bluuebunny/crossref_metadata_2025 huggingface dataset:
PENINGKATAN KEMAMPUAN MENYIMAK MELALUI METODE PARAFRASE PADA MAHASISWA UNIVERSITAS AUFA ROYHAN PROGRAM STUDI S -1 KEBIDANAN
Authors: Siregar Juliana
Published: August 2024

Adapun Permasalahan dalam penelitian ini adalah kemampuan menyimak mahasiswa yang sangat rendah sehingga tidak mencapai ketuntasan kemampuan belajar yang diharapkan. Permasalahan ini terjadi, diantaranya kurangnya pemahaman terhadap mata kuliah, dan ketidaktepatan dalam pemilihan cara pembelajaran yang digunakan dosen. Faktor lain, berasal dari mahasiswa adalah kurangnya motivasi untuk menyimak. Tujuan penelitian ini untuk mendeskripsikan proses peningkatan kemampuan menyimak dan mendeskripsikan faktor pendukung dan penghambat proses menyimak mahasiswa melalui metode parafrase. Jenis penelitian yang digunakan adalah peneltian tindakan kelas dengan pendekatan kualitatif dan menggunakan metode deskriptif. Data penelitian berupa hasil tes unjuk kerja tertulis, hasil lembar observasi, catatan lapangan, wawancara, dan angket mahasiswa terhadap pembelajaran menyimak melalui pemaham Metode parafrase mahasiswa program studi s-I Kebidanan universitas aufa royhan tahun pelajaran 2022-2023 yang berjumlah 30 orang. Prosedur penelitian dilaksanakan dalam dua siklus pembelajaran, yang pelaksanaanya dalam empat kali pertemuan dan berkolaborasi dengan dosen bahasa Indonesia di kampus yang sama. Temuan penelitian menunjukkan bahwa pemahaman terhadap Metode parafrase dapat meningkatkan kemampuan Kemampuan menyimak mahasiswa. Berdasarkan penelitian yang sudah dilakukan diperoleh hasil sebagai berikut. Pada siklus I, rata-rata hasil kemampuan menyimak mahasiswa adalah 71,50. Permasalahan yang terjadi pada siklus I ini adalah, (1) mahasiswa masih belum mampu menyimak materi dengan baik, (2) mahasiswa masih belum mampu mengungkapkan kembali materi yang disimaknya, (3) mahasiswa masih belum mampu membuat menjelaskan hasil simakannyanya, dan (4) mahasiswa masih belum percaya diri dalam bersosialisasi dalam lingkungan sekitarnya. Pada siklus II, rata-rata hasil kemampuan menyimak mahasiswa  meningkat, yaitu 80,70. Perubahan tingkah laku yang tampak dalam pembelajaran Kemampuan menyimak rnelalui pemahaman Metode parafrase yaitu mahasiswa merasa senang, lebih bersemangat, aktif dan mandiri dalam melaksanakan tugasnya, mahasiswa juga lebih memahami materi simakan melalui Metode parafrase tersebut.
A new non-linearity correction method for the spectrum from the Geostationary Inferometric Infrared Sounder on board Fengyun-4 satellites and its preliminary assessments
Authors: Guo Qiang , Liu Yuning , Wang Xin , Hui Wen
Published: August 2024

Abstract. Non-linearity (NL) correction is a critical procedure to guarantee that the calibration accuracy of a spaceborne sensor approaches a reasonable level (i.e., better than 0.5 K). Unfortunately, such an NL correction is still not used in spectrum calibration from the Geostationary Interferometric InfraRed Sounder (GIIRS) onboard the Fengyun-4A (FY-4A) satellite. Different from the classical NL correction method where the NL coefficient is estimated from out-band spectral artifacts in an empirical low-frequency region, originally with prelaunch results and updated under in-orbit conditions, a new NL correction method for a spaceborne Fourier transform spectrometer (including GIIRS) is proposed. In particular, the NL parameter μ, independent of different working conditions (namely the thermal fields from environmental components), can be determined from laboratory results before launch and directly utilized during in-orbit calibration. Moreover, to overcome the inaccurate linear coefficient from the two-point calibration that influences the NL correction, an iteration algorithm is established to make both the linear and the NL coefficients converge to their stable values, with relative errors less than 0.5 % and 1 %, respectively, which is universally suitable for NL correction of both infrared and microwave sensors. Using the onboard internal blackbody (BB), which is identical to the in-orbit calibration, the final calibration accuracy for all the detectors and all the channels with the proposed NL correction method is validated to be around 0.2–0.3 K at an ordinary reference temperature of 305 K. Significantly, the relative error in the classical method NL parameter immediately transmitting to that of the linear one in theory, which inevitably introduces some additional errors around 0.1–0.2 K for the interfering radiance no longer exists. Moreover, the adopted internal BB with higher emissivity produces better NL correction performance in practice. The proposed NL correction method is scheduled for GIIRS implementation on board the FY-4A satellite and its successor after modifying their possible spectral response function variations.
Multi-decadal atmospheric carbon dioxide measurements in Hungary, central Europe
Authors: Haszpra László
Published: August 2024

Abstract. The paper reviews and evaluates a 30-year-long atmospheric CO2 data series measured at the Hegyhátsál tall-tower greenhouse gas monitoring site, a member of the World Meteorological Organization (WMO) Global Atmosphere Watch (GAW), US National Oceanic and Atmospheric Administration (NOAA), and pan-European Integrated Carbon Observation System (ICOS) networks. The paper also gives the technical description of the monitoring system and its changes over time and introduces the environment of the station. This low-elevation (248 m above mean sea level – m a.m.s.l.), mid-continental central European site shows a 3.90 ± 0.83 µmol mol−1 offset relative to the latitudinally representative marine boundary layer reference concentration, presumably due to European net anthropogenic emissions. The long-term trend (2.20 µmolmol-1yr-1) closely follows the global tendencies. In the concentration growth rate, the ENSO effect is clearly detectable with a 6–7-month lag time. The summer diurnal concentration amplitude is slightly decreasing due to the faster-than-average increase in the nighttime concentrations, which is related to the warming climate. The warming climate also caused a 0.96 ± 0.41 d yr−1 advance at the beginning of the summer CO2-deficit season in the first half of the measurement period, which did not continue later. The summer CO2-deficit season was extended by 9.0 ± 6.1 d during the measurement period.
Airborne in-situ quantification of methane emissions from oil and gas production in Romania
Authors: Maazallahi Hossein , Stavropoulou Foteini , Sutanto Samuel Jonson , Steiner Michael , Brunner Dominik , Mertens Mariano , Jöckel Patrick , Visschedijk Antoon , Denier van der Gon Hugo , Dellaert Stijn , Velandia Salinas Nataly , Schwietzke Stefan , Zavala-Araiza Daniel , Ghemulet Sorin , Pana Alexandru , Ardelean Magdalena , Corbu Marius , Calcan Andreea , Conley Stephen A. , Smith Mackenzie L. , Röckmann Thomas
Published: August 2024

Abstract. Production of oil and gas in Romania, one of the largest producers in the EU, is associated with substantial emissions of methane to the atmosphere and may offer high emission mitigation potential to reach the climate objectives of the EU. However, comprehensive quantification of emissions in this area has been lacking. Here we report top-down emission rate estimates derived from aircraft-based in-situ measurements that were carried out with two aircraft during the ROMEO 2019 campaign, supported by simulations with atmospheric models. Estimates from mass balance flights at individual dense production clusters, and around larger regions, show large variations between the clusters, supporting the important role of individual super emitters, and possibly variable operation practices or maintenance state across the production basin. Estimated annual total emissions from the Southern Romanian O&G infrastructure are 227 ± 86 kt CH4 yr-1, consistent with previously published estimates from ground-based site-level measurements during the same period. The comparison of individual plumes between measurements and atmospheric model simulations was complicated by unfavorable low wind conditions. Similar correlations between measured and simulated CH4 enhancements during large-scale raster flights and mass balance flights suggest that the emission factor determined from a limited number of production clusters is representative for the larger regions. We conclude that ground-based and aerial emission rate estimates derived from the ROMEO campaign agree well, and the aircraft observations support the previously suggested large under-reporting of CH4 emissions from the Romanian O&G industry in 2019 to UNFCCC.
Urban Area Observing System (UAOS) Simulation Experiment Using DQ-1 Total Column Concentration Observations
Authors: Yi Jinchun , Huang Yiyang , Pei Zhipeng , Han Ge
Published: August 2024

Abstract. Satellite observations of the total column dry-air CO2 (XCO2) have been proven to support the monitoring and constraining of fossil fuel CO2 (ffCO2) emissions at the urban scale. We utilized the XCO2 retrieval data from China’s first laser carbon satellite dedicated to comprehensive atmospheric environmental monitoring, DQ-1, in conjunction with a high-resolution transport model and a Bayesian inversion system, to establish a system for quantifying and detecting CO2 emissions in urban areas. Additionally, we quantified the impact of uncertainties from satellite measurements, transport models, and biospheric fluxes on emission inversions. To address uncertainties from the transport model, we introduced random wind direction and speed errors to the ffCO2 plumes and conducted 104 simulations to obtain the error distribution. In our pseudo-data experiments, ODIAC overestimated fossil fuel emissions for Beijing and Riyadh, while underestimating emissions for Cairo. Specifically, we simulated Beijing and leveraged DQ-1’s active remote sensing capabilities, utilizing its rapid day-night revisit ability. We assessed the impact of daily biospheric fluxes on ffXCO2 enhancements and further analyzed the diurnal variations of biospheric flux impacts on local XCO2 enhancements using three-hourly average NEE data. The results indicate that a significant proportion of local XCO2 enhancements are notably influenced by biospheric CO2 variations, potentially leading to substantial biases in ffCO2 emission estimates. Moreover, considering biospheric flux variations separately under day and night conditions can improve simulation accuracy by 20–70 %. With appropriate representations of uncertainty components and a sufficient number of satellite tracks, our constructed system can be used to quantify and constrain urban ffCO2 emissions effectively.
Tuning a Climate Model with Machine-learning based Emulators and History Matching
Authors: Bonnet Pauline , Pastori Lorenzo , Schwabe Mierk , Giorgetta Marco A. , Iglesias-Suarez Fernando , Eyring Veronika
Published: August 2024

Abstract. In climate model development, tuning refers to the important process of adjusting uncertain free parameters of subgrid-scale parameterizations to best match a set of Earth observations such as global radiation balance or global cloud cover. This is traditionally a computationally expensive step as it requires a large number of climate model simulations to create a Perturbed Parameter Ensemble (PPE), which is increasingly challenging with increasing spatial resolution and complexity of climate models. In addition, this manual tuning relies strongly on expert knowledge and is thus not independently reproducible. Here, we develop a Machine Learning (ML)-based tuning method with the goal to reduce subjectivity and computational demands. This method consists of three steps: (1) creating a PPE of limited size with randomly selected parameters, (2) fitting an ML-based emulator to the PPE and generate a large PPE with the emulator, and (3) shrinking the parameter space with history matching. We apply this method to the Icosahedral Nonhydrostatic Weather and Climate Model (ICON) for the atmosphere to tune for global radiative and cloud properties. With one iteration of this method, we achieve a model configuration yielding a global top-of-atmosphere net radiation budget in the range of [0,1] W/m2, and global radiation metrics and water vapor path consistent with the reference observations. Furthermore, the resulting ML-based emulator allows to identify the parameters that most impact the outputs that we target with tuning. The parameters that we identified as mostly influential for the physics output metrics are the critical relative humidity in the upper troposphere and the coefficient conversion from cloud water to rain, influencing the radiation metrics and global cloud cover, together with the coefficient of sedimentation velocity of cloud ice, having a strong non-linear influence on all the physics metrics. The existence of non-linear effects further motivates the use of ML-based approaches for parameter tuning in climate models.
Gap-Filling for Daily Evapotranspiration Observations with full-factorial method at Global Flux Sites
Authors: Wang Xiaowei , Tang Fujiao , Jiang Yazhen , Lou Yunsheng
Published: August 2024

Abstract. Evapotranspiration (ET) plays a crucial role in the regional water-energy cycle, illustrating intricate interactions among climate, vegetation and soil. Eddy covariance (EC) technology is a primary method for measuring ET. However, incomplete data due to adverse weather conditions and equipment malfunctions are common. This study utilizes the full-factorial method to address the ET gaps at 339 sites across multiple global flux networks, and the filled ET data are compared with three ET products: the Land component of the Fifth Generation of European Reanalysis (EAR5-Land), Global Land Evaporation Amsterdam Model (GLEAM), and Breathing Earth System Simulator (BESS). Results indicate high consistency between filled ET data and three ET products at 264 out of 339 sites. The absolute average mean error (|MAE|) and root mean system error (|RMSE|) are 0.32 mm/d and 0.92 mm/d, respectively. Among the remaining 75 sites, 49 sites exhibit better agreement between filled ET and measured ET data than ET products in terms of seasonal variations and numerical ranges. Further verification is needed for the reliability of filled ET data at the other 26 sites due to a scarcity of measured ET data. Overall, the gap-filled ET data from 313 sites (2210 site-years) demonstrate high-quality. These sites exhibit a strong correlation between available energy and turbulent fluxes, with R2, MAE, and RMSE for different surface types ranging from 0.84 to 0.94, 21.49 to 28.67 W/m2, and 28.37 to 36.91 W/m2, respectively. And the average energy balance closure rate is 0.73, indicating a relatively high degree of closure in the energy balance. These 313 sites with high-quality filled ET data can be utilized for ET model validation, ET product verification, water demand assessment, and other related tasks. The filled ET dataset can be publicly accessed at https://doi.org/10.57760/sciencedb.11651 (Wang & Jiang, 2024).
Virtual joint field campaign: a framework of synthetic landscapes to assess multiscale measurement methods of water storage
Authors: Francke Till , Brogi Cosimo , Duarte Rocha Alby , Förster Michael , Heistermann Maik , Köhli Markus , Rasche Daniel , Reich Marvin , Schattan Paul , Scheiffele Lena , Schrön Martin
Published: August 2024

Abstract. The major challenge of multiscale measurement methods beyond the point scale is their complex interpretation in the light of landscape heterogeneity. For example, methods like cosmic-ray neutron sensing, remote sensing, or hydrogravimetry are all able to provide an integral value on the water storage, representative for their individual measurement volume. A rigorous assessment of their performance is often hindered by the lack of knowledge about the truth at their corresponding scale, given the high complexity and detail of natural landscapes. In this study we suggest a synthetic virtual landscape that allows for an exact definition of all variables of interest and, consequently, constitutes the so-called "virtual truth" free of knowledge gaps. Such a landscape can be explored in various "virtual field campaigns" using "virtual sensors" that mimic the response and characteristics of actual devices. We use dedicated physically-based models to simulate the signal a sensor would receive. These model outputs termed "virtual observations" can be explored and also allow the reconstruction of water storage, which can then readily be compared to the "virtual truth". Insights from this comparison could help to better understand real measurements and their uncertainties, and to challenge accepted knowledge about signal processing and data interpretation. The "Virtual Joint Field Campaign" is an open collaborative framework for constructing such landscapes. It comprises data and methods to create and combine different compartments of the landscape (e.g. atmosphere, soil, vegetation). The present study demonstrates virtual observations with Cosmic Ray Neutron Sensing, Hydrogravimetry, and Remote Sensing in three exemplary landscapes. It enables unprecedented opportunities for the systematic assessment of the sensor’s strengths and weaknesses and even their combined use.
Negative Differential Resistance, Instability, and Critical Transition in Lightning Leader
Authors: Gou Xueqiang , Xin Chao , Xu Liwen , Yuan Ping , Zhang Yijun , Cheng Mingli
Published: August 2024

Abstract. The phenomena of leader extinction and restrike during lightning events, such as multiple strokes in ground flashes or recoil leaders in cloud flashes, present significant challenges. A key aspect of this issue involves the discussion of the channel’s negative differential resistance and its instability. From the perspective of bifurcation theory in nonlinear dynamics, this paper posits an inherent consistency among the channel’s negative differential resistance, channel instability, and the critical transition from insulation to conduction. This study examines the differential resistance characteristics of the leader-streamer system in lightning development. We correlate the differential resistance characteristics of the leader-streamer channel with the channel’s state and instability transitions, investigating the critical current and potential difference conditions required for the stable transition of the leader-streamer channel.
Interseismic and long-term deformation of southeastern Sicily driven by the Ionian slab roll-back
Authors: Viger Amélie , Dominguez Stéphane , Mazzotti Stéphane , Peyret Michel , Henriquet Maxime , Barreca Giovanni , Monaco Carmelo , Damon Adrien
Published: August 2024

Abstract. New satellite geodetic data challenge our knowledge of the deformation mechanisms driving the active deformations affecting southeastern Sicily. The PS-InSAR (Permanent Scatterer Interferometry Synthetic Aperture Radar) measurements evidence a generalized subsidence and an eastward tilting of the Hyblean Plateau, combined with a local relative uplift along its eastern coast. To find a mechanical explanation for the present-day strain field, we investigate short- and large-scale surface-to-crustal deformation processes. Geological and geophysical data suggest that the southward migration of the Calabrian subduction could be the causative geodynamic process. We evaluate this hypothesis using flexural modeling and show that the combined downward pull force, induced by the Ionian slab roll-back and the overloading of the Calabrian accretionary prism, is strong enough to flex the adjacent Hyblean continental domain, explaining the measured large-scale subsidence and eastward bending of the Hyblean Plateau. To explain the short-scale relative uplift evidenced along the eastern coast, we perform elastic modeling on identified or inferred onshore and offshore normal faults. We also investigate the potential effects of other deformation processes, including upwelling mantle flow, volcanic deflation, and hydrologic loading. Our results enable us to propose an original seismic cycle model for southeastern Sicily, linking the current interseismic strain field with available long-term deformation data. This model is mainly driven by the southward migration of the Ionian slab roll-back which induces a downward force capable of flexuring the Hyblean crust.
Spatial variation in the specific surface area of surface snow measured along the traverse route from the coast to Dome Fuji, Antarctica, during austral summer
Authors: Inoue Ryo , Aoki Teruo , Fujita Shuji , Tsutaki Shun , Motoyama Hideaki , Nakazawa Fumio , Kawamura Kenji
Published: August 2024

Abstract. To better understand the surface properties of the Antarctic ice sheet, we measured the specific surface area (SSA) of surface snow during two round-trip traverses between a coastal base near Syowa Station, located 15 km inland from the nearest coast, and Dome Fuji, located 1066 km inland, in East Antarctica from November 2021 to January 2022. Using a handheld integrating sphere snow grain sizer (HISSGraS), which directly measures the snow surface without sampling, we collected 215 sets of SSA data, with each set comprising measurements from 10 surfaces along a 20 m transect. The measured SSA shows no elevation or temperature dependence between 15 and 500 km from the coast (elevation: 615–3000 m), with a mean and standard deviation of 25 ± 9 m2 kg−1. Beyond this range, SSA increases toward the interior, reaching 45 ± 11 m2 kg−1 between 800 and 1066 km from the coast (3600–3800 m). SSA shows significant variability depending on surface morphologies and meteorological events. For example, (i) glazed surfaces formed by an accumulation hiatus in katabatic wind areas show low SSA (19 ± 4 m2 kg−1), decreasing the mean SSA and increasing SSA variability. (ii) Freshly deposited snow shows high SSA (60–110 m2 kg−1), but the snow deposition is inhibited by snow drifting at wind speeds above 5 m s−1. Our analyses clarified that temperature-dependent snow metamorphism, snowfall frequency, and wind-driven inhibition of snow deposition play crucial roles in the spatial variation of surface snow SSA in the Antarctic inland. The extensive dataset will enable the validation of satellite-derived and model-simulated SSA variations across Antarctica.
Snow redistribution in an intermediate-complexity snow hydrology modelling framework
Authors: Quéno Louis , Mott Rebecca , Morin Paul , Cluzet Bertrand , Mazzotti Giulia , Jonas Tobias
Published: August 2024

Abstract. Snow hydrological regimes in mountainous catchments are strongly influenced by snowpack heterogeneity resulting from wind- and gravity-induced redistribution processes, requiring them to be modelled at hectometre and finer resolutions. This study presents a novel modelling approach to address this issue, aiming at an intermediate-complexity solution to best represent these processes while maintaining operationally viable computational times. To this end, the physics-based snowpack model FSM2oshd was complemented by integrating the modules SnowTran-3D and SnowSlide to represent wind- and gravity-driven redistribution, respectively. This new modelling framework was further enhanced by implementing a density-dependent layering to account for erodible snow without the need to resolve microstructural properties. Seasonal simulations were performed over a 1180 km2 mountain range in the Swiss Alps at 25, 50 and 100 m resolution, using appropriate downscaling and snow data assimilation techniques to provide accurate meteorological forcing. In particular, wind fields were dynamically downscaled using WindNinja to better reflect topographically induced flow patterns. The model results were assessed using snow depths from airborne lidar measurements. We found a remarkable improvement in the representation of snow accumulation and erosion areas, with major contributions from saltation and suspension as well as avalanches and with modest contributions from snowdrift sublimation. The aggregated snow depth distribution curve, key to snowmelt dynamics, significantly and consistently matched the measured distribution better than reference simulations from the peak of winter to the end of the melt season, with improvements at all spatial resolutions. This outcome is promising for a better representation of snow hydrological processes within an operational framework.
Tropical cyclone asymmetric eyewall evolution and intensification in a two-layer model
Authors: Cha Ting-Yu , Bell Michael M.
Published: August 2024

Abstract. Radar and satellite imagery of numerous intensifying tropical cyclones (TCs) depict an appearance of a polygonal eyewall structure where deep convection is often located near the polygonal vertices. A recent observational study of Hurricane Michael's (2018) polygonal eyewall evolution suggests that the vorticity asymmetries are coupled with the reflectivity asymmetries during rapid intensification. Conceptual theory of a polygonal eyewall structure has been linked to vortex Rossby waves (VRWs) and the breakdown of an enhanced potential vorticity (PV) ring, but how the asymmetries affect TC intensification remains unclear. Non-divergent barotropic models have previously been employed to study polygonal eyewall dynamics, but this approach has limitations due to the importance of diabatic heating to PV generation and the intensification process. Results from prior studies motivate us to explore the nature of the relationship between asymmetric vorticity and vertical velocity in the free atmosphere and the boundary layer and their compound impacts on the TC intensification process. Here we use a simple two-layer model framework with a shallow-water model on top of a slab boundary layer (SBL) model to simulate a frictional boundary layer underneath the free atmosphere. Results from simulating a wavenumber 2 elliptical asymmetry suggest the VRW in the free atmosphere can organize the updrafts in the SBL, which is consistent with radar observations of enhanced reflectivity at the polygonal vertices. Free atmospheric divergence in the shallow-water layer does not explain the coupling between vorticity and reflectivity. The coupling can be explained to first order by the one-way boundary layer response to the pressure gradient associated with the free atmospheric vorticity asymmetries, consistent with prior studies. Further simulations that allow two-way interaction between the layers show that the organization of the updrafts out of the SBL plays a critical role in the growth of a PV ring and intensification of the mean vortex. In this framework, diabatic heating in the shallow-water layer parameterized by a mass sink driven by the free atmosphere–SBL interaction leads to rapid intensification of the vortex, thinning of the PV ring, and eventual barotropic instability and PV mixing. The simplified modeling framework with two-way interactions captures many of the essential dynamics of rapid intensification in the presence of evolving asymmetries, similar to those seen in the observations from Hurricane Michael (2018), which provides new insight into the complex interactions between dynamics and convection during hurricane intensification.
A relação entre governança corporativa, administradores e responsabilidade civil nas sociedades anônimas e o caso dos derivativos da Sadia
Authors: Marson Schuch Santos Felipe
Published: August 2024

This article intends to analyze the consequences of the separation between ownership and management in corporations, from the perspective of the agency conflict that is formed between owners and managers, and how the Brazilian legal system deals with this issue. It aims to understand the relationship of the board of directors with corporate governance and its importance in the organic structure of companies. It also aims to analyze how the Corporate Law influences the management of companies. It also aims to analyze how the Corporate Law influences the management of companies with the regulation of the duties of directors and their civil liability. Finally, the article studies the case of Sadia and the implications that occurred with its managers in the case of operations with toxic derivatives.
Impacts of digital social media detox for mental health: A systematic review and meta-analysis
Authors: Ramadhan Roy N. , Rampengan Derren D. , Yumnanisha Defin A. , Setiono Sabrina BV. , Tjandra Kevin C. , Ariyanto Melissa V. , Idrisov Bulat , Empitu Maulana
Published: August 2024

The impact of social media has been significant on various aspects of life, particularly mental health. Growing concerns about the adverse effects of social media use have prompted the exploration of experimental interventions, defined as digital detox interventions. However, it remains unclear whether digital detox interventions are effective for mental health outcomes. The aim of this study was to provide comprehensive insights into the effects of digital detox interventions on various mental health outcomes, including depression, life satisfaction, stress, and mental well-being. Following the PRISMA guidelines, systematic searches were carried out in online databases, including PubMed and ScienceDirect, within the publication range of 2013 and 2023. A total of 2578 titles and abstracts were screened, and 10 studies were included in the analysis. A risk of bias assessment was conducted using RoB 2.0 and the Newcastle-Ottawa scale, while statistical analysis was conducted using RevMan 5.4.1. Our data indicated a significant effect of digital detox in mitigating depression with the standardized mean difference (SMD: -0.29; 95%CI: -0.51, -0.07, p=0.01). No statistically significant effects were discerned in terms of life satisfaction (SMD: 0.20; 95%CI: -0.12, 0.52, p=0.23), stress (SMD: -0.31; 95%CI: -0.83, 0.21, p=0.24), and overall mental well-being (SMD: 0.04; 95%CI: -0.54, 0.62, p=0.90). These data underscore the nuanced and selective influence of digital detox on distinct facets of mental health. In conclusion, digital detox interventions significantly reduce depressive symptoms, suggesting that intentional reduction or cessation of digital engagement may help alleviate contributing factors. However, no statistically significant effects were observed in mental well-being, life satisfaction, and stress. This discrepancy may be due to the complex nature of these constructs, involving various factors beyond the scope of digital detox interventions.
Interpreting Friendship in Antoine de Saint-Exupéry’s The Little Prince
Authors:   Pázmány Péter Catholic University, Szalay Mátyás
Published: August 2024

I read Saint-Exupéry's famous work with a child's spirit while also with a philosophical approach to the concept of friendship. I start with exploring the prerequisites for meeting friends: a deep desire to know reality and a fundamental attitude that can be described as an "open existence". Concerning both spiritual conditions it is relevant that solitude is a formative force which leads one, step by step, to the realisation that one is not alone: in the depths of one's soul one is in communion with divine reality. The realisation of this is a dramatic event in every degree. I approach this drama phenomenologically, by distinguishing between the phenomena of original aloneness, abandonment, loneliness and solitude. Each form of being alone can be contrasted with a form of companionship. We can contrast alonness with the still superficial and momentary companionship, what goes along with abandonment is a certain type of friendship, while through going to the depth of loneliness we find more than this, companionship or spiritual friendship. Finally, it is solitude that illuminates togetherness. In making these distinctions, the paradox is grasped: this latter "being alone" of the soul reveals and introduces us into the most intimate "togetherness" with the inner Self. It is through this gradual deepening of this experience that we discover the essential features of friendship. In so far as friendship is a contemplative communion participating in the Good, which entails the acquisition of virtues and thus the transfiguration of the person, the good friend is a committed philosopher.
ІННОВАЦІЙНІ НАПРЯМИ ПУБЛІЧНОГО УПРАВЛІННЯ СИСТЕМОЮ ВИЩОЇ ОСВІТИ В ПЕРІОД ВОЄННОГО СТАНУ
Authors: Вавренюк С.А.
Published: August 2024

Дана стаття присвячена аналізу інноваційних напрямів публічного управління системою вищої освіти в період воєнного стану. Розглянуті методи та технології спрямовані на оптимізацію управління навчальним процесом та підвищення якості освіти в умовах кризових ситуацій. Детально проаналізовано використання сучасних технологій, включаючи дистанційне навчання, мобільні додатки, віртуальну та розширену реальність, електронні платформи та аналітичні інструменти, у контексті підтримки безпеки та неперервності навчання під час воєнного стану. Аналіз та рекомендації, наведені у статті, мають на меті сприяти впровадженню ефективних стратегій та підходів для забезпечення стійкості та якості освіти в умовах воєнного стану.
Автор приходить до висновку, що інноваційні підходи у публічному управлінні системою вищої освіти в період воєнного стану можуть виявитися дієвими та необхідними для забезпечення стійкості та неперервності освітнього процесу. Застосування новітніх технологій та методів управління допоможе вирішити ряд проблем, пов'язаних із воєнним станом, забезпечивши доступ до освіти та підвищити ефективність її надання. Такі підходи є важливими для підтримки розвитку освіти в умовах кризових ситуацій та забезпечення сталого функціонування системи вищої освіти у будь-яких умовах.
Застосування інноваційних напрямів публічного управління системою вищої освіти в період воєнного стану є запорукою конкурентоспроможності закладів вищої освіти як вітчизняних так і зарубіжних.
ОСНОВНІ НАПРЯМИ ВДОСКОНАЛЕННЯ ДЕРЖАВНОЇ МОЛОДІЖНОЇ ПОЛІТИКИ В УКРАЇНІ
Authors: Сабій Ю.С.
Published: August 2024

У статті розглядаються ключові аспекти державної молодіжної політики, такі як освіта, зайнятість, соціальний захист, участь молоді в політичному житті та міжнародне співробітництво. Основна увага приділяється аналізу наявних проблем і пропозиції рекомендацій щодо їх подолання. Автор прагне виявити ключові напрями, що дадуть змогу покращити ефективність державної молодіжної політики, зробити її гнучкішою та адаптивною до сучасних викликів, а також посилити її вплив на процес становлення та розвитку молоді як активних і відповідальних громадян України. У результаті автором пропонуються конкретні рекомендації щодо поліпшення державної молодіжної політики в Україні, спрямовані на створення сприятливих умов для розвитку молоді та зміцнення її ролі в суспільстві.
Gestión de Empresas de Tenis en Tiempos de Crisis: Como Navegar en el Temporal sin Perecer en el Intento
Authors: Ávila Francisco , Sanz David
Published: August 2024

En el presente artículo se exponen una serie de medidas para controlar la situación en la que muchos clubes de tenis y empresas de servicios deportivos de tenis se encuentran, debido a la situación de crisis mundial que, en mayor o menor medida, afecta a todos los estamentos de la sociedad. Describiremos algunas líneas de actuación aplicadas a mejorar la posición económica y $ nanciera de los clubes de tenis.
A Study to assess the Prevalence of Malnutrition among school going children in selected schools of Changsari, Kamrup (R), Assam
Authors: Das Arpana , Islam Farhin , Buragohain Dikshita , Kurmi Roshmi
Published: August 2024

Background of The Study: Nutritional status is an important indicator to measure children quality of life. Malnutrition is the main global health problem of children which affects large number of children in developing countries and atleast half of all childhood death and one third of child death are due to under-nutrition only. Objectives: To assess the prevalence of malnutrition andfind the association of malnutrition with selected demographic variables among school going children in selected schools of Changsari, Kamrup (R), Assam. Methodology: A non-experimental quantitative research approach was adopted. The data was collected from selected schools of Changsari, Kamrup (R) Assam using non-probability convenient sampling technique among 120 school going children based on the inclusion criteria. Dataanalysis was done using both descriptive and inferential statistics. Result: Prevalence of malnutrition was found to be 21.96%. Significant association was found only between class, number of siblings, consuming evening snacks, number of meals per day and source of drinking water with malnutrition. Conclusion: The prevalence of malnutrition among school going children in selected schools of Changsari, Kamrup (R), Assam was mild. Primary care giver needs to implement strategies to educate the mothers of school going children regarding proper nutritious and balanced diet thereby reducing the mortality and morbidity due to malnutrition.
Pediatric Obesity: Nursing Strategies for Prevention
Authors: Leelavathi Annamreddi , Mathew Binu
Published: August 2024

Pediatric obesity has emerged as a critical public health concern, with far-reaching implications for the well-being of children and adolescents. This article explores evidence-based nursing strategies aimed at the prevention of pediatric obesity. The comprehensive review delves into the multifaceted nature of this issue, considering socio-economic factors, cultural influences, and lifestyle choices that contribute to the rising prevalence of childhood obesity. The nursing interventions proposed encompass a holistic approach, emphasizing early intervention, family involvement, and community engagement. Practical strategies, such as nutritional education, promoting physical activity, and fostering healthy habits, form the core of the preventive measures discussed. The role of nurses as advocates for policy changes at both institutional and societal levels is also explored. By addressing the complexities surrounding pediatric obesity through targeted nursing strategies, this article seeks to empower healthcare professionals to play a pivotal role in stemming the tide of this growing health crisis and fostering a healthier future for our younger generations.
An Experimental Study to Assess the Effectiveness of Planned Teaching Programme regarding Hospital Waste Management on Knowledge of B.Sc. Nursing 3rd Year students studying in Nishad College of Nursing and Allied Science, Satna (M.P.)
Authors: Benny Bincy , Kushwaha Jyoti , Singh Jyoti , Singh Kajal , Singh Khushboo , Singh Kiran
Published: August 2024

A planned teaching program was carried out to assess the B.Sc nursing 3rd year student of selected college of nursing Satna (M.P.). To evaluate knowledge regarding biomedical waste management. The sample consist of 40 B.Sc nursing 3rd year student in Nishad College of Nursing and Allied Science Satna (M.P.). The objectives were achieved through the findings .The finding showed the demographic variable has a significant description of pre-test score average 34(85%), good 6(15%), excellent 0(0%) and post test knowledge score average 0 (0%), good 15(38%), excellent 25(62%) regarding biomedical waste management among B.Scnursing 3rd year student.The knowledge score were obtained pre test knowledge score mean is 21.07 and standard deviation 3.08 and post test knowledge score mean is 30.65 and standard deviation 2.96 shows gaining of knowledge by planned teaching program. It was summarized after study finding the socio demographic variable greatly affect the knowledge of B.Sc nursing 3rdyear student regarding biomedicalwaste management.
Recurrent High-Grade Glioma: Multiple Surgeries and Reirradiation
Authors:   1 Department of Oncology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
2 Institute of Oncology “Prof Dr. Ion Chiricuță“, Cluj-Napoca, Romania, Homorozeanu Bianca , Zaha Miruna ,   „Iuliu Hațieganu University of Medicine and Pharmacy”, Cluj-Napoca, Romania, Sur Daniel ,   1 Department of Oncology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
2 Institute of Oncology “Prof Dr. Ion Chiricuță“, Cluj-Napoca, Romania, Fekete Zsolt ,   1 Department of Oncology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
2 Institute of Oncology “Prof Dr. Ion Chiricuță“, Cluj-Napoca, Romania
Published: August 2024

Gliomas, representing the most common primary brain tumors, derive from cells resembling the CNS's normal glial components—astrocytes, oligodendrocytes, and ependymal cells. Notably, these tumors vary significantly in their biological aggressiveness. In this context, we explore the challenging journey of a 47-year-old man first diagnosed in 2007 with a grade III anaplastic oligoastrocytoma located in the frontal region. Initial treatment involved surgical resection, but unfortunately the tumor recurred locally four years later. A second surgery achieved complete removal, but histopathological findings confirmed the continued presence of grade III oligoastrocytoma. Following surgery, the patient received two cycles of adjuvant temozolomide chemotherapy. Considering the aggressive nature of the tumor, his age, and existing comorbidities, a combined approach of radiochemotherapy was subsequently adopted, followed by additional adjuvant chemotherapy. However, in 2023, he faced another setback—a second relapse. Subsequent surgical and histopathological evaluations disclosed a progression to grade IV astrocytoma. Postoperative treatment included six weeks of intensive concurrent radiochemotherapy. After completing this phase, he proceeded with ongoing chemotherapy, complemented by regular monitoring through serial brain MRIs. This case underscores the complexity and dynamism of glioma management and illustrates the critical need for tailored therapeutic strategies.
Analysis of machine learning techniques in detecting and preventing e-commerce fraud effectively
Authors: Courage Idemudia  , Edith Ebele Agu  , Shadrack Obeng
Published: August 2024

E-commerce fraud poses significant challenges to businesses and consumers, necessitating advanced detection and prevention methods. This paper provides a comprehensive analysis of the current landscape of e-commerce fraud and the application of machine learning techniques in combating it. We explore the types of e-commerce fraud, their impact, and traditional detection methods. The efficacy of various machine learning models, including supervised and unsupervised learning techniques, hybrid approaches, and ensemble methods, is evaluated based on accuracy, precision, recall, and F1 score. The paper discusses emerging trends such as AI, behavioral biometrics, and blockchain technology, along with potential advancements in machine learning techniques like deep learning, reinforcement learning, and federated learning. Ethical considerations and data privacy issues are highlighted, emphasizing the need for responsible use of these technologies. The findings demonstrate the significant role of machine learning in enhancing e-commerce fraud detection and prevention, underscoring the importance of continuous innovation and ethical practices.
Roman Domination in Mycielski Graphs: A Study of Some Graphs and a Heuristic Algorithm
Authors: Dogan Durgun Derya , Toprakkaya Emre Niyazi
Published: August 2024

Let G=(V,E) be a graph. A function f:V→\{0,1,2\}, if ∀u for which f(u)=0 is adjacent to ∃v for which f(v)=2, is called a Roman dominating function, and called in short terms RDF. The weight of an RDF f is f(V)=∑_(v∈V)▒f(v) . The Roman domination number of a graph G, denoted by γ_R (G), is the minimum weight of an RDF on G. This paper presents the results for Roman domination numbers of the Mycielski graphs obtained through Mycielski's construction of the comet, double comet, and comb graphs. An algorithm to determine the Roman domination number of any given graph is also provided.
POTENCIAL DA INTELIGÊNCIA COMPETITIVA NA INDÚSTRIA FLORESTAL
Authors: Santos Tamara Braga dos , Santos Glêison Augusto dos , Canal Guilherme Bravim
Published: August 2024

A inteligência competitiva (IC) é um processo de coleta e análise de informações estratégicas que permite compreender o mercado, identificar oportunidades e mitigar riscos, tornando-se assim uma prática fundamental para organizações tomarem decisões informadas e manterem vantagens competitivas. Apesar do potencial promissor na indústria florestal, seu uso ainda é limitado. Nesse sentido, o objetivo do presente trabalho é apresentar conceitos, técnicas e perspectivas da IC na indústria florestal. A implementação da IC no setor florestal ainda é incipiente, apesar de seu grande potencial em práticas como análise de mercado, monitoramento da concorrência, gestão de recursos naturais, inovação e tomada de decisão estratégica. Logo, o uso da IC já é uma realidade e é essencial para múltiplas organizações, proporcionando insights valiosos, otimizando processos e garantindo competitividade no mercado. No setor florestal, contudo, seu uso ainda é incipiente e deve ser objeto de atenção para aquelas empresas que desejam se manter competitivas no mercado.
SELEÇÃO DE PROGÊNIES HÍBRIDAS DE EUCALYPTUS TOLERANTES À SECA
Authors: Paixão Camila Ferreira , Canal Guilherme Bravim , Ferraz Alexandre Gomes , Cardoso Laura Soares , Silva Mariana Siqueira , Santos Gleison Augusto dos
Published: August 2024

Em 2015, uma seca severa atingiu diferentes regiões do Brasil que, teve como consequência, altas taxas de mortalidade de plantas de eucalipto em plantios comerciais, o que impulsionou programas de melhoramento de diversas empresas do setor florestal. Com o objetivo de desenvolver materiais genéticos tolerantes à seca, foram implantados testes de progênies híbridas de Eucalyptus, oriundas de cruzamentos controlados, em três sites com histórico de déficit hídrico. Os ensaios experimentais foram instalados nos municípios de Buritizeiro-MG, Inhambupe-BA e Bocaiúva-MG, compostos por 214, 224, e 204 progênies híbridas, respectivamente. Foram utilizados seis clones comerciais como testemunhas, sendo eles: GG1980, GG1923, GG2673, I144, VM01 e AEC1528. Os ensaios foram instalados em delineamento de blocos casualizados, em single tree plot, espaçamento de 9m² por árvore e 20 repetições. Aos 3,5 anos, foram mensuradas a altura e a circunferência a 1,30 metros do solo. Foram estimados o volume e o incremento médio anual (IMAvol) por indivíduo. Para a análise genética, foi utilizado o software Selegen e a variável para selecionar as melhores progênies em cada site foi o IMAvol. Foram selecionadas as 30 melhores famílias por site. Dentre as famílias selecionadas, foi possível notar que existe variabilidade genética passível de ser explorada e que diversos materiais apresentaram desempenho em produtividade muito similar as testemunhas superiores, como as progênies GG1883xGG4302 (E. urophylla)x(E. brassiana), em Buritizeiro; GG1883xGG2759 (E. urophylla)x(E. urophylla), em Bocaiúva e GG2759xGG3389 (E. urophylla)x(E. urophylla HE) em Inhambupe e elevada sobrevivência em campo, podendo ultrapassar os ganhos genéticos aos serem clonadas
importance of interoperability among different health information systems
Authors: Sawaji Majed Ali Al , Alanazi Saud Daham , Al-Rashudi Khaled Abdul Rahman Suleiman
Published: August 2024

Background: The absence of interoperability across health information systems diminishes the quality of patient treatment and squanders resources. Hence, it is essential to establish integration mechanisms among the different health information systems. Aim of Work – The objective of this research was to examine the interoperability prerequisites for diverse health information systems and to condense and present them. Methods – An extensive electronic search was performed on the issue using six databases, namely PubMed, Web of Science, Scopus, MEDLINE, Cochrane Library, and Embase, up to 2018. The inclusion criteria were to choose English-written papers that were accessible in full text and had aims that closely aligned with the study. A total of 36 articles were chosen for further examination. Results – The concept of interoperability has gained prominence in the realm of health information systems since 2003 and has been a subject of significant interest among academics. The efforts undertaken in this subject mostly focus on a nationwide scale and aim to accomplish the implementation of electronic health records. HL7 FHIR, CDA, HIPAA, SNOMED-CT, SOA, RIM, XML, API, JAVA, and SQL are crucial prerequisites for achieving interoperability.