The use of Artificial Intelligence (AI) in the hiring process: Job applicants’ perceptions of procedural justice by Md Sajjad Hosain, Mohammad Bin Amin, Gouranga Chandra Debnath, Md Atikur Rahaman

“…We used SPSS 26 for descriptive statistics and partial least squares structural equation modeling (PLS-SEM) through SmartPLS 4.0. …”
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Student experiences and perspectives on decolonising global health education: a qualitative study across five Nordic countries by Jennifer J. Infanti, Jessica Omija Korpela, Chloe Maria Stephenson, Astrid Blystad, Jane Brandt Sørensen, Jónína Einarsdóttir, Mekdes Kebede Gebremariam, Geir Gunnlaugsson, Tobias Herder, Meri Koivusalo, Jesper Löve, Karima Lundin, Mikko Perkiö, Soorej Jose Puthoopparambil, Klas-Göran Sahlen, Marte Emilie Sandvik Haaland, Jon Petter Stoor, Salla Atkins

“…Fourteen focus group discussions were conducted, and the data were analysed using qualitative content analysis principles. …”
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Combinations of multimodal neuroimaging biomarkers and cognitive test scores to identify patients with cognitive impairment by Yuriko Nakaoku, Soshiro Ogata, Kiyotaka Nemoto, Chikage Kakuta, Eri Kiyoshige, Kanako Teramoto, Kiyomasa Nakatsuka, Gantsetseg Ganbaatar, Masafumi Ihara, Kunihiro Nishimura

“…The addition of neuroimaging biomarkers and cognitive test scores significantly improved the performance of the model identifying MCI (p = 0.012 by DeLong’s test). The structural, perfusion, and diffusion MRI-derived biomarkers remained in the identification model with variable selection with the elastic net algorithm, and were thus considered important variables.ConclusionOur multisource elastic net model demonstrated high performance at detecting MCI, suggesting that the combination of multimodal neuroimaging biomarkers contributes to MCI discrimination.…”
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Towards the Albino Mutant Gene in <i>Malus × Domestica</i> Borkh. by Guodong Zhao, Yang Li, Linguang Jia, Dongmei Chen, Chaohong Zhang, Xinsheng Zhang, Fengqiu Yang, Tongsheng Zhao

“…Comparisons of the sequences for the albino mutants revealed 4,817,412 single-nucleotide polymorphisms (SNPs), 721,688 insertion/deletion markers (InDels), and 43,072 structural variations (SVs). The genes with non-synonymous SNPs, InDels, and SVs in CDS were compared with KEGG, GO, COG, NR, and SwissProt databases, and a total of 5700 variant genes were identified. …”
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Echocardiographic features of amyloid cardiomyopathy phenotypes in patients with different types of amyloidosis by Olga Ya. Сhaikovskaya, Marina A. Saidova, Svetlana V. Dobrovolskaya, Anastasia A. Shoshina, Svetlana N. Nasonova, Igor V. Zhirov, Sergey N. Tereshchenko

“…Among patients with ACM, the following phenotypes were reported: hypertrophic phenotype (HP), a combination of hypertrophic and restrictive phenotypes (HP+RP), a combination of hypertrophic, restrictive phenotypes and ejection fraction (EF) less than 50% (HP+RP+EF50%), and patients with minimal structural changes. In patients with HP+RP+EF50%, significantly greater thickness of the LV posterior wall (p=0.025) and the relative wall thickness (p=0.010) were found; the LV global longitudinal strain was lower (p=0.001). …”
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Applicability of Adults 2015 American Thyroid Association Differentiated Thyroid Cancer Guidelines for Postoperative Risk Stratification and Postradioiodine Treatment Dynamic Risk... by Shashank Shekhar Singh, Bhagwant Rai Mittal, Ashwani Sood, Anish Bhattacharya, Ganesh Kumar, Amit Singh Shekhawat, Harpreet Singh

“…Forty-seven patients were classified as responders (excellent and indeterminate responses) and incomplete responders (biochemical and structurally incomplete responses) by assessing the RTT at 1.5 years follow-up similar to recommendation of 2015 adult DTC ATA guidelines. …”
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Macular inner retinal layers in multiple sclerosis by Ori Zahavi, Maria Nilsson, Ali Manouchehrinia, Rune Brautaset, Ingrid Kockum, Ingrid Kockum, Abinaya P. Venkataraman, Alberto Dominguez-Vicent

“…AimTo evaluate the structural changes of individual inner retinal layers in the macular area and identify the most affected layer in subgroups of multiple sclerosis (MS) patients compared to healthy controls (HC).MethodsIn total, Optical coherence tomography (OCT) data from 507 MS patients and 183 HC were exported retrospectively. …”
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Ocular Toxicity Associated with Tamoxifen Administration in Patients with Breast Cancer: A Systematic Review by Tejaswi Vadde, Neha Narayan, Amulya Varshini Banka, Shravani Divity, Yethindra Vityala

“…The analysis revealed that TAM-induced ocular toxicity results in diverse structural and functional changes within eye tissues, including retinal degeneration, macular thinning, alterations in choroidal thickness, and vascular modifications. …”
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AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice by Marco Reisert, Fabian Bamberg, Maximilian Frederik Russe, Philipp Rebmann, Phuong Hien Tran, Elias Kellner, Elmar Kotter, Suam Kim

“…Despite their underlying structural differences, selection of one’s fracture analysis AI tool in the frame of this study reduces to the desired flavour of automation: automated classification, AI-assisted manual fracture reading or minimised false negatives.…”
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New Mitogenomes from the Genus <i>Ablabesmyia</i> (Diptera: Chironomidae, Tanypodiinae): Characterization and Phylogenetic Implications by Wen-Bin Liu, Wen-Xuan Pei, Ya-Ning Tang, Jia-Xin Nie, Wei Cao, Cheng-Yan Wang, Chun-Cai Yan

“…The evolutionary rates of these PCGs can be ordered as follows: <i>ND2</i> > <i>ATP8</i> > <i>ND6</i> > <i>ND4</i> > <i>ND5</i> > <i>ND3</i> > <i>ND4L</i> > <i>ND1</i> > <i>CYTB</i> > <i>COIII</i> > <i>ATP6</i> > <i>COII</i> > <i>COI</i>. (4) Conclusions: These newly sequenced mitogenomes exhibit structural features and nucleotide compositions that closely align with those of previously reported Chironomidae species, marking a significant expansion of the chironomid mitogenome database.…”
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Digital Literacy on SME Business Performance and The Mediating Role of Entrepreneurial Skills by Intan Novela Q.A, Hunik Sri Runing Sawitri, Asri Laksmi Riani, Suryandari Istiqomah, Anastasia Riani Suprapti, Mugi Harsono

“…Structural Equation Modeling with Partial Least Squares (SEM-PLS) was used to test the hypotheses. …”
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Selection of Trajectories to Improve Thermal Fields During the Electric Arc Welding Process Using Hybrid Model CFD-FNN by Sixtos A. Arreola-Villa, Alma Rosa Méndez-Gordillo, Alejandro Pérez-Alvarado, Rumualdo Servín-Castañeda, Ismael Calderón-Ramos, Héctor Javier Vergara-Hernández

“…Effective thermal management is essential in welding processes to maintain structural integrity and material quality, especially in high-precision industrial applications. …”
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The role of green blue ocean strategy in enhancing frugal innovation through IoT and AI: A resource-based view perspective by Diana Aqmala, Roymon Panjaitan, Elia Ardyan, Febrianur Ibnu Fitroh Sukono Putra

“…METHODOLOGY: A quantitative approach was used, with Structural Equation Modelling (SEM) analyzed via AMOS. …”
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Psychological Well-Being Mediates Cyberbullying Victimization and Risky Health Behavior: Public Health Implications for Universities by Purwo Setiyo Nugroho, Bhubate Samutachak, Tawanchai Jirapramukpitak, Fatimah Ahmad Fauzi, Ghozali Ghozali, Aphichat Chamratrithirong

“…This study used the Structural Equation Model to analysed the associations between variables. …”
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The effect of explorative and exploitative skills on innovation process during the merger of public research organizations by Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman, Nosica Rizkalla

“…This study used 314 questionnaires, which were responded to by scientists of basic and technological research in Indonesia’s merged PRO, namely the National Research and Innovation Agency (BRIN). Data were collected from 2023 to 2024 and analyzed using structural equation modeling (SEM) with Smart-PLS 4.0. …”
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LEVEL OF CHROMOSOMAL ABERRATIONS, ACTIVE RIBOSOMAL GENES DOSE AND POLYMORPHISM OF DNA REPAIR GENES IN MINERS OF THE KEMEROVO REGION by Анна Александровна Тимофеева, Варвара Ивановна Минина, Ольга Александровна Соболева, Анастасия Владимировна Рыжкова, Яна Александровна Савченко, Марина Леонидовна Баканова, Татьяна Александровна Головина, Андрей Николаевич Глушков

“…Working at coal cycle enterprises is associated with an increase in the frequency of occurrence of structural chromosome disorders. The association of the polymorphism of the DNA repair genes XRCC2 (rs3218536) and XRCC3 (rs 861539) and the dose of AcRG with an increased risk of chromosomal instability is established.…”
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Mamba-YOLO-ML: A State-Space Model-Based Approach for Mulberry Leaf Disease Detection by Chang Yuan, Shicheng Li, Ke Wang, Qinghua Liu, Wentao Li, Weiguo Zhao, Guangyou Guo, Lai Wei

“…Mulberry (<i data-eusoft-scrollable-element="1">Morus</i> spp.), as an economically significant crop in sericulture and medicinal applications, faces severe threats to leaf yield and quality from pest and disease infestations. …”
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Spiritual Leadership Enhances Caring Behaviour: The Mediating Role of Calling by Sang Ayu Ketut Candrawati, Ni Kadek Ayu Sriani, Putu Gede Subhaktiyasa, Ni Komang Sukra Andini, Ni Luh Nova Dilisca Dwi Putri, Ni Ketut Citrawati, Megah Andriany

“…The analysis adopted partial least squares structural equation modelling (PLS-SEM) using a second-order reflective-formative model. …”
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Interaction of doxorubicin with carbon nanotubes in the capillaries surrounding cancer tumors using molecular dynamics simulation: The impact of pH on the thermal properties by Ahmed Mohammed Attyah Zheoat, Abeer Issa Mohammed Al Luaibi, Raad Kareem Alwan Al Darraji, Narinderjit Singh Sawaran Singh, Soheil Salahshour, S. Mohammad Sajadi, M. Hekmatifar

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Nocebo effects and health perception during infectious threats: A pandemic lesson by Katia Mattarozzi, Arianna Bagnis, Fabio Capucci, Valeria Cremonini, Alessandra De Palma, Roberta Mazzoni, Paolo Pandolfi, Paolo M. Russo

“…To achieve this, 967 citizens with suspected COVID-19 symptoms who sought testing were surveyed online. Data from 523 individuals (283F), testing negative for COVID-19, were entered into a structural equation model. …”
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