cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Introduction of a General Practitioner Cooperative did not lead to a decrease in workload at the ED
Creators: name: Veelen, Michiel Van
name: Brand, Crispijn Van Den
name: Reijnen, Resi
name: Linden, Christien Van Der
Publisher: name: F1000Research
Year: 2016

description: Objectives

In 2013 a General Practitioner Cooperative (GPC) was introduced at the Emergency Department (ED) of our hospital with the aim of relieving workload. To determine the effect we measured the amount of self-referrals, redirection of self-referrals to the GPC and back to the ED as well as characteristics of the remaining ED population regarding level of acuity and length of stay (LOS).

Results

Almost half of our ED patients were self-referrals (45.5%), 54.5% of them were redirected to the GPC. 8.5% of them were referred back to the ED. There was a significant increase in highly urgent (Manchester Triage System level 2) patients (1,106 vs. 1,331 patients) and LOS (89min vs. 125min, P<0.005) of the ED patients.
Deep, single shot human cell line protein profiling using DIA and Spectronaut on a Q Exactive HF
Creators: name: Bruderer, Roland
name: Xuan, Yue
name: Bernhardt, Oliver
name: Tejas Gandhi
name: Reiter, Lukas
Publisher: name: F1000Research
Year: 2016

description: Quantitative protein profiling using LC-MS is used to compare different tissue or cell line states and provides valuable insight into biological processes or enables the discovery of novel biomarkers. Close to 100% coverage of the expressed proteome in human cell lines can be achieved using sample pre-fractionation. However, long measurement times render pre-fractionation impractical, if many samples are to be profiled. Here, we used single shot data-independent acquisition (DIA) on a Q Exactive HF mass spectrometer to profile human cell lines. Therefore, we developed a strategy to generate an optimized HRM-DIA method. Using targeted analysis with the Spectronaut software, we identified and quantified up to 69,819 unique peptides (excluding charge states) and 7,235 protein groups in a single 3 hour measurement.
The Neuronal Nitric Oxide Synthase inhibitor NANT blocks acetaminophen (APAP) toxicity in mouse hepatocytes
Creators: name: Sudip Banerjee
name: Melnyk, Stepan
name: Letzig, Lynda
name: James, Laura
name: Hinson, Jack
Publisher: name: F1000Research
Year: 2016

description: 3-Nitrotyrosine (3NT) in liver proteins of mice treated with hepatotoxic doses of APAP correlates with toxicity.  Nitration is by peroxynitrite(ONOO), a reactive nitrogen species formed from nitric oxide (NO) and superoxide(O2).  We postulated that APAP toxicity is mediated by peroxynitrite. Since iNOS knockout mice are equally susceptible to APAP toxicity as wild type mice we examined the potential role of nNOS in APAP toxicity in hepatocytes using the specific nNOS inhibitor NANT(10µM) (N-[(4S)-4-amino-5-[(2-aminoethyl) amino] pentyl]-N’-nitroguanidinetris (trifluoroacetate)).Primary hepatocytes (1 million/ml) from B6C3F1 mouse were incubated with/without APAP (1mM).  Every 0.5h 1millioncells were removed and assayed spectrofluorometrically for NO and superoxide production using diaminofluorescein (DAF) and Mitosox, respectively.  Cytotoxicity was determined by LDH release into media.  Glutathione (GSH, GSSG), 3NT, GSNO and acetaminophen-cysteine (APAP-Cys) adducts were measured by HPLC-EC.  APAP significantly increased cytotoxicity at 1.5-3.0h.  The increase was blocked by NANT. NANT did not alter APAP mediated GSH depletion or covalent binding which indicated that NANT did not inhibit metabolism.   APAP significantly increased NO and superoxide at 0.5 and 1.0h, respectively.  The increases in both NO and superoxide were blocked by NANT.  APAP significantly increased 3NT at 1.5-3.0h and the increase was blocked by NANT.  The data support the hypothesis that APAP hepatotoxicity is mediated by reactive nitrogen formed by nNOS.
Improving patient-reported measures in oncology: A payer call to action
Creators: name: Schmidt, T.
name: Perkins, B.
name: Patel, P.
name: Valuck, T.
name: Riposo, J.
name: McClellan, M.
name: Basch, E.
name: Westrich, K.
Publisher: name: Academy of Managed Care Pharmacy (AMCP)
Year: 2021

description: Despite rising interest in integrating the patient voice in value-based payment (VBP) models for oncology, barriers persist to implementing patient-reported measures (PRMs), including patient-reported performance measures (PR-PMs). This article describes the landscape of oncology PRMs and PR-PMs, identifies implementation barriers, and recommends solutions for public and private payers to accelerate the appropriate use of PRMs in oncology VBP programs. Our research used a multimethod approach that included a literature review, landscape scan, stakeholder interviews and survey, and a multistakeholder roundtable. The literature review and landscape scan found that limited oncology-specific PR-PMs are available and some are already used in VBP programs. Diverse stakeholder perspectives provided insight into filling current gaps in measurement and removing implementation barriers, such as limited relevance of existing PRMs and PR-PMs for oncology; methodological challenges; patient burden and survey fatigue; and provider burden from resource constraints, competing priorities, and insufficient incentives. Key recommendations include: (a) identify or develop meaningful measures that fill gaps, engaging patients throughout measure and program development and evaluation; (b) design programs that include scientifically sound measures standardized to reduce patient and provider burden while supporting care; and (c) engage providers using a stepwise approach that offers resources and incentives to support implementation.
UAV Applications for Intensive Forest Monitoring
Creators: name: Krause, Stuart
Publisher: name: Universitäts- und Landesbibliothek Bonn
Year: 2024
Subjects: subject: UAV
subject: Fernerkundung
subject: forstliche Monitoring
subject: Remote Sensing
subject: Forest Monitoring
subject: ddc:910

description: Intensive forest monitoring at Level II plots in Europe necessitates standardization for observing and measuring forest parameters, allowing for comprehensive assessments across various scales. The harmonization of these data is crucial, especially when integrating with remote sensing (RS) Earth Observation platforms like Sentinels and Landsat. Despite the challenges of translating ground-based data to represent diverse forests and the high costs of systematic field campaigns, recent advancements in Unmanned Aerial Vehicle-Remote Sensing (UAV-RS) technology offer high-resolution, temporally frequent data acquisition. This technology enables enhanced forest measurements, such as tree height and crown diameter, and improves observations in phenology and tree health. UAV-RS can potentially replace traditional ground observations in certain cases and extend monitoring to include additional forest types representative of a region.
 This dissertation investigates the potential of UAV-RS to enhance or replace traditional ground observations at forest monitoring plots. Three research questions are explored: the accuracy of UAV-based photogrammetric tree height extraction compared to traditional methods, the effectiveness of UAV thermal imaging in detecting drought stress in Beech trees, and the reliability of UAV-derived machine learning models for phenological assessments. The studies reveal that UAV-RS can provide accurate tree height measurements, detect drought stress using thermal imaging, and predict phenological phases using multispectral indices and machine learning. However, challenges such as radiometric calibration, thermal imaging error propagation, and translating ground observations to remote sensing data need further research. The dissertation concludes that UAV-RS will likely become a key component of future forest monitoring, but coordinated efforts and standardization are essential for its effective integration.
การจัดการปัญหาการลักลอบเข้าเมืองของชนกลุ่มน้อยชาวโรฮีนจา
Creators: name: ศิลปคมณ์ เอี่ยมวงศ์ สิตานนท์ เจษฎาพิพัฒน์ และ ฉัตรวรัญ องคสิงห์
Publisher: name: มหาวิทยาลัยรังสิต
Year: 2016
Subjects: โรฮิงจา, ผู้อพยพหลบหนีเข้าเมือง, การจัดการปัญหา

description: 2, 1, วารสารรังสิตบัณฑิตศึกษาในกลุ่มธุรกิจและสังคมศาสตร์
Material Hardness Descriptor Derived by Symbolic Regression
Creators: name: Tantardini, Christian
name: Zakaryan, Hayk A.
name: Han, Zhong-Kang
name: Altalhi, Tariq
name: Levchenko, Sergey V.
name: Kvashnin, Alexander G.
name: Yakobson, Boris I.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Hardness is a materials' property with implications in several industrial fields, including oil and gas, manufacturing, and others. However, the relationship between this macroscale property and atomic (i.e., microscale) properties is unknown and in the last decade several models have unsuccessfully tried to correlate them in a wide range of chemical space. The understanding of such relationship is of fundamental importance for discovery of harder materials with specific characteristics to be employed in a wide range of fields. In this work, we have found a physical descriptor for Vickers hardness using a symbolic-regression artificial-intelligence approach based on compressed sensing. SISSO (Sure Independence Screening plus Sparsifying Operator) is an artificial-intelligence algorithm used for discovering simple and interpretable predictive models. It performs feature selection from up to billions of candidates obtained from several primary features by applying a set of mathematical operators. The resulting sparse SISSO model accurately describes the target property (i.e., Vickers hardness) with minimal complexity. We have considered the experimental values of hardness for binary, ternary, and quaternary transition-metal borides, carbides, nitrides, carbonitrides, carboborides, and boronitrides of 61 materials, on which the fitting was performed. The found descriptor is a non-linear function of the microscopic properties, with the most significant contribution being from a combination of Voigt-averaged bulk modulus, Poisson's ratio, and Reuss-averaged shear modulus. Results of high-throughput screening of 635 candidate materials using the found descriptor suggest the enhancement of material's hardness through mixing with harder yet metastable structures (e.g., metastable VN, TaN, ReN$_2$, Cr$_3$N$_4$, and ZrB$_6$ all exhibit high hardness).
From Muller to Parity and Rabin Automata: Optimal Transformations Preserving (History) Determinism
Creators: name: Casares, Antonio
name: Colcombet, Thomas
name: Fijalkow, Nathanaël
name: Lehtinen, Karoliina
Publisher: name: arXiv
Year: 2023
Subjects: subject: Formal Languages and Automata Theory (cs.FL)
subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences
subject: F.4.3
subject: 68Q45

description: We study transformations of automata and games using Muller conditions into equivalent ones using parity or Rabin conditions. We present two transformations, one that turns a deterministic Muller automaton into an equivalent deterministic parity automaton, and another that provides an equivalent history-deterministic Rabin automaton. We show a strong optimality result: the obtained automata are minimal amongst those that can be derived from the original automaton by duplication of states. We introduce the notions of locally bijective morphisms and history-deterministic mappings to formalise the correctness and optimality of these transformations.
 The proposed transformations are based on a novel structure, called the alternating cycle decomposition, inspired by and extending Zielonka trees. In addition to providing optimal transformations of automata, the alternating cycle decomposition offers fundamental information on their structure. We use this information to give crisp characterisations on the possibility of relabelling automata with different acceptance conditions and to perform a systematic study of a normal form for parity automata.
description: Extended version of an ICALP 2021 paper. It also includes content from an ICALP 2022 paper. Version 3: Journal version for TheoretiCS
รูปแบบการพัฒนาอุตสาหกรรมอาหารเสริมสุขภาพไทยต่อการเข้าสู่ประชาคมเศรษฐกิจอาเซียน
Creators: name: สุรเดช เอกปัญญาสกุล และ พัชรี ตันติวิภาวิน
Publisher: name: มหาวิทยาลัยรังสิต
Year: 2016
Subjects: รูปแบบการพัฒนา, อาหารเสริมสุขภาพไทย, ประชาคมเศรษฐกิจอาเซียน

description: 2, 1, วารสารรังสิตบัณฑิตศึกษาในกลุ่มธุรกิจและสังคมศาสตร์
Patient-Reported Outcomes Integrated Within an Electronic Medical Record in Patients With Head and Neck Cancer
Creators: name: Stram, D.
name: Ossowski, S.
name: Basch, E.
name: Kammerer, A.
name: Katzel, J.A.
name: Piazza-DeLap, L.
Publisher: name: NLM (Medline)
Year: 2021

description: PURPOSE: Patient-reported outcome (PRO) tools lead to clinical benefits, including improved overall survival for patients with cancer. However, routine implementation of PROs in clinical practice within the electronic medical record (EMR) by integrated health care delivery systems remains limited. We studied the use of a PRO tool for patients with head and neck cancer (HNC) integrated in an EMR at Kaiser Permanente in Northern California. METHODS: Between August 2017 and December 2019, patients with newly diagnosed HNC were surveyed at baseline, then every 3 months using the Functional Assessment of Cancer Therapy-General 7 and Functional Assessment of Cancer Therapy-Head and Neck (version 4). A medical assistant performed a baseline survey on diagnosis and then notified patients electronically per surveillance protocol. Patients who did not respond to online PRO surveys could complete them via telephone or in-person appointments with medical assistants. Abnormal findings on PRO surveys were referred to appropriate members of the care team or the treating Otolaryngology-Head and Neck Surgery physicians. RESULTS: Two hundred ninety patients received baseline surveys. Patients received up to a maximum of eight subsequent surveys. Of a total of 597 electronic surveys, 585 (97.9%) were completed. The percentage of patients completing each interval survey ranged from 92% to 100%. Multivariate Poisson regression analysis showed patients with English as their primary language and an online secure account were the most likely to complete surveys compared with those patients with non-English as a primary language and without an online account. CONCLUSION: PRO tools can be effectively used within the EMR for patients with HNC with a high response rate provided there is strong engagement from a dedicated member of the care team. This has important implications for designing clinical trials and symptom monitoring in clinical practices that incorporate EMRs.
การประเมินผลโครงการพัฒนาศักยภาพของหมู่บ้านและชุมชน (SML)
Creators: name: ณรงค์เดช แก้วอุย
Publisher: name: มหาวิทยาลัยรังสิต
Year: 2016
Subjects: หมู่บ้านและชุมชน, การพัฒนาศักยภาพ

description: 2, 1, วารสารรังสิตบัณฑิตศึกษาในกลุ่มธุรกิจและสังคมศาสตร์
Lipschitz stability estimate for the simultaneous recovery of two coefficients in the anisotropic Schrödinger type equation via local Cauchy data
Creators: name: Foschiatti, Sonia
Publisher: name: arXiv
Year: 2023
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35R30

description: We consider the inverse problem of the simultaneous identification of the coefficients $σ$ and $q$ of the equation div$(σ\nabla u) + qu=0$ from the knowledge of the complete Cauchy data pairs. We assume that $σ=γA$ where $A$ is a given matrix function and $γ, q$ are unknown piecewise affine scalar functions. No sign, nor spectrum condition on $q$ is assumed. We derive a result of global Lipschitz stability in dimension $n\geq 3$. The proof relies on the method of singular solutions and on the quantitative estimates of unique continuation.
description: pp. 38
Implementation of electronic patient-reported outcomes for symptom monitoring in a large multisite community oncology practice: Dancing the texas two-step through a pandemic
Creators: name: Patt, D.
name: Pearson, B.
name: Patil, S.
name: Patel, A.
name: Boren, R.
name: Hudson, K.E.
name: Wilfong, L.
name: Olson-Celli, K.
name: Basch, E.
name: Books, H.
Publisher: name: American Society of Clinical Oncology
Year: 2021

description: PURPOSE Among patients receiving chemotherapy, symptom monitoring with electronic patient-reported outcomes (ePROs) is associated with improved clinical outcomes, satisfaction, and compliance with therapy. Standard approaches for ePRO implementation are not established, warranting evaluation in community cancer practices. We present implementation findings of ePRO symptom monitoring across a large multisite community oncology practice network. METHODS Patients initiating a new systemic therapy at one of the 210 practice sites at Texas Oncology were invited to use the Navigating Cancer ePRO platform, with stepped-wedge implementation from July to December 2020. Participating patients received a weekly prompt by text message or e-mail to self-report common symptoms and well-being. Severe self-reported symptoms triggered a real-time notification to nursing triage to address the symptom. Enrollment and compliance were systematically tracked weekly with evaluation of barriers and facilitators to adoption and sustainability. RESULTS Four thousand three hundred seventy-five patients planning systemic treatment were enrolled and participated. Seventy-three percent (1,841 of 2,522) of enrolled patients completed at least one ePRO assessment. Among these individuals, 64% (16,299 of 25,061) of available weekly ePRO assessments were completed. Over a 10-week period, compliance declined from 72% to 52%. Barriers currently being addressed include lack of a second reminder text or e-mail prompt, inconsistent discussion of reported ePROs by clinicians at visits, and COVID-related changes in workflow. Facilitators included ease of use and patient and staff engagement on the importance of PROs for symptom management. CONCLUSION ePROs can be effectively implemented in community oncology practice. Utilization of ePROs is high but diminishes over time without attention to barriers. Ongoing work to address barriers and optimize compliance are underway.
Benefits of Digital Symptom Monitoring with Patient-Reported Outcomes during Adjuvant Cancer Treatment
Creators: name: Basch, E.
name: Leahy, A.B.
name: Dueck, A.C.
Publisher: name: American Society of Clinical Oncology
Year: 2021

description: Digital symptom monitoring via electronic patient-reported outcomes (PROs) has been demonstrated in prospective randomized trials and population research to improve outcomes for adults with metastatic cancer receiving systemic treatment, including symptom control, quality of life, emergency department visits, time on treatment, and survival. Catching symptoms early via this strategy enables care teams to intervene early and avert preventable downstream complications. It is well-established that up to half of patients’ symptoms go undetected by providers, and digital monitoring bridges this gap.
Groups of F-Type
Creators: name: Fine, Benjamin
name: Rosenberger, Gerhard
name: Wienke, Leonard
Publisher: name: arXiv
Year: 2023
Subjects: subject: Group Theory (math.GR)
subject: FOS: Mathematics

description: We consider a class of groups, called groups of F-type, which includes some known and important classes like Fuchsian groups of geometric rank $\ge 3$, surface groups of genus $\ge 2$, cyclically pinched one-relator groups and torus-knot groups, and discuss algebraic and geometric properties of groups of F-type.
description: Published in the journal of Groups, Complexity, Cryptology
Oncology Practice during the COVID-19 Pandemic
Creators: name: Basch, E.
name: Schrag, D.
name: Hershman, D.L.
Publisher: name: American Medical Association
Year: 2020

description: In just a few short weeks, the coronavirus disease 2019 (COVID-19) pandemic has transformed health care delivery around the globe. The crisis has dismantled how care is delivered and forced clinicians to make difficult triage decisions about what types and components of care have limited immediate value and which are essential for optimal outcomes. Because some malignancies could pose an immediate threat to survival, cancer provides a lens into the major shifts currently underway in clinical care. Cancer and cancer-related treatments frequently cause immunosuppression, and patients with cancer have excess mortality risk from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The magnitude of this risk is not yet known but early reports suggest a substantial increased risk of death associated with COVID-19 infection among patients with cancer, perhaps highest among those older than 60 years and those with pulmonary compromise.
Adding Patient-Reported Outcomes to Medicare's Oncology Value-Based Payment Model
Creators: name: Schrag, D.
name: Basch, E.
name: Wilfong, L.
Publisher: name: American Medical Association
Year: 2020

description: On November 1,2019, the Centers for Medicare & Medicaid Services (CMS) Innovation Center released details of a proposed alternative payment model for medical oncology care, called Oncology Care First (OCF), for public comment. The OCF model will succeed the Oncology Care Model (OCM), which will expire at the end of 2020. When it started in 2016, the OCM,which was voluntary, was important in oncology due to its emphasis on value-based care transformation.
Scheduling optimization of linear projects considering spatio-temporal constraints
Creators: name: Esfahan, Nazila Roofigari
name: Razavi, Saiedeh
Publisher: name: The University of British Columbia
Year: 2015

description: Overall schedule optimization, considering all temporal, spatial and precedence constraints is a difficult task due to the complexity which is inherent in construction projects. The difficulties associated with modeling all aspects combined become more considerable when optimizing linear type of projects with high activities’ inter-relations. The progress of these projects highly depends on the productivity achieved from their resources which is directly dependent upon the space and time available to these resources. As a result, in order to practically optimize linear schedules, not only their achieved productivities need to be managed well, but also the spatio-temporal flexibilities and constraints are to be integrated into the optimization process. This paper aims to fill the gap in the current literature by proposing a practical approach for modeling and optimization of linear schedules while taking into account all the project-dependent constraints. For this purpose, the methodology is built on the new concept of Space-Time float for explicit consideration of spatio-temporal constraints of activities. The developed method uses constraint-satisfaction optimization approach to minimize duration of the generated schedules. As such, by having Space-Time floats for different activities’ resources and using such constraints, the schedule is optimized to get the minimum achievable duration for the total project. A numerical example is analyzed to present the proposed and developed method as well as its added benefits.
CD24 in Plattenepithelkarzinomen des Kopf-Hals-Bereiches
Creators: name: Schubert, Deborah Christina
Publisher: name: Universitäts- und Landesbibliothek Bonn
Year: 2024
Subjects: subject: ddc:610

description: Plattenepithelkarzinome des Kopf-Hals-Bereiches sind hoch immunogene Tumore mit einem heterogenen Ansprechen auf aktuelle Therapieoptionen. Da ein tumortoleranter Phänotyp in Makrophagen und anderen Immunzellen unter anderem durch CD24 exprimierende Tumorzellen über eine Interaktion mit Siglec-10 induziert wird, stellen diese Oberflächenproteine mögliche neue Therapieansätze dar. Ziel war es, immunhistochemisch die Expression von CD24 und seinem Bindungspartner Siglec-10 sowie die Infiltrationsdichte CD68 positiver Zellen in Head and Neck Squamous Cell Carcinoma (HNSCC) semiquantitativ in einer Kohorte von 156 Patienten zu untersuchen und mit klinisch-pathologischen Daten zu korrelieren. CD24 wurde in der Mehrheit der Fälle exprimiert und es zeigten sich inverse Korrelationen zwischen erhöhten CD24 Expressionen und der Infiltrationsdichte CD68 und CD8 positiver Zellen, was auf die immunsuppressiven Eigenschaften von CD24 hinweist. Zudem wurde eine vermehrte CD24 Expression bei Patienten mit einem mit schlechterer Prognose verbundenen negativem HPV-Status nachgewiesen. Dies deutet auf weitere protumorale Eigenschaften von CD24 hin. Ein signifikanter Unterschied bezüglich des Gesamtüberlebens in der Kaplan-Meier-Kurve durch eine verstärkte CD24 Expression in HNSCC konnte nicht festgestellt werden. Eine vermehrte Infiltration CD68 positiver Zellen an der Tumor-Stroma-Grenze korrelierte signifikant mit einem höheren Nodalstatus. Zudem war die Zelldichte CD68 positiver Zellen mit HPV/p16 positiven HNSCC assoziiert. Ein signifikanter Einfluss einer vermehrten Zelldichte CD68 positiver Zellen in HNSCC auf das Gesamtüberleben der Patienten konnte nicht nachgewiesen werden. Die positive Korrelation von Siglec-10 mit CD68 verdeutlicht den Expressionsort von Siglec-10 auf tumorassoziierten Makrophagen. Es konnte allerdings keine Korrelation von Siglec-10 mit seinem Liganden CD24 in dieser HNSCC Kohorte nachgewiesen werden und es ergab sich kein signifikanter Unterschied der Siglec-10 Expression auf das Gesamtüberleben bei HNSCC Patienten.
Approximate Distance Sensitivity Oracles in Subquadratic Space
Creators: name: Bilò, Davide
name: Chechik, Shiri
name: Choudhary, Keerti
name: Cohen, Sarel
name: Friedrich, Tobias
name: Krogmann, Simon
name: Schirneck, Martin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Computer and information sciences

description: An $f$-edge fault-tolerant distance sensitive oracle ($f$-DSO) with stretch $σ\ge 1$ is a data structure that preprocesses a given undirected, unweighted graph $G$ with $n$ vertices and $m$ edges, and a positive integer $f$. When queried with a pair of vertices $s, t$ and a set $F$ of at most $f$ edges, it returns a $σ$-approximation of the $s$-$t$-distance in $G-F$.
 We study $f$-DSOs that take subquadratic space. Thorup and Zwick [JACM 2005] showed that this is only possible for $σ\ge 3$. We present, for any constant $f \ge 1$ and $α\in (0, \frac{1}{2})$, and any $\varepsilon > 0$, a randomized $f$-DSO with stretch $ 3 + \varepsilon$ that w.h.p. takes $\widetilde{O}(n^{2-\fracα{f+1}}) \cdot O(\log n/\varepsilon)^{f+2}$ space and has an $O(n^α/\varepsilon^2)$ query time. The time to build the oracle is $\widetilde{O}(mn^{2-\fracα{f+1}}) \cdot O(\log n/\varepsilon)^{f+1}$. We also give an improved construction for graphs with diameter at most $D$. For any positive integer $k$, we devise an $f$-DSO with stretch $2k-1$ that w.h.p. takes $O(D^{f+o(1)} n^{1+1/k})$ space and has $\widetilde{O}(D^{o(1)})$ query time, with a preprocessing time of $O(D^{f+o(1)} mn^{1/k})$.
 Chechik, Cohen, Fiat, and Kaplan [SODA 2017] devised an $f$-DSO with stretch $1{+}\varepsilon$ and preprocessing time $O(n^{5+o(1)}/\varepsilon^f)$, albeit with a super-quadratic space requirement. We show how to reduce their preprocessing time to $O(mn^{2+o(1)}/\varepsilon^f)$.
description: The is the arXiv version of the eponymous paper that appeared first at STOC 2023 and then was extended to a journal version, published in TheoretiCS
International standards for the analysis of quality-of-life and patient-reported outcome endpoints in cancer randomised controlled trials: recommendations of the SISAQOL Consortium
Creators: name: Cocks, K.
name: Calvert, M.
name: Groenvold, M.
name: Taphoorn, M.J.B.
name: Smith, A.W.
name: Quinten, C.
name: O'Connor, D.
name: Devlin, N.
name: Cleeland, C.
name: Piault-Louis, E.
name: Sloan, J.
name: Velikova, G.
name: Coens, C.
name: Gotay, C.
name: Flechtner, H.-H.
name: Griebsch, I.
name: Schürmann, C.
name: Kluetz, P.G.
name: Basch, E.
name: Pe, M.
name: Bottomley, A.
name: King, M.
name: Malone, D.C.
name: Dorme, L.
name: Musoro, J.Z.
name: Mitchell, S.A.
name: Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium
name: Reijneveld, J.C.
name: Campbell, A.
name: Martinelli, F.
name: Oliver, K.
name: Dueck, A.C.
name: Collette, L.
name: Piccart, M.
name: Soltys, K.M.
name: Koller, M.
Publisher: name: Lancet Publishing Group
Year: 2020

description: Patient-reported outcomes (PROs), such as symptoms, function, and other health-related quality-of-life aspects, are increasingly evaluated in cancer randomised controlled trials (RCTs) to provide information about treatment risks, benefits, and tolerability. However, expert opinion and critical review of the literature showed no consensus on optimal methods of PRO analysis in cancer RCTs, hindering interpretation of results. The Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium was formed to establish PRO analysis recommendations. Four issues were prioritised: developing a taxonomy of research objectives that can be matched with appropriate statistical methods, identifying appropriate statistical methods for PRO analysis, standardising statistical terminology related to missing data, and determining appropriate ways to manage missing data. This Policy Review presents recommendations for PRO analysis developed through critical literature reviews and a structured collaborative process with diverse international stakeholders, which provides a foundation for endorsement; ongoing developments of these recommendations are also discussed.
Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
Creators: name: Wang, Chao
name: Qi, Shuren
name: Huang, Zhiqiu
name: Zhang, Yushu
name: Lan, Rushi
name: Cao, Xiaochun
name: Fan, Feng-Lei
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The vulnerability of deep neural networks to adversarial perturbations has been widely perceived in the computer vision community. From a security perspective, it poses a critical risk for modern vision systems, e.g., the popular Deep Learning as a Service (DLaaS) frameworks. For protecting deep models while not modifying them, current algorithms typically detect adversarial patterns through discriminative decomposition for natural and adversarial data. However, these decompositions are either biased towards frequency resolution or spatial resolution, thus failing to capture adversarial patterns comprehensively. Also, when the detector relies on few fixed features, it is practical for an adversary to fool the model while evading the detector (i.e., defense-aware attack). Motivated by such facts, we propose a discriminative detector relying on a spatial-frequency Krawtchouk decomposition. It expands the above works from two aspects: 1) the introduced Krawtchouk basis provides better spatial-frequency discriminability, capturing the differences between natural and adversarial data comprehensively in both spatial and frequency distributions, w.r.t. the common trigonometric or wavelet basis; 2) the extensive features formed by the Krawtchouk decomposition allows for adaptive feature selection and secrecy mechanism, significantly increasing the difficulty of the defense-aware attack, w.r.t. the detector with few fixed features. Theoretical and numerical analyses demonstrate the uniqueness and usefulness of our detector, exhibiting competitive scores on several deep models and image sets against a variety of adversarial attacks.
ASCO's quality care symposium and the evolving science of value-based care
Creators: name: Gurtshaw, C.
name: Krzyzanowska, M.
name: Schweizer, A.P.
name: Basch, E.
name: Hershman, D.
Publisher: name: American Society of Clinical Oncology
Year: 2020

description: Since 2012, ASCO has sponsored its annual Quality Care Symposium. In developing this symposium, ASCO recognized the emerging importance of quality improvement and measurement in clinical practice and the value to the oncology community of a forum for sharing ideas and experiences. Moreover, it was recognized that there is a science of quality measurement based in the collection and systematic analysis of data that could empower practices to substantiate and continuously improve their initiatives and patient care.
The dynamic transcriptome of two pear varieties with significant differences in pear ring rot resistance by RNA-seq
Creators: name: 陈启明(Qiming Chen)
Publisher: name: CNGB
Year: 2025
Subjects: Raw sequence reads
Multiisolate

description: The dynamic transcriptome of two Chinese white pear (Pyrus bretschneideri) varieties with significant differences in pear ring rot resistance by RNA-seq. The mature leaves of each variety were infected by Botryosphaeria dothidea for 12, 48, 96, 144 hours, respectively.
Automated production planning in panelized construction enabled by integrating discrete-event simulation and BIM
Creators: name: Liu, H.
name: Altaf, M. S.
name: Lei, Z.
name: Lu, M.
name: Al-Hussein, M.
Publisher: name: The University of British Columbia
Year: 2015

description: Panelization, a form of off-site construction with origins in the manufacturing industry, has emerged as a popular, more efficient approach to constructing residential projects. This approach transfers some of the construction activities traditionally carried out on site into factory production tasks, and divides construction management into factory production management and on-site assembly management. This change poses some challenges to construction practitioners with respect to project planning and management, such as how to efficiently create work flow, balance the production line, and satisfy various panel requirements to ensure smooth on-site operations. This paper thus explores an automated approach for construction planning in the production plant with the objective of improving productivity and balancing the production line, which achieves a seamless integration of building information modelling (BIM) and discrete-event simulation (DES). Specifically, a BIM-based special-purpose simulation (SPS) template for the production line is developed in Simphony.NET in order to facilitate more efficient modelling of the production line. The new simulation template provides a BIM-based interface which permits enriched information exchange between the BIM model and the simulation model. A case study of a production line for light gauge steel panels is presented to demonstrate the methodology. The simulation results show that proper production sequencing improves production performance, and that the newly developed simulation template is a useful planning tool for the panelized construction system.
Robust non-computability of dynamical systems and computability of robust dynamical systems
Creators: name: Graça, Daniel S.
name: Zhong, Ning
Publisher: name: arXiv
Year: 2023
Subjects: subject: Logic (math.LO)
subject: Logic in Computer Science (cs.LO)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: F.4.1; F.1.1
subject: 03D78 (Primary) 37D05, 34E10 (Secondary)

description: In this paper, we examine the relationship between the stability of the dynamical system $x^{\prime}=f(x)$ and the computability of its basins of attraction. We present a computable $C^{\infty}$ system $x^{\prime}=f(x)$ that possesses a computable and stable equilibrium point, yet whose basin of attraction is robustly non-computable in a neighborhood of $f$ in the sense that both the equilibrium point and the non-computability of its associated basin of attraction persist when $f$ is slightly perturbed. This indicates that local stability near a stable equilibrium point alone is insufficient to guarantee the computability of its basin of attraction. However, we also demonstrate that the basins of attraction associated with a structurally stable - globally stable (robust) - planar system defined on a compact set are computable. Our findings suggest that the global stability of a system and the compactness of the domain play a pivotal role in determining the computability of its basins of attraction.
description: arXiv admin note: text overlap with arXiv:2109.15080
Patient reported symptoms associated with quality of life during chemo- or immunotherapy for bladder cancer patients with advanced disease
Creators: name: Pappot, H.
name: Basch, E.
name: Dueck, A.
name: Lindberg, H.
name: Taarnhøj, G.A.
name: Johansen, C.
Publisher: name: Blackwell Publishing Ltd
Year: 2020

description: Background: Bladder cancer (BC) patients with advanced disease have poor outcomes. The use of patient-reported outcomes (PROs) could lead to improvements in symptom management and hence quality of life (QoL). The aim of this study is to report correlations between selected PROs and QoL and thus to present symptoms that influence QoL. Identification of these symptoms during treatment can lead to earlier symptom management and thus secure improvements in QoL. Methods: BC patients in chemo- or immunotherapy for locally advanced or metastatic disease reported weekly PROs for the duration of their treatment. The PROs included EORTC QLQ-C30 and QLQ-BLM30 and 45 selected PRO-CTCAE items. Spearman's correlation analysis was performed for all PRO-CTCAE items and QLQ-C30 global QoL and subdomains. Results: In this study, 78 BC patients reported 724 questionnaires. Spearman's analysis showed significant correlations between almost all PRO-CTCAE items and the expected domain of QoL. The PRO-CTCAE items with the strongest correlations with QoL were anxiety (F, frequency item) and emotional function (rs = −0.603, P '.0001), concentration (S, severity item) and cognitive function (rs = −0.704, P '.0001), discouraged (F) and emotional function (rs = −0.659, P '.0001), fatigue (S) and role function (rs = −0.659, P '.0001) and sad (F) and emotional function (rs = −0.711, P '.0001). The weakest correlations were found for the PRO-CTCAE items urinary frequency, incontinence and urge, all with variations in the direction and significance of the correlations. Conclusions: This study delivers information on which PROs may influence QoL for patients in clinical trials or daily clinic. Psychological issues have a strong impact on QoL and should be dealt with during treatment to secure the best possible QoL for BC patients.
Link Residual Closeness of Harary Graphs
Creators: name: Dangalchev, Ch.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Discrete Mathematics (cs.DM)
subject: FOS: Computer and information sciences
subject: 90C35

description: The study of networks characteristics is an important subject in different fields, like math, chemistry, transportation, social network analysis etc. The residual closeness is one of the most sensitive measure of graphs vulnerability. In this article we calculate the link residual closeness of Harary graphs.
description: 15 pages
Use of Patient-Reported Outcomes to Understand & Measure the Patient Experience of Novel Cell and Gene Therapies
Creators: name: Campbell, A.
name: Wu, J.J.
name: Stewart, M.
name: Leahy, A.B.
name: Hudgens, S.
name: Basch, E.
name: Allen, J.
name: Lasiter, L.
Publisher: name: Springer Science and Business Media Deutschland GmbH
Year: 2020

description: Patient reported outcomes (PROs) are the gold standard for assessing patients’ experience of treatment in oncology, defined in the 21st Century Cures Act as information about patients’ experiences with a disease or condition, including the impact of a disease or condition, or a related therapy or clinical investigation on patients’ lives; and patient preferences with respect to treatment of their disease or condition [1]. PROs provide a comprehensive assessment of the benefits and risks of new medical products, as well as essential data to inform real-world use. Although RCTs are the ultimate source for information for evaluating products in development, they are not always feasible for rare diseases with few or no effective treatment options available. Thus, it is important to consider other measures that can help to improve the strength of evidence for cell and gene therapies targeting rare indications. While collection of PROs and other patient experience endpoints does not resolve the difficulty of conducting trials in small populations, doing so contributes empirical evidence that informs both product development and patient access. Additionally, including routine collection of PROs in registries may provide supplemental data to further characterize the benefit:risk profile of cell and gene therapies at follow-up times that would be infeasible to operationalize in a clinical trial setting.
Scoring systems in paediatric emergency care
Creators: name: Roland, Damian
Publisher: name: F1000Research
Year: 2016

description: The Utilisation of 'Early Warning Scores' in hospitals has prompted their use in the Emergency Departments but the evidence supporting this is very scant. Talk home points from the talk:	The terminology around 'scoring systems' is confused	Understanding the objective of scoring systems is vital to their correct use	Error due to cognitive biases influences their outcome	Searching for a perfect system may be a fruitless exercise.
Apartment classes of integral symplectic groups
Creators: name: Brück, Benjamin
name: Sroka, Robin J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Algebraic Topology (math.AT)
subject: Group Theory (math.GR)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11F75, 20E42, 55U10

description: In this note we present an alternative proof of a theorem of Gunnells, which states that the Steinberg module of $\operatorname{Sp_{2n}}(\mathbb{Q})$ is a cyclic $\operatorname{Sp_{2n}}(\mathbb{Z})$-module, generated by integral apartment classes.
description: v2: 16 pages. References updated. v3: accepted version, to appear in J. Topol. Anal
A program to reduce nurse attrition rate in a tertiary care emergency medicine department in Addis Ababa, Ethiopia
Creators: name: Finot  Debebe
name: Aklilu Azazh
name: Maskalyk, James
Publisher: name: F1000Research
Year: 2016

description: It is a study that intends to reduce nurse attrition rate in Black Lion Hospital. This is the first survey / needs assessment to improve the nurse attrtion rate in a Tertiary Emergency Center, Addis Ababa, Ethiopia.
Clinician vs Patient Reporting of Baseline and Postbaseline Symptoms for Adverse Event Assessment in Cancer Clinical Trials
Creators: name: Thanarajasingam, G.
name: Satele, D.V.
name: Basch, E.
name: Sloan, J.A.
name: Dueck, A.C.
name: Lafky, J.M.
name: Atkinson, T.M.
Publisher: name: American Medical Association
Year: 2020

description: Many patients enter cancer clinical trials with baseline symptoms. Notably, the current clinician reporting mechanism for symptomatic adverse events (AEs) via the Common Terminology Criteria for Adverse Events (CTCAE) does not formally distinguish between symptoms present at baseline vs those that develop during a trial. Therefore, AE estimation in clinical trials may include symptoms that predate trial entry. This raises concern that the cumulative incidence of patient-reported AEs may be high, particularly if preexisting symptoms related to other causes (eg, comorbidities, prior treatment) are attributed to study drugs.
NEOD001 demonstrates renal biomarker responses in a phase 1/2 study in patients with immunoglobulin light chain amyloidosis and persistent renal dysfunction
Creators: name: Liedtke, Michaela
name: Comenzo, Raymond L
name: Landau, Heather
name: Seldin, David
name: Weiss, Brendan
name: Zonder, Jeffrey
name: Walling, Jackie
name: Kinney, Gene
name: Koller, Martin
name: Morie A Gertz
Publisher: name: F1000Research
Year: 2016

description: To report results from the dose-escalation phase of an ongoing first-in-human phase 1/2 dose escalation/

expansion study of NEOD001 in patients with AL amyloidosis and persistent organ dysfunction (ClinicalTrials.gov NCT01707264)
Reporting Standards for Patient-Reported Outcomes in Clinical Trial Protocols and Publications
Creators: name: Basch, E.
name: Leahy, A.B.
Publisher: name: Oxford University Press
Year: 2019

description: Over the past 20 years, interest has grown to include patient-reported outcomes (PRO) in cancer clinical trials, evidenced by guidance documents from international regulatory authorities and a steady increase of PRO-based endpoints in protocols (eg, pain improvement). But is inclusion of PRO endpoints rigorous and systematic? Concerns have been raised previously about incomplete reporting of PRO results in clinical trial publications, which may reflect underlying design weaknesses. These concerns have prompted recent international collaborative efforts to standardize expectations for describing PRO endpoints in protocols and publications.
Aphid transcriptomics, proteomics and genome sequencing to identify candidate effectors
Creators: name: Thorpe, Peter
Publisher: name: F1000Research
Year: 2016

description: Talk presented at the 16th June 2016 NextGenBug Meeting in St Andrews. covering new Illumina DNA and RNA sequence data and salivory proteomic (LC-MS/MS) data for three aphid species M. cerasi, M. persicae and Rhopalosiphum padi.

Genome assemblies and gene predictions were compared against model pea aphid A. pisum and wheat aphid D. noxia, concluding typical gene count is in the region 25,000 to 28,000, with average gene length arround 2000bp (rather than arround 36,000 genes with average length 4000bp as in the first published annotation of A. pisum).

Putative secreted effector proteins used by the aphid to manipulate the plant host were identied, and appear to be located further away from nearest neighbouring genes on the genome than average.

Part of the work covered has been published in Thorpe et al (2016) BMC Genomics. DOI: 10.1186/s12864-016-2496-6.
Two sufficient conditions for graphs to admit path factors
Creators: name: Zhou, Sizhong
name: Wu, Jiancheng
Publisher: name: arXiv
Year: 2023
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C70, 05C38

description: Let $\mathcal{A}$ be a set of connected graphs. Then a spanning subgraph $A$ of $G$ is called an $\mathcal{A}$-factor if each component of $A$ is isomorphic to some member of $\mathcal{A}$. Especially, when every graph in $\mathcal{A}$ is a path, $A$ is a path factor. For a positive integer $d\geq2$, we write $\mathcal{P}_{\geq d}=\{P_i|i\geq d\}$. Then a $\mathcal{P}_{\geq d}$-factor means a path factor in which every component admits at least $d$ vertices. A graph $G$ is called a $(\mathcal{P}_{\geq d},m)$-factor deleted graph if $G-E'$ admits a $\mathcal{P}_{\geq d}$-factor for any $E'\subseteq E(G)$ with $|E'|=m$. A graph $G$ is called a $(\mathcal{P}_{\geq d},k)$-factor critical graph if $G-Q$ has a $\mathcal{P}_{\geq d}$-factor for any $Q\subseteq V(G)$ with $|Q|=k$. In this paper, we present two degree conditions for graphs to be $(\mathcal{P}_{\geq3},m)$-factor deleted graphs and $(\mathcal{P}_{\geq3},k)$-factor critical graphs. Furthermore, we show that the two results are best possible in some sense.
description: 11 pages
High Compliance Rates with Patient-Reported Outcomes in Oncology Trials Submitted to the US Food and Drug Administration
Creators: name: Basch, E.
Publisher: name: Oxford University Press
Year: 2019

description: There is increasing interest in collecting patient-reported outcomes (PROs) in oncology drug development trials to understand how participants feel and function during treatment. PRO information can inform assessments of tolerability via patient self-reported symptomatic adverse events (eg, using the NCI’s new Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse) and evaluations of efficacy by demonstrating improvements in disease-related symptoms or physical functioning. Well-established methods exist for developing PRO questionnaires, and for technologies to administer PRO questionnaires to patients electronically.