Miracle-dz/UniFAR-FTUs huggingface dataset:
How Transferable are Attribute Controllers on Pretrained Multilingual Translation Models?

Customizing machine translation models to comply with desired attributes (e.g., formality or grammatical gender) is a well-studied topic. However, most current approaches rely on (semi-)supervised data with attribute annotations. This data scarcity bottlenecks democratizing such customization possibilities to a wider range of languages, particularly lower-resource ones. This gap is out of sync with recent progress in pretrained massively multilingual translation models. In response, we transfer the attribute controlling capabilities to languages without attribute-annotated data with an NLLB-200 model as a foundation. Inspired by techniques from controllable generation, we employ a gradient-based inference-time controller to steer the pretrained model. The controller transfers well to zero-shot conditions, as it is operates on pretrained multilingual representations and is attribute- rather than language-specific. With a comprehensive comparison to finetuning-based control, we demonstrate that, despite finetuning’s clear dominance in supervised settings, the gap to inference-time control closes when moving to zero-shot conditions, especially with new and distant target languages. The latter also shows stronger domain robustness. We further show that our inference-time control complements finetuning. Moreover, a human evaluation on a real low-resource language, Bengali, confirms our findings. Our code is in the supplementary material.
A taxonomically informed DNA reference library to facilitate future biodiversity assessments and monitoring: a case study using seaweeds along a tropical-temperate transition zone in South Africa

The role of seaweeds in the blue bioeconomy has stimulated research efforts around the world but proper species identification and biodiversity assessments, remain a challenge. The South African coast hosts the confluence of the Indian Ocean and Atlantic Ocean, creating a dynamic evolutionary environment that has over time yielded a rich diversity of seaweeds with the highest seaweed diversity occurring along the Agulhas Marine Province. Although South Africa harbours one of the richer seaweed floras in the world, only 24% of the known species are represented by DNA barcodes. We therefore initiated the construction of a taxonomically guided DNA reference library for seaweeds in South Africa with the aim of continuously adding to it in the future. To do this, a seaweed biodiversity survey of the Rhodophyta occurring along a temperate-tropical biogeographic transition zone situated within the Agulhas Marine Province (AMP) in South Africa was carried out. Seaweeds were identified in the field using available field or taxonomic guides and herbarium vouchers were prepared. Subsamples were preserved for DNA analyses and three DNA barcodes (LSU D2-D3; rbcL-3P; COI 5P) were amplified. Sequences were verified on BLAST and preliminary phylogenetic analyses or comparison with the literature were carried out where necessary. A total of 220 barcodes was generated for 88 species and one species variety, including 17 species from or near their type localities and eight generitypes. Novel barcodes were generated for 73 species, nearly half of which were species endemic to Southern Africa. In addition, 21 taxa representing new, potentially new, or reinstated species and at least two new genera were identified as well as one new distribution recorded, all of which require further study. This study significantly adds to the foundational biodiversity knowledge of the South African seaweed flora and highlights new avenues for further research.
King’s Research Portal

The impact of announcements of large-scale purchases of government bonds on real GDP and the CPI in the United Kingdom and the United States is explored with a Bayesian VAR, estimated on monthly data from 2009M3 to 2014M5. Four different identi ﬁ cation schemes are used, all leaving the reactions of GDP and CPI unrestricted, and the transmission channels of the policy are examined. An asset purchase announcement of 1% of GDP leads to a statistically signi ﬁ cant rise of 0.58% (0.25%) and 0.62% (0.32%) rise in real GDP and CPI for the US (UK). The transmission channels differ in the two countries. & 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Using quantitative magneto-optical imaging to reveal why the ac susceptibility of superconducting films is history independent

Measurements of the temperature-dependent ac magnetic susceptibility of superconducting films reveal reversible responses, i.e., irrespective of the magnetic and thermal history of the sample. This experimental fact is observed even in the presence of stochastic and certainly irreversible magnetic flux avalanches which, in principle, should randomly affect the results. In this work, we explain such an apparent contradiction by exploring the spatial resolution of magneto-optical imaging. To achieve this, we successfully compare standard frequency-independent first harmonic ac magnetic susceptibility results for a superconducting thin film with those obtained by ac-emulating magneto-optical imaging (acMOI). A quantitative analysis also provides information regarding flux avalanches, reveals the presence of a vortex-antivortex annihilation zone in the region in which a smooth flux front interacts with pre-established avalanches, and demonstrates that the major impact on the flux distribution within the superconductor happens during the first ac cycle. Our results establish acMOI as a reliable approach for studying frequency-independent ac field effects in superconducting thin films while capturing local aspects of flux dynamics, otherwise inaccessible via global magnetometry techniques.
Changing the guard—nuclear pore complex quality control

The integrity of the nuclear envelope depends on the function of nuclear pore complexes (NPCs), transport channels that control macromolecular traffic between the nucleus and cytosol. The central importance of NPCs suggests the existence of quality control (QC) mechanisms that oversee their assembly and function. In this perspective, we emphasize the challenges associated with NPC assembly and the need for QC mechanisms that operate at various stages of an NPC's life. This includes cytosolic preassembly QC that helps enforce key nucleoporin–nucleoporin interactions and their ultimate stoichiometry in the NPC in addition to mechanisms that monitor aberrant fusion of the inner and outer nuclear membranes. Furthermore, we discuss whether and how these QC mechanisms may operate to sense faulty mature NPCs to facilitate their repair or removal. The so far uncovered mechanisms for NPC QC provide fertile ground for future research that not only benefits a better understanding of the vital role that NPCs play in cellular physiology but also how loss of NPC function and/or these QC mechanisms might be an input to aging and disease.
One-Class Knowledge Distillation for Spoofing Speech Detection

The detection of spoofing speech generated by unseen algorithms remains an unresolved challenge. One reason for the lack of generalization ability is traditional detecting systems follow the binary classification paradigm, which inherently assumes the possession of prior knowledge of spoofing speech. One-class methods attempt to learn the distribution of bonafide speech and are inherently suited to the task where spoofing speech exhibits significant differences. However, training a one-class system using only bonafide speech is challenging. In this paper, we introduce a teacher-student framework to provide guidance for the training of a one-class model. The proposed one-class knowledge distillation method outperforms other state-of-the-art methods on the ASVspoof 21DF dataset and InTheWild dataset, which demonstrates its superior generalization ability.
LoGenText-Plus: Improving Neural Machine Translation-based Logging Texts Generation with Syntactic Templates

Developers insert logging statements in the source code to collect important runtime information about software systems. The textual descriptions in logging statements (i.e., logging texts) are printed during system executions and exposed to multiple stakeholders including developers, operators, users, and regulatory authorities. Writing proper logging texts is an important but often challenging task for developers. Prior studies find that developers spend significant efforts modifying their logging texts. However, despite extensive research on automated logging suggestions, research on suggesting logging texts rarely exists. To fill this knowledge gap, we first propose LoGenText, reported in our conference paper (Ding et al., 2022), an automated approach that uses neural machine translation models to generate logging texts by translating the related source code into short textual descriptions. LoGenText takes the preceding source code of a logging text as the input and considers other context information such as the location of the logging statement, to automatically generate the logging text. The LoGenText’s evaluation on 10 open-source projects indicates that the approach is promising for automatic logging text generation and significantly outperforms the state-of-the-art approach. Furthermore, we extend LoGenText to LoGenText-Plus by incorporating the syntactic templates of the logging texts. Different from LoGenText, LoGenText-Plus decomposes the logging text generation process into two stages. LoGenText-Plus first adopts a neural machine translation model to generate the syntactic template of the target logging text. Then LoGenText-Plus feeds the source code and the generated template as the input to another neural machine translation model for logging text generation. We also evaluate LoGenText-Plus on the same 10 projects and observe that it outperforms LoGenText on nine of them. According to a human evaluation from developers’ perspectives, the logging texts generated by LoGenText-Plus have a higher quality than those generated by LoGenText and the prior baseline approach. By manually examining the generated logging texts, we then identify five aspects that can serve as guidance for writing or generating good logging texts. Our work is an important step towards the automated generation of logging statements, which can potentially save developers’ efforts and improve the quality of software logging. Our findings shed light on research opportunities that leverage advances in neural machine translation techniques for automated generation and suggestion of logging statements.
Sclerostin blockade inhibits bone resorption through PDGF receptor signaling in osteoblast lineage cells

While sclerostin-neutralizing antibodies (Scl-Ab) transiently stimulate bone formation by activating Wnt signaling in osteoblast lineage cells, they exert sustained inhibition of bone resorption, suggesting an alternate signaling pathway by which Scl-Ab control osteoclast activity. Since sclerostin can activate platelet-derived growth factor receptors (PDGFRs) in osteoblast lineage cells in vitro and PDGFR signaling in these cells induces bone resorption through M-CSF secretion, we hypothesized that the prolonged anti-catabolic effect of Scl-Ab could result from PDGFR inhibition. We show here that inhibition of PDGFR signaling in osteoblast lineage cells is sufficient and necessary to mediate prolonged Scl-Ab effect on M-CSF secretion and osteoclast activity in mice. Indeed, sclerostin co-activates PDGFRs independently of Wnt/β-catenin signaling inhibition, by forming a ternary complex with LRP6 and PDGFRs in pre-osteoblasts. In turn, Scl-Ab prevents sclerostin-mediated co-activation of PDGFR signaling and consequent M-CSF up-regulation in pre-osteoblast cultures, thereby inhibiting osteoclast activity in pre-osteoblast/osteoclast co-culture assays. These results provide a new potential mechanism explaining the dissociation between anabolic and anti-resorptive effects of long-term Scl-Ab.
A current affair: worker perceptions of noise exposure and occupational hearing loss in Australian coal mines

Abstract Background The objective of the online survey was to determine worker attitudes towards, perceptions on hearing loss, and management of workplace noise; and to identify barriers within current strategies that prevent effective management of hearing health in Australian mines. Design This cross-sectional study utilized a modified survey design, initially designed for use by Safe Work Australia for a broader study published in 2010. Study Sample The survey questionnaire was made available online to volunteer participants, recruited with the assistance of State and National Health and Safety, and mining organizations. Volunteer participants were required to be proficient in English, be employed by an Australian underground or open cut mine, including coal processing plants; or work as a contractor on one of the specified mine sites. All mining employees, regardless of occupation, job title, and occupational hearing loss classification or status, were invited to complete the questionnaire. Results Almost 60% of respondents indicated that they had high noise exposure for than 10 yr or more, and have some trouble hearing, mostly associated with infrequent tinnitus. Nearly 71% of these workers believe that the noise control strategies in their workplaces are effective, but this mostly refers to the use of hearing protection devices. Conclusion The results indicate that general knowledge on the cause and effect of noise exposure in the workplace is well understood. However, due to the long latency associated with the development of noise-induced hearing loss (NIHL), there is an issue urgency in terms of risk management. It is surprising that most of the respondents recommended more inspections and administrative controls, especially since most respondents were health, safety, and environment (HSE) professionals. HSE professionals should be advocating for higher order, more permanent solutions, and not purely administrative controls and personal protective equipment. These findings raise the question of whether there is a multifaceted working-culture issue that needs to be addressed, in combination with higher order control implementation.
Minority-group incubators and majority-group reservoirs support the diffusion of climate change adaptations

Successful climate change adaptation depends on the spread and maintenance of adaptive behaviours. Current theory suggests that the heterogeneity of metapopulation structure can help adaptations diffuse throughout a population. In this paper, we develop an agent-based model of the spread of adaptations in populations with minority–majority metapopulation structure, where subpopulations learn more or less frequently from their own group compared to the other group. In our simulations, minority–majority-structured populations with moderate degrees of in-group preference better spread and maintained an adaptation compared to populations with more equal-sized groups and weak homophily. Minority groups act as incubators for an adaptation, while majority groups act as reservoirs for an adaptation once it has spread widely. This means that adaptations diffuse throughout populations better when minority groups start out knowing an adaptation, as Indigenous populations often do, while cohesion among majority groups further promotes adaptation diffusion. Our work advances the goal of this theme issue by developing new theoretical insights and demonstrating the utility of cultural evolutionary theory and methods as important tools in the nascent science of culture that climate change adaptation needs. This article is part of the theme issue ‘Climate change adaptation needs a science of culture’.
Dual‐axis rotational coronary angiography can reduce peak skin dose and scattered dose: a phantom study

The purpose of this study was to evaluate peak skin dose received by the patient and scattered dose to the operator during dual‐axis rotational coronary angiography (DARCA), and to compare with those of standard coronary angiography (SA). An anthropomorphic phantom was used to simulate a patient undergoing diagnostic coronary angiography. Cine imaging was applied on the phantom for 2 s, 3 s, and 5 s in SA projections to mimic clinical situations with normal vessels, and uncomplicated and complicated coronary lesions. DARCA was performed in two curved trajectories around the phantom. During both SA and DARCA, peak skin dose was measured with thermoluminescent dosimeter arrays and scattered dose with a dosimeter at predefined height (approximately at the level of left eye) at the operator's location. Compared to SA, DARCA was found lower in both peak skin dose (range: 44%–82%, p < 0.001) and scattered dose (range: 40%–70%, p < 0.001). The maximal reductions were observed in the set mimicking complicated lesion examinations (82% reduction for peak skin dose, p < 0.001; 70% reduction for scattered dose, p < 0.001). DARCA reduces both peak skin dose and scattered dose in comparison to SA. The benefit of radiation dose reduction could be especially significant in complicated lesion examinations due to large reduction in X‐ray exposure time. The use of DARCA could, therefore, be recommended in clinical practice to minimize radiation dose. PACS numbers: 87.53. ‐j, 87.53. Bn, 87.59. ‐e, 87.59. C‐, 87.59. cf, 87.59. Dj
Mountain Wave Analysis Using Fourier Methods

Abstract : Eigenanalysis of temperature and wind profiles can reveal distinct resonances at mesoscale wavelengths. Fourier transform methods are well suited to analyze resonant modes such as mountain waves due, in part, to (1) their fast computation speed for large wave number domains compared to numerical forecast models and (2) their requirements for only a coarse horizontal background state. Common traits of Fourier mountain wave models include use of the Boussinesq approximation and neglect of moisture and Coriolis terms. Solutions are provided to linearized elliptic partial differential equations expressed in terms of height or velocity perturbation using complex phase functions. Lower boundary conditions are defined using the Fourier transform of the terrain height field which is typically modified to ensure linear assumptions are satisfied and to avoid effects associated with periodic horizontal boundary conditions. Two mountain wave models, Smith Three-Layer and Broutman MWFM-3, are examined. Both models have a strong theoretical basis and are well documented in the refereed literature. These models can allow for both hydrostatic and non-hydrostatic wavfe modes but do not permit more than one wind turning point in their representation of the phase functions. The two models have undergone limited verification for real-world environments using aircraft and satellite data and have been compared with non-linear numerical model integrations. The Broutman MWFM-3 model, having been developed to include tropospheric and stratospheric wave propagation and having no theoretical limit on top height, is favored for testing in an operational forecast environment.
α1 adrenergic receptor - PKC - Pyk2 - Src signaling boosts L-type Ca2+ channel Cav1.2 activity and long-term potentiation in rodents

The cellular mechanisms mediating norepinephrine functions in brain to result in behaviors are unknown. We identified the L-type Ca2+ channel (LTCC) CaV1.2 as a principal target for Gq- coupled α1-adrenergic receptors (ARs). α1AR signaling increased LTCC activity in hippocampal neurons. This regulation required PKC-mediated activation of the tyrosine kinases Pyk2 and, downstream, Src. Pyk2 and Src were associated with CaV1.2. In model neuroendocrine PC12 cells, stimulation of PKC induced tyrosine phosphorylation of CaV1.2, a modification abrogated by inhibition of Pyk2 and Src. Upregulation of LTCC activity by α1AR and formation of a signaling complex with PKC, Pyk2, and Src suggests that CaV1.2 is a central conduit for signaling by norepinephrine. Indeed, a form of hippocampal LTP in young mice requires both the LTCC and α1AR stimulation. Inhibition of Pyk2 and Src blocked this LTP, indicating that enhancement of CaV1.2 activity via α1AR - Pyk2 - Src signaling regulates synaptic strength.
Elaboration of integrated microelectrodes for the detection of antioxidant species

(Pt–Pt–Ag/AgCl) and (Au–Pt–Ag/AgCl) electrochemical microcells (ElecCell) were developed for the detection of redox species by cyclic voltammetry. A special emphasis was placed on the SU-8 waferlevel passivation process in order to optimize the electrochemical properties of the different “thin film” metallic layers, i.e. gold or platinum for the working electrode, platinum for the counter electrode and silver/silver chloride for the reference electrode. (Au–Pt–Ag/AgCl) microcells were applied for the detection of antioxidant species such as ascorbic and uric acids in phosphate buffer solution, evidencing high sensitivity but low selectivity. Works were extended to skin analysis, demonstrating that a good electrical contact with the skin hydrolipidic film allowed the effective evaluation of the skin global antioxidant
On the spouse‐loving variant of the Oberwolfach problem

We prove that K n + I , the complete graph of even order with a 1‐factor duplicated, admits a decomposition into 2‐factors, each a disjoint union of cycles of length m ≥ 5 if and only if m ∣ n , except possibly when m is odd and n = 4 m . In addition, we show that K n + I admits a decomposition into 2‐factors, each a disjoint union of cycles of lengths m 1 , … , m t , whenever m 1 , … , m t are all even.
Prevalence of Asthma Characteristics in COPD Patients in a Dutch Well-Established Asthma/ COPD Service for Primary Care

Purpose: Primary care COPD guidelines indicate that COPD patients with asthma characteristics should be treated as having asthma. This study aims to describe the prevalence of asthma characteristics in patients with a pulmonologist-con ﬁ rmed working diagnosis of COPD or ACO. Patients and Methods: This retrospective cross-sectional study used real-life data (col-lected between 2007 and 2017) from a Dutch asthma/COPD-service, a structured web-based system in which pulmonologists support general practitioners in their diagnosis of patients with suspicion of obstructive lung disease. The prevalence of asthma characteristics (history of asthma, atopy, symptoms, and reversibility) and blood eosinophil (Eos) counts were assessed in patients with a working diagnosis of COPD or ACO. Results: Of the 14,141 patients, ≥ 40 years in the dataset, 4475 (31.6%) were diagnosed with asthma, 3532 (25.0%) with COPD, and 1276 (9.0%) with ACO. Asthma characteristics were present in 65.6% (n=1956) of the COPD and 90.9% (n=1059) of the ACO patients. Eos counts of ≥ 300 cells per μ L were found in 35.7% (n=924) of the COPD patients and 35.3% (n=341) of the ACO patients. Conclusion: In this group of COPD and ACO patients remotely diagnosed by pulmonologists, a substantial proportion would be considered to have asthma characteristics according to the guidelines. This may explain the high number of inhaled corticosteroid (ICS) prescriptions found in primary care COPD patients. Prospective studies are necessary to identify patients who may or may not bene ﬁ t from ICS containing treatment. Hence, personalized care in primary care can be optimized.