Miracle-dz/UniFAR-FTUs huggingface dataset:
NEUTRINO-DRIVEN WINDS IN THE AFTERMATH OF A NEUTRON STAR MERGER: NUCLEOSYNTHESIS AND ELECTROMAGNETIC TRANSIENTS

We present a comprehensive nucleosynthesis study of the neutrino-driven wind in the aftermath of a binary neutron star merger. Our focus is the initial remnant phase when a massive central neutron star is present. Using tracers from a recent hydrodynamical simulation, we determine total masses and integrated abundances to characterize the composition of unbound matter. We find that the nucleosynthetic yields depend sensitively on both the life time of the massive neutron star and the polar angle. Matter in excess of up to 9 × 10−3 M⊙ becomes unbound until ∼200 ms. Due to electron fractions of Ye ≈ 0.2–0.4, mainly nuclei with mass numbers A < 130 are synthesized, complementing the yields from the earlier dynamic ejecta. Mixing scenarios with these two types of ejecta can explain the abundance pattern in r-process enriched metal-poor stars. Additionally, we calculate heating rates for the decay of the freshly produced radioactive isotopes. The resulting light curve peaks in the blue band after about 4 hr. Furthermore, high opacities due to heavy r-process nuclei in the dynamic ejecta lead to a second peak in the infrared after 3–4 days.
Testudo: Collaborative Intelligence for Latency-Critical Autonomous Systems

Edge computing is to be widely adopted for autonomous systems (ASs) applications as compute-intensive processing tasks can be offloaded to compute-capable servers located at the edge of the network infrastructure. Given the critical nature of numerous AS applications, their tasks are mostly governed by strict execution deadlines to alleviate any safety concerns from delayed responses. Although wireless link uncertainty has prompted recent works to designate redundant local execution as an offloading fail-safe to ensure these deadlines are met, frequent invocation of such fail-safe mechanisms can potentially undermine the extent of performance gains from offloading. In this article, we thoroughly analyze how redundant execution overheads can influence the overall performance. Then, we present TESTUDO, a methodology to optimize the energy consumption for latency-sensitive AS applications employing collaborative edge computing. Primarily, our methodology encompasses two main stages: 1) designing processing pipelines supporting optimal offloading points and fail-safe integration using modular design techniques and 2) developing a context-aware adaptive runtime solution based on deep reinforcement learning to adapt the mode of operation according to the wireless network status. Our experiments for end-to-end control and object detection use-cases have shown that TESTUDO achieved energy gains reaching up to 31% and 13.4% (15.9% and 5.3% on average) for the former and latter, respectively, while incurring little-to-no degradation in prediction scores (< 1% change) from state-of-the-art strategies.
A Study on Risk Factors of Under-nutrition of under-five children in an urban area of Malda district, West Bengal

Introduction: Under-nutrition is highly prevalent in developing countries including India. Many risk factors are responsible for the occurrence of under-nutrition. To understand area specific causes (risk factors) responsible for under-nutrition among under-five children in Malda town, a case control study was undertaken. Methods: Forty two cases with under-nutrition (weight for age <-2SD) and 84 controls with normal weight (weight for age â‰¥ -2SD were selected from 6 ICDS centres in 1:2 ratio. Results: Of the selected cases, 22(52.4%) were moderately underweight and 20 (47.6%) were severely underweight; 57% were male & 43% were female children. 55% Mothers of severely underweight children were illiterate whereas 65% fathers of severely under-weight children were labourer. From bivariate analysis it was reflected that no statistical differences were there between underweight & normal weight children with respect to variables like family size, per capita family income, Maternal age at child birth, birth weight, breast feeding & its duration, diarrhoea and worm infestation(p>.05). Factors like fathersâ€™ occupation, ARI (38.1% vs17.8%), feeding problems (65% vs. 40.5%), incomplete vaccination (73.8% vs39.3%) were associated with under-nutrition (P<.01). Undernourished children showed statistical association with angular stomatitis, conjunctival xerosis, bilateral oedema & severe wasting compared to normal nourished children. (p<.01). Conclusion: Factors like fathersâ€™ occupation, ARI, feeding problems, incomplete vaccination were associated with under-nutrition of under-fives attending ICDS centres in an urban setting of Malda district, West Bengal.
Optimising two-stage robust supplier selection and order allocation problem under risk-averse criterion

This paper studies the supplier selection and order allocation (SS&OA) problem, where risks include a series of disruption scenarios with uncertain probability of occurrence. It is a challenge for industry decision-makers to balance the average cost and the level of risk under the ambiguity set for probabilities. To address this challenge, a two-stage distributionally robust (DR) Mean-CVaR model is presented for the SS&OA problem. A procedure is developed for constructing the ambiguity set, and Polyhedral and Box ambiguity sets are constructed to characterise the uncertain probabilities. The worst-case Mean-CVaR criterion is employed for the second-stage cost within the ambiguity set to trade off the expected cost and CVaR value. Three measures are incorporated to increase the resilience of the supply chain. The proposed robust model is reformulated into two mixed-integer linear programming models. A real case of the Huawei cell phone manufacturer is used to illustrate the validity of the proposed approach in numerical settings. Experimental results show that the new optimising approach can provide a robust SS&OA solution to immunise against the influence caused by uncertain probabilities. By comparative analyses, some management insights are obtained for industry decision-makers.
Time-Resolved Mass Sensing of a Molecular Adsorbate Nonuniformly Distributed Along a Nanomechnical String

We show that the particular distribution of mass deposited on the surface of a nanomechanical resonator can be estimated by tracking the evolution of the device's resonance frequencies during the process of desorption. The technique, which relies on analytical models we have developed for the multimodal response of the system, enables mass sensing at much higher levels of accuracy than is typically achieved with a single frequency-shift measurement and no rigorous knowledge of the mass profile. We report on a series of demonstration experiments, in which the explosive molecule 1,3,5-trinitroperhydro-1,3,5-triazine (RDX) is vapor deposited along the length of a silicon nitride nanostring to create a dense, random covering of RDX crystallites on the surface. In some cases, the deposition is biased to produce distributions with a slight excess or deficit of mass at the string midpoint. The added mass is then allowed to sublimate away under vacuum conditions, with the device returning to its original state over about 4 h (and the resonance frequencies, measured via optical interferometry, relaxing back to their pre-mass-deposition values). Our claim is that the detailed time trace of observed frequency shifts is rich in information---not only about the quantity of RDX initially deposited but also about its spatial arrangement along the nanostring. The data also reveal that sublimation in this case follows a nontrivial rate law, consistent with mass loss occurring at the exposed surface area of the RDX crystallites.
Hedge fund activism and internal control weaknesses

PurposeThe aim of the paper is to investigate the associations between hedge fund activism and corporate internal control weaknesses.Design/methodology/approachIn this paper, the authors identify hedge fund activism events using 13D filings and news search. After matching with internal control related information from Audit Analytics, the authors utilize ordinary least square (OLS) and propensity score matching (PSM) to analyze the data.FindingsThe authors find that after hedge fund activism, target firms report additional internal control weaknesses, and these identified internal control weaknesses are remediated in subsequent years, leading to better financial-reporting quality.Originality/valueThe findings indicate that both managers and activists have incentives to develop a stronger internal control environment after targeting.
A prompt radio transient associated with a gamma-ray superflare from the young M dwarf binary DG CVn.

On 2014 April 23, the Swift satellite detected a gamma-ray superflare from the nearby star system DG CVn. This system comprises a M-dwarf binary with extreme properties: it is very young and at least one of the components is a very rapid rotator. The gamma-ray superflare is one of only a handful detected by Swift in a decade. As part of our AMI-LA Rapid Response Mode, ALARRM, we automatically slewed to this target, were taking data at 15 GHz within six minutes of the burst, and detected a bright (~100 mJy) radio flare. This is the earliest detection of bright, prompt, radio emission from a high energy transient ever made with a radio telescope, and is possibly the most luminous incoherent radio flare ever observed from a red dwarf star. An additional bright radio flare, peaking at around 90 mJy, occurred around one day later, and there may have been further events between 0.1-1 days when we had no radio coverage. The source subsequently returned to a quiescent level of 2-3 mJy on a timescale of about 4 days. Although radio emission is known to be associated with active stars, this is the first detection of large radio flares associated with a gamma ray superflare, and demonstrates both feasibility and scientific importance of rapid response modes on radio telescopes.
IONIZATION AND DUST CHARGING IN PROTOPLANETARY DISKS

Ionization–recombination balance in dense interstellar and circumstellar environments is a key factor for a variety of important physical processes, such as chemical reactions, dust charging and coagulation, coupling of the gas with magnetic field, and development of instabilities in protoplanetary disks. We determine a critical gas density above which the recombination of electrons and ions on the grain surface dominates over the gas-phase recombination. For this regime, we present a self-consistent analytical model, which allows us to calculate exactly the abundances of charged species in dusty gas, without making assumptions on the grain charge distribution. To demonstrate the importance of the proposed approach, we check whether the conventional approximation of low grain charges is valid for typical protoplanetary disks, and discuss the implications for dust coagulation and development of the “dead zone” in the disk. The presented model is applicable for arbitrary grain-size distributions and, for given dust properties and conditions of the disk, has only one free parameter—the effective mass of the ions, shown to have a small effect on the results. The model can be easily included in numerical simulations following the dust evolution in dense molecular clouds and protoplanetary disks.
Developing Building Management System Framework using Web-based-GIS and BIM Integration

Building Information Modeling (BIM) and Geographic Information systems (GIS) are two digital system innovations advantageously applied in the Architecture, Engineering, Construction, and Operations (AECO) sectors. GIS and BIM integration development is indispensable in building and infrastructure management. This integration promises several benefits for the operational phase of buildings and infrastructures. However, it faces challenges in data transformation and collaboration. This study proposes a framework and model for a web-based building management platform. The framework is developed by transforming BIM data into the GIS environment using the latest technology from ArcGIS. It allows data-sharing and collaboration among stakeholders, help build management, and is valuable for decision-making. The stakeholders, who do not need a BIM-GIS expert, could virtually see the report and updates of this building model every time.
Hot accretion flow with radiative cooling: state transitions in black hole X-ray binaries

We investigate state transitions in black hole X-ray binaries through different parameters by using two-dimensional axisymmetric hydrodynamical simulation method. For radiative cooling in hot accretion flow, we take into account the bremsstrahlung, synchrotron and synchrotron-self Comptonization self-consistently in the dynamics. Our main result is that the state transitions occur when the accretion rate reaches a critical value $\dot M \sim 3\alpha\ \dot M_{\rm Edd}$, above which cold and dense clumpy/filamentary structures are formed, embedded within the hot gas. We argued this mode likely corresponds to the proposed two-phase accretion model, which may be responsible for the intermediate state of black hole X-ray binaries. When the accretion rate becomes sufficiently high, the clumpy/filamentary structures gradually merge and settle down onto the mid-plane. Eventually the accretion geometry transforms to a disc-corona configuration. In summary our results are consistent with the truncated accretion scenario for the state transition.
Polarisation observations of H_2O J_(K-1) K_1 = 5_(32) – 4_(41) 620.701 GHz maser emission with Herschel/HIFI in Orion KL

Context. The high intensities and narrow bandwidths exhibited by some astronomical masers make them ideal tools for studying star-forming giant molecular clouds. The water maser transition J_(K-1K1) = 5_(32)−4_(41) at 620.701 GHz can only be observed from above Earth’s strongly absorbing atmosphere; its emission has recently been detected from space. Aims. We sought to further characterize the star-forming environment of Orion KL by investigating the linear polarisation of a source emitting a narrow 620.701 GHz maser feature with the heterodyne spectrometer HIFI on board the Herschel Space Observatory. Methods. High-resolution spectral datasets were collected over a thirteen month period beginning in 2011 March, to establish not only the linear polarisation but also the temporal variability of the source. Results. Within a 3σ uncertainty, no polarisation was detected to an upper limit of approximately 2%. These results are compared with coeval linear polarisation measurements of the 22.235 GHz J_(K-1K1) = 6_(16) – 5_(23) maser line from the Effelsberg 100-m radio telescope, typically a much stronger maser transition. Although strongly polarised emission is observed for one component of the 22.235 GHz maser at 7.2 km s^(-1), a weaker component at the same velocity as the 620.701 GHz maser at 11.7 km s^(-1) is much less polarised.
New 6 and 3-cm radio-continuum maps of the Small Magellanic Cloud : Part II - point source catalogue

We present two new catalogues of radio-continuum sources in the field of the Small Magellanic Cloud (SMC). These catalogues contain sources found at 4800 MHz (λ=6cm) and 8640 MHz (λ=3cm). Some 457 sources have been detected at 3cm with 601 sources at 6cm created from new high-sensitivity and resolution radio-continuum images of the SMC from Crawford et al. (2011).
Incorporating Tax Education into Non-Accounting Curriculum: A Malaysian and Indonesian Study

This study examines whether Malaysian and Indonesian colleges and universities need to formally include tax education in all fields of study at all tertiary level. Three hundred forty-nine academicians from Malaysia and 127 from Indonesia answered the survey. The finding shows that both countries’ academicians hold comparable views on the need to include tax education as an elective course in all fields of study. Furthermore, the results show that both respondents have a good grasp of three basic tax facts. Finally, the findings inform policymakers about the necessity of formally incorporating tax education at all tertiary studies. Keywords: Tax education; Tax compliance; Non-accounting curriculum eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7i21. 3690
Development of a gas microvalve based on fine- and micromachining

The thesis is focused on the development of the microvalve. The aim was to realize a microvalve using the combination of micro and fine machining to achieve the preferred characteristics of microvalves such as no leakage, controlled flow for high inlet pressures, control flow at different intermediate states with certain precision such as with 1-2% of full scale flow, low power consumption, robust against burst pressure, insensitivity to particular contamination, fast response time, potential for linear operation, ability to control the flow for different pressure regimes with single design. Additionally the valve should be capable of controlling the flow without power consumption at different intermediate states during valve operation.
Indoor Positioning and Navigating System Application Using Wi-Fi with Fingerprinting Method and Weighted K-Nearest Neighbor Algorithm

The need for accurate indoor location determination, object tracking, digital maps and indoor travel routes is increasing along with the construction of buildings that have complex and spacious layouts. The current Global Positioning System navigation system is only effective for outdoor use. However, when used indoors it becomes inaccurate due to factors such as signal attenuation and multipath caused by wall obstructions in the building. This study designed an application of Indoor Positioning and Navigating System Using Wi-Fi with Fingerprinting method and Weighted K-Nearest Neighbor algorithm. In the design process, it is necessary to create a fingerprinting database by considering the number of Access points and environmental conditions. Based on the results of the study, the location results of the application show that from floors 1,2, and 3. Floor 1 has a room accuracy result of 89% and a point accuracy of 86% with an average deviation of 1.42 px or 0.9 m, floor 2 has room accuracy results. of 65% and a point accuracy of 70% with an average deviation of 2.43 px or 1.7 m, and the 3rd floor has a room accuracy of 86% and a point accuracy of 68% with an average deviation of 2.27 or 1.5 m. Based on the data above, this application is proven to be able to detect the position of someone in the room with a success percentage on the 1st floor by 90%, the 2nd floor by 55%, and the 3rd floor by 80%.
Characterizing the Crosstalk of NCAPG with Tumor Microenvironment and Tumor Stemness in Stomach Adenocarcinoma

Background Nonstructural maintenance of non-SMC condensin I complex subunit G (NCAPG) exerts critical effects on cancer progression. However, its biological roles in tumorigenesis and metastasis remain unclear. Thus, we aimed to assess the prognostic utility of NCAPG in stomach adenocarcinoma (STAD) and its potential as a tumor biomarker. Methods Pan-cancer expression profile dataset from public databases and corresponding clinical information were extracted. Single-sample gene set enrichment analysis (ssGSEA) was performed for the evaluation of immune correlations pan-cancer. Subsequently, we focused on STAD and evaluated the methylation profiles, copy number variants (CNVs), and single nucleotide variants (SNVs). Immune features were analyzed between high and low NCAPG expression groups. Differential analysis was performed between high and low expression groups to identify differentially expressed genes (DEGs). Prognostic DEGs were screened by univariate analysis, and an NCAPG-based risk model was constructed based on the prognostic DEGs and LASSO analysis. Results NCAPG expression in STAD was significantly and positively correlated with four immune checkpoints, namely, CTLA4, PDCD1, LAG3, and CD276, but was negatively correlated with the infiltration of most immune cells. High and low NCAPG expression groups had differential overall survival, tumor mutation burden, and differential enrichment of therapeutic-related pathways. An immune risk scoring model related to NCAPG expression and immune score was constructed which showed a favorable performance in predicting STAD prognosis as well as predicting the response to immunotherapy. In addition, we found a higher mRNA stemness index (mRNAsi) in the high-risk group and a positive correlation between NCAPG expression and mRNAsi. Conclusion NCAPG was suggested to be involved in the regulation of tumor microenvironment in STAD. High NCAPG expression was related to high tumor stemness and good prognosis. The immune risk model had a potential to predict STAD prognosis and help directing therapeutic treatment.
Algumas aplicações algébricas da teoria dos modelos

Let K be an algebraically closed field. We say that a subset of K, where n is a positive natural number, is constructible if it is a boolean combination of Zariski closed sets. In Model Theory, a subset of K is said be definable if every elements of this set, and only these elements, satisfy a determined property defined by a formula in the first-order language or rings. One of our main goals will be to show, in algebraically closed field theory, the equivalence between the constructible sets and the definable sets. Finally, we will prove some algebraic results, like the Hilbert’s Nullstellensatz, using Model Theory techniques.
Comparison of conversion matrices for a compact AES–CTR defined over an isomorphic field

AES is a widely used block cipher that adopts inverse operation over $\mathbb{F}_{2^{8}}$ in the nonlinear operation, called SubBytes. The inverse operation is usually implemented by a lookup table considering its time-consuming nature. In this paper, the authors introduce an isomorphic field $\mathbb{F}_{(2^{4})^{2}}$ and compare several conversion matrices by counting the number of required logic gates (AND and XOR) to reduce the circuit size.
Dust settling and rapid planetary migration

Planetary migration is essential to explain the observed mass–period relation for exoplanets. Without some stopping mechanism, the tidal, resonant interaction between planets and their gaseous disc generally causes the planets to migrate inward so efficiently that they plunge into the host star within the gaseous disc lifetime (∼1–3 Myr). We investigate planetary migration by analytically calculating the migration rate and time within self-consistently computed, radiatively heated discs around M stars in which the effects of dust settling are included. We show that dust settling lowers the disc temperature and raises the gas density in the mid-plane. This inescapable evolution of disc structure speeds up type I planetary migration for lower mass bodies by up to a factor of about 2. We also examine the effects of dust settling on the gap-opening mass and type II migration, and find that the gap-opening mass is reduced by a factor of 2 and type II migration becomes slower by a factor of 2. While dust settling can somewhat alleviate the problem of planetary migration for more massive planets, the more rapid migration of low-mass planets and planetary cores requires a robust slowing mechanism.