Influence maximization under imbalanced heterogeneous networks via lightweight reinforcement learning with prior knowledge by Kehong You, Sanyang Liu, Yiguang Bai

“…Moreover, we conduct an analysis about some parameters, such as number of seed set selections T, embedding dimension d and network update frequency C. …”
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A characterisation of higher torsion classes by Jenny August, Johanne Haugland, Karin M. Jacobsen, Sondre Kvamme, Yann Palu, Hipolito Treffinger

“…Let $\mathcal {A}$ be an abelian length category containing a d-cluster tilting subcategory $\mathcal {M}$ . We prove that a subcategory of $\mathcal {M}$ is a d-torsion class if and only if it is closed under d-extensions and d-quotients. …”
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Does opting in or out affect the take up of incentives in a long running population-based cohort study: A nested randomised trial in ALSPAC. by Kate Northstone, Claire Bowring

“…However, for large studies, this introduces significant additional costs. We sought to determine whether an opt-in or an opt-out option for receiving financial incentives when completing questionnaires offers any cost saving measures.…”
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Dynamics of Professional and Communicative Tolerance in Educating International Relations Specialists by A. L. Temnitskiy

“…In conclusion of the article we can define the role of material differentiation of students in the context of communicative tolerance. …”
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Association of Hospital Consolidation with Cancer Outcomes by Justin Graff MD, Mahnoor Ayub BS, MS, Prashanth Prabakaran MD, Brendan Keelan BS, John D. Cramer MD

“…However, limited evidence exists about how these mergers affect the quality of care and cancer outcomes. We conducted a difference-in-differences analysis to assess the impact of hospital consolidation on cancer outcomes. …”
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Role of PPARG in Chemosensitivity-Regulating Network for Hypopharyngeal Squamous Cell Carcinoma by Fanyong Kong, Boxuan Han, Jiaming Chen, Xixi Shen, Lizhen Hou, Jugao Fang, Meng Lian

“…Then, we constructed the molecular network regulating chemosensitivity in HSCC. …”
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Pediatric Patient with Omental Cyst: A Rare Case (CT scan is not Enough to Differentiate from Other Abdominal Cysts) by Donny Aditia, Andi Dwihantoro

“…Instead of an ovarian cyst, we found an omental cyst during the operation, thus we had to conduct an excision and omentectomy and postoperatively achieved favorable results. …”
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The thermoelectric conversion efficiency problem: Insights from the electron gas thermodynamics close to a phase transition by I. Khomchenko, A. Ryzhov, F. Maculewicz, F. Kurth, R. Hühne, A. Golombek, M. Schleberger, C. Goupil, Ph. Lecoeur, A. Böhmer, G. Benenti, G. Schierning, H. Ouerdane

“…We also calculate the ideal thermoelectric conversion efficiency in noninteracting electron systems across a wide temperature range neglecting phonon effects and dissipative coupling to the heat source and sink. …”
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Recursive seed amplification detects distinct α-synuclein strains in cerebrospinal fluid of patients with Parkinson’s disease by Stefan Bräuer, Iñaki Schniewind, Elisabeth Dinter, Björn H. Falkenburger

“…To test this hypothesis, we recursively amplified aSyn fibrils from the cerebrospinal fluid (CSF) of 54 patients (34 people with PD and 20 controls). …”
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Population-level gut microbiome and its associations with environmental factors and metabolic disorders in Southwest China by Qianyu Qu, Qingyu Dou, Zhejun Xiang, Bin Yu, Lili Chen, Zhenxin Fan, Xing Zhao, Shujuan Yang, Peibin Zeng

“…We revealed extensive novel associations between the host microbiome and common metabolic disorders. …”
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Clinical Holistic Medicine: Factors Influencing The Therapeutic Decision-Making. From Academic Knowledge to Emotional Intelligence and Spiritual “Crazy” Wisdom by Søren Ventegodt, Isack Kandel, Joav Merrick

“…We argue here that holistic therapy has a very high success rate and is doing no harm to the patient, and encourage therapists, psychiatrists, psychologist and other academically trained “helpers” to constantly measure their own success-rate. …”
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Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine) by Chuin-Hen Liew, Song-Quan Ong, David Chun-Ern Ng

“…Recursive Feature Elimination (RFE) was employed for feature selection, and we trained seven supervised classifiers. Grid Search was used to optimize the hyperparameters of each algorithm. …”
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System Review about Function Role of ESCC Driver Gene KDM6A by Network Biology Approach by Jihua Ran, Hui Li, Huiwu Li

“…Then, we evaluate the pathways, which are statistically involved in the network derived from KDM6A. …”
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Simulating the air quality impact of prescribed fires using graph neural network-based PM2.5 forecasts by Kyleen Liao, Jatan Buch, Kara D. Lamb, Pierre Gentine

“…Utilizing a two-step approach, we use our forecasting model to predict the net and ambient PM2.5 concentrations, which are used to estimate wildfire contributions. …”
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Large N limit of the Yang–Mills measure on compact surfaces II: Makeenko–Migdal equations and the planar master field by Antoine Dahlqvist, Thibaut Lemoine

“…Unlike the sphere case, we show that the limiting object is remarkably expressed thanks to the master field on the plane defined in [3, 39], and we conjecture that this phenomenon is also valid for all surfaces of higher genus. …”
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The Effects of Urethane on Rat Outer Hair Cells by Mingyu Fu, Mengzi Chen, Xiao Yan, Xueying Yang, Jinfang Xiao, Jie Tang

“…We found that urethane hyperpolarizes the outer hair cell membrane potential in a dose-dependent manner and elicits larger outward current. …”
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Fine Sieving of Atmospheric Particles in a Collected Air Sample Using Oil Electrophoresis by Xinyue Li, Siyu Xu, Maosheng Yao

“…Abstract To solve the challenge of extracting nano- to micrometer-sized atmospheric particles from a mixed sample, we developed an electrostatic sieve system, the Fine Sieving of Collected Atmospheric Particles using Oil Electrophoresis (iSCAPE), based on the application of an electrostatic field to a non-conductive mineral oil. …”
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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

“…To achieve this, we introduce a PCA-augmented multi-layer heterogeneous graph-based network that concentrates on key features throughout the encoding-decoding phase. …”
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From print to perspective: A mixed-method analysis of the convergence and divergence of COVID-19 topics in newspapers and interviews. by Qingqing Chen, Andrew Crooks, Adam J Sullivan, Jennifer A Surtees, Laurene Tumiel-Berhalter

“…Employing a novel "big-thick" data approach, we analyze and compare key pandemic-related topics that have been disseminated to the public through newspapers with those collected from the public via interviews. …”
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Enabling LTE and WiFi Coexisting in 5 GHz for Efficient Spectrum Utilization by Hongyu Sun, Zhiyi Fang, Qun Liu, Zheng Lu, Ting Zhu

“…To further utilize the LASI method, we introduce the Conflict-Tolerant Channel Allocation (CTCA) algorithm to optimize the channel allocation and achieve more efficient spectrum utilization in 5 GHz. …”
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