Digital Commons Network^™

Baryon-Antibaryon Photoproduction Cross Sections Off The Proton, F. Afzal, M. Albrecht, M. Amaryan, S. Arrigo, V. Arroyave, A. Asaturyan, A. Austregesilo, Z. Baldwin, F. Barbosa, J. Barlow, E. Barriga, R. Barsotti, D. Barton, V. Baturin, V. V. Berdnikov, A. Berger, W. Boeglin, M. Boer, W. J. Briscoe, T. Britton, R. Brunner, S. Cao, C. Chen, E. Chudakov, G. Chung, P. L. Cole, O. Cortes, V. Crede, M. M. Dalton, D. Darulis, A. Deur, L. Dietrich, S. Dobbs, A. Dolgolenko, M. Dugger, R. Dzhygadlo, D. Ebersole, M. Edo, H. Egiyan, P. Eugenio, A. Fabrizi, C. Fanelli, S. Fang, M. Fritsch, S. Furletov, L. Gan, H. Gao, A. Gardner, A. Gasparian, D. I. Glazier, C. Gleason, B. Grube, J. Guo, J. Hernandez, K. Hernandez, N. Herrmann, N. D. Hoffman, D. Hornidge, G. M. Huber, P. Hurck, W. Imoehl, D. G. Ireland, M. M. Ito, I. Jaegle, N. S. Jarvis, T. Jeske, M. Jing, R. T. Jones, V. Kayokan, G. Kalicy, X. Kang, V. Khachatryan, C. Kourkoumelis, A. Laduke, I. Larin, D. Lawrence, D. I. Lersch, H. Li, B. Liu, K. Livingston, L. Lorenti, V. Lyubovitskij, H. Marukyan, V. Matveev, M. Mccaughan, M. Mccracken, C. A. Mayer, R. Miskimen, R. E. Mitchell, P. Moran, L. Ng, E. Nissen, S. Orešić, A. I. Ostrovidov, Z. Papandreou, L. Pentchev, K. J. Peters, L. Puthiya Veetil, S. Rakshit, J. Reinhold, A. Remington, J. Ritman, G. Rodriguez, K. Saldana, S. Schadmand, A. M. Schertz, K. Scheuer, A. Schmidt, R. A. Schumacher, J. Schwiening, M. Scott, N. Septian, P. Sharp, V. J. Shen, X. Shen, M. R. Shepherd, J. Sikes, H. Singh, A. Smith, E. S. Smith, A. Somov, S. Somov, J. R. Stevens, I. I. Strakovsky, B. Sumner, K. Suresh, V. V. Tarasov, S. Taylor, A. Teymurazyan, A. Thiel, M. Thomson, T. Viducic, T. Whitlatch, Y. Wunderlich, B. Yu, J. Zarling, Z. Zhang, X. Zhou, B. Zihlmann

Physics Faculty Publications

The GLUEX experiment at Jefferson Lab has observed p(p) over bar and, for the first time, ΛΛ over bar and p Λ over bar photoproduction from a proton target at photon energies up to 11.6 GeV. The angular distributions are forward peaked for all produced pairs, consistent with Regge-like t-channel exchange. Asymmetric wide-angle antibaryon distributions show the presence of additional processes. In a phenomenological model, we find consistency with a double-t-channel exchange process where antibaryons are created only at the middle vertex. The model matches all observed distributions with a small number of free parameters. In the hyperon channels, we …

Forcing A Molecule To Switch: Quantifying Mechanical Control At The Atomic Scale, A. M. Shashika D. Wijerathna, Markus Zirnheld, Michael L. Hildebrand, Myles Perry, Marjorie Cenese, Yuan Zhang

Physics Faculty Publications

Mechanically induced conformational switching at the single-molecule level represents a fundamental mechanism for molecular functionality, yet quantitative characterization of the underlying force and energy landscape remains limited. Here, we study individual TBrPP-Co(II) molecules on Au(111) using qPlus atomic force microscopy. By reconstructing interaction potentials from 3D Δf(x,y,z) data, we determine a threshold force of ∼96 ± 8 pN and a tip-induced switching interaction energy of ∼38 ± 4 meV associate with the conformational transition. The isolated tip-molecule force follows a power law (exponent ∼6), indicating dominance of long-range van der Waals interactions. …

Inverse Problem In The Large Momentum Effective Theory Framework, Herve Dutrieux, Joe Karpie, Christopher J. Monahan, Kostas Orginos, Anatoly Radyushkin, David Richards, Savvas Zafeiropoulos

Physics Faculty Publications

One proposal to compute parton distributions from first principles is the large momentum effective theory (LaMET), which requires the Fourier transform of matrix elements computed nonperturbatively. Lattice quantum chromodynamics (QCD) provides calculations of these matrix elements over a finite range of Fourier harmonics that are often noisy or unreliable in the largest computed harmonics. It has been suggested that enforcing an exponential decay of the missing harmonics helps alleviate this issue. Using nonperturbative data, we show that the uncertainty introduced by this inverse problem in a realistic setup remains significant without very restrictive assumptions, and that the importance of the …

Between The Living And The Dead, Leona Strong

Graduate Studies Theses and Dissertations 2026

Between the Living and the Dead is a collection of short stories and flash fiction that explores loss, generational abuse, abandonment, the sometimes brutal power of familial ties, and love in its many forms—both good and evil. This thesis aims to tease out, in the reader, moments of reflection, compassion and revelation. “Falling,” centers on a mother’s grief after her son dies by suicide and her attempt to move beyond perceived culpability and shame. She does this by jumping from a plane to embody his last moments and make the same decision…to live or to die. “And Baby Makes One,” …

Interpolation Between Sudakov And Bfkl Rapidity Evolutions For Tmd Factorization At Small X, Ian Balitsky

Physics Faculty Publications

Within the framework of rapidity-only small-x TMD factorization, the evolution with respect to the rapidity cutoff is initially governed by Sudakov double logarithms and subsequently by BFKL/BK single logarithms. The evolution equation proposed in this paper correctly reproduces both the Sudakov and BFKL limits, while providing a consistent interpolation between these two regimes.

Real-Space Imaging Of The Electron-Pair Density Hole In Molecular Auger-Meitner Decay, Mats Simmermacher, Nathan Goff, Andres Moreno Carrascosa, Elke Fasshauer, Thomas Northey, Lingyu Ma, Haiwang Yong, Brian Stankus, Asami Odate, Xuan Xu, Wenping Du, Kyle Acheson, Joseph C. Cooper, Daniel Ratner, Mengning Liang, Ruaridh Forbes, Michael P. Minitti, Adam Kirrander, Peter M. Weber

Physics Faculty Publications

Electrons in matter can rearrange extremely quickly under external perturbations, underpinning subsequent structural and chemical transformations. Coulomb interactions between neighbouring electrons often shape this response, giving rise to correlated motion and strongly affecting the distribution of electrons in the system. Here we show that non-resonant hard X-ray scattering can directly access changes in the radial electron-pair density during the rapid rearrangement of core and valence electrons. We do this by studying sulfur hexafluoride molecules undergoing Auger–Meitner decay. We exploit a second-order interaction between the X-ray photons and the molecules to trigger and probe the decay dynamics with a single pulse, …

Quantum Monte Carlo Calculations Of Zemach Moments In A ≤ 9 Nuclei, Garrett B. King, Sonia Bacca, Graham Chambers-Wall, Alex Gnech, Saori Pastore, Maria Piarulli, R. B. Wiringa

Physics Faculty Publications

Modern atomic spectroscopy has reached a level of precision at which nuclear-structure effects can no longer be neglected and must be quantified reliably. In particular, hyperfine splittings depend on the Zemach radius, which encodes the convolution of the nuclear charge and magnetization distributions. The third electric Zemach moment provides a related finite-size measure and enters the elastic two-photon-exchange contribution to the Lamb shift in muonic atoms. Here, we compute Zemach radii and other electromagnetic moments for light nuclei using quantum Monte Carlo techniques within modern ab initio nuclear theory. Using Norfolk two- and three-body interactions derived within chiral effective field …

Exploring Causes Of Beam Loss At Cebaf, C. Matthews, J. Benesch, R. M. Bodenstein, B. Freeman, D. Moser, D. Turner, K. Price, J. Samari, B. Terzić

Physics Faculty Publications

At Jefferson Lab, the Continuous Electron Beam Accelerator (CEBAF) features a unique design with two linear accelerators and two arc sections allowing for multiple turns of the electron beam, as well as four experimental end stations. This topology leads to increased beam losses, especially in the spreader and recombiner regions connecting the arcs to the LINACs and in the extraction regions connecting the experimental end stations to the accelerator. These losses result in equipment activation and operational interruptions. Recent upgrades to the facility’s diagnostic systems, including the addition of xenon ion chambers, have provided higher-resolution data regarding these loss events. …

Efficient Dynamic And Momentum Aperture Optimization For Lattice Design Using Multipoint Bayesian Algorithm Execution, Z. Zhang, I. Agapov, S. Gasiorowski, T. Hellert, W. Neiswanger, X. Huang, D. Ratner

Physics Faculty Publications

We demonstrate that multipoint Bayesian algorithm execution (multipointBAX) can overcome fundamental computational challenges in storage ring design optimization. Dynamic aperture and momentum aperture optimization is a multipoint, multiobjective design task for storage rings, ultimately informing the flux of x-ray sources and luminosity of colliders. Current production black-box optimization methods require extensive particle-tracking simulations for each trial configuration; the high computational cost restricts the extent of the search to ~ 10³ configurations and therefore limits the quality of the final design. We remove this bottleneck using multipointBAX, which selects, simulates, and models each trial configuration at the single-particle level. We demonstrate …

Disability And Accessibility In The Voice Studio: An Open Educational Resource, Katherine Meizel, Anne Slovin

Open Educational Resources

Disability and Accessibility in the Voice Studio is the first collection of its kind, bringing together seventeen singers and voice teachers to share personal and professional experience with disability. The editors envision it as an entry point to disability for students and instructors of voice pedagogy courses, as well as for singers and teachers. It is designed to allow users to choose from a variety of topics presented in diverse styles, and in multiple learning modes—and in the process it illustrates important forms of accessibility. The overall purposes of the resource include: 1) to support a larger movement toward the …

Emerald Lake Village District Hillsborough, Nh Annual Report For The Year Ending December 31, 2025, Emerald Lake Village District Representatives

Emerald Lake Village District of Hillsborough, NH Annual Reports

This is an annual report containing vital statistics for a village district in the state of New Hampshire.

Grandmothers Of Invention: A Commentary On Fifty Years Of Hazards And Disasters Research And Practice In The United States, Susan L. Cutter, Kathleen Tierney

Faculty Publications

This commentary highlights the role of “grandmothers of invention”: women in the United States who were the first to enter the field of hazards and disasters as core researchers and who played key roles in advancing the science and practice of hazards/disasters research since 1975. We examine the evolution and transformation of the field from the perspective of the women who were initially entering a male-dominated field. The innovations in theory, concepts, tools, topics, and mentoring the next generation of scholars and practitioners are highlighted. Notably, emphasis on these women's singular and collective influence on practice and policy highlights the …

Government Agencies In The United States Are Obstructing Native Species Restoration, Creating Regulatory Pits For Wildlife, Jeremy T. Bruskotter, L. Mark Elbroch, John Vucetich

Michigan Tech Publications

No abstract provided.

The Effects Of Psychological Counseling Types On Stress, Athlete Burnout, And Resilience In Athletes: Ai Chatbot Vs. Face-To-Face Counseling, Ga-Young Kim, Hye Jin Yang, Chulhwan Choi, Chul-Ho Bum

Human Movement Studies & Special Education Faculty Publications

This study examined the effects of artificial intelligence (AI) chatbot counseling and face-to-face counseling on perceived stress, athlete burnout, and resilience among athletes. In this three-arm quasi-experimental pretest–posttest study, 73 athletes participated in AI chatbot counseling, face-to-face counseling, or a control condition over a 12-week intervention period. Nonparametric longitudinal analyses revealed significant group-by-time interactions. After adjustment for multiplicity, significant group-by-time interactions were observed for perceived stress and reduced sense of accomplishment, a sub-variable of athlete burnout. Perceived stress significantly decreased in the face-to-face counseling group, whereas reduced sense of accomplishment significantly decreased in the AI chatbot counseling group. For supportiveness, …

Outcomes And Implications Of Patients Included Vs. Excluded For Extracorporeal Cardiopulmonary Resuscitation After Initial Activation, Kevin George, Joshua B. Wiener, Michael Zacharias, Frank Forde, Yasir Abu-Omar, Colin Mccloskey

Division of Cardiology Faculty Papers

BACKGROUND: The aim of this study is to describe the implementation of a new Extracorporeal Cardiopulmonary Resuscitation (ECPR) program in Cleveland, Ohio, USA. We also provide a novel comparison of outcomes between patients cannulated vs excluded from cannulation for ECPR after initial field activation.

METHODS: A prospective observational study of ECPR activations between September 2021 and February 2025. Patients meeting initial eligibility criteria for out-of-hospital cardiac arrest (OHCA)-namely based on age, bystander-CPR, and initial shockable rhythm-were transported to the emergency department where the ECPR team completed cannulation based on further biochemical criteria. Medical records were used to collect data after …

Multihoming And Single-Homing Complementors' Responses To Intensified Between-Platform Competition: Evidence From The Youtube–Twitch Rivalry, Niloofar Abolfathi

Research Collection Lee Kong Chian School Of Business

Research Summary: This paper examines how heterogeneous YouTube content creators-specifically, single-homing and multihoming channels-respond to a sudden increase in the exposure of the rival platform, Twitch. Contrary to expectations, I find that multihoming channels reduce their content creation efforts and underperform relative to single-homers. To make sense of these surprising results, I develop a formal model that characterizes the strategic behavior of different types of complementors operating across two platforms with varying levels of user exposure. The model offers a plausible explanation for the observed empirical patterns, suggesting that intensified competition between platforms, as a consequence of their changing exposure, …

The Effects Of Financing Green And Brown Sectors: What Do Theories And Evidence Say?, Hao Liang, Maria Teresa Punzi

Research Collection Lee Kong Chian School Of Business

This paper critically examines the economic and welfare implications of financing green and brown sectors. Drawing on a comprehensive review of recent theoretical and empirical literature, we highlight that while conventional green finance—allocating capital toward environmentally friendly (“green”) sectors and away from carbon-intensive (“brown”) sectors—can promote decarbonization, it may also produce unintended externalities. In particular, it can inadvertently incentivize higher emissions from brown firms and contribute to economic disruption. Using a dynamic stochastic general equilibrium (DSGE) model, we demonstrate that lowering the cost of capital for green sectors leads to only modest reductions in emissions, whereas raising it for brown …

Policy Uncertainty Reduces Green Innovation, Mengyu Wang, Jeffrey Wurgler, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Policy uncertainty can undermine the power of government subsidies to stimulate environmentally friendly research and development. We show that Chinese firms’ green R&D falls as the uncertainty of environmental subsidies rises: Exogenous, weather-driven air pollution variability induces subsidies to fluctuate, and firms in areas with high weather-driven subsidy variability undertake less green R&D and hire fewer technical employees, controlling for the average level of subsidies. Heavy emitters and environmental technology firms are more affected. The results also illustrate how policy uncertainty can arise when policymakers are influenced by conditions that are salient but with causes that are difficult to disentangle.

Large Owner Expropriation Threat And Stock Option Pay's Effect On Firm Risk-­Taking Behaviors In Weak Institutions, Cuili Qian, Lipeng (Gary) Ge, Xuesong Geng, Jiatao Li, Maria Hasenhuttl

Research Collection Lee Kong Chian School Of Business

Research Question/Issue: This study investigates the impact of managerial stock option pay on firm risk-­ taking behaviors in aweak institutional context, a critical question that has been overlooked by the literature. Specifically, we build on the comparative corporate governance perspective that emphasizes the implications of large shareholders' expropriation threat in weak institutions to develop predictions about their impact on the stock option's incentive alignment effect. We further explore the boundary conditions of such a relationship.Research Findings/Insights: Based on a sample of Chinese listed firms between 2006 and 2016, we find that a high level of large shareholders' expropriation threat weakens …

Testing Mean Stability Of Heteroskedastic Time Series, Violetta Dalla, Liudas Giraitis, Peter C. B. Phillips

Research Collection School Of Economics

Time series models are often fitted to the data without preliminary checks for stability of the mean and variance, conditions that may not hold in much economic and financial data, particularly over long periods. Ignoring such shifts may result in fitting models with spurious dynamics that lead to unsupported and controversial conclusions about time dependence, causality, and the effects of unanticipated shocks. In spite of what may seem as obvious differences between a time series of independent variates with changing variance and a stationary conditionally heteroskedastic (GARCH) process, such processes may be hard to distinguish in applied work using basic …

Smokejumper Magazine, January 2026, National Smokejumper Association

Smokejumper and Static Line Magazines

This issue of the National Smokejumper Association (NSA) Smokejumper Magazine, contains the following articles:

Message from the President; Smokejumpers in Indochina; Visionary in Aisle Three!; 2025 NSA Scholarship and Education/Training Grant Awardees; The Greatest Generation; You can Get Great Firefighters; You Just Have to Work for It; Bagger Crew; The OC Fire Program: A Fire Path to Life; The Summer My Life Changed; Only In Alaska; Burned Out: It Doesn't Have to Be This Way; Jumpin' at 300 Feet; 56 Years Later; Round vs. Square; Featured Member: Ken Herrick; Notes From the Ranks; Thoroughly Modern McCall; Sounding Off; Odds and …

Racial Differences In Adverse Pregnancy Outcomes And Incident Hypertension: A Mediation Analysis, Lucia C. Petito, Xiaoning Huang, C. Noel Bairey, Natalie Bello, Janet Catov, Ernesto Licon, Abbi Lane, David M. Haas, Lisa D. Levine, Rebecca B. Mcneil, Eliza Miller, Uma M. Reddy, Bethany Barone Gibbs, George Saade, Lauren Theilen, Laura E. Wiener, Brian M. Mercer, Hyagriv N. Simhan, Lynn M. Yee, Philip Greenland, William A. Grobman, Sadiya S. Khan

Department of Obstetrics & Gynecology Faculty Publications

Background

Adverse pregnancy outcomes (APOs) are associated with increased hypertension risk. Black women experience higher rates of APOs and hypertension compared with White women, but whether APOs contribute to Black-White hypertension disparities remains unknown.

Methods

The nuMoM2b-HHS (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be-Heart Health Study) prospectively recruited nulliparous pregnant people at 8 US centers (2010-2013) with follow-up 2 to 7 years postpartum (2014-2017). Race, which represents a social construct, was self-identified. The primary outcome was incident hypertension at follow-up. APOs included hypertensive disorders of pregnancy, preterm birth, and small-for-gestational age birth. Potential confounders (psychological health, social factors, and health behaviors) …

Limits Of Machine Learning For Predicting Stillbirth At Term: A Population-Based Cohort Of 302,192 Pregnancies In Northern Italy, M. Benuzzi, T. Kawakita, F. Monari, B. Melis, G. Guariglia, A. La Marca, I. Neri, G. Saade, F. Facchinetti, I. El Moudden

Department of Obstetrics & Gynecology Faculty Publications

Background

Objective

Study Design

Hospital Cesarean Delivery Rankings By Overall, Low-Risk, And Reliability-Adjusted Metrics, Tetsuya Kawakita, Regan N. Theiler, George Saade

Department of Obstetrics & Gynecology Faculty Publications

Importance: The Society for Maternal-Fetal Medicine (SMFM) low-risk cesarean delivery metric aims to improve comparability, but the extent to which additional patient-level adjustment and reliability profiling alter hospital rankings is not well characterized.

Objectives: To evaluate how hospital cesarean delivery rankings differ across overall, SMFM-defined low-risk, and reliability-adjusted low-risk approaches, and to identify hospital characteristics associated with reliability-adjusted low-risk rates.

Design, Setting, and Participants: This cross-sectional study used data from the 2022 National Inpatient Sample, a nationally representative all-payer database, on individuals aged 11 to 55 years who were hospitalized for childbirth. Data were analyzed from October 2025 through June …

Medical Students Report Coherent Ethical Orientations Towards Ai Across Academic And Clinical Domains, With No Clear Association With Perceived Technical Readiness: A Cross-Sectional Pilot Study, Ismail El Moudden, Madison Baldauf, John Millerhagen, Anca Dana Dobrian

Department of Obstetrics & Gynecology Faculty Publications

Background

Whether perceived technical AI competency is associated with greater ethical openness to AI integration, a relationship often assumed in curricular design, remains empirically untested. This pilot study examined relationships between perceived AI readiness, ethical perspectives toward AI integration, and curricular needs among medical students.

Methods

A cross-sectional survey was administered to medical students at a single U.S. institution from September through November 2025. The survey assessed self-reported AI readiness, ethical perspectives across academic and clinical domains, and responses to 22 scenario-based ethical items; all measures were student self-reports, and findings reflect student perceptions. Composite indices were created for Perceived …

Cisheterosexism In Lgbtqia+ Health Resource Guides, Vanessa Kitzie, Olivia Reed, Amirezza Kalantari

Faculty Publications

Cisheterosexism in LGBTQIA+ Health Resource Guides Vanessa Kitzie, Amirezza Kalantari, Olivia Reed University of South Carolina, School of Information Science [email protected] Limited healthcare resources lead many LGBTQIA+ people to peer networks, often accessed via search engines to find community-created health resource websites [1–3]. Academic library guides benefit privileged LGBTQIA+ identities [4], but little is known about community guides, which may reinforce cisheterosexist narratives, causing stigma and stress [5, 6]. This study addresses this gap by scraping Google results for LGBTQIA+ health resources across US states, examining how cisheterosexism shapes health topics, geography, and representation of LGBTQIA+ populations. We hypothesize that …

Dgamlss: An Exact, Distributed Algorithm To Fit Generalized Additive Models For Location, Scale, And Shape For Privacy-Preserving Population Reference Charts, Fengling Hu, Jiayi Tong, Margaret Gardner, Chris Adamson, Sophie Adler, Aaron F. Alexander-Bloch, Evdokia Anagnostou, Kevin M. Anderson, Ariosky Areces-Gonzalez, John Blangero

Human Genetics Publications

Motivation There is growing interest in estimating population reference ranges across age and sex to better identify atypical clinically-relevant measurements throughout the lifespan. For this task, the World Health Organization recommends using Generalized Additive Models for Location, Scale, and Shape (GAMLSS), which can model non-linear growth trajectories under complex distributions that address the heterogeneity in human populations. Fitting GAMLSS models requires large, generalizable sample sizes, especially for accurate estimation of extreme quantiles, but obtaining such multi-site data can be challenging due to privacy concerns and practical considerations. In settings where patient data cannot be shared, privacy-preserving distributed algorithms for federated …

Against Ai Half Measures, Woodrow Hartzog, Neil Richards, Ryan Durrie, Jordan Francis

Faculty Scholarship

So far, U.S. consumer protection policy for artificial intelligence (AI) accountability has largely consisted of industry-led approaches such as encouraging transparency, mitigating bias, promoting principles of ethics, and empowering people. These approaches are vital, but they are only half measures. To bring AI within the rule of law, lawmakers must start drawing substantive lines.

In this Article, we identify four AI regulatory approaches to consumer, data, and democratic harms as half measures. First, transparency does not produce accountability on its own. Second, while mitigating bias in AI systems is critical, even unbiased systems are a threat to the vulnerable. Third, …

The Punishment Paradox, Steven Arrigg Koh

Faculty Scholarship

What does criminal punishment do? Across centuries of criminal legal thought, a shared answer persists: punishment incapacitates the wrongdoer. And yet punishment sometimes yields its opposite. Paradoxically, punishment sometimes becomes a rallying point-expanding community identification and solidarity around the defendant. This Article shows this punishment paradox using the 2023-24 prosecutions of President Trump and recent and historical case examples-from Luigi Mangione to Karen Read to Rosa Parks. By arguing that criminal law can generate solidarity rather than stigma, the Article both rethinks foundational theories of punishment and reconsiders the role of criminal law in democratic politics. Such an approach transcends …

Between Artifice And Enlightenment: Queer Critique, Insecurity, And The Ai Large Language Model, Kevin S. Amidon Ph.D.

Modern Languages Faculty Publications

Over several decades, machine learning systems—often described with the double metaphor “artificial intelligence”—have become indispensable computational tools in the flow and mediation of economic and social capital. These systems can, on the surface, appear to deepen the dialectic of enlightenment identified by Horkheimer and Adorno by enabling ever greater domination over natural systems and human agency. They therefore generate widespread concern that computational advances endanger the security and autonomy of human subjects, especially in the sphere of production and exchange. Contemporary social theory offers conceptual tools that go beyond received categories of domination and autonomy, however, to provide a reanalysis …