Miracle-dz/UniFAR-FTUs huggingface dataset:
Visibility graph analysis for brain: scoping review

In the past two decades, network-based analysis has garnered considerable attention for analyzing time series data across various fields. Time series data can be transformed into graphs or networks using different methods, with the visibility graph (VG) being a widely utilized approach. The VG holds extensive applications in comprehending, identifying, and predicting specific characteristics of time series data. Its practicality extends to domains such as medicine, economics, meteorology, tourism, and others. This research presents a scoping review of scholarly articles published in reputable English-language journals and conferences, focusing on VG-based analysis methods related to brain disorders. The aim is to provide a foundation for further and future research endeavors, beginning with an introduction to the VG and its various types. To achieve this, a systematic search and refinement of relevant articles were conducted in two prominent scientific databases: Google Scholar and Scopus. A total of 51 eligible articles were selected for a comprehensive analysis of the topic. These articles categorized based on publication year, type of VG used, rationale for utilization, machine learning algorithms employed, frequently occurring keywords, top authors and universities, evaluation metrics, applied network properties, and brain disorders examined, such as Epilepsy, Alzheimer’s disease, Autism, Alcoholism, Sleep disorders, Fatigue, Depression, and other related conditions. Moreover, there are recommendations for future advancements in research, which involve utilizing cutting-edge techniques like graph machine learning and deep learning. Additionally, the exploration of understudied medical conditions such as attention deficit hyperactivity disorder and Parkinson’s disease is also suggested.
Procedure for the Empirical Evaluation of Lateral Spread Displacement Hazard Curves

AbstractLiquefaction-induced lateral spread has caused substantial damage to buildings, bridges, embankments, buried utilities, and other critical components of infrastructure in numerous past earthquakes. Although many practitioners use analytical Newmark-based seismic slope displacement models to estimate liquefaction-induced lateral spread displacements, empirical regression models remain popular among most practicing professionals today. However, all lateral spread estimates have a significant level of uncertainty. This paper introduces a procedure to develop performance-based estimates of liquefaction-induced lateral spread displacement by incorporating a widely used empirical model into a probabilistic framework. Utilizing the same principles used in probabilistic seismic hazard analysis, the empirical lateral spread equation is modified and inserted into a performance-based framework modeled after the framework introduced by the Pacific Earthquake Engineering Research Center. Lateral spread hazard .
Green Enterprise Architecture (GREAN)—Leveraging EA for Environmentally Sustainable Digital Transformation

Digital Transformations (DT) play an increasingly important role in academia and business, yet their significant Environmental Footprint (EF) is often overlooked, sidelining their potential for Environmental Sustainability (ES). This paper bridges this gap by integrating ES into the discourse of DT, proposing Green Enterprise Architecture (GREAN) as a method for sustainable transformation. Utilizing a Design Science Research approach, we developed an artefact outlining a comprehensive strategy for embedding ES in DT across various layers of an organization. The tool’s need was validated via a systematic literature review (SLR), highlighting the significant research gap in Green Enterprise Architecture. The artefact provides concrete Courses of Action (CoAs) for incorporating ES into the organizational strategy, business, data, application, and technology layers and proposes relevant capabilities to address this. The paper further presents an ES-aware business capability modelling, an innovative business modelling approach that integrates environmental sustainability principles by using (in a novel way) the presentation and analysis methods that capability mapping offers. The proposed artefact serves as a starting point for environmentally sustainable DTs. Future research directions include in-depth exploration of each enterprise layer for ES, real-world validation of our proposed tools and concepts, and the expansion of these into a full framework.
Numerical simulation of potential inundation in a coastal zone

In this study, the physiographic inundation model that comprehensively accounts for the physical process of overland flow due to heavy rainfall and typhoon‐induced storm surge was applied to describe potential inundation in a coastal zone. A comparative study was first conducted to validate the model; the simulated results excellently agree with the field measurement concerning inundated depth and area during Typhoons Haitang and Kalmaegi. The model was then applied to calculate the corresponding potential inundation, inundated area, and inundated risk in a flood‐prone coastal zone under design rainfall of seven return periods (2‐year, 5‐year, 10‐year, 20‐year, 50‐year, 100‐year, and 200‐year) and the given hydrograph of storm surge. The simulated result indicates that 7.59% of the study area is under flooding when the return period is 2‐year and the ratio increases to 10.16% when the return period is 200‐year. Moreover, the ratio of the inundated area where the inundated depth is greater than 1 m to the total inundated area increases with an increase in the return period. It can be also found that more severe inundation arises in the lagoon and estuary together with both sides of tidal reach of rivers which also have higher inundated depth and risk.
Observation Denial and Performance of a Local Mesoscale Model

Forecasters at the 45th Weather Squadron (45 WS) use observations from the Kennedy Space Center (KSC) and Cape Canaveral Air Force Station (CCAFS) wind tower network and the CCAFS (XMR) daily rawinsonde observations (RAOB) to issue and verify wind advisories and warnings for operations. These observations are also used by the National Weather Service (NWS) Spaceflight Meteorology Group (SMG) in Houston, Texas and the NWS Melbourne, Florida (NWS MLB) to initialize their locally-run mesoscale models. In addition, SMG uses these observations to support shuttle landings at the Shuttle Landing Facility (SLF). Due to impending budget cuts, some or all of the wind towers on the east-central Florida mainland and the XMR RAOBs may be eliminated. The locations of the mainland towers and XMR RAOB site are shown in Figure 1. The loss of these data may impact the forecast capability of the 45 WS, SMG and NWS MLB.
Assessment of Mountain Tourism Sustainability Using Integrated Fuzzy MCDM Model

The sustainable development of mountain tourism is crucial for preserving the delicate ecosystems and resources found in these unique landscapes. This research paper investigates the sustainability of mountain lodges, which serve as essential facilities for delivering mountain tourism services. To assess sustainability, expert decision making involving eight selected experts was employed. A hybrid approach combining the IMF SWARA (IMproved Fuzzy Step-wise Weight Assessment Ratio Analysis) method with Fuzzy Dombi Aggregation Operators was utilized to determine the weights of various sustainability criteria. The IMF SWARA method assigned initial weights based on expert input, which were subsequently adjusted using Fuzzy Dombi Aggregation Operators. The findings highlight the significance of two key criteria as per expert evaluations: the quality of the services offered (C21) and the preservation of natural resources (C15). To rank and evaluate the mountain lodges, the fuzzy CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) method was employed, ultimately identifying Zabrana (ML6) as the top-ranked mountain lodge. The validity of these results was confirmed through result validation and sensitivity analysis. This research contributes by providing insights into the current state of mountain tourism and offering guidelines for enhancing the overall mountain tourism experience through the integration of fuzzy methods.
Chemical and optical properties of 2003 Siberian forest fire smoke observed at the summit of Mt. Fuji, Japan

Boreal forest fires are one of the major emission sources of trace atmospheric constituents in mid and high latitudes in the Northern Hemisphere. From late May through early June 2003, dense smoke aerosols that originated from large forest fires in Siberia were monitored on the summit of Mt. Fuji (3776 m msl.), Japan, a free-tropospheric height monitoring site where measurements of atmospheric chemistry were briefly intensified during a research project called Atmospheric Environmental Impact of Aerosols in East Asia (AIE). Inside a smoke layer, concentrations of black carbon (BC) measured by an Aethalometer exceeded 1900 ng m -3 with a concurrent increase of carbon monoxide mixing ratio. The slope of a BC/CO regression line was steeper than those obtained in other studies using measurements from lower-altitude ground monitoring stations, suggesting minimal wet removal processes. The smoke aerosols contained high levels of n-alkanes of high molecular weight and indicated high carbon preference indices. The time series of CO and O 3 mixing ratios indicated a double-layered vertical structure in which a high O 3 mixing ratio layer lay on top of a smoke layer. The wavelength dependence of the absorption coefficient of the smoke showed a slope much steeper than that measured in urban influenced measurements. The higher absorption in the shorter wavelengths was consistent with an abundance of organic species within the smoke.
A Novel Soft Fault Detection and Diagnosis Method for a DC/DC Buck Converter Based on Contrastive Learning

DC/DC converter is widely used in power electronic applications as a critical part of power supply. During operation, component parameters of the dc/dc converter gradually degrade subjected to various environmental stresses. When they degrade to deviate from the normal value, soft faults will occur and directly affect the functionality and reliability of the whole system. To identify these anomalies effectively, a novel soft fault detection and diagnosis method based on contrastive learning is proposed for a dc/dc buck converter. First, the output voltage ripples of the converter under healthy and faulty conditions are collected. Then, a feature representation of the voltage ripple is obtained through hierarchical contrastive learning at temporal-level and instance-level. Based on the learned representation, a support vector machine classifier is established to detect and locate soft faults. The proposed method does not need extra hardware or signal injection, thereby reducing the cost and complexity. Simulation and physical experiment results verify the effectiveness and robustness of the proposed method.
The Evolving Nature (or Not) of Sustainability Communications in New Home Building in Australia

Research has demonstrated that sustainable homes can help mitigate the impact of climate change and assist with meeting international climate targets. However, market implementation has been slow due to limited regulatory regimes and poor engagement by home builders across Australia. In Australia, homes are commonly built by ‘volume home builders’ (VHBs), who are defined as home builders who build large quantities of homes, generally from a standardised set of plans and formats. The Housing Institute of Australia (HIA) ranks the largest volume home builders annually in their top 100 home builders report. To evaluate the VHBs’ approach to communicating sustainability in their home products, this study used content analysis techniques to investigate their use of online communication channels (websites, blogs and social media accounts). This study examined 23 New South Wales VHBs in 2020 and 2022 and compared them to a study of Australia’s top 100 VHBs in 2016. The findings demonstrated a significant increase in the level of sustainability communications in their online channels between 2016 and 2020 but showed a decrease between 2020 and 2022. Overall, the level of detail, the type of information and the educational quality improved from 2016 to 2022. However, only two VHBs provided a high level of sustainability information. The most recent results illustrated that VHBs have moved away from having sustainability links and terminology on their websites compared to the 2020 baseline. This study demonstrated that leading Australian VHBs have an enormous opportunity to improve their sustainability messaging and suggested recommendations for enhancing communication capabilities and providing more meaningful sustainability information.
Quality Comparison of Three Metal Additive Manufacturing Technologies on an Automotive Sealant Nozzle

Additive Manufacturing (AM) [1] is playing every day a bigger role in the automotive industry because of its cost competitiveness, short delivery lead times and potential for design flexibility and optimization. Plastics and polymers are the most common materials used to produce AM parts in this sector, however metal AM is increasing its importance as there are specific applications that require mechanical characteristics that can only be achieved with metals such as stainless steel, titanium, hard steel, copper, aluminum, and others. There is an increasing number of metal AM technologies and Original Equipment Manufacturers (OEMs) competing in the industry with a very widespread list of advantages and disadvantages of each of them. We are at a point where automotive manufacturers need to make a complex decision on which metal AM equipment to purchase. This paper describes the main metal AM technologies and highlight the advantages and disadvantages of each of them. Additionally, three of the most competitive Metal AM technologies are compared: Powder Bed Fusion (PBF), Metal Filament Deposition Modeling (MFDM) and Bound Metal Deposition (BMD) on a specific experimental sample. For this study, a very common and representative automotive part has been chosen that is well suited to be printed in metal and can be manufactured in the three chosen technologies. A nozzle from the automotive body plant used to distribute accuratey a sealant bead onto a body panel before the final assembly operation was selected. These sample parts have been trialed for function and evaluated in general terms from a quality point of view. The conclusions included in this paper will help the automotive industry players understand which technology to use for this specific part and other parts with similar characteristics. Additional work will focus on specific quality characteristics such as material composition, mechanical properties, dimensional accuracy, and specific defects found to compare these technologies in detail. Furthermore, a selection of other automotive parts and technologies will be necessary to enlarge the knowledge on the application of metal AM on this field.
An Examination of the Implementation and Challenges of the Merdeka Curriculum in Madrasah Aliyah: A Case Study on the Al-Qur'an Hadith Subject

The objectives of this study are: 1) Assessing the implementation of the Independent Curriculum in class X Qur'anic Hadith subjects in MAN 1 for the 2022/2023 school year, and 2) Identifying obstacles educators face in the implementation. The method used is descriptive qualitative research. The study subjects included the Deputy Head of Madrasah for Curriculum, Teachers of Qur'anic Hadith, and Students at MAN 1 Kendari. Data collection techniques include observation, interviews, and documentation, with data analysis techniques through data reduction, data presentation, and conclusions. The results showed that implementing the Independent Curriculum in MAN 1 Kendari had been carried out but was not fully successful. In this context, the Merdeka Curriculum is no longer focused on cross-interest; Grade 10 students learn all the basic material, which becomes the basis for determining majors in grade 11. This process includes learning planning in the form of Learning Objectives Flow Planning, Learning Objectives, and Making modules, implementing the learning process through the stages of observing, questioning, collecting information, and strengthening material, as well as assessment, which includes formative and summative functions. These assessments are carried out directly by educators, including cognitive assessments such as knowledge, skills in reading the Qur'an and Hadith, as well as skills in revealing knowledge material, and also through written assessments.
Selenium Speciation Studies from Soan-Sakesar Valley, Salt Range, Pakistan

Abstract A regional study of Selenium (Se) speciation in surface waters, groundwaters, and saturation extracts from Soan-Sakesar valley Salt-Range, Pakistan was started in March 1994 and completed in October 1996. Groundwaters, streams, and springs had median concentrations of: total Se 48, 404.5, and 82 μg/l; Se+VI 40, 350 and 51 μg/l; Se+IV 8, 48 and 29 μg/l; Se-II 0, 6.5 and 2.0 μg/l, respectively. The concentration of Se exceeded the recommended water quality guidelines for drinking and irrigation water of 10 and 20 μg/l, respectively. In saturation extracts, median total Se, Se+VI, Se+IV and Se-II were 190, 146, 37 and 7.0 μg/l, respectively. Uchhali, Khabbaki and Jahlar lake water samples had the mean concentration of: total Se 2103, 670 and 297 μg/l; Se+VI 1777, 470, and 233 μg/l; Se+IV 291, 166 and 39 μg/l; Se-II 35, 34 and 25 μg/l, respectively. The Sakesar limestone Formation of Eocene age rich in shales and fossils (median Se concentration 7.2 μg/kg) are considered to be the source of selenium that have enriched soils of Soan-Sakesar valley. Selenim speciation results show the abundance of selenate in all the environmental samples. A linear relationship between Se+VI and pH (R2= 0.84, 0.58, 0.88, 0.82, and 0.91; significant at the 0.05 level) for groundwater, saturation extract, stream, spring, and lake waters were noted, suggesting that the Se+VI in the samples is highly associated with pH. Linear relationships were established between Se+VI and Mg, NO3, and SO4 for groundwater (R2= 0.24, 0.16, and 0.64; significant at the 0.01 level) and surface water (R2= 0.96, 0.14, and 0.91; significant at the 0.001 level). This suggests the high concentrations of Mg, NO3 and SO4, which strongly adsorb and compete with selenium for surface site, increases the Se+VI fraction. The results show that the higher percentage of selenate on other species in the analyzed samples is favored by higher pH and oxidizing environments of the valley.
The intensities of canonical senescence biomarkers integrate the duration of cell-cycle withdrawal

Senescence, a state of permanent cell-cycle withdrawal, is difficult to distinguish from quiescence, a transient state of cell-cycle withdrawal. This difficulty arises because quiescent and senescent cells are defined by overlapping biomarkers, raising the question of whether quiescence and senescence are truly distinct states. To address this, we used single-cell time-lapse imaging to distinguish slow-cycling quiescent cells from bona fide senescent cells after chemotherapy treatment, followed immediately by staining for various senescence biomarkers. We found that the staining intensity of multiple senescence biomarkers is graded rather than binary and primarily reflects the duration of cell-cycle withdrawal, rather than senescence per se. Together, our data suggest that quiescence and senescence are not distinct cellular states but rather fall on a continuum of cell-cycle withdrawal, where the intensities of canonical senescence biomarkers reflect the likelihood of cell-cycle re-entry.
Provenance of Palaeo‐Rhine sediments from zircon thermochronology, geochemistry, U/Pb dating and heavy mineral assemblages

Sediments deposited in the Late Cenozoic basins of the Central European Rift System, including the Upper Rhine Graben (URG) and the Lower Rhine Embayment (LRE), document the drastic extension of the Rhine's catchment towards the Central Alps in the Late Pliocene by distinct heavy mineral assemblages. This outstanding change in principal sediment sources should be accompanied by a change towards distinctly younger (i.e. Tertiary) detrital mineral cooling ages. Therefore, it provides a particularly well‐suited framework to explore the thermochronological provenance record in relation to heavy mineral assemblages. In this multi‐proxy approach we (i) exploit and elaborate detrital zircon (U–Th)/He thermochronology (ZHe) for sediment provenance surveys, (ii) document shortcomings if only a single geochronological method is employed, and (iii) obtain tighter constraints on the sources of Paleo‐Rhine sediments. Our results are based on Pliocene and Pleistocene sediment samples from the northern URG (drill core Ludwigshafen P36) and the LRE (lignite mine Hambach). In a Late Pliocene URG sample, Variscan and Permo‐Triassic cooling ages dominate the age spectra of the ZHe and Zircon fission track (ZFT) thermochronometers. The youngest ages are Late Cretaceous and these zircons show rare earth element signatures that suggest derivation from hydrothermally affected basement rocks of the URG margins. In contrast, a Lower Pleistocene URG sample contains significant Tertiary age components that unequivocally indicate Alpine sources. This cardinal difference coincides well with a significant change in the heavy mineral assemblage. The extension of the catchment of the Rhine towards the Central Alps is considered to occur no earlier than the latest Pliocene (i.e. after ~3.0 Ma). Despite strongly contrasting heavy mineral compositions, the Pliocene and Pleistocene samples from the LRE show largely similar ZHe and ZFT age distributions dominated by Permo‐Triassic and Variscan ages. Admixture of zircon‐dominated, but overall heavy mineral‐poor sediment derived from local drainages of the Rhenish Massif likely explains this apparent contradiction in sediment provenance proxies. Tertiary cooling ages occur in both Pliocene and Pleistocene LRE samples. Zircon Th/U ratios and U/Pb ages reveal that the young age component in Late Pliocene sediments from the LRE is not derived from the Alps but from Oligocene trachytic members of the Central European volcanic centres of the Vogelsberg, Westerwald, and/or Siebengebirge. The integration of ZHe and ZFT techniques with zircon geochemistry and U/Pb geochronology adds the respective advantages of each method and allows for a very detailed picture of detrital zircon provenance.