Research works

Predicting sales offer success of industrial configure-to-order equipment: evaluating explainable AI approach with B2B sales experts

Abstract This study investigates the use of explainable artificial intelligence (AI) for predicting sales offer success in the business-to-business (B2B) context of configure-to-order industrial equipment. Using real sales data from over 400 sales cases and extracted from custome...

Archeology-inspired enhancement strategy for aluminum alloys

Metal casting naturally produces a fine-grained chill layer at the mold interface, although this surface layer is commonly removed during machining. Inspired by archeological observations of ancient Cu-Sn bronzes, we investigated the effects of preserving this naturally formed me...

Role of arterial spin labelling in the assessment of brain tumours and tumour-like lesions: a case-based review

Abstract Arterial spin labelling (ASL) is one of the new cerebral perfusion magnetic resonance imaging (MRI) studies that provides useful information about the intracranial lesional perfusion through the measurement of cerebral blood flow (CBF). Tumours and tumour-like lesions ar...

Diversity and Carelessness in LLM-Generated Psychometric Data: Implications for Data Quality and Trust

Large language models (LLMs) are increasingly used to generate synthetic, human-like data for research and applied decision-making, including synthetic responses to self-report instruments such as surveys and questionnaires. As these synthetic datasets are folded into pipelines t...

From polygenic risk to functional genomics: a framework for precision gynecological disease modeling

Abstract Gynecological conditions including endometriosis, polyendocrine metabolic ovarian syndrome and malignancies cause widespread chronic morbidity and infertility, yet translating genetic discoveries into biological mechanisms remains challenging. We propose a framework inte...

A Topological and Spatial Analysis of FDA‐Approved Drugs, Blood‐Brain Barrier Permeants, Natural Products, and Metabolites

In this study, we present a comprehensive structural analysis of four distinct chemical libraries: FDA‐approved drugs, blood‐brain barrier (BBB) permeable agents, natural products (UNPDA), and human metabolites. Our multidimensional profiling reveals fundamental divergences in mo...

TARBIYA-INSON KAMOLOTINING ASOSI.

Ushbu maqolada tarbiyaning inson kamolotidagi o'rni va ahamiyati yoritlgan. Tarbiya shaxsning ma'naviy, axloqiy, aqliy va jismoniy rivojlanishiga ta'sir etuvchi asosiy omil sifatida talqin qilinadi. Shuningdek, oilaning, ota-onaning va ta'lim tarbiya jarayonining insonni komil sh...

Recent Advances in Biomarkers of Systemic Sclerosis-Associated Interstitial Lung Disease: Clinical Relevance and Therapeutic Perspectives

Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is the leading cause of mortality in patients with systemic sclerosis and a major clinical challenge due to its heterogeneous presentation and variable disease course. Reliable biomarkers may improve disease assess...

Optimal Configuration of Traction Power Supply Systems Based on Deep Reinforcement Learning

To address the coupling among power supply topology, module selection, capacity allocation, and N-2 contingency assessment in flexible traction power supply systems, a deep-reinforcement-learning-guided branch-and-bound method is proposed for equipment siting and sizing. The Acto...

66 Case report: successful targeted treatments in NTRK fusion and BRAFV600E mutant gliomas

Abstract Introduction It is rare to find targetable mutations in gliomas. The evidence for using targeted agents remains limited. NICE recommends performing Next Generation and Whole Genome Sequencing (NGS, WGS) for all patients with brain tumours, to identify targets for treatme...

The Heart–Kidney Axis in Heart Failure and Chronic Kidney Disease: Mechanisms, Mediators, and Therapeutic Implications

The heart–kidney axis has emerged as a central framework for understanding the bidirectional interactions that drive cardiorenal syndrome and broader cardiovascular–kidney–metabolic (CKM) disease. However, existing interpretations have often emphasized hemodynamic and neurohormon...

Misdiagnosis of uveal melanoma and other intraocular malignancies in enucleated eyes: a 28-year national review

Abstract Background Intraocular tumors are often diagnosed clinically rather than by biopsy, so a benign lesion can be mistaken for malignancy and lead to enucleation. We determined how often uveal melanoma (UM) and other intraocular tumors are clinically misdiagnosed among enucl...

Conspicuous consumption of socially excluded consumers: the roles of self-esteem and face concern

Purpose Social exclusion is hypothesized to motivate conspicuous consumption. However, prior evidence has remained unreconciled. Under the sociometer theory, this study proposes a model to clarify the effects of social exclusion on conspicuous consumption, with negative self-este...

Development of a Two Stage Pipeline for Robust Pulmonary Nodule Detection in Consecutive CT Slices

Background/Objectives: Current pulmonary nodule detection systems often neglect the spatiotemporal continuity inherent in computed tomography (CT) sequences within a single scan. They treat individual slices as independent images and lack mechanisms to recover missed detections....

Parkinsonism-like delayed neurotoxicity after idecabtagene vicleucel therapy for multiple myeloma: clinicopathological, cerebrospinal fluid, and autopsy analyses

Not available.

A Boundary Virtual Load Method for Prestress-Field Prediction in Corner-Tensioned Membranes

Flexible membrane structures, such as solar sails and membrane reflectors, rely on accurate characterization of in-plane prestress for structural reliability and functional performance. This study proposes a Boundary Virtual Load Method (BVLM) for the semi-analytical prediction o...

The Growth Trap: Recruitment Windfalls and Bottom-Up Transformation in Militant Organizations

Recruitment windfalls can strengthen militant organizations while redirecting their strategy and tactics. This article develops the growth trap mechanism, a grassroots driven process in which incomplete socialization and delegation embed new recruits’ preferences into organizatio...

Adoption of AI in Romanian PR and communication education: A TAM-informed survey study

This study examines Romanian communication and public relations (PR) students' familiarity with and attitudes toward artificial intelligence (AI). We conducted a cross-sectional online survey from September to October 2023 and recruited participants through targeted Facebook adve...

EXTRACTED METHOD: gods_clock_tempo_alignment — E8 Intelligence Research

rule: Align symphony tempo (BPM) to 86400-second day cycle; check if key modulations occur at golden-ratio points of movement duration using existing Gods-Clock algorithm. source: rlab #199 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Res...

Collaborative Digital Electoral Governance and Political Misinformation in Indonesia’s Platform-Mediated Elections

Digital platforms have become central to electoral communication, political persuasion, and campaign visibility, but they also intensify risks of political misinformation and deceptive electoral persuasion. This study examines how collaborative digital electoral governance shapes...