bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Patent Analysis on Nano Drug Delivery Systems
Authors: Li Dengyu , Luo Wen , Yin Shengwei , Wang Ying , Zhao Yanqing , Zhu Shiwei , Yu Junfeng , Yang Ping , Zhang Lina , Xi Zhuyan 
Published: July 2024

Background:
A nano drug delivery system is an effective tool for drug delivery and controlled
release, which is used for a variety of medical applications. In recent decades, nano drug delivery
systems have been significantly developed with the emergence of new nanomaterials and
nanotechnologies.

Objective:
This article aimed to provide insight into the technological development of nano drug
delivery systems through patent analysis.

Methods:
3708 patent documents were used for patent analysis after retrieval from the Incopat patent
database.

Results:
The number of patents on nano drug delivery systems has shown a rapid growth trend in
the past two decades. At present, China and the United States have obvious contributions to the
number of patents. According to the patent data, the nanomaterials used in nano drug delivery system
are mainly inorganic nanomaterials, lipid-based nanomaterials, and macromolecules. In recent
years, the highly cited patents (≥14) for nano drug delivery systems mainly involve lipid-based nanomaterials,
indicating that their technology is mature and widely used. The inorganic nanomaterials
in drug delivery have received increasing attention, and the number of related patents has increased
significantly after 2016. The number of highly cited patents in the United States is 250,
which is much higher than in other countries.

Conclusion:
Even after decades of development, nano drug delivery systems remain a hot topic for
researchers. The significant increase in patents since 2016 can be attributed to the large number of
new patents from China. However, according to the proportion of highly cited patents in total, China's
patented technologies in nano drug delivery systems are not advanced enough compared to developed
countries, including the United States, Canada, Germany, and France. In the future, research
on emerging nanomaterials for nano drug delivery systems, such as inorganic nanomaterials,
may focus on developing new materials and optimising their properties. The lipid-based and polymer-
based nanomaterials can be continuously improved for the development of new nanomedicines.
Polythiophene/Copper Vanadate Nanoribbons and their Electrochemical Sensing Properties for Detecting Benzoic Acid
Authors: Zhu Xingxing , Zhang Yong , Cong Qianmin , Cai Zhengyu , Pei Lizhai 
Published: July 2024

Background:
Excessive intake of benzoic acid may cause serious diseases, including
disordered metabolism, abdominal pain, and diarrhea. Hence, it is important to explore a reliable
method to determine the quantity of benzoic acid for protecting human health. In this regard, polythiophene/
copper vanadate nanoribbon composites act as electrode materials for the detection of
benzoic acid.

Objective:
The objective of this research was to synthesize polythiophene/copper vanadate nanoribbons
via an in-situ polymerization approach and evaluate their electrochemical performance for the
detection of benzoic acid.

Methods:
Polythiophene/copper vanadate nanoribbons were obtained via an in-situ polymerization
approach. The obtained composite nanoribbons were analyzed using X-ray diffraction, electron microscopy,
Fourier Transform Infrared Spectroscopy, and electrochemical method.

Results:
Amorphous polythiophene nanoparticles with a size of less than 100 nm were homogeneously
attached to the copper vanadate nanoribbons. Electrochemical sensing properties of the polythiophene/
copper vanadate nanoribbons modified electrode for detecting benzoic acid were analyzed
using the Cyclic Voltammetry (CV) method. An irreversible CV peak was observed at +0.36
V in 0.1 M KCl solution with 2 mM benzoic acid. The polythiophene/copper vanadate nanoribbons
modified electrode indicated a linear range of 0.001-2 mM with the limit of detection (LOD) of
0.29 μM.

Conclusion:
Polythiophene greatly enhanced the electrochemical sensing properties of copper vanadate
nanoribbons. Polythiophene/copper vanadate nanoribbons modified electrode was found to be
stable and repeatable owing to the synergistic effect of various components.
Herbal Antibiotics: A Review of Traditional Medicinal Plants with Antibacterial Properties and Their Potential for Future Treatment
Authors: Ramesh Shirode Prashant , Karajgi Santosh , Singh Riya , Naik Pravin , Sahoo Ujjwal , Sharma Mukesh Chandra , Nainwal Pankaj , Wal Ankita 
Published: July 2024

Background:
The active ingredient in medicinal herbs has a considerable therapeutic
impact. Historically, medicinal plants have been critical in helping people recover from unfavorable microbial infection-related illnesses. Therefore, we can use these plants as raw materials
to make antibiotics.

Objectives:
To summarize, several traditional herbs have antibacterial properties, and their use
as a therapy option offers a successful treatment approach.

Methodology:
A detailed study of literature was started by looking through many data sets from
the Herbalist Library and well-known scientific databases like the Cochrane Library, PubMed,
ScienceDirect, Web of Science, and Google Scholar. Literature focusing on herbs having antibiotic potential, specifically in the English language, from the years 1980 to 2023 was considered
to be included in this review.

Result:
In this review article, all the natural herbal antibiotics are summarised with their pharmacological effects as well as the active components responsible for their biological role. The
current analysis provides thorough information on many medicinal plants examined over the last
few decades in order to investigate possible herbal antibiotics for future treatment.
Beta Test of a Christian Faith-Based Facebook Intervention for Smoking Cessation in Rural Communities (FaithCore): Development and Usability Study
Authors: Sharma Pravesh , Tranby Brianna , Kamath Celia , Brockman Tabetha A , Lenhart Ned , Quade Brian , Abuan Nate , Halom Martin , Staples Jamie , Young Colleen , Brewer LaPrincess , Patten Christi 
Published: July 2024

Background
Individuals living in rural communities experience substantial geographic and infrastructure barriers to attaining health equity in accessing tobacco use cessation treatment. Social media and other digital platforms offer promising avenues to improve access and overcome engagement challenges in tobacco cessation efforts. Research has also shown a positive correlation between faith-based involvement and a lower likelihood of smoking, which can be used to engage rural communities in these interventions.

Objective
This study aimed to develop and beta test a social intervention prototype using a Facebook (Meta Platforms, Inc) group specifically designed for rural smokers seeking evidence-based smoking cessation resources.

Methods
We designed a culturally aligned and faith-aligned Facebook group intervention, FaithCore, tailored to engage rural people who smoke in smoking cessation resources. Both intervention content and engagement strategies were guided by community-based participatory research principles. Given the intervention’s focus on end users, that is, rural people who smoked, we conducted a beta test to assess any technical or usability issues of this intervention before any future trials for large-scale implementation.

Results
No critical beta test technical and usability issues were noted. Besides, the FaithCore intervention was helpful, easy to understand, and achieved its intended goals. Notably, 90% (9/10) of the participants reported that they tried quitting smoking, while 90% (9/10) reported using or seeking cessation resources discussed within the group.

Conclusions
This study shows that social media platform with culturally aligned and faith-aligned content and engagement strategies delivered by trained moderators are promising for smoking cessation interventions in rural communities. Our future step is to conduct a large pilot trial to evaluate the intervention’s effectiveness on smoking cessation outcomes.
Use of Generative AI for Improving Health Literacy in Reproductive Health: Case Study
Authors: Burns Christina , Bakaj Angela , Berishaj Amonda , Hristidis Vagelis , Deak Pamela , Equils Ozlem 
Published: July 2024

Background
Patients find technology tools to be more approachable for seeking sensitive health-related information, such as reproductive health information. The inventive conversational ability of artificial intelligence (AI) chatbots, such as ChatGPT (OpenAI Inc), offers a potential means for patients to effectively locate answers to their health-related questions digitally.

Objective
A pilot study was conducted to compare the novel ChatGPT with the existing Google Search technology for their ability to offer accurate, effective, and current information regarding proceeding action after missing a dose of oral contraceptive pill.

Methods
A sequence of 11 questions, mimicking a patient inquiring about the action to take after missing a dose of an oral contraceptive pill, were input into ChatGPT as a cascade, given the conversational ability of ChatGPT. The questions were input into 4 different ChatGPT accounts, with the account holders being of various demographics, to evaluate potential differences and biases in the responses given to different account holders. The leading question, “what should I do if I missed a day of my oral contraception birth control?” alone was then input into Google Search, given its nonconversational nature. The results from the ChatGPT questions and the Google Search results for the leading question were evaluated on their readability, accuracy, and effective delivery of information.

Results
The ChatGPT results were determined to be at an overall higher-grade reading level, with a longer reading duration, less accurate, less current, and with a less effective delivery of information. In contrast, the Google Search resulting answer box and snippets were at a lower-grade reading level, shorter reading duration, more current, able to reference the origin of the information (transparent), and provided the information in various formats in addition to text.

Conclusions
ChatGPT has room for improvement in accuracy, transparency, recency, and reliability before it can equitably be implemented into health care information delivery and provide the potential benefits it poses. However, AI may be used as a tool for providers to educate their patients in preferred, creative, and efficient ways, such as using AI to generate accessible short educational videos from health care provider-vetted information. Larger studies representing a diverse group of users are needed.
Analítica predictiva como apoyo en la salud pública: Modelos de pronóstico en salud mental con series de tiempo
Authors: Cifuentes Madrigal Andrea , Gómez Méndez Tomas Simon , Jiménez Zapata Maritza 
Published: July 2024

La salud mental ha sido declarada por la Organización Mundial de la Salud (OMS) como un asunto de interés prioritario en la salud pública internacional. En el caso particular de Colombia, se ha destacado la importancia de la atención a la salud mental incluyendo el fenómeno del suicidio. En este sentido, los entes reguladores han buscado alternativas que solucionen o contribuyan a la mitigación de esta problemática. En dicho contexto, se hace pertinente realizar contribuciones académicas en torno al desarrollo de herramientas que faciliten la toma de decisiones de los entes gubernamentales, por ejemplo, a través de la formulación de modelos de pronóstico que permita identificar tendencias y patrones de comportamiento de los intentos de suicidio.
Este artículo contribuye con esta brecha en la literatura para el caso particular de los casos de intentos de suicidio en la ciudad de Medellín, Colombia, a través del uso de analítica prescriptiva. Este trabajo presenta el ajuste, validación y comparación de tres diferentes modelos de series temporales, bajo criterios de mínimo error de pronóstico. Los modelos comparados incluyen aproximaciones paramétricas, Holt-Winters y Box-Jenkins; y se identifica que, para los datos analizados, el modelo paramétrico de componentes aditivos cúbico estacional con errores ARMA(0,5) es el que presenta menor error de pronóstico. Los resultados indican que este modelo logra capturar las tendencias del fenómeno, y que tiene un bajo nivel de error para la proyección en cuanto a tendencias cercanas, pero que no logra dar respuesta a los cambios repentinos en la estructura como los que ocurrieron en la pandemia de COVID-19.
Analisis Penggunaan Media Pembelajaran Block Brick dalam Minat Bermain pada Anak Usia 5-6 Tahun Kelompok B2 TK Hafidzan Lestari Kota Jambi
Authors: Sarmila Sarmila , Indryani Indryani , Harianja Sri Indriani 
Published: July 2024

Penelitian ini dilakukan dengan tujuan untuk mengetahui bagaimana penggunaan media pembelajaran block brick dalam minat bermain pada anak usia 5-6 tahun kelompok B2 di TK Hafidzan Lestari Kota Jambi. Jenis penelitian ini adalah penelitian deskripstif dengan pendekatan kualitatif. Subjek penelitian ini adalah anak usia 5-6 tahun kelompok B2 di TK Hafidzan Lestari yang berjumlah 20 anak. Observasi aktivitas belajar yang ditinjau dari minat bermain anak, wawancara dengan guru kelas dan dokumentasi menjadi Teknik pengumpulan data pada penelitian ini. Pengambilan sampel dilakukan dengan teknik sampling purposive. Berdasarkan hasil penelitian ini menunjukkan bahwa penggunaan media block brick dalam minat bermain anak usia 5-6 tahun kelompok B2 di TK Hafidzan Lestari Kota Jambi cukup baik dan minat anak dapat berkembang melalui media block brick.Kata Kunci: media pembelajaran, block brick, minat bermain, anak usia dini
Utilizing compositions of zircon and apatite for prospecting of Cu-Mo-Auporphyry mineralization in the Pekinsky and Tessemsky granitoid massifs of the Taimyr-Severozemelskaya folded area
Authors: Berzin S. V. , Petrov S. V. , Konopelko D. L. , Kurapov M. Yu. , Golovina T. A. , Chernenko N. Ya. , Chervyakovskiy V. S. 
Published: July 2024

Research subject. The Tessemsky granite massif is located in the North Taimyr tectonic zone, surrounded by Cambrian rocks. The Pekinsky granite massif is located within the Central Taimyr zone, surrounded by metamorphosed Proterozoic rocks. Aim. To develop a methodology for using the composition of accessory granitoid minerals when prospecting Cu-Mo-Au-porphyry mineralization on the example of the Pekinsky and Tessemsky granitoid massifs of the Taimyr Peninsula. Materials and methods. Accessory zircon and apatite contained in two granitoid samples from the Pekinsky massif (P1, P2) and two granitoid samples from the Tessemsky massif (T2, T3) were studied. Their mineral composition was examined using an EPMA Cameca SX100 instrument. The element content in minerals was determined by LA-ICPMS using an NexION 300S instrument equipped with an NWR 213 attachment. Results. Most of the zircons from the Pekinsky and Tessemsky massifs were formed at T < 738°C in oxidized magma with ΔFMQ of 0.6–2.6, which is a favorable sign for the identification of Cu-Mo-Au-porphyry mineralization. Zircons are characterized by elevated (Eu/Eu*)Y and (Ce/Nd)n/Y ratios, which is also a favorable, though not a strongly reliable, sign for identifying porphyry mineralization. The Eu/Eu* and Sr/Y ratios in the apatites from the Tessemsky massif are higher than those in the apatites from the Pekinsky massif. The rock compositions of both massifs fall within the fields of adakites on the classification diagrams. The estimates of oxygen fugacity (logfO2) calculated from Mn in apatites for four samples agree well within the error limits. Conclusion. Specific features of using the composition of accessory minerals (zircon and apatite) for prospecting the Cu-Mo-Au-porphyry mineralization associated with granitoids were considered. Accessory indicator minerals can be used to rank granitoid massifs in order to assess their ore content. The example of two granite intrusions of the Taimyr Peninsula made it was possible to show that the Tessemsky massif is more promising for the discovery of associated Cu-Mo-Auporphyry mineralization than the Pekinsky massif.
Bienestar socioemocional y uso tecnológico en enseñanza remota de docentes de secundarias de Sonora
Authors: Montoya Aguilar José Luis , Vera Noriega José Ángel , Tánori Quintana Jesús 
Published: July 2024

El objetivo del estudio es determinar las relaciones entre el bienestar socioemocional y el uso de la tecnología con la práctica pedagógica de docentes de escuelas públicas de secundaria en el Noroeste de México. Participaron 788 docentes, de los cuales 34.1 % son hombres, 65.6% son mujeres y 0.3% sin especificar. El diseño es de corte transversal con alcance explicativo y un muestreo por conveniencia no probabilístico. Se utilizó un cuestionario autoadministrable que indaga sobre el bienestar socioemocional, uso de tecnología y práctica pedagógica. Se llevaron a cabo análisis descriptivos, correlaciones y un modelo de regresión logística para conocer cuánto las variables predictoras, bienestar socioemocional y el uso tecnológico, explican la variable práctica docente. Los resultados indican asociaciones significativas en todas las dimensiones del bienestar socioemocional y uso de tecnología con la práctica pedagógica, incluida la regulación emocional y resiliencia, las cuales se asocian en un nivel medio-alto.

Socio-emotional well-being and technological use in remote teaching in high school teachers in Sonora
Abstract
The aim of this study was to test the relationship between socio-emotional well-being and the use of technology with the pedagogical practice of secondary school teachers in northwest Mexico. A total of 788 teachers participated, out of which 266 (34.1%) were males, 512 (65.6%) females, and 10 (.3%) unspecified. The design of this study is cross-sectional, with an explanatory scope, and used a non-probabilistic convenience sample. Self-administered questionnaires about socioemotional well-being, technology use, and pedagogical practice were used. Descriptive analyzes, correlations, and a logistic regression model were performed to test whether socioemotional well-being and technological use predicted teaching practice. The results indicate significant associations in all the dimensions of socioemotional well-being and the use of technology with pedagogical practice, including emotional regulation and resilience, which are associated at a medium-high level.
autoeficacia y autorregulación de la escritura en una clase de licenciatura con inglés B2
Authors: López Martínez Andrea , Balderas Ruiz Luis Antonio 
Published: July 2024

El estudio pretende detectar los errores más comunes que una clase de alumnos universitarios de quinto semestre, con un nivel de inglés B2, presentan en su escritura académica y la influencia de la autoeficacia para la autorregulación. Esta investigación identificó los problemas de escritura académica de los estudiantes mediante una prueba basada en los protocolos del Test of English for International Communication y la Escala de Clasificación de la Escritura de Cooper. Por otro lado, la autoeficacia para la autorregulación de la escritura académica se evaluó mediante la escala de Golombek, Kilngieck, y Scharlau. Las puntuaciones del examen revelaron que los estudiantes tenían dificultades en todos los aspectos de su escritura académica, especialmente en el dominio gramatical, debido a que su rendimiento se situó por debajo de lo que se considera adecuado para los estándares del nivel B2. El análisis correlacional de Pearson mostró una relación directa moderada significativa entre la autoeficacia para la autorreflexión y la escritura.

Self-efficacy for Self-regulation of Academic Writing in a class of B2 EFL Undergraduates
Abstract
This paper aimed to identify the most common mistakes that a class of fifth-semester undergraduates with an EFL B2 level of proficiency shows in their academic writing performance and the influence of self-efficacy for self-regulation. This research identified the academic writing problems of the students through a test based on TOEIC protocols and Cooper’s Classification of Writing Rating Scale. Self-efficacy for self-regulation of academic writing was measured using Golombek, Kilngieck, and Scharlau’s scale. The pre-test scores revealed that the students struggle in every aspect of their academic writing, especially in grammatical range and accuracy, where their performance stood below less than adequate for B2 level standards. Finally, Pearson Correlational Analysis showed a direct moderate significant relationship between self-efficacy for self-reflection and writing performance.
Panorama de la violencia contra las mujeres en la historia reciente de México
Authors: Ramírez Landa Martha 
Published: July 2024

Este artículo es parte de mi proyecto de investigación de maestría en ciencias sociales “Artivismo feminista: construcción de genealogías en respuesta a la violencia contra las mujeres en Xalapa, Veracruz. Antes, Durante y después del confinamiento por la pandemia del COVID-19”. La intención es contextualizar y rastrear el problema de la violencia contra las mujeres en México y entender su importancia en el movimiento feminista. Además de empatizar con la problemática. La violencia contra las mujeres, de acuerdo con Gago (2019), Sagot (2000), Segato (2003) y Butler (2020), no es resultado de comportamientos patológicos o naturales, sino que más bien son resultado de prácticas aprendidas y orientadas al sometimiento de los cuerpos femeninos para seguir reproduciendo un sistema de poder en el que gobiernan los hombres. La violencia contra las mujeres es una forma recurrente de reafirmar el mandato patriarcal y el poder que tienen los hombres sobre los cuerpos femenizados.
Relationship between Organizational Learning and Supply Chain Agility on Organizational Performance: A Quantitative Study in Fashion SMEs
Authors: Dewa Parama Kartika , Afiah Irma Nur , Umam Rofiqul 
Published: July 2024

Supply Chain Agility (SCA) is recognized as a crucial component in fostering organizational agility, offering a competitive and expansionary strategy for businesses. However, the impact of SCA on organizational performance, particularly in the fashion industry, remains underexplored. This study aims to investigate how learning and agility within the supply chain affect the performance of fashion SMEs, providing a comprehensive understanding of these dynamics. Employing a quantitative approach, data were collected through a questionnaire from 180 fashion SMEs in the Special Region of Yogyakarta, with responses obtained from managers in the fashion industry sector. This methodological choice ensures that the insights gathered are both relevant and specific to the targeted industry. A Structural Equation Modeling using Partial Least Squares (SEM-PLS) was utilized to test the hypotheses, focusing on both the direct and indirect effects of internal and external learning dimensions on organizational performance. The findings reveal that both learning and supply chain agility significantly enhance the performance of fashion SMEs, underscoring their importance in boosting organizational effectiveness. Specifically, the study highlights that internal learning processes and external knowledge acquisition are both critical in fostering a more agile and responsive supply chain. These results contribute to the understanding of how SMEs in the fashion sector can leverage learning and agility to improve performance, supporting the development of more effective supply chain strategies. Consequently, the study's hypotheses are validated, providing valuable insights for practitioners and researchers in the field. This research underscores the potential for fashion SMEs to enhance their competitive edge and operational efficiency through strategic learning and agile supply chain management.