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EDITORIAL DEEP DIVES

In-depth research analyses

Source-verified editorial analyses, ordered by latest publication date

972 analyses
multidisciplinary73IMPACT SIGNAL

Digital Triple-Code Model Game Intervention for Enhancing Mathematical Achievement and Working Memory in Children at Risk of Mathematical Difficulties

Children at risk of mathematical difficulties (MD) are increasingly prevalent worldwide. This study developed a digital game–based intervention grounded in the Triple-Code Model (TCM) and aligned with the standardized mathematics curriculum and learning indicators. The intervention design followed the ADDIE and digital game-based learning frameworks. Instruments were validated by experts and piloted with 45 children at risk of MD. Seventy primary school students aged 9–11 years were randomly assigned to experimental or control groups. Computerized tests of mathematical achievement, verbal working memory, and spatial working memory were administered. Results revealed significantly greater post-training improvements in the experimental group across all measures, with large effect sizes. The findings suggest that the digital TCM game effectively enhances mathematical performance and cognitive functioning, possibly through mechanisms involving positive emotion, goal-directed processing, and reduced cognitive load, supporting its potential as a supplementary educational tool for children at risk of MD.

Thai researchers
multidisciplinary73IMPACT SIGNAL

Linking shelter conditions to health: A multisystem analysis of stress, metabolism, and fecal microbiota in dogs

Variations in space allocation and husbandry practices can significantly affect the health and welfare of long-term shelter dogs. This study compared adrenal, metabolic, and microbiological health indicators among dogs from three shelters in Thailand: Shelter A - low-density (20.3 m²/dog), adequate enclosure size (101.9 m²), and an enrichment program; Shelter B - medium-density (3.9 m²), large enclosures (150 m²); and Shelter C - high density (3.0 m²), one communal space (800 m²), and no enrichment. Fecal glucocorticoid metabolite (fGCM) concentrations, oxidative stress (malondialdehyde, MDA), metabolic parameters (glucose, insulin, fructosamine, lipid profiles), and fecal microbiota composition and diversity were measured and analyzed in relation to management factors. Dogs in Shelter A exhibited the lowest fGCM concentrations (207.41 ± 4.55 ng/g), normal metabolic profiles, and richer, more even fecal microbiota. In contrast, dogs in Shelter C, a temple-based facility with more crowding and limited space, exhibited higher fGCM (278.71 ± 10.44 ng/g) and fructosamine concentrations, reduced alpha diversity, and a highly skewed Firmicutes-to-Bacteroidota ratio, suggesting possible adrenal cortical and microbial dysbiosis. Shelter B presented intermediate values across most parameters and management inputs. These findings show that management practices, including space allocation and enrichment, can influence stress physiology, metabolic health, and fecal microbiota composition in long-term sheltered dogs.

Thai researchers
engineering73IMPACT SIGNAL

Forging Industry 4.0 Readiness: A Quasi‐Experimental Study on the Impact of Spreadsheet‐Integrated Automation in First‐Year Engineering Physics Labs

ABSTRACT The rapid global transformation catalyzed by Industry 4.0 fundamentally necessitates a reconstitution of the engineering skillset, particularly emphasizing digital tool proficiency, systematic problem formulation, and collaborative practice. A persistent and troubling skills gap remains, as traditional introductory physics laboratories, constrained by procedural compliance, routinely fail to cultivate these multidimensional professional competencies during the critical first‐year stage. This study addresses this pressing curricular deficit by rigorously evaluating a novel spreadsheet‐integrated automation framework (SIAF) designed for early curricular intervention. We utilized a quasi‐experimental mixed‐methods design involving 203 first‐year engineering students. Our methodology demonstrates technical depth by integrating ubiquitous spreadsheet software with low‐cost IoT microcontrollers (ESP32) for real‐time data processing and acquisition, thereby simulating authentic industrial workflows. Crucially, the study deployed a validated multi‐dimensional IRR, addressing a persistent methodological deficit in holistic competency assessment. Quantitative analysis confirmed the SIAF's robust efficacy, yielding statistically significant positive improvements across six competency domains. The most substantial gains were registered in domains essential for the digital workplace: spreadsheet skills ( d ≈ 0.65), technical skills ( d ≈ 0.45), and digital/automation literacy ( d ≈ 0.43). Qualitative data revealed that automation successfully reduced extraneous cognitive load, fostering systematic troubleshooting and a strong sense of digital fluency derived from self‐mastery. These results provide compelling empirical support for adopting this replicable, outcome‐based…

Thai researchers
multidisciplinary73IMPACT SIGNAL

Evolving Pathways of Departure and Return in Rural Thailand

ABSTRACT This paper draws on a forty‐year longitudinal (1982–2022) village study of Thailand to reflect on how circulation persists, but in new ways. We trace evolving migration flows over a period during which Thailand progressed from low‐income to upper‐middle‐income status, and Non Tae and Tha Song Korn from semi‐subsistence rice‐growing communities to increasingly prosperous settlements with multi‐stranded livelihoods. Villagers accumulated considerable educational capital and left the villages in growing numbers to find work in other places and sectors. They also, however, in large part also returned, raising questions about linear and one‐directional theories of agrarian and mobility transition. It is argued that departure and return continue to be co‐produced in response to conditions in the villages and the wider Thai economy. Circulation is a central element in understanding Thailand's truncated agrarian transition, and vice vera.

Thai researchers
multidisciplinary73IMPACT SIGNAL

Self-Assembled Supramolecular Chiral Complexes of Alginate and Cyanidin-3-O-Glucoside: Insights into the Molecular Basis of Assembly Formation

Complexes of cyanidin 3-O-glucoside (CND) and alginate (Alg) form long-range supramolecular structures at pH 4, where CND is predominantly uncharged. Under these conditions, the complexes exhibit pronounced chiroptical activity, with Circular Dichroism (CD) bands significantly more intense than those of free CND or of CND/Alg complexes formed at lower pH values. Alginate consists of guluronic and mannuronic acid units, which differ in the axial or equatorial orientation of one carboxyl group, respectively. To gain insight into the molecular basis of CND–alginate complexation, CND was separately complexed with polyguluronic (PolyG) and polymannuronic (PolyM) acids. In both cases, only small aggregates were formed, with sizes around 200 nm as measured by Dynamic Light Scattering (DLS) and 60–120 nm by Atomic Force Microscopy (AFM) in the dry state. These aggregates lacked the characteristic CD bands observed for CND/Alg complexes at pH 4. Molecular dynamics simulations showed that the spacing between successive carboxylate groups interacting with CND molecules in PolyG and PolyM acids is approximately 7.5–8.0 Å. In alginate, however, an additional shorter distance of about 5.0 Å is present, arising from the alternating guluronic and mannuronic residues along the polymer chain. These results suggest that the alternation of guluronic and mannuronic units in alginate plays an important role in promoting CND–CND interactions, thereby driving cooperative assembly and the formation of extended supramolecular structures with enhanced chiroptical response.

Thai researchers
public-health72IMPACT SIGNAL

The Impact of the Development Trend and Policy Optimi-zation of NEV on Guizhou Consumers' Usage Behavior Based on Its Natural Environment

Hong Kong's well-established financial platform has become a key driver of the international expansion of small and medium-sized enterprises (SMEs) from mainland China. This article examines how Hong Kong's financial ecosystem—including capital-raising channels, trade finance, supply chain financing, investment facilitation, corporate governance frameworks, and global market access—supports SME growth and internationalization. The analysis identifies the types of SMEs that benefit most from these financial services, the primary purposes of the funds obtained, the organizational requirements for accessing financing, the advantages of establishing companies in Hong Kong, and the financing options available, including government-backed loans, initial public offerings (IPOs), and private financing markets. The findings indicate that Hong Kong's financial platform effectively reduces financing constraints, improves cross-border business efficiency, strengthens corporate governance practices, and enhances international competitiveness. In addition, the platform provides SMEs with greater credibility and access to global investors and business networks. The study concludes that leveraging Hong Kong's financial infrastructure can significantly accelerate the international growth of mainland Chinese SMEs and recommends strategic collaboration between enterprises and policymakers to maximize these financial and institutional advantages.

Thai researchers
multidisciplinary72IMPACT SIGNAL

A robust, high-content NAM for repeatable and predictive developmental and reproductive toxicity assessment in C. elegans

Abstract Developmental and reproductive toxicity (DART) assessment is essential for product safety evaluation but relies heavily on vertebrate models that are costly, time consuming, and resource intensive. Although Caenorhabditis elegans has emerged as a promising new approach methodology (NAM) for rapid, cost-effective, whole-organism toxicology, broader adoption has been limited by the lack of high-resolution, rapid imaging approaches, limited endpoints, and insufficient evidence supporting assay robustness. To overcome these limitations, we developed vivoDART, a multiparametric imaging-based DART assay designed to be accurate, efficient, robust, and sensitive. Building on our machine learning-accelerated developmental toxicity platform, vivoDART uses microfluidic-assisted, high-resolution brightfield imaging to quantify six developmental and reproductive endpoints for comprehensive DART analysis. Developmental endpoints are derived from automated body-dimension analysis, whereas reproductive endpoints are obtained by quantifying total in utero embryo number and classifying embryos as early- or late-stage relative to the twofold stage. The assay directly assesses sublethal DART phenotypes while minimizing reliance on non-specific apical endpoints such as lethality. vivoDART demonstrated high repeatability, with mean coefficients of variation of 1–5% for developmental endpoints and 6–17% for reproductive endpoints, supporting high statistical power. Assay validation performed using DMSO, methylmercury, and propiconazole involved phenotyping ~ 400,000 embryos across ~ 9,200 worms. Densely sampled concentration–response curves enabled EC x prediction with narrow confidence intervals and captured subtle to strong effects across a broad dynamic range of 1.0–237 µM…

Thai researchers
environmental-engineering72IMPACT SIGNAL

Metagenomic analysis of fecal and environmental microbiota in rural mixed livestock farming systems in South Africa

In South African rural areas, farmers often practice mixed extensive livestock farming, facilitating microbial exchange among and between animal species and their environment. The composition and transmission potential of microbiomes between animals and their environments in these smallholder livestock systems remain largely unexplored, creating a gap in understanding how mixed-livestock farming affects gut and environmental microbiomes. Shotgun metagenomics was used to uncover the fecal and environmental microbiota in smallholder mixed livestock systems, aiming to understand microbiome transfer within these systems. A total of 111 samples were collected in KwaZulu-Natal and Eastern Cape provinces of South Africa, including 76 fecal samples from cattle, goats, sheep, pigs, and chickens; 18 soil samples; and 17 water samples. Taxonomic analysis of the sequencing data identified Proteobacteria as the dominant phylum across most hosts, except that pigs were dominated by Firmicutes. Moraxellaceae and Pseudomonadaceae were the differentiating families between monogastrics and ruminants. Although microbial diversity differences were significantly attributed to the host, genera such as Acinetobacter , Chryseobacterium , Flavobacterium , Pedobacter , and Pseudomonas were consistently found across all animal and environmental hosts. Cattle shared more genera with the environment than other animal species. Opportunistic pathogens, including Enterococcus spp., Escherichia coli , and Clostridium spp., were found across all the livestock species, and were highest in chickens. Additionally, some pathogens were detected in water but none in soil, suggesting water as a potential medium for pathogen transmission. The microbial exchange between livestock and their surroundings…

Thai researchers
clinical-medicine72IMPACT SIGNAL

Abstract P32: Integrative Transcriptomic and Deep Learning Model Identifies Anti-Cancer Peptides Targeting KIF2C in Breast Cancer

Abstract Breast cancer is the most diagnosed cancer and a leading cause of cancer-related death among women worldwide. Drug resistance is a major challenge, contributing to treatment failure and disease progression. Anti-cancer peptides (ACPs), small protein fragments, offer a promising alternative due to their selectivity, low toxicity, and potential for targeted therapy. In this study, we applied integrative bioinformatics and deep learning–based peptide screening to identify novel therapeutic targets and ACPs for breast cancer. Analysis of The Cancer Genome Atlas (TCGA) breast cancer dataset revealed 1,417 differentially expressed genes enriched in neuroactive ligand–receptor interaction and cytokine–cytokine receptor pathways. Notably, KIF2C emerged as a key upregulated hub gene associated with poor prognosis, suggesting its potential as a therapeutic target. Peptides were generated based on the amino acid composition of known ACPs and screened using machine learning and deep learning models. Top candidates were then evaluated for toxicity, allergenicity, and cell-penetrating ability, identifying peptides with a high probability of ACP activity and low toxicity. Among the nine top candidates, csACP-285 showed the strongest binding to the KIF2C motor domain via molecular docking, supported by favorable binding free energy (ΔG) and stable hydrogen bonding. These findings highlight KIF2C as a viable therapeutic target and csACP-285 as a promising ACP candidate for targeted, low-toxicity breast cancer therapy. Citation Format: Kansate Prasertsuk, Pawornphat Pianwanwanich, Suphong Plangsothorn. Integrative Transcriptomic and Deep Learning Model Identifies Anti-Cancer Peptides Targeting KIF2C in Breast Cancer [abstract]. In: Proceedings of Frontiers in Cancer Science…

Thai researchers
multidisciplinary72IMPACT SIGNAL

Influence of Nickel on Microstructure and Property in Die-Cast Ductile Iron

This study examines the influence of nickel (Ni) additions on the microstructure and hardness of Ductile Iron (DI) produced in permanent molds, where higher cooling rates significantly affect solidification behavior. Ductile iron melts were prepared in a 100-kg induction furnace with varying Ni levels (0.06–12.30 wt.%), and Y-block castings were produced in accordance with ASTM A536. Optical microscopy and image analysis were employed to evaluate graphite morphology and matrix phases, while color etching was used to differentiate bainite and martensite. Results show that increasing Ni reduced the nodule count but promoted the formation of primary graphite due to hypereutectic solidification. The matrix evolved sequentially from ferrite to pearlite, and then to bainite and martensite with higher Ni content. At Ni levels above 9–12 wt.%, retained austenite was observed. Hardness increased with Ni additions up to ~10 wt.% but decreased slightly at higher contents due to the presence of retained austenite. These findings demonstrate that controlled Ni additions can produce ductile iron with comparable hardness to the Austempered Ductile Iron (ADI) without heat treatment.

Thai researchers
Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forumRead analysis →
clinical-medicine72IMPACT SIGNAL

Treatment patterns and outcomes in patients with multiple myeloma in second relapse in Colombia (freedomm): a multicenter observational study

Introduction Treatment selection for patients with relapsed Multiple Myeloma (MM) is highly individualized and characterized by diverse treatment patterns. While substantial evidence exists regarding relapsed MM in high-income settings, data on treatment patterns and clinical outcomes at second relapse in Latin American populations remain limited. This study describes the clinical characteristics, treatment patterns, effectiveness, and safety of third-line therapy in patients with MM experiencing a second relapse in routine clinical practice across five Colombian institutions. Methods This multicenter retrospective observational study included medical records from five specialized institutions in Colombia. Patients with MM who experienced a second relapse and initiated third-line therapy between 2013 and 2022 were included. Baseline characteristics, treatment patterns, and the effectiveness and safety of third-line therapy were analyzed descriptively. Results The study included 84 participants with multiple myeloma who experienced a documented second relapse. The median age at diagnosis was 63.5 years (IQR 57.0 - 70.0), 56% were male, and bone disease and anaemia were the most frequent presenting features. The median time from diagnosis to second relapse was 3.2 years (IQR 1.8 - 4.9). First-line therapy was mainly bortezomib-based, most frequently the combination of bortezomib, cyclophosphamide, and dexamethasone (36.9%). Second-line treatment shifted toward lenalidomide-based regimens, with lenalidomide plus dexamethasone administered to 29.8% of patients. Autologous stem cell transplantation was performed in 36.9% of patients. Third-line treatment patterns were diverse, with greater use of novel agent–based combinations, including regimens containing daratumumab and…

Thai researchers
BIBLIOGRAPHIC RESEARCH WATCHLIST

Bibliographic research records

Thailand-affiliated bibliographic records. These are not full analyses; they are ordered by Impact Signal and should be verified against the original source.

1,808records
1,808 records
81IMPACT SIGNAL
Multidisciplinary

Constructing collective identity through Theravāda Buddhism: religious memory, monastic authority, and sacred infrastructure among the Bulang community in Southwest China

Frontiers in Sociology

Thailand-affiliated authors
Yan Wenen · Yaoping Liu
Institutions
Rajamangala University of Technology Krungthep
81IMPACT SIGNAL
Multidisciplinary

Traditional Local Dress and the Promotion of “Malayness” in the Southern Border Provinces of Thailand

วารสารศิลปศาสตร์ มหาวิทยาลัยธรรมศาสตร์

Thailand-affiliated authors
Munirah Yamirudeng · Abdonloh Khreeda-oh
Institutions
Prince of Songkla University
81IMPACT SIGNAL
Environmental Engineering

The CMIP6-downscaled CORDEX-Southeast Asia (SEA) ensemble: evaluation and benchmarking for megacities of SEA

Geoscientific model development

Thailand-affiliated authors
Jerasorn Santisirisomboon
Institutions
Ramkhamhaeng University
81IMPACT SIGNAL
Multidisciplinary

Factors Affecting the Emotional Intelligence of Children in Early Childhood in Thailand

Suranaree Journal of Social Science

Thailand-affiliated authors
Kullachat Pantuworakul · Mesa Nuansri
Institutions
Valaya Alongkorn Rajabhat University
81IMPACT SIGNAL
Multidisciplinary

Technology-enhanced Simulation for Developing Nursing Competencies and Digital Intelligence

The Electronic Journal of e-Learning

Thailand-affiliated authors
Prakob Koraneekij · Sresuda Wongwiseskul
Institutions
Chulalongkorn University · Suan Dusit University
81IMPACT SIGNAL
Multidisciplinary

Multi-Party Governance of Older Adult Care and Implications for Gerontological Social Work in Central China

Journal of Population and Social Studies

Thailand-affiliated authors
Peng Li · Chokchai Suttawet
Institutions
Huachiew Chalermprakiet University
81IMPACT SIGNAL
Multidisciplinary

Association between short-form video media use and inattentive, hyperactive-impulsive, and oppositional defiant symptoms in Thai preschool children

BMC Public Health

Thailand-affiliated authors
Krittisak Anuroj · Vasini Aroonkamonsri
Institutions
Srinakharinwirot University · ChiangRai Prachanukroh Hospital
81IMPACT SIGNAL
Multidisciplinary

Exploring External Influences on Women’s Entrepreneurial Intention: Evidence from Women-Owned Restaurant Small and Medium-sized Enterprises in Northeastern Thailand

Suranaree Journal of Social Science

Thailand-affiliated authors
Chanikan Suparsuk · Wannapa Naburana
Institutions
Suranaree University of Technology
81IMPACT SIGNAL
Multidisciplinary

Environmental Learning Pathways to Pro-Environmental Intentions and Reported Behaviors Among Indigenous Youth in Thailand: A Mixed-Methods Study

Sustainability

Thailand-affiliated authors
Sukanya Sereenonchai · Noppol Arunrat
Institutions
Mahidol University
81IMPACT SIGNAL
Multidisciplinary

Sustainable Learning Through Outcome-Based Online Education

Ubiquitous Learning An International Journal

Thailand-affiliated authors
Xichang Huang · Yuan‐Cheng Chang
Institutions
Dhurakij Pundit University
81IMPACT SIGNAL
Multidisciplinary

ARTIFICIAL INTELLIGENCE (AI) TOOL USE VERSUS EXPERT-LED INSTRUCTION IN PRECLINICAL MEDICAL EDUCATION: A CROSSSECTIONAL SURVEY OF STUDENT EXPERIENCE, PERCEPTIONS, AND ACADEMIC PERFORMANCE

Journal of Southeast Asian Medical Research

Thailand-affiliated authors
Pitchaporn Cheevaidsarakul · Nawachai Lertvivatpong
Institutions
Phramongkutklao Hospital
81IMPACT SIGNAL
Multidisciplinary

Trust, Acceptance, and Service Outcomes of AI-Augmented Academic Library Research Support Services in Thailand

Publications

Thailand-affiliated authors
Kittiya Suthiprapa · Kulthida Tuamsuk
Institutions
Khon Kaen University
81IMPACT SIGNAL
Multidisciplinary

The Quality of Public Maritime Transportation Services

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS

Thailand-affiliated authors
Natha Sawetnarakul · Rungroj Subanjui
Institutions
King Mongkut's University of Technology North Bangkok
81IMPACT SIGNAL
Multidisciplinary

A hybrid machine learning framework combining deep forecasting models and unsupervised analysis for cultivated banana price prediction

Discover Artificial Intelligence

Thailand-affiliated authors
Chayutpong Manakul · Jessada Sresakoolchai
Institutions
Prince of Songkla University
81IMPACT SIGNAL
Multidisciplinary

ESG Disclosure, Return, and Risk of REITs: Evidence from Thailand and Singapore Under Changing Interest Rate Conditions

Journal of risk and financial management

Thailand-affiliated authors
Chaiyathad Phutthadet · Ausawatap Akartwipart
Institutions
University of Phayao
81IMPACT SIGNAL
Multidisciplinary

Higher graduate diploma programs: Institutional responses to teacher qualification reform in Thailand

Asian Journal of Education and Training

Thailand-affiliated authors
Srisuda Patjan · Anusorn Nampradit
Institutions
Thaksin University · Rajamangala University of Technology Isan
81IMPACT SIGNAL
Multidisciplinary

Urban–Regional Disparities in Economic Prosperity and Distributional Outcomes: A TOPSIS-Based Provincial Ranking of Thailand

Urban Science

Thailand-affiliated authors
Patcha Siwapornpitak · Napat Harnpornchai
Institutions
Chiang Mai University
81IMPACT SIGNAL
Multidisciplinary

Policy Impacts of Community Liquor Liberalization: A Case Study of Residents and Entrepreneurs in Ranot District, Songkhla Province

Asia Social Issues

Thailand-affiliated authors
Phennapha Chandaeng · Sadanon Wattatham
Institutions
Songkhla Rajabhat University
81IMPACT SIGNAL
Multidisciplinary

The Lily Festival in Bangkok: The interplay of Yuri/Girls Love, book culture, and sapphic literary communities

Humanities, Arts and Social Sciences Studies

Thailand-affiliated authors
Pannaphat Phumithammarat · Natthanai Prasannam
Institutions
Kasetsart University
81IMPACT SIGNAL
Multidisciplinary

Non-Interest Income Diversification and Bank Performance: Scale Advantages and Institutional Boundary Conditions in Selected Emerging Asian Economies

Journal of risk and financial management

Thailand-affiliated authors
Qian Fang · Nuttawut Rojniruttikul
Institutions
King Mongkut's Institute of Technology Ladkrabang
81IMPACT SIGNAL
Multidisciplinary

Reusing EV Batteries is Not Automatically Circular: A Perspective on Conditional Reuse, Battery Intelligence, and Responsible End-of-life Management

Circular Economy

Thailand-affiliated authors
Zeshan Alam · Shabbir H. Gheewala
Institutions
Joint Graduate School of Energy and Environment · King Mongkut's University of Technology Thonburi
81IMPACT SIGNAL
Multidisciplinary

Baseline Estimation and System Performance Assessment of Municipal Solid Waste in Tourism Areas: A Case Study of Phuket, Thailand

Urban Science

Thailand-affiliated authors
Pawita Boonrat · Voravika Wattanasoontorn
Institutions
Prince of Songkla University
81IMPACT SIGNAL
Multidisciplinary

Key factors of Sustainable development on strengthening empowerment of environmental volunteer networks.

F1000Research

Thailand-affiliated authors
Supit Boonlab · Sanitdech Jintana
Institutions
Rajamangala University of Technology
EDITORIAL STANDARD

How we select research

We use OpenAlex, Crossref, PubMed, DOI records, and publisher pages, then verify Thai researcher participation before publication.

  1. 01Discover new researchFocus on the latest 90 days and verifiable Thai affiliations
  2. 02Assess signalsReview recency, quality, collaboration, and societal relevance
  3. 03Read with careReport findings with limitations and avoid claims beyond the evidence
  4. 04Open original sourcesEvery item includes a DOI, review date, and verification link