bluuebunny/crossref_metadata_2025 huggingface dataset:
Hoax News Analysis for the Indonesian National Capital Relocation Public Policy with the Support Vector Machine and Random Forest Algorithms
Authors: Darmawan Aang Kisnu , Al Wajieh Mohammad Waail , Setyawan Mohammad Bhanu , Yandi Tri , Hoiriyah Hoiriyah
Published: March 2023

The decision of the Indonesian government to relocate the nation's capital outside Java to the North Penajam Paser Regency has sparked controversy and misinformation on social media platforms. While sentiment analysis studies have been conducted on this topic, no research has yet analyzed the issue of hoaxes related to the relocation of the national capital. This study aims to fill this gap by analyzing hoaxes related to the relocation of the Indonesian national capital on Twitter. The study utilizes data crawling, filtering with Hoax Booster Tools (HBT) ASE, data labeling, preprocessing, and TF-IDF weighting. The data is then classified using Support Vector Machine (SVM) and Random Forest (RF) algorithms, and the results of both algorithms are compared. The study found that 85% of tweets had a positive sentiment and 15% had a negative sentiment. Furthermore, the SVM algorithm outperformed the RF algorithm with an accuracy of 95.24% compared to 86.90%. This study contributes to the understanding of the hoax issues related to the relocation of the Indonesian state capital and provides recommendations for government policies to address community concerns.
Analysis and Design of Student Guidance Information System through Software Development Life Cycle (SDLC) dan Waterfall Model
Authors: Christanto Henoch Juli , Singgalen Yerik Afrianto
Published: March 2023

Universities play an essential role in encouraging digital literacy as a form of support to accelerate digital transformation in Indonesia. One of the strategic steps to support the acceleration of digital transformation is to carry out organizational change in the academic scope. One of the innovative ideas to facilitate the thesis registration process, selection of supervisors, and thesis consultation is the existence of an integrated and accountable control system. This research proposes an idea to analyze and design the Information System for Thesis Consultation Process known as SIBIMA using the Software Life Cycle Development (SDLC) method according to the Waterfall model. SIBIMA is intended to support services in the education sector by adjusting the context of the values of the Atma Jaya Catholic University of Indonesia, namely Kristiani, Unggul, Peduli, and Profesional. Thus, students, lecturers, and academic staff complement each other in improving the quality of education. The case study of application design is adjusted to the registration process, selection of supervisors, and thesis consultation at the Head of Tourism Department, Faculty of Business Administration and Communication Sciences, Atma Jaya Catholic University of Indonesia.
IoT and QRIS Payment System Integration in Entrepreneurship Lockers to Improve Culinary Business in Schools
Authors: Pamudji Andre Kurniawan , Nugroho Agus Cahyo , Harnadi Bernadinus , Chandrawati T Brenda , Nugroho Erdhi Widyarto , Prasetya FX Hendra , Widiantoro Albertus Dwiyoga , Sanjaya Ridwan
Published: March 2023

The Covid-19 pandemic has disrupted various activities, including the operation of school and campus canteens. In response, innovative solutions are needed to ensure the continuation of the culinary business while keeping all stakeholders safe during the pandemic. This study proposes the development of IoT-integrated entrepreneurial lockers that enable cashless payments through QRIS. These lockers can be used to revive the culinary business in school and campus canteens that had to close due to the pandemic. The results of the study show that the use of these lockers can reduce physical contact during transactions, thus minimizing the risk of virus transmission. Overall, this research offers a practical solution for sustaining the canteen business in the face of the pandemic.
Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) Method
Authors: Rahayu Kris , Prasetyaningrum Putri Taqwa
Published: March 2023

Diamond Cell is a specialized retailer that offers a diverse range of smartphone accessories, electronic credits, and internet vouchers from different providers, each with varying active periods. However, the uncertainty surrounding internet voucher sales transactions often leaves counter owners hesitant to increase their stock due to the short active period of the vouchers. This leads to frequent customer dissatisfaction as the internet vouchers run out, resulting in lost sales opportunities. To address this issue, this study aimed to predict voucher sales for the upcoming month to serve as a reference for calculating the stock of voucher supply. The Auto-regressive Integrated Moving Average (ARIMA) method was used based on voucher sales data from November 2022 to January 2023. Out of the three tentative models obtained, only one proved suitable for use. The best ARIMA model was the (2,1,0) model, with a MAD value of 29.65, an MSE value of 2409.95, and a MAPE value of 23.3%. Based on the February voucher sales, the stock level can remain the same as the previous period since the sales were stable. The findings of this study can help Diamond Cell counter owners make more informed decisions about stocking internet vouchers, resulting in better customer satisfaction and reduced likelihood of losses.
Energy Hub Planning and Operation Optimization by Applying Demand Side Management Using GAMS
Authors: Sehar Noor , Ahmad Aftab
Published: March 2023

Energy hub planning and optimization considering various constraints is an emerging domain of research due to the scarcity of conventional energy resources. Strategic integration of multi-energy sources is a dominant region of research as it provides better efficiency and cost savings. Various uncertainties due to the changing electric, heating, and cooling load demand are increasing the complexity of the system. The paper investigates the effectiveness of Demand Side Management (DSM) programs by analyzing the operation of domestic Energy Hub. The paper proposes two stages for optimal energy hub planning and operation optimization and GAMS mathematical modeling is used to deduce the results. The paper provides the analysis of a two-stage optimization model using the approach of modeling uncertainties and constraints. The process of energy hub designing has been carried out by the help of PSO algorithm by considering continuous capacities of various components of energy hub. The research regarding optimal energy hub operation is modelled in GAMS and the approach of mixed-integer non-linear programming (MINLP) has been used to evaluate the results. The framework provides the energy hub model and also provided the verification of model effectiveness and efficiency.
Skills Set Required for Web Developers in Pakistan
Authors: Raza Bilal , Fatima Nargis , Nazir Sumaira , Amin Basit
Published: March 2023

As the pool of potential employees for businesses throughout the world grows, the world is transforming into a global village. Pakistan is currently the 4th fastest-growing freelancing market in the world having growth rate 47%. The web development sector is essential to the economies of developing countries like Pakistan. In this study, the web development in Pakistan is surveyed to get statistical conclusions about the demand for particular job roles and skills set, required in the context of Pakistani web industry. This is accomplished by extracting and examining job listings from the most well-known job portals in Pakistan such as rozee.pk, mustakbil.com, and indeed. The study findings provide the present demand in the Pakistani web sector for web developers. For instance, expertise in Git, Firebug, Adobe photoshop, Adobe Illustrator, Figma, WordPress, Shopify, Magento, OOP, MVC, AJAX, SEO, MySql, MongoDB, are at highest rank. The conducted study will be beneficial for student counselling groups, job seekers, researchers, industry professionals, academic curriculum developers, government planners, and decision-makers.
PENINGKATAN HASIL BELAJAR MATEMATIKA MATERI DERET GEOMETRI MENGGUNAKAN METODE KOOPERATIF TIPE NUBERED HEAD TOGETHER (NHT)
Authors: SUMANDYA I WAYAN , RAHADI I WAYAN SELAMET
Published: March 2023

The purpose of this study is to find the right method in the learning process to show maximum student learning outcomes. The problems faced by students tend to be lacking in their learning outcomes in mathematics with conventional methods. So to solve this problem, the use of the Numbered Heads Together (NHT) type cooperative method can be used because learning allows students to focus on working together in small groups and divided heterogeneously. This type of research is classroom action research with a quantitative approach. The source of data obtained from student learning outcomes is in the form of pre-test and post-test. The population used is students of class XI MIPA 4. The study was conducted 2 cycles as an evaluation process to show the expected results. The results of this study show that in cycle 1 students can well follow the learning process, but still with less learning outcomes. Meanwhile, in cycle 2 with improvements in the provision of reinforcement from teachers, so that students can be more active and show excellent learning outcomes.
ABSTRAKTujuan penelitian ini adalah menemukan metode yang tepat dalam proses pembelajaran untuk menunjukan hasil belajar siswa yang maksimal. Permasalahan yang dihadapi oleh siswa cenderung kurang dalam hasil belajarnya pada matematika dengan metode yang bersifat konvensional. Sehingga untuk mengatasi masalah tersebut, penggunaan metode kooperatif tipe Numbered Heads Together (NHT) dapat digunakan karena pembelajaran yang memungkinkan siswa dapat berfokus pada kerja sama dalam kelompok kecil dan dibagi secara heterogen. Jenis penelitian ini adalah penelitian tindakan kelas dengan pendekatan kuantitatif. Sumber data yang diperoleh dari hasil belajar siswa berupa pre-test dan post-test. Populasi yang digunakan adalah siswa kelas XI MIPA 4. Penelitian dilakukan 2 siklus sebagai proses evaluasi untuk menunjukan hasil yang diharapkan. Hasil penelitian ini adalah menunjukan bahwa pada siklus 1 siswa dapat dengan baik mengikuti proses pembelajaran, tetapi masih dengan hasil belajar yang kurang. Sedangkan pada siklus 2 dengan perbaikan pada pemberian penguatan dari guru, sehingga siswa dapat lebih aktif dan menunjukan hasil belajar yang sangat baik.
MENGELOLA INTERAKSI KELAS UNTUK MENINGKATKAN PEMAHAMAN MATERI PRESTASI DIRI MELALUI APLIKASI METODE DEMONSTRASI DAN EVALUASI PERSONAL DI KELAS IX F MTsN 5 JOMBANG
Authors: ESTUNING HARI
Published: March 2023

Managing class interaction to increase students' understanding, especially in self-achievement for the nation's excellence, requires an appropriate method of approach, with the aim of achieving the learning targets of the Citizenship Education Subject (PKn) in Class IX F students at MTsN 5 Jombang in the 2017-2018 Academic Year. Demonstration methods and personal evaluation in the development of teaching and learning activities for Citizenship Education (Civics) Subjects focus on learning activities on systematic demonstration activities which facilitate students' understanding of the learning material. This research is procedurally using systematics or class action research design order (CAR). This research model is very much in line with the role and function of the teacher who always takes corrective action at each post-teaching activity (KBM). From the results of the study it was found that by using the demonstration method and personal evaluation, the teacher could seek to increase the understanding of self-achievement for the excellence of the nation's students in Class IX F MTsN 5 Jombang in the 2017-2018 Academic Year.
ABSTRAKMengelola interaksi kelas untuk meningkatan pemahaman siswa khususnya dalam prestasi diri demi keunggulan bangsa membutuhkan sebuah metode pendekatan yang tepat guna, dengan tujuan pencapaian target pembelajaran Mata Pelajaran Pendidikan Kewarganegaraan (PKn) pada siswa Kelas IX F di MTsN 5 Jombang Tahun Pelajaran 2017-2018. Metode demonstrasi dan evaluasi personal dalam pengembangan kegiatan belajar mengajar Mata Pelajaran Pendidikan Kewarganegaraan (PKn) menitikberatkan kegiatan pembelajaran pada kegiatan demonstrasi secara sistematis yang memudahkan pemahaman siswa pada materi pembelajaran tersebut. Penelitian ini secara prosedural menggunakan sistematika atau tata urutan rancangan penelitian tindakan kelas (PTK). Model penelitian ini sangat sejalan dengan peran dan fungsi guru yang senantiasa untuk melakukan tindakan korektif pada setiap pasca Kegiatan Belajar Mengajar (KBM). Dari hasil penelitian di dapatkan bahwa dengan penggunaan metode demonstrasi dan evaluasi personal ini guru dapat mengupayakan peningkatan pemahaman prestasi diri demi keunggulan bangsa siswa di Kelas IX F MTsN 5 Jombang Tahun Pelajaran 2017-2018.
Very-long-period oscillations in the atmosphere (0–110 km) – Part 2: Latitude– longitude comparisons and trends
Authors: Offermann Dirk , Kalicinsky Christoph , Koppmann Ralf , Wintel Johannes
Published: March 2023

Abstract. Measurements of atmospheric temperatures show a variety of long-term
oscillations. These can be simulated by computer models and exhibit
multi-annual, decadal, and even centennial periods. They extend from the
ground up to the lower thermosphere. Recent analyses have shown that they
exist in the models even if the model boundaries are kept constant with
respect to influences of the sun, ocean, and greenhouse gases. Therefore,
these parameters appear not to be responsible for the excitation of these
oscillations, i.e. the oscillations might be rather self-excited. However,
influences of land surface and vegetation changes had not been entirely
excluded. This is studied in the present analysis. It turns out that such
influences might be active in the lowermost atmospheric levels. Long-term trends of atmospheric parameters such as the temperature are important
for the understanding of the ongoing climate change. Their study is mostly
based on data sets that are 1 to a few decades long. The trend values are
generally small and so are the amplitudes of the long-period oscillations.
It can therefore be difficult to disentangle these structures, especially if
the interval of trend analysis is comparable to the period of the oscillations. If the oscillations are self-excited, there may be a
non-anthropogenic contribution to the climate change which is difficult to
determine. Long-term changes of the cold-point tropopause are analysed here
as an example.
Model estimates of metazoans' contributions to the biological carbon pump
Authors: Pinti Jérôme , DeVries Tim , Norin Tommy , Serra-Pompei Camila , Proud Roland , Siegel David A. , Kiørboe Thomas , Petrik Colleen M. , Andersen Ken H. , Brierley Andrew S. , Visser André W.
Published: March 2023

Abstract. The daily vertical migrations of fish and other metazoans actively transport organic carbon from the ocean surface to depth, contributing to the biological carbon pump. We use an oxygen-constrained, game-theoretic food-web model to simulate diel vertical migrations and estimate near-global (global ocean minus coastal areas and high latitudes) carbon fluxes and sequestration by fish and zooplankton due to respiration, fecal pellets, and deadfalls. Our model provides estimates of the carbon export and sequestration potential for a range of pelagic functional groups, despite uncertain biomass estimates of some functional groups.
While the export production of metazoans and fish is modest (∼20 % of global total), we estimate that their contribution to carbon sequestered by the biological pump (∼800 PgC) is conservatively more than 50 % of the estimated global total (∼1300 PgC) and that they have a significantly longer sequestration timescale (∼250 years) than previously reported for other components of the biological pump. Fish and multicellular zooplankton contribute about equally to this sequestered carbon pool. This essential ecosystem service could be at risk from both unregulated fishing on the high seas and ocean deoxygenation due to climate change.
A 600 kyr reconstruction of deep Arctic seawater δ18O from benthic foraminiferal δ18O and ostracode Mg ∕ Ca paleothermometry
Authors: Farmer Jesse R. , Keller Katherine J. , Poirier Robert K. , Dwyer Gary S. , Schaller Morgan F. , Coxall Helen K. , O'Regan Matt , Cronin Thomas M.
Published: March 2023

Abstract. The oxygen isotopic composition of benthic foraminiferal tests (δ18Ob) is one of the pre-eminent tools for correlating marine sediments and interpreting past terrestrial ice volume and deep-ocean temperatures. Despite the prevalence of δ18Ob applications to marine sediment cores over the Quaternary, its use is limited in the Arctic Ocean because of low benthic foraminiferal abundances, challenges with constructing independent sediment core age models, and an apparent muted amplitude of Arctic δ18Ob variability compared to open-ocean records. Here we evaluate the controls on Arctic δ18Ob by using ostracode Mg/Ca paleothermometry to generate a composite record of the δ18O of seawater (δ18Osw) from 12 sediment cores in the intermediate to deep Arctic Ocean (700–2700 m) that covers the last 600 kyr based on biostratigraphy and orbitally tuned age models. Results show that Arctic δ18Ob was generally higher than open-ocean δ18Ob during interglacials but was generally equivalent to global reference records during glacial periods. The reduced glacial–interglacial Arctic δ18Ob range resulted in part from the opposing effect of temperature, with intermediate to deep Arctic warming during glacials counteracting the whole-ocean δ18Osw increase from expanded terrestrial ice sheets. After removing the temperature effect from δ18Ob, we find that the intermediate to deep Arctic experienced large (≥1 ‰) variations in local δ18Osw, with generally higher local δ18Osw during interglacials and lower δ18Osw during glacials. Both the magnitude and timing of low local δ18Osw intervals are inconsistent with the recent proposal of freshwater intervals in the Arctic Ocean during past glaciations. Instead, we suggest that lower local δ18Osw in the intermediate to deep Arctic Ocean during glaciations reflected weaker upper-ocean stratification and more efficient transport of low-δ18Osw Arctic surface waters to depth by mixing and/or brine rejection.
A modified version of RothC to model the direct and indirect effects of rice straw mulching on soil carbon dynamics, calibrated in a Mediterranean citrus orchard
Authors: Pesce Simone , Balugani Enrico , de Paz José Miguel , Marazza Diego , Visconti Fernando
Published: March 2023

Abstract. Mulching of agricultural soils has been identified as a viable solution to sequester carbon into the soil, increase soil health and fight desertification; as such, it is an interesting option for carbon farming in Mediterranean areas. Models are used to project the effects of agricultural practices on soil organic carbon in the future for various soil and climatic conditions, and to help policy makers and farmers assess the best way to implement carbon farming strategies. Here, we modify the widely used RothC model to include mulching practices and their direct and indirect effects on soil organic matter input, soil temperature changes, and soil hydraulic balance. We then calibrated and validated our modified RothC (RothC_MM) using the dataset collected in a field mulching experiment described in detail in a companying article, and used the validated RothC_MM to estimate the expected soil carbon sequestration by year 2050 due to mulching for the Valencian community (Spain). Our results show that RothC_MM improved the fit with experimental data with respect to basic RothC, and was able to predict SOC and CO2 observations taken in the field, and to model the effects of mulch on soil temperature and soil water content.
Uncertainty estimation for a new exponential filter-based long-term root-zone soil moisture dataset from C3S surface observations
Authors: Pasik Adam , Gruber Alexander , Preimesberger Wolfgang , De Santis Domenico , Dorigo Wouter
Published: March 2023

Abstract. Soil moisture is a key variable in monitoring climate and an important component of the hydrological, carbon, and energy cycles. Satellite products ameliorate the sparsity of field measurements but are inherently limited to observing the near-surface layer, while water available in the unobserved root zone controls critical processes like plant water uptake and evapotranspiration. A variety of approaches exists for modelling root-zone soil moisture (RZSM), including approximating it from surface layer observations. While the number of available RZSM datasets is growing, they usually do not contain estimates of their uncertainty. In this paper we derive a long-term RZSM dataset (2002–2020) from the Copernicus Climate Change Service (C3S) surface soil moisture (SSM) COMBINED product via the exponential filter (EF) method. We identify the optimal value of the method’s model parameter T , which controls the level of smoothing and delaying applied to the surface observations, by maximizing the correlation of RZSM estimates with field measurements from the International Soil Moisture Network (ISMN). Optimized T-parameter values were calculated for four soil depth layers (0–10 cm, 10–40 cm, 40–100 cm, and 100–200 cm) and used to calculate a global RZSM dataset. The quality of this dataset is then globally evaluated against RZSM estimates of the ERA5-Land reanalysis. Results of the product comparison show satisfactory skill in all four layers with median Pearson correlation ranging from 0.54 in the topmost to 0.28 in the deepest soil layer. Temporally-dynamic product uncertainties for each of the RZSM product layers are estimated by applying standard uncertainty propagation to SSM input data and by estimating structural uncertainties of the EF method from ISMN ground reference measurements taken at the surface and in varying depths. Uncertainty estimates were found to exhibit both realistic absolute magnitudes as well as temporal variations. The product described here is, to our best knowledge, the first global, long-term, uncertainty-characterized, and purely observation-based product for RZSM estimates up to 2 m depth.
Technical note: A stochastic framework for identification and evaluation of flash drought
Authors: Li Yuxin , Chen Sisi , Yin Jun , Yuan Xing
Published: March 2023

Abstract. The rapid development of droughts, referred to as flash droughts, can pose serious impacts on agriculture, the ecosystem, human health, and society. However, its definition, using pentad-averaged soil moisture, could result in low accuracy in assessing the drought occurrence, making it difficult to analyze various factors controlling the formation of flash droughts. Here we used a stochastic water balance framework to quantify the whole probability structure of the timing for soil moisture dropping from a higher level to a lower one. Based on this framework, we can theoretically examine the nonlinear relationship between the rapid decline rate of soil moisture and various hydrometeorological factors and identify possible flash drought risks caused by less rainfall (e.g., long dry spells), higher evapotranspiration (e.g., extreme heat waves), lower soil water storage capacity (e.g., deforestation), or a combination thereof. Applying this framework to the global datasets, we obtained global maps of the average time for drought development and the risks of flash drought. We found that possible flash drought development in humid regions, such as southern China and the northeastern United States, calls particular attention to the need for flash drought monitoring and mitigation.
Bayesian calibration of a flood simulator using binary flood extent observations
Authors: Balbi Mariano , Lallemant David Charles Bonaventure
Published: March 2023

Abstract. Computational simulators of complex physical processes, such as inundations, require a robust characterization of the uncertainties involved to be useful for flood hazard and risk analysis. While flood extent data, as obtained from synthetic aperture radar (SAR) imagery, have become widely available, no methodologies have been implemented that can consistently assimilate this information source into fully probabilistic estimations of the model parameters, model structural deficiencies, and model predictions. This paper proposes a fully Bayesian framework to calibrate a 2D physics-based inundation model using a single observation of flood extent, explicitly including uncertainty in the floodplain and channel roughness parameters, simulator structural deficiencies, and observation errors. The proposed approach is compared to the current state-of-practice generalized likelihood uncertainty estimation (GLUE) framework for calibration and with a simpler Bayesian model. We found that discrepancies between the computational simulator output and the flood extent observation are spatially correlated, and calibration models that do not account for this, such as GLUE, may consistently mispredict flooding over large regions. The added structural deficiency term succeeds in capturing and correcting for this spatial behavior, improving the rate of correctly predicted pixels. We also found that binary data do not have information on the magnitude of the observed process (e.g., flood depths), raising issues in the identifiability of the roughness parameters, and the additive terms of structural deficiency and observation errors. The proposed methodology, while computationally challenging, is proven to perform better than existing techniques. It also has the potential to consistently combine observed flood extent data with other data such as sensor information and crowdsourced data, something which is not currently possible using GLUE calibration framework.
The Münsterdorf sinkhole cluster: void origin and mechanical failure
Authors: Kaufmann Georg , Romanov Douchko , Werban Ulrike , Vienken Thomas
Published: March 2023

Abstract. Since 2004, collapse sinkholes occur on the sports field of Münsterdorf, a village north of Hamburg
in Germany. The sinkholes, around 2–5 m in diameter and 3–5 m deep, develop in peri-glacial
sand, which at around 20 m depth is underlain by Cretaceous chalk. The chalk has been pushed up close to the
surface by a salt diapir. The sinkhole formation initiated suddenly and occurs with a frequency of
one every 2 years. We use a variety of geophysical results (e.g. gravity, electrical resistivity imaging,
ground-penetrating radar) from previous fieldwork campaigns together with a new data
set from direct-push-based methods to infer mechanical and hydrological properties of the
material beneath the sports field (peri-glacial sand, glacial marl, Cretaceous chalk). Based on the derived material properties, we develop a mechanical model for the sinkhole
collapse, starting from simple analytical considerations and then moving towards a three-dimensional
distinct-element model explaining the sudden onset of collapse sinkholes for the sports field. The mechanical model supports our hypothesis that the sudden onset of sinkholes is triggered
by changes in groundwater level.
Topographic and vegetation controls of the spatial distribution of snow depth in agro-forested environments by UAV lidar
Authors: Dharmadasa Vasana , Kinnard Christophe , Baraër Michel
Published: March 2023

Abstract. Accurate knowledge of snow depth distributions in
forested regions is crucial for applications in hydrology and ecology. In
such a context, understanding and assessing the effect of vegetation and
topographic conditions on snow depth variability is required. In this study,
the spatial distribution of snow depth in two agro-forested sites and one
coniferous site in eastern Canada was analyzed for topographic and
vegetation effects on snow accumulation. Spatially distributed snow depths
were derived by unmanned aerial vehicle light detection and ranging
(UAV lidar) surveys conducted in 2019 and 2020. Distinct patterns of snow
accumulation and erosion in open areas (fields) versus adjacent forested
areas were observed in lidar-derived snow depth maps at all sites.
Omnidirectional semi-variogram analysis of snow depths showed the existence
of a scale break distance of less than 10 m in the forested area at all
three sites, whereas open areas showed comparatively larger scale break
distances (i.e., 11–14 m). The effect of vegetation and topographic
variables on the spatial variability in snow depths at each site was
investigated with random forest models. Results show that the underlying
topography and the wind redistribution of snow along forest edges govern the
snow depth variability at agro-forested sites, while forest structure
variability dominates snow depth variability in the coniferous environment.
These results highlight the importance of including and better representing
these processes in physically based models for accurate estimates of
snowpack dynamics.
Corporation's Contracts with ICE Have an Explicit and Implicit Duty to Protect Immigrant Detainees
Authors: Oviedo Veronica
Published: March 2023

N/a
Birth Order, Gender, and Naming Preferences in Contemporary Poland
Authors: Tomanek Paweł
Published: March 2023

The paper investigates how birth order and gender jointly influence naming decisions among Polish parents. The impact of birth order on the choice of first names has been extensively documented in historical and anthropological studies worldwide, but it has been largely ignored in sociological research on contemporary Western countries. The study is based on a survey of 317 users of a Polish parenting forum devoted to first names and naming decisions. The names of the first-born and second-born children of the research participants are compared in terms of their popularity and traditionality, measured both objectively and subjectively, in regard to the subjective motives declared behind the naming choices. The findings show that, on the whole, the first-born children received more popular and more traditional names than the second-borns. However, when the gender of the children was figured in, the difference between the first-born and the second-born boys turned out statistically significant only in the dimension of traditionality, whereas between the first-born and the second-born girls, only in the dimension of popularity. In a within-family comparison, the names given to siblings were found to be fairly consistent in both dimensions, and the gender of the first child influenced the preferences for the second one, especially if the latter was a girl. Those results can be interpreted in the frame of different social expectations towards the genders, with a particular focus on gendered concepts of the self.
Exploration of River Names in China
Authors: Sun Yuan , Jiang Xiangyong
Published: March 2023

As a subtype of toponym, hydronyms reflect people’s perception, understanding, and contemplation of waterbodies. With data collected from authoritative gazetteers, this study classifies the names of 189 major rivers distributed across Mainland China into seven categories to extrapolate general rules governing river-naming in China. The results show that descriptive names comprise the biggest share. Based on this study’s research findings, this article also discusses the complex cognitive processes, including conceptual metonymy, conceptual metaphor, and conceptual blending involved in river-naming in China. Specifically, based on the principles of proximity and prominence, the most frequently employed types were the following metonymies: PLACE FOR RIVER, PROPERTY FOR RIVER, PERSON FOR RIVER, EVENT FOR RIVER, and FUNCTION FOR RIVER. As this research shows, river naming in China is not arbitrary, but highly motivated.
Hubungan Kenaikan Berat Badan Ibu Selama Hamil dengan Berat Badan Bayi Baru Lahir di UPT Puskesmas Muara Tuhup
Authors: Mulyatun Sri , Migang Yena Wineini , Trisaba Trisaba
Published: March 2023

Pada masa kehamilan pertumbuhan dan perkembangan janin dapat dipengaruhi oleh kesehatan ibu saat hamil seperti pertambahan berat badan ibu yang kurang pada saat hamil akan mempengaruhi ukuran berat bayi lahir. Berat bayi lahir merupakan salah satu indikator kesehatan bayi baru lahir, yang mana seorang bayi sehat dan cukup bulan. Tujuan penelitian ini untuk mengetahui hubungan kenaikan berat badan ibu selama hamil dengan berat badan bayi baru  lahir  di UPT Puskesmas Muara Tuhup. Jenis penelitian yang digunakan adalah analitik dengan menggunakan rancangan cross sectional study. Populasi dalam penelitian ini adalah semua ibu bersalin yang tercatat di UPT Puskesmas Muara Tuhup  dengan besar sampel sebanyak 157 responden. Pada penelitian ini, uji statistik yang digunakan adalah uji Chi Square. Hasil uji statistik didapatkan p value 0,000, dengan p value < 0,05 artinya ada hubungan kenaikan berat badan ibu selama hamil dengan berat badan bayi baru  lahir  di UPT Puskesmas Muara Tuhup dan diperoleh nilai  OR 59,156 artinya ibu hamil yang memiliki kenaikan berat badan sesuai IMT akan memiliki peluang sebanyak 59 kali  melahirkan bayi dengan berat badan lahir normal  dibandingkan ibu hamil  yang kenaikan berat badannya tidak sesuai dengan IMT. Untuk Puskesmas Muara Tuhup, dapat meningkatkan pelayanan kepada ibu hamil dengan memberikan rekomendasi kenaikan berat badan ibu hamil yang ditentukan dari IMT sebelum ibu hamil untuk mengurangi risiko lahir bayi dengan berat badan rendah ataupun berat badan lebih.
Efektivitas Model Pendampingan Pemeriksaan Payudara Sendiri (SADARI) Remaja Putri SMAN-1 Katingan Tengah
Authors: Febriyani Triska , Wahyuni Seri , Annah Itma
Published: March 2023

World Health Organization (WHO) tahun 2018 menyebutkan 61,16% dari 103 atau sekitar 63 jiwa wanita usia 10-24 tahun meninggal di Indonesia akibat kanker payudara. Provinsi Kalimantan Tengah tahun 2017 mengalami peningkatan penemuan tumor/benjolan  pada  payudara  dari  semula  82  orang  (1.54%)  dari sampel sebanyak 5.313 orang pada tahun 2016 menjadi 247 orang (1.76%) dari sampel sebanyak 14.063 orang pada tahun 2017. Kota Palangka Raya tahun 2018, dalam pemeriksaan deteksi dini payudara mengalami peningkatan pada tahun 2018 sebanyak 8 kasus (0.018%) dari 444 orang sampel. Penelitian ini bertujuan untuk mengetahui karakteristik meliputi usia, tingkat pendidikan dan pekerjaan, diketahui rata-rata pengetahuan tentang SADARI sebelum dan sesudah intervensi dengan menggunakan aplikasi, dan model pendampingan pemeriksaan payudara yang lebih efektif dengan mengukur tingkat pengetahuan SADARI pada remaja SMAN-1 Katingan Tengah. Penelitian ini merupakan penelitian yang menggunakan metode deskriptif dengan analisis data yang digunakan adalah univariat dan bivariat dengan uji beda dua mean dan statistik. Sampel penelitian berjumlah 30 remaja putri dan 30 orang tua (Ibu) dengan random sampling teknik. Hasil penelitian menunjukkan sebagian besar remaja putri memiliki pengetahuan baik sebelum intervensi 30,0% dengan rata-rata 13.17 dan setelah diberikan intervensi melalui aplikasi meningkat menjadi 100% dengan rata-rata 19.07 dan sebagian orang tua (ibu) memiliki pengetahuan baik sebelum intervensi 20,0% dengan rata-rata 12.63 dan setelah diberikan intervensi melalui pendampingan keluarga meningkat menjadi 100% dengan rata-rata 17.97. Perbandingan nilai rata-rata sesudah intervensi efektivitas model pendampingan pemeriksaan payudara sendiri (SADARI) berdasarka kelompok dengan selisih 1,1. Dan di buktikan secara statistik dimana nilai (p=0,000).
Hubungan Pendidikan, Pengetahuan, Pendapatan Keluarga dan Pemanfaatan Fasilitas Kesehatan Terhadap Kejadian Stunting Pada Balita di Kabupaten Kapuas Tahun 2021
Authors: Hugo Mayae , Hapsari Kristie
Published: March 2023

Stunting disebabkan oleh asupan gizi yang kurang dalam waktu cukup lama akibat pemberian makanan yang tidak sesuai dengan kebutuhan gizi mikro. Stunting dapat terjadi mulai janin masih dalam kandungan dan baru nampak saat anak berusia dua tahun. Tujuan penelitian untuk mengetahui hubungan pendidikan, pengetahuan tentang gizi, pendapatan keluarga dan pemanfaatan fasilitas dengan terjadinya stunting pada balita di Kabupaten Kapuas. Jenis penelitian korelasi dengan desain cross-sectional. Populasi adalah seluruh ibu yang memiliki balita stunting di aplikasi ePPGBM Kabupaten Kapuas yaitu sebanyak 2.480 anak. Jumlah sampel 344, menggunakan rumus Slovin Data dianalisa dengan uji Chi-square, dengan tingkat signifikan p>0,05 (taraf kepercayaan 95%). Hasil analisa bivariat menunjukkan tidak ada hubungan antara pendidikan dengan stunting  (p=0,613) dan ada hubungan antara pengetahuan (p=0.022), pendapatan keluarga (p=0,036) memanfaatkan fasilitas kesehatan (p=0,002) dengan kejadian stunting. Untuk mengatasi masalah stunting diperlukan peran BBKBN Provinsi Kalimantan Tengah melalui tenaga PKB/PLKB untuk memberikan dukungan dan pendampingan dan pembelajaran non formal kepada keluarga, remaja, calon pasangan usia subur atau kelompok masyarakat dalam upaya meningkatkan pengetahuan dan perubahan perilaku terkait pengasuhan anak, serta membantu memberikan motivasi kepada keluarga dan promosi tentang pentingnya pemanfaatan fasilitas kesehatan khususnya untuk mencegah stunting dengan pemantauan tumbuh kembang anak balita secara rutin.
Maki Ishii und sein Engagement bei den Darmstädter Ferienkursen und dem Deutsch-Japanischen Festival für Neue Musik in Tokio
Authors: Caitano Joevan de Mattos
Published: March 2023

This article examines the legacy of the Japanese composer Maki Ishii (1936–2003) based on his works and his activities in Berlin, Darmstadt, and Tokyo. Using hitherto unknown source material in the Archives of the Internationales Musikinstitut Darmstadt (IMD) and the Maki-Ishii-Archive in Berlin, the article demonstrates how Maki Ishii arrived at the Darmstädter Ferienkurse by presenting letters of reference by important people, as well as the reception of the events in Darmstadt in Tokyo through the interaction of this well-known composer with intercultural engagement. The relevance of the “Deutsch-Japanisches Festival für Neue Musik”, which was organized by Ishii and Yoshirō Irino in close collaboration with the directors of the Goethe Institute in Tokyo, is attested in the programmes collected at the Archives of Modern Japanese Music at the Meiji Gakuin University in Tokyo. The source-based approach explains Maki Ishii’s role in connecting Darmstadt with Japan and Japan with Darmstadt, and shows how he became one of the pioneers to internationalize traditional and modern Japanese music after the Second World War.
Use of creatine for muscle hypertrophy in resistance training practitioners: a narrative review
Authors: Macêdo Francisco Fábio Félix , Da Silva Francisco Rafael Oliveira
Published: March 2023

Creatine is a natural substance found in muscles that has gained popularity among physical activity practitioners, especially bodybuilders, due to its various benefits, including improved muscle tone, increased strength, optimized recovery, and muscle mass gain. The most common form of creatine is monohydrate, which is cost-effective and efficacious. However, the unguided use of supplements, including α-methyl guanidinoacetic acid, which has possible pharmacological, nutritional, and physiological effects on fast muscle energy and muscle hypertrophy, is common among exercise practitioners. On the other hand, creatine, also a widely used ergogenic, is capable of rapidly renewing muscular energy and increasing strength and total lean body mass. However, the use of dietary supplements such as creatine should be done with caution and accompanied by a specialized professional capable of establishing parameters that best meet the individual needs of each athlete or individual seeking muscle hypertrophy. It is essential to discuss the factors associated with the development of lean muscle mass, including creatine supplementation, considering its nutritional and pharmacological implications. Therefore, this narrative review aims to analyze the role of creatine as an ergogenic dietary supplement for muscle hypertrophy and identify the risks associated with its consumption.
Characterisation of microstructural alterations in the brain after mild Traumatic Brain Injury with diffusion MRI
Authors: Tayebi Maryam
Published: March 2023

Traumatic Brain Injury (TBI) results from sudden external physical trauma that causes damage to the brain, ranging from mild to severe forms of injury. Mild TBI or concussion presents difficulties in diagnosis due to subtle symptoms and subjective assessments. Advanced MRI techniques, particularly diffusion MRI, have emerged as promising tools for assessing patients with concussion in a quantitative manner. Thus, the present PhD project aims to characterize the microstructural changes in the brain following concussion using diffusion MRI in animal and human subjects. The results indicate that diffusion MRI is a promising technique for identifying microstructural damage due to head impacts. However, further longitudinal studies are needed to comprehend the mechanism of brain injury and its diagnosis and recovery process.
Nút tĩnh mạch cửa và tĩnh mạch gan làm phì đại gan trước cắt gan lớn: Kết quả ban đầu tại Việt Nam
Authors: Dũng Lê Thanh , Linh Vũ Hoài , Hải Đào Xuân , Tùng Lại Thanh , Sỹ Thân Văn
Published: March 2023

Nghiên cứu mô tả hiệu quả của phương pháp nút tĩnh mạch cửa đơn thuần (portal venous embolization – PVE) và phương pháp nút kết hợp tĩnh mạch cửa và tĩnh mạch gan ((liver venous deprivation – LVD) trước phẫu thuật cắt gan lớn. Từ 01/2020 đến 06/2021, 15 bệnh nhân được đưa vào nhóm nghiên cứu gồm 11 PVE và 4 LVD. Không có biến chứng liên quan đến thủ thuật ở nhóm PVE; một bệnh nhân xuất hiện chảy máu ngay sau LVD, được nút tạm thời động mạch gan phải để cầm máu, nhưng dẫn đến suy gan và tử vong sau 38 ngày. Tỷ lệ thể tích gan còn lại theo dự kiến (future liver remnant - FLR) đủ để được phẫu thuật ở nhóm PVE là 5/11, đạt 3/4 ở nhóm LVD. Tỷ lệ FLR tăng lên sau nút mạch ở nhóm PVE và LVD lần lượt là 32% và 118%, p = 0,024, tốc độ phì đại gan ở 2 nhóm tương ứng lần lượt là 5% và 38%, p = 0,01. LVD gây phì đại nhanh hơn và nhiều hơn đáng kể so với PVE, có thể là một kỹ thuật thay thế cho PVE với hy vọng giúp tăng tỷ lệ bệnh nhân được cắt gan.
Anxiolytic effect of the herbal remedy “Ky cuc dia hoang thang gia vi” in experimental animals
Authors: Quyen Do Linh , Trung Doan Van , Anh Pham Thi Van , Loan Nguyen Thi Thanh
Published: March 2023

The present study evaluated the anxiolytic effect of the herbal remedy “Ky cuc dia hoang thang gia vi” in experimental animals. Swiss mice were treated with “Ky cuc dia hoang thang gia vi” remedy at 31.2 and 62.4 g/kg per day for seven consecutive days. The anxiolytic effect of “Ky cuc dia hoang thang gia vi” was assessed in mice using elevated plus maze, spontaneous locomotor activity, rotarod performance and grip strength tests. The results showed that “Ky cuc dia hoang thang gia vi” remedy increased the frequency and time in the open arms and decreased the index of open arm avoidance. Moreover, “Ky cuc dia hoang thang gia vi” remedy inhibited spontaneous locomotion, shortened the stay time on the rotating cylinder in rotarod performance test, and reduced the force in the grip strength test. No statistically significant difference in the anxiolytic effect was found between two doses after three hours of the last administration. Our findings demonstrated that “Ky cuc dia hoang thang gia vi” remedy exerted anxiolytic effect. The rationale for the ethnomedicinal use of “Ky cuc dia hoang thang gia vi” remedy for the management of anxiety was confirmed scientifically in this study.
Common adverse events following immunization with moderna Covid-19 vaccine among Vietnamese adults at Hanoi Medical University in 2021
Authors: Ha Nguyen Thu , Nhung Ta Thi Kim , Thanh Nguyen Van , Nam Nguyen Thuy , Ha Le Thi Thanh , Linh Hoang Dieu , Huyen Luong Phuong Thi , Quan Pham Thi , Thao Nguyen Thanh , Huong Phan Thi Mai , Thinh Nguyen Thi , Hien Nguyen Thuy , Huong Le Thu , Khanh Nguyen Thi Lien , Xuan Le Thi Thanh
Published: March 2023

The rapid creation of vaccinations has increased the risk of vaccine safety. In less than two years, a significant number of COVID-19 vaccines were developed and approved in various countries to control the COVID-19 pandemic. This study was conducted to identify the common adverse events following immunization with mRNA-1273 (Moderna COVID-19) vaccine among adults in 2021. A cross-sectional study using randomized sampling was conducted in Hanoi, Vietnam, with 766 participants. The results show that the prevalence of AEFIs after the 1st dose was significantly lower than after the 2nd dose (41.25% vs. 85.64%, p < 0.05). Local effects, fever, fatigue, and increased pain sensation were the most common side effects encountered in both 1st and 2nd dose. The AEFIs are mostly mild and automatically wore off after one to three days. Therefore, the Moderna COVID-19 vaccine is safe for injection.
Application of structural equation modeling to determine factors influencing cognitive impairment, depression, and fatigue among stroke survivors
Authors: Thao Nguyen Thi Phuong , Thanh Nguyen Xuan , Tam Nguyen Ngoc , Hai Hoang Bui , Huyen Vu Thi Thanh
Published: March 2023

This study explored the causal relationships between independent factors (individual factors, stroke characteristics) and post-stroke mental health issues through physiological and behavioral mediating factors. The study design is cross-sectional with a total of 162 stroke survivors treated at Vietnam's National Geriatric Hospital between June and December, 2021. We performed structural equation modeling analysis to calculate the standardization coefficient and correlation coefficient for our hypothesis. The structural model and standardized path coefficients had a goodness-of-fit indexes of Root-MeanSquare Error of Approximation (RMSEA) of 0.089, a comparative fit index (CFI) of 0.997, a Tucker-Lewis Index (TLI) of 0.954, and a standardized root mean-square residual (SRMR) of 0.019. Sleep disorder was positively associated with increasing post-stroke depression (Coef: 4.723; p<0.001) and fatigue status (Coef: 3.846; p<0.001). By contrast, alcohol use disorder was found as a factor that decreased fatigue status (Coef:-4.460; p = 0.005). Furthermore, post-stroke disability severity was significantly related to cognitive impairment (Coef: -3.229; p<0.001), depression (Coef: 1.559; p<0.001), and fatigue (Coef: 1.701; p = 0.002). The severity of post-stroke disability was associated with increasing cognition and mental health problems. Alcohol consumption and sleeplessness were found to be mediating effects between gender and age of stroke patients with changes in post-stroke depression and fatigue.
The effect of “Dong trung ha thao Sapa” hard capsules in the uterus of ovariectomized mice
Authors: Anh Pham Thi Van , Hang Vu Viet , Duong Dau Thuy , Quang Trinh Vinh , Quan Le , Van Nguyen Huy , Hue Nguyen Thi Vinh , Sy Do Tien , Tri Nguyen Phu , Anh Nguyen Thi Van , Hao Dang Thi Phuong , Minh Nguyen Thu , Linh Do Dieu
Published: March 2023

“Dong trung ha thao Sapa” (DTHT) capsules, prepared from Cordyceps militaris powder, are intended to be used in relieving menopausal signs and symptoms. The current study aimed to evaluate the estrogenic properties of DTHT capsules on experimental animals. Female mice from 6 to 8 weeks were used for the study. Mice were divided into the following groups: group I - normal control without being ovariectomized (saline-treated); group II to V were ovariectomized, group II (saline-treated); group III (Ethinyl estradiol-treated), group IV (low dose DTHT capsules) and group V (high dose DTHT capsules). The potential effect of DTHT capsules was evaluated by measuring both the wet and blotted uterus weights. The uterus was then fixed in 10% neutral buffered formalin, HE(Haematoxylin & Eosin) stained and examined histopathologically. The results suggest that DTHT capsules show estrogenic activity in ovariectomized mice by increasing wet uterus and blotted uterus weight and improving the uterus’s histology. DTHT capsules appear to be an effective therapeutic drug for the treatment of menopausal symptoms.