bluuebunny/crossref_metadata_2025_split huggingface dataset:
Space disinfection using TiO2 photocatalyst reduces the incidence of febrile neutropenia in cancer patients
Authors: Iizuka Kazuihde , Ochiai Heihachiro , Harazono Toyohiro , Iizuka Yoshikazu , Tsuchida Sachio , Umemura Hiroshi , Somei Junichi , Tanimichi Yumiko , Yamamoto Haruka , Minoshima Jiro , Yamashiro Misaki , Miura Katsuhiro , Nakamura Hideki , Nakayama Tomohiro , Aida Yoko , Hatta Yoshihiro , Takei Masami 
Published: February 2024

Abstract
Purpose
Febrile neutropenia (FN) is life-threatening condition, and airborne microorganisms have been identified as one of the potential transmission routes. In this study, our objective was to evaluate spatial sterilization using photocatalytic oxidative decomposition reactions is effective to prevent FN in patients undergoing cancer treatment.
Methods
One air purifier equipped a mechanism that irradiates photocatalytic platinum-added titanium dioxide with LED (LED-TiO2 device) was installed per 21.5–35 m3 in hospital rooms to investigate changes in the incidence of FN and the number of airborne microorganisms.
Results
Airborne microorganisms in the hospital rooms matched those responsible for nosocomial infections. The incidence of FN was significantly reduced after installation of the LED-TiO2 device (9/13 vs 2/12, P = 0.015). The LED-TiO2 device decreased the number of airborne microorganisms in patient-free rooms by approximately 75% after 2 hours (P < 0.001). When patient was in the room, the number of airborne microorganisms increased with medical procedure. However, after 20 minutes after procedure, the number of airborne microorganisms was approximately 50% lower than without the device room (p = 0.019).
Conclusions
The LED-TiO2 device successfully achieved spatial disinfection in hospital rooms, and reduced the incidence of FN. Spatial disinfection using photocatalysts is considered an effective new infection prevention measure in patients with severe neutropenia undergoing cancer treatment.
An initial diagnosed chronic myeloid leukemia presenting as panuveitis combined with retinal and choroidal vascular occlusion: a case report
Authors: Yan Xixi , Yang Hongxia , Ruan Xiaolan , Chen Changzheng , Jiang Shuanghong , Yuan Jing 
Published: February 2024

Abstract

Background
Chronic myeloid leukemia (CML) can manifest ocular complications stemming from hematologic irregularities or direct infiltration of neoplastic cells. This article details the case of a patient with newly diagnosed CML exhibiting elevated platelet counts (PLT) who developed panuveitis accompanied by retinal vascular occlusion.
Case presentation:
A 52-year-old woman experienced a notable decline in vision in her left eye over a 2-week period. Classical anterior uveitis, vitreous cavity opacity, optic nerve edema, and retinal vascular obstruction were observed. The right eye exhibited papilledema and retinal vein tortuosity. Despite admission, the condition of both eyes deteriorated, accompanied by a continuous increase in PLT. She was diagnosed with CML based on bone marrow biopsy and chromosomal examination. Following platelet apheresis therapy and chemotherapy, the condition of her right eye significantly improved, but the left eye's condition remained irreversible.
Conclusions
This is a rare case of newly diagnosed CML presenting with diverse ocular manifestations in both eyes. The disparate outcomes in eyes with varying lesion stages underscore the importance of prompt diagnosis.
Subduction thrust valving action revealed from time-lapse imaging of deep Hikurangi slow slip events
Authors: Herath Pasan , Audet Pascal 
Published: February 2024

Abstract
Slow slip events (SSEs) at subduction zones relieve tectonic stress over periods ranging from days to years. A pervasive feature in SSE regions worldwide is the presence of high fluid pressures in the subducting slab, which are thought to fluctuate during SSEs through the fault-valving action of an impermeable layer at the plate interface. Yet, geophysical observations of this fault-valving behaviour remain sparse. Here we show, by applying timelapse receiver function analysis at the Manawatu deep slow slip region, that VP/VS in the top ~7.3 km of the subducting Pacific Plate increases up to 2.40 during inter-SSE periods and decreases down to 2.20 during SSE periods, indicating sustained high fluid pressures across slip cycles. In a ~2 km thick layer above, VP/VS fluctuates in the opposite sense, decreasing to ~1.4 during inter-SSE to >2.0 during SSEs. We interpret these results to indicate a reduction in fluid saturation due to decreased crack density and mineral precipitation between SSE cycles, followed by increased crack density and fluid saturation induced by slip on the subduction thrust. Our work shows that this thin layer relieves high fluid pressures in the subducting slab by acting as a valve.
Quantification of Individual and Interactive Effects of Some Antioxidants on Drought Tolerance in Cuminum cyminum L
Authors: Ashori Ali , Gholipoor Manoochehr , Gholami Ahmad , Abbasdokht Hamid 
Published: February 2024

Abstract

There are complex inter- and intra-relations between antioxidants and plant drought tolerance (biomass; DT); Therefore, commonly used techniques, including correlation analysis, is inadequate to describe the relationship between antioxidants and DT. This study aimed to quantify the individual and interactive effects of six antioxidants on cumin DT using a non-linear multiple regression. Field experiments were conducted at two sites in Iran, in 2020. Treatments were the factorial split plot arrangement of magnetic water (conventional and magnetized waters), deficit irrigation (providing 100%, 70%, and 40% of water requirement), and superabsorbent (0, 100 and 200 kg. ha − 1), leading to a wide range of alterations in traits. For comparison purposes, the dataset was normalized. The results showed that SOD and CAT had a decreasing effect on DT; however, anthocyanins slightly alleviated their negative impacts, as anthocyanins, SOD - CAT interaction synergistically promoted DT. Carotenoids did not favor DT individually; however, DT was promoted by carotenoids SOD and carotenoids_anthocyanins_POD interactions. In terms of effecting DT, the antioxidants were ranked from highest to lowest as POD (sum of individual and interactive effects = 2.267), anthocyanins (1.738), carotenoids (1.203), proline (0.613), SOD (-1.75) and CAT (-2.048). The predicted optimal activities/concentrations of antioxidants, obtained by maximizing the regression function, led to 12% increase in DT, which could be used for breeding purposes.
Transformative Analysis of Mental Health in Rural China: The CART Algorithm Approach
Authors: Fu Dongge , He JingZi , Mu Qichen 
Published: February 2024

Abstract
Mental health remains a critical concern in China, particularly for patients with severe psychiatric disorders in rural areas. This study aimed to analyze the health status of Chinese patients with severe psychiatric disorders using the CART algorithm. Mental health is a critical facet of overall well-being, yet understanding and addressing the complexities of severe psychiatric disorders in rural China presents unique challenges. This comprehensive study employs advanced analytical techniques to explore and illuminate multifaceted aspects of mental health, with a specific focus on patients with severe psychiatric disorders, healthcare professionals, and rural residents in China. This study's novelty is in its creative utilization of the CART algorithm to assess the well-being of Chinese individuals grappling with severe psychiatric conditions. This cutting-edge data analysis method opens up a potential path for enhancing mental health strategies and optimizing resource allocation. In essence, this study offers a holistic examination of mental health in rural China, encompassing various dimensions, from predictive elements to the challenges faced by healthcare professionals. Its findings aim to inform the development of effective mental health strategies and resource allocation, enhancing the overall well-being of individuals grappling with severe psychiatric disorders in this region. The government and relevant authorities are recommended to ensure their physical and mental health. The lack of mental health information in rural China also negatively impacts patients' behavior in seeking and using medical services. Thus, measures to promote different forms of mental health education are proposed. In conclusion, the treatment of patients with severe mental illness is crucial to the physical and mental health of millions of people.
The moderating role of corruption in the oil price-economic growth relationship in an oil-dependent economy: Evidence from Bootstrap ARDL with a Fourier Function
Authors: David Joseph , Abu Nurudeen , Owolabi Akintola 
Published: February 2024

Abstract
This study employs the recently proposed bootstrap autoregressive distributed lag (ARDL) model augmented with a Fourier function and the dynamic ARDL simulation procedures to examine whether the oil price-economic growth relationship is dependent on the level of corruption in an oil-dependent economy. Using Nigerian quarterly data during the 1996Q1-2021Q4 period, the results of the bounds-testing present evidence for cointegration between the variables. In addition, the results indicate that oil price and corruption are growth-enhancing, but the effect of oil price on growth is contingent on the level of corruption. Moreover, evidence suggests that the marginal effect of oil price on economic growth varies with the level of corruption; the lower the level of corruption, the higher the growth-enhancing effect of oil price on economic growth, and vice versa. The dynamic ARDL simulations plots demonstrate the significant increase (decrease) in predicted growth in the short-term due to a counterfactual rise in the price of oil price (corruption), which gradually deflates (increase) after the shock in the long-term. Therefore, policies geared toward diversifying the economy away from oil, reducing corruption in the oil and gas industry and the security sector, improving agricultural output, and reducing unemployment rate are recommended to enhance growth.
JEL Classification: C15, C22, O4, O43, O13
Ciprofloxacin and Norfloxacin Hybrid Compounds: Potential Anticancer
Agents
Authors: Peter Sijongesonke , Aderibigbe Blessing A. 
Published: February 2024

Background::
The concept of utilizing drug repurposing/repositioning in the development
of hybrid molecules is an important strategy in drug discovery. Fluoroquinolones, a class of
antibiotics, have been reported to exhibit anticancer activities. Although anticancer drug development
is achieving some positive outcomes, there is still a need to develop new and effective anticancer
drugs. Some limitations associated with most of the available anticancer drugs are drug resistance
and toxicity, poor bio-distribution, poor solubility, and lack of specificity, which hamper
their therapeutic outcomes.

Objectives::
Fluoroquinolones, a known class of antibiotics, have been explored by hybridizing
them with other pharmacophores and evaluating their anticancer activity in silico and in vitro.
Hence, this review provides an update on new anticancer drugs development containing fluoroquinolones
moiety, Ciprofloxacin and Norfloxacin between 2020 and 2023, their structural relationship
activity, and the future strategies to develop potent chemotherapeutic agents.

Methods::
Fluoroquinolones were mostly hybridized via the N-4 of the piperazine ring on position
C-7 with known pharmacophores characterized, followed by biological studies to evaluate their anticancer
activity.

Results::
The hybrid molecules displayed promising and interesting anticancer activities. Factors
such as the nature of the linker, the presence of electron-withdrawing groups, nature, and position
of the substituents influenced the anticancer activity of the synthesized compounds

Conclusion::
The hybrids were selective towards some cancer cells. However, further in vivo
studies are needed to fully understand their mode of action
Assessment of POFA-Pervious Concrete Performance with Oil Palm Shells as a Partial Aggregate Replacement
Authors: Jaafar Mohd Faizal Md. , Muthusamy Khairunisa 
Published: February 2024

Introduction
In Malaysia today, periods of excessive rain can result in flooding poses a significant challenge. The existing drainage system struggles to manage the wastewater effectively. In addressing the persistent issue of flooding in Malaysia, this issue’s solution was recommended to introduce pervious concrete (PC). Recognizing the urgency of finding sustainable and environmentally friendly solutions, the present study focuses on the application of PC as a potential remedy that allows water to infiltrate through its porous structure.

Aims
Despite the potential benefits of PC, there exists a notable gap in the understanding of its performance, especially when incorporating oil palm shells (OPS) as a partial aggregate replacement in POFA-pervious concrete (PPC). OPS is an agricultural waste material abundant in palm oil-producing regions, remarkably in Malaysia. This research aims to bridge this gap to evaluate the performance of PPC and PPC with OPS. By addressing the performance of PPC at different OPS replacement levels and curing ages, the lack of such detailed investigations in the existing body of knowledge underscores the novelty and importance of this present research.

Methods
Experimental tests were conducted to evaluate the performance of PPC and PPC incorporating OPS comprising density, water absorption, void content, and compressive strength. All the tests were conducted at 7 and 28 days after the hardened concrete was cured in water.

Results
The results revealed that as the OPS content increased, the compressive strength of PPC with OPS decreased but was significantly higher than recommended in the standard. Conversely, the reduction in strength was accompanied by an improvement in water absorption, making PPC encompassing OPS suitable for applications. The void content of the PPC increased with higher OPS replacement levels, indicating an increase in porosity. This increase in porosity led to a decrease in the density of the PPC incorporating OPS.

Conclusion
The findings of this research suggest that the incorporation of OPS as an aggregate replacement in PPC can offer advantages in terms of water absorption. The inclusion of 10% OPS significantly and positively affects the performance of PPC.
L-lysine as a Potential Agent for Controlling Biofilm Formation Using Fusobacterium nucleatum and Porphyromonas gingivalis
Authors: Ling Yufeng , Zhao Tian , Zhu Yaoyao , Duan Menglu , Wu Wenlei , Wu Juan 
Published: February 2024

Background
Periodontitis, a globally-pervasive chronic inflammatory condition, is precipitated by forming microbial biofilms. A key player in this process is Fusobacterium nucleatum (F. nucleatum), an anaerobic bacterium exhibiting invasive and pro-inflammatory characteristics primarily associated with the onset of periodontitis. Consequently, developing novel biofilm control strategies specifically targeting F. nucleatum is essential.
The objective of this research is to examine the suppressive impact of L-lysine on biofilm formation using F. nucleatum.

Methods
Fusobacterium nucleatum(F. nucleatum) and Porphyromonas gingivalis (P. gingivalis) were cultured in a liquid medium containing L-lysine of different concentrations. The antimicrobial activity of L-lysine was evaluated using the broth microdilution method. The effect of L-lysine on the mono-species and dual-species F. nucleatum biofilms was assessed using techniques such as crystal violet staining. The synthesis of extracellular polysaccharide substances (EPSs) from biofilms was measured using phenol-sulfuric acid. The expression level of virulence factors (FN1420, FN0669, FN0634, FN1162) and the biofilm-formation-related gene radD were quantified using real-time PCR.

Results
L-lysine exhibited the antibacterial and antibiofilm activity of F. nucleatum and F. nucleatum/ P. gingivalis double strains, which was concentration-dependent. The MIC and MBC values were 10 mg/ml and 20 mg/ml in F. nucleatum single strains, while those in F. nucleatum/ P. gingivalis double strains were 20 mg/ml and 40 mg/ml. L-lysine with a concentration ≥20 mg/ml could reduce the EPS production in F. nucleatum and F. nucleatum/ P. gingivalis dual-species biofilms. L-lysine also inhibited the expression of genes encoding the F. nucleatum virulence factor (FN1420, FN0669, FN0634, FN1162) and the adhesive factor radD.

Conclusion
These findings corroborate the potential of L-lysine as an agent impeding the development of both mono-species biofilms of F. nucleatum and dual-species biofilms of F. nucleatum and P. gingivalis.
Digital Health Interventions in Dengue Surveillance to Detect and Predict Outbreak: A Scoping Review
Authors: Salim Marko Ferdian , Satoto Tri Baskoro Tunggul , Danardono Danardono , Daniel D. 
Published: February 2024

Background:
Dengue fever is a global concern, with half of the population at risk. Digital Health Interventions (DHIs) have been widely used in Dengue surveillance.

Objective:
The objective of this review is to identify DHIs that have been used in Dengue surveillance.

Methods:
A systematic literature search was performed on three primary databases: PubMed, Scopus, and Google Scholar. A total of 2637 studies, including duplicates, were found to be possibly pertinent to the study topic during the electronic search for the systematic literature review. After the screening of titles and abstracts, 51 studies remained eligible.

Results:
The study analyzed 13 main categories of DHIs in Dengue surveillance, with Brazil, India, Sri Lanka, China, and Indonesia being the top five countries. Geographic Information System was the most used DHIs, followed by Machine Learning, Social Media, Mobile Applications, Google Trends, and Web Applications. DHIs were integrated, as evidenced by the deployment of many DHIs simultaneously in a single Dengue surveillance program.

Conclusion:
Future research should concentrate on finding more efficient ways to combine all available data sources and approaches to improve data completeness and predictive model precision and identify Dengue outbreaks early.
Comparative and Microscopic Analysis of Vehicle Startup Behavior in Red Countdown Traffic Lights with Various Display Forms
Authors: Fujita Motohiro 
Published: February 2024

Background:
Countdown-type traffic lights provide drivers with the time remaining before the signal turns green or red. Most countdown devices inform the drivers of the exact signal switching time numerically on a display form. This study focuses on two vehicle startup behaviors when a red signal phase countdown (RC) is displayed: a premature start (PS) and an early reaction (ER). The PS is a vehicle crossing the stop line before the green phase, and the ER is a vehicle starting to move before the green phase. While there are many studies on PS rates under RC, there are only a few studies on ER rates. There are also few studies that have analyzed the relationship between the PS and ER rates and the display forms of RC have also been analyzed in terms of micro-behavior.

Objective:
This study microscopically analyzes the ER and PS by including data within 1 second at signal switching while comparing 10 types of display forms in RC in order to obtain the ideas of safer and more efficient display forms in signal countdown.

Methods:
We conducted the experiments with RC traffic lights of different display forms, and the surveys of no countdown (NC).

Results:
From the very limited conditions of the experiment, we found that there is a threshold at which the ER rates in RC and NC differ significantly.

Conclusion:
We were also able to analyze the basic characteristics related to the display forms of RC, which is a quick start and which reduces PS and ER.
A corpus-based analysis of discourse marker 'like' functions in podcasts: A gender study
Authors: Surya Putri Zahrotul Nur Azizah , Nugroho Suray Agung 
Published: February 2024

Focusing on the use of discourse markers (DM), this study investigated the use of DM like in dyadic communication in American Spotify podcasts. This research aimed to understand the linguistic behavior of podcasters in using DM like during their podcasts and to compare the spoken corpus of female and male speakers collected from the podcast. Corpus analysis assisted by AntConc 3.5.9. was applied to determine (1) which gender primarily used DM like within the corpus, (2) the significance between the usage of DM like and the speaker’s gender, and (3) the functions of using DM like by each gender based on Müller’s (2005) taxonomy of DM like functions. The analysis portrayed that male speakers prefer to use DM like more than female podcast speakers, which is in contrast to previous studies claiming that female speakers used more DM like than male speakers. The difference in results could be attributed to the 17-year gap in the study, which has potentially led to changes in the inclination of using DM like between genders. However, despite male speakers’ higher usage of DM like, there is still no correlation between the use of DM like and the speaker’s gender, aligning with previous research. Lastly, this study revealed that both genders used the same DM like functions, although the occurrences varied.
Importance of Patient History in Artificial Intelligence–Assisted Medical Diagnosis: Comparison Study
Authors: Fukuzawa Fumitoshi , Yanagita Yasutaka , Yokokawa Daiki , Uchida Shun , Yamashita Shiho , Li Yu , Shikino Kiyoshi , Tsukamoto Tomoko , Noda Kazutaka , Uehara Takanori , Ikusaka Masatomi 
Published: February 2024

Abstract

Background
Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician’s confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first proposed more than 70 years ago. Recently, its role in various fields of medicine has grown remarkably. However, no studies have evaluated the importance of patient history in AI-assisted medical diagnosis.

Objective
This study explored the contribution of patient history to AI-assisted medical diagnoses and assessed the accuracy of ChatGPT in reaching a clinical diagnosis based on the medical history provided.

Methods
Using clinical vignettes of 30 cases identified in The BMJ, we evaluated the accuracy of diagnoses generated by ChatGPT. We compared the diagnoses made by ChatGPT based solely on medical history with the correct diagnoses. We also compared the diagnoses made by ChatGPT after incorporating additional physical examination findings and laboratory data alongside history with the correct diagnoses.

Results
ChatGPT accurately diagnosed 76.6% (23/30) of the cases with only the medical history, consistent with previous research targeting physicians. We also found that this rate was 93.3% (28/30) when additional information was included.

Conclusions
Although adding additional information improves diagnostic accuracy, patient history remains a significant factor in AI-assisted medical diagnosis. Thus, when using AI in medical diagnosis, it is crucial to include pertinent and correct patient histories for an accurate diagnosis. Our findings emphasize the continued significance of patient history in clinical diagnoses in this age and highlight the need for its integration into AI-assisted medical diagnosis systems.