Medication patterns and potentially inappropriate medication in patients with metastatic breast cancer: results of the BRE-BY-MED study by Lilly Sophia Brandstetter, Anna Grau, Peter U. Heuschmann, Max Müller-Reiter, Jessica Salmen, Stefan Störk, Achim Wöckel, Jens-Peter Reese

“…Considering the burden of mBC and the predicted life expectancy, mBC patients might benefit from closer monitoring of their medication.…”
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The effect of hindrance stressors on the emotional exhaustion among front-line healthcare workers in the recuperation period during the COVID-19 epidemic in China: a prospective cr... by Hua Zhang, Huan Wang, Junying Ye, Hao Wu, Xinyao Zhou, Caiping Song, Pengpeng Yin, Renzhong Shi, Yang Dan

“…Hindrance stressors, mediated by affective rumination, had a significant positive predictive effect on emotional exhaustion. Servant leadership negatively moderated the direct effect of hindrance stressors on emotional exhaustion (β=−0.106, p<0.01). …”
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First genome-scale insights into the virulence of the snow mold causal fungus Microdochium nivale by Ivan Tsers, Ekaterina Marenina, Azat Meshcherov, Olga Petrova, Olga Gogoleva, Alexander Tkachenko, Natalia Gogoleva, Yuri Gogolev, Evgenii Potapenko, Olga Muraeva, Mira Ponomareva, Viktor Korzun, Vladimir Gorshkov

“…Despite its great economic importance, M. nivale is poorly investigated; its genome has not been sequenced and its crucial virulence determinants have not been identified or even predicted. In our study, we applied a hybrid assembly based on Oxford Nanopore and Illumina reads to obtain the first genome sequence of M. nivale. 11,973 genes (including 11,789 protein-encoding genes) have been revealed in the genome assembly. …”
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Mechanistic investigation and the optimal dose based on baicalin in the treatment of ulcerative colitis–A preclinical systematic review and meta-analysis by Jinchen Chong, Zepeng Chen, Jiaze Ma, Linhai He, Yijia Zhu, Zhihua Lu, Zhengxi Qiu, Chen Chen, Yugen Chen, Feng Jiang

“…Optimal therapeutic outcomes were predicted at dosages of 60–150 mg/kg over 10–14 weeks. …”
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The role of the KIBRA and APOE genes in developing spatial abilities in humans by A. V. Kazantseva, R. F. Enikeeva, Yu. D. Davydova, R. N. Mustafin, Z. R. Takhirova, S. B. Malykh, M. M. Lobaskova, T. N. Tikhomirova, E. K. Khusnutdinova

“…In the contemporary high-tech society, spatial abilities predict individual life and professional success, especially in the STEM (Science, Technology, Engineering, and Mathematics) disciplines. …”
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Impact of Serum Prolactin and Testosterone Levels on the Clinical Parameters of Dry Eye in Pregnant Women by Samuel Kyei, Richard K. Dadzie Ephraim, Stephen Animful, Madison Adanusa, Stephen Karim Ali-Baya, Belinda Akorsah, Mabel Antwiwaa Sekyere, Kofi Asiedu

“…Multiple linear regression was done to predict participants’ Schirmer’s test 1 score based upon their ocular surface staining score (oxford grading scale), meibomian gland expressibility, meibomian secretion quality, and serum concentration of prolactin. …”
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Risk Factors and Pharmacological Interventions Impacting Cerebrovascular Ischemic Events in Giant Cell Arteritis: A Narrative Review by Muhammad Osama Siddiqui, Mohammad Ali Syed, Ayaan Ahmed Qureshi, Mustafa Hussain Imam, Jatin Motwani, Verkha Kumari, Arooba Siddiqui, Noor Ul Ain, Mohammed Hammad Jaber

“…Ischemia in the ophthalmic artery is found to strongly predict GCA‐related CIE while aspirin and antiplatelet agent during the first 3 months may prevent GCA‐related CIE. …”
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Charm fragmentation fractions and $$\mathbf {c\overline{c}}$$ c c ¯ cross section in p–Pb collisions at $$\mathbf {\sqrt{s _{NN}}=5.02 TeV}$$ s NN = 5.02 TeV by ALICE Collaboration

“….)}$$ R pPb ( c c ¯ ) = 0.91 ± 0.04 ( stat . ) - 0.09 + 0.08 ( syst . ) - 0.03 + 0.05 ( extr . ) ± 0.03 ( lumi . ) , is found to be consistent with unity and with theoretical predictions including nuclear modifications of the parton distribution functions.…”
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Validation of insurance claims data on aetiology, surgical type and prosthesis for isolated valve surgery: a retrospective observational surgery by Shao-Wei Chen, Victor Chien-Chia Wu, Pao-Hsien Chu, An-Hsun Chou, Chun-Yu Chen, Feng-Cheng Chang, Yi‐Hsin Chan, Chia-Pin Lin, Yu-Ting Cheng, Bo-Cheng Hou, Jo-Ting Huang

“…Claims data, including ICD diagnostic codes, ICD procedural codes and NHI supply codes for surgical materials, were validated. Positive predictive values (PPVs) were calculated as the number of true positives divided by the total claims data.Results The PPVs (95% CI) for aortic valve (AV) surgery aetiologies were as follows: infectious endocarditis (IE), 94.1% (87.6%–97.7%); rheumatic heart disease (RHD), 88.2% (67.3%–97.5%); bicuspid AV, 93.3% (83.3%–98.1%); and degeneration, 91.7% (85.3%–95.8%). …”
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Green synthesis of magnetic type Zeolites 4A as catalyst for the elimination of quinoline yellow by the Fenton process: Optimization and kinetic investigation by Roland Urselin Noumsi Foko, Cyrille Ghislain Fotsop, Donald Raoul Tchuifon Tchuifon, Charles Banenzoué, Anatole Guy Blaise Azebaze

“…Confirmatory tests were carried out by response surface methodology based on the Box-Behnken design, and a degradation rate of 98.81 % was obtained under optimum conditions of pH 3.84, 50.14 mg/L, 100 mg, and 1.5 g/L; which is well in line with the model predictions. A significant quadratic regression model R2 = 91.35 % and the adjusted coefficient of determination value (adjusted R2 = 82.04 %) were observed using the analysis of the variance. …”
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Anthelmintic Resistance in Sheep Across Ireland and the UK: a literature review of the in vivo versus in vitro methods by Megan Tumulty

“…Although many of these respondents identified clinical signs in lambs during the predicted spring period, a number of respondents (6.7%) proposed that infection occurred during the autumn period, which concurred with previous findings. …”
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Human-genome single nucleotide polymorphisms affecting transcription factor binding and their role in pathogenesis by E. V. Antontseva, A. O. Degtyareva, E. E. Korbolina, I. S. Damarov, T. I. Merkulova

“…Thus, mapping expression quantitative trait loci (eQTLs) makes it possible to identify an SNP for which – among transcriptomes of homozygotes and heterozygotes for its various alleles – there are differences in the expression level of certain genes, which can be located at various distances from the SNP. To predict rSNPs, approaches based on searches for allele-specific events in RNA-seq, ChIP-seq, DNase-seq, ATAC-seq, MPRA, and other data are also used. …”
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Designing host-associated microbiomes using the consumer/resource model by Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, Lukas Herron, Purushottam Dixit

“…Importantly, the model predictively captures host-associated microbiomes and the corresponding hosts’ phenotypes, enabling the design of microbial communities associated with user-specified host characteristics.…”
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Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

“…Dropout students can be predicted through several processes of obtaining patterns or knowledge from data sets called data mining. …”
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Insomnia, cardiorespiratory function and quality of life in individuals with post-COVID-19 fatigue by Nathalea Spode de Arruda, Alessandra Hofstadler Deiques Fleig, Charles Rech, Carine Cristina Callegaro

“…Results: Individuals with post-COVID-19 fatigue demonstrated a higher prevalence of insomnia (80% vs. 49%) and excessive daytime sleepiness (45% vs. 7%), as well as lower MIP, shorter distance covered in the 6MWT, and lower FEV1/FVC (forced expired volume in the first second divided by forced vital capacity), and FEV1/FVC% of predicted. Additionally, they exhibited poorer quality of life in the physical and environmental domains. …”
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Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan by Tanweer Abbas, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Irfan Ali, Hafiz Umar Farid, Muhammad Usman Ali

“…LULC maps (2003, 2013, and 2023) were prepared and validated using Google Earth Engine. Future predictions for 2033 were generated using the MOLUSCE model in QGIS. …”
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A workplace-based HIV self-testing intervention as a determinant for self-testing knowledge, beliefs, and use among unskilled workers in Wakiso Uganda by Gerald Mukisa Nsereko, Khamisi Musanje, Eron Robinah Ayesiga, Loyce Kiiza Kobusingye, Rhoda Namubiru, Moses Sempala, Christine Kiwala, Martin Mabunda Baluku

“…Multiple regression model showed that HIVST knowledge and individual beliefs predict 37.2% [F(11,34) = 3.485, p ≤.05] of the variance in HIVST use and the overall biggest predictor of HIVST use was perceived susceptibility 53.7% (Beta = 0.537, t = 2.44, p ≤.05). …”
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Estimated Aerosol Health and Radiative Effects of the Residential Coal Ban in the Beijing-Tianjin-Hebei Region of China by Kelsey R. Bilsback, Jill Baumgartner, Michael Cheeseman, Bonne Ford, John K. Kodros, Xiaoying Li, Emily Ramnarine, Shu Tao, Yuanxun Zhang, Ellison Carter, Jeffrey R Pierce

“…When only considering the aerosol-related effects of the aforementioned coal-ban scenarios, we predict substantial health benefits, but do not anticipate a climate “co-benefit”, because removing aerosol emissions leads to a warming tendency. …”
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Management Control System and Financial Performance of Micro Finance Institutions in Central Region Uganda by Arthur, Sunday, Caleb, Tamwesigire, Caroline Masiko, Murezi, George Stanley, Kinyata, Godfrey, Barigye, Keneth, Nuwagira, Moses, Agaba

“…Structural Equations Modeling with Analysis of Moment Structures were used to for statistical modeling Besides, Hierarchical regression was used to test the predictive power of the variables and indicate precisely what happens to the model as different predictor variables are introduced in the model fit. …”
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Depressive and Negative Symptoms in the Early and Established Stages of Schizophrenia: Integrating Structural Brain Alterations, Cognitive Performance, and Plasma Interleukin 6 Lev... by Fabiana Corsi-Zuelli, Gary Donohoe, Siân Lowri Griffiths, Cristina M. Del-Ben, Andrew J. Watson, Tom Burke, Paris A. Lalousis, Declan McKernan, Derek Morris, John Kelly, Colm McDonald, Saahithh R. Patlola, Carmine Pariante, Nicholas M. Barnes, Golam M. Khandaker, John Suckling, Bill Deakin, Rachel Upthegrove, Maria R. Dauvermann

“…Structural equation modeling findings in early and established schizophrenia samples combined and early schizophrenia only showed that the interrelationship between higher plasma IL-6 levels, structural brain metrics, and general cognitive performance did not predict the severity of depressive and negative symptoms (p > .05). …”
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