Abstract: We develop a diagnostic framework for evaluating when LLM self-evaluation can be trusted. The framework's central results are: (1) under a shared-blind-spot modeling assumption with joint conditional independence of evaluations given the shared failure structure, k rounds of self-critique provide information about correctness bounded by what the shared latent failure variable Z mediates---not by any independent channel---so that confidence accumulated through repeated self-evaluation reflects the shared failure structure rather than independently accumulated evidence; and (2) a selector satisfying two independently measurable sufficient conditions---bounded false-acceptance and true-acceptance exceeding that bound---provides a quantifiable lower bound on evidence about correctness. Both results are conditional on explicit modeling assumptions. We also prove an information-theoretic bound showing that self-evaluation is bounded in what it can add when a shared latent failure structure mediates both generation and evaluation errors; we foreground this as scaffolding rather than a primary contribution, since the latent variable requires independent operationalization to give the bound empirical bite.The diagnostic framework identifies what to measure to determine whether a deployed system is in the failure regime, and what properties an external selector must have to escape it. We describe design principles for an architecture motivated by this analysis; same-model context separation is an engineering heuristic, not a theoretical solution, and we present it as a practical starting point pending empirical validation.

Abstract: Abstract Background: Mobile health has been increasingly integrated into tuberculosis care to support patient education, communication, and treatment engagement. However, evidence remains limited regarding whether positive engagement with mHealth is associated with knowledge, attitudes, and practices among patients with multidrug-resistant tuberculosis. This study aimed to evaluate the psychometric properties of a positive mHealth engagement score and to examine its association with knowledge, attitude, practice, and total KAP among patients with multidrug-resistant tuberculosis. Methods: A cross-sectional study was conducted among patients with multidrug-resistant tuberculosis. A positive mHealth engagement score was constructed from 12 mHealth-related items after harmonizing item directionality so that higher scores indicated more favorable engagement. Internal consistency was assessed using Cronbach’s alpha and corrected item-total correlations, and structural validity was explored using principal component analysis. Adjusted linear regression models were used to examine associations between the engagement score and Knowledge, Attitude, Practice, and total KAP scores, controlling for age, sex, and occupation. Sensitivity analyses were performed after excluding a poorly performing item, and tertile analyses were used to assess dose-response patterns. Results: The positive mHealth engagement score showed good internal consistency, with a Cronbach’s alpha of 0.852. One item demonstrated poor psychometric performance, and Cronbach’s alpha increased to 0.864 after its exclusion. The data were suitable for dimensionality assessment, with a Kaiser-Meyer-Olkin value of 0.870 and a significant Bartlett’s test. Principal component analysis identified a dominant first component explaining 43.29% of the total variance. Using the refined score, higher positive mHealth engagement was significantly associated with higher Knowledge scores (β = 2.06; 95% CI: 1.28–2.85; p < 0.001), higher Attitude scores (β = 4.68; 95% CI: 3.30–6.06; p < 0.001), and higher total KAP scores (β = 6.68; 95% CI: 4.62–8.74; p < 0.001), whereas no significant association was observed for the Practice score (β = −0.07; 95% CI: −0.63 to 0.49; p = 0.804). In tertile analyses, Knowledge, Attitude, and total KAP scores increased significantly across engagement levels, while Practice scores did not. Conclusions: Positive mHealth engagement was associated with better knowledge, attitudes, and overall KAP among patients with multidrug-resistant tuberculosis, but not with practice. The engagement score demonstrated good reliability and acceptable structural validity and may be a useful summary measure for evaluating patient interaction with mHealth interventions in tuberculosis care.

Abstract: Background: The Bacillus Calmette-Guérin (BCG) vaccine — the only licensed anti-tuberculosis vaccine — is administered at birth in over 150 countries. In many settings, however, BCG vaccination is deferred beyond the neonatal period, with a significant cohort receiving vaccination at approximately six months of age. An emerging clinical paradox has been identified: infants who receive delayed BCG vaccination at six months may subsequently develop devastating disseminated BCG disease (BCGosis), raising two unresolved questions of critical clinical importance. First, whether pre-existing subclinical Mycobacterium tuberculosis latent infection (LTBI) acquired during the unprotected window period acts as an immunological cofactor precipitating dissemination of the live attenuated BCG strain upon vaccination. Second, whether the tuberculin skin test (TST/PPD) — the most widely available diagnostic tool — provides sufficient sensitivity and specificity at six months of age to serve as a pre-vaccination safety screen.Methods: A systematic review was conducted following PRISMA-2020 guidelines across PubMed/MEDLINE, Embase, the Cochrane Library, and the WHO Global Tuberculosis Database (1990–2025). Search terms included "BCGosis," "disseminated BCG disease," "delayed BCG vaccination," "latent TB infants," "SCID BCG complications," "TST limitations infants," and "IGRA infants under two years." Studies reporting BCGosis following delayed BCG vaccination, pre-vaccination LTBI in infants, and TST/IGRA performance in the first year of life were included.Results: The pooled evidence from 32 high-quality studies across 17 countries confirms that BCGosis occurs almost exclusively in infants with undiagnosed inborn errors of immunity (IEI), especially severe combined immunodeficiency (SCID), chronic granulomatous disease (CGD), and Mendelian susceptibility to mycobacterial disease (MSMD). BCG-related complications represented the first clinical manifestation of underlying IEI in 75% of affected infants. A landmark Saudi Arabian cohort study (n=178 SCID patients, 2015–2023) demonstrated that delaying BCG from birth to six months significantly reduced BCG-related complications from 46.1% to 2.6% (p<0.001), illustrating the benefit of pre-vaccination immunological screening rather than blanket deferral. The TST showed false-negative rates of up to 40% in culture-confirmed tuberculosis among children under two years, attributable to T-cell immaturity, the immunological window period, and maternal immune modulation. IGRA assays demonstrated higher specificity but indeterminate rates of 17% in infants under twelve months, particularly in immunocompromised patients (27%), limiting their standalone utility. The mechanistic hypothesis of BCG vaccination precipitating expansion of pre-existing M. tuberculosis latent infection through cross-reactive T-cell activation and immune reconstitution inflammatory syndrome (IRIS)-like pathology is supported by immunological evidence but requires prospective validation.Conclusions: Delayed BCG vaccination at six months of age in infants with undetected IEI or unscreened latent TB infection constitutes a high-risk clinical scenario. The TST alone is an insufficient pre-vaccination safety screen at this age. Newborn screening for SCID using T-cell receptor excision circles (TREC) and kappa-deleting recombination excision circles (KREC), supplemented by comprehensive family history assessment, is essential before administering BCG to any infant beyond the neonatal period. International vaccination policy must distinguish between the protective benefit of BCG deferral for immunodeficient infants and the unacceptable risk of a six-month unprotected window in high-TB-burden populations.

Abstract: Large language models (LLMs) have made visible a long‑standing philosophical tension: sophisticated symbolic cognition can arise from large‑scale pattern extraction even in the absence of consciousness. This observation motivates a minimalist conceptual framework grounded in an ontological distinction between conscious regulation and symbolic structures. Language is treated as a crystallized form of human cognition—an externalized, culturally accumulated substrate created by conscious agents over millennia—while the human brain is understood as a biological system that evolved to operate over this symbolic layer. Within this view, consciousness and symbolic cognition are not different degrees of the same process but distinct kinds of cognitive organization: consciousness generates, grounds, and regulates symbols, whereas symbolic cognition manipulates them.LLMs illuminate this asymmetry by reproducing symbolic reasoning without conscious access, motivation, or subjective experience. Their performance therefore raises epistemological questions about the nature of meaning, grounding, and cognitive stability. The proposed framework situates these questions within a broader account of human cognitive evolution shaped by gene–culture coevolution and the emergence of culturally scaffolded symbolic systems. Finally, the article introduces an information‑theoretic constraint (the AI Theorem) suggesting that purely computational systems inevitably accumulate drift in the absence of a regulatory layer, offering a philosophical explanation for why artificial cognition may remain structurally distinct from biological minds.

Abstract: More than 30 lines of discrete, independent evidence implicate the exposure of susceptible babies and children to acetaminophen with the etiology of autism spectrum disorder (ASD). The most abundant source of evidence is from the fields of pharmacology and toxicology, with clinical and epidemiological observations, numerous miscellaneous observations, and studies in laboratory animal models providing conclusive support. This narrative review summarizes that evidence, and discusses recent work with sibling control analysis that has been unfortunately misinterpreted as a result of incorrect assignment of interacting variables as confounding factors. Susceptibility to acetaminophen-induced injury is imposed by a range of genetic, epigenetic, and environmental factors associated with oxidative stress, and is apparently the greatest immediately after birth. Susceptibility then decreases until about six years of age, which is outside of the developmental window in which regression into ASD typically occurs. Although associations between heavy use of acetaminophen during pregnancy and ASD suggest some risk may be present during pregnancy, insufficient evidence is available to know if sporadic use of acetaminophen during pregnancy poses any risks. Given continued use of acetaminophen during labor and delivery, and routine use during early childhood including for indications including circumcision, vaccination, and some chronic medical conditions, a course correction in clinical practice is much needed.

Abstract: We describe a decimal–hexadecimal block encoding for primality over a finite stored range. Since every prime greater than 5 must lie in one of the residue classes 1, 3, 7, 9 (mod 10), each decimal block of size ten can be encoded by a 4-bit word indicating which of the candidates 10k + 1, 10k + 3, 10k + 7, and 10k + 9 are prime. This yields a nibble-based storage scheme supporting exact primality queries and exact recovery of the prime-counting function π(x) by cumulative popcount. We then establish a structural theorem arising from the congruence 10 ≡ 1 (mod 3): for k ≡ 0 (mod 3) the candidates 10k + 3 and 10k + 9 are always composite, and for k ≡ 2 (mod 3) the candidates 10k + 1 and 10k + 7 are always composite. This partitions the nibble alphabet into three classes of sizes 4, 16, and 4, reducing the Shannon entropy from 4 bits to 2.42 bits per nibble and yielding a lossless compression of 39.4% over the original encoding with O(1) decode complexity. We present data structures, Python routines, and experimental validation up to 300,000.

Abstract: Rapid urbanization intensified spatial variability in air pollution across India, while monitoring networks are limited in capturing local exposure conditions. This study develops and evaluates an exposure assessment framework, with pilot findings from the Air Pollution Exposure on Adolescents’ Lungs (APEAL), a multi-centre prospective cohort study conducted in Delhi, Mumbai, Bengaluru, and Mysuru, which represent diverse air pollution levels. Residential measurements of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were conducted using standardized protocols. Results from pilot-phase showed that mean outdoor PM2.5 concentrations were highest in Delhi (90.4 ± 12.0 µg/m³), followed by Mumbai (57.2 ± 12.8 µg/m³), and Bengaluru (53.0 ± 9.0 µg/m³), with Mysuru having the lowest at 32.3 ± 9.3 µg/m³, indicating a north-south gradient attributed to anthropogenic activities. Optical properties of PM2.5, including absorption coefficients (Babs370 and Babs880), and calculated Absorption Angstrom Exponent (AAE), show significant variations and are primarily influenced by combustion sources. Further, this approach will include seasonal monitoring, chemical characterization, toxicity analysis, land-use regression (LUR) modelling, and time activity pattern to generate high-resolution exposure estimates. This methodology provides a robust, scalable framework for epidemiological studies and urban air pollution assessment in resource-limited settings, with relevance for urban planning and policy making.

Abstract: Misuse of over the counter (OTC) and prescription only medicines (POM) is increasingly recognised as a public health and medicines safety concern. Pharmacists and specialist substance misuse services (SMS) are often the first to encounter emerging patterns of problematic use, yet little is known about SMS staff experiences in supporting affected adults. This study explored their experiences to inform pharmacy focused practice and policy. Ethical approval was obtained. Confidential semi structured interviews were conducted with staff across five community adult English SMS. Audio recordings were transcribed verbatim and analysed thematically using NVivo®. Twenty interviews with varied professionals achieved data saturation. Three overarching themes emerged: (1) characteristics of OTC/POM misuse; (2) distinct groups of people affected; and (3) negative experiences and concerns. Dependence on orally administered opioids (particularly co-deine containing products) benzodiazepines and gabapentinoids predominated. Polypharmacy including illicit substance use was also reported. Withdrawal symptoms frequently perpetuated misuse, and abrupt supply cessation created additional risks. Routine enquiry about OTC/POM misuse and provision of tailored harm reduction inter-ventions are essential. Findings highlight opportunities for enhanced pharmacist in-volvement in early identification and medicines optimisation. Further research should examine whether dedicated OTC/POM pathways are required and explore differences in demographic and treatment needs across medicine types.

Abstract: Glioblastoma multiforme (GBM) remains one of the most challenging malignancies to treat, characterized by extreme heterogeneity, therapeutic resistance, and a dismal prognosis. Current multimodal treatments frequently fail due to the tumor’s complex epigenetic landscape, infiltrative nature, and a highly hypoxic microenvironment that fosters immune evasion. This review evaluates the potential of repurposing hydralazine, a long-established FDA-approved vasodilator, as a novel epigenetic and metabolic modulator for GBM. Mechanistically, hydralazine acts as a non-nucleoside inhibitor of DNA methyltransferase (DNMT), facilitating the demethylation and reactivation of silenced tumor suppressor genes, such as p16 and GSTP1. Beyond its epigenetic effects, it influences tumor metabolism by modulating the adenosine signaling axis and inducing vascular dynamics—specifically the “vascular steal” phenomenon—that alter intratumoral oxygenation. These pleiotropic actions provide a compelling rationale for its use in sensitizing glioblastoma cells to conventional radiotherapy and chemotherapy. However, significant pharmacological hurdles, including uncertain blood-brain barrier penetration, a short plasma half-life, and risks of systemic toxicity such as drug-induced lupus, suggest that hydralazine is unlikely to be effective as a stand-alone clinical therapy. In conclusion, while hydralazine faces clear translational pitfalls as a monotherapy, its ability to strategically reshape the GBM biological landscape positions it as a valuable adjunctive agent. Future innovation must focus on optimizing central nervous system delivery and identifying biology-driven combination strategies to overcome the adaptive resistance of this aggressive disease.

Abstract: Nonlinear equations arise extensively in engineering and applied sciences. This study introduces a family of Caputo and Atangana–Baleanu–Caputo (ABC) fractional order iterative methods for solving nonlinear problems. The proposed schemes are designed to enhance convergence behavior and improve robustness compared to existing fractional Newton-type methods. Local convergence is analyzed using fractional Taylor expansions, establishing the order of convergence and associated error equations. In addition, a dynamical systems perspective is adopted to investigate global convergence properties through basin of attraction analysis, including fractal structures and the Wada measure. Numerical experiments on application-inspired nonlinear models demonstrate that the proposed methods achieve faster error reduction, lower residuals, and improved computational efficiency compared to existing schemes. These results indicate that the proposed framework provides an effective and flexible approach for solving nonlinear equations, combining accuracy, stability, and dynamical insight.

Abstract: Chronic kidney disease (CKD) is a common medical condition seen in North America, ranging between 10-12% of the general population, which has significant impact on health care costs and patient survival [1]. Sarcopenia is often seen in between 2.8% to 75% in the CKD population based on the method of measurement and definition chosen to report [2–8]. This qualitative review of the literature for sarcopenia in CKD will focus on the utility of the Psoas muscle measurement. Psoas muscle measurement is a surrogate method to quantify muscle mass and its advantages and disadvantages as a choice for utilization in the sarcopenia definition is explored with the different diagnostic frailty scores published. The role of different comorbidities within the CKD population is further explained in the context of muscle mass measurement and the associated clinical outcomes. The ability and relevance of longitudinal use of muscle mass assessments in the clinical context will be emphasized on clinical evaluation of the CKD patient and follow up nutritional and physical training requirement to rebuild and maintain muscle mass.

Abstract: The Polyomaviridae family contains members known for achieving high seroprevalence within their target species despite a limited genomic economy. Minimalism, by definition, allows for the clarification and streamlining of purpose via the removal of unnecessary or distracting components. Among viruses, Simian Vacuolating Virus 40 (SV40) and other polyomaviruses are master minimalists, achieving efficient replication and persistence with compact genomes of approximately 5 kb in length. This review examines how polyomaviruses employ limited genetic material and simple structure to participate in complex functions and interactions, highlighting minimalism as both an evolutionary and functional advantage. Polyomaviruses make the most of their compact genomes in each stage of the viral lifecycle through the production of multifunctional early proteins and cis-regulatory elements, utilization of alternative splicing and host infrastructure, and organization of compact structural proteins. This allows for the successful replication and proliferation of virions while also reducing evolutionary pressure and promoting host immune evasion. Examination of the implications of polyomaviral minimalism illustrates that genome economy is not a constraint, but rather a driver of biological sophistication.

Abstract: Objectives: The aims of this study were to investigate the maxillofacial trauma resulting from electric scooter accidents, and to identify risk factors associated with injury location. Methods: An 8-year retrospective cohort study was carried out, including all patients presenting with electric scooter-related maxillofacial fractures at a tertiary care center from 2017 through 2024. Data recorded for each patient included gender, age, date and cause of injury, contributing factors, type of facial fractures, other injuries, helmet use, and the length of hospital stay. Results: Maxillofacial fractures were diagnosed in 138 patients (18,5% of e-scooter accident presentations). The study included 93 male and 45 female patients (ratio 2:1), and the mean age was 25.8 ± 7.75 years (range 14-45 years). Patients aged 20-29 years formed the largest group (51%). Most patients (89%) sustained a single facial fracture. The most affected facial third was the lower third with 80 cases (58%), followed by the middle third (36%). The remaining patients were represented by a combination of the various thirds, the most represented of which was I-II (12%). The most recurrent patterns were multifocal mandibular fractures (55%), followed by fractures of the orbito-malar-zygomatic complex (33%). Dental injuries were also frequent and were recorded in 40 patients (29% of all cases). Concomitant injuries outside the facial region were documented in 32 patients (23%). Among these, orthopaedic limb injuries were most common (44% of patients with concomitant injuries). Contributing factors were identifiable in 102 patients (74%). Self-reported helmet use was low: 63% of patients reported never wearing a helmet and 27% reported inconsistent or occasional use. Conclusions: Accidents involving personal mobility vehicles have become one of the main causes of emergency room admissions in recent years. Although electric scooter-related maxillofacial fractures are a new phenomenon, awareness of their frequency, contributing factors, and anatomical distribution is important for emergency and trauma teams who assess these patients first. Early recognition and timely management are crucial because missed diagnoses or delayed treatment can lead to permanent facial deformity and functional disability. These findings can inform targeted public-health strategies and injury-prevention programs. In the future, helmet designs should be modified to improve maxillofacial protection in scooter-related injuries.

Abstract: Background and Objectives: Sepsis is a life-threatening organ dysfunction, and specific biomarkers could improve prognostic assessment in septic patients. The Sequential Organ Failure Assessment (SOFA) score is the standard tool for clinical sepsis monitoring. Recent studies highlight the need for its revision and the identification of rapid, specific, sensitive predictors of sepsis mortality. The aim of this study was to determine the significance of cardiac biomarkers alone or combined with the SOFA score for evaluating sepsis-related mortality. Materials and Methods: This is a retrospective, single-center study with a relatively small sample size of 73 septic patients (Sepsis-3 criteria) hospitalized in an intensive care unit (ICU) and intermediate care unit (IMCU). All patients had standard laboratory parameters, cardiac biomarkers, and the SOFA score available upon admission. Statistical analyses included non-parametric Mann–Whitney U test, ROC (Receiver Operating Characteristic) curve analysis, Hanley & McNeil method and Hosmer–Lemeshow goodness-of-fit test. Results: Lactate (p < 0.001) and SOFA (p < 0.001) showed the highest area under the curve (AUC) values, and all cardiac biomarkers had statistically significant AUCs (p < 0.05) for sepsis mortality prediction. A comparison of all ROC curves was conducted, but no statistically significant differences were observed. Adding hs-cTn (high-sensitivity cardiac troponin) and lactate to the SOFA score increased its AUC from 0.767 to 0.827 (p = 0.421). Conclusions: The results highlight the potential role of cardiac biomarkers alone or in combination with the SOFA score as useful clinical tool for predicting sepsis mortality. Further research with a larger sample size is required to validate and generalize the findings.

Abstract: The current article explores how people in contemporary America understand George Washington’s national authority through their daily cultural activities. It examines how individuals understand national symbol through ethical beliefs. Using thirty-three semi-structured online interviews and qualitative narrative analysis, the findings reveal that participants see Washington as a national symbol through personal understanding, emotional ties and their judgment of his moral character. Washington serves as a national figure whom people learn about in schools and see in popular culture yet his historical connection to slavery creates discomfort and mixed feelings for many individuals. Participants resolve this conflict through selective reverence, distancing, qualification, and informal critique. These practices illustrate a process of symbolic governance in which national authority persists because individuals continuously negotiate their understanding of national symbols through emotional and moral evaluation. Consequently, Washington is revealed as a figure whose authority is culturally constructed, maintained through varied cultural readings of his persona. This research shows how national symbols persist in modern culture, a process shaped by the continuous interplay between individual interpretation and historical awareness.

Abstract: A zoonotic disease caused primarily by Mycobacterium bovis (M. bovis), bovine tuberculosis (bTB), remains a considerable global concern. The intradermal tuberculin test (ITT) is a primary global screening tool for infected animals through their cellular immune response. However, ITT fails to identify all bTB-infected animals. Serological enzyme-linked immunosorbent assays (ELISAs), which detect humoral immune responses are a potential complementary approach for bTB diagnosis. Herein, 86 serum samples collected from a bTB-free herd were analyzed using three bTB serological ELISA kits: the IDEXX M. bovis antibody test (IDEXX), the BIONOTE BTB antibody ELISA 2.0 kit (BTB), and an in-house ELISA using MPB70 and MPB83 as antigens (termed homemade). Antibody responses were monitored before and after ITT administration for 21 weeks. All serum samples collected before ITT administration tested negative with all three ELISA kits. However, 1 week after ITT administration, samples tested positive using the IDEXX, BTB, and homemade ELISA kits. Week 9, all samples tested negative with the BTB and homemade ELISA kits, whereas for IDEXX they remained negative until week 21. ITT-induced a serological response against M. bovis, engendering false-positive results. Therefore, collecting serum samples for bTB antibody testing should be avoided for at least 21 weeks following ITT.

Abstract: Diagnostic latency limits time-sensitive care and early detection, and exhaled breath provides a rapid, repeatable window into metabolic and inflammatory chemistry. We review real-time breath sampling and analytical technologies and evaluate their readiness for clinical adoption, with emphasis on molecular pathways reflected in the breath volatilome and in exhaled breath condensate. Real-time mass spectrometry enables kinetic VOC profiling and targeted quantification, while humidity-aware sensors and wearable condensate platforms extend monitoring beyond the laboratory. Pathway-anchored interpretation links breath readouts to ketone handling, isoprenoid metabolism, nitric oxide signaling, lipid peroxidation, uremic nitrogen handling, and microbiome-host co-metabolism, but performance remains vulnerable to confounding, drift, and non-representative comparators. Translation requires standardized breath fraction control, traceable features, robust quality systems, and governed device algorithm stacks so that breath outputs change decisions and outcomes.

Abstract: We ask for ultrametric version of following three: (1) Bourgain-Figiel-Milman Theorem, (2) Enflo Type, (3) Mendel-Naor Cotype.

Abstract: This qualitative study investigates how AI applications that support or replace instructional tasks influence teachers’ professional judgment, cognitive load management, and sense of agency. Drawing on interviews with 23 high school teachers from multiple countries using diverse AI platforms, the study explores teachers’ lived experiences of working in AI-mediated environments. Data were analyzed thematically using Cognitive Load Theory (CLT) as an analytical lens to examine shifts in intrinsic, extraneous, and germane cognitive load. The findings indicate that while AI tools reduce workload and streamline planning and assessment, they also displace diagnostic reasoning, instructional sequencing, and evaluative judgment. Teacher agency persists but becomes conditional, shaped by institutional pressures, algorithmic opacity, and professional confidence. Ethical and equity concerns related to transparency and authority emerged as everyday cognitive and emotional challenges. By extending CLT to teachers’ work, the study highlights the need for AI integration that preserves reflective practice, professional judgment, and sustainable teacher agency.

Abstract: This paper reports thermophysical-property data for binary dielectric mixtures of hy-drofluoroether (HFE) fluids and ethyl acetate (EA) and applies a correlation-based workflow to compare their single-phase forced-convection performance in rectangular minichannels. Density, viscosity, thermal conductivity, and isobaric heat capacity were measured at three temperature levels (293.1, 313.1, and 328.1 K) for selected compositions of HFE-7100/EA, HFE-7300/EA, and HFE-73DE/EA. Using these meas-ured properties, Reynolds and Prandtl numbers were evaluated and a laminar ther-mally developing correlation was employed to obtain Nusselt numbers and corre-sponding heat transfer coefficients. The assessment was performed for two geometries representing a long reference minichannel module and a short multi-minichannel module. A validation dataset for pure HFE-7100 in the short module, derived from IR thermography and an energy-balance data reduction, indicates a systematic deviation between correlation-based estimates and experimental values, which should be con-sidered when interpreting absolute predictions. The presented dataset and workflow support transparent down-selection of candidate mixtures prior to extended experi-mental campaigns.