bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance of artificial intelligence in predicting the prognossis of severe COVID-19: a systematic review and meta-analysis
Authors: Qin Chu , Ma Huan , Hu Mahong , Xu Xiujuan , Ji Conghua 
Published: July 2024

BackgroundCOVID-19-induced pneumonia has become a persistent health concern, with severe cases posing a significant threat to patient lives. However, the potential of artificial intelligence (AI) in assisting physicians in predicting the prognosis of severe COVID-19 patients remains unclear.MethodsTo obtain relevant studies, two researchers conducted a comprehensive search of the PubMed, Web of Science, and Embase databases, including all studies published up to October 31, 2023, that utilized AI to predict mortality rates in severe COVID-19 patients. The PROBAST 2019 tool was employed to assess the potential bias in the included studies, and Stata 16 was used for meta-analysis, publication bias assessment, and sensitivity analysis.ResultsA total of 19 studies, comprising 26 models, were included in the analysis. Among them, the models that incorporated both clinical and radiological data demonstrated the highest performance. These models achieved an overall sensitivity of 0.81 (0.64–0.91), specificity of 0.77 (0.71–0.82), and an overall area under the curve (AUC) of 0.88 (0.85–0.90). Subgroup analysis revealed notable findings. Studies conducted in developed countries exhibited significantly higher predictive specificity for both radiological and combined models (p &lt; 0.05). Additionally, investigations involving non-intensive care unit patients demonstrated significantly greater predictive specificity (p &lt; 0.001).ConclusionThe current evidence suggests that artificial intelligence prediction models show promising performance in predicting the prognosis of severe COVID-19 patients. However, due to variations in the suitability of different models for specific populations, it is not yet certain whether they can be fully applied in clinical practice. There is still room for improvement in their predictive capabilities, and future research and development efforts are needed.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/ with the Unique Identifier CRD42023431537.
Age, period, cohort effects in trends of depressive symptoms among middle-aged and older Chinese adults
Authors: Hu Xiaoqian , Jin Wenxue , Wang Junlei , Dong Hengjin 
Published: July 2024

ObjectivesTo investigate the effects of age, period, and cohort on the trends of depression; and to examine the influence of these three temporal effects on residential disparities in depression.MethodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS) during 2011 to 2020, involving 77,703 respondents aged 45 years old and above. The measurement of depressive symptoms was the score of 10-question version of the Center for Epidemiologic Studies Depression Scale (CES-D 10). The hierarchical age-period-cohort cross-classified random effects models were conducted to examine trends in depressive symptoms related to age, period and cohort.ResultsCES-D scores increased with age and slightly decreased at older age. The cohort trends mostly increased except for a downward trend among those born in 1950s. As for the period effect, CES-D scores decreased gradually from 2011 to 2013 followed by a upward trend. Rural residents were associated with higher level of depression than those live in urban area. These residence gaps in depression enlarged before the age of 80, and then narrowed. The urban–rural disparities in CES-D scores gradually diminished across cohorts, while the corresponding period-based change in urban–rural gaps was not significant.ConclusionWhen age, period, cohort factors are considered, the age effects on depression dominated, and the period and cohort variations were relatively small. The residence disparities in depression reduced with successive cohorts, more attention should be paid to the worsening depression condition of younger cohorts in urban areas.
Insights from coronial recommendations for preventing natural deaths in sport and recreation in Québec, Canada
Authors: Richard Philippe , Perron Paul-André , Sylvain-Morneau Jérémie , Poirier Paul 
Published: July 2024

IntroductionThis descriptive retrospective study analyzed coronial recommendations for natural deaths in sport and recreation from January 2006 to December 2019 using data from the Bureau du coroner du Québec.MethodsReports with recommendations were analyzed by sex, age group, cause of death, context, and activity. The nature of recommendations was assessed using a public health-based model. Thematic analysis was conducted following a four-phase approach in which themes developed were emphasized and further connected with existing literature.ResultsReports involving individuals aged 18–24 and reports related to ice hockey were significantly more likely to contain recommendations. Reports related to individuals ≥45 years old, or related to cycling or hunting had higher death frequencies, but relatively low recommendation rates. Most recommendations aligned with the public health-based model but specifying implementation time frames was rare (11.7%). Nearly 60% of coroner’s recommendations focused on automated external defibrillator implementation, delivery and training.DiscussionMitigation of sudden cardiac arrest risk for individuals ≥45 years old, timely treatment of life-threatening arrhythmias especially for activity practiced in remote regions and specifying implementation time frames were identified as improvement areas. The multi-faceted approach to enhancing public access defibrillation developed by the International Liaison Committee on Resuscitation in 2022 addresses recurrent themes covered by coroners and holds the potential to inform evidence-based decision making.
Lifting COVID-19-associated non-pharmaceutical interventions: potential impact on notifications of infectious diseases transmitted from person to person in 2022 in Bavaria, Germany
Authors: Hausmann Judith , Dörre Achim , Katz Katharina , van de Berg Sarah 
Published: July 2024

BackgroundThe COVID-19 pandemic and associated non-pharmaceutical interventions (NPIs) have led to substantial decreases in case numbers of infectious diseases in several countries worldwide. As NPIs were gradually lifted, intense or out-of-season outbreaks of respiratory and gastrointestinal diseases were reported, raising the hypothesis of a potential catch-up effect of infections. By analysing surveillance data from the federal reporting system for notifiable infectious diseases, we aimed to assess the potential impact of lifting COVID-19 associated NPIs on notifications of selected infectious diseases in Bavaria, 2022.MethodsWe compared influenza, chickenpox, norovirus gastroenteritis, rotavirus gastroenteritis weekly case numbers in a pre-pandemic period (2016–2019) and 2022 using two time series analyses approaches: (i) a predictive model forecasting weekly case numbers for the pandemic years 2020–2022, based on 2016–2019 data, (ii) interrupted time series model, based on 2016–2022 data, including a term per pandemic period.ResultsIn 2022, incidence rates were higher compared to pre-pandemic period for influenza (IRR = 3.47, 95%CI: 1.49–7.94) and rotavirus gastroenteritis (IRR = 1.36, 95%CI: 0.95–1.93), though not significant for rotavirus gastroenteritis. Conversely, case numbers remained significantly below pre-pandemic levels for chickenpox (IRR = 0.52, 95%CI: 0.41–0.65) and norovirus gastroenteritis (IRR = 0.59, 95%CI: 0.42–0.82). Seasonality changed notably for influenza, showing an earlier influenza wave compared to pre-pandemic periods.ConclusionThe lifting of NPIs was associated with heterogenic epidemiological patterns depending on the selected disease. The full impact of NPIs and their discontinuation may only become clear with continued monitoring and assessment of potential additional contributing factors.
Valorization of animal waste proteins for agricultural, food production, and medicinal applications
Authors: Boboua Stopira Yannick Benz , Wen Qingmei , Zhang Lei , Chen Yilu , Yu Jingmou , Chen Pu , Sun Yong , Zheng Tao 
Published: July 2024

IntroductionAnimal waste proteins have been increasing in the past decade, along with consumer demands. Their huge volume and the environmental issues caused by improper treatment probably pose a massive threat to human health. These animal waste proteins contain many valuable bioactive peptides and can be used not only as nutrient substances but also as primary functional ingredients in many industries, including agriculture, food, and pharmaceuticals. However, the advancement of the value-added application of animal waste proteins within the past 10 years has not been elucidated yet. In this regard, this paper scrutinized the studies on the applications of hydrolysates and peptides from animal waste proteins throughout the last decade, hoping to display a whole picture of their value-adding applications.MethodsThe Web of Science and Google Scholar were searched from January 1, 2013, to December 12, 2023. This review included field trials, in vitro and in vivo assays, and in silico analysis based on literature surveys or proteolysis simulation. The quality of the included studies was evaluated by Journal Citation Reports, and the rationality of the discussion of studies included.ResultsNumerous studies were performed on the application potential of hydrolysates and peptides of animal waste proteins in agricultural, food, and medicinal industries. Particularly, due to the nutritional value, safety, and especially competitive effects, the peptide with antioxidant, antimicrobial, antihypertensive, antidiabetic, or antithrombotic activities can be used as a primary functional ingredient in food and pharmaceuticals.DiscussionThese value-added applications of animal waste proteins could be a step towards sustainable animal by-products management, and simultaneously, open new avenues in the rapid development of nutraceuticals and pharmaceuticals. However, further studies on the bioavailability and structure-activity relationship are required to verify their therapeutic effects.
Numerical Simulation of the Behavior of Caisson Based on Physical Modeling
Authors: Huang Sifen , Han Yuwei , Li Shuyi , Zhou Mi 
Published: July 2024

Stiffened caissons are a new kind of offshore platform foundation which has been widely used in recent years. Stiffeners are employed to avoid buckling during the installation process. However, they also create a significant challenge in terms of understating the soil-flow patterns and corresponding installation resistance prediction. Although centrifuge and in situ tests can simulate the caisson installation process very well, their high costs prevent their widespread application. Model tests have been widely used in research on caisson behavior during installation, as they are convenient and cost less compared to centrifuge and prototype tests. However, the quantitative conclusions of the resulting predictions of installation resistance have some uncertainties because it is quite hard to strictly follow the similarity principle in 1 g model tests. Therefore, it is important to establish a method to calibrate the data from model tests, providing better estimates of caisson behavior in field tests. In our research, large deformation finite element (LDFE) analyses were conducted to provide insights into differences in the outcomes of caisson installation approaches between prototype tests and 1 g model tests. Prior to carrying out parametric studies, validations were conducted with good results. The results show that normalized soil strength significantly influences the behavior of caissons of various dimensions in 1 g model tests. In uniform clay, caissons exhibit consistent installation behavior; otherwise, they show significant differences. Based on systematic research, this paper reveals the mechanisms of the difference between model tests and prototype tests with different sizes of caissons and identifies the factors influencing these differences.
Identification of Complex Multi-Vessel Encounter Scenarios and Collision Avoidance Decision Modeling for MASSs
Authors: Lyu Hongguang , Ma Xiaoru , Tan Guifu , Yin Yong , Sun Xiaofeng , Zhang Lunping , Kang Xikai , Song Jian 
Published: July 2024

Complex multi-vessel encounter situations are a challenging problem for ships to avoid collisions, and the International Regulations for Preventing Collision at Sea, 1972 (COLREGs) do not provide a clear delineation of multi-vessel encounter situations and the responsibility of collision avoidance (CA). Furthermore, Marine Autonomous Surface Ships (MASS), which realize autonomous navigation functions, face the problem of recognizing complex multi-ship encounter situations and the corresponding CA decisions. In this study, we adopt the velocity obstacle (VO) algorithm to visualize and identify the danger of multi-ship encounters with the own ship (OS) as the first viewpoint. Additionally, we consider the motion changes in target ships (TSs) and their possible CA behaviors as the basis of the ship’s CA decision-making. According to COLREGs, a simplified method for classifying the encounter situations of multiple clustered ships is proposed, considering the coupling of collision hazards and CA responsibilities between related TSs. On this basis, the corresponding CA decisions for each classified situation are proposed, and a large number of simulation experiments are conducted based on the proposed method by considering the three-ship and four-ship encounter model in the Imazu problem as an example. The experimental results indicate that the proposed method can effectively recognize the complex multi-ship encounter situation in the Imazu problem, and it can adjust the CA measures of the OS in time according to the COLREGs and the behavior of TSs. This provides the basis and reference for MASS when facing complex multi-ship encounter situations.
Pemanfaatan Media Sosial Dalam Pengembangan Usaha Kuliner Midal Tanta One Di Paslaten Satu Kecamatan Tomohon Timur
Authors: Rumimper Zefanya Arnold Tarkinio , Rori Yolanda P. I. , Tambas Jane Sulinda 
Published: July 2024

This study aims to describe the utilization of social media on Midal Tanta One's culinary business in Paslaten One Village, East Tomohon District. This research was conducted from July to September. The data collection method is to use interviews and documentation methods. The data collected in this study are primary data obtained from direct interviews with respondents through questionnaires or questionnaires and secondary data in the form of other information related to this research through literature studies. provides various options for people to enjoy information, with the utilization of social media in the development of midal tanta one culinary business can increase consumers in culinary businesses. The presence of technology certainly brings good changes in the efficiency of the culinary business, because the use of this technology makes it easier for people to sell and buy food and drinks more easily and faster.
Analysis of hot carrier instability in a floating body cell
Authors: Nakajima Hiroomi , Shino Tomoaki , Furuhashi Hironobu , Nishimura Jun , Higashi Tomoki , Fujita Katsuyuki , Hatsuda Kosuke , Fukuda Ryo , Kajiyama Takeshi 
Published: July 2024

Abstract
Hot carrier instability (HCI) in a floating body cell (FBC) has been investigated. The FBC is a dynamic random-access memory (DRAM) made entirely of a silicon-on-insulator (SOI)-MOS without a capacitor. For FBC realization, there is an influence of a physical phenomenon different from the normal MOS because of its structural and operational characteristics of SOI-MOS. The difference between bulk and SOI-MOS is not yet clear, especially for HCI. In this study, we clarified the importance of the structural and geometrical factors of the FBC cell transistor and the SOI-specific floating body effect in the HCI regime of FBCs.
RESPON PESERTA DIDIK TERHADAP LKPD BERBASIS ETNOMATEMATIKA PADA MATERI BANGUN RUANG
Authors: Fitriasih Eka Destareiza  , Nuryadi  , Supriyanti  
Published: July 2024

Penelitian ini bertujuan untuk mengidentifikasi tanggapan peserta didik terhadap LKPD yang berbasis etnomatematika dalam pembelajaran matematika pada topik bangun ruang. Metode penelitian yang digunakan adalah deskriptif kuantitatif, yang bertujuan untuk mengevaluasi kepraktisan LKPD berbasis etnomatematika. Populasi dalam penelitian ini yaitu peserta didik kelas VII SMP Negeri 1 Sedayu dengan sampel penelitian ini adalah 16 peserta didik kelas VIID dan 32 peserta didik kelas VIIE SMP Negeri 1 Sedayu. Instrumen yang digunakan yaitu LKPD berbasis Etnomatematika dan lembar angket respon peserta didik. Teknik analisis data yang digunakan yaitu menggunakan model Miles & Huberman. Berdasarkan hasil analisis kepraktisan, LKPD berbasis Etnomatematika dikatakan praktis ketika rata-rata dari skor penilaian memenuhi kriteria dengan minimal praktis. Dapat disimpulkan bahwa penggunaan LKPD berbasis Etnomatematika yang memuat indikator kemampuan pemecahan masalah pada materi bangun ruang pada uji coba skala kecil menunjukkan kriteria sangat praktis dengan skor rata-rata 75,18, kemudian pada uji coba skala besar dikatakan sangat praktis berdasarkan rata-rata 74,25. Sehingga dapat disimpulkan bahwa penggunaan LKPD berbasis Etnomatematika untuk materi bangun ruang efektif dalam konteks pembelajaran matematika.
Kata Kunci: LKPD, etnomatematika
الثنائيات الضدية بين البناء الفني والذوق الجمالي (الحِكم القصار في نهج البلاغة اختياراً)
Authors: العرداوي أ.م. د مرتضى شناوة فاهم 
Published: July 2024

تعد الحِكم القصار بمثابة منبهات مقروءة غايتها ايصال فكرة معينة إلى المتلقي لتحقيق الاقناع، فقد قام الإمام ع باتباع استراتيجية معينة للتأثير بالجمهور و استمالتهم إليه، بطريقة بنائية خاصة عبر تقنية التضاد المكثّف، يسعى هذا البحث إلى استكشاف المتتاليات التضادية التي ركّز عليها الإمام علي(ع) في إيصال متبنياته الفكرية إلى الناس، و معرفة الأثر الجمالي لها في نفس المتلقي، وقد جرت طريقة البحث على عرض النصوص وتحليلها ضمن الطرق البنائية الفنية للوصول إلى المقاصد الدلالية التي كان الإمام ع يسعى اليها، وكذلك بيان الأثر الجمالي له.
Efecto de Cinco Plantas del Género Urtica sobre el Crecimiento de Bacterias de Importancia Clinica
Authors: Velasco Lezama Rodolfo , Herrera Solís Sara Beatriz , Tapia Aguilar Rafaela , Ramírez Calvo Janeth , Cerón Ramírez Reyna , Santana Carrillo Jorge 
Published: July 2024

Urtica dioica, Urtica urens y Urtica mexicana, son similares morfológicamente y son comercializadas como la misma planta pero se desconocen las propiedades antibacterians de U, mexicana. Se evaluó actividad antibacteriana de estas plantas y de U. dioica L variedad Angustifolia, comparándola con la de Urtica dioica L. Las plantas se colectaron en en el Estado de México, la variedad Angustifolia fue adquirida en el mercado. Las hojas secas se molieron y maceraron 48 h en; Hexano, diclorometano, metanol y agua. Se determinó la concentración mínima inhibitoria (CMI) mediante el método de Resazurina empleando las bacterias: Shigella flexneri, Salmonella typhi, Escherichia coli, Bacillus subtilis y Staphylococcus aureus. Diluciones de de los extractoas de 5 a 0.03 mg/mL se adicionaron a placas que contenían 5X106 UFC/mL-resazurina-medio Mueller-Hinton. Cada extracto se probó al meno en cinco ocasiones. Los extractos de U. urens presentaron la CMI más baja (0.03 mg/mL) sobre B. subtilis. Adicionalmente, inhibieron a S. flexneri, S. typhi y S. aureus (0.15 a 5 mg/mL). U. Mexicana, los extractos hexánico, diclorometánico y metanólico inhibieron a B. subtilis y E. coli con 0.31 a 5 mg/mL. U. mexicana presentó mayor espectro de actividad. Los resultados respaldan el uso de la planta contra infecciones-gastrointestinales.
Analyzing the causal relationship between exchange rate and international tourism in Vietnam
Authors: Le Nu Minh Phuong , Tran Doan Thanh Thanh 
Published: July 2024

The impact of tourism on exchange rates, and vice versa, varies from country to country. This study empirically explores the causal relationship between exchange rates and international tourism in Vietnam. To examine this relationship, data on real exchange rates, foreign tourist arrivals, and real tourism revenue were extracted from the general statistical yearbook from 2000 to 2019. This paper explicitly highlights how exchange rates impact tourism under a government-controlled exchange rate regime. The results indicate a weak unidirectional causal relationship between foreign tourist arrival and real exchange rates. An increase in the real exchange rate increases short-term income but has a negative impact on long-term tourism revenue, while an increase in real tourism revenue reduces the real exchange rate in the short run but is stable in the long run. The research supports the perspective that maintaining a stable exchange rate attracts international tourists in the long term. Based on these findings, the Vietnamese government should adopt a cautious approach to price stabilization policies and encourage export-oriented industries to attract international tourists and promote tourism.
Trojan Globular Clusters: Radial Migration via Trapping in Bar Resonances
Authors: Dillamore Adam M. , Monty Stephanie , Belokurov Vasily , Evans N. Wyn 
Published: July 2024

Abstract
We search for globular clusters (GCs) trapped in resonances with the bar of the Milky Way (MW). By integrating their orbits in a potential with a decelerating bar, we select 10 whose orbits are significantly changed by its presence. Most of these are trapped in the corotation resonance, including M22 and 47 Tuc. The decelerating bar is capable of transporting these GCs to their current positions from much lower energies, angular momenta, and radii. Our results indicate that the bar is likely to have reshaped the MW’s GC system via its resonances. We also discuss implications for the origins of specific GCs, including the possible nuclear star cluster M22. Finally, we consider the effects of the bar on the tidal tails of a trapped GC by running simulations of stars stripped from 47 Tuc. Instead of forming narrow tails, the stripped stars make up a diffuse extended halo around the cluster, consistent with observations of 47 Tuc.
Bumpy Superluminous Supernovae Powered by a Magnetar–Star Binary Engine
Authors: Zhu Jin-Ping , Liu Liang-Duan , Yu Yun-Wei , Mandel Ilya , Hirai Ryosuke , Zhang Bing , Chen Aming 
Published: July 2024

Abstract
Wolf–Rayet stars in close binary systems can be tidally spun up by their companions, potentially leaving behind fast-spinning, highly magnetized neutron stars, known as “magnetars,” after core collapse. These newborn magnetars can transfer rotational energy into heating and accelerating the ejecta, producing hydrogen-poor superluminous supernovae (SLSNe). In this Letter, we propose that the magnetar wind of the newborn magnetar could significantly evaporate its companion star, typically a main-sequence or helium star, if the binary system is not disrupted by the abrupt mass loss and supernova (SN) kick. The subsequent heating and acceleration of the evaporated star material along with the SN ejecta by the magnetar wind can produce a postpeak bump in the SLSN lightcurve. Our model can reproduce the primary peaks and postpeak bumps of four example observed multiband SLSN lightcurves, revealing that the mass of the evaporated material could be ∼0.4–0.6 M
⊙ if the material is hydrogen-rich. We propose that the magnetar could induce strongly enhanced evaporation from its companion star near the pericenter if the orbit of the post-SN binary is highly eccentric, ultimately generating multiple postpeak bumps in the SLSN lightcurves. This “magnetar–star binary engine” model may offer a possible explanation for the evolution of polarization, along with the origin and velocity broadening of late-time hydrogen or helium broad spectral features observed in some bumpy SLSNe. The diversity in the lightcurves and spectra of SLSNe may be attributed to the wide variety of companion stars and post-SN binary systems.