Digital Commons Network^™

Screening And Addressing Food Insecurity At Free Clinics: A Scoping Review, Gautam Ramanathan, William Zak, Daiwik Munjwani, Robert Fisher, Esther May Sarino, Mary J. Scourboutakos

Department of Medicine Faculty Publications

Food insecurity (FI) is highly prevalent amongst patients seeking care at free, student-run health clinics. This study sought to examine the existing literature of food insecurity screenings and interventions at free clinics across the U.S. In this review, we provide the rate of FI screenings, the prevalence of FI, demographic information of patients screened, and interventions and barriers faced by clinics while implementing interventions to improve FI. Studies included in this review needed to implement a FI screening and intervention program in a free clinic within the United States. Additionally, eligible studies could address additional social determinants of health or …

Role Of Device Therapy In Complementing Contemporary Medical Management, Yoel Benarroch, Natalie Tapaskar, Amin Yehya

Department of Medicine Faculty Publications

Heart failure (HF) is a clinical syndrome characterized by signs and symptoms resulting from any structural or functional deficiency of ventricular filling or blood ejection. The mainstay of initial treatment remains lifestyle modifications, guideline-directed medical therapy, and addressing contributing factors. However, the past two decades have come with significant advances in device therapies to improve morbidity and mortality in HF despite evidence-based management as above. Given the rapidly evolving area of HF research and therapeutic development, it is important for clinicians to be familiar with novel therapies and how they can complement medical management. In this review we discuss the …

Percutaneous Closure Of A Left Ventricular Pseudoaneurysm Using A Post-Infarct Vsd Device Guided By Intracardiac Echocardiography, Omar Jafar, Nicholas Valle, Rupinder Bahniwal, Matthew Summers

Department of Medicine Faculty Publications

Left ventricular pseudoaneurysm (LVPA) is a rare, life-threatening complication that may arise after cardiac surgery, myocardial infarctions, or infective endocarditis. We present a case of a 55-year-old woman with complex surgical history and prior infective endocarditis who developed an incidental LVPA. Due to lack of surgical repair options, a percutaneous approach was pursued using a post-infarct ventricular septal defect device (PIVSD) under guidance of fluoroscopy and intracardiac echocardiography (ICE) guidance with successful exclusion of LVPA. This case highlights the utility of multimodal imaging in the percutaneous management of complex left ventricular lesions.

Cardiomyopathies Of Endocrine Origin: A State-Of-The-Art Review, Jenyfer M. Fuentes-Mendoza, Marcio J. Concepción-Zavaleta, Juan C. Morón-Siguas, Juan M. Muñoz-Moreno, Aranza I. Pérez-Reyes, Rodrigo Martinez-Galaviz, Raúl D. Aguilar-Castañeda, Oziel González-Godoy, Luis A. Concepción-Urteaga, José Paz-Ibarra

Department of Medicine Faculty Publications

Endocrine disorders are increasingly recognized as potentially reversible causes of secondary cardiomyopathies, yet they often remain underdiagnosed in clinical practice. These conditions-including thyroid dysfunction, acromegaly, pheochromocytoma, diabetes mellitus, adrenal disorders, among others-can significantly alter cardiac structure and function through hormonal excess, metabolic remodeling, and neurohumoral activation. Hyperthyroidism may lead to high-output heart failure (HF) and atrial fibrillation, while hypothyroidism is associated with diastolic dysfunction, pericardial effusion, and accelerated atherosclerosis. Acromegaly promotes biventricular hypertrophy and myocardial fibrosis via insulin-like growth factor 1 overproduction. Pheochromocytoma triggers catecholamine-induced cardiomyopathy, resembling Takotsubo syndrome and carrying a high risk of mortality if left untreated. Diabetes …

Fibrinolysis For Apical Thrombus As A Bridge To Emergent Valve-In-Valve Transcatheter Aortic Valve Replacement, Nicholas J. Valle, Omar A. Saleh, Mani C. Akunuri, Parth K. Parikh, Joshua A. Cohen, Deepak R. Talreja, Matthew R. Summers

Department of Medicine Faculty Publications

Background

Left ventricular (LV) thrombus is traditionally a contraindication to transcatheter aortic valve replacement due to embolic risk. Consequently, management of valvular cardiogenic shock complicated by LV thrombus identifies unique challenges that require innovative strategies.

Case Summary

A 58-year-old woman with critical bioprosthetic aortic stenosis, cardiogenic shock, and large LV thrombus (2.8 × 2.6 cm) underwent successful valve-in-valve transcatheter aortic valve replacement after systemic fibrinolysis bridge therapy.

Why Beyond the Guidelines

Current guidelines contraindicate transcatheter aortic valve replacement in patients with LV thrombus. This case demonstrates the novel use of low-dose, slow infusion tissue plasminogen activator as a bridge therapy …

Oral Anticoagulation Versus No Anticoagulation After Spontaneous Intracranial Hemorrhage In Patients With Atrial Fibrillation: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials, Prathik Saravanan, Vaibhav Vats, Abouchita Rimane, Shrishti Agarwal, Srinidhi Kondepudi, Mathew Reji, Batoul Taqi, Naser Ashraf Tadvi, Preeti Elizabeth Jossy, Anjana Kumaram Kunnel Sabu, Asma's Munasar Ali Alsubari, Ranjit Sah, Hira Sarfraz, Muhammad Usman Khan, Abdullah Wahab Arif

Department of Medicine Faculty Publications

The decision to resume oral anticoagulation (OAC) in patients with atrial fibrillation (AF) after an intracranial hemorrhage (ICH) remains a significant clinical challenge due to competing risks of ischemic stroke and recurrent bleeding. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) comparing long-term OAC with no OAC in patients with AF following an ICH. We searched MEDLINE, Embase, CENTRAL, and ClinicalTrials.gov through September 2025. The primary outcomes were ischemic stroke and ICH. Secondary outcomes included major adverse cardiovascular events (MACE), major bleeding, cardiovascular mortality, and all-cause mortality. Risk ratios (RRs) with 95% confidence intervals (CIs) were …

Blunt Trauma Causing Thrombotic Occlusive Myocardial Infarction, Jace Bradshaw, Alleabelle Bradshaw, Rishab Agarwal, P. Logan Weygandt

Department of Medicine Faculty Publications

Introduction: Traumatic myocardial infarction (TMI) is a rare but serious complication of blunt chest trauma, typically arising from coronary artery dissection, intramural hematoma, or myocardial contusion. Early recognition and intervention are critical, but diagnosis can be challenging given the broad differential for chest pain in trauma patients.

Case presentation: A 66-year-old female presented to a quaternary academic emergency department after a motor vehicle collision with progressive chest pain. Initial electrocardiogram (ECG) showed hyperacute T-waves in lead III, ST depression with T-wave inversion in aVL, and ST depression in V2, with posterior leads revealing ST elevation in V7–V9. Trauma imaging ruled …

Annual Report Of The Town Dalton, Nh, December 31, 2024, Dalton Town Representatives

Dalton, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Outcomes In Pediatric Cholesteatoma, Michael S Cohen, David H Chi, Samantha Anne

Faculty, Staff and Students Publications

OBJECTIVE: The objective of the study is to evaluate the outcomes of surgical management options for cholesteatoma using a national database.

STUDY DESIGN: Database analysis of the Pediatric Health Information System database to identify children undergoing surgical intervention for cholesteatoma from October 2015 to December 2022.

METHODS: Patients were categorized by initial surgical modality: tympanoplasty (TM), tympanoplasty with canal wall-up tympanomastoidectomy (TM-CWU), and tympanoplasty with canal wall-down tympanomastoidectomy (TM-CWD). Group comparisons were done on number of surgical revisions and number of patients identified with recommendations for hearing aids.

RESULTS: A total of 6304 patients were identified in the database who …

Trust, Trust Repair, And Public Health: A Scoping Review, Peter Kalulu, Aubrey Fisher, Grace Whitter, Ipek Sener, Michelle Doering, David B Carter, Matthew Gabel, Jimin Ding, Michael Esposito, Caitlin L Mcmurtry, Pradeep Sopory, Mark D Huffman

2020-Current year OA Pubs

OBJECTIVE: This study investigates the scope of evidence on trust, trust repair, and public health.

METHODS: We identified quantitative studies that evaluated the relationship between trust or trust repair and public health from January 1990 to May 2023. Results were stratified evaluating trust as an exposure or outcome and reporting on trust repair. Data are reported on spatiotemporal trends in publications, level of trust (institutional trust, generalized trust, and interpersonal trust), types of trust measures used, objects and determinants of trust, and associations between trust and public health behaviors.

RESULTS: Among 194 included studies, most (86%, 166/194) were published after …

Who Benefits? Health Equity And The Translational Science Benefits Model, Anna La Manna, Julie Heidbreder, Shannon Casey, Kat Phelps, Mia Labrier, Laura Brossart, Ella Clark, Emmanuel Tetteh, Sara Malone, Douglas A Luke, Todd Combs

2020-Current year OA Pubs

INTRODUCTION: Cantú syndrome (CS) is a rare genetic disorder caused by gain-of-function (GOF) mutations in the

METHODS: We investigated the effects of CS-associated KATP channel overactivity on epithelial barrier integrity and tight junction (TJ) proteins using murine models. Heterozygous (SUR2

RESULTS: GOF mutations in KATP channels caused significant dysregulation of TJ proteins. Occludin expression was increased in SUR2

DISCUSSION: Our findings demonstrate that CS-associated KATP channel GOF mutations disrupt tight junction dynamics and induces structural remodeling of the colon. This establishes a novel link between KATP channel dysregulation, metabolic-epithelial interactions, and intestinal pathophysiology in CS. Furthermore, the results highlight potential …

Abdominal Versus Femoral Subcutaneous Fat Gene Expression In Non-Obese Insulin Resistant Individuals, Saif Badran, Shamma Almuraikhy, Maha Alser, Khaled Naja, Najeha Anwardeen, Hanan H Abunada, Mohamed Badie Ahmed, Salma Jarrar, Ghanem Aljassem, Sara Iskeirjeh, Atalla Hammouda, Suhail A Doi, Layla Al-Mansoori, Mohamed A Elrayess

2020-Current year OA Pubs

INTRODUCTION: Adipose tissue, once viewed primarily as an energy reservoir, is now recognized as an endocrine organ involved in various physiological functions, including energy balance and immune responses. Interestingly, recent insights suggest that not all overweight or obese individuals exhibit insulin resistance, guiding the focus towards depot-specific adipose gene expression and its metabolic implications. This pilot study investigates adipose depot-specific differences in gene expression in abdominal versus femoral subcutaneous adipose tissue (SAT) among non-obese, insulin-sensitive (IS) and insulin-resistant (IR) individuals, aiming to elucidate underlying mechanisms of metabolic dysfunction.

METHODS: Seventeen non-obese participants scheduled for body contouring surgery provided paired SAT …

Il-7: A Potential Next-Generation Adjuvant For Immune Cell Therapies, Richard S Hotchkiss, John F Dipersio, Cassian Yee, Russell K Pachynski, Marcel R M Van Den Brink

2020-Current year OA Pubs

Cell-based immune therapies ranging from CAR-T cells to tumor infiltrating lymphocytes (TILs) and endogenous T-cell products, have produced unprecedented clinical responses in hematologic malignancies and are currently under active investigation for solid tumors. Nevertheless, several key challenges continue to limit the durability and breadth of clinical benefit. IL-7 is a pleiotropic cytokine that increases both the number and function of lymphocytes. Although not yet clinically approved, IL-7 has been used in over 620 adult and pediatric patients for a variety of reasons including, for example, to hasten bone marrow recovery after allogenic stem cell transplantation, to reverse lymphopenia due to …

Examining Associations Among Daily Discrimination, Psychosocial Risk Factors, And Pain Outcomes In People With Chronic Low Back Pain, Joanna M Hobson, Matthew C Morris, Robert E Sorge, D Leann Long, Tammie Quinn, Demario S Overstreet, Asia M Wiggins, Eeshaan K Bajaj, Jonas G Dembowski, Edwin N Aroke, Burel R Goodin, Calia A Torres

2020-Current year OA Pubs

INTRODUCTION: Substantial evidence suggests that experiences of discrimination negatively influence sleep, depressive symptoms, stress, and pain. The purpose of this study was to evaluate the strength of the associations between discrimination and pain, and to determine which psychosocial risk factors help explain these associations.

METHODS: Participants (

RESULTS: Majority of the participants self-identified as women (55.3%), and Black (62%). There were positive associations between discrimination and insomnia (

DISCUSSION: Our findings highlight the harmful associations between discrimination, mental health outcomes, pain severity, and reduced quality of life. Additionally, these findings emphasize the need for more stress engaged research to continue …

Associations Between Microaggressions, Depression, Anxiety, And Alcohol Use Among Black Young Adults: Findings From A Pilot Study, Patricia A Cavazos-Rehg, Xiao Li, Layna Paraboschi, Lucy Meigs, Erin Kasson, Hannah S Szlyk, Janiene E Peoples, Devin E Banks, Alex T Ramsey, Nicholas C Jacobson, Carolyn E Sartor

2020-Current year OA Pubs

OBJECTIVE: This pilot study, which was designed to inform mobile health intervention development, assessed the frequency of various microaggressions and explored associations among microaggressions, alcohol use, depression, and anxiety in Black young adults.

METHODS: Ninety-two Black adults (mean age = 22.2 [SD = 1.9]) who regularly consume alcohol were recruited through social media to complete a survey on microaggressions, depression, anxiety, and alcohol use. Microaggression frequencies were calculated and a Cochran-Mantel-Haenszel test was used to model interrelationships among microaggressions, depression, and anxiety with respect to binge drinking.

RESULTS: Past-30-day microaggression experiences were reported by 82.6% of participants. Stratified analyses signaled …

Deep Reinforcement Learning With Explicit Context Representation, Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji

Research Collection School Of Computing and Information Systems

Though reinforcement learning (RL) has shown an outstanding capability for solving complex computational problems, most RL algorithms lack an explicit method that would allow learning from contextual information. On the other hand, humans often use context to identify patterns and relations among elements in the environment, along with how to avoid making wrong actions. However, what may seem like an obviously wrong decision from a human perspective could take hundreds of steps for an RL agent to learn to avoid. This article proposes a framework for discrete environments called Iota explicit context representation (IECR). The framework involves representing each state …

Last Digit Tendency: Lucky Number And Psychological Rounding In Mobile Transactions, Hai Wang, Tian Lu, Yingjie Zhang, Yue Wu, Yiheng Sun, Jingran Dong, Wen Huang

Research Collection School Of Computing and Information Systems

The distribution of digits in numbers obtained from different sources reveals interesting patterns. The well-known Benford’s law states that the first digits in many real-life numerical data sets have an asymmetric, logarithmic distribution in which small digits are more common; this asymmetry diminishes for subsequent digits, and the last digit tends to be uniformly distributed. In this paper, we investigate the digit distribution of numbers in a large mobile transaction data set with 835 million mobile transactions and payments made by approximately 460,000 users in more than 300 cities. Although the first digits of the numbers in these mobile transactions …

Flowing Together Or Alone: Impact Of Collaboration In The Metaverse, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Langtao Chen

Research Collection School Of Computing and Information Systems

The metaverse is the next-generation Internet (Web3) that facilitates social connections and collaborations in a virtual world environment. Given the potential of the metaverse to provide more satisfying and effective means of remote collaborations, exploring the possibility of leveraging the metaverse for these endeavors is warranted. Therefore, an important question to address is whether greater engagement occurs when tasks are completed collaboratively versus individually in the metaverse. We address this question by drawing on flow and transportation theories to hypothesize the effect of carrying out a creative task in the metaverse collaboratively versus alone on one's cognitive absorption, a contextually …

Marrying Top-K With Skyline Queries: Operators With Relaxed Preference Input And Controllable Output Size, Kyriakos Mouratidis, Keming Li, Bo Tang

Research Collection School Of Computing and Information Systems

The two most common paradigms to identify records of preference in a multi-objective setting rely either on dominance (e.g., the skyline operator) or on a utility function defined over the records' attributes (typically, using a top-k query). Despite their proliferation, each of them has its own palpable drawbacks. Motivated by these drawbacks, we identify three hard requirements for practical decision support, namely, personalization, controllable output size, and flexibility in preference specification. With these requirements as a guide, we combine elements from both paradigms and propose two new operators, ORD and ORU. We perform a qualitative study to demonstrate how they …

Bi-Objective Dynamic Tugboat Scheduling With Speed Optimization Under Stochastic And Time-Varying Service Demands, Xiaoyang Wei, Hoong Chuin Lau, Zhe Xiao, Xiuju Fu, Xiaocai Zhang, Zheng Qin

Research Collection School Of Computing and Information Systems

With the growing emphasis on green shipping to reduce the environmental impact of maritime transportation, optimizing fuel consumption with maintaining high service quality has become critical in port operations. Ports are essential nodes in global supply chains, where tugboats play a pivotal role in the safe and efficient maneuvering of ships within constrained environments. However, existing literature lacks approaches that address tugboat scheduling under realistic operational conditions. To fill the research gap, this is the first work to propose the bi-objective dynamic tugboat scheduling problem that optimizes speed under stochastic and time-varying demands, aiming to minimize fuel consumption and manage …

Non-Targeted Analysis And Suspect Screening Of Organic Contaminants In Temperature Snowfall Using Liquid Chromatography High-Resolution Mass Spectrometry, Stephanie Nino-Suastegui, Eve Painter, Jameson Sprankle, Jillian Morrison, Jennifer Faust, Rebekah Gray

All Faculty Articles

Contaminants released into the atmosphere that undergo regional and long-range transport can deposit back to Earth through snowfall. When snow melts, these contaminants re-enter the environment, sometimes far from their original emission sources. Here we present the first comprehensive characterization of organic contaminants in snow from North America. Fresh snowfall samples were collected in the central United States over a three-year period and measured by liquid chromatography high-resolution mass spectrometry for suspect screening and non-targeted analysis. The resulting data set was screened against experimental MS/MS libraries and underwent supplemental in silico MS/MS analysis. In total, 91 possible compounds were tentatively …

A Theoretical Study On The Environmental Oxidation Of Fenpyrazamine Fungicide Initiated By Hydroxyl Radicals In The Aqueous Phase, Hisham K. Al Rawas, Dinh Hieu Truong, Emma Schell, Jennifer Faust, Sonia Taamalli, Marc Ribaucour, Abderrahman El Bakali, Nissrin Alharzali, Duy Quang Dao, Florent Louis

All Faculty Articles

Fenpyrazamine (FPA) is a widely used fungicide in agriculture to control fungal diseases, but its environmental degradation by oxidants and the formation of potential degradation products remain unexplored. This study investigates the oxidation of FPA by hydroxyl radicals (HO˙) using density functional theory (DFT) calculations at the M06-2X/6-311++G(3df,3pd)//M06-2X/6-31+G(d,p) level of theory. Three standard oxidation mechanisms, including formal hydrogen transfer (FHT), radical adduct formation (RAF), and single electron transfer (SET), were evaluated in the aqueous phase, with reaction kinetics analyzed over a temperature range of 283–333 K. As a result, the reactivity order of the mechanisms was determined to be RAF …

Fuzzing Drones For Anomaly Detection: A Systematic Literature Review, Vikas Kumar Malviya, Wei Minn, Lwin Khin Shar, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Drones, also referred to as Unmanned Aerial Vehicles (UAVs), are becoming popular today due to their uses in different fields and recent technological advancements which provide easy control of UAVs via mobile apps. However, UAVs may contain vulnerabilities or software bugs that cause serious safety and security concerns. For example, the communication protocol used by the UAV may contain authentication and authorization vulnerabilities, which may be exploited by attackers to gain remote access over the UAV. Drones must therefore undergo extensive testing before being released or deployed to identify and fix any software bugs or security vulnerabilities. Fuzzing is one …

Measuring Model Alignment For Code Clone Detection Using Causal Interpretation, Shamsa Abid, Xuemeng Cai, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Deep Neural Network-based models have demonstrated high accuracy for semantic code clone detection. However, the lack of generalization poses a threat to the trustworthiness and reliability of these models. Furthermore, the black-box nature of these models makes interpreting the model’s decisions very challenging. Currently, there is only a limited understanding of the semantic code clone detection behavior of existing models. There is a lack of transparency in understanding how a model identifies semantic code clones and the exact code components influencing its prediction. In this paper, we introduce the use of a causal interpretation framework based on the Neyman-Rubin causal …

A Review Of Chinese Sentiment Analysis: Subjects, Methods, And Trends, Zhaoxia Wang, Donghao Huang, Jingfeng Cui, Xinyue Zhang, Seng-Beng Ho, Erik Cambria

Research Collection School Of Computing and Information Systems

Sentiment analysis has emerged as a prominent research domain within the realm of natural language processing, garnering increasing attention and a growing body of literature. While numerous literature reviews have examined sentiment analysis techniques, methods, topics and applications, there remains a gap in the literature concerning thematic trends and research methodologies in sentiment analysis, particularly in the context of Chinese text. This study addresses this gap by presenting a comprehensive survey dedicated to the progression of research subjects, methods and trends in sentiment analysis of Chinese text. Employing a framework that combines keyword co-occurrence analysis with a sophisticated community detection …

Performance Evaluation Of Newsql Databases In A Distributed Architecture, Zhiyao Zhang, Alan @ Ali Madjelisi Megargel, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

In the last decade, application architectures have evolved drastically, moving from monolithic architectures to distributed architectures where deployment has shifted from dedicated on-premises servers to the cloud. Distributed architectures and cloud computing has enabled businesses to scale their application components across different geographical locations. While it is easy to scale the application layer, scaling its database layer that relies on traditional SQL databases is challenging and often is a common source of bottlenecks when it comes to application performance. This paper evaluates the performance characteristics between two NewSQL databases solutions, MySQL NDB Cluster vs. TIBCO ActiveSpaces IMDG. Serving as an …

Llms-Based Augmentation For Domain Adaptation In Long-Tailed Food Datasets, Qing Wang, Chong-Wah Ngo, Ee-Peng Lim, Qianru Sun

Research Collection School Of Computing and Information Systems

Training a model for food recognition is challenging because the training samples, which are typically crawled from the Internet, are visually different from the pictures captured by users in the free-living environment. In addition to this domain-shift problem, the real-world food datasets tend to be long-tailed distributed and some dishes of different categories exhibit subtle variations that are difficult to distinguish visually. In this paper, we present a framework empowered with large language models (LLMs) to address these challenges in food recognition. We first leverage LLMs to parse food images to generate food titles and ingredients. Then, we project the …

Demo2test: Transfer Testing Of Agent In Competitive Environment With Failure Demonstrations, Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Dandan Wang, Qing Wang, Fanjiang Xu

Research Collection School Of Computing and Information Systems

The competitive game between agents exists in many critical applications, such as military unmanned aerial vehicles. It is urgent to test these agents to reduce the significant losses caused by their failures. Existing studies mainly are to construct a testing agent that competes with the target agent to induce its failures. These approaches usually focus on a single task, requiring much more time for multi-task testing. However, if the previously tested tasks (source tasks) and the task to be tested (target task) share similar agents or task objectives, the transferable knowledge in source tasks can potentially increase the effectiveness of …

Neuron Semantic-Guided Test Generation For Deep Neural Networks Fuzzing, Li Huang, Weifeng Sun, Meng Yan, Zhongxin Liu, Yan Lei, David Lo

Research Collection School Of Computing and Information Systems

In recent years, significant progress has been made in testing methods for deep neural networks (DNNs) to ensure their correctness and robustness. Coverage-guided criteria, such as neuron-wise, layer-wise, and path-/trace-wise, have been proposed for DNN fuzzing. However, existing coverage-based criteria encounter performance bottlenecks for several reasons: Testing Adequacy: Partial neural coverage criteria have been observed to achieve full coverage using only a small number of test inputs. In this case, increasing the number of test inputs does not consistently improve the quality of models. Interpretability: The current coverage criteria lack interpretability. Consequently, testers are unable to identify and understand which …

Interpreting Topic Models In Byte-Pair Encoding Space, Jia Peng Lim, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Byte-pair encoding (BPE) is pivotal for processing text into chunksize tokens, particularly in Large Language Model (LLM). From a topic modeling perspective, as these chunksize tokens might be mere parts of valid words, evaluating and interpreting these tokens for coherence is challenging. Most, if not all, of coherence evaluation measures are incompatible as they benchmark using valid words. We propose to interpret the recovery of valid words from these tokens as a ranking problem and present a model-agnostic and training-free recovery approach from the topic-token distribution onto a selected vocabulary space, following which we could apply existing evaluation measures. Results …