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Reconceiving Safety Regulation For Ai And Ml Medical Software, Barbara J. Evans, Eric S. Rosenthal, Azra Bihorac Feb 2026

Reconceiving Safety Regulation For Ai And Ml Medical Software, Barbara J. Evans, Eric S. Rosenthal, Azra Bihorac

Vanderbilt Journal of Entertainment & Technology Law

This article explores the challenges of regulating AI and ML clinical decision support tools intended to assist trained health care professionals in delivering clinical care. Two old, twentieth-century regulatory models have dominated discussions of medical AI policy since 2013. Thinking inside these old regulatory boxes has not produced effective regulatory solutions to address the novel risks AI poses in clinical care. The first regulatory box treats software as a medical device, which tasks medical device regulators with making software safe but neglects the crucial roles physicians, nurses, administrators, medical practice regulators, and other health oversight bodies must also play to …

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Removed: When Taxi Drivers Meet Dynamic Pricing: A Lesson From Singapore's Justgrab Program, Shih-Fen Cheng, Wen-Tai Hsu, Jing Li Feb 2026

Removed: When Taxi Drivers Meet Dynamic Pricing: A Lesson From Singapore's Justgrab Program, Shih-Fen Cheng, Wen-Tai Hsu, Jing Li

Research Collection School Of Economics

This paper studies how dynamic pricing influences taxi drivers’ behaviors using a unique event, the inception of the JustGrab program in Singapore in 2017, which introduces dynamic pricing to some, but not all, taxi drivers. This is the first time in history that traditional taxi drivers have access to dynamic pricing. Using data covering the universe of taxi trips before and after the inception of JustGrab, we find that there is spatial reallocation that directs more taxi drivers to the previously less-served areas, that there is also a temporal reallocation that directs more taxi drivers to rush hours, as well …

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New Asymptotics Applied To Functional Coefficient Regression And Climate Sensitivity Analysis, Qiying Wang, Peter C. B. Phillips, Ying Wang Feb 2026

New Asymptotics Applied To Functional Coefficient Regression And Climate Sensitivity Analysis, Qiying Wang, Peter C. B. Phillips, Ying Wang

Research Collection School Of Economics

A general asymptotic theory is established for sample cross moments of nonstationary time series, allowing for long-range dependence and local unit roots. The theory provides a substantial extension of earlier results on nonparametric regression that include near-cointegrated nonparametric regression as well as spurious nonparametric regression. Many new models are covered by the limit theory, among which are functional coefficient regressions in which both regressors and the functional covariate are nonstationary. Simulations show finite sample performance matching well with the asymptotic theory and having broad relevance to applications, while revealing how dual nonstationarity in regressors and covariates raises sensitivity to bandwidth …

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Controlled Antibiotic Release From Emulsion-Loaded Alginate And Fibrin Hydrogels Using Ultrasound, Ziba Ghareh Nazi Fam, Asia Winslow, Mario Fabiilli, Sam Varghese, Brian Oeffinger, Flemming Forsberg, Noreen Hickok, Lauren Delaney Feb 2026

Controlled Antibiotic Release From Emulsion-Loaded Alginate And Fibrin Hydrogels Using Ultrasound, Ziba Ghareh Nazi Fam, Asia Winslow, Mario Fabiilli, Sam Varghese, Brian Oeffinger, Flemming Forsberg, Noreen Hickok, Lauren Delaney

Department of Radiology Faculty Papers

Postoperative infections remain a major complication after spinal fusion surgery, often caused by biofilm-forming bacteria that resist short-term antibiotic prophylaxis. Vancomycin (VAN) is sometimes delivered locally during surgery; however, levels diminish rapidly, leaving patients vulnerable to late-onset infections. We developed a composite hydrogel integrating perfluorohexane-based emulsions within alginate or fibrin matrices to enable both sustained and ultrasound-triggered VAN release. Water-in-oil-in-water emulsions were prepared using fluorosurfactant-stabilized perfluorohexane as the volatile oil phase, then embedded in hydrogels and exposed to ultrasound (2.5 MHz, 5.5 MPa peak negative pressure) to initiate acoustic droplet vaporization for triggered release. Drug release was quantified spectrophotometrically and …

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Final 2022 Unreclaimed Sites Sampling: Ur-06 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Feb 2026

Final 2022 Unreclaimed Sites Sampling: Ur-06 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Final 2022 Unreclaimed Sites Sampling: Ur-13 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Feb 2026

Final 2022 Unreclaimed Sites Sampling: Ur-13 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Xgboost-Powered Predictive Analytics For Early Identification Of Thermal Runaway In Lithium-Ion Batteries, Isslam Alhasan, Mohd H.S. Alrashdan Feb 2026

Xgboost-Powered Predictive Analytics For Early Identification Of Thermal Runaway In Lithium-Ion Batteries, Isslam Alhasan, Mohd H.S. Alrashdan

All Works

Lithium-ion batteries are pivotal in powering modern technology, from electric vehicles to portable electronics. However, their safety is challenged by the risk of thermal runaway, a critical failure mode leading to catastrophic consequences such as fires and explosions. This study presents a machine learning framework for the early detection of thermal runaway events using sensor data from over 210 open-source battery tests. The framework utilizes voltage, temperature, and force measurements from experimental mechanical indentation tests, with force data providing additional predictive value beyond standard BMS sensors. Key features such as the rate of temperature change and voltage change were engineered …

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2026 February - Tennessee Climate Snapshot, Tennessee Climate Office, East Tennessee State University Feb 2026

2026 February - Tennessee Climate Snapshot, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

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Final 2022 Unreclaimed Sites Sampling: Ur-12 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Feb 2026

Final 2022 Unreclaimed Sites Sampling: Ur-12 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Final 2022 Unreclaimed Sites Sampling: Ur-28 Site Evaluation Summary Reportfinal 2022 Unreclaimed Sites Sampling: Ur-28 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Feb 2026

Final 2022 Unreclaimed Sites Sampling: Ur-28 Site Evaluation Summary Reportfinal 2022 Unreclaimed Sites Sampling: Ur-28 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Hootation: A Gui And Api Library For Ontology Validation And Verbalization., Muhammad Amith, Xubing Hao, Warren Manuel, Manqi Li, Shun Rao, Kirk Roberts, Hua Xu, Yang Gong, Frank Manion, Cui Tao, Licong Cui Feb 2026

Hootation: A Gui And Api Library For Ontology Validation And Verbalization., Muhammad Amith, Xubing Hao, Warren Manuel, Manqi Li, Shun Rao, Kirk Roberts, Hua Xu, Yang Gong, Frank Manion, Cui Tao, Licong Cui

Faculty, Staff and Student Publications

Ontology verbalization refers to the process of translating formal axioms into natural language expressions. The primary objective is to facilitate the review and validation of ontology content by subject matter experts without requiring extensive technical expertise. While previous approaches based on templates or controlled grammar have been effective, they often face limitations in scalability, fluency, and adaptability. To address these issues, we developed Hootation, an open-source software system that supports ontology verbalization through both a graphical user interface and an API library. The tool implements rule-based translation of OWL2 axioms and further incorporates optional Large Language Model (LLM) components for …

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A Guide To Transcriptomic Deconvolution In Cancer, Yaoyi Dai, Shuai Guo, Yidan Pan, Carla Castignani, Matthew D Montierth, Peter Van Loo, Wenyi Wang Feb 2026

A Guide To Transcriptomic Deconvolution In Cancer, Yaoyi Dai, Shuai Guo, Yidan Pan, Carla Castignani, Matthew D Montierth, Peter Van Loo, Wenyi Wang

Faculty, Staff and Student Publications

Cancer tissues are heterogeneous mixtures of tumour, stromal and immune cells, where each component comprises multiple distinct cell types and/or states. Mapping this heterogeneity and understanding the unique contributions of each cell type to the tumour transcriptome is crucial for advancing cancer biology, yet high-throughput expression profiles from tumour tissues only represent combined signals from all cellular sources. Computational deconvolution of these mixed signals has emerged as a powerful approach to dissect both cellular composition and cell-type-specific expression patterns. Here, we provide a comprehensive guide to transcriptomic deconvolution, specifically tailored for cancer researchers, presenting a systematic framework for selecting and …

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Deep Learning Style Transfer For Enhanced Smoke Plume Visibility: A Standardized False Color Composite (Sfcc) In Gems Satellite Imagery, Yemin Jeong, Seung Hee Kim, Menas Kafatos, Jeong-Ah Yu, Kyoung-Hee Sung, Seung-Yeon Kim, Goo Kim, Jae-Jin Kim, Yangwon Lee Feb 2026

Deep Learning Style Transfer For Enhanced Smoke Plume Visibility: A Standardized False Color Composite (Sfcc) In Gems Satellite Imagery, Yemin Jeong, Seung Hee Kim, Menas Kafatos, Jeong-Ah Yu, Kyoung-Hee Sung, Seung-Yeon Kim, Goo Kim, Jae-Jin Kim, Yangwon Lee

Institute for ECHO Articles and Research

Wildfire smoke visualization using geostationary satellite imagery is essential for real-time monitoring and atmospheric analysis; however, inconsistencies in color tone across Geostationary Environment Monitoring Spectrometer (GEMS) images hinder reliable interpretation and model training. This study proposes a Standardized False Color Composite (SFCC) framework based on deep learning style transfer to enhance the visual consistency and interpretability of wildfire smoke scenes. Four tone-standardization methods were compared: the statistical Empirical Cumulative Distribution Function (ECDF) correction and three neural approaches—ReHistoGAN, StyTr2, and Style Injection Diffusion Model (SI-DM). Each model was evaluated visually and quantitatively using six metrics (SSIM, LPIPS, FID, histogram similarity, ArtFID, …

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Belknap And Carroll Counties 4-H Presents Event Packet 2026, Mikayla Cerney Feb 2026

Belknap And Carroll Counties 4-H Presents Event Packet 2026, Mikayla Cerney

UNH Cooperative Extension

No abstract provided.

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Efficient Privacy-Preserving Conjunctive Searchable Encryption For Cloud-Iot Healthcare Systems, Jiadi Ma, Tianqi Peng, Gong Bei, Muhammad Waqas, Hisham Alasmary, Sheng Chen Feb 2026

Efficient Privacy-Preserving Conjunctive Searchable Encryption For Cloud-Iot Healthcare Systems, Jiadi Ma, Tianqi Peng, Gong Bei, Muhammad Waqas, Hisham Alasmary, Sheng Chen

Research outputs 2022 to 2026

In cloud-Internet of Things (IoT) healthcare systems, private medical data leakage is a serious concern as the cloud server is not fully trusted. Dynamic searchable symmetric encryption (DSSE), with necessary forward and backward privacy security properties, enables doctors to retrieve ciphertexts while guaranteeing data privacy. However, existing forward and backward private DSSE schemes are not well-suited for cloud-IoT healthcare systems with attribute-value type databases. To this end, we propose an efficient privacy-preserving conjunctive searchable encryption scheme for cloud-IoT healthcare systems, called PC-SE. It is the first conjunctive DSSE scheme designed for attribute-value type databases. Specifically, we design flexible search capabilities …

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Novel Buxus Papillosa-Assisted Green Synthesis Of Copper And Nickel Oxide Nanoparticles With Enhanced Catalytic Degradation Of Alizarin Red S Dye, Afrah Zahid, Warda Hassan, Syed Awais Ali, Zahoor Ullah, Mohammad Younas, Syed Nasir Shah, Ali Fatehizadeh, Mashallah Rezakazemi Feb 2026

Novel Buxus Papillosa-Assisted Green Synthesis Of Copper And Nickel Oxide Nanoparticles With Enhanced Catalytic Degradation Of Alizarin Red S Dye, Afrah Zahid, Warda Hassan, Syed Awais Ali, Zahoor Ullah, Mohammad Younas, Syed Nasir Shah, Ali Fatehizadeh, Mashallah Rezakazemi

Research outputs 2022 to 2026

In this work, the biogenic synthesis route using the leaf extract of Buxus papillosa was employed for the green synthesis of copper oxide (CuO) and nickel oxide (NiO) nanoparticles (NPs), which were then applied for the catalytic degradation of Alizarin Red S dye (ARS) as a model organic pollutant. Scanning electron microscopy (SEM) analysis confirmed spherical and rod-like morphologies for CuO and NiO NPs, respectively, while Energy dispersive spectroscopy (EDS) verified their elemental composition. The average crystallite sizes of CuO and NiO NPs were 6.21 and 5.94 nm, respectively, as determined by X-ray diffraction (XRD), and their optical band gaps …

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Performance And Mechanistic Insights Into Cement Systems Modified With Wastewater-Recovered Struvite, Ugochukwu Ewuzie, Rupack R. Halder, Abdulkareem O. Yusuf, Abiodun A. Saka, Godwin I. Ogbuehi, Titus C. Egbosiuba, Damilola A. Daramola, Monday Uchenna Okoronkwo Feb 2026

Performance And Mechanistic Insights Into Cement Systems Modified With Wastewater-Recovered Struvite, Ugochukwu Ewuzie, Rupack R. Halder, Abdulkareem O. Yusuf, Abiodun A. Saka, Godwin I. Ogbuehi, Titus C. Egbosiuba, Damilola A. Daramola, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Struvite, the stable hydration product and primary strength phase in magnesium ammonium phosphate cement (MAPC), derived from wastewater treatment, has recently been utilized as a sustainable additive to Portland cement (PC). However, its impacts on cement hydration kinetics, pore refinement, rheology, and the mechanisms underlying these processes have not been comprehensively studied. This study developed Portland cement-struvite (PCS) systems by replacing PC with 3–20 % struvite (ST wt.%: PCS3–PCS20) and evaluated these processes using isothermal calorimetry, 3D micro-computed tomography (μXCT), time-dependent rheometry, X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR), and the Krstulović-Dabić (K-D) model. The FTIR/XRD confirmed the coexistence …

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Nanocatalytic Enhancement Of Local Heat Transfer In Continuous-Flow Thermal Reactors, Nasser Zouli, Nujud Maslamani, Ayman Yousef, Muthanna H. Al-Dahhan Feb 2026

Nanocatalytic Enhancement Of Local Heat Transfer In Continuous-Flow Thermal Reactors, Nasser Zouli, Nujud Maslamani, Ayman Yousef, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

An experimental investigation was conducted to evaluate the thermal conductivity (TC) and local heat-transfer coefficients (LHTCs) of nanofluids containing alumina (Al2O3), hematite (Fe2O3), and copper oxide (CuO) nanoparticles dispersed in deionized water. A newly developed non-invasive LHTC probe was integrated into the inner wall of the test section to enable direct quantification of interfacial heat-transfer performance. The measurements were conducted under laminar and turbulent flow conditons across Reynolds numbers ranging from 1000 to 10,000. The selected nanoparticles were chosen based on their high intrinsic thermal conductivity, cost effectiveness, and, in the case …

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Efficient Bilateral Trade With Interdependent Values: The Use Of Two-Stage Mechanisms, Takashi Kunimoto, Cuiling Zhang Feb 2026

Efficient Bilateral Trade With Interdependent Values: The Use Of Two-Stage Mechanisms, Takashi Kunimoto, Cuiling Zhang

Research Collection School Of Economics

Efficient, voluntary bilateral trades are generally not implementable in an interdependent values environment with two-sided asymmetric information. To obtain more positive results, we consider two-stage mechanisms in which (i) the outcome (e.g., allocation of the goods) is determined first; (ii) the agents partially learn the state via their own outcome-decision payoffs; and (iii) transfers are finally made. We propose the approximate shoot-the-liar (AS) mechanism and identify Assumption 1, under which “approximately” efficient, voluntary trades are implementable. We further illustrate the permissiveness of the assumption, and characterize it in terms of the nature of interdependence in valuation functions – delineating the …

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Corrigendum To “Interim Rationalizable Implementation Of Functions” (Kunimoto T, Saran R, Serrano R (2024) Mathematics Of Operations Research 49(3):1791–1824), Takashi Kunimoto, Rene Saran, Roberto Serrano Feb 2026

Corrigendum To “Interim Rationalizable Implementation Of Functions” (Kunimoto T, Saran R, Serrano R (2024) Mathematics Of Operations Research 49(3):1791–1824), Takashi Kunimoto, Rene Saran, Roberto Serrano

Research Collection School Of Economics

This is the brief corrigendum to “Interim rationalizable implementation of functions” [Kunimoto T, Saran R, Serrano R (2024) Interim rationalizable implementation of functions. Math. Oper Res. 49(3):1791–1824].

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A Hydrogen Hub Blueprint For The California Supply Chain, Tyler Reeb, Barbara Taylor Feb 2026

A Hydrogen Hub Blueprint For The California Supply Chain, Tyler Reeb, Barbara Taylor

Mineta Transportation Institute

As global climate targets tighten and state regulations accelerate, hydrogen technology presents a significant opportunity to help California supply chain and transportation stakeholders comply with state emissions mandates and global goals aimed to reduce the impacts of climate change. However, while fuel cell costs and infrastructure have received attention, workforce development remains overlooked. Hydrogen fuel cell electric vehicles (FCEVs) are especially promising for diesel-reliant sectors that are hard to decarbonize without negatively impacting operational efficiency. But scaling hydrogen vehicles and infrastructure in tandem with emerging consumer and industrial markets will not be easy. State and federal policies, often conflicting, further …

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Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 32 – Corra 2 Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc. Feb 2026

Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 32 – Corra 2 Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Final 2022 Unreclaimed Sites Sampling: Ur-20 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Feb 2026

Final 2022 Unreclaimed Sites Sampling: Ur-20 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 37 – Josephine Shaft Site Evaluation Summary Report, Pioneer Technical Services, Inc. Feb 2026

Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 37 – Josephine Shaft Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Grounding Is All You Need? Dual Temporal Grounding For Video Dialog, You Qin, Wei Ji, Xinze Lan, Hao Fei, Xun Yang, Dan Guo, Roger Zimmermann, Lizi Liao Feb 2026

Grounding Is All You Need? Dual Temporal Grounding For Video Dialog, You Qin, Wei Ji, Xinze Lan, Hao Fei, Xun Yang, Dan Guo, Roger Zimmermann, Lizi Liao

Research Collection School Of Computing and Information Systems

In the realm of video dialog response generation, capturing both the essence of video content and the temporal nuances of conversation history is crucial. While some approaches rely on large-scale pretrained visual-language models, often neglecting temporal dynamics, others emphasize spatial-temporal relationships within videos but demand intricate object trajectory pre-extractions and overlook dialog temporal dynamics. This paper introduces the Dual Temporal Grounding-enhanced Video Dialog model (DTGVD), designed to bridge the gap between these two approaches. DTGVD uniquely integrates the strengths of both by emphasizing dual temporal relationships. It achieves this by predicting dialog turn-specific temporal regions, selectively filtering video content, and …

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Learnable Game-Theoretic Policy Optimization For Data-Centric Self-Explanation Rationalization, Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li Feb 2026

Learnable Game-Theoretic Policy Optimization For Data-Centric Self-Explanation Rationalization, Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li

Research Collection School Of Computing and Information Systems

Rationalization, a data-centric framework, aims to build self-explanatory models to explain the prediction outcome by generating a subset of human-intelligible pieces of the input data. It involves a cooperative game model where a generator generates the most human-intelligible parts of the input (i.e., rationales), followed by a predictor that makes predictions based on these generated rationales. Conventional rationalization methods typically impose constraints via regularization terms to calibrate or penalize undesired generation. However, these methods are suffering from a problem called mode collapse, in which the predictor produces correct predictions yet the generator consistently outputs rationales with collapsed patterns. Moreover, existing …

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The Gains Do Not Make Up For The Losses: A Comprehensive Evaluation For Safety Alignment Of Large Language Models Via Machine Unlearning, Weixiang Zhao, Yulin Hu, Xingyu Sui, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che Feb 2026

The Gains Do Not Make Up For The Losses: A Comprehensive Evaluation For Safety Alignment Of Large Language Models Via Machine Unlearning, Weixiang Zhao, Yulin Hu, Xingyu Sui, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che

Research Collection School Of Computing and Information Systems

Machine Unlearning (MU) has emerged as a promising technique for aligning large language models (LLMs) with safety requirements to steer them forgetting specific harmful contents. Despite the significant progress in previous studies, we argue that the current evaluation criteria, which solely focus on safety evaluation, are actually impractical and biased, leading to concerns about the true effectiveness of MU techniques. To address this, we propose to comprehensively evaluate LLMs after MU from three aspects: safety, over-safety, and general utility. Specifically, a novel benchmark MuBench with 18 related datasets is first constructed, where the safety is measured with both vanilla harmful …

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2026 February, Morehead State University. Office Of Communications & Marketing. Feb 2026

2026 February, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for February of 2026.

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Vercation: Precise Vulnerable Open-Source Software Version Identification Based On Static Analysis And Llm, Yiran Cheng, Ting Zhang, Lwin Khin Shar, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun Feb 2026

Vercation: Precise Vulnerable Open-Source Software Version Identification Based On Static Analysis And Llm, Yiran Cheng, Ting Zhang, Lwin Khin Shar, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun

Research Collection School Of Computing and Information Systems

Open-source software (OSS) has experienced a surge in popularity, attributed to its collaborative development model and cost-effective nature. However, the adoption of specific software versions in development projects may introduce security risks when these versions bring along vulnerabilities. Current methods of identifying vulnerable versions typically analyze and extract the code features involved in vulnerability patches using static analysis with pre-defined rules. They then use code clone detection to identify the vulnerable versions. These methods are hindered by imprecision due to (1) the exclusion of vulnerability- irrelevant code in the analysis and (2) the inadequacy of code clone detection. This paper …

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The Feelit System: Application Content-Aware Perspectives And Challenges On Understanding User Likes In Social Network Posts, Konstantinos Theocharidis, Hady W. Lauw, Panagiotis Karras Feb 2026

The Feelit System: Application Content-Aware Perspectives And Challenges On Understanding User Likes In Social Network Posts, Konstantinos Theocharidis, Hady W. Lauw, Panagiotis Karras

Research Collection School Of Computing and Information Systems

In a series of our prior works, we study influence and subscription maximization problems in social networks that are based on posts having influential content; as content we consider a set of features where each feature corresponds to a specific social network page, whereas influence and subscription relate to gaining the postlike and subscription-to-brand page of targeted users, respectively; subscription is conceptually achieved as repetitive influence on users. So, both influence and subscription depend on content that gains the likes of users; however, to be realistic, modeling and estimating such likes is a complex problem that has not been adequately …

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