bluuebunny/crossref_metadata_2025_split huggingface dataset:
Infrasound Monitoring for Disaster Prevention from Geophysical Perspectives.
Authors: NISHIKAWA Yasuhiro , Yamamoto Masa-yuki , Yokota Akihiro , Hasumi Yuta , Hamajima Gaku 
Published: December 2023

Abstract
Infrasound refers to pressure waves occurring below the audible frequency range for humans. These low-frequency waves serve as a viable long-distance remote sensing technique to monitor potentially destructive geophysical events like earthquakes. In the context of tsunamis triggered by significant oceanic earthquakes, employing this monitoring method becomes crucial for disaster prevention due to the faster propagation of infrasound compared to natural tsunami waves. Detecting a sudden atmospheric pressure surge within the infrasonic frequency range subsequent to identifying a massive earthquake through accelerometers could serve as an indicator of imminent large tsunami waves along the shoreline area between the earthquake's epicenter and the observation site. This detection could then be utilized as a triggering mechanism for timely evacuation measures.
The influence of HNTs on the mechanical properties, swelling resistance, and microstructural properties of nanocomposites based on silicone rubber
Authors: Praveenkumar S. , Ragupathy K. , Pragadish N. , Vishvanathperumal S. 
Published: December 2023

Abstract
Halloysite nanotubes (HNTs), an innovative material, were integrated into a silicone rubber (SR) matrix. This investigation aimed to assess the influence of varying HNTs concentrations on the curing behavior, mechanical properties, swelling resistance, and microstructural features of SR/HNTs nanocomposites. These nanocomposites were formulated by incorporating HNTs at different concentrations (0-10 phr) through a two-roll mill. The cure characteristics revealed an upsurge in maximum torque (MH) with escalating HNTs loading, accompanied by a decrease in cure time (t90) and scorch time (ts2). The abrasion resistance exhibited an increment with increasing HNTs loading, reaching optimal levels at 6 phr, and tensile characteristics demonstrated improvement up to this optimal loading. Morphological analysis illustrated the uniform dispersion of HNTs within the SR matrix, indicating a positive interaction between HNTs and silicone rubber.
Pain Perception in Children and Adolescents in Rapid Maxillary Expansion: Scope Review.
Authors: Klein Daniele , Moreira Kelly Maria Silva , Cóvoz Thaís Gimenez , Duarte Danilo Antonio , Imparato José Carlos Petorossi 
Published: December 2023

Abstract
Introduction: Rapid maxillary expansion (ERM) is a procedure to correct orthodontic and orthopedic problems.
Objective: The purpose of this scoping review was to evaluate the pain reported by children and adolescents undergoing RME, in relation to age, sex and type of expander.
Methodology: The research was carried out in electronic databases, including PubMed, Scopus, Web of Science, Scielo and Lilacs, in addition to gray literature. This investigation involved terms relevant to the population (children and adolescents), the concept (pain perception) and the context (ERM). Sequential screenings were carried out based on pre-established eligibility criteria.
Results: Fifteen works were included in this study. The prevalence of pain reports was notable, particularly in the first 4 to 6 days following expander activation.
Conclusions: The ERM technique can cause mild to severe pain, which tends to decrease after the first few days of intervention. Perceived pain does not seem to be influenced by age and sex, but by the type of expander. Under appropriate pain management and expert guidance, this technique can be performed safely and effectively.
Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response
Authors: Hoffmann Heiko 
Published: December 2023

Abstract

Activity in layer 2/3 of the mouse primary visual cortex has been shown to depend both on visual input and the mouse's locomotion. Moreover, this activity is altered by a mismatch between the observed visual flow and the predicted visual flow from locomotion. Here, we present a simple computational model that explains previously reported recordings from layer 2/3 neurons in mice. In our model, layer 2/3 computes the difference between observed visual flow and predicted flow from locomotion; i.e., this difference represents the motion of objects external to the mouse. Crucially, this difference is encoded in a neural population code. We also describe a hypothesized mechanism for how the brain may carry out computations of variables encoded in a population code. This mechanism may point to a general principle for computing any mathematical function in the brain.
Land Use Land Cover Change and Its' Influence on Land Surface Temperature: A Case Study of Franklin County, Ohio
Authors: Tabassum Nusrat Jahan , Alam Md Saiful 
Published: December 2023

Abstract

In urban places, heat stress has a detrimental effect on human health and is anticipated to intensify in the future owing to global warming. Land surface temperature (LST) helps detect urban heat stress by assessing the interchange of comprised material, energy balance, and information about the physical qualities of the land surface, climatic circumstances, and human activities impacting the environment. Normalized vegetation index (NDVI) is used in LST for identifying long-term variations of vegetation coverage, and these vegetation density changes are the main reason for the differences in LST. So, the study of Franklin County aims to identify the land surface temperature over four years (2015, 2018, 2020, 2021), including the pandemic periods and the impact of NDVI. It helps to determine the reasons for rising temperatures through NDVI, which gives a scientific basis for sustainable urban design and management. LST retains a strong association with NDVI for the complete research region. The study also reveals that above mean and below mean LST have a strong to moderate correlation with the change in NDVI values (above mean and below mean). Various values of NDVI also provide the basis of the strong to moderate relation with LST. It is also observed that the center of the county always has a high LST, though the various location has temperature variation. The heterogeneous landscape around the center of a county may be the reason for and support the changing pattern of the LST-NDVI relationship. This changing relationship was also noticed before and during the pandemic (2018, 2020, and 2021). The outcome of this study provides some key measurement strategies to mitigate land surface temperature and the provision of vegetation, which is very helpful for an urban planner to ensure sustainable development.
Identification and phylogenetic analysis of Jingmen tick virus in Jiangxi Province, China
Authors: Cao Huabin , LIU Zirui , Hu Ruiming , Huang Peng , Yan Hui , Meng Puyan , Xiong Zhiwei , Dai Xueyan , Yang Fan , Wang Li , Qiu Qian , Yan Linjie , Zhang Tao 
Published: December 2023

Abstract
Background
The Jingmen tick virus is a newly identified segmented flaviviruses that has been recognized in multiple hosts, including humans. It has been reported in nine provinces of China in recent years, implying potential threads to public health.
Methods
In current study, We collected 66 ticks from 17 wild boars in four cities of Jiangxi Province for JMTV epidemic investigation. Viral metagenomic sequencing was employed to obtain the full genome sequence of one JMTV strain (WY01) in Jiangxi Province. Further bioinformatic analysis including multiple sequences alignment and phylogenetic analysis were applied to profile the genetic background of WY01.
Results
JMTV has been detected in Shangrao, Nanchang, and Jiujiang City of Jiangxi Province with positivity rates of 27.3%, 30%, and 16.7%, respectively. The positive rate of JMTV carried by Haemaphysalis longicornis and Dermacentor silvarum was 14.6% and 33.3% respectively. Furthermore, we have obtained the complete genome of a strain named WY01. Phylogenetic analysis divided the strains into two genotypes, Group I and Group II. Group I includes strains from Europe, Central America, and West Asia, while Group II consists of strains from East Asia and Southeast Asia. Group II was further split into two subgroups. Phylogenetic analysis has revealed that WY01 belongs to subgroup IIb and it shares the closest evolutionary relationship with the strains of Japan rather than the strains from neighboring provinces.
Conclusions
Current study showed that JMTV is prevalent in the ticks of wild boars in Jiangxi Province, implying potential threat on public health. Phylogenetic analysis revealed that the genetic clustering was generally associated with geographical location, however, the inconsistency was observed in China and Japan strains. The close evolutionary relationship between WY01 and Japanese strains suggests that JMTV have complex transmission mechanism and pathways. In the future, there is a pressing necessity to enhance epidemiological investigations of JMTV.
Quantum Particle Swarm Optimized Extreme Learning Machine for Intrusion Detection
Authors: Qi Han , Liu Xinyu , Gani Abdullah , Gong Changqing 
Published: December 2023

Abstract

Ensuring a secure online environment hinges on the timely detection of network attacks. Nevertheless, existing detection methods often grapple with the delicate balance between speed and accuracy. In this paper, we introduce a novel intrusion detection algorithm that marries quantum particle swarm optimization with an extreme learning machine (QPSO-ELM). Firstly, we present a feature selection algorithm grounded in partitioned gains to distill vital features from data samples, thereby diminishing feature count to amplify both model training speed and accuracy. Subsequently, we unveil an intrusion detection scheme underpinned by QPSO-ELM, capable of achieving exceptional levels of training and detection speed, all while maintaining high accuracy. Finally, we fine-tune the trained model using the proposed hidden layer node selection algorithm, reducing the detection model size without compromising detection accuracy, thus further elevating its speed. The experiment results indicate that compared to the current baseline, our proposed intrusion detection scheme achieves the best results in terms of accuracy, precision, recall, and detection latency. Furthermore, the ablation experiment results demonstrate the effectiveness of our proposed method in improving both detection speed and detection accuracy.
Ultra-sensitive determination of fenitrothion pesticide in orange juice by gold-printed electrode modified with AgNPs/Carbon dots/MWCNTs Nanoarchitecture employing electrochemical impedance spectroscopy
Authors: Ferreira Joao H. A , Battistella M A , Peres Renato M , Canevari Thiago C 
Published: December 2023

Abstract

This work describes the synthesis, characterization, and electrochemical application of innovative AgNPs/Carbon dots/MWCNTs nanoarchitecture. Silver nanoparticles (AgNPs) have been obtained by directly reducing silver nitrate salt in Carbon dots/MWCNTs alcoholic solution. UV-vis spectroscopy, HR-TEM, XPS, and electrochemical techniques have characterized this nanoarchitecture. The AgNPs/Carbon dots/MWCNTs nanoarchitecture has been dispersed on a gold printed electrode surface, showing excellent electrocatalytic activity for fenitrothion determination in acetate buffer, pH 4.5 by impedance electrochemistry spectroscopy with a detection limit of 0.48 nmol L− 1. The fenitrothion pesticide detection was also performed in orange juice and did not suffer significant interference from other pesticides.
Corporate Governance in China: Re-explore the Interconnection between Ownership Concentration, Related-Party Transactions, and Tunneling
Authors: Li Shuang , He Jie 
Published: December 2023

Abstract
While tunneling and related-party transactions are age-old topics, they still persist as lingering issues in the corporate governance field of emerging market economies to this day. This study focuses on Chinese A-share listed companies from 2015 to 2021, employing innovative methodological approach, objectively and dialectically examining the support and tunneling effects of related-party transactions, empirically investigates the relationship between related-party transactions and tunneling, as well as the link between ownership concentration and the extent and likelihood of tunneling by majority shareholders via related-party transactions. This study has positive implications for the optimization and improvement of corporate governance mechanisms in emerging market economies. It also provides some enlightening insights for the stable development of financial markets in the vast developing countries.
Spectrum Sharing Environment Using Deep Learing Techniques
Authors: Alhashimi Mustafa T. Mohammed , Madlol Baidaa M. 
Published: December 2023

Abstract
Recently, the satellite communication has main demand but still facing main problems which are the spectrum limited, both cognitive-radio (CR) and non-orthogonal-multiple-access (NOMA) methods are identified as a one of the potential solutions for these issues. Using the deep learning techniques with the CR and NOMA systems will be improvement in the spectrum effectiveness. One of the performance enhancement of the NOMA, the integration with the satellite-terrestrial-relay-network (ISTRN) in a spectrum-sharing context of several main-users (PUs) is examined. We specifically presented and given the interference limitation imposed by several nearby pus and its effect on each other’s. The closed-form formulations are investigated the ergodic-capacity (EC) and outage-probability (OP). The asymptotic-analysis for OP at high SNRs is achieved to get additional insights. To support our research and reveal the effects of the significant characteristics on the quality of the system; the numerical data and analysis are provided with deep discussions.
Assessment of energy deficiency in university soccer players
Authors: Takahashi Ryunosuke , Fujii Takako 
Published: December 2023

Abstract
Worldwide, athletes have become increasingly concerned about becoming emaciated in recent years. Moreover, university athletes who continue to train at a high intensity are more likely to be undernourished due to intense nutrient depletion and frequent dietary deficiencies. We therefore investigated energy deficits through a dietary survey of athletes in order to determine whether their ability to self-manage food varied according to their athletic ability. Thirty-four participants who were members of a university soccer club were included in this study. To assess self-management ability based on athletic ability, athletes were divided into two groups: a high athletic ability group (group A) and a general athletic ability group (group B). We found that hemoglobin levels were 15.7 (SD 1.3) g/dl for group A and 15.5 (0.8) g/dl for group B, with no anemic subjects in either group. Group A had significantly higher serum ferritin levels than group B. A nutritional assessment showed that group A had significantly higher levels of energy, protein, carbohydrate, iron, vitamin B2, vitamin C, and dietary fiber than group B. When athletes' nutrient intake was compared to their nutritional intake goals, group A met more items than group B. In addition, a comparison of PFC rates (Protein: Fat: Carbohydrate as % of total energy) showed that group A was within the target amounts, whereas group B had a higher percentage of fat. These results suggest that group A was more capable of self-management of their diet than group B.
A Novel Natural Graph for Efficient Clustering of Virus Genome Sequences
Authors: Song Harris , Sun Nan , Yu Wenping , Yau Stephen S.-T. 
Published: December 2023

Background:
This study addresses the need for analyzing viral genome sequences and understanding
their genetic relationships. The focus is on introducing a novel natural graph approach as
a solution.

Objective:
The objective of this study is to demonstrate the effectiveness and advantages of the proposed
natural graph approach in clustering viral genome sequences into distinct clades, subtypes, or
districts. Additionally, the aim is to explore its interpretability, potential applications, and implications
for pandemic control and public health interventions.

Methods:
The study utilizes the proposed natural graph algorithm to cluster viral genome sequences.
The results are compared with existing methods and multidimensional scaling to evaluate the performance
and effectiveness of the approach.

Results:
The natural graph approach successfully clusters viral genome sequences, providing valuable
insights into viral evolution and transmission dynamics. The ability to generate directed connections
between nodes enhances the interpretability of the results, facilitating the investigation of transmission
pathways and viral fitness.

Conclusion:
The findings highlight the potential applications of the natural graph algorithm in pandemic
control, transmission tracing, and vaccine design. Future research directions may involve scaling
up the analysis to larger datasets and incorporating additional genetic features for improved resolution.

:
The natural graph approach presents a promising tool for viral genomics research with implications
for public health interventions.
Follow-up of Patients with Hereditary Metabolic Diseases during the 3
Years of the Pandemic in the Reference Center for Hereditary Metabolism
Diseases of the Centro Hospitalar Universitário Lisboa Norte
Authors: Belo Anabela , Gomes Daniel , Nunes Patricia , Oliveira Anabela 
Published: December 2023

Introduction::
The adult unit of the Reference Center for Hereditary Metabolism Diseases
of the Centro Hospitalar Universitário Lisboa Norte was created in 2002. The team that
supports this unit is made up of several specialists, including 2 Internal Medicine Doctors and 2
Nutritionists. The unit carries out its activity mainly in an outpatient clinic on Fridays. Between
March 2020 and December 2022, the team adapted the support given to this unit, transforming
some external appointments into non-face-to-face appointments in order to maintain contact
with patients and reduce the deslocation to the CHULN.

Methods::
The analysis reported below reflects the activity in face-to-face and non-face-to-face
appointment of the medical team and nutrition team in the critical period.

Results/Case Report::
A total of 220 patients were evaluated, 56.4% female and 43.6% male.
Regarding the evaluated pathologies, these were divided into 3 groups: aminoacidopathies –
40%, organic aciduria – 6.5% and other metabolic diseases – 53.5%. During these three years a
total of 580 nutrition appointments were scheduled, 457 face-to-face and 123 non-face-to-face.
32% of patients scheduled did not attend the appointments or it was not possible to make telephone
contact. This percentage is divided into 90% face-to-face appointments and 10% nonface-
to-face appointments. Regarding medical appointments, the total was 797, 667 of which
were face-to-face and 130 non-face-to-face. 16.8% of absences were registered in face-to-face
and non-face-to-face appointments. 98.5% of absences concern non-face-to-face appointments.

Conclusion::
Despite the troubled period worldwide, support for these patients was always ensured,
both by the Medical team and the Nutrition team. Despite the solutions found to keep
patients safe, in this specific period, the % of absences from the outpatient clinic is quite high,
and one of the main justifications presented by the patients is related to the fact that they are
afraid to go to the hospital. With regard to absences recorded in non-face-to-face appointments,
there were several situations in which patients reported not being able to answer the phone during
their working hours.
The Effect of the COVID-19 Pandemic on Non–COVID-19 Deaths: Population-Wide Retrospective Cohort Study
Authors: Wai Abraham Ka-chung , Yip Tsz Fung , Wong Yui Hang , Chu Chun Kit , Lee Teddy , Yu Ken Hung On , So Wang Leong , Wong Janet Y H , Wong Carlos King-ho , Ho Joshua W , Rainer Timothy 
Published: December 2023

Background
Health care avoidance in the COVID-19 pandemic has been widely reported. Yet few studies have investigated the dynamics of hospital avoidance behavior during pandemic waves and inferred its impact on excess non–COVID-19 deaths.

Objective
This study aimed to measure the impact of hospital avoidance on excess non–COVID-19 deaths in public hospitals in Hong Kong.

Methods
This was a retrospective cohort study involving 11,966,786 patients examined between January 1, 2016, and December 31, 2021, in Hong Kong. All data were linked to service, treatment, and outcomes. To estimate excess mortality, the 2-stage least squares method was used with daily tallies of emergency department (ED) visits and 28-day mortality. Records for older people were categorized by long-term care (LTC) home status, and comorbidities were used to explain the demographic and clinical attributes of excess 28-day mortality. The primary outcome was actual excess death in 2020 and 2021. The 2-stage least squares method was used to estimate the daily excess 28-day mortality by daily reduced visits.

Results
Compared with the prepandemic (2016-2019) average, there was a reduction in total ED visits in 2020 of 25.4% (548,116/2,142,609). During the same period, the 28-day mortality of non–COVID-19 ED deaths increased by 7.82% (2689/34,370) compared with 2016-2019. The actual excess deaths in 2020 and 2021 were 3143 and 4013, respectively. The estimated total excess non–COVID-19 28-day deaths among older people in 2020 to 2021 were 1958 (95% CI 1100-2820; no time lag). Deaths on arrival (DOAs) or deaths before arrival (DBAs) increased by 33.6% (1457/4336) in 2020, while non–DOA/DBAs increased only by a moderate 4.97% (1202/24,204). In both types of deaths, the increases were higher during wave periods than in nonwave periods. Moreover, non-LTC patients saw a greater reduction in ED visits than LTC patients across all waves, by more than 10% (non-LTC: 93,896/363,879, 25.8%; LTC: 7,956/67,090, 11.9%). Most of the comorbidity subsets demonstrated an annualized reduction in visits in 2020. Renal diseases and severe liver diseases saw notable increases in deaths.

Conclusions
We demonstrated a statistical method to estimate hospital avoidance behavior during a pandemic and quantified the consequent excess 28-day mortality with a focus on older people, who had high frequencies of ED visits and deaths. This study serves as an informed alert and possible investigational guideline for health care professionals for hospital avoidance behavior and its consequences.