bluuebunny/crossref_metadata_2025_split huggingface dataset:
FPGA-based CCD Signal Acquisition and Transmission System Design
Authors: Peng Xuxiang , Tang Yun , Li Jingfeng , Zou Penghui , Liao Ping , Yan Jiatao , Shen Meng , Zhou Ling 
Published: October 2023

Abstract
In order to facilitate the analysis and processing of optical signals, an FPGA-based CCD signal acquisition and data transmission system is designed in this work. The system uses an FPGA as the main control device, the TCD1304DG/AP chip as the optical signal detector, and the CYUSB3KIT-003 development board product by Cypress for data transmission. Verilog and Python languages are employed for modular design and on-board verification. Through the coordination of each module, the system successfully achieves CCD signal data acquisition and transmission.
Effect of the initial viscosity and substrate corner geometry on edge beading of photoresist films
Authors: Weidner David , Mahmoodi Soroosh 
Published: October 2023

Abstract

This paper explores the effect of viscosity and corner geometry on the width of the edge bead region for axisymmetric substrates. Specifically we model the edge of the substrate as a part of a circle with different subtended angles and various radii, in combination with straight segments of given length. We employ the physiochemical properties of a typical SU-8 3000 photoresist with different concentrations of solvent, and therefor a large range of initial viscosities. Using the lubrication approximations, we derive the governing equations for a photoresist on such a substrate that includes rotation in the initial phase and the evaporation of solvent in the drying stage, with a subsequent increase in viscosity. The resulting equations are solved numerically using an efficient implicit finite difference algorithm. The results indicate that high initial viscosities lead to a more uniform film thickness near the edge of the substrate, but require a significantly greater rotation time. Larger corner radii reduce edge beading, but require a larger substrate, and consequently the absolute width of the bead region is actually larger for higher values of the corner radius. Using a substrate with a chamfered corner region can reduce edge beading on the horizontal region of the substrate. However, this leads to a larger substrate and consequently the width of the region affected by edge beading is actually greater. Consequently we conclude that a corner region with a small radius of curvature may produce the smallest edge bead width in industrial applications.
Trade-off between leaf traits in a burned area of Picea asperata-Abies fabri forest of the Qinghai-Tibetan Plateau
Authors: 曹 雪萍 , Qing Tian , Xiaolei Zhou 
Published: October 2023

Abstract
Climate change and disturbed are testing the resilience of forests worldwide, Exploring the adaptation strategies of plants in alpine regions could provide reliable suggestions for plant conservation. As an indispensable organ, the functional traits and correlations of leaves are most closely related to the environment, and are the main indicators to measure the suitability of plant survival. The scaling relationship of leaf mass, leaf area and leaf thickness in the area of fire site is still lacking. On the basis of survey data, we measured leaf traits and correlation of shrub in the burned area of Piceaasperata-Abies fabri forest of the Qinghai-Tibetan Plateau. Our results showed that: the families Salicaceae belong to quick investment-return, the Caprifoliaceae belong to slow investment-return. The scaling relationship of leaf fresh mass and leaf dry mass showed that the families Salicaceae and Saxifragaceae the scaling exponent (α) overlapped with one, means the change in leaf dry mass were proportional to the change in leaf fresh mass. For Gramineae was significantly greater than 1.0, while the Rosaceae and Caprifoliaceae was less than 1.0, which meant that the increase of leaf dry mass did not keep pace with the increase of leaf fresh mass in some species. The scaling relationship between leaf mass and leaf area was relatively complex, and α for all families did not include unity. The coefficients of determination (i.e. R2) for leaf fresh mass vs. leaf area were always greater than that of leaf dry mass vs. leaf area. The family Rosaceae, the 95% CI of the scaling exponent of the leaf area vs. leaf thickness relationship overlapped with one; the leaf area increased with increasing leaf thickness, the relationship did not show similar results in the other families. In future studies, we need more comprehensive data sets containing more species living under the fire site to assess the generality of the diminishing returns hypothesis. This will provide a new perspective to understand the adaptation of plants regenerated after the fire to harsh habitats.
Coronal Flattening Index of Total Solar Eclipse on 20 April 2023 and the Prediction of Solar Cycle 25 Maximum
Authors: Pangestu Ayu D. , Yusuf Aditya A. , Prastyo Hendra A. , Rayhan Muhammad , Muhamad Johan , Dani Tiar , Nurzaman Muhamad Z. , Kesumaningrum Rasdewita , Sulistiani Santi , Widodo Nanang , Putri Alfiah R. D. , Lestari Deni O. , Malasan Hakim L. 
Published: October 2023

Abstract

We observed a total solar eclipse (TSE) on 20 April 2023 in Timor Leste and analyzed the isophote of the coronal image. We obtained a coronal flattening index (ε) with a value of 0.10 and a phase value (Φ) of 0.70, indicating that the TSE had a pre-maximum coronal type. Based on the composite image of the corona, four large streamers were observed in the northern and southern hemispheres of the Sun, with small streamers scattered uniformly in the solar disk. It indicates that the Sun was in the ascending phase of its activity cycle. Moreover, we developed two models to predict the maximum of the current solar cycle (Wmax) using the Smoothed Sunspot Number (SSN) and ε from all TSE data during the ascending phase (positive Φ) from 1893 to 2013. We used Multi Linear Correlation (MLC) and 2nd-order Polynomial Regression (PR2) to predict the value of Wmax for the solar cycle 25 (SC 25) based on the observations of TSE on 20 April 2023. We obtained values of 175.5 ± 27.9 and 168.2 ± 25.8 using MLC and PR2, respectively, with the estimated peak time in September 2024. These results indicate that SC 25 will be stronger than the solar cycle 24 (SC 24).
Assessment of Rainfall and Climate Change Patterns in the City of Kigali via Machine Learning and IPCC Codex Models and their Impact on Heavy Storms
Authors: Bizimana Hussein , Altunkaynak Abdusselam , Kalin Robert , Rukundo Emmanuel , Mugunga Mathieu Mbati , Sönmez Osman , Tuncer Gamze , Baycan Abdulkadir 
Published: October 2023

Abstract
Rwanda has been negatively affected by a changing climate, exacerbated by human impact on land and water resources. In most parts of the country the rainfall pattern has changed over the last decades resulting in both enhanced flooding and water shortage / scarcity in much of the country, especially in the Capital City of Kigali and peripheries which is the main economic hub of the country with strong links to the East African region. Changes in precipitation have affected agricultural production, hydropower production, and water supplies, and has been a result of increased heavy storms, and flash floods in the city. This study developed a new predictive model rainfall patterns in the City of Kigali (CoK) in the Republic of Rwanda using evolutionary methodologies that apply machine learning techniques of Fuzzy Inference Systems (FIS) trained via Genetic Algorithms, Neuro Network Systems and a comparative Support Vector Machine tool, and assessment downscaled climate change combinations with predicted rainfall patterns. The models were calibrated and validated using measured rainfall data in the City of Kigali from 1991 through 2023. The model results show the developed Geno Fuzzy Inference System (GENOFIS) model performed better than the Adaptive Neuro Fuzzy Inference System (ANFIS) and Support Vector Machine (SVM) models. The Coefficient of Efficiency (CE), and Root Mean Square Error (RMSE) were used as diagnostic measures for model performance evaluation. Models generated with GENOFIS are therefore recommended for rainfall and related prediction pattern in the City of Kigali for climate change adaptation and resilience policy and planning.
Memikirkan Liturgi Pengharapan
Authors: Martasudjita Emanuel Pranawa Dhatu 
Published: October 2023

AbstractThe year of 2023 is a year full of challenges. The pandemic of Covid-19 is almost gone yet the Russian aggression against Ukraine just started its second year and this has been involving more countries and causing significant global setback. Ecological problem has been aggravated by series of recent natural calamities. And Indonesia itself has entered a political year. Amid this crisis, which sources of hoperemain? Are there liturgical celebrations that would generate hope and empowerment? This article will focus on a hope-generating liturgy. This paper uses Michelle Baker-Wright’s theory that develops the liturgy of hope as a public work. Through a literature study with a critical analysis method, the author explores the meaning of hope from Moltmann and Suharyo. This research will present a meaning of liturgy of hope, its theological dimensions, and the elements of liturgy of hope that must be considered. A Christian liturgy is itself a celebration of hope rooted in an Easter faith.
AbstrakTahun 2023 merupakan tahun penuh tantangan. Setelah pandemi covid-19 hampir surut, peperangan antara Rusia dan Ukraina malah memasuki tahun kedua, dan peperangan ini telah melibatkan banyak negara serta mengakibatkan begitu banyak krisis dan kemunduran global. Sementara itu masalah ekologi telah diperparah oleh serangkaian bencana alam baru-baru ini. Dan Indonesia sendiri sudah memasuki tahun politik. Di tengah situasi krisis ini adakah sumber pengharapan yang masih tinggal? Adakah perayaan-perayaan liturgi yang menumbuhkan pengharapan dan pemberdayaan? Artikel ini ingin menyampaikan sebuah pemikiran mengenai perayaan liturgi yang menumbuhkan pengharapan. Tulisan ini menggunakan teori Michelle Baker-Wright yang mengembangkan liturgi pengharapan sebagai karya publik. Melalui studi kepustakaan dengan metode analisa kritis, penulis menggali makna pengharapan dari Moltmann dan Suharyo. Dari penelitian ini penulis menyampaikan makna liturgi pengharapan, dimensi-dimensi teologisnya dan unsur-unsur liturgi pengharapan yang mesti diperhatikan. Suatu liturgi kristiani semestinya merupakan suatu perayaan pengharapan yang berakar pada iman akan misteri Paskah.
Operationalising water safety plans for Melbourne – a large city case study
Authors: Jayaratne Asoka , Steele Mellisa , Stevens Melita , van Lieshout Kate , Curran Luke , Higginbotham Matthew , Prosser Toby , Dickson Luke , Mosse Kim , McManemin Anthea 
Published: October 2023

Abstract
A wholesale/retail model delivers drinking water to over 5 million residents in metropolitan Melbourne (Australia). Water Safety Plans were implemented in 1999 ahead of being regulatory mandated in 2003. With over 20 years of WSP application, this collaborative paper by the wholesaler and retailer utilities presents practical examples of drinking water quality risk management in challenging operational environments, highlighting lessons learnt, improvements made and outcomes achieved. Melbourne's supply comprises multiple sources, necessitating different tailored treatment configurations. Source waters range from open catchment with multiple treatment barriers, to protected catchment source waters requiring solely disinfection treatment (unfiltered) with gravity driven supply. Potable supply is a combination of unfiltered, filtered, desalinated and blended supplies. This makes for diversity in case studies brought to this paper, and a range of lessons likely to be of interest to the global WSP community. The Melbourne utility experience highlights the importance of developing and continually improving control measures for ongoing (adaptive) risk reduction. A robust emergency management plan is also fundamental to ensure preparedness for complex and unpredictable events. Furthermore, leveraging learnings from audits and incidents has been valuable for process improvement. WSP implementation has also facilitated timely communication with consumers and other stakeholders.
Prevalence and genetic distribution of Legionella spp. in public bath facilities in Kobe City, Japan
Authors: Komatsu Shoko , Tanaka Shinobu , Nakanishi Noriko 
Published: October 2023

Abstract
Legionella is an important waterborne pathogen that causes legionellosis. Public baths are considered the primary cause of legionellosis infection in Japan. We investigated the prevalence and genetic distribution of 338 Legionella spp. isolates from 81 public bath facilities, including 35 hot springs and 46 other facilities, through annual periodic surveillance in Kobe, Japan, from 2016 to 2021. In addition, the genotypes of nine clinical strains of unknown infectious source from the same period were compared to those of bathwater isolates. We elucidated the differences in the distribution of Legionella species, serogroups, and genotypes between hot springs and other public baths. Legionella israelensis, L. londiniensis, and L. micdadei colonized hot springs along with L. pneumophila. The minimum spanning tree analysis based on multiple-locus variable number tandem repeat analysis (MLVA) also identified four major clonal complexes (CCs) in L. pneumophila SG1 and found that CC1 of the four CCs is a specific novel genotype with the lag-1 gene in hot springs. The same MLVA genotypes and sequence types as those of the clinical strains were not present among the strains isolated from bath water. Thus, our surveillance is useful for estimating the sources of legionellosis infection in Japan and developing prevention strategies.
First report of Acanthamoebae spp. isolation from a volcanic mud spring in the Philippines
Authors: Celis Crisselle Marie , Caburnay Isabella Marie , Avila Fritz Irish , Conol Hannah Mica , Cuevas Aleli , Cunan Maria Angela , Blanco J Piolo , Banal Kenneth Bryan , Hapan Ma. Frieda Z. , Manahan Edilberto P. , Padua Mark F. F. E. , Masangkay Frederick R. , Milanez Giovanni D. Jesus 
Published: October 2023

Abstract
Acanthamoebae spp. is considered highly adaptive. The present study aims to establish the occurrence of free-living amoebae, particularly Acanthamoebae, to exist in extreme environments such as volcanic mud springs. Fifty surface water samples were collected from mud springs (34 samples), and flat rocks (16 samples) were collected, processed, and cultured. After 14 days of incubation, 32 (64%) plates showed positive amoebic growth. Nineteen (55.8%) of these plates came from the mud spring collection site, while 13 (81.2%) samples are from flat rock sources. DNAs from positive samples were made to react to polymerase chain reaction (PCR) using primer sets JDP1 5′GGCCCAGATCGTTTACCGTGAA-3′ and JDP2 5′TCTCACAAGCTGCTAGGGAGTCA-3′ for cells that resemble Acanthamoebae. Sequencing and basic local alignment search tool (BLAST) revealed a 99% similarity of isolates to Acanthamoebae spp. Identification of Acanthamoebae spp that can survive in higher temperatures is important public health information. The existence of such isolates in the environment has dire health implications, which suggests revisitation of water treatment protocols. Detection of such organisms in environmental sources used for recreational purposes provides information to local and international tourists who frequent them. This will result in the mitigation of potential future infection.
Variability and trend detection of water discharge over the past 60 years in the Vietnamese Hieu River Basin
Authors: Thach Tran Tuan 
Published: October 2023

Abstract

This paper presents an in-depth analysis of the variability and trend detection of water discharge in the Hieu River Basin over the period from 1/1/1961 to 31/12/2020. Firstly, the wavelet analysis is implemented to investigate the flow variability at different time scales. Using time series of daily flow at Quy Chau and Nghia Khanh, the periodicities of flow are examined, showing that periodic oscillations in flow mainly occurred at 1 year, from 2 to 4 years, and from 4 to 8 years. Secondly, discharge variability is investigated, revealing an increase from January to September (excluding June) and a decrease from October to December. At Quy Chau, flow increased seasonally and annually by 0.19 and 0.06 m3/s, respectively, while its values at Nghia Khanh decreased of up to −0.50 m3/s. Thirdly, temporal trends of flow are assessed using Mann–Kendall and Sen's slope estimator, and sequential Mann–Kendall test. Results show flow decreases during 1961–1969, 1973–1976, and 1996–2020 and increases in 1969–1973 and 1976–1996. Temporal patterns of flow at Quy Chau and Nghia Khanh demonstrated synchronization across different time scales. Relationship between flow and rainfall is discussed to investigate insights into their relationship.
The prioritization of volunteering revival measures of the Qanat
Authors: Yousefian Nazanin , Firoozzare Ali , Taghvaeian Saleh , Shahnoushi Naser 
Published: October 2023

Abstract

The Fariman-Torbat Jam Plain has been under high pressure due to the imbalance of groundwater caused by excessive water extraction. Current conditions necessitate the preservation of appropriate extraction methods. Although the revival of the Qanat is known to be a highly compatible method, its high cost poses a challenge. Identifying and prioritizing measures to revive the Qanat can be a critical factor in managing this challenge. This study identified and prioritized the measures of the revival of the Qanat by using questionnaires, interviews with experts, and the entropy–VIKOR method. The results showed that among the 10 measures identified, reducing the extraction of water and changing the cultivation pattern were the top two priorities, and other measures were placed next. By implementing these measures, it is possible to partially respond to the demands of the natives while preventing further deterioration of the consequences that endanger the plain. Furthermore, considering the fact that the implementation of any measure can be beneficial, they should be determined based on region characteristics and then implemented in order of priority to obtain more favorable results.
Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective
Authors: Khan Mehran , Khan Afed Ullah , Khan Sunaid , Khan Fayaz Ahmad 
Published: October 2023

AbstractThis study investigates changes in river flow patterns, in the Hunza Basin, Pakistan, attributed to climate change. Given the anticipated rise in extreme weather events, accurate streamflow predictions are increasingly vital. We assess three machine learning (ML) models – artificial neural network (ANN), recurrent neural network (RNN), and adaptive fuzzy neural inference system (ANFIS) – for streamflow prediction under the Coupled Model Intercomparison Project 6 (CMIP6) Shared Socioeconomic Pathways (SSPs), specifically SSP245 and SSP585. Four key performance indicators, mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2), guide the evaluation. These models employ monthly precipitation, maximum and minimum temperatures as inputs, and discharge as the output, spanning 1985–2014. The ANN model with a 3-10-1 architecture outperforms RNN and ANFIS, displaying lower MSE, RMSE, MAE, and higher R2 values for both training (MSE = 20417, RMSE = 142, MAE = 71, R2 = 0.94) and testing (MSE = 9348, RMSE = 96, MAE = 108, R2 = 0.92) datasets. Subsequently, the superior ANN model predicts streamflow up to 2100 using SSP245 and SSP585 scenarios. These results underscore the potential of ANN models for robust futuristic streamflow estimation, offering valuable insights for water resource management and planning.
METTL14 Regulates the m6A Modification of TRAF6 to Suppress Mitochondrial Dysfunction and Ferroptosis in Dopaminergic Neurons via the cGAS-STING Pathway
Authors: Shao Liang , Hu Fan , Xu Renxu , Nie Hongbing , Zhang Hong , Zhang Ping 
Published: October 2023

Objectives:
The degeneration of dopaminergic (DA) neurons has emerged
as a crucial pathological characteristic in Parkinson’s disease (PD). To enrich the
related knowledge, we aimed to explore the impact of the METTL14-TRAF6-cGASSTING
axis in mitochondrial dysfunction and ferroptosis underlying DA neuron
degeneration.

Methods:
1-methyl-4-phenylpyridinium ion (MPP+) was used to treat DA neuron MN9D
to develop the PD cell models. Afterward, a cell counting kit, flow cytometer, DCFH-DA
fluorescent probe, and Dipyrromethene Boron Difluoride staining were utilized to
measure the cell viability, iron concentration, ROS level, and lipid peroxidation,
respectively. Meanwhile, the mitochondrial ultrastructure, the activity of mitochondrial
respiratory chain complexes, and levels of malondialdehyde and glutathione were
monitored. In addition, reverse transcription-quantitative polymerase chain reaction
and western blot assays were adopted to measure the expression of related genes.
cGAS ubiquitylation and TRAF6 messenger RNA (mRNA) N6-methyladenosine (m6A)
levels, the linkages among METTL14, TRAF6, and the cGAS-STING pathway were
also evaluated.

Results:
METTL14 expression was low, and TRAF6 expression was high after MPP+
treatment. In MPP+-treated MN9D cells, METTL14 overexpression reduced ferroptosis,
ROS generation, mitochondrial injury, and oxidative stress (OS) and enhanced
mitochondrial membrane potentials. TRAF6 overexpression had promoting impacts on
mitochondrial dysfunction and ferroptosis in MPP+-treated MN9D cells, which was
reversed by further overexpression of METTL14. Mechanistically, METTL14 facilitated
the m6A methylation of TRAF6 mRNA to down-regulate TRAF6 expression, thus
inactivating the cGAS-STING pathway.

Conclusion:
METTL14 down-regulated TRAF6 expression through TRAF6 m6A
methylation to inactivate the cGAS-STING pathway, thereby relieving mitochondrial
dysfunction and ferroptosis in DA neurons.
Radiomics in the Diagnosis of Gastric Cancer: Current Status and Future
Perspectives
Authors: Wang Zhiqiang , Li Weiran , Jin Di , Fan Bing 
Published: October 2023

Abstract:
Gastric cancer is a malignant cancerous lesion with high morbidity and mortality. Preoperative diagnosis of gastric cancer is challenging owing to
the presentation of atypical symptoms and the diversity of occurrence of focal gastric lesions. Therefore, an endoscopic biopsy is used to diagnose
gastric cancer in combination with imaging examination for a comprehensive evaluation of the local tumor range (T), lymph node status (N), and
distant metastasis (M). The resolution of imaging examinations has significantly improved with the technological advancement in this sector.
However, imaging examinations can barely provide valuable information. In clinical practice, an examination method that can provide information
on the biological behavior of the tumor is critical to strategizing the treatment plan. Artificial intelligence (AI) allows for such an inspection
procedure by reflecting the histological features of lesions using quantitative information extracted from images. Currently, AI is widely employed
across various medical fields, especially in the processing of medical images. The basic application process of radiomics has been described in this
study, and its role in clinical studies of gastric cancer has been discussed.