The relationship between decision regret, quality of life, and mindfulness in early-stage breast cancer survivors by Yu-Ling Kao, Ming-Shen Dai, Wan-Chen Tsai, Fei-Hsiu Hsiao

“…Decision regret influences survivors’ general and breast specific functions. Mindfulness awareness could reduce the impact of decision regret on QOL. …”
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Association of Apolipoprotein E Gene Polymorphism with Lipid Profile and Ischemic Stroke Risk in Type 2 Diabetes Mellitus Patients by Ni Putu Tesi Maratni, Made Ratna Saraswati, Ni Nyoman Ayu Dewi, I Wayan Putu Sutirta Yasa, I Putu Eka Widyadharma, Ida Bagus Kusuma Putra, Ketut Suastika

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Relationship between BDNF content in cord blood and early neurobehavior in newborns with subclinical hypothyroidism during pregnancy: a preliminary study by Hui Xu, Ya-Nan Du, Shuai Yang, Yu-Wen Guo

“…This study investigates the correlation between alterations in umbilical cord blood BDNF levels and early neurobehavioral abnormalities in neonates born to pregnant women with SCH.MethodsThis study recruited 72 pregnant women with SCH and 76 healthy controls (HC). The study collected general information for all subjects, including body mass index, parity, thyroid function assessed during early to late pregnancy, and neonatal birth weight. …”
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INFLUENCE OF ANODIC ALUMINA USED AS SEPARATING DIELECTRIC OF SILICON AVALANCHE LEDs ON DIODE CHARACTERISTICS by Vi Le Dinh, A. Yu. Klutsky, A. A. Dolbik, A. A. Leshok, S. K. Lazarouk

“…The use of silicon avalanche LEDs both as discrete devices and in integrated electronics in general has been discussed.…”
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Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

“…We present a comparative analysis of two hybrid models, Harris Hawks Optimization with Random Forest (HHO-RF) and Sine Cosine Algorithm with Random Forest (SCA-RF), against traditional regression methods and classical models like the Extreme Learning Machine (ELM), General Regression Neural Network (GRNN), and Radial Basis Function (RBF). …”
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Exploring the macro-level, meso-level and micro-level barriers and facilitators to the provision of good quality early inflammatory arthritis (EIA) care in England and Wales by Sam Norton, Cath Taylor, James Galloway, Magdalena Zasada, Mark Yates, Nicola Ayers, Zoë Ide

“…These organisational factors directly influenced team structure and function, and thereby EIA care quality.Conclusions Variability in quality of EIA care is associated with an interplay between macro, meso and micro service features. …”
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The Comparison Between Plyometrics and Aerobic Exercises toward Medical Students of Diponegoro University by Iin Atika Situngkir, Endang Ambarwati, Endang Kumaidah, Sumardi Widodo

“…ABSTRACT Introduction: Sedentary life style had become one of factors causing health problem for someone in general. To avoid that condition we could apply some exercises regularly. …”
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Markers of kidney injury, lipid metabolism, and carbonyl stress in patients with type 1 diabetes and different levels of albuminuria by M. A. Darenskaya, E. V. Chugunova, S. I. Kolesnikov, L. A. Grebenkina, N. V. Semyonova, O. A. Nikitina, L. I. Kolesnikova

“…The levels of renal function markers, lipid metabolism parameters, and methylglyoxal were assessed using enzyme immunoassay and spectrophotometric and fluorometric methods.Results. …”
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Navigating the Path to Recovery: A Scoping Review of Return to Work Program for Manufacture Workers After Occupational Injury by Arie Arizandi Kurnianto, Nemeskéri Zsolt, István Ágoston

“…Introduction: Workplace accidents in the manufacturing industry may significantly affect both a worker's capacity to return to work and their general well-being. Effective return-to-work programs may help disabled workers rehabilitate. …”
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Development and validation of risk models to predict chronic kidney disease among people living with HIV: protocol for a systematic review by A P Kengne, Adesola Z Musa, Babatunde L Salako, Nasheeta Peer, Oluwatosin Olaseni Odubela, Nkiruka Odunukwe

“…Predictive models have been employed in the estimation of prevalent and incident CKD risk in both PLWH and the general population. A predictive model showing an individual’s risk of prevalent and/or progression to kidney failure is useful for initiating timely interventions that prevent further worsening of kidney function. …”
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Case Report: Managing the Coinfection of Cerebral Malaria and Dengue in the Intensive Care Unit by Chandra Gunawan, I Wayan Suranadi, I Putu Agus Surya Panji, Tjokorda Gde Agung Senapathi

“…His initial laboratory investigation showed increasing pattern of WBC, thrombocyte, anemia, peripheral blood smear normochromic normocytic erythrocyte, poikilocytosis (ovalocytes (+), teardrop cells (+)), normoblasts (+), presence of Plasmodium malariae trophozoite and schizont stage parasites, positive result of IgM and IgG anti dengue, increased liver function test, increased BUN and creatinine serum levels, hyperbilirubinemia, hypoalbuminemia, and normal result of blood gas analysis. …”
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Evaluation of silkworm pupa meal on growth, body indices, digestive enzymes and histopathology of Cirrhinus mrigala fingerlings by Fatima Yasin, Muhammad Mudassar Shahzad, Syed Makhdoom Hussain, Syed Zakir Hussain Shah, Zawar Hussain, Waseem Abbas

“…Intestinal histological analysis and digestive enzyme activity demonstrated that SPM can be readily substituted up to 40% without affecting the general performance of C. mrigala fingerlings and aid in creating an economical and environmentally friendly diet. …”
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INFLUENCE OF MONETARY POLICY INSTRUMENTS AND INDICATORS ON DYNAMICS OF FINANCING INNOVATION: EMPIRICAL EVIDENCE by Anargul Belgibayeva, Anastasiia Samoilikova, Tetiana Vasylieva, Serhiy Lieonov

“…This one confirms that monetary instruments in Ukraine are not fully performing their regulatory function, in the context of stimulating innovation development. …”
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COMBINING FUZZY ANP AND FUZZY ARAS METHODS FOR DETERMINING THE BEST LAND INVESTMENT LOCATION by Chasib Idris, Mila Kurniawaty, Sa`adatul Fitri

“…Following this, the ranking stage utilizes the Additive Ratio Assessment (ARAS) method, which provides utility function values to determine the efficiency of alternatives. …”
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The Mediating Role of Humor in Relation With COVID‐19 Fear, Anxiety and Depression of Bangladeshi People: A Cross‐Sectional Study by Md. Shahinoor Rahman, Abdur Rahman, Murshida Ferdous Binte Habib

“…A sense of humor may function by assisting in the reappraisal of threats or by making fear, anxiety, and depression less threatening. …”
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Modeling the Transmission Routes of Hepatitis E Virus as a Zoonotic Disease Using Fractional-Order Derivative by Shaibu Osman, Binandam Stephen Lassong, Munkaila Dasumani, Ernest Yeboah Boateng, Winnie Mokeira Onsongo, Boubacar Diallo, Oluwole Daniel Makinde

“…It was observed that a few variations in the fractional derivative order did not alter the function’s overall behavior with the results of numerical simulations. …”
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Some issues of prosecutor’s participation in proceedings on administrative offences: based on the European Court of Human Rights case law by S. O. Shatrava, О. V. Dzhafarova, О. V. Pohorilets

“…Therefore, under the new Ukrainian constitutional legal order, the prosecutor’s office as an institution performing the function of criminal prosecution is structurally integrated into the general system of justice. …”
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The significance of a dementia diagnosis from the perspective of the family caregivers: a qualitative study by Inger Molvik, Grete Kjelvik, Geir Selbæk, Anne Marie Mork Rokstad

“…Participants were recruited based on the cognitive function level of their family members, which was compatible with dementia as assessed with the Montreal Cognitive Assessment Scale (MoCA). …”
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Cross-Receiver Radio Frequency Fingerprint Identification: A Source-Free Adaptation Approach by Jian Yang, Shaoxian Zhu, Zhongyi Wen, Qiang Li

“…Our theoretical analysis provides a solid foundation for the generalization performance of SCRFFI, which is corroborated by extensive experiments on real-world datasets, where under realistic noise and channel conditions, that CSCNet significantly improves recognition accuracy and robustness, achieving an average improvement of at least 13% over existing methods and, notably, a 47% increase in specific challenging cross-receiver adaptation tasks.…”
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Construction of a Surface Roughness and Burr Size Prediction Model Through the Ensemble Learning Regression Method by Ali Khosrozadeh, Seyed Ali Niknam, Fatemeh Hajizadeh

“…The model demonstrated strong generalization capability when tested on unseen data. …”
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