Miracle-dz/UniFAR-FTUs huggingface dataset:
Overlapping post-seismic deformation processes: afterslip and viscoelastic relaxation following the 2011 Mw 9.0 Tohoku (Japan) earthquake

These so-called post-seismic deformations include contributions mainly from afterslip and viscoelastic relaxation, quantiﬁcation of their relative inﬂuence is of importance for understanding the evolution of post-seismic crustal stress, strain and aftershocks. Here, we investigate the post-seismic deformation processes following the 2011 M w 9.0 Tohoku earthquake using surface displacement data as observed by the onshore global positioning system network in the ﬁrst ∼ 1.5 yr following the main shock. We explore two different inversion modelling strate-gies: (i) we simulate pure afterslip and (ii) we simulate the combined effect of afterslip and viscoelastic relaxation. By assuming that the afterslip is solely responsible for the observed post-seismic deformation, we ﬁnd most afterslip activities to be located close to the downdip area of the coseismic rupture at 20–80 km depth with a maximum cumulative slip of ∼ 3.8 m and a seismic moment of 2.3 × 10 22 Nm, equivalent in moment to an M w 8.84 earthquake. By assuming a combination of afterslip and viscoelastic components, the best data ﬁt is found for an afterslip portion that is spatially consistent with the pure afterslip model, but reveals a decreased seismic moment of 2.1 × 10 22 Nm, or M w 8.82. In addition, the combined model suggests an effective thickness of the elastic crust of ∼ 50 km overlying an asthenosphere with a Maxwell viscosity of 2 × 10 19 Pa s. Temporal analysis of our model inversions suggests that the rate of afterslip rapidly decreases with time, consistent with the state- and rate-strengthening frictional law. The spatial pattern of afterslip coincides with the locations of aftershocks, and also with the area of coseismically increased Coulomb failure stress (CFS). Only a small part of the coseismically increased CFS was released by the afterslip in 564 d after the event. The effect of the viscoelastic relaxation within this initial stage only plays a secondary role, but it shows an increasing tendency, that is, the contribution of viscoelastic relaxation increases with time. Further geodetic observations are needed for a robust quantiﬁcation of the role of the viscoelastic relaxation in the post-seismic deformation.
Whole Life Costs and Benefits of Sustainable Urban Drainage Systems in Dunfermline, Scotland

Sustainable urban drainage systems (SUDS) are increasingly prominent as a solution to many of the performance and environmental problems associated with traditional drainage systems. Questions remain regarding the values of maintenance costs and environmental benefits delivered throughout the useful lives of SUDS. Using the Dunfermline East Expansion area in Scotland as a case study, this study represents a novel approach in that it collects actual maintenance data, assesses ecosystem services, and carries out whole life cost analyses. Findings suggest that SUDS may be accounted as a net asset, although assumptions inherent to ecosystem services assessment methodologies produce a wide range of uncertainty.
Twitter Usage in Indonesia

Social media is playing a growing role in disaster management and response. Expectations are that such media can be critical for sending alerts, identifying critical needs, and focusing response. However, for social media to be used in that way, it will be necessary to understand how social media is used during normal, i.e., non-disaster periods. Herein we examine the use of a particular social media, Twitter, and assess its value for disaster management with a focus on planning and early warnings. Our focus is Indonesia, and the potential use of Twitter to support tsunami warning and response. We assess alternative collection strategies and analyze Twitter usage under normal conditions and then use this information to identify the strengths and weaknesses of this data in supporting disaster management in terms of coverage, spatio-temporal patterns, and identification of opinion leaders. We find that while one can potentially leverage Twitter for disaster management, careful collection, assessment, and coordination with official disaster Twitter sites and local on-scene Twitter opinion leaders will be critical. Guidelines for harnessing Twitter data for disaster management are provided.
Upper-mantle P- and S-wave velocities across the Northern Tornquist Zone from traveltime tomography

S U M M A R Y This study presents Pand S-wave velocity variations for the upper mantle in southern Scandinavia and northern Germany based on teleseismic traveltime tomography. Tectonically, this region includes the entire northern part of the prominent Tornquist Zone which follows along the transition from old Precambrian shield units to the east to younger Phanerozoic deep sedimentary basins to the southwest. We combine data from several separate temporary arrays/profiles (276 stations) deployed over a period of about 15 yr and permanent networks (31 stations) covering the areas of Denmark, northern Germany, southern Sweden and southern Norway. By performing an integrated Pand S-traveltime analysis, we obtain the first high-resolution combined 3-D VP and VS models, including variations in the VP/VS ratio, for the whole of this region of study. Relative station mean traveltime residuals vary within ±1 s for P wave and ±2 s for S wave, with early arrivals in shield areas of southern Sweden and later arrivals in the Danish and North German Basins, as well as in most of southern Norway. In good accordance with previous, mainly P-velocity models, a marked upper-mantle velocity boundary (UMVB) is accurately delineated between shield areas (with high seismic mantle velocity) and basins (with lower velocity). It continues northwards into southern Norway near the Oslo Graben area and further north across the Southern Scandes Mountains. This main boundary, extending to a depth of at least 300 km, is even more pronounced in our new S-velocity model, with velocity contrasts of up to ±2–3 per cent. It is also clearly reflected in the VP/VS ratio. Differences in this ratio of up to about ±2 per cent are observed across the boundary, with generally low values in shield areas to the east and relatively higher values in basin areas to the southwest and in most of southern Norway. Differences in the VP/VS ratio are believed to be a rather robust indicator of upper-mantle compositional differences. For the depth interval of about 100–300 km, thick, depleted, relatively cold shield lithosphere is indicated in southern Sweden, contrasting with more fertile, warm mantle asthenosphere beneath most of the basins in Denmark and northern Germany. Both compositional and temperature differences seem to play a significant role in explaining the UMVB between southern Norway and southern Sweden. In addition to the main regional upper-mantle velocity contrasts, a number of more local anomaly features are also outlined and discussed.
Metacognitive Awareness and Self-Regulated Learning toward Students’ Academic Achievement: Prediction study

This study was intended to find the relationship among metacognitive awareness and self-regulated learning as independent variables and students’ achievement/GPA as dependent variable. The study took senior college students as the sample from two private Indonesian universities. Thereupon, this study also was aimed to find whether students’ metacognitive awareness and self-regulated learning could be predictors of students’ achievement/ GPA. The study used Metacognitive Awareness Inventory and questionnaire to get the data of students’ metacognitive awareness and self-regulated learning. The results showed that there were positive correlations between students’ metacognitive awareness and self-regulated learning on academic achievements. The study also revealed that both metacognitive awareness and self-regulated learning could be predictors for academic achievement as many as 24.8%.
Using Quantitative Hormone Monitoring to Identify the Postpartum Return of Fertility

Background and Objectives: The Marquette Method (MM) has been used for many years to track the postpartum return of fertility using the ClearBlue Fertility Monitor (CBFM). A new quantitative urine hormone monitor (the Mira Analyzer) was compared to the CBFM in one previous study, and using this pilot data, several women have started to use the Mira Analyzer in the postpartum transition to fertility. Materials and Methods: This study was a retrospective, observational case series that analyzed hormone data on the Mira Analyzer during the postpartum period. Participants were invited to share their postpartum cycle and hormone observations. Quantitative hormones in the urine included estrone-3-glucuronide (E3G), luteinizing hormone (LH), and pregnanediol glucuronide (PDG). Data were collected using an electronic survey and an online portal for hormone data. Data collected included participant demographics, menstrual cycle characteristics, and reproductive health history. Hormone range values were calculated, and thresholds were identified that would best predict the first ovulation that led to the first postpartum menstrual period, as well as in transition cycles. Hormone patterns were identified in the context of previous studies. Results: Twenty participants contributed data for the analysis. Triggering ovulation before the first period postpartum (Cycle 0) usually required higher LH thresholds than for regularly cycling women. Three different patterns were observed in the return of fertility postpartum: minimal ovarian activity, follicular activity without ovulation, and the early return of fertility. Abstinence rates for avoiding pregnancy with experimental thresholds were calculated. Conclusions: Higher LH thresholds in Cycle 0 suggest a decreased responsiveness of the ovaries to LH stimulation from the pituitary. This study replicates postpartum hormone patterns from a previous study. Larger studies are planned to evaluate the effectiveness for avoiding pregnancy using the Mira Analyzer in the postpartum return of fertility.
Unpacking Continuous Assessment: Teacher Knowledge and Attitudes in Zimbabwe Rural Secondary Schools

The paper explores the implementation of continuous assessment in the context of teacher knowledge and attitudes in Zimbabwean rural secondary schools. Continuous assessment is a new curriculum assessment regime in the curriculum reform agenda in Zimbabwe introduced in the 2015 updated curriculum.The study defines continuous assessment as the mechanism where thelearner performs over timeconstitutes the final gradingof the learner.The researchers explain the teacher-related implementation challenges in continuous assessment in rural secondary schools in Zimbabwe. Ten teachers and five secondary school heads from Goromonzi District of Mashonaland East Province in Zimbabwe participated in the study. The five participating heads were conveniently selected, while theten teachers were randomly sampled to participate in the case study.Semi-structured questionnaires and in-depth interviews were used to collect qualitative data on rural teachers’ conceptualisationof continuous assessment and how this had shaped their attitudes towardthe concept. The general finding from the study was that the new assessment regime had empowered the teachers to make critical decisions about the students they teach and allow learners to co-create knowledge relevant to their life contexts.However, their concerns were around the absence of knowledgeable professionals in the area who can cascade and message the correct and accurate information regarding the implementation of the assessment reform.The study further found that this weakness in the implementation chain had resulted in negative attitudes of teachers and school heads. The study recommends that the Ministry of Primary and Secondary Education revisit the current continuous assessment to takeon board all educational stakeholders’ concerns for effective implementation of the assessment reform.
APOE4 allele-specific associations between diet, multimodal biomarkers, and cognition among Puerto Rican adults in Massachusetts

Background Apolipoprotein E (APOE) is the strongest genetic risk factor for sporadic Alzheimer’s Disease (AD), and the ε4 allele (APOE4) may interact with lifestyle factors that relate to brain structural changes, underlying the increased risk of AD. However, the exact role of APOE4 in mediating interactions between the peripheral circulatory system and the central nervous system, and how it may link to brain and cognitive aging requires further elucidation. In this analysis, we investigated the association between APOE4 carrier status and multimodal biomarkers (diet, blood markers, clinical diagnosis, brain structure, and cognition) in the context of gene–environment interactions. Methods Participants were older adults from a longitudinal observational study, the Boston Puerto Rican Health Study (BPRHS), who self-identified as of Puerto Rican descent. Demographics, APOE genotype, diet, blood, and clinical data were collected at baseline and at approximately 12th year, with the addition of multimodal brain magnetic resonance imaging (MRI) (T1-weighted and diffusion) and cognitive testing acquired at 12-year. Measures were compared between APOE4 carriers and non-carriers, and associations between multimodal variables were examined using correlation and multivariate network analyses within each group. Results A total of 156 BPRHS participants (mean age at imaging = 68 years, 77% female, mean follow-up 12.7 years) with complete multimodal data were included in the current analysis. APOE4 carriers (n = 43) showed reduced medial temporal lobe (MTL) white matter (WM) microstructural integrity and lower mini-mental state examination (MMSE) score than non-carriers (n = 113). This pattern was consistent with an independent sample from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) of n = 283 non-Hispanic White adults without dementia (mean age = 75, 40% female). Within BPRHS, carriers showed distinct connectivity patterns between multimodal biomarkers, characterized by stronger direct network connections between baseline diet/blood markers with 12-year blood/clinical measures, and between blood markers (especially lipids and cytokines) and WM. Cardiovascular burden (i.e., hypertension and diabetes status) was associated with WM integrity for both carriers and non-carriers. Conclusion APOE4 carrier status affects interactions between dietary factors, multimodal blood biomarkers, and MTL WM integrity across ~12 years of follow-up, which may reflect increased peripheral-central systems crosstalk following blood–brain barrier breakdown in carriers.
The Effect Of Economic Value Added (Eva), Market Value Added (MVA), Refined Economic Value Added (REVA) On Stock Prices And Stock Returns In Manufacturing Companies Listed In Indonesia Stock Exchange

The development of stock returns of manufacturing companies shows fluctuating movements from year to year. Return movements like this indicate that the condition of the manufacturing company is unstable so that it has an impact on the resulting stock returns. This uncertainty will certainly create its own concerns for investors who will invest in shares in manufacturing companies. With this, it is important for investors to analyze the company's condition first so that the investment made can provide returns. One aspect of the company that can be assessed by investors is the company's performance through financial statements. Helfert (2012: 98) grouped company performance measurements into three groups, namely (1) Earning Measures, (2) Cash Flow Measures, (3) Value Measures. Performance measurement based on value measures is economic value added (EVA), market value added (MVA), and refined economic value (REVA) This performance measurement holds the view that increasing value means also increasing long-term shareholder investment returns. Steward (2013: 115) states that value measures are considered to have capabilities that exceed Another performance measurement, because it takes into account all factors related to the creation (value) of the company that have an impact on the increasing prosperity of shareholders. The purpose of this study is to test EVA, MVA, and REVA against stock prices and stock returns. In this study using a research sample of 104 manufacturing companies taken through random sampling in the period 2014-2016. Data analysis and hypothesis testing in this study used the Partial Least Square Path Modeling (PLS-SEM) method. The results of this study show that EVA, MVA, and REVA have a significant positive relationship with stock price and stock return . By looking at the results of this study, it shows that performance appraisal using the EVA, MVA, and REVA methods has a strong influence on stock prices and stock returns . This shows that value-based valuation is important because every investment cannot escape the consequences of the incurring cost of capital as compensation for the funds used to finance the investment. The return on an investment will only mean that if the amount of return exceeds the cost of capital incurred to realize the investment, measurement certainly requires an accurate valuation method.
Study on the Detectability of Typhoon-Generated Acoustic-Gravity Waves

In this paper,the detectability of the ionospheric response to the typhoon-generated acoustic-gravity waves was studied through the statistical analysis of the HF Doppler shift records which come from the corresponding observation station at Peking University(39.4°N,116.2°E)and a comparison with corresponding typhoon data.It is shown that the HF Doppler frequency sound- ing can be an effective tool for detecting the acoustic-gravity waves excited by typhoon,and the detectability is as high as up to 22 out of 24 for the present study.The detailed analysis of the HF Doppler records at different stages of the typhoon influenced period was made under the quiet condi- tions.Then,a comparison was made with the results of Huang(2 out of 12)and the possible causes of the differences between these two studies were analyzed.The non-linear propagation process of the main disturbances is reappeared by the method of numerical simulation,and the simulation results are in good agreement with observation results and the linear theory of acoustic-gravity waves prop- agated in the atmosphere.This confirmed that the detectability should be high in general.Also it is shown that the differences of detectability may be due to the fact that the detectability keeps a close correlation with the difference of relative locations of the source of typhoon and Doppler observation sites,and the propagation pattern of the medium-scale TIDs in the ionosphere.
Paleocommunity Analysis of the Burgess Shale Tulip Beds, Mount Stephen, British Columbia: Comparison with the Walcott Quarry and Implications for Community Variation in the Burgess Shale

Abstract. The Tulip Beds locality on Mount Stephen (Yoho National Park, British Columbia) yields one of the most abundant and diverse (∼10,000 specimens in 110 taxa) Burgess Shale fossil assemblages in the Canadian Rockies. Detailed semi quantitative and quantitative analyses of this assemblage suggest strong similarities with the Walcott Quarry on Fossil Ridge. Both assemblages are dominated by epibenthic, sessile, and suspension feeding taxa, mostly represented by arthropods and sponges and have comparable diversity patterns, despite sharing only about half the genera. However, the Tulip Beds has a higher relative abundance of suspension feeders and taxa of unknown affinity compared to the Walcott Quarry. These biotic variations are probably largely attributable to ecological and evolutionary differences between the two temporally distinct communities that adapted to similar, but not identical, environmental settings. For instance, the Tulip Beds is farther away from the Cathedral Escarpment than the Walcott Quarry. The Tulip Beds and Walcott Quarry assemblages are more similar to each other than either one is to the assemblages of the Chengjiang biota, although the relative diversity of major taxonomic groups and ecological patterns are similar in all assemblages. The conserved diversity patterns and ecological structures among sites suggest that the ecological composition of Cambrian Burgess Shale-type communities was relatively stable across wide geographic and temporal scales.
Stratified Evaluation of GPT’s Question Answering in Surgery Reveals Artificial Intelligence (AI) Knowledge Gaps

Large language models (LLMs) have broad potential applications in medicine, such as aiding with education, providing reassurance to patients, and supporting clinical decision-making. However, there is a notable gap in understanding their applicability and performance in the surgical domain and how their performance varies across specialties. This paper aims to evaluate the performance of LLMs in answering surgical questions relevant to clinical practice and to assess how this performance varies across different surgical specialties. We used the MedMCQA dataset, a large-scale multi-choice question-answer (MCQA) dataset consisting of clinical questions across all areas of medicine. We extracted the relevant 23,035 surgical questions and submitted them to the popular LLMs Generative Pre-trained Transformers (GPT)-3.5 and GPT-4 (OpenAI OpCo, LLC, San Francisco, CA). Generative Pre-trained Transformer is a large language model that can generate human-like text by predicting subsequent words in a sentence based on the context of the words that come before it. It is pre-trained on a diverse range of texts and can perform a variety of tasks, such as answering questions, without needing task-specific training. The question-answering accuracy of GPT was calculated and compared between the two models and across surgical specialties. Both GPT-3.5 and GPT-4 achieved accuracies of 53.3% and 64.4%, respectively, on surgical questions, showing a statistically significant difference in performance. When compared to their performance on the full MedMCQA dataset, the two models performed differently: GPT-4 performed worse on surgical questions than on the dataset as a whole, while GPT-3.5 showed the opposite pattern. Significant variations in accuracy were also observed across different surgical specialties, with strong performances in anatomy, vascular, and paediatric surgery and worse performances in orthopaedics, ENT, and neurosurgery. Large language models exhibit promising capabilities in addressing surgical questions, although the variability in their performance between specialties cannot be ignored. The lower performance of the latest GPT-4 model on surgical questions relative to questions across all medicine highlights the need for targeted improvements and continuous updates to ensure relevance and accuracy in surgical applications. Further research and continuous monitoring of LLM performance in surgical domains are crucial to fully harnessing their potential and mitigating the risks of misinformation.