bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficacy and safety of rituximab in myelin oligodendrocyte glycoprotein antibody-associated disorders compared with neuromyelitis optica spectrum disorder: a systematic review and meta-analysis
Authors: Spagni Gregorio , Sun Bo , Monte Gabriele , Sechi Elia , Iorio Raffaele , Evoli Amelia , Damato Valentina
Published: October 2022

Background

Rituximab (RTX) efficacy in patients with myelin oligodendrocyte glycoprotein (MOG) antibody-associated disorders (MOGADs) is still poorly understood, though it appears to be lower than in aquaporin-4-IgG-positive neuromyelitis optica spectrum disorders (AQP4-IgG+NMOSDs). The aim of this systematic review and meta-analysis is to assess the efficacy and safety profile of RTX in patients with MOGAD and to compare RTX efficacy between MOGAD and AQP4-IgG+NMOSD.

Methods

We searched original English-language articles published between 2012 and 2021 in MEDLINE, Cochrane, Central Register of Controlled Trials and clinicaltrials.gov, reporting data on RTX efficacy in patients with MOGAD. The main outcome measures were annualised relapse rate (ARR) and Expanded Disability Status Scale (EDSS) score mean differences (MDs) after RTX. The meta-analysis was performed with a random effects model. Covariates associated with the outcome measures were analysed with a linear meta-regression.

Results

The systematic review included 315 patients (138 women, mean onset age 26.8 years) from 32 studies. Nineteen studies (282 patients) were included in the meta-analysis. After RTX, a significant decrease of ARR was found (MD: −0.92, 95% CI –1.24 to –0.60, p<0.001), markedly different from the AQP4-IgG+NMOSD (MD: −1.73 vs MOGAD −0.92, subgroup difference testing: Q=9.09, p=0.002). However, when controlling for the mean ARR pre-RTX, this difference was not significant. After RTX, the EDSS score decreased significantly (MD: −0.84, 95% CI −1.41 to –0.26, p=0.004). The frequency of RTX-related adverse events was 18.8% (36/192) and overall RTX-related mortality 0.5% (1/192).

Conclusions

RTX showed effective in MOGAD, although to a lesser extent than in AQP4-IgG+NMOSD, while the safety profile warrants some caution in its prescription. Randomised-controlled trials are needed to confirm these findings and provide robust evidence to improve treatment strategies in patients with MOGAD.

PROSPERO registration number

CRD42020175439.
Impact of severe infections in SLE: an observational study from the Spanish national registry
Authors: Moreno-Torres Victor , Martínez-Urbistondo María , Gutiérrez-Rojas Angela , Castejón Raquel , Sánchez Enrique , Calderón-Parra Jorge , Durán-del Campo Pedro , Tutor Pablo , Mellor-Pita Susana , Vázquez-Comendador José , Vargas-Núñez Juan A , Ruiz-Irastorza Guillermo
Published: October 2022

Objective

Infections are a common complication of SLE. Our objective was to evaluate their causes and impact on the survival of patients with SLE.

Methods

Analysis of the admissions and death causes in patients diagnosed with SLE from the Spanish Hospital Discharge Database and the infection-related deaths of the Spanish population from the National Statistical Institute, between 2016 and 2018.

Only infections recorded as the main diagnosis were analysed (severe or clinically relevant infection).

Results

Among 18 430 admissions in patients with SLE, disease activity was the cause of admission in 19% of all patients and infection in 15%. However, infection was the main cause of death (25%) while SLE activity was responsible for only 6% of deaths (p<0.001). Severe infection exceeded SLE as a cause of death for patients dying at ages between 40–59 (23% vs 4%, p<0.001), 60–79 (26% vs 6%, p<0.001) and older than 80 years (25% vs 6%, p<0.001). Infection was the cause of death in 8% of the Spanish population, a significantly lower rate when compared with patients with SLE (p<0.001). Compared with the general population, infections were the highest relative cause of death in patients with SLE, particularly at younger ages: 40% vs 3% for those below 20 years old (p<0.01), 33% vs 4% between 20 and 39 (p<0.001), 23% vs 5% between 40 and 59 (p<0.001), 26% vs 5% between 60 and 79 (p<0.001) and 25% vs 9% for those older than 80 years (p<0.001).

Conclusion

Our nationwide study confirms that infections are the leading cause of death in SLE in Spain, with the highest proportion occurring in young patients with lupus compared with the general population of the same age range.
Selective androgen receptor modulation for muscle weakness in chronic obstructive pulmonary disease: a randomised control trial
Authors: Mohan Divya , Rossiter Harry , Watz Henrik , Fogarty Charles , Evans Rachael A , Man William , Tabberer Maggie , Beerahee Misba , Kumar Subramanya , Millns Helen , Thomas Sebin , Tal-Singer Ruth , Russell Alan J , Holland Marie Claire , Akinseye Chika , Neil David , Polkey Michael I
Published: October 2022

Background

Selective androgen receptor modulators (SARMs) increase muscle mass via the androgen receptor. This phase 2A trial investigated the effects of a SARM, GSK2881078, in conjunction with exercise, on leg strength in patients with chronic obstructive pulmonary disease (COPD) and impaired physical function.

Methods

47 postmenopausal women and 50 men with COPD (forced expiratory volume in 1 s 30%–65% predicted; short physical performance battery score: 3–11) were enrolled into a randomised double-blind, placebo control trial. Patients were randomised 1:1 to once daily placebo or oral GSK2881078 (females: 1.0 mg; males: 2.0 mg) for 13 weeks with a concurrent home-exercise programme, involving strength training and physical activity. Primary endpoints were change from baseline in leg strength at 90 days (one-repetition maximum; absolute (kg) and relative (% change)) and multiple safety outcomes. Secondary endpoints included lean body mass, physical function and patient-reported outcomes.

Results

GSK2881078 increased leg strength in men. The difference in adjusted mean change from baseline and adjusted mean percentage change from baseline between treatment and placebo were: for women, 8.0 kg (90% CI −2.5 to 18.4) and 5.2% (90% CI −4.7 to 15.0), respectively; for men, 11.8 kg (90% CI −0.5 to 24.0) and 7.0% (90% CI 0.5 to 13.6), respectively. Lean body mass increased, but no changes in patient-reported outcomes were observed. Reversible reductions in high-density lipoprotein-cholesterol and transient elevations in hepatic transaminases were the main treatment-related safety findings.

Conclusions

GSK2881078 was well tolerated and short-term treatment increased leg strength, when expressed as per cent predicted, in men with COPD more than physical training alone.

Trial registration number

NCT03359473.
Pediatric intestinal obstruction: analysis of etiologies and factors influencing short-term outcomes in Rwanda
Authors: Twahirwa Isaie , Ndayiragije Cyriaque , Nyundo Martin , Rickard Jennifer , Ntaganda Edmond
Published: October 2022

Background

Intestinal obstruction is a common presentation in pediatric surgical emergencies and presents with different etiologies depending on country or region. Its morbidity and mortality are high in low-income and middle-income countries, with variable influencing factors. The aims of this study were to determine the etiologies, morbidity and mortality of pediatric intestinal obstruction and to assess the factors associated with the outcomes of these conditions in Rwanda.

Methods

This was a cross-sectional study conducted on pediatric patients with intestinal obstruction in two Rwandan university teaching hospitals. The patients were followed from admission until discharge, and we documented their basic characteristics, diagnosis, operative details and postoperative outcomes. Data were collected using data collection form and were electronically captured and analysed using SPSS software.

Results

A total of 65 patients were enrolled in this study. They were predominantly male (n=49, 75.4%), and the majority of patients (86.2%) were below age 6 years. Intussusception was the most common etiology (n=22, 33.8%). Other common etiologies were Hirschsprung’s disease (n=13, 20%), incarcerated inguinal and umbilical hernias (n=6, 9.2%), intestinal worms’ impaction (n=5, 7.7%) and adhesions (n=5, 7.7%). Mortality and morbidity were 9.2% and 39.7%, respectively. The most common complications were surgical site infection (n=6, 9.5%) and sepsis (n=6, 9.5%). Preoperative anemia (p=0.001), finding of gangrenous bowels (p=0.003) and bowel resection at the time of laparotomy (p=0.039) were factors associated with postoperative complications.

Conclusions

The etiologies of intestinal obstruction are variable and common in children below 6 years in Rwanda. The associated morbidly is high and is influenced by the preoperative anemia, finding of gangrenous bowels and bowel resection.
Nonextensive hydrodynamics of boost-invariant plasmas
Authors: Alqahtani Mubarak , Demir Nasser , Strickland Michael
Published: October 2022

We use quasiparticle anisotropic hydrodynamics to study the non-conformal and non-extensive dynamics of a system undergoing boost-invariant Bjorken expansion. To introduce nonextensivity, we use an underlying Tsallis distribution with a time-dependent nonextensivity parameter q. By taking moments of the quasiparticle Boltzmann equation in the relaxation-time approximation, we obtain dynamical equations which allow us to determine the time evolution of all microscopic parameters including q. We compare numerical solutions for bulk observables obtained using the nonextensive evolution with results obtained using quasiparticle anisotropic hydrodynamics with a Boltzmann distribution function ($$q \rightarrow 1$$

q
→
1

). We show that the evolution of the temperature, pressure ratio, and scaled energy density, are quite insensitive to which distribution function is assumed. However, we find significant differences in the early-time evolution of the bulk pressure which are observed for even small deviations from the Boltzmann distribution function. Finally, we discuss the existence of non-conformal hydrodynamic attractors for the longitudinal and transverse pressures, the bulk and shear viscous corrections, and the nonextensivity parameter q.
New trapezoid-shaped Frisch-grid ionization chamber for low-energy particle measurements
Authors: Qiu Tianli , Yang Yuansheng , Yuan Xiaohua , Ma Peng , Li Meng , Zhang Junwei , Guo Dong , Yang Yuxuan , Wei Xianglun , He Zhoubo , Yin Xiaohao , Huang Xinjie , Zou Haichuan , Li Zhijie , He Zhixuan , Lu Chengui , Hu Rongjiang , Ong Hooi Jin , Yang Herun , Xiao Zhigang , Wang Hongwei , Duan Limin
Published: October 2022

A new trapezoid-shaped Frisch-grid ionization chamber (TFG-IC) has been built as a part of a $$\varDelta {E}-E$$

Δ
E
-
E

telescope system for the detection and identification of charged particles at energies down to a few MeV. To study the effect of the drift electric field uniformity, two types of sealed windows, namely a pair of SSA (split-strip aluminized mylar film) and a pair of DSA (double-sided aluminized mylar film) sealed windows have been investigated. The detector’s performances were studied using a standard $$^{241}$$

241

Am source at different gas pressures, and the total energy-deposit resolution achieved is about 1.1%(FWHM). The $$\varDelta {E}-E$$

Δ
E
-
E

telescope, which was composed of TFG-IC and a DSSSD (double-sided silicon strip detector), has been tested using a three-component $$\alpha $$
α
source and the $$^{241}$$

241

Am source under laboratory conditions. The results show that the energy resolution with the SSA sealed windows which provide uniform drift electric field has a smaller fluctuation than that with the DSA ones; the fluctuations are about 1% and 4% for the former and the latter, respectively. Simulations using the COMSOL software also confirmed the electric-field distortion at the edge of the detector with the DSA windows. A correlation curve between energy resolution and energy deposit of charged particles at various gas pressures and for two gas species is derived for TFG-IC with the SSA sealed windows using the measurement with the $$^{241}$$

241

Am source. Incorporating the above results, we performed Monte Carlo simulations to evaluate the particle-identification capability of the telescope. The results show that the telescope can be extended to the identification of low-energy particles.
ggViz: Accelerating Large-Scale Esports Game Analysis
Authors: Xenopoulos Peter , Rulff João , Silva Claudio
Published: October 2022

While esports organizations are increasingly adopting practices of conventional sports teams, such as dedicated analysts and data-driven decision-making, video-based game review is still the primary mode of game analysis. In conventional sports, advances in data collection have introduced systems that allow for sketch-based querying of game situations. However, due to data limitations, as well as differences in the sport itself, esports has seen a dearth of such systems. In this paper, we leverage player tracking data for Counter-Strike: Global Offensive (CSGO) to develop ggViz, a visual analytics system that allows users to query a large esports data set through game state sketches to find similar game states. Users are guided to game states of interest using win probability charts and round icons, and can summarize collections of states through heatmaps. We motivate our design through interviews with esports experts to especially address the issue of game review. We demonstrate ggViz's utility through detailed case studies and expert interviews with coaches, managers, and analysts from professional esports teams.
Gooey Gut Trail: Board Game Play to Understand Human-Microbial Interactions
Authors: Pasumarthy Nandini , Patibanda Rakesh , Tai Yi Ling (Ellie) , van den Hoven Elise , Danaher Jessica , Khot Rohit Ashok
Published: October 2022

Our gastrointestinal health is influenced by complex interactions between our gut bacteria and multiple external factors. A wider understanding of these concepts is vital to help make gut-friendly decisions in everyday life; however, its complexity can challenge public understanding if not approached systematically. Research suggests that board games can help to playfully navigate complex subjects. We present Gooey Gut Trail (GGT), a board game to help players understand the multifactorial interactions that influence and sustain gut microbial diversity. Through the embodied enactment of in-game activities, players learn how their habits surrounding diet, physical activity, emotions, and lifestyle influence the gut microbial population. A qualitative field study with 15 participants revealed important facets of our game design that increased participants' awareness, causing them to reflect upon their habits that influence gut health. Drawing upon the study insights, we present five design considerations to aid future playful explorations on nurturing human-microbial relationships.
Compositional virtual timelines: verifying dynamic-priority partitions with algorithmic temporal isolation
Authors: Liu Mengqi , Shao Zhong , Chen Hao , Yoon Man-Ki , Kim Jung-Eun
Published: October 2022

Real-time systems power safety-critical applications that require strong isolation among each other. Such isolation needs to be enforced at two orthogonal levels. On the micro-architectural level, this mainly involves avoiding interference through micro-architectural states, such as cache lines. On the algorithmic level, this is usually achieved by adopting real-time partitions to reserve resources for each application. Implementations of such systems are often complex and require formal verification to guarantee proper isolation.

In this paper, we focus on algorithmic isolation, which is mainly related to scheduling-induced interferences. We address earliest-deadline-first (EDF) partitions to achieve compositionality and utilization, while imposing constraints on tasks' periods and enforcing budgets on these periodic partitions to ensure isolation between each other. The formal verification of such a real-time OS kernel is challenging due to the inherent complexity of the dynamic priority assignment on the partition level. We tackle this problem by adopting a dynamically constructed abstraction to lift the reasoning of a concrete scheduler into an abstract domain. Using this framework, we verify a real-time operating system kernel with budget-enforcing EDF partitions and prove that it indeed ensures isolation between partitions. All the proofs are mechanized in Coq.
Compositional embeddings of domain-specific languages
Authors: Sun Yaozhu , Dhandhania Utkarsh , Oliveira Bruno C. d. S.
Published: October 2022

A common approach to defining domain-specific languages (DSLs) is via a direct embedding into a host language. There are several well-known techniques to do such embeddings, including shallow and deep embeddings. However, such embeddings come with various trade-offs in existing programming languages. Owing to such trade-offs, many embedded DSLs end up using a mix of approaches in practice, requiring a substantial amount of code, as well as some advanced coding techniques.

In this paper, we show that the recently proposed Compositional Programming paradigm and the CP language provide improved support for embedded DSLs. In CP we obtain a new form of embedding, which we call a compositional embedding, that has most of the advantages of both shallow and deep embeddings. On the one hand, compositional embeddings enable various forms of linguistic reuse that are characteristic of shallow embeddings, including the ability to reuse host-language optimizations in the DSL and add new DSL constructs easily. On the other hand, similarly to deep embeddings, compositional embeddings support definitions by pattern matching or dynamic dispatching (including dependent interpretations, transformations, and optimizations) over the abstract syntax of the DSL and have the ability to add new interpretations. We illustrate an instance of compositional embeddings with a DSL for document authoring called ExT. The DSL is highly flexible and extensible, allowing users to create various non-trivial extensions easily. For instance, ExT supports various extensions that enable the production of wiki-like documents, LaTeX documents, vector graphics or charts. The viability of compositional embeddings for ExT is evaluated with three applications.
Wildcards need witness protection
Authors: Bierhoff Kevin
Published: October 2022

In this paper, we show that the unsoundness discovered by Amin and Tate (2016) in Java’s wildcards is avoidable, even in the absence of a nullness-aware type system.
The key insight of this paper is that soundness in type systems that implicitly introduce existential types through subtyping hinges on still making sure there are suitable witness types when introducing existentially quantified type variables.
To show that this approach is viable, this paper formalizes a core calculus and proves it sound.
We used a static analysis based on our approach to look for potential issues in a vast corpus of Java code and found
none
(with 1 false positive).
This confirms both that Java's unsoundness has minimal practical consequence,
and that our approach can avoid it entirely with minimal false positives.
MLstruct: principal type inference in a Boolean algebra of structural types
Authors: Parreaux Lionel , Chau Chun Yin
Published: October 2022

Intersection and union types are becoming more popular by the day, entering the mainstream in programming languages like TypeScript and Scala 3. Yet, no language so far has managed to combine these powerful types with principal polymorphic type inference. We present a solution to this problem in MLstruct, a language with subtyped records, equirecursive types, first-class unions and intersections, class-based instance matching, and ML-style principal type inference. While MLstruct is mostly structurally typed, it contains a healthy sprinkle of nominality for classes, which gives it desirable semantics, enabling the expression of a powerful form of extensible variants that does not need row variables. Technically, we define the constructs of our language using conjunction, disjunction, and negation connectives, making sure they form a Boolean algebra, and we show that the addition of a few nonstandard but sound subtyping rules gives us enough structure to derive a sound and complete type inference algorithm. With this work, we hope to foster the development of better type inference for present and future programming languages with expressive subtyping systems.
Verified compilation of Quantum oracles
Authors: Li Liyi , Voichick Finn , Hietala Kesha , Peng Yuxiang , Wu Xiaodi , Hicks Michael
Published: October 2022

Quantum algorithms often apply classical operations, such as arithmetic or predicate checks, over a quantum superposition of classical data; these so-called oracles are often the largest components of a quantum program. To ease the construction of efficient, correct oracle functions, this paper presents VQO, a high-assurance framework implemented with the Coq proof assistant. The core of VQO is OQASM, the oracle quantum assembly language. OQASM operations move qubits between two different bases via the quantum Fourier transform, thus admitting important optimizations, but without inducing entanglement and the exponential blowup that comes with it. OQASM’s design enabled us to prove correct VQO’s compilers—from a simple imperative language called OQIMP to OQASM, and from OQASM to SQIR, a general-purpose quantum assembly language—and allowed us to efficiently test properties of OQASM programs using the QuickChick property-based testing framework. We have used VQO to implement a variety of arithmetic and geometric operators that are building blocks for important oracles, including those used in Shor’s and Grover’s algorithms. We found that VQO’s QFT-based arithmetic oracles require fewer qubits, sometimes substantially fewer, than those constructed using “classical” gates; VQO’s versions of the latter were nevertheless on par with or better than (in terms of both qubit and gate counts) oracles produced by Quipper, a state-of-the-art but unverified quantum programming platform.
A fast in-place interpreter for WebAssembly
Authors: Titzer Ben L.
Published: October 2022

WebAssembly (Wasm) is a compact, well-specified bytecode format that offers a portable compilation target with near-native execution speed. The bytecode format was specifically designed to be fast to parse, validate, and compile, positioning itself as a portable alternative to native code. It was pointedly not designed to be interpreted directly. Instead, design considerations at the time focused on competing with native code, utilizing optimizing compilers as the primary execution tier. Yet, in JIT scenarios, compilation time and memory consumption critically impact application startup, leading many Wasm engines to later deploy faster single-pass (baseline) compilers. Though faster, baseline compilers still take time and waste code space for infrequently executed code. A typical interpreter being infeasible, some engines resort to compiling Wasm not to machine code, but to a more compact, but easy to interpret format. This still takes time and wastes memory. Instead, we introduce in this article a fast in-place interpreter for WebAssembly, where no rewrite and no separate format is necessary. Our evaluation shows that in-place interpretation of Wasm code is space-efficient and fast, achieving performance on-par with interpreting a custom-designed internal format. This fills a hole in the execution tier space for Wasm, allowing for even faster startup and lower memory footprint than previous engine configurations.
The road not taken: exploring alias analysis based optimizations missed by the compiler
Authors: Chitre Khushboo , Kedia Piyus , Purandare Rahul
Published: October 2022

Context-sensitive inter-procedural alias analyses are more precise than intra-procedural alias analyses. However, context-sensitive inter-procedural alias analyses are not scalable. As a consequence, most of the production compilers sacrifice precision for scalability and implement intra-procedural alias analysis. The alias analysis is used by many compiler optimizations, including loop transformations. Due to the imprecision of alias analysis, the program’s performance may suffer, especially in the presence of loops.

Previous work proposed a general approach based on code-versioning with dynamic checks to disambiguate pointers at runtime. However, the overhead of dynamic checks in this approach is O(log n), which is substantially high to enable interesting optimizations. Other suggested approaches, e.g., polyhedral and symbolic range analysis, have O(1) overheads, but they only work for loops with certain constraints. The production compilers, such as LLVM and GCC, use scalar evolution analysis to compute an O(1) range check for loops to resolve memory dependencies at runtime. However, this approach also can only be applied to loops with certain constraints.

In this work, we present our tool, Scout, that can disambiguate two pointers at runtime using single memory access. Scout is based on the key idea to constrain the allocation size and alignment during memory allocations. Scout can also disambiguate array accesses within a loop for which the existing O(1) range checks technique cannot be applied. In addition, Scout uses feedback from static optimizations to reduce the number of dynamic checks needed for optimizations.

Our technique enabled new opportunities for loop-invariant code motion, dead store elimination, loop vectorization, and load elimination in an already optimized code. Our performance improvements are up to 51.11% for Polybench and up to 0.89% for CPU SPEC 2017 suites. The geometric means for our allocator’s CPU and memory overheads for CPU SPEC 2017 benchmarks are 1.05%, and 7.47%, respectively. For Polybench benchmarks, the geometric mean of CPU and memory overheads are 0.21% and 0.13%, respectively.
The essence of online data processing
Authors: Dexter Philip , Liu Yu David , Chiu Kenneth
Published: October 2022

Data processing systems are a fundamental component of the modern computing stack. These systems are routinely deployed online: they continuously receive the requests of data processing operations, and continuously return the results to end users or client applications. Online data processing systems have unique features beyond conventional data processing, and the optimizations designed for them are complex, especially when data themselves are structured and dynamic. This paper describes DON Calculus, the first rigorous foundation for online data processing. It captures the essential behavior of both the backend data processing engine and the frontend application, with the focus on two design dimensions essential yet unique to online data processing systems: incremental operation processing (IOP) and temporal locality optimization (TLO). A novel design insight is that the operations continuously applied to the data can be defined as an operation stream flowing through the data structure, and this abstraction unifies diverse designs of IOP and TLO in one calculus. DON Calculus is endowed with a mechanized metatheory centering around a key observable equivalence property: despite the significant non-deterministic executions introduced by IOP and TLO, the observable result of DON Calculus data processing is identical to that of conventional data processing without IOP and TLO. Broadly, DON Calculus is a novel instance in the active pursuit of providing rigorous guarantees to the software system stack. The specification and mechanization of DON Calculus provide a sound base for the designers of future data processing systems to build upon, helping them embrace rigorous semantic engineering without the need of developing from scratch.
Consistency-preserving propagation for SMT solving of concurrent program verification
Authors: Sun Zhihang , Fan Hongyu , He Fei
Published: October 2022

The happens-before orders have been widely adopted to model thread interleaving behaviors of concurrent programs. A dedicated ordering theory solver, usually composed of theory propagation, consistency checking, and conflict clause generation, plays a central role in concurrent program verification. We propose a novel preventive reasoning approach that automatically preserves the ordering consistency and makes consistency checking and conflict clause generation omissible. We implement our approach in a prototype tool and conduct experiments on credible benchmarks; results reveal a significant improvement over existing state-of-the-art concurrent program verifiers.
Neurosymbolic repair for low-code formula languages
Authors: Bavishi Rohan , Joshi Harshit , Cambronero José , Fariha Anna , Gulwani Sumit , Le Vu , Radiček Ivan , Tiwari Ashish
Published: October 2022

Most users of low-code platforms, such as Excel and PowerApps, write programs in domain-specific formula languages to carry out nontrivial tasks. Often users can write most of the program they want, but introduce small mistakes that yield broken formulas. These mistakes, which can be both syntactic and semantic, are hard for low-code users to identify and fix, even though they can be resolved with just a few edits. We formalize the problem of producing such edits as the
last-mile repair
problem. To address this problem, we developed LaMirage, a LAst-MIle RepAir-engine GEnerator that combines symbolic and neural techniques to perform last-mile repair in low-code formula languages. LaMirage takes a grammar and a set of domain-specific constraints/rules, which jointly approximate the target language, and uses these to generate a repair engine that can fix formulas in that language. To tackle the challenges of localizing errors and ranking candidate repairs, LaMirage leverages neural techniques, whereas it relies on symbolic methods to generate candidate edits. This combination allows LaMirage to find repairs that satisfy the provided grammar and constraints, and then pick the most natural repair. We compare LaMirage to state-of-the-art neural and symbolic approaches on 400 real Excel and Power Fx formulas, where LaMirage outperforms all baselines. We release these benchmarks to encourage subsequent work in low-code domains.
Neural architecture search using property guided synthesis
Authors: Jin Charles , Phothilimthana Phitchaya Mangpo , Roy Sudip
Published: October 2022

Neural architecture search (NAS) has become an increasingly important tool within the deep learning community in recent years, yielding many practical advancements in the design of deep neural network architectures. However, most existing approaches operate within highly structured design spaces, and hence (1) explore only a small fraction of the full search space of neural architectures while also (2) requiring significant manual effort from domain experts. In this work, we develop techniques that enable efficient NAS in a significantly larger design space. In particular, we propose to perform NAS in an abstract search space of program properties. Our key insights are as follows: (1) an abstract search space can be significantly smaller than the original search space, and (2) architectures with similar program properties should also have similar performance; thus, we can search more efficiently in the abstract search space. To enable this approach, we also introduce a novel efficient synthesis procedure, which performs the role of concretizing a set of promising program properties into a satisfying neural architecture. We implement our approach, αNAS, within an evolutionary framework, where the mutations are guided by the program properties. Starting with a ResNet-34 model, αNAS produces a model with slightly improved accuracy on CIFAR-10 but 96% fewer parameters. On ImageNet, αNAS is able to improve over Vision Transformer (30% fewer FLOPS and parameters), ResNet-50 (23% fewer FLOPS, 14% fewer parameters), and EfficientNet (7% fewer FLOPS and parameters) without any degradation in accuracy.
Seq2Parse: neurosymbolic parse error repair
Authors: Sakkas Georgios , Endres Madeline , Guo Philip J. , Weimer Westley , Jhala Ranjit
Published: October 2022

We present Seq2Parse, a language-agnostic neurosymbolic approach to automatically repairing parse errors. Seq2Parse is based on the insight that
Symbolic
Error Correcting (EC) Parsers can, in principle, synthesize repairs, but, in practice, are overwhelmed by the many error-correction rules that are not
relevant
to the particular program that requires repair. In contrast,
Neural
approaches are fooled by the large space of possible sequence level edits, but can precisely pinpoint the set of EC-rules that
are
relevant to a particular program. We show how to combine their complementary strengths by using neural methods to train a sequence classifier that predicts the small set of relevant EC-rules for an ill-parsed program, after which, the symbolic EC-parsing algorithm can make short work of generating useful repairs. We train and evaluate our method on a dataset of 1,100,000 Python programs, and show that Seq2Parse is
accurate
and
efficient
: it can parse 94% of our tests within 2.1 seconds, while generating the exact user fix in 1 out 3 of the cases; and
useful
: humans perceive both Seq2Parse-generated error locations and repairs to be almost as good as human-generated ones in a statistically-significant manner.
This is the moment for probabilistic loops
Authors: Moosbrugger Marcel , Stankovič Miroslav , Bartocci Ezio , Kovács Laura
Published: October 2022

We present a novel static analysis technique to derive higher moments for program variables for a large class of probabilistic loops with potentially uncountable state spaces. Our approach is fully automatic, meaning it does not rely on externally provided invariants or templates. We employ algebraic techniques based on linear recurrences and introduce program transformations to simplify probabilistic programs while preserving their statistical properties. We develop power reduction techniques to further simplify the polynomial arithmetic of probabilistic programs and define the theory of moment-computable probabilistic loops for which higher moments can precisely be computed. Our work has applications towards recovering probability distributions of random variables and computing tail probabilities. The empirical evaluation of our results demonstrates the applicability of our work on many challenging examples.
Algorithm 1032: Bi-cubic Splines for Polyhedral Control Nets
Authors: Peters Jörg , Lo Kyle , Karčiauskas Kȩstutis
Published: October 2022

For control nets outlining a large class of topological polyhedra, not just tensor-product grids, bi-cubic polyhedral splines form a piecewise polynomial, first-order differentiable space that associates one function with each vertex. Akin to tensor-product splines, the resulting smooth surface approximates the polyhedron. Admissible polyhedral control nets consist of quadrilateral faces in a grid-like layout, star-configuration where
n
≠ 4 quadrilateral faces join around an interior vertex,
n
-gon configurations, where
2n
quadrilaterals surround an
n
-gon, polar configurations where a cone of
n
triangles meeting at a vertex is surrounded by a ribbon of
n
quadrilaterals, and three types of T-junctions where two quad-strips merge into one.

The bi-cubic pieces of a polyhedral spline have matching derivatives along their break lines, possibly after a known change of variables. The pieces are represented in Bernstein-Bézier form with coefficients depending linearly on the polyhedral control net, so that evaluation, differentiation, integration, moments, and so on, are no more costly than for standard tensor-product splines. Bi-cubic polyhedral splines can be used both to model geometry and for computing functions on the geometry. Although polyhedral splines do not offer nested refinement by refinement of the control net, polyhedral splines support engineering analysis of curved smooth objects. Coarse nets typically suffice since the splines efficiently model curved features. Algorithm 1032 is a C++ library with input-output example pairs and an IGES output choice.
Auto-Generated Coherent Data Store for ConcurrentModular Embedded Systems
Authors: Kimmet James S.
Published: October 2022

A thread-safe data store has been developed to enforce interface consistency and shared data coherency in a concurrent modular embedded real-time system. Typical messaging techniques may not provide optimal data transfer between software components in all embedded systems, especially if there is a high degree of data interdependency as the number of components increases. The data store paradigm reduces the overall communication load by providing finer data item granularity, and eliminating the copy and transfer of unused message content. The data store described in this paper is implemented with code auto-generation and provides compile-time error checking, ensuring effortless data integrity by automatically rebuilding when software component interfaces are changed. The data store has been successfully employed to rehost a highly-coupled legacy software application into a more modularized component architecture.
Fuzion - Safety through Simplicity
Authors: Siebert Dr. Fridtjof
Published: October 2022

Fuzion is a modern, general purpose programming language that unifies concepts found in structured, functional and object-oriented programming languages into the concept of a Fuzion feature. It combines a powerful syntax and safety features based on the design-by-contract principle with a simple intermediate representation that enables powerful optimizing compilers and static analysis tools to verify correctness aspects.

Fuzion maps different concepts into the concept of a Fuzion feature and uses a simple intermediate language that is friendly for static analysis tools as well as for optimizing compilers.

Fuzion was influenced by many other languages including Java, Python, Eiffel, Rust, Ada, Go, Lua, Kotlin, C#, F#, Nim, Julia, Clojure, C/C++, Scala, and many more. The goal of Fuzion is to define a language that has the expressive power present in these languages and allow high-performance implementation and powerful analysis tools. Furthermore, Fuzion addresses requirements for safety-critical applications by adding support for contracts that enable formal specification and detailed control over runtime checks.
Self-Propulsion of Chemically Active Droplets
Authors: Michelin Sébastien
Published: October 2022

Microscopic active droplets are able to swim autonomously in viscous flows. This puzzling feature stems from solute exchanges with the surrounding fluid via surface reactions or their spontaneous solubilization and from the interfacial flows resulting from these solutes’ gradients. Contrary to asymmetric active colloids, these isotropic droplets swim spontaneously by exploiting the nonlinear coupling of solute transport with self-generated Marangoni flows; such coupling is also responsible for secondary transitions to more complex individual and collective dynamics. Thanks to their simple design and their sensitivity to physico-chemical signals, these droplets are fascinating to physicists, chemists, biologists, and fluid dynamicists alike in analyzing viscous self-propulsion and collective dynamics in active-matter systems, developing synthetic cellular models, or performing targeted biomedical or engineering applications. I review here the most recent and significant developments of this rapidly growing field, focusing on the mathematical and physical modeling of these intriguing droplets, together with their experimental design and characterization.
Fasting/refeeding: an experimental model to study the impact of early thermal manipulation on hepatic metabolism in mule ducks
Authors: Andrieux Charlotte , Marchand Michaël , Larroquet Laurence , Veron Vincent , Biasutti Sandra , Barrieu Josette , Morganx Philippe , Morisson Mireille , Coustham Vincent , Panserat Stéphane , Houssier Marianne
Published: October 2022

An increase in egg incubation temperature was previously shown to enhance the metabolism of mule ducks and increase liver fattening after overfeeding, through a metabolic programming mechanism. Here, we examined whether fasting (F) followed by refeeding (RF) in 11-wk-old mule ducks could become an accelerated model to study the mechanisms of metabolic programming following embryonic thermal manipulation. This study investigated the hepatic response of mule ducks subjected to 23 h of fasting and 1 h of refeeding, in control or thermally programmed animals (with an increase of 1°C, 16 h per day from days 13 to 27 of embryogenesis). Liver weight and energy composition, hepatocyte structure, plasma parameters, and gene expression levels were measured at 1, 2, and 4 h after RF. All these parameters were strongly affected by RF, whereas significant impacts of embryonic programming were measured in cell size (+1 µm on average), lipid composition (+4.2% of saturated fatty acids 4 h after the meal), and relative gene expressions (including HK1, SCD1, ELOVL6, and FASN). In addition to confirming previously identified molecular targets of thermal manipulation, this study revealed new ones, thanks to kinetic sampling after RF. Finally, the detailed description of the impact of the F/RF challenge on the liver structure, composition, and gene expression, but also on plasma parameters allowed us to draw a parallel with these same traits measured during overfeeding. This comparative analysis suggests that this protocol could become a pertinent model to study the mechanisms involved in embryonic liver thermal programming, without overfeeding.
Nucleus Disc Replacement: Design and Material Selection FEA Analysis
Authors: Vanaclocha Amparo , Vanaclocha Vicente , Atienza Carlos M. , Clavel Pablo , Jorda-Gomez Pablo , Barrios Carlos , Saiz-Sapena Nieves , Vanaclocha Leyre
Published: October 2022

Study Design. We selected the materials and implant design and performed Finite Element Analysis (FEA) studies. Background. Nucleus disc replacements, implanted since 1960, have undergone continuous evolution in materials and designs, but subsidence, extrusion, and in vivo degradation limit widespread use. Aim. The aim of this study is to create a new nucleus disc replacement that avoids the abovementioned drawbacks. Material and Methods. We created eighteen designs with varied materials and analyzed them with FEA in compression and shear tests in a lumbar spine model programmed in Ansys Parametric Design Language. Results. Bionate® 80A had the closest mechanical characteristics to the intact disc nucleus. Monobloc designs bore physiological stresses correctly but suffered significant deformations with permanent damage during surgical insertion through the annulus opening. In addition, sandwich designs were too rigid and had an unreliable curing process. Therefore, we chose an oval doughnut-like 5 mm wall monobloc Bionate® 80A nucleus replacement. It minimized implant stress in loading, distributed loads uniformly, and tolerated lateral compression during implantation. Conclusions. Out of the eighteen designs we analyzed with FEA, we found that the monobloc oval doughnut-like Bionate 80A nucleus replacement reproduced best the biomechanics of the natural disc nucleus and had the lowest subsidence risk as it transmits the load to the ring apophysis. Furthermore, implanting it through the annulotomy required to perform a lumbar microdiscectomy should be possible due to its elasticity. Furthermore, due to its elasticity implanting it through the average annulotomy required to perform a lumbar microdiscectomy should be possible.
Ultraviolet Radiation Promoted Hypoxia-Induced Apoptosis in HL-60 Human Promyelocytic Leukemia Cell Line
Authors: Wang Yilin , Sun Jiandong , Xie Dong , Zhong Ren , Si Shaoyong , Liu Xiaotong , Qu Zhenghai , Sun Lirong , Wang Lingzhen
Published: October 2022

Minimal residual disease (MRD) is an important reason for the failure of autologous hematopoietic stem cell transplantation (auto-HSCT). Reducing MRD in grafts is particularly important to improve the efficacy of auto-HSCT. Previously, we reported that ultraviolet light-emitting diode (UV LED) suppressed the expression of Bcl-2 to induce apoptosis in HL-60 cells. Leukemia can lead to severe hypoxia of the bone marrow. Therefore, this study aimed to investigate the effect of UV LED on leukemia cells under hypoxia. HL-60 cells were irradiated with a UV LED (30 J/m2) and simulated under hypoxia with cobalt chloride. We found that UV LED irradiation or CoCl2 inhibited proliferation, induced apoptosis, decreased the Bcl-2/Bax ratio, and increased the levels of caspase 3, cleaved-caspase 3, and caspase 9 in HL-60 cells. In particular, the combined application of UV and CoCl2 significantly enhanced the apoptosis of HL-60 cells. In conclusion, UV LED in hypoxia exacerbated the inhibition of proliferation and induction of apoptosis and necrosis in HL-60 cells via the regulation of caspase 3/9 and the Bcl-2/Bax ratio-dependent pathway. The application of UV LEDs in hypoxia conditions may be a promising approach to kill residual drug-resistant leukemia cells in autologous grafts.
Noninvasive Technique to Monitor the Pressure under a Cast: A Mobile Application-Friendly Bluetooth Pressure Sensor
Authors: Mahirogullari Mahir , Surucu Serkan , Cerci Mehmet Halis , Aydin Mahmud , Kayikli Abdulkadir , Gunduz Oguzhan
Published: October 2022

Aim. The purpose of this study was to design a sensor that could monitor the skin-cast contact surface pressure (SCCSP) of a limb under a cast and inform the user via a mobile application when the pressure increases. Methods. In this experimental study, an infant sphygmomanometer cuff was initially placed on the forearm of 10 volunteers. A pressure sensor with a Bluetooth chip was then placed on the volar aspect of the forearm. Short arm plaster was applied with synthetic cast material. The SCCSP under the plaster was measured by the sensor and the measured values were transmitted to a mobile application via a Bluetooth chip. The mobile application processed the data from the chip and converted it to mmHg. Results. Intracompartmental pressure (ICP) values were categorized as 0, 10, 20, 30, 40, 50, 60, and 75 mmHg. The highest SCCSP was 75 mmHg CP, while the lowest was 0 mmHg CP. The correlation coefficient of the mean pressure values was 0.993 (

p
≤
0.001

) (SD 0.002, range 0.989–0.997), and there was a significant relationship between ICP and SCCSP values (

p
≤
0.05

). Conclusion. We can monitor SCCSP, detect limb swelling, and notify the user via a mobile application by using Bluetooth pressure sensors.
Evaluation of N-alkanes as Faecal Markers to Estimate Diet Composition, Feed Intake, and Digestibility in European Bison (Bison bonasus)
Authors: Mendes Ferreira Luis Miguel , Pereira Daniela , Lourenço Ana , Rodrigues Miguel
Published: October 2022

There is a lack of knowledge on the European bison (Bison bonasus L. 1758) foraging behavior that is essential to develop an appropriate feeding strategy for each specific situation (captive or wild). Utilization of faecal markers may allow us to fill this gap, accommodating animal welfare and intensive labour issues that are major limitations of traditional techniques. This study aimed to evaluate the potential of n-alkane markers (C25 to C33) to estimate diet composition, feed intake its digestibility on three captive maleBison bonasus fed on known amounts of straw, and a beeswax labelled concentrate feed. Feeds and faecal samples were taken daily during 10 days. Prior to calculations, faecal concentrations were corrected for incomplete faecal recovery (FR). Results indicated that 4–5 days were sufficient for these markers to reach a steady concentration in bison faeces. Accurate estimates of diet composition and feed intake were obtained not differing from known values. Results suggest that faecal recovery of n-alkanes in bison are incomplete and tend to increase with carbon-chain length. Apparent dry-matter digestibility (DMDap) estimates were affected by the n-alkane (C27, C29,C31, and C33) used in the calculations. Estimates of DMDap obtained with application of FR corrections were 6.3% higher than those without correction. Results indicate that feeding a known amount of beeswax labelled supplement can be successfully used to estimate composition, feed intake, and its digestibility, requiring the application of n-alkane FR data.