bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insect-resistance test of Sitophilus zeamais Motschulsky (Coleoptera: Curculionidae) on several maize hybrid lines
Authors: Tenrirawe A , Sebayang A , Rahman A A , Bahtiar  , Yasin M 
Published: June 2023

Abstract
To reduce the loss because of pest attacks, it is important to select a maize hybrid line resistant to Sitophilus zeamais Motschulsky (maize weevil). This strategy can reduce seed damage during preservation and is safe for the environment. Therefore, the research was conducted to screen the germplasm resistance of maize against the attack of the powdery mildew S. zeamais. Maize strain resistance testing against S. zeamais was carried out in 2018 by testing 30 genetic materials of corn germplasm then the entry was stored in a freezer for 2 weeks which aims to kill warehouse insect pests from the field. Of the thirty accessions/lines of maize germplasm that were tested for resistance to the S. zeamais attack, there were twelve accessions/entries which showed high resistance, namely accession numbers/lines 48, 105, 228, 235, 237, 239, 273, 285, 290, 301, 342, 375. This resilience can be seen in the vulnerability index and the number of F1 progenies S. zeamais produced. The susceptibility index ranged from 0.9 to 3.6 and the number of F1 S. zeamais progeny ranged from 1.5 to 3.5 individuals. The methods and results of this study are useful before the release of the variety to the public.
After 25 years of reclamation project, Fabaceae family in forest succession of the tailing area
Authors: Sinaga N I , Wanma J F , Benu N M H , Douw Y , Sinaga T , Sarwom R 
Published: June 2023

Abstract
Since 1995, PT Freeport Indonesia has been building forest succession in its tailing area. The first vascular plants were ferns. The spermatophyte species, especially grass, were coming later. In 2005, grassland covered all permanent plots, except a few small trees from pioneer species. The Family Fabaceae was one of the plant groups found in the area, with 12 species. Over 15 years later, the grassland area has vanished, replaced by secondary forest. The composition of plants is changing, including the Fabaceae family. In 2021, researchers will investigate what the species is and how it contributed to the succession. The method of the study is a descriptive method with both survey and analysis vegetation techniques using plot samples. About 25 plots were put in every location, including seedling, sapling, pole, and tree plots. The location was about 12 areas in the natural succession forest of the tailing area. The results show that about 25 genera and 40 species under the Fabaceae family occur in the area. The Fabaceae family is a unique species that brings fertilization conditions to plants.
Social vulnerability toward tsunami hazard in the coastal area of Bayah Dome Geopark, in Lebak Regency, Banten Province
Authors: Prihartanto  , Akhirianto N A , Trisnafiah S , Ghifari B F , Ganesha D , Yuvhendmindo M R , Ainunnisa F 
Published: June 2023

Abstract
The prominent character of geodiversity, biodiversity, and cultural diversity in Bayah Dome coastal has encouraged the Lebak Regency government to promote Bayah Dome Geopark (BDG) in 2020. On the other side, the potential hazards of an earthquake and tsunami originating from the subduction zone on the south coast of the BDG will increase the vulnerability of the community. This study aims to develop a social vulnerability model for the tsunami disaster in the BDG area based on the population potentially exposed to the disaster and the vulnerable group’s ratio parameters. This research was conducted in six sub-districts in the southern part of the BDG coastal area. The results show the Bayah and Malingping sub-districts have the highest level of social vulnerability. Bayah District in 2019 was the highest with a score of 2.0, this was due to the high number of tourist visitors. Meanwhile, Wanasalam, Cilograng, Panggarangan, and Cihara have low social vulnerability classes with a score of 1.4. Therefore, it is recommended to prioritize social intervention for Bayah and Malingping sub-districts to upgrade community capacity for tsunami hazards.
The area of flood run-off with HEC-RAS modeling in Cabang Dua River, Manokwari Regency, West Papua Province
Authors: Padila A , Wanggai C B , Kesaulija F F , Sadsoeitoeboen B M G 
Published: June 2023

Abstract
Wosi watershed is one of the watersheds with a Classification Restored Carrying capacity, and it is also indicated to have decreased hydrological function. this study aims to find out the extent of the flood discharge plan/peak runoff (m3/s) and plan/peak of the flood affected (ha). This research was conducted in 3 months (September - November 2020). The observed object is Cabang Dua river Wosi, in Manokwari, West Papua. The data of the research results are analyzed descriptively quantitatively with the technique of interpretation and analysis of maps. The results showed the value of flood discharge plan on repeat 2, 5, 10, 25, 50, 100 years respectively are 89.05 m3/s, 118.50 m3/s, 128.46 m3/s, 135.01 m3/s, 137.57 m3/s, and 138.94 m3/s. It is known that Cabang Dua river is unable to accommodate the discharge and causes flooding at any time (2-100 years) with successive areas of 13.88 ha, 14.36 ha, 14.52 ha, 14.60 ha, 14.67 ha, and 14.71 ha.
Hydrometeorological hazard detection and warning for risk reduction in West Java, Indonesia
Authors: Tejakusuma I G , Sittadewi E H , Fitriani R 
Published: June 2023

Abstract
Climate-related disasters, including hydrometeorological disasters, have increased over the last decade, accounting for more than 90% of all-natural disasters in Indonesia. To reduce the risk of disaster, the hydrometeorological disaster must be mitigated. The research, carried out at Sukakerti and Tugumukti villages in West Java, aimed at assessing flash flood disaster conditions and designing hydrometeorological disaster early warning instrumentation for community preparedness. Sukakerti Village has a V-shaped river valley and winding primary and secondary forest morphology. Rainfall-caused landslides precede flash floods. Tugumukti village is characterized by undulating hills and is situated directly on a small river flowing from Mount Burangrang. The river that caused the flash flood is only a few tens of meters wide, but settlements have sprung up all around it. Drought affects agricultural activities during the dry season. Hydrometeorological early warning instrumentation for landslides, flash floods, and agricultural droughts comprises radio communication between field devices and routers and a remote data center. Humidity, temperature, solar radiation, wind speed and direction, rainfall, soil moisture, slope, and ground vibration are all sensors. A speaker on the router warns the public of a potential disaster. This technology outperforms GSM and satellite communications in terms of cost, operation, and maintenance.
Analysis of land conversion to economic growth: the case of other purpose areas
Authors: Harewan Y , Wurarah R N , Santoso B , Sabariah V 
Published: June 2023

Abstract
Land conversion is a shift in the function of a portion or all of the land area from its original use to another function that has an influence on the land’s potential. Land conversion in the Papua region is most common in other purpose areas (OPAs), which are allocated based on the neemoment’s needs. OPA management in sustaining life support systems may benefit the community and aid in environmental preservation. Growing economic activity has resulted in increased population settlements and pressure on land usage through land conversion. This study used a system dynamics model to examine changes in land conversion caused by the community’s dynamic economic and social activities. The simulated findings until 2040 demonstrate that land conversion contributes considerably to economic growth through land use for agriculture, settlement, industry, infrastructure, and commerce. Through the increased value obtained, this land usage benefits the population’s economy. The region, which does not have an OPA, tends to use the main forested areas to meet the community’s demand for farmland.
Stratified tissue biofabrication by rotational internal flow layer engineering
Authors: Holland Ian , Shu Wenmiao , Davies Jamie A 
Published: June 2023

Abstract
The bioassembly of layered tissue that closely mimics human histology presents challenges for tissue engineering. Existing bioprinting technologies lack the resolution and cell densities necessary to form the microscale cell-width layers commonly observed in stratified tissue, particularly when using low-viscosity hydrogels, such as collagen. Here we present rotational internal flow layer engineering (RIFLE), a novel, low-cost biofabrication technology for assembling tuneable, multi-layered tissue-like structures. Using high-speed rotating tubular moulds, small volumes of cell-laden liquids added to the inner surface were transitioned into thin layers and gelled, progressively building macroscale tubes composed of discrete microscale strata with thicknesses a function of rotational speed. Cell encapsulation enabled the patterning of high-density layers (108 cells ml−1) into heterogenous constructs. RIFLE versatility was demonstrated through tunica media assembly, encapsulating human smooth muscle cells in cell-width (12.5 µm) collagen layers. Such deposition of discrete microscale layers, facilitates the biofabrication of composite structures mimicking the nature of native stratified tissue. This enabling technology has the potential to allow researchers to economically create a range of representative layered tissue.
Characterization of the proximity to urban areas of the global energy potential of solar and wind energies
Authors: Silva Herran Diego , Ashina Shuichi 
Published: June 2023

Abstract
This study estimates the global energy potential of solar photovoltaics and onshore wind power and characterizes it with respect to the proximity to urban areas. Solar and wind power are centerpieces of a decarbonized energy system, and that different to other energy resources are disperse and widely available across the world. Therefore, characterizing how close or far these resources can improve the estimation of their availability. The analysis is based on a model using geo-referenced data and parameters related to the energy resources, technologies and land features. Results showed that the energy potential of solar (409 PWh yr−1) and wind (354 PWh yr−1) energies concentrates in the vicinity of urban areas, demonstrating the value of resources close to urban areas for covering current electricity needs. For example, current electricity consumption can be covered with high-grade solar resources (capacity factor >24%) within 30 km away from urban areas, or with middle-grade onshore wind resources (capacity factor >20%) within 20 km away from urban areas. Thus, it suggests that constraining the use of solar and wind energy in the proximity of urban areas due to social acceptability concerns, may significantly impact the deployment of high to mid-quality resources. The study is a starting point to evaluate the effect of restrictions and costs related to the proximity on the availability of renewable resources and their penetration in long-term decarbonization scenarios.
Area & power modeling for different tree topologies of parallel prefix adders
Authors: Gupta Tukur , Verma Gaurav , Akhter Shamim 
Published: June 2023

Abstract
Parallel prefix adder (PPA) being an indispensable component of processors needs prompt estimation of design metrics at the initial stage of design cycle. However, the available commercial tools take significant amount of time for the estimation process. The prior availability of area and power models can greatly reduce time-to-market. Symmetrical construction and quick computational ability of PPAs make them competent candidates for adder circuits in complex applications. This paper proposes area and power models for Field Programmable Gate Arrays (FPGA) implementation of classic PPAs, targeted to Xilinx Zynq-7000 family. The available literature barely presents parameters estimation and their analysis for PPAs. Therefore, modeling proposed in this paper is a novel work. PPA structures are simulated, synthesized and implemented using commercial tool i.e. VIVADO IDE. Models have been developed using curve fitting and validated against commercial tool. Results show an average estimation error ranging from 0.37% to 1.34% in case of area modeling and 0.23% to 0.59% in case of power modeling which are comparable with state of the art.
Magnetohydrodynamics with physics informed neural operators
Authors: Rosofsky Shawn G , Huerta E A 
Published: June 2023

Abstract
The modeling of multi-scale and multi-physics complex systems typically involves the use of scientific software that can optimally leverage extreme scale computing. Despite major developments in recent years, these simulations continue to be computationally intensive and time consuming. Here we explore the use of AI to accelerate the modeling of complex systems at a fraction of the computational cost of classical methods, and present the first application of physics informed neural operators (NOs) (PINOs) to model 2D incompressible magnetohydrodynamics (MHD) simulations. Our AI models incorporate tensor Fourier NOs as their backbone, which we implemented with the TensorLY package. Our results indicate that PINOs can accurately capture the physics of MHD simulations that describe laminar flows with Reynolds numbers

Re
⩽
250

. We also explore the applicability of our AI surrogates for turbulent flows, and discuss a variety of methodologies that may be incorporated in future work to create AI models that provide a computationally efficient and high fidelity description of MHD simulations for a broad range of Reynolds numbers. The scientific software developed in this project is released with this manuscript.
DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins
Authors: He Chun , Ye Xinhai , Yang Yi , Hu Liya , Si Yuxuan , Zhao Xianxin , Chen Longfei , Fang Qi , Wei Ying , Wu Fei , Ye Gongyin 
Published: June 2023

Abstract
Allergies have become an emerging public health problem worldwide. The most effective way to prevent allergies is to find the causative allergen at the source and avoid re-exposure. However, most of the current computational methods used to identify allergens were based on homology or conventional machine learning methods, which were inefficient and still had room to be improved for the detection of allergens with low homology. In addition, few methods based on deep learning were reported, although deep learning has been successfully applied to several tasks in protein sequence analysis. In the present work, a deep neural network-based model, called DeepAlgPro, was proposed to identify allergens. We showed its great accuracy and applicability to large-scale forecasts by comparing it to other available tools. Additionally, we used ablation experiments to demonstrate the critical importance of the convolutional module in our model. Moreover, further analyses showed that epitope features contributed to model decision-making, thus improving the model’s interpretability. Finally, we found that DeepAlgPro was capable of detecting potential new allergens. Overall, DeepAlgPro can serve as powerful software for identifying allergens.
Navigating Judicial Conflict amidst Jurisdictional Expansion: Common Law Commercial Courts in Arab Civil Law Countries
Authors: Dahdal Andrew 
Published: June 2023

Abstract
In recent decades, jurisdictionally separate common law commercial courts have emerged alongside existing civil law judicial systems, particularly in the Middle East. Although these unique common law judicial outposts are creating complex jurisdictional dynamics with their local civil law counterparts, their existence is also inspiring innovative structural solutions and cultural interactions. Recent cases in Dubai and Qatar reveal that the originally intended limited jurisdiction of these common law courts is expanding beyond what Michael Hwang once famously termed ‘common law lakes in civil law oceans’. One of the ways in which common law courts are expanding their remit beyond the bounds of their financial centre ‘lakes’ is by making it easier for litigants to ‘opt in’ to the jurisdiction. Increasingly, an identity crisis has also gripped some of these courts as they now regularly accept and identify themselves as local ‘State courts’. From the perspective of these courts and their institutional credibility, the State court designation is positive for their growth and acceptance. Being a State court allows financial centre courts to capture litigation where contractual language has employed the State courts language in forum election clauses. This article explores the expansion of these international commercial courts and consequent or potential tensions with local judicial structures. Delicately managed, the expansion of jurisdiction of these common law ‘outposts’ can contribute to a legal synthesis influencing both law and legal cultures, including the broader judicial systems of host States. The experience of the two jurisdictions explored in this article is instructive for the future design of similar judicial instrumentalities in similar financial centre projects in other emerging economies.
CSFL: Cooperative Security Aware Federated Learning Model Using The Blockchain
Authors: Zhang Jiaomei , Ye Ayong , Chen Jianwei , Zhang Yuexin , Yang Wenjie 
Published: June 2023

Abstract
Federated learning (FL) is a focus of research in the area of privacy protection since it does not have the privacy issues that arise from data concentration. Although its emergence has attracted widespread attention from academia and industry, existing works on FL still face security challenges. FL can be considered as a cooperative-based task to achieve global model sharing. However, the model raises issues of cooperative security, such as free-riding and poisoning attacks. Therefore, we focus on the behavior of participants with strong cooperative relationships and build a Cooperative Security-aware Federated Learning model using blockchain. In addition, we propose a credit-based economic model including profit and punishment mechanisms to ensure fairness and security among participants. Furthermore, for data privacy, we develop a participation permission strategy to protect the privacy of participants through proxy re-encryption and homomorphic encryption. Finally, the simulation results of the real datasets show that the proposed scheme achieves a good performance in security and accuracy.
The effect of discontinuing beta-blockers after different treatment durations following acute myocardial infarction in optimally treated, stable patients without heart failure: a Danish, nationwide cohort study
Authors: Halili Andrim , Holt Anders , Eroglu Talip E , Haxha Saranda , Zareini Bochra , Torp-Pedersen Christian , Bang Casper N 
Published: June 2023

Abstract

Aims
We studied the effect of discontinuing beta-blockers following myocardial infarction in comparison to continuous beta-blocker use in optimally treated, stable patients without heart failure.

Methods and results
Using nationwide registers, we identified first-time myocardial infarction patients treated with beta-blockers following percutaneous coronary intervention or coronary angiography. The analysis was based on landmarks selected as 1, 2, 3, 4, and 5 years after the first redeemed beta-blocker prescription date. The outcomes included all-cause death, cardiovascular death, recurrent myocardial infarction, and a composite outcome of cardiovascular events and procedures. We used logistic regression and reported standardized absolute 5-year risks and risk differences at each landmark year. Among 21 220 first-time myocardial infarction patients, beta-blocker discontinuation was not associated with an increased risk of all-cause death, cardiovascular death, or recurrent myocardial infarction compared with patients continuing beta-blockers (landmark year 5; absolute risk difference [95% confidence interval]), correspondingly; −4.19% [−8.95%; 0.57%], −1.18% [−4.11%; 1.75%], and −0.37% [−4.56%; 3.82%]). Further, beta-blocker discontinuation within 2 years after myocardial infarction was associated with an increased risk of the composite outcome (landmark year 2; absolute risk [95% confidence interval] 19.87% [17.29%; 22.46%]) compared with continued beta-blocker use (landmark year 2; absolute risk [95% confidence interval] 17.10% [16.34%; 17.87%]), which yielded an absolute risk difference [95% confidence interval] at −2.8% [−5.4%; −0.1%], however, there was no risk difference associated with discontinuation hereafter.

Conclusion
Discontinuation of beta-blockers 1 year or later after a myocardial infarction without heart failure was not associated with increased serious adverse events.
Regulation of intestinal stem cell activity by a mitotic cell cycle regulator Polo in Drosophila
Authors: Zhang Ying , Chen Rongbing , Gong Liyuan , Huang Wuren , Li Ping , Zhai Zongzhao , Ling Erjun 
Published: June 2023

Abstract
Maintaining a definite and stable pool of dividing stem cells plays an important role in organ development. This process requires an appropriate progression of mitosis for proper spindle orientation and polarity to ensure the ability of stem cells to proliferate and differentiate correctly. Polo-like kinases (Plks)/Polo are the highly conserved serine/threonine kinases involved in the initiation of mitosis as well as in the progression of the cell cycle. Although numerous studies have investigated the mitotic defects upon loss of Plks/Polo in cells, little is known about the in vivo consequences of stem cells with abnormal Polo activity in the context of tissue and organism development. The current study aimed to investigate this question using the Drosophila intestine, an organ dynamically maintained by the intestinal stem cells (ISCs). The results indicated that the polo depletion caused a reduction in the gut size due to a gradual decrease in the number of functional ISCs. Interestingly, the polo-deficient ISCs showed an extended G2/M phase and aneuploidy and were subsequently eliminated by premature differentiation into enterocytes (ECs). In contrast, the constitutively active Polo (poloT182D) suppressed ISC proliferation, induced abnormal accumulation of β-tubulin in cells, and drove ISC loss via apoptosis. Therefore, Polo activity should be properly maintained for optimal stem cell function. Further analysis suggested that polo was a direct target gene of Sox21a, a Sox transcription factor that critically regulates stem cell activity. Together, this study provided a novel perspective on the correlation between the progression of mitosis and the ISC function in Drosophila.