Correlations between symptoms, nasal endoscopy and computed tomography findings in patients with chronic rhinosinusitis without nasal polyps by Savović Slobodan, Dragnić Nataša, Kljajić Vladimir, Jovančević Ljiljana, Buljčik-Čupić Maja, Lemajić-Komazec Slobodanka

“…The intensity of the symptoms assessed on the visual analogue scale (VAS) and the condition of nasal mucosa and the presence of nasal secretion was estimated by endoscopic examination of the nose while CT was used to determine the Lund-Mackay (LM) score values. Pearson’s coefficient of correlation was used for statistic data processing. …”
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Analisis Pengaruh Kualitas Layanan Terhadap Kepuasan Pelanggan dan Loyalitas Pengguna Aplikasi Jenius Menggunakan Model E-S- Qual dan E- Recs- QUal (Studi Kasus: Pengguna Aplikasi... by Alfansya Achmad Mulyadi, Satrio Hadi Wijoyo, Hanifah Muslimah Az-Zahra

“…This study uses quantitative methods using Electronic Service Quality and Electronic Recovery Service Quality models. …”
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Competition Between Protein and DNA for Binding to Natural Sepiolite Nanofibers by Adame Brooks D, Piétrement O, Dardillac E, Castro Smirnov FA, Aranda P, Ruiz-Hitzky E, Lopez BS

“…In this study, we analyzed the adsorption of DNA and proteins to sepiolite by analyzing the competition among these biomolecules during the adsorption process.Methods: To determine the binding of sepiolite to proteins, we used BSA and a monoclonal antibody (mAb) against the CD4 membrane antigen as a model. …”
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Enhanced detection of circulating tumor cells using a MUC1 promoter-driven recombinant adenovirus by Cheng Wang, Huihui Gu, Jia Cai, Chuandong Zhu, Qin Zheng, Hanfeng Xu, Lixue Wang, Yuan Wan

“…CTC Model Samples were employed to determine detection rates, and clinical samples from breast cancer patients were analyzed to preliminarily evaluate the efficacy of CTC detection in a clinical context.ResultsIn preclinical and clinical studies, rAdF35-MUC1 exhibited a significantly high detection efficiency for breast cancer cells, outperforming the existing hTERT-dependent adenovirus (rAdF35-hTERT), especially in detecting CTCs at low quantities. …”
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Artificial Intelligence in ECG interpretation - review article by Łukasz Fussek, Jagoda Niewiadomska, Borys Bondos, Aleksandra Stępień, Alicja Paluch, Jakub Skrzypek, Aleksandra Język Polski, Robert Kochan, Ewelina Wieczorek, Kacper Lee

“…Material and methods   A review paper using articles describing the application of artificial intelligence in ECG interpretation from 1997 to 2024. …”
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A prospective histopathological analysis of the inferior turbinate: which functional parts should be preserved during turbinate surgery? by Salma Saud AlSharhan, Norah Mohammad AlNafea, Mona Mohammad Ashoor, Wasan Fahad AlMarzouq, Salwa ALRashed AlHumaid, Nada Abdallah ALBahrani, Areej Manssour Al Nemer, Reem S. AlOmar, Hussain Jawad Aljubran

“…Therefore, this study aimed to identify the histological changes and the most functional areas of the IT to assist otolaryngologists with improving and modifying surgical techniques and minimizing potential complications. Methods: This prospective, cross-sectional study was conducted to evaluate the contribution of hypertrophic IT to nasal obstruction. …”
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Comparison of Rumen Fluid pH by Continuous Telemetry System and Bench pH Meter in Sheep with Different Ranges of Ruminal pH by Leonardo F. Reis, Antonio H. H. Minervino, Carolina A. S. C. Araújo, Rejane S. Sousa, Francisco L. C. Oliveira, Frederico A. M. L. Rodrigues, Enoch B. S. Meira-Júnior, Raimundo A. Barrêto-Júnior, Clara S. Mori, Enrico L. Ortolani

“…The results were compared using the Bland-Altman analysis of agreement, Pearson coefficients of correlation and determination, and paired analysis of variance with Student’s t-test. …”
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Photosynthetic characteristics of Paris polyphylla var. chinensis in response to different light intensities and soil water contents by Yaling Zhang, Yaling Zhang, Rong Xu, Rong Xu, Rong Xu, Zhaozhao Wang, Juan Zhang, Xinghao Tang, Yu Chen, Xiao-Li Yan, Lu-Ping Qu, Lu-Ping Qu

“…It is imperative to study the photochemical processes of P. polyphylla in order to determine the optimal levels of shading and moisture management for its cultivation in artificial environments.MethodsIn this study, six shading levels (no shading, 30%, 50%, 70%, 80% and 90% shading) and three soil water contents (20%, 40% and 60% of the soil water saturation capacity) were established to determine the appropriate shade intensity and soil moisture content for the growth of P. polyphylla.ResultsThe results showed that only the low shade groups (no shade and 30% shade) showed irreversible damage to the daily photosynthetic dynamics of the plant over the course of a day. …”
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Involvement in Parasocial Relationships among Middle-Aged Women by A.M. Molokostova, M.N. Kosmacheva

“…Duhnovsky (SOMO) [3]. Determination of the subjective feeling of loneliness was carried out using the methodology of D. …”
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Simulation of the effect of climate change on phenology and yield of dryland wheat in Kurdistan province by Fateme Aghamir, Saeid Soufizadeh, Ahmad Soheili

“…Material and methods: In the present study, the effect of temperature increase, increase and decrease of 20% in precipitation and increase of carbon dioxide concentration on phenology and yield of dryland wheat in four cities of Dehgolan, Divandere, Saqez and Sanandaj in Kurdistan province with long-term climatic data of Kurdistan province in it was studied from 1370 to 1393. …”
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Quantitative magnetic resonance spectroscopy and imaging analysis of the lipid content in the psoas major and its association with intervertebral disc degeneration: a cross-section... by Izaya Ogon, Hiroyuki Takashima, Tomonori Morita, Mitsunori Yoshimoto, Tsuneo Takebayashi, Atsushi Teramoto

“…Consequently, this study aimed to analyse the association between the psoas major extramyocellular lipid (EMCL) and intramyocellular lipid (IMCL) content and disc degeneration quantified using MRI T2 mapping in patients with chronic low back pain (CLBP). Methods: In this study, 20 men and 23 women (mean age, 63.1 years ± 2.6 years) underwent magnetic resonance spectroscopy (MRS). …”
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Validation of the Mild Behavioral Impairment Scale (MBI-S) for brief self-assessment of Mild Behavioral Impairment in people without dementia by Paula Hinkl, Elmar Graessel, Nicolas Rohleder, Peter Landendoerfer, Thomas Kuehlein, Natascha Lauer, Anna Pendergrass

“…Cronbach’s alpha was calculated to assess the internal consistency, and a principal component analysis was conducted to determine the structure of the instrument. Construct validity was established by testing four hypotheses about relationships between the MBI-S and other instruments by calculating correlation coefficients. …”
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Effectiveness of probiotic therapy in chronic purulent maxillary sinusitis in patients with type 1 diabetes mellitus by O.O. Mazur, N.V. Pashkovska, O.H. Plaksyvyi, I.O. Tsaryk, I.V. Kalutskyi, N.M. Kaspruk, Ya.M. Teleki

“…Integral hematological coefficients and spectrophotometric determinations of middle mass molecules were used. …”
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Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

“…Our model obtains a Root Mean Squared Error (RMSE) of 0.0049, an Mean Absolute Error (MAE) of 0.0034, a mean absolute percentage error (MAPE) of 0.46%, and a coefficient of determination <inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula> of 0.9970 according to experimental findings on a whole dataset. …”
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Ecological Aspects of the Formation of Regraded Solonchak in the Terek-Kuma Lowland of the Caspian by G. N. Gasanov, Z. M. Asadulaev, T. A. Asvarova, Z. U. Gasanova, K. M. Gadzhiev, R. R. Bashirov, A. S. Abdulaeva, Z. N. Akhmedova, M. R. Musaev, N. R. Magomedov, A. А. Aytemirov, S. L. Desinov

“…To reveal the basic patterns and principles of formation on the surface of crusty solonchak of an aeolian-accumulative horizon and its positive transformation at the taxonomic level.Material and Methods. On the surface of crusty solonchak there is formed a layer of silt-sand fractions with seeds of wild phytocenoses which move/перемещаюихся over the surface of the soil under the influence of atmospheric processes with the utilization of woody material protruding above the soil surface to 0.2 m. …”
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Long-term alveolar-capillary diffusion impairments after severe SARS-CoV-2 pneumonia by Laura Pini, Jordan Giordani, Guido Levi, Michele Guerini, Simone Piva, Elena Peli, Manuela Violini, Stefano Piras, Yehia El Masri, Alessandro Pini, Dina Visca, Deodato Assanelli, Maria Lorenza Muiesan, Nicola Latronico, Claudio Tantucci

“…This study aimed to characterize persistent diffusion impairment in post-ICU patients with prior SARS-CoV-2 pneumonia and reduced DLCO.Methods After hospital discharge, patients underwent spirometry, DLCO measurement, and a 6-minute walking test every six months. …”
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New Patient PROMIS Scores of Patients Presenting with Low Back Pain Predict Time to Elective Spine Surgery by Justin E. Kung, Chase Gauthier, Yianni Bakaes, Michael Spitnale, Richard A. Bidwell, David G. Edelman, Heidi C. Ventresca, J. Benjamin Jackson, Shari Cui, Gregory Grabowski

“…Conclusions: Worse new patient PROMIS PI scores were associated with undergoing surgery within one year of initial evaluation. To determine if PROMIS scores may help in a triage capacity to identify which patients are most appropriate for a surgeon visit versus a nonsurgical provider, further research is needed, thereby improving the efficiency of surgical care delivery.…”
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CarotidSCORE.RU — risk stratification for complications after carotid endarterectomy by A. N. Kazantsev, D. D. Khasanova, A. D. Alpatskaya, A. V. Korotkikh, M. O. Dzhanelidze, M. A. Rusakova, E. U. Kharchilava, M. V. Sulimenko, V. A. Lutsenko, R. V. Sultanov, F. R. Alizada, E. O. Meleshin, E. R. Ginzburg, A. E. Gofman, E. O. Alekseeva, R. Yu. Lider, A. A. Pivovarov, A. B. Zakeryaev, G. Sh. Bagdavadze, M. M. Makoeva, A. I. Klimova, A. S. Zharova, I. A. Chernyavtsev, O. O. Abramov, K. L. Zakharova, I. M. Radzhabov, I. A. Karmokov, A. P. Kuklev, K. N. Solotenkova, M. G. Pachkoria, I. S. Sem’in, A. A. Kostenkov, K. P. Chernykh

“…To demonstrate the first Russian computer program (carotidscore.ru) for risk stratification of postoperative complications of carotid endarterectomy (CE).Material and methods. The present study is based on the analysis of a multicenter Russian database including 25812 patients after CE operated on from January 1, 2010 to April 1, 2022. …”
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Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 by Michael Jerrett, Yu Yu, Ying-Ying Meng, Diane Garcia-Gonzales, Mohammad Z Al-Hamdan, Miriam E Marlier, Joseph L Wilkins, Ninez Ponce

“…Instruction To help determine the health protectiveness of government regulations and policies for air pollutant control for Americans, our study aimed to investigate the health and economic impacts of work loss due to sickness associated with daily all-source and wildfire-specific PM2.5 (particulate matter with an aerodynamic diameter smaller than 2.5 μm) exposures in California.Methods We linked the 2015–2018 California Health Interview Survey respondents’ geocoded home addresses to daily PM2.5 estimated by satellites and atmospheric modelling simulations and wildfire-related PM2.5 from Community Multiscale Air Quality models. …”
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Robust Classification of Intramuscular EMG Signals to Aid the Diagnosis of Neuromuscular Disorders by Shobha Jose, S. Thomas George, M. S. P. Subathra, Vikram Shenoy Handiru, Poornaselvan Kittu Jeevanandam, Umberto Amato, Easter Selvan Suviseshamuthu

“…<italic>Goal:</italic> This article presents the design and validation of an accurate automatic diagnostic system to classify intramuscular EMG (iEMG) signals into healthy, myopathy, or neuropathy categories to aid the diagnosis of neuromuscular diseases. <italic>Methods:</italic> First, an iEMG signal is decimated to produce a set of &#x201C;disjoint&#x201D; downsampled signals, which are decomposed by the lifting wavelet transform (LWT). …”
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