Abstract: Background: Women constitute a growing yet underrecognized segment of the informal automobile repair sector in sub-Saharan Africa (SSA), entering male-dominated technical trades amid economic necessity and limited formal employment opportunities. These female artisans face compounded occupational health risks from chemical exposures, physical hazards, and gender-based discrimination, yet remain largely invisible in occupational health research and policy frameworks. This synthesis examines the epidemiology, hazard profile, reproductive health implications, and structural determinants of health among female automobile artisans in SSA. Methods: We conducted a narrative synthesis of peer-reviewed literature retrieved from Scopus, PubMed and Google Scholar databases. Search terms combined concepts of informal sector employment, automobile repair trades, occupational health hazards, gender, reproductive health, and SSA contexts. Inclusion criteria prioritized empirical studies, systematic reviews, and policy analyses addressing female participation in automobile trades, occupational exposures in informal automotive workshops, and gender dimensions of informal sector work. Quality appraisal emphasized methodological rigor, sample representativeness, and relevance to the synthesis objectives. Thematic synthesis organized findings across nine domains: epidemiology, hazard characterization, personal protective equipment access, reproductive health, psychosocial stressors, economic precarity, empowerment pathways, regulatory frameworks, and Sustainable Development Goal (SDG) alignment. Results: Female participation in automobile trades remains marginal across SSA, with women concentrated in lower-skill, lower-income activities and systematically excluded from technical apprenticeships and trade leadership. Occupational hazard profiles include lead exposure exceeding biological exposure indices, organic solvents with documented reproductive toxicity, polycyclic aromatic hydrocarbons, particulate matter, ergonomic stressors, thermal extremes, and traumatic injuries. Personal protective equipment remains scarce, gender-inappropriate in sizing and design, and underutilized due to cost barriers and workplace norms. Reproductive health implications are severe: lead crosses the placenta, solvents disrupt endocrine function, and absence of maternity protection forces women to work through pregnancy without accommodation. Psychosocial stressors include pervasive sexual harassment, workplace hostility, gender-based stigma, and the double burden of domestic and professional labor. Economic precarity traps women in poverty, with lower earnings than male counterparts, limited credit access, and intersecting vulnerabilities related to education, marital status, and geographic location. Regulatory frameworks systematically exclude informal workers from occupational health and safety legislation, labor protections, and social security. Despite explicit commitments under SDGs 3, 5, 8, and 10, evidence-policy gaps remain vast. Conclusions: Female automobile artisans in SSA face a syndemic of occupational health hazards, reproductive risks, gender-based violence, and structural exclusion. Addressing this crisis requires gender-responsive occupational health interventions, enforcement of labor protections in the informal economy, maternity safeguards, skills training pathways, and deliberate efforts to dismantle gender-based barriers in technical trades. Research priorities include prospective cohort studies of reproductive outcomes, biomonitoring of chemical exposures, intervention trials of gender-appropriate personal protective equipment, and participatory action research centering women's voices and agency.

Abstract: Background: Pancreaticoduodenectomy (PD) is one of the most complex surgical procedures and remains associated with substantial postoperative morbidity. Identification of factors associated with severe postoperative complications may improve perioperative management and patient outcomes. Methods: Patients aged 18 years or older who underwent elective pancreaticoduodenectomy for periampullary tumors between January 2021 and January 2026 were retrospectively reviewed. Demographic characteristics, preoperative laboratory findings, percutaneous transhepatic cholangiography(PTC) and endoscopic retrograde cholangiopancreatography(ERCP) history, operative details, length of hospital stay, and postoperative complications were analyzed. Factors associated with severe complications (Clavien-Dindo Grade III or higher) were evaluated using univariate and multivariate analyses. Results: A total of 84 patients were included. The rates of pancreatic fistula were 22.6%, 6.0%, and 3.6% for Grade A, B, and C, respectively, yielding an overall fistula rate of 32.2%. Severe complications occurred in 30.9% of patients. Univariate analysis demonstrated significant associations between severe complications and preoperative albumin level, malignant-benign pathology distinction and pancreatic fistula. Multivariate analysis identified low preoperative albumin level (p=0.013), malignant pathology (p=0.013) as independent factors associated with severe postoperative complications. Conclusions: Severe postoperative complications remain common following PD. Low preoperative albumin levels, malignant pathology were independently associated with severe complications. Particular attention should be given to patients with hypoalbuminemia and malign pathology undergoing elective PD.

Abstract: As humans and AI agents work together across long-horizon tasks and accumulate interaction history, how cognitive work is organized on one task can shape both their later performance and later capability. Within a Human–AI system, the next step may involve further reasoning, retrieval from prior experience, verification, a tool call, another model, human judgment, or stopping. The cognitive operation used also shapes who gets what experience: whether the human continues to practice a skill, whether the AI receives demonstrations or corrections, which failures are exposed for supervision, and which trajectories become reusable. The way cognitive work is organized today therefore helps construct the Human–AI system that will act tomorrow. This survey connects human cognition, Human–Automation and HCI, and modern AI agents to explain how present cognitive organization shapes future Human–AI capability. Human cognition research explains how limited attention, computation, and control are organized, and how experience can restructure later cognition. HumanAutomation and HCI research shows how functions, authority, and initiative are divided across people and machines, and how that division changes human readiness and skill. In modern AI agents, many of these cognitive operations are explicit and programmable, while interaction trajectories can be retained and transformed into memories, workflows, skills, and policies that shape later behavior. Read together, these literatures expose a causal sequence: organizing cognitive work determines the distribution of practice, supervision, feedback, and trajectories; that experience changes human skill and beliefs, machine memory and policy, and the coordination between them; and the updated joint system then organizes later work differently. We argue that Human–AI collaboration should therefore be studied as a process of joint cognitive development. The design problem is to organize current cognition while accounting for the Human–AI system that the current choices are shaping. The way humans and AI work together today changes what each can do tomorrow.

Abstract: Coronary artery bypass grafting (CABG) utilizing cardiopulmonary bypass (CPB) remains a cornerstone of treatment for advanced multivessel coronary artery disease. However, exposure of blood components toDuring the ischemic period, myocardial cells become injured and increasingly depend on anaerobic metabolism. After reperfus artificial surfaces, combined with ischemia-reperfusion injury, surgical trauma, and gut translocation of endotoxins, triggers a complex systemic inflammatory response syndrome (SIRS). This inflammatory cascade involves a tightly regulated network of humoral cascades (complement, contact, coagulation, and fibrinolytic systems) and cellular effectors (neutrophils, monocytes, endothelial cells, and platelets). Molecular signaling pathways, notably Toll-like receptor 4 (TLR4) activation, nuclear factor kappa B (NF-κB) nuclear translocation, mitogen-activated protein kinase (MAPK) phosphorylation, and NLRP3 inflammasome assembly, drive a cytokine storm characterized by massive releases of interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), and interleukin-8 (IL-8). These molecular events lead to endothelial barrier disruption, vasoplegic shock, acute lung injury, myocardial dysfunction, and acute kidney injury. This comprehensive narrative review provides a detailed synthesis of the cellular and molecular mechanisms underlying CPB-induced SIRS, highlights recent advances in neutrophil extracellular trap (NET) dynamics and microvascular injury, and evaluates contemporary pharmacological and bioengineering therapeutic strategies designed to mitigate postoperative organ dysfunction.

Abstract: Background: Ribonucleic acid (RNA)-loaded lipid nanoparticles (LNPs) are established platforms for the delivery of messenger RNA (mRNA), small interfering RNA (siRNA), and other functional RNA molecules. Their biological performance is determined by interconnected factors extending from manufacturing and particle assembly to physicochemical characteristics, interactions with biological fluids, cellular trafficking, and in-vivo function. This systematic review aimed to integrate the available evidence on manufacturing parameters, physicochemical characteristics, protein-corona interactions, and biological performance of RNA-loaded LNPs. Methods: This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines. PubMed, Scopus, and Web of Science were searched from inception to 12 July 2026 without language or publication-date restrictions. The first 50 pages of Google Scholar and the reference lists of relevant articles were additionally screened. Eligible experimental studies investigated RNA-loaded LNPs and contributed evidence to at least one prespecified domain: manufacturing/process-related physicochemical characteristics, primary in-vitro biological delivery, downstream or in-vivo functional outcomes, or protein-corona and serum/protein interactions. Methodological quality was assessed using the quantitative Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields (QualSyst). Owing to substantial methodological and experimental heterogeneity, the evidence was synthesized systematically without meta-analysis. Results: A total of 45 unique parent studies were included. Thirty studies evaluated manufacturing/process-related physicochemical outcomes, 26 investigated primary in-vitro biological delivery, 37 assessed downstream or in-vivo functional outcomes, and 17 examined protein-corona or serum/protein interactions, with substantial overlap among evidence domains. Manufacturing variables, including mixer architecture, total flow rate, flow-rate ratio, scale-up conditions, dilution, and post-processing, were associated with changes in particle size, polydispersity, encapsulation efficiency, surface characteristics, and particle structure; however, the direction and magnitude of these effects varied among formulations and platforms. Similar conventional physicochemical characteristics did not consistently correspond to equivalent biological performance, and greater cellular association or uptake was not invariably accompanied by greater productive RNA expression or functional activity. Protein-corona studies demonstrated formulation- and biofluid-dependent interactions that were associated with changes in cellular uptake, intracellular trafficking, biodistribution, and functional RNA delivery. Apolipoprotein E was a frequently investigated mediator, particularly in hepatic delivery, although multiple other protein classes were also implicated. Conclusions: The available evidence indicates that RNA-LNP performance should be considered as the product of an interconnected relationship among manufacturing conditions, physicochemical and structural characteristics, biological-fluid interactions, and subsequent cellular and in-vivo function. Manufacturing effects are highly dependent on formulation and platform context, while conventional physicochemical attributes alone are insufficient to predict biological performance. Protein-corona formation represents an additional context-dependent component of LNP biological identity. Greater methodological standardization and integrated process–physicochemical–biological studies are required to enable more reliable cross-study comparisons and future quantitative synthesis.

Abstract: This study examines how mining-related environmental pressure is associated with the breadth and composition of climate-smart agriculture (CSA) portfolios among 485 farming households in Tarkwa Nsuaem and Prestea Huni Valley, Ghana. We develop an adaptation-paradox framework in which environmental stress may strengthen incentives to adopt risk-mitigating practices while severe degradation may simultaneously reduce expected returns and implementation capacity. Because CSA adoption is almost universal in the sample, the analysis focuses on portfolio breadth, complete seven-practice adoption, and practice composition rather than a nearly degenerate adopter/non-adopter outcome. The empirical strategy combines fractional-response estimation, stacked practice-level logit models, nonlinear specifications, alternative exposure measures, small-cluster robustness checks, Double Machine Learning, and repeated nested cross-validation. In the fully adjusted fractional-logit model with community fixed effects, the average marginal association between the core Mining Externality Severity Index (MESI) and CSA portfolio share is close to zero and imprecisely estimated (AME = -0.003; 95% CI: -0.175 to 0.169). However, MESI relationships differ jointly across the seven practices, nonlinear specifications suggest possible non-monotonicity, and results vary with the definition of mining pressure. Gradient Boosting predicts complete portfolios with a mean ROC-AUC of 0.907, while community context contains substantially more predictive information than MESI alone. Overall, the evidence supports a portfolio-based, practice-specific, and place-sensitive interpretation of adaptation rather than a universal positive or negative relationship between mining pressure and CSA adoption.

Abstract: As the electric two-wheeler (E2W) sector rapidly proliferates in India, achieving genuine sustainability is strongly dependent upon upstream supply chain dynamics. Drawing on sustainable supply chain and partnership theories, this research investigates how strategic vendor partnerships (SVP) drive economic, environmental, and social sustainability within this emerging market. We deconstruct the SVP framework into three fundamental practices: outsourcing, vendor-managed inventory (VMI), and vendor selection tied to long-term alliances (VSLTA). For an evaluation of how these practices impact critical sustainability metrics like emission control, waste reduction, resource optimization, cost efficiency, and delivery reliability, we surveyed procurement and supply chain experts from major Indian E2W manufacturers and their tier-1 suppliers. The gathered data was empirically evaluated utilizing exploratory factor analysis and multiple regression. The analysis reveals that sustainable performance is significantly and positively enhanced by all three facets of SVP. Notably, establishing enduring relationships through VSLTA, proved to be the most impactful catalyst for sustainability, followed closely by VMI integration and outsourcing strategies. Finally, this research advances the academic discourse on sustainable e-mobility operations in developing economies and equips industry managers with evidence-based strategies to build supply chains that are both highly competitive and ecologically responsible.

Abstract: Clams represent an important part of the marine benthic community and as food sources for invertebrates (worms, amphipods), fish, and marine mammals. The purpose of this study was to examine the contamination and health status of feral Mya arenaria clam populations at sites of anthropogenic pollution (harbors), high residency Beluga whale area and a reference under no direct contact of pollution. Intertidal clams were collected for nanoplastics (NPs), dibutylphthalate (DBP), metal contamination and health status assessment. Health status consisted in the evaluation of oxidative stress, protein aggregation, esterase, carbonic anhydrase at the molecular level followed by morphological assessments (shell mass, condition factor, growth index) and resistance to air emersion. The data revealed that clams collected from polluted sites (marina and downstream urban cities) had elevated levels of NPs, DBP, Cd, Ce, Fe, Cu, Sn and Zn compared to a reference site. Surprisingly, the Beluga high residency area site was also contaminated by these contaminants (with the exception of Cd) especially for Sn, NPs and DBP. These clams contained elevated levels of peroxidase activity, protein aggregation, esterase, (mantle) carbonic anhydrase and accumulated lipids. The clams displayed at least at one polluted or whale residency site, decreased CF, shell mass ratio, air survival time and increased growth index. Cluster analysis revealed that the above contaminants were strongly associated with carbonic anhydrase, esterase, peroxidase and protein aggregation changes but less so towards morphological changes. In conclusion, feral clam populations are contaminated by plastics compounds including and shows signs of physiological stress as shown with reduced shell mass.

Abstract: Web tracking and browser fingerprinting are typically invisible to users and are difficult to characterize reliably from a single website observation. This study evaluates privacy- and security-relevant indicators across a curated frame of 947 Ecuador-associated domains and introduces a completion-aware automation and data-engineering pipeline that uses Blacklight as an external measurement instrument. The developed application normalizes and deduplicates domains, controls a headless Chromium browser through Playwright, initiates scans through the Blacklight web interface, waits until the platform signals scan completion or a maximum timeout is reached, and, only after completion, captures and preserves the original JSON download. For each artifact, the application records acquisition metadata and errors, computes a SHA-256 integrity hash, extracts instrument-reported variables, validates summary-versus-detail consistency, and joins a manually established sector/subsector taxonomy while preserving raw, derived, and classification layers separately. Three measurements were conducted on 25 June 2026, 25 July 2026, and 25 August 2026. Successful JSON export rates were 58.0%, 55.8%, and 59.0%; the strict quality-controlled longitudinal panel contained 381 domains across 19 sectors. Within that panel, tracker prevalence was 15.0%-15.5%, fingerprinting 37.5%-38.1%, cookies 34.1%-34.4%, third-party domains 74.3%-74.8%, Content Security Policy (CSP) presence 22.3%-22.6%, and instrument-defined critical-category fingerprinting 7.3%-8.1%. None of the six binary conditions changed significantly after Holm correction (all adjusted p >= 0.812), with three-round exact agreement of 96.6%-99.5% and Fleiss’ kappa of 0.927-0.986. Count reliability was also high (ICC(A,1) = 0.897-0.993). Persistent domain-item pairs accounted for 89.2% of tracker-domain, 89.1% of tracker-company, 91.3% of fingerprinting-technique, and 95.5% of third-party-domain detections. Under Ecuador’s Organic Law on Personal Data Protection (LOPDP), these results are interpreted as persistent compliance-verification signals rather than proof of unlawful processing. The combined framework strengthens reproducibility, audit prioritization, and evidentiary traceability while preserving the distinction between technical detection and legal conclusion.

Abstract: Empirical evidence integrating multiple biological levels on freshwater biodiversity persistence in regulated river basins remains scarce for Neotropical systems. We evaluated fish assemblage structure, reproductive strategies, and life-cycle support for migratory species across lotic and lentic habitats in three tributaries of the Porto Primavera Reservoir, Upper Paraná basin, Brazil, over an 11-year monitoring period (2007–2018), encompassing 104 species and a Life-cycle Support Index (LSI) based on occurrence of eggs, larvae, juveniles, and adults. Marginal lagoons functioned as biodiversity hotspots, with higher richness and diversity than river channels; reproductive guilds were habitat-partitioned, with opportunistic and parental-care strategists in lentic environments and periodic/migratory strategists in lotic habitats. Tributary identity was the strongest predictor of assemblage composition: the Aguapeí River, partially protected, showed the highest LSI values, whereas the Verde River provided the strongest evidence of reproduction for conservation-priority taxa, including the critically endangered Brycon orbignyanus, whose adults occurred exclusively there, and the vulnerable Pseudoplatystoma corruscans, for which adults, eggs, and larvae co-occurred. Three proposed hydropower developments on the Verde River would fragment a 200-km free-flowing stretch, threatening these conditions. Undammed tributaries are irreplaceable for freshwater biodiversity and should be recognized as conservation priorities in hydro-power licensing and basin governance.

Abstract: The spatial differentiation of depositional systems in complex continental rift basins is governed by the coupled effects of tectonic framework, sediment supply, and sediment-routing processes. However, the mechanisms controlling their interactions remain poorly understood. This study focuses on the third member of the Shahejie Formation (Es3) in the southern Laizhou Bay Sag, Bohai Bay Basin, eastern China. Integrated analyses of well data, well logs, and three-dimensional seismic data were combined with paleogeographic reconstruction and source-to-sink analysis to investigate depositional evolution and controlling mechanisms in a rift basin. The results indicate that: (1) The Es3 Member can be divided into four evolutionary stages, including SQ1, SQ2 (LST+TST), SQ2 (HST), and SQ3. The depositional system evolved from basin-margin filling to lacustrine transgression and subsequently to late-stage progradation. (2) Multi-directional sediment supply and sediment-routing pathways jointly regulated depositional distribution. Different basin-margin source systems resulted in contrasting depositional architectures, characterized by proximal fan deltas along steep slopes and distal braided-river deltas along gentle slopes. (3) Source-to-sink coupling controlled sediment input, transport, and spatial redistribution, whereas salt-related paleogeographic modification further influenced local accommodation space and depositional responses. Based on these findings, a multi-factor coupled depositional model involving tectonic framework, sediment supply, sediment-routing processes, and paleogeographic modification is proposed. This model provides new insights into the formation mechanisms of depositional heterogeneity in complex continental rift basins.

Abstract: Background: Nutritional deficiencies are common during the first postoperative year after mini gastric bypass (OAGB/MGB). This retrospective study evaluated the adequacy of a Food for Special Medical Purposes formulated for bariatric patients in maintaining mineral and vitamin status after OAGB/MGB. Methods: Patients who underwent laparoscopic OAGB/MGB at the Nutrition Clinic of Koelliker Hospital (Turin, Italy) between January 2023 and March 2024, aged 18–65 years and taking the product at 2 sachets/day for 12 consecutive months within a structured postoperative nutritional program, were retrospectively analyzed. Anthropometric and biochemical parameters were assessed at baseline (T0), 6 months (T6), and 12 months (T12) and compared using nonparametric repeated-measures tests. Results: Twenty-five patients were included (9 males, 36%; 16 females, 64%; mean age 52.8±7.2 years; preoperative BMI 46.4±5.8 kg/m²). At 12 months, mean weight loss was 34% and excess weight loss 74%. Vitamin D deficiency (<30 ng/mL) declined significantly from 79% at baseline to 28% at T6 and 16% at T12 (p<0.001). Vitamin B12 increased significantly within the first 6 months and then stabilized (p=0.0056), with only one residual deficiency at T6. Folate levels did not change significantly (p=0.099), though deficient/borderline values fell from 40% to 4%. Hemoglobin and mean corpuscular volume remained stable. Serum iron improved significantly only at 12 months (p<0.001), while ferritin declined significantly, mainly between T0 and T6 (p=0.046), remaining above the deficiency threshold on average. Conclusions: In this real-world series, the tested product combined with structured nutritional follow-up was associated with maintenance or improvement of most micronutrient parameters during the first year after OAGB/MGB, although ferritin remained a critical parameter requiring continued surveillance.

Abstract: From smartphones to artificial intelligence chips, nearly all modern electronics depend on lithography to drive device miniaturization. Realizing nanoscale linewidths and fabricating intricate patterns remain central challenges for lithographic technologies. This work presents a novel multi-beam holography method capable of generating complex patterns for lithography. We demonstrate and systematically analyze the mechanism for the generation of sharp, complex bright fringes within an optical cavity equipped with phase-modulating elements. Through analysis of the types of split-amplitude interference and the position of the localized plane, two practical implementation schemes are established. For each scheme, we examine the key factors governing linewidth performance as well as its fundamental theoretical limits. Numerical simulations confirm the feasibility of our approach, yielding full-width at half-maximum (FWHM) values below 1/10 of the wavelength. Theoretical projections further suggest that linewidths narrower than 1/20 of the wavelength are attainable. Requiring only a highly compact optical arrangement, the proposed technique delivers both narrow-linewidth features and sophisticated patterns, highlighting its promise as an alternative lithographic platform.

Abstract: Myelination in the developing brain emerges from a dynamic interplay among oligodendrocytes, astrocytes, neurons, vascular components, and immune cells. Although astrocyte–oligodendrocyte interactions are increasingly recognized as critical for myelin formation, maintenance, and metabolic homeostasis, their developmental organization remains incompletely understood, particularly in extremely preterm infants, in whom mature astrocytic functions are not yet fully established. This narrative review examines how oligodendrocyte maturation and white-matter metabolism may be supported across development and how perinatal insults can perturb this evolving cellular cooperation. Evidence from experimental, neuropathological, metabolic, and neuroimaging studies indicates that oligodendrocytes are not passive recipients of astrocytic support but active metabolic, signaling, and immunological partners whose functions evolve alongside astroglial maturation. In the immature white matter, this relationship is further shaped by neuronal activity, vascular substrate delivery, inflammatory signaling, and the intrinsic vulnerability of pre-oligodendrocytes. Hypoxia–ischemia, oxidative stress, iron dyshomeostasis, ferroptosis, and glycemic instability may therefore interfere with multiple components of this developing network. Human and experimental evidence from perinatal white-matter injury is particularly informative, showing the coexistence of reactive astrogliosis, pre-oligodendrocyte injury and maturation arrest, and subsequent impairment of myelination. Quantitative neuroimaging, radiomics, proteomics, and lipidomics provide complementary observational scales through which these processes may be investigated, although imaging markers of myelin remain biologically non-specific. Taken together, the available evidence does not support a single cellular substitute for mature astrocytic function. Rather, oligodendrocyte maturation appears to depend on a developmentally changing division of metabolic, homeostatic, and signaling labour across multiple cellular compartments. We propose that glial coupling itself should therefore be considered a developmentally constructed process whose disruption may contribute to white-matter vulnerability in the preterm brain.

Abstract: How well can you predict production performance from development process data alone? Modern DevOps pipelines record 164 metrics across eight SDLC phases, yet no public dataset links these signals to runtime outcomes. We built PRESTO and a Gaussian copula-based synthetic data generator, released as a public reproducibility package (Zenodo DOI: 10.5281/zenodo.22005439). During this revision, an audit of the generator’s own code, prompted by peer review, found three implementation bugs (48 of 84 specified metric correlations were silently never applied; domain-specific calibration overrides were never wired in; one metric’s documented distribution family was silently substituted for a different one). We fixed all three, regenerated all three synthetic domains, and reran the full downstream pipeline; every synthetic-domain number below reflects the corrected code, and Section 3.1.3 discloses exactly what changed. Across three enterprise-domain synthetic datasets, the best model achieved R² = 0.11 to 0.49 using only SDLC process features; a target-correlation ablation shows this largely reflects recovery of the generator’s specified structure, so the synthetic domains alone are not evidence of genuine signal. Adding historical uptime features raised the primary domain’s R² to 0.91, and roughly 88% of that gain is autoregressive persistence rather than process signal. Tree-based ensembles remained the best untuned model on all three domains, though Gradient Boosting now collapses badly on the primary domain (R² = −1.49) while Random Forest does not; once linear models are properly tuned, a tuned model edges out Random Forest on that same domain, but by a margin smaller than the estimation noise, so this is a near-tie, not a linear-model win. Build and testing infrastructure availability were the strongest synthetic-domain predictors; build-phase metrics now outweigh code-quality metrics roughly 6.6:1 in aggregate importance, and testing metrics roughly 4.3:1, both smaller ratios than an earlier, bug-affected 11:1 figure; real-world TravisTorrent data is directionally consistent (Test-phase features rank #1 in 5 of 7 projects), but a robustness check excluding a definitionally-circular test-duration feature drops every project’s holdout R² to negative, so this should be read as a weak, feature-ranking-only signal, not confirmation. We introduce Phase-Aware Recursive Feature Elimination, which guarantees cross-phase coverage and, under the corrected data, avoids collapse on two of three domains, though it fails badly on the primary domain. Four independent real-world datasets, unaffected by the generator fixes since they use real external data, still with bootstrap confidence intervals: TravisTorrent (R² = 0.475 best of seven, median 0.005), Mozilla Perfherder (R² = 0.17 to 0.91, autoregressive persistence), GHALogs (R² ≈ 0.11, zero leakage risk, significant for all five models, n = 28,443), and SQuaD(R² = 0.402 defect-fix, our strongest point estimate but not significant; enriching with real static-analysis code-quality features raises it to 0.483 and narrows the CI to a near-miss [−0.037,0.738], still not significant; R² = 0.245 CVE-count, weaker but significant). GHALogs and SQuaD’s CVE-count result are what actually license a confirmatory claim: SDLC process signals carry genuine, transferable predictive value, though not uniformly across every real-world dataset examined.

Abstract: Rationale. Bioinformatics workflows increasingly need to integrate heterogeneous biomedical data, including experimental assay outputs, patient-derived model metadata, mechanistic models and molecular-pathology information. In glioblastoma (GBM), such integration can help connect treatment responses measured in patient-derived 3D cultures with molecular context and mechanistic representations of tumor metabolism, while maintaining a clear distinction between experimental observations and model-derived hypotheses. Results. We describe a standards-based workflow that integrates patient-derived GBM drug-response screens with a machine-readable QSP model, MGMT promoter methylation metadata and an explicit evidence-tier framework. MGMT-promoter methylation was confirmed in all patient-derived 3D cultures (Ge258, Ge518 and Ge904). Phenformin (PTF) showed the most pronounced single-agent activity, with a concentration-dependent reduction in viability, while 2-deoxy-D-glucose (2-DG) produced a more moderate effect. Among the higher-order combinations, MTF + BPTES + 2-DG + TMZ produced the most pronounced combination response and a statistically significant reduction in viability under the tested conditions. These findings are interpreted as treatment-response and prioritization signals rather than definitive evidence of pharmacological synergy or clinical efficacy. Availability and implementation. The workflow is designed around open and independently checkable data and model files, including raw plate exports, processed block-level tables, molecular metadata, an SBML/SED-ML/COMBINE model package, an evidence-tier table and a next-experiment protocol. Together, these components provide a reproducible framework for integrating computational predictions with experimental evidence and prioritizing testable drug-combination hypotheses.

Abstract: Stock movement prediction remains challenging because financial time series are nonstationary, noisy, and interdependent across heterogeneous information sources. Conventional multimodal forecasting methods often integrate price, text, and inter-firm relationships into a single representation, making it difficult to capture modality-pair-specific interactions and their varying relevance across market conditions. To address this issue, this study proposes Pairwise Cross-Modal Attention Fusion with Mixture-of-Experts (PaCMoE), which explicitly decomposes multimodal interactions into three modality pairs— price-text, price-graph, and text-graph pair. Each pair is modeled by an independent cross-modal attention expert, and a Mixture-of-Experts router adaptively integrates the resulting representations according to the input. On the ACL18 (StockNet) benchmark, PaCMoE is evaluated using chronological data splitting, validation-based model selection, and ten random seeds. The proposed method achieves an average accuracy of 60.69% and an MCC of 0.2200, outperforming the compared methods evaluated with multiple runs or random seeds in both metrics. These results demonstrate the effectiveness of explicitly modeling pairwise cross-modal interactions and adaptively integrating their contributions for robust stock movement prediction.

Abstract: This study aimed to evaluate the ability of microbes from the rumen contents of cattle as antagonists of pathogenic fungi and as liquid organic fertilizer (LOF) containing P-solubilizing bacteria in rice plants. The mixture consisting of 5 kg rumen contents of cattle, 2 kg of rice bran, 1 kg of molasses, and 10 L of tap water was fermented for 14 days. After fermentation, the mixture was filtered to separate the liquid from the solid components. The solid portion was collected for the isolation and screening of contained bacteria. Subsequent tests included biochemical tests, antagonistic activity tests, DNA extraction, PCR amplification, phosphate solubilization ability testing, inhibitory ability study, and application of LOF in a screen house. One bacterial isolate (PTK2TB code) exhibited the highest antagonistic activity against three tested pathogenic fungi (inhibits more than 50%). Subsequent 16SrDNA sequence analysis showed that this isolate belongs to the same group as the type strain and reference strain of Bacillus amyloliquefaciens. Furthermore, out of the 90 bacterial isolates obtained, 20 demonstrated a high capacity for phosphate solubilization. Additionally, LOF containing phosphate-solubilizing bacterial isolates positively impacted rice growth and yield.

Abstract:

We construct a systematic general-relativistic model of the spacetime generated by a slowly rotating, axially symmetric, self-gravitating clump of collisionless matter whose gravitational potential is of Miyamoto–Nagai type. The metric is taken in a three-function cylindrical gauge, \(ds^2=e^{a}\,dt^2-e^{b}(d\rho^2+dz^2)-\rho^2e^{c}d\phi^2\), with the frame-dragging function \(\omega\) added at the stationary level. We prove a no-go lemma of explicitly delimited scope (no pointwise relation \(c=F(a,b)\) can annihilate the off-diagonal Ricci component) and reduce the field equations, for a diagonal source, to an algebraic system for \(b_\rho,b_z\) valid wherever (∇W)2≠0, \(W=\rho e^{(a+c)/2}\). The integrability of the resulting quadrature is not automatic: we prove that the compatibility condition \(\partial_zb_\rho=\partial_\rho b_z\) is exactly equivalent to the meridional matter-conservation equations — one combination of which is an identity, the other being the equation that determines the remaining metric function — and that at second order in \(\beta=2GM/c^2\) it becomes the linear Poisson-type problem \(\mathcal{L}c_2=4\kappa P_m\). A barotropy criterion shows that a prescribed flattened potential with strictly isotropic pressure is inconsistent already at the Newtonian level, whereas the Miyamoto–Nagai potential admits a globally physical anisotropic solution: density, meridional pressure and stress anisotropy follow in closed form, \(\kappa P_m=\beta^2\varepsilon^2(A+\zeta)^2/(4\zeta^2S^3)\) and \(\kappa(P_\phi-P_m)=A\beta^2\varepsilon^2\rho^2/(2\zeta^3S^3)\), all of definite sign, so that \(P_\phi>P_m\) everywhere off the axis and the anisotropy vanishes identically in the spherical limit. Rotation is included to Hartle order: the dragging obeys a linear equation at all orders in our gauge, the second-order diagonal metric is degenerate under the dispersion–rotation partition of the azimuthal support, and the degeneracy is broken only by the gravitomagnetic sector; the fully rotational realization gives \(v_\phi/v_c\) in closed form, near-circular for thin discs. On this basis we assess detectability: the flattening layer is routinely observable, with a deflection anisotropy decaying anomalously slowly (as \(A/b\)); galactic frame dragging (\(\sim10^{-3}\,\mu\)as yr−1) is astrometrically hopeless, but the parity-odd rotational asymmetry of time delays between opposite-side images of strongly lensed transients, \(\Delta t\sim 8GJ/c^4b\sim10^3\)~s, is detectable in principle given VLBI-grade (\(\sim10\,\mu\)as) astrometry, the threshold being \(M\gtrsim2\times10^{9}M_\odot\) at disc-galaxy velocities; in the compact regime the model yields falsifiable energy-condition bounds (\(\beta_{\rm DEC}\approx3.8\,\varepsilon\), \(\beta_{\rm WEC}\approx6.8\,\varepsilon\)) and dragging frequencies in the QPO band.

Abstract: Despite the rise and wide spread of digital technology, analog circuits are experiencing a resurgence for specific applications due to their efficiency in processing physical signals with fewer transistors and lower energy requirements. They offer advantages in explainability and stability, particularly in sensor systems. However, designing these circuits poses challenges, particularly in optimizing them against issues like component aging and environmental dependence. Current research aims to enhance automation in analog circuit design using optimization methods, including stochastic algorithms like Genetic Algorithms (GA), Simulated Annealing (SA), and Particle Swarm Optimization (PSO). These methods improve convergence and fault tolerance while dealing with the high nonlinearity of analog circuits with transistors. The project's focus is on solving multivariate optimization problems with multiple objective functions for analog circuit design to achieve high performance with minimal energy use, combining various algorithmic strategies for better outcomes. We will evaluate and compare the component optimization of a small signal amplifier circuit using gradient and the different stochastic methods for bipolar junction (BJT) and organic electro-chemical transistors (OECT), differing in transistor transconductance and transfer curves. We can show that PSO outperforms all other optimization algorithms. The OECT components were manufactured with a drop-on-demand ink-jet process, experimentally characterized, finally deriving an electronic functional digital twin model from measuring data. This is a simulation study, but using data and models from real devices.