bluuebunny/crossref_metadata_2025_split huggingface dataset:
Az új területi hulladékgazdálkodási hatóságok szerepe az elhagyott hulladék felszámolásában
Authors: B. Gyurkó Brigitta 
Published: October 2024

In March 2021, the Government further transformed the organizational side of environmental protection and created new waste management authorities. The national and regional waste management authorities are embedded in the county government office system. The responsibilities of the waste management authorities are multifaceted, however, implementing regulations are not available in all cases. Regional waste management authorities play a significant role in the elimination of abandoned waste. In recent years, in compliance with European Union regulations, landfills operating without a permit have been abolished. Sanctions imposed by the authorities in the case of illegally abandoned waste contribute to reducing the amount of illegally disposed waste. The new waste management authorities can promote the creation of a circular economy, but only if the legislator creates the missing legal and technical conditions.
Association between delayed outbreak identification and SARS-CoV-2 infection and mortality among long-term care home residents, Ontario, Canada, March to November 2020: a cohort study
Authors: Brown Kevin A , Buchan Sarah A , Chan Adrienne K , Costa Andrew , Daneman Nick , Garber Gary , Hillmer Michael , Jones Aaron , Johnson James M , Kain Dylan , Malikov Kamil , Mather Richard G , McGeer Allison , Schwartz Kevin L , Stall Nathan M , Johnstone Jennie 
Published: October 2024

Background
Late outbreak identification is a common risk factor mentioned in case reports of large respiratory infection outbreaks in long-term care (LTC) homes.

Aim
To systematically measure the association between late SARS-CoV-2 outbreak identification and secondary SARS-CoV-2 infection and mortality in residents of LTC homes.

Methods
We studied SARS-CoV-2 outbreaks across LTC homes in Ontario, Canada from March to November 2020, before the COVID-19 vaccine rollout. Our exposure (late outbreak identification) was based on cumulative infection pressure (the number of infectious resident-days) on the outbreak identification date (early: ≤ 2 infectious resident-days, late: ≥ 3 infectious resident-days), where the infectious window was −2 to +8 days around onset. Our outcome consisted of 30-day incidence of secondary infection and mortality, based on the proportion of at-risk residents with a laboratory-confirmed SARS-CoV-2 infection with onset within 30 days of the outbreak identification date.

Results
We identified 632 SARS-CoV-2 outbreaks across 623 LTC homes. Of these, 36.4% (230/632) outbreaks were identified late. Outbreaks identified late had more secondary infections (10.3%; 4,437/42,953) and higher mortality (3.2%; 1,374/42,953) compared with outbreaks identified early (infections: 3.3%; 2,015/61,714; p < 0.001, mortality: 0.9%; 579/61,714; p < 0.001). After adjustment for 12 LTC home covariates, the incidence of secondary infections in outbreaks identified late was 2.90-fold larger than that of outbreaks identified early (OR: 2.90; 95% CI: 2.04–4.13).

Conclusions
The timeliness of outbreak identification could be used to predict the trajectory of an outbreak, plan outbreak measures and retrospectively provide feedback for quality improvement, with the objective of reducing the impacts of respiratory infections in LTC home residents.
Locally acquired malaria: a retrospective analysis of long-term surveillance data, European France, 1995 to 2022
Authors: Delamare Hugues , Tarantola Arnaud , Thellier Marc , Calba Clémentine , Gaget Olivier , Consigny Paul-Henri , Simard Frederic , Manguin Sylvie , Brottet Elise , Paty Marie-Claire , Houze Sandrine , De Valk Henriette , Noël Harold 
Published: October 2024

Background
In European France, the bulk of malaria cases are travel-related, and only locally acquired cases are notifiable to assess any risk of re-emergence.

Aims
We aimed to contribute to assessing the health impact of locally acquired malaria and the potential of malaria re-emergence in European France by documenting modes of transmission of locally acquired malaria, the Plasmodium species involved and their incidence trends.

Methods
We retrospectively analysed surveillance and case investigation data on locally acquired malaria from 1995 to 2022. We classified cases by most likely mode of transmission using a classification derived from the European Centre for Disease Prevention and Control. A descriptive analysis was conducted to identify spatial and temporal patterns of cases.

Results
From 1995 to 2022, European France reported 117 locally acquired malaria cases, mostly due to Plasmodium falciparum (88%) and reported in Île-de-France (54%), Paris Region. Cases were classified as Odyssean malaria (n = 51), induced malaria (n = 36), cryptic malaria (n = 27) and introduced malaria (n = 3). Among the 117 patients, 102 (93%) were hospitalised, 24 (22%) had severe malaria and seven (7%) died.

Conclusion
Locally acquired malaria remains infrequent in European France, with four reported cases per year since 1995. However, with the recent increasing trend in Odyssean malaria and climate change, the risk of re-emergence in non-endemic countries should be monitored, particularly in areas with autochthonous competent vectors. The vital risk of delayed diagnosis should make physicians consider locally acquired malaria in all patients with unexplained fever, especially when thrombocytopenia is present, even without travel history.
Development of UTAYA: Implementing Snakes and Ladders Media for Contextual Teaching and Learning of Forces in Physics Education
Authors: Kartikaningrum Riska , Mulyani Petra Kristi 
Published: October 2024

Conventional learning and limitations in learning media made students passive in learning, which resulted in students' lack of interest in learning and achievement. This research aimed to develop innovative, technology-based instructional media, and to determine the validity and effectiveness of UTAYA, snakes and ladders media for contextual teaching and learning (CTL) of forces in fourth-grade. The research was developed using the Borg and Gall model. UTAYA was categorized as very appropriate for use with a validity percentage of 93% media experts, meaning that the media presented was interesting and appropriate to the content, easy to use by teachers and students, practical and fun, and had an appropriate appearance to the students’ level of development and character, Content experts validated and assessed the accuracy of the content of the media in the very appropriate category with a percentage of 91%, which meant that the content presented was appropriate to the learning objectives and made it easier for students to understand the content. The forces topic content was covered entirety in the media, stimulated students' curiosity, which was appropriate to support learning and increase students' knowledge, it used of appropriate language, according to students' development. Based on the pretest and posttest results, UTAYA was effective to improve learning outcomes, as seen from the effectiveness of the t-test and Ngain tests. The t-test showed a Sig. <0.05, meaning there was a significant difference between learning outcomes before and after treatment. The N-gain test showed a medium criterion, 0.70 on a large-scale test, and a medium criterion, 0.64 on a small-scale test, that the students were very enthusiastic and could understand the lesson. From these results, UTAYA was valid and effective to be an instructional media to improve learning
A Formation of Atmospheric Aerosol Particles Due to Gas-to-Particle Conversion in Dark Conditions and the Particles’ Evolution in Large (3200 m3) Isolated Volume
Authors: Dubtsov Sergey , Ivanov Vladimir , Ozols Oleg , Paley Alexei , Pisanko Yuri , Romanov Nikolai , Sachibgareev Dzhalil , Vasilyeva Marina 
Published: October 2024

absence. The study was carried out in the Large Aerosol Chamber (LAC) of Research and Production Association (RPA) "Typhoon" having 3200 m3 volume. Because of the large size of the LAC, it is possible to exclude the boundary conditions influence by chamber walls and the equipment inside the LAC on the processes under study. The LAC has two (external and internal) High Efficiency Particulate Air (HEPA) 13 class filters installed at the entrance and inside it. First, we fill out the LAC of the atmospheric air and close it. After that, we purify the air inside the LAC by the internal filter. The number concentration of particle sizes above 15 nm decreases down to 50 particles per cm3. However, after a while, we observe increasing the particle number concentration by more than two orders of magnitude. We suppose that new formed particles due to gas-to-particle conversion were detected. We again purify the air inside the LAC by the internal filter. The particle number concentration decreased down to 10-20 particles per cm3 and remained at this low value for more than 300 hours. Our experiments indicate the necessity to use the two-stage procedure for cleaning working areas, with a time gap enabling gaseous precursors to form new particles, removable by HEPA 13 filter. Regularities of the growth of the newly formed particles from 15 nm size to cloud condensation nuclei characteristic size under controlled conditions were investigated. The observed regularities could contribute to understanding the atmospheric aerosol formation process responsible for cloudiness and precipitations.
The Potential Influence of COVID-19 on the Arab World Economy
Authors: N.K. Alfarra Ahmed , Hagag Ahmed 
Published: October 2024

This paper predicts Coronavirus Disease (COVID-19)'s potential influence on the Arab country's economy by using two predicting models: the Autoregressive Integrated Moving Average (ARIMA) model and Long Short-Term Memory (LSTM) model. The World Bank offers data of the Arab countries' Gross Domestic Product (GDP) over the period 1968-2019. As we show up at the pinnacle of the COVID-19 pandemic, quite possibly the most critical inquiry going up against us is: what is the potential impact of the pandemic on the rate of GDP in Arab countries during the pandemic period? LSTM is recurrent neural networks (RNN), which are competent in understanding temporal dependencies. Therefore, the model based on LSTM achieved a great fit with the real data, which is what made us rely on its results more than the ARIMA model. The results of the LSTM model showed that the COVID-19 pandemic caused a decrease in GDP by approximately 17.22% and 5.41% in 2020 and 2021, respectively, with respect to the real GDP announced by the World Bank. In addition, we trained the LSTM-based model on real data from 1968 to 2020 and predicted the GDP growth rate in the next five years until 2025. Thus, what is certain now is that the Arab world states have to encounter the challenges presented by the current ecosystem. Transition to digital economy is needed, additional volume of data with high-level accuracy is required to improve precise and robust models to attain projections with a reduced amount of margin of error.
Pengaruh Kompensasi, Lingkungan Kerja, Budaya Organisasi Dan Pelatihan Terhadap Kinerja Pegawai
Authors: Aryawibawa Anja Dwi , Aryoko Yudhistira Pradhipta , Darmawan Akhmad 
Published: October 2024

Penelitian ini bertujuan untuk menguji pengaruh kompensasi, lingkungan kerja, budaya organisasi dan pelatihan terhadap kinerja pegawai. Populasi penelitian ini adalah pegawai Dinas Kependudukan dan Pencatatan Sipil Kabupaten Banyumas. Penelitian ini menerapkan metode pendekatan kuantitatif. Teknik sampling dengan sampling jenuh (sensus) sampel yang digunakan berjumlah 103 pegawai atau seluruh sampel dengan instrumen pengumpulan data menggunakan kuisioner dengan pengukuran skala likert 5 poin dan jenis pengumpulan data primer. Olah data memakai pengujian asumsi klasik, hipotesis, dan analisis regresi linear berganda dengan alat analisis yang digunakan adalah SPSS. Hasil penelitian ini menunjukan bahwa variabel kompensasi tidak memiliki pengaruh positif terhadap kinerja pegawai, variabel lingkungan kerja berpengaruh positif terhadap kinerja pegawai, sedangkan variabel budaya organisasi dan pelatihan memiliki pengaruh positif signifikan terhadap kinerja pegawai.
TRANSPUAN DALAM PUSARAN PEMBERITAAN MEDIA ONLINE LOKAL DI SIKKA
Authors: Gabirel Langga Gabriel Langga 
Published: October 2024

Transpuan became an interesting phenomenon so that it became the object of news from the mass media in Indonesia by crediting transwomen. This is because the mass media does not have a diverse and inclusive perspective. As a result, transwomen are always ostracized in society due to news contrusion formed by the mass media. In this study, researchers used qualitative research by analyzing the framing of transwomen issues in the vortex of local online media coverage in Sikka Regency, East Nusa Tenggara using four local media, namely pojokbebas.com, florespedia.com, lenterapos.id and ekorantt.com. In this study, researchers used Robert N. Entman's framing analysis model by analyzing the elements of defining the problem, estimating the cause of the problem, making moral choices and finally emphasizing resolution. With four elements, it is known the perspective or perspective of journalists in constructing transwomen news so that the news is chosen to be highlighted in the eyes of the public. Objek in this study used news texts about local online media reporting related to transwomen in Sikka District. Researchuses two data sources, namely primary data and secondary data.
The results of this study show that the four local media pojokbebas, florepedia, lenterapos.id and ekorantt in framing their news show that the four local media provide a positive news space for transwomen as well as space for transwomen to speak out. In addition, the four local media in Sikka District showedtheir partiality towards transwomen by framing the news in a friendly and inclusive manner.
Multi-branch deep learning neural network prediction model for the development of angular biosensors based on sEMG
Authors: Yang Liman , Shi Zhijun , Jia Ruming , Kou Jiange , Du Minghua , Bian Chunrong , Wang Juncheng 
Published: October 2024

IntroductionHuman gait motion intention recognition is very important for the lower extremity exoskeleton robot to accurately synchronize and respond to the user’s natural motion. And motion intention recognition is generally performed through sEMG. Deep learning neural networks perform well in dealing with high-dimensional data and nonlinear relationships such as sEMG, but different deep learning neural networks have their own advantages in dealing with different types of data. Therefore, a multi-branch deep learning neural network, which enables different neural networks to process different feature items, could achieve more accurate and efficient motion intention recognition. The purpose of this study is to 1) Establish a multi-branch deep learning neural network model to achieve accurate gait recognition and effective estimation of joint angles. 2) Quantify the performance of the multi-branch deep learning neural network model in gait recognition and joint angle prediction using sEMG.MethodologyThis study involved the collection of sEMG and plantar pressure data during walking in human subjects. Firstly, the collected signals are filtered and denoised to ensure the quality and reliability of the data. Calculate the time domain features and the frequency domain features to capture the key information of gait. Then, using the sensitivity difference of different structural neural networks to different feature data, a multi-branch deep learning neural network model is developed, in which the extracted features are used as the input of the model. The output of the model includes gait cycle and joint angle, so as to realize the accurate recognition of human gait and the effective estimation of joint angle.ResultsThe results show that the proposed method has high accuracy in identifying human gait and estimating joint angles. The multi-branch neural network model successfully integrates time-domain and frequency-domain features and provides reliable prediction of gait cycle and joint angle. The highest accuracy of gait recognition is 95.42%, the lowest is 90.11%, and the average is 92.16%. The average error of joint angle estimation is 3.19.DiscussionThis study designed a human walking gait recognition and joint angle prediction model to achieve accurate human lower limb motion intention recognition.The model can be integrated into the sEMG sensor to design a angular biosensors, which can predict the human joint angle in real time.
The levels of systemic inflammatory markers exhibit a positive correlation with the occurrence of heart failure: a cross-sectional study from NHANES
Authors: Huang Lei , Shen Ronghuan , Yu Hailan , Jin Nake , Hong Jun , Luo Yu , Chen Xudong , Rong Jiacheng 
Published: October 2024

BackgroundWe conducted a large-scale epidemiological analysis to investigate the associations between systemic inflammation markers and heart failure (HF). Our aim is to identify potential biomarkers for early detection of HF.MethodsA cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey. We investigated the associations between five systemic inflammation markers (neutrophil to lymphocyte ratio [NLR], platelet to lymphocyte ratio [PLR], systemic immune inflammation index [SII], system inflammation response index [SIRI], and aggregate index of systemic inflammation [AISI]) and the risk of HF.ResultsThe prevalence rates of HF exhibited a gradual increase across increasing logNLR, logPLR, logSII, logSIRI, and logAISI tertiles. Compared to those in the highest tertiles of logNLR, logSII, logSIRI, and logAISI had a 1.579-fold, 1.341-fold, 1.956-fold, and 1.499-fold increased risk of HF compared to those in the lowest tertile respectively. Conversely, there was no significant correlation between logPLR and HF risk among subjects in the highest tertile. The restricted cubic splines (RCS) analysis revealed a non-linear relationship between the elevation of systemic inflammation markers and HF prevalence. Specifically, a per standard deviation increase in any of these variables is associated with a respective 45%, 29%, 28%, 44% and 29% increase in HF prevalence. The receiver operating characteristic (ROC) analysis demonstrated favorable sensitivity and specificity of these systemic inflammation markers in detecting the presence of HF.ConclusionOur cross-sectional study demonstrates significant positive correlations between the NLR, PLR, SII, SIRI, and AISI with the incidence of HF.
Case Report: PROS1 (c.76+2_76+3del) pathogenic mutation causes pulmonary embolism
Authors: Ding Peng , Zhou Yuan , Yang Meijie , Li Sheng , Zhang Song , Zhi Lijia 
Published: October 2024

BackgroundGenetic variation plays an extremely important pathogenic role in the development of venous thromboembolism (VTE). Genetic protein S (PS) deficiency caused by PROS1 gene mutation is an important risk factor for hereditary thrombophilia.Case introductionIn this case, we report a 28-year-old male patient who developed a severe pulmonary embolism during his visit. The patient had experienced one month of chest pains, coughing and hemoptysis symptoms. CTPA confirmed an acute pulmonary embolism with multiple filling defects in both pulmonary arteries. Ultrasound showed no thrombosis in the veins of both lower limbs. The patient's father and grandfather have a history of lower limb venous thrombosis. The patient was diagnosed with acute pulmonary embolism and pneumonia. The serum PS level significantly decreased (detection result: 10%, normal range: 77–143). Gene sequencing revealed a heterozygous missense mutation in PROS1 c.76+2_76+3del (base deletion), and further testing revealed that the genetic variation originated from his father. The patient was treated with heparin anticoagulant therapy, catheter thrombus aspiration, and catheter thrombolysis. After treatment, the patient's chest pain symptoms were relieved, and there were no symptoms such as difficulty breathing. On the 7th day of admission, the patient was transferred to a general hospital for further treatment.ConclusionHereditary thrombophilia caused by mutations in the PROS1 (c.76+2_76+3del) gene is extremely rare. In clinical practice, heparin and rivaroxaban treatment are beneficial.
Groundwater level rise and geological structure influences on land deformation dynamics: insights from managed aquifer recharge operations in Beijing, China
Authors: Liu Shao-Min , Bai Ming-Zhou 
Published: October 2024

Managed Aquifer Recharge (MAR) has been implemented in the upper alluvial plain of the Chaobai River, significantly affecting the groundwater level and causing it to rise. However, the effects of the MAR on land subsidence,remain largely unknown. To elucidate the effects of MAR on land subsidence, a comprehensive analysis was undertaken, integrating interferometric synthetic aperture radar (InSAR) data, extensometer measurements, and groundwater level observations.Our analysis revealed a discernible land rebound phenomenon, with rates escalating from 2.3 mm/a in 2015 to 20 mm/a in 2021. This rebound extends southwestward, following a dispersion pattern that aligns with pre-existing fault structures, suggesting their controlling influence. The groundwater level changes caused by the MAR can cause land rebound, especially near fault footwalls. However,low permeability in fault zones hinders groundwater flow in the hanging wall resulting in slight land deformation. Lithology also affects rebound, with sandy soils showing more significant land rebound, while low-sand areas exhibit limited or delayed rebound. These findings offer crucial insights into the interplay between MAR, groundwater dynamics, and land subsidence in the studied region. They provide a foundation for informed decision-making in groundwater replenishment strategies and precise subsidence prevention and control measures. Future research should maintain a vigilant monitoring of the long-term consequences of MAR on land subsidence to ensure sustainable regional development.