bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Association of Allergy-Related and Non-Allergy-Related Olfactory
Impairment with Cognitive Function in Older Adults: Two Cross-
Sectional Studies
Authors: Chen Hui , Ding Yihong , Huang Liyan , Zhong Wansi , Lin Xiaojun , Zhang Baoyue , Zheng Yan , Xu Xin , Lou Min , Yuan Changzheng 
Published: February 2024

Background:
Evidence on the association of Olfactory Impairment (OI) with age-related
cognitive decline is inconclusive, and the potential influence of allergy remains unclear.

Objective:
We aimed to evaluate the cross-sectional associations of allergy-related and non-allergy-
related OI to cognitive function.

Methods:
We included 2,499 participants from the Health and Retirement Study (HRS)-Harmonized
Cognitive Assessment Protocol (HCAP) sub-study and 1,086 participants from the English
Longitudinal Study of Ageing (ELSA)-HCAP. The Olfactory Function Field Exam (OFFE)
using Sniffin’ Stick odor pens was used to objectively assess olfactory function and an olfactory
score <6/11 indicated OI. Mini-Mental Status Examination (MMSE) was used to assess global
cognitive function and define cognitive impairment (<24/30). A neuropsychologic battery was
used to assess five cognitive domains.

Results:
Compared to non-OI participants, individuals with OI had lower MMSE z-score [βHRS =
-0.33, 95% Confidence Interval (CI): -0.41 to -0.24; βELSA = -0.31, -0.43 to -0.18] and higher prevalence
of cognitive impairment (Prevalence Ratio (PR)HRS = 1.46, 1.06 to 2.01; PRELSA = 1.63, 1.26
to 2.11). The associations were stronger for non-allergy-related OI (βHRS = -0.36; βELSA = -0.34)
than for allergy-related OI (βHRS = -0.26; βELSA = 0.13). Similar associations were observed with domain-
specific cognitive function measures.

Conclusion:
OI, particularly non-allergy-related OI, was related to poorer cognitive function in
older adults. Although the current cross-sectional study is subject to several limitations, such as reverse
causality and residual confounding, the findings will provide insights into the OI-cognition
association and enlighten future attention to non-allergy-related OI for the prevention of potential
cognitive impairment.
Fireballs-Like Explosive Peroxides Produced by the Brown-rot Fungus
Authors: Paiva Gerson S. 
Published: February 2024

Abstract:
Fireballs are unusual and rare phenomena usually associated with thunderstorms, although
sometimes they have been observed during earthquakes, volcano eruptions or in fair weather. There
are still questions about their origination, features and interaction with the environment. In this work,
a new model is shown to explain the formation of fireballs in fair weather from poplar cotton and
peroxides produced by brown-rot fungi. Light emission is produced via thermal decomposition of 1,2-
dioxetane phenylcoumarane or 1,2-dioxetane monolignol, from lignin inside the poplar fibers. The
energy released during the explosive decaying of fireballs was calculated as being about 3 kilojoules
for each gram. This value is the same order of magnitude as the estimated for the explosive fireballs
decaying.
Development of Potential Antidiabetic Agents using 2D and 3D QSAR, Molecular Docking and ADME Properties In-silico Studies of α-amylase Inhibitors
Authors: Padvi Kalusing S. , Sarkate Aniket P. , Bhandari Shashikant V. , Kendre Mahadevi V. 
Published: February 2024

Background:
A series of 2-arylbenzimidazole derivatives were designed and developed as
antidiabetic drugs using 2D and 3D QSAR, molecular docking and ADME studies.

Methods:
All molecular modeling studies were performed using Molecular Design Suite V-Life
MDS software. New chemical entities (NCEs) were designed based on the results of 2D and 3D
QSAR studies. Docking studies were performed with the designed NCEs in PDB: 5E0F and the results
were compared with the receptor ligand. According to the ADME results, all the proposed
compounds have good oral absorption, correct molecular weight, QPlogPo/w. All units show oral
absorption above 80%, it is considered well absorbed. All the proposed units show satisfactory results
in the area. This indicated that these NCEs have little or no chance of failure in the final stages
of the drug development process.

Results:
The 2D QSAR results showed that the descriptor k2alpha, T_T_N_5, IodinesCount and
BrominesCount play the most important role in determining the inhibitory activity of α-amylase.
Although 3D QSAR showed that, the q2 and Pred_r2 values of the model (SA kNN MFA model)
were 0.7476 and 0.6932. The G score of the proposed compound numbers mol-1, mol-2, mol-3, mol-
4, mol-5, mol-6, mol-7 and mol-8 are better compared to the standards, indicating that the proposed
compounds have good binding properties affinity to bind to α-amylase.

Conclusion:
These investigations have produced statistically significant and exceptionally reliable
2D and 3D Quantitative Structure-Activity Relationship (QSAR) models for antidiabetic medications,
particularly α-amylase inhibitors. Furthermore, docking experiments involving the α-amylase
enzyme have revealed that the binding energies of most Novel Chemical Entities (NCEs) are comparable
to those of the established standards. Docking studies with α-amylase enzyme showed that
most NCEs have binding energies comparable to the standard.
Neglected Adrenal Hypoplasia Congenita in Two Siblings with Novel Genetic Mutations in NR0B1 Gene and Notable Clinical Course: A Case Report
Authors: Khalili Shayesteh , Zakeri Anahita , Hadaegh Farzad , Zadeh Seyed Saeed Tamehri 
Published: February 2024

Background:
Adrenal Hypoplasia Congenita (AHC) is a rare subtype of primary adrenal
insufficiency (PAI) that can go undiagnosed easily. In this article, we report two brothers
with hypogonadotropic hypogonadism and novel mutations in the NR0B1 gene who were misdiagnosed
and mismanaged as having congenital adrenal hypoplasia (CAH) for several years.

Case Presentation:
Herein, we describe two brothers with similar histories; first, they were diagnosed
with CAH and treated for that; however, after several years, they showed symptoms of
lack of testosterone despite receiving CAH treatment. Low levels of testosterone and LH were
detected in both, and a genetic test of CAH was negative for the first brother. Thereafter, DAX-
1 deficiency was suspected, and their genetic tests (the NR0B1 gene) confirmed the diagnosis of
DAX-1.

Conclusion:
The diagnosis of CAH in case of low levels of 17- OHP, testosterone, and LH, as
well as central hypogonadotropic hypogonadism, should be studied, and further investigations
are mandatory to evaluate other subtypes of PAI, especially AHC.
Development of [64Cu]Cu-NODAGA-RGD-BBN as a Novel Radiotracer for Dual Integrin and GRPR-targeted Tumor PET Imaging
Authors: Amraee Naeimeh , Alirezapour Behrouz , Hosntalab Mohammad , Hadadi Asghar , Yousefnia Hassan 
Published: February 2024

Background:
In this study, [64Cu]Cu-NODAGA-RGD-BBN was prepared and its
preclinical assessments were evaluated for PET imaging of GRPR overexpressing tumors.

Methods:
NODAGA-RGD-BBN heterodimer peptide was successfully labeled with cyclotronproduced
copper-64 at optimized conditions. The radiochemical purity of the radiotracer was
checked by HPLC and RTLC methods. The stability of the radiolabeled compound was assessed
in PBS (4°C) and in human blood serum (37°C). Binding affinity and internalization of
[64Cu]Cu-NODAGA-RGD-BBN were studied on PC3, LNCaP, and CHO cell lines. The biodistribution
of the radiotracer was evaluated in normal and tumor-bearing mice.

Results:
[64Cu]Cu-NODAGA-RGD-BBN was prepared with radiochemical purity >99 ± 0.7%
(HPLC/ITLC) and specific activity of 18.5 ± 2.2 TBq/mmol. The radiotracer showed high stability
in PBS (95 ± 1.05%) and in human blood serum (96 ± 1.24%) and, high affinity to the
GRP expressing tumor cells. [64Cu]Cu-NODAGA-RGD-BBN showed hydrophilic (log p =
-1.14) and agonistic nature. The biodistribution and imaging studies demonstrated high uptake
at the tumor site at all intervals post-injection and 3-4 h post-injection can be considered an appropriate
time of imaging.

Conclusion:
The results indicated that [64Cu]Cu-NODAGA-RGD-BBN radiolabeled heterodimer
peptide can be considered as a high-potential agent for PET imaging of GRPRoverexpressing
tumors.
Monteverdia ilicifolia as a Herbal Medicine for Treating Gastric Disorders: An Insight into its Quality Control
Authors: de Almeida Gomes Luciana , Pinto Ferreira José Luiz , de Andrade Silva Jefferson Rocha , Amaral Ana Claudia Fernandes , de Souza Ramos Aline 
Published: February 2024

Background:
Monteverdia ilicifolia, popularly known as “espinheira santa”, is a plant
native to southern Brazil and is widely used in popular therapeutics to treat gastric disturbances. M.
ilicifolia is commonly adulterated, intentionally or not, with the plant species Zollernia ilicifolia and
Sorocea bonplandii due to the morphological similarity of their leaves.

Objective:
The aim of this review was to search for changes in the quality control method of M. ilicifolia
products to support the correct identification of the botanical species. In addition, the search
covered clinical studies, patents, and registered products of herbal medicines based on M. ilicifolia.

Methods:
This study is an integrative literature review that was developed using databases, indexed
articles, and books. The bibliographic searches were performed using Scopus®, SciFinder®, Scielo®,
and Science Direct®. Patent documents and herbal medicines containing M. ilicifolia were searched
in the INPI and WIPO databases.

Results:
The pharmacological activities of M. ilicifolia, the main chemical constituents, and leaf
morpho-anatomical characteristics of Monteverdia spp., Z. ilicifolia, and S. bonplandii were summarized.
The results also demonstrated herbal medicines based on M. ilicifolia marketed in Brazil, patents
in Brazil, and patents in the world market.

Conclusion:
Quality control for the species M. ilicifolia presents opportunities for improvement. The
officially recommended method presents weaknesses concerning species identification. Other chemical
markers should be included in the chromatographic analyses. There are seven medicines with
valid registrations in Brazil. Furthermore, patents filed in Brazil and at WIPO demonstrate that M.
ilicifolia has therapeutic potential in the world market.
The Impact of Genetic Polymorphisms in (STIM1 and ORAI1) on Erythropoietin Resistance in Patients with Chronic Renal Failure on Hemodialysis in Iraq
Authors: Alsabbagh Farah f. , Mosa Amal Umran , Abo Almaali H.M. , Jafer Hasanain Salah 
Published: February 2024

Objective: This study aims to investigate the correlation between genetic polymorphisms in store-operated calcium channels (SOCs) signaling and resistance to erythropoietin treatment in patients with chronic renal failure (CRF). Anemia is a significant complication of CRF, and understanding the genetic factors contributing to resistance could provide insights into potential mechanisms influencing treatment outcomes. Specifically, the focus is on exploring the relationship between SOCs, a pathway activated by erythropoietin, and resistance to address the challenges associated with anemia in CRF patients.
Methods: In this study, a single nucleotide polymorphism in each STIM1 and ORAI1 gene was selected. Genotyping was done by using allele specific polymerase chain reaction technique and the data was analyzed through the Statistical Package for the Social Sciences. 112 patients with CRF on hemodialysis were enrolled 58.9% of them were men and the mean age was 50.94±13.42.
Results: We found that CC genotype of ORAI1 gene has a higher hemoglobin level, AA genotype of STIM1 has a higher EPO level, the interaction of the two genes showed that CCGG group has a higher Hb level and is considered good responder but represents only 4.5% of the patients
Conclusion: After all the genetic polymorphisms of SOCs genes ORAI1 and STIM1 have no significant impact on erythropoietin resistance in patients with CRF on hemodialysis in Iraq.
PERANCANGAN FILM DOKUMENTER KERIS KERATON SURAKARTA SEBAGAI UPAYA PELESTARIAN WARISAN LELUHUR BUDAYA BANGSA
Authors: Firmansyah Andre , Tumimomor Anthony Y.M. 
Published: February 2024

Keris merupakan salah satu warisan budaya Indonesia yang perlu dilestarikan, dan dikenalkan untuk generasi sekarang. Berdasarkan hasil penelusuran yang dilakukan, ditemukan data bahwa masih adanya masyarakat Surakarta yang beranggapan bahwa keris hanya digunakan sebagai pajangan atau jimat yang masih disangkut-pautkan dengan hal-hal yang berkaitan mistis. Selain itu kurangnya kesadaran masyarakat akan pengetahuan tentang keris dan adanya perbedaan antara keris dalam keraton dan luar keraton Surakarta masih sangat minim di masyarakat. Sehingga perlu adanya media informasi yang mampu memperkenalkan dan memberikan informasi mengenai keris Keraton dan perbedaan keris ini dengan keris luar Keraton melalui media audio visual, salah satunya adalah film dokumenter. Penelitian ini menerapkan metode kualitatif dan strategi linier dalam proses perancangan film dokumenter, sehingga diharapkan mampu menghasilkan media informasi audio visual yang dapat memberikan pengenalan secara detail dan aktual mengenai detail keris dalam keraton dan perbedaanya dengan keris luar keraton kepada masyarakat Surakarta secara khusus dan masyarakat Indonesia secara umum.
The Modern Construction of Spatial Narrative and Artistic Aesthetic Value of Han Portraits in the Internet Era
Authors: Huang Jie 
Published: February 2024

Abstract
In this paper, firstly, the index system for evaluating the value of spatial narrative and artistic aesthetics of Han portraits is determined, the judgment matrix is constructed by using the AHP method, and the relative weight coefficients of the indexes are calculated. Then the two-by-two judgment matrix of the indicators is given, the sum-product method is used to solve the judgment matrix, and the relative fuzzy affiliation degree of each evaluation indicator is solved by establishing the fuzzy evaluation subset and the fuzzy evaluation rubric set, and then combined with the weight value, a comprehensive calculation is carried out to solve the problem, to seek to take the spatial narrative of the Han portraits as well as the artistic and aesthetic educational value of the embodied level. On this basis, the spatial narrative of Han portraits is divided into evaluation levels, and the artistic aesthetic perception and aesthetic education function scores of the three Han portrait exhibition sites, H1, H2, and H3, are compared horizontally. The results show that the evaluation levels of external conditions, narrative means, narrative content, and narrative soft environment indicators of spatial narrative are 83.9, 69.9, 79.9, and 78.4 respectively, all of which are more than 70. The aesthetic perception levels of the three Han portrait exhibition sites of H1, H2, and H3 in Q are between (50, 90), and the levels of aesthetic and educational function indicators are between (85, 92). This study creates conditions for the better development of Han portraits, and to a certain extent, it also provides a reference for the development of spatial narrative and artistic aesthetic education of other similar Han portraits.
Research on the Sustainable Development and Operation Mechanism Construction of Civic Education Management Path in Colleges and Universities in the Context of Digital Intelligence
Authors: Guo Chao 
Published: February 2024

Abstract
This paper proposes a split hierarchical cluster analysis algorithm to study the management of political education in colleges and universities. The data mining object of a university is selected, and the initial data for the study of ideological and political education and management is obtained by issuing the questionnaire of “quantitative assessment form for counselors”, and the data is optimized by clustering the data with dissimilarity matrices. Based on completing the pre-processing of the research data, the combination of statistical analysis and simulation analysis is used to analyze the example of the management of college civic education in the context of digital intelligence. The results show that when K is equal to 2, both clusters have similar thickness and size, so it is more appropriate to select K=2 to cluster analysis of each crisis group of ideological and political education management, indicating that the split-level cluster analysis algorithm helps to promote the interconnection of the ideological and political education management work. This study can improve the level and overall quality of college students’ ideological and political education in an all-round way, create a high-level management mode of ideological and political education and promote the sustainable development of ideological and political education in colleges and universities.
Cultivation of Core Literacy of Physical Education Professionals in Private Colleges and Universities Based on the Background of Data Mining
Authors: Feng Junwei 
Published: February 2024

Abstract
The purpose of this paper is to analyze the main types of core literacy of sports professionals in colleges and universities using association rules and the XGBoost algorithm. Combined with the confidence rule in association analysis, it finds out the minimum support degree of all the core qualities that satisfy the core qualities of sports professionals in colleges and universities. The efficiency of modeling talent demand can be improved by using the Apriori algorithm. Adding new regression trees sequentially based on the original model using the XGBoost algorithm. The college sports talent demand model was constructed by combining association rules and the XGBoost algorithm. Based on the results, composite talents, professional talents, and application talents are the main types of sports professional talent cultivation positioning. The cultivation ratio of sports composite talents in University A is 0.7, and the cultivation ratio of application composite talents is 0.6. The school’s requirements for sports talent’s ability are the highest, resulting in a cultivation ratio of 0.75 for sports talent. This study promotes, to a certain extent, the cultivation of sports professionals in colleges and universities.
Differential diagnostic value of benign and malignant solid lung nodules based on deep learning
Authors: Wu Xiaoyu , Tang Hua 
Published: February 2024

Abstract
There are numerous imaging methods for clinical screening and diagnosis of solid lung nodules, but they all have certain limitations. This paper selected patients with lung nodules in the People’s Hospital of Province X as an example. C.T. scans were performed on the patients with lung nodules to obtain their imaging histologic features. Then, based on the generative adversarial network in deep learning and using self-supervised learning to optimize the generative negative discriminator, a semi-supervised GAN model was established for the identification and predictive diagnosis of benign and malignant solid lung nodules. A regression analysis model was constructed and data analysis was performed to identify the independent risk factors related to the malignancy of solid lung nodules. The results showed that the patient’s tumor diameter became the most significant independent risk factor for the benign-malignant nature of lung nodules, with an OR of 3.421, which showed a significant difference at the 1% level. The I.C.C. value of each feature of solid lung nodules was more critical than 0.85 in the impactomics feature screening, and the A.U.C. value of benign and malignant prediction diagnosis of solid lung nodules using semi-supervised GAN model reached 0.98. Combining CT impactomics with deep learning can improve the differential prediction of benign and malignant diagnosis of solid lung nodules, which can provide high value for the clinical workers to treat solid lung nodules. The combination of C.T. impactomics and deep learning can improve the differential diagnosis of benign and malignant solid lung nodules and provide high value for clinical workers to treat solid lung nodules.
A Review of Object Detection in Traffic Scenes Based on Deep Learning
Authors: Zhao Ruixin , Tang SaiHong , Supeni Eris Elianddy Bin , Rahim Sharafiz Bin Abdul , Fan Luxin 
Published: February 2024

Abstract
At the current stage, the rapid Development of autonomous driving has made object detection in traffic scenarios a vital research task. Object detection is the most critical and challenging task in computer vision. Deep learning, with its powerful feature extraction capabilities, has found widespread applications in safety, military, and medical fields, and in recent years has expanded into the field of transportation, achieving significant breakthroughs. This survey is based on the theory of deep learning. It systematically summarizes the Development and current research status of object detection algorithms, and compare the characteristics, advantages and disadvantages of the two types of algorithms. With a focus on traffic signs, vehicle detection, and pedestrian detection, it summarizes the applications and research status of object detection in traffic scenarios, highlighting the strengths, limitations, and applicable scenarios of various methods. It introduces techniques for optimizing object detection algorithms, summarizes commonly used object detection datasets and traffic scene datasets, along with evaluation criteria, and performs comparative analysis of the performance of deep learning algorithms. Finally, it concludes the development trends of object detection algorithms in traffic scenarios, providing research directions for intelligent transportation and autonomous driving.
Exploring the Digital Transformation Path of Small and Medium-sized Enterprises under the fsQCA Approach for Sustainable Competitive Advantage
Authors: Lu Huie 
Published: February 2024

Abstract
This paper combines the DEA-Malmquist index model and the fsQCA method, and applies them together in studying the exploration of digital transformation paths of small and medium-sized enterprises. First, the data of a traditional company from 2018 to 2022 is selected as the initial research sample, and the data of the sample enterprise is organized. Then, according to the data type of each condition and result, the data were converted into affiliation scores by applying the direct calibration method. The calibrated data were entered into the fsQCA 3.0 software for the necessary conditions test, and the sufficiency antecedent group state analysis was performed for high-level digital transformation. Finally, the performance of enterprises after digital transformation was analyzed in terms of 2 aspects: profitability and operational capacity. The results show that there are 4 paths of high-level digital transformation for SMEs: aspiring firm-led, aspiring government-led, aspiring firm-against-against-against-government synergistic and aspiring firm-against-efficient-market synergistic. The operating margin of transformed enterprises is significantly higher than that of non-transformed and the industry average, with a minimum value of 6.51% in 2021, which is much higher than that of non-transformed. The operating cycle of pre-transformation firms stays at 100-240 days in 2018-2022, which is significantly higher than the level of 80-100 days in the post-transformation period.