Abstract: The environmental impact of traditional academic publishing remains a neglected variable in global climate models. This paper introduces the Academic Carbon Load (ACL) metric to quantify the CO2 equivalent (CO2e) of the peer-review process. By analyzing the life cycle of manuscripts in high-impact journals versus predatory journals, we demonstrate that the “Reviewer 2 Effect” accounts for an estimated 1.5 million metric tons of excess CO2 annually. We further show that predatory publishing—characterized by rapid acceptance and minimal editorial friction—represents an optimized, low-energy alternative essential for achieving net-zero academia by 2030. Our findings challenge the prevailing assumption that scientific quality and planetary survival are compatible goals.

Abstract: Fluorescence is known to occur in varying surfaces across crustacea but only cited in sporadic reports despite being a potentially important visual signal and changing with development and within moult cycles. Here, we present the occurrence of fluorescence in some common Northeast Atlantic crustaceans and highlight differences by age and sex to bring attention to this potentially important facet of their biology.

Abstract: The rapid proliferation of the Internet of Things (IoT) has positioned the Message Queuing Telemetry Transport (MQTT) protocol as a fundamental communication standard for large-scale, resource-constrained systems. Despite its lightweight design and scalability advantages, modern MQTT deployments operate under increasingly complex conditions characterized by intensive security enforcement, dynamic traffic patterns, and widespread use of wildcard subscriptions. These factors introduce tightly coupled challenges related to system performance, congestion, and security, which are often addressed independently in existing literature. This review provides a comprehensive and critical analysis of MQTT-based IoT sys-tems, focusing on the interaction between adaptive flow control, backpressure phe-nomena, security mechanisms, and wildcard-intensive access control strategies. The study synthesizes recent research on authentication, authorization, and encryption techniques, highlighting their impact on computational overhead, latency, and broker load. In parallel, it examines backpressure formation as a system-level phenomenon arising from the imbalance between message arrivals and processing rates, and evalu-ates existing flow-control mechanisms, including TCP-based approaches, broker-level controls, and MQTT v5 features such as Receive Maximum. Furthermore, the review investigates the role of wildcard subscriptions in scalable topic management, demonstrating their dual effect as both enablers of efficient data aggregation and amplifiers of routing complexity, traffic load, and security risks. The analysis reveals that wildcard usage significantly increases message fan-out and au-thorization overhead, thereby accelerating congestion and expanding the attack surface in poorly configured systems. A key contribution of this work is the identification of a fundamental gap in the litera-ture: the absence of integrated, cross-layer frameworks that jointly consider security, flow control, and wildcard behavior under realistic IoT workloads. Current approaches remain fragmented, leading to inefficiencies, reduced reliability, and potential vulner-abilities in large-scale deployments. Based on this synthesis, the paper outlines a forward-looking research roadmap that emphasizes security-aware adaptive flow control, wildcard-aware traffic optimization, cross-layer system design, and intelligent (AI-driven) management strategies. These directions are essential for enabling next-generation MQTT systems that are secure, scalable, and resilient in dynamic and adversarial environments.

Abstract: Climate-related disasters are escalating in frequency and severity, yet global adaptation finance remains reactive and insufficient. This review synthesizes disaster loss data, climate finance flows, and financial instrument evidence to address a core research question: How can innovative financial instruments and a risk-layered architecture shift climate resilience finance from reactive to anticipatory? We integrate data from the Emergency Events Database (EM-DAT), the Climate Policy Initiative (CPI), the OECD Development Assistance Committee, the Green Climate Fund, and the Artemis Deal Directory across 2010–2025. Pearson correlation analysis confirms a reactive financing pattern (r = 0.71). Fixed-effects panel regressions show that high climate policy uncertainty suppresses private adaptation investment by approximately 30%. Guarantee and catastrophe bond instruments mobilize up to 6.5 times more private capital per public dollar than concessional loans. Parametric insurance grew at a 24% compound annual growth rate (2010–2025), outpacing catastrophe bonds (7%). A 12–14 times scale-up of current annual flows (USD 25 billion) is required to meet 2030 needs (USD 325 billion). We propose a risk-layered climate finance architecture aligning instruments with distinct hazard tiers. Credible policy signals, strategic public investment, and systematic integration of insurance mechanisms are essential preconditions for unlocking scalable, anticipatory resilience finance.

Abstract: Background: Serum concentrations of 25-hydroxyvitamin D [25(OH)D] are associated with the risk of several chronic and acute diseases. However, updated data on vitamin D status in Mediterranean countries, including Italy, remain limited, hindering effective public health strategies. Objective: To assess serum 25(OH)D levels and their seasonal variation in healthy blood donors aged 18–65 years living in Northern Italy and not taking vitamin D supplements. Given the latitude and high levels of environmental pollution, cutaneous vitamin D synthesis may be impaired in this population. Recent Italian guidelines on supplementation highlight the need for updated data on hypovitaminosis D prevalence and seasonal synthesis capacity. Methods: In this exploratory cross-sectional study, 534 blood donors (268 men and 266 women) attending the Transfusion Medicine Unit of Verona University Hospital were enrolled between April 2016 and May 2018. Serum 25(OH)D concentrations were analysed according to season. Clinical, lifestyle, pharmacological and dietary characteristics were also collected. Results: Among healthy, normal-weight individuals, the prevalence of vitamin D insufficiency (25(OH)D<50 nmol/L) was low and limited to one-two months per year. Overweight and obesity significantly reduced the likelihood of achieving adequate 25(OH)D levels through cutaneous synthesis for several months. Mean 25(OH)D concentrations were higher than those previously reported in the same area, while seasonal variation remained preserved. Conclusions: Despite persistent environmental pollution, seasonal vitamin D synthesis is not impaired in this Northern Italy population. Updated data show higher 25(OH)D levels compared to past studies, supporting current recommendations against routine supplementation in healthy normal-weight individuals under 70 years

Abstract: This article is representing numerical research and modeling of autonomous unmanned underwater vehicle’s (AUUV) control system for planar motion. A mathematical model of the control system is designed for an underwater vehicle, the structure of which consists of a main thruster and control surfaces. Based on the dynamic AUUV's mathematical model two types of planar motion equations have developed: simple planar motion equations and extended planar motion equations. Both equations types include AUUV’s geometrical characteristics and hydrodynamics coefficients which have determined from computer aided design and CFD simulation. The difference between simplified and extended equations of planar motion consists in the inclusion of an additional planar coordinate and extra hydrodynamic coefficients. For each type of motion equations as input signal typical maneuverers, such as constant value, sin value and Kempf maneuverer (zig-zag maneuverer) have implemented. The system's output signals from external actions in the form of typical maneuverers the estimated of necessity of regulator. As regulator were chosen and used the PID-regulator for velocity and yaw control. The results of this study also demonstrate what the engine thrust required to achieve the desired speed, and identify which equations of motion are appropriate for specific maneuvers performed by the apparatus during its operation and mission execution.

Abstract: Most studies in the field of application technology have focused on the interaction between adjuvants and agrochemicals, highlighting the need for further research to evaluate the behavior of adjuvants in association with other classes of crop protection products. In this context, the objective of this study was to evaluate the influence of adjuvants and air velocity on spray drift deposition in simulated applications conducted in a wind tunnel using a bioinsecticide based on Bacillus thuringiensis. The experiment was carried out in an open-circuit, blower-type wind tunnel installed at the Agricultural Machinery Laboratory of the State University of Goiás – Central Campus. The study was conducted in a completely randomized design arranged in a 5 × 4 × 4 factorial scheme, with three replications. Treatments consisted of five horizontal distances from the spraying point (0.45, 0.75, 1.05, 1.35, and 1.65 m), four wind speeds inside the tunnel (1, 2, 3, and 4 m s⁻¹), and four spray solution formulations (water + dye; bioinsecticide + dye; bioinsecticide + vegetable oil + dye; and bioinsecticide + surfactant + dye). For deposition sampling, artificial targets were positioned transversely to the airflow and, immediately after spraying, were divided into lower, middle, and upper thirds relative to the height of the test section. Data were obtained by spectrophotometry and, after verifying the ANOVA assumptions, subjected to ANOVA (P &lt; 0.05). When significant, mean comparisons and regression analyses were performed. Statistical analyses were conducted using the R and Sisvar software packages. Mean deposition values were converted into drift percentage as a function of the total sprayed volume. The experimental data were also subjected to geostatistical analysis using GS+ software (Version 7®). After confirming spatial dependence, contour maps were generated using kriging. Higher wind speeds led to higher drift percentages. The use of the adjuvant Break Thru® contributed to reducing drift in the upper and middle thirds. In the lower third, at a wind speed of 1 m s⁻¹, the addition of Break Thru® reduced drift; however, at 4 m s⁻¹, adjuvants did not reduce deposition compared to the spray solution prepared with the biological insecticide. The analyzed variable showed a strong spatial dependence across all treatments.

Abstract: Human neutrophil elastase (HNE) is a central mediator of neutrophil-driven inflammation. Yet, despite decades of research and drug development, therapies targeting HNE have not consistently translated into clear clinical benefits. We suggest that this translational gap partly arises from how HNE has traditionally been conceptualized, as a single enzyme to inhibit. In biological systems, however, HNE operates within a complex and tightly regulated network of proteases and inflammatory mediators. This network is spatially compartmentalized and strongly in-fluenced by local redox conditions, making HNE activity highly context dependent. From a systems perspective, HNE acts as an amplifier of inflammation. Its extracellular activity connects several pathological processes, including activation of innate immunity, extracellular matrix degradation, disruption of epithelial and endothelial barriers, and the transition toward chronic inflammation. In this review, we integrate insights from enzymology, systems biology, and clinical research to reassess the development of HNE inhibitors, ranging from endogenous anti-proteases to more recent reversible synthetic compounds. Despite their chemical and pharma-cological diversity, many of these strategies have encountered similar limitations. We therefore argue that future therapeutic approaches should move beyond the inhibition of HNE as an iso-lated target and instead aim to modulate the broader protease network, with particular attention to drug–target kinetics and precise delivery to disease-relevant microenvironments.

Abstract: Necrotizing enterocolitis (NEC) remains one of the most devastating gastrointestinal emergencies in neonates and also presents major diagnostic challenges. Despite extensive research, NEC still lacks a practical definition and relies on a set of nonspecific clinical, laboratory, and radiological findings rather than a single pathognomonic presentation or test. The modified Bell staging system remains the most widely used framework in clinical practice and research, but it was originally developed to base the treatment decisions rather than helping in diagnosis and has important limitations when applied as a diagnostic aid. Clinical and radiological criteria used for early stages of NEC are nonspecific, progression of the disease is not always linear, radiographic signs are inconsistently present, and histopathological confirmation is unavailable in most of the cases as surgery is not undertaken in all the cases. These limitations have led to the opinion that even the modified Bell staging is “broken” when it is used to define the disease itself. At the same time, increased understanding about gut immunity and microbiome progression, and neonatal hemodynamics have made it increasingly clear that NEC is not a single uniform disease. It is now regarded as a heterogeneous syndrome comprising multiple phenotypes that share a final common pathway of intestinal injury and necrosis but differ in timing, predisposing factors, mechanisms involved, and clinical course. These presentations overlap with several neonatal conditions including spontaneous intestinal perforation, septic ileus, cow’s milk protein allergy, congenital heart disease-related intestinal hypoperfusion, viral enterocolitis, malrotation with volvulus, and intussusception. This review discusses controversies in the definition and staging of NEC, consolidates alternative diagnostic criteria proposed beyond Bell’s system, and elaborates a phenotype-based framework for clinical distinction. Also, the review throws light on the clinical mimickers, practical bedside diagnosis using serial clinical assessment and imaging, consequences of NEC, and emerging precision medicine approaches. A shift from stage-based labeling toward a practical, phenotype-informed framework may improve diagnostic precision, reduce misclassification, and enhance both clinical care and research.

Abstract: The classical Goldbach conjecture asks whether every even integer n >= 4 can be written as n = q + r with q, r prime. This paper studies a structurally distinct variant: for a prime p >= 2, let N(p) = #{ (q, r) subset of primes: q <= r, q + r = p + 1 } count the Goldbach representations of p + 1 when p itself is prime. The additional triple‑primality constraint – p, q, r all simultaneously prime – produces an arithmetic profile governed by a new constant S_∞ != 2 C_2. Proved (unconditional). The Euler product: S_∞ = ∏_{ℓ > 2, ℓ prime} ( 1 + 1/((ℓ-1)(ℓ-2)) ) = 1.74272535...converges absolutely and equals the limiting Cesàro mean of S(p+1) over shifted primes (Theorem 3.5). Two congruence theorems for Mirror and Anchor‑3 primes are proved (Theorems 4.3 and 4.6). The equivalence α_∞ = 1 / S_∞ ⇔ Ĉ(x) → 2 C_2 is established unconditionally (Proposition 5.4). Three analytic gaps in the Goldbach‑Riemann bridge for Ψ*(x) are closed unconditionally (Theorems 6.5, 6.6, 6.9), yielding the explicit formula (Theorem 6.10). Conditional (GRH, GRH+HL‑B): Under the Generalised Riemann Hypothesis the convergence rate |S̄(x) – S_∞| = O( S_∞ log x / √x ) is established (Theorem 3.6). Under GRH and Hardy‑Littlewood Conjecture B, N(p) >= 1 for every prime p > 11 is proved completely (Theorem 10.1). The parity obstruction is identified as the precise barrier to proving N(p) >= 2 by current sieve methods (Proposition 10.3).Computationally verified: N(p) >= 2 for every prime 11 < p < 6.79×10^7 (4,000,000 primes, zero violations, exhaustive Sieve of Eratosthenes). Probabilistically extended to 1000 randomly sampled 127‑bit primes p ~ 10^38 via Miller‑Rabin (k = 10 rounds), and independently to 100 samples at 512 bits (p ~ 10^154). Discrete Mellin transform experiments detect 72 of the first 100 non‑trivial Riemann zeros in the residuals ε(p) = (N(p) – N̂₃(p)) / N̂₃(p) at significance level p < 0.01 (range p in [10^6, 2×10^6], n = 70,435 primes, 200 permutations), improving the previous 21/50 result by a factor of 3.4. Class‑fraction experiments at RSA‑1024 (p ~ 10^309) and RSA‑2048 (p ~ 10^617) confirm Orphan fractions of 98% and 100% respectively, consistent with predicted density‑zero behaviour of Mirror and Anchor‑3 primes. Epistemic status: All claims carry explicit labels: [PROVED], [COND. PROVED], [COMP. VERIF.], [CONJECTURE], [NEW], [CORRECTED]. No claim is presented without its status. The central conjectures are open.

Abstract: Background: Online and blended provision has expanded rapidly in higher education, yet much of the literature still treats digital transition as a pedagogical or technological adjustment rather than an institutional transformation problem. Problem: Conventional universities, especially in African higher education, often face pressure to move online under conditions of constrained infrastructure, uneven digital access, evolving regulation, and heightened concern about academic standards. Existing scholarship is rich on course design, faculty attitudes, and learner satisfaction, but comparatively weak on the full institutional architecture required for credible transition. Objective: This article develops a university-wide framework for bringing conventional institutions online in ways that are regulatorily legitimate, academically credible, operationally resilient, socially inclusive, and financially sustainable. Research question: What institutional architecture is required to move a university from conventional face-to-face delivery to credible, quality-assured online or blended provision in African higher education? Design: A systematized integrative review combined with comparative policy analysis was conducted across peer-reviewed higher education literature and authoritative framework and regulatory documents. The synthesis drew together institutional adoption studies, quality assurance guidance, digital transformation frameworks, and policy texts, with Rwanda used as a policy-reference environment rather than a single-country case. Findings: Credible digital transition depends on the alignment of five layers: contextual boundary conditions, a steering layer of governance and policy, seven operational domains, phased implementation sequencing, and outcome-focused feedback loops. The review shows that digital provision fails when institutions treat the learning management system as the reform, underinvest in staff and student support, delay policy redesign, or reduce assessment integrity to surveillance alone. It succeeds when governance, curriculum, quality assurance, infrastructure, data governance, and financing are intentionally coupled. Principal contribution: The article contributes an original Institutional Architecture for Credible Digital Transition framework and a companion University Online Readiness and Transition Toolkit comprising a readiness rubric, phased roadmap, and policy checklist. Implications: The framework offers an actionable basis for institutional leaders, regulators, and scholars seeking to design, evaluate, and sequence digital transition in African higher education without reproducing techno-solutionist assumptions.

Abstract: Composite wing structures are widely used in unmanned aerial vehicles (UAVs) because of their high specific strength and stiffness, but they are vulnerable to localized impact events such as tool drops, runway debris and small bird or drone strikes. In many aerospace applications, carbon fiber–reinforced polymers (CFRP) are preferred for their high stiffness and weight efficiency, although they tend to fail in a brittle manner and are expensive. E-glass fiber composites, on the other hand, are tougher and cheaper, but usually considered less competitive in stiffness and impact resistance. This study numerically investigates the impact resistance of optimized E-glass fiber composite UAV wing skins compared with aerospace-grade carbon fiber skins, both supported by balsa-wood cores. A 3D finite element (FE) model of a 600 mm semi-span UAV wing segment was developed in Abaqus/Explicit, with a user-defined VUMAT implementing an orthotropic elastic law and a Hashin-type progressive damage model. A rigid spherical impactor (radius 8 mm) with various mass velocity combinations (0.5 kg at 5000 and 10 000 mm/s, and 1.0 kg at 20 000 mm/s) was used to represent low, medium and high energy impacts. E-glass material sets were defined and gradually improved, within realistic mechanical limits derived from published E-glass/epoxy systems, until a “maximum experimental limit” E-glass configuration was obtained. This optimized E-glass wing skin was then compared with carbon-fiber configurations taken as benchmark aerospace. The comparison is based on peak contact force, penetration or non-penetration, absorbed energy, and damage extent in the skin and sub-structure. The study also proposes a coupon- and sub-component-level experimental programme to validate the numerical predictions using drop-weight impact tests on E-glass and carbon-fiber laminates and on a scaled UAV wing segment. These findings indicate that suitably engineered E-glass composites can be a viable, cost-effective alternative to carbon fiber for impact-resistant UAV wing structures.

Abstract: Introduction: Educational systems have historically adapted to incorporate technological innovations, but the success of these processes may vary greatly. Some tools become embedded in established processes, while others lead to radical transformation. In this paper, we examine the development of educational technology and recommend and critique certain technologies that facilitate existing industrial education approaches and others that require the restructuring of how educational aims and methods are defined and implemented. Purpose: This study aims to evaluate this optimization-restructuring schism in a systematic manner. We seek to show, through a century of technological transformation, that 20th-century technologies were primarily appropriated to sustain standardization and efficiency, while 21st century artificial intelligence (AI) is an unassimilable phenomenon in need of epistemological and pedagogical reworking. Method: The methodology of this research uses a Comparative Historical Analysis (CHA) approach of four critical educational technologies: the ballpoint pen, the personal computer, the internet, and artificial intelligence. This analysis is guided by a new six-dimensional architecture assessing impacts on: (1) Access & Equity, (2) Pedagogical Transformation, (3) Epistemological Foundations, (4) Student Agency & Role, (5) Teacher Role & Identity, and (6) Institutional & Systemic Effects. Each dimension was systematically coded for optimization versus restructuring impacts based on historical evidence. Results: In our analysis, we determine a distinct historical stalemate of the gravity of optimization, whereby the transformational potential of the pen, PC, and (to a smaller degree) internet, was expropriated to scale up and institutionalize the industrialized education model. Nonetheless, AI has inherent duality: it may be used as a tool of optimization (automated grading, content generation) or used as an agent of restructuring (co-creation, critical inquiry). Its capacity to generate an epistemic disruption is that it questions the authority of authorship and knowledge, renders standardized assessment somewhat redundant, and reinvents learning as a process of critical analysis and human-AI co-creation. The outcome depends on deliberate institutional choices. Conclusion: The findings suggest that the introduction of AI will have to leave the historical trends of technological assimilation behind. This will require radical policy and pedagogical shifts, such as new paradigms of assessment whose focus is on human skills, the implementation of powerful ethical AI governance systems, and the re-imagining of teacher roles as ethical mentors and facilitators of learning. The future of education relies on steering this restructuring, which is inevitable, with a commitment to equity and human-centric values.

Abstract: Climate change poses significant challenges to the operation and safety of dam and reservoir (D&amp;R) systems, particularly in regions characterized by water scarcity and high climate variability. This study presents a structured methodology for climate risk assessment that integrates regional climate projections, system-specific thresholds, and a semi-quantitative risk matrix approach. A key innovation is the explicit linkage between climate indicators and system performance through physically based thresholds, combined with empirically derived exceedance probabilities from high-resolution climate projections. The methodology is applied to the Almopeos D&amp;R system in Northern Greece using an ensemble of statistically downscaled CMIP6 simulations under two emission scenarios (SSP2-4.5 and SSP5-8.5) and two future periods (2041–2060 and 2081–2100). Three climate indicators are analyzed: TX35 (temperature extremes), CDD (consecutive dry days), and Rx1day (extreme precipitation). Results indicate that temperature increase is the dominant climate risk hazard, leading to increased irrigation demand and reduced system reliability, with risks classified as high to very high. Drought conditions represent a secondary but important risk, becoming critical during prolonged dry periods affecting reservoir storage, while extreme precipitation events exhibit low likelihood but potentially high consequences for dam safety. Adaptation measures are prioritized using a qualitative multi-criteria approach, highlighting the effectiveness of operational measures, while structural and monitoring interventions remain essential for ensuring system safety. The proposed methodology provides a transparent and transferable framework for climate-resilient planning of water infrastructure systems.

Abstract: Laminated Veneer Lumber (LVL) is engineered product produced by adhesively bonding fast growing Poplar veneers. Comparing dimensional lumber, LVL provides better use rate and fulfills structural wood requirement for wood structure building. And have proven this thing about the lateral mechanical properties for LVL shear walls, also have done investigations into what the hold downs and the loads of those that get put into it do to them when trying out these types of things in an effort to study their lateral mechanical workings. Comparisons with different types of wooden shear wall structures were carried out for this reason. According to the research data obtained through experiments and analyses, suggestions were proposed to designers regarding how they might go about designing hold-down devices in cases wherein these were employed with respect to particular kinds of shear walls which themselves had their own particular features and attributes.

Abstract: CH₃NH₃PbBr₃ (MAPbBr₃) single crystals have shown great potential in X/γ-ray detection. However, stable electrodes for MAPbBr₃ single crystals still remains challenging. In this work, multi-layer electrodes including Au, Au/Ti and Au/Pt/Ti are investigated. Through I-V characterization, Au/Pt/Ti shows Ohmic contact behavior and lowest dark current. The potential contact is also confirmed by Kelvin force probe. Based on this low noise electrodes, 59.5 keV monochromatic X-ray photon counting detection and imaging is demonstrated. This work provides useful information for electrodes design in lead halide perovskites-based optoelectronic devices.

Abstract: The article discusses the methods for classifying processes for testing and processing metals by plastic deformation, based on the characteristics of their stress-strain state. The basic methods for determining the stress and strain states using fundamental scalar quantities representing the stress and strain tensors are discussed. Equations have been derived for the quantitative determination of the type of stress-strain state through a combination of principal stresses, represented as the strain rigidity of the deformation mode. A classification of deformation processes for testing and processing metals by plastic deformation is proposed, using the stress triaxiality parameter and the strain rigidity coefficient. Some 2D and 3D diagrams have been created based on simulation modeling of plastic deformation processes using virtual tools, allowing the grouping of processes according to the measured principal stresses and their combinations, which represent the stress triaxiality and strain rigidity of the deformation mode. By determining the type of grouping in these diagrams and the change in the stress-strain state with increasing strain levels, the characteristic features of the deformation processes used in materials testing and in the processing metals by plastic deformation of metals/alloys have been confirmed.

Abstract: The delimitation of cryptic species represents one of the main challenges, particularly in groups with low external morphological differentiation. In this context, scanning electron microscopy (SEM) enables the detection of diagnostic characters at the microscale. This study evaluates the potential of ocular morphology for interspecific discrimination within a group of species of the genus Temnothorax. A total of 246 workers from 52 nests, 13 populations, and 8 species from the Iberian Peninsula and North Africa were analyzed. Morphometric variables related to compound eyes were quantified from SEM images (ommatidia number, interommatidial setae, eye diameter). Data were analyzed using ANOVA, effect size estimation (η²), Linear Discriminant Analysis (LDA), and Random Forest models. All variables showed significant differences among species (p < 0.001), with varying discriminative power. Variables related to ommatidial organization exhibited the highest classification performance, achieving high rates of correct species assignment in multivariate analyses. The use of nest-level means values substantially improved classification accuracy. These results demonstrate that ocular morphology analyzed through SEM represents a promising complementary tool for species discrimination in Temnothorax, complementing traditional and molecular approaches.

Abstract: This study develops a comparative screening framework for evaluating the feasibility of low-temperature clinker production using waste-derived raw meals under melt-phase and Fe-in-liquid constraints. The work addresses the need to connect two strategies for lower-emission cement manufacture that are often discussed separately: partial substitution of conventional raw materials with waste-derived inputs and reduction of clinker burning temperature through mineralized processing. A secondary-data analysis was conducted using selected open-access case studies and an open-access spreadsheet dataset, from which quantitative variables related to composition, process conditions, clinker formation, and cement performance were extracted and compared. The results show that feasibility depends not only on burning temperature, but also on major-oxide compatibility, minor-element constraints, burnability, clinker phase balance, melt-related indicators, and final cement performance. In the waste-substitution benchmark, MSWI bottom ash was compositionally feasible only within a limited substitution range controlled by Fe2O3 content. In the mineralizer benchmark, a reduction in burning temperature from 1450 ∘C to 1350 ∘C was found to be a practical benchmark for reduced-temperature clinker production, whereas further reduction to 1300 ∘C required stronger chemical assistance and led to performance penalties. Overall, the proposed framework distinguishes favorable, conditionally feasible, and constrained pathways and provides a basis for screening candidate systems before experimental validation.

Abstract: Alcohol use disorder (AUD) is a major contributor to global disease burden and a leading cause of preventable death, yet available treatments remain modestly effective. Although rodent models are widely used to study alcohol-related behaviors and guide pharmacotherapy development, many treatments with strong preclinical efficacy fail clinically. Here, we propose a reward-component framework that separates ethanol intake into four components: pre-oral, oral, post-oral peripheral, and post-oral central drug rewards. Synthesizing behavioral, pharmacological, and neurobiological evidence, we find that the component primarily sustaining high ethanol intake in rodents remains unclear, with intake reflecting mixed oral and post-oral rewards. In contrast, human AUD is predominantly sustained by post-oral central drug reward, creating a translational misalignment in pharmacotherapy testing. Pharmacotherapies act across multiple components, and translational failure may arise from misalignment between the components sustaining drinking in rodent models and human AUD. This framework provides a basis for developing more predictive preclinical models and more effective pharmacological interventions.