bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Effect of Novel Coronavirus 2019 (Covid-19) Spreading Toward Sharia Stock Market in Indonesia
Authors: Rachmat Sunjoto Arie , Umam Khoirul , Huda Miftahul , Maisaroh Aribah Shafira 
Published: December 2024

The purpose of this research is to identify and analyze the influence of the spread of Novel Coronavirus 2019 (Covid-19), the policies of Indonesian Government during pandemic (i.e. work from home, large-scale social restrictions (PSBB) and community activities restriction enforcement (PPKM), the movement of FTSE 100 and Nasdaq Composite indexes on Islamic stock market in Indonesia (represented by the Indonesian Sharia Stock Index). This study utilizes the Vector Error Correction Model (VECM), Impulse Response Function (IRF), and Forecast Error Correction Model (FEVD) approach, with the range data from September 2019 to November 2022. The results of this research indicates that the VECM test showed that Covid-19 case in Indonesia and the movement of FTSE 100 had a significant positive effect on ISSI in the long term. Meanwhile, in the short term, Covid-19 case in Indonesia and government policies have had a significant negative effect on ISSI. In the IRF test, this shows that the Covid-19 case in Indonesia and government policies during pandemic have had a significant negative effect on ISSI. Conversely, the movement of the FTSE 100 and Nasdaq Composite Index has a significant positive effect on ISSI. In the FEVD test, it can be seen that the biggest contribution to ISSI shock movement was the shock itself of 85.24% and was followed by government policies, the Covid-19 case, FTSE 100 and Nasdaq. This investigation use three variables in order to search the effect of these factors on the movement of sharia stock market in Indonesia. The stock market represented by Indonesian Sharia Stock Index (ISSI).
Unravelling the Impact of Changing Rainy Seasons on Rice Production in Southeast Asia: A Climate Change High-resolution Perspective
Authors: Hariadi Mugni Hadi , Sutanto Samuel Jonson , Schrier Gerard van der , Supit Iwan , Ratri Dian Nur , Steeneveld Gert-Jan , Sopaheluwakan Ardhasena , Tank Albert Klein 
Published: December 2024

Abstract

Southeast Asia is a major contributor to global rice production. Yet, this production is increasingly threatened by climate change, particularly by changes in the rainy season. In this study, We examine the impact of shifts in seasonal cumulative rainfall and characteristics of the rainy season on rice production across Southeast Asia. To achieve this, we utilize the framework of the High-Resolution Model Intercomparison Project (HighResMIP) in conjunction with rice production estimates from the World Food Studies (WOFOST) crop model.
Our findings reveal a trend towards drier conditions during the dry season across the region.
A decrease in cumulative rainfall is observed during December-January-February in mainland Southeast Asia and the Philippines, with rainfall reductions reaching up to 33\% and 15\% in certain areas, respectively.
In Indonesia, a decrease in rainfall during the June-July-August period was observed across the majority of the region, with some areas experiencing a decrease of up to 48\%.
This trend is also accompanied by delays in the onset of the rainy season and a reduction in its duration across most of the region.
A significant reduction in the rainy season duration, up to 27 days, was found over the southern Philippines, where delays in the onset of the season are followed by an early cessation.
The changes in rainfall patterns negatively impact rainfed rice production. Increased rainfall during the second growing season (GS-2) in certain areas of Mainland Southeast Asia and the Philippines enhances rice yields, while reduced rainfall during GS-1 and GS-3 in Java reduces yields. The most substantial effects are observed during GS-3 in Java, with a substantial decrease in yield attributed to reduced rainfall and a shorter rainy season.
In addition, rice irrigation simulations indicate that rising temperatures will shorten the growing season, consequently resulting in lower yields.
Effective adaptation strategies are crucial to mitigate the decline in rice production. Our analysis suggests that a simple adaptation measure, such as shifting from the C3 photosynthesis type to the C4 photosynthesis crop, may not suffice. Additionally, enhancing and refining agricultural systems is needed to bridge potential yield gaps, emerging as a recommended approach.
Larger-than-Memory Stateful Stream Processing with WindFlow
Authors: Frassinelli Simone , Mencagli Gabriele 
Published: December 2024

Abstract

In the stream processing paradigm, a huge volume of data is continu- ously processed by standing queries that extract insights from raw inputs. Such queries often keep an internal state (representing useful information of the stream history) to produce results. Examples of state paradigms are notably sliding win- dows, where computation is periodically repeated over the last received data (e.g., inputs received in the last ten seconds sliding every half a second). Furthermore, such a state is replicated per distinct key, which is a user-defined attribute used to partition the same physical stream into logical sub-streams. The combination of several keys (often millions in real-world scenarios), and the window size, make the overall state of a streaming query huge and potentially greater than the avail- able memory. This is particularly critical in small low-end devices where stream analyses might be run to analyze data closer to data producers, like in the Edge computing paradigm. In this paper, we focus on this problem and on how a popu- lar Key-Value Store (KVS) can be integrated into the WindFlow stream processing library. The idea is to design a new set of persistent operators able to transpar- ently move state objects in secondary memory without manual user intervention. The paper shows our design and implementation, and an experimental evaluation based on a set of benchmarks.
Using the cardinal temperature approach to determine the potential distribution of Inga jinicuil in Mexico under climate change scenarios
Authors: Sampayo-Maldonado Salvador , Cabrera-Santos Daniel , Dávila-Aranda Patricia , Rodríguez-Arévalo Norma Isela , Orozco-Segovia Alma , Gianella Maraeva , Bell Elizabeth , Way Michael , Manson Robert H. , Quintas Gabina S. , Flores-Ortíz Cesar M. , Ulian Tiziana 
Published: December 2024

Abstract

Inga jinicuil is used extensively in shade coffee farms in Mexico, a diversified agroforestry system providing important environmental goods and services. However, its recalcitrant seeds represent an important barrier to its propagation. The objective of the study was to determine the cardinal germination temperatures for I. jinicuil using linear and non-linear models, as well as the species’ potential distribution under contrasting climate change scenarios using the GISS-E2-1-G model. Seeds were placed in germination chambers at constant temperatures of 5 ± 2 to 40 ± 2°C, and their thermal responses were then modelled using a thermal timing approach. Results indicated a good fit of models of I. jinicuil germination in response to temperature. Seeds germinated across a wide temperature range from 4.8 to 49.2°C, with an optimal temperature between 29.58 and 33.02°C. The suboptimal thermal time (𝜃1(50)) for germination of 50% of the seed lot was 117.164 ± 0.636 Cd, which under current climatic conditions is reached in 6.6 days. According to climate modeling, the distribution of I. jinicuil populations will decrease by up to 23% in the future relative to the current distribution. Results indicate that high temperatures have a negative effect on germination, which may be related to seed physiology. More research on seed germination and growth is needed to improve the management and conservation of this species and its continued use as a shade tree in coffee agroforestry systems.
A Universal Defense Strategy Against Adversarial Attacks Based on Attention-Guided
Authors: Zhao Jiawei , Xie Lizhe , Zhang Yuning , Gu Siqi , Wang Zheng , Hu Yining 
Published: December 2024

Abstract

Deep Neural Networks (DNNs) have been shown to be vulnerable to adversarial examples. The existence of adversarial examples significantly hinders the development of deep learning technologies in domains with high-security requirements. However, current defense methods often lack universality, being effective only against specific adversarial attacks. This study focuses on analyzing adversarial examples through changes in model attention, classifying attack algorithms into attention-shifting and attention-attenuation categories. To counter attention-shifting attacks, a defense module named Feature Pyramid-based Attention Space-guided (FPAS) is proposed, which spatially retracts the shifting attention in adversarial examples, thereby enhancing the model's overall defense capability. Attention-based Non-Local (ANL) is a proposed defense module to counter attention-attenuation attacks. This module enhances the model's focus on critical features, efficiently constructing a robust defense model with low implementation cost and minimal intrusion into the original model. By integrating FPAS and ANL into the Wide-ResNet model within a boosting framework, the study demonstrates their synergistic defense capability. Even with eight adversarial samples embedded with adversarial patches, our FPAS_at and ANL_at models demonstrated significant improvements over the baseline, enhancing the average defense rate by 5.47% and 7.74%, respectively. Extensive experiments confirm that this universal defense strategy offers comprehensive protection against adversarial attacks at a lower implementation cost compared to current mainstream defense methods, while also being adaptable for integration with existing defense strategies to further enhance adversarial robustness.
OsMYB1 antagonizes OsSPL14 to mediate rice resistance to brown planthopper and Xanthomonas oryzae pv. oryzae
Authors: Sun Bo , Zhong Yuan , Tao Zhihuan , Zhu Lin , Miao Xuexia , Shi Zhenying , Li Haichao 
Published: December 2024

Abstract

In their natural habitats, plants are concurrently attacked by different biotic factors. Xanthomonas oryzae pv. oryzae (Xoo) is a pathogen that severely deteriorates rice yield and quality, and brown planthopper (BPH; Nilaparvata lugens) is a rice specific insect pest with the damage topping other pathogens. Although genes for respective resistance to BPH and Xoo have been widely reported, few studies pay attention to simultaneous resistance to both. In this study, we identified a MYB transcription factor, OsMYB1, which exhibited diverse transcriptional regulatory capabilities and a negative regulatory role in resistance to both BPH and Xoo. Biochemical and genetic analysis proved OsMYB1 to be a TF that could interact with OsSPL14, a positive regulator of rice resistance to Xoo. OsSPL14 mutants showed increased sensitivity to BPH, suggesting that OsSPL14 is contrary to OsMYB1in regulating rice resistance to these two biotic stresses. Consistently, OsMYB1 and OsSPL14 displayed opposite functions in regulating defense-related genes. OsMYB1 can form transcription regulation complexes with repressor OsJAZs instead of co-repressor TOPLESS to possibly realize its transcriptional repression function. Taken together, we concluded that two interacting TFs in rice, OsMYB1 and OsSPL14, played antagonistic roles in regulating resistance to BPH and Xoo.
Isotope variations in precipitation and environmental drivers in Anshun during strong El Niño events
Authors: Ni Ju , Zhu Dayun , Wang Jialu , Li Ronghan , Han Yurong 
Published: December 2024

Abstract

Extreme weather triggered by El Niño events poses a serious threat to the economy and society. 2015 was one of the years with the highest average global temperatures since the El Niño event was recorded. During this period, many parts of the globe experienced frequent extreme weather events. Isotope values in precipitation are important for understanding extreme climates. Therefore, in this work, 140 stable isotope data from precipitation events in the Anshun area from 2015–2016 (including El Niño and La Niña events) were combined with related meteorological data to analyze the characteristics of hydrogen and oxygen isotopes in atmospheric precipitation, as well as their relationships with precipitation, temperature, and atmospheric circulation. The results show that ① the equations of the atmospheric precipitation lines in the study area are δD=8.70δ18O+19.55 (El Niño period) and δD=8.60δ18O+17.23 (La Niña period), which indicate that the atmospheric precipitation in the El Niño period was affected mainly by oceanic water vapor and that there was an imbalance of isotopes in atmospheric precipitation during the La Niña period, with the phenomenon of secondary evaporation. ② isotopes show seasonal variations that are high in the dry seasons and low in the rainy seasons, which are due mainly to the differences in water vapor sources and air mass properties of precipitation in different seasons. ③ The correlation between δ18O and temperature and precipitation in atmospheric precipitation in the study area is not significant, but the correlation can respond sensitively to changes in the ENSO.
The use of maoto (Ma-Huang-Tang) in influenza-infected patients and prevention of hospitalization: a cohort study using prescription data in Okayama, Japan
Authors: Matsuki Nobuyoshi , Mitsuhashi Toshiharu , Matsumoto Naomi , Hayase Shunsaku , Fujimoto Kenji , Yorifuji Takashi 
Published: December 2024

Abstract

Background
“Maoto” (Ma-Huang-Tang) is a traditional Japanese Kampo medicine used to treat influenza infections. However, few studies have been conducted on maoto’s ability to prevent severe influenza illness, and previous studies have been unable to determine its effect when used alone or in different age groups. This study aims to evaluate the effect on the prevention of hospitalization associated with severe illness of administering maoto alone to influenza-infected patients.
Methods
We used data from patients on the National Health Insurance Database in Okayama Prefecture, Japan, who were diagnosed with influenza between August 2018 and March 2022. The use of maoto was defined as within one month of the diagnosis of influenza. Hospitalization was defined as within one month of the diagnosis of influenza. We used logistic regression analysis to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for hospitalization among patients using maoto, incorporating an inverse probability weighting method.
Results
The study included data from 49,311 individuals. Of these, 1805 (3.7%) patients were treated with maoto and 944 (1.4%) were hospitalized within one month of influenza diagnosis. The OR of hospitalization to maoto use was 0.76 (95% CI, 0.50–1.15) in the adjusted model. Subgroup analysis showed that the OR was smaller for patients under 60 years of age. The OR for the interaction between maoto and neuraminidase inhibitors was 1.95 (95% CI, 0.64–5.93).
Conclusions
Our analysis of prescription data in Okayama suggests that administration of maoto to influenza-infected patients is effective in preventing hospitalization. The effect was more pronounced in patients under 60 years of age.
Seismic Fragility Analysis of a Three-story Cross-laminated Timber Building Considering Near and Far Field Ground Motions
Authors: Javidi Saeid , Gavric' Igor , Fourlaris Georgios , Salami Mohammad Reza 
Published: December 2024

Abstract

This paper investigates the seismic response of the three-story Cross-Laminated Timber (CLT) building of the SOFIE project subjected to the Near-Field (NF) Far-Field (FF) ground motions according to FEMA P-695. The numerical models have been developed in connector, wall and full-scale building levels in OpenSees. Nonlinear zero-length springs have been utilised to model the behaviour of CLT connectors while considering Gap joints only to transfer compression forces between panels and the rigid foundation without the ability to carry tensile forces. The CLT panels have been modelled as moment-resisting frames by applying elastic beam elements with high stiffness. The panel-to-panel and panel-to-foundation friction has also been considered by modifying the initial stiffness of the CLT connector springs. The building was analysed using Incremental Dynamic Analysis (IDA), including 2450 time-history simulations, to assess its behaviour during ground motions. Significant Damage (SD) and Near-Collapse (NC) damage stated have been identified for the building based on EN12512 standard through Modal Push-over Analysis (MPA). Subsequently, the fragility curves have been developed for the CLT building under NF and FF ground motions. The IDA curves prove that the CLT building considered in this paper is more affected by Near-Field Pulse-like (NF-P) than by Near-Field No-Pulse (NF-NP) and FF ground motions. Moreover, the modelled building is significantly more affected by NF-P ground motions than by NF-NP and FF motions, with a higher probability of collapse under NF-P conditions.
Relationship between self-rated health, sense of coherence and physical activity in a survey of secondary school students
Authors: Karácsony Ilona , Hideg-Fehér Gabriella 
Published: December 2024

Abstract

Introduction:
The aim of the present research was to assess the physical activity of secondary school students and to understand its effect on subjective general health, vitality and mental health. As a sense of coherence can help in the choice of preventive behaviours, this study also examined the relationship between students’ sense of coherence and physical activity.
Methods
A quantitative cross-sectional study was conducted among adolescents aged 15–19 years attending a full-time secondary school in Western Transdanubia, Hungary. The paper-based questionnaire included self-reported questions on physical activity in addition to socio-demographic variables, while the standardised instrument measured dimensions of subjective health (Health Thermometer - EuroQol scale, EQ VAS, Health Survey Short Form SF-36 Questionnaire) and Sense of Coherence (SOC 13). The 448 evaluable responses were analysed using SPSS Statistics 22 software with the Kolmogorov-Smirnov test, Mann-Whitney test, Kruskal-Wallis test, t-test and ANOVA test (p < 0.05).
Results
67.79% of the respondents were female, and the majority of the sample (69.87%) lived in a full family. The amount of physical activity was adequate for 22.2% of respondents and nearly adequate for 29%, while 64.1% of the sample were in the adequate category for the quality of physical activity. Regular physical activity had a positive effect on self-reported health perception (p < 0.05). The mean scores for mental health, vitality and general health perception were significantly higher among students who were adequately or nearly adequately physically active (p < 0.05). A positive correlation was found between sense of coherence and frequency of physical activity (p < 0.05). The means of the self-reported health indicators and the sense of coherence were almost identical between the groups (p > 0.05).
Discussion
The overall results for physical activity in the study sample are not optimal. By increasing the sense of coherence – providing models, increasing knowledge, creating a supportive environment for physical activity – it is possible to enhance the choice to engage in regular physical activity, and make the right choices for the individual in different life situations, thus increasing the health-promoting effect of physical activity on self-reported health.
Systematic characterization of the composition and dynamics of processing body-associated mRNAs
Authors: Chen Wei , Sun Zhiyuan , Wen Xiaozhen , Li Yanping , Xie Xiaoxin , Dong Peng , Shu Yi , Tian Shuye , Yang Jiao , Lin Yangfan , Wang Mengran , Jiang Feifei , Zhu Qionghua , Cui Huanhuan , Zhai Jixian , Hu Yuhui , Fang Liang 
Published: December 2024

Abstract

Processing bodies (PBs) are dynamic, membraneless organelles consisting of RNAs and proteins. While PB proteins have been extensively characterized, the methods for systematically profiling PB-associated RNAs are limited. To address this, we developed PB-TRIBE-STAMP, a new tool based on two orthogonal RNA editing enzymes. Simultaneously applying APOBEC1-DDX6 and LSM14A-ADAR2dd, PB-TRIBE-STAMP identified 1,639 and 2,577 PB-associated mRNAs in HCT116 and HEK293T cells, respectively. Further genetic perturbation demonstrated that these transcripts were translationally repressed by PBs. Integration of PB-TRIBE-STAMP with long-read sequencing revealed that the PB-associated transcripts possessed shorter poly(A)-tails. Moreover, we established a TRIBE-ID-based tool to characterize the mRNA-PB association at high temporal resolution and unveiled a higher splicing efficiency of PB-associated XBP1 transcripts during unfolded protein response (UPR). Finally, based on single-cell LSM14A-TRIBE-ID (sc-LSM14A-TRIBE-ID), we demonstrated the dynamic pattern of mRNA-PB association during cell cycle progression.
Dynamic Calculation and Seismic Response Analysis of Inclined Ancient Tower Based on Finite Element Modeling
Authors: yan feifei , zhang Jingke , Zhang Lixiang , Xu Hongsheng , Wang Nan , yan Changgen 
Published: December 2024

Abstract

The inclination of the tower body significantly enhances its vulnerability during seismic conditions, When combined with material degradation and external loading, the ancient tower becomes more susceptible to damage compared to standard structures. This study develops a refined three-dimensional numerical model and applies seismic waves of varying intensities to systematically analyze the dynamic response of the tilted tower under three types of seismic waves. The study clarifies the distribution characteristics of principal tensile stress and identifies seismic weak zones, enabling an assessment of the tower's seismic performance and damage state. The results indicate that the seismic response of the upper layer of the tilted tower exceeds that of the original model. Specifically, under the influence of the El Centro wave, Dingxi-Minxian wave, and Lanzhou artificial wave (with a PGA of 0.6), the acceleration response increased by 22%, 28%, and 13% horizontally, and 24%, 22%, and 11% vertically, respectively, compared to the original tower. The displacement response also increased by 1.2 mm, 1.7 mm, and 0.4 mm horizontally, and by 0.1 mm, 0.1 mm, and 0.04 mm vertically. The acceleration amplification coefficient curves exhibited a "C"-shaped profile, with the most significant horizontal acceleration amplification at the tower's summit and vertical amplification at its base. The primary tensile stress distribution follows a similar trend, peaking at the niches, eaves, and the top and bottom of the tower. Notably, the greatest stiffness degradation occurred at the tower's apex under the Dingxi-Minxian wave, resulting in the lowest earthquake resistance. The acceleration amplification for small earthquakes (PGA = 0.2) is 1 to 1.5 times that for medium (PGA = 0.4) and large earthquakes (PGA = 0.6). Damage begins within 2–3 seconds of seismic loading, with damage factors increasing stepwise from small (0.12) to medium (0.37) and large quakes (0.9). Ultimately, the inclined tower transitions from the elastic to the plastic damage stage. This research identifies potential risks and vulnerabilities in similar structural designs, providing valuable insights for the seismic response analysis of inclined brick towers.