Estudio psicométrico del cuestionario de intenciones emprendedoras en jóvenes mexicanos - Psychometric study of the entrepreneurial intentions questionnaire in Mexican youth by Ignacio Norambuena, Felipe Quintano, Leonor Riquelme, José Sepúlveda, Cristina Tavera, Selene Pérez, Crisóforo Álvarez, Roque López

“…Conclusions: the findings suggest that the Entrepreneurial Intentions Scale is a valid and reliable tool for measuring entrepreneurial intentions in young individuals. …”
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Short‐term echocardiographic evaluation by global longitudinal strain in patients with heart failure treated with sacubitril/valsartan by Simone Mazzetti, Chiara Scifo, Raffaele Abete, Davide Margonato, Margherita Chioffi, Jessica Rossi, Matteo Pisani, Giovanni Passafaro, Massimiliano Grillo, Daniele Poggio, Andrea Mortara

“…Strain method represents a practical tool to assess early and minimal variations of left ventricular systolic function.…”
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Systematic ocular phenotyping of 8,707 knockout mouse lines identifies genes associated with abnormal corneal phenotypes by Peter Vo, Denise M. Imai-Leonard, Benjamin Yang, Andrew Briere, Andy Shao, M. Isabel Casanova, David Adams, Takanori Amano, Oana Amarie, Zorana Berberovic, Lynette Bower, Robert Braun, Steve Brown, Samantha Burrill, Soo Young Cho, Sharon Clementson-Mobbs, Abigail D’Souza, Mary Dickinson, Mohammad Eskandarian, Ann M. Flenniken, Helmut Fuchs, Valerie Gailus-Durner, Jason Heaney, Yann Hérault, Martin Hrabe de Angelis, Chih-Wei Hsu, Shundan Jin, Russell Joynson, Yeon Kyung Kang, Haerim Kim, Hiroshi Masuya, Hamid Meziane, Steve Murray, Ki-Hoan Nam, Hyuna Noh, Lauryl M. J. Nutter, Marcela Palkova, Jan Prochazka, Miles Joseph Raishbrook, Fabrice Riet, Jennifer Ryan, Jason Salazar, Zachery Seavey, John Richard Seavitt, Radislav Sedlacek, Mohammed Selloum, Kyoung Yul Seo, Je Kyung Seong, Hae-Sol Shin, Toshihiko Shiroishi, Michelle Stewart, Karen Svenson, Masaru Tamura, Heather Tolentino, Uchechukwu Udensi, Sara Wells, Jacqueline White, Amelia Willett, Janine Wotton, Wolfgang Wurst, Atsushi Yoshiki, The International Mouse Phenotyping Consortium, Louise Lanoue, K. C. Kent Lloyd, Brian C. Leonard, Michel J. Roux, Colin McKerlie, Ala Moshiri

“…Phenotypes of human orthologues of mouse candidate genes were compared with known human CD genes to identify protein-protein interactions and molecular pathways using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), Protein Analysis Through Evolutionary Relationships (PANTHER), and Kyoto Encyclopedia of Genes and Genomes. …”
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Negative valuation of ambiguous feedback may predict near-term risk for suicide attempt in Veterans at high risk for suicide by Catherine E. Myers, Catherine E. Myers, Rokas Perskaudas, Rokas Perskaudas, Vibha Reddy, Chintan V. Dave, Chintan V. Dave, John G. Keilp, Arlene King, Kailyn Rodriguez, Kailyn Rodriguez, Lauren St. Hill, Rachael Miller, Alejandro Interian, Alejandro Interian

“…Differences in the reinforcement value of the neutral outcome remained predictive for ASA even after controlling for current suicidal ideation and prior suicide attempts.ConclusionA reinforcement learning task with ambiguous neutral outcomes may provide a useful tool to help predict near-term risk of ASA in at-risk patients. …”
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Identification of Southeast Asian Anopheles mosquito species with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using a cross-correlation approach by Victor Chaumeau, Sunisa Sawasdichai, Thu Zar Ma Ma Moe Min, Thithiwarada Kularbkeeree, Naw Jaruwan, Naw Gloria, Naw Yu Lee, Muesuwa Trackoolchengkaew, Monticha Phanaphadungtham, Patcharamai Rongthong, Aritsara Inta, Wanitda Watthanaworawit, François Nosten

“…MALDI–TOF MS is a valuable tool for rapid, accurate, and affordable identification of Anopheles species. …”
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Quantification of Forest Regeneration on Forest Inventory Sample Plots Using Point Clouds from Personal Laser Scanning by Sarah Witzmann, Christoph Gollob, Ralf Kraßnitzer, Tim Ritter, Andreas Tockner, Lukas Moik, Valentin Sarkleti, Tobias Ofner-Graff, Helmut Schume, Arne Nothdurft

“…Light detection and ranging (LiDAR) technology, particularly ground-based LiDAR, has emerged as a powerful tool for assessing typical forest inventory parameters, providing high-resolution, three-dimensional data on the forest structure. …”
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Recombinase-based amplification coupled with lateral flow chromatography for the specific and sensitive detection and identification of Leishmania major in cutaneous leishmaniasis... by Insaf Bel Hadj Ali, Yusr Saadi-Ben Aoun, Imen Khammeri, Hejer Souguir, Emna Harigua-Souiai, Hamed Chouaieb, Ahmed S. Chakroun, Meryem Lemrani, Aicha Kallel, Kalthoum Kallel, Nabil Haddad, Oussaima El Dbouni, Rhea N. Coler, Rhea N. Coler, Rhea N. Coler, Steven G. Reed, Akila Fathallah-Mili, Akila Fathallah-Mili, Ikram Guizani

“…Here, we aimed for a simple and rapid molecular diagnostic test to detect and identify L. major, a predominant CL causal species, which could be prone to become a control tool at the point of care, in endemic areas, using isothermal recombinase DNA amplification (recombinase polymerase amplification, RPA, or recombinase aided amplification, RAA) coupled to detection by the lateral flow (LF) chromatography on a PCRD cassette.MethodsTo develop an L. major species-specific RPA-LF assay, computational analysis of 70 Leishmania DNA targets, identified through bibliography and database searches, selected five targets. …”
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Knowledge towards health impacts of climate change among Amhara Sayint community, Northeastern Ethiopia by Genanew Mulugeta Kassaw, Asmamaw Malede, Adinew Gizeyatu, Metadel Adane, Asha Embrandiri, Awoke Keleb, Gete Berihun, Abebe Kassa Geto, Belachew Tekleyohannes Wogayehu, Gebremeskel Kibret Abebe, Tibebu Habtie Zewde, Sisay Abebe Debela, Solomon Seyoum, Amana Ogeto Luke, Gashaw Wondaya, Atitegeb Abera Kide, Mekonnen Moges, Denise Metoyer, Mesfin Gebrehiwot

“…Data were collected through face-to-face interviews using a pilot-tested and content-validated questionnaire administered via Kobo Collect survey tool. The data were then exported to STATA for management and analysis. …”
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Clinical risk score to predict in-hospital mortality in COVID-19 patients: a retrospective cohort study by Adriano Peris, Andrea Ungar, Niccolò Marchionni, Federico Lavorini, Alessandro Bartoloni, Stefano Fumagalli, Rossella Marcucci, Giulia Cesaroni, Riccardo Pini, Carlo Nozzoli, Carlo Fumagalli, Renzo Rozzini, Matteo Vannini, Flaminia Coccia, Francesca Mazzeo, Maria Cola, Paolo Fontanari, Alessandro Morettini, Filippo Pieralli, Loredana Poggesi

“…All six predictors were used to build the COVID-19MRS (Area Under the Curve 0.90, 95% CI 0.87 to 0.93), which proved to be highly accurate in stratifying patients at low, intermediate and high risk of in-hospital death (p<0.001).Conclusions The COVID-19MRS is a rapid, operator-independent and inexpensive clinical tool that objectively predicts mortality in patients with COVID-19. …”
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The protein structurome of Orthornavirae and its dark matter by Pascal Mutz, Antonio Pedro Camargo, Harutyun Sahakyan, Uri Neri, Anamarija Butkovic, Yuri I. Wolf, Mart Krupovic, Valerian V. Dolja, Eugene V. Koonin

“…In addition to sequence- and hmm profile‑based methods, protein structure comparison adds a powerful tool to uncover protein functions and relationships. …”
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Development and validation of a multidimensional, culturally and socially inclusive Child Resilience Questionnaire (parent/caregiver report) to measure factors that support resilie... by Deirdre Gartland, Elisha Riggs, Rebecca Giallo, Stephanie Janne Brown, Karen Glover, Kelsey Hegarty, Amanda Mitchell, Jane Yelland, Josef Szwarc, Sue Casey, Donna Weetra, Mardi Stowe, Sharon Mongta, Helen Herman, Selena White, Tanya Koolmatrie, Georgie Paxton

“…It has good psychometric properties and will have broad applications in clinical, educational and research settings. The tool also adds to the few culturally competent measures relevant to Aboriginal and refugee background communities.…”
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Status of cerebrovascular autoregulation relates to outcome in severe paediatric head injury: STARSHIP, a prospective multicentre validation studyResearch in context by Shruti Agrawal, Claudia Smith, Stefan Y. Bogli, Michal M. Placek, Manuel Cabeleira, Deborah White, Esther Daubney, Adam Young, Erta Beqiri, Riaz Kayani, Diarmuid O'Donnell, Nazima Pathan, Suzanna Watson, Anna Maw, Matthew Ganrett, Hari Krishan Kanthimathianathan, Harish Bangalore, Santosh Sundararajan, Gayathri Subramanian, Dusan Raffaj, Avishay Sarfatti, Simona Lampareillo, Anton Mayer, Oliver Ross, Marek Czosnyka, Peter J. Hutchinson, Peter Smielewski, Carly Tooke, Caroline Payne, Holly Belfield, Amisha Mistry, Collette Spencer, Claire Jennings, Lara Bunni, Laura Anderson, Emily Morgan, Melanie James, Rebecca Beckley, Tahnima Khatun, Hafiza Khatun, Olivia Nugent, Richard Aldridge, Ruth Morgan, Julie Morcombe, Martin Quinton, Catherine Postlethwaite, Jenny Pond, Jessica Cutler, Caitlin Oxford

“…Summary: Background: Continuous assessment of cerebral autoregulation (CA) using pressure reactivity index (PRx), is a promising tool for individualized management to improve outcome after traumatic brain injury (TBI). …”
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The Monocyte-to-Lymphocyte Ratio at Hospital Admission Is a Novel Predictor for Acute Traumatic Intraparenchymal Hemorrhage Expansion after Cerebral Contusion by Jiangtao Sheng, Tian Li, Dongzhou Zhuang, Shirong Cai, Jinhua Yang, Faxiu Ding, Xiaoxuan Chen, Fei Tian, Mindong Huang, Lianjie Li, Kangsheng Li, Weiqiang Chen

“…A nomogram derived from the MLR model may provide an easy-to-use tool for predicting acute tICH expansion and promoting the individualized treatment of patients with hemorrhagic cerebral contusion. …”
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How trait mindfulness protects late adolescents from stress-induced sleep problems: the unique role of mindfulness facets and gender differences by Huiting Cao, Jing Qian, Fenghua Tang, Yunyan Dong, Haining Ren, Xiaoran Xue, Ningning Mao, Xiaoyu Liu

“…Since the measurement tool for the Observing facet only had 1 question tested on observing inner feelings, and other questions are all about observing bodily sensations and outer environments, this study implies that insomnia therapies focus on enhancing the ability to anchor attention in the present moment, especially towards bodily sensations and the outer environment, may be particularly effective in buffering the long-term impact of daily stressors on sleep for young females. …”
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Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes by Yamini Bhat, Subrata Nandy, Krishna Das, Muna Tamang, Hitendra Padalia, Arun Jyoti Nath, Koushik Majumdar, Rocky Pebam, Pynkhlainbor Thongni, Bandana Kurmi, Ashesh Kumar Das, S. P.S. Kushwaha, R. P. Singh

“…The study analyzed vegetation disturbance and regrowth patterns in a shifting cultivation landscape from 1991 to 2020 using normalized burn ratio trends through LandTrendr, validated by the TimeSync tool. Six land use and land cover classes, viz., forests and trees outside forests, rubber plantation, shifting cultivation, water bodies, agriculture, and settlements, were mapped with an accuracy of 83.08% using a random forest classifier. …”
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Vibration Energy Color Doppler Imaging (VECDI) in Evaluating the Effect of Screw Fixation on Sacroiliac Joint Stiffness: A Prospective Pilot Study by Caleb Gottlich, Thomas Githens, Alex Drusch, Neil Jain, Cyrus Caroom, Phillip S. Sizer

“…Here we propose VECDI as a potentially objective tool in SIJ assessment. Following surgical fixation necessitated by trauma, fixation using SI screws demonstrated similar stiffness values through the SIJ at four- and eight-weeks post-operatively when compared to healthy controls. …”
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Prevalence and related factors of compassion fatigue among registered nurses and nursing students during the internship: a systematic review and meta-analysis by Lijuan Yi, Suwen Hu, Mengqi Liao, Liang Cheng, Yi Liu, Xu Tian, Maria F. Jiménez-Herrera

“…The Agency for Healthcare Research and Quality tool was used for critical appraisal of study quality. …”
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Designing and Explaining the Competence Model of Knowledge Engineers in Municipalities (Study Case: Tehran Municipality) by Amin Seyyed Nosrati, Zahra Foroutani, Atyieh Bohrani

“…The thematic analysis conducted in this research follows a thematic format approach, where interviews are the primary tool for extracting both main and secondary themes. …”
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Predicting Axillary Lymph Node Metastasis in Young Onset Breast Cancer: A Clinical-Radiomics Nomogram Based on DCE-MRI by Dong X, Meng J, Xing J, Jia S, Li X, Wu S

“…Precisely forecasting axillary lymph node metastasis (ALNM) is essential for customizing treatment plans and enhancing patient results.Objective: This research sought to create and verify a clinical-radiomics nomogram that combines radiomic features from Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) with standard clinical predictors to improve the accuracy of predicting ALNM in young breast cancer patients.Methods: We performed a retrospective analysis at one facility, involving the creation and validation of a nomogram in two stages.At first, a medical model was developed utilizing conventional indicators like tumor dimensions, molecular classifications, multifocal presence, and MRI-determined ALN status.A more detailed clinical-radiomics model was subsequently developed by integrating radiomic characteristics derived from DCE-MRI images.These models were created using logistic regression analyses on a training dataset, and their effectiveness was assessed by measuring the area under the receiver operating characteristic curve (AUC) in a separate validation dataset.Results: The clinical-radiomics nomogram surpassed the clinical-only model, recording an AUC of 0.892 in the training dataset and 0.877 in the validation dataset.Significant predictors included MRI-reported ALN status and select radiomic features, which markedly enhanced the model’s predictive capacity.Conclusion: Integrating radiomic features with clinical predictors in a nomogram significantly improves ALNM prediction in young onset breast cancer, providing a valuable tool for personalized treatment planning. This study underscores the potential of merging advanced imaging data with clinical insights to refine oncological predictive models. …”
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Prospective clinical performance of CoVarScan in identifying SARS-CoV-2 Omicron subvariants by Kenneth Zhu, Manoj Sah, Lenin Mahimainathan, Yan Liu, Chao Xing, Karen Roush, Andrew Clark, Jeffrey SoRelle

“…CoVarScan performs as accurately as WGS with higher sensitivity, allowing its use as a tool to quickly identify variants for epidemiological surveillance and clinical decision-making in the selection of effective therapeutic mAbs.IMPORTANCEAlmost 5 years since the start of the pandemic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern continue to emerge, with mutations conferring new properties like increased transmissibility and resistance to therapeutic monoclonal antibodies and vaccines. …”
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