Inflammatory-Driven Angiogenesis in Bone Augmentation with Bovine Hydroxyapatite, B-Tricalcium Phosphate, and Bioglasses: A Comparative Study by Vlad M. Anghelescu, Ioana Neculae, Octavian Dincă, Cristian Vlădan, Claudiu Socoliuc, Mirela Cioplea, Luciana Nichita, Cristiana Popp, Sabina Zurac, Alexandru Bucur

“…The clinical use of bioactive materials for bone augmentation has remained a challenge because of predictability and effectiveness concerns, as well as increased costs. …”
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The big five personality traits and eating habits among female students at Zayed University by Sharifa AlBlooshi, Kawther AlSabbah, Shatha Thani, Rafiq Hijazi, Ayesha S. Al Dhaheri, Falak Zeb, Leila Cheikh Ismail, Leila Cheikh Ismail

“…Personality traits are consistent behavioral patterns that individuals typically exhibit, and the Five-Factor Model (also known as the Big Five) is widely recognized as an effective framework for predicting personality traits.MethodsThis study analyzed the relationship between personality traits and eating behaviors among 425 female students using a cross-sectional design. …”
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Role of postoperative radiotherapy in pT3N0 rectal cancer: A risk‐stratification system based on population analyses by Yun‐xia Huang, Yan‐zong Lin, Jin‐luan Li, Xue‐qing Zhang, Li‐rui Tang, Qing‐yang Zhuang, Fei‐fei Lin, Xi‐jin Lin, Jun‐xin Wu

“…Our risk‐stratification model based on age, tumor differentiation, and number of nodes resected predicted the outcomes of pT3N0 rectal cancer patients. …”
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Dysregulated T Cell Activation and Aberrant Cytokine Expression Profile in Systemic Lupus Erythematosus by Haiyan Zhou, Bojiang Li, Jing Li, Tongqian Wu, Xiaoqian Jin, Rui Yuan, Ping Shi, Yan Zhou, Long Li, Fang Yu

“…We also developed a chemokine and cytokine profiling strategy to predict the activity of SLE, which has clinical implication for better monitoring the flares and remission during the course of SLE and for assessing therapeutic interventions.…”
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Analysis of the Clinicopathological Characteristics, Genetic Phenotypes, and Prognostics of Primary Pulmonary and Bronchial Adenoid Cystic Carcinoma by Zhengyang Hu, Xing Jin, Jian Wang, Qihai Sui, Yanjun Yi, Dejun Zeng, Zhencong Chen, Qun Wang, Jiacheng Yin, Lin Wang, Zongwu Lin

“…Univariate and multivariate analyses through Cox proportional hazards regression identified risk factors that predicted OS. The limma and matfools packages from R were used to compare the differential genes and mutations between PACC and LUAD, respectively. …”
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The multiple uses of artificial intelligence in exercise programs: a narrative review by Alberto Canzone, Alberto Canzone, Giacomo Belmonte, Antonino Patti, Domenico Savio Salvatore Vicari, Domenico Savio Salvatore Vicari, Fabio Rapisarda, Valerio Giustino, Patrik Drid, Antonino Bianco

“…The findings suggest that artificial intelligence holds promise in promoting physical activity across diverse populations, including children, adolescents, adults, older adult, and individuals with disabilities.ConclusionOur research found that artificial intelligence, machine learning and deep learning techniques were used: (a) as part of applications to generate automatic messages and be able to communicate with users; (b) as a predictive approach and for gesture and posture recognition; (c) as a control system; (d) as data collector; and (e) as a guided trainer.…”
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A novel de novo GABRA2 gene missense variant causing developmental epileptic encephalopathy in a Chinese patient by Li Yang, Xingyu Wan, Ran Hua, Junhong Jiang, Baotian Wang, Rui Tao, De Wu

“…Methods Genetic diagnosis was performed using trio‐whole exome sequencing, followed by bioinformatics predictions of pathogenicity. Structural modeling assessed the potential impact of the variant. …”
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Hooks, Lines, and Sinkers: How Active Galactic Nucleus Feedback and Cosmic-Ray Transport Shape the Far-infrared–Radio Correlation of Galaxies by Sam B. Ponnada, Rachel K. Cochrane, Philip F. Hopkins, Iryna S. Butsky, Sarah Wellons, N. Nicole Sanchez, Cameron Hummels, Yue Samuel Lu, Dušan Kereš, Christopher C. Hayward

“…In doing so, we generally verify the predictions of “calorimeter” theories at high FIR luminosities ( L _60 _μ _m  ≳ 10 ^9.5 L _⊙ ) and at low FIR luminosities ( L _60 _μ _m ≲ 10 ^9.5 L _⊙ ), the so-called “conspiracy” of increasing UV radiation escape in tandem with increasing CRe escape, and find that the global FRC is insensitive to orders-of-magnitude locally variable CR transport coefficients. …”
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Fasting Plasma Glucose Indicates Reversibility of the Acute Insulin Response after Short-Term Intensive Insulin Therapy in Patients with Various Duration of Type 2 Diabetes by Liehua Liu, Siyue Yang, Jianbin Liu, Hai Li, Juan Liu, Xiaopei Cao, Haipeng Xiao, Yanbing Li

“…In multivariate analyses, FPG after SIIT and baseline fasting C peptide were independent indicators of both AIR after the therapy and ∆AIR; HDL-C after the therapy also predicted AIR after the therapy. We concluded that recovery of the AIR could be obtained in T2DM patients of varying disease duration by SIIT and it could be conveniently estimated using posttreatment fasting plasma glucose and other fasting indicators.…”
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Exploring DNA methylation, telomere length, mitochondrial DNA, and immune function in patients with Long-COVID by Andrea Polli, Lode Godderis, Dries S. Martens, Madhura Shekhar Patil, Jolien Hendrix, Arne Wyns, Jente Van Campenhout, Emma Richter, Lara Fanning, Olivia Vandekerckhove, Eveline Claeys, Wim Janssens, Natalie Lorent

“…Troponin T and telomere shortening were the two main markers predicting Long-COVID and PEM-fatigue symptoms. Conclusions Long-COVID is not just one entity. …”
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Gross soil N transformations and microbial communities in Luxembourg beech forest (Fagus sylvatica L.) soils along a pH gradient by Mengru Jia, Annemieke Kooijman, Roland Bol, Wim W. Wessel, Kathrin Hassler, Albert Tietema

“…This improved understanding of microbial regulation of acidity-related soil N fertility is crucial for predicting forest responses to global climate disturbances.…”
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Pulmonary hypertension in Finland 2008-2020: A descriptive real-world cohort study (FINPAH) by Markku Pentikäinen, Piia Simonen, Helena Tuunanen, Pauliina Leskelä, Terttu Harju, Pertti Jääskeläinen, Christian Asseburg, Minna Oksanen, Erkki Soini, Christina Wennerström, Airi Puhakka, Terttu Harju, Elina Heliövaara, Pertti Jääskeläinen, Katriina Kahlos, Pentti Korhonen, Tiina Kyllönen, Pauliina Leskelä, Kirsi Majamaa-Voltti, Piia Simonen, Anu Turpeinen, Helena Tuunanen, Ville Vepsäläinen, Tapani Vihinen

“…PAH subtype, cardiac output, and the presence of ischemic heart disease or type 2 diabetes predicted survival.CTEPH patients (n = 189) were 63 years (mean) at diagnosis and 49% were women. …”
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Endoscopic Submucosal Dissection for Gastric Subepithelial Tumors: A Single-Center Experience by Jin Sung Lee, Gwang Ha Kim, Do Youn Park, Jong Min Yoon, Tae Wook Kim, Jong Hun Seo, Bong Eun Lee, Geun Am Song

“…The aim of this study was to investigate the efficacy and safety of ESD for gastric SETs and to assess possible predictive factors for incomplete resection. Patients and Methods. …”
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Implant-Supported Rehabilitation Using GBR Combined with Bone Graft on a Reconstructed Maxilla with the Fibula Free Flap by S. Di Carlo, V. Valentini, E. Grasso, F. De Angelis, L. Piccoli, A. Quarato, S. Jamshir, E. Brauner

“…The main difficulty of this clinical case concerns the low predictability of success of GBR on a maxillary reconstructed area with a free fibula flap: there is no previous evidence in the literature. …”
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Longitudinal association of thyroid-stimulating immunoglobulin levels with clinical characteristics in thyroid eye disease by Kyung In Woo, Suk-Woo Yang, Jeong Kyu Lee, Sang In Khwarg, Jin Sook Yoon, Sehyun Baek, Jae Wook Yang, JaeSang Ko, Koung Hoon Kook, Sang Duck Kim, Jun Hyuk Son, Helen Lew, Sung Bok Lee, Jae Woo Jang, Hee Young Choi, Mi Jung Chi

“…Objectives The clinical course of thyroid eye disease (TED) is heterogeneous and predicting patients who may develop the severe sequelae of the disease is difficult. …”
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Evaluation of a PCR-based lateral flow device for detecting Aspergillus and Candida species from clinical specimens by Ariff Khalid, Jacinta Santhanam, Mohd Nizam Tzar, Ang-Lim Chua, Sharifah Fadilah Abdul Wahid, Wan Rahiza Wan Mat, Raha Abd Rahman, Petrick Periyasamy

“…The positive and negative predictive values however were promising at 91.7 % and 93.7 %, respectively. …”
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Associations and potential epigenetic changes between air pollution and osteoarthritis risk and survival: Insights from a prospective cohort study by Jing Qian, Jiahao Zhu, Yifan Wang, Ruoqi Dai, Jingyou Miao, Ye Yang, Wenxia Zhao, Jing Wang, Lilu Ding, Dan Zhou, Min Yu, Yingjun Li

“…Moreover, genetically predicted methylation at the PM2.5-related CpG site cg04027612 near the GDF5 gene was associated with a lower risk of OA. …”
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Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol by Jaap Oosterlaan, Marsh Königs, Job B M van Woensel, Marc Engelen, Marjan E Steenweg, Petra J W Pouwels, Cece C Kooper, Hilgo Bruining, Arne Popma, Dennis R Buis, Maayke Hunfeld

“…At present, methods to understand let alone predict outcome on the basis of these variables are lacking, which contributes to unnecessary follow-up as well as undetected impairments in children. …”
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Get it while it's hot: Benefits of a large herbivore exploiting stochastic resource pulses in a time of food scarcity by Samantha P. H. Dwinnell, Larissa T. Beumer, René van derWal, Steve D. Albon, Åshild Ø. Pedersen, Øystein Holand, Brage B. Hansen, R. Justin Irvine, Erik Ropstad, Vebjørn Veiberg, Leif Egil Loe

“…Seasonal changes in plant phenology that are predictable allow animals to track abundant food resources. …”
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Reimagining habitat suitability modeling for Pacific saury (Cololabis saira) in the Northwest Pacific Ocean through acoustic data analysis from fishing vessels by Minghua Xue, Jianfeng Tong, Wen Ma, Zhenhong Zhu, Weiqi Wang, Shuo Lyu, Xinjun Chen

“…Cross-validation results indicated that the HSI model developed using the arithmetic mean method can better predict the distribution of suitable habitats than the geometric mean method. …”
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