bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing Microfluidic Channel Design with High-Performance Materials for Safe Neonatal Drug Delivery
Authors: Archana T. , Nachammai N. , Praveenkumar S. 
Published: July 2024

Introduction:
Designing the microfluidic channel for neonatal drug delivery requires
proper considerations to enhance the efficiency and safety of drug substances when used in neonates.
Thus, this research aims to evaluate high-performance materials and optimize the channel design
by modeling and simulation using COMSOL multiphysics in order to deliver an optimum flow
rate between 0. 3 and 1 mL/hr.

Methods:
Some of the materials used in the study included PDMS, glass, COC, PMMA, PC, TPE,
and hydrogels, and the evaluation criterion involved biocompatibility, mechanical properties, chemical
resistance, and ease of fabrication. The simulation was carried out in the COMSOL multiphysics
platform and demonstrated the fog fluid behavior in different channel geometries, including
laminar flow and turbulence. The study then used systematic changes in design parameters with the
aim of establishing the best implementation models that can improve the efficiency and reliability
of the drug delivery system. The comparison was based mostly on each material and its appropriateness
in microfluidic usage, primarily in neonatal drug delivery. The biocompatibility of the developed
materials was verified using the literature analysis and adherence to the ISO 10993 standard,
thus providing safety for the use of neonatal devices. Tensile strength was included to check
the strength of each material to withstand its operation conditions. Chemical resistance was also
tested in order to determine the compatibility of the materials with various drugs, and the possibility
of fabrication was also taken into consideration to identify appropriate materials that could be used
in the rapid manufacturing of the product.

Results:
The results we obtained show that PDMS, due to its flexibility and simplicity in simulation
coupled with more efficient channel designs which have been extracted from COMSOL, present a
feasible solution to neonatal drug delivery.

Conclusion:
The present comparative study serves as a guide on the choice of materials and design
of microfluidic devices to help achieve safer and enhanced drug delivery systems suitable for the
delicate reception of fragile neonates.
Nanocarriers for Cannabinoid Delivery: Enhancing Therapeutic Potential
Authors: Singh Varun , Vihal Samar , Rana Rupali , Rathore Charul 
Published: July 2024

:
Medical cannabis has potential therapeutic benefits in managing pain, anxiety, depression,
and neurological and movement disorders. Phytocannabinoids derived from the cannabis plant
are responsible for their pharmacological and therapeutic properties. However, the complexity of
cannabis components, especially cannabinoids, poses a challenge to effective medicinal administration.
Even with the increasing acceptance of cannabis-based medicines, achieving consistent bioavailability
and targeted distribution remains difficult. Conventional administration methods are
plagued by solubility and absorption problems requiring innovative solutions. After conducting a
thorough review of research papers and patents, it has become evident that nanotechnology holds
great promise as a solution. The comprehensive review of 36 research papers has yielded valuable
insights, with 7 papers reporting enhanced bioavailability, while others have focused on improvements
in release, solubility, and stability. Additionally, 19 patents have been analyzed, of which 7
specifically claim enhanced bioavailability, while the remaining patents describe various formulation
methods. These patents outline effective techniques for encapsulating cannabis using nanocarriers,
effectively addressing solubility and controlled release. Studies on the delivery of cannabis
using nanocarriers focus on improving bioavailability, prolonging release, and targeting specific areas.
This synthesis highlights the potential of nanotechnology to enhance cannabis therapies and
pave the way for innovative interventions and precision medicine.
Socioeconomic Disparities in Six Common Cancer Survival Rates in South Korea: Population-Wide Retrospective Cohort Study
Authors: Lee JinWook , Park JuWon , Kim Nayeon , Nari Fatima , Bae Seowoo , Lee Hyeon Ji , Lee Mingyu , Jun Jae Kwan , Choi Kui Son , Suh Mina 
Published: July 2024

Abstract

Background
In South Korea, the cancer incidence rate has increased by 56.5% from 2001 to 2021. Nevertheless, the 5-year cancer survival rate from 2017 to 2021 increased by 17.9% compared with that from 2001 to 2005. Cancer survival rates tend to decline with lower socioeconomic status, and variations exist in the survival rates among different cancer types. Analyzing socioeconomic patterns in the survival of patients with cancer can help identify high-risk groups and ensure that they benefit from interventions.

Objective
The aim of this study was to analyze differences in survival rates among patients diagnosed with six types of cancer—stomach, colorectal, liver, breast, cervical, and lung cancers—based on socioeconomic status using Korean nationwide data.

Methods
This study used the Korea Central Cancer Registry database linked to the National Health Information Database to follow up with patients diagnosed with cancer between 2014 and 2018 until December 31, 2021. Kaplan-Meier curves stratified by income status were generated, and log-rank tests were conducted for each cancer type to assess statistical significance. Hazard ratios with 95% CIs for any cause of overall survival were calculated using Cox proportional hazards regression models with the time since diagnosis.

Results
The survival rates for the six different types of cancer were as follows: stomach cancer, 69.6% (96,404/138,462); colorectal cancer, 66.6% (83,406/125,156); liver cancer, 33.7% (23,860/70,712); lung cancer, 30.4% (33,203/109,116); breast cancer, 91.5% (90,730/99,159); and cervical cancer, 78% (12,930/16,580). When comparing the medical aid group to the highest income group, the hazard ratios were 1.72 (95% CI 1.66‐1.79) for stomach cancer, 1.60 (95% CI 1.54‐1.56) for colorectal cancer, 1.51 (95% CI 1.45‐1.56) for liver cancer, 1.56 (95% CI 1.51‐1.59) for lung cancer, 2.19 (95% CI 2.01‐2.38) for breast cancer, and 1.65 (95% CI 1.46‐1.87) for cervical cancer. A higher deprivation index and advanced diagnostic stage were associated with an increased risk of mortality.

Conclusions
Socioeconomic status significantly mediates disparities in cancer survival in several cancer types. This effect is particularly pronounced in less fatal cancers such as breast cancer. Therefore, considering the type of cancer and socioeconomic factors, social and medical interventions such as early cancer detection and appropriate treatment are necessary for vulnerable populations.
Einleitung: Aufklärung, Willkürherrschaft und Toleranz nach Kant
Authors: Bianchi Sarah 
Published: July 2024

Am 22. April 2024 war Immanuel Kants 300. Geburtstag. Sein Werk ist bis heute zentraler Bestandteil der Philosophie überhaupt und insbesondere auch der politischen Philosophie, der Rechtsphilosophie und der Sozialphilosophie. 2024 ist zudem das 240. Jubiläum von Kants wirkmächtigem Essay „Beantwortung der Frage: Was ist Aufklärung?“ (1784). Aufklärung, so schreibt Kant darin, beinhaltet die Aufdeckung und Befreiung von der Macht politischer, sozialer und religiöser „Vormünder“[1], die die aufklärerischen Subjekte in ihrem moralischen Recht auf gleiche und freie Co-Autorschaft im „Reich der Zwecke“[2] einschränken. Kants Aufklärungsbegriff gehört auch heute zu einem der bedeutendsten Schlüsselbegriffe in der zeitgenössischen Philosophie, etwa in der Frage nach der dritten oder neuen Aufklärung (Hilary Putnam, Michael Hampe, Corine Pelluchon). Dass Kants Aufklärungsverständnis auch eine zentrale Rolle in der zeitgenössischen, zentral diskutierten, neorepublikanischen Debatte um Nicht-Beherrschung (Philip Pettit) spielen könnte, wird derzeit eher weniger gesehen, auch wenn Kant in dieser Debatte natürlich präsent ist (Rainer Forst, Dorothea Gädeke, Tamara Jugov, Peter Niesen, Arthur Ripstein, Laura Valentini). Der Schwerpunkt der Zeitschrift für Praktische Philosophie nimmt Kants Jubiläumsjahr nun zum Anlass, um Schlaglichter auf Kants kritisch konstruktives Verständnis von Aufklärung zu werfen, es kritisch zu hinterfragen und seine Relevanz für Gegenwart und Zukunft herauszuarbeiten. Die Einleitung unternimmt dies mit Hinblick auf das Verhältnis von Aufklärung, Willkürherrschaft und Toleranz.

[1] WA, 8, 35.
[2] G, 4, 433.
Self-perception and self-recognition of facial profiles in adolescents referred to orthodontic treatment
Authors: Blagec Tadeja , Milatić Katja , Markusi Matea , Šimunović Luka , Meštrović Senka 
Published: July 2024

ABSTRACT

Objectives
To investigate self-recognition and self-perception among participants with straight, convex, and concave profiles.

Materials and Methods
This cross-sectional study was conducted using a questionnaire with questions about demographic information, self-perception of the facial profile, satisfaction with profile esthetics, expectations about profile changes after completing orthodontic treatment, motivational factors, and self-recognition. For the self-recognition question, profiles of the respondents were blackened and inserted into the questionnaire. Participants were categorized into three groups: those exhibiting a convex, straight, and concave profile.

Results
There was no statistically significant difference between the straight, concave, and convex profile groups regarding self-recognition and self-perception. Participants showed greater ability in self-recognition than self-perception of their soft-tissue profile (P = .001). Females showed higher capability in self-perception than males (P = .001).

Conclusions
Self-recognition and self-perception of the soft-tissue profile are not influenced by facial convexity.
Energy Intake and Dietary Glycemic Load in Late Morning and Risk of Type 2 Diabetes: The Hispanic Community Health Study/Study of Latinos—A Multicenter Prospective Cohort Study
Authors: Dai Jin , Nianogo Roch , Wong Nathan D. , Moin Tannaz , McClain Amanda C. , Alver Sarah , Cordero Christina , Daviglus Martha L. , Qi Qibin , Sotres-Alvarez Daniela , Chen Liwei 
Published: July 2024

OBJECTIVE
To evaluate the association between meal timing and type 2 diabetes risk in U.S. Hispanic/Latino adults.

RESEARCH DESIGN AND METHODS
The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) is a multicenter, community-based, prospective cohort study. This study included 8,868 HCHS/SOL adults without diabetes at baseline (2008–2011) and attending the visit 2 examination (2014–2017). Energy intake and glycemic load (GL) in each meal timing were assessed at baseline using two 24-h dietary recalls. Incident diabetes was identified through annual follow-up calls or at visit 2. Hazard ratios (HRs) for incident diabetes were estimated using Cox models, accounting for the complex survey design.

RESULTS
The study population (50.9% female) had a baseline mean age of 39.0 (95% CI, 38.4–39.5) years. Over a median (range) follow-up of 5.8 (0.8–9.6) years, 1,262 incident diabetes cases were documented. Greater energy intake and GL in late morning (9:00–11:59 a.m.) were associated with a lower diabetes risk, whereas greater energy intake and GL in other meal timings were not. After accounting for diet quantity and quality, sociodemographic characteristics, lifestyle factors, and chronic conditions, the HRs were 0.94 (95% CI, 0.91–0.97) per 100-kcal energy intake increment and 0.93 (0.89–0.97) per 10-unit GL increment in late morning. Replacing energy intake or GL from early morning (6:00–8:59 a.m.), afternoon (12:00–5:59 p.m.), or evening (6:00–11:59 p.m.) with late-morning equivalents was associated with a comparably lower diabetes risk.

CONCLUSIONS
This study identified late morning as a favorable meal timing in Hispanic/Latino adults, providing a novel perspective on type 2 diabetes prevention that warrants confirmation.
Knowledge Graph Oriented Apparel Digital Design and Practice
Authors: Wang Xiaolin 
Published: July 2024

Abstract
This paper mainly utilizes a knowledge graph to construct a two-way fusion clothing design system. The article is based on the model to extract the knowledge graph relationship of clothing and apparel, and the apriori association rule algorithm is used to mine the user’s preferences, and then the clothing is designed by digital technology. In the end, it examines the interconnectedness of the knowledge graph and the effect of recognition on different fabrics. The consumer’s satisfaction and attention to the impact of digitalized clothing design were studied, and the accuracy of clothing design size was explored. The study showed that the clothing design size error was kept within ±2%, and the overall customer satisfaction with the clothing design was between (3.9 and 4.35) with high overall satisfaction. This study can improve the design quality of apparel brands, reduce production costs, and provide new ideas and directions for future apparel design in the digital era.
Research on the Integration of Traditional Music Elements into Multimodal Music Teaching Models and Applications
Authors: Li Ning 
Published: July 2024

Abstract
This paper integrates the learning characteristics of students in music classrooms, focusing on auditory and visual modalities to design a student-centered multimodal music teaching approach. The LMS filter is used to process the noise of traditional music, the constant Q transformation is used to specify the pitch, and the traditional music elements are presented visually. Next, we evaluate the combination of modes in the multimodal music teaching classroom and develop a multimodal music teaching program that incorporates traditional music elements. The evaluation of the multimodal music teaching design is based on the degree of integration of conventional music elements and the effectiveness of multimodal teaching. Briefly analyze the integration of conventional music elements in music teaching at the present stage, unite the advantages of the multimodal teaching mode, and put forward the teaching suggestions on the three levels of teaching principles, teaching methods, and teaching resources. In general, students’ acceptance of the integration of traditional music elements is good, and the percentage of auditory and visual modes used in multimodal music teaching is the highest, followed by action and visual modes.
Research on the innovation system of physical climbing in college physical education under big data technology
Authors: Xiao Suilong , Huang He , Wang Weilin 
Published: July 2024

Abstract
Rock climbing, as one of the outdoor sports gradually sought after by young people nowadays, plays an important role in innovating the traditional physical education system. This study integrates the training related to physical rock climbing with the conventional college physical education system and utilizes a synergistic teaching method to innovate and improve the college physical education system. Through the implementation of rock-climbing teaching experiments for students in school A, the data related to the experiments were analyzed using the literature method, questionnaire survey method, and mathematical statistics method to explore the effectiveness of the practical application of physical rock-climbing in college physical education. In terms of physical function, the heart rate indexes of students in the experimental group decreased by 8.96 and 9.08, respectively, and the lung capacity and anaerobic threshold were significantly improved, but the male students did not show any significant improvement in the index of maximal oxygen uptake. Except for the lower limb stirrup strength, the p-value of the experimental group of students in seated forward bending, dorsal extension, left-handed grip strength, right-handed grip strength, back strength, and longitudinal jump were all less than 0.05. The capacity of motor memory of the experimental group was higher than that of the control group by 2.91. In terms of social functioning, compared to the control group of students, all the experimental groups showed stronger characteristics.
Study on the law of acupuncture treatment in neurology based on data mining technology
Authors: Yu Shuo , Chen He , Li Jiaxin , Tian Meihui , Wang Hongfeng 
Published: July 2024

Abstract
Acupuncture and moxibustion are increasingly recognized as effective and safe modalities for the management of neurological disorders, garnering substantial interest from both neurologists and patients. This study systematically reviews literature from major databases spanning the years 2012 to 2024 to construct a comprehensive dataset on the acupuncture treatment of neurological diseases. The data were meticulously compiled through a detailed search and screening process, adhering to established principles for data extraction and segmentation. The resultant acupuncture treatment database served as the foundation for subsequent analyses utilizing the association rule algorithm. This advanced computational approach facilitated a deep investigation into the relationships among acupuncture points used in neurological treatments. By employing a complex network analysis, the study identified the optimal distribution of acupuncture points, and cluster analysis further categorized these points for diverse neurological conditions. Our findings indicate that a total of 206 acupuncture points are prevalently used in neurological therapies. The regions of the head, face, and neck are most frequently targeted, with these areas collectively accounting for 1,048 instances of point utilization. Specifically, 124 unique acupuncture points have been identified as particularly effective for neurological applications. The association pairs “Yangbai-Zusanli” and “Sanyinjiao-Zusanli” demonstrated the highest levels of support and confidence, at 96.29% and 48.59% respectively. The core constellation of acupuncture points, comprising “Zhuzhu,” “Yangbai,” “Sizhukong,” “Yuyin,” “Sibai,” “Zusanli,” and “Baihui,” encapsulates the strategic focal areas for enhancing therapeutic outcomes in neurology. The integration of data mining techniques in this research not only underscores the specific patterns in the distribution of acupuncture points but also suggests a potential framework for augmenting the efficacy of treatments for neurological conditions. Through such analytical methodologies, the study contributes to a nuanced understanding of acupuncture’s role in neurology, paving the way for targeted and optimized therapeutic strategies.
Research on the Reform of Educational Management Mode in Big Data Environment
Authors: Zhang Ke 
Published: July 2024

Abstract
The arrival of the big data era, which has been widely used in various industries. In today’s education management mode, in order to improve education development, it is necessary to keep up with the times and reform the education management mode. For this reason, this paper designs an education management model based on the classroom behavior recognition model, which manages students in real time by detecting their classroom behavior status. The classroom behavior recognition model is improved based on the deep learning target detection SSD algorithm. A lightweight model for detecting the behavior of SSD-M3-SFP networks has been designed by replacing the SSD backbone network, VGG, with a MobileNetV3 network after pruning SFPs. Both the speed and accuracy of student behavior recognition can be ensured by the model. Through practical analysis, in the before-and-after analysis of SSD-M3-SFP-based education management model and general education management model, the p-values are 0.001, 0.003, 0.000 on the indicators of the three aspects of education management services, all of which are lower than 0.05, and the difference is significant, and the management effect of SSD-M3-SFP-based education management model is higher than that of general education management model.
Exploration of badminton teaching reform and development ideas in colleges and universities under the background of big data
Authors: Cheng Ronghui , Xiao Shupeng 
Published: July 2024

Abstract
Intelligent wearable devices effectively collect real-time data and physiological indicators of students performing badminton sports activities through the functions of collecting, organizing, and analyzing mobile big data. Meanwhile, the SVM classification algorithm based on data fusion theory is proposed to realize the collection and monitoring of human posture and other signals. The smart wearable device is used as an auxiliary teaching means to help students quickly master basic movement skills, and a 32-credit-hour teaching experiment is conducted to compare and analyze the effect of its teaching impact. It was analyzed that the physical quality and basic skills of hairball of the two groups of students before the experiment were basically similar (P>0.05). The mean values of badminton long-throw movement of the experimental group before the experiment and after the experiment were 4.72 and 5.73, respectively, and showed a significant difference (P<0.01), and the four movements such as forehand serve high long ball were also significantly improved (P<0.01). 43.75% of the students felt that the smart wearable device badminton special learning was of interest. The reform and development of badminton teaching in colleges and universities in the era of big data can be promoted by this paper’s method.
Innovation and Practice of Enterprise Short Video Operation and Management Mode in Melting Media Environment
Authors: Wang Yueji , Liu Yanling , Feng Lei , Cao Wenyang , Bhowbhandee Chanad , Li Yuelin 
Published: July 2024

Abstract
In the contemporary integrated media environment, the innovation of enterprise short video operation and management, as well as the strategic utilization of modern network technologies, are pivotal in amplifying an enterprise’s influence among users on burgeoning integrated media platforms. This study delves into refining the existing recommendation algorithms, which are crucial for enhancing user engagement and retention rates in enterprise short video services. By integrating the Vulture Search Algorithm to optimize the Fuzzy C-Means user clustering technique and leveraging user profiles developed from questionnaire surveys, this research pioneers a novel approach for tailoring the short video recommendation processes. The enhanced algorithm effectively addresses research needs aligned with user pReferencesand enhances the Fuzzy C-Means method. The application of this refined recommendation algorithm demonstrated significant improvements in user stickiness, driven by the recommendations’ accuracy, engagement, enjoyment, and novelty. Factor analysis revealed that these attributes account for 89.553% of the total variance, which highlights their significant impact on user engagement. Consequently, enterprises seeking to innovate their short video operations within the integrated media landscape must prioritize optimizing video recommendation systems to foster user attachment and satisfaction.