This study evaluates machine learning methods for predicting bankruptcies in the Korean shipping industry over one-, three-, and five-year horizons. Using an imbalanced dataset, preprocessing techniques such as outlier capping, skewness correction, and SMOTE-based oversampling are applied. Two feature sets – financial variables and those enriched with macroeconomic and shipping indicators – are analyzed. Results demonstrate that ensemble methods like LightGBM, CatBoost, XGBoost outperform linear models and deep neural networks across all horizons. Short-term predictions are driven by liquidity factors, while long-term forecasts benefit from shipping-specific indices like freight rates. SHAP‐based analysis reveals that internal cash‐flow as critical for one‐year predictions, whereas prolonged freight rate declines and financing pressures dominate longer horizons. These findings highlight the importance of horizon‐specific modeling, support the adoption of advanced machine learning in maritime risk assessment, and encourage further exploration of sector-specific features to improve predictive accuracy and resilience in the shipping industries.

Computational humor recognition is considered one of the most challenging tasks in Natural Language Processing (NLP) primarily due to the intricate nature of humor as an emotion. Although most studies on humor recognition have focused on English textual sources, much work has been done in other languages as well. However, there is a notable gap in the literature concerning the Greek language. This paper introduces the first-ever Greek Humorous Dataset (GHD), specifically designed to address this void in the literature. GHD is a manually annotated balanced dataset consisting of 10,000 short text samples labeled as either humorous or non-humorous. In addition to a detailed description of the dataset, we compare the performance of ten machine learning models using text representation feature engineering techniques to establish benchmarks for future research. With the development of GHD, we aim to not only contribute to the expanding field of knowledge in computational humor recognition but also foster a positive impact on future research endeavors in Greek language processing.

Background: RSV infection poses a threat of severe lower respiratory tract illness in children. We investigated RSV-related ICU admissions and risk factors among Korean children. Methods: A retrospective study using EMR transformed into OMOP CDM was conducted across three Korean tertiary centers from 2008 to 2022. Pediatric patients hospitalized with RSV infection were analyzed to identify ICU admission risks. Results: Among 33,674 children aged 0–9 years tested, 4.5% were RSV positive, peaking in <10-month-olds. Of 1,529 RSV-positive cases, 29 required ICU, mainly <5 months. Logistic regression showed varying ICU admission odds across age groups. Gestational age < 27 weeks and extremely low birth weight had notably higher odds, with 28–36 weeks’ gestation and LBW also significant. Conclusion: This study, utilizing OMOP CDM, uncovers critical risk factors for severe RSV infection in children. Future multi-institutional research can enhance our understanding of these factors.

Background: The ”internal and external crosstalk” between skin barrier dysfunction and immune inflammatory response is the main pathogenesis of atopic dermatitis (AD), with the Th2 immune inflammatory response being the main link. Migration of circulating lymphocytes to inflammatory sites is essential for the immune response. Although AD is characterized by lymphocyte infiltration into the dermis, its skin-homing effect remains poorly defined. Methods: In this study, we induced an AD mouse model using DNFB to observe the skin barrier function changes and examine the Th2 immune inflammatory response. Additionally, we analyzed the homing of Th2 cells from peripheral blood to the skin and the gene and protein expression of key homing molecules. Furthermore, we explored the relationship between skin-homing and AD. Results: In the AD mouse model, skin barrier damage was observed, along with the skin-homing of Th2 lymphocytes and related immune inflammatory responses. Correlation analysis showed a significant positive correlation between the levels of homing cells and homing molecule proteins in peripheral blood and the protein levels of skin Th2 immune cells and transcription factors. Additionally, there was a significant linear relationship between the gene levels of homing molecules and AD symptoms. Conclusions: This study found that AD mice mainly exhibited skin barrier damage and Th2 cell immune responses, along with the phenomenon of skin-homing of Th2 lymphocytes, which can exacerbate AD symptoms. By intervening in the skin-homing of Th2 lymphocytes, AD symptoms can be effectively improved, and recurrences could be prevented.

Background: Oral squamous cell carcinoma (OSCC) is one of the most common oral malignancies. Since the prognosis is directly related to it’s stage, timely diagnosis is important. miRNAs are potential biomarkers that can regulate the process of carcinogenesis. By examining their expression, it may be possible to use them for diagnosis . Therefore, this study aimed to investigate the expression level of miRNA-376a,b in OSCC and normal adjacent tissue. Materials and methods: 30 tissue samples of OSCC were obtained. The expression level of miR-376a,b was measured using qRT-PCR technique. To compare the expression levels of miR-376a,b, the Paired Sample T Test was used. Also, multiple linear regression test was used to investigate the relationship between age, sex, tumor size, stage and grade with the marker expression level. Result: The results revealed that the average expression level of miR-376a,b in the tumor group was significantly higher(p=0.000). There was no significant correlation between the patients’ age and sex or tumor’s size, stage and grade and with the expression of these markers(p>0.05). Conclusion: The notable increase in the expression of miR-376a,b in OSCC samples suggests that these miRNAs may have potential as biomarkers for the diagnosis of OSCC, as well as for treatment strategies.

A document by Rimjhim Chandra. Click on the document to view its contents.

Driverless technology is revolutionizing transportation, promising improved safety, efficiency, and accessibility. However, the widespread adoption of autonomous vehicles (AVs) hinges on addressing critical cybersecurity challenges to build public trust. This paper investigates the multifaceted cybersecurity threats faced by driverless systems, including vulnerabilities in communication networks, sensor spoofing, software tampering, and potential breaches in cloud-based data management. These risks not only compromise passenger safety but also erode trust in the technology's reliability and resilience. To overcome these challenges, the paper suggests a comprehensive cybersecurity framework for AVs. This includes robust encryption protocols for vehicle-to-everything (V2X) communication, machine learning-based intrusion detection systems, and blockchainenhanced data integrity solutions. Additionally, regulatory recommendations and industry collaboration are highlighted as essential components in developing standardized cybersecurity measures. The study analyzes real-world incidents and potential attack vectors to provide actionable insights in fortifying the cybersecurity of driverless systems. Ultimately, this paper emphasizes that building trust in the technology of autonomous vehicles requires proactive and transparent approaches to cybersecurity, with the safe and secure integration of AVs into society.

A Case Report of Acute Ischemic Stroke Caused by Internal Carotid Artery Dissection Associated with an Overly Long Styloid Process: A Literature ReviewWenxian Lu1*, Wei Zhuang1*, Xuezhen Wang1, Linshan Sun1, Xiaowen Song1#,Bin Li1#1Department of Neurology, Binzhou Medical University Hospital, Binzhou/256603, Shandong, ChinaDeclarations of Interest:NoneDisclosure of Funding:This work was supported by the following grants: Scientific Research Foundation of Binzhou Medical University (grant number BY2020KJ17), National Natural Science Foundation of China (grant number 82201356).*These authors contributed equally to this work.#Correspondence should be addressed to Bin Li (byfylb2017@163.com) and Xiaowen Song (chyna_song1993@163.com).Author ContributionsWenxian Lu : Methodology, Validation, Writing - original draftWei Zhuang : Data curation, Formal analysis, SoftwareXuezhen Wang : Conceptualization, Validation, VisualizationLinshan Sun : Funding acquisitionXiaowen Song : Funding acquisition, Project administration, Writing- review & editingBin Li : Data curation, Methodology, Resources, SupervisionConsentWritten consent was obtained from the patient.Abstract : Elongation of the styloid process is a notable etiological factor in internal carotid artery dissection (ICAD), where the abnormal morphology of the styloid process induces chronic mechanical stress. This stress can precipitate the formation of arterial dissection and, ultimately, ischemic stroke. This report details a case of a patient who developed a left internal carotid artery dissection secondary to styloid process elongation, which was successfully managed. With the continued advancements in medical imaging and an evolving understanding of this pathology, the accurate diagnosis and effective management of such cases are increasingly achievable. Through a comprehensive review of recent domestic and international literature, this article aims to offer valuable diagnostic and therapeutic insights to clinicians, thereby minimizing the risk of misdiagnosis and improving clinical outcomes.Keywords : Styloid process elongation; Ischemic stroke; Internal carotid artery dissection; Styloid syndromeThe styloid process, anatomically situated in close proximity to the cervical vasculature, is positioned between the internal and external carotid arteries, with the internal jugular vein located posteriorly. Anatomical abnormalities of the styloid process may exert mechanical pressure on the cervical vascular structures and nerves, contributing to a spectrum of symptoms known as Styloid Process Syndrome (SPS), or Eagle Syndrome. This syndrome encompasses a variety of clinical manifestations, including foreign body sensation, pharyngeal pain, reflexive ear pain, and head and neck pain [1,2]. Evidence indicates that elongation of the styloid process can lead to transient or permanent ischemic episodes, and is strongly linked to the occurrence of internal carotid artery dissection (ICAD) and vertebral artery dissection (VAD) [1,3]. However, the clinical presentation of stroke associated with Styloid Process Syndrome is often atypical and rare, resulting in limited recognition among clinicians and underscoring the necessity for improved diagnostic and treatment strategies. This article presents a detailed case diagnosed and followed up at the Affiliated Hospital of Binzhou Medical University in 2023, where styloid process elongation precipitated internal carotid artery dissection and ischemic stroke. A comprehensive review of the pertinent literature is provided to offer valuable insights for clinical diagnosis and management.

A document by Catherine Breen. Click on the document to view its contents.

AbstractIn the context of the EU Chemicals Strategy for Sustainability Towards a Toxic-free Environment, and in the aim to facilitate Safe-and-Sustainable-by-Design (SSbD) development of new materials and products, the EU-funded project HARMLESS builds a Decision Support System (DSS) to support innovators in SSbD assessments of products at early design stages. The HARMLESS DSS is fine-tuned to enable Advanced Materials (AdMa) screening, using a combination of New Approach Methodologies (NAMs) and guided by Integrated Approaches to Testing and Assessment (IATAs). Three online tools for SSbD screenings are developed and tested on case study materials, namely: Advanced Materials Earliest Assessment (AMEA), Warning flags, design Advice, Screening Priorities (WASP) and Alternative SSbD Inspector (ASDI). The following case studies are assessed: Oxide-perovskites for automotive catalysts, imogolites for agricultural solutions, aerogel mats for facade insulation and colloidal silica for paint formulations. The case study materials are provided by both large and small enterprises, they represent diverse industry sectors and different stages in the value chain. Results show the DSS ability to guide innovators in developing SSbD AdMa, by facilitating the assessment of most SSbD dimensions and visualizing the results in a comprehensive, yet detailed way, enabling their own balancing of SSbD benefits and trade-offs.

Title : A case of choledocholithiasis 10 years post cholecystectomy, a rare case report-Matthew Mufuridza Vengesai 1 Amrit Pokhrel1 , Dr Senanayake Prematilake 1, Dr Peter Braude 11- Department of Internal Medicine, Manning Base Hospital, Taree, Australia.

Understanding how medicinal plants adapt to environmental changes is critical for optimizing their growth, yield, and pharmacological quality. This study investigates the adaptive mechanisms of Schisandra sphenanthera following ecological migration from Luanchuan (LC) to Tongdao (TD), focusing on the interplay between metabolic reprogramming, microbial community dynamics, and transcriptional regulation. Utilizing an integrative multi-omics approach—combining metabolomics (HPLC-MS), transcriptomics (RNA-seq), and metagenomics—we identified 2,627 metabolites, 57,061 unigenes, and significant shifts in microbial community structures. Notably, the accumulation of lignans (e.g., Schisandrin A, B, C) and triterpenoids (e.g., hydroxymexicanoic acid, ganoderic acid) significantly increased in TD, while flavonoid compounds (e.g., apigenin, daidzein) decreased, indicating a resource allocation trade-off consistent with the ”energy allocation hypothesis.” Concurrently, rhizosphere microbial communities shifted from Alphaproteobacteria dominance in LC to Actinobacteria prevalence in TD, with implications for nitrogen fixation and pathogen suppression. Transcriptomic analyses revealed extensive reprogramming, with upregulation of key genes ( PAL, 4CL, SQS) linked to secondary metabolism, and Weighted Gene Co-expression Network Analysis (WGCNA) highlighted MAPK signaling pathways mediating plant-microbe interactions. These findings elucidate a complex regulatory network where environmental stress triggers microbial community restructuring, transcriptional reprogramming, and secondary metabolism remodeling, ultimately facilitating ecological adaptation.

Objective: This study aimed to quantify the interplay between socioeconomic and ethnic inequalities in preterm birth rates using routinely collected maternity data in England from 2018-2021. Design: A retrospective cohort study using electronic health data. Setting: English hospitals. Sample: 1,537,595 livebirths. All women aged 13-55 with a singleton livebirth (April 2018-March 2021) at 24-42 weeks were included. Methods: Multivariate Poisson regression was used to estimate rate of preterm birth in each ethnic and deprivation group. A post-hoc calculation identified the rate of preterm birth for each ethnic group at each level of deprivation. Main Outcome Measures: Preterm birth (livebirth less than 37 weeks). Results: The rate of preterm birth was 6·30% (95%CI:6·22-6·37) in women living in the most deprived areas, compared to a rate of 5·05% (95%CI:4·96-5·14) among women in the least deprived areas. White women had a preterm birth rate of 5·74% (95%CI:5·70-5·78). Whereas South Asian and Black women had higher rates of preterm birth at 6·09% (95%CI:5·98-6·21) and 5·89% (95%CI:5·70-6·09) respectively. Deprivation attenuated the rate of preterm birth across all ethnicity groups. In areas of high deprivation, preterm birth rates were similar across ethnicity groups. In the least deprived areas, South Asian and Black women had higher rates of preterm birth. Conclusion: Deprivation and ethnicity remain key drivers of inequalities in preterm birth. Prevention strategies need to address socioenvironmental and structural determinants of preterm birth in areas of high deprivation and minority ethnicity groups.

The insulating nature and complex redox reaction of elemental sulfur mandates their encapsulation inside an electronic conductor such as carbon. We discuss here a sulfur/microporous carbon aerogel (S/CA) composite as an efficient, low-cost, high-performance cathode for rechargeable lithium-sulfur (Li/S) battery. The S/CA cathode with varying ratios of sulfur:CA is prepared using pressure induced melt diffusion technique. Of the four different ratios, (sulfur:CA= 70:30) exhibited the best performance. The Li/S cell with (sulfur:CA= 70:30) cathode shows a first discharge capacity of 1308 mAhg -1 at a current rate C/10 and the cell is stable up to 300 cycles with a discharge capacity ≈750 mAhg -1. This composition also exhibits good rate capability over the current density range (0.1-2)C. Post cycling UV-Visible absorbance spectroscopy is carried out to ascertain the dissolution of lithium polysulfides in various S/CA cathodes. UV-Visible results confirm that among the various sulfur:CA compositions, the one with the (sulfur:CA= 70:30) has the optimum retention of polysulfides leading to a superior Li/S battery performance.

Planktonic Foraminifera (PF) shells are ubiquitous archives used as proxies in paleoceanography, and play a crucial role in paleoclimate reconstruction. Planktonic Foraminifera species are sensitive to both abiotic and biotic environmental parameters, and have experienced habitat shifts in response to ocean warming since the post-industrial era. In comparison to the seminal works from the 1950s to the 1970s, we reevaluate the ecological niche of planktonic Foraminifera in the modern ocean. Here, we present the most comprehensive update of their modern global ecological niches, vertical habitat distribution and thermal tolerance using the FORCIS database, which includes all available water-column sourced data over the last century. Our analysis of modern planktonic Foraminifera global distribution patterns, over the 1970-2018 interval, reveals the highest diversity in the tropical and subtropical oceans. Planktonic Foraminifera have consistently maintained a depth preference within the upper 100 m of the ocean, likely due to dependence on light and food availability. Spanning temperatures from-2°C to more than 32°C highlights the remarkable thermal tolerance and/or adaptability of PF to a wide range of temperatures. In addition, species that were once restricted to lower latitudes in the early post-industrial era (pre-1970) have been observed at higher latitudes over the past 50 years. Since the 1970s, small to medium-sized species have increased in abundance across all latitudes, from tropical to polar oceans, a trend particularly evident in the extensive data from the eastern North Atlantic. The analyses of the FORCIS database updates the evolving biogeography of modern PF, and advances our understanding of their ecology, providing revised benchmarks for paleoceanographic interpretations and the ecology of modern planktonic calcifiers.

The reproductive cycle of plants features a crucial transition between diploid sporophytic and haploid gametophytic generations. In garlic ( Allium sativum L .), a lack of gametophyte fertility poses significant challenges for breeding. This study conducted a comprehensive comparative transcriptomic analysis across three developmental stages of garlic floral buds from three genotypes with varied fertility profiles to unravel the genetic underpinnings of gametophyte development. Through differential expression analysis and weighted gene co-expression network analysis (WGCNA), we identified key pathways and genes influencing gametophyte fertility. Our analysis revealed significant enrichment in pathways related to lipid metabolism, amino acid biosynthesis, nucleic acid metabolism, and ribosome biogenesis, which are pivotal for gametophyte vitality and development. Furthermore, we identified the AsAMS gene as a key regulator of gametophyte fertility, that may orchestrat tapetal development and microspore formation by modulating the expression of genes involved in lipid biosynthesis and transport, thereby playing a crucial role in pollen viability. The first functional validation using virus-induced gene silencing (VIGS) in garlic further substantiated the role of AsAMS, which demonstrated its critical impact on pollen viability and morphological integrity of reproductive structures. Taken together, these findings not only deepen our understanding of the genetic mechanisms underlying gametophyte development in garlic but also shed light on potential genetic interventions to overcome fertility barriers. By delineating the pathways and key regulators such as AsAMS, this study opens new avenues for enhancing reproductive efficiency in garlic.

Ethnopharmacological relevance: Glaucocalyxin B (GLB) is known for its anti-inflammatory properties, including alleviating neuroinflammation and treating inflammatory bone injuries. However, its effects on inflammation-induced damage in diabetic cardiomyopathy (DCM) have not been adequately studied. Aim of the study: This study aims to investigate the effects of GLB on inflammatory injury in DCM and to explore its mechanisms in reducing myocardial inflammatory injury. Materials and methods: We utilized network pharmacology analysis, a diabetic rat model (the experimental period lasts for 8 weeks), and H9c2 rat cardiomyocyte experiments to assess the potential of GLB to alleviate DCM-induced inflammatory damage, while also investigating the related anti-inflammatory mechanisms of GLB. Results: Network pharmacology analysis of GLB revealed its involvement in regulating myocardial cell proliferation and the DCM process, as well as its association with inflammation, apoptosis, and oxidative damage. Further in vivo and in vitro studies demonstrated that the application of GLB significantly reduced the levels of oxidative stress markers, such as ROS and MDA, at both tissue and cellular levels. Additionally, GLB also reduced cardiomyocyte apoptosis caused by high glucose levels by enhancing the BCL2/BAX ratio. Signal pathway analysis indicates that the use of GLB inhibits the activation of the NF-κB/NLRP3 pathway. Conclusion: Overall, the findings suggest that GLB effectively mitigates oxidative stress and inflammatory damage associated with DCM. The protective effects of GLB are linked to its modulation of the NF-κB/NLRP3 signaling pathway.

Aims: The study aimed to elucidate the population pharmacokinetics of ciprofol in surgical pediatric patients and to establish a validated dosing regimen for this demographic. Methods: In this study, 27 healthy Chinese children aged 1 to 9, scheduled for elective urologic surgery, received a 0.6 mg/kg bolus of ciprofol over 30 seconds. Thirteen arterial blood samples were collected from each child for analysis. A population pharmacokinetic analysis using nonlinear mixed-effects modeling was conducted with intensive sampling data, and safety assessments were performed throughout the trial. Results: Ciprofol’s pharmacokinetics were best described by a three-compartment model, with key parameters estimated as follows: clearance (CL) at 0.0313 L/min/kg, central compartment volume (V1) at 0.506 L/kg, and peripheral volumes V2 and V3 at 0.225 L/kg and 1.34 L/kg, respectively. Intercompartmental clearances were CL2 at 0.0278 L/min/kg and CL3 at 0.0199 L/min/kg. Including blood urea nitrogen (BUN) as a covariate for V1 improved the model statistically, but its effect on ciprofol exposure was minimal and not clinically significant. Age and weight had no impact on ciprofol’s pharmacokinetics. The study also reported that ciprofol was well-tolerated, with no hemodynamic adverse events. Conclusions: In pediatric patients, both CL and V1 of ciprofol are higher per kilogram than in adults, necessitating a higher induction dose. A 0.6 mg/kg dose in children aged 1 to 9 is expected to provide similar exposure without adverse effects.

A document by Paolo Marra-Biggs. Click on the document to view its contents.

Variations of residual stress fields in a fatigue test specimen and/or across specimens influence the plasticity-induced crack closure process as well as the out-of-plane constraint factor. Therefore, these variations can contribute significantly to the scatter of fatigue properties obtained on specimens without stress relief, especially at low stress intensity factor range. To address this problem, a new compliance-based method is developed for correcting fatigue crack growth data in the presence of a residual stress fields of variable magnitude. It is based on the theoretical modelling of the propagation of an edge crack in an elasto-plastic material subjected to cyclic loading of a constant amplitude. The method is demonstrated for compact tension super duplex stainless steel (SDSS) specimens fabricated using wire-arc additive manufacturing (WAAM) and tested without post-fabrication heat treatment. It can be applied for both the evaluation of residual stress fields in fatigue specimens and obtaining the intrinsic fatigue properties of materials.

Using a RAD sequencing approach to investigate the taxonomic classification of Tridacninae giant clams (genera: Hippopus and Tridacna) and address the phylogenetic discordance within the current literature. Population Size and Structure: Focusing in American Sāmoa, we conducted a comprehensive array of surveys on SCUBA, to assess current population stocks and identifying local hotspots for restoration purposes. Population Genetics: Using T. maxima samples, we are analyzing population genetics to identify source-sink populations and measure interisland connectivity.

In recent times, machine learning being an exciting area, has attracted a lot of studies for its ability to foresee complex chemical and biological properties of chemical compounds used in drug design. This article proposes a machine-learning based quantitative structure-property relationship(QSPR) model for benzenoid hydrocarbons and their physical properties through eigenvalues-based graphical indices. Benzenoid hydrocarbons play a crucial role in drug design and pharmaceutical chemistry due to their stability, aromaticity, and ability to participate in various biological interactions. To validate the results, machine learning technique is applied to predict the properties using various graphical indices. Further, to rank the best hydrocarbon MCDM technique namely SAW is adopted. From the analysis, it is obvious that the best predictive graphical index is Laplacian energy for the property polarizability and the best hydrocarbon is Dibenzo[a,h]pyrene.

The pollen morphology of 13 Euphorbiaceae species and one Phyllanthaceae species native to forest fragments of Cerrado was investigated to contribute to expanding the morphological knowledge and characterizing species for the conservation of degraded areas. The pollen grains were acetolyzed, measured, and photographed using light microscopy (LM). To obtain more details of exine ornamentation, non-acetolyzed pollen grains of some species were observed using scanning electron microscopy (SEM). The qualitative data were described, a pollen key was presented, and descriptive and multivariate statistics analyzed the quantitative data. The pollen grains of Euphorbiaceae differ in polarity, size, amb, shape, number, and type of apertures (inaperturate, 3-colporate, 4-porate, or pantoporate), type of endoapertures (circular, lalongate, lolongate or endocingulate) and exine ornamentation (psilate, microreticulate, reticulate, or with Croton-pattern). Phyllanthus acuminatus Vahl. (Phyllanthaceae) presents pollen grains in monads, isopolar, medium, circular amb, oblate spheroidal, 3-diploporate, and exine pilate. The number and type of apertures, the morphology of the endoapertures, and the ornamentation of the exine were the essential data for distinguishing the studied species, in addition to the diameter measurements and the variations in the thickness of the exine layers being quantitative characters that characterize the analyzed taxa.

Breast cancer remains a leading cause of mortality among women, driving the need for more accurate diagnostic tools. To address this, a smart ruthenium (Ru)-catalyzed bioorthogonal activation chemiluminescent (BAC) probe has been developed for long-lasting non-invasive in vivo imaging. Although chemiluminescence imaging offers ultrahigh sensitivity without background autofluorescence, its application in breast cancer is limited by poor selectivity in complex tumor environments, slow activation kinetics and insufficient resolution. The BAC probe overcomes these challenges via a smart “Ru-locked” mechanism, achieving light-independent, thiol-triggered activation in complex tumor microenvironment. This mechanism enables rapid activation (1 min), prolonged half-life ( t 1/2 = 18.5 h), and high sensitivity (LOD = 87 nM) across a broad emission range (400-800 nm), while enhancing selectivity for thiol-containing metabolites, particularly H 2S. The probe exhibits low toxicity in vitro and efficiently activates chemiluminescence within the tumor microenvironment in vivo, enabling precise imaging for tumor localization and image-guided surgery. Additionally, the phenoxy-adamantyl-1,2-dioxetane luminophores are developed via an efficient synthetic route, which reduces the synthesis from seven steps to two, lowering production costs (300- to 400-fold) and increasing yields from 40% to 95%. This study introduces a smart Ru-locked BAC probe for real-time, non-invasive monitoring of thiol-related homeostasis in breast cancer, with promising application in clinical diagnostic and therapeutic potential.