Kyungnam University

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Kyungnam University
Short name
KU
Country, city
Republic of Korea, Changwon
Publications
2 003
Citations
35 556
h-index
78
Top-3 journals
Top-3 organizations
Pusan National University
Pusan National University (79 publications)
Gyeongsang National University
Gyeongsang National University (72 publications)
Korea University
Korea University (62 publications)
Top-3 foreign organizations

Most cited in 5 years

Yao M., Tijing L.D., Naidu G., Kim S., Matsuyama H., Fane A.G., Shon H.K.
Desalination scimago Q1 wos Q1
2020-04-01 citations by CoLab: 218 Abstract  
Membrane distillation (MD) is an alternative membrane technology that offers the capacity to treat highly saline water including industrial wastewater, seawater, brine water from other processes, and oil-gas field produced water. However, conventional hydrophobic membranes suffer fast wetting and severe fouling especially when low surface tension chemicals exist in saline water, which compromises the performance of MD. Recent advances in material science and nanomaterials research have led to the incorporation of special wetting properties on membrane surfaces. Membranes with special wettability can achieve high resistance against membrane fouling and wetting, as well as overcome the trade-off between membrane permeability and selectivity. This review summarizes the progress and recent development of studies on MD membranes with special wettability. Firstly, the fundamental concepts pertaining to membrane surface wettability including insights of their benefits and potential issues are highlighted in this review. Secondly, fabrication methods and applications of membranes utilizing various special wettability are discussed in detail, along with their challenges. Finally, this review concludes the advantages of membranes with special wettability and demonstrates potential solutions to the above-mentioned challenges for future research in high saline wastewater treatment.
Rhee T.G., Shim S.R., Forester B.P., Nierenberg A.A., McIntyre R.S., Papakostas G.I., Krystal J.H., Sanacora G., Wilkinson S.T.
JAMA Psychiatry scimago Q1 wos Q1
2022-12-01 citations by CoLab: 79 Abstract  
ImportanceWhether ketamine is as effective as electroconvulsive therapy (ECT) among patients with major depressive episode remains unknown.ObjectiveTo systematically review and meta-analyze data about clinical efficacy and safety for ketamine and ECT in patients with major depressive episode.Data SourcesPubMed, MEDLINE, Cochrane Library, and Embase were systematically searched using Medical Subject Headings (MeSH) terms and text keywords from database inception through April 19, 2022, with no language limits. Two authors also manually and independently searched all relevant studies in US and European clinical trial registries and Google Scholar.Study SelectionIncluded were studies that involved (1) a diagnosis of depression using standardized diagnostic criteria, (2) intervention/comparator groups consisting of ECT and ketamine, and (3) depressive symptoms as an efficacy outcome using standardized measures.Data Extraction and SynthesisData extraction was completed independently by 2 extractors and cross-checked for errors. Hedges g standardized mean differences (SMDs) were used for improvement in depressive symptoms. SMDs with corresponding 95% CIs were estimated using fixed- or random-effects models. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline was followed.Main Outcomes and MeasuresEfficacy outcomes included depression severity, cognition, and memory performance. Safety outcomes included serious adverse events (eg, suicide attempts and deaths) and other adverse events.ResultsSix clinical trials comprising 340 patients (n = 162 for ECT and n = 178 for ketamine) were included in the review. Six of 6 studies enrolled patients who were eligible to receive ECT, 6 studies were conducted in inpatient settings, and 5 studies were randomized clinical trials. The overall pooled SMD for depression symptoms for ECT when compared with ketamine was −0.69 (95% CI, −0.89 to −0.48; Cochran Q, P = .15; I2 = 39%), suggesting an efficacy advantage for ECT compared with ketamine for depression severity. Significant differences were not observed between groups for studies that assessed cognition/memory or serious adverse events. Both ketamine and ECT had unique adverse effect profiles (ie, ketamine: lower risks for headache and muscle pain; ECT: lower risks for blurred vision, vertigo, diplopia/nystagmus, and transient dissociative/depersonalization symptoms). Limitations included low to moderate methodological quality and underpowered study designs.Conclusions and RelevanceFindings from this systematic review and meta-analysis suggest that ECT may be superior to ketamine for improving depression severity in the acute phase, but treatment options should be individualized and patient-centered.
Yanagisawa T., Rajwa P., Thibault C., Gandaglia G., Mori K., Kawada T., Fukuokaya W., Shim S.R., Mostafaei H., Motlagh R.S., Quhal F., Laukhtina E., Pallauf M., Pradere B., Kimura T., et. al.
European Urology scimago Q1 wos Q1
2022-12-01 citations by CoLab: 73 Abstract  
Recent randomized controlled trials (RCTs) examined the role of adding androgen receptor signaling inhibitors (ARSIs), including abiraterone acetate (ABI), apalutamide, darolutamide (DAR), and enzalutamide (ENZ), to docetaxel (DOC) and androgen deprivation therapy (ADT) in patients with metastatic hormone-sensitive prostate cancer (mHSPC). To analyze the oncologic benefit of triplet combination therapies using ARSI + DOC + ADT, and comparing them with available treatment regimens in patients with mHSPC. Three databases and meetings abstracts were queried in April 2022 for RCTs analyzing patients treated with first-line combination systemic therapy for mHSPC. The primary interests of measure were overall survival (OS) and progression-free survival (PFS). Subgroup analyses were conducted to assess the differential outcomes in patients with low- and high-volume disease as well as de novo and metachronous metastasis. Overall, 11 RCTs were included for meta-analyses and network meta-analyses (NMAs). We found that the triplet combinations outperformed DOC + ADT in terms of OS (pooled hazard ratio [HR]: 0.74, 95% confidence interval [CI]: 0.65–0.84) and PFS (pooled HR: 0.49, 95% CI: 0.42–0.58). There was no statistically significant difference between patients with low- and high-volume disease in terms of an OS benefit from adding an ARSI to DOC +ADT (both HR: 0.79; p = 1). Based on NMAs, triplet therapy also outperformed ARSI + ADT in terms of OS (DAR + DOC + ADT: pooled HR: 0.74, 95% CI: 0.55–0.99) and PFS (ABI + DOC + ADT: HR: 0.68, 95% CI: 0.51–0.91, and ENZ + DOC + ADT: HR: 0.70, 95% CI: 0.53–0.93). An analysis of treatment ranking among de novo mHSPC patients showed that triplet therapy had the highest likelihood of improved OS in patients with high-volume disease; however, doublet therapy using ARSI + ADT had the highest likelihood of improved OS in patients with low-volume disease. We found that the triplet combination therapy improves survival endpoints in mHSPC patients compared with currently available doublet treatment regimens. Our findings need to be confirmed in further head-to-head trials with longer follow-up and among various patient populations. Our study suggests that triplet therapy with androgen receptor signaling inhibitor, docetaxel, androgen deprivation therapy prolongs survival in patients with metastatic hormone-sensitive prostate cancer compared with the current standard doublet therapy.
Meng B., Chua B., Ryu H.B., Han H.
Journal of Sustainable Tourism scimago Q1 wos Q1
2020-06-12 citations by CoLab: 72 Abstract  
While volunteer tourism has been gaining in popularity around the world, few studies have looked into the travelers’ re-participation intention within a pro-social context. This study aimed to deve...
Park S., Lee G.
Neuroscience Letters scimago Q3 wos Q3
2020-08-01 citations by CoLab: 67 Abstract  
• Playing a full-immersion VR game had a negative effect on static balance and produced adverse effects including eye fatigue and dizziness. • Postural sway and adverse effects were more pronounced in the participants who played the game with a moving background. • Adverse effects should be considered when full-immersion virtual reality games are used in rehabilitation. The use of virtual reality (VR) is associated with several adverse effects including dizziness, headache, and motion sickness. This study investigates how full-immersion VR games cause changes in static balance with associated adverse effects, and whether a fixed or a changing game background is more likely to contribute to such problems. Static balance and adverse effects (eye fatigue and dizziness) were measured in 15 healthy adults under three conditions: baseline; after a full-immersion virtual reality game (PlayStation 4 Pro and PlayStation® VR headset) with a fixed background (15 min); and after a full-immersion virtual reality game with a unfixed background (15 min). Static balance was measured with an AMTI force plate, while eye fatigue and dizziness were measured with the Virtual Reality Symptom Questionnaire (VRSQ) and the Simulator Sickness Questionnaire (SSQ). It was determined that playing a full-immersion VR game had a negative effect on static balance and produced several adverse effects including eye fatigue and dizziness. Moreover, sway velocity and sway length increased significantly in the game with a moving background compared to both the baseline and the game with a fixed background (p < 0.05); VRSQ and SSQ were also significantly higher in this case. It is thus preferable from the perspective of reducing adverse effects that only fixed-background full-immersion VR games be used in rehabilitative interventions.
Park C., Jung D., Chun E., Ahn S., Jang H., Kim Y.
Applied Surface Science scimago Q1 wos Q1
2020-06-01 citations by CoLab: 46 Abstract  
The effects of laser shock peening without coating (LSPwC) on the degradation of copper electrical contact was investigated. A Nd:YAG laser with laser energy densities of 5.3 and 10.6 GW/cm2 was used for the LSPwC process. Surface hardness was enhanced from 55 HV to 110 and 120 HV for the laser shock-peened copper at 5.3 GW/cm2 and 10.6 GW/cm2, respectively. Moreover, near the copper surface, LSPwC introduced the max. compressive residual stress of 387.5 and 385.5 MPa for laser energy densities of 5.3 and 10.6 GW/cm2, respectively. Electron backscatter diffraction and transmission electron microscopy revealed that LSPwC introduced dislocation rearrangement, deformation twins, and grain refinement. The laser shock-peened copper exhibited superior wear resistance compared with the base metal. During the fretting test, the wear loss of the base metal was 1.61 Ã— 10-3 mm3, and this decreased to 0.99 Ã— 10-3 and 0.94 Ã— 10-3 mm3 for the laser shock-peened copper at 5.3 and 10.6 GW/cm2, respectively. Thus, the laser shock-peened copper maintained a low electrical contact resistance during the fretting test, resulting in electrical contact failure delay from 2790 cycles for the base metal to 5011 and 5210 cycles for laser shock-peened copper at 5.3 and 10.6 GW/cm2, respectively.
Woo Y.C., Yao M., Shim W., Kim Y., Tijing L.D., Jung B., Kim S., Shon H.K.
Journal of Membrane Science scimago Q1 wos Q1
2021-04-01 citations by CoLab: 45 Abstract  
Electrospun nanofiber membranes (ENMs) have gained increasing interest in membrane distillation (MD) applications due to their high surface area, high hydrophobicity and porosity, and controllable pore size and membrane thickness. However, despite these advantages, ENMs still suffer from wetting issues in MD. Co-axial electrospinning is an attractive strategy for the one-step fabrication of non-woven membranes with core-sheath structures and improved wetting resistance for MD application. In the present study, we investigated poly (vinylidene fluoride- co -hexafluoropropylene) (PH) as the core and PH/silica aerogel (SiA) as the sheath to obtain superhydrophobic co-axial composite ENMs. The surface characterization results indicated that the active layer (i.e., PH) of the co-axial ENMs was rough, highly porous (>80%), and superhydrophobic (contact angle >160°). Further, the co-axial ENMs possessed small pore sizes (1.72 bar). Upon the application in long-term (one month) direct contact MD testing using a 3.5 wt% NaCl solution as the feed, high water vapor flux and salt rejection of 14.5 L/m 2 h and 99.99% were achieved, respectively, when applying the optimal 4 wt% SiA solution loading at the sheath. The ENMs fabricated using the versatile co-axial electrospinning showed great potential for long-term applications in direct contact MD desalination. • 3D-hierarchically structured on nanofiber membranes are fabricated by co-axial electrospinning. • Superhydrophobic co-axial nanofiber membranes can prevent wetting issues during MD operation. • Co-axial nanofiber membranes show a stable flux performance due to its low thermal conductivity. • Co-axial nanofiber membranes can apply to MD for one month without any problems. • Co-axial electrospinning exhibits great potential for long-term MD desalination.
Jin W., Lee D., Jeon Y., Park D.
Minerals scimago Q2 wos Q2 Open Access
2020-02-14 citations by CoLab: 36 PDF Abstract  
Biocompatible hydrotalcite nanohybrids, i.e., layered double hydroxide (LDH) based nanohybrids have attracted significant attention for biomedical functions. Benefiting from good biocompatibility, tailored drug incorporation, high drug loading capacity, targeted cellular delivery and natural pH-responsive biodegradability, hydrotalcite nanohybrids have shown great potential in drug/gene delivery, cancer therapy and bio-imaging. This review aims to summarize recent progress of hydrotalcite nanohybrids, including the history of the hydrotalcite-like compounds for application in the medical field, synthesis, functionalization, physicochemical properties, cytotoxicity, cellular uptake mechanism, as well as their related applications in biomedicine. The potential and challenges will also be discussed for further development of LDHs both as drug delivery carriers and diagnostic agents.
Nguyen H.Q., Kim J.J.
Buildings scimago Q1 wos Q2 Open Access
2025-03-05 citations by CoLab: 0 PDF Abstract  
While fiber-reinforced polymer (FRP) sheets effectively enhance the flexural strength of reinforced concrete (RC) slabs, excessive flexural strengthening can reduce ductility and lead to brittle failure. This study provides an overview of the failure limits for the end spans of continuous RC slabs, considering the relationship between moment and shear capacities. A design approach for maximizing the strength contribution and amount of carbon FRP (CFRP) while ensuring ductile failure in strengthened slabs was developed and refined based on ACI standard recommendations. The failure mode of the strengthened slab was validated through numerical analysis using Abaqus software by further investigating the stress distribution of flexural members. Analytical results indicated that a 0.15 mm thick CFRP layer could enhance the nominal failure load by 148% while preserving desirable ductile failure behavior, demonstrating the effectiveness and feasibility of the proposed approach.
Zou C., Jeon W., Ju H., Rhee S.
Electronics (Switzerland) scimago Q2 wos Q2 Open Access
2025-02-28 citations by CoLab: 0 PDF Abstract  
Medical image segmentation is a challenging task due to limited annotated data, complex lesion boundaries, and the inherent variability in medical images. These challenges make accurate and robust segmentation crucial for clinical applications. In this study, we propose the Uncertainty-Driven Auxiliary Mean Teacher (UDAMT) model, a novel semi-supervised framework specifically designed for skin lesion segmentation. Our approach employs a dual-headed teacher–student architecture with an uncertainty-guided mechanism, enhancing feature learning and boundary precision. Extensive experiments on the ISIC 2016, ISIC 2017, and ISIC 2018 datasets demonstrate that UDAMT achieves significant improvements over state-of-the-art methods, with increases of 1.17 percentage points in the Dice coefficient and 1.31 percentage points in mean Intersection over Union (mIoU) under low-label settings (5% labeled data). Furthermore, UDAMT requires 12.9 M parameters, which is slightly higher than the baseline model (12.5 M) but significantly lower than MT (14.8 M) and UAMT (15.2 M). It also achieves an inference time of 25.7 ms per image, ensuring computational efficiency. Ablation studies validate the contributions of each component, and cross-dataset evaluations on the PH2 benchmark confirm robustness to small lesions. This work provides a scalable and efficient solution for semi-supervised medical image segmentation, balancing accuracy, efficiency, and clinical applicability.
Hwang M., Jung E., Park D.
Quantum Information Processing scimago Q2 wos Q3
2025-02-15 citations by CoLab: 0 Abstract  
The generalized version of the Arthurs–Kelly inequality is derived when the initial state is a tripartite separable state. When each initial substate obeys the minimal uncertainty, the generalized version reduces to the well-known inequality, i.e., twice of the Heisenberg uncertainty. If the initial probe state is entangled, it is shown that the generalized version of the Arthurs–Kelly inequality can be violated. We show the violation explicitly by introducing a special example.
Yang G., Ji J., Kim E.
Applied Sciences (Switzerland) scimago Q2 wos Q2 Open Access
2025-02-04 citations by CoLab: 0 PDF Abstract  
Objective: The complexity of software systems, with their multifaceted functionalities and intricate source code structures, poses significant challenges for developers in identifying and resolving bugs. This study aims to address these challenges by proposing an efficient bug localization method that improves the accuracy and effectiveness of identifying faulty code based on bug reports. Method: We introduce a novel bug localization approach that integrates a Long Short-Term Memory (LSTM) attention mechanism with top-K code similarity learning. The proposed method preprocesses bug reports and source code files, calculates top-K code similarities using the BM25 algorithm, and trains an LSTM-Attention model to predict the most relevant buggy source code files. Results: The model was evaluated on six open-source projects (Tomcat, AspectJ, Birt, Eclipse, JDT, SWT) and demonstrated significant improvements over the baseline method, DNNLoc. Notably, the proposed approach improved accuracy across all projects, with average gains of 18% in prediction accuracy compared to the baseline. Conclusion: This study highlights the efficacy of combining similarity learning with attention mechanisms for bug localization. By streamlining debugging workflows and enhancing predictive accuracy, the proposed method offers a practical solution for improving software quality and reducing development costs.
Yang G., Ji J., Kim T.
Applied Sciences (Switzerland) scimago Q2 wos Q2 Open Access
2025-01-30 citations by CoLab: 0 PDF Abstract  
With the growing reliance on software, the frequency of software bugs has increased significantly. To address these issues, users or developers typically submit bug reports, which developers analyze and resolve. However, many submitted bug reports are duplicates of previously reported issues, creating inefficiencies in the bug resolution process. To enhance developer productivity, an automatic method for detecting duplicate bug reports is essential. In this study, we present a novel approach for identifying duplicate and nonduplicate bug reports using feature learning through correlation analysis. Our method utilizes bug report features, including product and component information, extracted from bug repositories. The process begins with preprocessing the bug reports to ensure data quality. Next, a feature selection algorithm identifies relevant features, which are then used to train a machine learning model based on bidirectional encoder representations from transformers (BERT). The proposed model’s effectiveness was evaluated across multiple datasets: Apache, JDT, Platform, KDE, Core, Firefox, and Thunderbird. Our results show detection accuracies of 91.41%, 88.66%, 86.08%, 92.94%, 90.68%, 88.25%, and 91.62%, respectively. These outcomes represent a significant improvement of 32% to 41% compared to baseline models, including convolutional neural networks (CNNs), long short-term memory networks (LSTMs), convolutional LSTMs (CNN-LSTMs), Naive Bayes classifiers, and random forest classifiers. Our findings show that the proposed model is highly effective for duplicate bug report prediction and offers substantial advancements over existing methods. This approach has the potential to streamline bug management processes and improve overall software development efficiency.
Han S., Park D.
NeuroRehabilitation scimago Q2 wos Q2
2025-01-28 citations by CoLab: 1 Abstract  
Background Stroke patients experienced a decline in balance and gait abilities due to impaired trunk control. Previous studies showed that Reformer exercises were effective in improving trunk control. Objective This study aimed to investigate the effects of Reformer-based trunk stability exercises on trunk control, balance, and gait abilities in patients with chronic stroke. Methods This study utilized a randomized controlled trial design. Participants were randomly assigned to an experimental group (Reformer-based trunk stability exercises, n = 12) or a control group (conventional trunk stability exercises, n = 12). The intervention consisted of 20-min sessions conducted five times a week for four weeks. Trunk control, balance, and gait parameters were evaluated before and after the intervention, and the data were analyzed using a two-way repeated measures ANOVA. Results Statistical analysis demonstrated a significant interaction effect between group and time for most variables, with within-group comparisons showing significant differences before and after the intervention for the majority of variables in both groups. Additionally, effect size analysis indicated large effect sizes (Cohen's d > 0.8) for most variables. Conclusions Reformer-based trunk stability exercises showed positive effects on trunk control, balance, and gait parameters in patients with chronic stroke.
Swami V., Stieger S., Voracek M., Aavik T., Abdollahpour Ranjbar H., Adebayo S.O., Afhami R., Ahmed O., Aimé A., Akel M., Al Halbusi H., Alexias G., Ali K.F., Alp-Dal N., Alsalhani A.B., et. al.
PLoS ONE scimago Q1 wos Q1 Open Access
2025-01-22 citations by CoLab: 0 PDF Abstract  
The Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset–with data collected between 2020 and 2022 –to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions. Multi-group confirmatory factor analysis indicated that configural and metric invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional SWLS model has universal applicability. Full scalar invariance was achieved across gender identities and age groups. Based on alignment optimisation methods, partial scalar invariance was achieved across all but three national groups and across all languages represented in the BINS. There were large differences in latent SWLS means across nations and languages, but negligible-to-small differences across gender identities and age groups. Across nations, greater life satisfaction was significantly associated with greater financial security and being in a committed relationship or married. The results of this study suggest that the SWLS largely assesses a common unidimensional construct of life satisfaction irrespective of respondent characteristics (i.e., national group, gender identities, and age group) or survey presentation (i.e., survey language). This has important implications for the assessment of life satisfaction across nations and provides information that will be useful for practitioners aiming to promote subjective well-being internationally.
Jin C.K.
Metals scimago Q1 wos Q2 Open Access
2025-01-21 citations by CoLab: 0 PDF Abstract  
A large-sized backward-curved fan with high shape difficulty was designed, and fan performance was roughly predicted from computational fluid dynamics. Three gating systems of aluminum sand casting were designed to fabricate the fan. The flow pattern and solidification process of molten metal were analyzed by casting simulation. Three types were applied: bottom-up with four gates, bottom-up with ten gates, and top-down with a feeder. The simulation results of the bottom-up with four gates show that a large temperature loss occurs while molten metal flows into thin blades, and there is a temperature range below the liquidus temperature. Due to nonuniform temperature distribution, the solidification pattern is also not uniform. The bottom-up with ten gates shows almost similar flow and solidification patterns but has the effect of slightly reducing the temperature loss of molten metal. The top-down type has a much smaller temperature loss, while molten metal flows into the mold cavity compared to the bottom-up type and has a directional solidification pattern. As the feeder also acts as a riser to compensate for the shrinkage of the thick part, the simulation results regarding porosities are also significantly reduced. The fan cast as a top-down type has soundness without any unfilled parts.
Yang G., Ji J., Kim J.
Applied Sciences (Switzerland) scimago Q2 wos Q2 Open Access
2025-01-10 citations by CoLab: 0 PDF Abstract  
The rapid expansion of software applications has led to an increase in the frequency of bugs, which are typically reported through user-submitted bug reports. Developers prioritize these reports based on severity and project schedules. However, the manual process of assigning bug priorities is time-consuming and prone to inconsistencies. To address these limitations, this study presents a Priority-Sensitive LSTM–Attention mechanism for automating bug priority prediction. The proposed approach extracts features such as product and component details from bug repositories and preprocesses the data to ensure consistency. Priority-based feature selection is applied to align the input data with the task of bug prioritization. These features are processed through a Long Short-Term Memory (LSTM) network to capture sequential dependencies, and the outputs are further refined using an Attention mechanism to focus on the most relevant information for prediction. The effectiveness of the proposed model was evaluated using datasets from the Eclipse and Mozilla open-source projects. Compared to baseline models such as Naïve Bayes, Random Forest, Decision Tree, SVM, CNN, LSTM, and CNN-LSTM, the proposed model achieved a superior performance. It recorded an accuracy of 93.00% for Eclipse and 84.11% for Mozilla, representing improvements of 31.11% and 40.39%, respectively, over the baseline models. Statistical verification confirmed that these performance gains were significant. This study distinguishes itself by integrating priority-based feature selection with a hybrid LSTM–Attention architecture, which enhances prediction accuracy and robustness compared to existing methods. The results demonstrate the potential of this approach to streamline bug prioritization, improve project management efficiency, and assist developers in resolving high-priority issues.
Mun I.B., Hwang K.
Information Development scimago Q2 wos Q2
2024-12-19 citations by CoLab: 0 Abstract  
Although ChatGPT has gained widespread popularity, research on users’ post-adoption behaviors remains limited. This study examined whether information quality (across five distinct attributes) predicts information usefulness and source trust, which, in turn, influences users’ intention to continue using ChatGPT. Data from ChatGPT users were analyzed using structural equation modeling. The results indicate that the accuracy, richness, timeliness, format, and relevance of the information presented by ChatGPT were significantly associated with both information usefulness and source trust. Moreover, the findings showed that both information usefulness and source trust were positively and significantly associated with the continuance usage intention toward ChatGPT. This study sheds light on the factors that drive user perceptions and behaviors and offers a deeper understanding of the continuance usage within the domain of generative AI like ChatGPT. The implications of these findings and directions for future research are discussed.
Wang D.H., Lee S., Yi T.
Coatings scimago Q2 wos Q2 Open Access
2024-12-17 citations by CoLab: 0 PDF Abstract  
High-energy thermal treatments, such as electron beam irradiation, are crucial for enhancing the performance of tungsten carbide–cobalt (WC-Co) composites in cutting tools and wear-resistant coatings. This study utilizes molecular dynamics simulations to analyze the nanoscale effects of such treatments on WC-Co surfaces, focusing on cobalt evaporation and linear scratching phenomena. The results demonstrate that electron beam irradiation significantly accelerates cobalt evaporation, with rates depending on energy flux and local atomic environments. Embedded cobalt atoms within WC grains exhibit higher resistance to evaporation due to stronger bonding, while pure cobalt surfaces show greater susceptibility to material loss. Under high energy flux, WC-Co surfaces experience an interplay of thermal expansion, density reduction, and evaporation, resulting in accelerated degradation. Linear scratching simulations reveal that thermally treated WC-Co surfaces exhibit increased structural instability, as indicated by broader distributions of local entropy and von Mises stress, reflecting heightened susceptibility to deformation and failure. Stress concentrations from indentation and scratching are more pronounced in thermally treated samples, highlighting the influence of thermal history on mechanical behavior. Molecular dynamics simulations enable detailed insights into atomic-scale phenomena, allowing precise quantification of the effects of energy flux, material composition, and thermal treatment on structural and mechanical responses. These findings emphasize the need to optimize thermal treatment protocols to enhance the durability and performance of WC-Co composites, providing valuable guidance for the development of robust materials for industrial applications.
Żurawski A., Ha S., Świercz G., Adamczyk Gruszka O., Kiebzak W.
Journal of Clinical Medicine scimago Q1 wos Q1 Open Access
2024-12-16 citations by CoLab: 0 PDF Abstract  
Background: Lumbopelvic pain (LBP) is a prevalent condition during pregnancy, affecting a significant proportion of pregnant women. It arises from hormonal, biomechanical, and postural changes, often exacerbating discomfort and impairing quality of life. This study aimed to evaluate the effects of targeted motor control interventions focusing on sternal alignment on spinal alignment, pain, and muscle activity in pregnant women at risk of preterm birth. Methods: This pre–post quasi-experimental study included 32 pregnant women at 28–32 weeks of gestation, who were hospitalized due to the risk of preterm birth. Inclusion criteria required participants to have LBP lasting at least two weeks and the ability to walk and stand for 40 min. The intervention involved targeted motor control exercises designed to optimize sternal and sacral alignment. Spinal alignment, pain intensity, and muscle activity were measured pre- and post-intervention using the DIERS formetric system, numerical rating scale (NRS), and electromyography (EMG), respectively. Data were analyzed using Wilcoxon signed-rank tests. Results: Significant improvements were observed in spinal alignment parameters, including reductions in the sternal angle, sacral angle, cervical and lumbar lordosis depths, thoracic kyphosis angle, and pelvic tilt (p < 0.05). Pain intensity decreased significantly from a mean NRS score of 5.77 ± 1.42 in the relaxed posture to 2.54 ± 0.71 in the corrected posture (p < 0.05). Muscle activity of the rhomboid muscles increased in the corrected posture, correlating with improved thoracic kyphosis, while activity of the serratus anterior muscle showed reductions (p < 0.05). Conclusions: Targeted motor control focusing on sternal alignment effectively improved spinal alignment and reduced pain in pregnant women at risk of preterm birth with LBP. The intervention offers a safe, non-invasive, and practical approach to managing pregnancy-related musculoskeletal challenges. Future research should validate these findings in diverse populations and explore long-term effects and broader clinical applications.
Hwang C., Beak J., Kim S., Kim S.
Crystals scimago Q2 wos Q3 Open Access
2024-12-14 citations by CoLab: 1 PDF Abstract  
Silicon carbide (SiC) has excellent mechanical and chemical properties and is used in a wide range of applications. It has the characteristic of rapidly heating up to several hundred degrees within one minute when irradiated with microwave radiation at 2.45 GHz. In this study, we investigated the oxidation curing process and microwave heating properties of polycarbosilane (PCS). A PCS disk-shaped green body was fabricated via uniaxial pressure molding. Silicon carbide was prepared by varying the pyrolysis temperature, and the heating characteristics of the microwaves were evaluated. The results showed that the samples pyrolyzed at 1300 °C after oxidation curing for 2 h at 180 °C rapidly heated up to 802 °C within 1 min, and the temperature remained constant for 120 min. The maximum temperature of the samples pyrolyzed at 1500 °C was relatively low, but the rate of heating was the highest. The microstructures and crystal structures of the microwaves as a function of the pyrolysis temperature were investigated.

Since 1988

Total publications
2003
Total citations
35556
Citations per publication
17.75
Average publications per year
54.14
Average authors per publication
4.06
h-index
78
Metrics description

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General Materials Science, 187, 9.34%
Electrical and Electronic Engineering, 174, 8.69%
Food Science, 155, 7.74%
Mechanical Engineering, 152, 7.59%
General Medicine, 146, 7.29%
General Chemistry, 143, 7.14%
Applied Mathematics, 115, 5.74%
Condensed Matter Physics, 113, 5.64%
General Chemical Engineering, 98, 4.89%
Biotechnology, 87, 4.34%
Computer Science Applications, 86, 4.29%
Industrial and Manufacturing Engineering, 80, 3.99%
Mechanics of Materials, 77, 3.84%
Biochemistry, 69, 3.44%
Electronic, Optical and Magnetic Materials, 67, 3.34%
Analysis, 67, 3.34%
Water Science and Technology, 64, 3.2%
General Engineering, 63, 3.15%
Civil and Structural Engineering, 59, 2.95%
Analytical Chemistry, 58, 2.9%
Control and Systems Engineering, 58, 2.9%
Applied Microbiology and Biotechnology, 57, 2.85%
Materials Chemistry, 56, 2.8%
Computer Networks and Communications, 49, 2.45%
Atomic and Molecular Physics, and Optics, 48, 2.4%
Nuclear and High Energy Physics, 48, 2.4%
Physical Therapy, Sports Therapy and Rehabilitation, 48, 2.4%
Software, 47, 2.35%
Renewable Energy, Sustainability and the Environment, 46, 2.3%
General Mathematics, 45, 2.25%
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With other organizations

10
20
30
40
50
60
70
80
10
20
30
40
50
60
70
80

With foreign organizations

5
10
15
20
25
5
10
15
20
25

With other countries

20
40
60
80
100
120
140
160
180
200
USA, 198, 9.89%
China, 180, 8.99%
Japan, 130, 6.49%
Australia, 50, 2.5%
Canada, 40, 2%
India, 31, 1.55%
United Kingdom, 26, 1.3%
Vietnam, 24, 1.2%
Singapore, 24, 1.2%
Germany, 22, 1.1%
Pakistan, 17, 0.85%
Armenia, 13, 0.65%
Italy, 11, 0.55%
Malaysia, 11, 0.55%
Thailand, 11, 0.55%
Saudi Arabia, 10, 0.5%
France, 8, 0.4%
Iran, 7, 0.35%
Poland, 7, 0.35%
Egypt, 6, 0.3%
Ireland, 6, 0.3%
Spain, 6, 0.3%
Russia, 5, 0.25%
Greece, 5, 0.25%
Israel, 5, 0.25%
Turkey, 5, 0.25%
Portugal, 3, 0.15%
Belgium, 3, 0.15%
Slovenia, 3, 0.15%
20
40
60
80
100
120
140
160
180
200
  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1988 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.