions of force and motion are “similar” to those developed by Aristotle and Buridan, even if these conceptions are false relative to those developed by Galileo and Newton. Recognizing both scientists’ and students’ errors is essential for creating teaching strategies that promote deeper science learning. Full article

We analysed data collected at the Innsbruck Alpenzoo (Tyrol, Austria) over 33 years (1988–2020). We examined data from 4542 wild birds of 137 species that were rescued in the increasingly urbanised and densely populated Inn Valley around Innsbruck and examined the outcome of hospital treatment (survival or death); for a subgroup of 3440 birds, we examined the length of stay at the zoo. The birds were divided into nine different groups, and the reasons for admission were divided into nine categories to analyse how the reasons for admission and membership of a bird group influences rehabilitation success and the duration of care required. Orphaned birds, birds that had become entangled in man-made structures, and birds with unknown reasons for admission had the best survival rates (60%), while birds with physical injuries, victims of collisions, and attacks by cats had the lowest survival rates (37%). Survival rates were highest among areal insectivores (66%) and waterbirds (62%), and lowest among small songbirds (45%) and woodpeckers (<39%), which suffered disproportionately from the consequences of window collisions. The overall survival rate of hospitalised birds (51%) was higher, and the duration of care required (median 11 days) was especially shorter at Innsbruck Alpenzoo than at most other rehabilitation centres. We attribute this mainly to the professional care and varied, group-specific diet provided to the patients, which we describe in detail. We also discuss the problems and limitations of wild bird care for zoo staff in addition to their daily tasks. Thereby, it became apparent that the retirement of experienced bird carers at the beginning of the study period and the subsequent steady changeover of staff members had a negative impact on success rates. Full article

Rating curves are derived from the combined measurement of water levels and discharges in rivers. This curve is used to convert observed water levels into flow rates, thereby generating discharge time series. Traditionally, rating curves are computed using exponential regression, which often neglects the underlying hydraulic conditions. Consequently, such curves may provide reasonable estimates of average flow but become unreliable under extreme conditions (e.g., high water levels). This research proposes a strategy for estimating discharge at high water levels using hydraulic modelling to support designers and practitioners in interpreting the upper range of the stage–discharge relationship. The methodology was applied to assess the rating curve for high flows in the Magdalena River at the Magangué reach (Bolívar, Colombia). Daily discharge records from 1974 to 2023 were analysed. The maximum historical discharge recorded was 11,127 m³/s (in 2010), while the mean annual peak discharge was 7904 m³/s. The proposed methodology yielded Manning’s roughness coefficients ranging from 0.046 to 0.052 and achieved satisfactory performance, with a Nash–Sutcliffe Efficiency (NSE) of 0.99. Results demonstrated that the traditional regression-based method tends to underestimate maximum discharges relative to a properly calibrated upper section of the rating curve. The analysis revealed systematic underestimation by the conventional approach, with discrepancies of up to 4.2% in determining maximum discharges. These findings emphasise the importance of incorporating hydraulic modelling to refine rating curves for high-flow conditions, thereby improving the reliability of design discharges. Full article

SCADA systems, widely used in critical infrastructure, are becoming increasingly vulnerable to complex cyber threats, which can compromise national security. This study presents an artificial intelligence-based approach aimed at the early and reliable detection of cyberattacks against SCADA systems. The study physically scaled the SCADA communication architecture of a hydroelectric power plant and created a suitable test environment. In this environment, in addition to the benign normal state, attack scenarios such as Man-in-the-Middle (MITM), Denial-of-Service (DoS), and Command Injection were implemented while the process created for the system’s operation was running continuously. While the scenarios were being implemented, the SCADA system was monitored, and network data flow was collected and stored for later analysis. Basic machine learning algorithms, including KNN, Naive Bayes, Decision Trees, and Logistic Regression, were applied to the obtained data. Also, different combinations of these methods have been tested. The analysis results showed that the hybrid model, consisting of a Decision Tree and Logistic Regression, achieved the most successful results, with a 98.29% accuracy rate, an Area Under the Curve (AUC) value of 0.998, and a reasonably short detection time. The results demonstrate that the proposed approach can accurately classify various types of attacks on SCADA systems, providing an effective early warning mechanism suitable for field applications. Full article

Background and Clinical Significance: Eosinophilic liver abscess (ELA) is a rare benign condition that can mimic malignant liver tumors on imaging studies. The diagnostic challenge is further compounded when 18F-FDG PET-CT demonstrates high metabolic activity. Case Presentation: A 39-year-old man presented with abdominal pain, jaundice, and marked peripheral eosinophilia (34%). Imaging revealed a single liver mass with intense FDG uptake (SUVmax 10.8), highly suspicious for intrahepatic cholangiocarcinoma (ICC). Parasitic serologies were negative. Surgical resection revealed eosinophilic infiltration without malignancy. The patient remained disease-free at 1-year follow-up. Conclusions: ELA can closely mimic ICC on PET-CT, with high FDG uptake representing a significant diagnostic pitfall. This case underscores the importance of considering ELA in the differential diagnosis of hypermetabolic liver masses in patients with peripheral eosinophilia and highlights that surgical resection remains a reasonable approach when malignancy cannot be excluded. Full article

Triticale, a man-made cereal, has been grown worldwide since the 1980s in order to replace established cereals in difficult areas, at least partially. The present cultivars are mostly hexaploid genotypes with 42 chromosomes, of genomic structure AA BB RR. Their agricultural performance does not meet all breeding requirements. In particular, some technological characteristics are inadequate compared to tetraploid (durum) and hexaploid (soft) wheats. Therefore, we aimed to find ways to improve modern triticale varieties by targeted introgression with genes and even chromosomes from wheat, in particular, from the D genome. Through appropriate bridge crossings and embryo culture technique and under cytogenetic control, a series of new stable hexaploid lines with reasonable agronomic stability were finally produced. All of them carried a complete D sub-genome, a complete R sub-genome, plus a mixed genome consisting of various combinations of chromosomes derived from the A and B genomes representing the seven homoeologous groups. It is clear that such mixed genomes can be of genetic and breeding significance. These large introgression lines demonstrate the flexibility of genome organization and offer the opportunity for further regulatory and genetic optimization. Full article

This study examines Richard of Saint Victor’s conception of wisdom and love, understood as the ultimate ends of human life and deeply connected with the notion of care. For Richard, authentic care requires discerning the true object of concern: the human being as a rational creature created for happiness through knowledge and love of God. His anthropology highlights the dignity of man, composed of body, reason, and affection, and called to participate in divine happiness. Richard develops a spiritual pedagogy in which the ordering and moderation of affections—fear, sorrow, hope, love, joy, hatred, and modesty—are indispensable for the path toward contemplation. Through an allegorical reading of Jacob, his wives, and their children, Richard presents a symbolic itinerary where the progression of affectivity and reason leads ultimately to contemplation, embodied in Benjamin. This contemplative fulfillment transcends both fear and greed, liberating the human being from self-centeredness and opening him to love and divine wisdom. The work demonstrates Richard’s synthesis of Platonic, Augustinian, and Victorine traditions, proposing a transformative vision of the human person: happiness is inseparable from love, and wisdom is achieved not through rational argument but through the lived experience of love that surpasses reason. Full article

Drury reports Wittgenstein telling him, “I am not a religious man but I can’t help seeing every problem from a religious point of view, I would like my work to be understood in this way”. My paper attempts to make sense of this strange claim. I first consider the meaning Wittgenstein gives to ‘religious’ in speaking of questions he explicitly designates as such, and then explain how that (sort of) meaning could also apply to the (other) characterisations he provides of his philosophical work. I also consider the subsidiary question, and suggest two very different reasons as to why Wittgenstein nonetheless did not consider himself ‘a religious man’. While I find much confusion in what Wittgenstein says about religion, his crucial insight is that both religious and philosophical thinking are characterised by the same kind of difficulty. Both spring from our moral–existential confusion and despair over finding, or accepting the sense we find, in our life with others. In the later parts of this paper, I show how the metaphysical I–world perspective of the Tractatus (the first specific form taken by Wittgenstein’s own ‘religious point of view’) exemplifies this very rootedness of philosophical/religious thinking in despair, and how in Wittgenstein’s later philosophy, including in some of his later explicitly religious remarks, an I–You perspective starts to emerge, one where our difficulties in sense-making are seen as the other side of our difficulties in opening ourselves to each other in love. I also suggest, however, that an unresolved tension nonetheless remains in Wittgenstein’s late thinking between an I–You orientation and a focus on collective normativity. Finally, I suggest that foregrounding love tends to dissolve the very idea of specifically ‘religious’ problems quite generally, and so leaves us with a double question about how to understand religion as such, and about whether, or how, we can give coherent sense to Wittgenstein’s idea that his point of view is specifically ‘religious’. Full article

Secure authentication in vehicular ad hoc networks (VANETs) remains a fundamental challenge due to their dynamic topology, susceptibility to attacks, and scalability constraints in multi-hop communication. Existing approaches based on elliptic curve cryptography (ECC), blockchain, and fog computing have achieved partial success but suffer from latency, resource overhead, and limited adaptability, leaving a gap for lightweight and hardware-rooted trust models. To address this, we propose a multi-hop mutual authentication protocol leveraging Physical Unclonable Functions (PUFs), which provide tamper-evident, device-specific responses for cryptographic key generation. Our design introduces a structured sequence of phases, including pre-deployment, registration, login, authentication, key establishment, and session maintenance, with optional multi-hop extension through relay vehicles. Unlike prior schemes, our protocol integrates fuzzy extractors for error tolerance, employs both inductive and game-based proofs for security guarantees, and maps BAN-logic reasoning to specific attack resistances, ensuring robustness against replay, impersonation, and man-in-the-middle attacks. The protocol achieves mutual trust between vehicles and RSUs while preserving anonymity via temporary identifiers and achieving forward secrecy through non-reused CRPs. Conceptual comparison with state-of-the-art PUF-based and non-PUF schemes highlights the potential for reduced latency, lower communication overhead, and improved scalability via cloud-assisted CRP lifecycle management, while pointing to the need for future empirical validation through simulation and prototyping. This work not only provides a secure and efficient solution for VANET authentication but also advances the field by offering the first integrated taxonomy-driven evaluation of PUF-enabled V2X protocols in multi-hop Wi-Fi environments. Full article

Calcium aluminate cement (CAC) offers rapid strength development, chemical durability in harsh environments, and high-temperature resistance, but its long-term performance may be compromised by the conversion of metastable hexagonal hydrates into stable cubic phases. Concurrently, recycling spent fluorescent lamp glass (SFLG) is limited because of its residual mercury content. This study investigates the use of manually (MAN) and mechanically (MEC) processed SFLG as partial CAC replacements (up to 50 wt.%). Both SFLG types had irregular morphologies with mean particle sizes of ~20 µm and mercury concentrations of 3140 ± 61 ppb (MAN) and 2133 ± 119 ppb (MEC). Moreover, the addition of SFLG reduced the initial and final setting times, whilst MEC waste notably extended the plastic state duration from 20 min (reference) to 69 min (50 wt.% MEC). Furthermore, strength development was accelerated, with SFLG/CAC mortars reaching peak strengths at 7–10 days versus 28 days as in the CAC reference. CAC and 15 wt.% SFLG mortars showed strength loss over time by reason of their phase conversion, whereas mortars with 25–50 wt.% SFLG experienced significant long-term strength gains, reaching ~60 MPa (25 wt.%) and ~45 MPa (35 wt.%), respectively, after 365 days, with strength activity indexes (SAI) near 90% and 70%, respectively. These improvements are attributed to the formation of strätlingite (C₂ASH₈), which stabilized hexagonal CAH₁₀ and mitigated conversion to cubic katoite (C₃AH₆). Mercury leaching remained below 0.01 mg/kg dry matter for all mixes and curing ages, classifying the mortars as non-hazardous and inert under Spanish Royal Decree 646/2020. The results suggest that SFLG can be safely reused as a sustainable admixture in CAC systems, enhancing long-term mechanical performance while minimizing environmental impact. Full article