Miracle-dz/UniFAR-FTUs huggingface dataset:
PENERAPAN MODEL PROBLEM BASED LEARNING BERBANTUAN KAHOOT DAN GOOGLE EARTH UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR SPASIAL DAN HASIL BELAJAR GEOGRAFI SISWA SMA

Abstrak: Aktivitas belajar, hasil belajar dan kemampuan berpikir spasial masih menjadi permasalahan dalam pembelajaran geografi. Guru memerlukan upaya dalam meningkatkan kualitas pembelajaran di kelas geografi melalui tindakan kelas. Penelitian ini bertujuan mengetahui implementasi model PBL berbantuan Kahoot dan Google earth untuk meningkatkan aktivitas belajar, kemampuan berpikir spasial, dan hasil belajar geografi siswa kelas XII MIA 5 SMAN 15 Padang. Data dikumpulkan menggunakan tes hasil belajar, tes kemampuan berpikir spasial, dan observasi. Data primer dianalisis secara deskriptif kuantitatif dan kualitatif. Hasil penelitian membuktikan bahwa; model PBL berbantuan aplikasi kahoot dan google earth mampu meningkatkan aktivitas belajar geografi, model PBL berbantuan kahoot dan google earth mampu meningkatkan kemampuan berpikir spasial, model PBL berbantuan kahoot dan google earth mampu meningkatkan hasil belajar geografi. Peran serta yang dilakukan untuk meningkatkan aktivitas belajar, hasil belajar dan berpikir spasial dijelaskan dalam hasil penelitian ini. Abstract: Learning activities, learning outcomes and spatial thinking skills are still a problem in learning geography. Teachers need efforts to improve the quality of learning in geography classes through classroom action. This study aims to determine the implementation of the Kahoot-assisted PBL model and Google Earth to improve learning activities, spatial thinking abilities, and geography learning outcomes for class XII MIA 5 SMAN 15 Padang. Data were collected using learning achievement tests, spatial thinking skills tests, and observation. Primary data were analyzed by descriptive quantitative and qualitative. The research results prove that; PBL models assisted by kahoot and google earth applications are able to increase geography learning activities, PBL models assisted by kahoot and google earth are able to improve spatial thinking skills, PBL models assisted by kahoot and google earth are able to improve geography learning outcomes. Participation is done to increase learning activity, learning outcomes and spatial thinking are explained in the results of this study.
Reliable registration method for point clouds with low overlap

Abstract. Point cloud registration is a crucial task in fields such as three-dimensional reconstruction, target localization, and simultaneous localization and mapping. In the case of relatively low overlap, points out of the overlapping region act as interferences that will have a terrible impact on the registration results. Some existing registration methods improved for low-overlap situations still suffer from poor accuracy and low success rate. Therefore, a reliable two-stage registration method is introduced. First, a quality first sample consensus algorithm is used to determine the initial points for optimal transport and complete the coarse registration. Second, a reliable optimal transport algorithm is proposed for fine registration, in which the points for transmission are dynamically adjusted according to the iteration of the transport plan to improve the registration efficiency. In the registration experiments with the standard models and real scene models, this method reached 1e−02 and 1e−01 orders of magnitude, respectively, which outperforms better than the existing mainstream algorithms. This method can still perform excellent and stable registration results on multiple models and various missing cases, and the success rate is kept at more than 90%.
Molecular Marker Development for the Rapid Differentiation of Black Rot Causing Xanthomonas campestris pv. campestris Race 7

Xanthomonas campestris pv. campestris (Xcc) is a plant pathogen of Brassica crops that causes black rot disease throughout the world. At present, 11 physiological races of Xcc (races 1–11) have been reported. The conventional method of using differential cultivars for Xcc race detection is not accurate and it is laborious and time-consuming. Therefore, the development of specific molecular markers has been used as a substitute tool because it offers an accurate and reliable result, particularly a quick diagnosis of Xcc races. Previously, our laboratory has successfully developed race-specific molecular markers for Xcc races 1–6. In this study, specific molecular markers to identify Xcc race 7 have been developed. In the course of study, whole genome sequences of several Xcc races, X. campestris pv. incanae, X. campestris pv. raphani, and X. campestris pv. vesicatoria were aligned to identify variable regions like sequence-characterized amplified regions and insertions and deletions specific to race 7. Primer pairs were designed targeting these regions and validated against 22 samples. The polymerase chain reaction analysis revealed that three primer pairs specifically amplified the DNA fragment corresponding to race 7. The obtained finding clearly demonstrates the efficiency of the newly developed markers in accurately detecting Xcc race 7 among the other races. These results indicated that the newly developed marker can successfully and rapidly detect Xcc race 7 from other races. This study represents the first report on the successful development of specific molecular markers for Xcc race 7.
Palaeoposition of the Seychelles microcontinent in relation to the Deccan Traps and the Plume Generation Zone in Late Cretaceous-Early Palaeogene time

Abstract The Early Palaeogene magmatic rocks of North and Silhouette Islands in the Seychelles contain clues to the Cenozoic geodynamic puzzle of the Indian Ocean, but have so far lacked precise geochronological data and palaeomagnetic constraints. New 40Ar/39Ar and U–Pb dates demonstrate that these rocks were emplaced during magnetochron C28n; however, 40Ar/39Ar and palaeomagnetic data from Silhouette indicate that this complex experienced a protracted period of cooling. The Seychelles palaeomagnetic pole (57.55°S and 114.22°E; A9512.3°, N=14) corresponds to poles of similar ages from the Deccan Traps after being corrected for a clockwise rotation of 29.4°±12.9°. This implies that Seychelles acted as an independent microplate between the Indian and African plates during and possibly after C27r time, confirming recent results based on kinematic studies. Our reconstruction confirms that the eruption of the Deccan Traps, which affected both India and the Seychelles and triggered continental break-up, can be linked to the present active Reunion hotspot, which is being sourced as a deep plume from the Plume Generation Zone. Supplementary material: Experimental data are available at http://www.geolsoc. org.uk/SUP18482.
Education and Body Mass Index: Evidence from ECHP

We study the association between education and body mass index across ten European countries (Denmark, Belgium, Greece, Spain, Ireland, Italy, Austria, Portugal, Finland and Sweden) using the European Community Household Panel. OLS and Probit estimation suggest that on average education is associated with lower BMI and a lower probability of being obese. For women, the difference of BMI between the lowest education group and the highest one ranges between -7.15% (Austria) and -2.43% (Finland). The reduction in the probability of being obese ranges between -7.18% (Spain) and -3% (Italy). For men, the reduction of BMI ranges between -4.29%(Denmark) and zero (Greece). The reduction in the probability of being obese ranges between -7.84% (Austria) and zero (Greece). Quantile regression suggests that the effect of education is larger at the upper quantiles than at the lower ones. Higher education also reduces the dispersion of the BMI distribution.
Sensitivity Study of a Coastal Wave Model for Prediction of Ocean Waves over Indian Ocean Region

In this article, sensitivity of the SWAN coastal wave model towards wind inputs and physics options has been performed over the Indian Ocean by forcing the model with analyzed GDAS winds. Wind forcing simulations show that the model is sensitive to the wind errors. The simulations obtained using different physics options have been compared with altimeter and in situ data. The study indicates that the model with Janssen physics options simulates the significant wave height with a fairly high degree of accuracy. It has also been observed that the simulations are not too sensitive to the choice of propagation schemes.
Alterations in intra- and inter-network connectivity associated with cognition impairment in insulinoma patients

Objective Cognitive dysfunction is common in insulinoma patients, but the underlying neural mechanisms are less well understood. This study aimed to explore the alterations of intra- and inter-network connectivity patterns associated with patients with insulinoma. Methods Resting-state fMRI were acquired from 13 insulinoma patients and 13 matched healthy controls (HCs). Group Independent component analysis (ICA) was employed to capture the resting-state networks (RSNs), then the intra- and inter-network connectivity patterns, were calculated and compared. Montreal Cognitive Assessment (MoCA) was used to assess the cognitive function. The relationship between connectivity patterns and MoCA scores was also examined. Results Insulinoma patients performed significantly worse on MoCA compared to HCs. The intra-network connectivity analysis revealed that patients with insulinoma showed decreased connectivity in the left medial superior frontal gyrus within anterior default mode network (aDMN), and decreased connectivity in right lingual gyrus within the visual network (VN). The intra-network connectivity analysis showed that patients with insulinoma had an increased connectivity between the inferior-posterior default mode network (ipDMN) and right frontoparietal network (rFPN) and decreased connectivity between the ipDMN and auditory network (AUN). There was a significant negative correlation between the ipDMN-rFPN connectivity and MoCA score. Conclusion This study demonstrated significant abnormalities in the intra- and inter-network connectivity in patients with insulinoma, which may represent the neural mechanisms underlying the cognitive impairment in insulinoma patients.
Parameters and results of non-invasive neuromodulation in the management of chronic pelvic pain: integrative literature review

BACKGROUND AND OBJECTIVES : Chronic Pelvic Pain (CPP) is characterized by persistent pain in the pelvic region for more than six months, affecting both men and women and causing significant impairment in quality of life (QoL). Two of the main non-invasive approaches are Transcranial Magnetic Stimulation (TMS) and Transcranial Direct Current Stimulation (tDCS). These techniques aim to modulate neural activity and promote pain relief. In this context, this research conducted an integrative literature review to summarize the results of relevant studies, aiming to identify the key parameters used in TMS and tDCS for CPP treatment. The objective was to assess the effect and efficacy of non-invasive neuro-modulation as a therapeutic intervention for CPP. CONTENTS : For this integrative review, electronic searches were conducted in Pubmed, Scielo, PEDro, Medline, Cochrane, and Scopus databases, examining studies in Portuguese, English, or Spanish. The keywords “pelvic pain,” “transcranial direct current stimulation,” and “transcranial magnetic stimulation” and their derivatives were searched in the three languages in studies from 2013 to 2023. Seven studies were included for analysis. Both techniques showed positive effects in managing CPP, im-Parameters
Late Cretaceous to Miocene seamount accretion and mélange formation in the Osa and Burica Peninsulas (Southern Costa Rica): episodic growth of a convergent margin

Abstract Multidisciplinary study of the Osa and Burica peninsulas, Costa Rica, recognizes the Osa Igneous Complex and the Osa Mélange – records of a complex Late Cretaceous–Miocene tectonic–sedimentary history. The Igneous Complex, an accretionary prism (sensu stricto) comprises mainly basaltic lava flows, with minor sills, gabbroic intrusives, pelagic limestones and radiolarites. Sediments or igneous rocks derived from the upper plate are absent. Four units delimited on the base of stratigraphy and geochemistry lie in contact along reactivated palaeo-décollement zones. They comprise fragments of a Coniacian–Santonian oceanic plateau (Inner Osa Igneous Complex) and Coniacian–Santonian to Middle Eocene seamounts (Outer Osa Igneous Complex). The units are unrelated to other igneous complexes of Costa Rica and Panama and are exotic with respect to the partly overthickened Caribbean Plate; they formed by multiple accretions between the Late Cretaceous and Middle Eocene, prior to the genesis of the mélange. Events of high-rate accretion alternated with periods of low-rate accretion and tectonic erosion. The NW Osa Mélange in contact with the Osa Igneous Complex has a block-in-matrix texture at various scales, produced by sedimentary processes and later tectonically enhanced. Lithologies are mainly debris flows and hemipelagic deposits. Clastic components (grains to large boulders) indicate Late Eocene mass wasting of the Igneous Complex, forearc deposits and a volcanic arc. Gravitational accumulation of a thick pile of trench sediments culminated with shallow-level accretion. Mass-wasting along the margin was probably triggered by seamount subduction and/or plate reorganization at larger scale. The study provides new geological constraints for seamount subduction and associated accretionary processes, as well as on the erosive/accretionary nature of convergent margins devoid of accreted sediments.
A new approach for automatic matching of ground control points in urban areas from heterogeneous images

This paper discusses a new method for the automatic matching of ground control points (GCPs) between satellite remote sensing Image and digital raster graphic (DRG) in urban areas. The key of this method is to automatically extract tie point pairs according to geographic characters from such heterogeneous images. Since there are big differences between such heterogeneous images respect to texture and corner features, more detail analyzations are performed to find similarities and differences between high resolution remote sensing Image and (DRG). Furthermore a new algorithms based on the fuzzy-c means (FCM) method is proposed to extract linear feature in remote sensing Image. Based on linear feature, crossings and corners extracted from these features are chosen as GCPs. On the other hand, similar method was used to find same features from DRGs. Finally, Hausdorff Distance was adopted to pick matching GCPs from above two GCP groups. Experiences shown the method can extract GCPs from such images with a reasonable RMS error.
Angular variation of land surface spectral emissivity in the thermal infrared: laboratory investigations on bare soils

Abstract The angular variation of the thermal infrared emissivity of representative samples of naturally occurring materials was studied under laboratory conditions. The angular response of land surface will be of primary importance for thermal infrared remote sensing when two-angle data are available from the Along Track Scanning Radiometer (ATSR) aboard ERS-1. The results show that a decrease of the emissivity with increasing viewing angle does exist. The magnitude of this effect is not simply related to the optical properties of the material but depends also on scattering mechanism, grain size, porosity etc. SiO2 sand has a very small angular variation in the 100.12. 0 μm band, and a much larger one in the strong reflectivity bands. Agricultural soils may show a large angular effect, although rather constant with wavelength. The results of this study remain very local; their generalization to more complex media and larger scales is not straightforward.
Agulhas Eddies: A Synoptic View Using Geosat ERM Data

Abstract Warm core rings formed in the, Agulhas Retroflection transfer water from the Indian Ocean to the South Atlantic. In an attempt to measure the strength of this exchange, a combination of satellite altimeter and hydrographic data are used to examine Agulhas eddy paths and decay rates in the South Atlantic. Because the surface dynamic height of a warm core eddy is higher than surrounding waters, the rings are visible in satellite altimeter measurements. Over 20 Agulhas eddies have been tracked from maps of anomalous sea surface height (SSH) derived from the Geosat Exact Repeat Mission (ERM) dataset. The correlation (r2) of dynamic height referenced to 2000 dbar and anomaly SSH for one coincidentally sampled area is 97% within an Agulhas eddy, dropping to a fraction of that outside of it, indicating that the SSH anomaly signal is a reliable measure for strong features like Agulhas eddies. The sizes and distribution of the Agulhas eddies in the ERM record compare favorably with those in recent hydrogr.
Revised calibration of the geomagnetic polarity timescale for the Late Cretaceous and Cenozoic

Recently reported radioisotopic dates and magnetic anomaly spacings have made it evident that modification is required for the age calibrations for the geomagnetic polarity timescale of Cande and Kent (1992) at the Cretaceous/Paleogene boundary and in the Pliocene. An adjusted geomagnetic reversal chronology for the Late Cretaceous and Cenozoic is presented that is consistent with astrochronology in the Pleistocene and Pliocene and with a new timescale for the Mesozoic. The age of 66 Ma for the Cretaceous/Paleogene (K/P) boundary used for calibration in the geomagnetic polarity timescale of Cande and Kent (1992) (hereinafter referred to as CK92) was supported by high precision laser fusion Ar/Ar sanidine single crystal dates from nonmarine strata in Montana. However, these age determinations are now
Bernadette: Bayesian Inference and Model Selection for Stochastic Epidemics in R

The Coronavirus Disease 2019 (COVID-19) outbreak caused by SARS-CoV-2 has led to developments in Bayesian infectious disease modeling, allowing modelers to assess the impact of mitigation strategies on transmission and to quantify the burden of the pandemic. The Bernadette package (Bouranis, 2023) for the open-source R statistical software (R Core Team, 2023) implements a Bayesian evidence synthesis approach to modeling the age-specific transmission dynamics of a disease based on daily mortality counts. The functionality of Bernadette can be used to reconstruct the epidemic drivers from publicly available data, to estimate key epidemiological quantities like the rate of disease transmission, the latent counts of infections and the reproduction number for a given population over time, and to perform model comparison using information criteria. While Bernadette is motivated by the analysis of healthcare surveillance data related to COVID-19, it provides a template for implementation to a broader range of infectious disease epidemics and outbreaks.
Challenges and Prospective of AI and 5G-Enabled Technologies in Emerging Applications during the Pandemic

5G is being implemented in the Internet of things (IoT) era. This book chapter focuses on 5G technology and the integration of other digital technologies, such as artificial intelligence (AI) and machine learning, IoT, big data analytics, cloud computing, robotics, and other digital platforms into new healthcare applications. Now, the healthcare industry is implementing 5G-enabled technology to improve health services, medical research, quality of life, and medical professionals’ and patients’ experiences everywhere, at any time. Technology can facilitate faster medical research progress and better clinical and social services management. Furthermore, AI approaches with 5G connectivity may be able to combat the epidemic challenges with minimal resources. This book chapter underlines how 5G technology is growing to address epidemic concerns. The study highlights many technical issues and future developments for creating 5G-powered healthcare solutions. This chapter also addresses the key challenges AI and 5G technology face in emerging healthcare solutions. In addition, this book chapter highlights perspective, policy recommendations, and future research directions of AI and 5G-enabled technologies in confronting future pandemics. More research will be incorporated into future projects, including studies on developing a digital society based on 5G technology in healthcare emergencies.
How Much for Water? Economic Assessment and Mapping of Floodplain Water Storage as a Catchment-Scale Ecosystem Service of Wetlands

The integration of water management goals in protected wetland areas agriculturally managed in an intensive manner recalls the comparison of apples (ecological values) and oranges (economic dimension of agriculture). Sustainable wetland management frequently fails if environmental features are not referred to as ecosystem services and quantified in economic terms. In our hydrological-economical study on floodplain wetlands located in the Lower Basin of the Biebrza Valley, we attempt to quantify the monetary value of water storage in the floodplain during flood phenomena as an important ecosystem service. The unit monetary value of water storage in the catchment of Biebrza Valley was assessed on the basis of small artificial water reservoirs, constructed in recent years and located in the area of research, and reached 0.53 EUR·m−3·year−1. In a GIS-based study on hydrological floodplain processes in the years 1995–2011, we assessed the average annual volume of active water storage in the floodplain which reached 10.36 M m3 year−1, giving a monetary value of EUR 5.49 million per annum. We propose that the methodology presented in our analysis could be applied as water storage subsidies in valuable floodplains, to prevent their deterioration originating from agriculture intensification.