Miracle-dz/UniFAR-FTUs huggingface dataset:
DIANA, a Process-Oriented Model of Human Auditory Word Recognition

This article presents DIANA, a new, process-oriented model of human auditory word recognition, which takes as its input the acoustic signal and can produce as its output word identifications and lexicality decisions, as well as reaction times. This makes it possible to compare its output with human listeners’ behavior in psycholinguistic experiments. DIANA differs from existing models in that it takes more available neuro-physiological evidence on speech processing into account. For instance, DIANA accounts for the effect of ambiguity in the acoustic signal on reaction times following the Hick–Hyman law and it interprets the acoustic signal in the form of spectro-temporal receptive fields, which are attested in the human superior temporal gyrus, instead of in the form of abstract phonological units. The model consists of three components: activation, decision and execution. The activation and decision components are described in detail, both at the conceptual level (in the running text) and at the computational level (in the Appendices). While the activation component is independent of the listener’s task, the functioning of the decision component depends on this task. The article also describes how DIANA could be improved in the future in order to even better resemble the behavior of human listeners.
Associations of maternal age at marriage and pregnancy with infant undernutrition: Evidence from first‐time mothers in rural lowland Nepal

Abstract Objectives Maternal factors shape the risk of infant undernutrition, however the contributions of age at marriage versus age at pregnancy are rarely disentangled. We explore these issues in a population from lowland rural Nepal, where median ages at marriage and first pregnancy are 15 and 17 years respectively and marriage almost always precedes pregnancy. Methods We analyzed data on first‐time mothers (n = 3002) from a cluster‐randomized trial (2012–2015). Exposures were ages at marriage and pregnancy, categorized into groups. Outcomes were z‐scores for weight (WAZ), length (LAZ), head circumference (HCAZ), and weight‐for‐length (WLZ), and prevalence of wasting and stunting, for neonates (<8 days) and infants (6–12 months). Mixed linear and logistic regression models tested associations of marriage and pregnancy ages with outcomes, adjusting for parental education, household assets, caste, landholding, seasonality, child sex, intervention arm, randomization strata and cluster. Results For neonates, pregnancy <18 years predicted lower LAZ, and <19 years predicted lower WAZ and HCAZ. Results were largely null for marriage age, however early pregnancy and marriage at 10–13 years independently predicted neonatal stunting. For infants, earlier pregnancy was associated with lower LAZ and HCAZ, with a trend to lower WAZ for marriage 10–13 years. Early pregnancy, but not early marriage, predicted infant stunting. Conclusions Early marriage and pregnancy were associated with poorer growth, mainly in terms of LAZ and HCAZ. Associations were stronger for neonatal than infant outcomes, suggesting pregnancy is more susceptible to these stresses. Early marriage and pregnancy may index different social and biological factors predicting child undernutrition.
Surviving the COVID‐19 pandemic: The antecedents of success among European SMEs

Abstract We research the antecedents of relative success among small and medium enterprises (SMEs) in avoiding temporary or permanent closure during the COVID‐19 pandemic. We investigate the roles of firm‐specific resources and state support policies in influencing SME fortunes, in a sizeable group of European countries covered in the World Bank Enterprise Survey. Using resource dependency, Varieties of Capitalism and Systems theories, we find that innovative capacities, institutional connectedness, governance, and management experience were major antecedents of success across all SMEs. Significant differences in outcomes were found between SMEs operating in old and new EU member states, and non‐EU countries.
Global optimization of hyper-parameters in reservoir computing

Reservoir computing has emerged as a powerful and efficient machine learning tool especially in the reconstruction of many complex systems even for chaotic systems only based on the observational data. Though fruitful advances have been extensively studied, how to capture the art of hyper-parameter settings to construct efficient RC is still a long-standing and urgent problem. In contrast to the local manner of many works which aim to optimize one hyper-parameter while keeping others constant, in this work, we propose a global optimization framework using simulated annealing technique to find the optimal architecture of the randomly generated networks for a successful RC. Based on the optimized results, we further study several important properties of some hyper-parameters. Particularly, we find that the globally optimized reservoir network has a largest singular value significantly larger than one, which is contrary to the sufficient condition reported in the literature to guarantee the echo state property. We further reveal the mechanism of this phenomenon with a simplified model and the theory of nonlinear dynamical systems.
Numerical and experimental methods in investigating measures for achieving low pollutant combustion in the residential appliances

ABSTRACT In this work, the effects of proposed measures for improving environmental footprint of woody and non-woody biomass combustion in residential appliances, comprising partial insulation of combustion chamber and inclusion of combustion intensifier are numerically and experimentally evaluated. In the numerical part, a simplified modeling approach for wood pellets, based on Finite-Rate and Eddy-Dissipation model, is presented and the obtained combustion reaction maps are extensively discussed. The accompanying experiments with wood and agropellets are performed in a multi-fuel boiler equipped with rotary pellet burner. It is found that significant reductions in pollutant emissions are obtained (CO – 31 to 78%, PM – 28 to 56 mg/Nm3 at standardized oxygen content). The results also show that by combining both measures, CO emissions below 1000 mg/Nm3 at the standardized oxygen content (limitation for Class 4 according to EN 303–5:2021), without a significant drop in combustion efficiency (approx. 2%), can be expected for agropellets. The optimal combustion conditions can be achieved with lower excess air ratio, whereby a slight reduction in NOx emissions can be accomplished.
All of the Above: Lobbying Allied, Undecided, and Opposing Lawmakers in Committee and on the Floor

This paper asks: When seeking to influence legislation in Congress, do organized interests target legislative allies, opponents, undecideds, or some combination of these? We address this question with data from a survey of 836 Washington lobbyists. Our findings point to several conclusions, including the following: (1) Organized interests almost always lobby their legislative allies, whether they support or oppose legislation, and whether the legislation is at the committee or floor stage; (2) Organized interests seldom lobby only their allies, very often targeting opponents and undecideds; (3) Organized interests lobby legislative opponents when their group opponents are relatively powerful; (4) Organized interests lobby legislative opponents and undecideds more in conflictual policy environments than they do in non-conflictual policy environments; (5) Resource competition from other groups causes organized interests to shy away from lobbying non-allied lawmakers; and (6) Coalition joining is associated with less allies-only lobbying.
Exploring Early-Career Job Seekers’ Online Uncertainty Management

Using the framework of uncertainty management theory (UMT), this study qualitatively explores the extent to which entry-level job seekers engage in online information seeking, or cybervetting, about employers, why they do it, and how cybervetting influences their subsequent communication. We conducted 19 focus groups, involving 100 participants across three universities, to capture the rich experiences of early-career job seekers. Findings offer evidence of cybervetting from the perspective of a potential employee, exploring how information-seeking foregrounds the modern employee-employer relationship. The findings indicate that many job seekers use social media and employee-generated review websites as an initial mode of communication to find organizational information that helps to manage their uncertainty and anxiety, prepare for interviews, engage with their existing interpersonal networks because of information they find online, and to aid in their decision-making about joining organizations. In line with UMT, many participants also use cognitive and behavioral alternatives to information seeking to manage their uncertainty.
Impact of the ABCB1 Drug Resistance Gene on the Risk Factors of Patients with COVID-19 and Its Relationship with the Drugs Used

Objective In the last two years progress was made in molecular, physio pathological understanding and the form of transmission of COVID-19, and different therapeutic strategies have been explored to deal with the situation of the pandemic. However, the evaluation of certain genes that participate in the metabolism and transport of these drugs has not been fully explored. A lack of response to treatment and a lower survival have been observed that may be due to the presence of the ABCB1 drug resistance gene. Our research group analyzed whether the expression levels of the ABCB1 gene are associated with comorbidities, treatments, overall survival and risk of death in patients with severe COVID-19. Methods The expression levels of the ABCB1 gene were analyzed by RT-qPCR in 61 patients diagnosed with COVID-19. The association between the levels of expression, the risk variables and different treatments were determined by the Chi-Square test and the Fisher’s exact test. Global Survival (GS) was determined by the Kaplan–Meier method. The impact of high levels of expression and the risk of death was performed by odds ratio. Results The different risk variables showed that patients with either high or absent levels of ABCB1 gene expression presented a greater risk of death (OR 3.08, 95%, CI 1.02–9.26) as well as need for ventilatory support (OR 2.8, 95%, CI 0.98 −8.5). Patients with diabetes and COVID-19, treated with metformin, were associated with a lower risk of death (OR 1.11, 95%, CI 0.38–3.22). OS with respect to high or absent levels of expression of the ABCB1 gene was lower. Conclusion High levels or null expression of the ABCB1 gene are associated with a higher risk of death or progression of the disease, the use of metformin in patients with COVID-19 confers a lower risk of death.
The risk of re-intervention after endovascular aortic aneurysm repair

This thesis studies survival analysis techniques dealing with censoring to produce predictive tools that predict the risk of endovascular aortic aneurysm repair (EVAR) re-intervention. Censoring indicates that some patients do not continue follow up, so their outcome class is unknown. Methods dealing with censoring have drawbacks and cannot handle the high censoring of the two EVAR datasets collected. Therefore, this thesis presents a new solution to high censoring by modifying an approach that was incapable of differentiating between risks groups of aortic complications. Feature selection (FS) becomes complicated with censoring. Most survival FS methods depends on Cox's model, however machine learning classifiers (MLC) are preferred. Few methods adopted MLC to perform survival FS, but they cannot be used with high censoring. This thesis proposes two FS methods which use MLC to evaluate features. The two FS methods use the new solution to deal with censoring. They combine factor analysis with greedy stepwise FS search which allows eliminated features to enter the FS process. The first FS method searches for the best neural networks' configuration and subset of features. The second approach combines support vector machines, neural networks, and K nearest neighbor classifiers using simple and weighted majority voting to construct a multiple classifier system (MCS) for improving the performance of individual classifiers. It presents a new hybrid FS process by using MCS as a wrapper method and merging it with the iterated feature ranking filter method to further reduce the features. The proposed techniques outperformed FS methods based on Cox's model such as; Akaike and Bayesian information criteria, and least absolute shrinkage and selector operator in the log-rank test's p-values, sensitivity, and concordance. This proves that the proposed techniques are more powerful in correctly predicting the risk of re-intervention. Consequently, they enable doctors to set patients’ appropriate future observation plan.
Extraction and Pronoun Preposing in Scandinavian

It has been noted that examples with extractions out of relative clauses that have been attested in Danish, Norwegian and Swedish are judged to be unacceptable in Icelandic and Faroese. We hypothesize that this may reflect whether or not speakers tend to prepose unstressed object pronouns as a way of establishing a coherent discourse. In this article we investigate to what extent pronoun preposing is used in Swedish, Icelandic and Faroese and whether there is any correlation with the acceptabilty of extractions from relative clauses. We show that Icelandic speakers use pronoun preposing to a very limited extent whereas Faroese speakers often prepose the VP or sentential anaphor tað. In both languages extraction from relative clauses is mainly judged to be unacceptable, with Faroese speakers being somewhat more accepting of extraction from presentational relatives. A crucial factor seems to be whether preposing is associated with a marked, contrastive interpretation or not.
Synthesis, characterization, and bioactivity evaluation of biphasic calcium phosphate nanopowder containing 5.0 mol% strontium, 0.6 mol% magnesium, and 0.2 mol% silicon for bone regeneration

Biphasic calcium phosphate (BCP) bioceramics have shown efficacy for bone repair because of their controllable degradation rate that can be modified by chemical composition and phase ratio. To develop a new BCP ceramic in this work, 5.0 Sr, 0.6 Mg, and 0.2 Si (all in mol%) triple-substituted BCP powder was synthesized and calcined at 550 to 750 °C. The obtained results confirmed the presence of substituted ions in the product and also showed that powder calcined at 650 °C consisted of hydroxyapatite (HA) and β-tricalcium phosphate (β-TCP) nanoparticles with a weight ratio of ~ 60/40. The apatite layer with a rod-like morphology was formed on the surface of the sample fabricated from this powder after 28 days of soaking in SBF at ~ 37 °C. Also, the substituted ions showed positive effects on viability and the alkaline phosphatase activity of MG63 cells.
Coconut Rhinoceros Beetle in Samoa: Review of a Century-Old Invasion and Prospects for Control in a Changing Future

Simple Summary Coconut rhinoceros beetle (CRB) is one of the major pests of coconut and oil palms in the Asia-Pacific region. Since its accidental introduction in Samoa in 1909, the invasive CRB has spread to several countries and territories within the Pacific and Indian Oceans, severely damaging coconut palms and affecting peoples’ livelihoods. In the 100 years since CRB established on Samoa, it remains the primary pest on the island with periods of heavy damage when integrated pest management (IPM) breaks down. The Samoan case is an excellent example of implementing biocontrol and IPM in a dynamic Pacific environment. As society and the economics of production in Samoa have changed, the level of control has varied, with recent concern about surges of the pest. The review synthesizes historical lessons and provide recommendations on how to protect coconut palms in the changing environment of Samoa which are also applicable for protection of palms in the wider Asia/Pacific region. Abstract It is now more than 100 years since the coconut rhinoceros beetle (CRB: Oryctes rhinoceros L.) was first detected in the Pacific Island state of Samoa. The exotic pest from Asia became the principal pest of coconut palms in Samoa and, from this first point of invasion, spread to several surrounding countries in the South-West Pacific Ocean. An intensive control operation was initiated, but the beetle could not be eliminated. Various pest management strategies were attempted but had limited success until the introduction of a biological control agent (BCA), Oryctes rhinoceros nudivirus (OrNV), during the late 1960s and early 1970s. The biocontrol release was very successful and became the prime example of “classical biological control” of an insect pest by a virus. Changing economic and social conditions in Samoa and other islands of the Pacific require a re-evaluation of the threat of CRB to coconut production to suggest how the IPM system may be modified to meet future needs. Therefore, it is timely to review the history of CRB in Samoa and summarize experiences in development of an integrated pest management (IPM) system limiting the impact of the pest. We also present results from a recent study conducted in 2020 on the island of Upolu to define the current status of the CRB population and its BCA, OrNV. The lessons from Samoa, with its long history of containment and management of CRB, are applicable to more recent invasion sites. Recommendations are provided to modify the IPM programme to enhance the sustainable control of CRB and support the ongoing coconut replantation program promoted by the Samoan government.
New Directions in Aesthetic Medicine: A Novel and Hybrid Filler Based on Hyaluronic Acid and Lactose Modified Chitosan

Fillers based on crosslinked hyaluronic acid (HA) are becoming increasingly important in the field of aesthetic medicine, for example for treating wrinkles or for volumizing purposes. However, crosslinking agents are usually associated with toxicity and adverse reactions. The aim of this study is the development of an innovative technology to manufacture high performance HA-based fillers using minimal amounts of crosslinking agent. In this work, new fillers based on HA, functionalized with different amounts of 1,4-butanediol diglycidyl ether (BDDE) (degree of modification ranging between 3.5% and 8.8%) and formulated with a lactose modified chitosan (CTL), were investigated. The relative quantities of these polymeric building blocks in the formulations were 20–25 and 5 mg/mL for HA and CTL, respectively. Due to its cationic nature, CTL could interact with the anionic HA and enhance the elastic properties of the filler. Fillers manufactured with this novel technology (HACL-CTL) were characterized and compared with several fillers available in the market. In particular, resistance against hyaluronidase, swelling, cohesivity and rheological properties were investigated. Cohesivity, resistance to hydrolysis and swelling of HACL-CTL were comparable to commercial products. However, HACL-CTL fillers showed excellent elastic performance that reached 94% of elasticity in response to shear stresses. Surprisingly, these fillers also showed a resistance to compression higher than that of currently marketed products, making them very promising for their lifting effect.
The Evolution of Federated Learning-Based Intrusion Detection and Mitigation: A Survey

In 2016, Google introduced the concept of Federated Learning (FL), enabling collaborative Machine Learning (ML). FL does not share local data but ML models, offering applications in diverse domains. This paper focuses on the application of FL to Intrusion Detection Systems (IDSs). There, common criteria to compare existing solutions are missing. In particular, this survey shows: (i) how FL-based IDSs are used in different domains; (ii) what differences exist between architectures; (iii) the state of the art of FL-based IDS. With a structured literature survey, this work identifies the relevant state of the art in FL–based intrusion detection from its creation in 2016 until 2021. It provides a reference architecture and a taxonomy to serve as guidelines to compare and design FL-based IDSs. Both are validated with the existing works. Finally, it identifies research directions for the application of FL to intrusion detection systems.
Clinical Outcomes After Suture Tape Augmentation for Ankle Instability: A Systematic Review

Background: There is minimal literature on the use of suture tape augmentation in the treatment of chronic lateral ankle instability (CLAI), prompting an investigation on its use and effect during surgery of the lateral ankle. Purpose: To evaluate the evidence for the use of suture tape augmentation in the treatment of CLAI and the outcomes after this procedure. Study Design: Systematic review; Level of evidence, 4. Methods: A literature search was performed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies were included if they evaluated the use of suture tape for CLAI. Outcome measures included the Foot and Ankle Ability Measure, American Orthopaedic Foot and Ankle Society (AOFAS) score, return to play, and radiological improvement in anterior talar translation and talar tilt angle. Quantitative and qualitative analyses were performed. Results: There were 11 studies (2 with level 2 evidence, 1 with level 3, and 8 with level 4) including 334 patients (334 ankles) that underwent suture-tape augmentation. The mean age was 27.3 years, 67.3% were women, and the mean follow-up was 27.6 months (range, 11.5-38.5 months). The mean weighted postoperative AOFAS score was 95, and 87.7% were able to return to sports. Overall, 9 recurrent instability events (4.1%) were reported. In 3 studies that compared Broström repair and suture tape augmentation, there were no significant differences between the procedures in recurrent instability (mean difference [MD], 0.81 [95% CI, 0.19 to 3.50]; I 2 = 0%; P = .78), Foot and Ankle Ability Measure (MD, 1.24 [95% CI, –3.73 to 6.21]; I 2 = 66%; P = .63), talar tilt angle improvement (MD, –0.07 [95% CI, –0.68 to 0.54]; I 2 = 0%; P = .42), or anterior talar translation improvement (MD, –0.06 [95% CI, –0.69 to 0.56]; I 2 = 0%; P = .77). Conclusion: Suture tape augmentation did not significantly improve clinical or radiological outcomes in the setting of modified Broström repair for CLAI. There is currently insufficient evidence to recommend suture tape augmentation for all patients at this time.
Automatic Mapping of Small Lunar Impact Craters Using LRO‐NAC Images

Impact craters are the most common feature on the Moon’s surface. Crater size–frequency distributions provide critical insight into the timing of geological events, surface erosion rates, and impact fluxes. The impact crater size–frequency follows a power law (meter‐sized craters are a few orders of magnitude more numerous than kilometric ones), making it tedious to manually measure all the craters within an area to the smallest sizes. We can bridge this gap by using a machine learning algorithm. We adapted a Crater Detection Algorithm to work on the highest resolution lunar image data set (Lunar Reconnaissance Orbiter‐Narrow‐Angle Camera [NAC] images). We describe the retraining and application of the detection model to preprocessed NAC images and discussed the accuracy of the resulting crater detections. We evaluated the model by assessing the results across six NAC images, each covering a different lunar area at differing lighting conditions. We present the model’s average true positive rate for small impact craters (down to 20 m in diameter) is 93%. The model does display a 15% overestimation in calculated crater diameters. The presented crater detection model shows acceptable performance on NAC images with incidence angles ranging between ∼50° and ∼70° and can be applied to many lunar sites independent to morphology.