bluuebunny/crossref_metadata_2025_split huggingface dataset:
Verified First-Order Monitoring with Recursive Rules
Authors: Zingg Sheila , Krstić Srđan , Raszyk Martin , Schneider Joshua , Traytel Dmitriy 
Published: March 2022

AbstractFirst-order temporal logics and rule-based formalisms are two popular families of specification languages for monitoring. Each family has its advantages and only few monitoring tools support their combination. We extend metric first-order temporal logic (MFOTL) with a recursive let construct, which enables interleaving rules with temporal logic formulas. We also extend VeriMon, an MFOTL monitor whose correctness has been formally verified using the Isabelle proof assistant, to support the new construct. The extended correctness proof covers the interaction of the new construct with the existing verified algorithm, which is subtle due to the presence of the bounded future temporal operators. We demonstrate the recursive let’s usefulness on several example specifications and evaluate our verified algorithm’s performance against the DejaVu monitoring tool.
Adiar Binary Decision Diagrams in External Memory
Authors: Sølvsten Steffan Christ , de Pol Jaco van , Jakobsen Anna Blume , Thomasen Mathias Weller Berg 
Published: March 2022

AbstractWe follow up on the idea of Lars Arge to rephrase the Reduce and Apply operations of Binary Decision Diagrams (BDDs) as iterative I/O-efficient algorithms. We identify multiple avenues to simplify and improve the performance of his proposed algorithms. Furthermore, we extend the technique to other common BDD operations, many of which are not derivable using Apply operations alone. We provide asymptotic improvements to the few procedures that can be derived using Apply.Our work has culminated in a BDD package named Adiar that is able to efficiently manipulate BDDs that outgrow main memory. This makes Adiar surpass the limits of conventional BDD packages that use recursive depth-first algorithms. It is able to do so while still achieving a satisfactory performance compared to other BDD packages: Adiar, in parts using the disk, is on instances larger than 9.5 GiB only 1.47 to 3.69 times slower compared to CUDD and Sylvan, exclusively using main memory. Yet, Adiar is able to obtain this performance at a fraction of the main memory needed by conventional BDD packages to function.
Progress on Software Verification: SV-COMP 2022
Authors: Beyer Dirk 
Published: March 2022

AbstractThe 11th edition of the Competition on Software Verification (SV-COMP 2022) provides the largest ever overview of tools for software verification. The competition is an annual comparative evaluation of fully automatic software verifiers for C and Java programs. The objective is to provide an overview of the state of the art in terms of effectiveness and efficiency of software verification, establish standards, provide a platform for exchange to developers of such tools, educate PhD students on reproducibility approaches and benchmarking, and provide computing resources to developers that do not have access to compute clusters. The competition consisted of 15 648 verification tasks for C programs and 586 verification tasks for Java programs. Each verification task consisted of a program and a property (reachability, memory safety, overflows, termination). The new category on data-race detection was introduced as demonstration category. SV-COMP 2022 had 47 participating verification systems from 33 teams from 11 countries.
LART: Compiled Abstract Execution
Authors: Lauko Henrich , Ročkai Petr 
Published: March 2022

Abstractlart – llvm abstraction and refinement tool – originates from the divine model-checker [5, 7], in which it was employed as an abstraction toolchain for the llvm interpreter. In this contribution, we present a stand-alone tool that does not need a verification backend but performs the verification natively. The core idea is to instrument abstract semantics directly into the program and compile it into a native binary that performs program analysis. This approach provides a performance gain of native execution over the interpreted analysis and allows compiler optimizations to be employed on abstracted code, further extending the analysis efficiency. Compilation-based abstraction introduces new challenges solved by lart, like domain interaction of concrete and abstract values simulation of nondeterministic runtime or constraint propagation.
The strong couplings of massive Yang-Mills theory
Authors: Hell Anamaria 
Published: March 2022

Abstract
We study the massive Yang-Mills theory in which the mass term is added by hand. The standard perturbative approach suggests that the massless limit of this theory is not smooth. We confirm that this issue is related to the existence of additional degrees of freedom, which are absent in the massless theory. Nevertheless, we show that the longitudinal modes become strongly coupled at the Vainshtein scale, which coincides with the scale of the unitarity violation. Beyond this scale, they decouple from the remaining degrees of freedom, and the massless theory is restored up to small corrections. From here, it follows that the apparent discontinuity in the massless limit is only an artefact of the perturbation theory. The massless limit of massive Yang-Mills theory is smooth, as originally proposed in [21].
A note on h2,1 of divisors in CY fourfolds. Part I
Authors: Kim Manki 
Published: March 2022

Abstract
In this note, we prove combinatorial formulas for the Hodge number h2,1 of prime toric divisors in an arbitrary toric hypersurface Calabi-Yau fourfold Y4. We show that it is possible to find a toric hypersurface Calabi-Yau in which there are more than h1,1(Y4) non-perturbative superpotential terms with trivial intermediate Jacobian. Hodge numbers of divisors in toric complete intersection Calabi-Yaus are the subjects of the sequel.
Radiative natural supersymmetry emergent from the string landscape
Authors: Baer Howard , Barger Vernon , Martinez Dakotah , Salam Shadman 
Published: March 2022

AbstractIn string theory with flux compactifications, anthropic selection for structure formation from a discretuum of vacuum energy values provides at present our only understanding of the tiny yet positive value of the cosmological constant. We apply similar reasoning to a toy model of the multiverse restricted to vacua with the MSSM as the low energy effective theory. Here, one expects a statistical selection favoring large soft SUSY breaking terms leading to a derived value of the weak scale in each pocket universe (with appropriate electroweak symmetry breaking) which differs from the weak scale as measured in our universe. In contrast, the SUSY preservingμparameter is selected uniformly on a log scale as is consistent with the distribution of SM fermion masses: this favors smaller values ofμ. An anthropic selection of the weak scale to within a factor of a few of our measured value — in order to produce complex nuclei as we know them (atomic principle) — provides statistical predictions for Higgs and sparticle masses in accord with LHC measurements. The statistical selection then more often leads to (radiatively-driven)naturalSUSY models over the Standard Model or finely-tuned SUSY models such as mSUGRA/CMSSM, split, mini-split, spread, high scale or PeV SUSY. The predicted Higgs and superparticle spectra might be testable at HL-LHC or ILC via higgsino pair production but is certainly testable at higher energy hadron colliders with$$ \sqrt{s} $$s∼ 30–100 TeV.
A new Higgs effective field theory and the new no-lose theorem
Authors: Kanemura Shinya , Nagai Ryo 
Published: March 2022

Abstract
Non-decoupling effects of heavy new particles cannot be described by the standard effective field theory with finite truncation of higher dimensional operators. We propose a new effective field theory in which non-decoupling quantum effects of new physics are correctly described. We discuss vacuum stability and perturbative unitarity in our effective field theory, and we find that the scale of new physics can be estimated if we will observe the Higgs coupling deviation via non-decoupling effects in future collider experiments.
Partial Data Problems and Unique Continuation in Scalar and Vector Field Tomography
Authors: Ilmavirta Joonas , Mönkkönen Keijo 
Published: March 2022

AbstractWe prove that if P(D) is some constant coefficient partial differential operator and f is a scalar field such that P(D)f vanishes in a given open set, then the integrals of f over all lines intersecting that open set determine the scalar field uniquely everywhere. This is done by proving a unique continuation property of fractional Laplacians which implies uniqueness for the partial data problem. We also apply our results to partial data problems of vector fields.
Exterior Dirichlet and Neumann Problems and the Linked Ergodic Inverse Problems in the Entire Space
Authors: Butzer Paul L. , Stens Rudolf L. 
Published: March 2022

AbstractThe paper is mainly concerned with the interconnection of the boundary behaviour of the solutions of the exterior Dirichlet and Neumann problems of harmonic analysis for the unit disk in $${\mathbb {R}}^2$$

R

2

and the unit ball in $${\mathbb {R}}^3$$

R

3

with the corresponding behaviour of the associated ergodic inverse problems for the entire space. The basis is the theory of semigroups of linear operators mapping a Banach space X into itself. The classical one-parameter theory for semigroups applies in the present particular applications, actually for $$X= L^2_{2\pi }$$

X
=

L

2
π

2

in case of the unit disk, and $$X=L^2(S)$$

X
=

L
2

(
S
)

in the three dimensional setting, S being the unit sphere in $${\mathbb {R}}^3$$

R

3

. Another tool is a Drazin-like inverse operator B for the infinitesimal generator A of a semigroup that arises naturally in ergodic theory. This operator B is a closed, not necessarily bounded, operator. It was introduced in a paper with Butzer and Westphal (Indiana Univ Math J 20:1163–1174, 1970/1971) and extended to a generalized setting with Butzer and Koliha (J Oper Theory 62:297–326, 2009).
Minding the gap(s): public perceptions of AI and socio-technical imaginaries
Authors: Sartori Laura , Bocca Giulia 
Published: March 2022

AbstractDeepening and digging into the social side of AI is a novel but emerging requirement within the AI community. Future research should invest in an “AI for people”, going beyond the undoubtedly much-needed efforts into ethics, explainability and responsible AI. The article addresses this challenge by problematizing the discussion around AI shifting the attention to individuals and their awareness, knowledge and emotional response to AI. First, we outline our main argument relative to the need for a socio-technical perspective in the study of AI social implications. Then, we illustrate the main existing narratives of hopes and fears associated with AI and robots. As building blocks of broader “sociotechnical imaginaries”, narratives are powerful tools that shape how society sees, interprets and organizes technology. An original empirical study within the University of Bologna collects the data to examine the levels of awareness, knowledge and emotional response towards AI, revealing interesting insights to be carried on in future research. Replete with exaggerations, both utopian and dystopian narratives are analysed with respect to some relevant socio-demographic variables (gender, generation and competence). Finally, focusing on two issues—the state of AI anxiety and the point of view of non-experts—opens the floor to problematizing the discourse around AI, sustaining the need for a sociological perspective in the field of AI and discussing future comparative research.
Tafasitamab mediates killing of B-cell non-Hodgkin’s lymphoma in combination with γδ T cell or allogeneic NK cell therapy
Authors: Her Jung Hyun , Pretscher Dominik , Patra-Kneuer Maria , Schanzer Juergen , Cho Sung Yoo , Hwang Yu Kyeong , Hoeres Timm , Boxhammer Rainer , Heitmueller Christina , Wilhelm Martin , Steidl Stefan , Endell Jan 
Published: March 2022

AbstractTafasitamab is an Fc-modified monoclonal antibody that binds to CD19, a cell-surface antigen that is broadly expressed on various types of B-cell non-Hodgkin’s lymphoma (NHL). Antibody-dependent cellular cytotoxicity (ADCC), a key mode of action of tafasitamab, is mediated through the binding of tafasitamab’s Fc region to FcγRIIIa receptors on immune effector cells and results in antitumor activity. Despite the proven clinical activity of tafasitamab in combination with lenalidomide in the treatment of diffuse large B-cell lymphoma (DLBCL), a higher number of immune cells in cancer patients may improve the activity of tafasitamab. Here, we characterized two ex vivo-expanded FcγRIIIa receptor—expressing cell types—γδ T and MG4101 natural killer (NK) cells—as effector cells for tafasitamab in vitro, and found that in the presence of these cells tafasitamab was able to induce ADCC against a range of NHL cell lines and patient-derived cells. We also explored the concept of effector cell supplementation during tafasitamab treatment in vivo by coadministering MG4101 NK cells in Raji and Ramos xenograft models of NHL. Combination treatment of tafasitamab and allogeneic MG4101 NK cells in these models demonstrated a survival benefit compared with tafasitamab or MG4101 monotherapy (Raji: 1.7- to 1.9-fold increase in lifespan; Ramos: 2.0- to 4.1-fold increase in lifespan). In conclusion, adoptive cell transfer of ex vivo-expanded allogeneic NK or autologous γδ T cells in combination with tafasitamab treatment may potentially be a promising novel approach to increase the number of immune effector cells and enhance the antitumor effect of tafasitamab.
Reconceptualizing mind wandering from a switching perspective
Authors: Wong Yi-Sheng , Willoughby Adrian R. , Machado Liana 
Published: March 2022

AbstractMind wandering is a universal phenomenon in which our attention shifts away from the task at hand toward task-unrelated thoughts. Despite it inherently involving a shift in mental set, little is known about the role of cognitive flexibility in mind wandering. In this article we consider the potential of cognitive flexibility as a mechanism for mediating and/or regulating the occurrence of mind wandering. Our review begins with a brief introduction to the prominent theories of mind wandering—the executive failure hypothesis, the decoupling hypothesis, the process-occurrence framework, and the resource-control account of sustained attention. Then, after discussing their respective merits and weaknesses, we put forward a new perspective of mind wandering focused on cognitive flexibility, which provides an account more in line with the data to date, including why older populations experience a reduction in mind wandering. After summarizing initial evidence prompting this new perspective, drawn from several mind-wandering and task-switching studies, we recommend avenues for future research aimed at further understanding the importance of cognitive flexibility in mind wandering.
In vitro measurements of ultrafiltration precision in hemofiltration and hemodialysis devices used in infants
Authors: Crosier Jean , Whitaker Mike , Lambert Heather J. , Wellman Paul , Nyman Andrew , Coulthard Malcolm G. 
Published: March 2022

Abstract
Background
To determine in vitro whether infant hemofiltration and hemodialysis devices can reliably deliver precise ultrafiltration (UF) control.

Methods
We tested the Prismaflex, Aquarius and NIDUS devices which have different circuit types, by in vitro testing with a bag of saline set up as a dummy patient, and monitoring fluid shifts by precise weighing. We looked for differences between the UF rates set and achieved and between the UF result the device displays to the clinician and the true volumes removed, which may lead to clinical errors. We performed short studies at UF settings of zero and 40 ml/h, and with and without simulating poor withdrawal and return lines, and simulated a 4-h treatment session.

Results
The Prismaflex setting vs actual errors and display vs actual errors had wide variances, with SDs of 4.1 and 14.0 ml by 15 min, respectively, at both zero and 40 ml/h UF settings. The Aquarius values were wider at 17.3 and 30.3 ml, respectively. For the NIDUS, the mean UF errors were close to zero, and the variances were 0.17 ml. Stop-alarms induced by an obstructed line produced extra UF errors of up to 0.2 ml. A limitation was that we used crystalloid and not colloid for these tests.

Conclusions
Hemotherapy devices with conventional circuits available in the UK do not regulate UF control sufficiently well to recommend for use in small infants, but the NIDUS volumetrically controlled circuit does. All hemotherapy devices intended for small infants should be tested for UF precision. We were unable to test the CARPEDIEM or Aquadex devices.

Graphical Abstract
A higher resolution version of the Graphical abstract is available as Supplementary information
A review of critical issues in the design of lightweight flywheel rotors with composite materials
Authors: Li Xing , Mittelstedt Christian , Binder Andreas 
Published: March 2022

AbstractComposite materials are widely used to build high-performance flywheels due to their high material strength and low mass density. The high degrees of freedom in material selection, design, and manufacturing techniques lead to a variety of rotor structures. This paper presents the characteristics of different composite rotors and the critical considerations in terms of designing, manufacturing, and testing them. The introduction starts with the limitations of a single filament-wound composite rim. Then, various rotor structures are presented as well as the critical issues regarding the composite rim design, rim-shaft connection, and rotor failure in order to make safe design recommendations. The aim is to summarize the current techniques and provide references for further developments.
Combination of IL-34 and AFP improves the diagnostic value during the development of HBV related hepatocellular carcinoma
Authors: Liu Kehui , Ding Yezhou , Wang Yun , Zhao Qingqing , Yan Lei , Xie Jingdong , Liu Yunye , Xie Qing , Cai Wei , Bao Shisan , Wang Hui 
Published: March 2022

AbstractIL-34 involves in host immunity regulated carcinogenesis. Alpha-fetoprotein (AFP) is related to the development of HCC. We explored if combination of IL-34 and APF could improve the diagnostic value in HBV related hepatocellular carcinoma (HBV-HCC). Serum was obtained from HBV patients or healthy control. Liver tissue was obtained from liver biopsy in CHB, HBV related cirrhosis patients or curative resection in HBV-HCC patients. Serum IL-34 and MCSF, or intrahepatic IL-34, MCSF and CD68+ tumor associate macrophages (TAMs) were determined using ELISA or immunohistochemistry. Serum IL-34 was 1.7, 1.3 or 2.3-fold higher in HBV-HCC than that of CHB, HBV related cirrhosis or healthy control, which was inhibited following trans-hepatic arterial chemoembolization (TACE) in HBV-HCC patients. Intra-hepatic IL-34 was higher in HBV-HCC than that of the other three groups. Intra-hepatic IL-34 was associated with high HBV-DNA, HBeAg−, poor differentiation and small tumor size of HBV-HCC patients. Intra-hepatic TAMs in HBV-HCC were increased 1.7 or 1.3-fold, compared to that from CHB or HBV-cirrhosis patients. Intra-hepatic TAMs were associated with high HBV-DNA, high tumor differentiation, small tumor size, abnormal AFP and more tumor number. AFP plus serum IL-34, showed the highest AUC (0.837) with sensitivity (0.632) and highest specificity (0.931), suggesting that AFP plus IL-34 enhances the reliability for prediction of the development of HBV-HCC among CHB patients. Circulating and intra-hepatic IL-34 was upregulated gradually in HBV disease progression from CHB, cirrhosis and HCC. IL-34 may be used as a diagnostic biomarker and potential therapeutic target for the management of HBV-HCC.
Ethical Complexity of Social Change: Negotiated Actions of a Social Enterprise
Authors: Bhatt Babita 
Published: March 2022

AbstractThis paper investigates how social enterprises navigate through the ethical complexity of social change and extends the ethical quandaries faced by social enterprises (SEs) beyond organisational boundaries. Building on the emerging literature on the ethics of SEs, I conceptualise ethics as an engagement with power relations. I develop theoretical arguments to understand the interaction between ethical predispositions of a SE and the normative structure of the social system in which it operates. I applied this conceptualisation in a hierarchical and heterogeneous rural Indian context to provide insights into the moral ambiguity of ethical decision-making and suggest pathways for ethical actions. Taking a qualitative case study approach, I followed an exemplary SE’s implementation process in India. I observed ethical challenges in designing the implementation process (efficiency versus equality), selecting the beneficiaries (fairness versus power) and sustaining the programme (cooperation versus autonomy). I also identified three actions of the SE—the action of recognition, the action of reposition and the action of collaboration—and developed a transformative process model. I discuss the theoretical implications of this research for SEs and recommend a critical engagement with ethical theories to address systemic problems.
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests
Authors: Roland Theresa , Böck Carl , Tschoellitsch Thomas , Maletzky Alexander , Hochreiter Sepp , Meier Jens , Klambauer Günter 
Published: March 2022

AbstractMany previous studies claim to have developed machine learning models that diagnose COVID-19 from blood tests. However, we hypothesize that changes in the underlying distribution of the data, so called domain shifts, affect the predictive performance and reliability and are a reason for the failure of such machine learning models in clinical application. Domain shifts can be caused, e.g., by changes in the disease prevalence (spreading or tested population), by refined RT-PCR testing procedures (way of taking samples, laboratory procedures), or by virus mutations. Therefore, machine learning models for diagnosing COVID-19 or other diseases may not be reliable and degrade in performance over time. We investigate whether domain shifts are present in COVID-19 datasets and how they affect machine learning methods. We further set out to estimate the mortality risk based on routinely acquired blood tests in a hospital setting throughout pandemics and under domain shifts. We reveal domain shifts by evaluating the models on a large-scale dataset with different assessment strategies, such as temporal validation. We present the novel finding that domain shifts strongly affect machine learning models for COVID-19 diagnosis and deteriorate their predictive performance and credibility. Therefore, frequent re-training and re-assessment are indispensable for robust models enabling clinical utility.